IVOD_ID |
15693 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/15693 |
日期 |
2024-03-06 |
會議資料.會議代碼 |
委員會-11-1-26-3 |
會議資料.會議代碼:str |
第11屆第1會期社會福利及衛生環境委員會第3次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.會次 |
3 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第1會期社會福利及衛生環境委員會第3次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-03-06T08:31:06+08:00 |
結束時間 |
2024-03-06T13:34:00+08:00 |
影片長度 |
05:02:54 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/bfaf9b39ac01a685370e55bcfbb05b21ea093030673645f93be8d109af184be4aba6c93ba8ed1c065ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-03-06T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期社會福利及衛生環境委員會第3次全體委員會議(事由:邀請勞動部部長、外交部、勞動力發展署、衛生福利部、內政部、國家安全局就「我國開放印度移工對本國勞工就業市場之衝擊」進行專題報告,並備質詢。) |
委員名稱 |
完整會議 |
委員發言時間 |
08:31:06 - 13:34:00 |
transcript.pyannote[0].speaker |
SPEAKER_21 |
transcript.pyannote[0].start |
137.54534375 |
transcript.pyannote[0].end |
140.61659375 |
transcript.pyannote[1].speaker |
SPEAKER_06 |
transcript.pyannote[1].start |
1797.58971875 |
transcript.pyannote[1].end |
1803.69846875 |
transcript.pyannote[2].speaker |
SPEAKER_05 |
transcript.pyannote[2].start |
1803.69846875 |
transcript.pyannote[2].end |
1834.59659375 |
transcript.pyannote[3].speaker |
SPEAKER_05 |
transcript.pyannote[3].start |
1835.06909375 |
transcript.pyannote[3].end |
1857.91784375 |
transcript.pyannote[4].speaker |
SPEAKER_05 |
transcript.pyannote[4].start |
1858.27221875 |
transcript.pyannote[4].end |
1879.28159375 |
transcript.pyannote[5].speaker |
SPEAKER_05 |
transcript.pyannote[5].start |
1880.04096875 |
transcript.pyannote[5].end |
1880.07471875 |
transcript.pyannote[6].speaker |
SPEAKER_06 |
transcript.pyannote[6].start |
1880.07471875 |
transcript.pyannote[6].end |
1883.65221875 |
transcript.pyannote[7].speaker |
SPEAKER_06 |
transcript.pyannote[7].start |
1884.51284375 |
transcript.pyannote[7].end |
1901.35409375 |
transcript.pyannote[8].speaker |
SPEAKER_06 |
transcript.pyannote[8].start |
1901.82659375 |
transcript.pyannote[8].end |
1906.04534375 |
transcript.pyannote[9].speaker |
SPEAKER_06 |
transcript.pyannote[9].start |
1906.53471875 |
transcript.pyannote[9].end |
1907.88471875 |
transcript.pyannote[10].speaker |
SPEAKER_06 |
transcript.pyannote[10].start |
1908.77909375 |
transcript.pyannote[10].end |
1910.26409375 |
transcript.pyannote[11].speaker |
SPEAKER_06 |
transcript.pyannote[11].start |
1910.90534375 |
transcript.pyannote[11].end |
1912.50846875 |
transcript.pyannote[12].speaker |
SPEAKER_06 |
transcript.pyannote[12].start |
1913.09909375 |
transcript.pyannote[12].end |
1914.75284375 |
transcript.pyannote[13].speaker |
SPEAKER_06 |
transcript.pyannote[13].start |
1915.07346875 |
transcript.pyannote[13].end |
1916.65971875 |
transcript.pyannote[14].speaker |
SPEAKER_06 |
transcript.pyannote[14].start |
1916.98034375 |
transcript.pyannote[14].end |
1918.73534375 |
transcript.pyannote[15].speaker |
SPEAKER_06 |
transcript.pyannote[15].start |
1919.24159375 |
transcript.pyannote[15].end |
1924.96221875 |
transcript.pyannote[16].speaker |
SPEAKER_06 |
transcript.pyannote[16].start |
1925.70471875 |
transcript.pyannote[16].end |
1928.33721875 |
transcript.pyannote[17].speaker |
SPEAKER_06 |
transcript.pyannote[17].start |
1929.14721875 |
transcript.pyannote[17].end |
1932.13409375 |
transcript.pyannote[18].speaker |
SPEAKER_06 |
transcript.pyannote[18].start |
1932.97784375 |
transcript.pyannote[18].end |
1935.67784375 |
transcript.pyannote[19].speaker |
SPEAKER_06 |
transcript.pyannote[19].start |
1936.53846875 |
transcript.pyannote[19].end |
1938.88409375 |
transcript.pyannote[20].speaker |
SPEAKER_06 |
transcript.pyannote[20].start |
1940.01471875 |
transcript.pyannote[20].end |
1942.19159375 |
transcript.pyannote[21].speaker |
SPEAKER_06 |
transcript.pyannote[21].start |
1943.54159375 |
transcript.pyannote[21].end |
1946.17409375 |
transcript.pyannote[22].speaker |
SPEAKER_06 |
transcript.pyannote[22].start |
1947.30471875 |
transcript.pyannote[22].end |
1951.18596875 |
transcript.pyannote[23].speaker |
SPEAKER_06 |
transcript.pyannote[23].start |
1952.77221875 |
transcript.pyannote[23].end |
1958.67846875 |
transcript.pyannote[24].speaker |
SPEAKER_06 |
transcript.pyannote[24].start |
1960.19721875 |
transcript.pyannote[24].end |
1962.28971875 |
transcript.pyannote[25].speaker |
SPEAKER_06 |
transcript.pyannote[25].start |
1963.65659375 |
transcript.pyannote[25].end |
1967.04846875 |
transcript.pyannote[26].speaker |
SPEAKER_06 |
transcript.pyannote[26].start |
1968.53346875 |
transcript.pyannote[26].end |
1971.31784375 |
transcript.pyannote[27].speaker |
SPEAKER_06 |
transcript.pyannote[27].start |
1972.60034375 |
transcript.pyannote[27].end |
1975.21596875 |
transcript.pyannote[28].speaker |
SPEAKER_06 |
transcript.pyannote[28].start |
1976.41409375 |
transcript.pyannote[28].end |
1982.60721875 |
transcript.pyannote[29].speaker |
SPEAKER_06 |
transcript.pyannote[29].start |
1984.31159375 |
transcript.pyannote[29].end |
1986.15096875 |
transcript.pyannote[30].speaker |
SPEAKER_06 |
transcript.pyannote[30].start |
1986.55596875 |
transcript.pyannote[30].end |
1988.19284375 |
transcript.pyannote[31].speaker |
SPEAKER_06 |
transcript.pyannote[31].start |
1988.24346875 |
transcript.pyannote[31].end |
1989.76221875 |
transcript.pyannote[32].speaker |
SPEAKER_06 |
transcript.pyannote[32].start |
1991.65221875 |
transcript.pyannote[32].end |
1994.82471875 |
transcript.pyannote[33].speaker |
SPEAKER_06 |
transcript.pyannote[33].start |
1995.58409375 |
transcript.pyannote[33].end |
1997.79471875 |
transcript.pyannote[34].speaker |
SPEAKER_06 |
transcript.pyannote[34].start |
1998.79034375 |
transcript.pyannote[34].end |
2004.15659375 |
transcript.pyannote[35].speaker |
SPEAKER_11 |
transcript.pyannote[35].start |
2010.04596875 |
transcript.pyannote[35].end |
2010.60284375 |
transcript.pyannote[36].speaker |
SPEAKER_11 |
transcript.pyannote[36].start |
2010.94034375 |
transcript.pyannote[36].end |
2014.06221875 |
transcript.pyannote[37].speaker |
SPEAKER_11 |
transcript.pyannote[37].start |
2014.55159375 |
transcript.pyannote[37].end |
2022.65159375 |
transcript.pyannote[38].speaker |
SPEAKER_11 |
transcript.pyannote[38].start |
2023.09034375 |
transcript.pyannote[38].end |
2030.21159375 |
transcript.pyannote[39].speaker |
SPEAKER_11 |
transcript.pyannote[39].start |
2030.46471875 |
transcript.pyannote[39].end |
2032.23659375 |
transcript.pyannote[40].speaker |
SPEAKER_11 |
transcript.pyannote[40].start |
2033.28284375 |
transcript.pyannote[40].end |
2034.41346875 |
transcript.pyannote[41].speaker |
SPEAKER_11 |
transcript.pyannote[41].start |
2034.70034375 |
transcript.pyannote[41].end |
2037.24846875 |
transcript.pyannote[42].speaker |
SPEAKER_11 |
transcript.pyannote[42].start |
2037.55221875 |
transcript.pyannote[42].end |
2039.25659375 |
transcript.pyannote[43].speaker |
SPEAKER_11 |
transcript.pyannote[43].start |
2039.49284375 |
transcript.pyannote[43].end |
2041.66971875 |
transcript.pyannote[44].speaker |
SPEAKER_11 |
transcript.pyannote[44].start |
2041.99034375 |
transcript.pyannote[44].end |
2043.54284375 |
transcript.pyannote[45].speaker |
SPEAKER_11 |
transcript.pyannote[45].start |
2043.81284375 |
transcript.pyannote[45].end |
2045.93909375 |
transcript.pyannote[46].speaker |
SPEAKER_11 |
transcript.pyannote[46].start |
2046.46221875 |
transcript.pyannote[46].end |
2051.03534375 |
transcript.pyannote[47].speaker |
SPEAKER_11 |
transcript.pyannote[47].start |
2051.33909375 |
transcript.pyannote[47].end |
2055.62534375 |
transcript.pyannote[48].speaker |
SPEAKER_11 |
transcript.pyannote[48].start |
2056.04721875 |
transcript.pyannote[48].end |
2059.15221875 |
transcript.pyannote[49].speaker |
SPEAKER_11 |
transcript.pyannote[49].start |
2059.33784375 |
transcript.pyannote[49].end |
2062.22346875 |
transcript.pyannote[50].speaker |
SPEAKER_11 |
transcript.pyannote[50].start |
2062.44284375 |
transcript.pyannote[50].end |
2065.69971875 |
transcript.pyannote[51].speaker |
SPEAKER_11 |
transcript.pyannote[51].start |
2065.98659375 |
transcript.pyannote[51].end |
2068.24784375 |
transcript.pyannote[52].speaker |
SPEAKER_11 |
transcript.pyannote[52].start |
2068.87221875 |
transcript.pyannote[52].end |
2076.09471875 |
transcript.pyannote[53].speaker |
SPEAKER_11 |
transcript.pyannote[53].start |
2076.43221875 |
transcript.pyannote[53].end |
2081.03909375 |
transcript.pyannote[54].speaker |
SPEAKER_11 |
transcript.pyannote[54].start |
2081.46096875 |
transcript.pyannote[54].end |
2084.78534375 |
transcript.pyannote[55].speaker |
SPEAKER_11 |
transcript.pyannote[55].start |
2084.86971875 |
transcript.pyannote[55].end |
2086.70909375 |
transcript.pyannote[56].speaker |
SPEAKER_11 |
transcript.pyannote[56].start |
2086.97909375 |
transcript.pyannote[56].end |
2088.68346875 |
transcript.pyannote[57].speaker |
SPEAKER_11 |
transcript.pyannote[57].start |
2088.97034375 |
transcript.pyannote[57].end |
2091.13034375 |
transcript.pyannote[58].speaker |
SPEAKER_11 |
transcript.pyannote[58].start |
2091.48471875 |
transcript.pyannote[58].end |
2098.70721875 |
transcript.pyannote[59].speaker |
SPEAKER_11 |
transcript.pyannote[59].start |
2099.09534375 |
transcript.pyannote[59].end |
2101.27221875 |
transcript.pyannote[60].speaker |
SPEAKER_11 |
transcript.pyannote[60].start |
2101.42409375 |
transcript.pyannote[60].end |
2103.92159375 |
transcript.pyannote[61].speaker |
SPEAKER_11 |
transcript.pyannote[61].start |
2104.61346875 |
transcript.pyannote[61].end |
2106.03096875 |
transcript.pyannote[62].speaker |
SPEAKER_11 |
transcript.pyannote[62].start |
2106.80721875 |
transcript.pyannote[62].end |
2108.47784375 |
transcript.pyannote[63].speaker |
SPEAKER_11 |
transcript.pyannote[63].start |
2108.52846875 |
transcript.pyannote[63].end |
2112.30846875 |
transcript.pyannote[64].speaker |
SPEAKER_11 |
transcript.pyannote[64].start |
2112.49409375 |
transcript.pyannote[64].end |
2118.61971875 |
transcript.pyannote[65].speaker |
SPEAKER_11 |
transcript.pyannote[65].start |
2119.15971875 |
transcript.pyannote[65].end |
2125.75784375 |
transcript.pyannote[66].speaker |
SPEAKER_11 |
transcript.pyannote[66].start |
2126.24721875 |
transcript.pyannote[66].end |
2133.70596875 |
transcript.pyannote[67].speaker |
SPEAKER_11 |
transcript.pyannote[67].start |
2133.99284375 |
transcript.pyannote[67].end |
2135.19096875 |
transcript.pyannote[68].speaker |
SPEAKER_11 |
transcript.pyannote[68].start |
2135.29221875 |
transcript.pyannote[68].end |
2137.80659375 |
transcript.pyannote[69].speaker |
SPEAKER_11 |
transcript.pyannote[69].start |
2138.31284375 |
transcript.pyannote[69].end |
2141.46846875 |
transcript.pyannote[70].speaker |
SPEAKER_11 |
transcript.pyannote[70].start |
2141.78909375 |
transcript.pyannote[70].end |
2144.05034375 |
transcript.pyannote[71].speaker |
SPEAKER_11 |
transcript.pyannote[71].start |
2144.15159375 |
transcript.pyannote[71].end |
2147.03721875 |
transcript.pyannote[72].speaker |
SPEAKER_11 |
transcript.pyannote[72].start |
2147.61096875 |
transcript.pyannote[72].end |
2153.29784375 |
transcript.pyannote[73].speaker |
SPEAKER_11 |
transcript.pyannote[73].start |
2153.61846875 |
transcript.pyannote[73].end |
2155.98096875 |
transcript.pyannote[74].speaker |
SPEAKER_11 |
transcript.pyannote[74].start |
2156.35221875 |
transcript.pyannote[74].end |
2159.54159375 |
transcript.pyannote[75].speaker |
SPEAKER_11 |
transcript.pyannote[75].start |
2159.64284375 |
transcript.pyannote[75].end |
2163.30471875 |
transcript.pyannote[76].speaker |
SPEAKER_11 |
transcript.pyannote[76].start |
2163.55784375 |
transcript.pyannote[76].end |
2164.80659375 |
transcript.pyannote[77].speaker |
SPEAKER_11 |
transcript.pyannote[77].start |
2165.39721875 |
transcript.pyannote[77].end |
2167.82721875 |
transcript.pyannote[78].speaker |
SPEAKER_11 |
transcript.pyannote[78].start |
2168.38409375 |
transcript.pyannote[78].end |
2170.20659375 |
transcript.pyannote[79].speaker |
SPEAKER_11 |
transcript.pyannote[79].start |
2170.37534375 |
transcript.pyannote[79].end |
2173.36221875 |
transcript.pyannote[80].speaker |
SPEAKER_11 |
transcript.pyannote[80].start |
2173.73346875 |
transcript.pyannote[80].end |
2176.16346875 |
transcript.pyannote[81].speaker |
SPEAKER_11 |
transcript.pyannote[81].start |
2176.51784375 |
transcript.pyannote[81].end |
2177.22659375 |
transcript.pyannote[82].speaker |
SPEAKER_11 |
transcript.pyannote[82].start |
2177.51346875 |
transcript.pyannote[82].end |
2181.24284375 |
transcript.pyannote[83].speaker |
SPEAKER_11 |
transcript.pyannote[83].start |
2181.64784375 |
transcript.pyannote[83].end |
2183.60534375 |
transcript.pyannote[84].speaker |
SPEAKER_11 |
transcript.pyannote[84].start |
2183.80784375 |
transcript.pyannote[84].end |
2185.07346875 |
transcript.pyannote[85].speaker |
SPEAKER_11 |
transcript.pyannote[85].start |
2185.49534375 |
transcript.pyannote[85].end |
2188.65096875 |
transcript.pyannote[86].speaker |
SPEAKER_11 |
transcript.pyannote[86].start |
2188.81971875 |
transcript.pyannote[86].end |
2189.81534375 |
transcript.pyannote[87].speaker |
SPEAKER_11 |
transcript.pyannote[87].start |
2190.15284375 |
transcript.pyannote[87].end |
2193.35909375 |
transcript.pyannote[88].speaker |
SPEAKER_11 |
transcript.pyannote[88].start |
2193.66284375 |
transcript.pyannote[88].end |
2196.17721875 |
transcript.pyannote[89].speaker |
SPEAKER_11 |
transcript.pyannote[89].start |
2196.64971875 |
transcript.pyannote[89].end |
2202.47159375 |
transcript.pyannote[90].speaker |
SPEAKER_11 |
transcript.pyannote[90].start |
2203.06221875 |
transcript.pyannote[90].end |
2209.60971875 |
transcript.pyannote[91].speaker |
SPEAKER_11 |
transcript.pyannote[91].start |
2210.57159375 |
transcript.pyannote[91].end |
2211.75284375 |
transcript.pyannote[92].speaker |
SPEAKER_11 |
transcript.pyannote[92].start |
2212.09034375 |
transcript.pyannote[92].end |
2216.86596875 |
transcript.pyannote[93].speaker |
SPEAKER_11 |
transcript.pyannote[93].start |
2217.13596875 |
transcript.pyannote[93].end |
2221.64159375 |
transcript.pyannote[94].speaker |
SPEAKER_11 |
transcript.pyannote[94].start |
2221.86096875 |
transcript.pyannote[94].end |
2224.27409375 |
transcript.pyannote[95].speaker |
SPEAKER_11 |
transcript.pyannote[95].start |
2225.43846875 |
transcript.pyannote[95].end |
2229.04971875 |
transcript.pyannote[96].speaker |
SPEAKER_11 |
transcript.pyannote[96].start |
2229.43784375 |
transcript.pyannote[96].end |
2232.67784375 |
transcript.pyannote[97].speaker |
SPEAKER_11 |
transcript.pyannote[97].start |
2233.11659375 |
transcript.pyannote[97].end |
2235.24284375 |
transcript.pyannote[98].speaker |
SPEAKER_11 |
transcript.pyannote[98].start |
2236.05284375 |
transcript.pyannote[98].end |
2237.40284375 |
transcript.pyannote[99].speaker |
SPEAKER_11 |
transcript.pyannote[99].start |
2237.48721875 |
transcript.pyannote[99].end |
2238.92159375 |
transcript.pyannote[100].speaker |
SPEAKER_11 |
transcript.pyannote[100].start |
2239.25909375 |
transcript.pyannote[100].end |
2243.29221875 |
transcript.pyannote[101].speaker |
SPEAKER_11 |
transcript.pyannote[101].start |
2243.54534375 |
transcript.pyannote[101].end |
2245.33409375 |
transcript.pyannote[102].speaker |
SPEAKER_11 |
transcript.pyannote[102].start |
2245.89096875 |
transcript.pyannote[102].end |
2255.54346875 |
transcript.pyannote[103].speaker |
SPEAKER_11 |
transcript.pyannote[103].start |
2255.93159375 |
transcript.pyannote[103].end |
2257.53471875 |
transcript.pyannote[104].speaker |
SPEAKER_11 |
transcript.pyannote[104].start |
2258.44596875 |
transcript.pyannote[104].end |
2262.09096875 |
transcript.pyannote[105].speaker |
SPEAKER_11 |
transcript.pyannote[105].start |
2262.36096875 |
transcript.pyannote[105].end |
2265.98909375 |
transcript.pyannote[106].speaker |
SPEAKER_11 |
transcript.pyannote[106].start |
2266.39409375 |
transcript.pyannote[106].end |
2267.49096875 |
transcript.pyannote[107].speaker |
SPEAKER_11 |
transcript.pyannote[107].start |
2268.16596875 |
transcript.pyannote[107].end |
2276.80596875 |
transcript.pyannote[108].speaker |
SPEAKER_11 |
transcript.pyannote[108].start |
2277.34596875 |
transcript.pyannote[108].end |
2281.34534375 |
transcript.pyannote[109].speaker |
SPEAKER_11 |
transcript.pyannote[109].start |
2281.83471875 |
transcript.pyannote[109].end |
2286.49221875 |
transcript.pyannote[110].speaker |
SPEAKER_11 |
transcript.pyannote[110].start |
2286.96471875 |
transcript.pyannote[110].end |
2293.39409375 |
transcript.pyannote[111].speaker |
SPEAKER_11 |
transcript.pyannote[111].start |
2293.54596875 |
transcript.pyannote[111].end |
2298.38909375 |
transcript.pyannote[112].speaker |
SPEAKER_11 |
transcript.pyannote[112].start |
2298.96284375 |
transcript.pyannote[112].end |
2302.16909375 |
transcript.pyannote[113].speaker |
SPEAKER_11 |
transcript.pyannote[113].start |
2302.40534375 |
transcript.pyannote[113].end |
2305.54409375 |
transcript.pyannote[114].speaker |
SPEAKER_11 |
transcript.pyannote[114].start |
2305.62846875 |
transcript.pyannote[114].end |
2309.37471875 |
transcript.pyannote[115].speaker |
SPEAKER_11 |
transcript.pyannote[115].start |
2309.72909375 |
transcript.pyannote[115].end |
2313.03659375 |
transcript.pyannote[116].speaker |
SPEAKER_11 |
transcript.pyannote[116].start |
2313.37409375 |
transcript.pyannote[116].end |
2318.16659375 |
transcript.pyannote[117].speaker |
SPEAKER_11 |
transcript.pyannote[117].start |
2318.52096875 |
transcript.pyannote[117].end |
2320.88346875 |
transcript.pyannote[118].speaker |
SPEAKER_11 |
transcript.pyannote[118].start |
2321.44034375 |
transcript.pyannote[118].end |
2324.93346875 |
transcript.pyannote[119].speaker |
SPEAKER_11 |
transcript.pyannote[119].start |
2325.15284375 |
transcript.pyannote[119].end |
2328.10596875 |
transcript.pyannote[120].speaker |
SPEAKER_11 |
transcript.pyannote[120].start |
2328.32534375 |
transcript.pyannote[120].end |
2331.86909375 |
transcript.pyannote[121].speaker |
SPEAKER_11 |
transcript.pyannote[121].start |
2332.20659375 |
transcript.pyannote[121].end |
2335.80096875 |
transcript.pyannote[122].speaker |
SPEAKER_11 |
transcript.pyannote[122].start |
2336.02034375 |
transcript.pyannote[122].end |
2338.06221875 |
transcript.pyannote[123].speaker |
SPEAKER_11 |
transcript.pyannote[123].start |
2338.56846875 |
transcript.pyannote[123].end |
2339.17596875 |
transcript.pyannote[124].speaker |
SPEAKER_11 |
transcript.pyannote[124].start |
2339.27721875 |
transcript.pyannote[124].end |
2341.31909375 |
transcript.pyannote[125].speaker |
SPEAKER_11 |
transcript.pyannote[125].start |
2341.57221875 |
transcript.pyannote[125].end |
2342.68596875 |
transcript.pyannote[126].speaker |
SPEAKER_11 |
transcript.pyannote[126].start |
2342.95596875 |
transcript.pyannote[126].end |
2345.90909375 |
transcript.pyannote[127].speaker |
SPEAKER_11 |
transcript.pyannote[127].start |
2346.19596875 |
transcript.pyannote[127].end |
2352.25409375 |
transcript.pyannote[128].speaker |
SPEAKER_11 |
transcript.pyannote[128].start |
2352.55784375 |
transcript.pyannote[128].end |
2355.05534375 |
transcript.pyannote[129].speaker |
SPEAKER_11 |
transcript.pyannote[129].start |
2355.19034375 |
transcript.pyannote[129].end |
2358.39659375 |
transcript.pyannote[130].speaker |
SPEAKER_11 |
transcript.pyannote[130].start |
2359.05471875 |
transcript.pyannote[130].end |
2368.65659375 |
transcript.pyannote[131].speaker |
SPEAKER_11 |
transcript.pyannote[131].start |
2368.87596875 |
transcript.pyannote[131].end |
2379.79409375 |
transcript.pyannote[132].speaker |
SPEAKER_11 |
transcript.pyannote[132].start |
2380.14846875 |
transcript.pyannote[132].end |
2382.62909375 |
transcript.pyannote[133].speaker |
SPEAKER_11 |
transcript.pyannote[133].start |
2382.79784375 |
transcript.pyannote[133].end |
2384.51909375 |
transcript.pyannote[134].speaker |
SPEAKER_11 |
transcript.pyannote[134].start |
2384.83971875 |
transcript.pyannote[134].end |
2386.99971875 |
transcript.pyannote[135].speaker |
SPEAKER_11 |
transcript.pyannote[135].start |
2387.33721875 |
transcript.pyannote[135].end |
2389.49721875 |
transcript.pyannote[136].speaker |
SPEAKER_11 |
transcript.pyannote[136].start |
2389.73346875 |
transcript.pyannote[136].end |
2392.77096875 |
transcript.pyannote[137].speaker |
SPEAKER_11 |
transcript.pyannote[137].start |
2392.90596875 |
transcript.pyannote[137].end |
2394.84659375 |
transcript.pyannote[138].speaker |
SPEAKER_11 |
transcript.pyannote[138].start |
2394.86346875 |
transcript.pyannote[138].end |
2396.77034375 |
transcript.pyannote[139].speaker |
SPEAKER_11 |
transcript.pyannote[139].start |
2396.83784375 |
transcript.pyannote[139].end |
2398.23846875 |
transcript.pyannote[140].speaker |
SPEAKER_11 |
transcript.pyannote[140].start |
2398.37346875 |
transcript.pyannote[140].end |
2401.79909375 |
transcript.pyannote[141].speaker |
SPEAKER_06 |
transcript.pyannote[141].start |
2401.79909375 |
transcript.pyannote[141].end |
2401.81596875 |
transcript.pyannote[142].speaker |
SPEAKER_06 |
transcript.pyannote[142].start |
2402.49096875 |
transcript.pyannote[142].end |
2422.75784375 |
transcript.pyannote[143].speaker |
SPEAKER_06 |
transcript.pyannote[143].start |
2422.85909375 |
transcript.pyannote[143].end |
2425.06971875 |
transcript.pyannote[144].speaker |
SPEAKER_06 |
transcript.pyannote[144].start |
2425.20471875 |
transcript.pyannote[144].end |
2429.33909375 |
transcript.pyannote[145].speaker |
SPEAKER_06 |
transcript.pyannote[145].start |
2429.49096875 |
transcript.pyannote[145].end |
2431.02659375 |
transcript.pyannote[146].speaker |
SPEAKER_06 |
transcript.pyannote[146].start |
2431.24596875 |
transcript.pyannote[146].end |
2434.62096875 |
transcript.pyannote[147].speaker |
SPEAKER_05 |
transcript.pyannote[147].start |
2436.83159375 |
transcript.pyannote[147].end |
2437.47284375 |
transcript.pyannote[148].speaker |
SPEAKER_05 |
transcript.pyannote[148].start |
2437.94534375 |
transcript.pyannote[148].end |
2439.27846875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
2443.76721875 |
transcript.pyannote[149].end |
2449.20096875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
2449.97721875 |
transcript.pyannote[150].end |
2450.73659375 |
transcript.pyannote[151].speaker |
SPEAKER_06 |
transcript.pyannote[151].start |
2451.96846875 |
transcript.pyannote[151].end |
2452.81221875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
2454.01034375 |
transcript.pyannote[152].end |
2455.29284375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
2456.11971875 |
transcript.pyannote[153].end |
2457.26721875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
2458.00971875 |
transcript.pyannote[154].end |
2461.48596875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
2462.05971875 |
transcript.pyannote[155].end |
2462.44784375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
2463.94971875 |
transcript.pyannote[156].end |
2470.76721875 |
transcript.pyannote[157].speaker |
SPEAKER_11 |
transcript.pyannote[157].start |
2471.08784375 |
transcript.pyannote[157].end |
2473.24784375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
2472.30284375 |
transcript.pyannote[158].end |
2473.46721875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
2474.09159375 |
transcript.pyannote[159].end |
2474.74971875 |
transcript.pyannote[160].speaker |
SPEAKER_11 |
transcript.pyannote[160].start |
2474.88471875 |
transcript.pyannote[160].end |
2475.32346875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
2475.52596875 |
transcript.pyannote[161].end |
2478.02346875 |
transcript.pyannote[162].speaker |
SPEAKER_11 |
transcript.pyannote[162].start |
2476.21784375 |
transcript.pyannote[162].end |
2476.35284375 |
transcript.pyannote[163].speaker |
SPEAKER_11 |
transcript.pyannote[163].start |
2478.71534375 |
transcript.pyannote[163].end |
2479.18784375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
2479.18784375 |
transcript.pyannote[164].end |
2479.81221875 |
transcript.pyannote[165].speaker |
SPEAKER_11 |
transcript.pyannote[165].start |
2479.81221875 |
transcript.pyannote[165].end |
2482.49534375 |
transcript.pyannote[166].speaker |
SPEAKER_11 |
transcript.pyannote[166].start |
2483.17034375 |
transcript.pyannote[166].end |
2485.00971875 |
transcript.pyannote[167].speaker |
SPEAKER_11 |
transcript.pyannote[167].start |
2485.70159375 |
transcript.pyannote[167].end |
2487.76034375 |
transcript.pyannote[168].speaker |
SPEAKER_11 |
transcript.pyannote[168].start |
2487.91221875 |
transcript.pyannote[168].end |
2490.40971875 |
transcript.pyannote[169].speaker |
SPEAKER_11 |
transcript.pyannote[169].start |
2490.51096875 |
transcript.pyannote[169].end |
2493.53159375 |
transcript.pyannote[170].speaker |
SPEAKER_11 |
transcript.pyannote[170].start |
2493.78471875 |
transcript.pyannote[170].end |
2501.04096875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
2501.04096875 |
transcript.pyannote[171].end |
2510.06909375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
2510.25471875 |
transcript.pyannote[172].end |
2511.52034375 |
transcript.pyannote[173].speaker |
SPEAKER_11 |
transcript.pyannote[173].start |
2511.52034375 |
transcript.pyannote[173].end |
2519.08034375 |
transcript.pyannote[174].speaker |
SPEAKER_21 |
transcript.pyannote[174].start |
2519.08034375 |
transcript.pyannote[174].end |
2519.14784375 |
transcript.pyannote[175].speaker |
SPEAKER_11 |
transcript.pyannote[175].start |
2519.14784375 |
transcript.pyannote[175].end |
2519.21534375 |
transcript.pyannote[176].speaker |
SPEAKER_11 |
transcript.pyannote[176].start |
2519.45159375 |
transcript.pyannote[176].end |
2521.44284375 |
transcript.pyannote[177].speaker |
SPEAKER_11 |
transcript.pyannote[177].start |
2522.47221875 |
transcript.pyannote[177].end |
2533.89659375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
2532.59721875 |
transcript.pyannote[178].end |
2534.99346875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
2535.93846875 |
transcript.pyannote[179].end |
2539.16159375 |
transcript.pyannote[180].speaker |
SPEAKER_11 |
transcript.pyannote[180].start |
2539.53284375 |
transcript.pyannote[180].end |
2545.99596875 |
transcript.pyannote[181].speaker |
SPEAKER_11 |
transcript.pyannote[181].start |
2546.38409375 |
transcript.pyannote[181].end |
2551.49721875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
2551.59846875 |
transcript.pyannote[182].end |
2557.35284375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
2557.67346875 |
transcript.pyannote[183].end |
2560.50846875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
2561.35221875 |
transcript.pyannote[184].end |
2564.49096875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
2564.52471875 |
transcript.pyannote[185].end |
2567.20784375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
2567.62971875 |
transcript.pyannote[186].end |
2569.84034375 |
transcript.pyannote[187].speaker |
SPEAKER_11 |
transcript.pyannote[187].start |
2570.16096875 |
transcript.pyannote[187].end |
2573.26596875 |
transcript.pyannote[188].speaker |
SPEAKER_11 |
transcript.pyannote[188].start |
2573.80596875 |
transcript.pyannote[188].end |
2589.14534375 |
transcript.pyannote[189].speaker |
SPEAKER_11 |
transcript.pyannote[189].start |
2589.68534375 |
transcript.pyannote[189].end |
2590.66409375 |
transcript.pyannote[190].speaker |
SPEAKER_11 |
transcript.pyannote[190].start |
2590.93409375 |
transcript.pyannote[190].end |
2592.38534375 |
transcript.pyannote[191].speaker |
SPEAKER_11 |
transcript.pyannote[191].start |
2592.90846875 |
transcript.pyannote[191].end |
2607.82596875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
2607.45471875 |
transcript.pyannote[192].end |
2609.86784375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
2610.34034375 |
transcript.pyannote[193].end |
2616.97221875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
2617.98471875 |
transcript.pyannote[194].end |
2619.58784375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
2620.16159375 |
transcript.pyannote[195].end |
2623.73909375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
2623.80659375 |
transcript.pyannote[196].end |
2624.41409375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
2625.02159375 |
transcript.pyannote[197].end |
2625.59534375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
2626.40534375 |
transcript.pyannote[198].end |
2627.82284375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
2628.26159375 |
transcript.pyannote[199].end |
2628.97034375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
2629.83096875 |
transcript.pyannote[200].end |
2633.69534375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
2634.57284375 |
transcript.pyannote[201].end |
2637.20534375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
2637.61034375 |
transcript.pyannote[202].end |
2638.18409375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
2639.09534375 |
transcript.pyannote[203].end |
2641.23846875 |
transcript.pyannote[204].speaker |
SPEAKER_21 |
transcript.pyannote[204].start |
2639.48346875 |
transcript.pyannote[204].end |
2639.50034375 |
transcript.pyannote[205].speaker |
SPEAKER_11 |
transcript.pyannote[205].start |
2639.50034375 |
transcript.pyannote[205].end |
2640.68159375 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
2642.14971875 |
transcript.pyannote[206].end |
2644.02284375 |
transcript.pyannote[207].speaker |
SPEAKER_11 |
transcript.pyannote[207].start |
2642.20034375 |
transcript.pyannote[207].end |
2643.71909375 |
transcript.pyannote[208].speaker |
SPEAKER_11 |
transcript.pyannote[208].start |
2644.86659375 |
transcript.pyannote[208].end |
2664.44159375 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
2663.37846875 |
transcript.pyannote[209].end |
2665.40346875 |
transcript.pyannote[210].speaker |
SPEAKER_11 |
transcript.pyannote[210].start |
2664.99846875 |
transcript.pyannote[210].end |
2684.35409375 |
transcript.pyannote[211].speaker |
SPEAKER_11 |
transcript.pyannote[211].start |
2684.60721875 |
transcript.pyannote[211].end |
2688.52221875 |
transcript.pyannote[212].speaker |
SPEAKER_21 |
transcript.pyannote[212].start |
2687.59409375 |
transcript.pyannote[212].end |
2687.61096875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
2687.61096875 |
transcript.pyannote[213].end |
2688.04971875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
2689.28159375 |
transcript.pyannote[214].end |
2702.61284375 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
2703.16971875 |
transcript.pyannote[215].end |
2704.16534375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
2705.12721875 |
transcript.pyannote[216].end |
2708.43471875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
2708.58659375 |
transcript.pyannote[217].end |
2715.47159375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
2716.06221875 |
transcript.pyannote[218].end |
2716.58534375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
2716.99034375 |
transcript.pyannote[219].end |
2721.39471875 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
2721.90096875 |
transcript.pyannote[220].end |
2728.19534375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
2728.29659375 |
transcript.pyannote[221].end |
2731.80659375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
2731.90784375 |
transcript.pyannote[222].end |
2733.40971875 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
2733.96659375 |
transcript.pyannote[223].end |
2734.69221875 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
2735.55284375 |
transcript.pyannote[224].end |
2740.95284375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
2741.76284375 |
transcript.pyannote[225].end |
2745.67784375 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
2746.08284375 |
transcript.pyannote[226].end |
2746.99409375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
2747.77034375 |
transcript.pyannote[227].end |
2749.18784375 |
transcript.pyannote[228].speaker |
SPEAKER_11 |
transcript.pyannote[228].start |
2749.40721875 |
transcript.pyannote[228].end |
2749.55909375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
2750.53784375 |
transcript.pyannote[229].end |
2750.87534375 |
transcript.pyannote[230].speaker |
SPEAKER_11 |
transcript.pyannote[230].start |
2751.56721875 |
transcript.pyannote[230].end |
2751.80346875 |
transcript.pyannote[231].speaker |
SPEAKER_11 |
transcript.pyannote[231].start |
2752.34346875 |
transcript.pyannote[231].end |
2753.54159375 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
2753.94659375 |
transcript.pyannote[232].end |
2754.18284375 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
2754.50346875 |
transcript.pyannote[233].end |
2756.02221875 |
transcript.pyannote[234].speaker |
SPEAKER_11 |
transcript.pyannote[234].start |
2758.46909375 |
transcript.pyannote[234].end |
2779.32659375 |
transcript.pyannote[235].speaker |
SPEAKER_21 |
transcript.pyannote[235].start |
2764.86471875 |
transcript.pyannote[235].end |
2767.37909375 |
transcript.pyannote[236].speaker |
SPEAKER_21 |
transcript.pyannote[236].start |
2772.52596875 |
transcript.pyannote[236].end |
2773.28534375 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
2779.32659375 |
transcript.pyannote[237].end |
2779.59659375 |
transcript.pyannote[238].speaker |
SPEAKER_11 |
transcript.pyannote[238].start |
2779.59659375 |
transcript.pyannote[238].end |
2782.34721875 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
2781.55409375 |
transcript.pyannote[239].end |
2793.65346875 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
2794.29471875 |
transcript.pyannote[240].end |
2795.79659375 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
2796.50534375 |
transcript.pyannote[241].end |
2798.93534375 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
2799.10409375 |
transcript.pyannote[242].end |
2806.34346875 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
2806.68096875 |
transcript.pyannote[243].end |
2810.56221875 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
2811.16971875 |
transcript.pyannote[244].end |
2815.03409375 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
2815.08471875 |
transcript.pyannote[245].end |
2818.51034375 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
2819.59034375 |
transcript.pyannote[246].end |
2823.43784375 |
transcript.pyannote[247].speaker |
SPEAKER_21 |
transcript.pyannote[247].start |
2820.51846875 |
transcript.pyannote[247].end |
2820.85596875 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
2823.94409375 |
transcript.pyannote[248].end |
2825.02409375 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
2826.01971875 |
transcript.pyannote[249].end |
2828.88846875 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
2829.20909375 |
transcript.pyannote[250].end |
2831.99346875 |
transcript.pyannote[251].speaker |
SPEAKER_00 |
transcript.pyannote[251].start |
2832.80346875 |
transcript.pyannote[251].end |
2839.45221875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
2839.97534375 |
transcript.pyannote[252].end |
2841.84846875 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
2842.69221875 |
transcript.pyannote[253].end |
2849.59409375 |
transcript.pyannote[254].speaker |
SPEAKER_00 |
transcript.pyannote[254].start |
2850.15096875 |
transcript.pyannote[254].end |
2850.89346875 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
2851.33221875 |
transcript.pyannote[255].end |
2857.28909375 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
2857.98096875 |
transcript.pyannote[256].end |
2859.88784375 |
transcript.pyannote[257].speaker |
SPEAKER_00 |
transcript.pyannote[257].start |
2860.68096875 |
transcript.pyannote[257].end |
2862.41909375 |
transcript.pyannote[258].speaker |
SPEAKER_00 |
transcript.pyannote[258].start |
2863.70159375 |
transcript.pyannote[258].end |
2879.95221875 |
transcript.pyannote[259].speaker |
SPEAKER_00 |
transcript.pyannote[259].start |
2881.09971875 |
transcript.pyannote[259].end |
2883.49596875 |
transcript.pyannote[260].speaker |
SPEAKER_00 |
transcript.pyannote[260].start |
2884.06971875 |
transcript.pyannote[260].end |
2886.95534375 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
2887.41096875 |
transcript.pyannote[261].end |
2890.21221875 |
transcript.pyannote[262].speaker |
SPEAKER_00 |
transcript.pyannote[262].start |
2890.66784375 |
transcript.pyannote[262].end |
2891.24159375 |
transcript.pyannote[263].speaker |
SPEAKER_00 |
transcript.pyannote[263].start |
2891.62971875 |
transcript.pyannote[263].end |
2894.16096875 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
2894.65034375 |
transcript.pyannote[264].end |
2898.75096875 |
transcript.pyannote[265].speaker |
SPEAKER_11 |
transcript.pyannote[265].start |
2898.27846875 |
transcript.pyannote[265].end |
2905.38284375 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
2901.75471875 |
transcript.pyannote[266].end |
2902.07534375 |
transcript.pyannote[267].speaker |
SPEAKER_11 |
transcript.pyannote[267].start |
2905.48409375 |
transcript.pyannote[267].end |
2907.15471875 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
2907.15471875 |
transcript.pyannote[268].end |
2907.20534375 |
transcript.pyannote[269].speaker |
SPEAKER_11 |
transcript.pyannote[269].start |
2907.50909375 |
transcript.pyannote[269].end |
2908.03221875 |
transcript.pyannote[270].speaker |
SPEAKER_00 |
transcript.pyannote[270].start |
2908.03221875 |
transcript.pyannote[270].end |
2910.20909375 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
2910.96846875 |
transcript.pyannote[271].end |
2913.16221875 |
transcript.pyannote[272].speaker |
SPEAKER_00 |
transcript.pyannote[272].start |
2913.85409375 |
transcript.pyannote[272].end |
2915.52471875 |
transcript.pyannote[273].speaker |
SPEAKER_00 |
transcript.pyannote[273].start |
2916.41909375 |
transcript.pyannote[273].end |
2922.59534375 |
transcript.pyannote[274].speaker |
SPEAKER_00 |
transcript.pyannote[274].start |
2923.35471875 |
transcript.pyannote[274].end |
2924.38409375 |
transcript.pyannote[275].speaker |
SPEAKER_11 |
transcript.pyannote[275].start |
2924.38409375 |
transcript.pyannote[275].end |
2926.54409375 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
2926.20659375 |
transcript.pyannote[276].end |
2928.95721875 |
transcript.pyannote[277].speaker |
SPEAKER_00 |
transcript.pyannote[277].start |
2930.17221875 |
transcript.pyannote[277].end |
2931.43784375 |
transcript.pyannote[278].speaker |
SPEAKER_00 |
transcript.pyannote[278].start |
2931.65721875 |
transcript.pyannote[278].end |
2933.20971875 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
2934.49221875 |
transcript.pyannote[279].end |
2936.78721875 |
transcript.pyannote[280].speaker |
SPEAKER_00 |
transcript.pyannote[280].start |
2937.39471875 |
transcript.pyannote[280].end |
2938.47471875 |
transcript.pyannote[281].speaker |
SPEAKER_00 |
transcript.pyannote[281].start |
2938.74471875 |
transcript.pyannote[281].end |
2941.39409375 |
transcript.pyannote[282].speaker |
SPEAKER_00 |
transcript.pyannote[282].start |
2942.06909375 |
transcript.pyannote[282].end |
2942.92971875 |
transcript.pyannote[283].speaker |
SPEAKER_00 |
transcript.pyannote[283].start |
2946.72659375 |
transcript.pyannote[283].end |
2958.03284375 |
transcript.pyannote[284].speaker |
SPEAKER_00 |
transcript.pyannote[284].start |
2958.58971875 |
transcript.pyannote[284].end |
2964.85034375 |
transcript.pyannote[285].speaker |
SPEAKER_21 |
transcript.pyannote[285].start |
2964.81659375 |
transcript.pyannote[285].end |
2965.28909375 |
transcript.pyannote[286].speaker |
SPEAKER_00 |
transcript.pyannote[286].start |
2965.17096875 |
transcript.pyannote[286].end |
2969.50784375 |
transcript.pyannote[287].speaker |
SPEAKER_00 |
transcript.pyannote[287].start |
2970.01409375 |
transcript.pyannote[287].end |
2973.72659375 |
transcript.pyannote[288].speaker |
SPEAKER_00 |
transcript.pyannote[288].start |
2974.31721875 |
transcript.pyannote[288].end |
2980.39221875 |
transcript.pyannote[289].speaker |
SPEAKER_11 |
transcript.pyannote[289].start |
2975.56596875 |
transcript.pyannote[289].end |
2976.22409375 |
transcript.pyannote[290].speaker |
SPEAKER_06 |
transcript.pyannote[290].start |
2976.22409375 |
transcript.pyannote[290].end |
2976.32534375 |
transcript.pyannote[291].speaker |
SPEAKER_11 |
transcript.pyannote[291].start |
2976.32534375 |
transcript.pyannote[291].end |
2976.42659375 |
transcript.pyannote[292].speaker |
SPEAKER_11 |
transcript.pyannote[292].start |
2980.39221875 |
transcript.pyannote[292].end |
2981.38784375 |
transcript.pyannote[293].speaker |
SPEAKER_00 |
transcript.pyannote[293].start |
2980.56096875 |
transcript.pyannote[293].end |
2980.64534375 |
transcript.pyannote[294].speaker |
SPEAKER_06 |
transcript.pyannote[294].start |
2983.69971875 |
transcript.pyannote[294].end |
2986.29846875 |
transcript.pyannote[295].speaker |
SPEAKER_06 |
transcript.pyannote[295].start |
2987.73284375 |
transcript.pyannote[295].end |
2990.41596875 |
transcript.pyannote[296].speaker |
SPEAKER_03 |
transcript.pyannote[296].start |
2998.78596875 |
transcript.pyannote[296].end |
3003.35909375 |
transcript.pyannote[297].speaker |
SPEAKER_03 |
transcript.pyannote[297].start |
3004.00034375 |
transcript.pyannote[297].end |
3005.14784375 |
transcript.pyannote[298].speaker |
SPEAKER_03 |
transcript.pyannote[298].start |
3009.24846875 |
transcript.pyannote[298].end |
3009.85596875 |
transcript.pyannote[299].speaker |
SPEAKER_03 |
transcript.pyannote[299].start |
3010.37909375 |
transcript.pyannote[299].end |
3010.64909375 |
transcript.pyannote[300].speaker |
SPEAKER_03 |
transcript.pyannote[300].start |
3011.22284375 |
transcript.pyannote[300].end |
3011.86409375 |
transcript.pyannote[301].speaker |
SPEAKER_03 |
transcript.pyannote[301].start |
3012.21846875 |
transcript.pyannote[301].end |
3019.12034375 |
transcript.pyannote[302].speaker |
SPEAKER_03 |
transcript.pyannote[302].start |
3019.50846875 |
transcript.pyannote[302].end |
3027.67596875 |
transcript.pyannote[303].speaker |
SPEAKER_03 |
transcript.pyannote[303].start |
3028.09784375 |
transcript.pyannote[303].end |
3033.27846875 |
transcript.pyannote[304].speaker |
SPEAKER_03 |
transcript.pyannote[304].start |
3033.41346875 |
transcript.pyannote[304].end |
3037.02471875 |
transcript.pyannote[305].speaker |
SPEAKER_03 |
transcript.pyannote[305].start |
3037.32846875 |
transcript.pyannote[305].end |
3040.28159375 |
transcript.pyannote[306].speaker |
SPEAKER_03 |
transcript.pyannote[306].start |
3040.53471875 |
transcript.pyannote[306].end |
3043.45409375 |
transcript.pyannote[307].speaker |
SPEAKER_21 |
transcript.pyannote[307].start |
3043.79159375 |
transcript.pyannote[307].end |
3043.84221875 |
transcript.pyannote[308].speaker |
SPEAKER_03 |
transcript.pyannote[308].start |
3044.56784375 |
transcript.pyannote[308].end |
3048.41534375 |
transcript.pyannote[309].speaker |
SPEAKER_11 |
transcript.pyannote[309].start |
3049.05659375 |
transcript.pyannote[309].end |
3049.07346875 |
transcript.pyannote[310].speaker |
SPEAKER_03 |
transcript.pyannote[310].start |
3049.07346875 |
transcript.pyannote[310].end |
3049.36034375 |
transcript.pyannote[311].speaker |
SPEAKER_03 |
transcript.pyannote[311].start |
3049.98471875 |
transcript.pyannote[311].end |
3051.25034375 |
transcript.pyannote[312].speaker |
SPEAKER_11 |
transcript.pyannote[312].start |
3051.25034375 |
transcript.pyannote[312].end |
3051.90846875 |
transcript.pyannote[313].speaker |
SPEAKER_24 |
transcript.pyannote[313].start |
3052.43159375 |
transcript.pyannote[313].end |
3072.44534375 |
transcript.pyannote[314].speaker |
SPEAKER_03 |
transcript.pyannote[314].start |
3072.73221875 |
transcript.pyannote[314].end |
3074.26784375 |
transcript.pyannote[315].speaker |
SPEAKER_03 |
transcript.pyannote[315].start |
3074.50409375 |
transcript.pyannote[315].end |
3084.37596875 |
transcript.pyannote[316].speaker |
SPEAKER_27 |
transcript.pyannote[316].start |
3076.14096875 |
transcript.pyannote[316].end |
3076.37721875 |
transcript.pyannote[317].speaker |
SPEAKER_03 |
transcript.pyannote[317].start |
3084.86534375 |
transcript.pyannote[317].end |
3090.33284375 |
transcript.pyannote[318].speaker |
SPEAKER_03 |
transcript.pyannote[318].start |
3090.60284375 |
transcript.pyannote[318].end |
3093.82596875 |
transcript.pyannote[319].speaker |
SPEAKER_03 |
transcript.pyannote[319].start |
3094.23096875 |
transcript.pyannote[319].end |
3097.40346875 |
transcript.pyannote[320].speaker |
SPEAKER_03 |
transcript.pyannote[320].start |
3097.82534375 |
transcript.pyannote[320].end |
3100.64346875 |
transcript.pyannote[321].speaker |
SPEAKER_03 |
transcript.pyannote[321].start |
3101.08221875 |
transcript.pyannote[321].end |
3101.77409375 |
transcript.pyannote[322].speaker |
SPEAKER_03 |
transcript.pyannote[322].start |
3102.31409375 |
transcript.pyannote[322].end |
3103.41096875 |
transcript.pyannote[323].speaker |
SPEAKER_03 |
transcript.pyannote[323].start |
3104.81159375 |
transcript.pyannote[323].end |
3109.40159375 |
transcript.pyannote[324].speaker |
SPEAKER_03 |
transcript.pyannote[324].start |
3109.70534375 |
transcript.pyannote[324].end |
3115.35846875 |
transcript.pyannote[325].speaker |
SPEAKER_00 |
transcript.pyannote[325].start |
3109.73909375 |
transcript.pyannote[325].end |
3110.12721875 |
transcript.pyannote[326].speaker |
SPEAKER_03 |
transcript.pyannote[326].start |
3115.83096875 |
transcript.pyannote[326].end |
3118.54784375 |
transcript.pyannote[327].speaker |
SPEAKER_00 |
transcript.pyannote[327].start |
3116.38784375 |
transcript.pyannote[327].end |
3116.69159375 |
transcript.pyannote[328].speaker |
SPEAKER_03 |
transcript.pyannote[328].start |
3119.37471875 |
transcript.pyannote[328].end |
3126.96846875 |
transcript.pyannote[329].speaker |
SPEAKER_11 |
transcript.pyannote[329].start |
3125.82096875 |
transcript.pyannote[329].end |
3125.98971875 |
transcript.pyannote[330].speaker |
SPEAKER_11 |
transcript.pyannote[330].start |
3127.59284375 |
transcript.pyannote[330].end |
3132.13221875 |
transcript.pyannote[331].speaker |
SPEAKER_11 |
transcript.pyannote[331].start |
3132.55409375 |
transcript.pyannote[331].end |
3136.30034375 |
transcript.pyannote[332].speaker |
SPEAKER_11 |
transcript.pyannote[332].start |
3136.51971875 |
transcript.pyannote[332].end |
3138.29159375 |
transcript.pyannote[333].speaker |
SPEAKER_11 |
transcript.pyannote[333].start |
3138.42659375 |
transcript.pyannote[333].end |
3161.84909375 |
transcript.pyannote[334].speaker |
SPEAKER_11 |
transcript.pyannote[334].start |
3161.96721875 |
transcript.pyannote[334].end |
3166.48971875 |
transcript.pyannote[335].speaker |
SPEAKER_11 |
transcript.pyannote[335].start |
3166.69221875 |
transcript.pyannote[335].end |
3170.86034375 |
transcript.pyannote[336].speaker |
SPEAKER_11 |
transcript.pyannote[336].start |
3170.96159375 |
transcript.pyannote[336].end |
3172.95284375 |
transcript.pyannote[337].speaker |
SPEAKER_11 |
transcript.pyannote[337].start |
3173.30721875 |
transcript.pyannote[337].end |
3176.83409375 |
transcript.pyannote[338].speaker |
SPEAKER_11 |
transcript.pyannote[338].start |
3176.88471875 |
transcript.pyannote[338].end |
3180.78284375 |
transcript.pyannote[339].speaker |
SPEAKER_11 |
transcript.pyannote[339].start |
3181.10346875 |
transcript.pyannote[339].end |
3186.13221875 |
transcript.pyannote[340].speaker |
SPEAKER_11 |
transcript.pyannote[340].start |
3186.43596875 |
transcript.pyannote[340].end |
3191.24534375 |
transcript.pyannote[341].speaker |
SPEAKER_11 |
transcript.pyannote[341].start |
3191.65034375 |
transcript.pyannote[341].end |
3193.65846875 |
transcript.pyannote[342].speaker |
SPEAKER_11 |
transcript.pyannote[342].start |
3194.02971875 |
transcript.pyannote[342].end |
3198.70409375 |
transcript.pyannote[343].speaker |
SPEAKER_11 |
transcript.pyannote[343].start |
3199.05846875 |
transcript.pyannote[343].end |
3200.17221875 |
transcript.pyannote[344].speaker |
SPEAKER_11 |
transcript.pyannote[344].start |
3200.76284375 |
transcript.pyannote[344].end |
3202.83846875 |
transcript.pyannote[345].speaker |
SPEAKER_11 |
transcript.pyannote[345].start |
3203.22659375 |
transcript.pyannote[345].end |
3206.11221875 |
transcript.pyannote[346].speaker |
SPEAKER_11 |
transcript.pyannote[346].start |
3206.60159375 |
transcript.pyannote[346].end |
3212.20409375 |
transcript.pyannote[347].speaker |
SPEAKER_11 |
transcript.pyannote[347].start |
3213.28409375 |
transcript.pyannote[347].end |
3215.19096875 |
transcript.pyannote[348].speaker |
SPEAKER_11 |
transcript.pyannote[348].start |
3216.16971875 |
transcript.pyannote[348].end |
3216.79409375 |
transcript.pyannote[349].speaker |
SPEAKER_11 |
transcript.pyannote[349].start |
3217.24971875 |
transcript.pyannote[349].end |
3224.01659375 |
transcript.pyannote[350].speaker |
SPEAKER_11 |
transcript.pyannote[350].start |
3224.18534375 |
transcript.pyannote[350].end |
3228.50534375 |
transcript.pyannote[351].speaker |
SPEAKER_03 |
transcript.pyannote[351].start |
3225.90659375 |
transcript.pyannote[351].end |
3225.94034375 |
transcript.pyannote[352].speaker |
SPEAKER_11 |
transcript.pyannote[352].start |
3228.60659375 |
transcript.pyannote[352].end |
3230.90159375 |
transcript.pyannote[353].speaker |
SPEAKER_03 |
transcript.pyannote[353].start |
3230.90159375 |
transcript.pyannote[353].end |
3237.02721875 |
transcript.pyannote[354].speaker |
SPEAKER_11 |
transcript.pyannote[354].start |
3234.91784375 |
transcript.pyannote[354].end |
3235.98096875 |
transcript.pyannote[355].speaker |
SPEAKER_08 |
transcript.pyannote[355].start |
3235.98096875 |
transcript.pyannote[355].end |
3235.99784375 |
transcript.pyannote[356].speaker |
SPEAKER_03 |
transcript.pyannote[356].start |
3238.84971875 |
transcript.pyannote[356].end |
3247.30409375 |
transcript.pyannote[357].speaker |
SPEAKER_03 |
transcript.pyannote[357].start |
3248.02971875 |
transcript.pyannote[357].end |
3253.17659375 |
transcript.pyannote[358].speaker |
SPEAKER_03 |
transcript.pyannote[358].start |
3253.44659375 |
transcript.pyannote[358].end |
3260.29784375 |
transcript.pyannote[359].speaker |
SPEAKER_28 |
transcript.pyannote[359].start |
3258.62721875 |
transcript.pyannote[359].end |
3259.03221875 |
transcript.pyannote[360].speaker |
SPEAKER_03 |
transcript.pyannote[360].start |
3260.87159375 |
transcript.pyannote[360].end |
3279.06284375 |
transcript.pyannote[361].speaker |
SPEAKER_03 |
transcript.pyannote[361].start |
3279.40034375 |
transcript.pyannote[361].end |
3289.17096875 |
transcript.pyannote[362].speaker |
SPEAKER_03 |
transcript.pyannote[362].start |
3289.50846875 |
transcript.pyannote[362].end |
3302.43471875 |
transcript.pyannote[363].speaker |
SPEAKER_03 |
transcript.pyannote[363].start |
3303.07596875 |
transcript.pyannote[363].end |
3310.23096875 |
transcript.pyannote[364].speaker |
SPEAKER_28 |
transcript.pyannote[364].start |
3305.01659375 |
transcript.pyannote[364].end |
3305.33721875 |
transcript.pyannote[365].speaker |
SPEAKER_03 |
transcript.pyannote[365].start |
3310.56846875 |
transcript.pyannote[365].end |
3315.54659375 |
transcript.pyannote[366].speaker |
SPEAKER_03 |
transcript.pyannote[366].start |
3316.20471875 |
transcript.pyannote[366].end |
3317.08221875 |
transcript.pyannote[367].speaker |
SPEAKER_03 |
transcript.pyannote[367].start |
3317.50409375 |
transcript.pyannote[367].end |
3318.88784375 |
transcript.pyannote[368].speaker |
SPEAKER_03 |
transcript.pyannote[368].start |
3319.61346875 |
transcript.pyannote[368].end |
3322.09409375 |
transcript.pyannote[369].speaker |
SPEAKER_03 |
transcript.pyannote[369].start |
3322.85346875 |
transcript.pyannote[369].end |
3324.54096875 |
transcript.pyannote[370].speaker |
SPEAKER_03 |
transcript.pyannote[370].start |
3324.82784375 |
transcript.pyannote[370].end |
3342.73221875 |
transcript.pyannote[371].speaker |
SPEAKER_00 |
transcript.pyannote[371].start |
3330.12659375 |
transcript.pyannote[371].end |
3330.14346875 |
transcript.pyannote[372].speaker |
SPEAKER_09 |
transcript.pyannote[372].start |
3330.14346875 |
transcript.pyannote[372].end |
3330.37971875 |
transcript.pyannote[373].speaker |
SPEAKER_00 |
transcript.pyannote[373].start |
3330.37971875 |
transcript.pyannote[373].end |
3330.58221875 |
transcript.pyannote[374].speaker |
SPEAKER_11 |
transcript.pyannote[374].start |
3342.73221875 |
transcript.pyannote[374].end |
3350.19096875 |
transcript.pyannote[375].speaker |
SPEAKER_11 |
transcript.pyannote[375].start |
3350.52846875 |
transcript.pyannote[375].end |
3350.69721875 |
transcript.pyannote[376].speaker |
SPEAKER_11 |
transcript.pyannote[376].start |
3351.01784375 |
transcript.pyannote[376].end |
3356.09721875 |
transcript.pyannote[377].speaker |
SPEAKER_11 |
transcript.pyannote[377].start |
3356.24909375 |
transcript.pyannote[377].end |
3356.90721875 |
transcript.pyannote[378].speaker |
SPEAKER_11 |
transcript.pyannote[378].start |
3357.22784375 |
transcript.pyannote[378].end |
3370.22159375 |
transcript.pyannote[379].speaker |
SPEAKER_03 |
transcript.pyannote[379].start |
3367.69034375 |
transcript.pyannote[379].end |
3382.23659375 |
transcript.pyannote[380].speaker |
SPEAKER_11 |
transcript.pyannote[380].start |
3372.01034375 |
transcript.pyannote[380].end |
3374.00159375 |
transcript.pyannote[381].speaker |
SPEAKER_21 |
transcript.pyannote[381].start |
3382.27034375 |
transcript.pyannote[381].end |
3382.28721875 |
transcript.pyannote[382].speaker |
SPEAKER_03 |
transcript.pyannote[382].start |
3382.89471875 |
transcript.pyannote[382].end |
3383.82284375 |
transcript.pyannote[383].speaker |
SPEAKER_11 |
transcript.pyannote[383].start |
3383.82284375 |
transcript.pyannote[383].end |
3383.90721875 |
transcript.pyannote[384].speaker |
SPEAKER_03 |
transcript.pyannote[384].start |
3383.90721875 |
transcript.pyannote[384].end |
3383.94096875 |
transcript.pyannote[385].speaker |
SPEAKER_11 |
transcript.pyannote[385].start |
3383.94096875 |
transcript.pyannote[385].end |
3384.80159375 |
transcript.pyannote[386].speaker |
SPEAKER_11 |
transcript.pyannote[386].start |
3385.29096875 |
transcript.pyannote[386].end |
3389.23971875 |
transcript.pyannote[387].speaker |
SPEAKER_21 |
transcript.pyannote[387].start |
3388.54784375 |
transcript.pyannote[387].end |
3389.03721875 |
transcript.pyannote[388].speaker |
SPEAKER_11 |
transcript.pyannote[388].start |
3389.49284375 |
transcript.pyannote[388].end |
3389.74596875 |
transcript.pyannote[389].speaker |
SPEAKER_11 |
transcript.pyannote[389].start |
3390.25221875 |
transcript.pyannote[389].end |
3393.12096875 |
transcript.pyannote[390].speaker |
SPEAKER_11 |
transcript.pyannote[390].start |
3393.67784375 |
transcript.pyannote[390].end |
3394.55534375 |
transcript.pyannote[391].speaker |
SPEAKER_11 |
transcript.pyannote[391].start |
3394.77471875 |
transcript.pyannote[391].end |
3395.73659375 |
transcript.pyannote[392].speaker |
SPEAKER_11 |
transcript.pyannote[392].start |
3395.78721875 |
transcript.pyannote[392].end |
3399.41534375 |
transcript.pyannote[393].speaker |
SPEAKER_11 |
transcript.pyannote[393].start |
3399.44909375 |
transcript.pyannote[393].end |
3400.52909375 |
transcript.pyannote[394].speaker |
SPEAKER_11 |
transcript.pyannote[394].start |
3400.83284375 |
transcript.pyannote[394].end |
3405.77721875 |
transcript.pyannote[395].speaker |
SPEAKER_00 |
transcript.pyannote[395].start |
3403.85346875 |
transcript.pyannote[395].end |
3403.95471875 |
transcript.pyannote[396].speaker |
SPEAKER_21 |
transcript.pyannote[396].start |
3403.95471875 |
transcript.pyannote[396].end |
3403.97159375 |
transcript.pyannote[397].speaker |
SPEAKER_00 |
transcript.pyannote[397].start |
3403.97159375 |
transcript.pyannote[397].end |
3404.10659375 |
transcript.pyannote[398].speaker |
SPEAKER_11 |
transcript.pyannote[398].start |
3405.96284375 |
transcript.pyannote[398].end |
3406.04721875 |
transcript.pyannote[399].speaker |
SPEAKER_11 |
transcript.pyannote[399].start |
3406.06409375 |
transcript.pyannote[399].end |
3408.67971875 |
transcript.pyannote[400].speaker |
SPEAKER_11 |
transcript.pyannote[400].start |
3408.88221875 |
transcript.pyannote[400].end |
3413.57346875 |
transcript.pyannote[401].speaker |
SPEAKER_03 |
transcript.pyannote[401].start |
3413.57346875 |
transcript.pyannote[401].end |
3413.65784375 |
transcript.pyannote[402].speaker |
SPEAKER_03 |
transcript.pyannote[402].start |
3413.80971875 |
transcript.pyannote[402].end |
3414.24846875 |
transcript.pyannote[403].speaker |
SPEAKER_03 |
transcript.pyannote[403].start |
3414.50159375 |
transcript.pyannote[403].end |
3415.51409375 |
transcript.pyannote[404].speaker |
SPEAKER_03 |
transcript.pyannote[404].start |
3416.91471875 |
transcript.pyannote[404].end |
3444.25221875 |
transcript.pyannote[405].speaker |
SPEAKER_11 |
transcript.pyannote[405].start |
3444.25221875 |
transcript.pyannote[405].end |
3444.26909375 |
transcript.pyannote[406].speaker |
SPEAKER_11 |
transcript.pyannote[406].start |
3445.45034375 |
transcript.pyannote[406].end |
3445.78784375 |
transcript.pyannote[407].speaker |
SPEAKER_11 |
transcript.pyannote[407].start |
3446.04096875 |
transcript.pyannote[407].end |
3447.17159375 |
transcript.pyannote[408].speaker |
SPEAKER_11 |
transcript.pyannote[408].start |
3448.16721875 |
transcript.pyannote[408].end |
3452.26784375 |
transcript.pyannote[409].speaker |
SPEAKER_11 |
transcript.pyannote[409].start |
3452.40284375 |
transcript.pyannote[409].end |
3454.17471875 |
transcript.pyannote[410].speaker |
SPEAKER_11 |
transcript.pyannote[410].start |
3454.56284375 |
transcript.pyannote[410].end |
3455.71034375 |
transcript.pyannote[411].speaker |
SPEAKER_11 |
transcript.pyannote[411].start |
3456.26721875 |
transcript.pyannote[411].end |
3459.62534375 |
transcript.pyannote[412].speaker |
SPEAKER_11 |
transcript.pyannote[412].start |
3459.84471875 |
transcript.pyannote[412].end |
3460.67159375 |
transcript.pyannote[413].speaker |
SPEAKER_11 |
transcript.pyannote[413].start |
3461.09346875 |
transcript.pyannote[413].end |
3461.71784375 |
transcript.pyannote[414].speaker |
SPEAKER_11 |
transcript.pyannote[414].start |
3462.15659375 |
transcript.pyannote[414].end |
3469.02471875 |
transcript.pyannote[415].speaker |
SPEAKER_03 |
transcript.pyannote[415].start |
3469.02471875 |
transcript.pyannote[415].end |
3472.02846875 |
transcript.pyannote[416].speaker |
SPEAKER_03 |
transcript.pyannote[416].start |
3473.14221875 |
transcript.pyannote[416].end |
3478.18784375 |
transcript.pyannote[417].speaker |
SPEAKER_03 |
transcript.pyannote[417].start |
3478.50846875 |
transcript.pyannote[417].end |
3480.16221875 |
transcript.pyannote[418].speaker |
SPEAKER_03 |
transcript.pyannote[418].start |
3480.48284375 |
transcript.pyannote[418].end |
3495.13034375 |
transcript.pyannote[419].speaker |
SPEAKER_02 |
transcript.pyannote[419].start |
3493.25721875 |
transcript.pyannote[419].end |
3495.56909375 |
transcript.pyannote[420].speaker |
SPEAKER_03 |
transcript.pyannote[420].start |
3495.29909375 |
transcript.pyannote[420].end |
3525.67409375 |
transcript.pyannote[421].speaker |
SPEAKER_02 |
transcript.pyannote[421].start |
3501.32346875 |
transcript.pyannote[421].end |
3501.50909375 |
transcript.pyannote[422].speaker |
SPEAKER_03 |
transcript.pyannote[422].start |
3525.77534375 |
transcript.pyannote[422].end |
3527.58096875 |
transcript.pyannote[423].speaker |
SPEAKER_03 |
transcript.pyannote[423].start |
3527.85096875 |
transcript.pyannote[423].end |
3546.90284375 |
transcript.pyannote[424].speaker |
SPEAKER_06 |
transcript.pyannote[424].start |
3543.27471875 |
transcript.pyannote[424].end |
3543.57846875 |
transcript.pyannote[425].speaker |
SPEAKER_06 |
transcript.pyannote[425].start |
3545.43471875 |
transcript.pyannote[425].end |
3545.60346875 |
transcript.pyannote[426].speaker |
SPEAKER_11 |
transcript.pyannote[426].start |
3545.60346875 |
transcript.pyannote[426].end |
3545.63721875 |
transcript.pyannote[427].speaker |
SPEAKER_06 |
transcript.pyannote[427].start |
3545.63721875 |
transcript.pyannote[427].end |
3545.72159375 |
transcript.pyannote[428].speaker |
SPEAKER_06 |
transcript.pyannote[428].start |
3548.47221875 |
transcript.pyannote[428].end |
3551.66159375 |
transcript.pyannote[429].speaker |
SPEAKER_06 |
transcript.pyannote[429].start |
3552.33659375 |
transcript.pyannote[429].end |
3555.05346875 |
transcript.pyannote[430].speaker |
SPEAKER_06 |
transcript.pyannote[430].start |
3557.98971875 |
transcript.pyannote[430].end |
3558.31034375 |
transcript.pyannote[431].speaker |
SPEAKER_07 |
transcript.pyannote[431].start |
3561.29721875 |
transcript.pyannote[431].end |
3562.25909375 |
transcript.pyannote[432].speaker |
SPEAKER_07 |
transcript.pyannote[432].start |
3563.79471875 |
transcript.pyannote[432].end |
3576.31596875 |
transcript.pyannote[433].speaker |
SPEAKER_08 |
transcript.pyannote[433].start |
3563.81159375 |
transcript.pyannote[433].end |
3564.63846875 |
transcript.pyannote[434].speaker |
SPEAKER_11 |
transcript.pyannote[434].start |
3568.04721875 |
transcript.pyannote[434].end |
3568.50284375 |
transcript.pyannote[435].speaker |
SPEAKER_00 |
transcript.pyannote[435].start |
3569.38034375 |
transcript.pyannote[435].end |
3569.39721875 |
transcript.pyannote[436].speaker |
SPEAKER_11 |
transcript.pyannote[436].start |
3569.39721875 |
transcript.pyannote[436].end |
3569.86971875 |
transcript.pyannote[437].speaker |
SPEAKER_11 |
transcript.pyannote[437].start |
3576.51846875 |
transcript.pyannote[437].end |
3583.96034375 |
transcript.pyannote[438].speaker |
SPEAKER_11 |
transcript.pyannote[438].start |
3584.61846875 |
transcript.pyannote[438].end |
3592.66784375 |
transcript.pyannote[439].speaker |
SPEAKER_07 |
transcript.pyannote[439].start |
3592.75221875 |
transcript.pyannote[439].end |
3607.68659375 |
transcript.pyannote[440].speaker |
SPEAKER_11 |
transcript.pyannote[440].start |
3597.40971875 |
transcript.pyannote[440].end |
3599.62034375 |
transcript.pyannote[441].speaker |
SPEAKER_07 |
transcript.pyannote[441].start |
3608.10846875 |
transcript.pyannote[441].end |
3615.97221875 |
transcript.pyannote[442].speaker |
SPEAKER_11 |
transcript.pyannote[442].start |
3613.72784375 |
transcript.pyannote[442].end |
3614.43659375 |
transcript.pyannote[443].speaker |
SPEAKER_11 |
transcript.pyannote[443].start |
3615.26346875 |
transcript.pyannote[443].end |
3615.65159375 |
transcript.pyannote[444].speaker |
SPEAKER_11 |
transcript.pyannote[444].start |
3615.97221875 |
transcript.pyannote[444].end |
3616.02284375 |
transcript.pyannote[445].speaker |
SPEAKER_07 |
transcript.pyannote[445].start |
3616.02284375 |
transcript.pyannote[445].end |
3617.59221875 |
transcript.pyannote[446].speaker |
SPEAKER_11 |
transcript.pyannote[446].start |
3616.44471875 |
transcript.pyannote[446].end |
3616.86659375 |
transcript.pyannote[447].speaker |
SPEAKER_11 |
transcript.pyannote[447].start |
3617.06909375 |
transcript.pyannote[447].end |
3621.62534375 |
transcript.pyannote[448].speaker |
SPEAKER_11 |
transcript.pyannote[448].start |
3621.86159375 |
transcript.pyannote[448].end |
3630.38346875 |
transcript.pyannote[449].speaker |
SPEAKER_07 |
transcript.pyannote[449].start |
3626.40096875 |
transcript.pyannote[449].end |
3628.52721875 |
transcript.pyannote[450].speaker |
SPEAKER_07 |
transcript.pyannote[450].start |
3629.10096875 |
transcript.pyannote[450].end |
3631.81784375 |
transcript.pyannote[451].speaker |
SPEAKER_11 |
transcript.pyannote[451].start |
3630.88971875 |
transcript.pyannote[451].end |
3641.85846875 |
transcript.pyannote[452].speaker |
SPEAKER_07 |
transcript.pyannote[452].start |
3635.05784375 |
transcript.pyannote[452].end |
3635.36159375 |
transcript.pyannote[453].speaker |
SPEAKER_21 |
transcript.pyannote[453].start |
3638.97284375 |
transcript.pyannote[453].end |
3639.00659375 |
transcript.pyannote[454].speaker |
SPEAKER_07 |
transcript.pyannote[454].start |
3639.00659375 |
transcript.pyannote[454].end |
3640.82909375 |
transcript.pyannote[455].speaker |
SPEAKER_07 |
transcript.pyannote[455].start |
3641.55471875 |
transcript.pyannote[455].end |
3641.84159375 |
transcript.pyannote[456].speaker |
SPEAKER_07 |
transcript.pyannote[456].start |
3641.85846875 |
transcript.pyannote[456].end |
3642.36471875 |
transcript.pyannote[457].speaker |
SPEAKER_11 |
transcript.pyannote[457].start |
3643.22534375 |
transcript.pyannote[457].end |
3643.24221875 |
transcript.pyannote[458].speaker |
SPEAKER_07 |
transcript.pyannote[458].start |
3643.24221875 |
transcript.pyannote[458].end |
3660.37034375 |
transcript.pyannote[459].speaker |
SPEAKER_11 |
transcript.pyannote[459].start |
3643.83284375 |
transcript.pyannote[459].end |
3644.57534375 |
transcript.pyannote[460].speaker |
SPEAKER_11 |
transcript.pyannote[460].start |
3649.06409375 |
transcript.pyannote[460].end |
3651.25784375 |
transcript.pyannote[461].speaker |
SPEAKER_11 |
transcript.pyannote[461].start |
3651.86534375 |
transcript.pyannote[461].end |
3652.96221875 |
transcript.pyannote[462].speaker |
SPEAKER_00 |
transcript.pyannote[462].start |
3652.96221875 |
transcript.pyannote[462].end |
3653.13096875 |
transcript.pyannote[463].speaker |
SPEAKER_07 |
transcript.pyannote[463].start |
3660.65721875 |
transcript.pyannote[463].end |
3664.26846875 |
transcript.pyannote[464].speaker |
SPEAKER_11 |
transcript.pyannote[464].start |
3664.97721875 |
transcript.pyannote[464].end |
3675.13596875 |
transcript.pyannote[465].speaker |
SPEAKER_07 |
transcript.pyannote[465].start |
3674.29221875 |
transcript.pyannote[465].end |
3674.96721875 |
transcript.pyannote[466].speaker |
SPEAKER_07 |
transcript.pyannote[466].start |
3675.13596875 |
transcript.pyannote[466].end |
3683.80971875 |
transcript.pyannote[467].speaker |
SPEAKER_11 |
transcript.pyannote[467].start |
3675.20346875 |
transcript.pyannote[467].end |
3675.86159375 |
transcript.pyannote[468].speaker |
SPEAKER_11 |
transcript.pyannote[468].start |
3676.14846875 |
transcript.pyannote[468].end |
3676.78971875 |
transcript.pyannote[469].speaker |
SPEAKER_07 |
transcript.pyannote[469].start |
3684.45096875 |
transcript.pyannote[469].end |
3689.54721875 |
transcript.pyannote[470].speaker |
SPEAKER_07 |
transcript.pyannote[470].start |
3689.98596875 |
transcript.pyannote[470].end |
3691.97721875 |
transcript.pyannote[471].speaker |
SPEAKER_07 |
transcript.pyannote[471].start |
3692.28096875 |
transcript.pyannote[471].end |
3692.97284375 |
transcript.pyannote[472].speaker |
SPEAKER_07 |
transcript.pyannote[472].start |
3693.73221875 |
transcript.pyannote[472].end |
3693.98534375 |
transcript.pyannote[473].speaker |
SPEAKER_07 |
transcript.pyannote[473].start |
3694.27221875 |
transcript.pyannote[473].end |
3697.34346875 |
transcript.pyannote[474].speaker |
SPEAKER_07 |
transcript.pyannote[474].start |
3697.76534375 |
transcript.pyannote[474].end |
3699.97596875 |
transcript.pyannote[475].speaker |
SPEAKER_11 |
transcript.pyannote[475].start |
3698.89596875 |
transcript.pyannote[475].end |
3699.53721875 |
transcript.pyannote[476].speaker |
SPEAKER_11 |
transcript.pyannote[476].start |
3699.97596875 |
transcript.pyannote[476].end |
3700.83659375 |
transcript.pyannote[477].speaker |
SPEAKER_07 |
transcript.pyannote[477].start |
3700.83659375 |
transcript.pyannote[477].end |
3700.85346875 |
transcript.pyannote[478].speaker |
SPEAKER_11 |
transcript.pyannote[478].start |
3701.12346875 |
transcript.pyannote[478].end |
3709.35846875 |
transcript.pyannote[479].speaker |
SPEAKER_11 |
transcript.pyannote[479].start |
3710.03346875 |
transcript.pyannote[479].end |
3718.25159375 |
transcript.pyannote[480].speaker |
SPEAKER_07 |
transcript.pyannote[480].start |
3713.71221875 |
transcript.pyannote[480].end |
3714.42096875 |
transcript.pyannote[481].speaker |
SPEAKER_07 |
transcript.pyannote[481].start |
3714.58971875 |
transcript.pyannote[481].end |
3715.72034375 |
transcript.pyannote[482].speaker |
SPEAKER_07 |
transcript.pyannote[482].start |
3716.22659375 |
transcript.pyannote[482].end |
3730.53659375 |
transcript.pyannote[483].speaker |
SPEAKER_11 |
transcript.pyannote[483].start |
3730.08096875 |
transcript.pyannote[483].end |
3730.46909375 |
transcript.pyannote[484].speaker |
SPEAKER_07 |
transcript.pyannote[484].start |
3730.92471875 |
transcript.pyannote[484].end |
3732.57846875 |
transcript.pyannote[485].speaker |
SPEAKER_11 |
transcript.pyannote[485].start |
3731.21159375 |
transcript.pyannote[485].end |
3732.51096875 |
transcript.pyannote[486].speaker |
SPEAKER_11 |
transcript.pyannote[486].start |
3732.57846875 |
transcript.pyannote[486].end |
3737.82659375 |
transcript.pyannote[487].speaker |
SPEAKER_07 |
transcript.pyannote[487].start |
3734.70471875 |
transcript.pyannote[487].end |
3746.65221875 |
transcript.pyannote[488].speaker |
SPEAKER_11 |
transcript.pyannote[488].start |
3738.18096875 |
transcript.pyannote[488].end |
3738.99096875 |
transcript.pyannote[489].speaker |
SPEAKER_11 |
transcript.pyannote[489].start |
3739.17659375 |
transcript.pyannote[489].end |
3739.36221875 |
transcript.pyannote[490].speaker |
SPEAKER_11 |
transcript.pyannote[490].start |
3741.23534375 |
transcript.pyannote[490].end |
3741.97784375 |
transcript.pyannote[491].speaker |
SPEAKER_07 |
transcript.pyannote[491].start |
3746.83784375 |
transcript.pyannote[491].end |
3754.70159375 |
transcript.pyannote[492].speaker |
SPEAKER_11 |
transcript.pyannote[492].start |
3755.08971875 |
transcript.pyannote[492].end |
3760.11846875 |
transcript.pyannote[493].speaker |
SPEAKER_07 |
transcript.pyannote[493].start |
3756.03471875 |
transcript.pyannote[493].end |
3756.25409375 |
transcript.pyannote[494].speaker |
SPEAKER_07 |
transcript.pyannote[494].start |
3756.89534375 |
transcript.pyannote[494].end |
3757.84034375 |
transcript.pyannote[495].speaker |
SPEAKER_07 |
transcript.pyannote[495].start |
3758.93721875 |
transcript.pyannote[495].end |
3768.85971875 |
transcript.pyannote[496].speaker |
SPEAKER_07 |
transcript.pyannote[496].start |
3769.72034375 |
transcript.pyannote[496].end |
3773.06159375 |
transcript.pyannote[497].speaker |
SPEAKER_07 |
transcript.pyannote[497].start |
3774.02346875 |
transcript.pyannote[497].end |
3777.97221875 |
transcript.pyannote[498].speaker |
SPEAKER_11 |
transcript.pyannote[498].start |
3777.97221875 |
transcript.pyannote[498].end |
3784.28346875 |
transcript.pyannote[499].speaker |
SPEAKER_07 |
transcript.pyannote[499].start |
3784.28346875 |
transcript.pyannote[499].end |
3786.12284375 |
transcript.pyannote[500].speaker |
SPEAKER_11 |
transcript.pyannote[500].start |
3784.60409375 |
transcript.pyannote[500].end |
3790.35846875 |
transcript.pyannote[501].speaker |
SPEAKER_07 |
transcript.pyannote[501].start |
3787.18596875 |
transcript.pyannote[501].end |
3790.25721875 |
transcript.pyannote[502].speaker |
SPEAKER_11 |
transcript.pyannote[502].start |
3790.71284375 |
transcript.pyannote[502].end |
3791.33721875 |
transcript.pyannote[503].speaker |
SPEAKER_11 |
transcript.pyannote[503].start |
3791.67471875 |
transcript.pyannote[503].end |
3793.02471875 |
transcript.pyannote[504].speaker |
SPEAKER_07 |
transcript.pyannote[504].start |
3793.02471875 |
transcript.pyannote[504].end |
3794.52659375 |
transcript.pyannote[505].speaker |
SPEAKER_07 |
transcript.pyannote[505].start |
3795.55596875 |
transcript.pyannote[505].end |
3806.87909375 |
transcript.pyannote[506].speaker |
SPEAKER_11 |
transcript.pyannote[506].start |
3795.79221875 |
transcript.pyannote[506].end |
3796.28159375 |
transcript.pyannote[507].speaker |
SPEAKER_00 |
transcript.pyannote[507].start |
3798.17159375 |
transcript.pyannote[507].end |
3798.18846875 |
transcript.pyannote[508].speaker |
SPEAKER_11 |
transcript.pyannote[508].start |
3798.18846875 |
transcript.pyannote[508].end |
3799.48784375 |
transcript.pyannote[509].speaker |
SPEAKER_00 |
transcript.pyannote[509].start |
3799.48784375 |
transcript.pyannote[509].end |
3799.50471875 |
transcript.pyannote[510].speaker |
SPEAKER_07 |
transcript.pyannote[510].start |
3807.13221875 |
transcript.pyannote[510].end |
3809.51159375 |
transcript.pyannote[511].speaker |
SPEAKER_07 |
transcript.pyannote[511].start |
3809.96721875 |
transcript.pyannote[511].end |
3825.00284375 |
transcript.pyannote[512].speaker |
SPEAKER_11 |
transcript.pyannote[512].start |
3825.28971875 |
transcript.pyannote[512].end |
3826.89284375 |
transcript.pyannote[513].speaker |
SPEAKER_11 |
transcript.pyannote[513].start |
3827.58471875 |
transcript.pyannote[513].end |
3830.09909375 |
transcript.pyannote[514].speaker |
SPEAKER_07 |
transcript.pyannote[514].start |
3830.40284375 |
transcript.pyannote[514].end |
3830.41971875 |
transcript.pyannote[515].speaker |
SPEAKER_11 |
transcript.pyannote[515].start |
3830.41971875 |
transcript.pyannote[515].end |
3831.02721875 |
transcript.pyannote[516].speaker |
SPEAKER_07 |
transcript.pyannote[516].start |
3831.02721875 |
transcript.pyannote[516].end |
3832.17471875 |
transcript.pyannote[517].speaker |
SPEAKER_11 |
transcript.pyannote[517].start |
3832.17471875 |
transcript.pyannote[517].end |
3832.32659375 |
transcript.pyannote[518].speaker |
SPEAKER_07 |
transcript.pyannote[518].start |
3832.32659375 |
transcript.pyannote[518].end |
3832.56284375 |
transcript.pyannote[519].speaker |
SPEAKER_11 |
transcript.pyannote[519].start |
3832.56284375 |
transcript.pyannote[519].end |
3833.35596875 |
transcript.pyannote[520].speaker |
SPEAKER_07 |
transcript.pyannote[520].start |
3832.74846875 |
transcript.pyannote[520].end |
3848.50971875 |
transcript.pyannote[521].speaker |
SPEAKER_11 |
transcript.pyannote[521].start |
3847.27784375 |
transcript.pyannote[521].end |
3849.35346875 |
transcript.pyannote[522].speaker |
SPEAKER_11 |
transcript.pyannote[522].start |
3849.60659375 |
transcript.pyannote[522].end |
3850.82159375 |
transcript.pyannote[523].speaker |
SPEAKER_07 |
transcript.pyannote[523].start |
3849.91034375 |
transcript.pyannote[523].end |
3855.86721875 |
transcript.pyannote[524].speaker |
SPEAKER_07 |
transcript.pyannote[524].start |
3856.86284375 |
transcript.pyannote[524].end |
3857.48721875 |
transcript.pyannote[525].speaker |
SPEAKER_07 |
transcript.pyannote[525].start |
3857.65596875 |
transcript.pyannote[525].end |
3859.36034375 |
transcript.pyannote[526].speaker |
SPEAKER_07 |
transcript.pyannote[526].start |
3860.00159375 |
transcript.pyannote[526].end |
3861.85784375 |
transcript.pyannote[527].speaker |
SPEAKER_07 |
transcript.pyannote[527].start |
3864.38909375 |
transcript.pyannote[527].end |
3865.38471875 |
transcript.pyannote[528].speaker |
SPEAKER_07 |
transcript.pyannote[528].start |
3865.62096875 |
transcript.pyannote[528].end |
3866.00909375 |
transcript.pyannote[529].speaker |
SPEAKER_07 |
transcript.pyannote[529].start |
3866.43096875 |
transcript.pyannote[529].end |
3872.84346875 |
transcript.pyannote[530].speaker |
SPEAKER_07 |
transcript.pyannote[530].start |
3873.46784375 |
transcript.pyannote[530].end |
3877.36596875 |
transcript.pyannote[531].speaker |
SPEAKER_07 |
transcript.pyannote[531].start |
3877.82159375 |
transcript.pyannote[531].end |
3903.13409375 |
transcript.pyannote[532].speaker |
SPEAKER_11 |
transcript.pyannote[532].start |
3899.25284375 |
transcript.pyannote[532].end |
3900.83909375 |
transcript.pyannote[533].speaker |
SPEAKER_11 |
transcript.pyannote[533].start |
3900.97409375 |
transcript.pyannote[533].end |
3901.37909375 |
transcript.pyannote[534].speaker |
SPEAKER_07 |
transcript.pyannote[534].start |
3903.18471875 |
transcript.pyannote[534].end |
3906.34034375 |
transcript.pyannote[535].speaker |
SPEAKER_11 |
transcript.pyannote[535].start |
3907.72409375 |
transcript.pyannote[535].end |
3916.09409375 |
transcript.pyannote[536].speaker |
SPEAKER_07 |
transcript.pyannote[536].start |
3910.39034375 |
transcript.pyannote[536].end |
3912.14534375 |
transcript.pyannote[537].speaker |
SPEAKER_07 |
transcript.pyannote[537].start |
3915.50346875 |
transcript.pyannote[537].end |
3916.88721875 |
transcript.pyannote[538].speaker |
SPEAKER_11 |
transcript.pyannote[538].start |
3916.33034375 |
transcript.pyannote[538].end |
3916.58346875 |
transcript.pyannote[539].speaker |
SPEAKER_11 |
transcript.pyannote[539].start |
3916.88721875 |
transcript.pyannote[539].end |
3916.92096875 |
transcript.pyannote[540].speaker |
SPEAKER_07 |
transcript.pyannote[540].start |
3916.92096875 |
transcript.pyannote[540].end |
3921.07221875 |
transcript.pyannote[541].speaker |
SPEAKER_11 |
transcript.pyannote[541].start |
3916.98846875 |
transcript.pyannote[541].end |
3918.37221875 |
transcript.pyannote[542].speaker |
SPEAKER_07 |
transcript.pyannote[542].start |
3921.44346875 |
transcript.pyannote[542].end |
3930.38721875 |
transcript.pyannote[543].speaker |
SPEAKER_11 |
transcript.pyannote[543].start |
3928.69971875 |
transcript.pyannote[543].end |
3937.03596875 |
transcript.pyannote[544].speaker |
SPEAKER_07 |
transcript.pyannote[544].start |
3930.52221875 |
transcript.pyannote[544].end |
3932.53034375 |
transcript.pyannote[545].speaker |
SPEAKER_07 |
transcript.pyannote[545].start |
3932.83409375 |
transcript.pyannote[545].end |
3933.30659375 |
transcript.pyannote[546].speaker |
SPEAKER_07 |
transcript.pyannote[546].start |
3937.03596875 |
transcript.pyannote[546].end |
3947.98784375 |
transcript.pyannote[547].speaker |
SPEAKER_11 |
transcript.pyannote[547].start |
3937.74471875 |
transcript.pyannote[547].end |
3938.11596875 |
transcript.pyannote[548].speaker |
SPEAKER_21 |
transcript.pyannote[548].start |
3947.93721875 |
transcript.pyannote[548].end |
3948.19034375 |
transcript.pyannote[549].speaker |
SPEAKER_07 |
transcript.pyannote[549].start |
3948.19034375 |
transcript.pyannote[549].end |
3952.57784375 |
transcript.pyannote[550].speaker |
SPEAKER_21 |
transcript.pyannote[550].start |
3948.25784375 |
transcript.pyannote[550].end |
3948.37596875 |
transcript.pyannote[551].speaker |
SPEAKER_21 |
transcript.pyannote[551].start |
3951.31221875 |
transcript.pyannote[551].end |
3951.48096875 |
transcript.pyannote[552].speaker |
SPEAKER_07 |
transcript.pyannote[552].start |
3952.78034375 |
transcript.pyannote[552].end |
3953.96159375 |
transcript.pyannote[553].speaker |
SPEAKER_07 |
transcript.pyannote[553].start |
3954.51846875 |
transcript.pyannote[553].end |
3954.85596875 |
transcript.pyannote[554].speaker |
SPEAKER_07 |
transcript.pyannote[554].start |
3955.63221875 |
transcript.pyannote[554].end |
3965.14971875 |
transcript.pyannote[555].speaker |
SPEAKER_07 |
transcript.pyannote[555].start |
3965.55471875 |
transcript.pyannote[555].end |
3967.03971875 |
transcript.pyannote[556].speaker |
SPEAKER_07 |
transcript.pyannote[556].start |
3967.10721875 |
transcript.pyannote[556].end |
3976.84409375 |
transcript.pyannote[557].speaker |
SPEAKER_11 |
transcript.pyannote[557].start |
3977.26596875 |
transcript.pyannote[557].end |
3978.10971875 |
transcript.pyannote[558].speaker |
SPEAKER_11 |
transcript.pyannote[558].start |
3978.49784375 |
transcript.pyannote[558].end |
3987.54284375 |
transcript.pyannote[559].speaker |
SPEAKER_07 |
transcript.pyannote[559].start |
3982.12596875 |
transcript.pyannote[559].end |
3984.97784375 |
transcript.pyannote[560].speaker |
SPEAKER_09 |
transcript.pyannote[560].start |
3984.97784375 |
transcript.pyannote[560].end |
3985.88909375 |
transcript.pyannote[561].speaker |
SPEAKER_11 |
transcript.pyannote[561].start |
3987.88034375 |
transcript.pyannote[561].end |
3990.91784375 |
transcript.pyannote[562].speaker |
SPEAKER_11 |
transcript.pyannote[562].start |
3991.25534375 |
transcript.pyannote[562].end |
3993.09471875 |
transcript.pyannote[563].speaker |
SPEAKER_11 |
transcript.pyannote[563].start |
3993.56721875 |
transcript.pyannote[563].end |
3994.79909375 |
transcript.pyannote[564].speaker |
SPEAKER_11 |
transcript.pyannote[564].start |
3995.15346875 |
transcript.pyannote[564].end |
3997.02659375 |
transcript.pyannote[565].speaker |
SPEAKER_07 |
transcript.pyannote[565].start |
3997.02659375 |
transcript.pyannote[565].end |
3997.85346875 |
transcript.pyannote[566].speaker |
SPEAKER_11 |
transcript.pyannote[566].start |
3997.85346875 |
transcript.pyannote[566].end |
3997.87034375 |
transcript.pyannote[567].speaker |
SPEAKER_07 |
transcript.pyannote[567].start |
3997.87034375 |
transcript.pyannote[567].end |
3997.88721875 |
transcript.pyannote[568].speaker |
SPEAKER_07 |
transcript.pyannote[568].start |
3998.12346875 |
transcript.pyannote[568].end |
4001.88659375 |
transcript.pyannote[569].speaker |
SPEAKER_11 |
transcript.pyannote[569].start |
4000.84034375 |
transcript.pyannote[569].end |
4001.86971875 |
transcript.pyannote[570].speaker |
SPEAKER_11 |
transcript.pyannote[570].start |
4001.88659375 |
transcript.pyannote[570].end |
4001.90346875 |
transcript.pyannote[571].speaker |
SPEAKER_07 |
transcript.pyannote[571].start |
4001.90346875 |
transcript.pyannote[571].end |
4002.51096875 |
transcript.pyannote[572].speaker |
SPEAKER_11 |
transcript.pyannote[572].start |
4002.51096875 |
transcript.pyannote[572].end |
4008.19784375 |
transcript.pyannote[573].speaker |
SPEAKER_11 |
transcript.pyannote[573].start |
4008.60284375 |
transcript.pyannote[573].end |
4015.06596875 |
transcript.pyannote[574].speaker |
SPEAKER_07 |
transcript.pyannote[574].start |
4013.66534375 |
transcript.pyannote[574].end |
4022.40659375 |
transcript.pyannote[575].speaker |
SPEAKER_07 |
transcript.pyannote[575].start |
4022.84534375 |
transcript.pyannote[575].end |
4026.50721875 |
transcript.pyannote[576].speaker |
SPEAKER_07 |
transcript.pyannote[576].start |
4026.87846875 |
transcript.pyannote[576].end |
4030.59096875 |
transcript.pyannote[577].speaker |
SPEAKER_07 |
transcript.pyannote[577].start |
4031.99159375 |
transcript.pyannote[577].end |
4037.96534375 |
transcript.pyannote[578].speaker |
SPEAKER_11 |
transcript.pyannote[578].start |
4036.44659375 |
transcript.pyannote[578].end |
4036.59846875 |
transcript.pyannote[579].speaker |
SPEAKER_11 |
transcript.pyannote[579].start |
4037.96534375 |
transcript.pyannote[579].end |
4045.10346875 |
transcript.pyannote[580].speaker |
SPEAKER_07 |
transcript.pyannote[580].start |
4041.89721875 |
transcript.pyannote[580].end |
4042.01534375 |
transcript.pyannote[581].speaker |
SPEAKER_07 |
transcript.pyannote[581].start |
4042.85909375 |
transcript.pyannote[581].end |
4044.15846875 |
transcript.pyannote[582].speaker |
SPEAKER_07 |
transcript.pyannote[582].start |
4044.76596875 |
transcript.pyannote[582].end |
4045.05284375 |
transcript.pyannote[583].speaker |
SPEAKER_07 |
transcript.pyannote[583].start |
4045.10346875 |
transcript.pyannote[583].end |
4045.71096875 |
transcript.pyannote[584].speaker |
SPEAKER_11 |
transcript.pyannote[584].start |
4045.71096875 |
transcript.pyannote[584].end |
4050.30096875 |
transcript.pyannote[585].speaker |
SPEAKER_07 |
transcript.pyannote[585].start |
4045.72784375 |
transcript.pyannote[585].end |
4046.97659375 |
transcript.pyannote[586].speaker |
SPEAKER_07 |
transcript.pyannote[586].start |
4048.91721875 |
transcript.pyannote[586].end |
4065.45471875 |
transcript.pyannote[587].speaker |
SPEAKER_07 |
transcript.pyannote[587].start |
4065.89346875 |
transcript.pyannote[587].end |
4069.42034375 |
transcript.pyannote[588].speaker |
SPEAKER_00 |
transcript.pyannote[588].start |
4068.67784375 |
transcript.pyannote[588].end |
4069.30221875 |
transcript.pyannote[589].speaker |
SPEAKER_07 |
transcript.pyannote[589].start |
4069.87596875 |
transcript.pyannote[589].end |
4081.40159375 |
transcript.pyannote[590].speaker |
SPEAKER_07 |
transcript.pyannote[590].start |
4081.70534375 |
transcript.pyannote[590].end |
4103.92971875 |
transcript.pyannote[591].speaker |
SPEAKER_00 |
transcript.pyannote[591].start |
4095.07034375 |
transcript.pyannote[591].end |
4095.08721875 |
transcript.pyannote[592].speaker |
SPEAKER_21 |
transcript.pyannote[592].start |
4095.08721875 |
transcript.pyannote[592].end |
4095.71159375 |
transcript.pyannote[593].speaker |
SPEAKER_05 |
transcript.pyannote[593].start |
4095.71159375 |
transcript.pyannote[593].end |
4096.25159375 |
transcript.pyannote[594].speaker |
SPEAKER_21 |
transcript.pyannote[594].start |
4096.25159375 |
transcript.pyannote[594].end |
4096.26846875 |
transcript.pyannote[595].speaker |
SPEAKER_21 |
transcript.pyannote[595].start |
4097.85471875 |
transcript.pyannote[595].end |
4098.10784375 |
transcript.pyannote[596].speaker |
SPEAKER_07 |
transcript.pyannote[596].start |
4104.38534375 |
transcript.pyannote[596].end |
4107.70971875 |
transcript.pyannote[597].speaker |
SPEAKER_07 |
transcript.pyannote[597].start |
4107.99659375 |
transcript.pyannote[597].end |
4108.97534375 |
transcript.pyannote[598].speaker |
SPEAKER_11 |
transcript.pyannote[598].start |
4108.97534375 |
transcript.pyannote[598].end |
4114.03784375 |
transcript.pyannote[599].speaker |
SPEAKER_07 |
transcript.pyannote[599].start |
4113.17721875 |
transcript.pyannote[599].end |
4113.56534375 |
transcript.pyannote[600].speaker |
SPEAKER_07 |
transcript.pyannote[600].start |
4114.03784375 |
transcript.pyannote[600].end |
4114.96596875 |
transcript.pyannote[601].speaker |
SPEAKER_11 |
transcript.pyannote[601].start |
4114.96596875 |
transcript.pyannote[601].end |
4115.03346875 |
transcript.pyannote[602].speaker |
SPEAKER_07 |
transcript.pyannote[602].start |
4115.03346875 |
transcript.pyannote[602].end |
4117.26096875 |
transcript.pyannote[603].speaker |
SPEAKER_11 |
transcript.pyannote[603].start |
4115.57346875 |
transcript.pyannote[603].end |
4121.09159375 |
transcript.pyannote[604].speaker |
SPEAKER_11 |
transcript.pyannote[604].start |
4121.24346875 |
transcript.pyannote[604].end |
4136.38034375 |
transcript.pyannote[605].speaker |
SPEAKER_07 |
transcript.pyannote[605].start |
4123.15034375 |
transcript.pyannote[605].end |
4124.77034375 |
transcript.pyannote[606].speaker |
SPEAKER_07 |
transcript.pyannote[606].start |
4125.32721875 |
transcript.pyannote[606].end |
4126.96409375 |
transcript.pyannote[607].speaker |
SPEAKER_07 |
transcript.pyannote[607].start |
4127.89221875 |
transcript.pyannote[607].end |
4130.03534375 |
transcript.pyannote[608].speaker |
SPEAKER_06 |
transcript.pyannote[608].start |
4130.03534375 |
transcript.pyannote[608].end |
4132.76909375 |
transcript.pyannote[609].speaker |
SPEAKER_06 |
transcript.pyannote[609].start |
4134.50721875 |
transcript.pyannote[609].end |
4135.80659375 |
transcript.pyannote[610].speaker |
SPEAKER_06 |
transcript.pyannote[610].start |
4137.42659375 |
transcript.pyannote[610].end |
4139.99159375 |
transcript.pyannote[611].speaker |
SPEAKER_06 |
transcript.pyannote[611].start |
4140.98721875 |
transcript.pyannote[611].end |
