video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd20f6709a214df6ef9e564336fc7700a1083084566cc2bdb4d1f5bcaae46f48b35ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-11-04T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期交通委員會第8次全體委員會議(事由:一、邀請交通部部長陳世凱、交通部觀光署署長、交通部民用航空局局長、交通部航港局局長、國營臺灣鐵路股份有限公司董事長、台灣高速鐵路股份有限公司董事長、桃園國際機場股份有限公司董事長、臺灣港務股份有限公司董事長、外交部、內政部國家公園署、農業部林業及自然保育署及行政院消費者保護處就「如何提升國外旅客來台觀光人數暨優化國旅體驗及降低旅遊消費爭議」進行專題報告,並備質詢。二、邀請交通部觀光署署長、交通部公路局局長、交通部高速公路局局長、國營臺灣鐵路股份有限公司董事長、台灣高速鐵路股份有限公司董事長及桃園國際機場股份有限公司董事長就「2025台灣燈會辦理情形暨交通疏運方案」進行專題報告,並備質詢。) |
委員名稱 |
完整會議 |
影片長度 |
18746 |
委員發言時間 |
08:30:34 - 13:43:00 |
transcript.pyannote[0].speaker |
SPEAKER_04 |
transcript.pyannote[0].start |
1800.18846875 |
transcript.pyannote[0].end |
1803.61409375 |
transcript.pyannote[1].speaker |
SPEAKER_04 |
transcript.pyannote[1].start |
1804.33971875 |
transcript.pyannote[1].end |
1805.84159375 |
transcript.pyannote[2].speaker |
SPEAKER_04 |
transcript.pyannote[2].start |
1806.21284375 |
transcript.pyannote[2].end |
1809.31784375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
1811.17409375 |
transcript.pyannote[3].end |
1824.91034375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
1820.65784375 |
transcript.pyannote[4].end |
1820.79284375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
1825.26471875 |
transcript.pyannote[5].end |
1835.30534375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
1835.62596875 |
transcript.pyannote[6].end |
1845.48096875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
1845.68346875 |
transcript.pyannote[7].end |
1853.46284375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
1853.83409375 |
transcript.pyannote[8].end |
1868.04284375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
1868.71784375 |
transcript.pyannote[9].end |
1879.39971875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
1879.53471875 |
transcript.pyannote[10].end |
1881.77909375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
1881.98159375 |
transcript.pyannote[11].end |
1891.00971875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
1891.46534375 |
transcript.pyannote[12].end |
1896.32534375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
1896.57846875 |
transcript.pyannote[13].end |
1899.70034375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
1900.12221875 |
transcript.pyannote[14].end |
1904.86409375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
1905.10034375 |
transcript.pyannote[15].end |
1907.00721875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
1907.31096875 |
transcript.pyannote[16].end |
1912.89659375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
1913.21721875 |
transcript.pyannote[17].end |
1914.51659375 |
transcript.pyannote[18].speaker |
SPEAKER_04 |
transcript.pyannote[18].start |
1918.60034375 |
transcript.pyannote[18].end |
1924.84409375 |
transcript.pyannote[19].speaker |
SPEAKER_04 |
transcript.pyannote[19].start |
1926.21096875 |
transcript.pyannote[19].end |
1930.09221875 |
transcript.pyannote[20].speaker |
SPEAKER_04 |
transcript.pyannote[20].start |
1930.81784375 |
transcript.pyannote[20].end |
1932.04971875 |
transcript.pyannote[21].speaker |
SPEAKER_04 |
transcript.pyannote[21].start |
1932.10034375 |
transcript.pyannote[21].end |
1933.07909375 |
transcript.pyannote[22].speaker |
SPEAKER_04 |
transcript.pyannote[22].start |
1935.76221875 |
transcript.pyannote[22].end |
1937.39909375 |
transcript.pyannote[23].speaker |
SPEAKER_04 |
transcript.pyannote[23].start |
1938.36096875 |
transcript.pyannote[23].end |
1939.20471875 |
transcript.pyannote[24].speaker |
SPEAKER_04 |
transcript.pyannote[24].start |
1940.57159375 |
transcript.pyannote[24].end |
1943.11971875 |
transcript.pyannote[25].speaker |
SPEAKER_04 |
transcript.pyannote[25].start |
1945.22909375 |
transcript.pyannote[25].end |
1946.08971875 |
transcript.pyannote[26].speaker |
SPEAKER_04 |
transcript.pyannote[26].start |
1946.27534375 |
transcript.pyannote[26].end |
1947.22034375 |
transcript.pyannote[27].speaker |
SPEAKER_04 |
transcript.pyannote[27].start |
1948.33409375 |
transcript.pyannote[27].end |
1948.60409375 |
transcript.pyannote[28].speaker |
SPEAKER_04 |
transcript.pyannote[28].start |
1949.51534375 |
transcript.pyannote[28].end |
1949.71784375 |
transcript.pyannote[29].speaker |
SPEAKER_04 |
transcript.pyannote[29].start |
1949.98784375 |
transcript.pyannote[29].end |
1952.06346875 |
transcript.pyannote[30].speaker |
SPEAKER_04 |
transcript.pyannote[30].start |
1953.66659375 |
transcript.pyannote[30].end |
1955.42159375 |
transcript.pyannote[31].speaker |
SPEAKER_04 |
transcript.pyannote[31].start |
1957.85159375 |
transcript.pyannote[31].end |
1958.12159375 |
transcript.pyannote[32].speaker |
SPEAKER_04 |
transcript.pyannote[32].start |
1958.59409375 |
transcript.pyannote[32].end |
1960.50096875 |
transcript.pyannote[33].speaker |
SPEAKER_04 |
transcript.pyannote[33].start |
1962.79596875 |
transcript.pyannote[33].end |
1964.17971875 |
transcript.pyannote[34].speaker |
SPEAKER_04 |
transcript.pyannote[34].start |
1964.44971875 |
transcript.pyannote[34].end |
1964.80409375 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
1966.50846875 |
transcript.pyannote[35].end |
1968.28034375 |
transcript.pyannote[36].speaker |
SPEAKER_04 |
transcript.pyannote[36].start |
1971.38534375 |
transcript.pyannote[36].end |
1973.34284375 |
transcript.pyannote[37].speaker |
SPEAKER_04 |
transcript.pyannote[37].start |
1975.04721875 |
transcript.pyannote[37].end |
1976.78534375 |
transcript.pyannote[38].speaker |
SPEAKER_04 |
transcript.pyannote[38].start |
1979.46846875 |
transcript.pyannote[38].end |
1981.30784375 |
transcript.pyannote[39].speaker |
SPEAKER_04 |
transcript.pyannote[39].start |
1984.39596875 |
transcript.pyannote[39].end |
1985.25659375 |
transcript.pyannote[40].speaker |
SPEAKER_04 |
transcript.pyannote[40].start |
1985.44221875 |
transcript.pyannote[40].end |
1986.23534375 |
transcript.pyannote[41].speaker |
SPEAKER_04 |
transcript.pyannote[41].start |
1987.02846875 |
transcript.pyannote[41].end |
1987.53471875 |
transcript.pyannote[42].speaker |
SPEAKER_04 |
transcript.pyannote[42].start |
1989.20534375 |
transcript.pyannote[42].end |
1990.33596875 |
transcript.pyannote[43].speaker |
SPEAKER_04 |
transcript.pyannote[43].start |
1990.89284375 |
transcript.pyannote[43].end |
1992.07409375 |
transcript.pyannote[44].speaker |
SPEAKER_04 |
transcript.pyannote[44].start |
1995.44909375 |
transcript.pyannote[44].end |
1995.80346875 |
transcript.pyannote[45].speaker |
SPEAKER_04 |
transcript.pyannote[45].start |
1996.86659375 |
transcript.pyannote[45].end |
1997.64284375 |
transcript.pyannote[46].speaker |
SPEAKER_04 |
transcript.pyannote[46].start |
1998.03096875 |
transcript.pyannote[46].end |
1999.29659375 |
transcript.pyannote[47].speaker |
SPEAKER_04 |
transcript.pyannote[47].start |
2000.10659375 |
transcript.pyannote[47].end |
2000.69721875 |
transcript.pyannote[48].speaker |
SPEAKER_04 |
transcript.pyannote[48].start |
2001.60846875 |
transcript.pyannote[48].end |
2006.99159375 |
transcript.pyannote[49].speaker |
SPEAKER_04 |
transcript.pyannote[49].start |
2007.61596875 |
transcript.pyannote[49].end |
2010.78846875 |
transcript.pyannote[50].speaker |
SPEAKER_04 |
transcript.pyannote[50].start |
2011.22721875 |
transcript.pyannote[50].end |
2012.29034375 |
transcript.pyannote[51].speaker |
SPEAKER_04 |
transcript.pyannote[51].start |
2013.26909375 |
transcript.pyannote[51].end |
2014.21409375 |
transcript.pyannote[52].speaker |
SPEAKER_04 |
transcript.pyannote[52].start |
2015.80034375 |
transcript.pyannote[52].end |
2016.94784375 |
transcript.pyannote[53].speaker |
SPEAKER_04 |
transcript.pyannote[53].start |
2017.23471875 |
transcript.pyannote[53].end |
2018.23034375 |
transcript.pyannote[54].speaker |
SPEAKER_04 |
transcript.pyannote[54].start |
2019.46221875 |
transcript.pyannote[54].end |
2020.28909375 |
transcript.pyannote[55].speaker |
SPEAKER_04 |
transcript.pyannote[55].start |
2021.85846875 |
transcript.pyannote[55].end |
2022.90471875 |
transcript.pyannote[56].speaker |
SPEAKER_04 |
transcript.pyannote[56].start |
2023.42784375 |
transcript.pyannote[56].end |
2024.57534375 |
transcript.pyannote[57].speaker |
SPEAKER_04 |
transcript.pyannote[57].start |
2027.56221875 |
transcript.pyannote[57].end |
2028.65909375 |
transcript.pyannote[58].speaker |
SPEAKER_04 |
transcript.pyannote[58].start |
2029.72221875 |
transcript.pyannote[58].end |
2031.03846875 |
transcript.pyannote[59].speaker |
SPEAKER_04 |
transcript.pyannote[59].start |
2031.54471875 |
transcript.pyannote[59].end |
2032.72596875 |
transcript.pyannote[60].speaker |
SPEAKER_04 |
transcript.pyannote[60].start |
2033.82284375 |
transcript.pyannote[60].end |
2035.27409375 |
transcript.pyannote[61].speaker |
SPEAKER_04 |
transcript.pyannote[61].start |
2035.49346875 |
transcript.pyannote[61].end |
2037.06284375 |
transcript.pyannote[62].speaker |
SPEAKER_04 |
transcript.pyannote[62].start |
2037.58596875 |
transcript.pyannote[62].end |
2038.42971875 |
transcript.pyannote[63].speaker |
SPEAKER_04 |
transcript.pyannote[63].start |
2039.83034375 |
transcript.pyannote[63].end |
2042.61471875 |
transcript.pyannote[64].speaker |
SPEAKER_04 |
transcript.pyannote[64].start |
2043.18846875 |
transcript.pyannote[64].end |
2044.75784375 |
transcript.pyannote[65].speaker |
SPEAKER_04 |
transcript.pyannote[65].start |
2045.56784375 |
transcript.pyannote[65].end |
2046.31034375 |
transcript.pyannote[66].speaker |
SPEAKER_04 |
transcript.pyannote[66].start |
2048.01471875 |
transcript.pyannote[66].end |
2051.35596875 |
transcript.pyannote[67].speaker |
SPEAKER_04 |
transcript.pyannote[67].start |
2052.04784375 |
transcript.pyannote[67].end |
2052.68909375 |
transcript.pyannote[68].speaker |
SPEAKER_04 |
transcript.pyannote[68].start |
2055.57471875 |
transcript.pyannote[68].end |
2059.27034375 |
transcript.pyannote[69].speaker |
SPEAKER_04 |
transcript.pyannote[69].start |
2059.54034375 |
transcript.pyannote[69].end |
2061.64971875 |
transcript.pyannote[70].speaker |
SPEAKER_04 |
transcript.pyannote[70].start |
2063.53971875 |
transcript.pyannote[70].end |
2065.80096875 |
transcript.pyannote[71].speaker |
SPEAKER_04 |
transcript.pyannote[71].start |
2069.22659375 |
transcript.pyannote[71].end |
2070.84659375 |
transcript.pyannote[72].speaker |
SPEAKER_04 |
transcript.pyannote[72].start |
2071.30221875 |
transcript.pyannote[72].end |
2071.65659375 |
transcript.pyannote[73].speaker |
SPEAKER_04 |
transcript.pyannote[73].start |
2072.09534375 |
transcript.pyannote[73].end |
2073.25971875 |
transcript.pyannote[74].speaker |
SPEAKER_04 |
transcript.pyannote[74].start |
2073.52971875 |
transcript.pyannote[74].end |
2078.13659375 |
transcript.pyannote[75].speaker |
SPEAKER_04 |
transcript.pyannote[75].start |
2078.25471875 |
transcript.pyannote[75].end |
2080.36409375 |
transcript.pyannote[76].speaker |
SPEAKER_04 |
transcript.pyannote[76].start |
2081.07284375 |
transcript.pyannote[76].end |
2088.16034375 |
transcript.pyannote[77].speaker |
SPEAKER_04 |
transcript.pyannote[77].start |
2088.59909375 |
transcript.pyannote[77].end |
2092.29471875 |
transcript.pyannote[78].speaker |
SPEAKER_04 |
transcript.pyannote[78].start |
2092.46346875 |
transcript.pyannote[78].end |
2093.72909375 |
transcript.pyannote[79].speaker |
SPEAKER_18 |
transcript.pyannote[79].start |
2101.79534375 |
transcript.pyannote[79].end |
2116.72971875 |
transcript.pyannote[80].speaker |
SPEAKER_18 |
transcript.pyannote[80].start |
2117.20221875 |
transcript.pyannote[80].end |
2128.64346875 |
transcript.pyannote[81].speaker |
SPEAKER_18 |
transcript.pyannote[81].start |
2129.18346875 |
transcript.pyannote[81].end |
2130.39846875 |
transcript.pyannote[82].speaker |
SPEAKER_18 |
transcript.pyannote[82].start |
2130.95534375 |
transcript.pyannote[82].end |
2132.20409375 |
transcript.pyannote[83].speaker |
SPEAKER_18 |
transcript.pyannote[83].start |
2132.55846875 |
transcript.pyannote[83].end |
2137.04721875 |
transcript.pyannote[84].speaker |
SPEAKER_18 |
transcript.pyannote[84].start |
2137.40159375 |
transcript.pyannote[84].end |
2139.42659375 |
transcript.pyannote[85].speaker |
SPEAKER_18 |
transcript.pyannote[85].start |
2139.47721875 |
transcript.pyannote[85].end |
2146.66596875 |
transcript.pyannote[86].speaker |
SPEAKER_18 |
transcript.pyannote[86].start |
2147.91471875 |
transcript.pyannote[86].end |
2152.16721875 |
transcript.pyannote[87].speaker |
SPEAKER_18 |
transcript.pyannote[87].start |
2152.89284375 |
transcript.pyannote[87].end |
2162.08971875 |
transcript.pyannote[88].speaker |
SPEAKER_18 |
transcript.pyannote[88].start |
2162.20784375 |
transcript.pyannote[88].end |
2167.00034375 |
transcript.pyannote[89].speaker |
SPEAKER_18 |
transcript.pyannote[89].start |
2168.85659375 |
transcript.pyannote[89].end |
2181.05721875 |
transcript.pyannote[90].speaker |
SPEAKER_18 |
transcript.pyannote[90].start |
2182.23846875 |
transcript.pyannote[90].end |
2197.17284375 |
transcript.pyannote[91].speaker |
SPEAKER_18 |
transcript.pyannote[91].start |
2197.96596875 |
transcript.pyannote[91].end |
2202.67409375 |
transcript.pyannote[92].speaker |
SPEAKER_18 |
transcript.pyannote[92].start |
2202.97784375 |
transcript.pyannote[92].end |
2203.83846875 |
transcript.pyannote[93].speaker |
SPEAKER_18 |
transcript.pyannote[93].start |
2203.97346875 |
transcript.pyannote[93].end |
2210.30159375 |
transcript.pyannote[94].speaker |
SPEAKER_18 |
transcript.pyannote[94].start |
2210.43659375 |
transcript.pyannote[94].end |
2213.62596875 |
transcript.pyannote[95].speaker |
SPEAKER_18 |
transcript.pyannote[95].start |
2214.36846875 |
transcript.pyannote[95].end |
2219.14409375 |
transcript.pyannote[96].speaker |
SPEAKER_18 |
transcript.pyannote[96].start |
2219.48159375 |
transcript.pyannote[96].end |
2225.38784375 |
transcript.pyannote[97].speaker |
SPEAKER_18 |
transcript.pyannote[97].start |
2225.82659375 |
transcript.pyannote[97].end |
2231.20971875 |
transcript.pyannote[98].speaker |
SPEAKER_18 |
transcript.pyannote[98].start |
2232.47534375 |
transcript.pyannote[98].end |
2238.09471875 |
transcript.pyannote[99].speaker |
SPEAKER_18 |
transcript.pyannote[99].start |
2238.22971875 |
transcript.pyannote[99].end |
2244.50721875 |
transcript.pyannote[100].speaker |
SPEAKER_18 |
transcript.pyannote[100].start |
2244.76034375 |
transcript.pyannote[100].end |
2247.19034375 |
transcript.pyannote[101].speaker |
SPEAKER_18 |
transcript.pyannote[101].start |
2247.40971875 |
transcript.pyannote[101].end |
2248.87784375 |
transcript.pyannote[102].speaker |
SPEAKER_18 |
transcript.pyannote[102].start |
2249.33346875 |
transcript.pyannote[102].end |
2250.36284375 |
transcript.pyannote[103].speaker |
SPEAKER_18 |
transcript.pyannote[103].start |
2250.73409375 |
transcript.pyannote[103].end |
2251.22346875 |
transcript.pyannote[104].speaker |
SPEAKER_18 |
transcript.pyannote[104].start |
2251.49346875 |
transcript.pyannote[104].end |
2252.75909375 |
transcript.pyannote[105].speaker |
SPEAKER_18 |
transcript.pyannote[105].start |
2252.89409375 |
transcript.pyannote[105].end |
2254.86846875 |
transcript.pyannote[106].speaker |
SPEAKER_18 |
transcript.pyannote[106].start |
2255.66159375 |
transcript.pyannote[106].end |
2264.80784375 |
transcript.pyannote[107].speaker |
SPEAKER_18 |
transcript.pyannote[107].start |
2265.41534375 |
transcript.pyannote[107].end |
2277.97034375 |
transcript.pyannote[108].speaker |
SPEAKER_18 |
transcript.pyannote[108].start |
2278.57784375 |
transcript.pyannote[108].end |
2287.69034375 |
transcript.pyannote[109].speaker |
SPEAKER_18 |
transcript.pyannote[109].start |
2288.41596875 |
transcript.pyannote[109].end |
2289.83346875 |
transcript.pyannote[110].speaker |
SPEAKER_18 |
transcript.pyannote[110].start |
2289.86721875 |
transcript.pyannote[110].end |
2296.39784375 |
transcript.pyannote[111].speaker |
SPEAKER_09 |
transcript.pyannote[111].start |
2305.07159375 |
transcript.pyannote[111].end |
2308.83471875 |
transcript.pyannote[112].speaker |
SPEAKER_09 |
transcript.pyannote[112].start |
2309.17221875 |
transcript.pyannote[112].end |
2318.43659375 |
transcript.pyannote[113].speaker |
SPEAKER_09 |
transcript.pyannote[113].start |
2318.65596875 |
transcript.pyannote[113].end |
2319.98909375 |
transcript.pyannote[114].speaker |
SPEAKER_09 |
transcript.pyannote[114].start |
2320.15784375 |
transcript.pyannote[114].end |
2324.78159375 |
transcript.pyannote[115].speaker |
SPEAKER_09 |
transcript.pyannote[115].start |
2325.60846875 |
transcript.pyannote[115].end |
2329.70909375 |
transcript.pyannote[116].speaker |
SPEAKER_09 |
transcript.pyannote[116].start |
2330.35034375 |
transcript.pyannote[116].end |
2335.59846875 |
transcript.pyannote[117].speaker |
SPEAKER_09 |
transcript.pyannote[117].start |
2336.83034375 |
transcript.pyannote[117].end |
2338.02846875 |
transcript.pyannote[118].speaker |
SPEAKER_09 |
transcript.pyannote[118].start |
2338.87221875 |
transcript.pyannote[118].end |
2346.71909375 |
transcript.pyannote[119].speaker |
SPEAKER_09 |
transcript.pyannote[119].start |
2347.27596875 |
transcript.pyannote[119].end |
2352.91221875 |
transcript.pyannote[120].speaker |
SPEAKER_09 |
transcript.pyannote[120].start |
2353.11471875 |
transcript.pyannote[120].end |
2356.74284375 |
transcript.pyannote[121].speaker |
SPEAKER_09 |
transcript.pyannote[121].start |
2357.48534375 |
transcript.pyannote[121].end |
2361.40034375 |
transcript.pyannote[122].speaker |
SPEAKER_09 |
transcript.pyannote[122].start |
2362.51409375 |
transcript.pyannote[122].end |
2364.08346875 |
transcript.pyannote[123].speaker |
SPEAKER_09 |
transcript.pyannote[123].start |
2364.31971875 |
transcript.pyannote[123].end |
2372.70659375 |
transcript.pyannote[124].speaker |
SPEAKER_09 |
transcript.pyannote[124].start |
2373.04409375 |
transcript.pyannote[124].end |
2373.70221875 |
transcript.pyannote[125].speaker |
SPEAKER_09 |
transcript.pyannote[125].start |
2373.95534375 |
transcript.pyannote[125].end |
2378.59596875 |
transcript.pyannote[126].speaker |
SPEAKER_09 |
transcript.pyannote[126].start |
2379.06846875 |
transcript.pyannote[126].end |
2380.63784375 |
transcript.pyannote[127].speaker |
SPEAKER_09 |
transcript.pyannote[127].start |
2380.84034375 |
transcript.pyannote[127].end |
2384.51909375 |
transcript.pyannote[128].speaker |
SPEAKER_09 |
transcript.pyannote[128].start |
2385.14346875 |
transcript.pyannote[128].end |
2392.92284375 |
transcript.pyannote[129].speaker |
SPEAKER_09 |
transcript.pyannote[129].start |
2393.96909375 |
transcript.pyannote[129].end |
2397.10784375 |
transcript.pyannote[130].speaker |
SPEAKER_09 |
transcript.pyannote[130].start |
2397.96846875 |
transcript.pyannote[130].end |
2402.54159375 |
transcript.pyannote[131].speaker |
SPEAKER_09 |
transcript.pyannote[131].start |
2403.99284375 |
transcript.pyannote[131].end |
2408.11034375 |
transcript.pyannote[132].speaker |
SPEAKER_09 |
transcript.pyannote[132].start |
2408.83596875 |
transcript.pyannote[132].end |
2409.56159375 |
transcript.pyannote[133].speaker |
SPEAKER_09 |
transcript.pyannote[133].start |
2410.06784375 |
transcript.pyannote[133].end |
2412.75096875 |
transcript.pyannote[134].speaker |
SPEAKER_09 |
transcript.pyannote[134].start |
2413.54409375 |
transcript.pyannote[134].end |
2415.09659375 |
transcript.pyannote[135].speaker |
SPEAKER_09 |
transcript.pyannote[135].start |
2415.48471875 |
transcript.pyannote[135].end |
2416.71659375 |
transcript.pyannote[136].speaker |
SPEAKER_09 |
transcript.pyannote[136].start |
2417.12159375 |
transcript.pyannote[136].end |
2424.41159375 |
transcript.pyannote[137].speaker |
SPEAKER_09 |
transcript.pyannote[137].start |
2424.90096875 |
transcript.pyannote[137].end |
2431.09409375 |
transcript.pyannote[138].speaker |
SPEAKER_09 |
transcript.pyannote[138].start |
2431.53284375 |
transcript.pyannote[138].end |
2437.50659375 |
transcript.pyannote[139].speaker |
SPEAKER_09 |
transcript.pyannote[139].start |
2438.28284375 |
transcript.pyannote[139].end |
2439.22784375 |
transcript.pyannote[140].speaker |
SPEAKER_09 |
transcript.pyannote[140].start |
2439.39659375 |
transcript.pyannote[140].end |
2442.19784375 |
transcript.pyannote[141].speaker |
SPEAKER_09 |
transcript.pyannote[141].start |
2442.85596875 |
transcript.pyannote[141].end |
2444.50971875 |
transcript.pyannote[142].speaker |
SPEAKER_09 |
transcript.pyannote[142].start |
2445.11721875 |
transcript.pyannote[142].end |
2451.88409375 |
transcript.pyannote[143].speaker |
SPEAKER_09 |
transcript.pyannote[143].start |
2452.23846875 |
transcript.pyannote[143].end |
2453.74034375 |
transcript.pyannote[144].speaker |
SPEAKER_09 |
transcript.pyannote[144].start |
2454.36471875 |
transcript.pyannote[144].end |
2456.82846875 |
transcript.pyannote[145].speaker |
SPEAKER_09 |
transcript.pyannote[145].start |
2457.58784375 |
transcript.pyannote[145].end |
2458.41471875 |
transcript.pyannote[146].speaker |
SPEAKER_09 |
transcript.pyannote[146].start |
2458.63409375 |
transcript.pyannote[146].end |
2462.16096875 |
transcript.pyannote[147].speaker |
SPEAKER_09 |
transcript.pyannote[147].start |
2462.71784375 |
transcript.pyannote[147].end |
2464.65846875 |
transcript.pyannote[148].speaker |
SPEAKER_09 |
transcript.pyannote[148].start |
2464.91159375 |
transcript.pyannote[148].end |
2465.16471875 |
transcript.pyannote[149].speaker |
SPEAKER_09 |
transcript.pyannote[149].start |
2465.55284375 |
transcript.pyannote[149].end |
2467.34159375 |
transcript.pyannote[150].speaker |
SPEAKER_09 |
transcript.pyannote[150].start |
2467.91534375 |
transcript.pyannote[150].end |
2472.55596875 |
transcript.pyannote[151].speaker |
SPEAKER_09 |
transcript.pyannote[151].start |
2472.99471875 |
transcript.pyannote[151].end |
2482.96784375 |
transcript.pyannote[152].speaker |
SPEAKER_09 |
transcript.pyannote[152].start |
2483.47409375 |
transcript.pyannote[152].end |
2489.27909375 |
transcript.pyannote[153].speaker |
SPEAKER_09 |
transcript.pyannote[153].start |
2489.68409375 |
transcript.pyannote[153].end |
2490.34221875 |
transcript.pyannote[154].speaker |
SPEAKER_09 |
transcript.pyannote[154].start |
2491.86096875 |
transcript.pyannote[154].end |
2495.40471875 |
transcript.pyannote[155].speaker |
SPEAKER_09 |
transcript.pyannote[155].start |
2495.69159375 |
transcript.pyannote[155].end |
2503.43721875 |
transcript.pyannote[156].speaker |
SPEAKER_09 |
transcript.pyannote[156].start |
2504.11221875 |
transcript.pyannote[156].end |
2506.67721875 |
transcript.pyannote[157].speaker |
SPEAKER_09 |
transcript.pyannote[157].start |
2507.01471875 |
transcript.pyannote[157].end |
2509.59659375 |
transcript.pyannote[158].speaker |
SPEAKER_09 |
transcript.pyannote[158].start |
2510.23784375 |
transcript.pyannote[158].end |
2511.43596875 |
transcript.pyannote[159].speaker |
SPEAKER_09 |
transcript.pyannote[159].start |
2511.70596875 |
transcript.pyannote[159].end |
2520.39659375 |
transcript.pyannote[160].speaker |
SPEAKER_09 |
transcript.pyannote[160].start |
2521.18971875 |
transcript.pyannote[160].end |
2526.97784375 |
transcript.pyannote[161].speaker |
SPEAKER_09 |
transcript.pyannote[161].start |
2527.23096875 |
transcript.pyannote[161].end |
2528.66534375 |
transcript.pyannote[162].speaker |
SPEAKER_09 |
transcript.pyannote[162].start |
2529.52596875 |
transcript.pyannote[162].end |
2555.59784375 |
transcript.pyannote[163].speaker |
SPEAKER_09 |
transcript.pyannote[163].start |
2556.57659375 |
transcript.pyannote[163].end |
2560.67721875 |
transcript.pyannote[164].speaker |
SPEAKER_09 |
transcript.pyannote[164].start |
2560.89659375 |
transcript.pyannote[164].end |
2562.04409375 |
transcript.pyannote[165].speaker |
SPEAKER_09 |
transcript.pyannote[165].start |
2562.55034375 |
transcript.pyannote[165].end |
2564.22096875 |
transcript.pyannote[166].speaker |
SPEAKER_09 |
transcript.pyannote[166].start |
2564.49096875 |
transcript.pyannote[166].end |
2568.91221875 |
transcript.pyannote[167].speaker |
SPEAKER_09 |
transcript.pyannote[167].start |
2569.41846875 |
transcript.pyannote[167].end |
2571.89909375 |
transcript.pyannote[168].speaker |
SPEAKER_09 |
transcript.pyannote[168].start |
2572.16909375 |
transcript.pyannote[168].end |
2572.92846875 |
transcript.pyannote[169].speaker |
SPEAKER_09 |
transcript.pyannote[169].start |
2572.99596875 |
transcript.pyannote[169].end |
2580.84284375 |
transcript.pyannote[170].speaker |
SPEAKER_09 |
transcript.pyannote[170].start |
2581.21409375 |
transcript.pyannote[170].end |
2584.75784375 |
transcript.pyannote[171].speaker |
SPEAKER_09 |
transcript.pyannote[171].start |
2584.84221875 |
transcript.pyannote[171].end |
2588.77409375 |
transcript.pyannote[172].speaker |
SPEAKER_09 |
transcript.pyannote[172].start |
2589.41534375 |
transcript.pyannote[172].end |
2598.10596875 |
transcript.pyannote[173].speaker |
SPEAKER_09 |
transcript.pyannote[173].start |
2599.23659375 |
transcript.pyannote[173].end |
2604.90659375 |
transcript.pyannote[174].speaker |
SPEAKER_09 |
transcript.pyannote[174].start |
2605.34534375 |
transcript.pyannote[174].end |
2609.24346875 |
transcript.pyannote[175].speaker |
SPEAKER_09 |
transcript.pyannote[175].start |
2609.83409375 |
transcript.pyannote[175].end |
2612.07846875 |
transcript.pyannote[176].speaker |
SPEAKER_09 |
transcript.pyannote[176].start |
2612.80409375 |
transcript.pyannote[176].end |
2620.88721875 |
transcript.pyannote[177].speaker |
SPEAKER_09 |
transcript.pyannote[177].start |
2621.59596875 |
transcript.pyannote[177].end |
2622.64221875 |
transcript.pyannote[178].speaker |
SPEAKER_09 |
transcript.pyannote[178].start |
2623.19909375 |
transcript.pyannote[178].end |
2626.01721875 |
transcript.pyannote[179].speaker |
SPEAKER_09 |
transcript.pyannote[179].start |
2626.57409375 |
transcript.pyannote[179].end |
2627.08034375 |
transcript.pyannote[180].speaker |
SPEAKER_09 |
transcript.pyannote[180].start |
2627.23221875 |
transcript.pyannote[180].end |
2630.77596875 |
transcript.pyannote[181].speaker |
SPEAKER_09 |
transcript.pyannote[181].start |
2630.96159375 |
transcript.pyannote[181].end |
2632.42971875 |
transcript.pyannote[182].speaker |
SPEAKER_09 |
transcript.pyannote[182].start |
2633.13846875 |
transcript.pyannote[182].end |
2633.76284375 |
transcript.pyannote[183].speaker |
SPEAKER_09 |
transcript.pyannote[183].start |
2634.45471875 |
transcript.pyannote[183].end |
2643.95534375 |
transcript.pyannote[184].speaker |
SPEAKER_09 |
transcript.pyannote[184].start |
2644.54596875 |
transcript.pyannote[184].end |
2647.34721875 |
transcript.pyannote[185].speaker |
SPEAKER_09 |
transcript.pyannote[185].start |
2647.88721875 |
transcript.pyannote[185].end |
2648.69721875 |
transcript.pyannote[186].speaker |
SPEAKER_09 |
transcript.pyannote[186].start |
2649.03471875 |
transcript.pyannote[186].end |
2649.82784375 |
transcript.pyannote[187].speaker |
SPEAKER_09 |
transcript.pyannote[187].start |
2650.51971875 |
transcript.pyannote[187].end |
2654.21534375 |
transcript.pyannote[188].speaker |
SPEAKER_09 |
transcript.pyannote[188].start |
2654.68784375 |
transcript.pyannote[188].end |
2658.28221875 |
transcript.pyannote[189].speaker |
SPEAKER_09 |
transcript.pyannote[189].start |
2658.72096875 |
transcript.pyannote[189].end |
2661.99471875 |
transcript.pyannote[190].speaker |
SPEAKER_09 |
transcript.pyannote[190].start |
2662.58534375 |
transcript.pyannote[190].end |
2665.35284375 |
transcript.pyannote[191].speaker |
SPEAKER_09 |
transcript.pyannote[191].start |
2665.75784375 |
transcript.pyannote[191].end |
2671.96784375 |
transcript.pyannote[192].speaker |
SPEAKER_09 |
transcript.pyannote[192].start |
2672.65971875 |
transcript.pyannote[192].end |
2674.02659375 |
transcript.pyannote[193].speaker |
SPEAKER_09 |
transcript.pyannote[193].start |
2674.21221875 |
transcript.pyannote[193].end |
2689.11284375 |
transcript.pyannote[194].speaker |
SPEAKER_09 |
transcript.pyannote[194].start |
2689.75409375 |
transcript.pyannote[194].end |
2690.71596875 |
transcript.pyannote[195].speaker |
SPEAKER_09 |
transcript.pyannote[195].start |
2691.07034375 |
transcript.pyannote[195].end |
2696.55471875 |
transcript.pyannote[196].speaker |
SPEAKER_09 |
transcript.pyannote[196].start |
2697.07784375 |
transcript.pyannote[196].end |
2698.00596875 |
transcript.pyannote[197].speaker |
SPEAKER_09 |
transcript.pyannote[197].start |
2699.06909375 |
transcript.pyannote[197].end |
2703.43971875 |
transcript.pyannote[198].speaker |
SPEAKER_09 |
transcript.pyannote[198].start |
2704.09784375 |
transcript.pyannote[198].end |
2717.86784375 |
transcript.pyannote[199].speaker |
SPEAKER_09 |
transcript.pyannote[199].start |
2718.23909375 |
transcript.pyannote[199].end |
2720.46659375 |
transcript.pyannote[200].speaker |
SPEAKER_09 |
transcript.pyannote[200].start |
2720.66909375 |
transcript.pyannote[200].end |
2722.37346875 |
transcript.pyannote[201].speaker |
SPEAKER_09 |
transcript.pyannote[201].start |
2722.96409375 |
transcript.pyannote[201].end |
2723.48721875 |
transcript.pyannote[202].speaker |
SPEAKER_09 |
transcript.pyannote[202].start |
2723.79096875 |
transcript.pyannote[202].end |
2724.88784375 |
transcript.pyannote[203].speaker |
SPEAKER_09 |
transcript.pyannote[203].start |
2725.32659375 |
transcript.pyannote[203].end |
2727.55409375 |
transcript.pyannote[204].speaker |
SPEAKER_09 |
transcript.pyannote[204].start |
2727.97596875 |
transcript.pyannote[204].end |
2740.76721875 |
transcript.pyannote[205].speaker |
SPEAKER_09 |
transcript.pyannote[205].start |
2741.32409375 |
transcript.pyannote[205].end |
2744.83409375 |
transcript.pyannote[206].speaker |
SPEAKER_09 |
transcript.pyannote[206].start |
2745.08721875 |
transcript.pyannote[206].end |
2747.04471875 |
transcript.pyannote[207].speaker |
SPEAKER_09 |
transcript.pyannote[207].start |
2747.23034375 |
transcript.pyannote[207].end |
2748.20909375 |
transcript.pyannote[208].speaker |
SPEAKER_09 |
transcript.pyannote[208].start |
2748.41159375 |
transcript.pyannote[208].end |
2748.79971875 |
transcript.pyannote[209].speaker |
SPEAKER_09 |
transcript.pyannote[209].start |
2749.06971875 |
transcript.pyannote[209].end |
2752.02284375 |
transcript.pyannote[210].speaker |
SPEAKER_09 |
transcript.pyannote[210].start |
2752.44471875 |
transcript.pyannote[210].end |
2760.25784375 |
transcript.pyannote[211].speaker |
SPEAKER_09 |
transcript.pyannote[211].start |
2760.64596875 |
transcript.pyannote[211].end |
2763.97034375 |
transcript.pyannote[212].speaker |
SPEAKER_09 |
transcript.pyannote[212].start |
2764.22346875 |
transcript.pyannote[212].end |
2765.32034375 |
transcript.pyannote[213].speaker |
SPEAKER_09 |
transcript.pyannote[213].start |
2765.96159375 |
transcript.pyannote[213].end |
2766.56909375 |
transcript.pyannote[214].speaker |
SPEAKER_09 |
transcript.pyannote[214].start |
2767.21034375 |
transcript.pyannote[214].end |
2773.90971875 |
transcript.pyannote[215].speaker |
SPEAKER_09 |
transcript.pyannote[215].start |
2774.46659375 |
transcript.pyannote[215].end |
2782.93784375 |
transcript.pyannote[216].speaker |
SPEAKER_09 |
transcript.pyannote[216].start |
2783.46096875 |
transcript.pyannote[216].end |
2795.72909375 |
transcript.pyannote[217].speaker |
SPEAKER_09 |
transcript.pyannote[217].start |
2795.86409375 |
transcript.pyannote[217].end |
2801.60159375 |
transcript.pyannote[218].speaker |
SPEAKER_09 |
transcript.pyannote[218].start |
2802.56346875 |
transcript.pyannote[218].end |
2811.43971875 |
transcript.pyannote[219].speaker |
SPEAKER_09 |
transcript.pyannote[219].start |
2811.87846875 |
transcript.pyannote[219].end |
2821.36221875 |
transcript.pyannote[220].speaker |
SPEAKER_09 |
transcript.pyannote[220].start |
2822.72909375 |
transcript.pyannote[220].end |
2823.48846875 |
transcript.pyannote[221].speaker |
SPEAKER_09 |
transcript.pyannote[221].start |
2824.07909375 |
transcript.pyannote[221].end |
2827.47096875 |
transcript.pyannote[222].speaker |
SPEAKER_09 |
transcript.pyannote[222].start |
2828.17971875 |
transcript.pyannote[222].end |
2830.03596875 |
transcript.pyannote[223].speaker |
SPEAKER_09 |
transcript.pyannote[223].start |
2830.33971875 |
transcript.pyannote[223].end |
2830.86284375 |
transcript.pyannote[224].speaker |
SPEAKER_09 |
transcript.pyannote[224].start |
2831.16659375 |
transcript.pyannote[224].end |
2837.20784375 |
transcript.pyannote[225].speaker |
SPEAKER_09 |
transcript.pyannote[225].start |
2837.47784375 |
transcript.pyannote[225].end |
2846.70846875 |
transcript.pyannote[226].speaker |
SPEAKER_09 |
transcript.pyannote[226].start |
2847.38346875 |
transcript.pyannote[226].end |
2854.94346875 |
transcript.pyannote[227].speaker |
SPEAKER_09 |
transcript.pyannote[227].start |
2855.41596875 |
transcript.pyannote[227].end |
2871.49784375 |
transcript.pyannote[228].speaker |
SPEAKER_09 |
transcript.pyannote[228].start |
2872.08846875 |
transcript.pyannote[228].end |
2873.26971875 |
transcript.pyannote[229].speaker |
SPEAKER_09 |
transcript.pyannote[229].start |
2873.70846875 |
transcript.pyannote[229].end |
2877.84284375 |
transcript.pyannote[230].speaker |
SPEAKER_09 |
transcript.pyannote[230].start |
2878.29846875 |
transcript.pyannote[230].end |
2883.88409375 |
transcript.pyannote[231].speaker |
SPEAKER_09 |
transcript.pyannote[231].start |
2884.10346875 |
transcript.pyannote[231].end |
2887.30971875 |
transcript.pyannote[232].speaker |
SPEAKER_09 |
transcript.pyannote[232].start |
2887.36034375 |
transcript.pyannote[232].end |
2888.98034375 |
transcript.pyannote[233].speaker |
SPEAKER_09 |
transcript.pyannote[233].start |
2889.43596875 |
transcript.pyannote[233].end |
2895.98346875 |
transcript.pyannote[234].speaker |
SPEAKER_09 |
transcript.pyannote[234].start |
2896.89471875 |
transcript.pyannote[234].end |
2905.82159375 |
transcript.pyannote[235].speaker |
SPEAKER_09 |
transcript.pyannote[235].start |
2908.57221875 |
transcript.pyannote[235].end |
2909.88846875 |
transcript.pyannote[236].speaker |
SPEAKER_09 |
transcript.pyannote[236].start |
2909.97284375 |
transcript.pyannote[236].end |
2915.94659375 |
transcript.pyannote[237].speaker |
SPEAKER_09 |
transcript.pyannote[237].start |
2916.46971875 |
transcript.pyannote[237].end |
2931.45471875 |
transcript.pyannote[238].speaker |
SPEAKER_09 |
transcript.pyannote[238].start |
2932.02846875 |
transcript.pyannote[238].end |
2932.61909375 |
transcript.pyannote[239].speaker |
SPEAKER_09 |
transcript.pyannote[239].start |
2933.09159375 |
transcript.pyannote[239].end |
2937.41159375 |
transcript.pyannote[240].speaker |
SPEAKER_09 |
transcript.pyannote[240].start |
2937.63096875 |
transcript.pyannote[240].end |
2943.46971875 |
transcript.pyannote[241].speaker |
SPEAKER_09 |
transcript.pyannote[241].start |
2943.90846875 |
transcript.pyannote[241].end |
2946.35534375 |
transcript.pyannote[242].speaker |
SPEAKER_09 |
transcript.pyannote[242].start |
2946.89534375 |
transcript.pyannote[242].end |
2948.34659375 |
transcript.pyannote[243].speaker |
SPEAKER_09 |
transcript.pyannote[243].start |
2948.61659375 |
transcript.pyannote[243].end |
2962.94346875 |
transcript.pyannote[244].speaker |
SPEAKER_09 |
transcript.pyannote[244].start |
2963.82096875 |
transcript.pyannote[244].end |
2964.32721875 |
transcript.pyannote[245].speaker |
SPEAKER_09 |
transcript.pyannote[245].start |
2965.44096875 |
transcript.pyannote[245].end |
2969.81159375 |
transcript.pyannote[246].speaker |
SPEAKER_09 |
transcript.pyannote[246].start |
2970.70596875 |
transcript.pyannote[246].end |
2971.81971875 |
transcript.pyannote[247].speaker |
SPEAKER_09 |
transcript.pyannote[247].start |
2972.34284375 |
transcript.pyannote[247].end |
2973.72659375 |
transcript.pyannote[248].speaker |
SPEAKER_09 |
transcript.pyannote[248].start |
2973.97971875 |
transcript.pyannote[248].end |
2981.06721875 |
transcript.pyannote[249].speaker |
SPEAKER_09 |
transcript.pyannote[249].start |
2981.96159375 |
transcript.pyannote[249].end |
2987.58096875 |
transcript.pyannote[250].speaker |
SPEAKER_09 |
transcript.pyannote[250].start |
2988.79596875 |
transcript.pyannote[250].end |
2989.13346875 |
transcript.pyannote[251].speaker |
SPEAKER_09 |
transcript.pyannote[251].start |
2989.69034375 |
transcript.pyannote[251].end |
2990.31471875 |
transcript.pyannote[252].speaker |
SPEAKER_09 |
transcript.pyannote[252].start |
2990.68596875 |
transcript.pyannote[252].end |
2992.93034375 |
transcript.pyannote[253].speaker |
SPEAKER_09 |
transcript.pyannote[253].start |
2993.31846875 |
transcript.pyannote[253].end |
2996.15346875 |
transcript.pyannote[254].speaker |
SPEAKER_09 |
transcript.pyannote[254].start |
2996.76096875 |
transcript.pyannote[254].end |
2997.73971875 |
transcript.pyannote[255].speaker |
SPEAKER_09 |
transcript.pyannote[255].start |
2998.41471875 |
transcript.pyannote[255].end |
3000.54096875 |
transcript.pyannote[256].speaker |
SPEAKER_09 |
transcript.pyannote[256].start |
3000.94596875 |
transcript.pyannote[256].end |
3005.94096875 |
transcript.pyannote[257].speaker |
SPEAKER_09 |
transcript.pyannote[257].start |
3006.16034375 |
transcript.pyannote[257].end |
3012.01596875 |
transcript.pyannote[258].speaker |
SPEAKER_09 |
transcript.pyannote[258].start |
3012.37034375 |
transcript.pyannote[258].end |
3014.41221875 |
transcript.pyannote[259].speaker |
SPEAKER_09 |
transcript.pyannote[259].start |
3014.80034375 |
transcript.pyannote[259].end |
3018.31034375 |
transcript.pyannote[260].speaker |
SPEAKER_09 |
transcript.pyannote[260].start |
3019.25534375 |
transcript.pyannote[260].end |
3024.89159375 |
transcript.pyannote[261].speaker |
SPEAKER_09 |
transcript.pyannote[261].start |
3025.70159375 |
transcript.pyannote[261].end |
3027.10221875 |
transcript.pyannote[262].speaker |
SPEAKER_09 |
transcript.pyannote[262].start |
3027.99659375 |
transcript.pyannote[262].end |
3030.79784375 |
transcript.pyannote[263].speaker |
SPEAKER_09 |
transcript.pyannote[263].start |
3031.32096875 |
transcript.pyannote[263].end |
3032.46846875 |
transcript.pyannote[264].speaker |
SPEAKER_09 |
transcript.pyannote[264].start |
3032.67096875 |
transcript.pyannote[264].end |
3035.35409375 |
transcript.pyannote[265].speaker |
SPEAKER_09 |
transcript.pyannote[265].start |
3035.50596875 |
transcript.pyannote[265].end |
3037.85159375 |
transcript.pyannote[266].speaker |
SPEAKER_09 |
transcript.pyannote[266].start |
3038.64471875 |
transcript.pyannote[266].end |
3043.43721875 |
transcript.pyannote[267].speaker |
SPEAKER_09 |
transcript.pyannote[267].start |
3043.60596875 |
transcript.pyannote[267].end |
3043.92659375 |
transcript.pyannote[268].speaker |
SPEAKER_09 |
transcript.pyannote[268].start |
3044.38221875 |
transcript.pyannote[268].end |
3050.77784375 |
transcript.pyannote[269].speaker |
SPEAKER_09 |
transcript.pyannote[269].start |
3052.87034375 |
transcript.pyannote[269].end |
3056.85284375 |
transcript.pyannote[270].speaker |
SPEAKER_09 |
transcript.pyannote[270].start |
3057.15659375 |
transcript.pyannote[270].end |
3058.37159375 |
transcript.pyannote[271].speaker |
SPEAKER_09 |
transcript.pyannote[271].start |
3059.18159375 |
transcript.pyannote[271].end |
3063.19784375 |
transcript.pyannote[272].speaker |
SPEAKER_09 |
transcript.pyannote[272].start |
3063.23159375 |
transcript.pyannote[272].end |
3070.03221875 |
transcript.pyannote[273].speaker |
SPEAKER_09 |
transcript.pyannote[273].start |
3070.82534375 |
transcript.pyannote[273].end |
3072.02346875 |
transcript.pyannote[274].speaker |
SPEAKER_09 |
transcript.pyannote[274].start |
3073.01909375 |
transcript.pyannote[274].end |
3079.63409375 |
transcript.pyannote[275].speaker |
SPEAKER_09 |
transcript.pyannote[275].start |
3080.46096875 |
transcript.pyannote[275].end |
3082.06409375 |
transcript.pyannote[276].speaker |
SPEAKER_09 |
transcript.pyannote[276].start |
3083.09346875 |
transcript.pyannote[276].end |
3099.59721875 |
transcript.pyannote[277].speaker |
SPEAKER_09 |
transcript.pyannote[277].start |
3099.74909375 |
transcript.pyannote[277].end |
3105.99284375 |
transcript.pyannote[278].speaker |
SPEAKER_09 |
transcript.pyannote[278].start |
3106.78596875 |
transcript.pyannote[278].end |
3113.18159375 |
transcript.pyannote[279].speaker |
SPEAKER_09 |
transcript.pyannote[279].start |
3113.55284375 |
transcript.pyannote[279].end |
3116.37096875 |
transcript.pyannote[280].speaker |
SPEAKER_09 |
transcript.pyannote[280].start |
3117.02909375 |
transcript.pyannote[280].end |
3117.61971875 |
transcript.pyannote[281].speaker |
SPEAKER_09 |
transcript.pyannote[281].start |
3118.12596875 |
transcript.pyannote[281].end |
3118.81784375 |
transcript.pyannote[282].speaker |
SPEAKER_09 |
transcript.pyannote[282].start |
3119.17221875 |
transcript.pyannote[282].end |
3119.56034375 |
transcript.pyannote[283].speaker |
SPEAKER_09 |
transcript.pyannote[283].start |
3120.69096875 |
transcript.pyannote[283].end |
3122.88471875 |
transcript.pyannote[284].speaker |
SPEAKER_09 |
transcript.pyannote[284].start |
3123.12096875 |
transcript.pyannote[284].end |
3127.08659375 |
transcript.pyannote[285].speaker |
SPEAKER_09 |
transcript.pyannote[285].start |
3127.20471875 |
transcript.pyannote[285].end |
3131.42346875 |
transcript.pyannote[286].speaker |
SPEAKER_09 |
transcript.pyannote[286].start |
3132.04784375 |
transcript.pyannote[286].end |
3134.78159375 |
transcript.pyannote[287].speaker |
SPEAKER_09 |
transcript.pyannote[287].start |
3135.38909375 |
transcript.pyannote[287].end |
3147.58971875 |
transcript.pyannote[288].speaker |
SPEAKER_09 |
transcript.pyannote[288].start |
3147.80909375 |
transcript.pyannote[288].end |
3154.66034375 |
transcript.pyannote[289].speaker |
SPEAKER_09 |
transcript.pyannote[289].start |
3154.93034375 |
transcript.pyannote[289].end |
3155.52096875 |
transcript.pyannote[290].speaker |
SPEAKER_09 |
transcript.pyannote[290].start |
3155.95971875 |
transcript.pyannote[290].end |
3156.46596875 |
transcript.pyannote[291].speaker |
SPEAKER_09 |
transcript.pyannote[291].start |
3156.75284375 |
transcript.pyannote[291].end |
3158.49096875 |
transcript.pyannote[292].speaker |
SPEAKER_09 |
transcript.pyannote[292].start |
3158.99721875 |
transcript.pyannote[292].end |
3160.27971875 |
transcript.pyannote[293].speaker |
SPEAKER_09 |
transcript.pyannote[293].start |
3160.60034375 |
transcript.pyannote[293].end |
3162.23721875 |
transcript.pyannote[294].speaker |
SPEAKER_09 |
transcript.pyannote[294].start |
3162.69284375 |
transcript.pyannote[294].end |
3163.89096875 |
transcript.pyannote[295].speaker |
SPEAKER_09 |
transcript.pyannote[295].start |
3164.39721875 |
transcript.pyannote[295].end |
3165.29159375 |
transcript.pyannote[296].speaker |
SPEAKER_09 |
transcript.pyannote[296].start |
3165.47721875 |
transcript.pyannote[296].end |
3168.12659375 |
transcript.pyannote[297].speaker |
SPEAKER_09 |
transcript.pyannote[297].start |
3169.25721875 |
transcript.pyannote[297].end |
3170.26971875 |
transcript.pyannote[298].speaker |
SPEAKER_09 |
transcript.pyannote[298].start |
3170.30346875 |
transcript.pyannote[298].end |
3172.80096875 |
transcript.pyannote[299].speaker |
SPEAKER_09 |
transcript.pyannote[299].start |
3173.17221875 |
transcript.pyannote[299].end |
3174.01596875 |
transcript.pyannote[300].speaker |
SPEAKER_09 |
transcript.pyannote[300].start |
3174.92721875 |
transcript.pyannote[300].end |
3175.29846875 |
transcript.pyannote[301].speaker |
SPEAKER_09 |
transcript.pyannote[301].start |
3175.65284375 |
transcript.pyannote[301].end |
3180.00659375 |
transcript.pyannote[302].speaker |
SPEAKER_09 |
transcript.pyannote[302].start |
3180.32721875 |
transcript.pyannote[302].end |
3183.95534375 |
transcript.pyannote[303].speaker |
SPEAKER_09 |
transcript.pyannote[303].start |
3184.34346875 |
transcript.pyannote[303].end |
3186.26721875 |
transcript.pyannote[304].speaker |
SPEAKER_09 |
transcript.pyannote[304].start |
3186.60471875 |
transcript.pyannote[304].end |
3192.47721875 |
transcript.pyannote[305].speaker |
SPEAKER_09 |
transcript.pyannote[305].start |
3192.96659375 |
transcript.pyannote[305].end |
3199.04159375 |
transcript.pyannote[306].speaker |
SPEAKER_09 |
transcript.pyannote[306].start |
3200.02034375 |
transcript.pyannote[306].end |
3202.77096875 |
transcript.pyannote[307].speaker |
SPEAKER_09 |
transcript.pyannote[307].start |
3203.46284375 |
transcript.pyannote[307].end |
3208.66034375 |
transcript.pyannote[308].speaker |
SPEAKER_09 |
transcript.pyannote[308].start |
3208.98096875 |
transcript.pyannote[308].end |
3215.56221875 |
transcript.pyannote[309].speaker |
SPEAKER_09 |
transcript.pyannote[309].start |
3216.05159375 |
transcript.pyannote[309].end |
3221.13096875 |
transcript.pyannote[310].speaker |
SPEAKER_09 |
transcript.pyannote[310].start |
3221.60346875 |
transcript.pyannote[310].end |
3225.75471875 |
transcript.pyannote[311].speaker |
SPEAKER_09 |
transcript.pyannote[311].start |
3226.12596875 |
transcript.pyannote[311].end |
3234.95159375 |
transcript.pyannote[312].speaker |
SPEAKER_09 |
transcript.pyannote[312].start |
3235.18784375 |
transcript.pyannote[312].end |
3237.58409375 |
transcript.pyannote[313].speaker |
SPEAKER_09 |
transcript.pyannote[313].start |
3237.87096875 |
transcript.pyannote[313].end |
3241.88721875 |
transcript.pyannote[314].speaker |
SPEAKER_09 |
transcript.pyannote[314].start |
3241.90409375 |
transcript.pyannote[314].end |
3244.78971875 |
transcript.pyannote[315].speaker |
SPEAKER_09 |
transcript.pyannote[315].start |
3245.26221875 |
transcript.pyannote[315].end |
3250.76346875 |
transcript.pyannote[316].speaker |
SPEAKER_09 |
transcript.pyannote[316].start |
3251.23596875 |
transcript.pyannote[316].end |
3251.77596875 |
transcript.pyannote[317].speaker |
SPEAKER_09 |
transcript.pyannote[317].start |
3252.09659375 |
transcript.pyannote[317].end |
3254.15534375 |
transcript.pyannote[318].speaker |
SPEAKER_09 |
transcript.pyannote[318].start |
3254.83034375 |
transcript.pyannote[318].end |
3258.98159375 |
transcript.pyannote[319].speaker |
SPEAKER_09 |
transcript.pyannote[319].start |
3259.85909375 |
transcript.pyannote[319].end |
3264.28034375 |
transcript.pyannote[320].speaker |
SPEAKER_09 |
transcript.pyannote[320].start |
3265.20846875 |
transcript.pyannote[320].end |
3265.78221875 |
transcript.pyannote[321].speaker |
SPEAKER_09 |
transcript.pyannote[321].start |
3266.32221875 |
transcript.pyannote[321].end |
3276.14346875 |
transcript.pyannote[322].speaker |
SPEAKER_09 |
transcript.pyannote[322].start |
3276.46409375 |
transcript.pyannote[322].end |
3281.07096875 |
transcript.pyannote[323].speaker |
SPEAKER_09 |
transcript.pyannote[323].start |
3281.45909375 |
transcript.pyannote[323].end |
3282.77534375 |
transcript.pyannote[324].speaker |
SPEAKER_09 |
transcript.pyannote[324].start |
3282.97784375 |
transcript.pyannote[324].end |
3286.79159375 |
transcript.pyannote[325].speaker |
SPEAKER_09 |
transcript.pyannote[325].start |
3286.97721875 |
transcript.pyannote[325].end |
3290.14971875 |
transcript.pyannote[326].speaker |
SPEAKER_09 |
transcript.pyannote[326].start |
3290.58846875 |
transcript.pyannote[326].end |
3294.80721875 |
transcript.pyannote[327].speaker |
SPEAKER_09 |
transcript.pyannote[327].start |
3295.49909375 |
transcript.pyannote[327].end |
3302.01284375 |
transcript.pyannote[328].speaker |
SPEAKER_09 |
transcript.pyannote[328].start |
3302.83971875 |
transcript.pyannote[328].end |
3306.50159375 |
transcript.pyannote[329].speaker |
SPEAKER_09 |
transcript.pyannote[329].start |
3307.10909375 |
transcript.pyannote[329].end |
3309.45471875 |
transcript.pyannote[330].speaker |
SPEAKER_09 |
transcript.pyannote[330].start |
3310.38284375 |
transcript.pyannote[330].end |
3314.38221875 |
transcript.pyannote[331].speaker |
SPEAKER_09 |
transcript.pyannote[331].start |
3314.97284375 |
transcript.pyannote[331].end |
3315.58034375 |
transcript.pyannote[332].speaker |
SPEAKER_09 |
transcript.pyannote[332].start |
3316.22159375 |
transcript.pyannote[332].end |
3323.88284375 |
transcript.pyannote[333].speaker |
SPEAKER_09 |
transcript.pyannote[333].start |
3324.16971875 |
transcript.pyannote[333].end |
3329.16471875 |
transcript.pyannote[334].speaker |
SPEAKER_09 |
transcript.pyannote[334].start |
3329.77221875 |
transcript.pyannote[334].end |
3334.98659375 |
transcript.pyannote[335].speaker |
SPEAKER_09 |
transcript.pyannote[335].start |
3335.32409375 |
transcript.pyannote[335].end |
3339.32346875 |
transcript.pyannote[336].speaker |
SPEAKER_09 |
transcript.pyannote[336].start |
3339.71159375 |
transcript.pyannote[336].end |
3343.79534375 |
transcript.pyannote[337].speaker |
SPEAKER_09 |
transcript.pyannote[337].start |
3344.62221875 |
transcript.pyannote[337].end |
3348.26721875 |
transcript.pyannote[338].speaker |
SPEAKER_09 |
transcript.pyannote[338].start |
3348.57096875 |
transcript.pyannote[338].end |
3357.59909375 |
transcript.pyannote[339].speaker |
SPEAKER_09 |
transcript.pyannote[339].start |
3358.29096875 |
transcript.pyannote[339].end |
3360.40034375 |
transcript.pyannote[340].speaker |
SPEAKER_09 |
transcript.pyannote[340].start |
3360.56909375 |
transcript.pyannote[340].end |
3365.73284375 |
transcript.pyannote[341].speaker |
SPEAKER_09 |
transcript.pyannote[341].start |
3366.10409375 |
transcript.pyannote[341].end |
3372.33096875 |
transcript.pyannote[342].speaker |
SPEAKER_09 |
transcript.pyannote[342].start |
3372.60096875 |
transcript.pyannote[342].end |
3376.11096875 |
transcript.pyannote[343].speaker |
SPEAKER_09 |
transcript.pyannote[343].start |
3376.73534375 |
transcript.pyannote[343].end |
3378.03471875 |
transcript.pyannote[344].speaker |
SPEAKER_09 |
transcript.pyannote[344].start |
3378.23721875 |
transcript.pyannote[344].end |
3388.90221875 |
transcript.pyannote[345].speaker |
SPEAKER_09 |
transcript.pyannote[345].start |
3389.37471875 |
transcript.pyannote[345].end |
3391.75409375 |
transcript.pyannote[346].speaker |
SPEAKER_09 |
transcript.pyannote[346].start |
3391.95659375 |
transcript.pyannote[346].end |
3393.30659375 |
transcript.pyannote[347].speaker |
SPEAKER_09 |
transcript.pyannote[347].start |
3393.47534375 |
transcript.pyannote[347].end |
3402.21659375 |
transcript.pyannote[348].speaker |
SPEAKER_04 |
transcript.pyannote[348].start |
3403.97159375 |
transcript.pyannote[348].end |
3430.38096875 |
transcript.pyannote[349].speaker |
SPEAKER_04 |
transcript.pyannote[349].start |
3430.80284375 |
transcript.pyannote[349].end |
3434.09346875 |
transcript.pyannote[350].speaker |
SPEAKER_04 |
transcript.pyannote[350].start |
3434.44784375 |
transcript.pyannote[350].end |
3436.79346875 |
transcript.pyannote[351].speaker |
SPEAKER_04 |
transcript.pyannote[351].start |
3437.65409375 |
transcript.pyannote[351].end |
3438.21096875 |
transcript.pyannote[352].speaker |
SPEAKER_04 |
transcript.pyannote[352].start |
3438.29534375 |
transcript.pyannote[352].end |
3439.99971875 |
transcript.pyannote[353].speaker |
SPEAKER_41 |
transcript.pyannote[353].start |
3448.48784375 |
transcript.pyannote[353].end |
3449.34846875 |
transcript.pyannote[354].speaker |
SPEAKER_41 |
transcript.pyannote[354].start |
3449.68596875 |
transcript.pyannote[354].end |
3454.12409375 |
transcript.pyannote[355].speaker |
SPEAKER_41 |
transcript.pyannote[355].start |
3454.47846875 |
transcript.pyannote[355].end |
3456.38534375 |
transcript.pyannote[356].speaker |
SPEAKER_41 |
transcript.pyannote[356].start |
3456.73971875 |
transcript.pyannote[356].end |
3464.75534375 |
transcript.pyannote[357].speaker |
SPEAKER_41 |
transcript.pyannote[357].start |
3465.12659375 |
transcript.pyannote[357].end |
3489.47721875 |
transcript.pyannote[358].speaker |
SPEAKER_41 |
transcript.pyannote[358].start |
3489.83159375 |
transcript.pyannote[358].end |
3493.18971875 |
transcript.pyannote[359].speaker |
SPEAKER_41 |
transcript.pyannote[359].start |
3493.27409375 |
transcript.pyannote[359].end |
3565.44846875 |
transcript.pyannote[360].speaker |
SPEAKER_41 |
transcript.pyannote[360].start |
3565.76909375 |
transcript.pyannote[360].end |
3603.07971875 |
transcript.pyannote[361].speaker |
SPEAKER_41 |
transcript.pyannote[361].start |
3603.45096875 |
transcript.pyannote[361].end |
3612.52971875 |
transcript.pyannote[362].speaker |
SPEAKER_41 |
transcript.pyannote[362].start |
3612.69846875 |
transcript.pyannote[362].end |
3621.03471875 |
transcript.pyannote[363].speaker |
SPEAKER_41 |
transcript.pyannote[363].start |
3621.32159375 |
transcript.pyannote[363].end |
3644.81159375 |
transcript.pyannote[364].speaker |
SPEAKER_41 |
transcript.pyannote[364].start |
3645.14909375 |
transcript.pyannote[364].end |
3667.12034375 |
transcript.pyannote[365].speaker |
SPEAKER_41 |
transcript.pyannote[365].start |
3667.49159375 |
transcript.pyannote[365].end |
3676.77284375 |
transcript.pyannote[366].speaker |
SPEAKER_41 |
transcript.pyannote[366].start |
3676.85721875 |
transcript.pyannote[366].end |
3687.26909375 |
transcript.pyannote[367].speaker |
SPEAKER_41 |
transcript.pyannote[367].start |
3687.74159375 |
transcript.pyannote[367].end |
3702.82784375 |
transcript.pyannote[368].speaker |
SPEAKER_04 |
transcript.pyannote[368].start |
3704.97096875 |
transcript.pyannote[368].end |
3706.32096875 |
transcript.pyannote[369].speaker |
SPEAKER_04 |
transcript.pyannote[369].start |
3706.67534375 |
transcript.pyannote[369].end |
3713.29034375 |
transcript.pyannote[370].speaker |
SPEAKER_04 |
transcript.pyannote[370].start |
3714.62346875 |
transcript.pyannote[370].end |
3716.36159375 |
transcript.pyannote[371].speaker |
SPEAKER_04 |
transcript.pyannote[371].start |
3716.69909375 |
transcript.pyannote[371].end |
3739.22721875 |
transcript.pyannote[372].speaker |
SPEAKER_04 |
transcript.pyannote[372].start |
3739.32846875 |
transcript.pyannote[372].end |
3740.57721875 |
transcript.pyannote[373].speaker |
SPEAKER_04 |
transcript.pyannote[373].start |
3740.84721875 |
transcript.pyannote[373].end |
3744.66096875 |
transcript.pyannote[374].speaker |
SPEAKER_04 |
transcript.pyannote[374].start |
3745.03221875 |
transcript.pyannote[374].end |
3745.52159375 |
transcript.pyannote[375].speaker |
SPEAKER_04 |
transcript.pyannote[375].start |
3745.84221875 |
transcript.pyannote[375].end |
3748.22159375 |
transcript.pyannote[376].speaker |
SPEAKER_04 |
transcript.pyannote[376].start |
3749.97659375 |
transcript.pyannote[376].end |
3750.39846875 |
transcript.pyannote[377].speaker |
SPEAKER_04 |
transcript.pyannote[377].start |
3750.49971875 |
transcript.pyannote[377].end |
3754.58346875 |
transcript.pyannote[378].speaker |
SPEAKER_40 |
transcript.pyannote[378].start |
3760.40534375 |
transcript.pyannote[378].end |
3767.69534375 |
transcript.pyannote[379].speaker |
SPEAKER_31 |
transcript.pyannote[379].start |
3766.56471875 |
transcript.pyannote[379].end |
3766.64909375 |
transcript.pyannote[380].speaker |
SPEAKER_40 |
transcript.pyannote[380].start |
3768.20159375 |
transcript.pyannote[380].end |
3772.74096875 |
transcript.pyannote[381].speaker |
SPEAKER_40 |
transcript.pyannote[381].start |
3772.80846875 |
transcript.pyannote[381].end |
3774.36096875 |
transcript.pyannote[382].speaker |
SPEAKER_04 |
transcript.pyannote[382].start |
3776.67284375 |
transcript.pyannote[382].end |
3776.70659375 |
transcript.pyannote[383].speaker |
SPEAKER_40 |
transcript.pyannote[383].start |
3776.70659375 |
transcript.pyannote[383].end |
3777.19596875 |
transcript.pyannote[384].speaker |
SPEAKER_40 |
transcript.pyannote[384].start |
3779.50784375 |
transcript.pyannote[384].end |
3780.28409375 |
transcript.pyannote[385].speaker |
SPEAKER_40 |
transcript.pyannote[385].start |
3780.63846875 |
transcript.pyannote[385].end |
3781.34721875 |
transcript.pyannote[386].speaker |
SPEAKER_40 |
transcript.pyannote[386].start |
3781.44846875 |
transcript.pyannote[386].end |
3798.74534375 |
transcript.pyannote[387].speaker |
SPEAKER_18 |
transcript.pyannote[387].start |
3798.77909375 |
transcript.pyannote[387].end |
3807.73971875 |
transcript.pyannote[388].speaker |
SPEAKER_40 |
transcript.pyannote[388].start |
3806.89596875 |
transcript.pyannote[388].end |
3812.12721875 |
transcript.pyannote[389].speaker |
SPEAKER_18 |
transcript.pyannote[389].start |
3811.68846875 |
transcript.pyannote[389].end |
3817.81409375 |
transcript.pyannote[390].speaker |
SPEAKER_40 |
transcript.pyannote[390].start |
3817.40909375 |
transcript.pyannote[390].end |
3837.47346875 |
transcript.pyannote[391].speaker |
SPEAKER_18 |
transcript.pyannote[391].start |
3819.60284375 |
transcript.pyannote[391].end |
3819.83909375 |
transcript.pyannote[392].speaker |
SPEAKER_40 |
transcript.pyannote[392].start |
3837.92909375 |
transcript.pyannote[392].end |
3841.32096875 |
transcript.pyannote[393].speaker |
SPEAKER_40 |
transcript.pyannote[393].start |
3841.81034375 |
transcript.pyannote[393].end |
3844.57784375 |
transcript.pyannote[394].speaker |
SPEAKER_40 |
transcript.pyannote[394].start |
3845.35409375 |
transcript.pyannote[394].end |
3845.67471875 |
transcript.pyannote[395].speaker |
SPEAKER_40 |
transcript.pyannote[395].start |
3845.99534375 |
transcript.pyannote[395].end |
3847.14284375 |
transcript.pyannote[396].speaker |
SPEAKER_40 |
transcript.pyannote[396].start |
3847.83471875 |
transcript.pyannote[396].end |
3854.02784375 |
transcript.pyannote[397].speaker |
SPEAKER_40 |
transcript.pyannote[397].start |
3854.41596875 |
transcript.pyannote[397].end |
3859.83284375 |
transcript.pyannote[398].speaker |
SPEAKER_40 |
transcript.pyannote[398].start |
3860.22096875 |
transcript.pyannote[398].end |
3860.60909375 |
transcript.pyannote[399].speaker |
SPEAKER_40 |
transcript.pyannote[399].start |
3861.40221875 |
transcript.pyannote[399].end |
3865.28346875 |
transcript.pyannote[400].speaker |
SPEAKER_17 |
transcript.pyannote[400].start |
3865.50284375 |
transcript.pyannote[400].end |
3865.94159375 |
transcript.pyannote[401].speaker |
SPEAKER_40 |
transcript.pyannote[401].start |
3865.94159375 |
transcript.pyannote[401].end |
3865.95846875 |
transcript.pyannote[402].speaker |
SPEAKER_40 |
transcript.pyannote[402].start |
3865.97534375 |
transcript.pyannote[402].end |
3867.71346875 |
transcript.pyannote[403].speaker |
SPEAKER_17 |
transcript.pyannote[403].start |
3866.26221875 |
transcript.pyannote[403].end |
3866.65034375 |
transcript.pyannote[404].speaker |
SPEAKER_31 |
transcript.pyannote[404].start |
3867.71346875 |
transcript.pyannote[404].end |
3867.86534375 |
transcript.pyannote[405].speaker |
SPEAKER_40 |
transcript.pyannote[405].start |
3867.86534375 |
transcript.pyannote[405].end |
3872.11784375 |
transcript.pyannote[406].speaker |
SPEAKER_17 |
transcript.pyannote[406].start |
3867.88221875 |
transcript.pyannote[406].end |
3867.96659375 |
transcript.pyannote[407].speaker |
SPEAKER_31 |
transcript.pyannote[407].start |
3867.96659375 |
transcript.pyannote[407].end |
3868.35471875 |
transcript.pyannote[408].speaker |
SPEAKER_17 |
transcript.pyannote[408].start |
3868.35471875 |
transcript.pyannote[408].end |
3868.50659375 |
transcript.pyannote[409].speaker |
SPEAKER_40 |
transcript.pyannote[409].start |
3872.84346875 |
transcript.pyannote[409].end |
3875.66159375 |
transcript.pyannote[410].speaker |
SPEAKER_18 |
transcript.pyannote[410].start |
3875.77971875 |
transcript.pyannote[410].end |
3935.65221875 |
transcript.pyannote[411].speaker |
SPEAKER_40 |
transcript.pyannote[411].start |
3933.79596875 |
transcript.pyannote[411].end |
3935.28096875 |
transcript.pyannote[412].speaker |
SPEAKER_40 |
transcript.pyannote[412].start |
3935.65221875 |
transcript.pyannote[412].end |
3942.84096875 |
transcript.pyannote[413].speaker |
SPEAKER_30 |
transcript.pyannote[413].start |
3942.84096875 |
transcript.pyannote[413].end |
3943.19534375 |
transcript.pyannote[414].speaker |
SPEAKER_40 |
transcript.pyannote[414].start |
3943.04346875 |
transcript.pyannote[414].end |
3944.49471875 |
transcript.pyannote[415].speaker |
SPEAKER_40 |
transcript.pyannote[415].start |
3944.71409375 |
transcript.pyannote[415].end |
3953.48909375 |
transcript.pyannote[416].speaker |
SPEAKER_00 |
transcript.pyannote[416].start |
3951.49784375 |
transcript.pyannote[416].end |
3951.59909375 |
transcript.pyannote[417].speaker |
SPEAKER_40 |
transcript.pyannote[417].start |
3953.97846875 |
transcript.pyannote[417].end |
3968.89596875 |
transcript.pyannote[418].speaker |
SPEAKER_43 |
transcript.pyannote[418].start |
3965.89221875 |
transcript.pyannote[418].end |
3966.04409375 |
transcript.pyannote[419].speaker |
SPEAKER_40 |
transcript.pyannote[419].start |
3969.40221875 |
transcript.pyannote[419].end |
3972.18659375 |
transcript.pyannote[420].speaker |
SPEAKER_18 |
transcript.pyannote[420].start |
3973.09784375 |
transcript.pyannote[420].end |
3990.59721875 |
transcript.pyannote[421].speaker |
SPEAKER_40 |
transcript.pyannote[421].start |
3991.57596875 |
transcript.pyannote[421].end |
3991.84596875 |
transcript.pyannote[422].speaker |
SPEAKER_40 |
transcript.pyannote[422].start |
3995.25471875 |
transcript.pyannote[422].end |
4006.66221875 |
transcript.pyannote[423].speaker |
SPEAKER_40 |
transcript.pyannote[423].start |
4007.16846875 |
transcript.pyannote[423].end |
4011.97784375 |
transcript.pyannote[424].speaker |
SPEAKER_18 |
transcript.pyannote[424].start |
4008.60284375 |
transcript.pyannote[424].end |
4011.15096875 |
transcript.pyannote[425].speaker |
SPEAKER_18 |
transcript.pyannote[425].start |
4011.97784375 |
transcript.pyannote[425].end |
4017.96846875 |
transcript.pyannote[426].speaker |
SPEAKER_18 |
transcript.pyannote[426].start |
4018.47471875 |
transcript.pyannote[426].end |
4021.37721875 |
transcript.pyannote[427].speaker |
SPEAKER_40 |
transcript.pyannote[427].start |
4020.36471875 |
transcript.pyannote[427].end |
4024.48221875 |
transcript.pyannote[428].speaker |
SPEAKER_18 |
transcript.pyannote[428].start |
4024.48221875 |
transcript.pyannote[428].end |
4024.73534375 |
transcript.pyannote[429].speaker |
SPEAKER_40 |
transcript.pyannote[429].start |
4024.73534375 |
transcript.pyannote[429].end |
4031.43471875 |
transcript.pyannote[430].speaker |
SPEAKER_40 |
transcript.pyannote[430].start |
4031.87346875 |
transcript.pyannote[430].end |
4035.06284375 |
transcript.pyannote[431].speaker |
SPEAKER_40 |
transcript.pyannote[431].start |
4035.77159375 |
transcript.pyannote[431].end |
4037.99909375 |
transcript.pyannote[432].speaker |
SPEAKER_40 |
transcript.pyannote[432].start |
4038.69096875 |
transcript.pyannote[432].end |
4039.16346875 |
transcript.pyannote[433].speaker |
SPEAKER_40 |
transcript.pyannote[433].start |
4039.36596875 |
transcript.pyannote[433].end |
4041.20534375 |
transcript.pyannote[434].speaker |
SPEAKER_30 |
transcript.pyannote[434].start |
4041.34034375 |
transcript.pyannote[434].end |
4041.69471875 |
transcript.pyannote[435].speaker |
SPEAKER_40 |
transcript.pyannote[435].start |
4041.69471875 |
transcript.pyannote[435].end |
4042.53846875 |
transcript.pyannote[436].speaker |
SPEAKER_40 |
transcript.pyannote[436].start |
4042.79159375 |
transcript.pyannote[436].end |
4048.17471875 |
transcript.pyannote[437].speaker |
SPEAKER_40 |
transcript.pyannote[437].start |
4048.64721875 |
transcript.pyannote[437].end |
4049.72721875 |
transcript.pyannote[438].speaker |
SPEAKER_40 |
transcript.pyannote[438].start |
4049.96346875 |
transcript.pyannote[438].end |
4065.08346875 |
transcript.pyannote[439].speaker |
SPEAKER_40 |
transcript.pyannote[439].start |
4065.11721875 |
transcript.pyannote[439].end |
4076.50784375 |
transcript.pyannote[440].speaker |
SPEAKER_40 |
transcript.pyannote[440].start |
4076.77784375 |
transcript.pyannote[440].end |
4078.70159375 |
transcript.pyannote[441].speaker |
SPEAKER_40 |
transcript.pyannote[441].start |
4079.20784375 |
transcript.pyannote[441].end |
4084.38846875 |
transcript.pyannote[442].speaker |
SPEAKER_40 |
transcript.pyannote[442].start |
4084.60784375 |
transcript.pyannote[442].end |
4095.00284375 |
transcript.pyannote[443].speaker |
SPEAKER_40 |
transcript.pyannote[443].start |
4095.64409375 |
transcript.pyannote[443].end |
4101.33096875 |
transcript.pyannote[444].speaker |
SPEAKER_40 |
transcript.pyannote[444].start |
4101.49971875 |
transcript.pyannote[444].end |
4117.81784375 |
transcript.pyannote[445].speaker |
SPEAKER_40 |
transcript.pyannote[445].start |
4117.96971875 |
transcript.pyannote[445].end |
4119.28596875 |
transcript.pyannote[446].speaker |
SPEAKER_12 |
transcript.pyannote[446].start |
4119.84284375 |
transcript.pyannote[446].end |
4120.18034375 |
transcript.pyannote[447].speaker |
SPEAKER_12 |
transcript.pyannote[447].start |
4120.65284375 |
transcript.pyannote[447].end |
4140.07596875 |
transcript.pyannote[448].speaker |
SPEAKER_12 |
transcript.pyannote[448].start |
4140.36284375 |
transcript.pyannote[448].end |
4142.18534375 |
transcript.pyannote[449].speaker |
SPEAKER_12 |
transcript.pyannote[449].start |
4142.43846875 |
transcript.pyannote[449].end |
4152.74909375 |
transcript.pyannote[450].speaker |
SPEAKER_40 |
transcript.pyannote[450].start |
4152.15846875 |
transcript.pyannote[450].end |
4171.31159375 |
transcript.pyannote[451].speaker |
SPEAKER_12 |
transcript.pyannote[451].start |
4171.68284375 |
transcript.pyannote[451].end |
4175.05784375 |
transcript.pyannote[452].speaker |
SPEAKER_40 |
transcript.pyannote[452].start |
4175.15909375 |
transcript.pyannote[452].end |
4176.61034375 |
transcript.pyannote[453].speaker |
SPEAKER_40 |
transcript.pyannote[453].start |
4176.98159375 |
transcript.pyannote[453].end |
4211.37284375 |
transcript.pyannote[454].speaker |
SPEAKER_40 |
transcript.pyannote[454].start |
4211.96346875 |
transcript.pyannote[454].end |
4213.29659375 |
transcript.pyannote[455].speaker |
SPEAKER_40 |
transcript.pyannote[455].start |
4213.98846875 |
transcript.pyannote[455].end |
4216.63784375 |
transcript.pyannote[456].speaker |
SPEAKER_12 |
transcript.pyannote[456].start |
4216.97534375 |
transcript.pyannote[456].end |
4248.27846875 |
transcript.pyannote[457].speaker |
SPEAKER_12 |
transcript.pyannote[457].start |
4248.63284375 |
transcript.pyannote[457].end |
4250.10096875 |
transcript.pyannote[458].speaker |
SPEAKER_12 |
transcript.pyannote[458].start |
4250.38784375 |
transcript.pyannote[458].end |
4252.85159375 |
transcript.pyannote[459].speaker |
SPEAKER_12 |
transcript.pyannote[459].start |
4253.08784375 |
transcript.pyannote[459].end |
4262.09909375 |
transcript.pyannote[460].speaker |
SPEAKER_12 |
transcript.pyannote[460].start |
4262.40284375 |
transcript.pyannote[460].end |
4264.61346875 |
transcript.pyannote[461].speaker |
SPEAKER_40 |
transcript.pyannote[461].start |
4264.61346875 |
transcript.pyannote[461].end |
4282.07909375 |
transcript.pyannote[462].speaker |
SPEAKER_40 |
transcript.pyannote[462].start |
4282.39971875 |
transcript.pyannote[462].end |
4285.63971875 |
transcript.pyannote[463].speaker |
SPEAKER_40 |
transcript.pyannote[463].start |
4286.11221875 |
transcript.pyannote[463].end |
4299.51096875 |
transcript.pyannote[464].speaker |
SPEAKER_12 |
transcript.pyannote[464].start |
4299.91596875 |
transcript.pyannote[464].end |
4305.92346875 |
transcript.pyannote[465].speaker |
SPEAKER_12 |
transcript.pyannote[465].start |
4306.24409375 |
transcript.pyannote[465].end |
4319.18721875 |
transcript.pyannote[466].speaker |
SPEAKER_40 |
transcript.pyannote[466].start |
4306.29471875 |
transcript.pyannote[466].end |
4306.61534375 |
transcript.pyannote[467].speaker |
SPEAKER_40 |
transcript.pyannote[467].start |
4308.45471875 |
transcript.pyannote[467].end |
4311.10409375 |
transcript.pyannote[468].speaker |
SPEAKER_40 |
transcript.pyannote[468].start |
4319.25471875 |
transcript.pyannote[468].end |
4321.07721875 |
transcript.pyannote[469].speaker |
SPEAKER_40 |
transcript.pyannote[469].start |
4321.46534375 |
transcript.pyannote[469].end |
4352.68409375 |
transcript.pyannote[470].speaker |
SPEAKER_12 |
transcript.pyannote[470].start |
4353.25784375 |
transcript.pyannote[470].end |
4361.77971875 |
transcript.pyannote[471].speaker |
SPEAKER_12 |
transcript.pyannote[471].start |
4362.25221875 |
transcript.pyannote[471].end |
4373.87909375 |
transcript.pyannote[472].speaker |
SPEAKER_12 |
transcript.pyannote[472].start |
4373.98034375 |
transcript.pyannote[472].end |
4382.50221875 |
transcript.pyannote[473].speaker |
SPEAKER_40 |
transcript.pyannote[473].start |
4381.99596875 |
transcript.pyannote[473].end |
4388.50971875 |
transcript.pyannote[474].speaker |
SPEAKER_40 |
transcript.pyannote[474].start |
4388.91471875 |
transcript.pyannote[474].end |
4390.19721875 |
transcript.pyannote[475].speaker |
SPEAKER_18 |
transcript.pyannote[475].start |
4390.82159375 |
transcript.pyannote[475].end |
4390.83846875 |
transcript.pyannote[476].speaker |
SPEAKER_40 |
transcript.pyannote[476].start |
4390.83846875 |
transcript.pyannote[476].end |
4391.53034375 |
transcript.pyannote[477].speaker |
SPEAKER_18 |
transcript.pyannote[477].start |
4390.87221875 |
transcript.pyannote[477].end |
4395.66471875 |
transcript.pyannote[478].speaker |
SPEAKER_40 |
transcript.pyannote[478].start |
4395.44534375 |
transcript.pyannote[478].end |
4399.27596875 |
transcript.pyannote[479].speaker |
SPEAKER_40 |
transcript.pyannote[479].start |
4399.69784375 |
transcript.pyannote[479].end |
4416.92721875 |
transcript.pyannote[480].speaker |
SPEAKER_40 |
transcript.pyannote[480].start |
4417.55159375 |
transcript.pyannote[480].end |
4421.38221875 |
transcript.pyannote[481].speaker |
SPEAKER_40 |
transcript.pyannote[481].start |
4421.70284375 |
transcript.pyannote[481].end |
4437.10971875 |
transcript.pyannote[482].speaker |
SPEAKER_40 |
transcript.pyannote[482].start |
4437.41346875 |
transcript.pyannote[482].end |
4440.88971875 |
transcript.pyannote[483].speaker |
SPEAKER_40 |
transcript.pyannote[483].start |
4441.36221875 |
transcript.pyannote[483].end |
4453.05659375 |
transcript.pyannote[484].speaker |
SPEAKER_40 |
transcript.pyannote[484].start |
4453.64721875 |
transcript.pyannote[484].end |
4462.87784375 |
transcript.pyannote[485].speaker |
SPEAKER_40 |
transcript.pyannote[485].start |
4463.41784375 |
transcript.pyannote[485].end |
4465.42596875 |
transcript.pyannote[486].speaker |
SPEAKER_40 |
transcript.pyannote[486].start |
4465.96596875 |
transcript.pyannote[486].end |
4482.01409375 |
transcript.pyannote[487].speaker |
SPEAKER_18 |
transcript.pyannote[487].start |
4482.57096875 |
transcript.pyannote[487].end |
4482.92534375 |
transcript.pyannote[488].speaker |
SPEAKER_18 |
transcript.pyannote[488].start |
4483.17846875 |
transcript.pyannote[488].end |
4499.44596875 |
transcript.pyannote[489].speaker |
SPEAKER_40 |
transcript.pyannote[489].start |
4499.44596875 |
transcript.pyannote[489].end |
4505.38596875 |
transcript.pyannote[490].speaker |
SPEAKER_18 |
transcript.pyannote[490].start |
4500.71159375 |
transcript.pyannote[490].end |
4502.01096875 |
transcript.pyannote[491].speaker |
SPEAKER_18 |
transcript.pyannote[491].start |
4503.52971875 |
transcript.pyannote[491].end |
4504.52534375 |
transcript.pyannote[492].speaker |
SPEAKER_18 |
transcript.pyannote[492].start |
4505.38596875 |
transcript.pyannote[492].end |
4507.10721875 |
transcript.pyannote[493].speaker |
SPEAKER_40 |
transcript.pyannote[493].start |
4505.80784375 |
transcript.pyannote[493].end |
4506.48284375 |
transcript.pyannote[494].speaker |
SPEAKER_40 |
transcript.pyannote[494].start |
4507.10721875 |
transcript.pyannote[494].end |
4514.44784375 |
transcript.pyannote[495].speaker |
SPEAKER_40 |
transcript.pyannote[495].start |
4515.42659375 |
transcript.pyannote[495].end |
4516.82721875 |
transcript.pyannote[496].speaker |
SPEAKER_40 |
transcript.pyannote[496].start |
4517.41784375 |
transcript.pyannote[496].end |
4537.44846875 |
transcript.pyannote[497].speaker |
SPEAKER_40 |
transcript.pyannote[497].start |
4537.75221875 |
transcript.pyannote[497].end |
4552.73721875 |
transcript.pyannote[498].speaker |
SPEAKER_40 |
transcript.pyannote[498].start |
4552.97346875 |
transcript.pyannote[498].end |
4564.02659375 |
transcript.pyannote[499].speaker |
SPEAKER_40 |
transcript.pyannote[499].start |
4564.43159375 |
transcript.pyannote[499].end |
4567.13159375 |
transcript.pyannote[500].speaker |
SPEAKER_40 |
transcript.pyannote[500].start |
4567.35096875 |
transcript.pyannote[500].end |
4576.00784375 |
transcript.pyannote[501].speaker |
SPEAKER_40 |
transcript.pyannote[501].start |
4576.91909375 |
transcript.pyannote[501].end |
4579.01159375 |
transcript.pyannote[502].speaker |
SPEAKER_40 |
transcript.pyannote[502].start |
4579.11284375 |
transcript.pyannote[502].end |
4585.76159375 |
transcript.pyannote[503].speaker |
SPEAKER_30 |
transcript.pyannote[503].start |
4585.76159375 |
transcript.pyannote[503].end |
4586.09909375 |
transcript.pyannote[504].speaker |
SPEAKER_40 |
transcript.pyannote[504].start |
4586.01471875 |
transcript.pyannote[504].end |
4599.22784375 |
transcript.pyannote[505].speaker |
SPEAKER_40 |
transcript.pyannote[505].start |
4599.56534375 |
transcript.pyannote[505].end |
4605.03284375 |
transcript.pyannote[506].speaker |
SPEAKER_40 |
transcript.pyannote[506].start |
4605.20159375 |
transcript.pyannote[506].end |
4605.64034375 |
transcript.pyannote[507].speaker |
SPEAKER_40 |
transcript.pyannote[507].start |
4606.19721875 |
transcript.pyannote[507].end |
4610.73659375 |
transcript.pyannote[508].speaker |
SPEAKER_16 |
transcript.pyannote[508].start |
4611.27659375 |
transcript.pyannote[508].end |
4613.79096875 |
transcript.pyannote[509].speaker |
SPEAKER_16 |
transcript.pyannote[509].start |
4614.04409375 |
transcript.pyannote[509].end |
4628.33721875 |
transcript.pyannote[510].speaker |
SPEAKER_40 |
transcript.pyannote[510].start |
4627.72971875 |
transcript.pyannote[510].end |
4628.05034375 |
transcript.pyannote[511].speaker |
SPEAKER_30 |
transcript.pyannote[511].start |
4628.62409375 |
transcript.pyannote[511].end |
4628.65784375 |
transcript.pyannote[512].speaker |
SPEAKER_40 |
transcript.pyannote[512].start |
4628.65784375 |
transcript.pyannote[512].end |
4629.29909375 |
transcript.pyannote[513].speaker |
SPEAKER_16 |
transcript.pyannote[513].start |
4628.80971875 |
transcript.pyannote[513].end |
4630.02471875 |
transcript.pyannote[514].speaker |
SPEAKER_40 |
transcript.pyannote[514].start |
4630.02471875 |
transcript.pyannote[514].end |
4650.93284375 |
transcript.pyannote[515].speaker |
SPEAKER_16 |
transcript.pyannote[515].start |
4632.31971875 |
transcript.pyannote[515].end |
4633.01159375 |
transcript.pyannote[516].speaker |
SPEAKER_00 |
transcript.pyannote[516].start |
4633.01159375 |
transcript.pyannote[516].end |
4633.28159375 |
transcript.pyannote[517].speaker |
SPEAKER_31 |
transcript.pyannote[517].start |
4634.04096875 |
transcript.pyannote[517].end |
4634.12534375 |
transcript.pyannote[518].speaker |
SPEAKER_16 |
transcript.pyannote[518].start |
4634.12534375 |
transcript.pyannote[518].end |
4634.96909375 |
transcript.pyannote[519].speaker |
SPEAKER_31 |
transcript.pyannote[519].start |
4634.96909375 |
transcript.pyannote[519].end |
4635.64409375 |
transcript.pyannote[520].speaker |
SPEAKER_18 |
transcript.pyannote[520].start |
4650.08909375 |
transcript.pyannote[520].end |
4651.38846875 |
transcript.pyannote[521].speaker |
SPEAKER_40 |
transcript.pyannote[521].start |
4651.38846875 |
transcript.pyannote[521].end |
4657.64909375 |
transcript.pyannote[522].speaker |
SPEAKER_18 |
transcript.pyannote[522].start |
4651.40534375 |
transcript.pyannote[522].end |
4652.01284375 |
transcript.pyannote[523].speaker |
SPEAKER_06 |
transcript.pyannote[523].start |
4655.40471875 |
transcript.pyannote[523].end |
4658.50971875 |
transcript.pyannote[524].speaker |
SPEAKER_40 |
transcript.pyannote[524].start |
4660.46721875 |
transcript.pyannote[524].end |
4660.50096875 |
transcript.pyannote[525].speaker |
SPEAKER_04 |
transcript.pyannote[525].start |
4660.50096875 |
transcript.pyannote[525].end |
4662.40784375 |
transcript.pyannote[526].speaker |
SPEAKER_04 |
transcript.pyannote[526].start |
4665.02346875 |
transcript.pyannote[526].end |
4667.04846875 |
transcript.pyannote[527].speaker |
SPEAKER_04 |
transcript.pyannote[527].start |
4667.62221875 |
transcript.pyannote[527].end |
4668.02721875 |
transcript.pyannote[528].speaker |
SPEAKER_18 |
transcript.pyannote[528].start |
4678.15221875 |
transcript.pyannote[528].end |
4684.22721875 |
transcript.pyannote[529].speaker |
SPEAKER_04 |
transcript.pyannote[529].start |
4681.39221875 |
transcript.pyannote[529].end |
4681.99971875 |
transcript.pyannote[530].speaker |
SPEAKER_04 |
transcript.pyannote[530].start |
4683.88971875 |
transcript.pyannote[530].end |
4684.85159375 |
transcript.pyannote[531].speaker |
SPEAKER_18 |
transcript.pyannote[531].start |
4687.70346875 |
transcript.pyannote[531].end |
4687.95659375 |
transcript.pyannote[532].speaker |
SPEAKER_18 |
transcript.pyannote[532].start |
4688.26034375 |
transcript.pyannote[532].end |
4688.78346875 |
transcript.pyannote[533].speaker |
SPEAKER_10 |
transcript.pyannote[533].start |
4688.78346875 |
transcript.pyannote[533].end |
4688.80034375 |
transcript.pyannote[534].speaker |
SPEAKER_10 |
transcript.pyannote[534].start |
4689.28971875 |
transcript.pyannote[534].end |
4689.30659375 |
transcript.pyannote[535].speaker |
SPEAKER_18 |
transcript.pyannote[535].start |
4689.30659375 |
transcript.pyannote[535].end |
4689.34034375 |
transcript.pyannote[536].speaker |
SPEAKER_10 |
transcript.pyannote[536].start |
4689.34034375 |
transcript.pyannote[536].end |
4695.97221875 |
transcript.pyannote[537].speaker |
SPEAKER_18 |
transcript.pyannote[537].start |
4696.09034375 |
transcript.pyannote[537].end |
4740.25221875 |
transcript.pyannote[538].speaker |
SPEAKER_18 |
transcript.pyannote[538].start |
4740.30284375 |
transcript.pyannote[538].end |
4771.94346875 |
transcript.pyannote[539].speaker |
SPEAKER_10 |
transcript.pyannote[539].start |
4770.15471875 |
transcript.pyannote[539].end |
4773.17534375 |
transcript.pyannote[540].speaker |
SPEAKER_18 |
transcript.pyannote[540].start |
4773.54659375 |
transcript.pyannote[540].end |
4774.67721875 |
transcript.pyannote[541].speaker |
SPEAKER_10 |
transcript.pyannote[541].start |
4774.20471875 |
transcript.pyannote[541].end |
4784.54909375 |
transcript.pyannote[542].speaker |
SPEAKER_18 |
transcript.pyannote[542].start |
4774.71096875 |
transcript.pyannote[542].end |
4775.55471875 |
transcript.pyannote[543].speaker |
SPEAKER_18 |
transcript.pyannote[543].start |
4785.08909375 |
transcript.pyannote[543].end |
4791.11346875 |
transcript.pyannote[544].speaker |
SPEAKER_43 |
transcript.pyannote[544].start |
4789.49346875 |
transcript.pyannote[544].end |
4789.67909375 |
transcript.pyannote[545].speaker |
SPEAKER_43 |
transcript.pyannote[545].start |
4792.48034375 |
transcript.pyannote[545].end |
4805.96346875 |
transcript.pyannote[546].speaker |
SPEAKER_10 |
transcript.pyannote[546].start |
4805.96346875 |
transcript.pyannote[546].end |
4807.63409375 |
transcript.pyannote[547].speaker |
SPEAKER_10 |
transcript.pyannote[547].start |
4808.44409375 |
transcript.pyannote[547].end |
4809.01784375 |
transcript.pyannote[548].speaker |
SPEAKER_10 |
transcript.pyannote[548].start |
4809.37221875 |
transcript.pyannote[548].end |
4810.50284375 |
transcript.pyannote[549].speaker |
SPEAKER_18 |
transcript.pyannote[549].start |
4810.50284375 |
transcript.pyannote[549].end |
4814.26596875 |
transcript.pyannote[550].speaker |
SPEAKER_03 |
transcript.pyannote[550].start |
4813.11846875 |
transcript.pyannote[550].end |
4824.10409375 |
transcript.pyannote[551].speaker |
SPEAKER_03 |
transcript.pyannote[551].start |
4824.47534375 |
transcript.pyannote[551].end |
4825.15034375 |
transcript.pyannote[552].speaker |
SPEAKER_03 |
transcript.pyannote[552].start |
4825.31909375 |
transcript.pyannote[552].end |
4836.11909375 |
transcript.pyannote[553].speaker |
SPEAKER_10 |
transcript.pyannote[553].start |
4831.27596875 |
transcript.pyannote[553].end |
4831.68096875 |
transcript.pyannote[554].speaker |
SPEAKER_10 |
transcript.pyannote[554].start |
4836.11909375 |
transcript.pyannote[554].end |
4836.25409375 |
transcript.pyannote[555].speaker |
SPEAKER_03 |
transcript.pyannote[555].start |
4836.25409375 |
transcript.pyannote[555].end |
4836.81096875 |
transcript.pyannote[556].speaker |
SPEAKER_10 |
transcript.pyannote[556].start |
4836.81096875 |
transcript.pyannote[556].end |
4836.84471875 |
transcript.pyannote[557].speaker |
SPEAKER_03 |
transcript.pyannote[557].start |
4836.84471875 |
transcript.pyannote[557].end |
4836.96284375 |
transcript.pyannote[558].speaker |
SPEAKER_10 |
transcript.pyannote[558].start |
4836.96284375 |
transcript.pyannote[558].end |
4837.16534375 |
transcript.pyannote[559].speaker |
SPEAKER_03 |
transcript.pyannote[559].start |
4837.16534375 |
transcript.pyannote[559].end |
4837.97534375 |
transcript.pyannote[560].speaker |
SPEAKER_10 |
transcript.pyannote[560].start |
4837.97534375 |
transcript.pyannote[560].end |
4838.51534375 |
transcript.pyannote[561].speaker |
SPEAKER_10 |
transcript.pyannote[561].start |
4839.34221875 |
transcript.pyannote[561].end |
4850.98596875 |
transcript.pyannote[562].speaker |
SPEAKER_11 |
transcript.pyannote[562].start |
4840.75971875 |
transcript.pyannote[562].end |
4841.04659375 |
transcript.pyannote[563].speaker |
SPEAKER_17 |
transcript.pyannote[563].start |
4850.98596875 |
transcript.pyannote[563].end |
4851.15471875 |
transcript.pyannote[564].speaker |
SPEAKER_10 |
transcript.pyannote[564].start |
4851.15471875 |
transcript.pyannote[564].end |
4854.83346875 |
transcript.pyannote[565].speaker |
SPEAKER_17 |
transcript.pyannote[565].start |
4851.17159375 |
transcript.pyannote[565].end |
4852.97721875 |
transcript.pyannote[566].speaker |
SPEAKER_18 |
transcript.pyannote[566].start |
4852.97721875 |
transcript.pyannote[566].end |
4853.48346875 |
transcript.pyannote[567].speaker |
SPEAKER_18 |
transcript.pyannote[567].start |
4856.72346875 |
transcript.pyannote[567].end |
4861.29659375 |
transcript.pyannote[568].speaker |
SPEAKER_03 |
transcript.pyannote[568].start |
4857.19596875 |
transcript.pyannote[568].end |
4857.36471875 |
transcript.pyannote[569].speaker |
SPEAKER_03 |
transcript.pyannote[569].start |
4858.00596875 |
transcript.pyannote[569].end |
4858.27596875 |
transcript.pyannote[570].speaker |
SPEAKER_18 |
transcript.pyannote[570].start |
4861.75221875 |
transcript.pyannote[570].end |
4873.96971875 |
transcript.pyannote[571].speaker |
SPEAKER_10 |
transcript.pyannote[571].start |
4870.42596875 |
transcript.pyannote[571].end |
4870.45971875 |
transcript.pyannote[572].speaker |
SPEAKER_31 |
transcript.pyannote[572].start |
4870.45971875 |
transcript.pyannote[572].end |
4870.47659375 |
transcript.pyannote[573].speaker |
SPEAKER_10 |
transcript.pyannote[573].start |
4870.47659375 |
transcript.pyannote[573].end |
4870.49346875 |
transcript.pyannote[574].speaker |
SPEAKER_10 |
transcript.pyannote[574].start |
4873.96971875 |
transcript.pyannote[574].end |
4877.98596875 |
transcript.pyannote[575].speaker |
SPEAKER_10 |
transcript.pyannote[575].start |
4878.59346875 |
transcript.pyannote[575].end |
4879.03221875 |
transcript.pyannote[576].speaker |
SPEAKER_18 |
transcript.pyannote[576].start |
4879.03221875 |
transcript.pyannote[576].end |
4889.81534375 |
transcript.pyannote[577].speaker |
SPEAKER_10 |
transcript.pyannote[577].start |
4886.17034375 |
transcript.pyannote[577].end |
4886.62596875 |
transcript.pyannote[578].speaker |
SPEAKER_18 |
transcript.pyannote[578].start |
4890.45659375 |
transcript.pyannote[578].end |
4891.97534375 |
transcript.pyannote[579].speaker |
SPEAKER_11 |
transcript.pyannote[579].start |
4891.97534375 |
transcript.pyannote[579].end |
4893.03846875 |
transcript.pyannote[580].speaker |
SPEAKER_10 |
transcript.pyannote[580].start |
4893.03846875 |
transcript.pyannote[580].end |
4896.63284375 |
transcript.pyannote[581].speaker |
SPEAKER_10 |
transcript.pyannote[581].start |
4897.35846875 |
transcript.pyannote[581].end |
4901.35784375 |
transcript.pyannote[582].speaker |
SPEAKER_10 |
transcript.pyannote[582].start |
4901.77971875 |
transcript.pyannote[582].end |
4905.03659375 |
transcript.pyannote[583].speaker |
SPEAKER_18 |
transcript.pyannote[583].start |
4905.03659375 |
transcript.pyannote[583].end |
4917.79409375 |
transcript.pyannote[584].speaker |
SPEAKER_18 |
transcript.pyannote[584].start |
4918.16534375 |
transcript.pyannote[584].end |
4919.86971875 |
transcript.pyannote[585].speaker |
SPEAKER_18 |
transcript.pyannote[585].start |
