iVOD / 16218

Field Value
IVOD_ID 16218
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16218
日期 2024-10-30
會議資料.會議代碼 委員會-11-2-19-9
會議資料.會議代碼:str 第11屆第2會期經濟委員會第9次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 9
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第2會期經濟委員會第9次全體委員會議
影片種類 Full
開始時間 2024-10-30T08:31:03+08:00
結束時間 2024-10-30T13:57:00+08:00
影片長度 05:25:57
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77dbb2ea4a3bfaaca62bd6a76734f73991820202062f76816a17244836a496fd33185ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-10-30T09:00:00+08:00
會議名稱 立法院第11屆第2會期經濟委員會第9次全體委員會議(事由:一、邀請經濟部部長列席報告業務概況,並備質詢。 二、邀請經濟部部長、環境部首長就「我國對設置SRF發電廠之規劃評估,及設置SRF發電廠對我國環境之影響」進行報告,並備質詢。)
委員名稱 完整會議
委員發言時間 08:31:03 - 13:57:00
transcript.pyannote[0].speaker SPEAKER_08
transcript.pyannote[0].start 1276.43909375
transcript.pyannote[0].end 1277.67096875
transcript.pyannote[1].speaker SPEAKER_27
transcript.pyannote[1].start 1277.67096875
transcript.pyannote[1].end 1277.72159375
transcript.pyannote[2].speaker SPEAKER_27
transcript.pyannote[2].start 1277.90721875
transcript.pyannote[2].end 1282.44659375
transcript.pyannote[3].speaker SPEAKER_39
transcript.pyannote[3].start 1334.97846875
transcript.pyannote[3].end 1335.09659375
transcript.pyannote[4].speaker SPEAKER_17
transcript.pyannote[4].start 1809.03096875
transcript.pyannote[4].end 1811.17409375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 1812.00096875
transcript.pyannote[5].end 1815.30846875
transcript.pyannote[6].speaker SPEAKER_17
transcript.pyannote[6].start 1816.50659375
transcript.pyannote[6].end 1821.02909375
transcript.pyannote[7].speaker SPEAKER_17
transcript.pyannote[7].start 1821.72096875
transcript.pyannote[7].end 1821.73784375
transcript.pyannote[8].speaker SPEAKER_08
transcript.pyannote[8].start 1821.73784375
transcript.pyannote[8].end 1836.11534375
transcript.pyannote[9].speaker SPEAKER_08
transcript.pyannote[9].start 1836.14909375
transcript.pyannote[9].end 1842.83159375
transcript.pyannote[10].speaker SPEAKER_08
transcript.pyannote[10].start 1844.14784375
transcript.pyannote[10].end 1853.36159375
transcript.pyannote[11].speaker SPEAKER_08
transcript.pyannote[11].start 1853.73284375
transcript.pyannote[11].end 1856.02784375
transcript.pyannote[12].speaker SPEAKER_08
transcript.pyannote[12].start 1856.95596875
transcript.pyannote[12].end 1858.37346875
transcript.pyannote[13].speaker SPEAKER_08
transcript.pyannote[13].start 1858.72784375
transcript.pyannote[13].end 1860.09471875
transcript.pyannote[14].speaker SPEAKER_08
transcript.pyannote[14].start 1860.12846875
transcript.pyannote[14].end 1860.76971875
transcript.pyannote[15].speaker SPEAKER_08
transcript.pyannote[15].start 1861.34346875
transcript.pyannote[15].end 1867.36784375
transcript.pyannote[16].speaker SPEAKER_08
transcript.pyannote[16].start 1867.78971875
transcript.pyannote[16].end 1878.67409375
transcript.pyannote[17].speaker SPEAKER_08
transcript.pyannote[17].start 1879.07909375
transcript.pyannote[17].end 1882.30221875
transcript.pyannote[18].speaker SPEAKER_08
transcript.pyannote[18].start 1882.75784375
transcript.pyannote[18].end 1887.95534375
transcript.pyannote[19].speaker SPEAKER_08
transcript.pyannote[19].start 1888.25909375
transcript.pyannote[19].end 1891.38096875
transcript.pyannote[20].speaker SPEAKER_08
transcript.pyannote[20].start 1891.80284375
transcript.pyannote[20].end 1894.94159375
transcript.pyannote[21].speaker SPEAKER_08
transcript.pyannote[21].start 1895.29596875
transcript.pyannote[21].end 1903.63221875
transcript.pyannote[22].speaker SPEAKER_08
transcript.pyannote[22].start 1903.93596875
transcript.pyannote[22].end 1906.97346875
transcript.pyannote[23].speaker SPEAKER_08
transcript.pyannote[23].start 1907.22659375
transcript.pyannote[23].end 1914.31409375
transcript.pyannote[24].speaker SPEAKER_08
transcript.pyannote[24].start 1914.71909375
transcript.pyannote[24].end 1923.76409375
transcript.pyannote[25].speaker SPEAKER_08
transcript.pyannote[25].start 1927.03784375
transcript.pyannote[25].end 1927.05471875
transcript.pyannote[26].speaker SPEAKER_17
transcript.pyannote[26].start 1927.05471875
transcript.pyannote[26].end 1928.67471875
transcript.pyannote[27].speaker SPEAKER_17
transcript.pyannote[27].start 1929.38346875
transcript.pyannote[27].end 1932.23534375
transcript.pyannote[28].speaker SPEAKER_17
transcript.pyannote[28].start 1932.55596875
transcript.pyannote[28].end 1933.97346875
transcript.pyannote[29].speaker SPEAKER_17
transcript.pyannote[29].start 1934.26034375
transcript.pyannote[29].end 1935.22221875
transcript.pyannote[30].speaker SPEAKER_17
transcript.pyannote[30].start 1935.79596875
transcript.pyannote[30].end 1936.97721875
transcript.pyannote[31].speaker SPEAKER_08
transcript.pyannote[31].start 1936.97721875
transcript.pyannote[31].end 1937.46659375
transcript.pyannote[32].speaker SPEAKER_08
transcript.pyannote[32].start 1938.05721875
transcript.pyannote[32].end 1942.02284375
transcript.pyannote[33].speaker SPEAKER_08
transcript.pyannote[33].start 1942.30971875
transcript.pyannote[33].end 1943.62596875
transcript.pyannote[34].speaker SPEAKER_08
transcript.pyannote[34].start 1943.81159375
transcript.pyannote[34].end 1944.31784375
transcript.pyannote[35].speaker SPEAKER_08
transcript.pyannote[35].start 1944.48659375
transcript.pyannote[35].end 1954.71284375
transcript.pyannote[36].speaker SPEAKER_17
transcript.pyannote[36].start 1959.30284375
transcript.pyannote[36].end 1979.73846875
transcript.pyannote[37].speaker SPEAKER_17
transcript.pyannote[37].start 1980.32909375
transcript.pyannote[37].end 1982.32034375
transcript.pyannote[38].speaker SPEAKER_17
transcript.pyannote[38].start 1985.88096875
transcript.pyannote[38].end 1987.07909375
transcript.pyannote[39].speaker SPEAKER_17
transcript.pyannote[39].start 1987.14659375
transcript.pyannote[39].end 1988.46284375
transcript.pyannote[40].speaker SPEAKER_17
transcript.pyannote[40].start 1989.84659375
transcript.pyannote[40].end 1992.14159375
transcript.pyannote[41].speaker SPEAKER_17
transcript.pyannote[41].start 1993.50846875
transcript.pyannote[41].end 1996.42784375
transcript.pyannote[42].speaker SPEAKER_17
transcript.pyannote[42].start 1997.65971875
transcript.pyannote[42].end 1998.50346875
transcript.pyannote[43].speaker SPEAKER_17
transcript.pyannote[43].start 1998.80721875
transcript.pyannote[43].end 2000.37659375
transcript.pyannote[44].speaker SPEAKER_17
transcript.pyannote[44].start 2002.24971875
transcript.pyannote[44].end 2004.24096875
transcript.pyannote[45].speaker SPEAKER_17
transcript.pyannote[45].start 2004.47721875
transcript.pyannote[45].end 2005.94534375
transcript.pyannote[46].speaker SPEAKER_17
transcript.pyannote[46].start 2007.34596875
transcript.pyannote[46].end 2009.37096875
transcript.pyannote[47].speaker SPEAKER_17
transcript.pyannote[47].start 2010.72096875
transcript.pyannote[47].end 2013.21846875
transcript.pyannote[48].speaker SPEAKER_17
transcript.pyannote[48].start 2015.59784375
transcript.pyannote[48].end 2017.28534375
transcript.pyannote[49].speaker SPEAKER_17
transcript.pyannote[49].start 2017.84221875
transcript.pyannote[49].end 2019.49596875
transcript.pyannote[50].speaker SPEAKER_17
transcript.pyannote[50].start 2021.14971875
transcript.pyannote[50].end 2024.10284375
transcript.pyannote[51].speaker SPEAKER_17
transcript.pyannote[51].start 2026.76909375
transcript.pyannote[51].end 2028.38909375
transcript.pyannote[52].speaker SPEAKER_17
transcript.pyannote[52].start 2031.51096875
transcript.pyannote[52].end 2032.13534375
transcript.pyannote[53].speaker SPEAKER_17
transcript.pyannote[53].start 2032.59096875
transcript.pyannote[53].end 2033.04659375
transcript.pyannote[54].speaker SPEAKER_17
transcript.pyannote[54].start 2033.62034375
transcript.pyannote[54].end 2034.12659375
transcript.pyannote[55].speaker SPEAKER_17
transcript.pyannote[55].start 2036.21909375
transcript.pyannote[55].end 2040.48846875
transcript.pyannote[56].speaker SPEAKER_17
transcript.pyannote[56].start 2042.56409375
transcript.pyannote[56].end 2044.06596875
transcript.pyannote[57].speaker SPEAKER_17
transcript.pyannote[57].start 2044.43721875
transcript.pyannote[57].end 2046.17534375
transcript.pyannote[58].speaker SPEAKER_17
transcript.pyannote[58].start 2048.31846875
transcript.pyannote[58].end 2049.75284375
transcript.pyannote[59].speaker SPEAKER_17
transcript.pyannote[59].start 2050.27596875
transcript.pyannote[59].end 2051.77784375
transcript.pyannote[60].speaker SPEAKER_17
transcript.pyannote[60].start 2054.15721875
transcript.pyannote[60].end 2055.62534375
transcript.pyannote[61].speaker SPEAKER_17
transcript.pyannote[61].start 2056.26659375
transcript.pyannote[61].end 2056.82346875
transcript.pyannote[62].speaker SPEAKER_17
transcript.pyannote[62].start 2057.44784375
transcript.pyannote[62].end 2060.38409375
transcript.pyannote[63].speaker SPEAKER_17
transcript.pyannote[63].start 2061.63284375
transcript.pyannote[63].end 2064.09659375
transcript.pyannote[64].speaker SPEAKER_17
transcript.pyannote[64].start 2065.41284375
transcript.pyannote[64].end 2067.91034375
transcript.pyannote[65].speaker SPEAKER_17
transcript.pyannote[65].start 2069.46284375
transcript.pyannote[65].end 2070.23909375
transcript.pyannote[66].speaker SPEAKER_17
transcript.pyannote[66].start 2071.03221875
transcript.pyannote[66].end 2072.17971875
transcript.pyannote[67].speaker SPEAKER_17
transcript.pyannote[67].start 2072.19659375
transcript.pyannote[67].end 2073.20909375
transcript.pyannote[68].speaker SPEAKER_17
transcript.pyannote[68].start 2076.75284375
transcript.pyannote[68].end 2077.34346875
transcript.pyannote[69].speaker SPEAKER_17
transcript.pyannote[69].start 2077.88346875
transcript.pyannote[69].end 2080.54971875
transcript.pyannote[70].speaker SPEAKER_17
transcript.pyannote[70].start 2084.97096875
transcript.pyannote[70].end 2090.70846875
transcript.pyannote[71].speaker SPEAKER_22
transcript.pyannote[71].start 2103.49971875
transcript.pyannote[71].end 2104.09034375
transcript.pyannote[72].speaker SPEAKER_22
transcript.pyannote[72].start 2104.71471875
transcript.pyannote[72].end 2105.42346875
transcript.pyannote[73].speaker SPEAKER_22
transcript.pyannote[73].start 2106.08159375
transcript.pyannote[73].end 2106.60471875
transcript.pyannote[74].speaker SPEAKER_22
transcript.pyannote[74].start 2107.38096875
transcript.pyannote[74].end 2108.88284375
transcript.pyannote[75].speaker SPEAKER_22
transcript.pyannote[75].start 2108.98409375
transcript.pyannote[75].end 2110.11471875
transcript.pyannote[76].speaker SPEAKER_22
transcript.pyannote[76].start 2110.65471875
transcript.pyannote[76].end 2111.90346875
transcript.pyannote[77].speaker SPEAKER_22
transcript.pyannote[77].start 2112.67971875
transcript.pyannote[77].end 2113.57409375
transcript.pyannote[78].speaker SPEAKER_22
transcript.pyannote[78].start 2114.35034375
transcript.pyannote[78].end 2115.51471875
transcript.pyannote[79].speaker SPEAKER_22
transcript.pyannote[79].start 2115.66659375
transcript.pyannote[79].end 2116.39221875
transcript.pyannote[80].speaker SPEAKER_22
transcript.pyannote[80].start 2117.13471875
transcript.pyannote[80].end 2121.64034375
transcript.pyannote[81].speaker SPEAKER_22
transcript.pyannote[81].start 2121.97784375
transcript.pyannote[81].end 2124.15471875
transcript.pyannote[82].speaker SPEAKER_22
transcript.pyannote[82].start 2125.33596875
transcript.pyannote[82].end 2126.56784375
transcript.pyannote[83].speaker SPEAKER_22
transcript.pyannote[83].start 2126.97284375
transcript.pyannote[83].end 2128.30596875
transcript.pyannote[84].speaker SPEAKER_22
transcript.pyannote[84].start 2128.98096875
transcript.pyannote[84].end 2129.53784375
transcript.pyannote[85].speaker SPEAKER_22
transcript.pyannote[85].start 2130.06096875
transcript.pyannote[85].end 2130.65159375
transcript.pyannote[86].speaker SPEAKER_22
transcript.pyannote[86].start 2131.17471875
transcript.pyannote[86].end 2132.64284375
transcript.pyannote[87].speaker SPEAKER_22
transcript.pyannote[87].start 2132.99721875
transcript.pyannote[87].end 2134.65096875
transcript.pyannote[88].speaker SPEAKER_22
transcript.pyannote[88].start 2135.59596875
transcript.pyannote[88].end 2137.67159375
transcript.pyannote[89].speaker SPEAKER_22
transcript.pyannote[89].start 2138.51534375
transcript.pyannote[89].end 2141.33346875
transcript.pyannote[90].speaker SPEAKER_22
transcript.pyannote[90].start 2142.17721875
transcript.pyannote[90].end 2145.29909375
transcript.pyannote[91].speaker SPEAKER_22
transcript.pyannote[91].start 2146.49721875
transcript.pyannote[91].end 2148.42096875
transcript.pyannote[92].speaker SPEAKER_22
transcript.pyannote[92].start 2148.72471875
transcript.pyannote[92].end 2150.95221875
transcript.pyannote[93].speaker SPEAKER_22
transcript.pyannote[93].start 2151.84659375
transcript.pyannote[93].end 2156.06534375
transcript.pyannote[94].speaker SPEAKER_22
transcript.pyannote[94].start 2156.47034375
transcript.pyannote[94].end 2158.73159375
transcript.pyannote[95].speaker SPEAKER_22
transcript.pyannote[95].start 2159.79471875
transcript.pyannote[95].end 2160.87471875
transcript.pyannote[96].speaker SPEAKER_22
transcript.pyannote[96].start 2161.76909375
transcript.pyannote[96].end 2162.47784375
transcript.pyannote[97].speaker SPEAKER_22
transcript.pyannote[97].start 2163.52409375
transcript.pyannote[97].end 2166.10596875
transcript.pyannote[98].speaker SPEAKER_22
transcript.pyannote[98].start 2166.98346875
transcript.pyannote[98].end 2169.07596875
transcript.pyannote[99].speaker SPEAKER_22
transcript.pyannote[99].start 2169.90284375
transcript.pyannote[99].end 2170.54409375
transcript.pyannote[100].speaker SPEAKER_22
transcript.pyannote[100].start 2170.93221875
transcript.pyannote[100].end 2172.82221875
transcript.pyannote[101].speaker SPEAKER_22
transcript.pyannote[101].start 2173.29471875
transcript.pyannote[101].end 2176.58534375
transcript.pyannote[102].speaker SPEAKER_22
transcript.pyannote[102].start 2177.32784375
transcript.pyannote[102].end 2178.28971875
transcript.pyannote[103].speaker SPEAKER_22
transcript.pyannote[103].start 2179.65659375
transcript.pyannote[103].end 2181.61409375
transcript.pyannote[104].speaker SPEAKER_22
transcript.pyannote[104].start 2182.44096875
transcript.pyannote[104].end 2185.84971875
transcript.pyannote[105].speaker SPEAKER_22
transcript.pyannote[105].start 2186.32221875
transcript.pyannote[105].end 2191.03034375
transcript.pyannote[106].speaker SPEAKER_22
transcript.pyannote[106].start 2191.62096875
transcript.pyannote[106].end 2193.24096875
transcript.pyannote[107].speaker SPEAKER_22
transcript.pyannote[107].start 2193.39284375
transcript.pyannote[107].end 2194.30409375
transcript.pyannote[108].speaker SPEAKER_22
transcript.pyannote[108].start 2195.53596875
transcript.pyannote[108].end 2198.01659375
transcript.pyannote[109].speaker SPEAKER_22
transcript.pyannote[109].start 2198.28659375
transcript.pyannote[109].end 2200.66596875
transcript.pyannote[110].speaker SPEAKER_22
transcript.pyannote[110].start 2200.76721875
transcript.pyannote[110].end 2202.25221875
transcript.pyannote[111].speaker SPEAKER_22
transcript.pyannote[111].start 2202.91034375
transcript.pyannote[111].end 2205.18846875
transcript.pyannote[112].speaker SPEAKER_22
transcript.pyannote[112].start 2205.67784375
transcript.pyannote[112].end 2207.80409375
transcript.pyannote[113].speaker SPEAKER_22
transcript.pyannote[113].start 2208.73221875
transcript.pyannote[113].end 2209.59284375
transcript.pyannote[114].speaker SPEAKER_22
transcript.pyannote[114].start 2209.77846875
transcript.pyannote[114].end 2211.80346875
transcript.pyannote[115].speaker SPEAKER_22
transcript.pyannote[115].start 2212.98471875
transcript.pyannote[115].end 2217.69284375
transcript.pyannote[116].speaker SPEAKER_22
transcript.pyannote[116].start 2218.67159375
transcript.pyannote[116].end 2222.58659375
transcript.pyannote[117].speaker SPEAKER_22
transcript.pyannote[117].start 2223.29534375
transcript.pyannote[117].end 2227.51409375
transcript.pyannote[118].speaker SPEAKER_22
transcript.pyannote[118].start 2228.47596875
transcript.pyannote[118].end 2231.76659375
transcript.pyannote[119].speaker SPEAKER_22
transcript.pyannote[119].start 2233.08284375
transcript.pyannote[119].end 2233.70721875
transcript.pyannote[120].speaker SPEAKER_22
transcript.pyannote[120].start 2233.92659375
transcript.pyannote[120].end 2237.52096875
transcript.pyannote[121].speaker SPEAKER_22
transcript.pyannote[121].start 2238.17909375
transcript.pyannote[121].end 2240.15346875
transcript.pyannote[122].speaker SPEAKER_22
transcript.pyannote[122].start 2240.40659375
transcript.pyannote[122].end 2242.12784375
transcript.pyannote[123].speaker SPEAKER_22
transcript.pyannote[123].start 2242.71846875
transcript.pyannote[123].end 2243.78159375
transcript.pyannote[124].speaker SPEAKER_22
transcript.pyannote[124].start 2244.49034375
transcript.pyannote[124].end 2246.09346875
transcript.pyannote[125].speaker SPEAKER_22
transcript.pyannote[125].start 2246.53221875
transcript.pyannote[125].end 2247.94971875
transcript.pyannote[126].speaker SPEAKER_22
transcript.pyannote[126].start 2249.68784375
transcript.pyannote[126].end 2251.03784375
transcript.pyannote[127].speaker SPEAKER_22
transcript.pyannote[127].start 2251.49346875
transcript.pyannote[127].end 2252.43846875
transcript.pyannote[128].speaker SPEAKER_22
transcript.pyannote[128].start 2252.82659375
transcript.pyannote[128].end 2254.27784375
transcript.pyannote[129].speaker SPEAKER_22
transcript.pyannote[129].start 2254.90221875
transcript.pyannote[129].end 2256.28596875
transcript.pyannote[130].speaker SPEAKER_22
transcript.pyannote[130].start 2256.84284375
transcript.pyannote[130].end 2258.93534375
transcript.pyannote[131].speaker SPEAKER_22
transcript.pyannote[131].start 2259.42471875
transcript.pyannote[131].end 2260.94346875
transcript.pyannote[132].speaker SPEAKER_22
transcript.pyannote[132].start 2261.29784375
transcript.pyannote[132].end 2262.74909375
transcript.pyannote[133].speaker SPEAKER_22
transcript.pyannote[133].start 2263.03596875
transcript.pyannote[133].end 2263.72784375
transcript.pyannote[134].speaker SPEAKER_22
transcript.pyannote[134].start 2264.26784375
transcript.pyannote[134].end 2266.78221875
transcript.pyannote[135].speaker SPEAKER_22
transcript.pyannote[135].start 2267.35596875
transcript.pyannote[135].end 2270.29221875
transcript.pyannote[136].speaker SPEAKER_22
transcript.pyannote[136].start 2270.56221875
transcript.pyannote[136].end 2272.73909375
transcript.pyannote[137].speaker SPEAKER_22
transcript.pyannote[137].start 2273.51534375
transcript.pyannote[137].end 2274.76409375
transcript.pyannote[138].speaker SPEAKER_22
transcript.pyannote[138].start 2275.42221875
transcript.pyannote[138].end 2276.23221875
transcript.pyannote[139].speaker SPEAKER_22
transcript.pyannote[139].start 2277.16034375
transcript.pyannote[139].end 2277.75096875
transcript.pyannote[140].speaker SPEAKER_22
transcript.pyannote[140].start 2278.37534375
transcript.pyannote[140].end 2280.43409375
transcript.pyannote[141].speaker SPEAKER_22
transcript.pyannote[141].start 2280.82221875
transcript.pyannote[141].end 2282.23971875
transcript.pyannote[142].speaker SPEAKER_22
transcript.pyannote[142].start 2282.61096875
transcript.pyannote[142].end 2285.07471875
transcript.pyannote[143].speaker SPEAKER_22
transcript.pyannote[143].start 2285.42909375
transcript.pyannote[143].end 2287.06596875
transcript.pyannote[144].speaker SPEAKER_22
transcript.pyannote[144].start 2287.97721875
transcript.pyannote[144].end 2290.32284375
transcript.pyannote[145].speaker SPEAKER_22
transcript.pyannote[145].start 2291.35221875
transcript.pyannote[145].end 2291.92596875
transcript.pyannote[146].speaker SPEAKER_22
transcript.pyannote[146].start 2293.20846875
transcript.pyannote[146].end 2294.89596875
transcript.pyannote[147].speaker SPEAKER_22
transcript.pyannote[147].start 2295.13221875
transcript.pyannote[147].end 2295.48659375
transcript.pyannote[148].speaker SPEAKER_22
transcript.pyannote[148].start 2296.07721875
transcript.pyannote[148].end 2297.02221875
transcript.pyannote[149].speaker SPEAKER_22
transcript.pyannote[149].start 2297.74784375
transcript.pyannote[149].end 2300.36346875
transcript.pyannote[150].speaker SPEAKER_22
transcript.pyannote[150].start 2300.92034375
transcript.pyannote[150].end 2302.65846875
transcript.pyannote[151].speaker SPEAKER_22
transcript.pyannote[151].start 2303.70471875
transcript.pyannote[151].end 2304.64971875
transcript.pyannote[152].speaker SPEAKER_22
transcript.pyannote[152].start 2305.12221875
transcript.pyannote[152].end 2307.40034375
transcript.pyannote[153].speaker SPEAKER_22
transcript.pyannote[153].start 2308.00784375
transcript.pyannote[153].end 2308.96971875
transcript.pyannote[154].speaker SPEAKER_22
transcript.pyannote[154].start 2309.25659375
transcript.pyannote[154].end 2310.74159375
transcript.pyannote[155].speaker SPEAKER_22
transcript.pyannote[155].start 2311.11284375
transcript.pyannote[155].end 2312.74971875
transcript.pyannote[156].speaker SPEAKER_22
transcript.pyannote[156].start 2313.05346875
transcript.pyannote[156].end 2314.89284375
transcript.pyannote[157].speaker SPEAKER_22
transcript.pyannote[157].start 2316.34409375
transcript.pyannote[157].end 2319.28034375
transcript.pyannote[158].speaker SPEAKER_22
transcript.pyannote[158].start 2319.88784375
transcript.pyannote[158].end 2321.28846875
transcript.pyannote[159].speaker SPEAKER_22
transcript.pyannote[159].start 2321.82846875
transcript.pyannote[159].end 2322.52034375
transcript.pyannote[160].speaker SPEAKER_22
transcript.pyannote[160].start 2322.75659375
transcript.pyannote[160].end 2325.69284375
transcript.pyannote[161].speaker SPEAKER_22
transcript.pyannote[161].start 2325.92909375
transcript.pyannote[161].end 2327.56596875
transcript.pyannote[162].speaker SPEAKER_22
transcript.pyannote[162].start 2328.03846875
transcript.pyannote[162].end 2330.51909375
transcript.pyannote[163].speaker SPEAKER_22
transcript.pyannote[163].start 2330.89034375
transcript.pyannote[163].end 2335.27784375
transcript.pyannote[164].speaker SPEAKER_22
transcript.pyannote[164].start 2336.37471875
transcript.pyannote[164].end 2338.58534375
transcript.pyannote[165].speaker SPEAKER_22
transcript.pyannote[165].start 2339.04096875
transcript.pyannote[165].end 2340.88034375
transcript.pyannote[166].speaker SPEAKER_22
transcript.pyannote[166].start 2341.69034375
transcript.pyannote[166].end 2343.22596875
transcript.pyannote[167].speaker SPEAKER_22
transcript.pyannote[167].start 2343.58034375
transcript.pyannote[167].end 2346.19596875
transcript.pyannote[168].speaker SPEAKER_22
transcript.pyannote[168].start 2346.73596875
transcript.pyannote[168].end 2358.48096875
transcript.pyannote[169].speaker SPEAKER_22
transcript.pyannote[169].start 2360.11784375
transcript.pyannote[169].end 2362.85159375
transcript.pyannote[170].speaker SPEAKER_22
transcript.pyannote[170].start 2363.32409375
transcript.pyannote[170].end 2365.34909375
transcript.pyannote[171].speaker SPEAKER_22
transcript.pyannote[171].start 2365.43346875
transcript.pyannote[171].end 2367.18846875
transcript.pyannote[172].speaker SPEAKER_22
transcript.pyannote[172].start 2368.01534375
transcript.pyannote[172].end 2369.80409375
transcript.pyannote[173].speaker SPEAKER_22
transcript.pyannote[173].start 2370.17534375
transcript.pyannote[173].end 2371.52534375
transcript.pyannote[174].speaker SPEAKER_22
transcript.pyannote[174].start 2371.64346875
transcript.pyannote[174].end 2374.71471875
transcript.pyannote[175].speaker SPEAKER_22
transcript.pyannote[175].start 2375.38971875
transcript.pyannote[175].end 2376.62159375
transcript.pyannote[176].speaker SPEAKER_22
transcript.pyannote[176].start 2377.12784375
transcript.pyannote[176].end 2379.03471875
transcript.pyannote[177].speaker SPEAKER_22
transcript.pyannote[177].start 2379.06846875
transcript.pyannote[177].end 2381.07659375
transcript.pyannote[178].speaker SPEAKER_22
transcript.pyannote[178].start 2382.03846875
transcript.pyannote[178].end 2384.43471875
transcript.pyannote[179].speaker SPEAKER_22
transcript.pyannote[179].start 2384.99159375
transcript.pyannote[179].end 2385.51471875
transcript.pyannote[180].speaker SPEAKER_22
transcript.pyannote[180].start 2386.37534375
transcript.pyannote[180].end 2387.52284375
transcript.pyannote[181].speaker SPEAKER_22
transcript.pyannote[181].start 2387.91096875
transcript.pyannote[181].end 2388.78846875
transcript.pyannote[182].speaker SPEAKER_22
transcript.pyannote[182].start 2389.34534375
transcript.pyannote[182].end 2392.48409375
transcript.pyannote[183].speaker SPEAKER_22
transcript.pyannote[183].start 2392.92284375
transcript.pyannote[183].end 2395.33596875
transcript.pyannote[184].speaker SPEAKER_22
transcript.pyannote[184].start 2396.31471875
transcript.pyannote[184].end 2410.16909375
transcript.pyannote[185].speaker SPEAKER_22
transcript.pyannote[185].start 2411.16471875
transcript.pyannote[185].end 2413.64534375
transcript.pyannote[186].speaker SPEAKER_22
transcript.pyannote[186].start 2414.03346875
transcript.pyannote[186].end 2417.39159375
transcript.pyannote[187].speaker SPEAKER_22
transcript.pyannote[187].start 2417.99909375
transcript.pyannote[187].end 2419.73721875
transcript.pyannote[188].speaker SPEAKER_22
transcript.pyannote[188].start 2420.12534375
transcript.pyannote[188].end 2422.08284375
transcript.pyannote[189].speaker SPEAKER_22
transcript.pyannote[189].start 2422.96034375
transcript.pyannote[189].end 2425.39034375
transcript.pyannote[190].speaker SPEAKER_22
transcript.pyannote[190].start 2425.54221875
transcript.pyannote[190].end 2426.63909375
transcript.pyannote[191].speaker SPEAKER_22
transcript.pyannote[191].start 2427.46596875
transcript.pyannote[191].end 2430.79034375
transcript.pyannote[192].speaker SPEAKER_22
transcript.pyannote[192].start 2431.34721875
transcript.pyannote[192].end 2434.63784375
transcript.pyannote[193].speaker SPEAKER_22
transcript.pyannote[193].start 2435.34659375
transcript.pyannote[193].end 2435.73471875
transcript.pyannote[194].speaker SPEAKER_22
transcript.pyannote[194].start 2436.42659375
transcript.pyannote[194].end 2437.08471875
transcript.pyannote[195].speaker SPEAKER_22
transcript.pyannote[195].start 2437.59096875
transcript.pyannote[195].end 2439.16034375
transcript.pyannote[196].speaker SPEAKER_22
transcript.pyannote[196].start 2439.39659375
transcript.pyannote[196].end 2441.33721875
transcript.pyannote[197].speaker SPEAKER_22
transcript.pyannote[197].start 2441.75909375
transcript.pyannote[197].end 2442.41721875
transcript.pyannote[198].speaker SPEAKER_22
transcript.pyannote[198].start 2442.80534375
transcript.pyannote[198].end 2443.56471875
transcript.pyannote[199].speaker SPEAKER_22
transcript.pyannote[199].start 2443.71659375
transcript.pyannote[199].end 2444.49284375
transcript.pyannote[200].speaker SPEAKER_22
transcript.pyannote[200].start 2445.13409375
transcript.pyannote[200].end 2448.99846875
transcript.pyannote[201].speaker SPEAKER_22
transcript.pyannote[201].start 2449.87596875
transcript.pyannote[201].end 2452.17096875
transcript.pyannote[202].speaker SPEAKER_22
transcript.pyannote[202].start 2452.57596875
transcript.pyannote[202].end 2455.91721875
transcript.pyannote[203].speaker SPEAKER_22
transcript.pyannote[203].start 2457.21659375
transcript.pyannote[203].end 2458.80284375
transcript.pyannote[204].speaker SPEAKER_22
transcript.pyannote[204].start 2459.00534375
transcript.pyannote[204].end 2462.24534375
transcript.pyannote[205].speaker SPEAKER_22
transcript.pyannote[205].start 2462.75159375
transcript.pyannote[205].end 2468.48909375
transcript.pyannote[206].speaker SPEAKER_22
transcript.pyannote[206].start 2469.11346875
transcript.pyannote[206].end 2472.31971875
transcript.pyannote[207].speaker SPEAKER_22
transcript.pyannote[207].start 2472.72471875
transcript.pyannote[207].end 2477.56784375
transcript.pyannote[208].speaker SPEAKER_22
transcript.pyannote[208].start 2478.17534375
transcript.pyannote[208].end 2481.17909375
transcript.pyannote[209].speaker SPEAKER_22
transcript.pyannote[209].start 2482.46159375
transcript.pyannote[209].end 2483.05221875
transcript.pyannote[210].speaker SPEAKER_22
transcript.pyannote[210].start 2483.62596875
transcript.pyannote[210].end 2484.65534375
transcript.pyannote[211].speaker SPEAKER_22
transcript.pyannote[211].start 2484.85784375
transcript.pyannote[211].end 2486.78159375
transcript.pyannote[212].speaker SPEAKER_22
transcript.pyannote[212].start 2487.59159375
transcript.pyannote[212].end 2488.92471875
transcript.pyannote[213].speaker SPEAKER_22
transcript.pyannote[213].start 2489.46471875
transcript.pyannote[213].end 2491.55721875
transcript.pyannote[214].speaker SPEAKER_22
transcript.pyannote[214].start 2491.92846875
transcript.pyannote[214].end 2492.55284375
transcript.pyannote[215].speaker SPEAKER_22
transcript.pyannote[215].start 2492.78909375
transcript.pyannote[215].end 2495.28659375
transcript.pyannote[216].speaker SPEAKER_22
transcript.pyannote[216].start 2495.91096875
transcript.pyannote[216].end 2499.62346875
transcript.pyannote[217].speaker SPEAKER_22
transcript.pyannote[217].start 2500.07909375
transcript.pyannote[217].end 2505.69846875
transcript.pyannote[218].speaker SPEAKER_22
transcript.pyannote[218].start 2505.86721875
transcript.pyannote[218].end 2508.58409375
transcript.pyannote[219].speaker SPEAKER_22
transcript.pyannote[219].start 2509.68096875
transcript.pyannote[219].end 2510.91284375
transcript.pyannote[220].speaker SPEAKER_22
transcript.pyannote[220].start 2511.33471875
transcript.pyannote[220].end 2512.68471875
transcript.pyannote[221].speaker SPEAKER_22
transcript.pyannote[221].start 2512.70159375
transcript.pyannote[221].end 2514.03471875
transcript.pyannote[222].speaker SPEAKER_22
transcript.pyannote[222].start 2514.79409375
transcript.pyannote[222].end 2516.85284375
transcript.pyannote[223].speaker SPEAKER_22
transcript.pyannote[223].start 2517.19034375
transcript.pyannote[223].end 2517.64596875
transcript.pyannote[224].speaker SPEAKER_22
transcript.pyannote[224].start 2518.60784375
transcript.pyannote[224].end 2520.32909375
transcript.pyannote[225].speaker SPEAKER_22
transcript.pyannote[225].start 2520.88596875
transcript.pyannote[225].end 2521.61159375
transcript.pyannote[226].speaker SPEAKER_22
transcript.pyannote[226].start 2521.71284375
transcript.pyannote[226].end 2522.91096875
transcript.pyannote[227].speaker SPEAKER_22
transcript.pyannote[227].start 2523.58596875
transcript.pyannote[227].end 2525.88096875
transcript.pyannote[228].speaker SPEAKER_22
transcript.pyannote[228].start 2526.43784375
transcript.pyannote[228].end 2530.84221875
transcript.pyannote[229].speaker SPEAKER_22
transcript.pyannote[229].start 2530.96034375
transcript.pyannote[229].end 2534.63909375
transcript.pyannote[230].speaker SPEAKER_22
transcript.pyannote[230].start 2535.39846875
transcript.pyannote[230].end 2552.59409375
transcript.pyannote[231].speaker SPEAKER_22
transcript.pyannote[231].start 2552.83034375
transcript.pyannote[231].end 2554.19721875
transcript.pyannote[232].speaker SPEAKER_22
transcript.pyannote[232].start 2555.46284375
transcript.pyannote[232].end 2559.58034375
transcript.pyannote[233].speaker SPEAKER_22
transcript.pyannote[233].start 2560.00221875
transcript.pyannote[233].end 2561.72346875
transcript.pyannote[234].speaker SPEAKER_22
transcript.pyannote[234].start 2561.74034375
transcript.pyannote[234].end 2561.75721875
transcript.pyannote[235].speaker SPEAKER_22
transcript.pyannote[235].start 2561.79096875
transcript.pyannote[235].end 2566.43159375
transcript.pyannote[236].speaker SPEAKER_22
transcript.pyannote[236].start 2567.42721875
transcript.pyannote[236].end 2569.23284375
transcript.pyannote[237].speaker SPEAKER_22
transcript.pyannote[237].start 2569.90784375
transcript.pyannote[237].end 2571.49409375
transcript.pyannote[238].speaker SPEAKER_22
transcript.pyannote[238].start 2572.08471875
transcript.pyannote[238].end 2572.99596875
transcript.pyannote[239].speaker SPEAKER_22
transcript.pyannote[239].start 2575.02096875
transcript.pyannote[239].end 2577.75471875
transcript.pyannote[240].speaker SPEAKER_22
transcript.pyannote[240].start 2578.21034375
transcript.pyannote[240].end 2579.34096875
transcript.pyannote[241].speaker SPEAKER_22
transcript.pyannote[241].start 2579.61096875
transcript.pyannote[241].end 2581.39971875
transcript.pyannote[242].speaker SPEAKER_22
transcript.pyannote[242].start 2581.80471875
transcript.pyannote[242].end 2587.25534375
transcript.pyannote[243].speaker SPEAKER_22
transcript.pyannote[243].start 2587.93034375
transcript.pyannote[243].end 2589.53346875
transcript.pyannote[244].speaker SPEAKER_22
transcript.pyannote[244].start 2589.83721875
transcript.pyannote[244].end 2593.07721875
transcript.pyannote[245].speaker SPEAKER_22
transcript.pyannote[245].start 2594.02221875
transcript.pyannote[245].end 2595.35534375
transcript.pyannote[246].speaker SPEAKER_22
transcript.pyannote[246].start 2595.74346875
transcript.pyannote[246].end 2597.59971875
transcript.pyannote[247].speaker SPEAKER_22
transcript.pyannote[247].start 2598.91596875
transcript.pyannote[247].end 2602.74659375
transcript.pyannote[248].speaker SPEAKER_22
transcript.pyannote[248].start 2603.26971875
transcript.pyannote[248].end 2604.94034375
transcript.pyannote[249].speaker SPEAKER_22
transcript.pyannote[249].start 2605.66596875
transcript.pyannote[249].end 2612.02784375
transcript.pyannote[250].speaker SPEAKER_22
transcript.pyannote[250].start 2612.60159375
transcript.pyannote[250].end 2614.47471875
transcript.pyannote[251].speaker SPEAKER_22
transcript.pyannote[251].start 2614.86284375
transcript.pyannote[251].end 2615.77409375
transcript.pyannote[252].speaker SPEAKER_22
transcript.pyannote[252].start 2616.60096875
transcript.pyannote[252].end 2619.58784375
transcript.pyannote[253].speaker SPEAKER_22
transcript.pyannote[253].start 2620.19534375
transcript.pyannote[253].end 2625.57846875
transcript.pyannote[254].speaker SPEAKER_22
transcript.pyannote[254].start 2625.96659375
transcript.pyannote[254].end 2631.99096875
transcript.pyannote[255].speaker SPEAKER_22
transcript.pyannote[255].start 2632.58159375
transcript.pyannote[255].end 2633.86409375
transcript.pyannote[256].speaker SPEAKER_22
transcript.pyannote[256].start 2634.35346875
transcript.pyannote[256].end 2637.72846875
transcript.pyannote[257].speaker SPEAKER_22
transcript.pyannote[257].start 2638.31909375
transcript.pyannote[257].end 2639.60159375
transcript.pyannote[258].speaker SPEAKER_22
transcript.pyannote[258].start 2639.78721875
transcript.pyannote[258].end 2641.42409375
transcript.pyannote[259].speaker SPEAKER_22
transcript.pyannote[259].start 2641.93034375
transcript.pyannote[259].end 2645.49096875
transcript.pyannote[260].speaker SPEAKER_22
transcript.pyannote[260].start 2646.55409375
transcript.pyannote[260].end 2647.51596875
transcript.pyannote[261].speaker SPEAKER_22
transcript.pyannote[261].start 2647.83659375
transcript.pyannote[261].end 2648.71409375
transcript.pyannote[262].speaker SPEAKER_22
transcript.pyannote[262].start 2649.28784375
transcript.pyannote[262].end 2650.36784375
transcript.pyannote[263].speaker SPEAKER_22
transcript.pyannote[263].start 2650.57034375
transcript.pyannote[263].end 2652.79784375
transcript.pyannote[264].speaker SPEAKER_22
transcript.pyannote[264].start 2653.27034375
transcript.pyannote[264].end 2656.42596875
transcript.pyannote[265].speaker SPEAKER_22
transcript.pyannote[265].start 2657.33721875
transcript.pyannote[265].end 2657.99534375
transcript.pyannote[266].speaker SPEAKER_22
transcript.pyannote[266].start 2658.41721875
transcript.pyannote[266].end 2660.89784375
transcript.pyannote[267].speaker SPEAKER_22
transcript.pyannote[267].start 2661.18471875
transcript.pyannote[267].end 2662.11284375
transcript.pyannote[268].speaker SPEAKER_22
transcript.pyannote[268].start 2663.07471875
transcript.pyannote[268].end 2665.45409375
transcript.pyannote[269].speaker SPEAKER_22
transcript.pyannote[269].start 2666.11221875
transcript.pyannote[269].end 2667.14159375
transcript.pyannote[270].speaker SPEAKER_22
transcript.pyannote[270].start 2667.41159375
transcript.pyannote[270].end 2669.40284375
transcript.pyannote[271].speaker SPEAKER_22
transcript.pyannote[271].start 2669.94284375
transcript.pyannote[271].end 2670.90471875
transcript.pyannote[272].speaker SPEAKER_22
transcript.pyannote[272].start 2671.61346875
transcript.pyannote[272].end 2672.45721875
transcript.pyannote[273].speaker SPEAKER_22
transcript.pyannote[273].start 2673.06471875
transcript.pyannote[273].end 2677.82346875
transcript.pyannote[274].speaker SPEAKER_22
transcript.pyannote[274].start 2678.26221875
transcript.pyannote[274].end 2679.46034375
transcript.pyannote[275].speaker SPEAKER_22
transcript.pyannote[275].start 2679.47721875
transcript.pyannote[275].end 2689.39971875
transcript.pyannote[276].speaker SPEAKER_22
transcript.pyannote[276].start 2689.90596875
transcript.pyannote[276].end 2694.34409375
transcript.pyannote[277].speaker SPEAKER_22
transcript.pyannote[277].start 2695.35659375
transcript.pyannote[277].end 2696.28471875
transcript.pyannote[278].speaker SPEAKER_22
transcript.pyannote[278].start 2696.80784375
transcript.pyannote[278].end 2699.60909375
transcript.pyannote[279].speaker SPEAKER_22
transcript.pyannote[279].start 2699.91284375
transcript.pyannote[279].end 2703.72659375
transcript.pyannote[280].speaker SPEAKER_22
transcript.pyannote[280].start 2704.23284375
transcript.pyannote[280].end 2712.34971875
transcript.pyannote[281].speaker SPEAKER_22
transcript.pyannote[281].start 2713.15971875
transcript.pyannote[281].end 2716.12971875
transcript.pyannote[282].speaker SPEAKER_22
transcript.pyannote[282].start 2716.21409375
transcript.pyannote[282].end 2718.55971875
transcript.pyannote[283].speaker SPEAKER_22
transcript.pyannote[283].start 2718.94784375
transcript.pyannote[283].end 2724.76971875
transcript.pyannote[284].speaker SPEAKER_22
transcript.pyannote[284].start 2725.32659375
transcript.pyannote[284].end 2728.88721875
transcript.pyannote[285].speaker SPEAKER_22
transcript.pyannote[285].start 2729.37659375
transcript.pyannote[285].end 2730.76034375
transcript.pyannote[286].speaker SPEAKER_22
transcript.pyannote[286].start 2731.19909375
transcript.pyannote[286].end 2733.20721875
transcript.pyannote[287].speaker SPEAKER_22
transcript.pyannote[287].start 2733.76409375
transcript.pyannote[287].end 2737.86471875
transcript.pyannote[288].speaker SPEAKER_22
transcript.pyannote[288].start 2738.05034375
transcript.pyannote[288].end 2741.88096875
transcript.pyannote[289].speaker SPEAKER_22
transcript.pyannote[289].start 2742.69096875
transcript.pyannote[289].end 2744.68221875
transcript.pyannote[290].speaker SPEAKER_22
transcript.pyannote[290].start 2745.03659375
transcript.pyannote[290].end 2747.43284375
transcript.pyannote[291].speaker SPEAKER_22
transcript.pyannote[291].start 2748.85034375
transcript.pyannote[291].end 2752.07346875
transcript.pyannote[292].speaker SPEAKER_22
transcript.pyannote[292].start 2753.22096875
transcript.pyannote[292].end 2763.09284375
transcript.pyannote[293].speaker SPEAKER_22
transcript.pyannote[293].start 2763.90284375
transcript.pyannote[293].end 2766.82221875
transcript.pyannote[294].speaker SPEAKER_22
transcript.pyannote[294].start 2767.27784375
transcript.pyannote[294].end 2770.36596875
transcript.pyannote[295].speaker SPEAKER_22
transcript.pyannote[295].start 2770.82159375
transcript.pyannote[295].end 2771.85096875
transcript.pyannote[296].speaker SPEAKER_22
transcript.pyannote[296].start 2772.42471875
transcript.pyannote[296].end 2773.60596875
transcript.pyannote[297].speaker SPEAKER_22
transcript.pyannote[297].start 2774.56784375
transcript.pyannote[297].end 2776.18784375
transcript.pyannote[298].speaker SPEAKER_22
transcript.pyannote[298].start 2776.69409375
transcript.pyannote[298].end 2779.52909375
transcript.pyannote[299].speaker SPEAKER_22
transcript.pyannote[299].start 2779.96784375
transcript.pyannote[299].end 2784.16971875
transcript.pyannote[300].speaker SPEAKER_22
transcript.pyannote[300].start 2785.28346875
transcript.pyannote[300].end 2787.74721875
transcript.pyannote[301].speaker SPEAKER_22
transcript.pyannote[301].start 2788.99596875
transcript.pyannote[301].end 2790.36284375
transcript.pyannote[302].speaker SPEAKER_22
transcript.pyannote[302].start 2791.52721875
transcript.pyannote[302].end 2793.53534375
transcript.pyannote[303].speaker SPEAKER_22
transcript.pyannote[303].start 2793.75471875
transcript.pyannote[303].end 2794.71659375
transcript.pyannote[304].speaker SPEAKER_22
transcript.pyannote[304].start 2795.77971875
transcript.pyannote[304].end 2796.58971875
transcript.pyannote[305].speaker SPEAKER_22
transcript.pyannote[305].start 2797.36596875
transcript.pyannote[305].end 2799.12096875
transcript.pyannote[306].speaker SPEAKER_22
transcript.pyannote[306].start 2799.94784375
transcript.pyannote[306].end 2801.95596875
transcript.pyannote[307].speaker SPEAKER_22
transcript.pyannote[307].start 2802.49596875
transcript.pyannote[307].end 2803.87971875
transcript.pyannote[308].speaker SPEAKER_22
transcript.pyannote[308].start 2804.23409375
transcript.pyannote[308].end 2811.20346875
transcript.pyannote[309].speaker SPEAKER_22
transcript.pyannote[309].start 2811.69284375
transcript.pyannote[309].end 2813.73471875
transcript.pyannote[310].speaker SPEAKER_22
transcript.pyannote[310].start 2814.02159375
transcript.pyannote[310].end 2814.61221875
transcript.pyannote[311].speaker SPEAKER_22
transcript.pyannote[311].start 2815.08471875
transcript.pyannote[311].end 2815.99596875
transcript.pyannote[312].speaker SPEAKER_22
transcript.pyannote[312].start 2816.77221875
transcript.pyannote[312].end 2817.32909375
transcript.pyannote[313].speaker SPEAKER_22
transcript.pyannote[313].start 2818.12221875
transcript.pyannote[313].end 2819.65784375
transcript.pyannote[314].speaker SPEAKER_22
transcript.pyannote[314].start 2819.99534375
transcript.pyannote[314].end 2821.51409375
transcript.pyannote[315].speaker SPEAKER_22
transcript.pyannote[315].start 2822.25659375
transcript.pyannote[315].end 2825.64846875
transcript.pyannote[316].speaker SPEAKER_22
transcript.pyannote[316].start 2825.91846875
transcript.pyannote[316].end 2833.15784375
transcript.pyannote[317].speaker SPEAKER_22
transcript.pyannote[317].start 2835.16596875
transcript.pyannote[317].end 2836.75221875
transcript.pyannote[318].speaker SPEAKER_22
transcript.pyannote[318].start 2836.97159375
transcript.pyannote[318].end 2847.40034375
transcript.pyannote[319].speaker SPEAKER_22
transcript.pyannote[319].start 2847.83909375
transcript.pyannote[319].end 2860.64721875
transcript.pyannote[320].speaker SPEAKER_22
transcript.pyannote[320].start 2861.81159375
transcript.pyannote[320].end 2868.05534375
transcript.pyannote[321].speaker SPEAKER_22
transcript.pyannote[321].start 2868.54471875
transcript.pyannote[321].end 2873.92784375
transcript.pyannote[322].speaker SPEAKER_22
transcript.pyannote[322].start 2874.16409375
transcript.pyannote[322].end 2878.19721875
transcript.pyannote[323].speaker SPEAKER_22
transcript.pyannote[323].start 2879.09159375
transcript.pyannote[323].end 2880.22221875
transcript.pyannote[324].speaker SPEAKER_22
transcript.pyannote[324].start 2880.47534375
transcript.pyannote[324].end 2896.81034375
transcript.pyannote[325].speaker SPEAKER_22
transcript.pyannote[325].start 2897.95784375
transcript.pyannote[325].end 2900.91096875
transcript.pyannote[326].speaker SPEAKER_22
transcript.pyannote[326].start 2900.97846875
transcript.pyannote[326].end 2903.81346875
transcript.pyannote[327].speaker SPEAKER_22
transcript.pyannote[327].start 2904.40409375
transcript.pyannote[327].end 2908.75784375
transcript.pyannote[328].speaker SPEAKER_22
transcript.pyannote[328].start 2909.09534375
transcript.pyannote[328].end 2909.68596875
transcript.pyannote[329].speaker SPEAKER_22
transcript.pyannote[329].start 2909.97284375
transcript.pyannote[329].end 2911.37346875
transcript.pyannote[330].speaker SPEAKER_22
transcript.pyannote[330].start 2911.77846875
transcript.pyannote[330].end 2914.36034375
transcript.pyannote[331].speaker SPEAKER_22
transcript.pyannote[331].start 2914.73159375
transcript.pyannote[331].end 2916.72284375
transcript.pyannote[332].speaker SPEAKER_22
transcript.pyannote[332].start 2917.14471875
transcript.pyannote[332].end 2921.11034375
transcript.pyannote[333].speaker SPEAKER_22
transcript.pyannote[333].start 2921.53221875
transcript.pyannote[333].end 2922.86534375
transcript.pyannote[334].speaker SPEAKER_22
transcript.pyannote[334].start 2923.48971875
transcript.pyannote[334].end 2926.74659375
transcript.pyannote[335].speaker SPEAKER_22
transcript.pyannote[335].start 2927.05034375
transcript.pyannote[335].end 2930.99909375
transcript.pyannote[336].speaker SPEAKER_22
transcript.pyannote[336].start 2931.94409375
transcript.pyannote[336].end 2933.80034375
transcript.pyannote[337].speaker SPEAKER_22
transcript.pyannote[337].start 2934.74534375
transcript.pyannote[337].end 2936.46659375
transcript.pyannote[338].speaker SPEAKER_22
transcript.pyannote[338].start 2936.75346875
transcript.pyannote[338].end 2939.36909375
transcript.pyannote[339].speaker SPEAKER_22
transcript.pyannote[339].start 2939.60534375
transcript.pyannote[339].end 2947.82346875
transcript.pyannote[340].speaker SPEAKER_22
transcript.pyannote[340].start 2948.09346875
transcript.pyannote[340].end 2950.99596875
transcript.pyannote[341].speaker SPEAKER_22
transcript.pyannote[341].start 2951.89034375
transcript.pyannote[341].end 2953.78034375
transcript.pyannote[342].speaker SPEAKER_22
transcript.pyannote[342].start 2954.15159375
transcript.pyannote[342].end 2955.83909375
transcript.pyannote[343].speaker SPEAKER_22
transcript.pyannote[343].start 2955.87284375
transcript.pyannote[343].end 2961.10409375
transcript.pyannote[344].speaker SPEAKER_22
transcript.pyannote[344].start 2961.47534375
transcript.pyannote[344].end 2964.02346875
transcript.pyannote[345].speaker SPEAKER_22
transcript.pyannote[345].start 2964.25971875
transcript.pyannote[345].end 2967.39846875
transcript.pyannote[346].speaker SPEAKER_22
transcript.pyannote[346].start 2967.76971875
transcript.pyannote[346].end 2968.91721875
transcript.pyannote[347].speaker SPEAKER_22
transcript.pyannote[347].start 2970.48659375
transcript.pyannote[347].end 2972.20784375
transcript.pyannote[348].speaker SPEAKER_22
transcript.pyannote[348].start 2972.74784375
transcript.pyannote[348].end 2974.89096875
transcript.pyannote[349].speaker SPEAKER_22
transcript.pyannote[349].start 2975.63346875
transcript.pyannote[349].end 2980.00409375
transcript.pyannote[350].speaker SPEAKER_22
transcript.pyannote[350].start 2980.45971875
transcript.pyannote[350].end 2983.54784375
transcript.pyannote[351].speaker SPEAKER_22
transcript.pyannote[351].start 2984.37471875
transcript.pyannote[351].end 2987.76659375
transcript.pyannote[352].speaker SPEAKER_22
transcript.pyannote[352].start 2988.07034375
transcript.pyannote[352].end 2993.60534375
transcript.pyannote[353].speaker SPEAKER_22
transcript.pyannote[353].start 2993.75721875
transcript.pyannote[353].end 3000.35534375
transcript.pyannote[354].speaker SPEAKER_22
transcript.pyannote[354].start 3000.92909375
transcript.pyannote[354].end 3002.16096875
transcript.pyannote[355].speaker SPEAKER_22
transcript.pyannote[355].start 3002.48159375
transcript.pyannote[355].end 3008.01659375
transcript.pyannote[356].speaker SPEAKER_22
transcript.pyannote[356].start 3009.63659375
transcript.pyannote[356].end 3011.15534375
transcript.pyannote[357].speaker SPEAKER_22
transcript.pyannote[357].start 3011.81346875
transcript.pyannote[357].end 3014.22659375
transcript.pyannote[358].speaker SPEAKER_22
transcript.pyannote[358].start 3014.69909375
transcript.pyannote[358].end 3016.26846875
transcript.pyannote[359].speaker SPEAKER_22
transcript.pyannote[359].start 3017.36534375
transcript.pyannote[359].end 3019.06971875
transcript.pyannote[360].speaker SPEAKER_22
transcript.pyannote[360].start 3019.57596875
transcript.pyannote[360].end 3020.28471875
transcript.pyannote[361].speaker SPEAKER_22
transcript.pyannote[361].start 3020.67284375
transcript.pyannote[361].end 3022.86659375
transcript.pyannote[362].speaker SPEAKER_22
transcript.pyannote[362].start 3023.06909375
transcript.pyannote[362].end 3027.30471875
transcript.pyannote[363].speaker SPEAKER_22
transcript.pyannote[363].start 3028.01346875
transcript.pyannote[363].end 3033.88596875
transcript.pyannote[364].speaker SPEAKER_22
transcript.pyannote[364].start 3034.29096875
transcript.pyannote[364].end 3037.09221875
transcript.pyannote[365].speaker SPEAKER_22
transcript.pyannote[365].start 3037.42971875
transcript.pyannote[365].end 3038.32409375
transcript.pyannote[366].speaker SPEAKER_22
transcript.pyannote[366].start 3038.93159375
transcript.pyannote[366].end 3040.60221875
transcript.pyannote[367].speaker SPEAKER_22
transcript.pyannote[367].start 3041.07471875
transcript.pyannote[367].end 3044.60159375
transcript.pyannote[368].speaker SPEAKER_22
transcript.pyannote[368].start 3045.05721875
transcript.pyannote[368].end 3046.52534375
transcript.pyannote[369].speaker SPEAKER_22
transcript.pyannote[369].start 3046.96409375
transcript.pyannote[369].end 3047.80784375
transcript.pyannote[370].speaker SPEAKER_22
transcript.pyannote[370].start 3049.34346875
transcript.pyannote[370].end 3051.92534375
transcript.pyannote[371].speaker SPEAKER_22
transcript.pyannote[371].start 3052.06034375
transcript.pyannote[371].end 3058.91159375
transcript.pyannote[372].speaker SPEAKER_22
transcript.pyannote[372].start 3059.09721875
transcript.pyannote[372].end 3068.22659375
transcript.pyannote[373].speaker SPEAKER_22
transcript.pyannote[373].start 3069.01971875
transcript.pyannote[373].end 3071.14596875
transcript.pyannote[374].speaker SPEAKER_22
transcript.pyannote[374].start 3071.95596875
transcript.pyannote[374].end 3077.81159375
transcript.pyannote[375].speaker SPEAKER_22
transcript.pyannote[375].start 3078.35159375
transcript.pyannote[375].end 3078.92534375
transcript.pyannote[376].speaker SPEAKER_22
transcript.pyannote[376].start 3079.27971875
transcript.pyannote[376].end 3081.03471875
transcript.pyannote[377].speaker SPEAKER_22
transcript.pyannote[377].start 3081.64221875
transcript.pyannote[377].end 3082.65471875
transcript.pyannote[378].speaker SPEAKER_22
transcript.pyannote[378].start 3083.16096875
transcript.pyannote[378].end 3084.20721875
transcript.pyannote[379].speaker SPEAKER_22
transcript.pyannote[379].start 3084.59534375
transcript.pyannote[379].end 3086.97471875
transcript.pyannote[380].speaker SPEAKER_22
transcript.pyannote[380].start 3087.66659375
transcript.pyannote[380].end 3089.25284375
transcript.pyannote[381].speaker SPEAKER_22
transcript.pyannote[381].start 3089.64096875
transcript.pyannote[381].end 3092.54346875
transcript.pyannote[382].speaker SPEAKER_22
transcript.pyannote[382].start 3094.26471875
transcript.pyannote[382].end 3095.22659375
transcript.pyannote[383].speaker SPEAKER_22
transcript.pyannote[383].start 3095.98596875
transcript.pyannote[383].end 3096.86346875
transcript.pyannote[384].speaker SPEAKER_22
transcript.pyannote[384].start 3096.98159375
transcript.pyannote[384].end 3097.72409375
transcript.pyannote[385].speaker SPEAKER_22
transcript.pyannote[385].start 3097.97721875
transcript.pyannote[385].end 3098.65221875
transcript.pyannote[386].speaker SPEAKER_22
transcript.pyannote[386].start 3098.85471875
transcript.pyannote[386].end 3101.03159375
transcript.pyannote[387].speaker SPEAKER_22
transcript.pyannote[387].start 3101.63909375
transcript.pyannote[387].end 3104.47409375
transcript.pyannote[388].speaker SPEAKER_22
transcript.pyannote[388].start 3104.81159375
transcript.pyannote[388].end 3109.04721875
transcript.pyannote[389].speaker SPEAKER_22
transcript.pyannote[389].start 3109.48596875
transcript.pyannote[389].end 3110.26221875
transcript.pyannote[390].speaker SPEAKER_22
transcript.pyannote[390].start 3110.53221875
transcript.pyannote[390].end 3116.42159375
transcript.pyannote[391].speaker SPEAKER_22
transcript.pyannote[391].start 3116.69159375
transcript.pyannote[391].end 3118.66596875
transcript.pyannote[392].speaker SPEAKER_22
transcript.pyannote[392].start 3119.45909375
transcript.pyannote[392].end 3125.78721875
transcript.pyannote[393].speaker SPEAKER_22
transcript.pyannote[393].start 3126.00659375
transcript.pyannote[393].end 3132.62159375
transcript.pyannote[394].speaker SPEAKER_22
transcript.pyannote[394].start 3133.24596875
transcript.pyannote[394].end 3135.72659375
transcript.pyannote[395].speaker SPEAKER_22
transcript.pyannote[395].start 3135.86159375
transcript.pyannote[395].end 3138.49409375
transcript.pyannote[396].speaker SPEAKER_22
transcript.pyannote[396].start 3139.57409375
transcript.pyannote[396].end 3141.09284375
transcript.pyannote[397].speaker SPEAKER_22
transcript.pyannote[397].start 3141.59909375
transcript.pyannote[397].end 3143.23596875
transcript.pyannote[398].speaker SPEAKER_22
transcript.pyannote[398].start 3143.55659375
transcript.pyannote[398].end 3145.64909375
transcript.pyannote[399].speaker SPEAKER_22
transcript.pyannote[399].start 3146.13846875
transcript.pyannote[399].end 3149.69909375
transcript.pyannote[400].speaker SPEAKER_22
transcript.pyannote[400].start 3150.42471875
transcript.pyannote[400].end 3152.17971875
transcript.pyannote[401].speaker SPEAKER_22
transcript.pyannote[401].start 3152.70284375
transcript.pyannote[401].end 3155.23409375
transcript.pyannote[402].speaker SPEAKER_22
transcript.pyannote[402].start 3155.95971875
transcript.pyannote[402].end 3158.05221875
transcript.pyannote[403].speaker SPEAKER_22
transcript.pyannote[403].start 3158.49096875
transcript.pyannote[403].end 3159.94221875
transcript.pyannote[404].speaker SPEAKER_22
transcript.pyannote[404].start 3159.95909375
transcript.pyannote[404].end 3160.02659375
transcript.pyannote[405].speaker SPEAKER_22
transcript.pyannote[405].start 3160.07721875
transcript.pyannote[405].end 3164.17784375
transcript.pyannote[406].speaker SPEAKER_22
transcript.pyannote[406].start 3165.03846875
transcript.pyannote[406].end 3167.50221875
transcript.pyannote[407].speaker SPEAKER_22
transcript.pyannote[407].start 3167.95784375
transcript.pyannote[407].end 3170.43846875
transcript.pyannote[408].speaker SPEAKER_22
transcript.pyannote[408].start 3172.02471875
transcript.pyannote[408].end 3174.20159375
transcript.pyannote[409].speaker SPEAKER_22
transcript.pyannote[409].start 3174.47159375
transcript.pyannote[409].end 3175.39971875
transcript.pyannote[410].speaker SPEAKER_22
transcript.pyannote[410].start 3176.27721875
transcript.pyannote[410].end 3178.52159375
transcript.pyannote[411].speaker SPEAKER_22
transcript.pyannote[411].start 3179.09534375
transcript.pyannote[411].end 3182.26784375
transcript.pyannote[412].speaker SPEAKER_22
transcript.pyannote[412].start 3182.72346875
transcript.pyannote[412].end 3189.11909375
transcript.pyannote[413].speaker SPEAKER_22
transcript.pyannote[413].start 3189.52409375
transcript.pyannote[413].end 3190.28346875
transcript.pyannote[414].speaker SPEAKER_22
transcript.pyannote[414].start 3190.77284375
transcript.pyannote[414].end 3193.97909375
transcript.pyannote[415].speaker SPEAKER_22
transcript.pyannote[415].start 3194.85659375
transcript.pyannote[415].end 3195.86909375
transcript.pyannote[416].speaker SPEAKER_22
transcript.pyannote[416].start 3196.34159375
transcript.pyannote[416].end 3197.60721875
transcript.pyannote[417].speaker SPEAKER_22
transcript.pyannote[417].start 3197.89409375
transcript.pyannote[417].end 3200.02034375
transcript.pyannote[418].speaker SPEAKER_22
transcript.pyannote[418].start 3200.86409375
transcript.pyannote[418].end 3203.42909375
transcript.pyannote[419].speaker SPEAKER_22
transcript.pyannote[419].start 3204.01971875
transcript.pyannote[419].end 3206.38221875
transcript.pyannote[420].speaker SPEAKER_22
transcript.pyannote[420].start 3207.15846875
transcript.pyannote[420].end 3208.96409375
transcript.pyannote[421].speaker SPEAKER_22
transcript.pyannote[421].start 3209.28471875
transcript.pyannote[421].end 3210.06096875
transcript.pyannote[422].speaker SPEAKER_22
transcript.pyannote[422].start 3210.75284375
transcript.pyannote[422].end 3212.08596875
transcript.pyannote[423].speaker SPEAKER_22
transcript.pyannote[423].start 3212.49096875
transcript.pyannote[423].end 3214.06034375
transcript.pyannote[424].speaker SPEAKER_22
transcript.pyannote[424].start 3214.87034375
transcript.pyannote[424].end 3217.77284375
transcript.pyannote[425].speaker SPEAKER_22
transcript.pyannote[425].start 3217.90784375
transcript.pyannote[425].end 3224.79284375
transcript.pyannote[426].speaker SPEAKER_22
transcript.pyannote[426].start 3225.19784375
transcript.pyannote[426].end 3226.58159375
transcript.pyannote[427].speaker SPEAKER_22
transcript.pyannote[427].start 3226.66596875
transcript.pyannote[427].end 3228.11721875
transcript.pyannote[428].speaker SPEAKER_22
transcript.pyannote[428].start 3228.67409375
transcript.pyannote[428].end 3229.18034375
transcript.pyannote[429].speaker SPEAKER_22
transcript.pyannote[429].start 3230.02409375
transcript.pyannote[429].end 3234.47909375
transcript.pyannote[430].speaker SPEAKER_22
transcript.pyannote[430].start 3234.74909375
transcript.pyannote[430].end 3237.24659375
transcript.pyannote[431].speaker SPEAKER_22
transcript.pyannote[431].start 3238.20846875
transcript.pyannote[431].end 3239.17034375
transcript.pyannote[432].speaker SPEAKER_22
transcript.pyannote[432].start 3240.03096875
transcript.pyannote[432].end 3246.03846875
transcript.pyannote[433].speaker SPEAKER_22
transcript.pyannote[433].start 3246.40971875
transcript.pyannote[433].end 3248.56971875
transcript.pyannote[434].speaker SPEAKER_22
transcript.pyannote[434].start 3249.09284375
transcript.pyannote[434].end 3251.13471875
transcript.pyannote[435].speaker SPEAKER_22
transcript.pyannote[435].start 3251.57346875
transcript.pyannote[435].end 3256.53471875
transcript.pyannote[436].speaker SPEAKER_22
transcript.pyannote[436].start 3257.20971875
transcript.pyannote[436].end 3259.16721875
transcript.pyannote[437].speaker SPEAKER_22
transcript.pyannote[437].start 3259.74096875
transcript.pyannote[437].end 3261.49596875
transcript.pyannote[438].speaker SPEAKER_22
transcript.pyannote[438].start 3262.15409375
transcript.pyannote[438].end 3264.55034375
transcript.pyannote[439].speaker SPEAKER_22
transcript.pyannote[439].start 3265.02284375
transcript.pyannote[439].end 3265.59659375
transcript.pyannote[440].speaker SPEAKER_22
transcript.pyannote[440].start 3265.86659375
transcript.pyannote[440].end 3266.60909375
transcript.pyannote[441].speaker SPEAKER_22
transcript.pyannote[441].start 3268.26284375
transcript.pyannote[441].end 3270.70971875
transcript.pyannote[442].speaker SPEAKER_22
transcript.pyannote[442].start 3271.35096875
transcript.pyannote[442].end 3273.25784375
transcript.pyannote[443].speaker SPEAKER_22
transcript.pyannote[443].start 3273.89909375
transcript.pyannote[443].end 3275.80596875
transcript.pyannote[444].speaker SPEAKER_22
transcript.pyannote[444].start 3275.97471875
transcript.pyannote[444].end 3280.04159375
transcript.pyannote[445].speaker SPEAKER_22
transcript.pyannote[445].start 3280.91909375
transcript.pyannote[445].end 3296.61284375
transcript.pyannote[446].speaker SPEAKER_22
transcript.pyannote[446].start 3297.70971875
transcript.pyannote[446].end 3300.57846875
transcript.pyannote[447].speaker SPEAKER_22
transcript.pyannote[447].start 3301.16909375
transcript.pyannote[447].end 3303.10971875
transcript.pyannote[448].speaker SPEAKER_22
transcript.pyannote[448].start 3303.76784375
transcript.pyannote[448].end 3305.45534375
transcript.pyannote[449].speaker SPEAKER_22
transcript.pyannote[449].start 3306.06284375
transcript.pyannote[449].end 3308.23971875
transcript.pyannote[450].speaker SPEAKER_22
transcript.pyannote[450].start 3308.62784375
transcript.pyannote[450].end 3312.05346875
transcript.pyannote[451].speaker SPEAKER_22
transcript.pyannote[451].start 3312.25596875
transcript.pyannote[451].end 3312.94784375
transcript.pyannote[452].speaker SPEAKER_22
transcript.pyannote[452].start 3313.42034375
transcript.pyannote[452].end 3314.29784375
transcript.pyannote[453].speaker SPEAKER_22
transcript.pyannote[453].start 3314.53409375
transcript.pyannote[453].end 3315.85034375
transcript.pyannote[454].speaker SPEAKER_22
transcript.pyannote[454].start 3316.27221875
transcript.pyannote[454].end 3317.84159375
transcript.pyannote[455].speaker SPEAKER_22
transcript.pyannote[455].start 3318.33096875
transcript.pyannote[455].end 3319.37721875
transcript.pyannote[456].speaker SPEAKER_22
transcript.pyannote[456].start 3320.06909375
transcript.pyannote[456].end 3321.89159375
transcript.pyannote[457].speaker SPEAKER_22
transcript.pyannote[457].start 3322.88721875
transcript.pyannote[457].end 3325.67159375
transcript.pyannote[458].speaker SPEAKER_22
transcript.pyannote[458].start 3326.41409375
transcript.pyannote[458].end 3328.05096875
transcript.pyannote[459].speaker SPEAKER_22
transcript.pyannote[459].start 3328.43909375
transcript.pyannote[459].end 3331.66221875
transcript.pyannote[460].speaker SPEAKER_22
transcript.pyannote[460].start 3332.13471875
transcript.pyannote[460].end 3335.93159375
transcript.pyannote[461].speaker SPEAKER_22
transcript.pyannote[461].start 3336.72471875
transcript.pyannote[461].end 3343.01909375
transcript.pyannote[462].speaker SPEAKER_22
transcript.pyannote[462].start 3346.02284375
transcript.pyannote[462].end 3346.61346875
transcript.pyannote[463].speaker SPEAKER_22
transcript.pyannote[463].start 3348.19971875
transcript.pyannote[463].end 3348.41909375
transcript.pyannote[464].speaker SPEAKER_17
transcript.pyannote[464].start 3348.41909375
transcript.pyannote[464].end 3350.14034375
transcript.pyannote[465].speaker SPEAKER_22
transcript.pyannote[465].start 3350.27534375
transcript.pyannote[465].end 3350.54534375
transcript.pyannote[466].speaker SPEAKER_22
transcript.pyannote[466].start 3351.69284375
transcript.pyannote[466].end 3352.38471875
transcript.pyannote[467].speaker SPEAKER_22
transcript.pyannote[467].start 3353.05971875
transcript.pyannote[467].end 3353.88659375
transcript.pyannote[468].speaker SPEAKER_22
transcript.pyannote[468].start 3354.46034375
transcript.pyannote[468].end 3355.05096875
transcript.pyannote[469].speaker SPEAKER_22
transcript.pyannote[469].start 3355.74284375
transcript.pyannote[469].end 3359.99534375
transcript.pyannote[470].speaker SPEAKER_22
transcript.pyannote[470].start 3360.67034375
transcript.pyannote[470].end 3362.76284375
transcript.pyannote[471].speaker SPEAKER_22
transcript.pyannote[471].start 3363.50534375
transcript.pyannote[471].end 3364.56846875
transcript.pyannote[472].speaker SPEAKER_22
transcript.pyannote[472].start 3365.07471875
transcript.pyannote[472].end 3369.74909375
transcript.pyannote[473].speaker SPEAKER_22
transcript.pyannote[473].start 3370.32284375
transcript.pyannote[473].end 3371.21721875
transcript.pyannote[474].speaker SPEAKER_22
transcript.pyannote[474].start 3371.92596875
transcript.pyannote[474].end 3376.63409375
transcript.pyannote[475].speaker SPEAKER_22
transcript.pyannote[475].start 3377.03909375
transcript.pyannote[475].end 3378.32159375
transcript.pyannote[476].speaker SPEAKER_22
transcript.pyannote[476].start 3378.91221875
transcript.pyannote[476].end 3381.66284375
transcript.pyannote[477].speaker SPEAKER_22
transcript.pyannote[477].start 3381.93284375
transcript.pyannote[477].end 3383.36721875
transcript.pyannote[478].speaker SPEAKER_22
transcript.pyannote[478].start 3383.78909375
transcript.pyannote[478].end 3384.59909375
transcript.pyannote[479].speaker SPEAKER_22
transcript.pyannote[479].start 3385.29096875
transcript.pyannote[479].end 3387.01221875
transcript.pyannote[480].speaker SPEAKER_22
transcript.pyannote[480].start 3387.45096875
transcript.pyannote[480].end 3388.78409375
transcript.pyannote[481].speaker SPEAKER_22
transcript.pyannote[481].start 3389.64471875
transcript.pyannote[481].end 3391.77096875
transcript.pyannote[482].speaker SPEAKER_22
transcript.pyannote[482].start 3391.97346875
transcript.pyannote[482].end 3395.66909375
transcript.pyannote[483].speaker SPEAKER_22
transcript.pyannote[483].start 3396.07409375
transcript.pyannote[483].end 3401.38971875
transcript.pyannote[484].speaker SPEAKER_22
transcript.pyannote[484].start 3401.54159375
transcript.pyannote[484].end 3402.52034375
transcript.pyannote[485].speaker SPEAKER_22
transcript.pyannote[485].start 3403.54971875
transcript.pyannote[485].end 3406.43534375
transcript.pyannote[486].speaker SPEAKER_22
transcript.pyannote[486].start 3406.97534375
transcript.pyannote[486].end 3409.11846875
transcript.pyannote[487].speaker SPEAKER_22
transcript.pyannote[487].start 3410.18159375
transcript.pyannote[487].end 3412.39221875
transcript.pyannote[488].speaker SPEAKER_22
transcript.pyannote[488].start 3413.11784375
transcript.pyannote[488].end 3415.66596875
transcript.pyannote[489].speaker SPEAKER_22
transcript.pyannote[489].start 3416.69534375
transcript.pyannote[489].end 3419.44596875
transcript.pyannote[490].speaker SPEAKER_22
transcript.pyannote[490].start 3420.42471875
transcript.pyannote[490].end 3423.47909375
transcript.pyannote[491].speaker SPEAKER_22
transcript.pyannote[491].start 3423.85034375
transcript.pyannote[491].end 3431.83221875
transcript.pyannote[492].speaker SPEAKER_22
transcript.pyannote[492].start 3432.33846875
transcript.pyannote[492].end 3436.01721875
transcript.pyannote[493].speaker SPEAKER_22
transcript.pyannote[493].start 3436.42221875
transcript.pyannote[493].end 3440.87721875
transcript.pyannote[494].speaker SPEAKER_22
transcript.pyannote[494].start 3441.45096875
transcript.pyannote[494].end 3443.96534375
transcript.pyannote[495].speaker SPEAKER_22
transcript.pyannote[495].start 3445.09596875
transcript.pyannote[495].end 3445.99034375
transcript.pyannote[496].speaker SPEAKER_22
transcript.pyannote[496].start 3446.46284375
transcript.pyannote[496].end 3448.82534375
transcript.pyannote[497].speaker SPEAKER_22
transcript.pyannote[497].start 3449.33159375
transcript.pyannote[497].end 3452.20034375
transcript.pyannote[498].speaker SPEAKER_22
transcript.pyannote[498].start 3452.90909375
transcript.pyannote[498].end 3453.43221875
transcript.pyannote[499].speaker SPEAKER_22
transcript.pyannote[499].start 3453.63471875
transcript.pyannote[499].end 3464.09721875
transcript.pyannote[500].speaker SPEAKER_22
transcript.pyannote[500].start 3465.12659375
transcript.pyannote[500].end 3466.12221875
transcript.pyannote[501].speaker SPEAKER_22
transcript.pyannote[501].start 3466.81409375
transcript.pyannote[501].end 3467.74221875
transcript.pyannote[502].speaker SPEAKER_22
transcript.pyannote[502].start 3468.14721875
transcript.pyannote[502].end 3484.90409375
transcript.pyannote[503].speaker SPEAKER_22
transcript.pyannote[503].start 3485.68034375
transcript.pyannote[503].end 3494.79284375
transcript.pyannote[504].speaker SPEAKER_22
transcript.pyannote[504].start 3495.24846875
transcript.pyannote[504].end 3495.85596875
transcript.pyannote[505].speaker SPEAKER_22
transcript.pyannote[505].start 3497.34096875
transcript.pyannote[505].end 3501.49221875
transcript.pyannote[506].speaker SPEAKER_22
transcript.pyannote[506].start 3501.93096875
transcript.pyannote[506].end 3503.44971875
transcript.pyannote[507].speaker SPEAKER_22
transcript.pyannote[507].start 3504.15846875
transcript.pyannote[507].end 3506.40284375
transcript.pyannote[508].speaker SPEAKER_22
transcript.pyannote[508].start 3507.66846875
transcript.pyannote[508].end 3509.76096875
transcript.pyannote[509].speaker SPEAKER_22
transcript.pyannote[509].start 3511.58346875
transcript.pyannote[509].end 3512.84909375
transcript.pyannote[510].speaker SPEAKER_22
transcript.pyannote[510].start 3513.25409375
transcript.pyannote[510].end 3514.03034375
transcript.pyannote[511].speaker SPEAKER_22
transcript.pyannote[511].start 3514.14846875
transcript.pyannote[511].end 3516.44346875
transcript.pyannote[512].speaker SPEAKER_22
transcript.pyannote[512].start 3518.41784375
transcript.pyannote[512].end 3522.58596875
transcript.pyannote[513].speaker SPEAKER_22
transcript.pyannote[513].start 3523.37909375
transcript.pyannote[513].end 3524.69534375
transcript.pyannote[514].speaker SPEAKER_22
transcript.pyannote[514].start 3524.96534375
transcript.pyannote[514].end 3525.77534375
transcript.pyannote[515].speaker SPEAKER_22
transcript.pyannote[515].start 3525.89346875
transcript.pyannote[515].end 3526.50096875
transcript.pyannote[516].speaker SPEAKER_22
transcript.pyannote[516].start 3527.32784375
transcript.pyannote[516].end 3529.21784375
transcript.pyannote[517].speaker SPEAKER_22
transcript.pyannote[517].start 3529.45409375
transcript.pyannote[517].end 3531.68159375
transcript.pyannote[518].speaker SPEAKER_22
transcript.pyannote[518].start 3532.13721875
transcript.pyannote[518].end 3535.12409375
transcript.pyannote[519].speaker SPEAKER_22
transcript.pyannote[519].start 3535.25909375
transcript.pyannote[519].end 3537.55409375
transcript.pyannote[520].speaker SPEAKER_22
transcript.pyannote[520].start 3538.58346875
transcript.pyannote[520].end 3544.00034375
transcript.pyannote[521].speaker SPEAKER_22
transcript.pyannote[521].start 3544.21971875
transcript.pyannote[521].end 3545.50221875
transcript.pyannote[522].speaker SPEAKER_22
transcript.pyannote[522].start 3545.60346875
transcript.pyannote[522].end 3547.17284375
transcript.pyannote[523].speaker SPEAKER_22
transcript.pyannote[523].start 3547.57784375
transcript.pyannote[523].end 3551.08784375
transcript.pyannote[524].speaker SPEAKER_22
transcript.pyannote[524].start 3551.62784375
transcript.pyannote[524].end 3554.02409375
transcript.pyannote[525].speaker SPEAKER_22
transcript.pyannote[525].start 3555.10409375
transcript.pyannote[525].end 3555.71159375
transcript.pyannote[526].speaker SPEAKER_22
transcript.pyannote[526].start 3555.91409375
transcript.pyannote[526].end 3559.66034375
transcript.pyannote[527].speaker SPEAKER_22
transcript.pyannote[527].start 3561.46596875
transcript.pyannote[527].end 3564.26721875
transcript.pyannote[528].speaker SPEAKER_22
transcript.pyannote[528].start 3564.33471875
transcript.pyannote[528].end 3564.36846875
transcript.pyannote[529].speaker SPEAKER_42
transcript.pyannote[529].start 3564.36846875
transcript.pyannote[529].end 3564.67221875
transcript.pyannote[530].speaker SPEAKER_22
transcript.pyannote[530].start 3564.67221875
transcript.pyannote[530].end 3565.83659375
transcript.pyannote[531].speaker SPEAKER_22
transcript.pyannote[531].start 3566.39346875
transcript.pyannote[531].end 3567.15284375
transcript.pyannote[532].speaker SPEAKER_22
transcript.pyannote[532].start 3567.28784375
transcript.pyannote[532].end 3571.03409375
transcript.pyannote[533].speaker SPEAKER_22
transcript.pyannote[533].start 3571.65846875
transcript.pyannote[533].end 3572.80596875
transcript.pyannote[534].speaker SPEAKER_22
transcript.pyannote[534].start 3573.29534375
transcript.pyannote[534].end 3574.45971875
transcript.pyannote[535].speaker SPEAKER_22
transcript.pyannote[535].start 3574.81409375
transcript.pyannote[535].end 3577.00784375
transcript.pyannote[536].speaker SPEAKER_22
transcript.pyannote[536].start 3577.14284375
transcript.pyannote[536].end 3578.25659375
transcript.pyannote[537].speaker SPEAKER_22
transcript.pyannote[537].start 3578.47596875
transcript.pyannote[537].end 3582.55971875
transcript.pyannote[538].speaker SPEAKER_22
transcript.pyannote[538].start 3583.20096875
transcript.pyannote[538].end 3587.28471875
transcript.pyannote[539].speaker SPEAKER_22
transcript.pyannote[539].start 3587.68971875
transcript.pyannote[539].end 3589.22534375
transcript.pyannote[540].speaker SPEAKER_22
transcript.pyannote[540].start 3589.57971875
transcript.pyannote[540].end 3591.03096875
transcript.pyannote[541].speaker SPEAKER_22
transcript.pyannote[541].start 3591.68909375
transcript.pyannote[541].end 3594.94596875
transcript.pyannote[542].speaker SPEAKER_22
transcript.pyannote[542].start 3595.55346875
transcript.pyannote[542].end 3598.54034375
transcript.pyannote[543].speaker SPEAKER_22
transcript.pyannote[543].start 3599.11409375
transcript.pyannote[543].end 3604.80096875
transcript.pyannote[544].speaker SPEAKER_22
transcript.pyannote[544].start 3605.30721875
transcript.pyannote[544].end 3607.38284375
transcript.pyannote[545].speaker SPEAKER_22
transcript.pyannote[545].start 3608.37846875
transcript.pyannote[545].end 3614.87534375
transcript.pyannote[546].speaker SPEAKER_22
transcript.pyannote[546].start 3617.91284375
transcript.pyannote[546].end 3619.02659375
transcript.pyannote[547].speaker SPEAKER_22
transcript.pyannote[547].start 3619.21221875
transcript.pyannote[547].end 3621.28784375
transcript.pyannote[548].speaker SPEAKER_22
transcript.pyannote[548].start 3621.86159375
transcript.pyannote[548].end 3624.64596875
transcript.pyannote[549].speaker SPEAKER_22
transcript.pyannote[549].start 3625.06784375
transcript.pyannote[549].end 3632.27346875
transcript.pyannote[550].speaker SPEAKER_22
transcript.pyannote[550].start 3633.01596875
transcript.pyannote[550].end 3641.01471875
transcript.pyannote[551].speaker SPEAKER_22
transcript.pyannote[551].start 3641.80784375
transcript.pyannote[551].end 3647.02221875
transcript.pyannote[552].speaker SPEAKER_22
transcript.pyannote[552].start 3647.49471875
transcript.pyannote[552].end 3653.97471875
transcript.pyannote[553].speaker SPEAKER_22
transcript.pyannote[553].start 3654.98721875
transcript.pyannote[553].end 3658.69971875
transcript.pyannote[554].speaker SPEAKER_22
transcript.pyannote[554].start 3659.05409375
transcript.pyannote[554].end 3674.74784375
transcript.pyannote[555].speaker SPEAKER_22
transcript.pyannote[555].start 3675.06846875
transcript.pyannote[555].end 3680.31659375
transcript.pyannote[556].speaker SPEAKER_22
transcript.pyannote[556].start 3681.64971875
transcript.pyannote[556].end 3684.36659375
transcript.pyannote[557].speaker SPEAKER_22
transcript.pyannote[557].start 3684.68721875
transcript.pyannote[557].end 3690.15471875
transcript.pyannote[558].speaker SPEAKER_22
transcript.pyannote[558].start 3690.42471875
transcript.pyannote[558].end 3695.41971875
transcript.pyannote[559].speaker SPEAKER_00
transcript.pyannote[559].start 3690.88034375
transcript.pyannote[559].end 3691.11659375
transcript.pyannote[560].speaker SPEAKER_22
transcript.pyannote[560].start 3696.02721875
transcript.pyannote[560].end 3698.03534375
transcript.pyannote[561].speaker SPEAKER_22
transcript.pyannote[561].start 3698.23784375
transcript.pyannote[561].end 3701.25846875
transcript.pyannote[562].speaker SPEAKER_22
transcript.pyannote[562].start 3701.62971875
transcript.pyannote[562].end 3702.33846875
transcript.pyannote[563].speaker SPEAKER_22
transcript.pyannote[563].start 3702.94596875
transcript.pyannote[563].end 3706.82721875
transcript.pyannote[564].speaker SPEAKER_22
transcript.pyannote[564].start 3707.53596875
transcript.pyannote[564].end 3712.36221875
transcript.pyannote[565].speaker SPEAKER_22
transcript.pyannote[565].start 3712.80096875
transcript.pyannote[565].end 3713.86409375
transcript.pyannote[566].speaker SPEAKER_22
transcript.pyannote[566].start 3714.52221875
transcript.pyannote[566].end 3716.39534375
transcript.pyannote[567].speaker SPEAKER_22
transcript.pyannote[567].start 3716.74971875
transcript.pyannote[567].end 3717.50909375
transcript.pyannote[568].speaker SPEAKER_22
transcript.pyannote[568].start 3718.15034375
transcript.pyannote[568].end 3719.14596875
transcript.pyannote[569].speaker SPEAKER_22
transcript.pyannote[569].start 3719.51721875
transcript.pyannote[569].end 3724.30971875
transcript.pyannote[570].speaker SPEAKER_22
transcript.pyannote[570].start 3724.69784375
transcript.pyannote[570].end 3726.82409375
transcript.pyannote[571].speaker SPEAKER_22
transcript.pyannote[571].start 3727.22909375
transcript.pyannote[571].end 3729.84471875
transcript.pyannote[572].speaker SPEAKER_22
transcript.pyannote[572].start 3730.68846875
transcript.pyannote[572].end 3731.83596875
transcript.pyannote[573].speaker SPEAKER_22
transcript.pyannote[573].start 3732.51096875
transcript.pyannote[573].end 3734.62034375
transcript.pyannote[574].speaker SPEAKER_22
transcript.pyannote[574].start 3734.78909375
transcript.pyannote[574].end 3735.68346875
transcript.pyannote[575].speaker SPEAKER_22
transcript.pyannote[575].start 3736.45971875
transcript.pyannote[575].end 3739.51409375
transcript.pyannote[576].speaker SPEAKER_22
transcript.pyannote[576].start 3740.12159375
transcript.pyannote[576].end 3741.50534375
transcript.pyannote[577].speaker SPEAKER_22
transcript.pyannote[577].start 3741.87659375
transcript.pyannote[577].end 3742.38284375
transcript.pyannote[578].speaker SPEAKER_22
transcript.pyannote[578].start 3743.20971875
transcript.pyannote[578].end 3760.35471875
transcript.pyannote[579].speaker SPEAKER_22
transcript.pyannote[579].start 3760.77659375
transcript.pyannote[579].end 3765.06284375
transcript.pyannote[580].speaker SPEAKER_22
transcript.pyannote[580].start 3765.50159375
transcript.pyannote[580].end 3766.31159375
transcript.pyannote[581].speaker SPEAKER_22
transcript.pyannote[581].start 3767.12159375
transcript.pyannote[581].end 3770.58096875
transcript.pyannote[582].speaker SPEAKER_22
transcript.pyannote[582].start 3770.63159375
transcript.pyannote[582].end 3774.31034375
transcript.pyannote[583].speaker SPEAKER_22
transcript.pyannote[583].start 3774.51284375
transcript.pyannote[583].end 3776.01471875
transcript.pyannote[584].speaker SPEAKER_22
transcript.pyannote[584].start 3776.82471875
transcript.pyannote[584].end 3777.53346875
transcript.pyannote[585].speaker SPEAKER_22
transcript.pyannote[585].start 3778.12409375
transcript.pyannote[585].end 3783.03471875
transcript.pyannote[586].speaker SPEAKER_22
transcript.pyannote[586].start 3783.62534375
transcript.pyannote[586].end 3786.84846875
transcript.pyannote[587].speaker SPEAKER_22
transcript.pyannote[587].start 3787.65846875
transcript.pyannote[587].end 3788.80596875
transcript.pyannote[588].speaker SPEAKER_22
transcript.pyannote[588].start 3788.95784375
transcript.pyannote[588].end 3793.69971875
transcript.pyannote[589].speaker SPEAKER_22
transcript.pyannote[589].start 3794.00346875
transcript.pyannote[589].end 3805.37721875
transcript.pyannote[590].speaker SPEAKER_22
transcript.pyannote[590].start 3806.15346875
transcript.pyannote[590].end 3809.24159375
transcript.pyannote[591].speaker SPEAKER_22
transcript.pyannote[591].start 3810.00096875
transcript.pyannote[591].end 3823.60221875
transcript.pyannote[592].speaker SPEAKER_22
transcript.pyannote[592].start 3824.59784375
transcript.pyannote[592].end 3829.13721875
transcript.pyannote[593].speaker SPEAKER_22
transcript.pyannote[593].start 3829.71096875
transcript.pyannote[593].end 3830.26784375
transcript.pyannote[594].speaker SPEAKER_22
transcript.pyannote[594].start 3830.80784375
transcript.pyannote[594].end 3831.92159375
transcript.pyannote[595].speaker SPEAKER_22
transcript.pyannote[595].start 3832.12409375
transcript.pyannote[595].end 3834.21659375
transcript.pyannote[596].speaker SPEAKER_22
transcript.pyannote[596].start 3835.04346875
transcript.pyannote[596].end 3838.45221875
transcript.pyannote[597].speaker SPEAKER_22
transcript.pyannote[597].start 3838.75596875
transcript.pyannote[597].end 3841.82721875
transcript.pyannote[598].speaker SPEAKER_22
transcript.pyannote[598].start 3842.31659375
transcript.pyannote[598].end 3846.02909375
transcript.pyannote[599].speaker SPEAKER_22
transcript.pyannote[599].start 3846.24846875
transcript.pyannote[599].end 3848.84721875
transcript.pyannote[600].speaker SPEAKER_22
transcript.pyannote[600].start 3849.10034375
transcript.pyannote[600].end 3849.50534375
transcript.pyannote[601].speaker SPEAKER_17
transcript.pyannote[601].start 3852.74534375
transcript.pyannote[601].end 3853.13346875
transcript.pyannote[602].speaker SPEAKER_17
transcript.pyannote[602].start 3854.12909375
transcript.pyannote[602].end 3859.84971875
transcript.pyannote[603].speaker SPEAKER_17
transcript.pyannote[603].start 3860.40659375
transcript.pyannote[603].end 3861.95909375
transcript.pyannote[604].speaker SPEAKER_17
transcript.pyannote[604].start 3862.11096875
transcript.pyannote[604].end 3863.95034375
transcript.pyannote[605].speaker SPEAKER_17
transcript.pyannote[605].start 3864.96284375
transcript.pyannote[605].end 3869.26596875
transcript.pyannote[606].speaker SPEAKER_17
transcript.pyannote[606].start 3869.78909375
transcript.pyannote[606].end 3879.76221875
transcript.pyannote[607].speaker SPEAKER_03
transcript.pyannote[607].start 3884.40284375
transcript.pyannote[607].end 3885.26346875
transcript.pyannote[608].speaker SPEAKER_03
transcript.pyannote[608].start 3885.39846875
transcript.pyannote[608].end 3886.64721875
transcript.pyannote[609].speaker SPEAKER_03
transcript.pyannote[609].start 3887.18721875
transcript.pyannote[609].end 3896.65409375
transcript.pyannote[610].speaker SPEAKER_03
transcript.pyannote[610].start 3896.82284375
transcript.pyannote[610].end 3899.99534375
transcript.pyannote[611].speaker SPEAKER_03
transcript.pyannote[611].start 3900.53534375
transcript.pyannote[611].end 3906.27284375
transcript.pyannote[612].speaker SPEAKER_03
transcript.pyannote[612].start 3906.77909375
transcript.pyannote[612].end 3910.37346875
transcript.pyannote[613].speaker SPEAKER_03
transcript.pyannote[613].start 3910.50846875
transcript.pyannote[613].end 3915.30096875
transcript.pyannote[614].speaker SPEAKER_03
transcript.pyannote[614].start 3915.84096875
transcript.pyannote[614].end 3917.62971875
transcript.pyannote[615].speaker SPEAKER_03
transcript.pyannote[615].start 3918.22034375
transcript.pyannote[615].end 3919.70534375
transcript.pyannote[616].speaker SPEAKER_03
transcript.pyannote[616].start 3919.94159375
transcript.pyannote[616].end 3921.10596875
transcript.pyannote[617].speaker SPEAKER_03
transcript.pyannote[617].start 3921.44346875
transcript.pyannote[617].end 3943.54971875
transcript.pyannote[618].speaker SPEAKER_03
transcript.pyannote[618].start 3943.88721875
transcript.pyannote[618].end 3947.98784375
transcript.pyannote[619].speaker SPEAKER_03
transcript.pyannote[619].start 3948.17346875
transcript.pyannote[619].end 3948.61221875
transcript.pyannote[620].speaker SPEAKER_03
transcript.pyannote[620].start 3949.03409375
transcript.pyannote[620].end 3956.15534375
transcript.pyannote[621].speaker SPEAKER_03
transcript.pyannote[621].start 3956.72909375
transcript.pyannote[621].end 3962.31471875
transcript.pyannote[622].speaker SPEAKER_03
transcript.pyannote[622].start 3962.78721875
transcript.pyannote[622].end 3964.69409375
transcript.pyannote[623].speaker SPEAKER_03
transcript.pyannote[623].start 3964.89659375
transcript.pyannote[623].end 3969.09846875
transcript.pyannote[624].speaker SPEAKER_03
transcript.pyannote[624].start 3969.35159375
transcript.pyannote[624].end 3970.53284375
transcript.pyannote[625].speaker SPEAKER_03
transcript.pyannote[625].start 3971.24159375
transcript.pyannote[625].end 3974.02596875
transcript.pyannote[626].speaker SPEAKER_03
transcript.pyannote[626].start 3974.90346875
transcript.pyannote[626].end 3977.73846875
transcript.pyannote[627].speaker SPEAKER_03
transcript.pyannote[627].start 3978.63284375
transcript.pyannote[627].end 3981.38346875
transcript.pyannote[628].speaker SPEAKER_03
transcript.pyannote[628].start 3981.87284375
transcript.pyannote[628].end 3983.12159375
transcript.pyannote[629].speaker SPEAKER_03
transcript.pyannote[629].start 3983.44221875
transcript.pyannote[629].end 3989.44971875
transcript.pyannote[630].speaker SPEAKER_03
transcript.pyannote[630].start 3989.87159375
transcript.pyannote[630].end 3993.39846875
transcript.pyannote[631].speaker SPEAKER_03
transcript.pyannote[631].start 3993.58409375
transcript.pyannote[631].end 3996.31784375
transcript.pyannote[632].speaker SPEAKER_03
transcript.pyannote[632].start 3996.72284375
transcript.pyannote[632].end 3997.98846875
transcript.pyannote[633].speaker SPEAKER_03
transcript.pyannote[633].start 3998.66346875
transcript.pyannote[633].end 3999.33846875
transcript.pyannote[634].speaker SPEAKER_03
transcript.pyannote[634].start 3999.55784375
transcript.pyannote[634].end 4002.00471875
transcript.pyannote[635].speaker SPEAKER_03
transcript.pyannote[635].start 4002.29159375
transcript.pyannote[635].end 4002.54471875
transcript.pyannote[636].speaker SPEAKER_03
transcript.pyannote[636].start 4002.74721875
transcript.pyannote[636].end 4004.53596875
transcript.pyannote[637].speaker SPEAKER_03
transcript.pyannote[637].start 4005.10971875
transcript.pyannote[637].end 4018.89659375
transcript.pyannote[638].speaker SPEAKER_03
transcript.pyannote[638].start 4019.04846875
transcript.pyannote[638].end 4034.30346875
transcript.pyannote[639].speaker SPEAKER_03
transcript.pyannote[639].start 4034.60721875
transcript.pyannote[639].end 4036.17659375
transcript.pyannote[640].speaker SPEAKER_03
transcript.pyannote[640].start 4036.58159375
transcript.pyannote[640].end 4038.80909375
transcript.pyannote[641].speaker SPEAKER_03
transcript.pyannote[641].start 4039.38284375
transcript.pyannote[641].end 4040.27721875
transcript.pyannote[642].speaker SPEAKER_03
transcript.pyannote[642].start 4040.63159375
transcript.pyannote[642].end 4043.24721875
transcript.pyannote[643].speaker SPEAKER_03
transcript.pyannote[643].start 4043.61846875
transcript.pyannote[643].end 4044.37784375
transcript.pyannote[644].speaker SPEAKER_03
transcript.pyannote[644].start 4044.58034375
transcript.pyannote[644].end 4047.02721875
transcript.pyannote[645].speaker SPEAKER_03
transcript.pyannote[645].start 4047.43221875
transcript.pyannote[645].end 4048.22534375
transcript.pyannote[646].speaker SPEAKER_03
transcript.pyannote[646].start 4048.66409375
transcript.pyannote[646].end 4049.99721875
transcript.pyannote[647].speaker SPEAKER_03
transcript.pyannote[647].start 4050.45284375
transcript.pyannote[647].end 4051.34721875
transcript.pyannote[648].speaker SPEAKER_03
transcript.pyannote[648].start 4051.56659375
transcript.pyannote[648].end 4052.35971875
transcript.pyannote[649].speaker SPEAKER_03
transcript.pyannote[649].start 4052.42721875
transcript.pyannote[649].end 4054.77284375
transcript.pyannote[650].speaker SPEAKER_03
transcript.pyannote[650].start 4055.24534375
transcript.pyannote[650].end 4059.04221875
transcript.pyannote[651].speaker SPEAKER_03
transcript.pyannote[651].start 4059.27846875
transcript.pyannote[651].end 4060.07159375
transcript.pyannote[652].speaker SPEAKER_03
transcript.pyannote[652].start 4060.25721875
transcript.pyannote[652].end 4061.65784375
transcript.pyannote[653].speaker SPEAKER_17
transcript.pyannote[653].start 4067.69909375
transcript.pyannote[653].end 4068.03659375
transcript.pyannote[654].speaker SPEAKER_17
transcript.pyannote[654].start 4068.50909375
transcript.pyannote[654].end 4072.39034375
transcript.pyannote[655].speaker SPEAKER_17
transcript.pyannote[655].start 4073.14971875
transcript.pyannote[655].end 4074.43221875
transcript.pyannote[656].speaker SPEAKER_17
transcript.pyannote[656].start 4074.83721875
transcript.pyannote[656].end 4076.47409375
transcript.pyannote[657].speaker SPEAKER_17
transcript.pyannote[657].start 4076.82846875
transcript.pyannote[657].end 4080.89534375
transcript.pyannote[658].speaker SPEAKER_17
transcript.pyannote[658].start 4081.45221875
transcript.pyannote[658].end 4087.03784375
transcript.pyannote[659].speaker SPEAKER_17
transcript.pyannote[659].start 4092.42096875
transcript.pyannote[659].end 4094.44596875
transcript.pyannote[660].speaker SPEAKER_17
transcript.pyannote[660].start 4097.98971875
transcript.pyannote[660].end 4098.09096875
transcript.pyannote[661].speaker SPEAKER_01
transcript.pyannote[661].start 4098.09096875
transcript.pyannote[661].end 4098.25971875
transcript.pyannote[662].speaker SPEAKER_22
transcript.pyannote[662].start 4102.74846875
transcript.pyannote[662].end 4103.28846875
transcript.pyannote[663].speaker SPEAKER_22
transcript.pyannote[663].start 4103.30534375
transcript.pyannote[663].end 4103.32221875
transcript.pyannote[664].speaker SPEAKER_23
transcript.pyannote[664].start 4103.32221875
transcript.pyannote[664].end 4115.60721875
transcript.pyannote[665].speaker SPEAKER_23
transcript.pyannote[665].start 4115.99534375
transcript.pyannote[665].end 4122.89721875
transcript.pyannote[666].speaker SPEAKER_22
transcript.pyannote[666].start 4123.75784375
transcript.pyannote[666].end 4131.62159375
transcript.pyannote[667].speaker SPEAKER_23
transcript.pyannote[667].start 4132.09409375
transcript.pyannote[667].end 4145.67846875
transcript.pyannote[668].speaker SPEAKER_23
transcript.pyannote[668].start 4148.05784375
transcript.pyannote[668].end 4148.09159375
transcript.pyannote[669].speaker SPEAKER_22
transcript.pyannote[669].start 4148.09159375
transcript.pyannote[669].end 4148.10846875
transcript.pyannote[670].speaker SPEAKER_23
transcript.pyannote[670].start 4148.10846875
transcript.pyannote[670].end 4149.13784375
transcript.pyannote[671].speaker SPEAKER_22
transcript.pyannote[671].start 4148.14221875
transcript.pyannote[671].end 4154.03159375
transcript.pyannote[672].speaker SPEAKER_22
transcript.pyannote[672].start 4154.67284375
transcript.pyannote[672].end 4155.17909375
transcript.pyannote[673].speaker SPEAKER_22
transcript.pyannote[673].start 4155.71909375
transcript.pyannote[673].end 4157.38971875
transcript.pyannote[674].speaker SPEAKER_22
transcript.pyannote[674].start 4158.63846875
transcript.pyannote[674].end 4163.02596875
transcript.pyannote[675].speaker SPEAKER_23
transcript.pyannote[675].start 4158.67221875
transcript.pyannote[675].end 4160.10659375
transcript.pyannote[676].speaker SPEAKER_23
transcript.pyannote[676].start 4161.13596875
transcript.pyannote[676].end 4162.51971875
transcript.pyannote[677].speaker SPEAKER_38
transcript.pyannote[677].start 4164.52784375
transcript.pyannote[677].end 4185.31784375
transcript.pyannote[678].speaker SPEAKER_38
transcript.pyannote[678].start 4185.97596875
transcript.pyannote[678].end 4203.86346875
transcript.pyannote[679].speaker SPEAKER_23
transcript.pyannote[679].start 4203.45846875
transcript.pyannote[679].end 4206.42846875
transcript.pyannote[680].speaker SPEAKER_35
transcript.pyannote[680].start 4207.42409375
transcript.pyannote[680].end 4208.48721875
transcript.pyannote[681].speaker SPEAKER_35
transcript.pyannote[681].start 4208.80784375
transcript.pyannote[681].end 4214.24159375
transcript.pyannote[682].speaker SPEAKER_35
transcript.pyannote[682].start 4214.93346875
transcript.pyannote[682].end 4218.47721875
transcript.pyannote[683].speaker SPEAKER_35
transcript.pyannote[683].start 4218.98346875
transcript.pyannote[683].end 4230.35721875
transcript.pyannote[684].speaker SPEAKER_35
transcript.pyannote[684].start 4230.79596875
transcript.pyannote[684].end 4245.27471875
transcript.pyannote[685].speaker SPEAKER_39
transcript.pyannote[685].start 4245.35909375
transcript.pyannote[685].end 4245.84846875
transcript.pyannote[686].speaker SPEAKER_35
transcript.pyannote[686].start 4245.84846875
transcript.pyannote[686].end 4251.78846875
transcript.pyannote[687].speaker SPEAKER_35
transcript.pyannote[687].start 4252.00784375
transcript.pyannote[687].end 4265.05221875
transcript.pyannote[688].speaker SPEAKER_23
transcript.pyannote[688].start 4263.43221875
transcript.pyannote[688].end 4265.86221875
transcript.pyannote[689].speaker SPEAKER_23
transcript.pyannote[689].start 4265.89596875
transcript.pyannote[689].end 4294.39784375
transcript.pyannote[690].speaker SPEAKER_39
transcript.pyannote[690].start 4280.69534375
transcript.pyannote[690].end 4280.96534375
transcript.pyannote[691].speaker SPEAKER_00
transcript.pyannote[691].start 4280.96534375
transcript.pyannote[691].end 4281.55596875
transcript.pyannote[692].speaker SPEAKER_23
transcript.pyannote[692].start 4295.22471875
transcript.pyannote[692].end 4297.97534375
transcript.pyannote[693].speaker SPEAKER_22
transcript.pyannote[693].start 4297.97534375
transcript.pyannote[693].end 4298.02596875
transcript.pyannote[694].speaker SPEAKER_23
transcript.pyannote[694].start 4298.02596875
transcript.pyannote[694].end 4298.92034375
transcript.pyannote[695].speaker SPEAKER_22
transcript.pyannote[695].start 4298.12721875
transcript.pyannote[695].end 4298.16096875
transcript.pyannote[696].speaker SPEAKER_19
transcript.pyannote[696].start 4298.16096875
transcript.pyannote[696].end 4298.83596875
transcript.pyannote[697].speaker SPEAKER_19
transcript.pyannote[697].start 4298.92034375
transcript.pyannote[697].end 4307.34096875
transcript.pyannote[698].speaker SPEAKER_19
transcript.pyannote[698].start 4307.59409375
transcript.pyannote[698].end 4308.20159375
transcript.pyannote[699].speaker SPEAKER_23
transcript.pyannote[699].start 4308.20159375
transcript.pyannote[699].end 4308.21846875
transcript.pyannote[700].speaker SPEAKER_23
transcript.pyannote[700].start 4308.47159375
transcript.pyannote[700].end 4308.77534375
transcript.pyannote[701].speaker SPEAKER_23
transcript.pyannote[701].start 4308.91034375
transcript.pyannote[701].end 4311.64409375
transcript.pyannote[702].speaker SPEAKER_23
transcript.pyannote[702].start 4312.13346875
transcript.pyannote[702].end 4313.43284375
transcript.pyannote[703].speaker SPEAKER_23
transcript.pyannote[703].start 4314.05721875
transcript.pyannote[703].end 4314.39471875
transcript.pyannote[704].speaker SPEAKER_23
transcript.pyannote[704].start 4314.79971875
transcript.pyannote[704].end 4375.06034375
transcript.pyannote[705].speaker SPEAKER_17
transcript.pyannote[705].start 4315.35659375
transcript.pyannote[705].end 4316.33534375
transcript.pyannote[706].speaker SPEAKER_23
transcript.pyannote[706].start 4375.56659375
transcript.pyannote[706].end 4387.12596875
transcript.pyannote[707].speaker SPEAKER_23
transcript.pyannote[707].start 4387.42971875
transcript.pyannote[707].end 4399.47846875
transcript.pyannote[708].speaker SPEAKER_23
transcript.pyannote[708].start 4399.63034375
transcript.pyannote[708].end 4425.21284375
transcript.pyannote[709].speaker SPEAKER_23
transcript.pyannote[709].start 4425.93846875
transcript.pyannote[709].end 4428.09846875
transcript.pyannote[710].speaker SPEAKER_23
transcript.pyannote[710].start 4428.63846875
transcript.pyannote[710].end 4484.71409375
transcript.pyannote[711].speaker SPEAKER_23
transcript.pyannote[711].start 4484.93346875
transcript.pyannote[711].end 4490.13096875
transcript.pyannote[712].speaker SPEAKER_23
transcript.pyannote[712].start 4490.65409375
transcript.pyannote[712].end 4530.61409375
transcript.pyannote[713].speaker SPEAKER_23
transcript.pyannote[713].start 4530.98534375
transcript.pyannote[713].end 4534.56284375
transcript.pyannote[714].speaker SPEAKER_23
transcript.pyannote[714].start 4534.96784375
transcript.pyannote[714].end 4573.89846875
transcript.pyannote[715].speaker SPEAKER_23
transcript.pyannote[715].start 4574.99534375
transcript.pyannote[715].end 4577.81346875
transcript.pyannote[716].speaker SPEAKER_23
transcript.pyannote[716].start 4578.20159375
transcript.pyannote[716].end 4581.86346875
transcript.pyannote[717].speaker SPEAKER_23
transcript.pyannote[717].start 4582.38659375
transcript.pyannote[717].end 4585.87971875
transcript.pyannote[718].speaker SPEAKER_23
transcript.pyannote[718].start 4586.26784375
transcript.pyannote[718].end 4589.47409375
transcript.pyannote[719].speaker SPEAKER_23
transcript.pyannote[719].start 4590.01409375
transcript.pyannote[719].end 4591.26284375
transcript.pyannote[720].speaker SPEAKER_23
transcript.pyannote[720].start 4591.73534375
transcript.pyannote[720].end 4592.14034375
transcript.pyannote[721].speaker SPEAKER_23
transcript.pyannote[721].start 4592.20784375
transcript.pyannote[721].end 4594.55346875
transcript.pyannote[722].speaker SPEAKER_23
transcript.pyannote[722].start 4594.78971875
transcript.pyannote[722].end 4618.90409375
transcript.pyannote[723].speaker SPEAKER_34
transcript.pyannote[723].start 4618.87034375
transcript.pyannote[723].end 4618.88721875
transcript.pyannote[724].speaker SPEAKER_40
transcript.pyannote[724].start 4618.88721875
transcript.pyannote[724].end 4619.03909375
transcript.pyannote[725].speaker SPEAKER_34
transcript.pyannote[725].start 4619.03909375
transcript.pyannote[725].end 4619.39346875
transcript.pyannote[726].speaker SPEAKER_23
transcript.pyannote[726].start 4619.22471875
transcript.pyannote[726].end 4625.46846875
transcript.pyannote[727].speaker SPEAKER_23
transcript.pyannote[727].start 4625.51909375
transcript.pyannote[727].end 4655.59034375
transcript.pyannote[728].speaker SPEAKER_22
transcript.pyannote[728].start 4655.72534375
transcript.pyannote[728].end 4658.13846875
transcript.pyannote[729].speaker SPEAKER_23
transcript.pyannote[729].start 4658.30721875
transcript.pyannote[729].end 4669.74846875
transcript.pyannote[730].speaker SPEAKER_03
transcript.pyannote[730].start 4668.87096875
transcript.pyannote[730].end 4679.60346875
transcript.pyannote[731].speaker SPEAKER_03
transcript.pyannote[731].start 4679.75534375
transcript.pyannote[731].end 4716.99846875
transcript.pyannote[732].speaker SPEAKER_03
transcript.pyannote[732].start 4717.28534375
transcript.pyannote[732].end 4719.58034375
transcript.pyannote[733].speaker SPEAKER_23
transcript.pyannote[733].start 4719.29346875
transcript.pyannote[733].end 4720.77846875
transcript.pyannote[734].speaker SPEAKER_17
transcript.pyannote[734].start 4729.85721875
transcript.pyannote[734].end 4731.47721875
transcript.pyannote[735].speaker SPEAKER_15
transcript.pyannote[735].start 4738.31159375
transcript.pyannote[735].end 4743.52596875
transcript.pyannote[736].speaker SPEAKER_15
transcript.pyannote[736].start 4743.88034375
transcript.pyannote[736].end 4745.24721875
transcript.pyannote[737].speaker SPEAKER_15
transcript.pyannote[737].start 4745.34846875
transcript.pyannote[737].end 4746.04034375
transcript.pyannote[738].speaker SPEAKER_44
transcript.pyannote[738].start 4752.87471875
transcript.pyannote[738].end 4753.43159375
transcript.pyannote[739].speaker SPEAKER_15
transcript.pyannote[739].start 4753.75221875
transcript.pyannote[739].end 4754.27534375
transcript.pyannote[740].speaker SPEAKER_15
transcript.pyannote[740].start 4754.74784375
transcript.pyannote[740].end 4755.10221875
transcript.pyannote[741].speaker SPEAKER_15
transcript.pyannote[741].start 4755.47346875
transcript.pyannote[741].end 4765.98659375
transcript.pyannote[742].speaker SPEAKER_15
transcript.pyannote[742].start 4766.07096875
transcript.pyannote[742].end 4766.12159375
transcript.pyannote[743].speaker SPEAKER_08
transcript.pyannote[743].start 4766.12159375
transcript.pyannote[743].end 4766.40846875
transcript.pyannote[744].speaker SPEAKER_15
transcript.pyannote[744].start 4766.40846875
transcript.pyannote[744].end 4769.20971875
transcript.pyannote[745].speaker SPEAKER_15
transcript.pyannote[745].start 4769.51346875
transcript.pyannote[745].end 4772.11221875
transcript.pyannote[746].speaker SPEAKER_15
transcript.pyannote[746].start 4772.48346875
transcript.pyannote[746].end 4777.78221875
transcript.pyannote[747].speaker SPEAKER_15
transcript.pyannote[747].start 4778.47409375
transcript.pyannote[747].end 4780.12784375
transcript.pyannote[748].speaker SPEAKER_15
transcript.pyannote[748].start 4780.39784375
transcript.pyannote[748].end 4782.33846875
transcript.pyannote[749].speaker SPEAKER_15
transcript.pyannote[749].start 4782.94596875
transcript.pyannote[749].end 4783.36784375
transcript.pyannote[750].speaker SPEAKER_15
transcript.pyannote[750].start 4783.70534375
transcript.pyannote[750].end 4783.99221875
transcript.pyannote[751].speaker SPEAKER_15
transcript.pyannote[751].start 4785.00471875
transcript.pyannote[751].end 4787.26596875
transcript.pyannote[752].speaker SPEAKER_22
transcript.pyannote[752].start 4788.51471875
transcript.pyannote[752].end 4789.84784375
transcript.pyannote[753].speaker SPEAKER_15
transcript.pyannote[753].start 4790.30346875
transcript.pyannote[753].end 4795.02846875
transcript.pyannote[754].speaker SPEAKER_15
transcript.pyannote[754].start 4795.41659375
transcript.pyannote[754].end 4797.59346875
transcript.pyannote[755].speaker SPEAKER_22
transcript.pyannote[755].start 4798.20096875
transcript.pyannote[755].end 4807.26284375
transcript.pyannote[756].speaker SPEAKER_22
transcript.pyannote[756].start 4807.53284375
transcript.pyannote[756].end 4814.31659375
transcript.pyannote[757].speaker SPEAKER_15
transcript.pyannote[757].start 4812.74721875
transcript.pyannote[757].end 4845.26534375
transcript.pyannote[758].speaker SPEAKER_15
transcript.pyannote[758].start 4845.78846875
transcript.pyannote[758].end 4849.07909375
transcript.pyannote[759].speaker SPEAKER_15
transcript.pyannote[759].start 4849.33221875
transcript.pyannote[759].end 4889.76471875
transcript.pyannote[760].speaker SPEAKER_22
transcript.pyannote[760].start 4890.79409375
transcript.pyannote[760].end 4891.77284375
transcript.pyannote[761].speaker SPEAKER_15
transcript.pyannote[761].start 4891.06409375
transcript.pyannote[761].end 4891.80659375
transcript.pyannote[762].speaker SPEAKER_22
transcript.pyannote[762].start 4892.00909375
transcript.pyannote[762].end 4894.72596875
transcript.pyannote[763].speaker SPEAKER_15
transcript.pyannote[763].start 4894.94534375
transcript.pyannote[763].end 4895.36721875
transcript.pyannote[764].speaker SPEAKER_15
transcript.pyannote[764].start 4895.87346875
transcript.pyannote[764].end 4900.07534375
transcript.pyannote[765].speaker SPEAKER_15
transcript.pyannote[765].start 4900.32846875
transcript.pyannote[765].end 4901.35784375
transcript.pyannote[766].speaker SPEAKER_15
transcript.pyannote[766].start 4901.84721875
transcript.pyannote[766].end 4913.57534375
transcript.pyannote[767].speaker SPEAKER_22
transcript.pyannote[767].start 4914.82409375
transcript.pyannote[767].end 4915.76909375
transcript.pyannote[768].speaker SPEAKER_22
transcript.pyannote[768].start 4915.83659375
transcript.pyannote[768].end 4915.97159375
transcript.pyannote[769].speaker SPEAKER_15
transcript.pyannote[769].start 4915.90409375
transcript.pyannote[769].end 4915.95471875
transcript.pyannote[770].speaker SPEAKER_15
transcript.pyannote[770].start 4915.97159375
transcript.pyannote[770].end 4916.03909375
transcript.pyannote[771].speaker SPEAKER_22
transcript.pyannote[771].start 4916.03909375
transcript.pyannote[771].end 4919.38034375
transcript.pyannote[772].speaker SPEAKER_15
transcript.pyannote[772].start 4916.07284375
transcript.pyannote[772].end 4917.72659375
transcript.pyannote[773].speaker SPEAKER_22
transcript.pyannote[773].start 4920.81471875
transcript.pyannote[773].end 4922.29971875
transcript.pyannote[774].speaker SPEAKER_22
transcript.pyannote[774].start 4922.58659375
transcript.pyannote[774].end 4926.11346875
transcript.pyannote[775].speaker SPEAKER_22
transcript.pyannote[775].start 4926.68721875
transcript.pyannote[775].end 4928.03721875
transcript.pyannote[776].speaker SPEAKER_22
transcript.pyannote[776].start 4928.42534375
transcript.pyannote[776].end 4932.01971875
transcript.pyannote[777].speaker SPEAKER_15
transcript.pyannote[777].start 4931.76659375
transcript.pyannote[777].end 4932.00284375
transcript.pyannote[778].speaker SPEAKER_15
transcript.pyannote[778].start 4932.01971875
transcript.pyannote[778].end 4938.61784375
transcript.pyannote[779].speaker SPEAKER_15
transcript.pyannote[779].start 4939.52909375
transcript.pyannote[779].end 4940.15346875
transcript.pyannote[780].speaker SPEAKER_15
transcript.pyannote[780].start 4941.68909375
