IVOD_ID |
16170 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16170 |
日期 |
2024-10-16 |
會議資料.會議代碼 |
委員會-11-2-20-2 |
會議資料.會議代碼:str |
第11屆第2會期財政委員會第2次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
2 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第2會期財政委員會第2次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-10-16T08:31:02+08:00 |
結束時間 |
2024-10-16T13:01:00+08:00 |
影片長度 |
04:29:58 |
支援功能[0] |
ai-transcript |
委員名稱 |
完整會議 |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528eea391e62378ca0232042dc10dca82677c04c64b87e30630add8109690a6ce5565ea18f28b6918d91.mp4/playlist.m3u8 |
transcript.pyannote[0].speaker |
SPEAKER_06 |
transcript.pyannote[0].start |
1787.48159375 |
transcript.pyannote[0].end |
1789.03409375 |
transcript.pyannote[1].speaker |
SPEAKER_10 |
transcript.pyannote[1].start |
1790.68784375 |
transcript.pyannote[1].end |
1797.20159375 |
transcript.pyannote[2].speaker |
SPEAKER_10 |
transcript.pyannote[2].start |
1797.62346875 |
transcript.pyannote[2].end |
1798.70346875 |
transcript.pyannote[3].speaker |
SPEAKER_10 |
transcript.pyannote[3].start |
1798.95659375 |
transcript.pyannote[3].end |
1805.79096875 |
transcript.pyannote[4].speaker |
SPEAKER_10 |
transcript.pyannote[4].start |
1806.33096875 |
transcript.pyannote[4].end |
1806.44909375 |
transcript.pyannote[5].speaker |
SPEAKER_21 |
transcript.pyannote[5].start |
1806.44909375 |
transcript.pyannote[5].end |
1839.06846875 |
transcript.pyannote[6].speaker |
SPEAKER_21 |
transcript.pyannote[6].start |
1839.60846875 |
transcript.pyannote[6].end |
1857.44534375 |
transcript.pyannote[7].speaker |
SPEAKER_21 |
transcript.pyannote[7].start |
1857.85034375 |
transcript.pyannote[7].end |
1858.64346875 |
transcript.pyannote[8].speaker |
SPEAKER_21 |
transcript.pyannote[8].start |
1859.18346875 |
transcript.pyannote[8].end |
1881.39096875 |
transcript.pyannote[9].speaker |
SPEAKER_10 |
transcript.pyannote[9].start |
1882.09971875 |
transcript.pyannote[9].end |
1886.68971875 |
transcript.pyannote[10].speaker |
SPEAKER_10 |
transcript.pyannote[10].start |
1887.29721875 |
transcript.pyannote[10].end |
1893.67596875 |
transcript.pyannote[11].speaker |
SPEAKER_21 |
transcript.pyannote[11].start |
1893.97971875 |
transcript.pyannote[11].end |
1894.50284375 |
transcript.pyannote[12].speaker |
SPEAKER_21 |
transcript.pyannote[12].start |
1895.54909375 |
transcript.pyannote[12].end |
1924.75971875 |
transcript.pyannote[13].speaker |
SPEAKER_21 |
transcript.pyannote[13].start |
1924.87784375 |
transcript.pyannote[13].end |
1931.23971875 |
transcript.pyannote[14].speaker |
SPEAKER_21 |
transcript.pyannote[14].start |
1932.42096875 |
transcript.pyannote[14].end |
1938.31034375 |
transcript.pyannote[15].speaker |
SPEAKER_10 |
transcript.pyannote[15].start |
1939.23846875 |
transcript.pyannote[15].end |
1940.99346875 |
transcript.pyannote[16].speaker |
SPEAKER_10 |
transcript.pyannote[16].start |
1942.02284375 |
transcript.pyannote[16].end |
1948.99221875 |
transcript.pyannote[17].speaker |
SPEAKER_10 |
transcript.pyannote[17].start |
1952.04659375 |
transcript.pyannote[17].end |
1955.18534375 |
transcript.pyannote[18].speaker |
SPEAKER_10 |
transcript.pyannote[18].start |
1958.64471875 |
transcript.pyannote[18].end |
1960.95659375 |
transcript.pyannote[19].speaker |
SPEAKER_10 |
transcript.pyannote[19].start |
1962.96471875 |
transcript.pyannote[19].end |
1965.24284375 |
transcript.pyannote[20].speaker |
SPEAKER_10 |
transcript.pyannote[20].start |
1967.14971875 |
transcript.pyannote[20].end |
1971.08159375 |
transcript.pyannote[21].speaker |
SPEAKER_10 |
transcript.pyannote[21].start |
1973.83221875 |
transcript.pyannote[21].end |
1974.97971875 |
transcript.pyannote[22].speaker |
SPEAKER_10 |
transcript.pyannote[22].start |
1975.40159375 |
transcript.pyannote[22].end |
1977.91596875 |
transcript.pyannote[23].speaker |
SPEAKER_10 |
transcript.pyannote[23].start |
1980.31221875 |
transcript.pyannote[23].end |
1984.00784375 |
transcript.pyannote[24].speaker |
SPEAKER_10 |
transcript.pyannote[24].start |
1987.07909375 |
transcript.pyannote[24].end |
1990.21784375 |
transcript.pyannote[25].speaker |
SPEAKER_10 |
transcript.pyannote[25].start |
1993.32284375 |
transcript.pyannote[25].end |
1996.91721875 |
transcript.pyannote[26].speaker |
SPEAKER_10 |
transcript.pyannote[26].start |
2000.07284375 |
transcript.pyannote[26].end |
2003.49846875 |
transcript.pyannote[27].speaker |
SPEAKER_10 |
transcript.pyannote[27].start |
2006.13096875 |
transcript.pyannote[27].end |
2008.52721875 |
transcript.pyannote[28].speaker |
SPEAKER_10 |
transcript.pyannote[28].start |
2011.26096875 |
transcript.pyannote[28].end |
2015.41221875 |
transcript.pyannote[29].speaker |
SPEAKER_10 |
transcript.pyannote[29].start |
2017.47096875 |
transcript.pyannote[29].end |
2019.24284375 |
transcript.pyannote[30].speaker |
SPEAKER_10 |
transcript.pyannote[30].start |
2021.40284375 |
transcript.pyannote[30].end |
2023.25909375 |
transcript.pyannote[31].speaker |
SPEAKER_10 |
transcript.pyannote[31].start |
2025.72284375 |
transcript.pyannote[31].end |
2027.61284375 |
transcript.pyannote[32].speaker |
SPEAKER_10 |
transcript.pyannote[32].start |
2028.92909375 |
transcript.pyannote[32].end |
2030.59971875 |
transcript.pyannote[33].speaker |
SPEAKER_10 |
transcript.pyannote[33].start |
2033.14784375 |
transcript.pyannote[33].end |
2040.26909375 |
transcript.pyannote[34].speaker |
SPEAKER_10 |
transcript.pyannote[34].start |
2040.89346875 |
transcript.pyannote[34].end |
2046.24284375 |
transcript.pyannote[35].speaker |
SPEAKER_10 |
transcript.pyannote[35].start |
2048.06534375 |
transcript.pyannote[35].end |
2050.34346875 |
transcript.pyannote[36].speaker |
SPEAKER_10 |
transcript.pyannote[36].start |
2052.50346875 |
transcript.pyannote[36].end |
2054.46096875 |
transcript.pyannote[37].speaker |
SPEAKER_10 |
transcript.pyannote[37].start |
2056.99221875 |
transcript.pyannote[37].end |
2058.03846875 |
transcript.pyannote[38].speaker |
SPEAKER_10 |
transcript.pyannote[38].start |
2058.25784375 |
transcript.pyannote[38].end |
2059.23659375 |
transcript.pyannote[39].speaker |
SPEAKER_10 |
transcript.pyannote[39].start |
2061.70034375 |
transcript.pyannote[39].end |
2064.04596875 |
transcript.pyannote[40].speaker |
SPEAKER_10 |
transcript.pyannote[40].start |
2066.76284375 |
transcript.pyannote[40].end |
2069.49659375 |
transcript.pyannote[41].speaker |
SPEAKER_10 |
transcript.pyannote[41].start |
2071.65659375 |
transcript.pyannote[41].end |
2072.09534375 |
transcript.pyannote[42].speaker |
SPEAKER_10 |
transcript.pyannote[42].start |
2072.58471875 |
transcript.pyannote[42].end |
2075.06534375 |
transcript.pyannote[43].speaker |
SPEAKER_10 |
transcript.pyannote[43].start |
2076.04409375 |
transcript.pyannote[43].end |
2076.31409375 |
transcript.pyannote[44].speaker |
SPEAKER_10 |
transcript.pyannote[44].start |
2077.02284375 |
transcript.pyannote[44].end |
2078.00159375 |
transcript.pyannote[45].speaker |
SPEAKER_10 |
transcript.pyannote[45].start |
2078.55846875 |
transcript.pyannote[45].end |
2080.88721875 |
transcript.pyannote[46].speaker |
SPEAKER_10 |
transcript.pyannote[46].start |
2081.15721875 |
transcript.pyannote[46].end |
2083.23284375 |
transcript.pyannote[47].speaker |
SPEAKER_10 |
transcript.pyannote[47].start |
2087.33346875 |
transcript.pyannote[47].end |
2089.78034375 |
transcript.pyannote[48].speaker |
SPEAKER_10 |
transcript.pyannote[48].start |
2089.86471875 |
transcript.pyannote[48].end |
2090.79284375 |
transcript.pyannote[49].speaker |
SPEAKER_10 |
transcript.pyannote[49].start |
2091.13034375 |
transcript.pyannote[49].end |
2093.61096875 |
transcript.pyannote[50].speaker |
SPEAKER_10 |
transcript.pyannote[50].start |
2096.58096875 |
transcript.pyannote[50].end |
2099.16284375 |
transcript.pyannote[51].speaker |
SPEAKER_10 |
transcript.pyannote[51].start |
2101.50846875 |
transcript.pyannote[51].end |
2103.78659375 |
transcript.pyannote[52].speaker |
SPEAKER_10 |
transcript.pyannote[52].start |
2107.24596875 |
transcript.pyannote[52].end |
2108.73096875 |
transcript.pyannote[53].speaker |
SPEAKER_10 |
transcript.pyannote[53].start |
2109.10221875 |
transcript.pyannote[53].end |
2112.49409375 |
transcript.pyannote[54].speaker |
SPEAKER_10 |
transcript.pyannote[54].start |
2114.18159375 |
transcript.pyannote[54].end |
2116.62846875 |
transcript.pyannote[55].speaker |
SPEAKER_10 |
transcript.pyannote[55].start |
2119.14284375 |
transcript.pyannote[55].end |
2120.35784375 |
transcript.pyannote[56].speaker |
SPEAKER_10 |
transcript.pyannote[56].start |
2120.77971875 |
transcript.pyannote[56].end |
2124.44159375 |
transcript.pyannote[57].speaker |
SPEAKER_10 |
transcript.pyannote[57].start |
2127.64784375 |
transcript.pyannote[57].end |
2130.26346875 |
transcript.pyannote[58].speaker |
SPEAKER_10 |
transcript.pyannote[58].start |
2132.30534375 |
transcript.pyannote[58].end |
2132.92971875 |
transcript.pyannote[59].speaker |
SPEAKER_10 |
transcript.pyannote[59].start |
2132.94659375 |
transcript.pyannote[59].end |
2133.01409375 |
transcript.pyannote[60].speaker |
SPEAKER_10 |
transcript.pyannote[60].start |
2133.08159375 |
transcript.pyannote[60].end |
2136.25409375 |
transcript.pyannote[61].speaker |
SPEAKER_10 |
transcript.pyannote[61].start |
2136.99659375 |
transcript.pyannote[61].end |
2140.48971875 |
transcript.pyannote[62].speaker |
SPEAKER_10 |
transcript.pyannote[62].start |
2140.86096875 |
transcript.pyannote[62].end |
2142.49784375 |
transcript.pyannote[63].speaker |
SPEAKER_10 |
transcript.pyannote[63].start |
2144.23596875 |
transcript.pyannote[63].end |
2147.07096875 |
transcript.pyannote[64].speaker |
SPEAKER_10 |
transcript.pyannote[64].start |
2149.90596875 |
transcript.pyannote[64].end |
2153.55096875 |
transcript.pyannote[65].speaker |
SPEAKER_10 |
transcript.pyannote[65].start |
2155.72784375 |
transcript.pyannote[65].end |
2157.58409375 |
transcript.pyannote[66].speaker |
SPEAKER_10 |
transcript.pyannote[66].start |
2157.95534375 |
transcript.pyannote[66].end |
2160.04784375 |
transcript.pyannote[67].speaker |
SPEAKER_10 |
transcript.pyannote[67].start |
2160.09846875 |
transcript.pyannote[67].end |
2163.96284375 |
transcript.pyannote[68].speaker |
SPEAKER_10 |
transcript.pyannote[68].start |
2165.86971875 |
transcript.pyannote[68].end |
2168.94096875 |
transcript.pyannote[69].speaker |
SPEAKER_10 |
transcript.pyannote[69].start |
2172.19784375 |
transcript.pyannote[69].end |
2177.05784375 |
transcript.pyannote[70].speaker |
SPEAKER_10 |
transcript.pyannote[70].start |
2178.05346875 |
transcript.pyannote[70].end |
2182.69409375 |
transcript.pyannote[71].speaker |
SPEAKER_10 |
transcript.pyannote[71].start |
2182.76159375 |
transcript.pyannote[71].end |
2187.01409375 |
transcript.pyannote[72].speaker |
SPEAKER_10 |
transcript.pyannote[72].start |
2189.24159375 |
transcript.pyannote[72].end |
2192.78534375 |
transcript.pyannote[73].speaker |
SPEAKER_10 |
transcript.pyannote[73].start |
2195.46846875 |
transcript.pyannote[73].end |
2198.42159375 |
transcript.pyannote[74].speaker |
SPEAKER_10 |
transcript.pyannote[74].start |
2201.44221875 |
transcript.pyannote[74].end |
2204.22659375 |
transcript.pyannote[75].speaker |
SPEAKER_10 |
transcript.pyannote[75].start |
2207.43284375 |
transcript.pyannote[75].end |
2211.24659375 |
transcript.pyannote[76].speaker |
SPEAKER_10 |
transcript.pyannote[76].start |
2213.74409375 |
transcript.pyannote[76].end |
2216.20784375 |
transcript.pyannote[77].speaker |
SPEAKER_10 |
transcript.pyannote[77].start |
2220.44346875 |
transcript.pyannote[77].end |
2224.96596875 |
transcript.pyannote[78].speaker |
SPEAKER_10 |
transcript.pyannote[78].start |
2228.13846875 |
transcript.pyannote[78].end |
2230.07909375 |
transcript.pyannote[79].speaker |
SPEAKER_10 |
transcript.pyannote[79].start |
2232.66096875 |
transcript.pyannote[79].end |
2236.89659375 |
transcript.pyannote[80].speaker |
SPEAKER_10 |
transcript.pyannote[80].start |
2240.01846875 |
transcript.pyannote[80].end |
2243.66346875 |
transcript.pyannote[81].speaker |
SPEAKER_10 |
transcript.pyannote[81].start |
2246.34659375 |
transcript.pyannote[81].end |
2249.18159375 |
transcript.pyannote[82].speaker |
SPEAKER_10 |
transcript.pyannote[82].start |
2252.32034375 |
transcript.pyannote[82].end |
2253.43409375 |
transcript.pyannote[83].speaker |
SPEAKER_10 |
transcript.pyannote[83].start |
2253.65346875 |
transcript.pyannote[83].end |
2256.72471875 |
transcript.pyannote[84].speaker |
SPEAKER_10 |
transcript.pyannote[84].start |
2259.45846875 |
transcript.pyannote[84].end |
2260.80846875 |
transcript.pyannote[85].speaker |
SPEAKER_10 |
transcript.pyannote[85].start |
2263.66034375 |
transcript.pyannote[85].end |
2268.09846875 |
transcript.pyannote[86].speaker |
SPEAKER_10 |
transcript.pyannote[86].start |
2271.76034375 |
transcript.pyannote[86].end |
2277.12659375 |
transcript.pyannote[87].speaker |
SPEAKER_10 |
transcript.pyannote[87].start |
2278.54409375 |
transcript.pyannote[87].end |
2282.67846875 |
transcript.pyannote[88].speaker |
SPEAKER_10 |
transcript.pyannote[88].start |
2282.99909375 |
transcript.pyannote[88].end |
2286.40784375 |
transcript.pyannote[89].speaker |
SPEAKER_10 |
transcript.pyannote[89].start |
2287.01534375 |
transcript.pyannote[89].end |
2288.26409375 |
transcript.pyannote[90].speaker |
SPEAKER_10 |
transcript.pyannote[90].start |
2291.60534375 |
transcript.pyannote[90].end |
2296.29659375 |
transcript.pyannote[91].speaker |
SPEAKER_10 |
transcript.pyannote[91].start |
2296.70159375 |
transcript.pyannote[91].end |
2297.62971875 |
transcript.pyannote[92].speaker |
SPEAKER_10 |
transcript.pyannote[92].start |
2300.80221875 |
transcript.pyannote[92].end |
2306.99534375 |
transcript.pyannote[93].speaker |
SPEAKER_10 |
transcript.pyannote[93].start |
2310.74159375 |
transcript.pyannote[93].end |
2315.83784375 |
transcript.pyannote[94].speaker |
SPEAKER_10 |
transcript.pyannote[94].start |
2320.17471875 |
transcript.pyannote[94].end |
2323.41471875 |
transcript.pyannote[95].speaker |
SPEAKER_10 |
transcript.pyannote[95].start |
2327.11034375 |
transcript.pyannote[95].end |
2331.21096875 |
transcript.pyannote[96].speaker |
SPEAKER_10 |
transcript.pyannote[96].start |
2333.72534375 |
transcript.pyannote[96].end |
2335.49721875 |
transcript.pyannote[97].speaker |
SPEAKER_10 |
transcript.pyannote[97].start |
2335.91909375 |
transcript.pyannote[97].end |
2336.94846875 |
transcript.pyannote[98].speaker |
SPEAKER_10 |
transcript.pyannote[98].start |
2341.23471875 |
transcript.pyannote[98].end |
2344.03596875 |
transcript.pyannote[99].speaker |
SPEAKER_10 |
transcript.pyannote[99].start |
2347.32659375 |
transcript.pyannote[99].end |
2351.29221875 |
transcript.pyannote[100].speaker |
SPEAKER_10 |
transcript.pyannote[100].start |
2352.37221875 |
transcript.pyannote[100].end |
2363.54346875 |
transcript.pyannote[101].speaker |
SPEAKER_10 |
transcript.pyannote[101].start |
2366.19284375 |
transcript.pyannote[101].end |
2368.15034375 |
transcript.pyannote[102].speaker |
SPEAKER_10 |
transcript.pyannote[102].start |
2370.59721875 |
transcript.pyannote[102].end |
2372.40284375 |
transcript.pyannote[103].speaker |
SPEAKER_05 |
transcript.pyannote[103].start |
2373.85409375 |
transcript.pyannote[103].end |
2374.20846875 |
transcript.pyannote[104].speaker |
SPEAKER_10 |
transcript.pyannote[104].start |
2374.68096875 |
transcript.pyannote[104].end |
2377.22909375 |
transcript.pyannote[105].speaker |
SPEAKER_05 |
transcript.pyannote[105].start |
2378.00534375 |
transcript.pyannote[105].end |
2378.03909375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
2378.03909375 |
transcript.pyannote[106].end |
2379.32159375 |
transcript.pyannote[107].speaker |
SPEAKER_10 |
transcript.pyannote[107].start |
2379.67596875 |
transcript.pyannote[107].end |
2388.45096875 |
transcript.pyannote[108].speaker |
SPEAKER_10 |
transcript.pyannote[108].start |
2390.54346875 |
transcript.pyannote[108].end |
2392.21409375 |
transcript.pyannote[109].speaker |
SPEAKER_10 |
transcript.pyannote[109].start |
2396.09534375 |
transcript.pyannote[109].end |
2396.53409375 |
transcript.pyannote[110].speaker |
SPEAKER_10 |
transcript.pyannote[110].start |
2397.22596875 |
transcript.pyannote[110].end |
2404.60034375 |
transcript.pyannote[111].speaker |
SPEAKER_10 |
transcript.pyannote[111].start |
2405.00534375 |
transcript.pyannote[111].end |
2410.20284375 |
transcript.pyannote[112].speaker |