4143.70409375 |
transcript.pyannote[612].speaker |
SPEAKER_08 |
transcript.pyannote[612].start |
4149.50909375 |
transcript.pyannote[612].end |
4154.79096875 |
transcript.pyannote[613].speaker |
SPEAKER_08 |
transcript.pyannote[613].start |
4154.87534375 |
transcript.pyannote[613].end |
4155.80346875 |
transcript.pyannote[614].speaker |
SPEAKER_11 |
transcript.pyannote[614].start |
4159.41471875 |
transcript.pyannote[614].end |
4159.98846875 |
transcript.pyannote[615].speaker |
SPEAKER_08 |
transcript.pyannote[615].start |
4160.37659375 |
transcript.pyannote[615].end |
4160.76471875 |
transcript.pyannote[616].speaker |
SPEAKER_08 |
transcript.pyannote[616].start |
4160.89971875 |
transcript.pyannote[616].end |
4162.04721875 |
transcript.pyannote[617].speaker |
SPEAKER_08 |
transcript.pyannote[617].start |
4163.43096875 |
transcript.pyannote[617].end |
4164.20721875 |
transcript.pyannote[618].speaker |
SPEAKER_08 |
transcript.pyannote[618].start |
4165.89471875 |
transcript.pyannote[618].end |
4170.60284375 |
transcript.pyannote[619].speaker |
SPEAKER_11 |
transcript.pyannote[619].start |
4168.54409375 |
transcript.pyannote[619].end |
4168.86471875 |
transcript.pyannote[620].speaker |
SPEAKER_08 |
transcript.pyannote[620].start |
4171.12596875 |
transcript.pyannote[620].end |
4177.33596875 |
transcript.pyannote[621].speaker |
SPEAKER_08 |
transcript.pyannote[621].start |
4178.14596875 |
transcript.pyannote[621].end |
4179.07409375 |
transcript.pyannote[622].speaker |
SPEAKER_08 |
transcript.pyannote[622].start |
4179.54659375 |
transcript.pyannote[622].end |
4181.58846875 |
transcript.pyannote[623].speaker |
SPEAKER_08 |
transcript.pyannote[623].start |
4182.01034375 |
transcript.pyannote[623].end |
4187.81534375 |
transcript.pyannote[624].speaker |
SPEAKER_11 |
transcript.pyannote[624].start |
4189.04721875 |
transcript.pyannote[624].end |
4189.97534375 |
transcript.pyannote[625].speaker |
SPEAKER_11 |
transcript.pyannote[625].start |
4190.31284375 |
transcript.pyannote[625].end |
4191.66284375 |
transcript.pyannote[626].speaker |
SPEAKER_11 |
transcript.pyannote[626].start |
4192.08471875 |
transcript.pyannote[626].end |
4193.35034375 |
transcript.pyannote[627].speaker |
SPEAKER_11 |
transcript.pyannote[627].start |
4193.55284375 |
transcript.pyannote[627].end |
4193.58659375 |
transcript.pyannote[628].speaker |
SPEAKER_08 |
transcript.pyannote[628].start |
4193.58659375 |
transcript.pyannote[628].end |
4193.72159375 |
transcript.pyannote[629].speaker |
SPEAKER_11 |
transcript.pyannote[629].start |
4193.72159375 |
transcript.pyannote[629].end |
4193.73846875 |
transcript.pyannote[630].speaker |
SPEAKER_08 |
transcript.pyannote[630].start |
4193.73846875 |
transcript.pyannote[630].end |
4193.75534375 |
transcript.pyannote[631].speaker |
SPEAKER_11 |
transcript.pyannote[631].start |
4193.75534375 |
transcript.pyannote[631].end |
4197.02909375 |
transcript.pyannote[632].speaker |
SPEAKER_08 |
transcript.pyannote[632].start |
4198.49721875 |
transcript.pyannote[632].end |
4199.40846875 |
transcript.pyannote[633].speaker |
SPEAKER_08 |
transcript.pyannote[633].start |
4199.79659375 |
transcript.pyannote[633].end |
4201.06221875 |
transcript.pyannote[634].speaker |
SPEAKER_08 |
transcript.pyannote[634].start |
4201.60221875 |
transcript.pyannote[634].end |
4214.25846875 |
transcript.pyannote[635].speaker |
SPEAKER_11 |
transcript.pyannote[635].start |
4214.68034375 |
transcript.pyannote[635].end |
4233.29346875 |
transcript.pyannote[636].speaker |
SPEAKER_21 |
transcript.pyannote[636].start |
4217.92034375 |
transcript.pyannote[636].end |
4217.98784375 |
transcript.pyannote[637].speaker |
SPEAKER_08 |
transcript.pyannote[637].start |
4232.82096875 |
transcript.pyannote[637].end |
4257.52596875 |
transcript.pyannote[638].speaker |
SPEAKER_20 |
transcript.pyannote[638].start |
4253.23971875 |
transcript.pyannote[638].end |
4253.62784375 |
transcript.pyannote[639].speaker |
SPEAKER_08 |
transcript.pyannote[639].start |
4257.94784375 |
transcript.pyannote[639].end |
4258.80846875 |
transcript.pyannote[640].speaker |
SPEAKER_08 |
transcript.pyannote[640].start |
4258.87596875 |
transcript.pyannote[640].end |
4260.04034375 |
transcript.pyannote[641].speaker |
SPEAKER_08 |
transcript.pyannote[641].start |
4260.64784375 |
transcript.pyannote[641].end |
4260.66471875 |
transcript.pyannote[642].speaker |
SPEAKER_11 |
transcript.pyannote[642].start |
4260.66471875 |
transcript.pyannote[642].end |
4261.59284375 |
transcript.pyannote[643].speaker |
SPEAKER_08 |
transcript.pyannote[643].start |
4261.59284375 |
transcript.pyannote[643].end |
4265.60909375 |
transcript.pyannote[644].speaker |
SPEAKER_08 |
transcript.pyannote[644].start |
4266.58784375 |
transcript.pyannote[644].end |
4269.23721875 |
transcript.pyannote[645].speaker |
SPEAKER_08 |
transcript.pyannote[645].start |
4269.42284375 |
transcript.pyannote[645].end |
4271.54909375 |
transcript.pyannote[646].speaker |
SPEAKER_11 |
transcript.pyannote[646].start |
4271.97096875 |
transcript.pyannote[646].end |
4274.87346875 |
transcript.pyannote[647].speaker |
SPEAKER_08 |
transcript.pyannote[647].start |
4275.22784375 |
transcript.pyannote[647].end |
4275.46409375 |
transcript.pyannote[648].speaker |
SPEAKER_11 |
transcript.pyannote[648].start |
4275.78471875 |
transcript.pyannote[648].end |
4276.88159375 |
transcript.pyannote[649].speaker |
SPEAKER_11 |
transcript.pyannote[649].start |
4276.93221875 |
transcript.pyannote[649].end |
4281.18471875 |
transcript.pyannote[650].speaker |
SPEAKER_08 |
transcript.pyannote[650].start |
4279.80096875 |
transcript.pyannote[650].end |
4286.46659375 |
transcript.pyannote[651].speaker |
SPEAKER_08 |
transcript.pyannote[651].start |
4287.29346875 |
transcript.pyannote[651].end |
4301.89034375 |
transcript.pyannote[652].speaker |
SPEAKER_08 |
transcript.pyannote[652].start |
4302.93659375 |
transcript.pyannote[652].end |
4304.26971875 |
transcript.pyannote[653].speaker |
SPEAKER_11 |
transcript.pyannote[653].start |
4305.34971875 |
transcript.pyannote[653].end |
4306.17659375 |
transcript.pyannote[654].speaker |
SPEAKER_11 |
transcript.pyannote[654].start |
4306.42971875 |
transcript.pyannote[654].end |
4309.80471875 |
transcript.pyannote[655].speaker |
SPEAKER_11 |
transcript.pyannote[655].start |
4310.22659375 |
transcript.pyannote[655].end |
4312.31909375 |
transcript.pyannote[656].speaker |
SPEAKER_08 |
transcript.pyannote[656].start |
4312.31909375 |
transcript.pyannote[656].end |
4319.77784375 |
transcript.pyannote[657].speaker |
SPEAKER_11 |
transcript.pyannote[657].start |
4322.46096875 |
transcript.pyannote[657].end |
4322.68034375 |
transcript.pyannote[658].speaker |
SPEAKER_11 |
transcript.pyannote[658].start |
4323.10221875 |
transcript.pyannote[658].end |
4323.13596875 |
transcript.pyannote[659].speaker |
SPEAKER_08 |
transcript.pyannote[659].start |
4323.13596875 |
transcript.pyannote[659].end |
4323.70971875 |
transcript.pyannote[660].speaker |
SPEAKER_11 |
transcript.pyannote[660].start |
4323.70971875 |
transcript.pyannote[660].end |
4326.02159375 |
transcript.pyannote[661].speaker |
SPEAKER_08 |
transcript.pyannote[661].start |
4323.82784375 |
transcript.pyannote[661].end |
4324.26659375 |
transcript.pyannote[662].speaker |
SPEAKER_08 |
transcript.pyannote[662].start |
4324.94159375 |
transcript.pyannote[662].end |
4333.14284375 |
transcript.pyannote[663].speaker |
SPEAKER_08 |
transcript.pyannote[663].start |
4333.90221875 |
transcript.pyannote[663].end |
4335.30284375 |
transcript.pyannote[664].speaker |
SPEAKER_08 |
transcript.pyannote[664].start |
4335.62346875 |
transcript.pyannote[664].end |
4340.02784375 |
transcript.pyannote[665].speaker |
SPEAKER_08 |
transcript.pyannote[665].start |
4340.06159375 |
transcript.pyannote[665].end |
4359.78846875 |
transcript.pyannote[666].speaker |
SPEAKER_08 |
transcript.pyannote[666].start |
4360.27784375 |
transcript.pyannote[666].end |
4363.66971875 |
transcript.pyannote[667].speaker |
SPEAKER_08 |
transcript.pyannote[667].start |
4363.82159375 |
transcript.pyannote[667].end |
4369.64346875 |
transcript.pyannote[668].speaker |
SPEAKER_11 |
transcript.pyannote[668].start |
4370.13284375 |
transcript.pyannote[668].end |
4370.67284375 |
transcript.pyannote[669].speaker |
SPEAKER_11 |
transcript.pyannote[669].start |
4370.74034375 |
transcript.pyannote[669].end |
4389.35346875 |
transcript.pyannote[670].speaker |
SPEAKER_08 |
transcript.pyannote[670].start |
4375.31346875 |
transcript.pyannote[670].end |
4376.83221875 |
transcript.pyannote[671].speaker |
SPEAKER_08 |
transcript.pyannote[671].start |
4386.78846875 |
transcript.pyannote[671].end |
4387.32846875 |
transcript.pyannote[672].speaker |
SPEAKER_08 |
transcript.pyannote[672].start |
4387.61534375 |
transcript.pyannote[672].end |
4388.44221875 |
transcript.pyannote[673].speaker |
SPEAKER_08 |
transcript.pyannote[673].start |
4389.35346875 |
transcript.pyannote[673].end |
4394.21346875 |
transcript.pyannote[674].speaker |
SPEAKER_11 |
transcript.pyannote[674].start |
4389.37034375 |
transcript.pyannote[674].end |
4389.94409375 |
transcript.pyannote[675].speaker |
SPEAKER_08 |
transcript.pyannote[675].start |
4394.75346875 |
transcript.pyannote[675].end |
4397.35221875 |
transcript.pyannote[676].speaker |
SPEAKER_08 |
transcript.pyannote[676].start |
4397.84159375 |
transcript.pyannote[676].end |
4407.54471875 |
transcript.pyannote[677].speaker |
SPEAKER_08 |
transcript.pyannote[677].start |
4408.10159375 |
transcript.pyannote[677].end |
4411.18971875 |
transcript.pyannote[678].speaker |
SPEAKER_08 |
transcript.pyannote[678].start |
4412.69159375 |
transcript.pyannote[678].end |
4413.46784375 |
transcript.pyannote[679].speaker |
SPEAKER_08 |
transcript.pyannote[679].start |
4414.02471875 |
transcript.pyannote[679].end |
4419.25596875 |
transcript.pyannote[680].speaker |
SPEAKER_11 |
transcript.pyannote[680].start |
4420.80846875 |
transcript.pyannote[680].end |
4426.69784375 |
transcript.pyannote[681].speaker |
SPEAKER_08 |
transcript.pyannote[681].start |
4423.86284375 |
transcript.pyannote[681].end |
4424.38596875 |
transcript.pyannote[682].speaker |
SPEAKER_08 |
transcript.pyannote[682].start |
4424.47034375 |
transcript.pyannote[682].end |
4425.06096875 |
transcript.pyannote[683].speaker |
SPEAKER_08 |
transcript.pyannote[683].start |
4425.34784375 |
transcript.pyannote[683].end |
4426.59659375 |
transcript.pyannote[684].speaker |
SPEAKER_08 |
transcript.pyannote[684].start |
4426.69784375 |
transcript.pyannote[684].end |
4430.37659375 |
transcript.pyannote[685].speaker |
SPEAKER_11 |
transcript.pyannote[685].start |
4428.46971875 |
transcript.pyannote[685].end |
4429.04346875 |
transcript.pyannote[686].speaker |
SPEAKER_11 |
transcript.pyannote[686].start |
4430.37659375 |
transcript.pyannote[686].end |
4438.12221875 |
transcript.pyannote[687].speaker |
SPEAKER_11 |
transcript.pyannote[687].start |
4438.51034375 |
transcript.pyannote[687].end |
4441.41284375 |
transcript.pyannote[688].speaker |
SPEAKER_11 |
transcript.pyannote[688].start |
4442.20596875 |
transcript.pyannote[688].end |
4442.74596875 |
transcript.pyannote[689].speaker |
SPEAKER_11 |
transcript.pyannote[689].start |
4443.15096875 |
transcript.pyannote[689].end |
4452.70221875 |
transcript.pyannote[690].speaker |
SPEAKER_09 |
transcript.pyannote[690].start |
4445.69909375 |
transcript.pyannote[690].end |
4445.96909375 |
transcript.pyannote[691].speaker |
SPEAKER_11 |
transcript.pyannote[691].start |
4452.75284375 |
transcript.pyannote[691].end |
4452.82034375 |
transcript.pyannote[692].speaker |
SPEAKER_08 |
transcript.pyannote[692].start |
4452.82034375 |
transcript.pyannote[692].end |
4453.12409375 |
transcript.pyannote[693].speaker |
SPEAKER_11 |
transcript.pyannote[693].start |
4453.12409375 |
transcript.pyannote[693].end |
4454.74409375 |
transcript.pyannote[694].speaker |
SPEAKER_08 |
transcript.pyannote[694].start |
4454.03534375 |
transcript.pyannote[694].end |
4458.81096875 |
transcript.pyannote[695].speaker |
SPEAKER_11 |
transcript.pyannote[695].start |
4457.86596875 |
transcript.pyannote[695].end |
4463.90721875 |
transcript.pyannote[696].speaker |
SPEAKER_08 |
transcript.pyannote[696].start |
4463.90721875 |
transcript.pyannote[696].end |
4471.43346875 |
transcript.pyannote[697].speaker |
SPEAKER_11 |
transcript.pyannote[697].start |
4468.00784375 |
transcript.pyannote[697].end |
4468.76721875 |
transcript.pyannote[698].speaker |
SPEAKER_11 |
transcript.pyannote[698].start |
4470.08346875 |
transcript.pyannote[698].end |
4472.44596875 |
transcript.pyannote[699].speaker |
SPEAKER_11 |
transcript.pyannote[699].start |
4473.49221875 |
transcript.pyannote[699].end |
4485.38909375 |
transcript.pyannote[700].speaker |
SPEAKER_08 |
transcript.pyannote[700].start |
4485.30471875 |
transcript.pyannote[700].end |
4491.31221875 |
transcript.pyannote[701].speaker |
SPEAKER_21 |
transcript.pyannote[701].start |
4491.27846875 |
transcript.pyannote[701].end |
4491.29534375 |
transcript.pyannote[702].speaker |
SPEAKER_21 |
transcript.pyannote[702].start |
4491.31221875 |
transcript.pyannote[702].end |
4491.48096875 |
transcript.pyannote[703].speaker |
SPEAKER_08 |
transcript.pyannote[703].start |
4491.48096875 |
transcript.pyannote[703].end |
4496.71221875 |
transcript.pyannote[704].speaker |
SPEAKER_08 |
transcript.pyannote[704].start |
4497.65721875 |
transcript.pyannote[704].end |
4501.21784375 |
transcript.pyannote[705].speaker |
SPEAKER_08 |
transcript.pyannote[705].start |
4501.63971875 |
transcript.pyannote[705].end |
4508.32221875 |
transcript.pyannote[706].speaker |
SPEAKER_08 |
transcript.pyannote[706].start |
4508.38971875 |
transcript.pyannote[706].end |
4516.03409375 |
transcript.pyannote[707].speaker |
SPEAKER_08 |
transcript.pyannote[707].start |
4516.18596875 |
transcript.pyannote[707].end |
4520.94471875 |
transcript.pyannote[708].speaker |
SPEAKER_08 |
transcript.pyannote[708].start |
4521.45096875 |
transcript.pyannote[708].end |
4537.19534375 |
transcript.pyannote[709].speaker |
SPEAKER_11 |
transcript.pyannote[709].start |
4537.11096875 |
transcript.pyannote[709].end |
4537.14471875 |
transcript.pyannote[710].speaker |
SPEAKER_11 |
transcript.pyannote[710].start |
4537.16159375 |
transcript.pyannote[710].end |
4537.17846875 |
transcript.pyannote[711].speaker |
SPEAKER_11 |
transcript.pyannote[711].start |
4537.19534375 |
transcript.pyannote[711].end |
4537.38096875 |
transcript.pyannote[712].speaker |
SPEAKER_08 |
transcript.pyannote[712].start |
4537.38096875 |
transcript.pyannote[712].end |
4538.78159375 |
transcript.pyannote[713].speaker |
SPEAKER_11 |
transcript.pyannote[713].start |
4537.41471875 |
transcript.pyannote[713].end |
4537.49909375 |
transcript.pyannote[714].speaker |
SPEAKER_11 |
transcript.pyannote[714].start |
4539.18659375 |
transcript.pyannote[714].end |
4539.50721875 |
transcript.pyannote[715].speaker |
SPEAKER_08 |
transcript.pyannote[715].start |
4539.50721875 |
transcript.pyannote[715].end |
4539.97971875 |
transcript.pyannote[716].speaker |
SPEAKER_11 |
transcript.pyannote[716].start |
4540.11471875 |
transcript.pyannote[716].end |
4544.48534375 |
transcript.pyannote[717].speaker |
SPEAKER_11 |
transcript.pyannote[717].start |
4544.75534375 |
transcript.pyannote[717].end |
4551.91034375 |
transcript.pyannote[718].speaker |
SPEAKER_08 |
transcript.pyannote[718].start |
4551.91034375 |
transcript.pyannote[718].end |
4551.92721875 |
transcript.pyannote[719].speaker |
SPEAKER_11 |
transcript.pyannote[719].start |
4551.92721875 |
transcript.pyannote[719].end |
4552.06221875 |
transcript.pyannote[720].speaker |
SPEAKER_08 |
transcript.pyannote[720].start |
4552.45034375 |
transcript.pyannote[720].end |
4554.03659375 |
transcript.pyannote[721].speaker |
SPEAKER_11 |
transcript.pyannote[721].start |
4554.03659375 |
transcript.pyannote[721].end |
4554.12096875 |
transcript.pyannote[722].speaker |
SPEAKER_08 |
transcript.pyannote[722].start |
4554.12096875 |
transcript.pyannote[722].end |
4554.15471875 |
transcript.pyannote[723].speaker |
SPEAKER_11 |
transcript.pyannote[723].start |
4554.15471875 |
transcript.pyannote[723].end |
4554.27284375 |
transcript.pyannote[724].speaker |
SPEAKER_08 |
transcript.pyannote[724].start |
4554.27284375 |
transcript.pyannote[724].end |
4556.98971875 |
transcript.pyannote[725].speaker |
SPEAKER_11 |
transcript.pyannote[725].start |
4554.34034375 |
transcript.pyannote[725].end |
4557.58034375 |
transcript.pyannote[726].speaker |
SPEAKER_11 |
transcript.pyannote[726].start |
4557.74909375 |
transcript.pyannote[726].end |
4563.92534375 |
transcript.pyannote[727].speaker |
SPEAKER_11 |
transcript.pyannote[727].start |
4564.70159375 |
transcript.pyannote[727].end |
4572.02534375 |
transcript.pyannote[728].speaker |
SPEAKER_08 |
transcript.pyannote[728].start |
4568.66721875 |
transcript.pyannote[728].end |
4568.93721875 |
transcript.pyannote[729].speaker |
SPEAKER_08 |
transcript.pyannote[729].start |
4569.76409375 |
transcript.pyannote[729].end |
4579.36596875 |
transcript.pyannote[730].speaker |
SPEAKER_08 |
transcript.pyannote[730].start |
4579.88909375 |
transcript.pyannote[730].end |
4581.62721875 |
transcript.pyannote[731].speaker |
SPEAKER_11 |
transcript.pyannote[731].start |
4583.11221875 |
transcript.pyannote[731].end |
4584.02346875 |
transcript.pyannote[732].speaker |
SPEAKER_11 |
transcript.pyannote[732].start |
4584.64784375 |
transcript.pyannote[732].end |
4588.74846875 |
transcript.pyannote[733].speaker |
SPEAKER_08 |
transcript.pyannote[733].start |
4585.54221875 |
transcript.pyannote[733].end |
4585.66034375 |
transcript.pyannote[734].speaker |
SPEAKER_08 |
transcript.pyannote[734].start |
4588.12409375 |
transcript.pyannote[734].end |
4599.12659375 |
transcript.pyannote[735].speaker |
SPEAKER_11 |
transcript.pyannote[735].start |
4600.34159375 |
transcript.pyannote[735].end |
4601.30346875 |
transcript.pyannote[736].speaker |
SPEAKER_11 |
transcript.pyannote[736].start |
4601.89409375 |
transcript.pyannote[736].end |
4603.86846875 |
transcript.pyannote[737].speaker |
SPEAKER_08 |
transcript.pyannote[737].start |
4603.96971875 |
transcript.pyannote[737].end |
4606.65284375 |
transcript.pyannote[738].speaker |
SPEAKER_08 |
transcript.pyannote[738].start |
4607.22659375 |
transcript.pyannote[738].end |
4619.96721875 |
transcript.pyannote[739].speaker |
SPEAKER_11 |
transcript.pyannote[739].start |
4620.00096875 |
transcript.pyannote[739].end |
4620.10221875 |
transcript.pyannote[740].speaker |
SPEAKER_11 |
transcript.pyannote[740].start |
4620.79409375 |
transcript.pyannote[740].end |
4632.30284375 |
transcript.pyannote[741].speaker |
SPEAKER_08 |
transcript.pyannote[741].start |
4623.22409375 |
transcript.pyannote[741].end |
4625.51909375 |
transcript.pyannote[742].speaker |
SPEAKER_08 |
transcript.pyannote[742].start |
4627.56096875 |
transcript.pyannote[742].end |
4628.15159375 |
transcript.pyannote[743].speaker |
SPEAKER_08 |
transcript.pyannote[743].start |
4628.65784375 |
transcript.pyannote[743].end |
4628.82659375 |
transcript.pyannote[744].speaker |
SPEAKER_11 |
transcript.pyannote[744].start |
4632.77534375 |
transcript.pyannote[744].end |
4639.25534375 |
transcript.pyannote[745].speaker |
SPEAKER_11 |
transcript.pyannote[745].start |
4639.79534375 |
transcript.pyannote[745].end |
4641.93846875 |
transcript.pyannote[746].speaker |
SPEAKER_08 |
transcript.pyannote[746].start |
4640.74034375 |
transcript.pyannote[746].end |
4642.27596875 |
transcript.pyannote[747].speaker |
SPEAKER_11 |
transcript.pyannote[747].start |
4642.27596875 |
transcript.pyannote[747].end |
4645.27971875 |
transcript.pyannote[748].speaker |
SPEAKER_08 |
transcript.pyannote[748].start |
4643.50784375 |
transcript.pyannote[748].end |
4651.96221875 |
transcript.pyannote[749].speaker |
SPEAKER_08 |
transcript.pyannote[749].start |
4652.36721875 |
transcript.pyannote[749].end |
4691.87159375 |
transcript.pyannote[750].speaker |
SPEAKER_11 |
transcript.pyannote[750].start |
4692.25971875 |
transcript.pyannote[750].end |
4692.29346875 |
transcript.pyannote[751].speaker |
SPEAKER_21 |
transcript.pyannote[751].start |
4692.29346875 |
transcript.pyannote[751].end |
4692.42846875 |
transcript.pyannote[752].speaker |
SPEAKER_11 |
transcript.pyannote[752].start |
4692.42846875 |
transcript.pyannote[752].end |
4692.76596875 |
transcript.pyannote[753].speaker |
SPEAKER_08 |
transcript.pyannote[753].start |
4692.44534375 |
transcript.pyannote[753].end |
4695.07784375 |
transcript.pyannote[754].speaker |
SPEAKER_21 |
transcript.pyannote[754].start |
4692.76596875 |
transcript.pyannote[754].end |
4692.78284375 |
transcript.pyannote[755].speaker |
SPEAKER_08 |
transcript.pyannote[755].start |
4696.19159375 |
transcript.pyannote[755].end |
4711.59846875 |
transcript.pyannote[756].speaker |
SPEAKER_08 |
transcript.pyannote[756].start |
4711.96971875 |
transcript.pyannote[756].end |
4719.44534375 |
transcript.pyannote[757].speaker |
SPEAKER_08 |
transcript.pyannote[757].start |
4720.71096875 |
transcript.pyannote[757].end |
4731.05534375 |
transcript.pyannote[758].speaker |
SPEAKER_08 |
transcript.pyannote[758].start |
4731.25784375 |
transcript.pyannote[758].end |
4732.23659375 |
transcript.pyannote[759].speaker |
SPEAKER_11 |
transcript.pyannote[759].start |
4733.36721875 |
transcript.pyannote[759].end |
4734.09284375 |
transcript.pyannote[760].speaker |
SPEAKER_11 |
transcript.pyannote[760].start |
4734.34596875 |
transcript.pyannote[760].end |
4758.81471875 |
transcript.pyannote[761].speaker |
SPEAKER_08 |
transcript.pyannote[761].start |
4739.47596875 |
transcript.pyannote[761].end |
4740.13409375 |
transcript.pyannote[762].speaker |
SPEAKER_08 |
transcript.pyannote[762].start |
4749.06096875 |
transcript.pyannote[762].end |
4749.70221875 |
transcript.pyannote[763].speaker |
SPEAKER_08 |
transcript.pyannote[763].start |
4750.10721875 |
transcript.pyannote[763].end |
4750.29284375 |
transcript.pyannote[764].speaker |
SPEAKER_08 |
transcript.pyannote[764].start |
4751.10284375 |
transcript.pyannote[764].end |
4752.01409375 |
transcript.pyannote[765].speaker |
SPEAKER_08 |
transcript.pyannote[765].start |
4756.48596875 |
transcript.pyannote[765].end |
4757.00909375 |
transcript.pyannote[766].speaker |
SPEAKER_08 |
transcript.pyannote[766].start |
4757.32971875 |
transcript.pyannote[766].end |
4787.95784375 |
transcript.pyannote[767].speaker |
SPEAKER_06 |
transcript.pyannote[767].start |
4788.58221875 |
transcript.pyannote[767].end |
4788.59909375 |
transcript.pyannote[768].speaker |
SPEAKER_08 |
transcript.pyannote[768].start |
4788.59909375 |
transcript.pyannote[768].end |
4790.11784375 |
transcript.pyannote[769].speaker |
SPEAKER_06 |
transcript.pyannote[769].start |
4788.66659375 |
transcript.pyannote[769].end |
4789.52721875 |
transcript.pyannote[770].speaker |
SPEAKER_06 |
transcript.pyannote[770].start |
4789.54409375 |
transcript.pyannote[770].end |
4789.91534375 |
transcript.pyannote[771].speaker |
SPEAKER_21 |
transcript.pyannote[771].start |
4790.35409375 |
transcript.pyannote[771].end |
4790.64096875 |
transcript.pyannote[772].speaker |
SPEAKER_06 |
transcript.pyannote[772].start |
4793.05409375 |
transcript.pyannote[772].end |
4796.15909375 |
transcript.pyannote[773].speaker |
SPEAKER_06 |
transcript.pyannote[773].start |
4797.39096875 |
transcript.pyannote[773].end |
4800.79971875 |
transcript.pyannote[774].speaker |
SPEAKER_17 |
transcript.pyannote[774].start |
4813.35471875 |
transcript.pyannote[774].end |
4814.89034375 |
transcript.pyannote[775].speaker |
SPEAKER_17 |
transcript.pyannote[775].start |
4814.92409375 |
transcript.pyannote[775].end |
4814.97471875 |
transcript.pyannote[776].speaker |
SPEAKER_17 |
transcript.pyannote[776].start |
4815.12659375 |
transcript.pyannote[776].end |
4816.03784375 |
transcript.pyannote[777].speaker |
SPEAKER_17 |
transcript.pyannote[777].start |
4818.65346875 |
transcript.pyannote[777].end |
4820.74596875 |
transcript.pyannote[778].speaker |
SPEAKER_06 |
transcript.pyannote[778].start |
4821.30284375 |
transcript.pyannote[778].end |
4822.14659375 |
transcript.pyannote[779].speaker |
SPEAKER_17 |
transcript.pyannote[779].start |
4826.29784375 |
transcript.pyannote[779].end |
4826.83784375 |
transcript.pyannote[780].speaker |
SPEAKER_17 |
transcript.pyannote[780].start |
4830.95534375 |
transcript.pyannote[780].end |
4831.74846875 |
transcript.pyannote[781].speaker |
SPEAKER_17 |
transcript.pyannote[781].start |
4831.88346875 |
transcript.pyannote[781].end |
4890.40596875 |
transcript.pyannote[782].speaker |
SPEAKER_17 |
transcript.pyannote[782].start |
4890.64221875 |
transcript.pyannote[782].end |
4934.36534375 |
transcript.pyannote[783].speaker |
SPEAKER_11 |
transcript.pyannote[783].start |
4934.66909375 |
transcript.pyannote[783].end |
4942.92096875 |
transcript.pyannote[784].speaker |
SPEAKER_11 |
transcript.pyannote[784].start |
4943.08971875 |
transcript.pyannote[784].end |
4948.79346875 |
transcript.pyannote[785].speaker |
SPEAKER_11 |
transcript.pyannote[785].start |
4949.48534375 |
transcript.pyannote[785].end |
4957.66971875 |
transcript.pyannote[786].speaker |
SPEAKER_11 |
transcript.pyannote[786].start |
4957.73721875 |
transcript.pyannote[786].end |
4963.30596875 |
transcript.pyannote[787].speaker |
SPEAKER_11 |
transcript.pyannote[787].start |
4963.44096875 |
transcript.pyannote[787].end |
4970.71409375 |
transcript.pyannote[788].speaker |
SPEAKER_11 |
transcript.pyannote[788].start |
4970.98409375 |
transcript.pyannote[788].end |
4972.08096875 |
transcript.pyannote[789].speaker |
SPEAKER_11 |
transcript.pyannote[789].start |
4972.50284375 |
transcript.pyannote[789].end |
4977.26159375 |
transcript.pyannote[790].speaker |
SPEAKER_11 |
transcript.pyannote[790].start |
4977.51471875 |
transcript.pyannote[790].end |
4978.76346875 |
transcript.pyannote[791].speaker |
SPEAKER_11 |
transcript.pyannote[791].start |
4978.91534375 |
transcript.pyannote[791].end |
4980.06284375 |
transcript.pyannote[792].speaker |
SPEAKER_11 |
transcript.pyannote[792].start |
4980.51846875 |
transcript.pyannote[792].end |
4984.21409375 |
transcript.pyannote[793].speaker |
SPEAKER_11 |
transcript.pyannote[793].start |
4984.53471875 |
transcript.pyannote[793].end |
4985.36159375 |
transcript.pyannote[794].speaker |
SPEAKER_11 |
transcript.pyannote[794].start |
4985.86784375 |
transcript.pyannote[794].end |
4990.10346875 |
transcript.pyannote[795].speaker |
SPEAKER_17 |
transcript.pyannote[795].start |
4990.10346875 |
transcript.pyannote[795].end |
4990.35659375 |
transcript.pyannote[796].speaker |
SPEAKER_11 |
transcript.pyannote[796].start |
4990.35659375 |
transcript.pyannote[796].end |
4991.53784375 |
transcript.pyannote[797].speaker |
SPEAKER_17 |
transcript.pyannote[797].start |
4991.09909375 |
transcript.pyannote[797].end |
4991.48721875 |
transcript.pyannote[798].speaker |
SPEAKER_17 |
transcript.pyannote[798].start |
4991.53784375 |
transcript.pyannote[798].end |
4999.73909375 |
transcript.pyannote[799].speaker |
SPEAKER_11 |
transcript.pyannote[799].start |
4999.21596875 |
transcript.pyannote[799].end |
4999.77284375 |
transcript.pyannote[800].speaker |
SPEAKER_17 |
transcript.pyannote[800].start |
4999.77284375 |
transcript.pyannote[800].end |
4999.94159375 |
transcript.pyannote[801].speaker |
SPEAKER_11 |
transcript.pyannote[801].start |
4999.94159375 |
transcript.pyannote[801].end |
5011.14659375 |
transcript.pyannote[802].speaker |
SPEAKER_11 |
transcript.pyannote[802].start |
5011.92284375 |
transcript.pyannote[802].end |
5016.44534375 |
transcript.pyannote[803].speaker |
SPEAKER_17 |
transcript.pyannote[803].start |
5014.16721875 |
transcript.pyannote[803].end |
5019.48284375 |
transcript.pyannote[804].speaker |
SPEAKER_11 |
transcript.pyannote[804].start |
5019.48284375 |
transcript.pyannote[804].end |
5020.39409375 |
transcript.pyannote[805].speaker |
SPEAKER_11 |
transcript.pyannote[805].start |
5020.90034375 |
transcript.pyannote[805].end |
5036.13846875 |
transcript.pyannote[806].speaker |
SPEAKER_17 |
transcript.pyannote[806].start |
5025.97971875 |
transcript.pyannote[806].end |
5026.01346875 |
transcript.pyannote[807].speaker |
SPEAKER_25 |
transcript.pyannote[807].start |
5026.01346875 |
transcript.pyannote[807].end |
5026.89096875 |
transcript.pyannote[808].speaker |
SPEAKER_17 |
transcript.pyannote[808].start |
5034.16409375 |
transcript.pyannote[808].end |
5043.96846875 |
transcript.pyannote[809].speaker |
SPEAKER_11 |
transcript.pyannote[809].start |
5044.25534375 |
transcript.pyannote[809].end |
5047.19159375 |
transcript.pyannote[810].speaker |
SPEAKER_11 |
transcript.pyannote[810].start |
5047.27596875 |
transcript.pyannote[810].end |
5052.57471875 |
transcript.pyannote[811].speaker |
SPEAKER_11 |
transcript.pyannote[811].start |
5052.91221875 |
transcript.pyannote[811].end |
5055.00471875 |
transcript.pyannote[812].speaker |
SPEAKER_17 |
transcript.pyannote[812].start |
5055.00471875 |
transcript.pyannote[812].end |
5072.52096875 |
transcript.pyannote[813].speaker |
SPEAKER_17 |
transcript.pyannote[813].start |
5072.97659375 |
transcript.pyannote[813].end |
5076.82409375 |
transcript.pyannote[814].speaker |
SPEAKER_17 |
transcript.pyannote[814].start |
5076.99284375 |
transcript.pyannote[814].end |
5082.93284375 |
transcript.pyannote[815].speaker |
SPEAKER_17 |
transcript.pyannote[815].start |
5086.12221875 |
transcript.pyannote[815].end |
5110.75971875 |
transcript.pyannote[816].speaker |
SPEAKER_11 |
transcript.pyannote[816].start |
5110.70909375 |
transcript.pyannote[816].end |
5110.72596875 |
transcript.pyannote[817].speaker |
SPEAKER_11 |
transcript.pyannote[817].start |
5110.75971875 |
transcript.pyannote[817].end |
5111.11409375 |
transcript.pyannote[818].speaker |
SPEAKER_17 |
transcript.pyannote[818].start |
5111.11409375 |
transcript.pyannote[818].end |
5111.24909375 |
transcript.pyannote[819].speaker |
SPEAKER_11 |
transcript.pyannote[819].start |
5111.24909375 |
transcript.pyannote[819].end |
5112.56534375 |
transcript.pyannote[820].speaker |
SPEAKER_17 |
transcript.pyannote[820].start |
5113.02096875 |
transcript.pyannote[820].end |
5113.03784375 |
transcript.pyannote[821].speaker |
SPEAKER_11 |
transcript.pyannote[821].start |
5113.03784375 |
transcript.pyannote[821].end |
5113.47659375 |
transcript.pyannote[822].speaker |
SPEAKER_11 |
transcript.pyannote[822].start |
5114.06721875 |
transcript.pyannote[822].end |
5114.67471875 |
transcript.pyannote[823].speaker |
SPEAKER_11 |
transcript.pyannote[823].start |
5116.24409375 |
transcript.pyannote[823].end |
5117.18909375 |
transcript.pyannote[824].speaker |
SPEAKER_11 |
transcript.pyannote[824].start |
5117.66159375 |
transcript.pyannote[824].end |
5126.77409375 |
transcript.pyannote[825].speaker |
SPEAKER_11 |
transcript.pyannote[825].start |
5127.14534375 |
transcript.pyannote[825].end |
5129.54159375 |
transcript.pyannote[826].speaker |
SPEAKER_17 |
transcript.pyannote[826].start |
5129.54159375 |
transcript.pyannote[826].end |
5133.43971875 |
transcript.pyannote[827].speaker |
SPEAKER_11 |
transcript.pyannote[827].start |
5130.52034375 |
transcript.pyannote[827].end |
5132.88284375 |
transcript.pyannote[828].speaker |
SPEAKER_11 |
transcript.pyannote[828].start |
5134.58721875 |
transcript.pyannote[828].end |
5142.02909375 |
transcript.pyannote[829].speaker |
SPEAKER_17 |
transcript.pyannote[829].start |
5139.10971875 |
transcript.pyannote[829].end |
5141.42159375 |
transcript.pyannote[830].speaker |
SPEAKER_11 |
transcript.pyannote[830].start |
5142.31596875 |
transcript.pyannote[830].end |
5143.15971875 |
transcript.pyannote[831].speaker |
SPEAKER_17 |
transcript.pyannote[831].start |
5142.40034375 |
transcript.pyannote[831].end |
5162.46471875 |
transcript.pyannote[832].speaker |
SPEAKER_11 |
transcript.pyannote[832].start |
5144.23971875 |
transcript.pyannote[832].end |
5145.77534375 |
transcript.pyannote[833].speaker |
SPEAKER_11 |
transcript.pyannote[833].start |
5163.29159375 |
transcript.pyannote[833].end |
5163.30846875 |
transcript.pyannote[834].speaker |
SPEAKER_17 |
transcript.pyannote[834].start |
5163.30846875 |
transcript.pyannote[834].end |
5164.40534375 |
transcript.pyannote[835].speaker |
SPEAKER_17 |
transcript.pyannote[835].start |
5164.96221875 |
transcript.pyannote[835].end |
5167.52721875 |
transcript.pyannote[836].speaker |
SPEAKER_11 |
transcript.pyannote[836].start |
5165.95784375 |
transcript.pyannote[836].end |
5167.74659375 |
transcript.pyannote[837].speaker |
SPEAKER_11 |
transcript.pyannote[837].start |
5168.05034375 |
transcript.pyannote[837].end |
5169.38346875 |
transcript.pyannote[838].speaker |
SPEAKER_11 |
transcript.pyannote[838].start |
5169.75471875 |
transcript.pyannote[838].end |
5170.53096875 |
transcript.pyannote[839].speaker |
SPEAKER_11 |
transcript.pyannote[839].start |
5170.66596875 |
transcript.pyannote[839].end |
5171.76284375 |
transcript.pyannote[840].speaker |
SPEAKER_11 |
transcript.pyannote[840].start |
5172.16784375 |
transcript.pyannote[840].end |
5173.33221875 |
transcript.pyannote[841].speaker |
SPEAKER_17 |
transcript.pyannote[841].start |
5172.25221875 |
transcript.pyannote[841].end |
5172.65721875 |
transcript.pyannote[842].speaker |
SPEAKER_11 |
transcript.pyannote[842].start |
5175.89721875 |
transcript.pyannote[842].end |
5177.16284375 |
transcript.pyannote[843].speaker |
SPEAKER_17 |
transcript.pyannote[843].start |
5177.16284375 |
transcript.pyannote[843].end |
5179.18784375 |
transcript.pyannote[844].speaker |
SPEAKER_11 |
transcript.pyannote[844].start |
5180.47034375 |
transcript.pyannote[844].end |
5181.71909375 |
transcript.pyannote[845].speaker |
SPEAKER_17 |
transcript.pyannote[845].start |
5182.00596875 |
transcript.pyannote[845].end |
5184.31784375 |
transcript.pyannote[846].speaker |
SPEAKER_11 |
transcript.pyannote[846].start |
5184.77346875 |
transcript.pyannote[846].end |
5185.71846875 |
transcript.pyannote[847].speaker |
SPEAKER_11 |
transcript.pyannote[847].start |
5186.29221875 |
transcript.pyannote[847].end |
5188.21596875 |
transcript.pyannote[848].speaker |
SPEAKER_17 |
transcript.pyannote[848].start |
5187.37221875 |
transcript.pyannote[848].end |
5199.15096875 |
transcript.pyannote[849].speaker |
SPEAKER_11 |
transcript.pyannote[849].start |
5191.23659375 |
transcript.pyannote[849].end |
5192.01284375 |
transcript.pyannote[850].speaker |
SPEAKER_11 |
transcript.pyannote[850].start |
5199.15096875 |
transcript.pyannote[850].end |
5203.84221875 |
transcript.pyannote[851].speaker |
SPEAKER_17 |
transcript.pyannote[851].start |
5201.24346875 |
transcript.pyannote[851].end |
5203.85909375 |
transcript.pyannote[852].speaker |
SPEAKER_11 |
transcript.pyannote[852].start |
5203.85909375 |
transcript.pyannote[852].end |
5203.92659375 |
transcript.pyannote[853].speaker |
SPEAKER_11 |
transcript.pyannote[853].start |
5204.24721875 |
transcript.pyannote[853].end |
5211.30096875 |
transcript.pyannote[854].speaker |
SPEAKER_17 |
transcript.pyannote[854].start |
5208.73596875 |
transcript.pyannote[854].end |
5209.52909375 |
transcript.pyannote[855].speaker |
SPEAKER_11 |
transcript.pyannote[855].start |
5212.04346875 |
transcript.pyannote[855].end |
5216.31284375 |
transcript.pyannote[856].speaker |
SPEAKER_17 |
transcript.pyannote[856].start |
5212.85346875 |
transcript.pyannote[856].end |
5213.57909375 |
transcript.pyannote[857].speaker |
SPEAKER_17 |
transcript.pyannote[857].start |
5214.45659375 |
transcript.pyannote[857].end |
5215.70534375 |
transcript.pyannote[858].speaker |
SPEAKER_17 |
transcript.pyannote[858].start |
5216.31284375 |
transcript.pyannote[858].end |
5216.34659375 |
transcript.pyannote[859].speaker |
SPEAKER_11 |
transcript.pyannote[859].start |
5217.17346875 |
transcript.pyannote[859].end |
5219.46846875 |
transcript.pyannote[860].speaker |
SPEAKER_11 |
transcript.pyannote[860].start |
5219.83971875 |
transcript.pyannote[860].end |
5223.34971875 |
transcript.pyannote[861].speaker |
SPEAKER_17 |
transcript.pyannote[861].start |
5221.99971875 |
transcript.pyannote[861].end |
5226.89346875 |
transcript.pyannote[862].speaker |
SPEAKER_25 |
transcript.pyannote[862].start |
5228.51346875 |
transcript.pyannote[862].end |
5228.88471875 |
transcript.pyannote[863].speaker |
SPEAKER_25 |
transcript.pyannote[863].start |
5228.96909375 |
transcript.pyannote[863].end |
5229.00284375 |
transcript.pyannote[864].speaker |
SPEAKER_17 |
transcript.pyannote[864].start |
5229.96471875 |
transcript.pyannote[864].end |
5245.92846875 |
transcript.pyannote[865].speaker |
SPEAKER_11 |
transcript.pyannote[865].start |
5238.84096875 |
transcript.pyannote[865].end |
5240.02221875 |
transcript.pyannote[866].speaker |
SPEAKER_11 |
transcript.pyannote[866].start |
5247.70034375 |
transcript.pyannote[866].end |
5248.93221875 |
transcript.pyannote[867].speaker |
SPEAKER_22 |
transcript.pyannote[867].start |
5252.32409375 |
transcript.pyannote[867].end |
5267.32596875 |
transcript.pyannote[868].speaker |
SPEAKER_17 |
transcript.pyannote[868].start |
5252.34096875 |
transcript.pyannote[868].end |
5253.16784375 |
transcript.pyannote[869].speaker |
SPEAKER_17 |
transcript.pyannote[869].start |
5265.67221875 |
transcript.pyannote[869].end |
5269.31721875 |
transcript.pyannote[870].speaker |
SPEAKER_22 |
transcript.pyannote[870].start |
5267.95034375 |
transcript.pyannote[870].end |
5276.35409375 |
transcript.pyannote[871].speaker |
SPEAKER_17 |
transcript.pyannote[871].start |
5274.88596875 |
transcript.pyannote[871].end |
5278.61534375 |
transcript.pyannote[872].speaker |
SPEAKER_22 |
transcript.pyannote[872].start |
5278.75034375 |
transcript.pyannote[872].end |
5284.09971875 |
transcript.pyannote[873].speaker |
SPEAKER_17 |
transcript.pyannote[873].start |
5281.65284375 |
transcript.pyannote[873].end |
5289.01034375 |
transcript.pyannote[874].speaker |
SPEAKER_22 |
transcript.pyannote[874].start |
5289.19596875 |
transcript.pyannote[874].end |
5296.06409375 |
transcript.pyannote[875].speaker |
SPEAKER_17 |
transcript.pyannote[875].start |
5291.89596875 |
transcript.pyannote[875].end |
5297.46471875 |
transcript.pyannote[876].speaker |
SPEAKER_22 |
transcript.pyannote[876].start |
5300.16471875 |
transcript.pyannote[876].end |
5305.10909375 |
transcript.pyannote[877].speaker |
SPEAKER_17 |
transcript.pyannote[877].start |
5305.10909375 |
transcript.pyannote[877].end |
5305.12596875 |
transcript.pyannote[878].speaker |
SPEAKER_22 |
transcript.pyannote[878].start |
5305.12596875 |
transcript.pyannote[878].end |
5306.32409375 |
transcript.pyannote[879].speaker |
SPEAKER_17 |
transcript.pyannote[879].start |
5305.21034375 |
transcript.pyannote[879].end |
5308.83846875 |
transcript.pyannote[880].speaker |
SPEAKER_22 |
transcript.pyannote[880].start |
5308.26471875 |
transcript.pyannote[880].end |
5313.74909375 |
transcript.pyannote[881].speaker |
SPEAKER_17 |
transcript.pyannote[881].start |
5312.31471875 |
transcript.pyannote[881].end |
5335.02846875 |
transcript.pyannote[882].speaker |
SPEAKER_22 |
transcript.pyannote[882].start |
5335.02846875 |
transcript.pyannote[882].end |
5354.40096875 |
transcript.pyannote[883].speaker |
SPEAKER_17 |
transcript.pyannote[883].start |
5345.27159375 |
transcript.pyannote[883].end |
5347.87034375 |
transcript.pyannote[884].speaker |
SPEAKER_17 |
transcript.pyannote[884].start |
5351.97096875 |
transcript.pyannote[884].end |
5361.42096875 |
transcript.pyannote[885].speaker |
SPEAKER_21 |
transcript.pyannote[885].start |
5360.81346875 |
transcript.pyannote[885].end |
5361.80909375 |
transcript.pyannote[886].speaker |
SPEAKER_17 |
transcript.pyannote[886].start |
5362.11284375 |
transcript.pyannote[886].end |
5368.17096875 |
transcript.pyannote[887].speaker |
SPEAKER_17 |
transcript.pyannote[887].start |
5368.30596875 |
transcript.pyannote[887].end |
5371.20846875 |
transcript.pyannote[888].speaker |
SPEAKER_21 |
transcript.pyannote[888].start |
5371.81596875 |
transcript.pyannote[888].end |
5372.13659375 |
transcript.pyannote[889].speaker |
SPEAKER_17 |
transcript.pyannote[889].start |
5372.69346875 |
transcript.pyannote[889].end |
5373.75659375 |
transcript.pyannote[890].speaker |
SPEAKER_21 |
transcript.pyannote[890].start |
5373.97596875 |
transcript.pyannote[890].end |
5374.51596875 |
transcript.pyannote[891].speaker |
SPEAKER_17 |
transcript.pyannote[891].start |
5374.85346875 |
transcript.pyannote[891].end |
5375.66346875 |
transcript.pyannote[892].speaker |
SPEAKER_24 |
transcript.pyannote[892].start |
5375.66346875 |
transcript.pyannote[892].end |
5375.68034375 |
transcript.pyannote[893].speaker |
SPEAKER_21 |
transcript.pyannote[893].start |
5376.94596875 |
transcript.pyannote[893].end |
5377.03034375 |
transcript.pyannote[894].speaker |
SPEAKER_24 |
transcript.pyannote[894].start |
5377.03034375 |
transcript.pyannote[894].end |
5377.04721875 |
transcript.pyannote[895].speaker |
SPEAKER_17 |
transcript.pyannote[895].start |
5377.04721875 |
transcript.pyannote[895].end |
5377.06409375 |
transcript.pyannote[896].speaker |
SPEAKER_24 |
transcript.pyannote[896].start |
5377.06409375 |
transcript.pyannote[896].end |
5388.65721875 |
transcript.pyannote[897].speaker |
SPEAKER_17 |
transcript.pyannote[897].start |
5386.85159375 |
transcript.pyannote[897].end |
5390.73284375 |
transcript.pyannote[898].speaker |
SPEAKER_17 |
transcript.pyannote[898].start |
5391.00284375 |
transcript.pyannote[898].end |
5393.02784375 |
transcript.pyannote[899].speaker |
SPEAKER_24 |
transcript.pyannote[899].start |
5393.02784375 |
transcript.pyannote[899].end |
5393.07846875 |
transcript.pyannote[900].speaker |
SPEAKER_17 |
transcript.pyannote[900].start |
5393.07846875 |
transcript.pyannote[900].end |
5393.97284375 |
transcript.pyannote[901].speaker |
SPEAKER_24 |
transcript.pyannote[901].start |
5393.97284375 |
transcript.pyannote[901].end |
5400.28409375 |
transcript.pyannote[902].speaker |
SPEAKER_17 |
transcript.pyannote[902].start |
5398.59659375 |
transcript.pyannote[902].end |
5398.69784375 |
transcript.pyannote[903].speaker |
SPEAKER_24 |
transcript.pyannote[903].start |
5400.62159375 |
transcript.pyannote[903].end |
5406.96659375 |
transcript.pyannote[904].speaker |
SPEAKER_17 |
transcript.pyannote[904].start |
5404.99221875 |
transcript.pyannote[904].end |
5405.93721875 |
transcript.pyannote[905].speaker |
SPEAKER_17 |
transcript.pyannote[905].start |
5406.96659375 |
transcript.pyannote[905].end |
5410.07159375 |
transcript.pyannote[906].speaker |
SPEAKER_24 |
transcript.pyannote[906].start |
5410.40909375 |
transcript.pyannote[906].end |
5410.76346875 |
transcript.pyannote[907].speaker |
SPEAKER_17 |
transcript.pyannote[907].start |
5411.23596875 |
transcript.pyannote[907].end |
5413.59846875 |
transcript.pyannote[908].speaker |
SPEAKER_24 |
transcript.pyannote[908].start |
5414.00346875 |
transcript.pyannote[908].end |
5414.10471875 |
transcript.pyannote[909].speaker |
SPEAKER_22 |
transcript.pyannote[909].start |
5414.10471875 |
transcript.pyannote[909].end |
5414.34096875 |
transcript.pyannote[910].speaker |
SPEAKER_17 |
transcript.pyannote[910].start |
5414.91471875 |
transcript.pyannote[910].end |
5415.72471875 |
transcript.pyannote[911].speaker |
SPEAKER_17 |
transcript.pyannote[911].start |
5415.75846875 |
transcript.pyannote[911].end |
5424.51659375 |
transcript.pyannote[912].speaker |
SPEAKER_24 |
transcript.pyannote[912].start |
5415.85971875 |
transcript.pyannote[912].end |
5415.97784375 |
transcript.pyannote[913].speaker |
SPEAKER_22 |
transcript.pyannote[913].start |
5415.97784375 |
transcript.pyannote[913].end |
5416.12971875 |
transcript.pyannote[914].speaker |
SPEAKER_24 |
transcript.pyannote[914].start |
5416.12971875 |
transcript.pyannote[914].end |
5416.14659375 |
transcript.pyannote[915].speaker |
SPEAKER_17 |
transcript.pyannote[915].start |
5424.85409375 |
transcript.pyannote[915].end |
5543.65409375 |
transcript.pyannote[916].speaker |
SPEAKER_25 |
transcript.pyannote[916].start |
5482.34721875 |
transcript.pyannote[916].end |
5483.96721875 |
transcript.pyannote[917].speaker |
SPEAKER_00 |
transcript.pyannote[917].start |
5483.96721875 |
transcript.pyannote[917].end |
5484.81096875 |
transcript.pyannote[918].speaker |
SPEAKER_06 |
transcript.pyannote[918].start |
5544.91971875 |
transcript.pyannote[918].end |
5548.68284375 |
transcript.pyannote[919].speaker |
SPEAKER_06 |
transcript.pyannote[919].start |
5549.71221875 |
transcript.pyannote[919].end |
5552.68221875 |
transcript.pyannote[920].speaker |
SPEAKER_18 |
transcript.pyannote[920].start |
5565.33846875 |
transcript.pyannote[920].end |
5567.66721875 |
transcript.pyannote[921].speaker |
SPEAKER_06 |
transcript.pyannote[921].start |
5568.19034375 |
transcript.pyannote[921].end |
5569.25346875 |
transcript.pyannote[922].speaker |
SPEAKER_18 |
transcript.pyannote[922].start |
5572.71284375 |
transcript.pyannote[922].end |
5573.32034375 |
transcript.pyannote[923].speaker |
SPEAKER_18 |
transcript.pyannote[923].start |
5573.42159375 |
transcript.pyannote[923].end |
5579.47971875 |
transcript.pyannote[924].speaker |
SPEAKER_21 |
transcript.pyannote[924].start |
5579.36159375 |
transcript.pyannote[924].end |
5579.98596875 |
transcript.pyannote[925].speaker |
SPEAKER_18 |
transcript.pyannote[925].start |
5579.59784375 |
transcript.pyannote[925].end |
5588.84534375 |
transcript.pyannote[926].speaker |
SPEAKER_11 |
transcript.pyannote[926].start |
5590.65096875 |
transcript.pyannote[926].end |
5591.61284375 |
transcript.pyannote[927].speaker |
SPEAKER_11 |
transcript.pyannote[927].start |
5592.42284375 |
transcript.pyannote[927].end |
5593.72221875 |
transcript.pyannote[928].speaker |
SPEAKER_18 |
transcript.pyannote[928].start |
5594.17784375 |
transcript.pyannote[928].end |
5594.73471875 |
transcript.pyannote[929].speaker |
SPEAKER_11 |
transcript.pyannote[929].start |
5595.29159375 |
transcript.pyannote[929].end |
5595.59534375 |
transcript.pyannote[930].speaker |
SPEAKER_11 |
transcript.pyannote[930].start |
5595.79784375 |
transcript.pyannote[930].end |
5599.00409375 |
transcript.pyannote[931].speaker |
SPEAKER_11 |
transcript.pyannote[931].start |
5599.24034375 |
transcript.pyannote[931].end |
5601.04596875 |
transcript.pyannote[932].speaker |
SPEAKER_18 |
transcript.pyannote[932].start |
5601.01221875 |
transcript.pyannote[932].end |
5605.63596875 |
transcript.pyannote[933].speaker |
SPEAKER_18 |
transcript.pyannote[933].start |
5605.93971875 |
transcript.pyannote[933].end |
5617.34721875 |
transcript.pyannote[934].speaker |
SPEAKER_11 |
transcript.pyannote[934].start |
5619.11909375 |
transcript.pyannote[934].end |
5624.95784375 |
transcript.pyannote[935].speaker |
SPEAKER_21 |
transcript.pyannote[935].start |
5621.48159375 |
transcript.pyannote[935].end |
5621.88659375 |
transcript.pyannote[936].speaker |
SPEAKER_21 |
transcript.pyannote[936].start |
5622.57846875 |
transcript.pyannote[936].end |
5623.65846875 |
transcript.pyannote[937].speaker |
SPEAKER_18 |
transcript.pyannote[937].start |
5625.14346875 |
transcript.pyannote[937].end |
5626.18971875 |
transcript.pyannote[938].speaker |
SPEAKER_18 |
transcript.pyannote[938].start |
5626.94909375 |
transcript.pyannote[938].end |
5628.73784375 |
transcript.pyannote[939].speaker |
SPEAKER_11 |
transcript.pyannote[939].start |
5626.98284375 |
transcript.pyannote[939].end |
5627.53971875 |
transcript.pyannote[940].speaker |
SPEAKER_11 |
transcript.pyannote[940].start |
5628.80534375 |
transcript.pyannote[940].end |
5633.44596875 |
transcript.pyannote[941].speaker |
SPEAKER_18 |
transcript.pyannote[941].start |
5629.44659375 |
transcript.pyannote[941].end |
5631.20159375 |
transcript.pyannote[942].speaker |
SPEAKER_11 |
transcript.pyannote[942].start |
5633.80034375 |
transcript.pyannote[942].end |
5636.71971875 |
transcript.pyannote[943].speaker |
SPEAKER_18 |
transcript.pyannote[943].start |
5636.75346875 |
transcript.pyannote[943].end |
5640.26346875 |
transcript.pyannote[944].speaker |
SPEAKER_11 |
transcript.pyannote[944].start |
5640.76971875 |
transcript.pyannote[944].end |
5641.56284375 |
transcript.pyannote[945].speaker |
SPEAKER_11 |
transcript.pyannote[945].start |
5642.11971875 |
transcript.pyannote[945].end |
5644.70159375 |
transcript.pyannote[946].speaker |
SPEAKER_11 |
transcript.pyannote[946].start |
5644.75221875 |
transcript.pyannote[946].end |
5645.68034375 |
transcript.pyannote[947].speaker |
SPEAKER_11 |
transcript.pyannote[947].start |
5646.15284375 |
transcript.pyannote[947].end |
5648.21159375 |
transcript.pyannote[948].speaker |
SPEAKER_11 |
transcript.pyannote[948].start |
5648.48159375 |
transcript.pyannote[948].end |
5656.54784375 |
transcript.pyannote[949].speaker |
SPEAKER_18 |
transcript.pyannote[949].start |
5655.70409375 |
transcript.pyannote[949].end |
5659.33221875 |
transcript.pyannote[950].speaker |
SPEAKER_06 |
transcript.pyannote[950].start |
5660.24346875 |
transcript.pyannote[950].end |
5662.47096875 |
transcript.pyannote[951].speaker |
SPEAKER_18 |
transcript.pyannote[951].start |
5664.34409375 |
transcript.pyannote[951].end |
5672.07284375 |
transcript.pyannote[952].speaker |
SPEAKER_22 |
transcript.pyannote[952].start |
5667.22971875 |
transcript.pyannote[952].end |
5667.76971875 |
transcript.pyannote[953].speaker |
SPEAKER_22 |
transcript.pyannote[953].start |
5672.46096875 |
transcript.pyannote[953].end |
5687.73284375 |
transcript.pyannote[954].speaker |
SPEAKER_18 |
transcript.pyannote[954].start |
5685.45471875 |
transcript.pyannote[954].end |
5693.52096875 |
transcript.pyannote[955].speaker |
SPEAKER_18 |
transcript.pyannote[955].start |
5693.75721875 |
transcript.pyannote[955].end |
5703.73034375 |
transcript.pyannote[956].speaker |
SPEAKER_18 |
transcript.pyannote[956].start |
5704.13534375 |
transcript.pyannote[956].end |
5717.04471875 |
transcript.pyannote[957].speaker |
SPEAKER_11 |
transcript.pyannote[957].start |
5716.89284375 |
transcript.pyannote[957].end |
5734.59471875 |
transcript.pyannote[958].speaker |
SPEAKER_18 |
transcript.pyannote[958].start |
5734.03784375 |
transcript.pyannote[958].end |
5735.03346875 |
transcript.pyannote[959].speaker |
SPEAKER_11 |
transcript.pyannote[959].start |
5736.63659375 |
transcript.pyannote[959].end |
5738.29034375 |
transcript.pyannote[960].speaker |
SPEAKER_11 |
transcript.pyannote[960].start |
5738.99909375 |
transcript.pyannote[960].end |
5740.83846875 |
transcript.pyannote[961].speaker |
SPEAKER_18 |
transcript.pyannote[961].start |
5740.85534375 |
transcript.pyannote[961].end |
5746.52534375 |
transcript.pyannote[962].speaker |
SPEAKER_11 |
transcript.pyannote[962].start |
5746.79534375 |
transcript.pyannote[962].end |
5747.53784375 |
transcript.pyannote[963].speaker |
SPEAKER_18 |
transcript.pyannote[963].start |
5748.44909375 |
transcript.pyannote[963].end |
5750.10284375 |
transcript.pyannote[964].speaker |
SPEAKER_11 |
transcript.pyannote[964].start |
5749.39409375 |
transcript.pyannote[964].end |
5750.33909375 |
transcript.pyannote[965].speaker |
SPEAKER_18 |
transcript.pyannote[965].start |
5750.55846875 |
transcript.pyannote[965].end |
5753.41034375 |
transcript.pyannote[966].speaker |
SPEAKER_18 |
transcript.pyannote[966].start |
5753.69721875 |
transcript.pyannote[966].end |
5755.45221875 |
transcript.pyannote[967].speaker |
SPEAKER_11 |
transcript.pyannote[967].start |
5754.72659375 |
transcript.pyannote[967].end |
5755.41846875 |
transcript.pyannote[968].speaker |
SPEAKER_11 |
transcript.pyannote[968].start |
5755.68846875 |
transcript.pyannote[968].end |
5758.25346875 |
transcript.pyannote[969].speaker |
SPEAKER_11 |
transcript.pyannote[969].start |
5759.13096875 |
transcript.pyannote[969].end |
5760.19409375 |
transcript.pyannote[970].speaker |
SPEAKER_18 |
transcript.pyannote[970].start |
5760.76784375 |
transcript.pyannote[970].end |
5763.29909375 |
transcript.pyannote[971].speaker |
SPEAKER_18 |
transcript.pyannote[971].start |
5763.36659375 |
transcript.pyannote[971].end |
5767.92284375 |
transcript.pyannote[972].speaker |
SPEAKER_18 |
transcript.pyannote[972].start |
5768.96909375 |
transcript.pyannote[972].end |
5770.77471875 |
transcript.pyannote[973].speaker |
SPEAKER_11 |
transcript.pyannote[973].start |
5771.43284375 |
transcript.pyannote[973].end |
5771.70284375 |
transcript.pyannote[974].speaker |
SPEAKER_18 |
transcript.pyannote[974].start |
5772.17534375 |
transcript.pyannote[974].end |
5773.23846875 |
transcript.pyannote[975].speaker |
SPEAKER_11 |
transcript.pyannote[975].start |
5775.43221875 |
transcript.pyannote[975].end |
5776.46159375 |
transcript.pyannote[976].speaker |
SPEAKER_18 |
transcript.pyannote[976].start |
5777.15346875 |
transcript.pyannote[976].end |
5778.65534375 |
transcript.pyannote[977].speaker |
SPEAKER_18 |
transcript.pyannote[977].start |
5779.24596875 |
transcript.pyannote[977].end |
5779.88721875 |
transcript.pyannote[978].speaker |
SPEAKER_18 |
transcript.pyannote[978].start |
5780.37659375 |
transcript.pyannote[978].end |
5781.60846875 |
transcript.pyannote[979].speaker |
SPEAKER_11 |
transcript.pyannote[979].start |
5781.32159375 |
transcript.pyannote[979].end |
5781.57471875 |
transcript.pyannote[980].speaker |
SPEAKER_11 |
transcript.pyannote[980].start |
5781.60846875 |
transcript.pyannote[980].end |
5783.56596875 |
transcript.pyannote[981].speaker |
SPEAKER_18 |
transcript.pyannote[981].start |
5783.68409375 |
transcript.pyannote[981].end |
5784.03846875 |
transcript.pyannote[982].speaker |
SPEAKER_18 |
transcript.pyannote[982].start |
5784.56159375 |
transcript.pyannote[982].end |
5787.36284375 |
transcript.pyannote[983].speaker |
SPEAKER_11 |
transcript.pyannote[983].start |
5786.65409375 |
transcript.pyannote[983].end |
5788.03784375 |
transcript.pyannote[984].speaker |
SPEAKER_18 |
transcript.pyannote[984].start |
5787.46409375 |
transcript.pyannote[984].end |
5788.17284375 |
transcript.pyannote[985].speaker |
SPEAKER_11 |
transcript.pyannote[985].start |
5788.39221875 |
transcript.pyannote[985].end |
5789.53971875 |
transcript.pyannote[986].speaker |
SPEAKER_18 |
transcript.pyannote[986].start |
5788.71284375 |
transcript.pyannote[986].end |
5790.72096875 |
transcript.pyannote[987].speaker |
SPEAKER_11 |
transcript.pyannote[987].start |
5789.82659375 |
transcript.pyannote[987].end |
5791.24409375 |
transcript.pyannote[988].speaker |
SPEAKER_11 |
transcript.pyannote[988].start |
5791.73346875 |
transcript.pyannote[988].end |
5792.83034375 |
transcript.pyannote[989].speaker |
SPEAKER_11 |
transcript.pyannote[989].start |
5793.35346875 |
transcript.pyannote[989].end |
5796.20534375 |
transcript.pyannote[990].speaker |
SPEAKER_11 |
transcript.pyannote[990].start |
5796.57659375 |
transcript.pyannote[990].end |
5800.06971875 |
transcript.pyannote[991].speaker |
SPEAKER_11 |
transcript.pyannote[991].start |
5800.39034375 |
transcript.pyannote[991].end |
5803.56284375 |
transcript.pyannote[992].speaker |
SPEAKER_11 |
transcript.pyannote[992].start |
5804.15346875 |
transcript.pyannote[992].end |
5807.24159375 |
transcript.pyannote[993].speaker |
SPEAKER_18 |
transcript.pyannote[993].start |
5807.24159375 |
transcript.pyannote[993].end |
5814.83534375 |
transcript.pyannote[994].speaker |
SPEAKER_21 |
transcript.pyannote[994].start |
5813.06346875 |
transcript.pyannote[994].end |
5813.29971875 |
transcript.pyannote[995].speaker |
SPEAKER_21 |
transcript.pyannote[995].start |
5814.44721875 |
transcript.pyannote[995].end |
5815.22346875 |
transcript.pyannote[996].speaker |
SPEAKER_18 |
transcript.pyannote[996].start |
5815.15596875 |
transcript.pyannote[996].end |
5820.72471875 |
transcript.pyannote[997].speaker |
SPEAKER_18 |
transcript.pyannote[997].start |
5821.04534375 |
transcript.pyannote[997].end |
5823.01971875 |
transcript.pyannote[998].speaker |
SPEAKER_18 |
transcript.pyannote[998].start |
5823.20534375 |
transcript.pyannote[998].end |
5831.28846875 |
transcript.pyannote[999].speaker |
SPEAKER_11 |
transcript.pyannote[999].start |
5831.77784375 |
transcript.pyannote[999].end |
5833.02659375 |
transcript.pyannote[1000].speaker |
SPEAKER_11 |
transcript.pyannote[1000].start |
5833.76909375 |
transcript.pyannote[1000].end |
5837.98784375 |
transcript.pyannote[1001].speaker |
SPEAKER_11 |
transcript.pyannote[1001].start |
5838.34221875 |
transcript.pyannote[1001].end |
5848.02846875 |
transcript.pyannote[1002].speaker |
SPEAKER_18 |
transcript.pyannote[1002].start |
5848.02846875 |
transcript.pyannote[1002].end |
5859.95909375 |
transcript.pyannote[1003].speaker |
SPEAKER_11 |
transcript.pyannote[1003].start |
5860.81971875 |
transcript.pyannote[1003].end |
5869.39221875 |
transcript.pyannote[1004].speaker |
SPEAKER_18 |
transcript.pyannote[1004].start |
5869.61159375 |
transcript.pyannote[1004].end |
5875.43346875 |
transcript.pyannote[1005].speaker |
SPEAKER_18 |
transcript.pyannote[1005].start |
5875.85534375 |
transcript.pyannote[1005].end |
5883.61784375 |
transcript.pyannote[1006].speaker |
SPEAKER_18 |
transcript.pyannote[1006].start |
5884.68096875 |
transcript.pyannote[1006].end |
5886.30096875 |
transcript.pyannote[1007].speaker |
SPEAKER_18 |
transcript.pyannote[1007].start |
5886.70596875 |
transcript.pyannote[1007].end |
5893.89471875 |
transcript.pyannote[1008].speaker |
SPEAKER_11 |
transcript.pyannote[1008].start |
5894.45159375 |
transcript.pyannote[1008].end |
5894.55284375 |
transcript.pyannote[1009].speaker |
SPEAKER_18 |
transcript.pyannote[1009].start |
5894.68784375 |
transcript.pyannote[1009].end |
5895.68346875 |
transcript.pyannote[1010].speaker |
SPEAKER_11 |
transcript.pyannote[1010].start |
5895.97034375 |
transcript.pyannote[1010].end |
5896.08846875 |
transcript.pyannote[1011].speaker |
SPEAKER_11 |
transcript.pyannote[1011].start |
5896.93221875 |
transcript.pyannote[1011].end |
5900.07096875 |
transcript.pyannote[1012].speaker |
SPEAKER_18 |
transcript.pyannote[1012].start |
5900.25659375 |
transcript.pyannote[1012].end |
5902.33221875 |
transcript.pyannote[1013].speaker |
SPEAKER_11 |
transcript.pyannote[1013].start |
5903.86784375 |
transcript.pyannote[1013].end |
5904.12096875 |
transcript.pyannote[1014].speaker |
SPEAKER_11 |
transcript.pyannote[1014].start |
5904.20534375 |
transcript.pyannote[1014].end |
5904.88034375 |
transcript.pyannote[1015].speaker |
SPEAKER_11 |
transcript.pyannote[1015].start |
5905.67346875 |
transcript.pyannote[1015].end |
5906.24721875 |
transcript.pyannote[1016].speaker |
SPEAKER_18 |
transcript.pyannote[1016].start |
5905.89284375 |
transcript.pyannote[1016].end |
5907.02346875 |
transcript.pyannote[1017].speaker |
SPEAKER_24 |
transcript.pyannote[1017].start |
5907.02346875 |
transcript.pyannote[1017].end |
5907.29346875 |
transcript.pyannote[1018].speaker |
SPEAKER_24 |
transcript.pyannote[1018].start |
5909.26784375 |
transcript.pyannote[1018].end |
5938.37721875 |
transcript.pyannote[1019].speaker |
SPEAKER_18 |
transcript.pyannote[1019].start |
5938.37721875 |
transcript.pyannote[1019].end |
5960.75346875 |
transcript.pyannote[1020].speaker |
SPEAKER_18 |
transcript.pyannote[1020].start |
5961.14159375 |
transcript.pyannote[1020].end |
5970.54096875 |
transcript.pyannote[1021].speaker |
SPEAKER_21 |
transcript.pyannote[1021].start |
5970.01784375 |
transcript.pyannote[1021].end |
5971.19909375 |
transcript.pyannote[1022].speaker |
SPEAKER_18 |
transcript.pyannote[1022].start |
5970.84471875 |
transcript.pyannote[1022].end |
5972.83596875 |
transcript.pyannote[1023].speaker |
SPEAKER_18 |
transcript.pyannote[1023].start |
5973.15659375 |
transcript.pyannote[1023].end |
5973.78096875 |
transcript.pyannote[1024].speaker |
SPEAKER_18 |
transcript.pyannote[1024].start |
5974.60784375 |
transcript.pyannote[1024].end |
5985.44159375 |
transcript.pyannote[1025].speaker |
SPEAKER_18 |
transcript.pyannote[1025].start |
5985.71159375 |
transcript.pyannote[1025].end |
5994.43596875 |
transcript.pyannote[1026].speaker |
SPEAKER_18 |
transcript.pyannote[1026].start |
5994.77346875 |
transcript.pyannote[1026].end |
6003.63284375 |
transcript.pyannote[1027].speaker |
SPEAKER_18 |
transcript.pyannote[1027].start |
6004.05471875 |
transcript.pyannote[1027].end |
6004.56096875 |
transcript.pyannote[1028].speaker |
SPEAKER_18 |
transcript.pyannote[1028].start |
6005.45534375 |
transcript.pyannote[1028].end |
6007.56471875 |
transcript.pyannote[1029].speaker |
SPEAKER_18 |
transcript.pyannote[1029].start |
6007.59846875 |
transcript.pyannote[1029].end |
6015.34409375 |
transcript.pyannote[1030].speaker |
SPEAKER_11 |
transcript.pyannote[1030].start |
6016.59284375 |
transcript.pyannote[1030].end |
6019.93409375 |
transcript.pyannote[1031].speaker |
SPEAKER_11 |
transcript.pyannote[1031].start |
6020.27159375 |
transcript.pyannote[1031].end |
6024.08534375 |
transcript.pyannote[1032].speaker |
SPEAKER_11 |
transcript.pyannote[1032].start |
6024.40596875 |
transcript.pyannote[1032].end |
6027.20721875 |
transcript.pyannote[1033].speaker |
SPEAKER_18 |
transcript.pyannote[1033].start |
6024.84471875 |
transcript.pyannote[1033].end |
6029.77221875 |
transcript.pyannote[1034].speaker |
SPEAKER_11 |
transcript.pyannote[1034].start |
6027.66284375 |
transcript.pyannote[1034].end |
6032.15159375 |
transcript.pyannote[1035].speaker |
SPEAKER_11 |
transcript.pyannote[1035].start |
6032.38784375 |
transcript.pyannote[1035].end |
6048.77346875 |
transcript.pyannote[1036].speaker |
SPEAKER_18 |
transcript.pyannote[1036].start |
6047.91284375 |
transcript.pyannote[1036].end |
6053.44784375 |
transcript.pyannote[1037].speaker |
SPEAKER_11 |
transcript.pyannote[1037].start |
6050.62971875 |
transcript.pyannote[1037].end |
6052.45221875 |
transcript.pyannote[1038].speaker |
SPEAKER_11 |
transcript.pyannote[1038].start |
6053.04284375 |
transcript.pyannote[1038].end |
6067.25159375 |
transcript.pyannote[1039].speaker |
SPEAKER_18 |
transcript.pyannote[1039].start |
6067.25159375 |
transcript.pyannote[1039].end |
6112.61159375 |
transcript.pyannote[1040].speaker |
SPEAKER_11 |
transcript.pyannote[1040].start |
6067.65659375 |
transcript.pyannote[1040].end |
6069.32721875 |
transcript.pyannote[1041].speaker |
SPEAKER_11 |
transcript.pyannote[1041].start |
6112.96596875 |
transcript.pyannote[1041].end |
6112.98284375 |
transcript.pyannote[1042].speaker |
SPEAKER_18 |
transcript.pyannote[1042].start |
6112.98284375 |
transcript.pyannote[1042].end |
6116.66159375 |
transcript.pyannote[1043].speaker |
SPEAKER_11 |
transcript.pyannote[1043].start |
6117.40409375 |
transcript.pyannote[1043].end |
6118.56846875 |
transcript.pyannote[1044].speaker |
SPEAKER_11 |
transcript.pyannote[1044].start |
6118.82159375 |
transcript.pyannote[1044].end |
6121.01534375 |
transcript.pyannote[1045].speaker |
SPEAKER_18 |
transcript.pyannote[1045].start |
6118.87221875 |
transcript.pyannote[1045].end |
6119.29409375 |
transcript.pyannote[1046].speaker |
SPEAKER_18 |
transcript.pyannote[1046].start |
6121.01534375 |
transcript.pyannote[1046].end |
6122.43284375 |
transcript.pyannote[1047].speaker |
SPEAKER_06 |
transcript.pyannote[1047].start |
6125.87534375 |
transcript.pyannote[1047].end |
6129.04784375 |
transcript.pyannote[1048].speaker |
SPEAKER_11 |
transcript.pyannote[1048].start |
6126.02721875 |
transcript.pyannote[1048].end |
6126.07784375 |
transcript.pyannote[1049].speaker |
SPEAKER_18 |
transcript.pyannote[1049].start |
6126.07784375 |
transcript.pyannote[1049].end |
6126.98909375 |
transcript.pyannote[1050].speaker |
SPEAKER_06 |
transcript.pyannote[1050].start |
6131.68034375 |
transcript.pyannote[1050].end |
6135.08909375 |
transcript.pyannote[1051].speaker |
SPEAKER_01 |
transcript.pyannote[1051].start |
6143.27346875 |
transcript.pyannote[1051].end |
6144.52221875 |
transcript.pyannote[1052].speaker |
SPEAKER_01 |
transcript.pyannote[1052].start |
6144.77534375 |
transcript.pyannote[1052].end |
6155.37284375 |
transcript.pyannote[1053].speaker |
SPEAKER_21 |
transcript.pyannote[1053].start |
6147.96471875 |
transcript.pyannote[1053].end |
6148.03221875 |
transcript.pyannote[1054].speaker |
SPEAKER_11 |
transcript.pyannote[1054].start |
6148.03221875 |
transcript.pyannote[1054].end |
6148.48784375 |
transcript.pyannote[1055].speaker |
SPEAKER_21 |
transcript.pyannote[1055].start |
6148.48784375 |
transcript.pyannote[1055].end |
6148.50471875 |
transcript.pyannote[1056].speaker |
SPEAKER_21 |
transcript.pyannote[1056].start |
6149.56784375 |
transcript.pyannote[1056].end |
6149.66909375 |
transcript.pyannote[1057].speaker |
SPEAKER_11 |
transcript.pyannote[1057].start |
6149.66909375 |
transcript.pyannote[1057].end |
6149.85471875 |
transcript.pyannote[1058].speaker |
SPEAKER_06 |
transcript.pyannote[1058].start |
6149.85471875 |
transcript.pyannote[1058].end |
6150.15846875 |
transcript.pyannote[1059].speaker |
SPEAKER_11 |
transcript.pyannote[1059].start |
6150.15846875 |
transcript.pyannote[1059].end |
6150.25971875 |
transcript.pyannote[1060].speaker |
SPEAKER_06 |
transcript.pyannote[1060].start |
6157.46534375 |
transcript.pyannote[1060].end |
6159.55784375 |
transcript.pyannote[1061].speaker |
SPEAKER_11 |
transcript.pyannote[1061].start |
6157.56659375 |
transcript.pyannote[1061].end |
6157.97159375 |
transcript.pyannote[1062].speaker |
SPEAKER_02 |
transcript.pyannote[1062].start |
6157.97159375 |
transcript.pyannote[1062].end |
6158.17409375 |
transcript.pyannote[1063].speaker |
SPEAKER_01 |
transcript.pyannote[1063].start |
6160.01346875 |
transcript.pyannote[1063].end |
6160.30034375 |
transcript.pyannote[1064].speaker |
SPEAKER_01 |
transcript.pyannote[1064].start |
6163.15221875 |
transcript.pyannote[1064].end |
6165.58221875 |
transcript.pyannote[1065].speaker |
SPEAKER_01 |
transcript.pyannote[1065].start |
6166.44284375 |
transcript.pyannote[1065].end |
6171.16784375 |
transcript.pyannote[1066].speaker |
SPEAKER_01 |
transcript.pyannote[1066].start |
6171.55596875 |
transcript.pyannote[1066].end |
6174.52596875 |
transcript.pyannote[1067].speaker |
SPEAKER_01 |
transcript.pyannote[1067].start |
6174.76221875 |
transcript.pyannote[1067].end |
6199.85534375 |
transcript.pyannote[1068].speaker |
SPEAKER_11 |
transcript.pyannote[1068].start |
6198.70784375 |
transcript.pyannote[1068].end |
6198.97784375 |
transcript.pyannote[1069].speaker |
SPEAKER_11 |
transcript.pyannote[1069].start |
6199.58534375 |
transcript.pyannote[1069].end |
6201.64409375 |
transcript.pyannote[1070].speaker |
SPEAKER_01 |
transcript.pyannote[1070].start |
6201.88034375 |
transcript.pyannote[1070].end |
6250.81784375 |
transcript.pyannote[1071].speaker |
SPEAKER_01 |
transcript.pyannote[1071].start |
6251.17221875 |
transcript.pyannote[1071].end |
6282.89721875 |
transcript.pyannote[1072].speaker |
SPEAKER_11 |
transcript.pyannote[1072].start |
6283.67346875 |
transcript.pyannote[1072].end |
6284.14596875 |
transcript.pyannote[1073].speaker |
SPEAKER_11 |
transcript.pyannote[1073].start |
6284.48346875 |
transcript.pyannote[1073].end |
6290.64284375 |
transcript.pyannote[1074].speaker |
SPEAKER_01 |
transcript.pyannote[1074].start |
6289.09034375 |
transcript.pyannote[1074].end |
6289.12409375 |
transcript.pyannote[1075].speaker |
SPEAKER_21 |
transcript.pyannote[1075].start |
6289.12409375 |
transcript.pyannote[1075].end |
6289.61346875 |
transcript.pyannote[1076].speaker |
SPEAKER_01 |
transcript.pyannote[1076].start |
6290.32221875 |
transcript.pyannote[1076].end |
6290.35596875 |
transcript.pyannote[1077].speaker |
SPEAKER_21 |
transcript.pyannote[1077].start |
6290.35596875 |
transcript.pyannote[1077].end |
6290.38971875 |
transcript.pyannote[1078].speaker |
SPEAKER_01 |
transcript.pyannote[1078].start |
6290.38971875 |
transcript.pyannote[1078].end |
6290.47409375 |
transcript.pyannote[1079].speaker |
SPEAKER_21 |
transcript.pyannote[1079].start |
6290.64284375 |
transcript.pyannote[1079].end |
6291.26721875 |
transcript.pyannote[1080].speaker |
SPEAKER_11 |
transcript.pyannote[1080].start |
6291.09846875 |
transcript.pyannote[1080].end |
6302.38784375 |
transcript.pyannote[1081].speaker |
SPEAKER_21 |
transcript.pyannote[1081].start |
6295.95846875 |
transcript.pyannote[1081].end |
6296.38034375 |
transcript.pyannote[1082].speaker |
SPEAKER_01 |
transcript.pyannote[1082].start |
6296.38034375 |
transcript.pyannote[1082].end |
6296.41409375 |
transcript.pyannote[1083].speaker |
SPEAKER_01 |
transcript.pyannote[1083].start |
6302.38784375 |
transcript.pyannote[1083].end |
6310.38659375 |
transcript.pyannote[1084].speaker |
SPEAKER_11 |
transcript.pyannote[1084].start |
6304.68284375 |
transcript.pyannote[1084].end |
6305.05409375 |
transcript.pyannote[1085].speaker |
SPEAKER_11 |
transcript.pyannote[1085].start |
6306.52221875 |
transcript.pyannote[1085].end |
6307.56846875 |
transcript.pyannote[1086].speaker |
SPEAKER_11 |
transcript.pyannote[1086].start |
6308.39534375 |
transcript.pyannote[1086].end |
6310.99409375 |
transcript.pyannote[1087].speaker |
SPEAKER_11 |
transcript.pyannote[1087].start |
6311.19659375 |
transcript.pyannote[1087].end |
6312.58034375 |
transcript.pyannote[1088].speaker |
SPEAKER_01 |
transcript.pyannote[1088].start |
6311.38221875 |
transcript.pyannote[1088].end |
6311.93909375 |
transcript.pyannote[1089].speaker |
SPEAKER_11 |
transcript.pyannote[1089].start |
6312.95159375 |
transcript.pyannote[1089].end |
6314.26784375 |
transcript.pyannote[1090].speaker |
SPEAKER_01 |
transcript.pyannote[1090].start |
6314.08221875 |
transcript.pyannote[1090].end |
6356.94471875 |
transcript.pyannote[1091].speaker |
SPEAKER_20 |
transcript.pyannote[1091].start |
6357.83909375 |
transcript.pyannote[1091].end |
6367.81221875 |
transcript.pyannote[1092].speaker |
SPEAKER_01 |
transcript.pyannote[1092].start |
6368.11596875 |
transcript.pyannote[1092].end |
6368.60534375 |
transcript.pyannote[1093].speaker |
SPEAKER_01 |
transcript.pyannote[1093].start |
6368.82471875 |
transcript.pyannote[1093].end |
6391.03221875 |
transcript.pyannote[1094].speaker |
SPEAKER_01 |
transcript.pyannote[1094].start |
6391.16721875 |
transcript.pyannote[1094].end |
6392.01096875 |
transcript.pyannote[1095].speaker |
SPEAKER_01 |
transcript.pyannote[1095].start |
6392.29784375 |
transcript.pyannote[1095].end |
6398.33909375 |
transcript.pyannote[1096].speaker |
SPEAKER_01 |
transcript.pyannote[1096].start |
6398.38971875 |
transcript.pyannote[1096].end |
6410.89409375 |
transcript.pyannote[1097].speaker |
SPEAKER_01 |
transcript.pyannote[1097].start |
6411.61971875 |
transcript.pyannote[1097].end |
6414.85971875 |
transcript.pyannote[1098].speaker |
SPEAKER_11 |
transcript.pyannote[1098].start |
6415.70346875 |
transcript.pyannote[1098].end |
6419.97284375 |
transcript.pyannote[1099].speaker |
SPEAKER_01 |
transcript.pyannote[1099].start |
6418.52159375 |
transcript.pyannote[1099].end |
6419.51721875 |
transcript.pyannote[1100].speaker |
SPEAKER_01 |
transcript.pyannote[1100].start |
6419.97284375 |
transcript.pyannote[1100].end |
6420.42846875 |
transcript.pyannote[1101].speaker |
SPEAKER_11 |
transcript.pyannote[1101].start |
6420.39471875 |
transcript.pyannote[1101].end |
6422.77409375 |
transcript.pyannote[1102].speaker |
SPEAKER_01 |
transcript.pyannote[1102].start |
6422.30159375 |
transcript.pyannote[1102].end |
6445.67346875 |
transcript.pyannote[1103].speaker |
SPEAKER_11 |
transcript.pyannote[1103].start |
6445.77471875 |
transcript.pyannote[1103].end |
6449.87534375 |
transcript.pyannote[1104].speaker |
SPEAKER_11 |
transcript.pyannote[1104].start |
6450.12846875 |
transcript.pyannote[1104].end |
6452.99721875 |
transcript.pyannote[1105].speaker |
SPEAKER_11 |
transcript.pyannote[1105].start |
6453.38534375 |
transcript.pyannote[1105].end |
6456.18659375 |
transcript.pyannote[1106].speaker |
SPEAKER_11 |
transcript.pyannote[1106].start |
6457.13159375 |
transcript.pyannote[1106].end |
6458.65034375 |
transcript.pyannote[1107].speaker |
SPEAKER_11 |
transcript.pyannote[1107].start |
6458.71784375 |
transcript.pyannote[1107].end |
6458.75159375 |
transcript.pyannote[1108].speaker |
SPEAKER_21 |
transcript.pyannote[1108].start |
6458.75159375 |
transcript.pyannote[1108].end |
6459.13971875 |
transcript.pyannote[1109].speaker |
SPEAKER_11 |
transcript.pyannote[1109].start |
6459.03846875 |
transcript.pyannote[1109].end |
6461.01284375 |
transcript.pyannote[1110].speaker |
SPEAKER_11 |
transcript.pyannote[1110].start |
6461.40096875 |
transcript.pyannote[1110].end |
6463.22346875 |
transcript.pyannote[1111].speaker |
SPEAKER_11 |
transcript.pyannote[1111].start |
6463.37534375 |
transcript.pyannote[1111].end |
6464.67471875 |
transcript.pyannote[1112].speaker |
SPEAKER_11 |
transcript.pyannote[1112].start |
6464.97846875 |
transcript.pyannote[1112].end |
6468.58971875 |
transcript.pyannote[1113].speaker |
SPEAKER_11 |
transcript.pyannote[1113].start |
6468.74159375 |
transcript.pyannote[1113].end |
6469.19721875 |
transcript.pyannote[1114].speaker |
SPEAKER_11 |
transcript.pyannote[1114].start |
6470.09159375 |
transcript.pyannote[1114].end |
6479.72721875 |
transcript.pyannote[1115].speaker |
SPEAKER_11 |
transcript.pyannote[1115].start |
6479.74409375 |
transcript.pyannote[1115].end |
6483.33846875 |
transcript.pyannote[1116].speaker |
SPEAKER_11 |
transcript.pyannote[1116].start |
6483.37221875 |
transcript.pyannote[1116].end |
6486.64596875 |
transcript.pyannote[1117].speaker |
SPEAKER_01 |
transcript.pyannote[1117].start |
6486.64596875 |
transcript.pyannote[1117].end |
6521.22284375 |
transcript.pyannote[1118].speaker |
SPEAKER_25 |
transcript.pyannote[1118].start |
6524.12534375 |
transcript.pyannote[1118].end |
6526.30221875 |
transcript.pyannote[1119].speaker |
SPEAKER_11 |
transcript.pyannote[1119].start |
6526.79159375 |
transcript.pyannote[1119].end |
6527.93909375 |
transcript.pyannote[1120].speaker |
SPEAKER_11 |
transcript.pyannote[1120].start |
6528.74909375 |
transcript.pyannote[1120].end |
6533.27159375 |
transcript.pyannote[1121].speaker |
SPEAKER_01 |
transcript.pyannote[1121].start |
6533.27159375 |
transcript.pyannote[1121].end |
6554.66909375 |
transcript.pyannote[1122].speaker |
SPEAKER_11 |
transcript.pyannote[1122].start |
6533.30534375 |
transcript.pyannote[1122].end |
6534.14909375 |
transcript.pyannote[1123].speaker |
SPEAKER_11 |
transcript.pyannote[1123].start |
6554.48346875 |
transcript.pyannote[1123].end |
6555.42846875 |
transcript.pyannote[1124].speaker |
SPEAKER_01 |
transcript.pyannote[1124].start |
6555.42846875 |
transcript.pyannote[1124].end |
6555.51284375 |
transcript.pyannote[1125].speaker |
SPEAKER_11 |
transcript.pyannote[1125].start |
6555.51284375 |
transcript.pyannote[1125].end |
6558.09471875 |
transcript.pyannote[1126].speaker |
SPEAKER_01 |
transcript.pyannote[1126].start |
6558.09471875 |
transcript.pyannote[1126].end |
6560.28846875 |
transcript.pyannote[1127].speaker |
SPEAKER_11 |
transcript.pyannote[1127].start |
6558.61784375 |
transcript.pyannote[1127].end |
6562.68471875 |
transcript.pyannote[1128].speaker |
SPEAKER_01 |
transcript.pyannote[1128].start |
6562.66784375 |
transcript.pyannote[1128].end |
6563.19096875 |
transcript.pyannote[1129].speaker |
SPEAKER_11 |
transcript.pyannote[1129].start |
6562.88721875 |
transcript.pyannote[1129].end |
6565.48596875 |
transcript.pyannote[1130].speaker |
SPEAKER_01 |
transcript.pyannote[1130].start |
6565.06409375 |
transcript.pyannote[1130].end |
6566.17784375 |
transcript.pyannote[1131].speaker |
SPEAKER_11 |
transcript.pyannote[1131].start |
6565.82346875 |
transcript.pyannote[1131].end |
6567.93284375 |
transcript.pyannote[1132].speaker |
SPEAKER_01 |
transcript.pyannote[1132].start |
6567.98346875 |
transcript.pyannote[1132].end |
6575.39159375 |
transcript.pyannote[1133].speaker |
SPEAKER_11 |
transcript.pyannote[1133].start |
6568.43909375 |
transcript.pyannote[1133].end |
6568.89471875 |
transcript.pyannote[1134].speaker |
SPEAKER_01 |
transcript.pyannote[1134].start |
6576.08346875 |
transcript.pyannote[1134].end |
6578.96909375 |
transcript.pyannote[1135].speaker |
SPEAKER_01 |
transcript.pyannote[1135].start |
6579.57659375 |
transcript.pyannote[1135].end |
6602.12159375 |
transcript.pyannote[1136].speaker |
SPEAKER_01 |
transcript.pyannote[1136].start |
6602.72909375 |
transcript.pyannote[1136].end |
6605.10846875 |
transcript.pyannote[1137].speaker |
SPEAKER_01 |
transcript.pyannote[1137].start |
6606.34034375 |
transcript.pyannote[1137].end |
6608.21346875 |
transcript.pyannote[1138].speaker |
SPEAKER_01 |
transcript.pyannote[1138].start |
6608.36534375 |
transcript.pyannote[1138].end |
6634.48784375 |
transcript.pyannote[1139].speaker |
SPEAKER_01 |
transcript.pyannote[1139].start |
6635.04471875 |
transcript.pyannote[1139].end |
6638.25096875 |
transcript.pyannote[1140].speaker |
SPEAKER_01 |
transcript.pyannote[1140].start |
6638.38596875 |
transcript.pyannote[1140].end |
6667.34346875 |
transcript.pyannote[1141].speaker |
SPEAKER_01 |
transcript.pyannote[1141].start |
6667.76534375 |
transcript.pyannote[1141].end |
6670.00971875 |
transcript.pyannote[1142].speaker |
SPEAKER_01 |
transcript.pyannote[1142].start |
6670.43159375 |
transcript.pyannote[1142].end |
6671.49471875 |
transcript.pyannote[1143].speaker |
SPEAKER_01 |
transcript.pyannote[1143].start |
6671.88284375 |
transcript.pyannote[1143].end |
6673.09784375 |
transcript.pyannote[1144].speaker |
SPEAKER_01 |
transcript.pyannote[1144].start |
6673.65471875 |
transcript.pyannote[1144].end |
6708.02909375 |
transcript.pyannote[1145].speaker |
SPEAKER_01 |
transcript.pyannote[1145].start |
6708.11346875 |
transcript.pyannote[1145].end |
6717.39471875 |
transcript.pyannote[1146].speaker |
SPEAKER_01 |
transcript.pyannote[1146].start |
6717.64784375 |
transcript.pyannote[1146].end |
6717.66471875 |
transcript.pyannote[1147].speaker |
SPEAKER_21 |
transcript.pyannote[1147].start |
6717.66471875 |
transcript.pyannote[1147].end |
6717.76596875 |
transcript.pyannote[1148].speaker |
SPEAKER_01 |
transcript.pyannote[1148].start |
6717.76596875 |
transcript.pyannote[1148].end |
6721.15784375 |
transcript.pyannote[1149].speaker |
SPEAKER_01 |
transcript.pyannote[1149].start |
6721.83284375 |
transcript.pyannote[1149].end |
6727.38471875 |
transcript.pyannote[1150].speaker |
SPEAKER_11 |
transcript.pyannote[1150].start |
6727.70534375 |
transcript.pyannote[1150].end |
6732.26159375 |
transcript.pyannote[1151].speaker |
SPEAKER_11 |
transcript.pyannote[1151].start |
6732.56534375 |
transcript.pyannote[1151].end |
6735.78846875 |
transcript.pyannote[1152].speaker |
SPEAKER_11 |
transcript.pyannote[1152].start |
6736.04159375 |
transcript.pyannote[1152].end |
6737.25659375 |
transcript.pyannote[1153].speaker |
SPEAKER_11 |
transcript.pyannote[1153].start |
6737.74596875 |
transcript.pyannote[1153].end |
6746.95971875 |
transcript.pyannote[1154].speaker |
SPEAKER_11 |
transcript.pyannote[1154].start |
6747.58409375 |
transcript.pyannote[1154].end |
6748.03971875 |
transcript.pyannote[1155].speaker |
SPEAKER_11 |
transcript.pyannote[1155].start |
6748.41096875 |
transcript.pyannote[1155].end |
6752.84909375 |
transcript.pyannote[1156].speaker |
SPEAKER_01 |
transcript.pyannote[1156].start |
6753.00096875 |
transcript.pyannote[1156].end |
6758.29971875 |
transcript.pyannote[1157].speaker |
SPEAKER_01 |
transcript.pyannote[1157].start |
6758.78909375 |
transcript.pyannote[1157].end |
6761.32034375 |
transcript.pyannote[1158].speaker |
SPEAKER_01 |
transcript.pyannote[1158].start |
6761.79284375 |
transcript.pyannote[1158].end |
6784.82721875 |
transcript.pyannote[1159].speaker |
SPEAKER_01 |
transcript.pyannote[1159].start |
6785.28284375 |
transcript.pyannote[1159].end |
6786.46409375 |
transcript.pyannote[1160].speaker |
SPEAKER_11 |
transcript.pyannote[1160].start |
6785.53596875 |
transcript.pyannote[1160].end |
6788.33721875 |
transcript.pyannote[1161].speaker |
SPEAKER_01 |
transcript.pyannote[1161].start |
6788.33721875 |
transcript.pyannote[1161].end |
6788.80971875 |
transcript.pyannote[1162].speaker |
SPEAKER_11 |
transcript.pyannote[1162].start |
6788.70846875 |
transcript.pyannote[1162].end |
6795.64409375 |
transcript.pyannote[1163].speaker |
SPEAKER_01 |
transcript.pyannote[1163].start |
6794.05784375 |
transcript.pyannote[1163].end |
6794.54721875 |
transcript.pyannote[1164].speaker |
SPEAKER_21 |
transcript.pyannote[1164].start |
6794.54721875 |
transcript.pyannote[1164].end |
6794.58096875 |
transcript.pyannote[1165].speaker |
SPEAKER_11 |
transcript.pyannote[1165].start |
6795.96471875 |
transcript.pyannote[1165].end |
6801.14534375 |
transcript.pyannote[1166].speaker |
SPEAKER_11 |
transcript.pyannote[1166].start |
6801.55034375 |
transcript.pyannote[1166].end |
6804.08159375 |
transcript.pyannote[1167].speaker |
SPEAKER_11 |
transcript.pyannote[1167].start |
6804.60471875 |
transcript.pyannote[1167].end |
6807.06846875 |
transcript.pyannote[1168].speaker |
SPEAKER_11 |
transcript.pyannote[1168].start |
6807.13596875 |
transcript.pyannote[1168].end |
6809.27909375 |
transcript.pyannote[1169].speaker |
SPEAKER_01 |
transcript.pyannote[1169].start |
6808.90784375 |
transcript.pyannote[1169].end |
6819.47159375 |
transcript.pyannote[1170].speaker |
SPEAKER_06 |
transcript.pyannote[1170].start |
6819.16784375 |
transcript.pyannote[1170].end |
6819.35346875 |
transcript.pyannote[1171].speaker |
SPEAKER_06 |
transcript.pyannote[1171].start |
6820.65284375 |
transcript.pyannote[1171].end |
6823.85909375 |
transcript.pyannote[1172].speaker |
SPEAKER_06 |
transcript.pyannote[1172].start |
6823.97721875 |
transcript.pyannote[1172].end |
6827.65596875 |
transcript.pyannote[1173].speaker |
SPEAKER_06 |
transcript.pyannote[1173].start |
6827.92596875 |
transcript.pyannote[1173].end |
6831.13221875 |
transcript.pyannote[1174].speaker |
SPEAKER_13 |
transcript.pyannote[1174].start |
6839.48534375 |
transcript.pyannote[1174].end |
6841.10534375 |
transcript.pyannote[1175].speaker |
SPEAKER_06 |
transcript.pyannote[1175].start |
6841.57784375 |
transcript.pyannote[1175].end |
6842.38784375 |
transcript.pyannote[1176].speaker |
SPEAKER_06 |
transcript.pyannote[1176].start |
6846.69096875 |
transcript.pyannote[1176].end |
6847.24784375 |
transcript.pyannote[1177].speaker |
SPEAKER_13 |
transcript.pyannote[1177].start |
6848.15909375 |
transcript.pyannote[1177].end |
6853.28909375 |
transcript.pyannote[1178].speaker |
SPEAKER_13 |
transcript.pyannote[1178].start |
6853.89659375 |
transcript.pyannote[1178].end |
6854.20034375 |
transcript.pyannote[1179].speaker |
SPEAKER_13 |
transcript.pyannote[1179].start |
6854.92596875 |
transcript.pyannote[1179].end |
6855.21284375 |
transcript.pyannote[1180].speaker |
SPEAKER_13 |
transcript.pyannote[1180].start |
6857.65971875 |
transcript.pyannote[1180].end |
6860.15721875 |
transcript.pyannote[1181].speaker |
SPEAKER_13 |
transcript.pyannote[1181].start |
6860.34284375 |
transcript.pyannote[1181].end |
6864.73034375 |
transcript.pyannote[1182].speaker |
SPEAKER_13 |
transcript.pyannote[1182].start |
6865.23659375 |
transcript.pyannote[1182].end |
6868.67909375 |
transcript.pyannote[1183].speaker |
SPEAKER_13 |
transcript.pyannote[1183].start |
6869.10096875 |
transcript.pyannote[1183].end |
6870.02909375 |
transcript.pyannote[1184].speaker |
SPEAKER_13 |
transcript.pyannote[1184].start |
6870.18096875 |
transcript.pyannote[1184].end |
6870.72096875 |
transcript.pyannote[1185].speaker |
SPEAKER_13 |
transcript.pyannote[1185].start |
6871.17659375 |
transcript.pyannote[1185].end |
6883.19159375 |
transcript.pyannote[1186].speaker |
SPEAKER_11 |
transcript.pyannote[1186].start |
6886.09409375 |
transcript.pyannote[1186].end |
6886.41471875 |
transcript.pyannote[1187].speaker |
SPEAKER_11 |
transcript.pyannote[1187].start |
6886.66784375 |
transcript.pyannote[1187].end |
6887.68034375 |
transcript.pyannote[1188].speaker |
SPEAKER_11 |
transcript.pyannote[1188].start |
6887.84909375 |
transcript.pyannote[1188].end |
6893.38409375 |
transcript.pyannote[1189].speaker |
SPEAKER_11 |
transcript.pyannote[1189].start |
6893.82284375 |
transcript.pyannote[1189].end |
6895.89846875 |
transcript.pyannote[1190].speaker |
SPEAKER_11 |
transcript.pyannote[1190].start |
6896.33721875 |
transcript.pyannote[1190].end |
6902.31096875 |
transcript.pyannote[1191].speaker |
SPEAKER_11 |
transcript.pyannote[1191].start |
6902.49659375 |
transcript.pyannote[1191].end |
6906.98534375 |
transcript.pyannote[1192].speaker |
SPEAKER_11 |
transcript.pyannote[1192].start |
6907.45784375 |
transcript.pyannote[1192].end |
6911.59221875 |
transcript.pyannote[1193].speaker |
SPEAKER_11 |
transcript.pyannote[1193].start |
6911.77784375 |
transcript.pyannote[1193].end |
6927.72471875 |
transcript.pyannote[1194].speaker |
SPEAKER_13 |
transcript.pyannote[1194].start |
6926.07096875 |
transcript.pyannote[1194].end |
6926.47596875 |
transcript.pyannote[1195].speaker |
SPEAKER_13 |
transcript.pyannote[1195].start |
6927.82596875 |
transcript.pyannote[1195].end |
6934.79534375 |
transcript.pyannote[1196].speaker |
SPEAKER_11 |
transcript.pyannote[1196].start |
6935.09909375 |
transcript.pyannote[1196].end |
6936.46596875 |
transcript.pyannote[1197].speaker |
SPEAKER_11 |
transcript.pyannote[1197].start |
6937.30971875 |
transcript.pyannote[1197].end |
6942.84471875 |
transcript.pyannote[1198].speaker |
SPEAKER_13 |
transcript.pyannote[1198].start |
6942.84471875 |
transcript.pyannote[1198].end |
6945.62909375 |
transcript.pyannote[1199].speaker |
SPEAKER_11 |
transcript.pyannote[1199].start |
6946.75971875 |
transcript.pyannote[1199].end |
6950.43846875 |
transcript.pyannote[1200].speaker |
SPEAKER_13 |
transcript.pyannote[1200].start |
6950.23596875 |
transcript.pyannote[1200].end |
6954.84284375 |
transcript.pyannote[1201].speaker |
SPEAKER_13 |
transcript.pyannote[1201].start |
6954.97784375 |
transcript.pyannote[1201].end |
6966.01409375 |
transcript.pyannote[1202].speaker |
SPEAKER_11 |
transcript.pyannote[1202].start |
6967.29659375 |
transcript.pyannote[1202].end |
6970.95846875 |
transcript.pyannote[1203].speaker |
SPEAKER_13 |
transcript.pyannote[1203].start |
6972.13971875 |
transcript.pyannote[1203].end |
6973.16909375 |
transcript.pyannote[1204].speaker |
SPEAKER_13 |
transcript.pyannote[1204].start |
6973.55721875 |
transcript.pyannote[1204].end |
6979.91909375 |
transcript.pyannote[1205].speaker |
SPEAKER_11 |
transcript.pyannote[1205].start |
6979.37909375 |
transcript.pyannote[1205].end |
6985.77471875 |
transcript.pyannote[1206].speaker |
SPEAKER_13 |
transcript.pyannote[1206].start |
6981.11721875 |
transcript.pyannote[1206].end |
6981.53909375 |
transcript.pyannote[1207].speaker |
SPEAKER_13 |