transcript.pyannote[780].end 4944.00096875
transcript.pyannote[781].speaker SPEAKER_15
transcript.pyannote[781].start 4944.06846875
transcript.pyannote[781].end 4948.15221875
transcript.pyannote[782].speaker SPEAKER_15
transcript.pyannote[782].start 4948.64159375
transcript.pyannote[782].end 4962.44534375
transcript.pyannote[783].speaker SPEAKER_22
transcript.pyannote[783].start 4948.81034375
transcript.pyannote[783].end 4948.84409375
transcript.pyannote[784].speaker SPEAKER_39
transcript.pyannote[784].start 4948.84409375
transcript.pyannote[784].end 4949.14784375
transcript.pyannote[785].speaker SPEAKER_22
transcript.pyannote[785].start 4949.14784375
transcript.pyannote[785].end 4949.16471875
transcript.pyannote[786].speaker SPEAKER_39
transcript.pyannote[786].start 4951.93221875
transcript.pyannote[786].end 4952.30346875
transcript.pyannote[787].speaker SPEAKER_22
transcript.pyannote[787].start 4962.68159375
transcript.pyannote[787].end 4963.17096875
transcript.pyannote[788].speaker SPEAKER_15
transcript.pyannote[788].start 4963.17096875
transcript.pyannote[788].end 4963.62659375
transcript.pyannote[789].speaker SPEAKER_15
transcript.pyannote[789].start 4963.72784375
transcript.pyannote[789].end 4981.69971875
transcript.pyannote[790].speaker SPEAKER_15
transcript.pyannote[790].start 4982.12159375
transcript.pyannote[790].end 4983.48846875
transcript.pyannote[791].speaker SPEAKER_15
transcript.pyannote[791].start 4984.16346875
transcript.pyannote[791].end 4989.09096875
transcript.pyannote[792].speaker SPEAKER_03
transcript.pyannote[792].start 4991.43659375
transcript.pyannote[792].end 5001.96659375
transcript.pyannote[793].speaker SPEAKER_15
transcript.pyannote[793].start 5001.35909375
transcript.pyannote[793].end 5003.06346875
transcript.pyannote[794].speaker SPEAKER_15
transcript.pyannote[794].start 5003.45159375
transcript.pyannote[794].end 5015.17971875
transcript.pyannote[795].speaker SPEAKER_03
transcript.pyannote[795].start 5015.38221875
transcript.pyannote[795].end 5015.70284375
transcript.pyannote[796].speaker SPEAKER_15
transcript.pyannote[796].start 5015.70284375
transcript.pyannote[796].end 5019.85409375
transcript.pyannote[797].speaker SPEAKER_03
transcript.pyannote[797].start 5017.69409375
transcript.pyannote[797].end 5018.18346875
transcript.pyannote[798].speaker SPEAKER_03
transcript.pyannote[798].start 5019.60096875
transcript.pyannote[798].end 5021.08596875
transcript.pyannote[799].speaker SPEAKER_15
transcript.pyannote[799].start 5020.84971875
transcript.pyannote[799].end 5022.70596875
transcript.pyannote[800].speaker SPEAKER_03
transcript.pyannote[800].start 5022.95909375
transcript.pyannote[800].end 5033.01659375
transcript.pyannote[801].speaker SPEAKER_03
transcript.pyannote[801].start 5033.25284375
transcript.pyannote[801].end 5035.78409375
transcript.pyannote[802].speaker SPEAKER_15
transcript.pyannote[802].start 5033.43846875
transcript.pyannote[802].end 5041.18409375
transcript.pyannote[803].speaker SPEAKER_03
transcript.pyannote[803].start 5035.95284375
transcript.pyannote[803].end 5037.74159375
transcript.pyannote[804].speaker SPEAKER_15
transcript.pyannote[804].start 5041.21784375
transcript.pyannote[804].end 5041.23471875
transcript.pyannote[805].speaker SPEAKER_03
transcript.pyannote[805].start 5041.23471875
transcript.pyannote[805].end 5041.25159375
transcript.pyannote[806].speaker SPEAKER_39
transcript.pyannote[806].start 5041.25159375
transcript.pyannote[806].end 5041.52159375
transcript.pyannote[807].speaker SPEAKER_15
transcript.pyannote[807].start 5041.52159375
transcript.pyannote[807].end 5045.36909375
transcript.pyannote[808].speaker SPEAKER_15
transcript.pyannote[808].start 5045.50409375
transcript.pyannote[808].end 5048.37284375
transcript.pyannote[809].speaker SPEAKER_15
transcript.pyannote[809].start 5048.57534375
transcript.pyannote[809].end 5050.22909375
transcript.pyannote[810].speaker SPEAKER_03
transcript.pyannote[810].start 5050.51596875
transcript.pyannote[810].end 5063.45909375
transcript.pyannote[811].speaker SPEAKER_15
transcript.pyannote[811].start 5050.81971875
transcript.pyannote[811].end 5052.38909375
transcript.pyannote[812].speaker SPEAKER_15
transcript.pyannote[812].start 5053.06409375
transcript.pyannote[812].end 5054.93721875
transcript.pyannote[813].speaker SPEAKER_15
transcript.pyannote[813].start 5056.84409375
transcript.pyannote[813].end 5057.35034375
transcript.pyannote[814].speaker SPEAKER_39
transcript.pyannote[814].start 5060.86034375
transcript.pyannote[814].end 5060.87721875
transcript.pyannote[815].speaker SPEAKER_15
transcript.pyannote[815].start 5060.87721875
transcript.pyannote[815].end 5064.48846875
transcript.pyannote[816].speaker SPEAKER_03
transcript.pyannote[816].start 5064.48846875
transcript.pyannote[816].end 5069.88846875
transcript.pyannote[817].speaker SPEAKER_15
transcript.pyannote[817].start 5066.98596875
transcript.pyannote[817].end 5074.19159375
transcript.pyannote[818].speaker SPEAKER_03
transcript.pyannote[818].start 5070.86721875
transcript.pyannote[818].end 5072.84159375
transcript.pyannote[819].speaker SPEAKER_15
transcript.pyannote[819].start 5074.32659375
transcript.pyannote[819].end 5076.65534375
transcript.pyannote[820].speaker SPEAKER_15
transcript.pyannote[820].start 5079.08534375
transcript.pyannote[820].end 5083.33784375
transcript.pyannote[821].speaker SPEAKER_15
transcript.pyannote[821].start 5083.91159375
transcript.pyannote[821].end 5086.51034375
transcript.pyannote[822].speaker SPEAKER_15
transcript.pyannote[822].start 5087.38784375
transcript.pyannote[822].end 5088.88971875
transcript.pyannote[823].speaker SPEAKER_15
transcript.pyannote[823].start 5089.41284375
transcript.pyannote[823].end 5092.51784375
transcript.pyannote[824].speaker SPEAKER_15
transcript.pyannote[824].start 5093.31096875
transcript.pyannote[824].end 5112.12659375
transcript.pyannote[825].speaker SPEAKER_39
transcript.pyannote[825].start 5112.49784375
transcript.pyannote[825].end 5112.75096875
transcript.pyannote[826].speaker SPEAKER_15
transcript.pyannote[826].start 5112.75096875
transcript.pyannote[826].end 5112.78471875
transcript.pyannote[827].speaker SPEAKER_15
transcript.pyannote[827].start 5112.81846875
transcript.pyannote[827].end 5120.88471875
transcript.pyannote[828].speaker SPEAKER_15
transcript.pyannote[828].start 5121.12096875
transcript.pyannote[828].end 5126.13284375
transcript.pyannote[829].speaker SPEAKER_22
transcript.pyannote[829].start 5126.13284375
transcript.pyannote[829].end 5126.20034375
transcript.pyannote[830].speaker SPEAKER_15
transcript.pyannote[830].start 5126.20034375
transcript.pyannote[830].end 5126.63909375
transcript.pyannote[831].speaker SPEAKER_22
transcript.pyannote[831].start 5127.17909375
transcript.pyannote[831].end 5133.18659375
transcript.pyannote[832].speaker SPEAKER_22
transcript.pyannote[832].start 5134.78971875
transcript.pyannote[832].end 5135.92034375
transcript.pyannote[833].speaker SPEAKER_15
transcript.pyannote[833].start 5135.92034375
transcript.pyannote[833].end 5137.94534375
transcript.pyannote[834].speaker SPEAKER_15
transcript.pyannote[834].start 5138.09721875
transcript.pyannote[834].end 5138.13096875
transcript.pyannote[835].speaker SPEAKER_39
transcript.pyannote[835].start 5138.13096875
transcript.pyannote[835].end 5138.41784375
transcript.pyannote[836].speaker SPEAKER_39
transcript.pyannote[836].start 5138.48534375
transcript.pyannote[836].end 5138.55284375
transcript.pyannote[837].speaker SPEAKER_15
transcript.pyannote[837].start 5138.55284375
transcript.pyannote[837].end 5141.69159375
transcript.pyannote[838].speaker SPEAKER_22
transcript.pyannote[838].start 5138.58659375
transcript.pyannote[838].end 5138.85659375
transcript.pyannote[839].speaker SPEAKER_15
transcript.pyannote[839].start 5142.01221875
transcript.pyannote[839].end 5142.53534375
transcript.pyannote[840].speaker SPEAKER_15
transcript.pyannote[840].start 5142.90659375
transcript.pyannote[840].end 5145.58971875
transcript.pyannote[841].speaker SPEAKER_03
transcript.pyannote[841].start 5144.35784375
transcript.pyannote[841].end 5149.52159375
transcript.pyannote[842].speaker SPEAKER_15
transcript.pyannote[842].start 5147.02409375
transcript.pyannote[842].end 5150.95596875
transcript.pyannote[843].speaker SPEAKER_03
transcript.pyannote[843].start 5150.46659375
transcript.pyannote[843].end 5153.38596875
transcript.pyannote[844].speaker SPEAKER_15
transcript.pyannote[844].start 5152.27221875
transcript.pyannote[844].end 5152.33971875
transcript.pyannote[845].speaker SPEAKER_15
transcript.pyannote[845].start 5152.40721875
transcript.pyannote[845].end 5156.49096875
transcript.pyannote[846].speaker SPEAKER_03
transcript.pyannote[846].start 5155.07346875
transcript.pyannote[846].end 5158.53284375
transcript.pyannote[847].speaker SPEAKER_15
transcript.pyannote[847].start 5157.09846875
transcript.pyannote[847].end 5157.73971875
transcript.pyannote[848].speaker SPEAKER_15
transcript.pyannote[848].start 5157.80721875
transcript.pyannote[848].end 5158.21221875
transcript.pyannote[849].speaker SPEAKER_15
transcript.pyannote[849].start 5158.53284375
transcript.pyannote[849].end 5159.68034375
transcript.pyannote[850].speaker SPEAKER_03
transcript.pyannote[850].start 5159.03909375
transcript.pyannote[850].end 5163.81471875
transcript.pyannote[851].speaker SPEAKER_15
transcript.pyannote[851].start 5161.40159375
transcript.pyannote[851].end 5161.97534375
transcript.pyannote[852].speaker SPEAKER_15
transcript.pyannote[852].start 5162.76846875
transcript.pyannote[852].end 5165.55284375
transcript.pyannote[853].speaker SPEAKER_15
transcript.pyannote[853].start 5166.05909375
transcript.pyannote[853].end 5167.93221875
transcript.pyannote[854].speaker SPEAKER_03
transcript.pyannote[854].start 5167.99971875
transcript.pyannote[854].end 5170.81784375
transcript.pyannote[855].speaker SPEAKER_15
transcript.pyannote[855].start 5170.04159375
transcript.pyannote[855].end 5173.78784375
transcript.pyannote[856].speaker SPEAKER_03
transcript.pyannote[856].start 5173.90596875
transcript.pyannote[856].end 5174.22659375
transcript.pyannote[857].speaker SPEAKER_39
transcript.pyannote[857].start 5174.22659375
transcript.pyannote[857].end 5174.24346875
transcript.pyannote[858].speaker SPEAKER_15
transcript.pyannote[858].start 5174.24346875
transcript.pyannote[858].end 5177.26409375
transcript.pyannote[859].speaker SPEAKER_03
transcript.pyannote[859].start 5175.61034375
transcript.pyannote[859].end 5175.62721875
transcript.pyannote[860].speaker SPEAKER_39
transcript.pyannote[860].start 5175.62721875
transcript.pyannote[860].end 5176.55534375
transcript.pyannote[861].speaker SPEAKER_15
transcript.pyannote[861].start 5177.68596875
transcript.pyannote[861].end 5178.44534375
transcript.pyannote[862].speaker SPEAKER_15
transcript.pyannote[862].start 5179.13721875
transcript.pyannote[862].end 5180.09909375
transcript.pyannote[863].speaker SPEAKER_15
transcript.pyannote[863].start 5180.72346875
transcript.pyannote[863].end 5182.83284375
transcript.pyannote[864].speaker SPEAKER_15
transcript.pyannote[864].start 5183.42346875
transcript.pyannote[864].end 5183.94659375
transcript.pyannote[865].speaker SPEAKER_15
transcript.pyannote[865].start 5184.40221875
transcript.pyannote[865].end 5188.24971875
transcript.pyannote[866].speaker SPEAKER_15
transcript.pyannote[866].start 5188.65471875
transcript.pyannote[866].end 5189.95409375
transcript.pyannote[867].speaker SPEAKER_15
transcript.pyannote[867].start 5190.54471875
transcript.pyannote[867].end 5190.57846875
transcript.pyannote[868].speaker SPEAKER_22
transcript.pyannote[868].start 5190.57846875
transcript.pyannote[868].end 5199.57284375
transcript.pyannote[869].speaker SPEAKER_15
transcript.pyannote[869].start 5199.67409375
transcript.pyannote[869].end 5200.46721875
transcript.pyannote[870].speaker SPEAKER_15
transcript.pyannote[870].start 5200.95659375
transcript.pyannote[870].end 5202.45846875
transcript.pyannote[871].speaker SPEAKER_22
transcript.pyannote[871].start 5201.12534375
transcript.pyannote[871].end 5201.76659375
transcript.pyannote[872].speaker SPEAKER_22
transcript.pyannote[872].start 5202.03659375
transcript.pyannote[872].end 5202.07034375
transcript.pyannote[873].speaker SPEAKER_22
transcript.pyannote[873].start 5202.45846875
transcript.pyannote[873].end 5202.81284375
transcript.pyannote[874].speaker SPEAKER_15
transcript.pyannote[874].start 5203.33596875
transcript.pyannote[874].end 5234.33534375
transcript.pyannote[875].speaker SPEAKER_22
transcript.pyannote[875].start 5204.19659375
transcript.pyannote[875].end 5205.36096875
transcript.pyannote[876].speaker SPEAKER_06
transcript.pyannote[876].start 5205.36096875
transcript.pyannote[876].end 5205.37784375
transcript.pyannote[877].speaker SPEAKER_22
transcript.pyannote[877].start 5209.42784375
transcript.pyannote[877].end 5209.71471875
transcript.pyannote[878].speaker SPEAKER_22
transcript.pyannote[878].start 5210.76096875
transcript.pyannote[878].end 5212.24596875
transcript.pyannote[879].speaker SPEAKER_22
transcript.pyannote[879].start 5230.58909375
transcript.pyannote[879].end 5232.02346875
transcript.pyannote[880].speaker SPEAKER_35
transcript.pyannote[880].start 5232.02346875
transcript.pyannote[880].end 5232.44534375
transcript.pyannote[881].speaker SPEAKER_22
transcript.pyannote[881].start 5232.44534375
transcript.pyannote[881].end 5232.66471875
transcript.pyannote[882].speaker SPEAKER_35
transcript.pyannote[882].start 5232.66471875
transcript.pyannote[882].end 5232.68159375
transcript.pyannote[883].speaker SPEAKER_22
transcript.pyannote[883].start 5232.68159375
transcript.pyannote[883].end 5232.76596875
transcript.pyannote[884].speaker SPEAKER_16
transcript.pyannote[884].start 5232.76596875
transcript.pyannote[884].end 5232.85034375
transcript.pyannote[885].speaker SPEAKER_22
transcript.pyannote[885].start 5232.98534375
transcript.pyannote[885].end 5233.20471875
transcript.pyannote[886].speaker SPEAKER_35
transcript.pyannote[886].start 5233.20471875
transcript.pyannote[886].end 5233.32284375
transcript.pyannote[887].speaker SPEAKER_15
transcript.pyannote[887].start 5235.17909375
transcript.pyannote[887].end 5236.27596875
transcript.pyannote[888].speaker SPEAKER_35
transcript.pyannote[888].start 5235.19596875
transcript.pyannote[888].end 5235.58409375
transcript.pyannote[889].speaker SPEAKER_35
transcript.pyannote[889].start 5236.41096875
transcript.pyannote[889].end 5237.86221875
transcript.pyannote[890].speaker SPEAKER_15
transcript.pyannote[890].start 5237.01846875
transcript.pyannote[890].end 5237.76096875
transcript.pyannote[891].speaker SPEAKER_35
transcript.pyannote[891].start 5238.40221875
transcript.pyannote[891].end 5240.37659375
transcript.pyannote[892].speaker SPEAKER_35
transcript.pyannote[892].start 5241.00096875
transcript.pyannote[892].end 5247.59909375
transcript.pyannote[893].speaker SPEAKER_15
transcript.pyannote[893].start 5247.22784375
transcript.pyannote[893].end 5247.43034375
transcript.pyannote[894].speaker SPEAKER_15
transcript.pyannote[894].start 5247.59909375
transcript.pyannote[894].end 5248.03784375
transcript.pyannote[895].speaker SPEAKER_35
transcript.pyannote[895].start 5248.03784375
transcript.pyannote[895].end 5249.74221875
transcript.pyannote[896].speaker SPEAKER_35
transcript.pyannote[896].start 5250.31596875
transcript.pyannote[896].end 5260.64346875
transcript.pyannote[897].speaker SPEAKER_35
transcript.pyannote[897].start 5260.77846875
transcript.pyannote[897].end 5267.41034375
transcript.pyannote[898].speaker SPEAKER_15
transcript.pyannote[898].start 5263.78221875
transcript.pyannote[898].end 5264.54159375
transcript.pyannote[899].speaker SPEAKER_15
transcript.pyannote[899].start 5264.99721875
transcript.pyannote[899].end 5265.95909375
transcript.pyannote[900].speaker SPEAKER_15
transcript.pyannote[900].start 5266.19534375
transcript.pyannote[900].end 5267.49471875
transcript.pyannote[901].speaker SPEAKER_35
transcript.pyannote[901].start 5268.00096875
transcript.pyannote[901].end 5268.03471875
transcript.pyannote[902].speaker SPEAKER_15
transcript.pyannote[902].start 5268.03471875
transcript.pyannote[902].end 5272.01721875
transcript.pyannote[903].speaker SPEAKER_35
transcript.pyannote[903].start 5268.79409375
transcript.pyannote[903].end 5270.29596875
transcript.pyannote[904].speaker SPEAKER_35
transcript.pyannote[904].start 5270.88659375
transcript.pyannote[904].end 5271.69659375
transcript.pyannote[905].speaker SPEAKER_15
transcript.pyannote[905].start 5272.40534375
transcript.pyannote[905].end 5275.61159375
transcript.pyannote[906].speaker SPEAKER_15
transcript.pyannote[906].start 5276.25284375
transcript.pyannote[906].end 5277.38346875
transcript.pyannote[907].speaker SPEAKER_15
transcript.pyannote[907].start 5277.72096875
transcript.pyannote[907].end 5280.97784375
transcript.pyannote[908].speaker SPEAKER_35
transcript.pyannote[908].start 5281.16346875
transcript.pyannote[908].end 5285.50034375
transcript.pyannote[909].speaker SPEAKER_15
transcript.pyannote[909].start 5281.75409375
transcript.pyannote[909].end 5282.78346875
transcript.pyannote[910].speaker SPEAKER_15
transcript.pyannote[910].start 5285.34846875
transcript.pyannote[910].end 5286.71534375
transcript.pyannote[911].speaker SPEAKER_35
transcript.pyannote[911].start 5286.71534375
transcript.pyannote[911].end 5296.19909375
transcript.pyannote[912].speaker SPEAKER_15
transcript.pyannote[912].start 5288.77409375
transcript.pyannote[912].end 5291.28846875
transcript.pyannote[913].speaker SPEAKER_15
transcript.pyannote[913].start 5291.94659375
transcript.pyannote[913].end 5292.97596875
transcript.pyannote[914].speaker SPEAKER_00
transcript.pyannote[914].start 5292.97596875
transcript.pyannote[914].end 5293.26284375
transcript.pyannote[915].speaker SPEAKER_06
transcript.pyannote[915].start 5295.30471875
transcript.pyannote[915].end 5296.03034375
transcript.pyannote[916].speaker SPEAKER_35
transcript.pyannote[916].start 5296.40159375
transcript.pyannote[916].end 5305.09221875
transcript.pyannote[917].speaker SPEAKER_15
transcript.pyannote[917].start 5298.49409375
transcript.pyannote[917].end 5299.57409375
transcript.pyannote[918].speaker SPEAKER_15
transcript.pyannote[918].start 5303.80971875
transcript.pyannote[918].end 5307.20159375
transcript.pyannote[919].speaker SPEAKER_15
transcript.pyannote[919].start 5307.62346875
transcript.pyannote[919].end 5321.07284375
transcript.pyannote[920].speaker SPEAKER_35
transcript.pyannote[920].start 5321.29221875
transcript.pyannote[920].end 5322.67596875
transcript.pyannote[921].speaker SPEAKER_15
transcript.pyannote[921].start 5321.83221875
transcript.pyannote[921].end 5322.18659375
transcript.pyannote[922].speaker SPEAKER_35
transcript.pyannote[922].start 5323.06409375
transcript.pyannote[922].end 5332.98659375
transcript.pyannote[923].speaker SPEAKER_15
transcript.pyannote[923].start 5333.12159375
transcript.pyannote[923].end 5334.28596875
transcript.pyannote[924].speaker SPEAKER_35
transcript.pyannote[924].start 5333.98221875
transcript.pyannote[924].end 5334.31971875
transcript.pyannote[925].speaker SPEAKER_15
transcript.pyannote[925].start 5334.31971875
transcript.pyannote[925].end 5335.09596875
transcript.pyannote[926].speaker SPEAKER_35
transcript.pyannote[926].start 5335.09596875
transcript.pyannote[926].end 5337.35721875
transcript.pyannote[927].speaker SPEAKER_15
transcript.pyannote[927].start 5335.14659375
transcript.pyannote[927].end 5335.88909375
transcript.pyannote[928].speaker SPEAKER_35
transcript.pyannote[928].start 5337.94784375
transcript.pyannote[928].end 5344.88346875
transcript.pyannote[929].speaker SPEAKER_15
transcript.pyannote[929].start 5338.13346875
transcript.pyannote[929].end 5341.13721875
transcript.pyannote[930].speaker SPEAKER_15
transcript.pyannote[930].start 5341.18784375
transcript.pyannote[930].end 5341.98096875
transcript.pyannote[931].speaker SPEAKER_35
transcript.pyannote[931].start 5345.11971875
transcript.pyannote[931].end 5348.73096875
transcript.pyannote[932].speaker SPEAKER_35
transcript.pyannote[932].start 5349.11909375
transcript.pyannote[932].end 5357.33721875
transcript.pyannote[933].speaker SPEAKER_15
transcript.pyannote[933].start 5357.33721875
transcript.pyannote[933].end 5363.04096875
transcript.pyannote[934].speaker SPEAKER_35
transcript.pyannote[934].start 5357.35409375
transcript.pyannote[934].end 5357.42159375
transcript.pyannote[935].speaker SPEAKER_35
transcript.pyannote[935].start 5357.86034375
transcript.pyannote[935].end 5357.87721875
transcript.pyannote[936].speaker SPEAKER_35
transcript.pyannote[936].start 5357.91096875
transcript.pyannote[936].end 5357.97846875
transcript.pyannote[937].speaker SPEAKER_35
transcript.pyannote[937].start 5360.49284375
transcript.pyannote[937].end 5360.93159375
transcript.pyannote[938].speaker SPEAKER_35
transcript.pyannote[938].start 5361.16784375
transcript.pyannote[938].end 5383.40909375
transcript.pyannote[939].speaker SPEAKER_06
transcript.pyannote[939].start 5364.84659375
transcript.pyannote[939].end 5365.08284375
transcript.pyannote[940].speaker SPEAKER_39
transcript.pyannote[940].start 5365.08284375
transcript.pyannote[940].end 5365.36971875
transcript.pyannote[941].speaker SPEAKER_06
transcript.pyannote[941].start 5369.47034375
transcript.pyannote[941].end 5369.95971875
transcript.pyannote[942].speaker SPEAKER_06
transcript.pyannote[942].start 5370.97221875
transcript.pyannote[942].end 5371.96784375
transcript.pyannote[943].speaker SPEAKER_15
transcript.pyannote[943].start 5371.96784375
transcript.pyannote[943].end 5372.38971875
transcript.pyannote[944].speaker SPEAKER_06
transcript.pyannote[944].start 5372.38971875
transcript.pyannote[944].end 5372.47409375
transcript.pyannote[945].speaker SPEAKER_15
transcript.pyannote[945].start 5377.99221875
transcript.pyannote[945].end 5378.41409375
transcript.pyannote[946].speaker SPEAKER_15
transcript.pyannote[946].start 5378.80221875
transcript.pyannote[946].end 5379.42659375
transcript.pyannote[947].speaker SPEAKER_15
transcript.pyannote[947].start 5383.18971875
transcript.pyannote[947].end 5383.25721875
transcript.pyannote[948].speaker SPEAKER_15
transcript.pyannote[948].start 5383.40909375
transcript.pyannote[948].end 5392.01534375
transcript.pyannote[949].speaker SPEAKER_35
transcript.pyannote[949].start 5390.64846875
transcript.pyannote[949].end 5393.04471875
transcript.pyannote[950].speaker SPEAKER_15
transcript.pyannote[950].start 5393.04471875
transcript.pyannote[950].end 5393.24721875
transcript.pyannote[951].speaker SPEAKER_15
transcript.pyannote[951].start 5393.33159375
transcript.pyannote[951].end 5397.80346875
transcript.pyannote[952].speaker SPEAKER_35
transcript.pyannote[952].start 5397.12846875
transcript.pyannote[952].end 5401.02659375
transcript.pyannote[953].speaker SPEAKER_15
transcript.pyannote[953].start 5398.44471875
transcript.pyannote[953].end 5400.70596875
transcript.pyannote[954].speaker SPEAKER_35
transcript.pyannote[954].start 5401.70159375
transcript.pyannote[954].end 5407.77659375
transcript.pyannote[955].speaker SPEAKER_15
transcript.pyannote[955].start 5407.50659375
transcript.pyannote[955].end 5410.15596875
transcript.pyannote[956].speaker SPEAKER_15
transcript.pyannote[956].start 5411.10096875
transcript.pyannote[956].end 5412.33284375
transcript.pyannote[957].speaker SPEAKER_35
transcript.pyannote[957].start 5412.77159375
transcript.pyannote[957].end 5412.95721875
transcript.pyannote[958].speaker SPEAKER_35
transcript.pyannote[958].start 5413.05846875
transcript.pyannote[958].end 5413.07534375
transcript.pyannote[959].speaker SPEAKER_22
transcript.pyannote[959].start 5413.07534375
transcript.pyannote[959].end 5414.08784375
transcript.pyannote[960].speaker SPEAKER_15
transcript.pyannote[960].start 5413.96971875
transcript.pyannote[960].end 5414.07096875
transcript.pyannote[961].speaker SPEAKER_15
transcript.pyannote[961].start 5414.08784375
transcript.pyannote[961].end 5414.47596875
transcript.pyannote[962].speaker SPEAKER_15
transcript.pyannote[962].start 5414.96534375
transcript.pyannote[962].end 5414.98221875
transcript.pyannote[963].speaker SPEAKER_22
transcript.pyannote[963].start 5414.98221875
transcript.pyannote[963].end 5415.11721875
transcript.pyannote[964].speaker SPEAKER_15
transcript.pyannote[964].start 5415.11721875
transcript.pyannote[964].end 5415.47159375
transcript.pyannote[965].speaker SPEAKER_22
transcript.pyannote[965].start 5415.15096875
transcript.pyannote[965].end 5416.02846875
transcript.pyannote[966].speaker SPEAKER_22
transcript.pyannote[966].start 5416.36596875
transcript.pyannote[966].end 5422.32284375
transcript.pyannote[967].speaker SPEAKER_15
transcript.pyannote[967].start 5416.77096875
transcript.pyannote[967].end 5417.31096875
transcript.pyannote[968].speaker SPEAKER_15
transcript.pyannote[968].start 5418.52596875
transcript.pyannote[968].end 5418.94784375
transcript.pyannote[969].speaker SPEAKER_15
transcript.pyannote[969].start 5419.75784375
transcript.pyannote[969].end 5430.92909375
transcript.pyannote[970].speaker SPEAKER_15
transcript.pyannote[970].start 5431.14846875
transcript.pyannote[970].end 5431.38471875
transcript.pyannote[971].speaker SPEAKER_22
transcript.pyannote[971].start 5431.63784375
transcript.pyannote[971].end 5431.65471875
transcript.pyannote[972].speaker SPEAKER_15
transcript.pyannote[972].start 5431.65471875
transcript.pyannote[972].end 5431.68846875
transcript.pyannote[973].speaker SPEAKER_35
transcript.pyannote[973].start 5431.68846875
transcript.pyannote[973].end 5431.82346875
transcript.pyannote[974].speaker SPEAKER_15
transcript.pyannote[974].start 5431.82346875
transcript.pyannote[974].end 5432.65034375
transcript.pyannote[975].speaker SPEAKER_35
transcript.pyannote[975].start 5432.65034375
transcript.pyannote[975].end 5432.66721875
transcript.pyannote[976].speaker SPEAKER_22
transcript.pyannote[976].start 5432.66721875
transcript.pyannote[976].end 5432.70096875
transcript.pyannote[977].speaker SPEAKER_35
transcript.pyannote[977].start 5432.78534375
transcript.pyannote[977].end 5433.03846875
transcript.pyannote[978].speaker SPEAKER_35
transcript.pyannote[978].start 5433.69659375
transcript.pyannote[978].end 5434.75971875
transcript.pyannote[979].speaker SPEAKER_15
transcript.pyannote[979].start 5435.97471875
transcript.pyannote[979].end 5436.02534375
transcript.pyannote[980].speaker SPEAKER_15
transcript.pyannote[980].start 5436.04221875
transcript.pyannote[980].end 5436.27846875
transcript.pyannote[981].speaker SPEAKER_15
transcript.pyannote[981].start 5437.20659375
transcript.pyannote[981].end 5442.38721875
transcript.pyannote[982].speaker SPEAKER_17
transcript.pyannote[982].start 5443.61909375
transcript.pyannote[982].end 5445.17159375
transcript.pyannote[983].speaker SPEAKER_17
transcript.pyannote[983].start 5445.55971875
transcript.pyannote[983].end 5446.03221875
transcript.pyannote[984].speaker SPEAKER_17
transcript.pyannote[984].start 5448.66471875
transcript.pyannote[984].end 5450.47034375
transcript.pyannote[985].speaker SPEAKER_09
transcript.pyannote[985].start 5461.89471875
transcript.pyannote[985].end 5467.51409375
transcript.pyannote[986].speaker SPEAKER_09
transcript.pyannote[986].start 5474.01096875
transcript.pyannote[986].end 5475.27659375
transcript.pyannote[987].speaker SPEAKER_09
transcript.pyannote[987].start 5475.58034375
transcript.pyannote[987].end 5477.25096875
transcript.pyannote[988].speaker SPEAKER_17
transcript.pyannote[988].start 5478.55034375
transcript.pyannote[988].end 5479.37721875
transcript.pyannote[989].speaker SPEAKER_09
transcript.pyannote[989].start 5479.54596875
transcript.pyannote[989].end 5480.54159375
transcript.pyannote[990].speaker SPEAKER_09
transcript.pyannote[990].start 5480.62596875
transcript.pyannote[990].end 5499.72846875
transcript.pyannote[991].speaker SPEAKER_17
transcript.pyannote[991].start 5480.67659375
transcript.pyannote[991].end 5481.43596875
transcript.pyannote[992].speaker SPEAKER_09
transcript.pyannote[992].start 5499.99846875
transcript.pyannote[992].end 5511.38909375
transcript.pyannote[993].speaker SPEAKER_05
transcript.pyannote[993].start 5511.54096875
transcript.pyannote[993].end 5518.67909375
transcript.pyannote[994].speaker SPEAKER_05
transcript.pyannote[994].start 5519.03346875
transcript.pyannote[994].end 5536.81971875
transcript.pyannote[995].speaker SPEAKER_09
transcript.pyannote[995].start 5536.70159375
transcript.pyannote[995].end 5538.43971875
transcript.pyannote[996].speaker SPEAKER_05
transcript.pyannote[996].start 5538.30471875
transcript.pyannote[996].end 5540.70096875
transcript.pyannote[997].speaker SPEAKER_09
transcript.pyannote[997].start 5538.54096875
transcript.pyannote[997].end 5540.14409375
transcript.pyannote[998].speaker SPEAKER_09
transcript.pyannote[998].start 5540.24534375
transcript.pyannote[998].end 5542.65846875
transcript.pyannote[999].speaker SPEAKER_05
transcript.pyannote[999].start 5542.27034375
transcript.pyannote[999].end 5542.70909375
transcript.pyannote[1000].speaker SPEAKER_05
transcript.pyannote[1000].start 5543.09721875
transcript.pyannote[1000].end 5551.11284375
transcript.pyannote[1001].speaker SPEAKER_05
transcript.pyannote[1001].start 5551.36596875
transcript.pyannote[1001].end 5560.42784375
transcript.pyannote[1002].speaker SPEAKER_00
transcript.pyannote[1002].start 5556.46221875
transcript.pyannote[1002].end 5556.96846875
transcript.pyannote[1003].speaker SPEAKER_00
transcript.pyannote[1003].start 5557.86284375
transcript.pyannote[1003].end 5557.94721875
transcript.pyannote[1004].speaker SPEAKER_39
transcript.pyannote[1004].start 5557.94721875
transcript.pyannote[1004].end 5558.18346875
transcript.pyannote[1005].speaker SPEAKER_00
transcript.pyannote[1005].start 5558.18346875
transcript.pyannote[1005].end 5558.20034375
transcript.pyannote[1006].speaker SPEAKER_05
transcript.pyannote[1006].start 5561.40659375
transcript.pyannote[1006].end 5562.63846875
transcript.pyannote[1007].speaker SPEAKER_05
transcript.pyannote[1007].start 5562.82409375
transcript.pyannote[1007].end 5580.84659375
transcript.pyannote[1008].speaker SPEAKER_09
transcript.pyannote[1008].start 5580.15471875
transcript.pyannote[1008].end 5581.33596875
transcript.pyannote[1009].speaker SPEAKER_09
transcript.pyannote[1009].start 5581.60596875
transcript.pyannote[1009].end 5623.79346875
transcript.pyannote[1010].speaker SPEAKER_05
transcript.pyannote[1010].start 5587.41096875
transcript.pyannote[1010].end 5587.42784375
transcript.pyannote[1011].speaker SPEAKER_02
transcript.pyannote[1011].start 5587.42784375
transcript.pyannote[1011].end 5587.91721875
transcript.pyannote[1012].speaker SPEAKER_02
transcript.pyannote[1012].start 5611.64346875
transcript.pyannote[1012].end 5611.96409375
transcript.pyannote[1013].speaker SPEAKER_00
transcript.pyannote[1013].start 5611.96409375
transcript.pyannote[1013].end 5612.43659375
transcript.pyannote[1014].speaker SPEAKER_00
transcript.pyannote[1014].start 5613.88784375
transcript.pyannote[1014].end 5614.47846875
transcript.pyannote[1015].speaker SPEAKER_09
transcript.pyannote[1015].start 5623.94534375
transcript.pyannote[1015].end 5625.64971875
transcript.pyannote[1016].speaker SPEAKER_09
transcript.pyannote[1016].start 5625.78471875
transcript.pyannote[1016].end 5631.87659375
transcript.pyannote[1017].speaker SPEAKER_09
transcript.pyannote[1017].start 5632.04534375
transcript.pyannote[1017].end 5632.97346875
transcript.pyannote[1018].speaker SPEAKER_09
transcript.pyannote[1018].start 5633.24346875
transcript.pyannote[1018].end 5649.24096875
transcript.pyannote[1019].speaker SPEAKER_08
transcript.pyannote[1019].start 5636.48346875
transcript.pyannote[1019].end 5636.85471875
transcript.pyannote[1020].speaker SPEAKER_00
transcript.pyannote[1020].start 5636.85471875
transcript.pyannote[1020].end 5636.92221875
transcript.pyannote[1021].speaker SPEAKER_09
transcript.pyannote[1021].start 5649.59534375
transcript.pyannote[1021].end 5655.43409375
transcript.pyannote[1022].speaker SPEAKER_09
transcript.pyannote[1022].start 5655.55221875
transcript.pyannote[1022].end 5664.68159375
transcript.pyannote[1023].speaker SPEAKER_09
transcript.pyannote[1023].start 5664.88409375
transcript.pyannote[1023].end 5671.68471875
transcript.pyannote[1024].speaker SPEAKER_09
transcript.pyannote[1024].start 5671.83659375
transcript.pyannote[1024].end 5672.79846875
transcript.pyannote[1025].speaker SPEAKER_09
transcript.pyannote[1025].start 5673.18659375
transcript.pyannote[1025].end 5684.02034375
transcript.pyannote[1026].speaker SPEAKER_09
transcript.pyannote[1026].start 5684.81346875
transcript.pyannote[1026].end 5685.20159375
transcript.pyannote[1027].speaker SPEAKER_09
transcript.pyannote[1027].start 5685.64034375
transcript.pyannote[1027].end 5689.92659375
transcript.pyannote[1028].speaker SPEAKER_09
transcript.pyannote[1028].start 5690.61846875
transcript.pyannote[1028].end 5695.02284375
transcript.pyannote[1029].speaker SPEAKER_09
transcript.pyannote[1029].start 5695.83284375
transcript.pyannote[1029].end 5697.09846875
transcript.pyannote[1030].speaker SPEAKER_09
transcript.pyannote[1030].start 5697.28409375
transcript.pyannote[1030].end 5701.30034375
transcript.pyannote[1031].speaker SPEAKER_09
transcript.pyannote[1031].start 5701.95846875
transcript.pyannote[1031].end 5703.81471875
transcript.pyannote[1032].speaker SPEAKER_09
transcript.pyannote[1032].start 5704.30409375
transcript.pyannote[1032].end 5706.61596875
transcript.pyannote[1033].speaker SPEAKER_09
transcript.pyannote[1033].start 5707.30784375
transcript.pyannote[1033].end 5708.52284375
transcript.pyannote[1034].speaker SPEAKER_09
transcript.pyannote[1034].start 5708.92784375
transcript.pyannote[1034].end 5714.02409375
transcript.pyannote[1035].speaker SPEAKER_09
transcript.pyannote[1035].start 5714.29409375
transcript.pyannote[1035].end 5716.18409375
transcript.pyannote[1036].speaker SPEAKER_09
transcript.pyannote[1036].start 5716.94346875
transcript.pyannote[1036].end 5719.45784375
transcript.pyannote[1037].speaker SPEAKER_09
transcript.pyannote[1037].start 5720.52096875
transcript.pyannote[1037].end 5722.83284375
transcript.pyannote[1038].speaker SPEAKER_09
transcript.pyannote[1038].start 5724.35159375
transcript.pyannote[1038].end 5727.81096875
transcript.pyannote[1039].speaker SPEAKER_09
transcript.pyannote[1039].start 5728.67159375
transcript.pyannote[1039].end 5729.81909375
transcript.pyannote[1040].speaker SPEAKER_09
transcript.pyannote[1040].start 5730.52784375
transcript.pyannote[1040].end 5737.88534375
transcript.pyannote[1041].speaker SPEAKER_09
transcript.pyannote[1041].start 5739.52221875
transcript.pyannote[1041].end 5742.22221875
transcript.pyannote[1042].speaker SPEAKER_09
transcript.pyannote[1042].start 5742.64409375
transcript.pyannote[1042].end 5744.65221875
transcript.pyannote[1043].speaker SPEAKER_09
transcript.pyannote[1043].start 5745.58034375
transcript.pyannote[1043].end 5745.93471875
transcript.pyannote[1044].speaker SPEAKER_09
transcript.pyannote[1044].start 5746.50846875
transcript.pyannote[1044].end 5751.16596875
transcript.pyannote[1045].speaker SPEAKER_09
transcript.pyannote[1045].start 5751.58784375
transcript.pyannote[1045].end 5753.91659375
transcript.pyannote[1046].speaker SPEAKER_09
transcript.pyannote[1046].start 5754.33846875
transcript.pyannote[1046].end 5756.43096875
transcript.pyannote[1047].speaker SPEAKER_09
transcript.pyannote[1047].start 5756.66721875
transcript.pyannote[1047].end 5758.70909375
transcript.pyannote[1048].speaker SPEAKER_09
transcript.pyannote[1048].start 5759.29971875
transcript.pyannote[1048].end 5770.09971875
transcript.pyannote[1049].speaker SPEAKER_09
transcript.pyannote[1049].start 5770.82534375
transcript.pyannote[1049].end 5773.42409375
transcript.pyannote[1050].speaker SPEAKER_09
transcript.pyannote[1050].start 5773.49159375
transcript.pyannote[1050].end 5776.91721875
transcript.pyannote[1051].speaker SPEAKER_09
transcript.pyannote[1051].start 5776.98471875
transcript.pyannote[1051].end 5778.35159375
transcript.pyannote[1052].speaker SPEAKER_09
transcript.pyannote[1052].start 5779.22909375
transcript.pyannote[1052].end 5780.03909375
transcript.pyannote[1053].speaker SPEAKER_09
transcript.pyannote[1053].start 5782.13159375
transcript.pyannote[1053].end 5782.65471875
transcript.pyannote[1054].speaker SPEAKER_09
transcript.pyannote[1054].start 5783.00909375
transcript.pyannote[1054].end 5785.13534375
transcript.pyannote[1055].speaker SPEAKER_40
transcript.pyannote[1055].start 5785.13534375
transcript.pyannote[1055].end 5785.18596875
transcript.pyannote[1056].speaker SPEAKER_09
transcript.pyannote[1056].start 5785.18596875
transcript.pyannote[1056].end 5786.70471875
transcript.pyannote[1057].speaker SPEAKER_09
transcript.pyannote[1057].start 5787.54846875
transcript.pyannote[1057].end 5808.97971875
transcript.pyannote[1058].speaker SPEAKER_09
transcript.pyannote[1058].start 5809.60409375
transcript.pyannote[1058].end 5811.98346875
transcript.pyannote[1059].speaker SPEAKER_09
transcript.pyannote[1059].start 5813.48534375
transcript.pyannote[1059].end 5814.86909375
transcript.pyannote[1060].speaker SPEAKER_09
transcript.pyannote[1060].start 5816.21909375
transcript.pyannote[1060].end 5816.48909375
transcript.pyannote[1061].speaker SPEAKER_09
transcript.pyannote[1061].start 5816.57346875
transcript.pyannote[1061].end 5820.26909375
transcript.pyannote[1062].speaker SPEAKER_40
transcript.pyannote[1062].start 5818.05846875
transcript.pyannote[1062].end 5818.07534375
transcript.pyannote[1063].speaker SPEAKER_03
transcript.pyannote[1063].start 5818.07534375
transcript.pyannote[1063].end 5820.15096875
transcript.pyannote[1064].speaker SPEAKER_40
transcript.pyannote[1064].start 5820.23534375
transcript.pyannote[1064].end 5820.25221875
transcript.pyannote[1065].speaker SPEAKER_03
transcript.pyannote[1065].start 5820.26909375
transcript.pyannote[1065].end 5820.60659375
transcript.pyannote[1066].speaker SPEAKER_09
transcript.pyannote[1066].start 5821.02846875
transcript.pyannote[1066].end 5823.34034375
transcript.pyannote[1067].speaker SPEAKER_03
transcript.pyannote[1067].start 5823.50909375
transcript.pyannote[1067].end 5852.87159375
transcript.pyannote[1068].speaker SPEAKER_03
transcript.pyannote[1068].start 5852.98971875
transcript.pyannote[1068].end 5855.68971875
transcript.pyannote[1069].speaker SPEAKER_09
transcript.pyannote[1069].start 5855.33534375
transcript.pyannote[1069].end 5859.82409375
transcript.pyannote[1070].speaker SPEAKER_09
transcript.pyannote[1070].start 5860.04346875
transcript.pyannote[1070].end 5874.67409375
transcript.pyannote[1071].speaker SPEAKER_03
transcript.pyannote[1071].start 5865.73034375
transcript.pyannote[1071].end 5866.82721875
transcript.pyannote[1072].speaker SPEAKER_03
transcript.pyannote[1072].start 5868.49784375
transcript.pyannote[1072].end 5868.83534375
transcript.pyannote[1073].speaker SPEAKER_03
transcript.pyannote[1073].start 5874.26909375
transcript.pyannote[1073].end 5875.14659375
transcript.pyannote[1074].speaker SPEAKER_09
transcript.pyannote[1074].start 5875.73721875
transcript.pyannote[1074].end 5882.92596875
transcript.pyannote[1075].speaker SPEAKER_03
transcript.pyannote[1075].start 5882.70659375
transcript.pyannote[1075].end 5890.01346875
transcript.pyannote[1076].speaker SPEAKER_09
transcript.pyannote[1076].start 5888.52846875
transcript.pyannote[1076].end 5891.38034375
transcript.pyannote[1077].speaker SPEAKER_03
transcript.pyannote[1077].start 5890.92471875
transcript.pyannote[1077].end 5893.70909375
transcript.pyannote[1078].speaker SPEAKER_09
transcript.pyannote[1078].start 5892.30846875
transcript.pyannote[1078].end 5896.44284375
transcript.pyannote[1079].speaker SPEAKER_03
transcript.pyannote[1079].start 5896.03784375
transcript.pyannote[1079].end 5934.88409375
transcript.pyannote[1080].speaker SPEAKER_09
transcript.pyannote[1080].start 5932.47096875
transcript.pyannote[1080].end 5932.50471875
transcript.pyannote[1081].speaker SPEAKER_40
transcript.pyannote[1081].start 5932.50471875
transcript.pyannote[1081].end 5932.62284375
transcript.pyannote[1082].speaker SPEAKER_09
transcript.pyannote[1082].start 5932.62284375
transcript.pyannote[1082].end 5932.80846875
transcript.pyannote[1083].speaker SPEAKER_40
transcript.pyannote[1083].start 5932.80846875
transcript.pyannote[1083].end 5932.87596875
transcript.pyannote[1084].speaker SPEAKER_09
transcript.pyannote[1084].start 5932.87596875
transcript.pyannote[1084].end 5932.89284375
transcript.pyannote[1085].speaker SPEAKER_03
transcript.pyannote[1085].start 5935.23846875
transcript.pyannote[1085].end 5938.73159375
transcript.pyannote[1086].speaker SPEAKER_09
transcript.pyannote[1086].start 5935.40721875
transcript.pyannote[1086].end 5936.85846875
transcript.pyannote[1087].speaker SPEAKER_09
transcript.pyannote[1087].start 5938.73159375
transcript.pyannote[1087].end 5949.14346875
transcript.pyannote[1088].speaker SPEAKER_03
transcript.pyannote[1088].start 5942.61284375
transcript.pyannote[1088].end 5945.61659375
transcript.pyannote[1089].speaker SPEAKER_09
transcript.pyannote[1089].start 5949.27846875
transcript.pyannote[1089].end 5950.94909375
transcript.pyannote[1090].speaker SPEAKER_09
transcript.pyannote[1090].start 5951.32034375
transcript.pyannote[1090].end 5953.00784375
transcript.pyannote[1091].speaker SPEAKER_09
transcript.pyannote[1091].start 5953.58159375
transcript.pyannote[1091].end 5955.92721875
transcript.pyannote[1092].speaker SPEAKER_09
transcript.pyannote[1092].start 5956.43346875
transcript.pyannote[1092].end 5964.93846875
transcript.pyannote[1093].speaker SPEAKER_09
transcript.pyannote[1093].start 5965.96784375
transcript.pyannote[1093].end 5968.61721875
transcript.pyannote[1094].speaker SPEAKER_09
transcript.pyannote[1094].start 5969.03909375
transcript.pyannote[1094].end 5975.97471875
transcript.pyannote[1095].speaker SPEAKER_09
transcript.pyannote[1095].start 5976.36284375
transcript.pyannote[1095].end 5989.67721875
transcript.pyannote[1096].speaker SPEAKER_09
transcript.pyannote[1096].start 5990.18346875
transcript.pyannote[1096].end 5990.67284375
transcript.pyannote[1097].speaker SPEAKER_09
transcript.pyannote[1097].start 5991.17909375
transcript.pyannote[1097].end 6009.13409375
transcript.pyannote[1098].speaker SPEAKER_09
transcript.pyannote[1098].start 6009.45471875
transcript.pyannote[1098].end 6027.07221875
transcript.pyannote[1099].speaker SPEAKER_09
transcript.pyannote[1099].start 6027.76409375
transcript.pyannote[1099].end 6037.99034375
transcript.pyannote[1100].speaker SPEAKER_22
transcript.pyannote[1100].start 6038.04096875
transcript.pyannote[1100].end 6049.27971875
transcript.pyannote[1101].speaker SPEAKER_09
transcript.pyannote[1101].start 6049.41471875
transcript.pyannote[1101].end 6050.52846875
transcript.pyannote[1102].speaker SPEAKER_09
transcript.pyannote[1102].start 6050.66346875
transcript.pyannote[1102].end 6056.83971875
transcript.pyannote[1103].speaker SPEAKER_09
transcript.pyannote[1103].start 6057.05909375
transcript.pyannote[1103].end 6057.98721875
transcript.pyannote[1104].speaker SPEAKER_09
transcript.pyannote[1104].start 6059.08409375
transcript.pyannote[1104].end 6065.09159375
transcript.pyannote[1105].speaker SPEAKER_22
transcript.pyannote[1105].start 6065.26034375
transcript.pyannote[1105].end 6067.67346875
transcript.pyannote[1106].speaker SPEAKER_09
transcript.pyannote[1106].start 6066.91409375
transcript.pyannote[1106].end 6069.24284375
transcript.pyannote[1107].speaker SPEAKER_09
transcript.pyannote[1107].start 6069.54659375
transcript.pyannote[1107].end 6072.28034375
transcript.pyannote[1108].speaker SPEAKER_09
transcript.pyannote[1108].start 6072.68534375
transcript.pyannote[1108].end 6079.08096875
transcript.pyannote[1109].speaker SPEAKER_09
transcript.pyannote[1109].start 6079.53659375
transcript.pyannote[1109].end 6080.44784375
transcript.pyannote[1110].speaker SPEAKER_09
transcript.pyannote[1110].start 6081.07221875
transcript.pyannote[1110].end 6084.02534375
transcript.pyannote[1111].speaker SPEAKER_09
transcript.pyannote[1111].start 6084.51471875
transcript.pyannote[1111].end 6085.32471875
transcript.pyannote[1112].speaker SPEAKER_09
transcript.pyannote[1112].start 6085.62846875
transcript.pyannote[1112].end 6086.38784375
transcript.pyannote[1113].speaker SPEAKER_09
transcript.pyannote[1113].start 6087.19784375
transcript.pyannote[1113].end 6088.09221875
transcript.pyannote[1114].speaker SPEAKER_09
transcript.pyannote[1114].start 6089.03721875
transcript.pyannote[1114].end 6094.92659375
transcript.pyannote[1115].speaker SPEAKER_08
transcript.pyannote[1115].start 6092.95221875
transcript.pyannote[1115].end 6093.00284375
transcript.pyannote[1116].speaker SPEAKER_39
transcript.pyannote[1116].start 6093.00284375
transcript.pyannote[1116].end 6093.03659375
transcript.pyannote[1117].speaker SPEAKER_08
transcript.pyannote[1117].start 6093.03659375
transcript.pyannote[1117].end 6093.57659375
transcript.pyannote[1118].speaker SPEAKER_39
transcript.pyannote[1118].start 6093.82971875
transcript.pyannote[1118].end 6093.84659375
transcript.pyannote[1119].speaker SPEAKER_08
transcript.pyannote[1119].start 6093.84659375
transcript.pyannote[1119].end 6094.30221875
transcript.pyannote[1120].speaker SPEAKER_39
transcript.pyannote[1120].start 6094.87596875
transcript.pyannote[1120].end 6094.89284375
transcript.pyannote[1121].speaker SPEAKER_08
transcript.pyannote[1121].start 6094.89284375
transcript.pyannote[1121].end 6094.90971875
transcript.pyannote[1122].speaker SPEAKER_08
transcript.pyannote[1122].start 6094.92659375
transcript.pyannote[1122].end 6095.12909375
transcript.pyannote[1123].speaker SPEAKER_17
transcript.pyannote[1123].start 6104.96721875
transcript.pyannote[1123].end 6107.00909375
transcript.pyannote[1124].speaker SPEAKER_17
transcript.pyannote[1124].start 6107.80221875
transcript.pyannote[1124].end 6108.62909375
transcript.pyannote[1125].speaker SPEAKER_17
transcript.pyannote[1125].start 6108.98346875
transcript.pyannote[1125].end 6109.55721875
transcript.pyannote[1126].speaker SPEAKER_27
transcript.pyannote[1126].start 6128.15346875
transcript.pyannote[1126].end 6128.87909375
transcript.pyannote[1127].speaker SPEAKER_17
transcript.pyannote[1127].start 6129.16596875
transcript.pyannote[1127].end 6129.97596875
transcript.pyannote[1128].speaker SPEAKER_27
transcript.pyannote[1128].start 6137.50221875
transcript.pyannote[1128].end 6138.02534375
transcript.pyannote[1129].speaker SPEAKER_27
transcript.pyannote[1129].start 6140.89409375
transcript.pyannote[1129].end 6141.68721875
transcript.pyannote[1130].speaker SPEAKER_27
transcript.pyannote[1130].start 6141.90659375
transcript.pyannote[1130].end 6142.39596875
transcript.pyannote[1131].speaker SPEAKER_27
transcript.pyannote[1131].start 6143.03721875
transcript.pyannote[1131].end 6147.49221875
transcript.pyannote[1132].speaker SPEAKER_22
transcript.pyannote[1132].start 6147.49221875
transcript.pyannote[1132].end 6147.66096875
transcript.pyannote[1133].speaker SPEAKER_27
transcript.pyannote[1133].start 6147.66096875
transcript.pyannote[1133].end 6151.81221875
transcript.pyannote[1134].speaker SPEAKER_22
transcript.pyannote[1134].start 6151.91346875
transcript.pyannote[1134].end 6152.30159375
transcript.pyannote[1135].speaker SPEAKER_27
transcript.pyannote[1135].start 6152.50409375
transcript.pyannote[1135].end 6164.02971875
transcript.pyannote[1136].speaker SPEAKER_22
transcript.pyannote[1136].start 6152.52096875
transcript.pyannote[1136].end 6153.04409375
transcript.pyannote[1137].speaker SPEAKER_27
transcript.pyannote[1137].start 6164.24909375
transcript.pyannote[1137].end 6172.72034375
transcript.pyannote[1138].speaker SPEAKER_22
transcript.pyannote[1138].start 6172.72034375
transcript.pyannote[1138].end 6172.73721875
transcript.pyannote[1139].speaker SPEAKER_27
transcript.pyannote[1139].start 6172.73721875
transcript.pyannote[1139].end 6172.75409375
transcript.pyannote[1140].speaker SPEAKER_27
transcript.pyannote[1140].start 6173.73284375
transcript.pyannote[1140].end 6173.74971875
transcript.pyannote[1141].speaker SPEAKER_22
transcript.pyannote[1141].start 6173.74971875
transcript.pyannote[1141].end 6178.87971875
transcript.pyannote[1142].speaker SPEAKER_22
transcript.pyannote[1142].start 6179.28471875
transcript.pyannote[1142].end 6183.30096875
transcript.pyannote[1143].speaker SPEAKER_22
transcript.pyannote[1143].start 6183.97596875
transcript.pyannote[1143].end 6185.47784375
transcript.pyannote[1144].speaker SPEAKER_22
transcript.pyannote[1144].start 6185.95034375
transcript.pyannote[1144].end 6186.81096875
transcript.pyannote[1145].speaker SPEAKER_27
transcript.pyannote[1145].start 6186.81096875
transcript.pyannote[1145].end 6188.71784375
transcript.pyannote[1146].speaker SPEAKER_22
transcript.pyannote[1146].start 6186.86159375
transcript.pyannote[1146].end 6188.83596875
transcript.pyannote[1147].speaker SPEAKER_22
transcript.pyannote[1147].start 6188.95409375
transcript.pyannote[1147].end 6189.02159375
transcript.pyannote[1148].speaker SPEAKER_27
transcript.pyannote[1148].start 6189.02159375
transcript.pyannote[1148].end 6191.51909375
transcript.pyannote[1149].speaker SPEAKER_22
transcript.pyannote[1149].start 6189.05534375
transcript.pyannote[1149].end 6190.15221875
transcript.pyannote[1150].speaker SPEAKER_27
transcript.pyannote[1150].start 6192.04221875
transcript.pyannote[1150].end 6195.90659375
transcript.pyannote[1151].speaker SPEAKER_22
transcript.pyannote[1151].start 6193.27409375
transcript.pyannote[1151].end 6193.45971875
transcript.pyannote[1152].speaker SPEAKER_27
transcript.pyannote[1152].start 6196.26096875
transcript.pyannote[1152].end 6200.54721875
transcript.pyannote[1153].speaker SPEAKER_27
transcript.pyannote[1153].start 6200.69909375
transcript.pyannote[1153].end 6202.99409375
transcript.pyannote[1154].speaker SPEAKER_27
transcript.pyannote[1154].start 6203.17971875
transcript.pyannote[1154].end 6207.22971875
transcript.pyannote[1155].speaker SPEAKER_27
transcript.pyannote[1155].start 6207.58409375
transcript.pyannote[1155].end 6209.59221875
transcript.pyannote[1156].speaker SPEAKER_27
transcript.pyannote[1156].start 6210.38534375
transcript.pyannote[1156].end 6214.06409375
transcript.pyannote[1157].speaker SPEAKER_22
transcript.pyannote[1157].start 6212.39346875
transcript.pyannote[1157].end 6214.16534375
transcript.pyannote[1158].speaker SPEAKER_27
transcript.pyannote[1158].start 6214.16534375
transcript.pyannote[1158].end 6214.68846875
transcript.pyannote[1159].speaker SPEAKER_22
transcript.pyannote[1159].start 6214.68846875
transcript.pyannote[1159].end 6223.51409375
transcript.pyannote[1160].speaker SPEAKER_27
transcript.pyannote[1160].start 6214.99221875
transcript.pyannote[1160].end 6215.02596875
transcript.pyannote[1161].speaker SPEAKER_22
transcript.pyannote[1161].start 6224.29034375
transcript.pyannote[1161].end 6225.96096875
transcript.pyannote[1162].speaker SPEAKER_22
transcript.pyannote[1162].start 6226.41659375
transcript.pyannote[1162].end 6228.54284375
transcript.pyannote[1163].speaker SPEAKER_22
transcript.pyannote[1163].start 6229.57221875
transcript.pyannote[1163].end 6231.27659375
transcript.pyannote[1164].speaker SPEAKER_22
transcript.pyannote[1164].start 6231.81659375
transcript.pyannote[1164].end 6234.44909375
transcript.pyannote[1165].speaker SPEAKER_22
transcript.pyannote[1165].start 6235.74846875
transcript.pyannote[1165].end 6237.68909375
transcript.pyannote[1166].speaker SPEAKER_22
transcript.pyannote[1166].start 6238.17846875
transcript.pyannote[1166].end 6239.17409375
transcript.pyannote[1167].speaker SPEAKER_22
transcript.pyannote[1167].start 6239.64659375
transcript.pyannote[1167].end 6240.96284375
transcript.pyannote[1168].speaker SPEAKER_27
transcript.pyannote[1168].start 6240.96284375
transcript.pyannote[1168].end 6241.06409375
transcript.pyannote[1169].speaker SPEAKER_27
transcript.pyannote[1169].start 6241.48596875
transcript.pyannote[1169].end 6249.56909375
transcript.pyannote[1170].speaker SPEAKER_27
transcript.pyannote[1170].start 6250.19346875
transcript.pyannote[1170].end 6253.36596875
transcript.pyannote[1171].speaker SPEAKER_22
transcript.pyannote[1171].start 6253.36596875
transcript.pyannote[1171].end 6253.38284375
transcript.pyannote[1172].speaker SPEAKER_22
transcript.pyannote[1172].start 6254.76659375
transcript.pyannote[1172].end 6255.28971875
transcript.pyannote[1173].speaker SPEAKER_22
transcript.pyannote[1173].start 6255.76221875
transcript.pyannote[1173].end 6259.28909375
transcript.pyannote[1174].speaker SPEAKER_22
transcript.pyannote[1174].start 6259.86284375
transcript.pyannote[1174].end 6261.90471875
transcript.pyannote[1175].speaker SPEAKER_22
transcript.pyannote[1175].start 6261.97221875
transcript.pyannote[1175].end 6264.97596875
transcript.pyannote[1176].speaker SPEAKER_27
transcript.pyannote[1176].start 6264.97596875
transcript.pyannote[1176].end 6265.00971875
transcript.pyannote[1177].speaker SPEAKER_22
transcript.pyannote[1177].start 6265.00971875
transcript.pyannote[1177].end 6265.04346875
transcript.pyannote[1178].speaker SPEAKER_22
transcript.pyannote[1178].start 6265.85346875
transcript.pyannote[1178].end 6265.87034375
transcript.pyannote[1179].speaker SPEAKER_27
transcript.pyannote[1179].start 6265.87034375
transcript.pyannote[1179].end 6270.57846875
transcript.pyannote[1180].speaker SPEAKER_27
transcript.pyannote[1180].start 6271.32096875
transcript.pyannote[1180].end 6273.88596875
transcript.pyannote[1181].speaker SPEAKER_27
transcript.pyannote[1181].start 6273.91971875
transcript.pyannote[1181].end 6277.07534375
transcript.pyannote[1182].speaker SPEAKER_27
transcript.pyannote[1182].start 6277.36221875
transcript.pyannote[1182].end 6278.67846875
transcript.pyannote[1183].speaker SPEAKER_27
transcript.pyannote[1183].start 6279.67409375
transcript.pyannote[1183].end 6282.40784375
transcript.pyannote[1184].speaker SPEAKER_27
transcript.pyannote[1184].start 6282.81284375
transcript.pyannote[1184].end 6284.97284375
transcript.pyannote[1185].speaker SPEAKER_27
transcript.pyannote[1185].start 6285.39471875
transcript.pyannote[1185].end 6286.52534375
transcript.pyannote[1186].speaker SPEAKER_27
transcript.pyannote[1186].start 6286.57596875
transcript.pyannote[1186].end 6288.02721875
transcript.pyannote[1187].speaker SPEAKER_27
transcript.pyannote[1187].start 6288.34784375
transcript.pyannote[1187].end 6288.82034375
transcript.pyannote[1188].speaker SPEAKER_27
transcript.pyannote[1188].start 6289.24221875
transcript.pyannote[1188].end 6290.76096875
transcript.pyannote[1189].speaker SPEAKER_27
transcript.pyannote[1189].start 6291.23346875
transcript.pyannote[1189].end 6292.29659375
transcript.pyannote[1190].speaker SPEAKER_27
transcript.pyannote[1190].start 6292.54971875
transcript.pyannote[1190].end 6293.49471875
transcript.pyannote[1191].speaker SPEAKER_27
transcript.pyannote[1191].start 6293.73096875
transcript.pyannote[1191].end 6295.45221875
transcript.pyannote[1192].speaker SPEAKER_27
transcript.pyannote[1192].start 6295.80659375
transcript.pyannote[1192].end 6297.08909375
transcript.pyannote[1193].speaker SPEAKER_27
transcript.pyannote[1193].start 6297.49409375
transcript.pyannote[1193].end 6298.72596875
transcript.pyannote[1194].speaker SPEAKER_27
transcript.pyannote[1194].start 6299.26596875
transcript.pyannote[1194].end 6301.71284375
transcript.pyannote[1195].speaker SPEAKER_27
transcript.pyannote[1195].start 6302.06721875
transcript.pyannote[1195].end 6303.50159375
transcript.pyannote[1196].speaker SPEAKER_27
transcript.pyannote[1196].start 6303.85596875
transcript.pyannote[1196].end 6305.13846875
transcript.pyannote[1197].speaker SPEAKER_27
transcript.pyannote[1197].start 6305.23971875
transcript.pyannote[1197].end 6309.35721875
transcript.pyannote[1198].speaker SPEAKER_27
transcript.pyannote[1198].start 6309.44159375
transcript.pyannote[1198].end 6310.84221875
transcript.pyannote[1199].speaker SPEAKER_27
transcript.pyannote[1199].start 6311.31471875
transcript.pyannote[1199].end 6313.91346875
transcript.pyannote[1200].speaker SPEAKER_27
transcript.pyannote[1200].start 6314.63909375
transcript.pyannote[1200].end 6319.41471875
transcript.pyannote[1201].speaker SPEAKER_27
transcript.pyannote[1201].start 6320.62971875
transcript.pyannote[1201].end 6321.03471875
transcript.pyannote[1202].speaker SPEAKER_22
transcript.pyannote[1202].start 6321.03471875
transcript.pyannote[1202].end 6349.13159375
transcript.pyannote[1203].speaker SPEAKER_27
transcript.pyannote[1203].start 6323.21159375
transcript.pyannote[1203].end 6323.65034375
transcript.pyannote[1204].speaker SPEAKER_27
transcript.pyannote[1204].start 6324.05534375
transcript.pyannote[1204].end 6324.22409375
transcript.pyannote[1205].speaker SPEAKER_21
transcript.pyannote[1205].start 6330.90659375
transcript.pyannote[1205].end 6330.95721875
transcript.pyannote[1206].speaker SPEAKER_27
transcript.pyannote[1206].start 6330.95721875
transcript.pyannote[1206].end 6331.05846875
transcript.pyannote[1207].speaker SPEAKER_21
transcript.pyannote[1207].start 6331.05846875
transcript.pyannote[1207].end 6331.07534375
transcript.pyannote[1208].speaker SPEAKER_27
transcript.pyannote[1208].start 6331.24409375
transcript.pyannote[1208].end 6331.49721875
transcript.pyannote[1209].speaker SPEAKER_21
transcript.pyannote[1209].start 6331.49721875
transcript.pyannote[1209].end 6331.69971875
transcript.pyannote[1210].speaker SPEAKER_27
transcript.pyannote[1210].start 6331.69971875
transcript.pyannote[1210].end 6331.73346875
transcript.pyannote[1211].speaker SPEAKER_27
transcript.pyannote[1211].start 6335.41221875
transcript.pyannote[1211].end 6335.46284375
transcript.pyannote[1212].speaker SPEAKER_21
transcript.pyannote[1212].start 6335.46284375
transcript.pyannote[1212].end 6336.03659375
transcript.pyannote[1213].speaker SPEAKER_27
transcript.pyannote[1213].start 6336.03659375
transcript.pyannote[1213].end 6338.01096875
transcript.pyannote[1214].speaker SPEAKER_27
transcript.pyannote[1214].start 6340.20471875
transcript.pyannote[1214].end 6340.52534375
transcript.pyannote[1215].speaker SPEAKER_27
transcript.pyannote[1215].start 6342.11159375
transcript.pyannote[1215].end 6342.60096875
transcript.pyannote[1216].speaker SPEAKER_22
transcript.pyannote[1216].start 6349.82346875
transcript.pyannote[1216].end 6359.29034375
transcript.pyannote[1217].speaker SPEAKER_27
transcript.pyannote[1217].start 6356.65784375
transcript.pyannote[1217].end 6358.31159375
transcript.pyannote[1218].speaker SPEAKER_22
transcript.pyannote[1218].start 6359.79659375
transcript.pyannote[1218].end 6361.19721875
transcript.pyannote[1219].speaker SPEAKER_27
transcript.pyannote[1219].start 6361.19721875
transcript.pyannote[1219].end 6361.88909375
transcript.pyannote[1220].speaker SPEAKER_22
transcript.pyannote[1220].start 6361.88909375
transcript.pyannote[1220].end 6363.13784375
transcript.pyannote[1221].speaker SPEAKER_27
transcript.pyannote[1221].start 6361.93971875
transcript.pyannote[1221].end 6366.15846875
transcript.pyannote[1222].speaker SPEAKER_22
transcript.pyannote[1222].start 6364.08284375
transcript.pyannote[1222].end 6369.12846875
transcript.pyannote[1223].speaker SPEAKER_22
transcript.pyannote[1223].start 6369.70221875
transcript.pyannote[1223].end 6373.73534375
transcript.pyannote[1224].speaker SPEAKER_22
transcript.pyannote[1224].start 6374.14034375
transcript.pyannote[1224].end 6376.40159375
transcript.pyannote[1225].speaker SPEAKER_27
transcript.pyannote[1225].start 6376.40159375
transcript.pyannote[1225].end 6380.43471875
transcript.pyannote[1226].speaker SPEAKER_27
transcript.pyannote[1226].start 6381.10971875
transcript.pyannote[1226].end 6386.52659375
transcript.pyannote[1227].speaker SPEAKER_22
transcript.pyannote[1227].start 6385.21034375
transcript.pyannote[1227].end 6392.43284375
transcript.pyannote[1228].speaker SPEAKER_22
transcript.pyannote[1228].start 6393.02346875
transcript.pyannote[1228].end 6398.96346875
transcript.pyannote[1229].speaker SPEAKER_27
transcript.pyannote[1229].start 6398.96346875
transcript.pyannote[1229].end 6399.28409375
transcript.pyannote[1230].speaker SPEAKER_27
transcript.pyannote[1230].start 6399.70596875
transcript.pyannote[1230].end 6409.57784375
transcript.pyannote[1231].speaker SPEAKER_00
transcript.pyannote[1231].start 6403.62096875
transcript.pyannote[1231].end 6403.77284375
transcript.pyannote[1232].speaker SPEAKER_39
transcript.pyannote[1232].start 6403.77284375
transcript.pyannote[1232].end 6405.37596875
transcript.pyannote[1233].speaker SPEAKER_27
transcript.pyannote[1233].start 6411.07971875
transcript.pyannote[1233].end 6412.96971875
transcript.pyannote[1234].speaker SPEAKER_28
transcript.pyannote[1234].start 6411.13034375
transcript.pyannote[1234].end 6411.60284375
transcript.pyannote[1235].speaker SPEAKER_27
transcript.pyannote[1235].start 6413.49284375
transcript.pyannote[1235].end 6418.21784375
transcript.pyannote[1236].speaker SPEAKER_28
transcript.pyannote[1236].start 6414.60659375
transcript.pyannote[1236].end 6417.10409375
transcript.pyannote[1237].speaker SPEAKER_28
transcript.pyannote[1237].start 6418.21784375
transcript.pyannote[1237].end 6420.37784375
transcript.pyannote[1238].speaker SPEAKER_22
transcript.pyannote[1238].start 6423.07784375
transcript.pyannote[1238].end 6431.38034375
transcript.pyannote[1239].speaker SPEAKER_22
transcript.pyannote[1239].start 6432.30846875
transcript.pyannote[1239].end 6442.68659375
transcript.pyannote[1240].speaker SPEAKER_27
transcript.pyannote[1240].start 6440.40846875
transcript.pyannote[1240].end 6442.78784375
transcript.pyannote[1241].speaker SPEAKER_38
transcript.pyannote[1241].start 6442.68659375
transcript.pyannote[1241].end 6442.93971875
transcript.pyannote[1242].speaker SPEAKER_27
transcript.pyannote[1242].start 6442.85534375
transcript.pyannote[1242].end 6446.12909375
transcript.pyannote[1243].speaker SPEAKER_22
transcript.pyannote[1243].start 6442.93971875
transcript.pyannote[1243].end 6444.30659375
transcript.pyannote[1244].speaker SPEAKER_27
transcript.pyannote[1244].start 6446.44971875
transcript.pyannote[1244].end 6448.72784375
transcript.pyannote[1245].speaker SPEAKER_27
transcript.pyannote[1245].start 6449.20034375
transcript.pyannote[1245].end 6452.81159375
transcript.pyannote[1246].speaker SPEAKER_28
transcript.pyannote[1246].start 6449.23409375
transcript.pyannote[1246].end 6450.70221875
transcript.pyannote[1247].speaker SPEAKER_27
transcript.pyannote[1247].start 6452.99721875
transcript.pyannote[1247].end 6454.54971875
transcript.pyannote[1248].speaker SPEAKER_27
transcript.pyannote[1248].start 6454.92096875
transcript.pyannote[1248].end 6458.66721875
transcript.pyannote[1249].speaker SPEAKER_27
transcript.pyannote[1249].start 6459.24096875
transcript.pyannote[1249].end 6459.96659375
transcript.pyannote[1250].speaker SPEAKER_27
transcript.pyannote[1250].start 6460.64159375
transcript.pyannote[1250].end 6462.81846875
transcript.pyannote[1251].speaker SPEAKER_22
transcript.pyannote[1251].start 6460.79346875
transcript.pyannote[1251].end 6461.29971875
transcript.pyannote[1252].speaker SPEAKER_22
transcript.pyannote[1252].start 6462.81846875
transcript.pyannote[1252].end 6462.83534375
transcript.pyannote[1253].speaker SPEAKER_27
transcript.pyannote[1253].start 6463.29096875
transcript.pyannote[1253].end 6463.32471875
transcript.pyannote[1254].speaker SPEAKER_22
transcript.pyannote[1254].start 6463.32471875
transcript.pyannote[1254].end 6469.31534375
transcript.pyannote[1255].speaker SPEAKER_27
transcript.pyannote[1255].start 6463.74659375
transcript.pyannote[1255].end 6464.03346875
transcript.pyannote[1256].speaker SPEAKER_28
transcript.pyannote[1256].start 6464.03346875
transcript.pyannote[1256].end 6465.68721875
transcript.pyannote[1257].speaker SPEAKER_22
transcript.pyannote[1257].start 6469.55159375
transcript.pyannote[1257].end 6474.98534375
transcript.pyannote[1258].speaker SPEAKER_39
transcript.pyannote[1258].start 6475.22159375
transcript.pyannote[1258].end 6475.23846875
transcript.pyannote[1259].speaker SPEAKER_40
transcript.pyannote[1259].start 6475.23846875
transcript.pyannote[1259].end 6475.28909375
transcript.pyannote[1260].speaker SPEAKER_22
transcript.pyannote[1260].start 6475.28909375
transcript.pyannote[1260].end 6485.75159375
transcript.pyannote[1261].speaker SPEAKER_39
transcript.pyannote[1261].start 6475.33971875
transcript.pyannote[1261].end 6475.37346875
transcript.pyannote[1262].speaker SPEAKER_39
transcript.pyannote[1262].start 6476.26784375
transcript.pyannote[1262].end 6477.02721875
transcript.pyannote[1263].speaker SPEAKER_28
transcript.pyannote[1263].start 6477.02721875
transcript.pyannote[1263].end 6477.48284375
transcript.pyannote[1264].speaker SPEAKER_39
transcript.pyannote[1264].start 6477.48284375
transcript.pyannote[1264].end 6477.49971875
transcript.pyannote[1265].speaker SPEAKER_28
transcript.pyannote[1265].start 6477.49971875
transcript.pyannote[1265].end 6477.53346875
transcript.pyannote[1266].speaker SPEAKER_27
transcript.pyannote[1266].start 6485.75159375
transcript.pyannote[1266].end 6490.91534375
transcript.pyannote[1267].speaker SPEAKER_22
transcript.pyannote[1267].start 6485.78534375
transcript.pyannote[1267].end 6487.27034375
transcript.pyannote[1268].speaker SPEAKER_27
transcript.pyannote[1268].start 6491.15159375
transcript.pyannote[1268].end 6492.53534375
transcript.pyannote[1269].speaker SPEAKER_27
transcript.pyannote[1269].start 6492.78846875
transcript.pyannote[1269].end 6494.96534375
transcript.pyannote[1270].speaker SPEAKER_27
transcript.pyannote[1270].start 6495.37034375
transcript.pyannote[1270].end 6496.72034375
transcript.pyannote[1271].speaker SPEAKER_27
transcript.pyannote[1271].start 6498.17159375
transcript.pyannote[1271].end 6502.89659375
transcript.pyannote[1272].speaker SPEAKER_27
transcript.pyannote[1272].start 6503.82471875
transcript.pyannote[1272].end 6506.20409375
transcript.pyannote[1273].speaker SPEAKER_27
transcript.pyannote[1273].start 6506.71034375
transcript.pyannote[1273].end 6508.06034375
transcript.pyannote[1274].speaker SPEAKER_27
transcript.pyannote[1274].start 6508.33034375
transcript.pyannote[1274].end 6520.42971875
transcript.pyannote[1275].speaker SPEAKER_00
transcript.pyannote[1275].start 6511.24971875
transcript.pyannote[1275].end 6512.16096875
transcript.pyannote[1276].speaker SPEAKER_22
transcript.pyannote[1276].start 6515.29971875
transcript.pyannote[1276].end 6518.42159375
transcript.pyannote[1277].speaker SPEAKER_22
transcript.pyannote[1277].start 6520.42971875
transcript.pyannote[1277].end 6524.39534375
transcript.pyannote[1278].speaker SPEAKER_22
transcript.pyannote[1278].start 6524.69909375
transcript.pyannote[1278].end 6526.50471875
transcript.pyannote[1279].speaker SPEAKER_27
transcript.pyannote[1279].start 6526.50471875
transcript.pyannote[1279].end 6530.95971875
transcript.pyannote[1280].speaker SPEAKER_22
transcript.pyannote[1280].start 6526.57221875
transcript.pyannote[1280].end 6527.02784375
transcript.pyannote[1281].speaker SPEAKER_27
transcript.pyannote[1281].start 6531.21284375
transcript.pyannote[1281].end 6536.30909375
transcript.pyannote[1282].speaker SPEAKER_27
transcript.pyannote[1282].start 6537.13596875
transcript.pyannote[1282].end 6538.28346875
transcript.pyannote[1283].speaker SPEAKER_27
transcript.pyannote[1283].start 6539.49846875
transcript.pyannote[1283].end 6540.27471875
transcript.pyannote[1284].speaker SPEAKER_27
transcript.pyannote[1284].start 6541.62471875
transcript.pyannote[1284].end 6543.31221875
transcript.pyannote[1285].speaker SPEAKER_27
transcript.pyannote[1285].start 6544.39221875
transcript.pyannote[1285].end 6547.31159375
transcript.pyannote[1286].speaker SPEAKER_27
transcript.pyannote[1286].start 6547.59846875
transcript.pyannote[1286].end 6549.03284375
transcript.pyannote[1287].speaker SPEAKER_27
transcript.pyannote[1287].start 6550.99034375
transcript.pyannote[1287].end 6551.61471875
transcript.pyannote[1288].speaker SPEAKER_27
transcript.pyannote[1288].start 6552.07034375
transcript.pyannote[1288].end 6552.42471875
transcript.pyannote[1289].speaker SPEAKER_27
transcript.pyannote[1289].start 6552.71159375
transcript.pyannote[1289].end 6559.47846875
transcript.pyannote[1290].speaker SPEAKER_22
transcript.pyannote[1290].start 6552.74534375
transcript.pyannote[1290].end 6554.11221875
transcript.pyannote[1291].speaker SPEAKER_22
transcript.pyannote[1291].start 6557.03159375
transcript.pyannote[1291].end 6558.71909375
transcript.pyannote[1292].speaker SPEAKER_27
transcript.pyannote[1292].start 6560.82846875
transcript.pyannote[1292].end 6562.26284375
transcript.pyannote[1293].speaker SPEAKER_27
transcript.pyannote[1293].start 6563.35971875
transcript.pyannote[1293].end 6564.08534375
transcript.pyannote[1294].speaker SPEAKER_27
transcript.pyannote[1294].start 6564.32159375
transcript.pyannote[1294].end 6572.32034375
transcript.pyannote[1295].speaker SPEAKER_22
transcript.pyannote[1295].start 6565.62096875
transcript.pyannote[1295].end 6566.22846875
transcript.pyannote[1296].speaker SPEAKER_22
transcript.pyannote[1296].start 6568.79346875
transcript.pyannote[1296].end 6569.31659375
transcript.pyannote[1297].speaker SPEAKER_35
transcript.pyannote[1297].start 6571.72971875
transcript.pyannote[1297].end 6573.21471875
transcript.pyannote[1298].speaker SPEAKER_35
transcript.pyannote[1298].start 6573.23159375
transcript.pyannote[1298].end 6574.42971875
transcript.pyannote[1299].speaker SPEAKER_27
transcript.pyannote[1299].start 6573.26534375
transcript.pyannote[1299].end 6573.60284375
transcript.pyannote[1300].speaker SPEAKER_27
transcript.pyannote[1300].start 6574.49721875
transcript.pyannote[1300].end 6574.88534375
transcript.pyannote[1301].speaker SPEAKER_27
transcript.pyannote[1301].start 6575.72909375
transcript.pyannote[1301].end 6579.32346875
transcript.pyannote[1302].speaker SPEAKER_35
transcript.pyannote[1302].start 6575.74596875
transcript.pyannote[1302].end 6576.80909375
transcript.pyannote[1303].speaker SPEAKER_35
transcript.pyannote[1303].start 6581.14596875
transcript.pyannote[1303].end 6588.23346875
transcript.pyannote[1304].speaker SPEAKER_35
transcript.pyannote[1304].start 6588.28409375
transcript.pyannote[1304].end 6591.35534375
transcript.pyannote[1305].speaker SPEAKER_35
transcript.pyannote[1305].start 6591.72659375
transcript.pyannote[1305].end 6598.91534375
transcript.pyannote[1306].speaker SPEAKER_27
transcript.pyannote[1306].start 6600.43409375
transcript.pyannote[1306].end 6600.97409375
transcript.pyannote[1307].speaker SPEAKER_27
transcript.pyannote[1307].start 6601.24409375
transcript.pyannote[1307].end 6603.97784375
transcript.pyannote[1308].speaker SPEAKER_27
transcript.pyannote[1308].start 6604.26471875
transcript.pyannote[1308].end 6604.99034375
transcript.pyannote[1309].speaker SPEAKER_22
transcript.pyannote[1309].start 6605.80034375
transcript.pyannote[1309].end 6606.30659375
transcript.pyannote[1310].speaker SPEAKER_22
transcript.pyannote[1310].start 6606.82971875
transcript.pyannote[1310].end 6606.89721875
transcript.pyannote[1311].speaker SPEAKER_35
transcript.pyannote[1311].start 6606.89721875
transcript.pyannote[1311].end 6606.96471875
transcript.pyannote[1312].speaker SPEAKER_22
transcript.pyannote[1312].start 6606.96471875
transcript.pyannote[1312].end 6607.08284375
transcript.pyannote[1313].speaker SPEAKER_35
transcript.pyannote[1313].start 6608.19659375
transcript.pyannote[1313].end 6616.34721875
transcript.pyannote[1314].speaker SPEAKER_35
transcript.pyannote[1314].start 6616.54971875
transcript.pyannote[1314].end 6629.08784375
transcript.pyannote[1315].speaker SPEAKER_27
transcript.pyannote[1315].start 6624.02534375
transcript.pyannote[1315].end 6624.09284375
transcript.pyannote[1316].speaker SPEAKER_27
transcript.pyannote[1316].start 6628.61534375
transcript.pyannote[1316].end 6639.88784375
transcript.pyannote[1317].speaker SPEAKER_00
transcript.pyannote[1317].start 6632.39534375
transcript.pyannote[1317].end 6632.76659375
transcript.pyannote[1318].speaker SPEAKER_35
transcript.pyannote[1318].start 6632.76659375
transcript.pyannote[1318].end 6634.18409375
transcript.pyannote[1319].speaker SPEAKER_00
transcript.pyannote[1319].start 6634.18409375
transcript.pyannote[1319].end 6634.20096875
transcript.pyannote[1320].speaker SPEAKER_27
transcript.pyannote[1320].start 6641.00159375
transcript.pyannote[1320].end 6649.60784375
transcript.pyannote[1321].speaker SPEAKER_39
transcript.pyannote[1321].start 6649.55721875
transcript.pyannote[1321].end 6650.06346875
transcript.pyannote[1322].speaker SPEAKER_27
transcript.pyannote[1322].start 6649.92846875
transcript.pyannote[1322].end 6650.87346875
transcript.pyannote[1323].speaker SPEAKER_27
transcript.pyannote[1323].start 6651.68346875
transcript.pyannote[1323].end 6654.85596875
transcript.pyannote[1324].speaker SPEAKER_27
transcript.pyannote[1324].start 6655.56471875
transcript.pyannote[1324].end 6657.84284375
transcript.pyannote[1325].speaker SPEAKER_27
transcript.pyannote[1325].start 6658.46721875
transcript.pyannote[1325].end 6660.45846875
transcript.pyannote[1326].speaker SPEAKER_22
transcript.pyannote[1326].start 6659.71596875
transcript.pyannote[1326].end 6660.08721875
transcript.pyannote[1327].speaker SPEAKER_22
transcript.pyannote[1327].start 6660.45846875
transcript.pyannote[1327].end 6660.47534375
transcript.pyannote[1328].speaker SPEAKER_35
transcript.pyannote[1328].start 6661.01534375
transcript.pyannote[1328].end 6661.16721875
transcript.pyannote[1329].speaker SPEAKER_27
transcript.pyannote[1329].start 6661.16721875
transcript.pyannote[1329].end 6661.48784375
transcript.pyannote[1330].speaker SPEAKER_22
transcript.pyannote[1330].start 6661.21784375
transcript.pyannote[1330].end 6661.23471875
transcript.pyannote[1331].speaker SPEAKER_22
transcript.pyannote[1331].start 6661.48784375
transcript.pyannote[1331].end 6662.43284375
transcript.pyannote[1332].speaker SPEAKER_22
transcript.pyannote[1332].start 6663.49596875
transcript.pyannote[1332].end 6669.48659375
transcript.pyannote[1333].speaker SPEAKER_27
transcript.pyannote[1333].start 6669.48659375
transcript.pyannote[1333].end 6677.94096875
transcript.pyannote[1334].speaker SPEAKER_22
transcript.pyannote[1334].start 6670.12784375
transcript.pyannote[1334].end 6671.69721875
transcript.pyannote[1335].speaker SPEAKER_27
transcript.pyannote[1335].start 6678.14346875
transcript.pyannote[1335].end 6679.69596875
transcript.pyannote[1336].speaker SPEAKER_27
transcript.pyannote[1336].start 6680.70846875
transcript.pyannote[1336].end 6685.51784375
transcript.pyannote[1337].speaker SPEAKER_27
transcript.pyannote[1337].start 6686.61471875
transcript.pyannote[1337].end 6687.50909375
transcript.pyannote[1338].speaker SPEAKER_27
transcript.pyannote[1338].start 6687.71159375
transcript.pyannote[1338].end 6688.70721875
transcript.pyannote[1339].speaker SPEAKER_27
transcript.pyannote[1339].start 6689.16284375
transcript.pyannote[1339].end 6690.17534375
transcript.pyannote[1340].speaker SPEAKER_27
transcript.pyannote[1340].start 6690.73221875
transcript.pyannote[1340].end 6692.63909375
transcript.pyannote[1341].speaker SPEAKER_27
transcript.pyannote[1341].start 6693.11159375
transcript.pyannote[1341].end 6697.97159375
transcript.pyannote[1342].speaker SPEAKER_27
transcript.pyannote[1342].start 6698.66346875
transcript.pyannote[1342].end 6702.37596875
transcript.pyannote[1343].speaker SPEAKER_27
transcript.pyannote[1343].start 6702.83159375
transcript.pyannote[1343].end 6704.80596875
transcript.pyannote[1344].speaker SPEAKER_27
transcript.pyannote[1344].start 6705.34596875
transcript.pyannote[1344].end 6706.27409375
transcript.pyannote[1345].speaker SPEAKER_27
transcript.pyannote[1345].start 6706.71284375
transcript.pyannote[1345].end 6707.11784375
transcript.pyannote[1346].speaker SPEAKER_39
transcript.pyannote[1346].start 6707.74221875
transcript.pyannote[1346].end 6708.18096875
transcript.pyannote[1347].speaker SPEAKER_27
transcript.pyannote[1347].start 6708.18096875
transcript.pyannote[1347].end 6709.10909375
transcript.pyannote[1348].speaker SPEAKER_27
transcript.pyannote[1348].start 6709.58159375
transcript.pyannote[1348].end 6713.09159375
transcript.pyannote[1349].speaker SPEAKER_27
transcript.pyannote[1349].start 6713.27721875
transcript.pyannote[1349].end 6714.79596875
transcript.pyannote[1350].speaker SPEAKER_27
transcript.pyannote[1350].start 6715.72409375
transcript.pyannote[1350].end 6716.19659375
transcript.pyannote[1351].speaker SPEAKER_27
transcript.pyannote[1351].start 6716.41596875
transcript.pyannote[1351].end 6718.06971875
transcript.pyannote[1352].speaker SPEAKER_39
transcript.pyannote[1352].start 6718.89659375
transcript.pyannote[1352].end 6719.50409375
transcript.pyannote[1353].speaker SPEAKER_31
transcript.pyannote[1353].start 6719.87534375
transcript.pyannote[1353].end 6721.44471875
transcript.pyannote[1354].speaker SPEAKER_31
transcript.pyannote[1354].start 6721.61346875
transcript.pyannote[1354].end 6723.28409375
transcript.pyannote[1355].speaker SPEAKER_31
transcript.pyannote[1355].start 6723.84096875
transcript.pyannote[1355].end 6731.19846875
transcript.pyannote[1356].speaker SPEAKER_31
transcript.pyannote[1356].start 6731.55284375
transcript.pyannote[1356].end 6737.61096875
transcript.pyannote[1357].speaker SPEAKER_27
transcript.pyannote[1357].start 6736.09221875
transcript.pyannote[1357].end 6743.09534375
transcript.pyannote[1358].speaker SPEAKER_27
transcript.pyannote[1358].start 6744.09096875
transcript.pyannote[1358].end 6752.02221875
transcript.pyannote[1359].speaker SPEAKER_00
transcript.pyannote[1359].start 6746.33534375
transcript.pyannote[1359].end 6746.38596875
transcript.pyannote[1360].speaker SPEAKER_40
transcript.pyannote[1360].start 6746.38596875
transcript.pyannote[1360].end 6746.97659375
transcript.pyannote[1361].speaker SPEAKER_00
transcript.pyannote[1361].start 6746.97659375
transcript.pyannote[1361].end 6748.07346875
transcript.pyannote[1362].speaker SPEAKER_27
transcript.pyannote[1362].start 6752.47784375
transcript.pyannote[1362].end 6759.49784375
transcript.pyannote[1363].speaker SPEAKER_28
transcript.pyannote[1363].start 6756.64596875
transcript.pyannote[1363].end 6758.97471875
transcript.pyannote[1364].speaker SPEAKER_00
transcript.pyannote[1364].start 6758.97471875
transcript.pyannote[1364].end 6759.24471875
transcript.pyannote[1365].speaker SPEAKER_27
transcript.pyannote[1365].start 6759.93659375
transcript.pyannote[1365].end 6761.11784375
transcript.pyannote[1366].speaker SPEAKER_27
transcript.pyannote[1366].start 6762.04596875
transcript.pyannote[1366].end 6764.02034375
transcript.pyannote[1367].speaker SPEAKER_27
transcript.pyannote[1367].start 6764.17221875
transcript.pyannote[1367].end 6766.87221875
transcript.pyannote[1368].speaker SPEAKER_27
transcript.pyannote[1368].start 6767.09159375
transcript.pyannote[1368].end 6768.18846875
transcript.pyannote[1369].speaker SPEAKER_27
transcript.pyannote[1369].start 6769.06596875
transcript.pyannote[1369].end 6772.03596875
transcript.pyannote[1370].speaker SPEAKER_22
transcript.pyannote[1370].start 6772.03596875
transcript.pyannote[1370].end 6775.00596875
transcript.pyannote[1371].speaker SPEAKER_39
transcript.pyannote[1371].start 6775.00596875
transcript.pyannote[1371].end 6775.37721875
transcript.pyannote[1372].speaker SPEAKER_22
transcript.pyannote[1372].start 6775.47846875
transcript.pyannote[1372].end 6779.52846875
transcript.pyannote[1373].speaker SPEAKER_22
transcript.pyannote[1373].start 6779.68034375
transcript.pyannote[1373].end 6789.50159375
transcript.pyannote[1374].speaker SPEAKER_39
transcript.pyannote[1374].start 6779.95034375
transcript.pyannote[1374].end 6780.79409375
transcript.pyannote[1375].speaker SPEAKER_27
transcript.pyannote[1375].start 6780.79409375
transcript.pyannote[1375].end 6780.82784375
transcript.pyannote[1376].speaker SPEAKER_27
transcript.pyannote[1376].start 6783.78096875
transcript.pyannote[1376].end 6784.06784375
transcript.pyannote[1377].speaker SPEAKER_27
transcript.pyannote[1377].start 6788.26971875
transcript.pyannote[1377].end 6788.33721875
transcript.pyannote[1378].speaker SPEAKER_27
transcript.pyannote[1378].start 6788.91096875
transcript.pyannote[1378].end 6789.11346875
transcript.pyannote[1379].speaker SPEAKER_22
transcript.pyannote[1379].start 6789.51846875
transcript.pyannote[1379].end 6791.15534375
transcript.pyannote[1380].speaker SPEAKER_27
transcript.pyannote[1380].start 6790.96971875
transcript.pyannote[1380].end 6791.22284375
transcript.pyannote[1381].speaker SPEAKER_22
transcript.pyannote[1381].start 6791.22284375
transcript.pyannote[1381].end 6791.25659375
transcript.pyannote[1382].speaker SPEAKER_27
transcript.pyannote[1382].start 6791.25659375
transcript.pyannote[1382].end 6806.03909375
transcript.pyannote[1383].speaker SPEAKER_22
transcript.pyannote[1383].start 6795.37409375
transcript.pyannote[1383].end 6797.97284375
transcript.pyannote[1384].speaker SPEAKER_40
transcript.pyannote[1384].start 6797.97284375
transcript.pyannote[1384].end 6797.98971875
transcript.pyannote[1385].speaker SPEAKER_00
transcript.pyannote[1385].start 6798.73221875
transcript.pyannote[1385].end 6798.76596875
transcript.pyannote[1386].speaker SPEAKER_40
transcript.pyannote[1386].start 6798.76596875
transcript.pyannote[1386].end 6799.03596875
transcript.pyannote[1387].speaker SPEAKER_22
transcript.pyannote[1387].start 6799.03596875
transcript.pyannote[1387].end 6801.04409375
transcript.pyannote[1388].speaker SPEAKER_22
transcript.pyannote[1388].start 6806.03909375
transcript.pyannote[1388].end 6806.34284375
transcript.pyannote[1389].speaker SPEAKER_27
transcript.pyannote[1389].start 6806.34284375
transcript.pyannote[1389].end 6806.56221875
transcript.pyannote[1390].speaker SPEAKER_22
transcript.pyannote[1390].start 6806.37659375
transcript.pyannote[1390].end 6806.59596875
transcript.pyannote[1391].speaker SPEAKER_27
transcript.pyannote[1391].start 6806.59596875
transcript.pyannote[1391].end 6806.73096875
transcript.pyannote[1392].speaker SPEAKER_22
transcript.pyannote[1392].start 6806.73096875
transcript.pyannote[1392].end 6809.02596875
transcript.pyannote[1393].speaker SPEAKER_27
transcript.pyannote[1393].start 6808.43534375
transcript.pyannote[1393].end 6809.80221875
transcript.pyannote[1394].speaker SPEAKER_27
transcript.pyannote[1394].start 6810.66284375
transcript.pyannote[1394].end 6812.35034375
transcript.pyannote[1395].speaker SPEAKER_27
transcript.pyannote[1395].start 6813.26159375
transcript.pyannote[1395].end 6813.56534375
transcript.pyannote[1396].speaker SPEAKER_27
transcript.pyannote[1396].start 6813.78471875
transcript.pyannote[1396].end 6815.57346875
transcript.pyannote[1397].speaker SPEAKER_27
transcript.pyannote[1397].start 6816.16409375
transcript.pyannote[1397].end 6819.62346875
transcript.pyannote[1398].speaker SPEAKER_27
transcript.pyannote[1398].start 6819.80909375
transcript.pyannote[1398].end 6820.28159375
transcript.pyannote[1399].speaker SPEAKER_27
transcript.pyannote[1399].start 6820.34909375
transcript.pyannote[1399].end 6820.75409375
transcript.pyannote[1400].speaker SPEAKER_27
transcript.pyannote[1400].start 6820.95659375
transcript.pyannote[1400].end 6824.87159375
transcript.pyannote[1401].speaker SPEAKER_27
transcript.pyannote[1401].start 6825.37784375
transcript.pyannote[1401].end 6829.30971875
transcript.pyannote[1402].speaker SPEAKER_27
transcript.pyannote[1402].start 6829.79909375
transcript.pyannote[1402].end 6832.22909375
transcript.pyannote[1403].speaker SPEAKER_27
transcript.pyannote[1403].start 6832.71846875
transcript.pyannote[1403].end 6834.42284375
transcript.pyannote[1404].speaker SPEAKER_27
transcript.pyannote[1404].start 6834.92909375
transcript.pyannote[1404].end 6835.35096875
transcript.pyannote[1405].speaker SPEAKER_27
transcript.pyannote[1405].start 6835.53659375
transcript.pyannote[1405].end 6836.88659375
transcript.pyannote[1406].speaker SPEAKER_27
transcript.pyannote[1406].start 6837.51096875
transcript.pyannote[1406].end 6842.75909375
transcript.pyannote[1407].speaker SPEAKER_27
transcript.pyannote[1407].start 6843.13034375
transcript.pyannote[1407].end 6844.14284375
transcript.pyannote[1408].speaker SPEAKER_27
transcript.pyannote[1408].start 6844.80096875
transcript.pyannote[1408].end 6845.89784375
transcript.pyannote[1409].speaker SPEAKER_27
transcript.pyannote[1409].start 6846.26909375
transcript.pyannote[1409].end 6851.97284375
transcript.pyannote[1410].speaker SPEAKER_27
transcript.pyannote[1410].start 6852.32721875
transcript.pyannote[1410].end 6853.96409375
transcript.pyannote[1411].speaker SPEAKER_27
transcript.pyannote[1411].start 6854.35221875
transcript.pyannote[1411].end 6855.12846875
transcript.pyannote[1412].speaker SPEAKER_27
transcript.pyannote[1412].start 6856.03971875
transcript.pyannote[1412].end 6857.65971875
transcript.pyannote[1413].speaker SPEAKER_27
transcript.pyannote[1413].start 6858.41909375
transcript.pyannote[1413].end 6859.06034375
transcript.pyannote[1414].speaker SPEAKER_27
transcript.pyannote[1414].start 6859.68471875
transcript.pyannote[1414].end 6861.00096875
transcript.pyannote[1415].speaker SPEAKER_27
transcript.pyannote[1415].start 6861.69284375
transcript.pyannote[1415].end 6863.61659375
transcript.pyannote[1416].speaker SPEAKER_27
transcript.pyannote[1416].start 6864.27471875
transcript.pyannote[1416].end 6864.93284375
transcript.pyannote[1417].speaker SPEAKER_27
transcript.pyannote[1417].start 6865.40534375
transcript.pyannote[1417].end 6865.96221875
transcript.pyannote[1418].speaker SPEAKER_27
transcript.pyannote[1418].start 6866.16471875
transcript.pyannote[1418].end 6868.42596875
transcript.pyannote[1419].speaker SPEAKER_27
transcript.pyannote[1419].start 6869.35409375
transcript.pyannote[1419].end 6870.48471875
transcript.pyannote[1420].speaker SPEAKER_27
transcript.pyannote[1420].start 6870.90659375
transcript.pyannote[1420].end 6872.03721875
transcript.pyannote[1421].speaker SPEAKER_27
transcript.pyannote[1421].start 6872.81346875
transcript.pyannote[1421].end 6874.53471875
transcript.pyannote[1422].speaker SPEAKER_27
transcript.pyannote[1422].start 6875.32784375
transcript.pyannote[1422].end 6877.92659375
transcript.pyannote[1423].speaker SPEAKER_27
transcript.pyannote[1423].start 6879.04034375
transcript.pyannote[1423].end 6880.17096875
transcript.pyannote[1424].speaker SPEAKER_27
transcript.pyannote[1424].start 6880.87971875
transcript.pyannote[1424].end 6882.41534375
transcript.pyannote[1425].speaker SPEAKER_27
transcript.pyannote[1425].start 6882.92159375
transcript.pyannote[1425].end 6884.77784375
transcript.pyannote[1426].speaker SPEAKER_27
transcript.pyannote[1426].start 6885.21659375
transcript.pyannote[1426].end 6885.65534375
transcript.pyannote[1427].speaker SPEAKER_27
transcript.pyannote[1427].start 6885.90846875
transcript.pyannote[1427].end 6887.51159375
transcript.pyannote[1428].speaker SPEAKER_27
transcript.pyannote[1428].start 6888.16971875
transcript.pyannote[1428].end 6888.86159375
transcript.pyannote[1429].speaker SPEAKER_27
transcript.pyannote[1429].start 6890.11034375
transcript.pyannote[1429].end 6892.87784375
transcript.pyannote[1430].speaker SPEAKER_27
transcript.pyannote[1430].start 6893.51909375
transcript.pyannote[1430].end 6896.80971875
transcript.pyannote[1431].speaker SPEAKER_27
transcript.pyannote[1431].start 6897.48471875
transcript.pyannote[1431].end 6900.15096875
transcript.pyannote[1432].speaker SPEAKER_27
transcript.pyannote[1432].start 6900.53909375
transcript.pyannote[1432].end 6905.23034375
transcript.pyannote[1433].speaker SPEAKER_27
transcript.pyannote[1433].start 6905.58471875
transcript.pyannote[1433].end 6906.59721875
transcript.pyannote[1434].speaker SPEAKER_27
transcript.pyannote[1434].start 6907.27221875
transcript.pyannote[1434].end 6908.40284375
transcript.pyannote[1435].speaker SPEAKER_27
transcript.pyannote[1435].start 6909.92159375
transcript.pyannote[1435].end 6917.21159375
transcript.pyannote[1436].speaker SPEAKER_00
transcript.pyannote[1436].start 6911.37284375
transcript.pyannote[1436].end 6913.22909375
transcript.pyannote[1437].speaker SPEAKER_27
transcript.pyannote[1437].start 6917.68409375
transcript.pyannote[1437].end 6920.43471875
transcript.pyannote[1438].speaker SPEAKER_27
transcript.pyannote[1438].start 6920.70471875
transcript.pyannote[1438].end 6921.63284375
transcript.pyannote[1439].speaker SPEAKER_27
transcript.pyannote[1439].start 6922.59471875
transcript.pyannote[1439].end 6923.99534375
transcript.pyannote[1440].speaker SPEAKER_27
transcript.pyannote[1440].start 6924.29909375
transcript.pyannote[1440].end 6925.31159375
transcript.pyannote[1441].speaker SPEAKER_27
transcript.pyannote[1441].start 6925.73346875
transcript.pyannote[1441].end 6927.92721875
transcript.pyannote[1442].speaker SPEAKER_27
transcript.pyannote[1442].start 6928.63596875
transcript.pyannote[1442].end 6929.24346875
transcript.pyannote[1443].speaker SPEAKER_27
transcript.pyannote[1443].start 6929.90159375
transcript.pyannote[1443].end 6931.31909375
transcript.pyannote[1444].speaker SPEAKER_27
transcript.pyannote[1444].start 6932.23034375
transcript.pyannote[1444].end 6932.80409375
transcript.pyannote[1445].speaker SPEAKER_27
transcript.pyannote[1445].start 6933.37784375
transcript.pyannote[1445].end 6938.50784375
transcript.pyannote[1446].speaker SPEAKER_27
transcript.pyannote[1446].start 6939.60471875
transcript.pyannote[1446].end 6941.02221875
transcript.pyannote[1447].speaker SPEAKER_27
transcript.pyannote[1447].start 6941.47784375
transcript.pyannote[1447].end 6942.81096875
transcript.pyannote[1448].speaker SPEAKER_27
transcript.pyannote[1448].start 6943.13159375
transcript.pyannote[1448].end 6944.46471875
transcript.pyannote[1449].speaker SPEAKER_27
transcript.pyannote[1449].start 6944.71784375
transcript.pyannote[1449].end 6946.13534375
transcript.pyannote[1450].speaker SPEAKER_27
transcript.pyannote[1450].start 6946.97909375
transcript.pyannote[1450].end 6948.66659375
transcript.pyannote[1451].speaker SPEAKER_27
transcript.pyannote[1451].start 6949.40909375
transcript.pyannote[1451].end 6951.29909375
transcript.pyannote[1452].speaker SPEAKER_27
transcript.pyannote[1452].start 6951.77159375
transcript.pyannote[1452].end 6952.46346875
transcript.pyannote[1453].speaker SPEAKER_27
transcript.pyannote[1453].start 6952.68284375
transcript.pyannote[1453].end 6955.63596875
transcript.pyannote[1454].speaker SPEAKER_27
transcript.pyannote[1454].start 6956.17596875
transcript.pyannote[1454].end 6956.90159375
transcript.pyannote[1455].speaker SPEAKER_27
transcript.pyannote[1455].start 6957.52596875
transcript.pyannote[1455].end 6958.62284375
transcript.pyannote[1456].speaker SPEAKER_27
transcript.pyannote[1456].start 6959.70284375
transcript.pyannote[1456].end 6966.33471875
transcript.pyannote[1457].speaker SPEAKER_27
transcript.pyannote[1457].start 6967.11096875
transcript.pyannote[1457].end 6968.35971875
transcript.pyannote[1458].speaker SPEAKER_27
transcript.pyannote[1458].start 6969.42284375
transcript.pyannote[1458].end 6972.59534375
transcript.pyannote[1459].speaker SPEAKER_27
transcript.pyannote[1459].start 6973.54034375
transcript.pyannote[1459].end 6977.05034375
transcript.pyannote[1460].speaker SPEAKER_27
transcript.pyannote[1460].start 6977.57346875
transcript.pyannote[1460].end 6980.23971875
transcript.pyannote[1461].speaker SPEAKER_27
transcript.pyannote[1461].start 6980.49284375
transcript.pyannote[1461].end 6989.95971875
transcript.pyannote[1462].speaker SPEAKER_27
transcript.pyannote[1462].start 6990.36471875
transcript.pyannote[1462].end 6991.59659375
transcript.pyannote[1463].speaker SPEAKER_27
transcript.pyannote[1463].start 6991.74846875
transcript.pyannote[1463].end 6992.11971875
transcript.pyannote[1464].speaker SPEAKER_27
transcript.pyannote[1464].start 6992.42346875
transcript.pyannote[1464].end 6994.66784375
transcript.pyannote[1465].speaker SPEAKER_17
transcript.pyannote[1465].start 7002.58221875
transcript.pyannote[1465].end 7008.33659375
transcript.pyannote[1466].speaker SPEAKER_02
transcript.pyannote[1466].start 7017.98909375
transcript.pyannote[1466].end 7021.39784375
transcript.pyannote[1467].speaker SPEAKER_17
transcript.pyannote[1467].start 7021.02659375
transcript.pyannote[1467].end 7021.21221875
transcript.pyannote[1468].speaker SPEAKER_17
transcript.pyannote[1468].start 7022.37659375
transcript.pyannote[1468].end 7023.38909375
transcript.pyannote[1469].speaker SPEAKER_02
transcript.pyannote[1469].start 7029.70034375
transcript.pyannote[1469].end 7030.17284375
transcript.pyannote[1470].speaker SPEAKER_02
transcript.pyannote[1470].start 7030.52721875
transcript.pyannote[1470].end 7067.97284375
transcript.pyannote[1471].speaker SPEAKER_02
transcript.pyannote[1471].start 7068.64784375
transcript.pyannote[1471].end 7089.01596875
transcript.pyannote[1472].speaker SPEAKER_02
transcript.pyannote[1472].start 7089.48846875
transcript.pyannote[1472].end 7099.51221875
transcript.pyannote[1473].speaker SPEAKER_02
transcript.pyannote[1473].start 7099.98471875
transcript.pyannote[1473].end 7113.29909375
transcript.pyannote[1474].speaker SPEAKER_02
transcript.pyannote[1474].start 7113.73784375
transcript.pyannote[1474].end 7113.97409375
transcript.pyannote[1475].speaker SPEAKER_22
transcript.pyannote[1475].start 7113.97409375
transcript.pyannote[1475].end 7120.50471875
transcript.pyannote[1476].speaker SPEAKER_22
transcript.pyannote[1476].start 7120.69034375
transcript.pyannote[1476].end 7121.06159375
transcript.pyannote[1477].speaker SPEAKER_22
transcript.pyannote[1477].start 7121.24721875
transcript.pyannote[1477].end 7126.66409375
transcript.pyannote[1478].speaker SPEAKER_41
transcript.pyannote[1478].start 7121.36534375
transcript.pyannote[1478].end 7121.50034375
transcript.pyannote[1479].speaker SPEAKER_22
transcript.pyannote[1479].start 7127.05221875
transcript.pyannote[1479].end 7129.60034375
transcript.pyannote[1480].speaker SPEAKER_22
transcript.pyannote[1480].start 7130.03909375
transcript.pyannote[1480].end 7130.08971875
transcript.pyannote[1481].speaker SPEAKER_02
transcript.pyannote[1481].start 7130.08971875
transcript.pyannote[1481].end 7130.20784375
transcript.pyannote[1482].speaker SPEAKER_22
transcript.pyannote[1482].start 7130.20784375
transcript.pyannote[1482].end 7130.37659375
transcript.pyannote[1483].speaker SPEAKER_02
transcript.pyannote[1483].start 7130.37659375
transcript.pyannote[1483].end 7146.67784375
transcript.pyannote[1484].speaker SPEAKER_22
transcript.pyannote[1484].start 7130.39346875
transcript.pyannote[1484].end 7131.97971875
transcript.pyannote[1485].speaker SPEAKER_02
transcript.pyannote[1485].start 7146.96471875
transcript.pyannote[1485].end 7147.01534375
transcript.pyannote[1486].speaker SPEAKER_22
transcript.pyannote[1486].start 7147.01534375
transcript.pyannote[1486].end 7152.06096875
transcript.pyannote[1487].speaker SPEAKER_22
transcript.pyannote[1487].start 7152.46596875
transcript.pyannote[1487].end 7157.78159375
transcript.pyannote[1488].speaker SPEAKER_39
transcript.pyannote[1488].start 7157.78159375
transcript.pyannote[1488].end 7157.93346875
transcript.pyannote[1489].speaker SPEAKER_22
transcript.pyannote[1489].start 7157.93346875
transcript.pyannote[1489].end 7159.35096875
transcript.pyannote[1490].speaker SPEAKER_39
transcript.pyannote[1490].start 7157.95034375
transcript.pyannote[1490].end 7157.96721875
transcript.pyannote[1491].speaker SPEAKER_39
transcript.pyannote[1491].start 7157.98409375
transcript.pyannote[1491].end 7158.00096875
transcript.pyannote[1492].speaker SPEAKER_22
transcript.pyannote[1492].start 7159.92471875
transcript.pyannote[1492].end 7163.41784375
transcript.pyannote[1493].speaker SPEAKER_22
transcript.pyannote[1493].start 7163.63721875
transcript.pyannote[1493].end 7166.18534375
transcript.pyannote[1494].speaker SPEAKER_21
transcript.pyannote[1494].start 7163.65409375
transcript.pyannote[1494].end 7164.21096875
transcript.pyannote[1495].speaker SPEAKER_22
transcript.pyannote[1495].start 7166.21909375
transcript.pyannote[1495].end 7170.03284375
transcript.pyannote[1496].speaker SPEAKER_02
transcript.pyannote[1496].start 7170.03284375
transcript.pyannote[1496].end 7183.71846875
transcript.pyannote[1497].speaker SPEAKER_02
transcript.pyannote[1497].start 7183.88721875
transcript.pyannote[1497].end 7229.01096875
transcript.pyannote[1498].speaker SPEAKER_02
transcript.pyannote[1498].start 7229.82096875
transcript.pyannote[1498].end 7230.96846875
transcript.pyannote[1499].speaker SPEAKER_22
transcript.pyannote[1499].start 7230.96846875
transcript.pyannote[1499].end 7252.21409375
transcript.pyannote[1500].speaker SPEAKER_22
transcript.pyannote[1500].start 7252.70346875
transcript.pyannote[1500].end 7261.51221875
transcript.pyannote[1501].speaker SPEAKER_22
transcript.pyannote[1501].start 7261.56284375
transcript.pyannote[1501].end 7266.99659375
transcript.pyannote[1502].speaker SPEAKER_02
transcript.pyannote[1502].start 7266.99659375
transcript.pyannote[1502].end 7267.75596875
transcript.pyannote[1503].speaker SPEAKER_22
transcript.pyannote[1503].start 7267.03034375
transcript.pyannote[1503].end 7267.31721875
transcript.pyannote[1504].speaker SPEAKER_40
transcript.pyannote[1504].start 7267.31721875
transcript.pyannote[1504].end 7267.55346875
transcript.pyannote[1505].speaker SPEAKER_22
transcript.pyannote[1505].start 7267.55346875
transcript.pyannote[1505].end 7267.68846875
transcript.pyannote[1506].speaker SPEAKER_40
transcript.pyannote[1506].start 7267.75596875
transcript.pyannote[1506].end 7268.07659375
transcript.pyannote[1507].speaker SPEAKER_02
transcript.pyannote[1507].start 7268.07659375
transcript.pyannote[1507].end 7280.41221875
transcript.pyannote[1508].speaker SPEAKER_02
transcript.pyannote[1508].start 7280.53034375
transcript.pyannote[1508].end 7294.78971875
transcript.pyannote[1509].speaker SPEAKER_02
transcript.pyannote[1509].start 7295.21159375
transcript.pyannote[1509].end 7297.99596875
transcript.pyannote[1510].speaker SPEAKER_03
transcript.pyannote[1510].start 7299.29534375
transcript.pyannote[1510].end 7316.59221875
transcript.pyannote[1511].speaker SPEAKER_02
transcript.pyannote[1511].start 7312.40721875
transcript.pyannote[1511].end 7314.68534375
transcript.pyannote[1512].speaker SPEAKER_02
transcript.pyannote[1512].start 7316.59221875
transcript.pyannote[1512].end 7317.31784375
transcript.pyannote[1513].speaker SPEAKER_03
transcript.pyannote[1513].start 7316.67659375
transcript.pyannote[1513].end 7317.18284375
transcript.pyannote[1514].speaker SPEAKER_03
transcript.pyannote[1514].start 7317.31784375
transcript.pyannote[1514].end 7317.33471875
transcript.pyannote[1515].speaker SPEAKER_02
transcript.pyannote[1515].start 7317.33471875
transcript.pyannote[1515].end 7317.36846875
transcript.pyannote[1516].speaker SPEAKER_03
transcript.pyannote[1516].start 7317.55409375
transcript.pyannote[1516].end 7324.99596875
transcript.pyannote[1517].speaker SPEAKER_02
transcript.pyannote[1517].start 7318.06034375
transcript.pyannote[1517].end 7318.85346875
transcript.pyannote[1518].speaker SPEAKER_03
transcript.pyannote[1518].start 7325.13096875
transcript.pyannote[1518].end 7329.88971875
transcript.pyannote[1519].speaker SPEAKER_03
transcript.pyannote[1519].start 7330.24409375
transcript.pyannote[1519].end 7339.84596875
transcript.pyannote[1520].speaker SPEAKER_02
transcript.pyannote[1520].start 7334.07471875
transcript.pyannote[1520].end 7334.91846875
transcript.pyannote[1521].speaker SPEAKER_02
transcript.pyannote[1521].start 7339.84596875
transcript.pyannote[1521].end 7339.99784375
transcript.pyannote[1522].speaker SPEAKER_03
transcript.pyannote[1522].start 7339.99784375
transcript.pyannote[1522].end 7340.03159375
transcript.pyannote[1523].speaker SPEAKER_02
transcript.pyannote[1523].start 7340.03159375
transcript.pyannote[1523].end 7340.04846875
transcript.pyannote[1524].speaker SPEAKER_03
transcript.pyannote[1524].start 7340.04846875
transcript.pyannote[1524].end 7340.08221875
transcript.pyannote[1525].speaker SPEAKER_02
transcript.pyannote[1525].start 7340.08221875
transcript.pyannote[1525].end 7340.11596875
transcript.pyannote[1526].speaker SPEAKER_02
transcript.pyannote[1526].start 7340.38596875
transcript.pyannote[1526].end 7351.10159375
transcript.pyannote[1527].speaker SPEAKER_03
transcript.pyannote[1527].start 7344.25034375
transcript.pyannote[1527].end 7345.53284375
transcript.pyannote[1528].speaker SPEAKER_30
transcript.pyannote[1528].start 7347.99659375
transcript.pyannote[1528].end 7348.01346875
transcript.pyannote[1529].speaker SPEAKER_03
transcript.pyannote[1529].start 7348.01346875
transcript.pyannote[1529].end 7348.57034375
transcript.pyannote[1530].speaker SPEAKER_00
transcript.pyannote[1530].start 7348.57034375
transcript.pyannote[1530].end 7348.60409375
transcript.pyannote[1531].speaker SPEAKER_02
transcript.pyannote[1531].start 7351.42221875
transcript.pyannote[1531].end 7373.10659375
transcript.pyannote[1532].speaker SPEAKER_02
transcript.pyannote[1532].start 7373.56221875
transcript.pyannote[1532].end 7378.77659375
transcript.pyannote[1533].speaker SPEAKER_02
transcript.pyannote[1533].start 7379.33346875
transcript.pyannote[1533].end 7381.42596875
transcript.pyannote[1534].speaker SPEAKER_22
transcript.pyannote[1534].start 7381.99971875
transcript.pyannote[1534].end 7382.87721875
transcript.pyannote[1535].speaker SPEAKER_22
transcript.pyannote[1535].start 7383.24846875
transcript.pyannote[1535].end 7385.96534375
transcript.pyannote[1536].speaker SPEAKER_02
transcript.pyannote[1536].start 7384.54784375
transcript.pyannote[1536].end 7384.88534375
transcript.pyannote[1537].speaker SPEAKER_20
transcript.pyannote[1537].start 7385.96534375
transcript.pyannote[1537].end 7385.98221875
transcript.pyannote[1538].speaker SPEAKER_22
transcript.pyannote[1538].start 7385.98221875
transcript.pyannote[1538].end 7386.08346875
transcript.pyannote[1539].speaker SPEAKER_20
transcript.pyannote[1539].start 7386.38721875
transcript.pyannote[1539].end 7391.95596875
transcript.pyannote[1540].speaker SPEAKER_02
transcript.pyannote[1540].start 7392.78284375
transcript.pyannote[1540].end 7411.42971875
transcript.pyannote[1541].speaker SPEAKER_02
transcript.pyannote[1541].start 7413.92721875
transcript.pyannote[1541].end 7414.78784375
transcript.pyannote[1542].speaker SPEAKER_22
transcript.pyannote[1542].start 7416.52596875
transcript.pyannote[1542].end 7419.44534375
transcript.pyannote[1543].speaker SPEAKER_06
transcript.pyannote[1543].start 7419.44534375
transcript.pyannote[1543].end 7420.30596875
transcript.pyannote[1544].speaker SPEAKER_22
transcript.pyannote[1544].start 7420.62659375
transcript.pyannote[1544].end 7420.93034375
transcript.pyannote[1545].speaker SPEAKER_22
transcript.pyannote[1545].start 7425.62159375
transcript.pyannote[1545].end 7431.61221875
transcript.pyannote[1546].speaker SPEAKER_39
transcript.pyannote[1546].start 7431.19034375
transcript.pyannote[1546].end 7431.66284375
transcript.pyannote[1547].speaker SPEAKER_02
transcript.pyannote[1547].start 7431.66284375
transcript.pyannote[1547].end 7431.67971875
transcript.pyannote[1548].speaker SPEAKER_39
transcript.pyannote[1548].start 7431.67971875
transcript.pyannote[1548].end 7431.71346875
transcript.pyannote[1549].speaker SPEAKER_22
transcript.pyannote[1549].start 7431.71346875
transcript.pyannote[1549].end 7435.57784375
transcript.pyannote[1550].speaker SPEAKER_22
transcript.pyannote[1550].start 7436.08409375
transcript.pyannote[1550].end 7438.02471875
transcript.pyannote[1551].speaker SPEAKER_02
transcript.pyannote[1551].start 7438.02471875
transcript.pyannote[1551].end 7461.93659375