SPEAKER_10 |
transcript.pyannote[112].start |
2410.67534375 |
transcript.pyannote[112].end |
2414.01659375 |
transcript.pyannote[113].speaker |
SPEAKER_10 |
transcript.pyannote[113].start |
2414.42159375 |
transcript.pyannote[113].end |
2415.97409375 |
transcript.pyannote[114].speaker |
SPEAKER_10 |
transcript.pyannote[114].start |
2416.53096875 |
transcript.pyannote[114].end |
2431.00971875 |
transcript.pyannote[115].speaker |
SPEAKER_10 |
transcript.pyannote[115].start |
2431.43159375 |
transcript.pyannote[115].end |
2438.82284375 |
transcript.pyannote[116].speaker |
SPEAKER_10 |
transcript.pyannote[116].start |
2439.24471875 |
transcript.pyannote[116].end |
2442.14721875 |
transcript.pyannote[117].speaker |
SPEAKER_10 |
transcript.pyannote[117].start |
2442.46784375 |
transcript.pyannote[117].end |
2450.60159375 |
transcript.pyannote[118].speaker |
SPEAKER_05 |
transcript.pyannote[118].start |
2450.41596875 |
transcript.pyannote[118].end |
2454.71909375 |
transcript.pyannote[119].speaker |
SPEAKER_10 |
transcript.pyannote[119].start |
2454.85409375 |
transcript.pyannote[119].end |
2459.86596875 |
transcript.pyannote[120].speaker |
SPEAKER_10 |
transcript.pyannote[120].start |
2460.22034375 |
transcript.pyannote[120].end |
2461.85721875 |
transcript.pyannote[121].speaker |
SPEAKER_10 |
transcript.pyannote[121].start |
2462.32971875 |
transcript.pyannote[121].end |
2463.83159375 |
transcript.pyannote[122].speaker |
SPEAKER_10 |
transcript.pyannote[122].start |
2464.33784375 |
transcript.pyannote[122].end |
2469.46784375 |
transcript.pyannote[123].speaker |
SPEAKER_10 |
transcript.pyannote[123].start |
2469.68721875 |
transcript.pyannote[123].end |
2472.85971875 |
transcript.pyannote[124].speaker |
SPEAKER_10 |
transcript.pyannote[124].start |
2475.15471875 |
transcript.pyannote[124].end |
2476.63971875 |
transcript.pyannote[125].speaker |
SPEAKER_09 |
transcript.pyannote[125].start |
2481.34784375 |
transcript.pyannote[125].end |
2483.76096875 |
transcript.pyannote[126].speaker |
SPEAKER_09 |
transcript.pyannote[126].start |
2484.04784375 |
transcript.pyannote[126].end |
2538.80721875 |
transcript.pyannote[127].speaker |
SPEAKER_09 |
transcript.pyannote[127].start |
2539.95471875 |
transcript.pyannote[127].end |
2562.16221875 |
transcript.pyannote[128].speaker |
SPEAKER_09 |
transcript.pyannote[128].start |
2562.63471875 |
transcript.pyannote[128].end |
2578.05846875 |
transcript.pyannote[129].speaker |
SPEAKER_09 |
transcript.pyannote[129].start |
2578.48034375 |
transcript.pyannote[129].end |
2609.15909375 |
transcript.pyannote[130].speaker |
SPEAKER_09 |
transcript.pyannote[130].start |
2610.15471875 |
transcript.pyannote[130].end |
2614.86284375 |
transcript.pyannote[131].speaker |
SPEAKER_09 |
transcript.pyannote[131].start |
2614.94721875 |
transcript.pyannote[131].end |
2625.15659375 |
transcript.pyannote[132].speaker |
SPEAKER_09 |
transcript.pyannote[132].start |
2625.59534375 |
transcript.pyannote[132].end |
2627.11409375 |
transcript.pyannote[133].speaker |
SPEAKER_09 |
transcript.pyannote[133].start |
2627.53596875 |
transcript.pyannote[133].end |
2637.32346875 |
transcript.pyannote[134].speaker |
SPEAKER_09 |
transcript.pyannote[134].start |
2637.74534375 |
transcript.pyannote[134].end |
2694.71534375 |
transcript.pyannote[135].speaker |
SPEAKER_09 |
transcript.pyannote[135].start |
2694.85034375 |
transcript.pyannote[135].end |
2737.45971875 |
transcript.pyannote[136].speaker |
SPEAKER_09 |
transcript.pyannote[136].start |
2737.71284375 |
transcript.pyannote[136].end |
2767.76721875 |
transcript.pyannote[137].speaker |
SPEAKER_09 |
transcript.pyannote[137].start |
2768.91471875 |
transcript.pyannote[137].end |
2805.92159375 |
transcript.pyannote[138].speaker |
SPEAKER_09 |
transcript.pyannote[138].start |
2806.24221875 |
transcript.pyannote[138].end |
2866.55346875 |
transcript.pyannote[139].speaker |
SPEAKER_09 |
transcript.pyannote[139].start |
2866.80659375 |
transcript.pyannote[139].end |
2879.85096875 |
transcript.pyannote[140].speaker |
SPEAKER_09 |
transcript.pyannote[140].start |
2880.05346875 |
transcript.pyannote[140].end |
2881.53846875 |
transcript.pyannote[141].speaker |
SPEAKER_09 |
transcript.pyannote[141].start |
2881.72409375 |
transcript.pyannote[141].end |
2946.65909375 |
transcript.pyannote[142].speaker |
SPEAKER_09 |
transcript.pyannote[142].start |
2946.72659375 |
transcript.pyannote[142].end |
2946.82784375 |
transcript.pyannote[143].speaker |
SPEAKER_09 |
transcript.pyannote[143].start |
2947.16534375 |
transcript.pyannote[143].end |
2951.23221875 |
transcript.pyannote[144].speaker |
SPEAKER_09 |
transcript.pyannote[144].start |
2951.92409375 |
transcript.pyannote[144].end |
2962.40346875 |
transcript.pyannote[145].speaker |
SPEAKER_09 |
transcript.pyannote[145].start |
2962.58909375 |
transcript.pyannote[145].end |
2964.56346875 |
transcript.pyannote[146].speaker |
SPEAKER_09 |
transcript.pyannote[146].start |
2964.93471875 |
transcript.pyannote[146].end |
2966.01471875 |
transcript.pyannote[147].speaker |
SPEAKER_09 |
transcript.pyannote[147].start |
2966.47034375 |
transcript.pyannote[147].end |
3073.96409375 |
transcript.pyannote[148].speaker |
SPEAKER_10 |
transcript.pyannote[148].start |
3074.68971875 |
transcript.pyannote[148].end |
3080.07284375 |
transcript.pyannote[149].speaker |
SPEAKER_10 |
transcript.pyannote[149].start |
3080.15721875 |
transcript.pyannote[149].end |
3082.97534375 |
transcript.pyannote[150].speaker |
SPEAKER_10 |
transcript.pyannote[150].start |
3089.50596875 |
transcript.pyannote[150].end |
3090.02909375 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
3097.20096875 |
transcript.pyannote[151].end |
3199.29471875 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
3199.90221875 |
transcript.pyannote[152].end |
3205.23471875 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
3205.74096875 |
transcript.pyannote[153].end |
3282.45471875 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
3282.84284375 |
transcript.pyannote[154].end |
3289.54221875 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
3290.14971875 |
transcript.pyannote[155].end |
3333.61971875 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
3333.95721875 |
transcript.pyannote[156].end |
3334.34534375 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
3334.76721875 |
transcript.pyannote[157].end |
3337.61909375 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
3338.32784375 |
transcript.pyannote[158].end |
3365.04096875 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
3365.66534375 |
transcript.pyannote[159].end |
3436.57409375 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
3436.94534375 |
transcript.pyannote[160].end |
3447.15471875 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
3447.37409375 |
transcript.pyannote[161].end |
3454.68096875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
3455.27159375 |
transcript.pyannote[162].end |
3478.98096875 |
transcript.pyannote[163].speaker |
SPEAKER_10 |
transcript.pyannote[163].start |
3480.55034375 |
transcript.pyannote[163].end |
3485.25846875 |
transcript.pyannote[164].speaker |
SPEAKER_10 |
transcript.pyannote[164].start |
3487.95846875 |
transcript.pyannote[164].end |
3497.66159375 |
transcript.pyannote[165].speaker |
SPEAKER_10 |
transcript.pyannote[165].start |
3498.58971875 |
transcript.pyannote[165].end |
3501.47534375 |
transcript.pyannote[166].speaker |
SPEAKER_10 |
transcript.pyannote[166].start |
3501.79596875 |
transcript.pyannote[166].end |
3505.60971875 |
transcript.pyannote[167].speaker |
SPEAKER_10 |
transcript.pyannote[167].start |
3506.20034375 |
transcript.pyannote[167].end |
3509.44034375 |
transcript.pyannote[168].speaker |
SPEAKER_10 |
transcript.pyannote[168].start |
3509.74409375 |
transcript.pyannote[168].end |
3510.16596875 |
transcript.pyannote[169].speaker |
SPEAKER_10 |
transcript.pyannote[169].start |
3510.60471875 |
transcript.pyannote[169].end |
3512.08971875 |
transcript.pyannote[170].speaker |
SPEAKER_10 |
transcript.pyannote[170].start |
3512.44409375 |
transcript.pyannote[170].end |
3514.57034375 |
transcript.pyannote[171].speaker |
SPEAKER_10 |
transcript.pyannote[171].start |
3515.09346875 |
transcript.pyannote[171].end |
3520.72971875 |
transcript.pyannote[172].speaker |
SPEAKER_10 |
transcript.pyannote[172].start |
3521.26971875 |
transcript.pyannote[172].end |
3526.12971875 |
transcript.pyannote[173].speaker |
SPEAKER_20 |
transcript.pyannote[173].start |
3537.16596875 |
transcript.pyannote[173].end |
3541.35096875 |
transcript.pyannote[174].speaker |
SPEAKER_20 |
transcript.pyannote[174].start |
3541.92471875 |
transcript.pyannote[174].end |
3545.11409375 |
transcript.pyannote[175].speaker |
SPEAKER_20 |
transcript.pyannote[175].start |
3545.78909375 |
transcript.pyannote[175].end |
3546.17721875 |
transcript.pyannote[176].speaker |
SPEAKER_20 |
transcript.pyannote[176].start |
3546.61596875 |
transcript.pyannote[176].end |
3549.21471875 |
transcript.pyannote[177].speaker |
SPEAKER_20 |
transcript.pyannote[177].start |
3549.58596875 |
transcript.pyannote[177].end |
3553.63596875 |
transcript.pyannote[178].speaker |
SPEAKER_20 |
transcript.pyannote[178].start |
3554.04096875 |
transcript.pyannote[178].end |
3555.35721875 |
transcript.pyannote[179].speaker |
SPEAKER_20 |
transcript.pyannote[179].start |
3556.72409375 |
transcript.pyannote[179].end |
3557.43284375 |
transcript.pyannote[180].speaker |
SPEAKER_20 |
transcript.pyannote[180].start |
3562.30971875 |
transcript.pyannote[180].end |
3591.26721875 |
transcript.pyannote[181].speaker |
SPEAKER_20 |
transcript.pyannote[181].start |
3591.60471875 |
transcript.pyannote[181].end |
3596.48159375 |
transcript.pyannote[182].speaker |
SPEAKER_20 |
transcript.pyannote[182].start |
3596.97096875 |
transcript.pyannote[182].end |
3600.64971875 |
transcript.pyannote[183].speaker |
SPEAKER_20 |
transcript.pyannote[183].start |
3600.71721875 |
transcript.pyannote[183].end |
3602.33721875 |
transcript.pyannote[184].speaker |
SPEAKER_20 |
transcript.pyannote[184].start |
3602.77596875 |
transcript.pyannote[184].end |
3603.85596875 |
transcript.pyannote[185].speaker |
SPEAKER_20 |
transcript.pyannote[185].start |
3604.61534375 |
transcript.pyannote[185].end |
3608.91846875 |
transcript.pyannote[186].speaker |
SPEAKER_09 |
transcript.pyannote[186].start |
3609.62721875 |
transcript.pyannote[186].end |
3656.65784375 |
transcript.pyannote[187].speaker |
SPEAKER_20 |
transcript.pyannote[187].start |
3656.65784375 |
transcript.pyannote[187].end |
3663.64409375 |
transcript.pyannote[188].speaker |
SPEAKER_20 |
transcript.pyannote[188].start |
3663.81284375 |
transcript.pyannote[188].end |
3663.82971875 |
transcript.pyannote[189].speaker |
SPEAKER_09 |
transcript.pyannote[189].start |
3663.82971875 |
transcript.pyannote[189].end |
3695.62221875 |
transcript.pyannote[190].speaker |
SPEAKER_20 |
transcript.pyannote[190].start |
3689.32784375 |
transcript.pyannote[190].end |
3689.64846875 |
transcript.pyannote[191].speaker |
SPEAKER_20 |
transcript.pyannote[191].start |
3692.26409375 |
transcript.pyannote[191].end |
3692.87159375 |
transcript.pyannote[192].speaker |
SPEAKER_20 |
transcript.pyannote[192].start |
3694.44096875 |
transcript.pyannote[192].end |
3706.97909375 |
transcript.pyannote[193].speaker |
SPEAKER_09 |
transcript.pyannote[193].start |
3698.13659375 |
transcript.pyannote[193].end |
3698.81159375 |
transcript.pyannote[194].speaker |
SPEAKER_09 |
transcript.pyannote[194].start |
3699.13221875 |
transcript.pyannote[194].end |
3699.41909375 |
transcript.pyannote[195].speaker |
SPEAKER_20 |
transcript.pyannote[195].start |
3707.53596875 |
transcript.pyannote[195].end |
3708.43034375 |
transcript.pyannote[196].speaker |
SPEAKER_20 |
transcript.pyannote[196].start |
3710.01659375 |
transcript.pyannote[196].end |
3712.49721875 |
transcript.pyannote[197].speaker |
SPEAKER_20 |
transcript.pyannote[197].start |
3712.85159375 |
transcript.pyannote[197].end |
3713.84721875 |
transcript.pyannote[198].speaker |
SPEAKER_09 |
transcript.pyannote[198].start |
3714.18471875 |
transcript.pyannote[198].end |
3754.85346875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
3727.97159375 |
transcript.pyannote[199].end |
3728.15721875 |
transcript.pyannote[200].speaker |
SPEAKER_20 |
transcript.pyannote[200].start |
3728.15721875 |
transcript.pyannote[200].end |
3730.80659375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
3742.04534375 |
transcript.pyannote[201].end |
3742.31534375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
3742.31534375 |
transcript.pyannote[202].end |
3742.36596875 |
transcript.pyannote[203].speaker |
SPEAKER_20 |
transcript.pyannote[203].start |
3755.02221875 |
transcript.pyannote[203].end |
3763.61159375 |
transcript.pyannote[204].speaker |
SPEAKER_20 |
transcript.pyannote[204].start |
3763.81409375 |
transcript.pyannote[204].end |
3777.76971875 |
transcript.pyannote[205].speaker |
SPEAKER_09 |
transcript.pyannote[205].start |
3777.85409375 |
transcript.pyannote[205].end |
3782.00534375 |
transcript.pyannote[206].speaker |
SPEAKER_20 |
transcript.pyannote[206].start |
3781.24596875 |
transcript.pyannote[206].end |
3781.88721875 |
transcript.pyannote[207].speaker |
SPEAKER_20 |
transcript.pyannote[207].start |
3781.90409375 |
transcript.pyannote[207].end |
3781.97159375 |
transcript.pyannote[208].speaker |
SPEAKER_20 |
transcript.pyannote[208].start |
3782.00534375 |
transcript.pyannote[208].end |
3782.47784375 |
transcript.pyannote[209].speaker |
SPEAKER_20 |
transcript.pyannote[209].start |
3782.74784375 |
transcript.pyannote[209].end |
3818.11784375 |
transcript.pyannote[210].speaker |
SPEAKER_20 |
transcript.pyannote[210].start |
3818.30346875 |
transcript.pyannote[210].end |
3819.14721875 |
transcript.pyannote[211].speaker |
SPEAKER_20 |
transcript.pyannote[211].start |
3820.00784375 |
transcript.pyannote[211].end |
3821.37471875 |
transcript.pyannote[212].speaker |
SPEAKER_20 |
transcript.pyannote[212].start |
3822.01596875 |
transcript.pyannote[212].end |
3823.09596875 |
transcript.pyannote[213].speaker |
SPEAKER_20 |
transcript.pyannote[213].start |
3823.24784375 |
transcript.pyannote[213].end |
3824.36159375 |
transcript.pyannote[214].speaker |
SPEAKER_20 |
transcript.pyannote[214].start |
3824.95221875 |
transcript.pyannote[214].end |
3827.97284375 |
transcript.pyannote[215].speaker |
SPEAKER_20 |
transcript.pyannote[215].start |
3828.32721875 |
transcript.pyannote[215].end |
3829.05284375 |
transcript.pyannote[216].speaker |
SPEAKER_20 |
transcript.pyannote[216].start |
3829.30596875 |
transcript.pyannote[216].end |
3834.21659375 |
transcript.pyannote[217].speaker |
SPEAKER_20 |
transcript.pyannote[217].start |
3834.73971875 |
transcript.pyannote[217].end |
3851.07471875 |
transcript.pyannote[218].speaker |
SPEAKER_09 |
transcript.pyannote[218].start |
3851.69909375 |
transcript.pyannote[218].end |
3871.08846875 |
transcript.pyannote[219].speaker |
SPEAKER_20 |
transcript.pyannote[219].start |
3869.60346875 |
transcript.pyannote[219].end |
3871.07159375 |
transcript.pyannote[220].speaker |
SPEAKER_20 |
transcript.pyannote[220].start |
3871.08846875 |
transcript.pyannote[220].end |
3871.18971875 |
transcript.pyannote[221].speaker |
SPEAKER_09 |
transcript.pyannote[221].start |
3871.18971875 |
transcript.pyannote[221].end |
3871.24034375 |
transcript.pyannote[222].speaker |
SPEAKER_20 |
transcript.pyannote[222].start |
3871.24034375 |
transcript.pyannote[222].end |
3872.42159375 |
transcript.pyannote[223].speaker |
SPEAKER_09 |
transcript.pyannote[223].start |
3871.39221875 |
transcript.pyannote[223].end |
3874.69971875 |
transcript.pyannote[224].speaker |
SPEAKER_20 |
transcript.pyannote[224].start |
3874.63221875 |
transcript.pyannote[224].end |
3892.33409375 |
transcript.pyannote[225].speaker |
SPEAKER_20 |
transcript.pyannote[225].start |
3892.87409375 |
transcript.pyannote[225].end |
3892.97534375 |
transcript.pyannote[226].speaker |
SPEAKER_09 |
transcript.pyannote[226].start |
3892.97534375 |
transcript.pyannote[226].end |
3918.94596875 |
transcript.pyannote[227].speaker |
SPEAKER_09 |
transcript.pyannote[227].start |
3919.58721875 |
transcript.pyannote[227].end |
3920.36346875 |
transcript.pyannote[228].speaker |
SPEAKER_20 |
transcript.pyannote[228].start |
3921.71346875 |
transcript.pyannote[228].end |
3976.23659375 |
transcript.pyannote[229].speaker |