4920.39284375 |
transcript.pyannote[585].end |
4921.96221875 |
transcript.pyannote[586].speaker |
SPEAKER_10 |
transcript.pyannote[586].start |
4921.96221875 |
transcript.pyannote[586].end |
4922.02971875 |
transcript.pyannote[587].speaker |
SPEAKER_18 |
transcript.pyannote[587].start |
4922.02971875 |
transcript.pyannote[587].end |
4922.97471875 |
transcript.pyannote[588].speaker |
SPEAKER_10 |
transcript.pyannote[588].start |
4922.97471875 |
transcript.pyannote[588].end |
4923.97034375 |
transcript.pyannote[589].speaker |
SPEAKER_18 |
transcript.pyannote[589].start |
4923.97034375 |
transcript.pyannote[589].end |
4924.56096875 |
transcript.pyannote[590].speaker |
SPEAKER_10 |
transcript.pyannote[590].start |
4924.56096875 |
transcript.pyannote[590].end |
4924.71284375 |
transcript.pyannote[591].speaker |
SPEAKER_10 |
transcript.pyannote[591].start |
4925.28659375 |
transcript.pyannote[591].end |
4927.96971875 |
transcript.pyannote[592].speaker |
SPEAKER_11 |
transcript.pyannote[592].start |
4927.96971875 |
transcript.pyannote[592].end |
4929.20159375 |
transcript.pyannote[593].speaker |
SPEAKER_11 |
transcript.pyannote[593].start |
4929.62346875 |
transcript.pyannote[593].end |
4933.03221875 |
transcript.pyannote[594].speaker |
SPEAKER_18 |
transcript.pyannote[594].start |
4933.03221875 |
transcript.pyannote[594].end |
4948.05096875 |
transcript.pyannote[595].speaker |
SPEAKER_18 |
transcript.pyannote[595].start |
4948.52346875 |
transcript.pyannote[595].end |
4951.30784375 |
transcript.pyannote[596].speaker |
SPEAKER_18 |
transcript.pyannote[596].start |
4952.64096875 |
transcript.pyannote[596].end |
4972.18221875 |
transcript.pyannote[597].speaker |
SPEAKER_18 |
transcript.pyannote[597].start |
4972.48596875 |
transcript.pyannote[597].end |
4973.24534375 |
transcript.pyannote[598].speaker |
SPEAKER_18 |
transcript.pyannote[598].start |
4974.69659375 |
transcript.pyannote[598].end |
4975.21971875 |
transcript.pyannote[599].speaker |
SPEAKER_18 |
transcript.pyannote[599].start |
4975.42221875 |
transcript.pyannote[599].end |
4978.07159375 |
transcript.pyannote[600].speaker |
SPEAKER_31 |
transcript.pyannote[600].start |
4978.07159375 |
transcript.pyannote[600].end |
4978.27409375 |
transcript.pyannote[601].speaker |
SPEAKER_18 |
transcript.pyannote[601].start |
4978.79721875 |
transcript.pyannote[601].end |
4980.48471875 |
transcript.pyannote[602].speaker |
SPEAKER_18 |
transcript.pyannote[602].start |
4980.90659375 |
transcript.pyannote[602].end |
4998.62534375 |
transcript.pyannote[603].speaker |
SPEAKER_18 |
transcript.pyannote[603].start |
4999.70534375 |
transcript.pyannote[603].end |
5010.99471875 |
transcript.pyannote[604].speaker |
SPEAKER_31 |
transcript.pyannote[604].start |
5010.99471875 |
transcript.pyannote[604].end |
5011.14659375 |
transcript.pyannote[605].speaker |
SPEAKER_18 |
transcript.pyannote[605].start |
5011.14659375 |
transcript.pyannote[605].end |
5014.97721875 |
transcript.pyannote[606].speaker |
SPEAKER_31 |
transcript.pyannote[606].start |
5011.18034375 |
transcript.pyannote[606].end |
5011.19721875 |
transcript.pyannote[607].speaker |
SPEAKER_10 |
transcript.pyannote[607].start |
5014.97721875 |
transcript.pyannote[607].end |
5021.06909375 |
transcript.pyannote[608].speaker |
SPEAKER_10 |
transcript.pyannote[608].start |
5021.50784375 |
transcript.pyannote[608].end |
5025.03471875 |
transcript.pyannote[609].speaker |
SPEAKER_18 |
transcript.pyannote[609].start |
5025.03471875 |
transcript.pyannote[609].end |
5047.93409375 |
transcript.pyannote[610].speaker |
SPEAKER_31 |
transcript.pyannote[610].start |
5046.82034375 |
transcript.pyannote[610].end |
5046.87096875 |
transcript.pyannote[611].speaker |
SPEAKER_31 |
transcript.pyannote[611].start |
5046.90471875 |
transcript.pyannote[611].end |
5046.93846875 |
transcript.pyannote[612].speaker |
SPEAKER_18 |
transcript.pyannote[612].start |
5048.67659375 |
transcript.pyannote[612].end |
5049.70596875 |
transcript.pyannote[613].speaker |
SPEAKER_11 |
transcript.pyannote[613].start |
5049.70596875 |
transcript.pyannote[613].end |
5049.90846875 |
transcript.pyannote[614].speaker |
SPEAKER_18 |
transcript.pyannote[614].start |
5049.90846875 |
transcript.pyannote[614].end |
5049.97596875 |
transcript.pyannote[615].speaker |
SPEAKER_11 |
transcript.pyannote[615].start |
5049.97596875 |
transcript.pyannote[615].end |
5055.05534375 |
transcript.pyannote[616].speaker |
SPEAKER_24 |
transcript.pyannote[616].start |
5055.05534375 |
transcript.pyannote[616].end |
5055.10596875 |
transcript.pyannote[617].speaker |
SPEAKER_11 |
transcript.pyannote[617].start |
5055.79784375 |
transcript.pyannote[617].end |
5055.81471875 |
transcript.pyannote[618].speaker |
SPEAKER_24 |
transcript.pyannote[618].start |
5055.81471875 |
transcript.pyannote[618].end |
5063.96534375 |
transcript.pyannote[619].speaker |
SPEAKER_18 |
transcript.pyannote[619].start |
5063.96534375 |
transcript.pyannote[619].end |
5064.03284375 |
transcript.pyannote[620].speaker |
SPEAKER_10 |
transcript.pyannote[620].start |
5064.03284375 |
transcript.pyannote[620].end |
5064.23534375 |
transcript.pyannote[621].speaker |
SPEAKER_18 |
transcript.pyannote[621].start |
5064.23534375 |
transcript.pyannote[621].end |
5064.26909375 |
transcript.pyannote[622].speaker |
SPEAKER_18 |
transcript.pyannote[622].start |
5064.67409375 |
transcript.pyannote[622].end |
5064.69096875 |
transcript.pyannote[623].speaker |
SPEAKER_10 |
transcript.pyannote[623].start |
5064.69096875 |
transcript.pyannote[623].end |
5067.22221875 |
transcript.pyannote[624].speaker |
SPEAKER_10 |
transcript.pyannote[624].start |
5067.69471875 |
transcript.pyannote[624].end |
5071.96409375 |
transcript.pyannote[625].speaker |
SPEAKER_15 |
transcript.pyannote[625].start |
5071.96409375 |
transcript.pyannote[625].end |
5072.03159375 |
transcript.pyannote[626].speaker |
SPEAKER_10 |
transcript.pyannote[626].start |
5072.03159375 |
transcript.pyannote[626].end |
5072.97659375 |
transcript.pyannote[627].speaker |
SPEAKER_15 |
transcript.pyannote[627].start |
5072.97659375 |
transcript.pyannote[627].end |
5073.02721875 |
transcript.pyannote[628].speaker |
SPEAKER_11 |
transcript.pyannote[628].start |
5073.02721875 |
transcript.pyannote[628].end |
5074.02284375 |
transcript.pyannote[629].speaker |
SPEAKER_15 |
transcript.pyannote[629].start |
5074.02284375 |
transcript.pyannote[629].end |
5074.96784375 |
transcript.pyannote[630].speaker |
SPEAKER_11 |
transcript.pyannote[630].start |
5074.96784375 |
transcript.pyannote[630].end |
5078.03909375 |
transcript.pyannote[631].speaker |
SPEAKER_18 |
transcript.pyannote[631].start |
5078.03909375 |
transcript.pyannote[631].end |
5080.03034375 |
transcript.pyannote[632].speaker |
SPEAKER_11 |
transcript.pyannote[632].start |
5080.03034375 |
transcript.pyannote[632].end |
5080.97534375 |
transcript.pyannote[633].speaker |
SPEAKER_18 |
transcript.pyannote[633].start |
5080.97534375 |
transcript.pyannote[633].end |
5089.02471875 |
transcript.pyannote[634].speaker |
SPEAKER_15 |
transcript.pyannote[634].start |
5089.02471875 |
transcript.pyannote[634].end |
5089.05846875 |
transcript.pyannote[635].speaker |
SPEAKER_18 |
transcript.pyannote[635].start |
5089.05846875 |
transcript.pyannote[635].end |
5089.12596875 |
transcript.pyannote[636].speaker |
SPEAKER_15 |
transcript.pyannote[636].start |
5089.12596875 |
transcript.pyannote[636].end |
5089.14284375 |
transcript.pyannote[637].speaker |
SPEAKER_15 |
transcript.pyannote[637].start |
5089.86846875 |
transcript.pyannote[637].end |
5090.03721875 |
transcript.pyannote[638].speaker |
SPEAKER_18 |
transcript.pyannote[638].start |
5090.03721875 |
transcript.pyannote[638].end |
5090.96534375 |
transcript.pyannote[639].speaker |
SPEAKER_15 |
transcript.pyannote[639].start |
5090.96534375 |
transcript.pyannote[639].end |
5092.92284375 |
transcript.pyannote[640].speaker |
SPEAKER_18 |
transcript.pyannote[640].start |
5092.92284375 |
transcript.pyannote[640].end |
5093.96909375 |
transcript.pyannote[641].speaker |
SPEAKER_15 |
transcript.pyannote[641].start |
5093.96909375 |
transcript.pyannote[641].end |
5095.03221875 |
transcript.pyannote[642].speaker |
SPEAKER_11 |
transcript.pyannote[642].start |
5095.03221875 |
transcript.pyannote[642].end |
5097.02346875 |
transcript.pyannote[643].speaker |
SPEAKER_18 |
transcript.pyannote[643].start |
5097.02346875 |
transcript.pyannote[643].end |
5097.34409375 |
transcript.pyannote[644].speaker |
SPEAKER_31 |
transcript.pyannote[644].start |
5097.34409375 |
transcript.pyannote[644].end |
5097.63096875 |
transcript.pyannote[645].speaker |
SPEAKER_18 |
transcript.pyannote[645].start |
5097.63096875 |
transcript.pyannote[645].end |
5100.61784375 |
transcript.pyannote[646].speaker |
SPEAKER_18 |
transcript.pyannote[646].start |
5100.87096875 |
transcript.pyannote[646].end |
5108.97096875 |
transcript.pyannote[647].speaker |
SPEAKER_11 |
transcript.pyannote[647].start |
5108.97096875 |
transcript.pyannote[647].end |
5110.03409375 |
transcript.pyannote[648].speaker |
SPEAKER_18 |
transcript.pyannote[648].start |
5110.03409375 |
transcript.pyannote[648].end |
5122.97721875 |
transcript.pyannote[649].speaker |
SPEAKER_11 |
transcript.pyannote[649].start |
5110.06784375 |
transcript.pyannote[649].end |
5110.64159375 |
transcript.pyannote[650].speaker |
SPEAKER_11 |
transcript.pyannote[650].start |
5111.43471875 |
transcript.pyannote[650].end |
5112.66659375 |
transcript.pyannote[651].speaker |
SPEAKER_11 |
transcript.pyannote[651].start |
5117.99909375 |
transcript.pyannote[651].end |
5118.84284375 |
transcript.pyannote[652].speaker |
SPEAKER_10 |
transcript.pyannote[652].start |
5122.97721875 |
transcript.pyannote[652].end |
5123.87159375 |
transcript.pyannote[653].speaker |
SPEAKER_18 |
transcript.pyannote[653].start |
5124.05721875 |
transcript.pyannote[653].end |
5152.47471875 |
transcript.pyannote[654].speaker |
SPEAKER_26 |
transcript.pyannote[654].start |
5139.48096875 |
transcript.pyannote[654].end |
5139.73409375 |
transcript.pyannote[655].speaker |
SPEAKER_10 |
transcript.pyannote[655].start |
5148.96471875 |
transcript.pyannote[655].end |
5149.55534375 |
transcript.pyannote[656].speaker |
SPEAKER_04 |
transcript.pyannote[656].start |
5157.04784375 |
transcript.pyannote[656].end |
5158.00971875 |
transcript.pyannote[657].speaker |
SPEAKER_04 |
transcript.pyannote[657].start |
5158.92096875 |
transcript.pyannote[657].end |
5161.24971875 |
transcript.pyannote[658].speaker |
SPEAKER_15 |
transcript.pyannote[658].start |
5170.21034375 |
transcript.pyannote[658].end |
5172.23534375 |
transcript.pyannote[659].speaker |
SPEAKER_15 |
transcript.pyannote[659].start |
5172.65721875 |
transcript.pyannote[659].end |
5173.18034375 |
transcript.pyannote[660].speaker |
SPEAKER_15 |
transcript.pyannote[660].start |
5173.78784375 |
transcript.pyannote[660].end |
5175.08721875 |
transcript.pyannote[661].speaker |
SPEAKER_15 |
transcript.pyannote[661].start |
5175.13784375 |
transcript.pyannote[661].end |
5175.91409375 |
transcript.pyannote[662].speaker |
SPEAKER_15 |
transcript.pyannote[662].start |
5178.42846875 |
transcript.pyannote[662].end |
5179.35659375 |
transcript.pyannote[663].speaker |
SPEAKER_15 |
transcript.pyannote[663].start |
5180.35221875 |
transcript.pyannote[663].end |
5183.22096875 |
transcript.pyannote[664].speaker |
SPEAKER_04 |
transcript.pyannote[664].start |
5183.40659375 |
transcript.pyannote[664].end |
5184.43596875 |
transcript.pyannote[665].speaker |
SPEAKER_15 |
transcript.pyannote[665].start |
5196.13034375 |
transcript.pyannote[665].end |
5197.31159375 |
transcript.pyannote[666].speaker |
SPEAKER_18 |
transcript.pyannote[666].start |
5197.31159375 |
transcript.pyannote[666].end |
5197.48034375 |
transcript.pyannote[667].speaker |
SPEAKER_15 |
transcript.pyannote[667].start |
5197.48034375 |
transcript.pyannote[667].end |
5197.51409375 |
transcript.pyannote[668].speaker |
SPEAKER_18 |
transcript.pyannote[668].start |
5197.51409375 |
transcript.pyannote[668].end |
5197.53096875 |
transcript.pyannote[669].speaker |
SPEAKER_15 |
transcript.pyannote[669].start |
5197.53096875 |
transcript.pyannote[669].end |
5212.56659375 |
transcript.pyannote[670].speaker |
SPEAKER_15 |
transcript.pyannote[670].start |
5212.65096875 |
transcript.pyannote[670].end |
5231.26409375 |
transcript.pyannote[671].speaker |
SPEAKER_18 |
transcript.pyannote[671].start |
5231.38221875 |
transcript.pyannote[671].end |
5231.75346875 |
transcript.pyannote[672].speaker |
SPEAKER_15 |
transcript.pyannote[672].start |
5231.63534375 |
transcript.pyannote[672].end |
5234.97659375 |
transcript.pyannote[673].speaker |
SPEAKER_18 |
transcript.pyannote[673].start |
5234.58846875 |
transcript.pyannote[673].end |
5234.95971875 |
transcript.pyannote[674].speaker |
SPEAKER_18 |
transcript.pyannote[674].start |
5234.97659375 |
transcript.pyannote[674].end |
5237.62596875 |
transcript.pyannote[675].speaker |
SPEAKER_15 |
transcript.pyannote[675].start |
5235.78659375 |
transcript.pyannote[675].end |
5236.03971875 |
transcript.pyannote[676].speaker |
SPEAKER_15 |
transcript.pyannote[676].start |
5236.57971875 |
transcript.pyannote[676].end |
5236.78221875 |
transcript.pyannote[677].speaker |
SPEAKER_15 |
transcript.pyannote[677].start |
5237.62596875 |
transcript.pyannote[677].end |
5240.07284375 |
transcript.pyannote[678].speaker |
SPEAKER_15 |
transcript.pyannote[678].start |
5240.93346875 |
transcript.pyannote[678].end |
5242.04721875 |
transcript.pyannote[679].speaker |
SPEAKER_15 |
transcript.pyannote[679].start |
5242.43534375 |
transcript.pyannote[679].end |
5246.28284375 |
transcript.pyannote[680].speaker |
SPEAKER_15 |
transcript.pyannote[680].start |
5246.80596875 |
transcript.pyannote[680].end |
5249.80971875 |
transcript.pyannote[681].speaker |
SPEAKER_15 |
transcript.pyannote[681].start |
5249.87721875 |
transcript.pyannote[681].end |
5251.88534375 |
transcript.pyannote[682].speaker |
SPEAKER_15 |
transcript.pyannote[682].start |
5252.27346875 |
transcript.pyannote[682].end |
5254.85534375 |
transcript.pyannote[683].speaker |
SPEAKER_15 |
transcript.pyannote[683].start |
5255.14221875 |
transcript.pyannote[683].end |
5257.84221875 |
transcript.pyannote[684].speaker |
SPEAKER_15 |
transcript.pyannote[684].start |
5258.07846875 |
transcript.pyannote[684].end |
5259.74909375 |
transcript.pyannote[685].speaker |
SPEAKER_15 |
transcript.pyannote[685].start |
5260.12034375 |
transcript.pyannote[685].end |
5261.14971875 |
transcript.pyannote[686].speaker |
SPEAKER_15 |
transcript.pyannote[686].start |
5261.68971875 |
transcript.pyannote[686].end |
5272.92846875 |
transcript.pyannote[687].speaker |
SPEAKER_15 |
transcript.pyannote[687].start |
5273.18159375 |
transcript.pyannote[687].end |
5288.99346875 |
transcript.pyannote[688].speaker |
SPEAKER_15 |
transcript.pyannote[688].start |
5289.53346875 |
transcript.pyannote[688].end |
5291.25471875 |
transcript.pyannote[689].speaker |
SPEAKER_15 |
transcript.pyannote[689].start |
5291.99721875 |
transcript.pyannote[689].end |
5292.80721875 |
transcript.pyannote[690].speaker |
SPEAKER_15 |
transcript.pyannote[690].start |
5293.17846875 |
transcript.pyannote[690].end |
5298.94971875 |
transcript.pyannote[691].speaker |
SPEAKER_15 |
transcript.pyannote[691].start |
5299.64159375 |
transcript.pyannote[691].end |
5312.21346875 |
transcript.pyannote[692].speaker |
SPEAKER_15 |
transcript.pyannote[692].start |
5312.88846875 |
transcript.pyannote[692].end |
5318.37284375 |
transcript.pyannote[693].speaker |
SPEAKER_15 |
transcript.pyannote[693].start |
5318.59221875 |
transcript.pyannote[693].end |
5320.12784375 |
transcript.pyannote[694].speaker |
SPEAKER_18 |
transcript.pyannote[694].start |
5320.12784375 |
transcript.pyannote[694].end |
5320.19534375 |
transcript.pyannote[695].speaker |
SPEAKER_15 |
transcript.pyannote[695].start |
5320.19534375 |
transcript.pyannote[695].end |
5320.31346875 |
transcript.pyannote[696].speaker |
SPEAKER_18 |
transcript.pyannote[696].start |
5320.31346875 |
transcript.pyannote[696].end |
5320.33034375 |
transcript.pyannote[697].speaker |
SPEAKER_18 |
transcript.pyannote[697].start |
5321.37659375 |
transcript.pyannote[697].end |
5383.88159375 |
transcript.pyannote[698].speaker |
SPEAKER_15 |
transcript.pyannote[698].start |
5383.88159375 |
transcript.pyannote[698].end |
5384.86034375 |
transcript.pyannote[699].speaker |
SPEAKER_30 |
transcript.pyannote[699].start |
5384.86034375 |
transcript.pyannote[699].end |
5385.19784375 |
transcript.pyannote[700].speaker |
SPEAKER_15 |
transcript.pyannote[700].start |
5385.19784375 |
transcript.pyannote[700].end |
5414.39159375 |
transcript.pyannote[701].speaker |
SPEAKER_31 |
transcript.pyannote[701].start |
5414.32409375 |
transcript.pyannote[701].end |
5414.79659375 |
transcript.pyannote[702].speaker |
SPEAKER_15 |
transcript.pyannote[702].start |
5414.69534375 |
transcript.pyannote[702].end |
5419.92659375 |
transcript.pyannote[703].speaker |
SPEAKER_31 |
transcript.pyannote[703].start |
5418.03659375 |
transcript.pyannote[703].end |
5418.07034375 |
transcript.pyannote[704].speaker |
SPEAKER_31 |
transcript.pyannote[704].start |
5418.10409375 |
transcript.pyannote[704].end |
5418.20534375 |
transcript.pyannote[705].speaker |
SPEAKER_15 |
transcript.pyannote[705].start |
5420.41596875 |
transcript.pyannote[705].end |
5438.77596875 |
transcript.pyannote[706].speaker |
SPEAKER_15 |
transcript.pyannote[706].start |
5439.31596875 |
transcript.pyannote[706].end |
5461.06784375 |
transcript.pyannote[707].speaker |
SPEAKER_18 |
transcript.pyannote[707].start |
5461.06784375 |
transcript.pyannote[707].end |
5476.01909375 |
transcript.pyannote[708].speaker |
SPEAKER_15 |
transcript.pyannote[708].start |
5461.79346875 |
transcript.pyannote[708].end |
5462.21534375 |
transcript.pyannote[709].speaker |
SPEAKER_15 |
transcript.pyannote[709].start |
5464.24034375 |
transcript.pyannote[709].end |
5464.64534375 |
transcript.pyannote[710].speaker |
SPEAKER_15 |
transcript.pyannote[710].start |
5472.57659375 |
transcript.pyannote[710].end |
5474.95596875 |
transcript.pyannote[711].speaker |
SPEAKER_15 |
transcript.pyannote[711].start |
5475.56346875 |
transcript.pyannote[711].end |
5512.11471875 |
transcript.pyannote[712].speaker |
SPEAKER_18 |
transcript.pyannote[712].start |
5480.84534375 |
transcript.pyannote[712].end |
5480.87909375 |
transcript.pyannote[713].speaker |
SPEAKER_30 |
transcript.pyannote[713].start |
5480.87909375 |
transcript.pyannote[713].end |
5481.13221875 |
transcript.pyannote[714].speaker |
SPEAKER_18 |
transcript.pyannote[714].start |
5481.13221875 |
transcript.pyannote[714].end |
5481.14909375 |
transcript.pyannote[715].speaker |
SPEAKER_15 |
transcript.pyannote[715].start |
5512.43534375 |
transcript.pyannote[715].end |
5513.04284375 |
transcript.pyannote[716].speaker |
SPEAKER_15 |
transcript.pyannote[716].start |
5513.75159375 |
transcript.pyannote[716].end |
5514.30846875 |
transcript.pyannote[717].speaker |
SPEAKER_15 |
transcript.pyannote[717].start |
5514.67971875 |
transcript.pyannote[717].end |
5515.33784375 |
transcript.pyannote[718].speaker |
SPEAKER_15 |
transcript.pyannote[718].start |
5515.87784375 |
transcript.pyannote[718].end |
5516.55284375 |
transcript.pyannote[719].speaker |
SPEAKER_15 |
transcript.pyannote[719].start |
5517.32909375 |
transcript.pyannote[719].end |
5517.98721875 |
transcript.pyannote[720].speaker |
SPEAKER_15 |
transcript.pyannote[720].start |
5518.18971875 |
transcript.pyannote[720].end |
5518.59471875 |
transcript.pyannote[721].speaker |
SPEAKER_15 |
transcript.pyannote[721].start |
5518.79721875 |
transcript.pyannote[721].end |
5520.13034375 |
transcript.pyannote[722].speaker |
SPEAKER_16 |
transcript.pyannote[722].start |
5520.13034375 |
transcript.pyannote[722].end |
5520.18096875 |
transcript.pyannote[723].speaker |
SPEAKER_16 |
transcript.pyannote[723].start |
5520.90659375 |
transcript.pyannote[723].end |
5522.35784375 |
transcript.pyannote[724].speaker |
SPEAKER_16 |
transcript.pyannote[724].start |
5522.42534375 |
transcript.pyannote[724].end |
5530.05284375 |
transcript.pyannote[725].speaker |
SPEAKER_15 |
transcript.pyannote[725].start |
5522.77971875 |
transcript.pyannote[725].end |
5523.35346875 |
transcript.pyannote[726].speaker |
SPEAKER_15 |
transcript.pyannote[726].start |
5524.31534375 |
transcript.pyannote[726].end |
5524.46721875 |
transcript.pyannote[727].speaker |
SPEAKER_16 |
transcript.pyannote[727].start |
5530.22159375 |
transcript.pyannote[727].end |
5539.45221875 |
transcript.pyannote[728].speaker |
SPEAKER_15 |
transcript.pyannote[728].start |
5530.28909375 |
transcript.pyannote[728].end |
5530.74471875 |
transcript.pyannote[729].speaker |
SPEAKER_15 |
transcript.pyannote[729].start |
5533.98471875 |
transcript.pyannote[729].end |
5536.83659375 |
transcript.pyannote[730].speaker |
SPEAKER_15 |
transcript.pyannote[730].start |
5537.81534375 |
transcript.pyannote[730].end |
5550.01596875 |
transcript.pyannote[731].speaker |
SPEAKER_15 |
transcript.pyannote[731].start |
5550.52221875 |
transcript.pyannote[731].end |
5551.46721875 |
transcript.pyannote[732].speaker |
SPEAKER_15 |
transcript.pyannote[732].start |
5551.70346875 |
transcript.pyannote[732].end |
5579.41221875 |
transcript.pyannote[733].speaker |
SPEAKER_15 |
transcript.pyannote[733].start |
5579.58096875 |
transcript.pyannote[733].end |
5602.02471875 |
transcript.pyannote[734].speaker |
SPEAKER_00 |
transcript.pyannote[734].start |
5588.13659375 |
transcript.pyannote[734].end |
5588.38971875 |
transcript.pyannote[735].speaker |
SPEAKER_30 |
transcript.pyannote[735].start |
5588.38971875 |
transcript.pyannote[735].end |
5588.96346875 |
transcript.pyannote[736].speaker |
SPEAKER_00 |
transcript.pyannote[736].start |
5588.96346875 |
transcript.pyannote[736].end |
5591.30909375 |
transcript.pyannote[737].speaker |
SPEAKER_00 |
transcript.pyannote[737].start |
5591.47784375 |
transcript.pyannote[737].end |
5591.69721875 |
transcript.pyannote[738].speaker |
SPEAKER_00 |
transcript.pyannote[738].start |
5591.83221875 |
transcript.pyannote[738].end |
5592.13596875 |
transcript.pyannote[739].speaker |
SPEAKER_15 |
transcript.pyannote[739].start |
5602.21034375 |
transcript.pyannote[739].end |
5610.96846875 |
transcript.pyannote[740].speaker |
SPEAKER_15 |
transcript.pyannote[740].start |
5611.08659375 |
transcript.pyannote[740].end |
5615.96346875 |
transcript.pyannote[741].speaker |
SPEAKER_16 |
transcript.pyannote[741].start |
5615.96346875 |
transcript.pyannote[741].end |
5616.23346875 |
transcript.pyannote[742].speaker |
SPEAKER_15 |
transcript.pyannote[742].start |
5616.01409375 |
transcript.pyannote[742].end |
5619.55784375 |
transcript.pyannote[743].speaker |
SPEAKER_15 |
transcript.pyannote[743].start |
5621.56596875 |
transcript.pyannote[743].end |
5622.42659375 |
transcript.pyannote[744].speaker |
SPEAKER_15 |
transcript.pyannote[744].start |
5623.15221875 |
transcript.pyannote[744].end |
5623.91159375 |
transcript.pyannote[745].speaker |
SPEAKER_15 |
transcript.pyannote[745].start |
5624.18159375 |
transcript.pyannote[745].end |
5626.67909375 |
transcript.pyannote[746].speaker |
SPEAKER_15 |
transcript.pyannote[746].start |
5626.96596875 |
transcript.pyannote[746].end |
5630.15534375 |
transcript.pyannote[747].speaker |
SPEAKER_15 |
transcript.pyannote[747].start |
5630.35784375 |
transcript.pyannote[747].end |
5640.41534375 |
transcript.pyannote[748].speaker |
SPEAKER_16 |
transcript.pyannote[748].start |
5641.42784375 |
transcript.pyannote[748].end |
5642.32221875 |
transcript.pyannote[749].speaker |
SPEAKER_15 |
transcript.pyannote[749].start |
5641.74846875 |
transcript.pyannote[749].end |
5643.30096875 |
transcript.pyannote[750].speaker |
SPEAKER_15 |
transcript.pyannote[750].start |
5644.04346875 |
transcript.pyannote[750].end |
5644.60034375 |
transcript.pyannote[751].speaker |
SPEAKER_15 |
transcript.pyannote[751].start |
5644.97159375 |
transcript.pyannote[751].end |
5660.91846875 |
transcript.pyannote[752].speaker |
SPEAKER_26 |
transcript.pyannote[752].start |
5661.74534375 |
transcript.pyannote[752].end |
5712.03284375 |
transcript.pyannote[753].speaker |
SPEAKER_22 |
transcript.pyannote[753].start |
5706.02534375 |
transcript.pyannote[753].end |
5706.10971875 |
transcript.pyannote[754].speaker |
SPEAKER_10 |
transcript.pyannote[754].start |
5706.10971875 |
transcript.pyannote[754].end |
5706.27846875 |
transcript.pyannote[755].speaker |
SPEAKER_15 |
transcript.pyannote[755].start |
5706.27846875 |
transcript.pyannote[755].end |
5706.34596875 |
transcript.pyannote[756].speaker |
SPEAKER_10 |
transcript.pyannote[756].start |
5706.34596875 |
transcript.pyannote[756].end |
5706.48096875 |
transcript.pyannote[757].speaker |
SPEAKER_15 |
transcript.pyannote[757].start |
5708.37096875 |
transcript.pyannote[757].end |
5709.29909375 |
transcript.pyannote[758].speaker |
SPEAKER_15 |
transcript.pyannote[758].start |
5712.03284375 |
transcript.pyannote[758].end |
5729.76846875 |
transcript.pyannote[759].speaker |
SPEAKER_26 |
transcript.pyannote[759].start |
5713.56846875 |
transcript.pyannote[759].end |
5714.02409375 |
transcript.pyannote[760].speaker |
SPEAKER_15 |
transcript.pyannote[760].start |
5729.92034375 |
transcript.pyannote[760].end |
5735.96159375 |
transcript.pyannote[761].speaker |
SPEAKER_18 |
transcript.pyannote[761].start |
5735.96159375 |
transcript.pyannote[761].end |
5736.01221875 |
transcript.pyannote[762].speaker |
SPEAKER_18 |
transcript.pyannote[762].start |
5736.55221875 |
transcript.pyannote[762].end |
5744.39909375 |
transcript.pyannote[763].speaker |
SPEAKER_15 |
transcript.pyannote[763].start |
5741.86784375 |
transcript.pyannote[763].end |
5746.37346875 |
transcript.pyannote[764].speaker |
SPEAKER_18 |
transcript.pyannote[764].start |
5745.73221875 |
transcript.pyannote[764].end |
5755.99221875 |
transcript.pyannote[765].speaker |
SPEAKER_15 |
transcript.pyannote[765].start |
5756.05971875 |
transcript.pyannote[765].end |
5770.15034375 |
transcript.pyannote[766].speaker |
SPEAKER_15 |
transcript.pyannote[766].start |
5770.52159375 |
transcript.pyannote[766].end |
5775.70221875 |
transcript.pyannote[767].speaker |
SPEAKER_15 |
transcript.pyannote[767].start |
5776.49534375 |
transcript.pyannote[767].end |
5777.25471875 |
transcript.pyannote[768].speaker |
SPEAKER_15 |
transcript.pyannote[768].start |
5778.38534375 |
transcript.pyannote[768].end |
5784.46034375 |
transcript.pyannote[769].speaker |
SPEAKER_15 |
transcript.pyannote[769].start |
5784.94971875 |
transcript.pyannote[769].end |
5795.85096875 |
transcript.pyannote[770].speaker |
SPEAKER_15 |
transcript.pyannote[770].start |
5796.07034375 |
transcript.pyannote[770].end |
5797.11659375 |
transcript.pyannote[771].speaker |
SPEAKER_15 |
transcript.pyannote[771].start |
5797.47096875 |
transcript.pyannote[771].end |
5803.79909375 |
transcript.pyannote[772].speaker |
SPEAKER_15 |
transcript.pyannote[772].start |
5804.15346875 |
transcript.pyannote[772].end |
5834.68034375 |
transcript.pyannote[773].speaker |
SPEAKER_15 |
transcript.pyannote[773].start |
5835.01784375 |
transcript.pyannote[773].end |
5890.62096875 |
transcript.pyannote[774].speaker |
SPEAKER_31 |
transcript.pyannote[774].start |
5877.54284375 |
transcript.pyannote[774].end |
5877.79596875 |
transcript.pyannote[775].speaker |
SPEAKER_00 |
transcript.pyannote[775].start |
5877.79596875 |
transcript.pyannote[775].end |
5877.84659375 |
transcript.pyannote[776].speaker |
SPEAKER_31 |
transcript.pyannote[776].start |
5885.00159375 |
transcript.pyannote[776].end |
5886.03096875 |
transcript.pyannote[777].speaker |
SPEAKER_31 |
transcript.pyannote[777].start |
5887.16159375 |
transcript.pyannote[777].end |
5888.34284375 |
transcript.pyannote[778].speaker |
SPEAKER_31 |
transcript.pyannote[778].start |
5890.14846875 |
transcript.pyannote[778].end |
5891.02596875 |
transcript.pyannote[779].speaker |
SPEAKER_15 |
transcript.pyannote[779].start |
5890.97534375 |
transcript.pyannote[779].end |
5900.47596875 |
transcript.pyannote[780].speaker |
SPEAKER_04 |
transcript.pyannote[780].start |
5899.56471875 |
transcript.pyannote[780].end |
5899.59846875 |
transcript.pyannote[781].speaker |
SPEAKER_20 |
transcript.pyannote[781].start |
5899.59846875 |
transcript.pyannote[781].end |
5900.49284375 |
transcript.pyannote[782].speaker |
SPEAKER_15 |
transcript.pyannote[782].start |
5900.49284375 |
transcript.pyannote[782].end |
5901.03284375 |
transcript.pyannote[783].speaker |
SPEAKER_04 |
transcript.pyannote[783].start |
5901.03284375 |
transcript.pyannote[783].end |
5901.23534375 |
transcript.pyannote[784].speaker |
SPEAKER_20 |
transcript.pyannote[784].start |
5901.23534375 |
transcript.pyannote[784].end |
5901.72471875 |
transcript.pyannote[785].speaker |
SPEAKER_04 |
transcript.pyannote[785].start |
5904.00284375 |
transcript.pyannote[785].end |
5907.27659375 |
transcript.pyannote[786].speaker |
SPEAKER_37 |
transcript.pyannote[786].start |
5914.71846875 |
transcript.pyannote[786].end |
5918.65034375 |
transcript.pyannote[787].speaker |
SPEAKER_04 |
transcript.pyannote[787].start |
5918.21159375 |
transcript.pyannote[787].end |
5918.56596875 |
transcript.pyannote[788].speaker |
SPEAKER_37 |
transcript.pyannote[788].start |
5919.13971875 |
transcript.pyannote[788].end |
5921.36721875 |
transcript.pyannote[789].speaker |
SPEAKER_04 |
transcript.pyannote[789].start |
5920.82721875 |
transcript.pyannote[789].end |
5921.70471875 |
transcript.pyannote[790].speaker |
SPEAKER_37 |
transcript.pyannote[790].start |
5925.97409375 |
transcript.pyannote[790].end |
5926.64909375 |
transcript.pyannote[791].speaker |
SPEAKER_04 |
transcript.pyannote[791].start |
5926.64909375 |
transcript.pyannote[791].end |
5926.96971875 |
transcript.pyannote[792].speaker |
SPEAKER_30 |
transcript.pyannote[792].start |
5926.96971875 |
transcript.pyannote[792].end |
5927.03721875 |
transcript.pyannote[793].speaker |
SPEAKER_37 |
transcript.pyannote[793].start |
5927.03721875 |
transcript.pyannote[793].end |
5930.95221875 |
transcript.pyannote[794].speaker |
SPEAKER_37 |
transcript.pyannote[794].start |
5931.42471875 |
transcript.pyannote[794].end |
5947.67534375 |
transcript.pyannote[795].speaker |
SPEAKER_37 |
transcript.pyannote[795].start |
5947.89471875 |
transcript.pyannote[795].end |
5958.45846875 |
transcript.pyannote[796].speaker |
SPEAKER_37 |
transcript.pyannote[796].start |
5958.89721875 |
transcript.pyannote[796].end |
5963.99346875 |
transcript.pyannote[797].speaker |
SPEAKER_18 |
transcript.pyannote[797].start |
5963.82471875 |
transcript.pyannote[797].end |
5964.02721875 |
transcript.pyannote[798].speaker |
SPEAKER_37 |
transcript.pyannote[798].start |
5964.02721875 |
transcript.pyannote[798].end |
5967.52034375 |
transcript.pyannote[799].speaker |
SPEAKER_18 |
transcript.pyannote[799].start |
5964.06096875 |
transcript.pyannote[799].end |
5964.11159375 |
transcript.pyannote[800].speaker |
SPEAKER_18 |
transcript.pyannote[800].start |
5968.06034375 |
transcript.pyannote[800].end |
5975.09721875 |
transcript.pyannote[801].speaker |
SPEAKER_37 |
transcript.pyannote[801].start |
5973.02159375 |
transcript.pyannote[801].end |
5973.37596875 |
transcript.pyannote[802].speaker |
SPEAKER_18 |
transcript.pyannote[802].start |
5975.45159375 |
transcript.pyannote[802].end |
5975.85659375 |
transcript.pyannote[803].speaker |
SPEAKER_18 |
transcript.pyannote[803].start |
5975.95784375 |
transcript.pyannote[803].end |
5980.37909375 |
transcript.pyannote[804].speaker |
SPEAKER_37 |
transcript.pyannote[804].start |
5979.95721875 |
transcript.pyannote[804].end |
5981.42534375 |
transcript.pyannote[805].speaker |
SPEAKER_18 |
transcript.pyannote[805].start |
5981.74596875 |
transcript.pyannote[805].end |
5984.44596875 |
transcript.pyannote[806].speaker |
SPEAKER_37 |
transcript.pyannote[806].start |
5982.03284375 |
transcript.pyannote[806].end |
5982.70784375 |
transcript.pyannote[807].speaker |
SPEAKER_37 |
transcript.pyannote[807].start |
5983.01159375 |
transcript.pyannote[807].end |
5996.35971875 |
transcript.pyannote[808].speaker |
SPEAKER_26 |
transcript.pyannote[808].start |
5984.44596875 |
transcript.pyannote[808].end |
5984.66534375 |
transcript.pyannote[809].speaker |
SPEAKER_18 |
transcript.pyannote[809].start |
5984.66534375 |
transcript.pyannote[809].end |
5985.57659375 |
transcript.pyannote[810].speaker |
SPEAKER_18 |
transcript.pyannote[810].start |
5991.61784375 |
transcript.pyannote[810].end |
5991.98909375 |
transcript.pyannote[811].speaker |
SPEAKER_18 |
transcript.pyannote[811].start |
5996.17409375 |
transcript.pyannote[811].end |
5998.28346875 |
transcript.pyannote[812].speaker |
SPEAKER_37 |
transcript.pyannote[812].start |
5996.57909375 |
transcript.pyannote[812].end |
5996.61284375 |
transcript.pyannote[813].speaker |
SPEAKER_37 |
transcript.pyannote[813].start |
5997.33846875 |
transcript.pyannote[813].end |
6031.99971875 |
transcript.pyannote[814].speaker |
SPEAKER_00 |
transcript.pyannote[814].start |
6008.22284375 |
transcript.pyannote[814].end |
6008.59409375 |
transcript.pyannote[815].speaker |
SPEAKER_00 |
transcript.pyannote[815].start |
6017.40284375 |
transcript.pyannote[815].end |
6017.80784375 |
transcript.pyannote[816].speaker |
SPEAKER_18 |
transcript.pyannote[816].start |
6030.29534375 |
transcript.pyannote[816].end |
6030.49784375 |
transcript.pyannote[817].speaker |
SPEAKER_18 |
transcript.pyannote[817].start |
6031.00409375 |
transcript.pyannote[817].end |
6033.40034375 |
transcript.pyannote[818].speaker |
SPEAKER_37 |
transcript.pyannote[818].start |
6032.70846875 |
transcript.pyannote[818].end |
6048.38534375 |
transcript.pyannote[819].speaker |
SPEAKER_37 |
transcript.pyannote[819].start |
6048.63846875 |
transcript.pyannote[819].end |
6051.08534375 |
transcript.pyannote[820].speaker |
SPEAKER_37 |
transcript.pyannote[820].start |
6051.25409375 |
transcript.pyannote[820].end |
6060.85596875 |
transcript.pyannote[821].speaker |
SPEAKER_18 |
transcript.pyannote[821].start |
6057.73409375 |
transcript.pyannote[821].end |
6057.76784375 |
transcript.pyannote[822].speaker |
SPEAKER_18 |
transcript.pyannote[822].start |
6061.15971875 |
transcript.pyannote[822].end |
6075.99284375 |
transcript.pyannote[823].speaker |
SPEAKER_37 |
transcript.pyannote[823].start |
6066.44159375 |
transcript.pyannote[823].end |
6066.72846875 |
transcript.pyannote[824].speaker |
SPEAKER_00 |
transcript.pyannote[824].start |
6066.72846875 |
transcript.pyannote[824].end |
6066.76221875 |
transcript.pyannote[825].speaker |
SPEAKER_37 |
transcript.pyannote[825].start |
6069.42846875 |
transcript.pyannote[825].end |
6069.85034375 |
transcript.pyannote[826].speaker |
SPEAKER_37 |
transcript.pyannote[826].start |
6072.93846875 |
transcript.pyannote[826].end |
6073.42784375 |
transcript.pyannote[827].speaker |
SPEAKER_37 |
transcript.pyannote[827].start |
6075.58784375 |
transcript.pyannote[827].end |
6082.64159375 |
transcript.pyannote[828].speaker |
SPEAKER_18 |
transcript.pyannote[828].start |
6076.51596875 |
transcript.pyannote[828].end |
6076.53284375 |
transcript.pyannote[829].speaker |
SPEAKER_18 |
transcript.pyannote[829].start |
6082.11846875 |
transcript.pyannote[829].end |
6087.63659375 |
transcript.pyannote[830].speaker |
SPEAKER_37 |
transcript.pyannote[830].start |
6086.47221875 |
transcript.pyannote[830].end |
6101.03534375 |
transcript.pyannote[831].speaker |
SPEAKER_10 |
transcript.pyannote[831].start |
6094.06596875 |
transcript.pyannote[831].end |
6094.09971875 |
transcript.pyannote[832].speaker |
SPEAKER_18 |
transcript.pyannote[832].start |
6094.09971875 |
transcript.pyannote[832].end |
6094.40346875 |
transcript.pyannote[833].speaker |
SPEAKER_10 |
transcript.pyannote[833].start |
6094.40346875 |
transcript.pyannote[833].end |
6094.42034375 |
transcript.pyannote[834].speaker |
SPEAKER_00 |
transcript.pyannote[834].start |
6094.42034375 |
transcript.pyannote[834].end |
6094.43721875 |
transcript.pyannote[835].speaker |
SPEAKER_10 |
transcript.pyannote[835].start |
6095.55096875 |
transcript.pyannote[835].end |
6095.92221875 |
transcript.pyannote[836].speaker |
SPEAKER_37 |
transcript.pyannote[836].start |
6102.52034375 |
transcript.pyannote[836].end |
6105.15284375 |
transcript.pyannote[837].speaker |
SPEAKER_04 |
transcript.pyannote[837].start |
6104.89971875 |
transcript.pyannote[837].end |
6105.54096875 |
transcript.pyannote[838].speaker |
SPEAKER_37 |
transcript.pyannote[838].start |
6105.62534375 |
transcript.pyannote[838].end |
6133.87409375 |
transcript.pyannote[839].speaker |
SPEAKER_37 |
transcript.pyannote[839].start |
6134.16096875 |
transcript.pyannote[839].end |
6161.85284375 |
transcript.pyannote[840].speaker |
SPEAKER_37 |
transcript.pyannote[840].start |
6162.89909375 |
transcript.pyannote[840].end |
6174.74534375 |
transcript.pyannote[841].speaker |
SPEAKER_37 |
transcript.pyannote[841].start |
6175.20096875 |
transcript.pyannote[841].end |
6181.44471875 |
transcript.pyannote[842].speaker |
SPEAKER_23 |
transcript.pyannote[842].start |
6176.12909375 |
transcript.pyannote[842].end |
6176.41596875 |
transcript.pyannote[843].speaker |
SPEAKER_37 |
transcript.pyannote[843].start |
6181.63034375 |
transcript.pyannote[843].end |
6196.93596875 |
transcript.pyannote[844].speaker |
SPEAKER_37 |
transcript.pyannote[844].start |
6197.25659375 |
transcript.pyannote[844].end |
6200.12534375 |
transcript.pyannote[845].speaker |
SPEAKER_37 |
transcript.pyannote[845].start |
6200.26034375 |
transcript.pyannote[845].end |
6202.25159375 |
transcript.pyannote[846].speaker |
SPEAKER_37 |
transcript.pyannote[846].start |
6202.72409375 |
transcript.pyannote[846].end |
6205.64346875 |
transcript.pyannote[847].speaker |
SPEAKER_18 |
transcript.pyannote[847].start |
6205.93034375 |
transcript.pyannote[847].end |
6218.95784375 |
transcript.pyannote[848].speaker |
SPEAKER_38 |
transcript.pyannote[848].start |
6219.07596875 |
transcript.pyannote[848].end |
6219.83534375 |
transcript.pyannote[849].speaker |
SPEAKER_02 |
transcript.pyannote[849].start |
6220.44284375 |
transcript.pyannote[849].end |
6223.21034375 |
transcript.pyannote[850].speaker |
SPEAKER_02 |
transcript.pyannote[850].start |
6223.44659375 |
transcript.pyannote[850].end |
6246.76784375 |
transcript.pyannote[851].speaker |
SPEAKER_37 |
transcript.pyannote[851].start |
6245.87346875 |
transcript.pyannote[851].end |
6250.85159375 |
transcript.pyannote[852].speaker |
SPEAKER_02 |
transcript.pyannote[852].start |
6248.69159375 |
transcript.pyannote[852].end |
6248.87721875 |
transcript.pyannote[853].speaker |
SPEAKER_02 |
transcript.pyannote[853].start |
6250.75034375 |
transcript.pyannote[853].end |
6250.95284375 |
transcript.pyannote[854].speaker |
SPEAKER_37 |
transcript.pyannote[854].start |
6250.95284375 |
transcript.pyannote[854].end |
6254.49659375 |
transcript.pyannote[855].speaker |
SPEAKER_02 |
transcript.pyannote[855].start |
6254.66534375 |
transcript.pyannote[855].end |
6278.30721875 |
transcript.pyannote[856].speaker |
SPEAKER_37 |
transcript.pyannote[856].start |
6277.36221875 |
transcript.pyannote[856].end |
6289.88346875 |
transcript.pyannote[857].speaker |
SPEAKER_37 |
transcript.pyannote[857].start |
6290.37284375 |
transcript.pyannote[857].end |
6299.78909375 |
transcript.pyannote[858].speaker |
SPEAKER_30 |
transcript.pyannote[858].start |
6299.65409375 |
transcript.pyannote[858].end |
6300.05909375 |
transcript.pyannote[859].speaker |
SPEAKER_37 |
transcript.pyannote[859].start |
6299.95784375 |
transcript.pyannote[859].end |
6317.52471875 |
transcript.pyannote[860].speaker |
SPEAKER_18 |
transcript.pyannote[860].start |
6318.23346875 |
transcript.pyannote[860].end |
6321.87846875 |
transcript.pyannote[861].speaker |
SPEAKER_37 |
transcript.pyannote[861].start |
6318.26721875 |
transcript.pyannote[861].end |
6319.02659375 |
transcript.pyannote[862].speaker |
SPEAKER_37 |
transcript.pyannote[862].start |
6321.86159375 |
transcript.pyannote[862].end |
6326.85659375 |
transcript.pyannote[863].speaker |
SPEAKER_18 |
transcript.pyannote[863].start |
6322.04721875 |
transcript.pyannote[863].end |
6322.11471875 |
transcript.pyannote[864].speaker |
SPEAKER_18 |
transcript.pyannote[864].start |
6322.19909375 |
transcript.pyannote[864].end |
6332.15534375 |
transcript.pyannote[865].speaker |
SPEAKER_37 |
transcript.pyannote[865].start |
6330.26534375 |
transcript.pyannote[865].end |
6330.29909375 |
transcript.pyannote[866].speaker |
SPEAKER_02 |
transcript.pyannote[866].start |
6330.29909375 |
transcript.pyannote[866].end |
6330.73784375 |
transcript.pyannote[867].speaker |
SPEAKER_02 |
transcript.pyannote[867].start |
6331.51409375 |
transcript.pyannote[867].end |
6350.63346875 |
transcript.pyannote[868].speaker |
SPEAKER_18 |
transcript.pyannote[868].start |
6333.03284375 |
transcript.pyannote[868].end |
6333.33659375 |
transcript.pyannote[869].speaker |
SPEAKER_37 |
transcript.pyannote[869].start |
6339.10784375 |
transcript.pyannote[869].end |
6339.79971875 |
transcript.pyannote[870].speaker |
SPEAKER_37 |
transcript.pyannote[870].start |
6340.00221875 |
transcript.pyannote[870].end |
6341.47034375 |
transcript.pyannote[871].speaker |
SPEAKER_30 |
transcript.pyannote[871].start |
6341.47034375 |
transcript.pyannote[871].end |
6341.52096875 |
transcript.pyannote[872].speaker |
SPEAKER_37 |
transcript.pyannote[872].start |
6349.04721875 |
transcript.pyannote[872].end |
6349.43534375 |
transcript.pyannote[873].speaker |
SPEAKER_37 |
transcript.pyannote[873].start |
6350.26221875 |
transcript.pyannote[873].end |
6357.02909375 |
transcript.pyannote[874].speaker |
SPEAKER_02 |
transcript.pyannote[874].start |
6353.48534375 |
transcript.pyannote[874].end |
6353.90721875 |
transcript.pyannote[875].speaker |
SPEAKER_37 |
transcript.pyannote[875].start |
6357.38346875 |
transcript.pyannote[875].end |
6359.67846875 |
transcript.pyannote[876].speaker |
SPEAKER_30 |
transcript.pyannote[876].start |
6359.67846875 |
transcript.pyannote[876].end |
6359.79659375 |
transcript.pyannote[877].speaker |
SPEAKER_37 |
transcript.pyannote[877].start |
6359.79659375 |
transcript.pyannote[877].end |
6384.78846875 |
transcript.pyannote[878].speaker |
SPEAKER_02 |
transcript.pyannote[878].start |
6385.69971875 |
transcript.pyannote[878].end |
6394.72784375 |
transcript.pyannote[879].speaker |
SPEAKER_37 |
transcript.pyannote[879].start |
6387.82596875 |
transcript.pyannote[879].end |
6387.97784375 |
transcript.pyannote[880].speaker |
SPEAKER_37 |
transcript.pyannote[880].start |
6388.02846875 |
transcript.pyannote[880].end |
6388.38284375 |
transcript.pyannote[881].speaker |
SPEAKER_37 |
transcript.pyannote[881].start |
6394.42409375 |
transcript.pyannote[881].end |
6397.54596875 |
transcript.pyannote[882].speaker |
SPEAKER_02 |
transcript.pyannote[882].start |
6396.73596875 |
transcript.pyannote[882].end |
6397.96784375 |
transcript.pyannote[883].speaker |
SPEAKER_18 |
transcript.pyannote[883].start |
6397.54596875 |
transcript.pyannote[883].end |
6397.59659375 |
transcript.pyannote[884].speaker |
SPEAKER_18 |
transcript.pyannote[884].start |
6397.96784375 |
transcript.pyannote[884].end |
6398.18721875 |
transcript.pyannote[885].speaker |
SPEAKER_02 |
transcript.pyannote[885].start |
6398.18721875 |
transcript.pyannote[885].end |
6400.39784375 |
transcript.pyannote[886].speaker |
SPEAKER_18 |
transcript.pyannote[886].start |
6398.20409375 |
transcript.pyannote[886].end |
6401.49471875 |
transcript.pyannote[887].speaker |
SPEAKER_37 |
transcript.pyannote[887].start |
6400.39784375 |
transcript.pyannote[887].end |
6403.30034375 |
transcript.pyannote[888].speaker |
SPEAKER_37 |
transcript.pyannote[888].start |
6403.99221875 |
transcript.pyannote[888].end |
6416.95221875 |
transcript.pyannote[889].speaker |
SPEAKER_18 |
transcript.pyannote[889].start |
6406.59096875 |
transcript.pyannote[889].end |
6406.92846875 |
transcript.pyannote[890].speaker |
SPEAKER_02 |
transcript.pyannote[890].start |
6416.42909375 |
transcript.pyannote[890].end |
6425.59221875 |
transcript.pyannote[891].speaker |
SPEAKER_37 |
transcript.pyannote[891].start |
6417.35721875 |
transcript.pyannote[891].end |
6419.58471875 |
transcript.pyannote[892].speaker |
SPEAKER_37 |
transcript.pyannote[892].start |
6425.99721875 |
transcript.pyannote[892].end |
6436.78034375 |
transcript.pyannote[893].speaker |
SPEAKER_37 |
transcript.pyannote[893].start |
6437.32034375 |
transcript.pyannote[893].end |
6441.92721875 |
transcript.pyannote[894].speaker |
SPEAKER_02 |
transcript.pyannote[894].start |
6441.85971875 |
transcript.pyannote[894].end |
6442.55159375 |
transcript.pyannote[895].speaker |
SPEAKER_37 |
transcript.pyannote[895].start |
6442.01159375 |
transcript.pyannote[895].end |
6446.78721875 |
transcript.pyannote[896].speaker |
SPEAKER_37 |
transcript.pyannote[896].start |
6447.22596875 |
transcript.pyannote[896].end |
6447.74909375 |
transcript.pyannote[897].speaker |
SPEAKER_02 |
transcript.pyannote[897].start |
6447.74909375 |
transcript.pyannote[897].end |
6449.26784375 |
transcript.pyannote[898].speaker |
SPEAKER_37 |
transcript.pyannote[898].start |
6448.76159375 |
transcript.pyannote[898].end |
6463.44284375 |
transcript.pyannote[899].speaker |
SPEAKER_02 |
transcript.pyannote[899].start |
6452.60909375 |
transcript.pyannote[899].end |
6452.92971875 |
transcript.pyannote[900].speaker |
SPEAKER_31 |
transcript.pyannote[900].start |
6459.51096875 |
transcript.pyannote[900].end |
6459.96659375 |
transcript.pyannote[901].speaker |
SPEAKER_30 |
transcript.pyannote[901].start |
6459.96659375 |
transcript.pyannote[901].end |
6460.08471875 |
transcript.pyannote[902].speaker |
SPEAKER_37 |
transcript.pyannote[902].start |
6463.56096875 |
transcript.pyannote[902].end |
6472.85909375 |
transcript.pyannote[903].speaker |
SPEAKER_18 |
transcript.pyannote[903].start |
6468.20159375 |
transcript.pyannote[903].end |
6468.47159375 |
transcript.pyannote[904].speaker |
SPEAKER_18 |
transcript.pyannote[904].start |
6470.73284375 |
transcript.pyannote[904].end |
6474.31034375 |
transcript.pyannote[905].speaker |
SPEAKER_37 |
transcript.pyannote[905].start |
6473.68596875 |
transcript.pyannote[905].end |
6482.86596875 |
transcript.pyannote[906].speaker |
SPEAKER_18 |
transcript.pyannote[906].start |
6478.07346875 |
transcript.pyannote[906].end |
6478.59659375 |
transcript.pyannote[907].speaker |
SPEAKER_37 |
transcript.pyannote[907].start |
6483.33846875 |
transcript.pyannote[907].end |
6512.98784375 |
transcript.pyannote[908].speaker |
SPEAKER_00 |
transcript.pyannote[908].start |
6487.42221875 |
transcript.pyannote[908].end |
6488.58659375 |
transcript.pyannote[909].speaker |
SPEAKER_18 |
transcript.pyannote[909].start |
6508.22909375 |
transcript.pyannote[909].end |
6508.43159375 |
transcript.pyannote[910].speaker |
SPEAKER_18 |
transcript.pyannote[910].start |
6512.56596875 |
transcript.pyannote[910].end |
6515.78909375 |
transcript.pyannote[911].speaker |
SPEAKER_37 |
transcript.pyannote[911].start |
6513.98346875 |
transcript.pyannote[911].end |
6516.10971875 |
transcript.pyannote[912].speaker |
SPEAKER_18 |
transcript.pyannote[912].start |
6516.12659375 |
transcript.pyannote[912].end |
6516.78471875 |
transcript.pyannote[913].speaker |
SPEAKER_04 |
transcript.pyannote[913].start |
6520.09221875 |
transcript.pyannote[913].end |
6521.03721875 |
transcript.pyannote[914].speaker |
SPEAKER_04 |
transcript.pyannote[914].start |
6521.40846875 |
transcript.pyannote[914].end |
6522.13409375 |
transcript.pyannote[915].speaker |
SPEAKER_04 |
transcript.pyannote[915].start |
6523.93971875 |
transcript.pyannote[915].end |
6531.12846875 |
transcript.pyannote[916].speaker |
SPEAKER_06 |
transcript.pyannote[916].start |
6543.00846875 |
transcript.pyannote[916].end |
6544.30784375 |
transcript.pyannote[917].speaker |
SPEAKER_04 |
transcript.pyannote[917].start |
6545.60721875 |
transcript.pyannote[917].end |
6546.28221875 |
transcript.pyannote[918].speaker |
SPEAKER_04 |
transcript.pyannote[918].start |
6546.70409375 |
transcript.pyannote[918].end |
6550.61909375 |
transcript.pyannote[919].speaker |
SPEAKER_06 |
transcript.pyannote[919].start |
6552.32346875 |
transcript.pyannote[919].end |
6558.49971875 |
transcript.pyannote[920].speaker |
SPEAKER_31 |
transcript.pyannote[920].start |
6556.33971875 |
transcript.pyannote[920].end |
6557.18346875 |
transcript.pyannote[921].speaker |
SPEAKER_31 |
transcript.pyannote[921].start |
6558.49971875 |
transcript.pyannote[921].end |
6558.85409375 |
transcript.pyannote[922].speaker |
SPEAKER_06 |
transcript.pyannote[922].start |
6558.85409375 |
transcript.pyannote[922].end |
6564.40596875 |
transcript.pyannote[923].speaker |
SPEAKER_06 |
transcript.pyannote[923].start |
6564.62534375 |
transcript.pyannote[923].end |
6602.72909375 |
transcript.pyannote[924].speaker |
SPEAKER_18 |
transcript.pyannote[924].start |
6603.18471875 |
transcript.pyannote[924].end |
6631.68659375 |
transcript.pyannote[925].speaker |
SPEAKER_06 |
transcript.pyannote[925].start |
6631.68659375 |
transcript.pyannote[925].end |
6645.18659375 |
transcript.pyannote[926].speaker |
SPEAKER_06 |
transcript.pyannote[926].start |
6645.40596875 |
transcript.pyannote[926].end |
6694.15784375 |
transcript.pyannote[927].speaker |
SPEAKER_00 |
transcript.pyannote[927].start |
6679.61159375 |
transcript.pyannote[927].end |
6679.81409375 |
transcript.pyannote[928].speaker |
SPEAKER_18 |
transcript.pyannote[928].start |
6694.15784375 |
transcript.pyannote[928].end |
6694.37721875 |
transcript.pyannote[929].speaker |
SPEAKER_06 |
transcript.pyannote[929].start |
6694.37721875 |
transcript.pyannote[929].end |
6694.96784375 |
transcript.pyannote[930].speaker |
SPEAKER_18 |
transcript.pyannote[930].start |
6694.96784375 |
transcript.pyannote[930].end |
6729.15659375 |
transcript.pyannote[931].speaker |
SPEAKER_06 |
transcript.pyannote[931].start |
6729.15659375 |
transcript.pyannote[931].end |
6788.72534375 |
transcript.pyannote[932].speaker |
SPEAKER_06 |
transcript.pyannote[932].start |
6788.74221875 |
transcript.pyannote[932].end |
6822.91409375 |
transcript.pyannote[933].speaker |
SPEAKER_06 |
transcript.pyannote[933].start |
6823.47096875 |
transcript.pyannote[933].end |
6824.09534375 |
transcript.pyannote[934].speaker |
SPEAKER_21 |
transcript.pyannote[934].start |
6824.04471875 |
transcript.pyannote[934].end |
6824.11221875 |
transcript.pyannote[935].speaker |
SPEAKER_06 |
transcript.pyannote[935].start |
6824.11221875 |
transcript.pyannote[935].end |
6824.34846875 |
transcript.pyannote[936].speaker |
SPEAKER_21 |
transcript.pyannote[936].start |
6824.53409375 |
transcript.pyannote[936].end |
6828.17909375 |
transcript.pyannote[937].speaker |
SPEAKER_21 |
transcript.pyannote[937].start |
6828.60096875 |
transcript.pyannote[937].end |
6833.27534375 |
transcript.pyannote[938].speaker |
SPEAKER_21 |
transcript.pyannote[938].start |
6833.59596875 |
transcript.pyannote[938].end |
6838.11846875 |
transcript.pyannote[939].speaker |
SPEAKER_21 |
transcript.pyannote[939].start |
6838.75971875 |
transcript.pyannote[939].end |
6849.77909375 |
transcript.pyannote[940].speaker |
SPEAKER_06 |
transcript.pyannote[940].start |
6845.94846875 |
transcript.pyannote[940].end |
6847.48409375 |
transcript.pyannote[941].speaker |
SPEAKER_06 |
transcript.pyannote[941].start |
6848.32784375 |
transcript.pyannote[941].end |
6850.70721875 |
transcript.pyannote[942].speaker |
SPEAKER_21 |
transcript.pyannote[942].start |
6850.77471875 |
transcript.pyannote[942].end |
6855.63471875 |
transcript.pyannote[943].speaker |
SPEAKER_06 |
transcript.pyannote[943].start |
6854.25096875 |
transcript.pyannote[943].end |
6854.52096875 |
transcript.pyannote[944].speaker |
SPEAKER_06 |
transcript.pyannote[944].start |
6855.70221875 |
transcript.pyannote[944].end |
6871.22721875 |
transcript.pyannote[945].speaker |
SPEAKER_21 |
transcript.pyannote[945].start |
6870.56909375 |
transcript.pyannote[945].end |
6870.58596875 |
transcript.pyannote[946].speaker |
SPEAKER_21 |
transcript.pyannote[946].start |
6871.02471875 |
transcript.pyannote[946].end |
6872.10471875 |
transcript.pyannote[947].speaker |
SPEAKER_21 |
transcript.pyannote[947].start |
6872.32409375 |
transcript.pyannote[947].end |
6901.83846875 |
transcript.pyannote[948].speaker |
SPEAKER_06 |
transcript.pyannote[948].start |
6901.14659375 |
transcript.pyannote[948].end |
6917.00909375 |
transcript.pyannote[949].speaker |
SPEAKER_30 |
transcript.pyannote[949].start |
6905.90534375 |
transcript.pyannote[949].end |
6905.95596875 |
transcript.pyannote[950].speaker |
SPEAKER_21 |
transcript.pyannote[950].start |
6915.03471875 |
transcript.pyannote[950].end |
6915.86159375 |
transcript.pyannote[951].speaker |
SPEAKER_21 |
transcript.pyannote[951].start |
6916.16534375 |
transcript.pyannote[951].end |
6927.72471875 |
transcript.pyannote[952].speaker |
SPEAKER_06 |
transcript.pyannote[952].start |
6922.29096875 |
transcript.pyannote[952].end |
6924.09659375 |
transcript.pyannote[953].speaker |
SPEAKER_06 |
transcript.pyannote[953].start |
6927.48846875 |
transcript.pyannote[953].end |
6934.82909375 |
transcript.pyannote[954].speaker |
SPEAKER_21 |
transcript.pyannote[954].start |
6933.85034375 |
transcript.pyannote[954].end |
6934.76159375 |
transcript.pyannote[955].speaker |
SPEAKER_21 |
transcript.pyannote[955].start |
6934.82909375 |
transcript.pyannote[955].end |
6934.94721875 |
transcript.pyannote[956].speaker |
SPEAKER_06 |
transcript.pyannote[956].start |
6934.94721875 |
transcript.pyannote[956].end |
6935.28471875 |
transcript.pyannote[957].speaker |
SPEAKER_06 |
transcript.pyannote[957].start |
6935.43659375 |
transcript.pyannote[957].end |
6937.56284375 |
transcript.pyannote[958].speaker |
SPEAKER_21 |
transcript.pyannote[958].start |
6935.50409375 |
transcript.pyannote[958].end |
6937.07346875 |
transcript.pyannote[959].speaker |
SPEAKER_21 |
transcript.pyannote[959].start |
6937.09034375 |
transcript.pyannote[959].end |
6938.67659375 |
transcript.pyannote[960].speaker |
SPEAKER_06 |
transcript.pyannote[960].start |
6938.62596875 |
transcript.pyannote[960].end |
6945.98346875 |
transcript.pyannote[961].speaker |
SPEAKER_06 |
transcript.pyannote[961].start |
6946.42221875 |
transcript.pyannote[961].end |
7020.89159375 |
transcript.pyannote[962].speaker |
SPEAKER_31 |
transcript.pyannote[962].start |
7020.89159375 |
transcript.pyannote[962].end |
7021.07721875 |
transcript.pyannote[963].speaker |
SPEAKER_06 |
transcript.pyannote[963].start |
7022.03909375 |
transcript.pyannote[963].end |
7023.82784375 |
transcript.pyannote[964].speaker |
SPEAKER_06 |
transcript.pyannote[964].start |
7043.18346875 |
transcript.pyannote[964].end |
7045.42784375 |
transcript.pyannote[965].speaker |
SPEAKER_04 |
transcript.pyannote[965].start |
7045.42784375 |
transcript.pyannote[965].end |
7045.46159375 |
transcript.pyannote[966].speaker |
SPEAKER_04 |
transcript.pyannote[966].start |
7046.65971875 |
transcript.pyannote[966].end |
7047.09846875 |
transcript.pyannote[967].speaker |
SPEAKER_04 |
transcript.pyannote[967].start |
7047.33471875 |
transcript.pyannote[967].end |
7048.49909375 |
transcript.pyannote[968].speaker |
SPEAKER_04 |
transcript.pyannote[968].start |
7049.14034375 |
transcript.pyannote[968].end |
7052.68409375 |
transcript.pyannote[969].speaker |
SPEAKER_04 |
transcript.pyannote[969].start |
7052.86971875 |
transcript.pyannote[969].end |
7053.57846875 |
transcript.pyannote[970].speaker |
SPEAKER_04 |
transcript.pyannote[970].start |
7053.69659375 |
transcript.pyannote[970].end |
7054.47284375 |
transcript.pyannote[971].speaker |
SPEAKER_04 |
transcript.pyannote[971].start |
7058.43846875 |
transcript.pyannote[971].end |
7059.48471875 |
transcript.pyannote[972].speaker |
SPEAKER_04 |
transcript.pyannote[972].start |
7059.56909375 |
transcript.pyannote[972].end |
7059.58596875 |
transcript.pyannote[973].speaker |
SPEAKER_09 |
transcript.pyannote[973].start |
7059.58596875 |
transcript.pyannote[973].end |
7060.56471875 |
transcript.pyannote[974].speaker |
SPEAKER_04 |
transcript.pyannote[974].start |
7062.48846875 |
transcript.pyannote[974].end |
7064.36159375 |
transcript.pyannote[975].speaker |
SPEAKER_04 |
transcript.pyannote[975].start |
7066.99409375 |
transcript.pyannote[975].end |
7079.02596875 |
transcript.pyannote[976].speaker |
SPEAKER_04 |
transcript.pyannote[976].start |
7079.41409375 |
transcript.pyannote[976].end |
7090.09596875 |
transcript.pyannote[977].speaker |
SPEAKER_04 |
transcript.pyannote[977].start |
7090.28159375 |
transcript.pyannote[977].end |
7119.55971875 |
transcript.pyannote[978].speaker |
SPEAKER_04 |
transcript.pyannote[978].start |
7119.74534375 |
transcript.pyannote[978].end |
7122.85034375 |
transcript.pyannote[979].speaker |
SPEAKER_04 |
transcript.pyannote[979].start |
7122.96846875 |
transcript.pyannote[979].end |
7123.86284375 |
transcript.pyannote[980].speaker |
SPEAKER_04 |
transcript.pyannote[980].start |
7123.99784375 |
transcript.pyannote[980].end |
7125.33096875 |
transcript.pyannote[981].speaker |
SPEAKER_04 |
transcript.pyannote[981].start |
7125.98909375 |
transcript.pyannote[981].end |
7127.28846875 |
transcript.pyannote[982].speaker |
SPEAKER_04 |
transcript.pyannote[982].start |
7127.82846875 |
transcript.pyannote[982].end |
7131.43971875 |
transcript.pyannote[983].speaker |
SPEAKER_04 |
transcript.pyannote[983].start |
7132.03034375 |
transcript.pyannote[983].end |
7133.43096875 |
transcript.pyannote[984].speaker |
SPEAKER_04 |
transcript.pyannote[984].start |
7133.66721875 |
transcript.pyannote[984].end |
7137.44721875 |
transcript.pyannote[985].speaker |
SPEAKER_04 |
transcript.pyannote[985].start |
7137.95346875 |
transcript.pyannote[985].end |
7139.50596875 |
transcript.pyannote[986].speaker |
SPEAKER_04 |
transcript.pyannote[986].start |
7139.55659375 |
transcript.pyannote[986].end |
7141.63221875 |
transcript.pyannote[987].speaker |
SPEAKER_04 |
transcript.pyannote[987].start |
7142.10471875 |
transcript.pyannote[987].end |
7143.06659375 |
transcript.pyannote[988].speaker |
SPEAKER_04 |
transcript.pyannote[988].start |
7143.31971875 |
transcript.pyannote[988].end |
7147.74096875 |
transcript.pyannote[989].speaker |
SPEAKER_04 |
transcript.pyannote[989].start |
7148.48346875 |
transcript.pyannote[989].end |
7156.78596875 |
transcript.pyannote[990].speaker |
SPEAKER_04 |
transcript.pyannote[990].start |
7158.18659375 |
transcript.pyannote[990].end |
7158.81096875 |
transcript.pyannote[991].speaker |
SPEAKER_04 |
transcript.pyannote[991].start |
7159.89096875 |
transcript.pyannote[991].end |
7162.03409375 |
transcript.pyannote[992].speaker |
SPEAKER_31 |
transcript.pyannote[992].start |
7162.40534375 |
transcript.pyannote[992].end |
7162.62471875 |
transcript.pyannote[993].speaker |
SPEAKER_04 |
transcript.pyannote[993].start |
7163.11409375 |
transcript.pyannote[993].end |
7163.63721875 |
transcript.pyannote[994].speaker |
SPEAKER_04 |
transcript.pyannote[994].start |
7163.67096875 |
transcript.pyannote[994].end |
7176.00659375 |
transcript.pyannote[995].speaker |
SPEAKER_04 |
transcript.pyannote[995].start |
7176.39471875 |
transcript.pyannote[995].end |
7177.71096875 |
transcript.pyannote[996].speaker |
SPEAKER_04 |
transcript.pyannote[996].start |
7178.21721875 |
transcript.pyannote[996].end |
7179.04409375 |
transcript.pyannote[997].speaker |
SPEAKER_04 |
transcript.pyannote[997].start |
7179.29721875 |
transcript.pyannote[997].end |
7179.93846875 |
transcript.pyannote[998].speaker |
SPEAKER_04 |
transcript.pyannote[998].start |
7180.41096875 |
transcript.pyannote[998].end |
7182.97596875 |
transcript.pyannote[999].speaker |
SPEAKER_04 |
transcript.pyannote[999].start |
7183.12784375 |
transcript.pyannote[999].end |
7185.01784375 |
transcript.pyannote[1000].speaker |
SPEAKER_18 |
transcript.pyannote[1000].start |
7184.73096875 |
transcript.pyannote[1000].end |
7185.23721875 |
transcript.pyannote[1001].speaker |
SPEAKER_18 |
transcript.pyannote[1001].start |
7186.31721875 |
transcript.pyannote[1001].end |
7201.84221875 |
transcript.pyannote[1002].speaker |
SPEAKER_04 |
transcript.pyannote[1002].start |
7188.03846875 |
transcript.pyannote[1002].end |
7188.35909375 |
transcript.pyannote[1003].speaker |
SPEAKER_04 |
transcript.pyannote[1003].start |
7189.10159375 |
transcript.pyannote[1003].end |
7189.64159375 |
transcript.pyannote[1004].speaker |
SPEAKER_04 |
transcript.pyannote[1004].start |
7200.62721875 |
transcript.pyannote[1004].end |
7202.73659375 |
transcript.pyannote[1005].speaker |
SPEAKER_18 |
transcript.pyannote[1005].start |
7202.73659375 |
transcript.pyannote[1005].end |
7202.93909375 |
transcript.pyannote[1006].speaker |
SPEAKER_04 |
transcript.pyannote[1006].start |
7202.93909375 |
transcript.pyannote[1006].end |
7202.97284375 |
transcript.pyannote[1007].speaker |
SPEAKER_18 |
transcript.pyannote[1007].start |
7202.97284375 |
transcript.pyannote[1007].end |
7203.81659375 |
transcript.pyannote[1008].speaker |
SPEAKER_04 |
transcript.pyannote[1008].start |
7203.32721875 |
transcript.pyannote[1008].end |
7208.25471875 |
transcript.pyannote[1009].speaker |
SPEAKER_18 |
transcript.pyannote[1009].start |
7208.25471875 |
transcript.pyannote[1009].end |
7208.32221875 |
transcript.pyannote[1010].speaker |
SPEAKER_04 |
transcript.pyannote[1010].start |
7208.32221875 |
transcript.pyannote[1010].end |
7208.50784375 |
transcript.pyannote[1011].speaker |
SPEAKER_18 |
transcript.pyannote[1011].start |
7208.50784375 |
transcript.pyannote[1011].end |
7215.61221875 |
transcript.pyannote[1012].speaker |
SPEAKER_04 |
transcript.pyannote[1012].start |
7214.17784375 |
transcript.pyannote[1012].end |
7220.18534375 |
transcript.pyannote[1013].speaker |
SPEAKER_18 |
transcript.pyannote[1013].start |
7218.48096875 |
transcript.pyannote[1013].end |
7219.03784375 |
transcript.pyannote[1014].speaker |
SPEAKER_31 |
transcript.pyannote[1014].start |
7219.03784375 |
transcript.pyannote[1014].end |
7220.13471875 |
transcript.pyannote[1015].speaker |
SPEAKER_31 |
transcript.pyannote[1015].start |
7220.18534375 |
transcript.pyannote[1015].end |
7220.70846875 |
transcript.pyannote[1016].speaker |
SPEAKER_04 |
transcript.pyannote[1016].start |
7220.70846875 |
transcript.pyannote[1016].end |
7227.71159375 |
transcript.pyannote[1017].speaker |
SPEAKER_04 |
transcript.pyannote[1017].start |
7227.82971875 |
transcript.pyannote[1017].end |
7236.67221875 |
transcript.pyannote[1018].speaker |
SPEAKER_04 |
transcript.pyannote[1018].start |
7237.54971875 |
transcript.pyannote[1018].end |
7238.62971875 |
transcript.pyannote[1019].speaker |
SPEAKER_04 |
transcript.pyannote[1019].start |
7238.89971875 |
transcript.pyannote[1019].end |
7241.88659375 |
transcript.pyannote[1020].speaker |
SPEAKER_04 |
transcript.pyannote[1020].start |
7242.03846875 |
transcript.pyannote[1020].end |
7242.56159375 |
transcript.pyannote[1021].speaker |
SPEAKER_04 |
transcript.pyannote[1021].start |
7242.89909375 |
transcript.pyannote[1021].end |
7243.64159375 |
transcript.pyannote[1022].speaker |
SPEAKER_04 |
transcript.pyannote[1022].start |
7244.04659375 |
transcript.pyannote[1022].end |
7244.62034375 |
transcript.pyannote[1023].speaker |
SPEAKER_04 |
transcript.pyannote[1023].start |
7245.07596875 |
transcript.pyannote[1023].end |
7246.13909375 |
transcript.pyannote[1024].speaker |
SPEAKER_04 |
transcript.pyannote[1024].start |
7247.26971875 |
transcript.pyannote[1024].end |
7248.75471875 |
transcript.pyannote[1025].speaker |
SPEAKER_04 |
transcript.pyannote[1025].start |
7248.87284375 |
transcript.pyannote[1025].end |
7249.48034375 |
transcript.pyannote[1026].speaker |
SPEAKER_04 |
transcript.pyannote[1026].start |
7250.03721875 |
transcript.pyannote[1026].end |
7257.07409375 |
transcript.pyannote[1027].speaker |
SPEAKER_30 |
transcript.pyannote[1027].start |
7254.10409375 |
transcript.pyannote[1027].end |
7255.70721875 |
transcript.pyannote[1028].speaker |
SPEAKER_04 |
transcript.pyannote[1028].start |
7257.12471875 |
transcript.pyannote[1028].end |
7257.14159375 |
transcript.pyannote[1029].speaker |
SPEAKER_04 |
transcript.pyannote[1029].start |
7257.25971875 |
transcript.pyannote[1029].end |
7258.49159375 |
transcript.pyannote[1030].speaker |
SPEAKER_04 |
transcript.pyannote[1030].start |
7258.79534375 |
transcript.pyannote[1030].end |
7260.38159375 |
transcript.pyannote[1031].speaker |
SPEAKER_04 |
transcript.pyannote[1031].start |
7260.70221875 |
transcript.pyannote[1031].end |
7261.98471875 |
transcript.pyannote[1032].speaker |
SPEAKER_04 |
transcript.pyannote[1032].start |
7262.42346875 |
transcript.pyannote[1032].end |
7265.07284375 |
transcript.pyannote[1033].speaker |
SPEAKER_04 |
transcript.pyannote[1033].start |
7265.24159375 |
transcript.pyannote[1033].end |
7266.11909375 |
transcript.pyannote[1034].speaker |
SPEAKER_04 |
transcript.pyannote[1034].start |
7266.43971875 |
transcript.pyannote[1034].end |
7272.53159375 |
transcript.pyannote[1035].speaker |
SPEAKER_04 |
transcript.pyannote[1035].start |
7273.02096875 |
transcript.pyannote[1035].end |
7274.05034375 |
transcript.pyannote[1036].speaker |
SPEAKER_04 |
transcript.pyannote[1036].start |
7274.87721875 |
transcript.pyannote[1036].end |
7290.80721875 |
transcript.pyannote[1037].speaker |
SPEAKER_04 |
transcript.pyannote[1037].start |
7291.68471875 |
transcript.pyannote[1037].end |
7300.57784375 |
transcript.pyannote[1038].speaker |
SPEAKER_04 |
transcript.pyannote[1038].start |
7300.94909375 |
transcript.pyannote[1038].end |
7315.66409375 |
transcript.pyannote[1039].speaker |
SPEAKER_04 |
transcript.pyannote[1039].start |
7315.90034375 |
transcript.pyannote[1039].end |
7327.45971875 |
transcript.pyannote[1040].speaker |
SPEAKER_04 |
transcript.pyannote[1040].start |
7327.64534375 |
transcript.pyannote[1040].end |
7330.00784375 |
transcript.pyannote[1041].speaker |
SPEAKER_04 |
transcript.pyannote[1041].start |
7330.29471875 |
transcript.pyannote[1041].end |
7333.01159375 |
transcript.pyannote[1042].speaker |
SPEAKER_04 |
transcript.pyannote[1042].start |
7334.15909375 |
transcript.pyannote[1042].end |
7343.15346875 |
transcript.pyannote[1043].speaker |
SPEAKER_04 |
transcript.pyannote[1043].start |
7343.79471875 |
transcript.pyannote[1043].end |
7345.87034375 |
transcript.pyannote[1044].speaker |
SPEAKER_04 |
transcript.pyannote[1044].start |
7346.15721875 |
transcript.pyannote[1044].end |
7349.58284375 |
transcript.pyannote[1045].speaker |
SPEAKER_04 |
transcript.pyannote[1045].start |
7350.25784375 |
transcript.pyannote[1045].end |
7373.08971875 |
transcript.pyannote[1046].speaker |
SPEAKER_00 |
transcript.pyannote[1046].start |
7353.27846875 |
transcript.pyannote[1046].end |
7353.29534375 |
transcript.pyannote[1047].speaker |
SPEAKER_09 |
transcript.pyannote[1047].start |
7353.29534375 |
transcript.pyannote[1047].end |
7355.01659375 |
transcript.pyannote[1048].speaker |
SPEAKER_00 |
transcript.pyannote[1048].start |
7355.01659375 |
transcript.pyannote[1048].end |
7355.86034375 |
transcript.pyannote[1049].speaker |
SPEAKER_09 |
transcript.pyannote[1049].start |
7362.03659375 |
transcript.pyannote[1049].end |
7362.52596875 |
transcript.pyannote[1050].speaker |
SPEAKER_09 |
transcript.pyannote[1050].start |
7363.28534375 |
transcript.pyannote[1050].end |
7363.80846875 |
transcript.pyannote[1051].speaker |
SPEAKER_09 |
transcript.pyannote[1051].start |
7365.44534375 |
transcript.pyannote[1051].end |
7365.49596875 |
transcript.pyannote[1052].speaker |
SPEAKER_04 |
transcript.pyannote[1052].start |
7373.71409375 |
transcript.pyannote[1052].end |
7374.35534375 |
transcript.pyannote[1053].speaker |
SPEAKER_04 |
transcript.pyannote[1053].start |
7375.26659375 |
transcript.pyannote[1053].end |
7380.27846875 |
transcript.pyannote[1054].speaker |
SPEAKER_04 |
transcript.pyannote[1054].start |
7380.37971875 |
transcript.pyannote[1054].end |
7382.21909375 |
transcript.pyannote[1055].speaker |
SPEAKER_04 |
transcript.pyannote[1055].start |
7382.57346875 |
transcript.pyannote[1055].end |
7383.75471875 |
transcript.pyannote[1056].speaker |
SPEAKER_04 |
transcript.pyannote[1056].start |
7384.27784375 |
transcript.pyannote[1056].end |
7385.59409375 |
transcript.pyannote[1057].speaker |
SPEAKER_04 |
transcript.pyannote[1057].start |
7385.98221875 |
transcript.pyannote[1057].end |
7392.22596875 |
transcript.pyannote[1058].speaker |
SPEAKER_04 |
transcript.pyannote[1058].start |
7392.46221875 |
transcript.pyannote[1058].end |
7394.08221875 |
transcript.pyannote[1059].speaker |
SPEAKER_04 |
transcript.pyannote[1059].start |
7394.53784375 |
transcript.pyannote[1059].end |
7395.68534375 |
transcript.pyannote[1060].speaker |
SPEAKER_04 |
transcript.pyannote[1060].start |
7396.25909375 |
transcript.pyannote[1060].end |
7397.22096875 |
transcript.pyannote[1061].speaker |
SPEAKER_04 |
transcript.pyannote[1061].start |
7397.74409375 |
transcript.pyannote[1061].end |
7398.33471875 |
transcript.pyannote[1062].speaker |
SPEAKER_04 |
transcript.pyannote[1062].start |
7398.46971875 |
transcript.pyannote[1062].end |
7399.21221875 |
transcript.pyannote[1063].speaker |
SPEAKER_04 |
transcript.pyannote[1063].start |
7399.61721875 |
transcript.pyannote[1063].end |
7400.20784375 |
transcript.pyannote[1064].speaker |
SPEAKER_04 |
transcript.pyannote[1064].start |
7400.56221875 |
transcript.pyannote[1064].end |
7403.44784375 |
transcript.pyannote[1065].speaker |
SPEAKER_04 |
transcript.pyannote[1065].start |
7404.13971875 |
transcript.pyannote[1065].end |
7405.94534375 |
transcript.pyannote[1066].speaker |
SPEAKER_04 |
transcript.pyannote[1066].start |
7406.23221875 |
transcript.pyannote[1066].end |
7409.01659375 |
transcript.pyannote[1067].speaker |
SPEAKER_04 |
transcript.pyannote[1067].start |
7409.40471875 |
transcript.pyannote[1067].end |
7424.42346875 |
transcript.pyannote[1068].speaker |
SPEAKER_09 |
transcript.pyannote[1068].start |
7424.42346875 |
transcript.pyannote[1068].end |
7444.60596875 |
transcript.pyannote[1069].speaker |
SPEAKER_09 |
transcript.pyannote[1069].start |
7445.34846875 |
transcript.pyannote[1069].end |
7449.60096875 |
transcript.pyannote[1070].speaker |
SPEAKER_09 |
transcript.pyannote[1070].start |
7450.12409375 |
transcript.pyannote[1070].end |
7455.32159375 |
transcript.pyannote[1071].speaker |
SPEAKER_09 |
transcript.pyannote[1071].start |
7455.74346875 |
transcript.pyannote[1071].end |
7465.86846875 |
transcript.pyannote[1072].speaker |
SPEAKER_09 |
transcript.pyannote[1072].start |
7466.18909375 |
transcript.pyannote[1072].end |
7473.86721875 |
transcript.pyannote[1073].speaker |
SPEAKER_04 |
transcript.pyannote[1073].start |
7473.37784375 |
transcript.pyannote[1073].end |
7473.39471875 |
transcript.pyannote[1074].speaker |
SPEAKER_09 |
transcript.pyannote[1074].start |
7474.06971875 |
transcript.pyannote[1074].end |
7474.08659375 |
transcript.pyannote[1075].speaker |
SPEAKER_04 |
transcript.pyannote[1075].start |
7474.08659375 |
transcript.pyannote[1075].end |
7474.67721875 |
transcript.pyannote[1076].speaker |
SPEAKER_04 |
transcript.pyannote[1076].start |
7475.08221875 |
transcript.pyannote[1076].end |
7477.37721875 |
transcript.pyannote[1077].speaker |
SPEAKER_04 |
transcript.pyannote[1077].start |
7477.74846875 |
transcript.pyannote[1077].end |
7486.57409375 |
transcript.pyannote[1078].speaker |
SPEAKER_04 |
transcript.pyannote[1078].start |
7486.74284375 |
transcript.pyannote[1078].end |
7488.95346875 |
transcript.pyannote[1079].speaker |
SPEAKER_04 |
transcript.pyannote[1079].start |
7489.51034375 |
transcript.pyannote[1079].end |
7512.46034375 |
transcript.pyannote[1080].speaker |
SPEAKER_04 |
transcript.pyannote[1080].start |
7512.64596875 |
transcript.pyannote[1080].end |
7518.68721875 |
transcript.pyannote[1081].speaker |
SPEAKER_04 |
transcript.pyannote[1081].start |
7519.05846875 |
transcript.pyannote[1081].end |
7520.71221875 |
transcript.pyannote[1082].speaker |
SPEAKER_04 |
transcript.pyannote[1082].start |
7520.93159375 |
transcript.pyannote[1082].end |
7522.09596875 |
transcript.pyannote[1083].speaker |
SPEAKER_04 |
transcript.pyannote[1083].start |
7522.34909375 |
transcript.pyannote[1083].end |
7523.66534375 |
transcript.pyannote[1084].speaker |
SPEAKER_04 |
transcript.pyannote[1084].start |
7524.45846875 |
transcript.pyannote[1084].end |
7526.71971875 |
transcript.pyannote[1085].speaker |
SPEAKER_04 |
transcript.pyannote[1085].start |
7526.90534375 |
transcript.pyannote[1085].end |
7527.42846875 |
transcript.pyannote[1086].speaker |
SPEAKER_04 |
transcript.pyannote[1086].start |
7527.46221875 |
transcript.pyannote[1086].end |
7530.16221875 |
transcript.pyannote[1087].speaker |
SPEAKER_04 |
transcript.pyannote[1087].start |
7530.43221875 |
transcript.pyannote[1087].end |
7531.02284375 |
transcript.pyannote[1088].speaker |
SPEAKER_04 |
transcript.pyannote[1088].start |
7531.51221875 |
transcript.pyannote[1088].end |
7532.06909375 |
transcript.pyannote[1089].speaker |
SPEAKER_04 |
transcript.pyannote[1089].start |
7532.32221875 |
transcript.pyannote[1089].end |
7536.03471875 |
transcript.pyannote[1090].speaker |
SPEAKER_04 |
transcript.pyannote[1090].start |
7536.45659375 |
transcript.pyannote[1090].end |
7539.29159375 |
transcript.pyannote[1091].speaker |
SPEAKER_04 |
transcript.pyannote[1091].start |
7539.93284375 |
transcript.pyannote[1091].end |
7541.35034375 |
transcript.pyannote[1092].speaker |
SPEAKER_04 |
transcript.pyannote[1092].start |
7541.50221875 |
transcript.pyannote[1092].end |
7541.51909375 |
transcript.pyannote[1093].speaker |
SPEAKER_18 |
transcript.pyannote[1093].start |
7541.51909375 |
transcript.pyannote[1093].end |
7552.85909375 |
transcript.pyannote[1094].speaker |
SPEAKER_04 |
transcript.pyannote[1094].start |
7541.83971875 |
transcript.pyannote[1094].end |
7542.86909375 |
transcript.pyannote[1095].speaker |
SPEAKER_04 |
transcript.pyannote[1095].start |
7542.95346875 |
transcript.pyannote[1095].end |
7543.32471875 |
transcript.pyannote[1096].speaker |
SPEAKER_04 |
transcript.pyannote[1096].start |
7553.51721875 |
transcript.pyannote[1096].end |
7559.05221875 |
transcript.pyannote[1097].speaker |
SPEAKER_04 |
transcript.pyannote[1097].start |
7559.57534375 |
transcript.pyannote[1097].end |
7575.70784375 |
transcript.pyannote[1098].speaker |
SPEAKER_04 |
transcript.pyannote[1098].start |
7576.02846875 |
transcript.pyannote[1098].end |
7578.77909375 |
transcript.pyannote[1099].speaker |
SPEAKER_04 |
transcript.pyannote[1099].start |
7579.31909375 |
transcript.pyannote[1099].end |
7580.11221875 |
transcript.pyannote[1100].speaker |
SPEAKER_04 |
transcript.pyannote[1100].start |
7580.43284375 |
transcript.pyannote[1100].end |
7589.88284375 |
transcript.pyannote[1101].speaker |
SPEAKER_04 |
transcript.pyannote[1101].start |
7590.35534375 |
transcript.pyannote[1101].end |
7594.42221875 |
transcript.pyannote[1102].speaker |
SPEAKER_04 |
transcript.pyannote[1102].start |
7595.13096875 |
transcript.pyannote[1102].end |
7596.04221875 |
transcript.pyannote[1103].speaker |
SPEAKER_04 |
transcript.pyannote[1103].start |
7596.22784375 |
transcript.pyannote[1103].end |
7599.68721875 |
transcript.pyannote[1104].speaker |
SPEAKER_04 |
transcript.pyannote[1104].start |
7599.94034375 |
transcript.pyannote[1104].end |
7602.16784375 |
transcript.pyannote[1105].speaker |
SPEAKER_04 |
transcript.pyannote[1105].start |
7602.82596875 |
transcript.pyannote[1105].end |
7603.58534375 |
transcript.pyannote[1106].speaker |
SPEAKER_04 |
transcript.pyannote[1106].start |
7604.64846875 |
transcript.pyannote[1106].end |
7606.03221875 |
transcript.pyannote[1107].speaker |
SPEAKER_04 |
transcript.pyannote[1107].start |
7606.15034375 |
transcript.pyannote[1107].end |
7607.09534375 |
transcript.pyannote[1108].speaker |
SPEAKER_04 |
transcript.pyannote[1108].start |
7607.33159375 |
transcript.pyannote[1108].end |
7607.73659375 |
transcript.pyannote[1109].speaker |
SPEAKER_04 |
transcript.pyannote[1109].start |
7607.98971875 |
transcript.pyannote[1109].end |
7612.03971875 |
transcript.pyannote[1110].speaker |
SPEAKER_04 |
transcript.pyannote[1110].start |
7612.07346875 |
transcript.pyannote[1110].end |
7623.00846875 |
transcript.pyannote[1111].speaker |
SPEAKER_18 |
transcript.pyannote[1111].start |
7623.27846875 |
transcript.pyannote[1111].end |
7642.33034375 |
transcript.pyannote[1112].speaker |
SPEAKER_04 |
transcript.pyannote[1112].start |
7623.43034375 |
transcript.pyannote[1112].end |
7623.46409375 |
transcript.pyannote[1113].speaker |
SPEAKER_09 |
transcript.pyannote[1113].start |
7642.81971875 |
transcript.pyannote[1113].end |
7646.49846875 |
transcript.pyannote[1114].speaker |
SPEAKER_09 |
transcript.pyannote[1114].start |
7646.95409375 |
transcript.pyannote[1114].end |
7650.59909375 |
transcript.pyannote[1115].speaker |
SPEAKER_09 |
transcript.pyannote[1115].start |
7650.85221875 |
transcript.pyannote[1115].end |
7662.32721875 |
transcript.pyannote[1116].speaker |
SPEAKER_09 |
transcript.pyannote[1116].start |
7662.41159375 |
transcript.pyannote[1116].end |
7666.03971875 |
transcript.pyannote[1117].speaker |
SPEAKER_04 |
transcript.pyannote[1117].start |
7664.92596875 |
transcript.pyannote[1117].end |
7678.35846875 |
transcript.pyannote[1118].speaker |
SPEAKER_04 |
transcript.pyannote[1118].start |
7678.81409375 |
transcript.pyannote[1118].end |
7699.77284375 |
transcript.pyannote[1119].speaker |
SPEAKER_04 |
transcript.pyannote[1119].start |
7699.84034375 |
transcript.pyannote[1119].end |
7700.29596875 |
transcript.pyannote[1120].speaker |
SPEAKER_04 |
transcript.pyannote[1120].start |
7700.53221875 |
transcript.pyannote[1120].end |
7721.81159375 |
transcript.pyannote[1121].speaker |
SPEAKER_04 |
transcript.pyannote[1121].start |
7722.58784375 |
transcript.pyannote[1121].end |
7723.27971875 |
transcript.pyannote[1122].speaker |
SPEAKER_04 |
transcript.pyannote[1122].start |
7724.30909375 |
transcript.pyannote[1122].end |
7725.74346875 |
transcript.pyannote[1123].speaker |
SPEAKER_04 |
transcript.pyannote[1123].start |
7726.43534375 |
transcript.pyannote[1123].end |
7726.90784375 |
transcript.pyannote[1124].speaker |
SPEAKER_04 |
transcript.pyannote[1124].start |
7727.43096875 |
transcript.pyannote[1124].end |
7729.59096875 |
transcript.pyannote[1125].speaker |
SPEAKER_04 |
transcript.pyannote[1125].start |
7730.01284375 |
transcript.pyannote[1125].end |
7734.16409375 |
transcript.pyannote[1126].speaker |
SPEAKER_04 |
transcript.pyannote[1126].start |
7734.55221875 |
transcript.pyannote[1126].end |
7735.98659375 |
transcript.pyannote[1127].speaker |
SPEAKER_04 |
transcript.pyannote[1127].start |
7736.57721875 |
transcript.pyannote[1127].end |
7748.55846875 |
transcript.pyannote[1128].speaker |
SPEAKER_04 |
transcript.pyannote[1128].start |
7748.87909375 |
transcript.pyannote[1128].end |
7750.39784375 |
transcript.pyannote[1129].speaker |
SPEAKER_04 |
transcript.pyannote[1129].start |
7750.78596875 |
transcript.pyannote[1129].end |
7757.95784375 |
transcript.pyannote[1130].speaker |
SPEAKER_04 |
transcript.pyannote[1130].start |
7758.61596875 |
transcript.pyannote[1130].end |
7759.10534375 |
transcript.pyannote[1131].speaker |
SPEAKER_04 |
transcript.pyannote[1131].start |
7760.18534375 |
transcript.pyannote[1131].end |
7760.64096875 |
transcript.pyannote[1132].speaker |
SPEAKER_04 |
transcript.pyannote[1132].start |
7761.21471875 |
transcript.pyannote[1132].end |
7761.87284375 |
transcript.pyannote[1133].speaker |
SPEAKER_04 |
transcript.pyannote[1133].start |
7762.81784375 |
transcript.pyannote[1133].end |
7763.40846875 |
transcript.pyannote[1134].speaker |
SPEAKER_04 |
transcript.pyannote[1134].start |
7763.69534375 |
transcript.pyannote[1134].end |
7764.80909375 |
transcript.pyannote[1135].speaker |
SPEAKER_04 |
transcript.pyannote[1135].start |
7765.04534375 |
transcript.pyannote[1135].end |
7766.37846875 |
transcript.pyannote[1136].speaker |
SPEAKER_04 |
transcript.pyannote[1136].start |
7766.80034375 |
transcript.pyannote[1136].end |
7773.58409375 |
transcript.pyannote[1137].speaker |
SPEAKER_04 |
transcript.pyannote[1137].start |
7774.51221875 |
transcript.pyannote[1137].end |
7778.68034375 |
transcript.pyannote[1138].speaker |
SPEAKER_04 |
transcript.pyannote[1138].start |
7778.91659375 |
transcript.pyannote[1138].end |
7781.78534375 |
transcript.pyannote[1139].speaker |
SPEAKER_04 |
transcript.pyannote[1139].start |
7782.07221875 |
transcript.pyannote[1139].end |
7788.63659375 |
transcript.pyannote[1140].speaker |
SPEAKER_04 |
transcript.pyannote[1140].start |
7788.94034375 |
transcript.pyannote[1140].end |
7789.96971875 |
transcript.pyannote[1141].speaker |
SPEAKER_04 |
transcript.pyannote[1141].start |
7790.23971875 |
transcript.pyannote[1141].end |
7790.69534375 |
transcript.pyannote[1142].speaker |
SPEAKER_04 |
transcript.pyannote[1142].start |
7791.08346875 |
transcript.pyannote[1142].end |
7793.34471875 |
transcript.pyannote[1143].speaker |
SPEAKER_04 |
transcript.pyannote[1143].start |
7793.86784375 |
transcript.pyannote[1143].end |
7794.71159375 |
transcript.pyannote[1144].speaker |
SPEAKER_04 |
transcript.pyannote[1144].start |
7795.01534375 |
transcript.pyannote[1144].end |
7797.73221875 |
transcript.pyannote[1145].speaker |
SPEAKER_04 |
transcript.pyannote[1145].start |
7798.30596875 |
transcript.pyannote[1145].end |
7802.65971875 |
transcript.pyannote[1146].speaker |
SPEAKER_04 |
transcript.pyannote[1146].start |
7802.71034375 |
transcript.pyannote[1146].end |
7802.76096875 |
transcript.pyannote[1147].speaker |
SPEAKER_04 |
transcript.pyannote[1147].start |
7803.14909375 |
transcript.pyannote[1147].end |
7807.90784375 |
transcript.pyannote[1148].speaker |
SPEAKER_04 |
transcript.pyannote[1148].start |
7808.97096875 |
transcript.pyannote[1148].end |
7809.79784375 |
transcript.pyannote[1149].speaker |
SPEAKER_04 |
transcript.pyannote[1149].start |
7812.61596875 |
transcript.pyannote[1149].end |
7826.21721875 |
transcript.pyannote[1150].speaker |
SPEAKER_31 |
transcript.pyannote[1150].start |
7818.23534375 |
transcript.pyannote[1150].end |
7818.69096875 |
transcript.pyannote[1151].speaker |
SPEAKER_04 |
transcript.pyannote[1151].start |
7826.52096875 |
transcript.pyannote[1151].end |
7826.85846875 |
transcript.pyannote[1152].speaker |
SPEAKER_04 |
transcript.pyannote[1152].start |
7827.51659375 |
transcript.pyannote[1152].end |
7829.65971875 |
transcript.pyannote[1153].speaker |
SPEAKER_04 |
transcript.pyannote[1153].start |
7829.81159375 |
transcript.pyannote[1153].end |
7843.85159375 |
transcript.pyannote[1154].speaker |
SPEAKER_04 |
transcript.pyannote[1154].start |
7843.98659375 |
transcript.pyannote[1154].end |
7860.10221875 |
transcript.pyannote[1155].speaker |
SPEAKER_04 |
transcript.pyannote[1155].start |
7860.38909375 |
transcript.pyannote[1155].end |
7862.07659375 |
transcript.pyannote[1156].speaker |
SPEAKER_04 |
transcript.pyannote[1156].start |
7862.41409375 |
transcript.pyannote[1156].end |
7863.20721875 |
transcript.pyannote[1157].speaker |
SPEAKER_18 |
transcript.pyannote[1157].start |
7863.59534375 |
transcript.pyannote[1157].end |
7864.45596875 |
transcript.pyannote[1158].speaker |
SPEAKER_06 |
transcript.pyannote[1158].start |
7864.45596875 |
transcript.pyannote[1158].end |
7864.48971875 |
transcript.pyannote[1159].speaker |
SPEAKER_06 |
transcript.pyannote[1159].start |
7864.72596875 |
transcript.pyannote[1159].end |
7864.75971875 |
transcript.pyannote[1160].speaker |
SPEAKER_18 |
transcript.pyannote[1160].start |
7864.75971875 |
transcript.pyannote[1160].end |
7865.40096875 |
transcript.pyannote[1161].speaker |
SPEAKER_06 |
transcript.pyannote[1161].start |
7865.40096875 |
transcript.pyannote[1161].end |
7865.41784375 |
transcript.pyannote[1162].speaker |
SPEAKER_04 |
transcript.pyannote[1162].start |
7866.53159375 |
transcript.pyannote[1162].end |
7867.08846875 |
transcript.pyannote[1163].speaker |
SPEAKER_03 |
transcript.pyannote[1163].start |
7867.08846875 |
transcript.pyannote[1163].end |
7867.10534375 |
transcript.pyannote[1164].speaker |
SPEAKER_18 |
transcript.pyannote[1164].start |
7867.37534375 |
transcript.pyannote[1164].end |
7867.39221875 |
transcript.pyannote[1165].speaker |
SPEAKER_06 |
transcript.pyannote[1165].start |
7867.39221875 |
transcript.pyannote[1165].end |
7867.88159375 |
transcript.pyannote[1166].speaker |
SPEAKER_06 |
transcript.pyannote[1166].start |