transcript.pyannote[1552].speaker SPEAKER_02
transcript.pyannote[1552].start 7462.57784375
transcript.pyannote[1552].end 7471.43721875
transcript.pyannote[1553].speaker SPEAKER_02
transcript.pyannote[1553].start 7472.51721875
transcript.pyannote[1553].end 7482.62534375
transcript.pyannote[1554].speaker SPEAKER_02
transcript.pyannote[1554].start 7482.86159375
transcript.pyannote[1554].end 7492.09221875
transcript.pyannote[1555].speaker SPEAKER_02
transcript.pyannote[1555].start 7492.66596875
transcript.pyannote[1555].end 7504.93409375
transcript.pyannote[1556].speaker SPEAKER_02
transcript.pyannote[1556].start 7505.15346875
transcript.pyannote[1556].end 7511.49846875
transcript.pyannote[1557].speaker SPEAKER_02
transcript.pyannote[1557].start 7512.10596875
transcript.pyannote[1557].end 7512.74721875
transcript.pyannote[1558].speaker SPEAKER_02
transcript.pyannote[1558].start 7513.11846875
transcript.pyannote[1558].end 7518.07971875
transcript.pyannote[1559].speaker SPEAKER_02
transcript.pyannote[1559].start 7521.23534375
transcript.pyannote[1559].end 7523.02409375
transcript.pyannote[1560].speaker SPEAKER_03
transcript.pyannote[1560].start 7523.68221875
transcript.pyannote[1560].end 7524.00284375
transcript.pyannote[1561].speaker SPEAKER_02
transcript.pyannote[1561].start 7524.22221875
transcript.pyannote[1561].end 7525.30221875
transcript.pyannote[1562].speaker SPEAKER_02
transcript.pyannote[1562].start 7528.66034375
transcript.pyannote[1562].end 7536.52409375
transcript.pyannote[1563].speaker SPEAKER_08
transcript.pyannote[1563].start 7529.20034375
transcript.pyannote[1563].end 7529.25096875
transcript.pyannote[1564].speaker SPEAKER_02
transcript.pyannote[1564].start 7537.08096875
transcript.pyannote[1564].end 7541.58659375
transcript.pyannote[1565].speaker SPEAKER_22
transcript.pyannote[1565].start 7542.26159375
transcript.pyannote[1565].end 7542.31221875
transcript.pyannote[1566].speaker SPEAKER_22
transcript.pyannote[1566].start 7543.25721875
transcript.pyannote[1566].end 7547.13846875
transcript.pyannote[1567].speaker SPEAKER_02
transcript.pyannote[1567].start 7546.21034375
transcript.pyannote[1567].end 7546.80096875
transcript.pyannote[1568].speaker SPEAKER_02
transcript.pyannote[1568].start 7547.13846875
transcript.pyannote[1568].end 7560.14909375
transcript.pyannote[1569].speaker SPEAKER_02
transcript.pyannote[1569].start 7560.72284375
transcript.pyannote[1569].end 7561.19534375
transcript.pyannote[1570].speaker SPEAKER_02
transcript.pyannote[1570].start 7561.46534375
transcript.pyannote[1570].end 7567.77659375
transcript.pyannote[1571].speaker SPEAKER_02
transcript.pyannote[1571].start 7568.46846875
transcript.pyannote[1571].end 7579.18409375
transcript.pyannote[1572].speaker SPEAKER_02
transcript.pyannote[1572].start 7579.99409375
transcript.pyannote[1572].end 7580.58471875
transcript.pyannote[1573].speaker SPEAKER_02
transcript.pyannote[1573].start 7580.97284375
transcript.pyannote[1573].end 7581.04034375
transcript.pyannote[1574].speaker SPEAKER_03
transcript.pyannote[1574].start 7581.04034375
transcript.pyannote[1574].end 7581.12471875
transcript.pyannote[1575].speaker SPEAKER_03
transcript.pyannote[1575].start 7581.24284375
transcript.pyannote[1575].end 7600.85159375
transcript.pyannote[1576].speaker SPEAKER_02
transcript.pyannote[1576].start 7599.04596875
transcript.pyannote[1576].end 7609.96409375
transcript.pyannote[1577].speaker SPEAKER_03
transcript.pyannote[1577].start 7600.90221875
transcript.pyannote[1577].end 7600.93596875
transcript.pyannote[1578].speaker SPEAKER_03
transcript.pyannote[1578].start 7604.12534375
transcript.pyannote[1578].end 7605.03659375
transcript.pyannote[1579].speaker SPEAKER_03
transcript.pyannote[1579].start 7605.22221875
transcript.pyannote[1579].end 7605.71159375
transcript.pyannote[1580].speaker SPEAKER_45
transcript.pyannote[1580].start 7607.21346875
transcript.pyannote[1580].end 7607.23034375
transcript.pyannote[1581].speaker SPEAKER_03
transcript.pyannote[1581].start 7607.23034375
transcript.pyannote[1581].end 7608.76596875
transcript.pyannote[1582].speaker SPEAKER_03
transcript.pyannote[1582].start 7609.96409375
transcript.pyannote[1582].end 7610.08221875
transcript.pyannote[1583].speaker SPEAKER_03
transcript.pyannote[1583].start 7610.14971875
transcript.pyannote[1583].end 7613.84534375
transcript.pyannote[1584].speaker SPEAKER_02
transcript.pyannote[1584].start 7610.84159375
transcript.pyannote[1584].end 7612.09034375
transcript.pyannote[1585].speaker SPEAKER_02
transcript.pyannote[1585].start 7613.84534375
transcript.pyannote[1585].end 7640.10284375
transcript.pyannote[1586].speaker SPEAKER_02
transcript.pyannote[1586].start 7642.46534375
transcript.pyannote[1586].end 7643.61284375
transcript.pyannote[1587].speaker SPEAKER_02
transcript.pyannote[1587].start 7644.27096875
transcript.pyannote[1587].end 7648.13534375
transcript.pyannote[1588].speaker SPEAKER_02
transcript.pyannote[1588].start 7649.09721875
transcript.pyannote[1588].end 7649.72159375
transcript.pyannote[1589].speaker SPEAKER_02
transcript.pyannote[1589].start 7650.46409375
transcript.pyannote[1589].end 7651.44284375
transcript.pyannote[1590].speaker SPEAKER_22
transcript.pyannote[1590].start 7653.18096875
transcript.pyannote[1590].end 7653.65346875
transcript.pyannote[1591].speaker SPEAKER_02
transcript.pyannote[1591].start 7653.65346875
transcript.pyannote[1591].end 7653.87284375
transcript.pyannote[1592].speaker SPEAKER_22
transcript.pyannote[1592].start 7653.87284375
transcript.pyannote[1592].end 7654.90221875
transcript.pyannote[1593].speaker SPEAKER_02
transcript.pyannote[1593].start 7654.90221875
transcript.pyannote[1593].end 7655.30721875
transcript.pyannote[1594].speaker SPEAKER_02
transcript.pyannote[1594].start 7655.42534375
transcript.pyannote[1594].end 7655.45909375
transcript.pyannote[1595].speaker SPEAKER_22
transcript.pyannote[1595].start 7655.45909375
transcript.pyannote[1595].end 7655.84721875
transcript.pyannote[1596].speaker SPEAKER_02
transcript.pyannote[1596].start 7655.74596875
transcript.pyannote[1596].end 7659.12096875
transcript.pyannote[1597].speaker SPEAKER_02
transcript.pyannote[1597].start 7659.45846875
transcript.pyannote[1597].end 7659.96471875
transcript.pyannote[1598].speaker SPEAKER_22
transcript.pyannote[1598].start 7659.96471875
transcript.pyannote[1598].end 7674.94971875
transcript.pyannote[1599].speaker SPEAKER_02
transcript.pyannote[1599].start 7667.05221875
transcript.pyannote[1599].end 7667.69346875
transcript.pyannote[1600].speaker SPEAKER_02
transcript.pyannote[1600].start 7673.09346875
transcript.pyannote[1600].end 7680.82221875
transcript.pyannote[1601].speaker SPEAKER_22
transcript.pyannote[1601].start 7676.89034375
transcript.pyannote[1601].end 7678.35846875
transcript.pyannote[1602].speaker SPEAKER_22
transcript.pyannote[1602].start 7679.77596875
transcript.pyannote[1602].end 7684.87221875
transcript.pyannote[1603].speaker SPEAKER_22
transcript.pyannote[1603].start 7685.14221875
transcript.pyannote[1603].end 7686.03659375
transcript.pyannote[1604].speaker SPEAKER_02
transcript.pyannote[1604].start 7686.03659375
transcript.pyannote[1604].end 7705.66221875
transcript.pyannote[1605].speaker SPEAKER_02
transcript.pyannote[1605].start 7706.40471875
transcript.pyannote[1605].end 7726.01346875
transcript.pyannote[1606].speaker SPEAKER_02
transcript.pyannote[1606].start 7726.36784375
transcript.pyannote[1606].end 7736.89784375
transcript.pyannote[1607].speaker SPEAKER_03
transcript.pyannote[1607].start 7731.46409375
transcript.pyannote[1607].end 7733.94471875
transcript.pyannote[1608].speaker SPEAKER_22
transcript.pyannote[1608].start 7733.94471875
transcript.pyannote[1608].end 7733.96159375
transcript.pyannote[1609].speaker SPEAKER_03
transcript.pyannote[1609].start 7736.89784375
transcript.pyannote[1609].end 7767.03659375
transcript.pyannote[1610].speaker SPEAKER_02
transcript.pyannote[1610].start 7767.03659375
transcript.pyannote[1610].end 7782.42659375
transcript.pyannote[1611].speaker SPEAKER_03
transcript.pyannote[1611].start 7767.15471875
transcript.pyannote[1611].end 7771.74471875
transcript.pyannote[1612].speaker SPEAKER_00
transcript.pyannote[1612].start 7771.74471875
transcript.pyannote[1612].end 7771.86284375
transcript.pyannote[1613].speaker SPEAKER_00
transcript.pyannote[1613].start 7774.00596875
transcript.pyannote[1613].end 7776.21659375
transcript.pyannote[1614].speaker SPEAKER_00
transcript.pyannote[1614].start 7776.46971875
transcript.pyannote[1614].end 7776.48659375
transcript.pyannote[1615].speaker SPEAKER_00
transcript.pyannote[1615].start 7776.77346875
transcript.pyannote[1615].end 7777.02659375
transcript.pyannote[1616].speaker SPEAKER_39
transcript.pyannote[1616].start 7777.02659375
transcript.pyannote[1616].end 7777.06034375
transcript.pyannote[1617].speaker SPEAKER_03
transcript.pyannote[1617].start 7777.06034375
transcript.pyannote[1617].end 7777.80284375
transcript.pyannote[1618].speaker SPEAKER_39
transcript.pyannote[1618].start 7777.80284375
transcript.pyannote[1618].end 7777.85346875
transcript.pyannote[1619].speaker SPEAKER_17
transcript.pyannote[1619].start 7788.18096875
transcript.pyannote[1619].end 7789.80096875
transcript.pyannote[1620].speaker SPEAKER_00
transcript.pyannote[1620].start 7795.11659375
transcript.pyannote[1620].end 7797.81659375
transcript.pyannote[1621].speaker SPEAKER_00
transcript.pyannote[1621].start 7798.00221875
transcript.pyannote[1621].end 7798.94721875
transcript.pyannote[1622].speaker SPEAKER_00
transcript.pyannote[1622].start 7799.01471875
transcript.pyannote[1622].end 7800.38159375
transcript.pyannote[1623].speaker SPEAKER_01
transcript.pyannote[1623].start 7799.25096875
transcript.pyannote[1623].end 7800.02721875
transcript.pyannote[1624].speaker SPEAKER_44
transcript.pyannote[1624].start 7800.02721875
transcript.pyannote[1624].end 7800.14534375
transcript.pyannote[1625].speaker SPEAKER_01
transcript.pyannote[1625].start 7800.14534375
transcript.pyannote[1625].end 7800.24659375
transcript.pyannote[1626].speaker SPEAKER_00
transcript.pyannote[1626].start 7801.24221875
transcript.pyannote[1626].end 7802.10284375
transcript.pyannote[1627].speaker SPEAKER_44
transcript.pyannote[1627].start 7807.36784375
transcript.pyannote[1627].end 7808.02596875
transcript.pyannote[1628].speaker SPEAKER_00
transcript.pyannote[1628].start 7808.48159375
transcript.pyannote[1628].end 7808.97096875
transcript.pyannote[1629].speaker SPEAKER_01
transcript.pyannote[1629].start 7808.97096875
transcript.pyannote[1629].end 7809.59534375
transcript.pyannote[1630].speaker SPEAKER_00
transcript.pyannote[1630].start 7809.89909375
transcript.pyannote[1630].end 7809.91596875
transcript.pyannote[1631].speaker SPEAKER_01
transcript.pyannote[1631].start 7809.91596875
transcript.pyannote[1631].end 7816.49721875
transcript.pyannote[1632].speaker SPEAKER_22
transcript.pyannote[1632].start 7816.81784375
transcript.pyannote[1632].end 7819.93971875
transcript.pyannote[1633].speaker SPEAKER_01
transcript.pyannote[1633].start 7820.69909375
transcript.pyannote[1633].end 7823.12909375
transcript.pyannote[1634].speaker SPEAKER_22
transcript.pyannote[1634].start 7821.45846875
transcript.pyannote[1634].end 7822.63971875
transcript.pyannote[1635].speaker SPEAKER_01
transcript.pyannote[1635].start 7824.27659375
transcript.pyannote[1635].end 7830.31784375
transcript.pyannote[1636].speaker SPEAKER_22
transcript.pyannote[1636].start 7830.67221875
transcript.pyannote[1636].end 7833.54096875
transcript.pyannote[1637].speaker SPEAKER_01
transcript.pyannote[1637].start 7833.64221875
transcript.pyannote[1637].end 7837.03409375
transcript.pyannote[1638].speaker SPEAKER_01
transcript.pyannote[1638].start 7837.43909375
transcript.pyannote[1638].end 7840.93221875
transcript.pyannote[1639].speaker SPEAKER_01
transcript.pyannote[1639].start 7841.50596875
transcript.pyannote[1639].end 7844.54346875
transcript.pyannote[1640].speaker SPEAKER_22
transcript.pyannote[1640].start 7845.31971875
transcript.pyannote[1640].end 7845.38721875
transcript.pyannote[1641].speaker SPEAKER_05
transcript.pyannote[1641].start 7845.38721875
transcript.pyannote[1641].end 7845.50534375
transcript.pyannote[1642].speaker SPEAKER_22
transcript.pyannote[1642].start 7845.50534375
transcript.pyannote[1642].end 7845.60659375
transcript.pyannote[1643].speaker SPEAKER_05
transcript.pyannote[1643].start 7845.60659375
transcript.pyannote[1643].end 7847.37846875
transcript.pyannote[1644].speaker SPEAKER_01
transcript.pyannote[1644].start 7847.49659375
transcript.pyannote[1644].end 7847.83409375
transcript.pyannote[1645].speaker SPEAKER_05
transcript.pyannote[1645].start 7848.76221875
transcript.pyannote[1645].end 7857.99284375
transcript.pyannote[1646].speaker SPEAKER_01
transcript.pyannote[1646].start 7856.69346875
transcript.pyannote[1646].end 7860.99659375
transcript.pyannote[1647].speaker SPEAKER_01
transcript.pyannote[1647].start 7861.24971875
transcript.pyannote[1647].end 7864.11846875
transcript.pyannote[1648].speaker SPEAKER_39
transcript.pyannote[1648].start 7864.64159375
transcript.pyannote[1648].end 7864.84409375
transcript.pyannote[1649].speaker SPEAKER_01
transcript.pyannote[1649].start 7864.84409375
transcript.pyannote[1649].end 7890.69659375
transcript.pyannote[1650].speaker SPEAKER_01
transcript.pyannote[1650].start 7891.57409375
transcript.pyannote[1650].end 7895.48909375
transcript.pyannote[1651].speaker SPEAKER_01
transcript.pyannote[1651].start 7895.94471875
transcript.pyannote[1651].end 7904.77034375
transcript.pyannote[1652].speaker SPEAKER_05
transcript.pyannote[1652].start 7905.96846875
transcript.pyannote[1652].end 7917.64596875
transcript.pyannote[1653].speaker SPEAKER_01
transcript.pyannote[1653].start 7916.71784375
transcript.pyannote[1653].end 7923.78846875
transcript.pyannote[1654].speaker SPEAKER_01
transcript.pyannote[1654].start 7923.99096875
transcript.pyannote[1654].end 7927.93971875
transcript.pyannote[1655].speaker SPEAKER_01
transcript.pyannote[1655].start 7928.32784375
transcript.pyannote[1655].end 7930.99409375
transcript.pyannote[1656].speaker SPEAKER_01
transcript.pyannote[1656].start 7931.63534375
transcript.pyannote[1656].end 7933.35659375
transcript.pyannote[1657].speaker SPEAKER_01
transcript.pyannote[1657].start 7933.91346875
transcript.pyannote[1657].end 7936.44471875
transcript.pyannote[1658].speaker SPEAKER_01
transcript.pyannote[1658].start 7937.03534375
transcript.pyannote[1658].end 7938.19971875
transcript.pyannote[1659].speaker SPEAKER_01
transcript.pyannote[1659].start 7938.30096875
transcript.pyannote[1659].end 7939.90409375
transcript.pyannote[1660].speaker SPEAKER_01
transcript.pyannote[1660].start 7940.68034375
transcript.pyannote[1660].end 7944.83159375
transcript.pyannote[1661].speaker SPEAKER_01
transcript.pyannote[1661].start 7945.65846875
transcript.pyannote[1661].end 7947.22784375
transcript.pyannote[1662].speaker SPEAKER_01
transcript.pyannote[1662].start 7947.91971875
transcript.pyannote[1662].end 7949.96159375
transcript.pyannote[1663].speaker SPEAKER_01
transcript.pyannote[1663].start 7950.33284375
transcript.pyannote[1663].end 7956.54284375
transcript.pyannote[1664].speaker SPEAKER_01
transcript.pyannote[1664].start 7957.47096875
transcript.pyannote[1664].end 7958.07846875
transcript.pyannote[1665].speaker SPEAKER_01
transcript.pyannote[1665].start 7958.73659375
transcript.pyannote[1665].end 7960.39034375
transcript.pyannote[1666].speaker SPEAKER_01
transcript.pyannote[1666].start 7960.94721875
transcript.pyannote[1666].end 7964.37284375
transcript.pyannote[1667].speaker SPEAKER_01
transcript.pyannote[1667].start 7965.14909375
transcript.pyannote[1667].end 7967.17409375
transcript.pyannote[1668].speaker SPEAKER_01
transcript.pyannote[1668].start 7968.20346875
transcript.pyannote[1668].end 7975.66221875
transcript.pyannote[1669].speaker SPEAKER_01
transcript.pyannote[1669].start 7976.72534375
transcript.pyannote[1669].end 7979.77971875
transcript.pyannote[1670].speaker SPEAKER_01
transcript.pyannote[1670].start 7980.37034375
transcript.pyannote[1670].end 7983.47534375
transcript.pyannote[1671].speaker SPEAKER_05
transcript.pyannote[1671].start 7983.47534375
transcript.pyannote[1671].end 7997.27909375
transcript.pyannote[1672].speaker SPEAKER_05
transcript.pyannote[1672].start 7997.46471875
transcript.pyannote[1672].end 8016.46596875
transcript.pyannote[1673].speaker SPEAKER_01
transcript.pyannote[1673].start 8015.77409375
transcript.pyannote[1673].end 8026.35471875
transcript.pyannote[1674].speaker SPEAKER_05
transcript.pyannote[1674].start 8017.90034375
transcript.pyannote[1674].end 8018.47409375
transcript.pyannote[1675].speaker SPEAKER_39
transcript.pyannote[1675].start 8026.35471875
transcript.pyannote[1675].end 8026.84409375
transcript.pyannote[1676].speaker SPEAKER_01
transcript.pyannote[1676].start 8026.50659375
transcript.pyannote[1676].end 8031.83909375
transcript.pyannote[1677].speaker SPEAKER_39
transcript.pyannote[1677].start 8029.72971875
transcript.pyannote[1677].end 8029.99971875
transcript.pyannote[1678].speaker SPEAKER_01
transcript.pyannote[1678].start 8032.81784375
transcript.pyannote[1678].end 8038.80846875
transcript.pyannote[1679].speaker SPEAKER_01
transcript.pyannote[1679].start 8038.90971875
transcript.pyannote[1679].end 8049.89534375
transcript.pyannote[1680].speaker SPEAKER_00
transcript.pyannote[1680].start 8042.50409375
transcript.pyannote[1680].end 8042.52096875
transcript.pyannote[1681].speaker SPEAKER_14
transcript.pyannote[1681].start 8042.52096875
transcript.pyannote[1681].end 8042.90909375
transcript.pyannote[1682].speaker SPEAKER_01
transcript.pyannote[1682].start 8050.63784375
transcript.pyannote[1682].end 8056.72971875
transcript.pyannote[1683].speaker SPEAKER_01
transcript.pyannote[1683].start 8057.13471875
transcript.pyannote[1683].end 8058.13034375
transcript.pyannote[1684].speaker SPEAKER_01
transcript.pyannote[1684].start 8058.38346875
transcript.pyannote[1684].end 8073.11534375
transcript.pyannote[1685].speaker SPEAKER_01
transcript.pyannote[1685].start 8073.48659375
transcript.pyannote[1685].end 8074.56659375
transcript.pyannote[1686].speaker SPEAKER_01
transcript.pyannote[1686].start 8075.08971875
transcript.pyannote[1686].end 8076.22034375
transcript.pyannote[1687].speaker SPEAKER_01
transcript.pyannote[1687].start 8076.59159375
transcript.pyannote[1687].end 8079.84846875
transcript.pyannote[1688].speaker SPEAKER_05
transcript.pyannote[1688].start 8080.45596875
transcript.pyannote[1688].end 8113.76721875
transcript.pyannote[1689].speaker SPEAKER_05
transcript.pyannote[1689].start 8113.96971875
transcript.pyannote[1689].end 8120.24721875
transcript.pyannote[1690].speaker SPEAKER_01
transcript.pyannote[1690].start 8117.96909375
transcript.pyannote[1690].end 8123.18346875
transcript.pyannote[1691].speaker SPEAKER_01
transcript.pyannote[1691].start 8123.74034375
transcript.pyannote[1691].end 8127.25034375
transcript.pyannote[1692].speaker SPEAKER_05
transcript.pyannote[1692].start 8126.55846875
transcript.pyannote[1692].end 8126.76096875
transcript.pyannote[1693].speaker SPEAKER_05
transcript.pyannote[1693].start 8127.11534375
transcript.pyannote[1693].end 8127.46971875
transcript.pyannote[1694].speaker SPEAKER_01
transcript.pyannote[1694].start 8127.72284375
transcript.pyannote[1694].end 8137.94909375
transcript.pyannote[1695].speaker SPEAKER_01
transcript.pyannote[1695].start 8138.03346875
transcript.pyannote[1695].end 8142.92721875
transcript.pyannote[1696].speaker SPEAKER_01
transcript.pyannote[1696].start 8143.19721875
transcript.pyannote[1696].end 8147.85471875
transcript.pyannote[1697].speaker SPEAKER_05
transcript.pyannote[1697].start 8147.85471875
transcript.pyannote[1697].end 8148.96846875
transcript.pyannote[1698].speaker SPEAKER_01
transcript.pyannote[1698].start 8148.07409375
transcript.pyannote[1698].end 8149.57596875
transcript.pyannote[1699].speaker SPEAKER_01
transcript.pyannote[1699].start 8149.71096875
transcript.pyannote[1699].end 8150.26784375
transcript.pyannote[1700].speaker SPEAKER_01
transcript.pyannote[1700].start 8150.63909375
transcript.pyannote[1700].end 8151.82034375
transcript.pyannote[1701].speaker SPEAKER_01
transcript.pyannote[1701].start 8152.24221875
transcript.pyannote[1701].end 8154.75659375
transcript.pyannote[1702].speaker SPEAKER_01
transcript.pyannote[1702].start 8155.19534375
transcript.pyannote[1702].end 8162.58659375
transcript.pyannote[1703].speaker SPEAKER_01
transcript.pyannote[1703].start 8163.22784375
transcript.pyannote[1703].end 8164.49346875
transcript.pyannote[1704].speaker SPEAKER_01
transcript.pyannote[1704].start 8165.64096875
transcript.pyannote[1704].end 8169.45471875
transcript.pyannote[1705].speaker SPEAKER_01
transcript.pyannote[1705].start 8170.18034375
transcript.pyannote[1705].end 8171.80034375
transcript.pyannote[1706].speaker SPEAKER_01
transcript.pyannote[1706].start 8171.91846875
transcript.pyannote[1706].end 8173.30221875
transcript.pyannote[1707].speaker SPEAKER_01
transcript.pyannote[1707].start 8173.55534375
transcript.pyannote[1707].end 8174.68596875
transcript.pyannote[1708].speaker SPEAKER_01
transcript.pyannote[1708].start 8175.42846875
transcript.pyannote[1708].end 8176.57596875
transcript.pyannote[1709].speaker SPEAKER_05
transcript.pyannote[1709].start 8176.62659375
transcript.pyannote[1709].end 8181.87471875
transcript.pyannote[1710].speaker SPEAKER_01
transcript.pyannote[1710].start 8181.06471875
transcript.pyannote[1710].end 8192.37096875
transcript.pyannote[1711].speaker SPEAKER_05
transcript.pyannote[1711].start 8182.81971875
transcript.pyannote[1711].end 8182.83659375
transcript.pyannote[1712].speaker SPEAKER_05
transcript.pyannote[1712].start 8183.17409375
transcript.pyannote[1712].end 8183.44409375
transcript.pyannote[1713].speaker SPEAKER_05
transcript.pyannote[1713].start 8183.47784375
transcript.pyannote[1713].end 8183.51159375
transcript.pyannote[1714].speaker SPEAKER_01
transcript.pyannote[1714].start 8192.62409375
transcript.pyannote[1714].end 8197.72034375
transcript.pyannote[1715].speaker SPEAKER_01
transcript.pyannote[1715].start 8198.29409375
transcript.pyannote[1715].end 8204.77409375
transcript.pyannote[1716].speaker SPEAKER_01
transcript.pyannote[1716].start 8205.31409375
transcript.pyannote[1716].end 8207.59221875
transcript.pyannote[1717].speaker SPEAKER_01
transcript.pyannote[1717].start 8207.86221875
transcript.pyannote[1717].end 8209.41471875
transcript.pyannote[1718].speaker SPEAKER_05
transcript.pyannote[1718].start 8209.85346875
transcript.pyannote[1718].end 8210.66346875
transcript.pyannote[1719].speaker SPEAKER_01
transcript.pyannote[1719].start 8210.02221875
transcript.pyannote[1719].end 8215.94534375
transcript.pyannote[1720].speaker SPEAKER_39
transcript.pyannote[1720].start 8210.66346875
transcript.pyannote[1720].end 8210.68034375
transcript.pyannote[1721].speaker SPEAKER_01
transcript.pyannote[1721].start 8216.68784375
transcript.pyannote[1721].end 8219.91096875
transcript.pyannote[1722].speaker SPEAKER_01
transcript.pyannote[1722].start 8220.41721875
transcript.pyannote[1722].end 8220.58596875
transcript.pyannote[1723].speaker SPEAKER_01
transcript.pyannote[1723].start 8221.12596875
transcript.pyannote[1723].end 8221.85159375
transcript.pyannote[1724].speaker SPEAKER_01
transcript.pyannote[1724].start 8222.74596875
transcript.pyannote[1724].end 8229.49596875
transcript.pyannote[1725].speaker SPEAKER_01
transcript.pyannote[1725].start 8230.64346875
transcript.pyannote[1725].end 8239.58721875
transcript.pyannote[1726].speaker SPEAKER_05
transcript.pyannote[1726].start 8233.44471875
transcript.pyannote[1726].end 8233.47846875
transcript.pyannote[1727].speaker SPEAKER_05
transcript.pyannote[1727].start 8233.61346875
transcript.pyannote[1727].end 8233.66409375
transcript.pyannote[1728].speaker SPEAKER_40
transcript.pyannote[1728].start 8233.66409375
transcript.pyannote[1728].end 8233.73159375
transcript.pyannote[1729].speaker SPEAKER_05
transcript.pyannote[1729].start 8235.99284375
transcript.pyannote[1729].end 8236.34721875
transcript.pyannote[1730].speaker SPEAKER_05
transcript.pyannote[1730].start 8239.04721875
transcript.pyannote[1730].end 8241.71346875
transcript.pyannote[1731].speaker SPEAKER_01
transcript.pyannote[1731].start 8240.80221875
transcript.pyannote[1731].end 8242.42221875
transcript.pyannote[1732].speaker SPEAKER_01
transcript.pyannote[1732].start 8242.77659375
transcript.pyannote[1732].end 8249.18909375
transcript.pyannote[1733].speaker SPEAKER_01
transcript.pyannote[1733].start 8249.69534375
transcript.pyannote[1733].end 8250.48846875
transcript.pyannote[1734].speaker SPEAKER_01
transcript.pyannote[1734].start 8251.36596875
transcript.pyannote[1734].end 8254.03221875
transcript.pyannote[1735].speaker SPEAKER_01
transcript.pyannote[1735].start 8254.25159375
transcript.pyannote[1735].end 8260.96784375
transcript.pyannote[1736].speaker SPEAKER_01
transcript.pyannote[1736].start 8261.17034375
transcript.pyannote[1736].end 8262.06471875
transcript.pyannote[1737].speaker SPEAKER_01
transcript.pyannote[1737].start 8262.68909375
transcript.pyannote[1737].end 8265.00096875
transcript.pyannote[1738].speaker SPEAKER_01
transcript.pyannote[1738].start 8265.70971875
transcript.pyannote[1738].end 8266.85721875
transcript.pyannote[1739].speaker SPEAKER_01
transcript.pyannote[1739].start 8266.89096875
transcript.pyannote[1739].end 8268.08909375
transcript.pyannote[1740].speaker SPEAKER_01
transcript.pyannote[1740].start 8269.03409375
transcript.pyannote[1740].end 8269.45596875
transcript.pyannote[1741].speaker SPEAKER_01
transcript.pyannote[1741].start 8269.97909375
transcript.pyannote[1741].end 8270.85659375
transcript.pyannote[1742].speaker SPEAKER_01
transcript.pyannote[1742].start 8271.19409375
transcript.pyannote[1742].end 8272.57784375
transcript.pyannote[1743].speaker SPEAKER_01
transcript.pyannote[1743].start 8273.01659375
transcript.pyannote[1743].end 8275.07534375
transcript.pyannote[1744].speaker SPEAKER_01
transcript.pyannote[1744].start 8275.69971875
transcript.pyannote[1744].end 8278.77096875
transcript.pyannote[1745].speaker SPEAKER_01
transcript.pyannote[1745].start 8279.29409375
transcript.pyannote[1745].end 8279.90159375
transcript.pyannote[1746].speaker SPEAKER_01
transcript.pyannote[1746].start 8280.86346875
transcript.pyannote[1746].end 8281.45409375
transcript.pyannote[1747].speaker SPEAKER_01
transcript.pyannote[1747].start 8282.75346875
transcript.pyannote[1747].end 8286.76971875
transcript.pyannote[1748].speaker SPEAKER_01
transcript.pyannote[1748].start 8287.19159375
transcript.pyannote[1748].end 8289.30096875
transcript.pyannote[1749].speaker SPEAKER_01
transcript.pyannote[1749].start 8289.41909375
transcript.pyannote[1749].end 8295.27471875
transcript.pyannote[1750].speaker SPEAKER_01
transcript.pyannote[1750].start 8295.71346875
transcript.pyannote[1750].end 8296.75971875
transcript.pyannote[1751].speaker SPEAKER_01
transcript.pyannote[1751].start 8297.13096875
transcript.pyannote[1751].end 8298.76784375
transcript.pyannote[1752].speaker SPEAKER_01
transcript.pyannote[1752].start 8298.97034375
transcript.pyannote[1752].end 8304.28596875
transcript.pyannote[1753].speaker SPEAKER_01
transcript.pyannote[1753].start 8305.04534375
transcript.pyannote[1753].end 8309.46659375
transcript.pyannote[1754].speaker SPEAKER_01
transcript.pyannote[1754].start 8310.81659375
transcript.pyannote[1754].end 8314.05659375
transcript.pyannote[1755].speaker SPEAKER_01
transcript.pyannote[1755].start 8314.36034375
transcript.pyannote[1755].end 8316.25034375
transcript.pyannote[1756].speaker SPEAKER_01
transcript.pyannote[1756].start 8316.48659375
transcript.pyannote[1756].end 8322.69659375
transcript.pyannote[1757].speaker SPEAKER_01
transcript.pyannote[1757].start 8323.50659375
transcript.pyannote[1757].end 8325.54846875
transcript.pyannote[1758].speaker SPEAKER_01
transcript.pyannote[1758].start 8325.83534375
transcript.pyannote[1758].end 8327.28659375
transcript.pyannote[1759].speaker SPEAKER_01
transcript.pyannote[1759].start 8327.79284375
transcript.pyannote[1759].end 8328.67034375
transcript.pyannote[1760].speaker SPEAKER_01
transcript.pyannote[1760].start 8329.15971875
transcript.pyannote[1760].end 8332.19721875
transcript.pyannote[1761].speaker SPEAKER_01
transcript.pyannote[1761].start 8333.39534375
transcript.pyannote[1761].end 8335.72409375
transcript.pyannote[1762].speaker SPEAKER_01
transcript.pyannote[1762].start 8335.94346875
transcript.pyannote[1762].end 8348.49846875
transcript.pyannote[1763].speaker SPEAKER_01
transcript.pyannote[1763].start 8348.97096875
transcript.pyannote[1763].end 8361.59346875
transcript.pyannote[1764].speaker SPEAKER_01
transcript.pyannote[1764].start 8362.67346875
transcript.pyannote[1764].end 8368.66409375
transcript.pyannote[1765].speaker SPEAKER_01
transcript.pyannote[1765].start 8369.38971875
transcript.pyannote[1765].end 8371.53284375
transcript.pyannote[1766].speaker SPEAKER_01
transcript.pyannote[1766].start 8371.75221875
transcript.pyannote[1766].end 8374.77284375
transcript.pyannote[1767].speaker SPEAKER_01
transcript.pyannote[1767].start 8375.46471875
transcript.pyannote[1767].end 8378.01284375
transcript.pyannote[1768].speaker SPEAKER_01
transcript.pyannote[1768].start 8378.63721875
transcript.pyannote[1768].end 8383.46346875
transcript.pyannote[1769].speaker SPEAKER_01
transcript.pyannote[1769].start 8384.00346875
transcript.pyannote[1769].end 8385.30284375
transcript.pyannote[1770].speaker SPEAKER_01
transcript.pyannote[1770].start 8386.19721875
transcript.pyannote[1770].end 8389.13346875
transcript.pyannote[1771].speaker SPEAKER_01
transcript.pyannote[1771].start 8389.82534375
transcript.pyannote[1771].end 8391.25971875
transcript.pyannote[1772].speaker SPEAKER_01
transcript.pyannote[1772].start 8391.61409375
transcript.pyannote[1772].end 8392.76159375
transcript.pyannote[1773].speaker SPEAKER_01
transcript.pyannote[1773].start 8393.72346875
transcript.pyannote[1773].end 8395.15784375
transcript.pyannote[1774].speaker SPEAKER_01
transcript.pyannote[1774].start 8395.47846875
transcript.pyannote[1774].end 8396.01846875
transcript.pyannote[1775].speaker SPEAKER_01
transcript.pyannote[1775].start 8397.03096875
transcript.pyannote[1775].end 8397.90846875
transcript.pyannote[1776].speaker SPEAKER_01
transcript.pyannote[1776].start 8398.16159375
transcript.pyannote[1776].end 8398.88721875
transcript.pyannote[1777].speaker SPEAKER_22
transcript.pyannote[1777].start 8399.81534375
transcript.pyannote[1777].end 8403.93284375
transcript.pyannote[1778].speaker SPEAKER_22
transcript.pyannote[1778].start 8404.27034375
transcript.pyannote[1778].end 8404.57409375
transcript.pyannote[1779].speaker SPEAKER_22
transcript.pyannote[1779].start 8404.64159375
transcript.pyannote[1779].end 8408.21909375
transcript.pyannote[1780].speaker SPEAKER_01
transcript.pyannote[1780].start 8408.10096875
transcript.pyannote[1780].end 8409.51846875
transcript.pyannote[1781].speaker SPEAKER_22
transcript.pyannote[1781].start 8410.83471875
transcript.pyannote[1781].end 8410.85159375
transcript.pyannote[1782].speaker SPEAKER_35
transcript.pyannote[1782].start 8410.85159375
transcript.pyannote[1782].end 8411.47596875
transcript.pyannote[1783].speaker SPEAKER_35
transcript.pyannote[1783].start 8411.69534375
transcript.pyannote[1783].end 8413.83846875
transcript.pyannote[1784].speaker SPEAKER_35
transcript.pyannote[1784].start 8414.19284375
transcript.pyannote[1784].end 8420.99346875
transcript.pyannote[1785].speaker SPEAKER_35
transcript.pyannote[1785].start 8421.44909375
transcript.pyannote[1785].end 8428.67159375
transcript.pyannote[1786].speaker SPEAKER_01
transcript.pyannote[1786].start 8427.40596875
transcript.pyannote[1786].end 8432.01284375
transcript.pyannote[1787].speaker SPEAKER_01
transcript.pyannote[1787].start 8432.33346875
transcript.pyannote[1787].end 8436.34971875
transcript.pyannote[1788].speaker SPEAKER_01
transcript.pyannote[1788].start 8436.63659375
transcript.pyannote[1788].end 8437.81784375
transcript.pyannote[1789].speaker SPEAKER_01
transcript.pyannote[1789].start 8438.13846875
transcript.pyannote[1789].end 8443.79159375
transcript.pyannote[1790].speaker SPEAKER_01
transcript.pyannote[1790].start 8444.16284375
transcript.pyannote[1790].end 8457.00471875
transcript.pyannote[1791].speaker SPEAKER_01
transcript.pyannote[1791].start 8457.17346875
transcript.pyannote[1791].end 8458.55721875
transcript.pyannote[1792].speaker SPEAKER_35
transcript.pyannote[1792].start 8458.99596875
transcript.pyannote[1792].end 8467.38284375
transcript.pyannote[1793].speaker SPEAKER_01
transcript.pyannote[1793].start 8466.96096875
transcript.pyannote[1793].end 8468.17596875
transcript.pyannote[1794].speaker SPEAKER_35
transcript.pyannote[1794].start 8467.68659375
transcript.pyannote[1794].end 8470.01534375
transcript.pyannote[1795].speaker SPEAKER_01
transcript.pyannote[1795].start 8469.07034375
transcript.pyannote[1795].end 8473.27221875
transcript.pyannote[1796].speaker SPEAKER_35
transcript.pyannote[1796].start 8471.14596875
transcript.pyannote[1796].end 8471.29784375
transcript.pyannote[1797].speaker SPEAKER_01
transcript.pyannote[1797].start 8473.82909375
transcript.pyannote[1797].end 8478.85784375
transcript.pyannote[1798].speaker SPEAKER_01
transcript.pyannote[1798].start 8479.43159375
transcript.pyannote[1798].end 8483.44784375
transcript.pyannote[1799].speaker SPEAKER_01
transcript.pyannote[1799].start 8483.56596875
transcript.pyannote[1799].end 8488.86471875
transcript.pyannote[1800].speaker SPEAKER_35
transcript.pyannote[1800].start 8483.63346875
transcript.pyannote[1800].end 8484.24096875
transcript.pyannote[1801].speaker SPEAKER_35
transcript.pyannote[1801].start 8487.97034375
transcript.pyannote[1801].end 8492.45909375
transcript.pyannote[1802].speaker SPEAKER_01
transcript.pyannote[1802].start 8491.61534375
transcript.pyannote[1802].end 8492.76284375
transcript.pyannote[1803].speaker SPEAKER_01
transcript.pyannote[1803].start 8492.96534375
transcript.pyannote[1803].end 8494.21409375
transcript.pyannote[1804].speaker SPEAKER_22
transcript.pyannote[1804].start 8494.29846875
transcript.pyannote[1804].end 8506.49909375
transcript.pyannote[1805].speaker SPEAKER_01
transcript.pyannote[1805].start 8495.59784375
transcript.pyannote[1805].end 8495.96909375
transcript.pyannote[1806].speaker SPEAKER_01
transcript.pyannote[1806].start 8505.23346875
transcript.pyannote[1806].end 8508.10221875
transcript.pyannote[1807].speaker SPEAKER_22
transcript.pyannote[1807].start 8507.52846875
transcript.pyannote[1807].end 8510.12721875
transcript.pyannote[1808].speaker SPEAKER_01
transcript.pyannote[1808].start 8508.11909375
transcript.pyannote[1808].end 8510.11034375
transcript.pyannote[1809].speaker SPEAKER_01
transcript.pyannote[1809].start 8510.12721875
transcript.pyannote[1809].end 8510.31284375
transcript.pyannote[1810].speaker SPEAKER_22
transcript.pyannote[1810].start 8510.31284375
transcript.pyannote[1810].end 8523.50909375
transcript.pyannote[1811].speaker SPEAKER_01
transcript.pyannote[1811].start 8521.70346875
transcript.pyannote[1811].end 8522.22659375
transcript.pyannote[1812].speaker SPEAKER_01
transcript.pyannote[1812].start 8523.55971875
transcript.pyannote[1812].end 8526.27659375
transcript.pyannote[1813].speaker SPEAKER_22
transcript.pyannote[1813].start 8526.37784375
transcript.pyannote[1813].end 8531.00159375
transcript.pyannote[1814].speaker SPEAKER_01
transcript.pyannote[1814].start 8527.13721875
transcript.pyannote[1814].end 8528.33534375
transcript.pyannote[1815].speaker SPEAKER_01
transcript.pyannote[1815].start 8528.92596875
transcript.pyannote[1815].end 8555.20034375
transcript.pyannote[1816].speaker SPEAKER_22
transcript.pyannote[1816].start 8531.22096875
transcript.pyannote[1816].end 8531.42346875
transcript.pyannote[1817].speaker SPEAKER_01
transcript.pyannote[1817].start 8555.62221875
transcript.pyannote[1817].end 8557.47846875
transcript.pyannote[1818].speaker SPEAKER_01
transcript.pyannote[1818].start 8558.20409375
transcript.pyannote[1818].end 8566.59096875
transcript.pyannote[1819].speaker SPEAKER_22
transcript.pyannote[1819].start 8565.71346875
transcript.pyannote[1819].end 8582.30159375
transcript.pyannote[1820].speaker SPEAKER_01
transcript.pyannote[1820].start 8576.12534375
transcript.pyannote[1820].end 8578.11659375
transcript.pyannote[1821].speaker SPEAKER_22
transcript.pyannote[1821].start 8582.95971875
transcript.pyannote[1821].end 8585.13659375
transcript.pyannote[1822].speaker SPEAKER_01
transcript.pyannote[1822].start 8584.56284375
transcript.pyannote[1822].end 8585.98034375
transcript.pyannote[1823].speaker SPEAKER_01
transcript.pyannote[1823].start 8586.65534375
transcript.pyannote[1823].end 8593.03409375
transcript.pyannote[1824].speaker SPEAKER_01
transcript.pyannote[1824].start 8593.32096875
transcript.pyannote[1824].end 8594.24909375
transcript.pyannote[1825].speaker SPEAKER_01
transcript.pyannote[1825].start 8594.62034375
transcript.pyannote[1825].end 8598.87284375
transcript.pyannote[1826].speaker SPEAKER_01
transcript.pyannote[1826].start 8599.39596875
transcript.pyannote[1826].end 8600.57721875
transcript.pyannote[1827].speaker SPEAKER_01
transcript.pyannote[1827].start 8601.10034375
transcript.pyannote[1827].end 8625.92346875
transcript.pyannote[1828].speaker SPEAKER_01
transcript.pyannote[1828].start 8626.12596875
transcript.pyannote[1828].end 8627.74596875
transcript.pyannote[1829].speaker SPEAKER_01
transcript.pyannote[1829].start 8627.84721875
transcript.pyannote[1829].end 8630.07471875
transcript.pyannote[1830].speaker SPEAKER_22
transcript.pyannote[1830].start 8629.11284375
transcript.pyannote[1830].end 8630.05784375
transcript.pyannote[1831].speaker SPEAKER_22
transcript.pyannote[1831].start 8630.07471875
transcript.pyannote[1831].end 8630.09159375
transcript.pyannote[1832].speaker SPEAKER_01
transcript.pyannote[1832].start 8630.59784375
transcript.pyannote[1832].end 8632.01534375
transcript.pyannote[1833].speaker SPEAKER_22
transcript.pyannote[1833].start 8630.68221875
transcript.pyannote[1833].end 8642.20784375
transcript.pyannote[1834].speaker SPEAKER_01
transcript.pyannote[1834].start 8639.20409375
transcript.pyannote[1834].end 8639.79471875
transcript.pyannote[1835].speaker SPEAKER_01
transcript.pyannote[1835].start 8641.27971875
transcript.pyannote[1835].end 8647.38846875
transcript.pyannote[1836].speaker SPEAKER_22
transcript.pyannote[1836].start 8642.51159375
transcript.pyannote[1836].end 8642.93346875
transcript.pyannote[1837].speaker SPEAKER_22
transcript.pyannote[1837].start 8645.21159375
transcript.pyannote[1837].end 8645.46471875
transcript.pyannote[1838].speaker SPEAKER_01
transcript.pyannote[1838].start 8647.75971875
transcript.pyannote[1838].end 8652.09659375
transcript.pyannote[1839].speaker SPEAKER_22
transcript.pyannote[1839].start 8649.17721875
transcript.pyannote[1839].end 8652.88971875
transcript.pyannote[1840].speaker SPEAKER_01
transcript.pyannote[1840].start 8652.85596875
transcript.pyannote[1840].end 8668.16159375
transcript.pyannote[1841].speaker SPEAKER_39
transcript.pyannote[1841].start 8660.07846875
transcript.pyannote[1841].end 8660.85471875
transcript.pyannote[1842].speaker SPEAKER_01
transcript.pyannote[1842].start 8668.83659375
transcript.pyannote[1842].end 8674.91159375
transcript.pyannote[1843].speaker SPEAKER_01
transcript.pyannote[1843].start 8675.35034375
transcript.pyannote[1843].end 8678.43846875
transcript.pyannote[1844].speaker SPEAKER_22
transcript.pyannote[1844].start 8678.53971875
transcript.pyannote[1844].end 8678.87721875
transcript.pyannote[1845].speaker SPEAKER_22
transcript.pyannote[1845].start 8679.46784375
transcript.pyannote[1845].end 8686.84221875
transcript.pyannote[1846].speaker SPEAKER_22
transcript.pyannote[1846].start 8687.43284375
transcript.pyannote[1846].end 8689.27221875
transcript.pyannote[1847].speaker SPEAKER_22
transcript.pyannote[1847].start 8689.74471875
transcript.pyannote[1847].end 8691.12846875
transcript.pyannote[1848].speaker SPEAKER_01
transcript.pyannote[1848].start 8689.94721875
transcript.pyannote[1848].end 8689.98096875
transcript.pyannote[1849].speaker SPEAKER_01
transcript.pyannote[1849].start 8691.87096875
transcript.pyannote[1849].end 8692.39409375
transcript.pyannote[1850].speaker SPEAKER_01
transcript.pyannote[1850].start 8692.73159375
transcript.pyannote[1850].end 8693.18721875
transcript.pyannote[1851].speaker SPEAKER_01
transcript.pyannote[1851].start 8693.67659375
transcript.pyannote[1851].end 8694.79034375
transcript.pyannote[1852].speaker SPEAKER_01
transcript.pyannote[1852].start 8695.11096875
transcript.pyannote[1852].end 8707.27784375
transcript.pyannote[1853].speaker SPEAKER_22
transcript.pyannote[1853].start 8696.41034375
transcript.pyannote[1853].end 8696.79846875
transcript.pyannote[1854].speaker SPEAKER_39
transcript.pyannote[1854].start 8702.28284375
transcript.pyannote[1854].end 8702.65409375
transcript.pyannote[1855].speaker SPEAKER_01
transcript.pyannote[1855].start 8708.29034375
transcript.pyannote[1855].end 8708.89784375
transcript.pyannote[1856].speaker SPEAKER_01
transcript.pyannote[1856].start 8709.47159375
transcript.pyannote[1856].end 8712.12096875
transcript.pyannote[1857].speaker SPEAKER_01
transcript.pyannote[1857].start 8712.28971875
transcript.pyannote[1857].end 8713.63971875
transcript.pyannote[1858].speaker SPEAKER_00
transcript.pyannote[1858].start 8713.01534375
transcript.pyannote[1858].end 8713.03221875
transcript.pyannote[1859].speaker SPEAKER_17
transcript.pyannote[1859].start 8713.03221875
transcript.pyannote[1859].end 8713.58909375
transcript.pyannote[1860].speaker SPEAKER_17
transcript.pyannote[1860].start 8713.63971875
transcript.pyannote[1860].end 8713.74096875
transcript.pyannote[1861].speaker SPEAKER_17
transcript.pyannote[1861].start 8718.16221875
transcript.pyannote[1861].end 8719.17471875
transcript.pyannote[1862].speaker SPEAKER_21
transcript.pyannote[1862].start 8742.96846875
transcript.pyannote[1862].end 8745.90471875
transcript.pyannote[1863].speaker SPEAKER_21
transcript.pyannote[1863].start 8745.97221875
transcript.pyannote[1863].end 8746.34346875
transcript.pyannote[1864].speaker SPEAKER_21
transcript.pyannote[1864].start 8746.66409375
transcript.pyannote[1864].end 8748.16596875
transcript.pyannote[1865].speaker SPEAKER_07
transcript.pyannote[1865].start 8749.78596875
transcript.pyannote[1865].end 8750.52846875
transcript.pyannote[1866].speaker SPEAKER_07
transcript.pyannote[1866].start 8750.96721875
transcript.pyannote[1866].end 8754.05534375
transcript.pyannote[1867].speaker SPEAKER_21
transcript.pyannote[1867].start 8751.05159375
transcript.pyannote[1867].end 8752.26659375
transcript.pyannote[1868].speaker SPEAKER_07
transcript.pyannote[1868].start 8754.19034375
transcript.pyannote[1868].end 8756.26596875
transcript.pyannote[1869].speaker SPEAKER_21
transcript.pyannote[1869].start 8755.16909375
transcript.pyannote[1869].end 8755.81034375
transcript.pyannote[1870].speaker SPEAKER_21
transcript.pyannote[1870].start 8756.38409375
transcript.pyannote[1870].end 8759.97846875
transcript.pyannote[1871].speaker SPEAKER_07
transcript.pyannote[1871].start 8758.29096875
transcript.pyannote[1871].end 8759.33721875
transcript.pyannote[1872].speaker SPEAKER_07
transcript.pyannote[1872].start 8759.97846875
transcript.pyannote[1872].end 8760.33284375
transcript.pyannote[1873].speaker SPEAKER_21
transcript.pyannote[1873].start 8760.33284375
transcript.pyannote[1873].end 8760.41721875
transcript.pyannote[1874].speaker SPEAKER_07
transcript.pyannote[1874].start 8760.41721875
transcript.pyannote[1874].end 8761.95284375
transcript.pyannote[1875].speaker SPEAKER_07
transcript.pyannote[1875].start 8762.96534375
transcript.pyannote[1875].end 8763.03284375
transcript.pyannote[1876].speaker SPEAKER_07
transcript.pyannote[1876].start 8807.48159375
transcript.pyannote[1876].end 8807.54909375
transcript.pyannote[1877].speaker SPEAKER_07
transcript.pyannote[1877].start 8807.68409375
transcript.pyannote[1877].end 8808.64596875
transcript.pyannote[1878].speaker SPEAKER_07
transcript.pyannote[1878].start 8809.28721875
transcript.pyannote[1878].end 8812.37534375
transcript.pyannote[1879].speaker SPEAKER_07
transcript.pyannote[1879].start 8813.35409375
transcript.pyannote[1879].end 8813.65784375
transcript.pyannote[1880].speaker SPEAKER_19
transcript.pyannote[1880].start 8820.94784375
transcript.pyannote[1880].end 8821.77471875
transcript.pyannote[1881].speaker SPEAKER_35
transcript.pyannote[1881].start 8841.56909375
transcript.pyannote[1881].end 8842.21034375
transcript.pyannote[1882].speaker SPEAKER_07
transcript.pyannote[1882].start 8843.10471875
transcript.pyannote[1882].end 8843.15534375
transcript.pyannote[1883].speaker SPEAKER_35
transcript.pyannote[1883].start 8843.15534375
transcript.pyannote[1883].end 8843.37471875
transcript.pyannote[1884].speaker SPEAKER_07
transcript.pyannote[1884].start 8849.28096875
transcript.pyannote[1884].end 8849.39909375
transcript.pyannote[1885].speaker SPEAKER_07
transcript.pyannote[1885].start 8855.28846875
transcript.pyannote[1885].end 8855.59221875
transcript.pyannote[1886].speaker SPEAKER_07
transcript.pyannote[1886].start 8855.60909375
transcript.pyannote[1886].end 8855.62596875
transcript.pyannote[1887].speaker SPEAKER_15
transcript.pyannote[1887].start 8865.66659375
transcript.pyannote[1887].end 8866.52721875
transcript.pyannote[1888].speaker SPEAKER_42
transcript.pyannote[1888].start 8866.94909375
transcript.pyannote[1888].end 8867.06721875
transcript.pyannote[1889].speaker SPEAKER_07
transcript.pyannote[1889].start 8867.06721875
transcript.pyannote[1889].end 8867.08409375
transcript.pyannote[1890].speaker SPEAKER_42
transcript.pyannote[1890].start 8867.08409375
transcript.pyannote[1890].end 8867.25284375
transcript.pyannote[1891].speaker SPEAKER_07
transcript.pyannote[1891].start 8868.48471875
transcript.pyannote[1891].end 8869.39596875
transcript.pyannote[1892].speaker SPEAKER_07
transcript.pyannote[1892].start 8869.63221875
transcript.pyannote[1892].end 8869.78409375
transcript.pyannote[1893].speaker SPEAKER_07
transcript.pyannote[1893].start 8871.50534375
transcript.pyannote[1893].end 8873.91846875
transcript.pyannote[1894].speaker SPEAKER_07
transcript.pyannote[1894].start 8879.48721875
transcript.pyannote[1894].end 8888.38034375
transcript.pyannote[1895].speaker SPEAKER_42
transcript.pyannote[1895].start 8885.71409375
transcript.pyannote[1895].end 8885.93346875
transcript.pyannote[1896].speaker SPEAKER_42
transcript.pyannote[1896].start 8886.54096875
transcript.pyannote[1896].end 8886.89534375
transcript.pyannote[1897].speaker SPEAKER_42
transcript.pyannote[1897].start 8887.06409375
transcript.pyannote[1897].end 8897.69534375
transcript.pyannote[1898].speaker SPEAKER_07
transcript.pyannote[1898].start 8896.85159375
transcript.pyannote[1898].end 8900.78346875
transcript.pyannote[1899].speaker SPEAKER_07
transcript.pyannote[1899].start 8900.80034375
transcript.pyannote[1899].end 8903.02784375
transcript.pyannote[1900].speaker SPEAKER_21
transcript.pyannote[1900].start 8903.85471875
transcript.pyannote[1900].end 8905.01909375
transcript.pyannote[1901].speaker SPEAKER_21
transcript.pyannote[1901].start 8905.89659375
transcript.pyannote[1901].end 8910.50346875
transcript.pyannote[1902].speaker SPEAKER_07
transcript.pyannote[1902].start 8910.50346875
transcript.pyannote[1902].end 8910.57096875
transcript.pyannote[1903].speaker SPEAKER_21
transcript.pyannote[1903].start 8910.89159375
transcript.pyannote[1903].end 8912.35971875
transcript.pyannote[1904].speaker SPEAKER_07
transcript.pyannote[1904].start 8912.35971875
transcript.pyannote[1904].end 8912.44409375
transcript.pyannote[1905].speaker SPEAKER_07
transcript.pyannote[1905].start 8912.61284375
transcript.pyannote[1905].end 8912.66346875
transcript.pyannote[1906].speaker SPEAKER_21
transcript.pyannote[1906].start 8912.66346875
transcript.pyannote[1906].end 8918.92409375
transcript.pyannote[1907].speaker SPEAKER_07
transcript.pyannote[1907].start 8913.15284375
transcript.pyannote[1907].end 8913.96284375
transcript.pyannote[1908].speaker SPEAKER_07
transcript.pyannote[1908].start 8914.11471875
transcript.pyannote[1908].end 8914.51971875
transcript.pyannote[1909].speaker SPEAKER_07
transcript.pyannote[1909].start 8914.67159375
transcript.pyannote[1909].end 8914.77284375
transcript.pyannote[1910].speaker SPEAKER_21
transcript.pyannote[1910].start 8919.98721875
transcript.pyannote[1910].end 8922.61971875
transcript.pyannote[1911].speaker SPEAKER_21
transcript.pyannote[1911].start 8922.88971875
transcript.pyannote[1911].end 8934.95534375
transcript.pyannote[1912].speaker SPEAKER_22
transcript.pyannote[1912].start 8926.21409375
transcript.pyannote[1912].end 8926.34909375
transcript.pyannote[1913].speaker SPEAKER_22
transcript.pyannote[1913].start 8931.29346875
transcript.pyannote[1913].end 8931.31034375
transcript.pyannote[1914].speaker SPEAKER_42
transcript.pyannote[1914].start 8931.31034375
transcript.pyannote[1914].end 8931.36096875
transcript.pyannote[1915].speaker SPEAKER_21
transcript.pyannote[1915].start 8935.30971875
transcript.pyannote[1915].end 8939.37659375
transcript.pyannote[1916].speaker SPEAKER_07
transcript.pyannote[1916].start 8941.95846875
transcript.pyannote[1916].end 8945.31659375
transcript.pyannote[1917].speaker SPEAKER_21
transcript.pyannote[1917].start 8945.31659375
transcript.pyannote[1917].end 8947.84784375
transcript.pyannote[1918].speaker SPEAKER_07
transcript.pyannote[1918].start 8945.46846875
transcript.pyannote[1918].end 8947.02096875
transcript.pyannote[1919].speaker SPEAKER_07
transcript.pyannote[1919].start 8947.84784375
transcript.pyannote[1919].end 8947.93221875
transcript.pyannote[1920].speaker SPEAKER_21
transcript.pyannote[1920].start 8947.93221875
transcript.pyannote[1920].end 8950.00784375
transcript.pyannote[1921].speaker SPEAKER_07
transcript.pyannote[1921].start 8948.45534375
transcript.pyannote[1921].end 8948.96159375
transcript.pyannote[1922].speaker SPEAKER_21
transcript.pyannote[1922].start 8950.32846875
transcript.pyannote[1922].end 8950.91909375
transcript.pyannote[1923].speaker SPEAKER_39
transcript.pyannote[1923].start 8950.54784375
transcript.pyannote[1923].end 8951.40846875
transcript.pyannote[1924].speaker SPEAKER_21
transcript.pyannote[1924].start 8951.40846875
transcript.pyannote[1924].end 8952.01596875
transcript.pyannote[1925].speaker SPEAKER_39
transcript.pyannote[1925].start 8951.42534375
transcript.pyannote[1925].end 8951.76284375
transcript.pyannote[1926].speaker SPEAKER_21
transcript.pyannote[1926].start 8953.14659375
transcript.pyannote[1926].end 8963.08596875
transcript.pyannote[1927].speaker SPEAKER_07
transcript.pyannote[1927].start 8956.03221875
transcript.pyannote[1927].end 8956.21784375
transcript.pyannote[1928].speaker SPEAKER_07
transcript.pyannote[1928].start 8960.13284375
transcript.pyannote[1928].end 8960.14971875
transcript.pyannote[1929].speaker SPEAKER_07
transcript.pyannote[1929].start 8960.16659375
transcript.pyannote[1929].end 8960.18346875
transcript.pyannote[1930].speaker SPEAKER_07
transcript.pyannote[1930].start 8961.61784375
transcript.pyannote[1930].end 8963.06909375
transcript.pyannote[1931].speaker SPEAKER_07
transcript.pyannote[1931].start 8963.08596875
transcript.pyannote[1931].end 8963.64284375
transcript.pyannote[1932].speaker SPEAKER_21
transcript.pyannote[1932].start 8963.64284375
transcript.pyannote[1932].end 8963.72721875
transcript.pyannote[1933].speaker SPEAKER_21
transcript.pyannote[1933].start 8963.86221875
transcript.pyannote[1933].end 8964.72284375
transcript.pyannote[1934].speaker SPEAKER_33
transcript.pyannote[1934].start 8964.72284375
transcript.pyannote[1934].end 8964.73971875
transcript.pyannote[1935].speaker SPEAKER_21
transcript.pyannote[1935].start 8964.73971875
transcript.pyannote[1935].end 8964.79034375
transcript.pyannote[1936].speaker SPEAKER_33
transcript.pyannote[1936].start 8965.27971875
transcript.pyannote[1936].end 8965.88721875
transcript.pyannote[1937].speaker SPEAKER_21
transcript.pyannote[1937].start 8965.88721875
transcript.pyannote[1937].end 8965.97159375
transcript.pyannote[1938].speaker SPEAKER_33
transcript.pyannote[1938].start 8965.97159375
transcript.pyannote[1938].end 8968.84034375
transcript.pyannote[1939].speaker SPEAKER_33
transcript.pyannote[1939].start 8969.00909375
transcript.pyannote[1939].end 8977.32846875
transcript.pyannote[1940].speaker SPEAKER_33
transcript.pyannote[1940].start 8977.58159375
transcript.pyannote[1940].end 8981.47971875
transcript.pyannote[1941].speaker SPEAKER_20
transcript.pyannote[1941].start 8977.98659375
transcript.pyannote[1941].end 8978.18909375
transcript.pyannote[1942].speaker SPEAKER_33
transcript.pyannote[1942].start 8982.15471875
transcript.pyannote[1942].end 8982.23909375
transcript.pyannote[1943].speaker SPEAKER_21
transcript.pyannote[1943].start 8982.23909375
transcript.pyannote[1943].end 8989.49534375
transcript.pyannote[1944].speaker SPEAKER_21
transcript.pyannote[1944].start 8990.25471875
transcript.pyannote[1944].end 8990.92971875
transcript.pyannote[1945].speaker SPEAKER_07
transcript.pyannote[1945].start 8990.35596875
transcript.pyannote[1945].end 8990.40659375
transcript.pyannote[1946].speaker SPEAKER_07
transcript.pyannote[1946].start 8990.92971875
transcript.pyannote[1946].end 8991.38534375
transcript.pyannote[1947].speaker SPEAKER_07
transcript.pyannote[1947].start 8991.94221875
transcript.pyannote[1947].end 8997.94971875
transcript.pyannote[1948].speaker SPEAKER_39
transcript.pyannote[1948].start 8996.90346875
transcript.pyannote[1948].end 8996.93721875
transcript.pyannote[1949].speaker SPEAKER_21
transcript.pyannote[1949].start 8996.93721875
transcript.pyannote[1949].end 8997.27471875
transcript.pyannote[1950].speaker SPEAKER_07
transcript.pyannote[1950].start 8998.79346875
transcript.pyannote[1950].end 9000.71721875
transcript.pyannote[1951].speaker SPEAKER_39
transcript.pyannote[1951].start 8998.94534375
transcript.pyannote[1951].end 8998.97909375
transcript.pyannote[1952].speaker SPEAKER_39
transcript.pyannote[1952].start 8999.41784375
transcript.pyannote[1952].end 9000.02534375
transcript.pyannote[1953].speaker SPEAKER_21
transcript.pyannote[1953].start 9000.02534375
transcript.pyannote[1953].end 9000.17721875
transcript.pyannote[1954].speaker SPEAKER_45
transcript.pyannote[1954].start 9000.17721875
transcript.pyannote[1954].end 9000.29534375
transcript.pyannote[1955].speaker SPEAKER_21
transcript.pyannote[1955].start 9000.29534375
transcript.pyannote[1955].end 9000.36284375
transcript.pyannote[1956].speaker SPEAKER_14
transcript.pyannote[1956].start 9003.70409375
transcript.pyannote[1956].end 9003.77159375
transcript.pyannote[1957].speaker SPEAKER_21
transcript.pyannote[1957].start 9005.52659375
transcript.pyannote[1957].end 9006.40409375
transcript.pyannote[1958].speaker SPEAKER_39
transcript.pyannote[1958].start 9007.29846875
transcript.pyannote[1958].end 9007.39971875
transcript.pyannote[1959].speaker SPEAKER_21
transcript.pyannote[1959].start 9007.39971875
transcript.pyannote[1959].end 9007.48409375
transcript.pyannote[1960].speaker SPEAKER_39
transcript.pyannote[1960].start 9007.48409375
transcript.pyannote[1960].end 9007.66971875
transcript.pyannote[1961].speaker SPEAKER_39
transcript.pyannote[1961].start 9007.97346875
transcript.pyannote[1961].end 9008.05784375
transcript.pyannote[1962].speaker SPEAKER_21
transcript.pyannote[1962].start 9008.83409375
transcript.pyannote[1962].end 9018.30096875
transcript.pyannote[1963].speaker SPEAKER_39
transcript.pyannote[1963].start 9018.30096875
transcript.pyannote[1963].end 9018.65534375
transcript.pyannote[1964].speaker SPEAKER_21
transcript.pyannote[1964].start 9018.65534375
transcript.pyannote[1964].end 9018.97596875
transcript.pyannote[1965].speaker SPEAKER_39
transcript.pyannote[1965].start 9018.97596875
transcript.pyannote[1965].end 9019.44846875
transcript.pyannote[1966].speaker SPEAKER_21
transcript.pyannote[1966].start 9019.44846875
transcript.pyannote[1966].end 9022.41846875
transcript.pyannote[1967].speaker SPEAKER_21
transcript.pyannote[1967].start 9022.97534375
transcript.pyannote[1967].end 9024.03846875
transcript.pyannote[1968].speaker SPEAKER_17
transcript.pyannote[1968].start 9029.47221875
transcript.pyannote[1968].end 9031.02471875
transcript.pyannote[1969].speaker SPEAKER_17
transcript.pyannote[1969].start 9032.71221875
transcript.pyannote[1969].end 9033.11721875
transcript.pyannote[1970].speaker SPEAKER_17
transcript.pyannote[1970].start 9033.52221875
transcript.pyannote[1970].end 9034.41659375
transcript.pyannote[1971].speaker SPEAKER_17
transcript.pyannote[1971].start 9037.25159375
transcript.pyannote[1971].end 9039.46221875
transcript.pyannote[1972].speaker SPEAKER_11
transcript.pyannote[1972].start 9053.87346875
transcript.pyannote[1972].end 9057.13034375
transcript.pyannote[1973].speaker SPEAKER_11
transcript.pyannote[1973].start 9059.81346875
transcript.pyannote[1973].end 9062.19284375
transcript.pyannote[1974].speaker SPEAKER_11
transcript.pyannote[1974].start 9062.58096875
transcript.pyannote[1974].end 9063.37409375
transcript.pyannote[1975].speaker SPEAKER_21
transcript.pyannote[1975].start 9065.29784375
transcript.pyannote[1975].end 9065.80409375
transcript.pyannote[1976].speaker SPEAKER_11
transcript.pyannote[1976].start 9066.09096875
transcript.pyannote[1976].end 9067.52534375
transcript.pyannote[1977].speaker SPEAKER_21
transcript.pyannote[1977].start 9067.03596875
transcript.pyannote[1977].end 9067.37346875
transcript.pyannote[1978].speaker SPEAKER_11
transcript.pyannote[1978].start 9067.55909375
transcript.pyannote[1978].end 9069.34784375
transcript.pyannote[1979].speaker SPEAKER_11
transcript.pyannote[1979].start 9070.27596875
transcript.pyannote[1979].end 9073.48221875
transcript.pyannote[1980].speaker SPEAKER_17
transcript.pyannote[1980].start 9070.37721875
transcript.pyannote[1980].end 9070.84971875
transcript.pyannote[1981].speaker SPEAKER_17
transcript.pyannote[1981].start 9071.79471875
transcript.pyannote[1981].end 9071.89596875
transcript.pyannote[1982].speaker SPEAKER_21
transcript.pyannote[1982].start 9071.89596875
transcript.pyannote[1982].end 9071.91284375
transcript.pyannote[1983].speaker SPEAKER_17
transcript.pyannote[1983].start 9071.91284375
transcript.pyannote[1983].end 9072.13221875
transcript.pyannote[1984].speaker SPEAKER_39
transcript.pyannote[1984].start 9072.13221875
transcript.pyannote[1984].end 9073.44846875
transcript.pyannote[1985].speaker SPEAKER_39
transcript.pyannote[1985].start 9073.48221875
transcript.pyannote[1985].end 9073.51596875
transcript.pyannote[1986].speaker SPEAKER_11
transcript.pyannote[1986].start 9073.73534375
transcript.pyannote[1986].end 9076.24971875
transcript.pyannote[1987].speaker SPEAKER_11
transcript.pyannote[1987].start 9077.11034375
transcript.pyannote[1987].end 9078.03846875
transcript.pyannote[1988].speaker SPEAKER_11
transcript.pyannote[1988].start 9078.34221875
transcript.pyannote[1988].end 9079.33784375
transcript.pyannote[1989].speaker SPEAKER_11
transcript.pyannote[1989].start 9079.75971875
transcript.pyannote[1989].end 9081.86909375
transcript.pyannote[1990].speaker SPEAKER_11
transcript.pyannote[1990].start 9084.04596875
transcript.pyannote[1990].end 9085.73346875
transcript.pyannote[1991].speaker SPEAKER_11
transcript.pyannote[1991].start 9086.07096875
transcript.pyannote[1991].end 9086.83034375
transcript.pyannote[1992].speaker SPEAKER_11
transcript.pyannote[1992].start 9086.99909375
transcript.pyannote[1992].end 9087.26909375
transcript.pyannote[1993].speaker SPEAKER_22
transcript.pyannote[1993].start 9087.26909375
transcript.pyannote[1993].end 9087.40409375
transcript.pyannote[1994].speaker SPEAKER_11
transcript.pyannote[1994].start 9087.40409375
transcript.pyannote[1994].end 9087.43784375
transcript.pyannote[1995].speaker SPEAKER_43
transcript.pyannote[1995].start 9087.43784375
transcript.pyannote[1995].end 9087.45471875
transcript.pyannote[1996].speaker SPEAKER_11
transcript.pyannote[1996].start 9088.43346875
transcript.pyannote[1996].end 9090.55971875
transcript.pyannote[1997].speaker SPEAKER_22
transcript.pyannote[1997].start 9091.94346875
transcript.pyannote[1997].end 9092.65221875
transcript.pyannote[1998].speaker SPEAKER_22
transcript.pyannote[1998].start 9093.37784375
transcript.pyannote[1998].end 9096.60096875
transcript.pyannote[1999].speaker SPEAKER_11
transcript.pyannote[1999].start 9093.42846875
transcript.pyannote[1999].end 9094.35659375
transcript.pyannote[2000].speaker SPEAKER_43
transcript.pyannote[2000].start 9097.42784375
transcript.pyannote[2000].end 9097.78221875
transcript.pyannote[2001].speaker SPEAKER_43
transcript.pyannote[2001].start 9098.20409375
transcript.pyannote[2001].end 9099.50346875
transcript.pyannote[2002].speaker SPEAKER_22
transcript.pyannote[2002].start 9100.41471875
transcript.pyannote[2002].end 9100.44846875
transcript.pyannote[2003].speaker SPEAKER_43
transcript.pyannote[2003].start 9100.44846875
transcript.pyannote[2003].end 9100.97159375
transcript.pyannote[2004].speaker SPEAKER_22
transcript.pyannote[2004].start 9100.97159375
transcript.pyannote[2004].end 9101.37659375
transcript.pyannote[2005].speaker SPEAKER_43
transcript.pyannote[2005].start 9101.37659375
transcript.pyannote[2005].end 9101.46096875
transcript.pyannote[2006].speaker SPEAKER_22
transcript.pyannote[2006].start 9101.46096875
transcript.pyannote[2006].end 9101.49471875
transcript.pyannote[2007].speaker SPEAKER_43
transcript.pyannote[2007].start 9102.05159375
transcript.pyannote[2007].end 9104.12721875
transcript.pyannote[2008].speaker SPEAKER_05
transcript.pyannote[2008].start 9104.75159375
transcript.pyannote[2008].end 9116.00721875
transcript.pyannote[2009].speaker SPEAKER_43
transcript.pyannote[2009].start 9111.80534375
transcript.pyannote[2009].end 9112.19346875
transcript.pyannote[2010].speaker SPEAKER_05
transcript.pyannote[2010].start 9116.32784375
transcript.pyannote[2010].end 9120.31034375
transcript.pyannote[2011].speaker SPEAKER_11
transcript.pyannote[2011].start 9121.03596875
transcript.pyannote[2011].end 9128.54534375
transcript.pyannote[2012].speaker SPEAKER_05
transcript.pyannote[2012].start 9129.22034375
transcript.pyannote[2012].end 9136.42596875
transcript.pyannote[2013].speaker SPEAKER_11
transcript.pyannote[2013].start 9136.05471875
transcript.pyannote[2013].end 9137.43846875
transcript.pyannote[2014].speaker SPEAKER_11
transcript.pyannote[2014].start 9138.70409375
transcript.pyannote[2014].end 9139.98659375
transcript.pyannote[2015].speaker SPEAKER_05
transcript.pyannote[2015].start 9140.52659375
transcript.pyannote[2015].end 9143.22659375
transcript.pyannote[2016].speaker SPEAKER_05
transcript.pyannote[2016].start 9143.47971875
transcript.pyannote[2016].end 9145.08284375
transcript.pyannote[2017].speaker SPEAKER_11
transcript.pyannote[2017].start 9145.08284375
transcript.pyannote[2017].end 9146.66909375
transcript.pyannote[2018].speaker SPEAKER_05
transcript.pyannote[2018].start 9146.66909375
transcript.pyannote[2018].end 9147.44534375
transcript.pyannote[2019].speaker SPEAKER_11
transcript.pyannote[2019].start 9147.63096875
transcript.pyannote[2019].end 9151.68096875
transcript.pyannote[2020].speaker SPEAKER_11
transcript.pyannote[2020].start 9152.45721875
transcript.pyannote[2020].end 9154.11096875
transcript.pyannote[2021].speaker SPEAKER_05
transcript.pyannote[2021].start 9154.51596875
transcript.pyannote[2021].end 9159.22409375
transcript.pyannote[2022].speaker SPEAKER_11
transcript.pyannote[2022].start 9159.93284375
transcript.pyannote[2022].end 9161.18159375
transcript.pyannote[2023].speaker SPEAKER_11
transcript.pyannote[2023].start 9161.29971875
transcript.pyannote[2023].end 9162.49784375
transcript.pyannote[2024].speaker SPEAKER_11
transcript.pyannote[2024].start 9162.86909375
transcript.pyannote[2024].end 9163.72971875
transcript.pyannote[2025].speaker SPEAKER_11
transcript.pyannote[2025].start 9164.86034375
transcript.pyannote[2025].end 9173.51721875
transcript.pyannote[2026].speaker SPEAKER_05
transcript.pyannote[2026].start 9173.85471875
transcript.pyannote[2026].end 9174.76596875
transcript.pyannote[2027].speaker SPEAKER_05
transcript.pyannote[2027].start 9174.91784375
transcript.pyannote[2027].end 9177.51659375
transcript.pyannote[2028].speaker SPEAKER_11
transcript.pyannote[2028].start 9175.98096875
transcript.pyannote[2028].end 9179.17034375
transcript.pyannote[2029].speaker SPEAKER_11
transcript.pyannote[2029].start 9179.64284375
transcript.pyannote[2029].end 9187.54034375
transcript.pyannote[2030].speaker SPEAKER_11
transcript.pyannote[2030].start 9189.16034375
transcript.pyannote[2030].end 9190.61159375
transcript.pyannote[2031].speaker SPEAKER_11
transcript.pyannote[2031].start 9190.98284375
transcript.pyannote[2031].end 9192.09659375
transcript.pyannote[2032].speaker SPEAKER_05
transcript.pyannote[2032].start 9192.65346875
transcript.pyannote[2032].end 9196.01159375
transcript.pyannote[2033].speaker SPEAKER_11
transcript.pyannote[2033].start 9196.34909375
transcript.pyannote[2033].end 9197.83409375
transcript.pyannote[2034].speaker SPEAKER_11
transcript.pyannote[2034].start 9198.37409375
transcript.pyannote[2034].end 9199.15034375
transcript.pyannote[2035].speaker SPEAKER_11
transcript.pyannote[2035].start 9199.52159375
transcript.pyannote[2035].end 9210.96284375
transcript.pyannote[2036].speaker SPEAKER_11
transcript.pyannote[2036].start 9211.14846875
transcript.pyannote[2036].end 9221.94846875
transcript.pyannote[2037].speaker SPEAKER_05
transcript.pyannote[2037].start 9222.33659375
transcript.pyannote[2037].end 9233.91284375
transcript.pyannote[2038].speaker SPEAKER_05
transcript.pyannote[2038].start 9234.30096875
transcript.pyannote[2038].end 9237.91221875
transcript.pyannote[2039].speaker SPEAKER_11
transcript.pyannote[2039].start 9238.33409375
transcript.pyannote[2039].end 9242.67096875
transcript.pyannote[2040].speaker SPEAKER_35
transcript.pyannote[2040].start 9249.33659375
transcript.pyannote[2040].end 9249.69096875
transcript.pyannote[2041].speaker SPEAKER_11
transcript.pyannote[2041].start 9250.11284375
transcript.pyannote[2041].end 9250.48409375
transcript.pyannote[2042].speaker SPEAKER_11
transcript.pyannote[2042].start 9251.46284375
transcript.pyannote[2042].end 9252.01971875
transcript.pyannote[2043].speaker SPEAKER_11
transcript.pyannote[2043].start 9252.66096875
transcript.pyannote[2043].end 9253.25159375
transcript.pyannote[2044].speaker SPEAKER_11
transcript.pyannote[2044].start 9257.65596875
transcript.pyannote[2044].end 9258.93846875
transcript.pyannote[2045].speaker SPEAKER_11
transcript.pyannote[2045].start 9259.22534375
transcript.pyannote[2045].end 9260.03534375
transcript.pyannote[2046].speaker SPEAKER_11
transcript.pyannote[2046].start 9260.42346875
transcript.pyannote[2046].end 9276.26909375
transcript.pyannote[2047].speaker SPEAKER_11
transcript.pyannote[2047].start 9277.01159375
transcript.pyannote[2047].end 9279.55971875
transcript.pyannote[2048].speaker SPEAKER_22
transcript.pyannote[2048].start 9279.55971875
transcript.pyannote[2048].end 9279.64409375
transcript.pyannote[2049].speaker SPEAKER_11
transcript.pyannote[2049].start 9279.64409375
transcript.pyannote[2049].end 9280.31909375
transcript.pyannote[2050].speaker SPEAKER_22
transcript.pyannote[2050].start 9280.79159375
transcript.pyannote[2050].end 9282.29346875
transcript.pyannote[2051].speaker SPEAKER_11
transcript.pyannote[2051].start 9282.88409375
transcript.pyannote[2051].end 9283.06971875
transcript.pyannote[2052].speaker SPEAKER_11
transcript.pyannote[2052].start 9283.49159375
transcript.pyannote[2052].end 9292.04721875
transcript.pyannote[2053].speaker SPEAKER_22
transcript.pyannote[2053].start 9293.54909375
transcript.pyannote[2053].end 9294.00471875
transcript.pyannote[2054].speaker SPEAKER_11
transcript.pyannote[2054].start 9294.59534375
transcript.pyannote[2054].end 9298.49346875
transcript.pyannote[2055].speaker SPEAKER_11
transcript.pyannote[2055].start 9299.35409375
transcript.pyannote[2055].end 9299.91096875
transcript.pyannote[2056].speaker SPEAKER_11
transcript.pyannote[2056].start 9301.37909375
transcript.pyannote[2056].end 9303.16784375
transcript.pyannote[2057].speaker SPEAKER_11
transcript.pyannote[2057].start 9303.47159375
transcript.pyannote[2057].end 9304.02846875
transcript.pyannote[2058].speaker SPEAKER_11
transcript.pyannote[2058].start 9304.50096875
transcript.pyannote[2058].end 9306.50909375
transcript.pyannote[2059].speaker SPEAKER_22
transcript.pyannote[2059].start 9307.11659375
transcript.pyannote[2059].end 9307.52159375
transcript.pyannote[2060].speaker SPEAKER_11
transcript.pyannote[2060].start 9308.12909375
transcript.pyannote[2060].end 9315.89159375
transcript.pyannote[2061].speaker SPEAKER_22
transcript.pyannote[2061].start 9318.06846875
transcript.pyannote[2061].end 9321.19034375
transcript.pyannote[2062].speaker SPEAKER_22
transcript.pyannote[2062].start 9321.67971875
transcript.pyannote[2062].end 9328.85159375
transcript.pyannote[2063].speaker SPEAKER_22
transcript.pyannote[2063].start 9329.17221875
transcript.pyannote[2063].end 9331.28159375
transcript.pyannote[2064].speaker SPEAKER_22
transcript.pyannote[2064].start 9331.68659375
transcript.pyannote[2064].end 9341.50784375
transcript.pyannote[2065].speaker SPEAKER_11
transcript.pyannote[2065].start 9338.97659375
transcript.pyannote[2065].end 9345.33846875
transcript.pyannote[2066].speaker SPEAKER_22
transcript.pyannote[2066].start 9343.92096875
transcript.pyannote[2066].end 9351.61596875
transcript.pyannote[2067].speaker SPEAKER_22
transcript.pyannote[2067].start 9352.03784375
transcript.pyannote[2067].end 9352.59471875
transcript.pyannote[2068].speaker SPEAKER_22
transcript.pyannote[2068].start 9353.08409375
transcript.pyannote[2068].end 9354.73784375
transcript.pyannote[2069].speaker SPEAKER_22
transcript.pyannote[2069].start 9354.97409375
transcript.pyannote[2069].end 9358.45034375
transcript.pyannote[2070].speaker SPEAKER_22
transcript.pyannote[2070].start 9358.51784375
transcript.pyannote[2070].end 9364.23846875
transcript.pyannote[2071].speaker SPEAKER_11
transcript.pyannote[2071].start 9363.12471875
transcript.pyannote[2071].end 9393.29721875
transcript.pyannote[2072].speaker SPEAKER_22
transcript.pyannote[2072].start 9367.63034375
transcript.pyannote[2072].end 9368.91284375
transcript.pyannote[2073].speaker SPEAKER_11
transcript.pyannote[2073].start 9393.73596875
transcript.pyannote[2073].end 9394.61346875
transcript.pyannote[2074].speaker SPEAKER_11
transcript.pyannote[2074].start 9394.78221875
transcript.pyannote[2074].end 9395.99721875
transcript.pyannote[2075].speaker SPEAKER_11
transcript.pyannote[2075].start 9396.21659375
transcript.pyannote[2075].end 9399.03471875
transcript.pyannote[2076].speaker SPEAKER_11
transcript.pyannote[2076].start 9399.33846875
transcript.pyannote[2076].end 9405.00846875
transcript.pyannote[2077].speaker SPEAKER_22
transcript.pyannote[2077].start 9405.34596875
transcript.pyannote[2077].end 9411.64034375
transcript.pyannote[2078].speaker SPEAKER_22
transcript.pyannote[2078].start 9412.16346875
transcript.pyannote[2078].end 9413.39534375
transcript.pyannote[2079].speaker SPEAKER_22
transcript.pyannote[2079].start 9413.63159375
transcript.pyannote[2079].end 9425.00534375
transcript.pyannote[2080].speaker SPEAKER_11
transcript.pyannote[2080].start 9423.62159375
transcript.pyannote[2080].end 9425.83221875
transcript.pyannote[2081].speaker SPEAKER_22
transcript.pyannote[2081].start 9425.25846875
transcript.pyannote[2081].end 9441.00284375
transcript.pyannote[2082].speaker SPEAKER_22
transcript.pyannote[2082].start 9441.23909375
transcript.pyannote[2082].end 9442.35284375
transcript.pyannote[2083].speaker SPEAKER_22
transcript.pyannote[2083].start 9442.87596875
transcript.pyannote[2083].end 9447.48284375
transcript.pyannote[2084].speaker SPEAKER_22
transcript.pyannote[2084].start 9447.98909375
transcript.pyannote[2084].end 9449.38971875
transcript.pyannote[2085].speaker SPEAKER_22
transcript.pyannote[2085].start 9450.04784375
transcript.pyannote[2085].end 9454.84034375
transcript.pyannote[2086].speaker SPEAKER_11
transcript.pyannote[2086].start 9455.46471875
transcript.pyannote[2086].end 9462.40034375
transcript.pyannote[2087].speaker SPEAKER_22
transcript.pyannote[2087].start 9462.45096875
transcript.pyannote[2087].end 9469.45409375
transcript.pyannote[2088].speaker SPEAKER_22
transcript.pyannote[2088].start 9469.62284375
transcript.pyannote[2088].end 9471.36096875
transcript.pyannote[2089].speaker SPEAKER_22
transcript.pyannote[2089].start 9472.10346875
transcript.pyannote[2089].end 9473.92596875
transcript.pyannote[2090].speaker SPEAKER_22
transcript.pyannote[2090].start 9474.16221875
transcript.pyannote[2090].end 9481.99221875
transcript.pyannote[2091].speaker SPEAKER_22
transcript.pyannote[2091].start 9482.78534375
transcript.pyannote[2091].end 9485.28284375
transcript.pyannote[2092].speaker SPEAKER_22
transcript.pyannote[2092].start 9485.56971875
transcript.pyannote[2092].end 9486.51471875
transcript.pyannote[2093].speaker SPEAKER_22
transcript.pyannote[2093].start 9486.75096875
transcript.pyannote[2093].end 9490.02471875
transcript.pyannote[2094].speaker SPEAKER_22
transcript.pyannote[2094].start 9490.39596875
transcript.pyannote[2094].end 9497.88846875
transcript.pyannote[2095].speaker SPEAKER_22
transcript.pyannote[2095].start 9498.42846875
transcript.pyannote[2095].end 9502.02284375
transcript.pyannote[2096].speaker SPEAKER_22
transcript.pyannote[2096].start 9502.42784375
transcript.pyannote[2096].end 9505.17846875
transcript.pyannote[2097].speaker SPEAKER_22
transcript.pyannote[2097].start 9505.61721875
transcript.pyannote[2097].end 9508.01346875
transcript.pyannote[2098].speaker SPEAKER_11
transcript.pyannote[2098].start 9506.62971875
transcript.pyannote[2098].end 9509.09346875
transcript.pyannote[2099].speaker SPEAKER_11
transcript.pyannote[2099].start 9509.66721875
transcript.pyannote[2099].end 9518.34096875
transcript.pyannote[2100].speaker SPEAKER_11
transcript.pyannote[2100].start 9519.31971875
transcript.pyannote[2100].end 9522.88034375
transcript.pyannote[2101].speaker SPEAKER_22
transcript.pyannote[2101].start 9522.88034375
transcript.pyannote[2101].end 9528.56721875
transcript.pyannote[2102].speaker SPEAKER_11
transcript.pyannote[2102].start 9528.19596875
transcript.pyannote[2102].end 9529.76534375
transcript.pyannote[2103].speaker SPEAKER_22
transcript.pyannote[2103].start 9529.57971875
transcript.pyannote[2103].end 9533.03909375
transcript.pyannote[2104].speaker SPEAKER_22
transcript.pyannote[2104].start 9533.68034375
transcript.pyannote[2104].end 9538.70909375
transcript.pyannote[2105].speaker SPEAKER_22
transcript.pyannote[2105].start 9538.89471875
transcript.pyannote[2105].end 9540.81846875
transcript.pyannote[2106].speaker SPEAKER_22
transcript.pyannote[2106].start 9541.27409375
transcript.pyannote[2106].end 9544.24409375
transcript.pyannote[2107].speaker SPEAKER_22
transcript.pyannote[2107].start 9545.00346875
transcript.pyannote[2107].end 9551.21346875
transcript.pyannote[2108].speaker SPEAKER_22
transcript.pyannote[2108].start 9551.73659375
transcript.pyannote[2108].end 9554.60534375
transcript.pyannote[2109].speaker SPEAKER_22
transcript.pyannote[2109].start 9555.06096875
transcript.pyannote[2109].end 9558.55409375
transcript.pyannote[2110].speaker SPEAKER_22
transcript.pyannote[2110].start 9559.41471875
transcript.pyannote[2110].end 9560.51159375
transcript.pyannote[2111].speaker SPEAKER_22
transcript.pyannote[2111].start 9560.76471875
transcript.pyannote[2111].end 9562.62096875
transcript.pyannote[2112].speaker SPEAKER_22
transcript.pyannote[2112].start 9563.05971875
transcript.pyannote[2112].end 9579.78284375
transcript.pyannote[2113].speaker SPEAKER_22
transcript.pyannote[2113].start 9580.45784375
transcript.pyannote[2113].end 9582.33096875
transcript.pyannote[2114].speaker SPEAKER_22
transcript.pyannote[2114].start 9583.00596875
transcript.pyannote[2114].end 9587.54534375
transcript.pyannote[2115].speaker SPEAKER_22
transcript.pyannote[2115].start 9587.83221875
transcript.pyannote[2115].end 9591.49409375
transcript.pyannote[2116].speaker SPEAKER_22
transcript.pyannote[2116].start 9592.23659375
transcript.pyannote[2116].end 9593.06346875
transcript.pyannote[2117].speaker SPEAKER_22
transcript.pyannote[2117].start 9593.40096875
transcript.pyannote[2117].end 9595.12221875
transcript.pyannote[2118].speaker SPEAKER_11
transcript.pyannote[2118].start 9595.51034375
transcript.pyannote[2118].end 9599.74596875
transcript.pyannote[2119].speaker SPEAKER_22
transcript.pyannote[2119].start 9600.79221875
transcript.pyannote[2119].end 9604.72409375
transcript.pyannote[2120].speaker SPEAKER_11
transcript.pyannote[2120].start 9602.96909375
transcript.pyannote[2120].end 9603.40784375
transcript.pyannote[2121].speaker SPEAKER_11
transcript.pyannote[2121].start 9604.67346875
transcript.pyannote[2121].end 9617.48159375
transcript.pyannote[2122].speaker SPEAKER_11
transcript.pyannote[2122].start 9618.13971875
transcript.pyannote[2122].end 9619.70909375
transcript.pyannote[2123].speaker SPEAKER_22
transcript.pyannote[2123].start 9619.77659375
transcript.pyannote[2123].end 9625.53096875
transcript.pyannote[2124].speaker SPEAKER_11
transcript.pyannote[2124].start 9625.91909375
transcript.pyannote[2124].end 9633.04034375
transcript.pyannote[2125].speaker SPEAKER_22
transcript.pyannote[2125].start 9631.23471875
transcript.pyannote[2125].end 9631.58909375
transcript.pyannote[2126].speaker SPEAKER_22
transcript.pyannote[2126].start 9632.63534375
transcript.pyannote[2126].end 9633.88409375
transcript.pyannote[2127].speaker SPEAKER_22
transcript.pyannote[2127].start 9634.42409375
transcript.pyannote[2127].end 9636.95534375
transcript.pyannote[2128].speaker SPEAKER_11
transcript.pyannote[2128].start 9636.09471875
transcript.pyannote[2128].end 9639.53721875
transcript.pyannote[2129].speaker SPEAKER_22
transcript.pyannote[2129].start 9640.17846875
transcript.pyannote[2129].end 9641.78159375
transcript.pyannote[2130].speaker SPEAKER_22
transcript.pyannote[2130].start 9642.64221875
transcript.pyannote[2130].end 9656.17596875
transcript.pyannote[2131].speaker SPEAKER_22
transcript.pyannote[2131].start 9656.26034375
transcript.pyannote[2131].end 9659.02784375
transcript.pyannote[2132].speaker SPEAKER_22
transcript.pyannote[2132].start 9659.38221875
transcript.pyannote[2132].end 9664.44471875
transcript.pyannote[2133].speaker SPEAKER_22
transcript.pyannote[2133].start 9664.49534375
transcript.pyannote[2133].end 9667.49909375
transcript.pyannote[2134].speaker SPEAKER_22
transcript.pyannote[2134].start 9668.24159375
transcript.pyannote[2134].end 9669.55784375
transcript.pyannote[2135].speaker SPEAKER_11
transcript.pyannote[2135].start 9669.37221875
transcript.pyannote[2135].end 9675.07596875
transcript.pyannote[2136].speaker SPEAKER_11
transcript.pyannote[2136].start 9675.39659375
transcript.pyannote[2136].end 9676.32471875
transcript.pyannote[2137].speaker SPEAKER_22
transcript.pyannote[2137].start 9675.54846875
transcript.pyannote[2137].end 9679.09221875
transcript.pyannote[2138].speaker SPEAKER_22
transcript.pyannote[2138].start 9679.24409375
transcript.pyannote[2138].end 9687.27659375
transcript.pyannote[2139].speaker SPEAKER_22
transcript.pyannote[2139].start 9687.49596875
transcript.pyannote[2139].end 9734.23971875
transcript.pyannote[2140].speaker SPEAKER_22
transcript.pyannote[2140].start 9734.64471875
transcript.pyannote[2140].end 9739.63971875
transcript.pyannote[2141].speaker SPEAKER_11
transcript.pyannote[2141].start 9740.09534375
transcript.pyannote[2141].end 9740.41596875
transcript.pyannote[2142].speaker SPEAKER_11
transcript.pyannote[2142].start 9740.58471875
transcript.pyannote[2142].end 9741.36096875
transcript.pyannote[2143].speaker SPEAKER_22
transcript.pyannote[2143].start 9741.36096875
transcript.pyannote[2143].end 9741.37784375
transcript.pyannote[2144].speaker SPEAKER_22
transcript.pyannote[2144].start 9741.81659375
transcript.pyannote[2144].end 9742.45784375
transcript.pyannote[2145].speaker SPEAKER_17
transcript.pyannote[2145].start 9747.36846875
transcript.pyannote[2145].end 9749.37659375
transcript.pyannote[2146].speaker SPEAKER_29
transcript.pyannote[2146].start 9758.87721875
transcript.pyannote[2146].end 9762.01596875
transcript.pyannote[2147].speaker SPEAKER_17
transcript.pyannote[2147].start 9762.30284375
transcript.pyannote[2147].end 9762.99471875
transcript.pyannote[2148].speaker SPEAKER_29
transcript.pyannote[2148].start 9773.18721875
transcript.pyannote[2148].end 9773.50784375
transcript.pyannote[2149].speaker SPEAKER_29
transcript.pyannote[2149].start 9773.96346875
transcript.pyannote[2149].end 9774.38534375
transcript.pyannote[2150].speaker SPEAKER_29
transcript.pyannote[2150].start 9774.67221875
transcript.pyannote[2150].end 9780.57846875
transcript.pyannote[2151].speaker SPEAKER_29
transcript.pyannote[2151].start 9780.89909375
transcript.pyannote[2151].end 9781.16909375
transcript.pyannote[2152].speaker SPEAKER_29
transcript.pyannote[2152].start 9781.62471875
transcript.pyannote[2152].end 9785.96159375
transcript.pyannote[2153].speaker SPEAKER_29
transcript.pyannote[2153].start 9786.88971875
transcript.pyannote[2153].end 9787.17659375
transcript.pyannote[2154].speaker SPEAKER_29
transcript.pyannote[2154].start 9787.85159375
transcript.pyannote[2154].end 9789.80909375
transcript.pyannote[2155].speaker SPEAKER_22
transcript.pyannote[2155].start 9793.13346875
transcript.pyannote[2155].end 9793.23471875
transcript.pyannote[2156].speaker SPEAKER_29
transcript.pyannote[2156].start 9793.84221875
transcript.pyannote[2156].end 9793.85909375
transcript.pyannote[2157].speaker SPEAKER_22
transcript.pyannote[2157].start 9793.85909375
transcript.pyannote[2157].end 9795.66471875
transcript.pyannote[2158].speaker SPEAKER_22
transcript.pyannote[2158].start 9796.47471875
transcript.pyannote[2158].end 9797.43659375
transcript.pyannote[2159].speaker SPEAKER_22
transcript.pyannote[2159].start 9798.01034375
transcript.pyannote[2159].end 9801.18284375
transcript.pyannote[2160].speaker SPEAKER_29
transcript.pyannote[2160].start 9801.18284375
transcript.pyannote[2160].end 9802.34721875
transcript.pyannote[2161].speaker SPEAKER_22
transcript.pyannote[2161].start 9801.55409375
transcript.pyannote[2161].end 9806.78534375
transcript.pyannote[2162].speaker SPEAKER_22
transcript.pyannote[2162].start 9806.97096875
transcript.pyannote[2162].end 9807.05534375
transcript.pyannote[2163].speaker SPEAKER_29
transcript.pyannote[2163].start 9807.05534375
transcript.pyannote[2163].end 9807.35909375
transcript.pyannote[2164].speaker SPEAKER_22
transcript.pyannote[2164].start 9807.35909375
transcript.pyannote[2164].end 9807.59534375
transcript.pyannote[2165].speaker SPEAKER_29
transcript.pyannote[2165].start 9807.59534375
transcript.pyannote[2165].end 9812.48909375
transcript.pyannote[2166].speaker SPEAKER_29
transcript.pyannote[2166].start 9812.86034375
transcript.pyannote[2166].end 9817.97346875
transcript.pyannote[2167].speaker SPEAKER_29
transcript.pyannote[2167].start 9818.26034375
transcript.pyannote[2167].end 9823.01909375
transcript.pyannote[2168].speaker SPEAKER_29
transcript.pyannote[2168].start 9823.47471875
transcript.pyannote[2168].end 9824.50409375
transcript.pyannote[2169].speaker SPEAKER_29
transcript.pyannote[2169].start 9824.80784375
transcript.pyannote[2169].end 9825.21284375
transcript.pyannote[2170].speaker SPEAKER_29
transcript.pyannote[2170].start 9825.34784375
transcript.pyannote[2170].end 9835.92846875
transcript.pyannote[2171].speaker SPEAKER_29
transcript.pyannote[2171].start 9836.65409375
transcript.pyannote[2171].end 9839.33721875
transcript.pyannote[2172].speaker SPEAKER_29
transcript.pyannote[2172].start 9839.62409375
transcript.pyannote[2172].end 9842.99909375
transcript.pyannote[2173].speaker SPEAKER_29
transcript.pyannote[2173].start 9843.21846875
transcript.pyannote[2173].end 9843.99471875
transcript.pyannote[2174].speaker SPEAKER_29
transcript.pyannote[2174].start 9844.55159375
transcript.pyannote[2174].end 9870.67409375
transcript.pyannote[2175].speaker SPEAKER_29
transcript.pyannote[2175].start 9871.33221875
transcript.pyannote[2175].end 9872.96909375
transcript.pyannote[2176].speaker SPEAKER_22
transcript.pyannote[2176].start 9872.96909375
transcript.pyannote[2176].end 9873.03659375
transcript.pyannote[2177].speaker SPEAKER_35
transcript.pyannote[2177].start 9873.03659375
transcript.pyannote[2177].end 9874.60596875
transcript.pyannote[2178].speaker SPEAKER_35
transcript.pyannote[2178].start 9875.48346875
transcript.pyannote[2178].end 9876.27659375
transcript.pyannote[2179].speaker SPEAKER_35
transcript.pyannote[2179].start 9876.63096875
transcript.pyannote[2179].end 9882.46971875
transcript.pyannote[2180].speaker SPEAKER_35
transcript.pyannote[2180].start 9883.00971875
transcript.pyannote[2180].end 9911.54534375
transcript.pyannote[2181].speaker SPEAKER_35
transcript.pyannote[2181].start 9911.71409375
transcript.pyannote[2181].end 9914.49846875
transcript.pyannote[2182].speaker SPEAKER_35
transcript.pyannote[2182].start 9915.10596875
transcript.pyannote[2182].end 9915.44346875
transcript.pyannote[2183].speaker SPEAKER_35
transcript.pyannote[2183].start 9915.89909375
transcript.pyannote[2183].end 9922.31159375
transcript.pyannote[2184].speaker SPEAKER_29
transcript.pyannote[2184].start 9918.63284375
transcript.pyannote[2184].end 9922.29471875
transcript.pyannote[2185].speaker SPEAKER_29
transcript.pyannote[2185].start 9922.31159375
transcript.pyannote[2185].end 9935.13659375
transcript.pyannote[2186].speaker SPEAKER_35
transcript.pyannote[2186].start 9923.02034375
transcript.pyannote[2186].end 9923.83034375
transcript.pyannote[2187].speaker SPEAKER_29
transcript.pyannote[2187].start 9935.42346875
transcript.pyannote[2187].end 9946.45971875
transcript.pyannote[2188].speaker SPEAKER_29
transcript.pyannote[2188].start 9946.54409375
transcript.pyannote[2188].end 9948.95721875
transcript.pyannote[2189].speaker SPEAKER_29
transcript.pyannote[2189].start 9949.34534375
transcript.pyannote[2189].end 9956.41596875
transcript.pyannote[2190].speaker SPEAKER_29
transcript.pyannote[2190].start 9956.70284375
transcript.pyannote[2190].end 9961.66409375
transcript.pyannote[2191].speaker SPEAKER_29
transcript.pyannote[2191].start 9962.27159375
transcript.pyannote[2191].end 9967.58721875
transcript.pyannote[2192].speaker SPEAKER_29
transcript.pyannote[2192].start 9967.78971875
transcript.pyannote[2192].end 9972.34596875
transcript.pyannote[2193].speaker SPEAKER_29
transcript.pyannote[2193].start 9972.66659375
transcript.pyannote[2193].end 9973.32471875
transcript.pyannote[2194].speaker SPEAKER_29
transcript.pyannote[2194].start 9973.57784375
transcript.pyannote[2194].end 9982.79159375
transcript.pyannote[2195].speaker SPEAKER_29
transcript.pyannote[2195].start 9982.87596875
transcript.pyannote[2195].end 9991.93784375
transcript.pyannote[2196].speaker SPEAKER_29
transcript.pyannote[2196].start 9992.20784375
transcript.pyannote[2196].end 9996.46034375
transcript.pyannote[2197].speaker SPEAKER_29
transcript.pyannote[2197].start 9996.59534375
transcript.pyannote[2197].end 9999.78471875
transcript.pyannote[2198].speaker SPEAKER_29
transcript.pyannote[2198].start 10000.10534375
transcript.pyannote[2198].end 10002.67034375
transcript.pyannote[2199].speaker SPEAKER_29
transcript.pyannote[2199].start 10002.92346875
transcript.pyannote[2199].end 10019.37659375
transcript.pyannote[2200].speaker SPEAKER_29
transcript.pyannote[2200].start 10019.52846875
transcript.pyannote[2200].end 10030.83471875
transcript.pyannote[2201].speaker SPEAKER_29
transcript.pyannote[2201].start 10031.20596875
transcript.pyannote[2201].end 10034.00721875
transcript.pyannote[2202].speaker SPEAKER_22
transcript.pyannote[2202].start 10035.23909375
transcript.pyannote[2202].end 10038.42846875
transcript.pyannote[2203].speaker SPEAKER_22
transcript.pyannote[2203].start 10038.90096875
transcript.pyannote[2203].end 10039.42409375
transcript.pyannote[2204].speaker SPEAKER_22
transcript.pyannote[2204].start 10039.77846875
transcript.pyannote[2204].end 10045.02659375
transcript.pyannote[2205].speaker SPEAKER_22
transcript.pyannote[2205].start 10045.09409375
transcript.pyannote[2205].end 10045.73534375
transcript.pyannote[2206].speaker SPEAKER_22
transcript.pyannote[2206].start 10046.22471875
transcript.pyannote[2206].end 10047.45659375
transcript.pyannote[2207].speaker SPEAKER_22
transcript.pyannote[2207].start 10047.70971875
transcript.pyannote[2207].end 10049.02596875
transcript.pyannote[2208].speaker SPEAKER_22
transcript.pyannote[2208].start 10049.09346875
transcript.pyannote[2208].end 10050.74721875
transcript.pyannote[2209].speaker SPEAKER_29
transcript.pyannote[2209].start 10049.75159375
transcript.pyannote[2209].end 10052.40096875
transcript.pyannote[2210].speaker SPEAKER_22
transcript.pyannote[2210].start 10051.94534375
transcript.pyannote[2210].end 10052.23221875
transcript.pyannote[2211].speaker SPEAKER_29
transcript.pyannote[2211].start 10052.70471875
transcript.pyannote[2211].end 10056.58596875
transcript.pyannote[2212].speaker SPEAKER_22
transcript.pyannote[2212].start 10056.65346875
transcript.pyannote[2212].end 10059.91034375
transcript.pyannote[2213].speaker SPEAKER_22
transcript.pyannote[2213].start 10060.34909375
transcript.pyannote[2213].end 10061.73284375
transcript.pyannote[2214].speaker SPEAKER_22
transcript.pyannote[2214].start 10062.99846875
transcript.pyannote[2214].end 10065.95159375
transcript.pyannote[2215].speaker SPEAKER_22
transcript.pyannote[2215].start 10066.74471875
transcript.pyannote[2215].end 10069.07346875
transcript.pyannote[2216].speaker SPEAKER_22
transcript.pyannote[2216].start 10069.56284375
transcript.pyannote[2216].end 10071.46971875
transcript.pyannote[2217].speaker SPEAKER_22
transcript.pyannote[2217].start 10071.63846875
transcript.pyannote[2217].end 10072.44846875
transcript.pyannote[2218].speaker SPEAKER_22
transcript.pyannote[2218].start 10072.75221875
transcript.pyannote[2218].end 10073.93346875
transcript.pyannote[2219].speaker SPEAKER_22
transcript.pyannote[2219].start 10073.98409375
transcript.pyannote[2219].end 10076.71784375
transcript.pyannote[2220].speaker SPEAKER_22
transcript.pyannote[2220].start 10077.73034375
transcript.pyannote[2220].end 10082.21909375
transcript.pyannote[2221].speaker SPEAKER_29
transcript.pyannote[2221].start 10080.91971875
transcript.pyannote[2221].end 10081.54409375
transcript.pyannote[2222].speaker SPEAKER_29
transcript.pyannote[2222].start 10081.93221875
transcript.pyannote[2222].end 10089.07034375
transcript.pyannote[2223].speaker SPEAKER_29
transcript.pyannote[2223].start 10089.61034375
transcript.pyannote[2223].end 10100.91659375
transcript.pyannote[2224].speaker SPEAKER_22
transcript.pyannote[2224].start 10089.64409375
transcript.pyannote[2224].end 10091.55096875
transcript.pyannote[2225].speaker SPEAKER_22
transcript.pyannote[2225].start 10095.78659375
transcript.pyannote[2225].end 10096.17471875
transcript.pyannote[2226].speaker SPEAKER_29
transcript.pyannote[2226].start 10101.15284375
transcript.pyannote[2226].end 10106.21534375
transcript.pyannote[2227].speaker SPEAKER_29
transcript.pyannote[2227].start 10106.85659375
transcript.pyannote[2227].end 10110.23159375
transcript.pyannote[2228].speaker SPEAKER_29
transcript.pyannote[2228].start 10111.17659375
transcript.pyannote[2228].end 10113.28596875
transcript.pyannote[2229].speaker SPEAKER_29
transcript.pyannote[2229].start 10114.29846875
transcript.pyannote[2229].end 10116.72846875
transcript.pyannote[2230].speaker SPEAKER_29
transcript.pyannote[2230].start 10116.84659375
transcript.pyannote[2230].end 10117.92659375
transcript.pyannote[2231].speaker SPEAKER_29
transcript.pyannote[2231].start 10118.43284375
transcript.pyannote[2231].end 10119.91784375
transcript.pyannote[2232].speaker SPEAKER_29
transcript.pyannote[2232].start 10121.20034375
transcript.pyannote[2232].end 10124.18721875
transcript.pyannote[2233].speaker SPEAKER_29
transcript.pyannote[2233].start 10124.30534375
transcript.pyannote[2233].end 10125.58784375
transcript.pyannote[2234].speaker SPEAKER_29
transcript.pyannote[2234].start 10126.16159375
transcript.pyannote[2234].end 10127.59596875
transcript.pyannote[2235].speaker SPEAKER_29
transcript.pyannote[2235].start 10128.50721875
transcript.pyannote[2235].end 10131.57846875
transcript.pyannote[2236].speaker SPEAKER_29
transcript.pyannote[2236].start 10131.71346875
transcript.pyannote[2236].end 10133.36721875
transcript.pyannote[2237].speaker SPEAKER_29
transcript.pyannote[2237].start 10133.73846875
transcript.pyannote[2237].end 10135.86471875
transcript.pyannote[2238].speaker SPEAKER_29
transcript.pyannote[2238].start 10136.32034375
transcript.pyannote[2238].end 10143.05346875
transcript.pyannote[2239].speaker SPEAKER_29
transcript.pyannote[2239].start 10143.08721875
transcript.pyannote[2239].end 10144.35284375
transcript.pyannote[2240].speaker SPEAKER_29
transcript.pyannote[2240].start 10144.53846875
transcript.pyannote[2240].end 10148.40284375
transcript.pyannote[2241].speaker SPEAKER_29
transcript.pyannote[2241].start 10148.79096875
transcript.pyannote[2241].end 10148.80784375
transcript.pyannote[2242].speaker SPEAKER_22
transcript.pyannote[2242].start 10148.80784375
transcript.pyannote[2242].end 10149.97221875
transcript.pyannote[2243].speaker SPEAKER_29
transcript.pyannote[2243].start 10150.34346875
transcript.pyannote[2243].end 10155.10221875
transcript.pyannote[2244].speaker SPEAKER_22
transcript.pyannote[2244].start 10151.50784375
transcript.pyannote[2244].end 10152.73971875
transcript.pyannote[2245].speaker SPEAKER_22
transcript.pyannote[2245].start 10153.41471875
transcript.pyannote[2245].end 10153.88721875
transcript.pyannote[2246].speaker SPEAKER_29
transcript.pyannote[2246].start 10156.23284375
transcript.pyannote[2246].end 10157.19471875
transcript.pyannote[2247].speaker SPEAKER_22
transcript.pyannote[2247].start 10156.26659375
transcript.pyannote[2247].end 10157.00909375
transcript.pyannote[2248].speaker SPEAKER_29
transcript.pyannote[2248].start 10157.65034375
transcript.pyannote[2248].end 10160.82284375
transcript.pyannote[2249].speaker SPEAKER_29
transcript.pyannote[2249].start 10160.90721875
transcript.pyannote[2249].end 10164.18096875
transcript.pyannote[2250].speaker SPEAKER_22
transcript.pyannote[2250].start 10160.97471875
transcript.pyannote[2250].end 10165.64909375
transcript.pyannote[2251].speaker SPEAKER_29
transcript.pyannote[2251].start 10165.64909375
transcript.pyannote[2251].end 10167.04971875
transcript.pyannote[2252].speaker SPEAKER_22
transcript.pyannote[2252].start 10166.42534375
transcript.pyannote[2252].end 10166.84721875
transcript.pyannote[2253].speaker SPEAKER_29
transcript.pyannote[2253].start 10167.40409375
transcript.pyannote[2253].end 10167.97784375
transcript.pyannote[2254].speaker SPEAKER_22
transcript.pyannote[2254].start 10167.97784375
transcript.pyannote[2254].end 10168.56846875
transcript.pyannote[2255].speaker SPEAKER_29
transcript.pyannote[2255].start 10168.01159375
transcript.pyannote[2255].end 10168.39971875
transcript.pyannote[2256].speaker SPEAKER_29
transcript.pyannote[2256].start 10168.56846875
transcript.pyannote[2256].end 10169.31096875
transcript.pyannote[2257].speaker SPEAKER_22
transcript.pyannote[2257].start 10170.12096875
transcript.pyannote[2257].end 10173.85034375
transcript.pyannote[2258].speaker SPEAKER_22
transcript.pyannote[2258].start 10174.28909375
transcript.pyannote[2258].end 10174.32284375
transcript.pyannote[2259].speaker SPEAKER_29
transcript.pyannote[2259].start 10174.32284375
transcript.pyannote[2259].end 10180.41471875
transcript.pyannote[2260].speaker SPEAKER_22
transcript.pyannote[2260].start 10175.06534375
transcript.pyannote[2260].end 10176.09471875
transcript.pyannote[2261].speaker SPEAKER_29
transcript.pyannote[2261].start 10180.71846875
transcript.pyannote[2261].end 10182.82784375
transcript.pyannote[2262].speaker SPEAKER_29
transcript.pyannote[2262].start 10183.68846875
transcript.pyannote[2262].end 10185.02159375
transcript.pyannote[2263].speaker SPEAKER_29
transcript.pyannote[2263].start 10185.78096875
transcript.pyannote[2263].end 10186.91159375
transcript.pyannote[2264].speaker SPEAKER_29
transcript.pyannote[2264].start 10187.36721875
transcript.pyannote[2264].end 10189.03784375
transcript.pyannote[2265].speaker SPEAKER_29
transcript.pyannote[2265].start 10189.12221875
transcript.pyannote[2265].end 10190.53971875
transcript.pyannote[2266].speaker SPEAKER_29
transcript.pyannote[2266].start 10190.94471875
transcript.pyannote[2266].end 10191.92346875
transcript.pyannote[2267].speaker SPEAKER_22
transcript.pyannote[2267].start 10190.97846875
transcript.pyannote[2267].end 10193.23971875
transcript.pyannote[2268].speaker SPEAKER_29
transcript.pyannote[2268].start 10193.03721875
transcript.pyannote[2268].end 10197.81284375
transcript.pyannote[2269].speaker SPEAKER_22
transcript.pyannote[2269].start 10198.26846875
transcript.pyannote[2269].end 10199.63534375
transcript.pyannote[2270].speaker SPEAKER_22
transcript.pyannote[2270].start 10200.22596875
transcript.pyannote[2270].end 10201.57596875
transcript.pyannote[2271].speaker SPEAKER_22
transcript.pyannote[2271].start 10201.93034375
transcript.pyannote[2271].end 10204.19159375
transcript.pyannote[2272].speaker SPEAKER_22
transcript.pyannote[2272].start 10205.13659375
transcript.pyannote[2272].end 10220.69534375
transcript.pyannote[2273].speaker SPEAKER_29
transcript.pyannote[2273].start 10210.68846875
transcript.pyannote[2273].end 10214.72159375
transcript.pyannote[2274].speaker SPEAKER_22
transcript.pyannote[2274].start 10221.03284375
transcript.pyannote[2274].end 10221.67409375
transcript.pyannote[2275].speaker SPEAKER_22
transcript.pyannote[2275].start 10222.65284375
transcript.pyannote[2275].end 10229.60534375
transcript.pyannote[2276].speaker SPEAKER_29
transcript.pyannote[2276].start 10225.53846875
transcript.pyannote[2276].end 10226.82096875
transcript.pyannote[2277].speaker SPEAKER_29
transcript.pyannote[2277].start 10229.60534375
transcript.pyannote[2277].end 10229.67284375
transcript.pyannote[2278].speaker SPEAKER_22
transcript.pyannote[2278].start 10229.67284375
transcript.pyannote[2278].end 10229.70659375
transcript.pyannote[2279].speaker SPEAKER_22
transcript.pyannote[2279].start 10229.95971875
transcript.pyannote[2279].end 10231.15784375
transcript.pyannote[2280].speaker SPEAKER_29
transcript.pyannote[2280].start 10230.01034375
transcript.pyannote[2280].end 10233.48659375
transcript.pyannote[2281].speaker SPEAKER_29
transcript.pyannote[2281].start 10234.14471875
transcript.pyannote[2281].end 10241.77221875
transcript.pyannote[2282].speaker SPEAKER_29
transcript.pyannote[2282].start 10243.20659375
transcript.pyannote[2282].end 10248.62346875
transcript.pyannote[2283].speaker SPEAKER_29
transcript.pyannote[2283].start 10249.31534375
transcript.pyannote[2283].end 10253.38221875
transcript.pyannote[2284].speaker SPEAKER_29
transcript.pyannote[2284].start 10253.61846875
transcript.pyannote[2284].end 10256.84159375
transcript.pyannote[2285].speaker SPEAKER_29
transcript.pyannote[2285].start 10257.09471875
transcript.pyannote[2285].end 10259.77784375
transcript.pyannote[2286].speaker SPEAKER_29
transcript.pyannote[2286].start 10259.92971875
transcript.pyannote[2286].end 10261.54971875
transcript.pyannote[2287].speaker SPEAKER_29
transcript.pyannote[2287].start 10261.85346875
transcript.pyannote[2287].end 10264.55346875
transcript.pyannote[2288].speaker SPEAKER_29
transcript.pyannote[2288].start 10265.11034375
transcript.pyannote[2288].end 10267.62471875
transcript.pyannote[2289].speaker SPEAKER_29
transcript.pyannote[2289].start 10268.01284375
transcript.pyannote[2289].end 10270.49346875
transcript.pyannote[2290].speaker SPEAKER_22
transcript.pyannote[2290].start 10269.27846875
transcript.pyannote[2290].end 10271.89409375
transcript.pyannote[2291].speaker SPEAKER_22
transcript.pyannote[2291].start 10273.75034375
transcript.pyannote[2291].end 10278.37409375
transcript.pyannote[2292].speaker SPEAKER_22
transcript.pyannote[2292].start 10278.79596875
transcript.pyannote[2292].end 10278.96471875
transcript.pyannote[2293].speaker SPEAKER_29
transcript.pyannote[2293].start 10278.96471875
transcript.pyannote[2293].end 10279.35284375
transcript.pyannote[2294].speaker SPEAKER_22
transcript.pyannote[2294].start 10279.80846875
transcript.pyannote[2294].end 10281.14159375
transcript.pyannote[2295].speaker SPEAKER_22
transcript.pyannote[2295].start 10281.41159375
transcript.pyannote[2295].end 10281.42846875
transcript.pyannote[2296].speaker SPEAKER_29
transcript.pyannote[2296].start 10281.42846875
transcript.pyannote[2296].end 10283.30159375
transcript.pyannote[2297].speaker SPEAKER_29
transcript.pyannote[2297].start 10283.41971875
transcript.pyannote[2297].end 10284.41534375
transcript.pyannote[2298].speaker SPEAKER_17
transcript.pyannote[2298].start 10290.42284375
transcript.pyannote[2298].end 10292.22846875
transcript.pyannote[2299].speaker SPEAKER_04
transcript.pyannote[2299].start 10299.50159375
transcript.pyannote[2299].end 10299.55221875
transcript.pyannote[2300].speaker SPEAKER_04
transcript.pyannote[2300].start 10302.21846875
transcript.pyannote[2300].end 10303.46721875
transcript.pyannote[2301].speaker SPEAKER_04
transcript.pyannote[2301].start 10304.59784375
transcript.pyannote[2301].end 10305.27284375
transcript.pyannote[2302].speaker SPEAKER_04
transcript.pyannote[2302].start 10308.37784375
transcript.pyannote[2302].end 10308.88409375
transcript.pyannote[2303].speaker SPEAKER_04
transcript.pyannote[2303].start 10309.39034375
transcript.pyannote[2303].end 10310.25096875
transcript.pyannote[2304].speaker SPEAKER_04
transcript.pyannote[2304].start 10311.09471875
transcript.pyannote[2304].end 10312.96784375
transcript.pyannote[2305].speaker SPEAKER_04
transcript.pyannote[2305].start 10313.64284375
transcript.pyannote[2305].end 10315.00971875
transcript.pyannote[2306].speaker SPEAKER_04
transcript.pyannote[2306].start 10315.98846875
transcript.pyannote[2306].end 10318.21596875
transcript.pyannote[2307].speaker SPEAKER_04
transcript.pyannote[2307].start 10318.72221875
transcript.pyannote[2307].end 10319.53221875
transcript.pyannote[2308].speaker SPEAKER_04
transcript.pyannote[2308].start 10320.94971875
transcript.pyannote[2308].end 10323.78471875
transcript.pyannote[2309].speaker SPEAKER_04
transcript.pyannote[2309].start 10325.37096875
transcript.pyannote[2309].end 10327.15971875
transcript.pyannote[2310].speaker SPEAKER_04
transcript.pyannote[2310].start 10327.44659375
transcript.pyannote[2310].end 10328.76284375
transcript.pyannote[2311].speaker SPEAKER_04
transcript.pyannote[2311].start 10329.99471875
transcript.pyannote[2311].end 10332.55971875
transcript.pyannote[2312].speaker SPEAKER_04
transcript.pyannote[2312].start 10333.30221875
transcript.pyannote[2312].end 10334.58471875
transcript.pyannote[2313].speaker SPEAKER_04
transcript.pyannote[2313].start 10335.14159375
transcript.pyannote[2313].end 10335.51284375
transcript.pyannote[2314].speaker SPEAKER_04
transcript.pyannote[2314].start 10335.66471875
transcript.pyannote[2314].end 10336.98096875
transcript.pyannote[2315].speaker SPEAKER_04
transcript.pyannote[2315].start 10337.31846875
transcript.pyannote[2315].end 10337.63909375
transcript.pyannote[2316].speaker SPEAKER_04