SPEAKER_09 |
transcript.pyannote[229].start |
3977.67096875 |
transcript.pyannote[229].end |
3994.02284375 |
transcript.pyannote[230].speaker |
SPEAKER_20 |
transcript.pyannote[230].start |
3994.22534375 |
transcript.pyannote[230].end |
4001.34659375 |
transcript.pyannote[231].speaker |
SPEAKER_20 |
transcript.pyannote[231].start |
4001.54909375 |
transcript.pyannote[231].end |
4002.74721875 |
transcript.pyannote[232].speaker |
SPEAKER_09 |
transcript.pyannote[232].start |
4003.59096875 |
transcript.pyannote[232].end |
4033.03784375 |
transcript.pyannote[233].speaker |
SPEAKER_20 |
transcript.pyannote[233].start |
4032.27846875 |
transcript.pyannote[233].end |
4034.59034375 |
transcript.pyannote[234].speaker |
SPEAKER_09 |
transcript.pyannote[234].start |
4034.10096875 |
transcript.pyannote[234].end |
4034.48909375 |
transcript.pyannote[235].speaker |
SPEAKER_20 |
transcript.pyannote[235].start |
4034.94471875 |
transcript.pyannote[235].end |
4048.93409375 |
transcript.pyannote[236].speaker |
SPEAKER_09 |
transcript.pyannote[236].start |
4048.93409375 |
transcript.pyannote[236].end |
4054.80659375 |
transcript.pyannote[237].speaker |
SPEAKER_20 |
transcript.pyannote[237].start |
4055.48159375 |
transcript.pyannote[237].end |
4070.97284375 |
transcript.pyannote[238].speaker |
SPEAKER_09 |
transcript.pyannote[238].start |
4070.97284375 |
transcript.pyannote[238].end |
4088.72534375 |
transcript.pyannote[239].speaker |
SPEAKER_20 |
transcript.pyannote[239].start |
4088.21909375 |
transcript.pyannote[239].end |
4088.57346875 |
transcript.pyannote[240].speaker |
SPEAKER_20 |
transcript.pyannote[240].start |
4088.72534375 |
transcript.pyannote[240].end |
4109.14409375 |
transcript.pyannote[241].speaker |
SPEAKER_20 |
transcript.pyannote[241].start |
4109.51534375 |
transcript.pyannote[241].end |
4110.96659375 |
transcript.pyannote[242].speaker |
SPEAKER_09 |
transcript.pyannote[242].start |
4110.96659375 |
transcript.pyannote[242].end |
4111.92846875 |
transcript.pyannote[243].speaker |
SPEAKER_20 |
transcript.pyannote[243].start |
4111.92846875 |
transcript.pyannote[243].end |
4111.96221875 |
transcript.pyannote[244].speaker |
SPEAKER_09 |
transcript.pyannote[244].start |
4111.96221875 |
transcript.pyannote[244].end |
4129.22534375 |
transcript.pyannote[245].speaker |
SPEAKER_20 |
transcript.pyannote[245].start |
4129.37721875 |
transcript.pyannote[245].end |
4154.99346875 |
transcript.pyannote[246].speaker |
SPEAKER_20 |
transcript.pyannote[246].start |
4155.12846875 |
transcript.pyannote[246].end |
4157.18721875 |
transcript.pyannote[247].speaker |
SPEAKER_20 |
transcript.pyannote[247].start |
4157.32221875 |
transcript.pyannote[247].end |
4158.19971875 |
transcript.pyannote[248].speaker |
SPEAKER_09 |
transcript.pyannote[248].start |
4158.19971875 |
transcript.pyannote[248].end |
4158.25034375 |
transcript.pyannote[249].speaker |
SPEAKER_20 |
transcript.pyannote[249].start |
4158.99284375 |
transcript.pyannote[249].end |
4159.00971875 |
transcript.pyannote[250].speaker |
SPEAKER_09 |
transcript.pyannote[250].start |
4159.00971875 |
transcript.pyannote[250].end |
4167.43034375 |
transcript.pyannote[251].speaker |
SPEAKER_20 |
transcript.pyannote[251].start |
4167.41346875 |
transcript.pyannote[251].end |
4169.62409375 |
transcript.pyannote[252].speaker |
SPEAKER_20 |
transcript.pyannote[252].start |
4170.04596875 |
transcript.pyannote[252].end |
4173.08346875 |
transcript.pyannote[253].speaker |
SPEAKER_20 |
transcript.pyannote[253].start |
4173.45471875 |
transcript.pyannote[253].end |
4178.43284375 |
transcript.pyannote[254].speaker |
SPEAKER_09 |
transcript.pyannote[254].start |
4173.47159375 |
transcript.pyannote[254].end |
4174.12971875 |
transcript.pyannote[255].speaker |
SPEAKER_09 |
transcript.pyannote[255].start |
4176.89721875 |
transcript.pyannote[255].end |
4180.81221875 |
transcript.pyannote[256].speaker |
SPEAKER_09 |
transcript.pyannote[256].start |
4181.11596875 |
transcript.pyannote[256].end |
4181.16659375 |
transcript.pyannote[257].speaker |
SPEAKER_20 |
transcript.pyannote[257].start |
4181.16659375 |
transcript.pyannote[257].end |
4183.17471875 |
transcript.pyannote[258].speaker |
SPEAKER_20 |
transcript.pyannote[258].start |
4183.41096875 |
transcript.pyannote[258].end |
4184.17034375 |
transcript.pyannote[259].speaker |
SPEAKER_20 |
transcript.pyannote[259].start |
4184.27159375 |
transcript.pyannote[259].end |
4191.42659375 |
transcript.pyannote[260].speaker |
SPEAKER_20 |
transcript.pyannote[260].start |
4192.69221875 |
transcript.pyannote[260].end |
4193.28284375 |
transcript.pyannote[261].speaker |
SPEAKER_20 |
transcript.pyannote[261].start |
4194.73409375 |
transcript.pyannote[261].end |
4197.36659375 |
transcript.pyannote[262].speaker |
SPEAKER_20 |
transcript.pyannote[262].start |
4197.73784375 |
transcript.pyannote[262].end |
4208.84159375 |
transcript.pyannote[263].speaker |
SPEAKER_20 |
transcript.pyannote[263].start |
4208.99346875 |
transcript.pyannote[263].end |
4210.51221875 |
transcript.pyannote[264].speaker |
SPEAKER_20 |
transcript.pyannote[264].start |
4210.79909375 |
transcript.pyannote[264].end |
4214.44409375 |
transcript.pyannote[265].speaker |
SPEAKER_09 |
transcript.pyannote[265].start |
4214.44409375 |
transcript.pyannote[265].end |
4220.67096875 |
transcript.pyannote[266].speaker |
SPEAKER_10 |
transcript.pyannote[266].start |
4221.63284375 |
transcript.pyannote[266].end |
4225.10909375 |
transcript.pyannote[267].speaker |
SPEAKER_13 |
transcript.pyannote[267].start |
4239.03096875 |
transcript.pyannote[267].end |
4240.95471875 |
transcript.pyannote[268].speaker |
SPEAKER_10 |
transcript.pyannote[268].start |
4242.97971875 |
transcript.pyannote[268].end |
4243.18221875 |
transcript.pyannote[269].speaker |
SPEAKER_13 |
transcript.pyannote[269].start |
4243.18221875 |
transcript.pyannote[269].end |
4243.19909375 |
transcript.pyannote[270].speaker |
SPEAKER_10 |
transcript.pyannote[270].start |
4243.19909375 |
transcript.pyannote[270].end |
4243.30034375 |
transcript.pyannote[271].speaker |
SPEAKER_13 |
transcript.pyannote[271].start |
4243.30034375 |
transcript.pyannote[271].end |
4243.75596875 |
transcript.pyannote[272].speaker |
SPEAKER_13 |
transcript.pyannote[272].start |
4247.09721875 |
transcript.pyannote[272].end |
4247.63721875 |
transcript.pyannote[273].speaker |
SPEAKER_13 |
transcript.pyannote[273].start |
4248.02534375 |
transcript.pyannote[273].end |
4248.88596875 |
transcript.pyannote[274].speaker |
SPEAKER_13 |
transcript.pyannote[274].start |
4249.39221875 |
transcript.pyannote[274].end |
4251.04596875 |
transcript.pyannote[275].speaker |
SPEAKER_13 |
transcript.pyannote[275].start |
4251.53534375 |
transcript.pyannote[275].end |
4254.65721875 |
transcript.pyannote[276].speaker |
SPEAKER_13 |
transcript.pyannote[276].start |
4255.12971875 |
transcript.pyannote[276].end |
4256.66534375 |
transcript.pyannote[277].speaker |
SPEAKER_13 |
transcript.pyannote[277].start |
4256.93534375 |
transcript.pyannote[277].end |
4258.55534375 |
transcript.pyannote[278].speaker |
SPEAKER_13 |
transcript.pyannote[278].start |
4258.82534375 |
transcript.pyannote[278].end |
4258.84221875 |
transcript.pyannote[279].speaker |
SPEAKER_09 |
transcript.pyannote[279].start |
4258.84221875 |
transcript.pyannote[279].end |
4317.33096875 |
transcript.pyannote[280].speaker |
SPEAKER_13 |
transcript.pyannote[280].start |
4317.78659375 |
transcript.pyannote[280].end |
4318.14096875 |
transcript.pyannote[281].speaker |
SPEAKER_13 |
transcript.pyannote[281].start |
4319.03534375 |
transcript.pyannote[281].end |
4324.78971875 |
transcript.pyannote[282].speaker |
SPEAKER_13 |
transcript.pyannote[282].start |
4325.31284375 |
transcript.pyannote[282].end |
4326.39284375 |
transcript.pyannote[283].speaker |
SPEAKER_13 |
transcript.pyannote[283].start |
4326.71346875 |
transcript.pyannote[283].end |
4326.73034375 |
transcript.pyannote[284].speaker |
SPEAKER_09 |
transcript.pyannote[284].start |
4326.73034375 |
transcript.pyannote[284].end |
4352.63346875 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
4349.08971875 |
transcript.pyannote[285].end |
4349.22471875 |
transcript.pyannote[286].speaker |
SPEAKER_13 |
transcript.pyannote[286].start |
4349.22471875 |
transcript.pyannote[286].end |
4349.25846875 |
transcript.pyannote[287].speaker |
SPEAKER_08 |
transcript.pyannote[287].start |
4349.25846875 |
transcript.pyannote[287].end |
4349.78159375 |
transcript.pyannote[288].speaker |
SPEAKER_13 |
transcript.pyannote[288].start |
4349.78159375 |
transcript.pyannote[288].end |
4350.05159375 |
transcript.pyannote[289].speaker |
SPEAKER_13 |
transcript.pyannote[289].start |
4352.24534375 |
transcript.pyannote[289].end |
4354.96221875 |
transcript.pyannote[290].speaker |
SPEAKER_09 |
transcript.pyannote[290].start |
4354.96221875 |
transcript.pyannote[290].end |
4355.19846875 |
transcript.pyannote[291].speaker |
SPEAKER_13 |
transcript.pyannote[291].start |
4355.19846875 |
transcript.pyannote[291].end |
4355.99159375 |
transcript.pyannote[292].speaker |
SPEAKER_09 |
transcript.pyannote[292].start |
4355.99159375 |
transcript.pyannote[292].end |
4356.02534375 |
transcript.pyannote[293].speaker |
SPEAKER_13 |
transcript.pyannote[293].start |
4356.02534375 |
transcript.pyannote[293].end |
4356.53159375 |
transcript.pyannote[294].speaker |
SPEAKER_13 |
transcript.pyannote[294].start |
4356.73409375 |
transcript.pyannote[294].end |
4358.84346875 |
transcript.pyannote[295].speaker |
SPEAKER_13 |
transcript.pyannote[295].start |
4359.13034375 |
transcript.pyannote[295].end |
4362.01596875 |
transcript.pyannote[296].speaker |
SPEAKER_13 |
transcript.pyannote[296].start |
4362.15096875 |
transcript.pyannote[296].end |
4364.96909375 |
transcript.pyannote[297].speaker |
SPEAKER_09 |
transcript.pyannote[297].start |
4364.96909375 |
transcript.pyannote[297].end |
4404.05159375 |
transcript.pyannote[298].speaker |
SPEAKER_13 |
transcript.pyannote[298].start |
4404.77721875 |
transcript.pyannote[298].end |
4405.67159375 |
transcript.pyannote[299].speaker |
SPEAKER_13 |
transcript.pyannote[299].start |
4406.04284375 |
transcript.pyannote[299].end |
4418.32784375 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
4407.17346875 |
transcript.pyannote[300].end |
4407.30846875 |
transcript.pyannote[301].speaker |
SPEAKER_09 |
transcript.pyannote[301].start |
4407.30846875 |
transcript.pyannote[301].end |
4407.73034375 |
transcript.pyannote[302].speaker |
SPEAKER_01 |
transcript.pyannote[302].start |
4407.73034375 |
transcript.pyannote[302].end |
4407.78096875 |
transcript.pyannote[303].speaker |
SPEAKER_13 |
transcript.pyannote[303].start |
4418.83409375 |
transcript.pyannote[303].end |
4420.60596875 |
transcript.pyannote[304].speaker |
SPEAKER_13 |
transcript.pyannote[304].start |
4421.39909375 |
transcript.pyannote[304].end |
4423.00221875 |
transcript.pyannote[305].speaker |
SPEAKER_13 |
transcript.pyannote[305].start |
4423.32284375 |
transcript.pyannote[305].end |
4425.48284375 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
4425.51659375 |
transcript.pyannote[306].end |
4426.74846875 |
transcript.pyannote[307].speaker |
SPEAKER_13 |
transcript.pyannote[307].start |
4426.09034375 |
transcript.pyannote[307].end |
4428.33471875 |
transcript.pyannote[308].speaker |
SPEAKER_13 |
transcript.pyannote[308].start |
4429.04346875 |
transcript.pyannote[308].end |
4431.69284375 |
transcript.pyannote[309].speaker |
SPEAKER_13 |
transcript.pyannote[309].start |
4431.82784375 |
transcript.pyannote[309].end |
4433.49846875 |
transcript.pyannote[310].speaker |
SPEAKER_13 |
transcript.pyannote[310].start |
4433.88659375 |
transcript.pyannote[310].end |
4435.50659375 |
transcript.pyannote[311].speaker |
SPEAKER_09 |
transcript.pyannote[311].start |
4434.71346875 |
transcript.pyannote[311].end |
4435.62471875 |
transcript.pyannote[312].speaker |
SPEAKER_13 |
transcript.pyannote[312].start |
4435.62471875 |
transcript.pyannote[312].end |
4435.96221875 |
transcript.pyannote[313].speaker |
SPEAKER_09 |
transcript.pyannote[313].start |
4435.96221875 |
transcript.pyannote[313].end |
4442.08784375 |
transcript.pyannote[314].speaker |
SPEAKER_13 |
transcript.pyannote[314].start |
4436.78909375 |
transcript.pyannote[314].end |
4437.49784375 |
transcript.pyannote[315].speaker |
SPEAKER_09 |
transcript.pyannote[315].start |
4442.29034375 |
transcript.pyannote[315].end |
4444.23096875 |
transcript.pyannote[316].speaker |
SPEAKER_09 |
transcript.pyannote[316].start |
4444.73721875 |
transcript.pyannote[316].end |
4445.02409375 |
transcript.pyannote[317].speaker |
SPEAKER_13 |
transcript.pyannote[317].start |
4445.02409375 |
transcript.pyannote[317].end |
4446.00284375 |
transcript.pyannote[318].speaker |
SPEAKER_09 |
transcript.pyannote[318].start |
4446.00284375 |
transcript.pyannote[318].end |
4446.03659375 |
transcript.pyannote[319].speaker |
SPEAKER_09 |
transcript.pyannote[319].start |
4446.05346875 |
transcript.pyannote[319].end |
4450.23846875 |
transcript.pyannote[320].speaker |
SPEAKER_13 |
transcript.pyannote[320].start |
4450.35659375 |
transcript.pyannote[320].end |
4452.80346875 |
transcript.pyannote[321].speaker |
SPEAKER_13 |
transcript.pyannote[321].start |
4453.83284375 |
transcript.pyannote[321].end |
4455.25034375 |
transcript.pyannote[322].speaker |
SPEAKER_13 |
transcript.pyannote[322].start |
4456.14471875 |
transcript.pyannote[322].end |
4457.32596875 |
transcript.pyannote[323].speaker |
SPEAKER_13 |
transcript.pyannote[323].start |
4457.91659375 |
transcript.pyannote[323].end |
4458.15284375 |
transcript.pyannote[324].speaker |
SPEAKER_13 |
transcript.pyannote[324].start |
4458.74346875 |
transcript.pyannote[324].end |
4459.75596875 |
transcript.pyannote[325].speaker |
SPEAKER_09 |
transcript.pyannote[325].start |
4458.94596875 |
transcript.pyannote[325].end |
4460.88659375 |
transcript.pyannote[326].speaker |
SPEAKER_13 |
transcript.pyannote[326].start |
4460.70096875 |
transcript.pyannote[326].end |
4465.17284375 |
transcript.pyannote[327].speaker |
SPEAKER_13 |
transcript.pyannote[327].start |
4465.51034375 |
transcript.pyannote[327].end |
4468.88534375 |
transcript.pyannote[328].speaker |
SPEAKER_13 |
transcript.pyannote[328].start |
4469.22284375 |
transcript.pyannote[328].end |
4470.85971875 |
transcript.pyannote[329].speaker |
SPEAKER_13 |
transcript.pyannote[329].start |
4471.21409375 |
transcript.pyannote[329].end |
4472.81721875 |
transcript.pyannote[330].speaker |
SPEAKER_13 |
transcript.pyannote[330].start |
4474.11659375 |
transcript.pyannote[330].end |
4475.97284375 |
transcript.pyannote[331].speaker |
SPEAKER_13 |
transcript.pyannote[331].start |
4476.46221875 |
transcript.pyannote[331].end |
4479.49971875 |
transcript.pyannote[332].speaker |
SPEAKER_13 |
transcript.pyannote[332].start |
4479.98909375 |
transcript.pyannote[332].end |
4482.84096875 |
transcript.pyannote[333].speaker |
SPEAKER_13 |
transcript.pyannote[333].start |
4483.16159375 |
transcript.pyannote[333].end |
4485.15284375 |
transcript.pyannote[334].speaker |
SPEAKER_13 |
transcript.pyannote[334].start |
4485.86159375 |
transcript.pyannote[334].end |
4493.10096875 |
transcript.pyannote[335].speaker |
SPEAKER_13 |
transcript.pyannote[335].start |
4494.36659375 |
transcript.pyannote[335].end |
4497.55596875 |
transcript.pyannote[336].speaker |
SPEAKER_13 |
transcript.pyannote[336].start |
4498.34909375 |
transcript.pyannote[336].end |
4504.93034375 |
transcript.pyannote[337].speaker |
SPEAKER_09 |
transcript.pyannote[337].start |
4504.93034375 |
transcript.pyannote[337].end |
4510.60034375 |
transcript.pyannote[338].speaker |
SPEAKER_13 |
transcript.pyannote[338].start |
4505.30159375 |
transcript.pyannote[338].end |
4506.82034375 |
transcript.pyannote[339].speaker |
SPEAKER_13 |
transcript.pyannote[339].start |
4508.99721875 |
transcript.pyannote[339].end |
4516.01721875 |
transcript.pyannote[340].speaker |
SPEAKER_13 |
transcript.pyannote[340].start |
4516.33784375 |
transcript.pyannote[340].end |
4524.48846875 |
transcript.pyannote[341].speaker |
SPEAKER_09 |
transcript.pyannote[341].start |
4516.37159375 |
transcript.pyannote[341].end |
4516.81034375 |
transcript.pyannote[342].speaker |
SPEAKER_13 |
transcript.pyannote[342].start |
4524.96096875 |
transcript.pyannote[342].end |
4526.42909375 |
transcript.pyannote[343].speaker |
SPEAKER_13 |
transcript.pyannote[343].start |
4527.42471875 |