7868.97846875 |
transcript.pyannote[1166].end |
7870.88534375 |
transcript.pyannote[1167].speaker |
SPEAKER_06 |
transcript.pyannote[1167].start |
7870.96971875 |
transcript.pyannote[1167].end |
7870.98659375 |
transcript.pyannote[1168].speaker |
SPEAKER_06 |
transcript.pyannote[1168].start |
7871.07096875 |
transcript.pyannote[1168].end |
7873.61909375 |
transcript.pyannote[1169].speaker |
SPEAKER_19 |
transcript.pyannote[1169].start |
7900.24784375 |
transcript.pyannote[1169].end |
7904.09534375 |
transcript.pyannote[1170].speaker |
SPEAKER_30 |
transcript.pyannote[1170].start |
7900.80471875 |
transcript.pyannote[1170].end |
7900.93971875 |
transcript.pyannote[1171].speaker |
SPEAKER_30 |
transcript.pyannote[1171].start |
7901.63159375 |
transcript.pyannote[1171].end |
7901.85096875 |
transcript.pyannote[1172].speaker |
SPEAKER_42 |
transcript.pyannote[1172].start |
7903.38659375 |
transcript.pyannote[1172].end |
7903.60596875 |
transcript.pyannote[1173].speaker |
SPEAKER_19 |
transcript.pyannote[1173].start |
7904.21346875 |
transcript.pyannote[1173].end |
7904.28096875 |
transcript.pyannote[1174].speaker |
SPEAKER_19 |
transcript.pyannote[1174].start |
7904.82096875 |
transcript.pyannote[1174].end |
7904.85471875 |
transcript.pyannote[1175].speaker |
SPEAKER_19 |
transcript.pyannote[1175].start |
7904.93909375 |
transcript.pyannote[1175].end |
7905.51284375 |
transcript.pyannote[1176].speaker |
SPEAKER_19 |
transcript.pyannote[1176].start |
7905.64784375 |
transcript.pyannote[1176].end |
7906.94721875 |
transcript.pyannote[1177].speaker |
SPEAKER_19 |
transcript.pyannote[1177].start |
7908.58409375 |
transcript.pyannote[1177].end |
7909.02284375 |
transcript.pyannote[1178].speaker |
SPEAKER_19 |
transcript.pyannote[1178].start |
7910.25471875 |
transcript.pyannote[1178].end |
7910.49096875 |
transcript.pyannote[1179].speaker |
SPEAKER_19 |
transcript.pyannote[1179].start |
7938.45284375 |
transcript.pyannote[1179].end |
7938.80721875 |
transcript.pyannote[1180].speaker |
SPEAKER_19 |
transcript.pyannote[1180].start |
7938.92534375 |
transcript.pyannote[1180].end |
7938.95909375 |
transcript.pyannote[1181].speaker |
SPEAKER_19 |
transcript.pyannote[1181].start |
7976.97846875 |
transcript.pyannote[1181].end |
7980.03284375 |
transcript.pyannote[1182].speaker |
SPEAKER_19 |
transcript.pyannote[1182].start |
7980.97784375 |
transcript.pyannote[1182].end |
7981.02846875 |
transcript.pyannote[1183].speaker |
SPEAKER_19 |
transcript.pyannote[1183].start |
7981.77096875 |
transcript.pyannote[1183].end |
7986.02346875 |
transcript.pyannote[1184].speaker |
SPEAKER_19 |
transcript.pyannote[1184].start |
7987.66034375 |
transcript.pyannote[1184].end |
7987.69409375 |
transcript.pyannote[1185].speaker |
SPEAKER_19 |
transcript.pyannote[1185].start |
7987.89659375 |
transcript.pyannote[1185].end |
7988.50409375 |
transcript.pyannote[1186].speaker |
SPEAKER_19 |
transcript.pyannote[1186].start |
7993.16159375 |
transcript.pyannote[1186].end |
7993.34721875 |
transcript.pyannote[1187].speaker |
SPEAKER_19 |
transcript.pyannote[1187].start |
7994.22471875 |
transcript.pyannote[1187].end |
7994.88284375 |
transcript.pyannote[1188].speaker |
SPEAKER_19 |
transcript.pyannote[1188].start |
7994.96721875 |
transcript.pyannote[1188].end |
7995.03471875 |
transcript.pyannote[1189].speaker |
SPEAKER_19 |
transcript.pyannote[1189].start |
8008.28159375 |
transcript.pyannote[1189].end |
8012.77034375 |
transcript.pyannote[1190].speaker |
SPEAKER_19 |
transcript.pyannote[1190].start |
8013.58034375 |
transcript.pyannote[1190].end |
8017.00596875 |
transcript.pyannote[1191].speaker |
SPEAKER_19 |
transcript.pyannote[1191].start |
8017.86659375 |
transcript.pyannote[1191].end |
8019.03096875 |
transcript.pyannote[1192].speaker |
SPEAKER_19 |
transcript.pyannote[1192].start |
8027.97471875 |
transcript.pyannote[1192].end |
8028.02534375 |
transcript.pyannote[1193].speaker |
SPEAKER_19 |
transcript.pyannote[1193].start |
8055.56534375 |
transcript.pyannote[1193].end |
8055.61596875 |
transcript.pyannote[1194].speaker |
SPEAKER_19 |
transcript.pyannote[1194].start |
8056.74659375 |
transcript.pyannote[1194].end |
8056.81409375 |
transcript.pyannote[1195].speaker |
SPEAKER_19 |
transcript.pyannote[1195].start |
8056.84784375 |
transcript.pyannote[1195].end |
8065.03221875 |
transcript.pyannote[1196].speaker |
SPEAKER_19 |
transcript.pyannote[1196].start |
8072.99721875 |
transcript.pyannote[1196].end |
8081.02971875 |
transcript.pyannote[1197].speaker |
SPEAKER_19 |
transcript.pyannote[1197].start |
8082.58221875 |
transcript.pyannote[1197].end |
8110.72971875 |
transcript.pyannote[1198].speaker |
SPEAKER_19 |
transcript.pyannote[1198].start |
8111.79284375 |
transcript.pyannote[1198].end |
8112.09659375 |
transcript.pyannote[1199].speaker |
SPEAKER_19 |
transcript.pyannote[1199].start |
8145.13784375 |
transcript.pyannote[1199].end |
8145.64409375 |
transcript.pyannote[1200].speaker |
SPEAKER_19 |
transcript.pyannote[1200].start |
8146.65659375 |
transcript.pyannote[1200].end |
8147.19659375 |
transcript.pyannote[1201].speaker |
SPEAKER_19 |
transcript.pyannote[1201].start |
8148.44534375 |
transcript.pyannote[1201].end |
8171.02409375 |
transcript.pyannote[1202].speaker |
SPEAKER_19 |
transcript.pyannote[1202].start |
8191.96596875 |
transcript.pyannote[1202].end |
8193.78846875 |
transcript.pyannote[1203].speaker |
SPEAKER_19 |
transcript.pyannote[1203].start |
8194.22721875 |
transcript.pyannote[1203].end |
8196.13409375 |
transcript.pyannote[1204].speaker |
SPEAKER_19 |
transcript.pyannote[1204].start |
8196.55596875 |
transcript.pyannote[1204].end |
8202.91784375 |
transcript.pyannote[1205].speaker |
SPEAKER_19 |
transcript.pyannote[1205].start |
8203.54221875 |
transcript.pyannote[1205].end |
8206.03971875 |
transcript.pyannote[1206].speaker |
SPEAKER_19 |
transcript.pyannote[1206].start |
8210.03909375 |
transcript.pyannote[1206].end |
8219.45534375 |
transcript.pyannote[1207].speaker |
SPEAKER_19 |
transcript.pyannote[1207].start |
8222.77971875 |
transcript.pyannote[1207].end |
8238.03471875 |
transcript.pyannote[1208].speaker |
SPEAKER_19 |
transcript.pyannote[1208].start |
8242.92846875 |
transcript.pyannote[1208].end |
8242.97909375 |
transcript.pyannote[1209].speaker |
SPEAKER_19 |
transcript.pyannote[1209].start |
8244.54846875 |
transcript.pyannote[1209].end |
8245.03784375 |
transcript.pyannote[1210].speaker |
SPEAKER_19 |
transcript.pyannote[1210].start |
8247.88971875 |
transcript.pyannote[1210].end |
8247.90659375 |
transcript.pyannote[1211].speaker |
SPEAKER_19 |
transcript.pyannote[1211].start |
8250.10034375 |
transcript.pyannote[1211].end |
8250.84284375 |
transcript.pyannote[1212].speaker |
SPEAKER_19 |
transcript.pyannote[1212].start |
8250.97784375 |
transcript.pyannote[1212].end |
8251.02846875 |
transcript.pyannote[1213].speaker |
SPEAKER_19 |
transcript.pyannote[1213].start |
8251.34909375 |
transcript.pyannote[1213].end |
8251.36596875 |
transcript.pyannote[1214].speaker |
SPEAKER_19 |
transcript.pyannote[1214].start |
8251.38284375 |
transcript.pyannote[1214].end |
8252.37846875 |
transcript.pyannote[1215].speaker |
SPEAKER_19 |
transcript.pyannote[1215].start |
8252.73284375 |
transcript.pyannote[1215].end |
8253.20534375 |
transcript.pyannote[1216].speaker |
SPEAKER_04 |
transcript.pyannote[1216].start |
8455.87409375 |
transcript.pyannote[1216].end |
8457.35909375 |
transcript.pyannote[1217].speaker |
SPEAKER_04 |
transcript.pyannote[1217].start |
8457.56159375 |
transcript.pyannote[1217].end |
8459.99159375 |
transcript.pyannote[1218].speaker |
SPEAKER_04 |
transcript.pyannote[1218].start |
8464.64909375 |
transcript.pyannote[1218].end |
8465.20596875 |
transcript.pyannote[1219].speaker |
SPEAKER_39 |
transcript.pyannote[1219].start |
8471.36534375 |
transcript.pyannote[1219].end |
8475.88784375 |
transcript.pyannote[1220].speaker |
SPEAKER_04 |
transcript.pyannote[1220].start |
8474.97659375 |
transcript.pyannote[1220].end |
8476.64721875 |
transcript.pyannote[1221].speaker |
SPEAKER_39 |
transcript.pyannote[1221].start |
8486.16471875 |
transcript.pyannote[1221].end |
8502.06096875 |
transcript.pyannote[1222].speaker |
SPEAKER_00 |
transcript.pyannote[1222].start |
8487.26159375 |
transcript.pyannote[1222].end |
8487.81846875 |
transcript.pyannote[1223].speaker |
SPEAKER_39 |
transcript.pyannote[1223].start |
8502.29721875 |
transcript.pyannote[1223].end |
8504.69346875 |
transcript.pyannote[1224].speaker |
SPEAKER_39 |
transcript.pyannote[1224].start |
8505.04784375 |
transcript.pyannote[1224].end |
8509.92471875 |
transcript.pyannote[1225].speaker |
SPEAKER_39 |
transcript.pyannote[1225].start |
8510.12721875 |
transcript.pyannote[1225].end |
8513.97471875 |
transcript.pyannote[1226].speaker |
SPEAKER_39 |
transcript.pyannote[1226].start |
8514.22784375 |
transcript.pyannote[1226].end |
8518.46346875 |
transcript.pyannote[1227].speaker |
SPEAKER_39 |
transcript.pyannote[1227].start |
8518.71659375 |
transcript.pyannote[1227].end |
8531.35596875 |
transcript.pyannote[1228].speaker |
SPEAKER_39 |
transcript.pyannote[1228].start |
8531.91284375 |
transcript.pyannote[1228].end |
8538.64596875 |
transcript.pyannote[1229].speaker |
SPEAKER_39 |
transcript.pyannote[1229].start |
8538.71346875 |
transcript.pyannote[1229].end |
8542.76346875 |
transcript.pyannote[1230].speaker |
SPEAKER_39 |
transcript.pyannote[1230].start |
8542.91534375 |
transcript.pyannote[1230].end |
8588.93346875 |
transcript.pyannote[1231].speaker |
SPEAKER_39 |
transcript.pyannote[1231].start |
8589.05159375 |
transcript.pyannote[1231].end |
8621.36721875 |
transcript.pyannote[1232].speaker |
SPEAKER_39 |
transcript.pyannote[1232].start |
8621.89034375 |
transcript.pyannote[1232].end |
8622.85221875 |
transcript.pyannote[1233].speaker |
SPEAKER_39 |
transcript.pyannote[1233].start |
8623.13909375 |
transcript.pyannote[1233].end |
8629.29846875 |
transcript.pyannote[1234].speaker |
SPEAKER_18 |
transcript.pyannote[1234].start |
8629.41659375 |
transcript.pyannote[1234].end |
8697.50721875 |
transcript.pyannote[1235].speaker |
SPEAKER_19 |
transcript.pyannote[1235].start |
8667.35159375 |
transcript.pyannote[1235].end |
8667.38534375 |
transcript.pyannote[1236].speaker |
SPEAKER_31 |
transcript.pyannote[1236].start |
8667.38534375 |
transcript.pyannote[1236].end |
8667.68909375 |
transcript.pyannote[1237].speaker |
SPEAKER_19 |
transcript.pyannote[1237].start |
8667.68909375 |
transcript.pyannote[1237].end |
8667.70596875 |
transcript.pyannote[1238].speaker |
SPEAKER_39 |
transcript.pyannote[1238].start |
8697.77721875 |
transcript.pyannote[1238].end |
8704.93221875 |
transcript.pyannote[1239].speaker |
SPEAKER_18 |
transcript.pyannote[1239].start |
8704.99971875 |
transcript.pyannote[1239].end |
8727.51096875 |
transcript.pyannote[1240].speaker |
SPEAKER_39 |
transcript.pyannote[1240].start |
8709.38721875 |
transcript.pyannote[1240].end |
8709.96096875 |
transcript.pyannote[1241].speaker |
SPEAKER_39 |
transcript.pyannote[1241].start |
8727.42659375 |
transcript.pyannote[1241].end |
8731.05471875 |
transcript.pyannote[1242].speaker |
SPEAKER_39 |
transcript.pyannote[1242].start |
8731.44284375 |
transcript.pyannote[1242].end |
8736.16784375 |
transcript.pyannote[1243].speaker |
SPEAKER_18 |
transcript.pyannote[1243].start |
8731.45971875 |
transcript.pyannote[1243].end |
8732.87721875 |
transcript.pyannote[1244].speaker |
SPEAKER_18 |
transcript.pyannote[1244].start |
8737.01159375 |
transcript.pyannote[1244].end |
8771.41971875 |
transcript.pyannote[1245].speaker |
SPEAKER_39 |
transcript.pyannote[1245].start |
8737.23096875 |
transcript.pyannote[1245].end |
8738.24346875 |
transcript.pyannote[1246].speaker |
SPEAKER_28 |
transcript.pyannote[1246].start |
8738.24346875 |
transcript.pyannote[1246].end |
8738.29409375 |
transcript.pyannote[1247].speaker |
SPEAKER_39 |
transcript.pyannote[1247].start |
8738.29409375 |
transcript.pyannote[1247].end |
8738.44596875 |
transcript.pyannote[1248].speaker |
SPEAKER_28 |
transcript.pyannote[1248].start |
8738.44596875 |
transcript.pyannote[1248].end |
8738.71596875 |
transcript.pyannote[1249].speaker |
SPEAKER_39 |
transcript.pyannote[1249].start |
8738.71596875 |
transcript.pyannote[1249].end |
8739.30659375 |
transcript.pyannote[1250].speaker |
SPEAKER_39 |
transcript.pyannote[1250].start |
8771.63909375 |
transcript.pyannote[1250].end |
8780.36346875 |
transcript.pyannote[1251].speaker |
SPEAKER_09 |
transcript.pyannote[1251].start |
8780.85284375 |
transcript.pyannote[1251].end |
8788.07534375 |
transcript.pyannote[1252].speaker |
SPEAKER_09 |
transcript.pyannote[1252].start |
8788.59846875 |
transcript.pyannote[1252].end |
8792.32784375 |
transcript.pyannote[1253].speaker |
SPEAKER_09 |
transcript.pyannote[1253].start |
8792.58096875 |
transcript.pyannote[1253].end |
8794.96034375 |
transcript.pyannote[1254].speaker |
SPEAKER_09 |
transcript.pyannote[1254].start |
8795.12909375 |
transcript.pyannote[1254].end |
8805.11909375 |
transcript.pyannote[1255].speaker |
SPEAKER_09 |
transcript.pyannote[1255].start |
8805.52409375 |
transcript.pyannote[1255].end |
8817.03284375 |
transcript.pyannote[1256].speaker |
SPEAKER_09 |
transcript.pyannote[1256].start |
8817.94409375 |
transcript.pyannote[1256].end |
8818.77096875 |
transcript.pyannote[1257].speaker |
SPEAKER_09 |
transcript.pyannote[1257].start |
8819.17596875 |
transcript.pyannote[1257].end |
8825.87534375 |
transcript.pyannote[1258].speaker |
SPEAKER_09 |
transcript.pyannote[1258].start |
8826.19596875 |
transcript.pyannote[1258].end |
8829.73971875 |
transcript.pyannote[1259].speaker |
SPEAKER_09 |
transcript.pyannote[1259].start |
8830.09409375 |
transcript.pyannote[1259].end |
8836.64159375 |
transcript.pyannote[1260].speaker |
SPEAKER_09 |
transcript.pyannote[1260].start |
8837.04659375 |
transcript.pyannote[1260].end |
8852.48721875 |
transcript.pyannote[1261].speaker |
SPEAKER_39 |
transcript.pyannote[1261].start |
8852.97659375 |
transcript.pyannote[1261].end |
8860.85721875 |
transcript.pyannote[1262].speaker |
SPEAKER_39 |
transcript.pyannote[1262].start |
8860.94159375 |
transcript.pyannote[1262].end |
8869.27784375 |
transcript.pyannote[1263].speaker |
SPEAKER_30 |
transcript.pyannote[1263].start |
8869.48034375 |
transcript.pyannote[1263].end |
8870.39159375 |
transcript.pyannote[1264].speaker |
SPEAKER_39 |
transcript.pyannote[1264].start |
8870.07096875 |
transcript.pyannote[1264].end |
8907.65159375 |
transcript.pyannote[1265].speaker |
SPEAKER_30 |
transcript.pyannote[1265].start |
8871.13409375 |
transcript.pyannote[1265].end |
8871.62346875 |
transcript.pyannote[1266].speaker |
SPEAKER_30 |
transcript.pyannote[1266].start |
8871.69096875 |
transcript.pyannote[1266].end |
8871.85971875 |
transcript.pyannote[1267].speaker |
SPEAKER_00 |
transcript.pyannote[1267].start |
8883.77346875 |
transcript.pyannote[1267].end |
8883.79034375 |
transcript.pyannote[1268].speaker |
SPEAKER_30 |
transcript.pyannote[1268].start |
8883.79034375 |
transcript.pyannote[1268].end |
8884.26284375 |
transcript.pyannote[1269].speaker |
SPEAKER_30 |
transcript.pyannote[1269].start |
8887.19909375 |
transcript.pyannote[1269].end |
8887.68846875 |
transcript.pyannote[1270].speaker |
SPEAKER_00 |
transcript.pyannote[1270].start |
8889.84846875 |
transcript.pyannote[1270].end |
8891.11409375 |
transcript.pyannote[1271].speaker |
SPEAKER_30 |
transcript.pyannote[1271].start |
8896.48034375 |
transcript.pyannote[1271].end |
8897.05409375 |
transcript.pyannote[1272].speaker |
SPEAKER_30 |
transcript.pyannote[1272].start |
8901.44159375 |
transcript.pyannote[1272].end |
8901.47534375 |
transcript.pyannote[1273].speaker |
SPEAKER_09 |
transcript.pyannote[1273].start |
8901.47534375 |
transcript.pyannote[1273].end |
8901.91409375 |
transcript.pyannote[1274].speaker |
SPEAKER_09 |
transcript.pyannote[1274].start |
8906.18346875 |
transcript.pyannote[1274].end |
8906.87534375 |
transcript.pyannote[1275].speaker |
SPEAKER_09 |
transcript.pyannote[1275].start |
8907.65159375 |
transcript.pyannote[1275].end |
8907.73596875 |
transcript.pyannote[1276].speaker |
SPEAKER_09 |
transcript.pyannote[1276].start |
8907.82034375 |
transcript.pyannote[1276].end |
8914.31721875 |
transcript.pyannote[1277].speaker |
SPEAKER_30 |
transcript.pyannote[1277].start |
8914.53659375 |
transcript.pyannote[1277].end |
8915.14409375 |
transcript.pyannote[1278].speaker |
SPEAKER_09 |
transcript.pyannote[1278].start |
8914.78971875 |
transcript.pyannote[1278].end |
8939.61284375 |
transcript.pyannote[1279].speaker |
SPEAKER_39 |
transcript.pyannote[1279].start |
8939.73096875 |
transcript.pyannote[1279].end |
8948.13471875 |
transcript.pyannote[1280].speaker |
SPEAKER_39 |
transcript.pyannote[1280].start |
8948.20221875 |
transcript.pyannote[1280].end |
8948.21909375 |
transcript.pyannote[1281].speaker |
SPEAKER_39 |
transcript.pyannote[1281].start |
8948.25284375 |
transcript.pyannote[1281].end |
8966.52846875 |
transcript.pyannote[1282].speaker |
SPEAKER_39 |
transcript.pyannote[1282].start |
8966.69721875 |
transcript.pyannote[1282].end |
8970.64596875 |
transcript.pyannote[1283].speaker |
SPEAKER_18 |
transcript.pyannote[1283].start |
8970.86534375 |
transcript.pyannote[1283].end |
9001.64534375 |
transcript.pyannote[1284].speaker |
SPEAKER_39 |
transcript.pyannote[1284].start |
8978.05409375 |
transcript.pyannote[1284].end |
8979.13409375 |
transcript.pyannote[1285].speaker |
SPEAKER_39 |
transcript.pyannote[1285].start |
9001.89846875 |
transcript.pyannote[1285].end |
9018.46971875 |
transcript.pyannote[1286].speaker |
SPEAKER_39 |
transcript.pyannote[1286].start |
9018.52034375 |
transcript.pyannote[1286].end |
9020.46096875 |
transcript.pyannote[1287].speaker |
SPEAKER_39 |
transcript.pyannote[1287].start |
9020.71409375 |
transcript.pyannote[1287].end |
9032.30721875 |
transcript.pyannote[1288].speaker |
SPEAKER_09 |
transcript.pyannote[1288].start |
9032.12159375 |
transcript.pyannote[1288].end |
9032.27346875 |
transcript.pyannote[1289].speaker |
SPEAKER_09 |
transcript.pyannote[1289].start |
9032.30721875 |
transcript.pyannote[1289].end |
9032.32409375 |
transcript.pyannote[1290].speaker |
SPEAKER_39 |
transcript.pyannote[1290].start |
9032.32409375 |
transcript.pyannote[1290].end |
9032.34096875 |
transcript.pyannote[1291].speaker |
SPEAKER_09 |
transcript.pyannote[1291].start |
9032.34096875 |
transcript.pyannote[1291].end |
9032.37471875 |
transcript.pyannote[1292].speaker |
SPEAKER_39 |
transcript.pyannote[1292].start |
9032.37471875 |
transcript.pyannote[1292].end |
9033.26909375 |
transcript.pyannote[1293].speaker |
SPEAKER_09 |
transcript.pyannote[1293].start |
9033.26909375 |
transcript.pyannote[1293].end |
9033.28596875 |
transcript.pyannote[1294].speaker |
SPEAKER_04 |
transcript.pyannote[1294].start |
9033.28596875 |
transcript.pyannote[1294].end |
9034.41659375 |
transcript.pyannote[1295].speaker |
SPEAKER_04 |
transcript.pyannote[1295].start |
9036.20534375 |
transcript.pyannote[1295].end |
9040.54221875 |
transcript.pyannote[1296].speaker |
SPEAKER_08 |
transcript.pyannote[1296].start |
9051.76409375 |
transcript.pyannote[1296].end |
9056.64096875 |
transcript.pyannote[1297].speaker |
SPEAKER_08 |
transcript.pyannote[1297].start |
9057.13034375 |
transcript.pyannote[1297].end |
9059.83034375 |
transcript.pyannote[1298].speaker |
SPEAKER_04 |
transcript.pyannote[1298].start |
9057.41721875 |
transcript.pyannote[1298].end |
9058.04159375 |
transcript.pyannote[1299].speaker |
SPEAKER_08 |
transcript.pyannote[1299].start |
9067.03596875 |
transcript.pyannote[1299].end |
9067.44096875 |
transcript.pyannote[1300].speaker |
SPEAKER_08 |
transcript.pyannote[1300].start |
9068.75721875 |
transcript.pyannote[1300].end |
9078.47721875 |
transcript.pyannote[1301].speaker |
SPEAKER_22 |
transcript.pyannote[1301].start |
9076.11471875 |
transcript.pyannote[1301].end |
9076.19909375 |
transcript.pyannote[1302].speaker |
SPEAKER_08 |
transcript.pyannote[1302].start |
9079.18596875 |
transcript.pyannote[1302].end |
9081.05909375 |
transcript.pyannote[1303].speaker |
SPEAKER_08 |
transcript.pyannote[1303].start |
9081.44721875 |
transcript.pyannote[1303].end |
9085.48034375 |
transcript.pyannote[1304].speaker |
SPEAKER_08 |
transcript.pyannote[1304].start |
9086.12159375 |
transcript.pyannote[1304].end |
9097.34346875 |
transcript.pyannote[1305].speaker |
SPEAKER_10 |
transcript.pyannote[1305].start |
9090.40784375 |
transcript.pyannote[1305].end |
9090.44159375 |
transcript.pyannote[1306].speaker |
SPEAKER_03 |
transcript.pyannote[1306].start |
9090.44159375 |
transcript.pyannote[1306].end |
9091.13346875 |
transcript.pyannote[1307].speaker |
SPEAKER_08 |
transcript.pyannote[1307].start |
9097.81596875 |
transcript.pyannote[1307].end |
9099.18284375 |
transcript.pyannote[1308].speaker |
SPEAKER_08 |
transcript.pyannote[1308].start |
9099.48659375 |
transcript.pyannote[1308].end |
9100.27971875 |
transcript.pyannote[1309].speaker |
SPEAKER_08 |
transcript.pyannote[1309].start |
9101.29221875 |
transcript.pyannote[1309].end |
9102.67596875 |
transcript.pyannote[1310].speaker |
SPEAKER_08 |
transcript.pyannote[1310].start |
9104.16096875 |
transcript.pyannote[1310].end |
9108.36284375 |
transcript.pyannote[1311].speaker |
SPEAKER_08 |
transcript.pyannote[1311].start |
9109.02096875 |
transcript.pyannote[1311].end |
9117.10409375 |
transcript.pyannote[1312].speaker |
SPEAKER_08 |
transcript.pyannote[1312].start |
9117.72846875 |
transcript.pyannote[1312].end |
9120.36096875 |
transcript.pyannote[1313].speaker |
SPEAKER_08 |
transcript.pyannote[1313].start |
9120.66471875 |
transcript.pyannote[1313].end |
9122.40284375 |
transcript.pyannote[1314].speaker |
SPEAKER_08 |
transcript.pyannote[1314].start |
9122.72346875 |
transcript.pyannote[1314].end |
9125.45721875 |
transcript.pyannote[1315].speaker |
SPEAKER_08 |
transcript.pyannote[1315].start |
9126.65534375 |
transcript.pyannote[1315].end |
9127.65096875 |
transcript.pyannote[1316].speaker |
SPEAKER_08 |
transcript.pyannote[1316].start |
9128.34284375 |
transcript.pyannote[1316].end |
9133.35471875 |
transcript.pyannote[1317].speaker |
SPEAKER_08 |
transcript.pyannote[1317].start |
9134.31659375 |
transcript.pyannote[1317].end |
9136.20659375 |
transcript.pyannote[1318].speaker |
SPEAKER_08 |
transcript.pyannote[1318].start |
9136.69596875 |
transcript.pyannote[1318].end |
9138.94034375 |
transcript.pyannote[1319].speaker |
SPEAKER_08 |
transcript.pyannote[1319].start |
9139.58159375 |
transcript.pyannote[1319].end |
9140.12159375 |
transcript.pyannote[1320].speaker |
SPEAKER_08 |
transcript.pyannote[1320].start |
9141.64034375 |
transcript.pyannote[1320].end |
9145.16721875 |
transcript.pyannote[1321].speaker |
SPEAKER_08 |
transcript.pyannote[1321].start |
9146.28096875 |
transcript.pyannote[1321].end |
9146.58471875 |
transcript.pyannote[1322].speaker |
SPEAKER_08 |
transcript.pyannote[1322].start |
9147.51284375 |
transcript.pyannote[1322].end |
9149.35221875 |
transcript.pyannote[1323].speaker |
SPEAKER_08 |
transcript.pyannote[1323].start |
9149.94284375 |
transcript.pyannote[1323].end |
9150.39846875 |
transcript.pyannote[1324].speaker |
SPEAKER_08 |
transcript.pyannote[1324].start |
9151.42784375 |
transcript.pyannote[1324].end |
9164.01659375 |
transcript.pyannote[1325].speaker |
SPEAKER_31 |
transcript.pyannote[1325].start |
9164.01659375 |
transcript.pyannote[1325].end |
9164.26971875 |
transcript.pyannote[1326].speaker |
SPEAKER_08 |
transcript.pyannote[1326].start |
9164.89409375 |
transcript.pyannote[1326].end |
9166.24409375 |
transcript.pyannote[1327].speaker |
SPEAKER_08 |
transcript.pyannote[1327].start |
9167.23971875 |
transcript.pyannote[1327].end |
9167.98221875 |
transcript.pyannote[1328].speaker |
SPEAKER_08 |
transcript.pyannote[1328].start |
9168.26909375 |
transcript.pyannote[1328].end |
9169.02846875 |
transcript.pyannote[1329].speaker |
SPEAKER_08 |
transcript.pyannote[1329].start |
9169.43346875 |
transcript.pyannote[1329].end |
9171.07034375 |
transcript.pyannote[1330].speaker |
SPEAKER_08 |
transcript.pyannote[1330].start |
9172.60596875 |
transcript.pyannote[1330].end |
9174.81659375 |
transcript.pyannote[1331].speaker |
SPEAKER_08 |
transcript.pyannote[1331].start |
9175.33971875 |
transcript.pyannote[1331].end |
9176.26784375 |
transcript.pyannote[1332].speaker |
SPEAKER_08 |
transcript.pyannote[1332].start |
9177.01034375 |
transcript.pyannote[1332].end |
9178.14096875 |
transcript.pyannote[1333].speaker |
SPEAKER_08 |
transcript.pyannote[1333].start |
9179.35596875 |
transcript.pyannote[1333].end |
9180.80721875 |
transcript.pyannote[1334].speaker |
SPEAKER_31 |
transcript.pyannote[1334].start |
9180.84096875 |
transcript.pyannote[1334].end |
9181.21221875 |
transcript.pyannote[1335].speaker |
SPEAKER_08 |
transcript.pyannote[1335].start |
9181.21221875 |
transcript.pyannote[1335].end |
9181.29659375 |
transcript.pyannote[1336].speaker |
SPEAKER_08 |
transcript.pyannote[1336].start |
9181.48221875 |
transcript.pyannote[1336].end |
9182.10659375 |
transcript.pyannote[1337].speaker |
SPEAKER_08 |
transcript.pyannote[1337].start |
9183.05159375 |
transcript.pyannote[1337].end |
9184.95846875 |
transcript.pyannote[1338].speaker |
SPEAKER_08 |
transcript.pyannote[1338].start |
9185.02596875 |
transcript.pyannote[1338].end |
9185.12721875 |
transcript.pyannote[1339].speaker |
SPEAKER_31 |
transcript.pyannote[1339].start |
9185.12721875 |
transcript.pyannote[1339].end |
9185.36346875 |
transcript.pyannote[1340].speaker |
SPEAKER_08 |
transcript.pyannote[1340].start |
9185.14409375 |
transcript.pyannote[1340].end |
9185.19471875 |
transcript.pyannote[1341].speaker |
SPEAKER_08 |
transcript.pyannote[1341].start |
9185.36346875 |
transcript.pyannote[1341].end |
9185.43096875 |
transcript.pyannote[1342].speaker |
SPEAKER_08 |
transcript.pyannote[1342].start |
9185.63346875 |
transcript.pyannote[1342].end |
9188.43471875 |
transcript.pyannote[1343].speaker |
SPEAKER_08 |
transcript.pyannote[1343].start |
9189.36284375 |
transcript.pyannote[1343].end |
9193.51409375 |
transcript.pyannote[1344].speaker |
SPEAKER_31 |
transcript.pyannote[1344].start |
9189.44721875 |
transcript.pyannote[1344].end |
9190.03784375 |
transcript.pyannote[1345].speaker |
SPEAKER_18 |
transcript.pyannote[1345].start |
9190.03784375 |
transcript.pyannote[1345].end |
9190.27409375 |
transcript.pyannote[1346].speaker |
SPEAKER_31 |
transcript.pyannote[1346].start |
9190.27409375 |
transcript.pyannote[1346].end |
9190.30784375 |
transcript.pyannote[1347].speaker |
SPEAKER_18 |
transcript.pyannote[1347].start |
9194.86409375 |
transcript.pyannote[1347].end |
9195.20159375 |
transcript.pyannote[1348].speaker |
SPEAKER_08 |
transcript.pyannote[1348].start |
9195.01596875 |
transcript.pyannote[1348].end |
9197.85096875 |
transcript.pyannote[1349].speaker |
SPEAKER_08 |
transcript.pyannote[1349].start |
9198.72846875 |
transcript.pyannote[1349].end |
9201.04034375 |
transcript.pyannote[1350].speaker |
SPEAKER_08 |
transcript.pyannote[1350].start |
9202.12034375 |
transcript.pyannote[1350].end |
9207.82409375 |
transcript.pyannote[1351].speaker |
SPEAKER_08 |
transcript.pyannote[1351].start |
9208.46534375 |
transcript.pyannote[1351].end |
9210.37221875 |
transcript.pyannote[1352].speaker |
SPEAKER_08 |
transcript.pyannote[1352].start |
9211.63784375 |
transcript.pyannote[1352].end |
9213.56159375 |
transcript.pyannote[1353].speaker |
SPEAKER_08 |
transcript.pyannote[1353].start |
9214.16909375 |
transcript.pyannote[1353].end |
9216.26159375 |
transcript.pyannote[1354].speaker |
SPEAKER_08 |
transcript.pyannote[1354].start |
9216.93659375 |
transcript.pyannote[1354].end |
9217.91534375 |
transcript.pyannote[1355].speaker |
SPEAKER_08 |
transcript.pyannote[1355].start |
9219.16409375 |
transcript.pyannote[1355].end |
9221.02034375 |
transcript.pyannote[1356].speaker |
SPEAKER_08 |
transcript.pyannote[1356].start |
9222.03284375 |
transcript.pyannote[1356].end |
9224.69909375 |
transcript.pyannote[1357].speaker |
SPEAKER_08 |
transcript.pyannote[1357].start |
9225.22221875 |
transcript.pyannote[1357].end |
9226.35284375 |
transcript.pyannote[1358].speaker |
SPEAKER_08 |
transcript.pyannote[1358].start |
9226.62284375 |
transcript.pyannote[1358].end |
9227.48346875 |
transcript.pyannote[1359].speaker |
SPEAKER_08 |
transcript.pyannote[1359].start |
9227.90534375 |
transcript.pyannote[1359].end |
9231.06096875 |
transcript.pyannote[1360].speaker |
SPEAKER_08 |
transcript.pyannote[1360].start |
9231.28034375 |
transcript.pyannote[1360].end |
9234.55409375 |
transcript.pyannote[1361].speaker |
SPEAKER_08 |
transcript.pyannote[1361].start |
9234.72284375 |
transcript.pyannote[1361].end |
9237.25409375 |
transcript.pyannote[1362].speaker |
SPEAKER_08 |
transcript.pyannote[1362].start |
9237.67596875 |
transcript.pyannote[1362].end |
9239.27909375 |
transcript.pyannote[1363].speaker |
SPEAKER_08 |
transcript.pyannote[1363].start |
9239.65034375 |
transcript.pyannote[1363].end |
9241.35471875 |
transcript.pyannote[1364].speaker |
SPEAKER_08 |
transcript.pyannote[1364].start |
9242.04659375 |
transcript.pyannote[1364].end |
9242.89034375 |
transcript.pyannote[1365].speaker |
SPEAKER_08 |
transcript.pyannote[1365].start |
9243.46409375 |
transcript.pyannote[1365].end |
9245.53971875 |
transcript.pyannote[1366].speaker |
SPEAKER_08 |
transcript.pyannote[1366].start |
9246.45096875 |
transcript.pyannote[1366].end |
9247.17659375 |
transcript.pyannote[1367].speaker |
SPEAKER_08 |
transcript.pyannote[1367].start |
9247.21034375 |
transcript.pyannote[1367].end |
9247.78409375 |
transcript.pyannote[1368].speaker |
SPEAKER_08 |
transcript.pyannote[1368].start |
9248.13846875 |
transcript.pyannote[1368].end |
9249.84284375 |
transcript.pyannote[1369].speaker |
SPEAKER_08 |
transcript.pyannote[1369].start |
9250.46721875 |
transcript.pyannote[1369].end |
9251.12534375 |
transcript.pyannote[1370].speaker |
SPEAKER_08 |
transcript.pyannote[1370].start |
9252.25596875 |
transcript.pyannote[1370].end |
9253.06596875 |
transcript.pyannote[1371].speaker |
SPEAKER_08 |
transcript.pyannote[1371].start |
9253.33596875 |
transcript.pyannote[1371].end |
9255.56346875 |
transcript.pyannote[1372].speaker |
SPEAKER_08 |
transcript.pyannote[1372].start |
9257.23409375 |
transcript.pyannote[1372].end |
9259.74846875 |
transcript.pyannote[1373].speaker |
SPEAKER_08 |
transcript.pyannote[1373].start |
9261.11534375 |
transcript.pyannote[1373].end |
9261.95909375 |
transcript.pyannote[1374].speaker |
SPEAKER_08 |
transcript.pyannote[1374].start |
9262.49909375 |
transcript.pyannote[1374].end |
9263.02221875 |
transcript.pyannote[1375].speaker |
SPEAKER_08 |
transcript.pyannote[1375].start |
9264.05159375 |
transcript.pyannote[1375].end |
9265.06409375 |
transcript.pyannote[1376].speaker |
SPEAKER_08 |
transcript.pyannote[1376].start |
9265.77284375 |
transcript.pyannote[1376].end |
9267.37596875 |
transcript.pyannote[1377].speaker |
SPEAKER_08 |
transcript.pyannote[1377].start |
9267.93284375 |
transcript.pyannote[1377].end |
9269.67096875 |
transcript.pyannote[1378].speaker |
SPEAKER_08 |
transcript.pyannote[1378].start |
9270.17721875 |
transcript.pyannote[1378].end |
9270.91971875 |
transcript.pyannote[1379].speaker |
SPEAKER_08 |
transcript.pyannote[1379].start |
9271.34159375 |
transcript.pyannote[1379].end |
9272.65784375 |
transcript.pyannote[1380].speaker |
SPEAKER_08 |
transcript.pyannote[1380].start |
9273.06284375 |
transcript.pyannote[1380].end |
9274.54784375 |
transcript.pyannote[1381].speaker |
SPEAKER_08 |
transcript.pyannote[1381].start |
9274.78409375 |
transcript.pyannote[1381].end |
9277.51784375 |
transcript.pyannote[1382].speaker |
SPEAKER_08 |
transcript.pyannote[1382].start |
9277.97346875 |
transcript.pyannote[1382].end |
9278.78346875 |
transcript.pyannote[1383].speaker |
SPEAKER_08 |
transcript.pyannote[1383].start |
9280.26846875 |
transcript.pyannote[1383].end |
9281.14596875 |
transcript.pyannote[1384].speaker |
SPEAKER_08 |
transcript.pyannote[1384].start |
9282.39471875 |
transcript.pyannote[1384].end |
9284.06534375 |
transcript.pyannote[1385].speaker |
SPEAKER_08 |
transcript.pyannote[1385].start |
9284.25096875 |
transcript.pyannote[1385].end |
9284.57159375 |
transcript.pyannote[1386].speaker |
SPEAKER_08 |
transcript.pyannote[1386].start |
9285.26346875 |
transcript.pyannote[1386].end |
9286.32659375 |
transcript.pyannote[1387].speaker |
SPEAKER_08 |
transcript.pyannote[1387].start |
9286.93409375 |
transcript.pyannote[1387].end |
9287.89596875 |
transcript.pyannote[1388].speaker |
SPEAKER_08 |
transcript.pyannote[1388].start |
9288.58784375 |
transcript.pyannote[1388].end |
9291.13596875 |
transcript.pyannote[1389].speaker |
SPEAKER_08 |
transcript.pyannote[1389].start |
9292.94159375 |
transcript.pyannote[1389].end |
9293.85284375 |
transcript.pyannote[1390].speaker |
SPEAKER_08 |
transcript.pyannote[1390].start |
9293.86971875 |
transcript.pyannote[1390].end |
9293.98784375 |
transcript.pyannote[1391].speaker |
SPEAKER_31 |
transcript.pyannote[1391].start |
9293.98784375 |
transcript.pyannote[1391].end |
9294.32534375 |
transcript.pyannote[1392].speaker |
SPEAKER_08 |
transcript.pyannote[1392].start |
9294.32534375 |
transcript.pyannote[1392].end |
9296.38409375 |
transcript.pyannote[1393].speaker |
SPEAKER_08 |
transcript.pyannote[1393].start |
9298.45971875 |
transcript.pyannote[1393].end |
9307.40346875 |
transcript.pyannote[1394].speaker |
SPEAKER_18 |
transcript.pyannote[1394].start |
9301.56471875 |
transcript.pyannote[1394].end |
9301.59846875 |
transcript.pyannote[1395].speaker |
SPEAKER_14 |
transcript.pyannote[1395].start |
9301.59846875 |
transcript.pyannote[1395].end |
9302.34096875 |
transcript.pyannote[1396].speaker |
SPEAKER_18 |
transcript.pyannote[1396].start |
9302.34096875 |
transcript.pyannote[1396].end |
9302.35784375 |
transcript.pyannote[1397].speaker |
SPEAKER_14 |
transcript.pyannote[1397].start |
9303.58971875 |
transcript.pyannote[1397].end |
9303.65721875 |
transcript.pyannote[1398].speaker |
SPEAKER_14 |
transcript.pyannote[1398].start |
9303.91034375 |
transcript.pyannote[1398].end |
9305.02409375 |
transcript.pyannote[1399].speaker |
SPEAKER_31 |
transcript.pyannote[1399].start |
9306.99846875 |
transcript.pyannote[1399].end |
9307.01534375 |
transcript.pyannote[1400].speaker |
SPEAKER_08 |
transcript.pyannote[1400].start |
9307.63971875 |
transcript.pyannote[1400].end |
9308.68596875 |
transcript.pyannote[1401].speaker |
SPEAKER_08 |
transcript.pyannote[1401].start |
9308.93909375 |
transcript.pyannote[1401].end |
9310.60971875 |
transcript.pyannote[1402].speaker |
SPEAKER_08 |
transcript.pyannote[1402].start |
9310.94721875 |
transcript.pyannote[1402].end |
9313.41096875 |
transcript.pyannote[1403].speaker |
SPEAKER_18 |
transcript.pyannote[1403].start |
9313.47846875 |
transcript.pyannote[1403].end |
9313.86659375 |
transcript.pyannote[1404].speaker |
SPEAKER_08 |
transcript.pyannote[1404].start |
9313.90034375 |
transcript.pyannote[1404].end |
9315.21659375 |
transcript.pyannote[1405].speaker |
SPEAKER_18 |
transcript.pyannote[1405].start |
9315.95909375 |
transcript.pyannote[1405].end |
9318.23721875 |
transcript.pyannote[1406].speaker |
SPEAKER_08 |
transcript.pyannote[1406].start |
9317.61284375 |
transcript.pyannote[1406].end |
9318.18659375 |
transcript.pyannote[1407].speaker |
SPEAKER_08 |
transcript.pyannote[1407].start |
9318.23721875 |
transcript.pyannote[1407].end |
9319.11471875 |
transcript.pyannote[1408].speaker |
SPEAKER_08 |
transcript.pyannote[1408].start |
9320.22846875 |
transcript.pyannote[1408].end |
9320.63346875 |
transcript.pyannote[1409].speaker |
SPEAKER_08 |
transcript.pyannote[1409].start |
9321.15659375 |
transcript.pyannote[1409].end |
9322.62471875 |
transcript.pyannote[1410].speaker |
SPEAKER_08 |
transcript.pyannote[1410].start |
9322.97909375 |
transcript.pyannote[1410].end |
9324.14346875 |
transcript.pyannote[1411].speaker |
SPEAKER_08 |
transcript.pyannote[1411].start |
9325.02096875 |
transcript.pyannote[1411].end |
9325.76346875 |
transcript.pyannote[1412].speaker |
SPEAKER_08 |
transcript.pyannote[1412].start |
9326.10096875 |
transcript.pyannote[1412].end |
9329.15534375 |
transcript.pyannote[1413].speaker |
SPEAKER_08 |
transcript.pyannote[1413].start |
9329.56034375 |
transcript.pyannote[1413].end |
9330.55596875 |
transcript.pyannote[1414].speaker |
SPEAKER_08 |
transcript.pyannote[1414].start |
9331.61909375 |
transcript.pyannote[1414].end |
9332.29409375 |
transcript.pyannote[1415].speaker |
SPEAKER_08 |
transcript.pyannote[1415].start |
9332.78346875 |
transcript.pyannote[1415].end |
9337.76159375 |
transcript.pyannote[1416].speaker |
SPEAKER_08 |
transcript.pyannote[1416].start |
9338.52096875 |
transcript.pyannote[1416].end |
9339.82034375 |
transcript.pyannote[1417].speaker |
SPEAKER_08 |
transcript.pyannote[1417].start |
9340.36034375 |
transcript.pyannote[1417].end |
9341.40659375 |
transcript.pyannote[1418].speaker |
SPEAKER_27 |
transcript.pyannote[1418].start |
9341.40659375 |
transcript.pyannote[1418].end |
9378.07596875 |
transcript.pyannote[1419].speaker |
SPEAKER_27 |
transcript.pyannote[1419].start |
9378.71721875 |
transcript.pyannote[1419].end |
9378.73409375 |
transcript.pyannote[1420].speaker |
SPEAKER_08 |
transcript.pyannote[1420].start |
9378.73409375 |
transcript.pyannote[1420].end |
9378.78471875 |
transcript.pyannote[1421].speaker |
SPEAKER_27 |
transcript.pyannote[1421].start |
9378.78471875 |
transcript.pyannote[1421].end |
9378.98721875 |
transcript.pyannote[1422].speaker |
SPEAKER_08 |
transcript.pyannote[1422].start |
9379.59471875 |
transcript.pyannote[1422].end |
9381.41721875 |
transcript.pyannote[1423].speaker |
SPEAKER_08 |
transcript.pyannote[1423].start |
9381.53534375 |
transcript.pyannote[1423].end |
9384.23534375 |
transcript.pyannote[1424].speaker |
SPEAKER_08 |
transcript.pyannote[1424].start |
9384.82596875 |
transcript.pyannote[1424].end |
9385.82159375 |
transcript.pyannote[1425].speaker |
SPEAKER_08 |
transcript.pyannote[1425].start |
9386.93534375 |
transcript.pyannote[1425].end |
9389.97284375 |
transcript.pyannote[1426].speaker |
SPEAKER_08 |
transcript.pyannote[1426].start |
9390.64784375 |
transcript.pyannote[1426].end |
9392.79096875 |
transcript.pyannote[1427].speaker |
SPEAKER_08 |
transcript.pyannote[1427].start |
9393.26346875 |
transcript.pyannote[1427].end |
9395.05221875 |
transcript.pyannote[1428].speaker |
SPEAKER_08 |
transcript.pyannote[1428].start |
9395.49096875 |
transcript.pyannote[1428].end |
9397.44846875 |
transcript.pyannote[1429].speaker |
SPEAKER_08 |
transcript.pyannote[1429].start |
9397.90409375 |
transcript.pyannote[1429].end |
9401.02596875 |
transcript.pyannote[1430].speaker |
SPEAKER_08 |
transcript.pyannote[1430].start |
9401.59971875 |
transcript.pyannote[1430].end |
9403.60784375 |
transcript.pyannote[1431].speaker |
SPEAKER_08 |
transcript.pyannote[1431].start |
9404.33346875 |
transcript.pyannote[1431].end |
9406.45971875 |
transcript.pyannote[1432].speaker |
SPEAKER_08 |
transcript.pyannote[1432].start |
9406.62846875 |
transcript.pyannote[1432].end |
9411.92721875 |
transcript.pyannote[1433].speaker |
SPEAKER_08 |
transcript.pyannote[1433].start |
9412.50096875 |
transcript.pyannote[1433].end |
9415.65659375 |
transcript.pyannote[1434].speaker |
SPEAKER_08 |
transcript.pyannote[1434].start |
9416.02784375 |
transcript.pyannote[1434].end |
9417.31034375 |
transcript.pyannote[1435].speaker |
SPEAKER_08 |
transcript.pyannote[1435].start |
9418.93034375 |
transcript.pyannote[1435].end |
9419.09909375 |
transcript.pyannote[1436].speaker |
SPEAKER_08 |
transcript.pyannote[1436].start |
9419.11596875 |
transcript.pyannote[1436].end |
9419.13284375 |
transcript.pyannote[1437].speaker |
SPEAKER_08 |
transcript.pyannote[1437].start |
9419.48721875 |
transcript.pyannote[1437].end |
9422.71034375 |
transcript.pyannote[1438].speaker |
SPEAKER_08 |
transcript.pyannote[1438].start |
9423.35159375 |
transcript.pyannote[1438].end |
9424.51596875 |
transcript.pyannote[1439].speaker |
SPEAKER_08 |
transcript.pyannote[1439].start |
9424.95471875 |
transcript.pyannote[1439].end |
9426.69284375 |
transcript.pyannote[1440].speaker |
SPEAKER_08 |
transcript.pyannote[1440].start |
9426.99659375 |
transcript.pyannote[1440].end |
9428.05971875 |
transcript.pyannote[1441].speaker |
SPEAKER_08 |
transcript.pyannote[1441].start |
9428.70096875 |
transcript.pyannote[1441].end |
9432.02534375 |
transcript.pyannote[1442].speaker |
SPEAKER_08 |
transcript.pyannote[1442].start |
9432.44721875 |
transcript.pyannote[1442].end |
9434.74221875 |
transcript.pyannote[1443].speaker |
SPEAKER_08 |
transcript.pyannote[1443].start |
9435.46784375 |
transcript.pyannote[1443].end |
9436.53096875 |
transcript.pyannote[1444].speaker |
SPEAKER_08 |
transcript.pyannote[1444].start |
9437.07096875 |
transcript.pyannote[1444].end |
9439.45034375 |
transcript.pyannote[1445].speaker |
SPEAKER_08 |
transcript.pyannote[1445].start |
9439.83846875 |
transcript.pyannote[1445].end |
9445.12034375 |
transcript.pyannote[1446].speaker |
SPEAKER_08 |
transcript.pyannote[1446].start |
9445.57596875 |
transcript.pyannote[1446].end |
9447.51659375 |
transcript.pyannote[1447].speaker |
SPEAKER_08 |
transcript.pyannote[1447].start |
9448.24221875 |
transcript.pyannote[1447].end |
9449.71034375 |
transcript.pyannote[1448].speaker |
SPEAKER_08 |
transcript.pyannote[1448].start |
9450.21659375 |
transcript.pyannote[1448].end |
9450.57096875 |
transcript.pyannote[1449].speaker |
SPEAKER_08 |
transcript.pyannote[1449].start |
9450.77346875 |
transcript.pyannote[1449].end |
9451.95471875 |
transcript.pyannote[1450].speaker |
SPEAKER_08 |
transcript.pyannote[1450].start |
9452.27534375 |
transcript.pyannote[1450].end |
9454.70534375 |
transcript.pyannote[1451].speaker |
SPEAKER_31 |
transcript.pyannote[1451].start |
9454.75596875 |
transcript.pyannote[1451].end |
9454.90784375 |
transcript.pyannote[1452].speaker |
SPEAKER_08 |
transcript.pyannote[1452].start |
9455.36346875 |
transcript.pyannote[1452].end |
9456.08909375 |
transcript.pyannote[1453].speaker |
SPEAKER_08 |
transcript.pyannote[1453].start |
9456.66284375 |
transcript.pyannote[1453].end |
9458.48534375 |
transcript.pyannote[1454].speaker |
SPEAKER_08 |
transcript.pyannote[1454].start |
9458.65409375 |
transcript.pyannote[1454].end |
9460.67909375 |
transcript.pyannote[1455].speaker |
SPEAKER_08 |
transcript.pyannote[1455].start |
9460.91534375 |
transcript.pyannote[1455].end |
9462.14721875 |
transcript.pyannote[1456].speaker |
SPEAKER_08 |
transcript.pyannote[1456].start |
9462.33284375 |
transcript.pyannote[1456].end |
9464.61096875 |
transcript.pyannote[1457].speaker |
SPEAKER_31 |
transcript.pyannote[1457].start |
9464.91471875 |
transcript.pyannote[1457].end |
9465.47159375 |
transcript.pyannote[1458].speaker |
SPEAKER_08 |
transcript.pyannote[1458].start |
9465.47159375 |
transcript.pyannote[1458].end |
9466.95659375 |
transcript.pyannote[1459].speaker |
SPEAKER_08 |
transcript.pyannote[1459].start |
9467.31096875 |
transcript.pyannote[1459].end |
9468.77909375 |
transcript.pyannote[1460].speaker |
SPEAKER_08 |
transcript.pyannote[1460].start |
9470.11221875 |
transcript.pyannote[1460].end |
9470.92221875 |
transcript.pyannote[1461].speaker |
SPEAKER_08 |
transcript.pyannote[1461].start |
9471.44534375 |
transcript.pyannote[1461].end |
9472.17096875 |
transcript.pyannote[1462].speaker |
SPEAKER_08 |
transcript.pyannote[1462].start |
9473.74034375 |
transcript.pyannote[1462].end |
9475.29284375 |
transcript.pyannote[1463].speaker |
SPEAKER_08 |
transcript.pyannote[1463].start |
9475.73159375 |
transcript.pyannote[1463].end |
9478.60034375 |
transcript.pyannote[1464].speaker |
SPEAKER_08 |
transcript.pyannote[1464].start |
9479.61284375 |
transcript.pyannote[1464].end |
9482.14409375 |
transcript.pyannote[1465].speaker |
SPEAKER_08 |
transcript.pyannote[1465].start |
9483.02159375 |
transcript.pyannote[1465].end |
9487.51034375 |
transcript.pyannote[1466].speaker |
SPEAKER_30 |
transcript.pyannote[1466].start |
9486.48096875 |
transcript.pyannote[1466].end |
9488.16846875 |
transcript.pyannote[1467].speaker |
SPEAKER_08 |
transcript.pyannote[1467].start |
9487.94909375 |
transcript.pyannote[1467].end |
9496.16721875 |
transcript.pyannote[1468].speaker |
SPEAKER_08 |
transcript.pyannote[1468].start |
9496.79159375 |
transcript.pyannote[1468].end |
9497.16284375 |
transcript.pyannote[1469].speaker |
SPEAKER_08 |
transcript.pyannote[1469].start |
9497.44971875 |
transcript.pyannote[1469].end |
9498.14159375 |
transcript.pyannote[1470].speaker |
SPEAKER_08 |
transcript.pyannote[1470].start |
9498.59721875 |
transcript.pyannote[1470].end |
9501.11159375 |
transcript.pyannote[1471].speaker |
SPEAKER_08 |
transcript.pyannote[1471].start |
9501.24659375 |
transcript.pyannote[1471].end |
9503.82846875 |
transcript.pyannote[1472].speaker |
SPEAKER_08 |
transcript.pyannote[1472].start |
9503.92971875 |
transcript.pyannote[1472].end |
9504.21659375 |
transcript.pyannote[1473].speaker |
SPEAKER_31 |
transcript.pyannote[1473].start |
9504.21659375 |
transcript.pyannote[1473].end |
9504.28409375 |
transcript.pyannote[1474].speaker |
SPEAKER_08 |
transcript.pyannote[1474].start |
9504.28409375 |
transcript.pyannote[1474].end |
9504.30096875 |
transcript.pyannote[1475].speaker |
SPEAKER_08 |
transcript.pyannote[1475].start |
9504.53721875 |
transcript.pyannote[1475].end |
9512.89034375 |
transcript.pyannote[1476].speaker |
SPEAKER_08 |
transcript.pyannote[1476].start |
9513.09284375 |
transcript.pyannote[1476].end |
9524.97284375 |
transcript.pyannote[1477].speaker |
SPEAKER_30 |
transcript.pyannote[1477].start |
9517.02471875 |
transcript.pyannote[1477].end |
9517.26096875 |
transcript.pyannote[1478].speaker |
SPEAKER_30 |
transcript.pyannote[1478].start |
9517.64909375 |
transcript.pyannote[1478].end |
9517.68284375 |
transcript.pyannote[1479].speaker |
SPEAKER_04 |
transcript.pyannote[1479].start |
9517.68284375 |
transcript.pyannote[1479].end |
9518.20596875 |
transcript.pyannote[1480].speaker |
SPEAKER_30 |
transcript.pyannote[1480].start |
9518.20596875 |
transcript.pyannote[1480].end |
9518.32409375 |
transcript.pyannote[1481].speaker |
SPEAKER_31 |
transcript.pyannote[1481].start |
9520.29846875 |
transcript.pyannote[1481].end |
9520.77096875 |
transcript.pyannote[1482].speaker |
SPEAKER_04 |
transcript.pyannote[1482].start |
9521.73284375 |
transcript.pyannote[1482].end |
9521.74971875 |
transcript.pyannote[1483].speaker |
SPEAKER_31 |
transcript.pyannote[1483].start |
9521.74971875 |
transcript.pyannote[1483].end |
9522.03659375 |
transcript.pyannote[1484].speaker |
SPEAKER_04 |
transcript.pyannote[1484].start |
9522.03659375 |
transcript.pyannote[1484].end |
9522.57659375 |
transcript.pyannote[1485].speaker |
SPEAKER_04 |
transcript.pyannote[1485].start |
9522.88034375 |
transcript.pyannote[1485].end |
9523.16721875 |
transcript.pyannote[1486].speaker |
SPEAKER_31 |
transcript.pyannote[1486].start |
9523.16721875 |
transcript.pyannote[1486].end |
9523.18409375 |
transcript.pyannote[1487].speaker |
SPEAKER_10 |
transcript.pyannote[1487].start |
9523.18409375 |
transcript.pyannote[1487].end |
9523.20096875 |
transcript.pyannote[1488].speaker |
SPEAKER_04 |
transcript.pyannote[1488].start |
9523.20096875 |
transcript.pyannote[1488].end |
9525.36096875 |
transcript.pyannote[1489].speaker |
SPEAKER_10 |
transcript.pyannote[1489].start |
9524.97284375 |
transcript.pyannote[1489].end |
9525.19221875 |
transcript.pyannote[1490].speaker |
SPEAKER_08 |
transcript.pyannote[1490].start |
9525.19221875 |
transcript.pyannote[1490].end |
9525.25971875 |
transcript.pyannote[1491].speaker |
SPEAKER_10 |
transcript.pyannote[1491].start |
9525.25971875 |
transcript.pyannote[1491].end |
9525.29346875 |
transcript.pyannote[1492].speaker |
SPEAKER_08 |
transcript.pyannote[1492].start |
9525.29346875 |
transcript.pyannote[1492].end |
9525.37784375 |
transcript.pyannote[1493].speaker |
SPEAKER_10 |
transcript.pyannote[1493].start |
9525.36096875 |
transcript.pyannote[1493].end |
9525.96846875 |
transcript.pyannote[1494].speaker |
SPEAKER_31 |
transcript.pyannote[1494].start |
9525.37784375 |
transcript.pyannote[1494].end |
9525.39471875 |
transcript.pyannote[1495].speaker |
SPEAKER_31 |
transcript.pyannote[1495].start |
9525.96846875 |
transcript.pyannote[1495].end |
9526.00221875 |
transcript.pyannote[1496].speaker |
SPEAKER_04 |
transcript.pyannote[1496].start |
9526.45784375 |
transcript.pyannote[1496].end |
9530.62596875 |
transcript.pyannote[1497].speaker |
SPEAKER_14 |
transcript.pyannote[1497].start |
9545.71221875 |
transcript.pyannote[1497].end |
9551.14596875 |
transcript.pyannote[1498].speaker |
SPEAKER_14 |
transcript.pyannote[1498].start |
9551.83784375 |
transcript.pyannote[1498].end |
9552.41159375 |
transcript.pyannote[1499].speaker |
SPEAKER_14 |
transcript.pyannote[1499].start |
9558.73971875 |
transcript.pyannote[1499].end |
9560.44409375 |
transcript.pyannote[1500].speaker |
SPEAKER_14 |
transcript.pyannote[1500].start |
9560.56221875 |
transcript.pyannote[1500].end |
9561.23721875 |
transcript.pyannote[1501].speaker |
SPEAKER_14 |
transcript.pyannote[1501].start |
9561.28784375 |
transcript.pyannote[1501].end |
9562.85721875 |
transcript.pyannote[1502].speaker |
SPEAKER_14 |
transcript.pyannote[1502].start |
9563.34659375 |
transcript.pyannote[1502].end |
9564.73034375 |
transcript.pyannote[1503].speaker |
SPEAKER_14 |
transcript.pyannote[1503].start |
9565.18596875 |
transcript.pyannote[1503].end |
9566.01284375 |
transcript.pyannote[1504].speaker |
SPEAKER_14 |
transcript.pyannote[1504].start |
9566.43471875 |
transcript.pyannote[1504].end |
9583.37721875 |
transcript.pyannote[1505].speaker |
SPEAKER_14 |
transcript.pyannote[1505].start |
9584.27159375 |
transcript.pyannote[1505].end |
9590.92034375 |
transcript.pyannote[1506].speaker |
SPEAKER_14 |
transcript.pyannote[1506].start |
9591.12284375 |
transcript.pyannote[1506].end |
9596.28659375 |
transcript.pyannote[1507].speaker |
SPEAKER_18 |
transcript.pyannote[1507].start |
9598.31159375 |
transcript.pyannote[1507].end |
9599.57721875 |
transcript.pyannote[1508].speaker |
SPEAKER_14 |
transcript.pyannote[1508].start |
9599.12159375 |
transcript.pyannote[1508].end |
9600.15096875 |
transcript.pyannote[1509].speaker |
SPEAKER_18 |
transcript.pyannote[1509].start |
9600.15096875 |
transcript.pyannote[1509].end |
9600.21846875 |
transcript.pyannote[1510].speaker |
SPEAKER_18 |
transcript.pyannote[1510].start |
9600.40409375 |
transcript.pyannote[1510].end |
9600.74159375 |
transcript.pyannote[1511].speaker |
SPEAKER_09 |
transcript.pyannote[1511].start |
9602.61471875 |
transcript.pyannote[1511].end |
9607.40721875 |
transcript.pyannote[1512].speaker |
SPEAKER_14 |
transcript.pyannote[1512].start |
9604.70721875 |
transcript.pyannote[1512].end |
9607.44096875 |
transcript.pyannote[1513].speaker |
SPEAKER_09 |
transcript.pyannote[1513].start |
9607.44096875 |
transcript.pyannote[1513].end |
9607.47471875 |
transcript.pyannote[1514].speaker |
SPEAKER_31 |
transcript.pyannote[1514].start |
9607.47471875 |
transcript.pyannote[1514].end |
9607.54221875 |
transcript.pyannote[1515].speaker |
SPEAKER_14 |
transcript.pyannote[1515].start |
9607.54221875 |
transcript.pyannote[1515].end |
9629.37846875 |
transcript.pyannote[1516].speaker |
SPEAKER_18 |
transcript.pyannote[1516].start |
9629.37846875 |
transcript.pyannote[1516].end |
9631.90971875 |
transcript.pyannote[1517].speaker |
SPEAKER_14 |
transcript.pyannote[1517].start |
9631.60596875 |
transcript.pyannote[1517].end |
9664.02284375 |
transcript.pyannote[1518].speaker |
SPEAKER_14 |
transcript.pyannote[1518].start |
9664.17471875 |
transcript.pyannote[1518].end |
9681.87659375 |
transcript.pyannote[1519].speaker |
SPEAKER_14 |
transcript.pyannote[1519].start |
9681.96096875 |
transcript.pyannote[1519].end |
9682.02846875 |
transcript.pyannote[1520].speaker |
SPEAKER_14 |
transcript.pyannote[1520].start |
9682.14659375 |
transcript.pyannote[1520].end |
9705.40034375 |
transcript.pyannote[1521].speaker |
SPEAKER_14 |
transcript.pyannote[1521].start |
9705.73784375 |
transcript.pyannote[1521].end |
9708.72471875 |
transcript.pyannote[1522].speaker |
SPEAKER_14 |
transcript.pyannote[1522].start |
9708.89346875 |
transcript.pyannote[1522].end |
9710.95221875 |
transcript.pyannote[1523].speaker |
SPEAKER_09 |
transcript.pyannote[1523].start |
9713.06159375 |
transcript.pyannote[1523].end |
9714.10784375 |
transcript.pyannote[1524].speaker |
SPEAKER_09 |
transcript.pyannote[1524].start |
9714.64784375 |
transcript.pyannote[1524].end |
9721.02659375 |
transcript.pyannote[1525].speaker |
SPEAKER_09 |
transcript.pyannote[1525].start |
9721.51596875 |
transcript.pyannote[1525].end |
9726.71346875 |
transcript.pyannote[1526].speaker |
SPEAKER_09 |
transcript.pyannote[1526].start |
9726.74721875 |
transcript.pyannote[1526].end |
9727.15221875 |
transcript.pyannote[1527].speaker |
SPEAKER_14 |
transcript.pyannote[1527].start |
9727.43909375 |
transcript.pyannote[1527].end |
9727.45596875 |
transcript.pyannote[1528].speaker |
SPEAKER_09 |
transcript.pyannote[1528].start |
9727.45596875 |
transcript.pyannote[1528].end |
9731.48909375 |
transcript.pyannote[1529].speaker |
SPEAKER_14 |
transcript.pyannote[1529].start |
9727.48971875 |
transcript.pyannote[1529].end |
9727.75971875 |
transcript.pyannote[1530].speaker |
SPEAKER_09 |
transcript.pyannote[1530].start |
9731.72534375 |
transcript.pyannote[1530].end |
9742.91346875 |
transcript.pyannote[1531].speaker |
SPEAKER_09 |
transcript.pyannote[1531].start |
9743.43659375 |
transcript.pyannote[1531].end |
9752.09346875 |
transcript.pyannote[1532].speaker |
SPEAKER_14 |
transcript.pyannote[1532].start |
9750.43971875 |
transcript.pyannote[1532].end |
9751.89096875 |
transcript.pyannote[1533].speaker |
SPEAKER_14 |
transcript.pyannote[1533].start |
9752.09346875 |
transcript.pyannote[1533].end |
9758.48909375 |
transcript.pyannote[1534].speaker |
SPEAKER_09 |
transcript.pyannote[1534].start |
9752.58284375 |
transcript.pyannote[1534].end |
9754.48971875 |
transcript.pyannote[1535].speaker |
SPEAKER_09 |
transcript.pyannote[1535].start |
9755.82284375 |
transcript.pyannote[1535].end |
9756.37971875 |
transcript.pyannote[1536].speaker |
SPEAKER_09 |
transcript.pyannote[1536].start |
9757.22346875 |
transcript.pyannote[1536].end |
9762.65721875 |
transcript.pyannote[1537].speaker |
SPEAKER_14 |
transcript.pyannote[1537].start |
9758.55659375 |
transcript.pyannote[1537].end |
9759.21471875 |
transcript.pyannote[1538].speaker |
SPEAKER_14 |
transcript.pyannote[1538].start |
9762.65721875 |
transcript.pyannote[1538].end |
9762.67409375 |
transcript.pyannote[1539].speaker |
SPEAKER_09 |
transcript.pyannote[1539].start |
9762.67409375 |
transcript.pyannote[1539].end |
9762.69096875 |
transcript.pyannote[1540].speaker |
SPEAKER_14 |
transcript.pyannote[1540].start |
9762.69096875 |
transcript.pyannote[1540].end |
9772.05659375 |
transcript.pyannote[1541].speaker |
SPEAKER_14 |
transcript.pyannote[1541].start |
9772.98471875 |
transcript.pyannote[1541].end |
9776.83221875 |
transcript.pyannote[1542].speaker |
SPEAKER_14 |
transcript.pyannote[1542].start |
9777.05159375 |
transcript.pyannote[1542].end |
9781.10159375 |
transcript.pyannote[1543].speaker |
SPEAKER_14 |
transcript.pyannote[1543].start |
9781.32096875 |
transcript.pyannote[1543].end |
9786.87284375 |
transcript.pyannote[1544].speaker |
SPEAKER_14 |
transcript.pyannote[1544].start |
9787.36221875 |
transcript.pyannote[1544].end |
9792.89721875 |
transcript.pyannote[1545].speaker |
SPEAKER_14 |
transcript.pyannote[1545].start |
9793.55534375 |
transcript.pyannote[1545].end |
9797.14971875 |
transcript.pyannote[1546].speaker |
SPEAKER_14 |
transcript.pyannote[1546].start |
9797.70659375 |
transcript.pyannote[1546].end |
9807.79784375 |
transcript.pyannote[1547].speaker |
SPEAKER_14 |
transcript.pyannote[1547].start |
9808.64159375 |
transcript.pyannote[1547].end |
9814.69971875 |
transcript.pyannote[1548].speaker |
SPEAKER_14 |
transcript.pyannote[1548].start |
9814.96971875 |
transcript.pyannote[1548].end |
9826.90034375 |
transcript.pyannote[1549].speaker |
SPEAKER_14 |
transcript.pyannote[1549].start |
9827.38971875 |
transcript.pyannote[1549].end |
9838.71284375 |
transcript.pyannote[1550].speaker |
SPEAKER_14 |
transcript.pyannote[1550].start |
9838.94909375 |
transcript.pyannote[1550].end |
9844.80471875 |
transcript.pyannote[1551].speaker |
SPEAKER_14 |
transcript.pyannote[1551].start |
9845.24346875 |
transcript.pyannote[1551].end |
9858.42284375 |
transcript.pyannote[1552].speaker |
SPEAKER_14 |
transcript.pyannote[1552].start |
9858.62534375 |
transcript.pyannote[1552].end |
9861.03846875 |
transcript.pyannote[1553].speaker |
SPEAKER_18 |
transcript.pyannote[1553].start |
9861.03846875 |
transcript.pyannote[1553].end |
9896.20596875 |
transcript.pyannote[1554].speaker |
SPEAKER_14 |
transcript.pyannote[1554].start |
9896.20596875 |
transcript.pyannote[1554].end |
9908.62596875 |
transcript.pyannote[1555].speaker |
SPEAKER_14 |
transcript.pyannote[1555].start |
9909.19971875 |
transcript.pyannote[1555].end |
9925.53471875 |
transcript.pyannote[1556].speaker |
SPEAKER_14 |
transcript.pyannote[1556].start |
9925.63596875 |
transcript.pyannote[1556].end |
9932.28471875 |
transcript.pyannote[1557].speaker |
SPEAKER_14 |
transcript.pyannote[1557].start |
9933.24659375 |
transcript.pyannote[1557].end |
9943.03409375 |
transcript.pyannote[1558].speaker |
SPEAKER_14 |
transcript.pyannote[1558].start |
9943.15221875 |
transcript.pyannote[1558].end |
9944.67096875 |
transcript.pyannote[1559].speaker |
SPEAKER_14 |
transcript.pyannote[1559].start |
9944.73846875 |
transcript.pyannote[1559].end |
9948.16409375 |
transcript.pyannote[1560].speaker |
SPEAKER_14 |
transcript.pyannote[1560].start |
9948.45096875 |
transcript.pyannote[1560].end |
9961.74846875 |
transcript.pyannote[1561].speaker |
SPEAKER_14 |
transcript.pyannote[1561].start |
9961.91721875 |
transcript.pyannote[1561].end |
9968.12721875 |
transcript.pyannote[1562].speaker |
SPEAKER_14 |
transcript.pyannote[1562].start |
9968.41409375 |
transcript.pyannote[1562].end |
9978.72471875 |
transcript.pyannote[1563].speaker |
SPEAKER_14 |
transcript.pyannote[1563].start |
9978.97784375 |
transcript.pyannote[1563].end |
9992.95034375 |
transcript.pyannote[1564].speaker |
SPEAKER_18 |
transcript.pyannote[1564].start |
9992.95034375 |
transcript.pyannote[1564].end |
10005.96096875 |
transcript.pyannote[1565].speaker |
SPEAKER_14 |
transcript.pyannote[1565].start |
9997.79346875 |
transcript.pyannote[1565].end |
9999.97034375 |
transcript.pyannote[1566].speaker |
SPEAKER_14 |
transcript.pyannote[1566].start |
10001.89409375 |
transcript.pyannote[1566].end |
10002.23159375 |
transcript.pyannote[1567].speaker |
SPEAKER_14 |
transcript.pyannote[1567].start |
10002.99096875 |
transcript.pyannote[1567].end |
10003.24409375 |
transcript.pyannote[1568].speaker |
SPEAKER_14 |
transcript.pyannote[1568].start |
10005.20159375 |
transcript.pyannote[1568].end |
10006.97346875 |
transcript.pyannote[1569].speaker |
SPEAKER_14 |
transcript.pyannote[1569].start |
10007.42909375 |
transcript.pyannote[1569].end |
10009.09971875 |
transcript.pyannote[1570].speaker |
SPEAKER_18 |
transcript.pyannote[1570].start |
10008.64409375 |
transcript.pyannote[1570].end |
10009.35284375 |
transcript.pyannote[1571].speaker |
SPEAKER_14 |
transcript.pyannote[1571].start |
10009.11659375 |
transcript.pyannote[1571].end |
10016.25471875 |
transcript.pyannote[1572].speaker |
SPEAKER_14 |
transcript.pyannote[1572].start |
10016.38971875 |
transcript.pyannote[1572].end |
10032.48846875 |
transcript.pyannote[1573].speaker |
SPEAKER_18 |
transcript.pyannote[1573].start |
10023.05534375 |
transcript.pyannote[1573].end |
10023.94971875 |
transcript.pyannote[1574].speaker |
SPEAKER_30 |
transcript.pyannote[1574].start |
10023.94971875 |
transcript.pyannote[1574].end |
10023.96659375 |
transcript.pyannote[1575].speaker |
SPEAKER_18 |
transcript.pyannote[1575].start |
10023.96659375 |
transcript.pyannote[1575].end |
10023.98346875 |
transcript.pyannote[1576].speaker |
SPEAKER_18 |
transcript.pyannote[1576].start |
10027.02096875 |
transcript.pyannote[1576].end |
10034.90159375 |
transcript.pyannote[1577].speaker |
SPEAKER_14 |
transcript.pyannote[1577].start |
10033.48409375 |
transcript.pyannote[1577].end |
10045.71846875 |
transcript.pyannote[1578].speaker |
SPEAKER_14 |
transcript.pyannote[1578].start |
10046.19096875 |
transcript.pyannote[1578].end |
10047.77721875 |
transcript.pyannote[1579].speaker |
SPEAKER_14 |
transcript.pyannote[1579].start |
10048.11471875 |
transcript.pyannote[1579].end |
10060.16346875 |
transcript.pyannote[1580].speaker |
SPEAKER_14 |
transcript.pyannote[1580].start |
10060.45034375 |
transcript.pyannote[1580].end |
10077.05534375 |
transcript.pyannote[1581].speaker |
SPEAKER_10 |
transcript.pyannote[1581].start |
10060.97346875 |
transcript.pyannote[1581].end |
10061.02409375 |
transcript.pyannote[1582].speaker |
SPEAKER_31 |
transcript.pyannote[1582].start |
10061.02409375 |
transcript.pyannote[1582].end |
10061.15909375 |
transcript.pyannote[1583].speaker |
SPEAKER_10 |
transcript.pyannote[1583].start |
10061.15909375 |
transcript.pyannote[1583].end |
10061.42909375 |
transcript.pyannote[1584].speaker |
SPEAKER_14 |
transcript.pyannote[1584].start |
10077.83159375 |
transcript.pyannote[1584].end |
10081.44284375 |
transcript.pyannote[1585].speaker |
SPEAKER_14 |
transcript.pyannote[1585].start |
10081.93221875 |
transcript.pyannote[1585].end |
10082.53971875 |
transcript.pyannote[1586].speaker |
SPEAKER_14 |
transcript.pyannote[1586].start |
10082.97846875 |
transcript.pyannote[1586].end |
10084.93596875 |
transcript.pyannote[1587].speaker |
SPEAKER_14 |
transcript.pyannote[1587].start |
10085.30721875 |
transcript.pyannote[1587].end |
10090.74096875 |
transcript.pyannote[1588].speaker |
SPEAKER_14 |
transcript.pyannote[1588].start |
10090.89284375 |
transcript.pyannote[1588].end |
10094.36909375 |
transcript.pyannote[1589].speaker |
SPEAKER_14 |
transcript.pyannote[1589].start |
10094.72346875 |
transcript.pyannote[1589].end |
10102.68846875 |
transcript.pyannote[1590].speaker |
SPEAKER_14 |
transcript.pyannote[1590].start |
10104.03846875 |
transcript.pyannote[1590].end |
10108.57784375 |
transcript.pyannote[1591].speaker |
SPEAKER_42 |
transcript.pyannote[1591].start |
10109.16846875 |
transcript.pyannote[1591].end |
10110.24846875 |
transcript.pyannote[1592].speaker |
SPEAKER_14 |
transcript.pyannote[1592].start |
10110.90659375 |
transcript.pyannote[1592].end |
10111.36221875 |
transcript.pyannote[1593].speaker |
SPEAKER_42 |
transcript.pyannote[1593].start |
10111.75034375 |
transcript.pyannote[1593].end |
10113.37034375 |
transcript.pyannote[1594].speaker |
SPEAKER_14 |
transcript.pyannote[1594].start |
10112.42534375 |
transcript.pyannote[1594].end |
10113.15096875 |
transcript.pyannote[1595].speaker |
SPEAKER_14 |
transcript.pyannote[1595].start |
10113.31971875 |
transcript.pyannote[1595].end |
10119.76596875 |
transcript.pyannote[1596].speaker |
SPEAKER_42 |
transcript.pyannote[1596].start |
10120.06971875 |
transcript.pyannote[1596].end |
10120.44096875 |
transcript.pyannote[1597].speaker |
SPEAKER_14 |
transcript.pyannote[1597].start |
10120.66034375 |
transcript.pyannote[1597].end |
10128.57471875 |
transcript.pyannote[1598].speaker |
SPEAKER_14 |
transcript.pyannote[1598].start |
10129.28346875 |
transcript.pyannote[1598].end |
10129.89096875 |
transcript.pyannote[1599].speaker |
SPEAKER_14 |
transcript.pyannote[1599].start |
10130.29596875 |
transcript.pyannote[1599].end |
10140.35346875 |
transcript.pyannote[1600].speaker |
SPEAKER_14 |
transcript.pyannote[1600].start |
10140.60659375 |
transcript.pyannote[1600].end |
10142.95221875 |
transcript.pyannote[1601].speaker |
SPEAKER_14 |
transcript.pyannote[1601].start |
10143.23909375 |
transcript.pyannote[1601].end |
10147.23846875 |
transcript.pyannote[1602].speaker |
SPEAKER_42 |
transcript.pyannote[1602].start |
10148.23409375 |
transcript.pyannote[1602].end |
10149.34784375 |
transcript.pyannote[1603].speaker |
SPEAKER_42 |
transcript.pyannote[1603].start |
10150.93409375 |
transcript.pyannote[1603].end |
10151.03534375 |
transcript.pyannote[1604].speaker |
SPEAKER_18 |
transcript.pyannote[1604].start |
10151.03534375 |
transcript.pyannote[1604].end |
10151.23784375 |
transcript.pyannote[1605].speaker |
SPEAKER_42 |
transcript.pyannote[1605].start |
10151.23784375 |
transcript.pyannote[1605].end |
10151.30534375 |
transcript.pyannote[1606].speaker |
SPEAKER_18 |
transcript.pyannote[1606].start |
10151.30534375 |
transcript.pyannote[1606].end |
10151.74409375 |
transcript.pyannote[1607].speaker |
SPEAKER_18 |
transcript.pyannote[1607].start |
10152.43596875 |
transcript.pyannote[1607].end |
10153.07721875 |
transcript.pyannote[1608].speaker |
SPEAKER_18 |
transcript.pyannote[1608].start |
10153.87034375 |
transcript.pyannote[1608].end |
10166.88096875 |
transcript.pyannote[1609].speaker |
SPEAKER_14 |
transcript.pyannote[1609].start |
10159.75971875 |
transcript.pyannote[1609].end |
10160.09721875 |
transcript.pyannote[1610].speaker |
SPEAKER_31 |
transcript.pyannote[1610].start |
10162.40909375 |
transcript.pyannote[1610].end |
10162.42596875 |
transcript.pyannote[1611].speaker |
SPEAKER_14 |
transcript.pyannote[1611].start |
10162.42596875 |
transcript.pyannote[1611].end |
10162.72971875 |
transcript.pyannote[1612].speaker |
SPEAKER_14 |
transcript.pyannote[1612].start |
10166.22284375 |
transcript.pyannote[1612].end |
10169.31096875 |
transcript.pyannote[1613].speaker |
SPEAKER_18 |
transcript.pyannote[1613].start |
10169.31096875 |
transcript.pyannote[1613].end |
10169.56409375 |
transcript.pyannote[1614].speaker |
SPEAKER_14 |
transcript.pyannote[1614].start |
10169.56409375 |
transcript.pyannote[1614].end |
10169.83409375 |
transcript.pyannote[1615].speaker |
SPEAKER_18 |
transcript.pyannote[1615].start |
10169.83409375 |
transcript.pyannote[1615].end |
10169.95221875 |
transcript.pyannote[1616].speaker |
SPEAKER_14 |
transcript.pyannote[1616].start |
10169.95221875 |
transcript.pyannote[1616].end |
10171.75784375 |
transcript.pyannote[1617].speaker |
SPEAKER_42 |
transcript.pyannote[1617].start |
10172.31471875 |
transcript.pyannote[1617].end |
10175.87534375 |
transcript.pyannote[1618].speaker |
SPEAKER_14 |
transcript.pyannote[1618].start |
10177.59659375 |
transcript.pyannote[1618].end |
10191.14721875 |
transcript.pyannote[1619].speaker |
SPEAKER_14 |
transcript.pyannote[1619].start |
10191.61971875 |
transcript.pyannote[1619].end |
10193.10471875 |
transcript.pyannote[1620].speaker |
SPEAKER_14 |
transcript.pyannote[1620].start |
10193.40846875 |
transcript.pyannote[1620].end |
10197.69471875 |
transcript.pyannote[1621].speaker |
SPEAKER_14 |
transcript.pyannote[1621].start |
10197.72846875 |
transcript.pyannote[1621].end |
10212.96659375 |
transcript.pyannote[1622].speaker |
SPEAKER_18 |
transcript.pyannote[1622].start |
10212.24096875 |
transcript.pyannote[1622].end |
10214.08034375 |
transcript.pyannote[1623].speaker |
SPEAKER_04 |
transcript.pyannote[1623].start |
10217.21909375 |
transcript.pyannote[1623].end |
10218.70409375 |
transcript.pyannote[1624].speaker |
SPEAKER_04 |
transcript.pyannote[1624].start |
10219.32846875 |
transcript.pyannote[1624].end |
10221.84284375 |
transcript.pyannote[1625].speaker |
SPEAKER_34 |
transcript.pyannote[1625].start |
10227.42846875 |
transcript.pyannote[1625].end |
10230.14534375 |
transcript.pyannote[1626].speaker |
SPEAKER_34 |
transcript.pyannote[1626].start |
10230.17909375 |
transcript.pyannote[1626].end |
10230.26346875 |
transcript.pyannote[1627].speaker |
SPEAKER_04 |
transcript.pyannote[1627].start |
10230.26346875 |
transcript.pyannote[1627].end |
10230.68534375 |
transcript.pyannote[1628].speaker |
SPEAKER_34 |
transcript.pyannote[1628].start |
10232.03534375 |
transcript.pyannote[1628].end |
10233.25034375 |
transcript.pyannote[1629].speaker |
SPEAKER_34 |
transcript.pyannote[1629].start |
10233.33471875 |
transcript.pyannote[1629].end |
10233.79034375 |
transcript.pyannote[1630].speaker |
SPEAKER_04 |
transcript.pyannote[1630].start |
10233.79034375 |
transcript.pyannote[1630].end |
10234.81971875 |
transcript.pyannote[1631].speaker |
SPEAKER_34 |
transcript.pyannote[1631].start |
10237.23284375 |
transcript.pyannote[1631].end |
10237.84034375 |
transcript.pyannote[1632].speaker |
SPEAKER_34 |
transcript.pyannote[1632].start |
10238.29596875 |
transcript.pyannote[1632].end |
10238.88659375 |
transcript.pyannote[1633].speaker |
SPEAKER_34 |
transcript.pyannote[1633].start |
10238.92034375 |
transcript.pyannote[1633].end |
10241.83971875 |
transcript.pyannote[1634].speaker |
SPEAKER_34 |
transcript.pyannote[1634].start |
10242.29534375 |
transcript.pyannote[1634].end |
10243.51034375 |
transcript.pyannote[1635].speaker |
SPEAKER_34 |
transcript.pyannote[1635].start |
10243.88159375 |
transcript.pyannote[1635].end |
10244.70846875 |
transcript.pyannote[1636].speaker |
SPEAKER_34 |
transcript.pyannote[1636].start |
10245.43409375 |
transcript.pyannote[1636].end |
10246.95284375 |
transcript.pyannote[1637].speaker |
SPEAKER_34 |
transcript.pyannote[1637].start |
10247.57721875 |
transcript.pyannote[1637].end |
10249.21409375 |
transcript.pyannote[1638].speaker |
SPEAKER_34 |
transcript.pyannote[1638].start |
10250.26034375 |
transcript.pyannote[1638].end |
10253.87159375 |
transcript.pyannote[1639].speaker |
SPEAKER_34 |
transcript.pyannote[1639].start |
10254.49596875 |
transcript.pyannote[1639].end |
10256.92596875 |
transcript.pyannote[1640].speaker |
SPEAKER_34 |
transcript.pyannote[1640].start |
10257.58409375 |
transcript.pyannote[1640].end |
10260.28409375 |
transcript.pyannote[1641].speaker |
SPEAKER_34 |
transcript.pyannote[1641].start |
10261.29659375 |
transcript.pyannote[1641].end |
10263.92909375 |
transcript.pyannote[1642].speaker |
SPEAKER_34 |
transcript.pyannote[1642].start |
10264.70534375 |
transcript.pyannote[1642].end |
10265.53221875 |
transcript.pyannote[1643].speaker |
SPEAKER_34 |
transcript.pyannote[1643].start |
10265.86971875 |
transcript.pyannote[1643].end |
10267.38846875 |
transcript.pyannote[1644].speaker |
SPEAKER_34 |
transcript.pyannote[1644].start |
10268.28284375 |
transcript.pyannote[1644].end |
10269.51471875 |
transcript.pyannote[1645].speaker |
SPEAKER_34 |
transcript.pyannote[1645].start |
10271.23596875 |
transcript.pyannote[1645].end |
10272.56909375 |
transcript.pyannote[1646].speaker |
SPEAKER_34 |
transcript.pyannote[1646].start |
10273.24409375 |
transcript.pyannote[1646].end |
10273.98659375 |
transcript.pyannote[1647].speaker |
SPEAKER_34 |
transcript.pyannote[1647].start |
10274.66159375 |
transcript.pyannote[1647].end |
10276.51784375 |
transcript.pyannote[1648].speaker |
SPEAKER_34 |
transcript.pyannote[1648].start |
10277.07471875 |
transcript.pyannote[1648].end |
10279.30221875 |
transcript.pyannote[1649].speaker |
SPEAKER_34 |
transcript.pyannote[1649].start |
10280.51721875 |
transcript.pyannote[1649].end |
10281.24284375 |
transcript.pyannote[1650].speaker |
SPEAKER_18 |
transcript.pyannote[1650].start |
10281.24284375 |
transcript.pyannote[1650].end |
10281.27659375 |
transcript.pyannote[1651].speaker |
SPEAKER_34 |
transcript.pyannote[1651].start |
10282.30596875 |
transcript.pyannote[1651].end |
10282.32284375 |
transcript.pyannote[1652].speaker |
SPEAKER_18 |
transcript.pyannote[1652].start |
10282.32284375 |
transcript.pyannote[1652].end |
10291.03034375 |
transcript.pyannote[1653].speaker |
SPEAKER_34 |
transcript.pyannote[1653].start |
10291.03034375 |
transcript.pyannote[1653].end |
10293.34221875 |
transcript.pyannote[1654].speaker |
SPEAKER_18 |
transcript.pyannote[1654].start |
10293.34221875 |
transcript.pyannote[1654].end |
10293.35909375 |
transcript.pyannote[1655].speaker |
SPEAKER_34 |
transcript.pyannote[1655].start |
10293.35909375 |
transcript.pyannote[1655].end |
10293.37596875 |
transcript.pyannote[1656].speaker |
SPEAKER_34 |
transcript.pyannote[1656].start |
10293.57846875 |
transcript.pyannote[1656].end |
10295.24909375 |
transcript.pyannote[1657].speaker |
SPEAKER_34 |
transcript.pyannote[1657].start |
10295.94096875 |
transcript.pyannote[1657].end |
10300.64909375 |
transcript.pyannote[1658].speaker |
SPEAKER_17 |
transcript.pyannote[1658].start |
10296.32909375 |
transcript.pyannote[1658].end |
10296.37971875 |
transcript.pyannote[1659].speaker |
SPEAKER_18 |
transcript.pyannote[1659].start |
10296.37971875 |
transcript.pyannote[1659].end |
10297.35846875 |
transcript.pyannote[1660].speaker |
SPEAKER_18 |
transcript.pyannote[1660].start |
10297.71284375 |
transcript.pyannote[1660].end |
10298.42159375 |
transcript.pyannote[1661].speaker |
SPEAKER_18 |
transcript.pyannote[1661].start |
10299.87284375 |
transcript.pyannote[1661].end |
10300.63221875 |
transcript.pyannote[1662].speaker |
SPEAKER_18 |
transcript.pyannote[1662].start |
10300.64909375 |
transcript.pyannote[1662].end |
10303.31534375 |
transcript.pyannote[1663].speaker |
SPEAKER_34 |
transcript.pyannote[1663].start |
10302.03284375 |
transcript.pyannote[1663].end |
10304.37846875 |
transcript.pyannote[1664].speaker |
SPEAKER_34 |
transcript.pyannote[1664].start |
10304.49659375 |
transcript.pyannote[1664].end |
10311.78659375 |
transcript.pyannote[1665].speaker |
SPEAKER_18 |
transcript.pyannote[1665].start |
10306.40346875 |
transcript.pyannote[1665].end |
10309.60971875 |
transcript.pyannote[1666].speaker |
SPEAKER_18 |
transcript.pyannote[1666].start |
10310.75721875 |
transcript.pyannote[1666].end |
10310.87534375 |
transcript.pyannote[1667].speaker |
SPEAKER_34 |
transcript.pyannote[1667].start |
10311.98909375 |
transcript.pyannote[1667].end |
10313.15346875 |
transcript.pyannote[1668].speaker |
SPEAKER_34 |
transcript.pyannote[1668].start |
10313.50784375 |
transcript.pyannote[1668].end |
10315.88721875 |
transcript.pyannote[1669].speaker |
SPEAKER_34 |
transcript.pyannote[1669].start |
10316.10659375 |
transcript.pyannote[1669].end |
10318.21596875 |
transcript.pyannote[1670].speaker |
SPEAKER_17 |
transcript.pyannote[1670].start |
10316.14034375 |
transcript.pyannote[1670].end |
10318.31721875 |
transcript.pyannote[1671].speaker |
SPEAKER_34 |
transcript.pyannote[1671].start |
10318.31721875 |
transcript.pyannote[1671].end |
10318.67159375 |
transcript.pyannote[1672].speaker |
SPEAKER_17 |
transcript.pyannote[1672].start |
10318.67159375 |
transcript.pyannote[1672].end |
10318.78971875 |
transcript.pyannote[1673].speaker |
SPEAKER_34 |
transcript.pyannote[1673].start |
10318.78971875 |
transcript.pyannote[1673].end |
10318.82346875 |
transcript.pyannote[1674].speaker |
SPEAKER_17 |
transcript.pyannote[1674].start |
10318.82346875 |
transcript.pyannote[1674].end |
10318.85721875 |
transcript.pyannote[1675].speaker |
SPEAKER_34 |
transcript.pyannote[1675].start |
10318.85721875 |
transcript.pyannote[1675].end |
10321.05096875 |
transcript.pyannote[1676].speaker |
SPEAKER_17 |
transcript.pyannote[1676].start |
10318.87409375 |
transcript.pyannote[1676].end |
10321.38846875 |
transcript.pyannote[1677].speaker |
SPEAKER_34 |
transcript.pyannote[1677].start |
10321.82721875 |
transcript.pyannote[1677].end |
10321.84409375 |
transcript.pyannote[1678].speaker |
SPEAKER_17 |
transcript.pyannote[1678].start |
10321.84409375 |
transcript.pyannote[1678].end |
10323.21096875 |
transcript.pyannote[1679].speaker |
SPEAKER_34 |
transcript.pyannote[1679].start |
10321.86096875 |
transcript.pyannote[1679].end |
10322.58659375 |
transcript.pyannote[1680].speaker |
SPEAKER_17 |
transcript.pyannote[1680].start |
10323.32909375 |
transcript.pyannote[1680].end |
10326.92346875 |
transcript.pyannote[1681].speaker |
SPEAKER_17 |
transcript.pyannote[1681].start |
10328.22284375 |
transcript.pyannote[1681].end |
10331.02409375 |
transcript.pyannote[1682].speaker |
SPEAKER_34 |
transcript.pyannote[1682].start |
10329.96096875 |
transcript.pyannote[1682].end |
10340.22096875 |
transcript.pyannote[1683].speaker |
SPEAKER_17 |
transcript.pyannote[1683].start |
10332.42471875 |
transcript.pyannote[1683].end |
10335.14159375 |
transcript.pyannote[1684].speaker |
SPEAKER_18 |
transcript.pyannote[1684].start |
10337.26784375 |
transcript.pyannote[1684].end |
10338.95534375 |
transcript.pyannote[1685].speaker |
SPEAKER_34 |
transcript.pyannote[1685].start |
10340.55846875 |
transcript.pyannote[1685].end |
10343.03909375 |
transcript.pyannote[1686].speaker |
SPEAKER_34 |
transcript.pyannote[1686].start |
10345.04721875 |
transcript.pyannote[1686].end |
10346.80221875 |
transcript.pyannote[1687].speaker |
SPEAKER_43 |
transcript.pyannote[1687].start |
10347.98346875 |
transcript.pyannote[1687].end |
10366.20846875 |
transcript.pyannote[1688].speaker |
SPEAKER_34 |
transcript.pyannote[1688].start |
10365.95534375 |
transcript.pyannote[1688].end |
10368.67221875 |
transcript.pyannote[1689].speaker |
SPEAKER_34 |
transcript.pyannote[1689].start |
10369.29659375 |
transcript.pyannote[1689].end |
10370.68034375 |
transcript.pyannote[1690].speaker |
SPEAKER_34 |
transcript.pyannote[1690].start |
10371.10221875 |
transcript.pyannote[1690].end |
10374.49409375 |
transcript.pyannote[1691].speaker |
SPEAKER_34 |
transcript.pyannote[1691].start |
10375.05096875 |
transcript.pyannote[1691].end |
10378.54409375 |
transcript.pyannote[1692].speaker |
SPEAKER_34 |
transcript.pyannote[1692].start |
10378.84784375 |
transcript.pyannote[1692].end |
10380.87284375 |
transcript.pyannote[1693].speaker |
SPEAKER_34 |
transcript.pyannote[1693].start |
10381.41284375 |
transcript.pyannote[1693].end |
10383.33659375 |
transcript.pyannote[1694].speaker |
SPEAKER_34 |
transcript.pyannote[1694].start |
10384.53471875 |
transcript.pyannote[1694].end |
10385.71596875 |
transcript.pyannote[1695].speaker |
SPEAKER_34 |
transcript.pyannote[1695].start |
10386.17159375 |
transcript.pyannote[1695].end |
10387.06596875 |
transcript.pyannote[1696].speaker |
SPEAKER_34 |
transcript.pyannote[1696].start |
10387.33596875 |
transcript.pyannote[1696].end |
10388.11221875 |
transcript.pyannote[1697].speaker |
SPEAKER_34 |
transcript.pyannote[1697].start |
10388.70284375 |
transcript.pyannote[1697].end |
10389.98534375 |
transcript.pyannote[1698].speaker |
SPEAKER_34 |
transcript.pyannote[1698].start |
10390.25534375 |
transcript.pyannote[1698].end |
10391.36909375 |
transcript.pyannote[1699].speaker |
SPEAKER_34 |
transcript.pyannote[1699].start |
10391.90909375 |
transcript.pyannote[1699].end |
10392.60096875 |
transcript.pyannote[1700].speaker |
SPEAKER_34 |
transcript.pyannote[1700].start |
10393.27596875 |
transcript.pyannote[1700].end |
10395.48659375 |
transcript.pyannote[1701].speaker |
SPEAKER_34 |
transcript.pyannote[1701].start |
10395.99284375 |
transcript.pyannote[1701].end |
10397.68034375 |
transcript.pyannote[1702].speaker |
SPEAKER_34 |
transcript.pyannote[1702].start |
10398.38909375 |
transcript.pyannote[1702].end |
10400.78534375 |
transcript.pyannote[1703].speaker |
SPEAKER_34 |
transcript.pyannote[1703].start |
10401.12284375 |
transcript.pyannote[1703].end |
10402.15221875 |
transcript.pyannote[1704].speaker |
SPEAKER_34 |
transcript.pyannote[1704].start |
10402.37159375 |
transcript.pyannote[1704].end |
10402.89471875 |
transcript.pyannote[1705].speaker |
SPEAKER_34 |
transcript.pyannote[1705].start |
10403.80596875 |
transcript.pyannote[1705].end |
10413.45846875 |
transcript.pyannote[1706].speaker |
SPEAKER_34 |
transcript.pyannote[1706].start |
10413.54284375 |
transcript.pyannote[1706].end |
10414.74096875 |
transcript.pyannote[1707].speaker |
SPEAKER_43 |
transcript.pyannote[1707].start |
10415.56784375 |
transcript.pyannote[1707].end |
10425.23721875 |
transcript.pyannote[1708].speaker |
SPEAKER_34 |
transcript.pyannote[1708].start |
10425.69284375 |
transcript.pyannote[1708].end |
10426.08096875 |
transcript.pyannote[1709].speaker |
SPEAKER_34 |
transcript.pyannote[1709].start |
10426.65471875 |
transcript.pyannote[1709].end |
10430.33346875 |
transcript.pyannote[1710].speaker |
SPEAKER_34 |
transcript.pyannote[1710].start |
10430.75534375 |
transcript.pyannote[1710].end |
10431.07596875 |
transcript.pyannote[1711].speaker |
SPEAKER_34 |
transcript.pyannote[1711].start |
10431.64971875 |
transcript.pyannote[1711].end |
10433.52284375 |
transcript.pyannote[1712].speaker |
SPEAKER_34 |
transcript.pyannote[1712].start |
10433.97846875 |
transcript.pyannote[1712].end |
10436.89784375 |
transcript.pyannote[1713].speaker |
SPEAKER_34 |
transcript.pyannote[1713].start |
10437.47159375 |
transcript.pyannote[1713].end |
10439.19284375 |
transcript.pyannote[1714].speaker |
SPEAKER_34 |
transcript.pyannote[1714].start |
10439.51346875 |
transcript.pyannote[1714].end |
10441.43721875 |
transcript.pyannote[1715].speaker |
SPEAKER_34 |
transcript.pyannote[1715].start |
10441.45409375 |
transcript.pyannote[1715].end |
10442.92221875 |
transcript.pyannote[1716].speaker |
SPEAKER_34 |
transcript.pyannote[1716].start |
10443.25971875 |
transcript.pyannote[1716].end |
10444.74471875 |
transcript.pyannote[1717].speaker |
SPEAKER_18 |
transcript.pyannote[1717].start |
10444.74471875 |
transcript.pyannote[1717].end |
10446.88784375 |
transcript.pyannote[1718].speaker |
SPEAKER_34 |
transcript.pyannote[1718].start |
10446.88784375 |
transcript.pyannote[1718].end |
10446.98909375 |
transcript.pyannote[1719].speaker |
SPEAKER_18 |
transcript.pyannote[1719].start |
10446.98909375 |
transcript.pyannote[1719].end |
10447.10721875 |
transcript.pyannote[1720].speaker |
SPEAKER_34 |
transcript.pyannote[1720].start |
10447.10721875 |
transcript.pyannote[1720].end |
10447.17471875 |
transcript.pyannote[1721].speaker |
SPEAKER_18 |
transcript.pyannote[1721].start |
10447.17471875 |
transcript.pyannote[1721].end |
10447.20846875 |
transcript.pyannote[1722].speaker |
SPEAKER_34 |
transcript.pyannote[1722].start |
10447.20846875 |
transcript.pyannote[1722].end |
10447.34346875 |
transcript.pyannote[1723].speaker |
SPEAKER_18 |
transcript.pyannote[1723].start |
10447.34346875 |
transcript.pyannote[1723].end |
10447.44471875 |
transcript.pyannote[1724].speaker |
SPEAKER_34 |
transcript.pyannote[1724].start |
10447.44471875 |
transcript.pyannote[1724].end |
10447.61346875 |
transcript.pyannote[1725].speaker |
SPEAKER_18 |
transcript.pyannote[1725].start |
10447.61346875 |
transcript.pyannote[1725].end |
10447.74846875 |
transcript.pyannote[1726].speaker |
SPEAKER_34 |
transcript.pyannote[1726].start |
10447.74846875 |
transcript.pyannote[1726].end |
10448.44034375 |
transcript.pyannote[1727].speaker |
SPEAKER_34 |
transcript.pyannote[1727].start |
10448.67659375 |
transcript.pyannote[1727].end |
10449.03096875 |
transcript.pyannote[1728].speaker |
SPEAKER_34 |
transcript.pyannote[1728].start |
10449.18284375 |
transcript.pyannote[1728].end |
10450.88721875 |
transcript.pyannote[1729].speaker |
SPEAKER_34 |
transcript.pyannote[1729].start |
10451.95034375 |
transcript.pyannote[1729].end |
10456.47284375 |
transcript.pyannote[1730].speaker |
SPEAKER_43 |
transcript.pyannote[1730].start |
10456.06784375 |
transcript.pyannote[1730].end |
10474.36034375 |
transcript.pyannote[1731].speaker |
SPEAKER_34 |
transcript.pyannote[1731].start |
10473.88784375 |
transcript.pyannote[1731].end |
10476.89159375 |
transcript.pyannote[1732].speaker |
SPEAKER_43 |
transcript.pyannote[1732].start |
10474.83284375 |
transcript.pyannote[1732].end |
10477.56659375 |
transcript.pyannote[1733].speaker |
SPEAKER_34 |
transcript.pyannote[1733].start |
10477.09409375 |
transcript.pyannote[1733].end |
10477.60034375 |
transcript.pyannote[1734].speaker |
SPEAKER_43 |
transcript.pyannote[1734].start |
10477.60034375 |
transcript.pyannote[1734].end |
10477.65096875 |
transcript.pyannote[1735].speaker |
SPEAKER_34 |
transcript.pyannote[1735].start |
10477.65096875 |
transcript.pyannote[1735].end |
10477.68471875 |
transcript.pyannote[1736].speaker |
SPEAKER_43 |
transcript.pyannote[1736].start |
10477.68471875 |
transcript.pyannote[1736].end |