transcript.pyannote[1207].start |
6985.77471875 |
transcript.pyannote[1207].end |
6988.25534375 |
transcript.pyannote[1208].speaker |
SPEAKER_11 |
transcript.pyannote[1208].start |
6987.86721875 |
transcript.pyannote[1208].end |
6990.16221875 |
transcript.pyannote[1209].speaker |
SPEAKER_13 |
transcript.pyannote[1209].start |
6990.07784375 |
transcript.pyannote[1209].end |
6997.04721875 |
transcript.pyannote[1210].speaker |
SPEAKER_11 |
transcript.pyannote[1210].start |
6997.80659375 |
transcript.pyannote[1210].end |
7004.50596875 |
transcript.pyannote[1211].speaker |
SPEAKER_13 |
transcript.pyannote[1211].start |
6999.66284375 |
transcript.pyannote[1211].end |
7000.55721875 |
transcript.pyannote[1212].speaker |
SPEAKER_13 |
transcript.pyannote[1212].start |
7003.42596875 |
transcript.pyannote[1212].end |
7009.73721875 |
transcript.pyannote[1213].speaker |
SPEAKER_13 |
transcript.pyannote[1213].start |
7010.68221875 |
transcript.pyannote[1213].end |
7034.88096875 |
transcript.pyannote[1214].speaker |
SPEAKER_11 |
transcript.pyannote[1214].start |
7035.62346875 |
transcript.pyannote[1214].end |
7037.14221875 |
transcript.pyannote[1215].speaker |
SPEAKER_11 |
transcript.pyannote[1215].start |
7037.49659375 |
transcript.pyannote[1215].end |
7040.04471875 |
transcript.pyannote[1216].speaker |
SPEAKER_13 |
transcript.pyannote[1216].start |
7040.04471875 |
transcript.pyannote[1216].end |
7041.73221875 |
transcript.pyannote[1217].speaker |
SPEAKER_11 |
transcript.pyannote[1217].start |
7042.64346875 |
transcript.pyannote[1217].end |
7048.12784375 |
transcript.pyannote[1218].speaker |
SPEAKER_21 |
transcript.pyannote[1218].start |
7046.44034375 |
transcript.pyannote[1218].end |
7048.73534375 |
transcript.pyannote[1219].speaker |
SPEAKER_11 |
transcript.pyannote[1219].start |
7048.68471875 |
transcript.pyannote[1219].end |
7049.52846875 |
transcript.pyannote[1220].speaker |
SPEAKER_11 |
transcript.pyannote[1220].start |
7049.86596875 |
transcript.pyannote[1220].end |
7060.00784375 |
transcript.pyannote[1221].speaker |
SPEAKER_21 |
transcript.pyannote[1221].start |
7052.32971875 |
transcript.pyannote[1221].end |
7052.88659375 |
transcript.pyannote[1222].speaker |
SPEAKER_13 |
transcript.pyannote[1222].start |
7058.87721875 |
transcript.pyannote[1222].end |
7059.24846875 |
transcript.pyannote[1223].speaker |
SPEAKER_13 |
transcript.pyannote[1223].start |
7059.26534375 |
transcript.pyannote[1223].end |
7064.26034375 |
transcript.pyannote[1224].speaker |
SPEAKER_11 |
transcript.pyannote[1224].start |
7064.54721875 |
transcript.pyannote[1224].end |
7068.07409375 |
transcript.pyannote[1225].speaker |
SPEAKER_11 |
transcript.pyannote[1225].start |
7068.34409375 |
transcript.pyannote[1225].end |
7071.07784375 |
transcript.pyannote[1226].speaker |
SPEAKER_11 |
transcript.pyannote[1226].start |
7071.71909375 |
transcript.pyannote[1226].end |
7075.98846875 |
transcript.pyannote[1227].speaker |
SPEAKER_13 |
transcript.pyannote[1227].start |
7075.95471875 |
transcript.pyannote[1227].end |
7077.13596875 |
transcript.pyannote[1228].speaker |
SPEAKER_11 |
transcript.pyannote[1228].start |
7076.47784375 |
transcript.pyannote[1228].end |
7080.96659375 |
transcript.pyannote[1229].speaker |
SPEAKER_13 |
transcript.pyannote[1229].start |
7077.49034375 |
transcript.pyannote[1229].end |
7078.43534375 |
transcript.pyannote[1230].speaker |
SPEAKER_13 |
transcript.pyannote[1230].start |
7079.98784375 |
transcript.pyannote[1230].end |
7088.47596875 |
transcript.pyannote[1231].speaker |
SPEAKER_13 |
transcript.pyannote[1231].start |
7088.61096875 |
transcript.pyannote[1231].end |
7092.47534375 |
transcript.pyannote[1232].speaker |
SPEAKER_11 |
transcript.pyannote[1232].start |
7088.79659375 |
transcript.pyannote[1232].end |
7089.47159375 |
transcript.pyannote[1233].speaker |
SPEAKER_11 |
transcript.pyannote[1233].start |
7092.88034375 |
transcript.pyannote[1233].end |
7095.04034375 |
transcript.pyannote[1234].speaker |
SPEAKER_13 |
transcript.pyannote[1234].start |
7095.52971875 |
transcript.pyannote[1234].end |
7096.40721875 |
transcript.pyannote[1235].speaker |
SPEAKER_11 |
transcript.pyannote[1235].start |
7096.40721875 |
transcript.pyannote[1235].end |
7100.22096875 |
transcript.pyannote[1236].speaker |
SPEAKER_13 |
transcript.pyannote[1236].start |
7100.32221875 |
transcript.pyannote[1236].end |
7102.78596875 |
transcript.pyannote[1237].speaker |
SPEAKER_11 |
transcript.pyannote[1237].start |
7101.90846875 |
transcript.pyannote[1237].end |
7101.95909375 |
transcript.pyannote[1238].speaker |
SPEAKER_11 |
transcript.pyannote[1238].start |
7103.32596875 |
transcript.pyannote[1238].end |
7103.91659375 |
transcript.pyannote[1239].speaker |
SPEAKER_11 |
transcript.pyannote[1239].start |
7104.45659375 |
transcript.pyannote[1239].end |
7104.79409375 |
transcript.pyannote[1240].speaker |
SPEAKER_24 |
transcript.pyannote[1240].start |
7106.14409375 |
transcript.pyannote[1240].end |
7115.27346875 |
transcript.pyannote[1241].speaker |
SPEAKER_13 |
transcript.pyannote[1241].start |
7112.97846875 |
transcript.pyannote[1241].end |
7113.26534375 |
transcript.pyannote[1242].speaker |
SPEAKER_13 |
transcript.pyannote[1242].start |
7114.83471875 |
transcript.pyannote[1242].end |
7120.40346875 |
transcript.pyannote[1243].speaker |
SPEAKER_13 |
transcript.pyannote[1243].start |
7121.01096875 |
transcript.pyannote[1243].end |
7132.35096875 |
transcript.pyannote[1244].speaker |
SPEAKER_11 |
transcript.pyannote[1244].start |
7132.50284375 |
transcript.pyannote[1244].end |
7137.80159375 |
transcript.pyannote[1245].speaker |
SPEAKER_13 |
transcript.pyannote[1245].start |
7135.57409375 |
transcript.pyannote[1245].end |
7137.37971875 |
transcript.pyannote[1246].speaker |
SPEAKER_11 |
transcript.pyannote[1246].start |
7138.34159375 |
transcript.pyannote[1246].end |
7138.84784375 |
transcript.pyannote[1247].speaker |
SPEAKER_13 |
transcript.pyannote[1247].start |
7139.06721875 |
transcript.pyannote[1247].end |
7150.18784375 |
transcript.pyannote[1248].speaker |
SPEAKER_13 |
transcript.pyannote[1248].start |
7151.68971875 |
transcript.pyannote[1248].end |
7152.48284375 |
transcript.pyannote[1249].speaker |
SPEAKER_21 |
transcript.pyannote[1249].start |
7152.17909375 |
transcript.pyannote[1249].end |
7152.36471875 |
transcript.pyannote[1250].speaker |
SPEAKER_21 |
transcript.pyannote[1250].start |
7152.48284375 |
transcript.pyannote[1250].end |
7152.95534375 |
transcript.pyannote[1251].speaker |
SPEAKER_11 |
transcript.pyannote[1251].start |
7152.95534375 |
transcript.pyannote[1251].end |
7153.05659375 |
transcript.pyannote[1252].speaker |
SPEAKER_13 |
transcript.pyannote[1252].start |
7153.05659375 |
transcript.pyannote[1252].end |
7156.19534375 |
transcript.pyannote[1253].speaker |
SPEAKER_21 |
transcript.pyannote[1253].start |
7153.42784375 |
transcript.pyannote[1253].end |
7153.52909375 |
transcript.pyannote[1254].speaker |
SPEAKER_21 |
transcript.pyannote[1254].start |
7153.63034375 |
transcript.pyannote[1254].end |
7153.69784375 |
transcript.pyannote[1255].speaker |
SPEAKER_13 |
transcript.pyannote[1255].start |
7157.46096875 |
transcript.pyannote[1255].end |
7161.10596875 |
transcript.pyannote[1256].speaker |
SPEAKER_13 |
transcript.pyannote[1256].start |
7161.27471875 |
transcript.pyannote[1256].end |
7182.68909375 |
transcript.pyannote[1257].speaker |
SPEAKER_13 |
transcript.pyannote[1257].start |
7184.19096875 |
transcript.pyannote[1257].end |
7185.72659375 |
transcript.pyannote[1258].speaker |
SPEAKER_13 |
transcript.pyannote[1258].start |
7186.55346875 |
transcript.pyannote[1258].end |
7187.00909375 |
transcript.pyannote[1259].speaker |
SPEAKER_13 |
transcript.pyannote[1259].start |
7187.76846875 |
transcript.pyannote[1259].end |
7188.44346875 |
transcript.pyannote[1260].speaker |
SPEAKER_13 |
transcript.pyannote[1260].start |
7188.57846875 |
transcript.pyannote[1260].end |
7189.32096875 |
transcript.pyannote[1261].speaker |
SPEAKER_13 |
transcript.pyannote[1261].start |
7190.06346875 |
transcript.pyannote[1261].end |
7190.62034375 |
transcript.pyannote[1262].speaker |
SPEAKER_13 |
transcript.pyannote[1262].start |
7190.82284375 |
transcript.pyannote[1262].end |
7193.40471875 |
transcript.pyannote[1263].speaker |
SPEAKER_13 |
transcript.pyannote[1263].start |
7194.38346875 |
transcript.pyannote[1263].end |
7206.33096875 |
transcript.pyannote[1264].speaker |
SPEAKER_13 |
transcript.pyannote[1264].start |
7207.79909375 |
transcript.pyannote[1264].end |
7208.44034375 |
transcript.pyannote[1265].speaker |
SPEAKER_11 |
transcript.pyannote[1265].start |
7209.82409375 |
transcript.pyannote[1265].end |
7211.52846875 |
transcript.pyannote[1266].speaker |
SPEAKER_11 |
transcript.pyannote[1266].start |
7212.08534375 |
transcript.pyannote[1266].end |
7214.51534375 |
transcript.pyannote[1267].speaker |
SPEAKER_13 |
transcript.pyannote[1267].start |
7214.73471875 |
transcript.pyannote[1267].end |
7217.43471875 |
transcript.pyannote[1268].speaker |
SPEAKER_11 |
transcript.pyannote[1268].start |
7217.29971875 |
transcript.pyannote[1268].end |
7217.31659375 |
transcript.pyannote[1269].speaker |
SPEAKER_11 |
transcript.pyannote[1269].start |
7217.33346875 |
transcript.pyannote[1269].end |
7217.35034375 |
transcript.pyannote[1270].speaker |
SPEAKER_11 |
transcript.pyannote[1270].start |
7217.43471875 |
transcript.pyannote[1270].end |
7220.05034375 |
transcript.pyannote[1271].speaker |
SPEAKER_11 |
transcript.pyannote[1271].start |
7220.59034375 |
transcript.pyannote[1271].end |
7221.16409375 |
transcript.pyannote[1272].speaker |
SPEAKER_13 |
transcript.pyannote[1272].start |
7221.19784375 |
transcript.pyannote[1272].end |
7221.99096875 |
transcript.pyannote[1273].speaker |
SPEAKER_13 |
transcript.pyannote[1273].start |
7222.93596875 |
transcript.pyannote[1273].end |
7236.30096875 |
transcript.pyannote[1274].speaker |
SPEAKER_13 |
transcript.pyannote[1274].start |
7237.44846875 |
transcript.pyannote[1274].end |
7238.05596875 |
transcript.pyannote[1275].speaker |
SPEAKER_13 |
transcript.pyannote[1275].start |
7238.59596875 |
transcript.pyannote[1275].end |
7239.49034375 |
transcript.pyannote[1276].speaker |
SPEAKER_13 |
transcript.pyannote[1276].start |
7241.29596875 |
transcript.pyannote[1276].end |
7243.69221875 |
transcript.pyannote[1277].speaker |
SPEAKER_24 |
transcript.pyannote[1277].start |
7244.31659375 |
transcript.pyannote[1277].end |
7244.33346875 |
transcript.pyannote[1278].speaker |
SPEAKER_13 |
transcript.pyannote[1278].start |
7244.33346875 |
transcript.pyannote[1278].end |
7245.22784375 |
transcript.pyannote[1279].speaker |
SPEAKER_24 |
transcript.pyannote[1279].start |
7244.73846875 |
transcript.pyannote[1279].end |
7245.02534375 |
transcript.pyannote[1280].speaker |
SPEAKER_24 |
transcript.pyannote[1280].start |
7245.22784375 |
transcript.pyannote[1280].end |
7254.86346875 |
transcript.pyannote[1281].speaker |
SPEAKER_13 |
transcript.pyannote[1281].start |
7245.24471875 |
transcript.pyannote[1281].end |
7245.64971875 |
transcript.pyannote[1282].speaker |
SPEAKER_13 |
transcript.pyannote[1282].start |
7248.41721875 |
transcript.pyannote[1282].end |
7248.80534375 |
transcript.pyannote[1283].speaker |
SPEAKER_13 |
transcript.pyannote[1283].start |
7253.53034375 |
transcript.pyannote[1283].end |
7253.80034375 |
transcript.pyannote[1284].speaker |
SPEAKER_13 |
transcript.pyannote[1284].start |
7254.45846875 |
transcript.pyannote[1284].end |
7258.05284375 |
transcript.pyannote[1285].speaker |
SPEAKER_13 |
transcript.pyannote[1285].start |
7258.17096875 |
transcript.pyannote[1285].end |
7261.64721875 |
transcript.pyannote[1286].speaker |
SPEAKER_13 |
transcript.pyannote[1286].start |
7262.11971875 |
transcript.pyannote[1286].end |
7264.31346875 |
transcript.pyannote[1287].speaker |
SPEAKER_13 |
transcript.pyannote[1287].start |
7264.97159375 |
transcript.pyannote[1287].end |
7277.35784375 |
transcript.pyannote[1288].speaker |
SPEAKER_13 |
transcript.pyannote[1288].start |
7278.74159375 |
transcript.pyannote[1288].end |
7279.09596875 |
transcript.pyannote[1289].speaker |
SPEAKER_13 |
transcript.pyannote[1289].start |
7279.23096875 |
transcript.pyannote[1289].end |
7280.00721875 |
transcript.pyannote[1290].speaker |
SPEAKER_13 |
transcript.pyannote[1290].start |
7280.37846875 |
transcript.pyannote[1290].end |
7282.82534375 |
transcript.pyannote[1291].speaker |
SPEAKER_11 |
transcript.pyannote[1291].start |
7282.50471875 |
transcript.pyannote[1291].end |
7286.20034375 |
transcript.pyannote[1292].speaker |
SPEAKER_13 |
transcript.pyannote[1292].start |
7283.93909375 |
transcript.pyannote[1292].end |
7284.64784375 |
transcript.pyannote[1293].speaker |
SPEAKER_13 |
transcript.pyannote[1293].start |
7285.45784375 |
transcript.pyannote[1293].end |
7294.48596875 |
transcript.pyannote[1294].speaker |
SPEAKER_11 |
transcript.pyannote[1294].start |
7286.28471875 |
transcript.pyannote[1294].end |
7286.38596875 |
transcript.pyannote[1295].speaker |
SPEAKER_11 |
transcript.pyannote[1295].start |
7294.41846875 |
transcript.pyannote[1295].end |
7300.99971875 |
transcript.pyannote[1296].speaker |
SPEAKER_13 |
transcript.pyannote[1296].start |
7297.62471875 |
transcript.pyannote[1296].end |
7298.92409375 |
transcript.pyannote[1297].speaker |
SPEAKER_13 |
transcript.pyannote[1297].start |
7299.88596875 |
transcript.pyannote[1297].end |
7300.24034375 |
transcript.pyannote[1298].speaker |
SPEAKER_13 |
transcript.pyannote[1298].start |
7301.48909375 |
transcript.pyannote[1298].end |
7324.57409375 |
transcript.pyannote[1299].speaker |
SPEAKER_11 |
transcript.pyannote[1299].start |
7305.94409375 |
transcript.pyannote[1299].end |
7306.70346875 |
transcript.pyannote[1300].speaker |
SPEAKER_11 |
transcript.pyannote[1300].start |
7307.19284375 |
transcript.pyannote[1300].end |
7307.31096875 |
transcript.pyannote[1301].speaker |
SPEAKER_21 |
transcript.pyannote[1301].start |
7307.31096875 |
transcript.pyannote[1301].end |
7308.10409375 |
transcript.pyannote[1302].speaker |
SPEAKER_24 |
transcript.pyannote[1302].start |
7326.71721875 |
transcript.pyannote[1302].end |
7342.09034375 |
transcript.pyannote[1303].speaker |
SPEAKER_13 |
transcript.pyannote[1303].start |
7331.39159375 |
transcript.pyannote[1303].end |
7333.41659375 |
transcript.pyannote[1304].speaker |
SPEAKER_13 |
transcript.pyannote[1304].start |
7333.99034375 |
transcript.pyannote[1304].end |
7335.22221875 |
transcript.pyannote[1305].speaker |
SPEAKER_13 |
transcript.pyannote[1305].start |
7336.03221875 |
transcript.pyannote[1305].end |
7337.53409375 |
transcript.pyannote[1306].speaker |
SPEAKER_13 |
transcript.pyannote[1306].start |
7340.31846875 |
transcript.pyannote[1306].end |
7341.93846875 |
transcript.pyannote[1307].speaker |
SPEAKER_24 |
transcript.pyannote[1307].start |
7343.52471875 |
transcript.pyannote[1307].end |
7343.54159375 |
transcript.pyannote[1308].speaker |
SPEAKER_13 |
transcript.pyannote[1308].start |
7343.54159375 |
transcript.pyannote[1308].end |
7349.93721875 |
transcript.pyannote[1309].speaker |
SPEAKER_13 |
transcript.pyannote[1309].start |
7350.19034375 |
transcript.pyannote[1309].end |
7352.82284375 |
transcript.pyannote[1310].speaker |
SPEAKER_13 |
transcript.pyannote[1310].start |
7353.07596875 |
transcript.pyannote[1310].end |
7361.66534375 |
transcript.pyannote[1311].speaker |
SPEAKER_13 |
transcript.pyannote[1311].start |
7361.76659375 |
transcript.pyannote[1311].end |
7379.14784375 |
transcript.pyannote[1312].speaker |
SPEAKER_13 |
transcript.pyannote[1312].start |
7379.63721875 |
transcript.pyannote[1312].end |
7394.72346875 |
transcript.pyannote[1313].speaker |
SPEAKER_13 |
transcript.pyannote[1313].start |
7395.92159375 |
transcript.pyannote[1313].end |
7399.61721875 |
transcript.pyannote[1314].speaker |
SPEAKER_13 |
transcript.pyannote[1314].start |
7400.42721875 |
transcript.pyannote[1314].end |
7410.01221875 |
transcript.pyannote[1315].speaker |
SPEAKER_13 |
transcript.pyannote[1315].start |
7410.18096875 |
transcript.pyannote[1315].end |
7412.50971875 |
transcript.pyannote[1316].speaker |
SPEAKER_13 |
transcript.pyannote[1316].start |
7412.59409375 |
transcript.pyannote[1316].end |
7419.47909375 |
transcript.pyannote[1317].speaker |
SPEAKER_13 |
transcript.pyannote[1317].start |
7419.56346875 |
transcript.pyannote[1317].end |
7422.51659375 |
transcript.pyannote[1318].speaker |
SPEAKER_11 |
transcript.pyannote[1318].start |
7422.04409375 |
transcript.pyannote[1318].end |
7424.55846875 |
transcript.pyannote[1319].speaker |
SPEAKER_11 |
transcript.pyannote[1319].start |
7424.64284375 |
transcript.pyannote[1319].end |
7434.04221875 |
transcript.pyannote[1320].speaker |
SPEAKER_13 |
transcript.pyannote[1320].start |
7427.56221875 |
transcript.pyannote[1320].end |
7429.41846875 |
transcript.pyannote[1321].speaker |
SPEAKER_13 |
transcript.pyannote[1321].start |
7431.00471875 |
transcript.pyannote[1321].end |
7432.82721875 |
transcript.pyannote[1322].speaker |
SPEAKER_13 |
transcript.pyannote[1322].start |
7433.99159375 |
transcript.pyannote[1322].end |
7447.25534375 |
transcript.pyannote[1323].speaker |
SPEAKER_11 |
transcript.pyannote[1323].start |
7434.05909375 |
transcript.pyannote[1323].end |
7434.31221875 |
transcript.pyannote[1324].speaker |
SPEAKER_11 |
transcript.pyannote[1324].start |
7434.51471875 |
transcript.pyannote[1324].end |
7436.11784375 |
transcript.pyannote[1325].speaker |
SPEAKER_11 |
transcript.pyannote[1325].start |
7440.69096875 |
transcript.pyannote[1325].end |
7441.45034375 |
transcript.pyannote[1326].speaker |
SPEAKER_13 |
transcript.pyannote[1326].start |
7447.40721875 |
transcript.pyannote[1326].end |
7448.01471875 |
transcript.pyannote[1327].speaker |
SPEAKER_11 |
transcript.pyannote[1327].start |
7447.55909375 |
transcript.pyannote[1327].end |
7449.07784375 |
transcript.pyannote[1328].speaker |
SPEAKER_13 |
transcript.pyannote[1328].start |
7448.84159375 |
transcript.pyannote[1328].end |
7449.24659375 |
transcript.pyannote[1329].speaker |
SPEAKER_13 |
transcript.pyannote[1329].start |
7449.56721875 |
transcript.pyannote[1329].end |
7452.82409375 |
transcript.pyannote[1330].speaker |
SPEAKER_13 |
transcript.pyannote[1330].start |
7453.49909375 |
transcript.pyannote[1330].end |
7456.58721875 |
transcript.pyannote[1331].speaker |
SPEAKER_11 |
transcript.pyannote[1331].start |
7456.09784375 |
transcript.pyannote[1331].end |
7458.52784375 |
transcript.pyannote[1332].speaker |
SPEAKER_13 |
transcript.pyannote[1332].start |
7457.76846875 |
transcript.pyannote[1332].end |
7464.56909375 |
transcript.pyannote[1333].speaker |
SPEAKER_11 |
transcript.pyannote[1333].start |
7459.27034375 |
transcript.pyannote[1333].end |
7460.08034375 |
transcript.pyannote[1334].speaker |
SPEAKER_11 |
transcript.pyannote[1334].start |
7461.32909375 |
transcript.pyannote[1334].end |
7465.26096875 |
transcript.pyannote[1335].speaker |
SPEAKER_13 |
transcript.pyannote[1335].start |
7465.17659375 |
transcript.pyannote[1335].end |
7483.73909375 |
transcript.pyannote[1336].speaker |
SPEAKER_13 |
transcript.pyannote[1336].start |
7484.76846875 |
transcript.pyannote[1336].end |
7494.21846875 |
transcript.pyannote[1337].speaker |
SPEAKER_13 |
transcript.pyannote[1337].start |
7494.33659375 |
transcript.pyannote[1337].end |
7500.17534375 |
transcript.pyannote[1338].speaker |
SPEAKER_13 |
transcript.pyannote[1338].start |
7500.78284375 |
transcript.pyannote[1338].end |
7505.81159375 |
transcript.pyannote[1339].speaker |
SPEAKER_13 |
transcript.pyannote[1339].start |
7506.67221875 |
transcript.pyannote[1339].end |
7508.07284375 |
transcript.pyannote[1340].speaker |
SPEAKER_13 |
transcript.pyannote[1340].start |
7508.41034375 |
transcript.pyannote[1340].end |
7508.95034375 |
transcript.pyannote[1341].speaker |
SPEAKER_13 |
transcript.pyannote[1341].start |
7509.74346875 |
transcript.pyannote[1341].end |
7510.16534375 |
transcript.pyannote[1342].speaker |
SPEAKER_13 |
transcript.pyannote[1342].start |
7511.02596875 |
transcript.pyannote[1342].end |
7531.20846875 |
transcript.pyannote[1343].speaker |
SPEAKER_13 |
transcript.pyannote[1343].start |
7531.76534375 |
transcript.pyannote[1343].end |
7533.90846875 |
transcript.pyannote[1344].speaker |
SPEAKER_13 |
transcript.pyannote[1344].start |
7534.09409375 |
transcript.pyannote[1344].end |
7534.66784375 |
transcript.pyannote[1345].speaker |
SPEAKER_11 |
transcript.pyannote[1345].start |
7534.81971875 |
transcript.pyannote[1345].end |
7539.24096875 |
transcript.pyannote[1346].speaker |
SPEAKER_21 |
transcript.pyannote[1346].start |
7539.42659375 |
transcript.pyannote[1346].end |
7539.78096875 |
transcript.pyannote[1347].speaker |
SPEAKER_11 |
transcript.pyannote[1347].start |
7539.76409375 |
transcript.pyannote[1347].end |
7552.36971875 |
transcript.pyannote[1348].speaker |
SPEAKER_13 |
transcript.pyannote[1348].start |
7552.36971875 |
transcript.pyannote[1348].end |
7552.74096875 |
transcript.pyannote[1349].speaker |
SPEAKER_11 |
transcript.pyannote[1349].start |
7552.57221875 |
transcript.pyannote[1349].end |
7552.69034375 |
transcript.pyannote[1350].speaker |
SPEAKER_11 |
transcript.pyannote[1350].start |
7552.74096875 |
transcript.pyannote[1350].end |
7552.80846875 |
transcript.pyannote[1351].speaker |
SPEAKER_13 |
transcript.pyannote[1351].start |
7552.80846875 |
transcript.pyannote[1351].end |
7552.82534375 |
transcript.pyannote[1352].speaker |
SPEAKER_11 |
transcript.pyannote[1352].start |
7552.97721875 |
transcript.pyannote[1352].end |
7556.16659375 |
transcript.pyannote[1353].speaker |
SPEAKER_13 |
transcript.pyannote[1353].start |
7554.22596875 |
transcript.pyannote[1353].end |
7566.17346875 |
transcript.pyannote[1354].speaker |
SPEAKER_11 |
transcript.pyannote[1354].start |
7562.03909375 |
transcript.pyannote[1354].end |
7562.41034375 |
transcript.pyannote[1355].speaker |
SPEAKER_11 |
transcript.pyannote[1355].start |
7563.23721875 |
transcript.pyannote[1355].end |
7566.25784375 |
transcript.pyannote[1356].speaker |
SPEAKER_11 |
transcript.pyannote[1356].start |
7566.64596875 |
transcript.pyannote[1356].end |
7579.72409375 |
transcript.pyannote[1357].speaker |
SPEAKER_13 |
transcript.pyannote[1357].start |
7570.79721875 |
transcript.pyannote[1357].end |
7570.89846875 |
transcript.pyannote[1358].speaker |
SPEAKER_21 |
transcript.pyannote[1358].start |
7570.89846875 |
transcript.pyannote[1358].end |
7571.03346875 |
transcript.pyannote[1359].speaker |
SPEAKER_13 |
transcript.pyannote[1359].start |
7571.03346875 |
transcript.pyannote[1359].end |
7571.16846875 |
transcript.pyannote[1360].speaker |
SPEAKER_13 |
transcript.pyannote[1360].start |
7575.26909375 |
transcript.pyannote[1360].end |
7576.24784375 |
transcript.pyannote[1361].speaker |
SPEAKER_13 |
transcript.pyannote[1361].start |
7579.04909375 |
transcript.pyannote[1361].end |
7596.58221875 |
transcript.pyannote[1362].speaker |
SPEAKER_13 |
transcript.pyannote[1362].start |
7597.13909375 |
transcript.pyannote[1362].end |
7597.94909375 |
transcript.pyannote[1363].speaker |
SPEAKER_06 |
transcript.pyannote[1363].start |
7599.58596875 |
transcript.pyannote[1363].end |
7602.62346875 |
transcript.pyannote[1364].speaker |
SPEAKER_06 |
transcript.pyannote[1364].start |
7913.81534375 |
transcript.pyannote[1364].end |
7919.24909375 |
transcript.pyannote[1365].speaker |
SPEAKER_27 |
transcript.pyannote[1365].start |
7925.79659375 |
transcript.pyannote[1365].end |
7928.63159375 |
transcript.pyannote[1366].speaker |
SPEAKER_27 |
transcript.pyannote[1366].start |
7933.05284375 |
transcript.pyannote[1366].end |
7939.98846875 |
transcript.pyannote[1367].speaker |
SPEAKER_27 |
transcript.pyannote[1367].start |
7940.27534375 |
transcript.pyannote[1367].end |
7964.33909375 |
transcript.pyannote[1368].speaker |
SPEAKER_27 |
transcript.pyannote[1368].start |
7964.76096875 |
transcript.pyannote[1368].end |
7981.95659375 |
transcript.pyannote[1369].speaker |
SPEAKER_27 |
transcript.pyannote[1369].start |
7982.29409375 |
transcript.pyannote[1369].end |
7995.59159375 |
transcript.pyannote[1370].speaker |
SPEAKER_27 |
transcript.pyannote[1370].start |
7995.91221875 |
transcript.pyannote[1370].end |
8014.74471875 |
transcript.pyannote[1371].speaker |
SPEAKER_21 |
transcript.pyannote[1371].start |
8014.69409375 |
transcript.pyannote[1371].end |
8014.82909375 |
transcript.pyannote[1372].speaker |
SPEAKER_27 |
transcript.pyannote[1372].start |
8014.82909375 |
transcript.pyannote[1372].end |
8019.55409375 |
transcript.pyannote[1373].speaker |
SPEAKER_21 |
transcript.pyannote[1373].start |
8014.86284375 |
transcript.pyannote[1373].end |
8014.94721875 |
transcript.pyannote[1374].speaker |
SPEAKER_21 |
transcript.pyannote[1374].start |
8017.30971875 |
transcript.pyannote[1374].end |
8017.51221875 |
transcript.pyannote[1375].speaker |
SPEAKER_27 |
transcript.pyannote[1375].start |
8019.80721875 |
transcript.pyannote[1375].end |
8052.03846875 |
transcript.pyannote[1376].speaker |
SPEAKER_27 |
transcript.pyannote[1376].start |
8052.17346875 |
transcript.pyannote[1376].end |
8059.31159375 |
transcript.pyannote[1377].speaker |
SPEAKER_27 |
transcript.pyannote[1377].start |
8059.91909375 |
transcript.pyannote[1377].end |
8067.71534375 |
transcript.pyannote[1378].speaker |
SPEAKER_11 |
transcript.pyannote[1378].start |
8067.71534375 |
transcript.pyannote[1378].end |
8071.02284375 |
transcript.pyannote[1379].speaker |
SPEAKER_11 |
transcript.pyannote[1379].start |
8071.59659375 |
transcript.pyannote[1379].end |
8088.33659375 |
transcript.pyannote[1380].speaker |
SPEAKER_00 |
transcript.pyannote[1380].start |
8076.28784375 |
transcript.pyannote[1380].end |
8076.55784375 |
transcript.pyannote[1381].speaker |
SPEAKER_00 |
transcript.pyannote[1381].start |
8080.59096875 |
transcript.pyannote[1381].end |
8080.60784375 |
transcript.pyannote[1382].speaker |
SPEAKER_21 |
transcript.pyannote[1382].start |
8080.60784375 |
transcript.pyannote[1382].end |
8081.08034375 |
transcript.pyannote[1383].speaker |
SPEAKER_21 |
transcript.pyannote[1383].start |
8085.61971875 |
transcript.pyannote[1383].end |
8086.00784375 |
transcript.pyannote[1384].speaker |
SPEAKER_11 |
transcript.pyannote[1384].start |
8088.43784375 |
transcript.pyannote[1384].end |
8095.54221875 |
transcript.pyannote[1385].speaker |
SPEAKER_21 |
transcript.pyannote[1385].start |
8091.22221875 |
transcript.pyannote[1385].end |
8091.40784375 |
transcript.pyannote[1386].speaker |
SPEAKER_11 |
transcript.pyannote[1386].start |
8095.99784375 |
transcript.pyannote[1386].end |
8096.31846875 |
transcript.pyannote[1387].speaker |
SPEAKER_11 |
transcript.pyannote[1387].start |
8096.75721875 |
transcript.pyannote[1387].end |
8098.42784375 |
transcript.pyannote[1388].speaker |
SPEAKER_21 |
transcript.pyannote[1388].start |
8098.42784375 |
transcript.pyannote[1388].end |
8099.01846875 |
transcript.pyannote[1389].speaker |
SPEAKER_11 |
transcript.pyannote[1389].start |
8098.63034375 |
transcript.pyannote[1389].end |
8099.25471875 |
transcript.pyannote[1390].speaker |
SPEAKER_11 |
transcript.pyannote[1390].start |
8099.52471875 |
transcript.pyannote[1390].end |
8104.94159375 |
transcript.pyannote[1391].speaker |
SPEAKER_11 |
transcript.pyannote[1391].start |
8105.39721875 |
transcript.pyannote[1391].end |
8111.60721875 |
transcript.pyannote[1392].speaker |
SPEAKER_11 |
transcript.pyannote[1392].start |
8111.89409375 |
transcript.pyannote[1392].end |
8124.36471875 |
transcript.pyannote[1393].speaker |
SPEAKER_11 |
transcript.pyannote[1393].start |
8124.58409375 |
transcript.pyannote[1393].end |
8126.62596875 |
transcript.pyannote[1394].speaker |
SPEAKER_11 |
transcript.pyannote[1394].start |
8126.96346875 |
transcript.pyannote[1394].end |
8129.89971875 |
transcript.pyannote[1395].speaker |
SPEAKER_11 |
transcript.pyannote[1395].start |
8130.38909375 |
transcript.pyannote[1395].end |
8150.63909375 |
transcript.pyannote[1396].speaker |
SPEAKER_21 |
transcript.pyannote[1396].start |
8134.74284375 |
transcript.pyannote[1396].end |
8135.09721875 |
transcript.pyannote[1397].speaker |
SPEAKER_21 |
transcript.pyannote[1397].start |
8136.44721875 |
transcript.pyannote[1397].end |
8136.98721875 |
transcript.pyannote[1398].speaker |
SPEAKER_00 |
transcript.pyannote[1398].start |
8136.98721875 |
transcript.pyannote[1398].end |
8137.00409375 |
transcript.pyannote[1399].speaker |
SPEAKER_21 |
transcript.pyannote[1399].start |
8140.46346875 |
transcript.pyannote[1399].end |
8140.48034375 |
transcript.pyannote[1400].speaker |
SPEAKER_21 |
transcript.pyannote[1400].start |
8142.35346875 |
transcript.pyannote[1400].end |
8142.72471875 |
transcript.pyannote[1401].speaker |
SPEAKER_00 |
transcript.pyannote[1401].start |
8148.81659375 |
transcript.pyannote[1401].end |
8148.96846875 |
transcript.pyannote[1402].speaker |
SPEAKER_11 |
transcript.pyannote[1402].start |
8151.65159375 |
transcript.pyannote[1402].end |
8164.35846875 |
transcript.pyannote[1403].speaker |
SPEAKER_27 |
transcript.pyannote[1403].start |
8160.13971875 |
transcript.pyannote[1403].end |
8161.00034375 |
transcript.pyannote[1404].speaker |
SPEAKER_27 |
transcript.pyannote[1404].start |
8164.34159375 |
transcript.pyannote[1404].end |
8168.52659375 |
transcript.pyannote[1405].speaker |
SPEAKER_11 |
transcript.pyannote[1405].start |
8167.10909375 |
transcript.pyannote[1405].end |
8167.93596875 |
transcript.pyannote[1406].speaker |
SPEAKER_11 |
transcript.pyannote[1406].start |
8168.52659375 |
transcript.pyannote[1406].end |
8168.54346875 |
transcript.pyannote[1407].speaker |
SPEAKER_27 |
transcript.pyannote[1407].start |
8168.54346875 |
transcript.pyannote[1407].end |
8170.82159375 |
transcript.pyannote[1408].speaker |
SPEAKER_11 |
transcript.pyannote[1408].start |
8168.56034375 |
transcript.pyannote[1408].end |
8170.53471875 |
transcript.pyannote[1409].speaker |
SPEAKER_11 |
transcript.pyannote[1409].start |
8170.82159375 |
transcript.pyannote[1409].end |
8170.83846875 |
transcript.pyannote[1410].speaker |
SPEAKER_27 |
transcript.pyannote[1410].start |
8170.83846875 |
transcript.pyannote[1410].end |
8171.15909375 |
transcript.pyannote[1411].speaker |
SPEAKER_11 |
transcript.pyannote[1411].start |
8171.15909375 |
transcript.pyannote[1411].end |
8171.22659375 |
transcript.pyannote[1412].speaker |
SPEAKER_27 |
transcript.pyannote[1412].start |
8171.22659375 |
transcript.pyannote[1412].end |
8171.32784375 |
transcript.pyannote[1413].speaker |
SPEAKER_11 |
transcript.pyannote[1413].start |
8171.32784375 |
transcript.pyannote[1413].end |
8171.34471875 |
transcript.pyannote[1414].speaker |
SPEAKER_27 |
transcript.pyannote[1414].start |
8171.34471875 |
transcript.pyannote[1414].end |
8172.22221875 |
transcript.pyannote[1415].speaker |
SPEAKER_11 |
transcript.pyannote[1415].start |
8171.36159375 |
transcript.pyannote[1415].end |
8179.34346875 |
transcript.pyannote[1416].speaker |
SPEAKER_21 |
transcript.pyannote[1416].start |
8179.41096875 |
transcript.pyannote[1416].end |
8179.79909375 |
transcript.pyannote[1417].speaker |
SPEAKER_11 |
transcript.pyannote[1417].start |
8179.76534375 |
transcript.pyannote[1417].end |
8186.05971875 |
transcript.pyannote[1418].speaker |
SPEAKER_11 |
transcript.pyannote[1418].start |
8186.41409375 |
transcript.pyannote[1418].end |
8190.36284375 |
transcript.pyannote[1419].speaker |
SPEAKER_21 |
transcript.pyannote[1419].start |
8187.66284375 |
transcript.pyannote[1419].end |
8187.96659375 |
transcript.pyannote[1420].speaker |
SPEAKER_11 |
transcript.pyannote[1420].start |
8190.88596875 |
transcript.pyannote[1420].end |
8201.90534375 |
transcript.pyannote[1421].speaker |
SPEAKER_27 |
transcript.pyannote[1421].start |
8196.45471875 |
transcript.pyannote[1421].end |
8196.75846875 |
transcript.pyannote[1422].speaker |
SPEAKER_27 |
transcript.pyannote[1422].start |
8197.99034375 |
transcript.pyannote[1422].end |
8198.53034375 |
transcript.pyannote[1423].speaker |
SPEAKER_27 |
transcript.pyannote[1423].start |
8201.60159375 |
transcript.pyannote[1423].end |
8249.93159375 |
transcript.pyannote[1424].speaker |
SPEAKER_11 |
transcript.pyannote[1424].start |
8204.28471875 |
transcript.pyannote[1424].end |
8205.60096875 |
transcript.pyannote[1425].speaker |
SPEAKER_00 |
transcript.pyannote[1425].start |
8213.58284375 |
transcript.pyannote[1425].end |
8213.59971875 |
transcript.pyannote[1426].speaker |
SPEAKER_11 |
transcript.pyannote[1426].start |
8213.59971875 |
transcript.pyannote[1426].end |
8213.86971875 |
transcript.pyannote[1427].speaker |
SPEAKER_00 |
transcript.pyannote[1427].start |
8213.86971875 |
transcript.pyannote[1427].end |
8214.12284375 |
transcript.pyannote[1428].speaker |
SPEAKER_21 |
transcript.pyannote[1428].start |
8214.12284375 |
transcript.pyannote[1428].end |
8214.27471875 |
transcript.pyannote[1429].speaker |
SPEAKER_00 |
transcript.pyannote[1429].start |
8214.27471875 |
transcript.pyannote[1429].end |
8214.46034375 |
transcript.pyannote[1430].speaker |
SPEAKER_21 |
transcript.pyannote[1430].start |
8226.40784375 |
transcript.pyannote[1430].end |
8226.82971875 |
transcript.pyannote[1431].speaker |
SPEAKER_21 |
transcript.pyannote[1431].start |
8229.86721875 |
transcript.pyannote[1431].end |
8230.39034375 |
transcript.pyannote[1432].speaker |
SPEAKER_21 |
transcript.pyannote[1432].start |
8231.58846875 |
transcript.pyannote[1432].end |
8232.07784375 |
transcript.pyannote[1433].speaker |
SPEAKER_21 |
transcript.pyannote[1433].start |
8233.30971875 |
transcript.pyannote[1433].end |
8233.71471875 |
transcript.pyannote[1434].speaker |
SPEAKER_05 |
transcript.pyannote[1434].start |
8238.38909375 |
transcript.pyannote[1434].end |
8238.92909375 |
transcript.pyannote[1435].speaker |
SPEAKER_05 |
transcript.pyannote[1435].start |
8239.35096875 |
transcript.pyannote[1435].end |
8240.21159375 |
transcript.pyannote[1436].speaker |
SPEAKER_05 |
transcript.pyannote[1436].start |
8240.44784375 |
transcript.pyannote[1436].end |
8240.51534375 |
transcript.pyannote[1437].speaker |
SPEAKER_05 |
transcript.pyannote[1437].start |
8243.29971875 |
transcript.pyannote[1437].end |
8243.65409375 |
transcript.pyannote[1438].speaker |
SPEAKER_11 |
transcript.pyannote[1438].start |
8249.93159375 |
transcript.pyannote[1438].end |
8249.94846875 |
transcript.pyannote[1439].speaker |
SPEAKER_21 |
transcript.pyannote[1439].start |
8249.94846875 |
transcript.pyannote[1439].end |
8251.78784375 |
transcript.pyannote[1440].speaker |
SPEAKER_27 |
transcript.pyannote[1440].start |
8251.60221875 |
transcript.pyannote[1440].end |
8251.63596875 |
transcript.pyannote[1441].speaker |
SPEAKER_11 |
transcript.pyannote[1441].start |
8251.63596875 |
transcript.pyannote[1441].end |
8254.48784375 |
transcript.pyannote[1442].speaker |
SPEAKER_11 |
transcript.pyannote[1442].start |
8254.84221875 |
transcript.pyannote[1442].end |
8257.20471875 |
transcript.pyannote[1443].speaker |
SPEAKER_11 |
transcript.pyannote[1443].start |
8257.44096875 |
transcript.pyannote[1443].end |
8275.54784375 |
transcript.pyannote[1444].speaker |
SPEAKER_00 |
transcript.pyannote[1444].start |
8263.87034375 |
transcript.pyannote[1444].end |
8264.03909375 |
transcript.pyannote[1445].speaker |
SPEAKER_21 |
transcript.pyannote[1445].start |
8264.03909375 |
transcript.pyannote[1445].end |
8264.22471875 |
transcript.pyannote[1446].speaker |
SPEAKER_00 |
transcript.pyannote[1446].start |
8264.22471875 |
transcript.pyannote[1446].end |
8264.29221875 |
transcript.pyannote[1447].speaker |
SPEAKER_21 |
transcript.pyannote[1447].start |
8272.99971875 |
transcript.pyannote[1447].end |
8273.11784375 |
transcript.pyannote[1448].speaker |
SPEAKER_11 |
transcript.pyannote[1448].start |
8275.76721875 |
transcript.pyannote[1448].end |
8282.71971875 |
transcript.pyannote[1449].speaker |
SPEAKER_11 |
transcript.pyannote[1449].start |
8283.12471875 |
transcript.pyannote[1449].end |
8284.54221875 |
transcript.pyannote[1450].speaker |
SPEAKER_11 |
transcript.pyannote[1450].start |
8285.28471875 |
transcript.pyannote[1450].end |
8288.86221875 |
transcript.pyannote[1451].speaker |
SPEAKER_27 |
transcript.pyannote[1451].start |
8286.55034375 |
transcript.pyannote[1451].end |
8287.03971875 |
transcript.pyannote[1452].speaker |
SPEAKER_27 |
transcript.pyannote[1452].start |
8288.86221875 |
transcript.pyannote[1452].end |
8317.92096875 |
transcript.pyannote[1453].speaker |
SPEAKER_11 |
transcript.pyannote[1453].start |
8288.87909375 |
transcript.pyannote[1453].end |
8289.79034375 |
transcript.pyannote[1454].speaker |
SPEAKER_21 |
transcript.pyannote[1454].start |
8301.19784375 |
transcript.pyannote[1454].end |
8302.12596875 |
transcript.pyannote[1455].speaker |
SPEAKER_11 |
transcript.pyannote[1455].start |
8306.41221875 |
transcript.pyannote[1455].end |
8307.03659375 |
transcript.pyannote[1456].speaker |
SPEAKER_27 |
transcript.pyannote[1456].start |
8318.05596875 |
transcript.pyannote[1456].end |
8324.06346875 |
transcript.pyannote[1457].speaker |
SPEAKER_27 |
transcript.pyannote[1457].start |
8324.35034375 |
transcript.pyannote[1457].end |
8344.73534375 |
transcript.pyannote[1458].speaker |
SPEAKER_06 |
transcript.pyannote[1458].start |
8344.70159375 |
transcript.pyannote[1458].end |
8344.71846875 |
transcript.pyannote[1459].speaker |
SPEAKER_06 |
transcript.pyannote[1459].start |
8344.73534375 |
transcript.pyannote[1459].end |
8344.78596875 |
transcript.pyannote[1460].speaker |
SPEAKER_27 |
transcript.pyannote[1460].start |
8344.78596875 |
transcript.pyannote[1460].end |
8347.95846875 |
transcript.pyannote[1461].speaker |
SPEAKER_06 |
transcript.pyannote[1461].start |
8344.81971875 |
transcript.pyannote[1461].end |
8345.03909375 |
transcript.pyannote[1462].speaker |
SPEAKER_06 |
transcript.pyannote[1462].start |
8346.47346875 |
transcript.pyannote[1462].end |
8346.84471875 |
transcript.pyannote[1463].speaker |
SPEAKER_11 |
transcript.pyannote[1463].start |
8346.84471875 |
transcript.pyannote[1463].end |
8346.86159375 |
transcript.pyannote[1464].speaker |
SPEAKER_11 |
transcript.pyannote[1464].start |
8347.95846875 |
transcript.pyannote[1464].end |
8347.99221875 |
transcript.pyannote[1465].speaker |
SPEAKER_27 |
transcript.pyannote[1465].start |
8348.38034375 |
transcript.pyannote[1465].end |
8348.39721875 |
transcript.pyannote[1466].speaker |
SPEAKER_11 |
transcript.pyannote[1466].start |
8348.39721875 |
transcript.pyannote[1466].end |
8350.10159375 |
transcript.pyannote[1467].speaker |
SPEAKER_11 |
transcript.pyannote[1467].start |
8350.84409375 |
transcript.pyannote[1467].end |
8352.34596875 |
transcript.pyannote[1468].speaker |
SPEAKER_11 |
transcript.pyannote[1468].start |
8352.95346875 |
transcript.pyannote[1468].end |
8356.54784375 |
transcript.pyannote[1469].speaker |
SPEAKER_21 |
transcript.pyannote[1469].start |
8356.51409375 |
transcript.pyannote[1469].end |
8356.86846875 |
transcript.pyannote[1470].speaker |
SPEAKER_11 |
transcript.pyannote[1470].start |
8356.93596875 |
transcript.pyannote[1470].end |
8357.44221875 |
transcript.pyannote[1471].speaker |
SPEAKER_11 |
transcript.pyannote[1471].start |
8357.91471875 |
transcript.pyannote[1471].end |
8361.12096875 |
transcript.pyannote[1472].speaker |
SPEAKER_21 |
transcript.pyannote[1472].start |
8359.99034375 |
transcript.pyannote[1472].end |
8360.27721875 |
transcript.pyannote[1473].speaker |
SPEAKER_11 |
transcript.pyannote[1473].start |
8361.49221875 |
transcript.pyannote[1473].end |
8367.80346875 |
transcript.pyannote[1474].speaker |
SPEAKER_05 |
transcript.pyannote[1474].start |
8367.75284375 |
transcript.pyannote[1474].end |
8368.14096875 |
transcript.pyannote[1475].speaker |
SPEAKER_11 |
transcript.pyannote[1475].start |
8368.15784375 |
transcript.pyannote[1475].end |
8368.17471875 |
transcript.pyannote[1476].speaker |
SPEAKER_11 |
transcript.pyannote[1476].start |
8368.19159375 |
transcript.pyannote[1476].end |
8370.62159375 |
transcript.pyannote[1477].speaker |
SPEAKER_05 |
transcript.pyannote[1477].start |
8370.21659375 |
transcript.pyannote[1477].end |
8370.26721875 |
transcript.pyannote[1478].speaker |
SPEAKER_21 |
transcript.pyannote[1478].start |
8370.26721875 |
transcript.pyannote[1478].end |
8370.68909375 |
transcript.pyannote[1479].speaker |
SPEAKER_11 |
transcript.pyannote[1479].start |
8370.68909375 |
transcript.pyannote[1479].end |
8370.72284375 |
transcript.pyannote[1480].speaker |
SPEAKER_11 |
transcript.pyannote[1480].start |
8370.79034375 |
transcript.pyannote[1480].end |
8372.29221875 |
transcript.pyannote[1481].speaker |
SPEAKER_11 |
transcript.pyannote[1481].start |
8372.54534375 |
transcript.pyannote[1481].end |
8374.33409375 |
transcript.pyannote[1482].speaker |
SPEAKER_11 |
transcript.pyannote[1482].start |
8374.67159375 |
transcript.pyannote[1482].end |
8375.75159375 |
transcript.pyannote[1483].speaker |
SPEAKER_11 |
transcript.pyannote[1483].start |
8376.15659375 |
transcript.pyannote[1483].end |
8376.49409375 |
transcript.pyannote[1484].speaker |
SPEAKER_11 |
transcript.pyannote[1484].start |
8376.74721875 |
transcript.pyannote[1484].end |
8378.02971875 |
transcript.pyannote[1485].speaker |
SPEAKER_27 |
transcript.pyannote[1485].start |
8378.02971875 |
transcript.pyannote[1485].end |
8389.97721875 |
transcript.pyannote[1486].speaker |
SPEAKER_11 |
transcript.pyannote[1486].start |
8381.79284375 |
transcript.pyannote[1486].end |
8382.06284375 |
transcript.pyannote[1487].speaker |
SPEAKER_11 |
transcript.pyannote[1487].start |
8385.10034375 |
transcript.pyannote[1487].end |
8385.13409375 |
transcript.pyannote[1488].speaker |
SPEAKER_21 |
transcript.pyannote[1488].start |
8385.13409375 |
transcript.pyannote[1488].end |
8385.72471875 |
transcript.pyannote[1489].speaker |
SPEAKER_21 |
transcript.pyannote[1489].start |
8387.80034375 |
transcript.pyannote[1489].end |
8388.71159375 |
transcript.pyannote[1490].speaker |
SPEAKER_11 |
transcript.pyannote[1490].start |
8388.71159375 |
transcript.pyannote[1490].end |
8388.72846875 |
transcript.pyannote[1491].speaker |
SPEAKER_11 |
transcript.pyannote[1491].start |
8389.50471875 |
transcript.pyannote[1491].end |
8389.58909375 |
transcript.pyannote[1492].speaker |
SPEAKER_21 |
transcript.pyannote[1492].start |
8389.58909375 |
transcript.pyannote[1492].end |
8389.92659375 |
transcript.pyannote[1493].speaker |
SPEAKER_11 |
transcript.pyannote[1493].start |
8389.92659375 |
transcript.pyannote[1493].end |
8392.39034375 |
transcript.pyannote[1494].speaker |
SPEAKER_21 |
transcript.pyannote[1494].start |
8389.97721875 |
transcript.pyannote[1494].end |
8389.99409375 |
transcript.pyannote[1495].speaker |
SPEAKER_21 |
transcript.pyannote[1495].start |
8392.72784375 |
transcript.pyannote[1495].end |
8393.06534375 |
transcript.pyannote[1496].speaker |
SPEAKER_11 |
transcript.pyannote[1496].start |
8393.06534375 |
transcript.pyannote[1496].end |
8394.48284375 |
transcript.pyannote[1497].speaker |
SPEAKER_11 |
transcript.pyannote[1497].start |
8394.63471875 |
transcript.pyannote[1497].end |
8413.46721875 |
transcript.pyannote[1498].speaker |
SPEAKER_11 |
transcript.pyannote[1498].start |
8413.82159375 |
transcript.pyannote[1498].end |
8417.97284375 |
transcript.pyannote[1499].speaker |
SPEAKER_27 |
transcript.pyannote[1499].start |
8416.79159375 |
transcript.pyannote[1499].end |
8417.02784375 |
transcript.pyannote[1500].speaker |
SPEAKER_27 |
transcript.pyannote[1500].start |
8417.97284375 |
transcript.pyannote[1500].end |
8418.36096875 |
transcript.pyannote[1501].speaker |
SPEAKER_11 |
transcript.pyannote[1501].start |
8418.36096875 |
transcript.pyannote[1501].end |
8421.19596875 |
transcript.pyannote[1502].speaker |
SPEAKER_11 |
transcript.pyannote[1502].start |
8421.21284375 |
transcript.pyannote[1502].end |
8425.39784375 |
transcript.pyannote[1503].speaker |
SPEAKER_11 |
transcript.pyannote[1503].start |
8425.54971875 |
transcript.pyannote[1503].end |
8431.06784375 |
transcript.pyannote[1504].speaker |
SPEAKER_27 |
transcript.pyannote[1504].start |
8428.01346875 |
transcript.pyannote[1504].end |
8429.00909375 |
transcript.pyannote[1505].speaker |
SPEAKER_27 |
transcript.pyannote[1505].start |
8429.58284375 |
transcript.pyannote[1505].end |
8429.76846875 |
transcript.pyannote[1506].speaker |
SPEAKER_27 |
transcript.pyannote[1506].start |
8431.06784375 |
transcript.pyannote[1506].end |
8437.48034375 |
transcript.pyannote[1507].speaker |
SPEAKER_11 |
transcript.pyannote[1507].start |
8431.10159375 |
transcript.pyannote[1507].end |
8431.13534375 |
transcript.pyannote[1508].speaker |
SPEAKER_27 |
transcript.pyannote[1508].start |
8437.86846875 |
transcript.pyannote[1508].end |
8449.68096875 |
transcript.pyannote[1509].speaker |
SPEAKER_11 |
transcript.pyannote[1509].start |
8447.47034375 |
transcript.pyannote[1509].end |
8453.69721875 |
transcript.pyannote[1510].speaker |
SPEAKER_11 |
transcript.pyannote[1510].start |
8454.00096875 |
transcript.pyannote[1510].end |
8462.69159375 |
transcript.pyannote[1511].speaker |
SPEAKER_11 |
transcript.pyannote[1511].start |
8463.11346875 |
transcript.pyannote[1511].end |
8464.09221875 |
transcript.pyannote[1512].speaker |
SPEAKER_11 |
transcript.pyannote[1512].start |
8464.37909375 |
transcript.pyannote[1512].end |
8465.49284375 |
transcript.pyannote[1513].speaker |
SPEAKER_11 |
transcript.pyannote[1513].start |
8465.93159375 |
transcript.pyannote[1513].end |
8467.68659375 |
transcript.pyannote[1514].speaker |
SPEAKER_11 |
transcript.pyannote[1514].start |
8467.80471875 |
transcript.pyannote[1514].end |
8469.57659375 |
transcript.pyannote[1515].speaker |
SPEAKER_11 |
transcript.pyannote[1515].start |
8470.01534375 |
transcript.pyannote[1515].end |
8472.22596875 |
transcript.pyannote[1516].speaker |
SPEAKER_21 |
transcript.pyannote[1516].start |
8472.10784375 |
transcript.pyannote[1516].end |
8472.49596875 |
transcript.pyannote[1517].speaker |
SPEAKER_11 |
transcript.pyannote[1517].start |
8472.34409375 |
transcript.pyannote[1517].end |
8480.66346875 |
transcript.pyannote[1518].speaker |
SPEAKER_21 |
transcript.pyannote[1518].start |
8478.62159375 |
transcript.pyannote[1518].end |
8479.44846875 |
transcript.pyannote[1519].speaker |
SPEAKER_11 |
transcript.pyannote[1519].start |
8480.93346875 |
transcript.pyannote[1519].end |
8482.55346875 |
transcript.pyannote[1520].speaker |
SPEAKER_11 |
transcript.pyannote[1520].start |
8482.72221875 |
transcript.pyannote[1520].end |
8486.26596875 |
transcript.pyannote[1521].speaker |
SPEAKER_11 |
transcript.pyannote[1521].start |
8486.94096875 |
transcript.pyannote[1521].end |
8491.12596875 |
transcript.pyannote[1522].speaker |
SPEAKER_27 |
transcript.pyannote[1522].start |
8489.18534375 |
transcript.pyannote[1522].end |
8490.33284375 |
transcript.pyannote[1523].speaker |
SPEAKER_27 |
transcript.pyannote[1523].start |
8491.24409375 |
transcript.pyannote[1523].end |
8504.18721875 |
transcript.pyannote[1524].speaker |
SPEAKER_27 |
transcript.pyannote[1524].start |
8504.74409375 |
transcript.pyannote[1524].end |
8535.37221875 |
transcript.pyannote[1525].speaker |
SPEAKER_02 |
transcript.pyannote[1525].start |
8509.89096875 |
transcript.pyannote[1525].end |
8511.07221875 |
transcript.pyannote[1526].speaker |
SPEAKER_02 |
transcript.pyannote[1526].start |
8517.43409375 |
transcript.pyannote[1526].end |
8517.78846875 |
transcript.pyannote[1527].speaker |
SPEAKER_06 |
transcript.pyannote[1527].start |
8517.78846875 |
transcript.pyannote[1527].end |
8517.82221875 |
transcript.pyannote[1528].speaker |
SPEAKER_03 |
transcript.pyannote[1528].start |
8521.04534375 |
transcript.pyannote[1528].end |
8521.12971875 |
transcript.pyannote[1529].speaker |
SPEAKER_00 |
transcript.pyannote[1529].start |
8521.12971875 |
transcript.pyannote[1529].end |
8521.21409375 |
transcript.pyannote[1530].speaker |
SPEAKER_00 |
transcript.pyannote[1530].start |
8525.23034375 |
transcript.pyannote[1530].end |
8525.26409375 |
transcript.pyannote[1531].speaker |
SPEAKER_02 |
transcript.pyannote[1531].start |
8525.26409375 |
transcript.pyannote[1531].end |
8525.39909375 |
transcript.pyannote[1532].speaker |
SPEAKER_00 |
transcript.pyannote[1532].start |
8525.39909375 |
transcript.pyannote[1532].end |
8525.46659375 |
transcript.pyannote[1533].speaker |
SPEAKER_11 |
transcript.pyannote[1533].start |
8535.47346875 |
transcript.pyannote[1533].end |
8543.28659375 |
transcript.pyannote[1534].speaker |
SPEAKER_11 |
transcript.pyannote[1534].start |
8543.62409375 |
transcript.pyannote[1534].end |
8548.56846875 |
transcript.pyannote[1535].speaker |
SPEAKER_11 |
transcript.pyannote[1535].start |
8548.95659375 |
transcript.pyannote[1535].end |
8558.03534375 |
transcript.pyannote[1536].speaker |
SPEAKER_00 |
transcript.pyannote[1536].start |
8551.89284375 |
transcript.pyannote[1536].end |
8551.92659375 |
transcript.pyannote[1537].speaker |
SPEAKER_00 |
transcript.pyannote[1537].start |
8552.04471875 |
transcript.pyannote[1537].end |
8552.11221875 |
transcript.pyannote[1538].speaker |
SPEAKER_27 |
transcript.pyannote[1538].start |
8558.03534375 |
transcript.pyannote[1538].end |
8568.17721875 |
transcript.pyannote[1539].speaker |
SPEAKER_27 |
transcript.pyannote[1539].start |
8568.58221875 |
transcript.pyannote[1539].end |
8575.33221875 |
transcript.pyannote[1540].speaker |
SPEAKER_21 |
transcript.pyannote[1540].start |
8571.55221875 |
transcript.pyannote[1540].end |
8571.85596875 |
transcript.pyannote[1541].speaker |
SPEAKER_27 |
transcript.pyannote[1541].start |
8575.39971875 |
transcript.pyannote[1541].end |
8575.41659375 |
transcript.pyannote[1542].speaker |
SPEAKER_21 |
transcript.pyannote[1542].start |
8575.41659375 |
transcript.pyannote[1542].end |
8575.48409375 |
transcript.pyannote[1543].speaker |
SPEAKER_27 |
transcript.pyannote[1543].start |
8575.48409375 |
transcript.pyannote[1543].end |
8587.73534375 |
transcript.pyannote[1544].speaker |
SPEAKER_11 |
transcript.pyannote[1544].start |
8582.23409375 |
transcript.pyannote[1544].end |
8582.50409375 |
transcript.pyannote[1545].speaker |
SPEAKER_11 |
transcript.pyannote[1545].start |
8585.74409375 |
transcript.pyannote[1545].end |
8587.29659375 |
transcript.pyannote[1546].speaker |
SPEAKER_13 |
transcript.pyannote[1546].start |
8594.94096875 |
transcript.pyannote[1546].end |
8597.42159375 |
transcript.pyannote[1547].speaker |
SPEAKER_06 |
transcript.pyannote[1547].start |
8603.61471875 |
transcript.pyannote[1547].end |
8604.49221875 |
transcript.pyannote[1548].speaker |
SPEAKER_06 |
transcript.pyannote[1548].start |
8604.84659375 |
transcript.pyannote[1548].end |
8606.85471875 |
transcript.pyannote[1549].speaker |
SPEAKER_13 |
transcript.pyannote[1549].start |
8608.87971875 |
transcript.pyannote[1549].end |
8609.58846875 |
transcript.pyannote[1550].speaker |
SPEAKER_06 |
transcript.pyannote[1550].start |
8613.65534375 |
transcript.pyannote[1550].end |
8614.16159375 |
transcript.pyannote[1551].speaker |
SPEAKER_06 |
transcript.pyannote[1551].start |
8614.71846875 |
transcript.pyannote[1551].end |
8627.54346875 |
transcript.pyannote[1552].speaker |
SPEAKER_06 |
transcript.pyannote[1552].start |
8627.96534375 |
transcript.pyannote[1552].end |
8629.39971875 |
transcript.pyannote[1553].speaker |
SPEAKER_06 |
transcript.pyannote[1553].start |
8629.51784375 |
transcript.pyannote[1553].end |
8635.35659375 |
transcript.pyannote[1554].speaker |
SPEAKER_06 |
transcript.pyannote[1554].start |
8635.74471875 |
transcript.pyannote[1554].end |
8643.32159375 |
transcript.pyannote[1555].speaker |
SPEAKER_06 |
transcript.pyannote[1555].start |
8643.96284375 |
transcript.pyannote[1555].end |
8646.17346875 |
transcript.pyannote[1556].speaker |
SPEAKER_06 |
transcript.pyannote[1556].start |
8646.40971875 |
transcript.pyannote[1556].end |
8647.74284375 |
transcript.pyannote[1557].speaker |
SPEAKER_06 |
transcript.pyannote[1557].start |
8648.23221875 |
transcript.pyannote[1557].end |
8658.76221875 |
transcript.pyannote[1558].speaker |
SPEAKER_06 |
transcript.pyannote[1558].start |
8658.84659375 |
transcript.pyannote[1558].end |
8661.81659375 |
transcript.pyannote[1559].speaker |
SPEAKER_06 |
transcript.pyannote[1559].start |
8662.55909375 |
transcript.pyannote[1559].end |
8674.25346875 |
transcript.pyannote[1560].speaker |
SPEAKER_06 |
transcript.pyannote[1560].start |
8674.67534375 |
transcript.pyannote[1560].end |
8676.02534375 |
transcript.pyannote[1561].speaker |
SPEAKER_06 |
transcript.pyannote[1561].start |
8676.41346875 |
transcript.pyannote[1561].end |
8677.15596875 |
transcript.pyannote[1562].speaker |
SPEAKER_06 |
transcript.pyannote[1562].start |
8677.34159375 |
transcript.pyannote[1562].end |
8678.37096875 |
transcript.pyannote[1563].speaker |
SPEAKER_06 |
transcript.pyannote[1563].start |
8678.43846875 |
transcript.pyannote[1563].end |
8685.35721875 |
transcript.pyannote[1564].speaker |
SPEAKER_06 |
transcript.pyannote[1564].start |
8686.11659375 |
transcript.pyannote[1564].end |
8686.72409375 |
transcript.pyannote[1565].speaker |
SPEAKER_06 |
transcript.pyannote[1565].start |
8686.75784375 |
transcript.pyannote[1565].end |
8688.41159375 |
transcript.pyannote[1566].speaker |
SPEAKER_06 |
transcript.pyannote[1566].start |
8688.83346875 |
transcript.pyannote[1566].end |
8689.55909375 |
transcript.pyannote[1567].speaker |
SPEAKER_06 |
transcript.pyannote[1567].start |
8689.81221875 |
transcript.pyannote[1567].end |
8700.78096875 |
transcript.pyannote[1568].speaker |
SPEAKER_06 |
transcript.pyannote[1568].start |
8700.83159375 |
transcript.pyannote[1568].end |
8705.62409375 |
transcript.pyannote[1569].speaker |
SPEAKER_06 |
transcript.pyannote[1569].start |
8706.09659375 |
transcript.pyannote[1569].end |
8714.87159375 |
transcript.pyannote[1570].speaker |
SPEAKER_06 |
transcript.pyannote[1570].start |
8715.66471875 |
transcript.pyannote[1570].end |
8726.07659375 |
transcript.pyannote[1571].speaker |
SPEAKER_06 |
transcript.pyannote[1571].start |
8726.14409375 |
transcript.pyannote[1571].end |
8727.89909375 |
transcript.pyannote[1572].speaker |
SPEAKER_06 |
transcript.pyannote[1572].start |
8728.11846875 |
transcript.pyannote[1572].end |
8732.50596875 |
transcript.pyannote[1573].speaker |
SPEAKER_06 |
transcript.pyannote[1573].start |
8732.89409375 |
transcript.pyannote[1573].end |
8741.29784375 |
transcript.pyannote[1574].speaker |
SPEAKER_06 |
transcript.pyannote[1574].start |
8741.88846875 |
transcript.pyannote[1574].end |
8751.50721875 |
transcript.pyannote[1575].speaker |
SPEAKER_06 |
transcript.pyannote[1575].start |
8751.89534375 |
transcript.pyannote[1575].end |
8758.05471875 |
transcript.pyannote[1576].speaker |
SPEAKER_11 |
transcript.pyannote[1576].start |
8759.03346875 |
transcript.pyannote[1576].end |
8760.85596875 |
transcript.pyannote[1577].speaker |
SPEAKER_11 |
transcript.pyannote[1577].start |
8761.22721875 |
transcript.pyannote[1577].end |
8764.43346875 |
transcript.pyannote[1578].speaker |
SPEAKER_11 |
transcript.pyannote[1578].start |
8764.63596875 |
transcript.pyannote[1578].end |
8767.77471875 |
transcript.pyannote[1579].speaker |
SPEAKER_06 |
transcript.pyannote[1579].start |
8765.54721875 |
transcript.pyannote[1579].end |
8767.79159375 |
transcript.pyannote[1580].speaker |
SPEAKER_11 |
transcript.pyannote[1580].start |
8767.79159375 |
transcript.pyannote[1580].end |
8768.17971875 |
transcript.pyannote[1581].speaker |
SPEAKER_06 |
transcript.pyannote[1581].start |
8768.17971875 |
transcript.pyannote[1581].end |
8768.41596875 |
transcript.pyannote[1582].speaker |
SPEAKER_11 |
transcript.pyannote[1582].start |
8768.41596875 |
transcript.pyannote[1582].end |
8769.00659375 |
transcript.pyannote[1583].speaker |
SPEAKER_06 |
transcript.pyannote[1583].start |
8769.00659375 |
transcript.pyannote[1583].end |
8769.05721875 |
transcript.pyannote[1584].speaker |
SPEAKER_11 |
transcript.pyannote[1584].start |
8769.05721875 |
transcript.pyannote[1584].end |
8769.07409375 |
transcript.pyannote[1585].speaker |
SPEAKER_11 |
transcript.pyannote[1585].start |
8771.21721875 |
transcript.pyannote[1585].end |
8771.30159375 |
transcript.pyannote[1586].speaker |
SPEAKER_06 |
transcript.pyannote[1586].start |
8771.30159375 |
transcript.pyannote[1586].end |
8775.84096875 |
transcript.pyannote[1587].speaker |
SPEAKER_11 |
transcript.pyannote[1587].start |
8773.51221875 |
transcript.pyannote[1587].end |
8776.63409375 |
transcript.pyannote[1588].speaker |
SPEAKER_11 |
transcript.pyannote[1588].start |
8777.27534375 |
transcript.pyannote[1588].end |
8778.49034375 |
transcript.pyannote[1589].speaker |
SPEAKER_06 |
transcript.pyannote[1589].start |
8778.32159375 |
transcript.pyannote[1589].end |
8779.31721875 |
transcript.pyannote[1590].speaker |
SPEAKER_06 |
transcript.pyannote[1590].start |
8779.57034375 |
transcript.pyannote[1590].end |
8780.43096875 |
transcript.pyannote[1591].speaker |
SPEAKER_11 |
transcript.pyannote[1591].start |
8779.73909375 |
transcript.pyannote[1591].end |
8781.05534375 |
transcript.pyannote[1592].speaker |
SPEAKER_11 |
transcript.pyannote[1592].start |
8781.42659375 |
transcript.pyannote[1592].end |
8782.21971875 |
transcript.pyannote[1593].speaker |
SPEAKER_06 |
transcript.pyannote[1593].start |
8781.66284375 |
transcript.pyannote[1593].end |
8782.11846875 |
transcript.pyannote[1594].speaker |
SPEAKER_11 |
transcript.pyannote[1594].start |
8782.57409375 |
transcript.pyannote[1594].end |
8784.63284375 |
transcript.pyannote[1595].speaker |
SPEAKER_11 |
transcript.pyannote[1595].start |
8785.54409375 |
transcript.pyannote[1595].end |
8794.21784375 |
transcript.pyannote[1596].speaker |
SPEAKER_06 |
transcript.pyannote[1596].start |
8786.32034375 |
transcript.pyannote[1596].end |
8788.34534375 |
transcript.pyannote[1597].speaker |
SPEAKER_11 |
transcript.pyannote[1597].start |
8794.60596875 |
transcript.pyannote[1597].end |
8795.61846875 |
transcript.pyannote[1598].speaker |
SPEAKER_06 |
transcript.pyannote[1598].start |
8794.62284375 |
transcript.pyannote[1598].end |
8798.03159375 |
transcript.pyannote[1599].speaker |
SPEAKER_11 |
transcript.pyannote[1599].start |
8796.27659375 |
transcript.pyannote[1599].end |
8803.41471875 |
transcript.pyannote[1600].speaker |
SPEAKER_06 |
transcript.pyannote[1600].start |
8801.08596875 |
transcript.pyannote[1600].end |
8803.43159375 |
transcript.pyannote[1601].speaker |
SPEAKER_11 |
transcript.pyannote[1601].start |
8803.43159375 |
transcript.pyannote[1601].end |
8803.75221875 |
transcript.pyannote[1602].speaker |
SPEAKER_06 |
transcript.pyannote[1602].start |
8803.75221875 |
transcript.pyannote[1602].end |
8803.81971875 |
transcript.pyannote[1603].speaker |
SPEAKER_11 |
transcript.pyannote[1603].start |
8803.81971875 |
transcript.pyannote[1603].end |
8805.03471875 |
transcript.pyannote[1604].speaker |
SPEAKER_06 |
transcript.pyannote[1604].start |
8805.03471875 |
transcript.pyannote[1604].end |
8805.16971875 |
transcript.pyannote[1605].speaker |
SPEAKER_11 |
transcript.pyannote[1605].start |
8805.16971875 |
transcript.pyannote[1605].end |
8805.18659375 |
transcript.pyannote[1606].speaker |
SPEAKER_06 |
transcript.pyannote[1606].start |
8805.18659375 |
transcript.pyannote[1606].end |
8807.98784375 |
transcript.pyannote[1607].speaker |
SPEAKER_06 |
transcript.pyannote[1607].start |
8808.10596875 |
transcript.pyannote[1607].end |
8808.49409375 |
transcript.pyannote[1608].speaker |
SPEAKER_06 |
transcript.pyannote[1608].start |
8808.81471875 |
transcript.pyannote[1608].end |
8818.26471875 |
transcript.pyannote[1609].speaker |
SPEAKER_11 |
transcript.pyannote[1609].start |
8813.64096875 |
transcript.pyannote[1609].end |
8813.69159375 |
transcript.pyannote[1610].speaker |
SPEAKER_24 |
transcript.pyannote[1610].start |
8813.69159375 |
transcript.pyannote[1610].end |
8814.06284375 |
transcript.pyannote[1611].speaker |
SPEAKER_00 |
transcript.pyannote[1611].start |
8814.06284375 |
transcript.pyannote[1611].end |
8814.13034375 |
transcript.pyannote[1612].speaker |
SPEAKER_06 |
transcript.pyannote[1612].start |
8819.19284375 |
transcript.pyannote[1612].end |
8821.63971875 |
transcript.pyannote[1613].speaker |
SPEAKER_24 |
transcript.pyannote[1613].start |
8819.49659375 |
transcript.pyannote[1613].end |
8826.82034375 |
transcript.pyannote[1614].speaker |
SPEAKER_21 |
transcript.pyannote[1614].start |
8826.76971875 |
transcript.pyannote[1614].end |
8826.78659375 |
transcript.pyannote[1615].speaker |
SPEAKER_06 |
transcript.pyannote[1615].start |
8826.78659375 |
transcript.pyannote[1615].end |
8826.80346875 |
transcript.pyannote[1616].speaker |
SPEAKER_21 |
transcript.pyannote[1616].start |
8826.80346875 |
transcript.pyannote[1616].end |
8827.07346875 |
transcript.pyannote[1617].speaker |
SPEAKER_24 |
transcript.pyannote[1617].start |
8827.07346875 |
transcript.pyannote[1617].end |
8837.48534375 |
transcript.pyannote[1618].speaker |
SPEAKER_06 |
transcript.pyannote[1618].start |
8836.82721875 |
transcript.pyannote[1618].end |
8838.27846875 |
transcript.pyannote[1619].speaker |
SPEAKER_24 |
transcript.pyannote[1619].start |
8838.27846875 |
transcript.pyannote[1619].end |
8838.31221875 |
transcript.pyannote[1620].speaker |
SPEAKER_06 |
transcript.pyannote[1620].start |
8838.31221875 |
transcript.pyannote[1620].end |
8838.63284375 |
transcript.pyannote[1621].speaker |
SPEAKER_24 |
transcript.pyannote[1621].start |
8838.63284375 |
transcript.pyannote[1621].end |
8838.64971875 |
transcript.pyannote[1622].speaker |
SPEAKER_24 |
transcript.pyannote[1622].start |
8839.02096875 |
transcript.pyannote[1622].end |
8843.66159375 |
transcript.pyannote[1623].speaker |
SPEAKER_06 |
transcript.pyannote[1623].start |
8843.54346875 |
transcript.pyannote[1623].end |
8845.24784375 |
transcript.pyannote[1624].speaker |
SPEAKER_06 |
transcript.pyannote[1624].start |
8846.36159375 |
transcript.pyannote[1624].end |
8853.17909375 |
transcript.pyannote[1625].speaker |
SPEAKER_06 |
transcript.pyannote[1625].start |
8853.75284375 |
transcript.pyannote[1625].end |
8854.81596875 |
transcript.pyannote[1626].speaker |
SPEAKER_06 |
transcript.pyannote[1626].start |
8854.84971875 |
transcript.pyannote[1626].end |
8865.36284375 |
transcript.pyannote[1627].speaker |
SPEAKER_22 |
transcript.pyannote[1627].start |
8861.68409375 |
transcript.pyannote[1627].end |
8862.05534375 |
transcript.pyannote[1628].speaker |
SPEAKER_06 |
transcript.pyannote[1628].start |
8865.90284375 |
transcript.pyannote[1628].end |
8865.91971875 |
transcript.pyannote[1629].speaker |
SPEAKER_22 |
transcript.pyannote[1629].start |
8865.91971875 |
transcript.pyannote[1629].end |
8873.09159375 |
transcript.pyannote[1630].speaker |
SPEAKER_06 |
transcript.pyannote[1630].start |
8872.39971875 |
transcript.pyannote[1630].end |
8875.94346875 |
transcript.pyannote[1631].speaker |
SPEAKER_22 |
transcript.pyannote[1631].start |
8873.19284375 |
transcript.pyannote[1631].end |
8873.44596875 |
transcript.pyannote[1632].speaker |
SPEAKER_22 |
transcript.pyannote[1632].start |
8874.47534375 |
transcript.pyannote[1632].end |
8881.68096875 |
transcript.pyannote[1633].speaker |
SPEAKER_06 |
transcript.pyannote[1633].start |
8881.37721875 |
transcript.pyannote[1633].end |
8883.75659375 |
transcript.pyannote[1634].speaker |
SPEAKER_22 |
transcript.pyannote[1634].start |
8882.37284375 |
transcript.pyannote[1634].end |
8888.54909375 |
transcript.pyannote[1635].speaker |
SPEAKER_06 |
transcript.pyannote[1635].start |
8887.89096875 |
transcript.pyannote[1635].end |
8894.53971875 |
transcript.pyannote[1636].speaker |
SPEAKER_22 |
transcript.pyannote[1636].start |
8894.53971875 |
transcript.pyannote[1636].end |
8894.55659375 |
transcript.pyannote[1637].speaker |
SPEAKER_06 |
transcript.pyannote[1637].start |
8894.55659375 |
transcript.pyannote[1637].end |
8894.57346875 |
transcript.pyannote[1638].speaker |
SPEAKER_11 |
transcript.pyannote[1638].start |
8894.92784375 |
transcript.pyannote[1638].end |
8897.23971875 |
transcript.pyannote[1639].speaker |
SPEAKER_06 |
transcript.pyannote[1639].start |
8897.54346875 |
transcript.pyannote[1639].end |
8900.53034375 |
transcript.pyannote[1640].speaker |
SPEAKER_11 |
transcript.pyannote[1640].start |
8897.64471875 |
transcript.pyannote[1640].end |
8897.69534375 |
transcript.pyannote[1641].speaker |
SPEAKER_11 |
transcript.pyannote[1641].start |
8897.71221875 |
transcript.pyannote[1641].end |
8897.72909375 |
transcript.pyannote[1642].speaker |
SPEAKER_11 |
transcript.pyannote[1642].start |
8900.86784375 |
transcript.pyannote[1642].end |
8901.54284375 |
transcript.pyannote[1643].speaker |
SPEAKER_11 |
transcript.pyannote[1643].start |
8902.47096875 |
transcript.pyannote[1643].end |
8902.53846875 |
transcript.pyannote[1644].speaker |
SPEAKER_06 |
transcript.pyannote[1644].start |
8902.53846875 |
transcript.pyannote[1644].end |
8906.79096875 |
transcript.pyannote[1645].speaker |
SPEAKER_11 |
transcript.pyannote[1645].start |
8902.55534375 |
transcript.pyannote[1645].end |
8903.65221875 |
transcript.pyannote[1646].speaker |
SPEAKER_11 |
transcript.pyannote[1646].start |
8906.79096875 |
transcript.pyannote[1646].end |
8908.12409375 |
transcript.pyannote[1647].speaker |
SPEAKER_06 |
transcript.pyannote[1647].start |
8908.46159375 |
transcript.pyannote[1647].end |
8914.90784375 |
transcript.pyannote[1648].speaker |
SPEAKER_11 |
transcript.pyannote[1648].start |
8914.99221875 |
transcript.pyannote[1648].end |
8915.19471875 |
transcript.pyannote[1649].speaker |
SPEAKER_11 |
transcript.pyannote[1649].start |
8915.78534375 |
transcript.pyannote[1649].end |
8918.90721875 |
transcript.pyannote[1650].speaker |
SPEAKER_11 |
transcript.pyannote[1650].start |
8919.41346875 |
transcript.pyannote[1650].end |
8920.76346875 |
transcript.pyannote[1651].speaker |
SPEAKER_06 |
transcript.pyannote[1651].start |
8919.56534375 |
transcript.pyannote[1651].end |
8921.52284375 |
transcript.pyannote[1652].speaker |
SPEAKER_11 |
transcript.pyannote[1652].start |
8921.05034375 |
transcript.pyannote[1652].end |
8923.44659375 |
transcript.pyannote[1653].speaker |
SPEAKER_06 |
transcript.pyannote[1653].start |
8922.11346875 |
transcript.pyannote[1653].end |
8923.80096875 |
transcript.pyannote[1654].speaker |
SPEAKER_06 |
transcript.pyannote[1654].start |
8924.67846875 |
transcript.pyannote[1654].end |
8925.16784375 |
transcript.pyannote[1655].speaker |
SPEAKER_06 |
transcript.pyannote[1655].start |
8925.30284375 |
transcript.pyannote[1655].end |
8928.07034375 |
transcript.pyannote[1656].speaker |
SPEAKER_06 |
transcript.pyannote[1656].start |
8928.54284375 |
transcript.pyannote[1656].end |
8947.44284375 |
transcript.pyannote[1657].speaker |
SPEAKER_11 |
transcript.pyannote[1657].start |
8945.50221875 |
transcript.pyannote[1657].end |
8948.62409375 |
transcript.pyannote[1658].speaker |
SPEAKER_11 |
transcript.pyannote[1658].start |
8948.97846875 |
transcript.pyannote[1658].end |
8960.75721875 |
transcript.pyannote[1659].speaker |
SPEAKER_06 |
transcript.pyannote[1659].start |
8959.99784375 |
transcript.pyannote[1659].end |
8961.29721875 |
transcript.pyannote[1660].speaker |
SPEAKER_11 |
transcript.pyannote[1660].start |
8961.46596875 |
transcript.pyannote[1660].end |
8970.10596875 |
transcript.pyannote[1661].speaker |
SPEAKER_11 |
transcript.pyannote[1661].start |
8970.34221875 |
transcript.pyannote[1661].end |
8985.25971875 |
transcript.pyannote[1662].speaker |
SPEAKER_11 |
transcript.pyannote[1662].start |
8985.52971875 |
transcript.pyannote[1662].end |
8991.33471875 |
transcript.pyannote[1663].speaker |
SPEAKER_06 |
transcript.pyannote[1663].start |
8985.54659375 |
transcript.pyannote[1663].end |
8986.00221875 |
transcript.pyannote[1664].speaker |
SPEAKER_06 |
transcript.pyannote[1664].start |
8989.88346875 |
transcript.pyannote[1664].end |
8990.50784375 |
transcript.pyannote[1665].speaker |
SPEAKER_06 |
transcript.pyannote[1665].start |
8992.54971875 |
transcript.pyannote[1665].end |
8993.25846875 |
transcript.pyannote[1666].speaker |
SPEAKER_06 |
transcript.pyannote[1666].start |
8993.62971875 |
transcript.pyannote[1666].end |
9001.40909375 |
transcript.pyannote[1667].speaker |
SPEAKER_11 |
transcript.pyannote[1667].start |
8999.26596875 |
transcript.pyannote[1667].end |
9001.54409375 |
transcript.pyannote[1668].speaker |
SPEAKER_11 |
transcript.pyannote[1668].start |
9002.86034375 |
transcript.pyannote[1668].end |
9009.52596875 |
transcript.pyannote[1669].speaker |
SPEAKER_06 |
transcript.pyannote[1669].start |
9005.34096875 |
transcript.pyannote[1669].end |
9007.97346875 |
transcript.pyannote[1670].speaker |
SPEAKER_11 |
transcript.pyannote[1670].start |
9009.67784375 |
transcript.pyannote[1670].end |
9015.24659375 |
transcript.pyannote[1671].speaker |
SPEAKER_11 |
transcript.pyannote[1671].start |
9015.63471875 |
transcript.pyannote[1671].end |
9016.95096875 |
transcript.pyannote[1672].speaker |
SPEAKER_06 |
transcript.pyannote[1672].start |
9016.81596875 |
transcript.pyannote[1672].end |
9017.01846875 |
transcript.pyannote[1673].speaker |
SPEAKER_11 |
transcript.pyannote[1673].start |
9017.01846875 |
transcript.pyannote[1673].end |
9017.08596875 |
transcript.pyannote[1674].speaker |
SPEAKER_06 |
transcript.pyannote[1674].start |
9017.08596875 |
transcript.pyannote[1674].end |
9017.20409375 |
transcript.pyannote[1675].speaker |
SPEAKER_06 |
transcript.pyannote[1675].start |
9017.45721875 |
transcript.pyannote[1675].end |
9055.67909375 |
transcript.pyannote[1676].speaker |
SPEAKER_11 |
transcript.pyannote[1676].start |
9049.03034375 |
transcript.pyannote[1676].end |
9049.46909375 |
transcript.pyannote[1677].speaker |
SPEAKER_11 |
transcript.pyannote[1677].start |
9052.75971875 |
transcript.pyannote[1677].end |
9053.41784375 |
transcript.pyannote[1678].speaker |
SPEAKER_11 |
transcript.pyannote[1678].start |
9053.85659375 |
transcript.pyannote[1678].end |
9054.41346875 |
transcript.pyannote[1679].speaker |
SPEAKER_06 |
transcript.pyannote[1679].start |
9056.06721875 |
transcript.pyannote[1679].end |
9056.08409375 |
transcript.pyannote[1680].speaker |
SPEAKER_11 |
transcript.pyannote[1680].start |
9056.08409375 |
transcript.pyannote[1680].end |
9056.43846875 |
transcript.pyannote[1681].speaker |
SPEAKER_06 |
transcript.pyannote[1681].start |
9056.43846875 |
transcript.pyannote[1681].end |
9065.53409375 |
transcript.pyannote[1682].speaker |
SPEAKER_11 |
transcript.pyannote[1682].start |
9057.16409375 |
transcript.pyannote[1682].end |
9060.92721875 |
transcript.pyannote[1683].speaker |
SPEAKER_06 |
transcript.pyannote[1683].start |
9066.69846875 |
transcript.pyannote[1683].end |
9074.12346875 |
transcript.pyannote[1684].speaker |
SPEAKER_05 |
transcript.pyannote[1684].start |
9066.73221875 |
transcript.pyannote[1684].end |
9066.74909375 |
transcript.pyannote[1685].speaker |
SPEAKER_11 |
transcript.pyannote[1685].start |
9066.74909375 |
transcript.pyannote[1685].end |
9067.30596875 |
transcript.pyannote[1686].speaker |
SPEAKER_11 |
transcript.pyannote[1686].start |
9071.72721875 |
transcript.pyannote[1686].end |
9078.46034375 |
transcript.pyannote[1687].speaker |
SPEAKER_11 |
transcript.pyannote[1687].start |
9078.67971875 |
transcript.pyannote[1687].end |
9079.74284375 |
transcript.pyannote[1688].speaker |
SPEAKER_06 |
transcript.pyannote[1688].start |
9078.73034375 |
transcript.pyannote[1688].end |
9106.77659375 |
transcript.pyannote[1689].speaker |
SPEAKER_11 |
transcript.pyannote[1689].start |
9081.71721875 |
transcript.pyannote[1689].end |
9083.32034375 |
transcript.pyannote[1690].speaker |
SPEAKER_11 |
transcript.pyannote[1690].start |
9085.21034375 |
transcript.pyannote[1690].end |
9086.18909375 |
transcript.pyannote[1691].speaker |
SPEAKER_11 |
transcript.pyannote[1691].start |
9086.35784375 |
transcript.pyannote[1691].end |
9086.96534375 |
transcript.pyannote[1692].speaker |
SPEAKER_00 |
transcript.pyannote[1692].start |
9086.96534375 |
transcript.pyannote[1692].end |
9087.08346875 |
transcript.pyannote[1693].speaker |
SPEAKER_00 |
transcript.pyannote[1693].start |
9087.91034375 |
transcript.pyannote[1693].end |
9088.02846875 |
transcript.pyannote[1694].speaker |
SPEAKER_28 |
transcript.pyannote[1694].start |
9088.02846875 |
transcript.pyannote[1694].end |
9089.09159375 |
transcript.pyannote[1695].speaker |
SPEAKER_11 |
transcript.pyannote[1695].start |
9104.73471875 |
transcript.pyannote[1695].end |
9105.29159375 |
transcript.pyannote[1696].speaker |
SPEAKER_11 |
transcript.pyannote[1696].start |
9106.77659375 |
transcript.pyannote[1696].end |
9113.07096875 |
transcript.pyannote[1697].speaker |
SPEAKER_11 |
transcript.pyannote[1697].start |
9113.37471875 |
transcript.pyannote[1697].end |
9115.68659375 |
transcript.pyannote[1698].speaker |
SPEAKER_11 |
transcript.pyannote[1698].start |
9115.87221875 |
transcript.pyannote[1698].end |
9116.58096875 |
transcript.pyannote[1699].speaker |
SPEAKER_11 |
transcript.pyannote[1699].start |
9117.00284375 |
transcript.pyannote[1699].end |
9121.08659375 |
transcript.pyannote[1700].speaker |
SPEAKER_11 |
transcript.pyannote[1700].start |
9121.27221875 |
transcript.pyannote[1700].end |
9127.16159375 |
transcript.pyannote[1701].speaker |
SPEAKER_06 |
transcript.pyannote[1701].start |
9126.38534375 |
transcript.pyannote[1701].end |
9127.73534375 |
transcript.pyannote[1702].speaker |
SPEAKER_11 |
transcript.pyannote[1702].start |
9127.73534375 |
transcript.pyannote[1702].end |
9129.33846875 |
transcript.pyannote[1703].speaker |
SPEAKER_06 |
transcript.pyannote[1703].start |
9128.88284375 |
transcript.pyannote[1703].end |
9137.62409375 |
transcript.pyannote[1704].speaker |
SPEAKER_11 |
transcript.pyannote[1704].start |
9134.11409375 |
transcript.pyannote[1704].end |
9134.75534375 |
transcript.pyannote[1705].speaker |
SPEAKER_11 |
transcript.pyannote[1705].start |
9135.43034375 |
transcript.pyannote[1705].end |
9136.17284375 |
transcript.pyannote[1706].speaker |
SPEAKER_11 |
transcript.pyannote[1706].start |
9136.22346875 |
transcript.pyannote[1706].end |
9136.27409375 |
transcript.pyannote[1707].speaker |
SPEAKER_11 |
transcript.pyannote[1707].start |
9136.49346875 |
transcript.pyannote[1707].end |
9140.57721875 |
transcript.pyannote[1708].speaker |
SPEAKER_11 |
transcript.pyannote[1708].start |
9141.25221875 |
transcript.pyannote[1708].end |
9144.27284375 |
transcript.pyannote[1709].speaker |
SPEAKER_11 |
transcript.pyannote[1709].start |
9144.99846875 |
transcript.pyannote[1709].end |
9151.66409375 |
transcript.pyannote[1710].speaker |
SPEAKER_09 |
transcript.pyannote[1710].start |
9145.04909375 |
transcript.pyannote[1710].end |
9146.97284375 |
transcript.pyannote[1711].speaker |
SPEAKER_11 |
transcript.pyannote[1711].start |
9152.30534375 |
transcript.pyannote[1711].end |
9154.85346875 |
transcript.pyannote[1712].speaker |
SPEAKER_11 |
transcript.pyannote[1712].start |
9155.17409375 |
transcript.pyannote[1712].end |
9158.58284375 |
transcript.pyannote[1713].speaker |
SPEAKER_06 |
transcript.pyannote[1713].start |
9155.29221875 |
transcript.pyannote[1713].end |
9157.51971875 |
transcript.pyannote[1714].speaker |
SPEAKER_06 |
transcript.pyannote[1714].start |
9157.85721875 |
transcript.pyannote[1714].end |
9160.60784375 |
transcript.pyannote[1715].speaker |
SPEAKER_06 |
transcript.pyannote[1715].start |
9161.02971875 |
transcript.pyannote[1715].end |
9173.19659375 |
transcript.pyannote[1716].speaker |
SPEAKER_06 |
transcript.pyannote[1716].start |
9173.60159375 |
transcript.pyannote[1716].end |
9184.68846875 |
transcript.pyannote[1717].speaker |
SPEAKER_06 |
transcript.pyannote[1717].start |
9185.11034375 |
transcript.pyannote[1717].end |
9200.51721875 |
transcript.pyannote[1718].speaker |
SPEAKER_06 |
transcript.pyannote[1718].start |
9201.09096875 |
transcript.pyannote[1718].end |
9212.39721875 |
transcript.pyannote[1719].speaker |
SPEAKER_06 |
transcript.pyannote[1719].start |
9212.92034375 |
transcript.pyannote[1719].end |
9215.99159375 |
transcript.pyannote[1720].speaker |
SPEAKER_06 |
transcript.pyannote[1720].start |
9216.56534375 |
transcript.pyannote[1720].end |
9222.84284375 |
transcript.pyannote[1721].speaker |
SPEAKER_06 |
transcript.pyannote[1721].start |
9223.21409375 |
transcript.pyannote[1721].end |
9224.29409375 |
transcript.pyannote[1722].speaker |
SPEAKER_06 |
transcript.pyannote[1722].start |
9224.53034375 |
transcript.pyannote[1722].end |
9235.78596875 |
transcript.pyannote[1723].speaker |
SPEAKER_21 |
transcript.pyannote[1723].start |
9232.96784375 |
transcript.pyannote[1723].end |
9233.92971875 |
transcript.pyannote[1724].speaker |
SPEAKER_21 |
transcript.pyannote[1724].start |
9235.41471875 |
transcript.pyannote[1724].end |
9235.76909375 |
transcript.pyannote[1725].speaker |
SPEAKER_21 |
transcript.pyannote[1725].start |
9235.78596875 |
transcript.pyannote[1725].end |
9235.88721875 |
transcript.pyannote[1726].speaker |
SPEAKER_06 |
transcript.pyannote[1726].start |
9235.88721875 |
transcript.pyannote[1726].end |
9242.55284375 |
transcript.pyannote[1727].speaker |
SPEAKER_06 |
transcript.pyannote[1727].start |
9243.73409375 |
transcript.pyannote[1727].end |
9248.23971875 |
transcript.pyannote[1728].speaker |
SPEAKER_21 |
transcript.pyannote[1728].start |
9244.83096875 |
transcript.pyannote[1728].end |
9244.86471875 |
transcript.pyannote[1729].speaker |
SPEAKER_05 |
transcript.pyannote[1729].start |
9244.86471875 |
transcript.pyannote[1729].end |
9244.93221875 |
transcript.pyannote[1730].speaker |
SPEAKER_21 |
transcript.pyannote[1730].start |
9244.93221875 |
transcript.pyannote[1730].end |
9245.79284375 |
transcript.pyannote[1731].speaker |
SPEAKER_05 |
transcript.pyannote[1731].start |
9245.79284375 |
transcript.pyannote[1731].end |
9245.86034375 |
transcript.pyannote[1732].speaker |
SPEAKER_21 |
transcript.pyannote[1732].start |
9245.86034375 |
transcript.pyannote[1732].end |
9245.97846875 |
transcript.pyannote[1733].speaker |
SPEAKER_05 |
transcript.pyannote[1733].start |
9245.97846875 |
transcript.pyannote[1733].end |
9246.02909375 |
transcript.pyannote[1734].speaker |
SPEAKER_11 |
transcript.pyannote[1734].start |
9246.02909375 |
transcript.pyannote[1734].end |
9246.82221875 |
transcript.pyannote[1735].speaker |
SPEAKER_06 |
transcript.pyannote[1735].start |
9248.61096875 |
transcript.pyannote[1735].end |
9248.93159375 |
transcript.pyannote[1736].speaker |
SPEAKER_06 |
transcript.pyannote[1736].start |
9249.38721875 |
transcript.pyannote[1736].end |
9249.58971875 |
transcript.pyannote[1737].speaker |
SPEAKER_06 |
transcript.pyannote[1737].start |
9249.96096875 |
transcript.pyannote[1737].end |
9250.75409375 |
transcript.pyannote[1738].speaker |
SPEAKER_11 |
transcript.pyannote[1738].start |
9250.75409375 |
transcript.pyannote[1738].end |
9250.87221875 |
transcript.pyannote[1739].speaker |
SPEAKER_06 |
transcript.pyannote[1739].start |
9250.87221875 |
transcript.pyannote[1739].end |
9250.99034375 |
transcript.pyannote[1740].speaker |
SPEAKER_11 |
transcript.pyannote[1740].start |
9250.99034375 |
transcript.pyannote[1740].end |
9263.62971875 |
transcript.pyannote[1741].speaker |
SPEAKER_06 |
transcript.pyannote[1741].start |
9252.00284375 |
transcript.pyannote[1741].end |
9253.20096875 |
transcript.pyannote[1742].speaker |
SPEAKER_06 |
transcript.pyannote[1742].start |
9253.70721875 |
transcript.pyannote[1742].end |
9254.38221875 |
transcript.pyannote[1743].speaker |
SPEAKER_06 |
transcript.pyannote[1743].start |
9261.08159375 |
transcript.pyannote[1743].end |
9263.64659375 |
transcript.pyannote[1744].speaker |
SPEAKER_11 |
transcript.pyannote[1744].start |
9263.64659375 |
transcript.pyannote[1744].end |
9264.13596875 |
transcript.pyannote[1745].speaker |
SPEAKER_06 |
transcript.pyannote[1745].start |
9264.13596875 |
transcript.pyannote[1745].end |
9264.40596875 |
transcript.pyannote[1746].speaker |
SPEAKER_11 |
transcript.pyannote[1746].start |
9264.40596875 |
transcript.pyannote[1746].end |
9264.64221875 |
transcript.pyannote[1747].speaker |
SPEAKER_06 |
transcript.pyannote[1747].start |
9264.64221875 |
transcript.pyannote[1747].end |
9268.47284375 |
transcript.pyannote[1748].speaker |
SPEAKER_11 |
transcript.pyannote[1748].start |
9265.84034375 |
transcript.pyannote[1748].end |
9267.12284375 |
transcript.pyannote[1749].speaker |
SPEAKER_28 |
transcript.pyannote[1749].start |
9267.12284375 |
transcript.pyannote[1749].end |
9267.13971875 |
transcript.pyannote[1750].speaker |
SPEAKER_11 |
transcript.pyannote[1750].start |
9267.13971875 |
transcript.pyannote[1750].end |
9267.19034375 |
transcript.pyannote[1751].speaker |
SPEAKER_06 |
transcript.pyannote[1751].start |
9268.75971875 |
transcript.pyannote[1751].end |
9280.23471875 |
transcript.pyannote[1752].speaker |
SPEAKER_11 |
transcript.pyannote[1752].start |
9278.91846875 |
transcript.pyannote[1752].end |
9280.25159375 |
transcript.pyannote[1753].speaker |
SPEAKER_06 |
transcript.pyannote[1753].start |
9280.25159375 |
transcript.pyannote[1753].end |
9280.31909375 |
transcript.pyannote[1754].speaker |
SPEAKER_11 |
transcript.pyannote[1754].start |
9280.31909375 |
transcript.pyannote[1754].end |
9281.46659375 |
transcript.pyannote[1755].speaker |
SPEAKER_06 |
transcript.pyannote[1755].start |
9282.05721875 |
transcript.pyannote[1755].end |
9284.90909375 |
transcript.pyannote[1756].speaker |
SPEAKER_11 |
transcript.pyannote[1756].start |
9284.55471875 |
transcript.pyannote[1756].end |
9284.85846875 |
transcript.pyannote[1757].speaker |
SPEAKER_11 |
transcript.pyannote[1757].start |
9284.90909375 |
transcript.pyannote[1757].end |
9290.74784375 |
transcript.pyannote[1758].speaker |
SPEAKER_06 |
transcript.pyannote[1758].start |
9288.72284375 |
transcript.pyannote[1758].end |
9289.19534375 |
transcript.pyannote[1759].speaker |
SPEAKER_06 |
transcript.pyannote[1759].start |
9289.49909375 |
transcript.pyannote[1759].end |
9292.35096875 |
transcript.pyannote[1760].speaker |
SPEAKER_11 |
transcript.pyannote[1760].start |
9291.15284375 |
transcript.pyannote[1760].end |
9295.69221875 |
transcript.pyannote[1761].speaker |
SPEAKER_06 |
transcript.pyannote[1761].start |
9294.78096875 |
transcript.pyannote[1761].end |
9296.13096875 |
transcript.pyannote[1762].speaker |
SPEAKER_11 |
transcript.pyannote[1762].start |
9296.13096875 |
transcript.pyannote[1762].end |
9298.52721875 |
transcript.pyannote[1763].speaker |
SPEAKER_06 |
transcript.pyannote[1763].start |
9298.52721875 |
transcript.pyannote[1763].end |
9298.76346875 |
transcript.pyannote[1764].speaker |
SPEAKER_11 |
transcript.pyannote[1764].start |
9298.76346875 |
transcript.pyannote[1764].end |
9298.83096875 |
transcript.pyannote[1765].speaker |
SPEAKER_06 |
transcript.pyannote[1765].start |
9298.83096875 |
transcript.pyannote[1765].end |
9316.49909375 |
transcript.pyannote[1766].speaker |
SPEAKER_00 |
transcript.pyannote[1766].start |
9306.13784375 |
transcript.pyannote[1766].end |
9307.03221875 |
transcript.pyannote[1767].speaker |
SPEAKER_02 |
transcript.pyannote[1767].start |
9307.03221875 |
transcript.pyannote[1767].end |
9309.54659375 |
transcript.pyannote[1768].speaker |
SPEAKER_00 |
transcript.pyannote[1768].start |
9309.54659375 |
transcript.pyannote[1768].end |
9309.61409375 |
transcript.pyannote[1769].speaker |
SPEAKER_11 |
transcript.pyannote[1769].start |
9314.27159375 |
transcript.pyannote[1769].end |
9314.98034375 |
transcript.pyannote[1770].speaker |
SPEAKER_11 |
transcript.pyannote[1770].start |
9315.41909375 |
transcript.pyannote[1770].end |
9317.27534375 |
transcript.pyannote[1771].speaker |
SPEAKER_06 |
transcript.pyannote[1771].start |
9317.27534375 |
transcript.pyannote[1771].end |
9317.49471875 |
transcript.pyannote[1772].speaker |
SPEAKER_11 |
transcript.pyannote[1772].start |
9317.49471875 |
transcript.pyannote[1772].end |
9323.62034375 |
transcript.pyannote[1773].speaker |
SPEAKER_06 |
transcript.pyannote[1773].start |
9322.60784375 |
transcript.pyannote[1773].end |
9328.69971875 |
transcript.pyannote[1774].speaker |
SPEAKER_11 |
transcript.pyannote[1774].start |
9324.68346875 |
transcript.pyannote[1774].end |
9324.91971875 |
transcript.pyannote[1775].speaker |
SPEAKER_11 |
transcript.pyannote[1775].start |
9325.69596875 |
transcript.pyannote[1775].end |
9336.09096875 |
transcript.pyannote[1776].speaker |
SPEAKER_06 |
transcript.pyannote[1776].start |
9334.18409375 |
transcript.pyannote[1776].end |
9356.00346875 |
transcript.pyannote[1777].speaker |
SPEAKER_11 |
transcript.pyannote[1777].start |
9338.26784375 |
transcript.pyannote[1777].end |
9338.85846875 |
transcript.pyannote[1778].speaker |
SPEAKER_11 |
transcript.pyannote[1778].start |
9347.54909375 |
transcript.pyannote[1778].end |
9349.96221875 |
transcript.pyannote[1779].speaker |
SPEAKER_11 |
transcript.pyannote[1779].start |
9354.34971875 |
transcript.pyannote[1779].end |
9363.54659375 |
transcript.pyannote[1780].speaker |
SPEAKER_06 |
transcript.pyannote[1780].start |
9356.71221875 |
transcript.pyannote[1780].end |
9357.15096875 |
transcript.pyannote[1781].speaker |
SPEAKER_06 |
transcript.pyannote[1781].start |
9357.77534375 |
transcript.pyannote[1781].end |
9359.24346875 |
transcript.pyannote[1782].speaker |
SPEAKER_06 |
transcript.pyannote[1782].start |
9359.88471875 |
transcript.pyannote[1782].end |
9368.84534375 |
transcript.pyannote[1783].speaker |
SPEAKER_06 |
transcript.pyannote[1783].start |
9369.25034375 |
transcript.pyannote[1783].end |
9449.59221875 |
transcript.pyannote[1784].speaker |
SPEAKER_21 |
transcript.pyannote[1784].start |
9398.08971875 |
transcript.pyannote[1784].end |
9398.96721875 |
transcript.pyannote[1785].speaker |
SPEAKER_04 |
transcript.pyannote[1785].start |
9398.96721875 |
transcript.pyannote[1785].end |
9399.52409375 |
transcript.pyannote[1786].speaker |
SPEAKER_11 |
transcript.pyannote[1786].start |
9445.93034375 |
transcript.pyannote[1786].end |
9447.92159375 |
transcript.pyannote[1787].speaker |
SPEAKER_11 |
transcript.pyannote[1787].start |
9448.49534375 |
transcript.pyannote[1787].end |
9451.39784375 |
transcript.pyannote[1788].speaker |
SPEAKER_06 |
transcript.pyannote[1788].start |
9450.84096875 |
transcript.pyannote[1788].end |
9456.27471875 |
transcript.pyannote[1789].speaker |
SPEAKER_11 |
transcript.pyannote[1789].start |
9452.14034375 |
transcript.pyannote[1789].end |
9452.49471875 |
transcript.pyannote[1790].speaker |
SPEAKER_11 |
transcript.pyannote[1790].start |
9454.94159375 |
transcript.pyannote[1790].end |
9455.21159375 |
transcript.pyannote[1791].speaker |
SPEAKER_11 |
transcript.pyannote[1791].start |
9456.27471875 |
transcript.pyannote[1791].end |
9459.39659375 |
transcript.pyannote[1792].speaker |
SPEAKER_06 |
transcript.pyannote[1792].start |
9459.39659375 |
transcript.pyannote[1792].end |
9459.97034375 |
transcript.pyannote[1793].speaker |
SPEAKER_06 |
transcript.pyannote[1793].start |
9470.28096875 |
transcript.pyannote[1793].end |
9473.31846875 |
transcript.pyannote[1794].speaker |
SPEAKER_06 |
transcript.pyannote[1794].start |
9484.60784375 |
transcript.pyannote[1794].end |