transcript.pyannote[343].end |
4528.08284375 |
transcript.pyannote[344].speaker |
SPEAKER_13 |
transcript.pyannote[344].start |
4528.77471875 |
transcript.pyannote[344].end |
4545.19409375 |
transcript.pyannote[345].speaker |
SPEAKER_13 |
transcript.pyannote[345].start |
4546.10534375 |
transcript.pyannote[345].end |
4549.10909375 |
transcript.pyannote[346].speaker |
SPEAKER_13 |
transcript.pyannote[346].start |
4549.24409375 |
transcript.pyannote[346].end |
4552.55159375 |
transcript.pyannote[347].speaker |
SPEAKER_09 |
transcript.pyannote[347].start |
4552.55159375 |
transcript.pyannote[347].end |
4552.60221875 |
transcript.pyannote[348].speaker |
SPEAKER_13 |
transcript.pyannote[348].start |
4552.60221875 |
transcript.pyannote[348].end |
4552.63596875 |
transcript.pyannote[349].speaker |
SPEAKER_09 |
transcript.pyannote[349].start |
4552.63596875 |
transcript.pyannote[349].end |
4562.03534375 |
transcript.pyannote[350].speaker |
SPEAKER_01 |
transcript.pyannote[350].start |
4559.57159375 |
transcript.pyannote[350].end |
4560.01034375 |
transcript.pyannote[351].speaker |
SPEAKER_13 |
transcript.pyannote[351].start |
4560.01034375 |
transcript.pyannote[351].end |
4560.12846875 |
transcript.pyannote[352].speaker |
SPEAKER_13 |
transcript.pyannote[352].start |
4562.03534375 |
transcript.pyannote[352].end |
4564.29659375 |
transcript.pyannote[353].speaker |
SPEAKER_01 |
transcript.pyannote[353].start |
4563.35159375 |
transcript.pyannote[353].end |
4563.43596875 |
transcript.pyannote[354].speaker |
SPEAKER_01 |
transcript.pyannote[354].start |
4564.29659375 |
transcript.pyannote[354].end |
4564.33034375 |
transcript.pyannote[355].speaker |
SPEAKER_01 |
transcript.pyannote[355].start |
4564.81971875 |
transcript.pyannote[355].end |
4564.90409375 |
transcript.pyannote[356].speaker |
SPEAKER_13 |
transcript.pyannote[356].start |
4565.12346875 |
transcript.pyannote[356].end |
4568.97096875 |
transcript.pyannote[357].speaker |
SPEAKER_13 |
transcript.pyannote[357].start |
4569.34221875 |
transcript.pyannote[357].end |
4591.97159375 |
transcript.pyannote[358].speaker |
SPEAKER_09 |
transcript.pyannote[358].start |
4586.40284375 |
transcript.pyannote[358].end |
4586.89221875 |
transcript.pyannote[359].speaker |
SPEAKER_09 |
transcript.pyannote[359].start |
4590.45284375 |
transcript.pyannote[359].end |
4590.82409375 |
transcript.pyannote[360].speaker |
SPEAKER_09 |
transcript.pyannote[360].start |
4591.97159375 |
transcript.pyannote[360].end |
4602.58596875 |
transcript.pyannote[361].speaker |
SPEAKER_13 |
transcript.pyannote[361].start |
4591.98846875 |
transcript.pyannote[361].end |
4592.03909375 |
transcript.pyannote[362].speaker |
SPEAKER_13 |
transcript.pyannote[362].start |
4595.81909375 |
transcript.pyannote[362].end |
4595.95409375 |
transcript.pyannote[363].speaker |
SPEAKER_13 |
transcript.pyannote[363].start |
4603.17659375 |
transcript.pyannote[363].end |
4607.88471875 |
transcript.pyannote[364].speaker |
SPEAKER_13 |
transcript.pyannote[364].start |
4609.03221875 |
transcript.pyannote[364].end |
4610.95596875 |
transcript.pyannote[365].speaker |
SPEAKER_13 |
transcript.pyannote[365].start |
4611.07409375 |
transcript.pyannote[365].end |
4613.72346875 |
transcript.pyannote[366].speaker |
SPEAKER_13 |
transcript.pyannote[366].start |
4614.02721875 |
transcript.pyannote[366].end |
4614.80346875 |
transcript.pyannote[367].speaker |
SPEAKER_13 |
transcript.pyannote[367].start |
4615.12409375 |
transcript.pyannote[367].end |
4621.97534375 |
transcript.pyannote[368].speaker |
SPEAKER_09 |
transcript.pyannote[368].start |
4618.97159375 |
transcript.pyannote[368].end |
4619.19096875 |
transcript.pyannote[369].speaker |
SPEAKER_09 |
transcript.pyannote[369].start |
4621.97534375 |
transcript.pyannote[369].end |
4622.58284375 |
transcript.pyannote[370].speaker |
SPEAKER_09 |
transcript.pyannote[370].start |
4623.34221875 |
transcript.pyannote[370].end |
4632.97784375 |
transcript.pyannote[371].speaker |
SPEAKER_13 |
transcript.pyannote[371].start |
4630.75034375 |
transcript.pyannote[371].end |
4631.18909375 |
transcript.pyannote[372].speaker |
SPEAKER_13 |
transcript.pyannote[372].start |
4632.64034375 |
transcript.pyannote[372].end |
4632.91034375 |
transcript.pyannote[373].speaker |
SPEAKER_13 |
transcript.pyannote[373].start |
4632.97784375 |
transcript.pyannote[373].end |
4637.85471875 |
transcript.pyannote[374].speaker |
SPEAKER_09 |
transcript.pyannote[374].start |
4637.44971875 |
transcript.pyannote[374].end |
4643.27159375 |
transcript.pyannote[375].speaker |
SPEAKER_13 |
transcript.pyannote[375].start |
4644.08159375 |
transcript.pyannote[375].end |
4644.95909375 |
transcript.pyannote[376].speaker |
SPEAKER_13 |
transcript.pyannote[376].start |
4645.54971875 |
transcript.pyannote[376].end |
4649.00909375 |
transcript.pyannote[377].speaker |
SPEAKER_13 |
transcript.pyannote[377].start |
4649.78534375 |
transcript.pyannote[377].end |
4653.64971875 |
transcript.pyannote[378].speaker |
SPEAKER_13 |
transcript.pyannote[378].start |
4654.45971875 |
transcript.pyannote[378].end |
4656.48471875 |
transcript.pyannote[379].speaker |
SPEAKER_13 |
transcript.pyannote[379].start |
4657.22721875 |
transcript.pyannote[379].end |
4659.16784375 |
transcript.pyannote[380].speaker |
SPEAKER_13 |
transcript.pyannote[380].start |
4659.70784375 |
transcript.pyannote[380].end |
4660.29846875 |
transcript.pyannote[381].speaker |
SPEAKER_13 |
transcript.pyannote[381].start |
4661.10846875 |
transcript.pyannote[381].end |
4661.44596875 |
transcript.pyannote[382].speaker |
SPEAKER_13 |
transcript.pyannote[382].start |
4662.22221875 |
transcript.pyannote[382].end |
4666.12034375 |
transcript.pyannote[383].speaker |
SPEAKER_13 |
transcript.pyannote[383].start |
4666.64346875 |
transcript.pyannote[383].end |
4667.63909375 |
transcript.pyannote[384].speaker |
SPEAKER_13 |
transcript.pyannote[384].start |
4668.22971875 |
transcript.pyannote[384].end |
4669.17471875 |
transcript.pyannote[385].speaker |
SPEAKER_13 |
transcript.pyannote[385].start |
4670.05221875 |
transcript.pyannote[385].end |
4671.04784375 |
transcript.pyannote[386].speaker |
SPEAKER_13 |
transcript.pyannote[386].start |
4671.55409375 |
transcript.pyannote[386].end |
4672.09409375 |
transcript.pyannote[387].speaker |
SPEAKER_13 |
transcript.pyannote[387].start |
4672.36409375 |
transcript.pyannote[387].end |
4674.57471875 |
transcript.pyannote[388].speaker |
SPEAKER_13 |
transcript.pyannote[388].start |
4675.09784375 |
transcript.pyannote[388].end |
4676.32971875 |
transcript.pyannote[389].speaker |
SPEAKER_09 |
transcript.pyannote[389].start |
4676.32971875 |
transcript.pyannote[389].end |
4676.53221875 |
transcript.pyannote[390].speaker |
SPEAKER_13 |
transcript.pyannote[390].start |
4676.53221875 |
transcript.pyannote[390].end |
4676.97096875 |
transcript.pyannote[391].speaker |
SPEAKER_09 |
transcript.pyannote[391].start |
4676.97096875 |
transcript.pyannote[391].end |
4697.32221875 |
transcript.pyannote[392].speaker |
SPEAKER_13 |
transcript.pyannote[392].start |
4697.45721875 |
transcript.pyannote[392].end |
4699.71846875 |
transcript.pyannote[393].speaker |
SPEAKER_13 |
transcript.pyannote[393].start |
4700.62971875 |
transcript.pyannote[393].end |
4705.15221875 |
transcript.pyannote[394].speaker |
SPEAKER_13 |
transcript.pyannote[394].start |
4705.55721875 |
transcript.pyannote[394].end |
4706.83971875 |
transcript.pyannote[395].speaker |
SPEAKER_09 |
transcript.pyannote[395].start |
4706.45159375 |
transcript.pyannote[395].end |
4706.73846875 |
transcript.pyannote[396].speaker |
SPEAKER_09 |
transcript.pyannote[396].start |
4706.83971875 |
transcript.pyannote[396].end |
4717.84221875 |
transcript.pyannote[397].speaker |
SPEAKER_13 |
transcript.pyannote[397].start |
4718.07846875 |
transcript.pyannote[397].end |
4719.15846875 |
transcript.pyannote[398].speaker |
SPEAKER_09 |
transcript.pyannote[398].start |
4719.15846875 |
transcript.pyannote[398].end |
4720.44096875 |
transcript.pyannote[399].speaker |
SPEAKER_13 |
transcript.pyannote[399].start |
4720.22159375 |
transcript.pyannote[399].end |
4725.01409375 |
transcript.pyannote[400].speaker |
SPEAKER_13 |
transcript.pyannote[400].start |
4725.09846875 |
transcript.pyannote[400].end |
4731.84846875 |
transcript.pyannote[401].speaker |
SPEAKER_01 |
transcript.pyannote[401].start |
4732.01721875 |
transcript.pyannote[401].end |
4732.45596875 |
transcript.pyannote[402].speaker |
SPEAKER_13 |
transcript.pyannote[402].start |
4732.45596875 |
transcript.pyannote[402].end |
4735.64534375 |
transcript.pyannote[403].speaker |
SPEAKER_09 |
transcript.pyannote[403].start |
4735.64534375 |
transcript.pyannote[403].end |
4735.67909375 |
transcript.pyannote[404].speaker |
SPEAKER_13 |
transcript.pyannote[404].start |
4736.10096875 |
transcript.pyannote[404].end |
4736.11784375 |
transcript.pyannote[405].speaker |
SPEAKER_09 |
transcript.pyannote[405].start |
4736.11784375 |
transcript.pyannote[405].end |
4750.44471875 |
transcript.pyannote[406].speaker |
SPEAKER_13 |
transcript.pyannote[406].start |
4750.44471875 |
transcript.pyannote[406].end |
4766.37471875 |
transcript.pyannote[407].speaker |
SPEAKER_13 |
transcript.pyannote[407].start |
4767.31971875 |
transcript.pyannote[407].end |
4770.35721875 |
transcript.pyannote[408].speaker |
SPEAKER_13 |
transcript.pyannote[408].start |
4770.64409375 |
transcript.pyannote[408].end |
4771.85909375 |
transcript.pyannote[409].speaker |
SPEAKER_13 |
transcript.pyannote[409].start |
4772.29784375 |
transcript.pyannote[409].end |
4773.66471875 |
transcript.pyannote[410].speaker |
SPEAKER_13 |
transcript.pyannote[410].start |
4773.81659375 |
transcript.pyannote[410].end |
4776.31409375 |
transcript.pyannote[411].speaker |
SPEAKER_13 |
transcript.pyannote[411].start |
4776.78659375 |
transcript.pyannote[411].end |
4778.11971875 |
transcript.pyannote[412].speaker |
SPEAKER_13 |
transcript.pyannote[412].start |
4778.33909375 |
transcript.pyannote[412].end |
4779.84096875 |
transcript.pyannote[413].speaker |
SPEAKER_13 |
transcript.pyannote[413].start |
4780.33034375 |
transcript.pyannote[413].end |
4782.50721875 |
transcript.pyannote[414].speaker |
SPEAKER_13 |
transcript.pyannote[414].start |
4783.21596875 |
transcript.pyannote[414].end |
4785.29159375 |
transcript.pyannote[415].speaker |
SPEAKER_13 |
transcript.pyannote[415].start |
4785.79784375 |
transcript.pyannote[415].end |
4786.67534375 |
transcript.pyannote[416].speaker |
SPEAKER_13 |
transcript.pyannote[416].start |
4786.84409375 |
transcript.pyannote[416].end |
4787.51909375 |
transcript.pyannote[417].speaker |
SPEAKER_13 |
transcript.pyannote[417].start |
4787.70471875 |
transcript.pyannote[417].end |
4793.25659375 |
transcript.pyannote[418].speaker |
SPEAKER_13 |
transcript.pyannote[418].start |
4793.84721875 |
transcript.pyannote[418].end |
4796.14221875 |
transcript.pyannote[419].speaker |
SPEAKER_13 |
transcript.pyannote[419].start |
4796.51346875 |
transcript.pyannote[419].end |
4800.12471875 |
transcript.pyannote[420].speaker |
SPEAKER_13 |
transcript.pyannote[420].start |
4800.37784375 |
transcript.pyannote[420].end |
4802.20034375 |
transcript.pyannote[421].speaker |
SPEAKER_13 |
transcript.pyannote[421].start |
4802.62221875 |
transcript.pyannote[421].end |
4804.73159375 |
transcript.pyannote[422].speaker |
SPEAKER_13 |
transcript.pyannote[422].start |
4805.55846875 |
transcript.pyannote[422].end |
4809.96284375 |
transcript.pyannote[423].speaker |
SPEAKER_09 |
transcript.pyannote[423].start |
4809.96284375 |
transcript.pyannote[423].end |
4811.19471875 |
transcript.pyannote[424].speaker |
SPEAKER_09 |
transcript.pyannote[424].start |
4811.43096875 |
transcript.pyannote[424].end |
4823.41221875 |
transcript.pyannote[425].speaker |
SPEAKER_13 |
transcript.pyannote[425].start |
4819.66596875 |
transcript.pyannote[425].end |
4820.07096875 |
transcript.pyannote[426].speaker |
SPEAKER_10 |
transcript.pyannote[426].start |
4820.07096875 |
transcript.pyannote[426].end |
4820.08784375 |
transcript.pyannote[427].speaker |
SPEAKER_13 |
transcript.pyannote[427].start |
4822.23096875 |
transcript.pyannote[427].end |
4823.81721875 |
transcript.pyannote[428].speaker |
SPEAKER_10 |
transcript.pyannote[428].start |
4823.81721875 |
transcript.pyannote[428].end |
4823.96909375 |
transcript.pyannote[429].speaker |
SPEAKER_13 |
transcript.pyannote[429].start |
4823.96909375 |
transcript.pyannote[429].end |
4825.65659375 |
transcript.pyannote[430].speaker |
SPEAKER_13 |
transcript.pyannote[430].start |
4826.26409375 |
transcript.pyannote[430].end |
4827.44534375 |
transcript.pyannote[431].speaker |
SPEAKER_13 |
transcript.pyannote[431].start |
4827.85034375 |
transcript.pyannote[431].end |
4828.33971875 |
transcript.pyannote[432].speaker |
SPEAKER_13 |
transcript.pyannote[432].start |
4829.45346875 |
transcript.pyannote[432].end |
4849.88909375 |
transcript.pyannote[433].speaker |
SPEAKER_13 |
transcript.pyannote[433].start |
4850.07471875 |
transcript.pyannote[433].end |
4855.96409375 |
transcript.pyannote[434].speaker |
SPEAKER_09 |
transcript.pyannote[434].start |
4850.74971875 |
transcript.pyannote[434].end |
4852.03221875 |
transcript.pyannote[435].speaker |
SPEAKER_10 |
transcript.pyannote[435].start |
4852.03221875 |
transcript.pyannote[435].end |
4852.36971875 |
transcript.pyannote[436].speaker |
SPEAKER_09 |
transcript.pyannote[436].start |
4852.36971875 |
transcript.pyannote[436].end |
4852.43721875 |
transcript.pyannote[437].speaker |
SPEAKER_10 |
transcript.pyannote[437].start |
4854.39471875 |
transcript.pyannote[437].end |
4854.61409375 |
transcript.pyannote[438].speaker |
SPEAKER_10 |
transcript.pyannote[438].start |
4854.74909375 |
transcript.pyannote[438].end |
4856.43659375 |
transcript.pyannote[439].speaker |
SPEAKER_09 |
transcript.pyannote[439].start |
4855.96409375 |
transcript.pyannote[439].end |
4857.39846875 |
transcript.pyannote[440].speaker |
SPEAKER_10 |
transcript.pyannote[440].start |
4856.67284375 |
transcript.pyannote[440].end |
4857.41534375 |
transcript.pyannote[441].speaker |
SPEAKER_09 |
transcript.pyannote[441].start |
4857.41534375 |
transcript.pyannote[441].end |
4857.51659375 |
transcript.pyannote[442].speaker |
SPEAKER_10 |
transcript.pyannote[442].start |
4857.51659375 |
transcript.pyannote[442].end |
4859.23784375 |
transcript.pyannote[443].speaker |
SPEAKER_09 |
transcript.pyannote[443].start |
4857.56721875 |
transcript.pyannote[443].end |
4857.70221875 |
transcript.pyannote[444].speaker |
SPEAKER_10 |
transcript.pyannote[444].start |
4859.77784375 |
transcript.pyannote[444].end |
4861.09409375 |
transcript.pyannote[445].speaker |
SPEAKER_10 |
transcript.pyannote[445].start |
4861.34721875 |
transcript.pyannote[445].end |
4865.05971875 |
transcript.pyannote[446].speaker |
SPEAKER_10 |
transcript.pyannote[446].start |
4865.48159375 |
transcript.pyannote[446].end |
4880.44971875 |
transcript.pyannote[447].speaker |
SPEAKER_10 |
transcript.pyannote[447].start |
4880.65221875 |
transcript.pyannote[447].end |
4885.10721875 |
transcript.pyannote[448].speaker |
SPEAKER_10 |
transcript.pyannote[448].start |
4885.90034375 |
transcript.pyannote[448].end |
4886.65971875 |
transcript.pyannote[449].speaker |
SPEAKER_19 |
transcript.pyannote[449].start |
4899.56909375 |
transcript.pyannote[449].end |
4900.54784375 |
transcript.pyannote[450].speaker |
SPEAKER_19 |
transcript.pyannote[450].start |
4901.22284375 |
transcript.pyannote[450].end |
4903.12971875 |
transcript.pyannote[451].speaker |
SPEAKER_10 |
transcript.pyannote[451].start |
4903.73721875 |
transcript.pyannote[451].end |
4904.88471875 |
transcript.pyannote[452].speaker |
SPEAKER_19 |
transcript.pyannote[452].start |
4909.15409375 |
transcript.pyannote[452].end |
4909.64346875 |
transcript.pyannote[453].speaker |
SPEAKER_19 |
transcript.pyannote[453].start |
4910.03159375 |
transcript.pyannote[453].end |
4910.70659375 |
transcript.pyannote[454].speaker |
SPEAKER_19 |
transcript.pyannote[454].start |
4911.92159375 |
transcript.pyannote[454].end |
4912.84971875 |
transcript.pyannote[455].speaker |
SPEAKER_19 |
transcript.pyannote[455].start |
4913.42346875 |
transcript.pyannote[455].end |
4914.68909375 |
transcript.pyannote[456].speaker |
SPEAKER_19 |
transcript.pyannote[456].start |
4915.31346875 |
transcript.pyannote[456].end |
4917.52409375 |
transcript.pyannote[457].speaker |
SPEAKER_19 |
transcript.pyannote[457].start |