10478.59596875 |
transcript.pyannote[1737].speaker |
SPEAKER_34 |
transcript.pyannote[1737].start |
10477.71846875 |
transcript.pyannote[1737].end |
10480.43534375 |
transcript.pyannote[1738].speaker |
SPEAKER_34 |
transcript.pyannote[1738].start |
10481.11034375 |
transcript.pyannote[1738].end |
10482.49409375 |
transcript.pyannote[1739].speaker |
SPEAKER_34 |
transcript.pyannote[1739].start |
10483.10159375 |
transcript.pyannote[1739].end |
10484.11409375 |
transcript.pyannote[1740].speaker |
SPEAKER_34 |
transcript.pyannote[1740].start |
10484.87346875 |
transcript.pyannote[1740].end |
10484.89034375 |
transcript.pyannote[1741].speaker |
SPEAKER_04 |
transcript.pyannote[1741].start |
10484.89034375 |
transcript.pyannote[1741].end |
10485.58221875 |
transcript.pyannote[1742].speaker |
SPEAKER_34 |
transcript.pyannote[1742].start |
10485.58221875 |
transcript.pyannote[1742].end |
10485.61596875 |
transcript.pyannote[1743].speaker |
SPEAKER_34 |
transcript.pyannote[1743].start |
10492.88909375 |
transcript.pyannote[1743].end |
10494.07034375 |
transcript.pyannote[1744].speaker |
SPEAKER_30 |
transcript.pyannote[1744].start |
10494.07034375 |
transcript.pyannote[1744].end |
10494.23909375 |
transcript.pyannote[1745].speaker |
SPEAKER_34 |
transcript.pyannote[1745].start |
10494.23909375 |
transcript.pyannote[1745].end |
10507.97534375 |
transcript.pyannote[1746].speaker |
SPEAKER_34 |
transcript.pyannote[1746].start |
10508.78534375 |
transcript.pyannote[1746].end |
10516.05846875 |
transcript.pyannote[1747].speaker |
SPEAKER_34 |
transcript.pyannote[1747].start |
10516.29471875 |
transcript.pyannote[1747].end |
10522.62284375 |
transcript.pyannote[1748].speaker |
SPEAKER_34 |
transcript.pyannote[1748].start |
10522.92659375 |
transcript.pyannote[1748].end |
10525.08659375 |
transcript.pyannote[1749].speaker |
SPEAKER_34 |
transcript.pyannote[1749].start |
10525.72784375 |
transcript.pyannote[1749].end |
10526.16659375 |
transcript.pyannote[1750].speaker |
SPEAKER_34 |
transcript.pyannote[1750].start |
10527.55034375 |
transcript.pyannote[1750].end |
10530.03096875 |
transcript.pyannote[1751].speaker |
SPEAKER_34 |
transcript.pyannote[1751].start |
10530.57096875 |
transcript.pyannote[1751].end |
10532.89971875 |
transcript.pyannote[1752].speaker |
SPEAKER_34 |
transcript.pyannote[1752].start |
10533.28784375 |
transcript.pyannote[1752].end |
10536.13971875 |
transcript.pyannote[1753].speaker |
SPEAKER_34 |
transcript.pyannote[1753].start |
10536.15659375 |
transcript.pyannote[1753].end |
10536.17346875 |
transcript.pyannote[1754].speaker |
SPEAKER_31 |
transcript.pyannote[1754].start |
10536.17346875 |
transcript.pyannote[1754].end |
10536.79784375 |
transcript.pyannote[1755].speaker |
SPEAKER_34 |
transcript.pyannote[1755].start |
10536.79784375 |
transcript.pyannote[1755].end |
10540.40909375 |
transcript.pyannote[1756].speaker |
SPEAKER_09 |
transcript.pyannote[1756].start |
10536.86534375 |
transcript.pyannote[1756].end |
10536.91596875 |
transcript.pyannote[1757].speaker |
SPEAKER_09 |
transcript.pyannote[1757].start |
10542.07971875 |
transcript.pyannote[1757].end |
10553.90909375 |
transcript.pyannote[1758].speaker |
SPEAKER_09 |
transcript.pyannote[1758].start |
10554.01034375 |
transcript.pyannote[1758].end |
10554.02721875 |
transcript.pyannote[1759].speaker |
SPEAKER_34 |
transcript.pyannote[1759].start |
10554.02721875 |
transcript.pyannote[1759].end |
10558.46534375 |
transcript.pyannote[1760].speaker |
SPEAKER_09 |
transcript.pyannote[1760].start |
10554.06096875 |
transcript.pyannote[1760].end |
10554.70221875 |
transcript.pyannote[1761].speaker |
SPEAKER_09 |
transcript.pyannote[1761].start |
10558.46534375 |
transcript.pyannote[1761].end |
10558.48221875 |
transcript.pyannote[1762].speaker |
SPEAKER_34 |
transcript.pyannote[1762].start |
10558.48221875 |
transcript.pyannote[1762].end |
10559.96721875 |
transcript.pyannote[1763].speaker |
SPEAKER_09 |
transcript.pyannote[1763].start |
10558.49909375 |
transcript.pyannote[1763].end |
10569.26534375 |
transcript.pyannote[1764].speaker |
SPEAKER_34 |
transcript.pyannote[1764].start |
10568.72534375 |
transcript.pyannote[1764].end |
10578.36096875 |
transcript.pyannote[1765].speaker |
SPEAKER_18 |
transcript.pyannote[1765].start |
10573.38284375 |
transcript.pyannote[1765].end |
10573.39971875 |
transcript.pyannote[1766].speaker |
SPEAKER_09 |
transcript.pyannote[1766].start |
10573.39971875 |
transcript.pyannote[1766].end |
10574.54721875 |
transcript.pyannote[1767].speaker |
SPEAKER_18 |
transcript.pyannote[1767].start |
10574.54721875 |
transcript.pyannote[1767].end |
10575.17159375 |
transcript.pyannote[1768].speaker |
SPEAKER_09 |
transcript.pyannote[1768].start |
10575.17159375 |
transcript.pyannote[1768].end |
10575.18846875 |
transcript.pyannote[1769].speaker |
SPEAKER_18 |
transcript.pyannote[1769].start |
10575.18846875 |
transcript.pyannote[1769].end |
10576.26846875 |
transcript.pyannote[1770].speaker |
SPEAKER_34 |
transcript.pyannote[1770].start |
10578.59721875 |
transcript.pyannote[1770].end |
10582.64721875 |
transcript.pyannote[1771].speaker |
SPEAKER_34 |
transcript.pyannote[1771].start |
10583.72721875 |
transcript.pyannote[1771].end |
10584.26721875 |
transcript.pyannote[1772].speaker |
SPEAKER_34 |
transcript.pyannote[1772].start |
10584.89159375 |
transcript.pyannote[1772].end |
10586.32596875 |
transcript.pyannote[1773].speaker |
SPEAKER_34 |
transcript.pyannote[1773].start |
10586.59596875 |
transcript.pyannote[1773].end |
10587.60846875 |
transcript.pyannote[1774].speaker |
SPEAKER_34 |
transcript.pyannote[1774].start |
10589.58284375 |
transcript.pyannote[1774].end |
10590.89909375 |
transcript.pyannote[1775].speaker |
SPEAKER_34 |
transcript.pyannote[1775].start |
10591.06784375 |
transcript.pyannote[1775].end |
10591.87784375 |
transcript.pyannote[1776].speaker |
SPEAKER_34 |
transcript.pyannote[1776].start |
10594.34159375 |
transcript.pyannote[1776].end |
10595.45534375 |
transcript.pyannote[1777].speaker |
SPEAKER_34 |
transcript.pyannote[1777].start |
10596.07971875 |
transcript.pyannote[1777].end |
10597.68284375 |
transcript.pyannote[1778].speaker |
SPEAKER_34 |
transcript.pyannote[1778].start |
10598.74596875 |
transcript.pyannote[1778].end |
10599.77534375 |
transcript.pyannote[1779].speaker |
SPEAKER_34 |
transcript.pyannote[1779].start |
10601.05784375 |
transcript.pyannote[1779].end |
10608.88784375 |
transcript.pyannote[1780].speaker |
SPEAKER_18 |
transcript.pyannote[1780].start |
10605.54659375 |
transcript.pyannote[1780].end |
10606.33971875 |
transcript.pyannote[1781].speaker |
SPEAKER_18 |
transcript.pyannote[1781].start |
10608.88784375 |
transcript.pyannote[1781].end |
10610.15346875 |
transcript.pyannote[1782].speaker |
SPEAKER_34 |
transcript.pyannote[1782].start |
10610.22096875 |
transcript.pyannote[1782].end |
10612.39784375 |
transcript.pyannote[1783].speaker |
SPEAKER_34 |
transcript.pyannote[1783].start |
10613.07284375 |
transcript.pyannote[1783].end |
10634.18346875 |
transcript.pyannote[1784].speaker |
SPEAKER_18 |
transcript.pyannote[1784].start |
10616.07659375 |
transcript.pyannote[1784].end |
10621.00409375 |
transcript.pyannote[1785].speaker |
SPEAKER_18 |
transcript.pyannote[1785].start |
10623.04596875 |
transcript.pyannote[1785].end |
10624.00784375 |
transcript.pyannote[1786].speaker |
SPEAKER_34 |
transcript.pyannote[1786].start |
10634.90909375 |
transcript.pyannote[1786].end |
10637.28846875 |
transcript.pyannote[1787].speaker |
SPEAKER_34 |
transcript.pyannote[1787].start |
10637.65971875 |
transcript.pyannote[1787].end |
10640.52846875 |
transcript.pyannote[1788].speaker |
SPEAKER_34 |
transcript.pyannote[1788].start |
10641.03471875 |
transcript.pyannote[1788].end |
10646.11409375 |
transcript.pyannote[1789].speaker |
SPEAKER_34 |
transcript.pyannote[1789].start |
10646.63721875 |
transcript.pyannote[1789].end |
10652.23971875 |
transcript.pyannote[1790].speaker |
SPEAKER_34 |
transcript.pyannote[1790].start |
10652.72909375 |
transcript.pyannote[1790].end |
10655.71596875 |
transcript.pyannote[1791].speaker |
SPEAKER_34 |
transcript.pyannote[1791].start |
10656.34034375 |
transcript.pyannote[1791].end |
10658.50034375 |
transcript.pyannote[1792].speaker |
SPEAKER_34 |
transcript.pyannote[1792].start |
10658.77034375 |
transcript.pyannote[1792].end |
10660.87971875 |
transcript.pyannote[1793].speaker |
SPEAKER_34 |
transcript.pyannote[1793].start |
10661.36909375 |
transcript.pyannote[1793].end |
10663.84971875 |
transcript.pyannote[1794].speaker |
SPEAKER_34 |
transcript.pyannote[1794].start |
10664.40659375 |
transcript.pyannote[1794].end |
10664.91284375 |
transcript.pyannote[1795].speaker |
SPEAKER_34 |
transcript.pyannote[1795].start |
10665.75659375 |
transcript.pyannote[1795].end |
10667.17409375 |
transcript.pyannote[1796].speaker |
SPEAKER_34 |
transcript.pyannote[1796].start |
10667.73096875 |
transcript.pyannote[1796].end |
10671.51096875 |
transcript.pyannote[1797].speaker |
SPEAKER_34 |
transcript.pyannote[1797].start |
10671.91596875 |
transcript.pyannote[1797].end |
10672.59096875 |
transcript.pyannote[1798].speaker |
SPEAKER_34 |
transcript.pyannote[1798].start |
10673.04659375 |
transcript.pyannote[1798].end |
10674.07596875 |
transcript.pyannote[1799].speaker |
SPEAKER_34 |
transcript.pyannote[1799].start |
10674.51471875 |
transcript.pyannote[1799].end |
10677.29909375 |
transcript.pyannote[1800].speaker |
SPEAKER_34 |
transcript.pyannote[1800].start |
10677.94034375 |
transcript.pyannote[1800].end |
10681.72034375 |
transcript.pyannote[1801].speaker |
SPEAKER_12 |
transcript.pyannote[1801].start |
10682.47971875 |
transcript.pyannote[1801].end |
10698.10596875 |
transcript.pyannote[1802].speaker |
SPEAKER_34 |
transcript.pyannote[1802].start |
10697.80221875 |
transcript.pyannote[1802].end |
10699.23659375 |
transcript.pyannote[1803].speaker |
SPEAKER_12 |
transcript.pyannote[1803].start |
10699.18596875 |
transcript.pyannote[1803].end |
10699.20284375 |
transcript.pyannote[1804].speaker |
SPEAKER_12 |
transcript.pyannote[1804].start |
10699.21971875 |
transcript.pyannote[1804].end |
10700.83971875 |
transcript.pyannote[1805].speaker |
SPEAKER_34 |
transcript.pyannote[1805].start |
10700.46846875 |
transcript.pyannote[1805].end |
10701.56534375 |
transcript.pyannote[1806].speaker |
SPEAKER_34 |
transcript.pyannote[1806].start |
10702.29096875 |
transcript.pyannote[1806].end |
10703.55659375 |
transcript.pyannote[1807].speaker |
SPEAKER_34 |
transcript.pyannote[1807].start |
10704.36659375 |
transcript.pyannote[1807].end |
10704.70409375 |
transcript.pyannote[1808].speaker |
SPEAKER_34 |
transcript.pyannote[1808].start |
10705.86846875 |
transcript.pyannote[1808].end |
10707.03284375 |
transcript.pyannote[1809].speaker |
SPEAKER_30 |
transcript.pyannote[1809].start |
10707.40409375 |
transcript.pyannote[1809].end |
10707.89346875 |
transcript.pyannote[1810].speaker |
SPEAKER_34 |
transcript.pyannote[1810].start |
10707.55596875 |
transcript.pyannote[1810].end |
10709.26034375 |
transcript.pyannote[1811].speaker |
SPEAKER_34 |
transcript.pyannote[1811].start |
10709.68221875 |
transcript.pyannote[1811].end |
10713.02346875 |
transcript.pyannote[1812].speaker |
SPEAKER_34 |
transcript.pyannote[1812].start |
10713.32721875 |
transcript.pyannote[1812].end |
10715.36909375 |
transcript.pyannote[1813].speaker |
SPEAKER_12 |
transcript.pyannote[1813].start |
10715.95971875 |
transcript.pyannote[1813].end |
10716.31409375 |
transcript.pyannote[1814].speaker |
SPEAKER_34 |
transcript.pyannote[1814].start |
10716.07784375 |
transcript.pyannote[1814].end |
10716.88784375 |
transcript.pyannote[1815].speaker |
SPEAKER_12 |
transcript.pyannote[1815].start |
10717.37721875 |
transcript.pyannote[1815].end |
10731.23159375 |
transcript.pyannote[1816].speaker |
SPEAKER_34 |
transcript.pyannote[1816].start |
10717.56284375 |
transcript.pyannote[1816].end |
10718.01846875 |
transcript.pyannote[1817].speaker |
SPEAKER_34 |
transcript.pyannote[1817].start |
10729.74659375 |
transcript.pyannote[1817].end |
10731.02909375 |
transcript.pyannote[1818].speaker |
SPEAKER_34 |
transcript.pyannote[1818].start |
10731.51846875 |
transcript.pyannote[1818].end |
10732.59846875 |
transcript.pyannote[1819].speaker |
SPEAKER_34 |
transcript.pyannote[1819].start |
10733.23971875 |
transcript.pyannote[1819].end |
10734.42096875 |
transcript.pyannote[1820].speaker |
SPEAKER_34 |
transcript.pyannote[1820].start |
10734.92721875 |
transcript.pyannote[1820].end |
10735.78784375 |
transcript.pyannote[1821].speaker |
SPEAKER_34 |
transcript.pyannote[1821].start |
10736.32784375 |
transcript.pyannote[1821].end |
10740.36096875 |
transcript.pyannote[1822].speaker |
SPEAKER_34 |
transcript.pyannote[1822].start |
10740.63096875 |
transcript.pyannote[1822].end |
10742.84159375 |
transcript.pyannote[1823].speaker |
SPEAKER_34 |
transcript.pyannote[1823].start |
10743.44909375 |
transcript.pyannote[1823].end |
10744.44471875 |
transcript.pyannote[1824].speaker |
SPEAKER_34 |
transcript.pyannote[1824].start |
10744.98471875 |
transcript.pyannote[1824].end |
10747.02659375 |
transcript.pyannote[1825].speaker |
SPEAKER_12 |
transcript.pyannote[1825].start |
10747.07721875 |
transcript.pyannote[1825].end |
10748.17409375 |
transcript.pyannote[1826].speaker |
SPEAKER_34 |
transcript.pyannote[1826].start |
10747.68471875 |
transcript.pyannote[1826].end |
10750.50284375 |
transcript.pyannote[1827].speaker |
SPEAKER_34 |
transcript.pyannote[1827].start |
10750.95846875 |
transcript.pyannote[1827].end |
10755.46409375 |
transcript.pyannote[1828].speaker |
SPEAKER_12 |
transcript.pyannote[1828].start |
10753.20284375 |
transcript.pyannote[1828].end |
10753.45596875 |
transcript.pyannote[1829].speaker |
SPEAKER_12 |
transcript.pyannote[1829].start |
10755.24471875 |
transcript.pyannote[1829].end |
10757.35409375 |
transcript.pyannote[1830].speaker |
SPEAKER_34 |
transcript.pyannote[1830].start |
10757.32034375 |
transcript.pyannote[1830].end |
10757.96159375 |
transcript.pyannote[1831].speaker |
SPEAKER_34 |
transcript.pyannote[1831].start |
10758.19784375 |
transcript.pyannote[1831].end |
10760.49284375 |
transcript.pyannote[1832].speaker |
SPEAKER_34 |
transcript.pyannote[1832].start |
10761.04971875 |
transcript.pyannote[1832].end |
10761.94409375 |
transcript.pyannote[1833].speaker |
SPEAKER_34 |
transcript.pyannote[1833].start |
10762.29846875 |
transcript.pyannote[1833].end |
10763.37846875 |
transcript.pyannote[1834].speaker |
SPEAKER_34 |
transcript.pyannote[1834].start |
10763.86784375 |
transcript.pyannote[1834].end |
10765.31909375 |
transcript.pyannote[1835].speaker |
SPEAKER_34 |
transcript.pyannote[1835].start |
10766.04471875 |
transcript.pyannote[1835].end |
10773.94221875 |
transcript.pyannote[1836].speaker |
SPEAKER_12 |
transcript.pyannote[1836].start |
10773.94221875 |
transcript.pyannote[1836].end |
10774.33034375 |
transcript.pyannote[1837].speaker |
SPEAKER_34 |
transcript.pyannote[1837].start |
10774.19534375 |
transcript.pyannote[1837].end |
10776.20346875 |
transcript.pyannote[1838].speaker |
SPEAKER_12 |
transcript.pyannote[1838].start |
10776.20346875 |
transcript.pyannote[1838].end |
10780.08471875 |
transcript.pyannote[1839].speaker |
SPEAKER_34 |
transcript.pyannote[1839].start |
10777.99221875 |
transcript.pyannote[1839].end |
10778.43096875 |
transcript.pyannote[1840].speaker |
SPEAKER_34 |
transcript.pyannote[1840].start |
10778.97096875 |
transcript.pyannote[1840].end |
10780.91159375 |
transcript.pyannote[1841].speaker |
SPEAKER_18 |
transcript.pyannote[1841].start |
10780.08471875 |
transcript.pyannote[1841].end |
10780.11846875 |
transcript.pyannote[1842].speaker |
SPEAKER_18 |
transcript.pyannote[1842].start |
10780.91159375 |
transcript.pyannote[1842].end |
10780.92846875 |
transcript.pyannote[1843].speaker |
SPEAKER_34 |
transcript.pyannote[1843].start |
10780.92846875 |
transcript.pyannote[1843].end |
10780.96221875 |
transcript.pyannote[1844].speaker |
SPEAKER_18 |
transcript.pyannote[1844].start |
10780.96221875 |
transcript.pyannote[1844].end |
10781.02971875 |
transcript.pyannote[1845].speaker |
SPEAKER_18 |
transcript.pyannote[1845].start |
10781.14784375 |
transcript.pyannote[1845].end |
10781.18159375 |
transcript.pyannote[1846].speaker |
SPEAKER_34 |
transcript.pyannote[1846].start |
10781.18159375 |
transcript.pyannote[1846].end |
10781.19846875 |
transcript.pyannote[1847].speaker |
SPEAKER_18 |
transcript.pyannote[1847].start |
10781.19846875 |
transcript.pyannote[1847].end |
10782.83534375 |
transcript.pyannote[1848].speaker |
SPEAKER_34 |
transcript.pyannote[1848].start |
10782.83534375 |
transcript.pyannote[1848].end |
10783.88159375 |
transcript.pyannote[1849].speaker |
SPEAKER_18 |
transcript.pyannote[1849].start |
10782.85221875 |
transcript.pyannote[1849].end |
10786.10909375 |
transcript.pyannote[1850].speaker |
SPEAKER_34 |
transcript.pyannote[1850].start |
10787.74596875 |
transcript.pyannote[1850].end |
10789.61909375 |
transcript.pyannote[1851].speaker |
SPEAKER_18 |
transcript.pyannote[1851].start |
10790.19284375 |
transcript.pyannote[1851].end |
10790.20971875 |
transcript.pyannote[1852].speaker |
SPEAKER_34 |
transcript.pyannote[1852].start |
10790.20971875 |
transcript.pyannote[1852].end |
10790.41221875 |
transcript.pyannote[1853].speaker |
SPEAKER_34 |
transcript.pyannote[1853].start |
10790.58096875 |
transcript.pyannote[1853].end |
10794.73221875 |
transcript.pyannote[1854].speaker |
SPEAKER_18 |
transcript.pyannote[1854].start |
10791.15471875 |
transcript.pyannote[1854].end |
10794.68159375 |
transcript.pyannote[1855].speaker |
SPEAKER_34 |
transcript.pyannote[1855].start |
10795.28909375 |
transcript.pyannote[1855].end |
10797.80346875 |
transcript.pyannote[1856].speaker |
SPEAKER_34 |
transcript.pyannote[1856].start |
10798.25909375 |
transcript.pyannote[1856].end |
10800.90846875 |
transcript.pyannote[1857].speaker |
SPEAKER_34 |
transcript.pyannote[1857].start |
10801.44846875 |
transcript.pyannote[1857].end |
10804.55346875 |
transcript.pyannote[1858].speaker |
SPEAKER_34 |
transcript.pyannote[1858].start |
10804.89096875 |
transcript.pyannote[1858].end |
10807.40534375 |
transcript.pyannote[1859].speaker |
SPEAKER_34 |
transcript.pyannote[1859].start |
10807.69221875 |
transcript.pyannote[1859].end |
10813.78409375 |
transcript.pyannote[1860].speaker |
SPEAKER_34 |
transcript.pyannote[1860].start |
10814.99909375 |
transcript.pyannote[1860].end |
10815.79221875 |
transcript.pyannote[1861].speaker |
SPEAKER_34 |
transcript.pyannote[1861].start |
10816.11284375 |
transcript.pyannote[1861].end |
10818.47534375 |
transcript.pyannote[1862].speaker |
SPEAKER_34 |
transcript.pyannote[1862].start |
10819.80846875 |
transcript.pyannote[1862].end |
10822.23846875 |
transcript.pyannote[1863].speaker |
SPEAKER_34 |
transcript.pyannote[1863].start |
10822.69409375 |
transcript.pyannote[1863].end |
10824.31409375 |
transcript.pyannote[1864].speaker |
SPEAKER_34 |
transcript.pyannote[1864].start |
10824.73596875 |
transcript.pyannote[1864].end |
10825.91721875 |
transcript.pyannote[1865].speaker |
SPEAKER_34 |
transcript.pyannote[1865].start |
10825.93409375 |
transcript.pyannote[1865].end |
10827.60471875 |
transcript.pyannote[1866].speaker |
SPEAKER_12 |
transcript.pyannote[1866].start |
10828.34721875 |
transcript.pyannote[1866].end |
10836.12659375 |
transcript.pyannote[1867].speaker |
SPEAKER_34 |
transcript.pyannote[1867].start |
10828.63409375 |
transcript.pyannote[1867].end |
10828.83659375 |
transcript.pyannote[1868].speaker |
SPEAKER_34 |
transcript.pyannote[1868].start |
10835.85659375 |
transcript.pyannote[1868].end |
10836.66659375 |
transcript.pyannote[1869].speaker |
SPEAKER_12 |
transcript.pyannote[1869].start |
10836.16034375 |
transcript.pyannote[1869].end |
10836.26159375 |
transcript.pyannote[1870].speaker |
SPEAKER_12 |
transcript.pyannote[1870].start |
10836.81846875 |
transcript.pyannote[1870].end |
10841.93159375 |
transcript.pyannote[1871].speaker |
SPEAKER_12 |
transcript.pyannote[1871].start |
10842.03284375 |
transcript.pyannote[1871].end |
10844.02409375 |
transcript.pyannote[1872].speaker |
SPEAKER_12 |
transcript.pyannote[1872].start |
10844.42909375 |
transcript.pyannote[1872].end |
10849.57596875 |
transcript.pyannote[1873].speaker |
SPEAKER_12 |
transcript.pyannote[1873].start |
10849.91346875 |
transcript.pyannote[1873].end |
10856.91659375 |
transcript.pyannote[1874].speaker |
SPEAKER_34 |
transcript.pyannote[1874].start |
10856.14034375 |
transcript.pyannote[1874].end |
10858.80659375 |
transcript.pyannote[1875].speaker |
SPEAKER_12 |
transcript.pyannote[1875].start |
10858.62096875 |
transcript.pyannote[1875].end |
10858.78971875 |
transcript.pyannote[1876].speaker |
SPEAKER_12 |
transcript.pyannote[1876].start |
10859.09346875 |
transcript.pyannote[1876].end |
10877.89221875 |
transcript.pyannote[1877].speaker |
SPEAKER_34 |
transcript.pyannote[1877].start |
10876.57596875 |
transcript.pyannote[1877].end |
10880.20409375 |
transcript.pyannote[1878].speaker |
SPEAKER_34 |
transcript.pyannote[1878].start |
10880.74409375 |
transcript.pyannote[1878].end |
10884.52409375 |
transcript.pyannote[1879].speaker |
SPEAKER_34 |
transcript.pyannote[1879].start |
10885.08096875 |
transcript.pyannote[1879].end |
10886.98784375 |
transcript.pyannote[1880].speaker |
SPEAKER_34 |
transcript.pyannote[1880].start |
10887.51096875 |
transcript.pyannote[1880].end |
10891.62846875 |
transcript.pyannote[1881].speaker |
SPEAKER_34 |
transcript.pyannote[1881].start |
10891.71284375 |
transcript.pyannote[1881].end |
10897.28159375 |
transcript.pyannote[1882].speaker |
SPEAKER_30 |
transcript.pyannote[1882].start |
10891.88159375 |
transcript.pyannote[1882].end |
10892.23596875 |
transcript.pyannote[1883].speaker |
SPEAKER_34 |
transcript.pyannote[1883].start |
10897.48409375 |
transcript.pyannote[1883].end |
10900.47096875 |
transcript.pyannote[1884].speaker |
SPEAKER_34 |
transcript.pyannote[1884].start |
10900.90971875 |
transcript.pyannote[1884].end |
10901.58471875 |
transcript.pyannote[1885].speaker |
SPEAKER_34 |
transcript.pyannote[1885].start |
10902.10784375 |
transcript.pyannote[1885].end |
10904.77409375 |
transcript.pyannote[1886].speaker |
SPEAKER_34 |
transcript.pyannote[1886].start |
10905.09471875 |
transcript.pyannote[1886].end |
10922.54346875 |
transcript.pyannote[1887].speaker |
SPEAKER_34 |
transcript.pyannote[1887].start |
10922.88096875 |
transcript.pyannote[1887].end |
10925.04096875 |
transcript.pyannote[1888].speaker |
SPEAKER_34 |
transcript.pyannote[1888].start |
10925.53034375 |
transcript.pyannote[1888].end |
10927.20096875 |
transcript.pyannote[1889].speaker |
SPEAKER_34 |
transcript.pyannote[1889].start |
10927.67346875 |
transcript.pyannote[1889].end |
10930.74471875 |
transcript.pyannote[1890].speaker |
SPEAKER_34 |
transcript.pyannote[1890].start |
10931.11596875 |
transcript.pyannote[1890].end |
10938.25409375 |
transcript.pyannote[1891].speaker |
SPEAKER_34 |
transcript.pyannote[1891].start |
10938.69284375 |
transcript.pyannote[1891].end |
10942.33784375 |
transcript.pyannote[1892].speaker |
SPEAKER_34 |
transcript.pyannote[1892].start |
10942.35471875 |
transcript.pyannote[1892].end |
10942.38846875 |
transcript.pyannote[1893].speaker |
SPEAKER_12 |
transcript.pyannote[1893].start |
10942.38846875 |
transcript.pyannote[1893].end |
10949.72909375 |
transcript.pyannote[1894].speaker |
SPEAKER_34 |
transcript.pyannote[1894].start |
10949.72909375 |
transcript.pyannote[1894].end |
10954.08284375 |
transcript.pyannote[1895].speaker |
SPEAKER_34 |
transcript.pyannote[1895].start |
10954.63971875 |
transcript.pyannote[1895].end |
10954.65659375 |
transcript.pyannote[1896].speaker |
SPEAKER_16 |
transcript.pyannote[1896].start |
10954.65659375 |
transcript.pyannote[1896].end |
10958.62221875 |
transcript.pyannote[1897].speaker |
SPEAKER_34 |
transcript.pyannote[1897].start |
10958.08221875 |
transcript.pyannote[1897].end |
10959.33096875 |
transcript.pyannote[1898].speaker |
SPEAKER_16 |
transcript.pyannote[1898].start |
10959.06096875 |
transcript.pyannote[1898].end |
10959.09471875 |
transcript.pyannote[1899].speaker |
SPEAKER_16 |
transcript.pyannote[1899].start |
10959.12846875 |
transcript.pyannote[1899].end |
10963.93784375 |
transcript.pyannote[1900].speaker |
SPEAKER_34 |
transcript.pyannote[1900].start |
10960.88346875 |
transcript.pyannote[1900].end |
10962.94221875 |
transcript.pyannote[1901].speaker |
SPEAKER_34 |
transcript.pyannote[1901].start |
10964.08971875 |
transcript.pyannote[1901].end |
10968.20721875 |
transcript.pyannote[1902].speaker |
SPEAKER_34 |
transcript.pyannote[1902].start |
10968.67971875 |
transcript.pyannote[1902].end |
10970.78909375 |
transcript.pyannote[1903].speaker |
SPEAKER_16 |
transcript.pyannote[1903].start |
10970.36721875 |
transcript.pyannote[1903].end |
10970.80596875 |
transcript.pyannote[1904].speaker |
SPEAKER_16 |
transcript.pyannote[1904].start |
10971.07596875 |
transcript.pyannote[1904].end |
10971.73409375 |
transcript.pyannote[1905].speaker |
SPEAKER_34 |
transcript.pyannote[1905].start |
10972.07159375 |
transcript.pyannote[1905].end |
10972.44284375 |
transcript.pyannote[1906].speaker |
SPEAKER_34 |
transcript.pyannote[1906].start |
10972.88159375 |
transcript.pyannote[1906].end |
10974.31596875 |
transcript.pyannote[1907].speaker |
SPEAKER_34 |
transcript.pyannote[1907].start |
10974.87284375 |
transcript.pyannote[1907].end |
10978.80471875 |
transcript.pyannote[1908].speaker |
SPEAKER_34 |
transcript.pyannote[1908].start |
10979.56409375 |
transcript.pyannote[1908].end |
10985.95971875 |
transcript.pyannote[1909].speaker |
SPEAKER_34 |
transcript.pyannote[1909].start |
10986.41534375 |
transcript.pyannote[1909].end |
10989.04784375 |
transcript.pyannote[1910].speaker |
SPEAKER_34 |
transcript.pyannote[1910].start |
10989.41909375 |
transcript.pyannote[1910].end |
10990.68471875 |
transcript.pyannote[1911].speaker |
SPEAKER_34 |
transcript.pyannote[1911].start |
10991.17409375 |
transcript.pyannote[1911].end |
10994.80221875 |
transcript.pyannote[1912].speaker |
SPEAKER_34 |
transcript.pyannote[1912].start |
10994.97096875 |
transcript.pyannote[1912].end |
10997.92409375 |
transcript.pyannote[1913].speaker |
SPEAKER_34 |
transcript.pyannote[1913].start |
10998.29534375 |
transcript.pyannote[1913].end |
11011.87971875 |
transcript.pyannote[1914].speaker |
SPEAKER_17 |
transcript.pyannote[1914].start |
11002.10909375 |
transcript.pyannote[1914].end |
11002.34534375 |
transcript.pyannote[1915].speaker |
SPEAKER_17 |
transcript.pyannote[1915].start |
11003.94846875 |
transcript.pyannote[1915].end |
11004.10034375 |
transcript.pyannote[1916].speaker |
SPEAKER_17 |
transcript.pyannote[1916].start |
11004.70784375 |
transcript.pyannote[1916].end |
11004.75846875 |
transcript.pyannote[1917].speaker |
SPEAKER_18 |
transcript.pyannote[1917].start |
11004.75846875 |
transcript.pyannote[1917].end |
11004.77534375 |
transcript.pyannote[1918].speaker |
SPEAKER_17 |
transcript.pyannote[1918].start |
11004.77534375 |
transcript.pyannote[1918].end |
11004.82596875 |
transcript.pyannote[1919].speaker |
SPEAKER_18 |
transcript.pyannote[1919].start |
11004.82596875 |
transcript.pyannote[1919].end |
11004.84284375 |
transcript.pyannote[1920].speaker |
SPEAKER_17 |
transcript.pyannote[1920].start |
11004.84284375 |
transcript.pyannote[1920].end |
11004.94409375 |
transcript.pyannote[1921].speaker |
SPEAKER_34 |
transcript.pyannote[1921].start |
11012.45346875 |
transcript.pyannote[1921].end |
11013.53346875 |
transcript.pyannote[1922].speaker |
SPEAKER_34 |
transcript.pyannote[1922].start |
11013.63471875 |
transcript.pyannote[1922].end |
11013.92159375 |
transcript.pyannote[1923].speaker |
SPEAKER_34 |
transcript.pyannote[1923].start |
11014.41096875 |
transcript.pyannote[1923].end |
11018.61284375 |
transcript.pyannote[1924].speaker |
SPEAKER_34 |
transcript.pyannote[1924].start |
11019.08534375 |
transcript.pyannote[1924].end |
11020.85721875 |
transcript.pyannote[1925].speaker |
SPEAKER_34 |
transcript.pyannote[1925].start |
11021.70096875 |
transcript.pyannote[1925].end |
11023.87784375 |
transcript.pyannote[1926].speaker |
SPEAKER_34 |
transcript.pyannote[1926].start |
11024.33346875 |
transcript.pyannote[1926].end |
11031.91034375 |
transcript.pyannote[1927].speaker |
SPEAKER_31 |
transcript.pyannote[1927].start |
11027.75909375 |
transcript.pyannote[1927].end |
11028.45096875 |
transcript.pyannote[1928].speaker |
SPEAKER_18 |
transcript.pyannote[1928].start |
11028.45096875 |
transcript.pyannote[1928].end |
11028.82221875 |
transcript.pyannote[1929].speaker |
SPEAKER_31 |
transcript.pyannote[1929].start |
11030.07096875 |
transcript.pyannote[1929].end |
11031.37034375 |
transcript.pyannote[1930].speaker |
SPEAKER_31 |
transcript.pyannote[1930].start |
11031.91034375 |
transcript.pyannote[1930].end |
11031.92721875 |
transcript.pyannote[1931].speaker |
SPEAKER_34 |
transcript.pyannote[1931].start |
11031.92721875 |
transcript.pyannote[1931].end |
11031.94409375 |
transcript.pyannote[1932].speaker |
SPEAKER_34 |
transcript.pyannote[1932].start |
11032.09596875 |
transcript.pyannote[1932].end |
11034.34034375 |
transcript.pyannote[1933].speaker |
SPEAKER_27 |
transcript.pyannote[1933].start |
11035.20096875 |
transcript.pyannote[1933].end |
11038.82909375 |
transcript.pyannote[1934].speaker |
SPEAKER_34 |
transcript.pyannote[1934].start |
11038.55909375 |
transcript.pyannote[1934].end |
11040.75284375 |
transcript.pyannote[1935].speaker |
SPEAKER_27 |
transcript.pyannote[1935].start |
11040.24659375 |
transcript.pyannote[1935].end |
11043.26721875 |
transcript.pyannote[1936].speaker |
SPEAKER_27 |
transcript.pyannote[1936].start |
11043.41909375 |
transcript.pyannote[1936].end |
11049.37596875 |
transcript.pyannote[1937].speaker |
SPEAKER_34 |
transcript.pyannote[1937].start |
11049.34221875 |
transcript.pyannote[1937].end |
11050.64159375 |
transcript.pyannote[1938].speaker |
SPEAKER_34 |
transcript.pyannote[1938].start |
11050.96221875 |
transcript.pyannote[1938].end |
11052.81846875 |
transcript.pyannote[1939].speaker |
SPEAKER_34 |
transcript.pyannote[1939].start |
11053.49346875 |
transcript.pyannote[1939].end |
11055.41721875 |
transcript.pyannote[1940].speaker |
SPEAKER_34 |
transcript.pyannote[1940].start |
11056.34534375 |
transcript.pyannote[1940].end |
11057.35784375 |
transcript.pyannote[1941].speaker |
SPEAKER_34 |
transcript.pyannote[1941].start |
11058.50534375 |
transcript.pyannote[1941].end |
11060.54721875 |
transcript.pyannote[1942].speaker |
SPEAKER_34 |
transcript.pyannote[1942].start |
11061.44159375 |
transcript.pyannote[1942].end |
11062.52159375 |
transcript.pyannote[1943].speaker |
SPEAKER_34 |
transcript.pyannote[1943].start |
11063.33159375 |
transcript.pyannote[1943].end |
11064.58034375 |
transcript.pyannote[1944].speaker |
SPEAKER_34 |
transcript.pyannote[1944].start |
11064.74909375 |
transcript.pyannote[1944].end |
11065.28909375 |
transcript.pyannote[1945].speaker |
SPEAKER_34 |
transcript.pyannote[1945].start |
11065.54221875 |
transcript.pyannote[1945].end |
11069.17034375 |
transcript.pyannote[1946].speaker |
SPEAKER_34 |
transcript.pyannote[1946].start |
11069.25471875 |
transcript.pyannote[1946].end |
11070.87471875 |
transcript.pyannote[1947].speaker |
SPEAKER_34 |
transcript.pyannote[1947].start |
11071.46534375 |
transcript.pyannote[1947].end |
11073.55784375 |
transcript.pyannote[1948].speaker |
SPEAKER_34 |
transcript.pyannote[1948].start |
11074.01346875 |
transcript.pyannote[1948].end |
11074.62096875 |
transcript.pyannote[1949].speaker |
SPEAKER_34 |
transcript.pyannote[1949].start |
11075.05971875 |
transcript.pyannote[1949].end |
11075.81909375 |
transcript.pyannote[1950].speaker |
SPEAKER_34 |
transcript.pyannote[1950].start |
11076.29159375 |
transcript.pyannote[1950].end |
11079.78471875 |
transcript.pyannote[1951].speaker |
SPEAKER_34 |
transcript.pyannote[1951].start |
11080.27409375 |
transcript.pyannote[1951].end |
11083.56471875 |
transcript.pyannote[1952].speaker |
SPEAKER_34 |
transcript.pyannote[1952].start |
11085.43784375 |
transcript.pyannote[1952].end |
11086.46721875 |
transcript.pyannote[1953].speaker |
SPEAKER_34 |
transcript.pyannote[1953].start |
11086.55159375 |
transcript.pyannote[1953].end |
11088.05346875 |
transcript.pyannote[1954].speaker |
SPEAKER_34 |
transcript.pyannote[1954].start |
11089.60596875 |
transcript.pyannote[1954].end |
11091.42846875 |
transcript.pyannote[1955].speaker |
SPEAKER_34 |
transcript.pyannote[1955].start |
11092.33971875 |
transcript.pyannote[1955].end |
11095.37721875 |
transcript.pyannote[1956].speaker |
SPEAKER_34 |
transcript.pyannote[1956].start |
11096.10284375 |
transcript.pyannote[1956].end |
11100.54096875 |
transcript.pyannote[1957].speaker |
SPEAKER_34 |
transcript.pyannote[1957].start |
11101.63784375 |
transcript.pyannote[1957].end |
11104.57409375 |
transcript.pyannote[1958].speaker |
SPEAKER_18 |
transcript.pyannote[1958].start |
11102.04284375 |
transcript.pyannote[1958].end |
11106.61596875 |
transcript.pyannote[1959].speaker |
SPEAKER_18 |
transcript.pyannote[1959].start |
11107.03784375 |
transcript.pyannote[1959].end |
11107.05471875 |
transcript.pyannote[1960].speaker |
SPEAKER_18 |
transcript.pyannote[1960].start |
11107.07159375 |
transcript.pyannote[1960].end |
11110.31159375 |
transcript.pyannote[1961].speaker |
SPEAKER_34 |
transcript.pyannote[1961].start |
11107.98284375 |
transcript.pyannote[1961].end |
11108.64096875 |
transcript.pyannote[1962].speaker |
SPEAKER_34 |
transcript.pyannote[1962].start |
11109.61971875 |
transcript.pyannote[1962].end |
11111.91471875 |
transcript.pyannote[1963].speaker |
SPEAKER_17 |
transcript.pyannote[1963].start |
11111.07096875 |
transcript.pyannote[1963].end |
11111.47596875 |
transcript.pyannote[1964].speaker |
SPEAKER_34 |
transcript.pyannote[1964].start |
11112.74159375 |
transcript.pyannote[1964].end |
11116.38659375 |
transcript.pyannote[1965].speaker |
SPEAKER_34 |
transcript.pyannote[1965].start |
11117.02784375 |
transcript.pyannote[1965].end |
11120.20034375 |
transcript.pyannote[1966].speaker |
SPEAKER_34 |
transcript.pyannote[1966].start |
11120.72346875 |
transcript.pyannote[1966].end |
11122.14096875 |
transcript.pyannote[1967].speaker |
SPEAKER_34 |
transcript.pyannote[1967].start |
11122.32659375 |
transcript.pyannote[1967].end |
11122.66409375 |
transcript.pyannote[1968].speaker |
SPEAKER_34 |
transcript.pyannote[1968].start |
11123.18721875 |
transcript.pyannote[1968].end |
11123.91284375 |
transcript.pyannote[1969].speaker |
SPEAKER_34 |
transcript.pyannote[1969].start |
11124.75659375 |
transcript.pyannote[1969].end |
11126.12346875 |
transcript.pyannote[1970].speaker |
SPEAKER_34 |
transcript.pyannote[1970].start |
11127.08534375 |
transcript.pyannote[1970].end |
11127.50721875 |
transcript.pyannote[1971].speaker |
SPEAKER_34 |
transcript.pyannote[1971].start |
11127.91221875 |
transcript.pyannote[1971].end |
11129.29596875 |
transcript.pyannote[1972].speaker |
SPEAKER_34 |
transcript.pyannote[1972].start |
11129.98784375 |
transcript.pyannote[1972].end |
11133.64971875 |
transcript.pyannote[1973].speaker |
SPEAKER_34 |
transcript.pyannote[1973].start |
11134.37534375 |
transcript.pyannote[1973].end |
11135.97846875 |
transcript.pyannote[1974].speaker |
SPEAKER_34 |
transcript.pyannote[1974].start |
11136.67034375 |
transcript.pyannote[1974].end |
11137.19346875 |
transcript.pyannote[1975].speaker |
SPEAKER_34 |
transcript.pyannote[1975].start |
11137.51409375 |
transcript.pyannote[1975].end |
11140.23096875 |
transcript.pyannote[1976].speaker |
SPEAKER_34 |
transcript.pyannote[1976].start |
11140.78784375 |
transcript.pyannote[1976].end |
11141.41221875 |
transcript.pyannote[1977].speaker |
SPEAKER_34 |
transcript.pyannote[1977].start |
11141.51346875 |
transcript.pyannote[1977].end |
11142.74534375 |
transcript.pyannote[1978].speaker |
SPEAKER_34 |
transcript.pyannote[1978].start |
11142.81284375 |
transcript.pyannote[1978].end |
11144.80409375 |
transcript.pyannote[1979].speaker |
SPEAKER_34 |
transcript.pyannote[1979].start |
11146.06971875 |
transcript.pyannote[1979].end |
11149.41096875 |
transcript.pyannote[1980].speaker |
SPEAKER_34 |
transcript.pyannote[1980].start |
11150.08596875 |
transcript.pyannote[1980].end |
11152.51596875 |
transcript.pyannote[1981].speaker |
SPEAKER_34 |
transcript.pyannote[1981].start |
11153.02221875 |
transcript.pyannote[1981].end |
11156.32971875 |
transcript.pyannote[1982].speaker |
SPEAKER_18 |
transcript.pyannote[1982].start |
11154.97971875 |
transcript.pyannote[1982].end |
11155.67159375 |
transcript.pyannote[1983].speaker |
SPEAKER_18 |
transcript.pyannote[1983].start |
11156.32971875 |
transcript.pyannote[1983].end |
11157.59534375 |
transcript.pyannote[1984].speaker |
SPEAKER_34 |
transcript.pyannote[1984].start |
11156.88659375 |
transcript.pyannote[1984].end |
11162.08409375 |
transcript.pyannote[1985].speaker |
SPEAKER_31 |
transcript.pyannote[1985].start |
11162.08409375 |
transcript.pyannote[1985].end |
11162.42159375 |
transcript.pyannote[1986].speaker |
SPEAKER_34 |
transcript.pyannote[1986].start |
11162.70846875 |
transcript.pyannote[1986].end |
11164.15971875 |
transcript.pyannote[1987].speaker |
SPEAKER_34 |
transcript.pyannote[1987].start |
11164.46346875 |
transcript.pyannote[1987].end |
11170.57221875 |
transcript.pyannote[1988].speaker |
SPEAKER_34 |
transcript.pyannote[1988].start |
11170.90971875 |
transcript.pyannote[1988].end |
11172.22596875 |
transcript.pyannote[1989].speaker |
SPEAKER_34 |
transcript.pyannote[1989].start |
11173.23846875 |
transcript.pyannote[1989].end |
11174.21721875 |
transcript.pyannote[1990].speaker |
SPEAKER_34 |
transcript.pyannote[1990].start |
11174.74034375 |
transcript.pyannote[1990].end |
11176.54596875 |
transcript.pyannote[1991].speaker |
SPEAKER_10 |
transcript.pyannote[1991].start |
11175.41534375 |
transcript.pyannote[1991].end |
11175.46596875 |
transcript.pyannote[1992].speaker |
SPEAKER_03 |
transcript.pyannote[1992].start |
11175.46596875 |
transcript.pyannote[1992].end |
11175.82034375 |
transcript.pyannote[1993].speaker |
SPEAKER_10 |
transcript.pyannote[1993].start |
11175.82034375 |
transcript.pyannote[1993].end |
11175.85409375 |
transcript.pyannote[1994].speaker |
SPEAKER_30 |
transcript.pyannote[1994].start |
11176.96784375 |
transcript.pyannote[1994].end |
11176.98471875 |
transcript.pyannote[1995].speaker |
SPEAKER_03 |
transcript.pyannote[1995].start |
11176.98471875 |
transcript.pyannote[1995].end |
11177.03534375 |
transcript.pyannote[1996].speaker |
SPEAKER_34 |
transcript.pyannote[1996].start |
11177.82846875 |
transcript.pyannote[1996].end |
11179.17846875 |
transcript.pyannote[1997].speaker |
SPEAKER_34 |
transcript.pyannote[1997].start |
11180.07284375 |
transcript.pyannote[1997].end |
11183.04284375 |
transcript.pyannote[1998].speaker |
SPEAKER_34 |
transcript.pyannote[1998].start |
11183.80221875 |
transcript.pyannote[1998].end |
11185.45596875 |
transcript.pyannote[1999].speaker |
SPEAKER_34 |
transcript.pyannote[1999].start |
11186.35034375 |
transcript.pyannote[1999].end |
11187.71721875 |
transcript.pyannote[2000].speaker |
SPEAKER_34 |
transcript.pyannote[2000].start |
11187.80159375 |
transcript.pyannote[2000].end |
11191.31159375 |
transcript.pyannote[2001].speaker |
SPEAKER_34 |
transcript.pyannote[2001].start |
11191.69971875 |
transcript.pyannote[2001].end |
11193.10034375 |
transcript.pyannote[2002].speaker |
SPEAKER_34 |
transcript.pyannote[2002].start |
11193.74159375 |
transcript.pyannote[2002].end |
11197.69034375 |
transcript.pyannote[2003].speaker |
SPEAKER_34 |
transcript.pyannote[2003].start |
11198.19659375 |
transcript.pyannote[2003].end |
11200.87971875 |
transcript.pyannote[2004].speaker |
SPEAKER_34 |
transcript.pyannote[2004].start |
11200.99784375 |
transcript.pyannote[2004].end |
11210.22846875 |
transcript.pyannote[2005].speaker |
SPEAKER_04 |
transcript.pyannote[2005].start |
11210.78534375 |
transcript.pyannote[2005].end |
11212.03409375 |
transcript.pyannote[2006].speaker |
SPEAKER_04 |
transcript.pyannote[2006].start |
11213.19846875 |
transcript.pyannote[2006].end |
11232.03096875 |
transcript.pyannote[2007].speaker |
SPEAKER_04 |
transcript.pyannote[2007].start |
11232.46971875 |
transcript.pyannote[2007].end |
11235.94596875 |
transcript.pyannote[2008].speaker |
SPEAKER_23 |
transcript.pyannote[2008].start |
11244.19784375 |
transcript.pyannote[2008].end |
11248.01159375 |
transcript.pyannote[2009].speaker |
SPEAKER_23 |
transcript.pyannote[2009].start |
11255.48721875 |
transcript.pyannote[2009].end |
11256.44909375 |
transcript.pyannote[2010].speaker |
SPEAKER_16 |
transcript.pyannote[2010].start |
11256.44909375 |
transcript.pyannote[2010].end |
11256.58409375 |
transcript.pyannote[2011].speaker |
SPEAKER_23 |
transcript.pyannote[2011].start |
11256.58409375 |
transcript.pyannote[2011].end |
11266.08471875 |
transcript.pyannote[2012].speaker |
SPEAKER_18 |
transcript.pyannote[2012].start |
11266.23659375 |
transcript.pyannote[2012].end |
11271.95721875 |
transcript.pyannote[2013].speaker |
SPEAKER_23 |
transcript.pyannote[2013].start |
11267.31659375 |
transcript.pyannote[2013].end |
11268.24471875 |
transcript.pyannote[2014].speaker |
SPEAKER_23 |
transcript.pyannote[2014].start |
11271.75471875 |
transcript.pyannote[2014].end |
11281.94721875 |
transcript.pyannote[2015].speaker |
SPEAKER_18 |
transcript.pyannote[2015].start |
11282.90909375 |
transcript.pyannote[2015].end |
11290.57034375 |
transcript.pyannote[2016].speaker |
SPEAKER_23 |
transcript.pyannote[2016].start |
11287.17846875 |
transcript.pyannote[2016].end |
11287.24596875 |
transcript.pyannote[2017].speaker |
SPEAKER_23 |
transcript.pyannote[2017].start |
11287.26284375 |
transcript.pyannote[2017].end |
11287.43159375 |
transcript.pyannote[2018].speaker |
SPEAKER_23 |
transcript.pyannote[2018].start |
11290.67159375 |
transcript.pyannote[2018].end |
11343.45659375 |
transcript.pyannote[2019].speaker |
SPEAKER_23 |
transcript.pyannote[2019].start |
11344.04721875 |
transcript.pyannote[2019].end |
11345.12721875 |
transcript.pyannote[2020].speaker |
SPEAKER_23 |
transcript.pyannote[2020].start |
11345.34659375 |
transcript.pyannote[2020].end |
11358.00284375 |
transcript.pyannote[2021].speaker |
SPEAKER_23 |
transcript.pyannote[2021].start |
11358.66096875 |
transcript.pyannote[2021].end |
11375.50221875 |
transcript.pyannote[2022].speaker |
SPEAKER_18 |
transcript.pyannote[2022].start |
11375.95784375 |
transcript.pyannote[2022].end |
11381.39159375 |
transcript.pyannote[2023].speaker |
SPEAKER_23 |
transcript.pyannote[2023].start |
11377.45971875 |
transcript.pyannote[2023].end |
11377.76346875 |
transcript.pyannote[2024].speaker |
SPEAKER_23 |
transcript.pyannote[2024].start |
11381.57721875 |
transcript.pyannote[2024].end |
11382.23534375 |
transcript.pyannote[2025].speaker |
SPEAKER_23 |
transcript.pyannote[2025].start |
11382.58971875 |
transcript.pyannote[2025].end |
11385.72846875 |
transcript.pyannote[2026].speaker |
SPEAKER_18 |
transcript.pyannote[2026].start |
11386.08284375 |
transcript.pyannote[2026].end |
11410.90596875 |
transcript.pyannote[2027].speaker |
SPEAKER_17 |
transcript.pyannote[2027].start |
11393.99721875 |
transcript.pyannote[2027].end |
11394.13221875 |
transcript.pyannote[2028].speaker |
SPEAKER_00 |
transcript.pyannote[2028].start |
11404.39221875 |
transcript.pyannote[2028].end |
11404.47659375 |
transcript.pyannote[2029].speaker |
SPEAKER_23 |
transcript.pyannote[2029].start |
11404.47659375 |
transcript.pyannote[2029].end |
11404.71284375 |
transcript.pyannote[2030].speaker |
SPEAKER_23 |
transcript.pyannote[2030].start |
11411.19284375 |
transcript.pyannote[2030].end |
11420.11971875 |
transcript.pyannote[2031].speaker |
SPEAKER_23 |
transcript.pyannote[2031].start |
11420.15346875 |
transcript.pyannote[2031].end |
11422.85346875 |
transcript.pyannote[2032].speaker |
SPEAKER_23 |
transcript.pyannote[2032].start |
11423.52846875 |
transcript.pyannote[2032].end |
11426.07659375 |
transcript.pyannote[2033].speaker |
SPEAKER_23 |
transcript.pyannote[2033].start |
11426.32971875 |
transcript.pyannote[2033].end |
11427.73034375 |
transcript.pyannote[2034].speaker |
SPEAKER_23 |
transcript.pyannote[2034].start |
11428.06784375 |
transcript.pyannote[2034].end |
11428.37159375 |
transcript.pyannote[2035].speaker |
SPEAKER_23 |
transcript.pyannote[2035].start |
11428.75971875 |
transcript.pyannote[2035].end |
11433.99096875 |
transcript.pyannote[2036].speaker |
SPEAKER_18 |
transcript.pyannote[2036].start |
11433.99096875 |
transcript.pyannote[2036].end |
11434.80096875 |
transcript.pyannote[2037].speaker |
SPEAKER_23 |
transcript.pyannote[2037].start |
11434.49721875 |
transcript.pyannote[2037].end |
11438.61471875 |
transcript.pyannote[2038].speaker |
SPEAKER_18 |
transcript.pyannote[2038].start |
11438.10846875 |
transcript.pyannote[2038].end |
11450.27534375 |
transcript.pyannote[2039].speaker |
SPEAKER_23 |
transcript.pyannote[2039].start |
11440.63971875 |
transcript.pyannote[2039].end |
11440.72409375 |
transcript.pyannote[2040].speaker |
SPEAKER_23 |
transcript.pyannote[2040].start |
11444.65596875 |
transcript.pyannote[2040].end |
11445.12846875 |
transcript.pyannote[2041].speaker |
SPEAKER_23 |
transcript.pyannote[2041].start |
11447.50784375 |
transcript.pyannote[2041].end |
11448.55409375 |
transcript.pyannote[2042].speaker |
SPEAKER_23 |
transcript.pyannote[2042].start |
11450.22471875 |
transcript.pyannote[2042].end |
11452.28346875 |
transcript.pyannote[2043].speaker |
SPEAKER_18 |
transcript.pyannote[2043].start |
11452.43534375 |
transcript.pyannote[2043].end |
11463.96096875 |
transcript.pyannote[2044].speaker |
SPEAKER_23 |
transcript.pyannote[2044].start |
11463.72471875 |
transcript.pyannote[2044].end |
11467.26846875 |
transcript.pyannote[2045].speaker |
SPEAKER_23 |
transcript.pyannote[2045].start |
11467.55534375 |
transcript.pyannote[2045].end |
11470.01909375 |
transcript.pyannote[2046].speaker |
SPEAKER_23 |
transcript.pyannote[2046].start |
11470.22159375 |
transcript.pyannote[2046].end |
11483.77221875 |
transcript.pyannote[2047].speaker |
SPEAKER_23 |
transcript.pyannote[2047].start |
11483.95784375 |
transcript.pyannote[2047].end |
11492.69909375 |
transcript.pyannote[2048].speaker |
SPEAKER_18 |
transcript.pyannote[2048].start |
11494.06596875 |
transcript.pyannote[2048].end |
11512.79721875 |
transcript.pyannote[2049].speaker |
SPEAKER_23 |
transcript.pyannote[2049].start |
11513.23596875 |
transcript.pyannote[2049].end |
11527.93409375 |
transcript.pyannote[2050].speaker |
SPEAKER_23 |
transcript.pyannote[2050].start |
11528.06909375 |
transcript.pyannote[2050].end |
11541.51846875 |
transcript.pyannote[2051].speaker |
SPEAKER_23 |
transcript.pyannote[2051].start |
11542.02471875 |
transcript.pyannote[2051].end |
11548.42034375 |
transcript.pyannote[2052].speaker |
SPEAKER_23 |
transcript.pyannote[2052].start |
11548.63971875 |
transcript.pyannote[2052].end |
11556.33471875 |
transcript.pyannote[2053].speaker |
SPEAKER_23 |
transcript.pyannote[2053].start |
11556.62159375 |
transcript.pyannote[2053].end |
11563.33784375 |
transcript.pyannote[2054].speaker |
SPEAKER_23 |
transcript.pyannote[2054].start |
11564.14784375 |
transcript.pyannote[2054].end |
11590.70909375 |
transcript.pyannote[2055].speaker |
SPEAKER_23 |
transcript.pyannote[2055].start |
11591.11409375 |
transcript.pyannote[2055].end |
11596.88534375 |
transcript.pyannote[2056].speaker |
SPEAKER_23 |
transcript.pyannote[2056].start |
11597.07096875 |
transcript.pyannote[2056].end |
11610.92534375 |
transcript.pyannote[2057].speaker |
SPEAKER_23 |
transcript.pyannote[2057].start |
11611.90409375 |
transcript.pyannote[2057].end |
11614.43534375 |
transcript.pyannote[2058].speaker |
SPEAKER_18 |
transcript.pyannote[2058].start |
11614.06409375 |
transcript.pyannote[2058].end |
11620.93221875 |
transcript.pyannote[2059].speaker |
SPEAKER_23 |
transcript.pyannote[2059].start |
11619.68346875 |
transcript.pyannote[2059].end |
11622.46784375 |
transcript.pyannote[2060].speaker |
SPEAKER_18 |
transcript.pyannote[2060].start |
11621.75909375 |
transcript.pyannote[2060].end |
11626.09596875 |
transcript.pyannote[2061].speaker |
SPEAKER_23 |
transcript.pyannote[2061].start |
11626.14659375 |
transcript.pyannote[2061].end |
11627.58096875 |
transcript.pyannote[2062].speaker |
SPEAKER_18 |
transcript.pyannote[2062].start |
11626.21409375 |
transcript.pyannote[2062].end |
11631.69846875 |
transcript.pyannote[2063].speaker |
SPEAKER_23 |
transcript.pyannote[2063].start |
11628.22221875 |
transcript.pyannote[2063].end |
11628.77909375 |
transcript.pyannote[2064].speaker |
SPEAKER_23 |
transcript.pyannote[2064].start |
11631.34409375 |
transcript.pyannote[2064].end |
11632.25534375 |
transcript.pyannote[2065].speaker |
SPEAKER_18 |
transcript.pyannote[2065].start |
11632.96409375 |
transcript.pyannote[2065].end |
11633.95971875 |
transcript.pyannote[2066].speaker |
SPEAKER_18 |
transcript.pyannote[2066].start |
11634.70221875 |
transcript.pyannote[2066].end |
11635.90034375 |
transcript.pyannote[2067].speaker |
SPEAKER_18 |
transcript.pyannote[2067].start |
11635.93409375 |
transcript.pyannote[2067].end |
11641.18221875 |
transcript.pyannote[2068].speaker |
SPEAKER_23 |
transcript.pyannote[2068].start |
11641.19909375 |
transcript.pyannote[2068].end |
11661.33096875 |
transcript.pyannote[2069].speaker |
SPEAKER_23 |
transcript.pyannote[2069].start |
11661.76971875 |
transcript.pyannote[2069].end |
11687.87534375 |
transcript.pyannote[2070].speaker |
SPEAKER_23 |
transcript.pyannote[2070].start |
11688.28034375 |
transcript.pyannote[2070].end |
11691.21659375 |
transcript.pyannote[2071].speaker |
SPEAKER_23 |
transcript.pyannote[2071].start |
11691.53721875 |
transcript.pyannote[2071].end |
11694.99659375 |
transcript.pyannote[2072].speaker |
SPEAKER_23 |
transcript.pyannote[2072].start |
11695.72221875 |
transcript.pyannote[2072].end |
11696.71784375 |
transcript.pyannote[2073].speaker |
SPEAKER_27 |
transcript.pyannote[2073].start |
11698.13534375 |
transcript.pyannote[2073].end |
11730.21471875 |
transcript.pyannote[2074].speaker |
SPEAKER_23 |
transcript.pyannote[2074].start |
11729.75909375 |
transcript.pyannote[2074].end |
11735.22659375 |
transcript.pyannote[2075].speaker |
SPEAKER_27 |
transcript.pyannote[2075].start |
11730.48471875 |
transcript.pyannote[2075].end |
11732.98221875 |
transcript.pyannote[2076].speaker |
SPEAKER_27 |
transcript.pyannote[2076].start |
11735.78346875 |
transcript.pyannote[2076].end |
11790.82971875 |
transcript.pyannote[2077].speaker |
SPEAKER_23 |
transcript.pyannote[2077].start |
11790.20534375 |
transcript.pyannote[2077].end |
11810.99534375 |
transcript.pyannote[2078].speaker |
SPEAKER_00 |
transcript.pyannote[2078].start |
11804.71784375 |
transcript.pyannote[2078].end |
11805.10596875 |
transcript.pyannote[2079].speaker |
SPEAKER_23 |
transcript.pyannote[2079].start |
11811.38346875 |
transcript.pyannote[2079].end |
11818.45409375 |
transcript.pyannote[2080].speaker |
SPEAKER_30 |
transcript.pyannote[2080].start |
11818.45409375 |
transcript.pyannote[2080].end |
11818.69034375 |
transcript.pyannote[2081].speaker |
SPEAKER_23 |
transcript.pyannote[2081].start |
11818.69034375 |
transcript.pyannote[2081].end |
11826.18284375 |
transcript.pyannote[2082].speaker |
SPEAKER_18 |
transcript.pyannote[2082].start |
11824.64721875 |
transcript.pyannote[2082].end |
11824.86659375 |
transcript.pyannote[2083].speaker |
SPEAKER_18 |
transcript.pyannote[2083].start |
11826.33471875 |
transcript.pyannote[2083].end |
11842.18034375 |
transcript.pyannote[2084].speaker |
SPEAKER_23 |
transcript.pyannote[2084].start |
11842.18034375 |
transcript.pyannote[2084].end |
11844.15471875 |
transcript.pyannote[2085].speaker |
SPEAKER_18 |
transcript.pyannote[2085].start |
11843.74971875 |
transcript.pyannote[2085].end |
11844.03659375 |
transcript.pyannote[2086].speaker |
SPEAKER_04 |
transcript.pyannote[2086].start |
11846.71971875 |
transcript.pyannote[2086].end |
11851.09034375 |
transcript.pyannote[2087].speaker |
SPEAKER_28 |
transcript.pyannote[2087].start |
11864.13471875 |
transcript.pyannote[2087].end |
11867.62784375 |
transcript.pyannote[2088].speaker |
SPEAKER_04 |
transcript.pyannote[2088].start |
11867.62784375 |
transcript.pyannote[2088].end |
11868.13409375 |
transcript.pyannote[2089].speaker |
SPEAKER_28 |
transcript.pyannote[2089].start |
11868.13409375 |
transcript.pyannote[2089].end |
11868.99471875 |
transcript.pyannote[2090].speaker |
SPEAKER_28 |
transcript.pyannote[2090].start |
11870.39534375 |
transcript.pyannote[2090].end |
11872.55534375 |
transcript.pyannote[2091].speaker |
SPEAKER_04 |
transcript.pyannote[2091].start |
11873.26409375 |
transcript.pyannote[2091].end |
11875.49159375 |
transcript.pyannote[2092].speaker |
SPEAKER_28 |
transcript.pyannote[2092].start |
11874.22596875 |
transcript.pyannote[2092].end |
11876.38596875 |
transcript.pyannote[2093].speaker |
SPEAKER_04 |
transcript.pyannote[2093].start |
11878.47846875 |
transcript.pyannote[2093].end |
11879.00159375 |
transcript.pyannote[2094].speaker |
SPEAKER_28 |
transcript.pyannote[2094].start |
11881.85346875 |
transcript.pyannote[2094].end |
11885.70096875 |
transcript.pyannote[2095].speaker |
SPEAKER_28 |
transcript.pyannote[2095].start |
11885.81909375 |
transcript.pyannote[2095].end |
11888.70471875 |
transcript.pyannote[2096].speaker |
SPEAKER_28 |
transcript.pyannote[2096].start |
11889.31221875 |
transcript.pyannote[2096].end |
11893.02471875 |
transcript.pyannote[2097].speaker |
SPEAKER_18 |
transcript.pyannote[2097].start |
11893.02471875 |
transcript.pyannote[2097].end |
11893.36221875 |
transcript.pyannote[2098].speaker |
SPEAKER_18 |
transcript.pyannote[2098].start |
11894.05409375 |
transcript.pyannote[2098].end |
11895.33659375 |
transcript.pyannote[2099].speaker |
SPEAKER_18 |
transcript.pyannote[2099].start |
11895.64034375 |
transcript.pyannote[2099].end |
11916.70034375 |
transcript.pyannote[2100].speaker |
SPEAKER_18 |
transcript.pyannote[2100].start |
11917.47659375 |
transcript.pyannote[2100].end |
11922.60659375 |
transcript.pyannote[2101].speaker |
SPEAKER_43 |
transcript.pyannote[2101].start |
11922.04971875 |
transcript.pyannote[2101].end |
11948.17221875 |
transcript.pyannote[2102].speaker |
SPEAKER_18 |
transcript.pyannote[2102].start |
11928.83346875 |
transcript.pyannote[2102].end |
11928.96846875 |
transcript.pyannote[2103].speaker |
SPEAKER_28 |
transcript.pyannote[2103].start |
11947.26096875 |
transcript.pyannote[2103].end |
11951.39534375 |
transcript.pyannote[2104].speaker |
SPEAKER_43 |
transcript.pyannote[2104].start |
11951.34471875 |
transcript.pyannote[2104].end |
11952.44159375 |
transcript.pyannote[2105].speaker |
SPEAKER_28 |
transcript.pyannote[2105].start |
11952.44159375 |
transcript.pyannote[2105].end |
11954.82096875 |
transcript.pyannote[2106].speaker |
SPEAKER_43 |
transcript.pyannote[2106].start |
11952.59346875 |
transcript.pyannote[2106].end |
11952.88034375 |
transcript.pyannote[2107].speaker |
SPEAKER_43 |
transcript.pyannote[2107].start |
11954.95596875 |
transcript.pyannote[2107].end |
11961.40221875 |
transcript.pyannote[2108].speaker |
SPEAKER_18 |
transcript.pyannote[2108].start |
11961.40221875 |
transcript.pyannote[2108].end |
11966.17784375 |
transcript.pyannote[2109].speaker |
SPEAKER_18 |
transcript.pyannote[2109].start |
11966.26221875 |
transcript.pyannote[2109].end |
11967.08909375 |
transcript.pyannote[2110].speaker |
SPEAKER_18 |
transcript.pyannote[2110].start |
11967.22409375 |
transcript.pyannote[2110].end |
11967.29159375 |
transcript.pyannote[2111].speaker |
SPEAKER_18 |
transcript.pyannote[2111].start |
11967.34221875 |
transcript.pyannote[2111].end |
11967.96659375 |
transcript.pyannote[2112].speaker |
SPEAKER_28 |
transcript.pyannote[2112].start |
11967.96659375 |
transcript.pyannote[2112].end |
11969.29971875 |
transcript.pyannote[2113].speaker |
SPEAKER_28 |
transcript.pyannote[2113].start |
11970.41346875 |
transcript.pyannote[2113].end |
11971.35846875 |
transcript.pyannote[2114].speaker |
SPEAKER_43 |
transcript.pyannote[2114].start |
11973.36659375 |
transcript.pyannote[2114].end |
11973.90659375 |
transcript.pyannote[2115].speaker |
SPEAKER_43 |
transcript.pyannote[2115].start |
11973.97409375 |
transcript.pyannote[2115].end |
11974.02471875 |
transcript.pyannote[2116].speaker |
SPEAKER_43 |
transcript.pyannote[2116].start |
11974.04159375 |
transcript.pyannote[2116].end |
11981.55096875 |
transcript.pyannote[2117].speaker |
SPEAKER_28 |
transcript.pyannote[2117].start |
11981.55096875 |
transcript.pyannote[2117].end |
11985.38159375 |
transcript.pyannote[2118].speaker |
SPEAKER_43 |
transcript.pyannote[2118].start |
11983.74471875 |
transcript.pyannote[2118].end |
11983.79534375 |
transcript.pyannote[2119].speaker |
SPEAKER_28 |
transcript.pyannote[2119].start |
11985.90471875 |
transcript.pyannote[2119].end |
11989.21221875 |
transcript.pyannote[2120].speaker |
SPEAKER_28 |
transcript.pyannote[2120].start |
11989.26284375 |
transcript.pyannote[2120].end |
11991.74346875 |
transcript.pyannote[2121].speaker |
SPEAKER_00 |
transcript.pyannote[2121].start |
11990.96721875 |
transcript.pyannote[2121].end |
11990.98409375 |
transcript.pyannote[2122].speaker |
SPEAKER_00 |
transcript.pyannote[2122].start |
11991.23721875 |
transcript.pyannote[2122].end |
11991.30471875 |
transcript.pyannote[2123].speaker |
SPEAKER_28 |
transcript.pyannote[2123].start |
11991.92909375 |
transcript.pyannote[2123].end |
11998.99971875 |
transcript.pyannote[2124].speaker |
SPEAKER_31 |
transcript.pyannote[2124].start |
11999.15159375 |
transcript.pyannote[2124].end |
11999.18534375 |
transcript.pyannote[2125].speaker |
SPEAKER_30 |
transcript.pyannote[2125].start |
11999.18534375 |
transcript.pyannote[2125].end |
11999.20221875 |
transcript.pyannote[2126].speaker |
SPEAKER_31 |
transcript.pyannote[2126].start |
11999.20221875 |
transcript.pyannote[2126].end |
11999.55659375 |
transcript.pyannote[2127].speaker |
SPEAKER_28 |
transcript.pyannote[2127].start |
11999.62409375 |
transcript.pyannote[2127].end |
12004.09596875 |
transcript.pyannote[2128].speaker |
SPEAKER_31 |
transcript.pyannote[2128].start |
12004.09596875 |
transcript.pyannote[2128].end |
12004.65284375 |
transcript.pyannote[2129].speaker |
SPEAKER_28 |
transcript.pyannote[2129].start |
12004.63596875 |
transcript.pyannote[2129].end |
12007.55534375 |
transcript.pyannote[2130].speaker |
SPEAKER_28 |
transcript.pyannote[2130].start |
12008.23034375 |
transcript.pyannote[2130].end |
12008.88846875 |
transcript.pyannote[2131].speaker |
SPEAKER_28 |
transcript.pyannote[2131].start |
12009.93471875 |
transcript.pyannote[2131].end |
12020.07659375 |
transcript.pyannote[2132].speaker |
SPEAKER_28 |
transcript.pyannote[2132].start |
12020.16096875 |
transcript.pyannote[2132].end |
12021.00471875 |
transcript.pyannote[2133].speaker |
SPEAKER_28 |
transcript.pyannote[2133].start |
12021.51096875 |
transcript.pyannote[2133].end |
12032.53034375 |
transcript.pyannote[2134].speaker |
SPEAKER_31 |
transcript.pyannote[2134].start |
12032.74971875 |
transcript.pyannote[2134].end |
12032.98596875 |
transcript.pyannote[2135].speaker |
SPEAKER_28 |
transcript.pyannote[2135].start |
12033.20534375 |
transcript.pyannote[2135].end |
12035.85471875 |
transcript.pyannote[2136].speaker |
SPEAKER_28 |
transcript.pyannote[2136].start |
12036.34409375 |
transcript.pyannote[2136].end |
12040.36034375 |
transcript.pyannote[2137].speaker |
SPEAKER_28 |
transcript.pyannote[2137].start |
12040.84971875 |
transcript.pyannote[2137].end |
12043.85346875 |
transcript.pyannote[2138].speaker |
SPEAKER_17 |
transcript.pyannote[2138].start |
12043.90409375 |
transcript.pyannote[2138].end |
12044.34284375 |
transcript.pyannote[2139].speaker |
SPEAKER_28 |
transcript.pyannote[2139].start |
12044.34284375 |
transcript.pyannote[2139].end |
12052.91534375 |
transcript.pyannote[2140].speaker |
SPEAKER_43 |
transcript.pyannote[2140].start |
12054.36659375 |
transcript.pyannote[2140].end |
12058.78784375 |
transcript.pyannote[2141].speaker |
SPEAKER_28 |
transcript.pyannote[2141].start |
12058.78784375 |
transcript.pyannote[2141].end |
12063.58034375 |
transcript.pyannote[2142].speaker |
SPEAKER_43 |
transcript.pyannote[2142].start |
12064.08659375 |
transcript.pyannote[2142].end |
12068.55846875 |
transcript.pyannote[2143].speaker |
SPEAKER_28 |
transcript.pyannote[2143].start |
12064.12034375 |
transcript.pyannote[2143].end |
12064.17096875 |
transcript.pyannote[2144].speaker |
SPEAKER_28 |
transcript.pyannote[2144].start |
12068.60909375 |
transcript.pyannote[2144].end |
12072.10221875 |
transcript.pyannote[2145].speaker |
SPEAKER_43 |
transcript.pyannote[2145].start |
12072.18659375 |
transcript.pyannote[2145].end |
12084.20159375 |
transcript.pyannote[2146].speaker |
SPEAKER_28 |
transcript.pyannote[2146].start |
12084.20159375 |
transcript.pyannote[2146].end |
12087.35721875 |
transcript.pyannote[2147].speaker |
SPEAKER_28 |
transcript.pyannote[2147].start |
12088.99409375 |
transcript.pyannote[2147].end |
12090.02346875 |
transcript.pyannote[2148].speaker |
SPEAKER_43 |
transcript.pyannote[2148].start |
12090.02346875 |
transcript.pyannote[2148].end |
12090.09096875 |
transcript.pyannote[2149].speaker |
SPEAKER_28 |
transcript.pyannote[2149].start |
12090.09096875 |
transcript.pyannote[2149].end |
12090.12471875 |
transcript.pyannote[2150].speaker |
SPEAKER_43 |
transcript.pyannote[2150].start |
12090.12471875 |
transcript.pyannote[2150].end |
12097.21221875 |
transcript.pyannote[2151].speaker |
SPEAKER_28 |
transcript.pyannote[2151].start |
12096.33471875 |
transcript.pyannote[2151].end |
12100.92471875 |
transcript.pyannote[2152].speaker |
SPEAKER_28 |
transcript.pyannote[2152].start |
12101.31284375 |
transcript.pyannote[2152].end |
12102.62909375 |
transcript.pyannote[2153].speaker |
SPEAKER_28 |
transcript.pyannote[2153].start |
12102.66284375 |
transcript.pyannote[2153].end |
12102.89909375 |
transcript.pyannote[2154].speaker |
SPEAKER_18 |
transcript.pyannote[2154].start |
12102.89909375 |
transcript.pyannote[2154].end |
12103.23659375 |
transcript.pyannote[2155].speaker |
SPEAKER_28 |
transcript.pyannote[2155].start |
12103.23659375 |
transcript.pyannote[2155].end |
12103.57409375 |
transcript.pyannote[2156].speaker |
SPEAKER_18 |
transcript.pyannote[2156].start |
12103.57409375 |
transcript.pyannote[2156].end |
12103.75971875 |
transcript.pyannote[2157].speaker |
SPEAKER_28 |
transcript.pyannote[2157].start |
12104.13096875 |
transcript.pyannote[2157].end |
12106.08846875 |
transcript.pyannote[2158].speaker |
SPEAKER_18 |
transcript.pyannote[2158].start |
12104.99159375 |
transcript.pyannote[2158].end |
12106.07159375 |
transcript.pyannote[2159].speaker |
SPEAKER_18 |
transcript.pyannote[2159].start |
12106.08846875 |
transcript.pyannote[2159].end |
12106.32471875 |
transcript.pyannote[2160].speaker |
SPEAKER_28 |
transcript.pyannote[2160].start |
12106.32471875 |
transcript.pyannote[2160].end |
12115.33596875 |
transcript.pyannote[2161].speaker |
SPEAKER_43 |
transcript.pyannote[2161].start |
12113.09159375 |
transcript.pyannote[2161].end |
12113.96909375 |
transcript.pyannote[2162].speaker |
SPEAKER_00 |
transcript.pyannote[2162].start |
12113.96909375 |
transcript.pyannote[2162].end |
12114.50909375 |
transcript.pyannote[2163].speaker |
SPEAKER_28 |
transcript.pyannote[2163].start |
12115.97721875 |
transcript.pyannote[2163].end |
12122.67659375 |
transcript.pyannote[2164].speaker |
SPEAKER_28 |
transcript.pyannote[2164].start |
12123.03096875 |
transcript.pyannote[2164].end |
12136.21034375 |
transcript.pyannote[2165].speaker |
SPEAKER_30 |
transcript.pyannote[2165].start |
12126.33846875 |
transcript.pyannote[2165].end |
12127.84034375 |
transcript.pyannote[2166].speaker |
SPEAKER_30 |
transcript.pyannote[2166].start |
12128.41409375 |
transcript.pyannote[2166].end |
12128.59971875 |
transcript.pyannote[2167].speaker |
SPEAKER_28 |
transcript.pyannote[2167].start |
12136.48034375 |
transcript.pyannote[2167].end |
12139.90596875 |
transcript.pyannote[2168].speaker |
SPEAKER_28 |
transcript.pyannote[2168].start |
12140.24346875 |
transcript.pyannote[2168].end |
12148.56284375 |
transcript.pyannote[2169].speaker |
SPEAKER_28 |
transcript.pyannote[2169].start |
12148.84971875 |
transcript.pyannote[2169].end |
12151.31346875 |
transcript.pyannote[2170].speaker |
SPEAKER_28 |
transcript.pyannote[2170].start |
12151.60034375 |
transcript.pyannote[2170].end |
12154.63784375 |
transcript.pyannote[2171].speaker |
SPEAKER_30 |
transcript.pyannote[2171].start |
12154.63784375 |
transcript.pyannote[2171].end |
12155.49846875 |
transcript.pyannote[2172].speaker |
SPEAKER_28 |
transcript.pyannote[2172].start |
12155.05971875 |
transcript.pyannote[2172].end |
12157.15221875 |
transcript.pyannote[2173].speaker |
SPEAKER_28 |
transcript.pyannote[2173].start |
12157.57409375 |
transcript.pyannote[2173].end |
12160.61159375 |
transcript.pyannote[2174].speaker |
SPEAKER_28 |
transcript.pyannote[2174].start |
12161.06721875 |
transcript.pyannote[2174].end |
12164.03721875 |
transcript.pyannote[2175].speaker |
SPEAKER_28 |
transcript.pyannote[2175].start |
12164.66159375 |
transcript.pyannote[2175].end |
12169.33596875 |
transcript.pyannote[2176].speaker |
SPEAKER_28 |
transcript.pyannote[2176].start |
12169.58909375 |
transcript.pyannote[2176].end |
12172.12034375 |
transcript.pyannote[2177].speaker |
SPEAKER_28 |
transcript.pyannote[2177].start |
12172.91346875 |
transcript.pyannote[2177].end |
12174.97221875 |
transcript.pyannote[2178].speaker |
SPEAKER_28 |
transcript.pyannote[2178].start |
12175.10721875 |
transcript.pyannote[2178].end |
12181.21596875 |
transcript.pyannote[2179].speaker |
SPEAKER_28 |
transcript.pyannote[2179].start |
12181.40159375 |
transcript.pyannote[2179].end |
12188.32034375 |
transcript.pyannote[2180].speaker |
SPEAKER_28 |
transcript.pyannote[2180].start |
12189.02909375 |
transcript.pyannote[2180].end |
12196.20096875 |
transcript.pyannote[2181].speaker |
SPEAKER_18 |
transcript.pyannote[2181].start |
12196.20096875 |
transcript.pyannote[2181].end |
12199.76159375 |
transcript.pyannote[2182].speaker |
SPEAKER_28 |
transcript.pyannote[2182].start |
12196.60596875 |
transcript.pyannote[2182].end |
12196.87596875 |
transcript.pyannote[2183].speaker |
SPEAKER_28 |
transcript.pyannote[2183].start |
12198.71534375 |
transcript.pyannote[2183].end |
12199.74471875 |
transcript.pyannote[2184].speaker |
SPEAKER_28 |
transcript.pyannote[2184].start |
12199.76159375 |
transcript.pyannote[2184].end |
12199.91346875 |
transcript.pyannote[2185].speaker |
SPEAKER_18 |
transcript.pyannote[2185].start |
12199.91346875 |
transcript.pyannote[2185].end |
12199.94721875 |
transcript.pyannote[2186].speaker |
SPEAKER_28 |
transcript.pyannote[2186].start |
12199.94721875 |
transcript.pyannote[2186].end |
12199.96409375 |
transcript.pyannote[2187].speaker |
SPEAKER_18 |
transcript.pyannote[2187].start |
12199.96409375 |
transcript.pyannote[2187].end |
12199.98096875 |
transcript.pyannote[2188].speaker |
SPEAKER_28 |
transcript.pyannote[2188].start |
12199.98096875 |
transcript.pyannote[2188].end |
12199.99784375 |
transcript.pyannote[2189].speaker |
SPEAKER_18 |
transcript.pyannote[2189].start |
12199.99784375 |
transcript.pyannote[2189].end |
12200.82471875 |
transcript.pyannote[2190].speaker |
SPEAKER_28 |
transcript.pyannote[2190].start |
12200.82471875 |
transcript.pyannote[2190].end |
12200.84159375 |
transcript.pyannote[2191].speaker |
SPEAKER_18 |
transcript.pyannote[2191].start |
12200.84159375 |
transcript.pyannote[2191].end |
12203.32221875 |
transcript.pyannote[2192].speaker |
SPEAKER_28 |
transcript.pyannote[2192].start |
12200.87534375 |
transcript.pyannote[2192].end |
12201.73596875 |
transcript.pyannote[2193].speaker |
SPEAKER_28 |
transcript.pyannote[2193].start |
12203.11971875 |
transcript.pyannote[2193].end |
12205.73534375 |
transcript.pyannote[2194].speaker |
SPEAKER_31 |
transcript.pyannote[2194].start |
12205.73534375 |
transcript.pyannote[2194].end |
12206.10659375 |
transcript.pyannote[2195].speaker |
SPEAKER_28 |
transcript.pyannote[2195].start |
12205.78596875 |
transcript.pyannote[2195].end |
12214.74659375 |
transcript.pyannote[2196].speaker |
SPEAKER_28 |
transcript.pyannote[2196].start |
12215.38784375 |
transcript.pyannote[2196].end |
12218.71221875 |
transcript.pyannote[2197].speaker |
SPEAKER_28 |
transcript.pyannote[2197].start |
12219.57284375 |
transcript.pyannote[2197].end |
12222.10409375 |
transcript.pyannote[2198].speaker |
SPEAKER_28 |
transcript.pyannote[2198].start |
12222.69471875 |
transcript.pyannote[2198].end |
12224.39909375 |
transcript.pyannote[2199].speaker |
SPEAKER_28 |
transcript.pyannote[2199].start |
12224.60159375 |
transcript.pyannote[2199].end |
12229.41096875 |
transcript.pyannote[2200].speaker |
SPEAKER_28 |
transcript.pyannote[2200].start |
12229.71471875 |
transcript.pyannote[2200].end |
12238.25346875 |
transcript.pyannote[2201].speaker |
SPEAKER_10 |
transcript.pyannote[2201].start |
12233.64659375 |
transcript.pyannote[2201].end |
12233.83221875 |
transcript.pyannote[2202].speaker |
SPEAKER_28 |
transcript.pyannote[2202].start |
12239.04659375 |
transcript.pyannote[2202].end |
12244.46346875 |
transcript.pyannote[2203].speaker |
SPEAKER_18 |
transcript.pyannote[2203].start |
12243.23159375 |
transcript.pyannote[2203].end |
12246.97784375 |
transcript.pyannote[2204].speaker |
SPEAKER_28 |
transcript.pyannote[2204].start |
12246.97784375 |
transcript.pyannote[2204].end |
12248.02409375 |
transcript.pyannote[2205].speaker |
SPEAKER_28 |
transcript.pyannote[2205].start |
12248.51346875 |
transcript.pyannote[2205].end |
12248.81721875 |
transcript.pyannote[2206].speaker |
SPEAKER_28 |
transcript.pyannote[2206].start |
12248.95221875 |
transcript.pyannote[2206].end |
12249.03659375 |
transcript.pyannote[2207].speaker |
SPEAKER_28 |
transcript.pyannote[2207].start |
12249.13784375 |
transcript.pyannote[2207].end |
12251.78721875 |
transcript.pyannote[2208].speaker |
SPEAKER_28 |
transcript.pyannote[2208].start |
12252.09096875 |
transcript.pyannote[2208].end |
12253.23846875 |
transcript.pyannote[2209].speaker |
SPEAKER_04 |
transcript.pyannote[2209].start |
12253.23846875 |
transcript.pyannote[2209].end |
12253.25534375 |
transcript.pyannote[2210].speaker |
SPEAKER_28 |
transcript.pyannote[2210].start |
12253.25534375 |
transcript.pyannote[2210].end |
12253.33971875 |
transcript.pyannote[2211].speaker |
SPEAKER_04 |
transcript.pyannote[2211].start |
12253.33971875 |
transcript.pyannote[2211].end |
12254.48721875 |
transcript.pyannote[2212].speaker |
SPEAKER_28 |
transcript.pyannote[2212].start |
12253.79534375 |
transcript.pyannote[2212].end |
12253.81221875 |
transcript.pyannote[2213].speaker |
SPEAKER_28 |
transcript.pyannote[2213].start |
12261.28784375 |
transcript.pyannote[2213].end |
12261.64221875 |
transcript.pyannote[2214].speaker |
SPEAKER_08 |
transcript.pyannote[2214].start |
12261.64221875 |
transcript.pyannote[2214].end |
12261.67596875 |
transcript.pyannote[2215].speaker |
SPEAKER_28 |
transcript.pyannote[2215].start |
12261.67596875 |
transcript.pyannote[2215].end |
12262.43534375 |
transcript.pyannote[2216].speaker |
SPEAKER_28 |
transcript.pyannote[2216].start |
12263.04284375 |
transcript.pyannote[2216].end |
12267.81846875 |
transcript.pyannote[2217].speaker |
SPEAKER_28 |
transcript.pyannote[2217].start |
12268.25721875 |
transcript.pyannote[2217].end |
12274.53471875 |
transcript.pyannote[2218].speaker |
SPEAKER_28 |
transcript.pyannote[2218].start |
12275.32784375 |
transcript.pyannote[2218].end |
12278.26409375 |
transcript.pyannote[2219].speaker |
SPEAKER_28 |
transcript.pyannote[2219].start |
12279.71534375 |
transcript.pyannote[2219].end |
12279.83346875 |
transcript.pyannote[2220].speaker |
SPEAKER_28 |
transcript.pyannote[2220].start |
12280.25534375 |
transcript.pyannote[2220].end |
12281.67284375 |
transcript.pyannote[2221].speaker |
SPEAKER_28 |
transcript.pyannote[2221].start |
12282.46596875 |
transcript.pyannote[2221].end |
12284.49096875 |
transcript.pyannote[2222].speaker |
SPEAKER_28 |
transcript.pyannote[2222].start |
12284.79471875 |
transcript.pyannote[2222].end |
12285.58784375 |
transcript.pyannote[2223].speaker |
SPEAKER_28 |
transcript.pyannote[2223].start |
12285.77346875 |
transcript.pyannote[2223].end |
12287.83221875 |
transcript.pyannote[2224].speaker |
SPEAKER_28 |
transcript.pyannote[2224].start |
12288.50721875 |
transcript.pyannote[2224].end |
12291.25784375 |
transcript.pyannote[2225].speaker |
SPEAKER_28 |
transcript.pyannote[2225].start |
12291.83159375 |
transcript.pyannote[2225].end |
12298.78409375 |
transcript.pyannote[2226].speaker |
SPEAKER_28 |
transcript.pyannote[2226].start |
12298.85159375 |
transcript.pyannote[2226].end |
12301.92284375 |
transcript.pyannote[2227].speaker |
SPEAKER_28 |
transcript.pyannote[2227].start |
12302.59784375 |
transcript.pyannote[2227].end |
12305.04471875 |
transcript.pyannote[2228].speaker |
SPEAKER_28 |
transcript.pyannote[2228].start |
12305.97284375 |
transcript.pyannote[2228].end |
12310.20846875 |
transcript.pyannote[2229].speaker |
SPEAKER_28 |
transcript.pyannote[2229].start |
12310.56284375 |
transcript.pyannote[2229].end |
12318.17346875 |
transcript.pyannote[2230].speaker |
SPEAKER_28 |
transcript.pyannote[2230].start |
12318.54471875 |
transcript.pyannote[2230].end |
12320.41784375 |
transcript.pyannote[2231].speaker |
SPEAKER_28 |
transcript.pyannote[2231].start |
12321.34596875 |
transcript.pyannote[2231].end |
12323.21909375 |
transcript.pyannote[2232].speaker |
SPEAKER_28 |
transcript.pyannote[2232].start |
12323.96159375 |
transcript.pyannote[2232].end |
12326.27346875 |
transcript.pyannote[2233].speaker |
SPEAKER_28 |
transcript.pyannote[2233].start |
12326.50971875 |
transcript.pyannote[2233].end |
12340.76909375 |
transcript.pyannote[2234].speaker |
SPEAKER_28 |
transcript.pyannote[2234].start |
12341.42721875 |
transcript.pyannote[2234].end |
12345.66284375 |
transcript.pyannote[2235].speaker |
SPEAKER_28 |
transcript.pyannote[2235].start |
12345.73034375 |
transcript.pyannote[2235].end |
12347.46846875 |
transcript.pyannote[2236].speaker |
SPEAKER_28 |
transcript.pyannote[2236].start |
12348.24471875 |
transcript.pyannote[2236].end |
12350.20221875 |
transcript.pyannote[2237].speaker |
SPEAKER_28 |
transcript.pyannote[2237].start |
12350.42159375 |
transcript.pyannote[2237].end |
12354.91034375 |
transcript.pyannote[2238].speaker |
SPEAKER_28 |
transcript.pyannote[2238].start |
12355.31534375 |
transcript.pyannote[2238].end |
12358.65659375 |
transcript.pyannote[2239].speaker |
SPEAKER_28 |
transcript.pyannote[2239].start |
12358.87596875 |
transcript.pyannote[2239].end |
12360.32721875 |
transcript.pyannote[2240].speaker |
SPEAKER_28 |
transcript.pyannote[2240].start |
12360.54659375 |
transcript.pyannote[2240].end |
12364.59659375 |
transcript.pyannote[2241].speaker |
SPEAKER_28 |
transcript.pyannote[2241].start |
12364.69784375 |
transcript.pyannote[2241].end |
12367.61721875 |
transcript.pyannote[2242].speaker |
SPEAKER_28 |
transcript.pyannote[2242].start |
12368.34284375 |
transcript.pyannote[2242].end |
12370.51971875 |
transcript.pyannote[2243].speaker |
SPEAKER_28 |
transcript.pyannote[2243].start |
12370.87409375 |
transcript.pyannote[2243].end |
12372.67971875 |
transcript.pyannote[2244].speaker |
SPEAKER_28 |
transcript.pyannote[2244].start |
12373.18596875 |
transcript.pyannote[2244].end |
12374.21534375 |
transcript.pyannote[2245].speaker |
SPEAKER_28 |
transcript.pyannote[2245].start |
12374.83971875 |
transcript.pyannote[2245].end |
12376.52721875 |
transcript.pyannote[2246].speaker |
SPEAKER_09 |
transcript.pyannote[2246].start |
12376.52721875 |
transcript.pyannote[2246].end |
12383.96909375 |
transcript.pyannote[2247].speaker |
SPEAKER_09 |
transcript.pyannote[2247].start |
12384.27284375 |
transcript.pyannote[2247].end |
12385.31909375 |
transcript.pyannote[2248].speaker |
SPEAKER_09 |
transcript.pyannote[2248].start |
12385.62284375 |
transcript.pyannote[2248].end |
12390.63471875 |
transcript.pyannote[2249].speaker |
SPEAKER_09 |
transcript.pyannote[2249].start |
12391.10721875 |
transcript.pyannote[2249].end |
12399.07221875 |
transcript.pyannote[2250].speaker |
SPEAKER_09 |
transcript.pyannote[2250].start |
12399.54471875 |
transcript.pyannote[2250].end |
12403.08846875 |
transcript.pyannote[2251].speaker |
SPEAKER_09 |
transcript.pyannote[2251].start |
12403.54409375 |
transcript.pyannote[2251].end |
12404.01659375 |
transcript.pyannote[2252].speaker |
SPEAKER_09 |
transcript.pyannote[2252].start |
12404.26971875 |
transcript.pyannote[2252].end |
12408.06659375 |
transcript.pyannote[2253].speaker |
SPEAKER_09 |
transcript.pyannote[2253].start |
12408.52221875 |
transcript.pyannote[2253].end |
12409.21409375 |
transcript.pyannote[2254].speaker |
SPEAKER_09 |
transcript.pyannote[2254].start |
12409.55159375 |
transcript.pyannote[2254].end |
12414.83346875 |
transcript.pyannote[2255].speaker |
SPEAKER_09 |
transcript.pyannote[2255].start |
12415.06971875 |
transcript.pyannote[2255].end |
12417.16221875 |
transcript.pyannote[2256].speaker |
SPEAKER_09 |
transcript.pyannote[2256].start |
12417.55034375 |
transcript.pyannote[2256].end |
12421.88721875 |
transcript.pyannote[2257].speaker |
SPEAKER_09 |
transcript.pyannote[2257].start |
12422.15721875 |
transcript.pyannote[2257].end |
12425.81909375 |
transcript.pyannote[2258].speaker |
SPEAKER_09 |
transcript.pyannote[2258].start |
12426.10596875 |
transcript.pyannote[2258].end |
12427.20284375 |
transcript.pyannote[2259].speaker |
SPEAKER_09 |
transcript.pyannote[2259].start |
12427.43909375 |
transcript.pyannote[2259].end |
12432.26534375 |
transcript.pyannote[2260].speaker |
SPEAKER_09 |
transcript.pyannote[2260].start |
12432.43409375 |
transcript.pyannote[2260].end |
12435.11721875 |
transcript.pyannote[2261].speaker |
SPEAKER_09 |
transcript.pyannote[2261].start |
12435.40409375 |
transcript.pyannote[2261].end |
12437.81721875 |
transcript.pyannote[2262].speaker |
SPEAKER_09 |
transcript.pyannote[2262].start |
12438.17159375 |
transcript.pyannote[2262].end |
12438.86346875 |
transcript.pyannote[2263].speaker |
SPEAKER_09 |
transcript.pyannote[2263].start |
12439.20096875 |
transcript.pyannote[2263].end |
12442.94721875 |
transcript.pyannote[2264].speaker |
SPEAKER_09 |
transcript.pyannote[2264].start |
12443.21721875 |
transcript.pyannote[2264].end |
12450.96284375 |
transcript.pyannote[2265].speaker |
SPEAKER_09 |
transcript.pyannote[2265].start |
12451.21596875 |
transcript.pyannote[2265].end |
12456.49784375 |
transcript.pyannote[2266].speaker |
SPEAKER_09 |
transcript.pyannote[2266].start |
12456.88596875 |
transcript.pyannote[2266].end |
12462.57284375 |
transcript.pyannote[2267].speaker |
SPEAKER_09 |
transcript.pyannote[2267].start |
12463.19721875 |
transcript.pyannote[2267].end |
12465.35721875 |
transcript.pyannote[2268].speaker |
SPEAKER_09 |
transcript.pyannote[2268].start |
12465.59346875 |
transcript.pyannote[2268].end |
12466.96034375 |
transcript.pyannote[2269].speaker |
SPEAKER_09 |
transcript.pyannote[2269].start |
12467.41596875 |
transcript.pyannote[2269].end |
12469.49159375 |
transcript.pyannote[2270].speaker |
SPEAKER_09 |
transcript.pyannote[2270].start |
12469.96409375 |
transcript.pyannote[2270].end |
12475.02659375 |
transcript.pyannote[2271].speaker |
SPEAKER_09 |
transcript.pyannote[2271].start |
12475.16159375 |
transcript.pyannote[2271].end |
12481.37159375 |
transcript.pyannote[2272].speaker |
SPEAKER_09 |
transcript.pyannote[2272].start |
12481.52346875 |
transcript.pyannote[2272].end |
12487.21034375 |
transcript.pyannote[2273].speaker |
SPEAKER_09 |
transcript.pyannote[2273].start |
12487.71659375 |
transcript.pyannote[2273].end |
12491.39534375 |
transcript.pyannote[2274].speaker |
SPEAKER_28 |
transcript.pyannote[2274].start |
12491.39534375 |
transcript.pyannote[2274].end |
12494.56784375 |
transcript.pyannote[2275].speaker |
SPEAKER_28 |
transcript.pyannote[2275].start |
12494.80409375 |
transcript.pyannote[2275].end |
12497.01471875 |
transcript.pyannote[2276].speaker |
SPEAKER_28 |
transcript.pyannote[2276].start |
12497.36909375 |
transcript.pyannote[2276].end |
12503.02221875 |
transcript.pyannote[2277].speaker |
SPEAKER_28 |
transcript.pyannote[2277].start |
12503.56221875 |
transcript.pyannote[2277].end |
12516.03284375 |
transcript.pyannote[2278].speaker |
SPEAKER_28 |
transcript.pyannote[2278].start |
12516.31971875 |
transcript.pyannote[2278].end |
12523.03596875 |
transcript.pyannote[2279].speaker |
SPEAKER_28 |
transcript.pyannote[2279].start |
12523.49159375 |
transcript.pyannote[2279].end |
12527.42346875 |
transcript.pyannote[2280].speaker |
SPEAKER_28 |
transcript.pyannote[2280].start |
12527.69346875 |
transcript.pyannote[2280].end |
12530.66346875 |
transcript.pyannote[2281].speaker |
SPEAKER_28 |
transcript.pyannote[2281].start |
12531.92909375 |
transcript.pyannote[2281].end |
12535.50659375 |
transcript.pyannote[2282].speaker |
SPEAKER_28 |
transcript.pyannote[2282].start |
12536.38409375 |
transcript.pyannote[2282].end |
12543.04971875 |
transcript.pyannote[2283].speaker |
SPEAKER_09 |
transcript.pyannote[2283].start |
12538.54409375 |
transcript.pyannote[2283].end |
12538.93221875 |
transcript.pyannote[2284].speaker |
SPEAKER_09 |
transcript.pyannote[2284].start |
12542.47596875 |
transcript.pyannote[2284].end |
12545.80034375 |
transcript.pyannote[2285].speaker |
SPEAKER_28 |
transcript.pyannote[2285].start |
12545.78346875 |
transcript.pyannote[2285].end |
12548.19659375 |
transcript.pyannote[2286].speaker |
SPEAKER_09 |
transcript.pyannote[2286].start |
12548.19659375 |
transcript.pyannote[2286].end |
12548.46659375 |
transcript.pyannote[2287].speaker |
SPEAKER_28 |
transcript.pyannote[2287].start |
12548.46659375 |
transcript.pyannote[2287].end |
12555.57096875 |
transcript.pyannote[2288].speaker |
SPEAKER_31 |
transcript.pyannote[2288].start |
12555.57096875 |
transcript.pyannote[2288].end |
12555.89159375 |
transcript.pyannote[2289].speaker |
SPEAKER_28 |
transcript.pyannote[2289].start |
12555.82409375 |
transcript.pyannote[2289].end |
12559.99221875 |
transcript.pyannote[2290].speaker |
SPEAKER_09 |
transcript.pyannote[2290].start |
12560.32971875 |
transcript.pyannote[2290].end |
12562.57409375 |
transcript.pyannote[2291].speaker |
SPEAKER_28 |
transcript.pyannote[2291].start |
12562.57409375 |
transcript.pyannote[2291].end |
12565.15596875 |
transcript.pyannote[2292].speaker |
SPEAKER_09 |
transcript.pyannote[2292].start |
12565.15596875 |
transcript.pyannote[2292].end |
12565.17284375 |
transcript.pyannote[2293].speaker |
SPEAKER_09 |
transcript.pyannote[2293].start |
12565.72971875 |
transcript.pyannote[2293].end |
12568.21034375 |
transcript.pyannote[2294].speaker |
SPEAKER_28 |
transcript.pyannote[2294].start |
12567.73784375 |
transcript.pyannote[2294].end |
12568.09221875 |
transcript.pyannote[2295].speaker |
SPEAKER_28 |
transcript.pyannote[2295].start |
12568.21034375 |
transcript.pyannote[2295].end |
12568.26096875 |
transcript.pyannote[2296].speaker |
SPEAKER_09 |
transcript.pyannote[2296].start |
12568.26096875 |
transcript.pyannote[2296].end |
12568.27784375 |
transcript.pyannote[2297].speaker |
SPEAKER_28 |
transcript.pyannote[2297].start |
12568.27784375 |
transcript.pyannote[2297].end |
12568.83471875 |
transcript.pyannote[2298].speaker |
SPEAKER_09 |
transcript.pyannote[2298].start |
12568.83471875 |
transcript.pyannote[2298].end |
12568.85159375 |
transcript.pyannote[2299].speaker |
SPEAKER_28 |
transcript.pyannote[2299].start |
12568.85159375 |
transcript.pyannote[2299].end |
12568.86846875 |
transcript.pyannote[2300].speaker |
SPEAKER_09 |
transcript.pyannote[2300].start |
12568.86846875 |
transcript.pyannote[2300].end |
12568.88534375 |
transcript.pyannote[2301].speaker |
SPEAKER_28 |
transcript.pyannote[2301].start |
12568.96971875 |