9486.02534375 |
transcript.pyannote[1795].speaker |
SPEAKER_06 |
transcript.pyannote[1795].start |
9491.71221875 |
transcript.pyannote[1795].end |
9491.72909375 |
transcript.pyannote[1796].speaker |
SPEAKER_11 |
transcript.pyannote[1796].start |
9491.72909375 |
transcript.pyannote[1796].end |
9492.26909375 |
transcript.pyannote[1797].speaker |
SPEAKER_25 |
transcript.pyannote[1797].start |
9498.86721875 |
transcript.pyannote[1797].end |
9500.20034375 |
transcript.pyannote[1798].speaker |
SPEAKER_25 |
transcript.pyannote[1798].start |
9500.50409375 |
transcript.pyannote[1798].end |
9503.06909375 |
transcript.pyannote[1799].speaker |
SPEAKER_25 |
transcript.pyannote[1799].start |
9503.57534375 |
transcript.pyannote[1799].end |
9504.55409375 |
transcript.pyannote[1800].speaker |
SPEAKER_25 |
transcript.pyannote[1800].start |
9504.77346875 |
transcript.pyannote[1800].end |
9520.53471875 |
transcript.pyannote[1801].speaker |
SPEAKER_11 |
transcript.pyannote[1801].start |
9520.73721875 |
transcript.pyannote[1801].end |
9523.31909375 |
transcript.pyannote[1802].speaker |
SPEAKER_11 |
transcript.pyannote[1802].start |
9523.42034375 |
transcript.pyannote[1802].end |
9525.02346875 |
transcript.pyannote[1803].speaker |
SPEAKER_11 |
transcript.pyannote[1803].start |
9525.07409375 |
transcript.pyannote[1803].end |
9526.03596875 |
transcript.pyannote[1804].speaker |
SPEAKER_11 |
transcript.pyannote[1804].start |
9527.74034375 |
transcript.pyannote[1804].end |
9532.92096875 |
transcript.pyannote[1805].speaker |
SPEAKER_11 |
transcript.pyannote[1805].start |
9533.68034375 |
transcript.pyannote[1805].end |
9536.34659375 |
transcript.pyannote[1806].speaker |
SPEAKER_25 |
transcript.pyannote[1806].start |
9535.80659375 |
transcript.pyannote[1806].end |
9543.67034375 |
transcript.pyannote[1807].speaker |
SPEAKER_11 |
transcript.pyannote[1807].start |
9542.67471875 |
transcript.pyannote[1807].end |
9543.36659375 |
transcript.pyannote[1808].speaker |
SPEAKER_25 |
transcript.pyannote[1808].start |
9544.56471875 |
transcript.pyannote[1808].end |
9546.55596875 |
transcript.pyannote[1809].speaker |
SPEAKER_25 |
transcript.pyannote[1809].start |
9546.67409375 |
transcript.pyannote[1809].end |
9551.53409375 |
transcript.pyannote[1810].speaker |
SPEAKER_11 |
transcript.pyannote[1810].start |
9549.15471875 |
transcript.pyannote[1810].end |
9549.34034375 |
transcript.pyannote[1811].speaker |
SPEAKER_11 |
transcript.pyannote[1811].start |
9551.21346875 |
transcript.pyannote[1811].end |
9551.93909375 |
transcript.pyannote[1812].speaker |
SPEAKER_11 |
transcript.pyannote[1812].start |
9552.31034375 |
transcript.pyannote[1812].end |
9554.82471875 |
transcript.pyannote[1813].speaker |
SPEAKER_25 |
transcript.pyannote[1813].start |
9553.84596875 |
transcript.pyannote[1813].end |
9554.13284375 |
transcript.pyannote[1814].speaker |
SPEAKER_11 |
transcript.pyannote[1814].start |
9561.50721875 |
transcript.pyannote[1814].end |
9562.85721875 |
transcript.pyannote[1815].speaker |
SPEAKER_24 |
transcript.pyannote[1815].start |
9562.85721875 |
transcript.pyannote[1815].end |
9582.71909375 |
transcript.pyannote[1816].speaker |
SPEAKER_21 |
transcript.pyannote[1816].start |
9567.98721875 |
transcript.pyannote[1816].end |
9568.25721875 |
transcript.pyannote[1817].speaker |
SPEAKER_25 |
transcript.pyannote[1817].start |
9579.54659375 |
transcript.pyannote[1817].end |
9579.93471875 |
transcript.pyannote[1818].speaker |
SPEAKER_24 |
transcript.pyannote[1818].start |
9583.15784375 |
transcript.pyannote[1818].end |
9588.16971875 |
transcript.pyannote[1819].speaker |
SPEAKER_25 |
transcript.pyannote[1819].start |
9587.30909375 |
transcript.pyannote[1819].end |
9588.82784375 |
transcript.pyannote[1820].speaker |
SPEAKER_24 |
transcript.pyannote[1820].start |
9588.96284375 |
transcript.pyannote[1820].end |
9595.54409375 |
transcript.pyannote[1821].speaker |
SPEAKER_25 |
transcript.pyannote[1821].start |
9595.89846875 |
transcript.pyannote[1821].end |
9595.93221875 |
transcript.pyannote[1822].speaker |
SPEAKER_11 |
transcript.pyannote[1822].start |
9595.93221875 |
transcript.pyannote[1822].end |
9596.03346875 |
transcript.pyannote[1823].speaker |
SPEAKER_25 |
transcript.pyannote[1823].start |
9596.03346875 |
transcript.pyannote[1823].end |
9596.97846875 |
transcript.pyannote[1824].speaker |
SPEAKER_11 |
transcript.pyannote[1824].start |
9596.97846875 |
transcript.pyannote[1824].end |
9597.02909375 |
transcript.pyannote[1825].speaker |
SPEAKER_25 |
transcript.pyannote[1825].start |
9597.02909375 |
transcript.pyannote[1825].end |
9597.21471875 |
transcript.pyannote[1826].speaker |
SPEAKER_11 |
transcript.pyannote[1826].start |
9597.21471875 |
transcript.pyannote[1826].end |
9602.14221875 |
transcript.pyannote[1827].speaker |
SPEAKER_25 |
transcript.pyannote[1827].start |
9597.24846875 |
transcript.pyannote[1827].end |
9597.97409375 |
transcript.pyannote[1828].speaker |
SPEAKER_24 |
transcript.pyannote[1828].start |
9597.97409375 |
transcript.pyannote[1828].end |
9598.17659375 |
transcript.pyannote[1829].speaker |
SPEAKER_25 |
transcript.pyannote[1829].start |
9598.17659375 |
transcript.pyannote[1829].end |
9598.26096875 |
transcript.pyannote[1830].speaker |
SPEAKER_11 |
transcript.pyannote[1830].start |
9602.86784375 |
transcript.pyannote[1830].end |
9604.38659375 |
transcript.pyannote[1831].speaker |
SPEAKER_11 |
transcript.pyannote[1831].start |
9604.57221875 |
transcript.pyannote[1831].end |
9607.59284375 |
transcript.pyannote[1832].speaker |
SPEAKER_11 |
transcript.pyannote[1832].start |
9607.60971875 |
transcript.pyannote[1832].end |
9607.62659375 |
transcript.pyannote[1833].speaker |
SPEAKER_25 |
transcript.pyannote[1833].start |
9607.62659375 |
transcript.pyannote[1833].end |
9607.96409375 |
transcript.pyannote[1834].speaker |
SPEAKER_11 |
transcript.pyannote[1834].start |
9607.96409375 |
transcript.pyannote[1834].end |
9608.23409375 |
transcript.pyannote[1835].speaker |
SPEAKER_25 |
transcript.pyannote[1835].start |
9608.23409375 |
transcript.pyannote[1835].end |
9614.19096875 |
transcript.pyannote[1836].speaker |
SPEAKER_25 |
transcript.pyannote[1836].start |
9614.44409375 |
transcript.pyannote[1836].end |
9618.35909375 |
transcript.pyannote[1837].speaker |
SPEAKER_21 |
transcript.pyannote[1837].start |
9618.35909375 |
transcript.pyannote[1837].end |
9618.98346875 |
transcript.pyannote[1838].speaker |
SPEAKER_25 |
transcript.pyannote[1838].start |
9618.98346875 |
transcript.pyannote[1838].end |
9626.00346875 |
transcript.pyannote[1839].speaker |
SPEAKER_21 |
transcript.pyannote[1839].start |
9619.00034375 |
transcript.pyannote[1839].end |
9619.03409375 |
transcript.pyannote[1840].speaker |
SPEAKER_25 |
transcript.pyannote[1840].start |
9627.04971875 |
transcript.pyannote[1840].end |
9627.70784375 |
transcript.pyannote[1841].speaker |
SPEAKER_11 |
transcript.pyannote[1841].start |
9628.14659375 |
transcript.pyannote[1841].end |
9631.42034375 |
transcript.pyannote[1842].speaker |
SPEAKER_11 |
transcript.pyannote[1842].start |
9631.84221875 |
transcript.pyannote[1842].end |
9633.46221875 |
transcript.pyannote[1843].speaker |
SPEAKER_25 |
transcript.pyannote[1843].start |
9633.66471875 |
transcript.pyannote[1843].end |
9637.63034375 |
transcript.pyannote[1844].speaker |
SPEAKER_11 |
transcript.pyannote[1844].start |
9637.63034375 |
transcript.pyannote[1844].end |
9637.86659375 |
transcript.pyannote[1845].speaker |
SPEAKER_11 |
transcript.pyannote[1845].start |
9638.08596875 |
transcript.pyannote[1845].end |
9642.79409375 |
transcript.pyannote[1846].speaker |
SPEAKER_25 |
transcript.pyannote[1846].start |
9638.32221875 |
transcript.pyannote[1846].end |
9638.44034375 |
transcript.pyannote[1847].speaker |
SPEAKER_25 |
transcript.pyannote[1847].start |
9640.16159375 |
transcript.pyannote[1847].end |
9640.63409375 |
transcript.pyannote[1848].speaker |
SPEAKER_25 |
transcript.pyannote[1848].start |
9642.42284375 |
transcript.pyannote[1848].end |
9644.54909375 |
transcript.pyannote[1849].speaker |
SPEAKER_11 |
transcript.pyannote[1849].start |
9644.78534375 |
transcript.pyannote[1849].end |
9651.40034375 |
transcript.pyannote[1850].speaker |
SPEAKER_25 |
transcript.pyannote[1850].start |
9650.52284375 |
transcript.pyannote[1850].end |
9655.06221875 |
transcript.pyannote[1851].speaker |
SPEAKER_25 |
transcript.pyannote[1851].start |
9655.92284375 |
transcript.pyannote[1851].end |
9662.25096875 |
transcript.pyannote[1852].speaker |
SPEAKER_25 |
transcript.pyannote[1852].start |
9662.65596875 |
transcript.pyannote[1852].end |
9666.26721875 |
transcript.pyannote[1853].speaker |
SPEAKER_25 |
transcript.pyannote[1853].start |
9666.77346875 |
transcript.pyannote[1853].end |
9673.92846875 |
transcript.pyannote[1854].speaker |
SPEAKER_25 |
transcript.pyannote[1854].start |
9674.23221875 |
transcript.pyannote[1854].end |
9675.95346875 |
transcript.pyannote[1855].speaker |
SPEAKER_25 |
transcript.pyannote[1855].start |
9676.07159375 |
transcript.pyannote[1855].end |
9680.88096875 |
transcript.pyannote[1856].speaker |
SPEAKER_25 |
transcript.pyannote[1856].start |
9681.16784375 |
transcript.pyannote[1856].end |
9682.04534375 |
transcript.pyannote[1857].speaker |
SPEAKER_25 |
transcript.pyannote[1857].start |
9682.53471875 |
transcript.pyannote[1857].end |
9684.45846875 |
transcript.pyannote[1858].speaker |
SPEAKER_11 |
transcript.pyannote[1858].start |
9685.28534375 |
transcript.pyannote[1858].end |
9689.72346875 |
transcript.pyannote[1859].speaker |
SPEAKER_21 |
transcript.pyannote[1859].start |
9689.72346875 |
transcript.pyannote[1859].end |
9689.94284375 |
transcript.pyannote[1860].speaker |
SPEAKER_11 |
transcript.pyannote[1860].start |
9689.94284375 |
transcript.pyannote[1860].end |
9690.49971875 |
transcript.pyannote[1861].speaker |
SPEAKER_11 |
transcript.pyannote[1861].start |
9690.80346875 |
transcript.pyannote[1861].end |
9699.24096875 |
transcript.pyannote[1862].speaker |
SPEAKER_25 |
transcript.pyannote[1862].start |
9697.85721875 |
transcript.pyannote[1862].end |
9699.52784375 |
transcript.pyannote[1863].speaker |
SPEAKER_25 |
transcript.pyannote[1863].start |
9699.89909375 |
transcript.pyannote[1863].end |
9703.08846875 |
transcript.pyannote[1864].speaker |
SPEAKER_11 |
transcript.pyannote[1864].start |
9703.74659375 |
transcript.pyannote[1864].end |
9710.19284375 |
transcript.pyannote[1865].speaker |
SPEAKER_11 |
transcript.pyannote[1865].start |
9710.51346875 |
transcript.pyannote[1865].end |
9712.69034375 |
transcript.pyannote[1866].speaker |
SPEAKER_11 |
transcript.pyannote[1866].start |
9712.97721875 |
transcript.pyannote[1866].end |
9718.27596875 |
transcript.pyannote[1867].speaker |
SPEAKER_25 |
transcript.pyannote[1867].start |
9718.27596875 |
transcript.pyannote[1867].end |
9725.51534375 |
transcript.pyannote[1868].speaker |
SPEAKER_11 |
transcript.pyannote[1868].start |
9726.02159375 |
transcript.pyannote[1868].end |
9727.89471875 |
transcript.pyannote[1869].speaker |
SPEAKER_25 |
transcript.pyannote[1869].start |
9726.71346875 |
transcript.pyannote[1869].end |
9728.55284375 |
transcript.pyannote[1870].speaker |
SPEAKER_11 |
transcript.pyannote[1870].start |
9727.99596875 |
transcript.pyannote[1870].end |
9729.46409375 |
transcript.pyannote[1871].speaker |
SPEAKER_11 |
transcript.pyannote[1871].start |
9730.07159375 |
transcript.pyannote[1871].end |
9732.18096875 |
transcript.pyannote[1872].speaker |
SPEAKER_25 |
transcript.pyannote[1872].start |
9732.18096875 |
transcript.pyannote[1872].end |
9738.98159375 |
transcript.pyannote[1873].speaker |
SPEAKER_11 |
transcript.pyannote[1873].start |
9732.19784375 |
transcript.pyannote[1873].end |
9733.69971875 |
transcript.pyannote[1874].speaker |
SPEAKER_11 |
transcript.pyannote[1874].start |
9736.56846875 |
transcript.pyannote[1874].end |
9737.91846875 |
transcript.pyannote[1875].speaker |
SPEAKER_11 |
transcript.pyannote[1875].start |
9738.67784375 |
transcript.pyannote[1875].end |
9743.99346875 |
transcript.pyannote[1876].speaker |
SPEAKER_25 |
transcript.pyannote[1876].start |
9740.34846875 |
transcript.pyannote[1876].end |
9740.78721875 |
transcript.pyannote[1877].speaker |
SPEAKER_11 |
transcript.pyannote[1877].start |
9744.28034375 |
transcript.pyannote[1877].end |
9750.72659375 |
transcript.pyannote[1878].speaker |
SPEAKER_25 |
transcript.pyannote[1878].start |
9747.11534375 |
transcript.pyannote[1878].end |
9747.38534375 |
transcript.pyannote[1879].speaker |
SPEAKER_25 |
transcript.pyannote[1879].start |
9749.56221875 |
transcript.pyannote[1879].end |
9750.00096875 |
transcript.pyannote[1880].speaker |
SPEAKER_25 |
transcript.pyannote[1880].start |
9750.49034375 |
transcript.pyannote[1880].end |
9750.69284375 |
transcript.pyannote[1881].speaker |
SPEAKER_25 |
transcript.pyannote[1881].start |
9750.72659375 |
transcript.pyannote[1881].end |
9750.81096875 |
transcript.pyannote[1882].speaker |
SPEAKER_11 |
transcript.pyannote[1882].start |
9750.81096875 |
transcript.pyannote[1882].end |
9750.86159375 |
transcript.pyannote[1883].speaker |
SPEAKER_25 |
transcript.pyannote[1883].start |
9750.86159375 |
transcript.pyannote[1883].end |
9750.87846875 |
transcript.pyannote[1884].speaker |
SPEAKER_11 |
transcript.pyannote[1884].start |
9750.87846875 |
transcript.pyannote[1884].end |
9750.89534375 |
transcript.pyannote[1885].speaker |
SPEAKER_25 |
transcript.pyannote[1885].start |
9750.89534375 |
transcript.pyannote[1885].end |
9750.97971875 |
transcript.pyannote[1886].speaker |
SPEAKER_11 |
transcript.pyannote[1886].start |
9750.97971875 |
transcript.pyannote[1886].end |
9751.04721875 |
transcript.pyannote[1887].speaker |
SPEAKER_25 |
transcript.pyannote[1887].start |
9751.04721875 |
transcript.pyannote[1887].end |
9751.51971875 |
transcript.pyannote[1888].speaker |
SPEAKER_11 |
transcript.pyannote[1888].start |
9751.51971875 |
transcript.pyannote[1888].end |
9751.73909375 |
transcript.pyannote[1889].speaker |
SPEAKER_25 |
transcript.pyannote[1889].start |
9751.73909375 |
transcript.pyannote[1889].end |
9752.68409375 |
transcript.pyannote[1890].speaker |
SPEAKER_25 |
transcript.pyannote[1890].start |
9753.57846875 |
transcript.pyannote[1890].end |
9758.23596875 |
transcript.pyannote[1891].speaker |
SPEAKER_11 |
transcript.pyannote[1891].start |
9759.97409375 |
transcript.pyannote[1891].end |
9762.08346875 |
transcript.pyannote[1892].speaker |
SPEAKER_25 |
transcript.pyannote[1892].start |
9760.98659375 |
transcript.pyannote[1892].end |
9764.00721875 |
transcript.pyannote[1893].speaker |
SPEAKER_11 |
transcript.pyannote[1893].start |
9763.90596875 |
transcript.pyannote[1893].end |
9764.29409375 |
transcript.pyannote[1894].speaker |
SPEAKER_25 |
transcript.pyannote[1894].start |
9764.29409375 |
transcript.pyannote[1894].end |
9771.36471875 |
transcript.pyannote[1895].speaker |
SPEAKER_11 |
transcript.pyannote[1895].start |
9769.37346875 |
transcript.pyannote[1895].end |
9769.67721875 |
transcript.pyannote[1896].speaker |
SPEAKER_11 |
transcript.pyannote[1896].start |
9770.90909375 |
transcript.pyannote[1896].end |
9772.61346875 |
transcript.pyannote[1897].speaker |
SPEAKER_25 |
transcript.pyannote[1897].start |
9772.46159375 |
transcript.pyannote[1897].end |
9779.78534375 |
transcript.pyannote[1898].speaker |
SPEAKER_25 |
transcript.pyannote[1898].start |
9780.00471875 |
transcript.pyannote[1898].end |
9787.34534375 |
transcript.pyannote[1899].speaker |
SPEAKER_11 |
transcript.pyannote[1899].start |
9787.41284375 |
transcript.pyannote[1899].end |
9788.35784375 |
transcript.pyannote[1900].speaker |
SPEAKER_25 |
transcript.pyannote[1900].start |
9788.35784375 |
transcript.pyannote[1900].end |
9788.50971875 |
transcript.pyannote[1901].speaker |
SPEAKER_11 |
transcript.pyannote[1901].start |
9788.50971875 |
transcript.pyannote[1901].end |
9794.11221875 |
transcript.pyannote[1902].speaker |
SPEAKER_25 |
transcript.pyannote[1902].start |
9790.12971875 |
transcript.pyannote[1902].end |
9790.51784375 |
transcript.pyannote[1903].speaker |
SPEAKER_25 |
transcript.pyannote[1903].start |
9792.74534375 |
transcript.pyannote[1903].end |
9800.99721875 |
transcript.pyannote[1904].speaker |
SPEAKER_11 |
transcript.pyannote[1904].start |
9798.83721875 |
transcript.pyannote[1904].end |
9800.50784375 |
transcript.pyannote[1905].speaker |
SPEAKER_25 |
transcript.pyannote[1905].start |
9801.53721875 |
transcript.pyannote[1905].end |
9817.12971875 |
transcript.pyannote[1906].speaker |
SPEAKER_21 |
transcript.pyannote[1906].start |
9805.28346875 |
transcript.pyannote[1906].end |
9805.35096875 |
transcript.pyannote[1907].speaker |
SPEAKER_11 |
transcript.pyannote[1907].start |
9805.35096875 |
transcript.pyannote[1907].end |
9805.50284375 |
transcript.pyannote[1908].speaker |
SPEAKER_21 |
transcript.pyannote[1908].start |
9805.50284375 |
transcript.pyannote[1908].end |
9805.55346875 |
transcript.pyannote[1909].speaker |
SPEAKER_00 |
transcript.pyannote[1909].start |
9805.55346875 |
transcript.pyannote[1909].end |
9805.57034375 |
transcript.pyannote[1910].speaker |
SPEAKER_25 |
transcript.pyannote[1910].start |
9817.56846875 |
transcript.pyannote[1910].end |
9818.96909375 |
transcript.pyannote[1911].speaker |
SPEAKER_11 |
transcript.pyannote[1911].start |
9818.96909375 |
transcript.pyannote[1911].end |
9819.03659375 |
transcript.pyannote[1912].speaker |
SPEAKER_25 |
transcript.pyannote[1912].start |
9819.03659375 |
transcript.pyannote[1912].end |
9819.96471875 |
transcript.pyannote[1913].speaker |
SPEAKER_11 |
transcript.pyannote[1913].start |
9819.96471875 |
transcript.pyannote[1913].end |
9820.03221875 |
transcript.pyannote[1914].speaker |
SPEAKER_25 |
transcript.pyannote[1914].start |
9820.03221875 |
transcript.pyannote[1914].end |
9820.97721875 |
transcript.pyannote[1915].speaker |
SPEAKER_11 |
transcript.pyannote[1915].start |
9820.97721875 |
transcript.pyannote[1915].end |
9821.02784375 |
transcript.pyannote[1916].speaker |
SPEAKER_25 |
transcript.pyannote[1916].start |
9821.02784375 |
transcript.pyannote[1916].end |
9821.04471875 |
transcript.pyannote[1917].speaker |
SPEAKER_11 |
transcript.pyannote[1917].start |
9821.04471875 |
transcript.pyannote[1917].end |
9821.26409375 |
transcript.pyannote[1918].speaker |
SPEAKER_25 |
transcript.pyannote[1918].start |
9821.26409375 |
transcript.pyannote[1918].end |
9821.97284375 |
transcript.pyannote[1919].speaker |
SPEAKER_11 |
transcript.pyannote[1919].start |
9821.97284375 |
transcript.pyannote[1919].end |
9822.02346875 |
transcript.pyannote[1920].speaker |
SPEAKER_25 |
transcript.pyannote[1920].start |
9822.02346875 |
transcript.pyannote[1920].end |
9822.47909375 |
transcript.pyannote[1921].speaker |
SPEAKER_11 |
transcript.pyannote[1921].start |
9822.47909375 |
transcript.pyannote[1921].end |
9824.85846875 |
transcript.pyannote[1922].speaker |
SPEAKER_25 |
transcript.pyannote[1922].start |
9824.09909375 |
transcript.pyannote[1922].end |
9838.62846875 |
transcript.pyannote[1923].speaker |
SPEAKER_11 |
transcript.pyannote[1923].start |
9828.95909375 |
transcript.pyannote[1923].end |
9830.71409375 |
transcript.pyannote[1924].speaker |
SPEAKER_11 |
transcript.pyannote[1924].start |
9830.83221875 |
transcript.pyannote[1924].end |
9831.18659375 |
transcript.pyannote[1925].speaker |
SPEAKER_11 |
transcript.pyannote[1925].start |
9831.86159375 |
transcript.pyannote[1925].end |
9833.34659375 |
transcript.pyannote[1926].speaker |
SPEAKER_11 |
transcript.pyannote[1926].start |
9833.46471875 |
transcript.pyannote[1926].end |
9833.98784375 |
transcript.pyannote[1927].speaker |
SPEAKER_25 |
transcript.pyannote[1927].start |
9838.93221875 |
transcript.pyannote[1927].end |
9845.34471875 |
transcript.pyannote[1928].speaker |
SPEAKER_25 |
transcript.pyannote[1928].start |
9846.00284375 |
transcript.pyannote[1928].end |
9851.03159375 |
transcript.pyannote[1929].speaker |
SPEAKER_11 |
transcript.pyannote[1929].start |
9847.36971875 |
transcript.pyannote[1929].end |
9847.38659375 |
transcript.pyannote[1930].speaker |
SPEAKER_21 |
transcript.pyannote[1930].start |
9847.38659375 |
transcript.pyannote[1930].end |
9847.94346875 |
transcript.pyannote[1931].speaker |
SPEAKER_11 |
transcript.pyannote[1931].start |
9847.94346875 |
transcript.pyannote[1931].end |
9847.96034375 |
transcript.pyannote[1932].speaker |
SPEAKER_21 |
transcript.pyannote[1932].start |
9847.96034375 |
transcript.pyannote[1932].end |
9847.97721875 |
transcript.pyannote[1933].speaker |
SPEAKER_11 |
transcript.pyannote[1933].start |
9850.86284375 |
transcript.pyannote[1933].end |
9851.31846875 |
transcript.pyannote[1934].speaker |
SPEAKER_25 |
transcript.pyannote[1934].start |
9851.25096875 |
transcript.pyannote[1934].end |
9853.22534375 |
transcript.pyannote[1935].speaker |
SPEAKER_11 |
transcript.pyannote[1935].start |
9853.22534375 |
transcript.pyannote[1935].end |
9853.59659375 |
transcript.pyannote[1936].speaker |
SPEAKER_25 |
transcript.pyannote[1936].start |
9853.59659375 |
transcript.pyannote[1936].end |
9854.27159375 |
transcript.pyannote[1937].speaker |
SPEAKER_11 |
transcript.pyannote[1937].start |
9853.86659375 |
transcript.pyannote[1937].end |
9858.01784375 |
transcript.pyannote[1938].speaker |
SPEAKER_25 |
transcript.pyannote[1938].start |
9855.90846875 |
transcript.pyannote[1938].end |
9856.22909375 |
transcript.pyannote[1939].speaker |
SPEAKER_25 |
transcript.pyannote[1939].start |
9858.65909375 |
transcript.pyannote[1939].end |
9861.20721875 |
transcript.pyannote[1940].speaker |
SPEAKER_25 |
transcript.pyannote[1940].start |
9862.16909375 |
transcript.pyannote[1940].end |
9873.18846875 |
transcript.pyannote[1941].speaker |
SPEAKER_11 |
transcript.pyannote[1941].start |
9867.56909375 |
transcript.pyannote[1941].end |
9868.04159375 |
transcript.pyannote[1942].speaker |
SPEAKER_11 |
transcript.pyannote[1942].start |
9874.21784375 |
transcript.pyannote[1942].end |
9874.25159375 |
transcript.pyannote[1943].speaker |
SPEAKER_11 |
transcript.pyannote[1943].start |
9874.84221875 |
transcript.pyannote[1943].end |
9875.98971875 |
transcript.pyannote[1944].speaker |
SPEAKER_25 |
transcript.pyannote[1944].start |
9875.77034375 |
transcript.pyannote[1944].end |
9882.68909375 |
transcript.pyannote[1945].speaker |
SPEAKER_11 |
transcript.pyannote[1945].start |
9879.21284375 |
transcript.pyannote[1945].end |
9879.55034375 |
transcript.pyannote[1946].speaker |
SPEAKER_25 |
transcript.pyannote[1946].start |
9883.00971875 |
transcript.pyannote[1946].end |
9904.00221875 |
transcript.pyannote[1947].speaker |
SPEAKER_25 |
transcript.pyannote[1947].start |
9904.77846875 |
transcript.pyannote[1947].end |
9905.33534375 |
transcript.pyannote[1948].speaker |
SPEAKER_25 |
transcript.pyannote[1948].start |
9906.04409375 |
transcript.pyannote[1948].end |
9909.73971875 |
transcript.pyannote[1949].speaker |
SPEAKER_25 |
transcript.pyannote[1949].start |
9910.11096875 |
transcript.pyannote[1949].end |
9911.81534375 |
transcript.pyannote[1950].speaker |
SPEAKER_25 |
transcript.pyannote[1950].start |
9912.06846875 |
transcript.pyannote[1950].end |
9917.35034375 |
transcript.pyannote[1951].speaker |
SPEAKER_25 |
transcript.pyannote[1951].start |
9917.36721875 |
transcript.pyannote[1951].end |
9919.54409375 |
transcript.pyannote[1952].speaker |
SPEAKER_25 |
transcript.pyannote[1952].start |
9919.93221875 |
transcript.pyannote[1952].end |
9922.71659375 |
transcript.pyannote[1953].speaker |
SPEAKER_00 |
transcript.pyannote[1953].start |
9920.86034375 |
transcript.pyannote[1953].end |
9920.94471875 |
transcript.pyannote[1954].speaker |
SPEAKER_11 |
transcript.pyannote[1954].start |
9920.94471875 |
transcript.pyannote[1954].end |
9921.26534375 |
transcript.pyannote[1955].speaker |
SPEAKER_25 |
transcript.pyannote[1955].start |
9923.13846875 |
transcript.pyannote[1955].end |
9923.76284375 |
transcript.pyannote[1956].speaker |
SPEAKER_25 |
transcript.pyannote[1956].start |
9924.10034375 |
transcript.pyannote[1956].end |
9926.46284375 |
transcript.pyannote[1957].speaker |
SPEAKER_11 |
transcript.pyannote[1957].start |
9927.66096875 |
transcript.pyannote[1957].end |
9930.61409375 |
transcript.pyannote[1958].speaker |
SPEAKER_25 |
transcript.pyannote[1958].start |
9930.00659375 |
transcript.pyannote[1958].end |
9935.45721875 |
transcript.pyannote[1959].speaker |
SPEAKER_11 |
transcript.pyannote[1959].start |
9932.75721875 |
transcript.pyannote[1959].end |
9933.26346875 |
transcript.pyannote[1960].speaker |
SPEAKER_25 |
transcript.pyannote[1960].start |
9936.46971875 |
transcript.pyannote[1960].end |
9953.00721875 |
transcript.pyannote[1961].speaker |
SPEAKER_25 |
transcript.pyannote[1961].start |
9953.80034375 |
transcript.pyannote[1961].end |
9957.64784375 |
transcript.pyannote[1962].speaker |
SPEAKER_25 |
transcript.pyannote[1962].start |
9957.96846875 |
transcript.pyannote[1962].end |
9961.19159375 |
transcript.pyannote[1963].speaker |
SPEAKER_25 |
transcript.pyannote[1963].start |
9961.69784375 |
transcript.pyannote[1963].end |
9965.05596875 |
transcript.pyannote[1964].speaker |
SPEAKER_25 |
transcript.pyannote[1964].start |
9965.54534375 |
transcript.pyannote[1964].end |
9966.05159375 |
transcript.pyannote[1965].speaker |
SPEAKER_25 |
transcript.pyannote[1965].start |
9966.81096875 |
transcript.pyannote[1965].end |
9969.96659375 |
transcript.pyannote[1966].speaker |
SPEAKER_11 |
transcript.pyannote[1966].start |
9968.49846875 |
transcript.pyannote[1966].end |
9971.56971875 |
transcript.pyannote[1967].speaker |
SPEAKER_25 |
transcript.pyannote[1967].start |
9971.06346875 |
transcript.pyannote[1967].end |
9971.36721875 |
transcript.pyannote[1968].speaker |
SPEAKER_11 |
transcript.pyannote[1968].start |
9971.85659375 |
transcript.pyannote[1968].end |
9974.48909375 |
transcript.pyannote[1969].speaker |
SPEAKER_25 |
transcript.pyannote[1969].start |
9974.57346875 |
transcript.pyannote[1969].end |
9974.96159375 |
transcript.pyannote[1970].speaker |
SPEAKER_25 |
transcript.pyannote[1970].start |
9975.48471875 |
transcript.pyannote[1970].end |
9977.20596875 |
transcript.pyannote[1971].speaker |
SPEAKER_25 |
transcript.pyannote[1971].start |
9977.98221875 |
transcript.pyannote[1971].end |
9978.38721875 |
transcript.pyannote[1972].speaker |
SPEAKER_25 |
transcript.pyannote[1972].start |
9979.34909375 |
transcript.pyannote[1972].end |
9980.81721875 |
transcript.pyannote[1973].speaker |
SPEAKER_25 |
transcript.pyannote[1973].start |
9981.15471875 |
transcript.pyannote[1973].end |
9982.43721875 |
transcript.pyannote[1974].speaker |
SPEAKER_25 |
transcript.pyannote[1974].start |
9982.69034375 |
transcript.pyannote[1974].end |
9982.90971875 |
transcript.pyannote[1975].speaker |
SPEAKER_25 |
transcript.pyannote[1975].start |
9983.21346875 |
transcript.pyannote[1975].end |
9987.26346875 |
transcript.pyannote[1976].speaker |
SPEAKER_25 |
transcript.pyannote[1976].start |
9987.63471875 |
transcript.pyannote[1976].end |
9989.59221875 |
transcript.pyannote[1977].speaker |
SPEAKER_25 |
transcript.pyannote[1977].start |
9990.68909375 |
transcript.pyannote[1977].end |
9992.25846875 |
transcript.pyannote[1978].speaker |
SPEAKER_11 |
transcript.pyannote[1978].start |
9990.75659375 |
transcript.pyannote[1978].end |
9991.16159375 |
transcript.pyannote[1979].speaker |
SPEAKER_11 |
transcript.pyannote[1979].start |
9992.46096875 |
transcript.pyannote[1979].end |
10014.88784375 |
transcript.pyannote[1980].speaker |
SPEAKER_21 |
transcript.pyannote[1980].start |
10000.27409375 |
transcript.pyannote[1980].end |
10000.72971875 |
transcript.pyannote[1981].speaker |
SPEAKER_21 |
transcript.pyannote[1981].start |
10002.38346875 |
transcript.pyannote[1981].end |
10002.95721875 |
transcript.pyannote[1982].speaker |
SPEAKER_21 |
transcript.pyannote[1982].start |
10004.81346875 |
transcript.pyannote[1982].end |
10005.11721875 |
transcript.pyannote[1983].speaker |
SPEAKER_11 |
transcript.pyannote[1983].start |
10015.76534375 |
transcript.pyannote[1983].end |
10020.32159375 |
transcript.pyannote[1984].speaker |
SPEAKER_11 |
transcript.pyannote[1984].start |
10020.74346875 |
transcript.pyannote[1984].end |
10021.04721875 |
transcript.pyannote[1985].speaker |
SPEAKER_11 |
transcript.pyannote[1985].start |
10022.90346875 |
transcript.pyannote[1985].end |
10024.42221875 |
transcript.pyannote[1986].speaker |
SPEAKER_25 |
transcript.pyannote[1986].start |
10024.42221875 |
transcript.pyannote[1986].end |
10024.47284375 |
transcript.pyannote[1987].speaker |
SPEAKER_25 |
transcript.pyannote[1987].start |
10025.55284375 |
transcript.pyannote[1987].end |
10035.39096875 |
transcript.pyannote[1988].speaker |
SPEAKER_25 |
transcript.pyannote[1988].start |
10035.88034375 |
transcript.pyannote[1988].end |
10048.51971875 |
transcript.pyannote[1989].speaker |
SPEAKER_11 |
transcript.pyannote[1989].start |
10048.16534375 |
transcript.pyannote[1989].end |
10053.21096875 |
transcript.pyannote[1990].speaker |
SPEAKER_11 |
transcript.pyannote[1990].start |
10053.24471875 |
transcript.pyannote[1990].end |
10057.44659375 |
transcript.pyannote[1991].speaker |
SPEAKER_25 |
transcript.pyannote[1991].start |
10053.34596875 |
transcript.pyannote[1991].end |
10055.40471875 |
transcript.pyannote[1992].speaker |
SPEAKER_25 |
transcript.pyannote[1992].start |
10056.43409375 |
transcript.pyannote[1992].end |
10058.54346875 |
transcript.pyannote[1993].speaker |
SPEAKER_11 |
transcript.pyannote[1993].start |
10058.49284375 |
transcript.pyannote[1993].end |
10060.24784375 |
transcript.pyannote[1994].speaker |
SPEAKER_11 |
transcript.pyannote[1994].start |
10060.61909375 |
transcript.pyannote[1994].end |
10065.14159375 |
transcript.pyannote[1995].speaker |
SPEAKER_25 |
transcript.pyannote[1995].start |
10061.66534375 |
transcript.pyannote[1995].end |
10067.47034375 |
transcript.pyannote[1996].speaker |
SPEAKER_11 |
transcript.pyannote[1996].start |
10065.88409375 |
transcript.pyannote[1996].end |
10066.96409375 |
transcript.pyannote[1997].speaker |
SPEAKER_25 |
transcript.pyannote[1997].start |
10067.82471875 |
transcript.pyannote[1997].end |
10071.41909375 |
transcript.pyannote[1998].speaker |
SPEAKER_21 |
transcript.pyannote[1998].start |
10071.41909375 |
transcript.pyannote[1998].end |
10072.34721875 |
transcript.pyannote[1999].speaker |
SPEAKER_25 |
transcript.pyannote[1999].start |
10071.43596875 |
transcript.pyannote[1999].end |
10071.45284375 |
transcript.pyannote[2000].speaker |
SPEAKER_25 |
transcript.pyannote[2000].start |
10071.55409375 |
transcript.pyannote[2000].end |
10081.86471875 |
transcript.pyannote[2001].speaker |
SPEAKER_21 |
transcript.pyannote[2001].start |
10074.82784375 |
transcript.pyannote[2001].end |
10076.51534375 |
transcript.pyannote[2002].speaker |
SPEAKER_25 |
transcript.pyannote[2002].start |
10082.15159375 |
transcript.pyannote[2002].end |
10083.51846875 |
transcript.pyannote[2003].speaker |
SPEAKER_11 |
transcript.pyannote[2003].start |
10083.72096875 |
transcript.pyannote[2003].end |
10084.09221875 |
transcript.pyannote[2004].speaker |
SPEAKER_25 |
transcript.pyannote[2004].start |
10084.09221875 |
transcript.pyannote[2004].end |
10084.88534375 |
transcript.pyannote[2005].speaker |
SPEAKER_11 |
transcript.pyannote[2005].start |
10084.19346875 |
transcript.pyannote[2005].end |
10086.64034375 |
transcript.pyannote[2006].speaker |
SPEAKER_25 |
transcript.pyannote[2006].start |
10085.91471875 |
transcript.pyannote[2006].end |
10086.01596875 |
transcript.pyannote[2007].speaker |
SPEAKER_25 |
transcript.pyannote[2007].start |
10086.38721875 |
transcript.pyannote[2007].end |
10087.14659375 |
transcript.pyannote[2008].speaker |
SPEAKER_06 |
transcript.pyannote[2008].start |
10088.20971875 |
transcript.pyannote[2008].end |
10090.65659375 |
transcript.pyannote[2009].speaker |
SPEAKER_06 |
transcript.pyannote[2009].start |
10091.01096875 |
transcript.pyannote[2009].end |
10097.55846875 |
transcript.pyannote[2010].speaker |
SPEAKER_06 |
transcript.pyannote[2010].start |
10100.74784375 |
transcript.pyannote[2010].end |
10105.84409375 |
transcript.pyannote[2011].speaker |
SPEAKER_06 |
transcript.pyannote[2011].start |
10105.94534375 |
transcript.pyannote[2011].end |
10107.29534375 |
transcript.pyannote[2012].speaker |
SPEAKER_19 |
transcript.pyannote[2012].start |
10112.79659375 |
transcript.pyannote[2012].end |
10113.65721875 |
transcript.pyannote[2013].speaker |
SPEAKER_19 |
transcript.pyannote[2013].start |
10113.97784375 |
transcript.pyannote[2013].end |
10115.09159375 |
transcript.pyannote[2014].speaker |
SPEAKER_06 |
transcript.pyannote[2014].start |
10116.54284375 |
transcript.pyannote[2014].end |
10117.36971875 |
transcript.pyannote[2015].speaker |
SPEAKER_19 |
transcript.pyannote[2015].start |
10121.21721875 |
transcript.pyannote[2015].end |
10121.80784375 |
transcript.pyannote[2016].speaker |
SPEAKER_19 |
transcript.pyannote[2016].start |
10121.97659375 |
transcript.pyannote[2016].end |
10122.66846875 |
transcript.pyannote[2017].speaker |
SPEAKER_19 |
transcript.pyannote[2017].start |
10123.61346875 |
transcript.pyannote[2017].end |
10125.35159375 |
transcript.pyannote[2018].speaker |
SPEAKER_19 |
transcript.pyannote[2018].start |
10126.49909375 |
transcript.pyannote[2018].end |
10136.64096875 |
transcript.pyannote[2019].speaker |
SPEAKER_21 |
transcript.pyannote[2019].start |
10133.56971875 |
transcript.pyannote[2019].end |
10133.62034375 |
transcript.pyannote[2020].speaker |
SPEAKER_21 |
transcript.pyannote[2020].start |
10133.68784375 |
transcript.pyannote[2020].end |
10133.70471875 |
transcript.pyannote[2021].speaker |
SPEAKER_21 |
transcript.pyannote[2021].start |
10136.64096875 |
transcript.pyannote[2021].end |
10136.80971875 |
transcript.pyannote[2022].speaker |
SPEAKER_19 |
transcript.pyannote[2022].start |
10136.80971875 |
transcript.pyannote[2022].end |
10143.91409375 |
transcript.pyannote[2023].speaker |
SPEAKER_19 |
transcript.pyannote[2023].start |
10145.12909375 |
transcript.pyannote[2023].end |
10147.28909375 |
transcript.pyannote[2024].speaker |
SPEAKER_19 |
transcript.pyannote[2024].start |
10147.86284375 |
transcript.pyannote[2024].end |
10148.47034375 |
transcript.pyannote[2025].speaker |
SPEAKER_19 |
transcript.pyannote[2025].start |
10149.24659375 |
transcript.pyannote[2025].end |
10150.90034375 |
transcript.pyannote[2026].speaker |
SPEAKER_19 |
transcript.pyannote[2026].start |
10152.18284375 |
transcript.pyannote[2026].end |
10153.38096875 |
transcript.pyannote[2027].speaker |
SPEAKER_19 |
transcript.pyannote[2027].start |
10153.78596875 |
transcript.pyannote[2027].end |
10156.19909375 |
transcript.pyannote[2028].speaker |
SPEAKER_19 |
transcript.pyannote[2028].start |
10156.58721875 |
transcript.pyannote[2028].end |
10161.34596875 |
transcript.pyannote[2029].speaker |
SPEAKER_21 |
transcript.pyannote[2029].start |
10161.46409375 |
transcript.pyannote[2029].end |
10161.81846875 |
transcript.pyannote[2030].speaker |
SPEAKER_19 |
transcript.pyannote[2030].start |
10162.39221875 |
transcript.pyannote[2030].end |
10162.99971875 |
transcript.pyannote[2031].speaker |
SPEAKER_19 |
transcript.pyannote[2031].start |
10163.40471875 |
transcript.pyannote[2031].end |
10163.96159375 |
transcript.pyannote[2032].speaker |
SPEAKER_19 |
transcript.pyannote[2032].start |
10164.58596875 |
transcript.pyannote[2032].end |
10165.34534375 |
transcript.pyannote[2033].speaker |
SPEAKER_19 |
transcript.pyannote[2033].start |
10166.37471875 |
transcript.pyannote[2033].end |
10167.92721875 |
transcript.pyannote[2034].speaker |
SPEAKER_19 |
transcript.pyannote[2034].start |
10168.36596875 |
transcript.pyannote[2034].end |
10171.26846875 |
transcript.pyannote[2035].speaker |
SPEAKER_19 |
transcript.pyannote[2035].start |
10172.01096875 |
transcript.pyannote[2035].end |
10172.63534375 |
transcript.pyannote[2036].speaker |
SPEAKER_21 |
transcript.pyannote[2036].start |
10172.63534375 |
transcript.pyannote[2036].end |
10172.75346875 |
transcript.pyannote[2037].speaker |
SPEAKER_19 |
transcript.pyannote[2037].start |
10172.75346875 |
transcript.pyannote[2037].end |
10174.87971875 |
transcript.pyannote[2038].speaker |
SPEAKER_21 |
transcript.pyannote[2038].start |
10172.78721875 |
transcript.pyannote[2038].end |
10172.85471875 |
transcript.pyannote[2039].speaker |
SPEAKER_19 |
transcript.pyannote[2039].start |
10175.35221875 |
transcript.pyannote[2039].end |
10176.46596875 |
transcript.pyannote[2040].speaker |
SPEAKER_19 |
transcript.pyannote[2040].start |
10177.34346875 |
transcript.pyannote[2040].end |
10178.89596875 |
transcript.pyannote[2041].speaker |
SPEAKER_19 |
transcript.pyannote[2041].start |
10181.57909375 |
transcript.pyannote[2041].end |
10183.43534375 |
transcript.pyannote[2042].speaker |
SPEAKER_19 |
transcript.pyannote[2042].start |
10183.78971875 |
transcript.pyannote[2042].end |
10191.58596875 |
transcript.pyannote[2043].speaker |
SPEAKER_19 |
transcript.pyannote[2043].start |
10193.61096875 |
transcript.pyannote[2043].end |
10194.11721875 |
transcript.pyannote[2044].speaker |
SPEAKER_11 |
transcript.pyannote[2044].start |
10194.50534375 |
transcript.pyannote[2044].end |
10194.58971875 |
transcript.pyannote[2045].speaker |
SPEAKER_19 |
transcript.pyannote[2045].start |
10194.58971875 |
transcript.pyannote[2045].end |
10195.33221875 |
transcript.pyannote[2046].speaker |
SPEAKER_11 |
transcript.pyannote[2046].start |
10196.32784375 |
transcript.pyannote[2046].end |
10196.54721875 |
transcript.pyannote[2047].speaker |
SPEAKER_11 |
transcript.pyannote[2047].start |
10196.91846875 |
transcript.pyannote[2047].end |
10197.84659375 |
transcript.pyannote[2048].speaker |
SPEAKER_11 |
transcript.pyannote[2048].start |
10198.38659375 |
transcript.pyannote[2048].end |
10198.42034375 |
transcript.pyannote[2049].speaker |
SPEAKER_19 |
transcript.pyannote[2049].start |
10198.42034375 |
transcript.pyannote[2049].end |
10199.02784375 |
transcript.pyannote[2050].speaker |
SPEAKER_11 |
transcript.pyannote[2050].start |
10199.02784375 |
transcript.pyannote[2050].end |
10199.46659375 |
transcript.pyannote[2051].speaker |
SPEAKER_19 |
transcript.pyannote[2051].start |
10199.97284375 |
transcript.pyannote[2051].end |
10202.26784375 |
transcript.pyannote[2052].speaker |
SPEAKER_19 |
transcript.pyannote[2052].start |
10202.99346875 |
transcript.pyannote[2052].end |
10203.65159375 |
transcript.pyannote[2053].speaker |
SPEAKER_19 |
transcript.pyannote[2053].start |
10204.57971875 |
transcript.pyannote[2053].end |
10205.05221875 |
transcript.pyannote[2054].speaker |
SPEAKER_19 |
transcript.pyannote[2054].start |
10205.54159375 |
transcript.pyannote[2054].end |
10206.85784375 |
transcript.pyannote[2055].speaker |
SPEAKER_19 |
transcript.pyannote[2055].start |
10207.19534375 |
transcript.pyannote[2055].end |
10208.47784375 |
transcript.pyannote[2056].speaker |
SPEAKER_11 |
transcript.pyannote[2056].start |
10210.89096875 |
transcript.pyannote[2056].end |
10211.16096875 |
transcript.pyannote[2057].speaker |
SPEAKER_19 |
transcript.pyannote[2057].start |
10211.17784375 |
transcript.pyannote[2057].end |
10212.79784375 |
transcript.pyannote[2058].speaker |
SPEAKER_19 |
transcript.pyannote[2058].start |
10213.42221875 |
transcript.pyannote[2058].end |
10216.61159375 |
transcript.pyannote[2059].speaker |
SPEAKER_11 |
transcript.pyannote[2059].start |
10216.52721875 |
transcript.pyannote[2059].end |
10216.84784375 |
transcript.pyannote[2060].speaker |
SPEAKER_21 |
transcript.pyannote[2060].start |
10216.84784375 |
transcript.pyannote[2060].end |
10216.88159375 |
transcript.pyannote[2061].speaker |
SPEAKER_19 |
transcript.pyannote[2061].start |
10217.11784375 |
transcript.pyannote[2061].end |
10217.72534375 |
transcript.pyannote[2062].speaker |
SPEAKER_19 |
transcript.pyannote[2062].start |
10217.97846875 |
transcript.pyannote[2062].end |
10221.35346875 |
transcript.pyannote[2063].speaker |
SPEAKER_11 |
transcript.pyannote[2063].start |
10221.94409375 |
transcript.pyannote[2063].end |
10222.24784375 |
transcript.pyannote[2064].speaker |
SPEAKER_11 |
transcript.pyannote[2064].start |
10222.26471875 |
transcript.pyannote[2064].end |
10222.28159375 |
transcript.pyannote[2065].speaker |
SPEAKER_19 |
transcript.pyannote[2065].start |
10222.28159375 |
transcript.pyannote[2065].end |
10224.37409375 |
transcript.pyannote[2066].speaker |
SPEAKER_11 |
transcript.pyannote[2066].start |
10222.61909375 |
transcript.pyannote[2066].end |
10223.05784375 |
transcript.pyannote[2067].speaker |
SPEAKER_11 |
transcript.pyannote[2067].start |
10224.08721875 |
transcript.pyannote[2067].end |
10224.45846875 |
transcript.pyannote[2068].speaker |
SPEAKER_11 |
transcript.pyannote[2068].start |
10224.59346875 |
transcript.pyannote[2068].end |
10228.98096875 |
transcript.pyannote[2069].speaker |
SPEAKER_11 |
transcript.pyannote[2069].start |
10229.36909375 |
transcript.pyannote[2069].end |
10247.47596875 |
transcript.pyannote[2070].speaker |
SPEAKER_11 |
transcript.pyannote[2070].start |
10248.06659375 |
transcript.pyannote[2070].end |
10249.63596875 |
transcript.pyannote[2071].speaker |
SPEAKER_11 |
transcript.pyannote[2071].start |
10249.88909375 |
transcript.pyannote[2071].end |
10250.24346875 |
transcript.pyannote[2072].speaker |
SPEAKER_11 |
transcript.pyannote[2072].start |
10250.58096875 |
transcript.pyannote[2072].end |
10253.17971875 |
transcript.pyannote[2073].speaker |
SPEAKER_11 |
transcript.pyannote[2073].start |
10253.63534375 |
transcript.pyannote[2073].end |
10256.53784375 |
transcript.pyannote[2074].speaker |
SPEAKER_11 |
transcript.pyannote[2074].start |
10257.04409375 |
transcript.pyannote[2074].end |
10258.84971875 |
transcript.pyannote[2075].speaker |
SPEAKER_11 |
transcript.pyannote[2075].start |
10259.15346875 |
transcript.pyannote[2075].end |
10264.63784375 |
transcript.pyannote[2076].speaker |
SPEAKER_19 |
transcript.pyannote[2076].start |
10264.63784375 |
transcript.pyannote[2076].end |
10269.09284375 |
transcript.pyannote[2077].speaker |
SPEAKER_19 |
transcript.pyannote[2077].start |
10269.39659375 |
transcript.pyannote[2077].end |
10271.82659375 |
transcript.pyannote[2078].speaker |
SPEAKER_21 |
transcript.pyannote[2078].start |
10271.74221875 |
transcript.pyannote[2078].end |
10272.09659375 |
transcript.pyannote[2079].speaker |
SPEAKER_19 |
transcript.pyannote[2079].start |
10271.92784375 |
transcript.pyannote[2079].end |
10274.45909375 |
transcript.pyannote[2080].speaker |
SPEAKER_21 |
transcript.pyannote[2080].start |
10273.91909375 |
transcript.pyannote[2080].end |
10274.15534375 |
transcript.pyannote[2081].speaker |
SPEAKER_21 |
transcript.pyannote[2081].start |
10274.37471875 |
transcript.pyannote[2081].end |
10274.79659375 |
transcript.pyannote[2082].speaker |
SPEAKER_19 |
transcript.pyannote[2082].start |
10274.69534375 |
transcript.pyannote[2082].end |
10276.51784375 |
transcript.pyannote[2083].speaker |
SPEAKER_19 |
transcript.pyannote[2083].start |
10276.97346875 |
transcript.pyannote[2083].end |
10280.88846875 |
transcript.pyannote[2084].speaker |
SPEAKER_19 |
transcript.pyannote[2084].start |
10281.59721875 |
transcript.pyannote[2084].end |
10282.10346875 |
transcript.pyannote[2085].speaker |
SPEAKER_19 |
transcript.pyannote[2085].start |
10282.39034375 |
transcript.pyannote[2085].end |
10283.13284375 |
transcript.pyannote[2086].speaker |
SPEAKER_19 |
transcript.pyannote[2086].start |
10283.60534375 |
transcript.pyannote[2086].end |
10284.31409375 |
transcript.pyannote[2087].speaker |
SPEAKER_19 |
transcript.pyannote[2087].start |
10284.88784375 |
transcript.pyannote[2087].end |
10290.99659375 |
transcript.pyannote[2088].speaker |
SPEAKER_11 |
transcript.pyannote[2088].start |
10288.95471875 |
transcript.pyannote[2088].end |
10289.24159375 |
transcript.pyannote[2089].speaker |
SPEAKER_11 |
transcript.pyannote[2089].start |
10290.92909375 |
transcript.pyannote[2089].end |
10291.40159375 |
transcript.pyannote[2090].speaker |
SPEAKER_11 |
transcript.pyannote[2090].start |
10291.82346875 |
transcript.pyannote[2090].end |
10300.04159375 |
transcript.pyannote[2091].speaker |
SPEAKER_11 |
transcript.pyannote[2091].start |
10300.53096875 |
transcript.pyannote[2091].end |
10304.36159375 |
transcript.pyannote[2092].speaker |
SPEAKER_11 |
transcript.pyannote[2092].start |
10304.68221875 |
transcript.pyannote[2092].end |
10305.86346875 |
transcript.pyannote[2093].speaker |
SPEAKER_11 |
transcript.pyannote[2093].start |
10305.94784375 |
transcript.pyannote[2093].end |
10305.99846875 |
transcript.pyannote[2094].speaker |
SPEAKER_11 |
transcript.pyannote[2094].start |
10306.03221875 |
transcript.pyannote[2094].end |
10315.29659375 |
transcript.pyannote[2095].speaker |
SPEAKER_19 |
transcript.pyannote[2095].start |
10312.54596875 |
transcript.pyannote[2095].end |
10312.96784375 |
transcript.pyannote[2096].speaker |
SPEAKER_19 |
transcript.pyannote[2096].start |
10315.34721875 |
transcript.pyannote[2096].end |
10320.79784375 |
transcript.pyannote[2097].speaker |
SPEAKER_19 |
transcript.pyannote[2097].start |
10321.69221875 |
transcript.pyannote[2097].end |
10322.82284375 |
transcript.pyannote[2098].speaker |
SPEAKER_19 |
transcript.pyannote[2098].start |
10323.68346875 |
transcript.pyannote[2098].end |
10327.78409375 |
transcript.pyannote[2099].speaker |
SPEAKER_19 |
transcript.pyannote[2099].start |
10328.08784375 |
transcript.pyannote[2099].end |
10328.86409375 |
transcript.pyannote[2100].speaker |
SPEAKER_19 |
transcript.pyannote[2100].start |
10328.98221875 |
transcript.pyannote[2100].end |
10329.80909375 |
transcript.pyannote[2101].speaker |
SPEAKER_19 |
transcript.pyannote[2101].start |
10330.45034375 |
transcript.pyannote[2101].end |
10330.92284375 |
transcript.pyannote[2102].speaker |
SPEAKER_19 |
transcript.pyannote[2102].start |
10331.51346875 |
transcript.pyannote[2102].end |
10332.81284375 |
transcript.pyannote[2103].speaker |
SPEAKER_19 |
transcript.pyannote[2103].start |
10333.04909375 |
transcript.pyannote[2103].end |
10333.96034375 |
transcript.pyannote[2104].speaker |
SPEAKER_19 |
transcript.pyannote[2104].start |
10334.29784375 |
transcript.pyannote[2104].end |
10336.40721875 |
transcript.pyannote[2105].speaker |
SPEAKER_19 |
transcript.pyannote[2105].start |
10337.04846875 |
transcript.pyannote[2105].end |
10337.68971875 |
transcript.pyannote[2106].speaker |
SPEAKER_21 |
transcript.pyannote[2106].start |
10339.36034375 |
transcript.pyannote[2106].end |
10339.98471875 |
transcript.pyannote[2107].speaker |
SPEAKER_19 |
transcript.pyannote[2107].start |
10339.68096875 |
transcript.pyannote[2107].end |
10343.05596875 |
transcript.pyannote[2108].speaker |
SPEAKER_19 |
transcript.pyannote[2108].start |
10344.43971875 |
transcript.pyannote[2108].end |
10348.60784375 |
transcript.pyannote[2109].speaker |
SPEAKER_11 |
transcript.pyannote[2109].start |
10347.40971875 |
transcript.pyannote[2109].end |
10347.78096875 |
transcript.pyannote[2110].speaker |
SPEAKER_11 |
transcript.pyannote[2110].start |
10348.47284375 |
transcript.pyannote[2110].end |
10351.86471875 |
transcript.pyannote[2111].speaker |
SPEAKER_19 |
transcript.pyannote[2111].start |
10349.89034375 |
transcript.pyannote[2111].end |
10356.64034375 |
transcript.pyannote[2112].speaker |
SPEAKER_11 |
transcript.pyannote[2112].start |
10352.05034375 |
transcript.pyannote[2112].end |
10352.80971875 |
transcript.pyannote[2113].speaker |
SPEAKER_11 |
transcript.pyannote[2113].start |
10353.99096875 |
transcript.pyannote[2113].end |
10354.42971875 |
transcript.pyannote[2114].speaker |
SPEAKER_11 |
transcript.pyannote[2114].start |
10354.96971875 |
transcript.pyannote[2114].end |
10355.32409375 |
transcript.pyannote[2115].speaker |
SPEAKER_11 |
transcript.pyannote[2115].start |
10355.64471875 |
transcript.pyannote[2115].end |
10356.01596875 |
transcript.pyannote[2116].speaker |
SPEAKER_11 |
transcript.pyannote[2116].start |
10356.60659375 |
transcript.pyannote[2116].end |
10378.99971875 |
transcript.pyannote[2117].speaker |
SPEAKER_21 |
transcript.pyannote[2117].start |
10366.66409375 |
transcript.pyannote[2117].end |
10367.03534375 |
transcript.pyannote[2118].speaker |
SPEAKER_19 |
transcript.pyannote[2118].start |
10378.99971875 |
transcript.pyannote[2118].end |
10379.37096875 |
transcript.pyannote[2119].speaker |
SPEAKER_11 |
transcript.pyannote[2119].start |
10379.37096875 |
transcript.pyannote[2119].end |
10388.39909375 |
transcript.pyannote[2120].speaker |
SPEAKER_11 |
transcript.pyannote[2120].start |
10388.60159375 |
transcript.pyannote[2120].end |
10390.13721875 |
transcript.pyannote[2121].speaker |
SPEAKER_19 |
transcript.pyannote[2121].start |
10389.95159375 |
transcript.pyannote[2121].end |
10392.70221875 |
transcript.pyannote[2122].speaker |
SPEAKER_11 |
transcript.pyannote[2122].start |
10392.38159375 |
transcript.pyannote[2122].end |
10392.83721875 |
transcript.pyannote[2123].speaker |
SPEAKER_19 |
transcript.pyannote[2123].start |
10393.00596875 |
transcript.pyannote[2123].end |
10393.78221875 |
transcript.pyannote[2124].speaker |
SPEAKER_19 |
transcript.pyannote[2124].start |
10394.11971875 |
transcript.pyannote[2124].end |
10407.24846875 |
transcript.pyannote[2125].speaker |
SPEAKER_21 |
transcript.pyannote[2125].start |
10399.48596875 |
transcript.pyannote[2125].end |
10399.51971875 |
transcript.pyannote[2126].speaker |
SPEAKER_11 |
transcript.pyannote[2126].start |
10399.51971875 |
transcript.pyannote[2126].end |
10399.97534375 |
transcript.pyannote[2127].speaker |
SPEAKER_21 |
transcript.pyannote[2127].start |
10399.97534375 |
transcript.pyannote[2127].end |
10400.02596875 |
transcript.pyannote[2128].speaker |
SPEAKER_11 |
transcript.pyannote[2128].start |
10400.02596875 |
transcript.pyannote[2128].end |
10400.26221875 |
transcript.pyannote[2129].speaker |
SPEAKER_11 |
transcript.pyannote[2129].start |
10403.72159375 |
transcript.pyannote[2129].end |
10404.14346875 |
transcript.pyannote[2130].speaker |
SPEAKER_11 |
transcript.pyannote[2130].start |
10404.37971875 |
transcript.pyannote[2130].end |
10404.98721875 |
transcript.pyannote[2131].speaker |
SPEAKER_11 |
transcript.pyannote[2131].start |
10406.84346875 |
transcript.pyannote[2131].end |
10407.63659375 |
transcript.pyannote[2132].speaker |
SPEAKER_19 |
transcript.pyannote[2132].start |
10407.63659375 |
transcript.pyannote[2132].end |
10415.80409375 |
transcript.pyannote[2133].speaker |
SPEAKER_11 |
transcript.pyannote[2133].start |
10415.70284375 |
transcript.pyannote[2133].end |
10415.78721875 |
transcript.pyannote[2134].speaker |
SPEAKER_21 |
transcript.pyannote[2134].start |
10415.78721875 |
transcript.pyannote[2134].end |
10415.97284375 |
transcript.pyannote[2135].speaker |
SPEAKER_11 |
transcript.pyannote[2135].start |
10415.97284375 |
transcript.pyannote[2135].end |
10416.04034375 |
transcript.pyannote[2136].speaker |
SPEAKER_19 |
transcript.pyannote[2136].start |
10416.04034375 |
transcript.pyannote[2136].end |
10420.59659375 |
transcript.pyannote[2137].speaker |
SPEAKER_11 |
transcript.pyannote[2137].start |
10420.24221875 |
transcript.pyannote[2137].end |
10425.92909375 |
transcript.pyannote[2138].speaker |
SPEAKER_19 |
transcript.pyannote[2138].start |
10424.79846875 |
transcript.pyannote[2138].end |
10440.28971875 |
transcript.pyannote[2139].speaker |
SPEAKER_11 |
transcript.pyannote[2139].start |
10426.21596875 |
transcript.pyannote[2139].end |
10426.48596875 |
transcript.pyannote[2140].speaker |
SPEAKER_21 |
transcript.pyannote[2140].start |
10434.09659375 |
transcript.pyannote[2140].end |
10434.33284375 |
transcript.pyannote[2141].speaker |
SPEAKER_21 |
transcript.pyannote[2141].start |
10436.72909375 |
transcript.pyannote[2141].end |
10437.10034375 |
transcript.pyannote[2142].speaker |
SPEAKER_11 |
transcript.pyannote[2142].start |
10439.44596875 |
transcript.pyannote[2142].end |
10439.46284375 |
transcript.pyannote[2143].speaker |
SPEAKER_21 |
transcript.pyannote[2143].start |
10439.46284375 |
transcript.pyannote[2143].end |
10439.47971875 |
transcript.pyannote[2144].speaker |
SPEAKER_11 |
transcript.pyannote[2144].start |
10439.47971875 |
transcript.pyannote[2144].end |
10439.74971875 |
transcript.pyannote[2145].speaker |
SPEAKER_19 |
transcript.pyannote[2145].start |
10447.00596875 |
transcript.pyannote[2145].end |
10447.42784375 |
transcript.pyannote[2146].speaker |
SPEAKER_19 |
transcript.pyannote[2146].start |
10449.26721875 |
transcript.pyannote[2146].end |
10450.70159375 |
transcript.pyannote[2147].speaker |
SPEAKER_19 |
transcript.pyannote[2147].start |
10451.15721875 |
transcript.pyannote[2147].end |
10454.17784375 |
transcript.pyannote[2148].speaker |
SPEAKER_19 |
transcript.pyannote[2148].start |
10454.58284375 |
transcript.pyannote[2148].end |
10456.15221875 |
transcript.pyannote[2149].speaker |
SPEAKER_21 |
transcript.pyannote[2149].start |
10456.69221875 |
transcript.pyannote[2149].end |
10456.77659375 |
transcript.pyannote[2150].speaker |
SPEAKER_19 |
transcript.pyannote[2150].start |
10456.77659375 |
transcript.pyannote[2150].end |
10459.02096875 |
transcript.pyannote[2151].speaker |
SPEAKER_21 |
transcript.pyannote[2151].start |
10458.63284375 |
transcript.pyannote[2151].end |
10459.24034375 |
transcript.pyannote[2152].speaker |
SPEAKER_19 |
transcript.pyannote[2152].start |
10459.17284375 |
transcript.pyannote[2152].end |
10460.94471875 |
transcript.pyannote[2153].speaker |
SPEAKER_19 |
transcript.pyannote[2153].start |
10462.66596875 |
transcript.pyannote[2153].end |
10467.17159375 |
transcript.pyannote[2154].speaker |
SPEAKER_19 |
transcript.pyannote[2154].start |
10467.67784375 |
transcript.pyannote[2154].end |
10486.47659375 |
transcript.pyannote[2155].speaker |
SPEAKER_21 |
transcript.pyannote[2155].start |
10486.69596875 |
transcript.pyannote[2155].end |
10486.78034375 |
transcript.pyannote[2156].speaker |
SPEAKER_19 |
transcript.pyannote[2156].start |
10487.92784375 |
transcript.pyannote[2156].end |
10489.02471875 |
transcript.pyannote[2157].speaker |
SPEAKER_21 |
transcript.pyannote[2157].start |
10488.92346875 |
transcript.pyannote[2157].end |
10489.27784375 |
transcript.pyannote[2158].speaker |
SPEAKER_19 |
transcript.pyannote[2158].start |
10489.68284375 |
transcript.pyannote[2158].end |
10491.75846875 |
transcript.pyannote[2159].speaker |
SPEAKER_19 |
transcript.pyannote[2159].start |
10493.14221875 |
transcript.pyannote[2159].end |
10497.98534375 |
transcript.pyannote[2160].speaker |
SPEAKER_21 |
transcript.pyannote[2160].start |
10497.76596875 |
transcript.pyannote[2160].end |
10498.13721875 |
transcript.pyannote[2161].speaker |
SPEAKER_19 |
transcript.pyannote[2161].start |
10498.13721875 |
transcript.pyannote[2161].end |
10508.68409375 |
transcript.pyannote[2162].speaker |
SPEAKER_21 |
transcript.pyannote[2162].start |
10504.97159375 |
transcript.pyannote[2162].end |
10506.62534375 |
transcript.pyannote[2163].speaker |
SPEAKER_21 |
transcript.pyannote[2163].start |
10507.23284375 |
transcript.pyannote[2163].end |
10507.92471875 |
transcript.pyannote[2164].speaker |
SPEAKER_19 |
transcript.pyannote[2164].start |
10509.61221875 |
transcript.pyannote[2164].end |
10510.74284375 |
transcript.pyannote[2165].speaker |
SPEAKER_19 |
transcript.pyannote[2165].start |
10511.92409375 |
transcript.pyannote[2165].end |
10513.86471875 |
transcript.pyannote[2166].speaker |
SPEAKER_19 |
transcript.pyannote[2166].start |
10514.01659375 |
transcript.pyannote[2166].end |
10516.49721875 |
transcript.pyannote[2167].speaker |
SPEAKER_19 |
transcript.pyannote[2167].start |
10516.76721875 |
transcript.pyannote[2167].end |
10522.20096875 |
transcript.pyannote[2168].speaker |
SPEAKER_11 |
transcript.pyannote[2168].start |
10521.82971875 |
transcript.pyannote[2168].end |
10521.86346875 |
transcript.pyannote[2169].speaker |
SPEAKER_21 |
transcript.pyannote[2169].start |
10521.86346875 |
transcript.pyannote[2169].end |
10522.18409375 |
transcript.pyannote[2170].speaker |
SPEAKER_21 |
transcript.pyannote[2170].start |
10522.20096875 |
transcript.pyannote[2170].end |
10522.69034375 |
transcript.pyannote[2171].speaker |
SPEAKER_19 |
transcript.pyannote[2171].start |
10523.50034375 |
transcript.pyannote[2171].end |
10523.78721875 |
transcript.pyannote[2172].speaker |
SPEAKER_19 |
transcript.pyannote[2172].start |
10524.04034375 |
transcript.pyannote[2172].end |
10524.78284375 |
transcript.pyannote[2173].speaker |
SPEAKER_19 |
transcript.pyannote[2173].start |
10525.30596875 |
transcript.pyannote[2173].end |
10527.02721875 |
transcript.pyannote[2174].speaker |
SPEAKER_19 |
transcript.pyannote[2174].start |
10528.34346875 |
transcript.pyannote[2174].end |
10532.57909375 |
transcript.pyannote[2175].speaker |
SPEAKER_11 |
transcript.pyannote[2175].start |
10532.83221875 |
transcript.pyannote[2175].end |
10533.11909375 |
transcript.pyannote[2176].speaker |
SPEAKER_19 |
transcript.pyannote[2176].start |
10532.91659375 |
transcript.pyannote[2176].end |
10533.84471875 |
transcript.pyannote[2177].speaker |
SPEAKER_11 |
transcript.pyannote[2177].start |
10533.69284375 |
transcript.pyannote[2177].end |
10535.58284375 |
transcript.pyannote[2178].speaker |
SPEAKER_11 |
transcript.pyannote[2178].start |
10535.61659375 |
transcript.pyannote[2178].end |
10539.73409375 |
transcript.pyannote[2179].speaker |
SPEAKER_21 |
transcript.pyannote[2179].start |
10539.71721875 |
transcript.pyannote[2179].end |
10540.08846875 |
transcript.pyannote[2180].speaker |
SPEAKER_11 |
transcript.pyannote[2180].start |
10539.98721875 |
transcript.pyannote[2180].end |
10541.91096875 |
transcript.pyannote[2181].speaker |
SPEAKER_11 |
transcript.pyannote[2181].start |
10542.33284375 |
transcript.pyannote[2181].end |
10545.08346875 |
transcript.pyannote[2182].speaker |
SPEAKER_11 |
transcript.pyannote[2182].start |
10545.47159375 |
transcript.pyannote[2182].end |
10545.77534375 |
transcript.pyannote[2183].speaker |
SPEAKER_11 |
transcript.pyannote[2183].start |
10546.19721875 |
transcript.pyannote[2183].end |
10552.22159375 |
transcript.pyannote[2184].speaker |
SPEAKER_11 |
transcript.pyannote[2184].start |
10552.59284375 |
transcript.pyannote[2184].end |
10554.98909375 |
transcript.pyannote[2185].speaker |
SPEAKER_19 |
transcript.pyannote[2185].start |
10555.34346875 |
transcript.pyannote[2185].end |
10579.93034375 |
transcript.pyannote[2186].speaker |
SPEAKER_19 |
transcript.pyannote[2186].start |
10580.60534375 |
transcript.pyannote[2186].end |
10581.78659375 |
transcript.pyannote[2187].speaker |
SPEAKER_19 |
transcript.pyannote[2187].start |
10582.71471875 |
transcript.pyannote[2187].end |
10583.42346875 |
transcript.pyannote[2188].speaker |
SPEAKER_19 |
transcript.pyannote[2188].start |
10584.89159375 |
transcript.pyannote[2188].end |
10586.03909375 |
transcript.pyannote[2189].speaker |
SPEAKER_19 |
transcript.pyannote[2189].start |
10586.96721875 |
transcript.pyannote[2189].end |
10588.77284375 |
transcript.pyannote[2190].speaker |
SPEAKER_19 |
transcript.pyannote[2190].start |
10589.21159375 |
transcript.pyannote[2190].end |
10590.20721875 |
transcript.pyannote[2191].speaker |
SPEAKER_19 |
transcript.pyannote[2191].start |
10591.15221875 |
transcript.pyannote[2191].end |
10592.58659375 |
transcript.pyannote[2192].speaker |
SPEAKER_19 |
transcript.pyannote[2192].start |
10594.10534375 |
transcript.pyannote[2192].end |
10596.16409375 |
transcript.pyannote[2193].speaker |
SPEAKER_19 |
transcript.pyannote[2193].start |
10596.70409375 |
transcript.pyannote[2193].end |
10597.90221875 |
transcript.pyannote[2194].speaker |
SPEAKER_11 |
transcript.pyannote[2194].start |
10598.35784375 |
transcript.pyannote[2194].end |
10599.18471875 |
transcript.pyannote[2195].speaker |
SPEAKER_11 |
transcript.pyannote[2195].start |
10599.42096875 |
transcript.pyannote[2195].end |
10601.07471875 |
transcript.pyannote[2196].speaker |
SPEAKER_19 |
transcript.pyannote[2196].start |
10600.36596875 |
transcript.pyannote[2196].end |
10600.82159375 |
transcript.pyannote[2197].speaker |
SPEAKER_11 |
transcript.pyannote[2197].start |
10601.73284375 |
transcript.pyannote[2197].end |
10602.81284375 |
transcript.pyannote[2198].speaker |
SPEAKER_11 |
transcript.pyannote[2198].start |
10603.15034375 |
transcript.pyannote[2198].end |
10604.04471875 |
transcript.pyannote[2199].speaker |
SPEAKER_11 |
transcript.pyannote[2199].start |
10604.53409375 |
transcript.pyannote[2199].end |
10610.18721875 |
transcript.pyannote[2200].speaker |
SPEAKER_21 |
transcript.pyannote[2200].start |
10605.56346875 |
transcript.pyannote[2200].end |
10605.96846875 |
transcript.pyannote[2201].speaker |
SPEAKER_11 |
transcript.pyannote[2201].start |
10610.27159375 |
transcript.pyannote[2201].end |
10610.32221875 |
transcript.pyannote[2202].speaker |
SPEAKER_21 |
transcript.pyannote[2202].start |
10610.32221875 |
transcript.pyannote[2202].end |
10610.59221875 |
transcript.pyannote[2203].speaker |
SPEAKER_11 |
transcript.pyannote[2203].start |
10610.42346875 |
transcript.pyannote[2203].end |
10614.60846875 |
transcript.pyannote[2204].speaker |
SPEAKER_11 |
transcript.pyannote[2204].start |
10615.24971875 |
transcript.pyannote[2204].end |
10618.81034375 |
transcript.pyannote[2205].speaker |
SPEAKER_19 |
transcript.pyannote[2205].start |
10618.81034375 |
transcript.pyannote[2205].end |
10619.08034375 |
transcript.pyannote[2206].speaker |
SPEAKER_11 |
transcript.pyannote[2206].start |
10618.82721875 |
transcript.pyannote[2206].end |
10620.61596875 |
transcript.pyannote[2207].speaker |
SPEAKER_19 |
transcript.pyannote[2207].start |
10620.61596875 |
transcript.pyannote[2207].end |
10622.06721875 |
transcript.pyannote[2208].speaker |
SPEAKER_11 |
transcript.pyannote[2208].start |
10621.78034375 |
transcript.pyannote[2208].end |
10624.86846875 |
transcript.pyannote[2209].speaker |
SPEAKER_11 |
transcript.pyannote[2209].start |
10625.17221875 |
transcript.pyannote[2209].end |
10648.66221875 |
transcript.pyannote[2210].speaker |
SPEAKER_19 |
transcript.pyannote[2210].start |
10649.18534375 |
transcript.pyannote[2210].end |
10656.55971875 |
transcript.pyannote[2211].speaker |
SPEAKER_21 |
transcript.pyannote[2211].start |
10656.77909375 |
transcript.pyannote[2211].end |
10657.25159375 |
transcript.pyannote[2212].speaker |
SPEAKER_19 |
transcript.pyannote[2212].start |
10657.16721875 |
transcript.pyannote[2212].end |
10680.74159375 |
transcript.pyannote[2213].speaker |
SPEAKER_21 |
transcript.pyannote[2213].start |
10661.09909375 |
transcript.pyannote[2213].end |
10661.48721875 |
transcript.pyannote[2214].speaker |
SPEAKER_21 |
transcript.pyannote[2214].start |
10667.95034375 |
transcript.pyannote[2214].end |
10668.32159375 |
transcript.pyannote[2215].speaker |
SPEAKER_00 |
transcript.pyannote[2215].start |
10668.32159375 |
transcript.pyannote[2215].end |
10668.40596875 |
transcript.pyannote[2216].speaker |
SPEAKER_00 |
transcript.pyannote[2216].start |
10669.23284375 |
transcript.pyannote[2216].end |
10669.45221875 |
transcript.pyannote[2217].speaker |
SPEAKER_11 |
transcript.pyannote[2217].start |
10673.24909375 |
transcript.pyannote[2217].end |
10673.33346875 |
transcript.pyannote[2218].speaker |
SPEAKER_11 |
transcript.pyannote[2218].start |
10674.36284375 |
transcript.pyannote[2218].end |
10674.76784375 |
transcript.pyannote[2219].speaker |
SPEAKER_11 |
transcript.pyannote[2219].start |
10680.69096875 |
transcript.pyannote[2219].end |
10683.07034375 |
transcript.pyannote[2220].speaker |
SPEAKER_19 |
transcript.pyannote[2220].start |
10683.07034375 |
transcript.pyannote[2220].end |
10683.34034375 |
transcript.pyannote[2221].speaker |
SPEAKER_11 |
transcript.pyannote[2221].start |
10683.34034375 |
transcript.pyannote[2221].end |
10688.01471875 |
transcript.pyannote[2222].speaker |
SPEAKER_19 |
transcript.pyannote[2222].start |
10684.84221875 |
transcript.pyannote[2222].end |
10685.09534375 |
transcript.pyannote[2223].speaker |
SPEAKER_19 |
transcript.pyannote[2223].start |
10686.00659375 |
transcript.pyannote[2223].end |
10686.15846875 |
transcript.pyannote[2224].speaker |
SPEAKER_19 |
transcript.pyannote[2224].start |
10686.17534375 |
transcript.pyannote[2224].end |
10686.63096875 |
transcript.pyannote[2225].speaker |
SPEAKER_19 |
transcript.pyannote[2225].start |
10688.18346875 |
transcript.pyannote[2225].end |
10689.56721875 |
transcript.pyannote[2226].speaker |
SPEAKER_06 |
transcript.pyannote[2226].start |
10691.40659375 |
transcript.pyannote[2226].end |
10693.87034375 |
transcript.pyannote[2227].speaker |
SPEAKER_06 |
transcript.pyannote[2227].start |
10695.32159375 |
transcript.pyannote[2227].end |
10698.78096875 |
transcript.pyannote[2228].speaker |
SPEAKER_23 |
transcript.pyannote[2228].start |
10698.94971875 |
transcript.pyannote[2228].end |
10698.96659375 |
transcript.pyannote[2229].speaker |
SPEAKER_21 |
transcript.pyannote[2229].start |
10698.96659375 |
transcript.pyannote[2229].end |
10699.03409375 |
transcript.pyannote[2230].speaker |
SPEAKER_23 |
transcript.pyannote[2230].start |
10699.03409375 |
transcript.pyannote[2230].end |
10699.10159375 |
transcript.pyannote[2231].speaker |
SPEAKER_21 |
transcript.pyannote[2231].start |
10699.10159375 |
transcript.pyannote[2231].end |
10699.32096875 |
transcript.pyannote[2232].speaker |
SPEAKER_23 |
transcript.pyannote[2232].start |
10699.32096875 |
transcript.pyannote[2232].end |
10699.87784375 |
transcript.pyannote[2233].speaker |
SPEAKER_23 |
transcript.pyannote[2233].start |
10700.06346875 |
transcript.pyannote[2233].end |
10700.08034375 |
transcript.pyannote[2234].speaker |
SPEAKER_21 |
transcript.pyannote[2234].start |
10700.08034375 |
transcript.pyannote[2234].end |
10700.33346875 |
transcript.pyannote[2235].speaker |
SPEAKER_23 |
transcript.pyannote[2235].start |
10700.33346875 |
transcript.pyannote[2235].end |
10703.11784375 |
transcript.pyannote[2236].speaker |
SPEAKER_23 |
transcript.pyannote[2236].start |
10703.38784375 |
transcript.pyannote[2236].end |
10704.02909375 |
transcript.pyannote[2237].speaker |
SPEAKER_23 |
transcript.pyannote[2237].start |
10710.71159375 |
transcript.pyannote[2237].end |
10715.20034375 |
transcript.pyannote[2238].speaker |
SPEAKER_23 |
transcript.pyannote[2238].start |
10715.95971875 |
transcript.pyannote[2238].end |
10716.82034375 |
transcript.pyannote[2239].speaker |
SPEAKER_06 |
transcript.pyannote[2239].start |
10716.82034375 |
transcript.pyannote[2239].end |
10717.83284375 |
transcript.pyannote[2240].speaker |
SPEAKER_23 |
transcript.pyannote[2240].start |
10717.10721875 |
transcript.pyannote[2240].end |
10717.51221875 |
transcript.pyannote[2241].speaker |
SPEAKER_23 |
transcript.pyannote[2241].start |
10720.24596875 |
transcript.pyannote[2241].end |
10724.19471875 |
transcript.pyannote[2242].speaker |
SPEAKER_23 |
transcript.pyannote[2242].start |
10724.80221875 |
transcript.pyannote[2242].end |
10725.12284375 |
transcript.pyannote[2243].speaker |
SPEAKER_23 |
transcript.pyannote[2243].start |
10727.02971875 |
transcript.pyannote[2243].end |
10727.62034375 |
transcript.pyannote[2244].speaker |
SPEAKER_23 |
transcript.pyannote[2244].start |
10728.14346875 |
transcript.pyannote[2244].end |
10733.27346875 |
transcript.pyannote[2245].speaker |
SPEAKER_23 |
transcript.pyannote[2245].start |
10733.94846875 |
transcript.pyannote[2245].end |
10734.42096875 |
transcript.pyannote[2246].speaker |
SPEAKER_23 |
transcript.pyannote[2246].start |
10734.74159375 |
transcript.pyannote[2246].end |
10739.11221875 |
transcript.pyannote[2247].speaker |
SPEAKER_23 |
transcript.pyannote[2247].start |
10739.31471875 |
transcript.pyannote[2247].end |
10740.95159375 |
transcript.pyannote[2248].speaker |
SPEAKER_23 |
transcript.pyannote[2248].start |
10741.57596875 |
transcript.pyannote[2248].end |
10746.08159375 |
transcript.pyannote[2249].speaker |
SPEAKER_11 |
transcript.pyannote[2249].start |
10746.68909375 |
transcript.pyannote[2249].end |
10747.66784375 |
transcript.pyannote[2250].speaker |
SPEAKER_11 |
transcript.pyannote[2250].start |
10748.02221875 |
transcript.pyannote[2250].end |
10748.68034375 |
transcript.pyannote[2251].speaker |
SPEAKER_23 |
transcript.pyannote[2251].start |
10748.34284375 |
transcript.pyannote[2251].end |
10749.89534375 |
transcript.pyannote[2252].speaker |
SPEAKER_11 |
transcript.pyannote[2252].start |
10749.57471875 |
transcript.pyannote[2252].end |
10752.15659375 |
transcript.pyannote[2253].speaker |
SPEAKER_11 |
transcript.pyannote[2253].start |
10752.73034375 |
transcript.pyannote[2253].end |
10754.87346875 |
transcript.pyannote[2254].speaker |
SPEAKER_23 |
transcript.pyannote[2254].start |
10756.22346875 |
transcript.pyannote[2254].end |
10760.30721875 |
transcript.pyannote[2255].speaker |
SPEAKER_23 |
transcript.pyannote[2255].start |
10760.91471875 |
transcript.pyannote[2255].end |
10761.25221875 |
transcript.pyannote[2256].speaker |
SPEAKER_11 |
transcript.pyannote[2256].start |
10762.45034375 |
transcript.pyannote[2256].end |
10767.39471875 |
transcript.pyannote[2257].speaker |
SPEAKER_11 |
transcript.pyannote[2257].start |
10768.12034375 |
transcript.pyannote[2257].end |
10773.19971875 |
transcript.pyannote[2258].speaker |
SPEAKER_11 |
transcript.pyannote[2258].start |
10773.90846875 |
transcript.pyannote[2258].end |
10779.19034375 |
transcript.pyannote[2259].speaker |
SPEAKER_11 |
transcript.pyannote[2259].start |
10780.01721875 |
transcript.pyannote[2259].end |
10781.97471875 |
transcript.pyannote[2260].speaker |
SPEAKER_23 |
transcript.pyannote[2260].start |
10781.11409375 |
transcript.pyannote[2260].end |
10784.57346875 |
transcript.pyannote[2261].speaker |
SPEAKER_11 |
transcript.pyannote[2261].start |
10783.45971875 |
transcript.pyannote[2261].end |
10783.49346875 |
transcript.pyannote[2262].speaker |
SPEAKER_23 |
transcript.pyannote[2262].start |
10784.75909375 |
transcript.pyannote[2262].end |
10786.26096875 |
transcript.pyannote[2263].speaker |
SPEAKER_11 |
transcript.pyannote[2263].start |
10786.26096875 |
transcript.pyannote[2263].end |
10787.57721875 |
transcript.pyannote[2264].speaker |
SPEAKER_11 |
transcript.pyannote[2264].start |
10787.96534375 |
transcript.pyannote[2264].end |
10788.60659375 |
transcript.pyannote[2265].speaker |
SPEAKER_23 |
transcript.pyannote[2265].start |
10788.45471875 |
transcript.pyannote[2265].end |
10800.84096875 |
transcript.pyannote[2266].speaker |
SPEAKER_23 |
transcript.pyannote[2266].start |
10801.19534375 |
transcript.pyannote[2266].end |
10801.61721875 |
transcript.pyannote[2267].speaker |
SPEAKER_23 |
transcript.pyannote[2267].start |
10802.91659375 |
transcript.pyannote[2267].end |
10804.89096875 |
transcript.pyannote[2268].speaker |
SPEAKER_23 |
transcript.pyannote[2268].start |
10805.70096875 |
transcript.pyannote[2268].end |
10806.76409375 |
transcript.pyannote[2269].speaker |
SPEAKER_23 |
transcript.pyannote[2269].start |
10806.79784375 |
transcript.pyannote[2269].end |
10807.42221875 |
transcript.pyannote[2270].speaker |
SPEAKER_23 |
transcript.pyannote[2270].start |
10807.57409375 |
transcript.pyannote[2270].end |
10812.26534375 |
transcript.pyannote[2271].speaker |
SPEAKER_23 |
transcript.pyannote[2271].start |
10812.53534375 |
transcript.pyannote[2271].end |
10814.57721875 |
transcript.pyannote[2272].speaker |
SPEAKER_23 |
transcript.pyannote[2272].start |
10814.71221875 |
transcript.pyannote[2272].end |
10818.84659375 |
transcript.pyannote[2273].speaker |
SPEAKER_23 |
transcript.pyannote[2273].start |
10819.74096875 |
transcript.pyannote[2273].end |
10820.80409375 |
transcript.pyannote[2274].speaker |
SPEAKER_23 |
transcript.pyannote[2274].start |
10821.14159375 |
transcript.pyannote[2274].end |
10824.12846875 |
transcript.pyannote[2275].speaker |
SPEAKER_11 |
transcript.pyannote[2275].start |
10823.45346875 |
transcript.pyannote[2275].end |
10824.28034375 |
transcript.pyannote[2276].speaker |
SPEAKER_23 |
transcript.pyannote[2276].start |
10824.41534375 |
transcript.pyannote[2276].end |
10824.80346875 |
transcript.pyannote[2277].speaker |
SPEAKER_11 |
transcript.pyannote[2277].start |
10824.80346875 |
transcript.pyannote[2277].end |
10826.79471875 |
transcript.pyannote[2278].speaker |
SPEAKER_11 |
transcript.pyannote[2278].start |
10828.65096875 |
transcript.pyannote[2278].end |
10829.49471875 |
transcript.pyannote[2279].speaker |
SPEAKER_23 |
transcript.pyannote[2279].start |
10828.70159375 |
transcript.pyannote[2279].end |
10829.56221875 |
transcript.pyannote[2280].speaker |
SPEAKER_23 |
transcript.pyannote[2280].start |
10830.10221875 |
transcript.pyannote[2280].end |
10831.26659375 |
transcript.pyannote[2281].speaker |
SPEAKER_11 |
transcript.pyannote[2281].start |
10830.27096875 |
transcript.pyannote[2281].end |
10831.95846875 |
transcript.pyannote[2282].speaker |
SPEAKER_23 |
transcript.pyannote[2282].start |
10831.62096875 |
transcript.pyannote[2282].end |
10832.75159375 |
transcript.pyannote[2283].speaker |
SPEAKER_11 |
transcript.pyannote[2283].start |
10833.05534375 |
transcript.pyannote[2283].end |
10833.51096875 |
transcript.pyannote[2284].speaker |
SPEAKER_23 |
transcript.pyannote[2284].start |
10833.51096875 |
transcript.pyannote[2284].end |
10833.69659375 |
transcript.pyannote[2285].speaker |
SPEAKER_11 |
transcript.pyannote[2285].start |
10833.59534375 |
transcript.pyannote[2285].end |
10833.61221875 |
transcript.pyannote[2286].speaker |
SPEAKER_11 |
transcript.pyannote[2286].start |
10833.64596875 |
transcript.pyannote[2286].end |
10833.66284375 |
transcript.pyannote[2287].speaker |
SPEAKER_11 |
transcript.pyannote[2287].start |
10833.69659375 |
transcript.pyannote[2287].end |
10834.27034375 |
transcript.pyannote[2288].speaker |
SPEAKER_11 |
transcript.pyannote[2288].start |
10834.42221875 |
transcript.pyannote[2288].end |
10836.76784375 |
transcript.pyannote[2289].speaker |
SPEAKER_11 |
transcript.pyannote[2289].start |
10837.51034375 |
transcript.pyannote[2289].end |
10840.54784375 |
transcript.pyannote[2290].speaker |
SPEAKER_11 |
transcript.pyannote[2290].start |
10840.83471875 |
transcript.pyannote[2290].end |
10842.50534375 |
transcript.pyannote[2291].speaker |
SPEAKER_11 |
transcript.pyannote[2291].start |
10842.64034375 |
transcript.pyannote[2291].end |
10844.58096875 |
transcript.pyannote[2292].speaker |
SPEAKER_23 |
transcript.pyannote[2292].start |
10845.44159375 |
transcript.pyannote[2292].end |
10847.70284375 |
transcript.pyannote[2293].speaker |
SPEAKER_23 |
transcript.pyannote[2293].start |
10848.42846875 |
transcript.pyannote[2293].end |
10849.18784375 |
transcript.pyannote[2294].speaker |
SPEAKER_21 |
transcript.pyannote[2294].start |
10849.79534375 |
transcript.pyannote[2294].end |
10849.98096875 |
transcript.pyannote[2295].speaker |
SPEAKER_23 |
transcript.pyannote[2295].start |
10850.80784375 |
transcript.pyannote[2295].end |
10853.10284375 |
transcript.pyannote[2296].speaker |
SPEAKER_23 |
transcript.pyannote[2296].start |
10855.11096875 |
transcript.pyannote[2296].end |
10870.09596875 |
transcript.pyannote[2297].speaker |
SPEAKER_11 |
transcript.pyannote[2297].start |
10857.62534375 |
transcript.pyannote[2297].end |
10857.82784375 |
transcript.pyannote[2298].speaker |
SPEAKER_11 |
transcript.pyannote[2298].start |
10861.99596875 |
transcript.pyannote[2298].end |
10862.01284375 |
transcript.pyannote[2299].speaker |
SPEAKER_21 |
transcript.pyannote[2299].start |
10862.01284375 |
transcript.pyannote[2299].end |
10863.44721875 |
transcript.pyannote[2300].speaker |
SPEAKER_21 |
transcript.pyannote[2300].start |
10866.67034375 |
transcript.pyannote[2300].end |
10866.68721875 |
transcript.pyannote[2301].speaker |
SPEAKER_23 |
transcript.pyannote[2301].start |
10870.41659375 |
transcript.pyannote[2301].end |
10870.70346875 |
transcript.pyannote[2302].speaker |
SPEAKER_23 |
transcript.pyannote[2302].start |
10870.93971875 |
transcript.pyannote[2302].end |
10871.34471875 |
transcript.pyannote[2303].speaker |
SPEAKER_23 |
transcript.pyannote[2303].start |
10872.13784375 |
transcript.pyannote[2303].end |
10876.32284375 |
transcript.pyannote[2304].speaker |
SPEAKER_23 |
transcript.pyannote[2304].start |
10876.69409375 |
transcript.pyannote[2304].end |
10878.36471875 |
transcript.pyannote[2305].speaker |
SPEAKER_23 |
transcript.pyannote[2305].start |
10879.63034375 |
transcript.pyannote[2305].end |
10883.71409375 |
transcript.pyannote[2306].speaker |
SPEAKER_11 |
transcript.pyannote[2306].start |
10884.97971875 |
transcript.pyannote[2306].end |
10885.01346875 |
transcript.pyannote[2307].speaker |
SPEAKER_23 |
transcript.pyannote[2307].start |
10885.01346875 |
transcript.pyannote[2307].end |
10886.86971875 |
transcript.pyannote[2308].speaker |
SPEAKER_11 |
transcript.pyannote[2308].start |
10885.03034375 |
transcript.pyannote[2308].end |
10885.28346875 |
transcript.pyannote[2309].speaker |
SPEAKER_11 |
transcript.pyannote[2309].start |
10886.02596875 |
transcript.pyannote[2309].end |
10887.76409375 |
transcript.pyannote[2310].speaker |
SPEAKER_11 |
transcript.pyannote[2310].start |
10888.45596875 |
transcript.pyannote[2310].end |
10900.58909375 |
transcript.pyannote[2311].speaker |
SPEAKER_11 |
transcript.pyannote[2311].start |
10901.02784375 |
transcript.pyannote[2311].end |
10907.60909375 |
transcript.pyannote[2312].speaker |
SPEAKER_23 |
transcript.pyannote[2312].start |
10903.32284375 |
transcript.pyannote[2312].end |
10903.77846875 |
transcript.pyannote[2313].speaker |
SPEAKER_23 |
transcript.pyannote[2313].start |
10905.88784375 |
transcript.pyannote[2313].end |
10912.80659375 |
transcript.pyannote[2314].speaker |
SPEAKER_11 |
transcript.pyannote[2314].start |
10912.60409375 |
transcript.pyannote[2314].end |
10913.39721875 |
transcript.pyannote[2315].speaker |
SPEAKER_23 |
transcript.pyannote[2315].start |
10912.97534375 |
transcript.pyannote[2315].end |
10915.70909375 |
transcript.pyannote[2316].speaker |
SPEAKER_23 |
transcript.pyannote[2316].start |
10916.23221875 |
transcript.pyannote[2316].end |
10916.63721875 |
transcript.pyannote[2317].speaker |
SPEAKER_11 |
transcript.pyannote[2317].start |
10917.86909375 |
transcript.pyannote[2317].end |
10923.58971875 |
transcript.pyannote[2318].speaker |
SPEAKER_11 |
transcript.pyannote[2318].start |
10923.94409375 |
transcript.pyannote[2318].end |
10925.10846875 |
transcript.pyannote[2319].speaker |
SPEAKER_11 |
transcript.pyannote[2319].start |
10925.32784375 |
transcript.pyannote[2319].end |
10935.67221875 |
transcript.pyannote[2320].speaker |
SPEAKER_11 |
transcript.pyannote[2320].start |
10936.24596875 |
transcript.pyannote[2320].end |
10941.02159375 |
transcript.pyannote[2321].speaker |
SPEAKER_23 |
transcript.pyannote[2321].start |
10938.54096875 |
transcript.pyannote[2321].end |
10938.59159375 |
transcript.pyannote[2322].speaker |
SPEAKER_21 |
transcript.pyannote[2322].start |
10938.59159375 |
transcript.pyannote[2322].end |
10939.16534375 |
transcript.pyannote[2323].speaker |
SPEAKER_23 |
transcript.pyannote[2323].start |
10939.18221875 |
transcript.pyannote[2323].end |
10939.72221875 |
transcript.pyannote[2324].speaker |
SPEAKER_21 |
transcript.pyannote[2324].start |
10940.53221875 |
transcript.pyannote[2324].end |
10940.54909375 |
transcript.pyannote[2325].speaker |
SPEAKER_23 |
transcript.pyannote[2325].start |
10940.54909375 |
transcript.pyannote[2325].end |
10941.34221875 |
transcript.pyannote[2326].speaker |
SPEAKER_11 |
transcript.pyannote[2326].start |
10941.64596875 |
transcript.pyannote[2326].end |
10945.61159375 |
transcript.pyannote[2327].speaker |
SPEAKER_23 |
transcript.pyannote[2327].start |
10943.55284375 |
transcript.pyannote[2327].end |
10943.90721875 |
transcript.pyannote[2328].speaker |
SPEAKER_23 |
transcript.pyannote[2328].start |
10944.68346875 |
transcript.pyannote[2328].end |
10947.67034375 |
transcript.pyannote[2329].speaker |
SPEAKER_11 |
transcript.pyannote[2329].start |
10946.87721875 |
transcript.pyannote[2329].end |
10949.54346875 |
transcript.pyannote[2330].speaker |
SPEAKER_11 |
transcript.pyannote[2330].start |
10949.99909375 |
transcript.pyannote[2330].end |
10953.37409375 |
transcript.pyannote[2331].speaker |
SPEAKER_23 |
transcript.pyannote[2331].start |
10950.79221875 |
transcript.pyannote[2331].end |
10950.89346875 |
transcript.pyannote[2332].speaker |
SPEAKER_11 |
transcript.pyannote[2332].start |
10953.94784375 |
transcript.pyannote[2332].end |
10958.43659375 |
transcript.pyannote[2333].speaker |
SPEAKER_23 |
transcript.pyannote[2333].start |
10958.43659375 |
transcript.pyannote[2333].end |
10969.23659375 |
transcript.pyannote[2334].speaker |
SPEAKER_21 |
transcript.pyannote[2334].start |
10968.46034375 |
transcript.pyannote[2334].end |
10969.00034375 |
transcript.pyannote[2335].speaker |
SPEAKER_21 |
transcript.pyannote[2335].start |
10969.13534375 |
transcript.pyannote[2335].end |
10969.57409375 |
transcript.pyannote[2336].speaker |
SPEAKER_23 |
transcript.pyannote[2336].start |
10969.42221875 |
transcript.pyannote[2336].end |
10976.93159375 |
transcript.pyannote[2337].speaker |
SPEAKER_21 |
transcript.pyannote[2337].start |
10976.30721875 |
transcript.pyannote[2337].end |
10976.74596875 |
transcript.pyannote[2338].speaker |
SPEAKER_23 |
transcript.pyannote[2338].start |
10977.30284375 |
transcript.pyannote[2338].end |
10979.90159375 |
transcript.pyannote[2339].speaker |
SPEAKER_23 |
transcript.pyannote[2339].start |
10980.28971875 |
transcript.pyannote[2339].end |
10984.42409375 |
transcript.pyannote[2340].speaker |
SPEAKER_23 |
transcript.pyannote[2340].start |
10984.59284375 |
transcript.pyannote[2340].end |
10985.75721875 |
transcript.pyannote[2341].speaker |
SPEAKER_23 |
transcript.pyannote[2341].start |
10986.73596875 |
transcript.pyannote[2341].end |
10987.57971875 |
transcript.pyannote[2342].speaker |
SPEAKER_23 |
transcript.pyannote[2342].start |
10987.90034375 |
transcript.pyannote[2342].end |
10988.40659375 |
transcript.pyannote[2343].speaker |
SPEAKER_23 |
transcript.pyannote[2343].start |
10988.79471875 |
transcript.pyannote[2343].end |
10993.08096875 |
transcript.pyannote[2344].speaker |
SPEAKER_23 |
transcript.pyannote[2344].start |
10994.09346875 |
transcript.pyannote[2344].end |
10996.84409375 |
transcript.pyannote[2345].speaker |
SPEAKER_23 |
transcript.pyannote[2345].start |
10997.87346875 |
transcript.pyannote[2345].end |
10999.30784375 |
transcript.pyannote[2346].speaker |
SPEAKER_23 |
transcript.pyannote[2346].start |
10999.78034375 |
transcript.pyannote[2346].end |
11000.40471875 |
transcript.pyannote[2347].speaker |
SPEAKER_23 |
transcript.pyannote[2347].start |
11000.53971875 |
transcript.pyannote[2347].end |
11001.63659375 |
transcript.pyannote[2348].speaker |
SPEAKER_23 |
transcript.pyannote[2348].start |
11001.78846875 |
transcript.pyannote[2348].end |
11014.44471875 |
transcript.pyannote[2349].speaker |
SPEAKER_23 |
transcript.pyannote[2349].start |
11015.28846875 |
transcript.pyannote[2349].end |
11015.52471875 |
transcript.pyannote[2350].speaker |
SPEAKER_23 |
transcript.pyannote[2350].start |
11016.57096875 |
transcript.pyannote[2350].end |
11017.44846875 |
transcript.pyannote[2351].speaker |
SPEAKER_23 |
transcript.pyannote[2351].start |
11018.59596875 |
transcript.pyannote[2351].end |
11020.68846875 |
transcript.pyannote[2352].speaker |
SPEAKER_23 |
transcript.pyannote[2352].start |
11022.07221875 |
transcript.pyannote[2352].end |
11024.19846875 |
transcript.pyannote[2353].speaker |
SPEAKER_23 |
transcript.pyannote[2353].start |
11024.87346875 |
transcript.pyannote[2353].end |
11025.14346875 |
transcript.pyannote[2354].speaker |
SPEAKER_23 |
transcript.pyannote[2354].start |
11025.54846875 |
transcript.pyannote[2354].end |
11027.05034375 |
transcript.pyannote[2355].speaker |
SPEAKER_23 |
transcript.pyannote[2355].start |
11027.21909375 |
transcript.pyannote[2355].end |
11033.86784375 |
transcript.pyannote[2356].speaker |
SPEAKER_23 |
transcript.pyannote[2356].start |
11034.27284375 |
transcript.pyannote[2356].end |
11035.63971875 |
transcript.pyannote[2357].speaker |
SPEAKER_23 |
transcript.pyannote[2357].start |
11036.34846875 |
transcript.pyannote[2357].end |
11039.84159375 |
transcript.pyannote[2358].speaker |
SPEAKER_23 |
transcript.pyannote[2358].start |
11040.39846875 |
transcript.pyannote[2358].end |
11045.91659375 |
transcript.pyannote[2359].speaker |
SPEAKER_23 |
transcript.pyannote[2359].start |
11046.38909375 |
transcript.pyannote[2359].end |
11048.76846875 |
transcript.pyannote[2360].speaker |
SPEAKER_23 |
transcript.pyannote[2360].start |
11049.17346875 |
transcript.pyannote[2360].end |
11050.35471875 |
transcript.pyannote[2361].speaker |
SPEAKER_23 |
transcript.pyannote[2361].start |
11050.96221875 |
transcript.pyannote[2361].end |
11055.73784375 |
transcript.pyannote[2362].speaker |
SPEAKER_23 |
transcript.pyannote[2362].start |
11056.12596875 |
transcript.pyannote[2362].end |
11056.85159375 |
transcript.pyannote[2363].speaker |
SPEAKER_21 |
transcript.pyannote[2363].start |
11056.96971875 |
transcript.pyannote[2363].end |
11057.35784375 |
transcript.pyannote[2364].speaker |
SPEAKER_23 |
transcript.pyannote[2364].start |
11057.42534375 |
transcript.pyannote[2364].end |
11064.49596875 |
transcript.pyannote[2365].speaker |
SPEAKER_11 |
transcript.pyannote[2365].start |
11065.28909375 |
transcript.pyannote[2365].end |
11068.54596875 |
transcript.pyannote[2366].speaker |
SPEAKER_11 |
transcript.pyannote[2366].start |
11069.06909375 |
transcript.pyannote[2366].end |
11075.43096875 |
transcript.pyannote[2367].speaker |
SPEAKER_11 |
transcript.pyannote[2367].start |
11075.86971875 |
transcript.pyannote[2367].end |
11083.37909375 |
transcript.pyannote[2368].speaker |
SPEAKER_23 |
transcript.pyannote[2368].start |
11083.37909375 |
transcript.pyannote[2368].end |
11086.06221875 |
transcript.pyannote[2369].speaker |
SPEAKER_23 |
transcript.pyannote[2369].start |
11086.43346875 |
transcript.pyannote[2369].end |
11096.00159375 |
transcript.pyannote[2370].speaker |
SPEAKER_11 |
transcript.pyannote[2370].start |
11090.63534375 |
transcript.pyannote[2370].end |
11090.92221875 |
transcript.pyannote[2371].speaker |
SPEAKER_00 |
transcript.pyannote[2371].start |
11090.92221875 |
transcript.pyannote[2371].end |
11091.58034375 |
transcript.pyannote[2372].speaker |
SPEAKER_23 |
transcript.pyannote[2372].start |
11096.13659375 |
transcript.pyannote[2372].end |
11099.62971875 |
transcript.pyannote[2373].speaker |
SPEAKER_23 |
transcript.pyannote[2373].start |
11100.06846875 |
transcript.pyannote[2373].end |
11104.27034375 |
transcript.pyannote[2374].speaker |
SPEAKER_23 |
transcript.pyannote[2374].start |
11104.70909375 |
transcript.pyannote[2374].end |
11110.42971875 |
transcript.pyannote[2375].speaker |
SPEAKER_23 |
transcript.pyannote[2375].start |
11110.63221875 |
transcript.pyannote[2375].end |
11111.84721875 |
transcript.pyannote[2376].speaker |
SPEAKER_23 |
transcript.pyannote[2376].start |
11112.25221875 |
transcript.pyannote[2376].end |
11114.26034375 |