4918.45221875 |
transcript.pyannote[457].end |
4920.07221875 |
transcript.pyannote[458].speaker |
SPEAKER_19 |
transcript.pyannote[458].start |
4921.54034375 |
transcript.pyannote[458].end |
4923.31221875 |
transcript.pyannote[459].speaker |
SPEAKER_19 |
transcript.pyannote[459].start |
4923.80159375 |
transcript.pyannote[459].end |
4925.75909375 |
transcript.pyannote[460].speaker |
SPEAKER_19 |
transcript.pyannote[460].start |
4926.90659375 |
transcript.pyannote[460].end |
4928.39159375 |
transcript.pyannote[461].speaker |
SPEAKER_19 |
transcript.pyannote[461].start |
4928.79659375 |
transcript.pyannote[461].end |
4931.22659375 |
transcript.pyannote[462].speaker |
SPEAKER_19 |
transcript.pyannote[462].start |
4931.32784375 |
transcript.pyannote[462].end |
4933.28534375 |
transcript.pyannote[463].speaker |
SPEAKER_19 |
transcript.pyannote[463].start |
4933.53846875 |
transcript.pyannote[463].end |
4934.04471875 |
transcript.pyannote[464].speaker |
SPEAKER_19 |
transcript.pyannote[464].start |
4935.22596875 |
transcript.pyannote[464].end |
4937.62221875 |
transcript.pyannote[465].speaker |
SPEAKER_19 |
transcript.pyannote[465].start |
4938.49971875 |
transcript.pyannote[465].end |
4940.86221875 |
transcript.pyannote[466].speaker |
SPEAKER_19 |
transcript.pyannote[466].start |
4942.61721875 |
transcript.pyannote[466].end |
4944.10221875 |
transcript.pyannote[467].speaker |
SPEAKER_19 |
transcript.pyannote[467].start |
4945.65471875 |
transcript.pyannote[467].end |
4946.83596875 |
transcript.pyannote[468].speaker |
SPEAKER_19 |
transcript.pyannote[468].start |
4947.42659375 |
transcript.pyannote[468].end |
4948.13534375 |
transcript.pyannote[469].speaker |
SPEAKER_19 |
transcript.pyannote[469].start |
4948.79346875 |
transcript.pyannote[469].end |
4949.89034375 |
transcript.pyannote[470].speaker |
SPEAKER_19 |
transcript.pyannote[470].start |
4950.58221875 |
transcript.pyannote[470].end |
4952.25284375 |
transcript.pyannote[471].speaker |
SPEAKER_19 |
transcript.pyannote[471].start |
4952.32034375 |
transcript.pyannote[471].end |
4953.80534375 |
transcript.pyannote[472].speaker |
SPEAKER_19 |
transcript.pyannote[472].start |
4954.17659375 |
transcript.pyannote[472].end |
4955.88096875 |
transcript.pyannote[473].speaker |
SPEAKER_19 |
transcript.pyannote[473].start |
4956.65721875 |
transcript.pyannote[473].end |
4958.17596875 |
transcript.pyannote[474].speaker |
SPEAKER_19 |
transcript.pyannote[474].start |
4960.72409375 |
transcript.pyannote[474].end |
4961.93909375 |
transcript.pyannote[475].speaker |
SPEAKER_19 |
transcript.pyannote[475].start |
4962.86721875 |
transcript.pyannote[475].end |
4963.27221875 |
transcript.pyannote[476].speaker |
SPEAKER_19 |
transcript.pyannote[476].start |
4963.30596875 |
transcript.pyannote[476].end |
4965.85409375 |
transcript.pyannote[477].speaker |
SPEAKER_19 |
transcript.pyannote[477].start |
4965.97221875 |
transcript.pyannote[477].end |
4967.25471875 |
transcript.pyannote[478].speaker |
SPEAKER_19 |
transcript.pyannote[478].start |
4967.89596875 |
transcript.pyannote[478].end |
4973.21159375 |
transcript.pyannote[479].speaker |
SPEAKER_19 |
transcript.pyannote[479].start |
4973.63346875 |
transcript.pyannote[479].end |
4974.37596875 |
transcript.pyannote[480].speaker |
SPEAKER_19 |
transcript.pyannote[480].start |
4974.96659375 |
transcript.pyannote[480].end |
4975.60784375 |
transcript.pyannote[481].speaker |
SPEAKER_19 |
transcript.pyannote[481].start |
4975.89471875 |
transcript.pyannote[481].end |
4976.95784375 |
transcript.pyannote[482].speaker |
SPEAKER_19 |
transcript.pyannote[482].start |
4977.76784375 |
transcript.pyannote[482].end |
4980.36659375 |
transcript.pyannote[483].speaker |
SPEAKER_19 |
transcript.pyannote[483].start |
4980.48471875 |
transcript.pyannote[483].end |
4981.66596875 |
transcript.pyannote[484].speaker |
SPEAKER_19 |
transcript.pyannote[484].start |
4982.42534375 |
transcript.pyannote[484].end |
4983.60659375 |
transcript.pyannote[485].speaker |
SPEAKER_19 |
transcript.pyannote[485].start |
4983.94409375 |
transcript.pyannote[485].end |
4986.69471875 |
transcript.pyannote[486].speaker |
SPEAKER_02 |
transcript.pyannote[486].start |
4986.69471875 |
transcript.pyannote[486].end |
4986.71159375 |
transcript.pyannote[487].speaker |
SPEAKER_01 |
transcript.pyannote[487].start |
4986.77909375 |
transcript.pyannote[487].end |
4986.81284375 |
transcript.pyannote[488].speaker |
SPEAKER_19 |
transcript.pyannote[488].start |
4986.81284375 |
transcript.pyannote[488].end |
4989.71534375 |
transcript.pyannote[489].speaker |
SPEAKER_19 |
transcript.pyannote[489].start |
4989.90096875 |
transcript.pyannote[489].end |
4994.91284375 |
transcript.pyannote[490].speaker |
SPEAKER_19 |
transcript.pyannote[490].start |
4995.41909375 |
transcript.pyannote[490].end |
4996.24596875 |
transcript.pyannote[491].speaker |
SPEAKER_19 |
transcript.pyannote[491].start |
4996.53284375 |
transcript.pyannote[491].end |
4999.73909375 |
transcript.pyannote[492].speaker |
SPEAKER_19 |
transcript.pyannote[492].start |
5000.61659375 |
transcript.pyannote[492].end |
5005.32471875 |
transcript.pyannote[493].speaker |
SPEAKER_19 |
transcript.pyannote[493].start |
5006.08409375 |
transcript.pyannote[493].end |
5007.18096875 |
transcript.pyannote[494].speaker |
SPEAKER_19 |
transcript.pyannote[494].start |
5008.05846875 |
transcript.pyannote[494].end |
5010.25221875 |
transcript.pyannote[495].speaker |
SPEAKER_19 |
transcript.pyannote[495].start |
5010.62346875 |
transcript.pyannote[495].end |
5011.68659375 |
transcript.pyannote[496].speaker |
SPEAKER_19 |
transcript.pyannote[496].start |
5012.56409375 |
transcript.pyannote[496].end |
5016.14159375 |
transcript.pyannote[497].speaker |
SPEAKER_19 |
transcript.pyannote[497].start |
5016.83346875 |
transcript.pyannote[497].end |
5019.58409375 |
transcript.pyannote[498].speaker |
SPEAKER_09 |
transcript.pyannote[498].start |
5019.58409375 |
transcript.pyannote[498].end |
5045.31846875 |
transcript.pyannote[499].speaker |
SPEAKER_00 |
transcript.pyannote[499].start |
5036.69534375 |
transcript.pyannote[499].end |
5038.02846875 |
transcript.pyannote[500].speaker |
SPEAKER_05 |
transcript.pyannote[500].start |
5038.02846875 |
transcript.pyannote[500].end |
5038.82159375 |
transcript.pyannote[501].speaker |
SPEAKER_19 |
transcript.pyannote[501].start |
5043.44534375 |
transcript.pyannote[501].end |
5044.74471875 |
transcript.pyannote[502].speaker |
SPEAKER_19 |
transcript.pyannote[502].start |
5045.31846875 |
transcript.pyannote[502].end |
5045.33534375 |
transcript.pyannote[503].speaker |
SPEAKER_19 |
transcript.pyannote[503].start |
5046.11159375 |
transcript.pyannote[503].end |
5046.90471875 |
transcript.pyannote[504].speaker |
SPEAKER_09 |
transcript.pyannote[504].start |
5047.20846875 |
transcript.pyannote[504].end |
5047.24221875 |
transcript.pyannote[505].speaker |
SPEAKER_19 |
transcript.pyannote[505].start |
5047.24221875 |
transcript.pyannote[505].end |
5050.85346875 |
transcript.pyannote[506].speaker |
SPEAKER_19 |
transcript.pyannote[506].start |
5051.27534375 |
transcript.pyannote[506].end |
5052.99659375 |
transcript.pyannote[507].speaker |
SPEAKER_19 |
transcript.pyannote[507].start |
5053.57034375 |
transcript.pyannote[507].end |
5056.96221875 |
transcript.pyannote[508].speaker |
SPEAKER_09 |
transcript.pyannote[508].start |
5057.73846875 |
transcript.pyannote[508].end |
5057.85659375 |
transcript.pyannote[509].speaker |
SPEAKER_19 |
transcript.pyannote[509].start |
5057.85659375 |
transcript.pyannote[509].end |
5058.59909375 |
transcript.pyannote[510].speaker |
SPEAKER_09 |
transcript.pyannote[510].start |
5057.94096875 |
transcript.pyannote[510].end |
5078.49471875 |
transcript.pyannote[511].speaker |
SPEAKER_19 |
transcript.pyannote[511].start |
5060.33721875 |
transcript.pyannote[511].end |
5063.59409375 |
transcript.pyannote[512].speaker |
SPEAKER_00 |
transcript.pyannote[512].start |
5067.54284375 |
transcript.pyannote[512].end |
5069.23034375 |
transcript.pyannote[513].speaker |
SPEAKER_01 |
transcript.pyannote[513].start |
5069.23034375 |
transcript.pyannote[513].end |
5069.75346875 |
transcript.pyannote[514].speaker |
SPEAKER_00 |
transcript.pyannote[514].start |
5069.75346875 |
transcript.pyannote[514].end |
5069.80409375 |
transcript.pyannote[515].speaker |
SPEAKER_01 |
transcript.pyannote[515].start |
5070.07409375 |
transcript.pyannote[515].end |
5071.44096875 |
transcript.pyannote[516].speaker |
SPEAKER_00 |
transcript.pyannote[516].start |
5071.44096875 |
transcript.pyannote[516].end |
5071.47471875 |
transcript.pyannote[517].speaker |
SPEAKER_01 |
transcript.pyannote[517].start |
5075.32221875 |
transcript.pyannote[517].end |
5076.52034375 |
transcript.pyannote[518].speaker |
SPEAKER_19 |
transcript.pyannote[518].start |
5076.52034375 |
transcript.pyannote[518].end |
5077.24596875 |
transcript.pyannote[519].speaker |
SPEAKER_01 |
transcript.pyannote[519].start |
5077.24596875 |
transcript.pyannote[519].end |
5078.44409375 |
transcript.pyannote[520].speaker |
SPEAKER_09 |
transcript.pyannote[520].start |
5078.86596875 |
transcript.pyannote[520].end |
5091.28596875 |
transcript.pyannote[521].speaker |
SPEAKER_19 |
transcript.pyannote[521].start |
5086.27409375 |
transcript.pyannote[521].end |
5086.32471875 |
transcript.pyannote[522].speaker |
SPEAKER_01 |
transcript.pyannote[522].start |
5086.32471875 |
transcript.pyannote[522].end |
5086.72971875 |
transcript.pyannote[523].speaker |
SPEAKER_19 |
transcript.pyannote[523].start |
5086.72971875 |
transcript.pyannote[523].end |
5086.78034375 |
transcript.pyannote[524].speaker |
SPEAKER_19 |
transcript.pyannote[524].start |
5089.44659375 |
transcript.pyannote[524].end |
5090.89784375 |
transcript.pyannote[525].speaker |
SPEAKER_19 |
transcript.pyannote[525].start |
5091.28596875 |
transcript.pyannote[525].end |
5091.37034375 |
transcript.pyannote[526].speaker |
SPEAKER_09 |
transcript.pyannote[526].start |
5091.37034375 |
transcript.pyannote[526].end |
5095.75784375 |
transcript.pyannote[527].speaker |
SPEAKER_19 |
transcript.pyannote[527].start |
5092.31534375 |
transcript.pyannote[527].end |
5094.32346875 |
transcript.pyannote[528].speaker |
SPEAKER_19 |
transcript.pyannote[528].start |
5095.38659375 |
transcript.pyannote[528].end |
5095.74096875 |
transcript.pyannote[529].speaker |
SPEAKER_19 |
transcript.pyannote[529].start |
5095.75784375 |
transcript.pyannote[529].end |
5098.72784375 |
transcript.pyannote[530].speaker |
SPEAKER_19 |
transcript.pyannote[530].start |
5099.62221875 |
transcript.pyannote[530].end |
5100.41534375 |
transcript.pyannote[531].speaker |
SPEAKER_19 |
transcript.pyannote[531].start |
5101.61346875 |
transcript.pyannote[531].end |
5102.81159375 |
transcript.pyannote[532].speaker |
SPEAKER_19 |
transcript.pyannote[532].start |
5103.45284375 |
transcript.pyannote[532].end |
5104.68471875 |
transcript.pyannote[533].speaker |
SPEAKER_19 |
transcript.pyannote[533].start |
5104.80284375 |
transcript.pyannote[533].end |
5111.99159375 |
transcript.pyannote[534].speaker |
SPEAKER_09 |
transcript.pyannote[534].start |
5111.99159375 |
transcript.pyannote[534].end |
5112.02534375 |
transcript.pyannote[535].speaker |
SPEAKER_09 |
transcript.pyannote[535].start |
5112.39659375 |
transcript.pyannote[535].end |
5122.52159375 |
transcript.pyannote[536].speaker |
SPEAKER_19 |
transcript.pyannote[536].start |
5120.91846875 |
transcript.pyannote[536].end |
5122.57221875 |
transcript.pyannote[537].speaker |
SPEAKER_19 |
transcript.pyannote[537].start |
5123.06159375 |
transcript.pyannote[537].end |
5124.85034375 |
transcript.pyannote[538].speaker |
SPEAKER_09 |
transcript.pyannote[538].start |
5123.12909375 |
transcript.pyannote[538].end |
5124.71534375 |
transcript.pyannote[539].speaker |
SPEAKER_19 |
transcript.pyannote[539].start |
5125.84596875 |
transcript.pyannote[539].end |
5134.55346875 |
transcript.pyannote[540].speaker |
SPEAKER_09 |
transcript.pyannote[540].start |
5131.98846875 |
transcript.pyannote[540].end |
5148.30659375 |
transcript.pyannote[541].speaker |
SPEAKER_19 |
transcript.pyannote[541].start |
5148.30659375 |
transcript.pyannote[541].end |
5148.89721875 |
transcript.pyannote[542].speaker |
SPEAKER_09 |
transcript.pyannote[542].start |
5148.32346875 |
transcript.pyannote[542].end |
5148.77909375 |
transcript.pyannote[543].speaker |
SPEAKER_09 |
transcript.pyannote[543].start |
5148.89721875 |
transcript.pyannote[543].end |
5149.13346875 |
transcript.pyannote[544].speaker |
SPEAKER_19 |
transcript.pyannote[544].start |
5149.13346875 |
transcript.pyannote[544].end |
5155.09034375 |
transcript.pyannote[545].speaker |
SPEAKER_19 |
transcript.pyannote[545].start |
5155.30971875 |
transcript.pyannote[545].end |
5156.18721875 |
transcript.pyannote[546].speaker |
SPEAKER_19 |
transcript.pyannote[546].start |
5156.44034375 |
transcript.pyannote[546].end |
5157.18284375 |
transcript.pyannote[547].speaker |
SPEAKER_19 |
transcript.pyannote[547].start |
5157.30096875 |
transcript.pyannote[547].end |
5159.02221875 |
transcript.pyannote[548].speaker |
SPEAKER_10 |
transcript.pyannote[548].start |
5161.87409375 |
transcript.pyannote[548].end |
5164.37159375 |
transcript.pyannote[549].speaker |
SPEAKER_06 |
transcript.pyannote[549].start |
5181.68534375 |
transcript.pyannote[549].end |
5183.64284375 |
transcript.pyannote[550].speaker |
SPEAKER_06 |
transcript.pyannote[550].start |
5184.19971875 |
transcript.pyannote[550].end |
5185.02659375 |
transcript.pyannote[551].speaker |
SPEAKER_06 |
transcript.pyannote[551].start |
5185.16159375 |
transcript.pyannote[551].end |
5186.07284375 |
transcript.pyannote[552].speaker |
SPEAKER_19 |
transcript.pyannote[552].start |
5186.07284375 |
transcript.pyannote[552].end |
5186.08971875 |
transcript.pyannote[553].speaker |
SPEAKER_06 |
transcript.pyannote[553].start |
5186.69721875 |
transcript.pyannote[553].end |
5186.96721875 |
transcript.pyannote[554].speaker |
SPEAKER_19 |
transcript.pyannote[554].start |
5186.96721875 |
transcript.pyannote[554].end |
5187.81096875 |
transcript.pyannote[555].speaker |
SPEAKER_06 |
transcript.pyannote[555].start |
5188.45221875 |
transcript.pyannote[555].end |
5188.46909375 |
transcript.pyannote[556].speaker |
SPEAKER_19 |
transcript.pyannote[556].start |
5188.46909375 |
transcript.pyannote[556].end |
5190.32534375 |
transcript.pyannote[557].speaker |
SPEAKER_19 |
transcript.pyannote[557].start |
5190.83159375 |
transcript.pyannote[557].end |
5192.41784375 |
transcript.pyannote[558].speaker |
SPEAKER_19 |
transcript.pyannote[558].start |
5192.82284375 |
transcript.pyannote[558].end |
5195.08409375 |
transcript.pyannote[559].speaker |
SPEAKER_19 |
transcript.pyannote[559].start |
5195.70846875 |
transcript.pyannote[559].end |
5198.35784375 |
transcript.pyannote[560].speaker |
SPEAKER_19 |
transcript.pyannote[560].start |
5199.23534375 |
transcript.pyannote[560].end |
5205.51284375 |
transcript.pyannote[561].speaker |
SPEAKER_06 |
transcript.pyannote[561].start |
5206.03596875 |
transcript.pyannote[561].end |
5241.64221875 |
transcript.pyannote[562].speaker |
SPEAKER_19 |
transcript.pyannote[562].start |
5242.26659375 |
transcript.pyannote[562].end |
5244.86534375 |
transcript.pyannote[563].speaker |
SPEAKER_06 |
transcript.pyannote[563].start |
5245.62471875 |
transcript.pyannote[563].end |
5256.50909375 |
transcript.pyannote[564].speaker |
SPEAKER_19 |
transcript.pyannote[564].start |
5257.53846875 |
transcript.pyannote[564].end |
5259.27659375 |
transcript.pyannote[565].speaker |
SPEAKER_19 |
transcript.pyannote[565].start |
5259.54659375 |
transcript.pyannote[565].end |
5264.13659375 |
transcript.pyannote[566].speaker |
SPEAKER_19 |
transcript.pyannote[566].start |
5264.38971875 |
transcript.pyannote[566].end |
5267.59596875 |
transcript.pyannote[567].speaker |
SPEAKER_06 |
transcript.pyannote[567].start |
5268.55784375 |
transcript.pyannote[567].end |
5275.27409375 |
transcript.pyannote[568].speaker |
SPEAKER_06 |
transcript.pyannote[568].start |
5275.61159375 |
transcript.pyannote[568].end |
5287.30596875 |
transcript.pyannote[569].speaker |
SPEAKER_19 |
transcript.pyannote[569].start |
5287.76159375 |
transcript.pyannote[569].end |
5291.33909375 |
transcript.pyannote[570].speaker |
SPEAKER_19 |
transcript.pyannote[570].start |
5292.11534375 |
transcript.pyannote[570].end |
5298.86534375 |
transcript.pyannote[571].speaker |
SPEAKER_06 |
transcript.pyannote[571].start |