transcript.pyannote[2301].end |
12572.73284375 |
transcript.pyannote[2302].speaker |
SPEAKER_28 |
transcript.pyannote[2302].start |
12573.30659375 |
transcript.pyannote[2302].end |
12573.96471875 |
transcript.pyannote[2303].speaker |
SPEAKER_28 |
transcript.pyannote[2303].start |
12574.31909375 |
transcript.pyannote[2303].end |
12578.53784375 |
transcript.pyannote[2304].speaker |
SPEAKER_28 |
transcript.pyannote[2304].start |
12578.99346875 |
transcript.pyannote[2304].end |
12581.64284375 |
transcript.pyannote[2305].speaker |
SPEAKER_28 |
transcript.pyannote[2305].start |
12581.94659375 |
transcript.pyannote[2305].end |
12582.46971875 |
transcript.pyannote[2306].speaker |
SPEAKER_28 |
transcript.pyannote[2306].start |
12583.02659375 |
transcript.pyannote[2306].end |
12585.27096875 |
transcript.pyannote[2307].speaker |
SPEAKER_28 |
transcript.pyannote[2307].start |
12585.47346875 |
transcript.pyannote[2307].end |
12587.02596875 |
transcript.pyannote[2308].speaker |
SPEAKER_28 |
transcript.pyannote[2308].start |
12587.27909375 |
transcript.pyannote[2308].end |
12588.32534375 |
transcript.pyannote[2309].speaker |
SPEAKER_09 |
transcript.pyannote[2309].start |
12589.05096875 |
transcript.pyannote[2309].end |
12592.62846875 |
transcript.pyannote[2310].speaker |
SPEAKER_28 |
transcript.pyannote[2310].start |
12590.13096875 |
transcript.pyannote[2310].end |
12596.07096875 |
transcript.pyannote[2311].speaker |
SPEAKER_28 |
transcript.pyannote[2311].start |
12596.39159375 |
transcript.pyannote[2311].end |
12598.45034375 |
transcript.pyannote[2312].speaker |
SPEAKER_09 |
transcript.pyannote[2312].start |
12598.75409375 |
transcript.pyannote[2312].end |
12600.93096875 |
transcript.pyannote[2313].speaker |
SPEAKER_28 |
transcript.pyannote[2313].start |
12600.93096875 |
transcript.pyannote[2313].end |
12603.22596875 |
transcript.pyannote[2314].speaker |
SPEAKER_09 |
transcript.pyannote[2314].start |
12603.78284375 |
transcript.pyannote[2314].end |
12606.11159375 |
transcript.pyannote[2315].speaker |
SPEAKER_28 |
transcript.pyannote[2315].start |
12606.41534375 |
transcript.pyannote[2315].end |
12608.23784375 |
transcript.pyannote[2316].speaker |
SPEAKER_09 |
transcript.pyannote[2316].start |
12608.06909375 |
transcript.pyannote[2316].end |
12608.18721875 |
transcript.pyannote[2317].speaker |
SPEAKER_09 |
transcript.pyannote[2317].start |
12608.23784375 |
transcript.pyannote[2317].end |
12608.94659375 |
transcript.pyannote[2318].speaker |
SPEAKER_28 |
transcript.pyannote[2318].start |
12608.94659375 |
transcript.pyannote[2318].end |
12611.32596875 |
transcript.pyannote[2319].speaker |
SPEAKER_09 |
transcript.pyannote[2319].start |
12609.04784375 |
transcript.pyannote[2319].end |
12609.72284375 |
transcript.pyannote[2320].speaker |
SPEAKER_28 |
transcript.pyannote[2320].start |
12611.95034375 |
transcript.pyannote[2320].end |
12616.16909375 |
transcript.pyannote[2321].speaker |
SPEAKER_28 |
transcript.pyannote[2321].start |
12616.50659375 |
transcript.pyannote[2321].end |
12618.98721875 |
transcript.pyannote[2322].speaker |
SPEAKER_28 |
transcript.pyannote[2322].start |
12619.30784375 |
transcript.pyannote[2322].end |
12621.50159375 |
transcript.pyannote[2323].speaker |
SPEAKER_28 |
transcript.pyannote[2323].start |
12621.75471875 |
transcript.pyannote[2323].end |
12623.08784375 |
transcript.pyannote[2324].speaker |
SPEAKER_28 |
transcript.pyannote[2324].start |
12623.62784375 |
transcript.pyannote[2324].end |
12626.34471875 |
transcript.pyannote[2325].speaker |
SPEAKER_28 |
transcript.pyannote[2325].start |
12626.53034375 |
transcript.pyannote[2325].end |
12627.03659375 |
transcript.pyannote[2326].speaker |
SPEAKER_28 |
transcript.pyannote[2326].start |
12627.22221875 |
transcript.pyannote[2326].end |
12647.13471875 |
transcript.pyannote[2327].speaker |
SPEAKER_28 |
transcript.pyannote[2327].start |
12647.60721875 |
transcript.pyannote[2327].end |
12656.70284375 |
transcript.pyannote[2328].speaker |
SPEAKER_28 |
transcript.pyannote[2328].start |
12656.83784375 |
transcript.pyannote[2328].end |
12659.63909375 |
transcript.pyannote[2329].speaker |
SPEAKER_28 |
transcript.pyannote[2329].start |
12659.97659375 |
transcript.pyannote[2329].end |
12665.98409375 |
transcript.pyannote[2330].speaker |
SPEAKER_28 |
transcript.pyannote[2330].start |
12666.27096875 |
transcript.pyannote[2330].end |
12676.53096875 |
transcript.pyannote[2331].speaker |
SPEAKER_28 |
transcript.pyannote[2331].start |
12677.30721875 |
transcript.pyannote[2331].end |
12684.46221875 |
transcript.pyannote[2332].speaker |
SPEAKER_28 |
transcript.pyannote[2332].start |
12684.91784375 |
transcript.pyannote[2332].end |
12703.29471875 |
transcript.pyannote[2333].speaker |
SPEAKER_28 |
transcript.pyannote[2333].start |
12704.10471875 |
transcript.pyannote[2333].end |
12708.28971875 |
transcript.pyannote[2334].speaker |
SPEAKER_28 |
transcript.pyannote[2334].start |
12709.03221875 |
transcript.pyannote[2334].end |
12719.61284375 |
transcript.pyannote[2335].speaker |
SPEAKER_28 |
transcript.pyannote[2335].start |
12720.05159375 |
transcript.pyannote[2335].end |
12724.54034375 |
transcript.pyannote[2336].speaker |
SPEAKER_28 |
transcript.pyannote[2336].start |
12724.65846875 |
transcript.pyannote[2336].end |
12727.79721875 |
transcript.pyannote[2337].speaker |
SPEAKER_28 |
transcript.pyannote[2337].start |
12727.89846875 |
transcript.pyannote[2337].end |
12730.48034375 |
transcript.pyannote[2338].speaker |
SPEAKER_31 |
transcript.pyannote[2338].start |
12730.63221875 |
transcript.pyannote[2338].end |
12731.02034375 |
transcript.pyannote[2339].speaker |
SPEAKER_28 |
transcript.pyannote[2339].start |
12731.10471875 |
transcript.pyannote[2339].end |
12738.96846875 |
transcript.pyannote[2340].speaker |
SPEAKER_31 |
transcript.pyannote[2340].start |
12738.96846875 |
transcript.pyannote[2340].end |
12739.08659375 |
transcript.pyannote[2341].speaker |
SPEAKER_28 |
transcript.pyannote[2341].start |
12739.08659375 |
transcript.pyannote[2341].end |
12743.98034375 |
transcript.pyannote[2342].speaker |
SPEAKER_26 |
transcript.pyannote[2342].start |
12743.98034375 |
transcript.pyannote[2342].end |
12744.35159375 |
transcript.pyannote[2343].speaker |
SPEAKER_28 |
transcript.pyannote[2343].start |
12744.14909375 |
transcript.pyannote[2343].end |
12748.84034375 |
transcript.pyannote[2344].speaker |
SPEAKER_31 |
transcript.pyannote[2344].start |
12744.35159375 |
transcript.pyannote[2344].end |
12744.36846875 |
transcript.pyannote[2345].speaker |
SPEAKER_28 |
transcript.pyannote[2345].start |
12749.27909375 |
transcript.pyannote[2345].end |
12756.14721875 |
transcript.pyannote[2346].speaker |
SPEAKER_30 |
transcript.pyannote[2346].start |
12756.14721875 |
transcript.pyannote[2346].end |
12756.18096875 |
transcript.pyannote[2347].speaker |
SPEAKER_28 |
transcript.pyannote[2347].start |
12756.18096875 |
transcript.pyannote[2347].end |
12771.16596875 |
transcript.pyannote[2348].speaker |
SPEAKER_31 |
transcript.pyannote[2348].start |
12771.16596875 |
transcript.pyannote[2348].end |
12771.53721875 |
transcript.pyannote[2349].speaker |
SPEAKER_28 |
transcript.pyannote[2349].start |
12771.65534375 |
transcript.pyannote[2349].end |
12775.43534375 |
transcript.pyannote[2350].speaker |
SPEAKER_31 |
transcript.pyannote[2350].start |
12774.77721875 |
transcript.pyannote[2350].end |
12774.87846875 |
transcript.pyannote[2351].speaker |
SPEAKER_31 |
transcript.pyannote[2351].start |
12775.43534375 |
transcript.pyannote[2351].end |
12775.46909375 |
transcript.pyannote[2352].speaker |
SPEAKER_04 |
transcript.pyannote[2352].start |
12777.47721875 |
transcript.pyannote[2352].end |
12779.78909375 |
transcript.pyannote[2353].speaker |
SPEAKER_04 |
transcript.pyannote[2353].start |
12780.46409375 |
transcript.pyannote[2353].end |
12783.60284375 |
transcript.pyannote[2354].speaker |
SPEAKER_31 |
transcript.pyannote[2354].start |
12791.16284375 |
transcript.pyannote[2354].end |
12793.44096875 |
transcript.pyannote[2355].speaker |
SPEAKER_31 |
transcript.pyannote[2355].start |
12796.37721875 |
transcript.pyannote[2355].end |
12796.39409375 |
transcript.pyannote[2356].speaker |
SPEAKER_05 |
transcript.pyannote[2356].start |
12802.50284375 |
transcript.pyannote[2356].end |
12806.41784375 |
transcript.pyannote[2357].speaker |
SPEAKER_10 |
transcript.pyannote[2357].start |
12806.67096875 |
transcript.pyannote[2357].end |
12807.37971875 |
transcript.pyannote[2358].speaker |
SPEAKER_05 |
transcript.pyannote[2358].start |
12814.48409375 |
transcript.pyannote[2358].end |
12816.55971875 |
transcript.pyannote[2359].speaker |
SPEAKER_05 |
transcript.pyannote[2359].start |
12816.77909375 |
transcript.pyannote[2359].end |
12856.57034375 |
transcript.pyannote[2360].speaker |
SPEAKER_18 |
transcript.pyannote[2360].start |
12856.16534375 |
transcript.pyannote[2360].end |
12869.41221875 |
transcript.pyannote[2361].speaker |
SPEAKER_05 |
transcript.pyannote[2361].start |
12869.98596875 |
transcript.pyannote[2361].end |
12914.75534375 |
transcript.pyannote[2362].speaker |
SPEAKER_05 |
transcript.pyannote[2362].start |
12915.27846875 |
transcript.pyannote[2362].end |
12930.39846875 |
transcript.pyannote[2363].speaker |
SPEAKER_05 |
transcript.pyannote[2363].start |
12930.58409375 |
transcript.pyannote[2363].end |
12931.12409375 |
transcript.pyannote[2364].speaker |
SPEAKER_05 |
transcript.pyannote[2364].start |
12931.61346875 |
transcript.pyannote[2364].end |
12937.04721875 |
transcript.pyannote[2365].speaker |
SPEAKER_05 |
transcript.pyannote[2365].start |
12937.33409375 |
transcript.pyannote[2365].end |
12937.87409375 |
transcript.pyannote[2366].speaker |
SPEAKER_05 |
transcript.pyannote[2366].start |
12938.34659375 |
transcript.pyannote[2366].end |
12946.31159375 |
transcript.pyannote[2367].speaker |
SPEAKER_17 |
transcript.pyannote[2367].start |
12946.68284375 |
transcript.pyannote[2367].end |
12947.13846875 |
transcript.pyannote[2368].speaker |
SPEAKER_09 |
transcript.pyannote[2368].start |
12947.13846875 |
transcript.pyannote[2368].end |
12949.41659375 |
transcript.pyannote[2369].speaker |
SPEAKER_09 |
transcript.pyannote[2369].start |
12950.64846875 |
transcript.pyannote[2369].end |
12961.87034375 |
transcript.pyannote[2370].speaker |
SPEAKER_09 |
transcript.pyannote[2370].start |
12962.17409375 |
transcript.pyannote[2370].end |
12965.56596875 |
transcript.pyannote[2371].speaker |
SPEAKER_09 |
transcript.pyannote[2371].start |
12966.02159375 |
transcript.pyannote[2371].end |
12971.50596875 |
transcript.pyannote[2372].speaker |
SPEAKER_09 |
transcript.pyannote[2372].start |
12971.89409375 |
transcript.pyannote[2372].end |
12974.69534375 |
transcript.pyannote[2373].speaker |
SPEAKER_09 |
transcript.pyannote[2373].start |
12974.74596875 |
transcript.pyannote[2373].end |
12975.62346875 |
transcript.pyannote[2374].speaker |
SPEAKER_09 |
transcript.pyannote[2374].start |
12975.92721875 |
transcript.pyannote[2374].end |
12985.90034375 |
transcript.pyannote[2375].speaker |
SPEAKER_09 |
transcript.pyannote[2375].start |
12986.44034375 |
transcript.pyannote[2375].end |
12990.08534375 |
transcript.pyannote[2376].speaker |
SPEAKER_09 |
transcript.pyannote[2376].start |
12990.23721875 |
transcript.pyannote[2376].end |
12992.61659375 |
transcript.pyannote[2377].speaker |
SPEAKER_09 |
transcript.pyannote[2377].start |
12993.27471875 |
transcript.pyannote[2377].end |
13012.93409375 |
transcript.pyannote[2378].speaker |
SPEAKER_09 |
transcript.pyannote[2378].start |
13013.32221875 |
transcript.pyannote[2378].end |
13016.61284375 |
transcript.pyannote[2379].speaker |
SPEAKER_09 |
transcript.pyannote[2379].start |
13016.78159375 |
transcript.pyannote[2379].end |
13020.54471875 |
transcript.pyannote[2380].speaker |
SPEAKER_09 |
transcript.pyannote[2380].start |
13021.05096875 |
transcript.pyannote[2380].end |
13027.29471875 |
transcript.pyannote[2381].speaker |
SPEAKER_09 |
transcript.pyannote[2381].start |
13027.68284375 |
transcript.pyannote[2381].end |
13029.13409375 |
transcript.pyannote[2382].speaker |
SPEAKER_09 |
transcript.pyannote[2382].start |
13029.50534375 |
transcript.pyannote[2382].end |
13048.94534375 |
transcript.pyannote[2383].speaker |
SPEAKER_09 |
transcript.pyannote[2383].start |
13049.31659375 |
transcript.pyannote[2383].end |
13052.01659375 |
transcript.pyannote[2384].speaker |
SPEAKER_05 |
transcript.pyannote[2384].start |
13052.01659375 |
transcript.pyannote[2384].end |
13092.22971875 |
transcript.pyannote[2385].speaker |
SPEAKER_09 |
transcript.pyannote[2385].start |
13052.03346875 |
transcript.pyannote[2385].end |
13054.34534375 |
transcript.pyannote[2386].speaker |
SPEAKER_05 |
transcript.pyannote[2386].start |
13093.09034375 |
transcript.pyannote[2386].end |
13095.16596875 |
transcript.pyannote[2387].speaker |
SPEAKER_09 |
transcript.pyannote[2387].start |
13093.59659375 |
transcript.pyannote[2387].end |
13099.72221875 |
transcript.pyannote[2388].speaker |
SPEAKER_18 |
transcript.pyannote[2388].start |
13099.72221875 |
transcript.pyannote[2388].end |
13130.63721875 |
transcript.pyannote[2389].speaker |
SPEAKER_05 |
transcript.pyannote[2389].start |
13127.93721875 |
transcript.pyannote[2389].end |
13141.62284375 |
transcript.pyannote[2390].speaker |
SPEAKER_18 |
transcript.pyannote[2390].start |
13135.73346875 |
transcript.pyannote[2390].end |
13136.37471875 |
transcript.pyannote[2391].speaker |
SPEAKER_18 |
transcript.pyannote[2391].start |
13140.32346875 |
transcript.pyannote[2391].end |
13148.27159375 |
transcript.pyannote[2392].speaker |
SPEAKER_05 |
transcript.pyannote[2392].start |
13149.40221875 |
transcript.pyannote[2392].end |
13179.13596875 |
transcript.pyannote[2393].speaker |
SPEAKER_18 |
transcript.pyannote[2393].start |
13178.37659375 |
transcript.pyannote[2393].end |
13196.53409375 |
transcript.pyannote[2394].speaker |
SPEAKER_05 |
transcript.pyannote[2394].start |
13196.16284375 |
transcript.pyannote[2394].end |
13205.37659375 |
transcript.pyannote[2395].speaker |
SPEAKER_05 |
transcript.pyannote[2395].start |
13205.49471875 |
transcript.pyannote[2395].end |
13205.51159375 |
transcript.pyannote[2396].speaker |
SPEAKER_05 |
transcript.pyannote[2396].start |
13205.52846875 |
transcript.pyannote[2396].end |
13250.68596875 |
transcript.pyannote[2397].speaker |
SPEAKER_00 |
transcript.pyannote[2397].start |
13234.85721875 |
transcript.pyannote[2397].end |
13235.14409375 |
transcript.pyannote[2398].speaker |
SPEAKER_05 |
transcript.pyannote[2398].start |
13250.85471875 |
transcript.pyannote[2398].end |
13252.18784375 |
transcript.pyannote[2399].speaker |
SPEAKER_18 |
transcript.pyannote[2399].start |
13252.40721875 |
transcript.pyannote[2399].end |
13269.95721875 |
transcript.pyannote[2400].speaker |
SPEAKER_05 |
transcript.pyannote[2400].start |
13252.60971875 |
transcript.pyannote[2400].end |
13254.14534375 |
transcript.pyannote[2401].speaker |
SPEAKER_05 |
transcript.pyannote[2401].start |
13268.64096875 |
transcript.pyannote[2401].end |
13277.23034375 |
transcript.pyannote[2402].speaker |
SPEAKER_31 |
transcript.pyannote[2402].start |
13276.21784375 |
transcript.pyannote[2402].end |
13276.79159375 |
transcript.pyannote[2403].speaker |
SPEAKER_31 |
transcript.pyannote[2403].start |
13277.23034375 |
transcript.pyannote[2403].end |
13277.43284375 |
transcript.pyannote[2404].speaker |
SPEAKER_05 |
transcript.pyannote[2404].start |
13278.19221875 |
transcript.pyannote[2404].end |
13317.03846875 |
transcript.pyannote[2405].speaker |
SPEAKER_18 |
transcript.pyannote[2405].start |
13314.72659375 |
transcript.pyannote[2405].end |
13329.34034375 |
transcript.pyannote[2406].speaker |
SPEAKER_05 |
transcript.pyannote[2406].start |
13318.48971875 |
transcript.pyannote[2406].end |
13319.26596875 |
transcript.pyannote[2407].speaker |
SPEAKER_05 |
transcript.pyannote[2407].start |
13320.27846875 |
transcript.pyannote[2407].end |
13321.03784375 |
transcript.pyannote[2408].speaker |
SPEAKER_00 |
transcript.pyannote[2408].start |
13321.03784375 |
transcript.pyannote[2408].end |
13321.07159375 |
transcript.pyannote[2409].speaker |
SPEAKER_05 |
transcript.pyannote[2409].start |
13329.34034375 |
transcript.pyannote[2409].end |
13329.44159375 |
transcript.pyannote[2410].speaker |
SPEAKER_05 |
transcript.pyannote[2410].start |
13329.47534375 |
transcript.pyannote[2410].end |
13335.11159375 |
transcript.pyannote[2411].speaker |
SPEAKER_05 |
transcript.pyannote[2411].start |
13335.66846875 |
transcript.pyannote[2411].end |
13337.06909375 |
transcript.pyannote[2412].speaker |
SPEAKER_05 |
transcript.pyannote[2412].start |
13337.55846875 |
transcript.pyannote[2412].end |
13341.67596875 |
transcript.pyannote[2413].speaker |
SPEAKER_05 |
transcript.pyannote[2413].start |
13342.11471875 |
transcript.pyannote[2413].end |
13347.27846875 |
transcript.pyannote[2414].speaker |
SPEAKER_43 |
transcript.pyannote[2414].start |
13347.46409375 |
transcript.pyannote[2414].end |
13347.88596875 |
transcript.pyannote[2415].speaker |
SPEAKER_43 |
transcript.pyannote[2415].start |
13348.05471875 |
transcript.pyannote[2415].end |
13350.94034375 |
transcript.pyannote[2416].speaker |
SPEAKER_43 |
transcript.pyannote[2416].start |
13350.97409375 |
transcript.pyannote[2416].end |
13367.32596875 |
transcript.pyannote[2417].speaker |
SPEAKER_05 |
transcript.pyannote[2417].start |
13366.78596875 |
transcript.pyannote[2417].end |
13370.02596875 |
transcript.pyannote[2418].speaker |
SPEAKER_43 |
transcript.pyannote[2418].start |
13369.21596875 |
transcript.pyannote[2418].end |
13399.03409375 |
transcript.pyannote[2419].speaker |
SPEAKER_05 |
transcript.pyannote[2419].start |
13399.03409375 |
transcript.pyannote[2419].end |
13407.67409375 |
transcript.pyannote[2420].speaker |
SPEAKER_31 |
transcript.pyannote[2420].start |
13404.73784375 |
transcript.pyannote[2420].end |
13405.44659375 |
transcript.pyannote[2421].speaker |
SPEAKER_05 |
transcript.pyannote[2421].start |
13408.31534375 |
transcript.pyannote[2421].end |
13410.52596875 |
transcript.pyannote[2422].speaker |
SPEAKER_31 |
transcript.pyannote[2422].start |
13409.34471875 |
transcript.pyannote[2422].end |
13409.42909375 |
transcript.pyannote[2423].speaker |
SPEAKER_43 |
transcript.pyannote[2423].start |
13409.42909375 |
transcript.pyannote[2423].end |
13409.44596875 |
transcript.pyannote[2424].speaker |
SPEAKER_31 |
transcript.pyannote[2424].start |
13409.44596875 |
transcript.pyannote[2424].end |
13409.46284375 |
transcript.pyannote[2425].speaker |
SPEAKER_43 |
transcript.pyannote[2425].start |
13409.46284375 |
transcript.pyannote[2425].end |
13409.54721875 |
transcript.pyannote[2426].speaker |
SPEAKER_31 |
transcript.pyannote[2426].start |
13409.54721875 |
transcript.pyannote[2426].end |
13409.58096875 |
transcript.pyannote[2427].speaker |
SPEAKER_43 |
transcript.pyannote[2427].start |
13409.58096875 |
transcript.pyannote[2427].end |
13409.63159375 |
transcript.pyannote[2428].speaker |
SPEAKER_31 |
transcript.pyannote[2428].start |
13409.63159375 |
transcript.pyannote[2428].end |
13409.64846875 |
transcript.pyannote[2429].speaker |
SPEAKER_31 |
transcript.pyannote[2429].start |
13410.64409375 |
transcript.pyannote[2429].end |
13411.01534375 |
transcript.pyannote[2430].speaker |
SPEAKER_05 |
transcript.pyannote[2430].start |
13411.33596875 |
transcript.pyannote[2430].end |
13414.89659375 |
transcript.pyannote[2431].speaker |
SPEAKER_43 |
transcript.pyannote[2431].start |
13413.12471875 |
transcript.pyannote[2431].end |
13413.36096875 |
transcript.pyannote[2432].speaker |
SPEAKER_43 |
transcript.pyannote[2432].start |
13414.54221875 |
transcript.pyannote[2432].end |
13423.78971875 |
transcript.pyannote[2433].speaker |
SPEAKER_05 |
transcript.pyannote[2433].start |
13423.78971875 |
transcript.pyannote[2433].end |
13429.91534375 |
transcript.pyannote[2434].speaker |
SPEAKER_17 |
transcript.pyannote[2434].start |
13429.96596875 |
transcript.pyannote[2434].end |
13431.06284375 |
transcript.pyannote[2435].speaker |
SPEAKER_05 |
transcript.pyannote[2435].start |
13434.45471875 |
transcript.pyannote[2435].end |
13434.47159375 |
transcript.pyannote[2436].speaker |
SPEAKER_10 |
transcript.pyannote[2436].start |
13434.47159375 |
transcript.pyannote[2436].end |
13438.74096875 |
transcript.pyannote[2437].speaker |
SPEAKER_29 |
transcript.pyannote[2437].start |
13450.43534375 |
transcript.pyannote[2437].end |
13453.23659375 |
transcript.pyannote[2438].speaker |
SPEAKER_29 |
transcript.pyannote[2438].start |
13453.89471875 |
transcript.pyannote[2438].end |
13455.98721875 |
transcript.pyannote[2439].speaker |
SPEAKER_29 |
transcript.pyannote[2439].start |
13456.81409375 |
transcript.pyannote[2439].end |
13458.02909375 |
transcript.pyannote[2440].speaker |
SPEAKER_10 |
transcript.pyannote[2440].start |
13458.02909375 |
transcript.pyannote[2440].end |
13459.00784375 |
transcript.pyannote[2441].speaker |
SPEAKER_29 |
transcript.pyannote[2441].start |
13466.66909375 |
transcript.pyannote[2441].end |
13469.33534375 |
transcript.pyannote[2442].speaker |
SPEAKER_29 |
transcript.pyannote[2442].start |
13469.84159375 |
transcript.pyannote[2442].end |
13471.30971875 |
transcript.pyannote[2443].speaker |
SPEAKER_29 |
transcript.pyannote[2443].start |
13472.13659375 |
transcript.pyannote[2443].end |
13472.74409375 |
transcript.pyannote[2444].speaker |
SPEAKER_29 |
transcript.pyannote[2444].start |
13473.85784375 |
transcript.pyannote[2444].end |
13475.42721875 |
transcript.pyannote[2445].speaker |
SPEAKER_18 |
transcript.pyannote[2445].start |
13476.10221875 |
transcript.pyannote[2445].end |
13483.59471875 |
transcript.pyannote[2446].speaker |
SPEAKER_29 |
transcript.pyannote[2446].start |
13483.20659375 |
transcript.pyannote[2446].end |
13484.65784375 |
transcript.pyannote[2447].speaker |
SPEAKER_18 |
transcript.pyannote[2447].start |
13484.65784375 |
transcript.pyannote[2447].end |
13486.09221875 |
transcript.pyannote[2448].speaker |
SPEAKER_29 |
transcript.pyannote[2448].start |
13485.78846875 |
transcript.pyannote[2448].end |
13491.07034375 |
transcript.pyannote[2449].speaker |
SPEAKER_18 |
transcript.pyannote[2449].start |
13491.20534375 |
transcript.pyannote[2449].end |
13491.32346875 |
transcript.pyannote[2450].speaker |
SPEAKER_31 |
transcript.pyannote[2450].start |
13491.32346875 |
transcript.pyannote[2450].end |
13491.61034375 |
transcript.pyannote[2451].speaker |
SPEAKER_18 |
transcript.pyannote[2451].start |
13491.61034375 |
transcript.pyannote[2451].end |
13491.66096875 |
transcript.pyannote[2452].speaker |
SPEAKER_29 |
transcript.pyannote[2452].start |
13491.66096875 |
transcript.pyannote[2452].end |
13493.06159375 |
transcript.pyannote[2453].speaker |
SPEAKER_29 |
transcript.pyannote[2453].start |
13493.70284375 |
transcript.pyannote[2453].end |
13496.03159375 |
transcript.pyannote[2454].speaker |
SPEAKER_29 |
transcript.pyannote[2454].start |
13496.20034375 |
transcript.pyannote[2454].end |
13499.60909375 |
transcript.pyannote[2455].speaker |
SPEAKER_30 |
transcript.pyannote[2455].start |
13500.23346875 |
transcript.pyannote[2455].end |
13501.36409375 |
transcript.pyannote[2456].speaker |
SPEAKER_29 |
transcript.pyannote[2456].start |
13500.38534375 |
transcript.pyannote[2456].end |
13502.17409375 |
transcript.pyannote[2457].speaker |
SPEAKER_29 |
transcript.pyannote[2457].start |
13502.49471875 |
transcript.pyannote[2457].end |
13504.04721875 |
transcript.pyannote[2458].speaker |
SPEAKER_29 |
transcript.pyannote[2458].start |
13505.26221875 |
transcript.pyannote[2458].end |
13516.63596875 |
transcript.pyannote[2459].speaker |
SPEAKER_30 |
transcript.pyannote[2459].start |
13516.43346875 |
transcript.pyannote[2459].end |
13516.83846875 |
transcript.pyannote[2460].speaker |
SPEAKER_29 |
transcript.pyannote[2460].start |
13516.83846875 |
transcript.pyannote[2460].end |
13520.09534375 |
transcript.pyannote[2461].speaker |
SPEAKER_29 |
transcript.pyannote[2461].start |
13520.51721875 |
transcript.pyannote[2461].end |
13521.91784375 |
transcript.pyannote[2462].speaker |
SPEAKER_29 |
transcript.pyannote[2462].start |
13522.67721875 |
transcript.pyannote[2462].end |
13539.97409375 |
transcript.pyannote[2463].speaker |
SPEAKER_18 |
transcript.pyannote[2463].start |
13540.80096875 |
transcript.pyannote[2463].end |
13562.87346875 |
transcript.pyannote[2464].speaker |
SPEAKER_29 |
transcript.pyannote[2464].start |
13562.40096875 |
transcript.pyannote[2464].end |
13596.75846875 |
transcript.pyannote[2465].speaker |
SPEAKER_29 |
transcript.pyannote[2465].start |
13597.21409375 |
transcript.pyannote[2465].end |
13605.70221875 |
transcript.pyannote[2466].speaker |
SPEAKER_29 |
transcript.pyannote[2466].start |
13606.10721875 |
transcript.pyannote[2466].end |
13607.69346875 |
transcript.pyannote[2467].speaker |
SPEAKER_42 |
transcript.pyannote[2467].start |
13608.50346875 |
transcript.pyannote[2467].end |
13612.45221875 |
transcript.pyannote[2468].speaker |
SPEAKER_29 |
transcript.pyannote[2468].start |
13612.62096875 |
transcript.pyannote[2468].end |
13618.52721875 |
transcript.pyannote[2469].speaker |
SPEAKER_29 |
transcript.pyannote[2469].start |
13618.98284375 |
transcript.pyannote[2469].end |
13622.96534375 |
transcript.pyannote[2470].speaker |
SPEAKER_29 |
transcript.pyannote[2470].start |
13623.53909375 |
transcript.pyannote[2470].end |
13630.27221875 |
transcript.pyannote[2471].speaker |
SPEAKER_29 |
transcript.pyannote[2471].start |
13631.13284375 |
transcript.pyannote[2471].end |
13640.17784375 |
transcript.pyannote[2472].speaker |
SPEAKER_18 |
transcript.pyannote[2472].start |
13640.80221875 |
transcript.pyannote[2472].end |
13644.71721875 |
transcript.pyannote[2473].speaker |
SPEAKER_29 |
transcript.pyannote[2473].start |
13644.71721875 |
transcript.pyannote[2473].end |
13645.35846875 |
transcript.pyannote[2474].speaker |
SPEAKER_29 |
transcript.pyannote[2474].start |
13646.45534375 |
transcript.pyannote[2474].end |
13646.89409375 |
transcript.pyannote[2475].speaker |
SPEAKER_29 |
transcript.pyannote[2475].start |
13647.83909375 |
transcript.pyannote[2475].end |
13647.85596875 |
transcript.pyannote[2476].speaker |
SPEAKER_18 |
transcript.pyannote[2476].start |
13647.85596875 |
transcript.pyannote[2476].end |
13648.96971875 |
transcript.pyannote[2477].speaker |
SPEAKER_29 |
transcript.pyannote[2477].start |
13648.96971875 |
transcript.pyannote[2477].end |
13649.03721875 |
transcript.pyannote[2478].speaker |
SPEAKER_29 |
transcript.pyannote[2478].start |
13656.02346875 |
transcript.pyannote[2478].end |
13663.00971875 |
transcript.pyannote[2479].speaker |
SPEAKER_18 |
transcript.pyannote[2479].start |
13663.14471875 |
transcript.pyannote[2479].end |
13665.30471875 |
transcript.pyannote[2480].speaker |
SPEAKER_29 |
transcript.pyannote[2480].start |
13663.58346875 |
transcript.pyannote[2480].end |
13663.70159375 |
transcript.pyannote[2481].speaker |
SPEAKER_29 |
transcript.pyannote[2481].start |
13665.00096875 |
transcript.pyannote[2481].end |
13666.36784375 |
transcript.pyannote[2482].speaker |
SPEAKER_29 |
transcript.pyannote[2482].start |
13666.92471875 |
transcript.pyannote[2482].end |
13669.03409375 |
transcript.pyannote[2483].speaker |
SPEAKER_29 |
transcript.pyannote[2483].start |
13669.92846875 |
transcript.pyannote[2483].end |
13671.58221875 |
transcript.pyannote[2484].speaker |
SPEAKER_18 |
transcript.pyannote[2484].start |
13671.66659375 |
transcript.pyannote[2484].end |
13697.40096875 |
transcript.pyannote[2485].speaker |
SPEAKER_29 |
transcript.pyannote[2485].start |
13674.46784375 |
transcript.pyannote[2485].end |
13674.85596875 |
transcript.pyannote[2486].speaker |
SPEAKER_29 |
transcript.pyannote[2486].start |
13696.47284375 |
transcript.pyannote[2486].end |
13697.14784375 |
transcript.pyannote[2487].speaker |
SPEAKER_29 |
transcript.pyannote[2487].start |
13697.40096875 |
transcript.pyannote[2487].end |
13700.92784375 |
transcript.pyannote[2488].speaker |
SPEAKER_18 |
transcript.pyannote[2488].start |
13700.92784375 |
transcript.pyannote[2488].end |
13710.27659375 |
transcript.pyannote[2489].speaker |
SPEAKER_18 |
transcript.pyannote[2489].start |
13710.91784375 |
transcript.pyannote[2489].end |
13710.98534375 |
transcript.pyannote[2490].speaker |
SPEAKER_29 |
transcript.pyannote[2490].start |
13710.98534375 |
transcript.pyannote[2490].end |
13711.39034375 |
transcript.pyannote[2491].speaker |
SPEAKER_18 |
transcript.pyannote[2491].start |
13711.39034375 |
transcript.pyannote[2491].end |
13711.96409375 |
transcript.pyannote[2492].speaker |
SPEAKER_29 |
transcript.pyannote[2492].start |
13711.96409375 |
transcript.pyannote[2492].end |
13733.17596875 |
transcript.pyannote[2493].speaker |
SPEAKER_29 |
transcript.pyannote[2493].start |
13733.29409375 |
transcript.pyannote[2493].end |
13742.25471875 |
transcript.pyannote[2494].speaker |
SPEAKER_18 |
transcript.pyannote[2494].start |
13743.60471875 |
transcript.pyannote[2494].end |
13743.89159375 |
transcript.pyannote[2495].speaker |
SPEAKER_27 |
transcript.pyannote[2495].start |
13743.89159375 |
transcript.pyannote[2495].end |
13743.95909375 |
transcript.pyannote[2496].speaker |
SPEAKER_27 |
transcript.pyannote[2496].start |
13743.97596875 |
transcript.pyannote[2496].end |
13744.02659375 |
transcript.pyannote[2497].speaker |
SPEAKER_18 |
transcript.pyannote[2497].start |
13744.48221875 |
transcript.pyannote[2497].end |
13744.53284375 |
transcript.pyannote[2498].speaker |
SPEAKER_27 |
transcript.pyannote[2498].start |
13744.53284375 |
transcript.pyannote[2498].end |
13744.76909375 |
transcript.pyannote[2499].speaker |
SPEAKER_27 |
transcript.pyannote[2499].start |
13746.38909375 |
transcript.pyannote[2499].end |
13754.40471875 |
transcript.pyannote[2500].speaker |
SPEAKER_18 |
transcript.pyannote[2500].start |
13753.12221875 |
transcript.pyannote[2500].end |
13759.97346875 |
transcript.pyannote[2501].speaker |
SPEAKER_27 |
transcript.pyannote[2501].start |
13755.24846875 |
transcript.pyannote[2501].end |
13755.94034375 |
transcript.pyannote[2502].speaker |
SPEAKER_29 |
transcript.pyannote[2502].start |
13755.94034375 |
transcript.pyannote[2502].end |
13755.97409375 |
transcript.pyannote[2503].speaker |
SPEAKER_29 |
transcript.pyannote[2503].start |
13757.10471875 |
transcript.pyannote[2503].end |
13757.22284375 |
transcript.pyannote[2504].speaker |
SPEAKER_29 |
transcript.pyannote[2504].start |
13759.68659375 |
transcript.pyannote[2504].end |
13765.25534375 |
transcript.pyannote[2505].speaker |
SPEAKER_29 |
transcript.pyannote[2505].start |
13767.09471875 |
transcript.pyannote[2505].end |
13767.68534375 |
transcript.pyannote[2506].speaker |
SPEAKER_29 |
transcript.pyannote[2506].start |
13770.04784375 |
transcript.pyannote[2506].end |
13773.00096875 |
transcript.pyannote[2507].speaker |
SPEAKER_29 |
transcript.pyannote[2507].start |
13773.67596875 |
transcript.pyannote[2507].end |
13776.69659375 |
transcript.pyannote[2508].speaker |
SPEAKER_29 |
transcript.pyannote[2508].start |
13777.96221875 |
transcript.pyannote[2508].end |
13780.44284375 |
transcript.pyannote[2509].speaker |
SPEAKER_29 |
transcript.pyannote[2509].start |
13781.15159375 |
transcript.pyannote[2509].end |
13783.76721875 |
transcript.pyannote[2510].speaker |
SPEAKER_29 |
transcript.pyannote[2510].start |
13784.37471875 |
transcript.pyannote[2510].end |
13786.31534375 |
transcript.pyannote[2511].speaker |
SPEAKER_29 |
transcript.pyannote[2511].start |
13786.55159375 |
transcript.pyannote[2511].end |
13787.56409375 |
transcript.pyannote[2512].speaker |
SPEAKER_29 |
transcript.pyannote[2512].start |
13787.59784375 |
transcript.pyannote[2512].end |
13789.77471875 |
transcript.pyannote[2513].speaker |
SPEAKER_29 |
transcript.pyannote[2513].start |
13789.96034375 |
transcript.pyannote[2513].end |
13791.58034375 |
transcript.pyannote[2514].speaker |
SPEAKER_29 |
transcript.pyannote[2514].start |
13791.95159375 |
transcript.pyannote[2514].end |
13795.15784375 |
transcript.pyannote[2515].speaker |
SPEAKER_29 |
transcript.pyannote[2515].start |
13795.71471875 |
transcript.pyannote[2515].end |
13798.83659375 |
transcript.pyannote[2516].speaker |
SPEAKER_29 |
transcript.pyannote[2516].start |
13799.32596875 |
transcript.pyannote[2516].end |
13801.57034375 |
transcript.pyannote[2517].speaker |
SPEAKER_29 |
transcript.pyannote[2517].start |
13802.04284375 |
transcript.pyannote[2517].end |
13804.20284375 |
transcript.pyannote[2518].speaker |
SPEAKER_29 |
transcript.pyannote[2518].start |
13804.96221875 |
transcript.pyannote[2518].end |
13806.46409375 |
transcript.pyannote[2519].speaker |
SPEAKER_29 |
transcript.pyannote[2519].start |
13807.34159375 |
transcript.pyannote[2519].end |
13808.94471875 |
transcript.pyannote[2520].speaker |
SPEAKER_16 |
transcript.pyannote[2520].start |
13809.56909375 |
transcript.pyannote[2520].end |
13810.41284375 |
transcript.pyannote[2521].speaker |
SPEAKER_29 |
transcript.pyannote[2521].start |
13810.41284375 |
transcript.pyannote[2521].end |
13813.43346875 |
transcript.pyannote[2522].speaker |
SPEAKER_29 |
transcript.pyannote[2522].start |
13813.56846875 |
transcript.pyannote[2522].end |
13816.26846875 |
transcript.pyannote[2523].speaker |
SPEAKER_29 |
transcript.pyannote[2523].start |
13817.01096875 |
transcript.pyannote[2523].end |
13818.31034375 |
transcript.pyannote[2524].speaker |
SPEAKER_29 |
transcript.pyannote[2524].start |
13818.86721875 |
transcript.pyannote[2524].end |
13820.75721875 |
transcript.pyannote[2525].speaker |
SPEAKER_29 |
transcript.pyannote[2525].start |
13821.38159375 |
transcript.pyannote[2525].end |
13824.01409375 |
transcript.pyannote[2526].speaker |
SPEAKER_29 |
transcript.pyannote[2526].start |
13824.52034375 |
transcript.pyannote[2526].end |
13831.72596875 |
transcript.pyannote[2527].speaker |
SPEAKER_29 |
transcript.pyannote[2527].start |
13832.62034375 |
transcript.pyannote[2527].end |
13833.34596875 |
transcript.pyannote[2528].speaker |
SPEAKER_29 |
transcript.pyannote[2528].start |
13834.25721875 |
transcript.pyannote[2528].end |
13841.10846875 |
transcript.pyannote[2529].speaker |
SPEAKER_29 |
transcript.pyannote[2529].start |
13841.81721875 |
transcript.pyannote[2529].end |
13842.59346875 |
transcript.pyannote[2530].speaker |
SPEAKER_29 |
transcript.pyannote[2530].start |
13842.66096875 |
transcript.pyannote[2530].end |
13842.76221875 |
transcript.pyannote[2531].speaker |
SPEAKER_29 |
transcript.pyannote[2531].start |
13842.96471875 |
transcript.pyannote[2531].end |
13843.04909375 |
transcript.pyannote[2532].speaker |
SPEAKER_29 |
transcript.pyannote[2532].start |
13843.11659375 |
transcript.pyannote[2532].end |
13851.41909375 |
transcript.pyannote[2533].speaker |
SPEAKER_29 |
transcript.pyannote[2533].start |
13851.75659375 |
transcript.pyannote[2533].end |
13856.59971875 |
transcript.pyannote[2534].speaker |
SPEAKER_29 |
transcript.pyannote[2534].start |
13856.80221875 |
transcript.pyannote[2534].end |
13866.11721875 |
transcript.pyannote[2535].speaker |
SPEAKER_29 |
transcript.pyannote[2535].start |
13866.35346875 |
transcript.pyannote[2535].end |
13869.77909375 |
transcript.pyannote[2536].speaker |
SPEAKER_29 |
transcript.pyannote[2536].start |
13870.11659375 |
transcript.pyannote[2536].end |
13873.27221875 |
transcript.pyannote[2537].speaker |
SPEAKER_29 |
transcript.pyannote[2537].start |
13873.74471875 |
transcript.pyannote[2537].end |
13875.39846875 |
transcript.pyannote[2538].speaker |
SPEAKER_29 |
transcript.pyannote[2538].start |
13875.78659375 |
transcript.pyannote[2538].end |
13876.98471875 |
transcript.pyannote[2539].speaker |
SPEAKER_29 |
transcript.pyannote[2539].start |
13878.06471875 |
transcript.pyannote[2539].end |
13881.82784375 |
transcript.pyannote[2540].speaker |
SPEAKER_29 |
transcript.pyannote[2540].start |
13882.31721875 |
transcript.pyannote[2540].end |
13885.50659375 |
transcript.pyannote[2541].speaker |
SPEAKER_18 |
transcript.pyannote[2541].start |
13885.59096875 |
transcript.pyannote[2541].end |
13886.19846875 |
transcript.pyannote[2542].speaker |
SPEAKER_29 |
transcript.pyannote[2542].start |
13886.35034375 |
transcript.pyannote[2542].end |
13886.77221875 |
transcript.pyannote[2543].speaker |
SPEAKER_18 |
transcript.pyannote[2543].start |
13887.49784375 |
transcript.pyannote[2543].end |
13888.81409375 |
transcript.pyannote[2544].speaker |
SPEAKER_29 |
transcript.pyannote[2544].start |
13888.81409375 |
transcript.pyannote[2544].end |
13889.62409375 |
transcript.pyannote[2545].speaker |
SPEAKER_18 |
transcript.pyannote[2545].start |
13888.84784375 |
transcript.pyannote[2545].end |
13889.42159375 |
transcript.pyannote[2546].speaker |
SPEAKER_18 |
transcript.pyannote[2546].start |
13889.62409375 |
transcript.pyannote[2546].end |
13889.65784375 |
transcript.pyannote[2547].speaker |
SPEAKER_29 |
transcript.pyannote[2547].start |
13889.65784375 |
transcript.pyannote[2547].end |
13890.83909375 |
transcript.pyannote[2548].speaker |
SPEAKER_29 |
transcript.pyannote[2548].start |
13890.97409375 |
transcript.pyannote[2548].end |
13897.52159375 |
transcript.pyannote[2549].speaker |
SPEAKER_29 |
transcript.pyannote[2549].start |
13898.12909375 |
transcript.pyannote[2549].end |
13898.83784375 |
transcript.pyannote[2550].speaker |
SPEAKER_29 |
transcript.pyannote[2550].start |
13899.52971875 |
transcript.pyannote[2550].end |
13901.28471875 |
transcript.pyannote[2551].speaker |
SPEAKER_29 |
transcript.pyannote[2551].start |
13901.92596875 |
transcript.pyannote[2551].end |
13905.77346875 |
transcript.pyannote[2552].speaker |
SPEAKER_29 |
transcript.pyannote[2552].start |
13906.16159375 |
transcript.pyannote[2552].end |
13909.09784375 |
transcript.pyannote[2553].speaker |
SPEAKER_29 |
transcript.pyannote[2553].start |
13909.92471875 |
transcript.pyannote[2553].end |
13915.18971875 |
transcript.pyannote[2554].speaker |
SPEAKER_29 |
transcript.pyannote[2554].start |
13916.25284375 |
transcript.pyannote[2554].end |
13921.02846875 |
transcript.pyannote[2555].speaker |
SPEAKER_29 |
transcript.pyannote[2555].start |
13921.70346875 |
transcript.pyannote[2555].end |
13923.66096875 |
transcript.pyannote[2556].speaker |
SPEAKER_29 |
transcript.pyannote[2556].start |
13923.91409375 |
transcript.pyannote[2556].end |
13924.92659375 |
transcript.pyannote[2557].speaker |
SPEAKER_29 |
transcript.pyannote[2557].start |
13925.65221875 |
transcript.pyannote[2557].end |
13929.65159375 |
transcript.pyannote[2558].speaker |
SPEAKER_31 |
transcript.pyannote[2558].start |
13929.65159375 |
transcript.pyannote[2558].end |
13929.93846875 |
transcript.pyannote[2559].speaker |
SPEAKER_29 |
transcript.pyannote[2559].start |
13929.93846875 |
transcript.pyannote[2559].end |
13935.50721875 |
transcript.pyannote[2560].speaker |
SPEAKER_29 |
transcript.pyannote[2560].start |
13935.87846875 |
transcript.pyannote[2560].end |
13936.30034375 |
transcript.pyannote[2561].speaker |
SPEAKER_31 |
transcript.pyannote[2561].start |
13936.36784375 |
transcript.pyannote[2561].end |
13937.02596875 |
transcript.pyannote[2562].speaker |
SPEAKER_29 |
transcript.pyannote[2562].start |
13936.70534375 |
transcript.pyannote[2562].end |
13948.92284375 |
transcript.pyannote[2563].speaker |
SPEAKER_29 |
transcript.pyannote[2563].start |
13949.73284375 |
transcript.pyannote[2563].end |
13951.11659375 |
transcript.pyannote[2564].speaker |
SPEAKER_29 |
transcript.pyannote[2564].start |
13951.36971875 |
transcript.pyannote[2564].end |
13954.15409375 |
transcript.pyannote[2565].speaker |
SPEAKER_29 |
transcript.pyannote[2565].start |
13954.84596875 |
transcript.pyannote[2565].end |
13959.58784375 |
transcript.pyannote[2566].speaker |
SPEAKER_29 |
transcript.pyannote[2566].start |
13959.92534375 |
transcript.pyannote[2566].end |
13990.57034375 |
transcript.pyannote[2567].speaker |
SPEAKER_30 |
transcript.pyannote[2567].start |
13984.59659375 |
transcript.pyannote[2567].end |
13984.86659375 |
transcript.pyannote[2568].speaker |
SPEAKER_29 |
transcript.pyannote[2568].start |
13990.68846875 |
transcript.pyannote[2568].end |
13992.42659375 |
transcript.pyannote[2569].speaker |
SPEAKER_29 |
transcript.pyannote[2569].start |
13993.08471875 |
transcript.pyannote[2569].end |
13998.02909375 |
transcript.pyannote[2570].speaker |
SPEAKER_29 |
transcript.pyannote[2570].start |
13999.32846875 |
transcript.pyannote[2570].end |
14002.68659375 |
transcript.pyannote[2571].speaker |
SPEAKER_29 |
transcript.pyannote[2571].start |
14003.49659375 |
transcript.pyannote[2571].end |
14006.21346875 |
transcript.pyannote[2572].speaker |
SPEAKER_29 |
transcript.pyannote[2572].start |
14006.87159375 |
transcript.pyannote[2572].end |
14014.75221875 |
transcript.pyannote[2573].speaker |
SPEAKER_29 |
transcript.pyannote[2573].start |
14015.19096875 |
transcript.pyannote[2573].end |
14018.73471875 |
transcript.pyannote[2574].speaker |
SPEAKER_29 |
transcript.pyannote[2574].start |
14019.66284375 |
transcript.pyannote[2574].end |
14020.18596875 |
transcript.pyannote[2575].speaker |
SPEAKER_29 |
transcript.pyannote[2575].start |
14020.92846875 |
transcript.pyannote[2575].end |
14022.31221875 |
transcript.pyannote[2576].speaker |
SPEAKER_29 |
transcript.pyannote[2576].start |
14022.78471875 |
transcript.pyannote[2576].end |
14048.23221875 |
transcript.pyannote[2577].speaker |
SPEAKER_29 |
transcript.pyannote[2577].start |
14048.41784375 |
transcript.pyannote[2577].end |
14050.91534375 |
transcript.pyannote[2578].speaker |
SPEAKER_18 |
transcript.pyannote[2578].start |
14052.36659375 |
transcript.pyannote[2578].end |
14072.92034375 |
transcript.pyannote[2579].speaker |
SPEAKER_00 |
transcript.pyannote[2579].start |
14057.15909375 |
transcript.pyannote[2579].end |
14057.56409375 |
transcript.pyannote[2580].speaker |
SPEAKER_18 |
transcript.pyannote[2580].start |
14073.57846875 |
transcript.pyannote[2580].end |
14074.08471875 |
transcript.pyannote[2581].speaker |
SPEAKER_09 |
transcript.pyannote[2581].start |
14074.97909375 |
transcript.pyannote[2581].end |
14085.93096875 |
transcript.pyannote[2582].speaker |
SPEAKER_18 |
transcript.pyannote[2582].start |
14075.08034375 |
transcript.pyannote[2582].end |
14076.73409375 |
transcript.pyannote[2583].speaker |
SPEAKER_29 |
transcript.pyannote[2583].start |
14085.08721875 |
transcript.pyannote[2583].end |
14087.39909375 |
transcript.pyannote[2584].speaker |
SPEAKER_09 |
transcript.pyannote[2584].start |
14086.11659375 |
transcript.pyannote[2584].end |
14086.20096875 |
transcript.pyannote[2585].speaker |
SPEAKER_09 |
transcript.pyannote[2585].start |
14086.57221875 |
transcript.pyannote[2585].end |
14087.01096875 |
transcript.pyannote[2586].speaker |
SPEAKER_09 |
transcript.pyannote[2586].start |
14088.07409375 |
transcript.pyannote[2586].end |
14090.72346875 |
transcript.pyannote[2587].speaker |
SPEAKER_29 |
transcript.pyannote[2587].start |
14088.10784375 |
transcript.pyannote[2587].end |
14088.56346875 |
transcript.pyannote[2588].speaker |
SPEAKER_29 |
transcript.pyannote[2588].start |
14090.72346875 |
transcript.pyannote[2588].end |
14097.16971875 |
transcript.pyannote[2589].speaker |
SPEAKER_09 |
transcript.pyannote[2589].start |
14090.80784375 |
transcript.pyannote[2589].end |
14091.73596875 |
transcript.pyannote[2590].speaker |
SPEAKER_29 |
transcript.pyannote[2590].start |
14097.74346875 |
transcript.pyannote[2590].end |
14103.07596875 |
transcript.pyannote[2591].speaker |
SPEAKER_18 |
transcript.pyannote[2591].start |
14103.07596875 |
transcript.pyannote[2591].end |
14103.37971875 |
transcript.pyannote[2592].speaker |
SPEAKER_29 |
transcript.pyannote[2592].start |
14103.37971875 |
transcript.pyannote[2592].end |
14105.43846875 |
transcript.pyannote[2593].speaker |
SPEAKER_18 |
transcript.pyannote[2593].start |
14103.43034375 |
transcript.pyannote[2593].end |
14103.44721875 |
transcript.pyannote[2594].speaker |
SPEAKER_29 |
transcript.pyannote[2594].start |
14105.97846875 |
transcript.pyannote[2594].end |
14113.15034375 |
transcript.pyannote[2595].speaker |
SPEAKER_18 |
transcript.pyannote[2595].start |
14106.01221875 |
transcript.pyannote[2595].end |
14106.31596875 |
transcript.pyannote[2596].speaker |
SPEAKER_30 |
transcript.pyannote[2596].start |
14113.47096875 |
transcript.pyannote[2596].end |
14113.48784375 |
transcript.pyannote[2597].speaker |
SPEAKER_31 |
transcript.pyannote[2597].start |
14113.48784375 |
transcript.pyannote[2597].end |
14113.62284375 |
transcript.pyannote[2598].speaker |
SPEAKER_29 |
transcript.pyannote[2598].start |
14113.62284375 |
transcript.pyannote[2598].end |
14114.56784375 |
transcript.pyannote[2599].speaker |
SPEAKER_29 |
transcript.pyannote[2599].start |
14114.77034375 |
transcript.pyannote[2599].end |
14117.94284375 |
transcript.pyannote[2600].speaker |
SPEAKER_29 |
transcript.pyannote[2600].start |
14118.34784375 |
transcript.pyannote[2600].end |
14119.56284375 |
transcript.pyannote[2601].speaker |
SPEAKER_29 |
transcript.pyannote[2601].start |
14120.27159375 |
transcript.pyannote[2601].end |
14128.23659375 |
transcript.pyannote[2602].speaker |
SPEAKER_29 |
transcript.pyannote[2602].start |
14128.72596875 |
transcript.pyannote[2602].end |
14133.21471875 |
transcript.pyannote[2603].speaker |
SPEAKER_31 |
transcript.pyannote[2603].start |
14133.21471875 |
transcript.pyannote[2603].end |
14133.24846875 |
transcript.pyannote[2604].speaker |
SPEAKER_29 |
transcript.pyannote[2604].start |
14133.24846875 |
transcript.pyannote[2604].end |
14137.51784375 |
transcript.pyannote[2605].speaker |
SPEAKER_31 |
transcript.pyannote[2605].start |
14137.75409375 |
transcript.pyannote[2605].end |
14137.85534375 |
transcript.pyannote[2606].speaker |
SPEAKER_29 |
transcript.pyannote[2606].start |
14137.85534375 |
transcript.pyannote[2606].end |
14141.33159375 |
transcript.pyannote[2607].speaker |
SPEAKER_29 |
transcript.pyannote[2607].start |
14141.73659375 |
transcript.pyannote[2607].end |
14143.37346875 |
transcript.pyannote[2608].speaker |
SPEAKER_18 |
transcript.pyannote[2608].start |
14143.60971875 |
transcript.pyannote[2608].end |
14143.66034375 |
transcript.pyannote[2609].speaker |
SPEAKER_29 |
transcript.pyannote[2609].start |
14143.66034375 |
transcript.pyannote[2609].end |
14148.16596875 |
transcript.pyannote[2610].speaker |
SPEAKER_18 |
transcript.pyannote[2610].start |
14148.16596875 |
transcript.pyannote[2610].end |
14149.11096875 |
transcript.pyannote[2611].speaker |
SPEAKER_29 |
transcript.pyannote[2611].start |
14148.68909375 |
transcript.pyannote[2611].end |
14149.36409375 |
transcript.pyannote[2612].speaker |
SPEAKER_43 |
transcript.pyannote[2612].start |
14153.83596875 |
transcript.pyannote[2612].end |
14156.78909375 |
transcript.pyannote[2613].speaker |
SPEAKER_33 |
transcript.pyannote[2613].start |
14161.53096875 |
transcript.pyannote[2613].end |
14166.39096875 |
transcript.pyannote[2614].speaker |
SPEAKER_10 |
transcript.pyannote[2614].start |
14167.26846875 |
transcript.pyannote[2614].end |
14169.31034375 |
transcript.pyannote[2615].speaker |
SPEAKER_33 |
transcript.pyannote[2615].start |
14176.29659375 |
transcript.pyannote[2615].end |
14177.83221875 |
transcript.pyannote[2616].speaker |
SPEAKER_10 |
transcript.pyannote[2616].start |
14177.22471875 |
transcript.pyannote[2616].end |
14177.71409375 |
transcript.pyannote[2617].speaker |
SPEAKER_33 |
transcript.pyannote[2617].start |
14178.64221875 |
transcript.pyannote[2617].end |
14180.38034375 |
transcript.pyannote[2618].speaker |
SPEAKER_33 |
transcript.pyannote[2618].start |
14180.80221875 |
transcript.pyannote[2618].end |
14182.69221875 |
transcript.pyannote[2619].speaker |
SPEAKER_33 |
transcript.pyannote[2619].start |
14182.91159375 |
transcript.pyannote[2619].end |
14184.81846875 |
transcript.pyannote[2620].speaker |
SPEAKER_33 |
transcript.pyannote[2620].start |
14185.13909375 |
transcript.pyannote[2620].end |
14186.05034375 |
transcript.pyannote[2621].speaker |
SPEAKER_33 |
transcript.pyannote[2621].start |
14186.20221875 |
transcript.pyannote[2621].end |
14197.62659375 |
transcript.pyannote[2622].speaker |
SPEAKER_33 |
transcript.pyannote[2622].start |
14198.04846875 |
transcript.pyannote[2622].end |
14208.40971875 |
transcript.pyannote[2623].speaker |
SPEAKER_31 |
transcript.pyannote[2623].start |
14208.47721875 |
transcript.pyannote[2623].end |
14208.86534375 |
transcript.pyannote[2624].speaker |
SPEAKER_33 |
transcript.pyannote[2624].start |
14209.13534375 |
transcript.pyannote[2624].end |
14214.34971875 |
transcript.pyannote[2625].speaker |
SPEAKER_31 |
transcript.pyannote[2625].start |
14213.47221875 |
transcript.pyannote[2625].end |
14214.28221875 |
transcript.pyannote[2626].speaker |
SPEAKER_33 |
transcript.pyannote[2626].start |
14214.65346875 |
transcript.pyannote[2626].end |
14215.64909375 |
transcript.pyannote[2627].speaker |
SPEAKER_30 |
transcript.pyannote[2627].start |
14215.39596875 |
transcript.pyannote[2627].end |
14215.41284375 |
transcript.pyannote[2628].speaker |
SPEAKER_00 |
transcript.pyannote[2628].start |
14215.41284375 |
transcript.pyannote[2628].end |
14215.46346875 |
transcript.pyannote[2629].speaker |
SPEAKER_33 |
transcript.pyannote[2629].start |
14216.10471875 |
transcript.pyannote[2629].end |
14217.10034375 |
transcript.pyannote[2630].speaker |
SPEAKER_33 |
transcript.pyannote[2630].start |
14217.31971875 |
transcript.pyannote[2630].end |
14218.78784375 |
transcript.pyannote[2631].speaker |
SPEAKER_33 |
transcript.pyannote[2631].start |
14219.09159375 |
transcript.pyannote[2631].end |
14227.59659375 |
transcript.pyannote[2632].speaker |
SPEAKER_33 |
transcript.pyannote[2632].start |
14228.81159375 |
transcript.pyannote[2632].end |
14236.27034375 |
transcript.pyannote[2633].speaker |
SPEAKER_18 |
transcript.pyannote[2633].start |
14236.47284375 |
transcript.pyannote[2633].end |
14240.80971875 |
transcript.pyannote[2634].speaker |
SPEAKER_33 |
transcript.pyannote[2634].start |
14241.41721875 |
transcript.pyannote[2634].end |
14241.43409375 |
transcript.pyannote[2635].speaker |
SPEAKER_12 |
transcript.pyannote[2635].start |
14241.43409375 |
transcript.pyannote[2635].end |
14241.45096875 |
transcript.pyannote[2636].speaker |
SPEAKER_33 |
transcript.pyannote[2636].start |
14241.45096875 |
transcript.pyannote[2636].end |
14242.37909375 |
transcript.pyannote[2637].speaker |
SPEAKER_12 |
transcript.pyannote[2637].start |
14242.37909375 |
transcript.pyannote[2637].end |
14242.41284375 |
transcript.pyannote[2638].speaker |
SPEAKER_33 |
transcript.pyannote[2638].start |
14242.41284375 |
transcript.pyannote[2638].end |
14242.42971875 |
transcript.pyannote[2639].speaker |
SPEAKER_12 |
transcript.pyannote[2639].start |
14242.42971875 |
transcript.pyannote[2639].end |
14242.48034375 |
transcript.pyannote[2640].speaker |
SPEAKER_33 |
transcript.pyannote[2640].start |
14242.48034375 |
transcript.pyannote[2640].end |
14242.51409375 |
transcript.pyannote[2641].speaker |
SPEAKER_12 |
transcript.pyannote[2641].start |
14242.51409375 |
transcript.pyannote[2641].end |
14242.53096875 |
transcript.pyannote[2642].speaker |
SPEAKER_33 |
transcript.pyannote[2642].start |
14242.53096875 |
transcript.pyannote[2642].end |
14243.91471875 |
transcript.pyannote[2643].speaker |
SPEAKER_12 |
transcript.pyannote[2643].start |
14242.73346875 |
transcript.pyannote[2643].end |
14262.78096875 |
transcript.pyannote[2644].speaker |
SPEAKER_33 |
transcript.pyannote[2644].start |
14260.21596875 |
transcript.pyannote[2644].end |
14260.57034375 |
transcript.pyannote[2645].speaker |
SPEAKER_12 |
transcript.pyannote[2645].start |
14263.23659375 |
transcript.pyannote[2645].end |
14266.12221875 |
transcript.pyannote[2646].speaker |
SPEAKER_12 |
transcript.pyannote[2646].start |
14266.56096875 |
transcript.pyannote[2646].end |
14274.05346875 |
transcript.pyannote[2647].speaker |
SPEAKER_33 |
transcript.pyannote[2647].start |
14271.87659375 |
transcript.pyannote[2647].end |
14272.78784375 |
transcript.pyannote[2648].speaker |
SPEAKER_12 |
transcript.pyannote[2648].start |
14274.13784375 |
transcript.pyannote[2648].end |
14279.41971875 |
transcript.pyannote[2649].speaker |
SPEAKER_33 |
transcript.pyannote[2649].start |
14279.14971875 |
transcript.pyannote[2649].end |
14291.31659375 |
transcript.pyannote[2650].speaker |
SPEAKER_31 |
transcript.pyannote[2650].start |
14286.22034375 |
transcript.pyannote[2650].end |
14286.23721875 |
transcript.pyannote[2651].speaker |
SPEAKER_12 |
transcript.pyannote[2651].start |
14286.23721875 |
transcript.pyannote[2651].end |
14286.55784375 |
transcript.pyannote[2652].speaker |
SPEAKER_31 |
transcript.pyannote[2652].start |
14286.55784375 |
transcript.pyannote[2652].end |
14286.60846875 |
transcript.pyannote[2653].speaker |
SPEAKER_33 |
transcript.pyannote[2653].start |
14292.17721875 |
transcript.pyannote[2653].end |
14292.71721875 |
transcript.pyannote[2654].speaker |
SPEAKER_31 |
transcript.pyannote[2654].start |
14292.90284375 |
transcript.pyannote[2654].end |
14293.20659375 |
transcript.pyannote[2655].speaker |
SPEAKER_33 |
transcript.pyannote[2655].start |
14293.51034375 |
transcript.pyannote[2655].end |
14307.26346875 |
transcript.pyannote[2656].speaker |
SPEAKER_33 |
transcript.pyannote[2656].start |
14307.76971875 |
transcript.pyannote[2656].end |
14310.60471875 |
transcript.pyannote[2657].speaker |
SPEAKER_18 |
transcript.pyannote[2657].start |
14310.06471875 |
transcript.pyannote[2657].end |
14312.64659375 |
transcript.pyannote[2658].speaker |
SPEAKER_33 |
transcript.pyannote[2658].start |
14312.64659375 |
transcript.pyannote[2658].end |
14327.91846875 |
transcript.pyannote[2659].speaker |
SPEAKER_33 |
transcript.pyannote[2659].start |
14328.08721875 |
transcript.pyannote[2659].end |
14331.59721875 |
transcript.pyannote[2660].speaker |
SPEAKER_33 |
transcript.pyannote[2660].start |
14331.81659375 |
transcript.pyannote[2660].end |
14332.57596875 |
transcript.pyannote[2661].speaker |
SPEAKER_33 |
transcript.pyannote[2661].start |
14333.01471875 |
transcript.pyannote[2661].end |
14334.31409375 |
transcript.pyannote[2662].speaker |
SPEAKER_18 |
transcript.pyannote[2662].start |
14335.74846875 |
transcript.pyannote[2662].end |
14343.47721875 |
transcript.pyannote[2663].speaker |
SPEAKER_33 |
transcript.pyannote[2663].start |
14343.46034375 |
transcript.pyannote[2663].end |
14376.04596875 |
transcript.pyannote[2664].speaker |
SPEAKER_18 |
transcript.pyannote[2664].start |
14345.24909375 |
transcript.pyannote[2664].end |
14346.31221875 |
transcript.pyannote[2665].speaker |
SPEAKER_31 |
transcript.pyannote[2665].start |
14364.26721875 |
transcript.pyannote[2665].end |
14364.33471875 |
transcript.pyannote[2666].speaker |
SPEAKER_32 |
transcript.pyannote[2666].start |
14364.33471875 |
transcript.pyannote[2666].end |
14364.97596875 |
transcript.pyannote[2667].speaker |
SPEAKER_31 |
transcript.pyannote[2667].start |
14364.97596875 |
transcript.pyannote[2667].end |
14365.97159375 |
transcript.pyannote[2668].speaker |
SPEAKER_30 |
transcript.pyannote[2668].start |
14365.97159375 |
transcript.pyannote[2668].end |
14366.03909375 |
transcript.pyannote[2669].speaker |
SPEAKER_31 |
transcript.pyannote[2669].start |
14366.03909375 |
transcript.pyannote[2669].end |
14366.96721875 |
transcript.pyannote[2670].speaker |
SPEAKER_30 |
transcript.pyannote[2670].start |
14366.96721875 |
transcript.pyannote[2670].end |
14367.03471875 |
transcript.pyannote[2671].speaker |
SPEAKER_18 |
transcript.pyannote[2671].start |
14367.03471875 |
transcript.pyannote[2671].end |
14367.84471875 |
transcript.pyannote[2672].speaker |
SPEAKER_30 |
transcript.pyannote[2672].start |
14367.84471875 |
transcript.pyannote[2672].end |
14368.11471875 |
transcript.pyannote[2673].speaker |
SPEAKER_00 |
transcript.pyannote[2673].start |
14368.11471875 |
transcript.pyannote[2673].end |
14368.14846875 |
transcript.pyannote[2674].speaker |
SPEAKER_18 |
transcript.pyannote[2674].start |
14375.43846875 |
transcript.pyannote[2674].end |
14377.96971875 |
transcript.pyannote[2675].speaker |
SPEAKER_33 |
transcript.pyannote[2675].start |
14378.02034375 |
transcript.pyannote[2675].end |
14379.55596875 |
transcript.pyannote[2676].speaker |
SPEAKER_18 |
transcript.pyannote[2676].start |
14380.51784375 |
transcript.pyannote[2676].end |
14383.94346875 |
transcript.pyannote[2677].speaker |
SPEAKER_33 |
transcript.pyannote[2677].start |
14382.47534375 |
transcript.pyannote[2677].end |
14383.84221875 |
transcript.pyannote[2678].speaker |
SPEAKER_33 |
transcript.pyannote[2678].start |
14384.73659375 |
transcript.pyannote[2678].end |
14394.74346875 |
transcript.pyannote[2679].speaker |
SPEAKER_33 |
transcript.pyannote[2679].start |
14395.19909375 |
transcript.pyannote[2679].end |
14395.77284375 |
transcript.pyannote[2680].speaker |
SPEAKER_33 |
transcript.pyannote[2680].start |
14396.27909375 |
transcript.pyannote[2680].end |
14398.45596875 |
transcript.pyannote[2681].speaker |
SPEAKER_33 |
transcript.pyannote[2681].start |
14398.72596875 |
transcript.pyannote[2681].end |
14402.01659375 |
transcript.pyannote[2682].speaker |
SPEAKER_33 |
transcript.pyannote[2682].start |
14402.87721875 |
transcript.pyannote[2682].end |
14403.28221875 |
transcript.pyannote[2683].speaker |
SPEAKER_33 |
transcript.pyannote[2683].start |
14403.65346875 |
transcript.pyannote[2683].end |
14410.92659375 |
transcript.pyannote[2684].speaker |
SPEAKER_33 |
transcript.pyannote[2684].start |
14411.12909375 |
transcript.pyannote[2684].end |
14413.35659375 |
transcript.pyannote[2685].speaker |
SPEAKER_33 |
transcript.pyannote[2685].start |
14413.71096875 |
transcript.pyannote[2685].end |
14427.51471875 |
transcript.pyannote[2686].speaker |
SPEAKER_18 |
transcript.pyannote[2686].start |
14427.07596875 |
transcript.pyannote[2686].end |
14432.84721875 |
transcript.pyannote[2687].speaker |
SPEAKER_18 |
transcript.pyannote[2687].start |
14432.89784375 |
transcript.pyannote[2687].end |
14438.28096875 |
transcript.pyannote[2688].speaker |
SPEAKER_33 |
transcript.pyannote[2688].start |
14433.04971875 |
transcript.pyannote[2688].end |
14435.80034375 |
transcript.pyannote[2689].speaker |
SPEAKER_33 |
transcript.pyannote[2689].start |
14436.07034375 |
transcript.pyannote[2689].end |
14436.98159375 |
transcript.pyannote[2690].speaker |
SPEAKER_33 |
transcript.pyannote[2690].start |
14437.72409375 |
transcript.pyannote[2690].end |
14441.99346875 |
transcript.pyannote[2691].speaker |
SPEAKER_18 |
transcript.pyannote[2691].start |
14440.05284375 |
transcript.pyannote[2691].end |
14443.73159375 |
transcript.pyannote[2692].speaker |
SPEAKER_33 |
transcript.pyannote[2692].start |
14442.90471875 |
transcript.pyannote[2692].end |
14468.57159375 |
transcript.pyannote[2693].speaker |
SPEAKER_33 |
transcript.pyannote[2693].start |
14468.70659375 |
transcript.pyannote[2693].end |
14475.03471875 |
transcript.pyannote[2694].speaker |
SPEAKER_33 |
transcript.pyannote[2694].start |
14475.50721875 |
transcript.pyannote[2694].end |
14478.71346875 |
transcript.pyannote[2695].speaker |
SPEAKER_33 |
transcript.pyannote[2695].start |
14479.38846875 |
transcript.pyannote[2695].end |
14481.70034375 |
transcript.pyannote[2696].speaker |
SPEAKER_33 |
transcript.pyannote[2696].start |
14482.08846875 |
transcript.pyannote[2696].end |
14486.10471875 |
transcript.pyannote[2697].speaker |
SPEAKER_33 |
transcript.pyannote[2697].start |
14487.13409375 |
transcript.pyannote[2697].end |
14490.10409375 |
transcript.pyannote[2698].speaker |
SPEAKER_33 |
transcript.pyannote[2698].start |
14490.59346875 |
transcript.pyannote[2698].end |
14492.60159375 |
transcript.pyannote[2699].speaker |
SPEAKER_33 |
transcript.pyannote[2699].start |
14493.02346875 |
transcript.pyannote[2699].end |
14497.29284375 |
transcript.pyannote[2700].speaker |
SPEAKER_33 |
transcript.pyannote[2700].start |
14497.57971875 |
transcript.pyannote[2700].end |
14501.79846875 |
transcript.pyannote[2701].speaker |
SPEAKER_33 |
transcript.pyannote[2701].start |
14502.45659375 |
transcript.pyannote[2701].end |
14509.25721875 |
transcript.pyannote[2702].speaker |
SPEAKER_33 |
transcript.pyannote[2702].start |
14509.98284375 |
transcript.pyannote[2702].end |
14511.16409375 |
transcript.pyannote[2703].speaker |
SPEAKER_33 |
transcript.pyannote[2703].start |
14511.43409375 |
transcript.pyannote[2703].end |
14521.94721875 |
transcript.pyannote[2704].speaker |
SPEAKER_09 |
transcript.pyannote[2704].start |
14521.01909375 |
transcript.pyannote[2704].end |
14525.50784375 |
transcript.pyannote[2705].speaker |
SPEAKER_09 |
transcript.pyannote[2705].start |
14525.87909375 |
transcript.pyannote[2705].end |
14529.72659375 |
transcript.pyannote[2706].speaker |
SPEAKER_33 |
transcript.pyannote[2706].start |
14529.52409375 |
transcript.pyannote[2706].end |
14530.67159375 |
transcript.pyannote[2707].speaker |
SPEAKER_09 |
transcript.pyannote[2707].start |
14530.67159375 |
transcript.pyannote[2707].end |
14542.01159375 |
transcript.pyannote[2708].speaker |
SPEAKER_33 |
transcript.pyannote[2708].start |
14541.48846875 |
transcript.pyannote[2708].end |
14551.49534375 |
transcript.pyannote[2709].speaker |
SPEAKER_33 |
transcript.pyannote[2709].start |
14552.22096875 |
transcript.pyannote[2709].end |
14569.39971875 |
transcript.pyannote[2710].speaker |
SPEAKER_33 |
transcript.pyannote[2710].start |
14569.58534375 |
transcript.pyannote[2710].end |
14582.73096875 |
transcript.pyannote[2711].speaker |
SPEAKER_18 |
transcript.pyannote[2711].start |
14580.21659375 |
transcript.pyannote[2711].end |
14580.58784375 |
transcript.pyannote[2712].speaker |
SPEAKER_18 |
transcript.pyannote[2712].start |
14583.01784375 |
transcript.pyannote[2712].end |
14584.01346875 |
transcript.pyannote[2713].speaker |
SPEAKER_33 |
transcript.pyannote[2713].start |
14583.79409375 |
transcript.pyannote[2713].end |
14594.22284375 |
transcript.pyannote[2714].speaker |
SPEAKER_43 |
transcript.pyannote[2714].start |
14595.35346875 |
transcript.pyannote[2714].end |
14595.89346875 |
transcript.pyannote[2715].speaker |
SPEAKER_43 |
transcript.pyannote[2715].start |
14597.24346875 |
transcript.pyannote[2715].end |
14598.82971875 |
transcript.pyannote[2716].speaker |
SPEAKER_43 |
transcript.pyannote[2716].start |
14598.94784375 |
transcript.pyannote[2716].end |
14601.47909375 |
transcript.pyannote[2717].speaker |
SPEAKER_13 |
transcript.pyannote[2717].start |
14609.88284375 |
transcript.pyannote[2717].end |
14610.54096875 |
transcript.pyannote[2718].speaker |
SPEAKER_13 |
transcript.pyannote[2718].start |
14611.08096875 |
transcript.pyannote[2718].end |
14616.54846875 |
transcript.pyannote[2719].speaker |
SPEAKER_13 |
transcript.pyannote[2719].start |
14616.88596875 |
transcript.pyannote[2719].end |
14628.25971875 |
transcript.pyannote[2720].speaker |
SPEAKER_18 |
transcript.pyannote[2720].start |
14622.23534375 |
transcript.pyannote[2720].end |
14623.24784375 |
transcript.pyannote[2721].speaker |
SPEAKER_13 |
transcript.pyannote[2721].start |
14635.27971875 |
transcript.pyannote[2721].end |
14637.38909375 |
transcript.pyannote[2722].speaker |
SPEAKER_06 |
transcript.pyannote[2722].start |
14636.08971875 |
transcript.pyannote[2722].end |
14636.61284375 |
transcript.pyannote[2723].speaker |
SPEAKER_13 |
transcript.pyannote[2723].start |
14637.92909375 |
transcript.pyannote[2723].end |
14639.63346875 |
transcript.pyannote[2724].speaker |
SPEAKER_13 |
transcript.pyannote[2724].start |
14639.83596875 |
transcript.pyannote[2724].end |
14648.86409375 |
transcript.pyannote[2725].speaker |
SPEAKER_13 |
transcript.pyannote[2725].start |
14649.37034375 |
transcript.pyannote[2725].end |
14652.18846875 |
transcript.pyannote[2726].speaker |
SPEAKER_13 |
transcript.pyannote[2726].start |
14652.99846875 |
transcript.pyannote[2726].end |
14653.62284375 |
transcript.pyannote[2727].speaker |
SPEAKER_13 |
transcript.pyannote[2727].start |
14653.97721875 |
transcript.pyannote[2727].end |
14655.91784375 |
transcript.pyannote[2728].speaker |
SPEAKER_13 |
transcript.pyannote[2728].start |
14656.30596875 |
transcript.pyannote[2728].end |
14658.58409375 |
transcript.pyannote[2729].speaker |
SPEAKER_13 |
transcript.pyannote[2729].start |
14658.95534375 |
transcript.pyannote[2729].end |
14661.75659375 |
transcript.pyannote[2730].speaker |
SPEAKER_09 |
transcript.pyannote[2730].start |
14664.11909375 |
transcript.pyannote[2730].end |
14669.06346875 |
transcript.pyannote[2731].speaker |
SPEAKER_09 |
transcript.pyannote[2731].start |
14669.24909375 |
transcript.pyannote[2731].end |
14673.38346875 |
transcript.pyannote[2732].speaker |
SPEAKER_13 |
transcript.pyannote[2732].start |
14672.23596875 |
transcript.pyannote[2732].end |
14673.61971875 |
transcript.pyannote[2733].speaker |
SPEAKER_09 |
transcript.pyannote[2733].start |
14673.61971875 |
transcript.pyannote[2733].end |
14674.39596875 |
transcript.pyannote[2734].speaker |
SPEAKER_13 |
transcript.pyannote[2734].start |
14674.24409375 |
transcript.pyannote[2734].end |
14675.40846875 |
transcript.pyannote[2735].speaker |
SPEAKER_13 |
transcript.pyannote[2735].start |
14675.83034375 |
transcript.pyannote[2735].end |
14677.48409375 |
transcript.pyannote[2736].speaker |
SPEAKER_13 |
transcript.pyannote[2736].start |
14677.83846875 |
transcript.pyannote[2736].end |
14683.37346875 |
transcript.pyannote[2737].speaker |
SPEAKER_13 |
transcript.pyannote[2737].start |
14684.18346875 |
transcript.pyannote[2737].end |
14687.84534375 |
transcript.pyannote[2738].speaker |
SPEAKER_07 |
transcript.pyannote[2738].start |
14688.06471875 |
transcript.pyannote[2738].end |
14691.77721875 |
transcript.pyannote[2739].speaker |
SPEAKER_13 |
transcript.pyannote[2739].start |
14691.77721875 |
transcript.pyannote[2739].end |
14694.40971875 |
transcript.pyannote[2740].speaker |
SPEAKER_13 |
transcript.pyannote[2740].start |
14694.94971875 |
transcript.pyannote[2740].end |
14697.71721875 |
transcript.pyannote[2741].speaker |
SPEAKER_13 |
transcript.pyannote[2741].start |
14698.47659375 |
transcript.pyannote[2741].end |
14699.84346875 |
transcript.pyannote[2742].speaker |
SPEAKER_13 |
transcript.pyannote[2742].start |
14700.07971875 |
transcript.pyannote[2742].end |
14705.66534375 |
transcript.pyannote[2743].speaker |
SPEAKER_13 |
transcript.pyannote[2743].start |
14706.59346875 |
transcript.pyannote[2743].end |
14707.70721875 |
transcript.pyannote[2744].speaker |
SPEAKER_13 |
transcript.pyannote[2744].start |
14708.29784375 |
transcript.pyannote[2744].end |
14710.91346875 |
transcript.pyannote[2745].speaker |
SPEAKER_13 |
transcript.pyannote[2745].start |
14711.08221875 |
transcript.pyannote[2745].end |
14713.54596875 |
transcript.pyannote[2746].speaker |
SPEAKER_13 |
transcript.pyannote[2746].start |
14713.95096875 |
transcript.pyannote[2746].end |
14715.08159375 |
transcript.pyannote[2747].speaker |
SPEAKER_13 |
transcript.pyannote[2747].start |
14716.07721875 |
transcript.pyannote[2747].end |
14716.11096875 |
transcript.pyannote[2748].speaker |
SPEAKER_18 |
transcript.pyannote[2748].start |
14716.11096875 |
transcript.pyannote[2748].end |
14719.16534375 |
transcript.pyannote[2749].speaker |
SPEAKER_13 |
transcript.pyannote[2749].start |
14717.05596875 |
transcript.pyannote[2749].end |
14717.44409375 |
transcript.pyannote[2750].speaker |
SPEAKER_18 |
transcript.pyannote[2750].start |
14719.68846875 |
transcript.pyannote[2750].end |
14728.66596875 |
transcript.pyannote[2751].speaker |
SPEAKER_18 |
transcript.pyannote[2751].start |
14729.08784375 |
transcript.pyannote[2751].end |
14729.12159375 |
transcript.pyannote[2752].speaker |
SPEAKER_13 |
transcript.pyannote[2752].start |
14729.12159375 |
transcript.pyannote[2752].end |
14732.86784375 |
transcript.pyannote[2753].speaker |
SPEAKER_13 |
transcript.pyannote[2753].start |
14733.47534375 |
transcript.pyannote[2753].end |
14737.69409375 |
transcript.pyannote[2754].speaker |
SPEAKER_13 |
transcript.pyannote[2754].start |
14737.81221875 |
transcript.pyannote[2754].end |
14744.61284375 |
transcript.pyannote[2755].speaker |
SPEAKER_13 |
transcript.pyannote[2755].start |
14745.05159375 |
transcript.pyannote[2755].end |
14749.18596875 |
transcript.pyannote[2756].speaker |
SPEAKER_13 |
transcript.pyannote[2756].start |
14749.60784375 |
transcript.pyannote[2756].end |
14751.24471875 |
transcript.pyannote[2757].speaker |
SPEAKER_13 |
transcript.pyannote[2757].start |
14751.81846875 |
transcript.pyannote[2757].end |
14754.85596875 |
transcript.pyannote[2758].speaker |
SPEAKER_13 |
transcript.pyannote[2758].start |
14755.21034375 |
transcript.pyannote[2758].end |
14756.35784375 |
transcript.pyannote[2759].speaker |
SPEAKER_13 |
transcript.pyannote[2759].start |
14756.72909375 |
transcript.pyannote[2759].end |
14759.04096875 |
transcript.pyannote[2760].speaker |
SPEAKER_13 |
transcript.pyannote[2760].start |
14759.26034375 |
transcript.pyannote[2760].end |
14760.49221875 |
transcript.pyannote[2761].speaker |
SPEAKER_13 |
transcript.pyannote[2761].start |
14761.69034375 |
transcript.pyannote[2761].end |
14762.73659375 |
transcript.pyannote[2762].speaker |
SPEAKER_13 |
transcript.pyannote[2762].start |
14763.10784375 |
transcript.pyannote[2762].end |
14765.04846875 |
transcript.pyannote[2763].speaker |
SPEAKER_13 |
transcript.pyannote[2763].start |
14765.43659375 |
transcript.pyannote[2763].end |
14767.76534375 |
transcript.pyannote[2764].speaker |
SPEAKER_13 |
transcript.pyannote[2764].start |
14768.72721875 |
transcript.pyannote[2764].end |
14770.87034375 |
transcript.pyannote[2765].speaker |
SPEAKER_13 |
transcript.pyannote[2765].start |
14771.79846875 |
transcript.pyannote[2765].end |
14774.00909375 |
transcript.pyannote[2766].speaker |
SPEAKER_13 |
transcript.pyannote[2766].start |
14774.58284375 |
transcript.pyannote[2766].end |
14778.37971875 |
transcript.pyannote[2767].speaker |
SPEAKER_13 |
transcript.pyannote[2767].start |
14779.02096875 |
transcript.pyannote[2767].end |
14783.47596875 |
transcript.pyannote[2768].speaker |
SPEAKER_13 |
transcript.pyannote[2768].start |
14784.10034375 |
transcript.pyannote[2768].end |
14785.04534375 |
transcript.pyannote[2769].speaker |
SPEAKER_13 |
transcript.pyannote[2769].start |
14785.55159375 |
transcript.pyannote[2769].end |
14788.79159375 |
transcript.pyannote[2770].speaker |
SPEAKER_13 |
transcript.pyannote[2770].start |
14789.46659375 |
transcript.pyannote[2770].end |
14792.63909375 |
transcript.pyannote[2771].speaker |
SPEAKER_13 |
transcript.pyannote[2771].start |
14793.28034375 |
transcript.pyannote[2771].end |
14793.65159375 |
transcript.pyannote[2772].speaker |
SPEAKER_18 |
transcript.pyannote[2772].start |
14793.36471875 |
transcript.pyannote[2772].end |
14793.63471875 |
transcript.pyannote[2773].speaker |
SPEAKER_18 |
transcript.pyannote[2773].start |
14793.65159375 |
transcript.pyannote[2773].end |
14796.11534375 |
transcript.pyannote[2774].speaker |
SPEAKER_13 |
transcript.pyannote[2774].start |
14795.28846875 |
transcript.pyannote[2774].end |
14795.50784375 |
transcript.pyannote[2775].speaker |
SPEAKER_13 |
transcript.pyannote[2775].start |
14796.04784375 |
transcript.pyannote[2775].end |
14804.38409375 |
transcript.pyannote[2776].speaker |
SPEAKER_18 |
transcript.pyannote[2776].start |
14805.00846875 |
transcript.pyannote[2776].end |
14806.44284375 |
transcript.pyannote[2777].speaker |
SPEAKER_13 |
transcript.pyannote[2777].start |
14806.44284375 |
transcript.pyannote[2777].end |
14809.80096875 |
transcript.pyannote[2778].speaker |
SPEAKER_18 |
transcript.pyannote[2778].start |
14811.70784375 |
transcript.pyannote[2778].end |
14812.55159375 |
transcript.pyannote[2779].speaker |
SPEAKER_13 |
transcript.pyannote[2779].start |
14812.55159375 |
transcript.pyannote[2779].end |
14813.64846875 |
transcript.pyannote[2780].speaker |
SPEAKER_18 |
transcript.pyannote[2780].start |
14813.64846875 |
transcript.pyannote[2780].end |
14813.71596875 |
transcript.pyannote[2781].speaker |
SPEAKER_18 |
transcript.pyannote[2781].start |
14814.20534375 |
transcript.pyannote[2781].end |
14814.96471875 |
transcript.pyannote[2782].speaker |
SPEAKER_18 |
transcript.pyannote[2782].start |
14816.56784375 |
transcript.pyannote[2782].end |
14819.33534375 |
transcript.pyannote[2783].speaker |
SPEAKER_13 |
transcript.pyannote[2783].start |
14819.31846875 |
transcript.pyannote[2783].end |
14830.32096875 |
transcript.pyannote[2784].speaker |
SPEAKER_13 |
transcript.pyannote[2784].start |
14830.89471875 |
transcript.pyannote[2784].end |
14832.09284375 |
transcript.pyannote[2785].speaker |
SPEAKER_13 |
transcript.pyannote[2785].start |
14832.37971875 |
transcript.pyannote[2785].end |
14833.05471875 |
transcript.pyannote[2786].speaker |
SPEAKER_13 |
transcript.pyannote[2786].start |
14833.29096875 |
transcript.pyannote[2786].end |
14836.10909375 |
transcript.pyannote[2787].speaker |
SPEAKER_13 |
transcript.pyannote[2787].start |
14836.24409375 |
transcript.pyannote[2787].end |
14837.72909375 |
transcript.pyannote[2788].speaker |
SPEAKER_13 |
transcript.pyannote[2788].start |
14838.91034375 |
transcript.pyannote[2788].end |
14839.33221875 |
transcript.pyannote[2789].speaker |
SPEAKER_10 |
transcript.pyannote[2789].start |
14839.60221875 |
transcript.pyannote[2789].end |
14850.03096875 |
transcript.pyannote[2790].speaker |
SPEAKER_13 |
transcript.pyannote[2790].start |
14840.56409375 |
transcript.pyannote[2790].end |
14842.50471875 |
transcript.pyannote[2791].speaker |
SPEAKER_15 |
transcript.pyannote[2791].start |
14850.03096875 |
transcript.pyannote[2791].end |
14850.19971875 |
transcript.pyannote[2792].speaker |
SPEAKER_13 |
transcript.pyannote[2792].start |
14850.19971875 |
transcript.pyannote[2792].end |
14851.97159375 |
transcript.pyannote[2793].speaker |
SPEAKER_15 |
transcript.pyannote[2793].start |
14850.21659375 |
transcript.pyannote[2793].end |
14850.23346875 |
transcript.pyannote[2794].speaker |
SPEAKER_15 |
transcript.pyannote[2794].start |
14851.97159375 |
transcript.pyannote[2794].end |
14854.11471875 |
transcript.pyannote[2795].speaker |
SPEAKER_24 |
transcript.pyannote[2795].start |
14854.73909375 |
transcript.pyannote[2795].end |
14854.75596875 |
transcript.pyannote[2796].speaker |
SPEAKER_15 |
transcript.pyannote[2796].start |
14854.75596875 |
transcript.pyannote[2796].end |
14856.71346875 |
transcript.pyannote[2797].speaker |
SPEAKER_24 |
transcript.pyannote[2797].start |
14856.71346875 |
transcript.pyannote[2797].end |
14856.76409375 |
transcript.pyannote[2798].speaker |
SPEAKER_13 |
transcript.pyannote[2798].start |
14856.76409375 |
transcript.pyannote[2798].end |
14859.93659375 |
transcript.pyannote[2799].speaker |
SPEAKER_15 |
transcript.pyannote[2799].start |
14860.30784375 |
transcript.pyannote[2799].end |
14860.32471875 |
transcript.pyannote[2800].speaker |
SPEAKER_10 |
transcript.pyannote[2800].start |
14860.32471875 |
transcript.pyannote[2800].end |
14861.67471875 |
transcript.pyannote[2801].speaker |
SPEAKER_13 |
transcript.pyannote[2801].start |
14861.05034375 |
transcript.pyannote[2801].end |
14862.36659375 |
transcript.pyannote[2802].speaker |
SPEAKER_10 |
transcript.pyannote[2802].start |
14862.36659375 |
transcript.pyannote[2802].end |
14869.26846875 |
transcript.pyannote[2803].speaker |
SPEAKER_13 |
transcript.pyannote[2803].start |
14868.05346875 |
transcript.pyannote[2803].end |
14868.89721875 |
transcript.pyannote[2804].speaker |
SPEAKER_10 |
transcript.pyannote[2804].start |
14869.47096875 |
transcript.pyannote[2804].end |
14871.00659375 |
transcript.pyannote[2805].speaker |
SPEAKER_02 |
transcript.pyannote[2805].start |
14869.52159375 |
transcript.pyannote[2805].end |
14873.97659375 |
transcript.pyannote[2806].speaker |
SPEAKER_13 |
transcript.pyannote[2806].start |
14871.00659375 |
transcript.pyannote[2806].end |
14871.02346875 |
transcript.pyannote[2807].speaker |
SPEAKER_15 |
transcript.pyannote[2807].start |
14873.97659375 |
transcript.pyannote[2807].end |
14874.83721875 |
transcript.pyannote[2808].speaker |
SPEAKER_13 |
transcript.pyannote[2808].start |
14874.83721875 |
transcript.pyannote[2808].end |
14875.10721875 |
transcript.pyannote[2809].speaker |
SPEAKER_02 |
transcript.pyannote[2809].start |
14875.10721875 |
transcript.pyannote[2809].end |
14875.12409375 |
transcript.pyannote[2810].speaker |
SPEAKER_13 |
transcript.pyannote[2810].start |
14875.36034375 |
transcript.pyannote[2810].end |
14876.06909375 |
transcript.pyannote[2811].speaker |
SPEAKER_13 |
transcript.pyannote[2811].start |
14876.52471875 |
transcript.pyannote[2811].end |
14879.32596875 |
transcript.pyannote[2812].speaker |
SPEAKER_13 |
transcript.pyannote[2812].start |
14880.67596875 |
transcript.pyannote[2812].end |
14881.36784375 |
transcript.pyannote[2813].speaker |
SPEAKER_07 |
transcript.pyannote[2813].start |
14882.11034375 |
transcript.pyannote[2813].end |
14884.59096875 |
transcript.pyannote[2814].speaker |
SPEAKER_13 |
transcript.pyannote[2814].start |
14884.42221875 |
transcript.pyannote[2814].end |
14886.78471875 |
transcript.pyannote[2815].speaker |
SPEAKER_13 |
transcript.pyannote[2815].start |
14887.22346875 |
transcript.pyannote[2815].end |
14888.62409375 |
transcript.pyannote[2816].speaker |
SPEAKER_13 |
transcript.pyannote[2816].start |
14889.60284375 |
transcript.pyannote[2816].end |
14892.11721875 |
transcript.pyannote[2817].speaker |
SPEAKER_13 |
transcript.pyannote[2817].start |
14892.52221875 |
transcript.pyannote[2817].end |
14894.68221875 |
transcript.pyannote[2818].speaker |
SPEAKER_13 |
transcript.pyannote[2818].start |
14895.44159375 |
transcript.pyannote[2818].end |
14898.76596875 |
transcript.pyannote[2819].speaker |
SPEAKER_13 |
transcript.pyannote[2819].start |
14899.13721875 |
transcript.pyannote[2819].end |
14905.11096875 |
transcript.pyannote[2820].speaker |
SPEAKER_13 |
transcript.pyannote[2820].start |
14905.22909375 |
transcript.pyannote[2820].end |
14907.79409375 |
transcript.pyannote[2821].speaker |
SPEAKER_13 |
transcript.pyannote[2821].start |
14909.02596875 |
transcript.pyannote[2821].end |
14910.03846875 |
transcript.pyannote[2822].speaker |
SPEAKER_13 |
transcript.pyannote[2822].start |
14910.49409375 |
transcript.pyannote[2822].end |
14912.92409375 |
transcript.pyannote[2823].speaker |
SPEAKER_13 |
transcript.pyannote[2823].start |
14913.16034375 |
transcript.pyannote[2823].end |
14914.30784375 |
transcript.pyannote[2824].speaker |
SPEAKER_13 |
transcript.pyannote[2824].start |
14914.93221875 |
transcript.pyannote[2824].end |
14915.75909375 |
transcript.pyannote[2825].speaker |
SPEAKER_13 |
transcript.pyannote[2825].start |
14915.92784375 |
transcript.pyannote[2825].end |
14917.42971875 |
transcript.pyannote[2826].speaker |
SPEAKER_13 |
transcript.pyannote[2826].start |
14917.85159375 |
transcript.pyannote[2826].end |
14919.50534375 |
transcript.pyannote[2827].speaker |
SPEAKER_13 |
transcript.pyannote[2827].start |
14920.29846875 |
transcript.pyannote[2827].end |
14922.34034375 |
transcript.pyannote[2828].speaker |
SPEAKER_13 |
transcript.pyannote[2828].start |
14924.63534375 |
transcript.pyannote[2828].end |
14925.10784375 |
transcript.pyannote[2829].speaker |
SPEAKER_13 |
transcript.pyannote[2829].start |
14925.46221875 |
transcript.pyannote[2829].end |
14927.16659375 |
transcript.pyannote[2830].speaker |
SPEAKER_13 |
transcript.pyannote[2830].start |
14927.72346875 |
transcript.pyannote[2830].end |
14928.51659375 |
transcript.pyannote[2831].speaker |
SPEAKER_13 |
transcript.pyannote[2831].start |
14930.76096875 |
transcript.pyannote[2831].end |
14931.09846875 |
transcript.pyannote[2832].speaker |
SPEAKER_13 |
transcript.pyannote[2832].start |
14931.28409375 |
transcript.pyannote[2832].end |
14933.00534375 |
transcript.pyannote[2833].speaker |
SPEAKER_13 |
transcript.pyannote[2833].start |
14933.73096875 |
transcript.pyannote[2833].end |
14934.23721875 |
transcript.pyannote[2834].speaker |
SPEAKER_13 |
transcript.pyannote[2834].start |
14935.14846875 |
transcript.pyannote[2834].end |
14936.98784375 |
transcript.pyannote[2835].speaker |
SPEAKER_13 |
transcript.pyannote[2835].start |
14937.35909375 |
transcript.pyannote[2835].end |
14939.99159375 |
transcript.pyannote[2836].speaker |
SPEAKER_13 |
transcript.pyannote[2836].start |
14940.46409375 |
transcript.pyannote[2836].end |
14943.67034375 |
transcript.pyannote[2837].speaker |
SPEAKER_13 |
transcript.pyannote[2837].start |
14943.99096875 |
transcript.pyannote[2837].end |
14947.45034375 |
transcript.pyannote[2838].speaker |
SPEAKER_13 |
transcript.pyannote[2838].start |
14949.81284375 |
transcript.pyannote[2838].end |
14950.58909375 |
transcript.pyannote[2839].speaker |
SPEAKER_13 |
transcript.pyannote[2839].start |
14951.16284375 |
transcript.pyannote[2839].end |
14953.91346875 |
transcript.pyannote[2840].speaker |
SPEAKER_13 |
transcript.pyannote[2840].start |
14954.23409375 |
transcript.pyannote[2840].end |
14955.31409375 |
transcript.pyannote[2841].speaker |
SPEAKER_13 |
transcript.pyannote[2841].start |
14955.65159375 |
transcript.pyannote[2841].end |
14957.00159375 |
transcript.pyannote[2842].speaker |
SPEAKER_13 |
transcript.pyannote[2842].start |
14957.42346875 |
transcript.pyannote[2842].end |
14961.35534375 |
transcript.pyannote[2843].speaker |
SPEAKER_13 |
transcript.pyannote[2843].start |
14961.74346875 |
transcript.pyannote[2843].end |
14966.73846875 |
transcript.pyannote[2844].speaker |
SPEAKER_13 |
transcript.pyannote[2844].start |
14967.73409375 |
transcript.pyannote[2844].end |
14968.81409375 |
transcript.pyannote[2845].speaker |
SPEAKER_13 |
transcript.pyannote[2845].start |
14970.38346875 |
transcript.pyannote[2845].end |
14973.11721875 |
transcript.pyannote[2846].speaker |
SPEAKER_13 |
transcript.pyannote[2846].start |
14973.75846875 |
transcript.pyannote[2846].end |
14974.56846875 |
transcript.pyannote[2847].speaker |
SPEAKER_13 |
transcript.pyannote[2847].start |
14974.75409375 |
transcript.pyannote[2847].end |
14976.32346875 |
transcript.pyannote[2848].speaker |
SPEAKER_13 |
transcript.pyannote[2848].start |
14976.76221875 |
transcript.pyannote[2848].end |
14978.78721875 |
transcript.pyannote[2849].speaker |
SPEAKER_13 |
transcript.pyannote[2849].start |
14979.09096875 |
transcript.pyannote[2849].end |
14981.52096875 |
transcript.pyannote[2850].speaker |
SPEAKER_13 |
transcript.pyannote[2850].start |
14981.95971875 |
transcript.pyannote[2850].end |
14982.70221875 |
transcript.pyannote[2851].speaker |
SPEAKER_13 |
transcript.pyannote[2851].start |
14983.00596875 |
transcript.pyannote[2851].end |
14985.16596875 |
transcript.pyannote[2852].speaker |
SPEAKER_13 |
transcript.pyannote[2852].start |
14985.48659375 |
transcript.pyannote[2852].end |
14987.78159375 |
transcript.pyannote[2853].speaker |
SPEAKER_13 |
transcript.pyannote[2853].start |
14988.13596875 |
transcript.pyannote[2853].end |
14990.56596875 |
transcript.pyannote[2854].speaker |
SPEAKER_13 |
transcript.pyannote[2854].start |
14990.95409375 |
transcript.pyannote[2854].end |
14991.57846875 |
transcript.pyannote[2855].speaker |
SPEAKER_13 |
transcript.pyannote[2855].start |
14992.32096875 |
transcript.pyannote[2855].end |
14993.99159375 |
transcript.pyannote[2856].speaker |
SPEAKER_13 |
transcript.pyannote[2856].start |
14994.64971875 |
transcript.pyannote[2856].end |
14999.18909375 |
transcript.pyannote[2857].speaker |
SPEAKER_13 |
transcript.pyannote[2857].start |
14999.62784375 |
transcript.pyannote[2857].end |
15000.16784375 |
transcript.pyannote[2858].speaker |
SPEAKER_13 |
transcript.pyannote[2858].start |
15002.78346875 |
transcript.pyannote[2858].end |
15003.52596875 |
transcript.pyannote[2859].speaker |
SPEAKER_18 |
transcript.pyannote[2859].start |
15003.52596875 |
transcript.pyannote[2859].end |
15003.54284375 |
transcript.pyannote[2860].speaker |
SPEAKER_13 |
transcript.pyannote[2860].start |
15004.36971875 |
transcript.pyannote[2860].end |
15005.48346875 |
transcript.pyannote[2861].speaker |
SPEAKER_18 |
transcript.pyannote[2861].start |
15005.48346875 |
transcript.pyannote[2861].end |
15007.59284375 |
transcript.pyannote[2862].speaker |
SPEAKER_18 |
transcript.pyannote[2862].start |
15007.67721875 |
transcript.pyannote[2862].end |
15012.95909375 |
transcript.pyannote[2863].speaker |
SPEAKER_13 |
transcript.pyannote[2863].start |
15007.91346875 |
transcript.pyannote[2863].end |
15008.21721875 |
transcript.pyannote[2864].speaker |
SPEAKER_13 |
transcript.pyannote[2864].start |
15011.10284375 |
transcript.pyannote[2864].end |
15017.63346875 |
transcript.pyannote[2865].speaker |
SPEAKER_13 |
transcript.pyannote[2865].start |
15017.71784375 |
transcript.pyannote[2865].end |
15019.21971875 |
transcript.pyannote[2866].speaker |
SPEAKER_13 |
transcript.pyannote[2866].start |