transcript.pyannote[2377].speaker |
SPEAKER_23 |
transcript.pyannote[2377].start |
11114.93534375 |
transcript.pyannote[2377].end |
11116.26846875 |
transcript.pyannote[2378].speaker |
SPEAKER_23 |
transcript.pyannote[2378].start |
11116.99409375 |
transcript.pyannote[2378].end |
11121.17909375 |
transcript.pyannote[2379].speaker |
SPEAKER_23 |
transcript.pyannote[2379].start |
11121.61784375 |
transcript.pyannote[2379].end |
11124.99284375 |
transcript.pyannote[2380].speaker |
SPEAKER_23 |
transcript.pyannote[2380].start |
11127.32159375 |
transcript.pyannote[2380].end |
11130.96659375 |
transcript.pyannote[2381].speaker |
SPEAKER_23 |
transcript.pyannote[2381].start |
11131.50659375 |
transcript.pyannote[2381].end |
11132.41784375 |
transcript.pyannote[2382].speaker |
SPEAKER_23 |
transcript.pyannote[2382].start |
11132.80596875 |
transcript.pyannote[2382].end |
11133.80159375 |
transcript.pyannote[2383].speaker |
SPEAKER_23 |
transcript.pyannote[2383].start |
11134.18971875 |
transcript.pyannote[2383].end |
11136.85596875 |
transcript.pyannote[2384].speaker |
SPEAKER_23 |
transcript.pyannote[2384].start |
11137.32846875 |
transcript.pyannote[2384].end |
11139.18471875 |
transcript.pyannote[2385].speaker |
SPEAKER_23 |
transcript.pyannote[2385].start |
11139.92721875 |
transcript.pyannote[2385].end |
11140.63596875 |
transcript.pyannote[2386].speaker |
SPEAKER_23 |
transcript.pyannote[2386].start |
11141.51346875 |
transcript.pyannote[2386].end |
11143.01534375 |
transcript.pyannote[2387].speaker |
SPEAKER_23 |
transcript.pyannote[2387].start |
11143.40346875 |
transcript.pyannote[2387].end |
11143.75784375 |
transcript.pyannote[2388].speaker |
SPEAKER_23 |
transcript.pyannote[2388].start |
11144.29784375 |
transcript.pyannote[2388].end |
11146.74471875 |
transcript.pyannote[2389].speaker |
SPEAKER_23 |
transcript.pyannote[2389].start |
11146.96409375 |
transcript.pyannote[2389].end |
11147.63909375 |
transcript.pyannote[2390].speaker |
SPEAKER_23 |
transcript.pyannote[2390].start |
11147.92596875 |
transcript.pyannote[2390].end |
11150.86221875 |
transcript.pyannote[2391].speaker |
SPEAKER_23 |
transcript.pyannote[2391].start |
11151.23346875 |
transcript.pyannote[2391].end |
11151.82409375 |
transcript.pyannote[2392].speaker |
SPEAKER_23 |
transcript.pyannote[2392].start |
11152.14471875 |
transcript.pyannote[2392].end |
11153.37659375 |
transcript.pyannote[2393].speaker |
SPEAKER_11 |
transcript.pyannote[2393].start |
11155.60409375 |
transcript.pyannote[2393].end |
11156.97096875 |
transcript.pyannote[2394].speaker |
SPEAKER_23 |
transcript.pyannote[2394].start |
11156.66721875 |
transcript.pyannote[2394].end |
11158.62471875 |
transcript.pyannote[2395].speaker |
SPEAKER_23 |
transcript.pyannote[2395].start |
11158.81034375 |
transcript.pyannote[2395].end |
11162.60721875 |
transcript.pyannote[2396].speaker |
SPEAKER_23 |
transcript.pyannote[2396].start |
11162.87721875 |
transcript.pyannote[2396].end |
11169.23909375 |
transcript.pyannote[2397].speaker |
SPEAKER_23 |
transcript.pyannote[2397].start |
11169.81284375 |
transcript.pyannote[2397].end |
11180.74784375 |
transcript.pyannote[2398].speaker |
SPEAKER_23 |
transcript.pyannote[2398].start |
11181.13596875 |
transcript.pyannote[2398].end |
11186.45159375 |
transcript.pyannote[2399].speaker |
SPEAKER_23 |
transcript.pyannote[2399].start |
11186.55284375 |
transcript.pyannote[2399].end |
11190.88971875 |
transcript.pyannote[2400].speaker |
SPEAKER_23 |
transcript.pyannote[2400].start |
11191.46346875 |
transcript.pyannote[2400].end |
11194.41659375 |
transcript.pyannote[2401].speaker |
SPEAKER_23 |
transcript.pyannote[2401].start |
11195.36159375 |
transcript.pyannote[2401].end |
11196.49221875 |
transcript.pyannote[2402].speaker |
SPEAKER_23 |
transcript.pyannote[2402].start |
11196.93096875 |
transcript.pyannote[2402].end |
11200.54221875 |
transcript.pyannote[2403].speaker |
SPEAKER_23 |
transcript.pyannote[2403].start |
11201.14971875 |
transcript.pyannote[2403].end |
11202.68534375 |
transcript.pyannote[2404].speaker |
SPEAKER_23 |
transcript.pyannote[2404].start |
11203.10721875 |
transcript.pyannote[2404].end |
11205.67221875 |
transcript.pyannote[2405].speaker |
SPEAKER_11 |
transcript.pyannote[2405].start |
11206.76909375 |
transcript.pyannote[2405].end |
11213.09721875 |
transcript.pyannote[2406].speaker |
SPEAKER_11 |
transcript.pyannote[2406].start |
11213.53596875 |
transcript.pyannote[2406].end |
11219.35784375 |
transcript.pyannote[2407].speaker |
SPEAKER_11 |
transcript.pyannote[2407].start |
11219.89784375 |
transcript.pyannote[2407].end |
11226.46221875 |
transcript.pyannote[2408].speaker |
SPEAKER_23 |
transcript.pyannote[2408].start |
11226.09096875 |
transcript.pyannote[2408].end |
11239.03409375 |
transcript.pyannote[2409].speaker |
SPEAKER_11 |
transcript.pyannote[2409].start |
11239.45596875 |
transcript.pyannote[2409].end |
11239.62471875 |
transcript.pyannote[2410].speaker |
SPEAKER_23 |
transcript.pyannote[2410].start |
11239.52346875 |
transcript.pyannote[2410].end |
11240.48534375 |
transcript.pyannote[2411].speaker |
SPEAKER_11 |
transcript.pyannote[2411].start |
11240.62034375 |
transcript.pyannote[2411].end |
11241.56534375 |
transcript.pyannote[2412].speaker |
SPEAKER_23 |
transcript.pyannote[2412].start |
11241.36284375 |
transcript.pyannote[2412].end |
11244.14721875 |
transcript.pyannote[2413].speaker |
SPEAKER_23 |
transcript.pyannote[2413].start |
11244.58596875 |
transcript.pyannote[2413].end |
11247.30284375 |
transcript.pyannote[2414].speaker |
SPEAKER_23 |
transcript.pyannote[2414].start |
11249.29409375 |
transcript.pyannote[2414].end |
11249.85096875 |
transcript.pyannote[2415].speaker |
SPEAKER_23 |
transcript.pyannote[2415].start |
11250.05346875 |
transcript.pyannote[2415].end |
11260.00971875 |
transcript.pyannote[2416].speaker |
SPEAKER_23 |
transcript.pyannote[2416].start |
11261.14034375 |
transcript.pyannote[2416].end |
11265.17346875 |
transcript.pyannote[2417].speaker |
SPEAKER_23 |
transcript.pyannote[2417].start |
11266.69221875 |
transcript.pyannote[2417].end |
11268.16034375 |
transcript.pyannote[2418].speaker |
SPEAKER_23 |
transcript.pyannote[2418].start |
11268.88596875 |
transcript.pyannote[2418].end |
11270.69159375 |
transcript.pyannote[2419].speaker |
SPEAKER_23 |
transcript.pyannote[2419].start |
11271.85596875 |
transcript.pyannote[2419].end |
11275.61909375 |
transcript.pyannote[2420].speaker |
SPEAKER_23 |
transcript.pyannote[2420].start |
11276.36159375 |
transcript.pyannote[2420].end |
11278.97721875 |
transcript.pyannote[2421].speaker |
SPEAKER_23 |
transcript.pyannote[2421].start |
11279.58471875 |
transcript.pyannote[2421].end |
11280.36096875 |
transcript.pyannote[2422].speaker |
SPEAKER_23 |
transcript.pyannote[2422].start |
11280.64784375 |
transcript.pyannote[2422].end |
11280.90096875 |
transcript.pyannote[2423].speaker |
SPEAKER_23 |
transcript.pyannote[2423].start |
11281.18784375 |
transcript.pyannote[2423].end |
11282.72346875 |
transcript.pyannote[2424].speaker |
SPEAKER_23 |
transcript.pyannote[2424].start |
11283.61784375 |
transcript.pyannote[2424].end |
11285.18721875 |
transcript.pyannote[2425].speaker |
SPEAKER_23 |
transcript.pyannote[2425].start |
11285.65971875 |
transcript.pyannote[2425].end |
11286.16596875 |
transcript.pyannote[2426].speaker |
SPEAKER_23 |
transcript.pyannote[2426].start |
11286.80721875 |
transcript.pyannote[2426].end |
11293.94534375 |
transcript.pyannote[2427].speaker |
SPEAKER_23 |
transcript.pyannote[2427].start |
11295.61596875 |
transcript.pyannote[2427].end |
11296.76346875 |
transcript.pyannote[2428].speaker |
SPEAKER_23 |
transcript.pyannote[2428].start |
11297.80971875 |
transcript.pyannote[2428].end |
11298.06284375 |
transcript.pyannote[2429].speaker |
SPEAKER_23 |
transcript.pyannote[2429].start |
11298.68721875 |
transcript.pyannote[2429].end |
11302.75409375 |
transcript.pyannote[2430].speaker |
SPEAKER_23 |
transcript.pyannote[2430].start |
11302.80471875 |
transcript.pyannote[2430].end |
11304.93096875 |
transcript.pyannote[2431].speaker |
SPEAKER_23 |
transcript.pyannote[2431].start |
11306.16284375 |
transcript.pyannote[2431].end |
11306.87159375 |
transcript.pyannote[2432].speaker |
SPEAKER_23 |
transcript.pyannote[2432].start |
11308.32284375 |
transcript.pyannote[2432].end |
11310.22971875 |
transcript.pyannote[2433].speaker |
SPEAKER_23 |
transcript.pyannote[2433].start |
11311.22534375 |
transcript.pyannote[2433].end |
11313.08159375 |
transcript.pyannote[2434].speaker |
SPEAKER_23 |
transcript.pyannote[2434].start |
11314.43159375 |
transcript.pyannote[2434].end |
11315.98409375 |
transcript.pyannote[2435].speaker |
SPEAKER_23 |
transcript.pyannote[2435].start |
11316.30471875 |
transcript.pyannote[2435].end |
11317.08096875 |
transcript.pyannote[2436].speaker |
SPEAKER_23 |
transcript.pyannote[2436].start |
11317.50284375 |
transcript.pyannote[2436].end |
11330.81721875 |
transcript.pyannote[2437].speaker |
SPEAKER_21 |
transcript.pyannote[2437].start |
11323.96596875 |
transcript.pyannote[2437].end |
11324.01659375 |
transcript.pyannote[2438].speaker |
SPEAKER_23 |
transcript.pyannote[2438].start |
11331.62721875 |
transcript.pyannote[2438].end |
11332.30221875 |
transcript.pyannote[2439].speaker |
SPEAKER_11 |
transcript.pyannote[2439].start |
11332.43721875 |
transcript.pyannote[2439].end |
11353.88534375 |
transcript.pyannote[2440].speaker |
SPEAKER_23 |
transcript.pyannote[2440].start |
11351.72534375 |
transcript.pyannote[2440].end |
11352.82221875 |
transcript.pyannote[2441].speaker |
SPEAKER_23 |
transcript.pyannote[2441].start |
11352.88971875 |
transcript.pyannote[2441].end |
11355.45471875 |
transcript.pyannote[2442].speaker |
SPEAKER_23 |
transcript.pyannote[2442].start |
11355.91034375 |
transcript.pyannote[2442].end |
11357.59784375 |
transcript.pyannote[2443].speaker |
SPEAKER_11 |
transcript.pyannote[2443].start |
11357.49659375 |
transcript.pyannote[2443].end |
11357.54721875 |
transcript.pyannote[2444].speaker |
SPEAKER_11 |
transcript.pyannote[2444].start |
11357.59784375 |
transcript.pyannote[2444].end |
11381.39159375 |
transcript.pyannote[2445].speaker |
SPEAKER_23 |
transcript.pyannote[2445].start |
11381.89784375 |
transcript.pyannote[2445].end |
11394.18284375 |
transcript.pyannote[2446].speaker |
SPEAKER_23 |
transcript.pyannote[2446].start |
11394.55409375 |
transcript.pyannote[2446].end |
11394.97596875 |
transcript.pyannote[2447].speaker |
SPEAKER_23 |
transcript.pyannote[2447].start |
11396.44409375 |
transcript.pyannote[2447].end |
11402.24909375 |
transcript.pyannote[2448].speaker |
SPEAKER_23 |
transcript.pyannote[2448].start |
11402.55284375 |
transcript.pyannote[2448].end |
11412.12096875 |
transcript.pyannote[2449].speaker |
SPEAKER_23 |
transcript.pyannote[2449].start |
11412.40784375 |
transcript.pyannote[2449].end |
11412.88034375 |
transcript.pyannote[2450].speaker |
SPEAKER_06 |
transcript.pyannote[2450].start |
11412.96471875 |
transcript.pyannote[2450].end |
11413.21784375 |
transcript.pyannote[2451].speaker |
SPEAKER_23 |
transcript.pyannote[2451].start |
11413.21784375 |
transcript.pyannote[2451].end |
11414.92221875 |
transcript.pyannote[2452].speaker |
SPEAKER_06 |
transcript.pyannote[2452].start |
11415.88409375 |
transcript.pyannote[2452].end |
11418.33096875 |
transcript.pyannote[2453].speaker |
SPEAKER_06 |
transcript.pyannote[2453].start |
11419.07346875 |
transcript.pyannote[2453].end |
11422.41471875 |
transcript.pyannote[2454].speaker |
SPEAKER_04 |
transcript.pyannote[2454].start |
11431.71284375 |
transcript.pyannote[2454].end |
11432.97846875 |
transcript.pyannote[2455].speaker |
SPEAKER_06 |
transcript.pyannote[2455].start |
11432.97846875 |
transcript.pyannote[2455].end |
11437.53471875 |
transcript.pyannote[2456].speaker |
SPEAKER_04 |
transcript.pyannote[2456].start |
11441.55096875 |
transcript.pyannote[2456].end |
11444.06534375 |
transcript.pyannote[2457].speaker |
SPEAKER_04 |
transcript.pyannote[2457].start |
11444.82471875 |
transcript.pyannote[2457].end |
11452.13159375 |
transcript.pyannote[2458].speaker |
SPEAKER_04 |
transcript.pyannote[2458].start |
11452.57034375 |
transcript.pyannote[2458].end |
11462.20596875 |
transcript.pyannote[2459].speaker |
SPEAKER_11 |
transcript.pyannote[2459].start |
11464.04534375 |
transcript.pyannote[2459].end |
11464.63596875 |
transcript.pyannote[2460].speaker |
SPEAKER_04 |
transcript.pyannote[2460].start |
11465.09159375 |
transcript.pyannote[2460].end |
11465.83409375 |
transcript.pyannote[2461].speaker |
SPEAKER_11 |
transcript.pyannote[2461].start |
11465.83409375 |
transcript.pyannote[2461].end |
11466.32346875 |
transcript.pyannote[2462].speaker |
SPEAKER_11 |
transcript.pyannote[2462].start |
11466.69471875 |
transcript.pyannote[2462].end |
11469.49596875 |
transcript.pyannote[2463].speaker |
SPEAKER_04 |
transcript.pyannote[2463].start |
11466.76221875 |
transcript.pyannote[2463].end |
11475.08159375 |
transcript.pyannote[2464].speaker |
SPEAKER_11 |
transcript.pyannote[2464].start |
11469.69846875 |
transcript.pyannote[2464].end |
11470.40721875 |
transcript.pyannote[2465].speaker |
SPEAKER_04 |
transcript.pyannote[2465].start |
11476.80284375 |
transcript.pyannote[2465].end |
11480.65034375 |
transcript.pyannote[2466].speaker |
SPEAKER_04 |
transcript.pyannote[2466].start |
11480.85284375 |
transcript.pyannote[2466].end |
11506.95846875 |
transcript.pyannote[2467].speaker |
SPEAKER_04 |
transcript.pyannote[2467].start |
11507.22846875 |
transcript.pyannote[2467].end |
11528.91284375 |
transcript.pyannote[2468].speaker |
SPEAKER_11 |
transcript.pyannote[2468].start |
11530.11096875 |
transcript.pyannote[2468].end |
11535.03846875 |
transcript.pyannote[2469].speaker |
SPEAKER_11 |
transcript.pyannote[2469].start |
11535.24096875 |
transcript.pyannote[2469].end |
11535.37596875 |
transcript.pyannote[2470].speaker |
SPEAKER_04 |
transcript.pyannote[2470].start |
11535.71346875 |
transcript.pyannote[2470].end |
11568.75471875 |
transcript.pyannote[2471].speaker |
SPEAKER_04 |
transcript.pyannote[2471].start |
11568.99096875 |
transcript.pyannote[2471].end |
11572.14659375 |
transcript.pyannote[2472].speaker |
SPEAKER_04 |
transcript.pyannote[2472].start |
11572.88909375 |
transcript.pyannote[2472].end |
11591.65409375 |
transcript.pyannote[2473].speaker |
SPEAKER_04 |
transcript.pyannote[2473].start |
11592.68346875 |
transcript.pyannote[2473].end |
11603.23034375 |
transcript.pyannote[2474].speaker |
SPEAKER_04 |
transcript.pyannote[2474].start |
11603.53409375 |
transcript.pyannote[2474].end |
11632.22159375 |
transcript.pyannote[2475].speaker |
SPEAKER_04 |
transcript.pyannote[2475].start |
11634.38159375 |
transcript.pyannote[2475].end |
11636.65971875 |
transcript.pyannote[2476].speaker |
SPEAKER_21 |
transcript.pyannote[2476].start |
11635.79909375 |
transcript.pyannote[2476].end |
11636.81159375 |
transcript.pyannote[2477].speaker |
SPEAKER_04 |
transcript.pyannote[2477].start |
11637.28409375 |
transcript.pyannote[2477].end |
11637.67221875 |
transcript.pyannote[2478].speaker |
SPEAKER_21 |
transcript.pyannote[2478].start |
11637.80721875 |
transcript.pyannote[2478].end |
11638.41471875 |
transcript.pyannote[2479].speaker |
SPEAKER_04 |
transcript.pyannote[2479].start |
11638.68471875 |
transcript.pyannote[2479].end |
11643.37596875 |
transcript.pyannote[2480].speaker |
SPEAKER_04 |
transcript.pyannote[2480].start |
11644.20284375 |
transcript.pyannote[2480].end |
11650.26096875 |
transcript.pyannote[2481].speaker |
SPEAKER_04 |
transcript.pyannote[2481].start |
11650.78409375 |
transcript.pyannote[2481].end |
11653.06221875 |
transcript.pyannote[2482].speaker |
SPEAKER_04 |
transcript.pyannote[2482].start |
11654.17596875 |
transcript.pyannote[2482].end |
11665.68471875 |
transcript.pyannote[2483].speaker |
SPEAKER_04 |
transcript.pyannote[2483].start |
11666.41034375 |
transcript.pyannote[2483].end |
11688.70221875 |
transcript.pyannote[2484].speaker |
SPEAKER_04 |
transcript.pyannote[2484].start |
11689.44471875 |
transcript.pyannote[2484].end |
11695.99221875 |
transcript.pyannote[2485].speaker |
SPEAKER_04 |
transcript.pyannote[2485].start |
11696.68409375 |
transcript.pyannote[2485].end |
11718.50346875 |
transcript.pyannote[2486].speaker |
SPEAKER_04 |
transcript.pyannote[2486].start |
11718.60471875 |
transcript.pyannote[2486].end |
11748.96284375 |
transcript.pyannote[2487].speaker |
SPEAKER_04 |
transcript.pyannote[2487].start |
11750.05971875 |
transcript.pyannote[2487].end |
11757.78846875 |
transcript.pyannote[2488].speaker |
SPEAKER_11 |
transcript.pyannote[2488].start |
11756.35409375 |
transcript.pyannote[2488].end |
11762.24346875 |
transcript.pyannote[2489].speaker |
SPEAKER_04 |
transcript.pyannote[2489].start |
11761.95659375 |
transcript.pyannote[2489].end |
11767.13721875 |
transcript.pyannote[2490].speaker |
SPEAKER_04 |
transcript.pyannote[2490].start |
11767.77846875 |
transcript.pyannote[2490].end |
11771.60909375 |
transcript.pyannote[2491].speaker |
SPEAKER_11 |
transcript.pyannote[2491].start |
11771.60909375 |
transcript.pyannote[2491].end |
11772.13221875 |
transcript.pyannote[2492].speaker |
SPEAKER_04 |
transcript.pyannote[2492].start |
11772.13221875 |
transcript.pyannote[2492].end |
11773.39784375 |
transcript.pyannote[2493].speaker |
SPEAKER_11 |
transcript.pyannote[2493].start |
11772.18284375 |
transcript.pyannote[2493].end |
11772.82409375 |
transcript.pyannote[2494].speaker |
SPEAKER_11 |
transcript.pyannote[2494].start |
11772.89159375 |
transcript.pyannote[2494].end |
11772.90846875 |
transcript.pyannote[2495].speaker |
SPEAKER_11 |
transcript.pyannote[2495].start |
11773.02659375 |
transcript.pyannote[2495].end |
11778.69659375 |
transcript.pyannote[2496].speaker |
SPEAKER_04 |
transcript.pyannote[2496].start |
11773.60034375 |
transcript.pyannote[2496].end |
11774.29221875 |
transcript.pyannote[2497].speaker |
SPEAKER_11 |
transcript.pyannote[2497].start |
11780.35034375 |
transcript.pyannote[2497].end |
11780.65409375 |
transcript.pyannote[2498].speaker |
SPEAKER_04 |
transcript.pyannote[2498].start |
11781.29534375 |
transcript.pyannote[2498].end |
11781.31221875 |
transcript.pyannote[2499].speaker |
SPEAKER_24 |
transcript.pyannote[2499].start |
11781.31221875 |
transcript.pyannote[2499].end |
11781.32909375 |
transcript.pyannote[2500].speaker |
SPEAKER_04 |
transcript.pyannote[2500].start |
11781.32909375 |
transcript.pyannote[2500].end |
11781.86909375 |
transcript.pyannote[2501].speaker |
SPEAKER_11 |
transcript.pyannote[2501].start |
11781.86909375 |
transcript.pyannote[2501].end |
11782.07159375 |
transcript.pyannote[2502].speaker |
SPEAKER_04 |
transcript.pyannote[2502].start |
11782.07159375 |
transcript.pyannote[2502].end |
11782.12221875 |
transcript.pyannote[2503].speaker |
SPEAKER_24 |
transcript.pyannote[2503].start |
11782.12221875 |
transcript.pyannote[2503].end |
11782.57784375 |
transcript.pyannote[2504].speaker |
SPEAKER_04 |
transcript.pyannote[2504].start |
11782.57784375 |
transcript.pyannote[2504].end |
11782.61159375 |
transcript.pyannote[2505].speaker |
SPEAKER_24 |
transcript.pyannote[2505].start |
11782.61159375 |
transcript.pyannote[2505].end |
11785.83471875 |
transcript.pyannote[2506].speaker |
SPEAKER_04 |
transcript.pyannote[2506].start |
11784.72096875 |
transcript.pyannote[2506].end |
11787.15096875 |
transcript.pyannote[2507].speaker |
SPEAKER_24 |
transcript.pyannote[2507].start |
11786.76284375 |
transcript.pyannote[2507].end |
11797.19159375 |
transcript.pyannote[2508].speaker |
SPEAKER_04 |
transcript.pyannote[2508].start |
11795.25096875 |
transcript.pyannote[2508].end |
11801.05596875 |
transcript.pyannote[2509].speaker |
SPEAKER_24 |
transcript.pyannote[2509].start |
11800.56659375 |
transcript.pyannote[2509].end |
11801.32596875 |
transcript.pyannote[2510].speaker |
SPEAKER_21 |
transcript.pyannote[2510].start |
11801.32596875 |
transcript.pyannote[2510].end |
11801.79846875 |
transcript.pyannote[2511].speaker |
SPEAKER_24 |
transcript.pyannote[2511].start |
11801.79846875 |
transcript.pyannote[2511].end |
11807.99159375 |
transcript.pyannote[2512].speaker |
SPEAKER_04 |
transcript.pyannote[2512].start |
11808.32909375 |
transcript.pyannote[2512].end |
11808.80159375 |
transcript.pyannote[2513].speaker |
SPEAKER_04 |
transcript.pyannote[2513].start |
11809.24034375 |
transcript.pyannote[2513].end |
11818.84221875 |
transcript.pyannote[2514].speaker |
SPEAKER_24 |
transcript.pyannote[2514].start |
11813.10471875 |
transcript.pyannote[2514].end |
11813.62784375 |
transcript.pyannote[2515].speaker |
SPEAKER_24 |
transcript.pyannote[2515].start |
11813.66159375 |
transcript.pyannote[2515].end |
11813.83034375 |
transcript.pyannote[2516].speaker |
SPEAKER_24 |
transcript.pyannote[2516].start |
11813.89784375 |
transcript.pyannote[2516].end |
11813.91471875 |
transcript.pyannote[2517].speaker |
SPEAKER_04 |
transcript.pyannote[2517].start |
11819.14596875 |
transcript.pyannote[2517].end |
11856.32159375 |
transcript.pyannote[2518].speaker |
SPEAKER_04 |
transcript.pyannote[2518].start |
11856.65909375 |
transcript.pyannote[2518].end |
11897.76659375 |
transcript.pyannote[2519].speaker |
SPEAKER_04 |
transcript.pyannote[2519].start |
11898.35721875 |
transcript.pyannote[2519].end |
11980.70721875 |
transcript.pyannote[2520].speaker |
SPEAKER_00 |
transcript.pyannote[2520].start |
11955.29346875 |
transcript.pyannote[2520].end |
11955.96846875 |
transcript.pyannote[2521].speaker |
SPEAKER_04 |
transcript.pyannote[2521].start |
11981.04471875 |
transcript.pyannote[2521].end |
11982.05721875 |
transcript.pyannote[2522].speaker |
SPEAKER_04 |
transcript.pyannote[2522].start |
11982.49596875 |
transcript.pyannote[2522].end |
11984.06534375 |
transcript.pyannote[2523].speaker |
SPEAKER_04 |
transcript.pyannote[2523].start |
11984.63909375 |
transcript.pyannote[2523].end |
11998.76346875 |
transcript.pyannote[2524].speaker |
SPEAKER_04 |
transcript.pyannote[2524].start |
11999.30346875 |
transcript.pyannote[2524].end |
11999.92784375 |
transcript.pyannote[2525].speaker |
SPEAKER_04 |
transcript.pyannote[2525].start |
12000.45096875 |
transcript.pyannote[2525].end |
12002.88096875 |
transcript.pyannote[2526].speaker |
SPEAKER_04 |
transcript.pyannote[2526].start |
12003.13409375 |
transcript.pyannote[2526].end |
12003.16784375 |
transcript.pyannote[2527].speaker |
SPEAKER_21 |
transcript.pyannote[2527].start |
12003.16784375 |
transcript.pyannote[2527].end |
12003.43784375 |
transcript.pyannote[2528].speaker |
SPEAKER_04 |
transcript.pyannote[2528].start |
12003.64034375 |
transcript.pyannote[2528].end |
12004.53471875 |
transcript.pyannote[2529].speaker |
SPEAKER_04 |
transcript.pyannote[2529].start |
12005.63159375 |
transcript.pyannote[2529].end |
12007.67346875 |
transcript.pyannote[2530].speaker |
SPEAKER_04 |
transcript.pyannote[2530].start |
12008.24721875 |
transcript.pyannote[2530].end |
12012.53346875 |
transcript.pyannote[2531].speaker |
SPEAKER_04 |
transcript.pyannote[2531].start |
12013.34346875 |
transcript.pyannote[2531].end |
12016.58346875 |
transcript.pyannote[2532].speaker |
SPEAKER_04 |
transcript.pyannote[2532].start |
12017.12346875 |
transcript.pyannote[2532].end |
12018.99659375 |
transcript.pyannote[2533].speaker |
SPEAKER_04 |
transcript.pyannote[2533].start |
12019.46909375 |
transcript.pyannote[2533].end |
12028.49721875 |
transcript.pyannote[2534].speaker |
SPEAKER_11 |
transcript.pyannote[2534].start |
12030.67409375 |
transcript.pyannote[2534].end |
12030.92721875 |
transcript.pyannote[2535].speaker |
SPEAKER_11 |
transcript.pyannote[2535].start |
12030.96096875 |
transcript.pyannote[2535].end |
12030.97784375 |
transcript.pyannote[2536].speaker |
SPEAKER_04 |
transcript.pyannote[2536].start |
12031.50096875 |
transcript.pyannote[2536].end |
12031.87221875 |
transcript.pyannote[2537].speaker |
SPEAKER_11 |
transcript.pyannote[2537].start |
12031.87221875 |
transcript.pyannote[2537].end |
12032.76659375 |
transcript.pyannote[2538].speaker |
SPEAKER_11 |
transcript.pyannote[2538].start |
12033.17159375 |
transcript.pyannote[2538].end |
12036.04034375 |
transcript.pyannote[2539].speaker |
SPEAKER_04 |
transcript.pyannote[2539].start |
12033.52596875 |
transcript.pyannote[2539].end |
12033.98159375 |
transcript.pyannote[2540].speaker |
SPEAKER_11 |
transcript.pyannote[2540].start |
12036.24284375 |
transcript.pyannote[2540].end |
12038.82471875 |
transcript.pyannote[2541].speaker |
SPEAKER_11 |
transcript.pyannote[2541].start |
12038.97659375 |
transcript.pyannote[2541].end |
12045.28784375 |
transcript.pyannote[2542].speaker |
SPEAKER_04 |
transcript.pyannote[2542].start |
12039.19596875 |
transcript.pyannote[2542].end |
12039.78659375 |
transcript.pyannote[2543].speaker |
SPEAKER_04 |
transcript.pyannote[2543].start |
12045.42284375 |
transcript.pyannote[2543].end |
12057.79221875 |
transcript.pyannote[2544].speaker |
SPEAKER_00 |
transcript.pyannote[2544].start |
12053.99534375 |
transcript.pyannote[2544].end |
12054.21471875 |
transcript.pyannote[2545].speaker |
SPEAKER_00 |
transcript.pyannote[2545].start |
12055.46346875 |
transcript.pyannote[2545].end |
12056.76284375 |
transcript.pyannote[2546].speaker |
SPEAKER_04 |
transcript.pyannote[2546].start |
12057.97784375 |
transcript.pyannote[2546].end |
12074.34659375 |
transcript.pyannote[2547].speaker |
SPEAKER_04 |
transcript.pyannote[2547].start |
12074.54909375 |
transcript.pyannote[2547].end |
12090.79971875 |
transcript.pyannote[2548].speaker |
SPEAKER_02 |
transcript.pyannote[2548].start |
12090.73221875 |
transcript.pyannote[2548].end |
12090.76596875 |
transcript.pyannote[2549].speaker |
SPEAKER_02 |
transcript.pyannote[2549].start |
12090.79971875 |
transcript.pyannote[2549].end |
12091.08659375 |
transcript.pyannote[2550].speaker |
SPEAKER_04 |
transcript.pyannote[2550].start |
12091.15409375 |
transcript.pyannote[2550].end |
12103.33784375 |
transcript.pyannote[2551].speaker |
SPEAKER_04 |
transcript.pyannote[2551].start |
12103.96221875 |
transcript.pyannote[2551].end |
12107.69159375 |
transcript.pyannote[2552].speaker |
SPEAKER_04 |
transcript.pyannote[2552].start |
12109.61534375 |
transcript.pyannote[2552].end |
12111.87659375 |
transcript.pyannote[2553].speaker |
SPEAKER_04 |
transcript.pyannote[2553].start |
12111.96096875 |
transcript.pyannote[2553].end |
12114.07034375 |
transcript.pyannote[2554].speaker |
SPEAKER_04 |
transcript.pyannote[2554].start |
12114.20534375 |
transcript.pyannote[2554].end |
12119.72346875 |
transcript.pyannote[2555].speaker |
SPEAKER_04 |
transcript.pyannote[2555].start |
12120.31409375 |
transcript.pyannote[2555].end |
12122.47409375 |
transcript.pyannote[2556].speaker |
SPEAKER_04 |
transcript.pyannote[2556].start |
12123.38534375 |
transcript.pyannote[2556].end |
12127.78971875 |
transcript.pyannote[2557].speaker |
SPEAKER_04 |
transcript.pyannote[2557].start |
12128.44784375 |
transcript.pyannote[2557].end |
12134.33721875 |
transcript.pyannote[2558].speaker |
SPEAKER_04 |
transcript.pyannote[2558].start |
12134.79284375 |
transcript.pyannote[2558].end |
12139.68659375 |
transcript.pyannote[2559].speaker |
SPEAKER_04 |
transcript.pyannote[2559].start |
12140.37846875 |
transcript.pyannote[2559].end |
12146.31846875 |
transcript.pyannote[2560].speaker |
SPEAKER_04 |
transcript.pyannote[2560].start |
12146.79096875 |
transcript.pyannote[2560].end |
12169.47096875 |
transcript.pyannote[2561].speaker |
SPEAKER_06 |
transcript.pyannote[2561].start |
12170.51721875 |
transcript.pyannote[2561].end |
12172.15409375 |
transcript.pyannote[2562].speaker |
SPEAKER_04 |
transcript.pyannote[2562].start |
12171.51284375 |
transcript.pyannote[2562].end |
12192.67409375 |
transcript.pyannote[2563].speaker |
SPEAKER_04 |
transcript.pyannote[2563].start |
12192.94409375 |
transcript.pyannote[2563].end |
12215.72534375 |
transcript.pyannote[2564].speaker |
SPEAKER_04 |
transcript.pyannote[2564].start |
12215.97846875 |
transcript.pyannote[2564].end |
12238.10159375 |
transcript.pyannote[2565].speaker |
SPEAKER_04 |
transcript.pyannote[2565].start |
12238.72596875 |
transcript.pyannote[2565].end |
12254.47034375 |
transcript.pyannote[2566].speaker |
SPEAKER_04 |
transcript.pyannote[2566].start |
12255.14534375 |
transcript.pyannote[2566].end |
12256.14096875 |
transcript.pyannote[2567].speaker |
SPEAKER_11 |
transcript.pyannote[2567].start |
12256.90034375 |
transcript.pyannote[2567].end |
12259.68471875 |
transcript.pyannote[2568].speaker |
SPEAKER_11 |
transcript.pyannote[2568].start |
12260.29221875 |
transcript.pyannote[2568].end |
12262.03034375 |
transcript.pyannote[2569].speaker |
SPEAKER_11 |
transcript.pyannote[2569].start |
12262.73909375 |
transcript.pyannote[2569].end |
12263.22846875 |
transcript.pyannote[2570].speaker |
SPEAKER_04 |
transcript.pyannote[2570].start |
12262.85721875 |
transcript.pyannote[2570].end |
12267.05909375 |
transcript.pyannote[2571].speaker |
SPEAKER_11 |
transcript.pyannote[2571].start |
12267.31221875 |
transcript.pyannote[2571].end |
12270.78846875 |
transcript.pyannote[2572].speaker |
SPEAKER_04 |
transcript.pyannote[2572].start |
12270.97409375 |
transcript.pyannote[2572].end |
12271.66596875 |
transcript.pyannote[2573].speaker |
SPEAKER_11 |
transcript.pyannote[2573].start |
12271.75034375 |
transcript.pyannote[2573].end |
12272.79659375 |
transcript.pyannote[2574].speaker |
SPEAKER_04 |
transcript.pyannote[2574].start |
12273.06659375 |
transcript.pyannote[2574].end |
12275.63159375 |
transcript.pyannote[2575].speaker |
SPEAKER_11 |
transcript.pyannote[2575].start |
12275.31096875 |
transcript.pyannote[2575].end |
12277.52159375 |
transcript.pyannote[2576].speaker |
SPEAKER_04 |
transcript.pyannote[2576].start |
12277.52159375 |
transcript.pyannote[2576].end |
12282.75284375 |
transcript.pyannote[2577].speaker |
SPEAKER_11 |
transcript.pyannote[2577].start |
12277.53846875 |
transcript.pyannote[2577].end |
12277.97721875 |
transcript.pyannote[2578].speaker |
SPEAKER_24 |
transcript.pyannote[2578].start |
12277.97721875 |
transcript.pyannote[2578].end |
12278.19659375 |
transcript.pyannote[2579].speaker |
SPEAKER_04 |
transcript.pyannote[2579].start |
12283.20846875 |
transcript.pyannote[2579].end |
12284.44034375 |
transcript.pyannote[2580].speaker |
SPEAKER_04 |
transcript.pyannote[2580].start |
12284.84534375 |
transcript.pyannote[2580].end |
12286.29659375 |
transcript.pyannote[2581].speaker |
SPEAKER_04 |
transcript.pyannote[2581].start |
12288.01784375 |
transcript.pyannote[2581].end |
12288.59159375 |
transcript.pyannote[2582].speaker |
SPEAKER_11 |
transcript.pyannote[2582].start |
12289.92471875 |
transcript.pyannote[2582].end |
12293.78909375 |
transcript.pyannote[2583].speaker |
SPEAKER_04 |
transcript.pyannote[2583].start |
12293.78909375 |
transcript.pyannote[2583].end |
12301.66971875 |
transcript.pyannote[2584].speaker |
SPEAKER_04 |
transcript.pyannote[2584].start |
12301.88909375 |
transcript.pyannote[2584].end |
12317.32971875 |
transcript.pyannote[2585].speaker |
SPEAKER_04 |
transcript.pyannote[2585].start |
12318.89909375 |
transcript.pyannote[2585].end |
12319.43909375 |
transcript.pyannote[2586].speaker |
SPEAKER_11 |
transcript.pyannote[2586].start |
12320.41784375 |
transcript.pyannote[2586].end |
12321.02534375 |
transcript.pyannote[2587].speaker |
SPEAKER_06 |
transcript.pyannote[2587].start |
12321.02534375 |
transcript.pyannote[2587].end |
12321.49784375 |
transcript.pyannote[2588].speaker |
SPEAKER_11 |
transcript.pyannote[2588].start |
12321.49784375 |
transcript.pyannote[2588].end |
12321.53159375 |
transcript.pyannote[2589].speaker |
SPEAKER_04 |
transcript.pyannote[2589].start |
12321.86909375 |
transcript.pyannote[2589].end |
12323.37096875 |
transcript.pyannote[2590].speaker |
SPEAKER_06 |
transcript.pyannote[2590].start |
12324.97409375 |
transcript.pyannote[2590].end |
12325.37909375 |
transcript.pyannote[2591].speaker |
SPEAKER_06 |
transcript.pyannote[2591].start |
12325.66596875 |
transcript.pyannote[2591].end |
12330.64409375 |
transcript.pyannote[2592].speaker |
SPEAKER_05 |
transcript.pyannote[2592].start |
12331.16721875 |
transcript.pyannote[2592].end |
12336.04409375 |
transcript.pyannote[2593].speaker |
SPEAKER_05 |
transcript.pyannote[2593].start |
12336.38159375 |
transcript.pyannote[2593].end |
12386.53409375 |
transcript.pyannote[2594].speaker |
SPEAKER_05 |
transcript.pyannote[2594].start |
12386.88846875 |
transcript.pyannote[2594].end |
12391.29284375 |
transcript.pyannote[2595].speaker |
SPEAKER_05 |
transcript.pyannote[2595].start |
12391.63034375 |
transcript.pyannote[2595].end |
12392.28846875 |
transcript.pyannote[2596].speaker |
SPEAKER_05 |
transcript.pyannote[2596].start |
12392.62596875 |
transcript.pyannote[2596].end |
12406.64909375 |
transcript.pyannote[2597].speaker |
SPEAKER_05 |
transcript.pyannote[2597].start |
12407.18909375 |
transcript.pyannote[2597].end |
12415.30596875 |
transcript.pyannote[2598].speaker |
SPEAKER_05 |
transcript.pyannote[2598].start |
12416.35221875 |
transcript.pyannote[2598].end |
12434.52659375 |
transcript.pyannote[2599].speaker |
SPEAKER_05 |
transcript.pyannote[2599].start |
12434.91471875 |
transcript.pyannote[2599].end |
12438.12096875 |
transcript.pyannote[2600].speaker |
SPEAKER_05 |
transcript.pyannote[2600].start |
12438.28971875 |
transcript.pyannote[2600].end |
12439.04909375 |
transcript.pyannote[2601].speaker |
SPEAKER_05 |
transcript.pyannote[2601].start |
12439.48784375 |
transcript.pyannote[2601].end |
12480.24096875 |
transcript.pyannote[2602].speaker |
SPEAKER_05 |
transcript.pyannote[2602].start |
12480.59534375 |
transcript.pyannote[2602].end |
12484.17284375 |
transcript.pyannote[2603].speaker |
SPEAKER_05 |
transcript.pyannote[2603].start |
12484.76346875 |
transcript.pyannote[2603].end |
12565.24034375 |
transcript.pyannote[2604].speaker |
SPEAKER_05 |
transcript.pyannote[2604].start |
12566.06721875 |
transcript.pyannote[2604].end |
12582.97596875 |
transcript.pyannote[2605].speaker |
SPEAKER_06 |
transcript.pyannote[2605].start |
12582.97596875 |
transcript.pyannote[2605].end |
12583.16159375 |
transcript.pyannote[2606].speaker |
SPEAKER_06 |
transcript.pyannote[2606].start |
12583.71846875 |
transcript.pyannote[2606].end |
12589.15221875 |
transcript.pyannote[2607].speaker |
SPEAKER_24 |
transcript.pyannote[2607].start |
12594.88971875 |
transcript.pyannote[2607].end |
12686.60534375 |
transcript.pyannote[2608].speaker |
SPEAKER_00 |
transcript.pyannote[2608].start |
12671.78909375 |
transcript.pyannote[2608].end |
12671.87346875 |
transcript.pyannote[2609].speaker |
SPEAKER_06 |
transcript.pyannote[2609].start |
12687.41534375 |
transcript.pyannote[2609].end |
12690.80721875 |
transcript.pyannote[2610].speaker |
SPEAKER_24 |
transcript.pyannote[2610].start |
12689.86221875 |
transcript.pyannote[2610].end |
12689.96346875 |
transcript.pyannote[2611].speaker |
SPEAKER_06 |
transcript.pyannote[2611].start |
12691.33034375 |
transcript.pyannote[2611].end |
12691.90409375 |
transcript.pyannote[2612].speaker |
SPEAKER_06 |
transcript.pyannote[2612].start |
12692.25846875 |
transcript.pyannote[2612].end |
12694.09784375 |
transcript.pyannote[2613].speaker |
SPEAKER_24 |
transcript.pyannote[2613].start |
12694.63784375 |
transcript.pyannote[2613].end |
12708.13784375 |
transcript.pyannote[2614].speaker |
SPEAKER_24 |
transcript.pyannote[2614].start |
12709.09971875 |
transcript.pyannote[2614].end |
12732.08346875 |
transcript.pyannote[2615].speaker |
SPEAKER_24 |
transcript.pyannote[2615].start |
12733.72034375 |
transcript.pyannote[2615].end |
12734.04096875 |
transcript.pyannote[2616].speaker |
SPEAKER_24 |
transcript.pyannote[2616].start |
12734.20971875 |
transcript.pyannote[2616].end |
12735.66096875 |
transcript.pyannote[2617].speaker |
SPEAKER_06 |
transcript.pyannote[2617].start |
12736.11659375 |
transcript.pyannote[2617].end |
12737.28096875 |
transcript.pyannote[2618].speaker |
SPEAKER_24 |
transcript.pyannote[2618].start |
12738.34409375 |
transcript.pyannote[2618].end |
12738.66471875 |
transcript.pyannote[2619].speaker |
SPEAKER_13 |
transcript.pyannote[2619].start |
12740.70659375 |
transcript.pyannote[2619].end |
12740.89221875 |
transcript.pyannote[2620].speaker |
SPEAKER_24 |
transcript.pyannote[2620].start |
12740.89221875 |
transcript.pyannote[2620].end |
12741.07784375 |
transcript.pyannote[2621].speaker |
SPEAKER_13 |
transcript.pyannote[2621].start |
12741.07784375 |
transcript.pyannote[2621].end |
12741.16221875 |
transcript.pyannote[2622].speaker |
SPEAKER_24 |
transcript.pyannote[2622].start |
12741.16221875 |
transcript.pyannote[2622].end |
12741.19596875 |
transcript.pyannote[2623].speaker |
SPEAKER_13 |
transcript.pyannote[2623].start |
12741.19596875 |
transcript.pyannote[2623].end |
12743.08596875 |
transcript.pyannote[2624].speaker |
SPEAKER_21 |
transcript.pyannote[2624].start |
12743.08596875 |
transcript.pyannote[2624].end |
12743.11971875 |
transcript.pyannote[2625].speaker |
SPEAKER_06 |
transcript.pyannote[2625].start |
12743.11971875 |
transcript.pyannote[2625].end |
12743.13659375 |
transcript.pyannote[2626].speaker |
SPEAKER_06 |
transcript.pyannote[2626].start |
12743.28846875 |
transcript.pyannote[2626].end |
12746.10659375 |
transcript.pyannote[2627].speaker |
SPEAKER_17 |
transcript.pyannote[2627].start |
12754.47659375 |
transcript.pyannote[2627].end |
12755.59034375 |
transcript.pyannote[2628].speaker |
SPEAKER_17 |
transcript.pyannote[2628].start |
12755.97846875 |
transcript.pyannote[2628].end |
12757.02471875 |
transcript.pyannote[2629].speaker |
SPEAKER_17 |
transcript.pyannote[2629].start |
12757.37909375 |
transcript.pyannote[2629].end |
12768.90471875 |
transcript.pyannote[2630].speaker |
SPEAKER_24 |
transcript.pyannote[2630].start |
12765.49596875 |
transcript.pyannote[2630].end |
12768.88784375 |
transcript.pyannote[2631].speaker |
SPEAKER_24 |
transcript.pyannote[2631].start |
12768.90471875 |
transcript.pyannote[2631].end |
12769.90034375 |
transcript.pyannote[2632].speaker |
SPEAKER_24 |
transcript.pyannote[2632].start |
12770.81159375 |
transcript.pyannote[2632].end |
12780.22784375 |
transcript.pyannote[2633].speaker |
SPEAKER_17 |
transcript.pyannote[2633].start |
12781.10534375 |
transcript.pyannote[2633].end |
12784.63221875 |
transcript.pyannote[2634].speaker |
SPEAKER_24 |
transcript.pyannote[2634].start |
12784.63221875 |
transcript.pyannote[2634].end |
12784.91909375 |
transcript.pyannote[2635].speaker |
SPEAKER_17 |
transcript.pyannote[2635].start |
12784.91909375 |
transcript.pyannote[2635].end |
12788.02409375 |
transcript.pyannote[2636].speaker |
SPEAKER_24 |
transcript.pyannote[2636].start |
12788.02409375 |
transcript.pyannote[2636].end |
12797.27159375 |
transcript.pyannote[2637].speaker |
SPEAKER_17 |
transcript.pyannote[2637].start |
12798.31784375 |
transcript.pyannote[2637].end |
12799.81971875 |
transcript.pyannote[2638].speaker |
SPEAKER_24 |
transcript.pyannote[2638].start |
12799.81971875 |
transcript.pyannote[2638].end |
12799.83659375 |
transcript.pyannote[2639].speaker |
SPEAKER_24 |
transcript.pyannote[2639].start |
12800.27534375 |
transcript.pyannote[2639].end |
12815.49659375 |
transcript.pyannote[2640].speaker |
SPEAKER_17 |
transcript.pyannote[2640].start |
12815.49659375 |
transcript.pyannote[2640].end |
12820.03596875 |
transcript.pyannote[2641].speaker |
SPEAKER_24 |
transcript.pyannote[2641].start |
12820.03596875 |
transcript.pyannote[2641].end |
12832.96221875 |
transcript.pyannote[2642].speaker |
SPEAKER_17 |
transcript.pyannote[2642].start |
12835.22346875 |
transcript.pyannote[2642].end |
12835.24034375 |
transcript.pyannote[2643].speaker |
SPEAKER_24 |
transcript.pyannote[2643].start |
12835.24034375 |
transcript.pyannote[2643].end |
12842.53034375 |
transcript.pyannote[2644].speaker |
SPEAKER_17 |
transcript.pyannote[2644].start |
12843.45846875 |
transcript.pyannote[2644].end |
12843.47534375 |
transcript.pyannote[2645].speaker |
SPEAKER_24 |
transcript.pyannote[2645].start |
12843.47534375 |
transcript.pyannote[2645].end |
12844.97721875 |
transcript.pyannote[2646].speaker |
SPEAKER_17 |
transcript.pyannote[2646].start |
12844.97721875 |
transcript.pyannote[2646].end |
12850.47846875 |
transcript.pyannote[2647].speaker |
SPEAKER_17 |
transcript.pyannote[2647].start |
12850.83284375 |
transcript.pyannote[2647].end |
12853.02659375 |
transcript.pyannote[2648].speaker |
SPEAKER_24 |
transcript.pyannote[2648].start |
12853.02659375 |
transcript.pyannote[2648].end |
12861.14346875 |
transcript.pyannote[2649].speaker |
SPEAKER_17 |
transcript.pyannote[2649].start |
12864.24846875 |
transcript.pyannote[2649].end |
12871.03221875 |
transcript.pyannote[2650].speaker |
SPEAKER_24 |
transcript.pyannote[2650].start |
12871.03221875 |
transcript.pyannote[2650].end |
12891.72096875 |
transcript.pyannote[2651].speaker |
SPEAKER_24 |
transcript.pyannote[2651].start |
12892.21034375 |
transcript.pyannote[2651].end |
12892.22721875 |
transcript.pyannote[2652].speaker |
SPEAKER_17 |
transcript.pyannote[2652].start |
12892.22721875 |
transcript.pyannote[2652].end |
12892.91909375 |
transcript.pyannote[2653].speaker |
SPEAKER_24 |
transcript.pyannote[2653].start |
12892.91909375 |
transcript.pyannote[2653].end |
12892.96971875 |
transcript.pyannote[2654].speaker |
SPEAKER_17 |
transcript.pyannote[2654].start |
12892.96971875 |
transcript.pyannote[2654].end |
12893.42534375 |
transcript.pyannote[2655].speaker |
SPEAKER_24 |
transcript.pyannote[2655].start |
12893.71221875 |
transcript.pyannote[2655].end |
12893.72909375 |
transcript.pyannote[2656].speaker |
SPEAKER_17 |
transcript.pyannote[2656].start |
12893.72909375 |
transcript.pyannote[2656].end |
12904.71471875 |
transcript.pyannote[2657].speaker |
SPEAKER_24 |
transcript.pyannote[2657].start |
12896.22659375 |
transcript.pyannote[2657].end |
12896.74971875 |
transcript.pyannote[2658].speaker |
SPEAKER_24 |
transcript.pyannote[2658].start |
12904.71471875 |
transcript.pyannote[2658].end |
12904.73159375 |
transcript.pyannote[2659].speaker |
SPEAKER_25 |
transcript.pyannote[2659].start |
12905.37284375 |
transcript.pyannote[2659].end |
12905.59221875 |
transcript.pyannote[2660].speaker |
SPEAKER_06 |
transcript.pyannote[2660].start |
12907.83659375 |
transcript.pyannote[2660].end |
12908.14034375 |
transcript.pyannote[2661].speaker |
SPEAKER_06 |
transcript.pyannote[2661].start |
12908.73096875 |
transcript.pyannote[2661].end |
12911.65034375 |
transcript.pyannote[2662].speaker |
SPEAKER_24 |
transcript.pyannote[2662].start |
12915.63284375 |
transcript.pyannote[2662].end |
12917.25284375 |
transcript.pyannote[2663].speaker |
SPEAKER_06 |
transcript.pyannote[2663].start |
12917.62409375 |
transcript.pyannote[2663].end |
12918.29909375 |
transcript.pyannote[2664].speaker |
SPEAKER_06 |
transcript.pyannote[2664].start |
12919.78409375 |
transcript.pyannote[2664].end |
12921.11721875 |
transcript.pyannote[2665].speaker |
SPEAKER_04 |
transcript.pyannote[2665].start |
12926.93909375 |
transcript.pyannote[2665].end |
12932.18721875 |
transcript.pyannote[2666].speaker |
SPEAKER_04 |
transcript.pyannote[2666].start |
12932.54159375 |
transcript.pyannote[2666].end |
12936.10221875 |
transcript.pyannote[2667].speaker |
SPEAKER_04 |
transcript.pyannote[2667].start |
12936.60846875 |
transcript.pyannote[2667].end |
12949.36596875 |
transcript.pyannote[2668].speaker |
SPEAKER_04 |
transcript.pyannote[2668].start |
12949.82159375 |
transcript.pyannote[2668].end |
12960.55409375 |
transcript.pyannote[2669].speaker |
SPEAKER_04 |
transcript.pyannote[2669].start |
12960.99284375 |
transcript.pyannote[2669].end |
12962.79846875 |
transcript.pyannote[2670].speaker |
SPEAKER_04 |
transcript.pyannote[2670].start |
12963.13596875 |
transcript.pyannote[2670].end |
12969.09284375 |
transcript.pyannote[2671].speaker |
SPEAKER_04 |
transcript.pyannote[2671].start |
12969.24471875 |
transcript.pyannote[2671].end |
12977.66534375 |
transcript.pyannote[2672].speaker |
SPEAKER_04 |
transcript.pyannote[2672].start |
12977.83409375 |
transcript.pyannote[2672].end |
12979.94346875 |
transcript.pyannote[2673].speaker |
SPEAKER_04 |
transcript.pyannote[2673].start |
12980.53409375 |
transcript.pyannote[2673].end |
13035.10784375 |
transcript.pyannote[2674].speaker |
SPEAKER_04 |
transcript.pyannote[2674].start |
13035.49596875 |
transcript.pyannote[2674].end |
13047.39284375 |
transcript.pyannote[2675].speaker |
SPEAKER_04 |
transcript.pyannote[2675].start |
13047.91596875 |
transcript.pyannote[2675].end |
13051.45971875 |
transcript.pyannote[2676].speaker |
SPEAKER_04 |
transcript.pyannote[2676].start |
13051.96596875 |
transcript.pyannote[2676].end |
13054.71659375 |
transcript.pyannote[2677].speaker |
SPEAKER_04 |
transcript.pyannote[2677].start |
13054.93596875 |
transcript.pyannote[2677].end |
13061.65221875 |
transcript.pyannote[2678].speaker |
SPEAKER_04 |
transcript.pyannote[2678].start |
13062.10784375 |
transcript.pyannote[2678].end |
13068.06471875 |
transcript.pyannote[2679].speaker |
SPEAKER_04 |
transcript.pyannote[2679].start |
13068.33471875 |
transcript.pyannote[2679].end |
13078.12221875 |
transcript.pyannote[2680].speaker |
SPEAKER_04 |
transcript.pyannote[2680].start |
13078.76346875 |
transcript.pyannote[2680].end |
13091.38596875 |
transcript.pyannote[2681].speaker |
SPEAKER_04 |
transcript.pyannote[2681].start |
13091.94284375 |
transcript.pyannote[2681].end |
13109.18909375 |
transcript.pyannote[2682].speaker |
SPEAKER_04 |
transcript.pyannote[2682].start |
13109.39159375 |
transcript.pyannote[2682].end |
13113.49221875 |
transcript.pyannote[2683].speaker |
SPEAKER_04 |
transcript.pyannote[2683].start |
13115.41596875 |
transcript.pyannote[2683].end |
13123.26284375 |
transcript.pyannote[2684].speaker |
SPEAKER_04 |
transcript.pyannote[2684].start |
13123.88721875 |
transcript.pyannote[2684].end |
13125.55784375 |
transcript.pyannote[2685].speaker |
SPEAKER_04 |
transcript.pyannote[2685].start |
13126.04721875 |
transcript.pyannote[2685].end |
13142.33159375 |
transcript.pyannote[2686].speaker |
SPEAKER_04 |
transcript.pyannote[2686].start |
13143.00659375 |
transcript.pyannote[2686].end |
13144.42409375 |
transcript.pyannote[2687].speaker |
SPEAKER_06 |
transcript.pyannote[2687].start |
13143.04034375 |
transcript.pyannote[2687].end |
13144.40721875 |
transcript.pyannote[2688].speaker |
SPEAKER_06 |
transcript.pyannote[2688].start |
13144.42409375 |
transcript.pyannote[2688].end |
13144.44096875 |
transcript.pyannote[2689].speaker |
SPEAKER_06 |
transcript.pyannote[2689].start |
13145.48721875 |
transcript.pyannote[2689].end |
13156.37159375 |
transcript.pyannote[2690].speaker |
SPEAKER_04 |
transcript.pyannote[2690].start |
13146.01034375 |
transcript.pyannote[2690].end |
13146.44909375 |
transcript.pyannote[2691].speaker |
SPEAKER_04 |
transcript.pyannote[2691].start |
13152.16971875 |
transcript.pyannote[2691].end |
13152.70971875 |
transcript.pyannote[2692].speaker |
SPEAKER_24 |
transcript.pyannote[2692].start |
13161.23159375 |
transcript.pyannote[2692].end |
13183.52346875 |
transcript.pyannote[2693].speaker |
SPEAKER_00 |
transcript.pyannote[2693].start |
13170.41159375 |
transcript.pyannote[2693].end |
13170.85034375 |
transcript.pyannote[2694].speaker |
SPEAKER_06 |
transcript.pyannote[2694].start |
13183.96221875 |
transcript.pyannote[2694].end |
13206.76034375 |
transcript.pyannote[2695].speaker |
SPEAKER_24 |
transcript.pyannote[2695].start |
13186.79721875 |
transcript.pyannote[2695].end |
13187.26971875 |
transcript.pyannote[2696].speaker |
SPEAKER_24 |
transcript.pyannote[2696].start |
13188.14721875 |
transcript.pyannote[2696].end |
13188.36659375 |
transcript.pyannote[2697].speaker |
SPEAKER_06 |
transcript.pyannote[2697].start |
13206.89534375 |
transcript.pyannote[2697].end |
13233.01784375 |
transcript.pyannote[2698].speaker |
SPEAKER_00 |
transcript.pyannote[2698].start |
13217.81346875 |
transcript.pyannote[2698].end |
13218.65721875 |
transcript.pyannote[2699].speaker |
SPEAKER_24 |
transcript.pyannote[2699].start |
13233.01784375 |
transcript.pyannote[2699].end |
13233.37221875 |
transcript.pyannote[2700].speaker |
SPEAKER_21 |
transcript.pyannote[2700].start |
13233.37221875 |
transcript.pyannote[2700].end |
13233.38909375 |
transcript.pyannote[2701].speaker |
SPEAKER_21 |
transcript.pyannote[2701].start |
13233.72659375 |
transcript.pyannote[2701].end |
13233.87846875 |
transcript.pyannote[2702].speaker |
SPEAKER_21 |
transcript.pyannote[2702].start |
13233.92909375 |
transcript.pyannote[2702].end |
13234.31721875 |
transcript.pyannote[2703].speaker |
SPEAKER_06 |
transcript.pyannote[2703].start |
13234.08096875 |
transcript.pyannote[2703].end |
13236.27471875 |
transcript.pyannote[2704].speaker |
SPEAKER_24 |
transcript.pyannote[2704].start |
13234.31721875 |
transcript.pyannote[2704].end |
13234.35096875 |
transcript.pyannote[2705].speaker |
SPEAKER_06 |
transcript.pyannote[2705].start |
13237.13534375 |
transcript.pyannote[2705].end |
13244.64471875 |
transcript.pyannote[2706].speaker |
SPEAKER_24 |
transcript.pyannote[2706].start |
13245.87659375 |
transcript.pyannote[2706].end |
13258.12784375 |
transcript.pyannote[2707].speaker |
SPEAKER_06 |
transcript.pyannote[2707].start |
13253.09909375 |
transcript.pyannote[2707].end |
13254.29721875 |
transcript.pyannote[2708].speaker |
SPEAKER_24 |
transcript.pyannote[2708].start |
13258.39784375 |
transcript.pyannote[2708].end |
13263.71346875 |
transcript.pyannote[2709].speaker |
SPEAKER_06 |
transcript.pyannote[2709].start |
13263.52784375 |
transcript.pyannote[2709].end |
13270.39596875 |
transcript.pyannote[2710].speaker |
SPEAKER_24 |
transcript.pyannote[2710].start |
13266.76784375 |
transcript.pyannote[2710].end |
13268.06721875 |
transcript.pyannote[2711].speaker |
SPEAKER_24 |
transcript.pyannote[2711].start |
13268.65784375 |
transcript.pyannote[2711].end |
13269.65346875 |
transcript.pyannote[2712].speaker |
SPEAKER_24 |
transcript.pyannote[2712].start |
13270.12596875 |
transcript.pyannote[2712].end |
13271.81346875 |
transcript.pyannote[2713].speaker |
SPEAKER_06 |
transcript.pyannote[2713].start |
13271.72909375 |
transcript.pyannote[2713].end |
13274.69909375 |
transcript.pyannote[2714].speaker |
SPEAKER_24 |
transcript.pyannote[2714].start |
13275.13784375 |
transcript.pyannote[2714].end |
13276.45409375 |
transcript.pyannote[2715].speaker |
SPEAKER_06 |
transcript.pyannote[2715].start |
13275.47534375 |
transcript.pyannote[2715].end |
13280.55471875 |
transcript.pyannote[2716].speaker |
SPEAKER_24 |
transcript.pyannote[2716].start |
13278.61409375 |
transcript.pyannote[2716].end |
13279.12034375 |
transcript.pyannote[2717].speaker |
SPEAKER_24 |
transcript.pyannote[2717].start |
13279.82909375 |
transcript.pyannote[2717].end |
13287.67596875 |
transcript.pyannote[2718].speaker |
SPEAKER_06 |
transcript.pyannote[2718].start |
13280.99346875 |
transcript.pyannote[2718].end |
13281.22971875 |
transcript.pyannote[2719].speaker |
SPEAKER_21 |
transcript.pyannote[2719].start |
13287.67596875 |
transcript.pyannote[2719].end |
13287.69284375 |
transcript.pyannote[2720].speaker |
SPEAKER_11 |
transcript.pyannote[2720].start |
13289.97096875 |
transcript.pyannote[2720].end |
13293.14346875 |
transcript.pyannote[2721].speaker |
SPEAKER_21 |
transcript.pyannote[2721].start |
13293.14346875 |
transcript.pyannote[2721].end |
13293.61596875 |
transcript.pyannote[2722].speaker |
SPEAKER_11 |
transcript.pyannote[2722].start |
13293.21096875 |
transcript.pyannote[2722].end |
13293.58221875 |
transcript.pyannote[2723].speaker |
SPEAKER_11 |
transcript.pyannote[2723].start |
13293.61596875 |
transcript.pyannote[2723].end |
13300.02846875 |
transcript.pyannote[2724].speaker |
SPEAKER_21 |
transcript.pyannote[2724].start |
13294.74659375 |
transcript.pyannote[2724].end |
13295.11784375 |
transcript.pyannote[2725].speaker |
SPEAKER_21 |
transcript.pyannote[2725].start |
13300.02846875 |
transcript.pyannote[2725].end |
13300.04534375 |
transcript.pyannote[2726].speaker |
SPEAKER_11 |
transcript.pyannote[2726].start |
13300.04534375 |
transcript.pyannote[2726].end |
13300.97346875 |
transcript.pyannote[2727].speaker |
SPEAKER_21 |
transcript.pyannote[2727].start |
13300.97346875 |
transcript.pyannote[2727].end |
13302.45846875 |
transcript.pyannote[2728].speaker |
SPEAKER_21 |
transcript.pyannote[2728].start |
13302.54284375 |
transcript.pyannote[2728].end |
13302.61034375 |
transcript.pyannote[2729].speaker |
SPEAKER_21 |
transcript.pyannote[2729].start |
13302.72846875 |
transcript.pyannote[2729].end |
13302.81284375 |
transcript.pyannote[2730].speaker |
SPEAKER_21 |
transcript.pyannote[2730].start |
13304.17971875 |
transcript.pyannote[2730].end |
13304.19659375 |
transcript.pyannote[2731].speaker |
SPEAKER_06 |
transcript.pyannote[2731].start |
13304.19659375 |
transcript.pyannote[2731].end |
13311.75659375 |
transcript.pyannote[2732].speaker |
SPEAKER_21 |
transcript.pyannote[2732].start |
13304.26409375 |
transcript.pyannote[2732].end |
13304.28096875 |
transcript.pyannote[2733].speaker |
SPEAKER_21 |
transcript.pyannote[2733].start |
13304.31471875 |
transcript.pyannote[2733].end |
13304.36534375 |
transcript.pyannote[2734].speaker |
SPEAKER_06 |
transcript.pyannote[2734].start |
13312.17846875 |
transcript.pyannote[2734].end |
13312.98846875 |
transcript.pyannote[2735].speaker |
SPEAKER_24 |
transcript.pyannote[2735].start |
13318.40534375 |
transcript.pyannote[2735].end |
13318.42221875 |
transcript.pyannote[2736].speaker |
SPEAKER_06 |
transcript.pyannote[2736].start |
13324.85159375 |
transcript.pyannote[2736].end |
13331.17971875 |
transcript.pyannote[2737].speaker |
SPEAKER_06 |
transcript.pyannote[2737].start |
13332.12471875 |
transcript.pyannote[2737].end |
13332.66471875 |
transcript.pyannote[2738].speaker |
SPEAKER_06 |
transcript.pyannote[2738].start |
13332.96846875 |
transcript.pyannote[2738].end |
13333.60971875 |
transcript.pyannote[2739].speaker |
SPEAKER_24 |
transcript.pyannote[2739].start |
13336.56284375 |
transcript.pyannote[2739].end |
13340.76471875 |
transcript.pyannote[2740].speaker |
SPEAKER_24 |
transcript.pyannote[2740].start |
13341.79409375 |
transcript.pyannote[2740].end |
13344.84846875 |
transcript.pyannote[2741].speaker |
SPEAKER_06 |
transcript.pyannote[2741].start |
13344.57846875 |
transcript.pyannote[2741].end |
13347.68346875 |
transcript.pyannote[2742].speaker |
SPEAKER_24 |
transcript.pyannote[2742].start |
13349.05034375 |
transcript.pyannote[2742].end |
13364.27159375 |
transcript.pyannote[2743].speaker |
SPEAKER_24 |
transcript.pyannote[2743].start |
13364.42346875 |
transcript.pyannote[2743].end |
13364.45721875 |
transcript.pyannote[2744].speaker |
SPEAKER_06 |
transcript.pyannote[2744].start |
13364.45721875 |
transcript.pyannote[2744].end |
13364.74409375 |
transcript.pyannote[2745].speaker |
SPEAKER_24 |
transcript.pyannote[2745].start |
13364.74409375 |
transcript.pyannote[2745].end |
13364.79471875 |
transcript.pyannote[2746].speaker |
SPEAKER_06 |
transcript.pyannote[2746].start |
13364.79471875 |
transcript.pyannote[2746].end |
13372.30409375 |
transcript.pyannote[2747].speaker |
SPEAKER_06 |
transcript.pyannote[2747].start |
13372.72596875 |
transcript.pyannote[2747].end |
13386.05721875 |
transcript.pyannote[2748].speaker |
SPEAKER_06 |
transcript.pyannote[2748].start |
13394.15721875 |
transcript.pyannote[2748].end |
13399.55721875 |
transcript.pyannote[2749].speaker |
SPEAKER_06 |
transcript.pyannote[2749].start |
13403.79284375 |
transcript.pyannote[2749].end |
13410.10409375 |
transcript.pyannote[2750].speaker |
SPEAKER_05 |
transcript.pyannote[2750].start |
13404.19784375 |
transcript.pyannote[2750].end |
13404.82221875 |
transcript.pyannote[2751].speaker |
SPEAKER_06 |
transcript.pyannote[2751].start |
13410.42471875 |
transcript.pyannote[2751].end |
13411.20096875 |
transcript.pyannote[2752].speaker |
SPEAKER_06 |
transcript.pyannote[2752].start |
13411.55534375 |
transcript.pyannote[2752].end |
13412.33159375 |
transcript.pyannote[2753].speaker |
SPEAKER_06 |
transcript.pyannote[2753].start |
13412.93909375 |
transcript.pyannote[2753].end |
13414.28909375 |
transcript.pyannote[2754].speaker |
SPEAKER_06 |
transcript.pyannote[2754].start |
13414.91346875 |
transcript.pyannote[2754].end |
13418.52471875 |
transcript.pyannote[2755].speaker |
SPEAKER_06 |
transcript.pyannote[2755].start |
13419.25034375 |
transcript.pyannote[2755].end |
13426.15221875 |
transcript.pyannote[2756].speaker |
SPEAKER_06 |
transcript.pyannote[2756].start |
13426.38846875 |
transcript.pyannote[2756].end |
13437.61034375 |
transcript.pyannote[2757].speaker |
SPEAKER_06 |
transcript.pyannote[2757].start |
13437.88034375 |
transcript.pyannote[2757].end |
13439.24721875 |
transcript.pyannote[2758].speaker |
SPEAKER_06 |
transcript.pyannote[2758].start |
13439.75346875 |
transcript.pyannote[2758].end |
13442.09909375 |
transcript.pyannote[2759].speaker |
SPEAKER_06 |
transcript.pyannote[2759].start |
13442.40284375 |
transcript.pyannote[2759].end |
13445.62596875 |
transcript.pyannote[2760].speaker |
SPEAKER_06 |
transcript.pyannote[2760].start |
13445.96346875 |
transcript.pyannote[2760].end |
13446.03096875 |
transcript.pyannote[2761].speaker |
SPEAKER_11 |
transcript.pyannote[2761].start |
13446.03096875 |
transcript.pyannote[2761].end |
13447.56659375 |
transcript.pyannote[2762].speaker |
SPEAKER_06 |
transcript.pyannote[2762].start |
13447.56659375 |
transcript.pyannote[2762].end |
13447.80284375 |
transcript.pyannote[2763].speaker |
SPEAKER_11 |
transcript.pyannote[2763].start |
13447.80284375 |
transcript.pyannote[2763].end |
13450.53659375 |
transcript.pyannote[2764].speaker |
SPEAKER_11 |
transcript.pyannote[2764].start |
13451.12721875 |
transcript.pyannote[2764].end |
13452.03846875 |
transcript.pyannote[2765].speaker |
SPEAKER_11 |
transcript.pyannote[2765].start |
13452.29159375 |
transcript.pyannote[2765].end |
13454.02971875 |
transcript.pyannote[2766].speaker |
SPEAKER_06 |
transcript.pyannote[2766].start |
13453.06784375 |
transcript.pyannote[2766].end |
13453.65846875 |
transcript.pyannote[2767].speaker |
SPEAKER_06 |
transcript.pyannote[2767].start |
13454.02971875 |
transcript.pyannote[2767].end |
13473.87471875 |
transcript.pyannote[2768].speaker |
SPEAKER_06 |
transcript.pyannote[2768].start |
13474.31346875 |
transcript.pyannote[2768].end |
13476.72659375 |
transcript.pyannote[2769].speaker |
SPEAKER_06 |
transcript.pyannote[2769].start |
13476.79409375 |
transcript.pyannote[2769].end |
13481.56971875 |
transcript.pyannote[2770].speaker |
SPEAKER_11 |
transcript.pyannote[2770].start |
13482.34596875 |
transcript.pyannote[2770].end |
13486.24409375 |
transcript.pyannote[2771].speaker |
SPEAKER_11 |
transcript.pyannote[2771].start |
13486.53096875 |
transcript.pyannote[2771].end |
13489.02846875 |
transcript.pyannote[2772].speaker |
SPEAKER_11 |
transcript.pyannote[2772].start |
13489.41659375 |
transcript.pyannote[2772].end |
13494.83346875 |
transcript.pyannote[2773].speaker |
SPEAKER_11 |
transcript.pyannote[2773].start |
13494.95159375 |
transcript.pyannote[2773].end |
13497.36471875 |
transcript.pyannote[2774].speaker |
SPEAKER_11 |
transcript.pyannote[2774].start |
13497.60096875 |
transcript.pyannote[2774].end |
13509.02534375 |
transcript.pyannote[2775].speaker |
SPEAKER_28 |
transcript.pyannote[2775].start |
13506.42659375 |
transcript.pyannote[2775].end |
13506.44346875 |
transcript.pyannote[2776].speaker |
SPEAKER_10 |
transcript.pyannote[2776].start |
13506.44346875 |
transcript.pyannote[2776].end |
13508.36721875 |
transcript.pyannote[2777].speaker |
SPEAKER_06 |
transcript.pyannote[2777].start |
13509.02534375 |
transcript.pyannote[2777].end |
13549.39034375 |
transcript.pyannote[2778].speaker |
SPEAKER_06 |
transcript.pyannote[2778].start |
13549.98096875 |
transcript.pyannote[2778].end |
13550.97659375 |
transcript.pyannote[2779].speaker |
SPEAKER_11 |
transcript.pyannote[2779].start |
13550.97659375 |
transcript.pyannote[2779].end |
13556.71409375 |
transcript.pyannote[2780].speaker |
SPEAKER_21 |
transcript.pyannote[2780].start |
13553.03534375 |
transcript.pyannote[2780].end |
13553.25471875 |
transcript.pyannote[2781].speaker |
SPEAKER_02 |
transcript.pyannote[2781].start |
13556.76471875 |
transcript.pyannote[2781].end |
13556.81534375 |
transcript.pyannote[2782].speaker |
SPEAKER_21 |
transcript.pyannote[2782].start |
13556.81534375 |
transcript.pyannote[2782].end |
13557.20346875 |
transcript.pyannote[2783].speaker |
SPEAKER_11 |
transcript.pyannote[2783].start |
13557.20346875 |
transcript.pyannote[2783].end |
13569.72471875 |
transcript.pyannote[2784].speaker |
SPEAKER_21 |
transcript.pyannote[2784].start |
13561.65846875 |
transcript.pyannote[2784].end |
13561.67534375 |
transcript.pyannote[2785].speaker |
SPEAKER_03 |
transcript.pyannote[2785].start |
13561.67534375 |
transcript.pyannote[2785].end |
13564.42596875 |
transcript.pyannote[2786].speaker |
SPEAKER_11 |
transcript.pyannote[2786].start |
13569.89346875 |
transcript.pyannote[2786].end |
13572.94784375 |
transcript.pyannote[2787].speaker |
SPEAKER_11 |
transcript.pyannote[2787].start |
13573.11659375 |
transcript.pyannote[2787].end |
13610.03909375 |
transcript.pyannote[2788].speaker |
SPEAKER_21 |
transcript.pyannote[2788].start |
13576.93034375 |
transcript.pyannote[2788].end |
13577.26784375 |
transcript.pyannote[2789].speaker |
SPEAKER_06 |
transcript.pyannote[2789].start |
13608.73971875 |
transcript.pyannote[2789].end |
13608.84096875 |
transcript.pyannote[2790].speaker |
SPEAKER_21 |
transcript.pyannote[2790].start |
13608.84096875 |
transcript.pyannote[2790].end |
13609.02659375 |
transcript.pyannote[2791].speaker |
SPEAKER_06 |
transcript.pyannote[2791].start |
13609.02659375 |
transcript.pyannote[2791].end |
13609.44846875 |
transcript.pyannote[2792].speaker |
SPEAKER_21 |
transcript.pyannote[2792].start |
13609.44846875 |
transcript.pyannote[2792].end |
13609.58346875 |
transcript.pyannote[2793].speaker |
SPEAKER_06 |
transcript.pyannote[2793].start |
13609.58346875 |
transcript.pyannote[2793].end |
13609.63409375 |
transcript.pyannote[2794].speaker |
SPEAKER_06 |
transcript.pyannote[2794].start |
13610.03909375 |
transcript.pyannote[2794].end |
13635.84096875 |
transcript.pyannote[2795].speaker |
SPEAKER_00 |
transcript.pyannote[2795].start |
13618.52721875 |
transcript.pyannote[2795].end |
13618.61159375 |
transcript.pyannote[2796].speaker |
SPEAKER_04 |
transcript.pyannote[2796].start |
13618.61159375 |
transcript.pyannote[2796].end |
13618.88159375 |
transcript.pyannote[2797].speaker |
SPEAKER_00 |
transcript.pyannote[2797].start |
13618.88159375 |
transcript.pyannote[2797].end |
13618.96596875 |
transcript.pyannote[2798].speaker |
SPEAKER_11 |
transcript.pyannote[2798].start |
13624.82159375 |
transcript.pyannote[2798].end |
13625.41221875 |
transcript.pyannote[2799].speaker |
SPEAKER_04 |
transcript.pyannote[2799].start |
13625.41221875 |
transcript.pyannote[2799].end |
13626.10409375 |
transcript.pyannote[2800].speaker |
SPEAKER_11 |
transcript.pyannote[2800].start |
13626.10409375 |
transcript.pyannote[2800].end |
13626.13784375 |
transcript.pyannote[2801].speaker |
SPEAKER_00 |
transcript.pyannote[2801].start |
13626.13784375 |
transcript.pyannote[2801].end |
13626.20534375 |
transcript.pyannote[2802].speaker |
SPEAKER_06 |
transcript.pyannote[2802].start |
13636.31346875 |
transcript.pyannote[2802].end |
13636.97159375 |
transcript.pyannote[2803].speaker |
SPEAKER_11 |
transcript.pyannote[2803].start |
13636.97159375 |
transcript.pyannote[2803].end |
13650.62346875 |
transcript.pyannote[2804].speaker |
SPEAKER_21 |
transcript.pyannote[2804].start |
13650.87659375 |
transcript.pyannote[2804].end |
13651.07909375 |
transcript.pyannote[2805].speaker |
SPEAKER_11 |
transcript.pyannote[2805].start |
13651.07909375 |
transcript.pyannote[2805].end |
13680.89721875 |
transcript.pyannote[2806].speaker |
SPEAKER_21 |
transcript.pyannote[2806].start |
13655.48346875 |
transcript.pyannote[2806].end |
13655.92221875 |
transcript.pyannote[2807].speaker |
SPEAKER_06 |
transcript.pyannote[2807].start |
13677.89346875 |
transcript.pyannote[2807].end |
13689.70596875 |
transcript.pyannote[2808].speaker |
SPEAKER_06 |
transcript.pyannote[2808].start |
13690.60034375 |
transcript.pyannote[2808].end |
13690.63409375 |
transcript.pyannote[2809].speaker |
SPEAKER_11 |
transcript.pyannote[2809].start |
13690.63409375 |
transcript.pyannote[2809].end |
13699.54409375 |
transcript.pyannote[2810].speaker |
SPEAKER_06 |
transcript.pyannote[2810].start |
13690.66784375 |
transcript.pyannote[2810].end |
13691.42721875 |
transcript.pyannote[2811].speaker |
SPEAKER_02 |
transcript.pyannote[2811].start |
13694.58284375 |
transcript.pyannote[2811].end |
13695.52784375 |
transcript.pyannote[2812].speaker |
SPEAKER_04 |
transcript.pyannote[2812].start |
13695.52784375 |
transcript.pyannote[2812].end |
13695.54471875 |
transcript.pyannote[2813].speaker |
SPEAKER_04 |
transcript.pyannote[2813].start |
13696.99596875 |
transcript.pyannote[2813].end |
13697.01284375 |
transcript.pyannote[2814].speaker |
SPEAKER_03 |
transcript.pyannote[2814].start |
13697.01284375 |
transcript.pyannote[2814].end |
13698.21096875 |
transcript.pyannote[2815].speaker |
SPEAKER_04 |
transcript.pyannote[2815].start |
13698.21096875 |
transcript.pyannote[2815].end |
13698.22784375 |
transcript.pyannote[2816].speaker |
SPEAKER_11 |
transcript.pyannote[2816].start |
13699.59471875 |
transcript.pyannote[2816].end |
13700.28659375 |
transcript.pyannote[2817].speaker |
SPEAKER_11 |
transcript.pyannote[2817].start |
13700.69159375 |
transcript.pyannote[2817].end |
13702.88534375 |
transcript.pyannote[2818].speaker |
SPEAKER_21 |
transcript.pyannote[2818].start |
13702.93596875 |
transcript.pyannote[2818].end |
13703.39159375 |
transcript.pyannote[2819].speaker |
SPEAKER_11 |
transcript.pyannote[2819].start |
13703.35784375 |
transcript.pyannote[2819].end |
13705.77096875 |
transcript.pyannote[2820].speaker |
SPEAKER_11 |
transcript.pyannote[2820].start |
13706.32784375 |
transcript.pyannote[2820].end |
13706.78346875 |
transcript.pyannote[2821].speaker |
SPEAKER_11 |
transcript.pyannote[2821].start |
13706.91846875 |
transcript.pyannote[2821].end |
13735.09971875 |
transcript.pyannote[2822].speaker |
SPEAKER_11 |
transcript.pyannote[2822].start |
13735.52159375 |
transcript.pyannote[2822].end |
13737.25971875 |
transcript.pyannote[2823].speaker |
SPEAKER_11 |
transcript.pyannote[2823].start |
13737.66471875 |
transcript.pyannote[2823].end |
13745.00534375 |
transcript.pyannote[2824].speaker |
SPEAKER_06 |
transcript.pyannote[2824].start |
13745.86596875 |
transcript.pyannote[2824].end |
13758.03284375 |
transcript.pyannote[2825].speaker |
SPEAKER_27 |
transcript.pyannote[2825].start |
13749.49409375 |
transcript.pyannote[2825].end |
13749.51096875 |
transcript.pyannote[2826].speaker |
SPEAKER_27 |
transcript.pyannote[2826].start |
13749.54471875 |
transcript.pyannote[2826].end |
13749.66284375 |
transcript.pyannote[2827].speaker |
SPEAKER_11 |
transcript.pyannote[2827].start |
13749.66284375 |
transcript.pyannote[2827].end |
13750.28721875 |
transcript.pyannote[2828].speaker |
SPEAKER_27 |
transcript.pyannote[2828].start |
13750.28721875 |
transcript.pyannote[2828].end |
13750.30409375 |
transcript.pyannote[2829].speaker |
SPEAKER_11 |
transcript.pyannote[2829].start |
13750.30409375 |
transcript.pyannote[2829].end |
13750.32096875 |
transcript.pyannote[2830].speaker |
SPEAKER_11 |
transcript.pyannote[2830].start |
13751.73846875 |
transcript.pyannote[2830].end |
13751.75534375 |
transcript.pyannote[2831].speaker |
SPEAKER_27 |
transcript.pyannote[2831].start |
13751.75534375 |
transcript.pyannote[2831].end |
13752.02534375 |
transcript.pyannote[2832].speaker |
SPEAKER_11 |
transcript.pyannote[2832].start |
13752.02534375 |
transcript.pyannote[2832].end |
13752.97034375 |
transcript.pyannote[2833].speaker |
SPEAKER_27 |
transcript.pyannote[2833].start |
13752.97034375 |
transcript.pyannote[2833].end |
13753.05471875 |
transcript.pyannote[2834].speaker |
SPEAKER_27 |
transcript.pyannote[2834].start |
13754.16846875 |
transcript.pyannote[2834].end |
13755.80534375 |
transcript.pyannote[2835].speaker |
SPEAKER_11 |
transcript.pyannote[2835].start |
13757.45909375 |
transcript.pyannote[2835].end |
13762.45409375 |
transcript.pyannote[2836].speaker |
SPEAKER_11 |
transcript.pyannote[2836].start |
13762.62284375 |
transcript.pyannote[2836].end |
13762.65659375 |
transcript.pyannote[2837].speaker |
SPEAKER_11 |
transcript.pyannote[2837].start |
13762.72409375 |
transcript.pyannote[2837].end |
13764.76596875 |
transcript.pyannote[2838].speaker |
SPEAKER_11 |
transcript.pyannote[2838].start |
13765.32284375 |
transcript.pyannote[2838].end |
13767.01034375 |
transcript.pyannote[2839].speaker |
SPEAKER_11 |
transcript.pyannote[2839].start |
13767.48284375 |
transcript.pyannote[2839].end |
13770.45284375 |
transcript.pyannote[2840].speaker |
SPEAKER_11 |
transcript.pyannote[2840].start |
13770.60471875 |
transcript.pyannote[2840].end |
13773.28784375 |
transcript.pyannote[2841].speaker |
SPEAKER_11 |
transcript.pyannote[2841].start |
13773.60846875 |
transcript.pyannote[2841].end |
13775.16096875 |
transcript.pyannote[2842].speaker |
SPEAKER_11 |
transcript.pyannote[2842].start |
13775.68409375 |
transcript.pyannote[2842].end |
13777.05096875 |
transcript.pyannote[2843].speaker |
SPEAKER_11 |
transcript.pyannote[2843].start |
13777.47284375 |
transcript.pyannote[2843].end |
13780.47659375 |
transcript.pyannote[2844].speaker |
SPEAKER_11 |
transcript.pyannote[2844].start |
13780.69596875 |
transcript.pyannote[2844].end |
13788.03659375 |
transcript.pyannote[2845].speaker |
SPEAKER_06 |
transcript.pyannote[2845].start |
13788.03659375 |
transcript.pyannote[2845].end |
13821.01034375 |
transcript.pyannote[2846].speaker |
SPEAKER_10 |
transcript.pyannote[2846].start |
13810.00784375 |
transcript.pyannote[2846].end |
13811.23971875 |
transcript.pyannote[2847].speaker |
SPEAKER_10 |
transcript.pyannote[2847].start |
13812.18471875 |
transcript.pyannote[2847].end |
13812.48846875 |
transcript.pyannote[2848].speaker |
SPEAKER_10 |
transcript.pyannote[2848].start |
13813.70346875 |
transcript.pyannote[2848].end |
13814.15909375 |
transcript.pyannote[2849].speaker |
SPEAKER_04 |
transcript.pyannote[2849].start |
13814.15909375 |
transcript.pyannote[2849].end |
13814.19284375 |
transcript.pyannote[2850].speaker |
SPEAKER_04 |
transcript.pyannote[2850].start |
13818.46221875 |
transcript.pyannote[2850].end |
13818.78284375 |
transcript.pyannote[2851].speaker |
SPEAKER_06 |
transcript.pyannote[2851].start |
13821.33096875 |
transcript.pyannote[2851].end |
13825.98846875 |
transcript.pyannote[2852].speaker |
SPEAKER_06 |
transcript.pyannote[2852].start |
13827.01784375 |
transcript.pyannote[2852].end |
13827.03471875 |
transcript.pyannote[2853].speaker |
SPEAKER_11 |
transcript.pyannote[2853].start |
13827.03471875 |
transcript.pyannote[2853].end |
13827.27096875 |
transcript.pyannote[2854].speaker |
SPEAKER_06 |
transcript.pyannote[2854].start |
13827.27096875 |
transcript.pyannote[2854].end |
13827.42284375 |
transcript.pyannote[2855].speaker |
SPEAKER_11 |
transcript.pyannote[2855].start |
13827.42284375 |
transcript.pyannote[2855].end |
13827.45659375 |
transcript.pyannote[2856].speaker |
SPEAKER_11 |
transcript.pyannote[2856].start |
13827.92909375 |
transcript.pyannote[2856].end |
13837.29471875 |
transcript.pyannote[2857].speaker |
SPEAKER_11 |
transcript.pyannote[2857].start |
13837.42971875 |
transcript.pyannote[2857].end |
13841.71596875 |
transcript.pyannote[2858].speaker |
SPEAKER_11 |
transcript.pyannote[2858].start |
13842.07034375 |
transcript.pyannote[2858].end |
13842.94784375 |
transcript.pyannote[2859].speaker |
SPEAKER_11 |
transcript.pyannote[2859].start |
13843.25159375 |
transcript.pyannote[2859].end |
13848.07784375 |
transcript.pyannote[2860].speaker |
SPEAKER_11 |
transcript.pyannote[2860].start |
13848.22971875 |
transcript.pyannote[2860].end |
13850.03534375 |
transcript.pyannote[2861].speaker |
SPEAKER_06 |
transcript.pyannote[2861].start |
13850.03534375 |
transcript.pyannote[2861].end |
13871.04471875 |
transcript.pyannote[2862].speaker |
SPEAKER_09 |
transcript.pyannote[2862].start |
13869.22221875 |
transcript.pyannote[2862].end |
13869.47534375 |
transcript.pyannote[2863].speaker |
SPEAKER_06 |
transcript.pyannote[2863].start |
13871.93909375 |
transcript.pyannote[2863].end |
13879.33034375 |
transcript.pyannote[2864].speaker |
SPEAKER_06 |
transcript.pyannote[2864].start |
13879.65096875 |
transcript.pyannote[2864].end |
13880.66346875 |
transcript.pyannote[2865].speaker |
SPEAKER_06 |
transcript.pyannote[2865].start |
13881.37221875 |
transcript.pyannote[2865].end |
13884.81471875 |
transcript.pyannote[2866].speaker |
SPEAKER_06 |
transcript.pyannote[2866].start |
13890.77159375 |
transcript.pyannote[2866].end |
13891.53096875 |
transcript.pyannote[2867].speaker |
SPEAKER_06 |
transcript.pyannote[2867].start |
13892.29034375 |
transcript.pyannote[2867].end |
13893.08346875 |
transcript.pyannote[2868].speaker |
SPEAKER_09 |
transcript.pyannote[2868].start |
13895.86784375 |
transcript.pyannote[2868].end |
13979.16284375 |
transcript.pyannote[2869].speaker |
SPEAKER_06 |
transcript.pyannote[2869].start |
13896.49221875 |
transcript.pyannote[2869].end |
13898.04471875 |
transcript.pyannote[2870].speaker |
SPEAKER_00 |
transcript.pyannote[2870].start |
13908.27096875 |
transcript.pyannote[2870].end |
13908.28784375 |
transcript.pyannote[2871].speaker |
SPEAKER_04 |
transcript.pyannote[2871].start |
13908.28784375 |
transcript.pyannote[2871].end |
13908.91221875 |
transcript.pyannote[2872].speaker |
SPEAKER_21 |
transcript.pyannote[2872].start |
13917.87284375 |
transcript.pyannote[2872].end |
13917.92346875 |
transcript.pyannote[2873].speaker |
SPEAKER_11 |
transcript.pyannote[2873].start |
13974.26909375 |
transcript.pyannote[2873].end |
13975.72034375 |
transcript.pyannote[2874].speaker |
SPEAKER_11 |
transcript.pyannote[2874].start |
13978.26846875 |
transcript.pyannote[2874].end |
13981.89659375 |
transcript.pyannote[2875].speaker |
SPEAKER_09 |
transcript.pyannote[2875].start |
13982.06534375 |
transcript.pyannote[2875].end |
13986.63846875 |
transcript.pyannote[2876].speaker |
SPEAKER_09 |
transcript.pyannote[2876].start |
13986.92534375 |
transcript.pyannote[2876].end |
14004.25596875 |
transcript.pyannote[2877].speaker |
SPEAKER_09 |
transcript.pyannote[2877].start |
14004.77909375 |
transcript.pyannote[2877].end |
14009.67284375 |
transcript.pyannote[2878].speaker |
SPEAKER_11 |
transcript.pyannote[2878].start |
14005.03221875 |
transcript.pyannote[2878].end |
14005.65659375 |
transcript.pyannote[2879].speaker |
SPEAKER_09 |
transcript.pyannote[2879].start |
14009.70659375 |
transcript.pyannote[2879].end |
14012.64284375 |
transcript.pyannote[2880].speaker |
SPEAKER_11 |
transcript.pyannote[2880].start |
14010.38159375 |
transcript.pyannote[2880].end |
14010.66846875 |
transcript.pyannote[2881].speaker |
SPEAKER_11 |
transcript.pyannote[2881].start |
14011.12409375 |
transcript.pyannote[2881].end |
14012.62596875 |
transcript.pyannote[2882].speaker |
SPEAKER_11 |
transcript.pyannote[2882].start |
14012.64284375 |
transcript.pyannote[2882].end |
14014.85346875 |
transcript.pyannote[2883].speaker |
SPEAKER_11 |
transcript.pyannote[2883].start |
14015.39346875 |
transcript.pyannote[2883].end |
14018.98784375 |
transcript.pyannote[2884].speaker |
SPEAKER_09 |
transcript.pyannote[2884].start |
14015.49471875 |
transcript.pyannote[2884].end |
14016.28784375 |
transcript.pyannote[2885].speaker |
SPEAKER_09 |
transcript.pyannote[2885].start |
14017.99221875 |
transcript.pyannote[2885].end |
14029.77096875 |
transcript.pyannote[2886].speaker |
SPEAKER_09 |
transcript.pyannote[2886].start |
14030.12534375 |
transcript.pyannote[2886].end |
14040.43596875 |
transcript.pyannote[2887].speaker |
SPEAKER_09 |
transcript.pyannote[2887].start |
14040.72284375 |
transcript.pyannote[2887].end |
14050.66221875 |
transcript.pyannote[2888].speaker |
SPEAKER_09 |
transcript.pyannote[2888].start |
14051.03346875 |
transcript.pyannote[2888].end |
14052.07971875 |
transcript.pyannote[2889].speaker |
SPEAKER_09 |
transcript.pyannote[2889].start |
14052.34971875 |
transcript.pyannote[2889].end |
14064.75284375 |
transcript.pyannote[2890].speaker |
SPEAKER_00 |
transcript.pyannote[2890].start |
14056.36596875 |
transcript.pyannote[2890].end |
14056.66971875 |
transcript.pyannote[2891].speaker |
SPEAKER_09 |
transcript.pyannote[2891].start |
14064.95534375 |
transcript.pyannote[2891].end |
14079.21471875 |
transcript.pyannote[2892].speaker |
SPEAKER_09 |
transcript.pyannote[2892].start |
14079.28221875 |
transcript.pyannote[2892].end |
14079.29909375 |
transcript.pyannote[2893].speaker |
SPEAKER_11 |
transcript.pyannote[2893].start |
14079.29909375 |
transcript.pyannote[2893].end |
14080.17659375 |
transcript.pyannote[2894].speaker |
SPEAKER_09 |
transcript.pyannote[2894].start |
14079.82221875 |
transcript.pyannote[2894].end |
14081.32409375 |
transcript.pyannote[2895].speaker |
SPEAKER_11 |
transcript.pyannote[2895].start |
14080.73346875 |
transcript.pyannote[2895].end |
14081.66159375 |
transcript.pyannote[2896].speaker |
SPEAKER_09 |
transcript.pyannote[2896].start |
14081.66159375 |
transcript.pyannote[2896].end |
14100.49409375 |
transcript.pyannote[2897].speaker |
SPEAKER_09 |
transcript.pyannote[2897].start |
14100.59534375 |
transcript.pyannote[2897].end |
14105.03346875 |
transcript.pyannote[2898].speaker |
SPEAKER_11 |
transcript.pyannote[2898].start |
14105.03346875 |
transcript.pyannote[2898].end |
14112.01971875 |
transcript.pyannote[2899].speaker |
SPEAKER_11 |
transcript.pyannote[2899].start |
14112.45846875 |
transcript.pyannote[2899].end |
14117.47034375 |
transcript.pyannote[2900].speaker |
SPEAKER_11 |
transcript.pyannote[2900].start |
14117.68971875 |
transcript.pyannote[2900].end |
14123.61284375 |
transcript.pyannote[2901].speaker |
SPEAKER_11 |
transcript.pyannote[2901].start |
14124.32159375 |
transcript.pyannote[2901].end |
14125.60409375 |
transcript.pyannote[2902].speaker |
SPEAKER_09 |
transcript.pyannote[2902].start |
14126.16096875 |
transcript.pyannote[2902].end |
14126.51534375 |
transcript.pyannote[2903].speaker |
SPEAKER_09 |
transcript.pyannote[2903].start |
14127.08909375 |
transcript.pyannote[2903].end |
14130.04221875 |
transcript.pyannote[2904].speaker |
SPEAKER_11 |
transcript.pyannote[2904].start |
14130.04221875 |
transcript.pyannote[2904].end |
14130.85221875 |
transcript.pyannote[2905].speaker |
SPEAKER_09 |
transcript.pyannote[2905].start |
14130.85221875 |
transcript.pyannote[2905].end |
14143.55909375 |
transcript.pyannote[2906].speaker |
SPEAKER_11 |
transcript.pyannote[2906].start |
14131.69596875 |
transcript.pyannote[2906].end |
14131.91534375 |
transcript.pyannote[2907].speaker |
SPEAKER_11 |
transcript.pyannote[2907].start |
14132.87721875 |
transcript.pyannote[2907].end |
14133.95721875 |
transcript.pyannote[2908].speaker |
SPEAKER_11 |
transcript.pyannote[2908].start |
14134.51409375 |
transcript.pyannote[2908].end |
14135.27346875 |
transcript.pyannote[2909].speaker |
SPEAKER_13 |
transcript.pyannote[2909].start |
14140.25159375 |
transcript.pyannote[2909].end |
14140.58909375 |
transcript.pyannote[2910].speaker |
SPEAKER_09 |
transcript.pyannote[2910].start |
14143.96409375 |
transcript.pyannote[2910].end |
14145.73596875 |
transcript.pyannote[2911].speaker |
SPEAKER_09 |
transcript.pyannote[2911].start |
14146.17471875 |
transcript.pyannote[2911].end |
14173.88346875 |
transcript.pyannote[2912].speaker |
SPEAKER_09 |
transcript.pyannote[2912].start |
14174.79471875 |
transcript.pyannote[2912].end |
14223.63096875 |
transcript.pyannote[2913].speaker |
SPEAKER_02 |
transcript.pyannote[2913].start |
14178.94596875 |
transcript.pyannote[2913].end |
14179.43534375 |
transcript.pyannote[2914].speaker |
SPEAKER_11 |
transcript.pyannote[2914].start |
14204.17409375 |
transcript.pyannote[2914].end |
14204.22471875 |
transcript.pyannote[2915].speaker |
SPEAKER_09 |
transcript.pyannote[2915].start |
14224.52534375 |
transcript.pyannote[2915].end |
14235.39284375 |
transcript.pyannote[2916].speaker |
SPEAKER_21 |
transcript.pyannote[2916].start |
14224.94721875 |
transcript.pyannote[2916].end |
14225.50409375 |
transcript.pyannote[2917].speaker |
SPEAKER_09 |
transcript.pyannote[2917].start |
14235.96659375 |
transcript.pyannote[2917].end |
14243.03721875 |
transcript.pyannote[2918].speaker |
SPEAKER_09 |
transcript.pyannote[2918].start |
14243.22284375 |
transcript.pyannote[2918].end |
14255.81159375 |
transcript.pyannote[2919].speaker |
SPEAKER_21 |
transcript.pyannote[2919].start |
14249.09534375 |
transcript.pyannote[2919].end |
14249.41596875 |
transcript.pyannote[2920].speaker |
SPEAKER_06 |
transcript.pyannote[2920].start |
14249.41596875 |
transcript.pyannote[2920].end |
14249.46659375 |
transcript.pyannote[2921].speaker |
SPEAKER_06 |
transcript.pyannote[2921].start |
14256.38534375 |
transcript.pyannote[2921].end |
14258.66346875 |
transcript.pyannote[2922].speaker |
SPEAKER_06 |
transcript.pyannote[2922].start |
14259.00096875 |
transcript.pyannote[2922].end |
14261.93721875 |
transcript.pyannote[2923].speaker |
SPEAKER_02 |
transcript.pyannote[2923].start |
14268.16409375 |
transcript.pyannote[2923].end |
14270.59409375 |
transcript.pyannote[2924].speaker |
SPEAKER_02 |
transcript.pyannote[2924].start |
14271.53909375 |
transcript.pyannote[2924].end |
14272.26471875 |
transcript.pyannote[2925].speaker |
SPEAKER_02 |
transcript.pyannote[2925].start |
14276.16284375 |
transcript.pyannote[2925].end |
14276.70284375 |
transcript.pyannote[2926].speaker |
SPEAKER_02 |
transcript.pyannote[2926].start |
14277.32721875 |
transcript.pyannote[2926].end |
14298.10034375 |
transcript.pyannote[2927].speaker |
SPEAKER_02 |
transcript.pyannote[2927].start |
14298.70784375 |
transcript.pyannote[2927].end |
14305.77846875 |
transcript.pyannote[2928].speaker |
SPEAKER_21 |
transcript.pyannote[2928].start |
14305.77846875 |
transcript.pyannote[2928].end |
14305.98096875 |
transcript.pyannote[2929].speaker |
SPEAKER_02 |
transcript.pyannote[2929].start |
14306.74034375 |
transcript.pyannote[2929].end |
14310.70596875 |
transcript.pyannote[2930].speaker |
SPEAKER_11 |
transcript.pyannote[2930].start |
14310.09846875 |
transcript.pyannote[2930].end |
14317.57409375 |
transcript.pyannote[2931].speaker |
SPEAKER_02 |
transcript.pyannote[2931].start |
14311.43159375 |
transcript.pyannote[2931].end |
14312.05596875 |
transcript.pyannote[2932].speaker |
SPEAKER_11 |
transcript.pyannote[2932].start |
14317.65846875 |
transcript.pyannote[2932].end |
14318.73846875 |
transcript.pyannote[2933].speaker |
SPEAKER_02 |
transcript.pyannote[2933].start |
14317.72596875 |
transcript.pyannote[2933].end |
14318.75534375 |
transcript.pyannote[2934].speaker |
SPEAKER_11 |
transcript.pyannote[2934].start |
14318.75534375 |
transcript.pyannote[2934].end |
14319.02534375 |
transcript.pyannote[2935].speaker |
SPEAKER_02 |
transcript.pyannote[2935].start |
14319.02534375 |
transcript.pyannote[2935].end |
14321.74221875 |
transcript.pyannote[2936].speaker |
SPEAKER_11 |
transcript.pyannote[2936].start |
14320.35846875 |
transcript.pyannote[2936].end |
14331.34409375 |
transcript.pyannote[2937].speaker |
SPEAKER_02 |
transcript.pyannote[2937].start |
14330.66909375 |
transcript.pyannote[2937].end |
14333.41971875 |
transcript.pyannote[2938].speaker |
SPEAKER_11 |
transcript.pyannote[2938].start |
14332.59284375 |
transcript.pyannote[2938].end |
14353.14659375 |
transcript.pyannote[2939].speaker |
SPEAKER_02 |
transcript.pyannote[2939].start |
14346.97034375 |
transcript.pyannote[2939].end |
14350.54784375 |
transcript.pyannote[2940].speaker |
SPEAKER_02 |
transcript.pyannote[2940].start |
14353.18034375 |
transcript.pyannote[2940].end |
14379.03284375 |
transcript.pyannote[2941].speaker |
SPEAKER_11 |
transcript.pyannote[2941].start |
14353.65284375 |
transcript.pyannote[2941].end |
14354.36159375 |
transcript.pyannote[2942].speaker |
SPEAKER_11 |
transcript.pyannote[2942].start |
14357.58471875 |
transcript.pyannote[2942].end |
14358.46221875 |
transcript.pyannote[2943].speaker |
SPEAKER_11 |
transcript.pyannote[2943].start |
14358.71534375 |
transcript.pyannote[2943].end |
14360.31846875 |
transcript.pyannote[2944].speaker |
SPEAKER_11 |
transcript.pyannote[2944].start |
14360.97659375 |
transcript.pyannote[2944].end |
14361.78659375 |
transcript.pyannote[2945].speaker |
SPEAKER_00 |
transcript.pyannote[2945].start |
14367.28784375 |
transcript.pyannote[2945].end |
14367.49034375 |
transcript.pyannote[2946].speaker |
SPEAKER_00 |
transcript.pyannote[2946].start |
14368.21596875 |
transcript.pyannote[2946].end |
14368.24971875 |
transcript.pyannote[2947].speaker |
SPEAKER_11 |
transcript.pyannote[2947].start |
14368.24971875 |
transcript.pyannote[2947].end |
14368.53659375 |
transcript.pyannote[2948].speaker |
SPEAKER_00 |
transcript.pyannote[2948].start |
14368.53659375 |
transcript.pyannote[2948].end |
14368.55346875 |
transcript.pyannote[2949].speaker |
SPEAKER_02 |
transcript.pyannote[2949].start |
14379.65721875 |
transcript.pyannote[2949].end |
14395.50284375 |
transcript.pyannote[2950].speaker |
SPEAKER_02 |
transcript.pyannote[2950].start |
14395.85721875 |
transcript.pyannote[2950].end |
14398.81034375 |
transcript.pyannote[2951].speaker |
SPEAKER_11 |
transcript.pyannote[2951].start |
14399.02971875 |
transcript.pyannote[2951].end |
14416.29284375 |
transcript.pyannote[2952].speaker |
SPEAKER_02 |
transcript.pyannote[2952].start |
14403.29909375 |
transcript.pyannote[2952].end |
14403.72096875 |
transcript.pyannote[2953].speaker |
SPEAKER_02 |
transcript.pyannote[2953].start |
14407.87221875 |
transcript.pyannote[2953].end |
14407.93971875 |
transcript.pyannote[2954].speaker |
SPEAKER_02 |
transcript.pyannote[2954].start |
14408.00721875 |
transcript.pyannote[2954].end |
14408.20971875 |
transcript.pyannote[2955].speaker |
SPEAKER_02 |
transcript.pyannote[2955].start |
14408.74971875 |
transcript.pyannote[2955].end |
14409.61034375 |
transcript.pyannote[2956].speaker |
SPEAKER_02 |
transcript.pyannote[2956].start |
14414.45346875 |