transcript.pyannote[2316].start 10337.87534375
transcript.pyannote[2316].end 10339.24221875
transcript.pyannote[2317].speaker SPEAKER_00
transcript.pyannote[2317].start 10339.79909375
transcript.pyannote[2317].end 10340.05221875
transcript.pyannote[2318].speaker SPEAKER_04
transcript.pyannote[2318].start 10340.05221875
transcript.pyannote[2318].end 10341.62159375
transcript.pyannote[2319].speaker SPEAKER_00
transcript.pyannote[2319].start 10340.20409375
transcript.pyannote[2319].end 10340.55846875
transcript.pyannote[2320].speaker SPEAKER_04
transcript.pyannote[2320].start 10342.53284375
transcript.pyannote[2320].end 10343.35971875
transcript.pyannote[2321].speaker SPEAKER_04
transcript.pyannote[2321].start 10343.88284375
transcript.pyannote[2321].end 10345.53659375
transcript.pyannote[2322].speaker SPEAKER_04
transcript.pyannote[2322].start 10345.87409375
transcript.pyannote[2322].end 10346.43096875
transcript.pyannote[2323].speaker SPEAKER_04
transcript.pyannote[2323].start 10347.79784375
transcript.pyannote[2323].end 10348.27034375
transcript.pyannote[2324].speaker SPEAKER_04
transcript.pyannote[2324].start 10348.48971875
transcript.pyannote[2324].end 10348.70909375
transcript.pyannote[2325].speaker SPEAKER_04
transcript.pyannote[2325].start 10348.81034375
transcript.pyannote[2325].end 10350.19409375
transcript.pyannote[2326].speaker SPEAKER_04
transcript.pyannote[2326].start 10350.59909375
transcript.pyannote[2326].end 10354.31159375
transcript.pyannote[2327].speaker SPEAKER_04
transcript.pyannote[2327].start 10355.29034375
transcript.pyannote[2327].end 10356.74159375
transcript.pyannote[2328].speaker SPEAKER_04
transcript.pyannote[2328].start 10357.78784375
transcript.pyannote[2328].end 10361.41596875
transcript.pyannote[2329].speaker SPEAKER_04
transcript.pyannote[2329].start 10361.50034375
transcript.pyannote[2329].end 10362.81659375
transcript.pyannote[2330].speaker SPEAKER_04
transcript.pyannote[2330].start 10362.96846875
transcript.pyannote[2330].end 10366.42784375
transcript.pyannote[2331].speaker SPEAKER_04
transcript.pyannote[2331].start 10367.64284375
transcript.pyannote[2331].end 10373.56596875
transcript.pyannote[2332].speaker SPEAKER_04
transcript.pyannote[2332].start 10374.78096875
transcript.pyannote[2332].end 10375.54034375
transcript.pyannote[2333].speaker SPEAKER_04
transcript.pyannote[2333].start 10375.72596875
transcript.pyannote[2333].end 10378.29096875
transcript.pyannote[2334].speaker SPEAKER_04
transcript.pyannote[2334].start 10378.83096875
transcript.pyannote[2334].end 10380.61971875
transcript.pyannote[2335].speaker SPEAKER_04
transcript.pyannote[2335].start 10381.37909375
transcript.pyannote[2335].end 10384.18034375
transcript.pyannote[2336].speaker SPEAKER_04
transcript.pyannote[2336].start 10384.56846875
transcript.pyannote[2336].end 10388.63534375
transcript.pyannote[2337].speaker SPEAKER_04
transcript.pyannote[2337].start 10389.90096875
transcript.pyannote[2337].end 10393.57971875
transcript.pyannote[2338].speaker SPEAKER_04
transcript.pyannote[2338].start 10394.30534375
transcript.pyannote[2338].end 10394.87909375
transcript.pyannote[2339].speaker SPEAKER_04
transcript.pyannote[2339].start 10394.92971875
transcript.pyannote[2339].end 10396.71846875
transcript.pyannote[2340].speaker SPEAKER_04
transcript.pyannote[2340].start 10397.57909375
transcript.pyannote[2340].end 10398.35534375
transcript.pyannote[2341].speaker SPEAKER_36
transcript.pyannote[2341].start 10399.40159375
transcript.pyannote[2341].end 10405.49346875
transcript.pyannote[2342].speaker SPEAKER_04
transcript.pyannote[2342].start 10404.58221875
transcript.pyannote[2342].end 10406.03346875
transcript.pyannote[2343].speaker SPEAKER_36
transcript.pyannote[2343].start 10407.45096875
transcript.pyannote[2343].end 10408.41284375
transcript.pyannote[2344].speaker SPEAKER_36
transcript.pyannote[2344].start 10408.46346875
transcript.pyannote[2344].end 10416.15846875
transcript.pyannote[2345].speaker SPEAKER_04
transcript.pyannote[2345].start 10415.24721875
transcript.pyannote[2345].end 10424.25846875
transcript.pyannote[2346].speaker SPEAKER_04
transcript.pyannote[2346].start 10424.76471875
transcript.pyannote[2346].end 10427.48159375
transcript.pyannote[2347].speaker SPEAKER_04
transcript.pyannote[2347].start 10428.03846875
transcript.pyannote[2347].end 10429.94534375
transcript.pyannote[2348].speaker SPEAKER_04
transcript.pyannote[2348].start 10430.51909375
transcript.pyannote[2348].end 10433.18534375
transcript.pyannote[2349].speaker SPEAKER_04
transcript.pyannote[2349].start 10433.64096875
transcript.pyannote[2349].end 10434.55221875
transcript.pyannote[2350].speaker SPEAKER_04
transcript.pyannote[2350].start 10434.99096875
transcript.pyannote[2350].end 10438.29846875
transcript.pyannote[2351].speaker SPEAKER_36
transcript.pyannote[2351].start 10439.29409375
transcript.pyannote[2351].end 10447.19159375
transcript.pyannote[2352].speaker SPEAKER_04
transcript.pyannote[2352].start 10445.33534375
transcript.pyannote[2352].end 10450.44846875
transcript.pyannote[2353].speaker SPEAKER_36
transcript.pyannote[2353].start 10450.11096875
transcript.pyannote[2353].end 10450.31346875
transcript.pyannote[2354].speaker SPEAKER_04
transcript.pyannote[2354].start 10450.92096875
transcript.pyannote[2354].end 10451.79846875
transcript.pyannote[2355].speaker SPEAKER_04
transcript.pyannote[2355].start 10452.43971875
transcript.pyannote[2355].end 10455.89909375
transcript.pyannote[2356].speaker SPEAKER_04
transcript.pyannote[2356].start 10457.19846875
transcript.pyannote[2356].end 10460.42159375
transcript.pyannote[2357].speaker SPEAKER_04
transcript.pyannote[2357].start 10460.80971875
transcript.pyannote[2357].end 10465.90596875
transcript.pyannote[2358].speaker SPEAKER_41
transcript.pyannote[2358].start 10466.09159375
transcript.pyannote[2358].end 10466.47971875
transcript.pyannote[2359].speaker SPEAKER_04
transcript.pyannote[2359].start 10466.53034375
transcript.pyannote[2359].end 10468.85909375
transcript.pyannote[2360].speaker SPEAKER_41
transcript.pyannote[2360].start 10469.01096875
transcript.pyannote[2360].end 10469.39909375
transcript.pyannote[2361].speaker SPEAKER_04
transcript.pyannote[2361].start 10470.24284375
transcript.pyannote[2361].end 10470.46221875
transcript.pyannote[2362].speaker SPEAKER_04
transcript.pyannote[2362].start 10470.79971875
transcript.pyannote[2362].end 10471.40721875
transcript.pyannote[2363].speaker SPEAKER_04
transcript.pyannote[2363].start 10471.50846875
transcript.pyannote[2363].end 10472.16659375
transcript.pyannote[2364].speaker SPEAKER_04
transcript.pyannote[2364].start 10472.62221875
transcript.pyannote[2364].end 10473.28034375
transcript.pyannote[2365].speaker SPEAKER_04
transcript.pyannote[2365].start 10473.53346875
transcript.pyannote[2365].end 10473.76971875
transcript.pyannote[2366].speaker SPEAKER_41
transcript.pyannote[2366].start 10474.07346875
transcript.pyannote[2366].end 10474.47846875
transcript.pyannote[2367].speaker SPEAKER_04
transcript.pyannote[2367].start 10474.74846875
transcript.pyannote[2367].end 10476.46971875
transcript.pyannote[2368].speaker SPEAKER_04
transcript.pyannote[2368].start 10478.56221875
transcript.pyannote[2368].end 10479.91221875
transcript.pyannote[2369].speaker SPEAKER_04
transcript.pyannote[2369].start 10481.97096875
transcript.pyannote[2369].end 10482.73034375
transcript.pyannote[2370].speaker SPEAKER_04
transcript.pyannote[2370].start 10483.27034375
transcript.pyannote[2370].end 10484.02971875
transcript.pyannote[2371].speaker SPEAKER_04
transcript.pyannote[2371].start 10484.24909375
transcript.pyannote[2371].end 10484.80596875
transcript.pyannote[2372].speaker SPEAKER_04
transcript.pyannote[2372].start 10486.34159375
transcript.pyannote[2372].end 10489.90221875
transcript.pyannote[2373].speaker SPEAKER_04
transcript.pyannote[2373].start 10490.45909375
transcript.pyannote[2373].end 10492.78784375
transcript.pyannote[2374].speaker SPEAKER_04
transcript.pyannote[2374].start 10493.24346875
transcript.pyannote[2374].end 10496.23034375
transcript.pyannote[2375].speaker SPEAKER_04
transcript.pyannote[2375].start 10496.83784375
transcript.pyannote[2375].end 10504.34721875
transcript.pyannote[2376].speaker SPEAKER_04
transcript.pyannote[2376].start 10504.88721875
transcript.pyannote[2376].end 10508.34659375
transcript.pyannote[2377].speaker SPEAKER_04
transcript.pyannote[2377].start 10508.95409375
transcript.pyannote[2377].end 10513.02096875
transcript.pyannote[2378].speaker SPEAKER_04
transcript.pyannote[2378].start 10513.84784375
transcript.pyannote[2378].end 10514.87721875
transcript.pyannote[2379].speaker SPEAKER_04
transcript.pyannote[2379].start 10515.19784375
transcript.pyannote[2379].end 10516.39596875
transcript.pyannote[2380].speaker SPEAKER_04
transcript.pyannote[2380].start 10516.71659375
transcript.pyannote[2380].end 10518.16784375
transcript.pyannote[2381].speaker SPEAKER_04
transcript.pyannote[2381].start 10518.91034375
transcript.pyannote[2381].end 10521.50909375
transcript.pyannote[2382].speaker SPEAKER_04
transcript.pyannote[2382].start 10521.84659375
transcript.pyannote[2382].end 10527.58409375
transcript.pyannote[2383].speaker SPEAKER_04
transcript.pyannote[2383].start 10528.44471875
transcript.pyannote[2383].end 10531.73534375
transcript.pyannote[2384].speaker SPEAKER_04
transcript.pyannote[2384].start 10532.12346875
transcript.pyannote[2384].end 10532.98409375
transcript.pyannote[2385].speaker SPEAKER_04
transcript.pyannote[2385].start 10533.11909375
transcript.pyannote[2385].end 10533.43971875
transcript.pyannote[2386].speaker SPEAKER_39
transcript.pyannote[2386].start 10533.43971875
transcript.pyannote[2386].end 10533.65909375
transcript.pyannote[2387].speaker SPEAKER_04
transcript.pyannote[2387].start 10533.76034375
transcript.pyannote[2387].end 10535.04284375
transcript.pyannote[2388].speaker SPEAKER_04
transcript.pyannote[2388].start 10535.43096875
transcript.pyannote[2388].end 10537.67534375
transcript.pyannote[2389].speaker SPEAKER_04
transcript.pyannote[2389].start 10538.11409375
transcript.pyannote[2389].end 10542.60284375
transcript.pyannote[2390].speaker SPEAKER_04
transcript.pyannote[2390].start 10543.49721875
transcript.pyannote[2390].end 10548.00284375
transcript.pyannote[2391].speaker SPEAKER_04
transcript.pyannote[2391].start 10549.67346875
transcript.pyannote[2391].end 10551.31034375
transcript.pyannote[2392].speaker SPEAKER_04
transcript.pyannote[2392].start 10551.71534375
transcript.pyannote[2392].end 10560.38909375
transcript.pyannote[2393].speaker SPEAKER_04
transcript.pyannote[2393].start 10561.53659375
transcript.pyannote[2393].end 10562.34659375
transcript.pyannote[2394].speaker SPEAKER_22
transcript.pyannote[2394].start 10562.34659375
transcript.pyannote[2394].end 10571.03721875
transcript.pyannote[2395].speaker SPEAKER_04
transcript.pyannote[2395].start 10571.03721875
transcript.pyannote[2395].end 10573.66971875
transcript.pyannote[2396].speaker SPEAKER_04
transcript.pyannote[2396].start 10574.91846875
transcript.pyannote[2396].end 10575.44159375
transcript.pyannote[2397].speaker SPEAKER_04
transcript.pyannote[2397].start 10577.77034375
transcript.pyannote[2397].end 10580.03159375
transcript.pyannote[2398].speaker SPEAKER_04
transcript.pyannote[2398].start 10582.17471875
transcript.pyannote[2398].end 10582.63034375
transcript.pyannote[2399].speaker SPEAKER_04
transcript.pyannote[2399].start 10582.86659375
transcript.pyannote[2399].end 10583.62596875
transcript.pyannote[2400].speaker SPEAKER_04
transcript.pyannote[2400].start 10583.81159375
transcript.pyannote[2400].end 10586.02221875
transcript.pyannote[2401].speaker SPEAKER_04
transcript.pyannote[2401].start 10586.39346875
transcript.pyannote[2401].end 10589.22846875
transcript.pyannote[2402].speaker SPEAKER_04
transcript.pyannote[2402].start 10589.56596875
transcript.pyannote[2402].end 10590.35909375
transcript.pyannote[2403].speaker SPEAKER_04
transcript.pyannote[2403].start 10591.27034375
transcript.pyannote[2403].end 10594.34159375
transcript.pyannote[2404].speaker SPEAKER_04
transcript.pyannote[2404].start 10594.83096875
transcript.pyannote[2404].end 10595.97846875
transcript.pyannote[2405].speaker SPEAKER_31
transcript.pyannote[2405].start 10595.97846875
transcript.pyannote[2405].end 10602.66096875
transcript.pyannote[2406].speaker SPEAKER_00
transcript.pyannote[2406].start 10598.79659375
transcript.pyannote[2406].end 10598.91471875
transcript.pyannote[2407].speaker SPEAKER_00
transcript.pyannote[2407].start 10602.50909375
transcript.pyannote[2407].end 10602.96471875
transcript.pyannote[2408].speaker SPEAKER_31
transcript.pyannote[2408].start 10602.96471875
transcript.pyannote[2408].end 10609.05659375
transcript.pyannote[2409].speaker SPEAKER_31
transcript.pyannote[2409].start 10609.22534375
transcript.pyannote[2409].end 10612.14471875
transcript.pyannote[2410].speaker SPEAKER_04
transcript.pyannote[2410].start 10612.21221875
transcript.pyannote[2410].end 10615.57034375
transcript.pyannote[2411].speaker SPEAKER_04
transcript.pyannote[2411].start 10616.43096875
transcript.pyannote[2411].end 10623.63659375
transcript.pyannote[2412].speaker SPEAKER_04
transcript.pyannote[2412].start 10623.82221875
transcript.pyannote[2412].end 10633.37346875
transcript.pyannote[2413].speaker SPEAKER_22
transcript.pyannote[2413].start 10631.60159375
transcript.pyannote[2413].end 10637.28846875
transcript.pyannote[2414].speaker SPEAKER_04
transcript.pyannote[2414].start 10634.80784375
transcript.pyannote[2414].end 10634.85846875
transcript.pyannote[2415].speaker SPEAKER_04
transcript.pyannote[2415].start 10637.28846875
transcript.pyannote[2415].end 10642.65471875
transcript.pyannote[2416].speaker SPEAKER_04
transcript.pyannote[2416].start 10643.26221875
transcript.pyannote[2416].end 10645.67534375
transcript.pyannote[2417].speaker SPEAKER_17
transcript.pyannote[2417].start 10647.97034375
transcript.pyannote[2417].end 10648.78034375
transcript.pyannote[2418].speaker SPEAKER_04
transcript.pyannote[2418].start 10649.06721875
transcript.pyannote[2418].end 10650.38346875
transcript.pyannote[2419].speaker SPEAKER_04
transcript.pyannote[2419].start 10650.80534375
transcript.pyannote[2419].end 10653.45471875
transcript.pyannote[2420].speaker SPEAKER_04
transcript.pyannote[2420].start 10654.63596875
transcript.pyannote[2420].end 10658.73659375
transcript.pyannote[2421].speaker SPEAKER_04
transcript.pyannote[2421].start 10659.20909375
transcript.pyannote[2421].end 10659.34409375
transcript.pyannote[2422].speaker SPEAKER_04
transcript.pyannote[2422].start 10659.73221875
transcript.pyannote[2422].end 10660.79534375
transcript.pyannote[2423].speaker SPEAKER_04
transcript.pyannote[2423].start 10661.52096875
transcript.pyannote[2423].end 10663.69784375
transcript.pyannote[2424].speaker SPEAKER_04
transcript.pyannote[2424].start 10664.18721875
transcript.pyannote[2424].end 10666.48221875
transcript.pyannote[2425].speaker SPEAKER_04
transcript.pyannote[2425].start 10666.87034375
transcript.pyannote[2425].end 10669.35096875
transcript.pyannote[2426].speaker SPEAKER_04
transcript.pyannote[2426].start 10669.99221875
transcript.pyannote[2426].end 10670.78534375
transcript.pyannote[2427].speaker SPEAKER_04
transcript.pyannote[2427].start 10671.27471875
transcript.pyannote[2427].end 10673.35034375
transcript.pyannote[2428].speaker SPEAKER_04
transcript.pyannote[2428].start 10673.38409375
transcript.pyannote[2428].end 10680.40409375
transcript.pyannote[2429].speaker SPEAKER_03
transcript.pyannote[2429].start 10680.40409375
transcript.pyannote[2429].end 10680.42096875
transcript.pyannote[2430].speaker SPEAKER_03
transcript.pyannote[2430].start 10681.72034375
transcript.pyannote[2430].end 10684.08284375
transcript.pyannote[2431].speaker SPEAKER_03
transcript.pyannote[2431].start 10684.36971875
transcript.pyannote[2431].end 10692.28409375
transcript.pyannote[2432].speaker SPEAKER_03
transcript.pyannote[2432].start 10692.67221875
transcript.pyannote[2432].end 10712.21346875
transcript.pyannote[2433].speaker SPEAKER_04
transcript.pyannote[2433].start 10707.70784375
transcript.pyannote[2433].end 10708.24784375
transcript.pyannote[2434].speaker SPEAKER_04
transcript.pyannote[2434].start 10711.69034375
transcript.pyannote[2434].end 10730.94471875
transcript.pyannote[2435].speaker SPEAKER_03
transcript.pyannote[2435].start 10723.18221875
transcript.pyannote[2435].end 10723.87409375
transcript.pyannote[2436].speaker SPEAKER_03
transcript.pyannote[2436].start 10730.94471875
transcript.pyannote[2436].end 10743.01034375
transcript.pyannote[2437].speaker SPEAKER_04
transcript.pyannote[2437].start 10743.01034375
transcript.pyannote[2437].end 10748.56221875
transcript.pyannote[2438].speaker SPEAKER_03
transcript.pyannote[2438].start 10748.56221875
transcript.pyannote[2438].end 10748.91659375
transcript.pyannote[2439].speaker SPEAKER_03
transcript.pyannote[2439].start 10749.65909375
transcript.pyannote[2439].end 10751.95409375
transcript.pyannote[2440].speaker SPEAKER_03
transcript.pyannote[2440].start 10753.23659375
transcript.pyannote[2440].end 10755.98721875
transcript.pyannote[2441].speaker SPEAKER_04
transcript.pyannote[2441].start 10755.32909375
transcript.pyannote[2441].end 10756.42596875
transcript.pyannote[2442].speaker SPEAKER_03
transcript.pyannote[2442].start 10758.01221875
transcript.pyannote[2442].end 10760.71221875
transcript.pyannote[2443].speaker SPEAKER_04
transcript.pyannote[2443].start 10760.91471875
transcript.pyannote[2443].end 10770.39846875
transcript.pyannote[2444].speaker SPEAKER_03
transcript.pyannote[2444].start 10769.60534375
transcript.pyannote[2444].end 10772.79471875
transcript.pyannote[2445].speaker SPEAKER_03
transcript.pyannote[2445].start 10772.81159375
transcript.pyannote[2445].end 10773.58784375
transcript.pyannote[2446].speaker SPEAKER_04
transcript.pyannote[2446].start 10772.92971875
transcript.pyannote[2446].end 10773.60471875
transcript.pyannote[2447].speaker SPEAKER_03
transcript.pyannote[2447].start 10773.60471875
transcript.pyannote[2447].end 10773.65534375
transcript.pyannote[2448].speaker SPEAKER_04
transcript.pyannote[2448].start 10774.31346875
transcript.pyannote[2448].end 10775.84909375
transcript.pyannote[2449].speaker SPEAKER_04
transcript.pyannote[2449].start 10775.95034375
transcript.pyannote[2449].end 10777.41846875
transcript.pyannote[2450].speaker SPEAKER_04
transcript.pyannote[2450].start 10777.72221875
transcript.pyannote[2450].end 10783.07159375
transcript.pyannote[2451].speaker SPEAKER_04
transcript.pyannote[2451].start 10784.11784375
transcript.pyannote[2451].end 10784.23596875
transcript.pyannote[2452].speaker SPEAKER_22
transcript.pyannote[2452].start 10784.23596875
transcript.pyannote[2452].end 10784.42159375
transcript.pyannote[2453].speaker SPEAKER_04
transcript.pyannote[2453].start 10784.42159375
transcript.pyannote[2453].end 10784.74221875
transcript.pyannote[2454].speaker SPEAKER_22
transcript.pyannote[2454].start 10784.74221875
transcript.pyannote[2454].end 10784.75909375
transcript.pyannote[2455].speaker SPEAKER_04
transcript.pyannote[2455].start 10784.75909375
transcript.pyannote[2455].end 10784.84346875
transcript.pyannote[2456].speaker SPEAKER_22
transcript.pyannote[2456].start 10784.84346875
transcript.pyannote[2456].end 10788.97784375
transcript.pyannote[2457].speaker SPEAKER_22
transcript.pyannote[2457].start 10789.07909375
transcript.pyannote[2457].end 10789.21409375
transcript.pyannote[2458].speaker SPEAKER_22
transcript.pyannote[2458].start 10789.83846875
transcript.pyannote[2458].end 10805.09346875
transcript.pyannote[2459].speaker SPEAKER_04
transcript.pyannote[2459].start 10801.58346875
transcript.pyannote[2459].end 10822.96409375
transcript.pyannote[2460].speaker SPEAKER_22
transcript.pyannote[2460].start 10822.96409375
transcript.pyannote[2460].end 10824.56721875
transcript.pyannote[2461].speaker SPEAKER_22
transcript.pyannote[2461].start 10825.46159375
transcript.pyannote[2461].end 10834.20284375
transcript.pyannote[2462].speaker SPEAKER_22
transcript.pyannote[2462].start 10834.43909375
transcript.pyannote[2462].end 10837.71284375
transcript.pyannote[2463].speaker SPEAKER_04
transcript.pyannote[2463].start 10836.51471875
transcript.pyannote[2463].end 10841.22284375
transcript.pyannote[2464].speaker SPEAKER_22
transcript.pyannote[2464].start 10837.88159375
transcript.pyannote[2464].end 10839.77159375
transcript.pyannote[2465].speaker SPEAKER_22
transcript.pyannote[2465].start 10840.36221875
transcript.pyannote[2465].end 10840.71659375
transcript.pyannote[2466].speaker SPEAKER_22
transcript.pyannote[2466].start 10841.22284375
transcript.pyannote[2466].end 10841.34096875
transcript.pyannote[2467].speaker SPEAKER_04
transcript.pyannote[2467].start 10841.34096875
transcript.pyannote[2467].end 10841.42534375
transcript.pyannote[2468].speaker SPEAKER_22
transcript.pyannote[2468].start 10841.42534375
transcript.pyannote[2468].end 10843.58534375
transcript.pyannote[2469].speaker SPEAKER_04
transcript.pyannote[2469].start 10841.44221875
transcript.pyannote[2469].end 10845.03659375
transcript.pyannote[2470].speaker SPEAKER_04
transcript.pyannote[2470].start 10845.91409375
transcript.pyannote[2470].end 10850.20034375
transcript.pyannote[2471].speaker SPEAKER_04
transcript.pyannote[2471].start 10850.92596875
transcript.pyannote[2471].end 10852.36034375
transcript.pyannote[2472].speaker SPEAKER_04
transcript.pyannote[2472].start 10853.22096875
transcript.pyannote[2472].end 10853.49096875
transcript.pyannote[2473].speaker SPEAKER_04
transcript.pyannote[2473].start 10855.85346875
transcript.pyannote[2473].end 10858.72221875
transcript.pyannote[2474].speaker SPEAKER_17
transcript.pyannote[2474].start 10864.52721875
transcript.pyannote[2474].end 10866.40034375
transcript.pyannote[2475].speaker SPEAKER_39
transcript.pyannote[2475].start 10870.82159375
transcript.pyannote[2475].end 10871.22659375
transcript.pyannote[2476].speaker SPEAKER_32
transcript.pyannote[2476].start 10883.10659375
transcript.pyannote[2476].end 10885.78971875
transcript.pyannote[2477].speaker SPEAKER_17
transcript.pyannote[2477].start 10886.04284375
transcript.pyannote[2477].end 10886.73471875
transcript.pyannote[2478].speaker SPEAKER_32
transcript.pyannote[2478].start 10887.15659375
transcript.pyannote[2478].end 10887.64596875
transcript.pyannote[2479].speaker SPEAKER_17
transcript.pyannote[2479].start 10888.81034375
transcript.pyannote[2479].end 10888.92846875
transcript.pyannote[2480].speaker SPEAKER_32
transcript.pyannote[2480].start 10895.88096875
transcript.pyannote[2480].end 10897.14659375
transcript.pyannote[2481].speaker SPEAKER_44
transcript.pyannote[2481].start 10895.96534375
transcript.pyannote[2481].end 10896.58971875
transcript.pyannote[2482].speaker SPEAKER_32
transcript.pyannote[2482].start 10897.83846875
transcript.pyannote[2482].end 10899.03659375
transcript.pyannote[2483].speaker SPEAKER_32
transcript.pyannote[2483].start 10899.32346875
transcript.pyannote[2483].end 10906.02284375
transcript.pyannote[2484].speaker SPEAKER_32
transcript.pyannote[2484].start 10906.71471875
transcript.pyannote[2484].end 10909.11096875
transcript.pyannote[2485].speaker SPEAKER_32
transcript.pyannote[2485].start 10909.80284375
transcript.pyannote[2485].end 10913.90346875
transcript.pyannote[2486].speaker SPEAKER_32
transcript.pyannote[2486].start 10915.28721875
transcript.pyannote[2486].end 10916.04659375
transcript.pyannote[2487].speaker SPEAKER_32
transcript.pyannote[2487].start 10916.63721875
transcript.pyannote[2487].end 10917.39659375
transcript.pyannote[2488].speaker SPEAKER_32
transcript.pyannote[2488].start 10917.80159375
transcript.pyannote[2488].end 10918.52721875
transcript.pyannote[2489].speaker SPEAKER_32
transcript.pyannote[2489].start 10919.01659375
transcript.pyannote[2489].end 10922.47596875
transcript.pyannote[2490].speaker SPEAKER_32
transcript.pyannote[2490].start 10923.11721875
transcript.pyannote[2490].end 10924.02846875
transcript.pyannote[2491].speaker SPEAKER_32
transcript.pyannote[2491].start 10924.77096875
transcript.pyannote[2491].end 10925.12534375
transcript.pyannote[2492].speaker SPEAKER_32
transcript.pyannote[2492].start 10925.81721875
transcript.pyannote[2492].end 10929.91784375
transcript.pyannote[2493].speaker SPEAKER_32
transcript.pyannote[2493].start 10930.12034375
transcript.pyannote[2493].end 10931.33534375
transcript.pyannote[2494].speaker SPEAKER_32
transcript.pyannote[2494].start 10931.67284375
transcript.pyannote[2494].end 10932.82034375
transcript.pyannote[2495].speaker SPEAKER_32
transcript.pyannote[2495].start 10933.39409375
transcript.pyannote[2495].end 10934.03534375
transcript.pyannote[2496].speaker SPEAKER_32
transcript.pyannote[2496].start 10934.84534375
transcript.pyannote[2496].end 10936.70159375
transcript.pyannote[2497].speaker SPEAKER_32
transcript.pyannote[2497].start 10937.34284375
transcript.pyannote[2497].end 10939.99221875
transcript.pyannote[2498].speaker SPEAKER_32
transcript.pyannote[2498].start 10940.68409375
transcript.pyannote[2498].end 10942.74284375
transcript.pyannote[2499].speaker SPEAKER_32
transcript.pyannote[2499].start 10943.94096875
transcript.pyannote[2499].end 10948.91909375
transcript.pyannote[2500].speaker SPEAKER_32
transcript.pyannote[2500].start 10949.35784375
transcript.pyannote[2500].end 10953.47534375
transcript.pyannote[2501].speaker SPEAKER_32
transcript.pyannote[2501].start 10955.60159375
transcript.pyannote[2501].end 10956.91784375
transcript.pyannote[2502].speaker SPEAKER_32
transcript.pyannote[2502].start 10957.37346875
transcript.pyannote[2502].end 10958.67284375
transcript.pyannote[2503].speaker SPEAKER_32
transcript.pyannote[2503].start 10959.06096875
transcript.pyannote[2503].end 10961.22096875
transcript.pyannote[2504].speaker SPEAKER_32
transcript.pyannote[2504].start 10962.13221875
transcript.pyannote[2504].end 10963.24596875
transcript.pyannote[2505].speaker SPEAKER_32
transcript.pyannote[2505].start 10964.20784375
transcript.pyannote[2505].end 10964.93346875
transcript.pyannote[2506].speaker SPEAKER_32
transcript.pyannote[2506].start 10965.37221875
transcript.pyannote[2506].end 10967.41409375
transcript.pyannote[2507].speaker SPEAKER_32
transcript.pyannote[2507].start 10967.97096875
transcript.pyannote[2507].end 10968.96659375
transcript.pyannote[2508].speaker SPEAKER_32
transcript.pyannote[2508].start 10969.59096875
transcript.pyannote[2508].end 10970.33346875
transcript.pyannote[2509].speaker SPEAKER_32
transcript.pyannote[2509].start 10970.72159375
transcript.pyannote[2509].end 10971.95346875
transcript.pyannote[2510].speaker SPEAKER_32
transcript.pyannote[2510].start 10972.76346875
transcript.pyannote[2510].end 10973.92784375
transcript.pyannote[2511].speaker SPEAKER_32
transcript.pyannote[2511].start 10974.29909375
transcript.pyannote[2511].end 10976.66159375
transcript.pyannote[2512].speaker SPEAKER_32
transcript.pyannote[2512].start 10977.40409375
transcript.pyannote[2512].end 10979.44596875
transcript.pyannote[2513].speaker SPEAKER_32
transcript.pyannote[2513].start 10980.42471875
transcript.pyannote[2513].end 10980.74534375
transcript.pyannote[2514].speaker SPEAKER_32
transcript.pyannote[2514].start 10980.94784375
transcript.pyannote[2514].end 10981.77471875
transcript.pyannote[2515].speaker SPEAKER_32
transcript.pyannote[2515].start 10982.61846875
transcript.pyannote[2515].end 10987.32659375
transcript.pyannote[2516].speaker SPEAKER_32
transcript.pyannote[2516].start 10988.17034375
transcript.pyannote[2516].end 10989.53721875
transcript.pyannote[2517].speaker SPEAKER_32
transcript.pyannote[2517].start 10990.54971875
transcript.pyannote[2517].end 10990.81971875
transcript.pyannote[2518].speaker SPEAKER_32
transcript.pyannote[2518].start 10991.86596875
transcript.pyannote[2518].end 10994.05971875
transcript.pyannote[2519].speaker SPEAKER_32
transcript.pyannote[2519].start 10994.34659375
transcript.pyannote[2519].end 10995.03846875
transcript.pyannote[2520].speaker SPEAKER_32
transcript.pyannote[2520].start 10996.67534375
transcript.pyannote[2520].end 10997.80596875
transcript.pyannote[2521].speaker SPEAKER_32
transcript.pyannote[2521].start 10998.43034375
transcript.pyannote[2521].end 10999.51034375
transcript.pyannote[2522].speaker SPEAKER_32
transcript.pyannote[2522].start 11000.05034375
transcript.pyannote[2522].end 11002.64909375
transcript.pyannote[2523].speaker SPEAKER_32
transcript.pyannote[2523].start 11003.07096875
transcript.pyannote[2523].end 11005.85534375
transcript.pyannote[2524].speaker SPEAKER_32
transcript.pyannote[2524].start 11007.23909375
transcript.pyannote[2524].end 11007.74534375
transcript.pyannote[2525].speaker SPEAKER_32
transcript.pyannote[2525].start 11008.43721875
transcript.pyannote[2525].end 11009.19659375
transcript.pyannote[2526].speaker SPEAKER_32
transcript.pyannote[2526].start 11009.43284375
transcript.pyannote[2526].end 11010.66471875
transcript.pyannote[2527].speaker SPEAKER_32
transcript.pyannote[2527].start 11011.49159375
transcript.pyannote[2527].end 11012.87534375
transcript.pyannote[2528].speaker SPEAKER_32
transcript.pyannote[2528].start 11013.76971875
transcript.pyannote[2528].end 11016.72284375
transcript.pyannote[2529].speaker SPEAKER_32
transcript.pyannote[2529].start 11017.49909375
transcript.pyannote[2529].end 11019.35534375
transcript.pyannote[2530].speaker SPEAKER_32
transcript.pyannote[2530].start 11020.87409375
transcript.pyannote[2530].end 11022.32534375
transcript.pyannote[2531].speaker SPEAKER_32
transcript.pyannote[2531].start 11023.01721875
transcript.pyannote[2531].end 11024.01284375
transcript.pyannote[2532].speaker SPEAKER_32
transcript.pyannote[2532].start 11025.26159375
transcript.pyannote[2532].end 11027.47221875
transcript.pyannote[2533].speaker SPEAKER_32
transcript.pyannote[2533].start 11028.21471875
transcript.pyannote[2533].end 11029.15971875
transcript.pyannote[2534].speaker SPEAKER_32
transcript.pyannote[2534].start 11029.64909375
transcript.pyannote[2534].end 11032.46721875
transcript.pyannote[2535].speaker SPEAKER_32
transcript.pyannote[2535].start 11033.27721875
transcript.pyannote[2535].end 11033.58096875
transcript.pyannote[2536].speaker SPEAKER_32
transcript.pyannote[2536].start 11035.28534375
transcript.pyannote[2536].end 11035.79159375
transcript.pyannote[2537].speaker SPEAKER_32
transcript.pyannote[2537].start 11037.20909375
transcript.pyannote[2537].end 11042.03534375
transcript.pyannote[2538].speaker SPEAKER_32
transcript.pyannote[2538].start 11042.65971875
transcript.pyannote[2538].end 11043.41909375
transcript.pyannote[2539].speaker SPEAKER_32
transcript.pyannote[2539].start 11044.21221875
transcript.pyannote[2539].end 11044.53284375
transcript.pyannote[2540].speaker SPEAKER_32
transcript.pyannote[2540].start 11045.19096875
transcript.pyannote[2540].end 11045.93346875
transcript.pyannote[2541].speaker SPEAKER_32
transcript.pyannote[2541].start 11046.45659375
transcript.pyannote[2541].end 11048.66721875
transcript.pyannote[2542].speaker SPEAKER_32
transcript.pyannote[2542].start 11049.17346875
transcript.pyannote[2542].end 11050.94534375
transcript.pyannote[2543].speaker SPEAKER_32
transcript.pyannote[2543].start 11052.21096875
transcript.pyannote[2543].end 11052.48096875
transcript.pyannote[2544].speaker SPEAKER_32
transcript.pyannote[2544].start 11053.27409375
transcript.pyannote[2544].end 11054.55659375
transcript.pyannote[2545].speaker SPEAKER_32
transcript.pyannote[2545].start 11056.17659375
transcript.pyannote[2545].end 11057.10471875
transcript.pyannote[2546].speaker SPEAKER_32
transcript.pyannote[2546].start 11057.88096875
transcript.pyannote[2546].end 11058.96096875
transcript.pyannote[2547].speaker SPEAKER_32
transcript.pyannote[2547].start 11059.73721875
transcript.pyannote[2547].end 11060.61471875
transcript.pyannote[2548].speaker SPEAKER_32
transcript.pyannote[2548].start 11061.39096875
transcript.pyannote[2548].end 11063.04471875
transcript.pyannote[2549].speaker SPEAKER_32
transcript.pyannote[2549].start 11064.04034375
transcript.pyannote[2549].end 11065.47471875
transcript.pyannote[2550].speaker SPEAKER_32
transcript.pyannote[2550].start 11065.77846875
transcript.pyannote[2550].end 11067.63471875
transcript.pyannote[2551].speaker SPEAKER_32
transcript.pyannote[2551].start 11068.69784375
transcript.pyannote[2551].end 11069.82846875
transcript.pyannote[2552].speaker SPEAKER_32
transcript.pyannote[2552].start 11070.28409375
transcript.pyannote[2552].end 11071.21221875
transcript.pyannote[2553].speaker SPEAKER_32
transcript.pyannote[2553].start 11072.47784375
transcript.pyannote[2553].end 11073.28784375
transcript.pyannote[2554].speaker SPEAKER_32
transcript.pyannote[2554].start 11075.46471875
transcript.pyannote[2554].end 11075.73471875
transcript.pyannote[2555].speaker SPEAKER_32
transcript.pyannote[2555].start 11075.88659375
transcript.pyannote[2555].end 11078.02971875
transcript.pyannote[2556].speaker SPEAKER_32
transcript.pyannote[2556].start 11078.26596875
transcript.pyannote[2556].end 11078.80596875
transcript.pyannote[2557].speaker SPEAKER_32
transcript.pyannote[2557].start 11081.08409375
transcript.pyannote[2557].end 11081.82659375
transcript.pyannote[2558].speaker SPEAKER_32
transcript.pyannote[2558].start 11083.12596875
transcript.pyannote[2558].end 11084.08784375
transcript.pyannote[2559].speaker SPEAKER_32
transcript.pyannote[2559].start 11084.34096875
transcript.pyannote[2559].end 11085.85971875
transcript.pyannote[2560].speaker SPEAKER_32
transcript.pyannote[2560].start 11087.14221875
transcript.pyannote[2560].end 11088.67784375
transcript.pyannote[2561].speaker SPEAKER_32
transcript.pyannote[2561].start 11089.80846875
transcript.pyannote[2561].end 11091.51284375
transcript.pyannote[2562].speaker SPEAKER_32
transcript.pyannote[2562].start 11094.63471875
transcript.pyannote[2562].end 11095.49534375
transcript.pyannote[2563].speaker SPEAKER_32
transcript.pyannote[2563].start 11096.05221875
transcript.pyannote[2563].end 11097.33471875
transcript.pyannote[2564].speaker SPEAKER_32
transcript.pyannote[2564].start 11097.72284375
transcript.pyannote[2564].end 11098.58346875
transcript.pyannote[2565].speaker SPEAKER_32
transcript.pyannote[2565].start 11099.91659375
transcript.pyannote[2565].end 11102.46471875
transcript.pyannote[2566].speaker SPEAKER_32
transcript.pyannote[2566].start 11103.74721875
transcript.pyannote[2566].end 11104.77659375
transcript.pyannote[2567].speaker SPEAKER_32
transcript.pyannote[2567].start 11106.09284375
transcript.pyannote[2567].end 11106.91971875
transcript.pyannote[2568].speaker SPEAKER_32
transcript.pyannote[2568].start 11108.18534375
transcript.pyannote[2568].end 11108.75909375
transcript.pyannote[2569].speaker SPEAKER_32
transcript.pyannote[2569].start 11110.04159375
transcript.pyannote[2569].end 11111.29034375
transcript.pyannote[2570].speaker SPEAKER_32
transcript.pyannote[2570].start 11112.65721875
transcript.pyannote[2570].end 11114.63159375
transcript.pyannote[2571].speaker SPEAKER_32
transcript.pyannote[2571].start 11116.23471875
transcript.pyannote[2571].end 11117.04471875
transcript.pyannote[2572].speaker SPEAKER_32
transcript.pyannote[2572].start 11117.77034375
transcript.pyannote[2572].end 11118.76596875
transcript.pyannote[2573].speaker SPEAKER_32
transcript.pyannote[2573].start 11119.47471875
transcript.pyannote[2573].end 11120.63909375
transcript.pyannote[2574].speaker SPEAKER_32
transcript.pyannote[2574].start 11121.93846875
transcript.pyannote[2574].end 11122.57971875
transcript.pyannote[2575].speaker SPEAKER_32
transcript.pyannote[2575].start 11123.30534375
transcript.pyannote[2575].end 11125.16159375
transcript.pyannote[2576].speaker SPEAKER_32
transcript.pyannote[2576].start 11125.78596875
transcript.pyannote[2576].end 11126.35971875
transcript.pyannote[2577].speaker SPEAKER_32
transcript.pyannote[2577].start 11127.52409375
transcript.pyannote[2577].end 11129.11034375
transcript.pyannote[2578].speaker SPEAKER_32
transcript.pyannote[2578].start 11130.15659375
transcript.pyannote[2578].end 11130.46034375
transcript.pyannote[2579].speaker SPEAKER_32
transcript.pyannote[2579].start 11131.86096875
transcript.pyannote[2579].end 11133.59909375
transcript.pyannote[2580].speaker SPEAKER_32
transcript.pyannote[2580].start 11134.18971875
transcript.pyannote[2580].end 11135.45534375
transcript.pyannote[2581].speaker SPEAKER_32
transcript.pyannote[2581].start 11137.66596875
transcript.pyannote[2581].end 11138.35784375
transcript.pyannote[2582].speaker SPEAKER_32
transcript.pyannote[2582].start 11139.10034375
transcript.pyannote[2582].end 11140.19721875
transcript.pyannote[2583].speaker SPEAKER_32
transcript.pyannote[2583].start 11141.00721875
transcript.pyannote[2583].end 11142.27284375
transcript.pyannote[2584].speaker SPEAKER_32
transcript.pyannote[2584].start 11143.11659375
transcript.pyannote[2584].end 11144.41596875
transcript.pyannote[2585].speaker SPEAKER_32
transcript.pyannote[2585].start 11145.39471875
transcript.pyannote[2585].end 11147.09909375
transcript.pyannote[2586].speaker SPEAKER_32
transcript.pyannote[2586].start 11147.79096875
transcript.pyannote[2586].end 11149.09034375
transcript.pyannote[2587].speaker SPEAKER_32
transcript.pyannote[2587].start 11149.88346875
transcript.pyannote[2587].end 11151.90846875
transcript.pyannote[2588].speaker SPEAKER_32
transcript.pyannote[2588].start 11152.71846875
transcript.pyannote[2588].end 11156.17784375
transcript.pyannote[2589].speaker SPEAKER_32
transcript.pyannote[2589].start 11156.75159375
transcript.pyannote[2589].end 11158.27034375
transcript.pyannote[2590].speaker SPEAKER_32
transcript.pyannote[2590].start 11159.60346875
transcript.pyannote[2590].end 11162.65784375
transcript.pyannote[2591].speaker SPEAKER_32
transcript.pyannote[2591].start 11164.27784375
transcript.pyannote[2591].end 11166.38721875
transcript.pyannote[2592].speaker SPEAKER_32
transcript.pyannote[2592].start 11167.38284375
transcript.pyannote[2592].end 11168.42909375
transcript.pyannote[2593].speaker SPEAKER_32
transcript.pyannote[2593].start 11168.74971875
transcript.pyannote[2593].end 11170.16721875
transcript.pyannote[2594].speaker SPEAKER_32
transcript.pyannote[2594].start 11170.58909375
transcript.pyannote[2594].end 11171.34846875
transcript.pyannote[2595].speaker SPEAKER_32
transcript.pyannote[2595].start 11173.03596875
transcript.pyannote[2595].end 11174.18346875
transcript.pyannote[2596].speaker SPEAKER_32
transcript.pyannote[2596].start 11175.53346875
transcript.pyannote[2596].end 11177.62596875
transcript.pyannote[2597].speaker SPEAKER_32
transcript.pyannote[2597].start 11179.16159375
transcript.pyannote[2597].end 11181.64221875
transcript.pyannote[2598].speaker SPEAKER_32
transcript.pyannote[2598].start 11182.80659375
transcript.pyannote[2598].end 11183.93721875
transcript.pyannote[2599].speaker SPEAKER_32
transcript.pyannote[2599].start 11184.17346875
transcript.pyannote[2599].end 11185.30409375
transcript.pyannote[2600].speaker SPEAKER_32
transcript.pyannote[2600].start 11185.40534375
transcript.pyannote[2600].end 11187.27846875
transcript.pyannote[2601].speaker SPEAKER_32
transcript.pyannote[2601].start 11188.10534375
transcript.pyannote[2601].end 11190.38346875
transcript.pyannote[2602].speaker SPEAKER_32
transcript.pyannote[2602].start 11191.42971875
transcript.pyannote[2602].end 11193.89346875
transcript.pyannote[2603].speaker SPEAKER_32
transcript.pyannote[2603].start 11196.01971875
transcript.pyannote[2603].end 11196.30659375
transcript.pyannote[2604].speaker SPEAKER_32
transcript.pyannote[2604].start 11196.61034375
transcript.pyannote[2604].end 11197.52159375
transcript.pyannote[2605].speaker SPEAKER_32
transcript.pyannote[2605].start 11198.41596875
transcript.pyannote[2605].end 11198.98971875
transcript.pyannote[2606].speaker SPEAKER_32
transcript.pyannote[2606].start 11199.15846875
transcript.pyannote[2606].end 11199.29346875
transcript.pyannote[2607].speaker SPEAKER_32
transcript.pyannote[2607].start 11199.56346875
transcript.pyannote[2607].end 11199.90096875
transcript.pyannote[2608].speaker SPEAKER_32
transcript.pyannote[2608].start 11201.84159375
transcript.pyannote[2608].end 11202.56721875
transcript.pyannote[2609].speaker SPEAKER_32
transcript.pyannote[2609].start 11203.14096875
transcript.pyannote[2609].end 11204.15346875
transcript.pyannote[2610].speaker SPEAKER_32
transcript.pyannote[2610].start 11205.62159375
transcript.pyannote[2610].end 11206.16159375
transcript.pyannote[2611].speaker SPEAKER_32
transcript.pyannote[2611].start 11206.34721875
transcript.pyannote[2611].end 11207.22471875
transcript.pyannote[2612].speaker SPEAKER_32
transcript.pyannote[2612].start 11208.00096875
transcript.pyannote[2612].end 11208.92909375
transcript.pyannote[2613].speaker SPEAKER_32
transcript.pyannote[2613].start 11209.38471875
transcript.pyannote[2613].end 11210.86971875
transcript.pyannote[2614].speaker SPEAKER_32
transcript.pyannote[2614].start 11211.96659375
transcript.pyannote[2614].end 11213.09721875
transcript.pyannote[2615].speaker SPEAKER_32
transcript.pyannote[2615].start 11213.73846875
transcript.pyannote[2615].end 11214.81846875
transcript.pyannote[2616].speaker SPEAKER_32
transcript.pyannote[2616].start 11215.34159375
transcript.pyannote[2616].end 11219.00346875
transcript.pyannote[2617].speaker SPEAKER_32
transcript.pyannote[2617].start 11220.52221875
transcript.pyannote[2617].end 11221.09596875
transcript.pyannote[2618].speaker SPEAKER_32
transcript.pyannote[2618].start 11221.82159375
transcript.pyannote[2618].end 11222.12534375
transcript.pyannote[2619].speaker SPEAKER_32
transcript.pyannote[2619].start 11224.11659375
transcript.pyannote[2619].end 11224.94346875
transcript.pyannote[2620].speaker SPEAKER_32
transcript.pyannote[2620].start 11225.77034375
transcript.pyannote[2620].end 11226.90096875
transcript.pyannote[2621].speaker SPEAKER_32
transcript.pyannote[2621].start 11228.45346875
transcript.pyannote[2621].end 11228.79096875
transcript.pyannote[2622].speaker SPEAKER_32
transcript.pyannote[2622].start 11230.00596875
transcript.pyannote[2622].end 11231.23784375
transcript.pyannote[2623].speaker SPEAKER_32
transcript.pyannote[2623].start 11231.87909375
transcript.pyannote[2623].end 11232.82409375
transcript.pyannote[2624].speaker SPEAKER_32
transcript.pyannote[2624].start 11234.59596875
transcript.pyannote[2624].end 11235.11909375
transcript.pyannote[2625].speaker SPEAKER_32
transcript.pyannote[2625].start 11236.43534375
transcript.pyannote[2625].end 11236.82346875
transcript.pyannote[2626].speaker SPEAKER_32
transcript.pyannote[2626].start 11237.83596875
transcript.pyannote[2626].end 11238.10596875
transcript.pyannote[2627].speaker SPEAKER_32
transcript.pyannote[2627].start 11239.10159375
transcript.pyannote[2627].end 11239.75971875
transcript.pyannote[2628].speaker SPEAKER_32
transcript.pyannote[2628].start 11240.92409375
transcript.pyannote[2628].end 11245.69971875
transcript.pyannote[2629].speaker SPEAKER_32
transcript.pyannote[2629].start 11246.64471875
transcript.pyannote[2629].end 11247.33659375
transcript.pyannote[2630].speaker SPEAKER_32
transcript.pyannote[2630].start 11248.19721875
transcript.pyannote[2630].end 11250.34034375
transcript.pyannote[2631].speaker SPEAKER_32
transcript.pyannote[2631].start 11250.72846875
transcript.pyannote[2631].end 11253.19221875
transcript.pyannote[2632].speaker SPEAKER_32
transcript.pyannote[2632].start 11254.60971875
transcript.pyannote[2632].end 11254.99784375
transcript.pyannote[2633].speaker SPEAKER_32
transcript.pyannote[2633].start 11256.46596875
transcript.pyannote[2633].end 11258.25471875
transcript.pyannote[2634].speaker SPEAKER_32
transcript.pyannote[2634].start 11259.62159375
transcript.pyannote[2634].end 11261.29221875
transcript.pyannote[2635].speaker SPEAKER_32
transcript.pyannote[2635].start 11261.78159375
transcript.pyannote[2635].end 11262.35534375
transcript.pyannote[2636].speaker SPEAKER_32
transcript.pyannote[2636].start 11262.91221875
transcript.pyannote[2636].end 11265.49409375
transcript.pyannote[2637].speaker SPEAKER_32
transcript.pyannote[2637].start 11266.79346875
transcript.pyannote[2637].end 11267.56971875
transcript.pyannote[2638].speaker SPEAKER_05
transcript.pyannote[2638].start 11268.54846875
transcript.pyannote[2638].end 11269.07159375
transcript.pyannote[2639].speaker SPEAKER_05
transcript.pyannote[2639].start 11269.84784375
transcript.pyannote[2639].end 11287.36409375
transcript.pyannote[2640].speaker SPEAKER_32
transcript.pyannote[2640].start 11284.68096875
transcript.pyannote[2640].end 11286.21659375
transcript.pyannote[2641].speaker SPEAKER_32
transcript.pyannote[2641].start 11287.49909375
transcript.pyannote[2641].end 11287.97159375
transcript.pyannote[2642].speaker SPEAKER_05
transcript.pyannote[2642].start 11287.97159375
transcript.pyannote[2642].end 11289.23721875
transcript.pyannote[2643].speaker SPEAKER_32
transcript.pyannote[2643].start 11288.56221875
transcript.pyannote[2643].end 11289.22034375
transcript.pyannote[2644].speaker SPEAKER_32
transcript.pyannote[2644].start 11289.23721875
transcript.pyannote[2644].end 11290.67159375
transcript.pyannote[2645].speaker SPEAKER_32
transcript.pyannote[2645].start 11291.29596875
transcript.pyannote[2645].end 11291.31284375
transcript.pyannote[2646].speaker SPEAKER_05
transcript.pyannote[2646].start 11291.31284375
transcript.pyannote[2646].end 11292.08909375
transcript.pyannote[2647].speaker SPEAKER_32
transcript.pyannote[2647].start 11292.37596875
transcript.pyannote[2647].end 11293.28721875
transcript.pyannote[2648].speaker SPEAKER_05
transcript.pyannote[2648].start 11292.74721875
transcript.pyannote[2648].end 11298.77159375
transcript.pyannote[2649].speaker SPEAKER_05
transcript.pyannote[2649].start 11299.12596875
transcript.pyannote[2649].end 11307.36096875
transcript.pyannote[2650].speaker SPEAKER_32
transcript.pyannote[2650].start 11303.42909375
transcript.pyannote[2650].end 11306.53409375
transcript.pyannote[2651].speaker SPEAKER_32
transcript.pyannote[2651].start 11306.90534375
transcript.pyannote[2651].end 11309.67284375
transcript.pyannote[2652].speaker SPEAKER_32
transcript.pyannote[2652].start 11310.95534375
transcript.pyannote[2652].end 11311.74846875
transcript.pyannote[2653].speaker SPEAKER_32
transcript.pyannote[2653].start 11312.47409375
transcript.pyannote[2653].end 11313.23346875
transcript.pyannote[2654].speaker SPEAKER_32
transcript.pyannote[2654].start 11314.33034375
transcript.pyannote[2654].end 11317.01346875
transcript.pyannote[2655].speaker SPEAKER_32
transcript.pyannote[2655].start 11317.57034375
transcript.pyannote[2655].end 11318.02596875
transcript.pyannote[2656].speaker SPEAKER_32
transcript.pyannote[2656].start 11319.67971875
transcript.pyannote[2656].end 11320.03409375
transcript.pyannote[2657].speaker SPEAKER_05
transcript.pyannote[2657].start 11320.03409375
transcript.pyannote[2657].end 11321.26596875
transcript.pyannote[2658].speaker SPEAKER_05
transcript.pyannote[2658].start 11322.10971875
transcript.pyannote[2658].end 11330.44596875
transcript.pyannote[2659].speaker SPEAKER_05
transcript.pyannote[2659].start 11330.54721875
transcript.pyannote[2659].end 11333.36534375
transcript.pyannote[2660].speaker SPEAKER_05
transcript.pyannote[2660].start 11333.66909375
transcript.pyannote[2660].end 11342.84909375
transcript.pyannote[2661].speaker SPEAKER_32
transcript.pyannote[2661].start 11342.51159375
transcript.pyannote[2661].end 11344.92471875
transcript.pyannote[2662].speaker SPEAKER_32
transcript.pyannote[2662].start 11345.93721875
transcript.pyannote[2662].end 11347.38846875
transcript.pyannote[2663].speaker SPEAKER_32
transcript.pyannote[2663].start 11347.97909375
transcript.pyannote[2663].end 11351.75909375
transcript.pyannote[2664].speaker SPEAKER_05
transcript.pyannote[2664].start 11351.10096875
transcript.pyannote[2664].end 11351.97846875
transcript.pyannote[2665].speaker SPEAKER_32
transcript.pyannote[2665].start 11351.97846875
transcript.pyannote[2665].end 11353.58159375
transcript.pyannote[2666].speaker SPEAKER_32
transcript.pyannote[2666].start 11353.93596875
transcript.pyannote[2666].end 11360.29784375
transcript.pyannote[2667].speaker SPEAKER_32
transcript.pyannote[2667].start 11361.04034375
transcript.pyannote[2667].end 11362.81221875
transcript.pyannote[2668].speaker SPEAKER_32
transcript.pyannote[2668].start 11363.48721875
transcript.pyannote[2668].end 11364.02721875
transcript.pyannote[2669].speaker SPEAKER_05
transcript.pyannote[2669].start 11364.02721875
transcript.pyannote[2669].end 11373.74721875
transcript.pyannote[2670].speaker SPEAKER_05
transcript.pyannote[2670].start 11374.10159375
transcript.pyannote[2670].end 11379.63659375
transcript.pyannote[2671].speaker SPEAKER_32
transcript.pyannote[2671].start 11380.66596875
transcript.pyannote[2671].end 11381.62784375
transcript.pyannote[2672].speaker SPEAKER_32
transcript.pyannote[2672].start 11382.87659375
transcript.pyannote[2672].end 11385.10409375
transcript.pyannote[2673].speaker SPEAKER_05
transcript.pyannote[2673].start 11385.93096875
transcript.pyannote[2673].end 11387.12909375
transcript.pyannote[2674].speaker SPEAKER_05
transcript.pyannote[2674].start 11387.31471875
transcript.pyannote[2674].end 11390.58846875
transcript.pyannote[2675].speaker SPEAKER_32
transcript.pyannote[2675].start 11387.66909375
transcript.pyannote[2675].end 11387.92221875
transcript.pyannote[2676].speaker SPEAKER_32
transcript.pyannote[2676].start 11389.49159375
transcript.pyannote[2676].end 11390.28471875
transcript.pyannote[2677].speaker SPEAKER_32
transcript.pyannote[2677].start 11390.99346875
transcript.pyannote[2677].end 11405.08409375
transcript.pyannote[2678].speaker SPEAKER_05
transcript.pyannote[2678].start 11403.43034375
transcript.pyannote[2678].end 11405.03346875
transcript.pyannote[2679].speaker SPEAKER_05
transcript.pyannote[2679].start 11405.08409375
transcript.pyannote[2679].end 11405.21909375
transcript.pyannote[2680].speaker SPEAKER_32
transcript.pyannote[2680].start 11405.21909375
transcript.pyannote[2680].end 11405.25284375
transcript.pyannote[2681].speaker SPEAKER_05
transcript.pyannote[2681].start 11405.25284375
transcript.pyannote[2681].end 11405.53971875
transcript.pyannote[2682].speaker SPEAKER_32
transcript.pyannote[2682].start 11405.53971875
transcript.pyannote[2682].end 11405.57346875
transcript.pyannote[2683].speaker SPEAKER_05
transcript.pyannote[2683].start 11405.57346875
transcript.pyannote[2683].end 11405.60721875
transcript.pyannote[2684].speaker SPEAKER_32
transcript.pyannote[2684].start 11405.60721875
transcript.pyannote[2684].end 11405.97846875
transcript.pyannote[2685].speaker SPEAKER_05
transcript.pyannote[2685].start 11405.97846875
transcript.pyannote[2685].end 11407.95284375
transcript.pyannote[2686].speaker SPEAKER_32
transcript.pyannote[2686].start 11407.19346875
transcript.pyannote[2686].end 11408.72909375
transcript.pyannote[2687].speaker SPEAKER_22
transcript.pyannote[2687].start 11410.65284375
transcript.pyannote[2687].end 11410.68659375
transcript.pyannote[2688].speaker SPEAKER_32
transcript.pyannote[2688].start 11410.68659375
transcript.pyannote[2688].end 11411.02409375
transcript.pyannote[2689].speaker SPEAKER_22
transcript.pyannote[2689].start 11411.02409375
transcript.pyannote[2689].end 11411.04096875
transcript.pyannote[2690].speaker SPEAKER_32
transcript.pyannote[2690].start 11411.04096875
transcript.pyannote[2690].end 11411.15909375
transcript.pyannote[2691].speaker SPEAKER_22
transcript.pyannote[2691].start 11411.15909375
transcript.pyannote[2691].end 11418.21284375
transcript.pyannote[2692].speaker SPEAKER_32
transcript.pyannote[2692].start 11416.60971875
transcript.pyannote[2692].end 11417.38596875
transcript.pyannote[2693].speaker SPEAKER_44
transcript.pyannote[2693].start 11418.21284375
transcript.pyannote[2693].end 11419.57971875
transcript.pyannote[2694].speaker SPEAKER_22
transcript.pyannote[2694].start 11418.44909375
transcript.pyannote[2694].end 11419.90034375
transcript.pyannote[2695].speaker SPEAKER_41
transcript.pyannote[2695].start 11419.90034375
transcript.pyannote[2695].end 11419.91721875
transcript.pyannote[2696].speaker SPEAKER_44
transcript.pyannote[2696].start 11419.91721875
transcript.pyannote[2696].end 11419.93409375
transcript.pyannote[2697].speaker SPEAKER_17
transcript.pyannote[2697].start 11430.71721875
transcript.pyannote[2697].end 11432.06721875
transcript.pyannote[2698].speaker SPEAKER_17
transcript.pyannote[2698].start 11432.11784375
transcript.pyannote[2698].end 11432.67471875
transcript.pyannote[2699].speaker SPEAKER_17
transcript.pyannote[2699].start 11432.94471875
transcript.pyannote[2699].end 11434.15971875
transcript.pyannote[2700].speaker SPEAKER_25
transcript.pyannote[2700].start 11439.30659375
transcript.pyannote[2700].end 11441.19659375
transcript.pyannote[2701].speaker SPEAKER_17
transcript.pyannote[2701].start 11441.53409375
transcript.pyannote[2701].end 11442.20909375
transcript.pyannote[2702].speaker SPEAKER_25
transcript.pyannote[2702].start 11448.36846875
transcript.pyannote[2702].end 11448.75659375
transcript.pyannote[2703].speaker SPEAKER_25
transcript.pyannote[2703].start 11448.90846875
transcript.pyannote[2703].end 11459.21909375
transcript.pyannote[2704].speaker SPEAKER_25
transcript.pyannote[2704].start 11459.55659375
transcript.pyannote[2704].end 11459.57346875
transcript.pyannote[2705].speaker SPEAKER_22
transcript.pyannote[2705].start 11459.57346875
transcript.pyannote[2705].end 11461.88534375
transcript.pyannote[2706].speaker SPEAKER_22
transcript.pyannote[2706].start 11462.12159375
transcript.pyannote[2706].end 11468.61846875
transcript.pyannote[2707].speaker SPEAKER_22
transcript.pyannote[2707].start 11469.14159375
transcript.pyannote[2707].end 11472.73596875
transcript.pyannote[2708].speaker SPEAKER_22
transcript.pyannote[2708].start 11473.07346875
transcript.pyannote[2708].end 11473.39409375
transcript.pyannote[2709].speaker SPEAKER_22
transcript.pyannote[2709].start 11473.57971875
transcript.pyannote[2709].end 11473.61346875
transcript.pyannote[2710].speaker SPEAKER_25
transcript.pyannote[2710].start 11473.61346875
transcript.pyannote[2710].end 11528.96346875
transcript.pyannote[2711].speaker SPEAKER_22
transcript.pyannote[2711].start 11474.77784375
transcript.pyannote[2711].end 11475.18284375
transcript.pyannote[2712].speaker SPEAKER_22
transcript.pyannote[2712].start 11528.96346875
transcript.pyannote[2712].end 11533.57034375
transcript.pyannote[2713].speaker SPEAKER_22
transcript.pyannote[2713].start 11534.29596875
transcript.pyannote[2713].end 11535.19034375
transcript.pyannote[2714].speaker SPEAKER_22
transcript.pyannote[2714].start 11535.54471875
transcript.pyannote[2714].end 11537.78909375
transcript.pyannote[2715].speaker SPEAKER_22
transcript.pyannote[2715].start 11538.51471875
transcript.pyannote[2715].end 11539.08846875
transcript.pyannote[2716].speaker SPEAKER_22
transcript.pyannote[2716].start 11539.47659375
transcript.pyannote[2716].end 11541.28221875
transcript.pyannote[2717].speaker SPEAKER_22
transcript.pyannote[2717].start 11542.32846875
transcript.pyannote[2717].end 11544.23534375
transcript.pyannote[2718].speaker SPEAKER_22
transcript.pyannote[2718].start 11544.48846875
transcript.pyannote[2718].end 11546.73284375
transcript.pyannote[2719].speaker SPEAKER_22
transcript.pyannote[2719].start 11547.25596875
transcript.pyannote[2719].end 11552.75721875
transcript.pyannote[2720].speaker SPEAKER_22
transcript.pyannote[2720].start 11553.51659375
transcript.pyannote[2720].end 11556.94221875
transcript.pyannote[2721].speaker SPEAKER_22
transcript.pyannote[2721].start 11557.54971875
transcript.pyannote[2721].end 11560.28346875
transcript.pyannote[2722].speaker SPEAKER_22
transcript.pyannote[2722].start 11561.70096875
transcript.pyannote[2722].end 11566.02096875
transcript.pyannote[2723].speaker SPEAKER_22
transcript.pyannote[2723].start 11566.37534375
transcript.pyannote[2723].end 11567.28659375
transcript.pyannote[2724].speaker SPEAKER_22
transcript.pyannote[2724].start 11567.30346875
transcript.pyannote[2724].end 11570.35784375
transcript.pyannote[2725].speaker SPEAKER_25
transcript.pyannote[2725].start 11570.35784375
transcript.pyannote[2725].end 11613.59159375
transcript.pyannote[2726].speaker SPEAKER_25
transcript.pyannote[2726].start 11614.08096875
transcript.pyannote[2726].end 11626.53471875
transcript.pyannote[2727].speaker SPEAKER_25
transcript.pyannote[2727].start 11627.15909375
transcript.pyannote[2727].end 11627.49659375
transcript.pyannote[2728].speaker SPEAKER_22
transcript.pyannote[2728].start 11627.49659375
transcript.pyannote[2728].end 11627.51346875
transcript.pyannote[2729].speaker SPEAKER_25
transcript.pyannote[2729].start 11628.32346875
transcript.pyannote[2729].end 11628.96471875
transcript.pyannote[2730].speaker SPEAKER_22
transcript.pyannote[2730].start 11628.96471875
transcript.pyannote[2730].end 11634.33096875
transcript.pyannote[2731].speaker SPEAKER_22
transcript.pyannote[2731].start 11635.46159375
transcript.pyannote[2731].end 11640.49034375
transcript.pyannote[2732].speaker SPEAKER_22
transcript.pyannote[2732].start 11640.86159375
transcript.pyannote[2732].end 11650.15971875
transcript.pyannote[2733].speaker SPEAKER_25
transcript.pyannote[2733].start 11650.15971875
transcript.pyannote[2733].end 11650.76721875
transcript.pyannote[2734].speaker SPEAKER_22
transcript.pyannote[2734].start 11650.76721875
transcript.pyannote[2734].end 11653.97346875
transcript.pyannote[2735].speaker SPEAKER_25
transcript.pyannote[2735].start 11650.80096875
transcript.pyannote[2735].end 11651.93159375
transcript.pyannote[2736].speaker SPEAKER_22
transcript.pyannote[2736].start 11654.36159375
transcript.pyannote[2736].end 11675.74221875
transcript.pyannote[2737].speaker SPEAKER_25
transcript.pyannote[2737].start 11674.83096875
transcript.pyannote[2737].end 11679.30284375
transcript.pyannote[2738].speaker SPEAKER_25
transcript.pyannote[2738].start 11679.40409375
transcript.pyannote[2738].end 11688.46596875
transcript.pyannote[2739].speaker SPEAKER_22
transcript.pyannote[2739].start 11688.46596875
transcript.pyannote[2739].end 11688.48284375
transcript.pyannote[2740].speaker SPEAKER_25
transcript.pyannote[2740].start 11688.93846875
transcript.pyannote[2740].end 11689.96784375
transcript.pyannote[2741].speaker SPEAKER_22
transcript.pyannote[2741].start 11689.96784375
transcript.pyannote[2741].end 11692.04346875
transcript.pyannote[2742].speaker SPEAKER_22
transcript.pyannote[2742].start 11692.80284375
transcript.pyannote[2742].end 11702.03346875
transcript.pyannote[2743].speaker SPEAKER_25
transcript.pyannote[2743].start 11702.03346875
transcript.pyannote[2743].end 11717.03534375
transcript.pyannote[2744].speaker SPEAKER_00
transcript.pyannote[2744].start 11707.02846875
transcript.pyannote[2744].end 11707.39971875
transcript.pyannote[2745].speaker SPEAKER_25
transcript.pyannote[2745].start 11717.13659375
transcript.pyannote[2745].end 11717.72721875
transcript.pyannote[2746].speaker SPEAKER_25
transcript.pyannote[2746].start 11718.06471875
transcript.pyannote[2746].end 11725.75971875
transcript.pyannote[2747].speaker SPEAKER_25
transcript.pyannote[2747].start 11725.87784375
transcript.pyannote[2747].end 11731.02471875
transcript.pyannote[2748].speaker SPEAKER_45
transcript.pyannote[2748].start 11730.87284375
transcript.pyannote[2748].end 11731.51409375
transcript.pyannote[2749].speaker SPEAKER_22
transcript.pyannote[2749].start 11731.02471875
transcript.pyannote[2749].end 11731.53096875
transcript.pyannote[2750].speaker SPEAKER_25
transcript.pyannote[2750].start 11731.51409375
transcript.pyannote[2750].end 11731.53096875
transcript.pyannote[2751].speaker SPEAKER_45
transcript.pyannote[2751].start 11731.53096875
transcript.pyannote[2751].end 11731.61534375
transcript.pyannote[2752].speaker SPEAKER_22
transcript.pyannote[2752].start 11731.61534375
transcript.pyannote[2752].end 11732.00346875
transcript.pyannote[2753].speaker SPEAKER_45
transcript.pyannote[2753].start 11733.62346875
transcript.pyannote[2753].end 11737.85909375
transcript.pyannote[2754].speaker SPEAKER_45
transcript.pyannote[2754].start 11738.06159375
transcript.pyannote[2754].end 11741.65596875
transcript.pyannote[2755].speaker SPEAKER_25
transcript.pyannote[2755].start 11741.36909375
transcript.pyannote[2755].end 11741.62221875
transcript.pyannote[2756].speaker SPEAKER_25
transcript.pyannote[2756].start 11741.65596875
transcript.pyannote[2756].end 11741.77409375
transcript.pyannote[2757].speaker SPEAKER_45
transcript.pyannote[2757].start 11741.77409375
transcript.pyannote[2757].end 11741.97659375
transcript.pyannote[2758].speaker SPEAKER_25
transcript.pyannote[2758].start 11741.97659375
transcript.pyannote[2758].end 11743.91721875
transcript.pyannote[2759].speaker SPEAKER_25
transcript.pyannote[2759].start 11744.15346875
transcript.pyannote[2759].end 11744.18721875
transcript.pyannote[2760].speaker SPEAKER_45
transcript.pyannote[2760].start 11744.18721875
transcript.pyannote[2760].end 11749.70534375
transcript.pyannote[2761].speaker SPEAKER_25
transcript.pyannote[2761].start 11744.54159375
transcript.pyannote[2761].end 11745.25034375
transcript.pyannote[2762].speaker SPEAKER_25
transcript.pyannote[2762].start 11749.70534375
transcript.pyannote[2762].end 11770.02284375
transcript.pyannote[2763].speaker SPEAKER_03
transcript.pyannote[2763].start 11770.02284375
transcript.pyannote[2763].end 11779.99596875
transcript.pyannote[2764].speaker SPEAKER_25
transcript.pyannote[2764].start 11779.69221875
transcript.pyannote[2764].end 11801.89971875
transcript.pyannote[2765].speaker SPEAKER_03
transcript.pyannote[2765].start 11782.66221875
transcript.pyannote[2765].end 11782.81409375
transcript.pyannote[2766].speaker SPEAKER_25
transcript.pyannote[2766].start 11802.33846875
transcript.pyannote[2766].end 11820.15846875
transcript.pyannote[2767].speaker SPEAKER_25
transcript.pyannote[2767].start 11820.19221875
transcript.pyannote[2767].end 11825.79471875
transcript.pyannote[2768].speaker SPEAKER_22
transcript.pyannote[2768].start 11826.45284375
transcript.pyannote[2768].end 11826.46971875
transcript.pyannote[2769].speaker SPEAKER_25
transcript.pyannote[2769].start 11826.46971875
transcript.pyannote[2769].end 11826.97596875
transcript.pyannote[2770].speaker SPEAKER_22
transcript.pyannote[2770].start 11826.97596875
transcript.pyannote[2770].end 11827.02659375
transcript.pyannote[2771].speaker SPEAKER_25
transcript.pyannote[2771].start 11827.02659375
transcript.pyannote[2771].end 11888.77221875
transcript.pyannote[2772].speaker SPEAKER_22
transcript.pyannote[2772].start 11884.26659375
transcript.pyannote[2772].end 11884.58721875
transcript.pyannote[2773].speaker SPEAKER_25
transcript.pyannote[2773].start 11889.46409375
transcript.pyannote[2773].end 11894.71221875
transcript.pyannote[2774].speaker SPEAKER_25
transcript.pyannote[2774].start 11895.26909375
transcript.pyannote[2774].end 11934.25034375
transcript.pyannote[2775].speaker SPEAKER_25
transcript.pyannote[2775].start 11934.45284375
transcript.pyannote[2775].end 11939.92034375
transcript.pyannote[2776].speaker SPEAKER_25
transcript.pyannote[2776].start 11940.12284375
transcript.pyannote[2776].end 11969.04659375
transcript.pyannote[2777].speaker SPEAKER_25
transcript.pyannote[2777].start 11969.85659375
transcript.pyannote[2777].end 11971.89846875
transcript.pyannote[2778].speaker SPEAKER_17
transcript.pyannote[2778].start 11977.78784375
transcript.pyannote[2778].end 11978.34471875
transcript.pyannote[2779].speaker SPEAKER_17
transcript.pyannote[2779].start 11978.83409375
transcript.pyannote[2779].end 11980.21784375
transcript.pyannote[2780].speaker SPEAKER_06
transcript.pyannote[2780].start 11989.26284375
transcript.pyannote[2780].end 11991.01784375
transcript.pyannote[2781].speaker SPEAKER_06
transcript.pyannote[2781].start 11991.55784375
transcript.pyannote[2781].end 11993.27909375
transcript.pyannote[2782].speaker SPEAKER_17
transcript.pyannote[2782].start 11993.44784375
transcript.pyannote[2782].end 11994.10596875
transcript.pyannote[2783].speaker SPEAKER_06
transcript.pyannote[2783].start 12001.91909375
transcript.pyannote[2783].end 12002.61096875
transcript.pyannote[2784].speaker SPEAKER_06
transcript.pyannote[2784].start 12003.33659375
transcript.pyannote[2784].end 12005.15909375
transcript.pyannote[2785].speaker SPEAKER_06
transcript.pyannote[2785].start 12005.90159375
transcript.pyannote[2785].end 12008.31471875
transcript.pyannote[2786].speaker SPEAKER_06
transcript.pyannote[2786].start 12008.68596875
transcript.pyannote[2786].end 12009.39471875
transcript.pyannote[2787].speaker SPEAKER_06
transcript.pyannote[2787].start 12009.86721875
transcript.pyannote[2787].end 12010.28909375
transcript.pyannote[2788].speaker SPEAKER_06
transcript.pyannote[2788].start 12010.40721875
transcript.pyannote[2788].end 12013.63034375
transcript.pyannote[2789].speaker SPEAKER_06
transcript.pyannote[2789].start 12014.89596875
transcript.pyannote[2789].end 12017.30909375
transcript.pyannote[2790].speaker SPEAKER_06
transcript.pyannote[2790].start 12017.86596875
transcript.pyannote[2790].end 12019.04721875
transcript.pyannote[2791].speaker SPEAKER_06
transcript.pyannote[2791].start 12019.35096875
transcript.pyannote[2791].end 12020.02596875
transcript.pyannote[2792].speaker SPEAKER_06
transcript.pyannote[2792].start 12020.75159375
transcript.pyannote[2792].end 12021.76409375
transcript.pyannote[2793].speaker SPEAKER_06
transcript.pyannote[2793].start 12022.32096875
transcript.pyannote[2793].end 12029.96534375
transcript.pyannote[2794].speaker SPEAKER_22
transcript.pyannote[2794].start 12029.96534375
transcript.pyannote[2794].end 12031.70346875
transcript.pyannote[2795].speaker SPEAKER_22
transcript.pyannote[2795].start 12032.32784375
transcript.pyannote[2795].end 12035.44971875
transcript.pyannote[2796].speaker SPEAKER_22
transcript.pyannote[2796].start 12035.85471875
transcript.pyannote[2796].end 12038.31846875
transcript.pyannote[2797].speaker SPEAKER_22
transcript.pyannote[2797].start 12039.53346875
transcript.pyannote[2797].end 12040.03971875
transcript.pyannote[2798].speaker SPEAKER_22
transcript.pyannote[2798].start 12040.46159375
transcript.pyannote[2798].end 12043.29659375
transcript.pyannote[2799].speaker SPEAKER_22
transcript.pyannote[2799].start 12043.97159375
transcript.pyannote[2799].end 12048.02159375
transcript.pyannote[2800].speaker SPEAKER_22
transcript.pyannote[2800].start 12049.05096875
transcript.pyannote[2800].end 12050.97471875
transcript.pyannote[2801].speaker SPEAKER_22
transcript.pyannote[2801].start 12051.86909375
transcript.pyannote[2801].end 12053.03346875
transcript.pyannote[2802].speaker SPEAKER_22
transcript.pyannote[2802].start 12053.79284375
transcript.pyannote[2802].end 12054.40034375
transcript.pyannote[2803].speaker SPEAKER_22
transcript.pyannote[2803].start 12054.68721875
transcript.pyannote[2803].end 12056.52659375
transcript.pyannote[2804].speaker SPEAKER_22
transcript.pyannote[2804].start 12056.79659375
transcript.pyannote[2804].end 12060.74534375
transcript.pyannote[2805].speaker SPEAKER_22
transcript.pyannote[2805].start 12061.42034375
transcript.pyannote[2805].end 12064.05284375
transcript.pyannote[2806].speaker SPEAKER_22
transcript.pyannote[2806].start 12064.66034375
transcript.pyannote[2806].end 12065.58846875
transcript.pyannote[2807].speaker SPEAKER_22
transcript.pyannote[2807].start 12065.92596875
transcript.pyannote[2807].end 12067.71471875
transcript.pyannote[2808].speaker SPEAKER_22
transcript.pyannote[2808].start 12068.45721875
transcript.pyannote[2808].end 12068.91284375
transcript.pyannote[2809].speaker SPEAKER_22
transcript.pyannote[2809].start 12069.84096875
transcript.pyannote[2809].end 12071.68034375
transcript.pyannote[2810].speaker SPEAKER_22
transcript.pyannote[2810].start 12072.15284375
transcript.pyannote[2810].end 12072.81096875
transcript.pyannote[2811].speaker SPEAKER_22
transcript.pyannote[2811].start 12073.87409375
transcript.pyannote[2811].end 12074.71784375
transcript.pyannote[2812].speaker SPEAKER_22
transcript.pyannote[2812].start 12075.12284375
transcript.pyannote[2812].end 12076.18596875
transcript.pyannote[2813].speaker SPEAKER_22
transcript.pyannote[2813].start 12076.62471875
transcript.pyannote[2813].end 12078.98721875
transcript.pyannote[2814].speaker SPEAKER_06
transcript.pyannote[2814].start 12078.98721875
transcript.pyannote[2814].end 12079.00409375
transcript.pyannote[2815].speaker SPEAKER_22
transcript.pyannote[2815].start 12080.21909375
transcript.pyannote[2815].end 12080.23596875
transcript.pyannote[2816].speaker SPEAKER_06
transcript.pyannote[2816].start 12080.23596875
transcript.pyannote[2816].end 12081.38346875
transcript.pyannote[2817].speaker SPEAKER_06
transcript.pyannote[2817].start 12083.29034375
transcript.pyannote[2817].end 12084.65721875
transcript.pyannote[2818].speaker SPEAKER_06
transcript.pyannote[2818].start 12085.23096875
transcript.pyannote[2818].end 12085.75409375
transcript.pyannote[2819].speaker SPEAKER_06
transcript.pyannote[2819].start 12085.85534375
transcript.pyannote[2819].end 12087.13784375
transcript.pyannote[2820].speaker SPEAKER_06
transcript.pyannote[2820].start 12087.61034375
transcript.pyannote[2820].end 12092.26784375
transcript.pyannote[2821].speaker SPEAKER_06
transcript.pyannote[2821].start 12092.57159375
transcript.pyannote[2821].end 12095.17034375
transcript.pyannote[2822].speaker SPEAKER_22
transcript.pyannote[2822].start 12094.24221875
transcript.pyannote[2822].end 12098.27534375
transcript.pyannote[2823].speaker SPEAKER_22
transcript.pyannote[2823].start 12098.66346875
transcript.pyannote[2823].end 12104.97471875
transcript.pyannote[2824].speaker SPEAKER_06
transcript.pyannote[2824].start 12104.97471875
transcript.pyannote[2824].end 12105.02534375
transcript.pyannote[2825].speaker SPEAKER_06
transcript.pyannote[2825].start 12105.36284375
transcript.pyannote[2825].end 12105.43034375
transcript.pyannote[2826].speaker SPEAKER_22
transcript.pyannote[2826].start 12105.43034375
transcript.pyannote[2826].end 12109.29471875
transcript.pyannote[2827].speaker SPEAKER_06
transcript.pyannote[2827].start 12105.58221875
transcript.pyannote[2827].end 12106.98284375
transcript.pyannote[2828].speaker SPEAKER_06
transcript.pyannote[2828].start 12107.15159375
transcript.pyannote[2828].end 12107.70846875
transcript.pyannote[2829].speaker SPEAKER_22
transcript.pyannote[2829].start 12109.69971875
transcript.pyannote[2829].end 12111.96096875
transcript.pyannote[2830].speaker SPEAKER_22
transcript.pyannote[2830].start 12112.21409375
transcript.pyannote[2830].end 12114.71159375
transcript.pyannote[2831].speaker SPEAKER_39
transcript.pyannote[2831].start 12113.09159375
transcript.pyannote[2831].end 12113.12534375
transcript.pyannote[2832].speaker SPEAKER_39
transcript.pyannote[2832].start 12113.17596875
transcript.pyannote[2832].end 12113.19284375
transcript.pyannote[2833].speaker SPEAKER_22
transcript.pyannote[2833].start 12115.09971875
transcript.pyannote[2833].end 12115.33596875
transcript.pyannote[2834].speaker SPEAKER_22
transcript.pyannote[2834].start 12115.69034375
transcript.pyannote[2834].end 12117.42846875
transcript.pyannote[2835].speaker SPEAKER_22
transcript.pyannote[2835].start 12117.83346875
transcript.pyannote[2835].end 12121.68096875
transcript.pyannote[2836].speaker SPEAKER_22
transcript.pyannote[2836].start 12122.44034375
transcript.pyannote[2836].end 12123.19971875
transcript.pyannote[2837].speaker SPEAKER_22
transcript.pyannote[2837].start 12124.00971875
transcript.pyannote[2837].end 12125.69721875
transcript.pyannote[2838].speaker SPEAKER_22
transcript.pyannote[2838].start 12125.96721875
transcript.pyannote[2838].end 12126.64221875
transcript.pyannote[2839].speaker SPEAKER_02
transcript.pyannote[2839].start 12129.40971875
transcript.pyannote[2839].end 12131.23221875
transcript.pyannote[2840].speaker SPEAKER_31
transcript.pyannote[2840].start 12131.11409375
transcript.pyannote[2840].end 12134.33721875
transcript.pyannote[2841].speaker SPEAKER_31
transcript.pyannote[2841].start 12134.42159375
transcript.pyannote[2841].end 12137.03721875
transcript.pyannote[2842].speaker SPEAKER_06
transcript.pyannote[2842].start 12137.03721875
transcript.pyannote[2842].end 12139.93971875
transcript.pyannote[2843].speaker SPEAKER_06
transcript.pyannote[2843].start 12140.14221875
transcript.pyannote[2843].end 12140.15909375
transcript.pyannote[2844].speaker SPEAKER_22
transcript.pyannote[2844].start 12140.15909375
transcript.pyannote[2844].end 12140.32784375
transcript.pyannote[2845].speaker SPEAKER_06
transcript.pyannote[2845].start 12140.32784375
transcript.pyannote[2845].end 12140.93534375
transcript.pyannote[2846].speaker SPEAKER_22
transcript.pyannote[2846].start 12140.93534375
transcript.pyannote[2846].end 12145.30596875
transcript.pyannote[2847].speaker SPEAKER_22
transcript.pyannote[2847].start 12145.98096875
transcript.pyannote[2847].end 12148.47846875
transcript.pyannote[2848].speaker SPEAKER_22
transcript.pyannote[2848].start 12148.86659375
transcript.pyannote[2848].end 12152.96721875
transcript.pyannote[2849].speaker SPEAKER_31
transcript.pyannote[2849].start 12152.96721875
transcript.pyannote[2849].end 12153.81096875
transcript.pyannote[2850].speaker SPEAKER_22
transcript.pyannote[2850].start 12153.81096875
transcript.pyannote[2850].end 12153.96284375
transcript.pyannote[2851].speaker SPEAKER_06
transcript.pyannote[2851].start 12153.96284375
transcript.pyannote[2851].end 12153.97971875
transcript.pyannote[2852].speaker SPEAKER_22
transcript.pyannote[2852].start 12153.97971875
transcript.pyannote[2852].end 12154.01346875
transcript.pyannote[2853].speaker SPEAKER_31
transcript.pyannote[2853].start 12153.97971875
transcript.pyannote[2853].end 12163.96971875
transcript.pyannote[2854].speaker SPEAKER_06
transcript.pyannote[2854].start 12154.01346875
transcript.pyannote[2854].end 12155.39721875
transcript.pyannote[2855].speaker SPEAKER_06
transcript.pyannote[2855].start 12163.96971875
transcript.pyannote[2855].end 12166.88909375
transcript.pyannote[2856].speaker SPEAKER_06
transcript.pyannote[2856].start 12167.71596875
transcript.pyannote[2856].end 12170.02784375
transcript.pyannote[2857].speaker SPEAKER_06
transcript.pyannote[2857].start 12170.17971875
transcript.pyannote[2857].end 12171.47909375
transcript.pyannote[2858].speaker SPEAKER_42
transcript.pyannote[2858].start 12173.43659375
transcript.pyannote[2858].end 12173.45346875
transcript.pyannote[2859].speaker SPEAKER_06
transcript.pyannote[2859].start 12173.45346875
transcript.pyannote[2859].end 12173.62221875
transcript.pyannote[2860].speaker SPEAKER_06
transcript.pyannote[2860].start 12175.93409375
transcript.pyannote[2860].end 12178.26284375
transcript.pyannote[2861].speaker SPEAKER_22
transcript.pyannote[2861].start 12178.26284375
transcript.pyannote[2861].end 12178.27971875
transcript.pyannote[2862].speaker SPEAKER_06
transcript.pyannote[2862].start 12178.44846875
transcript.pyannote[2862].end 12179.83221875
transcript.pyannote[2863].speaker SPEAKER_22
transcript.pyannote[2863].start 12179.83221875
transcript.pyannote[2863].end 12179.84909375
transcript.pyannote[2864].speaker SPEAKER_06
transcript.pyannote[2864].start 12180.30471875
transcript.pyannote[2864].end 12180.33846875
transcript.pyannote[2865].speaker SPEAKER_22
transcript.pyannote[2865].start 12180.33846875
transcript.pyannote[2865].end 12182.11034375
transcript.pyannote[2866].speaker SPEAKER_22
transcript.pyannote[2866].start 12182.75159375
transcript.pyannote[2866].end 12186.61596875
transcript.pyannote[2867].speaker SPEAKER_22
transcript.pyannote[2867].start 12187.05471875
transcript.pyannote[2867].end 12194.58096875
transcript.pyannote[2868].speaker SPEAKER_06
transcript.pyannote[2868].start 12189.65346875
transcript.pyannote[2868].end 12190.27784375
transcript.pyannote[2869].speaker SPEAKER_39
transcript.pyannote[2869].start 12192.50534375
transcript.pyannote[2869].end 12194.34471875
transcript.pyannote[2870].speaker SPEAKER_39
transcript.pyannote[2870].start 12194.58096875
transcript.pyannote[2870].end 12194.74971875
transcript.pyannote[2871].speaker SPEAKER_22
transcript.pyannote[2871].start 12194.74971875
transcript.pyannote[2871].end 12203.13659375
transcript.pyannote[2872].speaker SPEAKER_22
transcript.pyannote[2872].start 12203.89596875
transcript.pyannote[2872].end 12208.58721875
transcript.pyannote[2873].speaker SPEAKER_22
transcript.pyannote[2873].start 12209.26221875
transcript.pyannote[2873].end 12209.98784375
transcript.pyannote[2874].speaker SPEAKER_22
transcript.pyannote[2874].start 12210.57846875
transcript.pyannote[2874].end 12218.03721875
transcript.pyannote[2875].speaker SPEAKER_24
transcript.pyannote[2875].start 12213.21096875
transcript.pyannote[2875].end 12213.26159375
transcript.pyannote[2876].speaker SPEAKER_06
transcript.pyannote[2876].start 12213.26159375
transcript.pyannote[2876].end 12215.62409375
transcript.pyannote[2877].speaker SPEAKER_06
transcript.pyannote[2877].start 12215.65784375
transcript.pyannote[2877].end 12215.67471875
transcript.pyannote[2878].speaker SPEAKER_06
transcript.pyannote[2878].start 12215.69159375
transcript.pyannote[2878].end 12215.70846875
transcript.pyannote[2879].speaker SPEAKER_06
transcript.pyannote[2879].start 12218.03721875
transcript.pyannote[2879].end 12235.58721875
transcript.pyannote[2880].speaker SPEAKER_22
transcript.pyannote[2880].start 12219.10034375
transcript.pyannote[2880].end 12219.62346875
transcript.pyannote[2881].speaker SPEAKER_28
transcript.pyannote[2881].start 12229.36034375
transcript.pyannote[2881].end 12229.73159375
transcript.pyannote[2882].speaker SPEAKER_28
transcript.pyannote[2882].start 12229.86659375
transcript.pyannote[2882].end 12229.91721875
transcript.pyannote[2883].speaker SPEAKER_45
transcript.pyannote[2883].start 12229.91721875
transcript.pyannote[2883].end 12231.03096875
transcript.pyannote[2884].speaker SPEAKER_22
transcript.pyannote[2884].start 12231.03096875
transcript.pyannote[2884].end 12231.06471875
transcript.pyannote[2885].speaker SPEAKER_45
transcript.pyannote[2885].start 12231.06471875
transcript.pyannote[2885].end 12231.18284375
transcript.pyannote[2886].speaker SPEAKER_22
transcript.pyannote[2886].start 12231.18284375
transcript.pyannote[2886].end 12231.97596875
transcript.pyannote[2887].speaker SPEAKER_45
transcript.pyannote[2887].start 12231.97596875
transcript.pyannote[2887].end 12232.26284375
transcript.pyannote[2888].speaker SPEAKER_45
transcript.pyannote[2888].start 12232.78596875
transcript.pyannote[2888].end 12233.76471875
transcript.pyannote[2889].speaker SPEAKER_45
transcript.pyannote[2889].start 12234.43971875
transcript.pyannote[2889].end 12234.60846875
transcript.pyannote[2890].speaker SPEAKER_45
transcript.pyannote[2890].start 12234.69284375
transcript.pyannote[2890].end 12234.79409375
transcript.pyannote[2891].speaker SPEAKER_06
transcript.pyannote[2891].start 12235.99221875
transcript.pyannote[2891].end 12236.29596875
transcript.pyannote[2892].speaker SPEAKER_06
transcript.pyannote[2892].start 12237.39284375
transcript.pyannote[2892].end 12238.59096875
transcript.pyannote[2893].speaker SPEAKER_06
transcript.pyannote[2893].start 12239.45159375
transcript.pyannote[2893].end 12242.26971875
transcript.pyannote[2894].speaker SPEAKER_06
transcript.pyannote[2894].start 12242.84346875
transcript.pyannote[2894].end 12243.92346875
transcript.pyannote[2895].speaker SPEAKER_06
transcript.pyannote[2895].start 12245.59409375
transcript.pyannote[2895].end 12248.42909375
transcript.pyannote[2896].speaker SPEAKER_06
transcript.pyannote[2896].start 12248.98596875
transcript.pyannote[2896].end 12250.15034375
transcript.pyannote[2897].speaker SPEAKER_06
transcript.pyannote[2897].start 12250.69034375
transcript.pyannote[2897].end 12251.87159375
transcript.pyannote[2898].speaker SPEAKER_22
transcript.pyannote[2898].start 12251.87159375
transcript.pyannote[2898].end 12251.90534375
transcript.pyannote[2899].speaker SPEAKER_06
transcript.pyannote[2899].start 12252.32721875
transcript.pyannote[2899].end 12252.34409375
transcript.pyannote[2900].speaker SPEAKER_22
transcript.pyannote[2900].start 12252.34409375
transcript.pyannote[2900].end 12252.83346875
transcript.pyannote[2901].speaker SPEAKER_22
transcript.pyannote[2901].start 12253.69409375
transcript.pyannote[2901].end 12254.41971875
transcript.pyannote[2902].speaker SPEAKER_22
transcript.pyannote[2902].start 12255.14534375
transcript.pyannote[2902].end 12258.11534375
transcript.pyannote[2903].speaker SPEAKER_22
transcript.pyannote[2903].start 12258.57096875
transcript.pyannote[2903].end 12260.24159375
transcript.pyannote[2904].speaker SPEAKER_22
transcript.pyannote[2904].start 12260.56221875
transcript.pyannote[2904].end 12261.06846875
transcript.pyannote[2905].speaker SPEAKER_22
transcript.pyannote[2905].start 12261.81096875
transcript.pyannote[2905].end 12268.02096875
transcript.pyannote[2906].speaker SPEAKER_22
transcript.pyannote[2906].start 12268.74659375
transcript.pyannote[2906].end 12275.42909375
transcript.pyannote[2907].speaker SPEAKER_06
transcript.pyannote[2907].start 12272.17221875
transcript.pyannote[2907].end 12273.48846875
transcript.pyannote[2908].speaker SPEAKER_06
transcript.pyannote[2908].start 12275.42909375
transcript.pyannote[2908].end 12275.54721875
transcript.pyannote[2909].speaker SPEAKER_22
transcript.pyannote[2909].start 12275.54721875
transcript.pyannote[2909].end 12275.59784375
transcript.pyannote[2910].speaker SPEAKER_06
transcript.pyannote[2910].start 12275.59784375
transcript.pyannote[2910].end 12275.81721875
transcript.pyannote[2911].speaker SPEAKER_22
transcript.pyannote[2911].start 12275.81721875
transcript.pyannote[2911].end 12275.90159375
transcript.pyannote[2912].speaker SPEAKER_06
transcript.pyannote[2912].start 12275.90159375
transcript.pyannote[2912].end 12275.95221875
transcript.pyannote[2913].speaker SPEAKER_22
transcript.pyannote[2913].start 12275.95221875
transcript.pyannote[2913].end 12276.03659375
transcript.pyannote[2914].speaker SPEAKER_06
transcript.pyannote[2914].start 12276.03659375
transcript.pyannote[2914].end 12276.35721875
transcript.pyannote[2915].speaker SPEAKER_06
transcript.pyannote[2915].start 12277.09971875
transcript.pyannote[2915].end 12282.44909375
transcript.pyannote[2916].speaker SPEAKER_06
transcript.pyannote[2916].start 12282.95534375
transcript.pyannote[2916].end 12285.26721875
transcript.pyannote[2917].speaker SPEAKER_06
transcript.pyannote[2917].start 12285.95909375
transcript.pyannote[2917].end 12292.52346875
transcript.pyannote[2918].speaker SPEAKER_06
transcript.pyannote[2918].start 12292.57409375
transcript.pyannote[2918].end 12302.96909375
transcript.pyannote[2919].speaker SPEAKER_22
transcript.pyannote[2919].start 12302.96909375
transcript.pyannote[2919].end 12303.64409375
transcript.pyannote[2920].speaker SPEAKER_22
transcript.pyannote[2920].start 12304.20096875
transcript.pyannote[2920].end 12309.53346875
transcript.pyannote[2921].speaker SPEAKER_22
transcript.pyannote[2921].start 12310.49534375
transcript.pyannote[2921].end 12311.77784375
transcript.pyannote[2922].speaker SPEAKER_22
transcript.pyannote[2922].start 12312.30096875
transcript.pyannote[2922].end 12326.00346875
transcript.pyannote[2923].speaker SPEAKER_06
transcript.pyannote[2923].start 12324.04596875
transcript.pyannote[2923].end 12326.35784375
transcript.pyannote[2924].speaker SPEAKER_22
transcript.pyannote[2924].start 12326.35784375
transcript.pyannote[2924].end 12326.39159375
transcript.pyannote[2925].speaker SPEAKER_06
transcript.pyannote[2925].start 12326.39159375
transcript.pyannote[2925].end 12326.47596875
transcript.pyannote[2926].speaker SPEAKER_22
transcript.pyannote[2926].start 12326.47596875
transcript.pyannote[2926].end 12326.66159375
transcript.pyannote[2927].speaker SPEAKER_06
transcript.pyannote[2927].start 12326.66159375
transcript.pyannote[2927].end 12326.74596875
transcript.pyannote[2928].speaker SPEAKER_22
transcript.pyannote[2928].start 12326.74596875
transcript.pyannote[2928].end 12327.13409375
transcript.pyannote[2929].speaker SPEAKER_06
transcript.pyannote[2929].start 12327.13409375
transcript.pyannote[2929].end 12327.18471875
transcript.pyannote[2930].speaker SPEAKER_22
transcript.pyannote[2930].start 12327.18471875
transcript.pyannote[2930].end 12327.75846875
transcript.pyannote[2931].speaker SPEAKER_06
transcript.pyannote[2931].start 12327.75846875
transcript.pyannote[2931].end 12327.79221875
transcript.pyannote[2932].speaker SPEAKER_22
transcript.pyannote[2932].start 12327.79221875
transcript.pyannote[2932].end 12327.82596875
transcript.pyannote[2933].speaker SPEAKER_06
transcript.pyannote[2933].start 12327.82596875
transcript.pyannote[2933].end 12328.78784375
transcript.pyannote[2934].speaker SPEAKER_22
transcript.pyannote[2934].start 12328.78784375
transcript.pyannote[2934].end 12328.97346875
transcript.pyannote[2935].speaker SPEAKER_06
transcript.pyannote[2935].start 12328.97346875
transcript.pyannote[2935].end 12329.02409375
transcript.pyannote[2936].speaker SPEAKER_22
transcript.pyannote[2936].start 12329.02409375
transcript.pyannote[2936].end 12329.63159375
transcript.pyannote[2937].speaker SPEAKER_06
transcript.pyannote[2937].start 12329.31096875
transcript.pyannote[2937].end 12332.58471875
transcript.pyannote[2938].speaker SPEAKER_22
transcript.pyannote[2938].start 12329.93534375
transcript.pyannote[2938].end 12335.77409375
transcript.pyannote[2939].speaker SPEAKER_22
transcript.pyannote[2939].start 12336.73596875
transcript.pyannote[2939].end 12353.71221875
transcript.pyannote[2940].speaker SPEAKER_06
transcript.pyannote[2940].start 12337.81596875
transcript.pyannote[2940].end 12339.48659375
transcript.pyannote[2941].speaker SPEAKER_06
transcript.pyannote[2941].start 12345.79784375
transcript.pyannote[2941].end 12347.83971875
transcript.pyannote[2942].speaker SPEAKER_06
transcript.pyannote[2942].start 12350.77596875
transcript.pyannote[2942].end 12353.69534375
transcript.pyannote[2943].speaker SPEAKER_06
transcript.pyannote[2943].start 12353.71221875
transcript.pyannote[2943].end 12353.96534375
transcript.pyannote[2944].speaker SPEAKER_22
transcript.pyannote[2944].start 12353.96534375
transcript.pyannote[2944].end 12354.04971875
transcript.pyannote[2945].speaker SPEAKER_06
transcript.pyannote[2945].start 12354.04971875
transcript.pyannote[2945].end 12355.04534375
transcript.pyannote[2946].speaker SPEAKER_06
transcript.pyannote[2946].start 12355.68659375
transcript.pyannote[2946].end 12356.96909375
transcript.pyannote[2947].speaker SPEAKER_22
transcript.pyannote[2947].start 12356.96909375
transcript.pyannote[2947].end 12369.13596875
transcript.pyannote[2948].speaker SPEAKER_06
transcript.pyannote[2948].start 12357.52596875
transcript.pyannote[2948].end 12357.67784375
transcript.pyannote[2949].speaker SPEAKER_06
transcript.pyannote[2949].start 12358.06596875
transcript.pyannote[2949].end 12359.48346875
transcript.pyannote[2950].speaker SPEAKER_06
transcript.pyannote[2950].start 12368.10659375
transcript.pyannote[2950].end 12374.92409375
transcript.pyannote[2951].speaker SPEAKER_06
transcript.pyannote[2951].start 12376.10534375
transcript.pyannote[2951].end 12378.70409375
transcript.pyannote[2952].speaker SPEAKER_06
transcript.pyannote[2952].start 12380.94846875
transcript.pyannote[2952].end 12382.12971875
transcript.pyannote[2953].speaker SPEAKER_06
transcript.pyannote[2953].start 12382.29846875
transcript.pyannote[2953].end 12383.04096875
transcript.pyannote[2954].speaker SPEAKER_06
transcript.pyannote[2954].start 12383.32784375
transcript.pyannote[2954].end 12383.96909375
transcript.pyannote[2955].speaker SPEAKER_06
transcript.pyannote[2955].start 12384.79596875
transcript.pyannote[2955].end 12387.86721875
transcript.pyannote[2956].speaker SPEAKER_06
transcript.pyannote[2956].start 12389.30159375
transcript.pyannote[2956].end 12391.00596875
transcript.pyannote[2957].speaker SPEAKER_06
transcript.pyannote[2957].start 12391.20846875
transcript.pyannote[2957].end 12392.96346875
transcript.pyannote[2958].speaker SPEAKER_06
transcript.pyannote[2958].start 12393.45284375
transcript.pyannote[2958].end 12396.59159375
transcript.pyannote[2959].speaker SPEAKER_06
transcript.pyannote[2959].start 12396.67596875
transcript.pyannote[2959].end 12399.20721875
transcript.pyannote[2960].speaker SPEAKER_06
transcript.pyannote[2960].start 12399.56159375
transcript.pyannote[2960].end 12399.69659375
transcript.pyannote[2961].speaker SPEAKER_06
transcript.pyannote[2961].start 12399.98346875
transcript.pyannote[2961].end 12400.92846875
transcript.pyannote[2962].speaker SPEAKER_06
transcript.pyannote[2962].start 12401.13096875
transcript.pyannote[2962].end 12403.03784375
transcript.pyannote[2963].speaker SPEAKER_06
transcript.pyannote[2963].start 12403.24034375
transcript.pyannote[2963].end 12407.32409375
transcript.pyannote[2964].speaker SPEAKER_06
transcript.pyannote[2964].start 12407.49284375
transcript.pyannote[2964].end 12409.65284375
transcript.pyannote[2965].speaker SPEAKER_06
transcript.pyannote[2965].start 12409.85534375
transcript.pyannote[2965].end 12413.50034375
transcript.pyannote[2966].speaker SPEAKER_06
transcript.pyannote[2966].start 12413.97284375
transcript.pyannote[2966].end 12416.40284375
transcript.pyannote[2967].speaker SPEAKER_06
transcript.pyannote[2967].start 12417.41534375
transcript.pyannote[2967].end 12418.02284375
transcript.pyannote[2968].speaker SPEAKER_06
transcript.pyannote[2968].start 12418.61346875
transcript.pyannote[2968].end 12419.76096875
transcript.pyannote[2969].speaker SPEAKER_06
transcript.pyannote[2969].start 12420.36846875
transcript.pyannote[2969].end 12421.61721875
transcript.pyannote[2970].speaker SPEAKER_06
transcript.pyannote[2970].start 12422.00534375
transcript.pyannote[2970].end 12422.64659375
transcript.pyannote[2971].speaker SPEAKER_06
transcript.pyannote[2971].start 12422.86596875
transcript.pyannote[2971].end 12425.00909375
transcript.pyannote[2972].speaker SPEAKER_06
transcript.pyannote[2972].start 12425.34659375
transcript.pyannote[2972].end 12425.68409375
transcript.pyannote[2973].speaker SPEAKER_06
transcript.pyannote[2973].start 12426.32534375
transcript.pyannote[2973].end 12427.20284375
transcript.pyannote[2974].speaker SPEAKER_06
transcript.pyannote[2974].start 12427.48971875
transcript.pyannote[2974].end 12428.38409375
transcript.pyannote[2975].speaker SPEAKER_06
transcript.pyannote[2975].start 12429.34596875
transcript.pyannote[2975].end 12431.69159375
transcript.pyannote[2976].speaker SPEAKER_06
transcript.pyannote[2976].start 12432.02909375
transcript.pyannote[2976].end 12433.00784375
transcript.pyannote[2977].speaker SPEAKER_06
transcript.pyannote[2977].start 12433.41284375
transcript.pyannote[2977].end 12434.52659375
transcript.pyannote[2978].speaker SPEAKER_06
transcript.pyannote[2978].start 12434.91471875
transcript.pyannote[2978].end 12436.78784375
transcript.pyannote[2979].speaker SPEAKER_06
transcript.pyannote[2979].start 12436.83846875
transcript.pyannote[2979].end 12438.76221875
transcript.pyannote[2980].speaker SPEAKER_06
transcript.pyannote[2980].start 12439.53846875
transcript.pyannote[2980].end 12444.01034375
transcript.pyannote[2981].speaker SPEAKER_03
transcript.pyannote[2981].start 12444.12846875
transcript.pyannote[2981].end 12452.24534375
transcript.pyannote[2982].speaker SPEAKER_06
transcript.pyannote[2982].start 12451.30034375
transcript.pyannote[2982].end 12451.43534375
transcript.pyannote[2983].speaker SPEAKER_06
transcript.pyannote[2983].start 12451.80659375
transcript.pyannote[2983].end 12452.00909375
transcript.pyannote[2984].speaker SPEAKER_06
transcript.pyannote[2984].start 12452.24534375
transcript.pyannote[2984].end 12452.41409375
transcript.pyannote[2985].speaker SPEAKER_03
transcript.pyannote[2985].start 12452.41409375
transcript.pyannote[2985].end 12452.43096875
transcript.pyannote[2986].speaker SPEAKER_06
transcript.pyannote[2986].start 12452.43096875
transcript.pyannote[2986].end 12452.48159375
transcript.pyannote[2987].speaker SPEAKER_03
transcript.pyannote[2987].start 12452.48159375
transcript.pyannote[2987].end 12452.53221875
transcript.pyannote[2988].speaker SPEAKER_06
transcript.pyannote[2988].start 12452.53221875
transcript.pyannote[2988].end 12452.58284375
transcript.pyannote[2989].speaker SPEAKER_03
transcript.pyannote[2989].start 12452.58284375
transcript.pyannote[2989].end 12457.51034375
transcript.pyannote[2990].speaker SPEAKER_06
transcript.pyannote[2990].start 12456.02534375
transcript.pyannote[2990].end 12457.45971875
transcript.pyannote[2991].speaker SPEAKER_03
transcript.pyannote[2991].start 12457.84784375
transcript.pyannote[2991].end 12461.00346875
transcript.pyannote[2992].speaker SPEAKER_03
transcript.pyannote[2992].start 12461.54346875
transcript.pyannote[2992].end 12464.17596875
transcript.pyannote[2993].speaker SPEAKER_06
transcript.pyannote[2993].start 12461.98221875
transcript.pyannote[2993].end 12463.90596875
transcript.pyannote[2994].speaker SPEAKER_03
transcript.pyannote[2994].start 12464.20971875
transcript.pyannote[2994].end 12467.61846875
transcript.pyannote[2995].speaker SPEAKER_03
transcript.pyannote[2995].start 12468.05721875
transcript.pyannote[2995].end 12468.93471875
transcript.pyannote[2996].speaker SPEAKER_03
transcript.pyannote[2996].start 12469.20471875
transcript.pyannote[2996].end 12482.48534375
transcript.pyannote[2997].speaker SPEAKER_06
transcript.pyannote[2997].start 12482.72159375
transcript.pyannote[2997].end 12485.23596875
transcript.pyannote[2998].speaker SPEAKER_06
transcript.pyannote[2998].start 12485.65784375
transcript.pyannote[2998].end 12487.19346875
transcript.pyannote[2999].speaker SPEAKER_06
transcript.pyannote[2999].start 12487.64909375
transcript.pyannote[2999].end 12488.25659375
transcript.pyannote[3000].speaker SPEAKER_06
transcript.pyannote[3000].start 12488.76284375
transcript.pyannote[3000].end 12490.06221875
transcript.pyannote[3001].speaker SPEAKER_06
transcript.pyannote[3001].start 12490.46721875
transcript.pyannote[3001].end 12491.93534375
transcript.pyannote[3002].speaker SPEAKER_22
transcript.pyannote[3002].start 12491.93534375
transcript.pyannote[3002].end 12491.95221875
transcript.pyannote[3003].speaker SPEAKER_22
transcript.pyannote[3003].start 12493.57221875
transcript.pyannote[3003].end 12498.43221875
transcript.pyannote[3004].speaker SPEAKER_22
transcript.pyannote[3004].start 12498.97221875
transcript.pyannote[3004].end 12512.47221875
transcript.pyannote[3005].speaker SPEAKER_06
transcript.pyannote[3005].start 12500.45721875
transcript.pyannote[3005].end 12504.10221875
transcript.pyannote[3006].speaker SPEAKER_06
transcript.pyannote[3006].start 12505.97534375
transcript.pyannote[3006].end 12506.75159375
transcript.pyannote[3007].speaker SPEAKER_22
transcript.pyannote[3007].start 12512.82659375
transcript.pyannote[3007].end 12515.03721875
transcript.pyannote[3008].speaker SPEAKER_06
transcript.pyannote[3008].start 12515.03721875
transcript.pyannote[3008].end 12517.55159375
transcript.pyannote[3009].speaker SPEAKER_06
transcript.pyannote[3009].start 12517.63596875
transcript.pyannote[3009].end 12518.31096875
transcript.pyannote[3010].speaker SPEAKER_06
transcript.pyannote[3010].start 12518.49659375
transcript.pyannote[3010].end 12519.79596875
transcript.pyannote[3011].speaker SPEAKER_06
transcript.pyannote[3011].start 12520.18409375
transcript.pyannote[3011].end 12520.53846875
transcript.pyannote[3012].speaker SPEAKER_06
transcript.pyannote[3012].start 12520.70721875
transcript.pyannote[3012].end 12521.41596875
transcript.pyannote[3013].speaker SPEAKER_06
transcript.pyannote[3013].start 12521.44971875
transcript.pyannote[3013].end 12522.32721875
transcript.pyannote[3014].speaker SPEAKER_17
transcript.pyannote[3014].start 12527.89596875
transcript.pyannote[3014].end 12531.15284375
transcript.pyannote[3015].speaker SPEAKER_17
transcript.pyannote[3015].start 12531.67596875
transcript.pyannote[3015].end 12534.07221875
transcript.pyannote[3016].speaker SPEAKER_17
transcript.pyannote[3016].start 12543.64034375
transcript.pyannote[3016].end 12546.30659375
transcript.pyannote[3017].speaker SPEAKER_17
transcript.pyannote[3017].start 12546.50909375
transcript.pyannote[3017].end 12547.23471875
transcript.pyannote[3018].speaker SPEAKER_17
transcript.pyannote[3018].start 12554.38971875
transcript.pyannote[3018].end 12554.40659375
transcript.pyannote[3019].speaker SPEAKER_39
transcript.pyannote[3019].start 12554.40659375
transcript.pyannote[3019].end 12554.82846875
transcript.pyannote[3020].speaker SPEAKER_14
transcript.pyannote[3020].start 12554.96346875
transcript.pyannote[3020].end 12555.90846875
transcript.pyannote[3021].speaker SPEAKER_14
transcript.pyannote[3021].start 12555.97596875
transcript.pyannote[3021].end 12580.54596875
transcript.pyannote[3022].speaker SPEAKER_14
transcript.pyannote[3022].start 12581.62596875
transcript.pyannote[3022].end 12582.03096875
transcript.pyannote[3023].speaker SPEAKER_22
transcript.pyannote[3023].start 12582.03096875
transcript.pyannote[3023].end 12582.75659375
transcript.pyannote[3024].speaker SPEAKER_22
transcript.pyannote[3024].start 12583.33034375
transcript.pyannote[3024].end 12583.90409375
transcript.pyannote[3025].speaker SPEAKER_14
transcript.pyannote[3025].start 12583.41471875
transcript.pyannote[3025].end 12584.89971875
transcript.pyannote[3026].speaker SPEAKER_22
transcript.pyannote[3026].start 12584.89971875
transcript.pyannote[3026].end 12586.06409375
transcript.pyannote[3027].speaker SPEAKER_22
transcript.pyannote[3027].start 12586.40159375
transcript.pyannote[3027].end 12592.18971875
transcript.pyannote[3028].speaker SPEAKER_22
transcript.pyannote[3028].start 12592.35846875
transcript.pyannote[3028].end 12595.49721875
transcript.pyannote[3029].speaker SPEAKER_22
transcript.pyannote[3029].start 12596.37471875
transcript.pyannote[3029].end 12600.34034375
transcript.pyannote[3030].speaker SPEAKER_14
transcript.pyannote[3030].start 12600.49221875
transcript.pyannote[3030].end 12601.09971875
transcript.pyannote[3031].speaker SPEAKER_14
transcript.pyannote[3031].start 12601.20096875
transcript.pyannote[3031].end 12644.24909375
transcript.pyannote[3032].speaker SPEAKER_14
transcript.pyannote[3032].start 12644.95784375
transcript.pyannote[3032].end 12687.49971875
transcript.pyannote[3033].speaker SPEAKER_14
transcript.pyannote[3033].start 12688.39409375
transcript.pyannote[3033].end 12688.81596875
transcript.pyannote[3034].speaker SPEAKER_14
transcript.pyannote[3034].start 12689.38971875
transcript.pyannote[3034].end 12699.12659375
transcript.pyannote[3035].speaker SPEAKER_22
transcript.pyannote[3035].start 12698.63721875
transcript.pyannote[3035].end 12701.80971875
transcript.pyannote[3036].speaker SPEAKER_14
transcript.pyannote[3036].start 12701.86034375
transcript.pyannote[3036].end 12704.93159375
transcript.pyannote[3037].speaker SPEAKER_22
transcript.pyannote[3037].start 12704.17221875
transcript.pyannote[3037].end 12704.83034375
transcript.pyannote[3038].speaker SPEAKER_22
transcript.pyannote[3038].start 12704.93159375
transcript.pyannote[3038].end 12705.13409375
transcript.pyannote[3039].speaker SPEAKER_14
transcript.pyannote[3039].start 12705.13409375
transcript.pyannote[3039].end 12810.06284375
transcript.pyannote[3040].speaker SPEAKER_22
transcript.pyannote[3040].start 12708.89721875
transcript.pyannote[3040].end 12708.91409375
transcript.pyannote[3041].speaker SPEAKER_08
transcript.pyannote[3041].start 12708.91409375
transcript.pyannote[3041].end 12709.15034375
transcript.pyannote[3042].speaker SPEAKER_22
transcript.pyannote[3042].start 12810.28221875
transcript.pyannote[3042].end 12817.85909375
transcript.pyannote[3043].speaker SPEAKER_14
transcript.pyannote[3043].start 12816.47534375
transcript.pyannote[3043].end 12816.62721875
transcript.pyannote[3044].speaker SPEAKER_39
transcript.pyannote[3044].start 12816.62721875
transcript.pyannote[3044].end 12817.03221875
transcript.pyannote[3045].speaker SPEAKER_14
transcript.pyannote[3045].start 12817.03221875
transcript.pyannote[3045].end 12817.97721875
transcript.pyannote[3046].speaker SPEAKER_39
transcript.pyannote[3046].start 12817.97721875
transcript.pyannote[3046].end 12818.16284375
transcript.pyannote[3047].speaker SPEAKER_14
transcript.pyannote[3047].start 12818.16284375
transcript.pyannote[3047].end 12818.33159375
transcript.pyannote[3048].speaker SPEAKER_22
transcript.pyannote[3048].start 12818.31471875
transcript.pyannote[3048].end 12823.86659375
transcript.pyannote[3049].speaker SPEAKER_39
transcript.pyannote[3049].start 12818.33159375
transcript.pyannote[3049].end 12818.34846875
transcript.pyannote[3050].speaker SPEAKER_14
transcript.pyannote[3050].start 12818.34846875
transcript.pyannote[3050].end 12818.56784375
transcript.pyannote[3051].speaker SPEAKER_14
transcript.pyannote[3051].start 12822.24659375
transcript.pyannote[3051].end 12832.38846875
transcript.pyannote[3052].speaker SPEAKER_22
transcript.pyannote[3052].start 12828.25409375
transcript.pyannote[3052].end 12828.27096875
transcript.pyannote[3053].speaker SPEAKER_03
transcript.pyannote[3053].start 12828.27096875
transcript.pyannote[3053].end 12828.97971875
transcript.pyannote[3054].speaker SPEAKER_03
transcript.pyannote[3054].start 12831.66284375
transcript.pyannote[3054].end 12839.00346875
transcript.pyannote[3055].speaker SPEAKER_14
transcript.pyannote[3055].start 12837.75471875
transcript.pyannote[3055].end 12841.01159375
transcript.pyannote[3056].speaker SPEAKER_03
transcript.pyannote[3056].start 12840.31971875
transcript.pyannote[3056].end 12850.54596875
transcript.pyannote[3057].speaker SPEAKER_14
transcript.pyannote[3057].start 12841.66971875
transcript.pyannote[3057].end 12844.63971875
transcript.pyannote[3058].speaker SPEAKER_14
transcript.pyannote[3058].start 12850.15784375
transcript.pyannote[3058].end 12854.96721875
transcript.pyannote[3059].speaker SPEAKER_06
transcript.pyannote[3059].start 12853.31346875
transcript.pyannote[3059].end 12853.58346875
transcript.pyannote[3060].speaker SPEAKER_03
transcript.pyannote[3060].start 12853.58346875
transcript.pyannote[3060].end 12853.71846875
transcript.pyannote[3061].speaker SPEAKER_06
transcript.pyannote[3061].start 12853.71846875
transcript.pyannote[3061].end 12853.75221875
transcript.pyannote[3062].speaker SPEAKER_03
transcript.pyannote[3062].start 12853.83659375
transcript.pyannote[3062].end 12865.14284375
transcript.pyannote[3063].speaker SPEAKER_14
transcript.pyannote[3063].start 12865.05846875
transcript.pyannote[3063].end 12897.40784375
transcript.pyannote[3064].speaker SPEAKER_03
transcript.pyannote[3064].start 12865.76721875
transcript.pyannote[3064].end 12866.18909375
transcript.pyannote[3065].speaker SPEAKER_22
transcript.pyannote[3065].start 12896.14221875
transcript.pyannote[3065].end 12902.13284375
transcript.pyannote[3066].speaker SPEAKER_14
transcript.pyannote[3066].start 12902.68971875
transcript.pyannote[3066].end 12909.18659375
transcript.pyannote[3067].speaker SPEAKER_42
transcript.pyannote[3067].start 12908.68034375
transcript.pyannote[3067].end 12909.72659375
transcript.pyannote[3068].speaker SPEAKER_14
transcript.pyannote[3068].start 12909.72659375
transcript.pyannote[3068].end 12918.53534375
transcript.pyannote[3069].speaker SPEAKER_14
transcript.pyannote[3069].start 12919.02471875
transcript.pyannote[3069].end 12935.76471875
transcript.pyannote[3070].speaker SPEAKER_22
transcript.pyannote[3070].start 12935.41034375
transcript.pyannote[3070].end 12936.96284375
transcript.pyannote[3071].speaker SPEAKER_14