5295.08534375 |
transcript.pyannote[571].end |
5295.52409375 |
transcript.pyannote[572].speaker |
SPEAKER_06 |
transcript.pyannote[572].start |
5297.90346875 |
transcript.pyannote[572].end |
5298.19034375 |
transcript.pyannote[573].speaker |
SPEAKER_06 |
transcript.pyannote[573].start |
5298.54471875 |
transcript.pyannote[573].end |
5298.61221875 |
transcript.pyannote[574].speaker |
SPEAKER_19 |
transcript.pyannote[574].start |
5300.04659375 |
transcript.pyannote[574].end |
5303.52284375 |
transcript.pyannote[575].speaker |
SPEAKER_19 |
transcript.pyannote[575].start |
5303.86034375 |
transcript.pyannote[575].end |
5304.26534375 |
transcript.pyannote[576].speaker |
SPEAKER_06 |
transcript.pyannote[576].start |
5304.26534375 |
transcript.pyannote[576].end |
5311.58909375 |
transcript.pyannote[577].speaker |
SPEAKER_19 |
transcript.pyannote[577].start |
5310.74534375 |
transcript.pyannote[577].end |
5312.93909375 |
transcript.pyannote[578].speaker |
SPEAKER_06 |
transcript.pyannote[578].start |
5314.59284375 |
transcript.pyannote[578].end |
5341.62659375 |
transcript.pyannote[579].speaker |
SPEAKER_19 |
transcript.pyannote[579].start |
5341.32284375 |
transcript.pyannote[579].end |
5341.74471875 |
transcript.pyannote[580].speaker |
SPEAKER_19 |
transcript.pyannote[580].start |
5342.16659375 |
transcript.pyannote[580].end |
5343.61784375 |
transcript.pyannote[581].speaker |
SPEAKER_19 |
transcript.pyannote[581].start |
5344.30971875 |
transcript.pyannote[581].end |
5351.44784375 |
transcript.pyannote[582].speaker |
SPEAKER_19 |
transcript.pyannote[582].start |
5352.39284375 |
transcript.pyannote[582].end |
5356.03784375 |
transcript.pyannote[583].speaker |
SPEAKER_19 |
transcript.pyannote[583].start |
5356.88159375 |
transcript.pyannote[583].end |
5359.51409375 |
transcript.pyannote[584].speaker |
SPEAKER_06 |
transcript.pyannote[584].start |
5360.54346875 |
transcript.pyannote[584].end |
5381.55284375 |
transcript.pyannote[585].speaker |
SPEAKER_19 |
transcript.pyannote[585].start |
5381.97471875 |
transcript.pyannote[585].end |
5385.77159375 |
transcript.pyannote[586].speaker |
SPEAKER_19 |
transcript.pyannote[586].start |
5386.36221875 |
transcript.pyannote[586].end |
5393.36534375 |
transcript.pyannote[587].speaker |
SPEAKER_06 |
transcript.pyannote[587].start |
5389.93971875 |
transcript.pyannote[587].end |
5390.32784375 |
transcript.pyannote[588].speaker |
SPEAKER_19 |
transcript.pyannote[588].start |
5393.44971875 |
transcript.pyannote[588].end |
5395.30596875 |
transcript.pyannote[589].speaker |
SPEAKER_09 |
transcript.pyannote[589].start |
5393.66909375 |
transcript.pyannote[589].end |
5405.70096875 |
transcript.pyannote[590].speaker |
SPEAKER_19 |
transcript.pyannote[590].start |
5406.67971875 |
transcript.pyannote[590].end |
5408.53596875 |
transcript.pyannote[591].speaker |
SPEAKER_06 |
transcript.pyannote[591].start |
5407.72596875 |
transcript.pyannote[591].end |
5407.96221875 |
transcript.pyannote[592].speaker |
SPEAKER_06 |
transcript.pyannote[592].start |
5408.53596875 |
transcript.pyannote[592].end |
5408.55284375 |
transcript.pyannote[593].speaker |
SPEAKER_06 |
transcript.pyannote[593].start |
5408.78909375 |
transcript.pyannote[593].end |
5408.87346875 |
transcript.pyannote[594].speaker |
SPEAKER_19 |
transcript.pyannote[594].start |
5408.87346875 |
transcript.pyannote[594].end |
5408.89034375 |
transcript.pyannote[595].speaker |
SPEAKER_06 |
transcript.pyannote[595].start |
5408.89034375 |
transcript.pyannote[595].end |
5409.37971875 |
transcript.pyannote[596].speaker |
SPEAKER_19 |
transcript.pyannote[596].start |
5409.37971875 |
transcript.pyannote[596].end |
5409.39659375 |
transcript.pyannote[597].speaker |
SPEAKER_19 |
transcript.pyannote[597].start |
5414.83034375 |
transcript.pyannote[597].end |
5416.66971875 |
transcript.pyannote[598].speaker |
SPEAKER_19 |
transcript.pyannote[598].start |
5417.26034375 |
transcript.pyannote[598].end |
5420.17971875 |
transcript.pyannote[599].speaker |
SPEAKER_19 |
transcript.pyannote[599].start |
5421.34409375 |
transcript.pyannote[599].end |
5424.98909375 |
transcript.pyannote[600].speaker |
SPEAKER_19 |
transcript.pyannote[600].start |
5425.19159375 |
transcript.pyannote[600].end |
5425.83284375 |
transcript.pyannote[601].speaker |
SPEAKER_09 |
transcript.pyannote[601].start |
5427.38534375 |
transcript.pyannote[601].end |
5430.69284375 |
transcript.pyannote[602].speaker |
SPEAKER_19 |
transcript.pyannote[602].start |
5429.61284375 |
transcript.pyannote[602].end |
5430.86159375 |
transcript.pyannote[603].speaker |
SPEAKER_09 |
transcript.pyannote[603].start |
5430.86159375 |
transcript.pyannote[603].end |
5435.13096875 |
transcript.pyannote[604].speaker |
SPEAKER_19 |
transcript.pyannote[604].start |
5436.53159375 |
transcript.pyannote[604].end |
5437.25721875 |
transcript.pyannote[605].speaker |
SPEAKER_09 |
transcript.pyannote[605].start |
5437.25721875 |
transcript.pyannote[605].end |
5437.30784375 |
transcript.pyannote[606].speaker |
SPEAKER_19 |
transcript.pyannote[606].start |
5437.30784375 |
transcript.pyannote[606].end |
5437.47659375 |
transcript.pyannote[607].speaker |
SPEAKER_19 |
transcript.pyannote[607].start |
5437.59471875 |
transcript.pyannote[607].end |
5438.13471875 |
transcript.pyannote[608].speaker |
SPEAKER_09 |
transcript.pyannote[608].start |
5437.74659375 |
transcript.pyannote[608].end |
5438.15159375 |
transcript.pyannote[609].speaker |
SPEAKER_19 |
transcript.pyannote[609].start |
5438.15159375 |
transcript.pyannote[609].end |
5438.20221875 |
transcript.pyannote[610].speaker |
SPEAKER_19 |
transcript.pyannote[610].start |
5439.46784375 |
transcript.pyannote[610].end |
5439.48471875 |
transcript.pyannote[611].speaker |
SPEAKER_09 |
transcript.pyannote[611].start |
5439.48471875 |
transcript.pyannote[611].end |
5440.04159375 |
transcript.pyannote[612].speaker |
SPEAKER_19 |
transcript.pyannote[612].start |
5439.63659375 |
transcript.pyannote[612].end |
5439.80534375 |
transcript.pyannote[613].speaker |
SPEAKER_03 |
transcript.pyannote[613].start |
5439.80534375 |
transcript.pyannote[613].end |
5439.90659375 |
transcript.pyannote[614].speaker |
SPEAKER_19 |
transcript.pyannote[614].start |
5439.90659375 |
transcript.pyannote[614].end |
5439.97409375 |
transcript.pyannote[615].speaker |
SPEAKER_03 |
transcript.pyannote[615].start |
5439.97409375 |
transcript.pyannote[615].end |
5439.99096875 |
transcript.pyannote[616].speaker |
SPEAKER_03 |
transcript.pyannote[616].start |
5440.04159375 |
transcript.pyannote[616].end |
5440.61534375 |
transcript.pyannote[617].speaker |
SPEAKER_09 |
transcript.pyannote[617].start |
5440.61534375 |
transcript.pyannote[617].end |
5450.95971875 |
transcript.pyannote[618].speaker |
SPEAKER_09 |
transcript.pyannote[618].start |
5451.28034375 |
transcript.pyannote[618].end |
5463.80159375 |
transcript.pyannote[619].speaker |
SPEAKER_00 |
transcript.pyannote[619].start |
5458.14846875 |
transcript.pyannote[619].end |
5458.18221875 |
transcript.pyannote[620].speaker |
SPEAKER_01 |
transcript.pyannote[620].start |
5458.18221875 |
transcript.pyannote[620].end |
5458.73909375 |
transcript.pyannote[621].speaker |
SPEAKER_01 |
transcript.pyannote[621].start |
5461.35471875 |
transcript.pyannote[621].end |
5461.37159375 |
transcript.pyannote[622].speaker |
SPEAKER_19 |
transcript.pyannote[622].start |
5461.37159375 |
transcript.pyannote[622].end |
5462.51909375 |
transcript.pyannote[623].speaker |
SPEAKER_09 |
transcript.pyannote[623].start |
5464.12221875 |
transcript.pyannote[623].end |
5464.61159375 |
transcript.pyannote[624].speaker |
SPEAKER_09 |
transcript.pyannote[624].start |
5464.67909375 |
transcript.pyannote[624].end |
5465.99534375 |
transcript.pyannote[625].speaker |
SPEAKER_19 |
transcript.pyannote[625].start |
5464.96596875 |
transcript.pyannote[625].end |
5469.55596875 |
transcript.pyannote[626].speaker |
SPEAKER_03 |
transcript.pyannote[626].start |
5465.99534375 |
transcript.pyannote[626].end |
5467.27784375 |
transcript.pyannote[627].speaker |
SPEAKER_09 |
transcript.pyannote[627].start |
5467.27784375 |
transcript.pyannote[627].end |
5467.31159375 |
transcript.pyannote[628].speaker |
SPEAKER_03 |
transcript.pyannote[628].start |
5469.55596875 |
transcript.pyannote[628].end |
5469.82596875 |
transcript.pyannote[629].speaker |
SPEAKER_03 |
transcript.pyannote[629].start |
5470.09596875 |
transcript.pyannote[629].end |
5478.48284375 |
transcript.pyannote[630].speaker |
SPEAKER_19 |
transcript.pyannote[630].start |
5473.65659375 |
transcript.pyannote[630].end |
5473.70721875 |
transcript.pyannote[631].speaker |
SPEAKER_19 |
transcript.pyannote[631].start |
5475.39471875 |
transcript.pyannote[631].end |
5478.04409375 |
transcript.pyannote[632].speaker |
SPEAKER_19 |
transcript.pyannote[632].start |
5478.73596875 |
transcript.pyannote[632].end |
5481.35159375 |
transcript.pyannote[633].speaker |
SPEAKER_03 |
transcript.pyannote[633].start |
5478.97221875 |
transcript.pyannote[633].end |
5481.03096875 |
transcript.pyannote[634].speaker |
SPEAKER_05 |
transcript.pyannote[634].start |
5481.58784375 |
transcript.pyannote[634].end |
5482.22909375 |
transcript.pyannote[635].speaker |
SPEAKER_19 |
transcript.pyannote[635].start |
5482.22909375 |
transcript.pyannote[635].end |
5483.47784375 |
transcript.pyannote[636].speaker |
SPEAKER_19 |
transcript.pyannote[636].start |
5483.81534375 |
transcript.pyannote[636].end |
5493.02909375 |
transcript.pyannote[637].speaker |
SPEAKER_19 |
transcript.pyannote[637].start |
5493.56909375 |
transcript.pyannote[637].end |
5497.82159375 |
transcript.pyannote[638].speaker |
SPEAKER_03 |
transcript.pyannote[638].start |
5498.05784375 |
transcript.pyannote[638].end |
5518.51034375 |
transcript.pyannote[639].speaker |
SPEAKER_03 |
transcript.pyannote[639].start |
5519.01659375 |
transcript.pyannote[639].end |
5519.97846875 |
transcript.pyannote[640].speaker |
SPEAKER_19 |
transcript.pyannote[640].start |
5519.47221875 |
transcript.pyannote[640].end |
5519.50596875 |
transcript.pyannote[641].speaker |
SPEAKER_19 |
transcript.pyannote[641].start |
5519.97846875 |
transcript.pyannote[641].end |
5520.77159375 |
transcript.pyannote[642].speaker |
SPEAKER_03 |
transcript.pyannote[642].start |
5520.77159375 |
transcript.pyannote[642].end |
5520.97409375 |
transcript.pyannote[643].speaker |
SPEAKER_19 |
transcript.pyannote[643].start |
5520.97409375 |
transcript.pyannote[643].end |
5524.92284375 |
transcript.pyannote[644].speaker |
SPEAKER_19 |
transcript.pyannote[644].start |
5527.43721875 |
transcript.pyannote[644].end |
5529.22596875 |
transcript.pyannote[645].speaker |
SPEAKER_19 |
transcript.pyannote[645].start |
5530.71096875 |
transcript.pyannote[645].end |
5531.04846875 |
transcript.pyannote[646].speaker |
SPEAKER_19 |
transcript.pyannote[646].start |
5531.52096875 |
transcript.pyannote[646].end |
5533.51221875 |
transcript.pyannote[647].speaker |
SPEAKER_19 |
transcript.pyannote[647].start |
5533.78221875 |
transcript.pyannote[647].end |
5536.17846875 |
transcript.pyannote[648].speaker |
SPEAKER_19 |
transcript.pyannote[648].start |
5536.54971875 |
transcript.pyannote[648].end |
5538.45659375 |
transcript.pyannote[649].speaker |
SPEAKER_06 |
transcript.pyannote[649].start |
5538.45659375 |
transcript.pyannote[649].end |
5538.99659375 |
transcript.pyannote[650].speaker |
SPEAKER_19 |
transcript.pyannote[650].start |
5538.99659375 |
transcript.pyannote[650].end |
5542.99596875 |
transcript.pyannote[651].speaker |
SPEAKER_09 |
transcript.pyannote[651].start |
5543.23221875 |
transcript.pyannote[651].end |
5549.35784375 |
transcript.pyannote[652].speaker |
SPEAKER_19 |
transcript.pyannote[652].start |
5549.15534375 |
transcript.pyannote[652].end |
5551.51784375 |
transcript.pyannote[653].speaker |
SPEAKER_19 |
transcript.pyannote[653].start |
5551.56846875 |
transcript.pyannote[653].end |
5557.40721875 |
transcript.pyannote[654].speaker |
SPEAKER_19 |
transcript.pyannote[654].start |
5557.99784375 |
transcript.pyannote[654].end |
5558.45346875 |
transcript.pyannote[655].speaker |
SPEAKER_19 |
transcript.pyannote[655].start |
5559.34784375 |
transcript.pyannote[655].end |
5563.11096875 |
transcript.pyannote[656].speaker |
SPEAKER_19 |
transcript.pyannote[656].start |
5563.38096875 |
transcript.pyannote[656].end |
5564.27534375 |
transcript.pyannote[657].speaker |
SPEAKER_19 |
transcript.pyannote[657].start |
5564.61284375 |
transcript.pyannote[657].end |
5569.86096875 |
transcript.pyannote[658].speaker |
SPEAKER_01 |
transcript.pyannote[658].start |
5564.79846875 |
transcript.pyannote[658].end |
5564.84909375 |
transcript.pyannote[659].speaker |
SPEAKER_09 |
transcript.pyannote[659].start |
5564.84909375 |
transcript.pyannote[659].end |
5565.01784375 |
transcript.pyannote[660].speaker |
SPEAKER_19 |
transcript.pyannote[660].start |
5569.96221875 |
transcript.pyannote[660].end |
5570.21534375 |
transcript.pyannote[661].speaker |
SPEAKER_19 |
transcript.pyannote[661].start |
5571.22784375 |
transcript.pyannote[661].end |
5571.81846875 |
transcript.pyannote[662].speaker |
SPEAKER_09 |
transcript.pyannote[662].start |
5572.15596875 |
transcript.pyannote[662].end |
5573.59034375 |
transcript.pyannote[663].speaker |
SPEAKER_10 |
transcript.pyannote[663].start |
5573.59034375 |
transcript.pyannote[663].end |
5573.64096875 |
transcript.pyannote[664].speaker |
SPEAKER_09 |
transcript.pyannote[664].start |
5573.64096875 |
transcript.pyannote[664].end |
5574.02909375 |
transcript.pyannote[665].speaker |
SPEAKER_10 |
transcript.pyannote[665].start |
5574.02909375 |
transcript.pyannote[665].end |
5579.96909375 |
transcript.pyannote[666].speaker |
SPEAKER_15 |
transcript.pyannote[666].start |
5588.62596875 |
transcript.pyannote[666].end |
5593.82346875 |
transcript.pyannote[667].speaker |
SPEAKER_10 |
transcript.pyannote[667].start |
5593.50284375 |
transcript.pyannote[667].end |
5593.95846875 |
transcript.pyannote[668].speaker |
SPEAKER_10 |
transcript.pyannote[668].start |
5594.39721875 |
transcript.pyannote[668].end |
5596.30409375 |
transcript.pyannote[669].speaker |
SPEAKER_15 |
transcript.pyannote[669].start |
5598.78471875 |
transcript.pyannote[669].end |
5599.84784375 |
transcript.pyannote[670].speaker |
SPEAKER_10 |
transcript.pyannote[670].start |
5598.95346875 |
transcript.pyannote[670].end |
5599.91534375 |
transcript.pyannote[671].speaker |
SPEAKER_15 |
transcript.pyannote[671].start |
5600.11784375 |
transcript.pyannote[671].end |
5601.67034375 |
transcript.pyannote[672].speaker |
SPEAKER_15 |
transcript.pyannote[672].start |
5602.27784375 |
transcript.pyannote[672].end |
5602.68284375 |
transcript.pyannote[673].speaker |
SPEAKER_15 |
transcript.pyannote[673].start |
5602.93596875 |
transcript.pyannote[673].end |
5604.55596875 |
transcript.pyannote[674].speaker |
SPEAKER_15 |
transcript.pyannote[674].start |
5606.86784375 |
transcript.pyannote[674].end |
5607.37409375 |
transcript.pyannote[675].speaker |
SPEAKER_15 |
transcript.pyannote[675].start |
5608.43721875 |
transcript.pyannote[675].end |
5611.52534375 |
transcript.pyannote[676].speaker |
SPEAKER_15 |
transcript.pyannote[676].start |
5618.51159375 |
transcript.pyannote[676].end |
5621.93721875 |
transcript.pyannote[677].speaker |
SPEAKER_15 |
transcript.pyannote[677].start |
5622.81471875 |
transcript.pyannote[677].end |
5634.84659375 |
transcript.pyannote[678].speaker |
SPEAKER_06 |
transcript.pyannote[678].start |
5635.35284375 |
transcript.pyannote[678].end |
5637.78284375 |
transcript.pyannote[679].speaker |
SPEAKER_15 |
transcript.pyannote[679].start |
5636.07846875 |
transcript.pyannote[679].end |
5636.44971875 |
transcript.pyannote[680].speaker |
SPEAKER_15 |
transcript.pyannote[680].start |
5637.32721875 |
transcript.pyannote[680].end |
5647.01346875 |
transcript.pyannote[681].speaker |
SPEAKER_06 |
transcript.pyannote[681].start |
5647.11471875 |
transcript.pyannote[681].end |
5656.22721875 |
transcript.pyannote[682].speaker |
SPEAKER_15 |
transcript.pyannote[682].start |
5648.68409375 |
transcript.pyannote[682].end |
5649.84846875 |
transcript.pyannote[683].speaker |
SPEAKER_15 |
transcript.pyannote[683].start |
5654.50596875 |
transcript.pyannote[683].end |
5672.19096875 |
transcript.pyannote[684].speaker |
SPEAKER_01 |
transcript.pyannote[684].start |
5664.83346875 |
transcript.pyannote[684].end |
5664.85034375 |
transcript.pyannote[685].speaker |
SPEAKER_01 |