transcript.pyannote[2956].end |
14414.84159375 |
transcript.pyannote[2957].speaker |
SPEAKER_02 |
transcript.pyannote[2957].start |
14415.88784375 |
transcript.pyannote[2957].end |
14416.25909375 |
transcript.pyannote[2958].speaker |
SPEAKER_02 |
transcript.pyannote[2958].start |
14416.29284375 |
transcript.pyannote[2958].end |
14418.55409375 |
transcript.pyannote[2959].speaker |
SPEAKER_11 |
transcript.pyannote[2959].start |
14417.42346875 |
transcript.pyannote[2959].end |
14418.53721875 |
transcript.pyannote[2960].speaker |
SPEAKER_11 |
transcript.pyannote[2960].start |
14418.55409375 |
transcript.pyannote[2960].end |
14418.65534375 |
transcript.pyannote[2961].speaker |
SPEAKER_02 |
transcript.pyannote[2961].start |
14418.65534375 |
transcript.pyannote[2961].end |
14427.71721875 |
transcript.pyannote[2962].speaker |
SPEAKER_11 |
transcript.pyannote[2962].start |
14418.67221875 |
transcript.pyannote[2962].end |
14419.90409375 |
transcript.pyannote[2963].speaker |
SPEAKER_11 |
transcript.pyannote[2963].start |
14421.59159375 |
transcript.pyannote[2963].end |
14422.24971875 |
transcript.pyannote[2964].speaker |
SPEAKER_11 |
transcript.pyannote[2964].start |
14425.43909375 |
transcript.pyannote[2964].end |
14426.19846875 |
transcript.pyannote[2965].speaker |
SPEAKER_02 |
transcript.pyannote[2965].start |
14427.98721875 |
transcript.pyannote[2965].end |
14429.11784375 |
transcript.pyannote[2966].speaker |
SPEAKER_11 |
transcript.pyannote[2966].start |
14429.11784375 |
transcript.pyannote[2966].end |
14429.48909375 |
transcript.pyannote[2967].speaker |
SPEAKER_11 |
transcript.pyannote[2967].start |
14430.97409375 |
transcript.pyannote[2967].end |
14433.31971875 |
transcript.pyannote[2968].speaker |
SPEAKER_02 |
transcript.pyannote[2968].start |
14433.31971875 |
transcript.pyannote[2968].end |
14433.33659375 |
transcript.pyannote[2969].speaker |
SPEAKER_08 |
transcript.pyannote[2969].start |
14433.33659375 |
transcript.pyannote[2969].end |
14433.35346875 |
transcript.pyannote[2970].speaker |
SPEAKER_02 |
transcript.pyannote[2970].start |
14433.35346875 |
transcript.pyannote[2970].end |
14433.97784375 |
transcript.pyannote[2971].speaker |
SPEAKER_08 |
transcript.pyannote[2971].start |
14433.70784375 |
transcript.pyannote[2971].end |
14433.72471875 |
transcript.pyannote[2972].speaker |
SPEAKER_11 |
transcript.pyannote[2972].start |
14433.72471875 |
transcript.pyannote[2972].end |
14443.00596875 |
transcript.pyannote[2973].speaker |
SPEAKER_08 |
transcript.pyannote[2973].start |
14433.97784375 |
transcript.pyannote[2973].end |
14434.07909375 |
transcript.pyannote[2974].speaker |
SPEAKER_02 |
transcript.pyannote[2974].start |
14434.07909375 |
transcript.pyannote[2974].end |
14434.14659375 |
transcript.pyannote[2975].speaker |
SPEAKER_08 |
transcript.pyannote[2975].start |
14434.14659375 |
transcript.pyannote[2975].end |
14434.26471875 |
transcript.pyannote[2976].speaker |
SPEAKER_02 |
transcript.pyannote[2976].start |
14434.26471875 |
transcript.pyannote[2976].end |
14434.29846875 |
transcript.pyannote[2977].speaker |
SPEAKER_08 |
transcript.pyannote[2977].start |
14434.29846875 |
transcript.pyannote[2977].end |
14434.31534375 |
transcript.pyannote[2978].speaker |
SPEAKER_02 |
transcript.pyannote[2978].start |
14437.23471875 |
transcript.pyannote[2978].end |
14437.53846875 |
transcript.pyannote[2979].speaker |
SPEAKER_02 |
transcript.pyannote[2979].start |
14440.50846875 |
transcript.pyannote[2979].end |
14452.23659375 |
transcript.pyannote[2980].speaker |
SPEAKER_11 |
transcript.pyannote[2980].start |
14447.88284375 |
transcript.pyannote[2980].end |
14449.45221875 |
transcript.pyannote[2981].speaker |
SPEAKER_11 |
transcript.pyannote[2981].start |
14452.69221875 |
transcript.pyannote[2981].end |
14454.24471875 |
transcript.pyannote[2982].speaker |
SPEAKER_02 |
transcript.pyannote[2982].start |
14453.60346875 |
transcript.pyannote[2982].end |
14484.09659375 |
transcript.pyannote[2983].speaker |
SPEAKER_11 |
transcript.pyannote[2983].start |
14454.88596875 |
transcript.pyannote[2983].end |
14455.57784375 |
transcript.pyannote[2984].speaker |
SPEAKER_11 |
transcript.pyannote[2984].start |
14455.99971875 |
transcript.pyannote[2984].end |
14460.08346875 |
transcript.pyannote[2985].speaker |
SPEAKER_11 |
transcript.pyannote[2985].start |
14460.75846875 |
transcript.pyannote[2985].end |
14461.24784375 |
transcript.pyannote[2986].speaker |
SPEAKER_11 |
transcript.pyannote[2986].start |
14466.36096875 |
transcript.pyannote[2986].end |
14467.01909375 |
transcript.pyannote[2987].speaker |
SPEAKER_00 |
transcript.pyannote[2987].start |
14467.93034375 |
transcript.pyannote[2987].end |
14468.13284375 |
transcript.pyannote[2988].speaker |
SPEAKER_11 |
transcript.pyannote[2988].start |
14484.09659375 |
transcript.pyannote[2988].end |
14484.34971875 |
transcript.pyannote[2989].speaker |
SPEAKER_02 |
transcript.pyannote[2989].start |
14484.34971875 |
transcript.pyannote[2989].end |
14488.97346875 |
transcript.pyannote[2990].speaker |
SPEAKER_11 |
transcript.pyannote[2990].start |
14484.36659375 |
transcript.pyannote[2990].end |
14486.37471875 |
transcript.pyannote[2991].speaker |
SPEAKER_11 |
transcript.pyannote[2991].start |
14488.97346875 |
transcript.pyannote[2991].end |
14498.05221875 |
transcript.pyannote[2992].speaker |
SPEAKER_02 |
transcript.pyannote[2992].start |
14497.91721875 |
transcript.pyannote[2992].end |
14513.77971875 |
transcript.pyannote[2993].speaker |
SPEAKER_11 |
transcript.pyannote[2993].start |
14498.23784375 |
transcript.pyannote[2993].end |
14501.86596875 |
transcript.pyannote[2994].speaker |
SPEAKER_11 |
transcript.pyannote[2994].start |
14506.18596875 |
transcript.pyannote[2994].end |
14506.33784375 |
transcript.pyannote[2995].speaker |
SPEAKER_11 |
transcript.pyannote[2995].start |
14506.38846875 |
transcript.pyannote[2995].end |
14506.40534375 |
transcript.pyannote[2996].speaker |
SPEAKER_11 |
transcript.pyannote[2996].start |
14514.47159375 |
transcript.pyannote[2996].end |
14531.51534375 |
transcript.pyannote[2997].speaker |
SPEAKER_02 |
transcript.pyannote[2997].start |
14515.41659375 |
transcript.pyannote[2997].end |
14516.02409375 |
transcript.pyannote[2998].speaker |
SPEAKER_02 |
transcript.pyannote[2998].start |
14525.01846875 |
transcript.pyannote[2998].end |
14527.19534375 |
transcript.pyannote[2999].speaker |
SPEAKER_02 |
transcript.pyannote[2999].start |
14529.33846875 |
transcript.pyannote[2999].end |
14529.91221875 |
transcript.pyannote[3000].speaker |
SPEAKER_02 |
transcript.pyannote[3000].start |
14530.50284375 |
transcript.pyannote[3000].end |
14531.83596875 |
transcript.pyannote[3001].speaker |
SPEAKER_11 |
transcript.pyannote[3001].start |
14532.57846875 |
transcript.pyannote[3001].end |
14533.03409375 |
transcript.pyannote[3002].speaker |
SPEAKER_02 |
transcript.pyannote[3002].start |
14533.03409375 |
transcript.pyannote[3002].end |
14556.47346875 |
transcript.pyannote[3003].speaker |
SPEAKER_11 |
transcript.pyannote[3003].start |
14533.62471875 |
transcript.pyannote[3003].end |
14533.96221875 |
transcript.pyannote[3004].speaker |
SPEAKER_11 |
transcript.pyannote[3004].start |
14537.50596875 |
transcript.pyannote[3004].end |
14538.63659375 |
transcript.pyannote[3005].speaker |
SPEAKER_11 |
transcript.pyannote[3005].start |
14543.49659375 |
transcript.pyannote[3005].end |
14547.68159375 |
transcript.pyannote[3006].speaker |
SPEAKER_11 |
transcript.pyannote[3006].start |
14549.77409375 |
transcript.pyannote[3006].end |
14550.28034375 |
transcript.pyannote[3007].speaker |
SPEAKER_02 |
transcript.pyannote[3007].start |
14557.13159375 |
transcript.pyannote[3007].end |
14563.20659375 |
transcript.pyannote[3008].speaker |
SPEAKER_11 |
transcript.pyannote[3008].start |
14557.94159375 |
transcript.pyannote[3008].end |
14559.34221875 |
transcript.pyannote[3009].speaker |
SPEAKER_04 |
transcript.pyannote[3009].start |
14559.34221875 |
transcript.pyannote[3009].end |
14559.37596875 |
transcript.pyannote[3010].speaker |
SPEAKER_02 |
transcript.pyannote[3010].start |
14564.35409375 |
transcript.pyannote[3010].end |
14565.33284375 |
transcript.pyannote[3011].speaker |
SPEAKER_02 |
transcript.pyannote[3011].start |
14565.53534375 |
transcript.pyannote[3011].end |
14569.39971875 |
transcript.pyannote[3012].speaker |
SPEAKER_02 |
transcript.pyannote[3012].start |
14570.59784375 |
transcript.pyannote[3012].end |
14571.96471875 |
transcript.pyannote[3013].speaker |
SPEAKER_11 |
transcript.pyannote[3013].start |
14571.96471875 |
transcript.pyannote[3013].end |
14572.25159375 |
transcript.pyannote[3014].speaker |
SPEAKER_02 |
transcript.pyannote[3014].start |
14572.48784375 |
transcript.pyannote[3014].end |
14572.52159375 |
transcript.pyannote[3015].speaker |
SPEAKER_11 |
transcript.pyannote[3015].start |
14572.52159375 |
transcript.pyannote[3015].end |
14574.86721875 |
transcript.pyannote[3016].speaker |
SPEAKER_02 |
transcript.pyannote[3016].start |
14574.34409375 |
transcript.pyannote[3016].end |
14575.55909375 |
transcript.pyannote[3017].speaker |
SPEAKER_02 |
transcript.pyannote[3017].start |
14576.99346875 |
transcript.pyannote[3017].end |
14578.32659375 |
transcript.pyannote[3018].speaker |
SPEAKER_02 |
transcript.pyannote[3018].start |
14579.32221875 |
transcript.pyannote[3018].end |
14579.40659375 |
transcript.pyannote[3019].speaker |
SPEAKER_11 |
transcript.pyannote[3019].start |
14579.40659375 |
transcript.pyannote[3019].end |
14580.65534375 |
transcript.pyannote[3020].speaker |
SPEAKER_02 |
transcript.pyannote[3020].start |
14579.47409375 |
transcript.pyannote[3020].end |
14594.61096875 |
transcript.pyannote[3021].speaker |
SPEAKER_11 |
transcript.pyannote[3021].start |
14581.43159375 |
transcript.pyannote[3021].end |
14584.03034375 |
transcript.pyannote[3022].speaker |
SPEAKER_11 |
transcript.pyannote[3022].start |
14584.92471875 |
transcript.pyannote[3022].end |
14585.02596875 |
transcript.pyannote[3023].speaker |
SPEAKER_28 |
transcript.pyannote[3023].start |
14585.02596875 |
transcript.pyannote[3023].end |
14587.03409375 |
transcript.pyannote[3024].speaker |
SPEAKER_11 |
transcript.pyannote[3024].start |
14587.03409375 |
transcript.pyannote[3024].end |
14587.42221875 |
transcript.pyannote[3025].speaker |
SPEAKER_11 |
transcript.pyannote[3025].start |
14593.14284375 |
transcript.pyannote[3025].end |
14594.10471875 |
transcript.pyannote[3026].speaker |
SPEAKER_02 |
transcript.pyannote[3026].start |
14594.84721875 |
transcript.pyannote[3026].end |
14610.25409375 |
transcript.pyannote[3027].speaker |
SPEAKER_11 |
transcript.pyannote[3027].start |
14602.17096875 |
transcript.pyannote[3027].end |
14602.23846875 |
transcript.pyannote[3028].speaker |
SPEAKER_21 |
transcript.pyannote[3028].start |
14602.23846875 |
transcript.pyannote[3028].end |
14602.81221875 |
transcript.pyannote[3029].speaker |
SPEAKER_11 |
transcript.pyannote[3029].start |
14602.81221875 |
transcript.pyannote[3029].end |
14602.84596875 |
transcript.pyannote[3030].speaker |
SPEAKER_09 |
transcript.pyannote[3030].start |
14602.84596875 |
transcript.pyannote[3030].end |
14602.87971875 |
transcript.pyannote[3031].speaker |
SPEAKER_09 |
transcript.pyannote[3031].start |
14603.89221875 |
transcript.pyannote[3031].end |
14603.90909375 |
transcript.pyannote[3032].speaker |
SPEAKER_21 |
transcript.pyannote[3032].start |
14603.90909375 |
transcript.pyannote[3032].end |
14603.97659375 |
transcript.pyannote[3033].speaker |
SPEAKER_11 |
transcript.pyannote[3033].start |
14608.26284375 |
transcript.pyannote[3033].end |
14608.90409375 |
transcript.pyannote[3034].speaker |
SPEAKER_11 |
transcript.pyannote[3034].start |
14609.03909375 |
transcript.pyannote[3034].end |
14610.18659375 |
transcript.pyannote[3035].speaker |
SPEAKER_11 |
transcript.pyannote[3035].start |
14610.25409375 |
transcript.pyannote[3035].end |
14610.54096875 |
transcript.pyannote[3036].speaker |
SPEAKER_02 |
transcript.pyannote[3036].start |
14610.54096875 |
transcript.pyannote[3036].end |
14616.29534375 |
transcript.pyannote[3037].speaker |
SPEAKER_11 |
transcript.pyannote[3037].start |
14610.76034375 |
transcript.pyannote[3037].end |
14614.89471875 |
transcript.pyannote[3038].speaker |
SPEAKER_02 |
transcript.pyannote[3038].start |
14617.91534375 |
transcript.pyannote[3038].end |
14620.85159375 |
transcript.pyannote[3039].speaker |
SPEAKER_11 |
transcript.pyannote[3039].start |
14621.23971875 |
transcript.pyannote[3039].end |
14624.31096875 |
transcript.pyannote[3040].speaker |
SPEAKER_11 |
transcript.pyannote[3040].start |
14625.67784375 |
transcript.pyannote[3040].end |
14626.82534375 |
transcript.pyannote[3041].speaker |
SPEAKER_02 |
transcript.pyannote[3041].start |
14627.44971875 |
transcript.pyannote[3041].end |
14629.28909375 |
transcript.pyannote[3042].speaker |
SPEAKER_11 |
transcript.pyannote[3042].start |
14627.50034375 |
transcript.pyannote[3042].end |
14629.27221875 |
transcript.pyannote[3043].speaker |
SPEAKER_11 |
transcript.pyannote[3043].start |
14629.28909375 |
transcript.pyannote[3043].end |
14632.02284375 |
transcript.pyannote[3044].speaker |
SPEAKER_02 |
transcript.pyannote[3044].start |
14632.02284375 |
transcript.pyannote[3044].end |
14680.92659375 |
transcript.pyannote[3045].speaker |
SPEAKER_11 |
transcript.pyannote[3045].start |
14633.08596875 |
transcript.pyannote[3045].end |
14633.44034375 |
transcript.pyannote[3046].speaker |
SPEAKER_11 |
transcript.pyannote[3046].start |
14638.09784375 |
transcript.pyannote[3046].end |
14640.96659375 |
transcript.pyannote[3047].speaker |
SPEAKER_21 |
transcript.pyannote[3047].start |
14640.96659375 |
transcript.pyannote[3047].end |
14641.60784375 |
transcript.pyannote[3048].speaker |
SPEAKER_11 |
transcript.pyannote[3048].start |
14646.82221875 |
transcript.pyannote[3048].end |
14647.95284375 |
transcript.pyannote[3049].speaker |
SPEAKER_11 |
transcript.pyannote[3049].start |
14681.17971875 |
transcript.pyannote[3049].end |
14681.34846875 |
transcript.pyannote[3050].speaker |
SPEAKER_02 |
transcript.pyannote[3050].start |
14681.34846875 |
transcript.pyannote[3050].end |
14682.02346875 |
transcript.pyannote[3051].speaker |
SPEAKER_11 |
transcript.pyannote[3051].start |
14682.02346875 |
transcript.pyannote[3051].end |
14688.04784375 |
transcript.pyannote[3052].speaker |
SPEAKER_02 |
transcript.pyannote[3052].start |
14682.41159375 |
transcript.pyannote[3052].end |
14685.21284375 |
transcript.pyannote[3053].speaker |
SPEAKER_11 |
transcript.pyannote[3053].start |
14688.90846875 |
transcript.pyannote[3053].end |
14690.57909375 |
transcript.pyannote[3054].speaker |
SPEAKER_11 |
transcript.pyannote[3054].start |
14691.08534375 |
transcript.pyannote[3054].end |
14692.90784375 |
transcript.pyannote[3055].speaker |
SPEAKER_11 |
transcript.pyannote[3055].start |
14693.27909375 |
transcript.pyannote[3055].end |
14693.92034375 |
transcript.pyannote[3056].speaker |
SPEAKER_11 |
transcript.pyannote[3056].start |
14694.05534375 |
transcript.pyannote[3056].end |
14699.35409375 |
transcript.pyannote[3057].speaker |
SPEAKER_02 |
transcript.pyannote[3057].start |
14699.28659375 |
transcript.pyannote[3057].end |
14719.77284375 |
transcript.pyannote[3058].speaker |
SPEAKER_11 |
transcript.pyannote[3058].start |
14699.62409375 |
transcript.pyannote[3058].end |
14701.44659375 |
transcript.pyannote[3059].speaker |
SPEAKER_11 |
transcript.pyannote[3059].start |
14702.66159375 |
transcript.pyannote[3059].end |
14703.72471875 |
transcript.pyannote[3060].speaker |
SPEAKER_11 |
transcript.pyannote[3060].start |
14704.41659375 |
transcript.pyannote[3060].end |
14704.83846875 |
transcript.pyannote[3061].speaker |
SPEAKER_00 |
transcript.pyannote[3061].start |
14707.70721875 |
transcript.pyannote[3061].end |
14711.45346875 |
transcript.pyannote[3062].speaker |
SPEAKER_11 |
transcript.pyannote[3062].start |
14711.45346875 |
transcript.pyannote[3062].end |
14712.02721875 |
transcript.pyannote[3063].speaker |
SPEAKER_06 |
transcript.pyannote[3063].start |
14712.02721875 |
transcript.pyannote[3063].end |
14713.09034375 |
transcript.pyannote[3064].speaker |
SPEAKER_11 |
transcript.pyannote[3064].start |
14713.09034375 |
transcript.pyannote[3064].end |
14713.14096875 |
transcript.pyannote[3065].speaker |
SPEAKER_06 |
transcript.pyannote[3065].start |
14713.14096875 |
transcript.pyannote[3065].end |
14714.99721875 |
transcript.pyannote[3066].speaker |
SPEAKER_06 |
transcript.pyannote[3066].start |
14719.09784375 |
transcript.pyannote[3066].end |
14719.31721875 |
transcript.pyannote[3067].speaker |
SPEAKER_06 |
transcript.pyannote[3067].start |
14721.59534375 |
transcript.pyannote[3067].end |
14725.78034375 |
transcript.pyannote[3068].speaker |
SPEAKER_06 |
transcript.pyannote[3068].start |
14739.12846875 |
transcript.pyannote[3068].end |
14742.30096875 |
transcript.pyannote[3069].speaker |
SPEAKER_28 |
transcript.pyannote[3069].start |
14744.35971875 |
transcript.pyannote[3069].end |
14749.89471875 |
transcript.pyannote[3070].speaker |
SPEAKER_06 |
transcript.pyannote[3070].start |
14746.35096875 |
transcript.pyannote[3070].end |
14746.97534375 |
transcript.pyannote[3071].speaker |
SPEAKER_06 |
transcript.pyannote[3071].start |
14748.39284375 |
transcript.pyannote[3071].end |
14748.56159375 |
transcript.pyannote[3072].speaker |
SPEAKER_28 |
transcript.pyannote[3072].start |
14752.67909375 |
transcript.pyannote[3072].end |
14753.87721875 |
transcript.pyannote[3073].speaker |
SPEAKER_28 |
transcript.pyannote[3073].start |
14755.78409375 |
transcript.pyannote[3073].end |
14756.54346875 |
transcript.pyannote[3074].speaker |
SPEAKER_28 |
transcript.pyannote[3074].start |
14757.87659375 |
transcript.pyannote[3074].end |
14758.18034375 |
transcript.pyannote[3075].speaker |
SPEAKER_28 |
transcript.pyannote[3075].start |
14759.07471875 |
transcript.pyannote[3075].end |
14806.45971875 |
transcript.pyannote[3076].speaker |
SPEAKER_21 |
transcript.pyannote[3076].start |
14777.53596875 |
transcript.pyannote[3076].end |
14777.83971875 |
transcript.pyannote[3077].speaker |
SPEAKER_28 |
transcript.pyannote[3077].start |
14806.79721875 |
transcript.pyannote[3077].end |
14840.86784375 |
transcript.pyannote[3078].speaker |
SPEAKER_28 |
transcript.pyannote[3078].start |
14841.15471875 |
transcript.pyannote[3078].end |
14844.85034375 |
transcript.pyannote[3079].speaker |
SPEAKER_28 |
transcript.pyannote[3079].start |
14844.91784375 |
transcript.pyannote[3079].end |
14845.01909375 |
transcript.pyannote[3080].speaker |
SPEAKER_28 |
transcript.pyannote[3080].start |
14845.18784375 |
transcript.pyannote[3080].end |
14860.61159375 |
transcript.pyannote[3081].speaker |
SPEAKER_28 |
transcript.pyannote[3081].start |
14861.06721875 |
transcript.pyannote[3081].end |
14864.47596875 |
transcript.pyannote[3082].speaker |
SPEAKER_28 |
transcript.pyannote[3082].start |
14864.89784375 |
transcript.pyannote[3082].end |
14879.27534375 |
transcript.pyannote[3083].speaker |
SPEAKER_28 |
transcript.pyannote[3083].start |
14879.35971875 |
transcript.pyannote[3083].end |
14887.74659375 |
transcript.pyannote[3084].speaker |
SPEAKER_28 |
transcript.pyannote[3084].start |
14888.35409375 |
transcript.pyannote[3084].end |
14904.92534375 |
transcript.pyannote[3085].speaker |
SPEAKER_11 |
transcript.pyannote[3085].start |
14897.90534375 |
transcript.pyannote[3085].end |
14898.24284375 |
transcript.pyannote[3086].speaker |
SPEAKER_28 |
transcript.pyannote[3086].start |
14905.33034375 |
transcript.pyannote[3086].end |
14906.12346875 |
transcript.pyannote[3087].speaker |
SPEAKER_28 |
transcript.pyannote[3087].start |
14906.39346875 |
transcript.pyannote[3087].end |
14927.62221875 |
transcript.pyannote[3088].speaker |
SPEAKER_28 |
transcript.pyannote[3088].start |
14928.78659375 |
transcript.pyannote[3088].end |
14933.00534375 |
transcript.pyannote[3089].speaker |
SPEAKER_11 |
transcript.pyannote[3089].start |
14932.65096875 |
transcript.pyannote[3089].end |
14932.85346875 |
transcript.pyannote[3090].speaker |
SPEAKER_11 |
transcript.pyannote[3090].start |
14933.00534375 |
transcript.pyannote[3090].end |
14933.12346875 |
transcript.pyannote[3091].speaker |
SPEAKER_28 |
transcript.pyannote[3091].start |
14933.12346875 |
transcript.pyannote[3091].end |
14935.89096875 |
transcript.pyannote[3092].speaker |
SPEAKER_11 |
transcript.pyannote[3092].start |
14933.15721875 |
transcript.pyannote[3092].end |
14933.39346875 |
transcript.pyannote[3093].speaker |
SPEAKER_28 |
transcript.pyannote[3093].start |
14935.95846875 |
transcript.pyannote[3093].end |
14944.71659375 |
transcript.pyannote[3094].speaker |
SPEAKER_28 |
transcript.pyannote[3094].start |
14946.37034375 |
transcript.pyannote[3094].end |
14964.47721875 |
transcript.pyannote[3095].speaker |
SPEAKER_28 |
transcript.pyannote[3095].start |
14965.23659375 |
transcript.pyannote[3095].end |
14966.19846875 |
transcript.pyannote[3096].speaker |
SPEAKER_28 |
transcript.pyannote[3096].start |
14966.99159375 |
transcript.pyannote[3096].end |
14967.81846875 |
transcript.pyannote[3097].speaker |
SPEAKER_28 |
transcript.pyannote[3097].start |
14968.12221875 |
transcript.pyannote[3097].end |
14986.00971875 |
transcript.pyannote[3098].speaker |
SPEAKER_28 |
transcript.pyannote[3098].start |
14986.78596875 |
transcript.pyannote[3098].end |
14990.51534375 |
transcript.pyannote[3099].speaker |
SPEAKER_28 |
transcript.pyannote[3099].start |
14990.86971875 |
transcript.pyannote[3099].end |
15005.16284375 |
transcript.pyannote[3100].speaker |
SPEAKER_28 |
transcript.pyannote[3100].start |
15005.41596875 |
transcript.pyannote[3100].end |
15011.87909375 |
transcript.pyannote[3101].speaker |
SPEAKER_00 |
transcript.pyannote[3101].start |
15008.68971875 |
transcript.pyannote[3101].end |
15008.80784375 |
transcript.pyannote[3102].speaker |
SPEAKER_28 |
transcript.pyannote[3102].start |
15012.38534375 |
transcript.pyannote[3102].end |
15016.06409375 |
transcript.pyannote[3103].speaker |
SPEAKER_28 |
transcript.pyannote[3103].start |
15016.70534375 |
transcript.pyannote[3103].end |
15039.70596875 |
transcript.pyannote[3104].speaker |
SPEAKER_28 |
transcript.pyannote[3104].start |
15040.34721875 |
transcript.pyannote[3104].end |
15041.64659375 |
transcript.pyannote[3105].speaker |
SPEAKER_28 |
transcript.pyannote[3105].start |
15042.05159375 |
transcript.pyannote[3105].end |
15058.58909375 |
transcript.pyannote[3106].speaker |
SPEAKER_21 |
transcript.pyannote[3106].start |
15058.62284375 |
transcript.pyannote[3106].end |
15058.84221875 |
transcript.pyannote[3107].speaker |
SPEAKER_28 |
transcript.pyannote[3107].start |
15058.84221875 |
transcript.pyannote[3107].end |
15066.31784375 |
transcript.pyannote[3108].speaker |
SPEAKER_28 |
transcript.pyannote[3108].start |
15066.70596875 |
transcript.pyannote[3108].end |
15069.20346875 |
transcript.pyannote[3109].speaker |
SPEAKER_28 |
transcript.pyannote[3109].start |
15069.86159375 |
transcript.pyannote[3109].end |
15079.00784375 |
transcript.pyannote[3110].speaker |
SPEAKER_28 |
transcript.pyannote[3110].start |
15079.36221875 |
transcript.pyannote[3110].end |
15080.69534375 |
transcript.pyannote[3111].speaker |
SPEAKER_28 |
transcript.pyannote[3111].start |
15080.89784375 |
transcript.pyannote[3111].end |
15099.66284375 |
transcript.pyannote[3112].speaker |
SPEAKER_21 |
transcript.pyannote[3112].start |
15087.31034375 |
transcript.pyannote[3112].end |
15087.42846875 |
transcript.pyannote[3113].speaker |
SPEAKER_21 |
transcript.pyannote[3113].start |
15087.68159375 |
transcript.pyannote[3113].end |
15087.69846875 |
transcript.pyannote[3114].speaker |
SPEAKER_21 |
transcript.pyannote[3114].start |
15087.73221875 |
transcript.pyannote[3114].end |
15089.48721875 |
transcript.pyannote[3115].speaker |
SPEAKER_28 |
transcript.pyannote[3115].start |
15100.30409375 |
transcript.pyannote[3115].end |
15118.27596875 |
transcript.pyannote[3116].speaker |
SPEAKER_28 |
transcript.pyannote[3116].start |
15118.88346875 |
transcript.pyannote[3116].end |
15130.37534375 |
transcript.pyannote[3117].speaker |
SPEAKER_28 |
transcript.pyannote[3117].start |
15130.76346875 |
transcript.pyannote[3117].end |
15134.86409375 |
transcript.pyannote[3118].speaker |
SPEAKER_28 |
transcript.pyannote[3118].start |
15135.97784375 |
transcript.pyannote[3118].end |
15135.99471875 |
transcript.pyannote[3119].speaker |
SPEAKER_28 |
transcript.pyannote[3119].start |
15136.29846875 |
transcript.pyannote[3119].end |
15136.61909375 |
transcript.pyannote[3120].speaker |
SPEAKER_28 |
transcript.pyannote[3120].start |
15137.24346875 |
transcript.pyannote[3120].end |
15157.15596875 |
transcript.pyannote[3121].speaker |
SPEAKER_28 |
transcript.pyannote[3121].start |
15157.69596875 |
transcript.pyannote[3121].end |
15185.64096875 |
transcript.pyannote[3122].speaker |
SPEAKER_28 |
transcript.pyannote[3122].start |
15186.38346875 |
transcript.pyannote[3122].end |
15189.11721875 |
transcript.pyannote[3123].speaker |
SPEAKER_28 |
transcript.pyannote[3123].start |
15189.72471875 |
transcript.pyannote[3123].end |
15196.84596875 |
transcript.pyannote[3124].speaker |
SPEAKER_28 |
transcript.pyannote[3124].start |
15197.08221875 |
transcript.pyannote[3124].end |
15201.50346875 |
transcript.pyannote[3125].speaker |
SPEAKER_28 |
transcript.pyannote[3125].start |
15202.16159375 |
transcript.pyannote[3125].end |
15203.27534375 |
transcript.pyannote[3126].speaker |
SPEAKER_28 |
transcript.pyannote[3126].start |
15203.68034375 |
transcript.pyannote[3126].end |
15210.19409375 |
transcript.pyannote[3127].speaker |
SPEAKER_28 |
transcript.pyannote[3127].start |
15210.44721875 |
transcript.pyannote[3127].end |
15214.91909375 |
transcript.pyannote[3128].speaker |
SPEAKER_28 |
transcript.pyannote[3128].start |
15215.15534375 |
transcript.pyannote[3128].end |
15244.63596875 |
transcript.pyannote[3129].speaker |
SPEAKER_06 |
transcript.pyannote[3129].start |
15246.47534375 |
transcript.pyannote[3129].end |
15250.93034375 |
transcript.pyannote[3130].speaker |
SPEAKER_15 |
transcript.pyannote[3130].start |
15261.57846875 |
transcript.pyannote[3130].end |
15262.79346875 |
transcript.pyannote[3131].speaker |
SPEAKER_06 |
transcript.pyannote[3131].start |
15263.45159375 |
transcript.pyannote[3131].end |
15264.43034375 |
transcript.pyannote[3132].speaker |
SPEAKER_06 |
transcript.pyannote[3132].start |
15268.61534375 |
transcript.pyannote[3132].end |
15268.96971875 |
transcript.pyannote[3133].speaker |
SPEAKER_11 |
transcript.pyannote[3133].start |
15268.96971875 |
transcript.pyannote[3133].end |
15269.22284375 |
transcript.pyannote[3134].speaker |
SPEAKER_15 |
transcript.pyannote[3134].start |
15269.98221875 |
transcript.pyannote[3134].end |
15278.67284375 |
transcript.pyannote[3135].speaker |
SPEAKER_15 |
transcript.pyannote[3135].start |
15279.16221875 |
transcript.pyannote[3135].end |
15301.06596875 |
transcript.pyannote[3136].speaker |
SPEAKER_15 |
transcript.pyannote[3136].start |
15302.28096875 |
transcript.pyannote[3136].end |
15302.68596875 |
transcript.pyannote[3137].speaker |
SPEAKER_15 |
transcript.pyannote[3137].start |
15303.05721875 |
transcript.pyannote[3137].end |
15331.33971875 |
transcript.pyannote[3138].speaker |
SPEAKER_15 |
transcript.pyannote[3138].start |
15331.94721875 |
transcript.pyannote[3138].end |
15339.69284375 |
transcript.pyannote[3139].speaker |
SPEAKER_15 |
transcript.pyannote[3139].start |
15340.14846875 |
transcript.pyannote[3139].end |
15357.17534375 |
transcript.pyannote[3140].speaker |
SPEAKER_15 |
transcript.pyannote[3140].start |
15358.35659375 |
transcript.pyannote[3140].end |
15364.92096875 |
transcript.pyannote[3141].speaker |
SPEAKER_15 |
transcript.pyannote[3141].start |
15364.95471875 |
transcript.pyannote[3141].end |
15366.54096875 |
transcript.pyannote[3142].speaker |
SPEAKER_15 |
transcript.pyannote[3142].start |
15366.84471875 |
transcript.pyannote[3142].end |
15367.94159375 |
transcript.pyannote[3143].speaker |
SPEAKER_15 |
transcript.pyannote[3143].start |
15368.83596875 |
transcript.pyannote[3143].end |
15377.34096875 |
transcript.pyannote[3144].speaker |
SPEAKER_15 |
transcript.pyannote[3144].start |
15377.93159375 |
transcript.pyannote[3144].end |
15382.31909375 |
transcript.pyannote[3145].speaker |
SPEAKER_15 |
transcript.pyannote[3145].start |
15382.43721875 |
transcript.pyannote[3145].end |
15383.06159375 |
transcript.pyannote[3146].speaker |
SPEAKER_15 |
transcript.pyannote[3146].start |
15384.00659375 |
transcript.pyannote[3146].end |
15393.70971875 |
transcript.pyannote[3147].speaker |
SPEAKER_15 |
transcript.pyannote[3147].start |
15394.45221875 |
transcript.pyannote[3147].end |
15395.07659375 |
transcript.pyannote[3148].speaker |
SPEAKER_15 |
transcript.pyannote[3148].start |
15395.66721875 |
transcript.pyannote[3148].end |
15397.00034375 |
transcript.pyannote[3149].speaker |
SPEAKER_15 |
transcript.pyannote[3149].start |
15398.01284375 |
transcript.pyannote[3149].end |
15399.44721875 |
transcript.pyannote[3150].speaker |
SPEAKER_15 |
transcript.pyannote[3150].start |
15399.63284375 |
transcript.pyannote[3150].end |
15401.80971875 |
transcript.pyannote[3151].speaker |
SPEAKER_15 |
transcript.pyannote[3151].start |
15402.87284375 |
transcript.pyannote[3151].end |
15405.18471875 |
transcript.pyannote[3152].speaker |
SPEAKER_15 |
transcript.pyannote[3152].start |
15405.94409375 |
transcript.pyannote[3152].end |
15408.10409375 |
transcript.pyannote[3153].speaker |
SPEAKER_11 |
transcript.pyannote[3153].start |
15409.26846875 |
transcript.pyannote[3153].end |
15410.12909375 |
transcript.pyannote[3154].speaker |
SPEAKER_11 |
transcript.pyannote[3154].start |
15410.28096875 |
transcript.pyannote[3154].end |
15412.66034375 |
transcript.pyannote[3155].speaker |
SPEAKER_11 |
transcript.pyannote[3155].start |
15413.57159375 |
transcript.pyannote[3155].end |
15421.92471875 |
transcript.pyannote[3156].speaker |
SPEAKER_11 |
transcript.pyannote[3156].start |
15422.44784375 |
transcript.pyannote[3156].end |
15426.90284375 |
transcript.pyannote[3157].speaker |
SPEAKER_15 |
transcript.pyannote[3157].start |
15426.76784375 |
transcript.pyannote[3157].end |
15431.57721875 |
transcript.pyannote[3158].speaker |
SPEAKER_15 |
transcript.pyannote[3158].start |
15432.26909375 |
transcript.pyannote[3158].end |
15433.51784375 |
transcript.pyannote[3159].speaker |
SPEAKER_15 |
transcript.pyannote[3159].start |
15434.36159375 |
transcript.pyannote[3159].end |
15444.31784375 |
transcript.pyannote[3160].speaker |
SPEAKER_15 |
transcript.pyannote[3160].start |
15444.58784375 |
transcript.pyannote[3160].end |
15447.87846875 |
transcript.pyannote[3161].speaker |
SPEAKER_11 |
transcript.pyannote[3161].start |
15447.99659375 |
transcript.pyannote[3161].end |
15448.85721875 |
transcript.pyannote[3162].speaker |
SPEAKER_15 |
transcript.pyannote[3162].start |
15448.78971875 |
transcript.pyannote[3162].end |
15451.42221875 |
transcript.pyannote[3163].speaker |
SPEAKER_11 |
transcript.pyannote[3163].start |
15449.93721875 |
transcript.pyannote[3163].end |
15456.16409375 |
transcript.pyannote[3164].speaker |
SPEAKER_15 |
transcript.pyannote[3164].start |
15455.20221875 |
transcript.pyannote[3164].end |
15459.23534375 |
transcript.pyannote[3165].speaker |
SPEAKER_15 |
transcript.pyannote[3165].start |
15460.12971875 |
transcript.pyannote[3165].end |
15476.31284375 |
transcript.pyannote[3166].speaker |
SPEAKER_21 |
transcript.pyannote[3166].start |
15476.04284375 |
transcript.pyannote[3166].end |
15476.75159375 |
transcript.pyannote[3167].speaker |
SPEAKER_15 |
transcript.pyannote[3167].start |
15476.75159375 |
transcript.pyannote[3167].end |
15500.68034375 |
transcript.pyannote[3168].speaker |
SPEAKER_11 |
transcript.pyannote[3168].start |
15500.51159375 |
transcript.pyannote[3168].end |
15500.66346875 |
transcript.pyannote[3169].speaker |
SPEAKER_11 |
transcript.pyannote[3169].start |
15500.68034375 |
transcript.pyannote[3169].end |
15500.78159375 |
transcript.pyannote[3170].speaker |
SPEAKER_11 |
transcript.pyannote[3170].start |
15500.95034375 |
transcript.pyannote[3170].end |
15508.00409375 |
transcript.pyannote[3171].speaker |
SPEAKER_15 |
transcript.pyannote[3171].start |
15506.35034375 |
transcript.pyannote[3171].end |
15518.95596875 |
transcript.pyannote[3172].speaker |
SPEAKER_11 |
transcript.pyannote[3172].start |
15512.05409375 |
transcript.pyannote[3172].end |
15512.84721875 |
transcript.pyannote[3173].speaker |
SPEAKER_11 |
transcript.pyannote[3173].start |
15514.58534375 |
transcript.pyannote[3173].end |
15515.04096875 |
transcript.pyannote[3174].speaker |
SPEAKER_11 |
transcript.pyannote[3174].start |
15515.05784375 |
transcript.pyannote[3174].end |
15515.07471875 |
transcript.pyannote[3175].speaker |
SPEAKER_15 |
transcript.pyannote[3175].start |
15519.39471875 |
transcript.pyannote[3175].end |
15522.12846875 |
transcript.pyannote[3176].speaker |
SPEAKER_15 |
transcript.pyannote[3176].start |
15522.49971875 |
transcript.pyannote[3176].end |
15531.78096875 |
transcript.pyannote[3177].speaker |
SPEAKER_15 |
transcript.pyannote[3177].start |
15532.33784375 |
transcript.pyannote[3177].end |
15534.61596875 |
transcript.pyannote[3178].speaker |
SPEAKER_15 |
transcript.pyannote[3178].start |
15534.71721875 |
transcript.pyannote[3178].end |
15537.19784375 |
transcript.pyannote[3179].speaker |
SPEAKER_15 |
transcript.pyannote[3179].start |
15538.81784375 |
transcript.pyannote[3179].end |
15539.81346875 |
transcript.pyannote[3180].speaker |
SPEAKER_15 |
transcript.pyannote[3180].start |
15540.35346875 |
transcript.pyannote[3180].end |
15541.95659375 |
transcript.pyannote[3181].speaker |
SPEAKER_15 |
transcript.pyannote[3181].start |
15542.29409375 |
transcript.pyannote[3181].end |
15543.37409375 |
transcript.pyannote[3182].speaker |
SPEAKER_15 |
transcript.pyannote[3182].start |
15544.21784375 |
transcript.pyannote[3182].end |
15544.70721875 |
transcript.pyannote[3183].speaker |
SPEAKER_15 |
transcript.pyannote[3183].start |
15546.10784375 |
transcript.pyannote[3183].end |
15547.32284375 |
transcript.pyannote[3184].speaker |
SPEAKER_15 |
transcript.pyannote[3184].start |
15547.50846875 |
transcript.pyannote[3184].end |
15548.58846875 |
transcript.pyannote[3185].speaker |
SPEAKER_15 |
transcript.pyannote[3185].start |
15549.22971875 |
transcript.pyannote[3185].end |
15551.65971875 |
transcript.pyannote[3186].speaker |
SPEAKER_15 |
transcript.pyannote[3186].start |
15551.79471875 |
transcript.pyannote[3186].end |
15558.79784375 |
transcript.pyannote[3187].speaker |
SPEAKER_15 |
transcript.pyannote[3187].start |
15559.28721875 |
transcript.pyannote[3187].end |
15560.02971875 |
transcript.pyannote[3188].speaker |
SPEAKER_15 |
transcript.pyannote[3188].start |
15560.48534375 |
transcript.pyannote[3188].end |
15561.41346875 |
transcript.pyannote[3189].speaker |
SPEAKER_15 |
transcript.pyannote[3189].start |
15562.20659375 |
transcript.pyannote[3189].end |
15571.63971875 |
transcript.pyannote[3190].speaker |
SPEAKER_15 |
transcript.pyannote[3190].start |
15572.97284375 |
transcript.pyannote[3190].end |
15573.83346875 |
transcript.pyannote[3191].speaker |
SPEAKER_15 |
transcript.pyannote[3191].start |
15574.40721875 |
transcript.pyannote[3191].end |
15579.06471875 |
transcript.pyannote[3192].speaker |
SPEAKER_15 |
transcript.pyannote[3192].start |
15579.21659375 |
transcript.pyannote[3192].end |
15582.00096875 |
transcript.pyannote[3193].speaker |
SPEAKER_15 |
transcript.pyannote[3193].start |
15583.55346875 |
transcript.pyannote[3193].end |
15596.46284375 |
transcript.pyannote[3194].speaker |
SPEAKER_15 |
transcript.pyannote[3194].start |
15596.61471875 |
transcript.pyannote[3194].end |
15598.62284375 |
transcript.pyannote[3195].speaker |
SPEAKER_15 |
transcript.pyannote[3195].start |
15599.17971875 |
transcript.pyannote[3195].end |
15606.99284375 |
transcript.pyannote[3196].speaker |
SPEAKER_15 |
transcript.pyannote[3196].start |
15607.27971875 |
transcript.pyannote[3196].end |
15612.64596875 |
transcript.pyannote[3197].speaker |
SPEAKER_15 |
transcript.pyannote[3197].start |
15614.46846875 |
transcript.pyannote[3197].end |
15615.88596875 |
transcript.pyannote[3198].speaker |
SPEAKER_15 |
transcript.pyannote[3198].start |
15616.56096875 |
transcript.pyannote[3198].end |
15628.28909375 |
transcript.pyannote[3199].speaker |
SPEAKER_15 |
transcript.pyannote[3199].start |
15629.62221875 |
transcript.pyannote[3199].end |
15630.87096875 |
transcript.pyannote[3200].speaker |
SPEAKER_11 |
transcript.pyannote[3200].start |
15631.84971875 |
transcript.pyannote[3200].end |
15636.87846875 |
transcript.pyannote[3201].speaker |
SPEAKER_11 |
transcript.pyannote[3201].start |
15637.28346875 |
transcript.pyannote[3201].end |
15638.97096875 |
transcript.pyannote[3202].speaker |
SPEAKER_15 |
transcript.pyannote[3202].start |
15639.17346875 |
transcript.pyannote[3202].end |
15685.09034375 |
transcript.pyannote[3203].speaker |
SPEAKER_11 |
transcript.pyannote[3203].start |
15639.93284375 |
transcript.pyannote[3203].end |
15641.68784375 |
transcript.pyannote[3204].speaker |
SPEAKER_15 |
transcript.pyannote[3204].start |
15685.96784375 |
transcript.pyannote[3204].end |
15693.40971875 |
transcript.pyannote[3205].speaker |
SPEAKER_15 |
transcript.pyannote[3205].start |
15693.78096875 |
transcript.pyannote[3205].end |
15699.16409375 |
transcript.pyannote[3206].speaker |
SPEAKER_21 |
transcript.pyannote[3206].start |
15699.40034375 |
transcript.pyannote[3206].end |
15700.48034375 |
transcript.pyannote[3207].speaker |
SPEAKER_15 |
transcript.pyannote[3207].start |
15700.19346875 |
transcript.pyannote[3207].end |
15710.90909375 |
transcript.pyannote[3208].speaker |
SPEAKER_15 |
transcript.pyannote[3208].start |
15711.11159375 |
transcript.pyannote[3208].end |
15715.12784375 |
transcript.pyannote[3209].speaker |
SPEAKER_15 |
transcript.pyannote[3209].start |
15715.53284375 |
transcript.pyannote[3209].end |
15718.84034375 |
transcript.pyannote[3210].speaker |
SPEAKER_15 |
transcript.pyannote[3210].start |
15719.07659375 |
transcript.pyannote[3210].end |
15733.18409375 |
transcript.pyannote[3211].speaker |
SPEAKER_15 |
transcript.pyannote[3211].start |
15733.58909375 |
transcript.pyannote[3211].end |
15743.08971875 |
transcript.pyannote[3212].speaker |
SPEAKER_15 |
transcript.pyannote[3212].start |
15744.15284375 |
transcript.pyannote[3212].end |
15747.42659375 |
transcript.pyannote[3213].speaker |
SPEAKER_15 |
transcript.pyannote[3213].start |
15747.79784375 |
transcript.pyannote[3213].end |
15757.88909375 |
transcript.pyannote[3214].speaker |
SPEAKER_06 |
transcript.pyannote[3214].start |
15757.23096875 |
transcript.pyannote[3214].end |
15760.11659375 |
transcript.pyannote[3215].speaker |
SPEAKER_15 |
transcript.pyannote[3215].start |
15758.00721875 |
transcript.pyannote[3215].end |
15759.17159375 |
transcript.pyannote[3216].speaker |
SPEAKER_06 |
transcript.pyannote[3216].start |
15761.28096875 |
transcript.pyannote[3216].end |
15763.86284375 |
transcript.pyannote[3217].speaker |
SPEAKER_12 |
transcript.pyannote[3217].start |
15775.00034375 |
transcript.pyannote[3217].end |
15776.85659375 |
transcript.pyannote[3218].speaker |
SPEAKER_12 |
transcript.pyannote[3218].start |
15777.29534375 |
transcript.pyannote[3218].end |
15777.63284375 |
transcript.pyannote[3219].speaker |
SPEAKER_06 |
transcript.pyannote[3219].start |
15777.80159375 |
transcript.pyannote[3219].end |
15778.54409375 |
transcript.pyannote[3220].speaker |
SPEAKER_12 |
transcript.pyannote[3220].start |
15780.31596875 |
transcript.pyannote[3220].end |
15781.21034375 |
transcript.pyannote[3221].speaker |
SPEAKER_12 |
transcript.pyannote[3221].start |
15781.68284375 |
transcript.pyannote[3221].end |
15782.25659375 |
transcript.pyannote[3222].speaker |
SPEAKER_12 |
transcript.pyannote[3222].start |
15782.76284375 |
transcript.pyannote[3222].end |
15783.10034375 |
transcript.pyannote[3223].speaker |
SPEAKER_12 |
transcript.pyannote[3223].start |
15783.43784375 |
transcript.pyannote[3223].end |
15797.22471875 |
transcript.pyannote[3224].speaker |
SPEAKER_12 |
transcript.pyannote[3224].start |
15797.68034375 |
transcript.pyannote[3224].end |
15817.33971875 |
transcript.pyannote[3225].speaker |
SPEAKER_11 |
transcript.pyannote[3225].start |
15817.69409375 |
transcript.pyannote[3225].end |
15823.46534375 |
transcript.pyannote[3226].speaker |
SPEAKER_12 |
transcript.pyannote[3226].start |
15819.53346875 |
transcript.pyannote[3226].end |
15834.58596875 |
transcript.pyannote[3227].speaker |
SPEAKER_11 |
transcript.pyannote[3227].start |
15836.03721875 |
transcript.pyannote[3227].end |
15837.75846875 |
transcript.pyannote[3228].speaker |
SPEAKER_12 |
transcript.pyannote[3228].start |
15837.75846875 |
transcript.pyannote[3228].end |
15842.63534375 |
transcript.pyannote[3229].speaker |
SPEAKER_11 |
transcript.pyannote[3229].start |
15839.95221875 |
transcript.pyannote[3229].end |
15845.48721875 |
transcript.pyannote[3230].speaker |
SPEAKER_11 |
transcript.pyannote[3230].start |
15846.38159375 |
transcript.pyannote[3230].end |
15847.78221875 |
transcript.pyannote[3231].speaker |
SPEAKER_12 |
transcript.pyannote[3231].start |
15847.39409375 |
transcript.pyannote[3231].end |
15862.19346875 |
transcript.pyannote[3232].speaker |
SPEAKER_11 |
transcript.pyannote[3232].start |
15848.89596875 |
transcript.pyannote[3232].end |
15849.26721875 |
transcript.pyannote[3233].speaker |
SPEAKER_11 |
transcript.pyannote[3233].start |
15863.08784375 |
transcript.pyannote[3233].end |
15865.82159375 |
transcript.pyannote[3234].speaker |
SPEAKER_11 |
transcript.pyannote[3234].start |
15866.19284375 |
transcript.pyannote[3234].end |
15868.69034375 |
transcript.pyannote[3235].speaker |
SPEAKER_11 |
transcript.pyannote[3235].start |
15868.96034375 |
transcript.pyannote[3235].end |
15873.38159375 |
transcript.pyannote[3236].speaker |
SPEAKER_12 |
transcript.pyannote[3236].start |
15873.38159375 |
transcript.pyannote[3236].end |
15873.39846875 |
transcript.pyannote[3237].speaker |
SPEAKER_11 |
transcript.pyannote[3237].start |
15873.39846875 |
transcript.pyannote[3237].end |
15879.87846875 |
transcript.pyannote[3238].speaker |
SPEAKER_12 |
transcript.pyannote[3238].start |
15873.41534375 |
transcript.pyannote[3238].end |
15874.56284375 |
transcript.pyannote[3239].speaker |
SPEAKER_12 |
transcript.pyannote[3239].start |
15875.03534375 |
transcript.pyannote[3239].end |
15876.73971875 |
transcript.pyannote[3240].speaker |
SPEAKER_12 |
transcript.pyannote[3240].start |
15879.87846875 |
transcript.pyannote[3240].end |
15888.48471875 |
transcript.pyannote[3241].speaker |
SPEAKER_11 |
transcript.pyannote[3241].start |
15880.18221875 |
transcript.pyannote[3241].end |
15882.19034375 |
transcript.pyannote[3242].speaker |
SPEAKER_11 |
transcript.pyannote[3242].start |
15888.48471875 |
transcript.pyannote[3242].end |
15894.69471875 |
transcript.pyannote[3243].speaker |
SPEAKER_12 |
transcript.pyannote[3243].start |
15894.61034375 |
transcript.pyannote[3243].end |
15895.92659375 |
transcript.pyannote[3244].speaker |
SPEAKER_11 |
transcript.pyannote[3244].start |
15894.86346875 |
transcript.pyannote[3244].end |
15898.64346875 |
transcript.pyannote[3245].speaker |
SPEAKER_12 |
transcript.pyannote[3245].start |
15897.85034375 |
transcript.pyannote[3245].end |
15905.73096875 |
transcript.pyannote[3246].speaker |
SPEAKER_11 |
transcript.pyannote[3246].start |
15905.56221875 |
transcript.pyannote[3246].end |
15908.11034375 |
transcript.pyannote[3247].speaker |
SPEAKER_12 |
transcript.pyannote[3247].start |
15907.94159375 |
transcript.pyannote[3247].end |
15935.27909375 |
transcript.pyannote[3248].speaker |
SPEAKER_11 |
transcript.pyannote[3248].start |
15935.66721875 |
transcript.pyannote[3248].end |
15936.73034375 |
transcript.pyannote[3249].speaker |
SPEAKER_12 |
transcript.pyannote[3249].start |
15936.73034375 |
transcript.pyannote[3249].end |
15938.28284375 |
transcript.pyannote[3250].speaker |
SPEAKER_11 |
transcript.pyannote[3250].start |
15937.18596875 |
transcript.pyannote[3250].end |
15938.23221875 |
transcript.pyannote[3251].speaker |
SPEAKER_11 |
transcript.pyannote[3251].start |
15939.05909375 |
transcript.pyannote[3251].end |
15946.36596875 |
transcript.pyannote[3252].speaker |
SPEAKER_12 |
transcript.pyannote[3252].start |
15944.44221875 |
transcript.pyannote[3252].end |
15945.11721875 |
transcript.pyannote[3253].speaker |
SPEAKER_12 |
transcript.pyannote[3253].start |
15946.12971875 |
transcript.pyannote[3253].end |
15956.96346875 |
transcript.pyannote[3254].speaker |
SPEAKER_11 |
transcript.pyannote[3254].start |
15957.04784375 |
transcript.pyannote[3254].end |
15960.30471875 |
transcript.pyannote[3255].speaker |
SPEAKER_20 |
transcript.pyannote[3255].start |
15964.20284375 |
transcript.pyannote[3255].end |
15980.45346875 |
transcript.pyannote[3256].speaker |
SPEAKER_00 |
transcript.pyannote[3256].start |
15971.00346875 |
transcript.pyannote[3256].end |
15971.39159375 |
transcript.pyannote[3257].speaker |
SPEAKER_12 |
transcript.pyannote[3257].start |
15975.98159375 |
transcript.pyannote[3257].end |
15976.36971875 |
transcript.pyannote[3258].speaker |
SPEAKER_12 |
transcript.pyannote[3258].start |
15978.22596875 |
transcript.pyannote[3258].end |
15982.66409375 |
transcript.pyannote[3259].speaker |
SPEAKER_20 |
transcript.pyannote[3259].start |
15982.39409375 |
transcript.pyannote[3259].end |
15982.96784375 |
transcript.pyannote[3260].speaker |
SPEAKER_12 |
transcript.pyannote[3260].start |
15982.71471875 |
transcript.pyannote[3260].end |
16064.96346875 |
transcript.pyannote[3261].speaker |
SPEAKER_21 |
transcript.pyannote[3261].start |
15982.96784375 |
transcript.pyannote[3261].end |
15982.98471875 |
transcript.pyannote[3262].speaker |
SPEAKER_20 |
transcript.pyannote[3262].start |
15982.98471875 |
transcript.pyannote[3262].end |
15983.01846875 |
transcript.pyannote[3263].speaker |
SPEAKER_21 |
transcript.pyannote[3263].start |
16065.16596875 |
transcript.pyannote[3263].end |
16065.80721875 |
transcript.pyannote[3264].speaker |
SPEAKER_12 |
transcript.pyannote[3264].start |
16065.95909375 |
transcript.pyannote[3264].end |
16066.27971875 |
transcript.pyannote[3265].speaker |
SPEAKER_06 |
transcript.pyannote[3265].start |
16066.68471875 |
transcript.pyannote[3265].end |
16072.50659375 |
transcript.pyannote[3266].speaker |
SPEAKER_01 |
transcript.pyannote[3266].start |
16078.58159375 |
transcript.pyannote[3266].end |
16079.05409375 |
transcript.pyannote[3267].speaker |
SPEAKER_01 |
transcript.pyannote[3267].start |
16079.23971875 |
transcript.pyannote[3267].end |
16079.52659375 |
transcript.pyannote[3268].speaker |
SPEAKER_14 |
transcript.pyannote[3268].start |
16083.34034375 |
transcript.pyannote[3268].end |
16084.84221875 |
transcript.pyannote[3269].speaker |
SPEAKER_06 |
transcript.pyannote[3269].start |
16085.38221875 |
transcript.pyannote[3269].end |
16086.37784375 |
transcript.pyannote[3270].speaker |
SPEAKER_14 |
transcript.pyannote[3270].start |
16090.14096875 |
transcript.pyannote[3270].end |
16100.26596875 |
transcript.pyannote[3271].speaker |
SPEAKER_11 |
transcript.pyannote[3271].start |
16100.97471875 |
transcript.pyannote[3271].end |
16104.19784375 |
transcript.pyannote[3272].speaker |
SPEAKER_11 |
transcript.pyannote[3272].start |
16105.07534375 |
transcript.pyannote[3272].end |
16110.32346875 |
transcript.pyannote[3273].speaker |
SPEAKER_21 |
transcript.pyannote[3273].start |
16110.84659375 |
transcript.pyannote[3273].end |
16111.62284375 |
transcript.pyannote[3274].speaker |
SPEAKER_11 |
transcript.pyannote[3274].start |
16111.62284375 |
transcript.pyannote[3274].end |
16115.82471875 |
transcript.pyannote[3275].speaker |
SPEAKER_21 |
transcript.pyannote[3275].start |
16112.80409375 |
transcript.pyannote[3275].end |
16112.82096875 |
transcript.pyannote[3276].speaker |
SPEAKER_14 |
transcript.pyannote[3276].start |
16112.82096875 |
transcript.pyannote[3276].end |
16113.71534375 |
transcript.pyannote[3277].speaker |
SPEAKER_14 |
transcript.pyannote[3277].start |
16116.09471875 |
transcript.pyannote[3277].end |
16124.07659375 |
transcript.pyannote[3278].speaker |
SPEAKER_11 |
transcript.pyannote[3278].start |
16116.60096875 |
transcript.pyannote[3278].end |
16117.30971875 |
transcript.pyannote[3279].speaker |
SPEAKER_11 |
transcript.pyannote[3279].start |
16124.81909375 |
transcript.pyannote[3279].end |
16127.41784375 |
transcript.pyannote[3280].speaker |
SPEAKER_14 |
transcript.pyannote[3280].start |
16127.43471875 |
transcript.pyannote[3280].end |
16128.32909375 |
transcript.pyannote[3281].speaker |
SPEAKER_11 |
transcript.pyannote[3281].start |
16127.75534375 |
transcript.pyannote[3281].end |
16130.79284375 |
transcript.pyannote[3282].speaker |
SPEAKER_14 |
transcript.pyannote[3282].start |
16130.79284375 |
transcript.pyannote[3282].end |
16139.58471875 |
transcript.pyannote[3283].speaker |
SPEAKER_11 |
transcript.pyannote[3283].start |
16134.62346875 |
transcript.pyannote[3283].end |
16135.16346875 |
transcript.pyannote[3284].speaker |
SPEAKER_21 |
transcript.pyannote[3284].start |
16138.74096875 |
transcript.pyannote[3284].end |
16139.71971875 |
transcript.pyannote[3285].speaker |
SPEAKER_14 |
transcript.pyannote[3285].start |
16139.70284375 |
transcript.pyannote[3285].end |
16150.26659375 |
transcript.pyannote[3286].speaker |
SPEAKER_21 |
transcript.pyannote[3286].start |
16150.84034375 |
transcript.pyannote[3286].end |
16151.56596875 |
transcript.pyannote[3287].speaker |
SPEAKER_14 |
transcript.pyannote[3287].start |
16151.56596875 |
transcript.pyannote[3287].end |
16156.98284375 |
transcript.pyannote[3288].speaker |
SPEAKER_11 |
transcript.pyannote[3288].start |
16151.59971875 |
transcript.pyannote[3288].end |
16151.63346875 |
transcript.pyannote[3289].speaker |
SPEAKER_11 |
transcript.pyannote[3289].start |
16156.84784375 |
transcript.pyannote[3289].end |
16157.97846875 |
transcript.pyannote[3290].speaker |
SPEAKER_14 |
transcript.pyannote[3290].start |
16157.77596875 |
transcript.pyannote[3290].end |
16169.50409375 |
transcript.pyannote[3291].speaker |
SPEAKER_11 |
transcript.pyannote[3291].start |
16169.23409375 |
transcript.pyannote[3291].end |
16171.78221875 |
transcript.pyannote[3292].speaker |
SPEAKER_14 |
transcript.pyannote[3292].start |
16171.79909375 |
transcript.pyannote[3292].end |
16173.11534375 |
transcript.pyannote[3293].speaker |
SPEAKER_14 |
transcript.pyannote[3293].start |
16173.82409375 |
transcript.pyannote[3293].end |
16174.34721875 |
transcript.pyannote[3294].speaker |
SPEAKER_11 |
transcript.pyannote[3294].start |
16173.97596875 |
transcript.pyannote[3294].end |
16174.39784375 |
transcript.pyannote[3295].speaker |
SPEAKER_11 |
transcript.pyannote[3295].start |
16174.73534375 |
transcript.pyannote[3295].end |
16181.13096875 |
transcript.pyannote[3296].speaker |
SPEAKER_14 |
transcript.pyannote[3296].start |
16177.90784375 |
transcript.pyannote[3296].end |
16178.38034375 |
transcript.pyannote[3297].speaker |
SPEAKER_14 |
transcript.pyannote[3297].start |
16179.81471875 |
transcript.pyannote[3297].end |
16181.01284375 |
transcript.pyannote[3298].speaker |
SPEAKER_14 |
transcript.pyannote[3298].start |
16181.33346875 |
transcript.pyannote[3298].end |
16182.71721875 |
transcript.pyannote[3299].speaker |
SPEAKER_14 |
transcript.pyannote[3299].start |
16183.22346875 |
transcript.pyannote[3299].end |
16184.05034375 |
transcript.pyannote[3300].speaker |
SPEAKER_14 |
transcript.pyannote[3300].start |
16185.16409375 |
transcript.pyannote[3300].end |
16188.60659375 |
transcript.pyannote[3301].speaker |
SPEAKER_14 |
transcript.pyannote[3301].start |
16188.65721875 |
transcript.pyannote[3301].end |
16195.28909375 |
transcript.pyannote[3302].speaker |
SPEAKER_14 |
transcript.pyannote[3302].start |
16195.64346875 |
transcript.pyannote[3302].end |
16199.54159375 |
transcript.pyannote[3303].speaker |
SPEAKER_21 |
transcript.pyannote[3303].start |
16199.71034375 |
transcript.pyannote[3303].end |
16200.03096875 |
transcript.pyannote[3304].speaker |
SPEAKER_14 |
transcript.pyannote[3304].start |
16200.14909375 |
transcript.pyannote[3304].end |
16203.55784375 |
transcript.pyannote[3305].speaker |
SPEAKER_14 |
transcript.pyannote[3305].start |
16203.62534375 |
transcript.pyannote[3305].end |
16205.65034375 |
transcript.pyannote[3306].speaker |
SPEAKER_14 |
transcript.pyannote[3306].start |
16206.17346875 |
transcript.pyannote[3306].end |
16208.75534375 |
transcript.pyannote[3307].speaker |
SPEAKER_14 |
transcript.pyannote[3307].start |
16209.56534375 |
transcript.pyannote[3307].end |
16214.98221875 |
transcript.pyannote[3308].speaker |
SPEAKER_11 |
transcript.pyannote[3308].start |
16214.98221875 |
transcript.pyannote[3308].end |
16215.57284375 |
transcript.pyannote[3309].speaker |
SPEAKER_14 |
transcript.pyannote[3309].start |
16215.57284375 |
transcript.pyannote[3309].end |
16216.34909375 |
transcript.pyannote[3310].speaker |
SPEAKER_14 |
transcript.pyannote[3310].start |
16216.50096875 |
transcript.pyannote[3310].end |
16218.98159375 |
transcript.pyannote[3311].speaker |
SPEAKER_11 |
transcript.pyannote[3311].start |
16217.56409375 |
transcript.pyannote[3311].end |
16220.02784375 |
transcript.pyannote[3312].speaker |
SPEAKER_14 |
transcript.pyannote[3312].start |
16219.79159375 |
transcript.pyannote[3312].end |
16221.79971875 |
transcript.pyannote[3313].speaker |
SPEAKER_14 |
transcript.pyannote[3313].start |
16222.10346875 |
transcript.pyannote[3313].end |
16222.79534375 |
transcript.pyannote[3314].speaker |
SPEAKER_14 |
transcript.pyannote[3314].start |
16222.89659375 |
transcript.pyannote[3314].end |
16225.00596875 |
transcript.pyannote[3315].speaker |
SPEAKER_14 |
transcript.pyannote[3315].start |
16225.54596875 |
transcript.pyannote[3315].end |
16232.27909375 |
transcript.pyannote[3316].speaker |
SPEAKER_21 |
transcript.pyannote[3316].start |
16232.27909375 |
transcript.pyannote[3316].end |
16232.63346875 |
transcript.pyannote[3317].speaker |
SPEAKER_14 |
transcript.pyannote[3317].start |
16232.56596875 |
transcript.pyannote[3317].end |
16234.87784375 |
transcript.pyannote[3318].speaker |
SPEAKER_14 |
transcript.pyannote[3318].start |
16235.35034375 |
transcript.pyannote[3318].end |
16247.50034375 |
transcript.pyannote[3319].speaker |
SPEAKER_11 |
transcript.pyannote[3319].start |
16240.22721875 |
transcript.pyannote[3319].end |
16240.68284375 |
transcript.pyannote[3320].speaker |
SPEAKER_14 |
transcript.pyannote[3320].start |
16248.05721875 |
transcript.pyannote[3320].end |
16248.09096875 |
transcript.pyannote[3321].speaker |
SPEAKER_11 |
transcript.pyannote[3321].start |
16248.09096875 |
transcript.pyannote[3321].end |
16248.14159375 |
transcript.pyannote[3322].speaker |
SPEAKER_14 |
transcript.pyannote[3322].start |
16248.14159375 |
transcript.pyannote[3322].end |
16248.54659375 |
transcript.pyannote[3323].speaker |
SPEAKER_11 |
transcript.pyannote[3323].start |
16248.54659375 |
transcript.pyannote[3323].end |
16248.63096875 |
transcript.pyannote[3324].speaker |
SPEAKER_14 |
transcript.pyannote[3324].start |
16248.63096875 |
transcript.pyannote[3324].end |
16248.69846875 |
transcript.pyannote[3325].speaker |
SPEAKER_14 |
transcript.pyannote[3325].start |
16248.83346875 |
transcript.pyannote[3325].end |
16248.90096875 |
transcript.pyannote[3326].speaker |
SPEAKER_11 |
transcript.pyannote[3326].start |
16248.90096875 |
transcript.pyannote[3326].end |
16250.18346875 |
transcript.pyannote[3327].speaker |
SPEAKER_14 |
transcript.pyannote[3327].start |
16250.80784375 |
transcript.pyannote[3327].end |
16250.82471875 |
transcript.pyannote[3328].speaker |
SPEAKER_11 |
transcript.pyannote[3328].start |
16250.82471875 |
transcript.pyannote[3328].end |
16251.80346875 |
transcript.pyannote[3329].speaker |
SPEAKER_11 |
transcript.pyannote[3329].start |
16252.39409375 |
transcript.pyannote[3329].end |
16253.57534375 |
transcript.pyannote[3330].speaker |
SPEAKER_11 |
transcript.pyannote[3330].start |
16253.87909375 |
transcript.pyannote[3330].end |
16258.18221875 |
transcript.pyannote[3331].speaker |
SPEAKER_11 |
transcript.pyannote[3331].start |
16258.84034375 |
transcript.pyannote[3331].end |
16262.43471875 |
transcript.pyannote[3332].speaker |
SPEAKER_14 |
transcript.pyannote[3332].start |
16261.99596875 |
transcript.pyannote[3332].end |
16262.35034375 |
transcript.pyannote[3333].speaker |
SPEAKER_14 |
transcript.pyannote[3333].start |
16262.43471875 |
transcript.pyannote[3333].end |
16263.54846875 |
transcript.pyannote[3334].speaker |
SPEAKER_11 |
transcript.pyannote[3334].start |
16263.54846875 |
transcript.pyannote[3334].end |
16263.56534375 |
transcript.pyannote[3335].speaker |
SPEAKER_14 |
transcript.pyannote[3335].start |
16263.56534375 |
transcript.pyannote[3335].end |
16263.66659375 |
transcript.pyannote[3336].speaker |
SPEAKER_14 |
transcript.pyannote[3336].start |
16264.05471875 |
transcript.pyannote[3336].end |
16264.07159375 |
transcript.pyannote[3337].speaker |
SPEAKER_11 |
transcript.pyannote[3337].start |
16264.07159375 |
transcript.pyannote[3337].end |
16265.59034375 |
transcript.pyannote[3338].speaker |
SPEAKER_14 |
transcript.pyannote[3338].start |
16264.39221875 |
transcript.pyannote[3338].end |
16265.06721875 |
transcript.pyannote[3339].speaker |
SPEAKER_14 |
transcript.pyannote[3339].start |
16265.59034375 |
transcript.pyannote[3339].end |
16265.62409375 |
transcript.pyannote[3340].speaker |
SPEAKER_11 |
transcript.pyannote[3340].start |
16265.62409375 |
transcript.pyannote[3340].end |
16267.46346875 |
transcript.pyannote[3341].speaker |
SPEAKER_14 |
transcript.pyannote[3341].start |
16267.46346875 |
transcript.pyannote[3341].end |
16267.53096875 |
transcript.pyannote[3342].speaker |
SPEAKER_11 |
transcript.pyannote[3342].start |
16267.53096875 |
transcript.pyannote[3342].end |
16267.54784375 |
transcript.pyannote[3343].speaker |
SPEAKER_14 |
transcript.pyannote[3343].start |
16267.54784375 |
transcript.pyannote[3343].end |
16268.18909375 |
transcript.pyannote[3344].speaker |
SPEAKER_11 |
transcript.pyannote[3344].start |
16267.58159375 |
transcript.pyannote[3344].end |
16268.23971875 |
transcript.pyannote[3345].speaker |
SPEAKER_14 |
transcript.pyannote[3345].start |
16268.23971875 |
transcript.pyannote[3345].end |
16268.25659375 |
transcript.pyannote[3346].speaker |
SPEAKER_11 |
transcript.pyannote[3346].start |
16268.25659375 |
transcript.pyannote[3346].end |
16268.34096875 |
transcript.pyannote[3347].speaker |
SPEAKER_11 |
transcript.pyannote[3347].start |
16268.71221875 |
transcript.pyannote[3347].end |
16275.52971875 |
transcript.pyannote[3348].speaker |
SPEAKER_14 |
transcript.pyannote[3348].start |
16275.46221875 |
transcript.pyannote[3348].end |
16308.62159375 |
transcript.pyannote[3349].speaker |
SPEAKER_11 |
transcript.pyannote[3349].start |
16275.61409375 |
transcript.pyannote[3349].end |
16276.00221875 |
transcript.pyannote[3350].speaker |
SPEAKER_11 |
transcript.pyannote[3350].start |
16304.85846875 |
transcript.pyannote[3350].end |
16306.20846875 |
transcript.pyannote[3351].speaker |
SPEAKER_11 |
transcript.pyannote[3351].start |
16309.48221875 |
transcript.pyannote[3351].end |
16310.20784375 |
transcript.pyannote[3352].speaker |
SPEAKER_14 |
transcript.pyannote[3352].start |
16310.20784375 |
transcript.pyannote[3352].end |
16322.29034375 |
transcript.pyannote[3353].speaker |
SPEAKER_11 |
transcript.pyannote[3353].start |
16312.38471875 |
transcript.pyannote[3353].end |
16312.97534375 |
transcript.pyannote[3354].speaker |
SPEAKER_11 |
transcript.pyannote[3354].start |
16315.87784375 |
transcript.pyannote[3354].end |
16317.36284375 |
transcript.pyannote[3355].speaker |
SPEAKER_11 |
transcript.pyannote[3355].start |
16322.42534375 |
transcript.pyannote[3355].end |
16323.03284375 |
transcript.pyannote[3356].speaker |
SPEAKER_14 |
transcript.pyannote[3356].start |
16322.74596875 |
transcript.pyannote[3356].end |
16324.50096875 |
transcript.pyannote[3357].speaker |
SPEAKER_11 |
transcript.pyannote[3357].start |
16324.45034375 |
transcript.pyannote[3357].end |
16326.08721875 |
transcript.pyannote[3358].speaker |
SPEAKER_11 |
transcript.pyannote[3358].start |
16327.28534375 |
transcript.pyannote[3358].end |
16344.97034375 |
transcript.pyannote[3359].speaker |
SPEAKER_14 |
transcript.pyannote[3359].start |
16344.10971875 |
transcript.pyannote[3359].end |
16344.44721875 |
transcript.pyannote[3360].speaker |
SPEAKER_14 |
transcript.pyannote[3360].start |
16344.97034375 |
transcript.pyannote[3360].end |
16349.81346875 |
transcript.pyannote[3361].speaker |
SPEAKER_11 |
transcript.pyannote[3361].start |
16351.85534375 |
transcript.pyannote[3361].end |
16354.21784375 |
transcript.pyannote[3362].speaker |
SPEAKER_14 |
transcript.pyannote[3362].start |
16354.21784375 |
transcript.pyannote[3362].end |
16361.05221875 |
transcript.pyannote[3363].speaker |
SPEAKER_11 |
transcript.pyannote[3363].start |
16354.26846875 |
transcript.pyannote[3363].end |
16354.47096875 |
transcript.pyannote[3364].speaker |
SPEAKER_11 |
transcript.pyannote[3364].start |
16357.12034375 |
transcript.pyannote[3364].end |
16364.59596875 |
transcript.pyannote[3365].speaker |
SPEAKER_14 |
transcript.pyannote[3365].start |
16362.94221875 |
transcript.pyannote[3365].end |
16362.97596875 |
transcript.pyannote[3366].speaker |
SPEAKER_21 |
transcript.pyannote[3366].start |
16362.97596875 |
transcript.pyannote[3366].end |
16365.96284375 |
transcript.pyannote[3367].speaker |
SPEAKER_11 |
transcript.pyannote[3367].start |
16365.01784375 |
transcript.pyannote[3367].end |
16375.05846875 |
transcript.pyannote[3368].speaker |
SPEAKER_14 |
transcript.pyannote[3368].start |
16371.10971875 |
transcript.pyannote[3368].end |
16371.51471875 |
transcript.pyannote[3369].speaker |
SPEAKER_14 |
transcript.pyannote[3369].start |
16372.66221875 |
transcript.pyannote[3369].end |
16393.28346875 |
transcript.pyannote[3370].speaker |
SPEAKER_11 |
transcript.pyannote[3370].start |
16382.33159375 |
transcript.pyannote[3370].end |
16387.88346875 |
transcript.pyannote[3371].speaker |
SPEAKER_11 |
transcript.pyannote[3371].start |
16388.60909375 |
transcript.pyannote[3371].end |
16392.74346875 |
transcript.pyannote[3372].speaker |
SPEAKER_11 |
transcript.pyannote[3372].start |
16393.73909375 |
transcript.pyannote[3372].end |
16402.53096875 |
transcript.pyannote[3373].speaker |
SPEAKER_14 |
transcript.pyannote[3373].start |
16393.99221875 |
transcript.pyannote[3373].end |
16394.14409375 |
transcript.pyannote[3374].speaker |
SPEAKER_21 |
transcript.pyannote[3374].start |
16394.14409375 |
transcript.pyannote[3374].end |
16394.41409375 |
transcript.pyannote[3375].speaker |
SPEAKER_14 |
transcript.pyannote[3375].start |
16399.35846875 |
transcript.pyannote[3375].end |
16399.83096875 |
transcript.pyannote[3376].speaker |
SPEAKER_14 |
transcript.pyannote[3376].start |
16400.82659375 |
transcript.pyannote[3376].end |
16401.24846875 |
transcript.pyannote[3377].speaker |
SPEAKER_14 |
transcript.pyannote[3377].start |
16401.94034375 |
transcript.pyannote[3377].end |
16407.45846875 |
transcript.pyannote[3378].speaker |
SPEAKER_14 |
transcript.pyannote[3378].start |
16408.23471875 |
transcript.pyannote[3378].end |
16409.55096875 |
transcript.pyannote[3379].speaker |
SPEAKER_14 |
transcript.pyannote[3379].start |
16410.17534375 |
transcript.pyannote[3379].end |
16414.22534375 |
transcript.pyannote[3380].speaker |
SPEAKER_14 |
transcript.pyannote[3380].start |
16415.08596875 |
transcript.pyannote[3380].end |
16417.24596875 |
transcript.pyannote[3381].speaker |
SPEAKER_14 |
transcript.pyannote[3381].start |
16417.92096875 |
transcript.pyannote[3381].end |
16422.67971875 |
transcript.pyannote[3382].speaker |
SPEAKER_14 |
transcript.pyannote[3382].start |
16423.55721875 |
transcript.pyannote[3382].end |
16433.15909375 |
transcript.pyannote[3383].speaker |
SPEAKER_11 |
transcript.pyannote[3383].start |
16430.44221875 |
transcript.pyannote[3383].end |
16432.06221875 |
transcript.pyannote[3384].speaker |
SPEAKER_11 |
transcript.pyannote[3384].start |
16433.15909375 |
transcript.pyannote[3384].end |
16434.89721875 |
transcript.pyannote[3385].speaker |
SPEAKER_14 |
transcript.pyannote[3385].start |
16433.44596875 |
transcript.pyannote[3385].end |
16438.25534375 |
transcript.pyannote[3386].speaker |
SPEAKER_11 |
transcript.pyannote[3386].start |
16436.77034375 |
transcript.pyannote[3386].end |
16437.76596875 |
transcript.pyannote[3387].speaker |
SPEAKER_11 |
transcript.pyannote[3387].start |
16437.96846875 |
transcript.pyannote[3387].end |
16438.91346875 |
transcript.pyannote[3388].speaker |
SPEAKER_14 |
transcript.pyannote[3388].start |
16438.91346875 |
transcript.pyannote[3388].end |
16446.94596875 |
transcript.pyannote[3389].speaker |
SPEAKER_11 |
transcript.pyannote[3389].start |
16438.93034375 |
transcript.pyannote[3389].end |
16441.83284375 |
transcript.pyannote[3390].speaker |
SPEAKER_21 |
transcript.pyannote[3390].start |
16441.83284375 |
transcript.pyannote[3390].end |
16441.88346875 |
transcript.pyannote[3391].speaker |
SPEAKER_11 |
transcript.pyannote[3391].start |
16442.13659375 |
transcript.pyannote[3391].end |
16442.38971875 |
transcript.pyannote[3392].speaker |
SPEAKER_21 |
transcript.pyannote[3392].start |
16442.38971875 |
transcript.pyannote[3392].end |
16442.59221875 |
transcript.pyannote[3393].speaker |
SPEAKER_11 |
transcript.pyannote[3393].start |
16442.59221875 |
transcript.pyannote[3393].end |
16442.76096875 |
transcript.pyannote[3394].speaker |
SPEAKER_14 |
transcript.pyannote[3394].start |
16447.62096875 |
transcript.pyannote[3394].end |
16449.07221875 |
transcript.pyannote[3395].speaker |
SPEAKER_14 |
transcript.pyannote[3395].start |
16449.51096875 |
transcript.pyannote[3395].end |
16451.75534375 |
transcript.pyannote[3396].speaker |
SPEAKER_14 |
transcript.pyannote[3396].start |
16452.22784375 |
transcript.pyannote[3396].end |
16453.40909375 |
transcript.pyannote[3397].speaker |
SPEAKER_14 |
transcript.pyannote[3397].start |
16455.48471875 |
transcript.pyannote[3397].end |
16466.63909375 |
transcript.pyannote[3398].speaker |
SPEAKER_14 |
transcript.pyannote[3398].start |
16467.02721875 |
transcript.pyannote[3398].end |
16468.22534375 |
transcript.pyannote[3399].speaker |
SPEAKER_11 |
transcript.pyannote[3399].start |
16467.56721875 |
transcript.pyannote[3399].end |
16467.61784375 |
transcript.pyannote[3400].speaker |
SPEAKER_11 |
transcript.pyannote[3400].start |
16467.65159375 |
transcript.pyannote[3400].end |
16470.89159375 |
transcript.pyannote[3401].speaker |
SPEAKER_14 |
transcript.pyannote[3401].start |
16468.96784375 |
transcript.pyannote[3401].end |
16487.53034375 |
transcript.pyannote[3402].speaker |
SPEAKER_14 |
transcript.pyannote[3402].start |
16489.16721875 |
transcript.pyannote[3402].end |
16491.88409375 |
transcript.pyannote[3403].speaker |
SPEAKER_14 |
transcript.pyannote[3403].start |
16492.66034375 |
transcript.pyannote[3403].end |
16497.67221875 |
transcript.pyannote[3404].speaker |
SPEAKER_14 |
transcript.pyannote[3404].start |
16499.83221875 |
transcript.pyannote[3404].end |
16502.19471875 |
transcript.pyannote[3405].speaker |
SPEAKER_14 |
transcript.pyannote[3405].start |
16503.07221875 |
transcript.pyannote[3405].end |
16503.89909375 |
transcript.pyannote[3406].speaker |
SPEAKER_14 |
transcript.pyannote[3406].start |
16504.43909375 |
transcript.pyannote[3406].end |
16506.90284375 |
transcript.pyannote[3407].speaker |
SPEAKER_14 |
transcript.pyannote[3407].start |
16507.49346875 |
transcript.pyannote[3407].end |
16508.69159375 |
transcript.pyannote[3408].speaker |
SPEAKER_14 |
transcript.pyannote[3408].start |
16509.21471875 |
transcript.pyannote[3408].end |
16511.35784375 |
transcript.pyannote[3409].speaker |
SPEAKER_14 |
transcript.pyannote[3409].start |
16511.45909375 |
transcript.pyannote[3409].end |
16512.89346875 |
transcript.pyannote[3410].speaker |
SPEAKER_14 |
transcript.pyannote[3410].start |
16513.55159375 |
transcript.pyannote[3410].end |
16514.69909375 |
transcript.pyannote[3411].speaker |
SPEAKER_14 |
transcript.pyannote[3411].start |
16515.10409375 |
transcript.pyannote[3411].end |
16520.84159375 |
transcript.pyannote[3412].speaker |
SPEAKER_14 |
transcript.pyannote[3412].start |
16521.24659375 |
transcript.pyannote[3412].end |
16523.40659375 |
transcript.pyannote[3413].speaker |
SPEAKER_11 |
transcript.pyannote[3413].start |
16524.92534375 |
transcript.pyannote[3413].end |
16526.00534375 |
transcript.pyannote[3414].speaker |
SPEAKER_11 |
transcript.pyannote[3414].start |
16526.86596875 |
transcript.pyannote[3414].end |
16529.05971875 |
transcript.pyannote[3415].speaker |
SPEAKER_14 |
transcript.pyannote[3415].start |
16529.05971875 |
transcript.pyannote[3415].end |
16530.00471875 |
transcript.pyannote[3416].speaker |
SPEAKER_11 |
transcript.pyannote[3416].start |
16530.00471875 |
transcript.pyannote[3416].end |
16530.03846875 |
transcript.pyannote[3417].speaker |
SPEAKER_14 |
transcript.pyannote[3417].start |
16530.03846875 |
transcript.pyannote[3417].end |
16536.13034375 |
transcript.pyannote[3418].speaker |
SPEAKER_11 |
transcript.pyannote[3418].start |
16531.15221875 |
transcript.pyannote[3418].end |
16533.54846875 |
transcript.pyannote[3419].speaker |
SPEAKER_14 |
transcript.pyannote[3419].start |
16536.60284375 |
transcript.pyannote[3419].end |
16541.46284375 |
transcript.pyannote[3420].speaker |
SPEAKER_14 |
transcript.pyannote[3420].start |
16542.12096875 |
transcript.pyannote[3420].end |
16558.28721875 |
transcript.pyannote[3421].speaker |
SPEAKER_14 |
transcript.pyannote[3421].start |
16558.92846875 |
transcript.pyannote[3421].end |
16562.13471875 |
transcript.pyannote[3422].speaker |
SPEAKER_14 |
transcript.pyannote[3422].start |
16563.75471875 |
transcript.pyannote[3422].end |
16587.81846875 |
transcript.pyannote[3423].speaker |
SPEAKER_14 |
transcript.pyannote[3423].start |
16588.34159375 |
transcript.pyannote[3423].end |
16589.18534375 |
transcript.pyannote[3424].speaker |
SPEAKER_11 |
transcript.pyannote[3424].start |
16589.50596875 |
transcript.pyannote[3424].end |
16592.03721875 |
transcript.pyannote[3425].speaker |
SPEAKER_14 |
transcript.pyannote[3425].start |
16592.03721875 |
transcript.pyannote[3425].end |
16599.49596875 |
transcript.pyannote[3426].speaker |
SPEAKER_11 |
transcript.pyannote[3426].start |
16592.07096875 |
transcript.pyannote[3426].end |
16592.22284375 |
transcript.pyannote[3427].speaker |
SPEAKER_11 |
transcript.pyannote[3427].start |
16593.11721875 |
transcript.pyannote[3427].end |
16594.78784375 |
transcript.pyannote[3428].speaker |
SPEAKER_11 |
transcript.pyannote[3428].start |
16596.17159375 |
transcript.pyannote[3428].end |
16604.81159375 |
transcript.pyannote[3429].speaker |
SPEAKER_14 |
transcript.pyannote[3429].start |
16603.02284375 |
transcript.pyannote[3429].end |
16603.51221875 |
transcript.pyannote[3430].speaker |
SPEAKER_14 |
transcript.pyannote[3430].start |
16603.88346875 |
transcript.pyannote[3430].end |
16609.97534375 |
transcript.pyannote[3431].speaker |
SPEAKER_11 |
transcript.pyannote[3431].start |
16606.49909375 |
transcript.pyannote[3431].end |
16607.02221875 |
transcript.pyannote[3432].speaker |
SPEAKER_11 |
transcript.pyannote[3432].start |
16607.47784375 |
transcript.pyannote[3432].end |
16609.45221875 |
transcript.pyannote[3433].speaker |
SPEAKER_11 |
transcript.pyannote[3433].start |
16609.97534375 |
transcript.pyannote[3433].end |
16620.03284375 |
transcript.pyannote[3434].speaker |
SPEAKER_14 |
transcript.pyannote[3434].start |
16617.41721875 |
transcript.pyannote[3434].end |
16628.16659375 |
transcript.pyannote[3435].speaker |
SPEAKER_21 |
transcript.pyannote[3435].start |
16627.22159375 |
transcript.pyannote[3435].end |
16628.13284375 |
transcript.pyannote[3436].speaker |
SPEAKER_21 |
transcript.pyannote[3436].start |
16628.16659375 |
transcript.pyannote[3436].end |
16628.20034375 |
transcript.pyannote[3437].speaker |
SPEAKER_14 |
transcript.pyannote[3437].start |
16628.52096875 |
transcript.pyannote[3437].end |
16650.00284375 |
transcript.pyannote[3438].speaker |
SPEAKER_21 |
transcript.pyannote[3438].start |
16628.55471875 |
transcript.pyannote[3438].end |
16629.61784375 |
transcript.pyannote[3439].speaker |
SPEAKER_21 |
transcript.pyannote[3439].start |
16630.54596875 |
transcript.pyannote[3439].end |
16630.61346875 |
transcript.pyannote[3440].speaker |
SPEAKER_11 |
transcript.pyannote[3440].start |
16630.61346875 |
transcript.pyannote[3440].end |
16632.41909375 |
transcript.pyannote[3441].speaker |
SPEAKER_21 |
transcript.pyannote[3441].start |
16632.41909375 |
transcript.pyannote[3441].end |
16632.45284375 |
transcript.pyannote[3442].speaker |
SPEAKER_11 |
transcript.pyannote[3442].start |
16633.81971875 |
transcript.pyannote[3442].end |
16633.87034375 |
transcript.pyannote[3443].speaker |
SPEAKER_11 |
transcript.pyannote[3443].start |
16636.16534375 |
transcript.pyannote[3443].end |
16641.95346875 |
transcript.pyannote[3444].speaker |
SPEAKER_00 |
transcript.pyannote[3444].start |
16642.76346875 |
transcript.pyannote[3444].end |
16642.86471875 |
transcript.pyannote[3445].speaker |
SPEAKER_11 |
transcript.pyannote[3445].start |
16642.86471875 |
transcript.pyannote[3445].end |
16643.25284375 |
transcript.pyannote[3446].speaker |
SPEAKER_00 |
transcript.pyannote[3446].start |
16643.25284375 |
transcript.pyannote[3446].end |
16643.35409375 |
transcript.pyannote[3447].speaker |
SPEAKER_11 |
transcript.pyannote[3447].start |
16647.85971875 |
transcript.pyannote[3447].end |
16648.53471875 |
transcript.pyannote[3448].speaker |
SPEAKER_11 |
transcript.pyannote[3448].start |
16649.19284375 |
transcript.pyannote[3448].end |
16650.39096875 |
transcript.pyannote[3449].speaker |
SPEAKER_14 |
transcript.pyannote[3449].start |
16650.39096875 |
transcript.pyannote[3449].end |
16650.96471875 |
transcript.pyannote[3450].speaker |
SPEAKER_11 |
transcript.pyannote[3450].start |
16650.96471875 |
transcript.pyannote[3450].end |
16664.38034375 |
transcript.pyannote[3451].speaker |
SPEAKER_14 |
transcript.pyannote[3451].start |
16661.69721875 |
transcript.pyannote[3451].end |
16665.32534375 |
transcript.pyannote[3452].speaker |
SPEAKER_14 |
transcript.pyannote[3452].start |
16666.52346875 |
transcript.pyannote[3452].end |
16667.16471875 |
transcript.pyannote[3453].speaker |
SPEAKER_11 |
transcript.pyannote[3453].start |
16666.79346875 |
transcript.pyannote[3453].end |
16671.02909375 |
transcript.pyannote[3454].speaker |
SPEAKER_14 |
transcript.pyannote[3454].start |
16667.65409375 |
transcript.pyannote[3454].end |
16668.59909375 |
transcript.pyannote[3455].speaker |
SPEAKER_14 |
transcript.pyannote[3455].start |
16669.12221875 |
transcript.pyannote[3455].end |
16671.58596875 |
transcript.pyannote[3456].speaker |
SPEAKER_11 |
transcript.pyannote[3456].start |
16672.00784375 |
transcript.pyannote[3456].end |
16675.87221875 |
transcript.pyannote[3457].speaker |
SPEAKER_14 |
transcript.pyannote[3457].start |
16673.79659375 |
transcript.pyannote[3457].end |
16678.69034375 |
transcript.pyannote[3458].speaker |
SPEAKER_14 |
transcript.pyannote[3458].start |
16678.75784375 |
transcript.pyannote[3458].end |
16680.12471875 |
transcript.pyannote[3459].speaker |
SPEAKER_14 |
transcript.pyannote[3459].start |
16680.46221875 |
transcript.pyannote[3459].end |
16681.06971875 |
transcript.pyannote[3460].speaker |
SPEAKER_14 |
transcript.pyannote[3460].start |
16681.94721875 |
transcript.pyannote[3460].end |
16685.35596875 |
transcript.pyannote[3461].speaker |
SPEAKER_14 |
transcript.pyannote[3461].start |
16685.99721875 |
transcript.pyannote[3461].end |
16686.70596875 |
transcript.pyannote[3462].speaker |
SPEAKER_11 |
transcript.pyannote[3462].start |
16688.41034375 |
transcript.pyannote[3462].end |
16689.72659375 |
transcript.pyannote[3463].speaker |
SPEAKER_11 |
transcript.pyannote[3463].start |
16689.81096875 |
transcript.pyannote[3463].end |
16690.84034375 |
transcript.pyannote[3464].speaker |
SPEAKER_11 |
transcript.pyannote[3464].start |
16691.34659375 |
transcript.pyannote[3464].end |
16694.41784375 |
transcript.pyannote[3465].speaker |
SPEAKER_11 |
transcript.pyannote[3465].start |
16694.67096875 |
transcript.pyannote[3465].end |
16695.43034375 |
transcript.pyannote[3466].speaker |
SPEAKER_14 |
transcript.pyannote[3466].start |
16695.24471875 |
transcript.pyannote[3466].end |
16698.09659375 |
transcript.pyannote[3467].speaker |
SPEAKER_11 |
transcript.pyannote[3467].start |
16698.68721875 |
transcript.pyannote[3467].end |
16699.81784375 |
transcript.pyannote[3468].speaker |
SPEAKER_14 |
transcript.pyannote[3468].start |
16700.17221875 |
transcript.pyannote[3468].end |
16701.52221875 |
transcript.pyannote[3469].speaker |
SPEAKER_14 |
transcript.pyannote[3469].start |
16702.24784375 |
transcript.pyannote[3469].end |
16708.57596875 |
transcript.pyannote[3470].speaker |
SPEAKER_06 |
transcript.pyannote[3470].start |
16708.82909375 |
transcript.pyannote[3470].end |
16709.47034375 |
transcript.pyannote[3471].speaker |
SPEAKER_14 |
transcript.pyannote[3471].start |
16709.43659375 |
transcript.pyannote[3471].end |
16710.17909375 |
transcript.pyannote[3472].speaker |
SPEAKER_06 |
transcript.pyannote[3472].start |
16711.57971875 |
transcript.pyannote[3472].end |
16713.68909375 |
transcript.pyannote[3473].speaker |
SPEAKER_06 |
transcript.pyannote[3473].start |
16715.08971875 |
transcript.pyannote[3473].end |
16720.96221875 |
transcript.pyannote[3474].speaker |
SPEAKER_16 |
transcript.pyannote[3474].start |
16728.16784375 |
transcript.pyannote[3474].end |
16731.71159375 |
transcript.pyannote[3475].speaker |
SPEAKER_06 |
transcript.pyannote[3475].start |
16731.99846875 |
transcript.pyannote[3475].end |
16732.92659375 |
transcript.pyannote[3476].speaker |
SPEAKER_16 |
transcript.pyannote[3476].start |
16736.30159375 |
transcript.pyannote[3476].end |
16745.21159375 |
transcript.pyannote[3477].speaker |
SPEAKER_16 |
transcript.pyannote[3477].start |
16745.70096875 |
transcript.pyannote[3477].end |
16749.93659375 |
transcript.pyannote[3478].speaker |
SPEAKER_16 |
transcript.pyannote[3478].start |
16749.95346875 |
transcript.pyannote[3478].end |
16749.98721875 |
transcript.pyannote[3479].speaker |
SPEAKER_16 |
transcript.pyannote[3479].start |
16750.24034375 |
transcript.pyannote[3479].end |
16772.93721875 |
transcript.pyannote[3480].speaker |
SPEAKER_00 |
transcript.pyannote[3480].start |
16765.24221875 |
transcript.pyannote[3480].end |
16765.78221875 |
transcript.pyannote[3481].speaker |
SPEAKER_00 |
transcript.pyannote[3481].start |
16767.94221875 |
transcript.pyannote[3481].end |
16768.21221875 |
transcript.pyannote[3482].speaker |
SPEAKER_00 |
transcript.pyannote[3482].start |
16771.03034375 |
transcript.pyannote[3482].end |
16771.06409375 |
transcript.pyannote[3483].speaker |
SPEAKER_16 |
transcript.pyannote[3483].start |
16773.19034375 |
transcript.pyannote[3483].end |
16773.93284375 |
transcript.pyannote[3484].speaker |
SPEAKER_16 |
transcript.pyannote[3484].start |
16774.16909375 |
transcript.pyannote[3484].end |
16779.87284375 |
transcript.pyannote[3485].speaker |
SPEAKER_16 |
transcript.pyannote[3485].start |
16780.91909375 |
transcript.pyannote[3485].end |
16782.06659375 |
transcript.pyannote[3486].speaker |
SPEAKER_21 |
transcript.pyannote[3486].start |
16782.26909375 |
transcript.pyannote[3486].end |
16782.48846875 |
transcript.pyannote[3487].speaker |
SPEAKER_16 |
transcript.pyannote[3487].start |
16782.48846875 |
transcript.pyannote[3487].end |
16785.59346875 |
transcript.pyannote[3488].speaker |
SPEAKER_16 |
transcript.pyannote[3488].start |
16786.15034375 |
transcript.pyannote[3488].end |
16801.94534375 |
transcript.pyannote[3489].speaker |
SPEAKER_16 |
transcript.pyannote[3489].start |
16802.70471875 |
transcript.pyannote[3489].end |
16806.55221875 |
transcript.pyannote[3490].speaker |
SPEAKER_16 |
transcript.pyannote[3490].start |
16808.00346875 |
transcript.pyannote[3490].end |
16809.55596875 |
transcript.pyannote[3491].speaker |
SPEAKER_16 |
transcript.pyannote[3491].start |
16810.12971875 |
transcript.pyannote[3491].end |
16818.02721875 |
transcript.pyannote[3492].speaker |
SPEAKER_21 |
transcript.pyannote[3492].start |
16811.05784375 |
transcript.pyannote[3492].end |
16813.85909375 |
transcript.pyannote[3493].speaker |
SPEAKER_21 |
transcript.pyannote[3493].start |
16813.87596875 |
transcript.pyannote[3493].end |
16814.55096875 |
transcript.pyannote[3494].speaker |
SPEAKER_16 |
transcript.pyannote[3494].start |
16818.63471875 |
transcript.pyannote[3494].end |
16823.88284375 |
transcript.pyannote[3495].speaker |
SPEAKER_16 |
transcript.pyannote[3495].start |
16825.87409375 |
transcript.pyannote[3495].end |
16826.41409375 |
transcript.pyannote[3496].speaker |
SPEAKER_16 |
transcript.pyannote[3496].start |
16827.20721875 |
transcript.pyannote[3496].end |
16832.01659375 |
transcript.pyannote[3497].speaker |
SPEAKER_16 |
transcript.pyannote[3497].start |
16832.48909375 |
transcript.pyannote[3497].end |
16833.33284375 |
transcript.pyannote[3498].speaker |
SPEAKER_16 |
transcript.pyannote[3498].start |
16833.85596875 |
transcript.pyannote[3498].end |
16836.23534375 |
transcript.pyannote[3499].speaker |
SPEAKER_16 |
transcript.pyannote[3499].start |
16836.75846875 |
transcript.pyannote[3499].end |
16842.79971875 |
transcript.pyannote[3500].speaker |
SPEAKER_16 |
transcript.pyannote[3500].start |
16843.15409375 |
transcript.pyannote[3500].end |
16848.70596875 |
transcript.pyannote[3501].speaker |
SPEAKER_16 |
transcript.pyannote[3501].start |
16849.11096875 |
transcript.pyannote[3501].end |
16859.20221875 |
transcript.pyannote[3502].speaker |
SPEAKER_16 |
transcript.pyannote[3502].start |
16859.45534375 |
transcript.pyannote[3502].end |
16872.70221875 |
transcript.pyannote[3503].speaker |
SPEAKER_16 |
transcript.pyannote[3503].start |
16873.10721875 |
transcript.pyannote[3503].end |
16897.40721875 |
transcript.pyannote[3504].speaker |
SPEAKER_16 |
transcript.pyannote[3504].start |
16898.82471875 |
transcript.pyannote[3504].end |
16901.15346875 |
transcript.pyannote[3505].speaker |
SPEAKER_11 |
transcript.pyannote[3505].start |
16898.90909375 |
transcript.pyannote[3505].end |
16916.34096875 |
transcript.pyannote[3506].speaker |
SPEAKER_00 |
transcript.pyannote[3506].start |
16904.17409375 |
transcript.pyannote[3506].end |
16904.19096875 |
transcript.pyannote[3507].speaker |
SPEAKER_16 |
transcript.pyannote[3507].start |
16904.19096875 |
transcript.pyannote[3507].end |
16906.04721875 |
transcript.pyannote[3508].speaker |
SPEAKER_16 |
transcript.pyannote[3508].start |
16906.30034375 |
transcript.pyannote[3508].end |
16906.90784375 |
transcript.pyannote[3509].speaker |
SPEAKER_00 |
transcript.pyannote[3509].start |
16907.90346875 |
transcript.pyannote[3509].end |
16907.92034375 |
transcript.pyannote[3510].speaker |
SPEAKER_16 |
transcript.pyannote[3510].start |
16907.92034375 |
transcript.pyannote[3510].end |
16910.80596875 |
transcript.pyannote[3511].speaker |
SPEAKER_16 |
transcript.pyannote[3511].start |
16910.82284375 |
transcript.pyannote[3511].end |
16911.17721875 |
transcript.pyannote[3512].speaker |
SPEAKER_21 |
transcript.pyannote[3512].start |
16911.17721875 |
transcript.pyannote[3512].end |
16911.32909375 |
transcript.pyannote[3513].speaker |
SPEAKER_16 |
transcript.pyannote[3513].start |
16911.32909375 |
transcript.pyannote[3513].end |
16911.44721875 |
transcript.pyannote[3514].speaker |
SPEAKER_16 |
transcript.pyannote[3514].start |
16915.69971875 |
transcript.pyannote[3514].end |
16928.30534375 |
transcript.pyannote[3515].speaker |
SPEAKER_11 |
transcript.pyannote[3515].start |
16916.83034375 |
transcript.pyannote[3515].end |
16920.20534375 |
transcript.pyannote[3516].speaker |
SPEAKER_16 |
transcript.pyannote[3516].start |
16928.47409375 |
transcript.pyannote[3516].end |
16932.23721875 |
transcript.pyannote[3517].speaker |
SPEAKER_16 |
transcript.pyannote[3517].start |
16933.16534375 |
transcript.pyannote[3517].end |
16936.40534375 |
transcript.pyannote[3518].speaker |
SPEAKER_16 |
transcript.pyannote[3518].start |
16936.84409375 |
transcript.pyannote[3518].end |
16942.46346875 |
transcript.pyannote[3519].speaker |
SPEAKER_11 |
transcript.pyannote[3519].start |
16940.20221875 |
transcript.pyannote[3519].end |
16941.09659375 |
transcript.pyannote[3520].speaker |
SPEAKER_11 |
transcript.pyannote[3520].start |
16942.04159375 |
transcript.pyannote[3520].end |
16949.87159375 |
transcript.pyannote[3521].speaker |
SPEAKER_16 |
transcript.pyannote[3521].start |
16942.95284375 |
transcript.pyannote[3521].end |
16943.10471875 |
transcript.pyannote[3522].speaker |
SPEAKER_16 |
transcript.pyannote[3522].start |
16944.79221875 |
transcript.pyannote[3522].end |
16946.19284375 |
transcript.pyannote[3523].speaker |
SPEAKER_16 |
transcript.pyannote[3523].start |
16947.03659375 |
transcript.pyannote[3523].end |
16948.63971875 |
transcript.pyannote[3524].speaker |
SPEAKER_11 |
transcript.pyannote[3524].start |
16950.15846875 |
transcript.pyannote[3524].end |
16953.88784375 |
transcript.pyannote[3525].speaker |
SPEAKER_16 |
transcript.pyannote[3525].start |
16951.50846875 |
transcript.pyannote[3525].end |
16952.01471875 |
transcript.pyannote[3526].speaker |
SPEAKER_16 |
transcript.pyannote[3526].start |
16952.80784375 |
transcript.pyannote[3526].end |
16973.05784375 |
transcript.pyannote[3527].speaker |
SPEAKER_11 |
transcript.pyannote[3527].start |
16954.83284375 |
transcript.pyannote[3527].end |
16955.32221875 |
transcript.pyannote[3528].speaker |
SPEAKER_16 |
transcript.pyannote[3528].start |
16973.32784375 |
transcript.pyannote[3528].end |
16990.40534375 |
transcript.pyannote[3529].speaker |
SPEAKER_16 |
transcript.pyannote[3529].start |
16990.96221875 |
transcript.pyannote[3529].end |
16995.63659375 |
transcript.pyannote[3530].speaker |
SPEAKER_16 |
transcript.pyannote[3530].start |
16995.95721875 |
transcript.pyannote[3530].end |
16999.90596875 |
transcript.pyannote[3531].speaker |
SPEAKER_16 |
transcript.pyannote[3531].start |
17001.10409375 |
transcript.pyannote[3531].end |
17005.54221875 |
transcript.pyannote[3532].speaker |
SPEAKER_16 |
transcript.pyannote[3532].start |
17006.47034375 |
transcript.pyannote[3532].end |
17008.64721875 |
transcript.pyannote[3533].speaker |
SPEAKER_11 |
transcript.pyannote[3533].start |
17008.64721875 |
transcript.pyannote[3533].end |
17010.25034375 |
transcript.pyannote[3534].speaker |
SPEAKER_16 |
transcript.pyannote[3534].start |
17009.84534375 |
transcript.pyannote[3534].end |
17010.13221875 |
transcript.pyannote[3535].speaker |
SPEAKER_11 |
transcript.pyannote[3535].start |
17010.38534375 |
transcript.pyannote[3535].end |
17010.77346875 |
transcript.pyannote[3536].speaker |
SPEAKER_16 |