transcript.pyannote[3071].start 12936.74346875
transcript.pyannote[3071].end 12937.50284375
transcript.pyannote[3072].speaker SPEAKER_32
transcript.pyannote[3072].start 12946.41284375
transcript.pyannote[3072].end 12948.89346875
transcript.pyannote[3073].speaker SPEAKER_32
transcript.pyannote[3073].start 12949.56846875
transcript.pyannote[3073].end 12953.70284375
transcript.pyannote[3074].speaker SPEAKER_32
transcript.pyannote[3074].start 12954.58034375
transcript.pyannote[3074].end 12956.01471875
transcript.pyannote[3075].speaker SPEAKER_32
transcript.pyannote[3075].start 12956.41971875
transcript.pyannote[3075].end 12958.93409375
transcript.pyannote[3076].speaker SPEAKER_17
transcript.pyannote[3076].start 12964.06409375
transcript.pyannote[3076].end 12966.02159375
transcript.pyannote[3077].speaker SPEAKER_32
transcript.pyannote[3077].start 12966.47721875
transcript.pyannote[3077].end 12967.06784375
transcript.pyannote[3078].speaker SPEAKER_32
transcript.pyannote[3078].start 12967.10159375
transcript.pyannote[3078].end 12968.11409375
transcript.pyannote[3079].speaker SPEAKER_32
transcript.pyannote[3079].start 12973.85159375
transcript.pyannote[3079].end 12973.86846875
transcript.pyannote[3080].speaker SPEAKER_44
transcript.pyannote[3080].start 12973.86846875
transcript.pyannote[3080].end 12974.29034375
transcript.pyannote[3081].speaker SPEAKER_17
transcript.pyannote[3081].start 12974.54346875
transcript.pyannote[3081].end 12974.93159375
transcript.pyannote[3082].speaker SPEAKER_17
transcript.pyannote[3082].start 12975.40409375
transcript.pyannote[3082].end 13000.07534375
transcript.pyannote[3083].speaker SPEAKER_17
transcript.pyannote[3083].start 13000.32846875
transcript.pyannote[3083].end 13001.27346875
transcript.pyannote[3084].speaker SPEAKER_17
transcript.pyannote[3084].start 13001.86409375
transcript.pyannote[3084].end 13002.82596875
transcript.pyannote[3085].speaker SPEAKER_17
transcript.pyannote[3085].start 13002.97784375
transcript.pyannote[3085].end 13005.64409375
transcript.pyannote[3086].speaker SPEAKER_22
transcript.pyannote[3086].start 13006.74096875
transcript.pyannote[3086].end 13008.44534375
transcript.pyannote[3087].speaker SPEAKER_17
transcript.pyannote[3087].start 13008.69846875
transcript.pyannote[3087].end 13010.70659375
transcript.pyannote[3088].speaker SPEAKER_17
transcript.pyannote[3088].start 13011.34784375
transcript.pyannote[3088].end 13012.59659375
transcript.pyannote[3089].speaker SPEAKER_22
transcript.pyannote[3089].start 13014.79034375
transcript.pyannote[3089].end 13017.99659375
transcript.pyannote[3090].speaker SPEAKER_17
transcript.pyannote[3090].start 13019.11034375
transcript.pyannote[3090].end 13021.16909375
transcript.pyannote[3091].speaker SPEAKER_17
transcript.pyannote[3091].start 13022.11409375
transcript.pyannote[3091].end 13028.86409375
transcript.pyannote[3092].speaker SPEAKER_17
transcript.pyannote[3092].start 13029.28596875
transcript.pyannote[3092].end 13030.48409375
transcript.pyannote[3093].speaker SPEAKER_21
transcript.pyannote[3093].start 13029.57284375
transcript.pyannote[3093].end 13029.97784375
transcript.pyannote[3094].speaker SPEAKER_21
transcript.pyannote[3094].start 13030.48409375
transcript.pyannote[3094].end 13030.95659375
transcript.pyannote[3095].speaker SPEAKER_17
transcript.pyannote[3095].start 13031.09159375
transcript.pyannote[3095].end 13050.17721875
transcript.pyannote[3096].speaker SPEAKER_17
transcript.pyannote[3096].start 13050.98721875
transcript.pyannote[3096].end 13051.34159375
transcript.pyannote[3097].speaker SPEAKER_22
transcript.pyannote[3097].start 13051.34159375
transcript.pyannote[3097].end 13051.35846875
transcript.pyannote[3098].speaker SPEAKER_22
transcript.pyannote[3098].start 13052.38784375
transcript.pyannote[3098].end 13053.48471875
transcript.pyannote[3099].speaker SPEAKER_22
transcript.pyannote[3099].start 13054.37909375
transcript.pyannote[3099].end 13054.93596875
transcript.pyannote[3100].speaker SPEAKER_22
transcript.pyannote[3100].start 13055.17221875
transcript.pyannote[3100].end 13058.02409375
transcript.pyannote[3101].speaker SPEAKER_17
transcript.pyannote[3101].start 13058.02409375
transcript.pyannote[3101].end 13072.97534375
transcript.pyannote[3102].speaker SPEAKER_22
transcript.pyannote[3102].start 13075.01721875
transcript.pyannote[3102].end 13078.05471875
transcript.pyannote[3103].speaker SPEAKER_22
transcript.pyannote[3103].start 13078.79721875
transcript.pyannote[3103].end 13078.81409375
transcript.pyannote[3104].speaker SPEAKER_17
transcript.pyannote[3104].start 13078.81409375
transcript.pyannote[3104].end 13079.53971875
transcript.pyannote[3105].speaker SPEAKER_17
transcript.pyannote[3105].start 13079.72534375
transcript.pyannote[3105].end 13086.49221875
transcript.pyannote[3106].speaker SPEAKER_17
transcript.pyannote[3106].start 13087.01534375
transcript.pyannote[3106].end 13092.04409375
transcript.pyannote[3107].speaker SPEAKER_22
transcript.pyannote[3107].start 13093.64721875
transcript.pyannote[3107].end 13095.68909375
transcript.pyannote[3108].speaker SPEAKER_22
transcript.pyannote[3108].start 13096.07721875
transcript.pyannote[3108].end 13098.91221875
transcript.pyannote[3109].speaker SPEAKER_22
transcript.pyannote[3109].start 13100.04284375
transcript.pyannote[3109].end 13102.06784375
transcript.pyannote[3110].speaker SPEAKER_17
transcript.pyannote[3110].start 13102.06784375
transcript.pyannote[3110].end 13107.33284375
transcript.pyannote[3111].speaker SPEAKER_17
transcript.pyannote[3111].start 13108.58159375
transcript.pyannote[3111].end 13110.53909375
transcript.pyannote[3112].speaker SPEAKER_22
transcript.pyannote[3112].start 13110.53909375
transcript.pyannote[3112].end 13116.19221875
transcript.pyannote[3113].speaker SPEAKER_17
transcript.pyannote[3113].start 13110.64034375
transcript.pyannote[3113].end 13112.37846875
transcript.pyannote[3114].speaker SPEAKER_17
transcript.pyannote[3114].start 13112.98596875
transcript.pyannote[3114].end 13113.69471875
transcript.pyannote[3115].speaker SPEAKER_46
transcript.pyannote[3115].start 13119.02721875
transcript.pyannote[3115].end 13120.47846875
transcript.pyannote[3116].speaker SPEAKER_46
transcript.pyannote[3116].start 13120.63034375
transcript.pyannote[3116].end 13125.62534375
transcript.pyannote[3117].speaker SPEAKER_46
transcript.pyannote[3117].start 13125.82784375
transcript.pyannote[3117].end 13131.73409375
transcript.pyannote[3118].speaker SPEAKER_17
transcript.pyannote[3118].start 13131.46409375
transcript.pyannote[3118].end 13132.18971875
transcript.pyannote[3119].speaker SPEAKER_46
transcript.pyannote[3119].start 13132.18971875
transcript.pyannote[3119].end 13132.91534375
transcript.pyannote[3120].speaker SPEAKER_17
transcript.pyannote[3120].start 13132.91534375
transcript.pyannote[3120].end 13133.03346875
transcript.pyannote[3121].speaker SPEAKER_46
transcript.pyannote[3121].start 13133.03346875
transcript.pyannote[3121].end 13136.05409375
transcript.pyannote[3122].speaker SPEAKER_17
transcript.pyannote[3122].start 13135.44659375
transcript.pyannote[3122].end 13148.59221875
transcript.pyannote[3123].speaker SPEAKER_46
transcript.pyannote[3123].start 13138.55159375
transcript.pyannote[3123].end 13138.75409375
transcript.pyannote[3124].speaker SPEAKER_39
transcript.pyannote[3124].start 13147.95096875
transcript.pyannote[3124].end 13148.74409375
transcript.pyannote[3125].speaker SPEAKER_17
transcript.pyannote[3125].start 13148.69346875
transcript.pyannote[3125].end 13164.08346875
transcript.pyannote[3126].speaker SPEAKER_39
transcript.pyannote[3126].start 13149.45284375
transcript.pyannote[3126].end 13149.84096875
transcript.pyannote[3127].speaker SPEAKER_17
transcript.pyannote[3127].start 13164.43784375
transcript.pyannote[3127].end 13172.36909375
transcript.pyannote[3128].speaker SPEAKER_17
transcript.pyannote[3128].start 13173.16221875
transcript.pyannote[3128].end 13173.58409375
transcript.pyannote[3129].speaker SPEAKER_17
transcript.pyannote[3129].start 13175.52471875
transcript.pyannote[3129].end 13177.38096875
transcript.pyannote[3130].speaker SPEAKER_17
transcript.pyannote[3130].start 13178.73096875
transcript.pyannote[3130].end 13181.78534375
transcript.pyannote[3131].speaker SPEAKER_17
transcript.pyannote[3131].start 13181.85284375
transcript.pyannote[3131].end 13184.31659375
transcript.pyannote[3132].speaker SPEAKER_17
transcript.pyannote[3132].start 13185.68346875
transcript.pyannote[3132].end 13186.00409375
transcript.pyannote[3133].speaker SPEAKER_22
transcript.pyannote[3133].start 13186.00409375
transcript.pyannote[3133].end 13186.34159375
transcript.pyannote[3134].speaker SPEAKER_17
transcript.pyannote[3134].start 13187.45534375
transcript.pyannote[3134].end 13188.97409375
transcript.pyannote[3135].speaker SPEAKER_22
transcript.pyannote[3135].start 13188.97409375
transcript.pyannote[3135].end 13189.27784375
transcript.pyannote[3136].speaker SPEAKER_22
transcript.pyannote[3136].start 13190.54346875
transcript.pyannote[3136].end 13192.55159375
transcript.pyannote[3137].speaker SPEAKER_20
transcript.pyannote[3137].start 13192.55159375
transcript.pyannote[3137].end 13192.56846875
transcript.pyannote[3138].speaker SPEAKER_22
transcript.pyannote[3138].start 13193.44596875
transcript.pyannote[3138].end 13194.27284375
transcript.pyannote[3139].speaker SPEAKER_20
transcript.pyannote[3139].start 13194.27284375
transcript.pyannote[3139].end 13194.44159375
transcript.pyannote[3140].speaker SPEAKER_22
transcript.pyannote[3140].start 13194.44159375
transcript.pyannote[3140].end 13194.52596875
transcript.pyannote[3141].speaker SPEAKER_20
transcript.pyannote[3141].start 13194.52596875
transcript.pyannote[3141].end 13194.55971875
transcript.pyannote[3142].speaker SPEAKER_39
transcript.pyannote[3142].start 13194.69471875
transcript.pyannote[3142].end 13194.94784375
transcript.pyannote[3143].speaker SPEAKER_20
transcript.pyannote[3143].start 13195.42034375
transcript.pyannote[3143].end 13196.24721875
transcript.pyannote[3144].speaker SPEAKER_20
transcript.pyannote[3144].start 13196.43284375
transcript.pyannote[3144].end 13202.49096875
transcript.pyannote[3145].speaker SPEAKER_17
transcript.pyannote[3145].start 13202.64284375
transcript.pyannote[3145].end 13202.65971875
transcript.pyannote[3146].speaker SPEAKER_20
transcript.pyannote[3146].start 13202.65971875
transcript.pyannote[3146].end 13203.03096875
transcript.pyannote[3147].speaker SPEAKER_17
transcript.pyannote[3147].start 13203.03096875
transcript.pyannote[3147].end 13203.97596875
transcript.pyannote[3148].speaker SPEAKER_20
transcript.pyannote[3148].start 13203.97596875
transcript.pyannote[3148].end 13207.11471875
transcript.pyannote[3149].speaker SPEAKER_17
transcript.pyannote[3149].start 13206.03471875
transcript.pyannote[3149].end 13208.70096875
transcript.pyannote[3150].speaker SPEAKER_20
transcript.pyannote[3150].start 13207.97534375
transcript.pyannote[3150].end 13208.68409375
transcript.pyannote[3151].speaker SPEAKER_20
transcript.pyannote[3151].start 13208.70096875
transcript.pyannote[3151].end 13208.75159375
transcript.pyannote[3152].speaker SPEAKER_17
transcript.pyannote[3152].start 13209.12284375
transcript.pyannote[3152].end 13236.29159375
transcript.pyannote[3153].speaker SPEAKER_17
transcript.pyannote[3153].start 13236.73034375
transcript.pyannote[3153].end 13238.75534375
transcript.pyannote[3154].speaker SPEAKER_22
transcript.pyannote[3154].start 13239.64971875
transcript.pyannote[3154].end 13246.21409375
transcript.pyannote[3155].speaker SPEAKER_22
transcript.pyannote[3155].start 13246.23096875
transcript.pyannote[3155].end 13247.74971875
transcript.pyannote[3156].speaker SPEAKER_22
transcript.pyannote[3156].start 13247.93534375
transcript.pyannote[3156].end 13250.02784375
transcript.pyannote[3157].speaker SPEAKER_17
transcript.pyannote[3157].start 13249.01534375
transcript.pyannote[3157].end 13249.18409375
transcript.pyannote[3158].speaker SPEAKER_06
transcript.pyannote[3158].start 13249.18409375
transcript.pyannote[3158].end 13249.40346875
transcript.pyannote[3159].speaker SPEAKER_17
transcript.pyannote[3159].start 13249.40346875
transcript.pyannote[3159].end 13249.42034375
transcript.pyannote[3160].speaker SPEAKER_17
transcript.pyannote[3160].start 13250.02784375
transcript.pyannote[3160].end 13250.56784375
transcript.pyannote[3161].speaker SPEAKER_22
transcript.pyannote[3161].start 13250.56784375
transcript.pyannote[3161].end 13250.66909375
transcript.pyannote[3162].speaker SPEAKER_17
transcript.pyannote[3162].start 13250.66909375
transcript.pyannote[3162].end 13250.68596875
transcript.pyannote[3163].speaker SPEAKER_22
transcript.pyannote[3163].start 13250.68596875
transcript.pyannote[3163].end 13250.71971875
transcript.pyannote[3164].speaker SPEAKER_22
transcript.pyannote[3164].start 13251.04034375
transcript.pyannote[3164].end 13251.05721875
transcript.pyannote[3165].speaker SPEAKER_17
transcript.pyannote[3165].start 13251.05721875
transcript.pyannote[3165].end 13251.51284375
transcript.pyannote[3166].speaker SPEAKER_22
transcript.pyannote[3166].start 13251.51284375
transcript.pyannote[3166].end 13251.58034375
transcript.pyannote[3167].speaker SPEAKER_17
transcript.pyannote[3167].start 13251.58034375
transcript.pyannote[3167].end 13251.61409375
transcript.pyannote[3168].speaker SPEAKER_22
transcript.pyannote[3168].start 13251.61409375
transcript.pyannote[3168].end 13260.37221875
transcript.pyannote[3169].speaker SPEAKER_17
transcript.pyannote[3169].start 13252.03596875
transcript.pyannote[3169].end 13252.59284375
transcript.pyannote[3170].speaker SPEAKER_22
transcript.pyannote[3170].start 13260.69284375
transcript.pyannote[3170].end 13264.70909375
transcript.pyannote[3171].speaker SPEAKER_22
transcript.pyannote[3171].start 13265.24909375
transcript.pyannote[3171].end 13270.63221875
transcript.pyannote[3172].speaker SPEAKER_17
transcript.pyannote[3172].start 13268.32034375
transcript.pyannote[3172].end 13284.45284375
transcript.pyannote[3173].speaker SPEAKER_22
transcript.pyannote[3173].start 13271.98221875
transcript.pyannote[3173].end 13272.06659375
transcript.pyannote[3174].speaker SPEAKER_40
transcript.pyannote[3174].start 13284.45284375
transcript.pyannote[3174].end 13284.55409375
transcript.pyannote[3175].speaker SPEAKER_17
transcript.pyannote[3175].start 13284.55409375
transcript.pyannote[3175].end 13316.02596875
transcript.pyannote[3176].speaker SPEAKER_40
transcript.pyannote[3176].start 13284.57096875
transcript.pyannote[3176].end 13284.68909375
transcript.pyannote[3177].speaker SPEAKER_21
transcript.pyannote[3177].start 13289.26221875
transcript.pyannote[3177].end 13289.38034375
transcript.pyannote[3178].speaker SPEAKER_40
transcript.pyannote[3178].start 13289.38034375
transcript.pyannote[3178].end 13290.54471875
transcript.pyannote[3179].speaker SPEAKER_21
transcript.pyannote[3179].start 13290.54471875
transcript.pyannote[3179].end 13290.62909375
transcript.pyannote[3180].speaker SPEAKER_22
transcript.pyannote[3180].start 13290.62909375
transcript.pyannote[3180].end 13290.64596875
transcript.pyannote[3181].speaker SPEAKER_17
transcript.pyannote[3181].start 13316.24534375
transcript.pyannote[3181].end 13333.12034375
transcript.pyannote[3182].speaker SPEAKER_17
transcript.pyannote[3182].start 13333.40721875
transcript.pyannote[3182].end 13335.98909375
transcript.pyannote[3183].speaker SPEAKER_22
transcript.pyannote[3183].start 13336.52909375
transcript.pyannote[3183].end 13341.20346875
transcript.pyannote[3184].speaker SPEAKER_22
transcript.pyannote[3184].start 13341.50721875
transcript.pyannote[3184].end 13351.85159375
transcript.pyannote[3185].speaker SPEAKER_17
transcript.pyannote[3185].start 13350.07971875
transcript.pyannote[3185].end 13359.96846875
transcript.pyannote[3186].speaker SPEAKER_22
transcript.pyannote[3186].start 13355.53034375
transcript.pyannote[3186].end 13355.91846875
transcript.pyannote[3187].speaker SPEAKER_22
transcript.pyannote[3187].start 13359.96846875
transcript.pyannote[3187].end 13368.06846875
transcript.pyannote[3188].speaker SPEAKER_17
transcript.pyannote[3188].start 13368.08534375
transcript.pyannote[3188].end 13370.53221875
transcript.pyannote[3189].speaker SPEAKER_17
transcript.pyannote[3189].start 13370.98784375
transcript.pyannote[3189].end 13373.08034375
transcript.pyannote[3190].speaker SPEAKER_40
transcript.pyannote[3190].start 13373.08034375
transcript.pyannote[3190].end 13373.48534375
transcript.pyannote[3191].speaker SPEAKER_17
transcript.pyannote[3191].start 13373.48534375
transcript.pyannote[3191].end 13378.02471875
transcript.pyannote[3192].speaker SPEAKER_40
transcript.pyannote[3192].start 13378.85159375
transcript.pyannote[3192].end 13379.84721875
transcript.pyannote[3193].speaker SPEAKER_17
transcript.pyannote[3193].start 13378.96971875
transcript.pyannote[3193].end 13400.85659375
transcript.pyannote[3194].speaker SPEAKER_39
transcript.pyannote[3194].start 13379.84721875
transcript.pyannote[3194].end 13379.88096875
transcript.pyannote[3195].speaker SPEAKER_06
transcript.pyannote[3195].start 13384.47096875
transcript.pyannote[3195].end 13384.50471875
transcript.pyannote[3196].speaker SPEAKER_39
transcript.pyannote[3196].start 13384.50471875
transcript.pyannote[3196].end 13384.87596875
transcript.pyannote[3197].speaker SPEAKER_06
transcript.pyannote[3197].start 13384.87596875
transcript.pyannote[3197].end 13384.92659375
transcript.pyannote[3198].speaker SPEAKER_39
transcript.pyannote[3198].start 13384.92659375
transcript.pyannote[3198].end 13384.97721875
transcript.pyannote[3199].speaker SPEAKER_28
transcript.pyannote[3199].start 13386.73221875
transcript.pyannote[3199].end 13386.74909375
transcript.pyannote[3200].speaker SPEAKER_06
transcript.pyannote[3200].start 13386.74909375
transcript.pyannote[3200].end 13387.20471875
transcript.pyannote[3201].speaker SPEAKER_28
transcript.pyannote[3201].start 13387.20471875
transcript.pyannote[3201].end 13387.23846875
transcript.pyannote[3202].speaker SPEAKER_22
transcript.pyannote[3202].start 13398.13971875
transcript.pyannote[3202].end 13410.93096875
transcript.pyannote[3203].speaker SPEAKER_17
transcript.pyannote[3203].start 13406.88096875
transcript.pyannote[3203].end 13418.50784375
transcript.pyannote[3204].speaker SPEAKER_22
transcript.pyannote[3204].start 13414.39034375
transcript.pyannote[3204].end 13414.82909375
transcript.pyannote[3205].speaker SPEAKER_22
transcript.pyannote[3205].start 13417.56284375
transcript.pyannote[3205].end 13417.71471875
transcript.pyannote[3206].speaker SPEAKER_22
transcript.pyannote[3206].start 13418.03534375
transcript.pyannote[3206].end 13418.49096875
transcript.pyannote[3207].speaker SPEAKER_22
transcript.pyannote[3207].start 13418.50784375
transcript.pyannote[3207].end 13418.91284375
transcript.pyannote[3208].speaker SPEAKER_17
transcript.pyannote[3208].start 13418.91284375
transcript.pyannote[3208].end 13419.01409375
transcript.pyannote[3209].speaker SPEAKER_17
transcript.pyannote[3209].start 13419.11534375
transcript.pyannote[3209].end 13421.61284375
transcript.pyannote[3210].speaker SPEAKER_17
transcript.pyannote[3210].start 13421.89971875
transcript.pyannote[3210].end 13422.03471875
transcript.pyannote[3211].speaker SPEAKER_17
transcript.pyannote[3211].start 13422.92909375
transcript.pyannote[3211].end 13423.30034375
transcript.pyannote[3212].speaker SPEAKER_17
transcript.pyannote[3212].start 13424.14409375
transcript.pyannote[3212].end 13426.28721875
transcript.pyannote[3213].speaker SPEAKER_17
transcript.pyannote[3213].start 13426.79346875
transcript.pyannote[3213].end 13445.00159375
transcript.pyannote[3214].speaker SPEAKER_17
transcript.pyannote[3214].start 13445.69346875
transcript.pyannote[3214].end 13466.50034375
transcript.pyannote[3215].speaker SPEAKER_17
transcript.pyannote[3215].start 13466.73659375
transcript.pyannote[3215].end 13497.92159375
transcript.pyannote[3216].speaker SPEAKER_17
transcript.pyannote[3216].start 13498.42784375
transcript.pyannote[3216].end 13533.27471875
transcript.pyannote[3217].speaker SPEAKER_17
transcript.pyannote[3217].start 13533.62909375
transcript.pyannote[3217].end 13542.13409375
transcript.pyannote[3218].speaker SPEAKER_17
transcript.pyannote[3218].start 13542.96096875
transcript.pyannote[3218].end 13549.82909375
transcript.pyannote[3219].speaker SPEAKER_17
transcript.pyannote[3219].start 13550.23409375
transcript.pyannote[3219].end 13556.00534375
transcript.pyannote[3220].speaker SPEAKER_17
transcript.pyannote[3220].start 13557.10221875
transcript.pyannote[3220].end 13558.40159375
transcript.pyannote[3221].speaker SPEAKER_17
transcript.pyannote[3221].start 13558.92471875
transcript.pyannote[3221].end 13590.36284375
transcript.pyannote[3222].speaker SPEAKER_22
transcript.pyannote[3222].start 13591.05471875
transcript.pyannote[3222].end 13593.46784375
transcript.pyannote[3223].speaker SPEAKER_22
transcript.pyannote[3223].start 13593.83909375
transcript.pyannote[3223].end 13596.89346875
transcript.pyannote[3224].speaker SPEAKER_17
transcript.pyannote[3224].start 13596.97784375
transcript.pyannote[3224].end 13599.62721875
transcript.pyannote[3225].speaker SPEAKER_32
transcript.pyannote[3225].start 13605.53346875
transcript.pyannote[3225].end 13608.65534375
transcript.pyannote[3226].speaker SPEAKER_44
transcript.pyannote[3226].start 13620.51846875
transcript.pyannote[3226].end 13624.31534375
transcript.pyannote[3227].speaker SPEAKER_17
transcript.pyannote[3227].start 13625.34471875
transcript.pyannote[3227].end 13625.53034375
transcript.pyannote[3228].speaker SPEAKER_44
transcript.pyannote[3228].start 13625.53034375
transcript.pyannote[3228].end 13626.93096875
transcript.pyannote[3229].speaker SPEAKER_17
transcript.pyannote[3229].start 13625.56409375
transcript.pyannote[3229].end 13625.80034375
transcript.pyannote[3230].speaker SPEAKER_17
transcript.pyannote[3230].start 13627.15034375
transcript.pyannote[3230].end 13628.06159375
transcript.pyannote[3231].speaker SPEAKER_44
transcript.pyannote[3231].start 13636.16159375
transcript.pyannote[3231].end 13636.65096875
transcript.pyannote[3232].speaker SPEAKER_44
transcript.pyannote[3232].start 13639.90784375
transcript.pyannote[3232].end 13640.66721875
transcript.pyannote[3233].speaker SPEAKER_28
transcript.pyannote[3233].start 13640.66721875
transcript.pyannote[3233].end 13640.68409375
transcript.pyannote[3234].speaker SPEAKER_44
transcript.pyannote[3234].start 13641.12284375
transcript.pyannote[3234].end 13641.96659375
transcript.pyannote[3235].speaker SPEAKER_28
transcript.pyannote[3235].start 13641.96659375
transcript.pyannote[3235].end 13643.62034375
transcript.pyannote[3236].speaker SPEAKER_28
transcript.pyannote[3236].start 13643.92409375
transcript.pyannote[3236].end 13647.50159375
transcript.pyannote[3237].speaker SPEAKER_28
transcript.pyannote[3237].start 13647.90659375
transcript.pyannote[3237].end 13649.22284375
transcript.pyannote[3238].speaker SPEAKER_28
transcript.pyannote[3238].start 13649.96534375
transcript.pyannote[3238].end 13650.97784375
transcript.pyannote[3239].speaker SPEAKER_28
transcript.pyannote[3239].start 13651.61909375
transcript.pyannote[3239].end 13652.44596875
transcript.pyannote[3240].speaker SPEAKER_28
transcript.pyannote[3240].start 13653.47534375
transcript.pyannote[3240].end 13655.17971875
transcript.pyannote[3241].speaker SPEAKER_28
transcript.pyannote[3241].start 13655.95596875
transcript.pyannote[3241].end 13656.78284375
transcript.pyannote[3242].speaker SPEAKER_28
transcript.pyannote[3242].start 13657.01909375
transcript.pyannote[3242].end 13658.40284375
transcript.pyannote[3243].speaker SPEAKER_28
transcript.pyannote[3243].start 13659.04409375
transcript.pyannote[3243].end 13660.00596875
transcript.pyannote[3244].speaker SPEAKER_28
transcript.pyannote[3244].start 13660.37721875
transcript.pyannote[3244].end 13662.77346875
transcript.pyannote[3245].speaker SPEAKER_28
transcript.pyannote[3245].start 13663.39784375
transcript.pyannote[3245].end 13666.75596875
transcript.pyannote[3246].speaker SPEAKER_28
transcript.pyannote[3246].start 13667.16096875
transcript.pyannote[3246].end 13671.10971875
transcript.pyannote[3247].speaker SPEAKER_28
transcript.pyannote[3247].start 13671.56534375
transcript.pyannote[3247].end 13674.50159375
transcript.pyannote[3248].speaker SPEAKER_28
transcript.pyannote[3248].start 13674.73784375
transcript.pyannote[3248].end 13675.96971875
transcript.pyannote[3249].speaker SPEAKER_28
transcript.pyannote[3249].start 13676.49284375
transcript.pyannote[3249].end 13678.78784375
transcript.pyannote[3250].speaker SPEAKER_28
transcript.pyannote[3250].start 13679.27721875
transcript.pyannote[3250].end 13681.42034375
transcript.pyannote[3251].speaker SPEAKER_28
transcript.pyannote[3251].start 13681.72409375
transcript.pyannote[3251].end 13682.75346875
transcript.pyannote[3252].speaker SPEAKER_28
transcript.pyannote[3252].start 13684.77846875
transcript.pyannote[3252].end 13687.61346875
transcript.pyannote[3253].speaker SPEAKER_28
transcript.pyannote[3253].start 13688.11971875
transcript.pyannote[3253].end 13691.56221875
transcript.pyannote[3254].speaker SPEAKER_28
transcript.pyannote[3254].start 13692.08534375
transcript.pyannote[3254].end 13692.86159375
transcript.pyannote[3255].speaker SPEAKER_28
transcript.pyannote[3255].start 13694.00909375
transcript.pyannote[3255].end 13694.81909375
transcript.pyannote[3256].speaker SPEAKER_28
transcript.pyannote[3256].start 13696.64159375
transcript.pyannote[3256].end 13700.28659375
transcript.pyannote[3257].speaker SPEAKER_28
transcript.pyannote[3257].start 13701.61971875
transcript.pyannote[3257].end 13703.99909375
transcript.pyannote[3258].speaker SPEAKER_28
transcript.pyannote[3258].start 13704.48846875
transcript.pyannote[3258].end 13705.70346875
transcript.pyannote[3259].speaker SPEAKER_28
transcript.pyannote[3259].start 13706.51346875
transcript.pyannote[3259].end 13707.91409375
transcript.pyannote[3260].speaker SPEAKER_28
transcript.pyannote[3260].start 13710.59721875
transcript.pyannote[3260].end 13713.75284375
transcript.pyannote[3261].speaker SPEAKER_22
transcript.pyannote[3261].start 13713.75284375
transcript.pyannote[3261].end 13713.76971875
transcript.pyannote[3262].speaker SPEAKER_28
transcript.pyannote[3262].start 13714.52909375
transcript.pyannote[3262].end 13715.03534375
transcript.pyannote[3263].speaker SPEAKER_22
transcript.pyannote[3263].start 13715.03534375
transcript.pyannote[3263].end 13718.39346875
transcript.pyannote[3264].speaker SPEAKER_22
transcript.pyannote[3264].start 13718.62971875
transcript.pyannote[3264].end 13722.78096875
transcript.pyannote[3265].speaker SPEAKER_28
transcript.pyannote[3265].start 13718.98409375
transcript.pyannote[3265].end 13719.33846875
transcript.pyannote[3266].speaker SPEAKER_28
transcript.pyannote[3266].start 13719.37221875
transcript.pyannote[3266].end 13719.38909375
transcript.pyannote[3267].speaker SPEAKER_22
transcript.pyannote[3267].start 13723.92846875
transcript.pyannote[3267].end 13726.96596875
transcript.pyannote[3268].speaker SPEAKER_28
transcript.pyannote[3268].start 13726.96596875
transcript.pyannote[3268].end 13729.51409375
transcript.pyannote[3269].speaker SPEAKER_28
transcript.pyannote[3269].start 13730.62784375
transcript.pyannote[3269].end 13732.19721875
transcript.pyannote[3270].speaker SPEAKER_22
transcript.pyannote[3270].start 13731.03284375
transcript.pyannote[3270].end 13731.85971875
transcript.pyannote[3271].speaker SPEAKER_22
transcript.pyannote[3271].start 13731.87659375
transcript.pyannote[3271].end 13731.89346875
transcript.pyannote[3272].speaker SPEAKER_22
transcript.pyannote[3272].start 13732.19721875
transcript.pyannote[3272].end 13734.39096875
transcript.pyannote[3273].speaker SPEAKER_28
transcript.pyannote[3273].start 13733.49659375
transcript.pyannote[3273].end 13734.52596875
transcript.pyannote[3274].speaker SPEAKER_22
transcript.pyannote[3274].start 13734.64409375
transcript.pyannote[3274].end 13734.89721875
transcript.pyannote[3275].speaker SPEAKER_28
transcript.pyannote[3275].start 13734.89721875
transcript.pyannote[3275].end 13734.93096875
transcript.pyannote[3276].speaker SPEAKER_22
transcript.pyannote[3276].start 13734.93096875
transcript.pyannote[3276].end 13734.94784375
transcript.pyannote[3277].speaker SPEAKER_28
transcript.pyannote[3277].start 13734.94784375
transcript.pyannote[3277].end 13735.75784375
transcript.pyannote[3278].speaker SPEAKER_28
transcript.pyannote[3278].start 13735.79159375
transcript.pyannote[3278].end 13736.93909375
transcript.pyannote[3279].speaker SPEAKER_28
transcript.pyannote[3279].start 13737.90096875
transcript.pyannote[3279].end 13743.68909375
transcript.pyannote[3280].speaker SPEAKER_28
transcript.pyannote[3280].start 13745.20784375
transcript.pyannote[3280].end 13745.22471875
transcript.pyannote[3281].speaker SPEAKER_22
transcript.pyannote[3281].start 13745.22471875
transcript.pyannote[3281].end 13746.08534375
transcript.pyannote[3282].speaker SPEAKER_22
transcript.pyannote[3282].start 13747.08096875
transcript.pyannote[3282].end 13751.97471875
transcript.pyannote[3283].speaker SPEAKER_28
transcript.pyannote[3283].start 13750.97909375
transcript.pyannote[3283].end 13752.46409375
transcript.pyannote[3284].speaker SPEAKER_22
transcript.pyannote[3284].start 13752.46409375
transcript.pyannote[3284].end 13752.58221875
transcript.pyannote[3285].speaker SPEAKER_28
transcript.pyannote[3285].start 13752.58221875
transcript.pyannote[3285].end 13752.59909375
transcript.pyannote[3286].speaker SPEAKER_22
transcript.pyannote[3286].start 13752.59909375
transcript.pyannote[3286].end 13752.93659375
transcript.pyannote[3287].speaker SPEAKER_28
transcript.pyannote[3287].start 13752.93659375
transcript.pyannote[3287].end 13753.84784375
transcript.pyannote[3288].speaker SPEAKER_28
transcript.pyannote[3288].start 13753.96596875
transcript.pyannote[3288].end 13755.28221875
transcript.pyannote[3289].speaker SPEAKER_28
transcript.pyannote[3289].start 13755.68721875
transcript.pyannote[3289].end 13762.18409375
transcript.pyannote[3290].speaker SPEAKER_28
transcript.pyannote[3290].start 13762.47096875
transcript.pyannote[3290].end 13764.14159375
transcript.pyannote[3291].speaker SPEAKER_28
transcript.pyannote[3291].start 13765.00221875
transcript.pyannote[3291].end 13765.20471875
transcript.pyannote[3292].speaker SPEAKER_22
transcript.pyannote[3292].start 13765.20471875
transcript.pyannote[3292].end 13765.23846875
transcript.pyannote[3293].speaker SPEAKER_28
transcript.pyannote[3293].start 13765.72784375
transcript.pyannote[3293].end 13770.01409375
transcript.pyannote[3294].speaker SPEAKER_28
transcript.pyannote[3294].start 13770.58784375
transcript.pyannote[3294].end 13776.03846875
transcript.pyannote[3295].speaker SPEAKER_28
transcript.pyannote[3295].start 13776.19034375
transcript.pyannote[3295].end 13777.16909375
transcript.pyannote[3296].speaker SPEAKER_28
transcript.pyannote[3296].start 13777.42221875
transcript.pyannote[3296].end 13781.06721875
transcript.pyannote[3297].speaker SPEAKER_28
transcript.pyannote[3297].start 13781.37096875
transcript.pyannote[3297].end 13782.02909375
transcript.pyannote[3298].speaker SPEAKER_28
transcript.pyannote[3298].start 13782.51846875
transcript.pyannote[3298].end 13789.38659375
transcript.pyannote[3299].speaker SPEAKER_28
transcript.pyannote[3299].start 13790.14596875
transcript.pyannote[3299].end 13796.54159375
transcript.pyannote[3300].speaker SPEAKER_28
transcript.pyannote[3300].start 13796.76096875
transcript.pyannote[3300].end 13798.04346875
transcript.pyannote[3301].speaker SPEAKER_28
transcript.pyannote[3301].start 13798.53284375
transcript.pyannote[3301].end 13799.93346875
transcript.pyannote[3302].speaker SPEAKER_28
transcript.pyannote[3302].start 13801.01346875
transcript.pyannote[3302].end 13801.82346875
transcript.pyannote[3303].speaker SPEAKER_28
transcript.pyannote[3303].start 13802.70096875
transcript.pyannote[3303].end 13803.61221875
transcript.pyannote[3304].speaker SPEAKER_28
transcript.pyannote[3304].start 13804.18596875
transcript.pyannote[3304].end 13805.19846875
transcript.pyannote[3305].speaker SPEAKER_28
transcript.pyannote[3305].start 13805.62034375
transcript.pyannote[3305].end 13807.57784375
transcript.pyannote[3306].speaker SPEAKER_28
transcript.pyannote[3306].start 13807.66221875
transcript.pyannote[3306].end 13808.74221875
transcript.pyannote[3307].speaker SPEAKER_28
transcript.pyannote[3307].start 13809.09659375
transcript.pyannote[3307].end 13810.27784375
transcript.pyannote[3308].speaker SPEAKER_28
transcript.pyannote[3308].start 13810.42971875
transcript.pyannote[3308].end 13811.35784375
transcript.pyannote[3309].speaker SPEAKER_28
transcript.pyannote[3309].start 13812.16784375
transcript.pyannote[3309].end 13813.24784375
transcript.pyannote[3310].speaker SPEAKER_28
transcript.pyannote[3310].start 13813.70346875
transcript.pyannote[3310].end 13814.76659375
transcript.pyannote[3311].speaker SPEAKER_28
transcript.pyannote[3311].start 13815.39096875
transcript.pyannote[3311].end 13816.65659375
transcript.pyannote[3312].speaker SPEAKER_28
transcript.pyannote[3312].start 13817.06159375
transcript.pyannote[3312].end 13820.95971875
transcript.pyannote[3313].speaker SPEAKER_28
transcript.pyannote[3313].start 13821.63471875
transcript.pyannote[3313].end 13822.44471875
transcript.pyannote[3314].speaker SPEAKER_28
transcript.pyannote[3314].start 13823.23784375
transcript.pyannote[3314].end 13826.86596875
transcript.pyannote[3315].speaker SPEAKER_28
transcript.pyannote[3315].start 13827.20346875
transcript.pyannote[3315].end 13829.51534375
transcript.pyannote[3316].speaker SPEAKER_28
transcript.pyannote[3316].start 13829.95409375
transcript.pyannote[3316].end 13830.62909375
transcript.pyannote[3317].speaker SPEAKER_28
transcript.pyannote[3317].start 13831.01721875
transcript.pyannote[3317].end 13832.24909375
transcript.pyannote[3318].speaker SPEAKER_28
transcript.pyannote[3318].start 13832.35034375
transcript.pyannote[3318].end 13834.69596875
transcript.pyannote[3319].speaker SPEAKER_28
transcript.pyannote[3319].start 13835.30346875
transcript.pyannote[3319].end 13837.02471875
transcript.pyannote[3320].speaker SPEAKER_22
transcript.pyannote[3320].start 13837.02471875
transcript.pyannote[3320].end 13837.51409375
transcript.pyannote[3321].speaker SPEAKER_22
transcript.pyannote[3321].start 13841.47971875
transcript.pyannote[3321].end 13846.18784375
transcript.pyannote[3322].speaker SPEAKER_28
transcript.pyannote[3322].start 13845.20909375
transcript.pyannote[3322].end 13846.05284375
transcript.pyannote[3323].speaker SPEAKER_22
transcript.pyannote[3323].start 13846.39034375
transcript.pyannote[3323].end 13848.97221875
transcript.pyannote[3324].speaker SPEAKER_28
transcript.pyannote[3324].start 13848.39846875
transcript.pyannote[3324].end 13850.35596875
transcript.pyannote[3325].speaker SPEAKER_28
transcript.pyannote[3325].start 13852.17846875
transcript.pyannote[3325].end 13857.49409375
transcript.pyannote[3326].speaker SPEAKER_12
transcript.pyannote[3326].start 13857.62909375
transcript.pyannote[3326].end 13867.43346875
transcript.pyannote[3327].speaker SPEAKER_28
transcript.pyannote[3327].start 13859.04659375
transcript.pyannote[3327].end 13859.92409375
transcript.pyannote[3328].speaker SPEAKER_28
transcript.pyannote[3328].start 13867.29846875
transcript.pyannote[3328].end 13870.53846875
transcript.pyannote[3329].speaker SPEAKER_12
transcript.pyannote[3329].start 13869.47534375
transcript.pyannote[3329].end 13869.84659375
transcript.pyannote[3330].speaker SPEAKER_28
transcript.pyannote[3330].start 13870.74096875
transcript.pyannote[3330].end 13872.00659375
transcript.pyannote[3331].speaker SPEAKER_39
transcript.pyannote[3331].start 13872.20909375
transcript.pyannote[3331].end 13872.52971875
transcript.pyannote[3332].speaker SPEAKER_28
transcript.pyannote[3332].start 13873.98096875
transcript.pyannote[3332].end 13875.11159375
transcript.pyannote[3333].speaker SPEAKER_28
transcript.pyannote[3333].start 13875.90471875
transcript.pyannote[3333].end 13878.73971875
transcript.pyannote[3334].speaker SPEAKER_28
transcript.pyannote[3334].start 13878.80721875
transcript.pyannote[3334].end 13879.17846875
transcript.pyannote[3335].speaker SPEAKER_28
transcript.pyannote[3335].start 13879.49909375
transcript.pyannote[3335].end 13881.18659375
transcript.pyannote[3336].speaker SPEAKER_28
transcript.pyannote[3336].start 13881.57471875
transcript.pyannote[3336].end 13883.59971875
transcript.pyannote[3337].speaker SPEAKER_28
transcript.pyannote[3337].start 13884.12284375
transcript.pyannote[3337].end 13885.45596875
transcript.pyannote[3338].speaker SPEAKER_28
transcript.pyannote[3338].start 13886.46846875
transcript.pyannote[3338].end 13890.43409375
transcript.pyannote[3339].speaker SPEAKER_28
transcript.pyannote[3339].start 13891.49721875
transcript.pyannote[3339].end 13893.25221875
transcript.pyannote[3340].speaker SPEAKER_28
transcript.pyannote[3340].start 13893.85971875
transcript.pyannote[3340].end 13896.27284375
transcript.pyannote[3341].speaker SPEAKER_28
transcript.pyannote[3341].start 13896.62721875
transcript.pyannote[3341].end 13897.79159375
transcript.pyannote[3342].speaker SPEAKER_28
transcript.pyannote[3342].start 13898.95596875
transcript.pyannote[3342].end 13900.96409375
transcript.pyannote[3343].speaker SPEAKER_28
transcript.pyannote[3343].start 13901.58846875
transcript.pyannote[3343].end 13902.63471875
transcript.pyannote[3344].speaker SPEAKER_28
transcript.pyannote[3344].start 13903.17471875
transcript.pyannote[3344].end 13905.46971875
transcript.pyannote[3345].speaker SPEAKER_28
transcript.pyannote[3345].start 13905.89159375
transcript.pyannote[3345].end 13910.63346875
transcript.pyannote[3346].speaker SPEAKER_12
transcript.pyannote[3346].start 13910.90346875
transcript.pyannote[3346].end 13919.54346875
transcript.pyannote[3347].speaker SPEAKER_12
transcript.pyannote[3347].start 13920.52221875
transcript.pyannote[3347].end 13932.67221875
transcript.pyannote[3348].speaker SPEAKER_39
transcript.pyannote[3348].start 13931.99721875
transcript.pyannote[3348].end 13932.03096875
transcript.pyannote[3349].speaker SPEAKER_28
transcript.pyannote[3349].start 13932.03096875
transcript.pyannote[3349].end 13932.52034375
transcript.pyannote[3350].speaker SPEAKER_12
transcript.pyannote[3350].start 13932.70596875
transcript.pyannote[3350].end 13933.06034375
transcript.pyannote[3351].speaker SPEAKER_12
transcript.pyannote[3351].start 13933.29659375
transcript.pyannote[3351].end 13934.20784375
transcript.pyannote[3352].speaker SPEAKER_12
transcript.pyannote[3352].start 13934.35971875
transcript.pyannote[3352].end 13935.96284375
transcript.pyannote[3353].speaker SPEAKER_28
transcript.pyannote[3353].start 13935.06846875
transcript.pyannote[3353].end 13935.22034375
transcript.pyannote[3354].speaker SPEAKER_28
transcript.pyannote[3354].start 13935.27096875
transcript.pyannote[3354].end 13935.28784375
transcript.pyannote[3355].speaker SPEAKER_28
transcript.pyannote[3355].start 13935.96284375
transcript.pyannote[3355].end 13936.75596875
transcript.pyannote[3356].speaker SPEAKER_28
transcript.pyannote[3356].start 13938.52784375
transcript.pyannote[3356].end 13939.45596875
transcript.pyannote[3357].speaker SPEAKER_28
transcript.pyannote[3357].start 13940.09721875
transcript.pyannote[3357].end 13941.05909375
transcript.pyannote[3358].speaker SPEAKER_28
transcript.pyannote[3358].start 13941.90284375
transcript.pyannote[3358].end 13943.97846875
transcript.pyannote[3359].speaker SPEAKER_28
transcript.pyannote[3359].start 13944.65346875
transcript.pyannote[3359].end 13945.88534375
transcript.pyannote[3360].speaker SPEAKER_28
transcript.pyannote[3360].start 13946.50971875
transcript.pyannote[3360].end 13947.64034375
transcript.pyannote[3361].speaker SPEAKER_28
transcript.pyannote[3361].start 13948.53471875
transcript.pyannote[3361].end 13949.37846875
transcript.pyannote[3362].speaker SPEAKER_28
transcript.pyannote[3362].start 13950.40784375
transcript.pyannote[3362].end 13951.53846875
transcript.pyannote[3363].speaker SPEAKER_28
transcript.pyannote[3363].start 13951.60596875
transcript.pyannote[3363].end 13952.34846875
transcript.pyannote[3364].speaker SPEAKER_28
transcript.pyannote[3364].start 13953.85034375
transcript.pyannote[3364].end 13954.60971875
transcript.pyannote[3365].speaker SPEAKER_28
transcript.pyannote[3365].start 13954.87971875
transcript.pyannote[3365].end 13955.77409375
transcript.pyannote[3366].speaker SPEAKER_28
transcript.pyannote[3366].start 13956.36471875
transcript.pyannote[3366].end 13957.59659375
transcript.pyannote[3367].speaker SPEAKER_28
transcript.pyannote[3367].start 13958.05221875
transcript.pyannote[3367].end 13961.00534375
transcript.pyannote[3368].speaker SPEAKER_28
transcript.pyannote[3368].start 13961.78159375
transcript.pyannote[3368].end 13962.35534375
transcript.pyannote[3369].speaker SPEAKER_28
transcript.pyannote[3369].start 13963.51971875
transcript.pyannote[3369].end 13965.25784375
transcript.pyannote[3370].speaker SPEAKER_28
transcript.pyannote[3370].start 13965.79784375
transcript.pyannote[3370].end 13969.45971875
transcript.pyannote[3371].speaker SPEAKER_28
transcript.pyannote[3371].start 13970.37096875
transcript.pyannote[3371].end 13971.31596875
transcript.pyannote[3372].speaker SPEAKER_28
transcript.pyannote[3372].start 13972.37909375
transcript.pyannote[3372].end 13973.69534375
transcript.pyannote[3373].speaker SPEAKER_28
transcript.pyannote[3373].start 13974.11721875
transcript.pyannote[3373].end 13975.14659375
transcript.pyannote[3374].speaker SPEAKER_28
transcript.pyannote[3374].start 13976.56409375
transcript.pyannote[3374].end 13978.52159375
transcript.pyannote[3375].speaker SPEAKER_28
transcript.pyannote[3375].start 13978.67346875
transcript.pyannote[3375].end 13979.21346875
transcript.pyannote[3376].speaker SPEAKER_28
transcript.pyannote[3376].start 13979.55096875
transcript.pyannote[3376].end 13980.66471875
transcript.pyannote[3377].speaker SPEAKER_28
transcript.pyannote[3377].start 13981.62659375
transcript.pyannote[3377].end 13983.17909375
transcript.pyannote[3378].speaker SPEAKER_28
transcript.pyannote[3378].start 13983.71909375
transcript.pyannote[3378].end 13985.69346875
transcript.pyannote[3379].speaker SPEAKER_28
transcript.pyannote[3379].start 13986.53721875
transcript.pyannote[3379].end 13987.58346875
transcript.pyannote[3380].speaker SPEAKER_28
transcript.pyannote[3380].start 13988.17409375
transcript.pyannote[3380].end 13989.84471875
transcript.pyannote[3381].speaker SPEAKER_28
transcript.pyannote[3381].start 13990.94159375
transcript.pyannote[3381].end 13991.29596875
transcript.pyannote[3382].speaker SPEAKER_28
transcript.pyannote[3382].start 13991.85284375
transcript.pyannote[3382].end 13993.11846875
transcript.pyannote[3383].speaker SPEAKER_28
transcript.pyannote[3383].start 13993.96221875
transcript.pyannote[3383].end 13995.95346875
transcript.pyannote[3384].speaker SPEAKER_28
transcript.pyannote[3384].start 13996.47659375
transcript.pyannote[3384].end 13997.67471875
transcript.pyannote[3385].speaker SPEAKER_28
transcript.pyannote[3385].start 13998.21471875
transcript.pyannote[3385].end 14001.47159375
transcript.pyannote[3386].speaker SPEAKER_28
transcript.pyannote[3386].start 14002.34909375
transcript.pyannote[3386].end 14003.26034375
transcript.pyannote[3387].speaker SPEAKER_28
transcript.pyannote[3387].start 14004.10409375
transcript.pyannote[3387].end 14005.50471875
transcript.pyannote[3388].speaker SPEAKER_28
transcript.pyannote[3388].start 14006.60159375
transcript.pyannote[3388].end 14007.29346875
transcript.pyannote[3389].speaker SPEAKER_28
transcript.pyannote[3389].start 14007.95159375
transcript.pyannote[3389].end 14009.01471875
transcript.pyannote[3390].speaker SPEAKER_28
transcript.pyannote[3390].start 14009.23409375
transcript.pyannote[3390].end 14010.34784375
transcript.pyannote[3391].speaker SPEAKER_28
transcript.pyannote[3391].start 14011.03971875
transcript.pyannote[3391].end 14014.36409375
transcript.pyannote[3392].speaker SPEAKER_28
transcript.pyannote[3392].start 14014.88721875
transcript.pyannote[3392].end 14015.91659375
transcript.pyannote[3393].speaker SPEAKER_28
transcript.pyannote[3393].start 14016.67596875
transcript.pyannote[3393].end 14017.68846875
transcript.pyannote[3394].speaker SPEAKER_28
transcript.pyannote[3394].start 14018.14409375
transcript.pyannote[3394].end 14021.28284375
transcript.pyannote[3395].speaker SPEAKER_28
transcript.pyannote[3395].start 14022.17721875
transcript.pyannote[3395].end 14023.00409375
transcript.pyannote[3396].speaker SPEAKER_28
transcript.pyannote[3396].start 14023.86471875
transcript.pyannote[3396].end 14026.95284375
transcript.pyannote[3397].speaker SPEAKER_28
transcript.pyannote[3397].start 14027.29034375
transcript.pyannote[3397].end 14028.64034375
transcript.pyannote[3398].speaker SPEAKER_28
transcript.pyannote[3398].start 14029.34909375
transcript.pyannote[3398].end 14032.21784375
transcript.pyannote[3399].speaker SPEAKER_28
transcript.pyannote[3399].start 14032.89284375
transcript.pyannote[3399].end 14034.68159375
transcript.pyannote[3400].speaker SPEAKER_28
transcript.pyannote[3400].start 14035.13721875
transcript.pyannote[3400].end 14037.11159375
transcript.pyannote[3401].speaker SPEAKER_28
transcript.pyannote[3401].start 14037.46596875
transcript.pyannote[3401].end 14038.74846875
transcript.pyannote[3402].speaker SPEAKER_28
transcript.pyannote[3402].start 14039.40659375
transcript.pyannote[3402].end 14040.31784375
transcript.pyannote[3403].speaker SPEAKER_28
transcript.pyannote[3403].start 14040.62159375
transcript.pyannote[3403].end 14041.93784375
transcript.pyannote[3404].speaker SPEAKER_28
transcript.pyannote[3404].start 14042.42721875
transcript.pyannote[3404].end 14044.94159375
transcript.pyannote[3405].speaker SPEAKER_28
transcript.pyannote[3405].start 14045.26221875
transcript.pyannote[3405].end 14046.44346875
transcript.pyannote[3406].speaker SPEAKER_28
transcript.pyannote[3406].start 14047.60784375
transcript.pyannote[3406].end 14048.55284375
transcript.pyannote[3407].speaker SPEAKER_28
transcript.pyannote[3407].start 14048.70471875
transcript.pyannote[3407].end 14049.83534375
transcript.pyannote[3408].speaker SPEAKER_28
transcript.pyannote[3408].start 14050.42596875
transcript.pyannote[3408].end 14051.05034375
transcript.pyannote[3409].speaker SPEAKER_28
transcript.pyannote[3409].start 14051.50596875
transcript.pyannote[3409].end 14053.36221875
transcript.pyannote[3410].speaker SPEAKER_22
transcript.pyannote[3410].start 14053.36221875
transcript.pyannote[3410].end 14053.37909375
transcript.pyannote[3411].speaker SPEAKER_22
transcript.pyannote[3411].start 14056.07909375
transcript.pyannote[3411].end 14056.95659375
transcript.pyannote[3412].speaker SPEAKER_22
transcript.pyannote[3412].start 14056.97346875
transcript.pyannote[3412].end 14059.30221875
transcript.pyannote[3413].speaker SPEAKER_22
transcript.pyannote[3413].start 14059.79159375
transcript.pyannote[3413].end 14060.39909375
transcript.pyannote[3414].speaker SPEAKER_22
transcript.pyannote[3414].start 14060.75346875
transcript.pyannote[3414].end 14062.94721875
transcript.pyannote[3415].speaker SPEAKER_28
transcript.pyannote[3415].start 14062.94721875
transcript.pyannote[3415].end 14062.98096875
transcript.pyannote[3416].speaker SPEAKER_22
transcript.pyannote[3416].start 14063.89221875
transcript.pyannote[3416].end 14063.97659375
transcript.pyannote[3417].speaker SPEAKER_28
transcript.pyannote[3417].start 14063.97659375
transcript.pyannote[3417].end 14064.02721875
transcript.pyannote[3418].speaker SPEAKER_22
transcript.pyannote[3418].start 14064.02721875
transcript.pyannote[3418].end 14064.97221875
transcript.pyannote[3419].speaker SPEAKER_28
transcript.pyannote[3419].start 14064.97221875
transcript.pyannote[3419].end 14065.02284375
transcript.pyannote[3420].speaker SPEAKER_22
transcript.pyannote[3420].start 14065.02284375
transcript.pyannote[3420].end 14065.57971875
transcript.pyannote[3421].speaker SPEAKER_28
transcript.pyannote[3421].start 14065.57971875
transcript.pyannote[3421].end 14065.66409375
transcript.pyannote[3422].speaker SPEAKER_22
transcript.pyannote[3422].start 14065.74846875
transcript.pyannote[3422].end 14065.76534375
transcript.pyannote[3423].speaker SPEAKER_28
transcript.pyannote[3423].start 14065.76534375
transcript.pyannote[3423].end 14065.78221875
transcript.pyannote[3424].speaker SPEAKER_22
transcript.pyannote[3424].start 14065.78221875
transcript.pyannote[3424].end 14065.81596875
transcript.pyannote[3425].speaker SPEAKER_28
transcript.pyannote[3425].start 14065.81596875
transcript.pyannote[3425].end 14066.13659375
transcript.pyannote[3426].speaker SPEAKER_22
transcript.pyannote[3426].start 14066.13659375
transcript.pyannote[3426].end 14066.96346875
transcript.pyannote[3427].speaker SPEAKER_28
transcript.pyannote[3427].start 14066.96346875
transcript.pyannote[3427].end 14067.67221875
transcript.pyannote[3428].speaker SPEAKER_22
transcript.pyannote[3428].start 14067.14909375
transcript.pyannote[3428].end 14067.75659375
transcript.pyannote[3429].speaker SPEAKER_28
transcript.pyannote[3429].start 14067.75659375
transcript.pyannote[3429].end 14067.80721875
transcript.pyannote[3430].speaker SPEAKER_22
transcript.pyannote[3430].start 14067.80721875
transcript.pyannote[3430].end 14067.90846875
transcript.pyannote[3431].speaker SPEAKER_22
transcript.pyannote[3431].start 14068.51596875
transcript.pyannote[3431].end 14072.29596875
transcript.pyannote[3432].speaker SPEAKER_22
transcript.pyannote[3432].start 14073.25784375
transcript.pyannote[3432].end 14074.74284375
transcript.pyannote[3433].speaker SPEAKER_28
transcript.pyannote[3433].start 14074.74284375
transcript.pyannote[3433].end 14074.75971875
transcript.pyannote[3434].speaker SPEAKER_22
transcript.pyannote[3434].start 14075.24909375
transcript.pyannote[3434].end 14075.97471875
transcript.pyannote[3435].speaker SPEAKER_28
transcript.pyannote[3435].start 14075.97471875
transcript.pyannote[3435].end 14076.02534375
transcript.pyannote[3436].speaker SPEAKER_22
transcript.pyannote[3436].start 14076.02534375
transcript.pyannote[3436].end 14076.10971875
transcript.pyannote[3437].speaker SPEAKER_28
transcript.pyannote[3437].start 14076.10971875
transcript.pyannote[3437].end 14077.25721875
transcript.pyannote[3438].speaker SPEAKER_28
transcript.pyannote[3438].start 14077.98284375
transcript.pyannote[3438].end 14079.06284375
transcript.pyannote[3439].speaker SPEAKER_28
transcript.pyannote[3439].start 14079.83909375
transcript.pyannote[3439].end 14080.91909375
transcript.pyannote[3440].speaker SPEAKER_28
transcript.pyannote[3440].start 14081.42534375
transcript.pyannote[3440].end 14083.99034375
transcript.pyannote[3441].speaker SPEAKER_22
transcript.pyannote[3441].start 14083.99034375
transcript.pyannote[3441].end 14084.91846875
transcript.pyannote[3442].speaker SPEAKER_28
transcript.pyannote[3442].start 14084.32784375
transcript.pyannote[3442].end 14085.03659375
transcript.pyannote[3443].speaker SPEAKER_22
transcript.pyannote[3443].start 14085.03659375
transcript.pyannote[3443].end 14089.32284375
transcript.pyannote[3444].speaker SPEAKER_28
transcript.pyannote[3444].start 14085.57659375
transcript.pyannote[3444].end 14085.62721875
transcript.pyannote[3445].speaker SPEAKER_28
transcript.pyannote[3445].start 14085.91409375
transcript.pyannote[3445].end 14086.63971875
transcript.pyannote[3446].speaker SPEAKER_22
transcript.pyannote[3446].start 14089.87971875
transcript.pyannote[3446].end 14090.72346875
transcript.pyannote[3447].speaker SPEAKER_22
transcript.pyannote[3447].start 14091.14534375
transcript.pyannote[3447].end 14093.87909375
transcript.pyannote[3448].speaker SPEAKER_28
transcript.pyannote[3448].start 14093.87909375
transcript.pyannote[3448].end 14093.92971875
transcript.pyannote[3449].speaker SPEAKER_28
transcript.pyannote[3449].start 14095.36409375
transcript.pyannote[3449].end 14100.88221875
transcript.pyannote[3450].speaker SPEAKER_28
transcript.pyannote[3450].start 14101.32096875
transcript.pyannote[3450].end 14102.77221875
transcript.pyannote[3451].speaker SPEAKER_22
transcript.pyannote[3451].start 14103.09284375
transcript.pyannote[3451].end 14103.81846875
transcript.pyannote[3452].speaker SPEAKER_28
transcript.pyannote[3452].start 14103.43034375
transcript.pyannote[3452].end 14108.13846875
transcript.pyannote[3453].speaker SPEAKER_28
transcript.pyannote[3453].start 14108.34096875
transcript.pyannote[3453].end 14110.72034375
transcript.pyannote[3454].speaker SPEAKER_28
transcript.pyannote[3454].start 14110.88909375
transcript.pyannote[3454].end 14110.90596875
transcript.pyannote[3455].speaker SPEAKER_39
transcript.pyannote[3455].start 14110.90596875
transcript.pyannote[3455].end 14111.09159375
transcript.pyannote[3456].speaker SPEAKER_28
transcript.pyannote[3456].start 14111.09159375
transcript.pyannote[3456].end 14112.79596875
transcript.pyannote[3457].speaker SPEAKER_28
transcript.pyannote[3457].start 14113.55534375
transcript.pyannote[3457].end 14114.93909375
transcript.pyannote[3458].speaker SPEAKER_28
transcript.pyannote[3458].start 14115.93471875
transcript.pyannote[3458].end 14118.38159375
transcript.pyannote[3459].speaker SPEAKER_22
transcript.pyannote[3459].start 14118.63471875
transcript.pyannote[3459].end 14118.83721875
transcript.pyannote[3460].speaker SPEAKER_28
transcript.pyannote[3460].start 14119.17471875
transcript.pyannote[3460].end 14119.86659375
transcript.pyannote[3461].speaker SPEAKER_22
transcript.pyannote[3461].start 14120.11971875
transcript.pyannote[3461].end 14120.50784375
transcript.pyannote[3462].speaker SPEAKER_17
transcript.pyannote[3462].start 14126.93721875
transcript.pyannote[3462].end 14127.66284375
transcript.pyannote[3463].speaker SPEAKER_17
transcript.pyannote[3463].start 14128.33784375
transcript.pyannote[3463].end 14132.59034375
transcript.pyannote[3464].speaker SPEAKER_17
transcript.pyannote[3464].start 14134.17659375
transcript.pyannote[3464].end 14135.88096875
transcript.pyannote[3465].speaker SPEAKER_31
transcript.pyannote[3465].start 14143.74471875
transcript.pyannote[3465].end 14144.87534375
transcript.pyannote[3466].speaker SPEAKER_17
transcript.pyannote[3466].start 14145.26346875
transcript.pyannote[3466].end 14145.83721875
transcript.pyannote[3467].speaker SPEAKER_31
transcript.pyannote[3467].start 14154.08909375
transcript.pyannote[3467].end 14154.56159375
transcript.pyannote[3468].speaker SPEAKER_31
transcript.pyannote[3468].start 14154.81471875
transcript.pyannote[3468].end 14155.42221875
transcript.pyannote[3469].speaker SPEAKER_31
transcript.pyannote[3469].start 14155.48971875
transcript.pyannote[3469].end 14158.20659375
transcript.pyannote[3470].speaker SPEAKER_31
transcript.pyannote[3470].start 14159.40471875
transcript.pyannote[3470].end 14162.67846875
transcript.pyannote[3471].speaker SPEAKER_31
transcript.pyannote[3471].start 14162.93159375
transcript.pyannote[3471].end 14166.40784375
transcript.pyannote[3472].speaker SPEAKER_31
transcript.pyannote[3472].start 14167.65659375
transcript.pyannote[3472].end 14169.74909375
transcript.pyannote[3473].speaker SPEAKER_31
transcript.pyannote[3473].start 14170.44096875
transcript.pyannote[3473].end 14175.04784375
transcript.pyannote[3474].speaker SPEAKER_31
transcript.pyannote[3474].start 14175.57096875
transcript.pyannote[3474].end 14176.80284375
transcript.pyannote[3475].speaker SPEAKER_31
transcript.pyannote[3475].start 14177.30909375
transcript.pyannote[3475].end 14178.40596875
transcript.pyannote[3476].speaker SPEAKER_31
transcript.pyannote[3476].start 14179.38471875
transcript.pyannote[3476].end 14179.90784375
transcript.pyannote[3477].speaker SPEAKER_31
transcript.pyannote[3477].start 14180.56596875
transcript.pyannote[3477].end 14181.56159375
transcript.pyannote[3478].speaker SPEAKER_31
transcript.pyannote[3478].start 14182.03409375
transcript.pyannote[3478].end 14188.19346875
transcript.pyannote[3479].speaker SPEAKER_31
transcript.pyannote[3479].start 14189.17221875
transcript.pyannote[3479].end 14197.98096875
transcript.pyannote[3480].speaker SPEAKER_31
transcript.pyannote[3480].start 14199.49971875
transcript.pyannote[3480].end 14200.47846875
transcript.pyannote[3481].speaker SPEAKER_31
transcript.pyannote[3481].start 14200.91721875
transcript.pyannote[3481].end 14202.57096875
transcript.pyannote[3482].speaker SPEAKER_31
transcript.pyannote[3482].start 14203.34721875
transcript.pyannote[3482].end 14203.75221875
transcript.pyannote[3483].speaker SPEAKER_31
transcript.pyannote[3483].start 14204.15721875
transcript.pyannote[3483].end 14209.82721875
transcript.pyannote[3484].speaker SPEAKER_31
transcript.pyannote[3484].start 14210.63721875
transcript.pyannote[3484].end 14211.32909375
transcript.pyannote[3485].speaker SPEAKER_31
transcript.pyannote[3485].start 14212.24034375
transcript.pyannote[3485].end 14213.82659375
transcript.pyannote[3486].speaker SPEAKER_31
transcript.pyannote[3486].start 14215.15971875
transcript.pyannote[3486].end 14216.94846875
transcript.pyannote[3487].speaker SPEAKER_31
transcript.pyannote[3487].start 14219.54721875
transcript.pyannote[3487].end 14220.30659375
transcript.pyannote[3488].speaker SPEAKER_22
transcript.pyannote[3488].start 14220.30659375
transcript.pyannote[3488].end 14221.97721875
transcript.pyannote[3489].speaker SPEAKER_31
transcript.pyannote[3489].start 14221.97721875
transcript.pyannote[3489].end 14227.44471875
transcript.pyannote[3490].speaker SPEAKER_22
transcript.pyannote[3490].start 14224.10346875
transcript.pyannote[3490].end 14225.21721875
transcript.pyannote[3491].speaker SPEAKER_31
transcript.pyannote[3491].start 14228.42346875
transcript.pyannote[3491].end 14236.11846875
transcript.pyannote[3492].speaker SPEAKER_31
transcript.pyannote[3492].start 14236.96221875
transcript.pyannote[3492].end 14239.99971875
transcript.pyannote[3493].speaker SPEAKER_31
transcript.pyannote[3493].start 14240.60721875
transcript.pyannote[3493].end 14241.43409375
transcript.pyannote[3494].speaker SPEAKER_31
transcript.pyannote[3494].start 14242.00784375
transcript.pyannote[3494].end 14242.64909375
transcript.pyannote[3495].speaker SPEAKER_31
transcript.pyannote[3495].start 14243.18909375
transcript.pyannote[3495].end 14244.38721875
transcript.pyannote[3496].speaker SPEAKER_31
transcript.pyannote[3496].start 14245.19721875
transcript.pyannote[3496].end 14246.17596875
transcript.pyannote[3497].speaker SPEAKER_31
transcript.pyannote[3497].start 14246.95221875
transcript.pyannote[3497].end 14248.72409375
transcript.pyannote[3498].speaker SPEAKER_31
transcript.pyannote[3498].start 14249.29784375
transcript.pyannote[3498].end 14255.92971875
transcript.pyannote[3499].speaker SPEAKER_31
transcript.pyannote[3499].start 14256.63846875
transcript.pyannote[3499].end 14260.13159375
transcript.pyannote[3500].speaker SPEAKER_31
transcript.pyannote[3500].start 14260.38471875
transcript.pyannote[3500].end 14262.54471875
transcript.pyannote[3501].speaker SPEAKER_31
transcript.pyannote[3501].start 14263.60784375
transcript.pyannote[3501].end 14268.24846875
transcript.pyannote[3502].speaker SPEAKER_31
transcript.pyannote[3502].start 14269.14284375
transcript.pyannote[3502].end 14271.31971875
transcript.pyannote[3503].speaker SPEAKER_31
transcript.pyannote[3503].start 14271.50534375
transcript.pyannote[3503].end 14274.98159375
transcript.pyannote[3504].speaker SPEAKER_31
transcript.pyannote[3504].start 14275.31909375
transcript.pyannote[3504].end 14277.10784375
transcript.pyannote[3505].speaker SPEAKER_31
transcript.pyannote[3505].start 14277.22596875
transcript.pyannote[3505].end 14281.10721875
transcript.pyannote[3506].speaker SPEAKER_31
transcript.pyannote[3506].start 14281.24221875
transcript.pyannote[3506].end 14281.83284375
transcript.pyannote[3507].speaker SPEAKER_31
transcript.pyannote[3507].start 14282.45721875
transcript.pyannote[3507].end 14293.34159375
transcript.pyannote[3508].speaker SPEAKER_31
transcript.pyannote[3508].start 14293.72971875
transcript.pyannote[3508].end 14299.93971875
transcript.pyannote[3509].speaker SPEAKER_31
transcript.pyannote[3509].start 14300.96909375
transcript.pyannote[3509].end 14307.17909375
transcript.pyannote[3510].speaker SPEAKER_31
transcript.pyannote[3510].start 14307.92159375
transcript.pyannote[3510].end 14311.31346875
transcript.pyannote[3511].speaker SPEAKER_31
transcript.pyannote[3511].start 14311.90409375
transcript.pyannote[3511].end 14322.65346875
transcript.pyannote[3512].speaker SPEAKER_31
transcript.pyannote[3512].start 14323.02471875
transcript.pyannote[3512].end 14324.56034375
transcript.pyannote[3513].speaker SPEAKER_31
transcript.pyannote[3513].start 14325.03284375
transcript.pyannote[3513].end 14329.36971875
transcript.pyannote[3514].speaker SPEAKER_31
transcript.pyannote[3514].start 14330.60159375
transcript.pyannote[3514].end 14333.77409375
transcript.pyannote[3515].speaker SPEAKER_31
transcript.pyannote[3515].start 14334.31409375
transcript.pyannote[3515].end 14341.24971875
transcript.pyannote[3516].speaker SPEAKER_31
transcript.pyannote[3516].start 14341.82346875
transcript.pyannote[3516].end 14350.41284375
transcript.pyannote[3517].speaker SPEAKER_31
transcript.pyannote[3517].start 14350.54784375
transcript.pyannote[3517].end 14351.96534375
transcript.pyannote[3518].speaker SPEAKER_31
transcript.pyannote[3518].start 14352.99471875
transcript.pyannote[3518].end 14355.35721875
transcript.pyannote[3519].speaker SPEAKER_30
transcript.pyannote[3519].start 14353.18034375
transcript.pyannote[3519].end 14353.23096875
transcript.pyannote[3520].speaker SPEAKER_22
transcript.pyannote[3520].start 14353.23096875
transcript.pyannote[3520].end 14354.07471875
transcript.pyannote[3521].speaker SPEAKER_22
transcript.pyannote[3521].start 14354.09159375
transcript.pyannote[3521].end 14354.98596875
transcript.pyannote[3522].speaker SPEAKER_31
transcript.pyannote[3522].start 14355.84659375
transcript.pyannote[3522].end 14358.00659375
transcript.pyannote[3523].speaker SPEAKER_31
transcript.pyannote[3523].start 14358.90096875
transcript.pyannote[3523].end 14360.09909375
transcript.pyannote[3524].speaker SPEAKER_31
transcript.pyannote[3524].start 14360.21721875
transcript.pyannote[3524].end 14374.40909375
transcript.pyannote[3525].speaker SPEAKER_31
transcript.pyannote[3525].start 14374.44284375
transcript.pyannote[3525].end 14375.26971875
transcript.pyannote[3526].speaker SPEAKER_22
transcript.pyannote[3526].start 14376.65346875
transcript.pyannote[3526].end 14387.01471875
transcript.pyannote[3527].speaker SPEAKER_31
transcript.pyannote[3527].start 14376.70409375
transcript.pyannote[3527].end 14377.10909375
transcript.pyannote[3528].speaker SPEAKER_31
transcript.pyannote[3528].start 14382.34034375
transcript.pyannote[3528].end 14389.91721875
transcript.pyannote[3529].speaker SPEAKER_31
transcript.pyannote[3529].start 14390.23784375
transcript.pyannote[3529].end 14393.03909375
transcript.pyannote[3530].speaker SPEAKER_31
transcript.pyannote[3530].start 14394.03471875
transcript.pyannote[3530].end 14399.65409375
transcript.pyannote[3531].speaker SPEAKER_22
transcript.pyannote[3531].start 14397.79784375
transcript.pyannote[3531].end 14402.13471875
transcript.pyannote[3532].speaker SPEAKER_31
transcript.pyannote[3532].start 14400.36284375
transcript.pyannote[3532].end 14402.15159375
transcript.pyannote[3533].speaker SPEAKER_31
transcript.pyannote[3533].start 14402.50596875
transcript.pyannote[3533].end 14408.46284375
transcript.pyannote[3534].speaker SPEAKER_22
transcript.pyannote[3534].start 14402.53971875
transcript.pyannote[3534].end 14403.77159375
transcript.pyannote[3535].speaker SPEAKER_31
transcript.pyannote[3535].start 14409.59346875
transcript.pyannote[3535].end 14410.67346875
transcript.pyannote[3536].speaker SPEAKER_31
transcript.pyannote[3536].start 14411.77034375
transcript.pyannote[3536].end 14412.93471875
transcript.pyannote[3537].speaker SPEAKER_22
transcript.pyannote[3537].start 14412.93471875
transcript.pyannote[3537].end 14412.95159375
transcript.pyannote[3538].speaker SPEAKER_31
transcript.pyannote[3538].start 14413.25534375
transcript.pyannote[3538].end 14413.27221875
transcript.pyannote[3539].speaker SPEAKER_22
transcript.pyannote[3539].start 14413.27221875
transcript.pyannote[3539].end 14413.28909375
transcript.pyannote[3540].speaker SPEAKER_31
transcript.pyannote[3540].start 14413.28909375
transcript.pyannote[3540].end 14413.30596875
transcript.pyannote[3541].speaker SPEAKER_22
transcript.pyannote[3541].start 14413.30596875
transcript.pyannote[3541].end 14424.17346875
transcript.pyannote[3542].speaker SPEAKER_31
transcript.pyannote[3542].start 14414.40284375
transcript.pyannote[3542].end 14416.19159375
transcript.pyannote[3543].speaker SPEAKER_31
transcript.pyannote[3543].start 14416.56284375
transcript.pyannote[3543].end 14420.98409375
transcript.pyannote[3544].speaker SPEAKER_31
transcript.pyannote[3544].start 14421.42284375
transcript.pyannote[3544].end 14424.30846875
transcript.pyannote[3545].speaker SPEAKER_31
transcript.pyannote[3545].start 14424.88221875
transcript.pyannote[3545].end 14428.67909375
transcript.pyannote[3546].speaker SPEAKER_31
transcript.pyannote[3546].start 14429.38784375
transcript.pyannote[3546].end 14431.48034375
transcript.pyannote[3547].speaker SPEAKER_22
transcript.pyannote[3547].start 14432.84721875
transcript.pyannote[3547].end 14437.43721875
transcript.pyannote[3548].speaker SPEAKER_31
transcript.pyannote[3548].start 14436.96471875
transcript.pyannote[3548].end 14438.97284375
transcript.pyannote[3549].speaker SPEAKER_22
transcript.pyannote[3549].start 14437.65659375
transcript.pyannote[3549].end 14441.48721875
transcript.pyannote[3550].speaker SPEAKER_31
transcript.pyannote[3550].start 14441.75721875
transcript.pyannote[3550].end 14449.06409375
transcript.pyannote[3551].speaker SPEAKER_31
transcript.pyannote[3551].start 14449.58721875
transcript.pyannote[3551].end 14457.07971875
transcript.pyannote[3552].speaker SPEAKER_31
transcript.pyannote[3552].start 14457.73784375
transcript.pyannote[3552].end 14463.03659375
transcript.pyannote[3553].speaker SPEAKER_22
transcript.pyannote[3553].start 14459.96534375
transcript.pyannote[3553].end 14460.48846875
transcript.pyannote[3554].speaker SPEAKER_22
transcript.pyannote[3554].start 14461.04534375
transcript.pyannote[3554].end 14461.48409375
transcript.pyannote[3555].speaker SPEAKER_31
transcript.pyannote[3555].start 14463.37409375
transcript.pyannote[3555].end 14471.79471875
transcript.pyannote[3556].speaker SPEAKER_22
transcript.pyannote[3556].start 14465.23034375
transcript.pyannote[3556].end 14465.75346875
transcript.pyannote[3557].speaker SPEAKER_22
transcript.pyannote[3557].start 14469.87096875
transcript.pyannote[3557].end 14476.45221875
transcript.pyannote[3558].speaker SPEAKER_31
transcript.pyannote[3558].start 14472.50346875
transcript.pyannote[3558].end 14479.99596875
transcript.pyannote[3559].speaker SPEAKER_22
transcript.pyannote[3559].start 14476.97534375
transcript.pyannote[3559].end 14497.47846875
transcript.pyannote[3560].speaker SPEAKER_31
transcript.pyannote[3560].start 14481.43034375
transcript.pyannote[3560].end 14487.64034375
transcript.pyannote[3561].speaker SPEAKER_31
transcript.pyannote[3561].start 14489.44596875
transcript.pyannote[3561].end 14489.91846875
transcript.pyannote[3562].speaker SPEAKER_31
transcript.pyannote[3562].start 14491.53846875
transcript.pyannote[3562].end 14497.59659375
transcript.pyannote[3563].speaker SPEAKER_31
transcript.pyannote[3563].start 14497.66409375
transcript.pyannote[3563].end 14500.46534375
transcript.pyannote[3564].speaker SPEAKER_31
transcript.pyannote[3564].start 14501.66346875
transcript.pyannote[3564].end 14503.33409375
transcript.pyannote[3565].speaker SPEAKER_31
transcript.pyannote[3565].start 14503.99221875
transcript.pyannote[3565].end 14506.25346875
transcript.pyannote[3566].speaker SPEAKER_22
transcript.pyannote[3566].start 14507.83971875
transcript.pyannote[3566].end 14510.15159375
transcript.pyannote[3567].speaker SPEAKER_31
transcript.pyannote[3567].start 14509.54409375
transcript.pyannote[3567].end 14515.56846875
transcript.pyannote[3568].speaker SPEAKER_31
transcript.pyannote[3568].start 14515.90596875
transcript.pyannote[3568].end 14518.72409375
transcript.pyannote[3569].speaker SPEAKER_31
transcript.pyannote[3569].start 14519.26409375
transcript.pyannote[3569].end 14520.09096875
transcript.pyannote[3570].speaker SPEAKER_42
transcript.pyannote[3570].start 14520.09096875
transcript.pyannote[3570].end 14520.10784375
transcript.pyannote[3571].speaker SPEAKER_22
transcript.pyannote[3571].start 14520.10784375
transcript.pyannote[3571].end 14520.71534375
transcript.pyannote[3572].speaker SPEAKER_17
transcript.pyannote[3572].start 14526.11534375
transcript.pyannote[3572].end 14527.41471875
transcript.pyannote[3573].speaker SPEAKER_17
transcript.pyannote[3573].start 14527.80284375
transcript.pyannote[3573].end 14530.19909375
transcript.pyannote[3574].speaker SPEAKER_17
transcript.pyannote[3574].start 14530.84034375
transcript.pyannote[3574].end 14531.81909375
transcript.pyannote[3575].speaker SPEAKER_17
transcript.pyannote[3575].start 14531.92034375
transcript.pyannote[3575].end 14532.42659375
transcript.pyannote[3576].speaker SPEAKER_17
transcript.pyannote[3576].start 14532.81471875
transcript.pyannote[3576].end 14533.47284375
transcript.pyannote[3577].speaker SPEAKER_17
transcript.pyannote[3577].start 14533.62471875
transcript.pyannote[3577].end 14537.18534375
transcript.pyannote[3578].speaker SPEAKER_40
transcript.pyannote[3578].start 14537.18534375
transcript.pyannote[3578].end 14537.47221875
transcript.pyannote[3579].speaker SPEAKER_17
transcript.pyannote[3579].start 14538.94034375
transcript.pyannote[3579].end 14540.66159375
transcript.pyannote[3580].speaker SPEAKER_30
transcript.pyannote[3580].start 14549.82471875
transcript.pyannote[3580].end 14553.26721875
transcript.pyannote[3581].speaker SPEAKER_17
transcript.pyannote[3581].start 14553.55409375
transcript.pyannote[3581].end 14554.26284375
transcript.pyannote[3582].speaker SPEAKER_30
transcript.pyannote[3582].start 14556.57471875
transcript.pyannote[3582].end 14557.48596875
transcript.pyannote[3583].speaker SPEAKER_17
transcript.pyannote[3583].start 14558.54909375
transcript.pyannote[3583].end 14559.47721875
transcript.pyannote[3584].speaker SPEAKER_30
transcript.pyannote[3584].start 14561.78909375
transcript.pyannote[3584].end 14562.26159375
transcript.pyannote[3585].speaker SPEAKER_30
transcript.pyannote[3585].start 14562.95346875
transcript.pyannote[3585].end 14563.66221875
transcript.pyannote[3586].speaker SPEAKER_30
transcript.pyannote[3586].start 14564.53971875
transcript.pyannote[3586].end 14565.41721875
transcript.pyannote[3587].speaker SPEAKER_30
transcript.pyannote[3587].start 14565.99096875
transcript.pyannote[3587].end 14570.26034375
transcript.pyannote[3588].speaker SPEAKER_30
transcript.pyannote[3588].start 14570.78346875
transcript.pyannote[3588].end 14573.85471875
transcript.pyannote[3589].speaker SPEAKER_30
transcript.pyannote[3589].start 14574.12471875
transcript.pyannote[3589].end 14579.42346875
transcript.pyannote[3590].speaker SPEAKER_30
transcript.pyannote[3590].start 14579.64284375
transcript.pyannote[3590].end 14585.16096875
transcript.pyannote[3591].speaker SPEAKER_30
transcript.pyannote[3591].start 14585.31284375
transcript.pyannote[3591].end 14587.03409375
transcript.pyannote[3592].speaker SPEAKER_30
transcript.pyannote[3592].start 14588.28284375
transcript.pyannote[3592].end 14589.10971875
transcript.pyannote[3593].speaker SPEAKER_30
transcript.pyannote[3593].start 14589.73409375
transcript.pyannote[3593].end 14593.41284375
transcript.pyannote[3594].speaker SPEAKER_30
transcript.pyannote[3594].start 14593.59846875
transcript.pyannote[3594].end 14594.15534375
transcript.pyannote[3595].speaker SPEAKER_30
transcript.pyannote[3595].start 14594.40846875
transcript.pyannote[3595].end 14600.24721875
transcript.pyannote[3596].speaker SPEAKER_30
transcript.pyannote[3596].start 14600.82096875
transcript.pyannote[3596].end 14607.06471875
transcript.pyannote[3597].speaker SPEAKER_30
transcript.pyannote[3597].start 14607.40221875
transcript.pyannote[3597].end 14608.73534375
transcript.pyannote[3598].speaker SPEAKER_22
transcript.pyannote[3598].start 14609.12346875
transcript.pyannote[3598].end 14613.66284375
transcript.pyannote[3599].speaker SPEAKER_22
transcript.pyannote[3599].start 14614.08471875
transcript.pyannote[3599].end 14619.58596875
transcript.pyannote[3600].speaker SPEAKER_22
transcript.pyannote[3600].start 14619.85596875
transcript.pyannote[3600].end 14620.71659375
transcript.pyannote[3601].speaker SPEAKER_22
transcript.pyannote[3601].start 14621.30721875
transcript.pyannote[3601].end 14622.99471875
transcript.pyannote[3602].speaker SPEAKER_22
transcript.pyannote[3602].start 14623.01159375
transcript.pyannote[3602].end 14625.77909375
transcript.pyannote[3603].speaker SPEAKER_39
transcript.pyannote[3603].start 14623.12971875
transcript.pyannote[3603].end 14623.56846875
transcript.pyannote[3604].speaker SPEAKER_39
transcript.pyannote[3604].start 14626.38659375
transcript.pyannote[3604].end 14626.72409375
transcript.pyannote[3605].speaker SPEAKER_22
transcript.pyannote[3605].start 14626.72409375
transcript.pyannote[3605].end 14634.82409375
transcript.pyannote[3606].speaker SPEAKER_22
transcript.pyannote[3606].start 14635.19534375
transcript.pyannote[3606].end 14636.68034375
transcript.pyannote[3607].speaker SPEAKER_22
transcript.pyannote[3607].start 14636.89971875
transcript.pyannote[3607].end 14643.70034375
transcript.pyannote[3608].speaker SPEAKER_30
transcript.pyannote[3608].start 14642.77221875
transcript.pyannote[3608].end 14644.03784375
transcript.pyannote[3609].speaker SPEAKER_22
transcript.pyannote[3609].start 14644.03784375
transcript.pyannote[3609].end 14663.86596875
transcript.pyannote[3610].speaker SPEAKER_30
transcript.pyannote[3610].start 14644.15596875
transcript.pyannote[3610].end 14645.69159375
transcript.pyannote[3611].speaker SPEAKER_30
transcript.pyannote[3611].start 14645.84346875
transcript.pyannote[3611].end 14646.97409375
transcript.pyannote[3612].speaker SPEAKER_30
transcript.pyannote[3612].start 14649.15096875
transcript.pyannote[3612].end 14649.26909375
transcript.pyannote[3613].speaker SPEAKER_00
transcript.pyannote[3613].start 14649.26909375
transcript.pyannote[3613].end 14649.38721875
transcript.pyannote[3614].speaker SPEAKER_30
transcript.pyannote[3614].start 14657.60534375
transcript.pyannote[3614].end 14662.56659375
transcript.pyannote[3615].speaker SPEAKER_30
transcript.pyannote[3615].start 14663.54534375
transcript.pyannote[3615].end 14666.32971875
transcript.pyannote[3616].speaker SPEAKER_22
transcript.pyannote[3616].start 14665.85721875
transcript.pyannote[3616].end 14677.88909375
transcript.pyannote[3617].speaker SPEAKER_30
transcript.pyannote[3617].start 14666.75159375
transcript.pyannote[3617].end 14669.13096875
transcript.pyannote[3618].speaker SPEAKER_30
transcript.pyannote[3618].start 14671.08846875
transcript.pyannote[3618].end 14671.12221875
transcript.pyannote[3619].speaker SPEAKER_30
transcript.pyannote[3619].start 14671.13909375
transcript.pyannote[3619].end 14671.44284375
transcript.pyannote[3620].speaker SPEAKER_30
transcript.pyannote[3620].start 14673.43409375
transcript.pyannote[3620].end 14674.56471875
transcript.pyannote[3621].speaker SPEAKER_30
transcript.pyannote[3621].start 14677.88909375
transcript.pyannote[3621].end 14677.92284375
transcript.pyannote[3622].speaker SPEAKER_22
transcript.pyannote[3622].start 14677.92284375
transcript.pyannote[3622].end 14677.97346875
transcript.pyannote[3623].speaker SPEAKER_22
transcript.pyannote[3623].start 14678.32784375
transcript.pyannote[3623].end 14678.37846875
transcript.pyannote[3624].speaker SPEAKER_30
transcript.pyannote[3624].start 14678.37846875
transcript.pyannote[3624].end 14683.84596875
transcript.pyannote[3625].speaker SPEAKER_30
transcript.pyannote[3625].start 14684.47034375
transcript.pyannote[3625].end 14687.30534375
transcript.pyannote[3626].speaker SPEAKER_30
transcript.pyannote[3626].start 14687.37284375
transcript.pyannote[3626].end 14688.60471875
transcript.pyannote[3627].speaker SPEAKER_22
transcript.pyannote[3627].start 14688.06471875
transcript.pyannote[3627].end 14688.57096875
transcript.pyannote[3628].speaker SPEAKER_22
transcript.pyannote[3628].start 14688.60471875
transcript.pyannote[3628].end 14688.68909375
transcript.pyannote[3629].speaker SPEAKER_30
transcript.pyannote[3629].start 14688.68909375
transcript.pyannote[3629].end 14688.72284375
transcript.pyannote[3630].speaker SPEAKER_33
transcript.pyannote[3630].start 14688.72284375
transcript.pyannote[3630].end 14688.73971875
transcript.pyannote[3631].speaker SPEAKER_22
transcript.pyannote[3631].start 14688.73971875
transcript.pyannote[3631].end 14688.80721875
transcript.pyannote[3632].speaker SPEAKER_33
transcript.pyannote[3632].start 14688.80721875
transcript.pyannote[3632].end 14689.12784375
transcript.pyannote[3633].speaker SPEAKER_30
transcript.pyannote[3633].start 14689.12784375
transcript.pyannote[3633].end 14698.64534375
transcript.pyannote[3634].speaker SPEAKER_33
transcript.pyannote[3634].start 14689.16159375
transcript.pyannote[3634].end 14689.97159375
transcript.pyannote[3635].speaker SPEAKER_22
transcript.pyannote[3635].start 14689.97159375
transcript.pyannote[3635].end 14690.96721875
transcript.pyannote[3636].speaker SPEAKER_33
transcript.pyannote[3636].start 14690.96721875
transcript.pyannote[3636].end 14691.28784375
transcript.pyannote[3637].speaker SPEAKER_22
transcript.pyannote[3637].start 14691.28784375
transcript.pyannote[3637].end 14691.43971875
transcript.pyannote[3638].speaker SPEAKER_19
transcript.pyannote[3638].start 14691.43971875
transcript.pyannote[3638].end 14691.45659375
transcript.pyannote[3639].speaker SPEAKER_30
transcript.pyannote[3639].start 14699.20221875
transcript.pyannote[3639].end 14702.91471875
transcript.pyannote[3640].speaker SPEAKER_30
transcript.pyannote[3640].start 14703.35346875
transcript.pyannote[3640].end 14734.82534375
transcript.pyannote[3641].speaker SPEAKER_30
transcript.pyannote[3641].start 14735.09534375
transcript.pyannote[3641].end 14743.16159375
transcript.pyannote[3642].speaker SPEAKER_06
transcript.pyannote[3642].start 14740.17471875
transcript.pyannote[3642].end 14741.15346875
transcript.pyannote[3643].speaker SPEAKER_30
transcript.pyannote[3643].start 14743.21221875
transcript.pyannote[3643].end 14777.23221875
transcript.pyannote[3644].speaker SPEAKER_22
transcript.pyannote[3644].start 14747.11034375
transcript.pyannote[3644].end 14747.73471875
transcript.pyannote[3645].speaker SPEAKER_22
transcript.pyannote[3645].start 14751.14346875
transcript.pyannote[3645].end 14751.86909375
transcript.pyannote[3646].speaker SPEAKER_00
transcript.pyannote[3646].start 14759.02409375
transcript.pyannote[3646].end 14759.05784375
transcript.pyannote[3647].speaker SPEAKER_40
transcript.pyannote[3647].start 14759.05784375
transcript.pyannote[3647].end 14759.26034375
transcript.pyannote[3648].speaker SPEAKER_00
transcript.pyannote[3648].start 14759.26034375
transcript.pyannote[3648].end 14759.37846875
transcript.pyannote[3649].speaker SPEAKER_40
transcript.pyannote[3649].start 14762.17971875
transcript.pyannote[3649].end 14762.51721875
transcript.pyannote[3650].speaker SPEAKER_04
transcript.pyannote[3650].start 14762.51721875
transcript.pyannote[3650].end 14762.55096875
transcript.pyannote[3651].speaker SPEAKER_30
transcript.pyannote[3651].start 14777.45159375
transcript.pyannote[3651].end 14780.30346875
transcript.pyannote[3652].speaker SPEAKER_30
transcript.pyannote[3652].start 14780.53971875
transcript.pyannote[3652].end 14790.46221875
transcript.pyannote[3653].speaker SPEAKER_30
transcript.pyannote[3653].start 14790.96846875
transcript.pyannote[3653].end 14792.82471875
transcript.pyannote[3654].speaker SPEAKER_30
transcript.pyannote[3654].start 14792.84159375
transcript.pyannote[3654].end 14796.09846875
transcript.pyannote[3655].speaker SPEAKER_30
transcript.pyannote[3655].start 14796.28409375
transcript.pyannote[3655].end 14805.29534375
transcript.pyannote[3656].speaker SPEAKER_30
transcript.pyannote[3656].start 14806.05471875
transcript.pyannote[3656].end 14809.93596875
transcript.pyannote[3657].speaker SPEAKER_30
transcript.pyannote[3657].start 14810.22284375
transcript.pyannote[3657].end 14815.33596875
transcript.pyannote[3658].speaker SPEAKER_30
transcript.pyannote[3658].start 14815.94346875
transcript.pyannote[3658].end 14817.05721875
transcript.pyannote[3659].speaker SPEAKER_30
transcript.pyannote[3659].start 14817.31034375
transcript.pyannote[3659].end 14820.48284375
transcript.pyannote[3660].speaker SPEAKER_30
transcript.pyannote[3660].start 14821.24221875
transcript.pyannote[3660].end 14823.73971875
transcript.pyannote[3661].speaker SPEAKER_30
transcript.pyannote[3661].start 14824.07721875
transcript.pyannote[3661].end 14827.23284375
transcript.pyannote[3662].speaker SPEAKER_30
transcript.pyannote[3662].start 14827.57034375
transcript.pyannote[3662].end 14838.28596875
transcript.pyannote[3663].speaker SPEAKER_39
transcript.pyannote[3663].start 14838.31971875
transcript.pyannote[3663].end 14838.64034375
transcript.pyannote[3664].speaker SPEAKER_30
transcript.pyannote[3664].start 14838.96096875
transcript.pyannote[3664].end 14865.97784375
transcript.pyannote[3665].speaker SPEAKER_30
transcript.pyannote[3665].start 14866.38284375
transcript.pyannote[3665].end 14873.63909375
transcript.pyannote[3666].speaker SPEAKER_22
transcript.pyannote[3666].start 14872.86284375
transcript.pyannote[3666].end 14902.73159375
transcript.pyannote[3667].speaker SPEAKER_22
transcript.pyannote[3667].start 14903.20409375
transcript.pyannote[3667].end 14909.93721875
transcript.pyannote[3668].speaker SPEAKER_22
transcript.pyannote[3668].start 14910.20721875
transcript.pyannote[3668].end 14915.03346875
transcript.pyannote[3669].speaker SPEAKER_30
transcript.pyannote[3669].start 14913.90284375
transcript.pyannote[3669].end 14919.03284375
transcript.pyannote[3670].speaker SPEAKER_22
transcript.pyannote[3670].start 14917.21034375
transcript.pyannote[3670].end 14917.37909375
transcript.pyannote[3671].speaker SPEAKER_22
transcript.pyannote[3671].start 14917.90221875
transcript.pyannote[3671].end 14921.15909375
transcript.pyannote[3672].speaker SPEAKER_30
transcript.pyannote[3672].start 14919.94409375
transcript.pyannote[3672].end 14929.91721875
transcript.pyannote[3673].speaker SPEAKER_22
transcript.pyannote[3673].start 14924.90534375
transcript.pyannote[3673].end 14926.45784375
transcript.pyannote[3674].speaker SPEAKER_30
transcript.pyannote[3674].start 14930.32221875
transcript.pyannote[3674].end 14936.29596875
transcript.pyannote[3675].speaker SPEAKER_30
transcript.pyannote[3675].start 14936.86971875
transcript.pyannote[3675].end 14938.99596875
transcript.pyannote[3676].speaker SPEAKER_30
transcript.pyannote[3676].start 14939.16471875
transcript.pyannote[3676].end 14940.68346875
transcript.pyannote[3677].speaker SPEAKER_30
transcript.pyannote[3677].start 14941.69596875
transcript.pyannote[3677].end 14942.26971875
transcript.pyannote[3678].speaker SPEAKER_30
transcript.pyannote[3678].start 14943.16409375
transcript.pyannote[3678].end 14944.66596875
transcript.pyannote[3679].speaker SPEAKER_22
transcript.pyannote[3679].start 14944.36221875
transcript.pyannote[3679].end 14945.15534375
transcript.pyannote[3680].speaker SPEAKER_30
transcript.pyannote[3680].start 14945.10471875
transcript.pyannote[3680].end 14949.17159375
transcript.pyannote[3681].speaker SPEAKER_30
transcript.pyannote[3681].start 14949.32346875
transcript.pyannote[3681].end 14953.03596875
transcript.pyannote[3682].speaker SPEAKER_30
transcript.pyannote[3682].start 14953.33971875
transcript.pyannote[3682].end 14982.29721875
transcript.pyannote[3683].speaker SPEAKER_22
transcript.pyannote[3683].start 14982.29721875
transcript.pyannote[3683].end 14990.92034375
transcript.pyannote[3684].speaker SPEAKER_22
transcript.pyannote[3684].start 14991.49409375
transcript.pyannote[3684].end 14996.45534375
transcript.pyannote[3685].speaker SPEAKER_22
transcript.pyannote[3685].start 14997.06284375
transcript.pyannote[3685].end 14998.36221875
transcript.pyannote[3686].speaker SPEAKER_22
transcript.pyannote[3686].start 14998.53096875
transcript.pyannote[3686].end 14999.59409375
transcript.pyannote[3687].speaker SPEAKER_22
transcript.pyannote[3687].start 15000.15096875
transcript.pyannote[3687].end 15001.92284375
transcript.pyannote[3688].speaker SPEAKER_22
transcript.pyannote[3688].start 15001.95659375
transcript.pyannote[3688].end 15007.86284375
transcript.pyannote[3689].speaker SPEAKER_22
transcript.pyannote[3689].start 15008.21721875
transcript.pyannote[3689].end 15011.30534375
transcript.pyannote[3690].speaker SPEAKER_22
transcript.pyannote[3690].start 15012.03096875
transcript.pyannote[3690].end 15012.45284375
transcript.pyannote[3691].speaker SPEAKER_22
transcript.pyannote[3691].start 15013.70159375
transcript.pyannote[3691].end 15014.32596875
transcript.pyannote[3692].speaker SPEAKER_22
transcript.pyannote[3692].start 15015.43971875
transcript.pyannote[3692].end 15018.62909375
transcript.pyannote[3693].speaker SPEAKER_30
transcript.pyannote[3693].start 15015.49034375
transcript.pyannote[3693].end 15016.04721875
transcript.pyannote[3694].speaker SPEAKER_00
transcript.pyannote[3694].start 15017.31284375
transcript.pyannote[3694].end 15018.30846875
transcript.pyannote[3695].speaker SPEAKER_22
transcript.pyannote[3695].start 15019.10159375
transcript.pyannote[3695].end 15022.74659375
transcript.pyannote[3696].speaker SPEAKER_22
transcript.pyannote[3696].start 15022.96596875
transcript.pyannote[3696].end 15025.12596875
transcript.pyannote[3697].speaker SPEAKER_22
transcript.pyannote[3697].start 15025.49721875
transcript.pyannote[3697].end 15037.05659375
transcript.pyannote[3698].speaker SPEAKER_22
transcript.pyannote[3698].start 15037.39409375
transcript.pyannote[3698].end 15042.18659375
transcript.pyannote[3699].speaker SPEAKER_30
transcript.pyannote[3699].start 15042.18659375
transcript.pyannote[3699].end 15056.78346875
transcript.pyannote[3700].speaker SPEAKER_22
transcript.pyannote[3700].start 15050.43846875
transcript.pyannote[3700].end 15051.09659375
transcript.pyannote[3701].speaker SPEAKER_22
transcript.pyannote[3701].start 15054.82596875
transcript.pyannote[3701].end 15058.38659375
transcript.pyannote[3702].speaker SPEAKER_30
transcript.pyannote[3702].start 15057.71159375
transcript.pyannote[3702].end 15062.53784375
transcript.pyannote[3703].speaker SPEAKER_22
transcript.pyannote[3703].start 15061.00221875
transcript.pyannote[3703].end 15064.34346875
transcript.pyannote[3704].speaker SPEAKER_30
transcript.pyannote[3704].start 15063.31409375
transcript.pyannote[3704].end 15064.09034375
transcript.pyannote[3705].speaker SPEAKER_30
transcript.pyannote[3705].start 15064.32659375
transcript.pyannote[3705].end 15070.03034375
transcript.pyannote[3706].speaker SPEAKER_30
transcript.pyannote[3706].start 15070.14846875
transcript.pyannote[3706].end 15071.83596875
transcript.pyannote[3707].speaker SPEAKER_30
transcript.pyannote[3707].start 15072.22409375
transcript.pyannote[3707].end 15073.91159375
transcript.pyannote[3708].speaker SPEAKER_30
transcript.pyannote[3708].start 15074.55284375
transcript.pyannote[3708].end 15078.77159375
transcript.pyannote[3709].speaker SPEAKER_30
transcript.pyannote[3709].start 15079.24409375
transcript.pyannote[3709].end 15081.38721875
transcript.pyannote[3710].speaker SPEAKER_30
transcript.pyannote[3710].start 15081.58971875
transcript.pyannote[3710].end 15086.33159375
transcript.pyannote[3711].speaker SPEAKER_30
transcript.pyannote[3711].start 15086.97284375
transcript.pyannote[3711].end 15091.61346875
transcript.pyannote[3712].speaker SPEAKER_30
transcript.pyannote[3712].start 15092.44034375
transcript.pyannote[3712].end 15096.67596875
transcript.pyannote[3713].speaker SPEAKER_30
transcript.pyannote[3713].start 15096.77721875
transcript.pyannote[3713].end 15099.67971875
transcript.pyannote[3714].speaker SPEAKER_30
transcript.pyannote[3714].start 15099.98346875
transcript.pyannote[3714].end 15102.36284375
transcript.pyannote[3715].speaker SPEAKER_30
transcript.pyannote[3715].start 15102.48096875
transcript.pyannote[3715].end 15117.90471875
transcript.pyannote[3716].speaker SPEAKER_30
transcript.pyannote[3716].start 15118.74846875
transcript.pyannote[3716].end 15119.82846875
transcript.pyannote[3717].speaker SPEAKER_30
transcript.pyannote[3717].start 15119.94659375
transcript.pyannote[3717].end 15123.42284375
transcript.pyannote[3718].speaker SPEAKER_30
transcript.pyannote[3718].start 15123.82784375
transcript.pyannote[3718].end 15128.36721875
transcript.pyannote[3719].speaker SPEAKER_30
transcript.pyannote[3719].start 15128.87346875
transcript.pyannote[3719].end 15129.29534375
transcript.pyannote[3720].speaker SPEAKER_22
transcript.pyannote[3720].start 15129.29534375
transcript.pyannote[3720].end 15130.40909375
transcript.pyannote[3721].speaker SPEAKER_30
transcript.pyannote[3721].start 15130.40909375
transcript.pyannote[3721].end 15131.01659375
transcript.pyannote[3722].speaker SPEAKER_22
transcript.pyannote[3722].start 15131.01659375
transcript.pyannote[3722].end 15133.05846875
transcript.pyannote[3723].speaker SPEAKER_22
transcript.pyannote[3723].start 15133.78409375
transcript.pyannote[3723].end 15133.80096875
transcript.pyannote[3724].speaker SPEAKER_30
transcript.pyannote[3724].start 15133.80096875
transcript.pyannote[3724].end 15135.74159375
transcript.pyannote[3725].speaker SPEAKER_30
transcript.pyannote[3725].start 15136.23096875
transcript.pyannote[3725].end 15147.90846875
transcript.pyannote[3726].speaker SPEAKER_30
transcript.pyannote[3726].start 15148.22909375
transcript.pyannote[3726].end 15150.67596875
transcript.pyannote[3727].speaker SPEAKER_22
transcript.pyannote[3727].start 15150.67596875
transcript.pyannote[3727].end 15150.99659375
transcript.pyannote[3728].speaker SPEAKER_30
transcript.pyannote[3728].start 15150.99659375
transcript.pyannote[3728].end 15151.94159375
transcript.pyannote[3729].speaker SPEAKER_22
transcript.pyannote[3729].start 15151.94159375
transcript.pyannote[3729].end 15152.81909375
transcript.pyannote[3730].speaker SPEAKER_30
transcript.pyannote[3730].start 15152.81909375
transcript.pyannote[3730].end 15152.85284375
transcript.pyannote[3731].speaker SPEAKER_22
transcript.pyannote[3731].start 15153.39284375
transcript.pyannote[3731].end 15155.26596875
transcript.pyannote[3732].speaker SPEAKER_30
transcript.pyannote[3732].start 15153.91596875
transcript.pyannote[3732].end 15157.83096875
transcript.pyannote[3733].speaker SPEAKER_30
transcript.pyannote[3733].start 15158.16846875
transcript.pyannote[3733].end 15160.73346875
transcript.pyannote[3734].speaker SPEAKER_30
transcript.pyannote[3734].start 15160.96971875
transcript.pyannote[3734].end 15167.75346875
transcript.pyannote[3735].speaker SPEAKER_30
transcript.pyannote[3735].start 15168.24284375
transcript.pyannote[3735].end 15177.20346875
transcript.pyannote[3736].speaker SPEAKER_30
transcript.pyannote[3736].start 15177.91221875
transcript.pyannote[3736].end 15188.50971875
transcript.pyannote[3737].speaker SPEAKER_05
transcript.pyannote[3737].start 15188.39159375
transcript.pyannote[3737].end 15188.42534375
transcript.pyannote[3738].speaker SPEAKER_22
transcript.pyannote[3738].start 15188.42534375
transcript.pyannote[3738].end 15197.03159375
transcript.pyannote[3739].speaker SPEAKER_30
transcript.pyannote[3739].start 15192.39096875
transcript.pyannote[3739].end 15192.40784375
transcript.pyannote[3740].speaker SPEAKER_22
transcript.pyannote[3740].start 15197.18346875
transcript.pyannote[3740].end 15198.16221875
transcript.pyannote[3741].speaker SPEAKER_30
transcript.pyannote[3741].start 15198.16221875
transcript.pyannote[3741].end 15198.95534375
transcript.pyannote[3742].speaker SPEAKER_22
transcript.pyannote[3742].start 15198.95534375
transcript.pyannote[3742].end 15198.97221875
transcript.pyannote[3743].speaker SPEAKER_30
transcript.pyannote[3743].start 15198.97221875
transcript.pyannote[3743].end 15202.44846875
transcript.pyannote[3744].speaker SPEAKER_22
transcript.pyannote[3744].start 15201.36846875
transcript.pyannote[3744].end 15202.65096875
transcript.pyannote[3745].speaker SPEAKER_17
transcript.pyannote[3745].start 15211.00409375
transcript.pyannote[3745].end 15212.91096875
transcript.pyannote[3746].speaker SPEAKER_10
transcript.pyannote[3746].start 15220.99409375
transcript.pyannote[3746].end 15223.03596875
transcript.pyannote[3747].speaker SPEAKER_10
transcript.pyannote[3747].start 15223.08659375
transcript.pyannote[3747].end 15223.84596875
transcript.pyannote[3748].speaker SPEAKER_44
transcript.pyannote[3748].start 15231.67596875
transcript.pyannote[3748].end 15232.11471875
transcript.pyannote[3749].speaker SPEAKER_10
transcript.pyannote[3749].start 15232.50284375
transcript.pyannote[3749].end 15267.36659375
transcript.pyannote[3750].speaker SPEAKER_22
transcript.pyannote[3750].start 15267.82221875
transcript.pyannote[3750].end 15268.42971875
transcript.pyannote[3751].speaker SPEAKER_22
transcript.pyannote[3751].start 15268.90221875
transcript.pyannote[3751].end 15271.83846875
transcript.pyannote[3752].speaker SPEAKER_10
transcript.pyannote[3752].start 15271.56846875
transcript.pyannote[3752].end 15271.93971875
transcript.pyannote[3753].speaker SPEAKER_22
transcript.pyannote[3753].start 15271.93971875
transcript.pyannote[3753].end 15276.32721875
transcript.pyannote[3754].speaker SPEAKER_10
transcript.pyannote[3754].start 15276.32721875
transcript.pyannote[3754].end 15281.27159375
transcript.pyannote[3755].speaker SPEAKER_22
transcript.pyannote[3755].start 15279.75284375
transcript.pyannote[3755].end 15280.32659375
transcript.pyannote[3756].speaker SPEAKER_22
transcript.pyannote[3756].start 15281.49096875
transcript.pyannote[3756].end 15287.66721875
transcript.pyannote[3757].speaker SPEAKER_10
transcript.pyannote[3757].start 15287.97096875
transcript.pyannote[3757].end 15289.60784375
transcript.pyannote[3758].speaker SPEAKER_10
transcript.pyannote[3758].start 15289.75971875
transcript.pyannote[3758].end 15290.06346875
transcript.pyannote[3759].speaker SPEAKER_10
transcript.pyannote[3759].start 15290.56971875
transcript.pyannote[3759].end 15340.23284375
transcript.pyannote[3760].speaker SPEAKER_10
transcript.pyannote[3760].start 15340.50284375
transcript.pyannote[3760].end 15356.24721875
transcript.pyannote[3761].speaker SPEAKER_22
transcript.pyannote[3761].start 15357.00659375
transcript.pyannote[3761].end 15360.70221875
transcript.pyannote[3762].speaker SPEAKER_10
transcript.pyannote[3762].start 15361.49534375
transcript.pyannote[3762].end 15361.93409375
transcript.pyannote[3763].speaker SPEAKER_10
transcript.pyannote[3763].start 15362.08596875
transcript.pyannote[3763].end 15364.93784375
transcript.pyannote[3764].speaker SPEAKER_22
transcript.pyannote[3764].start 15366.06846875
transcript.pyannote[3764].end 15366.84471875
transcript.pyannote[3765].speaker SPEAKER_10
transcript.pyannote[3765].start 15366.50721875
transcript.pyannote[3765].end 15387.60096875
transcript.pyannote[3766].speaker SPEAKER_10
transcript.pyannote[3766].start 15387.85409375
transcript.pyannote[3766].end 15408.34034375
transcript.pyannote[3767].speaker SPEAKER_10
transcript.pyannote[3767].start 15408.81284375
transcript.pyannote[3767].end 15420.08534375
transcript.pyannote[3768].speaker SPEAKER_22
transcript.pyannote[3768].start 15421.18221875
transcript.pyannote[3768].end 15427.18971875
transcript.pyannote[3769].speaker SPEAKER_10
transcript.pyannote[3769].start 15425.14784375
transcript.pyannote[3769].end 15425.36721875
transcript.pyannote[3770].speaker SPEAKER_10
transcript.pyannote[3770].start 15426.22784375
transcript.pyannote[3770].end 15435.17159375
transcript.pyannote[3771].speaker SPEAKER_10
transcript.pyannote[3771].start 15435.61034375
transcript.pyannote[3771].end 15439.82909375
transcript.pyannote[3772].speaker SPEAKER_10
transcript.pyannote[3772].start 15440.28471875
transcript.pyannote[3772].end 15458.42534375
transcript.pyannote[3773].speaker SPEAKER_10
transcript.pyannote[3773].start 15458.69534375
transcript.pyannote[3773].end 15463.99409375
transcript.pyannote[3774].speaker SPEAKER_10
transcript.pyannote[3774].start 15464.24721875
transcript.pyannote[3774].end 15464.70284375
transcript.pyannote[3775].speaker SPEAKER_10
transcript.pyannote[3775].start 15465.05721875
transcript.pyannote[3775].end 15465.86721875
transcript.pyannote[3776].speaker SPEAKER_10
transcript.pyannote[3776].start 15465.95159375
transcript.pyannote[3776].end 15469.29284375
transcript.pyannote[3777].speaker SPEAKER_22
transcript.pyannote[3777].start 15468.33096875
transcript.pyannote[3777].end 15468.34784375
transcript.pyannote[3778].speaker SPEAKER_06
transcript.pyannote[3778].start 15468.34784375
transcript.pyannote[3778].end 15468.61784375
transcript.pyannote[3779].speaker SPEAKER_22
transcript.pyannote[3779].start 15468.61784375
transcript.pyannote[3779].end 15468.70221875
transcript.pyannote[3780].speaker SPEAKER_22
transcript.pyannote[3780].start 15470.06909375
transcript.pyannote[3780].end 15471.72284375
transcript.pyannote[3781].speaker SPEAKER_10
transcript.pyannote[3781].start 15471.08159375
transcript.pyannote[3781].end 15472.78596875
transcript.pyannote[3782].speaker SPEAKER_22
transcript.pyannote[3782].start 15472.63409375
transcript.pyannote[3782].end 15477.66284375
transcript.pyannote[3783].speaker SPEAKER_10
transcript.pyannote[3783].start 15478.05096875
transcript.pyannote[3783].end 15480.10971875
transcript.pyannote[3784].speaker SPEAKER_22
transcript.pyannote[3784].start 15479.14784375
transcript.pyannote[3784].end 15479.18159375
transcript.pyannote[3785].speaker SPEAKER_40
transcript.pyannote[3785].start 15479.18159375
transcript.pyannote[3785].end 15479.19846875
transcript.pyannote[3786].speaker SPEAKER_22
transcript.pyannote[3786].start 15479.19846875
transcript.pyannote[3786].end 15479.92409375
transcript.pyannote[3787].speaker SPEAKER_22
transcript.pyannote[3787].start 15480.26159375
transcript.pyannote[3787].end 15484.02471875
transcript.pyannote[3788].speaker SPEAKER_19
transcript.pyannote[3788].start 15484.02471875
transcript.pyannote[3788].end 15484.88534375
transcript.pyannote[3789].speaker SPEAKER_10
transcript.pyannote[3789].start 15484.58159375
transcript.pyannote[3789].end 15486.64034375
transcript.pyannote[3790].speaker SPEAKER_22
transcript.pyannote[3790].start 15484.88534375
transcript.pyannote[3790].end 15484.93596875
transcript.pyannote[3791].speaker SPEAKER_19
transcript.pyannote[3791].start 15486.82596875
transcript.pyannote[3791].end 15492.91784375
transcript.pyannote[3792].speaker SPEAKER_10
transcript.pyannote[3792].start 15493.45784375
transcript.pyannote[3792].end 15495.98909375
transcript.pyannote[3793].speaker SPEAKER_19
transcript.pyannote[3793].start 15496.03971875
transcript.pyannote[3793].end 15497.72721875
transcript.pyannote[3794].speaker SPEAKER_10
transcript.pyannote[3794].start 15497.20409375
transcript.pyannote[3794].end 15499.41471875
transcript.pyannote[3795].speaker SPEAKER_19
transcript.pyannote[3795].start 15499.41471875
transcript.pyannote[3795].end 15517.82534375
transcript.pyannote[3796].speaker SPEAKER_10
transcript.pyannote[3796].start 15504.71346875
transcript.pyannote[3796].end 15505.32096875
transcript.pyannote[3797].speaker SPEAKER_19
transcript.pyannote[3797].start 15517.85909375
transcript.pyannote[3797].end 15517.87596875
transcript.pyannote[3798].speaker SPEAKER_10
transcript.pyannote[3798].start 15517.87596875
transcript.pyannote[3798].end 15532.65846875
transcript.pyannote[3799].speaker SPEAKER_22
transcript.pyannote[3799].start 15533.67096875
transcript.pyannote[3799].end 15536.92784375
transcript.pyannote[3800].speaker SPEAKER_10
transcript.pyannote[3800].start 15537.26534375
transcript.pyannote[3800].end 15539.34096875
transcript.pyannote[3801].speaker SPEAKER_22
transcript.pyannote[3801].start 15540.20159375
transcript.pyannote[3801].end 15546.69846875
transcript.pyannote[3802].speaker SPEAKER_10
transcript.pyannote[3802].start 15542.68221875
transcript.pyannote[3802].end 15544.82534375
transcript.pyannote[3803].speaker SPEAKER_10
transcript.pyannote[3803].start 15546.69846875
transcript.pyannote[3803].end 15546.71534375
transcript.pyannote[3804].speaker SPEAKER_22
transcript.pyannote[3804].start 15546.71534375
transcript.pyannote[3804].end 15546.73221875
transcript.pyannote[3805].speaker SPEAKER_10
transcript.pyannote[3805].start 15546.73221875
transcript.pyannote[3805].end 15548.33534375
transcript.pyannote[3806].speaker SPEAKER_22
transcript.pyannote[3806].start 15547.30596875
transcript.pyannote[3806].end 15548.99346875
transcript.pyannote[3807].speaker SPEAKER_10
transcript.pyannote[3807].start 15549.11159375
transcript.pyannote[3807].end 15553.26284375
transcript.pyannote[3808].speaker SPEAKER_10
transcript.pyannote[3808].start 15554.00534375
transcript.pyannote[3808].end 15570.50909375
transcript.pyannote[3809].speaker SPEAKER_02
transcript.pyannote[3809].start 15556.08096875
transcript.pyannote[3809].end 15556.09784375
transcript.pyannote[3810].speaker SPEAKER_42
transcript.pyannote[3810].start 15556.09784375
transcript.pyannote[3810].end 15556.11471875
transcript.pyannote[3811].speaker SPEAKER_02
transcript.pyannote[3811].start 15556.11471875
transcript.pyannote[3811].end 15556.80659375
transcript.pyannote[3812].speaker SPEAKER_42
transcript.pyannote[3812].start 15556.80659375
transcript.pyannote[3812].end 15556.82346875
transcript.pyannote[3813].speaker SPEAKER_02
transcript.pyannote[3813].start 15556.82346875
transcript.pyannote[3813].end 15556.89096875
transcript.pyannote[3814].speaker SPEAKER_42
transcript.pyannote[3814].start 15556.89096875
transcript.pyannote[3814].end 15556.94159375
transcript.pyannote[3815].speaker SPEAKER_02
transcript.pyannote[3815].start 15561.51471875
transcript.pyannote[3815].end 15561.53159375
transcript.pyannote[3816].speaker SPEAKER_17
transcript.pyannote[3816].start 15561.53159375
transcript.pyannote[3816].end 15562.20659375
transcript.pyannote[3817].speaker SPEAKER_22
transcript.pyannote[3817].start 15571.11659375
transcript.pyannote[3817].end 15571.79159375
transcript.pyannote[3818].speaker SPEAKER_10
transcript.pyannote[3818].start 15571.30221875
transcript.pyannote[3818].end 15573.04034375
transcript.pyannote[3819].speaker SPEAKER_22
transcript.pyannote[3819].start 15573.37784375
transcript.pyannote[3819].end 15582.06846875
transcript.pyannote[3820].speaker SPEAKER_22
transcript.pyannote[3820].start 15582.60846875
transcript.pyannote[3820].end 15592.73346875
transcript.pyannote[3821].speaker SPEAKER_22
transcript.pyannote[3821].start 15593.20596875
transcript.pyannote[3821].end 15594.91034375
transcript.pyannote[3822].speaker SPEAKER_22
transcript.pyannote[3822].start 15595.33221875
transcript.pyannote[3822].end 15597.22221875
transcript.pyannote[3823].speaker SPEAKER_10
transcript.pyannote[3823].start 15597.35721875
transcript.pyannote[3823].end 15609.50721875
transcript.pyannote[3824].speaker SPEAKER_22
transcript.pyannote[3824].start 15598.90971875
transcript.pyannote[3824].end 15599.93909375
transcript.pyannote[3825].speaker SPEAKER_22
transcript.pyannote[3825].start 15600.90096875
transcript.pyannote[3825].end 15602.65596875
transcript.pyannote[3826].speaker SPEAKER_22
transcript.pyannote[3826].start 15606.28409375