transcript.pyannote[685].start |
5665.39034375 |
transcript.pyannote[685].end |
5666.53784375 |
transcript.pyannote[686].speaker |
SPEAKER_15 |
transcript.pyannote[686].start |
5673.99659375 |
transcript.pyannote[686].end |
5686.51784375 |
transcript.pyannote[687].speaker |
SPEAKER_06 |
transcript.pyannote[687].start |
5686.51784375 |
transcript.pyannote[687].end |
5709.72096875 |
transcript.pyannote[688].speaker |
SPEAKER_15 |
transcript.pyannote[688].start |
5687.36159375 |
transcript.pyannote[688].end |
5688.10409375 |
transcript.pyannote[689].speaker |
SPEAKER_11 |
transcript.pyannote[689].start |
5698.83659375 |
transcript.pyannote[689].end |
5699.10659375 |
transcript.pyannote[690].speaker |
SPEAKER_15 |
transcript.pyannote[690].start |
5709.68721875 |
transcript.pyannote[690].end |
5714.74971875 |
transcript.pyannote[691].speaker |
SPEAKER_06 |
transcript.pyannote[691].start |
5710.10909375 |
transcript.pyannote[691].end |
5711.50971875 |
transcript.pyannote[692].speaker |
SPEAKER_06 |
transcript.pyannote[692].start |
5712.48846875 |
transcript.pyannote[692].end |
5713.07909375 |
transcript.pyannote[693].speaker |
SPEAKER_06 |
transcript.pyannote[693].start |
5714.61471875 |
transcript.pyannote[693].end |
5717.16284375 |
transcript.pyannote[694].speaker |
SPEAKER_15 |
transcript.pyannote[694].start |
5716.53846875 |
transcript.pyannote[694].end |
5718.07409375 |
transcript.pyannote[695].speaker |
SPEAKER_06 |
transcript.pyannote[695].start |
5718.07409375 |
transcript.pyannote[695].end |
5718.46221875 |
transcript.pyannote[696].speaker |
SPEAKER_15 |
transcript.pyannote[696].start |
5719.17096875 |
transcript.pyannote[696].end |
5722.00596875 |
transcript.pyannote[697].speaker |
SPEAKER_15 |
transcript.pyannote[697].start |
5722.46159375 |
transcript.pyannote[697].end |
5723.05221875 |
transcript.pyannote[698].speaker |
SPEAKER_15 |
transcript.pyannote[698].start |
5723.06909375 |
transcript.pyannote[698].end |
5732.02971875 |
transcript.pyannote[699].speaker |
SPEAKER_15 |
transcript.pyannote[699].start |
5732.43471875 |
transcript.pyannote[699].end |
5745.96846875 |
transcript.pyannote[700].speaker |
SPEAKER_15 |
transcript.pyannote[700].start |
5747.87534375 |
transcript.pyannote[700].end |
5748.56721875 |
transcript.pyannote[701].speaker |
SPEAKER_15 |
transcript.pyannote[701].start |
5749.52909375 |
transcript.pyannote[701].end |
5749.54596875 |
transcript.pyannote[702].speaker |
SPEAKER_09 |
transcript.pyannote[702].start |
5749.54596875 |
transcript.pyannote[702].end |
5750.47409375 |
transcript.pyannote[703].speaker |
SPEAKER_15 |
transcript.pyannote[703].start |
5749.57971875 |
transcript.pyannote[703].end |
5750.57534375 |
transcript.pyannote[704].speaker |
SPEAKER_09 |
transcript.pyannote[704].start |
5750.57534375 |
transcript.pyannote[704].end |
5752.60034375 |
transcript.pyannote[705].speaker |
SPEAKER_15 |
transcript.pyannote[705].start |
5751.38534375 |
transcript.pyannote[705].end |
5752.33034375 |
transcript.pyannote[706].speaker |
SPEAKER_15 |
transcript.pyannote[706].start |
5752.95471875 |
transcript.pyannote[706].end |
5753.39346875 |
transcript.pyannote[707].speaker |
SPEAKER_15 |
transcript.pyannote[707].start |
5754.20346875 |
transcript.pyannote[707].end |
5754.65909375 |
transcript.pyannote[708].speaker |
SPEAKER_15 |
transcript.pyannote[708].start |
5755.51971875 |
transcript.pyannote[708].end |
5756.48159375 |
transcript.pyannote[709].speaker |
SPEAKER_15 |
transcript.pyannote[709].start |
5757.13971875 |
transcript.pyannote[709].end |
5757.54471875 |
transcript.pyannote[710].speaker |
SPEAKER_15 |
transcript.pyannote[710].start |
5758.01721875 |
transcript.pyannote[710].end |
5758.62471875 |
transcript.pyannote[711].speaker |
SPEAKER_15 |
transcript.pyannote[711].start |
5759.50221875 |
transcript.pyannote[711].end |
5759.80596875 |
transcript.pyannote[712].speaker |
SPEAKER_15 |
transcript.pyannote[712].start |
5761.24034375 |
transcript.pyannote[712].end |
5761.74659375 |
transcript.pyannote[713].speaker |
SPEAKER_15 |
transcript.pyannote[713].start |
5762.30346875 |
transcript.pyannote[713].end |
5762.75909375 |
transcript.pyannote[714].speaker |
SPEAKER_15 |
transcript.pyannote[714].start |
5763.78846875 |
transcript.pyannote[714].end |
5764.66596875 |
transcript.pyannote[715].speaker |
SPEAKER_15 |
transcript.pyannote[715].start |
5765.27346875 |
transcript.pyannote[715].end |
5777.49096875 |
transcript.pyannote[716].speaker |
SPEAKER_15 |
transcript.pyannote[716].start |
5777.99721875 |
transcript.pyannote[716].end |
5796.40784375 |
transcript.pyannote[717].speaker |
SPEAKER_15 |
transcript.pyannote[717].start |
5796.84659375 |
transcript.pyannote[717].end |
5824.90971875 |
transcript.pyannote[718].speaker |
SPEAKER_15 |
transcript.pyannote[718].start |
5825.36534375 |
transcript.pyannote[718].end |
5834.17409375 |
transcript.pyannote[719].speaker |
SPEAKER_15 |
transcript.pyannote[719].start |
5834.66346875 |
transcript.pyannote[719].end |
5840.80596875 |
transcript.pyannote[720].speaker |
SPEAKER_15 |
transcript.pyannote[720].start |
5841.32909375 |
transcript.pyannote[720].end |
5842.15596875 |
transcript.pyannote[721].speaker |
SPEAKER_15 |
transcript.pyannote[721].start |
5842.64534375 |
transcript.pyannote[721].end |
5845.80096875 |
transcript.pyannote[722].speaker |
SPEAKER_15 |
transcript.pyannote[722].start |
5846.52659375 |
transcript.pyannote[722].end |
5859.62159375 |
transcript.pyannote[723].speaker |
SPEAKER_15 |
transcript.pyannote[723].start |
5860.16159375 |
transcript.pyannote[723].end |
5892.59534375 |
transcript.pyannote[724].speaker |
SPEAKER_15 |
transcript.pyannote[724].start |
5892.84846875 |
transcript.pyannote[724].end |
5893.55721875 |
transcript.pyannote[725].speaker |
SPEAKER_15 |
transcript.pyannote[725].start |
5893.65846875 |
transcript.pyannote[725].end |
5896.86471875 |
transcript.pyannote[726].speaker |
SPEAKER_15 |
transcript.pyannote[726].start |
5897.11784375 |
transcript.pyannote[726].end |
5907.02346875 |
transcript.pyannote[727].speaker |
SPEAKER_09 |
transcript.pyannote[727].start |
5908.84596875 |
transcript.pyannote[727].end |
5942.81534375 |
transcript.pyannote[728].speaker |
SPEAKER_05 |
transcript.pyannote[728].start |
5915.86596875 |
transcript.pyannote[728].end |
5916.42284375 |
transcript.pyannote[729].speaker |
SPEAKER_00 |
transcript.pyannote[729].start |
5921.18159375 |
transcript.pyannote[729].end |
5921.50221875 |
transcript.pyannote[730].speaker |
SPEAKER_00 |
transcript.pyannote[730].start |
5922.59909375 |
transcript.pyannote[730].end |
5923.03784375 |
transcript.pyannote[731].speaker |
SPEAKER_15 |
transcript.pyannote[731].start |
5923.03784375 |
transcript.pyannote[731].end |
5923.39221875 |
transcript.pyannote[732].speaker |
SPEAKER_00 |
transcript.pyannote[732].start |
5923.39221875 |
transcript.pyannote[732].end |
5923.40909375 |
transcript.pyannote[733].speaker |
SPEAKER_15 |
transcript.pyannote[733].start |
5927.59409375 |
transcript.pyannote[733].end |
5933.12909375 |
transcript.pyannote[734].speaker |
SPEAKER_15 |
transcript.pyannote[734].start |
5940.55409375 |
transcript.pyannote[734].end |
5948.35034375 |
transcript.pyannote[735].speaker |
SPEAKER_09 |
transcript.pyannote[735].start |
5945.48159375 |
transcript.pyannote[735].end |
5954.52659375 |
transcript.pyannote[736].speaker |
SPEAKER_15 |
transcript.pyannote[736].start |
5954.98221875 |
transcript.pyannote[736].end |
5964.51659375 |
transcript.pyannote[737].speaker |
SPEAKER_15 |
transcript.pyannote[737].start |
5965.15784375 |
transcript.pyannote[737].end |
5993.76096875 |
transcript.pyannote[738].speaker |
SPEAKER_15 |
transcript.pyannote[738].start |
5993.87909375 |
transcript.pyannote[738].end |
6001.77659375 |
transcript.pyannote[739].speaker |
SPEAKER_09 |
transcript.pyannote[739].start |
6002.40096875 |
transcript.pyannote[739].end |
6008.91471875 |
transcript.pyannote[740].speaker |
SPEAKER_15 |
transcript.pyannote[740].start |
6007.71659375 |
transcript.pyannote[740].end |
6008.18909375 |
transcript.pyannote[741].speaker |
SPEAKER_09 |
transcript.pyannote[741].start |
6009.60659375 |
transcript.pyannote[741].end |
6034.34534375 |
transcript.pyannote[742].speaker |
SPEAKER_00 |
transcript.pyannote[742].start |
6021.11534375 |
transcript.pyannote[742].end |
6021.52034375 |
transcript.pyannote[743].speaker |
SPEAKER_00 |
transcript.pyannote[743].start |
6022.02659375 |
transcript.pyannote[743].end |
6022.53284375 |
transcript.pyannote[744].speaker |
SPEAKER_15 |
transcript.pyannote[744].start |
6025.04721875 |
transcript.pyannote[744].end |
6025.45221875 |
transcript.pyannote[745].speaker |
SPEAKER_15 |
transcript.pyannote[745].start |
6029.28284375 |
transcript.pyannote[745].end |
6029.65409375 |
transcript.pyannote[746].speaker |
SPEAKER_15 |
transcript.pyannote[746].start |
6029.83971875 |
transcript.pyannote[746].end |
6030.26159375 |
transcript.pyannote[747].speaker |
SPEAKER_15 |
transcript.pyannote[747].start |
6031.02096875 |
transcript.pyannote[747].end |
6046.86659375 |
transcript.pyannote[748].speaker |
SPEAKER_09 |
transcript.pyannote[748].start |
6036.13409375 |
transcript.pyannote[748].end |
6037.23096875 |
transcript.pyannote[749].speaker |
SPEAKER_00 |
transcript.pyannote[749].start |
6037.23096875 |
transcript.pyannote[749].end |
6037.24784375 |
transcript.pyannote[750].speaker |
SPEAKER_01 |
transcript.pyannote[750].start |
6043.60971875 |
transcript.pyannote[750].end |
6044.14971875 |
transcript.pyannote[751].speaker |
SPEAKER_01 |
transcript.pyannote[751].start |
6046.76534375 |
transcript.pyannote[751].end |
6047.25471875 |
transcript.pyannote[752].speaker |
SPEAKER_15 |
transcript.pyannote[752].start |
6047.03534375 |
transcript.pyannote[752].end |
6056.26596875 |
transcript.pyannote[753].speaker |
SPEAKER_01 |
transcript.pyannote[753].start |
6050.91659375 |
transcript.pyannote[753].end |
6051.79409375 |
transcript.pyannote[754].speaker |
SPEAKER_09 |
transcript.pyannote[754].start |
6056.21534375 |
transcript.pyannote[754].end |
6057.75096875 |
transcript.pyannote[755].speaker |
SPEAKER_15 |
transcript.pyannote[755].start |
6057.09284375 |
transcript.pyannote[755].end |
6064.56846875 |
transcript.pyannote[756].speaker |
SPEAKER_15 |
transcript.pyannote[756].start |
6064.73721875 |
transcript.pyannote[756].end |
6064.75409375 |
transcript.pyannote[757].speaker |
SPEAKER_09 |
transcript.pyannote[757].start |
6064.75409375 |
transcript.pyannote[757].end |
6070.03596875 |
transcript.pyannote[758].speaker |
SPEAKER_15 |
transcript.pyannote[758].start |
6068.04471875 |
transcript.pyannote[758].end |
6071.68971875 |
transcript.pyannote[759].speaker |
SPEAKER_01 |
transcript.pyannote[759].start |
6070.03596875 |
transcript.pyannote[759].end |
6070.98096875 |
transcript.pyannote[760].speaker |
SPEAKER_09 |
transcript.pyannote[760].start |
6070.98096875 |
transcript.pyannote[760].end |
6071.03159375 |
transcript.pyannote[761].speaker |
SPEAKER_01 |
transcript.pyannote[761].start |
6071.03159375 |
transcript.pyannote[761].end |
6071.84159375 |
transcript.pyannote[762].speaker |
SPEAKER_09 |
transcript.pyannote[762].start |
6071.84159375 |
transcript.pyannote[762].end |
6071.94284375 |
transcript.pyannote[763].speaker |
SPEAKER_01 |
transcript.pyannote[763].start |
6071.94284375 |
transcript.pyannote[763].end |
6072.01034375 |
transcript.pyannote[764].speaker |
SPEAKER_15 |
transcript.pyannote[764].start |
6072.01034375 |
transcript.pyannote[764].end |
6076.95471875 |
transcript.pyannote[765].speaker |
SPEAKER_01 |
transcript.pyannote[765].start |
6072.98909375 |
transcript.pyannote[765].end |
6073.78221875 |
transcript.pyannote[766].speaker |
SPEAKER_15 |
transcript.pyannote[766].start |
6077.24159375 |
transcript.pyannote[766].end |
6081.62909375 |
transcript.pyannote[767].speaker |
SPEAKER_15 |
transcript.pyannote[767].start |
6086.75909375 |
transcript.pyannote[767].end |
6087.53534375 |
transcript.pyannote[768].speaker |
SPEAKER_15 |
transcript.pyannote[768].start |
6087.94034375 |
transcript.pyannote[768].end |
6117.37034375 |
transcript.pyannote[769].speaker |
SPEAKER_15 |
transcript.pyannote[769].start |
6117.74159375 |
transcript.pyannote[769].end |
6128.79471875 |
transcript.pyannote[770].speaker |
SPEAKER_15 |
transcript.pyannote[770].start |
6129.14909375 |
transcript.pyannote[770].end |
6130.53284375 |
transcript.pyannote[771].speaker |
SPEAKER_15 |
transcript.pyannote[771].start |
6131.15721875 |
transcript.pyannote[771].end |
6136.84409375 |
transcript.pyannote[772].speaker |
SPEAKER_15 |
transcript.pyannote[772].start |
6137.36721875 |
transcript.pyannote[772].end |
6165.07596875 |
transcript.pyannote[773].speaker |
SPEAKER_15 |
transcript.pyannote[773].start |
6165.43034375 |
transcript.pyannote[773].end |
6168.11346875 |
transcript.pyannote[774].speaker |
SPEAKER_15 |
transcript.pyannote[774].start |
6169.29471875 |
transcript.pyannote[774].end |
6179.14971875 |
transcript.pyannote[775].speaker |
SPEAKER_15 |
transcript.pyannote[775].start |
6179.85846875 |
transcript.pyannote[775].end |
6181.63034375 |
transcript.pyannote[776].speaker |
SPEAKER_15 |
transcript.pyannote[776].start |
6182.65971875 |
transcript.pyannote[776].end |
6183.14909375 |
transcript.pyannote[777].speaker |
SPEAKER_15 |
transcript.pyannote[777].start |
6183.50346875 |
transcript.pyannote[777].end |
6185.54534375 |
transcript.pyannote[778].speaker |
SPEAKER_03 |
transcript.pyannote[778].start |
6185.54534375 |
transcript.pyannote[778].end |
6185.56221875 |
transcript.pyannote[779].speaker |
SPEAKER_03 |
transcript.pyannote[779].start |
6185.98409375 |
transcript.pyannote[779].end |
6186.00096875 |
transcript.pyannote[780].speaker |
SPEAKER_15 |
transcript.pyannote[780].start |
6186.00096875 |
transcript.pyannote[780].end |
6186.03471875 |
transcript.pyannote[781].speaker |
SPEAKER_03 |
transcript.pyannote[781].start |
6186.03471875 |
transcript.pyannote[781].end |
6188.24534375 |
transcript.pyannote[782].speaker |
SPEAKER_03 |
transcript.pyannote[782].start |
6188.80221875 |
transcript.pyannote[782].end |
6189.47721875 |
transcript.pyannote[783].speaker |
SPEAKER_03 |
transcript.pyannote[783].start |
6189.71346875 |
transcript.pyannote[783].end |
6210.52034375 |
transcript.pyannote[784].speaker |
SPEAKER_03 |
transcript.pyannote[784].start |
6210.68909375 |
transcript.pyannote[784].end |
6211.97159375 |
transcript.pyannote[785].speaker |
SPEAKER_15 |
transcript.pyannote[785].start |
6211.97159375 |
transcript.pyannote[785].end |
6212.29221875 |
transcript.pyannote[786].speaker |
SPEAKER_03 |
transcript.pyannote[786].start |
6212.29221875 |
transcript.pyannote[786].end |
6212.32596875 |
transcript.pyannote[787].speaker |
SPEAKER_03 |
transcript.pyannote[787].start |
6212.64659375 |
transcript.pyannote[787].end |
6212.69721875 |
transcript.pyannote[788].speaker |
SPEAKER_15 |
transcript.pyannote[788].start |
6212.69721875 |
transcript.pyannote[788].end |
6213.35534375 |
transcript.pyannote[789].speaker |
SPEAKER_03 |
transcript.pyannote[789].start |
6213.35534375 |
transcript.pyannote[789].end |
6213.37221875 |
transcript.pyannote[790].speaker |
SPEAKER_15 |
transcript.pyannote[790].start |
6213.96284375 |
transcript.pyannote[790].end |
6217.82721875 |
transcript.pyannote[791].speaker |
SPEAKER_15 |
transcript.pyannote[791].start |
6218.67096875 |
transcript.pyannote[791].end |
6218.95784375 |
transcript.pyannote[792].speaker |
SPEAKER_03 |
transcript.pyannote[792].start |
6218.95784375 |
transcript.pyannote[792].end |
6219.00846875 |
transcript.pyannote[793].speaker |
SPEAKER_03 |
transcript.pyannote[793].start |
6219.56534375 |
transcript.pyannote[793].end |
6231.61409375 |
transcript.pyannote[794].speaker |
SPEAKER_15 |
transcript.pyannote[794].start |
6231.17534375 |
transcript.pyannote[794].end |
6234.29721875 |
transcript.pyannote[795].speaker |
SPEAKER_15 |
transcript.pyannote[795].start |
6235.00596875 |
transcript.pyannote[795].end |
6236.10284375 |
transcript.pyannote[796].speaker |
SPEAKER_15 |
transcript.pyannote[796].start |
6237.19971875 |
transcript.pyannote[796].end |
6238.48221875 |
transcript.pyannote[797].speaker |
SPEAKER_09 |
transcript.pyannote[797].start |
6238.71846875 |
transcript.pyannote[797].end |
6245.14784375 |
transcript.pyannote[798].speaker |
SPEAKER_15 |
transcript.pyannote[798].start |
6245.19846875 |
transcript.pyannote[798].end |
6247.29096875 |
transcript.pyannote[799].speaker |