transcript.pyannote[3536].start |
17010.57096875 |
transcript.pyannote[3536].end |
17018.16471875 |
transcript.pyannote[3537].speaker |
SPEAKER_16 |
transcript.pyannote[3537].start |
17018.33346875 |
transcript.pyannote[3537].end |
17021.37096875 |
transcript.pyannote[3538].speaker |
SPEAKER_16 |
transcript.pyannote[3538].start |
17021.74221875 |
transcript.pyannote[3538].end |
17033.03159375 |
transcript.pyannote[3539].speaker |
SPEAKER_16 |
transcript.pyannote[3539].start |
17033.57159375 |
transcript.pyannote[3539].end |
17036.01846875 |
transcript.pyannote[3540].speaker |
SPEAKER_21 |
transcript.pyannote[3540].start |
17036.40659375 |
transcript.pyannote[3540].end |
17036.76096875 |
transcript.pyannote[3541].speaker |
SPEAKER_16 |
transcript.pyannote[3541].start |
17037.13221875 |
transcript.pyannote[3541].end |
17038.34721875 |
transcript.pyannote[3542].speaker |
SPEAKER_21 |
transcript.pyannote[3542].start |
17038.34721875 |
transcript.pyannote[3542].end |
17038.90409375 |
transcript.pyannote[3543].speaker |
SPEAKER_16 |
transcript.pyannote[3543].start |
17038.70159375 |
transcript.pyannote[3543].end |
17042.70096875 |
transcript.pyannote[3544].speaker |
SPEAKER_16 |
transcript.pyannote[3544].start |
17042.97096875 |
transcript.pyannote[3544].end |
17046.26159375 |
transcript.pyannote[3545].speaker |
SPEAKER_16 |
transcript.pyannote[3545].start |
17046.97034375 |
transcript.pyannote[3545].end |
17058.24284375 |
transcript.pyannote[3546].speaker |
SPEAKER_16 |
transcript.pyannote[3546].start |
17058.56346875 |
transcript.pyannote[3546].end |
17068.65471875 |
transcript.pyannote[3547].speaker |
SPEAKER_21 |
transcript.pyannote[3547].start |
17063.20409375 |
transcript.pyannote[3547].end |
17063.64284375 |
transcript.pyannote[3548].speaker |
SPEAKER_00 |
transcript.pyannote[3548].start |
17063.64284375 |
transcript.pyannote[3548].end |
17063.65971875 |
transcript.pyannote[3549].speaker |
SPEAKER_21 |
transcript.pyannote[3549].start |
17064.31784375 |
transcript.pyannote[3549].end |
17065.58346875 |
transcript.pyannote[3550].speaker |
SPEAKER_16 |
transcript.pyannote[3550].start |
17068.80659375 |
transcript.pyannote[3550].end |
17073.19409375 |
transcript.pyannote[3551].speaker |
SPEAKER_21 |
transcript.pyannote[3551].start |
17068.92471875 |
transcript.pyannote[3551].end |
17068.95846875 |
transcript.pyannote[3552].speaker |
SPEAKER_06 |
transcript.pyannote[3552].start |
17068.95846875 |
transcript.pyannote[3552].end |
17069.49846875 |
transcript.pyannote[3553].speaker |
SPEAKER_06 |
transcript.pyannote[3553].start |
17070.79784375 |
transcript.pyannote[3553].end |
17071.47284375 |
transcript.pyannote[3554].speaker |
SPEAKER_21 |
transcript.pyannote[3554].start |
17071.47284375 |
transcript.pyannote[3554].end |
17071.55721875 |
transcript.pyannote[3555].speaker |
SPEAKER_21 |
transcript.pyannote[3555].start |
17071.57409375 |
transcript.pyannote[3555].end |
17071.69221875 |
transcript.pyannote[3556].speaker |
SPEAKER_06 |
transcript.pyannote[3556].start |
17071.69221875 |
transcript.pyannote[3556].end |
17073.12659375 |
transcript.pyannote[3557].speaker |
SPEAKER_06 |
transcript.pyannote[3557].start |
17074.30784375 |
transcript.pyannote[3557].end |
17083.58909375 |
transcript.pyannote[3558].speaker |
SPEAKER_26 |
transcript.pyannote[3558].start |
17092.93784375 |
transcript.pyannote[3558].end |
17094.08534375 |
transcript.pyannote[3559].speaker |
SPEAKER_06 |
transcript.pyannote[3559].start |
17094.49034375 |
transcript.pyannote[3559].end |
17095.55346875 |
transcript.pyannote[3560].speaker |
SPEAKER_26 |
transcript.pyannote[3560].start |
17099.58659375 |
transcript.pyannote[3560].end |
17100.21096875 |
transcript.pyannote[3561].speaker |
SPEAKER_26 |
transcript.pyannote[3561].start |
17100.91971875 |
transcript.pyannote[3561].end |
17101.40909375 |
transcript.pyannote[3562].speaker |
SPEAKER_26 |
transcript.pyannote[3562].start |
17101.81409375 |
transcript.pyannote[3562].end |
17121.18659375 |
transcript.pyannote[3563].speaker |
SPEAKER_00 |
transcript.pyannote[3563].start |
17105.39159375 |
transcript.pyannote[3563].end |
17105.40846875 |
transcript.pyannote[3564].speaker |
SPEAKER_21 |
transcript.pyannote[3564].start |
17105.40846875 |
transcript.pyannote[3564].end |
17105.71221875 |
transcript.pyannote[3565].speaker |
SPEAKER_00 |
transcript.pyannote[3565].start |
17105.71221875 |
transcript.pyannote[3565].end |
17105.79659375 |
transcript.pyannote[3566].speaker |
SPEAKER_11 |
transcript.pyannote[3566].start |
17121.76034375 |
transcript.pyannote[3566].end |
17127.46409375 |
transcript.pyannote[3567].speaker |
SPEAKER_11 |
transcript.pyannote[3567].start |
17127.97034375 |
transcript.pyannote[3567].end |
17131.68284375 |
transcript.pyannote[3568].speaker |
SPEAKER_11 |
transcript.pyannote[3568].start |
17132.00346875 |
transcript.pyannote[3568].end |
17132.79659375 |
transcript.pyannote[3569].speaker |
SPEAKER_11 |
transcript.pyannote[3569].start |
17133.20159375 |
transcript.pyannote[3569].end |
17139.93471875 |
transcript.pyannote[3570].speaker |
SPEAKER_26 |
transcript.pyannote[3570].start |
17138.66909375 |
transcript.pyannote[3570].end |
17140.60971875 |
transcript.pyannote[3571].speaker |
SPEAKER_11 |
transcript.pyannote[3571].start |
17140.60971875 |
transcript.pyannote[3571].end |
17140.96409375 |
transcript.pyannote[3572].speaker |
SPEAKER_26 |
transcript.pyannote[3572].start |
17140.96409375 |
transcript.pyannote[3572].end |
17145.16596875 |
transcript.pyannote[3573].speaker |
SPEAKER_11 |
transcript.pyannote[3573].start |
17146.26284375 |
transcript.pyannote[3573].end |
17147.17409375 |
transcript.pyannote[3574].speaker |
SPEAKER_26 |
transcript.pyannote[3574].start |
17147.30909375 |
transcript.pyannote[3574].end |
17149.65471875 |
transcript.pyannote[3575].speaker |
SPEAKER_11 |
transcript.pyannote[3575].start |
17149.65471875 |
transcript.pyannote[3575].end |
17150.85284375 |
transcript.pyannote[3576].speaker |
SPEAKER_26 |
transcript.pyannote[3576].start |
17151.22409375 |
transcript.pyannote[3576].end |
17152.69221875 |
transcript.pyannote[3577].speaker |
SPEAKER_26 |
transcript.pyannote[3577].start |
17153.26596875 |
transcript.pyannote[3577].end |
17155.10534375 |
transcript.pyannote[3578].speaker |
SPEAKER_11 |
transcript.pyannote[3578].start |
17154.75096875 |
transcript.pyannote[3578].end |
17155.02096875 |
transcript.pyannote[3579].speaker |
SPEAKER_26 |
transcript.pyannote[3579].start |
17155.83096875 |
transcript.pyannote[3579].end |
17157.85596875 |
transcript.pyannote[3580].speaker |
SPEAKER_26 |
transcript.pyannote[3580].start |
17159.72909375 |
transcript.pyannote[3580].end |
17161.04534375 |
transcript.pyannote[3581].speaker |
SPEAKER_26 |
transcript.pyannote[3581].start |
17161.78784375 |
transcript.pyannote[3581].end |
17174.35971875 |
transcript.pyannote[3582].speaker |
SPEAKER_11 |
transcript.pyannote[3582].start |
17174.35971875 |
transcript.pyannote[3582].end |
17174.93346875 |
transcript.pyannote[3583].speaker |
SPEAKER_11 |
transcript.pyannote[3583].start |
17175.50721875 |
transcript.pyannote[3583].end |
17182.07159375 |
transcript.pyannote[3584].speaker |
SPEAKER_26 |
transcript.pyannote[3584].start |
17179.38846875 |
transcript.pyannote[3584].end |
17195.33534375 |
transcript.pyannote[3585].speaker |
SPEAKER_26 |
transcript.pyannote[3585].start |
17196.28034375 |
transcript.pyannote[3585].end |
17196.97221875 |
transcript.pyannote[3586].speaker |
SPEAKER_26 |
transcript.pyannote[3586].start |
17198.37284375 |
transcript.pyannote[3586].end |
17221.72784375 |
transcript.pyannote[3587].speaker |
SPEAKER_26 |
transcript.pyannote[3587].start |
17222.08221875 |
transcript.pyannote[3587].end |
17229.60846875 |
transcript.pyannote[3588].speaker |
SPEAKER_26 |
transcript.pyannote[3588].start |
17230.03034375 |
transcript.pyannote[3588].end |
17232.78096875 |
transcript.pyannote[3589].speaker |
SPEAKER_11 |
transcript.pyannote[3589].start |
17233.43909375 |
transcript.pyannote[3589].end |
17236.29096875 |
transcript.pyannote[3590].speaker |
SPEAKER_11 |
transcript.pyannote[3590].start |
17236.64534375 |
transcript.pyannote[3590].end |
17237.52284375 |
transcript.pyannote[3591].speaker |
SPEAKER_11 |
transcript.pyannote[3591].start |
17237.65784375 |
transcript.pyannote[3591].end |
17242.23096875 |
transcript.pyannote[3592].speaker |
SPEAKER_26 |
transcript.pyannote[3592].start |
17241.70784375 |
transcript.pyannote[3592].end |
17262.97034375 |
transcript.pyannote[3593].speaker |
SPEAKER_11 |
transcript.pyannote[3593].start |
17244.28971875 |
transcript.pyannote[3593].end |
17244.93096875 |
transcript.pyannote[3594].speaker |
SPEAKER_02 |
transcript.pyannote[3594].start |
17249.79096875 |
transcript.pyannote[3594].end |
17250.97221875 |
transcript.pyannote[3595].speaker |
SPEAKER_02 |
transcript.pyannote[3595].start |
17252.40659375 |
transcript.pyannote[3595].end |
17252.77784375 |
transcript.pyannote[3596].speaker |
SPEAKER_00 |
transcript.pyannote[3596].start |
17253.68909375 |
transcript.pyannote[3596].end |
17253.82409375 |
transcript.pyannote[3597].speaker |
SPEAKER_11 |
transcript.pyannote[3597].start |
17262.97034375 |
transcript.pyannote[3597].end |
17272.97721875 |
transcript.pyannote[3598].speaker |
SPEAKER_26 |
transcript.pyannote[3598].start |
17263.15596875 |
transcript.pyannote[3598].end |
17263.49346875 |
transcript.pyannote[3599].speaker |
SPEAKER_26 |
transcript.pyannote[3599].start |
17266.68284375 |
transcript.pyannote[3599].end |
17276.40284375 |
transcript.pyannote[3600].speaker |
SPEAKER_26 |
transcript.pyannote[3600].start |
17276.77409375 |
transcript.pyannote[3600].end |
17278.86659375 |
transcript.pyannote[3601].speaker |
SPEAKER_26 |
transcript.pyannote[3601].start |
17279.54159375 |
transcript.pyannote[3601].end |
17281.85346875 |
transcript.pyannote[3602].speaker |
SPEAKER_26 |
transcript.pyannote[3602].start |
17282.41034375 |
transcript.pyannote[3602].end |
17302.08659375 |
transcript.pyannote[3603].speaker |
SPEAKER_26 |
transcript.pyannote[3603].start |
17302.67721875 |
transcript.pyannote[3603].end |
17315.02971875 |
transcript.pyannote[3604].speaker |
SPEAKER_11 |
transcript.pyannote[3604].start |
17307.25034375 |
transcript.pyannote[3604].end |
17307.67221875 |
transcript.pyannote[3605].speaker |
SPEAKER_11 |
transcript.pyannote[3605].start |
17309.22471875 |
transcript.pyannote[3605].end |
17309.89971875 |
transcript.pyannote[3606].speaker |
SPEAKER_11 |
transcript.pyannote[3606].start |
17316.22784375 |
transcript.pyannote[3606].end |
17323.72034375 |
transcript.pyannote[3607].speaker |
SPEAKER_26 |
transcript.pyannote[3607].start |
17320.83471875 |
transcript.pyannote[3607].end |
17325.03659375 |
transcript.pyannote[3608].speaker |
SPEAKER_26 |
transcript.pyannote[3608].start |
17325.32346875 |
transcript.pyannote[3608].end |
17326.21784375 |
transcript.pyannote[3609].speaker |
SPEAKER_26 |
transcript.pyannote[3609].start |
17327.33159375 |
transcript.pyannote[3609].end |
17330.08221875 |
transcript.pyannote[3610].speaker |
SPEAKER_11 |
transcript.pyannote[3610].start |
17331.46596875 |
transcript.pyannote[3610].end |
17331.90471875 |
transcript.pyannote[3611].speaker |
SPEAKER_26 |
transcript.pyannote[3611].start |
17332.79909375 |
transcript.pyannote[3611].end |
17335.38096875 |
transcript.pyannote[3612].speaker |
SPEAKER_11 |
transcript.pyannote[3612].start |
17335.29659375 |
transcript.pyannote[3612].end |
17336.69721875 |
transcript.pyannote[3613].speaker |
SPEAKER_26 |
transcript.pyannote[3613].start |
17335.98846875 |
transcript.pyannote[3613].end |
17340.79784375 |
transcript.pyannote[3614].speaker |
SPEAKER_26 |
transcript.pyannote[3614].start |
17341.70909375 |
transcript.pyannote[3614].end |
17342.87346875 |
transcript.pyannote[3615].speaker |
SPEAKER_26 |
transcript.pyannote[3615].start |
17343.44721875 |
transcript.pyannote[3615].end |
17352.81284375 |
transcript.pyannote[3616].speaker |
SPEAKER_26 |
transcript.pyannote[3616].start |
17353.26846875 |
transcript.pyannote[3616].end |
17355.56346875 |
transcript.pyannote[3617].speaker |
SPEAKER_26 |
transcript.pyannote[3617].start |
17356.39034375 |
transcript.pyannote[3617].end |
17366.92034375 |
transcript.pyannote[3618].speaker |
SPEAKER_11 |
transcript.pyannote[3618].start |
17358.98909375 |
transcript.pyannote[3618].end |
17359.34346875 |
transcript.pyannote[3619].speaker |
SPEAKER_26 |
transcript.pyannote[3619].start |
17368.96221875 |
transcript.pyannote[3619].end |
17376.52221875 |
transcript.pyannote[3620].speaker |
SPEAKER_26 |
transcript.pyannote[3620].start |
17376.97784375 |
transcript.pyannote[3620].end |
17380.25159375 |
transcript.pyannote[3621].speaker |
SPEAKER_26 |
transcript.pyannote[3621].start |
17380.77471875 |
transcript.pyannote[3621].end |
17385.09471875 |
transcript.pyannote[3622].speaker |
SPEAKER_11 |
transcript.pyannote[3622].start |
17384.36909375 |
transcript.pyannote[3622].end |
17384.70659375 |
transcript.pyannote[3623].speaker |
SPEAKER_06 |
transcript.pyannote[3623].start |
17386.59659375 |
transcript.pyannote[3623].end |
17389.53284375 |
transcript.pyannote[3624].speaker |
SPEAKER_06 |
transcript.pyannote[3624].start |
17390.89971875 |
transcript.pyannote[3624].end |
17394.24096875 |
transcript.pyannote[3625].speaker |
SPEAKER_10 |
transcript.pyannote[3625].start |
17402.00346875 |
transcript.pyannote[3625].end |
17405.76659375 |
transcript.pyannote[3626].speaker |
SPEAKER_10 |
transcript.pyannote[3626].start |
17406.76221875 |
transcript.pyannote[3626].end |
17408.07846875 |
transcript.pyannote[3627].speaker |
SPEAKER_24 |
transcript.pyannote[3627].start |
17410.64346875 |
transcript.pyannote[3627].end |
17411.30159375 |
transcript.pyannote[3628].speaker |
SPEAKER_10 |
transcript.pyannote[3628].start |
17411.57159375 |
transcript.pyannote[3628].end |
17426.94471875 |
transcript.pyannote[3629].speaker |
SPEAKER_10 |
transcript.pyannote[3629].start |
17427.07971875 |
transcript.pyannote[3629].end |
17438.84159375 |
transcript.pyannote[3630].speaker |
SPEAKER_10 |
transcript.pyannote[3630].start |
17439.39846875 |
transcript.pyannote[3630].end |
17444.05596875 |
transcript.pyannote[3631].speaker |
SPEAKER_10 |
transcript.pyannote[3631].start |
17444.91659375 |
transcript.pyannote[3631].end |
17461.87596875 |
transcript.pyannote[3632].speaker |
SPEAKER_10 |
transcript.pyannote[3632].start |
17462.02784375 |
transcript.pyannote[3632].end |
17476.32096875 |
transcript.pyannote[3633].speaker |
SPEAKER_10 |
transcript.pyannote[3633].start |
17476.92846875 |
transcript.pyannote[3633].end |
17497.53284375 |
transcript.pyannote[3634].speaker |
SPEAKER_10 |
transcript.pyannote[3634].start |
17497.87034375 |
transcript.pyannote[3634].end |
17501.21159375 |
transcript.pyannote[3635].speaker |
SPEAKER_10 |
transcript.pyannote[3635].start |
17501.92034375 |
transcript.pyannote[3635].end |
17523.14909375 |
transcript.pyannote[3636].speaker |
SPEAKER_24 |
transcript.pyannote[3636].start |
17524.33034375 |
transcript.pyannote[3636].end |
17556.15659375 |
transcript.pyannote[3637].speaker |
SPEAKER_10 |
transcript.pyannote[3637].start |
17552.95034375 |
transcript.pyannote[3637].end |
17558.56971875 |
transcript.pyannote[3638].speaker |
SPEAKER_10 |
transcript.pyannote[3638].start |
17559.34596875 |
transcript.pyannote[3638].end |
17570.39909375 |
transcript.pyannote[3639].speaker |
SPEAKER_24 |
transcript.pyannote[3639].start |
17569.15034375 |
transcript.pyannote[3639].end |
17579.96721875 |
transcript.pyannote[3640].speaker |
SPEAKER_10 |
transcript.pyannote[3640].start |
17579.78159375 |
transcript.pyannote[3640].end |
17591.30721875 |
transcript.pyannote[3641].speaker |
SPEAKER_10 |
transcript.pyannote[3641].start |
17591.89784375 |
transcript.pyannote[3641].end |
17593.36596875 |
transcript.pyannote[3642].speaker |
SPEAKER_24 |
transcript.pyannote[3642].start |
17593.33221875 |
transcript.pyannote[3642].end |
17594.59784375 |
transcript.pyannote[3643].speaker |
SPEAKER_10 |
transcript.pyannote[3643].start |
17593.88909375 |
transcript.pyannote[3643].end |
17594.10846875 |
transcript.pyannote[3644].speaker |
SPEAKER_10 |
transcript.pyannote[3644].start |
17594.58096875 |
transcript.pyannote[3644].end |
17614.57784375 |
transcript.pyannote[3645].speaker |
SPEAKER_00 |
transcript.pyannote[3645].start |
17606.62971875 |
transcript.pyannote[3645].end |
17606.84909375 |
transcript.pyannote[3646].speaker |
SPEAKER_10 |
transcript.pyannote[3646].start |
17614.99971875 |
transcript.pyannote[3646].end |
17624.60159375 |
transcript.pyannote[3647].speaker |
SPEAKER_10 |
transcript.pyannote[3647].start |
17624.82096875 |
transcript.pyannote[3647].end |
17625.49596875 |
transcript.pyannote[3648].speaker |
SPEAKER_10 |
transcript.pyannote[3648].start |
17626.32284375 |
transcript.pyannote[3648].end |
17630.62596875 |
transcript.pyannote[3649].speaker |
SPEAKER_10 |
transcript.pyannote[3649].start |
17630.82846875 |
transcript.pyannote[3649].end |
17665.52346875 |
transcript.pyannote[3650].speaker |
SPEAKER_10 |
transcript.pyannote[3650].start |
17665.91159375 |
transcript.pyannote[3650].end |
17672.99909375 |
transcript.pyannote[3651].speaker |
SPEAKER_10 |
transcript.pyannote[3651].start |
17673.65721875 |
transcript.pyannote[3651].end |
17700.35346875 |
transcript.pyannote[3652].speaker |
SPEAKER_10 |
transcript.pyannote[3652].start |
17701.39971875 |
transcript.pyannote[3652].end |
17706.96846875 |
transcript.pyannote[3653].speaker |
SPEAKER_10 |
transcript.pyannote[3653].start |
17707.28909375 |
transcript.pyannote[3653].end |
17708.25096875 |
transcript.pyannote[3654].speaker |
SPEAKER_10 |
transcript.pyannote[3654].start |
17708.87534375 |
transcript.pyannote[3654].end |
17711.72721875 |
transcript.pyannote[3655].speaker |
SPEAKER_10 |
transcript.pyannote[3655].start |
17711.86221875 |
transcript.pyannote[3655].end |
17717.92034375 |
transcript.pyannote[3656].speaker |
SPEAKER_24 |
transcript.pyannote[3656].start |
17718.00471875 |
transcript.pyannote[3656].end |
17718.02159375 |
transcript.pyannote[3657].speaker |
SPEAKER_10 |
transcript.pyannote[3657].start |
17718.02159375 |
transcript.pyannote[3657].end |
17718.03846875 |
transcript.pyannote[3658].speaker |
SPEAKER_24 |
transcript.pyannote[3658].start |
17718.03846875 |
transcript.pyannote[3658].end |
17743.28346875 |
transcript.pyannote[3659].speaker |
SPEAKER_10 |
transcript.pyannote[3659].start |
17743.21596875 |
transcript.pyannote[3659].end |
17745.96659375 |
transcript.pyannote[3660].speaker |
SPEAKER_24 |
transcript.pyannote[3660].start |
17745.32534375 |
transcript.pyannote[3660].end |
17748.36284375 |
transcript.pyannote[3661].speaker |
SPEAKER_10 |
transcript.pyannote[3661].start |
17747.04659375 |
transcript.pyannote[3661].end |
17757.35721875 |
transcript.pyannote[3662].speaker |
SPEAKER_24 |
transcript.pyannote[3662].start |
17758.20096875 |
transcript.pyannote[3662].end |
17775.09284375 |
transcript.pyannote[3663].speaker |
SPEAKER_10 |
transcript.pyannote[3663].start |
17774.36721875 |
transcript.pyannote[3663].end |
17775.26159375 |
transcript.pyannote[3664].speaker |
SPEAKER_24 |
transcript.pyannote[3664].start |
17775.21096875 |
transcript.pyannote[3664].end |
17782.21409375 |
transcript.pyannote[3665].speaker |
SPEAKER_10 |
transcript.pyannote[3665].start |
17775.27846875 |
transcript.pyannote[3665].end |
17775.31221875 |
transcript.pyannote[3666].speaker |
SPEAKER_10 |
transcript.pyannote[3666].start |
17780.47596875 |
transcript.pyannote[3666].end |
17821.29659375 |
transcript.pyannote[3667].speaker |
SPEAKER_10 |
transcript.pyannote[3667].start |
17821.39784375 |
transcript.pyannote[3667].end |
17825.70096875 |
transcript.pyannote[3668].speaker |
SPEAKER_10 |
transcript.pyannote[3668].start |
17826.49409375 |
transcript.pyannote[3668].end |
17827.47284375 |
transcript.pyannote[3669].speaker |
SPEAKER_10 |
transcript.pyannote[3669].start |
17828.06346875 |
transcript.pyannote[3669].end |
17834.30721875 |
transcript.pyannote[3670].speaker |
SPEAKER_10 |
transcript.pyannote[3670].start |
17834.52659375 |
transcript.pyannote[3670].end |
17843.25096875 |
transcript.pyannote[3671].speaker |
SPEAKER_10 |
transcript.pyannote[3671].start |
17844.43221875 |
transcript.pyannote[3671].end |
17864.68221875 |
transcript.pyannote[3672].speaker |
SPEAKER_10 |
transcript.pyannote[3672].start |
17865.25596875 |
transcript.pyannote[3672].end |
17867.14596875 |
transcript.pyannote[3673].speaker |
SPEAKER_10 |
transcript.pyannote[3673].start |
17867.95596875 |
transcript.pyannote[3673].end |
17868.25971875 |
transcript.pyannote[3674].speaker |
SPEAKER_10 |
transcript.pyannote[3674].start |
17869.57596875 |
transcript.pyannote[3674].end |
17871.02721875 |
transcript.pyannote[3675].speaker |
SPEAKER_10 |
transcript.pyannote[3675].start |
17871.76971875 |
transcript.pyannote[3675].end |
17891.34471875 |
transcript.pyannote[3676].speaker |
SPEAKER_10 |
transcript.pyannote[3676].start |
17891.85096875 |
transcript.pyannote[3676].end |
17892.93096875 |
transcript.pyannote[3677].speaker |
SPEAKER_10 |
transcript.pyannote[3677].start |
17893.77471875 |
transcript.pyannote[3677].end |
17894.31471875 |
transcript.pyannote[3678].speaker |
SPEAKER_10 |
transcript.pyannote[3678].start |
17894.63534375 |
transcript.pyannote[3678].end |
17896.87971875 |
transcript.pyannote[3679].speaker |
SPEAKER_10 |
transcript.pyannote[3679].start |
17897.53784375 |
transcript.pyannote[3679].end |
17903.57909375 |
transcript.pyannote[3680].speaker |
SPEAKER_10 |
transcript.pyannote[3680].start |
17904.28784375 |
transcript.pyannote[3680].end |
17905.24971875 |
transcript.pyannote[3681].speaker |
SPEAKER_10 |
transcript.pyannote[3681].start |
17905.78971875 |
transcript.pyannote[3681].end |
17907.62909375 |
transcript.pyannote[3682].speaker |
SPEAKER_10 |
transcript.pyannote[3682].start |
17908.06784375 |
transcript.pyannote[3682].end |
17917.92284375 |
transcript.pyannote[3683].speaker |
SPEAKER_10 |
transcript.pyannote[3683].start |
17918.12534375 |
transcript.pyannote[3683].end |
17921.34846875 |
transcript.pyannote[3684].speaker |
SPEAKER_10 |
transcript.pyannote[3684].start |
17921.55096875 |
transcript.pyannote[3684].end |
17928.19971875 |
transcript.pyannote[3685].speaker |
SPEAKER_24 |
transcript.pyannote[3685].start |
17928.19971875 |
transcript.pyannote[3685].end |
17928.73971875 |
transcript.pyannote[3686].speaker |
SPEAKER_10 |
transcript.pyannote[3686].start |
17928.94221875 |
transcript.pyannote[3686].end |
17929.07721875 |
transcript.pyannote[3687].speaker |
SPEAKER_10 |
transcript.pyannote[3687].start |
17929.17846875 |
transcript.pyannote[3687].end |
17931.79409375 |
transcript.pyannote[3688].speaker |
SPEAKER_10 |
transcript.pyannote[3688].start |
17932.03034375 |
transcript.pyannote[3688].end |
17932.04721875 |
transcript.pyannote[3689].speaker |
SPEAKER_10 |
transcript.pyannote[3689].start |
17932.06409375 |
transcript.pyannote[3689].end |
17953.91721875 |
transcript.pyannote[3690].speaker |
SPEAKER_10 |
transcript.pyannote[3690].start |
17954.33909375 |
transcript.pyannote[3690].end |
17959.09784375 |
transcript.pyannote[3691].speaker |
SPEAKER_10 |
transcript.pyannote[3691].start |
17959.19909375 |
transcript.pyannote[3691].end |
17962.42221875 |
transcript.pyannote[3692].speaker |
SPEAKER_10 |
transcript.pyannote[3692].start |
17962.47284375 |
transcript.pyannote[3692].end |
17962.84409375 |
transcript.pyannote[3693].speaker |
SPEAKER_10 |
transcript.pyannote[3693].start |
17962.87784375 |
transcript.pyannote[3693].end |
17978.40284375 |
transcript.pyannote[3694].speaker |
SPEAKER_10 |
transcript.pyannote[3694].start |
17978.55471875 |
transcript.pyannote[3694].end |
17995.91909375 |
transcript.pyannote[3695].speaker |
SPEAKER_24 |
transcript.pyannote[3695].start |
17996.15534375 |
transcript.pyannote[3695].end |
17996.18909375 |
transcript.pyannote[3696].speaker |
SPEAKER_10 |
transcript.pyannote[3696].start |
17996.18909375 |
transcript.pyannote[3696].end |
17997.80909375 |
transcript.pyannote[3697].speaker |
SPEAKER_24 |
transcript.pyannote[3697].start |
17996.20596875 |
transcript.pyannote[3697].end |
18008.71034375 |
transcript.pyannote[3698].speaker |
SPEAKER_08 |
transcript.pyannote[3698].start |
17997.80909375 |
transcript.pyannote[3698].end |
17997.82596875 |
transcript.pyannote[3699].speaker |
SPEAKER_10 |
transcript.pyannote[3699].start |
18007.22534375 |
transcript.pyannote[3699].end |
18037.49909375 |
transcript.pyannote[3700].speaker |
SPEAKER_24 |
transcript.pyannote[3700].start |
18037.49909375 |
transcript.pyannote[3700].end |
18038.24159375 |
transcript.pyannote[3701].speaker |
SPEAKER_10 |
transcript.pyannote[3701].start |
18039.13596875 |
transcript.pyannote[3701].end |
18039.16971875 |
transcript.pyannote[3702].speaker |
SPEAKER_06 |
transcript.pyannote[3702].start |
18039.16971875 |
transcript.pyannote[3702].end |
18041.75159375 |
transcript.pyannote[3703].speaker |
SPEAKER_06 |
transcript.pyannote[3703].start |
18042.00471875 |
transcript.pyannote[3703].end |
18045.83534375 |
transcript.pyannote[3704].speaker |
SPEAKER_06 |
transcript.pyannote[3704].start |
18046.29096875 |
transcript.pyannote[3704].end |
18049.15971875 |
transcript.pyannote[3705].speaker |
SPEAKER_06 |
transcript.pyannote[3705].start |
18049.39596875 |
transcript.pyannote[3705].end |
18052.58534375 |
transcript.pyannote[3706].speaker |
SPEAKER_06 |
transcript.pyannote[3706].start |
18053.07471875 |
transcript.pyannote[3706].end |
18056.29784375 |
transcript.pyannote[3707].speaker |
SPEAKER_06 |
transcript.pyannote[3707].start |
18056.66909375 |
transcript.pyannote[3707].end |
18062.45721875 |
transcript.pyannote[3708].speaker |
SPEAKER_06 |
transcript.pyannote[3708].start |
18062.76096875 |
transcript.pyannote[3708].end |
18065.76471875 |
transcript.pyannote[3709].speaker |
SPEAKER_06 |
transcript.pyannote[3709].start |
18065.79846875 |
transcript.pyannote[3709].end |
18068.97096875 |
transcript.pyannote[3710].speaker |
SPEAKER_06 |
transcript.pyannote[3710].start |
18071.58659375 |
transcript.pyannote[3710].end |
18071.99159375 |
transcript.pyannote[3711].speaker |
SPEAKER_06 |
transcript.pyannote[3711].start |
18072.86909375 |
transcript.pyannote[3711].end |
18079.04534375 |
transcript.pyannote[3712].speaker |
SPEAKER_06 |
transcript.pyannote[3712].start |
18082.33596875 |
transcript.pyannote[3712].end |
18082.69034375 |
transcript.pyannote[3713].speaker |
SPEAKER_06 |
transcript.pyannote[3713].start |
18083.61846875 |
transcript.pyannote[3713].end |
18093.27096875 |
transcript.pyannote[3714].speaker |
SPEAKER_06 |
transcript.pyannote[3714].start |
18093.55784375 |
transcript.pyannote[3714].end |
18099.37971875 |
transcript.pyannote[3715].speaker |
SPEAKER_06 |
transcript.pyannote[3715].start |
18099.64971875 |
transcript.pyannote[3715].end |
18100.02096875 |
transcript.pyannote[3716].speaker |
SPEAKER_06 |
transcript.pyannote[3716].start |
18100.44284375 |
transcript.pyannote[3716].end |
18101.26971875 |
transcript.pyannote[3717].speaker |
SPEAKER_06 |
transcript.pyannote[3717].start |
18101.91096875 |
transcript.pyannote[3717].end |
18104.17221875 |
transcript.pyannote[3718].speaker |
SPEAKER_06 |
transcript.pyannote[3718].start |
18104.57721875 |
transcript.pyannote[3718].end |
18106.45034375 |
transcript.pyannote[3719].speaker |
SPEAKER_06 |
transcript.pyannote[3719].start |
18106.60221875 |
transcript.pyannote[3719].end |
18119.08971875 |
transcript.pyannote[3720].speaker |
SPEAKER_06 |
transcript.pyannote[3720].start |
18119.17409375 |
transcript.pyannote[3720].end |
18120.40596875 |
transcript.pyannote[3721].speaker |
SPEAKER_06 |
transcript.pyannote[3721].start |
18120.76034375 |
transcript.pyannote[3721].end |
18127.86471875 |
transcript.pyannote[3722].speaker |
SPEAKER_21 |
transcript.pyannote[3722].start |
18127.45971875 |
transcript.pyannote[3722].end |
18127.72971875 |
transcript.whisperx[0].start |
137.715 |
transcript.whisperx[0].end |
139.544 |
transcript.whisperx[0].text |
本集完 |
transcript.whisperx[1].start |
1797.588 |
transcript.whisperx[1].end |
1806.373 |
transcript.whisperx[1].text |
好,出席委員已足法定人數,我們現在開會,請議事院員宣讀上次會議議事錄。立法院第11屆第1會期社會福利及衛生環境委員會第2次全體委員會議議事錄,時間113年3月4日星期一,9時2分至13時17分,地點群賢樓801會議室,出席委員陳昭芝等15人。 |
transcript.whisperx[2].start |
1819.099 |
transcript.whisperx[2].end |
1832.837 |
transcript.whisperx[2].text |
列席委員林德福等32人、列席官員、行政院食品安全辦公室主任許甫及衛生福利部部長薛瑞元等相關人員、主席王兆吉委員喻敏。報告事項,宣讀上次會議議事錄,決定確定。 |
transcript.whisperx[3].start |
1835.16 |
transcript.whisperx[3].end |
1857.368 |
transcript.whisperx[3].text |
邀請行政院食品安全辦公室、衛生福利部部長、食品藥物管理署就食安五環執行狀況及蘇丹紅事件處理之檢討進行專題報告.並備質詢。本次會議由衛生福利部部長薛瑞元報告後委員陳昭資等22人提出質詢均經行政院食品安全辦公室主任及衛生福利部部長 |
transcript.whisperx[4].start |
1858.268 |
transcript.whisperx[4].end |
1859.209 |
transcript.whisperx[4].text |
請問委員會上次議事錄有沒有錯誤或遺漏之處? |
transcript.whisperx[5].start |
1884.568 |
transcript.whisperx[5].end |
1885.389 |
transcript.whisperx[5].text |
現在介紹在場的委員及列席的官員蘇清泉委員 |
transcript.whisperx[6].start |
1909.143 |
transcript.whisperx[6].end |
1935.2 |
transcript.whisperx[6].text |
陳金輝委員.黃秀芳委員.莊瑞雄委員.林月琴委員.王振旭委員那接下來我們介紹列席的官員.勞動部許明春部長.勞動力發展署蔡孟良署長.勞動基金運用局蘇玉清局長.職業安全衛生署周子蓮署長 |
transcript.whisperx[7].start |
1937.322 |
transcript.whisperx[7].end |
1961.46 |
transcript.whisperx[7].text |
勞動關係司王厚偉司長勞動保險司陳美女司長勞動福祉退休司謝倩倩司長勞動條件及就業平等司黃維琛司長介紹外交部亞東太平洋司許書智副司長張千彥副參事 |
transcript.whisperx[8].start |
1963.963 |
transcript.whisperx[8].end |
1989.069 |
transcript.whisperx[8].text |
領事事務局簽證組柯孝宗組長、衛生福利部長照司助建方司長、疾管署郭俊賢副組長、內政部宗教及理智司葉唐根生專門委員、移民署國際及執法事務組張文秀組長、 |
transcript.whisperx[9].start |
1991.687 |
transcript.whisperx[9].end |
2003.853 |
transcript.whisperx[9].text |
警政署國際組甘延明副組長國家安全局陳專門委員好以上那現在我們就請勞動部許部長報告報告時間5分鐘謝謝主席 |
transcript.whisperx[10].start |
2011.004 |
transcript.whisperx[10].end |
2025.277 |
transcript.whisperx[10].text |
各位委員先進:各位記者女士先生大家好:感謝貴委員會邀請本部就開放印度移工對本國勞工就業市場的衝擊進行報告:也請各位委員給予指教:國發會退僱工作年齡人口從112年的1620萬人減少至119年的 |
transcript.whisperx[11].start |
2034.186 |
transcript.whisperx[11].end |
2057.547 |
transcript.whisperx[11].text |
570,000人7年就減少了113萬人基層勞動力嚴重不足製造業營造業缺工問題嚴重施能照顧需求日增移工需求有逐漸增加的趨勢那截至112年底在台移工累計是75.4萬人絕大多數來自印尼、越南、菲律賓及泰國四個國家製造業以越南及22.2萬人最多 |
transcript.whisperx[12].start |
2059.537 |
transcript.whisperx[12].end |
2079.555 |
transcript.whisperx[12].text |
社福類印尼籍是7.9萬人最多.只要任何一個國家減少或停止輸出.會立即衝擊我國移工的來源.相較於臨近開放移工的國家.日韓都有15國.新加坡有11國.我國僅有4國.僱主團體及大院曾多次要求積極開發新移工來源國. |
transcript.whisperx[13].start |
2081.557 |
transcript.whisperx[13].end |
2105.804 |
transcript.whisperx[13].text |
新增來源國有其必要.而且主要是為了降低對有限來源國的依賴風險提供僱主多一個選擇僱主可自行選擇來源新增來源國並沒有新開放移工行業也沒有放寬僱主的資格或調高移工人數的比率僱主仍需符合申請資格並立規定來核算移工的名額臺印的勞工 |
transcript.whisperx[14].start |
2106.889 |
transcript.whisperx[14].end |
2131.204 |
transcript.whisperx[14].text |
合作MOU以及明定引進移工的行業及人數由我方決定本部將在既有開放的行業內跨部會來評估需求及本國勞工就業的情形與印度洽商我方所需要的引進的移工行業及人數並依我國要求培訓及招募依舊服法的規定僱主引進移工以前需依合理的勞動條件、薪資規定辦理國內求採程序 |
transcript.whisperx[15].start |
2134.066 |
transcript.whisperx[15].end |
2159.328 |
transcript.whisperx[15].text |
招募本國勞工有不足耳才能申請引進移工既有法定國內求採程序及新制的基準不會因為新增來源國而改變也不影響國人就業機會及勞動條件本部多年來持續透過外交管道探尋及洽商新移工來源的可能但都沒有辦法順利建立合作關係今年臺印度已經在多項領域開展交流 |
transcript.whisperx[16].start |
2160.028 |
transcript.whisperx[16].end |
2183.326 |
transcript.whisperx[16].text |
並自109年起陸續洽商勞工的合作意願在互惠互利的基礎下逐步促成合作共識印度人口超過14億人有人口紅利並鼓勵勞工赴海外工作我國勞動力結構改變有引進的需求雙方均有高度的合作意願應積極掌握契機簽署MOU警示 |
transcript.whisperx[17].start |
2183.905 |
transcript.whisperx[17].end |
2206.295 |
transcript.whisperx[17].text |
合作框架協議後續會透過工作層級的會議進一步來協商合作的細節簽署以後不會立即引進更沒有網路謠傳引進10萬名印度移工的規劃在簽署的程序上依印度方的提議雙方合作已有視訊簽署MOU的先例臺印度雙方代表已經在113年2月16日採視訊的方式簽署 |
transcript.whisperx[18].start |
2210.792 |
transcript.whisperx[18].end |
2238.293 |
transcript.whisperx[18].text |
勞工合作MOU.外交部2月26日通知本部.雙方已經完成範文簽署.本部將依條約地解法.在30天內報請行政院備查以後.送大院來查照及對外周知。.印度赴海外工作達1800萬人.而且持續增加.德國、義大利、法國、中東等國都有引進.以色列近期也規劃擴大引進.日本已經簽署.韓國也正在洽簽 |
transcript.whisperx[19].start |
2239.298 |
transcript.whisperx[19].end |
2267.325 |
transcript.whisperx[19].text |
印度移工多從事建築業、製造業、家事及農業工作符合我國引進的需求德國、義大利及中東長期引進印度勞工皆評價為高品質的勞動力印度將因我方的需求培訓及招募印度移工可確保移工的素質另外,全球比較犯罪指數2024年評比的結果印度優於加拿大、義大利、英國、法國等國又德國、義大利 |
transcript.whisperx[20].start |
2268.223 |
transcript.whisperx[20].end |
2293.136 |
transcript.whisperx[20].text |
以色列日韓爭取印度移工,顯見引進印度移工沒有犯罪治安的疑慮,而且所有移工來臺都需檢據當地行為良好證明,這個可以避免影響社會安定。令我國正式公告引進印度移工以前,會依法認可當地醫院的檢驗能力,並要求印度移工依我國規定進行馬診及身體檢查等健康檢查, |
transcript.whisperx[21].start |
2293.857 |
transcript.whisperx[21].end |
2312.599 |
transcript.whisperx[21].text |
並提供合格的報告,降低境外傳染病,影響我國的防疫。印度約有八成人口信徒教,一成是回教徒,還有基督教等其他宗教。印度憲法已經明文禁止種姓制度歧視行為。種姓制度不適用外國人,來台工作並沒有問題。 |
transcript.whisperx[22].start |
2313.42 |
transcript.whisperx[22].end |
2333.573 |
transcript.whisperx[22].text |
令印度較普遍素食且多樣.而臺灣的素食及各式餐食選擇多元.應有助於印度移工適應臺灣的社會MOU已經明定開放行業跟人數由我方決定.印度將依我方的需求招募及訓練.雙方將透過工作層級的會議來討論執行細節.本部將協同相關部會審慎研議.廣納社會意見.循序漸進務實來辦理.本部也會參考其他國家引進模式.邀請相關部會. |
transcript.whisperx[23].start |
2343.699 |
transcript.whisperx[23].end |
2370.409 |
transcript.whisperx[23].text |
勞僱團體及學者專家等提供諮詢意見省慎來評估我方的需求優先以具備一定學競力英文家的印度勞工為對象初期我們採小規模示範引進如果實施的成效良好再漸進來評估開放印度移工廣受各國信賴並擴大引進新增印度移工來源只是提供雇主多一個選擇可降低移工來源依賴的風險並不是放寬雇主資格 |
transcript.whisperx[24].start |
2370.871 |
transcript.whisperx[24].end |
2389.245 |
transcript.whisperx[24].text |
也沒有新增開放可禁用移工的行業或挑高可禁用移工的比率不會影響本國勞工就業機會社會治安及防疫的安全本部將循序漸進、穩健務實妥善規劃後續的工作並聆聽各界的聲音及意見加強社會溝通以消除疑慮 |
transcript.whisperx[25].start |
2389.833 |
transcript.whisperx[25].end |
2408.598 |
transcript.whisperx[25].text |
省省與印度持續來磋商開放的細節.並把關印度勞工的素質.讓產業及家庭受益.讓社會安心以上報告懇請各位委員先進不吝指教謝謝好謝謝部長的一個報告有關於本次會議各項書面資料均列入紀錄刊登公報 |
transcript.whisperx[26].start |
2409.434 |
transcript.whisperx[26].end |
2433.789 |
transcript.whisperx[26].text |
那我們現在開始詢答做以下的宣告本會委員詢答時間6加2分鐘列席委員4分鐘10點半截止發言登記委員若有書面質詢請於三會前提出預期不受理暫定10點半休息5分鐘原則上11點半處理臨時提案若有提案請儘早提出以利益事進行那接下來我們請登記第一位蘇清泉委員進行質詢 |
transcript.whisperx[27].start |
2443.783 |
transcript.whisperx[27].end |
2467.833 |
transcript.whisperx[27].text |
好,謝謝主席,也謝謝委員跟我互調趕快去東港我請部長好,請許部長不定也當工人我們還是東港高小的傑出校友好,部長,我們現在外籍移工進來臺灣總共75萬多人對,目前有在臺北住的 |
transcript.whisperx[28].start |
2474.144 |
transcript.whisperx[28].end |
2484.546 |
transcript.whisperx[28].text |
去年3.1萬那前年4.1萬那這幾年會比較多是因為因為前幾年那個疫情影響那邊際管制移工進不來整個供需失調所以尤其在111年的時候哇整個人數我們失聯率達到5.96那去年已經降下來4點多 |
transcript.whisperx[29].start |
2501.089 |
transcript.whisperx[29].end |
2520.276 |
transcript.whisperx[29].text |
那你現在要引進印度的移工那你的理想台灣是要需要多少移工才是屋頂是差不多多少報告委員我們其實移工的總數我們其實會有一些評估那目前來講 |
transcript.whisperx[30].start |
2522.506 |
transcript.whisperx[30].end |
2550.503 |
transcript.whisperx[30].text |
移工的引進其實跟失聯那是兩個議題那移工的引進的部分我們只要是看國內的缺工狀態那其實以目前來講整個缺工還是所以隨時調整隨時調整他的上限人數理想人數我們沒有一個上限人數我們現在就是警戒指標我們是用警戒指標來看就是說如果這個可能看警戒指標這個移工的引進有需要緊縮那我們會在 |
transcript.whisperx[31].start |
2552.971 |
transcript.whisperx[31].end |
2569.46 |
transcript.whisperx[31].text |
主委現在年輕人最擔心最擔心最擔心的就是什麼一直進來會不會影響他們的就業第二個會不會影響他們的薪資拉不上來第三個婦女同胞最關心的是治安這個你的看法怎麼樣 |
transcript.whisperx[32].start |
2570.396 |
transcript.whisperx[32].end |
2588.949 |
transcript.whisperx[32].text |
第一個報告委員我們移工的引進是一個補充性原則我們的就業還是以本國人優先所以縱使是開放的行業開放引進移工的行業雇主先必須進行依照我們目前國內的薪資條件去進行招募 |
transcript.whisperx[33].start |
2589.75 |
transcript.whisperx[33].end |
2616.525 |
transcript.whisperx[33].text |
找不到人他才可以進移工所以基本上不會去影響到本國的就業機會那第二個薪資因為其實本外勞是平等待遇原則這個移工進來像製造業他一樣要適用基本工資所以這個不會去拉我在東港看到一個很很shock的這個場景就是我們台灣的年輕人宋夫胖達 |
transcript.whisperx[34].start |
2617.995 |
transcript.whisperx[34].end |
2619.195 |
transcript.whisperx[34].text |
請勞動部長、外交部、內政部、國家安全局就業市場之衝擊。 |
transcript.whisperx[35].start |
2639.241 |
transcript.whisperx[35].end |
2643.009 |
transcript.whisperx[35].text |
委員其實還好,因為他們畢竟在船上可能要上來陸地 |
transcript.whisperx[36].start |
2652.042 |
transcript.whisperx[36].end |
2671.317 |
transcript.whisperx[36].text |
這個去用餐可能不太方便那這個外送其實不管本國人外國人大家都是一個很方便的一個可以用餐的方式不過剛剛委員有講到那個犯罪率的問題我剛才跟委員報告其實在目前已經有引進印度移工 |
transcript.whisperx[37].start |
2672.498 |
transcript.whisperx[37].end |
2686.998 |
transcript.whisperx[37].text |
的這些國家裡面他們的犯罪率是偏低的那縱使以我們現在已經引進的已經有移工我們家四個國家我們有做過移工犯罪率的一個調查了解他其實本比本國人犯罪率大概就是一半 |
transcript.whisperx[38].start |
2689.712 |
transcript.whisperx[38].end |
2698.234 |
transcript.whisperx[38].text |
這個都會講到又會講到說有種族啊什麼這個不能講就像你講說胡適一樣你講到胡適這個是很敏感的問題好我第二個問題要問巴士亮表開放就放寬之後這個是侯友宜選總統的時候他提出來那是我提的啦我是醫療後援會總會長 |
transcript.whisperx[39].start |
2717.268 |
transcript.whisperx[39].end |
2740.521 |
transcript.whisperx[39].text |
開放之後真的是讓很多高齡的比較方便因為我第一線的意思我也沒有在想給很好,這是一個好的政策過去8年都不做,等到人家提出來就馬上做那現在看護,外籍看護移工也包括看護嘛現在看護開放之後,你們的回饋是怎麼樣 |
transcript.whisperx[40].start |
2741.823 |
transcript.whisperx[40].end |
2755.943 |
transcript.whisperx[40].text |
就是讓這些家庭真的最近開放了不少齁讓他們都減輕了不少的負擔部長你剛有說回饋就基層的回饋有沒有 |
transcript.whisperx[41].start |
2758.547 |
transcript.whisperx[41].end |
2778.613 |
transcript.whisperx[41].text |
我們現在不僅用巴士量表,我們有多元認定方式目前採多元認定方式的人到今年2月15日為止大概7700多人,申請上會更方便,包括我們也簡化重聘的程序 |
transcript.whisperx[42].start |
2781.854 |
transcript.whisperx[42].end |
2795.359 |
transcript.whisperx[42].text |
第三個比較敏感的問題這些外勞、外籍移工他們都身強體壯、年輕力壯他們進到臺灣僱主跟他分攤都有繳健保費嘛對不對那他們有使用健保嗎 |
transcript.whisperx[43].start |
2796.55 |
transcript.whisperx[43].end |
2818.147 |
transcript.whisperx[43].text |
那這些外籍移工或者是外籍的配偶來到臺灣他們都有繳健保費然後使用健保我給大家粗算這些人的生病的比例不高啦像移工大部分都是意外所以我們的健保局應該是有結與的有結與喔沒有說結果比較多那同樣的道理 |
transcript.whisperx[44].start |
2826.072 |
transcript.whisperx[44].end |
2850.433 |
transcript.whisperx[44].text |
大陸來的配偶也是年輕力壯也是要繳健保費使用健保所以有說不一樣嗎為什麼要給他搞成說會耗用健保等等我是覺得這是沒有邏輯啦那你健保的費用不夠那是你另外一個issue另外一個題目就是說你的健保不夠你就提高匯率嘛提高健保費等等所以這個 |
transcript.whisperx[45].start |
2851.677 |
transcript.whisperx[45].end |
2879.731 |
transcript.whisperx[45].text |
這個是比較敏感的問題,大家要了解,我這裡跟大家報告再來接續的問題,我們那個漁船從正常管道進來的漁工兩爺啦,這都用檢報嘛,都有檢報還有勞保都有顧主要負擔的比例那有另外一種就是在遠洋漁船上,像東港啊、蘇澳啊、高雄 |
transcript.whisperx[46].start |
2881.418 |
transcript.whisperx[46].end |
2910.054 |
transcript.whisperx[46].text |
這個遠洋漁船上面的遠洋漁工他是不用投保的喔不用投保勞保也不用投保健保喔這個他們只有保意外險而有這個部長你有什麼看法阿他們在船上不能下馬頭因為他是屬於遠洋漁業境外的移工這個跟近海的不一樣近海是歸勞動部阿遠洋這部分是農業部他的主管機關是農業部這個就是一個大漏洞阿 |
transcript.whisperx[47].start |
2911.021 |
transcript.whisperx[47].end |
2928.913 |
transcript.whisperx[47].text |
他們在漁船上不能下船但是都跑下來啦然後他們要吃的便當是我們這邊送那不少啦,一萬多人呢?詳細數目是多少?你不知道嗎?我不曉得,這要問農業部所以我們很多外,逃跑的這些漁工那種會跑出來也很多耶在那邊,在那邊 |
transcript.whisperx[48].start |
2937.438 |
transcript.whisperx[48].end |
2937.819 |
transcript.whisperx[48].text |
請勞動部主席 |
transcript.whisperx[49].start |
2946.772 |
transcript.whisperx[49].end |
2973.548 |
transcript.whisperx[49].text |
那印度進來我們印度的移工進來我們是非常的也贊成但是你剛剛講年輕人的餘力跟婦女的餘力這個希望勞動部要審慎的評估少量的進來然後要注意看他們後續那這些外勞的犯罪率就像部長你講的比較少還是少到多少說是不是有沒有逆暴的等等 |
transcript.whisperx[50].start |
2974.403 |
transcript.whisperx[50].end |
2990.215 |
transcript.whisperx[50].text |
所以這個我們是非常的關注這個問題,希望部長要注意。以上,謝謝。好,謝謝蘇清泉委員的質詢。接下來我們請林月琴委員進行質詢。有請我們的部長還有署長和我們的張文秀組長。 |
transcript.whisperx[51].start |
3012.574 |
transcript.whisperx[51].end |
3027.188 |
transcript.whisperx[51].text |
在2023年因為要引進簽訂MOU就有些民間團體有反彈所以本席瞭解社會的討論大概分幾個面向也就是說MOU簽訂人數代表的意義跟開放移工來源國 |
transcript.whisperx[52].start |
3028.269 |
transcript.whisperx[52].end |
3050.776 |
transcript.whisperx[52].text |
會不會衝擊到本國人的就業和移工是否造成臺灣治安的一些隱憂那請問部長在去年9月之後勞動部到底有沒有持續跟民間團體尤其是對政策有疑慮的團體做說明具體的說明次數跟方式還有你的對象這個我請署長、業務單位 |
transcript.whisperx[53].start |
3052.692 |
transcript.whisperx[53].end |
3079.234 |
transcript.whisperx[53].text |
跟委員報告因為去年因為主要是在國會公共政策平台有幾個民間團體我們其實透過那個聯繫的資訊因為他只有留那個email沒有任何其他資訊我們是透過email希望能夠跟他取得一些資訊的一些一些不過目前為止我們大概發送的他們大概都沒有回訊所以這個我們要再努力希望勞動部這邊要去做處理因為還是要去解除因為 |
transcript.whisperx[54].start |
3079.892 |
transcript.whisperx[54].end |
3080.012 |
transcript.whisperx[54].text |
下一頁 |
transcript.whisperx[55].start |
3104.861 |
transcript.whisperx[55].end |
3126.793 |
transcript.whisperx[55].text |
就是我們要開放引進這個作業程序那我想請問部長這邊這一關一關的那循序漸進部長有沒有輸入的地方請你一一的補充做說明讓你有這個機會來把它講清楚 |
transcript.whisperx[56].start |
3128.125 |
transcript.whisperx[56].end |
3151.48 |
transcript.whisperx[56].text |
對報告委員我們現在就是MOU雙方視訊簽署了然後226我們接到外交部的文現在就是已經換約完畢那接下來呢我們就是依照條約締結法條約締結法12條規定我們要在30天內報行政院備查之後我們會送來大院立法院這邊那也會讓各界周知所以這個部分我們接下來就是 |
transcript.whisperx[57].start |
3152.501 |
transcript.whisperx[57].end |
3161.299 |
transcript.whisperx[57].text |
在這個步驟裡的第10號行政院立法院查照這邊那接下來我們這個整個完成以後那接下來我們就會展開 |
transcript.whisperx[58].start |
3162.37 |
transcript.whisperx[58].end |
3185.411 |
transcript.whisperx[58].text |
雙方的工作層級會議這些主要討論的就是像委員這邊講的行業數額、評估資格等等這些細節那這個部分我們到時候也是會邀請目的事業主管機關像經濟部、衛福部、農業部、內政部他們有這個開放的行業請他們一起來參與然後瞭解說他們的缺工狀況、需求 |
transcript.whisperx[59].start |
3186.532 |
transcript.whisperx[59].end |
3214.61 |
transcript.whisperx[59].text |
需要怎麼樣勞工技術條件等等會在這個工作層級會議來來討論然後這邊大概會多久我目前還不曉得因為可能還要看後續大家的討論是不是順利像日本日本他們去年簽了他們光工作層級會議就開了一年所以我也不曉得我們這邊的狀況或許大家如果順利的話就會很快然後對然後接下來就是 |
transcript.whisperx[60].start |
3217.644 |
transcript.whisperx[60].end |
3236.562 |
transcript.whisperx[60].text |
這個討論以後那我們就會決定開放的行業人數還有招募訓練等等那整個籌備工作都完成以後我們才會正式依法公告說印度是我們新增的移工來源部所以部長這看起來我這邊整理的事實上是沒有缺漏的對沒有缺漏那下一頁 |
transcript.whisperx[61].start |
3239.506 |
transcript.whisperx[61].end |
3264.808 |
transcript.whisperx[61].text |
從去年開始媒體就一直看到說要引進10萬名印度移工這樣的新聞標題之後讓民眾是感到恐慌的所以本席認為應該要及早說明清楚你不論MOU上臺印雙方約定的人數那是一個總量的概念嘛對不對那實際上就是入境的人數還是要看雇主他主案的提出申請 |
transcript.whisperx[62].start |
3266.004 |
transcript.whisperx[62].end |
3291.97 |
transcript.whisperx[62].text |
那政府許可之後才可以引進那政府是否許可還要看我們的外勞的警戒的指標上的一些變化變好放寬許可變壞緊縮許可那可惜這個指標總體的和產業社福這三大項裡邊這個從2022年事辦之後一直沒有讓國人充分瞭解才會有這樣的隱憂戰 |
transcript.whisperx[63].start |
3293.243 |
transcript.whisperx[63].end |
3313.698 |
transcript.whisperx[63].text |
所以包括這指標怎麼去判斷這19項而且如何依據它變化做調整直到現在這個重要的訊息我覺得社會大眾不太瞭解我想相關的人員也不是這麼瞭解所以請問一下這個外籍外勞的警戒指標的資訊非常不透明 |
transcript.whisperx[64].start |
3314.56 |
transcript.whisperx[64].end |
3334.131 |
transcript.whisperx[64].text |
所以想問的是就會讓大家帶風向的人帶風向使得我們的民眾更大的憂慮所以會後兩週內是不是可以公布這個外勞警戒指標完整說明而且特別是指標跟許可寬鬆 |
transcript.whisperx[65].start |
3335.953 |
transcript.whisperx[65].end |
3362.947 |
transcript.whisperx[65].text |
緊縮之間的關係讓社會大眾知情那可以的話你是用什麼方式來讓大家知道好 謝謝委員我們其實像我們都會定期開這個這個政策小組會議那這是勞資政協各方代表那開會完我們其實都會在網站公開我們相關的會議的這些資訊不過委員剛剛有這樣子講我才想說因為大家現在對於這個移工如果說還需要 |
transcript.whisperx[66].start |
3364.468 |
transcript.whisperx[66].end |
3388.046 |
transcript.whisperx[66].text |
警戒指標各方面需要進一步的我覺得我們有這個義務那未來這個臺運臺運會用多元的管道讓大家來知道這個未來這個臺運勞務合作案是不是也是在這個置入裡邊同樣去運作來增加移工來源不改變原有的許可規則這個我們這個警戒指標是在決定比較就是說它人數量 |
transcript.whisperx[67].start |
3390.505 |
transcript.whisperx[67].end |
3390.705 |
transcript.whisperx[67].text |
來 下一頁 |
transcript.whisperx[68].start |
3417.704 |
transcript.whisperx[68].end |
3443.845 |
transcript.whisperx[68].text |
上大家真的很擔心的就是會不會衝擊到我們國人優先就業所以想問傳統對於移工開放行業的標準在低技術性的勞工工作可是隨著國內缺工這個想問的是你現在這個修正法規修正所影響的是移工名額上的增加還是會是針對一樣同樣是低技術性的勞工工作這個原則做放寬 |
transcript.whisperx[69].start |
3446.216 |
transcript.whisperx[69].end |
3469.877 |
transcript.whisperx[69].text |
基本上因為我們其實就是針對蘭嶺的移工蘭嶺的移工才有開放那目前就是像製造業3K產業像這些3K產業它有缺工的話那我們就會經濟部會提案我們再來做就會經過政策小組來評估才會開放才會開放下一位因為有時間 |
transcript.whisperx[70].start |
3473.208 |
transcript.whisperx[70].end |
3488.016 |
transcript.whisperx[70].text |
要秉除我們的偏見歧視現在歧視有兩個一個是犯罪這一塊那對於刑方不明移工若我看數據還是維持在8萬多若剛剛部長報告說你112年有更高 |
transcript.whisperx[71].start |
3491.345 |
transcript.whisperx[71].end |
3519.398 |
transcript.whisperx[71].text |
那在處理因為人數更多所以是不是能夠針對這個也讓大家知道那個犯罪率第一公開比較清楚說明的確看114國人的犯罪率是每萬人114.12那四國過去移工在臺灣事實上是每萬人是59.46可是到底我們國人到底了不了解這種狀況並沒有另外一個就是國人一直對於所謂的過去在 |
transcript.whisperx[72].start |
3520.418 |
transcript.whisperx[72].end |
3520.959 |
transcript.whisperx[72].text |
好 以上謝謝好 謝謝委員 |
transcript.whisperx[73].start |
3548.499 |
transcript.whisperx[73].end |
3554.768 |
transcript.whisperx[73].text |
好 我們謝謝林月琴委員進行的質詢接下來我們請陳昭芝委員進行質詢好 有請部長 |
transcript.whisperx[74].start |
3564.277 |
transcript.whisperx[74].end |
3581.932 |
transcript.whisperx[74].text |
對於開放印度籍移工的這個議題,在選前有引起蠻大的爭議,甚至有公民團體他們舉辦了遊行,那部長您記得您當時做了什麼回應嗎?報告委員,我那時候做了兩個回應,因為那時候是說第一個說我們已經簽署,那我說我們還沒有簽,我們正在 |
transcript.whisperx[75].start |
3584.753 |
transcript.whisperx[75].end |
3607.12 |
transcript.whisperx[75].text |
下簽了齁第二個就是說他說引進10萬名印度移工那我們說絕對沒有要引進10萬名移工的這件事情就現在部長因為當時您是說引進印度移工是假訊息10萬名我說10萬名印度移工這個是假訊息但是在那你能確定確保在台灣有七八十萬移工那現在增加了一個來源國你能確保永遠是 |
transcript.whisperx[76].start |
3608.26 |
transcript.whisperx[76].end |
3635.669 |
transcript.whisperx[76].text |
是不增加、不會增加到10萬名的移工嗎?這個能確保嗎?我覺得是有點在文字上的一個部分否定的做法。不是,報告委員,當下,他當下,就是,這是很重要,因為讓國人,就是這個印象讓國人是非常深刻,因為他就講說我引進10萬名印度移工,那這個部分不是,對,我是針對10萬,如果剛剛委員看一下,我,如果那時候有注意喔,我全部的我們的發言都很清楚, |
transcript.whisperx[77].start |
3636.109 |
transcript.whisperx[77].end |
3640.092 |
transcript.whisperx[77].text |
那我想請教就是說哪些項目或是人數什麼時候會讓我們了解這些內容 |
transcript.whisperx[78].start |
3665.017 |
transcript.whisperx[78].end |
3692.82 |
transcript.whisperx[78].text |
那個報告委員我們的開放的行業跟人數會在後續的還在研議嗎?不是,後續我們要跟更多開工作層級的會議那個就會實體討論我想我們國內自己有備案嘛我想請問防務在不在開放的項目裡目前沒有沒有的話那為什麼這個文國財部長去年10月他說已有初步方案跟勞動部討論屢數月將開放外籍移工沒有沒有 |
transcript.whisperx[79].start |
3694.575 |
transcript.whisperx[79].end |
3708.913 |
transcript.whisperx[79].text |
這個交通部長也這樣子說了這個報告委員我們現在國內的服務但是沒有排除對不對沒有排除這件事那個報告委員這是兩個命題第一個我們服務業目前還不是我們移工的開放的行業 |
transcript.whisperx[80].start |
3710.094 |
transcript.whisperx[80].end |
3727.87 |
transcript.whisperx[80].text |
但是目前國內的旅宿業者有要爭取移工開放但是我們目前還沒有定案還在討論當中我想要請你了解這個飯店從業人員國內失業是非常的嚴重那飯店業者他收費也蠻高的住宿費就是說如果他不用提高待遇那優先聘付本來當然這個會引起從業人員飯店從業人員的 |
transcript.whisperx[81].start |
3730.993 |
transcript.whisperx[81].end |
3754.46 |
transcript.whisperx[81].text |
但是我跟委員報告我現在的印度新增來源國我沒有說因為新增印度我就開放服務這個沒有了解現在你還沒有規劃這個防務的部分沒有沒有沒有好謝謝然後我想跟部長談一個這個移工的執聘制跟這個仲介制這個請問部長鼓勵僱主不需要透過仲介直接聘僱移工是不是勞動部的既有政策既定政策 |
transcript.whisperx[82].start |
3755.2 |
transcript.whisperx[82].end |
3781.463 |
transcript.whisperx[82].text |
是,我們其實就是鼓勵,我們有一個多,有一個職聘的機制在1997年就成立這個,就是職聘這個中心嘛但是就是說,那為什麼職聘的比例,我們現在有的數字是直直落曾經到10%,現在不到1%如果這是職聘是一個我們的既定政策,為什麼這個報告委員,這個比率的降勢,因為以前 |
transcript.whisperx[83].start |
3782.116 |
transcript.whisperx[83].end |
3789.941 |
transcript.whisperx[83].text |
一共三年到期到出國我知道你們是以這個52條修正對修正以後關聯性這麼大嗎?有啊因為他要回去再進來你們認為關聯性就在這個修法的地方嗎? |
transcript.whisperx[84].start |
3799.747 |
transcript.whisperx[84].end |
3826.594 |
transcript.whisperx[84].text |
那就下一張那2018年我知道因為這個關係你們就採測了總共8個採測的7個職聘中心只是因為台北是一個據點但是但是你看2023年去年又說業務這個民眾的變多這個業務的民眾變多又需要更大的空間我想了解到底職聘的部分是需求增加還是在下降需求有增加 |
transcript.whisperx[85].start |
3827.654 |
transcript.whisperx[85].end |
3855.509 |
transcript.whisperx[85].text |
但是因為大家都透過網路申請,實體來申請的比較少,所以才會...大家都透過網路申請嘛,以坑務來說,很多家庭他都是中年以上,中長年使用,他們對於要使用電腦操作,要這個讀卡機...報告委員,他們大部分都委託仲介啦,仲介的話他們就是會...不好意思,現在我可不可以請教在場的這個官員,家裡有聘僱移工的,可以麻煩舉一下手嗎? |
transcript.whisperx[86].start |
3856.906 |
transcript.whisperx[86].end |
3861.626 |
transcript.whisperx[86].text |
都沒有嗎?家裡有沒有聘僱這個移工?都沒有需求,長輩都沒有需求嗎? |
transcript.whisperx[87].start |
3864.434 |
transcript.whisperx[87].end |
3891.443 |
transcript.whisperx[87].text |
真的都沒有嗎我還是要聚焦在這個職聘跟仲介的部分請大家下一張部長您知道職聘的程序有多麼繁複多麼惹民怨嗎至少經過包括80量表也不是看一次病有一次看一次科別就有了他至少有超過這個10個步驟然後去要七處的地方處處入所以事實上這個職聘程序反而事實上 |
transcript.whisperx[88].start |
3891.963 |
transcript.whisperx[88].end |
3906.046 |
transcript.whisperx[88].text |
是變相的如果是既定政策是變相的是反職聘而且是在圖利這個仲介我們看到的是這樣子而且職聘中心目前他的角色他只有收件跟送件你覺得這樣合理嗎 |
transcript.whisperx[89].start |
3909.56 |
transcript.whisperx[89].end |
3930.169 |
transcript.whisperx[89].text |
包委細節的默契署長可以說明那個我們的服務不是只有收件送件沒有是很多人放棄這個有些時候執聘執聘可以選前阿為什麼很多人還放棄呢因為這個就是阻礙執聘的程序繁瑣非常的繁瑣包括我們家也經歷長輩的這個需求要執聘是非常的繁瑣我們會盡量讓程序來簡化會檢討包委你這邊所列的我都會請 |
transcript.whisperx[90].start |
3936.092 |
transcript.whisperx[90].end |
3936.312 |
transcript.whisperx[90].text |
下一張 |
transcript.whisperx[91].start |
3955.683 |
transcript.whisperx[91].end |
3976.476 |
transcript.whisperx[91].text |
移工的職聘目前為止我知道泰國跟菲律賓做得比較順利但是印尼跟越南的成效很差那根據這個職聘中心主任陳昌邦說都是對方的問題印尼政府說是家庭監護公司單獨進入家庭所以需要來管理那越南的說法是勞工本身習慣要付仲介費用來辦理部長你覺得這個說法你同意嗎 |
transcript.whisperx[92].start |
3977.556 |
transcript.whisperx[92].end |
3997.677 |
transcript.whisperx[92].text |
報告委員,韓國是這樣,他們一開始的時候他們就採持聘制度,所以他當初在那邊,對,他們一開始會這樣,但我們那時候不是啦,所以再來就是說您剛剛講的,像印尼來講,印尼他是法律規定,他們的家庭他不能透過職聘,但是印尼跟韓國可以啊? |
transcript.whisperx[93].start |
3999.097 |
transcript.whisperx[93].end |
4022.084 |
transcript.whisperx[93].text |
就是說印尼跟韓國之間他們也是直接聘僱的委員,廠工可以,製造業的廠工可以但家庭看護工印尼是不能用職聘的那是他的法令規定我們也希望能夠用職聘但是移工到韓國去做他們是政府職聘製作當中而且移工還需要接受韓語能力的考試很多的主動權是在政府這一邊 |
transcript.whisperx[94].start |
4023.324 |
transcript.whisperx[94].end |
4043.638 |
transcript.whisperx[94].text |
那這個越南的話他們甚至有勞務協議超過30年那而且也是國跟國這個職聘這樣的方式所以覺得部長覺得這樣職聘的這個參考可不可行我們可以借盡其他國家的經驗我們有多參考而且跟委員報告我們每年的就是說我們雙方的雙邊的會議我們都期待能夠因為是來源國比較消極啦因為你知道移工 |
transcript.whisperx[95].start |
4051.443 |
transcript.whisperx[95].end |
4055.965 |
transcript.whisperx[95].text |
有很多移工團體他倡議這個國對國的這個職聘因為他之前來之前這個要所謂的介紹費人頭費大概5到20萬來臺灣之後這個仲介公司到6萬另外這個所謂的取消滿三年出國的規定之後部長資報裡面有所謂的買工費違法的買工費2到9萬 |
transcript.whisperx[96].start |
4069.97 |
transcript.whisperx[96].end |
4082.34 |
transcript.whisperx[96].text |
就是抓不勝抓那這個勞動部的裁罰金額跟不法收益其實是九牛一毛就算被撤照了還是找其他人再開所以我的意思是說如果能夠減少仲介的層層剝削今天這張時間 |
transcript.whisperx[97].start |
4086.323 |
transcript.whisperx[97].end |
4103.662 |
transcript.whisperx[97].text |
今天就是說這個是新的來源國全新的來源國那我們是不是可以藉此來釋放政府對政府國對國的一個執聘制度因為可以從這裡開始那將政府來當仲介的話移工減少剝削僱主也安心啊因為是政府來做這件事啊 |
transcript.whisperx[98].start |
4104.443 |
transcript.whisperx[98].end |
4120.401 |
transcript.whisperx[98].text |
部長覺得這件事可不可行可不可以去參考報告委員我們現在要準備跟印度來後續的工作成績裡面就會包含這個那我們來做吧韓國都可以做了我覺得做了30年我意思是說因為剛開始談如果我們要採這個制度會比較好談 |
transcript.whisperx[99].start |
4121.34 |
transcript.whisperx[99].end |
4121.72 |
transcript.whisperx[99].text |
接下來我們請陳金輝委員進行質詢 |
transcript.whisperx[100].start |
4149.557 |
transcript.whisperx[100].end |
4155.58 |
transcript.whisperx[100].text |
主席各位官員還有委員同事們大家早安我也想請部長你好好請部長陳委員好我們知道說幫我放一下 |
transcript.whisperx[101].start |
4166.579 |
transcript.whisperx[101].end |
4187.172 |
transcript.whisperx[101].text |
這個MOU是外交部去簽署的那是你來執行嗎但昨天外交部給我們的報告就這樣一頁字非常大相信很遠的地方都看得到這個字不到一頁啦所以我想還是請問部長好了這個MOU我們跟印度簽署我們有一些利益關係嗎利益互換嗎利益互換 |
transcript.whisperx[102].start |
4190.616 |
transcript.whisperx[102].end |
4195.58 |
transcript.whisperx[102].text |
我們可以看到說這兩件事不知道您覺得是否有關聯因為我們2023年在孟買設了一個經濟文化辦事處2024年就簽署了MOU這兩件事有沒有什麼關係 |
transcript.whisperx[103].start |
4214.741 |
transcript.whisperx[103].end |
4232.941 |
transcript.whisperx[103].text |
委員應該是沒關係因為其實我們跟印度之間的勞務合作是比較後面的我記得好像經濟啦包括農業什麼他們都已經在之前他們都有簽署MOU有合作關係我們是勞務的部分是在2020的年底那時候才開始沒關係 |
transcript.whisperx[104].start |
4234.202 |
transcript.whisperx[104].end |
4254.601 |
transcript.whisperx[104].text |
因為之前我們曾經有前例告訴我們國人說只要我們可以進口萊豬、萊牛我們入CPTPP就有優勢結果我們後來也沒有入所以我們很希望說這次的簽署是一個很對等而且很互惠的關係我也想請問部長說請問您認為MOU它是一個協定還是一個 |
transcript.whisperx[105].start |
4260.666 |
transcript.whisperx[105].end |
4263.288 |
transcript.whisperx[105].text |
根據我們的條約締結法民國104年剛剛您所提到的 |
transcript.whisperx[106].start |
4287.355 |
transcript.whisperx[106].end |
4287.776 |
transcript.whisperx[106].text |
條約還是一個協定? |
transcript.whisperx[107].start |
4305.353 |
transcript.whisperx[107].end |
4309.537 |
transcript.whisperx[107].text |
所以如果您覺得內容沒有涉及這麼多國防外交財政經濟等等怎麼今天這麼多人出現在同一個場合 |
transcript.whisperx[108].start |
4323.172 |
transcript.whisperx[108].end |
4338.5 |
transcript.whisperx[108].text |
我們還是很希望其實我們上一次簽的MOU是20年前20年前這邊有一張陳菊簽署的MOU這已經是20年前了所以我們104年為了 |
transcript.whisperx[109].start |
4341.201 |
transcript.whisperx[109].end |
4366.773 |
transcript.whisperx[109].text |
我們跟國際之間有更好的更保障國人的權益有了條約締結法我也很希望勞動部未來我們可以就這些談判的方針啊爭議啊等等的要適度的跟立法院報告向立法院相關委會說明之後送到立法院我們也會嚴加的審視那剛剛已經有很多委員提到了我也想知道說我們現在外籍的失聯移工部長您認為是變多還是變少 |
transcript.whisperx[110].start |
4370.923 |
transcript.whisperx[110].end |
4380.169 |
transcript.whisperx[110].text |
呃在111年的時候是特別人數特別增加特別多吼有剛剛講到疫情對然後隨著我們因為邊境的管制已經 |
transcript.whisperx[111].start |
4381.305 |
transcript.whisperx[111].end |
4381.365 |
transcript.whisperx[111].text |
1111112你說曲緩 |
transcript.whisperx[112].start |
4413.186 |
transcript.whisperx[112].end |
4418.65 |
transcript.whisperx[112].text |
這個數字難以置信欸這是兩個小巨蛋的人數欸兩個大巨蛋的人數欸 |
transcript.whisperx[113].start |
4420.868 |
transcript.whisperx[113].end |
4440.815 |
transcript.whisperx[113].text |
那個報告委員我講的趨緩我是講那個失聯率因為會跟那個進來的人數有關本來是3萬後來是6千所以是趨緩不是報告委員像100你看109、110、111這個都是剛好疫情的時候所以那個人數都是增加尤其到111年你看增加了 |
transcript.whisperx[114].start |
4443.271 |
transcript.whisperx[114].end |
4462.788 |
transcript.whisperx[114].text |
其實我們那一年是增加了4萬億啦要看那個失聯率失聯率就是說總數跟失聯的人數這樣去比會比較比較客觀一點不能單看人數部長您覺得最高比例失聯的是哪一類的移工就是111年最高的就是5.96 |
transcript.whisperx[115].start |
4464.369 |
transcript.whisperx[115].end |
4465.671 |
transcript.whisperx[115].text |
事實上他是上升不是減少嗎對吧他是上升只是趨緩他是上升結論還是上升委員不好意思 |
transcript.whisperx[116].start |
4473.553 |
transcript.whisperx[116].end |
4495.809 |
transcript.whisperx[116].text |
去年才趨緩112才趨緩我是看那個失聯率你看人數當然好像覺得增加但是其實你要看那個112例我們的那個進來的人數是增加的我也分享一下我臨床上實際看到大家知道我過去是長期在醫院執業所以我們會有移工他這些沒有身份的人這好幾萬人 |
transcript.whisperx[117].start |
4497.694 |
transcript.whisperx[117].end |
4498.114 |
transcript.whisperx[117].text |
委員會主席 |
transcript.whisperx[118].start |
4521.805 |
transcript.whisperx[118].end |
4523.066 |
transcript.whisperx[118].text |
這也是我們國家形象很嚴重的一環嘛 |
transcript.whisperx[119].start |
4540.496 |
transcript.whisperx[119].end |
4563.425 |
transcript.whisperx[119].text |
所以報告委員我們也針對要如何來降低這個失聯率我們也在努力所以包括說我們的國安團隊像去年就查獲了兩萬七千人所以你為了改善他們工作環境包括未來我們也會針對比如說因為他們移工大概進來都透過仲介那當地的仲介如果他失聯率高我們會停權 |
transcript.whisperx[120].start |
4564.745 |
transcript.whisperx[120].end |
4581.375 |
transcript.whisperx[120].text |
那未來我們也會加重僱用這10年的移工的僱主還有仲介剛剛有講到說為了改善移工的環境所以執聘中心陳肇智委員也有質詢執聘中心是你們一個很重點的指標對嗎執聘中心可以幫助到什麼 |
transcript.whisperx[121].start |
4583.194 |
transcript.whisperx[121].end |
4592.041 |
transcript.whisperx[121].text |
我這邊有一本112年移工管理及運用調查報告我從108年一直讀到112年部長你有看過這個移工管理及運用調查報告嗎? |
transcript.whisperx[122].start |
4604.351 |
transcript.whisperx[122].end |
4619.476 |
transcript.whisperx[122].text |
剛講到說執聘中心完全沒有落實大家可以看到說我們從108到110年到111年僱主知道執聘中心的比例都沒有進步都沒有增長大家根本不知道這件事 |
transcript.whisperx[123].start |
4621.291 |
transcript.whisperx[123].end |
4639.038 |
transcript.whisperx[123].text |
這個報告委員我們都有在宣導你有在宣導但是好像沒笑但是這個就是因為聽大眾他是不是有看但是我要跟委員說明因為其實我們現在移工的引進雇主他第一個他可以自行招聘他可以透過中介他也可以 |
transcript.whisperx[124].start |
4639.861 |
transcript.whisperx[124].end |
4640.301 |
transcript.whisperx[124].text |
就是透過我們職聘 |
transcript.whisperx[125].start |
4670.782 |
transcript.whisperx[125].end |
4694.74 |
transcript.whisperx[125].text |
這個你自己可以接受這樣子的問卷嗎知道但不清楚有哪些措施我知道我在新聞上有看過蘇丹紅但我不知道蘇丹紅是什麼這樣也把它歸成知道然後突然從50%變成72%結果你扣掉知道但不清楚有哪些措施根本只剩30%雇主知道完全是在下降根本沒有宣導啊所以剛剛有講到說執聘中心 |
transcript.whisperx[126].start |
4696.281 |
transcript.whisperx[126].end |
4717.872 |
transcript.whisperx[126].text |
我們很想宣傳執聘中心結果大家看執聘中心的比例真的有用到執聘中心的比例是2018年1.6%2023年1.7%然後每年我們是4000多萬的預算花在執聘中心欸如果我在裡面上班我可能都覺得很沒有成就感進來這麼多人結果真的利用我的服務的人是1.6% |
transcript.whisperx[127].start |
4720.708 |
transcript.whisperx[127].end |
4734.087 |
transcript.whisperx[127].text |
這個齁 |
transcript.whisperx[128].start |
4734.774 |
transcript.whisperx[128].end |
4758.76 |
transcript.whisperx[128].text |
這個就是讓聘僱移工多一個選擇就僱主多一個選擇這個選擇沒有競爭當然這個會牽涉到就像我剛剛講的比如說能夠透過職聘有些是沒有辦法像印尼的就沒辦法但是我跟你說我們是要努力再來把它讓大家都知道然後願意來使用這個是我們要來做的 |
transcript.whisperx[129].start |
4759.54 |
transcript.whisperx[129].end |
4768.003 |
transcript.whisperx[129].text |
當然已經努力很多年了嘛那最後提一個很簡單的建議啦剛剛陳昭智委員有講到說申辦文件複雜他剛剛夯不啷啷列出十幾項你看認為申辦文件複雜的從110年45%到112年42%改變文件的申辦是一個應該三年內應該做得到的事情這點我們也希望未來我們有一個書面報告來呈現我們應該要怎麼改善這個整個職聘中心不然就乾脆不要成立嘛 |
transcript.whisperx[130].start |
4788.73 |
transcript.whisperx[130].end |
4800.636 |
transcript.whisperx[130].text |
好 謝謝部長 謝謝好 我們謝謝陳金輝委員的一個質詢接下來我們請圖全級委員進行質詢好 謝謝主席 |
transcript.whisperx[131].start |
4818.857 |
transcript.whisperx[131].end |
4821.918 |
transcript.whisperx[131].text |
好 謝謝主席 那請我們部長好 有請部長圖仁好好 部長我請問一下針對我們這個印度移工的這個政策其實一直以來從大家知道以後就一直紛紛擾擾那我們勞動部也針對印度這些說了很多的事情但是我們注意到 |
transcript.whisperx[132].start |
4846.909 |
transcript.whisperx[132].end |
4860.113 |
transcript.whisperx[132].text |
有很多沒有說的有幾個重點像印度他有多達20幾幾種的官方語言而且他現在印度教跟慕林斯這個衝突也是日益升高那而且針對我們國際數據網站statist在2022年他就有 |
transcript.whisperx[133].start |
4865.694 |
transcript.whisperx[133].end |
4889.26 |
transcript.whisperx[133].text |
對印度就有發生過3萬多起的性侵的事件而且重點他也指出這個受害者他常在警局撤銷告訴撤銷的被迫撤銷的比例非常非常的高表示他們這個常常都受到很多社會上壓力、屈服、妥協變成這些受害婦女 |
transcript.whisperx[134].start |
4890.78 |
transcript.whisperx[134].end |
4918.361 |
transcript.whisperx[134].text |
警局以後反而是撤銷他的告訴那而且這個世界銀行性別統計的資料庫也顯示15歲到49歲印度的女性中有6%就遭受過這個性暴力的對待那我請問一下你不斷在我們的大眾對於印度移工我們部長一直有說我們針對這個引進有歧視的心理甚至有這個 |
transcript.whisperx[135].start |
4919.942 |
transcript.whisperx[135].end |
4934.113 |
transcript.whisperx[135].text |
認知作戰那我請問這STATIST還有世界銀行他也在歧視我們印度人嗎他也在做認知作戰嗎難道他的報導跟分析也是對岸的阻撓的行為嗎那請部長說明一下 |
transcript.whisperx[136].start |
4935.193 |
transcript.whisperx[136].end |
4963.047 |
transcript.whisperx[136].text |
報告委員因為你剛剛所講的這些大概就是印度他國內的一個狀況但是我們現在所瞭解的是印度在1800萬在海外的移工的的一個他們工作狀況他其實是OK的包括說他的素質他的工作能力其實他在1800萬戶戶在世界各國他的工作能力是受大家肯定的犯罪率也是比起 |
transcript.whisperx[137].start |
4963.387 |
transcript.whisperx[137].end |
4980.077 |
transcript.whisperx[137].text |
請勞動 |
transcript.whisperx[138].start |
4981.439 |
transcript.whisperx[138].end |
4994.146 |
transcript.whisperx[138].text |
這個沒有犯罪紀錄的一個證明一定要提出所以就是說就是我們所謂的良民證我們要確保他沒有治安的疑慮我請問一下我的重點是說他針對這個國際數據網站等等他所報導的 |
transcript.whisperx[139].start |
4997.788 |
transcript.whisperx[139].end |
5010.885 |
transcript.whisperx[139].text |
難道他們也是在做認知戰嗎我沒有說他做認知戰我剛剛是跟委員說您說的這是他可能他就他國內的一個情形做說明但是我移工要引進我會有一些條件就是說你來第一個 |
transcript.whisperx[140].start |
5012.14 |
transcript.whisperx[140].end |
5033.701 |
transcript.whisperx[140].text |
對治安不能有影響,不能影響我的社會。好,沒關係,所以這些數據你也是承認也是同意的嘛,對不對,針對這些數據。這個如果是國際的數據,當然那評比那個我們必須就是尊重他的一個說明。好,所以重點。但是我是說,我要說明就是說,我們瞭解這些狀況,但是我移工的引進我一定要確保, |
transcript.whisperx[141].start |
5034.621 |
transcript.whisperx[141].end |
5052.267 |
transcript.whisperx[141].text |
我的重點是說所以這些數據跟對岸阻撓其實是沒有關係的嘛這些數據跟對岸認知戰是沒有關係的嘛對不對報告委員我們講的那是說當初去年大概11月的時候說我們要引進10萬名印度移工 |
transcript.whisperx[142].start |
5053.167 |
transcript.whisperx[142].end |
5067.985 |
transcript.whisperx[142].text |
這件事情是假訊息啊好沒關係我現在重點是說我希望我們勞動部在做這些處理事情不要很多事情沒有辦法處理沒有辦法交代都無限上剛推到老共的身上我們針對部長我覺得你們講話也要負責不要說什麼事情都推到說對岸 |
transcript.whisperx[143].start |
5073.412 |
transcript.whisperx[143].end |
5082.482 |
transcript.whisperx[143].text |
公開有阻撓那我請問一下你們說你在在接受採訪的時候說有公開阻撓我想請問一下那他是怎麼阻撓你可以告訴我們嗎 |
transcript.whisperx[144].start |
5086.172 |
transcript.whisperx[144].end |
5114.324 |
transcript.whisperx[144].text |
因為你在網路接受的時候你有講那而且我們發文去詢問的時候其實喔我們櫃部喔真的也說不出個所以然我們有發文去喔因為你說有阻撓然後我們也發文去櫃部他也說不出個所以然所以我說現在是不是勞動部的同仁在打臉我們的勞動部長還是我們的勞動部長公然說謊你可以說明一下嗎其實這些事情很多 |
transcript.whisperx[145].start |
5116.291 |
transcript.whisperx[145].end |
5131.827 |
transcript.whisperx[145].text |
他的主腦有很多方式但是我要講像去年那一年底那件事情所謂認知這是有經過國安單位的一個瞭解之後認為有這麼一回事沒有部長我覺得你講的真的都很不明確 |
transcript.whisperx[146].start |
5135.459 |
transcript.whisperx[146].end |
5161.874 |
transcript.whisperx[146].text |
主腦有它各種方式啦,真的要...好沒關係,所以你講的主腦到現在其實還是說不出一些任何具體的主腦,沒關係那我請問一下,那針對印度移工入境可能負面的影響那當然我們政府有這個責任要做完整的評估來說服大眾那我請問一下,在整個引進的過程中,我們勞動部有做研究評估嗎? |
transcript.whisperx[147].start |
5163.308 |
transcript.whisperx[147].end |
5183.844 |
transcript.whisperx[147].text |
我們有評估過啊我們勞動部自己有做評估嗎?勞動部有做嗎?我們自己內部有評估啊你有評估報告嗎?評估的資訊啦你有評估報告有會議紀錄嗎?那不是會議紀錄啦所以提不出任何評估報告嗎? |
transcript.whisperx[148].start |
5185.224 |
transcript.whisperx[148].end |
5211.018 |
transcript.whisperx[148].text |
我們的資訊的收集之後所以你一說勞動部有做就對了我們有做評估啦那我請問一下那你在網路節目說是外交部在幫勞動部做評估是不是你是不是這樣講協助協助收取資料所以你說外交部是協助我們任何移工來源國當初在開放的時候都是要透過那到底是勞動部做還是外交部做 |
transcript.whisperx[149].start |
5212.096 |
transcript.whisperx[149].end |
5225.024 |
transcript.whisperx[149].text |
都有都有幫忙都有做都有協助勞動部有做外交部也有做就是我們要引進移工的這個心得人有一定要做一些評估啊所以你但是你還是提不出任何證據任何會議記錄說有做評估嗎對不對你們你們 |
transcript.whisperx[150].start |
5229.997 |
transcript.whisperx[150].end |
5245.074 |
transcript.whisperx[150].text |
沒有任何會議紀錄也提不出任何報告只是你自己說有嘛那重點你在網路節目講的時候你是說請外交部喔今天外交部有來我請外交部證實一下我們勞動部是不是有請你們提供資訊來做這個評估外交部有提供資訊 |
transcript.whisperx[151].start |
5252.612 |
transcript.whisperx[151].end |
5269.686 |
transcript.whisperx[151].text |
委員好這個案子主政單位是勞動部我們外交部在這個案子事實上是採取一個協助的立場我們外管就是我們駐印度代表處有協助相關的資訊這些相關的資訊我們應勞動部的要求我們也都有轉給勞動部的單位請問一下你提供給他的資料是機密嗎我們提供的資料這些都是機密 |
transcript.whisperx[152].start |
5281.616 |
transcript.whisperx[152].end |
5283.719 |
transcript.whisperx[152].text |
請問不能提供給立委知情,那勞動部可以對外公開說嗎? |
transcript.whisperx[153].start |
5300.182 |
transcript.whisperx[153].end |
5301.143 |
transcript.whisperx[153].text |
主席不好意思再給我兩分鐘那我請問一下 |
transcript.whisperx[154].start |
5315.62 |
transcript.whisperx[154].end |
5340.316 |
transcript.whisperx[154].text |
因為我們覺得真的很納悶我沒有想到連這個外交引進也都列入機密 講兩點就像黑箱一樣 我不知道為什麼現在我們民進黨政府疫苗也要黑箱軍購也要黑箱 連這個外勞引進都列入機密也要黑箱難道這個到時候也要封存30年嗎報告委員 這個我們都依照這個法律 相關的法規在進行 如同我剛剛講的一句 |
transcript.whisperx[155].start |
5341.577 |
transcript.whisperx[155].end |
5370.737 |
transcript.whisperx[155].text |
文書處理手冊還有國家機密保護法的相關規定反正這些機密文件的話我們沒有辦法直接提供給委員除非大院有做成相關的局面再來進行內部的評估部長我們部長我再請問一下我們勞動部裡面是不是有跨國勞動力政策協商諮詢小組那這個是不是針對擬定外勞政策針對勞資政三方最重要平台由他引進都要由他來做評估對不對 |
transcript.whisperx[156].start |
5371.957 |
transcript.whisperx[156].end |
5382.64 |
transcript.whisperx[156].text |
那我請問一下勞動部針對這部分是哪一個單位在做評估剛剛部長說有做評估是誰在做評估那個剛剛委員報告是因為在MOU在整個掐簽過程當中不是我問你誰在做評估嘛 |
transcript.whisperx[157].start |
5401.206 |
transcript.whisperx[157].end |
5413.336 |
transcript.whisperx[157].text |
我們現在是行政的內部要透過相關的資訊的蒐集之後所以你說跨國勞動力政策協商小組是不是在做這個工作的?沒有那這個單位還有功能嗎?有 |
transcript.whisperx[158].start |
5415.06 |
transcript.whisperx[158].end |
5434.043 |
transcript.whisperx[158].text |
還有功能那我說實在我請問一下部長你們說有討論可是你真的提不出一些具體的而且到底有哪個單位在做而且這個跨國勞動力政策協商小組你還好你說他沒有做三年六次的會議針對這印度移工的問題 |
transcript.whisperx[159].start |
5435.304 |
transcript.whisperx[159].end |
5457.322 |
transcript.whisperx[159].text |
資質未提從頭到尾都沒有討論過所以我希望我們這個我們這個勞動部在這之前希望一定要說服大眾要做一個完整的評估然後針對我們這些問題你像之前你自己在講你在網路節目講外交部正在幫勞動部停工你自己去看你在 |
transcript.whisperx[160].start |
5458.142 |
transcript.whisperx[160].end |
5483.153 |
transcript.whisperx[160].text |
網路政論節目講的然後你說這些印勞都來自東北的省份生活習慣跟我們相近而且多數是基督徒我真的很想知道你這些訊息到底是哪裡來的你真的有需要說清楚講明白難怪我們民間常常謠言說說這個外勞的引進是綠營金主想要做這個外勞的生意而且我不希望把我們這些民間的質疑 |
transcript.whisperx[161].start |
5485.054 |
transcript.whisperx[161].end |
5499.02 |
transcript.whisperx[161].text |
都無限上綱都推到對岸的認知戰阿共的陰謀你沒有辦法交代的事情就是阿共的陰謀對岸的認知戰所以我今天等一下會有再臨時提案針對我們今天這個印度移工外勞引進我們針對希望我們縣市政府一定要舉辦說明會還有盤整我們現有的同意功能還有針對我們現有社會影響評估勞動市場評估還有政策可行性評估你們一定要提出做一個完整的報告 |
transcript.whisperx[162].start |
5514.767 |
transcript.whisperx[162].end |
5541.841 |
transcript.whisperx[162].text |
到時候也要請我們勞資政學還有仲介代表來召開這個公聽會那還有針對我們現在逃逸外勞的現象你們一直沒有提出一個完善的改善的方式我們希望你能夠提出一個階段性的完善改善方式我們再來提這個印度移工的問題不然這個問題你再引進絕對造成我們台灣社會民眾恆大的疑慮在這邊希望我們部長勞動部能夠幫忙謝謝 |
transcript.whisperx[163].start |
5544.943 |
transcript.whisperx[163].end |
5548.926 |
transcript.whisperx[163].text |
好,我們謝謝圖權級委員進行的質詢。接下來我們請邱政軍委員進行質詢。好,我們一樣有請我們的許部長。好,有請部長。 |
transcript.whisperx[164].start |
5576.675 |
transcript.whisperx[164].end |
5587.605 |
transcript.whisperx[164].text |
剛剛我們圖委員的議題就是我們在簽印度移工的MOU之前我們剛剛說到有做完整的評估報告嗎? |
transcript.whisperx[165].start |
5596.662 |
transcript.whisperx[165].end |
5617.2 |
transcript.whisperx[165].text |
我剛剛聽到外交部說這個是機密我覺得很奇怪我再請問一下根據過去的經驗我們開放蒙古移工的時候勞動部都有完整的評估作業也有公開的報告為什麼印度的不用? |
transcript.whisperx[166].start |
5619.235 |
transcript.whisperx[166].end |
5639.837 |
transcript.whisperx[166].text |
那個應該是已經完成以後才...完成以後我們會對外整個...對,因為現在是...那個是之前嗎?以前蒙古的時候是...是之後才報嗎?看到了可能是已經整個完成,完成之後那會有一個對外的...還是因為我們這個新南向政策,所以就可以開後門? |
transcript.whisperx[167].start |
5640.811 |
transcript.whisperx[167].end |
5641.391 |
transcript.whisperx[167].text |
請外交部許副司長 |
transcript.whisperx[168].start |
5664.4 |
transcript.whisperx[168].end |
5692.899 |
transcript.whisperx[168].text |
您剛剛說這個報告是機密不能公開那我再問你是不是有特殊的這個外交任務也沒有特殊的外交任務一般來講因為我們外交部使用是電報格式那這些公文的話如果說只要掛上密的話我們公務人員必須要依照相關法規來辦理我認為就是開放外籍勞工已經是行之有年的一個政策過去勞動部會進行這個完整的評估作業 |
transcript.whisperx[169].start |
5693.86 |
transcript.whisperx[169].end |
5717.327 |
transcript.whisperx[169].text |
然後公開那這一次我們大搞神秘反而引起這個外界的各種猜測造成政策的這個阻力我們我想我們應該要檢討改進如果說你們的我這樣講如果說你們交給勞動部是機密那我希望勞動部這邊是不是也可以公開盡早來公開來給我們國人一個交代完整的一個說明我是覺得 |
transcript.whisperx[170].start |
5718.307 |
transcript.whisperx[170].end |
5747.339 |
transcript.whisperx[170].text |
這個都沒有我覺得政策盡量能夠公開透明可以公開的我們一定會公開啦因為有些當初是他們因為收集的資訊按照他們的內參的他們有他們的規範我們尊重但是要提供過來的東西我們會自己看了之後那什麼時候可以公佈?我們一方告委我們後續喔我是覺得應該你是要送那個將MOU送行政院之前公佈還是之後再來公佈?被查後 |
transcript.whisperx[171].start |
5748.499 |
transcript.whisperx[171].end |
5770.623 |
transcript.whisperx[171].text |
所以被查後才公佈?那我們委員都沒有辦法去了解這個真正的狀況?被查以後我們就會送立法院啊,送立法院查照啊。好,那你盡快啦。那目前我們大家知道的,我們印度開放移工的行業跟人數由台灣決定,由印度那邊來訓練是嗎?對。還有其他內容嗎?你說那個MOU啊? |
transcript.whisperx[172].start |
5777.339 |
transcript.whisperx[172].end |
5803.024 |
transcript.whisperx[172].text |
對,就是我們的開放的行業跟人數行業跟人數是我們這邊決定的那開放程序呢?行業數額?現在還沒有,還沒有語言能力、專長、資格等等這個後續都會談就是我們MOU完成這個手續之後我們接下來就是要開工作層級會議然後就是包括您剛委員講的行業、人數、語言條件等等 |
transcript.whisperx[173].start |
5804.224 |
transcript.whisperx[173].end |
5832.46 |
transcript.whisperx[173].text |
那個我們就會在工作成績會議裡面去做討論好瞭解那您盡快我希望我們部長這邊盡快到時候給我們盡快讓我們知道訊息好不好那當然剛剛還有提到一個就我們移工造成治安的問題我們當然不是歧視只是說當然我們也要保護我們國人的一個治安的國家的治安那當然但是我想部長對這個部分有什麼看法報告委員我們 |
transcript.whisperx[174].start |
5833.82 |
transcript.whisperx[174].end |
5859.368 |
transcript.whisperx[174].text |
印度移工未來要進來跟其他現在已經開放移工一樣他的國家必須出具沒有犯罪的這個證明也就是我們這邊的陽明證就是說他必須是素質好的沒有犯罪紀錄的移工這樣子啦因為現在大家都滿關心這個議題我希望部長我建議是不是我們制定一個公開還有公布篩選的一個機制還有限制讓國人消除這個疑慮可以嗎 |
transcript.whisperx[175].start |
5861.165 |
transcript.whisperx[175].end |
5882.507 |
transcript.whisperx[175].text |
這個工作會議我們來會設定那個資格條件我們會在工作層級會議跟印方這邊來做協商好那我們剛剛也有提到就是這個非法黑工的問題那我們在這個112年7月27號看到的這個新聞稿探討我們的八萬兩千 |
transcript.whisperx[176].start |
5884.701 |
transcript.whisperx[176].end |
5884.981 |
transcript.whisperx[176].text |
為什麼越來越多勒? |
transcript.whisperx[177].start |
5909.498 |
transcript.whisperx[177].end |
5930.639 |
transcript.whisperx[177].text |
跟委員報告 監察院因為他針對這個失聯有做了一些 比如說他裡面特別提到包含因為移工他現在因為有一些受到一些經濟誘因所以這個部分像我們在前年我們就調整家事移工的薪資那另外就是說針對一些非法的包含媒介跟僱主可能現行罰則太輕造成有這樣的一個非法的動機 |
transcript.whisperx[178].start |
5931.34 |
transcript.whisperx[178].end |
5954.037 |
transcript.whisperx[178].text |
那這個部分我們已經提案到這個選擇救護法的修正案所以當初的這個所有的這個我們其實都有在做一個處理好那我這樣做結論我想我希望你們這個監察院的這個實相改善的建議你們要落實那這次開放這個引進印度移工作業那勞動部評估作業我個人認為這個還不是很完整也沒有公開 |
transcript.whisperx[179].start |
5954.757 |
transcript.whisperx[179].end |
5972.407 |
transcript.whisperx[179].text |
那社會溝通及配套措施好像有點不足,那引發社會的疑慮。那麼當然我們希望勞動部這邊能夠持續改善加強保障本國勞工並減少文化不同造成的一個誤解,好不好?那第二個我再請問一下 |
transcript.whisperx[180].start |
5974.69 |
transcript.whisperx[180].end |
5986.432 |
transcript.whisperx[180].text |
我們蔡總統任內一直沒有推動我們勞保年金的一個改革截至去年年底勞保基金規模只剩下8729億那經過勞保局的精算勞保基金在2028年就會破產2031年整體負債將會超過1.15兆目前政府對於千萬名勞工已產生潛藏的負債已經高達11兆3700億 |
transcript.whisperx[181].start |
6004.136 |
transcript.whisperx[181].end |
6015.223 |
transcript.whisperx[181].text |
那我們2039年起每年支出將會高達1兆元以上那我想我們勞動部對這個有沒有一個具體的一個改革的一個做法 |
transcript.whisperx[182].start |
6016.818 |
transcript.whisperx[182].end |
6045.072 |
transcript.whisperx[182].text |
報告委員基本上這個勞保是政府辦的社會保險政府也一定會付起這個不是可是你現在如果不改革你未來你不可能每年撥一兆那我們現在跟委員報告我們因為目前來講在2020開始我們先撥補是第一步但是因為後續的改革因為牽涉到一千萬的勞工那每個勞工的類型都不同 |
transcript.whisperx[183].start |
6045.692 |
transcript.whisperx[183].end |
6049.195 |
transcript.whisperx[183].text |
目前在持續跟這些各界溝通那包括說收集意見等等那因為這個推動還是有一個一定的社會共識 |
transcript.whisperx[184].start |
6067.567 |
transcript.whisperx[184].end |
6082.478 |
transcript.whisperx[184].text |
這樣子啦,部長,因為這個事情牽扯到就像你講的,非常廣大的一個勞工的權益那我也希望說,如果您在520之後有繼續留任那我希望您要勇敢來推動這個年金的改革,我當然知道困難非常的多 |
transcript.whisperx[185].start |
6083.418 |
transcript.whisperx[185].end |
6107.033 |
transcript.whisperx[185].text |
另外外界我們也期盼提高基金投資的收益到7到10%那我們去年呢是收益是1100億那當然成立以來我們的整體的收益只有4.5%所以這個比例還是蠻低的那當然也希望大家政府一定要謹慎來操作讓這個風險降低投資效益提高那當然剛剛講的這個 |
transcript.whisperx[186].start |
6109.754 |
transcript.whisperx[186].end |
6110.135 |
transcript.whisperx[186].text |
接下來我們請王振旭委員進行質詢 |
transcript.whisperx[187].start |
6143.671 |
transcript.whisperx[187].end |
6155.303 |
transcript.whisperx[187].text |
謝謝主席有請勞動部許部長整席今天的質詢的內容有部分是關於衛福部的業務所以也請衛福部的代表黃偉好 |
transcript.whisperx[188].start |
6166.539 |
transcript.whisperx[188].end |
6181.684 |
transcript.whisperx[188].text |
首先關於本次與印度簽署開放移工的MOU本席有兩個面向的建議對內本席建議我們勞動部必須要積極溝通才能夠凝聚國內的共識對外 |
transcript.whisperx[189].start |
6183.945 |
transcript.whisperx[189].end |
6201.188 |
transcript.whisperx[189].text |
本席也建議我們應該透過這一次的契機來持續推動與印度合作的這個相關的一些內容那我們這邊所提到的官方合作不只勞動部也希望會包括其他的行政機關是 謝謝委員我們會遵照辦理 |
transcript.whisperx[190].start |
6201.889 |
transcript.whisperx[190].end |
6221.021 |
transcript.whisperx[190].text |
好,那我們也知道勞動部應該要持續的針對各方的代表來妥善的溝通來化解疑慮來凝聚共識這個前面好幾位委員也都有提到相關的政策那當然我們也知道不同的立場一定會有不同的看法跟考量 |
transcript.whisperx[191].start |
6221.681 |
transcript.whisperx[191].end |
6250.129 |
transcript.whisperx[191].text |
所以本期建議勞動部應該持續的邀請包括所有的工商團體勞動團體等各方的代表來妥善的溝通讓這個社會的共識可以凝聚的更為完整讓這一項經過政府完整的評估而且是符合我們國際經濟發展的需求的政策能夠順利的執行這是非常期待的部分那我們所期許的各方面的這些推動 |
transcript.whisperx[192].start |
6251.269 |
transcript.whisperx[192].end |
6265.104 |
transcript.whisperx[192].text |
不只是在這個勞工的移入的同時其實醫療領域也是我們很期待的部分我們知道目前基於國際跟區域情勢的變化如果能夠簽署在MOU這類雙邊合作的時候 |
transcript.whisperx[193].start |
6266.745 |
transcript.whisperx[193].end |
6282.632 |
transcript.whisperx[193].text |
能夠有相關的這些帶動的話應該對於臺灣的整理發展會更佔有優勢那請教部長我們這次簽署MOU剛剛提到說沒有其他的利益的問題那我們是不是有連動的去促進其他層面的合作 |
transcript.whisperx[194].start |
6284.889 |
transcript.whisperx[194].end |
6309.274 |
transcript.whisperx[194].text |
其他部位其實他們早就有各項議題的合作我們這邊是屬於勞務所以其實台印之間的合作面向其實是越來越多但是就是各自的部會自己去做一些跟印方這邊做協商討論是是 其實以醫療領域為例因為我們知道印度他們對健康的照護也是非常的激情醫藥的部分我記得醫藥農業 |
transcript.whisperx[195].start |
6311.954 |
transcript.whisperx[195].end |
6338.484 |
transcript.whisperx[195].text |
都已經走在前面了是那在疫情最緊張的時候我們對於這位KK阿加瓦這位前西貿理事長的過世真的是表達對他的敬意因為他為了要率先防疫所以也不幸感染而死亡這部分我們覺得非常惋惜那我們期待說未來 |
transcript.whisperx[196].start |
6339.204 |
transcript.whisperx[196].end |
6356.504 |
transcript.whisperx[196].text |
在做醫療的部分簽署MOU的同時有沒有機會針對醫療的領域也有機會透過這些合作方式持續來執行那當然這個會是我們其他需要再持續努力的目標不知道衛福這邊有沒有其他的一些思維 |
transcript.whisperx[197].start |
6358.284 |
transcript.whisperx[197].end |
6374.578 |
transcript.whisperx[197].text |
目前部裡面這邊其實有關醫療的部分也都持續有這些包括新南向的一些政策那也都在持續在推動中是好謝謝那我們也知道其實移工的實在風險是很高的 |
transcript.whisperx[198].start |
6375.68 |
transcript.whisperx[198].end |
6390.016 |
transcript.whisperx[198].text |
那實現風險會上升的原因基本上就是因為工作類別造成的那我們很謝謝這些移工們到台灣來協助整個台灣的這些各方面的進步那我們也看到其實在 |
transcript.whisperx[199].start |
6391.617 |
transcript.whisperx[199].end |
6414.159 |
transcript.whisperx[199].text |
對於這個移工造成的影響是蠻明顯的從108年到112年這5年來已經有1000件以上的這些不管是失能或者是死亡的給付那請問我們最近對於這些移工造成的失能跟給付的部分我們看到的是案件那有沒有金額上的統計 |
transcript.whisperx[200].start |
6415.816 |
transcript.whisperx[200].end |
6445.479 |
transcript.whisperx[200].text |
金額這個部分我再給委員好不好那個金額部分我請業務單位整理以後再送給委員辦公室那就麻煩部長因為我們知道如果我們能夠有效的去控制管控這個失能或者是死亡幾戶的話那對於不管是對於他們的保護或是對我們整體的經濟在費用的處理也應該會有相關的影響那我們在強化這個職案的部分不知道現在勞動部有加強了哪一部分 |
transcript.whisperx[201].start |
6446.039 |
transcript.whisperx[201].end |
6468.264 |
transcript.whisperx[201].text |
我們其實對移工的這些職安委的宣導跟教育訓練都持續在進行那也會針對說高危險的高風險的一些行業像營造營造這方面我們也都會去列為我們的重點那也會特別加強移工在 |
transcript.whisperx[202].start |
6470.628 |
transcript.whisperx[202].end |
6487.014 |
transcript.whisperx[202].text |
製造、就是這些營造的高風險等行業的一些它的風險管理自己的風險的危害的意識還有應該要配備的相關的這些防護措施等等我們都有計劃在做一些推動 |
transcript.whisperx[203].start |
6487.554 |
transcript.whisperx[203].end |
6510.266 |
transcript.whisperx[203].text |
好 那就馬上部長繼續加強那移工安全的下游的部分就是醫療權益就是我們這些移工的醫療權益那其實目前跨部會的整合既有的醫療權益當然我們期待的就是能夠保障他們在當他身體有違和的時候能夠提供好的一個醫療處置那部長 |
transcript.whisperx[204].start |
6514.048 |
transcript.whisperx[204].end |
6520.035 |
transcript.whisperx[204].text |
有沒有了解新南向健康服務中心相關的資源的配置?那如何能夠有效的來連結這些資源?這個 |
transcript.whisperx[205].start |
6528.854 |
transcript.whisperx[205].end |
6554.199 |
transcript.whisperx[205].text |
包委這個部分我可能還不是那麼清楚我在了解以後是當然是不只是未來的印度籍的移工我們也期待假設現在已經在臺灣的這些移工也都能夠讓他們在就醫的過程裡面得到相關的一些好的連結因為我們至少有40家以上的友善醫院其實有提供這方面的服務模式 |
transcript.whisperx[206].start |
6555.899 |
transcript.whisperx[206].end |
6574.471 |
transcript.whisperx[206].text |
是國內的醫院體系是嗎?是我請業務單位了解以後我覺得這是很好的一個大家可以合作的政策好那就再麻煩勞動部還有跟衛福部這邊有更多相關的這個服務面向的連結 |
transcript.whisperx[207].start |
6576.152 |
transcript.whisperx[207].end |
6604.825 |
transcript.whisperx[207].text |
那我們再看其實除了這個部分以外很多很多的移工在就醫是有一些困境這個困境很有可能就是包括四大項因為他不熟悉我們的醫療體制他可能有語言上的隔閡他有怕擔心會受到歧視那有時候是因為工作的性質不容易請假所以我們也曾經去查過目前每位勞工平均一年 |
transcript.whisperx[208].start |
6606.397 |
transcript.whisperx[208].end |
6607.598 |
transcript.whisperx[208].text |
這次我們希望能夠持續來加強的部分 |
transcript.whisperx[209].start |
6635.11 |
transcript.whisperx[209].end |
6635.995 |
transcript.whisperx[209].text |
好,那我們看這個,所以 |
transcript.whisperx[210].start |
6638.596 |
transcript.whisperx[210].end |
6666.795 |
transcript.whisperx[210].text |
主席OK多兩分鐘那大加一計畫基本上是我們最近透過加一制度希望能夠幫助到臺灣尤其是慢性病的部分在事實上很多高科技、新科技是可以進來如果我們未來移工有這個需要也期待有這樣的計畫能夠協助他們這個可能還是要跨部會的這個結合能夠讓這個落實度會更好那我們再往下看最後的部分其實大家都很關心 |
transcript.whisperx[211].start |
6667.776 |
transcript.whisperx[211].end |
6681.821 |
transcript.whisperx[211].text |
很關心這些失聯移工人數也多了那他們的就醫造成的袋帳怎麼辦那醫院長期來墊付就變成每一家醫院的負擔尤其很多都是屬於地區醫院 |
transcript.whisperx[212].start |
6682.921 |
transcript.whisperx[212].end |
6706.372 |
transcript.whisperx[212].text |
那地區醫院它本身可能這樣的風險就已經比較高那如果是在地區醫院是私人醫院處理好以後或者是處理他們覺得無法承擔就把它轉到公立醫院那就變成公立醫院另外一項負擔所以這部分不知道未來如何能夠來協助加強因為我們知道目前是有海外工作基金等等的部分那 |
transcript.whisperx[213].start |
6707.152 |
transcript.whisperx[213].end |
6726.381 |
transcript.whisperx[213].text |
針對於如何能夠解決這些失聯移工醫療費用的代帳請問我們目前是不是有任何移工已經有成立的基金那如果跟印度簽署MOU這個議題能不能夠也把他納為在簽署MOU當中的一項 |
transcript.whisperx[214].start |
6728.24 |
transcript.whisperx[214].end |
6745.718 |
transcript.whisperx[214].text |
謝謝委員:我們會來納入討論的項目之一那這個海外工作基金到目前為止因為來源國都比較消極不願意配合不過未來我們會就是外國的連帶仲介的連帶保證責任這部分我們會來規劃 |
transcript.whisperx[215].start |
6748.479 |
transcript.whisperx[215].end |
6764.594 |
transcript.whisperx[215].text |
好,我覺得用這個可能會更能夠有效的去解決這個問題好,我們希望能夠盡快的成立齁那最後我們可以看到的就是目前齁,這些店鋪的部分我們看到就業安定基金指含瓜的 |
transcript.whisperx[216].start |
6766.194 |
transcript.whisperx[216].end |
6784.339 |
transcript.whisperx[216].text |
暫時會、旅費所以我們很期待就業服務法如果能夠把這個醫藥費也能夠納為他要墊付的這個項目的話那至少至少在這個醫療院所協助這些移工做醫療照顧的時候的費用是不應該被排除的齁 |
transcript.whisperx[217].start |
6786.179 |
transcript.whisperx[217].end |
6803.164 |
transcript.whisperx[217].text |
這個部分其實我們在行政院有討論過大家是認為這是不符合救安基金的使用目的因為這個還是屬於個人債務所以我們其實就是剛剛講的在跟萊恩國這邊再做一些溝通協商另外就是用這個科與仲介連帶保證的機制來讓這個問題 |
transcript.whisperx[218].start |
6807.587 |
transcript.whisperx[218].end |
6830.528 |
transcript.whisperx[218].text |
看能不能有效的解決好,那就麻煩看如何能夠協助我們醫院來解決這個待帳的問題再麻煩相關部會繼續幫忙,謝謝好,謝謝王振旭委員的質詢等一下廖偉祥委員質詢結束後休息5分鐘那我們現在請廖偉祥委員進行質詢 |
transcript.whisperx[219].start |
6839.522 |
transcript.whisperx[219].end |
6842.383 |
transcript.whisperx[219].text |
主席好 有請部長好 請部長廖元豪許部長你好不好意思稍等我一下好不好我們等這個PowerPoint把它弄出來好 OK好 我想要請教我們的許部長你知不知道你是現在就任至今已經2200天了是我們這個史上任期最長的部長 |
transcript.whisperx[220].start |
6869.301 |
transcript.whisperx[220].end |
6882.954 |
transcript.whisperx[220].text |
恭喜你所以我想要請問你回顧這2000多天的日子你覺得在你的任內勞動部最急切還需要加把勁的業務有哪一些你可不可以給我舉例三項我想 |
transcript.whisperx[221].start |
6888.666 |
transcript.whisperx[221].end |
6906.38 |
transcript.whisperx[221].text |
譬如說勞保年金的這些問題財務問題的解決我想這是大家所關注的那第二個就是像目前這個大家對移工失聯的問題希望能夠有效的能夠解決我覺得這也是重大的議題之一 |
transcript.whisperx[222].start |
6907.641 |
transcript.whisperx[222].end |
6930.077 |
transcript.whisperx[222].text |
第三個我想在薪資方面能夠持續來提升那我覺得這個部分勞動部因為有這個針對我們邊境弱勢勞工我們有這個最低工資法也通過了那相信未來透過這樣新的法律的一個機制然後能夠讓邊境勞工的照顧更周全是謝謝部長那我想要請問你會不會繼續督軍在520之後繼續負起責任來往前推動 |
transcript.whisperx[223].start |
6935.412 |
transcript.whisperx[223].end |
6945.512 |
transcript.whisperx[223].text |
報告委員我齁目前就是把我目前的工作做好希望在520之後能夠順利交給新任的部長所以你就有覺得不想要再續任了 |
transcript.whisperx[224].start |
6947.009 |
transcript.whisperx[224].end |
6965.721 |
transcript.whisperx[224].text |
我覺得應該可以讓更多長才來發揮更多長才來發揮那如果部長沒有要繼續擔任部長的話我們祝福你希望你可以轉職成功那也希望在你任內你很成功的就是推動你的這個中高齡就業服務的機制你會不會使用這個機制去找你新的工作 |
transcript.whisperx[225].start |
6968.169 |
transcript.whisperx[225].end |
6996.199 |
transcript.whisperx[225].text |
我覺得這個也是一個很好的不過我本身有專業還好啦所以你比較特別那請問所以你本身有專業還好那請問你會因為也有在外傳喔這個其實如果要跨業喔我如果不想回到我專業跨業我會來來善用這個你會來善用這個對不對那你會除了不要用中高齡我覺得我是壯士代很好我也喜歡壯士代喔那請問我們這個壯士代的部長喔你會考慮投入選舉嗎 |
transcript.whisperx[226].start |
6998.287 |
transcript.whisperx[226].end |
7008.274 |
transcript.whisperx[226].text |
目前沒有這個規劃沒有這個規劃我剛剛委員我把我現在的工作做好我印象就是這樣好因為有傳聞是這樣那沒關係我們今天趕快進入到正題下一頁 |
transcript.whisperx[227].start |
7010.928 |
transcript.whisperx[227].end |
7033.877 |
transcript.whisperx[227].text |
有關於11月16號的時候你們勞動部有貼文上一年的時候你們說假訊息那件事情之外有一句話很特別叫做勞動部深知目前社會對於印度開放移工來源還是有疑慮所以你們說那個時候尚未簽署也在草擬之中可是過了短短大概三個月的時間你們就簽署了請問部長你覺得有解決這個疑慮嗎 |
transcript.whisperx[228].start |
7035.926 |
transcript.whisperx[228].end |
7063.116 |
transcript.whisperx[228].text |
報告委員,其實疑慮的部分我們還是會持...所以請問你覺得有解決疑慮嗎?有一些有理解,可能有一些部分大家還需要我們再多溝通所以還沒有解決,對不對?我不敢說...因為問題一定會...你也有辦法說一定會持續啦有些人理解,有些人不理解那我們就是說不理解的部分我們還是要持續努力那為什麼部長排...你們自己也知道還有不理解的部分要這麼急著簽MOU呢? |
transcript.whisperx[229].start |
7064.717 |
transcript.whisperx[229].end |
7087.633 |
transcript.whisperx[229].text |
報告委員我們的MOU他是一個架構就是雙方就這個勞務合作一個意向的一個簽署那後面那個實質的是部長我知道剛剛前面有幾位委員也提過那請問你們在做這件事情之前有沒有什麼評估的報告和方案或是評估相關的這個作業流程報告 |
transcript.whisperx[230].start |
7093.067 |
transcript.whisperx[230].end |
7120.05 |
transcript.whisperx[230].text |
報告委員我們業務單位在齁沒有有他們有做一些資訊的蒐集包括評估都有有做資訊的蒐集那你們有做一個報告嗎報告你們跟委員報告這一次我們跟印度在洽商大概主要的評估資訊是從向外交部還有包含印度台北市是好這些相關字我們把它做我要打斷您喔抱歉我想要打斷您的是說其實你們有你不知道喔部長 |
transcript.whisperx[231].start |
7121.075 |
transcript.whisperx[231].end |
7149.694 |
transcript.whisperx[231].text |
我上網查了一下你們官方的報告裡面有一個106年外勞來源國輸出政策走向及我國因應對策的官方評估對不對有嗎對不對所以你們剛剛是忘記了這件事不是忘記我本來以為以為我本來以為是說所以這是你們的因為我們那好沒關係我直接跳我請問因為你們這段時間新的報告等於沒做嘛最新的一份是這個嘛我網路上查到你們官方有的報告是這份那請問這是決策唯一的決策依據嗎 |
transcript.whisperx[232].start |
7151.738 |
transcript.whisperx[232].end |
7155.895 |
transcript.whisperx[232].text |
不是是依據之一好那我們下一頁 |
transcript.whisperx[233].start |
7157.646 |
transcript.whisperx[233].end |
7182.472 |
transcript.whisperx[233].text |
裡面有講到,包含你3月4號的新聞有說到印度是一個我們可以用的來源國因為依照目前的政經局勢還有可能印度受到中國大陸的干預比較少然後低於貧窮線的人口數也眾多加上跟菲律賓相同多數人可以用英語溝通而且數理能力程度加所以可以來做考慮的對象請問您是不是認同? |
transcript.whisperx[234].start |
7184.369 |
transcript.whisperx[234].end |
7206.04 |
transcript.whisperx[234].text |
認同這個報告的這部分?認同嗎?認同對不對?部長請回答認同好但是同一份報告裡面也有專家說也有專家反饋他們認為印度比較不推薦因為他們的家族性常會使一次一大群人一起來而且語言跟文化差異性也較高請問部長你認同嗎?認同不認同? |
transcript.whisperx[235].start |
7210.141 |
transcript.whisperx[235].end |
7221.758 |
transcript.whisperx[235].text |
這個就是他們的一個比較的意見嘛他們就是所以你認同這個概念嗎?你認同還是不認同?我是覺得這是專家的報告齁我們尊重啊好我們下一個 |
transcript.whisperx[236].start |
7222.984 |
transcript.whisperx[236].end |
7236.09 |
transcript.whisperx[236].text |
好那這裡也有講到這個印度跟臺灣的關係不錯印度的種族很多可能要考慮哪一個種族適合臺灣我想要請問這個部長您覺得是你們有評估過哪一個種族適合臺灣嗎沒有評估有還是沒有評估有評估嗎沒有評估沒有評估對是這個我們其實目前並不是以種族來考慮是來合作其實主要是對於未來他的條件 |
transcript.whisperx[237].start |
7252.618 |
transcript.whisperx[237].end |
7256.662 |
transcript.whisperx[237].text |
建議鎖定印度某些區域引進,如東北方的阿薩姆或周遭的六個省,信仰基督教且英文留理。請問你認同還是不認同? |
transcript.whisperx[238].start |
7278.749 |
transcript.whisperx[238].end |
7300.528 |
transcript.whisperx[238].text |
副長,你認同?所以你部分有認同,部分不認同這個決議?我就尊重他這個報告,不能說任何人都尊重但是尊重也有認同和不認同嗎?因為我記得你也有提說,你們會優先從那三個部分來引進,對嗎?優先考量這個就是說,當初是說,未來我們會你有優先考量嘛,對不對?優先考量啦,當然就是有這個 |
transcript.whisperx[239].start |
7301.53 |
transcript.whisperx[239].end |
7324.216 |
transcript.whisperx[239].text |
好,所以其實你們有這個評估報告可是你們不太確定可是你也是部分的採用那再來對,再來就是這個裡面也有提到印度斯里蘭卡進入到家庭內勞工比較困難在語言溝通上有困難那還有同時應該要教育國人與回教徒及印度教徒的相處方式請問你們有相關的配套或是你們有相關的要執行的方向嗎 |
transcript.whisperx[240].start |
7326.647 |
transcript.whisperx[240].end |
7327.167 |
transcript.whisperx[240].text |
主席再給我2分鐘謝謝好沒關係下一頁 |
transcript.whisperx[241].start |
7343.584 |
transcript.whisperx[241].end |
7362.79 |
transcript.whisperx[241].text |
所以我上面只想要解決要告訴部長的事其實你們也知道社會的疑慮並沒有解除並沒有解除所以你們應該要再努力的這應該是你們要努力的方向因為現在我們在民間有接收到非常多的民眾對於這件事情的確有疑慮我在反映我們民意代表反映疑慮告訴你而且也要提醒部長 |
transcript.whisperx[242].start |
7363.83 |
transcript.whisperx[242].end |
7378.764 |
transcript.whisperx[242].text |
剛剛你們所有的報告裡面包含種族包含區域等等的其實我要提醒部長要小心不要變成人權笑話因為您昨天也才在印度移工說膚色相近的部分遭到藍綠都共同譴責所以要請部長小心好不好下一頁 |
transcript.whisperx[243].start |
7379.665 |
transcript.whisperx[243].end |
7399.324 |
transcript.whisperx[243].text |
那我們想要討論的事情是為什麼要移工喔常常講的就是缺工要如何解嘛可是我們政府往往一併就一律在思考的都是治標的問題就是只是開放移工好像就可以解決缺工可是治本也沒有做好所以下一頁我們現在遇到很大的問題是我們逃逸的移工數量暴增喔 |
transcript.whisperx[244].start |
7400.455 |
transcript.whisperx[244].end |
7400.715 |
transcript.whisperx[244].text |
您聽我說齁 其實在 |
transcript.whisperx[245].start |
7425.136 |
transcript.whisperx[245].end |
7452.562 |
transcript.whisperx[245].text |
最近的元素為什麼還暴增主要是3年的疫情我知道你的報告裡面有寫但是我跟委員但是我想要抱歉抱歉部長我們百醫社有比111我知道我都有看到數據我有認真讀你的東西但是你剛剛自己也有講到你有3件很重要的事情要繼續努力的嘛其中一項就是這個嘛所以我要提出來告訴你其實你並沒有做好你要再繼續努力好不好下一頁勞動部會繼續努力對那但是你缺工也沒有解決嘛所以你移工跟缺工 |
transcript.whisperx[246].start |
7453.542 |
transcript.whisperx[246].end |
7453.582 |
transcript.whisperx[246].text |
下頁下頁 |
transcript.whisperx[247].start |
7484.823 |
transcript.whisperx[247].end |
7508.512 |
transcript.whisperx[247].text |
因為非法的黑工他收入更優惑所以他就會逃跑包含很多建築工是不是他有他量能不足他還是偷用了這個失聯義工結果失聯義工一天的薪水都比合法義工還要高最後都被洗去當失聯義工對不對這是事實吧這是地氣這個是很接地氣的部分甚至很多農業的部分你們也不敢真的去抓對不對下一頁 |
transcript.whisperx[248].start |
7511.107 |
transcript.whisperx[248].end |
7532.478 |
transcript.whisperx[248].text |
譬如說有一些農業的需求因為沒有年輕人所以他必須用移工然後他的淡旺季分配不明顯所以導致很多人就是臨時去當了移工他們也願意雇用移工然後當你們要去稽查的時候還會特別通知在地的里長說要來稽查囉大家當天不要出現這都是在地方上和農業上真正發生的事情你有沒有意識到這樣的狀況部長 |
transcript.whisperx[249].start |
7534.859 |
transcript.whisperx[249].end |
7551.467 |
transcript.whisperx[249].text |
所以剛剛委員講的很對啦就是說其實很多是經濟因素所以像我們的那個家庭看護工我們也在把他薪資從一萬七調到兩萬所以我們未來也會針對非法僱用非法仲介這邊我們加重他的罰則 |
transcript.whisperx[250].start |
7552.427 |
transcript.whisperx[250].end |
7552.587 |
transcript.whisperx[250].text |
委員會主席 |
transcript.whisperx[251].start |
7569.978 |
transcript.whisperx[251].end |
7572.961 |
transcript.whisperx[251].text |
希望部長如果您在520之前希望你可以再大破大利的把該做的事情做好解決這個產業結構性的問題可以嗎好謝謝部長 |
transcript.whisperx[252].start |
7600.183 |
transcript.whisperx[252].end |
7602.256 |
transcript.whisperx[252].text |
好,謝謝兩位想委員的質詢,我們現在休息5分鐘 |
transcript.whisperx[253].start |
7913.834 |
transcript.whisperx[253].end |
7919.04 |
transcript.whisperx[253].text |
好 我們現在開始開會那接下來我們請黃秀芳委員進行質詢謝謝主席 我們請部長好 有請部長 |
transcript.whisperx[254].start |
7933.82 |
transcript.whisperx[254].end |
7960.887 |
transcript.whisperx[254].text |
部長好,其實我在好幾次之前都一直在關心我們這個有關逃逸移工的事情那尤其是在這疫情這兩三年當中這個逃逸的移工更嚴重那我相信部長還有勞動部這邊也有心要去解決這樣的一個問題那當然這個缺工的問題或者是說這個移工的這個來源 |
transcript.whisperx[255].start |
7962.687 |
transcript.whisperx[255].end |
7980.624 |
transcript.whisperx[255].text |
來源國其實我們也是要多元要不然真的哪一個國家萬一移工不再進來的話其實對我們的產業或者是有關社福的狀況可能會產生很大的問題所以我想請教 |
transcript.whisperx[256].start |
7982.005 |
transcript.whisperx[256].end |
7982.385 |
transcript.whisperx[256].text |
委員會主席 |
transcript.whisperx[257].start |
7999.172 |
transcript.whisperx[257].end |
8004.714 |
transcript.whisperx[257].text |
中研院的博士後研究也有很多的印度籍的研究人員也是在臺灣所以其實我看到就是說 |
transcript.whisperx[258].start |
8020.178 |
transcript.whisperx[258].end |
8048.132 |
transcript.whisperx[258].text |
要另外引進這個印度的移工到臺灣來其實我一個方面就是說讓這個移工的來源國能夠更多元那另外就是說印度籍的這些移工也許他們在中學或者是大學他們所受的教育語言大部分都是用英語那跟臺灣這邊對接的話語言方面其實應該也還可以可能這個隔閡可能比較不會那麼大那我想請教就是說 |
transcript.whisperx[259].start |
8049.132 |
transcript.whisperx[259].end |
8067.222 |
transcript.whisperx[259].text |
外界的疑慮我相信部長知道說外界在去年的時候這個消息釋放出來就是說要引進印度籍的移工之後那外界有一些疑慮那你們有針對這些疑慮跟社會做說明或者是溝通嗎 |
transcript.whisperx[260].start |
8068.101 |
transcript.whisperx[260].end |
8087.695 |
transcript.whisperx[260].text |
報告委員其實在去年有一些這些假訊息出來之後我們都有對外說明包括有一些歧視的問題比如說犯罪率等等那我們都有對外在說明包括說我們也告訴大家其實印度的移工素質是很好的在目前世界各國有 |
transcript.whisperx[261].start |
8088.616 |
transcript.whisperx[261].end |
8111.219 |
transcript.whisperx[261].text |
有用印度移工的其實都很肯定包括我們現在像我們鄰國像日本他開放比較晚可是他現在已經跟印度簽了他真的包括日本、韓國都在積極搶工包括以色列以色列他現在也是一直在積極要跟這個印度來洽簽這個勞務的相關的合作的契約 |
transcript.whisperx[262].start |
8112.2 |
transcript.whisperx[262].end |
8129.369 |
transcript.whisperx[262].text |
這個都是大家對那個印度移工的工作能力素質的肯定所以我們要讓大家瞭解那當然大家有一些疑慮的部分比如說他的犯罪率或其他的可能大家所擔心的部分我們的也有對外說明說其實這個我們要來台灣任何移工現在就是這樣子 |
transcript.whisperx[263].start |
8130.45 |
transcript.whisperx[263].end |
8130.73 |
transcript.whisperx[263].text |
委員會委員會委員會委員會 |
transcript.whisperx[264].start |
8152.261 |
transcript.whisperx[264].end |
8178.83 |
transcript.whisperx[264].text |
關心的問題那在後續的工作層級會議裡面去做一些討論然後也將來應該是就是一些小規模的引進然後大家成效不錯我們再來擴大那所以也不會有說一次要引進幾萬人的這個移工進來嗎就是說看產業的需求對看產業的需求其實我們現在是這樣我特別要接這個說明就是說其實包括我們現在已經開放了四國 |
transcript.whisperx[265].start |
8179.83 |
transcript.whisperx[265].end |
8192.544 |
transcript.whisperx[265].text |
我們其實沒有規定說印尼多少人、越南多少人沒有,我們其實就是讓僱主自由去選擇所以我們現在新增了印度也是讓四個國家多增加一個讓這個僱主 |
transcript.whisperx[266].start |
8194.887 |
transcript.whisperx[266].end |
8208.152 |
transcript.whisperx[266].text |
他自己試他的需求去決定他要引進哪個國家我們不會去要求說你要進哪一國只是讓僱主可以有更多的一個選擇那我想請教就是說其實有很多這個臺商他們也有在印度那邊設廠那其實我另外一個想法就是說如果未來這個我們引進這個印度的移工那在他們到臺灣來這邊工作 |
transcript.whisperx[267].start |
8223.797 |
transcript.whisperx[267].end |
8252.108 |
transcript.whisperx[267].text |
對﹗ |
transcript.whisperx[268].start |
8252.288 |
transcript.whisperx[268].end |
8280.92 |
transcript.whisperx[268].text |
我第一個就是說我們其實後續的諮詢會議我們也會邀請曾經在印度投資或設廠或現在有設廠的台商來做我們的諮詢委員另外剛剛委員講的其實現在比如說像越南我們都台商在那邊設廠他也很希望說我們這邊如果移工回母國能夠過去不過我們也有那個機制去推薦就是說他給這個移工就是說你如果回去以後 |
transcript.whisperx[269].start |
8281.44 |
transcript.whisperx[269].end |
8306.738 |
transcript.whisperx[269].text |
你想要找臺商的公司或公司的工作那我們也會提供資訊給他們所以我覺得說這個一方面也可以讓這個未來就是說印度移工如果要來臺灣的話其實讓他更有意願那讓一方面也是協助我們的臺商我覺得說勞動部可能針對這個部分配套措施可能要再做更完善一點 |
transcript.whisperx[270].start |
8309.179 |
transcript.whisperx[270].end |
8322.607 |
transcript.whisperx[270].text |
配套更周遠的規劃部長我想請教其實我們的高教體系遭受印度學生已經有30多年的時間其實時間真的非常長 |
transcript.whisperx[271].start |
8324.447 |
transcript.whisperx[271].end |
8325.148 |
transcript.whisperx[271].text |
有,其實我們就是 |
transcript.whisperx[272].start |
8350.899 |
transcript.whisperx[272].end |
8376.262 |
transcript.whisperx[272].text |
像一些我們現在的已經進來台灣的移工那有技術的那我們都希望他們能夠留下來所以我們其實在那個跨國就是那個人口的移民政策的小組裡面我們就是在推中階就希望這些優秀的移工留下來然後包括他的進修我們有跟教育部在就是有 |
transcript.whisperx[273].start |
8377.017 |
transcript.whisperx[273].end |
8377.417 |
transcript.whisperx[273].text |
我們到2月底是超過2萬5 |
transcript.whisperx[274].start |
8394.747 |
transcript.whisperx[274].end |
8417.316 |
transcript.whisperx[274].text |
轉換成中階的包括產業移工、社福移工是25000多人每個月大概都有2000人來申請所以我們這個計畫大概就是到2030所以你們自己覺得說這樣的計畫推動的成效好不好成效很好因為像報告委員我們超標我本來是抓到2030一年一萬我去年就兩萬了 |
transcript.whisperx[275].start |
8418.536 |
transcript.whisperx[275].end |
8437.145 |
transcript.whisperx[275].text |
好所以是超標那我們其實對這個部分我們是很有信心的覺得這個部分這是好的一個機制讓優秀移工可以留下來他有好的薪資條件我們也會持續來努力另外就是說其實這個移工的引進那有的國家是由政府直接 |
transcript.whisperx[276].start |
8438.305 |
transcript.whisperx[276].end |
8438.565 |
transcript.whisperx[276].text |
職聘中心 |
transcript.whisperx[277].start |
8454.092 |
transcript.whisperx[277].end |
8474.999 |
transcript.whisperx[277].text |
就是國對國引進的一個機制只是說現在有些國家他比較消極比如說像越南他比較消極還有就是像印尼他那個家庭看護工他就是明文說他不適用他們國家規定說不適用引進的執聘的機制不然如果可以我們都希望能夠 |
transcript.whisperx[278].start |
8475.979 |
transcript.whisperx[278].end |
8490.949 |
transcript.whisperx[278].text |
大家藉由我們這樣的管道來引進尤其像那個叫什麼期約滿了之後的那個期滿轉換其實透過職聘可以幫忙讓他們可以省下一些仲介的費用所以我希望大家能夠來善用 |
transcript.whisperx[279].start |
8491.969 |
transcript.whisperx[279].end |
8508.297 |
transcript.whisperx[279].text |
一方面就是說我們今天在提到這個印度移工引進的這個問題可能社會的疑慮那也希望說勞動部要去適宜那另外一方面就是說我們目前這個流財久用剛剛部長覺得說這個成效還不錯所以我希望 |
transcript.whisperx[280].start |
8511.818 |
transcript.whisperx[280].end |
8532.802 |
transcript.whisperx[280].text |
因為我在上一屆我也希望就是說你們要到這個工業區可能要去做一些說明因為有一些中小企業他們就是有這個需要原本這個移工他的技術最純熟的時候結果他時間到就要回到他母國那到母國之後反而是自己再開一家公司來對打臺灣這家公司所以當然目前的這個狀況來講應該是改善很多 |
transcript.whisperx[281].start |
8535.583 |
transcript.whisperx[281].end |
8547.737 |
transcript.whisperx[281].text |
那個報告委員我們這個部分都有跟廠商聯合總會這邊在合作做宣導我還現在成立一個專案的移工流災總工中心在新竹那大家都可以透過我們這個 |
transcript.whisperx[282].start |
8548.968 |
transcript.whisperx[282].end |
8550.95 |
transcript.whisperx[282].text |
我希望就是說,部長我也知道你很辛苦,我也很願意來解決問題啦,那當然就是說,要這個 |
transcript.whisperx[283].start |
8568.49 |
transcript.whisperx[283].end |
8569.371 |
transcript.whisperx[283].text |
好,我們請王育民委員發言 |
transcript.whisperx[284].start |
8604.912 |
transcript.whisperx[284].end |
8606.414 |
transcript.whisperx[284].text |
謝謝主席,我們有請許部長 |
transcript.whisperx[285].start |
8613.786 |
transcript.whisperx[285].end |
8616.448 |
transcript.whisperx[285].text |
本席告訴你,因為你們在這次的政策當中做了三步。第一個,不透明。 |
transcript.whisperx[286].start |
8635.8 |
transcript.whisperx[286].end |
8658.089 |
transcript.whisperx[286].text |