transcript.pyannote[3826].end 15606.73971875
transcript.pyannote[3827].speaker SPEAKER_22
transcript.pyannote[3827].start 15609.03471875
transcript.pyannote[3827].end 15614.29971875
transcript.pyannote[3828].speaker SPEAKER_10
transcript.pyannote[3828].start 15614.01284375
transcript.pyannote[3828].end 15617.13471875
transcript.pyannote[3829].speaker SPEAKER_22
transcript.pyannote[3829].start 15615.59909375
transcript.pyannote[3829].end 15616.89846875
transcript.pyannote[3830].speaker SPEAKER_17
transcript.pyannote[3830].start 15624.77909375
transcript.pyannote[3830].end 15626.88846875
transcript.pyannote[3831].speaker SPEAKER_08
transcript.pyannote[3831].start 15634.78596875
transcript.pyannote[3831].end 15635.15721875
transcript.pyannote[3832].speaker SPEAKER_18
transcript.pyannote[3832].start 15635.15721875
transcript.pyannote[3832].end 15635.35971875
transcript.pyannote[3833].speaker SPEAKER_18
transcript.pyannote[3833].start 15635.69721875
transcript.pyannote[3833].end 15639.32534375
transcript.pyannote[3834].speaker SPEAKER_44
transcript.pyannote[3834].start 15646.96971875
transcript.pyannote[3834].end 15647.40846875
transcript.pyannote[3835].speaker SPEAKER_18
transcript.pyannote[3835].start 15647.07096875
transcript.pyannote[3835].end 15647.18909375
transcript.pyannote[3836].speaker SPEAKER_18
transcript.pyannote[3836].start 15647.94846875
transcript.pyannote[3836].end 15648.67409375
transcript.pyannote[3837].speaker SPEAKER_18
transcript.pyannote[3837].start 15649.34909375
transcript.pyannote[3837].end 15652.52159375
transcript.pyannote[3838].speaker SPEAKER_18
transcript.pyannote[3838].start 15652.80846875
transcript.pyannote[3838].end 15656.18346875
transcript.pyannote[3839].speaker SPEAKER_22
transcript.pyannote[3839].start 15657.46596875
transcript.pyannote[3839].end 15659.96346875
transcript.pyannote[3840].speaker SPEAKER_18
transcript.pyannote[3840].start 15659.96346875
transcript.pyannote[3840].end 15660.94221875
transcript.pyannote[3841].speaker SPEAKER_22
transcript.pyannote[3841].start 15661.51596875
transcript.pyannote[3841].end 15668.87346875
transcript.pyannote[3842].speaker SPEAKER_18
transcript.pyannote[3842].start 15661.92096875
transcript.pyannote[3842].end 15663.25409375
transcript.pyannote[3843].speaker SPEAKER_18
transcript.pyannote[3843].start 15668.68784375
transcript.pyannote[3843].end 15668.99159375
transcript.pyannote[3844].speaker SPEAKER_22
transcript.pyannote[3844].start 15668.99159375
transcript.pyannote[3844].end 15671.47221875
transcript.pyannote[3845].speaker SPEAKER_18
transcript.pyannote[3845].start 15669.05909375
transcript.pyannote[3845].end 15676.60221875
transcript.pyannote[3846].speaker SPEAKER_22
transcript.pyannote[3846].start 15672.09659375
transcript.pyannote[3846].end 15673.53096875
transcript.pyannote[3847].speaker SPEAKER_22
transcript.pyannote[3847].start 15674.39159375
transcript.pyannote[3847].end 15676.99034375
transcript.pyannote[3848].speaker SPEAKER_18
transcript.pyannote[3848].start 15676.99034375
transcript.pyannote[3848].end 15677.41221875
transcript.pyannote[3849].speaker SPEAKER_22
transcript.pyannote[3849].start 15677.00721875
transcript.pyannote[3849].end 15682.30596875
transcript.pyannote[3850].speaker SPEAKER_18
transcript.pyannote[3850].start 15681.31034375
transcript.pyannote[3850].end 15687.70596875
transcript.pyannote[3851].speaker SPEAKER_22
transcript.pyannote[3851].start 15687.70596875
transcript.pyannote[3851].end 15691.11471875
transcript.pyannote[3852].speaker SPEAKER_18
transcript.pyannote[3852].start 15688.80284375
transcript.pyannote[3852].end 15689.15721875
transcript.pyannote[3853].speaker SPEAKER_18
transcript.pyannote[3853].start 15691.11471875
transcript.pyannote[3853].end 15691.97534375
transcript.pyannote[3854].speaker SPEAKER_22
transcript.pyannote[3854].start 15691.97534375
transcript.pyannote[3854].end 15692.11034375
transcript.pyannote[3855].speaker SPEAKER_18
transcript.pyannote[3855].start 15692.11034375
transcript.pyannote[3855].end 15692.12721875
transcript.pyannote[3856].speaker SPEAKER_22
transcript.pyannote[3856].start 15692.12721875
transcript.pyannote[3856].end 15692.59971875
transcript.pyannote[3857].speaker SPEAKER_18
transcript.pyannote[3857].start 15692.14409375
transcript.pyannote[3857].end 15692.78534375
transcript.pyannote[3858].speaker SPEAKER_22
transcript.pyannote[3858].start 15692.78534375
transcript.pyannote[3858].end 15693.91596875
transcript.pyannote[3859].speaker SPEAKER_18
transcript.pyannote[3859].start 15694.08471875
transcript.pyannote[3859].end 15694.69221875
transcript.pyannote[3860].speaker SPEAKER_22
transcript.pyannote[3860].start 15694.32096875
transcript.pyannote[3860].end 15696.05909375
transcript.pyannote[3861].speaker SPEAKER_18
transcript.pyannote[3861].start 15696.05909375
transcript.pyannote[3861].end 15699.95721875
transcript.pyannote[3862].speaker SPEAKER_18
transcript.pyannote[3862].start 15701.07096875
transcript.pyannote[3862].end 15708.56346875
transcript.pyannote[3863].speaker SPEAKER_18
transcript.pyannote[3863].start 15711.93846875
transcript.pyannote[3863].end 15719.16096875
transcript.pyannote[3864].speaker SPEAKER_22
transcript.pyannote[3864].start 15717.99659375
transcript.pyannote[3864].end 15722.04659375
transcript.pyannote[3865].speaker SPEAKER_18
transcript.pyannote[3865].start 15720.89909375
transcript.pyannote[3865].end 15724.62846875
transcript.pyannote[3866].speaker SPEAKER_18
transcript.pyannote[3866].start 15725.13471875
transcript.pyannote[3866].end 15726.02909375
transcript.pyannote[3867].speaker SPEAKER_18
transcript.pyannote[3867].start 15726.29909375
transcript.pyannote[3867].end 15726.75471875
transcript.pyannote[3868].speaker SPEAKER_18
transcript.pyannote[3868].start 15727.27784375
transcript.pyannote[3868].end 15729.50534375
transcript.pyannote[3869].speaker SPEAKER_18
transcript.pyannote[3869].start 15730.43346875
transcript.pyannote[3869].end 15734.50034375
transcript.pyannote[3870].speaker SPEAKER_18
transcript.pyannote[3870].start 15734.97284375
transcript.pyannote[3870].end 15748.16909375
transcript.pyannote[3871].speaker SPEAKER_18
transcript.pyannote[3871].start 15748.70909375
transcript.pyannote[3871].end 15752.67471875
transcript.pyannote[3872].speaker SPEAKER_22
transcript.pyannote[3872].start 15753.99096875
transcript.pyannote[3872].end 15754.61534375
transcript.pyannote[3873].speaker SPEAKER_18
transcript.pyannote[3873].start 15754.61534375
transcript.pyannote[3873].end 15754.63221875
transcript.pyannote[3874].speaker SPEAKER_18
transcript.pyannote[3874].start 15754.80096875
transcript.pyannote[3874].end 15755.93159375
transcript.pyannote[3875].speaker SPEAKER_18
transcript.pyannote[3875].start 15756.37034375
transcript.pyannote[3875].end 15761.38221875
transcript.pyannote[3876].speaker SPEAKER_18
transcript.pyannote[3876].start 15761.95596875
transcript.pyannote[3876].end 15763.89659375
transcript.pyannote[3877].speaker SPEAKER_06
transcript.pyannote[3877].start 15762.34409375
transcript.pyannote[3877].end 15762.76596875
transcript.pyannote[3878].speaker SPEAKER_18
transcript.pyannote[3878].start 15764.75721875
transcript.pyannote[3878].end 15765.98909375
transcript.pyannote[3879].speaker SPEAKER_18
transcript.pyannote[3879].start 15766.52909375
transcript.pyannote[3879].end 15767.33909375
transcript.pyannote[3880].speaker SPEAKER_18
transcript.pyannote[3880].start 15768.08159375
transcript.pyannote[3880].end 15793.54596875
transcript.pyannote[3881].speaker SPEAKER_18
transcript.pyannote[3881].start 15794.18721875
transcript.pyannote[3881].end 15799.16534375
transcript.pyannote[3882].speaker SPEAKER_18
transcript.pyannote[3882].start 15799.75596875
transcript.pyannote[3882].end 15809.30721875
transcript.pyannote[3883].speaker SPEAKER_18
transcript.pyannote[3883].start 15810.04971875
transcript.pyannote[3883].end 15810.37034375
transcript.pyannote[3884].speaker SPEAKER_18
transcript.pyannote[3884].start 15811.23096875
transcript.pyannote[3884].end 15813.47534375
transcript.pyannote[3885].speaker SPEAKER_18
transcript.pyannote[3885].start 15813.86346875
transcript.pyannote[3885].end 15819.26346875
transcript.pyannote[3886].speaker SPEAKER_22
transcript.pyannote[3886].start 15820.15784375
transcript.pyannote[3886].end 15837.31971875
transcript.pyannote[3887].speaker SPEAKER_18
transcript.pyannote[3887].start 15828.71346875
transcript.pyannote[3887].end 15832.20659375
transcript.pyannote[3888].speaker SPEAKER_18
transcript.pyannote[3888].start 15834.18096875
transcript.pyannote[3888].end 15834.68721875
transcript.pyannote[3889].speaker SPEAKER_18
transcript.pyannote[3889].start 15835.90221875
transcript.pyannote[3889].end 15836.25659375
transcript.pyannote[3890].speaker SPEAKER_18
transcript.pyannote[3890].start 15836.72909375
transcript.pyannote[3890].end 15837.37034375
transcript.pyannote[3891].speaker SPEAKER_22
transcript.pyannote[3891].start 15837.37034375
transcript.pyannote[3891].end 15838.02846875
transcript.pyannote[3892].speaker SPEAKER_18
transcript.pyannote[3892].start 15838.02846875
transcript.pyannote[3892].end 15843.22596875
transcript.pyannote[3893].speaker SPEAKER_18
transcript.pyannote[3893].start 15843.68159375
transcript.pyannote[3893].end 15857.33346875
transcript.pyannote[3894].speaker SPEAKER_18
transcript.pyannote[3894].start 15857.60346875
transcript.pyannote[3894].end 15857.97471875
transcript.pyannote[3895].speaker SPEAKER_22
transcript.pyannote[3895].start 15857.97471875
transcript.pyannote[3895].end 15861.41721875
transcript.pyannote[3896].speaker SPEAKER_18
transcript.pyannote[3896].start 15863.00346875
transcript.pyannote[3896].end 15864.60659375
transcript.pyannote[3897].speaker SPEAKER_18
transcript.pyannote[3897].start 15865.93971875
transcript.pyannote[3897].end 15873.97221875
transcript.pyannote[3898].speaker SPEAKER_22
transcript.pyannote[3898].start 15873.97221875
transcript.pyannote[3898].end 15876.82409375
transcript.pyannote[3899].speaker SPEAKER_18
transcript.pyannote[3899].start 15875.44034375
transcript.pyannote[3899].end 15878.96721875
transcript.pyannote[3900].speaker SPEAKER_22
transcript.pyannote[3900].start 15878.96721875
transcript.pyannote[3900].end 15879.59159375
transcript.pyannote[3901].speaker SPEAKER_22
transcript.pyannote[3901].start 15880.14846875
transcript.pyannote[3901].end 15886.74659375
transcript.pyannote[3902].speaker SPEAKER_18
transcript.pyannote[3902].start 15883.37159375
transcript.pyannote[3902].end 15887.20221875
transcript.pyannote[3903].speaker SPEAKER_18
transcript.pyannote[3903].start 15887.75909375
transcript.pyannote[3903].end 15889.69971875
transcript.pyannote[3904].speaker SPEAKER_22
transcript.pyannote[3904].start 15890.12159375
transcript.pyannote[3904].end 15897.69846875
transcript.pyannote[3905].speaker SPEAKER_18
transcript.pyannote[3905].start 15892.26471875
transcript.pyannote[3905].end 15892.43346875
transcript.pyannote[3906].speaker SPEAKER_18
transcript.pyannote[3906].start 15896.77034375
transcript.pyannote[3906].end 15900.63471875
transcript.pyannote[3907].speaker SPEAKER_22
transcript.pyannote[3907].start 15899.95971875
transcript.pyannote[3907].end 15902.01846875
transcript.pyannote[3908].speaker SPEAKER_22
transcript.pyannote[3908].start 15902.69346875
transcript.pyannote[3908].end 15905.03909375
transcript.pyannote[3909].speaker SPEAKER_18
transcript.pyannote[3909].start 15903.23346875
transcript.pyannote[3909].end 15903.62159375
transcript.pyannote[3910].speaker SPEAKER_03
transcript.pyannote[3910].start 15905.03909375
transcript.pyannote[3910].end 15905.27534375
transcript.pyannote[3911].speaker SPEAKER_22
transcript.pyannote[3911].start 15905.27534375
transcript.pyannote[3911].end 15905.29221875
transcript.pyannote[3912].speaker SPEAKER_03
transcript.pyannote[3912].start 15905.29221875
transcript.pyannote[3912].end 15905.88284375
transcript.pyannote[3913].speaker SPEAKER_22
transcript.pyannote[3913].start 15905.52846875
transcript.pyannote[3913].end 15905.54534375
transcript.pyannote[3914].speaker SPEAKER_18
transcript.pyannote[3914].start 15905.54534375
transcript.pyannote[3914].end 15906.84471875
transcript.pyannote[3915].speaker SPEAKER_22
transcript.pyannote[3915].start 15905.88284375
transcript.pyannote[3915].end 15905.96721875
transcript.pyannote[3916].speaker SPEAKER_03
transcript.pyannote[3916].start 15907.13159375
transcript.pyannote[3916].end 15921.28971875
transcript.pyannote[3917].speaker SPEAKER_03
transcript.pyannote[3917].start 15921.94784375
transcript.pyannote[3917].end 15926.72346875
transcript.pyannote[3918].speaker SPEAKER_18
transcript.pyannote[3918].start 15925.87971875
transcript.pyannote[3918].end 15934.67159375
transcript.pyannote[3919].speaker SPEAKER_03
transcript.pyannote[3919].start 15927.28034375
transcript.pyannote[3919].end 15927.68534375
transcript.pyannote[3920].speaker SPEAKER_03
transcript.pyannote[3920].start 15929.79471875
transcript.pyannote[3920].end 15931.80284375
transcript.pyannote[3921].speaker SPEAKER_03
transcript.pyannote[3921].start 15931.81971875
transcript.pyannote[3921].end 15932.29221875
transcript.pyannote[3922].speaker SPEAKER_03
transcript.pyannote[3922].start 15933.70971875
transcript.pyannote[3922].end 15933.79409375
transcript.pyannote[3923].speaker SPEAKER_03
transcript.pyannote[3923].start 15933.91221875
transcript.pyannote[3923].end 15942.33284375
transcript.pyannote[3924].speaker SPEAKER_18
transcript.pyannote[3924].start 15941.53971875
transcript.pyannote[3924].end 15951.15846875
transcript.pyannote[3925].speaker SPEAKER_03
transcript.pyannote[3925].start 15944.02034375
transcript.pyannote[3925].end 15944.96534375
transcript.pyannote[3926].speaker SPEAKER_02
transcript.pyannote[3926].start 15948.82971875
transcript.pyannote[3926].end 15951.12471875
transcript.pyannote[3927].speaker SPEAKER_02
transcript.pyannote[3927].start 15951.15846875
transcript.pyannote[3927].end 15953.03159375
transcript.pyannote[3928].speaker SPEAKER_18
transcript.pyannote[3928].start 15951.63096875
transcript.pyannote[3928].end 15958.04346875
transcript.pyannote[3929].speaker SPEAKER_03
transcript.pyannote[3929].start 15953.03159375
transcript.pyannote[3929].end 15954.38159375
transcript.pyannote[3930].speaker SPEAKER_03
transcript.pyannote[3930].start 15957.03096875
transcript.pyannote[3930].end 15966.78471875
transcript.pyannote[3931].speaker SPEAKER_18
transcript.pyannote[3931].start 15967.30784375
transcript.pyannote[3931].end 15970.19346875
transcript.pyannote[3932].speaker SPEAKER_03
transcript.pyannote[3932].start 15970.19346875
transcript.pyannote[3932].end 15971.69534375
transcript.pyannote[3933].speaker SPEAKER_18
transcript.pyannote[3933].start 15970.21034375
transcript.pyannote[3933].end 15971.62784375
transcript.pyannote[3934].speaker SPEAKER_39
transcript.pyannote[3934].start 15971.69534375
transcript.pyannote[3934].end 15971.74596875
transcript.pyannote[3935].speaker SPEAKER_18
transcript.pyannote[3935].start 15972.28596875
transcript.pyannote[3935].end 15992.21534375
transcript.pyannote[3936].speaker SPEAKER_39
transcript.pyannote[3936].start 15976.20096875
transcript.pyannote[3936].end 15976.53846875
transcript.pyannote[3937].speaker SPEAKER_03
transcript.pyannote[3937].start 15993.19409375
transcript.pyannote[3937].end 15993.46409375
transcript.pyannote[3938].speaker SPEAKER_18
transcript.pyannote[3938].start 15993.46409375
transcript.pyannote[3938].end 15995.20221875
transcript.pyannote[3939].speaker SPEAKER_03
transcript.pyannote[3939].start 15993.53159375
transcript.pyannote[3939].end 15994.18971875
transcript.pyannote[3940].speaker SPEAKER_03
transcript.pyannote[3940].start 15995.37096875
transcript.pyannote[3940].end 16002.15471875
transcript.pyannote[3941].speaker SPEAKER_03
transcript.pyannote[3941].start 16002.45846875
transcript.pyannote[3941].end 16003.43721875
transcript.pyannote[3942].speaker SPEAKER_18
transcript.pyannote[3942].start 16002.77909375
transcript.pyannote[3942].end 16008.55034375
transcript.pyannote[3943].speaker SPEAKER_03
transcript.pyannote[3943].start 16008.56721875
transcript.pyannote[3943].end 16010.17034375
transcript.pyannote[3944].speaker SPEAKER_18
transcript.pyannote[3944].start 16009.44471875
transcript.pyannote[3944].end 16012.04346875
transcript.pyannote[3945].speaker SPEAKER_03
transcript.pyannote[3945].start 16012.04346875
transcript.pyannote[3945].end 16018.70909375
transcript.pyannote[3946].speaker SPEAKER_18
transcript.pyannote[3946].start 16013.00534375
transcript.pyannote[3946].end 16016.07659375
transcript.pyannote[3947].speaker SPEAKER_18
transcript.pyannote[3947].start 16019.46846875
transcript.pyannote[3947].end 16021.10534375
transcript.pyannote[3948].speaker SPEAKER_03
transcript.pyannote[3948].start 16021.10534375
transcript.pyannote[3948].end 16027.29846875
transcript.pyannote[3949].speaker SPEAKER_18
transcript.pyannote[3949].start 16021.12221875
transcript.pyannote[3949].end 16023.46784375
transcript.pyannote[3950].speaker SPEAKER_18
transcript.pyannote[3950].start 16027.29846875
transcript.pyannote[3950].end 16027.51784375
transcript.pyannote[3951].speaker SPEAKER_03
transcript.pyannote[3951].start 16027.51784375
transcript.pyannote[3951].end 16028.63159375
transcript.pyannote[3952].speaker SPEAKER_18
transcript.pyannote[3952].start 16028.44596875
transcript.pyannote[3952].end 16038.40221875
transcript.pyannote[3953].speaker SPEAKER_03
transcript.pyannote[3953].start 16030.40346875
transcript.pyannote[3953].end 16030.90971875
transcript.pyannote[3954].speaker SPEAKER_03
transcript.pyannote[3954].start 16037.69346875
transcript.pyannote[3954].end 16041.08534375
transcript.pyannote[3955].speaker SPEAKER_18
transcript.pyannote[3955].start 16039.66784375
transcript.pyannote[3955].end 16041.52409375
transcript.pyannote[3956].speaker SPEAKER_03
transcript.pyannote[3956].start 16041.97971875
transcript.pyannote[3956].end 16045.27034375
transcript.pyannote[3957].speaker SPEAKER_03
transcript.pyannote[3957].start 16046.80596875
transcript.pyannote[3957].end 16048.76346875
transcript.pyannote[3958].speaker SPEAKER_18
transcript.pyannote[3958].start 16046.99159375
transcript.pyannote[3958].end 16055.41221875
transcript.pyannote[3959].speaker SPEAKER_03
transcript.pyannote[3959].start 16049.75909375
transcript.pyannote[3959].end 16050.13034375
transcript.pyannote[3960].speaker SPEAKER_03
transcript.pyannote[3960].start 16052.42534375
transcript.pyannote[3960].end 16057.09971875
transcript.pyannote[3961].speaker SPEAKER_18
transcript.pyannote[3961].start 16057.09971875
transcript.pyannote[3961].end 16058.43284375
transcript.pyannote[3962].speaker SPEAKER_03
transcript.pyannote[3962].start 16058.97284375
transcript.pyannote[3962].end 16061.74034375
transcript.pyannote[3963].speaker SPEAKER_03
transcript.pyannote[3963].start 16062.09471875
transcript.pyannote[3963].end 16063.27596875
transcript.pyannote[3964].speaker SPEAKER_03
transcript.pyannote[3964].start 16063.64721875
transcript.pyannote[3964].end 16070.51534375
transcript.pyannote[3965].speaker SPEAKER_18
transcript.pyannote[3965].start 16069.87409375
transcript.pyannote[3965].end 16080.25221875
transcript.pyannote[3966].speaker SPEAKER_03
transcript.pyannote[3966].start 16072.01721875
transcript.pyannote[3966].end 16073.73846875
transcript.pyannote[3967].speaker SPEAKER_18
transcript.pyannote[3967].start 16080.47159375
transcript.pyannote[3967].end 16081.83846875
transcript.pyannote[3968].speaker SPEAKER_17
transcript.pyannote[3968].start 16086.25971875
transcript.pyannote[3968].end 16086.71534375
transcript.pyannote[3969].speaker SPEAKER_17
transcript.pyannote[3969].start 16086.81659375
transcript.pyannote[3969].end 16092.92534375
transcript.pyannote[3970].speaker SPEAKER_03
transcript.pyannote[3970].start 16092.50346875
transcript.pyannote[3970].end 16095.49034375
transcript.pyannote[3971].speaker SPEAKER_17
transcript.pyannote[3971].start 16094.03909375
transcript.pyannote[3971].end 16094.24159375
transcript.pyannote[3972].speaker SPEAKER_03
transcript.pyannote[3972].start 16095.96284375
transcript.pyannote[3972].end 16096.85721875
transcript.pyannote[3973].speaker SPEAKER_17
transcript.pyannote[3973].start 16097.49846875
transcript.pyannote[3973].end 16099.03409375
transcript.pyannote[3974].speaker SPEAKER_17
transcript.pyannote[3974].start 16099.60784375
transcript.pyannote[3974].end 16102.25721875
transcript.pyannote[3975].speaker SPEAKER_34
transcript.pyannote[3975].start 16108.38284375
transcript.pyannote[3975].end 16110.17159375
transcript.pyannote[3976].speaker SPEAKER_34
transcript.pyannote[3976].start 16110.32346875
transcript.pyannote[3976].end 16110.37409375
transcript.pyannote[3977].speaker SPEAKER_17
transcript.pyannote[3977].start 16110.37409375
transcript.pyannote[3977].end 16110.94784375
transcript.pyannote[3978].speaker SPEAKER_39
transcript.pyannote[3978].start 16118.81159375
transcript.pyannote[3978].end 16119.30096875
transcript.pyannote[3979].speaker SPEAKER_34
transcript.pyannote[3979].start 16118.96346875
transcript.pyannote[3979].end 16118.99721875
transcript.pyannote[3980].speaker SPEAKER_34
transcript.pyannote[3980].start 16119.01409375
transcript.pyannote[3980].end 16119.21659375
transcript.pyannote[3981].speaker SPEAKER_34
transcript.pyannote[3981].start 16119.26721875
transcript.pyannote[3981].end 16120.33034375
transcript.pyannote[3982].speaker SPEAKER_34
transcript.pyannote[3982].start 16121.69721875
transcript.pyannote[3982].end 16125.03846875
transcript.pyannote[3983].speaker SPEAKER_34
transcript.pyannote[3983].start 16125.30846875
transcript.pyannote[3983].end 16126.75971875
transcript.pyannote[3984].speaker SPEAKER_34
transcript.pyannote[3984].start 16127.28284375
transcript.pyannote[3984].end 16130.57346875
transcript.pyannote[3985].speaker SPEAKER_34
transcript.pyannote[3985].start 16130.74221875
transcript.pyannote[3985].end 16133.86409375
transcript.pyannote[3986].speaker SPEAKER_22
transcript.pyannote[3986].start 16135.14659375
transcript.pyannote[3986].end 16135.56846875
transcript.pyannote[3987].speaker SPEAKER_22
transcript.pyannote[3987].start 16135.68659375
transcript.pyannote[3987].end 16136.29409375
transcript.pyannote[3988].speaker SPEAKER_34
transcript.pyannote[3988].start 16136.59784375
transcript.pyannote[3988].end 16137.79596875
transcript.pyannote[3989].speaker SPEAKER_34
transcript.pyannote[3989].start 16138.31909375
transcript.pyannote[3989].end 16141.06971875
transcript.pyannote[3990].speaker SPEAKER_34
transcript.pyannote[3990].start 16141.76159375
transcript.pyannote[3990].end 16145.23784375
transcript.pyannote[3991].speaker SPEAKER_34
transcript.pyannote[3991].start 16145.60909375
transcript.pyannote[3991].end 16147.17846875
transcript.pyannote[3992].speaker SPEAKER_34
transcript.pyannote[3992].start 16147.41471875
transcript.pyannote[3992].end 16148.81534375
transcript.pyannote[3993].speaker SPEAKER_34
transcript.pyannote[3993].start 16149.00096875
transcript.pyannote[3993].end 16154.68784375
transcript.pyannote[3994].speaker SPEAKER_22
transcript.pyannote[3994].start 16155.70034375
transcript.pyannote[3994].end 16158.02909375
transcript.pyannote[3995].speaker SPEAKER_34
transcript.pyannote[3995].start 16158.02909375
transcript.pyannote[3995].end 16159.17659375
transcript.pyannote[3996].speaker SPEAKER_34
transcript.pyannote[3996].start 16159.58159375
transcript.pyannote[3996].end 16165.69034375
transcript.pyannote[3997].speaker SPEAKER_34
transcript.pyannote[3997].start 16165.99409375
transcript.pyannote[3997].end 16174.95471875
transcript.pyannote[3998].speaker SPEAKER_34
transcript.pyannote[3998].start 16175.44409375
transcript.pyannote[3998].end 16175.95034375
transcript.pyannote[3999].speaker SPEAKER_39
transcript.pyannote[3999].start 16175.95034375
transcript.pyannote[3999].end 16176.52409375
transcript.pyannote[4000].speaker SPEAKER_34
transcript.pyannote[4000].start 16176.52409375
transcript.pyannote[4000].end 16178.38034375
transcript.pyannote[4001].speaker SPEAKER_34
transcript.pyannote[4001].start 16178.59971875
transcript.pyannote[4001].end 16183.03784375
transcript.pyannote[4002].speaker SPEAKER_34
transcript.pyannote[4002].start 16183.30784375
transcript.pyannote[4002].end 16187.17221875
transcript.pyannote[4003].speaker SPEAKER_34
transcript.pyannote[4003].start 16187.45909375
transcript.pyannote[4003].end 16200.19971875
transcript.pyannote[4004].speaker SPEAKER_34
transcript.pyannote[4004].start 16200.35159375
transcript.pyannote[4004].end 16205.93721875
transcript.pyannote[4005].speaker SPEAKER_22
transcript.pyannote[4005].start 16206.91596875
transcript.pyannote[4005].end 16209.17721875
transcript.pyannote[4006].speaker SPEAKER_34
transcript.pyannote[4006].start 16209.34596875
transcript.pyannote[4006].end 16213.91909375
transcript.pyannote[4007].speaker SPEAKER_34
transcript.pyannote[4007].start 16214.34096875
transcript.pyannote[4007].end 16238.57346875
transcript.pyannote[4008].speaker SPEAKER_40
transcript.pyannote[4008].start 16227.55409375
transcript.pyannote[4008].end 16227.97596875
transcript.pyannote[4009].speaker SPEAKER_00
transcript.pyannote[4009].start 16227.97596875
transcript.pyannote[4009].end 16228.24596875
transcript.pyannote[4010].speaker SPEAKER_34
transcript.pyannote[4010].start 16239.02909375
transcript.pyannote[4010].end 16254.50346875
transcript.pyannote[4011].speaker SPEAKER_34
transcript.pyannote[4011].start 16255.07721875
transcript.pyannote[4011].end 16262.89034375
transcript.pyannote[4012].speaker SPEAKER_34
transcript.pyannote[4012].start 16263.36284375
transcript.pyannote[4012].end 16265.55659375
transcript.pyannote[4013].speaker SPEAKER_34
transcript.pyannote[4013].start 16266.26534375
transcript.pyannote[4013].end 16270.06221875
transcript.pyannote[4014].speaker SPEAKER_34
transcript.pyannote[4014].start 16270.14659375
transcript.pyannote[4014].end 16274.31471875
transcript.pyannote[4015].speaker SPEAKER_34
transcript.pyannote[4015].start 16274.66909375
transcript.pyannote[4015].end 16294.91909375
transcript.pyannote[4016].speaker SPEAKER_00
transcript.pyannote[4016].start 16277.57159375
transcript.pyannote[4016].end 16277.75721875
transcript.pyannote[4017].speaker SPEAKER_34
transcript.pyannote[4017].start 16295.22284375
transcript.pyannote[4017].end 16302.76596875
transcript.pyannote[4018].speaker SPEAKER_34
transcript.pyannote[4018].start 16303.67721875
transcript.pyannote[4018].end 16315.65846875
transcript.pyannote[4019].speaker SPEAKER_34
transcript.pyannote[4019].start 16316.50221875
transcript.pyannote[4019].end 16331.13284375
transcript.pyannote[4020].speaker SPEAKER_34
transcript.pyannote[4020].start 16331.53784375
transcript.pyannote[4020].end 16358.90909375
transcript.pyannote[4021].speaker SPEAKER_34
transcript.pyannote[4021].start 16359.19596875
transcript.pyannote[4021].end 16376.71221875
transcript.pyannote[4022].speaker SPEAKER_34
transcript.pyannote[4022].start 16376.74596875
transcript.pyannote[4022].end 16380.99846875
transcript.pyannote[4023].speaker SPEAKER_34
transcript.pyannote[4023].start 16381.65659375
transcript.pyannote[4023].end 16393.38471875
transcript.pyannote[4024].speaker SPEAKER_34
transcript.pyannote[4024].start 16393.82346875
transcript.pyannote[4024].end 16398.97034375
transcript.pyannote[4025].speaker SPEAKER_34
transcript.pyannote[4025].start 16399.67909375
transcript.pyannote[4025].end 16403.02034375
transcript.pyannote[4026].speaker SPEAKER_34
transcript.pyannote[4026].start 16403.44221875
transcript.pyannote[4026].end 16426.96596875
transcript.pyannote[4027].speaker SPEAKER_34
transcript.pyannote[4027].start 16428.77159375
transcript.pyannote[4027].end 16460.14221875
transcript.pyannote[4028].speaker SPEAKER_22
transcript.pyannote[4028].start 16460.14221875
transcript.pyannote[4028].end 16463.60159375
transcript.pyannote[4029].speaker SPEAKER_34
transcript.pyannote[4029].start 16460.17596875
transcript.pyannote[4029].end 16460.27721875
transcript.pyannote[4030].speaker SPEAKER_22
transcript.pyannote[4030].start 16464.64784375
transcript.pyannote[4030].end 16465.91346875
transcript.pyannote[4031].speaker SPEAKER_22
transcript.pyannote[4031].start 16466.74034375
transcript.pyannote[4031].end 16469.13659375
transcript.pyannote[4032].speaker SPEAKER_34
transcript.pyannote[4032].start 16469.42346875
transcript.pyannote[4032].end 16469.77784375
transcript.pyannote[4033].speaker SPEAKER_34
transcript.pyannote[4033].start 16470.30096875
transcript.pyannote[4033].end 16481.10096875
transcript.pyannote[4034].speaker SPEAKER_34
transcript.pyannote[4034].start 16481.47221875
transcript.pyannote[4034].end 16494.38159375
transcript.pyannote[4035].speaker SPEAKER_22
transcript.pyannote[4035].start 16493.77409375
transcript.pyannote[4035].end 16494.75284375
transcript.pyannote[4036].speaker SPEAKER_34
transcript.pyannote[4036].start 16494.75284375
transcript.pyannote[4036].end 16498.04346875
transcript.pyannote[4037].speaker SPEAKER_22
transcript.pyannote[4037].start 16498.04346875
transcript.pyannote[4037].end 16499.88284375
transcript.pyannote[4038].speaker SPEAKER_34
transcript.pyannote[4038].start 16499.88284375
transcript.pyannote[4038].end 16500.42284375
transcript.pyannote[4039].speaker SPEAKER_22
transcript.pyannote[4039].start 16500.42284375
transcript.pyannote[4039].end 16500.92909375
transcript.pyannote[4040].speaker SPEAKER_34
transcript.pyannote[4040].start 16500.50721875
transcript.pyannote[4040].end 16500.57471875
transcript.pyannote[4041].speaker SPEAKER_34
transcript.pyannote[4041].start 16501.11471875
transcript.pyannote[4041].end 16503.24096875
transcript.pyannote[4042].speaker SPEAKER_22
transcript.pyannote[4042].start 16504.35471875
transcript.pyannote[4042].end 16507.03784375
transcript.pyannote[4043].speaker SPEAKER_34
transcript.pyannote[4043].start 16506.64971875
transcript.pyannote[4043].end 16512.25221875
transcript.pyannote[4044].speaker SPEAKER_22
transcript.pyannote[4044].start 16511.67846875
transcript.pyannote[4044].end 16515.86346875
transcript.pyannote[4045].speaker SPEAKER_34
transcript.pyannote[4045].start 16515.74534375
transcript.pyannote[4045].end 16517.56784375
transcript.pyannote[4046].speaker SPEAKER_22
transcript.pyannote[4046].start 16517.04471875
transcript.pyannote[4046].end 16517.43284375
transcript.pyannote[4047].speaker SPEAKER_34
transcript.pyannote[4047].start 16517.78721875
transcript.pyannote[4047].end 16520.75721875
transcript.pyannote[4048].speaker SPEAKER_34
transcript.pyannote[4048].start 16520.82471875
transcript.pyannote[4048].end 16527.59159375
transcript.pyannote[4049].speaker SPEAKER_34
transcript.pyannote[4049].start 16527.97971875
transcript.pyannote[4049].end 16529.11034375
transcript.pyannote[4050].speaker SPEAKER_34
transcript.pyannote[4050].start 16529.22846875
transcript.pyannote[4050].end 16530.76409375
transcript.pyannote[4051].speaker SPEAKER_22
transcript.pyannote[4051].start 16530.76409375
transcript.pyannote[4051].end 16536.06284375
transcript.pyannote[4052].speaker SPEAKER_34
transcript.pyannote[4052].start 16536.13034375
transcript.pyannote[4052].end 16538.66159375
transcript.pyannote[4053].speaker SPEAKER_22
transcript.pyannote[4053].start 16537.76721875
transcript.pyannote[4053].end 16538.12159375
transcript.pyannote[4054].speaker SPEAKER_22
transcript.pyannote[4054].start 16538.74596875
transcript.pyannote[4054].end 16539.33659375
transcript.pyannote[4055].speaker SPEAKER_17
transcript.pyannote[4055].start 16546.06971875
transcript.pyannote[4055].end 16547.95971875
transcript.pyannote[4056].speaker SPEAKER_17
transcript.pyannote[4056].start 16565.88096875
transcript.pyannote[4056].end 16566.77534375
transcript.pyannote[4057].speaker SPEAKER_17
transcript.pyannote[4057].start 16567.06221875
transcript.pyannote[4057].end 16567.53471875
transcript.pyannote[4058].speaker SPEAKER_17
transcript.pyannote[4058].start 16567.68659375
transcript.pyannote[4058].end 16568.14221875
transcript.pyannote[4059].speaker SPEAKER_17
transcript.pyannote[4059].start 16568.36159375
transcript.pyannote[4059].end 16569.07034375
transcript.pyannote[4060].speaker SPEAKER_44
transcript.pyannote[4060].start 16576.84971875
transcript.pyannote[4060].end 16577.28846875
transcript.pyannote[4061].speaker SPEAKER_16
transcript.pyannote[4061].start 16577.03534375
transcript.pyannote[4061].end 16577.11971875
transcript.pyannote[4062].speaker SPEAKER_16
transcript.pyannote[4062].start 16577.60909375
transcript.pyannote[4062].end 16578.46971875
transcript.pyannote[4063].speaker SPEAKER_16
transcript.pyannote[4063].start 16578.73971875
transcript.pyannote[4063].end 16581.92909375
transcript.pyannote[4064].speaker SPEAKER_16
transcript.pyannote[4064].start 16582.43534375
transcript.pyannote[4064].end 16583.92034375
transcript.pyannote[4065].speaker SPEAKER_16
transcript.pyannote[4065].start 16584.00471875
transcript.pyannote[4065].end 16584.03846875
transcript.pyannote[4066].speaker SPEAKER_16
transcript.pyannote[4066].start 16584.07221875
transcript.pyannote[4066].end 16586.82284375
transcript.pyannote[4067].speaker SPEAKER_16
transcript.pyannote[4067].start 16587.53159375
transcript.pyannote[4067].end 16589.87721875
transcript.pyannote[4068].speaker SPEAKER_16
transcript.pyannote[4068].start 16589.89409375
transcript.pyannote[4068].end 16591.32846875
transcript.pyannote[4069].speaker SPEAKER_16
transcript.pyannote[4069].start 16591.86846875
transcript.pyannote[4069].end 16593.37034375
transcript.pyannote[4070].speaker SPEAKER_16
transcript.pyannote[4070].start 16593.91034375
transcript.pyannote[4070].end 16595.12534375
transcript.pyannote[4071].speaker SPEAKER_16
transcript.pyannote[4071].start 16595.86784375
transcript.pyannote[4071].end 16598.19659375
transcript.pyannote[4072].speaker SPEAKER_16
transcript.pyannote[4072].start 16598.66909375
transcript.pyannote[4072].end 16607.78159375
transcript.pyannote[4073].speaker SPEAKER_16
transcript.pyannote[4073].start 16608.43971875
transcript.pyannote[4073].end 16642.51034375
transcript.pyannote[4074].speaker SPEAKER_16
transcript.pyannote[4074].start 16642.81409375
transcript.pyannote[4074].end 16645.22721875
transcript.pyannote[4075].speaker SPEAKER_16
transcript.pyannote[4075].start 16645.64909375
transcript.pyannote[4075].end 16647.72471875
transcript.pyannote[4076].speaker SPEAKER_16
transcript.pyannote[4076].start 16648.31534375
transcript.pyannote[4076].end 16652.29784375
transcript.pyannote[4077].speaker SPEAKER_16
transcript.pyannote[4077].start 16652.51721875
transcript.pyannote[4077].end 16696.12221875
transcript.pyannote[4078].speaker SPEAKER_16
transcript.pyannote[4078].start 16696.72971875
transcript.pyannote[4078].end 16699.58159375
transcript.pyannote[4079].speaker SPEAKER_16
transcript.pyannote[4079].start 16699.81784375
transcript.pyannote[4079].end 16700.59409375
transcript.pyannote[4080].speaker SPEAKER_16
transcript.pyannote[4080].start 16700.86409375
transcript.pyannote[4080].end 16735.99784375
transcript.pyannote[4081].speaker SPEAKER_16
transcript.pyannote[4081].start 16736.33534375
transcript.pyannote[4081].end 16739.28846875
transcript.pyannote[4082].speaker SPEAKER_16
transcript.pyannote[4082].start 16739.94659375
transcript.pyannote[4082].end 16741.14471875
transcript.pyannote[4083].speaker SPEAKER_16
transcript.pyannote[4083].start 16741.61721875
transcript.pyannote[4083].end 16747.64159375
transcript.pyannote[4084].speaker SPEAKER_16
transcript.pyannote[4084].start 16748.13096875
transcript.pyannote[4084].end 16763.03159375
transcript.pyannote[4085].speaker SPEAKER_22
transcript.pyannote[4085].start 16765.07346875
transcript.pyannote[4085].end 16767.65534375
transcript.pyannote[4086].speaker SPEAKER_16
transcript.pyannote[4086].start 16766.69346875
transcript.pyannote[4086].end 16766.77784375
transcript.pyannote[4087].speaker SPEAKER_20
transcript.pyannote[4087].start 16766.77784375
transcript.pyannote[4087].end 16767.13221875
transcript.pyannote[4088].speaker SPEAKER_20
transcript.pyannote[4088].start 16769.03909375
transcript.pyannote[4088].end 16786.16721875
transcript.pyannote[4089].speaker SPEAKER_20
transcript.pyannote[4089].start 16786.31909375
transcript.pyannote[4089].end 16791.36471875
transcript.pyannote[4090].speaker SPEAKER_16
transcript.pyannote[4090].start 16788.02346875
transcript.pyannote[4090].end 16788.36096875
transcript.pyannote[4091].speaker SPEAKER_16
transcript.pyannote[4091].start 16790.13284375
transcript.pyannote[4091].end 16800.24096875
transcript.pyannote[4092].speaker SPEAKER_16
transcript.pyannote[4092].start 16800.91596875
transcript.pyannote[4092].end 16804.27409375
transcript.pyannote[4093].speaker SPEAKER_16
transcript.pyannote[4093].start 16804.45971875
transcript.pyannote[4093].end 16839.10409375
transcript.pyannote[4094].speaker SPEAKER_16
transcript.pyannote[4094].start 16839.55971875
transcript.pyannote[4094].end 16843.22159375
transcript.pyannote[4095].speaker SPEAKER_16
transcript.pyannote[4095].start 16846.46159375
transcript.pyannote[4095].end 16856.41784375
transcript.pyannote[4096].speaker SPEAKER_16
transcript.pyannote[4096].start 16856.56971875
transcript.pyannote[4096].end 16887.48471875
transcript.pyannote[4097].speaker SPEAKER_16
transcript.pyannote[4097].start 16887.72096875
transcript.pyannote[4097].end 16888.68284375
transcript.pyannote[4098].speaker SPEAKER_16
transcript.pyannote[4098].start 16889.40846875
transcript.pyannote[4098].end 16890.35346875
transcript.pyannote[4099].speaker SPEAKER_16
transcript.pyannote[4099].start 16890.52221875
transcript.pyannote[4099].end 16906.77284375
transcript.pyannote[4100].speaker SPEAKER_16
transcript.pyannote[4100].start 16906.82346875
transcript.pyannote[4100].end 16907.53221875
transcript.pyannote[4101].speaker SPEAKER_16
transcript.pyannote[4101].start 16908.24096875
transcript.pyannote[4101].end 16918.58534375
transcript.pyannote[4102].speaker SPEAKER_16
transcript.pyannote[4102].start 16919.22659375
transcript.pyannote[4102].end 16924.22159375
transcript.pyannote[4103].speaker SPEAKER_16
transcript.pyannote[4103].start 16924.99784375
transcript.pyannote[4103].end 16926.51659375
transcript.pyannote[4104].speaker SPEAKER_16
transcript.pyannote[4104].start 16927.22534375
transcript.pyannote[4104].end 16927.90034375
transcript.pyannote[4105].speaker SPEAKER_16
transcript.pyannote[4105].start 16928.27159375
transcript.pyannote[4105].end 16930.33034375
transcript.pyannote[4106].speaker SPEAKER_16
transcript.pyannote[4106].start 16930.87034375
transcript.pyannote[4106].end 16949.88846875
transcript.pyannote[4107].speaker SPEAKER_22
transcript.pyannote[4107].start 16949.88846875
transcript.pyannote[4107].end 16951.28909375
transcript.pyannote[4108].speaker SPEAKER_16
transcript.pyannote[4108].start 16951.42409375
transcript.pyannote[4108].end 16955.33909375
transcript.pyannote[4109].speaker SPEAKER_22
transcript.pyannote[4109].start 16955.33909375
transcript.pyannote[4109].end 16955.62596875
transcript.pyannote[4110].speaker SPEAKER_16
transcript.pyannote[4110].start 16955.62596875
transcript.pyannote[4110].end 16957.90409375
transcript.pyannote[4111].speaker SPEAKER_21
transcript.pyannote[4111].start 16957.90409375
transcript.pyannote[4111].end 16958.12346875
transcript.pyannote[4112].speaker SPEAKER_16
transcript.pyannote[4112].start 16958.12346875
transcript.pyannote[4112].end 16958.89971875
transcript.pyannote[4113].speaker SPEAKER_21
transcript.pyannote[4113].start 16958.89971875
transcript.pyannote[4113].end 16959.06846875
transcript.pyannote[4114].speaker SPEAKER_16
transcript.pyannote[4114].start 16959.06846875
transcript.pyannote[4114].end 16962.39284375
transcript.pyannote[4115].speaker SPEAKER_17
transcript.pyannote[4115].start 16967.70846875
transcript.pyannote[4115].end 16969.69971875
transcript.pyannote[4116].speaker SPEAKER_39
transcript.pyannote[4116].start 16977.69846875
transcript.pyannote[4116].end 16978.08659375
transcript.pyannote[4117].speaker SPEAKER_37
transcript.pyannote[4117].start 16982.71034375
transcript.pyannote[4117].end 16985.46096875
transcript.pyannote[4118].speaker SPEAKER_17
transcript.pyannote[4118].start 16985.46096875
transcript.pyannote[4118].end 16986.30471875
transcript.pyannote[4119].speaker SPEAKER_37
transcript.pyannote[4119].start 16985.54534375
transcript.pyannote[4119].end 16985.59596875
transcript.pyannote[4120].speaker SPEAKER_37
transcript.pyannote[4120].start 16985.73096875
transcript.pyannote[4120].end 16987.90784375
transcript.pyannote[4121].speaker SPEAKER_17
transcript.pyannote[4121].start 16988.29596875
transcript.pyannote[4121].end 16989.03846875
transcript.pyannote[4122].speaker SPEAKER_37
transcript.pyannote[4122].start 16993.20659375
transcript.pyannote[4122].end 16993.64534375
transcript.pyannote[4123].speaker SPEAKER_37
transcript.pyannote[4123].start 16993.94909375
transcript.pyannote[4123].end 16994.74221875
transcript.pyannote[4124].speaker SPEAKER_37
transcript.pyannote[4124].start 16994.89409375
transcript.pyannote[4124].end 16997.79659375
transcript.pyannote[4125].speaker SPEAKER_37
transcript.pyannote[4125].start 16997.91471875
transcript.pyannote[4125].end 17008.42784375
transcript.pyannote[4126].speaker SPEAKER_37
transcript.pyannote[4126].start 17008.81596875
transcript.pyannote[4126].end 17009.89596875
transcript.pyannote[4127].speaker SPEAKER_37
transcript.pyannote[4127].start 17010.01409375
transcript.pyannote[4127].end 17010.03096875
transcript.pyannote[4128].speaker SPEAKER_37
transcript.pyannote[4128].start 17010.04784375
transcript.pyannote[4128].end 17024.84721875
transcript.pyannote[4129].speaker SPEAKER_37
transcript.pyannote[4129].start 17024.96534375
transcript.pyannote[4129].end 17034.82034375
transcript.pyannote[4130].speaker SPEAKER_37
transcript.pyannote[4130].start 17035.19159375
transcript.pyannote[4130].end 17042.66721875
transcript.pyannote[4131].speaker SPEAKER_37
transcript.pyannote[4131].start 17042.81909375
transcript.pyannote[4131].end 17069.02596875
transcript.pyannote[4132].speaker SPEAKER_37
transcript.pyannote[4132].start 17069.31284375
transcript.pyannote[4132].end 17082.08721875
transcript.pyannote[4133].speaker SPEAKER_37
transcript.pyannote[4133].start 17082.20534375
transcript.pyannote[4133].end 17087.41971875
transcript.pyannote[4134].speaker SPEAKER_37
transcript.pyannote[4134].start 17087.74034375
transcript.pyannote[4134].end 17100.48096875
transcript.pyannote[4135].speaker SPEAKER_22
transcript.pyannote[4135].start 17101.03784375
transcript.pyannote[4135].end 17117.96346875
transcript.pyannote[4136].speaker SPEAKER_37
transcript.pyannote[4136].start 17117.96346875
transcript.pyannote[4136].end 17118.35159375
transcript.pyannote[4137].speaker SPEAKER_22
transcript.pyannote[4137].start 17118.35159375
transcript.pyannote[4137].end 17118.68909375
transcript.pyannote[4138].speaker SPEAKER_37
transcript.pyannote[4138].start 17118.68909375
transcript.pyannote[4138].end 17125.94534375
transcript.pyannote[4139].speaker SPEAKER_37
transcript.pyannote[4139].start 17126.06346875
transcript.pyannote[4139].end 17131.81784375
transcript.pyannote[4140].speaker SPEAKER_37
transcript.pyannote[4140].start 17132.15534375
transcript.pyannote[4140].end 17135.58096875
transcript.pyannote[4141].speaker SPEAKER_37
transcript.pyannote[4141].start 17135.86784375
transcript.pyannote[4141].end 17138.09534375
transcript.pyannote[4142].speaker SPEAKER_37
transcript.pyannote[4142].start 17138.17971875
transcript.pyannote[4142].end 17144.82846875
transcript.pyannote[4143].speaker SPEAKER_22
transcript.pyannote[4143].start 17145.99284375
transcript.pyannote[4143].end 17146.04346875
transcript.pyannote[4144].speaker SPEAKER_36
transcript.pyannote[4144].start 17146.04346875
transcript.pyannote[4144].end 17146.33034375
transcript.pyannote[4145].speaker SPEAKER_37
transcript.pyannote[4145].start 17147.02221875
transcript.pyannote[4145].end 17149.94159375
transcript.pyannote[4146].speaker SPEAKER_36
transcript.pyannote[4146].start 17151.71346875
transcript.pyannote[4146].end 17169.31409375
transcript.pyannote[4147].speaker SPEAKER_39
transcript.pyannote[4147].start 17159.02034375
transcript.pyannote[4147].end 17159.40846875
transcript.pyannote[4148].speaker SPEAKER_39
transcript.pyannote[4148].start 17162.54721875
transcript.pyannote[4148].end 17162.93534375
transcript.pyannote[4149].speaker SPEAKER_37
transcript.pyannote[4149].start 17169.31409375
transcript.pyannote[4149].end 17176.84034375
transcript.pyannote[4150].speaker SPEAKER_37
transcript.pyannote[4150].start 17176.97534375
transcript.pyannote[4150].end 17189.58096875
transcript.pyannote[4151].speaker SPEAKER_37
transcript.pyannote[4151].start 17189.86784375
transcript.pyannote[4151].end 17197.29284375
transcript.pyannote[4152].speaker SPEAKER_36
transcript.pyannote[4152].start 17197.20846875
transcript.pyannote[4152].end 17199.09846875
transcript.pyannote[4153].speaker SPEAKER_37
transcript.pyannote[4153].start 17198.57534375
transcript.pyannote[4153].end 17200.38096875
transcript.pyannote[4154].speaker SPEAKER_36
transcript.pyannote[4154].start 17200.38096875
transcript.pyannote[4154].end 17205.96659375
transcript.pyannote[4155].speaker SPEAKER_37
transcript.pyannote[4155].start 17205.79784375
transcript.pyannote[4155].end 17209.13909375
transcript.pyannote[4156].speaker SPEAKER_36
transcript.pyannote[4156].start 17209.13909375
transcript.pyannote[4156].end 17209.51034375
transcript.pyannote[4157].speaker SPEAKER_37
transcript.pyannote[4157].start 17209.22346875
transcript.pyannote[4157].end 17220.31034375
transcript.pyannote[4158].speaker SPEAKER_37
transcript.pyannote[4158].start 17220.42846875
transcript.pyannote[4158].end 17244.22221875
transcript.pyannote[4159].speaker SPEAKER_37
transcript.pyannote[4159].start 17244.54284375
transcript.pyannote[4159].end 17273.16284375
transcript.pyannote[4160].speaker SPEAKER_22
transcript.pyannote[4160].start 17273.97284375
transcript.pyannote[4160].end 17279.40659375
transcript.pyannote[4161].speaker SPEAKER_39
transcript.pyannote[4161].start 17277.12846875
transcript.pyannote[4161].end 17277.56721875
transcript.pyannote[4162].speaker SPEAKER_39
transcript.pyannote[4162].start 17279.38971875
transcript.pyannote[4162].end 17279.86221875
transcript.pyannote[4163].speaker SPEAKER_22
transcript.pyannote[4163].start 17279.86221875
transcript.pyannote[4163].end 17282.02221875
transcript.pyannote[4164].speaker SPEAKER_39
transcript.pyannote[4164].start 17282.02221875
transcript.pyannote[4164].end 17282.59596875
transcript.pyannote[4165].speaker SPEAKER_22
transcript.pyannote[4165].start 17282.59596875
transcript.pyannote[4165].end 17294.22284375
transcript.pyannote[4166].speaker SPEAKER_39
transcript.pyannote[4166].start 17289.93659375
transcript.pyannote[4166].end 17290.35846875
transcript.pyannote[4167].speaker SPEAKER_37
transcript.pyannote[4167].start 17294.22284375
transcript.pyannote[4167].end 17310.35534375
transcript.pyannote[4168].speaker SPEAKER_22
transcript.pyannote[4168].start 17310.35534375
transcript.pyannote[4168].end 17313.07221875
transcript.pyannote[4169].speaker SPEAKER_37
transcript.pyannote[4169].start 17312.86971875
transcript.pyannote[4169].end 17319.07971875
transcript.pyannote[4170].speaker SPEAKER_22
transcript.pyannote[4170].start 17316.27846875
transcript.pyannote[4170].end 17317.07159375
transcript.pyannote[4171].speaker SPEAKER_22
transcript.pyannote[4171].start 17317.49346875
transcript.pyannote[4171].end 17322.11721875
transcript.pyannote[4172].speaker SPEAKER_22
transcript.pyannote[4172].start 17322.35346875
transcript.pyannote[4172].end 17323.65284375
transcript.pyannote[4173].speaker SPEAKER_22
transcript.pyannote[4173].start 17323.66971875
transcript.pyannote[4173].end 17323.97346875
transcript.pyannote[4174].speaker SPEAKER_37
transcript.pyannote[4174].start 17323.97346875
transcript.pyannote[4174].end 17326.77471875
transcript.pyannote[4175].speaker SPEAKER_37
transcript.pyannote[4175].start 17327.12909375
transcript.pyannote[4175].end 17331.26346875
transcript.pyannote[4176].speaker SPEAKER_17
transcript.pyannote[4176].start 17348.57721875
transcript.pyannote[4176].end 17350.58534375
transcript.pyannote[4177].speaker SPEAKER_17
transcript.pyannote[4177].start 17351.19284375
transcript.pyannote[4177].end 17351.44596875
transcript.pyannote[4178].speaker SPEAKER_31
transcript.pyannote[4178].start 17359.66409375
transcript.pyannote[4178].end 17360.82846875
transcript.pyannote[4179].speaker SPEAKER_17
transcript.pyannote[4179].start 17361.45284375
transcript.pyannote[4179].end 17362.24596875
transcript.pyannote[4180].speaker SPEAKER_31
transcript.pyannote[4180].start 17370.09284375
transcript.pyannote[4180].end 17370.61596875
transcript.pyannote[4181].speaker SPEAKER_31
transcript.pyannote[4181].start 17370.78471875
transcript.pyannote[4181].end 17371.42596875
transcript.pyannote[4182].speaker SPEAKER_31
transcript.pyannote[4182].start 17371.47659375
transcript.pyannote[4182].end 17382.34409375
transcript.pyannote[4183].speaker SPEAKER_31
transcript.pyannote[4183].start 17384.95971875
transcript.pyannote[4183].end 17393.78534375
transcript.pyannote[4184].speaker SPEAKER_31
transcript.pyannote[4184].start 17394.46034375
transcript.pyannote[4184].end 17400.02909375
transcript.pyannote[4185].speaker SPEAKER_22
transcript.pyannote[4185].start 17401.27784375
transcript.pyannote[4185].end 17406.96471875
transcript.pyannote[4186].speaker SPEAKER_31
transcript.pyannote[4186].start 17406.96471875
transcript.pyannote[4186].end 17411.77409375
transcript.pyannote[4187].speaker SPEAKER_22
transcript.pyannote[4187].start 17412.65159375
transcript.pyannote[4187].end 17413.52909375
transcript.pyannote[4188].speaker SPEAKER_22
transcript.pyannote[4188].start 17414.08596875
transcript.pyannote[4188].end 17418.10221875
transcript.pyannote[4189].speaker SPEAKER_22
transcript.pyannote[4189].start 17418.79409375
transcript.pyannote[4189].end 17421.61221875
transcript.pyannote[4190].speaker SPEAKER_31
transcript.pyannote[4190].start 17421.89909375
transcript.pyannote[4190].end 17440.47846875
transcript.pyannote[4191].speaker SPEAKER_31
transcript.pyannote[4191].start 17440.73159375
transcript.pyannote[4191].end 17442.19971875
transcript.pyannote[4192].speaker SPEAKER_31
transcript.pyannote[4192].start 17442.21659375
transcript.pyannote[4192].end 17463.29346875
transcript.pyannote[4193].speaker SPEAKER_22
transcript.pyannote[4193].start 17465.75721875
transcript.pyannote[4193].end 17468.03534375
transcript.pyannote[4194].speaker SPEAKER_22
transcript.pyannote[4194].start 17468.33909375
transcript.pyannote[4194].end 17470.06034375
transcript.pyannote[4195].speaker SPEAKER_31
transcript.pyannote[4195].start 17472.15284375
transcript.pyannote[4195].end 17474.12721875
transcript.pyannote[4196].speaker SPEAKER_31
transcript.pyannote[4196].start 17475.02159375
transcript.pyannote[4196].end 17475.73034375
transcript.pyannote[4197].speaker SPEAKER_31
transcript.pyannote[4197].start 17477.24909375
transcript.pyannote[4197].end 17488.58909375
transcript.pyannote[4198].speaker SPEAKER_00
transcript.pyannote[4198].start 17483.08784375
transcript.pyannote[4198].end 17484.18471875
transcript.pyannote[4199].speaker SPEAKER_31
transcript.pyannote[4199].start 17488.90971875
transcript.pyannote[4199].end 17494.83284375
transcript.pyannote[4200].speaker SPEAKER_00
transcript.pyannote[4200].start 17490.88409375
transcript.pyannote[4200].end 17491.40721875
transcript.pyannote[4201].speaker SPEAKER_31
transcript.pyannote[4201].start 17495.38971875
transcript.pyannote[4201].end 17495.76096875
transcript.pyannote[4202].speaker SPEAKER_31
transcript.pyannote[4202].start 17496.35159375
transcript.pyannote[4202].end 17501.34659375
transcript.pyannote[4203].speaker SPEAKER_31
transcript.pyannote[4203].start 17501.92034375
transcript.pyannote[4203].end 17507.92784375
transcript.pyannote[4204].speaker SPEAKER_31
transcript.pyannote[4204].start 17508.34971875
transcript.pyannote[4204].end 17509.37909375
transcript.pyannote[4205].speaker SPEAKER_31
transcript.pyannote[4205].start 17509.83471875
transcript.pyannote[4205].end 17513.64846875
transcript.pyannote[4206].speaker SPEAKER_31
transcript.pyannote[4206].start 17513.78346875
transcript.pyannote[4206].end 17515.55534375
transcript.pyannote[4207].speaker SPEAKER_31
transcript.pyannote[4207].start 17515.80846875
transcript.pyannote[4207].end 17518.00221875
transcript.pyannote[4208].speaker SPEAKER_31
transcript.pyannote[4208].start 17518.49159375
transcript.pyannote[4208].end 17519.84159375
transcript.pyannote[4209].speaker SPEAKER_31
transcript.pyannote[4209].start 17520.16221875
transcript.pyannote[4209].end 17524.92096875
transcript.pyannote[4210].speaker SPEAKER_22
transcript.pyannote[4210].start 17523.55409375
transcript.pyannote[4210].end 17523.65534375
transcript.pyannote[4211].speaker SPEAKER_31
transcript.pyannote[4211].start 17525.22471875
transcript.pyannote[4211].end 17525.51159375
transcript.pyannote[4212].speaker SPEAKER_31
transcript.pyannote[4212].start 17525.84909375
transcript.pyannote[4212].end 17526.15284375
transcript.pyannote[4213].speaker SPEAKER_31
transcript.pyannote[4213].start 17526.25409375
transcript.pyannote[4213].end 17530.57409375
transcript.pyannote[4214].speaker SPEAKER_22
transcript.pyannote[4214].start 17531.38409375
transcript.pyannote[4214].end 17537.67846875
transcript.pyannote[4215].speaker SPEAKER_31
transcript.pyannote[4215].start 17532.68346875
transcript.pyannote[4215].end 17535.31596875
transcript.pyannote[4216].speaker SPEAKER_31
transcript.pyannote[4216].start 17536.59846875
transcript.pyannote[4216].end 17537.00346875
transcript.pyannote[4217].speaker SPEAKER_22
transcript.pyannote[4217].start 17538.23534375
transcript.pyannote[4217].end 17539.41659375
transcript.pyannote[4218].speaker SPEAKER_22
transcript.pyannote[4218].start 17540.58096875
transcript.pyannote[4218].end 17543.31471875
transcript.pyannote[4219].speaker SPEAKER_31
transcript.pyannote[4219].start 17543.31471875
transcript.pyannote[4219].end 17543.34846875
transcript.pyannote[4220].speaker SPEAKER_22
transcript.pyannote[4220].start 17543.77034375
transcript.pyannote[4220].end 17543.97284375
transcript.pyannote[4221].speaker SPEAKER_31
transcript.pyannote[4221].start 17543.97284375
transcript.pyannote[4221].end 17551.54971875
transcript.pyannote[4222].speaker SPEAKER_22
transcript.pyannote[4222].start 17549.89596875
transcript.pyannote[4222].end 17549.94659375
transcript.pyannote[4223].speaker SPEAKER_21
transcript.pyannote[4223].start 17549.94659375
transcript.pyannote[4223].end 17550.11534375
transcript.pyannote[4224].speaker SPEAKER_22
transcript.pyannote[4224].start 17550.38534375
transcript.pyannote[4224].end 17550.60471875
transcript.pyannote[4225].speaker SPEAKER_21
transcript.pyannote[4225].start 17550.60471875
transcript.pyannote[4225].end 17552.02221875
transcript.pyannote[4226].speaker SPEAKER_31
transcript.pyannote[4226].start 17552.02221875
transcript.pyannote[4226].end 17556.39284375
transcript.pyannote[4227].speaker SPEAKER_31
transcript.pyannote[4227].start 17557.43909375
transcript.pyannote[4227].end 17572.74471875
transcript.pyannote[4228].speaker SPEAKER_40
transcript.pyannote[4228].start 17564.10471875
transcript.pyannote[4228].end 17564.30721875
transcript.pyannote[4229].speaker SPEAKER_31
transcript.pyannote[4229].start 17573.21721875
transcript.pyannote[4229].end 17593.14659375
transcript.pyannote[4230].speaker SPEAKER_31
transcript.pyannote[4230].start 17593.60221875
transcript.pyannote[4230].end 17599.10346875
transcript.pyannote[4231].speaker SPEAKER_31
transcript.pyannote[4231].start 17599.42409375
transcript.pyannote[4231].end 17611.89471875
transcript.pyannote[4232].speaker SPEAKER_31
transcript.pyannote[4232].start 17612.08034375
transcript.pyannote[4232].end 17631.16596875
transcript.pyannote[4233].speaker SPEAKER_31
transcript.pyannote[4233].start 17631.62159375
transcript.pyannote[4233].end 17641.94909375
transcript.pyannote[4234].speaker SPEAKER_31
transcript.pyannote[4234].start 17642.11784375
transcript.pyannote[4234].end 17664.39284375
transcript.pyannote[4235].speaker SPEAKER_31
transcript.pyannote[4235].start 17665.16909375
transcript.pyannote[4235].end 17667.93659375
transcript.pyannote[4236].speaker SPEAKER_31
transcript.pyannote[4236].start 17668.57784375
transcript.pyannote[4236].end 17675.76659375
transcript.pyannote[4237].speaker SPEAKER_31
transcript.pyannote[4237].start 17676.25596875
transcript.pyannote[4237].end 17698.21034375
transcript.pyannote[4238].speaker SPEAKER_31
transcript.pyannote[4238].start 17698.26096875
transcript.pyannote[4238].end 17699.17221875
transcript.pyannote[4239].speaker SPEAKER_31
transcript.pyannote[4239].start 17699.56034375
transcript.pyannote[4239].end 17700.92721875
transcript.pyannote[4240].speaker SPEAKER_31
transcript.pyannote[4240].start 17701.78784375
transcript.pyannote[4240].end 17704.72409375
transcript.pyannote[4241].speaker SPEAKER_31
transcript.pyannote[4241].start 17705.26409375
transcript.pyannote[4241].end 17707.12034375
transcript.pyannote[4242].speaker SPEAKER_31
transcript.pyannote[4242].start 17707.55909375
transcript.pyannote[4242].end 17711.17034375
transcript.pyannote[4243].speaker SPEAKER_31
transcript.pyannote[4243].start 17711.64284375
transcript.pyannote[4243].end 17713.97159375
transcript.pyannote[4244].speaker SPEAKER_31
transcript.pyannote[4244].start 17714.47784375
transcript.pyannote[4244].end 17716.41846875
transcript.pyannote[4245].speaker SPEAKER_31
transcript.pyannote[4245].start 17716.89096875
transcript.pyannote[4245].end 17717.27909375
transcript.pyannote[4246].speaker SPEAKER_31
transcript.pyannote[4246].start 17717.63346875
transcript.pyannote[4246].end 17718.84846875
transcript.pyannote[4247].speaker SPEAKER_31
transcript.pyannote[4247].start 17719.27034375
transcript.pyannote[4247].end 17720.14784375
transcript.pyannote[4248].speaker SPEAKER_31
transcript.pyannote[4248].start 17720.45159375
transcript.pyannote[4248].end 17722.74659375
transcript.pyannote[4249].speaker SPEAKER_31
transcript.pyannote[4249].start 17723.30346875
transcript.pyannote[4249].end 17724.36659375
transcript.pyannote[4250].speaker SPEAKER_31
transcript.pyannote[4250].start 17724.63659375
transcript.pyannote[4250].end 17725.61534375
transcript.pyannote[4251].speaker SPEAKER_31
transcript.pyannote[4251].start 17726.17221875
transcript.pyannote[4251].end 17727.87659375
transcript.pyannote[4252].speaker SPEAKER_22
transcript.pyannote[4252].start 17727.45471875
transcript.pyannote[4252].end 17727.85971875
transcript.pyannote[4253].speaker SPEAKER_22
transcript.pyannote[4253].start 17727.87659375
transcript.pyannote[4253].end 17727.99471875
transcript.pyannote[4254].speaker SPEAKER_31
transcript.pyannote[4254].start 17727.99471875
transcript.pyannote[4254].end 17728.02846875
transcript.pyannote[4255].speaker SPEAKER_22
transcript.pyannote[4255].start 17728.02846875
transcript.pyannote[4255].end 17733.39471875
transcript.pyannote[4256].speaker SPEAKER_22
transcript.pyannote[4256].start 17733.76596875
transcript.pyannote[4256].end 17736.17909375
transcript.pyannote[4257].speaker SPEAKER_22
transcript.pyannote[4257].start 17736.60096875
transcript.pyannote[4257].end 17738.10284375
transcript.pyannote[4258].speaker SPEAKER_22
transcript.pyannote[4258].start 17738.27159375
transcript.pyannote[4258].end 17739.04784375
transcript.pyannote[4259].speaker SPEAKER_22
transcript.pyannote[4259].start 17739.60471875
transcript.pyannote[4259].end 17768.03909375
transcript.pyannote[4260].speaker SPEAKER_31
transcript.pyannote[4260].start 17743.89096875
transcript.pyannote[4260].end 17745.73034375
transcript.pyannote[4261].speaker SPEAKER_31
transcript.pyannote[4261].start 17746.35471875
transcript.pyannote[4261].end 17749.71284375
transcript.pyannote[4262].speaker SPEAKER_22
transcript.pyannote[4262].start 17768.51159375
transcript.pyannote[4262].end 17774.72159375
transcript.pyannote[4263].speaker SPEAKER_22
transcript.pyannote[4263].start 17775.39659375
transcript.pyannote[4263].end 17779.96971875
transcript.pyannote[4264].speaker SPEAKER_31
transcript.pyannote[4264].start 17779.96971875
transcript.pyannote[4264].end 17794.14471875
transcript.pyannote[4265].speaker SPEAKER_31
transcript.pyannote[4265].start 17794.22909375
transcript.pyannote[4265].end 17807.44221875
transcript.pyannote[4266].speaker SPEAKER_22
transcript.pyannote[4266].start 17803.67909375
transcript.pyannote[4266].end 17812.38659375
transcript.pyannote[4267].speaker SPEAKER_31
transcript.pyannote[4267].start 17808.64034375
transcript.pyannote[4267].end 17816.16659375
transcript.pyannote[4268].speaker SPEAKER_31
transcript.pyannote[4268].start 17816.74034375
transcript.pyannote[4268].end 17822.61284375
transcript.pyannote[4269].speaker SPEAKER_31
transcript.pyannote[4269].start 17822.91659375
transcript.pyannote[4269].end 17829.10971875
transcript.pyannote[4270].speaker SPEAKER_39
transcript.pyannote[4270].start 17834.71221875
transcript.pyannote[4270].end 17834.72909375
transcript.pyannote[4271].speaker SPEAKER_17
transcript.pyannote[4271].start 17834.72909375
transcript.pyannote[4271].end 17835.79221875
transcript.pyannote[4272].speaker SPEAKER_39
transcript.pyannote[4272].start 17835.79221875
transcript.pyannote[4272].end 17835.80909375
transcript.pyannote[4273].speaker SPEAKER_17
transcript.pyannote[4273].start 17838.49221875
transcript.pyannote[4273].end 17844.07784375
transcript.pyannote[4274].speaker SPEAKER_26
transcript.pyannote[4274].start 17859.72096875
transcript.pyannote[4274].end 17860.76721875
transcript.pyannote[4275].speaker SPEAKER_17
transcript.pyannote[4275].start 17862.79221875
transcript.pyannote[4275].end 17863.41659375
transcript.pyannote[4276].speaker SPEAKER_26
transcript.pyannote[4276].start 17870.23409375
transcript.pyannote[4276].end 17870.74034375
transcript.pyannote[4277].speaker SPEAKER_26
transcript.pyannote[4277].start 17871.22971875
transcript.pyannote[4277].end 17871.70221875
transcript.pyannote[4278].speaker SPEAKER_26
transcript.pyannote[4278].start 17872.15784375
transcript.pyannote[4278].end 17883.93659375
transcript.pyannote[4279].speaker SPEAKER_26
transcript.pyannote[4279].start 17884.61159375
transcript.pyannote[4279].end 17891.14221875
transcript.pyannote[4280].speaker SPEAKER_26
transcript.pyannote[4280].start 17891.53034375
transcript.pyannote[4280].end 17907.35909375
transcript.pyannote[4281].speaker SPEAKER_26
transcript.pyannote[4281].start 17907.61221875
transcript.pyannote[4281].end 17919.52596875
transcript.pyannote[4282].speaker SPEAKER_26
transcript.pyannote[4282].start 17920.03221875
transcript.pyannote[4282].end 17922.36096875
transcript.pyannote[4283].speaker SPEAKER_26
transcript.pyannote[4283].start 17922.66471875
transcript.pyannote[4283].end 17924.09909375
transcript.pyannote[4284].speaker SPEAKER_26
transcript.pyannote[4284].start 17924.31846875
transcript.pyannote[4284].end 17926.54596875
transcript.pyannote[4285].speaker SPEAKER_26
transcript.pyannote[4285].start 17927.22096875
transcript.pyannote[4285].end 17934.22409375
transcript.pyannote[4286].speaker SPEAKER_26
transcript.pyannote[4286].start 17934.59534375
transcript.pyannote[4286].end 17941.85159375
transcript.pyannote[4287].speaker SPEAKER_26
transcript.pyannote[4287].start 17942.62784375
transcript.pyannote[4287].end 17943.75846875
transcript.pyannote[4288].speaker SPEAKER_26
transcript.pyannote[4288].start 17944.50096875
transcript.pyannote[4288].end 17950.66034375
transcript.pyannote[4289].speaker SPEAKER_26
transcript.pyannote[4289].start 17950.91346875
transcript.pyannote[4289].end 17961.61221875
transcript.pyannote[4290].speaker SPEAKER_26
transcript.pyannote[4290].start 17961.76409375
transcript.pyannote[4290].end 17965.03784375
transcript.pyannote[4291].speaker SPEAKER_22
transcript.pyannote[4291].start 17965.03784375
transcript.pyannote[4291].end 17965.34159375
transcript.pyannote[4292].speaker SPEAKER_26
transcript.pyannote[4292].start 17965.34159375
transcript.pyannote[4292].end 17965.40909375
transcript.pyannote[4293].speaker SPEAKER_22
transcript.pyannote[4293].start 17965.40909375
transcript.pyannote[4293].end 17965.52721875
transcript.pyannote[4294].speaker SPEAKER_26
transcript.pyannote[4294].start 17965.84784375
transcript.pyannote[4294].end 17965.86471875
transcript.pyannote[4295].speaker SPEAKER_22
transcript.pyannote[4295].start 17965.86471875
transcript.pyannote[4295].end 17969.25659375
transcript.pyannote[4296].speaker SPEAKER_22
transcript.pyannote[4296].start 17969.66159375
transcript.pyannote[4296].end 17972.64846875
transcript.pyannote[4297].speaker SPEAKER_22
transcript.pyannote[4297].start 17973.01971875
transcript.pyannote[4297].end 17976.29346875
transcript.pyannote[4298].speaker SPEAKER_22
transcript.pyannote[4298].start 17976.76596875
transcript.pyannote[4298].end 17977.69409375
transcript.pyannote[4299].speaker SPEAKER_22
transcript.pyannote[4299].start 17977.98096875
transcript.pyannote[4299].end 17980.10721875
transcript.pyannote[4300].speaker SPEAKER_26
transcript.pyannote[4300].start 17979.26346875
transcript.pyannote[4300].end 17981.33909375
transcript.pyannote[4301].speaker SPEAKER_26
transcript.pyannote[4301].start 17981.52471875
transcript.pyannote[4301].end 17983.46534375
transcript.pyannote[4302].speaker SPEAKER_22
transcript.pyannote[4302].start 17983.02659375
transcript.pyannote[4302].end 17993.70846875
transcript.pyannote[4303].speaker SPEAKER_22
transcript.pyannote[4303].start 17994.24846875
transcript.pyannote[4303].end 17998.58534375
transcript.pyannote[4304].speaker SPEAKER_22
transcript.pyannote[4304].start 17998.70346875
transcript.pyannote[4304].end 18001.31909375
transcript.pyannote[4305].speaker SPEAKER_22
transcript.pyannote[4305].start 18001.72409375
transcript.pyannote[4305].end 18005.70659375
transcript.pyannote[4306].speaker SPEAKER_22
transcript.pyannote[4306].start 18006.38159375
transcript.pyannote[4306].end 18008.37284375
transcript.pyannote[4307].speaker SPEAKER_22
transcript.pyannote[4307].start 18008.55846875
transcript.pyannote[4307].end 18013.82346875
transcript.pyannote[4308].speaker SPEAKER_22
transcript.pyannote[4308].start 18013.95846875
transcript.pyannote[4308].end 18014.09346875
transcript.pyannote[4309].speaker SPEAKER_26
transcript.pyannote[4309].start 18014.09346875
transcript.pyannote[4309].end 18014.11034375
transcript.pyannote[4310].speaker SPEAKER_22
transcript.pyannote[4310].start 18014.11034375
transcript.pyannote[4310].end 18014.17784375
transcript.pyannote[4311].speaker SPEAKER_26
transcript.pyannote[4311].start 18014.17784375
transcript.pyannote[4311].end 18014.36346875
transcript.pyannote[4312].speaker SPEAKER_22
transcript.pyannote[4312].start 18014.36346875
transcript.pyannote[4312].end 18027.59346875
transcript.pyannote[4313].speaker SPEAKER_26
transcript.pyannote[4313].start 18014.63346875
transcript.pyannote[4313].end 18015.86534375
transcript.pyannote[4314].speaker SPEAKER_22
transcript.pyannote[4314].start 18027.94784375
transcript.pyannote[4314].end 18039.79409375
transcript.pyannote[4315].speaker SPEAKER_22
transcript.pyannote[4315].start 18039.99659375
transcript.pyannote[4315].end 18051.37034375
transcript.pyannote[4316].speaker SPEAKER_22
transcript.pyannote[4316].start 18051.77534375
transcript.pyannote[4316].end 18056.12909375
transcript.pyannote[4317].speaker SPEAKER_22
transcript.pyannote[4317].start 18056.26409375
transcript.pyannote[4317].end 18065.66346875
transcript.pyannote[4318].speaker SPEAKER_26
transcript.pyannote[4318].start 18065.66346875
transcript.pyannote[4318].end 18068.19471875
transcript.pyannote[4319].speaker SPEAKER_22
transcript.pyannote[4319].start 18068.97096875
transcript.pyannote[4319].end 18096.32534375
transcript.pyannote[4320].speaker SPEAKER_26
transcript.pyannote[4320].start 18078.85971875
transcript.pyannote[4320].end 18079.24784375
transcript.pyannote[4321].speaker SPEAKER_39
transcript.pyannote[4321].start 18096.32534375
transcript.pyannote[4321].end 18096.64596875
transcript.pyannote[4322].speaker SPEAKER_22
transcript.pyannote[4322].start 18096.64596875
transcript.pyannote[4322].end 18097.33784375
transcript.pyannote[4323].speaker SPEAKER_22
transcript.pyannote[4323].start 18097.94534375
transcript.pyannote[4323].end 18102.53534375
transcript.pyannote[4324].speaker SPEAKER_22
transcript.pyannote[4324].start 18102.99096875
transcript.pyannote[4324].end 18110.53409375
transcript.pyannote[4325].speaker SPEAKER_22
transcript.pyannote[4325].start 18111.14159375
transcript.pyannote[4325].end 18113.97659375
transcript.pyannote[4326].speaker SPEAKER_26
transcript.pyannote[4326].start 18113.97659375
transcript.pyannote[4326].end 18114.44909375
transcript.pyannote[4327].speaker SPEAKER_22
transcript.pyannote[4327].start 18114.44909375
transcript.pyannote[4327].end 18114.49971875
transcript.pyannote[4328].speaker SPEAKER_26
transcript.pyannote[4328].start 18114.95534375
transcript.pyannote[4328].end 18122.66721875
transcript.pyannote[4329].speaker SPEAKER_26
transcript.pyannote[4329].start 18123.00471875
transcript.pyannote[4329].end 18124.08471875
transcript.pyannote[4330].speaker SPEAKER_26
transcript.pyannote[4330].start 18124.28721875
transcript.pyannote[4330].end 18159.20159375
transcript.pyannote[4331].speaker SPEAKER_45
transcript.pyannote[4331].start 18142.93409375
transcript.pyannote[4331].end 18142.96784375
transcript.pyannote[4332].speaker SPEAKER_40
transcript.pyannote[4332].start 18142.96784375
transcript.pyannote[4332].end 18143.23784375
transcript.pyannote[4333].speaker SPEAKER_40
transcript.pyannote[4333].start 18144.09846875
transcript.pyannote[4333].end 18144.13221875
transcript.pyannote[4334].speaker SPEAKER_26
transcript.pyannote[4334].start 18159.48846875
transcript.pyannote[4334].end 18159.87659375
transcript.pyannote[4335].speaker SPEAKER_26
transcript.pyannote[4335].start 18160.28159375
transcript.pyannote[4335].end 18179.35034375
transcript.pyannote[4336].speaker SPEAKER_26
transcript.pyannote[4336].start 18179.51909375
transcript.pyannote[4336].end 18180.26159375
transcript.pyannote[4337].speaker SPEAKER_17
transcript.pyannote[4337].start 18184.21034375
transcript.pyannote[4337].end 18185.10471875
transcript.pyannote[4338].speaker SPEAKER_21
transcript.pyannote[4338].start 18199.41471875
transcript.pyannote[4338].end 18201.45659375
transcript.pyannote[4339].speaker SPEAKER_07
transcript.pyannote[4339].start 18250.96784375
transcript.pyannote[4339].end 18251.08596875
transcript.pyannote[4340].speaker SPEAKER_07
transcript.pyannote[4340].start 18251.59221875
transcript.pyannote[4340].end 18254.02221875
transcript.pyannote[4341].speaker SPEAKER_39
transcript.pyannote[4341].start 18254.02221875
transcript.pyannote[4341].end 18257.51534375
transcript.pyannote[4342].speaker SPEAKER_07
transcript.pyannote[4342].start 18254.68034375
transcript.pyannote[4342].end 18257.43096875
transcript.pyannote[4343].speaker SPEAKER_15
transcript.pyannote[4343].start 18257.51534375
transcript.pyannote[4343].end 18260.02971875
transcript.pyannote[4344].speaker SPEAKER_15
transcript.pyannote[4344].start 18260.45159375
transcript.pyannote[4344].end 18260.50221875
transcript.pyannote[4345].speaker SPEAKER_07
transcript.pyannote[4345].start 18260.50221875
transcript.pyannote[4345].end 18260.70471875
transcript.pyannote[4346].speaker SPEAKER_15
transcript.pyannote[4346].start 18260.70471875
transcript.pyannote[4346].end 18260.95784375
transcript.pyannote[4347].speaker SPEAKER_17
transcript.pyannote[4347].start 18495.48659375
transcript.pyannote[4347].end 18498.92909375
transcript.pyannote[4348].speaker SPEAKER_42
transcript.pyannote[4348].start 18502.38846875
transcript.pyannote[4348].end 18502.40534375
transcript.pyannote[4349].speaker SPEAKER_45
transcript.pyannote[4349].start 18502.40534375
transcript.pyannote[4349].end 18502.86096875
transcript.pyannote[4350].speaker SPEAKER_24
transcript.pyannote[4350].start 18509.56034375
transcript.pyannote[4350].end 18512.46284375
transcript.pyannote[4351].speaker SPEAKER_24
transcript.pyannote[4351].start 18512.58096875
transcript.pyannote[4351].end 18513.28971875
transcript.pyannote[4352].speaker SPEAKER_24
transcript.pyannote[4352].start 18521.38971875
transcript.pyannote[4352].end 18532.18971875
transcript.pyannote[4353].speaker SPEAKER_24
transcript.pyannote[4353].start 18532.35846875
transcript.pyannote[4353].end 18534.38346875
transcript.pyannote[4354].speaker SPEAKER_24
transcript.pyannote[4354].start 18534.60284375
transcript.pyannote[4354].end 18535.73346875
transcript.pyannote[4355].speaker SPEAKER_24
transcript.pyannote[4355].start 18536.15534375
transcript.pyannote[4355].end 18536.81346875
transcript.pyannote[4356].speaker SPEAKER_24
transcript.pyannote[4356].start 18537.26909375
transcript.pyannote[4356].end 18548.13659375
transcript.pyannote[4357].speaker SPEAKER_24
transcript.pyannote[4357].start 18548.38971875
transcript.pyannote[4357].end 18557.28284375
transcript.pyannote[4358].speaker SPEAKER_24
transcript.pyannote[4358].start 18557.82284375
transcript.pyannote[4358].end 18566.34471875
transcript.pyannote[4359].speaker SPEAKER_24
transcript.pyannote[4359].start 18566.96909375
transcript.pyannote[4359].end 18568.03221875
transcript.pyannote[4360].speaker SPEAKER_24
transcript.pyannote[4360].start 18568.67346875
transcript.pyannote[4360].end 18584.28284375
transcript.pyannote[4361].speaker SPEAKER_24
transcript.pyannote[4361].start 18584.60346875
transcript.pyannote[4361].end 18616.53096875
transcript.pyannote[4362].speaker SPEAKER_24
transcript.pyannote[4362].start 18617.42534375
transcript.pyannote[4362].end 18617.89784375
transcript.pyannote[4363].speaker SPEAKER_05
transcript.pyannote[4363].start 18617.62784375
transcript.pyannote[4363].end 18617.69534375
transcript.pyannote[4364].speaker SPEAKER_24
transcript.pyannote[4364].start 18618.28596875
transcript.pyannote[4364].end 18620.42909375
transcript.pyannote[4365].speaker SPEAKER_24
transcript.pyannote[4365].start 18620.81721875
transcript.pyannote[4365].end 18636.39284375
transcript.pyannote[4366].speaker SPEAKER_24
transcript.pyannote[4366].start 18637.15221875
transcript.pyannote[4366].end 18639.16034375
transcript.pyannote[4367].speaker SPEAKER_24
transcript.pyannote[4367].start 18639.64971875
transcript.pyannote[4367].end 18678.96846875
transcript.pyannote[4368].speaker SPEAKER_22
transcript.pyannote[4368].start 18678.96846875
transcript.pyannote[4368].end 18687.65909375
transcript.pyannote[4369].speaker SPEAKER_22
transcript.pyannote[4369].start 18688.09784375
transcript.pyannote[4369].end 18689.21159375
transcript.pyannote[4370].speaker SPEAKER_22
transcript.pyannote[4370].start 18689.66721875
transcript.pyannote[4370].end 18694.45971875
transcript.pyannote[4371].speaker SPEAKER_22
transcript.pyannote[4371].start 18695.28659375
transcript.pyannote[4371].end 18696.83909375
transcript.pyannote[4372].speaker SPEAKER_22
transcript.pyannote[4372].start 18697.19346875
transcript.pyannote[4372].end 18697.21034375
transcript.pyannote[4373].speaker SPEAKER_24
transcript.pyannote[4373].start 18697.21034375
transcript.pyannote[4373].end 18703.25159375
transcript.pyannote[4374].speaker SPEAKER_24
transcript.pyannote[4374].start 18703.53846875
transcript.pyannote[4374].end 18715.23284375
transcript.pyannote[4375].speaker SPEAKER_22
transcript.pyannote[4375].start 18715.23284375
transcript.pyannote[4375].end 18715.28346875
transcript.pyannote[4376].speaker SPEAKER_24
transcript.pyannote[4376].start 18715.95846875
transcript.pyannote[4376].end 18715.97534375
transcript.pyannote[4377].speaker SPEAKER_22
transcript.pyannote[4377].start 18715.97534375
transcript.pyannote[4377].end 18722.28659375
transcript.pyannote[4378].speaker SPEAKER_22
transcript.pyannote[4378].start 18722.53971875
transcript.pyannote[4378].end 18728.20971875
transcript.pyannote[4379].speaker SPEAKER_22
transcript.pyannote[4379].start 18728.53034375
transcript.pyannote[4379].end 18735.02721875
transcript.pyannote[4380].speaker SPEAKER_24
transcript.pyannote[4380].start 18735.02721875
transcript.pyannote[4380].end 18741.96284375
transcript.pyannote[4381].speaker SPEAKER_22
transcript.pyannote[4381].start 18741.96284375
transcript.pyannote[4381].end 18747.02534375
transcript.pyannote[4382].speaker SPEAKER_24
transcript.pyannote[4382].start 18747.02534375
transcript.pyannote[4382].end 18752.59409375
transcript.pyannote[4383].speaker SPEAKER_24
transcript.pyannote[4383].start 18752.79659375
transcript.pyannote[4383].end 18849.99659375
transcript.pyannote[4384].speaker SPEAKER_24
transcript.pyannote[4384].start 18850.94159375
transcript.pyannote[4384].end 18852.91596875
transcript.pyannote[4385].speaker SPEAKER_24
transcript.pyannote[4385].start 18853.27034375
transcript.pyannote[4385].end 18872.98034375
transcript.pyannote[4386].speaker SPEAKER_24
transcript.pyannote[4386].start 18873.31784375
transcript.pyannote[4386].end 18891.44159375
transcript.pyannote[4387].speaker SPEAKER_24
transcript.pyannote[4387].start 18891.64409375
transcript.pyannote[4387].end 18897.11159375
transcript.pyannote[4388].speaker SPEAKER_24
transcript.pyannote[4388].start 18897.68534375
transcript.pyannote[4388].end 18898.91721875
transcript.pyannote[4389].speaker SPEAKER_24
transcript.pyannote[4389].start 18899.50784375
transcript.pyannote[4389].end 18912.61971875
transcript.pyannote[4390].speaker SPEAKER_24
transcript.pyannote[4390].start 18912.67034375
transcript.pyannote[4390].end 18914.56034375
transcript.pyannote[4391].speaker SPEAKER_22
transcript.pyannote[4391].start 18914.56034375
transcript.pyannote[4391].end 18914.57721875
transcript.pyannote[4392].speaker SPEAKER_24
transcript.pyannote[4392].start 18915.33659375
transcript.pyannote[4392].end 18915.37034375
transcript.pyannote[4393].speaker SPEAKER_22
transcript.pyannote[4393].start 18915.37034375
transcript.pyannote[4393].end 18917.61471875
transcript.pyannote[4394].speaker SPEAKER_20
transcript.pyannote[4394].start 18918.50909375
transcript.pyannote[4394].end 18924.55034375
transcript.pyannote[4395].speaker SPEAKER_20
transcript.pyannote[4395].start 18924.92159375
transcript.pyannote[4395].end 18930.84471875
transcript.pyannote[4396].speaker SPEAKER_24
transcript.pyannote[4396].start 18930.54096875
transcript.pyannote[4396].end 18936.19409375
transcript.pyannote[4397].speaker SPEAKER_20
transcript.pyannote[4397].start 18935.63721875
transcript.pyannote[4397].end 18937.99971875
transcript.pyannote[4398].speaker SPEAKER_24
transcript.pyannote[4398].start 18937.61159375
transcript.pyannote[4398].end 18954.43596875
transcript.pyannote[4399].speaker SPEAKER_20
transcript.pyannote[4399].start 18954.26721875
transcript.pyannote[4399].end 18958.65471875
transcript.pyannote[4400].speaker SPEAKER_24
transcript.pyannote[4400].start 18958.78971875
transcript.pyannote[4400].end 18960.35909375
transcript.pyannote[4401].speaker SPEAKER_24
transcript.pyannote[4401].start 18960.44346875
transcript.pyannote[4401].end 18975.46221875
transcript.pyannote[4402].speaker SPEAKER_20
transcript.pyannote[4402].start 18969.96096875
transcript.pyannote[4402].end 18970.55159375
transcript.pyannote[4403].speaker SPEAKER_20
transcript.pyannote[4403].start 18974.55096875
transcript.pyannote[4403].end 18977.36909375
transcript.pyannote[4404].speaker SPEAKER_24
transcript.pyannote[4404].start 18977.60534375
transcript.pyannote[4404].end 18980.32221875
transcript.pyannote[4405].speaker SPEAKER_20
transcript.pyannote[4405].start 18980.32221875
transcript.pyannote[4405].end 18980.89596875
transcript.pyannote[4406].speaker SPEAKER_24
transcript.pyannote[4406].start 18980.89596875
transcript.pyannote[4406].end 18987.71346875
transcript.pyannote[4407].speaker SPEAKER_20
transcript.pyannote[4407].start 18988.42221875
transcript.pyannote[4407].end 18992.48909375
transcript.pyannote[4408].speaker SPEAKER_24
transcript.pyannote[4408].start 18989.36721875
transcript.pyannote[4408].end 18989.97471875
transcript.pyannote[4409].speaker SPEAKER_24
transcript.pyannote[4409].start 18990.48096875
transcript.pyannote[4409].end 18991.62846875
transcript.pyannote[4410].speaker SPEAKER_24
transcript.pyannote[4410].start 18992.35409375
transcript.pyannote[4410].end 18995.72909375
transcript.pyannote[4411].speaker SPEAKER_24
transcript.pyannote[4411].start 18995.98221875
transcript.pyannote[4411].end 19000.36971875
transcript.pyannote[4412].speaker SPEAKER_24
transcript.pyannote[4412].start 19000.74096875
transcript.pyannote[4412].end 19026.44159375
transcript.pyannote[4413].speaker SPEAKER_24
transcript.pyannote[4413].start 19026.93096875
transcript.pyannote[4413].end 19055.34846875
transcript.pyannote[4414].speaker SPEAKER_24
transcript.pyannote[4414].start 19055.60159375
transcript.pyannote[4414].end 19106.51346875
transcript.pyannote[4415].speaker SPEAKER_22
transcript.pyannote[4415].start 19107.47534375
transcript.pyannote[4415].end 19112.25096875
transcript.pyannote[4416].speaker SPEAKER_24
transcript.pyannote[4416].start 19111.84596875
transcript.pyannote[4416].end 19112.40284375
transcript.pyannote[4417].speaker SPEAKER_22
transcript.pyannote[4417].start 19112.40284375
transcript.pyannote[4417].end 19113.02721875
transcript.pyannote[4418].speaker SPEAKER_24
transcript.pyannote[4418].start 19113.02721875
transcript.pyannote[4418].end 19113.87096875
transcript.pyannote[4419].speaker SPEAKER_22
transcript.pyannote[4419].start 19115.71034375
transcript.pyannote[4419].end 19121.63346875
transcript.pyannote[4420].speaker SPEAKER_24
transcript.pyannote[4420].start 19120.06409375
transcript.pyannote[4420].end 19121.34659375
transcript.pyannote[4421].speaker SPEAKER_22
transcript.pyannote[4421].start 19122.37596875
transcript.pyannote[4421].end 19128.02909375
transcript.pyannote[4422].speaker SPEAKER_24
transcript.pyannote[4422].start 19124.14784375
transcript.pyannote[4422].end 19125.54846875
transcript.pyannote[4423].speaker SPEAKER_24
transcript.pyannote[4423].start 19128.02909375
transcript.pyannote[4423].end 19134.88034375
transcript.pyannote[4424].speaker SPEAKER_24
transcript.pyannote[4424].start 19135.45409375
transcript.pyannote[4424].end 19135.97721875
transcript.pyannote[4425].speaker SPEAKER_22
transcript.pyannote[4425].start 19135.97721875
transcript.pyannote[4425].end 19138.00221875
transcript.pyannote[4426].speaker SPEAKER_17
transcript.pyannote[4426].start 19144.85346875
transcript.pyannote[4426].end 19155.19784375
transcript.pyannote[4427].speaker SPEAKER_17
transcript.pyannote[4427].start 19155.34971875
transcript.pyannote[4427].end 19156.07534375
transcript.pyannote[4428].speaker SPEAKER_17
transcript.pyannote[4428].start 19156.26096875
transcript.pyannote[4428].end 19160.88471875
transcript.pyannote[4429].speaker SPEAKER_17
transcript.pyannote[4429].start 19160.93534375
transcript.pyannote[4429].end 19173.25409375
transcript.pyannote[4430].speaker SPEAKER_13
transcript.pyannote[4430].start 19180.45971875
transcript.pyannote[4430].end 19181.52284375
transcript.pyannote[4431].speaker SPEAKER_17
transcript.pyannote[4431].start 19181.87721875
transcript.pyannote[4431].end 19182.41721875
transcript.pyannote[4432].speaker SPEAKER_13
transcript.pyannote[4432].start 19182.41721875
transcript.pyannote[4432].end 19182.55221875
transcript.pyannote[4433].speaker SPEAKER_44
transcript.pyannote[4433].start 19189.99409375
transcript.pyannote[4433].end 19190.50034375
transcript.pyannote[4434].speaker SPEAKER_13
transcript.pyannote[4434].start 19190.14596875
transcript.pyannote[4434].end 19190.33159375
transcript.pyannote[4435].speaker SPEAKER_13
transcript.pyannote[4435].start 19190.50034375
transcript.pyannote[4435].end 19196.27159375
transcript.pyannote[4436].speaker SPEAKER_13
transcript.pyannote[4436].start 19196.54159375
transcript.pyannote[4436].end 19198.44846875
transcript.pyannote[4437].speaker SPEAKER_13
transcript.pyannote[4437].start 19199.19096875
transcript.pyannote[4437].end 19199.91659375
transcript.pyannote[4438].speaker SPEAKER_13
transcript.pyannote[4438].start 19200.62534375
transcript.pyannote[4438].end 19203.47721875
transcript.pyannote[4439].speaker SPEAKER_13
transcript.pyannote[4439].start 19203.93284375
transcript.pyannote[4439].end 19207.76346875
transcript.pyannote[4440].speaker SPEAKER_13
transcript.pyannote[4440].start 19208.05034375
transcript.pyannote[4440].end 19209.31596875
transcript.pyannote[4441].speaker SPEAKER_13
transcript.pyannote[4441].start 19210.26096875
transcript.pyannote[4441].end 19213.65284375
transcript.pyannote[4442].speaker SPEAKER_13
transcript.pyannote[4442].start 19213.92284375
transcript.pyannote[4442].end 19216.06596875
transcript.pyannote[4443].speaker SPEAKER_13
transcript.pyannote[4443].start 19216.72409375
transcript.pyannote[4443].end 19217.53409375
transcript.pyannote[4444].speaker SPEAKER_13
transcript.pyannote[4444].start 19217.87159375
transcript.pyannote[4444].end 19218.63096875
transcript.pyannote[4445].speaker SPEAKER_13
transcript.pyannote[4445].start 19219.12034375
transcript.pyannote[4445].end 19223.38971875
transcript.pyannote[4446].speaker SPEAKER_13
transcript.pyannote[4446].start 19224.21659375
transcript.pyannote[4446].end 19227.15284375
transcript.pyannote[4447].speaker SPEAKER_13
transcript.pyannote[4447].start 19227.59159375
transcript.pyannote[4447].end 19229.95409375
transcript.pyannote[4448].speaker SPEAKER_22
transcript.pyannote[4448].start 19230.81471875
transcript.pyannote[4448].end 19234.05471875
transcript.pyannote[4449].speaker SPEAKER_13
transcript.pyannote[4449].start 19232.48534375
transcript.pyannote[4449].end 19238.23971875
transcript.pyannote[4450].speaker SPEAKER_22
transcript.pyannote[4450].start 19238.23971875
transcript.pyannote[4450].end 19240.45034375
transcript.pyannote[4451].speaker SPEAKER_13
transcript.pyannote[4451].start 19240.07909375
transcript.pyannote[4451].end 19244.04471875
transcript.pyannote[4452].speaker SPEAKER_13
transcript.pyannote[4452].start 19244.51721875
transcript.pyannote[4452].end 19247.03159375
transcript.pyannote[4453].speaker SPEAKER_13
transcript.pyannote[4453].start 19247.43659375
transcript.pyannote[4453].end 19250.42346875
transcript.pyannote[4454].speaker SPEAKER_22
transcript.pyannote[4454].start 19251.28409375
transcript.pyannote[4454].end 19252.04346875
transcript.pyannote[4455].speaker SPEAKER_22
transcript.pyannote[4455].start 19252.63409375
transcript.pyannote[4455].end 19253.96721875
transcript.pyannote[4456].speaker SPEAKER_13
transcript.pyannote[4456].start 19253.96721875
transcript.pyannote[4456].end 19256.93721875
transcript.pyannote[4457].speaker SPEAKER_22
transcript.pyannote[4457].start 19254.38909375
transcript.pyannote[4457].end 19254.69284375
transcript.pyannote[4458].speaker SPEAKER_13
transcript.pyannote[4458].start 19257.34221875
transcript.pyannote[4458].end 19260.27846875
transcript.pyannote[4459].speaker SPEAKER_13
transcript.pyannote[4459].start 19260.59909375
transcript.pyannote[4459].end 19265.03721875
transcript.pyannote[4460].speaker SPEAKER_13
transcript.pyannote[4460].start 19265.08784375
transcript.pyannote[4460].end 19265.40846875
transcript.pyannote[4461].speaker SPEAKER_13
transcript.pyannote[4461].start 19265.74596875
transcript.pyannote[4461].end 19266.89346875
transcript.pyannote[4462].speaker SPEAKER_35
transcript.pyannote[4462].start 19270.13346875
transcript.pyannote[4462].end 19270.47096875
transcript.pyannote[4463].speaker SPEAKER_35
transcript.pyannote[4463].start 19270.82534375
transcript.pyannote[4463].end 19272.47909375
transcript.pyannote[4464].speaker SPEAKER_35
transcript.pyannote[4464].start 19272.54659375
transcript.pyannote[4464].end 19275.73596875
transcript.pyannote[4465].speaker SPEAKER_13
transcript.pyannote[4465].start 19275.46596875
transcript.pyannote[4465].end 19277.62596875
transcript.pyannote[4466].speaker SPEAKER_13
transcript.pyannote[4466].start 19278.18284375
transcript.pyannote[4466].end 19283.63346875
transcript.pyannote[4467].speaker SPEAKER_35
transcript.pyannote[4467].start 19283.83596875
transcript.pyannote[4467].end 19296.22221875
transcript.pyannote[4468].speaker SPEAKER_13
transcript.pyannote[4468].start 19294.80471875
transcript.pyannote[4468].end 19297.90971875
transcript.pyannote[4469].speaker SPEAKER_35
transcript.pyannote[4469].start 19297.90971875
transcript.pyannote[4469].end 19308.52409375
transcript.pyannote[4470].speaker SPEAKER_13
transcript.pyannote[4470].start 19299.07409375
transcript.pyannote[4470].end 19300.18784375
transcript.pyannote[4471].speaker SPEAKER_13
transcript.pyannote[4471].start 19306.43159375
transcript.pyannote[4471].end 19311.54471875
transcript.pyannote[4472].speaker SPEAKER_35
transcript.pyannote[4472].start 19311.40971875
transcript.pyannote[4472].end 19311.71346875
transcript.pyannote[4473].speaker SPEAKER_13
transcript.pyannote[4473].start 19311.64596875
transcript.pyannote[4473].end 19314.86909375
transcript.pyannote[4474].speaker SPEAKER_13
transcript.pyannote[4474].start 19315.74659375
transcript.pyannote[4474].end 19318.09221875
transcript.pyannote[4475].speaker SPEAKER_13
transcript.pyannote[4475].start 19318.22721875
transcript.pyannote[4475].end 19318.24409375
transcript.pyannote[4476].speaker SPEAKER_22
transcript.pyannote[4476].start 19318.24409375
transcript.pyannote[4476].end 19323.96471875
transcript.pyannote[4477].speaker SPEAKER_13
transcript.pyannote[4477].start 19323.96471875
transcript.pyannote[4477].end 19333.44846875
transcript.pyannote[4478].speaker SPEAKER_13
transcript.pyannote[4478].start 19333.80284375
transcript.pyannote[4478].end 19334.05596875
transcript.pyannote[4479].speaker SPEAKER_13
transcript.pyannote[4479].start 19334.76471875
transcript.pyannote[4479].end 19339.25346875
transcript.pyannote[4480].speaker SPEAKER_13
transcript.pyannote[4480].start 19339.47284375
transcript.pyannote[4480].end 19342.07159375
transcript.pyannote[4481].speaker SPEAKER_22
transcript.pyannote[4481].start 19343.97846875
transcript.pyannote[4481].end 19347.04971875
transcript.pyannote[4482].speaker SPEAKER_13
transcript.pyannote[4482].start 19345.88534375
transcript.pyannote[4482].end 19347.16784375
transcript.pyannote[4483].speaker SPEAKER_22
transcript.pyannote[4483].start 19347.16784375
transcript.pyannote[4483].end 19347.57284375
transcript.pyannote[4484].speaker SPEAKER_13
transcript.pyannote[4484].start 19347.57284375
transcript.pyannote[4484].end 19347.75846875
transcript.pyannote[4485].speaker SPEAKER_22
transcript.pyannote[4485].start 19347.75846875
transcript.pyannote[4485].end 19347.96096875
transcript.pyannote[4486].speaker SPEAKER_13
transcript.pyannote[4486].start 19347.96096875
transcript.pyannote[4486].end 19350.03659375
transcript.pyannote[4487].speaker SPEAKER_13
transcript.pyannote[4487].start 19350.23909375
transcript.pyannote[4487].end 19357.27596875
transcript.pyannote[4488].speaker SPEAKER_13
transcript.pyannote[4488].start 19357.69784375
transcript.pyannote[4488].end 19362.86159375
transcript.pyannote[4489].speaker SPEAKER_13
transcript.pyannote[4489].start 19363.43534375
transcript.pyannote[4489].end 19364.02596875
transcript.pyannote[4490].speaker SPEAKER_13
transcript.pyannote[4490].start 19364.19471875
transcript.pyannote[4490].end 19364.41409375
transcript.pyannote[4491].speaker SPEAKER_13
transcript.pyannote[4491].start 19365.29159375
transcript.pyannote[4491].end 19366.11846875
transcript.pyannote[4492].speaker SPEAKER_13
transcript.pyannote[4492].start 19366.87784375
transcript.pyannote[4492].end 19368.16034375
transcript.pyannote[4493].speaker SPEAKER_13
transcript.pyannote[4493].start 19368.97034375
transcript.pyannote[4493].end 19370.48909375
transcript.pyannote[4494].speaker SPEAKER_13
transcript.pyannote[4494].start 19370.64096875
transcript.pyannote[4494].end 19371.72096875
transcript.pyannote[4495].speaker SPEAKER_13
transcript.pyannote[4495].start 19372.04159375
transcript.pyannote[4495].end 19374.58971875
transcript.pyannote[4496].speaker SPEAKER_13
transcript.pyannote[4496].start 19374.89346875
transcript.pyannote[4496].end 19376.32784375
transcript.pyannote[4497].speaker SPEAKER_13
transcript.pyannote[4497].start 19376.74971875
transcript.pyannote[4497].end 19377.61034375
transcript.pyannote[4498].speaker SPEAKER_22
transcript.pyannote[4498].start 19380.24284375
transcript.pyannote[4498].end 19381.06971875
transcript.pyannote[4499].speaker SPEAKER_13
transcript.pyannote[4499].start 19381.45784375
transcript.pyannote[4499].end 19381.47471875
transcript.pyannote[4500].speaker SPEAKER_35
transcript.pyannote[4500].start 19381.47471875
transcript.pyannote[4500].end 19382.77409375
transcript.pyannote[4501].speaker SPEAKER_22
transcript.pyannote[4501].start 19383.02721875
transcript.pyannote[4501].end 19383.29721875
transcript.pyannote[4502].speaker SPEAKER_35
transcript.pyannote[4502].start 19383.97221875
transcript.pyannote[4502].end 19394.60346875
transcript.pyannote[4503].speaker SPEAKER_13
transcript.pyannote[4503].start 19393.45596875
transcript.pyannote[4503].end 19393.47284375
transcript.pyannote[4504].speaker SPEAKER_13
transcript.pyannote[4504].start 19393.84409375
transcript.pyannote[4504].end 19401.50534375
transcript.pyannote[4505].speaker SPEAKER_35
transcript.pyannote[4505].start 19400.98221875
transcript.pyannote[4505].end 19406.01096875
transcript.pyannote[4506].speaker SPEAKER_13
transcript.pyannote[4506].start 19405.48784375
transcript.pyannote[4506].end 19406.12909375
transcript.pyannote[4507].speaker SPEAKER_13
transcript.pyannote[4507].start 19406.39909375
transcript.pyannote[4507].end 19407.98534375
transcript.pyannote[4508].speaker SPEAKER_13
transcript.pyannote[4508].start 19408.22159375
transcript.pyannote[4508].end 19413.97596875
transcript.pyannote[4509].speaker SPEAKER_13
transcript.pyannote[4509].start 19414.39784375
transcript.pyannote[4509].end 19424.37096875
transcript.pyannote[4510].speaker SPEAKER_13
transcript.pyannote[4510].start 19425.04596875
transcript.pyannote[4510].end 19433.56784375
transcript.pyannote[4511].speaker SPEAKER_13
transcript.pyannote[4511].start 19433.85471875
transcript.pyannote[4511].end 19436.62221875
transcript.pyannote[4512].speaker SPEAKER_13
transcript.pyannote[4512].start 19436.97659375
transcript.pyannote[4512].end 19441.04346875
transcript.pyannote[4513].speaker SPEAKER_13
transcript.pyannote[4513].start 19441.12784375
transcript.pyannote[4513].end 19441.16159375
transcript.pyannote[4514].speaker SPEAKER_22
transcript.pyannote[4514].start 19441.16159375
transcript.pyannote[4514].end 19441.31346875
transcript.pyannote[4515].speaker SPEAKER_13
transcript.pyannote[4515].start 19441.31346875
transcript.pyannote[4515].end 19441.53284375
transcript.pyannote[4516].speaker SPEAKER_22
transcript.pyannote[4516].start 19441.53284375
transcript.pyannote[4516].end 19441.66784375
transcript.pyannote[4517].speaker SPEAKER_13
transcript.pyannote[4517].start 19441.66784375
transcript.pyannote[4517].end 19441.73534375
transcript.pyannote[4518].speaker SPEAKER_22
transcript.pyannote[4518].start 19441.73534375
transcript.pyannote[4518].end 19444.41846875
transcript.pyannote[4519].speaker SPEAKER_13
transcript.pyannote[4519].start 19444.41846875
transcript.pyannote[4519].end 19444.45221875
transcript.pyannote[4520].speaker SPEAKER_22
transcript.pyannote[4520].start 19444.45221875
transcript.pyannote[4520].end 19444.50284375
transcript.pyannote[4521].speaker SPEAKER_13
transcript.pyannote[4521].start 19444.50284375
transcript.pyannote[4521].end 19444.51971875
transcript.pyannote[4522].speaker SPEAKER_22
transcript.pyannote[4522].start 19444.51971875
transcript.pyannote[4522].end 19445.88659375
transcript.pyannote[4523].speaker SPEAKER_13
transcript.pyannote[4523].start 19444.53659375
transcript.pyannote[4523].end 19447.87784375
transcript.pyannote[4524].speaker SPEAKER_13
transcript.pyannote[4524].start 19448.36721875
transcript.pyannote[4524].end 19451.91096875
transcript.pyannote[4525].speaker SPEAKER_22
transcript.pyannote[4525].start 19451.91096875
transcript.pyannote[4525].end 19453.96971875
transcript.pyannote[4526].speaker SPEAKER_13
transcript.pyannote[4526].start 19453.96971875
transcript.pyannote[4526].end 19455.48846875
transcript.pyannote[4527].speaker SPEAKER_13
transcript.pyannote[4527].start 19455.64034375
transcript.pyannote[4527].end 19457.64846875
transcript.pyannote[4528].speaker SPEAKER_13
transcript.pyannote[4528].start 19458.42471875
transcript.pyannote[4528].end 19465.29284375
transcript.pyannote[4529].speaker SPEAKER_39
transcript.pyannote[4529].start 19459.08284375
transcript.pyannote[4529].end 19459.38659375
transcript.pyannote[4530].speaker SPEAKER_39
transcript.pyannote[4530].start 19459.53846875
transcript.pyannote[4530].end 19459.55534375
transcript.pyannote[4531].speaker SPEAKER_13
transcript.pyannote[4531].start 19465.74846875
transcript.pyannote[4531].end 19482.74159375
transcript.pyannote[4532].speaker SPEAKER_13
transcript.pyannote[4532].start 19482.92721875
transcript.pyannote[4532].end 19483.66971875
transcript.pyannote[4533].speaker SPEAKER_22
transcript.pyannote[4533].start 19483.66971875
transcript.pyannote[4533].end 19484.59784375
transcript.pyannote[4534].speaker SPEAKER_13
transcript.pyannote[4534].start 19484.59784375
transcript.pyannote[4534].end 19484.66534375
transcript.pyannote[4535].speaker SPEAKER_17
transcript.pyannote[4535].start 19493.94659375
transcript.pyannote[4535].end 19499.61659375
transcript.pyannote[4536].speaker SPEAKER_17
transcript.pyannote[4536].start 19499.75159375
transcript.pyannote[4536].end 19513.50471875
transcript.pyannote[4537].speaker SPEAKER_17
transcript.pyannote[4537].start 19513.60596875
transcript.pyannote[4537].end 19516.28909375
transcript.pyannote[4538].speaker SPEAKER_17
transcript.pyannote[4538].start 19516.69409375
transcript.pyannote[4538].end 19530.51471875
transcript.pyannote[4539].speaker SPEAKER_17
transcript.pyannote[4539].start 19530.80159375
transcript.pyannote[4539].end 19536.40409375
transcript.pyannote[4540].speaker SPEAKER_07
transcript.pyannote[4540].start 19566.96471875
transcript.pyannote[4540].end 19567.03221875
transcript.whisperx[0].start 871.715
transcript.whisperx[0].end 872.108
transcript.whisperx[0].text MING PAO CANADA MANGA
transcript.whisperx[1].start 946.454
transcript.whisperx[1].end 946.517
transcript.whisperx[1].text 本集完
transcript.whisperx[2].start 983.096
transcript.whisperx[2].end 983.117
transcript.whisperx[2].text 暫停會議
transcript.whisperx[3].start 1169.019
transcript.whisperx[3].end 1173.114
transcript.whisperx[3].text 響鐘
transcript.whisperx[4].start 1276.562
transcript.whisperx[4].end 1277.984
transcript.whisperx[4].text 太多人去審那他應該會加班沒錯
transcript.whisperx[5].start 1809.022
transcript.whisperx[5].end 1820.736
transcript.whisperx[5].text 我們請組密報告出席人數報告全體會出席委員11人一組法定人數好現在開會進行報告事項請宣讀上次會議意思錄
transcript.whisperx[6].start 1821.752
transcript.whisperx[6].end 1826.453
transcript.whisperx[6].text 立法院第11屆第2會期經濟委員會議.第8次全體委員會議.事錄時間113年10月24日星期四﹐9時至12時23分﹐14時至14時22分﹐地點紅樓101會議室出席委員﹐林大化委員等14人﹐列席委員﹐吳秉瑞委員等26人﹐列席人員﹐國發會主委﹐劉靜卿
transcript.whisperx[7].start 1844.355
transcript.whisperx[7].end 1855.57
transcript.whisperx[7].text 衛福部社家署代理署長周道軍、教育部政次章廖萬堅、勞動部勞發署副署長黃迎玉、人事行政總署副人事長李秉舟及各單位相關
transcript.whisperx[8].start 1856.994
transcript.whisperx[8].end 1875.71
transcript.whisperx[8].text 人員、主席、邱超及委員至委。報告事項一、宣讀上次會議事錄決定、確定。二、邀請國家發展委員會主任、委員衛生、福利部首長、教育部首長、勞動部首長就我國少子女化現況及對策計畫成效。繼我國與雅林國家日流財攬財政策競爭力比較進行報告.並備質詢。
transcript.whisperx[9].start 1879.132
transcript.whisperx[9].end 1892.083
transcript.whisperx[9].text 三、邀請國家發展委員會主任委員、行政院人事總署首長就我國少子女化對策主管單位與主要國家作法之比較暨我國參財改制之可行性.進行報告.並備質詢。報告四、讓合併巡邏國發會主委劉靜清衛福部.
transcript.whisperx[10].start 1895.386
transcript.whisperx[10].end 1921.995
transcript.whisperx[10].text 社家署代理署長周大軍、教育部政事張亮頑堅及勞動部勞發署副署長黃盈玉報告後委員林代化等23人提出質詢。均由國發會留署委、教育部張亮政事、勞發署黃副署長、人事行政總署理副人事長及社家署周歐代理署長及鄉外人員即席答覆決定。一、登記發言委員處不在場者外,其餘均與發言完畢,詢答結束。二、未及答覆部分,請相關單位一周內以書面答覆並複製本會,這樣會宣讀完畢。
transcript.whisperx[11].start 1927.916
transcript.whisperx[11].end 1940.724
transcript.whisperx[11].text 好,繼續進行報告。在場委員不到3人,所以議事錄暫不處理。那我們就繼續報告這個,報告事項,請一併宣讀。一、邀請經濟部部長列席報告業務概況.並備質詢。二、邀請經濟部部長、環境部首長就我國對設置SRF電廠之規劃評估.及設置SRF發電廠對我國環境之影響.進行報告.並備質詢。宣讀完畢。
transcript.whisperx[12].start 1959.349
transcript.whisperx[12].end 1982.275
transcript.whisperx[12].text 本日議程排定經濟部業務報告.及我國對於設置SRF發電廠之規劃評估.及設置SRF發電廠對我國環境之影響等兩岸進行報告.並備質詢。那我們現在先來介紹在場的首長經濟部郭志輝部長商業發展署蘇文林署長
transcript.whisperx[13].start 1990.452
transcript.whisperx[13].end 2012.799
transcript.whisperx[13].text 產業發展署楊志清署長國際貿易署江文若署長能源署劉振偉署長中小及新創企業署李冠志署長水利署賴建信署長智慧財產局廖承威局長產業園區管理局楊伯耕局長
transcript.whisperx[14].start 2021.389
transcript.whisperx[14].end 2045.92
transcript.whisperx[14].text 標準檢驗局陳怡林局長經貿人員培訓所李浩喜所長地質調查及礦業管理中心徐明宏主任工商輔導中心袁瑞龍主任
transcript.whisperx[15].start 2048.676
transcript.whisperx[15].end 2072.824
transcript.whisperx[15].text 臺電公司董事長曾文森董事長總經理王耀廷總經理臺糖公司陳立仁總經理臺水公司李家榮董事長中游公司方振仁總經理環境部省自修常務次長資源
transcript.whisperx[16].start 2077.958
transcript.whisperx[16].end 2106.441
transcript.whisperx[16].text 循環署賴盈盈署長我們現在就請經濟部的郭志輝部長進行業務報告及專題報告主席、各位委員、大家好
transcript.whisperx[17].start 2107.441
transcript.whisperx[17].end 2134.459
transcript.whisperx[17].text 今天承蒙貴委員會邀請提出業務報告深感榮幸以下僅就當前經濟環境以及本部施政重點而要說明進行各位委員不吝示教全球經濟在歷經疫情、斷鏈、戰爭以及升息、循環等挑戰之後
transcript.whisperx[18].start 2135.683
transcript.whisperx[18].end 2156.598
transcript.whisperx[18].text 展現了令人鼓舞的韌性美、歐等國通膨壓力漸減上半年全球經貿活動呈現復甦OECD、INF等國際機構最新的預估全球經濟成長在今年將保持3.2%的這個速度平穩擴張與去年相當雖然
transcript.whisperx[19].start 2163.561
transcript.whisperx[19].end 2180.732
transcript.whisperx[19].text 無二以及中東地緣衝突、美中集團貿易壁壘以及美國總統大選等可能增添全球經濟風險但全球AI需求依舊強勁
transcript.whisperx[20].start 2182.789
transcript.whisperx[20].end 2204.439
transcript.whisperx[20].text 標普全球上調生成式AI市場營收預測未來的5年也就是說到2028年成長將高達59%今年許多大型科技公司分別投入百億美元AI基礎設施預計5年內總規模將超過1兆美元以上對經濟產生顛覆性的影響
transcript.whisperx[21].start 2213.449
transcript.whisperx[21].end 2233.276
transcript.whisperx[21].text 臺灣是首波受益於AI投資熱潮的國家之一根據主計總署今年8月最新預測隨AI等新興科技應用商機持續熱絡以及全球終端需求逐漸回溫臺灣今年的經濟成長可高達3.9%
transcript.whisperx[22].start 2238.26
transcript.whisperx[22].end 2265.648
transcript.whisperx[22].text 由於全球平均以及日、韓、新等雅齡國家明年可望續長3.26%為把握AI未來五年黃金發展時期確保臺灣站穩全球供應鏈的關鍵地位本部施政上將優先推動半導體、AI等信賴產業發展
transcript.whisperx[23].start 2267.681
transcript.whisperx[23].end 2290.14
transcript.whisperx[23].text 並透過中小微企業的數位以及淨零雙轉型堅固創新包容成長此外為達成第二次能源轉型發展多元力能加速落實深度節能協助企業減碳共同邁向淨零永續同時
transcript.whisperx[24].start 2293.294
transcript.whisperx[24].end 2303.784
transcript.whisperx[24].text 全力確保水、電穩定供應讓企業安心經營投資搭配境內關外、境外關內創新經濟發展模式接軌國際、擴大內需市場加速實踐總統經濟日不落國的願景
transcript.whisperx[25].start 2316.897
transcript.whisperx[25].end 2340.336
transcript.whisperx[25].text 臺灣擁有世界最完整的產業聚落特別在半導體領域其中晶圓代工以及晶片封測高居全球第一IC設計全球第二展現臺灣在半導體供應鏈的優勢以及關鍵地位面對美中集團對抗本部將強化半導體
transcript.whisperx[26].start 2342.261
transcript.whisperx[26].end 2358.266
transcript.whisperx[26].text 產業供應鏈安全藉由輔助國產設備以及材料完成終端客戶驗證順利導入半導體供應鏈體系提高國產半導體封裝設備以及材料的自主率
transcript.whisperx[27].start 2360.528
transcript.whisperx[27].end 2382.353
transcript.whisperx[27].text 為因應中國發展成熟製程導致血價競爭本部以IC設計五年內排名全球第二為目標加速業者開發高算力AI、液質整合以及矽光子等先進製程晶片技術並先規劃建置
transcript.whisperx[28].start 2386.717
transcript.whisperx[28].end 2401.246
transcript.whisperx[28].text 適量產線提供業者客製化的驗證以及市場平台協助進行新產品的研發此外透過研發補助資源驅動國內業者達到國際領先技術指標的晶片設計開發並引導跨入先進製程研發
transcript.whisperx[29].start 2411.26
transcript.whisperx[29].end 2423.422
transcript.whisperx[29].text 今年IC設計業者採用先進製程晶片產值的占比將由39%升至43%AI成為全球重要戰略臺灣已經具備先進晶片製造優勢本部運用臺灣專屬開源模型
transcript.whisperx[30].start 2436.465
transcript.whisperx[30].end 2454.763
transcript.whisperx[30].text 以及產業領域資料選定金屬機械、醫療、商務、會展等十項特色產業開發AI應用模型規劃產業AI導入指引據公版教材提供專家輔導
transcript.whisperx[31].start 2458.267
transcript.whisperx[31].end 2480.934
transcript.whisperx[31].text 諮詢與政斷.帶動百工百業導入AI預計.在2028年包括傳統產業.以及中小企業在內的製造業.應用AI普及率到達50%.服務業以及中小微企業導入AI應用8萬家.並完成培育20萬名AI人才.