15019.42221875 |
transcript.pyannote[2866].end |
15022.22346875 |
transcript.pyannote[2867].speaker |
SPEAKER_13 |
transcript.pyannote[2867].start |
15022.45971875 |
transcript.pyannote[2867].end |
15024.61971875 |
transcript.pyannote[2868].speaker |
SPEAKER_13 |
transcript.pyannote[2868].start |
15025.14284375 |
transcript.pyannote[2868].end |
15026.91471875 |
transcript.pyannote[2869].speaker |
SPEAKER_13 |
transcript.pyannote[2869].start |
15027.42096875 |
transcript.pyannote[2869].end |
15029.42909375 |
transcript.pyannote[2870].speaker |
SPEAKER_13 |
transcript.pyannote[2870].start |
15029.58096875 |
transcript.pyannote[2870].end |
15036.38159375 |
transcript.pyannote[2871].speaker |
SPEAKER_13 |
transcript.pyannote[2871].start |
15036.83721875 |
transcript.pyannote[2871].end |
15040.54971875 |
transcript.pyannote[2872].speaker |
SPEAKER_13 |
transcript.pyannote[2872].start |
15041.03909375 |
transcript.pyannote[2872].end |
15041.95034375 |
transcript.pyannote[2873].speaker |
SPEAKER_13 |
transcript.pyannote[2873].start |
15042.25409375 |
transcript.pyannote[2873].end |
15044.27909375 |
transcript.pyannote[2874].speaker |
SPEAKER_13 |
transcript.pyannote[2874].start |
15044.78534375 |
transcript.pyannote[2874].end |
15047.26596875 |
transcript.pyannote[2875].speaker |
SPEAKER_13 |
transcript.pyannote[2875].start |
15047.43471875 |
transcript.pyannote[2875].end |
15050.15159375 |
transcript.pyannote[2876].speaker |
SPEAKER_13 |
transcript.pyannote[2876].start |
15050.32034375 |
transcript.pyannote[2876].end |
15051.13034375 |
transcript.pyannote[2877].speaker |
SPEAKER_13 |
transcript.pyannote[2877].start |
15051.60284375 |
transcript.pyannote[2877].end |
15053.83034375 |
transcript.pyannote[2878].speaker |
SPEAKER_31 |
transcript.pyannote[2878].start |
15054.37034375 |
transcript.pyannote[2878].end |
15054.69096875 |
transcript.pyannote[2879].speaker |
SPEAKER_13 |
transcript.pyannote[2879].start |
15054.99471875 |
transcript.pyannote[2879].end |
15058.03221875 |
transcript.pyannote[2880].speaker |
SPEAKER_31 |
transcript.pyannote[2880].start |
15058.48784375 |
transcript.pyannote[2880].end |
15058.77471875 |
transcript.pyannote[2881].speaker |
SPEAKER_13 |
transcript.pyannote[2881].start |
15058.99409375 |
transcript.pyannote[2881].end |
15065.00159375 |
transcript.pyannote[2882].speaker |
SPEAKER_13 |
transcript.pyannote[2882].start |
15065.54159375 |
transcript.pyannote[2882].end |
15067.27971875 |
transcript.pyannote[2883].speaker |
SPEAKER_13 |
transcript.pyannote[2883].start |
15067.58346875 |
transcript.pyannote[2883].end |
15069.99659375 |
transcript.pyannote[2884].speaker |
SPEAKER_13 |
transcript.pyannote[2884].start |
15070.28346875 |
transcript.pyannote[2884].end |
15072.46034375 |
transcript.pyannote[2885].speaker |
SPEAKER_13 |
transcript.pyannote[2885].start |
15072.59534375 |
transcript.pyannote[2885].end |
15078.02909375 |
transcript.pyannote[2886].speaker |
SPEAKER_18 |
transcript.pyannote[2886].start |
15078.61971875 |
transcript.pyannote[2886].end |
15080.94846875 |
transcript.pyannote[2887].speaker |
SPEAKER_13 |
transcript.pyannote[2887].start |
15078.90659375 |
transcript.pyannote[2887].end |
15079.54784375 |
transcript.pyannote[2888].speaker |
SPEAKER_18 |
transcript.pyannote[2888].start |
15082.31534375 |
transcript.pyannote[2888].end |
15087.51284375 |
transcript.pyannote[2889].speaker |
SPEAKER_22 |
transcript.pyannote[2889].start |
15108.15096875 |
transcript.pyannote[2889].end |
15110.83409375 |
transcript.pyannote[2890].speaker |
SPEAKER_22 |
transcript.pyannote[2890].start |
15111.23909375 |
transcript.pyannote[2890].end |
15112.13346875 |
transcript.pyannote[2891].speaker |
SPEAKER_22 |
transcript.pyannote[2891].start |
15118.00596875 |
transcript.pyannote[2891].end |
15119.38971875 |
transcript.pyannote[2892].speaker |
SPEAKER_22 |
transcript.pyannote[2892].start |
15120.75659375 |
transcript.pyannote[2892].end |
15124.35096875 |
transcript.pyannote[2893].speaker |
SPEAKER_22 |
transcript.pyannote[2893].start |
15125.36346875 |
transcript.pyannote[2893].end |
15136.19721875 |
transcript.pyannote[2894].speaker |
SPEAKER_22 |
transcript.pyannote[2894].start |
15136.95659375 |
transcript.pyannote[2894].end |
15143.03159375 |
transcript.pyannote[2895].speaker |
SPEAKER_18 |
transcript.pyannote[2895].start |
15140.12909375 |
transcript.pyannote[2895].end |
15140.56784375 |
transcript.pyannote[2896].speaker |
SPEAKER_18 |
transcript.pyannote[2896].start |
15143.03159375 |
transcript.pyannote[2896].end |
15143.20034375 |
transcript.pyannote[2897].speaker |
SPEAKER_22 |
transcript.pyannote[2897].start |
15143.20034375 |
transcript.pyannote[2897].end |
15143.21721875 |
transcript.pyannote[2898].speaker |
SPEAKER_18 |
transcript.pyannote[2898].start |
15144.06096875 |
transcript.pyannote[2898].end |
15168.96846875 |
transcript.pyannote[2899].speaker |
SPEAKER_00 |
transcript.pyannote[2899].start |
15157.10534375 |
transcript.pyannote[2899].end |
15157.24034375 |
transcript.pyannote[2900].speaker |
SPEAKER_43 |
transcript.pyannote[2900].start |
15163.14659375 |
transcript.pyannote[2900].end |
15163.50096875 |
transcript.pyannote[2901].speaker |
SPEAKER_22 |
transcript.pyannote[2901].start |
15168.96846875 |
transcript.pyannote[2901].end |
15173.96346875 |
transcript.pyannote[2902].speaker |
SPEAKER_22 |
transcript.pyannote[2902].start |
15174.25034375 |
transcript.pyannote[2902].end |
15181.81034375 |
transcript.pyannote[2903].speaker |
SPEAKER_22 |
transcript.pyannote[2903].start |
15182.21534375 |
transcript.pyannote[2903].end |
15184.37534375 |
transcript.pyannote[2904].speaker |
SPEAKER_22 |
transcript.pyannote[2904].start |
15185.11784375 |
transcript.pyannote[2904].end |
15185.65784375 |
transcript.pyannote[2905].speaker |
SPEAKER_18 |
transcript.pyannote[2905].start |
15186.21471875 |
transcript.pyannote[2905].end |
15189.57284375 |
transcript.pyannote[2906].speaker |
SPEAKER_22 |
transcript.pyannote[2906].start |
15188.34096875 |
transcript.pyannote[2906].end |
15189.42096875 |
transcript.pyannote[2907].speaker |
SPEAKER_22 |
transcript.pyannote[2907].start |
15189.57284375 |
transcript.pyannote[2907].end |
15189.79221875 |
transcript.pyannote[2908].speaker |
SPEAKER_18 |
transcript.pyannote[2908].start |
15189.79221875 |
transcript.pyannote[2908].end |
15201.31784375 |
transcript.pyannote[2909].speaker |
SPEAKER_22 |
transcript.pyannote[2909].start |
15198.36471875 |
transcript.pyannote[2909].end |
15209.46846875 |
transcript.pyannote[2910].speaker |
SPEAKER_22 |
transcript.pyannote[2910].start |
15210.00846875 |
transcript.pyannote[2910].end |
15210.36284375 |
transcript.pyannote[2911].speaker |
SPEAKER_22 |
transcript.pyannote[2911].start |
15211.13909375 |
transcript.pyannote[2911].end |
15211.24034375 |
transcript.pyannote[2912].speaker |
SPEAKER_22 |
transcript.pyannote[2912].start |
15211.40909375 |
transcript.pyannote[2912].end |
15217.26471875 |
transcript.pyannote[2913].speaker |
SPEAKER_22 |
transcript.pyannote[2913].start |
15217.56846875 |
transcript.pyannote[2913].end |
15218.91846875 |
transcript.pyannote[2914].speaker |
SPEAKER_22 |
transcript.pyannote[2914].start |
15219.55971875 |
transcript.pyannote[2914].end |
15227.59221875 |
transcript.pyannote[2915].speaker |
SPEAKER_22 |
transcript.pyannote[2915].start |
15228.67221875 |
transcript.pyannote[2915].end |
15229.70159375 |
transcript.pyannote[2916].speaker |
SPEAKER_22 |
transcript.pyannote[2916].start |
15230.49471875 |
transcript.pyannote[2916].end |
15231.03471875 |
transcript.pyannote[2917].speaker |
SPEAKER_22 |
transcript.pyannote[2917].start |
15232.03034375 |
transcript.pyannote[2917].end |
15232.43534375 |
transcript.pyannote[2918].speaker |
SPEAKER_22 |
transcript.pyannote[2918].start |
15233.22846875 |
transcript.pyannote[2918].end |
15234.51096875 |
transcript.pyannote[2919].speaker |
SPEAKER_22 |
transcript.pyannote[2919].start |
15234.93284375 |
transcript.pyannote[2919].end |
15259.53659375 |
transcript.pyannote[2920].speaker |
SPEAKER_22 |
transcript.pyannote[2920].start |
15259.97534375 |
transcript.pyannote[2920].end |
15260.36346875 |
transcript.pyannote[2921].speaker |
SPEAKER_22 |
transcript.pyannote[2921].start |
15261.89909375 |
transcript.pyannote[2921].end |
15262.20284375 |
transcript.pyannote[2922].speaker |
SPEAKER_22 |
transcript.pyannote[2922].start |
15262.50659375 |
transcript.pyannote[2922].end |
15272.64846875 |
transcript.pyannote[2923].speaker |
SPEAKER_22 |
transcript.pyannote[2923].start |
15273.45846875 |
transcript.pyannote[2923].end |
15277.08659375 |
transcript.pyannote[2924].speaker |
SPEAKER_22 |
transcript.pyannote[2924].start |
15277.44096875 |
transcript.pyannote[2924].end |
15282.36846875 |
transcript.pyannote[2925].speaker |
SPEAKER_18 |
transcript.pyannote[2925].start |
15281.60909375 |
transcript.pyannote[2925].end |
15281.82846875 |
transcript.pyannote[2926].speaker |
SPEAKER_22 |
transcript.pyannote[2926].start |
15283.00971875 |
transcript.pyannote[2926].end |
15283.02659375 |
transcript.pyannote[2927].speaker |
SPEAKER_18 |
transcript.pyannote[2927].start |
15283.02659375 |
transcript.pyannote[2927].end |
15283.04346875 |
transcript.pyannote[2928].speaker |
SPEAKER_22 |
transcript.pyannote[2928].start |
15283.04346875 |
transcript.pyannote[2928].end |
15287.19471875 |
transcript.pyannote[2929].speaker |
SPEAKER_22 |
transcript.pyannote[2929].start |
15287.73471875 |
transcript.pyannote[2929].end |
15289.25346875 |
transcript.pyannote[2930].speaker |
SPEAKER_22 |
transcript.pyannote[2930].start |
15289.57409375 |
transcript.pyannote[2930].end |
15294.58596875 |
transcript.pyannote[2931].speaker |
SPEAKER_22 |
transcript.pyannote[2931].start |
15294.92346875 |
transcript.pyannote[2931].end |
15297.58971875 |
transcript.pyannote[2932].speaker |
SPEAKER_31 |
transcript.pyannote[2932].start |
15297.84284375 |
transcript.pyannote[2932].end |
15298.14659375 |
transcript.pyannote[2933].speaker |
SPEAKER_22 |
transcript.pyannote[2933].start |
15298.14659375 |
transcript.pyannote[2933].end |
15298.18034375 |
transcript.pyannote[2934].speaker |
SPEAKER_22 |
transcript.pyannote[2934].start |
15298.39971875 |
transcript.pyannote[2934].end |
15299.31096875 |
transcript.pyannote[2935].speaker |
SPEAKER_22 |
transcript.pyannote[2935].start |
15299.61471875 |
transcript.pyannote[2935].end |
15300.93096875 |
transcript.pyannote[2936].speaker |
SPEAKER_22 |
transcript.pyannote[2936].start |
15301.33596875 |
transcript.pyannote[2936].end |
15301.80846875 |
transcript.pyannote[2937].speaker |
SPEAKER_22 |
transcript.pyannote[2937].start |
15302.12909375 |
transcript.pyannote[2937].end |
15306.02721875 |
transcript.pyannote[2938].speaker |
SPEAKER_18 |
transcript.pyannote[2938].start |
15306.02721875 |
transcript.pyannote[2938].end |
15306.85409375 |
transcript.pyannote[2939].speaker |
SPEAKER_18 |
transcript.pyannote[2939].start |
15307.17471875 |
transcript.pyannote[2939].end |
15314.36346875 |
transcript.pyannote[2940].speaker |
SPEAKER_22 |
transcript.pyannote[2940].start |
15314.36346875 |
transcript.pyannote[2940].end |
15314.38034375 |
transcript.pyannote[2941].speaker |
SPEAKER_18 |
transcript.pyannote[2941].start |
15315.39284375 |
transcript.pyannote[2941].end |
15315.40971875 |
transcript.pyannote[2942].speaker |
SPEAKER_22 |
transcript.pyannote[2942].start |
15315.40971875 |
transcript.pyannote[2942].end |
15315.42659375 |
transcript.pyannote[2943].speaker |
SPEAKER_18 |
transcript.pyannote[2943].start |
15315.42659375 |
transcript.pyannote[2943].end |
15315.54471875 |
transcript.pyannote[2944].speaker |
SPEAKER_22 |
transcript.pyannote[2944].start |
15315.54471875 |
transcript.pyannote[2944].end |
15317.21534375 |
transcript.pyannote[2945].speaker |
SPEAKER_18 |
transcript.pyannote[2945].start |
15315.67971875 |
transcript.pyannote[2945].end |
15315.71346875 |
transcript.pyannote[2946].speaker |
SPEAKER_17 |
transcript.pyannote[2946].start |
15315.71346875 |
transcript.pyannote[2946].end |
15317.73846875 |
transcript.pyannote[2947].speaker |
SPEAKER_18 |
transcript.pyannote[2947].start |
15317.21534375 |
transcript.pyannote[2947].end |
15317.23221875 |
transcript.pyannote[2948].speaker |
SPEAKER_22 |
transcript.pyannote[2948].start |
15317.67096875 |
transcript.pyannote[2948].end |
15318.41346875 |
transcript.pyannote[2949].speaker |
SPEAKER_22 |
transcript.pyannote[2949].start |
15319.08846875 |
transcript.pyannote[2949].end |
15326.85096875 |
transcript.pyannote[2950].speaker |
SPEAKER_22 |
transcript.pyannote[2950].start |
15327.96471875 |
transcript.pyannote[2950].end |
15330.25971875 |
transcript.pyannote[2951].speaker |
SPEAKER_22 |
transcript.pyannote[2951].start |
15331.74471875 |
transcript.pyannote[2951].end |
15332.79096875 |
transcript.pyannote[2952].speaker |
SPEAKER_18 |
transcript.pyannote[2952].start |
15332.79096875 |
transcript.pyannote[2952].end |
15332.90909375 |
transcript.pyannote[2953].speaker |
SPEAKER_22 |
transcript.pyannote[2953].start |
15332.90909375 |
transcript.pyannote[2953].end |
15332.92596875 |
transcript.pyannote[2954].speaker |
SPEAKER_18 |
transcript.pyannote[2954].start |
15332.92596875 |
transcript.pyannote[2954].end |
15332.94284375 |
transcript.pyannote[2955].speaker |
SPEAKER_22 |
transcript.pyannote[2955].start |
15333.65159375 |
transcript.pyannote[2955].end |
15333.66846875 |
transcript.pyannote[2956].speaker |
SPEAKER_18 |
transcript.pyannote[2956].start |
15333.66846875 |
transcript.pyannote[2956].end |
15342.57846875 |
transcript.pyannote[2957].speaker |
SPEAKER_22 |
transcript.pyannote[2957].start |
15333.98909375 |
transcript.pyannote[2957].end |
15334.41096875 |
transcript.pyannote[2958].speaker |
SPEAKER_22 |
transcript.pyannote[2958].start |
15337.02659375 |
transcript.pyannote[2958].end |
15337.27971875 |
transcript.pyannote[2959].speaker |
SPEAKER_22 |
transcript.pyannote[2959].start |
15339.49034375 |
transcript.pyannote[2959].end |
15339.94596875 |
transcript.pyannote[2960].speaker |
SPEAKER_22 |
transcript.pyannote[2960].start |
15342.03846875 |
transcript.pyannote[2960].end |
15347.16846875 |
transcript.pyannote[2961].speaker |
SPEAKER_18 |
transcript.pyannote[2961].start |
15344.94096875 |
transcript.pyannote[2961].end |
15348.65346875 |
transcript.pyannote[2962].speaker |
SPEAKER_22 |
transcript.pyannote[2962].start |
15348.13034375 |
transcript.pyannote[2962].end |
15354.89721875 |
transcript.pyannote[2963].speaker |
SPEAKER_22 |
transcript.pyannote[2963].start |
15355.45409375 |
transcript.pyannote[2963].end |
15357.58034375 |
transcript.pyannote[2964].speaker |
SPEAKER_22 |
transcript.pyannote[2964].start |
15358.05284375 |
transcript.pyannote[2964].end |
15361.57971875 |
transcript.pyannote[2965].speaker |
SPEAKER_18 |
transcript.pyannote[2965].start |
15361.57971875 |
transcript.pyannote[2965].end |
15361.61346875 |
transcript.pyannote[2966].speaker |
SPEAKER_22 |
transcript.pyannote[2966].start |
15362.08596875 |
transcript.pyannote[2966].end |
15362.10284375 |
transcript.pyannote[2967].speaker |
SPEAKER_18 |
transcript.pyannote[2967].start |
15362.10284375 |
transcript.pyannote[2967].end |
15386.18346875 |
transcript.pyannote[2968].speaker |
SPEAKER_22 |
transcript.pyannote[2968].start |
15362.25471875 |
transcript.pyannote[2968].end |
15362.60909375 |
transcript.pyannote[2969].speaker |
SPEAKER_18 |
transcript.pyannote[2969].start |
15386.55471875 |
transcript.pyannote[2969].end |
15387.97221875 |
transcript.pyannote[2970].speaker |
SPEAKER_22 |
transcript.pyannote[2970].start |
15387.97221875 |
transcript.pyannote[2970].end |
15414.71909375 |
transcript.pyannote[2971].speaker |
SPEAKER_18 |
transcript.pyannote[2971].start |
15393.67596875 |
transcript.pyannote[2971].end |
15394.03034375 |
transcript.pyannote[2972].speaker |
SPEAKER_00 |
transcript.pyannote[2972].start |
15394.03034375 |
transcript.pyannote[2972].end |
15394.30034375 |
transcript.pyannote[2973].speaker |
SPEAKER_18 |
transcript.pyannote[2973].start |
15394.30034375 |
transcript.pyannote[2973].end |
15397.27034375 |
transcript.pyannote[2974].speaker |
SPEAKER_31 |
transcript.pyannote[2974].start |
15408.08721875 |
transcript.pyannote[2974].end |
15408.12096875 |
transcript.pyannote[2975].speaker |
SPEAKER_30 |
transcript.pyannote[2975].start |
15408.12096875 |
transcript.pyannote[2975].end |
15408.82971875 |
transcript.pyannote[2976].speaker |
SPEAKER_31 |
transcript.pyannote[2976].start |
15408.82971875 |
transcript.pyannote[2976].end |
15408.84659375 |
transcript.pyannote[2977].speaker |
SPEAKER_22 |
transcript.pyannote[2977].start |
15415.30971875 |
transcript.pyannote[2977].end |
15415.95096875 |
transcript.pyannote[2978].speaker |
SPEAKER_22 |
transcript.pyannote[2978].start |
15416.57534375 |
transcript.pyannote[2978].end |
15419.19096875 |
transcript.pyannote[2979].speaker |
SPEAKER_18 |
transcript.pyannote[2979].start |
15418.17846875 |
transcript.pyannote[2979].end |
15418.19534375 |
transcript.pyannote[2980].speaker |
SPEAKER_31 |
transcript.pyannote[2980].start |
15418.19534375 |
transcript.pyannote[2980].end |
15418.65096875 |
transcript.pyannote[2981].speaker |
SPEAKER_18 |
transcript.pyannote[2981].start |
15418.65096875 |
transcript.pyannote[2981].end |
15418.70159375 |
transcript.pyannote[2982].speaker |
SPEAKER_31 |
transcript.pyannote[2982].start |
15419.19096875 |
transcript.pyannote[2982].end |
15419.51159375 |
transcript.pyannote[2983].speaker |
SPEAKER_22 |
transcript.pyannote[2983].start |
15419.81534375 |
transcript.pyannote[2983].end |
15424.28721875 |
transcript.pyannote[2984].speaker |
SPEAKER_22 |
transcript.pyannote[2984].start |
15425.19846875 |
transcript.pyannote[2984].end |
15429.50159375 |
transcript.pyannote[2985].speaker |
SPEAKER_22 |
transcript.pyannote[2985].start |
15429.58596875 |
transcript.pyannote[2985].end |
15441.56721875 |
transcript.pyannote[2986].speaker |
SPEAKER_22 |
transcript.pyannote[2986].start |
15442.59659375 |
transcript.pyannote[2986].end |
15446.88284375 |
transcript.pyannote[2987].speaker |
SPEAKER_22 |
transcript.pyannote[2987].start |
15447.91221875 |
transcript.pyannote[2987].end |
15448.58721875 |
transcript.pyannote[2988].speaker |
SPEAKER_22 |
transcript.pyannote[2988].start |
15449.44784375 |
transcript.pyannote[2988].end |
15451.32096875 |
transcript.pyannote[2989].speaker |
SPEAKER_22 |
transcript.pyannote[2989].start |
15451.50659375 |
transcript.pyannote[2989].end |
15455.15159375 |
transcript.pyannote[2990].speaker |
SPEAKER_22 |
transcript.pyannote[2990].start |
15456.29909375 |
transcript.pyannote[2990].end |
15463.52159375 |
transcript.pyannote[2991].speaker |
SPEAKER_22 |
transcript.pyannote[2991].start |
15464.31471875 |
transcript.pyannote[2991].end |
15466.01909375 |
transcript.pyannote[2992].speaker |
SPEAKER_22 |
transcript.pyannote[2992].start |
15467.35221875 |
transcript.pyannote[2992].end |
15470.22096875 |
transcript.pyannote[2993].speaker |
SPEAKER_22 |
transcript.pyannote[2993].start |
15470.74409375 |
transcript.pyannote[2993].end |
15476.68409375 |
transcript.pyannote[2994].speaker |
SPEAKER_22 |
transcript.pyannote[2994].start |
15477.42659375 |
transcript.pyannote[2994].end |
15478.00034375 |
transcript.pyannote[2995].speaker |
SPEAKER_22 |
transcript.pyannote[2995].start |
15479.46846875 |
transcript.pyannote[2995].end |
15483.51846875 |
transcript.pyannote[2996].speaker |
SPEAKER_22 |
transcript.pyannote[2996].start |
15483.60284375 |
transcript.pyannote[2996].end |
15484.69971875 |
transcript.pyannote[2997].speaker |
SPEAKER_22 |
transcript.pyannote[2997].start |
15485.08784375 |
transcript.pyannote[2997].end |
15485.62784375 |
transcript.pyannote[2998].speaker |
SPEAKER_22 |
transcript.pyannote[2998].start |
15486.35346875 |
transcript.pyannote[2998].end |
15487.60221875 |
transcript.pyannote[2999].speaker |
SPEAKER_18 |
transcript.pyannote[2999].start |
15486.37034375 |
transcript.pyannote[2999].end |
15490.38659375 |
transcript.pyannote[3000].speaker |
SPEAKER_22 |
transcript.pyannote[3000].start |
15490.03221875 |
transcript.pyannote[3000].end |
15507.24471875 |
transcript.pyannote[3001].speaker |
SPEAKER_10 |
transcript.pyannote[3001].start |
15509.20221875 |
transcript.pyannote[3001].end |
15510.94034375 |
transcript.pyannote[3002].speaker |
SPEAKER_10 |
transcript.pyannote[3002].start |
15513.43784375 |
transcript.pyannote[3002].end |
15515.53034375 |
transcript.pyannote[3003].speaker |
SPEAKER_10 |
transcript.pyannote[3003].start |
15519.91784375 |
transcript.pyannote[3003].end |
15521.04846875 |
transcript.pyannote[3004].speaker |
SPEAKER_10 |
transcript.pyannote[3004].start |
15521.99346875 |
transcript.pyannote[3004].end |
15522.75284375 |
transcript.pyannote[3005].speaker |
SPEAKER_25 |
transcript.pyannote[3005].start |
15530.44784375 |
transcript.pyannote[3005].end |
15531.83159375 |
transcript.pyannote[3006].speaker |
SPEAKER_25 |
transcript.pyannote[3006].start |
15531.88221875 |
transcript.pyannote[3006].end |
15538.07534375 |
transcript.pyannote[3007].speaker |
SPEAKER_31 |
transcript.pyannote[3007].start |
15538.19346875 |
transcript.pyannote[3007].end |
15538.63221875 |
transcript.pyannote[3008].speaker |
SPEAKER_25 |
transcript.pyannote[3008].start |
15538.63221875 |
transcript.pyannote[3008].end |
15541.78784375 |
transcript.pyannote[3009].speaker |
SPEAKER_25 |
transcript.pyannote[3009].start |
15542.19284375 |
transcript.pyannote[3009].end |
15544.53846875 |
transcript.pyannote[3010].speaker |
SPEAKER_25 |
transcript.pyannote[3010].start |
15545.48346875 |
transcript.pyannote[3010].end |
15550.73159375 |
transcript.pyannote[3011].speaker |
SPEAKER_25 |
transcript.pyannote[3011].start |
15551.30534375 |
transcript.pyannote[3011].end |
15557.44784375 |
transcript.pyannote[3012].speaker |
SPEAKER_25 |
transcript.pyannote[3012].start |
15557.80221875 |
transcript.pyannote[3012].end |
15559.13534375 |
transcript.pyannote[3013].speaker |
SPEAKER_25 |
transcript.pyannote[3013].start |
15559.72596875 |
transcript.pyannote[3013].end |
15563.55659375 |
transcript.pyannote[3014].speaker |
SPEAKER_25 |
transcript.pyannote[3014].start |
15563.79284375 |
transcript.pyannote[3014].end |
15567.21846875 |
transcript.pyannote[3015].speaker |
SPEAKER_25 |
transcript.pyannote[3015].start |
15568.16346875 |
transcript.pyannote[3015].end |
15569.41221875 |
transcript.pyannote[3016].speaker |
SPEAKER_25 |
transcript.pyannote[3016].start |
15570.05346875 |
transcript.pyannote[3016].end |
15572.82096875 |
transcript.pyannote[3017].speaker |
SPEAKER_25 |
transcript.pyannote[3017].start |
15573.98534375 |
transcript.pyannote[3017].end |
15574.84596875 |
transcript.pyannote[3018].speaker |
SPEAKER_09 |
transcript.pyannote[3018].start |
15574.84596875 |
transcript.pyannote[3018].end |
15576.92159375 |
transcript.pyannote[3019].speaker |
SPEAKER_09 |
transcript.pyannote[3019].start |
15577.15784375 |
transcript.pyannote[3019].end |
15577.47846875 |
transcript.pyannote[3020].speaker |
SPEAKER_25 |
transcript.pyannote[3020].start |
15577.59659375 |
transcript.pyannote[3020].end |
15587.51909375 |
transcript.pyannote[3021].speaker |
SPEAKER_09 |
transcript.pyannote[3021].start |
15580.02659375 |
transcript.pyannote[3021].end |
15580.38096875 |
transcript.pyannote[3022].speaker |
SPEAKER_25 |
transcript.pyannote[3022].start |
15587.90721875 |
transcript.pyannote[3022].end |
15592.02471875 |
transcript.pyannote[3023].speaker |
SPEAKER_18 |
transcript.pyannote[3023].start |
15592.02471875 |
transcript.pyannote[3023].end |
15607.92096875 |
transcript.pyannote[3024].speaker |
SPEAKER_18 |
transcript.pyannote[3024].start |
15609.54096875 |
transcript.pyannote[3024].end |
15609.96284375 |
transcript.pyannote[3025].speaker |
SPEAKER_24 |
transcript.pyannote[3025].start |
15609.96284375 |
transcript.pyannote[3025].end |
15610.04721875 |
transcript.pyannote[3026].speaker |
SPEAKER_24 |
transcript.pyannote[3026].start |
15610.82346875 |
transcript.pyannote[3026].end |
15619.04159375 |
transcript.pyannote[3027].speaker |
SPEAKER_31 |
transcript.pyannote[3027].start |
15611.92034375 |
transcript.pyannote[3027].end |
15613.32096875 |
transcript.pyannote[3028].speaker |
SPEAKER_18 |
transcript.pyannote[3028].start |
15613.32096875 |
transcript.pyannote[3028].end |
15613.37159375 |
transcript.pyannote[3029].speaker |
SPEAKER_24 |
transcript.pyannote[3029].start |
15619.39596875 |
transcript.pyannote[3029].end |
15620.00346875 |
transcript.pyannote[3030].speaker |
SPEAKER_18 |
transcript.pyannote[3030].start |
15619.48034375 |
transcript.pyannote[3030].end |
15625.55534375 |
transcript.pyannote[3031].speaker |
SPEAKER_25 |
transcript.pyannote[3031].start |
15623.15909375 |
transcript.pyannote[3031].end |
15627.71534375 |
transcript.pyannote[3032].speaker |
SPEAKER_25 |
transcript.pyannote[3032].start |
15628.91346875 |
transcript.pyannote[3032].end |
15631.90034375 |
transcript.pyannote[3033].speaker |
SPEAKER_25 |
transcript.pyannote[3033].start |
15632.55846875 |
transcript.pyannote[3033].end |
15645.31596875 |
transcript.pyannote[3034].speaker |
SPEAKER_25 |
transcript.pyannote[3034].start |
15646.05846875 |
transcript.pyannote[3034].end |
15649.77096875 |
transcript.pyannote[3035].speaker |
SPEAKER_18 |
transcript.pyannote[3035].start |
15650.37846875 |
transcript.pyannote[3035].end |
15696.22784375 |
transcript.pyannote[3036].speaker |
SPEAKER_25 |
transcript.pyannote[3036].start |
15654.09096875 |
transcript.pyannote[3036].end |
15655.08659375 |
transcript.pyannote[3037].speaker |
SPEAKER_25 |
transcript.pyannote[3037].start |
15655.12034375 |
transcript.pyannote[3037].end |
15658.30971875 |
transcript.pyannote[3038].speaker |
SPEAKER_25 |
transcript.pyannote[3038].start |
15659.91284375 |
transcript.pyannote[3038].end |
15660.08159375 |
transcript.pyannote[3039].speaker |
SPEAKER_20 |
transcript.pyannote[3039].start |
15669.07596875 |
transcript.pyannote[3039].end |
15670.02096875 |
transcript.pyannote[3040].speaker |
SPEAKER_18 |
transcript.pyannote[3040].start |
15696.31221875 |
transcript.pyannote[3040].end |
15701.42534375 |
transcript.pyannote[3041].speaker |
SPEAKER_18 |
transcript.pyannote[3041].start |
15701.62784375 |
transcript.pyannote[3041].end |
15701.64471875 |
transcript.pyannote[3042].speaker |
SPEAKER_25 |
transcript.pyannote[3042].start |
15701.64471875 |
transcript.pyannote[3042].end |
15701.72909375 |
transcript.pyannote[3043].speaker |
SPEAKER_18 |
transcript.pyannote[3043].start |
15701.72909375 |
transcript.pyannote[3043].end |
15701.96534375 |
transcript.pyannote[3044].speaker |
SPEAKER_25 |
transcript.pyannote[3044].start |
15701.96534375 |
transcript.pyannote[3044].end |
15702.35346875 |
transcript.pyannote[3045].speaker |
SPEAKER_18 |
transcript.pyannote[3045].start |
15702.35346875 |
transcript.pyannote[3045].end |
15702.50534375 |
transcript.pyannote[3046].speaker |
SPEAKER_25 |
transcript.pyannote[3046].start |
15702.50534375 |
transcript.pyannote[3046].end |
15702.85971875 |
transcript.pyannote[3047].speaker |
SPEAKER_18 |
transcript.pyannote[3047].start |
15702.85971875 |
transcript.pyannote[3047].end |
15702.91034375 |
transcript.pyannote[3048].speaker |
SPEAKER_25 |
transcript.pyannote[3048].start |
15702.91034375 |
transcript.pyannote[3048].end |
15702.92721875 |
transcript.pyannote[3049].speaker |
SPEAKER_18 |
transcript.pyannote[3049].start |
15702.92721875 |
transcript.pyannote[3049].end |
15702.94409375 |
transcript.pyannote[3050].speaker |
SPEAKER_25 |
transcript.pyannote[3050].start |
15702.94409375 |
transcript.pyannote[3050].end |
15720.94971875 |
transcript.pyannote[3051].speaker |
SPEAKER_18 |
transcript.pyannote[3051].start |
15720.52784375 |
transcript.pyannote[3051].end |
15721.96221875 |
transcript.pyannote[3052].speaker |
SPEAKER_25 |
transcript.pyannote[3052].start |
15721.59096875 |
transcript.pyannote[3052].end |
15752.23596875 |
transcript.pyannote[3053].speaker |
SPEAKER_15 |
transcript.pyannote[3053].start |
15731.91846875 |
transcript.pyannote[3053].end |
15731.95221875 |
transcript.pyannote[3054].speaker |
SPEAKER_31 |
transcript.pyannote[3054].start |
15731.95221875 |
transcript.pyannote[3054].end |
15732.55971875 |
transcript.pyannote[3055].speaker |
SPEAKER_15 |
transcript.pyannote[3055].start |
15732.55971875 |
transcript.pyannote[3055].end |
15732.62721875 |
transcript.pyannote[3056].speaker |
SPEAKER_15 |
transcript.pyannote[3056].start |
15732.81284375 |
transcript.pyannote[3056].end |
15732.86346875 |
transcript.pyannote[3057].speaker |
SPEAKER_25 |
transcript.pyannote[3057].start |
15752.72534375 |
transcript.pyannote[3057].end |
15764.03159375 |
transcript.pyannote[3058].speaker |
SPEAKER_18 |
transcript.pyannote[3058].start |
15764.03159375 |
transcript.pyannote[3058].end |
15764.33534375 |
transcript.pyannote[3059].speaker |
SPEAKER_25 |
transcript.pyannote[3059].start |
15764.33534375 |
transcript.pyannote[3059].end |
15764.50409375 |
transcript.pyannote[3060].speaker |
SPEAKER_18 |
transcript.pyannote[3060].start |
15764.50409375 |
transcript.pyannote[3060].end |
15764.60534375 |
transcript.pyannote[3061].speaker |
SPEAKER_18 |
transcript.pyannote[3061].start |
15765.09471875 |
transcript.pyannote[3061].end |
15773.38034375 |
transcript.pyannote[3062].speaker |
SPEAKER_18 |
transcript.pyannote[3062].start |
15774.00471875 |
transcript.pyannote[3062].end |
15775.42221875 |
transcript.pyannote[3063].speaker |
SPEAKER_18 |
transcript.pyannote[3063].start |
15775.67534375 |
transcript.pyannote[3063].end |
15775.92846875 |
transcript.pyannote[3064].speaker |
SPEAKER_12 |
transcript.pyannote[3064].start |
15779.10096875 |
transcript.pyannote[3064].end |
15790.28909375 |
transcript.pyannote[3065].speaker |
SPEAKER_12 |
transcript.pyannote[3065].start |
15790.42409375 |
transcript.pyannote[3065].end |
15792.19596875 |
transcript.pyannote[3066].speaker |
SPEAKER_12 |
transcript.pyannote[3066].start |
15792.39846875 |
transcript.pyannote[3066].end |
15794.67659375 |
transcript.pyannote[3067].speaker |
SPEAKER_12 |
transcript.pyannote[3067].start |
15794.82846875 |
transcript.pyannote[3067].end |
15798.22034375 |
transcript.pyannote[3068].speaker |
SPEAKER_12 |
transcript.pyannote[3068].start |
15798.32159375 |
transcript.pyannote[3068].end |
15802.25346875 |
transcript.pyannote[3069].speaker |
SPEAKER_12 |
transcript.pyannote[3069].start |
15802.47284375 |
transcript.pyannote[3069].end |
15806.69159375 |
transcript.pyannote[3070].speaker |
SPEAKER_25 |
transcript.pyannote[3070].start |
15806.97846875 |
transcript.pyannote[3070].end |
15830.82284375 |
transcript.pyannote[3071].speaker |
SPEAKER_10 |
transcript.pyannote[3071].start |
15833.89409375 |
transcript.pyannote[3071].end |
15840.79596875 |
transcript.pyannote[3072].speaker |
SPEAKER_38 |
transcript.pyannote[3072].start |
15846.31409375 |
transcript.pyannote[3072].end |
15848.38971875 |
transcript.pyannote[3073].speaker |
SPEAKER_10 |
transcript.pyannote[3073].start |
15849.01409375 |
transcript.pyannote[3073].end |
15849.70596875 |
transcript.pyannote[3074].speaker |
SPEAKER_38 |
transcript.pyannote[3074].start |
15856.87784375 |
transcript.pyannote[3074].end |
15857.90721875 |
transcript.pyannote[3075].speaker |
SPEAKER_03 |
transcript.pyannote[3075].start |
15857.65409375 |
transcript.pyannote[3075].end |
15857.67096875 |
transcript.pyannote[3076].speaker |
SPEAKER_31 |
transcript.pyannote[3076].start |
15857.67096875 |
transcript.pyannote[3076].end |
15858.02534375 |
transcript.pyannote[3077].speaker |
SPEAKER_38 |
transcript.pyannote[3077].start |
15858.02534375 |
transcript.pyannote[3077].end |
15863.77971875 |
transcript.pyannote[3078].speaker |
SPEAKER_31 |
transcript.pyannote[3078].start |
15863.77971875 |
transcript.pyannote[3078].end |
15864.08346875 |
transcript.pyannote[3079].speaker |
SPEAKER_38 |
transcript.pyannote[3079].start |
15864.08346875 |
transcript.pyannote[3079].end |
15875.10284375 |
transcript.pyannote[3080].speaker |
SPEAKER_38 |
transcript.pyannote[3080].start |
15875.38971875 |
transcript.pyannote[3080].end |
15886.79721875 |
transcript.pyannote[3081].speaker |
SPEAKER_18 |
transcript.pyannote[3081].start |
15886.96596875 |
transcript.pyannote[3081].end |
15892.39971875 |
transcript.pyannote[3082].speaker |
SPEAKER_38 |
transcript.pyannote[3082].start |
15888.70409375 |
transcript.pyannote[3082].end |
15889.05846875 |
transcript.pyannote[3083].speaker |
SPEAKER_12 |
transcript.pyannote[3083].start |
15889.05846875 |
transcript.pyannote[3083].end |
15889.10909375 |
transcript.pyannote[3084].speaker |
SPEAKER_12 |
transcript.pyannote[3084].start |
15891.79221875 |
transcript.pyannote[3084].end |
15901.56284375 |
transcript.pyannote[3085].speaker |
SPEAKER_38 |
transcript.pyannote[3085].start |
15901.25909375 |
transcript.pyannote[3085].end |
15901.44471875 |
transcript.pyannote[3086].speaker |
SPEAKER_38 |
transcript.pyannote[3086].start |
15901.56284375 |
transcript.pyannote[3086].end |
15912.24471875 |
transcript.pyannote[3087].speaker |
SPEAKER_12 |
transcript.pyannote[3087].start |
15905.73096875 |
transcript.pyannote[3087].end |
15906.96284375 |
transcript.pyannote[3088].speaker |
SPEAKER_38 |
transcript.pyannote[3088].start |
15912.41346875 |
transcript.pyannote[3088].end |
15923.38221875 |
transcript.pyannote[3089].speaker |
SPEAKER_38 |
transcript.pyannote[3089].start |
15924.04034375 |
transcript.pyannote[3089].end |
15951.66471875 |
transcript.pyannote[3090].speaker |
SPEAKER_38 |
transcript.pyannote[3090].start |
15952.20471875 |
transcript.pyannote[3090].end |
15956.15346875 |
transcript.pyannote[3091].speaker |
SPEAKER_38 |
transcript.pyannote[3091].start |
15956.99721875 |
transcript.pyannote[3091].end |
15970.61534375 |
transcript.pyannote[3092].speaker |
SPEAKER_38 |
transcript.pyannote[3092].start |
15970.90221875 |
transcript.pyannote[3092].end |
15980.38596875 |
transcript.pyannote[3093].speaker |
SPEAKER_38 |
transcript.pyannote[3093].start |
15981.11159375 |
transcript.pyannote[3093].end |
15992.85659375 |
transcript.pyannote[3094].speaker |
SPEAKER_38 |
transcript.pyannote[3094].start |
15993.17721875 |
transcript.pyannote[3094].end |
16004.07846875 |
transcript.pyannote[3095].speaker |
SPEAKER_38 |
transcript.pyannote[3095].start |
16004.68596875 |
transcript.pyannote[3095].end |
16005.10784375 |
transcript.pyannote[3096].speaker |
SPEAKER_38 |
transcript.pyannote[3096].start |
16005.41159375 |
transcript.pyannote[3096].end |
16006.27221875 |
transcript.pyannote[3097].speaker |
SPEAKER_38 |
transcript.pyannote[3097].start |
16006.77846875 |
transcript.pyannote[3097].end |
16043.56596875 |
transcript.pyannote[3098].speaker |
SPEAKER_38 |
transcript.pyannote[3098].start |
16044.10596875 |
transcript.pyannote[3098].end |
16046.85659375 |
transcript.pyannote[3099].speaker |
SPEAKER_18 |
transcript.pyannote[3099].start |
16047.59909375 |
transcript.pyannote[3099].end |
16099.64159375 |
transcript.pyannote[3100].speaker |
SPEAKER_00 |
transcript.pyannote[3100].start |
16074.85221875 |
transcript.pyannote[3100].end |
16075.22346875 |
transcript.pyannote[3101].speaker |
SPEAKER_38 |
transcript.pyannote[3101].start |
16095.27096875 |
transcript.pyannote[3101].end |
16095.60846875 |
transcript.pyannote[3102].speaker |
SPEAKER_38 |
transcript.pyannote[3102].start |
16099.28721875 |
transcript.pyannote[3102].end |
16099.55721875 |
transcript.pyannote[3103].speaker |
SPEAKER_38 |
transcript.pyannote[3103].start |
16099.64159375 |
transcript.pyannote[3103].end |
16106.29034375 |
transcript.pyannote[3104].speaker |
SPEAKER_38 |
transcript.pyannote[3104].start |
16106.77971875 |
transcript.pyannote[3104].end |
16120.63409375 |
transcript.pyannote[3105].speaker |
SPEAKER_38 |
transcript.pyannote[3105].start |
16121.10659375 |
transcript.pyannote[3105].end |
16132.66596875 |
transcript.pyannote[3106].speaker |
SPEAKER_38 |
transcript.pyannote[3106].start |
16132.95284375 |
transcript.pyannote[3106].end |
16144.78221875 |
transcript.pyannote[3107].speaker |
SPEAKER_38 |
transcript.pyannote[3107].start |
16144.79909375 |
transcript.pyannote[3107].end |
16160.67846875 |
transcript.pyannote[3108].speaker |
SPEAKER_38 |
transcript.pyannote[3108].start |
16161.20159375 |
transcript.pyannote[3108].end |
16211.75909375 |
transcript.pyannote[3109].speaker |
SPEAKER_18 |
transcript.pyannote[3109].start |
16211.38784375 |
transcript.pyannote[3109].end |
16211.40471875 |
transcript.pyannote[3110].speaker |
SPEAKER_18 |
transcript.pyannote[3110].start |
16211.42159375 |
transcript.pyannote[3110].end |
16213.10909375 |
transcript.pyannote[3111].speaker |
SPEAKER_10 |
transcript.pyannote[3111].start |
16216.23096875 |
transcript.pyannote[3111].end |
16220.17971875 |
transcript.pyannote[3112].speaker |
SPEAKER_30 |
transcript.pyannote[3112].start |
16224.65159375 |
transcript.pyannote[3112].end |
16225.03971875 |
transcript.pyannote[3113].speaker |
SPEAKER_32 |
transcript.pyannote[3113].start |
16226.18721875 |
transcript.pyannote[3113].end |
16228.66784375 |
transcript.pyannote[3114].speaker |
SPEAKER_10 |
transcript.pyannote[3114].start |
16229.07284375 |
transcript.pyannote[3114].end |
16229.89971875 |
transcript.pyannote[3115].speaker |
SPEAKER_32 |
transcript.pyannote[3115].start |
16236.16034375 |
transcript.pyannote[3115].end |
16299.40784375 |
transcript.pyannote[3116].speaker |
SPEAKER_18 |
transcript.pyannote[3116].start |
16300.45409375 |
transcript.pyannote[3116].end |
16306.98471875 |
transcript.pyannote[3117].speaker |
SPEAKER_32 |
transcript.pyannote[3117].start |
16303.64346875 |
transcript.pyannote[3117].end |
16303.79534375 |
transcript.pyannote[3118].speaker |
SPEAKER_32 |
transcript.pyannote[3118].start |
16306.63034375 |
transcript.pyannote[3118].end |
16325.73284375 |
transcript.pyannote[3119].speaker |
SPEAKER_18 |
transcript.pyannote[3119].start |
16308.25034375 |
transcript.pyannote[3119].end |
16308.31784375 |
transcript.pyannote[3120].speaker |
SPEAKER_18 |
transcript.pyannote[3120].start |
16325.39534375 |
transcript.pyannote[3120].end |
16325.66534375 |
transcript.pyannote[3121].speaker |
SPEAKER_18 |
transcript.pyannote[3121].start |
16326.81284375 |
transcript.pyannote[3121].end |
16328.70284375 |
transcript.pyannote[3122].speaker |
SPEAKER_32 |
transcript.pyannote[3122].start |
16328.29784375 |
transcript.pyannote[3122].end |
16328.31471875 |
transcript.pyannote[3123].speaker |
SPEAKER_12 |
transcript.pyannote[3123].start |
16328.31471875 |
transcript.pyannote[3123].end |
16342.40534375 |
transcript.pyannote[3124].speaker |
SPEAKER_32 |
transcript.pyannote[3124].start |
16337.89971875 |
transcript.pyannote[3124].end |
16338.28784375 |
transcript.pyannote[3125].speaker |
SPEAKER_32 |
transcript.pyannote[3125].start |
16342.52346875 |
transcript.pyannote[3125].end |
16347.34971875 |
transcript.pyannote[3126].speaker |
SPEAKER_32 |
transcript.pyannote[3126].start |
16347.90659375 |
transcript.pyannote[3126].end |
16388.72721875 |
transcript.pyannote[3127].speaker |
SPEAKER_32 |
transcript.pyannote[3127].start |
16389.19971875 |
transcript.pyannote[3127].end |
16427.06721875 |
transcript.pyannote[3128].speaker |
SPEAKER_18 |
transcript.pyannote[3128].start |
16427.52284375 |
transcript.pyannote[3128].end |
16452.39659375 |
transcript.pyannote[3129].speaker |
SPEAKER_32 |
transcript.pyannote[3129].start |
16432.29846875 |
transcript.pyannote[3129].end |
16432.77096875 |
transcript.pyannote[3130].speaker |
SPEAKER_31 |
transcript.pyannote[3130].start |
16432.77096875 |
transcript.pyannote[3130].end |
16432.80471875 |
transcript.pyannote[3131].speaker |
SPEAKER_32 |
transcript.pyannote[3131].start |
16435.42034375 |
transcript.pyannote[3131].end |
16435.62284375 |
transcript.pyannote[3132].speaker |
SPEAKER_32 |
transcript.pyannote[3132].start |
16438.10346875 |
transcript.pyannote[3132].end |
16439.55471875 |
transcript.pyannote[3133].speaker |
SPEAKER_32 |
transcript.pyannote[3133].start |
16450.01721875 |
transcript.pyannote[3133].end |
16482.29909375 |
transcript.pyannote[3134].speaker |
SPEAKER_18 |
transcript.pyannote[3134].start |
16453.18971875 |
transcript.pyannote[3134].end |
16453.40909375 |
transcript.pyannote[3135].speaker |
SPEAKER_18 |
transcript.pyannote[3135].start |
16482.45096875 |
transcript.pyannote[3135].end |
16502.05971875 |
transcript.pyannote[3136].speaker |
SPEAKER_32 |
transcript.pyannote[3136].start |
16502.00909375 |
transcript.pyannote[3136].end |
16583.12721875 |
transcript.pyannote[3137].speaker |
SPEAKER_18 |
transcript.pyannote[3137].start |
16581.57471875 |
transcript.pyannote[3137].end |
16583.93721875 |
transcript.pyannote[3138].speaker |
SPEAKER_10 |
transcript.pyannote[3138].start |
16583.12721875 |
transcript.pyannote[3138].end |
16583.14409375 |
transcript.pyannote[3139].speaker |
SPEAKER_10 |
transcript.pyannote[3139].start |
16587.02534375 |
transcript.pyannote[3139].end |
16592.32409375 |
transcript.pyannote[3140].speaker |
SPEAKER_35 |
transcript.pyannote[3140].start |
16595.93534375 |
transcript.pyannote[3140].end |
16600.62659375 |
transcript.pyannote[3141].speaker |
SPEAKER_00 |
transcript.pyannote[3141].start |
16596.22221875 |
transcript.pyannote[3141].end |
16596.74534375 |
transcript.pyannote[3142].speaker |
SPEAKER_10 |
transcript.pyannote[3142].start |
16600.84596875 |
transcript.pyannote[3142].end |
16603.54596875 |
transcript.pyannote[3143].speaker |
SPEAKER_35 |
transcript.pyannote[3143].start |
16604.87909375 |
transcript.pyannote[3143].end |
16604.89596875 |
transcript.pyannote[3144].speaker |
SPEAKER_36 |
transcript.pyannote[3144].start |
16604.89596875 |
transcript.pyannote[3144].end |
16633.56659375 |
transcript.pyannote[3145].speaker |
SPEAKER_30 |
transcript.pyannote[3145].start |
16632.30096875 |
transcript.pyannote[3145].end |
16632.58784375 |
transcript.pyannote[3146].speaker |
SPEAKER_30 |
transcript.pyannote[3146].start |
16633.38096875 |
transcript.pyannote[3146].end |
16634.02221875 |
transcript.pyannote[3147].speaker |
SPEAKER_36 |
transcript.pyannote[3147].start |
16633.90409375 |
transcript.pyannote[3147].end |
16651.82534375 |
transcript.pyannote[3148].speaker |
SPEAKER_36 |
transcript.pyannote[3148].start |
16652.51721875 |
transcript.pyannote[3148].end |
16720.00034375 |
transcript.pyannote[3149].speaker |
SPEAKER_30 |
transcript.pyannote[3149].start |
16704.79596875 |
transcript.pyannote[3149].end |
16705.48784375 |
transcript.pyannote[3150].speaker |
SPEAKER_31 |
transcript.pyannote[3150].start |
16705.48784375 |
transcript.pyannote[3150].end |
16705.50471875 |
transcript.pyannote[3151].speaker |
SPEAKER_31 |
transcript.pyannote[3151].start |
16711.02284375 |
transcript.pyannote[3151].end |
16711.29284375 |
transcript.pyannote[3152].speaker |
SPEAKER_36 |
transcript.pyannote[3152].start |
16720.32096875 |
transcript.pyannote[3152].end |
16724.42159375 |
transcript.pyannote[3153].speaker |
SPEAKER_31 |
transcript.pyannote[3153].start |
16724.40471875 |
transcript.pyannote[3153].end |
16724.96159375 |
transcript.pyannote[3154].speaker |
SPEAKER_36 |
transcript.pyannote[3154].start |
16724.43846875 |
transcript.pyannote[3154].end |
16724.45534375 |
transcript.pyannote[3155].speaker |
SPEAKER_36 |
transcript.pyannote[3155].start |
16724.59034375 |
transcript.pyannote[3155].end |
16735.66034375 |
transcript.pyannote[3156].speaker |
SPEAKER_18 |
transcript.pyannote[3156].start |
16734.78284375 |
transcript.pyannote[3156].end |
16740.31784375 |
transcript.pyannote[3157].speaker |
SPEAKER_18 |
transcript.pyannote[3157].start |
16740.58784375 |
transcript.pyannote[3157].end |
16754.42534375 |
transcript.pyannote[3158].speaker |
SPEAKER_36 |
transcript.pyannote[3158].start |
16753.88534375 |
transcript.pyannote[3158].end |
16761.91784375 |
transcript.pyannote[3159].speaker |
SPEAKER_36 |
transcript.pyannote[3159].start |
16762.32284375 |
transcript.pyannote[3159].end |
16766.59221875 |
transcript.pyannote[3160].speaker |
SPEAKER_18 |
transcript.pyannote[3160].start |
16765.71471875 |
transcript.pyannote[3160].end |
16769.00534375 |
transcript.pyannote[3161].speaker |
SPEAKER_36 |
transcript.pyannote[3161].start |
16767.72284375 |
transcript.pyannote[3161].end |
16776.10971875 |
transcript.pyannote[3162].speaker |
SPEAKER_18 |
transcript.pyannote[3162].start |
16774.35471875 |
transcript.pyannote[3162].end |
16785.13784375 |
transcript.pyannote[3163].speaker |
SPEAKER_36 |
transcript.pyannote[3163].start |
16785.13784375 |
transcript.pyannote[3163].end |
16789.49159375 |
transcript.pyannote[3164].speaker |
SPEAKER_18 |
transcript.pyannote[3164].start |
16787.50034375 |
transcript.pyannote[3164].end |
16790.43659375 |
transcript.pyannote[3165].speaker |
SPEAKER_36 |
transcript.pyannote[3165].start |
16790.01471875 |
transcript.pyannote[3165].end |
16799.83596875 |
transcript.pyannote[3166].speaker |
SPEAKER_18 |
transcript.pyannote[3166].start |
16794.77346875 |
transcript.pyannote[3166].end |
16797.96284375 |
transcript.pyannote[3167].speaker |
SPEAKER_31 |
transcript.pyannote[3167].start |
16797.96284375 |
transcript.pyannote[3167].end |
16799.14409375 |
transcript.pyannote[3168].speaker |
SPEAKER_36 |
transcript.pyannote[3168].start |
16800.07221875 |
transcript.pyannote[3168].end |
16822.19534375 |
transcript.pyannote[3169].speaker |
SPEAKER_18 |
transcript.pyannote[3169].start |
16822.44846875 |
transcript.pyannote[3169].end |
16823.57909375 |
transcript.pyannote[3170].speaker |
SPEAKER_36 |
transcript.pyannote[3170].start |
16822.76909375 |
transcript.pyannote[3170].end |
16824.65909375 |
transcript.pyannote[3171].speaker |
SPEAKER_18 |
transcript.pyannote[3171].start |
16825.51971875 |
transcript.pyannote[3171].end |
16832.42159375 |
transcript.pyannote[3172].speaker |
SPEAKER_36 |
transcript.pyannote[3172].start |
16827.61221875 |
transcript.pyannote[3172].end |
16834.36221875 |
transcript.pyannote[3173].speaker |
SPEAKER_31 |
transcript.pyannote[3173].start |
16832.42159375 |
transcript.pyannote[3173].end |
16832.59034375 |
transcript.pyannote[3174].speaker |
SPEAKER_18 |
transcript.pyannote[3174].start |
16832.59034375 |
transcript.pyannote[3174].end |
16832.60721875 |
transcript.pyannote[3175].speaker |
SPEAKER_31 |
transcript.pyannote[3175].start |
16832.60721875 |
transcript.pyannote[3175].end |
16832.65784375 |
transcript.pyannote[3176].speaker |
SPEAKER_31 |
transcript.pyannote[3176].start |
16833.85596875 |
transcript.pyannote[3176].end |
16835.72909375 |
transcript.pyannote[3177].speaker |
SPEAKER_36 |
transcript.pyannote[3177].start |
16834.71659375 |
transcript.pyannote[3177].end |
16837.09596875 |
transcript.pyannote[3178].speaker |
SPEAKER_36 |
transcript.pyannote[3178].start |
16837.29846875 |
transcript.pyannote[3178].end |
16846.20846875 |
transcript.pyannote[3179].speaker |
SPEAKER_36 |
transcript.pyannote[3179].start |
16846.27596875 |
transcript.pyannote[3179].end |
16861.17659375 |
transcript.pyannote[3180].speaker |
SPEAKER_36 |
transcript.pyannote[3180].start |
16861.32846875 |
transcript.pyannote[3180].end |
16867.06596875 |
transcript.pyannote[3181].speaker |
SPEAKER_09 |
transcript.pyannote[3181].start |
16867.06596875 |
transcript.pyannote[3181].end |
16871.13284375 |
transcript.pyannote[3182].speaker |
SPEAKER_36 |
transcript.pyannote[3182].start |
16868.70284375 |
transcript.pyannote[3182].end |
16869.91784375 |
transcript.pyannote[3183].speaker |
SPEAKER_36 |
transcript.pyannote[3183].start |
16870.17096875 |
transcript.pyannote[3183].end |
16870.99784375 |
transcript.pyannote[3184].speaker |
SPEAKER_09 |
transcript.pyannote[3184].start |
16871.23409375 |
transcript.pyannote[3184].end |
16876.02659375 |
transcript.pyannote[3185].speaker |
SPEAKER_36 |
transcript.pyannote[3185].start |
16872.21284375 |
transcript.pyannote[3185].end |
16872.98909375 |
transcript.pyannote[3186].speaker |
SPEAKER_36 |
transcript.pyannote[3186].start |
16876.71846875 |
transcript.pyannote[3186].end |
16884.04221875 |
transcript.pyannote[3187].speaker |
SPEAKER_09 |
transcript.pyannote[3187].start |
16877.56221875 |
transcript.pyannote[3187].end |
16879.30034375 |
transcript.pyannote[3188].speaker |
SPEAKER_09 |
transcript.pyannote[3188].start |
16884.63284375 |
transcript.pyannote[3188].end |
16886.40471875 |
transcript.pyannote[3189].speaker |
SPEAKER_36 |
transcript.pyannote[3189].start |
16886.06721875 |
transcript.pyannote[3189].end |
16888.21034375 |
transcript.pyannote[3190].speaker |
SPEAKER_09 |
transcript.pyannote[3190].start |
16888.21034375 |
transcript.pyannote[3190].end |
16895.95596875 |
transcript.pyannote[3191].speaker |
SPEAKER_36 |
transcript.pyannote[3191].start |
16888.51409375 |
transcript.pyannote[3191].end |
16889.15534375 |
transcript.pyannote[3192].speaker |
SPEAKER_09 |
transcript.pyannote[3192].start |
16897.40721875 |
transcript.pyannote[3192].end |
16903.44846875 |
transcript.pyannote[3193].speaker |
SPEAKER_36 |
transcript.pyannote[3193].start |
16902.04784375 |
transcript.pyannote[3193].end |
16906.24971875 |
transcript.pyannote[3194].speaker |
SPEAKER_04 |
transcript.pyannote[3194].start |
16903.44846875 |
transcript.pyannote[3194].end |
16903.51596875 |
transcript.pyannote[3195].speaker |
SPEAKER_09 |
transcript.pyannote[3195].start |
16905.13596875 |
transcript.pyannote[3195].end |
16906.97534375 |
transcript.pyannote[3196].speaker |
SPEAKER_36 |
transcript.pyannote[3196].start |
16906.58721875 |
transcript.pyannote[3196].end |
16910.55284375 |
transcript.pyannote[3197].speaker |
SPEAKER_09 |
transcript.pyannote[3197].start |
16910.06346875 |
transcript.pyannote[3197].end |
16915.10909375 |
transcript.pyannote[3198].speaker |
SPEAKER_36 |
transcript.pyannote[3198].start |
16911.95346875 |
transcript.pyannote[3198].end |
16913.15159375 |
transcript.pyannote[3199].speaker |
SPEAKER_36 |
transcript.pyannote[3199].start |
16914.28221875 |
transcript.pyannote[3199].end |
16917.01596875 |
transcript.pyannote[3200].speaker |
SPEAKER_18 |
transcript.pyannote[3200].start |
16915.10909375 |
transcript.pyannote[3200].end |
16915.12596875 |
transcript.pyannote[3201].speaker |
SPEAKER_36 |
transcript.pyannote[3201].start |
16917.57284375 |
transcript.pyannote[3201].end |
16919.85096875 |
transcript.pyannote[3202].speaker |
SPEAKER_18 |
transcript.pyannote[3202].start |
16919.53034375 |
transcript.pyannote[3202].end |
16921.04909375 |
transcript.pyannote[3203].speaker |
SPEAKER_36 |
transcript.pyannote[3203].start |
16920.34034375 |
transcript.pyannote[3203].end |
16922.92221875 |
transcript.pyannote[3204].speaker |
SPEAKER_36 |
transcript.pyannote[3204].start |
16923.47909375 |
transcript.pyannote[3204].end |
16927.05659375 |
transcript.pyannote[3205].speaker |
SPEAKER_36 |
transcript.pyannote[3205].start |
16927.52909375 |
transcript.pyannote[3205].end |
16930.38096875 |
transcript.pyannote[3206].speaker |
SPEAKER_36 |
transcript.pyannote[3206].start |
16931.19096875 |
transcript.pyannote[3206].end |
16935.27471875 |
transcript.pyannote[3207].speaker |
SPEAKER_36 |
transcript.pyannote[3207].start |
16935.61221875 |
transcript.pyannote[3207].end |
16937.09721875 |
transcript.pyannote[3208].speaker |
SPEAKER_36 |
transcript.pyannote[3208].start |
16937.87346875 |
transcript.pyannote[3208].end |
16940.55659375 |
transcript.pyannote[3209].speaker |
SPEAKER_36 |
transcript.pyannote[3209].start |
16940.91096875 |
transcript.pyannote[3209].end |
16941.51846875 |
transcript.pyannote[3210].speaker |
SPEAKER_09 |
transcript.pyannote[3210].start |
16941.51846875 |
transcript.pyannote[3210].end |
16941.53534375 |
transcript.pyannote[3211].speaker |
SPEAKER_09 |
transcript.pyannote[3211].start |
16942.27784375 |
transcript.pyannote[3211].end |
16958.52846875 |
transcript.pyannote[3212].speaker |
SPEAKER_36 |
transcript.pyannote[3212].start |
16951.05284375 |
transcript.pyannote[3212].end |
16951.10346875 |
transcript.pyannote[3213].speaker |
SPEAKER_36 |
transcript.pyannote[3213].start |
16954.03971875 |
transcript.pyannote[3213].end |
16954.52909375 |
transcript.pyannote[3214].speaker |
SPEAKER_36 |
transcript.pyannote[3214].start |
16957.07721875 |
transcript.pyannote[3214].end |
16957.56659375 |
transcript.pyannote[3215].speaker |
SPEAKER_36 |
transcript.pyannote[3215].start |
16958.00534375 |
transcript.pyannote[3215].end |
16960.11471875 |
transcript.pyannote[3216].speaker |
SPEAKER_36 |
transcript.pyannote[3216].start |
16960.45221875 |
transcript.pyannote[3216].end |
16962.67971875 |
transcript.pyannote[3217].speaker |
SPEAKER_36 |
transcript.pyannote[3217].start |
16963.47284375 |
transcript.pyannote[3217].end |
16965.27846875 |
transcript.pyannote[3218].speaker |
SPEAKER_36 |
transcript.pyannote[3218].start |
16966.18971875 |
transcript.pyannote[3218].end |
16966.84784375 |
transcript.pyannote[3219].speaker |
SPEAKER_36 |
transcript.pyannote[3219].start |
16967.13471875 |
transcript.pyannote[3219].end |
16968.72096875 |
transcript.pyannote[3220].speaker |
SPEAKER_36 |
transcript.pyannote[3220].start |
16968.82221875 |
transcript.pyannote[3220].end |
16977.83346875 |
transcript.pyannote[3221].speaker |
SPEAKER_36 |
transcript.pyannote[3221].start |
16978.42409375 |
transcript.pyannote[3221].end |
16979.75721875 |
transcript.pyannote[3222].speaker |
SPEAKER_36 |
transcript.pyannote[3222].start |
16980.53346875 |
transcript.pyannote[3222].end |
16982.60909375 |
transcript.pyannote[3223].speaker |
SPEAKER_36 |
transcript.pyannote[3223].start |
16982.71034375 |
transcript.pyannote[3223].end |
16985.14034375 |
transcript.pyannote[3224].speaker |
SPEAKER_36 |
transcript.pyannote[3224].start |
16985.17409375 |
transcript.pyannote[3224].end |
16987.90784375 |
transcript.pyannote[3225].speaker |
SPEAKER_36 |
transcript.pyannote[3225].start |
16988.38034375 |
transcript.pyannote[3225].end |
16997.08784375 |
transcript.pyannote[3226].speaker |
SPEAKER_31 |
transcript.pyannote[3226].start |
16997.08784375 |
transcript.pyannote[3226].end |
16997.74596875 |
transcript.pyannote[3227].speaker |
SPEAKER_36 |
transcript.pyannote[3227].start |
16997.67846875 |
transcript.pyannote[3227].end |
17000.29409375 |
transcript.pyannote[3228].speaker |
SPEAKER_31 |
transcript.pyannote[3228].start |
16998.26909375 |
transcript.pyannote[3228].end |
16998.47159375 |
transcript.pyannote[3229].speaker |
SPEAKER_36 |
transcript.pyannote[3229].start |
17000.73284375 |
transcript.pyannote[3229].end |
17002.42034375 |
transcript.pyannote[3230].speaker |
SPEAKER_36 |
transcript.pyannote[3230].start |
17002.69034375 |
transcript.pyannote[3230].end |
17009.76096875 |
transcript.pyannote[3231].speaker |
SPEAKER_18 |
transcript.pyannote[3231].start |
17008.29284375 |
transcript.pyannote[3231].end |
17008.47846875 |
transcript.pyannote[3232].speaker |
SPEAKER_36 |
transcript.pyannote[3232].start |
17009.89596875 |
transcript.pyannote[3232].end |
17010.68909375 |
transcript.pyannote[3233].speaker |
SPEAKER_18 |
transcript.pyannote[3233].start |
17010.68909375 |
transcript.pyannote[3233].end |
17012.51159375 |
transcript.pyannote[3234].speaker |
SPEAKER_09 |
transcript.pyannote[3234].start |
17011.27971875 |
transcript.pyannote[3234].end |
17015.83596875 |
transcript.pyannote[3235].speaker |
SPEAKER_36 |
transcript.pyannote[3235].start |
17012.51159375 |
transcript.pyannote[3235].end |
17013.01784375 |
transcript.pyannote[3236].speaker |
SPEAKER_36 |
transcript.pyannote[3236].start |
17014.33409375 |
transcript.pyannote[3236].end |
17014.75596875 |
transcript.pyannote[3237].speaker |
SPEAKER_36 |
transcript.pyannote[3237].start |
17015.22846875 |
transcript.pyannote[3237].end |
17019.73409375 |
transcript.pyannote[3238].speaker |
SPEAKER_18 |
transcript.pyannote[3238].start |
17019.61596875 |
transcript.pyannote[3238].end |
17019.88596875 |
transcript.pyannote[3239].speaker |
SPEAKER_36 |
transcript.pyannote[3239].start |
17019.85221875 |
transcript.pyannote[3239].end |
17021.03346875 |
transcript.pyannote[3240].speaker |
SPEAKER_18 |
transcript.pyannote[3240].start |
17021.03346875 |
transcript.pyannote[3240].end |
17022.11346875 |
transcript.pyannote[3241].speaker |
SPEAKER_36 |
transcript.pyannote[3241].start |
17021.79284375 |
transcript.pyannote[3241].end |
17023.07534375 |
transcript.pyannote[3242].speaker |
SPEAKER_18 |
transcript.pyannote[3242].start |
17023.32846875 |
transcript.pyannote[3242].end |
17034.48284375 |
transcript.pyannote[3243].speaker |
SPEAKER_36 |
transcript.pyannote[3243].start |
17025.53909375 |
transcript.pyannote[3243].end |
17027.69909375 |
transcript.pyannote[3244].speaker |
SPEAKER_36 |
transcript.pyannote[3244].start |
17030.53409375 |
transcript.pyannote[3244].end |
17032.55909375 |
transcript.pyannote[3245].speaker |
SPEAKER_36 |
transcript.pyannote[3245].start |
17032.74471875 |
transcript.pyannote[3245].end |
17036.08596875 |
transcript.pyannote[3246].speaker |
SPEAKER_14 |
transcript.pyannote[3246].start |
17035.64721875 |
transcript.pyannote[3246].end |
17035.95096875 |
transcript.pyannote[3247].speaker |
SPEAKER_14 |
transcript.pyannote[3247].start |
17036.08596875 |
transcript.pyannote[3247].end |
17036.13659375 |
transcript.pyannote[3248].speaker |
SPEAKER_36 |
transcript.pyannote[3248].start |
17036.13659375 |
transcript.pyannote[3248].end |
17036.40659375 |
transcript.pyannote[3249].speaker |
SPEAKER_14 |
transcript.pyannote[3249].start |
17036.40659375 |
transcript.pyannote[3249].end |
17036.44034375 |
transcript.pyannote[3250].speaker |
SPEAKER_36 |
transcript.pyannote[3250].start |
17036.44034375 |
transcript.pyannote[3250].end |
17041.50284375 |
transcript.pyannote[3251].speaker |
SPEAKER_14 |
transcript.pyannote[3251].start |
17040.91221875 |
transcript.pyannote[3251].end |
17041.36784375 |
transcript.pyannote[3252].speaker |
SPEAKER_14 |
transcript.pyannote[3252].start |
17041.67159375 |
transcript.pyannote[3252].end |
17041.94159375 |
transcript.pyannote[3253].speaker |
SPEAKER_14 |
transcript.pyannote[3253].start |
17041.97534375 |
transcript.pyannote[3253].end |
17042.02596875 |
transcript.pyannote[3254].speaker |
SPEAKER_14 |
transcript.pyannote[3254].start |
17043.29159375 |
transcript.pyannote[3254].end |
17045.01284375 |
transcript.pyannote[3255].speaker |
SPEAKER_14 |
transcript.pyannote[3255].start |
17045.53596875 |
transcript.pyannote[3255].end |
17047.25721875 |
transcript.pyannote[3256].speaker |
SPEAKER_44 |
transcript.pyannote[3256].start |
17062.00596875 |
transcript.pyannote[3256].end |
17069.16096875 |
transcript.pyannote[3257].speaker |
SPEAKER_44 |
transcript.pyannote[3257].start |
17069.51534375 |
transcript.pyannote[3257].end |
17075.97846875 |
transcript.pyannote[3258].speaker |
SPEAKER_14 |
transcript.pyannote[3258].start |
17075.72534375 |
transcript.pyannote[3258].end |
17077.98659375 |
transcript.pyannote[3259].speaker |
SPEAKER_44 |
transcript.pyannote[3259].start |
17081.85096875 |
transcript.pyannote[3259].end |
17105.56034375 |
transcript.pyannote[3260].speaker |
SPEAKER_14 |
transcript.pyannote[3260].start |
17083.21784375 |
transcript.pyannote[3260].end |
17083.53846875 |
transcript.pyannote[3261].speaker |
SPEAKER_18 |
transcript.pyannote[3261].start |
17105.56034375 |
transcript.pyannote[3261].end |
17105.64471875 |
transcript.pyannote[3262].speaker |
SPEAKER_44 |
transcript.pyannote[3262].start |
17105.83034375 |
transcript.pyannote[3262].end |
17105.96534375 |
transcript.pyannote[3263].speaker |
SPEAKER_18 |
transcript.pyannote[3263].start |
17105.96534375 |
transcript.pyannote[3263].end |
17117.89596875 |
transcript.pyannote[3264].speaker |
SPEAKER_27 |
transcript.pyannote[3264].start |
17116.46159375 |
transcript.pyannote[3264].end |
17142.12846875 |
transcript.pyannote[3265].speaker |
SPEAKER_44 |
transcript.pyannote[3265].start |
17142.28034375 |
transcript.pyannote[3265].end |
17149.60409375 |
transcript.pyannote[3266].speaker |
SPEAKER_27 |
transcript.pyannote[3266].start |
17147.64659375 |
transcript.pyannote[3266].end |
17152.87784375 |
transcript.pyannote[3267].speaker |
SPEAKER_44 |
transcript.pyannote[3267].start |
17150.46471875 |
transcript.pyannote[3267].end |
17165.83784375 |
transcript.pyannote[3268].speaker |
SPEAKER_44 |
transcript.pyannote[3268].start |
17166.22596875 |
transcript.pyannote[3268].end |
17170.34346875 |
transcript.pyannote[3269].speaker |
SPEAKER_09 |
transcript.pyannote[3269].start |
17168.89221875 |
transcript.pyannote[3269].end |
17168.90909375 |
transcript.pyannote[3270].speaker |
SPEAKER_44 |
transcript.pyannote[3270].start |
17170.63034375 |
transcript.pyannote[3270].end |
17171.11971875 |
transcript.pyannote[3271].speaker |
SPEAKER_09 |
transcript.pyannote[3271].start |
17170.93409375 |
transcript.pyannote[3271].end |
17199.14909375 |
transcript.pyannote[3272].speaker |
SPEAKER_03 |
transcript.pyannote[3272].start |
17193.12471875 |
transcript.pyannote[3272].end |
17193.44534375 |
transcript.pyannote[3273].speaker |
SPEAKER_09 |
transcript.pyannote[3273].start |
17199.55409375 |
transcript.pyannote[3273].end |
17221.22159375 |
transcript.pyannote[3274].speaker |
SPEAKER_44 |
transcript.pyannote[3274].start |
17221.32284375 |
transcript.pyannote[3274].end |
17227.33034375 |
transcript.pyannote[3275].speaker |
SPEAKER_09 |
transcript.pyannote[3275].start |
17227.63409375 |
transcript.pyannote[3275].end |
17248.27221875 |
transcript.pyannote[3276].speaker |
SPEAKER_44 |
transcript.pyannote[3276].start |
17248.40721875 |
transcript.pyannote[3276].end |
17265.04596875 |
transcript.pyannote[3277].speaker |
SPEAKER_44 |
transcript.pyannote[3277].start |
17265.50159375 |
transcript.pyannote[3277].end |
17269.36596875 |
transcript.pyannote[3278].speaker |
SPEAKER_44 |
transcript.pyannote[3278].start |
17269.78784375 |
transcript.pyannote[3278].end |
17280.58784375 |
transcript.pyannote[3279].speaker |
SPEAKER_09 |
transcript.pyannote[3279].start |
17281.27971875 |
transcript.pyannote[3279].end |
17289.83534375 |
transcript.pyannote[3280].speaker |
SPEAKER_09 |
transcript.pyannote[3280].start |
17290.22346875 |
transcript.pyannote[3280].end |
17313.22409375 |
transcript.pyannote[3281].speaker |
SPEAKER_04 |
transcript.pyannote[3281].start |
17292.53534375 |
transcript.pyannote[3281].end |
17292.60284375 |
transcript.pyannote[3282].speaker |
SPEAKER_00 |
transcript.pyannote[3282].start |
17300.92221875 |
transcript.pyannote[3282].end |
17301.17534375 |
transcript.pyannote[3283].speaker |
SPEAKER_42 |
transcript.pyannote[3283].start |
17305.61346875 |
transcript.pyannote[3283].end |
17305.74846875 |
transcript.pyannote[3284].speaker |
SPEAKER_44 |
transcript.pyannote[3284].start |
17313.42659375 |
transcript.pyannote[3284].end |
17332.96784375 |
transcript.pyannote[3285].speaker |
SPEAKER_18 |
transcript.pyannote[3285].start |
17332.96784375 |
transcript.pyannote[3285].end |
17345.03346875 |
transcript.pyannote[3286].speaker |
SPEAKER_31 |
transcript.pyannote[3286].start |
17338.72221875 |
transcript.pyannote[3286].end |
17339.09346875 |
transcript.pyannote[3287].speaker |
SPEAKER_44 |
transcript.pyannote[3287].start |
17345.03346875 |
transcript.pyannote[3287].end |
17366.36346875 |
transcript.pyannote[3288].speaker |
SPEAKER_31 |
transcript.pyannote[3288].start |
17350.51784375 |
transcript.pyannote[3288].end |
17350.73721875 |
transcript.pyannote[3289].speaker |
SPEAKER_14 |
transcript.pyannote[3289].start |
17350.73721875 |
transcript.pyannote[3289].end |
17350.75409375 |
transcript.pyannote[3290].speaker |
SPEAKER_31 |
transcript.pyannote[3290].start |
17350.75409375 |
transcript.pyannote[3290].end |
17350.93971875 |
transcript.pyannote[3291].speaker |
SPEAKER_14 |
transcript.pyannote[3291].start |
17353.74096875 |
transcript.pyannote[3291].end |
17354.19659375 |
transcript.pyannote[3292].speaker |
SPEAKER_09 |
transcript.pyannote[3292].start |
17367.27471875 |
transcript.pyannote[3292].end |
17386.83284375 |
transcript.pyannote[3293].speaker |
SPEAKER_44 |
transcript.pyannote[3293].start |
17387.20409375 |
transcript.pyannote[3293].end |
17411.01471875 |
transcript.pyannote[3294].speaker |
SPEAKER_14 |
transcript.pyannote[3294].start |
17411.53784375 |
transcript.pyannote[3294].end |
17415.25034375 |
transcript.pyannote[3295].speaker |
SPEAKER_01 |
transcript.pyannote[3295].start |
17435.26409375 |
transcript.pyannote[3295].end |
17437.17096875 |
transcript.pyannote[3296].speaker |
SPEAKER_14 |
transcript.pyannote[3296].start |
17437.45784375 |
transcript.pyannote[3296].end |
17438.25096875 |
transcript.pyannote[3297].speaker |
SPEAKER_01 |
transcript.pyannote[3297].start |
17446.26659375 |
transcript.pyannote[3297].end |
17447.22846875 |
transcript.pyannote[3298].speaker |
SPEAKER_31 |
transcript.pyannote[3298].start |
17446.30034375 |
transcript.pyannote[3298].end |
17446.72221875 |
transcript.pyannote[3299].speaker |
SPEAKER_01 |
transcript.pyannote[3299].start |
17447.29596875 |
transcript.pyannote[3299].end |
17447.32971875 |
transcript.pyannote[3300].speaker |
SPEAKER_31 |
transcript.pyannote[3300].start |
17447.32971875 |
transcript.pyannote[3300].end |
17447.73471875 |
transcript.pyannote[3301].speaker |
SPEAKER_01 |
transcript.pyannote[3301].start |
17448.05534375 |
transcript.pyannote[3301].end |
17449.82721875 |
transcript.pyannote[3302].speaker |
SPEAKER_01 |
transcript.pyannote[3302].start |
17450.24909375 |
transcript.pyannote[3302].end |
17460.76221875 |
transcript.pyannote[3303].speaker |
SPEAKER_31 |
transcript.pyannote[3303].start |
17455.83471875 |
transcript.pyannote[3303].end |
17455.85159375 |
transcript.pyannote[3304].speaker |
SPEAKER_30 |
transcript.pyannote[3304].start |
17455.85159375 |
transcript.pyannote[3304].end |
17456.03721875 |
transcript.pyannote[3305].speaker |
SPEAKER_30 |
transcript.pyannote[3305].start |
17460.76221875 |
transcript.pyannote[3305].end |
17461.04909375 |
transcript.pyannote[3306].speaker |
SPEAKER_01 |
transcript.pyannote[3306].start |
17461.50471875 |
transcript.pyannote[3306].end |
17465.65596875 |
transcript.pyannote[3307].speaker |
SPEAKER_01 |
transcript.pyannote[3307].start |
17466.38159375 |
transcript.pyannote[3307].end |
17467.95096875 |
transcript.pyannote[3308].speaker |
SPEAKER_01 |
transcript.pyannote[3308].start |
17468.27159375 |
transcript.pyannote[3308].end |
17484.70784375 |
transcript.pyannote[3309].speaker |
SPEAKER_18 |
transcript.pyannote[3309].start |
17484.94409375 |
transcript.pyannote[3309].end |
17493.98909375 |
transcript.pyannote[3310].speaker |
SPEAKER_01 |
transcript.pyannote[3310].start |
17494.05659375 |
transcript.pyannote[3310].end |
17510.94846875 |
transcript.pyannote[3311].speaker |
SPEAKER_01 |
transcript.pyannote[3311].start |
17511.10034375 |
transcript.pyannote[3311].end |
17512.56846875 |
transcript.pyannote[3312].speaker |
SPEAKER_01 |
transcript.pyannote[3312].start |
17512.93971875 |
transcript.pyannote[3312].end |
17513.32784375 |
transcript.pyannote[3313].speaker |
SPEAKER_01 |
transcript.pyannote[3313].start |
17513.73284375 |
transcript.pyannote[3313].end |
17518.60971875 |
transcript.pyannote[3314].speaker |
SPEAKER_18 |
transcript.pyannote[3314].start |
17519.40284375 |
transcript.pyannote[3314].end |
17520.73596875 |
transcript.pyannote[3315].speaker |
SPEAKER_27 |
transcript.pyannote[3315].start |
17520.73596875 |
transcript.pyannote[3315].end |
17548.71471875 |
transcript.pyannote[3316].speaker |
SPEAKER_18 |
transcript.pyannote[3316].start |
17520.75284375 |
transcript.pyannote[3316].end |
17520.97221875 |
transcript.pyannote[3317].speaker |
SPEAKER_01 |
transcript.pyannote[3317].start |
17548.96784375 |
transcript.pyannote[3317].end |
17573.25096875 |
transcript.pyannote[3318].speaker |
SPEAKER_01 |
transcript.pyannote[3318].start |
17573.62221875 |
transcript.pyannote[3318].end |
17590.75034375 |
transcript.pyannote[3319].speaker |
SPEAKER_01 |
transcript.pyannote[3319].start |
17590.90221875 |
transcript.pyannote[3319].end |
17595.96471875 |
transcript.pyannote[3320].speaker |
SPEAKER_18 |
transcript.pyannote[3320].start |
17596.31909375 |
transcript.pyannote[3320].end |
17629.34346875 |
transcript.pyannote[3321].speaker |
SPEAKER_01 |
transcript.pyannote[3321].start |
17628.26346875 |
transcript.pyannote[3321].end |
17686.24596875 |
transcript.pyannote[3322].speaker |
SPEAKER_01 |
transcript.pyannote[3322].start |
17686.95471875 |
transcript.pyannote[3322].end |
17707.64346875 |
transcript.pyannote[3323].speaker |
SPEAKER_01 |
transcript.pyannote[3323].start |
17707.99784375 |
transcript.pyannote[3323].end |
17755.65284375 |
transcript.pyannote[3324].speaker |
SPEAKER_01 |
transcript.pyannote[3324].start |
17756.37846875 |
transcript.pyannote[3324].end |
17805.31596875 |
transcript.pyannote[3325].speaker |
SPEAKER_01 |
transcript.pyannote[3325].start |
17805.78846875 |
transcript.pyannote[3325].end |
17817.28034375 |
transcript.pyannote[3326].speaker |
SPEAKER_01 |
transcript.pyannote[3326].start |
17817.65159375 |
transcript.pyannote[3326].end |
17829.36284375 |
transcript.pyannote[3327].speaker |
SPEAKER_01 |
transcript.pyannote[3327].start |
17829.75096875 |
transcript.pyannote[3327].end |
17844.19596875 |
transcript.pyannote[3328].speaker |
SPEAKER_01 |
transcript.pyannote[3328].start |
17844.98909375 |
transcript.pyannote[3328].end |
17847.57096875 |
transcript.pyannote[3329].speaker |
SPEAKER_18 |
transcript.pyannote[3329].start |
17847.11534375 |
transcript.pyannote[3329].end |
17852.16096875 |
transcript.pyannote[3330].speaker |
SPEAKER_01 |
transcript.pyannote[3330].start |
17852.16096875 |
transcript.pyannote[3330].end |
17855.55284375 |
transcript.pyannote[3331].speaker |
SPEAKER_18 |
transcript.pyannote[3331].start |
17854.87784375 |
transcript.pyannote[3331].end |
17856.12659375 |
transcript.pyannote[3332].speaker |
SPEAKER_14 |
transcript.pyannote[3332].start |
17858.06721875 |
transcript.pyannote[3332].end |
17859.99096875 |
transcript.pyannote[3333].speaker |
SPEAKER_14 |
transcript.pyannote[3333].start |
17861.76284375 |
transcript.pyannote[3333].end |
17864.91846875 |
transcript.pyannote[3334].speaker |
SPEAKER_14 |
transcript.pyannote[3334].start |
17865.27284375 |
transcript.pyannote[3334].end |
17866.25159375 |
transcript.pyannote[3335].speaker |
SPEAKER_14 |
transcript.pyannote[3335].start |
17866.92659375 |
transcript.pyannote[3335].end |
17867.95596875 |
transcript.pyannote[3336].speaker |
SPEAKER_14 |
transcript.pyannote[3336].start |
17868.09096875 |
transcript.pyannote[3336].end |
17869.54221875 |
transcript.pyannote[3337].speaker |
SPEAKER_14 |
transcript.pyannote[3337].start |
17870.11596875 |
transcript.pyannote[3337].end |
17871.93846875 |
transcript.pyannote[3338].speaker |
SPEAKER_14 |
transcript.pyannote[3338].start |
17872.59659375 |
transcript.pyannote[3338].end |
17874.18284375 |
transcript.pyannote[3339].speaker |
SPEAKER_20 |
transcript.pyannote[3339].start |
17889.37034375 |
transcript.pyannote[3339].end |
17890.34909375 |
transcript.pyannote[3340].speaker |
SPEAKER_14 |
transcript.pyannote[3340].start |
17890.63596875 |
transcript.pyannote[3340].end |
17891.53034375 |
transcript.pyannote[3341].speaker |
SPEAKER_03 |
transcript.pyannote[3341].start |
17900.27159375 |
transcript.pyannote[3341].end |
17900.44034375 |
transcript.pyannote[3342].speaker |
SPEAKER_20 |
transcript.pyannote[3342].start |
17900.44034375 |
transcript.pyannote[3342].end |
17952.75284375 |
transcript.pyannote[3343].speaker |
SPEAKER_03 |
transcript.pyannote[3343].start |
17900.67659375 |
transcript.pyannote[3343].end |
17901.26721875 |
transcript.pyannote[3344].speaker |
SPEAKER_00 |
transcript.pyannote[3344].start |
17915.94846875 |
transcript.pyannote[3344].end |
17915.96534375 |
transcript.pyannote[3345].speaker |
SPEAKER_42 |
transcript.pyannote[3345].start |
17915.96534375 |
transcript.pyannote[3345].end |
17917.31534375 |
transcript.pyannote[3346].speaker |
SPEAKER_18 |
transcript.pyannote[3346].start |
17953.19159375 |
transcript.pyannote[3346].end |
17958.11909375 |
transcript.pyannote[3347].speaker |
SPEAKER_30 |
transcript.pyannote[3347].start |
17958.11909375 |
transcript.pyannote[3347].end |
17958.15284375 |
transcript.pyannote[3348].speaker |
SPEAKER_12 |
transcript.pyannote[3348].start |
17958.32159375 |
transcript.pyannote[3348].end |
17963.48534375 |
transcript.pyannote[3349].speaker |
SPEAKER_30 |
transcript.pyannote[3349].start |
17963.45159375 |
transcript.pyannote[3349].end |
17963.67096875 |
transcript.pyannote[3350].speaker |
SPEAKER_12 |
transcript.pyannote[3350].start |
17963.55284375 |
transcript.pyannote[3350].end |
17967.56909375 |
transcript.pyannote[3351].speaker |
SPEAKER_12 |
transcript.pyannote[3351].start |
17967.67034375 |
transcript.pyannote[3351].end |
17973.96471875 |
transcript.pyannote[3352].speaker |
SPEAKER_12 |
transcript.pyannote[3352].start |
17974.26846875 |
transcript.pyannote[3352].end |
17979.85409375 |
transcript.pyannote[3353].speaker |
SPEAKER_12 |
transcript.pyannote[3353].start |
17980.05659375 |
transcript.pyannote[3353].end |
17982.84096875 |
transcript.pyannote[3354].speaker |
SPEAKER_20 |
transcript.pyannote[3354].start |
17983.29659375 |
transcript.pyannote[3354].end |
18039.94596875 |
transcript.pyannote[3355].speaker |
SPEAKER_20 |
transcript.pyannote[3355].start |
18040.31721875 |
transcript.pyannote[3355].end |
18048.01221875 |
transcript.pyannote[3356].speaker |
SPEAKER_18 |
transcript.pyannote[3356].start |
18048.01221875 |
transcript.pyannote[3356].end |
18049.14284375 |
transcript.pyannote[3357].speaker |
SPEAKER_20 |
transcript.pyannote[3357].start |
18049.54784375 |
transcript.pyannote[3357].end |
18060.02721875 |
transcript.pyannote[3358].speaker |
SPEAKER_12 |
transcript.pyannote[3358].start |
18060.02721875 |
transcript.pyannote[3358].end |
18069.46034375 |
transcript.pyannote[3359].speaker |
SPEAKER_20 |
transcript.pyannote[3359].start |
18069.46034375 |
transcript.pyannote[3359].end |
18072.36284375 |
transcript.pyannote[3360].speaker |
SPEAKER_20 |
transcript.pyannote[3360].start |
18072.91971875 |
transcript.pyannote[3360].end |
18077.91471875 |
transcript.pyannote[3361].speaker |
SPEAKER_20 |
transcript.pyannote[3361].start |
18082.23471875 |
transcript.pyannote[3361].end |
18188.63159375 |
transcript.pyannote[3362].speaker |
SPEAKER_03 |
transcript.pyannote[3362].start |
18105.82596875 |
transcript.pyannote[3362].end |
18106.16346875 |
transcript.pyannote[3363].speaker |
SPEAKER_03 |
transcript.pyannote[3363].start |
18106.43346875 |
transcript.pyannote[3363].end |
18106.87221875 |
transcript.pyannote[3364].speaker |
SPEAKER_21 |
transcript.pyannote[3364].start |
18188.85096875 |
transcript.pyannote[3364].end |
18196.54596875 |
transcript.pyannote[3365].speaker |
SPEAKER_21 |
transcript.pyannote[3365].start |
18197.32221875 |
transcript.pyannote[3365].end |
18200.79846875 |
transcript.pyannote[3366].speaker |
SPEAKER_20 |
transcript.pyannote[3366].start |
18200.86596875 |
transcript.pyannote[3366].end |
18221.11596875 |
transcript.pyannote[3367].speaker |
SPEAKER_00 |
transcript.pyannote[3367].start |
18211.61534375 |
transcript.pyannote[3367].end |
18213.04971875 |
transcript.pyannote[3368].speaker |
SPEAKER_18 |
transcript.pyannote[3368].start |
18214.21409375 |
transcript.pyannote[3368].end |
18214.90596875 |
transcript.pyannote[3369].speaker |
SPEAKER_18 |
transcript.pyannote[3369].start |
18218.95596875 |
transcript.pyannote[3369].end |
18219.46221875 |
transcript.pyannote[3370].speaker |
SPEAKER_20 |
transcript.pyannote[3370].start |
18221.41971875 |
transcript.pyannote[3370].end |
18221.57159375 |
transcript.pyannote[3371].speaker |
SPEAKER_20 |
transcript.pyannote[3371].start |
18222.17909375 |
transcript.pyannote[3371].end |
18222.78659375 |
transcript.pyannote[3372].speaker |
SPEAKER_20 |
transcript.pyannote[3372].start |
18223.05659375 |
transcript.pyannote[3372].end |
18225.30096875 |
transcript.pyannote[3373].speaker |
SPEAKER_20 |
transcript.pyannote[3373].start |
18225.35159375 |
transcript.pyannote[3373].end |
18252.58784375 |
transcript.pyannote[3374].speaker |
SPEAKER_20 |
transcript.pyannote[3374].start |
18253.53284375 |
transcript.pyannote[3374].end |
18283.60409375 |
transcript.pyannote[3375].speaker |
SPEAKER_10 |
transcript.pyannote[3375].start |
18284.41409375 |
transcript.pyannote[3375].end |
18289.94909375 |
transcript.pyannote[3376].speaker |
SPEAKER_20 |
transcript.pyannote[3376].start |
18284.44784375 |
transcript.pyannote[3376].end |
18284.88659375 |
transcript.pyannote[3377].speaker |
SPEAKER_03 |
transcript.pyannote[3377].start |
18284.88659375 |
transcript.pyannote[3377].end |
18284.90346875 |
transcript.pyannote[3378].speaker |
SPEAKER_14 |
transcript.pyannote[3378].start |
18290.60721875 |
transcript.pyannote[3378].end |
18292.63221875 |
transcript.pyannote[3379].speaker |
SPEAKER_14 |
transcript.pyannote[3379].start |
18295.78784375 |
transcript.pyannote[3379].end |
18296.71596875 |
transcript.pyannote[3380].speaker |
SPEAKER_14 |
transcript.pyannote[3380].start |
18296.80034375 |
transcript.pyannote[3380].end |
18298.21784375 |
transcript.pyannote[3381].speaker |
SPEAKER_14 |
transcript.pyannote[3381].start |
18298.85909375 |
transcript.pyannote[3381].end |
18302.53784375 |
transcript.pyannote[3382].speaker |
SPEAKER_14 |
transcript.pyannote[3382].start |
18302.99346875 |
transcript.pyannote[3382].end |
18304.19159375 |
transcript.pyannote[3383].speaker |
SPEAKER_14 |
transcript.pyannote[3383].start |
18305.10284375 |
transcript.pyannote[3383].end |
18308.52846875 |
transcript.pyannote[3384].speaker |
SPEAKER_14 |
transcript.pyannote[3384].start |
18309.16971875 |
transcript.pyannote[3384].end |
18310.77284375 |
transcript.pyannote[3385].speaker |
SPEAKER_14 |
transcript.pyannote[3385].start |
18310.97534375 |
transcript.pyannote[3385].end |
18311.61659375 |
transcript.pyannote[3386].speaker |
SPEAKER_14 |
transcript.pyannote[3386].start |
18311.98784375 |
transcript.pyannote[3386].end |
18313.01721875 |
transcript.pyannote[3387].speaker |
SPEAKER_14 |
transcript.pyannote[3387].start |
18313.94534375 |
transcript.pyannote[3387].end |
18314.87346875 |
transcript.pyannote[3388].speaker |
SPEAKER_14 |
transcript.pyannote[3388].start |
18314.97471875 |
transcript.pyannote[3388].end |
18315.88596875 |
transcript.pyannote[3389].speaker |
SPEAKER_14 |
transcript.pyannote[3389].start |
18316.08846875 |
transcript.pyannote[3389].end |
18316.93221875 |
transcript.pyannote[3390].speaker |
SPEAKER_14 |
transcript.pyannote[3390].start |
18317.38784375 |
transcript.pyannote[3390].end |
18318.51846875 |
transcript.pyannote[3391].speaker |
SPEAKER_14 |
transcript.pyannote[3391].start |
18319.24409375 |
transcript.pyannote[3391].end |
18320.84721875 |
transcript.pyannote[3392].speaker |
SPEAKER_14 |
transcript.pyannote[3392].start |
18321.26909375 |
transcript.pyannote[3392].end |
18321.89346875 |
transcript.pyannote[3393].speaker |
SPEAKER_14 |
transcript.pyannote[3393].start |
18322.26471875 |
transcript.pyannote[3393].end |
18322.87221875 |
transcript.pyannote[3394].speaker |
SPEAKER_14 |
transcript.pyannote[3394].start |
18323.32784375 |
transcript.pyannote[3394].end |
18324.37409375 |
transcript.pyannote[3395].speaker |
SPEAKER_14 |
transcript.pyannote[3395].start |
18325.23471875 |
transcript.pyannote[3395].end |
18327.51284375 |
transcript.pyannote[3396].speaker |
SPEAKER_14 |
transcript.pyannote[3396].start |
18327.95159375 |
transcript.pyannote[3396].end |
18328.98096875 |
transcript.pyannote[3397].speaker |
SPEAKER_14 |
transcript.pyannote[3397].start |
18329.45346875 |
transcript.pyannote[3397].end |
18330.82034375 |
transcript.pyannote[3398].speaker |
SPEAKER_11 |
transcript.pyannote[3398].start |
18340.50659375 |
transcript.pyannote[3398].end |
18342.24471875 |
transcript.pyannote[3399].speaker |
SPEAKER_14 |
transcript.pyannote[3399].start |
18342.37971875 |
transcript.pyannote[3399].end |
18343.17284375 |
transcript.pyannote[3400].speaker |
SPEAKER_11 |
transcript.pyannote[3400].start |
18352.25159375 |
transcript.pyannote[3400].end |
18355.66034375 |
transcript.pyannote[3401].speaker |
SPEAKER_11 |
transcript.pyannote[3401].start |
18356.11596875 |
transcript.pyannote[3401].end |
18363.77721875 |
transcript.pyannote[3402].speaker |
SPEAKER_11 |
transcript.pyannote[3402].start |
18364.26659375 |
transcript.pyannote[3402].end |
18365.75159375 |
transcript.pyannote[3403].speaker |
SPEAKER_11 |
transcript.pyannote[3403].start |
18366.15659375 |
transcript.pyannote[3403].end |
18367.03409375 |
transcript.pyannote[3404].speaker |
SPEAKER_11 |
transcript.pyannote[3404].start |
18367.54034375 |
transcript.pyannote[3404].end |
18372.45096875 |
transcript.pyannote[3405].speaker |
SPEAKER_11 |
transcript.pyannote[3405].start |
18372.50159375 |
transcript.pyannote[3405].end |
18378.49221875 |
transcript.pyannote[3406].speaker |
SPEAKER_30 |
transcript.pyannote[3406].start |
18376.99034375 |
transcript.pyannote[3406].end |
18377.14221875 |
transcript.pyannote[3407].speaker |
SPEAKER_11 |
transcript.pyannote[3407].start |
18379.09971875 |
transcript.pyannote[3407].end |
18382.59284375 |
transcript.pyannote[3408].speaker |
SPEAKER_30 |
transcript.pyannote[3408].start |
18382.79534375 |
transcript.pyannote[3408].end |
18383.08221875 |
transcript.pyannote[3409].speaker |
SPEAKER_11 |
transcript.pyannote[3409].start |
18383.25096875 |
transcript.pyannote[3409].end |
18387.03096875 |
transcript.pyannote[3410].speaker |
SPEAKER_11 |
transcript.pyannote[3410].start |
18387.57096875 |
transcript.pyannote[3410].end |
18392.16096875 |
transcript.pyannote[3411].speaker |
SPEAKER_11 |
transcript.pyannote[3411].start |
18392.58284375 |
transcript.pyannote[3411].end |
18397.34159375 |
transcript.pyannote[3412].speaker |
SPEAKER_11 |
transcript.pyannote[3412].start |
18397.76346875 |
transcript.pyannote[3412].end |
18398.69159375 |
transcript.pyannote[3413].speaker |
SPEAKER_11 |
transcript.pyannote[3413].start |
18399.04596875 |
transcript.pyannote[3413].end |
18401.32409375 |
transcript.pyannote[3414].speaker |
SPEAKER_11 |
transcript.pyannote[3414].start |
18401.57721875 |
transcript.pyannote[3414].end |
18404.39534375 |
transcript.pyannote[3415].speaker |
SPEAKER_11 |
transcript.pyannote[3415].start |
18404.85096875 |
transcript.pyannote[3415].end |
18407.26409375 |
transcript.pyannote[3416].speaker |
SPEAKER_11 |
transcript.pyannote[3416].start |
18407.65221875 |
transcript.pyannote[3416].end |
18412.78221875 |
transcript.pyannote[3417].speaker |
SPEAKER_11 |
transcript.pyannote[3417].start |
18413.32221875 |
transcript.pyannote[3417].end |
18416.15721875 |
transcript.pyannote[3418].speaker |
SPEAKER_11 |
transcript.pyannote[3418].start |
18416.35971875 |
transcript.pyannote[3418].end |
18417.89534375 |
transcript.pyannote[3419].speaker |
SPEAKER_11 |
transcript.pyannote[3419].start |
18418.60409375 |
transcript.pyannote[3419].end |
18421.06784375 |
transcript.pyannote[3420].speaker |
SPEAKER_11 |
transcript.pyannote[3420].start |
18421.84409375 |
transcript.pyannote[3420].end |
18425.55659375 |
transcript.pyannote[3421].speaker |
SPEAKER_11 |
transcript.pyannote[3421].start |
18426.14721875 |
transcript.pyannote[3421].end |
18429.79221875 |
transcript.pyannote[3422].speaker |
SPEAKER_11 |
transcript.pyannote[3422].start |
18430.19721875 |
transcript.pyannote[3422].end |
18431.29409375 |
transcript.pyannote[3423].speaker |
SPEAKER_11 |
transcript.pyannote[3423].start |
18431.81721875 |
transcript.pyannote[3423].end |
18432.35721875 |
transcript.pyannote[3424].speaker |
SPEAKER_11 |
transcript.pyannote[3424].start |
18433.94346875 |
transcript.pyannote[3424].end |
18436.37346875 |
transcript.pyannote[3425].speaker |
SPEAKER_11 |
transcript.pyannote[3425].start |
18436.79534375 |
transcript.pyannote[3425].end |
18439.93409375 |
transcript.pyannote[3426].speaker |
SPEAKER_11 |
transcript.pyannote[3426].start |
18440.52471875 |
transcript.pyannote[3426].end |
18441.55409375 |
transcript.pyannote[3427].speaker |
SPEAKER_11 |
transcript.pyannote[3427].start |
18441.92534375 |
transcript.pyannote[3427].end |
18448.48971875 |
transcript.pyannote[3428].speaker |
SPEAKER_11 |
transcript.pyannote[3428].start |
18448.86096875 |
transcript.pyannote[3428].end |
18450.83534375 |
transcript.pyannote[3429].speaker |
SPEAKER_11 |
transcript.pyannote[3429].start |
18451.54409375 |
transcript.pyannote[3429].end |
18456.91034375 |
transcript.pyannote[3430].speaker |
SPEAKER_11 |
transcript.pyannote[3430].start |
18457.38284375 |
transcript.pyannote[3430].end |
18458.71596875 |
transcript.pyannote[3431].speaker |
SPEAKER_11 |
transcript.pyannote[3431].start |