第二不嚴謹第三不溝通第一個我們現在談不透明的部分光就MOU的簽訂本席早出來之前在討論這個議題的時候你們只會一直說假訊息假訊息迴避了什麼時候要進印度移工這個議題在今年的2月15號 |
transcript.whisperx[287].start |
8663.375 |
transcript.whisperx[287].end |
8684.256 |
transcript.whisperx[287].text |
這個媒體報導說印度移工MOU簽署一言再言然後你們說要找合適的時間簽訂的方式結果就只隔一天隔天馬上發布一個訊息臺灣跟印度用視訊的方式簽署了MOU |
transcript.whisperx[288].start |
8686.175 |
transcript.whisperx[288].end |
8713.611 |
transcript.whisperx[288].text |
部長,你們到底在怕什麼?就是當外界在關注你的進度的時候,你們不敢對外明確說明。我不相信這麼重大的事項,這個外交部的人員請上台,這麼重大的事項,我們要跟印度來簽MOU,可以在2月15號對外說,不太知道時間跟簽訂方式,隔一天立刻馬上視訊簽署。 |
transcript.whisperx[289].start |
8715.872 |
transcript.whisperx[289].end |
8741.137 |
transcript.whisperx[289].text |
這是不是刻意對外說謊到底在怕什麼呢剛剛我聽到所有的詢答部長您理直氣壯覺得我們引進這個印度移工非常有道理正當性非常的充足那你們為什麼遮遮掩掩為什麼迴避立法院的監督為什麼是用這樣子突襲的方式很快的而且還用視訊來完成這樣的MOU我們現在疫情早就解封了 |
transcript.whisperx[290].start |
8742.557 |
transcript.whisperx[290].end |
8756.206 |
transcript.whisperx[290].text |
視訊是因為疫情不得已那這麼重大的事項不能台印雙方好好的面對面還可以合拍一個很好看的照片嗎為什麼是這麼的臨時來請說明這是外交部該說的還是是勞動部該說的我來說明這個有關於簽署的部分因為你們什麼時候決定2月16號要簽署什麼時候 |
transcript.whisperx[291].start |
8772.089 |
transcript.whisperx[291].end |
8793.064 |
transcript.whisperx[291].text |
這個應該老早就要談定喔,你不要告訴我說2月15號下午零時決定。是1月嗎?還是2月?更早就決定了2月16號?沒有更早。你說啊,你記憶力怎麼這麼不好呢?沒有沒有,我先跟委員說明,這個視訊的方式是印方這邊建議的。 |
transcript.whisperx[292].start |
8794.953 |
transcript.whisperx[292].end |
8817.914 |
transcript.whisperx[292].text |
什麼時候決定的啦?印方一定很早就告訴你了日期我可能要再確認一下你為什麼不敢說明呢?在國會直接講我真的不記得那麼重要的事情你不記得那你記得什麼事?沒有那第二個就是說這個部長你迴避了我的問題我沒有迴避你的問題你的確就迴避了那那個勞發署署長講你也不知道嗎? |
transcript.whisperx[293].start |
8819.229 |
transcript.whisperx[293].end |
8844.998 |
transcript.whisperx[293].text |
什麼時候確定2月16號簽署因為這個聯繫簽署日期一直跟印度駐台北協會在連洽那後來因為是葉會長因為他也針對這個問題他也提出了一些建議的時間點那確定之後那原則上我們就是做一些安排哪一天確定的嘛我再問啊這個日期其實一直在進行當中所以可能不是某一個你們這樣的回答很不行喔 |
transcript.whisperx[294].start |
8846.679 |
transcript.whisperx[294].end |
8864.054 |
transcript.whisperx[294].text |
這個就是遮遮掩掩我不曉得為什麼這件事情有什麼好不能公開透明的來外交部回答什麼時候決定因為這是台印雙方的事情哪有這麼不明確的2月15號還說不知道2月16號就簽署什麼時候跟印度敲定2月16號簽署備忘錄 |
transcript.whisperx[295].start |
8866.056 |
transcript.whisperx[295].end |
8890.92 |
transcript.whisperx[295].text |
報告委員這個印度台北協會他事實上確實也定期跟我們外交部保持聯繫溝通好什麼時候趕快講我自己時間有限因為這個時間也一直在動態在進行當中最後確定2月16號是什麼時候最後的話這個至少是在我們選後所以1月份就確定了對不對那2月15號勞動部還在對外說謊為什麼不敢講 |
transcript.whisperx[296].start |
8895.381 |
transcript.whisperx[296].end |
8923.411 |
transcript.whisperx[296].text |
我記得不是選後不是1月你看你們兩邊根本都都不懂這很奇怪到底是1月還是2月那部長你講你否定外交部的說法那你講那你記得什麼時候啊你如果能否認那就代表你知道是哪一天啊你幹嘛不敢講啊趕快講我知道不是1月但是你說問我確定哪一天我真的要你要回去查嗎好那你要向我告訴本席嗎 |
transcript.whisperx[297].start |
8924.73 |
transcript.whisperx[297].end |
8925.01 |
transcript.whisperx[297].text |
報告委員 這個報告委員 |
transcript.whisperx[298].start |
8949.528 |
transcript.whisperx[298].end |
8964.175 |
transcript.whisperx[298].text |
因為視訊就是還沒有完成程序啦照理說我們應該是完成程序以後其實是有規劃完成程序以後對外來說明就是因為換文才算正式那所以你們在急什麼沒有急啊我的意思是說報告委本來 |
transcript.whisperx[299].start |
8964.935 |
transcript.whisperx[299].end |
8991.11 |
transcript.whisperx[299].text |
跟印方那邊是說我們就先視訊然後等視訊雙方換文完畢我們就正式對外有一個公開的說明可是因為那天視訊的時候就是印方那邊先從印度那邊先說啊我們已經視訊了啊所以我們就趕快對外說也沒有遮掩就是說因為本來的想法是說因為你簽署還沒有完成是各簽一邊而已啊我們本來的規劃我跟委員報告我們本來規劃就是完成以後我們會對外說明那你什麼時候會完成 |
transcript.whisperx[300].start |
8992.591 |
transcript.whisperx[300].end |
9001.068 |
transcript.whisperx[300].text |
那個因為這樣子跟你的報告就不符合喔你們報告是說你們已經完成你對外新聞稿都是已經完成的MOA的簽署喔 |
transcript.whisperx[301].start |
9002.898 |
transcript.whisperx[301].end |
9030.139 |
transcript.whisperx[301].text |
二月十六是視訊簽署那你什麼時候換文完成換文完成是二月二十六那有報告就說外交部他二月二十六來給我們就是說公委說他們雙方換換文了那另外一個本席就要問你你這麼急著簽的這個MOU在去年你們的新聞稿十二月的時候你們一直在說十萬是假訊息然後我們會跟社會溝通本席就要問你 |
transcript.whisperx[302].start |
9030.819 |
transcript.whisperx[302].end |
9047.013 |
transcript.whisperx[302].text |
你從去年12月發的那個新聞稿之後你跟社會做了什麼溝通我剛剛聽到署長的回覆我傻眼了齁他說這些反對的團體呢我是用email給他然後email之後因為他都沒有回覆所以就這樣算了這個叫溝通嗎你有舉辦任何的公聽會或座談會跟社會大眾說明嗎舉辦了幾場你告訴本席 |
transcript.whisperx[303].start |
9056.381 |
transcript.whisperx[303].end |
9061.565 |
transcript.whisperx[303].text |
從去年12月到你簽了MOU2月16號總共開了幾場的公聽會或座談會跟國人溝通?零場,對不對?我剛聽到你回覆其他委員就是零,一場都沒有然後還用簡單的email跟這些公會或團體在拜訪的時候我有跟他們說明你們列出來,去年12月20號到2月16號 |
transcript.whisperx[304].start |
9085.3 |
transcript.whisperx[304].end |
9112.236 |
transcript.whisperx[304].text |
所以嘛你們的溝通我第一個是不透明第二個就是沒有溝通正式的溝通是什麼正式的溝通在委員會裡面要求各部會要做的就是你正式的座談會或者是公聽會而且要留下記錄到目前為止你們的回覆在台印MOU之前你們就是都沒有開報告委我們其實歷來齁報告委對不起我先讓我說我們歷來在增加來源國齁 |
transcript.whisperx[305].start |
9113.997 |
transcript.whisperx[305].end |
9139.251 |
transcript.whisperx[305].text |
這個MOU的簽署之前這個都是政府做一個評估因為這就是新增來源國給雇主多一個選擇所以過去是沒有召開公聽會或做談話去徵詢大家的意見說我要新增印度好不好你確定都沒有嗎我記得以前沒有你確定都沒有你有沒有問過陳菊那個勞委會主委你確定都沒有嗎沒有問過他對啊那你怎麼敢說都沒有但我覺得委員我是說這件事情喔 |
transcript.whisperx[306].start |
9143.054 |
transcript.whisperx[306].end |
9154.233 |
transcript.whisperx[306].text |
至少我認為,黃委員也在這裡都可以見證,好多的我們朝野各黨的委員都建議我們要新增來源國 |
transcript.whisperx[307].start |
9155.236 |
transcript.whisperx[307].end |
9159.699 |
transcript.whisperx[307].text |
這個是兩件事啊部長我現在在問你的是程序的問題我說你第一個是不夠透明簽MOU遮遮掩掩第二個是你不溝通公聽會跟座談會也不開新聞稿說你要溝通結果也沒有溝通第三個就是你的程序不嚴謹剛剛其實很多人在問你你到底經過了什麼樣的評估的程序結果你說你們內部開會人家問你開會有沒有會議紀錄也拿不出來 |
transcript.whisperx[308].start |
9185.288 |
transcript.whisperx[308].end |
9191.75 |
transcript.whisperx[308].text |
可以這麼的隨意嗎?開放一個這麼大的國家印度移工要進來結果你的程序是如此的草率這個就是本席今天要問你們的不是說贊成或反對的問題而是你這些做了沒有那這個部分我看起來就是沒有做嘛不夠嚴謹嘛所以這個應該要檢討嘛另外一個你一直說10萬的印度移工要進到台灣來是一個假訊息那本席就問你 |
transcript.whisperx[309].start |
9212.955 |
transcript.whisperx[309].end |
9242.035 |
transcript.whisperx[309].text |
你們自己的這一些相關的資料當中這個勞發署的專門委員對外說移工的缺口還有8萬那我就問部長這個是你們自己人講的你們勞發署評估移工缺口有8萬那這8萬是不是要從印度移工這邊進來因為你們說現有來源國已經下降阿所以你才要備另外一個開發新的來源國阿那我問你移工缺口8萬你怎麼補足 |
transcript.whisperx[310].start |
9243.783 |
transcript.whisperx[310].end |
9268.169 |
transcript.whisperx[310].text |
你沒有要從印度進來,那你要從新的開發國進來,那你要從哪裡補足?就現有需求啦對啊,你剛剛也有說我們有需求啊報告也是因為疫情嘛,疫情那個移工真的有短﹑人數有降來再來就是說,我們現在的好不然你改變你的說法好了,我們現在移工缺口有多少? |
transcript.whisperx[311].start |
9268.829 |
transcript.whisperx[311].end |
9284.48 |
transcript.whisperx[311].text |
你回答本席這個才12月你們勞發署的專委對外新聞採訪的時候說的說移工缺口有8萬那如果部長你今天要改變說欸我們已經補足了好現在移工缺口還有多少我是要跟委員說那多少嗎不是8萬是多少你告訴我本席啊快點 |
transcript.whisperx[312].start |
9285.58 |
transcript.whisperx[312].end |
9299.973 |
transcript.whisperx[312].text |
這個我想專委我們的專委他應該就是業務單位他很清楚啦所以他這應該是正確的啊我的意思是說這個缺口並不是要從印度來補足要不然要從哪幾個國家補足現有的就可以啦現有的四國那何必再開放印度呢 |
transcript.whisperx[313].start |
9300.954 |
transcript.whisperx[313].end |
9320.122 |
transcript.whisperx[313].text |
這多一個選擇,報告委員,因為我們...你們剛剛講得很急切,說這個一定要開發,因為譬如說印度可能會下降,現在又告訴大家說從既有的來源國就可以補足,那這樣就沒有開放的必要啦,這很矛盾耶。不是不是,沒有沒有,報告委員,因為我們這個是一個好... |
transcript.whisperx[314].start |
9321.142 |
transcript.whisperx[314].end |
9328.484 |
transcript.whisperx[314].text |
這個未雨綢繆啦,因為你現在這次的...那就不用急啊,既然是未雨綢繆,沒那麼急切我們已經跟印度方,就是說這三年我們都在討論部長,因為我時間很有限,我要告訴你的是說你要引進新的來源國,沒有人反對但你今天最大的問題是什麼?我剛剛講的那三點就是說你不夠透明,你也沒有好好的溝通 |
transcript.whisperx[315].start |
9347.628 |
transcript.whisperx[315].end |
9371.784 |
transcript.whisperx[315].text |
然後你的程序也不夠完備所以社會才會反彈你現在跟社會的溝通跟對話是完全不夠的連你們本黨的委員都這樣子講然後最後我要問你就是說這一些負面的衝擊跟影響剛剛一直在說這個移工的犯罪率低啊然後你換算那個比率等等現實的問題就是犯罪 |
transcript.whisperx[316].start |
9372.404 |
transcript.whisperx[316].end |
9397.865 |
transcript.whisperx[316].text |
他的件數就是在增加因為失聯的移工的人數也在增加換算比例是有點自欺欺人這些就是事實發生一件就是一個個案發生一件就是一個真實的數據所以今天本時要提醒部長是說面對問題才能解決問題而不是在報告上面一直美化說印度移工完全都沒有問題你這樣就不是撐回對話 |
transcript.whisperx[317].start |
9399.727 |
transcript.whisperx[317].end |
9424.704 |
transcript.whisperx[317].text |
沒有去看到人民心中的擔憂跟恐懼那如果你轉換另外一個態度你去多開座談會你開公聽會你好好的跟民眾解釋說針對犯罪的部分我們會怎麼樣預防針對逃逸的這些移工我們要怎麼樣強化我們的措施給大家一個安全安心的保證這樣的社會溝通就是成功的民眾就會反過頭來支持你 |
transcript.whisperx[318].start |
9426.685 |
transcript.whisperx[318].end |
9447.973 |
transcript.whisperx[318].text |
因為現在缺工的問題的確是產業界的一個現象而民眾的反對是他背後的疑慮跟擔憂所以我勸勞動部你們換一個態度來處理這件事情而不是用防衛的方式用否認的方式然後用美化的方式告訴大家說都不會有問題人家其他國家都很好大家都不要擔心 |
transcript.whisperx[319].start |
9448.974 |
transcript.whisperx[319].end |
9449.694 |
transcript.whisperx[319].text |
接下來我們請盧縣議委員進行質詢 |
transcript.whisperx[320].start |
9484.658 |
transcript.whisperx[320].end |
9484.678 |
transcript.whisperx[320].text |
請部長 |
transcript.whisperx[321].start |
9498.925 |
transcript.whisperx[321].end |
9501.728 |
transcript.whisperx[321].text |
8號委員我們其實在整個原住民的協助方面 |
transcript.whisperx[322].start |
9527.796 |
transcript.whisperx[322].end |
9553.694 |
transcript.whisperx[322].text |
我們持續的包括說就業的媒合職業的訓練我們都有一直在推動計畫在處理我要問的問題是說你們一年的編列的預算是多少針對原住民的勞工的一個比如說你說剛才的媒合或者是說你們的教育訓練有沒有編列多少的預算給我們我請署長查一下這邊有 |
transcript.whisperx[323].start |
9561.621 |
transcript.whisperx[323].end |
9588.021 |
transcript.whisperx[323].text |
我請署長說明跟委員報告其實原住民我們現在其實都跟原民會一起在合作那預算如果是以今年113年其實我們大概編列了4億7千多萬那其實這裡面主要就是協助原住民包含職業訓練還有就業媒合協助那其實目前這幾年下來其實原住民在透過相關的一些大概整個的需求我們大概盡量的來做一個使用率有100%嗎 |
transcript.whisperx[324].start |
9589.102 |
transcript.whisperx[324].end |
9598.377 |
transcript.whisperx[324].text |
現在目前的就業的情況其實比過去都好很多,失業率其實跟我們現在的一般也已經都接近了我這邊有個數字,去年推介的就業率達到 |
transcript.whisperx[325].start |
9603.755 |
transcript.whisperx[325].end |
9627.48 |
transcript.whisperx[325].text |
這是去年 74.32那我也同意這一兩個小時裡面很多委員所提到的執聘中心的檢討那我希望我本席辦公室也會收到你們檢討報告好不好然後接到我們進行今天的主題你部長告訴我一下你知道的印度是什麼樣的一個國家你的理解 |
transcript.whisperx[326].start |
9628.186 |
transcript.whisperx[326].end |
9654.558 |
transcript.whisperx[326].text |
他是一個文明古國有多元的這些豐富的文化那我的理解是他是全世界人口最多的國家是人口紅利他現在是人口紅利最多的國家包括青年的人口紅利那我們這次要來的是白領還是藍領我們是藍領藍領為主報告委員我們的白領早就有了我們現在在台灣的白領有2800多人我知道美國的引進的印度勞工是白領 |
transcript.whisperx[327].start |
9656.027 |
transcript.whisperx[327].end |
9684.287 |
transcript.whisperx[327].text |
所以我希望你們這邊能夠做一個所謂的限制因為他們的資訊的方面的所謂的也是很超前所以他們在美國錄用的印度移工是超過50%都是來自印度所以一旦我們簽署了MOU以後他們萬一有這方面的需求對我們這方面的要求會影響到我們本國的我們資訊業所以你們這方面要把關好不好 |
transcript.whisperx[328].start |
9685.767 |
transcript.whisperx[328].end |
9686.668 |
transcript.whisperx[328].text |
你可以預期多少人是來自哪一區是說哪一種語言嗎? |
transcript.whisperx[329].start |
9703.803 |
transcript.whisperx[329].end |
9725.293 |
transcript.whisperx[329].text |
目前這個都還要透過工作成績會議來談MOU簽完以後接下來就是重點就是工作成績會議這個就是要來決定哪些行業哪些人數包括語言條件技能條件等等因為我們常常在很多地方會看到越南語、泰語的標示還有或者是馬來西亞那你有 |
transcript.whisperx[330].start |
9726.127 |
transcript.whisperx[330].end |
9726.247 |
transcript.whisperx[330].text |
下一頁 |
transcript.whisperx[331].start |
9753.615 |
transcript.whisperx[331].end |
9757.881 |
transcript.whisperx[331].text |
那你知道去年整個印度的傳染病的前7名是哪些疾病嗎? |
transcript.whisperx[332].start |
9761.67 |
transcript.whisperx[332].end |
9786.718 |
transcript.whisperx[332].text |
對,就是去年的資料,最新的,那我們扣除第一個跟最後一個,也就是說它是屬於已經退流行的,也就是季節性的話,其實前,你扣掉COVID-19,後來後來的這個或是Type 4,其實這些在我們國家是比較少見,而且是第二名這個瘧疾是有死亡風險的,這個部分的把關應該要嚴格把關。 |
transcript.whisperx[333].start |
9787.598 |
transcript.whisperx[333].end |
9815.253 |
transcript.whisperx[333].text |
報告委員喔,如果有這些都進不來,因為他們要來的話,第一個他要健檢合格,然後進來以後我看到你們的衛福部的報告裡面的那個對針對我們移工的一個健檢的部分齁,其實對你們的標準的作業,其實對每個國家的移工的都是一樣的,沒有因為針對他這個國家的特殊性做調整,我希望能夠提醒說以後這個瘧疾啊,或者傷感這些,如果萬一跑進來的話你們要怎麼辦? |
transcript.whisperx[334].start |
9816.36 |
transcript.whisperx[334].end |
9843.952 |
transcript.whisperx[334].text |
報告委員那個衛福部他未來他那邊要醫院經衛福部認可醫院的健康證明才會進來因為美國的幾乎所做的項目都一樣你不會因為針對是泰國是這樣然後印度是這樣我希望你能夠做一個修正是好不好沒問題有請看第1、2、3、4、5第5項是HIV他們的人口數這麼多所以這個部分你的那個routine的檢查裡面沒有這項這個項目 |
transcript.whisperx[335].start |
9846.053 |
transcript.whisperx[335].end |
9872.442 |
transcript.whisperx[335].text |
我是說你們的那個衛福部所要檢查的項目沒有包括這一項我有看那個第6頁的樣子這個部分委員我們會來注意就是每個國家的傳染病的狀況那你現在你知道現在我們的康復工就是來自越南或者是目前比較多的是印尼他們比較常發生的問題是什麼嗎我所謂的康復 |
transcript.whisperx[336].start |
9874.932 |
transcript.whisperx[336].end |
9903.684 |
transcript.whisperx[336].text |
那請你委員指教大部分他們都是知識水準沒有那麼高然後其實大部分都在看手機然後一直在跟他母國的家人講話視訊講話其實在真正在照顧我們老人家的那個時間其實沒有那麼多他就按照三餐或者是該換尿布的時候該換藥的時候就做或是其他時間都這樣那我的意思是說當然每個人每個人的自由或者是說他的工作的態度不過我要要求是是不是看護的那個教育程度要稍微好一點 |
transcript.whisperx[337].start |
9904.841 |
transcript.whisperx[337].end |
9926.273 |
transcript.whisperx[337].text |
至少在教他要怎麼換藥或者是要教他怎麼餵食的時候有一個基本的一個他的一個概念不然你完全沒有知識水準的一個看護工來的話你在照顧我們的老人家的時候你會放心嗎?是不是?是不是要做一個適當的調整?那你知道失戀移工都在哪裡嗎?大部分 |
transcript.whisperx[338].start |
9930.066 |
transcript.whisperx[338].end |
9952.953 |
transcript.whisperx[338].text |
我知道的私立移工大部分都在山上在種一些植栽然後那我知道他們的問題當然說他們要申請要變成所謂的合法或什麼那些條件都非常的嚴格所以是不是在找到他們以後能不能是不是在司法性上面能不能一些教育或什麼的 |
transcript.whisperx[339].start |
9953.891 |
transcript.whisperx[339].end |
9954.171 |
transcript.whisperx[339].text |
那再給我兩分鐘的時間謝謝 |
transcript.whisperx[340].start |
9979.386 |
transcript.whisperx[340].end |
9992.003 |
transcript.whisperx[340].text |
那針對我們的巴士量表我希望今天能不能有一個比較明確的答案你們有沒有已經在進行規劃還是什麼免巴士量表這個部分 |
transcript.whisperx[341].start |
9992.503 |
transcript.whisperx[341].end |
10016.248 |
transcript.whisperx[341].text |
報告委員我們現在就是巴士任表以外我們還有多元的認定方式包括你使用長照那個超過6個月還有這些失智的還有一些身心特殊身心障礙的這個我們都有放寬認定再來就是他從早免評從早以後不用再在巴士任表免評這個我們也有放寬這個我們會持續滾動檢討也會跟衛福部這邊一起 |
transcript.whisperx[342].start |
10022.93 |
transcript.whisperx[342].end |
10047.299 |
transcript.whisperx[342].text |
以他們的專業來處理是不是就一個疾病診斷書就可以來取代?因為巴斯列表實在是太浪費很多的資源尤其是住在偏遠地區的族人他們要包車還要請家人載他們然後有時候剛好看的科別醫師請假或者是說他不願意的話他又要再花一天再過來等於是勞思動眾 |
transcript.whisperx[343].start |
10048.86 |
transcript.whisperx[343].end |
10063.634 |
transcript.whisperx[343].text |
報告委因為我們基本上康務工能夠聘請康務工他就是私能對我是說私能的認定其實在巴士量表巴士量表他是一個我想是各國所承認的標準只要是在台灣獲得合格醫師的執照他不會亂開 |
transcript.whisperx[344].start |
10067.958 |
transcript.whisperx[344].end |
10068.278 |
transcript.whisperx[344].text |
現在請楊耀委員 |
transcript.whisperx[345].start |
10100.819 |
transcript.whisperx[345].end |
10101.46 |
transcript.whisperx[345].text |
部長好部長我們現在 |
transcript.whisperx[346].start |
10126.513 |
transcript.whisperx[346].end |
10150.228 |
transcript.whisperx[346].text |
外籍移工的政策我們的勞動政策是補充性的勞動力對不對是並不是替代性的可是這個到底是補充還是替代呢他有有有很多有很多有很多模糊的的地帶也就是說假如說 |
transcript.whisperx[347].start |
10152.213 |
transcript.whisperx[347].end |
10177.419 |
transcript.whisperx[347].text |
我直接這樣子講好了比如說這幾年我們政府都有超預算徵收稅款這個我就直接大膽的假設是多數的企業其實是有賺錢的對不對才會有那麼多稅款可以收嘛那 |
transcript.whisperx[348].start |
10181.636 |
transcript.whisperx[348].end |
10208.34 |
transcript.whisperx[348].text |
假如說我們還缺工那麼厲害有沒有一種可能是因為受薪階級的薪資並沒有隨著經濟的成長增加?這個有沒有可能?有沒有可能?那正在勞動部的立場部長做過什麼還是有什麼你可以做的? |
transcript.whisperx[349].start |
10211.256 |
transcript.whisperx[349].end |
10234.493 |
transcript.whisperx[349].text |
你說有可能嘛,對不對?那勞動部站在保護勞工的立場,就加薪的部分有沒有做跨部會的溝通協調?有,像我們疫情的醫後呂樹葉的那個房屋清潔缺工的問題,那基本上他就是薪資太低啦 |
transcript.whisperx[350].start |
10235.814 |
transcript.whisperx[350].end |
10251.358 |
transcript.whisperx[350].text |
所以在這個時候但是他又缺工那我們希望能夠導入本國勞工願意到缺工行業去所以就是我們跟交通部就雙管齊下交通部他就做一個補貼業者他有要補貼有我來獎勵勞工讓他這個除了薪資以外 |
transcript.whisperx[351].start |
10257.133 |
transcript.whisperx[351].end |
10280.509 |
transcript.whisperx[351].text |
我向我獎勵勞工他還可以增加收入希望就是說能夠讓他的薪資未來就是帶動提升起來除了公部門做的部長剛剛講的就是交通部來補助理事業者然後你來補助勞工對不對除了這個以外到底政府有沒有辦法去 |
transcript.whisperx[352].start |
10292.077 |
transcript.whisperx[352].end |
10308.167 |
transcript.whisperx[352].text |
現在經濟部就是關於那個加薪減稅的那個措施他們好像是要希望再延長就是說跨部會像我們當然薪資的部門像我們每年調整基本工資我們也呼籲僱主能夠跟進那經濟部也透過加薪 |
transcript.whisperx[353].start |
10308.507 |
transcript.whisperx[353].end |
10313.051 |
transcript.whisperx[353].text |
我為什麼先提這個問題呢因為這個問題會你的薪資跟消費指數差太差太大的話就會讓所有的勞動力都變成都變成補充性的懂我意思嗎 |
transcript.whisperx[354].start |
10339.581 |
transcript.whisperx[354].end |
10341.622 |
transcript.whisperx[354].text |
所以跟委員報告我們也一直在跟企業主呼籲他一方面在喊缺工缺財 |
transcript.whisperx[355].start |
10363.434 |
transcript.whisperx[355].end |
10388.04 |
transcript.whisperx[355].text |
但我們也提醒他,你的薪資條件是不是合理?你的勞動條件是不是OK?還有就是說你的企業的整個發展,會不會讓勞工有願景?這個都是勞工要不要去你的公司上班的,他要去思考的。所以就是說各方面都是要去,大家要做努力啦。不是說你喊缺工,但是你什麼都不做。我再怎麼努力, |
transcript.whisperx[356].start |
10388.9 |
transcript.whisperx[356].end |
10404.077 |
transcript.whisperx[356].text |
勞工不願意去我也沒辦法你一直用那麼低的薪資不過我還是要講啦就是說對勞工最大的保障還是要企業可以穩定的成長所以我們並不是說只是說看起來這幾年就是國內的企業是賺錢的連帶的國家的稅收多嘛 |
transcript.whisperx[357].start |
10410.884 |
transcript.whisperx[357].end |
10437.952 |
transcript.whisperx[357].text |
那企業賺錢沒有回饋給受僱的勞工這個當然會自然會產生缺工的狀況就是維林講的沒有錯因為有賺錢那這個就是我們講的經濟果實要跟勞工分享對我覺得這個問題台灣政府必須要很正式而且要努力的去把它處理好 |
transcript.whisperx[358].start |
10449.327 |
transcript.whisperx[358].end |
10456.794 |
transcript.whisperx[358].text |
部長我問一下我們現在就是要引進印度的勞工 |
transcript.whisperx[359].start |
10462.845 |
transcript.whisperx[359].end |
10490.058 |
transcript.whisperx[359].text |
臺灣當然因為高齡化我們剛才講的那個問題是也是缺工的一個現象那最主要的就是高齡化跟少子化少子化當然就是工作年齡人口跟勞動力會下降那高齡化可能就是反而會產生高齡者的照顧需求者重我們現在 |
transcript.whisperx[360].start |
10493.206 |
transcript.whisperx[360].end |
10521.413 |
transcript.whisperx[360].text |
移工的主要來源國只有4個國家我看韓國、日本他們大概來源國都有10個差不多10個以上那來源國少存在的風險是不是比較大?是是嗎?這個也就是為什麼我們積極跟印度的一個原因嗎? |
transcript.whisperx[361].start |
10525.39 |
transcript.whisperx[361].end |
10526.694 |
transcript.whisperx[361].text |
那為什麼我們沒有辦法 |
transcript.whisperx[362].start |
10528.373 |
transcript.whisperx[362].end |
10554.688 |
transcript.whisperx[362].text |
多找一些國家來簽訂協定其實委員過去像發展署這邊也都很努力去找一些東南亞的國家但是有些譬如說他們意願或條件或政治因素的考量等等這個都造成我們一直沒有辦法順利找到適合的移工來源國的原因 |
transcript.whisperx[363].start |
10555.367 |
transcript.whisperx[363].end |
10556.728 |
transcript.whisperx[363].text |
我最後問一個問題就是 |
transcript.whisperx[364].start |
10584.949 |
transcript.whisperx[364].end |
10603.652 |
transcript.whisperx[364].text |
李樹葉啊李樹葉其實現在缺工也缺得很厲害那有沒有打算要開放李樹葉的報告委員這個議題那個觀光署有提提那個 |
transcript.whisperx[365].start |
10604.585 |
transcript.whisperx[365].end |
10624.338 |
transcript.whisperx[365].text |
有評估過來我們也開過專家學者的會議2月1號有開過但因為他的報告還有一些內容包括因為他之前好像只有針對那個觀光旅館而已那包括民宿沒有對我現在要問的就是所以我們就要求專家學者要求他們 |
transcript.whisperx[366].start |
10625.298 |
transcript.whisperx[366].end |
10648.314 |
transcript.whisperx[366].text |
要各頁不僅觀光旅館包括民宿等等他們的缺工情況還有他們的工作負荷的要求等等薪資還有你的薪資所佔的成本的比例還有你有沒有可能用使用中高齡高齡者來就業還有自動化都要他們再補足 |
transcript.whisperx[367].start |
10649.246 |
transcript.whisperx[367].end |
10669.097 |
transcript.whisperx[367].text |
因為民宿比較特殊,它很難去符合本外勞的比例以澎湖的旅宿發展來講,其實民宿的發展的速度是比旅館、飯店要快得多而且也多得多 |
transcript.whisperx[368].start |
10669.837 |
transcript.whisperx[368].end |
10689.423 |
transcript.whisperx[368].text |
所以這個在討論的時候請部長這邊注意一下各地區的發展特殊性也一併考慮一下委員這個部分因為會由關公署來提案我會轉給他們提醒他們這個部分要特別的去了解好 謝謝部長 謝謝主席好 我們謝謝楊耀委員的質詢接下來我們請劉建國委員進行質詢 |
transcript.whisperx[369].start |
10711.613 |
transcript.whisperx[369].end |
10723.758 |
transcript.whisperx[369].text |
來,部長,好了齁請部長,謝謝主席好,有請部長部長,姚委員剛剛講那件事情齁,我覺得他問得不太精確這個齁 |
transcript.whisperx[370].start |
10728.206 |
transcript.whisperx[370].end |
10748.403 |
transcript.whisperx[370].text |
李肅業主計總處統計是高達5,221人但業者提供給勞動部的專案持缺人數就只有剩下1,346人這個落差為什麼會這麼大?是不是勞動部在資格的限定上太過嚴苛?不嚴苛,我們北部的薪資3萬,中南部東部2萬8 |
transcript.whisperx[371].start |
10757.879 |
transcript.whisperx[371].end |
10777.779 |
transcript.whisperx[371].text |
主席總書統計資料是52221嗎?我的意思是說你要來用我缺工的協助方案我們有給業者希望你要薪資達一定的水平才能夠參加我們這個方案你不能低薪很低然後又要叫我來 |
transcript.whisperx[372].start |
10781.183 |
transcript.whisperx[372].end |
10799.989 |
transcript.whisperx[372].text |
所以你們有各個面向的一個審核,之後才去做核定就對了啦?這確實是這樣出來的是不是?你這顯然你要跟主席總書溝通嘛,這樣落差,他是以實際上的缺工,去把這個數字呈現出來,那你沒有用很多的面向去做一個審核,才去做這樣的一個提報,是這樣嗎?合定? |
transcript.whisperx[373].start |
10802.952 |
transcript.whisperx[373].end |
10826.711 |
transcript.whisperx[373].text |
是不是這樣,不然這個落差值3000多人,這其一嘛齁,你看齁,其二你看勞動部在這個我們的救護機構推介了6507人的時候,其實專案職缺錄取人數才690人,嚇我啊,一成多,所以這邊也要很嚴謹,這邊要更嚴謹,還是這邊...不是不是不是,因為我們推介了他不用啦 |
transcript.whisperx[374].start |
10830.147 |
transcript.whisperx[374].end |
10852.88 |
transcript.whisperx[374].text |
你們推薦他都不用,你們推薦是有問題不是,沒有問題,我們都有照他開的那個規格條件去幫他找人可是我們推薦過去他不用,他缺工當然他挑工你照他們的規格推薦過去他還不用,他們挑戰你們業者在缺工的情況之下還在挑戰你們 |
transcript.whisperx[375].start |
10855.151 |
transcript.whisperx[375].end |
10883.631 |
transcript.whisperx[375].text |
沒關係啦,部長,我就把這個數據提供給你做參考這個數據明顯上是有問題的一個現在進行式啦是不是給我們數根資料到底你怎麼做這樣的一個處理方式好不好我覺得還是要討論這個啦,開放印度移工我坦白講我真的會持有不同的意見啦因為我看你們的報告,等一下把報告拿過來給我一下我不曉得為什麼現在要去開放印度移工的原因最主要是什麼 |
transcript.whisperx[376].start |
10885.374 |
transcript.whisperx[376].end |
10900.271 |
transcript.whisperx[376].text |
因為其實委員長久以來社會各界還有包括在大院的朝野委員之前都有希望我們能夠去開展尋找新的來源國因為 |
transcript.whisperx[377].start |
10901.112 |
transcript.whisperx[377].end |
10916.452 |
transcript.whisperx[377].text |
到目前為止只有4個來源國齁那有時候這個依賴風險會很大啦依賴風險嘛對不對所以我們就因為有依賴這樣的風險所以就必須要分散風險嘛你的邏輯是這樣嘛對不對但是目前的移工來源國並沒有缺工啊目前 |
transcript.whisperx[378].start |
10917.952 |
transcript.whisperx[378].end |
10940.549 |
transcript.whisperx[378].text |
目前的移工來源國是當然可以引進移工但是如果他減少像現在泰國的移工不太進來我們的營造業過去都蠻依賴泰國移工但是真的最近的業界跟我們反應就是說不太能夠找得到人印尼也曾經一度 |
transcript.whisperx[379].start |
10941.97 |
transcript.whisperx[379].end |
10955.135 |
transcript.whisperx[379].text |
用零負擔的政策也暫停引進它是在2020年很初零互惠嘛對不對對,所以那個都對我們的僱主造成高風險所以我們也必須去多增加來源國來讓這個過度依賴風險能夠降低 |
transcript.whisperx[380].start |
10959.236 |
transcript.whisperx[380].end |
10979.165 |
transcript.whisperx[380].text |
對2020那個零互惠要這個輸入的僱主自行負擔所有的規範也勞動部去跟印尼政府去做相關溝通之後才取消嘛所以他時不時到時候又有什麼狀況你們要很會心的去處理這樣的事情所以你必須要去做這樣的分散風險對不對但是部長你看現在這個數據顯然沒有在分散風險怎麼說四個國家進來你看外企在看護 |
transcript.whisperx[381].start |
10986.795 |
transcript.whisperx[381].end |
11007.727 |
transcript.whisperx[381].text |
家庭看護工、印尼是我們總托都是20萬出嘛齁那印尼就佔了16萬對照其他三國的比例已經高達79%嘛我們沒有再做任何的分散調整了這其一啦齁這個數據當然是現在的數據了這個過程5年因為我時間的關係不然照理講你的報告裡面應該把這個數據給我們做參考其一啦齁其二你看這個產業製造業的製造業的部分齁 |
transcript.whisperx[382].start |
11017.178 |
transcript.whisperx[382].end |
11039.743 |
transcript.whisperx[382].text |
4、7萬多印尼、馬來西亞、菲律賓、泰國、越南又是最高的,佔了46%一個佳嶺康復工,印尼是最高79%然後四頁面的這個移工製造業的越南市22萬多是佔了46%多這5年的變化怎麼樣?我想我如果還沒有看到資料,我可以推敲,就是這樣嘛 |
transcript.whisperx[383].start |
11040.495 |
transcript.whisperx[383].end |
11064.357 |
transcript.whisperx[383].text |
所以我們讓一個輸入國的這個勞工的比例一直持續的高居不下我們就會製造更大風險的存在而不是你現在去再輸入一個新進的一個來源國就可以去降低風險這是我的邏輯跟我的思考比如你在這個基礎面你不去做相關的調整而後你就會再遇到像印尼那一個零互惠的事情再發生一次 |
transcript.whisperx[384].start |
11066.119 |
transcript.whisperx[384].end |
11093.375 |
transcript.whisperx[384].text |
問題是這樣因為基本上就是他要選擇哪個來源國的移工這是雇主他來決定我們其實會尊重雇主的選擇像雇主他會喜歡用印尼移工他覺得他可能就是比較乖巧然後比較不是啦我們引進進來我們要分散風險然後部長你又打呼我說是尊重雇主他要聘來一個國家的 |
transcript.whisperx[385].start |
11093.575 |
transcript.whisperx[385].end |
11095.357 |
transcript.whisperx[385].text |
其二,你看今天的報告,不管是勞動部、不管是移民署,針對這個逃跑外遙 |
transcript.whisperx[386].start |
11117.065 |
transcript.whisperx[386].end |
11140.134 |
transcript.whisperx[386].text |
去年的1月已經來到8064人了齁8萬出了齁今年的1月已經來到85947報告裡面從頭到尾沒有提到這事情怎麼處理是其一喔那其二印度的印度的輸出他國的這些移工在他國的逃逸情況是什麼狀況 |
transcript.whisperx[387].start |
11141.667 |
transcript.whisperx[387].end |
11152.835 |
transcript.whisperx[387].text |
報告裡面也完全沒有提出所以所以你今天要跟我講說印度移工進來之後會不會我們可能明年就會突破逃跑外島達10萬的10萬人的這個大關這個報告委員自己沒有沒有部長你先聽我講我今天要去贊成你做這個政策之前我當然要做 |
transcript.whisperx[388].start |
11163.776 |
transcript.whisperx[388].end |
11190.757 |
transcript.whisperx[388].text |
我要看到你們相關的資料是讓我們可以安心的讓我們可以去對外說得清楚的對不對我們今天針對淘寶外勞因為過去疫情的關係種種這個我都很清楚因為確實台灣也缺工的非常嚴重然後在惡性循環的情況之下每年累積了這麼多人那現在在開放印度的這個移工進來那印度的移工在他國的整個整個他們的情況淘寶的比例到底是多高我們都不清楚 |
transcript.whisperx[389].start |
11191.516 |
transcript.whisperx[389].end |
11205.558 |
transcript.whisperx[389].text |
那你現在是要來引進他們來衝破十萬大關嗎?你這個要讓我們知道啊然後你勞動部難道只是引進人然後抓人就是移民署那移民署也沒有在這個報告裡面特別提到這個事情啊 |
transcript.whisperx[390].start |
11206.92 |
transcript.whisperx[390].end |
11232.896 |
transcript.whisperx[390].text |
報告委員這個部分我們再來收集相關的資訊因為我們之前所理解的它其實在世界各國的一個使用狀況還有包括說它的逃跑等等並沒有說特別的這個嚴重的狀況但是如果剛剛委員講的我們再請再來收集資訊並沒有特別的嚴重狀況那我希望我要求勞動部提供這個資料給我們對比其他各國 |
transcript.whisperx[391].start |
11234.056 |
transcript.whisperx[391].end |
11259.497 |
transcript.whisperx[391].text |
對比印度的移工在他國的情況逃跑的比例怎麼樣給委員會做參考嘛這基本嘛對不對然後另外一個你們在報告裡面又寫的我覺得寫這個對部長絕對是不好啦推銷好像在推銷這個印度的移工有多好你們很多問題都沒有去討論到嘛報告中提到印度憲法已經明文禁止印度教的種姓制度歧視問題 |
transcript.whisperx[392].start |
11261.292 |
transcript.whisperx[392].end |
11283.942 |
transcript.whisperx[392].text |
這事實是沒有錯啦,但是其實行為是可以透過憲法跟法律名義就可以禁止嘛你也知道這是不可能的事嘛但是你為什麼報告寫這樣,我也不曉得然後進來的基本上絕對是他們最底層的這個勞動階級嘛他們進來我相信他們也會珍惜他們的工作機會我也相信嘛但是這又牽涉到人權問題我們在齁,我們在這個 |
transcript.whisperx[393].start |
11287.08 |
transcript.whisperx[393].end |
11312.874 |
transcript.whisperx[393].text |
長期被國際關注,甚至於美國國務院在2021年的時候,人權報告中也特別提到臺灣移工的權利問題。這兩件事情在一起。那,印度移工要引進到臺灣相關的資源系統,被起了嗎?被起了嗎?建制,有沒有事先的建制作業?因為文化不同,語言不同。 |
transcript.whisperx[394].start |
11314.482 |
transcript.whisperx[394].end |
11330.589 |
transcript.whisperx[394].text |
而且又在部長你的任內都還沒有開放新的這個移工來源國的情況之下就是你當部長這麼久第一次要做事情那這些事情都沒有做相關好的評估還有甚至於應該要建設的前置作業都沒有做之前 |
transcript.whisperx[395].start |
11331.667 |
transcript.whisperx[395].end |
11355.082 |
transcript.whisperx[395].text |
你就要做了嗎?沒有,報告委我們現在MOU簽署只是說大家合作的意向初步那接下來就是會進入實質的討論包括相關的配套規劃這個我們都會來處理因為其實從MOU簽署然後後面工作層級會談完你說我們要整個確定以後我們才會正式公告不是不是今天召委排這個你就要 |
transcript.whisperx[396].start |
11355.962 |
transcript.whisperx[396].end |
11357.823 |
transcript.whisperx[396].text |
好,那我最後就這樣好不好,第一個 |
transcript.whisperx[397].start |
11384.744 |
transcript.whisperx[397].end |
11406.789 |
transcript.whisperx[397].text |
我剛才提到分散風險的方法、方式是不是有更精準的一個處理的一個方向那第二個總性文化的不同然後我們前置的作業預估你們怎麼做嘛那第三個就是剛剛我特別提到說他們在他國的這個情況 |
transcript.whisperx[398].start |
11408.877 |
transcript.whisperx[398].end |
11420.643 |
transcript.whisperx[398].text |
的逃逸的比例是怎麼樣?是不是可以我們提供做參考?以上。好不好?謝謝。好,謝謝召委。謝謝。我們謝謝劉建國委員的質詢。接下來我們請林淑芬委員進行質詢。主席,各位大家午安。是不是請我們這個許部長。好,請許部長。 |
transcript.whisperx[399].start |
11441.55 |
transcript.whisperx[399].end |
11461.199 |
transcript.whisperx[399].text |
林委好部長好好久不見了這個是我重新回到未完委員會第二次諮詢看到你很開心我可以站在這裡我也很開心我要請教你第一件事情請教一下你知道印度的人口大概14億裡面會講英語的大概有幾%嗎這個 |
transcript.whisperx[400].start |
11465.154 |
transcript.whisperx[400].end |
11470.96 |
transcript.whisperx[400].text |
你不知道?你都要評估MOU都簽下去了要評估輸入嗎?你不知道?你說中了還要查詢? |
transcript.whisperx[401].start |
11476.874 |
transcript.whisperx[401].end |
11505.353 |
transcript.whisperx[401].text |
我告訴你人家都告訴你答案了你連看都沒有看過清大印度中心副主任方天賜他說許多人誤以為印度人都會講英語雖然他們官方語言是印度話跟印度語跟英語可是事實上全印度會講英語的人口大概只有10%未來在語言翻譯上將會是一項關鍵的成本那我們就看到部長你署長你不用再查我可以告訴你10% |
transcript.whisperx[402].start |
11507.574 |
transcript.whisperx[402].end |
11509.115 |
transcript.whisperx[402].text |
來源地區將來我們會在工作層級會議來做討論 |
transcript.whisperx[403].start |
11535.751 |
transcript.whisperx[403].end |
11549.445 |
transcript.whisperx[403].text |
那我的意思是說印度是一個非常多元族群的國家我們對政府要開放這個輸入的政策真的要有相當程度的了解在印度使用的語言一萬人以上使用的語言有122種 |
transcript.whisperx[404].start |
11553.949 |
transcript.whisperx[404].end |
11571.211 |
transcript.whisperx[404].text |
那在這種狀況裡面為什麼講這個呢是因為這個準備的工作很龐雜你們去簽MOU你們去跟印度談然後你們自己國內要準備工作籌備會議工作籌備等等你們必須要討論的是 |
transcript.whisperx[405].start |
11572.953 |
transcript.whisperx[405].end |
11590.441 |
transcript.whisperx[405].text |
要如何協助雇主乃至於全台灣的社會跟印度移工之間的文化適應還有將可能面對的衝突不要把一個好的外交突破或者是移工政策變成外交危機 |
transcript.whisperx[406].start |
11592.728 |
transcript.whisperx[406].end |
11611.669 |
transcript.whisperx[406].text |
有沒有可能?當然是有可能的。臺灣僱主根據你們自己叫移工管理及運用調查統計報告你們自己勞動部做的報告裡面,你知道嗎?那個事業單位,你們自己做的有效樣本是8,562份 |
transcript.whisperx[407].start |
11614.352 |
transcript.whisperx[407].end |
11631.904 |
transcript.whisperx[407].text |
事業單位的僱主4534份家庭僱主4028份你知道事業面僱主在管理和運用移工時曾遭遇到的困擾有44%都遭遇過困擾其中最大的困擾是什麼你知道嗎阿蘇丁你知道嗎保證一塊就知道不一樣語言不通幾%你知道嗎事業單位的僱主幾% |
transcript.whisperx[408].start |
11645.385 |
transcript.whisperx[408].end |
11648.488 |
transcript.whisperx[408].text |
你不知道?你自己做的報告你都不知道?現在68.2% |
transcript.whisperx[409].start |
11654.229 |
transcript.whisperx[409].end |
11670.665 |
transcript.whisperx[409].text |
再來就是發生逃跑失聯34%再來是溝通困難如配合度不高等27.4%是你們自己做的事業單位那家庭僱主方面遇到困擾的35.7%困擾的原因語言不通還是56.1%居高 |
transcript.whisperx[410].start |
11676.65 |
transcript.whisperx[410].end |
11688.404 |
transcript.whisperx[410].text |
所以我們今天要講說的確語言溝通困難這個事實是存在的而且僱主這幾十年來一致都認為這是最大的障礙之一啊 |
transcript.whisperx[411].start |
11689.485 |
transcript.whisperx[411].end |
11717.428 |
transcript.whisperx[411].text |
那我們今天這個台灣印度研究協會他們在去年你們政策說要開放的時候也有發表聲明他們表示支持循序漸進的開放印度移工希望政府相關單位要成立專家諮詢小組匯集民間的意見進一步的規劃引進印度移工的配套措施 |
transcript.whisperx[412].start |
11718.749 |
transcript.whisperx[412].end |
11738.194 |
transcript.whisperx[412].text |
要正確的理解印度社會的特色跟台印關係的重要性但是呢你們也說未來要透過共同審議研議然後循序漸進務實辦理那現在請問一下有沒有具體擬定的工作方向有沒有要聘請專家成立這個專家諮詢小組那籌組的專家諮詢小組有沒有 |
transcript.whisperx[413].start |
11743.676 |
transcript.whisperx[413].end |
11746.999 |
transcript.whisperx[413].text |
有沒有開過會還是已經成立了沒?有,報告委我們已經成立,剛剛3月1號也開過會 |
transcript.whisperx[414].start |
11751.598 |
transcript.whisperx[414].end |
11778.331 |
transcript.whisperx[414].text |
開過會你們請的專家諮詢小組是真的專家還是你們內部會議邀請專家是外交部給我們的印度專家外交部有給我們建議的名單所以是你們內部的這個工作層級會議還是你們內部的另外我們工作層級會議還沒有是你們的準備會議邀請了外部的對諮商的我們會現在會有諮詢小組那比例有多高 |
transcript.whisperx[415].start |
11780.322 |
transcript.whisperx[415].end |
11807.508 |
transcript.whisperx[415].text |
什麼比例你們署長跟委員報告因為我們現在臨編專家在你們整體會議就是有相關跟印度方面比較了解的像一些學者那這裡面也有包含就是過去在印度沒有不要我再問你的比例啦你們行政人員占了九成九然後邀請一個專家也是專家這全部都對啦我們其實基本上我們都是邀請專家學者然後還有相關部會代表一起來討論 |
transcript.whisperx[416].start |
11810.22 |
transcript.whisperx[416].end |
11814.821 |
transcript.whisperx[416].text |
我現在在這裡要跟部長分享因為這是一個新開發的市場老實說我現在不想問你這個問題不用切切私語我要請你專心聽 |
transcript.whisperx[417].start |
11827.465 |
transcript.whisperx[417].end |
11846.097 |
transcript.whisperx[417].text |
新聞報導你留任的機率很高所以我們未來的勞工政策還仰賴於你但我現在有一個大的數十年來從開放外勞到現在大家都覺得錯誤的引進政策都已經來不及改了你剛才人家質詢問你職聘的時候你也覺得說現在的狀況已經很難走回頭路再改了 |
transcript.whisperx[418].start |
11852.461 |
transcript.whisperx[418].end |
11867.616 |
transcript.whisperx[418].text |
所以過去錯誤的外勞引進政策比如說國家退位沒有政府純粹引進都靠外勞仲介引進來以後語言不通專業不專業沒有技能的訓練這個問題都丟給雇主 |
transcript.whisperx[419].start |
11870.339 |
transcript.whisperx[419].end |
11880.304 |
transcript.whisperx[419].text |
所以整體的外勞政策就是由僱主和仲介去承擔國家都只負責收錢而已所以這樣過去錯誤的外勞引進政策這是一個最好的導正的時機 |
transcript.whisperx[420].start |
11887.648 |
transcript.whisperx[420].end |
11905.037 |
transcript.whisperx[420].text |
因為人家質疑你說你開放這個市場引進這個市場是不是因為有另一批提供這個人力仲介業者龐大的這個利益機會然後你又要如何避免說這個純粹是造福仲介業者而已 |
transcript.whisperx[421].start |
11905.777 |
transcript.whisperx[421].end |
11913.603 |
transcript.whisperx[421].text |
如果照過去錯誤的引進外的這種政策對啊沒錯啊訓練也是仲介啊然後仲介剝削仲介不當的管理然後沒有專業訓練然後丟給雇主承擔啊那今天這一個對印度開放印度勞工的模式啊這是一個好的契機喔從來沒做過我們MOU要簽的時候我們現在國對國要談的時候 |
transcript.whisperx[422].start |
11930.574 |
transcript.whisperx[422].end |
11934.256 |
transcript.whisperx[422].text |
我們是希望說啊你們這個移工政策檢討的好契機在這裡國對國的職聘我們弱化私人仲介負起國家責任而國家要做到什麼責任雖然你們有談到說印度要負起這個語言的訓練啊等等啊 |
transcript.whisperx[423].start |
11949.042 |
transcript.whisperx[423].end |
11952.344 |
transcript.whisperx[423].text |
不管印度或台灣我們要負起幾個責任包括生活語言的訓練、專業的培養當然要杜絕移工被剝削只有移工不被嚴重的剝削那這樣子他才能夠安心的穩定的在台灣就業 |
transcript.whisperx[424].start |
11969.013 |
transcript.whisperx[424].end |
11969.173 |
transcript.whisperx[424].text |
委員會主席 |
transcript.whisperx[425].start |
11999.373 |
transcript.whisperx[425].end |
12027.726 |
transcript.whisperx[425].text |
那不要忘了你知道RBARBA他們對於國際品牌其實做了一些集合台灣的供應鏈也接受集合那台灣的哪些廠已經說他們要對這個移工零付費模式他們要付起這個廠那個老闆說我們自己來吸收有哪幾個廠 |
transcript.whisperx[426].start |
12031.214 |
transcript.whisperx[426].end |
12037.84 |
transcript.whisperx[426].text |
BNA的行為準則為電子業和它的供應鏈制定了規範它當然是拿品牌形象、國際形象、大廠、大牌有能力的先開刀 |
transcript.whisperx[427].start |
12058.135 |
transcript.whisperx[427].end |
12073.622 |
transcript.whisperx[427].text |
那其實那個目的是要確保員工安全的工作環境有尊嚴而且接受尊重的工作而且要符合環保規範符合商業的誠信道德所以在這種我們的 |
transcript.whisperx[428].start |
12074.822 |
transcript.whisperx[428].end |
12102.961 |
transcript.whisperx[428].text |
企業當然是大企業也願意實施移工零付費模式了那在這種狀況裡面世界爭相競逐要的這個印度輸出的勞動力勢必也是要比各國勞動的就業環境也是人家也是要比啊那你知道阿比耶這樣子說我要集合你以後台灣的企業就有一些人就說我要實施移工零付費模式人家批評了一句話什麼話你知道嗎 |
transcript.whisperx[429].start |
12104.422 |
transcript.whisperx[429].end |
12107.424 |
transcript.whisperx[429].text |
這個政府比不上一個國際的NGO啦你有辦法做到零剝削嗎?移工零付費嗎?你有做到對移工的專業訓練、生活語言訓練嗎?都沒有現在一個RBA |
transcript.whisperx[430].start |
12123.464 |
transcript.whisperx[430].end |
12139.322 |
transcript.whisperx[430].text |
非官方的機構人家讓我們台灣企業帶頭在做那其實我部長要跟你講這個事不是說你比不上阿扁而是說這個未來一定會成為趨勢而且一定會朝向這個方向 |
transcript.whisperx[431].start |
12140.961 |
transcript.whisperx[431].end |
12168.763 |
transcript.whisperx[431].text |
所以這些企業類似企業的基本責任也要朝這個方向走所以這是一個好的時機好的時機就你印度開放的模式輸入的模式應該要將過去錯誤的引進政策導正做一個好的檢討比照像是以色列的模式由印度政府負責培訓以色列的模式主席我最後講以色列模式雖然我還有其他要講 |
transcript.whisperx[432].start |
12171.6 |
transcript.whisperx[432].end |
12191.567 |
transcript.whisperx[432].text |
以色列模式是由政府,印度政府負責培訓,而且訓練內容是由台灣,要由輸入國來提出,而且我們要針對過去可能被詬病的環節要去扭轉,比如說韓國將語言基本能力測驗列為基本選工標準, |
transcript.whisperx[433].start |
12193.707 |
transcript.whisperx[433].end |
12214.798 |
transcript.whisperx[433].text |
進階的技能檢定他沒有強制但是他有這個那入境以後要提供基本訓練希望還能夠依職類開設相關的職訓和中文課程我們要其實不是顧到我們而已也要有利於移工來台後職場及生活適應而他適應了對僱主也是好的 |
transcript.whisperx[434].start |
12216.079 |
transcript.whisperx[434].end |
12237.391 |
transcript.whisperx[434].text |
甚至我們你再積極作為你要想移工你來台以後可能還可以推如果你返回印度我們是不是引介你回到印度的台企裡面去工作優先引用、禁用然後增進兩國的經濟人才的交流然後增進兩國的外交的情誼和合作的關係 |
transcript.whisperx[435].start |
12239.252 |
transcript.whisperx[435].end |
12266.633 |
transcript.whisperx[435].text |
我想剛剛講這個國對國的引進啊然後負起政府責任啊然後剛剛講政府要扛起更多的這個負責的訓練還有要求不要把不要跟過去一樣都跟你無關你只收那個四千四千多少四千五現在沒有調漲吧兩千啊然後如果你是那個3K5機制在家不是啦你們那個救安基金那一筆繳多少錢 |
transcript.whisperx[436].start |
12267.589 |
transcript.whisperx[436].end |
12267.889 |
transcript.whisperx[436].text |
國對國執聘可以嗎? |
transcript.whisperx[437].start |
12290.163 |
transcript.whisperx[437].end |
12316.218 |
transcript.whisperx[437].text |
這個也是我們未來工作成績會其實這個也是我們一個重點我想現在在場的委員都會支持我們支持印度模式成為未來模式的示範然後導正過去錯誤的政策印度模式就從國對國執聘弱化私人仲介從中巧立名目的這個剝削移工的這個機會然後也證明你不是為了人力仲介業去開發這個市場的可以嗎 |
transcript.whisperx[438].start |
12321.009 |
transcript.whisperx[438].end |
12328.214 |
transcript.whisperx[438].text |
臨時提案第一案建於勞動部與印度完成簽署促進雇用引進印度勞工瞭解備忘錄MOU引發民眾恐慌社會嘩然 |
transcript.whisperx[439].start |
12341.883 |
transcript.whisperx[439].end |
12362.31 |
transcript.whisperx[439].text |
且經查勞動部跨國勞動力政策協商諮詢小組﹐過去兩年並無任何有關印度移工引進的相關討論提案與決議﹐原此建請勞動部﹐一、進行社會影響評估﹐勞動市場影響評估﹐政策可行性評估報告﹐二、邀請勞資政學還有移工仲介 |
transcript.whisperx[440].start |
12363.03 |
transcript.whisperx[440].end |
12386.096 |
transcript.whisperx[440].text |
與移工權益代表在立法院召開公聽會.緊速在各縣市政府逐一召開說明會盤證現有同意與移工生活轉業等服務量能.最後針對現有失聯外勞暴增現象提出階段性精進改善計畫與目標勞動部在未完成上述精進作為與目標前不得禁止開放印度移工路徑 |
transcript.whisperx[441].start |
12386.936 |
transcript.whisperx[441].end |
12415.043 |
transcript.whisperx[441].text |
提案人委員.圖全吉.連署人委員.陳金輝.蘇清泉第二案.勞動部針對外國人從事家庭幫庸工作之我國僱主資格.依現行法規定.僅由家戶成員符合.有3名以上之年6歲以下子女.或有4名以上之年12歲以下子女.且其中2名為年6歲以下條件之一.類計點數滿16點者.使得申請招募或承接外國人 |
transcript.whisperx[442].start |
12416.454 |
transcript.whisperx[442].end |
12434.091 |
transcript.whisperx[442].text |
然上述規定並不符合現今國情為減緩家庭壓力原建議勞動部放寬審查標準修正相關規定至家有一名6歲以下輕度或中度罕病兒累計點數16點下修及家中有兩名4歲以下幼兒提案人委員 |
transcript.whisperx[443].start |
12438.416 |
transcript.whisperx[443].end |
12455.515 |
transcript.whisperx[443].text |
第三案經查勞動部新聞稿與媒體相關報導﹐談應雙方於1、2年6月左右即開始洽談直至本國視訊與印度簽署MOU前一日﹐勞動部仍表示簽署相關期程與方式仍在研議中又查自洽談一時﹐ |
transcript.whisperx[444].start |
12456.796 |
transcript.whisperx[444].end |
12480.752 |
transcript.whisperx[444].text |
其間卻未曾有召開政策說明會、公聽會與國人溝通:更未有政策影響評估、社會影響評估、勞動力市場需求與衝擊評估等報告以供參考.原要求勞動部於召開公聽會、三場座談會與政策影響評估報告前.不應盡致適行引進印度移工提案人委員王育敏、廖偉祥、盧憲一第4案 |
transcript.whisperx[445].start |
12485.155 |
transcript.whisperx[445].end |
12503.568 |
transcript.whisperx[445].text |
臺灣外勞失聯後逃逸情形自110年以來成長比例增加近40%失聯移工情形相當嚴重並對臺灣社會與治安形成潛在問題有鑒於移工引進多數透過國內仲介業者後續管理移轉雇主等業務一同 |
transcript.whisperx[446].start |
12504.068 |
transcript.whisperx[446].end |
12526.138 |
transcript.whisperx[446].text |
故未維護合法業者與移工權益.有效自源頭降低逃逸外勞數量.原要求勞動部應針對引進移工失聯率過高之仲介業者.於一定期間內禁止引進移工.並於一個月內沿你預警機制與業者失聯率評估標準.提案人委員王玉敏、廖偉祥、盧憲一.第5案 |
transcript.whisperx[447].start |
12526.658 |
transcript.whisperx[447].end |
12545.531 |
transcript.whisperx[447].text |
有鑑於巴士量表已經超過10年沒有調整其次很多長輩的失能有時候是跟環境相關包括獨居失衣沒有主要照顧者等並非巴士量表可以反映出來的真實情形變成許多實際上有需求的人也會被排除在外原要求勞動部檢討外國人從事就業服務法第46條第1項第8款至第11款工作資格及審查標準放寬被看護者應據條件為 |
transcript.whisperx[448].start |
12555.658 |
transcript.whisperx[448].end |
12562.964 |
transcript.whisperx[448].text |
年齡滿80歲以上.無需經醫療機構所作專業評估.70歲以上經診斷為癌症二期患者.或年齡未滿80歲.經醫療機構以團隊方式所作專業評估.認定有全日照顧需要者.並請勞動部於一個月內將檢討結果回覆.立法院社會福利及衛生環境委員會.提案人委員.邱振軍、王育敏、盧憲一宣讀完畢 |
transcript.whisperx[449].start |
12583.766 |
transcript.whisperx[449].end |
12585.288 |
transcript.whisperx[449].text |
請問第一案行政單位有沒有意見? |
transcript.whisperx[450].start |
12595.432 |
transcript.whisperx[450].end |
12622.91 |
transcript.whisperx[450].text |
報告召委員、各位委員第一案那個我們知道土委員在關心那個印度整個相關的評估那以及未來整個的一個相關的對外的溝通那因為目前因為整個相關的評估其實我們卻會完成相關的評估這部分我們可以提供那另外就是在整個社會的溝通面上其實我們現在已經有一個跟相關的專家諮詢跟跨部會以及未來相關利害關係團體其實會有一個溝通的平台 |
transcript.whisperx[451].start |
12623.73 |
transcript.whisperx[451].end |
12640.492 |
transcript.whisperx[451].text |
至於說這個為後續整個的一個規劃在相關的未來移工引進之後的這個生活相關的翻譯或照顧這個其實都會配套來完成那最後就失聯移工這個我們本來就有同步在整個未來做一個精進所以可能是不是建議委員是不是能夠同意 |
transcript.whisperx[452].start |
12641.033 |
transcript.whisperx[452].end |
12653.258 |
transcript.whisperx[452].text |
因為現在MOU現在的進度就是因為雙方已經完成這個範文那在行政院被查之後可能後續比較重要是在工作層級會議的討論那剛剛大概委員關心的這些議題我們會同步來進行就是相關的評估報告以及相關的一些未來的一個對外的一個溝通跟一個政策諮詢的一個程序 |
transcript.whisperx[453].start |
12663.883 |
transcript.whisperx[453].end |
12691.894 |
transcript.whisperx[453].text |
那這一部分是不是建議在整個程序面上面是不是容許我們就是我們還是照目前的MVP的進度那相關這裡面所提到的評估報告跟我們的一些相關的對話的溝通跟這個利害關係人的一個專家諮詢的討論那這部分我們會再按照委員的指示我們來做一個辦理以上那你這樣講的意思你要修正什麼樣的文字這個案子 |
transcript.whisperx[454].start |
12692.301 |
transcript.whisperx[454].end |
12706.7 |
transcript.whisperx[454].text |
你們的修正文字有跟委員溝通嗎?因為剛剛是有跟土委員這邊溝通我們是建議修正文字是這樣子就是後面1234跟最後一段都建議刪除改成從 |
transcript.whisperx[455].start |
12710.242 |
transcript.whisperx[455].end |
12731.655 |
transcript.whisperx[455].text |
第6行原始建請勞動部.以下是建議修正的文字.召開跨部會及學者專家諮詢會議.及邀請各利害關係團體參與討論.並提供具體評估報告.送本院社會福利及衛生委員會之各委員這是這個建議的修正文字徒惠園可以同意嗎 |
transcript.whisperx[456].start |
12744.426 |
transcript.whisperx[456].end |
12745.987 |
transcript.whisperx[456].text |
委員就要發言.可以上台發言 |
transcript.whisperx[457].start |
12754.502 |
transcript.whisperx[457].end |
12780.002 |
transcript.whisperx[457].text |
好 謝謝主席那針對這個它這個完善的評估報告那有沒有包含我們比較明確的像社會影響評估、勞動市場評估跟政策可行性評估因為一些完善評估我覺得很模糊、懵懂這個我們都納入那可以註明嗎那是不是我們的文字這三個面向這個文字我們在整個的報告裡面我們都會把它納入 |
transcript.whisperx[458].start |
12781.158 |
transcript.whisperx[458].end |
12797.019 |
transcript.whisperx[458].text |
就是明確說至少這三個評估報告一定要做嘛因為你講完善我覺得太模糊了那是不是我們建議文字並提供社會影響評估、勞動市場影響評估及政策可行性評估等完善評估報告 |
transcript.whisperx[459].start |
12798.356 |
transcript.whisperx[459].end |
12813.716 |
transcript.whisperx[459].text |
那說明會的部分呢說明會是這樣因為我們現在已經會建立一個平台有專家政策跟相關的一些代表那這部分我們會來邀請納入我們現在其實已經召開像我們3月1號已經召開第一次會議已經在進行當中 |
transcript.whisperx[460].start |
12815.538 |
transcript.whisperx[460].end |
12832.913 |
transcript.whisperx[460].text |
那你們召集各縣市召開說明會這會有困難嗎?我們是不是建議委員因為目前因為各縣市對這個議題可能還並不是很實質就是說如果未來在討論的時候我們可以找部分的就移工可能需求比較大的縣市有一些代表也參與我們的討論那同意的部分呢?這個就是未來在配套上那個工作層級會議的配套這部分都是會同步來進行 |
transcript.whisperx[461].start |
12843.493 |
transcript.whisperx[461].end |
12860.92 |
transcript.whisperx[461].text |
那因為你們一直說他這個針對英文的部分那是你是引進的部分會特別注明針對英文的部分溝通能力的問題對因為根本因為這個部分還要透過雙邊的工作會議這個還要跟印度方來做一個討論我們會提出我們的需求 |
transcript.whisperx[462].start |
12864.461 |
transcript.whisperx[462].end |
12891.152 |
transcript.whisperx[462].text |
提案不能註明說要求你們在各縣市召開說明會解決各縣市的疑慮跟委員報告因為現在因為這只是一個目前初步目前只是一個合作的一個框架跟意向那後續就是說整個在整個一旦確定在工作會議在討論的過程當中假如有跟各縣市未來在執行上有關這個部分我們後續會在後續再來做一個妥善的一個規劃 |
transcript.whisperx[463].start |
12892.281 |
transcript.whisperx[463].end |
12920.792 |
transcript.whisperx[463].text |
好那就是那個針對報告的部分我們那幾項一定要特別注明那你在召開會議的時候要請各縣市要請各縣市的代表我們會邀請部分比較主要縣市代表來參與好好我們謝謝徒委員好接下來第二案報告委員第二案我們無意見沒有意見好另一位委員 |
transcript.whisperx[464].start |
12926.98 |
transcript.whisperx[464].end |
12951.097 |
transcript.whisperx[464].text |
署長你作為一個勞動部的主管機關你對這個沒有意見讓我們覺得很訝異第一個就是說我們對於開放外籍的家世邦庸到這個台灣本來就有規定現在他是要放寬那我們支持你有輕度、中度、很病兒或者是這個比較需要人家照顧的這一個條件我們是支持的 |
transcript.whisperx[465].start |
12952.978 |
transcript.whisperx[465].end |
12960.167 |
transcript.whisperx[465].text |
但是他後面提案是說家中有兩名4歲以下的幼兒也要放寬這個門檻那以前我們就談過說松阪外籍邦傭聘僱的門檻他恐怕會造成替代結果 |
transcript.whisperx[466].start |
12969.437 |
transcript.whisperx[466].end |
12987.485 |
transcript.whisperx[466].text |
我們知道外籍幫傭、外籍勞工到台灣輸入,我們最擔心的有兩種,一個是補充或者是替代。當然我們大多數的外籍移工都是補充原則,我們都說台灣人不愛做了嘛,那我們就補充進來。但台灣人不愛做,補充進來其實還產生第二個後果。 |
transcript.whisperx[467].start |
12992.387 |
transcript.whisperx[467].end |
12999.834 |
transcript.whisperx[467].text |
就是拉低我們的薪資事實上已經有了而我們就要回頭過來討論所謂的家庭邦庸這個市場會不會產生這個衝擊會不會產生替代那我們知道道府保姆啊他除了協助家事清潔、食物烹飪、終點阿姨他們也是來做居家清潔、料理烹飪、雜務收納或者折騰衣服等等 |
transcript.whisperx[468].start |
13019.01 |
transcript.whisperx[468].end |
13036.797 |
transcript.whisperx[468].text |
這個是家事的部分那育兒家庭呢大部分現在模式是送到外面的托育服務體系如果你降低了這個聘僱外籍幫用的標準他是不是在鼓勵你回歸到家庭由家庭裡面回到家庭那在這種狀況裡面他不但衝擊到這個終點清潔阿姨、終點保母還衝擊到現在的兒照產業的從業人員的工作權 |
transcript.whisperx[469].start |
13048.501 |
transcript.whisperx[469].end |
13061.031 |
transcript.whisperx[469].text |
那現在有2萬8千名保姆他有沒有可能面臨沒有小孩可以帶那兒照產業、托嬰中心、幼兒園更有幾萬的從業人員他們是不是也要失業那我接著要講從孩子的權利育兒的這個專業來看我已經講過了外籍幫傭取代到府服務的保姆或是專業的保姆其實 |
transcript.whisperx[470].start |
13076.022 |
transcript.whisperx[470].end |
13091.085 |
transcript.whisperx[470].text |
免疫育兒的專業 背離了育兒照顧他現在已經在走向專業化和證照化了你不要小看我們的保母喔 也不要小看這一群人即使他們都 |
transcript.whisperx[471].start |
13092.346 |
transcript.whisperx[471].end |
13106.742 |
transcript.whisperx[471].text |
不只是保姆,包括家事、清潔員,他們都是要受訓,要有學分的要求,然後甚至政府要鼓勵這些人培訓以外還要認證制度,我們是走向這樣子專業,要來做育兒,育兒不是跟他家裡吃的飽、阿嬌會睡照顧生活起居,不是! |
transcript.whisperx[472].start |
13115.455 |
transcript.whisperx[472].end |
13144.219 |
transcript.whisperx[472].text |
所以在這種狀況裡面你說你沒你兩名4歲以下的幼兒我認為這個東西不能知識體大你讓這些清潔終點清潔業的人保姆幼兒幼兒園還有這個托嬰中心還有專業化的照顧制度都要走回頭路都要面臨沒工作啊把育兒貶抑的 |
transcript.whisperx[473].start |
13145.566 |
transcript.whisperx[473].end |
13154.96 |
transcript.whisperx[473].text |
非專業化因為那個提案的委員他現在不在所以我們就是先這案就暫緩不處理好謝謝因為有委員有不同意見我們就暫緩不處理 |
transcript.whisperx[474].start |
13161.48 |
transcript.whisperx[474].end |
13182.689 |
transcript.whisperx[474].text |
跟委員報告那第三案王委員大概也提醒那個MOU推動之後可能相關的影響跟評估報告那是不是能夠比照剛剛土委員這個方式因為我們未來這個評估報告一定會提供給各委員那是不是以我們剛剛跟土委員的討論的那個方向這個文字上來做一個調整 |
transcript.whisperx[475].start |
13184.125 |
transcript.whisperx[475].end |
13205.405 |
transcript.whisperx[475].text |
我這邊比較著重是你們要跟社會的溝通你剛剛講的是專家學者但是現在其實民間有一些包括之前他站出來的這些團體你們剛剛說用email跟他們溝通我覺得這個是很不足而且是單向式的email已讀不回然後你們就算了這樣我覺得這件事情真的要成功是讓社會徹底理解就是說你們準備了什麼 |
transcript.whisperx[476].start |
13206.986 |
transcript.whisperx[476].end |
13232.713 |
transcript.whisperx[476].text |
做了什麼那這樣的社會溝通才是成功的所以我建議你們你們應該要比較具體承諾你們大概會去開你要不要開公聽會或是要不要開座談會除了專家學者的會議之外那如果要開可能大概是幾場你如果覺得三場很多那你大概要開幾場我希望是比較明確其實在幫你們因為你社會溝通不做我覺得反而會阻礙你你未來所有工作的進行好不好如果你們可以辦那就就 |
transcript.whisperx[477].start |
13237.216 |
transcript.whisperx[477].end |
13243.608 |
transcript.whisperx[477].text |
就是你就承諾說你們會召開相關的公聽會或座談會就是跟社會進行溝通 |
transcript.whisperx[478].start |
13247.243 |
transcript.whisperx[478].end |
13274.423 |
transcript.whisperx[478].text |
跟委員報告其實我們現在那個諮詢會其實就有類似這個性質因為我們參與者就是除了有那麼廣泛嗎對我們現在打算一些利害關係團體阿包含現在公民團體我們其實會邀請啦我們未來把那個邀請的對象會盡量再更多那你們要提供讓本委員會知道你們邀請了誰而且要打一定比例阿民間團體會打我們會邀請對啊因為剛剛林委員也有問阿邀一個也是一個 |
transcript.whisperx[479].start |
13276.125 |
transcript.whisperx[479].end |
13287.691 |
transcript.whisperx[479].text |
對阿規劃要不然你就要具體規劃送委員會我們會持續監督好不好我們依照召委的指示就是我們在這個諮詢會議我們把相關的要參與者規劃大家也會比較清楚然後你可以規劃然後你這團體在疑慮的是什麼我覺得這樣反而好我也剛才說只有單方的官方 |
transcript.whisperx[480].start |
13304.261 |
transcript.whisperx[480].end |
13333.463 |
transcript.whisperx[480].text |
好,下一次你們要回復委員會,你們大概會召開機場,這樣諮詢會,然後那頻率你們是多久開一次,好不好?你們要怎麼開?對,因為待會,待會還會有諮詢,你們修正完之後再給本席看那這個先,待會再回來看好,來,第4案 |
transcript.whisperx[481].start |
13341.845 |
transcript.whisperx[481].end |
13363.884 |
transcript.whisperx[481].text |
中介管理這個我想這個我們會遵照委員的指示好那就通過好謝謝來第5案第5案因為針對因為高齡針對現行的這個看護移工的這個申請可能因為巴士量可能對部分地區有造成不便其實這個我們跟衛務部都持續在檢討那這個案子我們會遵照委員的指示我們來做檢討跟評估這個案子我們沒有無意見 |
transcript.whisperx[482].start |
13364.462 |
transcript.whisperx[482].end |
13381.708 |
transcript.whisperx[482].text |
好 那第5案也通過那就是剛剛那個第三案的文字修正就是你們待會再提供給本席好 那我們的這個臨時提案都已經全部還沒有完全處理完畢就第三案文字要再提供給本席那接下來我們繼續質詢我們請謝伊鳳委員進行質詢 |
transcript.whisperx[483].start |
13394.198 |
transcript.whisperx[483].end |
13399.102 |
transcript.whisperx[483].text |
關於移工政策的問題其實在我們民間就一直有不同的聲音就是現在 |
transcript.whisperx[484].start |
13420.198 |
transcript.whisperx[484].end |
13445.387 |
transcript.whisperx[484].text |
我在經濟委員會質詢發現我們今年度本來預估我們的經濟是緊縮的那可能就是說我們的製造業會放緩但是現在庫存銷的差不多了可能民間的製造業又開始在加班或者是在幹工那會不會增加我們勞工的需求 |
transcript.whisperx[485].start |
13446.127 |
transcript.whisperx[485].end |
13473.595 |
transcript.whisperx[485].text |
會不會?你們預估呢?你們有相關的預估嗎?當然,如果經濟成長率好的話,當然...你們在院會裡面有做相關的討論嗎?因為今天他們都在上修我們的經濟成長,過去可能都是2點多趴,可能今天都會到了3點多趴,那3點多趴的時候對於勞動力,現在坊間在不同的業別已經有缺工的問題了,是不是? |
transcript.whisperx[486].start |
13474.415 |
transcript.whisperx[486].end |
13495.322 |
transcript.whisperx[486].text |
是,缺工的問題一直存在對,那如果缺工的問題你們短期內怎麼樣解決?我們其實報告委員除了已經開放業別就是移工的引進以外那另外在本國勞工的部分我們是希望說譬如說我們中高齡高齡者的續留或者這個 |
transcript.whisperx[487].start |
13497.697 |
transcript.whisperx[487].end |
13501.959 |
transcript.whisperx[487].text |
但是你們這種引導的方式有沒有辦法解決這個問題因為其實我們當初也很單純的認為勞動力可以自由的流動嘛 |
transcript.whisperx[488].start |
13518.268 |
transcript.whisperx[488].end |
13529.519 |
transcript.whisperx[488].text |
可是後來發現不同的業別勞動力要自由的流動的確有困難啊就如同在疫情的期間我們發現製造業晃反的時候我們希望他把它導到餐飲業在去年當我們的製造業當我們的那個什麼餐飲業需求量變大的時候我們又希望說說什麼 |
transcript.whisperx[489].start |
13542.031 |
transcript.whisperx[489].end |
13556.189 |
transcript.whisperx[489].text |
其他的業別跑到參議院可是我們發現都沒有辦法就是說讓他們自由的流動啊是不是因為勞工在職業的選擇是自由性的嘛是啊是啊我們要尊重勞工的選擇只要說他有意願 |
transcript.whisperx[490].start |
13557.47 |
transcript.whisperx[490].end |
13577.803 |
transcript.whisperx[490].text |
想要這個流動到跨域的產業,我們也會透過資訊來幫忙。對,可是我們說這個是沒有辦法,這個很難啊,我們沒有辦法說,那所以你怎麼解決缺工的問題未來?缺工,因為,報告委員,缺工問題一直存在啦,那政府的重點就是說我們如果去開發,去開發這些勞動力,包括說很多,像我們台灣其實以那個 |
transcript.whisperx[491].start |
13583.948 |
transcript.whisperx[491].end |
13603.174 |
transcript.whisperx[491].text |
50歲以上的這個勞參率是整個比起韓國日本是降了將近20%那我們會希望把這些還是壯世代的這些勞動力人口能夠希望他們重返職場所以我們最近也推了計畫希望說在三年內我們可以至少在50歲以上這個壯世代能夠增加30萬的人力進來 |
transcript.whisperx[492].start |
13604.915 |
transcript.whisperx[492].end |
13630.39 |
transcript.whisperx[492].text |
好那這個部分就是說我們會看產業的需求那去去調整對於有一些製造業他沒有辦法他如果缺工的問題一直存在很久的情況下那我們本就是本國的勞動力不願意參與的情況下那我們怎麼樣子解決這個缺工的問題他們希望能夠提就是提高或者是把 |
transcript.whisperx[493].start |
13631.07 |
transcript.whisperx[493].end |
13648.947 |
transcript.whisperx[493].text |
就是同一個業別的這個移工的這個現額比例提高那有沒有辦法?那個報告委我們現在就是extra制嘛比如說你原來的合配比例是多少你想要增加可以你就是就案費增加就可以聘到最高可以到40% |
transcript.whisperx[494].start |
13651.55 |
transcript.whisperx[494].end |
13665.931 |
transcript.whisperx[494].text |
就是你可以加等於說加救安費來提高你的比率那另外還有就是國內承接比如說有些移工他因為原來的業別他可能現在沒有缺那麼多人那他可能是就是 |
transcript.whisperx[495].start |
13666.611 |
transcript.whisperx[495].end |
13670.832 |
transcript.whisperx[495].text |
為什麼沒有辦法讓基層的中小企業主可以了解呢?因為如果是這樣子,你有人家就不知道了啊 |
transcript.whisperx[496].start |
13690.816 |
transcript.whisperx[496].end |
13705.65 |
transcript.whisperx[496].text |
我們都工業區都去辦座談然後各分熟的都發表座談那有一些不在工業區裡面報告委員我覺得很多問題是這樣就是說可能因為我們辦座談有時候不是僱主來啦都是他裡面的職員來那回去有沒有 |
transcript.whisperx[497].start |
13707.057 |
transcript.whisperx[497].end |
13734.849 |
transcript.whisperx[497].text |
如實的來把這些機制讓老闆知道因為包括我自己也去跟僱主座談他們也說我哪都不知道可是我跟他說我們怎麼辦啊就常常說可能來上來開會的人他沒有回去沒有跟僱主提供這些資訊但是沒有問題其實我們勞動部我們的網站各項的就業資訊各項的協助都有我是鼓勵企業主或者你打個1955來你有什麼問題我們都可以專人來幫你服務那我們各地的分署 |
transcript.whisperx[498].start |
13735.589 |
transcript.whisperx[498].end |
13763.916 |
transcript.whisperx[498].text |
各地的分屬我們甚至就是企業有缺工需求我還請同仁去專人去服務客製化的來幫你媒合這個都可以做得到的會不會你在這個委員會講一套那在地方的沒有沒有沒有我跟你說你們根本不是這樣子嘛那我要求你們到我的那個可以可以委員因為我聽到的情況就不是如此嘛我剛在這幾天我光跟中小企業座談就很多很多場 |
transcript.whisperx[499].start |
13765.356 |
transcript.whisperx[499].end |
13779.967 |
transcript.whisperx[499].text |
不過有一個問題就是我剛剛跟你講的部主真的不曉得因為來上課的人回去沒有講所以我只要我親自去講我都要求至少就是一定要總經理、董事長乘起來因為他們才會去瞭解他們關注的問題在哪裡 |
transcript.whisperx[500].start |
13781.048 |
transcript.whisperx[500].end |
13802.557 |
transcript.whisperx[500].text |
他才會知道說原來政府有那麼多措施所以委員如果你可以辦個座談會我可以去講對因為工業區他們現在就是面臨的就是長期就是我如果今天的經濟成長是如此的情況下那未來我們國內有一些產業是本國的勞工不願意去從事的情況下 |
transcript.whisperx[501].start |
13803.217 |
transcript.whisperx[501].end |
13825.741 |
transcript.whisperx[501].text |
那本來我們就應該要讓當然第一個我們是應該用就是我們的智慧的機械來減低我們的這個勞動力的比例嘛然後但是你短期的問題缺工的問題還是要解決嘛你們中間的那些人員是不是應該要不要影響我們的質詢這樣子我們就是質詢沒有效率嘛是不是 |
transcript.whisperx[502].start |
13827.042 |
transcript.whisperx[502].end |
13840.693 |
transcript.whisperx[502].text |
好對啊沒關係這個部分我會把相關的資料給你那有必要我也可以去跟業者座談雙向溝通那我們因為我會交代發展署這邊去 |
transcript.whisperx[503].start |
13843.315 |
transcript.whisperx[503].end |
13869.814 |
transcript.whisperx[503].text |
在您轄區的工業區在辦座談,邀請僱主來好,因為中小企業對於這個相關的法令那如果他們沒有辦法就是說得到進一步的了解的時候那對於我們國內的製造業以及相關的這個經濟成長就沒有辦法增加嘛,是不是?那對於我們地方的發展也會受限啊,好不好?好,謝謝 |
transcript.whisperx[504].start |
13871.98 |
transcript.whisperx[504].end |
13884.648 |
transcript.whisperx[504].text |
好謝謝謝一芬委員的質詢那我們中午就不休息我們繼續委員的質詢接下來請張家俊張家俊張家俊委員不在我們請李燕秀委員進行質詢請部長好請許部長 |
transcript.whisperx[505].start |
13895.885 |
transcript.whisperx[505].end |
13916.503 |
transcript.whisperx[505].text |
部長好,好久不見,回來這個委員會這個位子就非常的熟悉,但是事實上我們平常,雖然我隔了4年才回到立法院,但是平常我們在基層的工會其實我們常碰到,所以就勞工的議題,其實李燕秀一直都長期的關心,我想部長你非常清楚,無論行政補助費,這一次我會繼續回來追,要再與時俱進,現在什麼都在講。 |
transcript.whisperx[506].start |
13920.826 |
transcript.whisperx[506].end |
13942.2 |
transcript.whisperx[506].text |
第二點今天的主要的議題救安基金我想今天時間不夠另外我希望今年省決算的時候我有機會再跟你好好的討論但是整個救安基金的使用其實跟今天的專案報告也非常有關係我們先看一下我今天做的圖表青年就業的問題從你們今天提供的資料其實青年就業的失業率 |
transcript.whisperx[507].start |
13946.463 |
transcript.whisperx[507].end |
13972.094 |
transcript.whisperx[507].text |
其實沒有降低看起來我們整體失業率其實好像有降低但是今年的失業率其實整體來說從110年到112年其實一樣是居高不下那在這一次產業移工跟社福移工的比例的部分我也看到從110年到112年之間我們的產業移工跟我們現在的社福移工比例大概在 |
transcript.whisperx[508].start |
13972.754 |
transcript.whisperx[508].end |
13987.368 |
transcript.whisperx[508].text |
我們現在總共大概75萬左右嘛對不對那有將近50萬左右是產業的移工是產工對然後大概20幾萬是部長我覺得齁現在各行各業很多都缺工我並不認為說 |
transcript.whisperx[509].start |
13989.17 |
transcript.whisperx[509].end |
14000.498 |
transcript.whisperx[509].text |
移工政策不能做討論我覺得可以做討論但是我非常遺憾的是選前包括今天印度移工政策選前你說否認說我們根本沒有談事實上我們有談我只是說還沒簽啊 |
transcript.whisperx[510].start |
14005.261 |
transcript.whisperx[510].end |
14029.391 |
transcript.whisperx[510].text |
這個談的事情連個影子都沒有甚至在官方網站上說沒有這件事情這是假訊息不是不是那是10萬的移工是假訊息一直在談這個所以部長部長我覺得都可以談但是這個政策移工政策就必須好好更認真更深刻的談因為包括其他跨部會的合作 |
transcript.whisperx[511].start |
14030.211 |
transcript.whisperx[511].end |
14051.671 |
transcript.whisperx[511].text |
我們就要思考得非常清楚我們不是說今天大家都喊說我們缺護理人員那我們是不是下個階段我們護理人員也要用移工來做就是說各行各業都缺工但是跨部會對於移工的政策長遠的規劃跟考慮是什麼我覺得就要思考得非常清楚營造業的缺工 |
transcript.whisperx[512].start |
14052.432 |
transcript.whisperx[512].end |
14078.755 |
transcript.whisperx[512].text |
我清楚可能台灣很少人要去做營造業這部分的勞工所以我們需要移工但是如果我們每一個都只要是缺我們就用移工政策來補我覺得勞動部就會變成移民署你就不要叫勞動部外面有人這樣子批評所以我們應該要有一個短中長期的規劃跟思考不是缺什麼我就移工補什麼 |
transcript.whisperx[513].start |
14079.795 |
transcript.whisperx[513].end |
14099.723 |
transcript.whisperx[513].text |
對沒錯你認同我的說法嗎是是部長如果是這樣子的話那我覺得年輕世代對我們來說很重要年輕世代包括現在貧富差距越來越大年輕人對於現在的失落感低薪也非常的心裡也覺得非常的受傷所以這一塊 |
transcript.whisperx[514].start |
14101.043 |
transcript.whisperx[514].end |
14123.432 |
transcript.whisperx[514].text |
長遠來說所以我剛剛提到青年就業的問題失業率的問題我青年失業率是逐年在降這3年我從8.78、8.38降到去年8.01有在降不是說逐年升高這個我數據可以給委員我覺得部長這個平均數去年其實降到金融海嘯以來最低的 |
transcript.whisperx[515].start |
14124.432 |
transcript.whisperx[515].end |
14131.102 |
transcript.whisperx[515].text |
去年只有8.01部長去年113年去年1128.3920到24 11.76部長我今天時間不多我不知道你是不是因為這樣的數據就滿意 |
transcript.whisperx[516].start |
14140.414 |
transcript.whisperx[516].end |
14159.686 |
transcript.whisperx[516].text |
但青年就是說現在很多年輕人也是高薪他低就所以很多年輕人覺得我事實上我可以領更高的薪水但是我為了我怕我領不到我找不到工作做所以我本來可以領3萬的薪水我可能2萬8就去做我領3萬我的薪水我可能3萬就去做所以 |
transcript.whisperx[517].start |
14160.707 |
transcript.whisperx[517].end |
14173.209 |
transcript.whisperx[517].text |
我覺得在媒合的工作上還有包括在各個產業上跨部會的合作很重要你不能說我今天缺護理人員我護理人員下個階段我可能就要用移工政策來去補 |
transcript.whisperx[518].start |
14175.084 |
transcript.whisperx[518].end |
14190.897 |
transcript.whisperx[518].text |
這樣外界就會批評你就乾脆改名叫移民署就好啦所以部長我覺得你今天應該交代更新為什麼我說這個跟救安基金是聯動的如果說我們覺得護理人員很重要譬如我舉一個例子護理人員 |
transcript.whisperx[519].start |
14191.698 |
transcript.whisperx[519].end |
14209.029 |
transcript.whisperx[519].text |
如何讓護理人員願意回到職場生產完之後或者是休息一段時間之後願意回到職場我們救安基金怎麼樣可以做更多的補助跟使用我舉一個例子或者是照護人員或者是托育的保姆政策 |
transcript.whisperx[520].start |
14209.709 |
transcript.whisperx[520].end |
14222.638 |
transcript.whisperx[520].text |
這些可能現在都缺工那缺工我們應該怎麼樣用這些救安基金教育也好後面的津貼長期在一段時間之後長期做更好的補助讓他們願意再回到職場上 |
transcript.whisperx[521].start |
14224.571 |
transcript.whisperx[521].end |
14242.39 |
transcript.whisperx[521].text |
我覺得這個是救安基金短中長期你要不同的做法你才能說服社會大眾我今天我這個移工政策是確實不會衝擊到臺灣的這個勞工我覺得這才有辦法去說服大家否則人家會批評我勞動部變成移民署你同意嗎是 |
transcript.whisperx[522].start |
14243.351 |
transcript.whisperx[522].end |
14244.112 |
transcript.whisperx[522].text |
謝謝主席本席 邀請部長請部長 |
transcript.whisperx[523].start |
14276.172 |
transcript.whisperx[523].end |
14276.272 |
transcript.whisperx[523].text |
楊仁豪 |
transcript.whisperx[524].start |
14306.833 |
transcript.whisperx[524].end |
14320.55 |
transcript.whisperx[524].text |
對於個人認知,你不太可能會講出這樣子的話語。為什麼呢?說實在,我第一個,我先講,我沒有任何歧視的意思。那你腦中沒有歧視,怎麼會有講出這樣子的膚色? |
transcript.whisperx[525].start |
14324.395 |
transcript.whisperx[525].end |
14350.742 |
transcript.whisperx[525].text |
因為印度移工引進那之前有些社會的疑慮那認為說彼此的適應融合那你講說他的膚色就不會疑慮嗎不是我是說彼此的適應融合的問題其實剛剛會講到這個是就是說當初只是說如何讓大家能夠盡快的促進融合跟適應所以才會有這樣的那個但我也講我也覺得說這個發言真的不是很吐司所以我也表示歉意那之後我也會對這些問題會更加的 |
transcript.whisperx[526].start |
14353.223 |
transcript.whisperx[526].end |
14377.761 |
transcript.whisperx[526].text |
好 這你也表示歉意我也希望他是一個語物啦不是頭腦裡頭的觀念這是絕對不可以那我們實質來討論因為目前我們就是泰國、越南、菲律賓跟印尼四個國家嘛引進外籍移工那這20年來呢我們可以說是首度簽訂第五個移工的來源國所以在這樣的一個這個 |
transcript.whisperx[527].start |
14381.043 |
transcript.whisperx[527].end |
14396.617 |
transcript.whisperx[527].text |
這個情況之下本席要請教在2月16號我們以視訊方式來簽署了嘛簽署了這個MOU嘛那到底我們什麼時候可以引進這個這個印度移工那引進的額度跟他的專長到底是什麼呢 |
transcript.whisperx[528].start |
14399.059 |
transcript.whisperx[528].end |
14404.222 |
transcript.whisperx[528].text |
報告委員我們2月16視訊簽署2月26完整換文那接下來我們會請我們會報行政院來備查劉丞你們做本期要請問的什麼時候可以正式引進這個報告委員這個恐怕還沒那麼快因為我們後面還有工作成績還沒那麼快還沒那麼快沒關係我們還是要照程序走那到底會什麼時候 |
transcript.whisperx[529].start |
14428.095 |
transcript.whisperx[529].end |
14452.022 |
transcript.whisperx[529].text |
有可能會進來?報告委,至少也要半年、一年,為什麼?因為這個工作層級﹖今年底可不可能進來?今年底我不敢預料,就是看後面的﹖為什麼本級會跟你討論這個議題呢?因為大家看到這個訊息,大家缺工,都很期待那你認為今年底不可能,明年可不可能? |
transcript.whisperx[530].start |
14452.722 |
transcript.whisperx[530].end |
14472.487 |
transcript.whisperx[530].text |
明年是有機會啦明年是有機會也不一定因為就是要看那個工作沒關係我們就實質討論因為有要怎麼處理沒要怎麼處理嘛你不要讓產業一個期待最後是落空的這樣不好嘛所以今年底不太可能明年底有可能但是不知道什麼時候 |
transcript.whisperx[531].start |
14473.147 |
transcript.whisperx[531].end |
14486.139 |
transcript.whisperx[531].text |
是不是這樣解讀﹖可以這麼說﹖可以到底是不是﹖是﹖是這樣解讀﹖那請問﹖你們現在預計可以引進多少移工﹖數額﹖報告委﹖數額還沒預計﹖數額還沒預計﹖那專長有沒有預估﹖專長有沒有預估﹖專長會看各頁的需求﹖ |
transcript.whisperx[532].start |
14501.692 |
transcript.whisperx[532].end |
14513.6 |
transcript.whisperx[532].text |
我們會簽我們已經有自己的期待才有辦法談判嘛那你預估我們希望能夠在明年的時候有可能會引進你希望可以引進多少 |
transcript.whisperx[533].start |
14514.941 |
transcript.whisperx[533].end |
14531.676 |
transcript.whisperx[533].text |
數額上包括原額目前我也要經過大家跟跨部會討論之後那基本上原額我們一開始不會太多啦會小規模但是因為我說多少我現在就是先小額的引進啦小額是多少你這小額是小到多少 |
transcript.whisperx[534].start |
14532.668 |
transcript.whisperx[534].end |
14555.676 |
transcript.whisperx[534].text |
要談,報告委員這個要談,這個不是我自己能夠決定部長你不用緊張,因為我們今天你一定緊張,因為你語射了,因為你要知道,我們要跟人家討論的時候,你跟人家有一個主張,不是你可以決定OK,這大家可以了解,但是你一定要有主張啊,你不可能你自己沒主張啊,我就是工作成績開完, |
transcript.whisperx[535].start |
14557.196 |
transcript.whisperx[535].end |
14575.45 |
transcript.whisperx[535].text |
我會有,大概了解,我會有確定﹖你主張你的小兒,你竟然可以回答一個小兒,小兒是多少啦?小兒是多少?現在我沒有辦法回覆這個問題﹖那你所謂的小兒的定義是什麼?我的意思是說,就不會是很大量的引進啊﹖你的大量是多少?你的小兒又是多少? |
transcript.whisperx[536].start |
14579.637 |
transcript.whisperx[536].end |
14593.193 |
transcript.whisperx[536].text |
部長,你還是語射啦,我跟妳說,本期跟您討論,因為這件事都錄音錄影,大家很期待,所以大家期待,那我們也清楚,這個過程 |
transcript.whisperx[537].start |
14595.195 |
transcript.whisperx[537].end |
14614.498 |
transcript.whisperx[537].text |
聽清楚這個過程必須要去談判但是我方也必須要有自己的方案你才有辦法討論對不對你既然說出小兒小兒一定有你的數字當然你不願意說我也尊重你啦但是我要告訴你你工作會議要到什麼時候可以有一個方向出來你的工作會議要到什麼時候可以有一個方向出來工作會議現在沒有召開啊什麼時候要召開 |
transcript.whisperx[538].start |
14625.697 |
transcript.whisperx[538].end |
14630.918 |
transcript.whisperx[538].text |
就看印度方就看他,我們雙邊會去討論要開會的日期你這樣,我們本來期待很高,結果我們很失望沒關係,請你把你預估要怎麼做 |
transcript.whisperx[539].start |
14644.983 |
transcript.whisperx[539].end |
14669.956 |
transcript.whisperx[539].text |
請你詳實資料給本席,你的時間流程表請列出來好不好我再請一個議題給你做功課目前我們逃逸外勞的累計人數已經達到8萬人那請問勞動部你要怎樣防治逃逸的外勞你要怎麼去做,你的研議方案是怎麼樣因為你陸續第5個國家明年有可能會進來 |
transcript.whisperx[540].start |
14670.996 |
transcript.whisperx[540].end |
14687.672 |
transcript.whisperx[540].text |
那你必須也要也要預估我們現在的目前逃逸外勞已經有8萬人這個是顯性數字隱性我看更多對不對對啊就是這些啦就是這麼多啦報告委員我們先是去年的 |
transcript.whisperx[541].start |
14689.156 |
transcript.whisperx[541].end |
14707.648 |
transcript.whisperx[541].text |
討議人數有降下來了因為這幾年主要是疫情移工進不來供需失調所以111年的失聯率特別高5.96你既然了解這個目前的現狀討價的老闆很難過你要怎麼樣去防範請你詳細資料給本席好不好方案出來好不好這兩個議題你詳細資料給本席一個禮拜的之內請將剛才本席所要的資料這兩項給本席 |
transcript.whisperx[542].start |
14722.739 |
transcript.whisperx[542].end |
14740.671 |
transcript.whisperx[542].text |
謝謝謝謝楊瓊英委員接下來我們請吳思耀委員進行質詢好 謝主席有請部長有請部長 |
transcript.whisperx[543].start |
14744.66 |
transcript.whisperx[543].end |
14745.761 |
transcript.whisperx[543].text |
請播放好嗎?可以播放嗎?好 |
transcript.whisperx[544].start |
14759.25 |
transcript.whisperx[544].end |
14777.864 |
transcript.whisperx[544].text |
我想今天我聆聽了幾乎一整個上午其實事實上對於開放印度移工這個政策其實跨黨派的委員其實基本上都是站在支持的角度也許在作業的程序或者是未來精進的方案有提供了很多建設性的建議我們來 |
transcript.whisperx[545].start |
14779.364 |
transcript.whisperx[545].end |
14804.358 |
transcript.whisperx[545].text |
韓納然後來推進但是不管是今天委員的發言或者是這長期以來是在立法院跨黨派立委長期要求我國政府要針對外勞的這個來源國要努力想方設法去增加新的選擇新的選項所以總的來講這個政策方向我可以幾乎這樣說大家都站在Welcome |
transcript.whisperx[546].start |
14804.983 |
transcript.whisperx[546].end |
14817.566 |
transcript.whisperx[546].text |
的方向跟角度但是呢對於快或慢的這件事情我想如果我們把問題意識定在我今天的主題就是國際搶人大戰的此時此刻臺灣蘇狼摩蘇丁的這一個攸關國家競爭力的問題意識站得住腳的話我想更可以有效的推進我們這個政策大破大立大步的往前走 |
transcript.whisperx[547].start |
14834.429 |
transcript.whisperx[547].end |
14859.631 |
transcript.whisperx[547].text |
就如同剛剛前一位楊瓊英委員她甚至是指叉沒拿著皮鞭叫你快快快對不對所以說印度移工can help確實台灣面臨一個國際搶人荒缺人荒的此時此刻我們就是要快點來走嘛所以這個問題意識如果導到國家競爭力我們不只跟時間賽跑我們更跟世界各國在競爭 |
transcript.whisperx[548].start |
14861.152 |
transcript.whisperx[548].end |
14886.985 |
transcript.whisperx[548].text |
所以我要支持這個政策勇敢去做好下一頁那進入我的主題我可能時間沒有辦法講我其實有十幾頁的PPT但是我想藉這個時間也釐清一下有一些委員在詢問說這個政策是不是急救章感覺聽起來好像是昨天求婚求婚今天就結婚的感覺報告委我們其實有經過三年的 |
transcript.whisperx[549].start |
14888.446 |
transcript.whisperx[549].end |
14903.721 |
transcript.whisperx[549].text |
就我所瞭解跟掌握的資訊這樣一個跟印度的磋商從109年就開始談了談了3年多了所以絕對不是急救章快速的欠缺評估這個您要大聲講啊是 |
transcript.whisperx[550].start |
14905.382 |
transcript.whisperx[550].end |
14926.652 |
transcript.whisperx[550].text |
第二個,我們現在的程序是簽了MOU,它就是一個異項書的簽訂、換文,未來的工作事項正要開始。我不曉得大家有沒有看日劇喔,這個日劇我是日劇迷啊,都會說,請你洪森漢,以結婚為前提,跟我交往好嗎? |
transcript.whisperx[551].start |
14929.197 |
transcript.whisperx[551].end |
14932.28 |
transcript.whisperx[551].text |
這個意思就是類似MOU就是我們有這個意象以結婚為前提我們來交往但是不是明天就結婚啊交往之後我們的生活習慣我們的價值觀我們的各項 |
transcript.whisperx[552].start |
14946.411 |
transcript.whisperx[552].end |
14964.008 |
transcript.whisperx[552].text |
方方面面 攸關人生大事 都是在這個交往的過程 要去慢慢推銷 也就是我把他用這個例子來換在這個事情 MOU只是just the beginning 雙方有這個意願 我們有以結婚為前提的交往的意願 |
transcript.whisperx[553].start |
14965.287 |
transcript.whisperx[553].end |
14985.88 |
transcript.whisperx[553].text |
太沉重了但是但是未來你們要進行的工作會議而且謝謝各委員也是非常謝謝王玉敏教委今天排了這個專案報告提出了很多建設性的提醒未來擴大在工作會議的過程跟專家學者社福團體所有的stakeholders |
transcript.whisperx[554].start |
14986.821 |
transcript.whisperx[554].end |
15011.009 |
transcript.whisperx[554].text |
的對話都要積極綿密的展開所以說他沒有急救章他也不是今天MOU明天就上路這個要對社會講清楚我們還有很充裕的時間包括您剛回答楊瓊英委員的今年底你可能都說的保守也許明年比較有可能換言之我們還有一年的準備期可以收攏社會各界更多元的意見 |
transcript.whisperx[555].start |
15012.449 |
transcript.whisperx[555].end |
15038.921 |
transcript.whisperx[555].text |
第二個呢 這個政策的上路有不透明嗎?我們依據就業服務法裡頭只要是政策決定開放就要公告周知所以我們透過公告周知之後把這個政策即將上路就可以來彙聚大家對話的可能所以我認為如果有委員會誤會你們是不透明的政策跟決策我要替你們大聲的講 |
transcript.whisperx[556].start |
15040.75 |
transcript.whisperx[556].end |
15063.446 |
transcript.whisperx[556].text |
並非如此那當然也有委員提案說是不是這個政策到各縣市去開公聽會什麼的其實我翻閱了我們過去開放的其實是6個來源國啦我們的印尼、泰國、越南、菲律賓乃至於蒙古乃至於馬來西亞其實是沒有所謂什麼縣市公聽會的一來國跟國之間的這種涉外的事務本來就不會到縣市去開公聽會嘛 |
transcript.whisperx[557].start |
15070.431 |
transcript.whisperx[557].end |
15086.526 |
transcript.whisperx[557].text |
但是謝謝各委員共同的提案就是未來在這個工作會議在進一步落實的同時我們各個stakeholder大家要去對話這個非常非常的重要好因為我的PPT大概都沒時間講主席您可以坐下一下下嗎 |
transcript.whisperx[558].start |
15087.947 |
transcript.whisperx[558].end |
15098.822 |
transcript.whisperx[558].text |
循序漸進穩健務實好下一頁我講到中好這一頁我想講一下我們要清楚對外界來說明外籍移工的適用法規是一樣嚴格的過去的6個國家如此未來的印度亦然 |
transcript.whisperx[559].start |
15105.351 |
transcript.whisperx[559].end |
15134.531 |
transcript.whisperx[559].text |
開放印度移工並沒有放鬆任何現行的法規我們有7個法規要適用外國人就業管理條例、勞動基準法、外國勞動人力供應管理條例、就業服務法、全民健康保險法社會安全法以及外國工作者保險條例換言之我們是同樣規格在管控這個也要對社會說清楚講明白好下一頁好我就問最後這個題目好了好我回到最後一頁我的那個 |
transcript.whisperx[560].start |
15137.293 |
transcript.whisperx[560].end |
15156.75 |
transcript.whisperx[560].text |
因為我長期加入教育文化委員會我對於印度移工就是低階人力嗎這樣的社會命題我一定要大大的為印度移工撕掉這個不合理涉及歧視的標籤去掉這個汙名化我監督的過去監督的部會其中一個叫做中研院 |
transcript.whisperx[561].start |
15157.811 |
transcript.whisperx[561].end |
15185.35 |
transcript.whisperx[561].text |
中研院就有超過300名的印度博士生在中研院工作我這裡秀出來的是中研院資訊科學研究所的一位印度的研究員他現在其實是一個網紅大家可以去看看他這個影片在台灣工作的1萬名印度人其實遍及台灣頂尖大學、工讀工程學、生物科學領域、碩博士甚至在業界都是最先進的高階人力 |
transcript.whisperx[562].start |
15186.451 |
transcript.whisperx[562].end |
15201.209 |
transcript.whisperx[562].text |
而且呢除了在學研機構在竹科或南港軟體工程的園區擔任工程師的印度精英人士大有人在所以我們臺灣是一個最包容最多元最擁抱 |
transcript.whisperx[563].start |
15202.21 |
transcript.whisperx[563].end |
15207.035 |
transcript.whisperx[563].text |
各國移民尤其是各種來臺灣就業創業的人我們是這樣一個偉大的包容的國家對於任何一個未來可能成為我們國家很重要的人力補給也好專業的協力也好我們都要給予臺灣人應當有的友善 |
transcript.whisperx[564].start |
15221.73 |
transcript.whisperx[564].end |
15241.243 |
transcript.whisperx[564].text |
那謝謝主席給我多的時間因為真的時間很有限我希望這個政策透過更多元的對話啟動更專業的相關當事人的各項的研議的會議我們讓一個好的政策勇敢的上路阿您在社民進程也要大聲說這樣好不好好 謝謝主席 謝謝部長好 謝謝吳斯堯委員接下來我們請洪森漢委員進行質詢 |
transcript.whisperx[565].start |
15261.624 |
transcript.whisperx[565].end |
15264.386 |
transcript.whisperx[565].text |
主席好請許部長好請許部長黃委員好部長那個你先前受訪的時候我講到的這個談話 |
transcript.whisperx[566].start |
15275.609 |
transcript.whisperx[566].end |
15300.954 |
transcript.whisperx[566].text |
當然我們在媒體上面看起來有引起了一些風波但我必須說其實勞動部這幾年在推動職場友善或防治就業歧視的業務上面我自己是給予肯定的所以我自己也希望接下來勞動部的工作裡面可以繼續秉持過去在推動這個防治就業歧視的像這樣子的一個努力當然我也看到部長也道歉了 |
transcript.whisperx[567].start |
15302.321 |
transcript.whisperx[567].end |
15331.062 |
transcript.whisperx[567].text |
那我其實想來跟部長討論的是今天關於印度移工的問題其實我想印度移工的議題從去年大家社會開始爭議之後如果仔細去看很多民間其實提出來的疑慮其實我自己觀察到這些疑慮其實這個輿論的風向其實有一些轉化這個轉化其實從一開始也許大家對特定的人種會有特定的一些看法不同的看法可是我覺得後面的討論其實我感覺其實大家 |
transcript.whisperx[568].start |
15332.003 |
transcript.whisperx[568].end |
15356.49 |
transcript.whisperx[568].text |
比較多針對的反而是臺灣的移工政策的制度根本的制度的問題大家有疑慮的反而是這件事情那現在臺灣社會在引進外籍勞工其實真的跟過去不太一樣我想我知道勞動部這幾年其實在這個政策上面其實遇到很多困難跟挫折其實我覺得有一個很大的原因其實是社會的期待跟過去其實不一樣 |
transcript.whisperx[569].start |
15358.931 |
transcript.whisperx[569].end |
15382.848 |
transcript.whisperx[569].text |
我必須很誠實的說我覺得現在其實有很多關於移工政策最根本的原因其實是我們政府其實承擔的太少這個承擔的太少其實以至於其實有很多引進移工以後後面該擔的責任就落到僱主這一端僱主如果他擔不起他就會把這個責任希望能夠轉嫁給仲介 |
transcript.whisperx[570].start |
15384.056 |
transcript.whisperx[570].end |
15384.436 |
transcript.whisperx[570].text |
主要我在想齁這個 |
transcript.whisperx[571].start |
15413.972 |
transcript.whisperx[571].end |
15424.579 |
transcript.whisperx[571].text |
因為在救福法的規定移工的照顧管理基本上是雇主的責任但我講這個不是說政府就可以免責所以政府應該在如何讓整個 |
transcript.whisperx[572].start |
15426.585 |
transcript.whisperx[572].end |
15447.238 |
transcript.whisperx[572].text |
部長我等一下會跟你討論這個問題但我要說的事情我其實可以舉幾個例子來跟你說其實現在很多僱主跟移工兩方其實都有一些抱怨跟不滿一個地方是我們在移工相關的業務上面的辦理其實行政上面其實是非常非常複雜的部長你有沒有自己親自辦過相關的業務自己親自 |
transcript.whisperx[573].start |
15448.078 |
transcript.whisperx[573].end |
15474.169 |
transcript.whisperx[573].text |
我自己沒有提出申請走過但我是一直要求同仁簡化這個行政的手續不然我跟你說在這方面其實我們看到韓國其實已經全面數位化了其實我們臺灣也有派員去做韓國去做考察但到目前為止我們還是沒有做好這個簡化的流程跟統合數位化的程度還是相當低還有很多工作其實是沒有完成的我們臺灣現在移工的人數70幾萬人對不對75萬人 |
transcript.whisperx[574].start |
15477.272 |
transcript.whisperx[574].end |
15500.402 |
transcript.whisperx[574].text |
這麼多的人數如果我們業務還是用這個龐雜、複雜的方式在進行我們可以想像有多少行政成本必須花在這事情上面所以部長我第一個還是要要求至少就政府可以做的事情上面我們現在到底有多少的文書作業文件的程序其實是有空間可以整合、可以統合、可以簡化的這部分不能順應民眾不管是僱主端或者是移工端的要求嗎?可以嗎? |
transcript.whisperx[575].start |
15501.483 |
transcript.whisperx[575].end |
15502.083 |
transcript.whisperx[575].text |
第二點我要說部長其實我們現在75萬1 |
transcript.whisperx[576].start |
15519.497 |
transcript.whisperx[576].end |
15544.289 |
transcript.whisperx[576].text |
移工在臺灣其實他遇到各種狀況我知道現在我們的勞發署或者相關各地行政這個地方政府其實有點疲於奔命也沒有辦法來去營運我舉一個例子給你聽這是一個陳情的案件來找我部長你可以看這是他寫給我們的陳情信這個情境是這樣家庭看護工他突然中風了怎麼辦 |
transcript.whisperx[577].start |
15546.141 |
transcript.whisperx[577].end |
15561.302 |
transcript.whisperx[577].text |
我跟大家跟部長說不管是我們的僱主其實真的是無能為力的狀況部長看一下這封澄清信這是僱主寫給我們的僱主的爸爸中風所以他請了一個外籍看護來照顧這個爸爸後來移工中風了 |
transcript.whisperx[578].start |
15562.29 |
transcript.whisperx[578].end |
15581.588 |
transcript.whisperx[578].text |
所以他的仲介就跟僱主說最簡單不用擔責任的方法就是把這個移工丟回去他的母國就好了部長你同不同意這樣做你不同意對不對部長如果你不同意接下來他開始要來請求臺灣的政府相關的協助的時候對不起他求助無門 |
transcript.whisperx[579].start |
15583.595 |
transcript.whisperx[579].end |
15612.179 |
transcript.whisperx[579].text |
他去找地方的社會局地方社會局沒辦法給他幫忙找了勞工局勞工局沒辦法給他幫忙他說我爸爸就是一個中風的人我自己家裡的狀況也不好我要怎麼來去承擔這件事情對不起但是政府沒有給予相關的資源能夠讓他去處理所以我們變成是逼著可能逼著這個僱主你就必須用最廉價最簡單的方法把這移工直接丟回他的母國所以當然台灣可能就會承受在國際上面承受很大的罵名說把移工當作免洗塊 |
transcript.whisperx[580].start |
15614.5 |
transcript.whisperx[580].end |
15628.026 |
transcript.whisperx[580].text |
部長這就是我說的我們的政府對於責任的承擔太少了最後這個案例是我的辦公室一個一個打電話才把這些相關資源能夠串接起來但我們75萬名的移工每個事情都能靠立委辦公室這樣打嗎?部長你覺得呢?這個部分我們再來做一些檢討做一些制度的規劃看怎麼樣對一些 |
transcript.whisperx[581].start |
15639.229 |
transcript.whisperx[581].end |
15668.57 |
transcript.whisperx[581].text |
部長很明顯這些移工在臺灣除了勞動力提供以外他們還是一個人這個人有各種社會性的需求如果我們沒有辦法把這些需求有一個責任擔起來的話只是丟給仲介仲介用最廉價最低成本的方式來處理的話就會衍生很多社會的問題這些社會的問題就會現在讓大家可能看似對印度移工可是其實他不信任的是我們整體的移工制度所以造成的亂象跟憂慮的我覺得很部分的源頭就是來自於這個地方 |
transcript.whisperx[582].start |
15669.21 |
transcript.whisperx[582].end |
15684.364 |
transcript.whisperx[582].text |
所以部長這是我剛剛跟你說政府應該要在這裡面承擔更多的責任不是把責任丟給雇主一層一層的轉嫁下去這樣是沒有解的這樣民眾對於移工制度是不會有信心的遇到大大小小的問題也一樣會求助無門的 |
transcript.whisperx[583].start |
15686.035 |
transcript.whisperx[583].end |
15710.194 |
transcript.whisperx[583].text |
部長這是我希望我要請部長我時間不夠了但我要請部長是不是可以針對這個移工的在除了他勞動以外的社會資源的網絡我覺得我們應該有一個檢討跟規劃我們沒有這些支持的資源沒有支持的中心的時候這種事情一再的發生亂象就是會讓大家很有疑慮衍生這一次大家看到這相關的問題 |
transcript.whisperx[584].start |
15711.235 |
transcript.whisperx[584].end |
15732.074 |
transcript.whisperx[584].text |
大家的不放心就是來自這個地方所以移工的引進的問題其實是一個配套跟管理的問題配套跟管理做不是只是在進來的那一剎那做而已而是移工進到這個社會以後他遇到大大小小的問題我們怎麼支持僱主跟移工來面對這些事情這是希望我們一個支持的網絡我希望部長跟勞發署 |
transcript.whisperx[585].start |
15733.655 |
transcript.whisperx[585].end |
15757.53 |
transcript.whisperx[585].text |
我們兩個月的時間我們把相關的制度該檢討的部分尤其是應該要有一個支持移工跟雇主為支援中心的這樣支持中心的核心的理念去做相關的規劃好不好兩個月的時間不然我們狀況會一再的發生勞動部在移工引進的政策上就會一再的挫折一再的失敗一再的被檢討這不是我們樂意見到的好不好謝謝兩個月謝謝謝謝洪委員 |
transcript.whisperx[586].start |
15761.345 |
transcript.whisperx[586].end |
15763.166 |
transcript.whisperx[586].text |
接下來我們請游浩委員進行諮詢謝謝召會,有請勞動部長許部長好,請部長游永浩 |
transcript.whisperx[587].start |
15784.852 |
transcript.whisperx[587].end |
15809.11 |
transcript.whisperx[587].text |
延續著過去我們的勞工立委吳裕仁委員他對勞工權益的一個關心那我也在這裡也向勞動部針對這次的一個專案我是希望部長就是我們您跟外交部對這件事情道歉但是我希望未來再引進這個印度勞工的話不要對我們國人或是本勞道歉那我想直接跟您就教好了 |
transcript.whisperx[588].start |
15809.71 |
transcript.whisperx[588].end |
15834.401 |
transcript.whisperx[588].text |
就是剛才像楊瓊英委員所提到的小額還目前來講有沒有針對這個數字可以想過之後再做一個回答現在我心理上還沒有確定因為要開過工作成績會議我才能夠得到的答案一直都是工作會議那我再接著就教一下部長目前來講在民進黨執政期間105年到113年移工人數大概增加了多少人 |
transcript.whisperx[589].start |
15836.052 |
transcript.whisperx[589].end |
15861.921 |
transcript.whisperx[589].text |
一百零六到一百一十一百零六到一百一十三年這八年的期間移工增加了多少人大概增加了差不多有十萬有沒有差不多十萬左右我跟你講是十六萬人從五十九萬增加到七十五萬還既增加了十六萬人所以平均每年是增加了兩萬人那我想請教一下那在未來的四年會再增加八萬人嗎 |
transcript.whisperx[590].start |
15863.798 |
transcript.whisperx[590].end |
15888.219 |
transcript.whisperx[590].text |
目前的話就是說缺口啦齁這個產業的缺口那人數會不會增加這麼多當然就是靠到看到時候的狀況看到時候的狀況但是過去的8年增加16這個有增加但是其實委員那個疫情我是降低好沒關係但是總額是增加那所以說在你的小額的部分是有可能會增加逐年會增加到2萬人嗎如果產業有需求的話 |
transcript.whisperx[591].start |
15889.08 |
transcript.whisperx[591].end |
15907.835 |
transcript.whisperx[591].text |
報告委員不是這樣子就是說我們增加一個來源國是給雇主多一個選擇啦好那來源國這個跟那個人數增減沒有什麼太大的關係沒關係這個人數增減過去的8年增加16萬嘛那未來增加多少印度會增加多少現在沒有答案嘛這個增加的就是看我們產業缺工的情況 |
transcript.whisperx[592].start |
15907.995 |
transcript.whisperx[592].end |
15934.929 |
transcript.whisperx[592].text |
好那沒關係那我直接跟您就叫產業缺工因為我禮拜一在質詢工程會的時候因為營建業相關的外勞的補充他們說那時候勞動部是沒有找主委這邊討論過如何國家重大工程要來去做這個補充勞動力的部分那當然本勞跟外勞是存在著競爭關係我們都知道那我想請教一下在這一次的印度勞工進來台灣是要補充的是哪一個類型的勞工 |
transcript.whisperx[593].start |
15935.709 |
transcript.whisperx[593].end |
15960.066 |
transcript.whisperx[593].text |
各個類型都有可能我們以開放的我再講說以開放的類型都有可能營造、製造、農業那我直接就就好了就是說那在長照的部分要不要市長普通回答一下在長照的部分是不是主要會針對印度的勞工來去補充看衛務部他們這邊的盤點人力的需求 |
transcript.whisperx[594].start |
15964.429 |
transcript.whisperx[594].end |
15991.017 |
transcript.whisperx[594].text |
我們基本上就是目前比較需要充實人力的是在我們的住宿型機構那所以現在住宿型機構也配合勞動部這邊已經有修法放寬可以把護理人員都納入那現階段市長其實你們的業務報告全部都看完了那5月的我也看完了那在長照服務法104年5月三讀通過但是這個案子長照服務法則規約在立院擋了10年 |
transcript.whisperx[595].start |
15992.597 |
transcript.whisperx[595].end |
16010.398 |
transcript.whisperx[595].text |
他其實過去民進黨在野的時候他因為怕移工進入長照體系啊其實這個部分是那時候組黨的主要原因啊那我沒關係那目前來講的話移工如果要進入長照體系來去解決這個就是住宿型長照機構不足能力的問題那當然說要有整體規劃那我還是期待 |
transcript.whisperx[596].start |
16013.021 |
transcript.whisperx[596].end |
16032.577 |
transcript.whisperx[596].text |
那如果說在這個部分還是要注重到本勞的權益不然目前來講在勞動部許多指訓的部分針對長照還有許多從學生培養到未來的住宿型的人力那實際上並沒有辦法有效的銜接那再用外勞來去補充的話那其實對於本勞來講尤其是學生來講又是一大衝擊 |
transcript.whisperx[597].start |
16033.658 |
transcript.whisperx[597].end |
16054.067 |
transcript.whisperx[597].text |
那同時在這個日本來講他們在這個所謂的住宿型的這個人力啊長照人力來講他們日本的做的是不錯那所以說他們也不一定要再引用外籍那所以本席還是希望在引進這印度移工的部分啊那不僅是逃逸的部分還是要去做一個檢討因為目前失言勞工是8萬 |
transcript.whisperx[598].start |
16055.447 |
transcript.whisperx[598].end |
16055.927 |
transcript.whisperx[598].text |
來,請許部長 |
transcript.whisperx[599].start |
16085.401 |
transcript.whisperx[599].end |
16109.821 |
transcript.whisperx[599].text |
好有請許部長許部長好直接就教產業我們現在要開放印度的這個移工來引進那產業現在到底缺工的狀況有多少產業的缺工現在都像製造業我們去年有做統計大概整個缺工 |
transcript.whisperx[600].start |
16111.638 |
transcript.whisperx[600].end |
16114.442 |
transcript.whisperx[600].text |
23萬多全體產業全體你現在很簡單嘛你的報告裡面有講說製造業營造業缺工問題嚴重那你的問題嚴重有多嚴重 |
transcript.whisperx[601].start |
16125.135 |
transcript.whisperx[601].end |
16150.069 |
transcript.whisperx[601].text |
銀造業大概目前是2萬銀造業2萬製造業是7.4萬7.4萬銀造業2萬加起來是不是將近10萬對我們現在移工有總共多少人是75萬那其中你講的是說泰國籍6萬多但是你下面也講泰國因為經濟發展有減少移工輸出的趨勢所以我們泰國籍的移工是不是越來越少 |
transcript.whisperx[602].start |
16151.572 |
transcript.whisperx[602].end |
16169.728 |
transcript.whisperx[602].text |
會越來越少嗎?可能他覺得說泰國本地他們經濟也發展起來所以他們可能就回國嗎?對不對?或是說他可能有去其他地方嗎?所以你剛講的缺工有10萬人再加上泰國籍差不多6萬人也減少了所以是不是我們現在缺口至少有16萬人左右?至少10萬人以上 |
transcript.whisperx[603].start |
16173.892 |
transcript.whisperx[603].end |
16183.674 |
transcript.whisperx[603].text |
缺口?缺口大概10萬,我們現在調查的數字是這樣,我們都會滾動的去了解缺工的狀況本席就好奇啊去年 |
transcript.whisperx[604].start |
16185.239 |
transcript.whisperx[604].end |
16208.14 |
transcript.whisperx[604].text |
就有傳言是說勞動部要跟印度簽NOU引進印度的移工當時有講到是說有可能要引進到10萬移工那我們勞動部特地發文說這個是假消息假訊息結果不到兩個月的時間今年的2月就已經簽署了NOU後續還會再完成正式的締約 |
transcript.whisperx[605].start |
16209.605 |
transcript.whisperx[605].end |
16225.105 |
transcript.whisperx[605].text |
那結果我們在看今天部長也證實了確實我們現在缺口就至少10萬以上沒有沒有那你還有什麼沒有你兩分鐘前才說兩件事情沒有關聯啦不是你先聽完我講的話部長本席現在就要問的是我是今年議員 |
transcript.whisperx[606].start |
16225.646 |
transcript.whisperx[606].end |
16247.206 |
transcript.whisperx[606].text |
本席現在要問的是你現在一直口口聲聲講是說我們要開放印度是給僱主多一個選擇對不對那僱主為什麼要多一個選擇就是因為原本的這些管道已經不足以他拿不到這些移工了嗎他沒有辦法引進這些移工了嗎如果說他可以引進這些移工的話你就不存在你所謂的10萬個缺口不是嗎 |
transcript.whisperx[607].start |
16248.22 |
transcript.whisperx[607].end |
16268.092 |
transcript.whisperx[607].text |
報告委員我這麼講齁我們現在顧主他就現有的來源國他可以引進是但是我們這個是一個未雨綢繆的規劃啦齁因為就像剛剛講的這不是未雨綢繆這叫捕獲網部長因為你已經承認了你剛剛已經承認了我們現在缺口是10外 |
transcript.whisperx[608].start |
16268.772 |
transcript.whisperx[608].end |
16285.166 |
transcript.whisperx[608].text |
缺口的10萬那他要用本勞還是用外勞來引進這個都大家來努力啦那為什麼我們現在產業會有缺工10萬嘛這是您統計的本席都用您給的數字來跟您就教所以你現在告訴我是說我們為什麼 |
transcript.whisperx[609].start |
16286.127 |
transcript.whisperx[609].end |
16308.377 |
transcript.whisperx[609].text |
好這樣子為什麼那麼多的委員都會關心是說你現在開放茂蘭開放之後到底要多少你都講說沒有沒有這是NOU人數不知道人數我們會控管放心大家一定會把關好但重點就在於是說當我們就是有那麼多缺口的時候你是不是就要從這個地方要補足這個缺口否則的話我們國內的產業就是需要這些人啊 |
transcript.whisperx[610].start |
16309.551 |
transcript.whisperx[610].end |
16313.035 |
transcript.whisperx[610].text |
MOU是開發新的來源國那你開發新的來源國的用意是什麼就是要補足缺口嗎不是補足那個缺口啦 |
transcript.whisperx[611].start |
16327.335 |
transcript.whisperx[611].end |
16349.349 |
transcript.whisperx[611].text |
MOU是這樣子我新增來源國就是讓僱主未來有多一個選擇然後不會讓我們太過依賴這些已經開放的這四個國家萬一如果哪一天它暫停或者不輸出那我們可能整個移工的來源會出問題那現在我們有掌握到哪一個地方它有可能暫停或不輸出嗎 |
transcript.whisperx[612].start |
16351.932 |
transcript.whisperx[612].end |
16372.103 |
transcript.whisperx[612].text |
目前是正常但是我剛跟委員說齁所以主委你講的你講的狀況根本不存在部長你講的狀況根本不存在就剛剛我講的泰國泰國的營造工已經不太進來了本席現在講的是然後越南的經濟也慢慢上來我們也擔心以後如果他那邊的薪資條件各方面比較好他可能就 |
transcript.whisperx[613].start |
16372.463 |
transcript.whisperx[613].end |
16386.048 |
transcript.whisperx[613].text |
委員長本席現在講的就是說這樣行政部門在一個多月兩個月前去年可以大動作的講是說這個是假訊息結果選完到一個月時間就簽了NOU所以說這根本就是有在談沒有簽但是是不是過完之後一個月就簽了沒有10萬但是你有10萬的缺口 |
transcript.whisperx[614].start |
16393.53 |
transcript.whisperx[614].end |
16421.631 |
transcript.whisperx[614].text |
那個兩位是啦缺口那是主計總署的調查他是1月的調查我怎麼之前就會去這兩個部分是來來來這一件來來來部長您正要這樣講我們就再就教一下這是你今天給的報告3月6號勞動部給的報告你開宗明義第一章是什麼移工需求逐年增加那移工需求逐年增加尤其製造業跟營造業缺工問題嚴重 |
transcript.whisperx[615].start |
16423.595 |
transcript.whisperx[615].end |
16452.814 |
transcript.whisperx[615].text |
那你缺工問題嚴重你自己寫的本席就要問你是說你的依據是什麼憑什麼會寫缺工問題嚴重嘛你嚴重到底是差了多少人所以說你剛剛就講就是10萬人嘛所以這就是根本的問題所在部長本席現在我們花了4分鐘部長本席花了4分鐘講了這些事情但是本席其實最重點是什麼重點是想要提醒你我們到底缺的是勞工還是廉價勞工 |
transcript.whisperx[616].start |
16453.575 |
transcript.whisperx[616].end |
16453.609 |
transcript.whisperx[616].text |
MING PAO CANADA MANGA |
transcript.whisperx[617].start |
16455.506 |
transcript.whisperx[617].end |
16482.815 |
transcript.whisperx[617].text |
到底我們的是本勞我們都不願意去做那些工作還是業者不願意再出更多的成本所以說要push你們這邊要進要有更多的移工管道因為本席都知道很多的營造業可能也都跟我們講是說現在馬來西亞或是東南亞一些國家他們的營造也起來了所以說甚至有很多東南亞國家他們也可能會選擇去其他的國家去做移工而不是選擇台灣 |
transcript.whisperx[618].start |
16483.875 |
transcript.whisperx[618].end |
16501.906 |
transcript.whisperx[618].text |
就是他們認為是說那邊的這個薪資待遇也不錯所以我們到底是確實勞工還是廉價勞工那我們除了說只是開放有沒有未來再去提升整個勞工的一個待遇環境我最後講一點啦抱歉主席三四秒 |
transcript.whisperx[619].start |
16503.581 |
transcript.whisperx[619].end |
16523.304 |
transcript.whisperx[619].text |
剛臨時提案有提到是說要跟縣市政府這邊來溝通縣市政府有沒有準備好那剛剛有講到是說可能還不一定會做這樣的一個說明會但我想請教我們如果說真的有印度移工進來的話有沒有算過說哪些縣市政府會優先那些移工會比較去那些縣市政府 |
transcript.whisperx[620].start |
16526.925 |
transcript.whisperx[620].end |
16541.122 |
transcript.whisperx[620].text |
這個 這個看到到時候雇主的選擇啊不是啊 我想問的是你其實很簡單你完全可以了解你只要做一個研究你去調查現在營造業跟製造業到底主要的 |
transcript.whisperx[621].start |
16542.185 |
transcript.whisperx[621].end |
16561.921 |
transcript.whisperx[621].text |
公城主要的施工環境在哪邊在哪幾個縣市那就看得出來哪幾個縣市缺工問題嚴重那既然哪幾個縣市缺工問題嚴重未來印度移工可以開放的話一定是那幾個縣市優先會去想要搶印度移工啊所以那幾個縣市是不是就重點應該先說明的地方 |
transcript.whisperx[622].start |
16563.84 |
transcript.whisperx[622].end |
16588.609 |
transcript.whisperx[622].text |
如果說有些縣市他根本沒有那個工作就沒有那個工作需求他即便你開放100個國家他也不會有移工去嘛但是現在有一些縣市比如說新北市他可能重大的工程比較多相對你開放移工之後是不是有可能他的缺工問題嚴重所以他就比較有可能會去找移工進來那是不是新北市政府就應該要列為勞動部優先溝通的對象或是說明的對象這你認同嗎 |
transcript.whisperx[623].start |
16589.551 |
transcript.whisperx[623].end |
16598.514 |
transcript.whisperx[623].text |
可以啦 這個部分我覺得因為我們後續我們後續會跟到底哪個縣市報告委因為目的事業主管機關是在內政部營建署但是勞動部主管的就是這個相關勞動的問題所以這也是為什麼大家會問你嘛不是委員 我們是負責說 |
transcript.whisperx[624].start |
16612.919 |
transcript.whisperx[624].end |
16620.848 |
transcript.whisperx[624].text |
哪些行業要可以引進移工開發新的來源國那產業的缺工問題部長你們不是只是開放了一個之後後續的問題不管是社會問題相關水土不服適應問題或是等等的問題都丟給其他的部會 |
transcript.whisperx[625].start |
16628.716 |
transcript.whisperx[625].end |
16639.505 |
transcript.whisperx[625].text |
所以這是為什麼本席才會講是說甚至你的問題有可能是丟給地方政府所以我們既然不要丟給地方政府是不是就應該勞動部先找地方政府來溝通看到底地方政府準備好或說地方政府說明會他們應該要事先做什麼準備來因應未來有可能進來 |
transcript.whisperx[626].start |
16650.553 |
transcript.whisperx[626].end |
16664.178 |
transcript.whisperx[626].text |
資訊會議報告委員我們資訊會議會邀請那包括我們的後續的工作層級會議各部會我們瞭解缺工狀況比如說如果我們能夠從營建署這邊知道說每個縣市部長最後一句話你什麼時候會開這個說明會資訊會議什麼時候會開三月要開過一次找了哪幾個縣市政府 |
transcript.whisperx[627].start |
16672.743 |
transcript.whisperx[627].end |
16675.004 |
transcript.whisperx[627].text |
在開放印度移工前一定要開這樣可以嗎?可以啊 這沒問題 |
transcript.whisperx[628].start |
16700.439 |
transcript.whisperx[628].end |
16720.46 |
transcript.whisperx[628].text |
開放印度移工進來之前一定要跟縣市政府尤其是重點縣市政府開諮詢會說明會這樣可以這沒問題好謝謝部長好謝謝洪孟楷委員接下來我們請徐欣穎徐欣穎委員不在我們請蔡議委員進行諮詢 |
transcript.whisperx[629].start |
16728.511 |
transcript.whisperx[629].end |
16755.492 |
transcript.whisperx[629].text |
謝謝主席那我們是不是有請我們勞動部我們許部長好請許部長蔡委員好部長那事實上今天討論的包括印度移工未來是否開放那討論這些事實上就是為了要補足臺灣勞動力不足那臺灣的勞動力不足自然有很多因素那其中包括 |
transcript.whisperx[630].start |
16758.133 |
transcript.whisperx[630].end |
16779.529 |
transcript.whisperx[630].text |
臺灣人的就業的一個選擇也許我們現在漸漸臺灣人都比較排斥於比較屬於3K產業或者是比較勞力密集的那這部分可能需要移工來做一個協助但是我們在基層看到我覺得最主要有一個很關鍵的問題就是臺灣的失聯移工太多 |
transcript.whisperx[631].start |
16781.064 |
transcript.whisperx[631].end |
16805.18 |
transcript.whisperx[631].text |
施連移工很多所以事實上在講印度移工會怎樣我覺得未必主要還是問題出在施連移工那施連移工當然這個是另外部會但是部長你有沒有去思考一個問題就是說你們到底是希望來台灣的外勞人數移工人數越來越多還是希望我們可以有效的補足台灣勞動力不足 |
transcript.whisperx[632].start |
16808.452 |
transcript.whisperx[632].end |
16823.707 |
transcript.whisperx[632].text |
你們的目的是什麼就是補足勞動力我想大家都是這樣的想法那如果在這樣的想法的一個推演之下我感覺就像我今天標題寫的啦你們為什麼不能同意外勞去兼差啦 |
transcript.whisperx[633].start |
16826.076 |
transcript.whisperx[633].end |
16844.968 |
transcript.whisperx[633].text |
為什麼?因為比如說農業缺工,農業缺工是直接性的,他可能幾年他就去購物,他就一購物,幾年沒贏而已,所以你要請所謂的農業團體,除非他是畜牧業,你說農業團體他真的缺工啊,他過去我們世漢的時候,我們很多阿嬤是不是都在台北 |
transcript.whisperx[634].start |
16849.19 |
transcript.whisperx[634].end |
16870.876 |
transcript.whisperx[634].text |
阿台北就是小孩在考柔順嘛阿現在都沒人要考柔順啦所以現在農業在做柔順欸就沒人要考柔順他就需要可是他的問題他的時間點他不是每年嘛那如果我們可以順勢的讓他補足說好讓一些移工他去兼業阿因為移工他的目的來台灣他也是要給錢我錢 |
transcript.whisperx[635].start |
16873.477 |
transcript.whisperx[635].end |
16897.188 |
transcript.whisperx[635].text |
他們來台灣他們對他們說有時候休假不是他們目的他們想在台灣短時間內趕快賺錢然後趕快回到他們自己的國家所以站在不管是人權的一個立場不管是解決我們移工勞動力的問題我們就有效的管理他們去兼業至於可以兼業的範圍可以去兼業的時間你們再訂辦法就好了嘛 |
transcript.whisperx[636].start |
16898.834 |
transcript.whisperx[636].end |
16927.164 |
transcript.whisperx[636].text |
部長這一塊不能去思考一下嗎這個可能要整個再重新再檢討一下因為這個牽涉到修法啦然後基本上當初當初有一些就是一些考量包括僱主還有現業還有包括對現業是一個嘛所以他們監獄也是要符合事件就是說這都可以去設計沒關係就是說我們不用去自我拘束然後一直在這個問題裡面一直在那邊循環沒辦法解決問題 |
transcript.whisperx[637].start |
16928.644 |
transcript.whisperx[637].end |
16949.401 |
transcript.whisperx[637].text |
事實上有很多的缺工對不對他真的就是低時間的他有一點像是他外勞去賺外快的概念可是你這一塊如果解決了你就解決了有很部分的一部分的缺工問題當然不是專報啦這個因為我們現在是單一雇主啦就是要雇主同意阿阿你現在來對這就是要雇主同意包括職責責任 |
transcript.whisperx[638].start |
16950.922 |
transcript.whisperx[638].end |
16972.175 |
transcript.whisperx[638].text |
這些勞基法都有整套的就是說好實在認定到底怎樣算是工作場所的一個轉換我覺得都做勞基法有規定只是他沒辦法把這一套法令我們都一直害怕把它放在移工上會不會產生問題事實上這個你們都有辦法你們只要把辦法定出來然後落實管理那又解決一塊問題 |
transcript.whisperx[639].start |
16973.436 |
transcript.whisperx[639].end |
16999.457 |
transcript.whisperx[639].text |
而且這塊的問題對於農業有扎實的幫助.比現在推動外展.比現在你做特定的農業.然後他們去合作社.然後去大家去撬開.我撬一個位阿寧.我就撬一個位.結果我看起來我問很多地方就撬不出來.解決農業移工後來就做一個.就只能解決在那個.那個畜牧業因為幾年幾年沒贏的.剩下的就是很難 |
transcript.whisperx[640].start |
17001.896 |
transcript.whisperx[640].end |
17004.921 |
transcript.whisperx[640].text |
我們與其再去想開放還不是去想有效的解決辦法 |
transcript.whisperx[641].start |
17006.953 |
transcript.whisperx[641].end |
17035.86 |
transcript.whisperx[641].text |
這補充 我覺得你可以好 我再請業務單位這邊然後我第二個這個是我們也比較基層有時候說我們營造業我們有開放但是我們有要求他們有一個他們承攬工程的金額上限這個金額我不知道怎麼算但是如果以我們嘉義縣來說我們一年超過兩億甚至一億以上的公共工程是沒有那麼多的 |
transcript.whisperx[642].start |
17037.576 |
transcript.whisperx[642].end |
17040.063 |
transcript.whisperx[642].text |
沒那麼多叫沒那麼多我也變成說這一套我們這樣開放 |
transcript.whisperx[643].start |
17042.995 |
transcript.whisperx[643].end |
17044.036 |
transcript.whisperx[643].text |
我認為這個移工這部分 |
transcript.whisperx[644].start |
17069.516 |
transcript.whisperx[644].end |
17071.817 |
transcript.whisperx[644].text |
主席有請部長好請許部長 |
transcript.whisperx[645].start |
17099.845 |
transcript.whisperx[645].end |
17120.774 |
transcript.whisperx[645].text |
羅文好部長在有關於開放印尼移工的這個問題上印度移工這個問題上那實際上外界很關心的就是說我們過去的失聯的這個移工的狀況我想請問你在政府的努力之下我們的失聯移工的狀況有改善嗎 |
transcript.whisperx[646].start |
17121.869 |
transcript.whisperx[646].end |
17137.585 |
transcript.whisperx[646].text |
報告委員在疫情前其實已經有降低可是疫情之後因為整個供需失調因為邊境管制移工進不來我們在111年的時候這個整個失聯率飆升到5.96所以那一年失聯人數有4.1萬我來問您數字好了2013年1月我們的失聯移工總數是多少 |
transcript.whisperx[647].start |
17146.311 |
transcript.whisperx[647].end |
17151.935 |
transcript.whisperx[647].text |
2013喔對2023年1月2023我跟你講啦80643人那2024年1月是多少一年以後多少我告訴你是85947人所以嚴格來講失聯移工的問題是越來越嚴重你光這一年的差別你就增加了5304人 |
transcript.whisperx[648].start |
17176.139 |
transcript.whisperx[648].end |
17195.355 |
transcript.whisperx[648].text |
因為他進來的人數多啦我們應該看失聯率好沒關係我也知道單一期間來講你可能會有意見那我要講從蔡英文政府上來之後就是2016年5月上台至今失聯移工的人數一共增加多少人你知道嗎 |
transcript.whisperx[649].start |
17198.794 |
transcript.whisperx[649].end |
17200.055 |
transcript.whisperx[649].text |
2016年5月是51733人2024年1月是85947人 |
transcript.whisperx[650].start |
17207.372 |
transcript.whisperx[650].end |
17232.546 |
transcript.whisperx[650].text |
所以總共增加了34214人私聯移工在這8年增加的數字是1.66倍所以外界為什麼今天對於所謂的我們的印度移工今天的問題會跟私聯移工有那麼大的一個關切關切就是對政府我們的私聯移工的政策的處理的狀況沒有信心嘛 |
transcript.whisperx[651].start |
17233.599 |
transcript.whisperx[651].end |
17257.227 |
transcript.whisperx[651].text |
報告委員這應該這麼說啦我想印度引進新的來源國跟這個失聯的這是兩個議題你怎麼會算是兩個議題呢事實上你源頭是移工進來我們當然不反對移工進來啦可是問題是如果政府今天效能不夠你倒下水龍頭我們今天一個水盆需要水在裡面 |
transcript.whisperx[652].start |
17257.847 |
transcript.whisperx[652].end |
17278.025 |
transcript.whisperx[652].text |
你水龍頭一直開但是你一直漏水啊移工一直進來但是你一直在失聯移工一直在增加我剛剛在講說因為主要是三年的疫情導致供需失調所以我們現在已經慢慢的有一些措施希望能夠把這個失聯率降低數字看起來你就是增加1.66倍啊所以我是要勉勵你 |
transcript.whisperx[653].start |
17279.588 |
transcript.whisperx[653].end |
17301.664 |
transcript.whisperx[653].text |
你要開放移工可以但是呢你的失聯移工做得讓大家這麼沒有信心我只是覺得你進來以後你是不是如果政府效能不夠你會讓失聯移工的問題更嚴重啊這才是我們今天關切的問題當然我也覺得說今天我們不要去歧視任何的國籍種族的移工那所以此 |
transcript.whisperx[654].start |
17302.745 |
transcript.whisperx[654].end |
17329.338 |
transcript.whisperx[654].text |
但是失聯移工所引發的問題這個部分就本身還是要解決.是 這個我們一定要來面對那接下來你覺得你們已經做好萬全的準備來去開放印度的移工嗎報告委員 我們現在MOU是雙方有這個合作的意向我講一點 我只要講一點問您準備要充足啦那請問部長 印度最主要使用哪兩個語言 |
transcript.whisperx[655].start |
17332.813 |
transcript.whisperx[655].end |
17355.168 |
transcript.whisperx[655].text |
你看你也不知道印地語跟英語啦那憲法當中他們有多少語言憲法規定的附表的語言有多少有22種那我想請問部長報告裡說臺灣能包圓多元文化那我想請問你已經準備好包容印度的多元語言了嗎 |
transcript.whisperx[656].start |
17356.794 |
transcript.whisperx[656].end |
17384.522 |
transcript.whisperx[656].text |
報告委員我們現在初期我舉個例子這最現實你知道司法院特約通譯名冊裡面有涵蓋到任何一位印度語言的通譯嗎我告訴你雖然分類裡有印地語跟烏爾都語但是目前都查無通譯我只舉一個例子進來以後簽一法動全身希望我們的部長能夠做好萬全準備協調部會做好萬全準備以上 |
transcript.whisperx[657].start |
17386.636 |
transcript.whisperx[657].end |
17392.861 |
transcript.whisperx[657].text |
好 我們謝謝羅志強委員的質詢接下來我們請陳穎委員進行質詢謝謝主席 我們請那個發展署蔡署長好 來 蔡署長委員好 |
transcript.whisperx[658].start |
17411.858 |
transcript.whisperx[658].end |
17423.586 |
transcript.whisperx[658].text |
署長好我們今天就這個引進印度籍勞工衛生出來的這個外籍勞工管理的問題我想我們再繼續請教那首先呢就是這個10萬名的這個數量的問題 |
transcript.whisperx[659].start |
17427.749 |
transcript.whisperx[659].end |
17442.989 |
transcript.whisperx[659].text |
當這個媒體報導要引進印度籍的勞工的時候呢第一時間就有提到10萬名這個數字那一開始也沒有看到你們有任何的駁斥那所以這件事情才會一直發酵起來嘛 |
transcript.whisperx[660].start |
17444.946 |
transcript.whisperx[660].end |
17466.209 |
transcript.whisperx[660].text |
那事實上本期觀察到的這個新聞回應其實我算了一下它是隔了4天之後你們才確認即將引進這個印度籍勞工而且上面根本就沒有10萬名的這個數字那也不是說一次就10萬名而是說逐步引進嘛 |
transcript.whisperx[661].start |
17467.53 |
transcript.whisperx[661].end |
17492.987 |
transcript.whisperx[661].text |
那也因此造成我們許多民眾的討論跟關注那我們來看一下這個簡報民國100年1月外籍勞工的人數就有38萬多了那最多的是印尼籍的勞工有將近16萬那到了今年的1月外籍勞工的人數已經高達75萬多人而且超過10萬人 |
transcript.whisperx[662].start |
17495.548 |
transcript.whisperx[662].end |
17522.859 |
transcript.whisperx[662].text |
10萬人數是有的超過10萬人的大概有菲律賓、越南還有這個印尼所以有關印度籍的勞工的新聞為什麼說到這個10萬名10萬名這個數字到底是怎麼來的是你們自己發布的嗎那如果不是的話你搖頭嗎不是啊是怎麼來的我很好奇啊大家都很好奇 |
transcript.whisperx[663].start |
17524.543 |
transcript.whisperx[663].end |
17551.372 |
transcript.whisperx[663].text |
跟委員報告因為其實我們跟印度在洽商因為MOU它只是一個框架裡面其實完全沒有提到未來要引進多少甚至它MOU其實有一條就是未來要引進的人數其實完全是由我們在決定那在當初去年底其實我們也有一點有一點大概對這樣的訊息發生有這樣的一個情形大概發現可能是有一些是不是有一些在新媒體上面有一些這種錯誤的一個傳播 |
transcript.whisperx[664].start |
17553.192 |
transcript.whisperx[664].end |
17569.991 |
transcript.whisperx[664].text |
所以初步的傳播還是你們裡面有人耗大喜功就自己看到然後覺得說新開發了這個新的國家然後就耗大喜功趕快公佈了這樣的一個訊息你要不要去查一下 |
transcript.whisperx[665].start |
17570.972 |
transcript.whisperx[665].end |
17590.991 |
transcript.whisperx[665].text |
絕對沒有因為事實上這個當初在討論過程其實我們一開始也是非常慎重完全也沒有對外做任何的一些相關的一些資訊我想今天提出這個問題也是讓你再次的說明啦所以也希望你們未來反應要快一點像這種簡單就可以說明的問題你還拖了四天啊 |
transcript.whisperx[666].start |
17594.875 |
transcript.whisperx[666].end |
17612.692 |
transcript.whisperx[666].text |
來再來就是第二個問題就是這個逃逸的這個快速增加牽扯出這個印度籍勞工不當的這個刻板印象那問題的這個本質其實還是回到這個2022年單一年度逃逸外籍勞工的這個大幅增加我們看一下這個簡報的數字 |
transcript.whisperx[667].start |
17616.635 |
transcript.whisperx[667].end |
17641.097 |
transcript.whisperx[667].text |
2022年的1月還在5萬多到了12月的時候就突破了8萬人那我們再看一下這個簡報因為本期長期都在未還委員會那過去我們這個逃逸的人數大概都維持在5萬多那但是到今年其實已經高達了這個8萬6千人了那其實在過去 |
transcript.whisperx[668].start |
17641.918 |
transcript.whisperx[668].end |
17645.301 |
transcript.whisperx[668].text |
我還記得那個時候的移民署的署長也就是這個前台北市警局的這個邱鋒光署長他那時候績效比現在好很多 |
transcript.whisperx[669].start |
17666.362 |
transcript.whisperx[669].end |
17671.296 |
transcript.whisperx[669].text |
因此我們實際的逃逸人數絕對不是我們現在看到的這個數字 |
transcript.whisperx[670].start |
17673.983 |
transcript.whisperx[670].end |
17694.436 |
transcript.whisperx[670].text |
我們應該要把每年逃逸的人數把它累積起來那不管後來有沒有被查獲才是我們應該重視的數據那假設我們10年前每年逃逸25000人你算一下10年下來就是25萬人我們都不是這樣這個統計數據都不是這樣子算給我們看但是我們應該要這樣算那另外 |
transcript.whisperx[671].start |
17701.465 |
transcript.whisperx[671].end |
17716.018 |
transcript.whisperx[671].text |
我們在那我就問你啦好最近5年我們每年逃逸的人次是怎麼樣署長你能不能說明那5年來實際累計逃逸了到底又有多少的這個 |
transcript.whisperx[672].start |
17717.119 |
transcript.whisperx[672].end |
17743.114 |
transcript.whisperx[672].text |
外籍勞工跟委員報告齁其實我們每一年這個逃役本來在疫情前就正如委員剛剛講其實都非常穩定就是在一個我們在一個管控的範圍內那主要是發生會來人數會跟現況會比較之下會偏高是疫情期間尤其在111年他那一年是特別飆高齁整個人數阿這個當然跟整個供需市場的影響 |
transcript.whisperx[673].start |
17743.254 |
transcript.whisperx[673].end |
17757.047 |
transcript.whisperx[673].text |
所以因為疫情讓人數飆高還是因為疫情我們為了要這個控制疫情我們有一些有一些宣導有一些誘因請大家出來自首 |
transcript.whisperx[674].start |
17758.883 |
transcript.whisperx[674].end |
17779.83 |
transcript.whisperx[674].text |
就是在疫情期間就是發生失聯的人數比較偏高就發生偏高那剛剛大概委員提到那個最近5年大概平均大概一年大概2萬多所以5年下來大概最近這5年大概是3萬是3萬人那查緝其實我們透過移民署的協助也查獲了10萬7千多人 |
transcript.whisperx[675].start |
17780.73 |
transcript.whisperx[675].end |
17793.419 |
transcript.whisperx[675].text |
你很誠實的累計講到13萬這個數據跟我統計的也是差不多所以我是給你肯定一下你有誠實其實13萬到15萬都有可能那因為最近我有注意到這個幾則新聞因為跟這個 |
transcript.whisperx[676].start |
17796.961 |
transcript.whisperx[676].end |
17825.481 |
transcript.whisperx[676].text |
外籍勞工的逃逸的原因有關就是有提到這個經濟因素勞動條件那還有雇主不當的對待以及這個疫情的邊境的管制都有相關但是你有沒有想過它一整個它是一個系統性的問題而且它每一個單一的這個原因那對其他的原因它整個加起來連貫起來它都有一個加成的加成的這個效果 |
transcript.whisperx[677].start |
17826.53 |
transcript.whisperx[677].end |
17830.994 |
transcript.whisperx[677].text |
每年在回顧當年我們在審查救福法52條取消3年出國儀式的條文 |
transcript.whisperx[678].start |
17845.506 |
transcript.whisperx[678].end |
17866.481 |
transcript.whisperx[678].text |
當時你們勞動部信誓旦旦的保證說這個逃逸的這個外籍勞工的人數將會減少結果事實恰恰相反那這件事情到底誰要負責難道是當時的我們緬懷的這個郭芳玉部長嗎他可以為這件事負責嗎 |
transcript.whisperx[679].start |
17869.599 |
transcript.whisperx[679].end |
17895.517 |
transcript.whisperx[679].text |
阿如果就是說我只知道說好如果本來我出國打拼那每三年可以回家團聚一次顧主提供假期跟這個機票給我那對於安定我的這個工作我的這個內心跟這個鼓勵其實就是一個很重要的一個支持嘛那但是就是說現在說就算 |
transcript.whisperx[680].start |
17897.571 |
transcript.whisperx[680].end |
17903.367 |
transcript.whisperx[680].text |
他們三年好回去母國休假之後呢他違約不回來了 |
transcript.whisperx[681].start |
17904.309 |
transcript.whisperx[681].end |
17928.516 |
transcript.whisperx[681].text |
那不回來他也不會留在台灣阿那也不會產生說更多的就是之後的這個社會問題嘛那我們台灣政府也不用再花更多的人力還有經費去處理我們國內這個外籍勞工逃逸的問題嘛所以這個就是之前這個修法前修法後的一個很大的差異提供給你參考阿謝謝委員 |
transcript.whisperx[682].start |
17929.296 |
transcript.whisperx[682].end |
17953.128 |
transcript.whisperx[682].text |
最後我要提的是安置的問題救福法的地方主管機關明明就是地方政府我們的兒童、婦女一般如果受到家暴的時候也都是透過地方政府的設政單位來安置為什麼我們的外籍勞工的安置不能補助地方政府來辦理 |
transcript.whisperx[683].start |
17954.409 |
transcript.whisperx[683].end |
17975.721 |
transcript.whisperx[683].text |
然後我想就是說這個地方政府如果接到通報那他們不就可以及時來安置了嗎那而且他們也可以同時進行必要的這個處理而且也沒有說沒有這個動機或者誘因為了說是不是怎麼樣然後來多收這個安置費而鼓勵勞資雙方來對立 |
transcript.whisperx[684].start |
17979.163 |
transcript.whisperx[684].end |
17981.724 |
transcript.whisperx[684].text |
發展署支持由地方政府機關來負責安置工作? |
transcript.whisperx[685].start |
17997.65 |
transcript.whisperx[685].end |
18022.61 |
transcript.whisperx[685].text |
這一點我們非常認同因為地方政府其實安置會比較方便就是就地安置盡量避免發生因為沒有安置地點而造成跨縣市這樣的移動那我想我對你有很深的期待看你來怎麼樣改變這個很畸形的現象那所以今天的質詢我們主要就是說這個針對印度外籍勞工引進將來可能會發生的問題先做一個提醒 |
transcript.whisperx[686].start |
18023.391 |
transcript.whisperx[686].end |
18052.339 |
transcript.whisperx[686].text |
也期許說勞動部未來對於這個新聞的回應可以快速掌握核心的問題那同時可以加強這個逃逸的控管然後還有剛剛很重要的提醒改進這個安置衍生的問題謝謝好謝謝委員好謝謝陳英委員的質詢接下來我們請核心城核心城核心城委員不在王宏威王宏威王宏威委員不在鄭天才鄭天才鄭天才委員不在 |
transcript.whisperx[687].start |
18053.36 |
transcript.whisperx[687].end |
18078.575 |
transcript.whisperx[687].text |
陳冠廷陳冠廷陳冠廷委員不在王美惠王美惠王美惠委員不在徐巧欣徐巧欣徐巧欣委員不在鍾嘉斌鍾嘉斌鍾嘉斌委員不在林楚英林楚英林楚英委員不在本日會議詢答全部結束委員王宏威所提書面質詢列入記錄刊登公報 |
transcript.whisperx[688].start |
18083.68 |
transcript.whisperx[688].end |
18100.891 |
transcript.whisperx[688].text |
好那剛剛有一個靈體這個本席提出來的靈體文字修正這個已經通過就是已經送給那個議事人員那就按修正的文字通過本席也已經有連署好那就是 |
transcript.whisperx[689].start |
18101.96 |
transcript.whisperx[689].end |
18119.868 |
transcript.whisperx[689].text |
第三案通過現在做以下決定報告及詢答完畢委員質詢未及答覆或請補充資料者請相關機關於兩週內以書面答覆委員另要求期限者從其鎖定本次會議到此結束現在散會 |