transcript.whisperx[32].start 2482.58
transcript.whisperx[32].end 2508.22
transcript.whisperx[32].text 此外本部促成多家國際大廠來臺引進半導體、AI等領域關鍵技術與國內廠商合作研發同時要求外商引進海外人才的時必須提升國際人才的比例應要達到50%以上來奠基臺灣AI的人才庫
transcript.whisperx[33].start 2509.938
transcript.whisperx[33].end 2513.404
transcript.whisperx[33].text 軍工產業方面面對新時代軍備的競賽無人機廣泛應用於俄烏
transcript.whisperx[34].start 2518.669
transcript.whisperx[34].end 2546.618
transcript.whisperx[34].text 中東等地緣衝突機器狗代替人類赴前線偵查掃雷結合AI科技居家陪伴巡邏偵測物流運送等應用服務日漸成熟本部利用內需市場建立無人機等關鍵技術能量推動臺灣卓越無人機海外商機聯盟對焦非紅供應鏈的需求擴大國際合作
transcript.whisperx[35].start 2548.078
transcript.whisperx[35].end 2570.935
transcript.whisperx[35].text 目標在2028年之前無人機的產值成長10倍,到達300億元。機器狗方面,工研院已籌組TexForce團隊,整合國內法人、廠商研發以及技術能量,預計在今年底產出機器狗的原型,帶動機器狗產業鏈自主發展。
transcript.whisperx[36].start 2575.883
transcript.whisperx[36].end 2588.909
transcript.whisperx[36].text 為讓我國產業立足臺灣、布局全球、行銷全世界本部持續運用經貿交流管道與歐盟、日本進行經貿會議強化半導體等關鍵供應鏈的鏈結與新南向國家舉辦產業高峰論壇
transcript.whisperx[37].start 2599.051
transcript.whisperx[37].end 2604.104
transcript.whisperx[37].text 促成產業交流合作.進一步啟動境外關內政策.
transcript.whisperx[38].start 2607.808
transcript.whisperx[38].end 2631.794
transcript.whisperx[38].text 針對臺灣優勢產業以大帶小的模式協助中小企業海外布局讓臺商形成產業聚落本部已規劃於重點國家設置籌備處成立服務公司將提供臺商從用地的取得、公司的申請、廠房的興建、人力的招募、水電的供應等
transcript.whisperx[39].start 2632.634
transcript.whisperx[39].end 2655.643
transcript.whisperx[39].text 一站式服務.今年年底.將先設立一個服務窗口.同時爭取避免雙重課稅.租關稅等優惠.以及行政的便捷。今年六月.我率團防美期間.積極地促進各界支持臺美避免雙重課稅的協定.
transcript.whisperx[40].start 2657.546
transcript.whisperx[40].end 2670.716
transcript.whisperx[40].text 來立法以營造有利臺商的經營環境為推動臺灣共同品牌今年8月在馬來西亞超市設立臺灣SELECT
transcript.whisperx[41].start 2671.687
transcript.whisperx[41].end 2694.217
transcript.whisperx[41].text 的專區展示臺灣裕40個品牌、150項特色產品或需規劃在美國的超市辦理促銷活動以及在加拿大以及西班牙超市辦理快閃活動協助食品業者開發海外商機推廣臺灣SELECT商品
transcript.whisperx[42].start 2695.985
transcript.whisperx[42].end 2712.08
transcript.whisperx[42].text 經內關外為著眼擴大內需消費市場.這是投資的商機.加速在生技、醫療等大健康產業的發展.打造臺灣適合調理身心、保健身體的國家.
transcript.whisperx[43].start 2713.223
transcript.whisperx[43].end 2741.452
transcript.whisperx[43].text 本部推廣臺灣美食、食補以及養生保健服務.辦理美食競賽.並與九大國際會展提供配套服務.體驗臺灣特色美食以及高質服務.並提供參展以及觀展的國際人士.直接接駁、交通接駁、順道觀光.帶動百貨商圈以及周邊的消費。
transcript.whisperx[44].start 2742.745
transcript.whisperx[44].end 2759.86
transcript.whisperx[44].text 令於投資臺灣事務所成立服務業投資小組提供專人專案客製化服務推動國際百大精品來臺吸引國際一流養生業者進駐形塑臺灣優質的消費環境
transcript.whisperx[45].start 2763.996
transcript.whisperx[45].end 2781.272
transcript.whisperx[45].text 如何以更少的能源做更多的事情是推動深度節能的核心理念本部規劃扶持ESCO擴大推動能量提升大用戶節電目標並運用輔導獎勵以及導入民間資源促進用戶落實節能改善於2030年
transcript.whisperx[46].start 2793.025
transcript.whisperx[46].end 2814.564
transcript.whisperx[46].text 帶動9000億元的節能產值.產業方面.透過推動EXCO發展.協助產業節能改善.引入低碳化以及智慧化技術.帶動雙軸轉型.推動重點.包括公營事業帶領示範.建立EXCO執行模式.提供產業用戶參採.
transcript.whisperx[47].start 2818.191
transcript.whisperx[47].end 2829.703
transcript.whisperx[47].text 另外盤點供應鏈.以及中小用戶節能潛力.並成立專家顧問團提供技術諮詢與輔導.最後協助媒合EXCO 落實節能改善
transcript.whisperx[48].start 2835.216
transcript.whisperx[48].end 2860.471
transcript.whisperx[48].text 在資金協助上以成立節能服務業專案貸款信用保證以50億元信保的額度提供每家ESCO最高額外3億元核保金額並透過發展保險業節能績效型保單降低資金投入ESCO風險來擴大ESCO服務的量能
transcript.whisperx[49].start 2862.435
transcript.whisperx[49].end 2876.83
transcript.whisperx[49].text 針對超過1萬千瓦的能源大用戶.以法規要求節電目標.從1%提高到1.5%.並推動以大帶小機制.攜手協力供應商一起參與節能改善.
transcript.whisperx[50].start 2879.184
transcript.whisperx[50].end 2893.492
transcript.whisperx[50].text 至於住宅用戶.本部已向行政院爭取擴大經費.鼓勵民眾將老舊家電汰換為能效一級的產品.未來兩年將完成408萬台老舊家電的汰換
transcript.whisperx[51].start 2898.035
transcript.whisperx[51].end 2921.855
transcript.whisperx[51].text 中小微企業是我國經濟成長與社會穩定的重要力量長期為國家打造健全的產業供應鏈基礎本部持續協助中小微企業多元成長並透過數位轉型、淨零轉型以及通路發展的策略建構適合
transcript.whisperx[52].start 2923.656
transcript.whisperx[52].end 2949.67
transcript.whisperx[52].text 小微企業發展的生態體系預計4年創造產值超過2750億元在數位轉型方面本部協助企業導入AI工具以及加強培訓AI數位人才針對員工30人以下的企業提供輔助方案減輕基本工資調升的衝擊
transcript.whisperx[53].start 2951.96
transcript.whisperx[53].end 2973.366
transcript.whisperx[53].text 在經營轉型方面本部透過工協會擴散減碳資能提供中小微企業碳健檢諮詢以及輔導協助導入ESCO節能服務改善碳排在通路發展方面本部規劃擴大在地
transcript.whisperx[54].start 2975.757
transcript.whisperx[54].end 2999.355
transcript.whisperx[54].text 商家通路並結合臺灣SERET等共同品牌協助企業拓展海外市場此外,針對中小微企業的資金問題本部服以普惠專案貸款以及租稅優惠配套措施規劃為員工30人以下中小微企業提供數位轉型
transcript.whisperx[55].start 3001.731
transcript.whisperx[55].end 3025.929
transcript.whisperx[55].text 進齡轉型以及通路發展專案貸款與利息補貼強化資金支持中小企業發展條例已於8月7日修正公布提高中小企業徵雇基層員工加薪投入創新研發的誘因將有助於中小企業多元創新發展
transcript.whisperx[56].start 3028.143
transcript.whisperx[56].end 3039.995
transcript.whisperx[56].text 在協助中小企業以及新創事業區域平衡發展方面本部持續與各地中小企業團體輔導網路強化連結交流擴大與中南部創意機構合作帶動在地產業創新發展
transcript.whisperx[57].start 3050.297
transcript.whisperx[57].end 3057.039
transcript.whisperx[57].text 臺灣目前太陽光電總設置量達到13.7GW為105年的11倍離岸風電從無到有累積裝置了372座風機併網量達到2.93GW是全球的第7名未來持續推動風光電外我們將加速發展
transcript.whisperx[58].start 3078.41
transcript.whisperx[58].end 3089.217
transcript.whisperx[58].text 地熱、氫能等多元綠能,多元的綠能、多元的綠電可以確保能源的自主性,尤其是地熱發電,臺灣蘊藏豐富的地熱資源。
transcript.whisperx[59].start 3094.312
transcript.whisperx[59].end 3118.045
transcript.whisperx[59].text 本部探勘大屯山、瑞穗、延平、寶萊等10處地熱的案場收集地熱潛能的相關資訊其中大屯山佔台灣地熱潛能將近一半10月已經在宜蘭啟動國內首口4000公尺深層地熱探勘深井的開鑽
transcript.whisperx[60].start 3119.52
transcript.whisperx[60].end 3127.99
transcript.whisperx[60].text 另外,從法制面友善申請環境.設置示範獎勵辦法.分攤業者的攤勘風險.並由中油引進國際生成地熱技術.建置地熱發電案場.加速推動地熱的設置。
transcript.whisperx[61].start 3139.676
transcript.whisperx[61].end 3161.146
transcript.whisperx[61].text 至於氫能方面本部結合工部門與國營事業資源與國際技術領先的國家交流合作拓展氫能的應用並關注國際氫能的發展為滿足產業發展以及民生需求本部每年滾動檢討用電成長
transcript.whisperx[62].start 3165.617
transcript.whisperx[62].end 3172.263
transcript.whisperx[62].text AI帶動的半導體產業擴廠.電動車啟動政策的因素.預估臺灣未來10年.也就是到122年用電的需求.年均成長約2.8%.將持續開發再生能源.低碳燃氣發電.以及儲能電網建設.確保供電的穩定
transcript.whisperx[63].start 3195.512
transcript.whisperx[63].end 3213.866
transcript.whisperx[63].text 為確保穩定的供水以及降低淹水災害本部推動多元水源開發強化跨區域水源調度包括推動科技造水完成鳥水潭人工湖高頻溪浮流水
transcript.whisperx[64].start 3214.932
transcript.whisperx[64].end 3237.081
transcript.whisperx[64].text 逃逐備援管線.阿姆坪防淤隧道.以及征文南化聯通管等水資源的建設.增加全國20%的用水.另外因應近期各縣市提出之治水需求.本部已爭取行政院的同意
transcript.whisperx[65].start 3240.363
transcript.whisperx[65].end 3260.178
transcript.whisperx[65].text 徵列84億元的預算.總計298億元投入防洪治水.搭配淹水感測器.以及水情影像、雲端平臺等智慧化工具.即時監看AI.辨識淹水資訊.精進智慧防災.以及應變能力。
transcript.whisperx[66].start 3268.345
transcript.whisperx[66].end 3286.01
transcript.whisperx[66].text 今年全球招商論壇有12家國際大廠以具體投資行動支持臺灣與本部簽署投資意向書再加上已掌握的廠商未來投資金額將高達1,150億元國際半導體展吸引了全球56個國家超過1,100家企業參與這個盛事再次刷新紀錄
transcript.whisperx[67].start 3298.302
transcript.whisperx[67].end 3325.445
transcript.whisperx[67].text 臺灣擁有全球頂尖的製造實力本部將以行動創新AI內閣的執行力壯大五大信賴產業協助中小微企業升級轉型推動第二次的能源轉型穩定水電供應鞏固臺灣在世界的關鍵地位期盼各位委員對於本部施政
transcript.whisperx[68].start 3326.645
transcript.whisperx[68].end 3354.888
transcript.whisperx[68].text .以指證示教本會期送請大院審查的預算案.以及相關議案.亦懇請委員鼎力支持.最後敬祝各位委員身體健康.萬事如意以上報告進行各位委員指教謝謝主席各位委員大家好
transcript.whisperx[69].start 3355.819
transcript.whisperx[69].end 3361.566
transcript.whisperx[69].text 今天承蒙貴委員會邀請就我國對設置SRF發電廠的規.規劃評估.及設置SRF發電廠對我國環境之影響進行報告.
transcript.whisperx[70].start 3372.931
transcript.whisperx[70].end 3388.519
transcript.whisperx[70].text 2050淨零碳排是目前全球面臨的共同課題各國無不竭盡所有可能手段進行減碳SRF發電有助減碳除符合我
transcript.whisperx[71].start 3389.69
transcript.whisperx[71].end 3415.43
transcript.whisperx[71].text 我國的淨零政策.亦符合本部推動能源多元發展.促進投資等政策.對環境保護與經濟發展都有幫助。只就本部相關措施提出報告.敬請各位委員不吝示教因應大型風化爐整改.可燃廢棄物去化受限
transcript.whisperx[72].start 3417.315
transcript.whisperx[72].end 3442.954
transcript.whisperx[72].text 為協助可燃廢棄物的去化.並減少國內二氧化碳排放.環境部自2020年起推動廢棄物燃料化政策.此外為推動2050年淨零碳排.參考先進國家做法.我國自2023年也將廢棄物能源化.作為淨零戰略的關鍵項目.
transcript.whisperx[73].start 3445.168
transcript.whisperx[73].end 3465.234
transcript.whisperx[73].text 而國際上、歐洲、日本等先進國家為了解決國內是嚴重的垃圾問題以又能達成淨零目標提出以固體再生燃料也就是SRF來替代石化燃料提供電力與熱能的方案。舉例來說
transcript.whisperx[74].start 3466.877
transcript.whisperx[74].end 3494.157
transcript.whisperx[74].text 瑞典的米拉倫湖發電廠使用伐木業所產生的木材廢棄物以及都市生活垃圾作為燃料進行發電每年可以處理40萬噸的廢棄物提供15萬戶家庭用電以及取暖而日本北海道的三小木發電所則是世界上第一座專用塑膠廢棄物燃料的發電廠從
transcript.whisperx[75].start 3498.143
transcript.whisperx[75].end 3509.451
transcript.whisperx[75].text 2003年啟用至今.已經處理高達540萬噸廢塑膠.累計發電量為4510GW.約可減少碳排415萬噸.SRF容易存放與運用.可以替代煤炭、焦炭等化石燃料.
transcript.whisperx[76].start 3527.946
transcript.whisperx[76].end 3552.44
transcript.whisperx[76].text .價格較煤炭低.重要的是.同樣的熱能產出.二氧化碳的排碳.減少到化石燃料的三分之二.換句話說.它是一項具有經濟效益.廢棄物利用極大化的能源.能幫助減少碳排放.依環境部的資料顯示.一公噸的SRF.可以取代0.86公噸的
transcript.whisperx[77].start 3555.148
transcript.whisperx[77].end 3570.683
transcript.whisperx[77].text 對於SRF製造使用的管理與污染防治.環境部以參考歐盟最新標準.就料源
transcript.whisperx[78].start 3571.764
transcript.whisperx[78].end 3590.446
transcript.whisperx[78].text 自成設備、產品品質、流向管制以及空污排放等進行全面管理並加嚴標準。相關規範環境部已邀請包含本部等中央有關機關、地方主管機關
transcript.whisperx[79].start 3591.767
transcript.whisperx[79].end 3614.482
transcript.whisperx[79].text 及相關產業工協會進行研商.本部亦多次參與相關法令研修討論會議.相關修法也朝加研的方向訂定.將有助於全面管控SRF的製造和使用流程.有效降低其對環境的影響。
transcript.whisperx[80].start 3618.307
transcript.whisperx[80].end 3640.803
transcript.whisperx[80].text 為完善國內廢棄物去化管理.能源化為去化管道之一.因此於再生能源發展條例98年立法之初.將經處理之國內一般及一般事業廢棄物.納入再生能源發電設備可使用的料源.
transcript.whisperx[81].start 3641.874
transcript.whisperx[81].end 3651.994
transcript.whisperx[81].text 有關SRF發電廠之設置管理、廠商需依電業法、再生能源發展條例以及再生能源發電設備設置管理辦法
transcript.whisperx[82].start 3655.346
transcript.whisperx[82].end 3670.756
transcript.whisperx[82].text 規定檢附相關文件提出申請.並依規定SRF發電設備所用燃料來源.需百分之百為國內一般廢棄物或一般事業廢棄物.並經環保主管機關確認.此外.發電效率需達25%以上.使得適用準購費率。
transcript.whisperx[83].start 3681.861
transcript.whisperx[83].end 3688.385
transcript.whisperx[83].text SRF應含塑膠類廢棄物.不屬於國際認定再生能源或R1-100的認定範疇.在國內,位於國際接軌本部已於113年10月23日預告再生能源發展條例修正草案.
transcript.whisperx[84].start 3703.455
transcript.whisperx[84].end 3728.768
transcript.whisperx[84].text 廢棄物發電設備為再生能源發電設備.法律實施後.將不再享有准購費率.預告期間歡迎各界表達意見.後續有關廢棄物含SRF發電設備設置及其相關管理.本部與環境部合作.強化橫向勾擊機制與.
transcript.whisperx[85].start 3730.731
transcript.whisperx[85].end 3742.166
transcript.whisperx[85].text 後市場管理以完善廢棄物料源經處理空氣污染排放及發電效率等管理與集合工作
transcript.whisperx[86].start 3743.254
transcript.whisperx[86].end 3765.977
transcript.whisperx[86].text 桃園科技工業園區SRF發電廠因有入園許可是否有效的法律爭議遭到桃園市政府撤銷入園許可目前廠商已提出訴願並由本部訴願會審理中另外當地民眾對於SRF電廠所產生的污染也有疑慮
transcript.whisperx[87].start 3767.182
transcript.whisperx[87].end 3785.78
transcript.whisperx[87].text 目前環境部以參考歐盟最新規定嚴明SRF加嚴的管理法規。廠商也發函桃園市政府表示願意遵守環境部加嚴後的法規。本部認為法律的正義應該交由
transcript.whisperx[88].start 3787.731
transcript.whisperx[88].end 3808.694
transcript.whisperx[88].text 專業學者所組成的本部溯源會來做成判斷與決定至於地方民眾所擔心的環境問題應該由廠商以及環境部、桃園市政府等政府單位來加強溝通本部作為產業以及能源主管機構
transcript.whisperx[89].start 3810.106
transcript.whisperx[89].end 3834.026
transcript.whisperx[89].text 非常重視循環經濟以及我國能源多元發展相關投資案件我們期待可以順利進行以創造產業綠色成長的新動能。SRF發電廠設置對臺灣廢棄物能源化以及2050年淨零碳排是有幫助
transcript.whisperx[90].start 3835.223
transcript.whisperx[90].end 3863.35
transcript.whisperx[90].text 環境部以嚴定SRF加嚴規範.將可大幅減少空氣的污染以上報告 敬請各位委員指正視教敬祝各位委員身體健康 處事順利謝謝好 謝謝部長 先請回座我們先介紹在場的委員林代化委員邱益穎委員黃建豪委員
transcript.whisperx[91].start 3865.691
transcript.whisperx[91].end 3879.36
transcript.whisperx[91].text 請問各位委員,上次會議議事錄有無錯誤?好,議事錄無錯誤,那我們議事錄確定。現在我們請環境部省自修次長進行專案報告。
transcript.whisperx[92].start 3884.737
transcript.whisperx[92].end 3894.363
transcript.whisperx[92].text 主席、各位委員大家好那環境部今天非常榮幸能夠接受貴委員會的邀請就我國對設置SRF發電廠的一個規劃評估以及設置SRF發電廠對我國環境的影響進行報告
transcript.whisperx[93].start 3900.586
transcript.whisperx[93].end 3914.72
transcript.whisperx[93].text 那SRF製造廠的一個管理跟使用廠的一個污染防治是由環境部來負責那麼為了輔導SRF廠合法合規環境部從今年的6月起成立了一個體檢輔導團就會期務的一個處理技術
transcript.whisperx[94].start 3918.423
transcript.whisperx[94].end 3938.49
transcript.whisperx[94].text 會期務的運作管理、空氣污染防治以及環境檢測四大領域共有12位專家那麼我們也邀請了工廠所在地的環保局由局長、副局長或者是承辦科長進行全面性的一個體檢經過三個半月的時間在今年的9月底我們完成了全國48家製造廠
transcript.whisperx[95].start 3940.291
transcript.whisperx[95].end 3940.551
transcript.whisperx[95].text 提供意見。
transcript.whisperx[96].start 3956.901
transcript.whisperx[96].end 3977.555
transcript.whisperx[96].text 未來環境部也會依據輔導成果在今年年底提出SRF的管理辦法提升管理法令位階並加嚴SRF使用場的一個空氣污染排放標準以及檢測規定相關法規預計在今年年底就會來發布有關於這個SRF管理辦法的部分
transcript.whisperx[97].start 3978.863
transcript.whisperx[97].end 3997.792
transcript.whisperx[97].text 我們會來訂定SRF管理辦法未接的提升加強SRF從產源製造使用到最後揮渣產出的運作管理要求記錄跟申報增加CCTV監視以及第三方的一個品質驗證制度健全管理機制
transcript.whisperx[98].start 3998.692
transcript.whisperx[98].end 4024.121
transcript.whisperx[98].text 那有關於加強這個空氣暖防制設備的排放標準的一個加嚴的部分那凡是使用這個實用廠的必須要來設置這個立裝污染物SARS、NARS、戴耀星防制設施也會比照這個大型風化爐來加嚴空氣污染物的排放值包括像重金屬、戴耀星等等那針對大型的SRF的一個使用廠
transcript.whisperx[99].start 4025.201
transcript.whisperx[99].end 4048.727
transcript.whisperx[99].text 現有的裝設這一個連續自動建設的設施像SIMS那我們會要求來加強帶耀性前驅物質像易氧化碳、氯化氫的一個項目的檢測那未來環境部會用最嚴格的標準比照國際的規範來推動及管理SRF的轉匯為能的政策並持續來採取源頭減量
transcript.whisperx[100].start 4050.507
transcript.whisperx[100].end 4067.731
transcript.whisperx[100].text 若實回收及促進資源循環等策略執行.減少廢墟的產生.並且來維護我們環境的品質以上報告公請指正。謝謝報告四項兩岸合併進行詢答
transcript.whisperx[101].start 4073.208
transcript.whisperx[101].end 4073.688
transcript.whisperx[101].text 有請經濟部長請郭部長
transcript.whisperx[102].start 4102.759
transcript.whisperx[102].end 4127.085
transcript.whisperx[102].text 委員長部長在正式進入本席的SRF的這個討論的當中針對我們康瑞颱風即將襲台可能進入我們再次的可能會再進入高雄所以本席想了解目前我們經濟部針對康瑞颱風的因應是怎麼樣我們開始要進入這個所有的這個籌備了這個即將啟動這樣的因應的這個做法
transcript.whisperx[103].start 4132.925
transcript.whisperx[103].end 4157.039
transcript.whisperx[103].text 我明確地問,台水淨水廠如何避免原水濁度飆升導致無法穩定供水?這是第一個。第二個,台電的緊急備處及人力調度的資源又是如何?如果以高頻來講的話,就是會在南華水庫上面去加強。去怎樣?他會去,就是
transcript.whisperx[104].start 4159.163
transcript.whisperx[104].end 4185.136
transcript.whisperx[104].text 臺水董事長來臺水董事長來跟您報告謝謝委員指針那我們會從那個南化聯通管調度南化水庫的鹽水大概一天可以調度40萬噸的水那我們還有侵水系統可以從臺南支援北高雄來做一些支援調度那我們高屏溪還有很多的
transcript.whisperx[105].start 4186.176
transcript.whisperx[105].end 4188.638
transcript.whisperx[105].text 臺電緊急備署跟人力調度跟委員說明第一個事情是這個颱風看起來影響範圍會比上一個颱風影響大很多
transcript.whisperx[106].start 4214.997
transcript.whisperx[106].end 4230.298
transcript.whisperx[106].text 那南部的部分就是基本的防災應變都做了調度的狀況是這樣我們已經把所有休假同仁的全部都叫回來然後都已經準備要做調度但沒有辦法像上次山陀 山陀知道說他可能就是在南部
transcript.whisperx[107].start 4230.859
transcript.whisperx[107].end 4243.796
transcript.whisperx[107].text 我們這一次會在判斷上面會再稍微晚一點人力資源上會再稍微晚一點那我跟您報告第二件事這一件事重要就是因為它影響範圍大而且看起來暴風要就是整個暴風圈要離開台灣已經入夜
transcript.whisperx[108].start 4245.919
transcript.whisperx[108].end 4254.749
transcript.whisperx[108].text 所以這一件事我們也在想這入業之後的整個搶修我們要怎麼樣做因應這一次的颱風如果真的登陸然後它的影響時間如現在氣象署的規劃那對於復電來講它很可能要11月1號早上開始才有辦法全面展開如果它是入業以後才離開的話
transcript.whisperx[109].start 4266.102
transcript.whisperx[109].end 4294.184
transcript.whisperx[109].text 那針對這個部長那針對第一線啊針對我上次兩個颱風啊我對於第一線的同仁台電、台水、中油的颱風搶救我是真的深感感謝也感謝部長的調度那這邊我也要請你們審慎研議啊針對這三個國營事業在颱風搶救或者是相關的緊急天災他在搶救的待遇跟危險津貼上是否要研議提高
transcript.whisperx[110].start 4295.402
transcript.whisperx[110].end 4307.65
transcript.whisperx[110].text 還是三個董事長?我請國營司來回答跟委員報告就是他對於搶修的這個危險的假期我們大概在今年已經十月多的時候已經核定了就是會提高七成好
transcript.whisperx[111].start 4309.288
transcript.whisperx[111].end 4337.177
transcript.whisperx[111].text 來,我們部長跟我們環境部來,我針對SRF跟傳統焚燒以及SRF的全球趨勢以及我們目前一般的廢棄物的總量以及我國營運的現況以及本席有一些要求那本席是非常非常肯定環境部對SRF的推動那對於全球目前每年有21的廢棄物家庭企業的廢棄物只會增加所以如何轉
transcript.whisperx[112].start 4338.197
transcript.whisperx[112].end 4355.582
transcript.whisperx[112].text 非為能這個環境部講得真好這件事情我是大大的肯定但目前的執行上當然是還沒有達到那對於另外呢我們在世界銀行預估在全球垃圾總量到2050年即將達到34億噸也會比現在的2024年增加
transcript.whisperx[113].start 4361.383
transcript.whisperx[113].end 4362.123
transcript.whisperx[113].text 好,我們現況我們講到它的料源
transcript.whisperx[114].start 4387.858
transcript.whisperx[114].end 4411.196
transcript.whisperx[114].text 這個SRF料源的廢紙、廢塑膠、廢纖維、廢木材、廢橡膠好,我們看上表這四年來我們的整個的回收量請看最右邊的那一行我們10958.84的回收一直到112去年的58.31%也就是說我的回收再利用之後我的百分之
transcript.whisperx[115].start 4411.676
transcript.whisperx[115].end 4428.089
transcript.whisperx[115].text 平均百分之另外的百分之四十以上我把這四年當中沒有回收的我們回收率嘛我們的非回收率大概百分之四十一也就是這百分之十一將近五百公噸分化爐式去化不再利用了
transcript.whisperx[116].start 4428.709
transcript.whisperx[116].end 4439.019
transcript.whisperx[116].text 好那這就是我們的重點啊我們SRF要不要去再我們再這個要不要提高我們的廢機物的回收率要不然就白白500公噸就浪費掉了而且我還要這500公噸我還要花電還要花油再去進行燃化
transcript.whisperx[117].start 4445.825
transcript.whisperx[117].end 4448.187
transcript.whisperx[117].text 好 第二個呢我們的營運狀況目前你們也很積極的環境部做66家SRF的廠商體檢18家使用廠48家的製造廠好這48家當中呢其實都符合品質的這個要求但留下
transcript.whisperx[118].start 4463.46
transcript.whisperx[118].end 4489.886
transcript.whisperx[118].text 這是本期有疑慮的留香的結果有18家未確實申報一家是完全未申報的那也就是說理論上最佳的狀況是我的48家的製造廠全部他的SRF的燃料標是要進到這18家的可是我卻有18加1是沒有的我掌握不到的那我本期就合理懷疑他到哪裡去
transcript.whisperx[119].start 4490.686
transcript.whisperx[119].end 4491.727
transcript.whisperx[119].text 我必須達到一千度欸
transcript.whisperx[120].start 4512.305
transcript.whisperx[120].end 4530.441
transcript.whisperx[120].text 所以這19家18家1家我合理懷疑他到他去幫助了生殖能可是因為生殖能的燃點太低了他發電燃點太低他300度稻草就可以可以發電了那我就用1000度那這會變成什麼我奧黛西就沒有辦法管制啊這是多可怕的一件事情
transcript.whisperx[121].start 4531.081
transcript.whisperx[121].end 4552.095
transcript.whisperx[121].text 好 戴奧星戴奧星這戴奧星是世紀之獨啊所以對我們對SRF的管制標準雖然叫這個歐盟的原格但是我們法規沒有這個完備所以這個環境部啊我是贊同你們剛才你的簡報當中行政指導直接提接提升為法律位階來作為SRF的這個規範但是你的規劃時程我希望能夠明確
transcript.whisperx[122].start 4557.739
transcript.whisperx[122].end 4557.879
transcript.whisperx[122].text 轉費為能使用場
transcript.whisperx[123].start 4575.79
transcript.whisperx[123].end 4589.102
transcript.whisperx[123].text 來 這個經濟部要看了 這使用廠18家行業啊 這個全部都沒有用在發電用途第二個 這個使用廠當中有4家排代澳新的排放是不合格哇 這個太可怕了
transcript.whisperx[124].start 4592.384
transcript.whisperx[124].end 4618.689
transcript.whisperx[124].text 好 所以這邊具體要求經濟部對於發會維能經濟部對SRF使用廠的建立發電的模式並進行輔導業者我希望有實際的時程規劃部長這您覺得要多久才會提供這是等一下您來回應第二個環境部您要把行政指導提升為法律未接我在這邊有三項要求你一定要給我納入第一個如何提高現有的廢棄物回收率
transcript.whisperx[125].start 4619.369
transcript.whisperx[125].end 4643.47
transcript.whisperx[125].text 第二個,要求SRF的製造業者若是一般非自負的回收的分類跟分選提出有效稽查SRF的產品品質的這個機制避免僥倖違法發生第三,智慧化管理,全時監控不用再用人力啦,你現在要去查他品質好不好藍碟有沒有到1000,你去稽查的時候都有,你離開之後他就變沒有
transcript.whisperx[126].start 4645.672
transcript.whisperx[126].end 4652.274
transcript.whisperx[126].text 所以就是全時監控用智慧化管理.SRF發電量與燃燒溫度的數據.已達成零代澳新的排放來經濟部跟環境部簡單回應報告委員我們大概要三個月三個月好那環境部對於你要提升這個作為位階而且先回答我你針對本期這三項在你的法規位階當中是不是應該要納入
transcript.whisperx[127].start 4669.699
transcript.whisperx[127].end 4684.465
transcript.whisperx[127].text 已經有列進了就是對於這一個原料來源的部分我們對於品質的規範要把它當作是一個燃料產品的品質規範他也必須要去做檢測跟驗證那使用端使用場他有引收標準那使用端這邊
transcript.whisperx[128].start 4685.745
transcript.whisperx[128].end 4709.291
transcript.whisperx[128].text 委員所關心的我們可以信使連線的部分全部都要去跟環保局連線而且增加了帶耀性的全區物質像CO以及HCL的連線因為帶耀性的檢測是必須要到實驗室檢測沒有辦法即時那即時的部分就是在全區我們一定會把它列進來那剛剛有講到我們體檢的結果有4個帶耀性不合格的部分其實這些廠都是
transcript.whisperx[129].start 4710.311
transcript.whisperx[129].end 4710.411
transcript.whisperx[129].text 請楊瓊英委員質詢
transcript.whisperx[130].start 4738.927
transcript.whisperx[130].end 4744.761
transcript.whisperx[130].text 謝謝邱委員跟我換次序,謝謝。主席楊全英發言,邀請部長。請郭部長。
transcript.whisperx[131].start 4753.782
transcript.whisperx[131].end 4754.102
transcript.whisperx[131].text 委員好
transcript.whisperx[132].start 4783.041
transcript.whisperx[132].end 4786.804
transcript.whisperx[132].text 是嗎?是。2026年你預計要達成多少?550億度的綠電。550億度的綠電。好。所以本席首先要請教,你的綠電來源怎麼來?
transcript.whisperx[133].start 4798.206
transcript.whisperx[133].end 4804.148
transcript.whisperx[133].text 黃美花部長的時候你前任的部長當時所答應的是往後延在2025年原本要達到20%那他在下任之前他承認達不到
transcript.whisperx[134].start 4826.636
transcript.whisperx[134].end 4844.518
transcript.whisperx[134].text 所以在2026年就延後那也說明在2025年是要達到綠能的這個部分是15%2026年20%是不是目前的進度也是如此呢是的是的那你剛剛所說的你有信心要達到
transcript.whisperx[135].start 4845.839
transcript.whisperx[135].end 4874.687
transcript.whisperx[135].text 您剛才所說的2026年550億度的這個綠能這是一個您點頭那所以接下來本席要請教那你認為可以達到我們也滿心的歡喜當然我不希望你跟這個王美華部長一樣又是跳票又跳票那我們不希望那所以要再請教那你要怎麼樣分配因為包括了我們非常重視的中小企業
transcript.whisperx[136].start 4875.968
transcript.whisperx[136].end 4889.042
transcript.whisperx[136].text 我們的第一攤話轉型包括了我們目前我們自己大企業等相關企業需要的包括了揮打我們也節省歡迎在這樣的情況之下你怎麼分配哪一個為優先
transcript.whisperx[137].start 4891.131
transcript.whisperx[137].end 4919.188
transcript.whisperx[137].text 怎麼分配我可不可以請這個能源署跟你報告部長應該你頭腦裡頭會有這些東西因為你已經說了你會達到那你也說百億度你既然有這個數字百億度要給回答你的頭腦裡頭難道你沒有我們中小企業嗎你沒有我們本土的企業嗎當然有啊當然有請說明怎麼分配所有要做出口的
transcript.whisperx[138].start 4920.865
transcript.whisperx[138].end 4938.402
transcript.whisperx[138].text 他需要綠電的需要綠電我們都是經過這樣子的統計然後來設置我們的這個發電的這個設置所有要出口的本身要告訴你的是中小企業不能把我們不給答不答應
transcript.whisperx[139].start 4941.755
transcript.whisperx[139].end 4961.988
transcript.whisperx[139].text 我們的中小企業低碳化的轉型務必要照顧到是不是當然這是你答應的所以本席也希望我們能夠達成成功同時在分配的時候一定要照顧我們全面性我們的中小企業對不對當然
transcript.whisperx[140].start 4963.909
transcript.whisperx[140].end 4988.981
transcript.whisperx[140].text 那就拭目以待那接下來本席要跟你討論的是固體再生燃料SRF的這個議題那我們看到推動可燃的廢棄資源燃料化這個是政府到目前為止我們的配套完整了嗎我們的配套完整了嗎我們的嚴格標準跟我們的監管法規到位了嗎請做說明
transcript.whisperx[141].start 4991.548
transcript.whisperx[141].end 5015.045
transcript.whisperx[141].text 跟委員報告我是環境部的次長那我想這個委員關心的部分就是從製造端到使用端製造端我們會訂出產品的規範請教請正正本席的提問你訂定了嚴謹的標準跟監管的法規嗎是你的配套完整了嗎因為SRF在整個製程跟燃燒的這個發電可能產生的空污是
transcript.whisperx[142].start 5015.805
transcript.whisperx[142].end 5032.404
transcript.whisperx[142].text 他是不是會影響的健康這些都是我們非常的關注我們也很關心請問你的配套完整了嗎各位委員報告我們在6月到9月期間我們做了體檢報告做了體檢之後我們發現了一些可以改善的地方我們也覺得有必要把這樣的一個
transcript.whisperx[143].start 5033.525
transcript.whisperx[143].end 5048.146
transcript.whisperx[143].text 可以改善的地方什麼時候會定出來?請教你現在只有產品原料是歐盟的標準但是你在整個空氣污染的排放你沒有比照歐盟你比歐盟這個鬆了很多
transcript.whisperx[144].start 5050.469
transcript.whisperx[144].end 5054.232
transcript.whisperx[144].text 會不會嚴謹請教會不會嚴謹請告訴本席會不會嚴謹你現在有訂的是參考指引對不對什麼時候訂排放標準跟加嚴標準因為你在桃園已經搞了一個烏龍選舉的時間強力推薦
transcript.whisperx[145].start 5079.181
transcript.whisperx[145].end 5086.307
transcript.whisperx[145].text 竟然我們中央經濟部的推薦書還可以再收回由桃園縣政府、桃園市政府
transcript.whisperx[146].start 5087.458
transcript.whisperx[146].end 5110.291
transcript.whisperx[146].text 又把它廢除竟然我們經濟部又又把廢除不准這個政府到底邏輯出在哪裡你第一個配套還沒有完整你的相關監管的還沒有完整尤其人民最恐怖最最怕的你的空污問題在這樣的情況之下已經搞了這個烏龍本席具體監理部長你站在面前要回答我會給你回答
transcript.whisperx[147].start 5112.912
transcript.whisperx[147].end 5132.839
transcript.whisperx[147].text 本席告訴你我們希望在你的法規監管都要嚴格有訂定出來的時候你才可以全面的來做這是人民最卑微的要求請做說明我想這個委員你的這個指教非常正確我們是已經有這個排放標準訂出來
transcript.whisperx[148].start 5134.864
transcript.whisperx[148].end 5149.092
transcript.whisperx[148].text 是有這樣定出來他說要年底啊 你說排放 好啦去釐清楚啦 你們兩個不要再不同調啦好不好好 那個環境部委員當然是有標準 我們是要加嚴比現況的標準還要加嚴當然有標準啊會加嚴 會加嚴 當然有標準啊不是 排放標準 跟委員報告 您專心的戴耀新
transcript.whisperx[149].start 5158.698
transcript.whisperx[149].end 5182.358
transcript.whisperx[149].text 我們聚焦!請教!我們聚焦!你預計在年底會把你重研的標準定出是不是?你告訴我時間是不是在12月底以前會拿出來?好!我們拭目以待!接下來本期要請教!中火!中火的環評!真燃氣就要拆藍莓!
transcript.whisperx[150].start 5183.479
transcript.whisperx[150].end 5199.28
transcript.whisperx[150].text 政府應該是如王美化部長當時所做的這個承諾,是不是?我想中火的部分,我們當然是因為減煤是我們第一目標所以我們要把燃氣趕快做起來
transcript.whisperx[151].start 5201.042
transcript.whisperx[151].end 5201.322
transcript.whisperx[151].text 應該就是照承諾走
transcript.whisperx[152].start 5229.779
transcript.whisperx[152].end 5233.981
transcript.whisperx[152].text 臺電董事長你要回答你告訴我時間點你告訴我時間點什麼時候拆那個機組要蓋好才能夠換這是我們承諾的對商場好之後要拆對不對
transcript.whisperx[153].start 5250.319
transcript.whisperx[153].end 5264.61
transcript.whisperx[153].text 那個委員我先說我們現在提出來的審查是把機組留下6部來做國安備用的機組這您簡報上面提到的他不會運轉他要有特別特別的才會運轉那我是覺得
transcript.whisperx[154].start 5268.052
transcript.whisperx[154].end 5271.573
transcript.whisperx[154].text 我們現在燃氣,我們都沒有反對喔!臺南的沒有我們的十分之一臺南都反對,就不做!那臺中呢?臺中我們已經做了喔!我們也歡迎爭氣!那你要猜沒啊?請教什麼時候猜?我們原則上就是機組要上來以後才能夠猜啦!我想說狀況就是這個樣子我想說國安的這個警備機組
transcript.whisperx[155].start 5296.437
transcript.whisperx[155].end 5299.58
transcript.whisperx[155].text 本席請教我們現在承諾的我們預計全部商轉要2035年這也就依照立法院的決定那個是無燃無燃的世界2035年請教王美花部長答應的剛剛部長說的會照承諾我們這兩部你這兩部的燃氣機組商轉成功就是拆掉我們的一基煙燈對不對
transcript.whisperx[156].start 5321.38
transcript.whisperx[156].end 5322.221
transcript.whisperx[156].text 你告訴我前任部長的承諾算不算?
transcript.whisperx[157].start 5338.521
transcript.whisperx[157].end 5342.224
transcript.whisperx[157].text 告訴我前任部長所說的算不算?
transcript.whisperx[158].start 5357.575
transcript.whisperx[158].end 5358.876
transcript.whisperx[158].text 就我的看法我不覺得王部長當時答應了後面這些事我們政務官有我們政務官就要照這個事情
transcript.whisperx[159].start 5372.708
transcript.whisperx[159].end 5379.372
transcript.whisperx[159].text 他沒有答應後面全部都是這樣子做的我想說這要跟委員做報告請你告訴我可以討論但是不可以說這個是王美花部長就承諾了請你告訴我目前在中火在蒸汽的兩部機商轉成功會不會拆我們一支煙燈你告訴我這一點就好2026年底以前會開始拆好2026年開始拆嘛那你早講嘛那是現在的這個機制好這一定要這麼做部長對不對
transcript.whisperx[160].start 5402.285
transcript.whisperx[160].end 5402.686
transcript.whisperx[160].text 好,2026年開始猜,部長是不是如此?
transcript.whisperx[161].start 5411.158
transcript.whisperx[161].end 5432.869
transcript.whisperx[161].text 前二任部長是?我要了解一下因為前一任的交接...答案就是照剛剛台建董事長說的2026年現在這兩部燃氣我們蒸汽就是要拆煤蒸汽就要拆煤你點頭我們一定要達陣成功好不好我們共同努力了這點一定做到
transcript.whisperx[162].start 5437.256
transcript.whisperx[162].end 5437.436
transcript.whisperx[162].text 請邀委員諮詢。
transcript.whisperx[163].start 5462.901
transcript.whisperx[163].end 5476.722
transcript.whisperx[163].text 謝謝主席我先請一下這個水利署署長請賴署長那個郭部長喝口水以後也可以上來
transcript.whisperx[164].start 5478.818
transcript.whisperx[164].end 5478.998
transcript.whisperx[164].text 請郭部長
transcript.whisperx[165].start 5500.121
transcript.whisperx[165].end 5527.839
transcript.whisperx[165].text 就災的這些規劃裡頭.你可不可以簡略說明一下.比如說我們有一些水庫的現實的狀態.跟整個防台的準備.可不可以請署長來簡要說明一下.是.跟委員以及大家說明.那這次抗激颱風.我們看到它的結構越來越完整.那它的行進的方向也是會登陸臺灣的這個.機率比較高一點.所以我們從禮拜一開始就進行了防台的準備.
transcript.whisperx[166].start 5528.359
transcript.whisperx[166].end 5547.159
transcript.whisperx[166].text 那這個準備區分為幾大項第一個是主要的水庫現在都已經到達滿庫的階段所以我們預先調節性的放水所以你們是什麼時候開始放水今天嗎還是禮拜一禮拜一就已經開始在調節性放水了這個是第一個部分第二個部分的話我們盤點了凱米颱風跟山陀爾颱風所受的災點
transcript.whisperx[167].start 5551.463
transcript.whisperx[167].end 5559.556
transcript.whisperx[167].text 那這些的狀況不管是缺口或是搶修搶選都已經完成了這是第二個部分第三個部分我們在做
transcript.whisperx[168].start 5561.425
transcript.whisperx[168].end 5561.985
transcript.whisperx[168].text 好,首長我想
transcript.whisperx[169].start 5582.058
transcript.whisperx[169].end 5605.087
transcript.whisperx[169].text 我會特別問就是說因為這一次的訪台應該是全台警戒所以你水利署掌管全台的這一些河川、水庫等等所以我希望是不是能夠也請水利署的同仁再辛苦一點包括在今天下午、中午以前是不是把所有的抽水站的機組、設備等等都做重新的檢視一遍
transcript.whisperx[170].start 5606.187
transcript.whisperx[170].end 5629.732
transcript.whisperx[170].text 以防這個萬一有大雨的時候這個抽水機不要有臨時故障的情況發生這個部分我可能要請水利署的同仁多辛苦那包括剛剛包括這個台電啦台水啦等等每一次救災的時候都是你們都在第一線這個我可能也要請部長給予我們的同仁多一點衛冕然後也請我們的同仁在這兩天可能要特別繃緊神經好來署長您請回
transcript.whisperx[171].start 5633.374
transcript.whisperx[171].end 5660.37
transcript.whisperx[171].text 來這個部長我想接下來大概就會跟您有相關是今天大家在討論這個所謂的SRF本來今天應該是經濟部的業務報告可是看起來現在大家對經濟部業務報告沒有那麼大的興趣都在談SRF什麼是SRF這個我想我就不用再特別再解釋再說明了那台灣現在的這些所有的使用廠SRF的使用廠環境部有去做過評比
transcript.whisperx[172].start 5661.891
transcript.whisperx[172].end 5683.6
transcript.whisperx[172].text 大概九成是符合你們的這個九成以上的廠商其實是有達標的嘛沒有達標的這些部分你們現在在輔導他們在重新能夠達到這個政府的標準這個我想也是我們對於使用SRF的這樣的一個標準的檢驗甚至連空污的排放等等
transcript.whisperx[173].start 5684.861
transcript.whisperx[173].end 5700.88
transcript.whisperx[173].text 那這些SRF的使用廠全台灣有這麼多家最近大家為什麼我們的招委會特別排這個因為在桃園就產生了問題嘛桃園現在已經有5家在運作的SRF廠
transcript.whisperx[174].start 5702.491
transcript.whisperx[174].end 5727.625
transcript.whisperx[174].text 我也把它列出來了那最近被廢止的三家呢還沒有開始運作有的已經蓋好九成有的蓋好七成有的才剛剛在申請開發許可而已各個情況不一蓋好九成的那一家呢是美商我為什麼會特別要問部長就是說到底還沒有蓋好的你就說他沒有達到標準
transcript.whisperx[175].start 5728.735
transcript.whisperx[175].end 5737.613
transcript.whisperx[175].text 那理由是什麼已經發給人家執照了人家蓋到一半了蓋到九成了已經開始要試運轉了你給他撤照
transcript.whisperx[176].start 5739.514
transcript.whisperx[176].end 5739.974
transcript.whisperx[176].text 我待會要請部長來回答
transcript.whisperx[177].start 5759.335
transcript.whisperx[177].end 5786.565
transcript.whisperx[177].text 那剛剛有委員就講說桃園的蘇俊斌就講說因為你們的這個標準沒有達到歐盟的標準所以他要求要比照歐盟的標準剛剛楊瓊義委員也特別問到環境部你的標準是什麼你的標準有沒有訂出來標準在哪裡來我給你看次長你們下次來做報告的時候不要只有文字啊
transcript.whisperx[178].start 5787.608
transcript.whisperx[178].end 5811.013
transcript.whisperx[178].text 你的標準就在這裡啦你的進熱值是比歐盟還高啊你的綠含量是跟歐盟相同啊你的拱含量也跟歐盟相同啊千含量歐盟沒有訂定但是你跟韓國是相同的啊歐盟沒有的你比照其他的國家的標準歐盟有的你有的是跟歐盟一樣的標準有的是比歐盟還嚴這些東西你要能夠講得出來啊否則委員問你
transcript.whisperx[179].start 5816.72
transcript.whisperx[179].end 5844.746
transcript.whisperx[179].text 你啞巴吃黃蓮啊一句話都回不出來啊次長來說明讓您說明一下吧好謝謝委員我想那個剛剛委員已經把我們現在比照歐盟那歐盟沒有的標準我們比照像韓國他們有沒列進來那我們未來還會去檢討說是不是還有家園的空間至於桃園市政府他們所提的這些建議其實要看他們比照歐盟的是你一定的發電量以上的時候用什麼樣標準
transcript.whisperx[180].start 5845.606
transcript.whisperx[180].end 5852.551
transcript.whisperx[180].text 所以您剛剛的回答我白話文解釋就是說現在有的使用廠現在在桃園的這五家它的標準其實也都沒有到歐盟的標準因為它這是舊的廠了嘛 對不對那你未來新的廠都還沒有蓋好都還沒有使用但是你們檢驗的時候你們要求的標準其實就是要比歐盟更嚴格
transcript.whisperx[181].start 5875.786
transcript.whisperx[181].end 5889.186
transcript.whisperx[181].text 好那舊的廠沒有到那個標準可以繼續用新的廠比歐盟更嚴格不能使用那這個邏輯我就不太懂了各位委員報告不是這樣子現在的使用中的廠都依照我們現在的規定我們現在比較是說依照現在的規定所以它是符合現在的
transcript.whisperx[182].start 5891.048
transcript.whisperx[182].end 5915.823
transcript.whisperx[182].text 要用現在標準去檢視未來的廠是要符合比歐盟更嚴格的標準未來的廠沒有放寬未來的廠還是要用這樣的標準去檢視我要講的是說如果它的發電量超過300MW以上的時候歐盟是有一個另外的標準你不能拿那個發電量來比我們現在的發電量而且我要說明的是我們現在使用中的18廠其實主要都不是用在發電
transcript.whisperx[183].start 5916.684
transcript.whisperx[183].end 5938.135
transcript.whisperx[183].text 因為他們本來就是職場在使用煤炭那取代煤炭的使用有減碳的效果那桃園那新的三個廠其實是專門為了發電而蓋的當然這個部分我們要看地方政府跟居民要做好溝通要保護市民的健康也要考慮到桃園會區處理的去化的問題
transcript.whisperx[184].start 5938.995
transcript.whisperx[184].end 5962.494
transcript.whisperx[184].text 我想這個桃園的廢棄物的去化的問題這個是相對重要保護居民健康這個也很重要我們一直在談SRF剛剛我看到這個經濟部的簡報裡頭特別舉了瑞典的梅拉倫湖發電廠部長我不曉得您有沒有去過那裡或者是您對這個東西有沒有徹底的了解這個是天下雜誌在2020年的報導
transcript.whisperx[185].start 5966.038
transcript.whisperx[185].end 5988.367
transcript.whisperx[185].text 梅拉倫的發電廠過去也是燃煤的他後來在2014年開始慢慢的把燃煤改成燃燒林業廢棄物現在他的所有的燃煤廠已經改燒廢棄物生活廢棄物或者是木質的廢棄物也就是說他把很多東西也做成SRF來燃燒發電
transcript.whisperx[186].start 5990.268
transcript.whisperx[186].end 6008.101
transcript.whisperx[186].text 所以就減碳量就不燃煤減碳量來說這個在你們的報告裡頭都寫得非常的清楚我認為應該要重新定義或者是說要把SRF對於環境所造成的影響減少排碳量減少的這個區塊
transcript.whisperx[187].start 6009.982
transcript.whisperx[187].end 6026.788
transcript.whisperx[187].text 應該要去做詳細的說明如果環境部願意加嚴管制的話我覺得不要讓SRF的這個SRF廠跟SRF的發電廠變成被污名化而造成台灣很多的廢棄物去化
transcript.whisperx[188].start 6027.728
transcript.whisperx[188].end 6030.95
transcript.whisperx[188].text 是完全同意我回去以後會跟環境部我們就委員所指導的這個方向來收集資料然後來定義這個新的這個模式這樣
transcript.whisperx[189].start 6049.46
transcript.whisperx[189].end 6060.531
transcript.whisperx[189].text 另外就是說我剛剛提到一個問題還沒有時間讓您回答就是關於跟美國、美商之間的這一個經濟糾紛、貿易糾紛、官司糾紛的問題我認為經濟部應該要好好處理
transcript.whisperx[190].start 6065.345
transcript.whisperx[190].end 6084.712
transcript.whisperx[190].text 我們會深刻反省這個政權或者是政策政權可以輪替政策是延續所以不能貿然因為現在的市長不同人你就把過去的徐可汗把人家廢止已經蓋好了人家已經蓋好了而且是國外的投資商我聽說這個AIT也
transcript.whisperx[191].start 6089.096
transcript.whisperx[191].end 6094.742
transcript.whisperx[191].text 也非常關心這件事情所以我想這個經濟部應該好好的去處理這件事,謝謝請陳其凱委員質詢張其凱不好意思
transcript.whisperx[192].start 6128.368
transcript.whisperx[192].end 6129.811
transcript.whisperx[192].text 請安保定請郭部長委員好
transcript.whisperx[193].start 6140.902
transcript.whisperx[193].end 6146.346
transcript.whisperx[193].text 現在問題是我也很希望回答趕快到臺灣社場不過今天媒體的反應很多就是講說你會不會畫大餅或者畫餅充其
transcript.whisperx[194].start 6168.421
transcript.whisperx[194].end 6191.176
transcript.whisperx[194].text 所以我們今天 我知道你起筆破字外 你有把握嘛 對不對這個跟氣魄沒關係啦 我是就事論事啦 不知道的人 他要說這樣 我也沒辦法 因為每個人的角度 跟每個人的認知 不會一樣所以我現在同情的就是 所以重點就是我們說到做到嘛 對不對
transcript.whisperx[195].start 6192.237
transcript.whisperx[195].end 6209.379
transcript.whisperx[195].text 當然啦!當然啦!我們說到做到嘛!所以我們今天很明確的來做!國務部長要給揮打的一百億度的綠電要從哪裡來?那具體啊!是啊!對不對!我們今天就來討論要怎麼做嘛!我們把步驟先列一下好不好!有具體的計畫跟時程才不會被外面笑說你是
transcript.whisperx[196].start 6210.401
transcript.whisperx[196].end 6211.001
transcript.whisperx[196].text 這是王陽明12歲所寫的詩
transcript.whisperx[197].start 6235.779
transcript.whisperx[197].end 6264.995
transcript.whisperx[197].text 就是這樣啊,大家各做不一樣,看一個事實,不能這樣說我是畫大餅所以你要印證說你做得到不是畫大餅嘛來,那我們就具體問你,怎麼樣才不是畫大餅嘛幾個步驟至少要做啦,部長等一下,我跟你講第一個,你要達成這個事情,第一個步驟要做,總要聯絡黃仁勳嘛因為委員你剛才在問說黃仁勳說的嘛但是就我們的資料,黃仁勳沒有說要一百億度嘛
transcript.whisperx[198].start 6266.065
transcript.whisperx[198].end 6278.445
transcript.whisperx[198].text 有啦有啦這個是媒體見了好幾次報的嘛OK那沒關係那你認為他要多少沒有那OK那你沒有收聽一個動作嘛不定不定收聽一個動作那你不管他要多少度的電他總是要回來嘛對不對
transcript.whisperx[199].start 6279.667
transcript.whisperx[199].end 6279.987
transcript.whisperx[199].text 這個我們知道的
transcript.whisperx[200].start 6309.54
transcript.whisperx[200].end 6318.216
transcript.whisperx[200].text 沒有 要一個時程表例如說一個禮拜趕快去跟他聯絡好不好你聯絡他 你想不想把他當成我們跟世界大廠做聯絡 要一個評議嗎
transcript.whisperx[201].start 6320.677
transcript.whisperx[201].end 6348.668
transcript.whisperx[201].text 好了聯絡這個事情這個報告委員我不要定時接到國際的大公司都有他的海外的這個時程我想這點你應該是非常清楚啦其實這個應該牽扯到他的這個有一些策略啦策略你把世界都講過了我們當然是陰莽一盪啦陰莽你要努力你是經濟部長嗎你給他好朋友台灣就輸了你當然要去做事啊委員我跟他是朋友沒有錯啦但是我們不能夠
transcript.whisperx[202].start 6349.895
transcript.whisperx[202].end 6368.852
transcript.whisperx[202].text 公開他太多的這個這個前瞻策略啦我這坦白講經營我也你很清楚嗎經營上面有很多的他不回來是不是他不會不回來啦對啊而且你更重要是人民跟你希望他回來我們答應他我們答應他就是投資的幾個要素
transcript.whisperx[203].start 6369.773
transcript.whisperx[203].end 6380.289
transcript.whisperx[203].text 投資幾個要素但其中有一部分就是人力的問題人力的問題我們還在跟他溝通啦人力啦那當然電通重要啦來那我問你你昨天講了一個很重要
transcript.whisperx[204].start 6381.178
transcript.whisperx[204].end 6403.596
transcript.whisperx[204].text 你說你綠電是可以給他的嘛對不對綠電我昨天提醒你喔是啊是綠電喔我講是綠電喔所以我今天跟委員重新報告一次2026年我們經濟部的綠電是可以發出550億度這個不要畫大餅這個馬上就看得到來來來 保定我先問你這個這樣好我請台電來保定我先問你你的目標2026你說500億我問你現在多少
transcript.whisperx[205].start 6411.407
transcript.whisperx[205].end 6413.989
transcript.whisperx[205].text 我們在講說500,那個是我們的計畫,2026年嘛,而且我跟委員報告,就是說時間點
transcript.whisperx[206].start 6432.389
transcript.whisperx[206].end 6441.592
transcript.whisperx[206].text 就是Evan這個回答他現在來臺灣投資也不會馬上要100億度啦我想這個你應該很清楚嘛你現在手上有的現在的綠電多少?
transcript.whisperx[207].start 6449.295
transcript.whisperx[207].end 6451.096
transcript.whisperx[207].text 你這樣講說我昨天有特別跟你報告過了這一個電的多少增量
transcript.whisperx[208].start 6473.006
transcript.whisperx[208].end 6496.517
transcript.whisperx[208].text 沒有線性關係啦!沒有線性關係啦!我們的時間走,可以看多久,這是時間走所產生的總量啦!所以沒有線性關係,這個我昨天也跟你報告過了你兩年後達到這個目標,而且老實講現在是困難的,不然你我提醒一下喔!各地現在那個光電,太陽能光電啦,現在抗爭不斷,像我自己人,一個大山的大坡
transcript.whisperx[209].start 6498.166
transcript.whisperx[209].end 6500.488
transcript.whisperx[209].text 我相信你很關心我啦 所以你會反而說我會跳票 我真的謝謝啦
transcript.whisperx[210].start 6524.724
transcript.whisperx[210].end 6529.388
transcript.whisperx[210].text 昨天也有一個很嚴重的問題,來,我給你看一下。我們沒有整個綠電啊,昨天我在質詢,你看我笑成這樣你知道我在笑什麼?昨天卓榮泰卓院長竟然說我們的綠電現在佔比所有發電的16%
transcript.whisperx[211].start 6551.278
transcript.whisperx[211].end 6563.825
transcript.whisperx[211].text 現在嗎?我到2030年2030年的時候我們有到30%嗎?現在16%?他說不表記喔?是不是口誤?現在多少?現在我們地區電?你知道現在268一度嗎?對不對?知道嗎?對不對?那現在是佔我們的總電量的多少?我可以回答嗎?我可以請裁定那等一下我要求時間要久一點喔來來來,温生你答
transcript.whisperx[212].start 6581.189
transcript.whisperx[212].end 6598.176
transcript.whisperx[212].text 那個委員昨天那個院長報告裡面寫的是這樣因為要我們回答說河山二號機在大修大修的時候我們來這幾天來再生能源的比例是怎樣所以我們就照著題目的規格答說這幾天再生能源的比例大概16%
transcript.whisperx[213].start 6600.458
transcript.whisperx[213].end 6606.865
transcript.whisperx[213].text 他有兩種統計方式,因為你問了一個這樣子的問題,如果你要問整年,整年的話去年大概10%還沒到。那我們接下來的話,狀況是這樣,今年開始併網的離岸風電會越來越多,現在併了超過2.7個Giga。
transcript.whisperx[214].start 6624.823
transcript.whisperx[214].end 6644.352
transcript.whisperx[214].text 陸續會併一直到2526其實最大的增量會是在這個地方所以現在第一個有抗爭我跟你講你那個併不併而成或者是這是第一個問題嘛昨天到底 欸 柏定這個事情很重要喔 是昨天是不是院長信口開河我不要說他87了喔欸你昨天是在旁邊的喔你昨天站在旁邊你沒有幫他拿錢對不對我們現在的綠電沒有占我們的發電的總量的16%嘛答案應該是多少
transcript.whisperx[215].start 6653.602
transcript.whisperx[215].end 6661.287
transcript.whisperx[215].text 昨天是首長口誤,第二個是你們提供舊的資料、臭的資料,第三個同樣的報告委員,這個可能是我們是針對你所問的那個問題來回答阿現在就沒有16%,我們台灣當時綠電已經到了電量,來來來,我給大家看答案,來來來,你要跟我爭辯這個來,我們看一下
transcript.whisperx[216].start 6681.286
transcript.whisperx[216].end 6683.187
transcript.whisperx[216].text 在去年啦我們的總發電量是2823億度對不對
transcript.whisperx[217].start 6687.093
transcript.whisperx[217].end 6709.927
transcript.whisperx[217].text 綠電佔多少?再生能源佔多少?9.5%嘛!這是古年文生力道講的嘛對不對?去年不到10% 9.5%好我用最新的喔用最新的看右邊這個圖今年到目前為止1到8月用1月到8月的這個最新資料1922億度我們再生能源多少?10.5欸阿10.5長在國會殿堂對著我們講說我們已經不是10.5公16%
transcript.whisperx[218].start 6715.691
transcript.whisperx[218].end 6720.494
transcript.whisperx[218].text 我跟你講我還特別去看了你們最近這幾天的啦到16的也非常少啦
transcript.whisperx[219].start 6744.181
transcript.whisperx[219].end 6762.408
transcript.whisperx[219].text 所以這個有問題,我告訴你沒有,第一個我記得我們對全體資料交代清楚,第一個博院長在立法院在國會電廠有沒有講錯話不要說他白白的,可是他這個資料有問題你們要很清楚跟他,對不對不是,我們大家屬於專業的去年只有綠電在深圳只有9.5%今年到8月只有10.5%到目前為止
transcript.whisperx[220].start 6769.11
transcript.whisperx[220].end 6792.148
transcript.whisperx[220].text 也不可能是16%這個灌水太嚴重,要趕快更正好不好報告委員您講的都是對的但是我們所引述的資料跟有一些不一樣我們是講那天嘛那天你在問那天的比例啦你是講幾年多的啦所以這個是在大家論述的點不太一樣啊您也是對的我們院長也是對的啦
transcript.whisperx[221].start 6793.469
transcript.whisperx[221].end 6811.226
transcript.whisperx[221].text 你那天你回去查一下我再問他那天是16號你如果說用這個圖來那個月裡面只有颱風來那幾天有超過16大部分都沒有16沒有不要爭辯讓證據講話分母不一樣啦分母不一樣大家引述的資料的分母不一樣那現在最重要保定我剛剛這個質詢很重要的
transcript.whisperx[222].start 6813.889
transcript.whisperx[222].end 6836.748
transcript.whisperx[222].text 就是你的綠電老講是不過的那你要去那邊找綠電這個第一個你趕快去跟黃仁堅談趕快叫他你剛剛講嘛人力嘛電我們幫忙趕快讓他回來全台灣都希望嘛對不對阿第二個你要弄清楚他的綠電到底有多少你能夠給他多少第三個你的電力啊你這個綠電不過你要從哪邊來現在有人在笑你啊你弄到後來怎麼樣真的要嘛你有新的技術嘛
transcript.whisperx[223].start 6837.549
transcript.whisperx[223].end 6838.25
transcript.whisperx[223].text 黃仁欣說的是三部曲
transcript.whisperx[224].start 6861.721
transcript.whisperx[224].end 6888.453
transcript.whisperx[224].text 德雷他說先說要100億度的電第二個一公尺就這句話他說核能是最理想的能源他還講了一句話他說核能也是綠電你去查這個都是有資料可循的所以你現在還有一條活路啊你不用到菲律賓去買電回來啊你用核能就可以啦我跟你講昨天為什麼會出現院長這個錯誤我現在可以另外一個可能性回到上個圖我給大家看一下你有沒有發現
transcript.whisperx[225].start 6890.151
transcript.whisperx[225].end 6907.82
transcript.whisperx[225].text 一到八月份再生能源綠電10.5對不對如果加上左邊那個核能5.4%剛好就是16了你不是心裡把核能也認為綠電可以用嗎你把這個加起來就是16現在不管是不是故意或者是無意我跟你講好好用核能黃誠心都這樣講啦
transcript.whisperx[226].start 6909.957
transcript.whisperx[226].end 6917.021
transcript.whisperx[226].text 謝謝委員最後我問一件事情常常你跟院長一直給我爭執一個東西你說啊大家都用RE100你知道嗎現在大家更流行的是什麼已經到了全時無碳電力了就是CFE
transcript.whisperx[227].start 6939.899
transcript.whisperx[227].end 6968.208
transcript.whisperx[227].text 當初RE100啊連那個創始的會員國會員的最大企業亞馬遜現在都退出了他都已經加入CFE了CFE現在有多少?微軟、三菱電機、Google都是啊亞馬遜現在都進來了更重要的他是官方的他是聯合國能源組織攜手25家以上的大的企業跟組織共同倡議的他都認為核能要用啊
transcript.whisperx[228].start 6969.448
transcript.whisperx[228].end 6969.468
transcript.whisperx[228].text 謝謝委員
transcript.whisperx[229].start 7002.625
transcript.whisperx[229].end 7023.261
transcript.whisperx[229].text 在陳廷飛委員諮詢完畢,我們休息5分鐘,現在請鄭正前委員諮詢。謝謝主席,我想請一下郭部長跟沈長翅。還有沈長翅。
transcript.whisperx[230].start 7030.745
transcript.whisperx[230].end 7051.443
transcript.whisperx[230].text 非常早現在主席今天安排了就是我們經濟部的夜報然後也針對SRF的一個相關的一個問題進行一個專報然後我在想說說實話我覺得經濟部在講到經濟發展的時候我跟環境部他們是有些立場有時候會有一些些的一個衝突所以今天我們的環境部跟
transcript.whisperx[231].start 7052.624
transcript.whisperx[231].end 7065.914
transcript.whisperx[231].text 經濟部一起在這邊備詢我覺得這機會其實也是挺難得不過我想說我首先先問一下郭部長你知道大陸他們的人大常委會一般都在10月底召開那他們這次要延到11月4號到11月8號
transcript.whisperx[232].start 7068.736
transcript.whisperx[232].end 7088.407
transcript.whisperx[232].text 才開始召開而且預計會提出一個實照刺激經濟的一個財政方案那日本其實他們是在上週其實也選完了那個國會選舉然後他們預計在11月11號才要做那個首相的改選那這裡面都有一個共同點就是他們都配合了一個美國大選的一個問題
transcript.whisperx[233].start 7090.009
transcript.whisperx[233].end 7110.947
transcript.whisperx[233].text 那美國大選這邊的時候因為目前坦白說競爭也是很激烈可是因為有特定候選人他不斷的表示說臺灣偷了美國的晶片那針對這個問題的時候我不知道說我們的經濟部是不是有些特別的一個做法能夠去因應美國大選之後我們要怎麼去面對這樣的一個問題可不請部長簡單做個回應
transcript.whisperx[234].start 7114.689
transcript.whisperx[234].end 7128.534
transcript.whisperx[234].text 這裏面我想就像剛才委員所指教的這裏面有牽涉到很多是國安的問題所以我們現在在美國的這個選舉的最後的這段日子裏面其實是不便來
transcript.whisperx[235].start 7130.294
transcript.whisperx[235].end 7158.901
transcript.whisperx[235].text 明姐不過我相信其實對於整個美國大選結果之後一定會對台灣的產業產生一些的影響所以我們也希望經濟部這邊能夠提早因應那些有一些備案有A方案有B方案一起來做一個相對的一個因應謝謝委員的指教我想這個部分在國安系統上面都有應該都有準備經濟部當然是會做一些這個simulation就是說針對哪一位
transcript.whisperx[236].start 7160.161
transcript.whisperx[236].end 7165.584
transcript.whisperx[236].text 那我想說部長因為我剛剛聽到那個委員在問你那個我發現你國學能力其實很強就是可以背出一個很好的一個詩詞出來我在講畫大餅這件事情的時候我最近把那個背了表示你的中文底子是挺好的
transcript.whisperx[237].start 7186.494
transcript.whisperx[237].end 7206.132
transcript.whisperx[237].text 但我在想說針對畫餅這個事情的時候因為我們之前追問過很多次有關於你不斷的提到2030之前台灣不缺電也不缺綠電這件事情那我覺得你有一個前提就是在現有的計畫當中如果能夠如期進行可是呢因為重點在於是不是能夠如期進行所以它的執行力其實很關鍵
transcript.whisperx[238].start 7207.413
transcript.whisperx[238].end 7228.118
transcript.whisperx[238].text 我這邊只是要特別去提到因為今天我們針對SRF這部分的時候顯然就碰到了有一些跟我們計畫當中不一定能夠那麼順去走的問題所以我在這邊也想問一下就是我們環境部跟經濟部在這樣的問題當中是不是有足夠的能力去處理然後跟地方上是不是有足夠的溝通的一個狀態
transcript.whisperx[239].start 7230.441
transcript.whisperx[239].end 7251.651
transcript.whisperx[239].text 我們現在就是全力希望能夠達標啦就我想委員應該很清楚我從民間來的話我做事情的風格就是全力以赴那能夠達標為止啦所以您剛所指導的這個部分包括這個跟民間溝通的這件事情我想中央政府跟地方政府一定要攜手
transcript.whisperx[240].start 7253.211
transcript.whisperx[240].end 7253.451
transcript.whisperx[240].text 理解齁
transcript.whisperx[241].start 7268.157
transcript.whisperx[241].end 7294.294
transcript.whisperx[241].text 那部長那因為那個我想針對沈次長剛剛有回答其他委員問題的時候提到說今年年底前的時候針對SRF的一個相關的一個法令規定會先具體出來對不對那我在這邊也特別因為很多委員也都具體提到了就是我們目前就對材料的部分比照歐盟的標準可是對空污的部分並沒有比照歐盟的標準因為依照現在空污法當中的時候我們的標準相對寬鬆的這邊可以請次長這邊先簡單回應一下嗎
transcript.whisperx[242].start 7300.019
transcript.whisperx[242].end 7302.943
transcript.whisperx[242].text 那我問一下,我們的立狀污染物的排放標準是多少?
transcript.whisperx[243].start 7317.64
transcript.whisperx[243].end 7343.84
transcript.whisperx[243].text 跟委員報告因為之前桃園市政府的副市長也有做建議桃園市政府環保局也有做過建議那我要藉這個機會做一個說明就是歐盟他對於這個發電量的這個規模有不同的標準那因為我們國內現況的這些使用廠來講我們的標準跟他們的標準是相當的那所以針對比方說氮氧化物的情況也是相當嗎
transcript.whisperx[244].start 7344.84
transcript.whisperx[244].end 7346.061
transcript.whisperx[244].text 國發會在2030年的部分有特別提到
transcript.whisperx[245].start 7374.084
transcript.whisperx[245].end 7385.611
transcript.whisperx[245].text 希望國防會在109年提到2030年的時候我們的除能設備的目標值是多少?部長你知道嗎?我是不是請這個能源署來報告一下?
transcript.whisperx[246].start 7386.448
transcript.whisperx[246].end 7411.416
transcript.whisperx[246].text 報告委員整個儲能我們是分成並往型儲能1GW然後在發電端的是500MW我看到數字的時候有時候國發會這邊希望說在109年的那個前三七五建設當中的那個支持推動民間建設的時候是提到3GW的啦那我在想說到目前為止齁到今年目前為止的時候我們已完工的一個全國的儲能電廠的容量是多少有沒有具體數字
transcript.whisperx[247].start 7416.584
transcript.whisperx[247].end 7434.109
transcript.whisperx[247].text 我想我們應該是有距離舒適我們除能的話我們現在有這個新的發電模式然後可以讓這個除能的這個市場
transcript.whisperx[248].start 7436.147
transcript.whisperx[248].end 7460.834
transcript.whisperx[248].text 能夠得到更大的這個意見那個部長我這邊先簡單講一下如果沒有數字的時候因為坦白說我們在這個會期當中的時候其實從去年到從上個會議到現在的時候我發現經濟部確實很想要努力去發展綠電這部分然後也在排除一些目前碰到的一些阻礙那這部分本席是肯定的包括有關於有一些
transcript.whisperx[249].start 7462.915
transcript.whisperx[249].end 7469.592
transcript.whisperx[249].text 與電共生等等相關的問題上次有跟部長諮詢過那我看到數字的時候到目前為止的時候我們的純能電廠的
transcript.whisperx[250].start 7472.774
transcript.whisperx[250].end 7490.198
transcript.whisperx[250].text 農量是1.3G那但是到台電到2025年的時候我看到數字是只要1G所以目前是有點超前那超前坦白說也不一定是好也不一定是不好可是我們看到了現在很多儲能電廠卻出現了一個退廠潮
transcript.whisperx[251].start 7492.879
transcript.whisperx[251].end 7517.291
transcript.whisperx[251].text 很多人出現退場潮在過程當中的時候為什麼出現這個退場潮一定有一些相關的問題產生那我這邊因為今天有那個環境部的次長在這邊我想特別提到在這1.3GW目前的一顆剛剛那個政務院董事長也點頭這數字是對的對不對是對的嘛那我想問一下1.3GW的那個出電廠的時候要用到多少的鋰電池
transcript.whisperx[252].start 7521.58
transcript.whisperx[252].end 7540.937
transcript.whisperx[252].text 要用到多少鋰電池?有沒有誰可以回答?我們回去瞭解一下好,瞭解一下回答我因為坦白說我們跟經濟部這邊要資料要了好多天也都沒有達到具體的數字所以就是農業署長這邊有數字嗎?1.3G需要用多少鋰電池?
transcript.whisperx[253].start 7543.294
transcript.whisperx[253].end 7566.926
transcript.whisperx[253].text 我們回覆以後我們馬上瞭解然後跟各位報告好那我為什麼可以問到這個狀態因為之前在籌設出門電廠的時候坦白說非常的寬鬆只要有土地使用許可有台電的一個匱限就可以設所以基本上在過程當中對於消防對於安全對於整個廢棄物的處理都沒有相關的規定
transcript.whisperx[254].start 7568.547
transcript.whisperx[254].end 7577.351
transcript.whisperx[254].text 後來慢慢補救的時候呢現在對於消防安全有一個標準出來可是對於整個廢棄物的處理目前有沒有具體的一個處理的標準
transcript.whisperx[255].start 7580.037
transcript.whisperx[255].end 7580.057
transcript.whisperx[255].text 市長
transcript.whisperx[256].start 7610.937
transcript.whisperx[256].end 7625.183
transcript.whisperx[256].text 是,產業規模大那裡的時候就會進來是,這就是我特別要提到的問題就是說到目前為止我們只針對一公斤以下的鋰電池有回收的一個機制一公斤以上的鋰電池是沒有回收機制的
transcript.whisperx[257].start 7625.603
transcript.whisperx[257].end 7651.216
transcript.whisperx[257].text 所以本席這邊也特別希望就是我們經濟部跟環境部這邊的時候能夠針對鋰電池的一個工業使用的一個回收能夠盡快定出一個標準出來那尤其是鋰電池失火的問題到目前為止有多少的儲能電廠已經退出市場那個郭部長知不知道
transcript.whisperx[258].start 7653.527
transcript.whisperx[258].end 7658.72
transcript.whisperx[258].text 你是說鋰電池失火的問題嗎?對,到目前有多少的出能電廠已經退出市場你知道嗎?
transcript.whisperx[259].start 7659.757
transcript.whisperx[259].end 7678.087
transcript.whisperx[259].text 現在很多人在經營上面因為他沒有被使用了那我們現在就是會去了解這些問題因為他可以不在他原來的目的事業目的上面去做他其實轉到其他的這個理解這種事你剛剛要補充哪一個部分你可不可以補充一下我們現在在做深度節能就是ESCO的時候會用到儲電
transcript.whisperx[260].start 7685.211
transcript.whisperx[260].end 7686.493
transcript.whisperx[260].text 我們在用Exco的時候
transcript.whisperx[261].start 7706.794
transcript.whisperx[261].end 7734.842
transcript.whisperx[261].text 綠電的過程當中環保問題同時去兼顧到那我這邊也特別講到對於太陽能板因為馬上也會碰到一個回收的問題太陽能板目前的回收的時候也是用粉碎的方式直接用掩埋的方式目前以這為多數可是太陽能板是不是能夠有更高比例的回收進入再循環的一個體系當中這部分我們公研院已經有solution了是可是目前沒有進到整個的回收標準當中所以我希望經濟部跟
transcript.whisperx[262].start 7735.622
transcript.whisperx[262].end 7764.371
transcript.whisperx[262].text 環境部這邊 社長你簡單回答對 太陽能板的部分事實上現在已經有收基金就是每千瓦要收一千塊那這個部分我們已經有部分國內的廠商投入研發所以只要有 只要有破損 比如說颱風來破損的部分打專線電話就會有人來清楚處理但我們預估這個生命週期大概是10年20年後大量產生的時候一定會帶動國內的這樣的一個投入在這個設廠的部分那目前已經有方法可以處理
transcript.whisperx[263].start 7765.071
transcript.whisperx[263].end 7765.571
transcript.whisperx[263].text 請陳迪菲委員質詢
transcript.whisperx[264].start 7795.154
transcript.whisperx[264].end 7796.675
transcript.whisperx[264].text 經濟部開過兩次會議了兩次準備會議
transcript.whisperx[265].start 7824.312
transcript.whisperx[265].end 7847.051
transcript.whisperx[265].text 都準備好了嗎?這是57年來首個11月登錄的球台喔!報告委員,應該水跟電都準備好了?水跟電都沒有問題了。那水的部分,我們從地方到中央的責任,我們都劃分清楚了嗎?誰要負責什麼?我是不是請水利署長來跟您報告?
transcript.whisperx[266].start 7849.181
transcript.whisperx[266].end 7863.881
transcript.whisperx[266].text 這個部分都已經有明確的分工,而且我們在禮拜一的時候都跟地方政府產生橫向的聯繫。確定嗎?我想我們都在基層,署長你很清楚,只要是有颱風我們幾乎都在基層跑。
transcript.whisperx[267].start 7864.922
transcript.whisperx[267].end 7884.78
transcript.whisperx[267].text 我常常也都直接跟署長直接要求說哇哪邊需要來做協助然後我們的抽水機應該怎麼去配置怎麼去幫忙我相信署長應該接過我很多通的電話包括第六河川局等等所以我們在基層跑的時候我們發現一個問題從我們海米颱風來的時候當時候也是哇整個
transcript.whisperx[268].start 7891.653
transcript.whisperx[268].end 7904.569
transcript.whisperx[268].text 完全這個風雲變色一瞬間所以我們知道說在第一線的所有抽水機的調度地方跟中央的配置該怎麼分工
transcript.whisperx[269].start 7906.678
transcript.whisperx[269].end 7930.784
transcript.whisperx[269].text 對,第一個部分地方當然他有擁有他的這個抽水機除此之外我們中央也是會有那我在禮拜一的時候也跟我們當然啊地方跟中央都要有啊可是我為什麼會用這個問題來質詢署長就你在地方的權責跟中央的權責你有整個大牌中牌小牌嗎
transcript.whisperx[270].start 7931.704
transcript.whisperx[270].end 7956.588
transcript.whisperx[270].text 那個系統是不一樣的嘛抽水機有小台有中台有大台嘛可是你知道嗎在我們凱敏颱風的第一線的經驗是我們根本調不到抽水機啊為什麼調不到抽水機因為怎麼都被搶光然後呢在排水系統我們跟好不容易跟中央調到抽水機結果太大了
transcript.whisperx[271].start 7957.506
transcript.whisperx[271].end 7975.12
transcript.whisperx[271].text 太大了那個孔裝不進去啊所以我一直在說地方跟中央的權責在第一時間是不是可以救急我們的小排、中排、大排整個抽水管路的大小口徑
transcript.whisperx[272].start 7976.829
transcript.whisperx[272].end 7997.023
transcript.whisperx[272].text 是不是能夠符合我們抽水機的一個需求?誰在做這個調度?誰在做這個分配?在我們中央應變中心都會有一個統一的調度開明的時候確實因為災情相當的嚴峻所以我們從全國各地有調到抽水機到南部地方去但是這些的數量
transcript.whisperx[273].start 7997.583
transcript.whisperx[273].end 7998.144
transcript.whisperx[273].text 誰在做這個掌控?
transcript.whisperx[274].start 8018.107
transcript.whisperx[274].end 8031.666
transcript.whisperx[274].text 就是說我們凱米已經發生這個狀態了我為什麼一直強調57年來首個11月登錄的邱台它的狀況有可能會更慘而且瞬間的影響會更大
transcript.whisperx[275].start 8032.921
transcript.whisperx[275].end 8049.334
transcript.whisperx[275].text 所以我們要怎麼樣把凱米他過去我們所得到的一些教訓然後在這一個部分做調和誰掌控第一時間我們的抽水機誰在掌控第二我們要到第一線到底他的口徑
transcript.whisperx[276].start 8050.695
transcript.whisperx[276].end 8079.24
transcript.whisperx[276].text 你的口徑沒有處理好運到現場浪費人力、浪費精力甚至如果有需要的我們如果可以第一時間過去的話是不是能夠救急而且又得到比較萬全的一些協助可是你今天如果大的抽水機然後運到現場不能用浪費時間又浪費了所有第一時間可以預防的狀態
transcript.whisperx[277].start 8080.549
transcript.whisperx[277].end 8100.187
transcript.whisperx[277].text 是,謝謝委員提點。這些部分我們針對凱米之後都有進行相關的改善的工作。那我們在中央應變中心今天上午的5點30分已經成立了一級的開設。所以針對抽水溪的調度,包括管線的這個部分,如何避免抗熱颱風對我們造成
transcript.whisperx[278].start 8102.109
transcript.whisperx[278].end 8102.729
transcript.whisperx[278].text 主長,因為凱米確實是讓我們在瞬間的雨量
transcript.whisperx[279].start 8123.66
transcript.whisperx[279].end 8123.68
transcript.whisperx[279].text 對.是
transcript.whisperx[280].start 8150.698
transcript.whisperx[280].end 8174.025
transcript.whisperx[280].text 我們拜託署長我們把凱米再盤整一下凱米當時候沒有辦法到位的問題然後盤整而且不是中央地方也要拉緊神經啦中央地方所以我剛剛會說你們的全責劃分好了嗎你們很用心在做可是如果地方也是放鈴鈴
transcript.whisperx[281].start 8175.492
transcript.whisperx[281].end 8196.99
transcript.whisperx[281].text 也是沒有用啊這個我們在今天的這個應變的會議裡面我們還會再通知地方這個部分要拜託一下就是說我們在防災應變中心我們中央跟地方的權責在應急救急的整個調度怎麼去分工怎麼給最有效的訊息跟資訊
transcript.whisperx[282].start 8198.551
transcript.whisperx[282].end 8219.756
transcript.whisperx[282].text 這是重要,若有資訊落差,你怎麼調度就不好啦,調去就是沒用盡嘛,所以資訊不能有落差,這是我非常強調的。我們在第一線調度,我們自己都發生這個問題啊,調到現在說,哇,那個口徑我們的抽水機到現場太大了。
transcript.whisperx[283].start 8221.375
transcript.whisperx[283].end 8221.555
transcript.whisperx[283].text 兩枚立筆
transcript.whisperx[284].start 8251.415
transcript.whisperx[284].end 8277.301
transcript.whisperx[284].text 因為我們現在電價漲了之後雖然我們有分離峰時間、半尖峰時間跟尖峰時間可是你知道嗎傳產現在這一波他們計算下來只要是用電大戶它的級距是加倍從7%有可能到14%可是你知道嗎現在傳產發生一個問題他說
transcript.whisperx[285].start 8280.916
transcript.whisperx[285].end 8309.261
transcript.whisperx[285].text 委員你今天叫我們要拚經濟叫我們要去拿訂單結果我們訂單拿得越多我們的產量越多我們用電量越多結果集聚是用跳的兩倍跳結果兩倍跳之後它可以增加回過頭來跟我們的訂單增加成本嗎?不行啊不能啊所以他說的我訂單拿越多我料路多啊
transcript.whisperx[286].start 8310.865
transcript.whisperx[286].end 8331.32
transcript.whisperx[286].text 因為他原本給的價格就是這樣但是當你台電在往上攀升加倍循環的一個價格他不能回饋到原始所以所有的傳統產業說阿你現在是別人說大高家來不要再徵訂單了不要再搶訂單了
transcript.whisperx[287].start 8333.464
transcript.whisperx[287].end 8359.591
transcript.whisperx[287].text 所以我這幾天聽到傳產這樣的一個回應我嚇到了這確實啊所以我就掉了我們在這一次對於電的一個調漲確實是這個狀況可是我們問了台電台電說沒有啦我們有這個離峰時間半尖峰時間跟尖峰時間他們是可以依照他們的數據可是傳產都是24小時欸
transcript.whisperx[288].start 8363.145
transcript.whisperx[288].end 8375.558
transcript.whisperx[288].text 傳產都是24小時的,輪三班的,傳統生涯都是過去,在拚經濟幹一頓一腳,賠償照片天堂的。他們是在拚經濟跟時間賽跑的。所以你說這個離峰時間、半尖峰時間跟尖峰時間對他們來講,一點幫助都沒有。
transcript.whisperx[289].start 8386.5
transcript.whisperx[289].end 8386.941
transcript.whisperx[289].text 來,那個董事長
transcript.whisperx[290].start 8411.005
transcript.whisperx[290].end 8434.625
transcript.whisperx[290].text 報告委員那個7%、14%不是累進的這第一件事第二件事跟委員報告衰退的要衰退的才會有那個7%還漲但他也是隨著時間比較隨著那個就是說景氣復甦他還是會不是啊董事長你聽不懂我的意思我講的是現在當然不是衰退是現在他目前他還在
transcript.whisperx[291].start 8438.268
transcript.whisperx[291].end 8458.3
transcript.whisperx[291].text 真訂單它是我們在整個經濟狀況還OK的傳產那這些傳產它面臨的問題是當它在目前的狀況之下它的%數是如此當然不是累進啊可是它到了某一個坡度它就會往上跳
transcript.whisperx[292].start 8459.019
transcript.whisperx[292].end 8478.676
transcript.whisperx[292].text 我跟委員報告就是在電價的調整上這幾年來的調整其實狀況是大概看得到一個調整的協率沒有 董事長基本上我們最近會得到那麼多產業的一個聲音你們是不是應該要去成立一個平台
transcript.whisperx[293].start 8479.477
transcript.whisperx[293].end 8504.357
transcript.whisperx[293].text 去協助所有傳產他在整個用電的狀況否則他絕對不敢去接電他要說他不敢接電的大我跟委員報告那個部長已經一再指示我們要做這件事我們會來做這件事並沒有啊並沒有啊就並沒有啊報告委員這個我們要趕快加緊速度啦我們是方向方法都有啦那我們現在就是執行力要提高
transcript.whisperx[294].start 8505.398
transcript.whisperx[294].end 8522.62
transcript.whisperx[294].text 對阿,那你這個平台都沒有出來,傳展現在就對於說.中小微企業上面我們利用這一次的這個數位化還有這個深度節能這兩個方式,這個雙軸引擎下去可以幫助提高競爭力
transcript.whisperx[295].start 8523.621
transcript.whisperx[295].end 8540.346
transcript.whisperx[295].text 你說的智慧化對他們來講不是數位化我們幫助他說才有辦法智慧化數位化跟智慧化你這個部分要什麼時候去達到讓他們可以管控然後第二個你說要節能
transcript.whisperx[296].start 8541.646
transcript.whisperx[296].end 8556.739
transcript.whisperx[296].text 說真的要解的空間實在不大你應該去了解所有的傳產傳產的狀況他們其實每一次配合你們的所謂要一趴調整一趴調整大家是有夠辛苦的但是又要接訂單
transcript.whisperx[297].start 8558.3
transcript.whisperx[297].end 8577.457
transcript.whisperx[297].text 然後又沒有辦法得到我們政府關愛的眼神你說船產請問你們用了多少力量在關心船產?這個我們現在組織上面當然有調整所以我們會要求實際上面在執行力上面要看到成果我發現我會落實要求這個中小企業署跟這個產發署
transcript.whisperx[298].start 8583.335
transcript.whisperx[298].end 8595.904
transcript.whisperx[298].text 實際去落實這個計畫部長一個月一個月讓我們看到你做出什麼樣的起步我不敢要求說看到成果啦起步你到底對於傳產這一個所謂輔導光這個電光這個電喔
transcript.whisperx[299].start 8601.227
transcript.whisperx[299].end 8601.447
transcript.whisperx[299].text 是!是!
transcript.whisperx[300].start 8631.26
transcript.whisperx[300].end 8644.568
transcript.whisperx[300].text 我可以了解委員你所指教的我都可以了解所以我現在就是回到你說的一個月來這個那個平台先建立起來怎麼去協助所有傳產在整個所謂數位化
transcript.whisperx[301].start 8648.05
transcript.whisperx[301].end 8665.544
transcript.whisperx[301].text 還有節能的部分怎麼去做處理?沒有,可是你們做的節能都是那種很表面象徵的你們並沒有了解各個產業的需要這才是最嚴重的你都只是叫大家照本宣科然後從我們的電腦當中然後寫書面
transcript.whisperx[302].start 8668.906
transcript.whisperx[302].end 8690.258
transcript.whisperx[302].text 用書面這不對的產業的需要每個產業別他有不同的需要還有每個產業別有不同的一個狀況是委員你講的所指導的我完全能夠了解我也是這樣要求我的部署如果一個月內沒有看到成績那我會換掉這個部署
transcript.whisperx[303].start 8691.923
transcript.whisperx[303].end 8692.804
transcript.whisperx[303].text 休息5分鐘
transcript.whisperx[304].start 8732.352
transcript.whisperx[304].end 8747.758
transcript.whisperx[304].text 二、邀請經濟部部長.及設置SRF發電廠對我國環境之影響.及設置SRF發電廠對我國環境之影響
transcript.whisperx[305].start 8754.778
transcript.whisperx[305].end 8756.56
transcript.whisperx[305].text 有來吟詩作罪我們都嚇到我從小就會這樣講
transcript.whisperx[306].start 8784.241
transcript.whisperx[306].end 8794.514
transcript.whisperx[306].text 響鐘
transcript.whisperx[307].start 8798.285
transcript.whisperx[307].end 8821.954
transcript.whisperx[307].text 議員議員議員議員議員議員
transcript.whisperx[308].start 8826.278
transcript.whisperx[308].end 8826.938
transcript.whisperx[308].text 委員會主席
transcript.whisperx[309].start 8851.303
transcript.whisperx[309].end 8852.204
transcript.whisperx[309].text 委員會主席委員會主席
transcript.whisperx[310].start 8879.352
transcript.whisperx[310].end 8881.096
transcript.whisperx[310].text 不要去轉述的情形輸出
transcript.whisperx[311].start 8891.554
transcript.whisperx[311].end 8911.751
transcript.whisperx[311].text 你有聽到黃明志說的嗎?你是聽其他的人說黃明志說的嗎?五、六十年,就是就像你嘛,人家要演藝人體嘛,他不能倒聽聽說那種話。但是我說他提出來的不是律師,是要律師。我跟你講,這是看的,我們其實用常理來看一件事,好不好?他講的
transcript.whisperx[312].start 8924.319
transcript.whisperx[312].end 8924.339
transcript.whisperx[312].text 韓國瑜議員
transcript.whisperx[313].start 8941.985
transcript.whisperx[313].end 8944.147
transcript.whisperx[313].text 我們現在的那100億度﹖我的功力
transcript.whisperx[314].start 8971.42
transcript.whisperx[314].end 8972.063
transcript.whisperx[314].text 二、邀請經濟部部長
transcript.whisperx[315].start 8979.766
transcript.whisperx[315].end 8980.527
transcript.whisperx[315].text 沒有啦 我跟你講
transcript.whisperx[316].start 9008.831
transcript.whisperx[316].end 9008.871
transcript.whisperx[316].text 好,謝謝,要繼續開會
transcript.whisperx[317].start 9038.138
transcript.whisperx[317].end 9061.825
transcript.whisperx[317].text 請謝一鳳委員質詢。謝謝主席。我想請郭部長。請郭部長。還有我們水利署署長。請賴署長。
transcript.whisperx[318].start 9066.342
transcript.whisperx[318].end 9089.931
transcript.whisperx[318].text 委員長,部長,你知道吧,颱風要來了,去找他一下,好嗎?這跟你們水利學有非常大的關係耶,你知道嗎?你應該知道吧?署長都不見了,慘了,你看你署長落跑了,是不是因為颱風太大了,署長都落跑了,會不會災情像上次一樣嚴重?
transcript.whisperx[319].start 9092.517
transcript.whisperx[319].end 9120.086
transcript.whisperx[319].text 蘇長來了你不講是不是他去那個上洗手間啦蘇長你落跑了是不是他去關心災情颱風太大你落跑了是不是那個委員我們對於那個抗壞颱風的部分我們現在加強準備那今天也跟縣長有通過電話那針對於凱米颱風之前對於彰化縣境內的所有的淹水的問題他現在已經有產生開始預布
transcript.whisperx[320].start 9121.344
transcript.whisperx[320].end 9137.178
transcript.whisperx[320].text 對阿!對於我們大成地區、河美地區、鹿港地區上一次淹水的情況那這一次會不會再次發生?這個屬於縣政府所管的這個部分他已經在加強準備那我們對於縣政府未來治理的需求那是何舉管的呢?
transcript.whisperx[321].start 9138.755
transcript.whisperx[321].end 9163.469
transcript.whisperx[321].text 社會局管的部分呢?社會局管當然我們禮拜一就已經開始做黃台的準備了有沒有開始做了?一定啊 有啊是不是那這一次颱風來的時候會不會發生像上一次有可能潰堤的情況呢?我們做最好的這個準備嘛因應這個最壞的狀況那對於相關的不管是
transcript.whisperx[322].start 9164.912
transcript.whisperx[322].end 9185.74
transcript.whisperx[322].text 在河川內的就是說海堤的就是堤防以及相關的區域治水有沒有辦法協助長化縣那當然有啊有啊系統性的我們區域排水總共是26億那還加上治理的還加上了整個計畫26家26家幾億26家8億有沒有辦法處理
transcript.whisperx[323].start 9192.677
transcript.whisperx[323].end 9221.607
transcript.whisperx[323].text 我們現在都已經開始在進行設計之中了已經在設計了嗎對希望經濟部可以大力的協助因為畢竟到時候如果淹水了可能所有的產業設施很多委員所關心的不管是產業的問題不管是農業的問題都會發生非常重大的損失我希望經濟部可以做好準備可以嗎
transcript.whisperx[324].start 9222.627
transcript.whisperx[324].end 9242.264
transcript.whisperx[324].text 這個部長多次的叮嚀除了委員說明了之外對於比如說弱勢的地方不可中斷的營運不可中斷的地方我們都已經在加強在做處理這裡面包括抽水機的這個調度還有治理的工作好 謝謝喔 謝謝署長我現在想要請台電
transcript.whisperx[325].start 9249.309
transcript.whisperx[325].end 9253.404
transcript.whisperx[325].text 響鐘
transcript.whisperx[326].start 9259.715
transcript.whisperx[326].end 9280.848
transcript.whisperx[326].text 現在我們台灣全年度的用電是2765億度台積電一家就用了247.75度占了大概是8%那整個半導體占多少%你應該知道吧應該是12%
transcript.whisperx[327].start 9283.561
transcript.whisperx[327].end 9302.606
transcript.whisperx[327].text 我想請教,如果半導體的用電佔了12%,他們的用電大部分都是綠電,是不是?是的大部分都是,那我們現在台灣整體的綠電目前到達幾%?16%?上一次你們說16%,是不是?是的
transcript.whisperx[328].start 9308.168
transcript.whisperx[328].end 9315.187
transcript.whisperx[328].text 那剩下來的只有4%那4%裡面我們中小企業可以用到幾%
transcript.whisperx[329].start 9318.103
transcript.whisperx[329].end 9344.022
transcript.whisperx[329].text 我們現在是看這樣子啦就是說到底要用綠我們這個是比例啦全國發電的比例大概16%是綠電啦但是用綠電的人大概需要用綠電的產生除了半導體以外其他的中小企業哪一些需要產生綠電團體也可能需要啊如果未來他們要出口他們就需要綠電了這怎麼處理
transcript.whisperx[330].start 9346.024
transcript.whisperx[330].end 9361.744
transcript.whisperx[330].text 我們當然就是統計他們需要需求量然後幫助他們第一個可以買到綠電第二個幫助他們能夠節能又能夠減碳我想剛才也有很多的委員就這個節能減碳這個問題
transcript.whisperx[331].start 9363.146
transcript.whisperx[331].end 9390.835
transcript.whisperx[331].text 我知道你在提倡的是ASCO就是能夠深度節能的部分那目前中小企業來共同來做這個深度節能你們經濟部協助了多少那但是未來最大的情況就是這4%除了高科技產業所用的這12%的綠電剩下的4%的綠電你怎麼樣子能夠給中小企業以及你們未來
transcript.whisperx[332].start 9391.775
transcript.whisperx[332].end 9396.477
transcript.whisperx[332].text 我們現在綠電的就是從發電的部分來看就是最快速的方法就是從風力
transcript.whisperx[333].start 9412.242
transcript.whisperx[333].end 9439.47
transcript.whisperx[333].text 然後太陽能再來水利再來就是地熱第三生殖能我們有5、6種方式可以再提高綠電的這個量現在都是同時在進行中我們預計是這樣子本來是2025年底要能夠達到這個20%但是現在因為過去的一些總統原因那delay到2026年的11月可以達標那麼就綠電來講
transcript.whisperx[334].start 9441.972
transcript.whisperx[334].end 9453.646
transcript.whisperx[334].text 2026年的這個年底的時候我們大概可以發到550億度所以這個這樣子的一個亮年我們其實是可以滿足到2030年
transcript.whisperx[335].start 9455.509
transcript.whisperx[335].end 9481.701
transcript.whisperx[335].text 那我想請問為什麼不用核電?那所謂的原本的核電跟你所謂的新核能有什麼差別?報告委員我想你也是非常清楚這個核電是潔淨的能源對減碳是有幫助的但是核電不是綠電我知道我們現在目前2030年之前努力的方向是趕快讓需要綠電的人滿足它
transcript.whisperx[336].start 9482.827
transcript.whisperx[336].end 9483.167
transcript.whisperx[336].text 對,我問你的是
transcript.whisperx[337].start 9510.476
transcript.whisperx[337].end 9532.725
transcript.whisperx[337].text 現在所謂的核電跟新核能有什麼差異性那新核能它增加的成本更高那對於我們整體的減碳有什麼幫助是 報告委員我想這個命題我們都是可以討論的所以還在討論是不是我想應該是在討論因為我們如果確定這個
transcript.whisperx[338].start 9535.357
transcript.whisperx[338].end 9558.333
transcript.whisperx[338].text 安全沒有問題。第二個,核廢料是可以處理的。第三個,全民有共識。那這個三個前提都是可以解開的。那我們目前碰到的問題是這樣子。我想您指導的這個核三的問題,或者核二的問題。這個我們現在在這個法令上面,它還是沒有辦法。我們必須要先把這個法解開以後。
transcript.whisperx[339].start 9559.485
transcript.whisperx[339].end 9579.46
transcript.whisperx[339].text 那才可以去充分的去解決這個問題這個法如果沒有辦法解開的話我現在經濟部必須要依法行事那依法行事也就是說我現在的設備時間到了40年到了他就要停機我如果要重新啟用必須在5年前
transcript.whisperx[340].start 9580.401
transcript.whisperx[340].end 9583.263
transcript.whisperx[340].text 那不用核電的情況下是不是就增加了火力的發電?
transcript.whisperx[341].start 9600.991
transcript.whisperx[341].end 9625.399
transcript.whisperx[341].text 沒有啊,不一定,我剛才講過了,不增加的話,我們有很多的方法有啊,你現在台中的那個,現在要今天下午要審議的那個燃氣機組他就超過了原本的火力發電的容量啊,是不是?那不就是在增加嗎?那個用電量是可以增加,然後減碳量可以大幅降低
transcript.whisperx[342].start 9626.17
transcript.whisperx[342].end 9633.215
transcript.whisperx[342].text 用電量增加,那你不是在增加火力發電嗎?你不就在增加火力發電嗎?是不是?只是把它從燃煤變成燃氣嘛,是不是?不是,我們現在如果
transcript.whisperx[343].start 9642.711
transcript.whisperx[343].end 9642.911
transcript.whisperx[343].text 火力是綠電嗎?
transcript.whisperx[344].start 9668.271
transcript.whisperx[344].end 9674.779
transcript.whisperx[344].text 火力當然不是綠電所以我們將來會用氫來捕捉這個碳用氫能來捕捉碳這個我們也在研究開發一方面我們加快那個綠能的開發所以我的綠能是在
transcript.whisperx[345].start 9687.734
transcript.whisperx[345].end 9701.129
transcript.whisperx[345].text 在我們這個時候不斷的在加發太陽能光電或者是水力發電或地熱的發電或者是風力的發電那風力除了陸域的風電以外我們還有離岸的風電
transcript.whisperx[346].start 9703.391
transcript.whisperx[346].end 9731.08
transcript.whisperx[346].text 那這個部分其實是我認為可以得到更大的這個support如果大家願意支持我們台電發多更多的這個電廠我相信就是大家在看這台積電它用那麼多電半導體用那麼多電我們中小微的企業也需要做這麼多電臺灣就是一個以出口為導向以世界為我們的市場的這樣的一個國家的話我們必須要滿足所有企業大中小微
transcript.whisperx[347].start 9731.92
transcript.whisperx[347].end 9732.1
transcript.whisperx[347].text 請黃建豪委員質詢
transcript.whisperx[348].start 9758.885
transcript.whisperx[348].end 9786.949
transcript.whisperx[348].text 好謝謝我們主席那我們先請經濟部郭部長請郭部長委員好部長好部長這個我想大家也是非常關心電的問題阿我想身為交流委員會的委員今天特別來這邊問一件事情就是電價對於交通的衝擊阿到底這個大眾運輸算不算民生用電部長
transcript.whisperx[349].start 9787.915
transcript.whisperx[349].end 9788.356
transcript.whisperx[349].text 您這個問題是非常好
transcript.whisperx[350].start 9796.516
transcript.whisperx[350].end 9822.822
transcript.whisperx[350].text 我們可以考慮大眾用電是不是民生用電是嗎?目前是不是?我們可以來跟這個電價審議委員討論這個命題好,謝謝部長因為其實這一次這個問題我在兩個禮拜前就先問了說貴部這個電價審議委員會有沒有把公共運輸業的這個影響放進電價審議委員會裡面討論但是直到這個昨天晚上我是問有沒有而已我還沒有問內容啊
transcript.whisperx[351].start 9823.542
transcript.whisperx[351].end 9847.047
transcript.whisperx[351].text 昨天晚上來回應我所以導致我今天必須來問你嘛如果他們早點回應我的話我今天就不會來問你了好不好你們目前當然就回應完了所以我希望經濟部是一個應該是一個全台灣最有效率理論上應該是有最有效率的部會不要拖這麼久才回那好像一樣回到大眾運輸因為我看這個昨天晚上回應給我們的這文件裡面提到這個台鐵、高鐵、捷運這些大眾運輸電價可能會調漲因為他們屬於
transcript.whisperx[352].start 9849.667
transcript.whisperx[352].end 9849.827
transcript.whisperx[352].text 報告委員
transcript.whisperx[353].start 9876.701
transcript.whisperx[353].end 9893.855
transcript.whisperx[353].text 我們的公共運輸業大部分的費率都是國家可以做調控的那就整個行政院來討論這些大眾運輸如果因為電價而產生需要補貼這個也是在院裡面有討論就是由目的事業主管機關來編列預算補貼
transcript.whisperx[354].start 9896.617
transcript.whisperx[354].end 9914.199
transcript.whisperx[354].text 這是一種使用者付費的反應那他跟一般的商業比方說我們零售的小吃攤等等他的費率是不會受政府管制這完全是兩件事情所以要跟委員報告是他在公用性上面是足夠的
transcript.whisperx[355].start 9915.18
transcript.whisperx[355].end 9934.91
transcript.whisperx[355].text 但某種程度上它的費率是可以被政府管控的所以最重要是運算有目的是事業主管機能來考慮那如果我要提醒就是說因為如果把它列為電價上漲的部分到最後還是靠政府補貼那也有可能後續也有討論在交通委員會那邊也討論到底不要漲價我要提的是說如果漲價之後很多人
transcript.whisperx[356].start 9935.51
transcript.whisperx[356].end 9953.486
transcript.whisperx[356].text 尤其是坐捷運坐火車的人他如果漲價了他寧願回去騎機車那跟整個國家的這個減碳希望說大家搭乘大眾運輸的這個邏輯我想要被道歉所以這特別提出來提醒一下好那接下來換下一個昨天我想大家也看到說AIT這個處長講說這個臺灣會因為這個綠電水不足來出走那我想這個我們院長馬上出來幫經濟部講話說不會臺灣的電一定夠用
transcript.whisperx[357].start 9962.573
transcript.whisperx[357].end 9979.842
transcript.whisperx[357].text 但是有點牛頭不在馬嘴因為這個包含說昨天的AIT有講這個是綠電的問題那之前去年的美國商會的台灣白皮2023台灣白皮書也提到這個再生能源的發展不如預期也會影響我們產業的運作那包含我們近期這個我們台大電的我們台灣綠電的這個吳范生創辦人也講
transcript.whisperx[358].start 9983.224
transcript.whisperx[358].end 9995.296
transcript.whisperx[358].text 這個核三廠停機以後台灣可能這個核電除以之後綠電可能也不足啊那我們看一下部長剛剛自己在講的這個台灣的現在的再生能源綠電的結構16%但是我看去年2023年這個是台電公司的這個報告
transcript.whisperx[359].start 10000.5
transcript.whisperx[359].end 10021.916
transcript.whisperx[359].text 發電的結構發電發過電壓的結構裡面綠電的佔比太陽能風能水力加起來有的沒有的加起來大約只佔百分之十所以我們就確定說你這個百分之十六到底從何而來啊所以再回過頭來講今天古立言講的是說綠電不夠我們看到去年的綠電合計再生能源不是綠電再生能源合計242.9億度台積電去年用電就230億度了
transcript.whisperx[360].start 10027.701
transcript.whisperx[360].end 10033.461
transcript.whisperx[360].text 換句話說如果全台灣的綠電全部都給台積電用的話我們綠電所剩無幾那請問部長我們要去哪裏生出綠電出來
transcript.whisperx[361].start 10035.287
transcript.whisperx[361].end 10060.657
transcript.whisperx[361].text 綠電的部分我們有很多的方式在創電嘛剛才我想跟很多委員都討論過了我們的綠電我們創電的部分來自於風力來自於光電來自於水力來自於這些我都知道結構上有寫啦我是說去年就是這樣子數字而已啊那你這個16怎麼來的這個就是它不會隨著年度呈現線性關係
transcript.whisperx[362].start 10063.593
transcript.whisperx[362].end 10073.488
transcript.whisperx[362].text 就是說每一年每個月做多少,不會。它是我同時下去做,然後兩年以後、四年以後長出來的。所以這個創電的時間不一樣。
transcript.whisperx[363].start 10077.779
transcript.whisperx[363].end 10105.937
transcript.whisperx[363].text 他的量不一樣所以得到的結果會不一樣所以沒有線性關係所以你的16的計算不是用他每年度的發電發購電量結果是用某一天他曾經達到16%就認為我們的綠電有16%嗎我是不是請這個他們專家跟你報告一下好沒關係我們時間因為我是外委會時間比較少本來部長後面後續提供書面包給我你們那個16到底怎麼算出來的那回到這個電的問題我還是要討論一下今天台中火力電廠要自己讓它環評的部分
transcript.whisperx[364].start 10107.309
transcript.whisperx[364].end 10119.432
transcript.whisperx[364].text 現階段10部機組就550萬千瓦如果讓各位去蓋燃氣機組未來目標是要蓋6部燃氣機組蓋到6部燃氣機組之後它的這個發電量已經超過了現在的發電量6部燃氣機組這是你們的目標蓋6部燃氣機組
transcript.whisperx[365].start 10128.81
transcript.whisperx[365].end 10154.629
transcript.whisperx[365].text 現有的燃煤機組過去承諾要拆掉那也的確要拆了4座你還會留6座燃煤機組給我部長昨天在總諮詢的時候我想院長跟你都說不可能把這燃煤機組拆掉那回到問題啦如果電夠用的話第一個為什麼要蓋新的那如果蓋新的如果夠用而且還更多的舊的為什麼不能拆掉那個碳的問題啦啊碳的問題我知道啊我就是因為碳的問題所以問你燃煤機組可不可以拆嗎解決碳的問題啊
transcript.whisperx[366].start 10156.291
transcript.whisperx[366].end 10156.771
transcript.whisperx[366].text 我們就看環評結果阿
transcript.whisperx[367].start 10185.814
transcript.whisperx[367].end 10186.614
transcript.whisperx[367].text 報告委員現在的量不是在未來會一樣的
transcript.whisperx[368].start 10205.219
transcript.whisperx[368].end 10231.254
transcript.whisperx[368].text 未來我們整個中部地區還是會持續發展繁榮用更多的電所以我就是要把這個燃氣的電能夠滿足整個大台中地區大家都能夠幸福快樂地用電所以我們當然是要趕快把燃氣接上去將來我們的綠電如果大家更支持的話我希望大家可以用電
transcript.whisperx[369].start 10234.275
transcript.whisperx[369].end 10241.641
transcript.whisperx[369].text 主席 對不起 最後一句話 最後一段話而已現有的燃煤機組10部就550萬千瓦你蓋了新的燃氣機組之後再加上現的燃氣機組你是810萬千瓦
transcript.whisperx[370].start 10249.369
transcript.whisperx[370].end 10249.569
transcript.whisperx[370].text 我們的目標是一樣的
transcript.whisperx[371].start 10273.803
transcript.whisperx[371].end 10274.624
transcript.whisperx[371].text 請邱志偉委員質詢謝謝主席
transcript.whisperx[372].start 10304.796
transcript.whisperx[372].end 10326.732
transcript.whisperx[372].text 葉主席這個 作為召委都很辛苦都要主持會議對我個人而言這個遵守發言的這個時間是我作為一個國會議員基本的素質如果連這個機關都摸得在乎誰這個恐怕很難對選民承諾
transcript.whisperx[373].start 10333.342
transcript.whisperx[373].end 10356.557
transcript.whisperx[373].text 能夠具體來實現。所以我定6加2。好!好!先有請這個郭部長。請郭部長。姜文諾、姜署長。姜署長。然後我們游政委、游署長。游署長。委員好。昨天還沒問完的齁。部長。CPTPP我是這個立法院促進會的會長。那我長期希望
transcript.whisperx[374].start 10357.83
transcript.whisperx[374].end 10361.914
transcript.whisperx[374].text 我們希望說這個能夠在去年加拿大明年是澳洲相對不是這個中國可以控制的國家所以我們最怕就是中國因素
transcript.whisperx[375].start 10381.428
transcript.whisperx[375].end 10405.663
transcript.whisperx[375].text 現在有許多新的國家在加入是共識局我想請問一下江組長有沒有信心在明年澳洲當輪值主席的時候能夠有機會加入CPTPP您的評估呢?報告委員謝謝委員關心我們會盡各種努力來對於加入CPTPP是跟去年回答一樣
transcript.whisperx[376].start 10407.506
transcript.whisperx[376].end 10434.132
transcript.whisperx[376].text 因為報告委員您也很清楚我們要加入CPTPP的話必須要符合這個奧克蘭原則也就是那個原則我也很清楚我只是說你作為一個主管機關你當然還要結合談判辦公室對不對還要結合各個外交的管束社會管束因為會議國很多你要共識覺得何其容易何其困難非常不容易的事情但是我知道你們很努力我想請你說
transcript.whisperx[377].start 10435.132
transcript.whisperx[377].end 10455.735
transcript.whisperx[377].text 你評估明年加入的可能性高不高委員我們會盡最大的努力因為這個相關的這個入會工作小組的工作那你不能告訴我每年都要盡最大努力盡最大努力是基本的態度嘛但是我覺得你應該讓國會知道目前哪些國家的困難度比較高
transcript.whisperx[378].start 10457.547
transcript.whisperx[378].end 10484.506
transcript.whisperx[378].text 哪些國家還有哪些問題需要克服的我們一起結合外交部結合經貿談判公司一起來會商來解決嘛你要跟部長報告目前的進度在哪裡所以一起努力繼續加油謝謝好謝謝江組長來游署長昨天還沒完江組長請回座那個游署長這個部分啊利樂啊
transcript.whisperx[379].start 10486.36
transcript.whisperx[379].end 10512.832
transcript.whisperx[379].text 地流跟小水利發電都是再生能源對不對是但是你推動都會發生問題有一些的困難或者法令協調所以以至於我們有很好的這個地流發展的環境對不對但是卻沒有辦法去像其他國家土耳其啦或者印尼他能夠發電這個他的發電規模比雖然比我們晚開始但是他們建設的發電規模比我們快
transcript.whisperx[380].start 10513.888
transcript.whisperx[380].end 10542.435
transcript.whisperx[380].text 就是國家在主導你出席的投入成本挖掘成本很高對不對所以這部分昨天有跟這個部長提過第6、8令有相關的限制包括土地問題、人民資產問題、懷民問題、經費的問題另外主導性的問題如果由政府主導它難度就降低對不對是這部分我希望說部長是不是折成一個推動小組啊部裡面要有推動小組設定目標你現在目標設定實在太保守
transcript.whisperx[381].start 10543.824
transcript.whisperx[381].end 10560.032
transcript.whisperx[381].text 所以第6發電是為未來再生能源的重要的支柱之一現在是太陽能還有離岸風電為第6是很大的潛力但是我們沒有充分發揮我希望有揮動小組定期設定相關的HPI定期去追蹤
transcript.whisperx[382].start 10561.767
transcript.whisperx[382].end 10573.151
transcript.whisperx[382].text 這個部長可以嗎?可以,我會向我們的這個綠能辦公室啊來要求他要有專人來專責來這個這個組織然後來督導這個這個台電總經理台電王總這個第6發電跟台電有沒有關係?我覺得王總經理非常稱職他也非常專業專業的問題我要請教他因為第6部分
transcript.whisperx[383].start 10591.311
transcript.whisperx[383].end 10595.773
transcript.whisperx[383].text 您覺得未來台灣有沒有更大的發展空間?另外小水利發電也是很重要,部長
transcript.whisperx[384].start 10616.442
transcript.whisperx[384].end 10616.822
transcript.whisperx[384].text 另外這個環境部省次長
transcript.whisperx[385].start 10648.018
transcript.whisperx[385].end 10669.135
transcript.whisperx[385].text 新城市長部長委員好那個SRF目前啊這個當然SRF目前這個補助好像取消了嘛是補助取消了嘛你未來這些管制措施啊那你要怎麼去兼顧這個這個相關的這個去化的要求
transcript.whisperx[386].start 10670.089
transcript.whisperx[386].end 10677.975
transcript.whisperx[386].text 所以這個部分你這個SRF的政策補助政策有調整那64萬噸可燃的廢氣物這個處理的問題你們有沒有方案
transcript.whisperx[387].start 10681.732
transcript.whisperx[387].end 10700.896
transcript.whisperx[387].text 響鐘
transcript.whisperx[388].start 10700.996
transcript.whisperx[388].end 10706.72
transcript.whisperx[388].text 這產業反映一些亂象,這些亂象我想就提供給你看,製造端的違規現象,應用端的惡性循環,策略執行跟現實的落差,這些反映給你,你看怎麼去解決。
transcript.whisperx[389].start 10725.393
transcript.whisperx[389].end 10751.072
transcript.whisperx[389].text 有把這些三大亂象提出一個具體解決方案如果時間限制是不是可以一個書面資料給我?可以,如果您簡單報告一下我們在今年的6月到9月之前進行了前面的總體檢那麼也提出了一些改進的措施那在年底之前會訂定一些辦法以及這個排放標準的加嚴那另外替代燃料排碳的減量方法這個目前還沒有公告嘛對不對?我們是以這一個
transcript.whisperx[390].start 10753.391
transcript.whisperx[390].end 10755.812
transcript.whisperx[390].text 另外國發會要成立這個福島成立控股公司部長您覺得國發會的這個意見您覺得怎麼樣?
transcript.whisperx[391].start 10784.198
transcript.whisperx[391].end 10788.043
transcript.whisperx[391].text 我們現在主要就是因為要因應這個整個出口的這個市場
transcript.whisperx[392].start 10789.966
transcript.whisperx[392].end 10813.974
transcript.whisperx[392].text 所以他要成立這個控股公司幫助我們整個產業鏈也就是說現在比較沒有競爭力的這個產業鏈可以透過這個供應鏈的關係就產業嘛對對用水五金啦是不是水五金國家隊的這個意思對我知道水五金、車用電子包括資訊服務另外工具機嘛是先來工具機開始是
transcript.whisperx[393].start 10815.976
transcript.whisperx[393].end 10823.727
transcript.whisperx[393].text 國發會要輔導這些公司成立控股公司就是打國家隊那經濟部站在什麼角度去協助呢?我們站在就是幫他這個
transcript.whisperx[394].start 10825.469
transcript.whisperx[394].end 10826.39
transcript.whisperx[394].text 國會議員不能遵守這個發言時間就是基本的素養不夠
transcript.whisperx[395].start 10855.902
transcript.whisperx[395].end 10856.182
transcript.whisperx[395].text 請政廳財委員質詢
transcript.whisperx[396].start 10883.337
transcript.whisperx[396].end 10908.17
transcript.whisperx[396].text 主席、各位委員、有請部長。請郭部長。郭部長。好。這個本席再次的要請這個經濟部,尤其是水利署要依法行政。請賴署長。原則是基本法第20條規定,
transcript.whisperx[397].start 10909.881
transcript.whisperx[397].end 10935.679
transcript.whisperx[397].text 政府承認原住民族土地的權利然後這個行政院合定的公有土地增編原住民保留地處理人者定得很清楚有下列情形之一者該土地不得增編為原住民保留地就是兩個條土地法14條但是呢土地法14條這個部分
transcript.whisperx[398].start 10937.909
transcript.whisperx[398].end 10962.997
transcript.whisperx[398].text 經過工廠管理機關同意就可以水利法823條是不得私有水利法823條定的很清楚循常洪水位、行水區之土地不得移轉為私有我們絕對遵守這個法例土地法14條海岸一定限度內國產署的全部都同意真化變保留地
transcript.whisperx[399].start 10964.324
transcript.whisperx[399].end 10989.361
transcript.whisperx[399].text 唯獨所謂的可通運之水道及其沿岸而事實上原住民現在所尤其一些個案都不是可通運之水道根本就沒有辦法通運內政部修正了這個土地法14條第一項各款規定不得私有之土地這裡面特別提到
transcript.whisperx[400].start 10991.909
transcript.whisperx[400].end 11019.117
transcript.whisperx[400].text 只要工廠管理機關就可以同意就可以經濟部水利署106年也根據這個內政部的函式內政部的所修正的處理人者但是內政部水利署多了一些附調條件水利法83條你們說因為你們沒有公告沒有公告是你家的事情
transcript.whisperx[401].start 11020.956
transcript.whisperx[401].end 11041.584
transcript.whisperx[401].text 是政府的事情啊部長是不是這樣你沒有公告然後你就要扣大這是不對的我們願意遵守啊所謂立法83條啊好第二段請各河川管理機關切一未來治理首席之範圍認定
transcript.whisperx[402].start 11045.242
transcript.whisperx[402].end 11070.775
transcript.whisperx[402].text 很清楚未來治理首席之範圍我們先退一步到這邊並依原計法辦理好我們來看這個這是卑南西部長你看一下這個西很清楚我們的部落在最上方我們的部落這個十三部落我跟部長講非常
transcript.whisperx[403].start 11075.983
transcript.whisperx[403].end 11104.197
transcript.whisperx[403].text 非常可悲可憐的部落為什麼呢?這個部落本來在哪裡呢?現在的治航機場本來在治航機場為了要蓋治航機場就搬到這裡這本來就是我們的土地啦就搬到這裡這麼漂亮的治航機場這麼好的地方提供給國家
transcript.whisperx[404].start 11106.318
transcript.whisperx[404].end 11135.331
transcript.whisperx[404].text 為了國防搬到這邊我們自己的土地好 我們看這條北南溪堤防蓋了堤防在哪裡呢好 我來看一下這條道比較明顯的路 那是路吉林路在吉林路的下方那個白線的地方已經有堤防了
transcript.whisperx[405].start 11138.005
transcript.whisperx[405].end 11166.121
transcript.whisperx[405].text 部長已經有提防了而且這個提防啊紀理這個溪啊紀理這條溪非常的遠非常非常的遠還有很多很多的農地在那邊我們沒有要求這個農地一定要這邊保留地沒有我們只是要求我們自己的祖先留下來的土地而且已經是在提防
transcript.whisperx[406].start 11167.758
transcript.whisperx[406].end 11193.736
transcript.whisperx[406].text 提防跟部落之間的土地水利署很堅持而且不是未來治理首席提防就有了然後又用什麼呢我們要放消波塊消波塊放的地方已經過多了還要去增那麼一點點的土地
transcript.whisperx[407].start 11196.712
transcript.whisperx[407].end 11224.782
transcript.whisperx[407].text 所以這個部分另外呢在瑞穗也是一樣瑞穗、北岡大橋堤防部長你看看右邊的堤防堤防都有了左邊的土地也弄了很多要蓋消波塊、放消波也放了竟然我們的土地
transcript.whisperx[408].start 11225.816
transcript.whisperx[408].end 11254.851
transcript.whisperx[408].text 全部被劃為核酸7億線之內有提防喔!組長部長這個部分也沒有多少的土地這是祖先留下來的土地我們也要我們也願意你要做只能種只能種多少高我們都同意但是
transcript.whisperx[409].start 11256.513
transcript.whisperx[409].end 11265.37
transcript.whisperx[409].text 土地所有錢要還給我們這是行政所核定的規定而且是原住民族基本法所規定的
transcript.whisperx[410].start 11270.657
transcript.whisperx[410].end 11288.934
transcript.whisperx[410].text 委員你剛剛講的這個部分我們都會貫徹跟履行那至於你剛剛所提兩個個案我們也知道氣候變遷對於核道的這個治理的這個需求的部分我們不需要以核增地但我們也希望建立一個國土的韌性那完成治理
transcript.whisperx[411].start 11291.725
transcript.whisperx[411].end 11317.646
transcript.whisperx[411].text 委員,我們台灣的河川平常沒有水喔,大雨來的時候,整個河川裡面都是水所以你現在看到北邊這個地方,有一些農耕的這個地方,在大雨來的時候,它可能是會...我完全不認同,我們的土地變成河流也沒有關係沒有關係啊,沒有關係啊,我們不會要求補償,也沒有規定要補償啊,不會
transcript.whisperx[412].start 11319.724
transcript.whisperx[412].end 11347.035
transcript.whisperx[412].text 也沒有規定要賠償,不會?那個是因為有治理的所需要黃紅的需要的部分我們會依照這個水利法來做檢討至於你剛剛講兩個個案對於河川區域的所謂的勘定是不是可以再重新來做一個檢討這個回歸到專家的論證那我們在今年就已經開始啟動這個劃定的這個檢討作業你上次講說這個今年年底以前
transcript.whisperx[413].start 11348.175
transcript.whisperx[413].end 11359.97
transcript.whisperx[413].text 還是11月底以前?你上次是有這樣講嗎?那為什麼要積極的現在讓鄉親怎麼又一直放消波塊?保護我們的土地又放消波塊?