18459.62721875 |
transcript.pyannote[3431].end |
18481.71659375 |
transcript.pyannote[3432].speaker |
SPEAKER_31 |
transcript.pyannote[3432].start |
18475.13534375 |
transcript.pyannote[3432].end |
18475.16909375 |
transcript.pyannote[3433].speaker |
SPEAKER_30 |
transcript.pyannote[3433].start |
18475.16909375 |
transcript.pyannote[3433].end |
18475.87784375 |
transcript.pyannote[3434].speaker |
SPEAKER_11 |
transcript.pyannote[3434].start |
18481.91909375 |
transcript.pyannote[3434].end |
18497.98409375 |
transcript.pyannote[3435].speaker |
SPEAKER_11 |
transcript.pyannote[3435].start |
18498.20346875 |
transcript.pyannote[3435].end |
18501.00471875 |
transcript.pyannote[3436].speaker |
SPEAKER_11 |
transcript.pyannote[3436].start |
18501.34221875 |
transcript.pyannote[3436].end |
18505.45971875 |
transcript.pyannote[3437].speaker |
SPEAKER_11 |
transcript.pyannote[3437].start |
18505.78034375 |
transcript.pyannote[3437].end |
18509.77971875 |
transcript.pyannote[3438].speaker |
SPEAKER_11 |
transcript.pyannote[3438].start |
18510.06659375 |
transcript.pyannote[3438].end |
18511.70346875 |
transcript.pyannote[3439].speaker |
SPEAKER_11 |
transcript.pyannote[3439].start |
18512.31096875 |
transcript.pyannote[3439].end |
18515.19659375 |
transcript.pyannote[3440].speaker |
SPEAKER_11 |
transcript.pyannote[3440].start |
18516.71534375 |
transcript.pyannote[3440].end |
18517.35659375 |
transcript.pyannote[3441].speaker |
SPEAKER_11 |
transcript.pyannote[3441].start |
18517.99784375 |
transcript.pyannote[3441].end |
18520.02284375 |
transcript.pyannote[3442].speaker |
SPEAKER_11 |
transcript.pyannote[3442].start |
18520.73159375 |
transcript.pyannote[3442].end |
18521.18721875 |
transcript.pyannote[3443].speaker |
SPEAKER_11 |
transcript.pyannote[3443].start |
18521.77784375 |
transcript.pyannote[3443].end |
18522.26721875 |
transcript.pyannote[3444].speaker |
SPEAKER_11 |
transcript.pyannote[3444].start |
18522.84096875 |
transcript.pyannote[3444].end |
18523.68471875 |
transcript.pyannote[3445].speaker |
SPEAKER_11 |
transcript.pyannote[3445].start |
18524.78159375 |
transcript.pyannote[3445].end |
18525.82784375 |
transcript.pyannote[3446].speaker |
SPEAKER_11 |
transcript.pyannote[3446].start |
18527.21159375 |
transcript.pyannote[3446].end |
18528.27471875 |
transcript.pyannote[3447].speaker |
SPEAKER_11 |
transcript.pyannote[3447].start |
18528.89909375 |
transcript.pyannote[3447].end |
18530.18159375 |
transcript.pyannote[3448].speaker |
SPEAKER_11 |
transcript.pyannote[3448].start |
18530.58659375 |
transcript.pyannote[3448].end |
18534.36659375 |
transcript.pyannote[3449].speaker |
SPEAKER_11 |
transcript.pyannote[3449].start |
18534.97409375 |
transcript.pyannote[3449].end |
18537.16784375 |
transcript.pyannote[3450].speaker |
SPEAKER_11 |
transcript.pyannote[3450].start |
18537.47159375 |
transcript.pyannote[3450].end |
18546.51659375 |
transcript.pyannote[3451].speaker |
SPEAKER_11 |
transcript.pyannote[3451].start |
18546.97221875 |
transcript.pyannote[3451].end |
18555.62909375 |
transcript.pyannote[3452].speaker |
SPEAKER_18 |
transcript.pyannote[3452].start |
18556.00034375 |
transcript.pyannote[3452].end |
18560.47221875 |
transcript.pyannote[3453].speaker |
SPEAKER_11 |
transcript.pyannote[3453].start |
18559.56096875 |
transcript.pyannote[3453].end |
18560.23596875 |
transcript.pyannote[3454].speaker |
SPEAKER_11 |
transcript.pyannote[3454].start |
18561.02909375 |
transcript.pyannote[3454].end |
18567.64409375 |
transcript.pyannote[3455].speaker |
SPEAKER_18 |
transcript.pyannote[3455].start |
18564.43784375 |
transcript.pyannote[3455].end |
18564.52221875 |
transcript.pyannote[3456].speaker |
SPEAKER_11 |
transcript.pyannote[3456].start |
18567.77909375 |
transcript.pyannote[3456].end |
18580.89096875 |
transcript.pyannote[3457].speaker |
SPEAKER_18 |
transcript.pyannote[3457].start |
18580.92471875 |
transcript.pyannote[3457].end |
18582.56159375 |
transcript.pyannote[3458].speaker |
SPEAKER_11 |
transcript.pyannote[3458].start |
18582.56159375 |
transcript.pyannote[3458].end |
18585.88596875 |
transcript.pyannote[3459].speaker |
SPEAKER_18 |
transcript.pyannote[3459].start |
18583.33784375 |
transcript.pyannote[3459].end |
18583.54034375 |
transcript.pyannote[3460].speaker |
SPEAKER_18 |
transcript.pyannote[3460].start |
18585.61596875 |
transcript.pyannote[3460].end |
18585.97034375 |
transcript.pyannote[3461].speaker |
SPEAKER_11 |
transcript.pyannote[3461].start |
18585.91971875 |
transcript.pyannote[3461].end |
18599.21721875 |
transcript.pyannote[3462].speaker |
SPEAKER_11 |
transcript.pyannote[3462].start |
18600.88784375 |
transcript.pyannote[3462].end |
18601.76534375 |
transcript.pyannote[3463].speaker |
SPEAKER_11 |
transcript.pyannote[3463].start |
18602.01846875 |
transcript.pyannote[3463].end |
18604.63409375 |
transcript.pyannote[3464].speaker |
SPEAKER_31 |
transcript.pyannote[3464].start |
18604.63409375 |
transcript.pyannote[3464].end |
18605.07284375 |
transcript.pyannote[3465].speaker |
SPEAKER_11 |
transcript.pyannote[3465].start |
18605.07284375 |
transcript.pyannote[3465].end |
18608.29596875 |
transcript.pyannote[3466].speaker |
SPEAKER_11 |
transcript.pyannote[3466].start |
18609.13971875 |
transcript.pyannote[3466].end |
18610.92846875 |
transcript.pyannote[3467].speaker |
SPEAKER_11 |
transcript.pyannote[3467].start |
18611.58659375 |
transcript.pyannote[3467].end |
18616.00784375 |
transcript.pyannote[3468].speaker |
SPEAKER_11 |
transcript.pyannote[3468].start |
18616.46346875 |
transcript.pyannote[3468].end |
18617.76284375 |
transcript.pyannote[3469].speaker |
SPEAKER_11 |
transcript.pyannote[3469].start |
18618.08346875 |
transcript.pyannote[3469].end |
18624.76596875 |
transcript.pyannote[3470].speaker |
SPEAKER_11 |
transcript.pyannote[3470].start |
18625.25534375 |
transcript.pyannote[3470].end |
18628.93409375 |
transcript.pyannote[3471].speaker |
SPEAKER_11 |
transcript.pyannote[3471].start |
18630.23346875 |
transcript.pyannote[3471].end |
18630.87471875 |
transcript.pyannote[3472].speaker |
SPEAKER_11 |
transcript.pyannote[3472].start |
18632.05596875 |
transcript.pyannote[3472].end |
18632.91659375 |
transcript.pyannote[3473].speaker |
SPEAKER_11 |
transcript.pyannote[3473].start |
18634.16534375 |
transcript.pyannote[3473].end |
18634.89096875 |
transcript.pyannote[3474].speaker |
SPEAKER_11 |
transcript.pyannote[3474].start |
18635.78534375 |
transcript.pyannote[3474].end |
18636.89909375 |
transcript.pyannote[3475].speaker |
SPEAKER_11 |
transcript.pyannote[3475].start |
18637.72596875 |
transcript.pyannote[3475].end |
18639.14346875 |
transcript.pyannote[3476].speaker |
SPEAKER_11 |
transcript.pyannote[3476].start |
18639.80159375 |
transcript.pyannote[3476].end |
18640.91534375 |
transcript.pyannote[3477].speaker |
SPEAKER_11 |
transcript.pyannote[3477].start |
18642.14721875 |
transcript.pyannote[3477].end |
18645.20159375 |
transcript.pyannote[3478].speaker |
SPEAKER_11 |
transcript.pyannote[3478].start |
18645.80909375 |
transcript.pyannote[3478].end |
18649.15034375 |
transcript.pyannote[3479].speaker |
SPEAKER_11 |
transcript.pyannote[3479].start |
18649.90971875 |
transcript.pyannote[3479].end |
18652.74471875 |
transcript.pyannote[3480].speaker |
SPEAKER_11 |
transcript.pyannote[3480].start |
18653.06534375 |
transcript.pyannote[3480].end |
18655.22534375 |
transcript.pyannote[3481].speaker |
SPEAKER_11 |
transcript.pyannote[3481].start |
18655.68096875 |
transcript.pyannote[3481].end |
18665.50221875 |
transcript.pyannote[3482].speaker |
SPEAKER_11 |
transcript.pyannote[3482].start |
18666.10971875 |
transcript.pyannote[3482].end |
18671.37471875 |
transcript.pyannote[3483].speaker |
SPEAKER_11 |
transcript.pyannote[3483].start |
18671.77971875 |
transcript.pyannote[3483].end |
18677.61846875 |
transcript.pyannote[3484].speaker |
SPEAKER_11 |
transcript.pyannote[3484].start |
18678.14159375 |
transcript.pyannote[3484].end |
18681.22971875 |
transcript.pyannote[3485].speaker |
SPEAKER_11 |
transcript.pyannote[3485].start |
18681.61784375 |
transcript.pyannote[3485].end |
18684.40221875 |
transcript.pyannote[3486].speaker |
SPEAKER_11 |
transcript.pyannote[3486].start |
18684.55409375 |
transcript.pyannote[3486].end |
18686.84909375 |
transcript.pyannote[3487].speaker |
SPEAKER_11 |
transcript.pyannote[3487].start |
18687.43971875 |
transcript.pyannote[3487].end |
18689.05971875 |
transcript.pyannote[3488].speaker |
SPEAKER_11 |
transcript.pyannote[3488].start |
18689.58284375 |
transcript.pyannote[3488].end |
18689.98784375 |
transcript.pyannote[3489].speaker |
SPEAKER_11 |
transcript.pyannote[3489].start |
18690.96659375 |
transcript.pyannote[3489].end |
18691.54034375 |
transcript.pyannote[3490].speaker |
SPEAKER_11 |
transcript.pyannote[3490].start |
18691.92846875 |
transcript.pyannote[3490].end |
18693.70034375 |
transcript.pyannote[3491].speaker |
SPEAKER_11 |
transcript.pyannote[3491].start |
18693.95346875 |
transcript.pyannote[3491].end |
18697.17659375 |
transcript.pyannote[3492].speaker |
SPEAKER_11 |
transcript.pyannote[3492].start |
18697.58159375 |
transcript.pyannote[3492].end |
18698.88096875 |
transcript.pyannote[3493].speaker |
SPEAKER_11 |
transcript.pyannote[3493].start |
18699.38721875 |
transcript.pyannote[3493].end |
18703.42034375 |
transcript.pyannote[3494].speaker |
SPEAKER_17 |
transcript.pyannote[3494].start |
18703.79159375 |
transcript.pyannote[3494].end |
18704.95596875 |
transcript.pyannote[3495].speaker |
SPEAKER_11 |
transcript.pyannote[3495].start |
18705.17534375 |
transcript.pyannote[3495].end |
18708.70221875 |
transcript.pyannote[3496].speaker |
SPEAKER_17 |
transcript.pyannote[3496].start |
18707.18346875 |
transcript.pyannote[3496].end |
18707.20034375 |
transcript.pyannote[3497].speaker |
SPEAKER_14 |
transcript.pyannote[3497].start |
18707.20034375 |
transcript.pyannote[3497].end |
18707.84159375 |
transcript.pyannote[3498].speaker |
SPEAKER_17 |
transcript.pyannote[3498].start |
18707.84159375 |
transcript.pyannote[3498].end |
18707.87534375 |
transcript.pyannote[3499].speaker |
SPEAKER_14 |
transcript.pyannote[3499].start |
18707.87534375 |
transcript.pyannote[3499].end |
18707.89221875 |
transcript.pyannote[3500].speaker |
SPEAKER_14 |
transcript.pyannote[3500].start |
18711.65534375 |
transcript.pyannote[3500].end |
18713.81534375 |
transcript.pyannote[3501].speaker |
SPEAKER_14 |
transcript.pyannote[3501].start |
18716.49846875 |
transcript.pyannote[3501].end |
18720.64971875 |
transcript.pyannote[3502].speaker |
SPEAKER_14 |
transcript.pyannote[3502].start |
18724.19346875 |
transcript.pyannote[3502].end |
18728.81721875 |
transcript.pyannote[3503].speaker |
SPEAKER_11 |
transcript.pyannote[3503].start |
18726.65721875 |
transcript.pyannote[3503].end |
18728.05784375 |
transcript.pyannote[3504].speaker |
SPEAKER_14 |
transcript.pyannote[3504].start |
18729.71159375 |
transcript.pyannote[3504].end |
18731.38221875 |
transcript.pyannote[3505].speaker |
SPEAKER_14 |
transcript.pyannote[3505].start |
18732.64784375 |
transcript.pyannote[3505].end |
18733.27221875 |
transcript.pyannote[3506].speaker |
SPEAKER_14 |
transcript.pyannote[3506].start |
18733.72784375 |
transcript.pyannote[3506].end |
18734.31846875 |
transcript.pyannote[3507].speaker |
SPEAKER_14 |
transcript.pyannote[3507].start |
18734.72346875 |
transcript.pyannote[3507].end |
18735.28034375 |
transcript.pyannote[3508].speaker |
SPEAKER_14 |
transcript.pyannote[3508].start |
18737.05221875 |
transcript.pyannote[3508].end |
18738.08159375 |
transcript.pyannote[3509].speaker |
SPEAKER_14 |
transcript.pyannote[3509].start |
18739.36409375 |
transcript.pyannote[3509].end |
18742.21596875 |
transcript.pyannote[3510].speaker |
SPEAKER_14 |
transcript.pyannote[3510].start |
18743.29596875 |
transcript.pyannote[3510].end |
18744.98346875 |
transcript.pyannote[3511].speaker |
SPEAKER_14 |
transcript.pyannote[3511].start |
18745.30409375 |
transcript.pyannote[3511].end |
18745.70909375 |
transcript.pyannote[3512].speaker |
SPEAKER_14 |
transcript.pyannote[3512].start |
18746.60346875 |
transcript.pyannote[3512].end |
18746.95784375 |
transcript.pyannote[3513].speaker |
SPEAKER_14 |
transcript.pyannote[3513].start |
18747.05909375 |
transcript.pyannote[3513].end |
18749.37096875 |
transcript.pyannote[3514].speaker |
SPEAKER_14 |
transcript.pyannote[3514].start |
18749.82659375 |
transcript.pyannote[3514].end |
18751.68284375 |
transcript.pyannote[3515].speaker |
SPEAKER_14 |
transcript.pyannote[3515].start |
18752.25659375 |
transcript.pyannote[3515].end |
18756.67784375 |
transcript.pyannote[3516].speaker |
SPEAKER_14 |
transcript.pyannote[3516].start |
18756.89721875 |
transcript.pyannote[3516].end |
18759.20909375 |
transcript.pyannote[3517].speaker |
SPEAKER_14 |
transcript.pyannote[3517].start |
18759.56346875 |
transcript.pyannote[3517].end |
18762.11159375 |
transcript.whisperx[0].start |
1800.233 |
transcript.whisperx[0].end |
1804.756 |
transcript.whisperx[0].text |
好我們現在開會初期委員與主法定人數現在開會請議事委員宣讀上次會議議事錄 |
transcript.whisperx[1].start |
1811.226 |
transcript.whisperx[1].end |
1834.166 |
transcript.whisperx[1].text |
立法院第11屆第2會期交通委員會第7次全體委員會議一事錄時間113年10月23日星期三上午9時至下午1時54分10月24日星期四上午9時至下午2時36分地點本院紅樓201會議室出席委員李昆哲等15人列席委員林倩琦等38人列席官員10月23日交通部部長陳世凱等 |
transcript.whisperx[2].start |
1835.942 |
transcript.whisperx[2].end |
1856.055 |
transcript.whisperx[2].text |
10月24日交通部部長陳世凱等主席盧昭吉委員明哲10月23日報告思想宣讀上次會議議事錄決定議事錄確定一、邀請交通部部長陳世凱等進行專題報告並備諮詢二、邀請交通部鐵路局局長進行專題報告並備諮詢三、邀請數位花園部部長黃彥南等進行專題報告並備諮詢 |
transcript.whisperx[3].start |
1858.618 |
transcript.whisperx[3].end |
1881.549 |
transcript.whisperx[3].text |
本日會議由交通部部長陳世凱等報告後就委員李坤哲等二期人提出質詢軍警部長陳世凱及相關人員分別予以答覆決定一、報告及詢討完畢二、為郵號等三人所提書面質詢均列入記錄並刊登公報三、委員於質詢中要求提供相關書面資料或未及答覆部分請相關機關監視署以書面答覆 |
transcript.whisperx[4].start |
1882.256 |
transcript.whisperx[4].end |
1906.582 |
transcript.whisperx[4].text |
10月24日一、邀請交通部部長陳世凱等進行專題報告並備諮詢二、邀請交通部公路局局長進行專題報告並備諮詢本日會議由交通部部長陳世凱等報告後、紀委委員李昆哲等26人提出諮詢軍警部長陳世凱及相關人員分別予以答覆決定一、報告及詢討完畢二、為郵號等二人所提出的諮詢均列入紀錄並刊登公報 |
transcript.whisperx[5].start |
1907.409 |
transcript.whisperx[5].end |
1932.788 |
transcript.whisperx[5].text |
三委員於諮詢中要求提供相關書面資料或未及答覆部份以及相關機關金屬與書面答覆散會宣讀完畢好我們一速等一下再確定我們現在介紹在場的委員林佩祥委員謝謝林委員接下來介紹一下列席的人員首先介紹我們交通部陳世凱部長 |
transcript.whisperx[6].start |
1935.776 |
transcript.whisperx[6].end |
1950.788 |
transcript.whisperx[6].text |
行政司韓正華市長、公共運輸局監理司林福山市長、觀光署周永輝署長民航局何淑萍局長、航港局葉協榮局長 |
transcript.whisperx[7].start |
1966.547 |
transcript.whisperx[7].end |
1991.426 |
transcript.whisperx[7].text |
公路局陳文瑞局長、高速公路局趙新華局長、鐵道局楊振軍局長、台鐵公司杜威董事長、淘機公司楊維甫董事長、臺灣港務公司李賢義董事長 |
transcript.whisperx[8].start |
1997.186 |
transcript.whisperx[8].end |
2024.29 |
transcript.whisperx[8].text |
臺灣高鐵鄭光源總經理謝謝鄭總給董事長開他們今天開好像董事會嘛在準備所以有總經理出席以及我們謝謝從外委會來支援的外交部唐電文主秘謝謝唐主秘謝謝領事事務局何振環局長好何局長國際傳播師徐永梅司長 |
transcript.whisperx[9].start |
2027.605 |
transcript.whisperx[9].end |
2051.103 |
transcript.whisperx[9].text |
接下來是內政部內政部我們這是國土署嗎國家公園署陳真榮代理署長謝謝署長以及我們農業部林業及自然保育署林浩真副署長林副署長最後是我們行政院消保處陳勛宏副署長陳副署長 |
transcript.whisperx[10].start |
2055.606 |
transcript.whisperx[10].end |
2065.286 |
transcript.whisperx[10].text |
好我們現在確認一下議事錄請問各位委員對於上次會議的議事錄有沒有意見好沒有意見那議事錄確定 |
transcript.whisperx[11].start |
2069.281 |
transcript.whisperx[11].end |
2093.271 |
transcript.whisperx[11].text |
接下來本次會議進行第一如何提升國外旅客來臺觀光人數及優化國旅體驗及降低旅遊消費爭議第二個專題是2025年臺灣燈會辦理情形及交通輸印方案兩個專題做報告現在我們就請列席警官來進行報告首先請交通部陳世凱部長報告 |
transcript.whisperx[12].start |
2102 |
transcript.whisperx[12].end |
2128.352 |
transcript.whisperx[12].text |
主席、各位委員、各位女士先生今天應邀到大院交通委員會報告如何提升國外旅客來臺觀光人數即優化國旅體驗以及降低旅遊消費爭議及2025年臺灣燈會辦理情形即交通輸運方案首先對於大院委員關切觀光議題表達感謝之意 |
transcript.whisperx[13].start |
2129.812 |
transcript.whisperx[13].end |
2151.687 |
transcript.whisperx[13].text |
2024年來來臺的市場第一季表現良好回復到疫情之前的七成水準但是在4月起受到天災跟地緣政治還有主力客源日本的這個日本貨幣貶值等等的因素衝擊來臺人數的人次1到8月份達到 |
transcript.whisperx[14].start |
2152.892 |
transcript.whisperx[14].end |
2162.7 |
transcript.whisperx[14].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[15].start |
2182.281 |
transcript.whisperx[15].end |
2197.05 |
transcript.whisperx[15].text |
的宣傳各項計畫加碼活動等等並在上週也就是10月28日發表全新的國際宣傳影片以四大主題Share、Discover、Engage、Enjoy |
transcript.whisperx[16].start |
2199.831 |
transcript.whisperx[16].end |
2212.554 |
transcript.whisperx[16].text |
傳達臺灣從自然景觀到多元文化的獨特魅力近期我們將會在CNN還有BBC等等的國際媒體以及社群平台播放期盼吸引更多的國際旅客來臺觀光 |
transcript.whisperx[17].start |
2214.435 |
transcript.whisperx[17].end |
2223.644 |
transcript.whisperx[17].text |
觀光署致力於推動永續旅遊在國際旅貨佳績2023年全球綠色目的地百大故事獎當中臺灣就佔了6個2024年更榮獲9個獎項為歷年來獲獎最多的一年 |
transcript.whisperx[18].start |
2232.52 |
transcript.whisperx[18].end |
2254.251 |
transcript.whisperx[18].text |
觀光署秉持永續的理念持續建構世界級的觀光景點以及活動用心營造安全安心的旅遊環境並且攜手22個縣市推出台灣觀光100亮點結合亮點景點、主題活動以及旅遊優惠拓展區域觀光魅力 |
transcript.whisperx[19].start |
2255.712 |
transcript.whisperx[19].end |
2257.954 |
transcript.whisperx[19].text |
開拓來臺商機、捲動國旅的熱潮此外,2025年臺灣燈會將在2月在桃園舉行 |
transcript.whisperx[20].start |
2265.475 |
transcript.whisperx[20].end |
2279.018 |
transcript.whisperx[20].text |
整體的主題將融入環保永續的概念多元文化以及族群特色並且展現桃園的特色以及文化的內涵屆時將配合鄰近的機場捷運高鐵桃園站軌道運輸系統規劃大眾運輸為主的運輸工具嚴提交通輸運的方案以下 |
transcript.whisperx[21].start |
2288.663 |
transcript.whisperx[21].end |
2295.501 |
transcript.whisperx[21].text |
請本部觀光署、周署長永輝就上開議題進行專案報告,敬請各位委員指教。謝謝。 |
transcript.whisperx[22].start |
2305.123 |
transcript.whisperx[22].end |
2329.538 |
transcript.whisperx[22].text |
主席、各位委員、各位女士、各位先生今天應邀列席貴委員會針對如何提升國外旅客來臺觀光人數及優化國旅體驗及降低旅遊消費爭議以及2025台灣燈會辦理情形及交通輸運方案兩大議題進行專案報告以下請就交通部觀光署 |
transcript.whisperx[23].start |
2330.881 |
transcript.whisperx[23].end |
2356.432 |
transcript.whisperx[23].text |
執行重點提出專案報告,敬請各位委員指教有關議題一,我們在疫情過後,也就是去年的3月各國都加緊了觀光產業的復甦腳步,臺灣亦負如此在各部會的協助之下,積極推出加速擴大吸引國際觀光客方案 |
transcript.whisperx[24].start |
2357.557 |
transcript.whisperx[24].end |
2384.279 |
transcript.whisperx[24].text |
在提升國外旅客來臺觀光人數部分我們除掌握過去第一季到第三季之外那麼其實第四季是各國來臺的旅客的旺季時機因此觀光署全面啟動各項宣傳計畫以及加碼活動一方面國際行銷飲客另一方面促進國旅活化 |
transcript.whisperx[25].start |
2385.202 |
transcript.whisperx[25].end |
2407.743 |
transcript.whisperx[25].text |
那麼並推出環島的百大亮點鼓勵國內外旅客走訪台灣各地來捲動旅遊在策略做法上主要有三個部分就是引客來臺、捲動國旅、跨部會合作在引客來臺的部分其實在觀光的五大策略 |
transcript.whisperx[26].start |
2408.928 |
transcript.whisperx[26].end |
2437.108 |
transcript.whisperx[26].text |
其一觀光行銷組織的整備我們規劃成立觀光研訓院來成就我們觀光的一個智庫這個部分我們會在年底會提送到行政院那麼我們希望透過智庫的成立推動產業研究及人才的培育那麼在積極推動的五大策略裡面包括了拓展多元市場 |
transcript.whisperx[27].start |
2438.602 |
transcript.whisperx[27].end |
2455.059 |
transcript.whisperx[27].text |
包括日韓、港星馬跟太妃以及重要的雙印那麼我們也希望能夠達到駐外有18個辦事處而同時有9個旅遊服務中心我們叫做臺灣旅遊服務分處 |
transcript.whisperx[28].start |
2457.622 |
transcript.whisperx[28].end |
2482.341 |
transcript.whisperx[28].text |
那第二個要靈活運用臺灣的觀光新品牌3.0剛剛部長也特別報告過臺灣Webs of Wonder我們臺灣魅力驚喜無限它是經過三波的一個推廣所以我們第一波的推廣已經全球播放那麼再來就是第二波的春夏秋冬四季的影片的行銷 |
transcript.whisperx[29].start |
2483.522 |
transcript.whisperx[29].end |
2489.971 |
transcript.whisperx[29].text |
那麼第三波呢就是要是再更深入的用社群網絡代言 |
transcript.whisperx[30].start |
2491.986 |
transcript.whisperx[30].end |
2520.098 |
transcript.whisperx[30].text |
甚至更多的這個話題來做捲動第三部分就是要擴大影客共同推升市場的行銷的聲量我們加強執行加速擴大影客方案之外我們也透過海外的旅展我們的推廣會以及戶內戶外的廣告行銷還有數位行銷跟所謂的社群行銷來強力影客 |
transcript.whisperx[31].start |
2521.238 |
transcript.whisperx[31].end |
2528.46 |
transcript.whisperx[31].text |
第4部分是增加入境旅客的誘因爭取潛力市場的客源推動一城多站 |
transcript.whisperx[32].start |
2529.551 |
transcript.whisperx[32].end |
2550.75 |
transcript.whisperx[32].text |
那麼一層多站的轉機客包括北美市場我們目前有40萬那麼如何讓轉機客成為一種順道台灣的旅遊也就所謂的國際旅遊是一個非常重要的課題第二個爭取國際大型活動在台灣舉辦除了各部會的努力之外觀光署也爭取到2025世界賞鳥博覽會跟2025的世界露營大會在台灣舉辦 |
transcript.whisperx[33].start |
2556.798 |
transcript.whisperx[33].end |
2577.034 |
transcript.whisperx[33].text |
接著我們也要打造臺灣成為亞洲郵輪市場的重任因為疫情之後郵輪已經變成一個非常重要的旅遊的一個媒介那麼它也是一個移動式的旅館因此如何積極推動我們也串聯了基隆、高雄、花蓮 |
transcript.whisperx[34].start |
2577.814 |
transcript.whisperx[34].end |
2584.259 |
transcript.whisperx[34].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[35].start |
2599.278 |
transcript.whisperx[35].end |
2622.485 |
transcript.whisperx[35].text |
第5個部分呢也就是最重要就是優化要優惠促銷方案目前是各國長年以來的重要工具與手段尤其是疫後更多的國家都是增香加碼那我國仍然會穩健、省慎來推動各項優惠的促銷措施包括一 |
transcript.whisperx[36].start |
2623.757 |
transcript.whisperx[36].end |
2642.402 |
transcript.whisperx[36].text |
國際旅客來臺的機票優惠那麼觀光署也跟各駐外辦事處與航空公司跟旅行社合作輸入機票的買三送一或買二送一這是按照市場的區隔跟市場的特性而做區分 |
transcript.whisperx[37].start |
2644.588 |
transcript.whisperx[37].end |
2668.857 |
transcript.whisperx[37].text |
也推出了限量的福袋、優惠的旅宿跟交通的票券那麼尤其是自由行的部分我們用這個儲值儲值金的方式、電子票證的方式來引客第二部分是高鐵的旅運優惠我們從去年的9月13號開始就是持續用短期的旅客觀光簽證那麼來購買單程的 |
transcript.whisperx[38].start |
2672.708 |
transcript.whisperx[38].end |
2676.729 |
transcript.whisperx[38].text |
有限公司董事長、臺灣港務股份有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[39].start |
2699.467 |
transcript.whisperx[39].end |
2720.006 |
transcript.whisperx[39].text |
國內版跟國外版那國外版、海外版呢叫做高鐵版那麼第三個部分呢我們也加速擴大團客旅遊為我們花蓮來加碼所以這個部分呢我們目前也將七天六夜的行程的優惠門檻降低到五天四夜那麼我們就希望能夠帶動這個振興東部旅遊 |
transcript.whisperx[40].start |
2723.035 |
transcript.whisperx[40].end |
2747.946 |
transcript.whisperx[40].text |
那麽另外就是由臺灣金服器的部分我們也為了拉臺第四季所以我們有一個one more time的加碼活動也就是從遊客可以再抽一次那麽來刺激這個促銷的一個方式針對大家所關心的捲動國旅的部分原則上我們有幾個方案第一個就是 |
transcript.whisperx[41].start |
2749.138 |
transcript.whisperx[41].end |
2753.22 |
transcript.whisperx[41].text |
有限公司董事長、臺灣港務股份有限公司董事長、外交部國家公園署 |
transcript.whisperx[42].start |
2767.265 |
transcript.whisperx[42].end |
2782.123 |
transcript.whisperx[42].text |
每個月都有月的特性也就是所謂的月月各有特色的執行縣市例如從11月開始我們就希望是一個溫泉月最執行的就是台中市跟花蓮縣 |
transcript.whisperx[43].start |
2783.524 |
transcript.whisperx[43].end |
2801.142 |
transcript.whisperx[43].text |
那麼下個月12月呢我們希望是購買月所以購物節能夠做串接那麼臺北之外其實嘉義它有很多伴手禮也是可以做串聯的所以我們希望用一個環島的方式來做一個月月的這個引領 |
transcript.whisperx[44].start |
2802.643 |
transcript.whisperx[44].end |
2828.6 |
transcript.whisperx[44].text |
其次我們要整合高鐵、台鐵還有四大捷運系統跟臺灣好行推出的臺灣帕子的部分我們希望能夠擴大那麼其次就是臺灣A1旅宿網我們推出的優速專案鼓勵業者來提供更平價優惠的住宿其次特色活動來升級所以我們除了2025年的臺灣燈會之外 |
transcript.whisperx[45].start |
2833.208 |
transcript.whisperx[45].end |
2846.321 |
transcript.whisperx[45].text |
接續會有一個報告就是針對2025年的台灣燈會的報告那麼我們也希望能夠帶動更多的國際化剛剛部長有特別提到我們全球的百大亮點裡面有六大亮點在台灣 |
transcript.whisperx[46].start |
2847.472 |
transcript.whisperx[46].end |
2858.002 |
transcript.whisperx[46].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[47].start |
2872.156 |
transcript.whisperx[47].end |
2895.646 |
transcript.whisperx[47].text |
那麼我們接續在陳部長的討論之後我們也推動了所謂的這個3.0也就是希望能夠結合更多的演唱活動來加碼那因此我們希望能夠帶動11月跟12月的所以我們就以這個第一碗1000元第二碗1500元的方式折扣希望能夠更多人留在 |
transcript.whisperx[48].start |
2896.949 |
transcript.whisperx[48].end |
2905.609 |
transcript.whisperx[48].text |
花蓮來帶動花蓮的景氣而為了台東的部分我們是採取平日跟假日都可以申請一千元的補助 |
transcript.whisperx[49].start |
2908.635 |
transcript.whisperx[49].end |
2932.106 |
transcript.whisperx[49].text |
接著就是擴大以及整合、結合部會資源來做跨域的合作今天各部會也到我們的交通委員會來做專案報告那我簡單的說明一下其實我們非常多的開發多元的旅遊主題我們確實也需要跟林業署、跟國家公運署做合作那麼 |
transcript.whisperx[50].start |
2933.146 |
transcript.whisperx[50].end |
2962.225 |
transcript.whisperx[50].text |
我們也需要跟經濟部做合作推動山道旅遊尤其是有非常多的橋嶺能夠橋包的一些還有青年旅遊的活動我們都接續來跟各部位來推動而我們在交通部本身也有機關的協力譬如增加航線、航班推動郵輪還有燈塔旅遊以及鐵道旅遊等等還有包括自行車旅遊希望能夠建構良善的自行車旅遊環境 |
transcript.whisperx[51].start |
2963.887 |
transcript.whisperx[51].end |
2984.861 |
transcript.whisperx[51].text |
那麼接續就是大家所關心的如何降低旅遊消費爭議自疫情之後旅遊逐步復甦交通部觀光署在去年的9月15成立之後也立即加強相關的旅遊安全宣導那麼我們也持續希望能夠從源頭減少糾紛來做辦理 |
transcript.whisperx[52].start |
2989.724 |
transcript.whisperx[52].end |
3017.892 |
transcript.whisperx[52].text |
那因此有幾個部分跟各位委員報告在加強消費者保護措施方面主要有一、旅遊糾紛的調處服務二、從業人員的糾紛處理訓練、教育訓練那麼我們也辦了四場那麼覺得也不夠所以我們也擴大做一些線上來做輔導那麼尤其是各縣市的工協會第三、適時發布警訊及安全宣導 |
transcript.whisperx[53].start |
3019.298 |
transcript.whisperx[53].end |
3041.704 |
transcript.whisperx[53].text |
那麼我們也定每年的3月為旅遊安全月來加強這個安全的這個意識那麼第4點就是提高履約保證保險為有效確保消費者的權益觀光署已與業者取得共識課證修法中我們將履約保證金從現行的500萬 |
transcript.whisperx[54].start |
3044.414 |
transcript.whisperx[54].end |
3071.73 |
transcript.whisperx[54].text |
提高到1500萬並擬至114年的1月起來實施二、在旅行社稽查與管理方面我們有幾個做法一、每月固定查核旅行社二、加強查查旅行社旅遊團體的現況三、擴大檢查票據信用監控措施 |
transcript.whisperx[55].start |
3073.146 |
transcript.whisperx[55].end |
3081.598 |
transcript.whisperx[55].text |
是建立重點查核對象以上四項重點也是蔣佑泰烈所應有的作為 |
transcript.whisperx[56].start |
3083.157 |
transcript.whisperx[56].end |
3088.542 |
transcript.whisperx[56].text |
接著我請就這個議題二2025年臺灣燈會辦理進行與交通輸運方案跟各位委員報告臺灣燈會以為國際知名的活動為臺灣傳統民俗節慶的盛會並為2024年全球四大亮點活動與巴黎奧運同為國際盛事 |
transcript.whisperx[57].start |
3106.9 |
transcript.whisperx[57].end |
3126.653 |
transcript.whisperx[57].text |
所以臺灣燈會已經成為我國的國際影客亮點活動那麼有關於臺灣燈會的辦理情形我們持續跟桃園市來做合作那麼今年2025年是正逢第36屆的這個臺灣燈會也是桃園市繼2016年睽違9年之後再度舉辦 |
transcript.whisperx[58].start |
3135.441 |
transcript.whisperx[58].end |
3158.071 |
transcript.whisperx[58].text |
那麼我們預定的時間就是在元宵節也就是2025年的2月12日那麼為開燈日那麼到2月23日必燈幕為期12天那主辦城市呢他們希望能夠擴大燈會的這個效益所以他們會提早來開燈那麼也配合一些相關的活動 |
transcript.whisperx[59].start |
3159.051 |
transcript.whisperx[59].end |
3173.541 |
transcript.whisperx[59].text |
因此我們交通部觀光署與桃園市政府也藉由桃園獨特的魅力所謂的地形特色還有年輕人的活力智慧科技那麼我們 |
transcript.whisperx[60].start |
3174.963 |
transcript.whisperx[60].end |
3202.301 |
transcript.whisperx[60].text |
以光緒千塘串桃園為主軸那麼最重要有兩個特色就是桃園國際機場第二個就是我們的棒球那麼我們也會中華職棒來做連結我們把棒球場巧妙運用也納入我們這次的燈會透過各式的燈會的形式來映照桃園多元的城市樣貌 |
transcript.whisperx[61].start |
3203.53 |
transcript.whisperx[61].end |
3218.762 |
transcript.whisperx[61].text |
那在中央燈區是在高鐵的桃園站那我們叫做這個A18站配合桃園市希望用桃園桃園捷運機場捷運線的代碼那麼第二呢是在這個桃園體育區站的A19 |
transcript.whisperx[62].start |
3221.644 |
transcript.whisperx[62].end |
3250.552 |
transcript.whisperx[62].text |
那也就是一個雙主燈展區的概念來推動那麼有關於目前規劃中的主展區也就是A18觀光署主辦的部分我們依進度在進行所以我們是用棒球場的概念把主燈跟副主燈用壘包的方式來做呈現希望能夠有不一樣的臺灣燈會另外有關於桃園市政府的A19的部分他們希望能夠展現活力 |
transcript.whisperx[63].start |
3251.152 |
transcript.whisperx[63].end |
3253.175 |
transcript.whisperx[63].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[64].start |
3266.38 |
transcript.whisperx[64].end |
3294.643 |
transcript.whisperx[64].text |
目前交通輸運的部分觀光署已經補助了桃園市政府按照往例有100萬的輸運計畫的規劃辦理另外桃園市政府也正進行規劃優先引導參展觀賞台灣燈會的民眾來搭乘高鐵、台鐵有8000席的警車位的配置為了鼓勵公共運輸觀光署也跟台鐵做合作 |
transcript.whisperx[65].start |
3295.566 |
transcript.whisperx[65].end |
3300.251 |
transcript.whisperx[65].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[66].start |
3311.133 |
transcript.whisperx[66].end |
3338.889 |
transcript.whisperx[66].text |
各部會以及觀光署都會充分來協助來辦理那麼相關的交通輸運接駁計畫或者是花燈的競賽大型活動的緊急應變指標設置競賽燈區的相關的電力等問題也都是我們有持續在進行那麼各單位的報告可能也是有等一下會有各單位的相關的報告 |
transcript.whisperx[67].start |
3339.81 |
transcript.whisperx[67].end |
3355.098 |
transcript.whisperx[67].text |
那我們會這個持續將這些競賽的燈區以及接駁的事項會跟桃園市政府充分溝通能夠如期如質來舉辦臺灣燈會2025在桃園綜合以上江部觀光署除積極強化目標市場各項飲客措施外 |
transcript.whisperx[68].start |
3366.184 |
transcript.whisperx[68].end |
3375.662 |
transcript.whisperx[68].text |
各部會也推出了很多優惠的措施我們希望以多元行銷推廣那麼部會跟地方共同合力透過 |
transcript.whisperx[69].start |
3376.798 |
transcript.whisperx[69].end |
3401.597 |
transcript.whisperx[69].text |
行政院相關會議來整合各部會的觀光資源擴大參與能量達成來臺旅客送客目標以及2025臺灣燈會的重要盛事希望能夠引領國內外旅客看見臺灣低碳生態永續的新價值來促進整體觀光產業發展能量以上報告敬請各位委員支持指教謝謝 |
transcript.whisperx[70].start |
3403.988 |
transcript.whisperx[70].end |
3420.02 |
transcript.whisperx[70].text |
好謝謝交通部交通部的報告比較厚重因為那個業務單位那我們再請一下這個就是友軍單位我們再請一位這個外交部外交部因為今天謝謝祖密祖密都很熱心來報告一下因為我剛剛看你的報告能不能 |
transcript.whisperx[71].start |
3420.7 |
transcript.whisperx[71].end |
3439.545 |
transcript.whisperx[71].text |
因為轉機客已經比疫情前大概3到5%現在已經大概16、17%了這個生意可不可以做因為我跟觀光交通部討論了半天他說這個怎麼樣進來是不是你待會請主秘也是一併說明好我們請外交部唐電文主秘來做報告 |
transcript.whisperx[72].start |
3448.914 |
transcript.whisperx[72].end |
3462.413 |
transcript.whisperx[72].text |
謝謝主席主席各位委員在座各位女士各位先生大家早安感謝貴委員會邀請就如何提升國外旅客來臺觀光人數及優化國立體驗及降低消費爭議進行報告並被質詢 |
transcript.whisperx[73].start |
3465.177 |
transcript.whisperx[73].end |
3489.264 |
transcript.whisperx[73].text |
外交部為了配合政府推動吸引外籍觀光客來臺的政策全力協同交通部觀光署及內政部的移民署等機關實施多項外籍人士來臺簽證以及入境便利措施並藉由強化相關的國際文宣提升臺灣國際能見度以下資就簽證入境以及國際文宣等措施說明如此 |
transcript.whisperx[74].start |
3489.924 |
transcript.whisperx[74].end |
3518.24 |
transcript.whisperx[74].text |
以外籍人士來臺簽證以及入境的便利措施經過綜合考量我國與各國的關係社會經濟發展情形移民以及安全風險程度目前呢我國是也給予65個國家免簽證的待遇這65個國家中間還包括三個事半的國家泰國、汶萊以及菲律賓那麼另外呢還有18個國家呢可以享受電子簽證待遇的服務便利取等來臺旅遊 |
transcript.whisperx[75].start |
3519.341 |
transcript.whisperx[75].end |
3534.649 |
transcript.whisperx[75].text |
另外外交部為了配合政府推動新南向政策自105年起每年就邀集相關的部會共同會商決議針對新南向國家實施多項簽證以及入境的便利措施第一個就是事辦 |
transcript.whisperx[76].start |
3535.489 |
transcript.whisperx[76].end |
3537.63 |
transcript.whisperx[76].text |
有限公司董事長、臺灣港務股份有限公司 |
transcript.whisperx[77].start |
3566.069 |
transcript.whisperx[77].end |
3590.794 |
transcript.whisperx[77].text |
有關設置國際文宣提升臺灣國際的能見度外交部配合去年行政院促進義後旅客來臺的政策辦理國際文宣推廣國家整體的形象辦理的情形如下第一個軟實力的影片行銷去年我們設置了觀光溫泉美食等五部的主題短片並且協助宣傳行政院委制觀光影片 |
transcript.whisperx[78].start |
3591.694 |
transcript.whisperx[78].end |
3616.031 |
transcript.whisperx[78].text |
經過外交部以及駐外管處與社群媒體平臺推廣上述影片的觀看總數超過了3250萬次另外外交部與Discovery頻道合制了新竹探位臺灣的紀錄片藉由美食文化吸引旅客上年底起於亞洲20個國家播出其中6個國家的收視調查超過了918萬戶社群媒體的平臺曝光數超過了千萬 |
transcript.whisperx[79].start |
3621.414 |
transcript.whisperx[79].end |
3643.513 |
transcript.whisperx[79].text |
第2個巴黎奧運的國際文宣本年藉由國際運動的盛事我們外交部特別行銷臺灣與外交部與文化部共同補助臺灣展演的團隊參與巴黎的文化奧運進行兩個星期的展演現場並且分送臺灣印象碑墊等文宣小物每日都吸引了6000到1萬人到場 |
transcript.whisperx[80].start |
3645.214 |
transcript.whisperx[80].end |
3666.643 |
transcript.whisperx[80].text |
另外我們也測試臺灣影像世界短片、結合運動、地景、人文等總觀看數超過1480萬次明年也規劃藉著日本大阪勢博會擴大國際文宣第三個多元管道加強持續推廣本部持續運用經營的多語文 |
transcript.whisperx[81].start |
3667.363 |
transcript.whisperx[81].end |
3677.129 |
transcript.whisperx[81].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[82].start |
3688.216 |
transcript.whisperx[82].end |
3712.907 |
transcript.whisperx[82].text |
整體的規劃與相關部會合作以力達成政策目標期盼大院各位委員持續支持並且指教謝謝主席剛剛提到那個我們外交部這邊會全力配合觀光署與內政部移民署的規劃來辦理謝謝好謝謝外交部提這麼多的客人來轉機走過路過我們真的不希望他錯過了好那 |
transcript.whisperx[83].start |
3714.79 |
transcript.whisperx[83].end |
3736.672 |
transcript.whisperx[83].text |
當然我們今天內政部國家公園署跟我們農業部還有消保處都有提供完整的一個報告請委員們參閱現在我們進行詢答先宣告以下事項詢答時間出席委員5加2分鐘列席委員4加1分鐘第二委員發言登記於10點30分截止 |
transcript.whisperx[84].start |
3737.313 |
transcript.whisperx[84].end |
3754.114 |
transcript.whisperx[84].text |
第3個委員如果有臨時提案請於10點鐘提出以便議事人員會診第4暫定10點30分休息10分鐘第5中午原則上不休息現在我們就請登記第一位李昆哲委員發言 |
transcript.whisperx[85].start |
3761.084 |
transcript.whisperx[85].end |
3774.208 |
transcript.whisperx[85].text |
謝謝 召委 請一下陳世凱部長陳部長民進黨局何書平局長、觀光署周署長周局長、周署長機場公司楊董事長、港務公司李董事長李董 |
transcript.whisperx[86].start |
3779.537 |
transcript.whisperx[86].end |
3798.488 |
transcript.whisperx[86].text |
部長您好委員好臺灣的社會大眾對於臺灣的國際旅遊的推動其實是很失望的我們在當初預計向我們的社會大眾說明我們今年要有1000萬人次的國際觀光旅客那現在成績如何簡單說明一下 |
transcript.whisperx[87].start |
3799.028 |
transcript.whisperx[87].end |
3824.99 |
transcript.whisperx[87].text |
跟委員報告目前應該已經超過620萬已經超過620萬人那到年底的話應該是620萬應該是很慚愧的說明所以我們現在就只有這個人數而已去年也差不多是600多萬那今年的數字已經比去年好但還是不夠還是不夠但是你不能跟去年比你要跟世界各國來比世界各國的國際旅客都已經恢復快到疫情之前的水準 |
transcript.whisperx[88].start |
3825.43 |
transcript.whisperx[88].end |
3846.723 |
transcript.whisperx[88].text |
我們沒有做好啊我們到現在只有六七成那當然你們不能把相關的理由說這是過去因為地震因為颱風或是相關主要觀光國日本的問題或是人力的問題這都不是理由啊是部長因為在之前部長的更換 |
transcript.whisperx[89].start |
3847.998 |
transcript.whisperx[89].end |
3871.803 |
transcript.whisperx[89].text |
那之前的李部長也離職你來緊急的擔任這樣的一個工作你必須在觀光旅客的這個部分提出具體的一個政策出來那我認為應該要給你半年的時間我們就看成績要給你嚴格的督促相關的觀光署的業務相關的政策 |
transcript.whisperx[90].start |
3872.898 |
transcript.whisperx[90].end |
3898.564 |
transcript.whisperx[90].text |
你現在有沒有一個基本的看法來簡單說明一下報告委員我們在行銷的部分當然大家很努力但是我認為重點是在於亮點台灣有哪些亮點可以讓世界看得到那過去大家習慣講日月潭講阿里山講太魯閣我覺得這樣亮點太少而且受到天災的改變我認為這個對國際影客是有損害的所以我希望亮點要增加我們要建立真正讓國際看得到的其他的亮點 |
transcript.whisperx[91].start |
3899.244 |
transcript.whisperx[91].end |
3927.057 |
transcript.whisperx[91].text |
那這個部分我們跟觀光署跟各縣市也正在盤聚焦聚焦幾個亮點大家來讓全世界看到這是第一個第二個是行銷面向我覺得要更靈活以我的觀察我認為做大片很重要讓國際看得到很厲害的大片很重要但現在社會上或者是國際上比較流行的是用社群媒體社群媒體的行銷甚至是一些網紅的行銷年輕人的行銷方式因為就我本人 |
transcript.whisperx[92].start |
3927.937 |
transcript.whisperx[92].end |
3953.091 |
transcript.whisperx[92].text |
出國旅遊的經驗來講我都是看所謂的網路行銷的部分的介紹這個部分我覺得觀光署可以來加強行銷重要那相關的觀光資源的投注也是一個重要的方向那也必須在總預算的部分我們希望能夠能夠詳細的審查部長也必須提出詳細的一個說明另外也必須要跟行政院長 |
transcript.whisperx[93].start |
3954.311 |
transcript.whisperx[93].end |
3971.721 |
transcript.whisperx[93].text |
爭取更多的觀光資源來投注這才是一個重要的一個方向那我們是給你半年的時間我們要看你提出相關的這樣的一個政策來部長我請教一下你對明年的國際觀光的人數你心裡有沒有一個底 |
transcript.whisperx[94].start |
3973.434 |
transcript.whisperx[94].end |
3990.173 |
transcript.whisperx[94].text |
我覺得今年如果達到多少人數大概750萬到800萬我們一定是往上加嘛那我不希望過去提的數字有時候跟事實有些偏離啦我希望比較務實一點不過我覺得明年的目標應該可以達到今年沒達到的那一個目標 |
transcript.whisperx[95].start |
3995.342 |
transcript.whisperx[95].end |
4017.296 |
transcript.whisperx[95].text |
要有志氣一點部長要提出你的具體因為推動觀光旅遊就是要像你這樣一個年輕有魄力的部長來推動要更有信心你自己都講這麼沒有信心觀光旅遊業者會有信心民眾會有信心嗎今年沒有達到的一千萬我們明年最少要達到一千萬 |
transcript.whisperx[96].start |
4018.581 |
transcript.whisperx[96].end |
4021.243 |
transcript.whisperx[96].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[97].start |
4036.231 |
transcript.whisperx[97].end |
4064.696 |
transcript.whisperx[97].text |
復興航空澎湖的空難那當時也是颱風期間也因為啊事件及相關的這個問題啊雖然在合乎相關的降落的規範但是因為啊這個當時啊澎湖機場沒有這種盲降的系統這是在事後我要求之後才做的可以對準跑道可以對準相關的角度以及距離的這個盲降系統是之後才設立的 |
transcript.whisperx[98].start |
4065.296 |
transcript.whisperx[98].end |
4094.679 |
transcript.whisperx[98].text |
那當然在這次的桃園機場重降落這個事件雖然桃園機場是沒有盲降系統它是有更好的移降系統那這樣的一個狀況那當初澎湖復興空間造成嚴重的傷亡也是因為它角度太低要重新起飛的時候重飛的時候角度太低已經爬不起來所以就嚴重的撞擊那 |
transcript.whisperx[99].start |
4095.977 |
transcript.whisperx[99].end |
4116.841 |
transcript.whisperx[99].text |
我們現在來進行相關的就是說我們班機的派遣標準航空公司的派遣標準就是我們美航局所說的簽派這樣一個簽派在颱風期間當然是要依據最新的這樣一個氣象報告非常限度來進行相關的風險評估來做相關的派遣來那個局長簡單說明一下我們這樣那個標準 |
transcript.whisperx[100].start |
4120.735 |
transcript.whisperx[100].end |
4146.99 |
transcript.whisperx[100].text |
報告委員這個部分確實我們其實事前有要求航空公司要保守簽牌那從事後的一個轉將跟重飛來講確實這個保守的部分我們已經要求他檢討那三個檢討的重點就是一個就是不良天后的派遣那這個就包含這個風向還有這個風速這個速限然後再加上剛剛講的能見度不過能見度在這一次反正這一次會檢討這三個 |
transcript.whisperx[101].start |
4148.311 |
transcript.whisperx[101].end |
4175.713 |
transcript.whisperx[101].text |
那第二個還有包含所謂的重落地就剛剛講的新宇這個部長這個對於不良氣候相關的這樣一個派遣的規範必須要有更明確的規定跟標準因為它包含了飛航組員的訓練跟要求以及相關的這樣一個民航局在颱風期間這樣一個派遣標準要跟航空公司更明確的規範這個部分我們已經在要求檢討我們也會在近期開會另外一個當然 |
transcript.whisperx[102].start |
4177.653 |
transcript.whisperx[102].end |
4201.905 |
transcript.whisperx[102].text |
航空公司要不要派遣飛機有一定的規範它最重要的基礎是在於機場有沒有開放或者是關閉那機場如果是在合格的範圍之內它也會提供相關降落的服務因為有一些緊急降落必須要來做處理另外就是航空業者又不一樣的心態他也是希望在 |
transcript.whisperx[103].start |
4202.665 |
transcript.whisperx[103].end |
4210.014 |
transcript.whisperx[103].text |
相關的範圍之內盡量的不要取消班機或者是延後班機這會造成他們的一個虧損那相關的這樣的一個機場開放的關閉的標準來簡單說明一下在颱風期間 |
transcript.whisperx[104].start |
4217.211 |
transcript.whisperx[104].end |
4243.446 |
transcript.whisperx[104].text |
我想跟委員報告其實所謂的機場的一個應該是說機場的塔台它有一個測台的標準譬如說那個塔台的風向達到多少的時候我們塔台會測台那可是在這個標準之內其實塔台都會提供服務那最重要的還是回到航空公司的派遣這個派遣的部分譬如說在前兩次的颱風他們就有做到所謂的保守派遣那這一次我們從事後來看確實沒有所以我們才要逐步來檢討他們 |
transcript.whisperx[105].start |
4244.566 |
transcript.whisperx[105].end |
4259.876 |
transcript.whisperx[105].text |
所以會包含剛剛委員所講的風速風險還有包含這個這個這個超時主演可能也會有超時的情形那每一架次我們會去檢視他那檢視完以後會做一個可能會律定一個一個規範原則派錢的原則再給業者 |
transcript.whisperx[106].start |
4262.838 |
transcript.whisperx[106].end |
4284.364 |
transcript.whisperx[106].text |
這個部分我們會再來做檢討那目前的調查狀況我們看到這個是不是重落地它當然是一個嚴重的重落地因為機子已經是2.25已經超過這個機型的紅區那確定是重落地那目前飛機的狀況好像是還沒有放飛因為它程序的標準就是 |
transcript.whisperx[107].start |
4286.184 |
transcript.whisperx[107].end |
4299.206 |
transcript.whisperx[107].text |
必須針對飛機的狀況拍照傳到Airbus這種空中巴士的總公司讓他們來判斷是不是有相關的問題來做處理現在這個程序進行到怎樣 |
transcript.whisperx[108].start |
4300.083 |
transcript.whisperx[108].end |
4318.597 |
transcript.whisperx[108].text |
目前正在進行中這個部分我們會跟原廠還有包含我們調查完才會放飛這個部分會向委員講就是這個部分要經過原廠那駕駛的部分還是在停飛當中因為我們要調查它的操作的部分有沒有違反規定那如果一旦這個部分確實都違反規定的話那我們會以民航法來裁罰 |
transcript.whisperx[109].start |
4319.819 |
transcript.whisperx[109].end |
4335.095 |
transcript.whisperx[109].text |
這個必須要明確的處理那相關的我們看到這個航空公司的這個派遣的標準也必須要來做重新的一個檢視那我們民航局應該對航空業者在 |
transcript.whisperx[110].start |
4336.155 |
transcript.whisperx[110].end |
4352.501 |
transcript.whisperx[110].text |
臺風期間相關的派遣決策就是我們所說的簽派簽派的這樣的一個過程要提供明確的規範那星雲航空在6月有發生這樣重落地的事件應該更嚴格的來檢視相關的派遣流程來說明一下 |
transcript.whisperx[111].start |
4354.032 |
transcript.whisperx[111].end |
4380.892 |
transcript.whisperx[111].text |
新宇其實今年確實有發生幾次的重落地那每一次其實我們已經要求他相關組員的訓練等等這個部分我們已經都在要求那這一次在發生其實我們也會再要求尤其他的組員的訓練的部分看起來組員的訓練部分是要再加強因為如果在這個冊封標準或者是他的降落有問題的時候其實不應該有呈現像網路上這個他降落的情形 |
transcript.whisperx[112].start |
4381.252 |
transcript.whisperx[112].end |
4389.968 |
transcript.whisperx[112].text |
所以這部分我們已經...局長、部長6月已經是中落地10月31又再一次的嚴重的中落地不可以再發生了 |
transcript.whisperx[113].start |
4390.919 |
transcript.whisperx[113].end |
4416.418 |
transcript.whisperx[113].text |
他這個保守派遣要落實啦顯然新宇航空沒有落實保守派遣好 相關的跑道管理跟風險的應對也都必須要去做處理啦我們看到跑道的積水當然它摩擦力不足就會造成這樣的一個重落地或是滑行的一個風險要強化這些道面的管理跟監督確保航機的安全另外最後的時間那我請教一下 |
transcript.whisperx[114].start |
4417.605 |
transcript.whisperx[114].end |
4433.284 |
transcript.whisperx[114].text |
民航局對於高雄的航線的恢復那當然現在目前大概是疫情之前是37條那疫情之後恢復到27條那11月要再加上一條馬來西亞亞幣機場的航線那我在這邊要爭取 |
transcript.whisperx[115].start |
4437.529 |
transcript.whisperx[115].end |
4452.796 |
transcript.whisperx[115].text |
高雄到神戶的航線因為關西、大阪跟神戶是三大機場就是關西地區的三大機場那今年一到九月高雄往大阪機場的航線平均載客力都超過八成 |
transcript.whisperx[116].start |
4454.197 |
transcript.whisperx[116].end |
4480.917 |
transcript.whisperx[116].text |
神戶機場也是日本關係地方的三大機場之一那另外對於高雄跟雄本的這個航線那高雄雄本的航線高雄跟雄本本來就是姊妹市過去每週三班是一個熱門的航線那往雄本的航線今年1至9月我們台灣到雄本的這個載客率也超過八成希望高雄到雄本的航線也趕快能夠恢復來部長說明一下 |
transcript.whisperx[117].start |
4482.602 |
transcript.whisperx[117].end |
4499.262 |
transcript.whisperx[117].text |
好我們到熊本的航線目前我們正在規劃當中也在跟日本那邊去溝通他們地勤的量能的問題如果這個問題神戶呢神戶的部分目前還沒有還在爭取當中但目前還沒有比較具體的進度不過熊本的部分可能會比較具體科技 |
transcript.whisperx[118].start |
4499.522 |
transcript.whisperx[118].end |
4514.154 |
transcript.whisperx[118].text |
熊本會比較快恢復航線比較快那爭取新的神戶的部分局長跟部長要努力我們來爭取我們積極來爭取最後一個就是高雄郵輪來李協議董事長我們的高雄郵輪的母港狀況真的是 |
transcript.whisperx[119].start |
4515.472 |
transcript.whisperx[119].end |
4539.736 |
transcript.whisperx[119].text |
越來越嚴重業績越來越不好你看2023、2024、2025這個比較你看一下就知道然後我們看到這個旅客服務費在過去我們要求對旅客服務費要打折來吸引這種國際優等那旅客服務費5折的這個港口目前有基隆、高雄還有澎湖那旅客服務費它 |
transcript.whisperx[120].start |
4540.563 |
transcript.whisperx[120].end |
4552.15 |
transcript.whisperx[120].text |
五折它有一個啟動的條件就是說統一的國際郵輪累計達標後下一航次期旅客服務費五折 |
transcript.whisperx[121].start |
4553.614 |
transcript.whisperx[121].end |
4572.279 |
transcript.whisperx[121].text |
這個部分這是過去我要求的必須要有這樣的一個優惠那我們看到5折的啟動標準吉隆港、高雄港要10艘次我們跟高雄港是同一個標準澎湖港是5艘次但是我們看到這個2024年郵輪的這個扶惠優惠的啟動的狀況 |
transcript.whisperx[122].start |
4576.957 |
transcript.whisperx[122].end |
4598.965 |
transcript.whisperx[122].text |
高雄港是兩家而已10艘次佔了24%那基隆港有5家基隆港的發展不錯那有218艘次佔比63%那我具體要求調整高雄港服務費的減免機制兩階段的優惠第一階段第一艘期旅客的服務費就全面打7折 |
transcript.whisperx[123].start |
4599.645 |
transcript.whisperx[123].end |
4610.556 |
transcript.whisperx[123].text |
第二階段母港3艘4起就免旅客的服務費那掛靠港5艘起旅客服務費4整這個有沒有問題說明一下 |
transcript.whisperx[124].start |
4611.511 |
transcript.whisperx[124].end |
4630.388 |
transcript.whisperx[124].text |
跟委員報告那個其實我們去年跟今年的那個郵輪明年的有增加只是母桿稍微減少但是委員所提的那個旅客服務費我們當然全力配合董事長、部長要看大條的 |
transcript.whisperx[125].start |
4631.269 |
transcript.whisperx[125].end |
4633.151 |
transcript.whisperx[125].text |
請董事長我們再跟你來討論相關的這樣的一個標準沒有問題好 謝謝委員 |
transcript.whisperx[126].start |
4660.523 |
transcript.whisperx[126].end |
4668.027 |
transcript.whisperx[126].text |
好 謝謝李委員好 接下來有請林沛翔委員發言有請陳部長跟航空局業局長還有港務公司的李董事長來 李董事長 |
transcript.whisperx[127].start |
4687.711 |
transcript.whisperx[127].end |
4694.925 |
transcript.whisperx[127].text |
好 部長麻煩一下 全國都在關心現在在野柳擱淺的豫州好貨輪請跟我們最新的狀況 |
transcript.whisperx[128].start |
4696.278 |
transcript.whisperx[128].end |
4723.992 |
transcript.whisperx[128].text |
跟委員報告這個貨輪從擱淺的第一天我們就非常的在意也非常的緊張所以我本人也到野柳那個地方去看在颱風天的時候那從颱風過後的每一天我們其實都有派抽油船希望能夠靠過去抽油希望能靠過去抽油但是海浪只要超過2公尺大概就沒辦法那前兩天的海浪都超過了4公尺所以我們的抽油船到了現場沒辦法作業不過今天這個海象的狀況有比較好 |
transcript.whisperx[129].start |
4724.472 |
transcript.whisperx[129].end |
4739.761 |
transcript.whisperx[129].text |
所以我們的抽油船也到了現場那目前人員已經上到這個濫船濫船就是擱淺的這艘船上面去開始在作業那目前的作業是把他的這個通風口先把它堵住不要讓油漏掉因為第一步我們要處理的是 |
transcript.whisperx[130].start |
4740.701 |
transcript.whisperx[130].end |
4769.731 |
transcript.whisperx[130].text |
擔心漏油所以油的部分我們優先處理第二部分才是船體的處理那今天已經有這個作業人員已經上去這是一方面二方面我們很擔心說過幾天或者是今天下午或晚上之後會不會海象又不好所以我們同時也在進行一個方案就是我們有那個升降的平台船我們正在調我們希望升降平台船如果過來比較不會受到海象的影響所以跟委員報告我們第一時間希望能夠處理的是抽油 |
transcript.whisperx[131].start |
4770.211 |
transcript.whisperx[131].end |
4784.341 |
transcript.whisperx[131].text |
那今天還好已經上去有機會目前沒有漏油目前沒有漏油那第二件事情本來應該在發生擱淺之前12個小時之前航港局就已經發出可以讓他們離港的事情為什麼沒有離港 |
transcript.whisperx[132].start |
4785.134 |
transcript.whisperx[132].end |
4807.408 |
transcript.whisperx[132].text |
我們當時有請他們離港也有給他離港的通知跟情緒為什麼沒有離港但他沒有離港報告委員這個船他是因為康瑞颱風來襲那依照這個防颱的標準程序他必須要離港避風那時候我記得在他離港前12個小時甚至更久就可以離港為什麼沒有離港 |
transcript.whisperx[133].start |
4809.75 |
transcript.whisperx[133].end |
4823.61 |
transcript.whisperx[133].text |
這對什麼沒有立法?港務公司他為什麼不走?委員在問的意思是為什麼他不走?報告委員基隆港務分公司向你報告那個船基本上他是在28號他有提出申請那他因為他那個 |
transcript.whisperx[134].start |
4824.571 |
transcript.whisperx[134].end |
4838.057 |
transcript.whisperx[134].text |
他那個船的那個高度重心比較不穩他通常這個船是要離港去避台那28號他提出申請以後相關的程序那個符合為什麼拖了12個小時為什麼造成這次的災難 |
transcript.whisperx[135].start |
4839.903 |
transcript.whisperx[135].end |
4857.511 |
transcript.whisperx[135].text |
雖然還沒有漏油不過已經造成現在很麻煩的事情了部長這個事情我希望你們去查清楚為什麼堅持了12個小時才離港如果今天早12個小時離港就不會發生現在擱淺的事情不是嗎針對這個擱淺的事情我就想要下一個議題 |
transcript.whisperx[136].start |
4861.846 |
transcript.whisperx[136].end |
4889.229 |
transcript.whisperx[136].text |
KEDA、SOFIA還有洪聖88號甚至還有其他7艘我查到的貨輪都已經在因為颱風期間在臺灣海域擱淺那這件事情可能未來還要請外交部協助所以我認為有關船舶保險的制度應該要修正甚至這樣講港務公司也好、航港局也好全部都是比照當然如果你們老一輩都還記得都是比照PSA都是舉在新加坡港務公司新加坡港務集團設立的 |
transcript.whisperx[137].start |
4891.006 |
transcript.whisperx[137].end |
4919.629 |
transcript.whisperx[137].text |
可是我們的船舶保險制度並沒有跟新加坡並沒有達到國際的標準所以本席在這邊提出幾個事情尤其最重要的P&I所謂的船東強制責任險船東強制責任險上面來講未來所有進來台灣的船應該他們的insurance policy上面理賠條件應該要理賠全額的損失而船東致富額應該要比保險公司來得少得多 |
transcript.whisperx[138].start |
4920.47 |
transcript.whisperx[138].end |
4947.569 |
transcript.whisperx[138].text |
因為我們現在看到有太多的傳東出了事之後傳東就跑了跑了之後呢然後保險公司說我們沒有責任我們也不知道啊這個事情應該要杜絕像說我知道的狀況是一般來講傳東可能自付額可能到2萬到6萬美金可是90%都是給這個保險公司來付的這個我們不需要要求而包括客輪也需要要你的賠償金要能夠足夠 |
transcript.whisperx[139].start |
4948.59 |
transcript.whisperx[139].end |
4973.007 |
transcript.whisperx[139].text |
不然的話說真的未來還有一個船體險P&I是船東責任強制險可是只保第三方沒有找到如果說沉船的時候所以我們現在看到KETA我們現在看到SOFIA還甚至如果未來郁州號搞不好也是一樣狀況船沉在那邊我們保險公司沒有錢付啊我們不需要付這個錢啊所以我們就擱在那邊變成觀光景點多可笑 |
transcript.whisperx[140].start |
4974.741 |
transcript.whisperx[140].end |
4993.545 |
transcript.whisperx[140].text |
第二個保險公司其實也有不良保險公司保險公司應該有國際認證像QB1、像全球獎十三大聯保不然的話應該從嚴審查我們也很清楚的知道有哪些保險公司是專門在賣證明的賣進來的證明這個應該要杜絕有多少次有這個事情發生 |
transcript.whisperx[141].start |
4999.755 |
transcript.whisperx[141].end |
5020.144 |
transcript.whisperx[141].text |
不是說現在陳部長上任之後才有嗎之前好幾年就一直有這個事情發生這種事情導致說每次這些環境汙染的成本都是我們自己都是我們自己台灣政府在吸收這個要杜絕而且要落實說真的這就是外交部要幫忙因為我們不在國際組織裡面要落實針對保險公司資本額的審查所謂SMP的檢查 |
transcript.whisperx[142].start |
5021.57 |
transcript.whisperx[142].end |
5047.745 |
transcript.whisperx[142].text |
不然的話這個保險公司根本是個空頭公司然後這個保險公司賣了一個證明給我們的船船進來的發生事情的保險公司沒錢付不是只有無良船東也有無良保險公司這個事情需要去改善而且一旦發生任何災害先是保險公司要先第一時間出來理賠不是等到船東作業說我願意付錢之後保險公司才跑出來沒有這個道理 |
transcript.whisperx[143].start |
5050.218 |
transcript.whisperx[143].end |
5054.868 |
transcript.whisperx[143].text |
該付錢了造成汙染了馬上就應該處理不是等到說誰的責任多對不起 |
transcript.whisperx[144].start |
5055.974 |
transcript.whisperx[144].end |
5078.448 |
transcript.whisperx[144].text |
環境污染不等的KEDA我記得是KEDA在台南外海32個貨櫃在外面把整個海洋全部污染跟魚雷一樣那這個事情總是要有人來負責總是要有人來改善吧最後一個PSC也就是所謂我們的港口所在地的檢查人員我們知道每一個港口離開的時候我們檢查人員都會提出船上有哪些缺失之處 |
transcript.whisperx[145].start |
5080.049 |
transcript.whisperx[145].end |
5100.274 |
transcript.whisperx[145].text |
那麻煩如果下一次這個PSC檢察院必須落實船上說檢查船上缺失之處而且確認他們有沒有改善至少一計要一次不要得過且過得過且過最後如果要不配合船舶請麻煩拒絕入港不然每一次進來的時候都是倒楣是我們自己 |
transcript.whisperx[146].start |
5101.343 |
transcript.whisperx[146].end |
5123.216 |
transcript.whisperx[146].text |
部長這當然是您才上任不到半年但是這個事情與其說等到說您後面是怎麼樣再去改善到現在就開始現在就應該要落實了對要跟上國際因為這是我剛剛提的這些全部都是航港界拿新加坡港務公司的標準拿來要求我們那既然我們是國際商港我們就應該做到一樣事情部長認為嗎 |
transcript.whisperx[147].start |
5124.11 |
transcript.whisperx[147].end |
5151.259 |
transcript.whisperx[147].text |
我認為應該要這麼做那委員您剛剛所提到的保險的這個稽查的部分在兩年前已經有在落實了所以目前所發現的最近發生的這幾個案件我們跟保險公司之間的串接都還算順暢那賠償的部分也應該都做得到好這個部分跟委員 未來部長可能這邊也要請外交部幫忙因為我們不是這個正式國家但是外交部有可以有幫忙去查到說這些保險公司資本到底是我們查證的部分也會拜託外交部協助好謝謝好謝謝委員 |
transcript.whisperx[148].start |
5157.084 |
transcript.whisperx[148].end |
5160.444 |
transcript.whisperx[148].text |
謝謝林委員接下來有請林國成委員發言好謝謝主席請陳部長陳部長觀光署周署長還有我們機場公司楊董事長好楊董事長 |
transcript.whisperx[149].start |
5196.155 |
transcript.whisperx[149].end |
5211.915 |
transcript.whisperx[149].text |
好 來 部長每一個委員都認為應該要讓你半年的時間但是我在這裡特別要提醒部長一下我們也知道交通部管轄之多啦那事情之突然 |
transcript.whisperx[150].start |
5212.756 |
transcript.whisperx[150].end |
5221.979 |
transcript.whisperx[150].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[151].start |
5241.287 |
transcript.whisperx[151].end |
5258.281 |
transcript.whisperx[151].text |
說明一下從我們的觀光政策其實我坦白跟你講我從當議員到現在當立委我從頭看起來台灣觀光政策根本就是頭痛醫頭腳痛醫腳不像國外 |
transcript.whisperx[152].start |
5262.084 |
transcript.whisperx[152].end |
5264.586 |
transcript.whisperx[152].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[153].start |
5292.064 |
transcript.whisperx[153].end |
5318.882 |
transcript.whisperx[153].text |
我在想國內的促進觀光你們是有做但是國外到台灣來這個賴總統跟卓院長不是要讓人家看到台灣嗎可是你們規劃出來的政策完全沒有長期規劃的這些計畫部長你想一想1200萬人到現在600多柏定你認為問題出在哪邊 |
transcript.whisperx[154].start |
5321.691 |
transcript.whisperx[154].end |
5335.643 |
transcript.whisperx[154].text |
報告委員當然我們要講國際因素大家不會接受如果要講天災的因素大家也不會接受雖然我們真的有遇到地震也遇到好幾個颱風大家不會接受我認為台灣目前的觀光的問題是在於說我們有很多的亮點 |
transcript.whisperx[155].start |
5336.744 |
transcript.whisperx[155].end |
5352.698 |
transcript.whisperx[155].text |
但是我們永遠都凸顯固定那幾個亮點所以這一次當我們太魯閣受損之後整個國際觀光的形象也受損了所以我認為台灣還有其他的亮點要去開發這是第一個第二個我剛也有報告過就是國際行銷的部分我覺得新的時代要有新的方法 |
transcript.whisperx[156].start |
5353.358 |
transcript.whisperx[156].end |
5382.338 |
transcript.whisperx[156].text |
過去的方法當然可以繼續做不過新的方法大家要來想辦法那這個部分要落實下去做因為坦白說我認為疫情之後到現在臺灣的這個觀光的恢復的速度確實是不夠快那也確實數字上我們不夠滿意那這個部分確實要做改進但委員您剛剛有提到說長期的規劃我們到2025年之前有做一個中期規劃2030年也有做一個中長期的規劃但我認為內容或許不夠好 |
transcript.whisperx[157].start |
5382.978 |
transcript.whisperx[157].end |
5385.76 |
transcript.whisperx[157].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[158].start |
5398.45 |
transcript.whisperx[158].end |
5419.572 |
transcript.whisperx[158].text |
也不是一個觀光署就可以解決的問題當初我們期待觀光局變成觀光署的時候會有所作為我看起來除了人員增加、預算增加以外也沒有什麼作為啊所以這些東西我要提醒部長1200人問題在哪邊要找出來你講的只有講對一題 |
transcript.whisperx[159].start |
5420.495 |
transcript.whisperx[159].end |
5438.197 |
transcript.whisperx[159].text |
有沒有可能政策性的開放1200人以上是因為兩岸和平有大陸的觀光客來台灣其實我坦白跟你講阿里山也好啦日夜潭也好啊太魯閣也好我坦白講 |
transcript.whisperx[160].start |
5439.458 |
transcript.whisperx[160].end |
5457.283 |
transcript.whisperx[160].text |
世界各國他不懂什麼但是對岸就會觀光個就會把它當成是一個神奇的地方所以以前有1200萬現在沒有所以這個當然是牽涉到政策部長有時候站在台灣觀光利益的立場 |
transcript.whisperx[161].start |
5459.264 |
transcript.whisperx[161].end |
5482.183 |
transcript.whisperx[161].text |
這個兩岸的開放也是有必要我認為這一塊也非常重要我上任的第一天就已經呼籲希望對岸能夠開放他們的觀光客來到台灣那目前很可惜他們目前是對台灣是不開放的我還是希望對岸可以開放我還是希望這些東西有必要你提供意見的時候把它站在 |
transcript.whisperx[162].start |
5483.505 |
transcript.whisperx[162].end |
5502.402 |
transcript.whisperx[162].text |
營利的立場跟宣導的立場只要政策一開放1200人就不會有立委一直在罵你說你們達不到啦所以這個提醒給部長去做參考也都不要在那邊拐彎抹角問題這個也可以去納入另外 |
transcript.whisperx[163].start |
5503.183 |
transcript.whisperx[163].end |
5517.736 |
transcript.whisperx[163].text |
我們就要來討論一下高雄李映中心也就是剛才所討論的油潤不髒的問題為什麼為什麼來那個那個李李董事長為什麼會這樣 |
transcript.whisperx[164].start |
5521.196 |
transcript.whisperx[164].end |
5549.803 |
transcript.whisperx[164].text |
跟那個不要講太多理由你找出理由就好了現在就是為什麼主要是郵輪不來就是那個在COVID-19的時候我們在不要講那個COVID-19啦現在香港也不影響來啦我跟你講啦董事長你講這個我都知道啦這個也不是你一個可以決定為什麼每況愈下郵輪不來高雄一直去香港 |
transcript.whisperx[165].start |
5550.603 |
transcript.whisperx[165].end |
5577.898 |
transcript.whisperx[165].text |
我坦白講我們這些要去檢討所以我時間的關係我也不要去問你你們很認真做我也知道但是每況一下是事實不要把高雄禮運中心阿花了那麼多錢蓋了那麼好的東西但是沒有去發揮我坦白跟你講這是非常冤枉政府民脂民膏這個部分欸 現在就是高雄內地齁 |
transcript.whisperx[166].start |
5579.739 |
transcript.whisperx[166].end |
5601.184 |
transcript.whisperx[166].text |
高雄裏面的部長我告訴你成為豪華文職館就是我們的高雄理應中心這個我想我們也不要變事實就是這樣那我希望這個部分可能部長要督促然後我們這個董事長這裡可能也要去了解一下來 |
transcript.whisperx[167].start |
5602.344 |
transcript.whisperx[167].end |
5618.983 |
transcript.whisperx[167].text |
那其實真正的問題我必須要提醒給董事長做參考為什麼大家都要到香港去不到高雄來為什麼這個你們去找答案真的要了解我給你提供意見好不好好那個另外一個啊就是來楊董事長 |
transcript.whisperx[168].start |
5624.622 |
transcript.whisperx[168].end |
5639.499 |
transcript.whisperx[168].text |
機場為什麼最近都會出包像上次那個飛機起降發生這個問題你一再我特別帶人去做考察我們也不指責也不責罵希望你們以後不要再換來 |
transcript.whisperx[169].start |
5642.829 |
transcript.whisperx[169].end |
5660.286 |
transcript.whisperx[169].text |
楊總來第一個油罐車怎麼會去撞飛機第二個民眾怎麼會爬到你們的通道去把他墜落在大廳另外一個刑女處為什麼會失火你可以不可以簡單告訴人家為什麼會這樣 |
transcript.whisperx[170].start |
5662.012 |
transcript.whisperx[170].end |
5683.76 |
transcript.whisperx[170].text |
第一個是在空車的部分那個是中油公司油罐車在地勤作業的時候他們的駕駛不小心去撞到了飛機的尾翼那這個案子是目前已經做了處理就是這個駕駛他必須要再重新他的駕照等等那些都已經做暫時的取消我們會去要求他們改進那第二個跟第三個呢事實上是機場公司本身管理上有缺口 |
transcript.whisperx[171].start |
5685.32 |
transcript.whisperx[171].end |
5707.552 |
transcript.whisperx[171].text |
這點我們都承認那民眾跑上通道的部分是因為我們在夜間那是在晚上3點多的時候我們夜間的維修工作是在半夜進行進行完以後工班要出來的時候這個民眾趁他交班進去了出來的時候他鑽進去了那我們的工作夥伴沒有發現那這些外包的這個廠商我們也特別的要求目前改善措施都已經做了 |
transcript.whisperx[172].start |
5708.612 |
transcript.whisperx[172].end |
5715.597 |
transcript.whisperx[172].text |
這是外人喔 不是外包工人喔這個是外人喔 這代表什麼管理不嚴謹 所有人都要負責哪有一個機場可以跑進去 隨便可以墜樓又墜在什麼 那個大廳欸不管是那個 那個是很殘忍的事這是我跟你講 這個董事長 真的 這個要加緊嚴謹博丁 你針對這個你有什麼看法 |
transcript.whisperx[173].start |
5736.83 |
transcript.whisperx[173].end |
5754.39 |
transcript.whisperx[173].text |
這個部分我覺得機場的管理裡面確實是有問題才會出現這樣的狀況不是只有有問題是非常有問題是是是你知道非常有問題那楊董剛剛的說法我認為也有看到問題這個部分我們就是大膽下去改革該把問題補起來就把它補起來 |
transcript.whisperx[174].start |
5756.072 |
transcript.whisperx[174].end |
5783.712 |
transcript.whisperx[174].text |
好了我不希望這樣因為我為什麼這麼氣概因為上一次發生這個事情我們帶所有的委員去考察你們一再保證不會因為有小問題以後就有大問題啊所以這個部長你要督促一下來最後一個主席借給我一分鐘現在世界各國發生到一個問題就是電動行李車 |
transcript.whisperx[175].start |
5785.031 |
transcript.whisperx[175].end |
5802.923 |
transcript.whisperx[175].text |
因為它電動行李車它是有鋰電池它才會動電動行李車這個電動行李車說實在話是有危險的但是它是可以在機場裡面電動一按它就行李車 |
transcript.whisperx[176].start |
5804.338 |
transcript.whisperx[176].end |
5819.231 |
transcript.whisperx[176].text |
行李車他可以坐上去他不要走路他就可以用按的可是這個一存在的問題是鋁電池他因為很大所以行李車一上去是有危險的第二個在我們的 |
transcript.whisperx[177].start |
5819.932 |
transcript.whisperx[177].end |
5833.665 |
transcript.whisperx[177].text |
人行也就是我們機場裡面他一按他行李車他就可以去走路這些東西好世界各國現在有些國家發現問題都已經開始管理了請問部長 |
transcript.whisperx[178].start |
5835.386 |
transcript.whisperx[178].end |
5854.03 |
transcript.whisperx[178].text |
這個我們什麼時候倫敦、香港、日本、大阪、日本、名古屋現在都禁止用這些東西請問一下這是一個新問題喔博定不要當成發生事情以後你們再來管理所以本席啊特別提出這個問題讓你們去做思考 |
transcript.whisperx[179].start |
5857.031 |
transcript.whisperx[179].end |
5877.162 |
transcript.whisperx[179].text |
要如何管理如何去做規範這些東西非常重要這只要飛機一上去鋰電池的問題如果燒起來飛機那是不堪設想啊所以管理就包括安全旅客的安全跟老百姓的安全是非常重要的所以部長這個 |
transcript.whisperx[180].start |
5878.263 |
transcript.whisperx[180].end |
5901.55 |
transcript.whisperx[180].text |
我提醒你你們如何做了以後希望私底下給我一個你們如何因應的給我一個還給我們委員會一個報告好不好好這個以上這些我要特別勉勵楊董事長現在的管理真的非常重要還有部長你要督促一下好不好好謝謝謝謝委員好謝謝林委員接下來有請何清淳委員發言 |
transcript.whisperx[181].start |
5915.74 |
transcript.whisperx[181].end |
5920.93 |
transcript.whisperx[181].text |
謝謝各位 我們請陳部長還有周署長、觀光署周署長 |
transcript.whisperx[182].start |
5925.984 |
transcript.whisperx[182].end |
5947.286 |
transcript.whisperx[182].text |
部長好今天短短的時間但是我三個問題所以我們就趕快請你要盡速的來回應我來幫忙我第一個霧峰納入33國家風景處那我們從110年提案在這個過程我跟林靜儀委員還有其他在地的委員議員大家一起在 |
transcript.whisperx[183].start |
5948.007 |
transcript.whisperx[183].end |
5952.452 |
transcript.whisperx[183].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[184].start |
5968.343 |
transcript.whisperx[184].end |
5982.173 |
transcript.whisperx[184].text |
報告委員目前那個政委那邊也已經簽合那目前是在國發會那這個部分我們回去催促我們希望在今年今年底之前看可不可以趕快來公布這件事我希望是這個月這個月好 |
transcript.whisperx[185].start |
5983.434 |
transcript.whisperx[185].end |
5994.242 |
transcript.whisperx[185].text |
現在11月了我們來努力這個月所以國發會那邊行政院那邊我也會再幫忙也希望部長這邊能夠多積極然後一旦到我們交通部觀光署也請署長馬上好不好這個我們一定加速沒有問題對因為物風這個核心群納入我覺得是對我們屯區的這個觀光是有帶動的效果而且我們的民主議政委員區也在那裡物風林家花園、光復新村這個就如同剛剛 |
transcript.whisperx[186].start |
6011.855 |
transcript.whisperx[186].end |
6032.536 |
transcript.whisperx[186].text |
部長再回答其他委員臺中有很多很多的亮點是可以打動國際遊客進來台灣觀光的那這個必須要有什麼觀光品牌那我們悟風是一個觀光品牌是一個值得政府大量資源投入來支持的一個品牌屯區需要你支持好不好這個我們一定會納入 |
transcript.whisperx[187].start |
6032.796 |
transcript.whisperx[187].end |
6060.649 |
transcript.whisperx[187].text |
對所以呢那接下來就有兩個問題要拜託部長喔第一個因為呢如果改在11月我們可以公告的話那明年度的預算我們來不及編列第一個那我們啊如果要即刻的啟動的話一年大概2000萬的管理委員的費用是不是可以請部長支持那第二個專案的籌設霧峰遊客中心那我們的可行性研究是不是也可以先上路 |
transcript.whisperx[188].start |
6061.189 |
transcript.whisperx[188].end |
6077.041 |
transcript.whisperx[188].text |
好 這個部分我們可以先來走沒有問題我們未來會有一個站然後四個同仁會在那個地方那這個部分我們的員額已經先想辦法空出來了那委員在講的這個預算我們當然也會支持啦但是我們讓觀光署這邊來調配來調配好 那是不是可以同步 |
transcript.whisperx[189].start |
6077.481 |
transcript.whisperx[189].end |
6096.409 |
transcript.whisperx[189].text |
在現在準備公告之前同步來趕快把前置作業先做好我們年度預算如果有過的話年度預算過了我們就馬上把前置作業放上去我們請所有在野的委員支持這是為了台中地方也為了中部地區大家共同來支持總預算那請部長也支持署長一定要承諾做到第二個問題我們來署長請回我們請高鐵 |
transcript.whisperx[190].start |
6102.554 |
transcript.whisperx[190].end |
6117.19 |
transcript.whisperx[190].text |
高鐵我們今天在談觀光談觀光不管是國際旅客來台灣或者是國人、國旅的觀光這個軌道運輸是最重要的大眾運輸系統那除了台鐵就是高鐵 |
transcript.whisperx[191].start |
6117.891 |
transcript.whisperx[191].end |
6130.908 |
transcript.whisperx[191].text |
高鐵我現在看到不管是我們這個產業的商務課或者是國際的觀光課甚至我們自己國人的這個使用率越來越高尤其我上次跟董事長總經理都提過我們的高鐵的台中 |
transcript.whisperx[192].start |
6134.712 |
transcript.whisperx[192].end |
6161.103 |
transcript.whisperx[192].text |
這個運量是非常大的我這樣每天上上下下我看到我們的行李放置的區域真的嚴重不足過去高鐵跟我說2021年我們已經有處理過一次有增設了這個行李放置區從45個增加到61個雖然我畫了一個問號我存疑現在高鐵的每一個列車有到61個行李存放的空間嗎 |
transcript.whisperx[193].start |
6162.935 |
transcript.whisperx[193].end |
6180.744 |
transcript.whisperx[193].text |
就我個人看大家可以上高鐵列車看看也可以問國人旅客看看目前一列的高鐵列車你說它的行李放置區可以放到61個不可能啦我不知道你這是怎麼算的啦我也不知道2021那時候是如何改裝的 |
transcript.whisperx[194].start |
6182.164 |
transcript.whisperx[194].end |
6204.624 |
transcript.whisperx[194].text |
現在就是嚴重的不足嘛不管是大行李我還看到什麼嬰幼兒車這個非常不友善我們年輕家庭要搭高鐵嬰幼兒車第一個沒有空間放那行人的通道被擋那所以旅客的權也受到影響寵物車也沒有地方放欸到目前為止還是沒有辦法解決啊來 |
transcript.whisperx[195].start |
6206.065 |
transcript.whisperx[195].end |
6218.17 |
transcript.whisperx[195].text |
報告委員我們上個禮拜那個陳彥博次長有特別為了這件事召開一次協調的會議那台鐵也已經有提出來一個具體高鐵也有提出來一個具體的這個改變的方案是不是我請總經理來 |
transcript.whisperx[196].start |
6220.458 |
transcript.whisperx[196].end |
6239.934 |
transcript.whisperx[196].text |
我先跟委員好謝謝您的指導那我先回答你剛才那個部長講的那個方案我們現在是最現有的車輛的部分的話我們打算在有15區一個列車裡面有15區做成兩層那每一層的話大概可以增加三個28吋的這個行李廂所以就多增45個換句話說從現在的61個就會增加15個加大概70 |
transcript.whisperx[197].start |
6245.939 |
transcript.whisperx[197].end |
6270.065 |
transcript.whisperx[197].text |
董事長我跟你講現在沒有61個啦你再回去算我會跟著你來算現在的列車哪裡可以放到61個的大型行李我跟委員報告齁這個61個是這樣啦我們原來就有45個那後來我們把這個一組車12節裡面有4節齁車廂我們拆掉椅子然後放成一個多一個行李區一個行李區我們可以放4個 |
transcript.whisperx[198].start |
6271.185 |
transcript.whisperx[198].end |
6276.606 |
transcript.whisperx[198].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[199].start |
6290.47 |
transcript.whisperx[199].end |
6308.419 |
transcript.whisperx[199].text |
你完全沒有友善空間可以讓它放置所以我建議大家互相參考因為我們是找到問題要解決問題嘛我們國內外很多的列車要配置雙層層架那甚至立體化而且重新盤點你們車廂內的空間有一些閒置空間沒你使用的你可以改裝嘛 |
transcript.whisperx[200].start |
6318.34 |
transcript.whisperx[200].end |
6337.806 |
transcript.whisperx[200].text |
對不對我自己時常搭乘 裡面有電話亭我也覺得電話亭對嘛 你跟部長自己就講啦電話亭是受自殺幹什麼你這個照片所提醒的齁剛好現在要改善的方案也是讓它立體化啦變成兩層三層這樣可以使用是是是是委員報告我們就是朝這個方向在做那能夠應用的空間我們盡量用 |
transcript.whisperx[201].start |
6338.086 |
transcript.whisperx[201].end |
6343.009 |
transcript.whisperx[201].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[202].start |
6357.518 |
transcript.whisperx[202].end |
6384.154 |
transcript.whisperx[202].text |
拉行李下來還要好拉不然你把高處拉行李有些女孩子女性甚至媽媽她是勾不到的或者是她是力氣不夠大的所以這個我覺得都要從人為本的思考點去思考如何讓這個行李的一個空間立體化、安全、好使用我覺得還包括當年你講的列車的結構安全問題嘛所以來最後那改善的期程呢 |
transcript.whisperx[203].start |
6385.748 |
transcript.whisperx[203].end |
6389.309 |
transcript.whisperx[203].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[204].start |
6404.235 |
transcript.whisperx[204].end |
6425.334 |
transcript.whisperx[204].text |
做完的期程給我一份書面報告好不好那你們未來2026要交車陸續交車的新世代列車一定要先把這個考量行李空間的考量要納入你的設計好不好還來得及做的要做好不好已經納入這個規劃設計而且呢這個新的行李廂的容量比現在多一倍以上 |
transcript.whisperx[205].start |
6426.175 |
transcript.whisperx[205].end |
6446.587 |
transcript.whisperx[205].text |
一倍以上你還要預估喔旅客人數像剛剛我們部長承諾的喔未來的國際旅客要達到一千萬次以上喔你要先預估這個人流啊那個量你要量體要能夠預估啊你不要到時候兩年後我又來問你說阿為什麼行李又放不下了 |
transcript.whisperx[206].start |
6447.287 |
transcript.whisperx[206].end |
6473.651 |
transcript.whisperx[206].text |
好不好最後30秒我們部長來自台中兩件事台中的空港我們需要開發更多的國際航線東北亞、東南亞都是重點部長你承諾過的民航局局長也希望跟各國內或是非國應該說國內的航空公司跟國際非國籍的航空公司大家一起來努力嘛對不對國籍跟外國籍一起努力 |
transcript.whisperx[207].start |
6474.191 |
transcript.whisperx[207].end |
6493.176 |
transcript.whisperx[207].text |
是我覺得臺中機場空港真的需要部長大力支持那接著就是海港臺中的海港郵輪我們之前都掛鈴終於今年年底聽說要破蛋有一艘郵輪要進來我們希望交通部主動跟地方政府好好的把這一個 |
transcript.whisperx[208].start |
6493.976 |
transcript.whisperx[208].end |
6515.369 |
transcript.whisperx[208].text |
第一個臺中港的郵輪12月18號的這一艘郵輪靠港所有的該準備的項目所有該開發的這個地方的旅遊套裝行程所有該配合的我們是把它準備好我們希望未來能夠有更多的郵輪可以來停靠臺中港好不好好 政府會跟地方政府來溝通好 再拜託我們主動謝謝謝謝 謝謝委員好 謝謝何委員 |
transcript.whisperx[209].start |
6523.993 |
transcript.whisperx[209].end |
6531.075 |
transcript.whisperx[209].text |
好那待會到我本人魯明哲發言完畢之後休息10分鐘接下來有請游皓委員發言有請部長好陳部長游皓委員失聲到今天第一次發言了好好好好跟他回答 |
transcript.whisperx[210].start |
6553.109 |
transcript.whisperx[210].end |
6572.9 |
transcript.whisperx[210].text |
所以積了很多的問題想要請教但是都是很客觀的但是還是有一個問題要直接先請教一下部長現在在這個省道的部分區在風災之後很多地方在進行維修那維護甚至改善重建那我們看到 |
transcript.whisperx[211].start |
6574.02 |
transcript.whisperx[211].end |
6602.172 |
transcript.whisperx[211].text |
這個地方的縣市政府他還縣市到鄉鎮市公署他們在許多的這個道路修繕的經費其實確實是地方政府是不足的那我也直接請教這部長你以前也當過就是台中市議員也從基層出身那25年未修的這個採劃法你覺得是不是應該也要適時做一個修正那也讓這個不管是中央的省道的修繕包括地方的這些道路修繕也可以有一個合理的經費可以讓地方政府來運用 |
transcript.whisperx[212].start |
6603.326 |
transcript.whisperx[212].end |
6622.039 |
transcript.whisperx[212].text |
我所知道這25年來其實財化法沒有在修正的狀況底下中央跟地方的合作的狀況是還是不錯今年包括去年中央對於地方的補助的額度也一直在增加一直逐步在增加確實我們也一直尤其今年時常遇到一些風災的問題 |
transcript.whisperx[213].start |
6623.32 |
transcript.whisperx[213].end |
6644.818 |
transcript.whisperx[213].text |
那我所知道就是說即便不是中央管的這個道路有狀況了中央該補助的部分其實工程會那邊也都會協助其實我還是跟部長提一下當然現在你在中央部會那過去也從基層出生那在當市議員期間我們都知道縣市議員我們在看縣市政府的預算確實不足 |
transcript.whisperx[214].start |
6645.518 |
transcript.whisperx[214].end |
6670.491 |
transcript.whisperx[214].text |
那所以說才化法的修正現在在財政委員會在審查那所以我也希望說不僅是跟部長您這邊就是說明也希望說在中央部會的話大家也應該一起來支持這25年未修正的才化法那讓地方的政府他也都能夠有充足的經費來彈性的及時來修正許多的一個措施包括道路那這個問題是比較政治議題我就直接接著 |
transcript.whisperx[215].start |
6671.671 |
transcript.whisperx[215].end |
6693.917 |
transcript.whisperx[215].text |
這個我們在看今天的剛才林國成委員他講到一半就是在這個電動的這個行李箱那目前來講有沒有相關的一個規範在電動行李箱還是做這個跟環境部或是相關的單位在這個鋰電池是不是有這種火災或是爆的那個風險那有沒有相關的規範或指引 |
transcript.whisperx[216].start |
6695.077 |
transcript.whisperx[216].end |
6718.511 |
transcript.whisperx[216].text |
目前在機場的部分我剛才問起來應該是現在是由航空公司自己來規定因為那是首提行李箱不關係到拖運沒有拖運的問題那首提的部分就是看這個航空公司他們怎麼規範不過我剛有跟總經理在提到就是說我認為機場也應該要針對這件事要做規範因為這是一個新的東西啦過去沒看過所以過去或許沒有討論過規範的問題 |
transcript.whisperx[217].start |
6720.472 |
transcript.whisperx[217].end |
6739.465 |
transcript.whisperx[217].text |
好那剛剛林國成委員的提醒包含您現在的提醒我也認為那個離電池如果滿大顆會不會有危險性這個部分我認為機場應該要有一些規範那本期建議其實交通部應該直接可以來做一個主導甚至包括其他部會的部分也做一個通盤的討論因為其實它這個部分不只是在機場 |
transcript.whisperx[218].start |
6740.586 |
transcript.whisperx[218].end |
6767.202 |
transcript.whisperx[218].text |
所以剛才所提到高鐵的話其實也有看到有人在使用那所以說他這個行李箱放置的部分不管高鐵也好、台鐵也好甚至在飛機、航空機上那都是有可能使用的所以他這個安全性竟然是新的東西過去沒有在評估所以就是交通部應該是找其他的部會做一個通盤討論那在任何的一個運輸的工具上都能夠適用的一個規範或是指引那這樣子對於民眾來講應該是更為的安全好 |
transcript.whisperx[219].start |
6768.903 |
transcript.whisperx[219].end |
6793.023 |
transcript.whisperx[219].text |
這個我們來討論我們來討論好 謝謝那接著的話這個貨櫃車的議題在國道的過棒10月1號有一個新制度要上路那在這CMS的這個部分經過地棒站那有顯示就不用進站那如果沒有顯示或未依規定進站過棒會被視為逃棒還有這個就將會面臨到9萬的一個重罰 |
transcript.whisperx[220].start |
6795.325 |
transcript.whisperx[220].end |
6822.153 |
transcript.whisperx[220].text |
那這個在所謂的許多的貨運業者或者是相關的這個貨運車的司機啊這個在形容就像是內政部或交通部送給這個他們的一個過年大禮包他也就是要罰九萬元那甚至說一上車從南到北甚至還要十連抽那我想要請教一下部長那目前的這44處的一個地棒站動態的地棒系統那它設置原則為如何 |
transcript.whisperx[221].start |
6825.854 |
transcript.whisperx[221].end |
6849.081 |
transcript.whisperx[221].text |
目前為了減少非超載的車輛能夠競速的通行所以我們有設動態地棒因為動態地棒設置的標準比較高所以我們一年大概可以增加1到3處左右所以我們從108年到現在有設10處的地棒站明年也預計要再增加3個所以現在總共是多少處現在有10個所以目標會設到多少處 |
transcript.whisperx[222].start |
6851.022 |
transcript.whisperx[222].end |
6864.566 |
transcript.whisperx[222].text |
我們原則上是西部的那個國一國三都希望都把它做那目前來講的話那這個地棒站的動態地棒系統他在測量的部分他是不是在這個貨運他所裝載這20尺的貨櫃原本20.5噸就變得必須要少2.5噸變為18噸跟委員報告齁 |
transcript.whisperx[223].start |
6872.429 |
transcript.whisperx[223].end |
6894.167 |
transcript.whisperx[223].text |
那我們現在來講是說在動態地盤的部分我們是抓車因為我們現在走看到就是說貨櫃車大型車的部分它的造勢率是小車的4到5倍左右那所以我們在針對它的部分我們抓車頭35噸的車子它的煞車力道應該只控制到35噸那現在我們看車道的部分說甚至有超載30%以上的一個貨櫃車 |
transcript.whisperx[224].start |
6895.268 |
transcript.whisperx[224].end |
6900.077 |
transcript.whisperx[224].text |
所以我們是針對就是說他的貨櫃車的部分先針對那個超載嚴重的部分這個我就直接提了就是說不管是局長還是部長在今天來講在 |
transcript.whisperx[225].start |
6908.189 |
transcript.whisperx[225].end |
6926.937 |
transcript.whisperx[225].text |
這一個動態的地棒 任何的科技的一個方式來提高所謂的交通的安全 這個大家全民都能夠接受民意代表也都會接受你所剛剛提的20尺的貨櫃的部分目前我們是沒有看到後面的那個其實到最後他們會所以20尺的部分假如說針對他車頭的部分的話他應該是不會操縱的這個原則上操縱不操縱他原則上他20.5噸的部分他現在目前是會減為18 |
transcript.whisperx[226].start |
6934.641 |
transcript.whisperx[226].end |
6953.497 |
transcript.whisperx[226].text |
這個是跟對動態系統的這個部分來走跟對動態地方沒有關係但是我直接提了就是說在這一個部分的降的這個空間那他其實當初的他希望能夠去降是因為大貨車的這個事故但目前來講的話警政署提供的資料 |
transcript.whisperx[227].start |
6954.258 |
transcript.whisperx[227].end |
6981.499 |
transcript.whisperx[227].text |
其實許多的交通事故它是源於這個就是疲勞駕駛第一名那甚至說駕駛的時候不當分心包括使用手機等等那在目前新上路的這個法規啊那還是要幫這些客運司機來反映如果說今天超載的東西那這個該開罰就該開罰那不管是動態過棒的部分以及說要下修他們20.5到18噸的這個部分那其實事情還是要有一個合理性 |
transcript.whisperx[228].start |
6982.159 |
transcript.whisperx[228].end |
7001.901 |
transcript.whisperx[228].text |
那如果說今天來講是因為疲勞駕駛或者是駕車時間分審但是卻直接用這樣子來去降低他本身可以去載的戶的提高他們所謂的這個營業成本那回頭來講貨運業者所在的是百工百業在的是五金各行各業的用品 |
transcript.whisperx[229].start |
7002.421 |
transcript.whisperx[229].end |
7020.798 |
transcript.whisperx[229].text |
那所以他所衍生出來的是物價上漲所以本席還是在這裡提出在這個部分的調降其實業者相關的意見跟時機相關的意見其實大家都知道那我們所擔心的還是在於這樣子的運輸成本的提升會造成的是整體物價提升所以還是要有一個合理性在好我們會再檢討謝謝委員 |
transcript.whisperx[230].start |
7044.397 |
transcript.whisperx[230].end |
7053.961 |
transcript.whisperx[230].text |
請魯明哲委員發言好 謝謝主席有請我們交通部陳世凱部長有請部長觀光署周署長請署長好 謝謝兩位謝謝委員我想觀光立國 |
transcript.whisperx[231].start |
7067.054 |
transcript.whisperx[231].end |
7089.345 |
transcript.whisperx[231].text |
是很多人的一個期待因為臺灣四面環海相關的一些資源我們希望透過觀光來帶給我們的國民有更多的一個經濟各方面的一個收入那我們也看到我們賴總統競選的政策上面特別寫觀光立國世界臺灣那時候我們知道我們部長也是重要的應該是發言人 |
transcript.whisperx[232].start |
7090.445 |
transcript.whisperx[232].end |
7116.491 |
transcript.whisperx[232].text |
那在這中間的當年的一個願景現在當選了520也上任了然後這個發言人也變成我們交通部部長主管觀光署的一個相關的一個督導這樣的一個業務那當然當時兩個目標嘛2030年希望讓我們觀光產業可能包括國旅啦能夠希望超過兆元的產業那去年600萬人有達到喔 有達到喔 |
transcript.whisperx[233].start |
7117.492 |
transcript.whisperx[233].end |
7129.986 |
transcript.whisperx[233].text |
在不遠的將來我以為他講不遠的將來是今年照這樣看還有一點距離能夠突破一千萬在這種情況之下我想這是不光是賴總統的一個期待 |
transcript.whisperx[234].start |
7132.528 |
transcript.whisperx[234].end |
7156.425 |
transcript.whisperx[234].text |
那也是我們這個國民的一個期待甚至觀光產業鏈上面很多的業界他已經苦等了他的等待那我在想齁這個值跟量都很重要到底有多少的旅客不管是國旅外來的一個旅客他的量要提升我們希望量增加的時候他的值能夠來這邊消費的也能夠提升 |
transcript.whisperx[235].start |
7158.243 |
transcript.whisperx[235].end |
7182.003 |
transcript.whisperx[235].text |
那我在想前一陣子聽到我們的部長說我們原本去年立的今年的外來的觀光旅客要有1200萬人次然後在今年的4月1號前部長調到了1000萬那我在10月份你又調到了750萬那整體跟1200萬可以講 |
transcript.whisperx[236].start |
7186.382 |
transcript.whisperx[236].end |
7208.272 |
transcript.whisperx[236].text |
我目標還是不變我在委員會其實講了很多次不是750萬不是我說的是務實一定能達到的是750萬但是前線的同仁還在努力當中我作為部長不可以把目標往下修所以目標還是1000萬所以現在目標還是1000萬還是1000萬但是也就是跟明年你剛剛說的目標明年目標還是1000萬但是結果不太確定 |
transcript.whisperx[237].start |
7208.872 |
transcript.whisperx[237].end |
7236.446 |
transcript.whisperx[237].text |
如果今年達到一千萬我明年一定會再往上拉但今年如果沒有達到一千萬你覺得今年務實便大概最多大概750萬上下嘛按照你的說法好我們再看現在的一個問題因為剛剛看到我們部長簡報那觀光署長報告的時間比較久那我幫你們做一個結論現在觀光的一個整個一個臺灣觀光產業的一個情況基本上我來簡單形容一下好了就是 |
transcript.whisperx[238].start |
7237.586 |
transcript.whisperx[238].end |
7245.797 |
transcript.whisperx[238].text |
不滿意但是應該國人就是現狀應該可以接受不滿意但可以接受第二個呢那有困難 |
transcript.whisperx[239].start |
7247.301 |
transcript.whisperx[239].end |
7273.814 |
transcript.whisperx[239].text |
大部分八成是其他人的一直跌啊其他的因素從疫情開始大概有一兩成一兩成也有自己的因素可是我是覺得尤其我們的署長因為我們觀光署當時成立的他的用心他的目的大家的期待到底是什麼我覺得你要不定的時間點你都要反瞻從零開始那我們來看一下 |
transcript.whisperx[240].start |
7274.912 |
transcript.whisperx[240].end |
7284.922 |
transcript.whisperx[240].text |
我們的觀光產業到底發生了什麼樣的一個情況從數字上來看這大家都說了嘛在疫情前我們拿了3年106到108年平均都有1000萬大概接近1200萬的一個從 |
transcript.whisperx[241].start |
7291.698 |
transcript.whisperx[241].end |
7298.705 |
transcript.whisperx[241].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[242].start |
7316.041 |
transcript.whisperx[242].end |
7341.101 |
transcript.whisperx[242].text |
我是覺得來臺的人數並沒有跟世界差太多但到今年其實很意外今年對於很多的一個國家是一個大復甦觀光大跳躍復甦的一個情況那這個部分我先問一下署長好不好當然我這邊是講1到8月啦也許最後那個限條會到750萬最後會小的上揚但就現況來講497萬 |
transcript.whisperx[243].start |
7343.857 |
transcript.whisperx[243].end |
7347.772 |
transcript.whisperx[243].text |
那署長你也是這個觀光臺灣觀光協會你是在那裡什麼職務啊 |
transcript.whisperx[244].start |
7350.745 |
transcript.whisperx[244].end |
7374.12 |
transcript.whisperx[244].text |
鐵道觀光台灣觀光協會之前是我們葉菊仁會長現在是簡會長您在裡面擔當什麼職務因為我們都有一些等於是指導你是民意董事啦續聘民意董事啦那很多的補助啊協助的經費都是觀光署的一個預算啦這我們都知道啦沒有問題大家一起做那可是 |
transcript.whisperx[245].start |
7375.307 |
transcript.whisperx[245].end |
7401.973 |
transcript.whisperx[245].text |
到底發生什麼事因為你們整個報告就在想我們怎麼樣不滿意好像還是可以接受你要跟世界比到底怎麼樣那就請教一下在台灣官方協會這個準政府的一個社團好不好辦政府的一個社團裡面你有沒有看到他現在他的網頁第一頁國際趨勢是什麼在今年度第一季全世界的旅遊他說恢復到大概97%全世界 |
transcript.whisperx[246].start |
7404.193 |
transcript.whisperx[246].end |
7430.166 |
transcript.whisperx[246].text |
他預估2024年預估全世界大概成長2%我覺得我不是要所以你現在覺得他這個數字是亂講的是要趕快拿掉在這個我們現在是檢疫院董事長在他的網頁你覺得他說法是胡說八道還是講真的跟委員報告因為我沒有看那個實際的數字不過看起來聽起來是應該是原來的2030年的百筆書 |
transcript.whisperx[247].start |
7432.847 |
transcript.whisperx[247].end |
7444.275 |
transcript.whisperx[247].text |
政策白皮書的一些分析那其實跟委員報告這張圖表裡面其實也要特別報告一下0403的這個地震對我們的衝擊真的很大 |
transcript.whisperx[248].start |
7445.913 |
transcript.whisperx[248].end |
7472.764 |
transcript.whisperx[248].text |
原來還是第一季的時候我們還信心滿滿不過在4月的時候我們就全球都有一個安心宣言其實我們覺得因為大家分不清楚花蓮跟台灣是等號的所以我們就必須要講說除了花蓮以外其他其實還是很安心可以旅遊所以也必須要我們現在確實像部長講的我們第四季是一個蠻重要的我們還是往前衝 |
transcript.whisperx[249].start |
7475.367 |
transcript.whisperx[249].end |
7488.884 |
transcript.whisperx[249].text |
這個是直接的一個數字大家都知道的那當然我們覺得有幾個指標我覺得你們自己要真的要去注意這個問題的一個有沒有如果當有一些事情習慣習慣好像沒事產生結構性變化的時候是回不來的 |
transcript.whisperx[250].start |
7489.545 |
transcript.whisperx[250].end |
7511.404 |
transcript.whisperx[250].text |
你準備好也回不來的我們看到在疫情前的三年的平均一年可能不準三年的平均當然都是我們出國的人數會比較人次比較多然後從國外來台灣旅客的旅客人比較少在疫情前三年的平均大概出國人多1.47倍 |
transcript.whisperx[251].start |
7512.765 |
transcript.whisperx[251].end |
7521.929 |
transcript.whisperx[251].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[252].start |
7539.978 |
transcript.whisperx[252].end |
7552.463 |
transcript.whisperx[252].text |
部長,你清楚嗎?是,這個我清楚啦我覺得NHK一直在擴大那是一個非常對本國來講我們的觀光業來講是一個很不健康的一個趨勢那這個部分我們當然要努力來改變 |
transcript.whisperx[253].start |
7553.584 |
transcript.whisperx[253].end |
7578.521 |
transcript.whisperx[253].text |
其實這個東西蠻危險的第一個是說我們都講說互相尊重平等我有來你有去大家互相努力大家一起努力日本、韓國或者美國、歐洲大家來來去去盡量透過一些協調有同樣的一個資源在觀光的產業裡面不要出現太多的一個逆差可是因為我發覺這樣的一個第一個逆差 |
transcript.whisperx[254].start |
7579.361 |
transcript.whisperx[254].end |
7589.551 |
transcript.whisperx[254].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[255].start |
7604.91 |
transcript.whisperx[255].end |
7622.15 |
transcript.whisperx[255].text |
現在已經很多的包括遊覽車因為很多路線都沒有了嘛司機也沒有他的車他也不開了會造成整個價格上升你等到再開放的時候台灣的環境成一個惡性的循環更貴然後大家更不來你會不會擔心這樣的一個情況 |
transcript.whisperx[256].start |
7623.331 |
transcript.whisperx[256].end |
7642.312 |
transcript.whisperx[256].text |
當然委員剛剛所提醒的這個惡性循環的狀況我們也在觀察那也非常擔心我們希望不要發生確實委員在講的遊覽車的部分缺工是個議題然後生意也是個議題那他們的這個數字如果起不來或者是下降對未來如果我們要爭取更多的旅客進來是不利的 |
transcript.whisperx[257].start |
7642.984 |
transcript.whisperx[257].end |
7660.01 |
transcript.whisperx[257].text |
跟委員報告下在戰略上來講我們跟韓國很像也就是出國大概就是會比來臺的數字大概會差1比2的概念所以台灣這是一個自由市場所以國旅是蠻重要的 |
transcript.whisperx[258].start |
7660.49 |
transcript.whisperx[258].end |
7677.282 |
transcript.whisperx[258].text |
所以怎麼樣支撐國旅那個旅次其實還是可以帶動因為我時間真的不夠了好吧那我就把我的一個想法講一講因為準備這個資料也蠻花精神的那我還沒提到你先提到韓國嘛我們的韓國很像我現在真的希望我們跟韓國很像 |
transcript.whisperx[259].start |
7678.903 |
transcript.whisperx[259].end |
7700.065 |
transcript.whisperx[259].text |
除了這個比較之外我們來看看就是說另外一指標來看那大家都復甦嘛我的想法說我們現在說我們降下來我們復甦多少不公平啊也許不公平啊其他國家都沒做到平常我們做到我們鄰近的國家跟我們類似的比我們更爛都有那坦白講那我還要給你數大拇指那到底發生什麼事的遠的我就不敢比了嘛好不好 |
transcript.whisperx[260].start |
7700.666 |
transcript.whisperx[260].end |
7721.022 |
transcript.whisperx[260].text |
那臺灣到目前為止都一樣前面8個月喔都前面8個月喔這不是一年對一年喔那前面一個都是2019年全年喔疫情前的在臺灣跟2019年以國外外國的旅客來臺的人數到目前為止前8個月跟那一年對比付出比例是42%韓國 |
transcript.whisperx[261].start |
7724.329 |
transcript.whisperx[261].end |
7727.85 |
transcript.whisperx[261].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[262].start |
7748.916 |
transcript.whisperx[262].end |
7756.679 |
transcript.whisperx[262].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[263].start |
7774.854 |
transcript.whisperx[263].end |
7786.784 |
transcript.whisperx[263].text |
問題是這樣嗎?問題不是啦因為我們今天不是要講大陸啦跟港澳啦那我們都知道少很多啦以前8個月來比較大陸、港澳來台的人數少了67%這個不談嘛因為這個你們沒辦法主導的不談這個可是我們覺得日本 |
transcript.whisperx[264].start |
7791.567 |
transcript.whisperx[264].end |
7807.411 |
transcript.whisperx[264].text |
你們說匯率嘛日本也比同期2019年同期少了40%韓國也比同期少了13.7%整個歐洲歐洲來台的旅客也整體少了10%我想這樣的 |
transcript.whisperx[265].start |
7812.662 |
transcript.whisperx[265].end |
7813.443 |
transcript.whisperx[265].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[266].start |
7827.622 |
transcript.whisperx[266].end |
7828.963 |
transcript.whisperx[266].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[267].start |
7844.136 |
transcript.whisperx[267].end |
7873.211 |
transcript.whisperx[267].text |
如果找藉口是真的比較簡單只要噴口水在原地不動所以我在這邊拜託你們今天提的一個報告我們希望你們在私下多找一些是屬於我們自己可以改善的理由也許不用報告給我們聽我們真的希望在明年能夠快速的追上您有沒有信心好 我們努力會有信心好 謝謝謝謝委員好 謝謝盧銘正委員發言也謝謝部長那現在休息10分鐘 |
transcript.whisperx[268].start |
7893.612 |
transcript.whisperx[268].end |
7906.743 |
transcript.whisperx[268].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園 |
transcript.whisperx[269].start |
7914.762 |
transcript.whisperx[269].end |
7918.906 |
transcript.whisperx[269].text |
有限公司董事長、外交部國家公園署董事長、外交部國家公園署 |
transcript.whisperx[270].start |
7932.011 |
transcript.whisperx[270].end |
7949.801 |
transcript.whisperx[270].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園 |
transcript.whisperx[271].start |
7953.704 |
transcript.whisperx[271].end |
7970.418 |
transcript.whisperx[271].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[272].start |
7976.322 |
transcript.whisperx[272].end |
7999.151 |
transcript.whisperx[272].text |
第4屆選交通委員會主席我不是希望能夠多餘的選擇包含歐洲、包含歐洲、包含歐洲、包含歐洲、包含歐洲、包含歐洲、包含歐洲、包含歐洲、包含歐洲 |
transcript.whisperx[273].start |
8008.303 |
transcript.whisperx[273].end |
8019.946 |
transcript.whisperx[273].text |
如果金融的目標一千萬沒有達到,我們一定會向前衝如果一千萬沒有達到的話,我們一定會向前衝如果目標沒有達到的話,我們一定會向前衝欸 怎樣 |
transcript.whisperx[274].start |
8026.368 |
transcript.whisperx[274].end |
8037.098 |
transcript.whisperx[274].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[275].start |
8048.306 |
transcript.whisperx[275].end |
8061.612 |
transcript.whisperx[275].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[276].start |
8069.795 |
transcript.whisperx[276].end |
8083.326 |
transcript.whisperx[276].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[277].start |
8096.295 |
transcript.whisperx[277].end |
8101.817 |
transcript.whisperx[277].text |
有限公司董事長、臺灣港務股份有限公司董事長、外交部國家公園署 |
transcript.whisperx[278].start |
8116.783 |
transcript.whisperx[278].end |
8132.018 |
transcript.whisperx[278].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[279].start |
8134.901 |
transcript.whisperx[279].end |
8137.742 |
transcript.whisperx[279].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[280].start |
8163.736 |
transcript.whisperx[280].end |
8170.699 |
transcript.whisperx[280].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園 |
transcript.whisperx[281].start |
8185.785 |
transcript.whisperx[281].end |
8204.77 |
transcript.whisperx[281].text |
這公司其實是在進行修改,所以針對所有周邊的貨輪、航空貨輪是大型航空公司,他們有保險公司公務員那所以目前擱淺的狀況,就像這次的大陸的這個工廠,它這個擱淺的狀況,保險公司都被開放了 |
transcript.whisperx[282].start |
8209.999 |
transcript.whisperx[282].end |
8216.49 |
transcript.whisperx[282].text |
應變的措施其實在我們還沒發動之前如果發動以來失去動力的一段時間就沒有任何應變方式作用 |
transcript.whisperx[283].start |
8221.988 |
transcript.whisperx[283].end |
8243.072 |
transcript.whisperx[283].text |
包括台東還沒來之前我們就先落實所有的幹部都必須要離開12台這個動作其實都有做到目前的規範就是12台離開到12台離開那這個部分在台東之前都有落實那之後是因為它是運動運動才發生現在的事情那在它進行運動第一時間我們就已經在啟動波長 |
transcript.whisperx[284].start |
8253.055 |
transcript.whisperx[284].end |
8271.903 |
transcript.whisperx[284].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[285].start |
8275.698 |
transcript.whisperx[285].end |
8285.686 |
transcript.whisperx[285].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園 |
transcript.whisperx[286].start |
8287.982 |
transcript.whisperx[286].end |
8314.277 |
transcript.whisperx[286].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[287].start |
8316.777 |
transcript.whisperx[287].end |
8338.107 |
transcript.whisperx[287].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[288].start |
8341.508 |
transcript.whisperx[288].end |
8365.18 |
transcript.whisperx[288].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[289].start |
8369.943 |
transcript.whisperx[289].end |
8393.899 |
transcript.whisperx[289].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園 |
transcript.whisperx[290].start |
8407.278 |
transcript.whisperx[290].end |
8428.909 |
transcript.whisperx[290].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[291].start |
8455.89 |
transcript.whisperx[291].end |
8456.95 |
transcript.whisperx[291].text |
好,我們繼續開會接下來有請陳樹悅委員發言 |
transcript.whisperx[292].start |
8464.65 |
transcript.whisperx[292].end |
8465.211 |
transcript.whisperx[292].text |
謝謝召委謝謝主席 請主席邀請陳部長還有觀光署周署長 |
transcript.whisperx[293].start |
8486.409 |
transcript.whisperx[293].end |
8499.174 |
transcript.whisperx[293].text |
部長、署長早安我們看到上個禮拜五賴總統他有公開提到就是說台灣以觀光立國所以我們要以這個這樣的一個施政的一個願景來推動觀光產業也要讓台灣的觀光符合國際永續發展的潮流那他也強調觀光是國家的軟實力也是堅實的外交的力量所以公部門跟民間一定要跨領域、跨區域的合作 |
transcript.whisperx[294].start |
8514.299 |
transcript.whisperx[294].end |
8528.634 |
transcript.whisperx[294].text |
中央跟地方也要密切的溝通一起提升深度旅遊跟特色旅遊的品質跟行銷所以觀光產業的發展是很重要的非常重要可是我們看到就是說在今年6月18號這個 |
transcript.whisperx[295].start |
8531.957 |
transcript.whisperx[295].end |
8550.43 |
transcript.whisperx[295].text |
瑞士的洛杉磯學院它有公布了2024年IMD世界競爭力的這個排名那我們看到我們台灣的這個整個排名是退步的只有基礎建設是有進步的那其中這個觀光的收入佔GDP的這個佔比是其中這個經濟表現的項目這個是退步的所以這個是一個很就是實際的這樣子一個數字 |
transcript.whisperx[296].start |
8558.536 |
transcript.whisperx[296].end |
8575.924 |
transcript.whisperx[296].text |
那我們看到今天其實我也很多委員都有提到以目前就是說疫情之後我們的這個觀光人數而入境跟出境的這個人次的一個比較我們旅客出境的人次已經達到了就是在8月份就達到1138萬 |
transcript.whisperx[297].start |
8577.585 |
transcript.whisperx[297].end |
8578.726 |
transcript.whisperx[297].text |
有限公司董事長、臺灣港務股份有限公司董事長、外交部國家公園署 |
transcript.whisperx[298].start |
8602.017 |
transcript.whisperx[298].end |
8608.902 |
transcript.whisperx[298].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[299].start |
8629.677 |
transcript.whisperx[299].end |
8652.308 |
transcript.whisperx[299].text |
報告委員那個目標還是沒有變我重申過好幾次我在委員會裡面講好幾次就是說前線的同仁們還在努力爭取國際的旅客要來台灣所以那個目標我作為部長不會做下修目標還是1000萬但如果要務實一點講我在前幾週的說法是說我們務實一點說有可能達到的人次750萬是相對比較務實的 |
transcript.whisperx[300].start |
8654.269 |
transcript.whisperx[300].end |
8670.799 |
transcript.whisperx[300].text |
那我現在聽到觀光署給我比較更樂觀一點的說法有機會750到800萬我們希望能夠達到800萬務實的人數大概是這個樣子那當然我們現在第4季是台灣觀光很重要的旺季那我們也把握這個時間在國際媒體上面做大量的曝光 |
transcript.whisperx[301].start |
8672.4 |
transcript.whisperx[301].end |
8696.771 |
transcript.whisperx[301].text |
之前有報告過就是一些代言人的部分在韓國也好在日本也好代言人的部分當然有做但另外對於我們自己臺灣的觀光的品牌臺灣觀光3.0的這個品牌我們目前國際的行銷正在大力的推廣那我們相信後面的這兩個月我們要把握這個旺季如果不要再有天災不要再有颱風我們希望這兩個月有機會可以讓臺灣的觀光人士能夠突破800萬 |
transcript.whisperx[302].start |
8697.827 |
transcript.whisperx[302].end |
8726.603 |
transcript.whisperx[302].text |
那可以請部長講一下您樂觀的這個原因、條件讓國人可以有信心樂觀的條件一方面第1世紀本來就是台灣的觀光的旺季那二方面我看觀光署最近在努力國際宣傳的部分我看整個通路的狀況都還不錯那點閱的次數也蠻高的願意來臺的人士我想在這一兩個月有看得出來ITF那邊看起來的那個數字看起來的狀況有比較樂觀一些 |
transcript.whisperx[303].start |
8727.783 |
transcript.whisperx[303].end |
8754.523 |
transcript.whisperx[303].text |
您是就目前客觀的一個條件來評估可是就是說就我們政府部門有什麼樣積極的一個政策積極的政策對於未來未來我們也跟地方政府大家在配合100個觀光的亮點我們目前正在行銷這100個觀光亮點除了行銷之外要把它建置得更好那我有拜託觀光署這邊幫我們更聚焦因為坦白說你叫國際觀光客去看100個亮點那是不可能的 |
transcript.whisperx[304].start |
8755.323 |
transcript.whisperx[304].end |
8776.068 |
transcript.whisperx[304].text |
所以我們可能聚焦過去在講日月潭、太魯閣、阿里山當太魯閣一受損之後大家就不太願意來我們是不是有其他更大的亮點可以讓國際看到目前我們正在盤點我們希望能夠盤點出更好的亮點讓國際觀光客看到目前觀光署有公布了台灣觀光100亮點先請教一下署長這個100個亮點是怎麼評選出來的 |
transcript.whisperx[305].start |
8781.125 |
transcript.whisperx[305].end |
8804.622 |
transcript.whisperx[305].text |
對,我們除了過去的一些人次包括了我們有一個雙年曆那麼最重要的是我們把22縣市任務的觀光手長一起就是說你覺得自己的縣、自己的市哪一個是最重要的亮點然後再加上我們國家公園署的國家公園還有林業署的林業 |
transcript.whisperx[306].start |
8805.603 |
transcript.whisperx[306].end |
8808.487 |
transcript.whisperx[306].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[307].start |
8818.318 |
transcript.whisperx[307].end |
8826.626 |
transcript.whisperx[307].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[308].start |
8837.136 |
transcript.whisperx[308].end |
8852.278 |
transcript.whisperx[308].text |
所以我們應該這個唯一的環島的系統怎麼樣透過區域旅遊的方式把柄做大也謝謝委員長期來幫我們協助那中區的中台灣我們也希望能夠是一個台灣一個非常重要的一個發展 |
transcript.whisperx[309].start |
8853.095 |
transcript.whisperx[309].end |
8868.853 |
transcript.whisperx[309].text |
是 因為我看了這100個亮點就彰化縣的部分是列了扇形車庫、八卦山大佛、鹿港老街田野公路花園還有台灣優格餅乾學院可是我覺得我們彰化處處是亮點我覺得這樣子好像有一株之憾 |
transcript.whisperx[310].start |
8870.154 |
transcript.whisperx[310].end |
8874.016 |
transcript.whisperx[310].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[311].start |
8887.922 |
transcript.whisperx[311].end |
8889.382 |
transcript.whisperx[311].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[312].start |
8908.067 |
transcript.whisperx[312].end |
8932.237 |
transcript.whisperx[312].text |
這也是兩個部分啦第一部分就是雖然他沒有在擺大亮點但是不表示他不是亮點那我們也會按照這個滾動式的檢討第二個我們其實有一些補助的機制跟這個軟硬體的這個協助那如果是這種所謂的我們的叫漁港觀光觀光漁港漁港的方式來推動我覺得台灣有非常多的那這個東西 |
transcript.whisperx[313].start |
8934.078 |
transcript.whisperx[313].end |
8944.404 |
transcript.whisperx[313].text |
這個應該也是我們一個很重要的賣點我們也跟商劃線再一起討論一下是 好 那就這個觀光產業的部分就是這個推觀光100亮點然後交通部也有宣稱說要拼這個8千億的這個觀光產值所以這個拼這樣子的一個觀光產值的話當然就是除了國際旅客之外這個國旅也是同樣非常的一個重要 |
transcript.whisperx[314].start |
8959.634 |
transcript.whisperx[314].end |
8960.957 |
transcript.whisperx[314].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[315].start |
8971.042 |
transcript.whisperx[315].end |
8990.432 |
transcript.whisperx[315].text |
我清楚因為很多國人在說住宿的價格這是個問題那第二個問題就是住宿的品質也是個問題那我們也跟旅館公會有跟他們有做很多次的溝通我相信署長也時常跟他們在做溝通其實還是有一些比較便宜的旅宿可以讓旅客可以來投宿 |
transcript.whisperx[316].start |
8991.152 |
transcript.whisperx[316].end |
9008.915 |
transcript.whisperx[316].text |
那這個部分我覺得應該要做一個宣傳讓大家知道說其實有貴的啦不過也有便宜的可以提供給大家那是不是讓大家可以去選擇也願意去這樣子是好就是說因為我們要真的達到以觀光立國就是如同我們賴總統說的就是要 |
transcript.whisperx[317].start |
9009.155 |
transcript.whisperx[317].end |
9018.897 |
transcript.whisperx[317].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[318].start |
9036.223 |
transcript.whisperx[318].end |
9039.504 |
transcript.whisperx[318].text |
好 謝謝陳昭偉接下來有請林俊憲委員發言好 謝謝主席本席邀請我們交通部陳部長陳部長還有公路總局陳文睿局長陳局長 |
transcript.whisperx[319].start |
9068.88 |
transcript.whisperx[319].end |
9084.53 |
transcript.whisperx[319].text |
董事長今天跟你探討一下這條路我在上個禮拜有去會勘這條路在台南惡名昭彰這個是台19甲線台19甲線就是新化的外環道 |
transcript.whisperx[320].start |
9086.192 |
transcript.whisperx[320].end |
9100.143 |
transcript.whisperx[320].text |
我相信你可能要照過了 新華你知道嗎新華我還沒去過 就是這條線大概沒走過新華你還沒去過那新那新華有一個老街啦在古崎嶇啦就是來 上一講就新華那個老街齁 |
transcript.whisperx[321].start |
9105.518 |
transcript.whisperx[321].end |
9132.963 |
transcript.whisperx[321].text |
這裡這裡喔那昇華市區阿他那個老街阿大概只有12米啦你如果去過昇華你就知道喔他那十二米的那旁邊都是一些古建築我們才撈下來叫做昇華老街那12米那車輛進出當然就車輛量小嘛所以那時候就開闢這個黃色的這個叫外環道就是這個外環道阿現在可能是臺南外環道裡面喔我看全台灣來比阿大概比最爛的 |
transcript.whisperx[322].start |
9134.326 |
transcript.whisperx[322].end |
9137.668 |
transcript.whisperx[322].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[323].start |
9151.499 |
transcript.whisperx[323].end |
9177.902 |
transcript.whisperx[323].text |
就是他南北兩個路南北兩個坐向一個是往一個是新化往北就是他站在往北這裡往南這裡往到關廟那中間就是我今天要講的這個外環島我以平均車流量往南到往北車流量都差不多一萬多但是新化外環島的車流量只有兩千多我們再回上一張 |
transcript.whisperx[324].start |
9179.42 |
transcript.whisperx[324].end |
9200.883 |
transcript.whisperx[324].text |
所以你懂我意思吧就是說他下面的車道啊很多車那上面也很多車反而外環道啊沒有車為什麼他不願意走那不願意走你知道再回去塞那個舊的那條12米的小路嘛那你外環道就失去了它的作用 |
transcript.whisperx[325].start |
9202.382 |
transcript.whisperx[325].end |
9219.91 |
transcript.whisperx[325].text |
這條歐安道在2014年、2015年花了17億30米的很寬的一條那設計不良在什麼地方他第一年就撞死5個人等下就失火的人然後他趕快去亂改號誌 |
transcript.whisperx[326].start |
9222.062 |
transcript.whisperx[326].end |
9242.288 |
transcript.whisperx[326].text |
那改良也沒辦法改善啦 過去6年來過去6年 我跟你算車禍數字啦過去6年啦 新華的多寬度啦車禍發生200八十幾件A2啦 但是有人受傷的 有人輕重傷的223件 剩下車禍消容的61件啦 人家發生200八十幾件車禍就表示這 第一個 這條車的流量那麼小 沒有人要走 |
transcript.whisperx[327].start |
9252.281 |
transcript.whisperx[327].end |
9278.511 |
transcript.whisperx[327].text |
沒有人要走反而車禍還發生那麼多件那可見這個道路已經是非常可怕了那工種也擺爛了那放在那裡有沒有管理啊已經跟你們反映很多次了那這次我上個禮拜就會刊了總算工種有提出計畫短中長期要把改善這條道路這條道路我們再下一張 |
transcript.whisperx[328].start |
9280.325 |
transcript.whisperx[328].end |
9285.809 |
transcript.whisperx[328].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[329].start |
9298.53 |
transcript.whisperx[329].end |
9324.077 |
transcript.whisperx[329].text |
那你怎麼去...你的人要怎麼走到人行道?你怎麼走不上去?一邊機車道一邊快車道啊你人根本走不...沒辦法走到人行道啊而且他很高耶,他頭一米多高啦那老人家你背不上去啦當時設計應該是有問題那你現在啊,長期計劃要把這個打掉啦你扔了要打掉它啦 |
transcript.whisperx[330].start |
9325.326 |
transcript.whisperx[330].end |
9333.871 |
transcript.whisperx[330].text |
因為法律上你設計它是人行道所以你要把它打掉要再做環差但是這要如果不可以繼續擺爛你昇華外環島你媽想要壓蓋 |
transcript.whisperx[331].start |
9338.687 |
transcript.whisperx[331].end |
9363.139 |
transcript.whisperx[331].text |
我請充分的局長來是你了解這個案子嗎有有有謝謝委員10月29號會刊那短中長期就是長期的部分確實就像委員說的因為他現在有那個快慢車分隔道分隔帶然後這個直行的跟右轉的其實會有一些車流的問題那人行又擺在那個快慢車分隔道所以我們大概基本上就是說長期會做這個環差把這個 |
transcript.whisperx[332].start |
9365.52 |
transcript.whisperx[332].end |
9369.323 |
transcript.whisperx[332].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[333].start |
9391.414 |
transcript.whisperx[333].end |
9399.296 |
transcript.whisperx[333].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[334].start |
9419.557 |
transcript.whisperx[334].end |
9443.805 |
transcript.whisperx[334].text |
那個大車啊,大車在這裡右轉啊,沒有專用號誌啊所以經常會擦撞,我們弄到機車就開車給你收攏所以這個部分的號誌啊,這個短期內啊,要馬上去做啦外港有很多市政府交通局去啦所以市政府交通局,因為號誌的地方他要管嘛所以你公眾要跟我講,跟市府的交通局做一個配合嘛,那要隨機做啦以前給我答應12月喔 |
transcript.whisperx[335].start |
9448.551 |
transcript.whisperx[335].end |
9466.776 |
transcript.whisperx[335].text |
12天你短期就要把它做完啊好啊 中期就是你趕快去做那個標線的設計那標線要重畫啦對標線要重畫啊啊 但是沒應用啦 你要同步進行啦你今天做反差啦你把那個安裝到補都給卡掉了對 沒有錯你開17天 一個月的車都2000幾台你沒差錢 你要後備做 |
transcript.whisperx[336].start |
9473.99 |
transcript.whisperx[336].end |
9477.057 |
transcript.whisperx[336].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[337].start |
9483.069 |
transcript.whisperx[337].end |
9485.111 |
transcript.whisperx[337].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[338].start |
9504.631 |
transcript.whisperx[338].end |
9529.993 |
transcript.whisperx[338].text |
那是很恐怖的,兩年以外6年發生280多件大小車禍,這實在很可怕希望短長期,我們在短期內今年年底前應該就要看到了那中長期再請公眾這裡加油,光陰安坐著感謝駁斗,感謝主席好,謝謝林委員接下來有請廖宣祥委員發言 |
transcript.whisperx[339].start |
9545.728 |
transcript.whisperx[339].end |
9548.571 |
transcript.whisperx[339].text |
好謝謝召委齁那這個麻煩一樣請我們的陳部長陳部長還有周署長周署長 |
transcript.whisperx[340].start |
9558.749 |
transcript.whisperx[340].end |
9582.923 |
transcript.whisperx[340].text |
好部長今天其實看了我們的這個第一張就好我們這個看一下今天我們的這個報告其實有點小小失望啦都在講我們好的一面啦那其實就是觀光有點問題我們稍微才會排今天這個會議嘛我們都寫說啊我們這個可能比跟去年比成長了多少恢復到疫情前多少都講好的講正面的啊真正的問題好像我們自己不敢點出來啦其實我覺得 |
transcript.whisperx[341].start |
9584.315 |
transcript.whisperx[341].end |
9595.752 |
transcript.whisperx[341].text |
面對問題啦我們要勇敢的面對問題那我們的問題才會被解決啦好不好希望我們這樣的態度來討論這觀光議題啦那我想先這個跟部長跟署長確認一下為什麼我們要推動觀光產業為什麼要推動觀光產業 |
transcript.whisperx[342].start |
9602.659 |
transcript.whisperx[342].end |
9629.519 |
transcript.whisperx[342].text |
觀光產業本來就是經濟的一部分對嘛賺錢嘛很簡單賺錢啦所以說就是賺錢啦簡單講就是人民要賺錢那我們在常常在做觀光統計的時候我們常常就統計到相關的人次嘛對不對那既然我們是以賺錢為目的雖然說有點庸俗啦但以賺錢為目的喔這個人均的消費也相當重要嘛對不對我們過去大概這個一直以來討論都人次的問題啦那我們這個我們現在也有在討論永續跟數位的部分 |
transcript.whisperx[343].start |
9631.661 |
transcript.whisperx[343].end |
9655.734 |
transcript.whisperx[343].text |
是 那大概去年啦 我覺得2023年我們觀光署的資料那來臺旅客大概650萬人嘛 那我們出境的旅客大概1180萬人大概是這樣的數字喔 那差距差距很大 那實際上我們的觀光會差絕對不是這樣子的數字差距而已 因為我們還要乘上我們的人均嘛 對不對那我們來臺人均啦 這個應該也是我們觀光署統計的啦 我們來臺人均大概 |
transcript.whisperx[344].start |
9656.594 |
transcript.whisperx[344].end |
9660.117 |
transcript.whisperx[344].text |
公司董事長、外交部國家公園署公司董事長、外交部國家公園署公司 |
transcript.whisperx[345].start |
9679.835 |
transcript.whisperx[345].end |
9683.198 |
transcript.whisperx[345].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[346].start |
9703.219 |
transcript.whisperx[346].end |
9704.462 |
transcript.whisperx[346].text |
這個你們有檢討過為什麼為什麼我們這個消費的人均的花費會差到1.5倍嗎? |
transcript.whisperx[347].start |
9713.066 |
transcript.whisperx[347].end |
9741.965 |
transcript.whisperx[347].text |
跟委員報告一下有幾個因素啦第一個我們一般的買機票都不是在國內都是當地國算消費所以是不算來臺的這些的這個所謂的消費數個人均阿對那要扣掉的第二個就是說疫情之後其實結果改變了也就是休閒旅次跟商務旅次其實有很多是混搭的那也就是說他們現在的旅遊成本比疫情之前還墊高 |
transcript.whisperx[348].start |
9743.767 |
transcript.whisperx[348].end |
9771.869 |
transcript.whisperx[348].text |
那這些因素都是我們在分析的過程裡面但是我們也發現到現在20歲到40歲這個應該是出國跟來台灣應該都會有影響啦你剛剛講的因素應該出國跟來台灣都會有影響嘛所以我們在算的時候就先算來台灣的這些經濟的因素啦對啊出國也是嘛那差距這麼大那其實我剛剛部長你剛剛有看到我們的這個通影片嘛其實我覺得我們就是要徹底去分析我們要去 |
transcript.whisperx[349].start |
9773.018 |
transcript.whisperx[349].end |
9791.032 |
transcript.whisperx[349].text |
比較細的去分析我們才能知道我們的利基點在哪裡我們的缺點在哪裡那其實從我們來臺旅客跟國人出國旅客的年齡層的分布大概就可以看得出來我們的這個為什麼我們人均來臺人均為什麼比出國人均還低我們來臺旅客的主要年齡層大概集中在20到39歲 |
transcript.whisperx[350].start |
9794.036 |
transcript.whisperx[350].end |
9795.978 |
transcript.whisperx[350].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[351].start |
9809.244 |
transcript.whisperx[351].end |
9816.151 |
transcript.whisperx[351].text |
這個人次的統計大概就是從40歲開始就是20到29這符合我們的經濟狀況啦這20剛出社會比較經濟狀況不是那麼好30到39好一點所以出國人變多到了40到49人又更多了所以相對起來從我們的這個 |
transcript.whisperx[352].start |
9827.683 |
transcript.whisperx[352].end |
9844.435 |
transcript.whisperx[352].text |
國人出國跟來臺旅客人次的年齡層分佈大概可以看得出來這應該也是可以分析的一個點可以知道為什麼那我們是不是也可以從我們的年齡層的分佈可以看得出來我們國家為什麼比較吸引20到39歲的旅客 |
transcript.whisperx[353].start |
9845.296 |
transcript.whisperx[353].end |
9872.077 |
transcript.whisperx[353].text |
而反而不是高年齡層經濟能力比較好的一些旅客我們有曾經做過這樣的分析嗎我們的基點在哪裡為什麼年輕人喜歡來但是相對經濟能力比較好的外國人他為什麼比較少來我們有沒有做過分析或者說部長您的判斷會不會怎麼樣報告委員我覺得以你這張圖這樣看這你們的啦觀光署的以這張圖看起來我覺得在年齡層比較高的比較有消費能力這是我們未來要努力去爭取的一個面向 |
transcript.whisperx[354].start |
9872.637 |
transcript.whisperx[354].end |
9895.889 |
transcript.whisperx[354].text |
那他們的經濟能力好比較沒有那麼多來台灣的因素有可能他們不曉得台灣有符合他們經濟水準或者是說他們喜好的那個消費的面向那這個部分或許我們在宣傳面上可以多一些讓國際的這個例如說40到49啊50到59經濟能力比較好的這個族群他們能夠多理解台灣在這方面的消費的狀況可以符合他們的需求 |
transcript.whisperx[355].start |
9896.329 |
transcript.whisperx[355].end |
9924.979 |
transcript.whisperx[355].text |
所以這樣就是很明確的TA雖然說這都是一個觀光的一塊大餅但是每一個消費的人群他都有自己可能消費的傾向那我們就可能針對我們優勢在哪邊那我們怎麼再加強缺點在哪邊為什麼會有缺點我們來補足那我們的整體的觀光才會進步我不是還一個口號我不是很喜歡看到口號的東西我希望看到實際一點的東西那就優劣分析那我希望能夠對我們未來的觀光有很大的幫助那另外屢次這個落差 |
transcript.whisperx[356].start |
9925.819 |
transcript.whisperx[356].end |
9928.88 |
transcript.whisperx[356].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[357].start |
9950.805 |
transcript.whisperx[357].end |
9954.587 |
transcript.whisperx[357].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[358].start |
9979.359 |
transcript.whisperx[358].end |
10003.295 |
transcript.whisperx[358].text |
條件不能夠這個有條限次來談但是確實在這段時間內我們可以看到陸方有善意的陸方有善意的那我們這邊有沒有引以任何善意的方案來回應不一定是他提的方案嘛委員您說的善意齁臺灣的善意更早在今年的年初其實我們就已經開放團客可以到中國是阿花取消了嘛但對岸到現在還沒有開放團客來臺灣對善意來講的話臺灣其實更早對那沒關係他們現在已經有 |
transcript.whisperx[359].start |
10007.518 |
transcript.whisperx[359].end |
10031.455 |
transcript.whisperx[359].text |
我們給的比較多沒關係他們目前我們給的比較多沒關係那他們有承諾他們的旅客到我們外島來那我們會不會因應他們來到我們的外島我們來提出一些其他的措施這個我們節成歡迎啊善意是互相堆疊的啦善意是互相堆疊不是說指責你每天只來指責指責來指責去那就不會進步了嘛善意會很多對 而是人家有善意回應我們現在張開雙手歡迎那我們這邊是不是有一些善意的方案能夠來回應他 |
transcript.whisperx[360].start |
10037.119 |
transcript.whisperx[360].end |
10059.231 |
transcript.whisperx[360].text |
那相對起來善意是層層堆疊的好不好我希望既然剛剛我們講到觀光為了什麼是為了賺錢嘛那為了我們國人能夠賺錢那我們應該是彼此吃出善意而不是彼此來指責說你怎麼哪邊沒做好他指責我們台灣沒開放的航客你指責他沒有來那個他沒有不能自由行來連自由行都不能來早上開也不能來阿這樣子永遠不會有進步嗎 |
transcript.whisperx[361].start |
10060.532 |
transcript.whisperx[361].end |
10081.28 |
transcript.whisperx[361].text |
好不好 是好不好 這個我知道或許你們也不能夠做足啦我們來歡迎他們就嘴巴講嘛 好不好彼此釋出善意我相信都會對台灣的觀光有進步啦那另外還有一點我要跟部長確認一下我們現在高鐵延伸以來呢目前還做二階環評嘛那明年底預計明年底完成嘛 |
transcript.whisperx[362].start |
10081.994 |
transcript.whisperx[362].end |
10102.023 |
transcript.whisperx[362].text |
那這個部分其實在之前應該是王國才部長的時候我大概有提過啦我有建議說平溪是不是能夠設一站那時候他有說在評估嘛那後來我有確認一下我跟局長確認一下我們的如果說平溪要設一站的話在環評通過之後還有沒有機會還是說這個東西要設站必須要在環評裡面一併要呈報通過的時候才能設站 |
transcript.whisperx[363].start |
10109.358 |
transcript.whisperx[363].end |
10128.101 |
transcript.whisperx[363].text |
理論上要一併要怎樣要一併要一併嘛所以照我們目前鐵道局的方案平溪站目前是沒有設站的計畫嘛 是這樣是的是的那沒關係我不想因為一個平溪站影響到延伸宜蘭這個整體的進度我們黃平照走但我們是不是能夠 |
transcript.whisperx[364].start |
10130.489 |
transcript.whisperx[364].end |
10151.397 |
transcript.whisperx[364].text |
預留設置的空間如果說要補相關的環評的程序的話未來有機會再來做審查我們可不可以承諾我我們在延伸宜蘭這條線的時候經過平行的時候預留可以涉戰的一個機會那後續再來努力可不可以承諾我們再跟委員報告不要報告啊部長對不對 |
transcript.whisperx[365].start |
10154.248 |
transcript.whisperx[365].end |
10175.667 |
transcript.whisperx[365].text |
因為要設站其實也牽扯到說在站體那邊周圍的整個都市計劃的部分是還要再跟地方政府要再來商討是所以那個程序應該會蠻長而且規模應該會蠻大的對所以我也不希望影響到往宜蘭的這條線來做嘛那我們預留我只是要求預留也不叫你設包委員因為事實上是有些技術上的問題我再跟委員報告是 |
transcript.whisperx[366].start |
10177.568 |
transcript.whisperx[366].end |
10197.005 |
transcript.whisperx[366].text |
好啦好啦好啦,這個東西我們在想,因為我沒看過你們的可行性評估啦,綜合國家報告我也沒看過,不知道為什麼你們當初為什麼不設好,再來討論,那我希望真的可以考慮一下,剛剛講到觀光,憑新一年來的多少旅客那為什麼,剛剛講的,回到剛剛講的,年輕人他搭乘大眾運輸的能力其實是比較強的,那火車轉來轉去,相對起來如果有高鐵的話 |
transcript.whisperx[367].start |
10201.329 |
transcript.whisperx[367].end |
10214.037 |
transcript.whisperx[367].text |
高年齡層的人就能夠來啦對不對 其實大眾運輸工具也是觀光的一環嘛好不好 我們做得越健全 我們的觀光也越好嘛這是井井相扣的好不好 那再拜託部長 再拜託我們的局長 謝謝好 謝謝廖委員接下來有請陳學生委員發言好 謝謝主席 是不是請交通部陳部長陳部長 |
transcript.whisperx[368].start |
10232.176 |
transcript.whisperx[368].end |
10260.064 |
transcript.whisperx[368].text |
還有航港局業局長航港局業局長部長早安委員長我接續剛才廖委員的質詢平潭啊平潭上一次我到北京去跟對方聊到就是說他有兩個一個是馬祖先開馬祖先讓他進來小三通那第二個就是平潭跟台北之間的直航 |
transcript.whisperx[369].start |
10261.525 |
transcript.whisperx[369].end |
10280.86 |
transcript.whisperx[369].text |
我有跟議員長討論過你平潭到台北的直航現在我們講的是雙向對等問題是我們沒有船要過去人家有船要過來為什麼我們不放?您知道嗎? |
transcript.whisperx[370].start |
10282.369 |
transcript.whisperx[370].end |
10307.518 |
transcript.whisperx[370].text |
其實這個旅運上要有需求我們的船不過去可能旅運上還真的沒有那個需求在臺灣人要去平潭的可能不多應該是這樣會吐死了那平潭過來讓他過來嘛他入客來有什麼關係呢其實雙向虧損是虧他起碼要虧1億2億喔他那個會虧損其實聽起來不太合理他虧損是他的事啊他有船啊我們起碼沒有虧損嘛那你現在來個對等的問題來你來個對等的問題來啦這對等的問題是 |
transcript.whisperx[371].start |
10312.18 |
transcript.whisperx[371].end |
10326.679 |
transcript.whisperx[371].text |
對等你沒有船他歡迎你也對等你也可以對等你台灣哪一條船我平台哪一條船對不對有需求就會有船現在問題是沒有需求你沒有船有需求就會有船有需求也沒有船 |
transcript.whisperx[372].start |
10328.394 |
transcript.whisperx[372].end |
10341.891 |
transcript.whisperx[372].text |
有需求自然航商沙頭生意有人做車本生意沒人做沒有任何一條船要去跑你問業局長有沒有船要跑你起碼花一億到兩億我告訴你一年至少一億到兩億你認為勒他跑讓他跑嘛對不對 |
transcript.whisperx[373].start |
10348.361 |
transcript.whisperx[373].end |
10374.29 |
transcript.whisperx[373].text |
現在就是說兩岸客運的部分除了小三通之外空運的直航也都是非常便捷現在小三通的平均載客率大概只有六成左右所以現在整個需求特別是大三通你先不要講這個你現在講陸客不來吧對不對我上次到北京跟他們談他說第一個馬祖先開放小三通第二個就是平潭直航台北 |
transcript.whisperx[374].start |
10375.22 |
transcript.whisperx[374].end |
10402.646 |
transcript.whisperx[374].text |
平壇、浙江、臺北他的船要過來,你不讓他過來為什麼不讓他過來?你有對等的問題說我一條船去,你一條船過來那你讓他跑嘛我跟他們講過了,平壇到臺北比福州到臺北更遠會吐死啦,上船就發O2代他跑幾次他就停掉了那你何必給他一個藉口?他團客來喔你就讓他來嘛,是不是? |
transcript.whisperx[375].start |
10403.854 |
transcript.whisperx[375].end |
10427.711 |
transcript.whisperx[375].text |
我想這個層次當然是國安會的層次啦我覺得部長你應該要提一提好不好好好那另外就是這個我們聯家行業啊虧損多少錢現在葉局長你知道嗎對跟委員報告依照縣府所提的這個數字呢當然累積戶口大概1億1.1億左右對啊他只有5800萬現在還要去向台灣銀行借 |
transcript.whisperx[376].start |
10431.698 |
transcript.whisperx[376].end |
10450.553 |
transcript.whisperx[376].text |
他欠韓商的錢怎麼可以客戶再來不給他沒有錢啊你懂了沒有那沒有錢你航空局你有你依照這個什麼大眾運輸條例你有輔導他嘛對不對我們有補助一年2055億問題那個錢是不夠的是不是夜夜咬回去你再 |
transcript.whisperx[377].start |
10453.655 |
transcript.whisperx[377].end |
10480.168 |
transcript.whisperx[377].text |
這個輪動式的再檢討一下好不好是根本報告就是說第一個剛剛部長已經提到每年我們大概每年編的是2.55億包括離島基金跟公務預算那現在縣府這邊有提三個修正計畫那這邊還要再三個修正計畫合計要增加七成好沒關係這個我們將來我們會考考這個還有提出來好不好我們會再協助縣議院長因為時間啦快到了你請回好不好 |
transcript.whisperx[378].start |
10481.358 |
transcript.whisperx[378].end |
10507.786 |
transcript.whisperx[378].text |
主席是不是請觀光署署長好 周署長部長以前現任的王東平縣長他當風景管理署署長的時候旅宿補助大概一年都有2000、淡季補助2000到2500萬他卸了以後就沒了 |
transcript.whisperx[379].start |
10508.837 |
transcript.whisperx[379].end |
10525.788 |
transcript.whisperx[379].text |
那我不曉得是風景管理處處長的能力有問題還是觀光署這邊克扣去補助其他當然周署長跟我講了花蓮現在風災嚴重風災不嚴重的時候我們也沒有啊去年沒風災的時候我們也沒有啊署長 |
transcript.whisperx[380].start |
10527.571 |
transcript.whisperx[380].end |
10540.3 |
transcript.whisperx[380].text |
很慘耶老闆已經罵死了我們不是不努力我們非常的努力現在我非常的努力我們一直在拓展觀光現在這樣的情況你能不能多多少少給我們一點好不好 |
transcript.whisperx[381].start |
10543.01 |
transcript.whisperx[381].end |
10569.84 |
transcript.whisperx[381].text |
呃在硬體方面其實我們一直支持馬祖的再建設另外軟體的部分呢我們也很多的這個活動的補助啦那針對秋冬的部分不是活動補助活動補助是活動補助喔我想旅宿的補助啊因為旅宿的部分基本上我們還是希望引客來策略上還是除了是花蓮山是比較災區啦部長好不好我想請署長啊 |
transcript.whisperx[382].start |
10571.192 |
transcript.whisperx[382].end |
10599.521 |
transcript.whisperx[382].text |
回去討論一下,我們等交通建設討論的時候好不好我們再來看有需要加碼我們再來加碼好不好那現在是不是主席對不起,我再耽誤一點時間,請民航局局長還沒有齁我是後面再給我一點民航局的何局長那署長你請回好不好,謝謝十一月六號馬高航線首航馬高航線首航 |
transcript.whisperx[383].start |
10601.104 |
transcript.whisperx[383].end |
10628.145 |
transcript.whisperx[383].text |
部長你覺得這個首航十班次包機包完結束?上次有跟委員報告我們還會再加會加?會再加現在我沒錢我先跟你報告一下他第二預備金一動之五百萬他的第二預備金已經用光了這我曉得所以拜託部長找民航找公安署至少到元旦假期怎麼困難?你減班都可以現在一個禮拜三班我同意可以減班 |
transcript.whisperx[384].start |
10629.69 |
transcript.whisperx[384].end |
10655.129 |
transcript.whisperx[384].text |
那還有一個問題阿兵哥說在南部指揮官跟我講有800多人軍人是南部的子弟那問題來了他禮拜三還是禮拜五放假我說我們航班可以配合他沒關係我們這個航班的開航不只是只為了我們老百姓我們也為了軍人那軍人的問題在哪裡包機國防部不給錢 |
transcript.whisperx[385].start |
10656.917 |
transcript.whisperx[385].end |
10680.963 |
transcript.whisperx[385].text |
如果是固定航班,他們很像是可以的所以是不是等包機完畢以後,何局長你還要第二次包機嗎我覺得這個六百萬再加上來回的機票起碼七百多萬華信你告訴他好不好叫他算個成本給你聽聽看好不好怎麼來怎麼去我們不希望他虧損,但是你也不要暴力吧 |
transcript.whisperx[386].start |
10683 |
transcript.whisperx[386].end |
10703.234 |
transcript.whisperx[386].text |
委員講到這部分有關包機再延長的部分我們11月中會來開會那第一個還是加油中油加油的問題要先來解決因為不解決一架飛機70個人只能載50個人所以他在損益兩坪的上面其實是不容易達到您告訴中油好不好對這個部分我們會邀中油全中華民國哪一個油品公司 |
transcript.whisperx[387].start |
10706.379 |
transcript.whisperx[387].end |
10732.368 |
transcript.whisperx[387].text |
這個中油沒有只有馬阿祖是馬油你告訴他如果不行明年1月1號我們宣布馬阿祖油品公司回歸中油回歸國油這部分我們會開會然後另外一個就是包機的延長剛剛部長也提到委員也關心的部分我們會盡量在現有也謝謝觀光署給我們的一點費用我們會在那個部分來衡量局長你注意聽部長答應我了 |
transcript.whisperx[388].start |
10733.308 |
transcript.whisperx[388].end |
10754.358 |
transcript.whisperx[388].text |
包機10趟以後還會包我的希望不是包我希望能夠成立固定航線你每個禮拜即使飛一班我也能夠接受你即使飛一班我也能夠接受一個禮拜飛一班你用定期航線然後把油料的問題解決定期航線的部分我會再評估票價 |
transcript.whisperx[389].start |
10758.3 |
transcript.whisperx[389].end |
10785.928 |
transcript.whisperx[389].text |
把它降下來降到3200那個載客率再到70個人當然你考慮林玉樹臺北飛過去萬一那邊氣候不好怎麼飛回怎麼飛回高雄這個問題你跟華信去討論好不好但是包機不能夠停掉定期的部分我們再評估部長你剛才回答我的包機不會停嗎到1月1號最少元旦假期到元旦假期 |
transcript.whisperx[390].start |
10788.256 |
transcript.whisperx[390].end |
10811.39 |
transcript.whisperx[390].text |
那元旦假期會就停了?目前預算還沒做,所以明明的部分還無法動用這不只是我個人,許智傑我也有很大的意見所以我告訴你不能停,繼續即使一個禮拜一班,你用定期航線的方式來處理我們來討論好不好,你這個繼續一下好不好 |
transcript.whisperx[391].start |
10815.046 |
transcript.whisperx[391].end |
10823.781 |
transcript.whisperx[391].text |
不能停喔還有就是北竿機場北竿機場中建方案已經通過了要啟動建設計畫建設計畫請問部裡面啟動了沒有 |
transcript.whisperx[392].start |
10828.699 |
transcript.whisperx[392].end |
10855.558 |
transcript.whisperx[392].text |
跟委員報告北竿計劃的一個實施因為我們第一期基本上我們現在會跟港公司他請他幫我們還在港公司沒有我們現在已經決定要代辦明年114年會開始做這個基本設計跟細設的案子然後再來117年就是等縣府會把這個豐山的垃圾場遷移然後再來我們民航局118年會做都市計劃然後再來就會動工 |
transcript.whisperx[393].start |
10856.198 |
transcript.whisperx[393].end |
10884.059 |
transcript.whisperx[393].text |
那這些都是建設計畫裡面的一環那這邊我們也會去處理委員跟馬祖地區比較關心的施工期間要關閉機場那他的相關配套還有施工期關閉機場的期間可不可以縮短這個我們都會在施工期間跟這個這一次的交通委員會考察我想何居然也會去我請北甘鄉鄉長跟鄉代會主席也要列席 |
transcript.whisperx[394].start |
10885.14 |
transcript.whisperx[394].end |
10901.241 |
transcript.whisperx[394].text |
他們把相關配套他們的需求是什麼我要他們在會中向局長報告好不好報告以後你回去拿來參考有一些法令允許有一些法令不允許的好不好起碼你第一個依法行政第二個的話你要 |
transcript.whisperx[395].start |
10902.162 |
transcript.whisperx[395].end |
10924.348 |
transcript.whisperx[395].text |
因地制宜你要考慮到當地民眾觀賞以後所衍生的一些問題商家、旅館還有現有的公務員、產站的消防員等等這些還有渡海要回到南竿去坐飛機要回去南竿在通勤的問題還有北竿民眾 |
transcript.whisperx[396].start |
10925.595 |
transcript.whisperx[396].end |
10953.749 |
transcript.whisperx[396].text |
做飛機的權益他在北竿的話這一班飛機他隨時都可以登機去走了嘛但是這個機場如果只有在南竿的話他坐飛機的位置能不能給他保留位啊什麼等等這些配套的問題啊我拜託何局長好不好你並案來研究這個問題好不好這個部分我們跟縣府還有這個剛剛講的鄉代表等等我們收集到意見以後我們會整體來做評估好那港公司董事長也來了您有沒有配合那個民航局 |
transcript.whisperx[397].start |
10954.693 |
transcript.whisperx[397].end |
10971.478 |
transcript.whisperx[397].text |
那個我們工程的部分我們全力來配合動作快一點好不好我想都用最初見來處理好不好因為這個建在弦上我們非常非常非常動作快一點點拜託啦好你們兩位請回落地簽賴總統在823的時候到金門去很像 |
transcript.whisperx[398].start |
10979.819 |
transcript.whisperx[398].end |
10997.553 |
transcript.whisperx[398].text |
移民署同意說落地圈還是大陸委員會、邱主委也有講說開放進門落地圈我在馬祖跟他提了幾次他都沒提到落地圈落地圈跟大陸民眾能不能來馬祖旅遊有很大的關係這都是配套我想回去你請觀光署 |
transcript.whisperx[399].start |
10998.394 |
transcript.whisperx[399].end |
11020.733 |
transcript.whisperx[399].text |
就落地簽的部分跟移民署要做一個磋商好不好還有我們在福州也有派駐人員在那邊請他們積極的能夠招商過來好不好這很重要的那署長跟組長你請回部長另外我再問你一個馬祖大橋後來你去問了沒有 |
transcript.whisperx[400].start |
11021.735 |
transcript.whisperx[400].end |
11033.91 |
transcript.whisperx[400].text |
我去問,他還是在國發?國發會回來,英商那個已經回來,他做第三方的簽證國發會抱怨他是英商怎麼講? |
transcript.whisperx[401].start |
11035.188 |
transcript.whisperx[401].end |
11062.236 |
transcript.whisperx[401].text |
因為報告我們沒有參與那是機密文件還是什麼不曉得對,國安會他有就是殷商的報告他們有拿到然後就是我們10月底問他們他們是說他們把相關的結果也簽成本我讓部長跟局長在這邊先跟你說明一下殷商的報告絕對是抄抄我們台灣的抄世襲的一定是他憑什麼做出來 |
transcript.whisperx[402].start |
11063.373 |
transcript.whisperx[402].end |
11090.304 |
transcript.whisperx[402].text |
不能憑空想像,是不是?他要賺蛋、水文、水流、氣候很多因素都要考慮的是不是英國人特別聰明嗎?我不相信所以請局長去了解一下行政院的進度你們要吹,不是說我不去問你們,你們去把馬祖大橋放在那個地方生命是很短暫的小弟今年73歲了 |
transcript.whisperx[403].start |
11092.383 |
transcript.whisperx[403].end |
11115.699 |
transcript.whisperx[403].text |
不是大哥不是小弟我還剩下兩三年就不幹了不幹了問題你這個大橋還在那邊給我拖你是準備拖到我卸任還是怎麼樣沒有,程序都在走其實交通部這邊的程序已經走完該走的程序都在走走完了你要追蹤啊,因為你是主政嘛會追蹤你幫我問一下好不好因為你的層次比較問得到 |
transcript.whisperx[404].start |
11117.079 |
transcript.whisperx[404].end |
11144.671 |
transcript.whisperx[404].text |
局長的程式問不到,他連打電話都不敢問啊你起碼問一下卓院長嘛你也會碰到賴總統啊你說你有沒有做這樣的承諾啊你對陳委員有做這樣的承諾你對馬祖地區有做這樣的承諾不多啊,一年30億嘛是不是我已經循規蹈矩的做成按照程序按照行政程序在走啦 |
transcript.whisperx[405].start |
11146.124 |
transcript.whisperx[405].end |
11171.865 |
transcript.whisperx[405].text |
那你的意思怎麼樣?要拿到立法院三讀通過嗎?不要做成組決議吧?要嗎?現在程序已經在走,其實不太需要不要修法吧?應該不太需要要修離島建設條例來完成馬祖大橋嗎?應該不太需要應該不需要吧?好不好,這個拜託部長那其他的我想等交通委員會考察因為颱風我還很擔心,本來要跟召委報告颱風不知道在哪裡 |
transcript.whisperx[406].start |
11173.291 |
transcript.whisperx[406].end |
11193.043 |
transcript.whisperx[406].text |
啊?不來了齁?你不要說6號去6號去,7號等一下裁縫來回不來回不來我可以往大陸跑啊那你們不能去大陸啊是不是?我可以往大陸從廈門我們就待在馬祖也不錯待在馬祖齁?蠻好的 |
transcript.whisperx[407].start |
11194.083 |
transcript.whisperx[407].end |
11209.677 |
transcript.whisperx[407].text |
希望天流客好不好7號天氣把它變壞把你們通通留在馬祖好不好我們來接待我已經準備了淡菜給你們吃馬祖沒別的好東西海裡面的魚已經都不見了好不好好謝謝委員好那謝謝部長謝謝主席謝謝好謝謝陳委員 |
transcript.whisperx[408].start |
11213.554 |
transcript.whisperx[408].end |
11235.381 |
transcript.whisperx[408].text |
馬祖相關的一個建設問題還蠻多的所以我們這個禮拜三禮拜四特別舉辦馬祖魔鬼營那個很多的問題拜託各位相關的首長把那個解決方案都要帶到馬祖因為馬祖前線民風飄漢大家注意一下好 謝謝陳委員接下來有請邱若驊委員發言 |
transcript.whisperx[409].start |
11244.674 |
transcript.whisperx[409].end |
11247.745 |
transcript.whisperx[409].text |
謝謝主席 請交通部陳部長好 陳部長 |
transcript.whisperx[410].start |
11255.503 |
transcript.whisperx[410].end |
11281.624 |
transcript.whisperx[410].text |
好 部長好 委員好部長 民眾使用大眾運輸的比例是影響能否可以達到淨零碳排的目標重要因素之一部長您認同吧我非常認同 是 那另外所以我們正在努力讓民眾多一些人可以搭大眾運輸大眾運輸 是那另外 電價上漲會增加大眾運輸系統的營運成本導致票價上升那進一步影響民眾的搭乘意願部長 這您同意嗎 |
transcript.whisperx[411].start |
11283.212 |
transcript.whisperx[411].end |
11298.001 |
transcript.whisperx[411].text |
如果票價上升的話會影響到民眾搭乘醫院這個我同意所以我們會用T-pass可以讓這個票價可以穩定是那我本席先針對那經濟部在今年的10月16日調整工業電價的決定本席有幾個問題要請教部長 |
transcript.whisperx[412].start |
11299.522 |
transcript.whisperx[412].end |
11321.056 |
transcript.whisperx[412].text |
我們先看到資料,資料顯示這次電費調漲後臺電的電費增加了4.56億最多那再來是北捷增加了3.9億高鐵增加了3.6到3.7億那其他的系統電費就是0.22到1.9億那這代表各大軌道的運輸系統的電費成本都增加了那為了要應對這一次的電價調漲 |
transcript.whisperx[413].start |
11323.157 |
transcript.whisperx[413].end |
11342.785 |
transcript.whisperx[413].text |
那目前機場捷運還有高雄的捷運已經取消了部分的優惠措施那在今年的 今年我們看到機場捷運從明年1月2號起他取消單程優惠10元那高雄捷運也在這個月的1號取消電子票證85折的優惠那台北捷運那這個月也要召開董事會叫他討論 |
transcript.whisperx[414].start |
11344.285 |
transcript.whisperx[414].end |
11350.471 |
transcript.whisperx[414].text |
調整票價那臺北捷運今年的電費漲幅分別是111年它漲了15%112年它漲了17%那今年的4月它又漲了14%這個月再漲 |
transcript.whisperx[415].start |
11359.801 |
transcript.whisperx[415].end |
11380.619 |
transcript.whisperx[415].text |
14%那從這些數據來看電費調漲似乎已經是常態了雖然能源的議題不是我們交通部的直接的業務範疇可是很多大眾的運輸他都是仰賴電力作為他的動力那所以交通部對電價應該也有相當的了解是吧是當然我們都有了解說大家漲電價的狀況是那部長您認為未來電價還會持續上漲嗎 |
transcript.whisperx[416].start |
11386.641 |
transcript.whisperx[416].end |
11410.744 |
transcript.whisperx[416].text |
這個電價我沒辦法預測但是我還是會鼓勵例如說交通部所比較有關係的例如說台鐵或者是高鐵我們希望朝節能跟節電的方向下去做那據我所知道台鐵跟高鐵其實在去年或前年做的節電方案其實蠻有成效的那這個成效可以讓它這個降低電漲價的這個影響我們希望先朝這個方向努力 |
transcript.whisperx[417].start |
11411.56 |
transcript.whisperx[417].end |
11426.185 |
transcript.whisperx[417].text |
因為這一次的電價調漲讓機場捷運還有高雄捷運都取消了優惠北街這個月也要召開董事會來討論雖然目前還沒有直接影響到民眾影響到通勤署如果電價持續上漲的話 |
transcript.whisperx[418].start |
11428.966 |
transcript.whisperx[418].end |
11451.818 |
transcript.whisperx[418].text |
這些大眾交通運輸他們也會考慮接下來是不是要調整票價這個會有壓力對那這會不會影響到民眾的搭乘意願部長你有想過這個問題嗎有我剛剛有跟委員報告其實如果票價調漲確實會影響到大眾的搭乘的意願所以我們現在推出的那個T-passT-pass讓大家可以維持穩定的一個票價會不會影響到淨寧碳排的目標 |
transcript.whisperx[419].start |
11452.598 |
transcript.whisperx[419].end |
11466.966 |
transcript.whisperx[419].text |
也會也會影響到如果是大眾運輸的這個搭乘的意願降低當然對金鈴碳排是負面的影響所以我們希望還是要鼓勵大眾能夠多搭乘這個大眾運輸公司因為過去動長就是我們都是希望民眾可以搭乘 |
transcript.whisperx[420].start |
11467.646 |
transcript.whisperx[420].end |
11474.468 |
transcript.whisperx[420].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[421].start |
11494.133 |
transcript.whisperx[421].end |
11512.6 |
transcript.whisperx[421].text |
是 報告委員在TPAS目前民眾所使用的那個價格我們會盡全力來維持也就是說即便是捷運的票價調漲我們TPAS的部分也不會去影響到那也就是說大量在使用通勤的這個旅客來說的話他的影響會降到最低 |
transcript.whisperx[422].start |
11513.311 |
transcript.whisperx[422].end |
11541.087 |
transcript.whisperx[422].text |
是 OK 好那接下來北市要問山陰縣延伸48的到底還要多久那因為新北市的捷運局局長10月23號他也針對山陰縣的工程表示截至9月底整體的進度已經達到78.5那預計10月底軌道鋪設安裝作業將全線完成11月機場送電到LB08英哥車站11月啟動橫溪站至英哥站無人駕駛的動態整合測試那新北市市長 |
transcript.whisperx[423].start |
11542.068 |
transcript.whisperx[423].end |
11563.011 |
transcript.whisperx[423].text |
侯友宜則表示今年年底山陰縣它的號誌機房還有供電機房、軌道行政大樓還有土木的營建工程全線交付基點預計明年橫溪站至英哥站要做系統整合測試那山陰縣它預計2025年完工目前已經進入測試階段了可是山陰縣延伸至巴德還卡在行政院 |
transcript.whisperx[424].start |
11564.195 |
transcript.whisperx[424].end |
11589.917 |
transcript.whisperx[424].text |
那在這個月在上個月18號的時候在交通組總質詢的時候本席也問過院長部長您當時也有瞭解到嘛院長他只有說會加速核定的流程那從9月20號交通部呈報到行政院至今已經44天了目前還卡關過去台鐵征聖鳳鳴站臨時的建設計畫從交通部呈報到核定只花了15天山陰縣 |
transcript.whisperx[425].start |
11591.198 |
transcript.whisperx[425].end |
11610.555 |
transcript.whisperx[425].text |
它延伸到巴德是我們地方重大的建設之一那未來山陰線延伸至巴德與桃園的捷運銜接會帶來更便捷的北北桃捷運路網那新北市政府還有桃園市政府一直都很積極那本系也希望我們交通部跟國發會也要來積極地向行政院爭取 |
transcript.whisperx[426].start |
11611.946 |
transcript.whisperx[426].end |
11631.66 |
transcript.whisperx[426].text |
部長您目前掌握到進度到哪裡目前還是在就跟委員上次您所質詢的時候的進度應該是差不多的是差不多就是還卡在行政院嗎還在行政院我回去跟行政院那邊拜託看可不可以加速因為院長也有指示要加速了嘛院長也有指示要加速我再去跟行政院那邊再拜託一下有沒有一個時間時間 |
transcript.whisperx[427].start |
11636.543 |
transcript.whisperx[427].end |
11660.889 |
transcript.whisperx[427].text |
對 主導權在院裡面但我們盡量希望能夠年底之前看可不可以核定好不好是 那本期希望交通部這邊也要積極的來反映我們基層民眾地方的形聲希望可以盡速來核定讓他通過這邊拜託部長那在我們看到今年3月6月3號的時候臺熱線70公里處發生大探訪當時交通部有要求公路局在一個月內 |
transcript.whisperx[428].start |
11661.749 |
transcript.whisperx[428].end |
11664.391 |
transcript.whisperx[428].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[429].start |
11680.945 |
transcript.whisperx[429].end |
11696.365 |
transcript.whisperx[429].text |
新北市金山區的台二甲線陽津公路就因為豪大雨的關係導致8.4公里處發生土石流那本席了解該路段分為上邊坡還有下邊坡上邊坡是C級下邊坡是A級攤方的是上邊坡局長可以說明嗎 |
transcript.whisperx[430].start |
11698.357 |
transcript.whisperx[430].end |
11718.898 |
transcript.whisperx[430].text |
因為這個陽津公路臺二甲就是說這個整個的那個降雨的這個時間的強度其實已經達到就是說整個就是說對於就是說這個邊坡的穩定性所以原則上就是說我們其實對於西齊邊坡其實我們都有加強相關的一個就是說這個管理跟監測那只是說因為 |
transcript.whisperx[431].start |
11721.161 |
transcript.whisperx[431].end |
11734.082 |
transcript.whisperx[431].text |
確實就是說有時候就是說這個當地的一個雨量真的是超乎就是說我們的警戒的話其實我們就是大概會先做相關的一個封路本席這也因為極端氣候的關係那我們這邊是不是要來就是來加強和檢討 |
transcript.whisperx[432].start |
11736.514 |
transcript.whisperx[432].end |
11760.226 |
transcript.whisperx[432].text |
其實我們對於就是說各地的就是說所有的邊坡分級管理以後大概就是說因為這個包括地震或是颱風降雨的這個部分其實我們有相關的警戒跟行動值其實主要就是希望因為它的降雨如果說這個強度已經達到超過我們的整個預期的這個警戒值的話其實是先做相關的一個封路 |
transcript.whisperx[433].start |
11760.706 |
transcript.whisperx[433].end |
11763.187 |
transcript.whisperx[433].text |
公司董事長、外交部國際機場股份有限公司董事長、外交部國際機場股份有限公司董事長、外交部國際機場股份有限公司董事長、外交部國際機場 |
transcript.whisperx[434].start |
11790.598 |
transcript.whisperx[434].end |
11810.273 |
transcript.whisperx[434].text |
董事長、局長北溪這邊也要特別提到在北溪的選區復興區的雪屋鬧道路在今年9月15號也發生攤房那11月1號高雄的藤枝連外道路也發生攤房那特別提到因為這兩條不是公路局的管轄所以它沒有做邊坡的體檢那部長、局長因為我們地方的財 |
transcript.whisperx[435].start |
11811.794 |
transcript.whisperx[435].end |
11825.87 |
transcript.whisperx[435].text |
財政有限希望在交通部也能夠來協助我們地方我們地方市政府有提出的話不管是以補助的方式還是有其他更好的方式都可以來確保我們民眾的通行安全那副長這邊可以來做協助嗎 |
transcript.whisperx[436].start |
11826.651 |
transcript.whisperx[436].end |
11850.42 |
transcript.whisperx[436].text |
好,報告委員齁,這個部分他如果有需要協助的話可以摘修的部分是報行政院會協助那交通部這邊可以協助他們呢就是技術面就是邊坡的管理的技術面的部分我們可以做計轉的部分來協助地方政府只要地方政府有提出我們一定會協助OK,好這邊先謝謝部長好,以上好,謝謝邱委員接下來有請蔡其昌委員發言 |
transcript.whisperx[437].start |
11864.918 |
transcript.whisperx[437].end |
11892.632 |
transcript.whisperx[437].text |
謝謝主席 請陳部長陳部長請航政司跟航港局航港局業局長安司長跟業局長來 司長部長 市長 局長 大家好首先 我先來請教一下那個野柳外海擱淺的那個中國籍貨輪 |
transcript.whisperx[438].start |
11894.29 |
transcript.whisperx[438].end |
11916.67 |
transcript.whisperx[438].text |
現在的狀況怎麼樣今天早上我們的抽油船終於可以靠過去了前幾天其實每一天都有派抽油船過來但因為海象不允許它的海浪大概都到4米2米以下才可以作業那今天已經靠過去作業人員也都已經上去難船上面了已經開始在做前置作業了好 那油抽完了之後接下來呢 |
transcript.whisperx[439].start |
11918.04 |
transcript.whisperx[439].end |
11943.431 |
transcript.whisperx[439].text |
應該會在原地做拆解的動作是不是請局長各位報告我們現在最優先的就是把油抽完應該要化解這個污染的風險那第二個就是船貨的移除那我們會設法盡量除了這個限地拆解這個方案之外我們通常會設法讓它所謂的撫養的移除讓它能夠拖帶那個離開這個擱淺的位置 |
transcript.whisperx[440].start |
11948.674 |
transcript.whisperx[440].end |
11968.441 |
transcript.whisperx[440].text |
接下來有處理完了再來處理貨船跟貨船你要就地拆解掉嗎沒有我們會要求保險公司提出對環境影響最小的方案希望以拖走為優先但如果拖不走就必須要就地拆解局長國際上處理擱淺大家都怎麼處理 |
transcript.whisperx[441].start |
11980.138 |
transcript.whisperx[441].end |
11998.785 |
transcript.whisperx[441].text |
保險公司是一個問題保險公司那是事後等到事情到了結論之後該怎麼賠那保險公司要出面賠嘛那我的意思是說國際面對我舉個例子第一個船擱淺他可能漏油 |
transcript.whisperx[442].start |
11999.705 |
transcript.whisperx[442].end |
12008.782 |
transcript.whisperx[442].text |
那我看我們能做的就是七早八早就把燃油省先弄出來嘛第二個如果貨上面載的是危險物品 |
transcript.whisperx[443].start |
12009.977 |
transcript.whisperx[443].end |
12032.054 |
transcript.whisperx[443].text |
那這個可能問題更嚴重嘛因為他可能會有其他的污染甚至爆炸甚至我anyway不知道什麼問題啦反正上面的貨如果還是危險物品所以呢國際上的處理方式是跟我們一樣就是等著穩定之後先抽油再解決貨然後再處理影響最小的船看要怎麼處理 |
transcript.whisperx[444].start |
12033.554 |
transcript.whisperx[444].end |
12052.808 |
transcript.whisperx[444].text |
國際都是這樣子嗎那國際有救援船臺灣到今天為止連一艘救援船都沒有嘛對我們派海巡去只是把人載走嘛對對於那一艘船怎麼處置我們其實是臺灣其實是無能為力的就簡單講他如果漏油我們就讓他漏漏完再來索賠嘛 |
transcript.whisperx[445].start |
12054.623 |
transcript.whisperx[445].end |
12071.976 |
transcript.whisperx[445].text |
對 包委 這個部分就是現在我們比較欠缺的是拖船的能量對對對不管把它推到更外海或者拉進來我們都沒有嘛那現在國內的這個拖船都是港內型的對對對 我們沒有那麼大的這個救援船嘛 |
transcript.whisperx[446].start |
12072.416 |
transcript.whisperx[446].end |
12086.616 |
transcript.whisperx[446].text |
對那根本就是說現在也在行政院的支持下在江部的支持下今年行政院已經核定了我們明年要來推動一艘大型的拖救船好那這個大型拖救船的營運是在 |
transcript.whisperx[447].start |
12089.029 |
transcript.whisperx[447].end |
12113.194 |
transcript.whisperx[447].text |
港務公司嗎我們會招商那會有一家專業的廠商他會來負責這個好所以就明年開始我們開始打造第一艘臺灣的救援船是這樣的意思嗎下半年明年下半年是這樣的意思沒有錯好這個我的重點在這裡就是說我希望明年真的要落實這個事情臺灣對 四面環海 |
transcript.whisperx[448].start |
12116.041 |
transcript.whisperx[448].end |
12139.333 |
transcript.whisperx[448].text |
那每一年現在只是剛好我在關心這個問題的時候剛好有這個在野柳外海事實上之前7月10月我看陸續你們這個通報的這個事件裡面幾乎這個每一年都很多條船擱淺那我其實很不同意這種所謂我其實不同意這種事後大家再來看要怎麼處理 |
transcript.whisperx[449].start |
12140.333 |
transcript.whisperx[449].end |
12163.822 |
transcript.whisperx[449].text |
就是他把臺灣譬如說在野柳外海甚至有一些更是海洋生態豐富的地方他把他汙染了然後我們汙染之後再開始人家說你要賠我錢我們應該是想辦法阻止他不要讓他汙染嘛所以我看國際的救援上面譬如說日本來講他可能是大型的救援船把那個擱淺的船推出去 |
transcript.whisperx[450].start |
12164.722 |
transcript.whisperx[450].end |
12173.826 |
transcript.whisperx[450].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[451].start |
12189.994 |
transcript.whisperx[451].end |
12214.415 |
transcript.whisperx[451].text |
已經事情發生了我們在講事後那個賠償我認為這個做法上消極委員所說的過去確實沒有這個拖船的設施這個確實只能消極處理那未來如果有拖船我們就可以積極處理所以部長這個一定要督促讓明年不管你們營運的方式是政府來經營或者政府跟民間合作或者你們直接要招標委託給民間經營不是都贊成 |
transcript.whisperx[452].start |
12215.416 |
transcript.whisperx[452].end |
12237.571 |
transcript.whisperx[452].text |
但是重點就是說我們要趕快積極臺灣這個實在是說實在今天講這個有稍微漏氣這個那麼久的時間然後我們四面環每一年都這種案例都那麼多但我們卻都是無能為力的方式在處理消極的方式在處理我覺得這個不妥所以這一次要來做這個事情本席是很支持的但我很擔心 |
transcript.whisperx[453].start |
12239.33 |
transcript.whisperx[453].end |
12253.737 |
transcript.whisperx[453].text |
講稿就要做稿不要明年又來跟講說來立法院講說又遇到什麼問題又不能做明年下半年大概這艘船就能到了明年下半年就能到好謝謝那請三位請回那接下來我請那個那個觀光署那個周署長 |
transcript.whisperx[454].start |
12261.394 |
transcript.whisperx[454].end |
12275.43 |
transcript.whisperx[454].text |
委員好 署長好署長我想本席8年的時間沒有待在交通委員會10年前我就在台上非常關心旅館的星級認證當時我就已經預測這個星級認證越來越糟糕 |
transcript.whisperx[455].start |
12282.866 |
transcript.whisperx[455].end |
12304.407 |
transcript.whisperx[455].text |
業者第一個業者喔業者參與的程度越來越低有參與的人就算觀光署去鼓勵去鼓勵去拜託或者他自己有需求可是這個得到這個星期認證在消費者心目當中他已經是他已經不算一個事了啦就是現在的消費者對於 |
transcript.whisperx[456].start |
12306.021 |
transcript.whisperx[456].end |
12320.072 |
transcript.whisperx[456].text |
我們這個交通部觀光署所做的這些星級認證大家已經不再是作為一個我住宿的指標所以長期下來這種叫惡性循環就我得獎也沒什麼 |
transcript.whisperx[457].start |
12321.397 |
transcript.whisperx[457].end |
12334.363 |
transcript.whisperx[457].text |
那我參加了我要繳費然後我得到這個獎所以我就不參加啊不參加你看那個數目啊你看星矩旅館那個那個認證的那個加數啊104年606到了113年這逐年一直下來嘛剩下100多 |
transcript.whisperx[458].start |
12341.719 |
transcript.whisperx[458].end |
12367.374 |
transcript.whisperx[458].text |
我認為如果我們不理他就讓他繼續留在那裡不施任何的改進或者乾脆你把他廢掉嘛或者說你要把他留著很好我也不會反對那你要怎麼做讓他可以起死回生這個早晚就是歸零嘛就越來越少到了一個旋來一邊他就會直接快速下降比如說最後剩下三五十家那三五十家可能隔年就歸零了因為 |
transcript.whisperx[459].start |
12368.434 |
transcript.whisperx[459].end |
12369.435 |
transcript.whisperx[459].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[460].start |
12391.207 |
transcript.whisperx[460].end |
12416.444 |
transcript.whisperx[460].text |
所以我們也用澳洲的標準所以我們有一個五星Outstanding應該俗稱的六星級飯店所以這一次已經有兩家六星級的飯店那這個星級的部分我們也重新調配也就是它的KPI會不一樣所以現在就是說先整備的部分盤整的部分已經完成了那再來的話我們怎麼樣是 |
transcript.whisperx[461].start |
12417.585 |
transcript.whisperx[461].end |
12418.386 |
transcript.whisperx[461].text |
有限公司董事長、外交部國家公園 |
transcript.whisperx[462].start |
12439.283 |
transcript.whisperx[462].end |
12462.151 |
transcript.whisperx[462].text |
臺灣國防協會臺灣國防協會有很多星級旅館在裡面所以我們也希望透過臺灣國防協會跟我們的星級旅館的這個協會做一些串接我們希望做一些鼓勵性的影客那確實大家對星級因為現在我們修法還在做也就是我們現在旅館有三種 |
transcript.whisperx[463].start |
12463.231 |
transcript.whisperx[463].end |
12487.079 |
transcript.whisperx[463].text |
一個叫做國際觀光旅館一個叫做一般觀光旅館一個叫一般旅館可是我們這種分級其實不好旅館要國際化它一定是通盤往國際化走所以我們初步的話就把觀光旅館跟旅館分兩類然後就是走品牌所以這個新級的旅館確實要重新打造那我們希望 |
transcript.whisperx[464].start |
12488.119 |
transcript.whisperx[464].end |
12502.529 |
transcript.whisperx[464].text |
真的需要一點時間然後我們會跟旅宿業一起合作市長其實這種分類在你們內部管理上這個也是10年前就討論的議題就10年前去定義什麼叫觀光旅館、一般旅館其實10年前大家就挑戰了 |
transcript.whisperx[465].start |
12503.77 |
transcript.whisperx[465].end |
12530.302 |
transcript.whisperx[465].text |
這都是老生慘談十年後我站在這裡我還是在跟你講這個事情你還是在跟本席報告這個事情所以這個已經沒有什麼拖不拖就是第一個叫你們怎麼管理啦你們內部對於這種分類有沒有意義譬如說你這個分類是有意義的因為我的標準要求不同那我的權利義務也不同那這個當然有意義嘛就像你不會說我們蓋房子我們來分幾千萬以上叫豪宅豪宅的管理有豪宅的管理沒有它叫公寓大廈 |
transcript.whisperx[466].start |
12531.974 |
transcript.whisperx[466].end |
12559.814 |
transcript.whisperx[466].text |
就你長那個樣子有樓梯有什麼他就供一大下不會再分豪宅的歸豪宅沒有嘛你就是那因為是為什麼因為他權利義務責任什麼都差不多啦而且地方政府在管一般觀光旅館跟旅館對對阿但是問題是修法在立法院嘛是你們行政單位怎麼去修法立法院來審查所以重點還是你們對於整個台灣的旅館業怎麼管理嘛是那第二個我再請教我們星級旅館一年我們編多少預算來做 |
transcript.whisperx[467].start |
12560.773 |
transcript.whisperx[467].end |
12584.992 |
transcript.whisperx[467].text |
預算確實不多但是品牌沒關係不多是多少千萬還是百萬我們原則上大概就一千萬左右一千萬左右好那我再請教一下我看這個米其林他現在在做那個叫星藥就他的米其林一星二星三星這個米其林推薦這個是飲食餐飲那米其林現在對旅館他做這個藥食星藥 |
transcript.whisperx[468].start |
12589.267 |
transcript.whisperx[468].end |
12610.883 |
transcript.whisperx[468].text |
這是另外一個系統對是另外一個系統跟飲食不一樣嘛所以他用鑰匙一個用星星一個用鑰匙不一樣好那這個台灣我看公布裡面沒有台灣嘛我們目前並沒有跟他合作對那有沒有打算乾脆跟他合作我們要評估一下他的制度對就是很簡單嘛因為我們的旅館的我們現在邏輯是這樣我不是說 |
transcript.whisperx[469].start |
12612.394 |
transcript.whisperx[469].end |
12626.649 |
transcript.whisperx[469].text |
我對米其林我沒有什麼特別覺得他就一定好啦對我來講他就是不踩雷的代表啦就至少米其林推薦給你的不會是地雷啦但是你說好不好吃那個個人見仁見智好 |
transcript.whisperx[470].start |
12627.61 |
transcript.whisperx[470].end |
12646.87 |
transcript.whisperx[470].text |
現在我要跟你討論為什麼我們的新籍旅館評鑑會一直下來是因為消費者從來沒有對新籍台灣的這個品牌叫做台灣觀光署發的新籍旅館評鑑它有任何象徵的意義特別是10年前我認為多少還有一點點10年後的今天我認為它毫無意義 |
transcript.whisperx[471].start |
12647.671 |
transcript.whisperx[471].end |
12676.169 |
transcript.whisperx[471].text |
所以我的意思就是說花一千萬要打造這個品牌我認為難度很高就是你要打造到讓台灣的消費者國際消費者來到台灣認為星級旅館就是他的目標我覺得這個難所以你的第一個方法就是你要嘛你要做這些星級旅館你就不要弄那個什麼一千萬的啦外傳那個媒體寫的說跟米其林合作我們都花了六千萬在飲食的部分啦當然觀光局否認嘛我不去追究這個但重點是說 |
transcript.whisperx[472].start |
12677.389 |
transcript.whisperx[472].end |
12702.729 |
transcript.whisperx[472].text |
我們要打造品牌你就要真的花心思去打造讓這個品牌國際觀光客、台灣觀光客認為這個是絕對是保證至少對我來講他不踩雷嘛是保證然後你最好能做到大家以這個為追求的指標譬如說很多人為什麼米其林我們台灣要做是因為很多米其林的愛好者他為了追星他專程坐飛機來台灣吃米其林啊所以米其林對台灣的光光義義在這裡嘛 |
transcript.whisperx[473].start |
12704.141 |
transcript.whisperx[473].end |
12729.681 |
transcript.whisperx[473].text |
那回過頭來一樣的道理我們政府等於說我們在餐飲我們相信米其林可是我們在旅館上我們自己要搞一個旅館評鑑我們自己要搞一個星期旅館評鑑那你就要保證這個旅館評鑑你要搞得有聲有色讓大家至少他不要說贏米其林也不要說跟米其林一樣至少很接近大家也覺得喔這讚這個是有公信力這個是有價值的那旅館他花這個錢他才會來嗎 |
transcript.whisperx[474].start |
12731.552 |
transcript.whisperx[474].end |
12748.621 |
transcript.whisperx[474].text |
主席已經站很久我不忍心讓他站太久了我只把我的想法先告訴部長跟局長跟署長一定要這樣做嘛不然你就二選一你就乾脆不要花這個錢你乾脆就找米其林來合作嘛或者你還有其他的這個評鑑單位也是全球公信力所有的 |
transcript.whisperx[475].start |
12749.341 |
transcript.whisperx[475].end |
12754.322 |
transcript.whisperx[475].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[476].start |
12779.004 |
transcript.whisperx[476].end |
12779.325 |
transcript.whisperx[476].text |
徐富奎委員 |
transcript.whisperx[477].start |
12802.52 |
transcript.whisperx[477].end |
12806.855 |
transcript.whisperx[477].text |
好,謝謝主席,我們有請交通部陳部長、觀光署周署長有請陳部長 |
transcript.whisperx[478].start |
12814.66 |
transcript.whisperx[478].end |
12833.634 |
transcript.whisperx[478].text |
部長好、署長好首先謝謝部長我們上個禮拜一我們交通委員會到屏東來考察然後想從考察結束的那個時候開始為了接著跟鄉親的點維說這個屏東的交通問題到底有沒有解就是說 |
transcript.whisperx[479].start |
12834.915 |
transcript.whisperx[479].end |
12860.761 |
transcript.whisperx[479].text |
交通委員會也看了好幾次那這個關於這個所謂的路線問題還是一些包含高鐵也好高級也好還有我們的平安快速道路甚至觀光的一些方案也好部長我想經過一個禮拜之後您個人有沒有信心可以處於我們這樣的一個交通觀光的一個困境我想交通部跟委員一起在努力包含屏東縣政府也非常的努力 |
transcript.whisperx[480].start |
12861.382 |
transcript.whisperx[480].end |
12869.383 |
transcript.whisperx[480].text |
所有我們在爭取的交通建設案都在推進當中目前都有進度而且都在推進當中所以這個當然是有信心的 |
transcript.whisperx[481].start |
12870.051 |
transcript.whisperx[481].end |
12892.944 |
transcript.whisperx[481].text |
在這邊真的很誠懇的要拜託部長就是我們鄉親的期待因為這個屏東不是只有解決交通的問題它牽扯觀光的層面、產業的層面還有文化教育諸多的層面你觀光不一樣,這些東西很難到位這我想部長最清楚那我們也很期待我們就真的每一個階段要有每一個階段的進展 |
transcript.whisperx[482].start |
12894.745 |
transcript.whisperx[482].end |
12909.58 |
transcript.whisperx[482].text |
每一個階段要有每一個階段的結果讓鄉親、鄉親說平常不再是站位抱歉這一點我想部長我們大家一起來努力另外我想剛剛從9點開始質詢我就發現我們署長臉上失去了微笑曲線 |
transcript.whisperx[483].start |
12916.326 |
transcript.whisperx[483].end |
12929.897 |
transcript.whisperx[483].text |
這個署長最喜歡講的微笑曲線那署長我想從我們那個出國的人數的對比那我們這個國內旅遊的一個對比真的是一個很強烈的落差那 |
transcript.whisperx[484].start |
12932.299 |
transcript.whisperx[484].end |
12949.111 |
transcript.whisperx[484].text |
從這個出國人次的一千多萬到現在我們入境才六百多萬那觀光署這邊對整個策略上的思考上到底有沒有出現什麼樣的問題可不可以請部長跟署長做一個答覆我跟委員簡單的報告一下 |
transcript.whisperx[485].start |
12950.714 |
transcript.whisperx[485].end |
12965.464 |
transcript.whisperx[485].text |
目前來看我們都是一個年度一個年度在做整體檢討那今年度的部分大概有分兩部分一個就是可控的因素一個是不可控的因素因為在做檢討的時候本來就是需要這樣子做說明的 |
transcript.whisperx[486].start |
12966.064 |
transcript.whisperx[486].end |
12985.647 |
transcript.whisperx[486].text |
那有些我們還是可以繼續努力的部分原則上在海外的部分還是無路其發因為我們覺得推廣會跟這個旅展的參與還有這些重要的景點或是重要的這個所謂的轉運站的行銷還是廣告還是很重要然後再加上社群 |
transcript.whisperx[487].start |
12986.508 |
transcript.whisperx[487].end |
13011.604 |
transcript.whisperx[487].text |
那另外一個部分就是真的國旅這個部分因為確實疫情之後解封之後這個國人比較熱愛旅遊都是往國外走那尤其是這個匯率差或是是有些特定的譬如說越南的復國島這些它的團價都比較便宜所以反而會鼓勵了國人一些往外旅遊的一個意願 |
transcript.whisperx[488].start |
13013.385 |
transcript.whisperx[488].end |
13034.473 |
transcript.whisperx[488].text |
但是我們國內的部分還是可以強化的就是說我們發現22個縣市政府尤其是六都的部分其實也開始搭配重要的這個活動像高雄他在這個演唱會的這個方面就可以看到他的成效那當然還有米其林在台中的米其林其實也帶動了台中的美食的旅遊 |
transcript.whisperx[489].start |
13035.453 |
transcript.whisperx[489].end |
13051.736 |
transcript.whisperx[489].text |
我們覺得這些還是可以看到大家一些努力的成果但是住宿這個部分確實我們一直希望這個還是能夠留客那我們現在國旅還是一樣就是所謂的這個留宿的部分就一日遊的比例太高 |
transcript.whisperx[490].start |
13053.397 |
transcript.whisperx[490].end |
13067.462 |
transcript.whisperx[490].text |
這部分我還是要提一下這個我們民宿業者也發聲一下其實像我們平常來講有很多優質的民宿那往往我們在觀光署在處理的一個觀光推展的方面當然我們還是以所謂的一個 |
transcript.whisperx[491].start |
13068.763 |
transcript.whisperx[491].end |
13074.085 |
transcript.whisperx[491].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[492].start |
13093.133 |
transcript.whisperx[492].end |
13099.298 |
transcript.whisperx[492].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[493].start |
13112.228 |
transcript.whisperx[493].end |
13122.838 |
transcript.whisperx[493].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[494].start |
13135.791 |
transcript.whisperx[494].end |
13147.862 |
transcript.whisperx[494].text |
我想這部分 包含未來我們要結合社區做一些深度體驗這部分都是我們需要努力的方向今天觀光署也有選定了103家的金職得獎金職得獎的那個民宿那這個部分我們會大力來推廣 |
transcript.whisperx[495].start |
13149.434 |
transcript.whisperx[495].end |
13178.24 |
transcript.whisperx[495].text |
另外我想另外一個部分就是說針對我也跟我們幾位南部的委員都有在在討論這個問題就是說其實我們很多的因為這些東南亞的遊客他們往往因為班機的問題必須飛到桃園他們沒有辦法去到小港機場所以因為這樣的誘因不足造成其實他們要來南台灣旅遊的意願會降低而且消費會增加這部分有沒有辦法請民進黨局能夠再協調一下增加我們小港機場的航空 |
transcript.whisperx[496].start |
13178.84 |
transcript.whisperx[496].end |
13197.037 |
transcript.whisperx[496].text |
這部分今年它的這個航點已經比過去疫情更多了航點的部分那這個部分我們還要持續來爭取我們希望未來小港機場可以作為臺灣一個非常重要的一個機場所以不管是航點、航線、航班我們都希望能夠成長跟增加這個部分我們還是繼續來努力 |
transcript.whisperx[497].start |
13198.658 |
transcript.whisperx[497].end |
13226.172 |
transcript.whisperx[497].text |
另外部長我想從我們觀光署這個國際的一個宣傳費用從111年開始一年都要開十幾年我想這個花的錢不在少數但是這樣花了這個錢之後看起來並沒有增加所謂一個國外旅客到臺灣來的一個旅遊的誘因那我們國內的景點大概還是停留在故宮這個九份甚至墾丁這邊也是固定那幾個景點我們沒有開發新的景點 |
transcript.whisperx[498].start |
13226.952 |
transcript.whisperx[498].end |
13248.564 |
transcript.whisperx[498].text |
那很遺憾的是就我們來看像最近那個加洛水以前是我們的記憶國小畢業旅行一定要去玩甚至很多國外遊客一定要來墾丁國家公園玩但是因為卡到我們有觀光署有墾丁國家公園署這些跌床驕傲之後加洛水這次逢台颱風尿沒有人要插很可憐的這為了要怎麼去處理這個建設的問題 |
transcript.whisperx[499].start |
13252.506 |
transcript.whisperx[499].end |
13276.954 |
transcript.whisperx[499].text |
是那個部分我們有了解過當然他是屬於國家公園裡面那如果交通部這邊能夠做的能夠協助的包含觀光的宣傳的部分我們當然可以努力不過硬體的部分似乎我們之前有想辦法要做可是被監察院糾正過今天國家公園署的代理署長也要來我想請他也我們到時候大家來討論一下怎麼樣來協助加熱水這個再現方法 |
transcript.whisperx[500].start |
13278.48 |
transcript.whisperx[500].end |
13305.396 |
transcript.whisperx[500].text |
因為我想上次上個禮拜部長我們一起在談到所謂的恆春建成一百五十週年那當然我覺得有一個很意義的就是我們要跨部會整合包含恆春古城的一個建設包含墾丁國家公園的發展我想這部分都是必須要花很多的心力來做一個跨部會不要大家都是都在說剩下的都不要扛責任這樣是不對啦所以我想明年恆春建成一百五十週年 |
transcript.whisperx[501].start |
13305.956 |
transcript.whisperx[501].end |
13333.033 |
transcript.whisperx[501].text |
在這邊也特別拜託部長跟署長全力支持我們恆春建成150週年是一個很有意義的一個歷史的一個活動目前有三個活動我們會盡量來協助有三個活動我們都盡量來協助另外我們有成立一個恆春建成150週年的專案小組我們的這個大鵬灣的風景管理處會作為窗口大家一起來研商看要怎麼協助好那最後我一個問題剛剛有提到我們那個霍倫擱淺的問題 |
transcript.whisperx[502].start |
13334.654 |
transcript.whisperx[502].end |
13352.47 |
transcript.whisperx[502].text |
那 局長 葉局長齁我們那個開米颱風東港這邊還有一艘蒙古籍的巴西亞到現在都還沒有拖走捏阿整個港澳澎湃我看位置又偏了捏更危險捏有有 有跟國營幫我們持續都有專人這個監控他的這個狀況齁 |
transcript.whisperx[503].start |
13354.051 |
transcript.whisperx[503].end |
13369.789 |
transcript.whisperx[503].text |
那一個是船體的位置另外一個是海面有沒有遊屋這個持續都每一天都有那另外空拍允許的情況下我們也都會空拍也會送給海保署那另外一個先是決定就地解體嗎還是要拖走 |
transcript.whisperx[504].start |
13370.089 |
transcript.whisperx[504].end |
13398.768 |
transcript.whisperx[504].text |
因為他的狀況可能就地解體的機會大概沒有辦法脫帶離開所以應該可能是就地解體那不過我們現在因為這個保險公司他沒有出名處理那我們依照香港法案這個介入處理那現在公開招標之後這個廠商會提出這個傳體圖計畫我們會來做審查如果有機會拖出去我們當然是希望能夠拖出去 |
transcript.whisperx[505].start |
13399.048 |
transcript.whisperx[505].end |
13419.911 |
transcript.whisperx[505].text |
市長這個要拜託加快,因為我真的發現那個真的變一個網紅景點啦,保證有很多人都在那裡,都走很遠,我都很怕被那個人碰到,真的很危險啦已經快三個月了,拜託局長趕快處理好不好是是是,我們現在就盡快公開招標,然後找廠商來做處理 |
transcript.whisperx[506].start |
13420.231 |
transcript.whisperx[506].end |
13438.377 |
transcript.whisperx[506].text |
那另外圍籬的部分我們會就是把它圍射的完整也應該做一個安全的一個防護措施啦這避免真的發生危險啦好 謝謝好 謝謝委員好 謝謝徐副葵委員再來有請許智傑委員 |
transcript.whisperx[507].start |
13450.575 |
transcript.whisperx[507].end |
13458.674 |
transcript.whisperx[507].text |
主席大家好,我們先請那個部長跟鐵道局長有請陳部長跟鐵道局局長 |
transcript.whisperx[508].start |
13467.024 |
transcript.whisperx[508].end |
13495.27 |
transcript.whisperx[508].text |
請教一下部長跟局長現在高雄高鐵已經做決定了沒有報告委員目前還沒有目前還是兩個案一個是左營案一個是進入高雄市區的案子所以是兩個案子所以現在還沒做決定對還沒做最後決定我們先假設如果是左營案那就是照原來的案子如果是高雄案那他會到高雄車站 |
transcript.whisperx[509].start |
13497.057 |
transcript.whisperx[509].end |
13521.722 |
transcript.whisperx[509].text |
那然後再到屏東車站但是我鳳山車站好像沒有規劃進去那我知道有很多工程的困難度啦因為我初步了解他要鑽地下上來要12層樓他要拆掉一棟22層樓的大廈但是其實我們地方反應真的是可不可以閃得過啦 |
transcript.whisperx[510].start |
13522.722 |
transcript.whisperx[510].end |
13539.349 |
transcript.whisperx[510].text |
可不可以閃得過就是說你規劃的大小範圍那不見得要說那麼一板一眼嘛那如果閃得過的話是不是有機會如果是高雄岸要到高雄車站那要到屏東車站是不是我鳳山車站要把它考慮進去 |
transcript.whisperx[511].start |
13541.085 |
transcript.whisperx[511].end |
13566.357 |
transcript.whisperx[511].text |
在工程面向上確實目前評估起來是有困難那委員在講的這個閃不閃得過這個我們也請鐵道局我們來研究看看看有沒有那個機會如果閃得過的話那當然是當然是可以啦但是這個工程面向這個我不敢在這邊跟委員做承諾這個要做完研究之後如果可行那當然就照委員所建議的這個我想希望部長跟局長能夠盡全力去思考 |
transcript.whisperx[512].start |
13567.217 |
transcript.whisperx[512].end |
13596.297 |
transcript.whisperx[512].text |
因為我知道那棟22層樓的大廈其實離鳳山車站還有一段距離只是說它要上去的時候它的範圍需要比較大那如果以工程技術來講我覺得那裡已經算是尾端了如果閃得過去應該有機會可以閃得過去所以我希望說我們既然你從高雄車站要來了那你如果說又到屏東車站那跳過我們鳳山其實這個情何以堪 |
transcript.whisperx[513].start |
13597.318 |
transcript.whisperx[513].end |
13604.013 |
transcript.whisperx[513].text |
所以我希望說部長跟局長這個部分是不是可以做再一次的評估把原來計畫評估的那個22棟的大樓把它閃過去 |
transcript.whisperx[514].start |
13608.69 |
transcript.whisperx[514].end |
13629.838 |
transcript.whisperx[514].text |
包括我們這個我們認真來做細節上面的確認跟評估我是覺得有調整的空間啦那個地方其實我了解真的是邊陲離車站還有一段距離如果你要四四方方如果少一個角不見得要四四方方因為那個遠的地方嘛可以做一下調整所以就是說今天坦白講 |
transcript.whisperx[515].start |
13631.209 |
transcript.whisperx[515].end |
13645.187 |
transcript.whisperx[515].text |
高雄車站如果經過沒有經過我們鳳山車站我們的壓力也的確是很大所以我希望說能夠排除萬難把它完成這樣好不好我們朝這個方向來努力來討論技術面看怎麼克服好 謝謝我們換觀光署 |
transcript.whisperx[516].start |
13656.815 |
transcript.whisperx[516].end |
13665.621 |
transcript.whisperx[516].text |
部長有提到說我們觀光人口從一千兩百萬調整到一千萬嘛那現在部長跟署長有沒有討論呢現在大概 |
transcript.whisperx[517].start |
13669.98 |
transcript.whisperx[517].end |
13695.754 |
transcript.whisperx[517].text |
到年底可以到達多少我們的目標一樣是1000萬就是說我強調過好多次前線的同仁還在努力爭取國外的旅客能夠進來台灣所以這個目標我並沒有要做下修但之前有提到說實際上大概能夠達到多少比較有把握的是750萬那我目前聽觀光署給我的數字已經超過620萬了看起來再努力一下有機會可以到達800萬在進來的數字 |
transcript.whisperx[518].start |
13698.055 |
transcript.whisperx[518].end |
13710.054 |
transcript.whisperx[518].text |
那個阿明年大概也是估計1000萬嘛對不對我是認為說如果今年的目標所設定的目標沒有達成的話明年就要達成今年該達成的目標有達成了我們再往上拉 |
transcript.whisperx[519].start |
13711.968 |
transcript.whisperx[519].end |
13736.386 |
transcript.whisperx[519].text |
應該要再放遠一點那個我們TPASTPAS其實從一開始111年開始實施北北基然後我們高雄那陸陸續續現在反應也不錯所以當時我也有質詢過就是臺灣航空卡是不是跟TPAS可以做結合那今年部長也決定說要做TPAS2.2方案對不對 |
transcript.whisperx[520].start |
13738.127 |
transcript.whisperx[520].end |
13764.498 |
transcript.whisperx[520].text |
那這個TPAS2.0方案有沒有包括好玩卡的部分沒有沒有跟各位報告高雄市有提出就是說短天期的TPAS的這個方案TPAS的短天期有提出來目前我們有提供修正的建議給他們那目前他們還沒有回來我希望說讓部長、署長跟局長稍微了解一下你先看大阪這一張 |
transcript.whisperx[521].start |
13767.17 |
transcript.whisperx[521].end |
13793.806 |
transcript.whisperx[521].text |
其實他山之石可以工作我簡單的再講一下就是現在全世界好玩卡做得最好的應該是大阪台灣做得最好的是我們高雄那要怎麼樣去吸引觀光客因為我想以部長、署長、局長跟我的年紀差不多我們可能都會屬於比較團友的啦團體旅遊啦 |
transcript.whisperx[522].start |
13795.799 |
transcript.whisperx[522].end |
13815.806 |
transcript.whisperx[522].text |
那如果是年輕人那個自由行的我不知道你們有沒有觀念比如說你今天去日本去大阪自由行的他會怎麼玩他一般都會買好玩卡你包括在歐洲像那個布魯塞爾 |
transcript.whisperx[523].start |
13817.045 |
transcript.whisperx[523].end |
13823.629 |
transcript.whisperx[523].text |
董事長、外交部國家公園署董事長、外交部國家公園署董事長、外交部國家公園署董事長、外交部國家公園署 |
transcript.whisperx[524].start |
13846.613 |
transcript.whisperx[524].end |
13847.814 |
transcript.whisperx[524].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[525].start |
13867.091 |
transcript.whisperx[525].end |
13885.988 |
transcript.whisperx[525].text |
然後又找這些偶像一起去做行銷代言等等的那甚至就是說他們還有什麼地方有什麼扭扭蛋之類的附贈品扭蛋機部長知不知道知道 |
transcript.whisperx[526].start |
13887.568 |
transcript.whisperx[526].end |
13895.312 |
transcript.whisperx[526].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[527].start |
13916.314 |
transcript.whisperx[527].end |
13924.686 |
transcript.whisperx[527].text |
如果有這個好玩卡的話目前只有北北基有做再來就是我們高雄臺中甚至現在都還沒有臺南也沒有 |
transcript.whisperx[528].start |
13925.874 |
transcript.whisperx[528].end |
13953.195 |
transcript.whisperx[528].text |
所以要怎麼樣去配套我說這是一個比較新的觀念但是如果我們有這樣子做思考我們才會把這個廣度再加廣這個除了日本之外他們還有什麼送小禮物啦什麼之類的有很多打折等等的所以你看日本韓國這裡日本的大牌周遊券有90項免費景點或優惠那首爾它的轉轉卡有75項 |
transcript.whisperx[529].start |
13954.912 |
transcript.whisperx[529].end |
13979.504 |
transcript.whisperx[529].text |
我們高雄好玩卡是21項啦那北北七是35項那當然北北七這裡最貴他可能包括101要450塊可能包括故宮要350塊那是他算算了他就會合年輕人現在很會算他查幾百塊幾十塊他就去算我變成7塊比較會合這個東西如果沒有我們先把它規劃一個配套的話 |
transcript.whisperx[530].start |
13980.529 |
transcript.whisperx[530].end |
14005.726 |
transcript.whisperx[530].text |
一去自由行就是靠自己去搜尋現在高雄市跟北北區這個做法都是城市地方自己處理那有沒有機會我們觀光署跟公路局跟交通部來做一個整體的思考比如說我是高雄,我要去客工館他就要另外領域,這是國立的嘛比如說你在台南要去國立你是保護館 |
transcript.whisperx[531].start |
14007.203 |
transcript.whisperx[531].end |
14019.75 |
transcript.whisperx[531].text |
這是國立的可能他就因為他這個有點複雜啦需要由中央來協助要把這個串聯會比較容易所以我其實今天這個最大的目的就是說我們 |
transcript.whisperx[532].start |
14020.967 |
transcript.whisperx[532].end |
14047.765 |
transcript.whisperx[532].text |
的TPAS 2.0其實我以前就有質詢過在部長還沒來的時候其實我已經好幾個部長我都有質詢過是不是可以把這個規劃進來這個對於有利於推動觀光尤其是自由行年輕人的觀光絕對有蠻大的幫助那不管是國大、國內或國外的旅遊也都會有幫助那是不是部長跟觀光署跟公路局我們確實的把這個部分思考進去 |
transcript.whisperx[533].start |
14052.428 |
transcript.whisperx[533].end |
14072.703 |
transcript.whisperx[533].text |
是 如果觀光跟通勤可以結合在一起的話當然對大家來講都會比較方便那目前比較成熟的是高雄跟北北京這兩個都市的部分我們先來協助看有沒有辦法整合在一起不過因為技術面在通勤的那個月票的那個卡他後台的一些編碼的技術面的問題可能還要再克服這個我們來努力一下 |
transcript.whisperx[534].start |
14073.649 |
transcript.whisperx[534].end |
14097.003 |
transcript.whisperx[534].text |
那明年我們看得到進步的因為好玩卡的英文名字叫做Taiwan Pass明年我們可以做得出至少做得出一部分成長的成績給我們看嘛 |
transcript.whisperx[535].start |
14097.859 |
transcript.whisperx[535].end |
14100.18 |
transcript.whisperx[535].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[536].start |
14120.879 |
transcript.whisperx[536].end |
14148.272 |
transcript.whisperx[536].text |
把全世界到日本去參加萬國博覽會的這些人口一部分帶到台灣來旅遊也會增加我們的觀光客所以這個部分事實上也是希望說觀光署跟交通部可以一起思考他國有這樣子一個活動順便來台灣正好那這個都希望說總而言之我希望說海王卡、T-pass可以結合那我們希望明年可以看得到成績這樣好不好我們來努力好謝謝 |
transcript.whisperx[537].start |
14153.868 |
transcript.whisperx[537].end |
14169.32 |
transcript.whisperx[537].text |
好 謝謝許智傑委員 再來請王洪威委員好 謝謝主席 我請我們交通部長還有民航局局長請陳部長跟民航局局長好 部長好 局長好 |
transcript.whisperx[538].start |
14179.023 |
transcript.whisperx[538].end |
14206.361 |
transcript.whisperx[538].text |
從今年以來波音737、800的飛安的問題不斷事實上在世界各國從馬來西亞航空、全日空到韓國的廉價航空、美國航空、瑞安航空那麼日本航空一連串的都出現了一些飛安上的問題那在全球的民航裡面大家也熱烈討論我想請問部長 |
transcript.whisperx[539].start |
14209.283 |
transcript.whisperx[539].end |
14224.816 |
transcript.whisperx[539].text |
您知道臺灣的航空公司有沒有採用波音華航那麼在這麼多的非安的問題傳出之後我不曉得交通部或者民航局有沒有針對這個我們 |
transcript.whisperx[540].start |
14229.151 |
transcript.whisperx[540].end |
14240.46 |
transcript.whisperx[540].text |
國航所採用的波音737、800裡面有做盤點還有做什麼相關的因應措施目前民航局有做過盤點那因應的措施是不是請局長 |
transcript.whisperx[541].start |
14241.431 |
transcript.whisperx[541].end |
14262.588 |
transcript.whisperx[541].text |
好請局長來大力回應一下有關737、800這個就是說各國發生的一些狀況那我們民航局有進行盤點在臺灣有沒有發生過目前來講是沒有類似的情形那基本上因為我們是只有華航有10架737、800那FAA之前有發布一個公告 |
transcript.whisperx[542].start |
14263.288 |
transcript.whisperx[542].end |
14285.554 |
transcript.whisperx[542].text |
那大概是針對737機型的部分就是針對MAX或者是NG的這個部分因為我們華航737、800所以現在這十架都照飛嗎對目前來講就照華航的維護計畫還有相關的檢修計畫他們在執行因為飛航安全是最重要的所以我要特別提醒交通部有關於這個飛航安全的問題民航局長先請回我請我們的觀光署署長 |
transcript.whisperx[543].start |
14292.23 |
transcript.whisperx[543].end |
14299.494 |
transcript.whisperx[543].text |
部長 剛才您特別講就是事實上我們的觀光目標人數今年本來1200萬然後現在降到1000萬一度講到750萬但是我剛才看你 你又講到800萬 |
transcript.whisperx[544].start |
14307.839 |
transcript.whisperx[544].end |
14314.165 |
transcript.whisperx[544].text |
那我覺得這個目標變得非常浮動目標還是在一千萬沒有變過好那我請問一下你剛才講那一千萬如果沒有達到的話因為你當時到了年底你這個部長的時間也當很久了不會像之前你剛當部長我們給你一點這個學習的時間喔那麼如果在今年年底沒有達到一千萬的話請問一下部長你如何自處 |
transcript.whisperx[545].start |
14335.796 |
transcript.whisperx[545].end |
14346.483 |
transcript.whisperx[545].text |
報告委員第4屆我們的狀況會好一些那當然之前所定下來的目標我們全力在衝刺本來就該衝刺啊所以部長或者署長沒有拿一千萬你們該怎麼辦我要講的是現在觀光業苦哈哈 |
transcript.whisperx[546].start |
14353.607 |
transcript.whisperx[546].end |
14366.038 |
transcript.whisperx[546].text |
你們這個目標自己隨便定隨便調到不到沒有辦法達到就把它變成一千萬然後又變七百五十萬現在好一點把它放到八百萬所以我要問的是你今天如果你在民間的公司你有KPI啊如果好那我問你年底達不到一千萬你自己或者是觀光署署長要不要費負政治責任嗎要不要我們當然要檢討你們檢討是怎麼檢討法 |
transcript.whisperx[547].start |
14380.578 |
transcript.whisperx[547].end |
14395.574 |
transcript.whisperx[547].text |
哪裡做不好就檢討哪裡我要講的是像以前瞻前瞻有很多的觀光計畫的預算我們來看一到四期就是執行到今年年年底 |
transcript.whisperx[548].start |
14396.363 |
transcript.whisperx[548].end |
14408.874 |
transcript.whisperx[548].text |
你們的質詢率都很高喔質詢率都很高所以錢都花完了到整個10年到114年度前瞻觀光的建設計費65億以上所以 |
transcript.whisperx[549].start |
14411.977 |
transcript.whisperx[549].end |
14415.7 |
transcript.whisperx[549].text |
你今天不能告訴我觀光預算花光光然後旅客不來心慌慌啊現在不是我們官員也心慌慌這個數字調來調去然後我們所有的觀光業者心慌慌啊旅客到底在哪裡我只是講務實能達到的狀況我要跟大家報告真實的狀況 |
transcript.whisperx[550].start |
14432.975 |
transcript.whisperx[550].end |
14436.356 |
transcript.whisperx[550].text |
因為當你喊出1200萬的時候部長啊所以你今天是怪你前面的部長啊訂了1200萬太高了嗎政府當你訂1200萬的時候民間的觀光業者會認為你會全力達到所以不管我的投資不管我的設備甚至我用人 |
transcript.whisperx[551].start |
14455.223 |
transcript.whisperx[551].end |
14470.466 |
transcript.whisperx[551].text |
結果呢 一下變成750萬 我算一算 變成少4成欸然後說現在啊 年底再把它衝一下我要講的就是 不要變成錢出去人不來我們現在的觀光部就變這樣嗎 錢出去人不來我們要的是 人出去錢進來啊 對不對 |
transcript.whisperx[552].start |
14479.628 |
transcript.whisperx[552].end |
14501.015 |
transcript.whisperx[552].text |
現在你這樣的一個整個觀光產業現在要死不活你坐在這邊你可能辛苦的是回答我們這個民意代表的質詢可是很多觀光業者他是生死存亡之戰他可能年底他就要決定他今天要不要結束營業了 |
transcript.whisperx[553].start |
14502.535 |
transcript.whisperx[553].end |
14524.962 |
transcript.whisperx[553].text |
所以當你的這個目標數字是一再浮動然後沒有任何人可以被檢討啊那我另外請問你們對觀光業者本來來臺灣一個人補助五千塊這個錢是不是已經花光了因為有人已經已經有觀光業者在問我是不是花完了這不是補助五千塊它是一個活動 |
transcript.whisperx[554].start |
14525.962 |
transcript.whisperx[554].end |
14550.944 |
transcript.whisperx[554].text |
那麼這個預算也是到114年現在是113年還在執行嗎還在執行中而這個所謂的前瞻計畫其實超過80%是硬體設施就像房子舊了老了你要更新就是需要用這個前瞻計畫來做所以啊政府也給你錢立法院也給你錢我剛剛講嘛錢全部都下去了執行階加進百分之百結果呢人不來 |
transcript.whisperx[555].start |
14552.285 |
transcript.whisperx[555].end |
14554.786 |
transcript.whisperx[555].text |
我要特別提到我們現在臺灣真的應該變成觀光大國我們過去也以觀光為非常非常主要的這麼多的服務業產業是來自於觀光我剛才特別講的現在的觀光產業真的太慘了 |
transcript.whisperx[556].start |
14569.671 |
transcript.whisperx[556].end |
14593.39 |
transcript.whisperx[556].text |
如果你們可以苦民所苦的話今天就不是在玩這樣的數字遊戲啦好不好所以我們會盯到年底喔部長請讓你們大家皮繃緊一點喔大家都在努力對 不要以為說答不成算了齁那我們都努力過了不行我覺得如果答不成的話一定要有人負政治責任好 謝謝謝謝委員 |
transcript.whisperx[557].start |
14597.779 |
transcript.whisperx[557].end |
14600.748 |
transcript.whisperx[557].text |
好,謝謝王侯威委員,下一位請鍾嘉斌委員質詢 |
transcript.whisperx[558].start |
14610.069 |
transcript.whisperx[558].end |
14627.566 |
transcript.whisperx[558].text |
主席、在黨委員先進、列席的政府組交通署長官員、會長工作夥伴、媒體記者女士先生有請交通部陳部長、還有觀光署周署長以及鐵道局的楊局長那另外請台鐵的杜董事長和高鐵的顏之森副總在旁邊協助 |
transcript.whisperx[559].start |
14635.302 |
transcript.whisperx[559].end |
14661.409 |
transcript.whisperx[559].text |
好部長好、署長好、局長好部長我請問一下你有沒有去過日本去過你去日本是當觀光客嘛是不是是當然那你會不會去搭他的新幹線會會搭會我當觀光客每次去日本我一定買他的JR Pass你知道嗎日本的觀光客有多少比例用新幹線或者說在日本搭乘新幹線的乘客當中外國觀光客佔多少有沒有概念日本的我不曉得來周署長你們有沒有去過比較 |
transcript.whisperx[560].start |
14664.124 |
transcript.whisperx[560].end |
14681.91 |
transcript.whisperx[560].text |
台灣高速鐵路股份有限公司董事長、外交部國家公園署署署長、外交部國家公園署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署長、外交部國家公園署署 |
transcript.whisperx[561].start |
14684.369 |
transcript.whisperx[561].end |
14705.216 |
transcript.whisperx[561].text |
還是你們的高鐵的乘客當中有多少是外國觀光客有沒有做過統計高鐵目前銷售的話我們的外國觀光客48萬人次好往下看你不是問你多少比例告訴你日本2023年的日本觀光客超過2500萬5兆的日元消費大概大成新幹線的日本觀光客佔他們總體新幹線的用量的兩成 |
transcript.whisperx[562].start |
14706.633 |
transcript.whisperx[562].end |
14732.644 |
transcript.whisperx[562].text |
那在我們疫情前來搭高鐵的旅客當中外國的旅客只佔3.5%部長你看了什麼感覺是當然比例上來看我們是比較低啦為什麼因為日本對國外的旅客來講可能使用台灣的這個高鐵的票可能沒有那麼方便或者是沒有那麼容易很多種可能我要說的是說因為當觀光客到日本搭新幹線非常划算 |
transcript.whisperx[563].start |
14733.544 |
transcript.whisperx[563].end |
14760.051 |
transcript.whisperx[563].text |
所以我們去日本觀光很喜歡自由行往下看但是我今天要問的是另外一個問題高鐵的運量從2007年1555萬的人次到去年是7308萬我們的搭車的人數啊我們搭乘的人數一直在成長最近這10年你看一下我們的運能人數在成長了50%以上可是發車的班次只有增加10%你知道這意味著什麼嗎 |
transcript.whisperx[564].start |
14761.718 |
transcript.whisperx[564].end |
14788.487 |
transcript.whisperx[564].text |
班次增加的少可是人載的人增加很多是不是表示每一班車都載更多的人都要到什麼程度你知道嗎請看下一張高鐵的營運過後趕不上去的成長啊34組列車每組12個車廂可以提供將近1000個座位去年以來班次從1016班增加到1060班成長的多車班成長的少所以旅客就要坐在廁所外面 |
transcript.whisperx[565].start |
14789.537 |
transcript.whisperx[565].end |
14802.667 |
transcript.whisperx[565].text |
那請問要怎麼解決這個問題 有沒有辦法再增加更多的班次 可不可以必須要增加列車組才有辦法再增加更多要增加列車組才能增加班次嘛 對不對請問你這12組的列車是太舊換新還是34加12以後有46組在服務應該是34加12那這34的舊的有沒有要太舊換新時間還沒到時間還沒到 什麼時候會到 |
transcript.whisperx[566].start |
14816.718 |
transcript.whisperx[566].end |
14837.53 |
transcript.whisperx[566].text |
來往下看35年嘛可以使用35年所以我希望你們呢好好的高鐵啊去要求他一下新採購的列出是什麼算出來的你這12組怎麼算出來的是按照我們的運量的需求成長算出來的嗎我先問一下有沒有聽過路線容量跟利用率台鐵該不會告訴我台鐵的路線容量跟利用率是多少說得出來吧杜總長有沒有 |
transcript.whisperx[567].start |
14840.62 |
transcript.whisperx[567].end |
14859.559 |
transcript.whisperx[567].text |
什麼是路線容量你解釋給大家聽是我們各路線的路線容量跟利用率不太一樣不過平均起來我們現在的路線容量有到達85%以上那利用率呢利用率大概超過6成7好你能告訴大家什麼是路線容量跟利用率嗎 |
transcript.whisperx[568].start |
14860.576 |
transcript.whisperx[568].end |
14887.77 |
transcript.whisperx[568].text |
呃 可以啊你請簡短的說路線容量就是我們在每一個路段我們所能開行的這個列次對那利用率就是用它多少利用率就是就是這個這些班次上面客人搭乘的一個情形高鐵有沒有高鐵能不能告訴大家你的路線容量是多少你的利用率多少說得出來嗎我們現在的承載率我們分平日跟假日沒有我是問你路線容量跟利用率你有沒有告訴我台鐵說得出來你說得出來嗎 |
transcript.whisperx[569].start |
14889.656 |
transcript.whisperx[569].end |
14907.618 |
transcript.whisperx[569].text |
你說不出來嘛 因為我公文去要 看下一張啊我去鐵道局要啊 要不到啊如果一個軌道的運輸業者搞不清楚自己的路線容量搞不清楚自己的利用率你告訴我現在可以跑30組列車你告訴我未來可以跑46組列車基礎在哪裡 部長知道原因了喔再看下一頁 |
transcript.whisperx[570].start |
14909.076 |
transcript.whisperx[570].end |
14922.167 |
transcript.whisperx[570].text |
今天我們要談臺灣的高鐵各站的停站量停站班次對不對你看到了沒有我們大概都60、61是不是這樣子這六都嘛你覺得台南46會不會太多還是太少不曉得那你覺得屏東多少才恰當停車班次跟彰化雲林一樣多好不好可不可以 |
transcript.whisperx[571].start |
14935.185 |
transcript.whisperx[571].end |
14946.398 |
transcript.whisperx[571].text |
我屏東也不敢太大野心我不敢要求要跟左營一樣60班次啦你要是給我跟彰化和雲林有17個班次就夠了請問如果要滿足屏東的需求你要多採購幾輛列車 |
transcript.whisperx[572].start |
14949.978 |
transcript.whisperx[572].end |
14968.762 |
transcript.whisperx[572].text |
這就是問題我們都一直以為屏東設站在考慮路線其實你要考慮到屏東縣州縣長說得好你的路線A案B案他說不管能夠趕快訂案就是好案按照運量來決定你停靠的次一個班次容量我們往下看有沒有聽過驗鈔方案驗鈔方案跟其他的左營案跟高雄案最大不同是什麼 |
transcript.whisperx[573].start |
14974.02 |
transcript.whisperx[573].end |
15000.058 |
transcript.whisperx[573].text |
驗潮方案到了驗潮往兩邊岔會去高雄左營的就不會來屏東會到屏東的就不會來高雄左營那表示什麼表示如果你是走高雄段或新左營案或高雄案高雄有60班屏東就有60班需要嗎屏東只要17、18班就可以了所以驗潮案的優點在哪裡你只要考慮屏東需要的運能運量同不同意 |
transcript.whisperx[574].start |
15002.844 |
transcript.whisperx[574].end |
15024.237 |
transcript.whisperx[574].text |
了解了沒有部長了解了沒有我最後要結束了因為主席站起來了因為那個有主橋要改變有工程上面的問題我是說路線的部分要考慮到你未來的人客乘客的市場規模我們屏東不是南港會到高雄的會到台北的都會到南港但是不需要會到左營的都會來屏東 |
transcript.whisperx[575].start |
15025.177 |
transcript.whisperx[575].end |
15053.573 |
transcript.whisperx[575].text |
只要能夠服務就好往下看最後一個你知道台北的那個日本的新幹線從1960年代到2020年代60年代間他們的車廂的列車的進化是這樣子的他的路線從剛開始500公里到現在3000公里所以拜託部長高鐵要永續發展請看下一張我們要從軌道的長度跟車廂的進化列車的進化同步考量所以三個結論燕超案本來就有請交通部回顧可以嗎 |
transcript.whisperx[576].start |
15055.074 |
transcript.whisperx[576].end |
15079.246 |
transcript.whisperx[576].text |
路線規劃除了考慮工程之外要考慮營運可以嗎可以所以臺鐵跟臺灣永不有同步永續發展這是唯一的考量最後的這幾個問題你倒回去為了你們新站點的設置計劃為了你們採購列車的太舊歡欣的騎乘規劃為了你們攀勢成長的調度計劃以及你們延伸軌道服務的區域計劃還有後勤人力的招募計劃可不可以上去那裡給個答案可以可以可以委員沒問題謝謝 |
transcript.whisperx[577].start |
15082.349 |
transcript.whisperx[577].end |
15110.383 |
transcript.whisperx[577].text |
好,謝謝鍾嘉斌委員再來有請鄭天才委員發言好,主席、各位委員,有請部長有請陳部長 |
transcript.whisperx[578].start |
15118.289 |
transcript.whisperx[578].end |
15140.829 |
transcript.whisperx[578].text |
部長好 委員好今天的報告特別提到這個為四月起受天災地緣政治阻力課員的一些因素所以就影響了這個來臺觀光的這個四月起是不是指0403地震0403的地震對臺灣的觀光衝擊非常的大 |
transcript.whisperx[579].start |
15144.073 |
transcript.whisperx[579].end |
15167.059 |
transcript.whisperx[579].text |
好那是只有花蓮嗎還是包含其他的地方當然花蓮是一個指標的觀光地區所以他這個太魯閣受損之後其實國際相當關注那國際上其實大家以為整體臺灣地震都很嚴重因為他們看到的新聞是太魯閣他們所熟悉的那個地方那他們就以為整個臺灣都很嚴重所以這個影響觀光非常嚴重 |
transcript.whisperx[580].start |
15167.819 |
transcript.whisperx[580].end |
15179.388 |
transcript.whisperx[580].text |
好這邊你也提到地緣政治所以這個部分地緣政治就台灣而言這個一直以來本來就是從這個8年來甚至9年來就是這樣的狀況那為什麼會這一次會 |
transcript.whisperx[581].start |
15185.165 |
transcript.whisperx[581].end |
15189.668 |
transcript.whisperx[581].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[582].start |
15211.556 |
transcript.whisperx[582].end |
15220.699 |
transcript.whisperx[582].text |
如果我們看這個從100年到112年甚至到今年真的是我們曾經都是這1000萬觀光人數甚至是1100、1300、1300萬你看今年 |
transcript.whisperx[583].start |
15232.079 |
transcript.whisperx[583].end |
15259.054 |
transcript.whisperx[583].text |
都在一半以下一半以下所以這個部分各項的一個需要去檢討的部分都必須要去就如同剛才你所提的這個報告裡面所提的一併去評估然後怎麼樣去怎麼樣去尤其是政治的因素怎麼樣能夠減少這個是最重要的好 |
transcript.whisperx[584].start |
15262.643 |
transcript.whisperx[584].end |
15281.635 |
transcript.whisperx[584].text |
有關加速擴大團客、花蓮加碼這個部分也要謝謝交通部、觀光局、觀光署但是這樣的一個怎麼樣去繼續的或者是說能夠去加強這個是需要去繼續努力的地方 |
transcript.whisperx[585].start |
15283.08 |
transcript.whisperx[585].end |
15294.069 |
transcript.whisperx[585].text |
我們繼續做那有關落實花東振興方案的部分在雖然你們也做了一個延長現在延長到11月30號11月30號這個延長的部分因為又發生了這個 |
transcript.whisperx[586].start |
15302.236 |
transcript.whisperx[586].end |
15329.241 |
transcript.whisperx[586].text |
抗累颱風所以這個部分要不要再考慮延長我們已經有延長到12月20號我們有3.0plus的這個措施所以這個部分就是說你在報告裡面的因為這個5月天本來要去對不對那因為就是因為這個疏遠颱風所以現在延到1月 |
transcript.whisperx[587].start |
15331.826 |
transcript.whisperx[587].end |
15354.58 |
transcript.whisperx[587].text |
要延到1月所以這個預算是今年的到今年的計畫我知道那明年的預算其實也還沒過所以我們現在也沒有辦法去做明年的這方面這個延續性的部分這個OK的延續性的計畫到12月這個到12月我知道我說延續性的經費明年度延續性的經費是就算 |
transcript.whisperx[588].start |
15355.521 |
transcript.whisperx[588].end |
15370.561 |
transcript.whisperx[588].text |
立法院本來都是在1頁立法院本來都是1頁才會通過預算我們沒有編列這個預算因為這個是因為地震這是因為地震所以特別另外編列一個預算但用預備金來編列的 |
transcript.whisperx[589].start |
15372.103 |
transcript.whisperx[589].end |
15380.848 |
transcript.whisperx[589].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[590].start |
15399.118 |
transcript.whisperx[590].end |
15402.98 |
transcript.whisperx[590].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[591].start |
15425.891 |
transcript.whisperx[591].end |
15442.706 |
transcript.whisperx[591].text |
沒有延長是嗎?好,時間到了是嗎?好,一句話了,民航局這邊要特別,就是現在沒有上,就是針對臺東的部落,針對因為 |
transcript.whisperx[592].start |
15449.517 |
transcript.whisperx[592].end |
15457.18 |
transcript.whisperx[592].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[593].start |
15480.301 |
transcript.whisperx[593].end |
15506.137 |
transcript.whisperx[593].text |
交通部不要成為第一個告部落的這個要審慎好不好交通部不要成為我們依照判決的結論來做我知道所以這個是你們還要送到溯源委員會好好的去把它做一個說明好不好讓溯源會的委員能夠了解不要交通部成為告部落的第一個好不好好謝謝 |
transcript.whisperx[594].start |
15509.209 |
transcript.whisperx[594].end |
15514.914 |
transcript.whisperx[594].text |
好,謝謝鄭天才委員再接下來請羅志強委員質詢主席有請部長有請陳部長 |
transcript.whisperx[595].start |
15530.475 |
transcript.whisperx[595].end |
15549.934 |
transcript.whisperx[595].text |
部長好 交通部去年底定下了1200萬人次來臺觀光的目標嘛 對不對是然後而且承諾說不管有沒有入客都要達標 對不對這個其實算很有氣魄的一個承諾啦有沒有入客都要達標 |
transcript.whisperx[596].start |
15551.363 |
transcript.whisperx[596].end |
15572.675 |
transcript.whisperx[596].text |
可是今年3月就先下修了一次這氣魄就變小了一點下修到一千萬嘛對不對今年3月的時候然後觀光局的計程車所來說一千萬是底線了這個我們還是有氣魄說再修也是底線可是好像不是欸今年到8月來臺旅客請問有多少人 |
transcript.whisperx[597].start |
15574.025 |
transcript.whisperx[597].end |
15589.761 |
transcript.whisperx[597].text |
今年到八月八月的部分還不到五百對啊到現在是差不多六百二十萬對然後因此看起來一千萬是不可能的事了嘛對不對今年也就快結束啦十一月十二月兩個月都不到對不對 |
transcript.whisperx[598].start |
15590.502 |
transcript.whisperx[598].end |
15618.724 |
transcript.whisperx[598].text |
所以下修到750萬人次那不是下修目標還是一樣1000萬我當時的詢答的過程當中我的回答是說我們比較務實能夠達到的是750萬那目前看起來數字又更樂觀一點就超過750萬或許有機會達到800萬部長目標沒有變這是我欣賞你的地方目標沒有變只是達不到就這個概念 |
transcript.whisperx[599].start |
15619.631 |
transcript.whisperx[599].end |
15631.749 |
transcript.whisperx[599].text |
我前線還在努力我不可能跟前線的同仁說那我們今年就不要補錢當然當然我懂領導學我懂領導學我懂但我只是要說一直在往下修其實也蠻打擊士氣的 |
transcript.whisperx[600].start |
15632.625 |
transcript.whisperx[600].end |
15649.671 |
transcript.whisperx[600].text |
那如果是照這個750萬那你說可能應該可以到800萬可以到800萬那當然還希望是1000萬剩兩個月我是不知道這個底氣哪裡來這剩下兩個月怎麼拼到1000萬那我想問一下部長一再瞎修原因是什麼那總要原因找出來吧 |
transcript.whisperx[601].start |
15650.801 |
transcript.whisperx[601].end |
15670.033 |
transcript.whisperx[601].text |
是 但是我們講的原因大家也不一定能夠接受觀光署其實有提出但是不能接受原因也至少讓我們知道4月3號的這個地震那造成很多的觀光客認為說臺灣地震相當嚴重再來就是太魯閣確實是臺灣一個相當重要的觀光資源那它的受損對於整體觀光的影響就非常非常的大 |
transcript.whisperx[602].start |
15670.553 |
transcript.whisperx[602].end |
15695.834 |
transcript.whisperx[602].text |
那再來就是匯率的問題因為我們的主要的觀光的來源國就是我們客人來源的比較多的是日本那目前匯率的部分日本人比較不願意出國去玩因為他們的匯率是跌的我們的匯率維持的還比較好一點那所以這種狀況底下日客來的就相對少一些再來就是我們最近確實颱風也蠻多的那整體都有影響不過我覺得還是我們內部自己要檢討我們是不是亮點不足 |
transcript.whisperx[603].start |
15696.474 |
transcript.whisperx[603].end |
15702.021 |
transcript.whisperx[603].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署有限公司 |
transcript.whisperx[604].start |
15716.317 |
transcript.whisperx[604].end |
15732.295 |
transcript.whisperx[604].text |
所以我真的希望我們交通部能夠把這個目標挺住但是你說國內有一些因素國外有一些因素當然因素很多但是真的歸納起來還是有一個重點就是說入客的問題也是原因之一這個是原因之一 |
transcript.whisperx[605].start |
15733.016 |
transcript.whisperx[605].end |
15751.207 |
transcript.whisperx[605].text |
另外我有看到說觀光署曾經說要先前說要鎖定印度市場的企業獎勵旅遊來衝高來臺的旅遊人次但疫情前很特別疫情前我們華航有直飛印度的德里那疫情後卻一直都沒有復航 |
transcript.whisperx[606].start |
15752.848 |
transcript.whisperx[606].end |
15775.199 |
transcript.whisperx[606].text |
政府要推動新南向又訂出這個所謂的要拼印度的人來台灣旅遊可是你的直飛沒拼成我不知道你要怎麼去拼這個印度來台的旅遊呢是 這個民航的航線來講是非常重要的如果要讓旅客來的話這個部分我們正在努力那華航是不是也還在溝通當中是不是前民航局長可以 |
transcript.whisperx[607].start |
15779.167 |
transcript.whisperx[607].end |
15804.882 |
transcript.whisperx[607].text |
有關印度航線的部分因為它有一個航權的限制嘛那基本上之前是分配給長榮那長榮是由飛夢買那不過後來也是用透過中轉的方式來連接那直飛的部分是德里那這個部分之前是分配給華航那現在我們也在鼓勵業者來申請這條航線那整個恢復的情形大概會看他們機隊的安排我們希望他們可以來及早來恢復這條航線來符合期待 |
transcript.whisperx[608].start |
15807.023 |
transcript.whisperx[608].end |
15829.66 |
transcript.whisperx[608].text |
因為觀光其實觀光客很強調便利性如果說你今天要轉機的話當然就會降低他們來的那個意願所以因此如果說你在任何地方你要再拓展觀光那入客這條路如果現在有受到障礙的話你要廣開其他的一些國際的旅客的話那有一些交通上的東西我覺得要更便利的去推動那就麻煩交通部再繼續努力是 我們來努力好 謝謝好 謝謝委員 |
transcript.whisperx[609].start |
15833.899 |
transcript.whisperx[609].end |
15836.922 |
transcript.whisperx[609].text |
好,謝謝羅志強委員再來有請麥毓貞委員,請麥委員開始質詢謝謝主席,有請部長有請陳部長 |
transcript.whisperx[610].start |
15856.923 |
transcript.whisperx[610].end |
15871.387 |
transcript.whisperx[610].text |
部長好我們10月30號有在台中做考察是我那時候要求就是我們的台中的航空公司那一邊還就是我們要給我那個說明說為什麼我們正常的航班就是票買一買就是說不飛 |
transcript.whisperx[611].start |
15881.55 |
transcript.whisperx[611].end |
15901.281 |
transcript.whisperx[611].text |
為什麼原因還有說多少班影響了多少人這個我還沒有收到這個取消的部分民航局已經有做整理了那是不是先由民航局跟委員報告跟委員抱歉因為我們資料剛剛整理出來那大概月結因為那天講的是月結那大概1到9月總共飛了885架次你可以這個書面再給我這個書面再給我因為這個部分我們要去了解要去幫忙溝通 |
transcript.whisperx[612].start |
15910.285 |
transcript.whisperx[612].end |
15933.13 |
transcript.whisperx[612].text |
因為我們希望剛才都說觀光就是要增加大家的就是想要的嘛如果是航班都沒有沒有信用這樣就會影響更大因為在台中我們越南要飛台灣的有四處來去飛來去飛來飛去影響到我們台中的航班是很大的 |
transcript.whisperx[613].start |
15933.77 |
transcript.whisperx[613].end |
15955.693 |
transcript.whisperx[613].text |
所以這個部分要重視然後第二個就是我們觀光署就是疫情後就是推廣說今年8月來臺就是我們今年來來臺灣就是約62萬人這是我們出去外面的出國的人要 |
transcript.whisperx[614].start |
15959.187 |
transcript.whisperx[614].end |
15980.203 |
transcript.whisperx[614].text |
155萬人所以說呢就是這個比例差因為之前都說別人來我們再開放但是現在我們的觀光呢我們別人我們自己臺灣的都不想留在臺灣都想要出去我們要如何讓說我們的臺灣的觀光更真正 |
transcript.whisperx[615].start |
15981.204 |
transcript.whisperx[615].end |
16003.031 |
transcript.whisperx[615].text |
上次在臺中的時候我都有問到這些問題希望就是我們要如何去吸引更多的觀光來我們的臺灣我們的特色是什麼我們要讓人家值得一遊這個才是我們必要的我們要去整理這個因為我們在臺灣就是人文地產 |
transcript.whisperx[616].start |
16004.744 |
transcript.whisperx[616].end |
16030.539 |
transcript.whisperx[616].text |
警還有住這個地方是我們要全方面的要去顧慮因為我們來到臺灣觀光就是注重這幾個要有這樣子的特色才必須一有才讓我們在來這邊的意願所以這個部分的話我們怎麼樣去推廣要落實不只是口號啦所以部長有沒有什麼的 |
transcript.whisperx[617].start |
16031.719 |
transcript.whisperx[617].end |
16046.565 |
transcript.whisperx[617].text |
規劃因為還有兩個月而已一千萬現在有多少所以說這要怎麼去達成這個很重要不能是說我們在努力中在研議中在就是在這樣中目標在哪裡 |
transcript.whisperx[618].start |
16047.642 |
transcript.whisperx[618].end |
16074.055 |
transcript.whisperx[618].text |
我們目前正在落實國外的這個宣傳的部分其實觀光署也相當的努力有拍了幾支不錯的影片那我們目前在國際的通路上面包含BBC、CNN這些媒體上面其實都有幫我們做曝光那另外針對這個社群通路的部分我們也正在努力當中這個部分其實都有落實在做不過以長遠來講的話我們如果希望觀光能夠做起來我認為台灣的景點也就是亮點 |
transcript.whisperx[619].start |
16074.735 |
transcript.whisperx[619].end |
16099.253 |
transcript.whisperx[619].text |
台灣觀光的亮點要更多而且必須要讓國外的人看到不要只有靠過去大家所熟悉的那些亮點我們應該要開發新的亮點讓大家更願意來台灣玩那台灣的亮點我們在跟各縣市也有配合說有100個亮點這個部分100個當然對國外的人來講太多了但對國內的國旅來講是有幫助的我們每個縣市都盤點出一些亮點讓國人可以在國旅的部分可以下去 |
transcript.whisperx[620].start |
16100.253 |
transcript.whisperx[620].end |
16119.288 |
transcript.whisperx[620].text |
很重要希望就是說我們的亮點要讓大家就是來了就印象深刻別人在幫我們推廣這個更好所以但是呢現在目前我們今天大家都在想要太討論的就是說我們的燈會 |
transcript.whisperx[621].start |
16121.67 |
transcript.whisperx[621].end |
16128.756 |
transcript.whisperx[621].text |
我們燈會也是觀光的一個亮點希望更多人進來但是呢我們的停車位從2016年的2.5萬減少了現在是8000位這樣子的話每年吸引10萬人潮但是呢交通的問題不變這樣的話也會影響大家想要來 |
transcript.whisperx[622].start |
16148.572 |
transcript.whisperx[622].end |
16160.18 |
transcript.whisperx[622].text |
出門了就是要影響這個部分所以要呼應我們的觀光署就是要怎麼樣讓具體的措施要分流、要封路 |
transcript.whisperx[623].start |
16161.28 |
transcript.whisperx[623].end |
16190.331 |
transcript.whisperx[623].text |
除了就是要讓大家來參加我們的燈會也不要影響地方的居民的抱怨這雙方的所以希望這個部分的話我們的交通部還有觀光署這邊增加更多的人來觀光不只考量在日本而已所以在台中四處都是越南的觀光來的我們要這樣這個部分我們一定要重視 |
transcript.whisperx[624].start |
16191.611 |
transcript.whisperx[624].end |
16213.015 |
transcript.whisperx[624].text |
所以要希望我們觀光、觀光署還有我們交通部就是要注重就是人、文、地還有我們的產業、美食還有我們的景色還有我們必須要讓大家想要來的地方這個才是我們重點的理由謝謝好 謝謝委員 謝謝好 謝謝麥玉珍委員再來有請徐巧欣委員質詢 |
transcript.whisperx[625].start |
16226.746 |
transcript.whisperx[625].end |
16228.428 |
transcript.whisperx[625].text |
謝謝主席 我們請交通部陳部長有請陳部長 |
transcript.whisperx[626].start |
16236.195 |
transcript.whisperx[626].end |
16255.649 |
transcript.whisperx[626].text |
部長我先前呢在這個擔任市議員的時候是這個松山區跟新義區的市議員那當然呢在這個選區劃分上面到立法委員的時期呢那北松山也就是松山機場這一塊呢那劃分出來但當然我們還是很關心在這個整個台北市裡面包含我過去的這個選區的問題 |
transcript.whisperx[627].start |
16258.09 |
transcript.whisperx[627].end |
16272.296 |
transcript.whisperx[627].text |
所以像松山機場的部分其實就有很多噪音就造成包含是周邊的居民他們影響非常的大我想要請教一下為了讓機場周遭的住戶能夠減少影響我們其實在機場周邊是有噪音補償金的這個補償金是總共有93,300戶可以領取並且分為一到三級三級的影響是最大的 |
transcript.whisperx[628].start |
16287.443 |
transcript.whisperx[628].end |
16288.084 |
transcript.whisperx[628].text |
我想問的是從民國87年到現在113年已經過了26年請問我們目前補助了多少戶還有幾戶沒有補助到 |
transcript.whisperx[629].start |
16300.529 |
transcript.whisperx[629].end |
16322.9 |
transcript.whisperx[629].text |
目前是7300戶可是我看委員這邊是9000總共有93000戶總共有93000戶要補助沒有錯嗎但我要問的是說我們總共補助了多少戶這次93000戶裡面我們到底就是他應該要補助的是93000戶沒有錯我給你看的數字很清楚了但是我們目前針對這個26年來到底補助了幾戶 |
transcript.whisperx[630].start |
16326.442 |
transcript.whisperx[630].end |
16330.245 |
transcript.whisperx[630].text |
現在補助到第二級的67分配所以是總共應該也有11100戶那目前補助的是總共是7300萬戶所以大概還有8萬戶左右是還沒有拿到補助的對不對 |
transcript.whisperx[631].start |
16347.998 |
transcript.whisperx[631].end |
16366.171 |
transcript.whisperx[631].text |
而且啊我知道光是在二級的部分也就是65分貝以上以及未達75分貝二級噪音的這個區域裡面還有9603戶沒有辦法被得到他的補償金那部長我要跟您澄清的事情是這是從民國87年到113年我們應該要提撥給他們的補助竟然還有這麼多是沒有補助完成的 |
transcript.whisperx[632].start |
16373.976 |
transcript.whisperx[632].end |
16386.14 |
transcript.whisperx[632].text |
那當然我們知道原因可是如果要把這個補償金發完的話我們算過這個速度以這個速度來講每年你只通知450戶二級的還要21年一級的還要163年總共你要 |
transcript.whisperx[633].start |
16389.241 |
transcript.whisperx[633].end |
16396.847 |
transcript.whisperx[633].text |
你要把它補助完畢需要184年我都不知道死幾次了所以我想要問一下就是說這個補助進度到底要怎麼樣才能讓它盡快的讓居民得到補償否則你設立了這個補助金那民眾呢看得到吃不到然後補助的速度這麼慢這麼慢的情況下大家當然會有所不滿對周邊的住戶來說也相當不公平 |
transcript.whisperx[634].start |
16415.442 |
transcript.whisperx[634].end |
16439.44 |
transcript.whisperx[634].text |
所以想要問的部長是說能不能幫助我們這個東山機場周邊的居民能夠來加快這個補償速度有沒有一些具體的作為跟做法是 報告委員我看這個數字我也覺得不太合理如果是住在那邊的居民也會覺得到184年才能夠拿得到那個真的是太久了是啊 我都死兩三次了 |
transcript.whisperx[635].start |
16440.02 |
transcript.whisperx[635].end |
16466.363 |
transcript.whisperx[635].text |
不過他很像裏面的那個計算的那個補償金的那個規劃的部分有他的一定的公式所以速度才會這麼慢是不是請局長先回答說這個不用回答我已經給你看公式了我們公式我們都知道但我們現在要的是檢討就是說你現在是用17塊乘以最大起重量然後加95塊乘以起飛量減7載這我是知道的但我們希望得到的是一個檢討 |
transcript.whisperx[636].start |
16467.664 |
transcript.whisperx[636].end |
16477.429 |
transcript.whisperx[636].text |
既然已經有補助金然後告訴大家了那就不能用這麼慢的補助方式補助給大家這是我們交通部應該需要檢討的那是不是能夠給我們一個具體的方案來解決這個問題部長能不能夠承諾 |
transcript.whisperx[637].start |
16482.612 |
transcript.whisperx[637].end |
16501.242 |
transcript.whisperx[637].text |
報告委員他目前是針對這個航班的部分航班多班次多他的收取的費用就多然後發給居民的速度就快但是現在航班不是說能夠增加就增加不過計算的公式或許我們可以來檢討一下我們來檢討說計算的公式怎麼樣可以讓他速度再更快一些這個部分我們來討論一下 |
transcript.whisperx[638].start |
16502.042 |
transcript.whisperx[638].end |
16520.298 |
transcript.whisperx[638].text |
好那最後我要問一下這個臺中國際機場的部分那其實像現在剛才很多人都在關心說臺灣的這個旅客數那其實如果說像是臺中國際機場能夠有更多固定的班次跟航班不是用包機的情況的話那或許呢可以提升很多中部的觀光 |
transcript.whisperx[639].start |
16521.019 |
transcript.whisperx[639].end |
16547.522 |
transcript.whisperx[639].text |
像是我對於這個清淨農場非常的在意因為那是我們在國防部這個退伏費的土地那呢南投他們清淨農場在疫情之後他的整個觀光旅客數下降很多所以台中離南投相對近如果能夠有持續的這個包機不是用包機的方式是用定期的定時航班的方式的話可能就可以增加一些旅客尤其我們其實像去年好了我們在國外的這個展覽就有推廣清淨農場 |
transcript.whisperx[640].start |
16548.823 |
transcript.whisperx[640].end |
16573.003 |
transcript.whisperx[640].text |
可是有沒有推廣清淨農場之後他從桃園機場下來要到清淨農場其實老實說對於這一些旅客來說是非常麻煩的所以成效不彰我在國防外交委員會有問過同樣的問題所以我想要拜託因為時間不夠的關係我也想要拜託說未來在這個振興整個台中相關中南部的經濟上面台中機場的航線如果能夠增加更多定期的這個 |
transcript.whisperx[641].start |
16574.824 |
transcript.whisperx[641].end |
16579.205 |
transcript.whisperx[641].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[642].start |
16604.929 |
transcript.whisperx[642].end |
16631.429 |
transcript.whisperx[642].text |
部長我們針對於10月25號交通部公布上一週交通事故的死亡資料整體的死亡人數再創7月份的最高單週最高交通部也表示桃園連續4個月死亡人數上升台中市近期大型的事故多所以這個月必須要附中央的檔案匯報來做專案報告 |
transcript.whisperx[643].start |
16634.011 |
transcript.whisperx[643].end |
16651.168 |
transcript.whisperx[643].text |
那這個也是創下了首次首長要這個這個交通部首次要求縣市來報告改善作為這個都好但是呢我們來討論一個計價的這個計算的方式計算的方式那麼交通部的數據 |
transcript.whisperx[644].start |
16653.109 |
transcript.whisperx[644].end |
16658.493 |
transcript.whisperx[644].text |
沒有依照內政部內政部的方式是以10萬人為計算基礎導致道路交通事故的結果它會掩蓋掉我們不分哪一個政黨 |
transcript.whisperx[645].start |
16669.401 |
transcript.whisperx[645].end |
16686.793 |
transcript.whisperx[645].text |
掩蓋掉其中有限市其實如果以內政部的10萬人為基礎他是以民進黨執政的臺南他才是真正的六都當中交通死亡的第一情況所以本席要在這邊請教部長 |
transcript.whisperx[646].start |
16688.274 |
transcript.whisperx[646].end |
16703.022 |
transcript.whisperx[646].text |
也就是我們不希望任何一個縣市有升高也有這樣的現象而且這不分藍綠但是很明顯的我們看出我們深怕的如果以你目前的計算方式跟內政部的計算方式我們怕會有漏網之魚 |
transcript.whisperx[647].start |
16705.703 |
transcript.whisperx[647].end |
16734.467 |
transcript.whisperx[647].text |
會有落網之魚也就是如果以內政部10萬人為基準的計算方式那台南市會是最嚴肅的那所以本席要強調的就是說這個不分藍綠但是我深怕會跑掉了落網之魚的一個改善期所以本席具體建議是不是全國統一制內政部的方式是以10萬人為基準那請教部長是不是 |
transcript.whisperx[648].start |
16734.927 |
transcript.whisperx[648].end |
16761.255 |
transcript.whisperx[648].text |
可以去研討我們目前那個交通部所公布的數字是兩個都有您在說的交通部的數字也有那您在說的這個10萬人的數字也有我們是兩邊綜合評估而且我們這兩個數字其實都一樣上網公告在網路上面的公告這兩個數字都有都一樣都會公告所以本期要跟你討論的也就是說如果以10萬人為基礎來做計算那麼台中市它不是最嚴肅的 |
transcript.whisperx[649].start |
16762.295 |
transcript.whisperx[649].end |
16763.736 |
transcript.whisperx[649].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[650].start |
16782.072 |
transcript.whisperx[650].end |
16805.909 |
transcript.whisperx[650].text |
所以我們用的數字會比較側重在行人道安的部分哪一個方式都是我們重要的所以本期要具體給你建議你是不是應該你交通部跟內政部你們的計算方式你不要讓人民去模糊不一樣你的計算方式是之一那人家內政部公布的方式跟你公布的方式是不一那人民會無所謂所以我具體給你建議你們是不是去討論 |
transcript.whisperx[651].start |
16810.012 |
transcript.whisperx[651].end |
16821.265 |
transcript.whisperx[651].text |
你們是不是依照像你現在已經在用那麼是不是依照內政部的方式去檢討或許你還有更佳的方式藉著這個機會好好的專案去研討好不好好不好多久時間告訴本席 |
transcript.whisperx[652].start |
16826.339 |
transcript.whisperx[652].end |
16830.261 |
transcript.whisperx[652].text |
我們一個月以內來討論因為有提出這樣子的意見我們必須要去檢討制度面最重要好不好一個月內來研討本期跟你討論觀光的問題我們截至8月份我們只有496.9萬國際觀光客來臺 |
transcript.whisperx[653].start |
16846.451 |
transcript.whisperx[653].end |
16874.83 |
transcript.whisperx[653].text |
但是國人出境的是1138.8萬人次所以你的差距是將近2.3倍2.3倍那大家你們也提出觀光署也提出一個什麼呢臺灣觀光100亮點100亮點你的目標是什麼觀光署長你自己講你的目標是什麼你自己講我們就是希望能夠活絡你多少人次你的目標我們的多少人次當然我們國旅的部分是1.9億人次 |
transcript.whisperx[654].start |
16877.592 |
transcript.whisperx[654].end |
16883.099 |
transcript.whisperx[654].text |
1.9億就將近2億人次你希望創造國際旅客創造出多少的觀光產值 |
transcript.whisperx[655].start |
16884.696 |
transcript.whisperx[655].end |
16895.863 |
transcript.whisperx[655].text |
是 我們希望透過你希望創造多少 你的KPI對 我們的產值是當時的設定方式是大概記得是700億人次欸 700億你加計觀國際旅客部長你聽創造出要8000億以上的觀光產值我已經給你open book了你自己都講不清楚不好意思 我以為你在提什麼不好意思 |
transcript.whisperx[656].start |
16913.314 |
transcript.whisperx[656].end |
16941.233 |
transcript.whisperx[656].text |
百大亮點的部分部長啊你這個是苦笑啊我告訴你你現在你現在你現在要怎麼樣脫困因為我們國內有一句話說你怎麼協助我們國內的產業你怎麼協助這是嚴肅的議題啊你自己設定的KPI落差那麼大出國跟來我們台灣玩的差了2.3倍那是怎麼辦 |
transcript.whisperx[657].start |
16942.455 |
transcript.whisperx[657].end |
16961.386 |
transcript.whisperx[657].text |
差距那麼多這個目標還是持續在走啊因為產值的部分是有包括兩個部分一個是旅行業、旅館業跟遊樂區業當然第二個部分才是相關產業包括我們石塑油構型的相關產業包括航空業你當任一級主管你要針對你的結果論去討論現在面對的問題 |
transcript.whisperx[658].start |
16967.223 |
transcript.whisperx[658].end |
16987.473 |
transcript.whisperx[658].text |
國內它的經濟高所以要怎麼樣去協助國內我們的觀光產業這才是我們今天討論的重點所以部長你聽到了資料哩哩喇喇方案我希望要精進所以請你去整體研討2.3倍你要怎麼樣去研討 |
transcript.whisperx[659].start |
16988.493 |
transcript.whisperx[659].end |
17007.692 |
transcript.whisperx[659].text |
你怎麼樣去精進方案好不好你怎麼樣協助我們國內的這個觀光旅遊業因為你國內好人家才會進來嘛對不對甚至連我們的都走掉啦那你兩邊落空啊那我們國內的這些觀光業怎麼辦呢你多久時間把方案給本席你去討論你去討論精進方案 |
transcript.whisperx[660].start |
17010.074 |
transcript.whisperx[660].end |
17029.642 |
transcript.whisperx[660].text |
多久時間我們把方案再提供給委員部長你現在在做的就是我告訴你的這個數字是不滿意的你去精進好不好好多久時間告訴本席我們已經有方案但是我還會再跟他們提供精進方案我明年會有一個新的方案提出來給委員 |
transcript.whisperx[661].start |
17030.602 |
transcript.whisperx[661].end |
17041.978 |
transcript.whisperx[661].text |
那換句話說兩個月嘛 對不對現在11月嘛 對不對你兩個月內去檢討依照你目前的方案你怎麼去精進給本期怎麼樣協助國內的產業好不好 謝謝謝謝楊瓊英委員接著我們請陳俊宇委員 |
transcript.whisperx[662].start |
17062.022 |
transcript.whisperx[662].end |
17088.725 |
transcript.whisperx[662].text |
好謝謝主席那我想針對那個T-PASS通行月票還有這個觀光旅宿的相關議題做質詢我想請部長跟相關部位的首長部長署長還有市長嘛好部長、署長、局長、吳安我想請教一下針對我們T-PASS通行月票的部分 |
transcript.whisperx[663].start |
17089.192 |
transcript.whisperx[663].end |
17104.701 |
transcript.whisperx[663].text |
那交通部目前研擬一套這個不超過14天的這個定期票那也預計在今年的12月來試辦那我想請教就針對這種短期票券的這個規劃及上路的期程相關內容為何 |
transcript.whisperx[664].start |
17106.042 |
transcript.whisperx[664].end |
17130.269 |
transcript.whisperx[664].text |
目前短天期宜蘭縣是有提出一個三天期的嘛有提出三天期的已經給我們交通部那我們也審查也有一些修正的意見給他們了那目前這個進度是不是請你跟我們報告就是宜蘭縣他提出是三天的這一個就是包括北部要到宜蘭這邊的包括鐵路跟國道科運還有當地的一些交通的一個整合的一個方案那我們已經審查過了 |
transcript.whisperx[665].start |
17131.289 |
transcript.whisperx[665].end |
17146.659 |
transcript.whisperx[665].text |
那宜蘭縣政府剛把就是說這個審查意見的這個修正報告回覆到我們這邊我們是希望能夠協助宜蘭縣政府將配套措施把它做好希望能夠在年底能夠推出來好 所以宜蘭縣政府所送的審查這個申請案件應該是沒問題了 |
transcript.whisperx[666].start |
17147.7 |
transcript.whisperx[666].end |
17162.507 |
transcript.whisperx[666].text |
原則上應該是可以目前是三天期的我想再請教一下我們在整合觀光旅宿要來帶動整個國旅的振興我們要如何來推銷我們給國際的觀光客 |
transcript.whisperx[667].start |
17166.349 |
transcript.whisperx[667].end |
17182.286 |
transcript.whisperx[667].text |
我們剛剛講的這個配套的這個票券我們現在有台灣PASS嘛對我們那是叫台灣PASS那我們希望剛剛部長也在講希望能夠北北基先做北北基以這個部分看有沒有機會跟TPASS做整合 |
transcript.whisperx[668].start |
17183.047 |
transcript.whisperx[668].end |
17198.539 |
transcript.whisperx[668].text |
那這邊涉及到這個兩個部分一個是技術面的這個部分就是有關於他的後端的這個都不一樣的系統那第二個就是清分其實TPAS能夠成功其實要有人去清分那個帳 |
transcript.whisperx[669].start |
17199.9 |
transcript.whisperx[669].end |
17227.163 |
transcript.whisperx[669].text |
臺灣PASS是比較單純所以我們做裝我們希望把T-PASS變成臺灣PASS的部分我們後端的部分會再找我們叫優卡公司因為它主要還是清分T-PASS也是如此我們希望能夠一起整合這樣的話對觀光來講是非常方便的那我們在機場、在港口、在網路上會不會有相對應的配套的行銷方式 |
transcript.whisperx[670].start |
17227.934 |
transcript.whisperx[670].end |
17248.087 |
transcript.whisperx[670].text |
行銷的部分我們就是因為它是兩套系統那我們台灣PASS是在國際就有在通路有在行銷那TPASS的部分我們也可以在入境的部分來做推廣那這個部分如果這個TPASS的2.0能夠確定上路的話那我們這個部分的國際行銷就同步上路 |
transcript.whisperx[671].start |
17248.427 |
transcript.whisperx[671].end |
17262.498 |
transcript.whisperx[671].text |
好另外那針對宜蘭縣的這個我們的觀光旅宿迎寒冬的部分那因為宜蘭縣富有非常豐富的這個平原還有山林及龜山島海域的這個溫泉共19處那 |
transcript.whisperx[672].start |
17265.578 |
transcript.whisperx[672].end |
17280.477 |
transcript.whisperx[672].text |
我希望說我們政府應該積極的來協助結合我們17處的休閒農業區來建置一個跨部會的溫泉發展平台一起來打造宜蘭縣成為溫泉大縣有沒有可能 |
transcript.whisperx[673].start |
17281.625 |
transcript.whisperx[673].end |
17310.348 |
transcript.whisperx[673].text |
那個部長非常重視了那所以東山河這個部分有些相關的我們也有合訂了這次競爭型計畫有將近3億元的部分我覺得應該可以打造一個很新的亮點那礁溪蘇澳這邊有很多甚至叫冷泉那我們覺得溫泉跟冷泉的行銷可以做一些鏈接那我們是有補助一些國際行銷費用但是我們覺得還是需要可以加大力道了 |
transcript.whisperx[674].start |
17311.108 |
transcript.whisperx[674].end |
17336.05 |
transcript.whisperx[674].text |
那我們是滾動式檢討剛剛署長您說的這個東山河在上個月我們也啟動了可是在園區裡面我們只看到規劃兩間這個攤屋分別是這個12坪跟16坪的攤屋那未來有沒有可能規劃擴展的空間的計畫您的建議我們會把它納入就是說未來再做擴展那我們現在 |
transcript.whisperx[675].start |
17336.75 |
transcript.whisperx[675].end |
17366.013 |
transcript.whisperx[675].text |
已經有補助接近3億元那這個部分我們先來做那把這個擴大的部分拉進來討論看可以做到什麼樣的程度那對於這個台灣好湯台灣好湯的這個溫泉美食嘉年華這是宜蘭縣算是冬季的一個行銷的一個重點那再加上其他我們地方型的這種小型的活動那有沒有可能我們為了來振興這個旅宿優惠補助的方面我們有沒有辦法來加碼 |
transcript.whisperx[676].start |
17367.701 |
transcript.whisperx[676].end |
17386.619 |
transcript.whisperx[676].text |
我們可以秋冬的部分研究看看有沒有溫泉的套票那最近ITF在推廣的時候有很多旅宿他們也在推套票那我也看到溫泉業者他們也很努力我想應該這個部分應該透過這樣的一個旅展應該效益應該還可以看得到 |
transcript.whisperx[677].start |
17387.219 |
transcript.whisperx[677].end |
17414.978 |
transcript.whisperx[677].text |
好我還是期待啦期待因為剛剛講的我們宜蘭縣除了有豐富的這個水資源齁我們不管是溫泉、冷泉那還有17處的休閒農業區啦我希望說我們跨部會一起來建置一個平台共同來行銷讓宜蘭縣不管是寒冬或是一年四季我們的這個觀光旅宿都能夠蓬勃發展好謝謝部長、謝謝署長、謝謝局長好謝謝陳俊宇委員接下來我們請林月琴委員 |
transcript.whisperx[678].start |
17435.287 |
transcript.whisperx[678].end |
17438.189 |
transcript.whisperx[678].text |
有請我們的陳部長陳部長請部長午安這週又見面了希望透過這樣的一個質詢真的可以逐步把交通改善所以今天要問的事實上就會是我們的駕照考訓制度 |
transcript.whisperx[679].start |
17461.565 |
transcript.whisperx[679].end |
17483.703 |
transcript.whisperx[679].text |
那我們來看那個14期的院方方案部長在省基部在前年在110年的時候年度的那個中央政府總決算報告裡邊他就說針對一些問題他就提到臺灣的駕照太好考所以是事故傷亡的主因不好認同這樣子的一個觀點嗎 |
transcript.whisperx[680].start |
17485.114 |
transcript.whisperx[680].end |
17501.899 |
transcript.whisperx[680].text |
我覺得考照的過程絕對會有影響對於未來對於這個道路安全的觀念或者是技術一定會有影響是 所以你們在去年交通部就會提出這個第14期的願幫方案裡邊也持續對於考照制度 |
transcript.whisperx[681].start |
17502.399 |
transcript.whisperx[681].end |
17504.58 |
transcript.whisperx[681].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[682].start |
17519.997 |
transcript.whisperx[682].end |
17548.496 |
transcript.whisperx[682].text |
我請局長回答跟委員報告就是說因為考照的部分的話基本上考照前的訓練的話包括汽車跟機車那機車的部分的話就是說目前大概都是有強化就是包括到駕訓班還有就是說這個到道路上面的一個訓練那汽車的部分同樣就是說我們在這一個包括比試跟入考的部分我想我們也是持續在做相關的一個加強它的難度 |
transcript.whisperx[683].start |
17548.916 |
transcript.whisperx[683].end |
17550.937 |
transcript.whisperx[683].text |
楊明大學研究公路局在機車考訓政策上的努力 |
transcript.whisperx[684].start |
17567.982 |
transcript.whisperx[684].end |
17594.376 |
transcript.whisperx[684].text |
執行我們很好地去執行道路的駕訓訓練後的確我們的事故跟違規風險就會很明顯地下降那既然國內有這樣子的一個研究所以駕訓我們的駕駛訓練與否對事故的防治事實上是非常有顯著的相關性所以想問部長既然有研究的支持那你是否認同我們應該全面推動我們的駕駛訓練教育 |
transcript.whisperx[685].start |
17596.698 |
transcript.whisperx[685].end |
17613.276 |
transcript.whisperx[685].text |
這個部分我們當然是支持所以我也交代說這個機車駕訓的部分我們不管是訓前或訓後的整體這個整個駕訓我們要再加碼本來我們鼓勵的數字還要再擴大但有一個問題現在機車駕訓的部分它的駕訓班的數量 |
transcript.whisperx[686].start |
17616.679 |
transcript.whisperx[686].end |
17639.391 |
transcript.whisperx[686].text |
不一定那麼足夠那這個部分我們正在輔導一些業者可以多設置一些駕訓班這一方面二方面是我們對於駕訓的補助我們希望再擴大在明年度會再做更多的人次來鼓勵我期待部長能夠針對這個問題可是我現在有幾個問題要來跟你討論問題一這邊可以看到就是我們國內的駕訓班大概都是成本考量 |
transcript.whisperx[687].start |
17640.151 |
transcript.whisperx[687].end |
17665.638 |
transcript.whisperx[687].text |
沒有落實到法規要求的一個場地訓練跟我們的道路駕駛的訓練時數所以左手邊事實上是管理辦法裡邊去要求的可是業界的慣例可以看到很多時候師生筆跟你的法規事實上是不太一樣的授課的時數事實上也有很大的落差這是我從業界拿到的一些相關數據所以我覺得讓可能要去思考一下到底你的法規跟你到落地去 |
transcript.whisperx[688].start |
17666.378 |
transcript.whisperx[688].end |
17667.619 |
transcript.whisperx[688].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[689].start |
17687.047 |
transcript.whisperx[689].end |
17707.348 |
transcript.whisperx[689].text |
路就是不太一樣因為你要在實際的狀況裡邊能夠去跟人家互動才有辦法去了解那再來看問題3也就是我們的數科考試過於比較形式化因為除了普小客車以外其他的車種沒有道路的考驗目前只有真的事實上是小客車其他沒有還有我們的考 |
transcript.whisperx[690].start |
17708.448 |
transcript.whisperx[690].end |
17728.181 |
transcript.whisperx[690].text |
車輛的檢查考試過於形式你的一個考官問他說有沒有看到你有沒有確定他車輛到底怎麼檢查因為你要行前一定要做一些檢查可是事實上都沒有再來問題是那大客車更讓我們擔心尤其最近又發生一些大客車你事實上是有補助的 |
transcript.whisperx[691].start |
17728.641 |
transcript.whisperx[691].end |
17754.722 |
transcript.whisperx[691].text |
你有相對的訓練費用的政府補助那難道不能去要求嗎因為上禮拜我就要求我們的交通部應該對大客貨車的安全管理提出一些檢討可是有關這大客車的這樣的駕訓裡邊是不是更要站在前面去做處理可是看起來我們目前很多事實上是沒有配套的在下一頁那日本事實上他們對於我們的 |
transcript.whisperx[692].start |
17756.443 |
transcript.whisperx[692].end |
17782.738 |
transcript.whisperx[692].text |
教練的資格、場地的規格跟訓練的設施設備跟車輛不知道部長有沒有去看過其他的你的駕訓班裡面這些設施設備已經是不是老舊人家事實上是有一定規格的要求而且教練的資格是有要求的我們的教練呢事實上國中學歷跟高中學歷的不太一樣的程度只要擁有我們的所謂的要教的車種的執照五年或三年或兩年 |
transcript.whisperx[693].start |
17783.798 |
transcript.whisperx[693].end |
17810.698 |
transcript.whisperx[693].text |
可是這樣是國家級的考試甚至當然你如果是要求的言那當然你的勞動條件要好有的人才會來所以我們有沒有合理的收費可是我們又有收費的一些限制來下一頁所以我針對我們的家訓考照的制度期待你是不是政策應該先兼顧我們的胡蘿蔔與棍棒公務局是不是可以研擬具體可行的訓練規劃然後配合補助政策 |
transcript.whisperx[694].start |
17811.138 |
transcript.whisperx[694].end |
17812.6 |
transcript.whisperx[694].text |
有限公司董事長、外交部國家公園署 |
transcript.whisperx[695].start |
17830.021 |
transcript.whisperx[695].end |
17854.836 |
transcript.whisperx[695].text |
調整我們大客車的駕訓、考照制度來改善無意義的等待期間用大客車中間有個等待期間所以嚴厲相對應的值錢訓練來落實我們的道路駕駛那部長這三點可不可以兩個禮拜內提供書面來回覆因為時間的關係可以啦那我們這三點我們綜合考量兩禮拜內給委員再麻煩部長因為這件事情蠻重要謝謝部長謝謝 |
transcript.whisperx[696].start |
17858.117 |
transcript.whisperx[696].end |
17873.872 |
transcript.whisperx[696].text |
好謝謝林月琴委員好謝謝部長好接下來鄭振淺、鄭振淺、鄭振淺、鄭振淺委員不在我們張家駿、張家駿、張家駿、張家駿委員不在好我們接下來請陳冠廷委員 |
transcript.whisperx[697].start |
17889.454 |
transcript.whisperx[697].end |
17890.018 |
transcript.whisperx[697].text |
你好我們請部長好麻煩陳部長 |
transcript.whisperx[698].start |
17900.293 |
transcript.whisperx[698].end |
17923.73 |
transcript.whisperx[698].text |
部長好部長好這個上禮拜五在總預算諮詢的時候那我們有諮詢外交部次長那關於在台印之間的直航那因為疫情中斷那目前有沒有在跟外交部來討論復航的相關計畫那外交部的吳次長有說會盡快跟這個交通部討論那做一些背景資料嘛那印度他是第五大經濟體 |
transcript.whisperx[699].start |
17925.093 |
transcript.whisperx[699].end |
17952.549 |
transcript.whisperx[699].text |
臺印雙邊的貿易額從2006年的20億美元增加到2002年的109億美元所以他的這個貿易額也好或者是產業的這個我們包含我們去有些各個重要的我們企業去印度的投資那我相信他這一個成長的速度是非常快的那在這樣的成長的速度因為疫情暫時停歇的這個航線這個未來的狀況是怎麼樣是不是可以請部長簡單的跟我們回應一下 |
transcript.whisperx[700].start |
17953.289 |
transcript.whisperx[700].end |
17982.415 |
transcript.whisperx[700].text |
是 這個部分我們民航局其實有一定的了解我是不是請民航局講好 謝謝跟委員報告因為臺映的航權就是我們目前是分配給長榮跟華航那長榮是沒有直飛他是透過co-share的方式來執行那華航的部分目前是沒有計畫在做處理那所以有關航權的部分或者是鼓勵業者的部分我們目前我們會鼓勵他然後也會盡快來看看這個航權的運用怎麼做充分的運用 |
transcript.whisperx[701].start |
17983.585 |
transcript.whisperx[701].end |
18011.792 |
transcript.whisperx[701].text |
謝謝局長我必須要提醒就是雙邊的關係是越來越弱弱那特別是在這幾年印度的這個經濟成長路還有跟我國的包含學生他的這個學生的成長幅度也很快那現在已經有在臺的印度學生也好或是未來可能開放的這些技術的高科技人員也好我們去的或者是他們來的都會有很明顯幅度的成長那其實印方也有多次來跟我們 |
transcript.whisperx[702].start |
18012.392 |
transcript.whisperx[702].end |
18037.42 |
transcript.whisperx[702].text |
表示說希望有這樣的機會來加強兩國的人員之間的這樣的交流那航線特別是有直飛的話是最方便最快速的方式所以當然一切都是必須以經濟考量為主但是經濟考量不應單一指應單一航線而是必須想到兩國的經貿夥伴關係那這個部分是希望說可以來討論一下那特別提醒今年 |
transcript.whisperx[703].start |
18038.4 |
transcript.whisperx[703].end |
18059.253 |
transcript.whisperx[703].text |
應該是說去年2023年到現在有相繼的幾個在印度成立的新的辦事處在孟買的辦事處也成立了所以我認為這是一個很好的契機外交部的辦事處也對在駐印的辦事處所以這個部分還是希望說有機會的話可以跟我國的這個航空業者稍微溝通一下這樣子去討論一下 |
transcript.whisperx[704].start |
18061.015 |
transcript.whisperx[704].end |
18076.903 |
transcript.whisperx[704].text |
委員我再補充一點除了我國籍的部分以外其實我們也跟外交部跟相關單位在講印度籍的業者其實我們也非常好雙向就是這個都是我們都鼓勵那第二個部分要正式高空局局長 |
transcript.whisperx[705].start |
18082.27 |
transcript.whisperx[705].end |
18103.853 |
transcript.whisperx[705].text |
局長我在10月14日的時候質詢說在我們國道3號我們嘉義縣市現在有4個交通道偵測番路出口告示的規劃那我這邊先肯定一下就是上週已經有回復到那會在我們國道3號中埔交通南向北向的出口那邊來去偵測這個直立型的番路的地名的這個指示標誌 |
transcript.whisperx[706].start |
18104.614 |
transcript.whisperx[706].end |
18130.183 |
transcript.whisperx[706].text |
那今年年底就會完成那我們其實不僅僅是翻入鄉是整個山區的鄉長都非常感謝因為在這近三四年來自從疫情結束之後那我們整個大阿里山地區那經過翻入的這個不管是各種節慶活動那確實是需要這樣子適當的標示那有這樣的標示會讓用路人特別是從外縣市來的人能夠更快速的找到 |
transcript.whisperx[707].start |
18131.304 |
transcript.whisperx[707].end |
18134.967 |
transcript.whisperx[707].text |
有限公司董事長、臺灣港務股份有限公司董事長、外交部國家公園署 |
transcript.whisperx[708].start |
18152.284 |
transcript.whisperx[708].end |
18155.486 |
transcript.whisperx[708].text |
這部分我還是認為說大致同意啦但是我們還是認為不要把地名標誌在超車道上面 |
transcript.whisperx[709].start |
18179.124 |
transcript.whisperx[709].end |
18182.809 |
transcript.whisperx[709].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[710].start |
18191.844 |
transcript.whisperx[710].end |
18217.444 |
transcript.whisperx[710].text |
主要是方向性的一個部分那是按次序來就交流道的位置的次序這樣擺的那不是說對應的說你要走哪個車道才能到哪一個地方對我的意思是說像比方說我們在梅山竹崎就是有民眾來反映說他們會誤以為超車道就是在那一個出口那我是說有沒有可能在視覺設置上面來再去做改進依照你們的專業意見為準然後是把民眾的反應來跟大家說明一下我們了解 |
transcript.whisperx[711].start |
18218.324 |
transcript.whisperx[711].end |
18241.323 |
transcript.whisperx[711].text |
這個應該要檢討一下趙偉是不是可以再一分鐘最後一個問題好謝謝趙偉那最後是跟台鐵相關喔那台鐵時刻資訊喔那我想請董事長來簡單的來回應一下那這個主題我們今天的主題是優化國旅的體驗但是現在台北之戰越台今年更新的台鐵的系統資訊叫做這個Train Information Display System |
transcript.whisperx[712].start |
18241.983 |
transcript.whisperx[712].end |
18251.831 |
transcript.whisperx[712].text |
那很多民眾他們在講到這個視覺效果比方說這個閱讀不易他的中文的字眼只給16乘以16的燈泡那這是一個部分那對於這些 |
transcript.whisperx[713].start |
18253.581 |
transcript.whisperx[713].end |
18280.099 |
transcript.whisperx[713].text |
對於眼睛比較不好的民眾他們可能很難去看清楚說為什麼有襯現的字體又在這麼小的這個顯示區域裡面他的這個視覺的方面可能我們是希望說未來台鐵可以再檢討一下調整是不是調整版面調整字體大小或者是用不同的顏色加注那特別是不開放站票的圖示是不是也要來標誌上去這個部分是有很多民眾在反映我們是希望說有機會的話來去檢討一下這個顯示器的狀況 |
transcript.whisperx[714].start |
18284.442 |
transcript.whisperx[714].end |
18303.94 |
transcript.whisperx[714].text |
好 這個跟委員報告我們有在持續在檢討 我們會來做改進好 謝謝好 謝謝陳冠廷委員 謝謝部長洪孟凱 洪孟凱 洪孟凱 洪孟凱委員不在下一位蘇清泉 蘇清泉 蘇清泉蘇清泉委員不在 |
transcript.whisperx[715].start |
18305.271 |
transcript.whisperx[715].end |
18330.065 |
transcript.whisperx[715].text |
黃珊珊、黃珊珊、黃珊珊、黃珊珊委員不在紅生漢、紅生漢、紅生漢、紅生漢委員不在高金素梅、高金素梅、高金素梅、高金素梅委員不在王美惠、王美惠、王美惠、王美惠委員不在賴瑞龍、賴瑞龍、賴瑞龍、賴瑞龍委員不在我們接下來請黃國昌委員 |
transcript.whisperx[716].start |
18340.727 |
transcript.whisperx[716].end |
18342.839 |
transcript.whisperx[716].text |
信樂主席麻煩有請部長好麻煩部長 |
transcript.whisperx[717].start |
18352.453 |
transcript.whisperx[717].end |
18378.032 |
transcript.whisperx[717].text |
部長第一個事情比較簡單就是9月26、10月14、10月23號三次質詢我們都有說可能要麻煩交通部的同仁給我一些資料我一直追到今天早上都沒有提供我覺得不要把質詢的時間花在要資料上這真的是情何以堪真的是情何以堪我相信部長可以接受第二個事情是說 |
transcript.whisperx[718].start |
18379.173 |
transcript.whisperx[718].end |
18397.025 |
transcript.whisperx[718].text |
我覺得行政立法部門大家良心互動你們做了承諾我相信你們的承諾就請履行承諾答應要給又沒有給我到今天早上還是沒拿到這樣不好了是不是可以拜託部長回去注意跟他們說明一下就是說 |
transcript.whisperx[719].start |
18398.145 |
transcript.whisperx[719].end |
18418.674 |
transcript.whisperx[719].text |
該給的要給要不然這樣以後大家互動起來關係會越來越惡劣我相信也不是部長希望看到的啦有一個事情我覺得對部長來講我不知道部長是不是很熟悉但我很熟悉我特別要幫這些車主請命我第一次2016到2020那個時候在 |
transcript.whisperx[720].start |
18422.015 |
transcript.whisperx[720].end |
18432.101 |
transcript.whisperx[720].text |
擔任立委的時候我就接到很多馬自達車主的抗議啦花了上百萬結果買到一台車問題一堆車子開一半結果 |
transcript.whisperx[721].start |
18434.039 |
transcript.whisperx[721].end |
18457.821 |
transcript.whisperx[721].text |
水箱、引擎問題一堆甚至會出現爆炸的狀況對於行車安全影響非常的大那時候那一群車主憤怒到什麼程度來我特別貼當年的照片給部長看去行政院抗議甚至後來火大上凱道那個時候我有質詢了我們當初的交通部部長林佳龍林部長然後林部長說 |
transcript.whisperx[722].start |
18459.853 |
transcript.whisperx[722].end |
18481.36 |
transcript.whisperx[722].text |
算了他前面第一次回答我的時候我問他說他願不願意負起責任進行安全性的調查他說他要釐清嘛那第二次在質詢的時候啊那個陳司長文瑞應該就是您站在您旁邊的這一位吧是陳文瑞嗎陳文瑞在那邊在那邊嘛那個陳司長文瑞你還記不記得那時候我質詢這件事啊 |
transcript.whisperx[723].start |
18482.04 |
transcript.whisperx[723].end |
18500.682 |
transcript.whisperx[723].text |
所以要在國會殿堂承諾啊哇你那時候講得很有魄力啊你講什麼來我唸給你聽啊車商要提出第二次召回改正的計畫確保有效性除了更換軟體程式沒有辦法修復就要更換引擎啊市長那時候我聽你講這句話我好感動啊 |
transcript.whisperx[724].start |
18501.443 |
transcript.whisperx[724].end |
18524.995 |
transcript.whisperx[724].text |
終於有一個有魄力的行政官員在國會殿堂對所有馬自達的車主啊做這樣子的宣示啊大家聽了都很感動啊但是感動完是什麼啊來我再帶大家看一下結果咧馬自達接下來的召回承諾跳票跳票到今天喔2024年喔 |
transcript.whisperx[725].start |
18527.264 |
transcript.whisperx[725].end |
18555.471 |
transcript.whisperx[725].text |
依舊故障沒有辦法結案今年我們審預算的時候我還特別去看了車安中心的預算車安中心一年預算好幾億裡面的車輛安全計畫還是有包括馬自達所有的車主現在陷入迷惘我們政府的承諾到底算不算數部長我剛剛聽您在旁邊的部署交投結合我相信這應該是你第一次碰到的事情你花一點時間回去了解一下好不好 |
transcript.whisperx[726].start |
18556.035 |
transcript.whisperx[726].end |
18580.313 |
transcript.whisperx[726].text |
他目前應該是有召回啦但是召回之後很像該處理沒有啦部長我這樣跟你講好了啦因為你第一次碰到這個問題如果問題太尖銳的話對你也不公平你回去瞭解一下實際的狀況所謂有召回是我們所謂的lip servicelip service就是出一張嘴動一動如果他真的有做到的話今天不會有這麼多 |
transcript.whisperx[727].start |
18580.993 |
transcript.whisperx[727].end |
18607.486 |
transcript.whisperx[727].text |
一定是有召回沒解決問題是是是不會有這麼多憤怒的車主嘛那個我相信當初很有氣魄做這個承諾的那個陳文睿司長他一定會給你更多背景的資訊我們今天第一次我針對馬自達的這個事情我跟部長報告我幫這些可憐的車主陳情因為有很多齁其實是年輕人跟中產階級 |
transcript.whisperx[728].start |
18609.195 |
transcript.whisperx[728].end |
18632.693 |
transcript.whisperx[728].text |
年輕人跟中產階級是花一百多萬去買一台車大概有很多可能都超過他的年輕人啦大家要省吃減用甚至分期付款結果買到一台車沒有辦法解決新的問題對他們生活所造成的困擾、障礙跟影響到現在沒有辦法解決一個車主 |
transcript.whisperx[729].start |
18635.836 |
transcript.whisperx[729].end |
18638.841 |
transcript.whisperx[729].text |
各一個大車廂小蝦米對大鯨魚兩者之間 |
transcript.whisperx[730].start |
18642.202 |
transcript.whisperx[730].end |
18664.835 |
transcript.whisperx[730].text |
在各方面的條件完全沒有辦法相比所以這些車主為什麼會希望我們的交通部要出來主持公道特別是什麼特別是我們還有車安中心車安中心裡面的計畫召回改正的監督、安全性的分析、瑕疵的調查在跟立法院要預算的時候白紙黑字都這樣寫 |
transcript.whisperx[731].start |
18666.158 |
transcript.whisperx[731].end |
18688.246 |
transcript.whisperx[731].text |
但你不可以白紙黑字跟立法院要預算說這些我都要做實際都沒有做當你實際都沒有做的時候這些可憐無辜受害的車主就會來問我們立法委員所以你們預算在省什麼東西你給他預算說要做這些事情結果通通都沒有做搞到現在這些車主欲哭無淚因為 |
transcript.whisperx[732].start |
18691.004 |
transcript.whisperx[732].end |
18720.339 |
transcript.whisperx[732].text |
第一次把這個問題搬到檯面上請教部長那麻煩部長回去了解一下這個事情的狀況接下來要怎麼解決一個禮拜之內書面文回覆我可以嗎可以啊可以可以一個禮拜之內這次沒有問題了嗎沒有問題好謝謝好謝謝委員好謝謝黃國昌委員好謝謝部長陳金威陳金威陳金威陳金威委員不在 |
transcript.whisperx[733].start |
18724.404 |
transcript.whisperx[733].end |
18745.376 |
transcript.whisperx[733].text |
葉元之葉元之葉元之葉元之委員不在李柏毅李柏毅李柏毅李柏毅委員不在登記執行委員拘禁發言完畢做以下決定一報告及答詢完畢 |
transcript.whisperx[734].start |
18746.653 |
transcript.whisperx[734].end |
18761.746 |
transcript.whisperx[734].text |
二、委員林倩琦、黃建豪所提書面質詢列入記錄並刊登公報三、委員於質詢中要求提供相關書面資料或未及答覆部分請相關機關盡速以書面答覆本次會議到此結束現在散會 |
transcript.whisperx[735].start |
18767.985 |
transcript.whisperx[735].end |
18772.707 |
transcript.whisperx[735].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園 |
transcript.whisperx[736].start |
18791.274 |
transcript.whisperx[736].end |
18795.816 |
transcript.whisperx[736].text |
有限公司董事長、外交部國家公園署有限公司董事長、外交部國家公園署 |
transcript.whisperx[737].start |
18818.728 |
transcript.whisperx[737].end |
18821.956 |
transcript.whisperx[737].text |
有限公司董事長、外交部國家公園署 |
IVOD_ID |
16225 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16225 |
日期 |
2024-11-04 |
會議資料.會議代碼 |
委員會-11-2-23-8 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
8 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
23 |
會議資料.標題 |
第11屆第2會期交通委員會第8次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-11-04T08:30:34+08:00 |
結束時間 |
2024-11-04T13:43:00+08:00 |
支援功能[0] |
ai-transcript |