transcript.whisperx[414].start 11364.487
transcript.whisperx[414].end 11384.993
transcript.whisperx[414].text 委員,颱風這裡已經來了齁消波塊已經很多了我們需要相關的這個防洪設施啊災害的這個安全啊齁讓民眾在一個減災的社會可以安居樂業這是我們努力的這個目標自己看這個圖你放消波塊已經有提防了的
transcript.whisperx[415].start 11385.987
transcript.whisperx[415].end 11407.664
transcript.whisperx[415].text 已經有提防了這個我們在全國各地都有一樣的一個做法你知道你在別的地方都放我們都贊成為什麼一定要在我們原住民已經在使用的土地裡面來放呢這個沒有針對性這是依照防救災的這個需求它是你們認定的
transcript.whisperx[416].start 11410.694
transcript.whisperx[416].end 11410.894
transcript.whisperx[416].text 請賴樂雄委員質詢
transcript.whisperx[417].start 11439.952
transcript.whisperx[417].end 11440.955
transcript.whisperx[417].text 謝謝主席,請郭部長
transcript.whisperx[418].start 11448.484
transcript.whisperx[418].end 11472.143
transcript.whisperx[418].text 市長、委員好先請教黃仁勳說回台投資需要100億度的綠電他有講大概需要多長的時間嗎?報告委員是不是黃仁勳講的我不清楚但是這是一個假設命題但如果今天有一個廠商他需要100億度的綠電我們要知道說他在什麼時候需要這麼大的綠電
transcript.whisperx[419].start 11474.853
transcript.whisperx[419].end 11488.247
transcript.whisperx[419].text 所以可能也需要部長再回答這個問題可能要先把那個時間點抓出來假如他需要在這1、2年內需要的話那當然是相當巨大的跟委員報告如果兩年後需要兩年後需要我們是做得到的
transcript.whisperx[420].start 11488.507
transcript.whisperx[420].end 11493.193
transcript.whisperx[420].text 是我看整個綠電的狀況是整個綠電狀況在2022年其實已經有238億度的那到了2025年明年就已經有578億度當然很多都要
transcript.whisperx[421].start 11504.306
transcript.whisperx[421].end 11533.346
transcript.whisperx[421].text 那到了2030年的925億度啦齁所以部長剛剛提到啦齁如果2026年需要的話2026年需要這個100億度的綠電是可以調度的出來的嗎?是的因為看來的話會超過600若是兩年後的話會超過600億度的綠電齁那需求量比較大的大概都這幾個比較大的國際廠商才有這樣的需求跟委員報告啦這個未來這個AI的使用齁使用到最大的極限的時候
transcript.whisperx[422].start 11534.346
transcript.whisperx[422].end 11559.425
transcript.whisperx[422].text 大概會在2030年以後的事情是那根據這個客人的這個需求最大最大的RDC他可能需要1G的電所以各位可以看到在海外很多的這個國際知名的大廠他會用很多的這個電但我們在台灣來講我們希望因為他們要的是綠電
transcript.whisperx[423].start 11561.752
transcript.whisperx[423].end 11580.991
transcript.whisperx[423].text 坦白講他們要的是綠電所以我現在在2030年之前我當然要把竭盡所能把綠電拉上來所以這個邀請部長這個大概接下來都是不管是半導體產業或者是一些AI的產業大概都需要大量電力需要綠電所以我想
transcript.whisperx[424].start 11581.451
transcript.whisperx[424].end 11597.98
transcript.whisperx[424].text 也要加快速度我也看了一下報告去年的2023年的資料光你現有的再生能源就有268億度就是說其實我認為綠電的部分這幾年努力都有一定的成果那也期待這個經濟部的團隊持續加油這個綠電絕對是一個
transcript.whisperx[425].start 11600.862
transcript.whisperx[425].end 11600.882
transcript.whisperx[425].text
transcript.whisperx[426].start 11628.673
transcript.whisperx[426].end 11653.271
transcript.whisperx[426].text 封立的部分我在這邊跟委員報告封立的前面的這個現在我們談這個3之1、3之2跟未來的3之3我想就簡單的在這後面的部分大家都關心3之1那你現在這個國產化要把它取消的話不是啊你只要講一下政策上一定會怎麼樣來調整來下跨城的速度政策既定的政策不會變
transcript.whisperx[427].start 11654.445
transcript.whisperx[427].end 11655.866
transcript.whisperx[427].text 光電的部分其實也遇到了爆發農電的部分
transcript.whisperx[428].start 11683.886
transcript.whisperx[428].end 11690.379
transcript.whisperx[428].text 部長有跟農業部溝通過嗎?有,我們都在溝通那農電的部分呢?農電的部分我們會先從這個農漁
transcript.whisperx[429].start 11692.867
transcript.whisperx[429].end 11697.671
transcript.whisperx[429].text 這個農業跟經濟的部分能夠取得一個好的一個平衡點那因為時間有限我接下來再問一下也是我很關切的大林普簽說問題
transcript.whisperx[430].start 11717.327
transcript.whisperx[430].end 11731.044
transcript.whisperx[430].text 部長,從林泉院長去鞠躬道歉,代表政府道歉已經8年,那大林埔從蘇院長核定也5年了,什麼時候可以來進行相關的這個登記的作業?報告委員我是不是可以請這個院管局局長?
transcript.whisperx[431].start 11733.926
transcript.whisperx[431].end 11743.191
transcript.whisperx[431].text 向委員報告,目前環評的部分已經跟環境部都取得共識,準備要做環評的公告說明。那等公告說明的部分進行的時候,我們就可以來研擬預登記的作業。
transcript.whisperx[432].start 11749.875
transcript.whisperx[432].end 11768.055
transcript.whisperx[432].text 市長我先請教一下啦齁,過去曾經有一個慘痛的例子,國道7號的環評走了14年,光二階環評的範疇界定走了23次,走了10年,導致第7國會中心啟用的國企還沒有開始來動工,這樣的慘痛的教訓我希望在這個大臨部簽證計畫裡面能夠趕快,環評多久時間可以來做出最後的決定?
transcript.whisperx[433].start 11772.499
transcript.whisperx[433].end 11773.4
transcript.whisperx[433].text 就按照環評的程序來進行
transcript.whisperx[434].start 11791.88
transcript.whisperx[434].end 11819.877
transcript.whisperx[434].text 加快好嗎?加快速度不要再拖了好嗎?好那再回到那個經濟部這邊好不好那其他的作業程序我知道都需要時間部長我知道都需要時間但是已經我講了八年從道歉到現在已經八年了這個連甚至修善後到底要不要修颱風後要不要修善很多的都猶豫啦什麼時候可以開始進行這個登記的程序不要環評走完然後督記走完之後這可能都是兩三年假設環評假設最快一年一年半
transcript.whisperx[435].start 11820.397
transcript.whisperx[435].end 11843.137
transcript.whisperx[435].text 那督記又在走那走完之後再來進行登記那恐怕這兩三年居民都必須在等待我們會來努力部長能夠趕在今年年底前的時候同步進行也就是說環評走環評的然後督記走督記的但是預登記的部分跟高雄市政府來溝通預先來做登記至少在區塊在要土地要
transcript.whisperx[436].start 11843.777
transcript.whisperx[436].end 11845.398
transcript.whisperx[436].text 我們可以朝這個方向努力
transcript.whisperx[437].start 11874.075
transcript.whisperx[437].end 11888.201
transcript.whisperx[437].text 我希望年底前能夠進行不要等到環評或者等到整個都計的程序走完這個恐怕都要一兩年以上的時間老百姓沒辦法等那麼久了年底前我希望能夠進行預登記的這樣程序
transcript.whisperx[438].start 11889.677
transcript.whisperx[438].end 11918.012
transcript.whisperx[438].text 部長可以嗎?我們來領略接下來我請教一下這個設宅的部分也遇到了一些問題當時的時候我們希望對於有些部分需要安置的部分能夠給予設宅的一個處理但是內政部好像有一些不同意見他希望不要破壞掉原來內政部的設宅的一些規定那能不能請如果真的遇到困難能不能請經濟部就做一個專案的方式做一個專案的方式針對於
transcript.whisperx[439].start 11919.393
transcript.whisperx[439].end 11933.067
transcript.whisperx[439].text 一般的6加3跟弱勢戶的12加3來做處理這個市長跟部長們在地方的會議上也都對鄉親說了能不能技術用專案的方式來再處理讓這個涉宰的案件能夠盡快來啟動
transcript.whisperx[440].start 11934.688
transcript.whisperx[440].end 11957.65
transcript.whisperx[440].text 我們來協商看看努力看看好不好盡量有朝這個方向這個我還是要請部長要跟院長跟副院長要做個報告一下這個案子恐怕不能再拖了那我希望涉宅競速的定案之後然後讓整個這個整個程序能夠盡快的做啟動因為你涉宅一定要定案了之後老百姓才
transcript.whisperx[441].start 11958.15
transcript.whisperx[441].end 11958.33
transcript.whisperx[441].text 請賴世保委員諮詢
transcript.whisperx[442].start 11989.762
transcript.whisperx[442].end 11993.853
transcript.whisperx[442].text 謝謝主席及各位聲勁.有請經濟部的郭部長請郭部長
transcript.whisperx[443].start 12001.943
transcript.whisperx[443].end 12002.223
transcript.whisperx[443].text 跟委員報告齁
transcript.whisperx[444].start 12032.383
transcript.whisperx[444].end 12052.57
transcript.whisperx[444].text 我會很快的回答就第一個我非常清楚這件事情如果是真的那麼他要進來會用這麼多的綠電他光是要成立這樣的一個機構相信一定要兩年以上這是第一個假設
transcript.whisperx[445].start 12053.834
transcript.whisperx[445].end 12080.828
transcript.whisperx[445].text 第二個根據我們現在綠電目前在進行的這個創電的這些案子我們非常清楚的到2026年我們會有550億度的綠電根據這兩個基本的狀況我很快的就可以回應他我記得感覺是你是這個企業
transcript.whisperx[446].start 12083.302
transcript.whisperx[446].end 12084.203
transcript.whisperx[446].text 難道委員你認為這個會有問題嗎我這樣的假設會有問題嗎
transcript.whisperx[447].start 12098.932
transcript.whisperx[447].end 12125.405
transcript.whisperx[447].text 你這個假設你要知道那其他的台積電怎麼辦呢你這個給他台積電也要其他也要還有其他台積電用多少電所有要用綠電的廠商我們都非常的清楚也都有聯絡所以台積電要多少的綠電台積電要多少的綠電台積電要用多少綠電台積電所用的電都是要綠電現在多少現在大概占我們的這個
transcript.whisperx[448].start 12129.394
transcript.whisperx[448].end 12132.935
transcript.whisperx[448].text 現在綠電幾乎全部給台積電了,不是嗎?台積電最大客戶啊!現在,如委員所指教的,是沒有錯
transcript.whisperx[449].start 12146.038
transcript.whisperx[449].end 12169.124
transcript.whisperx[449].text 大部分都是他他大概用我們的綠電現在七成以上七成以上啊有人講到九成呢七成是那個民間出去的部分其實台電手上還有一些綠電那個都還沒有出去啦那個量還有部長你昨天來這裡你提到一個數字我嚇一跳你說現在在這裡你也佔了16%這數字對不對啊
transcript.whisperx[450].start 12173.424
transcript.whisperx[450].end 12173.764
transcript.whisperx[450].text 10月22日當天的分母是台電系統的供應量
transcript.whisperx[451].start 12203.936
transcript.whisperx[451].end 12207.793
transcript.whisperx[451].text 但是當天的這個根據這個呢他的再生能源佔比是16%
transcript.whisperx[452].start 12209.312
transcript.whisperx[452].end 12235.463
transcript.whisperx[452].text 如果大家在討論的9.5%那它的分母是全國供應量我想這個是分母跟分子之間的關係也就是時間...大家笑不要都說你現在正式免費的16%我是奇怪我從來沒有看過這個數字怎麼會變16%勒阿你也不澄清一下然後來請教那個命題不一樣我是不是請我能源署跟你報告一下不要不要不要這個我時間有限來部長
transcript.whisperx[453].start 12237.461
transcript.whisperx[453].end 12240.164
transcript.whisperx[453].text 報告委員對於這個美國現在還在選舉在選舉的過程裡面我們
transcript.whisperx[454].start 12261.857
transcript.whisperx[454].end 12284.862
transcript.whisperx[454].text 不會來評論這樣的一個沒有評論你昨天在這裡已經講了啊你說你不接受不同意啊你不是這樣講嗎你當然要表態啊你是說他對他說我們偷了對我說我們偷了他但我們當然不同意啊好那我就告訴你川普在美國講的時候全美國上億的人口在看他這個數字你講的時候包括卓榮泰院長
transcript.whisperx[455].start 12286.184
transcript.whisperx[455].end 12288.066
transcript.whisperx[455].text 報告委員我們跟美國之間的關係是非常好我想這個你也非常清楚
transcript.whisperx[456].start 12310.546
transcript.whisperx[456].end 12335.501
transcript.whisperx[456].text 在選舉的時候選舉的人所講的話我們在這個時候選舉還沒有結束之前我們不應該針對這個問題去給予這個下一些定論這個是我們的看法不過你們在這裡講的是對啊你應該要強調向美國人強調我們沒有偷你的未來如果有人在講未來如果有人我們要看那個影響是什麼
transcript.whisperx[457].start 12336.806
transcript.whisperx[457].end 12339.987
transcript.whisperx[457].text 影響是什麼?如果影響到我們的市場的運作,那麼我們當然會出來這個努力啦齁,但是如果這只是一個,這若說笑齁,我也沒必要可以為了一個笑話,為了一個笑話。
transcript.whisperx[458].start 12356.154
transcript.whisperx[458].end 12361.399
transcript.whisperx[458].text 我馬上再給我一點點時間我馬上講完了那我們看到今天的另外一個題目SRFSRF都很清楚的看得到
transcript.whisperx[459].start 12381.004
transcript.whisperx[459].end 12387.504
transcript.whisperx[459].text 立方、可惠、可林惠、立江這三家公司他用發電廠的名利申請
transcript.whisperx[460].start 12389.394
transcript.whisperx[460].end 12408.725
transcript.whisperx[460].text 他沒有進到環保園區環保園區可以不做環評結果這三家要做環評他沒有做環評結果你們我看整個報告SRF發展度發展看其他國家其他國家你要燒木材你這個燒有會產生大躍興的這個塑膠什麼對環保產生很大的影響就這個情況結果我們再看一下
transcript.whisperx[461].start 12417.735
transcript.whisperx[461].end 12438.105
transcript.whisperx[461].text 結果,原來你都說不准,政府參議員說不准,後來呢,美國介入了,你們就推薦了。好了,我的重點在這裡,彰化縣,養寶實業後製桃園的牧師,也做SRF,也不經過環評。所以我就是問你一件事情,特別是環境部的掌櫃在這裡。
transcript.whisperx[462].start 12439.786
transcript.whisperx[462].end 12467.075
transcript.whisperx[462].text 這些廠不管做什麼的SRF要不要做環評?要不要?跟委員報告桃園那三家廠是在桃科工裡面他本身有個總量環評是要符合進廠的標準沒有沒有他沒有進環保園區進環保園區才不需要做環評桃科工本身是有環評跟委員報告桃科工本身有一個總的環評所以只要進這個廠符合入園的標準長襪為什麼可以不做環評就要不要做環評?
transcript.whisperx[463].start 12468.547
transcript.whisperx[463].end 12486.919
transcript.whisperx[463].text 我跟委員報告,SRF廠要不要做環評,要依照它的區位規模來判定,都要符合。那需要環評的就一定要環評,免環評就不用環評,但是環保相關法規都必須要遵守。那郭副長,我就是再問你一次,有關於SRF這個的一個申請,你們現在變成是鼓勵喔?
transcript.whisperx[464].start 12493.615
transcript.whisperx[464].end 12503.984
transcript.whisperx[464].text 我們這個SRF是這個國際的一個趨勢我們沒有什麼鼓勵所以一定要通過這個環境部的這個要求我們根據這個法令的這個規範來進行我就是跟你強調他們要做這些東西對環境可能產生很大影響的SRF要做環評OK就這個我的要求是謝謝
transcript.whisperx[465].start 12527.932
transcript.whisperx[465].end 12544.461
transcript.whisperx[465].text 我們中午不休息,延長開會時間。請舒巧惠委員質詢。好,謝謝主席。我們請郭部長。請郭部長。
transcript.whisperx[466].start 12554.437
transcript.whisperx[466].end 12580.325
transcript.whisperx[466].text 委員好部長好部長我想您看到我的投影片的標題轉肺為能步步前進SRF不該被汙名化我想我今天就用我短短的幾分鐘來跟您討論SRF的這個部分那我想再請您在備詢台上再次的說明經濟部對SRF的態度到底是什麼是肯定還是否定那它的定位是什麼可不可以解答
transcript.whisperx[467].start 12583.69
transcript.whisperx[467].end 12594.887
transcript.whisperx[467].text 經濟部肯定還是否定我們當然是他是一個趨勢啦所以我們對SRF是這樣的一個他是要符合環境部的需求環境部的檢驗
transcript.whisperx[468].start 12596.411
transcript.whisperx[468].end 12614.89
transcript.whisperx[468].text 他通過了我們當然是肯定的因為他是減碳的一部分是啊所以其實這就是一個新的技術這個新的技術可以達到的是我們在產生能源的時候是一個減碳的能源是一個多元創造能源的方式同時還可以去化廢棄物
transcript.whisperx[469].start 12615.791
transcript.whisperx[469].end 12643.678
transcript.whisperx[469].text 所以理論上這個新技術當然是好的啊但是這個新技術當然也有它的過程過程當中如果有產生問題的我們就應該加強管理嘛這是兩個層次的問題很清楚本席在討論SRF的部分是因為上一屆我就是在未還委員會我因為新北的廢棄物問題非常非常的嚴重所以有幸在未還委員會看到了環境部能夠
transcript.whisperx[470].start 12644.998
transcript.whisperx[470].end 12662.008
transcript.whisperx[470].text 根據國際潮流我們台灣開始引進這樣子的新技術好那可是我們很遺憾看到這段時間以來不但是地方政府對SRF的這個電廠沒有協助之餘甚至是直接跳到就是撤銷執照完全不討論中間的癥結問題甚至是部長
transcript.whisperx[471].start 12667.031
transcript.whisperx[471].end 12687.266
transcript.whisperx[471].text 您剛剛說肯定可是我要看到你上一週喔上一週經濟部正式預告了再生能源發展條例部分條文的修正草案其實也把這個SRF納入獎勵的範圍這個部分給拿掉了那兩件事情加在一起難道你剛剛說的肯定
transcript.whisperx[472].start 12688.524
transcript.whisperx[472].end 12710.704
transcript.whisperx[472].text 是是是怎麼樣是事實上你態度肯定但是實際作為既沒有協助也又把這個獎勵部分拿掉難道你其實實際作為是否定嗎他是轉換到另外一個獎勵條例去轉換有轉換嗎有同時轉換到嗎這就是我今天要跟您討論的部分不然因為我時間有限所以我想跟您確認一下在這裡
transcript.whisperx[473].start 12711.765
transcript.whisperx[473].end 12720.374
transcript.whisperx[473].text 國內的SRF仍有爭議最大的原因其實就是這兩個嘛一個是法規未完備另外一個是規範未落實這是兩個層次嘛對不對其實法規的部分環境部我相信已經開始在討論了那我們來看一下現在的狀況第一個是現在的狀況是書面審查沒有實地會刊
transcript.whisperx[474].start 12732.546
transcript.whisperx[474].end 12752.018
transcript.whisperx[474].text 所以不需要業者很多啊好再來第二個業者現有業者的技術設備不足所以他的垃圾沒有經過合格的分選問題是在這裡啊不是SRF的技術不好是這個技術燃燒的東西裡面你沒有把它經過合格的分選嘛然後第三
transcript.whisperx[475].start 12752.398
transcript.whisperx[475].end 12752.498
transcript.whisperx[475].text 第二.
transcript.whisperx[476].start 12776.141
transcript.whisperx[476].end 12787.627
transcript.whisperx[476].text 我們要設立第三方單位負責SRF的品質控管及認證工作第三規範SRF的業者應該要具備空氣污染防治的設備且戴奧星的標準要比照焚化爐以真正達成Buffet轉能這樣的部分
transcript.whisperx[477].start 12796.111
transcript.whisperx[477].end 12817.323
transcript.whisperx[477].text 這是我剛剛說的第一個法規制定以及要落實法規的部分不曉得今天是部長在這裡後面環境部次長也在這裡嘛那你對於這我提出的三個建議不曉得您認為態度如何跟委員報告我的態度就是把委員所指教的這部分帶回去趕快研究
transcript.whisperx[478].start 12818.303
transcript.whisperx[478].end 12823.61
transcript.whisperx[478].text 然後跟這個環境部我們充分的討論其實這個部分應該是環境部不然次長這邊我覺得這三項是非常實際的狀況這直接應該要成為法規其實就解套了一大半我們在今年6月到9月已經完成了全面的體檢
transcript.whisperx[479].start 12836.427
transcript.whisperx[479].end 12856.852
transcript.whisperx[479].text 所以會有一部新的法規來把這三項全部都納入是嗎?年底會有管理辦法,正適用辦法是,已經在公告預告當中了那我們的那個排放標準也加嚴檢測頻率也提升所以SRF的管理方式要加嚴嗎?這才是第一層次的速度嗎?那是對於運作中的所有SRF廠
transcript.whisperx[480].start 12857.532
transcript.whisperx[480].end 12879.792
transcript.whisperx[480].text 是委員您剛提到桃園那三家是未來要興建的那當然也要符合我們現在所有的標準那當然啊因為它還沒有設置起來嘛所以當然我們的法規如果跑快一點它當然要依照新法規嘛所以這是我認為第一個環境部標準應該要設立的部分但是第二個那個郭部長我還是在跟您您剛剛提到了我想藉著時間還是請您把剛剛這個說清楚我認為
transcript.whisperx[481].start 12883.115
transcript.whisperx[481].end 12901.648
transcript.whisperx[481].text 即便你要把他從SRF從再生能源發展條例的獎勵辦法中拿走可是這是一個好的做法我們還是要鼓勵這個新技術來所以部長其他的獎勵辦法是什麼請您說明拿掉的部分是非綠的部分就是我們讓他走這個7天共生的獎勵
transcript.whisperx[482].start 12904.064
transcript.whisperx[482].end 12918.264
transcript.whisperx[482].text 所以還是有相關的鼓勵這個轉廢為能的這個部分嘛對不對是的好那最後我也是提醒一下藉這個機會提醒一下您的這個預告版本裡面第一條其實你在定義什麼是再生能源的時候
transcript.whisperx[483].start 12919.365
transcript.whisperx[483].end 12937.245
transcript.whisperx[483].text 還是有把燃燒廢棄物的部分是放在定義裡面但是又增加了第11項這個燃燒這個SRF的這個器具又不算是電氣發展設備這兩個部分似乎看起來是有矛盾的部分啦也請那個能源局這邊可以再看一下是是謝謝委員指教好謝謝部長
transcript.whisperx[484].start 12946.445
transcript.whisperx[484].end 12965.763
transcript.whisperx[484].text 好,我們接下來我們請鍾嘉斌委員、鍾嘉斌委員、鍾嘉斌委員不在場。好,我們接下來請李毅林委員、李釗緯執行。謝謝主席。請郭部長。請部長、郭部長。
transcript.whisperx[485].start 12973.868
transcript.whisperx[485].end 13000.937
transcript.whisperx[485].text 委員好部長因應我們全球的供應鏈的改組跟國際局勢的變動所以我們鼓勵著臺商能夠回流到臺灣來加強投資所以我們的政府也在2019年他用三大的投資方案來吸引臺商來回臺投資還有跟流臺灣最重要的還要再讓我們中小企業能夠加速投資在這個三大方案裡面現在已經
transcript.whisperx[486].start 13002.137
transcript.whisperx[486].end 13012.069
transcript.whisperx[486].text 電掉了沒有?因為我看到你們又在延長到2027年是的,我們有延長那你延長有沒有做修正的調整?這個計畫還沒出來嗎?我們按照原來的這個計畫繼續再實施原來的計畫,但是你們現在
transcript.whisperx[487].start 13022.165
transcript.whisperx[487].end 13022.285
transcript.whisperx[487].text 是的
transcript.whisperx[488].start 13052.438
transcript.whisperx[488].end 13053.238
transcript.whisperx[488].text 目前來看我們的計畫來看是不會
transcript.whisperx[489].start 13078.834
transcript.whisperx[489].end 13091.401
transcript.whisperx[489].text 因為部長本席會這麼問就是因為到現在我們合訂的1559家的投資案到現在年底還有632件還沒有完成投資這些你都有沒有協助我們現在這個所有的這個投資都有主案在進行你完成了只有927件還有632件沒有完成這些沒有完成你還要再擴大
transcript.whisperx[490].start 13108.615
transcript.whisperx[490].end 13116
transcript.whisperx[490].text 那你怎麼協助他們呢?投資師沒有來投資呢?我是不是請他來跟你報告一下?
transcript.whisperx[491].start 13119.562
transcript.whisperx[491].end 13148.29
transcript.whisperx[491].text 跟委員報告那這個到去年年底的話事實上是我們95%都有按計畫完成但是因為是有一部分是因為那個疫情的關係還有我們缺工缺料啦引物料大漲這些問題還有沒有別的問題就講是那個還有一部分是因為所以本期要提醒你們就是說核定了這麼多你還完成了927未完成還有632這些你們都要了解原因有什麼困難需要協助的你們要去協助好不好
transcript.whisperx[492].start 13148.77
transcript.whisperx[492].end 13172.15
transcript.whisperx[492].text 那再來就是企業投資的話最重要還有水電的問題嘛他廠房的設計的問題嘛這些也都是問題所以在水電的問題上我們看到我們2030年我們台電也特別講到說我們的綠電啊要發電量要到30%對不對那但是我看到你們下修的資料要到24.7%是不是這樣子台電部長你知道嗎他們已經下修了
transcript.whisperx[493].start 13178.923
transcript.whisperx[493].end 13194.374
transcript.whisperx[493].text 您說我們的綠電下修對說2030年要完成的部分應該沒有吧24.74你們給我的數字我是不是請台電來拿能源數一下
transcript.whisperx[494].start 13195.652
transcript.whisperx[494].end 13195.772
transcript.whisperx[494].text 邀請經濟部部長
transcript.whisperx[495].start 13212.729
transcript.whisperx[495].end 13232.707
transcript.whisperx[495].text 我們的綠電不可能要做基載的能源對不對那現在太陽能的發電就變成是個主力了綠電的主力了它能占有這個再生能源是48%你認為在我們天氣、氣候不佳的情況之下像這颱風到11月還是這個情形的話那我們的發電量會減少那綠電的話你認為2030年就會達成嗎因為有受氣候的影響啊
transcript.whisperx[496].start 13240.17
transcript.whisperx[496].end 13263.807
transcript.whisperx[496].text 這個本來就是在考慮的因素之內啦就是說它之所以不能夠作為基載有它的限制在所以太陽能的所以就必須要調整嘛現在目前就是太陽能啊對啊 報告委員我們這些都是滾動式的這個在調整就是說我們還是與時俱進所以那個是我們的目標但是實際上我們一定要
transcript.whisperx[497].start 13265.348
transcript.whisperx[497].end 13282.795
transcript.whisperx[497].text 基於實際的狀況我們來努力我們希望你們都能打出來也不是部長說的16%我現在早上大家都在問你這個16%的問題這個是當天你有16%但是每個委員問你就是你平均值是打多少目前都是8到10而已啦
transcript.whisperx[498].start 13283.055
transcript.whisperx[498].end 13293.217
transcript.whisperx[498].text 了不起到12%而已所以我們希望2030年你們的目標30%你們就要達成那現在我們最關心的就是臺電因為降低這個停電的事故也在2022、2023年要強韌電網跟我們的配電升級的計畫都在努力在做但是我們看到你們這個供電穩定事故的計畫裡面2021年到2022年到2023年你看到
transcript.whisperx[499].start 13313.163
transcript.whisperx[499].end 13335.837
transcript.whisperx[499].text 臺電你的歸咎你的責任部分是最高的2021年的話你的責任是40.9%你的2022年是422023年是又再提高到46.5%這都是你的責任你說強振電網在做配電升級也在做為什麼你們的臺電發生的這個這個責任歸屬的地方還是一直在提高呢
transcript.whisperx[500].start 13336.767
transcript.whisperx[500].end 13339.09
transcript.whisperx[500].text 已經每年都在做了,要減少你們台電發生問題啊?
transcript.whisperx[501].start 13355.871
transcript.whisperx[501].end 13374.264
transcript.whisperx[501].text 對你們責任一直在提高是都是因為你們的責任才發生在停電的問題這個就是因為隨著時間所以那個設備每一年都會增加這個老的這個狀態每一年都在開放應該不好了這個發生在停電問題會減少啊是我們給你的計畫是10年計畫強振電網跟配電的提升
transcript.whisperx[502].start 13379.091
transcript.whisperx[502].end 13379.492
transcript.whisperx[502].text 報告委員報告委員
transcript.whisperx[503].start 13401.613
transcript.whisperx[503].end 13401.813
transcript.whisperx[503].text 司法部長
transcript.whisperx[504].start 13424.206
transcript.whisperx[504].end 13444.578
transcript.whisperx[504].text 桃園已經有5家在做SRF的這個發電現在又核准了這3家剛剛我們省次長也提到說在整個工業區的總量的環評的空屋的部分他是可以不用做環評但是你不要忘了空屋的問題
transcript.whisperx[505].start 13447.267
transcript.whisperx[505].end 13463.327
transcript.whisperx[505].text 的問題是隨著風向一直在飄離開他的園區的所以你怎麼去測試那本席要告訴你就是桃園市政府已經撤銷了他們入園許可現在第二次撤銷我們也希望部長你把
transcript.whisperx[506].start 13463.948
transcript.whisperx[506].end 13487.27
transcript.whisperx[506].text 民眾的聲音聽進去不要強行讓他們入園因為我們希望的話就是我們環境部跟我們經濟部一定要了解你們重演的條件跟規範目前來講的話這個SRF它的來源有製造廠跟空污規範的這個要做一個
transcript.whisperx[507].start 13488.231
transcript.whisperx[507].end 13497.581
transcript.whisperx[507].text 通盤的整理的規劃裡面尤其是我們目前的鍋爐空污空氣污染的這個物的這個排放照
transcript.whisperx[508].start 13498.476
transcript.whisperx[508].end 13517.195
transcript.whisperx[508].text 目前來講有兩種就是力壯的空污物歐盟的標準每立方公尺是10毫克環境部的話目前的標準每立方公尺是30毫克如果說是氮氧化物歐盟的標準是73ppm環境部的標準是100ppm
transcript.whisperx[509].start 13518.876
transcript.whisperx[509].end 13541.937
transcript.whisperx[509].text 這就是環境部放鬆的地方所以請你們要比照歐盟國家一定要重演你的重演標準年底要出來但是本席再次提醒目前你的標準是這樣子對於這鍋爐空氣污染物的這個排放的標準現在在這邊所以現在請你照我們環境部
transcript.whisperx[510].start 13542.858
transcript.whisperx[510].end 13543.138
transcript.whisperx[510].text 所以我們請
transcript.whisperx[511].start 13557.125
transcript.whisperx[511].end 13557.145
transcript.whisperx[511].text 國務院議員
transcript.whisperx[512].start 13587.485
transcript.whisperx[512].end 13588.245
transcript.whisperx[512].text 接下來請黃國昌總召來發言
transcript.whisperx[513].start 13621.086
transcript.whisperx[513].end 13648.906
transcript.whisperx[513].text 謝謝主席,是不是可以麻煩有請部長還有台堂的總經理請總經理委員好兩位好部長延續上一次資訊的主題針對有關於我們在再生能源的發展上我們是大力支持
transcript.whisperx[514].start 13650.017
transcript.whisperx[514].end 13652.19
transcript.whisperx[514].text 但有個重點我們的政府
transcript.whisperx[515].start 13653.53
transcript.whisperx[515].end 13682.115
transcript.whisperx[515].text 不能只會淪為喊口號要實際的藉機理局的去做啦!2025年20%已經確定跳票了你們陸陸續續又把發展的路徑給呈現出來了上一次質詢部長的時候請教部長的是發展的路徑那部長說不是線性關係也不是函數關係跟裝置容量是有關係的上次您答的是這樣那我請您把你們評估的基礎資料
transcript.whisperx[516].start 13685.207
transcript.whisperx[516].end 13707.613
transcript.whisperx[516].text 當時的主席也是我們今天的呂昭偉說一個禮拜之內要答覆我到目前還沒收到還要拖多久?還要拖多久?你只要給我一個時間我後面還有其他的主題因為我覺得很遺憾我們在委員會質詢要的資料昭偉也裁釋了經濟部不給就不給
transcript.whisperx[517].start 13710.963
transcript.whisperx[517].end 13734.208
transcript.whisperx[517].text 我需要利用質詢的時間苦苦哀求嗎?請你們提供基礎資料有這麼困難嗎?只是我們這一兩個禮拜你也非常清楚我們有很多的事情在準備那沒有關係啊你有困難就跟趙偉講不要才是一個禮拜啊趙偉的才是假的嗎?還需要多久?還需要多久?
transcript.whisperx[518].start 13737.97
transcript.whisperx[518].end 13765.049
transcript.whisperx[518].text 只要給我一個時間不要浪費質詢時間在講這種我要利用質詢的時間來要資料還需要多久我們會部內裡面馬上討論這個問題再一個禮拜好我不好好可以好下個問題齁我基本上齁要問的事情是說在你們目前的評估當中有一個非常重要的政策議題農電共生還要不要再做要
transcript.whisperx[519].start 13765.785
transcript.whisperx[519].end 13789.042
transcript.whisperx[519].text 要再做嘛我跟部長回顧一下可能你從企業界來啊之前這個臭不可聞的農電共生到底發生什麼事情啊可能你不是很清楚來看一下這個是2018年的時候在我們的行政院一樓內廂會議室舉行的會議當時是由張景生政委所主持找來一堆
transcript.whisperx[520].start 13790.463
transcript.whisperx[520].end 13811.243
transcript.whisperx[520].text 綠能的業者其中有一個其中有一個他的兄弟是潘孟安的愛將叫做呂正燕目前這位先生他已經逃跑了他因為掏空案現在被通緝了這個是法務部調查局的通緝系統人已經跑了人已經跑了
transcript.whisperx[521].start 13812.216
transcript.whisperx[521].end 13837.105
transcript.whisperx[521].text 那找了一堆不肖的業者到我們的行政院開這種農電共生的會議在討論什麼事我再繼續代部長看要求什麼臺塘市出750公頃的農地安排廠商跟潘孟安見面我先請教一個問題目前我們農電共生的政策還會不會要求臺塘市出農地
transcript.whisperx[522].start 13841.553
transcript.whisperx[522].end 13849.77
transcript.whisperx[522].text 我們在政策上面我想是持續的啦如果說會還是不會會嘛我現在要了解一下你現在來請一下台堂總經理
transcript.whisperx[523].start 13852.393
transcript.whisperx[523].end 13872.321
transcript.whisperx[523].text 當初這一段因為我知道你是去年才升總經理的嘛是是是當初這一段你有沒有參與報委我沒有參與你沒有參與嗎跟委員報告我們目前也沒有接到任何說要我們釋出農地然後要做農電共生的這個指示到目前為止沒有嗎是是是我要拜託台堂喔是
transcript.whisperx[524].start 13874.666
transcript.whisperx[524].end 13894.946
transcript.whisperx[524].text 紮產、光電、配合國家政策我基本上是不反對但不能胡搞瞎搞連台塘重要的林地都跑去做規劃當初2018年在開始這樣胡搞瞎搞的時候要求台塘兩個月內要提出銀龍型專區計畫書這個都有會議記錄
transcript.whisperx[525].start 13899.008
transcript.whisperx[525].end 13924.404
transcript.whisperx[525].text 全部都是行政院的高官帶著廠商在行政院開黑箱會議建於我們台堂的土地到目前為止你沒有介紹這樣的指示是嗎?是那跟委員報告就是說之前的這個銀龍型專區的這個計畫我們已經停止推動目前已經停止為什麼停止推動?因為我們就是據我了解就是說之前有在
transcript.whisperx[526].start 13925.1
transcript.whisperx[526].end 13936.729
transcript.whisperx[526].text 地方召開說明會那因為地方的一個民意沒有支持所以我們就沒有再推動臺龐喔是守住立場是是好來再繼續請部長延續著啦從行政院開始找一些阿薩布魯的廠商來開命令會議接下來再看齁這個飯局我問過狗明星他承認了
transcript.whisperx[527].start 13954.105
transcript.whisperx[527].end 13972.771
transcript.whisperx[527].text 紅船線聯合再生我們的國發基金跟我們的耀華玻璃投了30億下去前面投資錢虧損了100多億大家都在問國發基金我們國發基金什麼時候變成紓困基金結果他說這個是綠能國家對未來會賺錢結果我們國發基金投進去以後現在又虧了100多億
transcript.whisperx[528].start 13981.673
transcript.whisperx[528].end 14010.111
transcript.whisperx[528].text 但這不關經濟部的事情關經濟部的是什麼事情胡搞瞎搞經濟部張斌工業區地給了聯合再生結果他搞什麼事情啊綠能國家隊馬上違約出售套利2.63億這件事情我從去年開始追結果呢我追的時候我說什麼
transcript.whisperx[529].start 14011.512
transcript.whisperx[529].end 14032.117
transcript.whisperx[529].text 說聯合再生用特別股創造虛偽的假象說他沒有移轉結果經濟部這也跟你沒關係前一任部長發新聞稿罵我說他否認啦寫新聞稿幫聯合再生護航遮醜來我們繼續往下看今年夏天我們的監察院終於醒來了
transcript.whisperx[530].start 14033.21
transcript.whisperx[530].end 14053.1
transcript.whisperx[530].text 監察院糾正的內容啊就是我去年下就是我去年開始揭發的內容我一路追追到今年夏天監察院終於說我講的沒有錯那現在關鍵來了聯合再生這樣胡搞瞎搞經濟部、昌濱工業區的地要不要收回來
transcript.whisperx[531].start 14056.224
transcript.whisperx[531].end 14072.067
transcript.whisperx[531].text 報告委員,我經濟部的態度就是依法處理了。對啊!現在檢察院都糾正啊!違約事實明確啊!那依法處理地要回來啊!法上,法律如果規定地要回來,我們就會把地要回來。
transcript.whisperx[532].start 14073.356
transcript.whisperx[532].end 14074.457
transcript.whisperx[532].text 需要多久回覆?
transcript.whisperx[533].start 14095.407
transcript.whisperx[533].end 14119.261
transcript.whisperx[533].text 不要再寫齁幫忙遮醜包庇的新聞稿啦我看不下去啦要不要終止租約基金部的立場是什麼一個禮拜之內書面回覆可以嗎我們要一個月要一個月好我給你一個月的時間這件事情知事提到這種不孝的躺倉政府該有的作為拿出魄力來好謝謝
transcript.whisperx[534].start 14126.977
transcript.whisperx[534].end 14144.499
transcript.whisperx[534].text 我們請工作同仁發便當給大家吃因為我們中午不休息了請羅志強委員質詢主席有請部長請郭部長
transcript.whisperx[535].start 14154.147
transcript.whisperx[535].end 14177.824
transcript.whisperx[535].text 委員好部長好請問你去過桃園的觀音區嗎?沒有當然也不可能直接跟桃園的觀音區的民眾有實際的交流嗎?業務上都沒有都沒有了我事實上我在桃園觀音區的馬路邊睡了兩天睡了兩個晚上你知道為什麼嗎?
transcript.whisperx[536].start 14179.431
transcript.whisperx[536].end 14202.324
transcript.whisperx[536].text 不清楚因為那時候我們的民進黨政府答應觀音人說藻礁要永存結果後來睡了兩天也沒用我是陪著觀音的民眾想要來守護藻礁最後一樣照樣開發了那另外我也去了觀音好幾趟
transcript.whisperx[537].start 14203.39
transcript.whisperx[537].end 14227.217
transcript.whisperx[537].text 那再次去觀音我想部長就猜得到就跟今天的主題有關是什麼原因去觀音猜得到吧就是SRF的設廠你知道觀音人的態度是什麼嗎你知道嗎因為我沒有觀音人的朋友所以我不太清楚我告訴你觀音的朋友覺得真的很悲情
transcript.whisperx[538].start 14228.696
transcript.whisperx[538].end 14248.284
transcript.whisperx[538].text 實際上以過去的選舉分析來講在觀音區其實向來民進黨的得票都非常的高可是觀音的人現在是很不能理解為什麼今天珍貴的藻礁那要觀音人珍視的藻礁被破壞
transcript.whisperx[539].start 14249.403
transcript.whisperx[539].end 14266.838
transcript.whisperx[539].text 然後呢現在又把三家SRF的這個發電廠要放到觀音去其實觀音的人很不能理解我聽了很多觀音的朋友因為我實際到觀音去了很多次那我這個心聲顯然我覺得我們政府沒有聽進去但沒關係
transcript.whisperx[540].start 14269.218
transcript.whisperx[540].end 14280.27
transcript.whisperx[540].text 事實上桃園有這三家SRF的廠商進駐那桃園市政府其實跟地方居民多次向經濟部表達反對
transcript.whisperx[541].start 14283.14
transcript.whisperx[541].end 14310.873
transcript.whisperx[541].text 我記得在總質詢的時候那時候部長您曾經說了一段話說這個主導權跟決定權在桃園市政府部長你還認為主導權跟決定權在桃園市政府嗎是的還是喔當然那實質上桃園市政府已經兩次撤銷三家廠商的那個路源許可我直接說啦這不就是標準的兩手策略嗎
transcript.whisperx[542].start 14312.434
transcript.whisperx[542].end 14328.91
transcript.whisperx[542].text 經濟部一方面說尊重地方主管機關的決定.結果也要尊重溯源會的決定.而溯源結果推翻了桃園市政府的決定.我想請問部長.你到現在還真的認為SRF設不設.是桃園市政府說的算嗎?
transcript.whisperx[543].start 14331.784
transcript.whisperx[543].end 14357.503
transcript.whisperx[543].text 這個規定就是這個樣子阿規定阿實際上他們說他們不設欸今天舉個例子齁我今天就中午想吃排骨飯對不對然後呢最後呢你今天一個手抓過來把排骨抓走就放一個空落在裡面然後你跟我講說你可以決定吃排骨飯阿蘇院會不就這樣阿他駁了今天桃園市政府的阿報告委員蘇院會不是經濟部
transcript.whisperx[544].start 14358.939
transcript.whisperx[544].end 14374.917
transcript.whisperx[544].text 我要講的是溯源會駁但是你卻說主導權在桃園市政府我不是說溯源會是經濟部我說是溯源會駁掉這個事桃園市政府還如你邏輯上所說的能夠主導跟決定這件事嗎那就是
transcript.whisperx[545].start 14376.721
transcript.whisperx[545].end 14379.665
transcript.whisperx[545].text 當初SRF之所以能設廠你知道最關鍵的文件是什麼鄭總不會不知道吧
transcript.whisperx[546].start 14394.454
transcript.whisperx[546].end 14408.112
transcript.whisperx[546].text 最關鍵的文件經濟部的推薦函是沒有法律的經濟部在這邊不負責任到說我的推薦函沒有法律效益那你發什麼推薦函?那你發什麼推薦函阿?
transcript.whisperx[547].start 14411.803
transcript.whisperx[547].end 14430.755
transcript.whisperx[547].text 你多此一舉嘛那不一定啊推薦函來來來部長部長今天齁今天有個廠商一個詐欺集團他跟你講說叫你要發推薦函你可不可以說發了推薦函跟你沒關係你可以跟我講發了推薦函跟你沒關係嗎
transcript.whisperx[548].start 14432.895
transcript.whisperx[548].end 14456.138
transcript.whisperx[548].text 推薦函跟推薦的單位當然是有關係嘛謝謝你啊有關係啊這個上面沒有法律的這個依據嘛今天你用中央政府壓地方政府現在事後推沒有法律沒關係我跟你講這一點觀音區的民眾已經可以公判了你從人民的角度當初看的就是經濟部的推薦函你現在跟我講推薦函沒有效率就是所謂的誤會一場
transcript.whisperx[549].start 14457.739
transcript.whisperx[549].end 14481.239
transcript.whisperx[549].text 你這個說法你能夠說服觀音區的民眾的話那我告訴你我正義建議部長啦你就去那邊睡個兩個晚上你看看觀音的人會不會接受你這個說法我可以了解但是委員SRF的發電廠反正你發推薦函你推薦函沒有法律效力發推薦函不關你的事就這麼簡單我非常的尊敬你
transcript.whisperx[550].start 14481.499
transcript.whisperx[550].end 14499.829
transcript.whisperx[550].text SRF我不需要您的尊敬我只需要您去心衡觀音區的民眾我必須要依法行事嘛法、理、情你講的都非常有道理來請問你經濟部發推薦還是根據哪一個法律法律的規定你可以發推薦函的經濟部根據哪一個法律發推薦函的政策表述推薦嘛哪一個法律啊講給我聽啊法律名稱
transcript.whisperx[551].start 14507.881
transcript.whisperx[551].end 14520.523
transcript.whisperx[551].text 我們不是依哪一個法律嗎?謝謝你口口聲聲依法行政連發推薦還法律就說不出來我告訴你依今天經濟部高興行政啦謝謝你啦謝謝你部長你可能不知道經濟部有開專案會議有開專案會議這個是官方的專案會議並不是只有推薦案好謝謝
transcript.whisperx[552].start 14539.328
transcript.whisperx[552].end 14563.492
transcript.whisperx[552].text 請蔡議委員質詢。謝謝主席。那我們是不是有請我們經濟部部長。請郭部長。跟台電董事長。請曾董事長。委員好。部長好。
transcript.whisperx[553].start 14564.788
transcript.whisperx[553].end 14586.598
transcript.whisperx[553].text 部長我昨天事實上在這個院會的時候我有質詢過這個針對現在台電的一個虧損的狀態那我們當然是期待特別預算可以獲得那朝野的共識一起來來審這個特別預算然後給台電可以有這樣的一個裁員的一個挹注但相對的如果
transcript.whisperx[554].start 14588.288
transcript.whisperx[554].end 14590.509
transcript.whisperx[554].text 我們大概這樣子啦,就是就一個企業來講的話
transcript.whisperx[555].start 14614.144
transcript.whisperx[555].end 14641.092
transcript.whisperx[555].text 那他就是應該要將本不要說求利啦因為這個是國營的事業就是不虧錢來經營這個公司啊應該是這個努力的方向那我們在沒有收到這個兩千億來彌補我現在財務上面的問題的話我們要想辦法這個從就像昨天委員所指導的也許
transcript.whisperx[556].start 14641.832
transcript.whisperx[556].end 14670.327
transcript.whisperx[556].text 我們可以從利息上面去調整可以借到更便宜的利息第二個可能就是我們台電的同仁這個薪水稍微大家努力一下我看是比較不要這樣啦中金的部分可以稍微降一下但是這個又不是我們願意的嘛這個動到台電同仁的福利我覺得不好我的意思就是說一般企業經營大概都是會這樣
transcript.whisperx[557].start 14671.127
transcript.whisperx[557].end 14681.419
transcript.whisperx[557].text 但是我們國營不會這樣我們不會去動到員工的這個薪酬所以部長所以部長我想如果真的出現了說這個2000億沒辦法被預注的時候
transcript.whisperx[558].start 14684.52
transcript.whisperx[558].end 14701.945
transcript.whisperx[558].text 也許就得思考其他方案,那這其他方案可以再來研究啦。但是我要講的就是說,因為台電公司我早就講,它是扮演著物價的防波堤。那物價的防波堤一定都動在一雙。
transcript.whisperx[559].start 14703.846
transcript.whisperx[559].end 14720.668
transcript.whisperx[559].text 過去解釋因為都擋在第一線所以如果遇到產業的寒冬的時候台電負擔這個電價的損失如果遇到物價要上漲的時候我們民生用電的部分動漲然後也是穩住物價的一環所以台電公司扮演的角色很重要
transcript.whisperx[560].start 14721.149
transcript.whisperx[560].end 14741.984
transcript.whisperx[560].text 那未來以部長你的規劃.你想像中未來.很多責任不應該再完全讓臺電去扛在第一線.所以部長你這個說法起來.是不是很多時候變得說我們中央政府.定義的行政院我們自己整體都要扛在第一線的是,我們會請其他的單位來幫忙.
transcript.whisperx[561].start 14745.267
transcript.whisperx[561].end 14760.5
transcript.whisperx[561].text 讓這個來協助啦就大家一起來協助嘛就是說過去有可能一些對農漁業、對於弱食團體、社福團體的補助那這部分由他們自己來編列預算那台電就少了這部分的一個支出這對台電來說也是一個減少負擔那我現在再講一個啦這個跟產業有關因為我們這一次為了漲電價漲了這個12.5%
transcript.whisperx[562].start 14770.709
transcript.whisperx[562].end 14785.854
transcript.whisperx[562].text 那我們為了要考慮到產業消退的一個狀態所以我們用113年上半年度用電衰退他的產業有衰退15%作為一個基準點15%以上的我們就減半15%位級15%的調幅
transcript.whisperx[563].start 14791.656
transcript.whisperx[563].end 14804.383
transcript.whisperx[563].text 有所謂的一個摔退15%以上的就凍漲那如果在這個5%跟15%之間那就是減半但是部長我後來接受到了好多產業跟我反應
transcript.whisperx[564].start 14806.104
transcript.whisperx[564].end 14814.747
transcript.whisperx[564].text 他說你用113年用電衰退然後他的產業的銷售額衰退我們都只用113年這樣產生一個問題喔問題就是說有一些產業比方我上次質詢的時候的鋼鐵業
transcript.whisperx[565].start 14821.534
transcript.whisperx[565].end 14837.959
transcript.whisperx[565].text 鋼鐵最傳統的反甩它是從大概在烏二戰爭的時候差不多在兩年前它就衰退了所以它就已經盪到了谷底所以它到了113年上半年度的時候它根本沒有辦法用它的谷底啊
transcript.whisperx[566].start 14839.499
transcript.whisperx[566].end 14865.23
transcript.whisperx[566].text 他就是這麼慘了他也不可能再慘個15%給你看啊所以相對起來你說他是一個他是用電他算是大戶所以用電是他很大的成本可是他產業衰退是在兩年前從戰爭的時候就已經衰退到谷體了所以看起來我們這樣的一個制度勒沒有辦法充實反應現在很多傳統產業他們因為用電然後成本上升他們所面對的壓力
transcript.whisperx[567].start 14866.591
transcript.whisperx[567].end 14892.172
transcript.whisperx[567].text 我剛講的是鋼鐵業還有像螺絲重金屬業他也都是面對這樣的事謝謝委員這個因為這個電價定價委員會裡面有很多的專家跟學者在那可能當初在這個定這個價的時候這部分沒有被提出來作為他們的參考我想這個我們每一年會有兩次這個調整電價的這個時間
transcript.whisperx[568].start 14895.635
transcript.whisperx[568].end 14911.241
transcript.whisperx[568].text 那電價當然不一定說只往上調啦也有可能往下調作為 我想您的這個指教我們會在12月份的時候我們有電價有一個諮詢的委員會我把這一題交給這個電價諮詢委員會
transcript.whisperx[569].start 14913.902
transcript.whisperx[569].end 14940.228
transcript.whisperx[569].text 他們來參考因為很多產業事實上他的狀況對所以以前就不能夠說以這麼短的時間來做評估我們用這麼短時間來論定的話基本上會有一個相對的一個剝奪感是是謝謝委員這是第一個那第二個就是說那如果台電公司因為面對著這樣衰退然後這個電價緩就是暫緩動漲或是減半的話我看也是台電要負擔啊是這樣嗎
transcript.whisperx[570].start 14943.323
transcript.whisperx[570].end 14965.126
transcript.whisperx[570].text 這也是台電的負擔嘛是是是所以我這樣說起來我也覺得我就自我矛盾啦我一方面我又在希望解決台電的問題一方面我又希望這事實上很多產業他是需要需要這個用電的一個照顧因為他真的是沒有成長所以我自己我也知道說我在這一題的論述會矛盾所以我還是回到了這部分
transcript.whisperx[571].start 14965.606
transcript.whisperx[571].end 14965.646
transcript.whisperx[571].text 報告委員
transcript.whisperx[572].start 14983.707
transcript.whisperx[572].end 15010.704
transcript.whisperx[572].text 我認為這個台電的問題應該是第一兩件事情就是說不是補助或不補助而是讓台電所有的創電成本能夠降低第二個台電的這個經營效率要能夠提升那從這個本身的體質來改造那麼我不希望台電的電價是
transcript.whisperx[573].start 15013.943
transcript.whisperx[573].end 15016.486
transcript.whisperx[573].text 會在長的我認為我們希望這個因為大家用
transcript.whisperx[574].start 15019.398
transcript.whisperx[574].end 15021.859
transcript.whisperx[574].text 部長這個是一直要這樣做一直要保持但是我們現在要解決的是
transcript.whisperx[575].start 15047.889
transcript.whisperx[575].end 15073.602
transcript.whisperx[575].text 過去兩年的那個成本的提高嘛所以造成大幅的虧損嘛所以我們現在短期內是遇到這個壓力我們希望說能夠改善我們財務上面的問題這改善不只啊不只現在應該持續都是要做好改善的啊沒有錯啊好那第二個我再我只要一分鐘的時間就好我想跟部長再就教一下現在我們好多產業啦事實上真的都是被
transcript.whisperx[576].start 15074.602
transcript.whisperx[576].end 15091.505
transcript.whisperx[576].text 中國資金所侵略尤其是在我們看不到的一些產業我就覺得事實上有兩個很有名的吳宗憲這個演藝界的吳宗憲他投資LED被整個被中國的廉價的LED打趴了
transcript.whisperx[577].start 15092.486
transcript.whisperx[577].end 15116.196
transcript.whisperx[577].text 我們立法院的吳宗憲在8月的時候也開了一個記者會他在說整個陸資都頓入新加坡或者是頓入香港把台灣的維木牆幾乎都是維木牆就是說我們的這個我們的基礎外面那個它外面那個暫時包起來的那個全部都被陸資都是被中國貨整個壟斷了
transcript.whisperx[578].start 15119.02
transcript.whisperx[578].end 15127.086
transcript.whisperx[578].text 這件事情你看連國民黨的吳宗憲委員他都有跳出來了那我們經濟部有正視這個維木牆被入資壟斷的狀況嗎?我們只要有業者反應我們都會列入檢討
transcript.whisperx[579].start 15134.034
transcript.whisperx[579].end 15149.892
transcript.whisperx[579].text 最近業者是已經有反應了他們的一個工會事實上都在反應已經被入資已經工程略遞到了連我們臺灣臺北未來的一個指標雙子星建設他也都是用入資的為牆
transcript.whisperx[580].start 15153.456
transcript.whisperx[580].end 15175.426
transcript.whisperx[580].text 回覆以後會來了解對,連我們未來台灣的指標的一個建案他幾乎都已經都被中國的已經攻城越地了那他們的入資的審核是否有足以嚴格有足以說排除說他們事實上都是假現在都是假借新加坡最多嘛那我們認為說這部分欸
transcript.whisperx[581].start 15177.947
transcript.whisperx[581].end 15202.41
transcript.whisperx[581].text 中國呢?他就是有他的競爭,他的競爭用價格優勢在攻擊你啊。那我們台灣當然這部分我們要做好自己的自我防護。我們經濟部站在第一線當然要幫他審查好啊。是,謝謝,謝謝委員。好不好?我們會建立這個基準齁,來嚴審。然後您剛才所指證的那個案子我們已經退掉了。有退掉了?是。好,那我了解齁。好,那再繼續再保持啦。是。好,謝謝。謝謝委員。
transcript.whisperx[582].start 15211.298
transcript.whisperx[582].end 15223.492
transcript.whisperx[582].text 請王育民委員質詢。謝謝主席。我們有請部長。請郭部長。
transcript.whisperx[583].start 15231.701
transcript.whisperx[583].end 15257.012
transcript.whisperx[583].text 委員好部長好部長上一次本席在這邊指詢有關與嘉義縣大埔光電的這個爭議這些鄉親非常的辛苦套柵撒電搭著遊覽車來到行政院下跪陳情從我指詢卓榮泰院長10月8號到現在已經超過三個禮拜了但是那個協調會到現在都沒有開
transcript.whisperx[584].start 15257.992
transcript.whisperx[584].end 15278.202
transcript.whisperx[584].text 想請問部長這個嘉義的大埔鄉親苦苦的等待而且到行政院下跪陳情這個光電案的爭議要怎麼解決?這個因為他這個案子是比較小的案子是由這個縣政府在核准的案子你們當時說你們要督導阿那現在都還沒有開協調會阿請問你們要打算怎麼處理?我們的這個縣府說11月初會來開協調會
transcript.whisperx[585].start 15288.552
transcript.whisperx[585].end 15305.624
transcript.whisperx[585].text 11月初這個協調會一定要開因為這些年邁的鄉親他們都在等第二個我要問的是這個案子其實最大的爭議就是它是在都市計畫區內的地面型光電它雖然是一個小鄉村但那邊是住宅區
transcript.whisperx[586].start 15306.665
transcript.whisperx[586].end 15321.272
transcript.whisperx[586].text 結果他在幾十戶的中間的空地要蓋上地面型光電所以居民是大反彈那像這樣子的話嘉義縣政府縣長翁章良這個事情爭議一爆發之後他也說經濟部應該要來研議這個都市計畫區內的地面型光電應該要設置嗎?可以設置嗎?可以不經過居民的同意嗎?這個部分我也要求你們應該要改善這個真的爭議非常大
transcript.whisperx[587].start 15334.659
transcript.whisperx[587].end 15360.069
transcript.whisperx[587].text 上次我問過部長,部長你說不缺電嘛,雨電工生有2萬公頃,我記得非常清楚這個數字那既然有2萬公頃,這個是一個很小廠的這個光電為什麼連這麼小廠都要讓他們進到這個都市計畫的住宅區裡面去蓋這個地面型的光電而且對居民影響這麼大,你們這個部分是不是可以去研議要如何的修正這個我想我們回覆研議一下啦,為什麼會這樣子
transcript.whisperx[588].start 15361.564
transcript.whisperx[588].end 15364.722
transcript.whisperx[588].text 好,那這個部分我要求你們多久可以研議出來?一個月?
transcript.whisperx[589].start 15366.087
transcript.whisperx[589].end 15392.996
transcript.whisperx[589].text 一個月可以一個月可以齁好我要求這個要重新去訂定一個更周延的一個做法另外一個在這個事件爆發的時候你們經濟部發了這個新聞稿這個真的是自己打臉自己啊你們說這個國家環境研究院呢已經做過這個太陽能光電溶出實驗證明水庫光電很安全結果人家國家環境研究院說根本沒有做過這個研究你們新聞稿就這樣子寫
transcript.whisperx[590].start 15393.976
transcript.whisperx[590].end 15420.033
transcript.whisperx[590].text 那這個中文水庫要蓋光電板這個爭議呢水利署其實也還沒有真正的許可包括很多都還沒有交的資料水質監測、防台依應、水污染防治、火災等等也都還沒有那結果你們的新聞稿就是大力的背書就覺得什麼都沒有問題可以用這樣的一個態度嗎那經濟部是不是都不監督只要遇到光電業者什麼都可以
transcript.whisperx[591].start 15421.306
transcript.whisperx[591].end 15436.666
transcript.whisperx[591].text 報告委員我想這件事情我也回覆以後查一下到底是為什麼他會這樣子的公告對你們的新聞稿這樣子寫跟事實都不符另外一個現在發生在嘉義的這一場這個台顏綠能的光電弊案高達77公頃開發了4年發不出一度電
transcript.whisperx[592].start 15440.51
transcript.whisperx[592].end 15468.204
transcript.whisperx[592].text 這樣一個弊案現在被檢調就是已經這個證據確鑿他現在就是已經要起訴了那這一個弊案我要問的是經濟部的責任在哪裡這麼大的77公頃台鹽綠能這樣的一個案子台鹽是屬於國營事業在他的子公司底下那四年這當中爆發出這樣子的一個這個問題那經濟部都睡著了都沒有感覺都沒有發現弊端
transcript.whisperx[593].start 15470.114
transcript.whisperx[593].end 15492.751
transcript.whisperx[593].text 跟委員報告當初是經濟部.那時候部長你還沒有來啦對啦但是我有聽我的次長跟我講說當初是經濟部去檢舉的經濟部檢舉的什麼時候才檢舉經濟部應該什麼時候檢舉我是不是請國營司來報告這件事好國營司講一下什麼時候檢舉就是我們移送檢調大概是分別在一百就是在去年跟今年
transcript.whisperx[594].start 15493.53
transcript.whisperx[594].end 15517.198
transcript.whisperx[594].text 所以是你們自己主動發現不對勁檢舉的?還是是民眾檢舉你們在檢舉?不是,一開始其實原來的陳啟宇陳董事長就是被我們發現那個合約有問題所以後來他才會請辭的那我們就一直在開始在整理這些案子那從他請辭以後就一直在整理這案子那大概到了去年的時候我們收集的案件比較完整的所以我們就去年就先去進行了檢舉
transcript.whisperx[595].start 15518.438
transcript.whisperx[595].end 15520.619
transcript.whisperx[595].text 目前還在收集大家的意見那預計要多久出來?部長
transcript.whisperx[596].start 15540.236
transcript.whisperx[596].end 15552.711
transcript.whisperx[596].text 我們還在等整合所以我們現在是農業部還有法務部還有經濟部那你一個月又過一個月今年年底會出來嗎?12月可以出來嗎?
transcript.whisperx[597].start 15554.442
transcript.whisperx[597].end 15570.38
transcript.whisperx[597].text 這事情不能一直耗著拖著阿要不然這一些整個的弊案然後這個亂象我覺得是需要整頓一下啦我們綠能很重要但是過程當中如果有人貪贓枉法就是圖利個人、掏空公司這一些通通都是不允許的阿
transcript.whisperx[598].start 15571.361
transcript.whisperx[598].end 15587.77
transcript.whisperx[598].text 你們預計多久可以出來報告委員 我想我們目前所我剛才同事的這個報告就是說現在行政院已經有政務委員來專責來處理這件事情所以這個實際的新的這個組織跟這個責任應該我想應該幾個月裡面應該會出來
transcript.whisperx[599].start 15597.501
transcript.whisperx[599].end 15597.781
transcript.whisperx[599].text 徐欣盈委員
transcript.whisperx[600].start 15635.964
transcript.whisperx[600].end 15647.988
transcript.whisperx[600].text 委員好部長好部長今天談SRF發電廠那您本身對SRF瞭解嗎?
transcript.whisperx[601].start 15658.252
transcript.whisperx[601].end 15676.484
transcript.whisperx[601].text 跟委員報告我不是那麼瞭解不是那麼瞭解那我們可以用嗎現在有很多的這個大家的問題我想這一個我本人不是這個專家啦那我想沒關係我們現在用很多東西生活上用的我都不是專家但是要用之前要確認嘛
transcript.whisperx[602].start 15677.284
transcript.whisperx[602].end 15699.653
transcript.whisperx[602].text 所以那個委員你要問的問題我想我的同事應該都有參加可以回答我請教您您覺得SRF這種所謂的固體再生燃料您覺得OK嗎這個現在是國際的趨勢啦好國際的趨勢而且它是減碳的相對於其他它是減碳的對減碳所以為了減碳我們可以犧牲其他的嗎
transcript.whisperx[603].start 15701.121
transcript.whisperx[603].end 15729.258
transcript.whisperx[603].text 你要減碳你其他也要兼顧嘛所以部長您知道燃燒什麼東西會產生黛奧辛嗎?不知道沒關係不要浪費時間含氯經過高溫催化會產生黛奧辛那你知道現在不完全燃燒啦不完全燃燒就會產生黛奧辛那您知道現在很多SRF的燃料它這個在應用上
transcript.whisperx[604].start 15730.492
transcript.whisperx[604].end 15752.154
transcript.whisperx[604].text 有很多還是產生戴奧心你知道有這種情況嗎有那所以我們台灣要但我本席知道這個在第10屆的這個就2020年開始第10屆的立法院就開始在推那推到目前您應該有接到很多的反應抗議跟爭議吧
transcript.whisperx[605].start 15754.002
transcript.whisperx[605].end 15755.184
transcript.whisperx[605].text 好 那本席告訴你為什麼
transcript.whisperx[606].start 15764.79
transcript.whisperx[606].end 15793.278
transcript.whisperx[606].text 本席的選區啊這個就聽到地方上有人說啊有一個地方是不是偷偷蓋焚化爐怎麼那麼臭然後呢這個那個味道常常有塑膠味燃燒金屬的毒氣味然後令人感到噁心想吐頭痛那您當然知道這個東西一定是地方民意代表他找環保局他們在那邊弄弄了很久
transcript.whisperx[607].start 15794.258
transcript.whisperx[607].end 15818.019
transcript.whisperx[607].text 大家還是搞不清楚只知道那個廠會發出這些臭味後來也有人想說跟我們反映我們就去了解以後他就是用SRF的這個燃料的一個職場那這個情況呢讓我們發現我們台灣已經在用廢發電了現在要我們用廢來減碳嗎
transcript.whisperx[608].start 15820.199
transcript.whisperx[608].end 15820.619
transcript.whisperx[608].text 所以SRF這種燃料棒
transcript.whisperx[609].start 15843.723
transcript.whisperx[609].end 15861.39
transcript.whisperx[609].text 他在燃燒的時候不會產生惡臭.不會產生有毒物質.包含像戴奧辛.他不會產生對人體健康.生命的危害嗎.這一點部長您回答我如果規範上面大家都follow這個規範.他是不會的那不是啊那他
transcript.whisperx[610].start 15865.987
transcript.whisperx[610].end 15867.208
transcript.whisperx[610].text 所以現在才聽到有民意代表跟你反映
transcript.whisperx[611].start 15890.428
transcript.whisperx[611].end 15901.693
transcript.whisperx[611].text 我今年5月才來啊所以那現在已經11月了對所以我跟您報告這個問題所以這半年您都不知道SRF有產生這麼大的問題那個不是我主管的
transcript.whisperx[612].start 15902.776
transcript.whisperx[612].end 15920.368
transcript.whisperx[612].text 不是主管,但是我是不是請環境部來跟您報告?好,可以可以可以委員您關心那個部分,我也知道您講的是哪一家職場我們今年6月到9月,我們有就全國所有的製造廠48家、使用廠18家,全面的總體檢那我們有提供一些體檢的一些建議給他們
transcript.whisperx[613].start 15922.009
transcript.whisperx[613].end 15940.056
transcript.whisperx[613].text 回過頭來我們自己也會加強這個品質的規範以及排氣標準的那這樣不行啊你們不能發生問題再重新來提解跟委員報告他其實他在他在產出之前你就要確認當然有啊當然有剛剛委員所關心的代耗性的部分我們的標準就是0.1耐克那這個部分也是歐盟的標準我們希望都不會產生代耗性啊你還有你還有你只要給他一個空間那這個這個標準是國際的標準
transcript.whisperx[614].start 15951.44
transcript.whisperx[614].end 15953.701
transcript.whisperx[614].text 這國際的標準我可以選擇不要這樣傷害人體的這個物品嗎?生產生活的過程都不要產生廢棄物但是沒有辦法垃圾一定會產生我們源頭要減量但一旦產生了我們用好的方法去處理它
transcript.whisperx[615].start 15968.018
transcript.whisperx[615].end 15972.461
transcript.whisperx[615].text 本席接獲民眾的陳情就是他怎麼存放在那裡東北季風一吹味道就那麼重
transcript.whisperx[616].start 15993.757
transcript.whisperx[616].end 16015.941
transcript.whisperx[616].text 你們有沒有到過現場?跟委員報告當然有阿就是說他有一些是原料的部分燃料的部分他必須要去做覆蓋所以SRF燃料只要產生出來放在那就會有錯位阿是跟委員報告這個我們台灣真的能用嗎?我們也跟地方政府、保局一起到現場去監督過了有問題我們會請他改善
transcript.whisperx[617].start 16021.083
transcript.whisperx[617].end 16045.011
transcript.whisperx[617].text 委員如果你對這個部分有願意進一步了解我們也可以安排委員來看好我真的希望你們這個不是只有這一家可是你SRF你為了要在台灣大量運用真的不要減了碳結果我們全民的健康賠進去當然不會他一定是在我們的健康之下現在就發生會有的怕環保局就會告發那他就要改善
transcript.whisperx[618].start 16047.483
transcript.whisperx[618].end 16055.367
transcript.whisperx[618].text 現在已經發生了 真的不要在冷氣房來做任何的決策跟判斷你實際到哪裡看過?
transcript.whisperx[619].start 16059.111
transcript.whisperx[619].end 16080.104
transcript.whisperx[619].text 你講那家廠我就看過然後呢你覺得OK?我們有看過那目前它的連線SIMS連線就是剛剛講戴耀星的全區物質是立即要連線跟地方環保局不是你不要一直講理論現在那我請部長和次長哪一天來站在那邊我們一起在那邊站一個小時不要戴口罩試試看好不好好謝謝
transcript.whisperx[620].start 16086.288
transcript.whisperx[620].end 16086.328
transcript.whisperx[620].text 請郭部長
transcript.whisperx[621].start 16118.854
transcript.whisperx[621].end 16119.094
transcript.whisperx[621].text 委員好
transcript.whisperx[622].start 16135.168
transcript.whisperx[622].end 16135.328
transcript.whisperx[622].text 主席
transcript.whisperx[623].start 16155.848
transcript.whisperx[623].end 16174.686
transcript.whisperx[623].text 政府存在的目的就是服務國人太好了謝謝昨天談到能源議題你的專案報告我聽到張祺凱委員就直接問你黃仁勳如果反台投資他開出的條件要有100億度的綠電你毫無思索秒回答說我們可以給他呀
transcript.whisperx[624].start 16180.474
transcript.whisperx[624].end 16194.109
transcript.whisperx[624].text 今天呢我就不對這個問題在給你提出因為你有這樣果斷的態度非常好那我認為啦就是我們的政府其實呢是搞不定這個能源政策其實不見得如您所講的
transcript.whisperx[625].start 16194.309
transcript.whisperx[625].end 16195.331
transcript.whisperx[625].text 這個我可不可以請這個水利署跟您報告?
transcript.whisperx[626].start 16209.56
transcript.whisperx[626].end 16238.37
transcript.whisperx[626].text 您知道對吧?水利署還有自來水公司對不對?是!好!沒關係您留在這邊他們給您資料就好因為我讓你希望能夠盡快的瞭解尤其是偏鄉的問題臺灣目前自來水的普及率是多少?您大概也不知道我給你答案112年6月份對95.5%剩下沒有自來水的地區就是位於偏鄉還有原鄉不僅僅是原住民地區喔
transcript.whisperx[627].start 16239.15
transcript.whisperx[627].end 16242.212
transcript.whisperx[627].text 根據監察院的調查,原住民地區在111年自來水普及率仍愛鄉9.96%
transcript.whisperx[628].start 16266.386
transcript.whisperx[628].end 16273.969
transcript.whisperx[628].text 新義鄉18.44%山地門鄉59.54%霧台鄉56.50%馬家鄉58.67%記得我剛剛跟你說55個鄉鎮嗎?就這幾個地區還有自來水其他地區都沒有自來水它叫什麼?它叫簡易自來水
transcript.whisperx[629].start 16295.316
transcript.whisperx[629].end 16314.965
transcript.whisperx[629].text 你知道簡易自來水我們一年多少錢的預算來做嗎?不知道對吧?兩億。部長,你要注意喔,這個叫做簡易自來水,不是自來水公司的系統喔。然後你知道這要怎麼提報嗎?那我現在來告訴你,你知道非常的離譜,非常的冗長。
transcript.whisperx[630].start 16316.991
transcript.whisperx[630].end 16330.566
transcript.whisperx[630].text 請地方政府提報簡易自來水的計畫.然後向水利署來爭取經費.水利署經費只有2億55個原箱.計畫內容包括哪些.看一下它的補助要點.
transcript.whisperx[631].start 16331.887
transcript.whisperx[631].end 16356.044
transcript.whisperx[631].text 簡易自來水事業要符合以下的條件。第一個,總表供水的供水系統。第二個,簡易自來水設施使用已經達10年以上。第三個,用戶使用的建築物為公寓大廈管理條例所稱的住宅。請問一下偏鄉跟原鄉有公寓大廈嗎?第四個,用戶數要達20戶以下。
transcript.whisperx[632].start 16359.286
transcript.whisperx[632].end 16359.306
transcript.whisperx[632].text 平筆
transcript.whisperx[633].start 16381.895
transcript.whisperx[633].end 16397.857
transcript.whisperx[633].text 還有排定它的補助的優先順序。然後審查還要再看什麼呢?計畫的完整性。第二個,經費的合理性。第三個,供水的急迫性。第四個,影響的戶數。
transcript.whisperx[634].start 16399.739
transcript.whisperx[634].end 16425.029
transcript.whisperx[634].text 部長,什麼叫做供水急迫性啊部落裡面就連一個簡易自來水都沒有了或者山區裡面我們的設備非常的容易毀損我們才會跟水利署提計劃嘛對不對那沒水喝就是一種急迫啊結果你們在最後審查的時候還要講說是不是急迫然後還要看是不是有多少的影響影響戶數
transcript.whisperx[635].start 16428.783
transcript.whisperx[635].end 16457.616
transcript.whisperx[635].text 部長你認為這個是在服務人民嗎?剛剛我們聽到了您對所謂的一百億度的那個綠電那麼快的秒回答現在最連基本的自來水我沒有講自來水喔自來水是我們自來水公司壞掉了馬上就派人家修然後水是乾淨的簡易自來水有的時候是黃黃的有的時候枯水期的時候也沒有那請問一下一年只有兩億
transcript.whisperx[636].start 16458.556
transcript.whisperx[636].end 16480.791
transcript.whisperx[636].text 你該怎麼處理這個事情好的謝謝委員的讓我們看到這個問題我在年底之前來完成這樣的一個修正好我是希望一個月之內要檢討完成啦好不好一個月之內因為我把問題都點出來給你了更何況我在立法院23年了
transcript.whisperx[637].start 16481.536
transcript.whisperx[637].end 16502.842
transcript.whisperx[637].text 我很清楚原鄉地區,如果自然水公司或你的這個水利署不知道的話來我辦公室,我會很快的告訴你應該怎麼做才會符合族人的需求,可以嗎?可以還有另外一件事情,一年兩億真的不夠啊我們會來爭取可不可以?是好,今年就爭取好嗎?
transcript.whisperx[638].start 16505.124
transcript.whisperx[638].end 16528.522
transcript.whisperx[638].text 今年好像已經確定了沒關係,如果我們有急迫性真的需要的話你用二倍金也可以來補貼我想我們署長這方面是專家啦他可以調整希望他是專家,署長希望你都了解原鄉地區跟偏鄉地區我們沒有乾淨的自來水至少給我們一個合乎規範的簡易自來水我們也有繳納稅金喔
transcript.whisperx[639].start 16530.464
transcript.whisperx[639].end 16530.664
transcript.whisperx[639].text 請武力華委員質詢。
transcript.whisperx[640].start 16566.265
transcript.whisperx[640].end 16568.886
transcript.whisperx[640].text 謝謝主席 有請國部長請國部長國務卿好部長好我在這邊跟你分享一個原鄉的實況其實在我們原鄉常常會遇到停電的問題就是災害發生停電那個是稀鬆平常但是日常也會發生停電
transcript.whisperx[641].start 16595.934
transcript.whisperx[641].end 16614.036
transcript.whisperx[641].text 以桃園有一個叫復興區他曾經在2021年的時候新聞上可以看到當時的區長說一年停電高達100次以上那去年呢2023年呢再一次引起民怨新的區長也說
transcript.whisperx[642].start 16615.618
transcript.whisperx[642].end 16641.737
transcript.whisperx[642].text 一年停電高達100次以上所以我其實在去年的年底我有到地方去做一個協調那很感謝臺電其實也有了積極作為把整個電路去做修復那我相信現在應該是改善許多但是我只是以這個為例子讓您了解其實在我們的原鄉
transcript.whisperx[643].start 16642.958
transcript.whisperx[643].end 16670.693
transcript.whisperx[643].text 我們災害發生之後我們有很多的風倒木那這些風倒木呢因為搶災最重要的就是要立刻把路搶通所以呢以這個復興區來講他們為了要解決這個問題其實他們有跟一些民間的單位他們也有所謂的CSR這樣的社會企業責任他們就去做了這樣的事情齁那您可以看一下這個圖片
transcript.whisperx[644].start 16671.894
transcript.whisperx[644].end 16695.475
transcript.whisperx[644].text 他們就是有一個移動型的去化設備像是一個卡車那聽到哪裡必須要搶災搶修他們就去把那邊的樹木去給它移除那部長你應該很了解像這種廢木材它其實就是屬於一種生殖能可以去做一個生殖燃料那我們也很鼓勵為什麼如果以民房的觀點啊
transcript.whisperx[645].start 16696.775
transcript.whisperx[645].end 16696.815
transcript.whisperx[645].text 來 現在問題來了齁
transcript.whisperx[646].start 16726.937
transcript.whisperx[646].end 16740.897
transcript.whisperx[646].text 經濟部我們有一個鼓勵的辦法叫做再生能源發電設備設置的管理辦法我們來看一下第四條之一他提到
transcript.whisperx[647].start 16741.718
transcript.whisperx[647].end 16742.819
transcript.whisperx[647].text 我可不可以請能源署來回答這個問題?
transcript.whisperx[648].start 16769.233
transcript.whisperx[648].end 16785.823
transcript.whisperx[648].text 跟委員報告當時我們在設定的時候因為定制型就是它有一個固定位置因為它要做發電的時候它一定會有料源的管理以及它的排放的管理所以針對移動型的我們當時沒有這樣的一個考慮那委員所提出來這個我們後續可能搭配這一次SRF的修正
transcript.whisperx[649].start 16791.744
transcript.whisperx[649].end 16802.948
transcript.whisperx[649].text 謝謝 謝謝你們能夠做這樣的因應變化那我接下來就是也要請教一下因為我們也有一個能源署的公民電廠我跟部長講好多原鄉躍躍欲試啊
transcript.whisperx[650].start 16804.648
transcript.whisperx[650].end 16823.764
transcript.whisperx[650].text 可是後來都跟我抱怨澄清其實我三年前兩年前都陸陸續續有人跟我抱怨澄清這個很好因為國家想要去做一個分散電網微型電網然後讓我們的這些社區也好鄉鎮也好他能夠參與但是我跟部長說吼恐怕成效很有限吶
transcript.whisperx[651].start 16824.665
transcript.whisperx[651].end 16842.803
transcript.whisperx[651].text 我們看第一種獎勵辦法他有所謂的原住民地區參與再生能源設置的獎勵辦法他是針對原住民地區的鄉鎮事工所我跟部長講你知道目前有哪個原鄉有成功設置嗎有醫院的有喔但是你知道成功設置的有嗎
transcript.whisperx[652].start 16846.516
transcript.whisperx[652].end 16849.817
transcript.whisperx[652].text 即便你要講台東大午紅葉對不對那個也是企業啊那個也不是鄉公所有辦法做的啊為什麼我們來看一下辦法因為法規裡面提到說第6條之一他說評估階段會給200萬元
transcript.whisperx[653].start 16863.702
transcript.whisperx[653].end 16876.705
transcript.whisperx[653].text 執行設置階段他說下列情形為上限且不得設置超過新台幣1000萬元又提到發電設備不能夠超過20%儲能設備不能夠超過40%我簡單跟部長換算總之意思就是說我為了得到政府你補助我1000萬我設備要準備4000萬誰做得到
transcript.whisperx[654].start 16889.711
transcript.whisperx[654].end 16918.334
transcript.whisperx[654].text 誰做得到所以您了解我的意思那因為時間的關係我再講另外一個設置辦法是屬於合作社社區型的好很好不一定要相公所做如果我社區發展協會要做也可以可是我們看一下他的辦法挺好的改了50%意思就是說政府你出一半我出一半相對合理但是還是很困難但是重點是說總裝置容量要10千瓦以上
transcript.whisperx[655].start 16919.315
transcript.whisperx[655].end 16925.894
transcript.whisperx[655].text 我們看一個圖片好多原鄉正在做這種防災型的微電網喔但是他們拿不到獎勵
transcript.whisperx[656].start 16927.301
transcript.whisperx[656].end 16927.481
transcript.whisperx[656].text 我們回去檢討
transcript.whisperx[657].start 16951.476
transcript.whisperx[657].end 16952.276
transcript.whisperx[657].text 請沈博洋委員質詢
transcript.whisperx[658].start 16983.142
transcript.whisperx[658].end 17007.865
transcript.whisperx[658].text 謝謝主席,有請部長還有國際貿易署的署長,謝謝請署長部長好,我沒有來過經濟委員會但是因為在之前總質詢的時候有特別問到院長跟經濟安全有關的事情不過那一次因為只有內政跟國防的在,經濟部不在所以我有些想要追問的事項
transcript.whisperx[659].start 17008.886
transcript.whisperx[659].end 17024.545
transcript.whisperx[659].text 那第一個就是因為這個2019年開始日本就一直在推經濟安保啦那我今天有看一下這一個經濟部的這個業務報告有特別提到像譬如說左邊這個供應鏈的強化啦核心基礎設施啦尤其是這個非紅供應鏈我有特別看到這一點
transcript.whisperx[660].start 17025.326
transcript.whisperx[660].end 17044.557
transcript.whisperx[660].text 右邊這一點是我們現在比較關注的一個當然就是指說我們到底要推動哪些技術我有看到報告有提到這一些但有一些就是竊取技術這件事情現在竊取技術以日本來講他們有做在2019到現在已經大概做了五年的一些盤點這些盤點包含一些人才的挖角、商業的間諜
transcript.whisperx[661].start 17045.518
transcript.whisperx[661].end 17065.658
transcript.whisperx[661].text 那我之前是為了教育部跟這一個人才挖角有關的事情那現在經濟部這一邊對於就是說我們的技術的外流這件事情我想說特別追問一下那我就先拿一個最近的案例就是這個台積電的事情就是說這個它的晶片流入華為那時候講看新聞他是講說有可能是透過這個算能科技
transcript.whisperx[662].start 17066.238
transcript.whisperx[662].end 17087.201
transcript.whisperx[662].text 算能科技看起來在中國是屬於比特大陸那因為比特大陸在之前它有被查過一次在被北檢那在查的那一次的過程當中它是說這個程序上在申請的時候有些問題啊等等之類那時候它台灣有一家公司嘛那家公司現在停掉不過我們現在在懷疑就會不會是同一家公司一樣的人現在移到算能科技上
transcript.whisperx[663].start 17087.842
transcript.whisperx[663].end 17100.348
transcript.whisperx[663].text 那如果我們現在要針對這件事情來做一些這個盤點跟回應的話因為一定不是只有這件事情而且現在也只是我們的一個推測而已但我們現在對於這些清單對於這些預防大概進展到什麼程度
transcript.whisperx[664].start 17101.329
transcript.whisperx[664].end 17125.727
transcript.whisperx[664].text 報告委員我想就這個個案來講TSMC第一個TSMC是守法的國際的公司他一定是遵法遵循法令的這個規定那就這個個案來講TSMC有通報美國出國管制單位那現在來講就是說因為我們知道美國有他的清單台灣也有自己的清單那我們沒有說一定就是說我們一定要跟著
transcript.whisperx[665].start 17125.947
transcript.whisperx[665].end 17126.768
transcript.whisperx[665].text 我這個是不是請國貿署跟你沒有問題?
transcript.whisperx[666].start 17151.875
transcript.whisperx[666].end 17168.812
transcript.whisperx[666].text 報告委員確實如您所說的我們的實體的清單是比美國這個比較晚制定的但是呢我們每一季都會找相關單位來做這個檢討那您所垂詢的這些公司並沒有在我們的實體清單之內
transcript.whisperx[667].start 17169.448
transcript.whisperx[667].end 17197.058
transcript.whisperx[667].text 好那因為我看彭博也有講他說這件事情他並不是說什麼很大的破口但他至少是一個教訓對不對就發生了這件事情那畢竟華為發生這一個清單是在美國是比較早以前的事所以看能不能在這一季稍微盤點一下尤其是比特大陸也算是一家蠻大的公司所以是不是經濟部能夠針對這一點看下一季盤點的時候畢竟以華為來講幾乎是全台灣人民都知道華為的背景所以是不是能夠盤點一下這個對我們的經濟安全可能會有比較好的保障
transcript.whisperx[668].start 17197.298
transcript.whisperx[668].end 17197.578
transcript.whisperx[668].text 另外一個小問題這個是淘寶
transcript.whisperx[669].start 17214.58
transcript.whisperx[669].end 17243.62
transcript.whisperx[669].text 那這可以看到呢這個現在在我們的捷運啊什麼等等之類的這個淘寶免運啊齁這個變得很多啦齁當然這一件事情齁它不是跟我們剛剛講的什麼關鍵技術什麼可能沒有什麼太大的關聯但淘寶畢竟它是一個電商電商會有一定個資上的問題那我們之前有盤點了一下其實淘寶來台灣大概有4次一次是08年那一次那2015被投審會裁罰一次是2013港商被撤回登記還有一次是2018又再用一次港商這個還在
transcript.whisperx[670].start 17244.66
transcript.whisperx[670].end 17272.785
transcript.whisperx[670].text 最右邊因傷的那一個呢也被投審會裁罰了所以我們現在的問題是應該是最中間的那一個但他的業務只有電子資訊供應服務業跟廣告傳單分送業但是我們可以看到他們現在放的這個廣告看起來不僅是如此啦齁那如果說只是有一個裁罰對他的傷害可能也不是很大那但是他又會掌握許多台灣人民的個資台灣人也是喜歡買便宜的東西嘛所以就這一點呢不知道經濟部能不能夠就這件事情來做一份處理
transcript.whisperx[671].start 17274.225
transcript.whisperx[671].end 17293.578
transcript.whisperx[671].text 我們這個要回去再研商一下因為這個問題比較複雜因為它一定是按照法令進來所以我們如果沒有實際的這個證據我想我們要對它裁罰可能有點困難我們要回去想一下然後大家討論一下再來跟委員報告
transcript.whisperx[672].start 17294.598
transcript.whisperx[672].end 17309.85
transcript.whisperx[672].text 希望能夠盡快因為畢竟他應該就是瞄準說什麼雙11啊什麼等等之類的那就會有大量的個資被收集所以我很希望就是說接下來可能來不及在這邊做一些報告但是不是我們直接譬如說在辦公室針對這件事情我們趕快來做一下盤點
transcript.whisperx[673].start 17310.73
transcript.whisperx[673].end 17329.056
transcript.whisperx[673].text 這個部分我可能要跟數位部再討論一下沒問題數位部有他們自己的清單但是跟經濟部可能又有點分開那可以一起也沒有關係但我希望能夠趕快處理互相蒐集一下然後也請我們這個單位來跟委員就教好沒問題那有要說明的嗎還是沒有沒有那我就先這個樣子因為時間到了謝謝部長謝謝委員
transcript.whisperx[674].start 17349.355
transcript.whisperx[674].end 17359.76
transcript.whisperx[674].text 請羅廷威委員質詢。謝謝主席,有請部長。請郭部長。
transcript.whisperx[675].start 17370.211
transcript.whisperx[675].end 17381.159
transcript.whisperx[675].text 您好部長好部長我很關心喔臺南最近有兩個立委在關心所謂的久違電廠設置這個燃氣機組那他們在抗議的過程我想他們的訴求你都知道吧哈囉他們在你是說兩位立委抗議對林俊憲、郭國文抗議久違電廠設置燃氣機組
transcript.whisperx[676].start 17394.485
transcript.whisperx[676].end 17417.793
transcript.whisperx[676].text 林基炫委員好像沒有提到這個問題好沒關係他們的抗議內容大致你知道狀況嗎我在這個接受質詢的時候大概只有這個郭國文委員提出嘛好那他提出的內容就是希望不要設置在那邊那最後您有同意嗎我們現在我現在還沒有到程序不到我這裡有沒有同意我要
transcript.whisperx[677].start 17418.854
transcript.whisperx[677].end 17441.846
transcript.whisperx[677].text 看他的這個程序的走的,看狀況是怎麼樣好,我現在另外一部分我想再另外關心喔因為昨天張祺凱委員有在這個諮詢的時候有提到黃仁勳這個AI大廠說需要100億的綠電,您是秒答應看起來是非常非常的有決心要做這件事情那我們當然覺得利益良善但是台中人
transcript.whisperx[678].start 17442.466
transcript.whisperx[678].end 17462.603
transcript.whisperx[678].text 有所謂台中人的一個需求在今天我要提出我希望你能夠看到台中人現在的一個困境首先我想先請問幾個問題就較於你自己齁那雖然有一些不一定是環境的一些專業但是你如果可以回答就盡量的說齁那請問中火燃煤目前所燒的煤是賴慶德口中乾淨的煤嗎?這個我是不是請這個實際我們台電來回答這個問題請說
transcript.whisperx[679].start 17472.199
transcript.whisperx[679].end 17494.431
transcript.whisperx[679].text 不好意思時間一直在轉我速度在等你們報告委員我們台電選擇的煤都盡量採高燃值低灰值的這個煤所以就是賴清德口中乾淨的煤我們盡量燒那個就是比例最高就是能源效率最好你結巴了所以跟他所陳述的是一樣的
transcript.whisperx[680].start 17496.444
transcript.whisperx[680].end 17524.074
transcript.whisperx[680].text 呃...我們...好,我不勉強你啦來我幾個訴求要跟部長特別說部長待會環境部會有一個會議是有關於台電現在所謂的蒸汽不一定會減煤之前王美花部長有特別提到在台中如果要增加燃氣機組會幫我們減煤炭機組那這個部分您的態度呢是,完全正確阿你也會繼續朝這個部分來執行嗎這是蒸汽來減煤阿
transcript.whisperx[681].start 17525.894
transcript.whisperx[681].end 17534.859
transcript.whisperx[681].text 對阿真的實際會有所謂的我們的藍媒機組會直接除役嗎?我們現在看到的是停了機組一增一減喔喔這個不一定
transcript.whisperx[682].start 17540.606
transcript.whisperx[682].end 17542.328
transcript.whisperx[682].text 那你有相關的一個配套或者是在入到公文白紙黑字確定嗎?
transcript.whisperx[683].start 17557.946
transcript.whisperx[683].end 17571.956
transcript.whisperx[683].text 這個不需要白紙黑字吧當然需要當然你可能覺得不需要但對於我們台中人是水深火熱我要講到的是幾件事情喔沒關係為我的訴求我要先講喔台中人就像現在我手中所拿的這個是所謂的空氣濾淨機
transcript.whisperx[684].start 17573.317
transcript.whisperx[684].end 17591.233
transcript.whisperx[684].text 我們被當成是行動的空氣濾鏡機在這個政策之下一直不斷的犧牲最近啊你有沒有看到在整個網路的輿論當中只要搜尋一下電費帳單大家不斷的在網路上亮出自己的帳單告訴我們現在的社會他覺得實際漲價有感
transcript.whisperx[685].start 17594.435
transcript.whisperx[685].end 17609.02
transcript.whisperx[685].text 電費真的是越來越貴我們一手被拿走了財產一手被奪取了生命從台中市衛生局所登記列載的我們相關的致癌率由肺癌是最高的
transcript.whisperx[686].start 17609.62
transcript.whisperx[686].end 17630.837
transcript.whisperx[686].text 所以我可行性的去了解我去評估如果藍莓機組持續的汰除可以有效的降低所謂的致癌尤其是肺癌這個部分第三個我要講的是我們現在看到的這也有關於所謂的前瞻計畫當然前瞻計畫我們一直在講我們希望不要有所謂的中部跟南部的差距
transcript.whisperx[687].start 17631.918
transcript.whisperx[687].end 17652.169
transcript.whisperx[687].text 現在看到南部高雄拿了1256億台中只有228億這些都是中央對待於台中市把台中市當成是二等公民我們第三層的剝削在這邊第四層的剝削我們要看到所許多的新聞我們都在問現在的賴總統我們的電力網的分部他跟大家說啊
transcript.whisperx[688].start 17652.969
transcript.whisperx[688].end 17675.556
transcript.whisperx[688].text 電網分散提早4年完成現在我們卻看到如果這些燃煤燃氣機組同時在火力發電廠他一定是台灣之罪他的排汰量也一定會是世界之罪我們很擔憂在電力部網的一個過程沒有去過於分散沒有去做相關的電網分布
transcript.whisperx[689].start 17676.671
transcript.whisperx[689].end 17697.691
transcript.whisperx[689].text 這對於中共來說是最開心的他攻擊台中火力發電廠就可以控制大部分的所謂的電力輸出我想以上這些我簡單的講了這麼多都只是希望我們這些能夠再協助台中市的發聲能夠給中央部會看到台中市的需求我曾經在火力發電廠決實抗議從當時我們就
transcript.whisperx[690].start 17702.02
transcript.whisperx[690].end 17725.272
transcript.whisperx[690].text 決定一定要反對藍莓機組到現在我的初衷都沒有變那剛剛很高興有聽到你所說的藍棲機組能夠一併的到位以後能夠太除藍莓機組我想從這樣子的一個態度我們可以認同但我們也很擔心中間會被跳票所以我們一定要強烈的反應
transcript.whisperx[691].start 17726.272
transcript.whisperx[691].end 17738.707
transcript.whisperx[691].text 我們的心聲跟需求謝謝委員你一定要支持我們的燃氣上去不然它你看不到燃沒下來第二個我是不是能夠請你這個了解一下子肺癌
transcript.whisperx[692].start 17739.69
transcript.whisperx[692].end 17767.589
transcript.whisperx[692].text 不是我的這個燃煤機場唯一的要素我們可不可以了解一下臺中有多少人抽煙然後它跟這個肺癌症相關我們要了解這個問題我們希望真正的來同樣因為臺中也是我們的國民我們也關心整個臺中的這個發展大家的健康所以我要知道那個原因是什麼如果真的是我們
transcript.whisperx[693].start 17768.61
transcript.whisperx[693].end 17773.332
transcript.whisperx[693].text 部長我們的結論很簡單我們都支持燃氣機組換燃煤機組我們沒有要去擋現在也看到如果今天燃氣機組這麼好那為什麼郭國文他們要去做抗議
transcript.whisperx[694].start 17794.42
transcript.whisperx[694].end 17815.837
transcript.whisperx[694].text 那他們可以抗議臺中市不能夠發聲臺中市沒有說不裝燃氣機組臺中市沒有說不裝燃氣機組我們可以燃氣換燃煤我們最低的要求最低的一線是燃氣換煤當然啦他有很多理由去牽扯到說那個地方不對那我也講嘛臺中地方不對應該到外縣市嘛
transcript.whisperx[695].start 17816.798
transcript.whisperx[695].end 17818.379
transcript.whisperx[695].text 在陳冠廷委員質詢完畢休息5分鐘現在請陳冠廷委員質詢
transcript.whisperx[696].start 17859.752
transcript.whisperx[696].end 17859.773
transcript.whisperx[696].text 請過部長。
transcript.whisperx[697].start 17870.273
transcript.whisperx[697].end 17883.706
transcript.whisperx[697].text 委員好 部長好 部長在前幾天AIT的Director谷麗妍她有提到說半導體要使用綠能那現在的台灣可能沒有辦法滿足這些需求
transcript.whisperx[698].start 17884.673
transcript.whisperx[698].end 17905.804
transcript.whisperx[698].text 那我想臺灣的半導體公司他必須要用綠能來達到R100的這個百分之百再生能源的這些需求那這樣子的這個我們說他們的concern他們擔憂的部分那臺積電他就我們所知他應該是全球第一個成為R100的半導體企業那根據國家再生能源評測中心裡面有統計臺積電購買的
transcript.whisperx[699].start 17907.805
transcript.whisperx[699].end 17925.932
transcript.whisperx[699].text 指轉公平證的數量是89.5萬張但是它佔的總評證的交易大概是99%也就是說現在全台灣的綠電評證幾乎都是由台積電來去買下來另一個面向就是說其他業者對於綠電的需求政府可能可以提供的是遠遠不及
transcript.whisperx[700].start 17927.287
transcript.whisperx[700].end 17941.653
transcript.whisperx[700].text 那我們現在我看卓院長昨天答覆委員的質詢的時候他是說我國在2030年底要達到綠電的供電比大概是要30%可是可能沒有辦法完成IEA的預期目標的一半
transcript.whisperx[701].start 17942.657
transcript.whisperx[701].end 17968.518
transcript.whisperx[701].text 那我現在想說我們現在不管是風冷、太陽冷我們當然是花費很多的心力在討論這一塊但是在地熱的部分就我們的資料顯示它在整個再生能源的佔比還不到1%我們好像是在鹿堡山而空軌沒有好好的去利用台灣的這個地熱的優勢我想請教一下部長關於這方面的地熱的探勘現在的狀況是怎麼樣?報告委員我們現在為止的地熱
transcript.whisperx[702].start 17969.719
transcript.whisperx[702].end 17975.784
transcript.whisperx[702].text 大部分都是比較淺層的探勘那我們現在應該有差不多
transcript.whisperx[703].start 17978.052
transcript.whisperx[703].end 18005.381
transcript.whisperx[703].text 不是啦,你現在一Gigabit一、伊蘭元山、大屯火山群那邊我們大概有7M的淺層的但是台灣跟委員報告台灣大概淺層的地熱運償量大概只有1Gigabit但是深層的也就是說4000公尺到6000公尺的運償量大概有40Gigabit這個40Gigabit全部能開發出來我們現在台灣大概
transcript.whisperx[704].start 18006.468
transcript.whisperx[704].end 18027.311
transcript.whisperx[704].text 用的量就是40G但是它因為是地熱所以上來以後轉換成可以用的大概是8.5G8.5G也是非常大所以我們現在呢非常努力的在這個做這個地熱的開發我來了我當部長以後我檢視了一下我們的自有的資源也就是說
transcript.whisperx[705].start 18028.212
transcript.whisperx[705].end 18055.137
transcript.whisperx[705].text 我們要臺灣自己本身能夠產出的這個能源是什麼就地熱、水力然後生殖能大概是這些所以我們現在非常努力的在這個地熱上面強化所以我除了中油公司以外我台電公司自己本身也做那除了國營的這兩個大公司下去做以外因為這是它核心的技術其他的民間的業者我們也鼓勵他們來參與
transcript.whisperx[706].start 18056.437
transcript.whisperx[706].end 18081.557
transcript.whisperx[706].text 所以現在開始了我相信會開啟一波在臺灣發展這個地熱的這個這樣的一個形式部長有什麼獎勵措施啊?剛才您提到說要請民間的這些民間現在因為我們可以看到全球在地熱上面有成就的這些公司包括在土耳其的包括在菲律賓包括在日本包括在這個義大利的這些都有
transcript.whisperx[707].start 18082.277
transcript.whisperx[707].end 18104.014
transcript.whisperx[707].text 我們請他們來評估不過我們現在我個人是比較期待我們現在中油跟中央研究院的那個所謂的探勘的這個案子因為它是一個比較先進的研究案我們打一座井最怕的就打下去水上不來或者是油上不來
transcript.whisperx[708].start 18104.741
transcript.whisperx[708].end 18134.008
transcript.whisperx[708].text 那我們現在中央科學院他們的這個技術就是我不用打到那麼深就可以知道會不會有這些熱源謝謝部長我還是在強調就是說現在基本上你說燃油燃氣的這些機組等等我看這個已經成為一個很大的爭點但是我們也是必須思考說再生能源確實是一個是戰略的方向那也是所有重大企業不得不燃那已經是國際的都有這樣的需求是的
transcript.whisperx[709].start 18134.528
transcript.whisperx[709].end 18158.624
transcript.whisperx[709].text 所以除了在風電之外、太陽能發電之外那種可以作為基載能源的地熱它可以穩定長時間供應4小時供應的那不會因為氣候、不會因為地形、地貌來去做改變的這樣是對我台灣很重要所以我目前看到是只有宜蘭園山現在是在做地熱的探勘那我認為盡快就是把深層的
transcript.whisperx[710].start 18160.325
transcript.whisperx[710].end 18160.465
transcript.whisperx[710].text 休息5分鐘
transcript.whisperx[711].start 18194.128
transcript.whisperx[711].end 18194.148
transcript.whisperx[711].text 公佈會議
transcript.whisperx[712].start 18213.49
transcript.whisperx[712].end 18226.049
transcript.whisperx[712].text 議員議員議員議員
transcript.whisperx[713].start 18233.76
transcript.whisperx[713].end 18256.64
transcript.whisperx[713].text 三、四、五、六、七、八、八、九、十、九、十、九、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、
transcript.whisperx[714].start 18495.558
transcript.whisperx[714].end 18496.078
transcript.whisperx[714].text 好,繼續開會,請圖全級委員諮詢。
transcript.whisperx[715].start 18522.568
transcript.whisperx[715].end 18547.807
transcript.whisperx[715].text 好,謝謝郭部長那今天也是我們針對SRF發電廠規劃以及對我們環境影響的評估那針對經濟部跟環境部的專案主題報告那我們針對我們其實一直以來我們針對桃園三家廠商進駐SRF廠商進駐這個程序不正義其實我們已經多次也像
transcript.whisperx[716].start 18548.887
transcript.whisperx[716].end 18566.161
transcript.whisperx[716].text 經濟部表達地方鄉親以及地方政府的反對的意見那我們今天就針對我們像我們桃園市政府已經有提出兩次撤銷三家廠商入園許可這部分部長應該知道吧
transcript.whisperx[717].start 18567.282
transcript.whisperx[717].end 18584.013
transcript.whisperx[717].text 我應該知道好那這一部分之前我們部長也有在媒體來表示說有關SRF廠的入園與否主導權跟決定權在桃園市政府而且尊重主管單位的決定是的
transcript.whisperx[718].start 18584.693
transcript.whisperx[718].end 18601.511
transcript.whisperx[718].text 好那這一部分喔那所以我們也知道第一次在桃園市政府以經濟部撤銷推薦函為由認為三家廠商不具備入園的要件因此那時候提出撤銷三家廠商的入園許可那當然經濟部後來在6月9號
transcript.whisperx[719].start 18604.594
transcript.whisperx[719].end 18616.035
transcript.whisperx[719].text 也撤銷了市府廢止入園的行政處分表示廠商的入園許可是桃園市政府的職權然後依圖管規定即可嘛 對不對
transcript.whisperx[720].start 18617.469
transcript.whisperx[720].end 18636.001
transcript.whisperx[720].text 是的那所以後來第二次我們桃園市政府又依照行政程序法規定認為三家廠商不具備入園的要件並撤銷三家廠商的入園許可那這部分提出的部分經濟部同意嗎?
transcript.whisperx[721].start 18637.679
transcript.whisperx[721].end 18662.944
transcript.whisperx[721].text 這個權利是地方政府的對他第二次因為第一次你說他單就撤銷推薦函來廢止這三家廠商入園許可你們認為這是不對的應該因為你說這個從頭到尾決定權、主導權都在桃園市政府依圖管規定就可以並不能因一個不具法律效力的推薦函就來廢止這三家的入園許可嘛
transcript.whisperx[722].start 18663.504
transcript.whisperx[722].end 18681.614
transcript.whisperx[722].text 所以第二次桃園市政府就依照行政程序法來提出說認為行政程序不正義來撤銷這三家廠商入園許可那這部分不知道部長對這有沒有什麼意見報告委員我想你剛才在所說的這個這個其實不是經濟部這個的決定這個是那個
transcript.whisperx[723].start 18688.217
transcript.whisperx[723].end 18714.982
transcript.whisperx[723].text 有的一個委員會、術院委員會的依法決定那我們只能依法行政所以重點其實經濟部一直從頭到尾的立場就沒有改變你也認為其實這個桃科廠商入園的規定就是桃園市政府有絕對的主導權跟決定權他只要依照這個圖管規定來辦理即可是不是
transcript.whisperx[724].start 18716.138
transcript.whisperx[724].end 18732.2
transcript.whisperx[724].text 是的法令規定就是這個是地方政府的權利地方政府要怎麼做他有權利這樣做但是送來溯源的這個部分其實不是這個命題我們也不能夠去影響溯源委員會那個是由專家學者
transcript.whisperx[725].start 18732.861
transcript.whisperx[725].end 18750.711
transcript.whisperx[725].text 他們來討論做出來的決定所以現在第二次第二次那個市政府提出的還沒有決定嘛蘇聯委員會還沒有決定對他們還在還在我們我們不會去影響這樣的事情所以也真的因為第一次被退回桃園市政府也不再糾結這個經濟部
transcript.whisperx[726].start 18752.992
transcript.whisperx[726].end 18776.28
transcript.whisperx[726].text 撤銷推薦函的部分他是針對109年12月23號那時候桃園市政府跟經濟部有開了第二次的會議那會議的結論也有公文啦他的結論就是說是SRF為再生能源的產業並由經濟部向市府推薦以專案核准進駐桃科園區
transcript.whisperx[727].start 18778.141
transcript.whisperx[727].end 18806.816
transcript.whisperx[727].text 也就是當初經濟部就是把SRF認定是再生能源也就是國家的重大能源政策所以發這個推薦函給桃園市政府要求桃園市政府以專案核准的方式讓它進駐桃科園區那針對這一部分我們也來了解當初所以山家SRF廠廠商是經過這一部分才進去那後來
transcript.whisperx[728].start 18808.196
transcript.whisperx[728].end 18834.226
transcript.whisperx[728].text 經濟部當然也有表示推薦函沒有法律效力所以不能依推薦函就撤銷這三家的入園許可那當然我們這一部分我們覺得也是有道理的並不能因為他沒有推薦函就廢止所以後來桃園市政府才用行政程序法居然沒有推薦函那就表示你沒有推薦函就不應該用專案的方式讓你通過
transcript.whisperx[729].start 18835.106
transcript.whisperx[729].end 18849.746
transcript.whisperx[729].text 入園所以要求居然撤銷的推薦案就不能以專案的方式那就必須按照原來桃科的土地使用分區管制的要點應該要重新來走程序
transcript.whisperx[730].start 18850.99
transcript.whisperx[730].end 18872.636
transcript.whisperx[730].text 那部長覺得這樣對不對?同意阿喔同意嘛所以其實就就是只要重新走程序就對了嘛所以我也希望喔數院委員會要知道要記得我們經濟部的方向當初桃園市政府就是因為經濟部認定SRF是再生能源所以
transcript.whisperx[731].start 18873.816
transcript.whisperx[731].end 18897.458
transcript.whisperx[731].text 經濟部一推薦函桃園市政府才同意以專案的方式放准讓它入行所以居然撤銷這個推薦函所以基本上這個專案已經不存在了就應該要重新走這個程序而且這部分我據我們有看到經濟部也有針對這部分好像有針對新的
transcript.whisperx[732].start 18899.58
transcript.whisperx[732].end 18917.187
transcript.whisperx[732].text 我們再生能源發展條例好像有新的規範是不是要排除了一般廢棄物以一般事業廢棄物列入再生能源的發電設備因為經濟部有公告、預告那我請這個能源署長跟你報告
transcript.whisperx[733].start 18918.684
transcript.whisperx[733].end 18938.2
transcript.whisperx[733].text 各位報告這次的修法是把這個要納入到再生條例獎勵優惠的只限於生殖能SRF的料源是屬生殖能部分保留其他的部分就回到熱處理用氣墊共生的方式來保留那我請問一下SRF它裡面所壓縮的原料是不是一般廢棄物跟一般事業廢棄物所以它要區分我們在這次修法的時候把它做出來
transcript.whisperx[734].start 18938.28
transcript.whisperx[734].end 18957.842
transcript.whisperx[734].text 就是原本它裡面就是有一般廢棄物跟一般事業廢棄物所以這次經濟部特別來針對這一部分來修改也就是說以後裡面有一般廢棄物跟一般事業廢棄物就排除再生能源的發電設備之外對不對排除在我們的獎勵然後改用氣電共生的方式來輔導它設置
transcript.whisperx[735].start 18958.943
transcript.whisperx[735].end 18987.489
transcript.whisperx[735].text 對阿所以也就是說SRF就是如果SRF裡面是用一般廢氣物跟一般CA廢氣物他就排除再生能源發電設備的獎勵裡面嘛所以也就是把SRF如果裡面還有這間就排除在外所以也就是說因為現在是在預告階段對阿就是說方向就是這樣嘛所以也就是說SRF基本上以經濟部新修改的方向就把它排除在再生能源之外
transcript.whisperx[736].start 18988.479
transcript.whisperx[736].end 19006.853
transcript.whisperx[736].text 在申請人員的發電設備的獎勵之外所以在這一部分我也特別來跟我們經濟部來說明我們一定要記得當初桃園市政府會同意他入園就是因為經濟部把他認定
transcript.whisperx[737].start 19007.874
transcript.whisperx[737].end 19026.203
transcript.whisperx[737].text 再生能源然後經濟部一再生能源國家能源之重大政策所以才用這個推薦函開了兩次的會議要求桃園市政府以專案核准的方式讓他來通過所以今天這兩個要件第一
transcript.whisperx[738].start 19027.003
transcript.whisperx[738].end 19054.923
transcript.whisperx[738].text 推薦函經濟部也已經撤回第二這個再生能源其實當初那個時候我們也詢問過我們的環境部那時候薛副省部長他也直接很明確就講他說這個絕對不是綠能然後針對再生能源的部分我們剛剛也有講再生能源他針對發電設備他已經排除在獎勵之外所以基本這一部分我們希望就像剛剛部長講的我們
transcript.whisperx[739].start 19055.943
transcript.whisperx[739].end 19072.257
transcript.whisperx[739].text 這三家廠商重新入園我們希望按照這個程序居然已經撤銷推薦函而且你們已經要秉儲在再生能源發電設備的獎勵之外所以希望這個溯源能夠支持桃園市政府
transcript.whisperx[740].start 19072.717
transcript.whisperx[740].end 19088.308
transcript.whisperx[740].text 撤銷他的入園規定讓他重新走這個程序他如果真的是一切合法我們是絕對歡迎只要經濟部還有環境部在12月份重新修訂加嚴的辦法的部分他真的都能夠通過
transcript.whisperx[741].start 19088.968
transcript.whisperx[741].end 19112.501
transcript.whisperx[741].text 我們也沒有拒絕他的理由我們一直堅持這個一定要程序正義居然已經撤銷了推薦函又秉持在再生能源發電設備之外所以希望這個訴願能夠支持桃園市政府的行政處分讓他重新走程序部長這樣可以嗎?訴願委員是獨立的啦所以我們也不能夠要…那訴願委員是誰騙的?
transcript.whisperx[742].start 19115.988
transcript.whisperx[742].end 19116.168
transcript.whisperx[742].text 請月圓之
transcript.whisperx[743].start 19145.335
transcript.whisperx[743].end 19172.47
transcript.whisperx[743].text 請葉延芝、葉延芝、葉延芝委員不在.請馬文君、馬文君、馬文君也委員不在.請蘇清泉、蘇清泉、蘇清泉委員不在.請顏寬恒、顏寬恒、顏寬恒委員不在.請陳培宇、陳培宇、陳培宇委員不在.請林楚英、林楚英、林楚英委員不在.請洪孟凱、洪孟凱、洪孟凱委員不在.請羅明才、羅明才、羅明才委員不在.請黃珊珊委員質詢
transcript.whisperx[744].start 19180.675
transcript.whisperx[744].end 19209.008
transcript.whisperx[744].text 謝謝主席,我請部長請郭部長委員好是,部長好,我想昨天我們剛好在專報的時候討論過這個題目那我看到昨天臺電有回了一個新聞稿這個所謂的致船費三年三十億那三年三十億他們是說因為臺中的煤倉沒有完工的原因
transcript.whisperx[745].start 19210.305
transcript.whisperx[745].end 19235.783
transcript.whisperx[745].text 那臺中煤倉沒有完工的原因那麼看到之前花了140億蓋了8年這8年接下來昨天的臺電的新聞稿看得我不知道要笑還是要哭他說這樣的話我們今年只需要花4億是嗎?你是說4億很驕傲的意思嗎?委員我是不是可以請那個臺電總市長跟您報告所以我先請部長說你覺得我們只花4億
transcript.whisperx[746].start 19236.741
transcript.whisperx[746].end 19248.978
transcript.whisperx[746].text 要覺得很驕傲的意思嗎?他說他今年只需要花4億自傳費去年花了前三年花了30億所以我們今年只要花4億部長我的意思是我們連4塊錢都不應該花
transcript.whisperx[747].start 19251.308
transcript.whisperx[747].end 19266.719
transcript.whisperx[747].text 我同意我也尊重委員的這樣的看法也就是說我們還是希望臺電把國家的錢當成錢是的把國家的錢不要當成他們可以自己浪費的東西來 董事長你要不要說一下
transcript.whisperx[748].start 19270.179
transcript.whisperx[748].end 19283.039
transcript.whisperx[748].text 好,委員第一個事情我們要減少自傳費的發生這點事情是確定的這是一個我覺得不可以發生的事情但它發生了那面對但是不要變成好像這是應該的
transcript.whisperx[749].start 19283.885
transcript.whisperx[749].end 19310.658
transcript.whisperx[749].text 那個委員我有說明一下因為自然會發生有的時候真的是比方說燃煤如果被要求降減煤的時候我們因為傳播的調度或者是用電量減少像去年2023年我理解但是不可以一年花20億啊是所以我們現在要下降這個叫做太離譜了要減低這個事情發生不過我也跟委員報告我們其實是有在提高他整個備用的備用的量所以才會往上這是審計部說的不是我黃珊珊說的是
transcript.whisperx[750].start 19311.758
transcript.whisperx[750].end 19333.313
transcript.whisperx[750].text 你們不要去打臉審計部,然後想要自己說明,如果今年划到4億還是不應該啊?這個我回去深刻檢討,我非常贊同這個委員的指教。好,那接下來就是部長我想再討論一下有關基隆協和電廠的事。協和電廠在我們的官網一直都說今年底要除役。
transcript.whisperx[751].start 19335.107
transcript.whisperx[751].end 19361.783
transcript.whisperx[751].text 臺電也說要轉緊急備用電力我現在要跟你確定他是不是確定廚藝只轉緊急備用我這個部分我的瞭解是不是轉緊急備用會看狀況來所以還不確定還不確定還不確定那如果轉緊急備用在環境部我上禮拜諮詢的時候環境部的就說如果轉緊急備用的話環境部就可以限制他運轉的時間時數
transcript.whisperx[752].start 19365.282
transcript.whisperx[752].end 19367.104
transcript.whisperx[752].text 我請董事長跟您討論一下
transcript.whisperx[753].start 19384.022
transcript.whisperx[753].end 19413.402
transcript.whisperx[753].text 好,各位委員報告就是我們第一個是協和電廠會依照環保法規在運轉第二個是720小時我們會把它適度的運用在會盡量購用不要再告訴大家說我其實沒有廚藝偷偷的繼續用好嗎部長我今天要講的就是說我不是沒有廚藝偷偷的用我就是一定會照著規範在做沒錯好,我現在要說的是協和電廠它是一個燃油電廠它的燃油成本一度將近是7塊半
transcript.whisperx[754].start 19414.462
transcript.whisperx[754].end 19436.065
transcript.whisperx[754].text 我們收電費才收3塊所以協和電廠發一度電就賠4塊半如果他要做緊急備用我沒有意見那是為了國家的整體需要但是接下去假設環民通過協和電廠接下去的4階完成新建大概要7年的時間我現在只是要問我們打算這7年裡面花多少錢
transcript.whisperx[755].start 19437.086
transcript.whisperx[755].end 19457.456
transcript.whisperx[755].text 去做這個緊急預轉要賠要賠多少錢我們應該趕快把它轉成燃氣的電廠燃氣要7年了部長這7年裡面沒有東西啊這7年裡面如果繼續做備載的話如果這個市接同意讓我接它應該是同時可以進行沒有那麼快至少要7年
transcript.whisperx[756].start 19458.622
transcript.whisperx[756].end 19459.202
transcript.whisperx[756].text 好的謝謝部長謝謝 謝謝委員
transcript.whisperx[757].start 19493.953
transcript.whisperx[757].end 19515.655
transcript.whisperx[757].text 登記發言的委員.除了不在場外.其餘的均已發言完畢.詢答結束.有張家俊委員.陳超明委員.所提的書面質詢列入記錄.刊登公報.書面質詢及未及答覆的部分.請相關單位與一週內以書面.答覆並複資本會.本日所列議程處理完畢.
transcript.whisperx[758].start 19516.816
transcript.whisperx[758].end 19535.995
transcript.whisperx[758].text 另外,第21號颱風康瑞已經增強為強烈颱風.並直撲臺灣。中央氣象署已經發布海上跟陸上的颱風警報.請大家做好充分的防颱準備.照顧好自己.也請保護好家園。謝謝大家,現在散會。
transcript.whisperx[759].start 19553.345
transcript.whisperx[759].end 19554.089
transcript.whisperx[759].text 委員會主席
transcript.whisperx[760].start 19558.289
transcript.whisperx[760].end 19558.789
transcript.whisperx[760].text 委員會主席