SPEAKER_09 |
transcript.pyannote[799].start |
6246.19409375 |
transcript.pyannote[799].end |
6249.61971875 |
transcript.pyannote[800].speaker |
SPEAKER_15 |
transcript.pyannote[800].start |
6248.89409375 |
transcript.pyannote[800].end |
6257.68596875 |
transcript.pyannote[801].speaker |
SPEAKER_09 |
transcript.pyannote[801].start |
6257.83784375 |
transcript.pyannote[801].end |
6264.01409375 |
transcript.pyannote[802].speaker |
SPEAKER_15 |
transcript.pyannote[802].start |
6259.23846875 |
transcript.pyannote[802].end |
6260.53784375 |
transcript.pyannote[803].speaker |
SPEAKER_15 |
transcript.pyannote[803].start |
6261.09471875 |
transcript.pyannote[803].end |
6266.27534375 |
transcript.pyannote[804].speaker |
SPEAKER_09 |
transcript.pyannote[804].start |
6266.02221875 |
transcript.pyannote[804].end |
6267.84471875 |
transcript.pyannote[805].speaker |
SPEAKER_15 |
transcript.pyannote[805].start |
6266.29221875 |
transcript.pyannote[805].end |
6266.30909375 |
transcript.pyannote[806].speaker |
SPEAKER_15 |
transcript.pyannote[806].start |
6266.37659375 |
transcript.pyannote[806].end |
6269.90346875 |
transcript.pyannote[807].speaker |
SPEAKER_04 |
transcript.pyannote[807].start |
6267.84471875 |
transcript.pyannote[807].end |
6267.97971875 |
transcript.pyannote[808].speaker |
SPEAKER_09 |
transcript.pyannote[808].start |
6267.97971875 |
transcript.pyannote[808].end |
6268.08096875 |
transcript.pyannote[809].speaker |
SPEAKER_10 |
transcript.pyannote[809].start |
6268.08096875 |
transcript.pyannote[809].end |
6268.18221875 |
transcript.pyannote[810].speaker |
SPEAKER_01 |
transcript.pyannote[810].start |
6268.18221875 |
transcript.pyannote[810].end |
6268.21596875 |
transcript.pyannote[811].speaker |
SPEAKER_15 |
transcript.pyannote[811].start |
6270.37596875 |
transcript.pyannote[811].end |
6272.51909375 |
transcript.pyannote[812].speaker |
SPEAKER_15 |
transcript.pyannote[812].start |
6273.22784375 |
transcript.pyannote[812].end |
6287.77409375 |
transcript.pyannote[813].speaker |
SPEAKER_00 |
transcript.pyannote[813].start |
6275.74221875 |
transcript.pyannote[813].end |
6275.97846875 |
transcript.pyannote[814].speaker |
SPEAKER_15 |
transcript.pyannote[814].start |
6288.17909375 |
transcript.pyannote[814].end |
6294.00096875 |
transcript.pyannote[815].speaker |
SPEAKER_03 |
transcript.pyannote[815].start |
6294.00096875 |
transcript.pyannote[815].end |
6294.03471875 |
transcript.pyannote[816].speaker |
SPEAKER_15 |
transcript.pyannote[816].start |
6294.60846875 |
transcript.pyannote[816].end |
6295.03034375 |
transcript.pyannote[817].speaker |
SPEAKER_03 |
transcript.pyannote[817].start |
6295.03034375 |
transcript.pyannote[817].end |
6295.80659375 |
transcript.pyannote[818].speaker |
SPEAKER_15 |
transcript.pyannote[818].start |
6296.46471875 |
transcript.pyannote[818].end |
6296.48159375 |
transcript.pyannote[819].speaker |
SPEAKER_03 |
transcript.pyannote[819].start |
6296.48159375 |
transcript.pyannote[819].end |
6334.39971875 |
transcript.pyannote[820].speaker |
SPEAKER_15 |
transcript.pyannote[820].start |
6333.72471875 |
transcript.pyannote[820].end |
6341.35221875 |
transcript.pyannote[821].speaker |
SPEAKER_03 |
transcript.pyannote[821].start |
6341.09909375 |
transcript.pyannote[821].end |
6342.82034375 |
transcript.pyannote[822].speaker |
SPEAKER_03 |
transcript.pyannote[822].start |
6344.30534375 |
transcript.pyannote[822].end |
6359.12159375 |
transcript.pyannote[823].speaker |
SPEAKER_15 |
transcript.pyannote[823].start |
6357.56909375 |
transcript.pyannote[823].end |
6357.58596875 |
transcript.pyannote[824].speaker |
SPEAKER_21 |
transcript.pyannote[824].start |
6357.58596875 |
transcript.pyannote[824].end |
6358.02471875 |
transcript.pyannote[825].speaker |
SPEAKER_15 |
transcript.pyannote[825].start |
6358.02471875 |
transcript.pyannote[825].end |
6358.95284375 |
transcript.pyannote[826].speaker |
SPEAKER_15 |
transcript.pyannote[826].start |
6359.12159375 |
transcript.pyannote[826].end |
6359.29034375 |
transcript.pyannote[827].speaker |
SPEAKER_03 |
transcript.pyannote[827].start |
6359.29034375 |
transcript.pyannote[827].end |
6359.62784375 |
transcript.pyannote[828].speaker |
SPEAKER_15 |
transcript.pyannote[828].start |
6359.62784375 |
transcript.pyannote[828].end |
6361.55159375 |
transcript.pyannote[829].speaker |
SPEAKER_15 |
transcript.pyannote[829].start |
6362.07471875 |
transcript.pyannote[829].end |
6369.87096875 |
transcript.pyannote[830].speaker |
SPEAKER_15 |
transcript.pyannote[830].start |
6370.12409375 |
transcript.pyannote[830].end |
6370.98471875 |
transcript.pyannote[831].speaker |
SPEAKER_01 |
transcript.pyannote[831].start |
6371.23784375 |
transcript.pyannote[831].end |
6371.47409375 |
transcript.pyannote[832].speaker |
SPEAKER_15 |
transcript.pyannote[832].start |
6371.81159375 |
transcript.pyannote[832].end |
6375.70971875 |
transcript.pyannote[833].speaker |
SPEAKER_15 |
transcript.pyannote[833].start |
6375.89534375 |
transcript.pyannote[833].end |
6378.89909375 |
transcript.pyannote[834].speaker |
SPEAKER_15 |
transcript.pyannote[834].start |
6379.70909375 |
transcript.pyannote[834].end |
6380.01284375 |
transcript.pyannote[835].speaker |
SPEAKER_03 |
transcript.pyannote[835].start |
6380.01284375 |
transcript.pyannote[835].end |
6380.06346875 |
transcript.pyannote[836].speaker |
SPEAKER_15 |
transcript.pyannote[836].start |
6381.22784375 |
transcript.pyannote[836].end |
6386.50971875 |
transcript.pyannote[837].speaker |
SPEAKER_03 |
transcript.pyannote[837].start |
6386.32409375 |
transcript.pyannote[837].end |
6387.74159375 |
transcript.pyannote[838].speaker |
SPEAKER_15 |
transcript.pyannote[838].start |
6386.96534375 |
transcript.pyannote[838].end |
6390.93096875 |
transcript.pyannote[839].speaker |
SPEAKER_12 |
transcript.pyannote[839].start |
6390.93096875 |
transcript.pyannote[839].end |
6391.01534375 |
transcript.pyannote[840].speaker |
SPEAKER_15 |
transcript.pyannote[840].start |
6391.01534375 |
transcript.pyannote[840].end |
6391.06596875 |
transcript.pyannote[841].speaker |
SPEAKER_12 |
transcript.pyannote[841].start |
6391.06596875 |
transcript.pyannote[841].end |
6391.09971875 |
transcript.pyannote[842].speaker |
SPEAKER_15 |
transcript.pyannote[842].start |
6391.58909375 |
transcript.pyannote[842].end |
6391.60596875 |
transcript.pyannote[843].speaker |
SPEAKER_12 |
transcript.pyannote[843].start |
6391.60596875 |
transcript.pyannote[843].end |
6391.92659375 |
transcript.pyannote[844].speaker |
SPEAKER_15 |
transcript.pyannote[844].start |
6391.92659375 |
transcript.pyannote[844].end |
6391.96034375 |
transcript.pyannote[845].speaker |
SPEAKER_12 |
transcript.pyannote[845].start |
6391.96034375 |
transcript.pyannote[845].end |
6392.04471875 |
transcript.pyannote[846].speaker |
SPEAKER_12 |
transcript.pyannote[846].start |
6392.26409375 |
transcript.pyannote[846].end |
6392.55096875 |
transcript.pyannote[847].speaker |
SPEAKER_12 |
transcript.pyannote[847].start |
6393.05721875 |
transcript.pyannote[847].end |
6411.87284375 |
transcript.pyannote[848].speaker |
SPEAKER_12 |
transcript.pyannote[848].start |
6411.90659375 |
transcript.pyannote[848].end |
6411.94034375 |
transcript.pyannote[849].speaker |
SPEAKER_15 |
transcript.pyannote[849].start |
6411.94034375 |
transcript.pyannote[849].end |
6416.02409375 |
transcript.pyannote[850].speaker |
SPEAKER_15 |
transcript.pyannote[850].start |
6416.14221875 |
transcript.pyannote[850].end |
6416.73284375 |
transcript.pyannote[851].speaker |
SPEAKER_04 |
transcript.pyannote[851].start |
6417.22221875 |
transcript.pyannote[851].end |
6418.89284375 |
transcript.pyannote[852].speaker |
SPEAKER_15 |
transcript.pyannote[852].start |
6429.76034375 |
transcript.pyannote[852].end |
6431.53221875 |
transcript.pyannote[853].speaker |
SPEAKER_10 |
transcript.pyannote[853].start |
6435.07596875 |
transcript.pyannote[853].end |
6436.86471875 |
transcript.pyannote[854].speaker |
SPEAKER_15 |
transcript.pyannote[854].start |
6437.53971875 |
transcript.pyannote[854].end |
6438.23159375 |
transcript.pyannote[855].speaker |
SPEAKER_10 |
transcript.pyannote[855].start |
6444.10409375 |
transcript.pyannote[855].end |
6445.25159375 |
transcript.pyannote[856].speaker |
SPEAKER_10 |
transcript.pyannote[856].start |
6445.69034375 |
transcript.pyannote[856].end |
6457.45221875 |
transcript.pyannote[857].speaker |
SPEAKER_10 |
transcript.pyannote[857].start |
6457.84034375 |
transcript.pyannote[857].end |
6466.29471875 |
transcript.pyannote[858].speaker |
SPEAKER_10 |
transcript.pyannote[858].start |
6466.59846875 |
transcript.pyannote[858].end |
6470.46284375 |
transcript.pyannote[859].speaker |
SPEAKER_10 |
transcript.pyannote[859].start |
6471.03659375 |
transcript.pyannote[859].end |
6473.68596875 |
transcript.pyannote[860].speaker |
SPEAKER_10 |
transcript.pyannote[860].start |
6473.93909375 |
transcript.pyannote[860].end |
6495.40409375 |
transcript.pyannote[861].speaker |
SPEAKER_10 |
transcript.pyannote[861].start |
6496.29846875 |
transcript.pyannote[861].end |
6501.86721875 |
transcript.pyannote[862].speaker |
SPEAKER_10 |
transcript.pyannote[862].start |
6503.25096875 |
transcript.pyannote[862].end |
6503.97659375 |
transcript.pyannote[863].speaker |
SPEAKER_09 |
transcript.pyannote[863].start |
6503.97659375 |
transcript.pyannote[863].end |
6511.46909375 |
transcript.pyannote[864].speaker |
SPEAKER_10 |
transcript.pyannote[864].start |
6509.68034375 |
transcript.pyannote[864].end |
6510.08534375 |
transcript.pyannote[865].speaker |
SPEAKER_10 |
transcript.pyannote[865].start |
6510.76034375 |
transcript.pyannote[865].end |
6511.84034375 |
transcript.pyannote[866].speaker |
SPEAKER_10 |
transcript.pyannote[866].start |
6511.99221875 |
transcript.pyannote[866].end |
6546.72096875 |
transcript.pyannote[867].speaker |
SPEAKER_10 |
transcript.pyannote[867].start |
6547.14284375 |
transcript.pyannote[867].end |
6549.20159375 |
transcript.pyannote[868].speaker |
SPEAKER_10 |
transcript.pyannote[868].start |
6549.38721875 |
transcript.pyannote[868].end |
6561.33471875 |
transcript.pyannote[869].speaker |
SPEAKER_10 |
transcript.pyannote[869].start |
6561.72284375 |
transcript.pyannote[869].end |
6571.03784375 |
transcript.pyannote[870].speaker |
SPEAKER_09 |
transcript.pyannote[870].start |
6571.03784375 |
transcript.pyannote[870].end |
6571.07159375 |
transcript.pyannote[871].speaker |
SPEAKER_10 |
transcript.pyannote[871].start |
6571.61159375 |
transcript.pyannote[871].end |
6571.96596875 |
transcript.pyannote[872].speaker |
SPEAKER_09 |
transcript.pyannote[872].start |
6571.96596875 |
transcript.pyannote[872].end |
6578.34471875 |
transcript.pyannote[873].speaker |
SPEAKER_09 |
transcript.pyannote[873].start |
6578.42909375 |
transcript.pyannote[873].end |
6585.04409375 |
transcript.pyannote[874].speaker |
SPEAKER_10 |
transcript.pyannote[874].start |
6585.04409375 |
transcript.pyannote[874].end |
6585.06096875 |
transcript.pyannote[875].speaker |
SPEAKER_10 |
transcript.pyannote[875].start |
6585.38159375 |
transcript.pyannote[875].end |
6610.20471875 |
transcript.pyannote[876].speaker |
SPEAKER_09 |
transcript.pyannote[876].start |
6610.20471875 |
transcript.pyannote[876].end |
6610.22159375 |
transcript.pyannote[877].speaker |
SPEAKER_10 |
transcript.pyannote[877].start |
6610.74471875 |
transcript.pyannote[877].end |
6610.96409375 |
transcript.pyannote[878].speaker |
SPEAKER_09 |
transcript.pyannote[878].start |
6610.96409375 |
transcript.pyannote[878].end |
6676.08471875 |
transcript.pyannote[879].speaker |
SPEAKER_10 |
transcript.pyannote[879].start |
6674.63346875 |
transcript.pyannote[879].end |
6684.43784375 |
transcript.pyannote[880].speaker |
SPEAKER_10 |
transcript.pyannote[880].start |
6684.45471875 |
transcript.pyannote[880].end |
6702.25784375 |
transcript.pyannote[881].speaker |
SPEAKER_10 |
transcript.pyannote[881].start |
6702.74721875 |
transcript.pyannote[881].end |
6756.24096875 |
transcript.pyannote[882].speaker |
SPEAKER_07 |
transcript.pyannote[882].start |
6755.44784375 |
transcript.pyannote[882].end |
6755.56596875 |
transcript.pyannote[883].speaker |
SPEAKER_10 |
transcript.pyannote[883].start |
6756.32534375 |
transcript.pyannote[883].end |
6759.10971875 |
transcript.pyannote[884].speaker |
SPEAKER_10 |
transcript.pyannote[884].start |
6759.29534375 |
transcript.pyannote[884].end |
6759.88596875 |
transcript.pyannote[885].speaker |
SPEAKER_10 |
transcript.pyannote[885].start |
6760.61159375 |
transcript.pyannote[885].end |
6761.05034375 |
transcript.pyannote[886].speaker |
SPEAKER_10 |
transcript.pyannote[886].start |
6761.25284375 |
transcript.pyannote[886].end |
6765.31971875 |
transcript.pyannote[887].speaker |
SPEAKER_10 |
transcript.pyannote[887].start |
6765.77534375 |
transcript.pyannote[887].end |
6773.03159375 |
transcript.pyannote[888].speaker |
SPEAKER_09 |
transcript.pyannote[888].start |
6773.03159375 |
transcript.pyannote[888].end |
6773.04846875 |
transcript.pyannote[889].speaker |
SPEAKER_10 |
transcript.pyannote[889].start |
6773.04846875 |
transcript.pyannote[889].end |
6773.09909375 |
transcript.pyannote[890].speaker |
SPEAKER_09 |
transcript.pyannote[890].start |
6773.09909375 |
transcript.pyannote[890].end |
6810.54471875 |
transcript.pyannote[891].speaker |
SPEAKER_09 |
transcript.pyannote[891].start |
6810.81471875 |
transcript.pyannote[891].end |
6815.87721875 |
transcript.pyannote[892].speaker |
SPEAKER_09 |
transcript.pyannote[892].start |
6815.92784375 |
transcript.pyannote[892].end |
6829.02284375 |
transcript.pyannote[893].speaker |
SPEAKER_10 |
transcript.pyannote[893].start |
6829.02284375 |
transcript.pyannote[893].end |
6842.16846875 |
transcript.pyannote[894].speaker |
SPEAKER_10 |
transcript.pyannote[894].start |
6842.28659375 |
transcript.pyannote[894].end |
6846.62346875 |
transcript.pyannote[895].speaker |
SPEAKER_10 |
transcript.pyannote[895].start |
6846.67409375 |
transcript.pyannote[895].end |
6857.79471875 |
transcript.pyannote[896].speaker |
SPEAKER_10 |
transcript.pyannote[896].start |
6858.65534375 |
transcript.pyannote[896].end |
6882.88784375 |
transcript.pyannote[897].speaker |
SPEAKER_10 |
transcript.pyannote[897].start |
6882.98909375 |
transcript.pyannote[897].end |
6905.02784375 |
transcript.pyannote[898].speaker |
SPEAKER_10 |
transcript.pyannote[898].start |
6905.61846875 |
transcript.pyannote[898].end |
6913.27971875 |
transcript.pyannote[899].speaker |
SPEAKER_10 |
transcript.pyannote[899].start |
6914.37659375 |
transcript.pyannote[899].end |
6914.39346875 |
transcript.pyannote[900].speaker |
SPEAKER_09 |
transcript.pyannote[900].start |
6914.39346875 |
transcript.pyannote[900].end |
6922.12221875 |
transcript.pyannote[901].speaker |
SPEAKER_10 |
transcript.pyannote[901].start |
6921.02534375 |
transcript.pyannote[901].end |
6926.30721875 |
transcript.pyannote[902].speaker |
SPEAKER_09 |
transcript.pyannote[902].start |
6927.26909375 |
transcript.pyannote[902].end |
6947.55284375 |
transcript.pyannote[903].speaker |
SPEAKER_10 |
transcript.pyannote[903].start |
6931.26846875 |
transcript.pyannote[903].end |
6933.42846875 |
transcript.pyannote[904].speaker |
SPEAKER_10 |
transcript.pyannote[904].start |
6934.60971875 |
transcript.pyannote[904].end |
6934.93034375 |
transcript.pyannote[905].speaker |
SPEAKER_09 |
transcript.pyannote[905].start |
6947.68784375 |
transcript.pyannote[905].end |
6947.94096875 |
transcript.pyannote[906].speaker |
SPEAKER_09 |
transcript.pyannote[906].start |
6948.21096875 |
transcript.pyannote[906].end |
6973.65846875 |
transcript.pyannote[907].speaker |
SPEAKER_10 |
transcript.pyannote[907].start |
6957.52596875 |
transcript.pyannote[907].end |
6957.72846875 |
transcript.pyannote[908].speaker |
SPEAKER_10 |
transcript.pyannote[908].start |
6958.38659375 |
transcript.pyannote[908].end |
6958.47096875 |
transcript.pyannote[909].speaker |
SPEAKER_06 |
transcript.pyannote[909].start |
6958.47096875 |
transcript.pyannote[909].end |
6958.70721875 |
transcript.pyannote[910].speaker |
SPEAKER_10 |
transcript.pyannote[910].start |
6958.70721875 |
transcript.pyannote[910].end |
6958.79159375 |
transcript.pyannote[911].speaker |
SPEAKER_09 |
transcript.pyannote[911].start |
6974.13096875 |
transcript.pyannote[911].end |
6975.02534375 |
transcript.pyannote[912].speaker |
SPEAKER_10 |
transcript.pyannote[912].start |
6975.02534375 |
transcript.pyannote[912].end |
6992.64284375 |
transcript.pyannote[913].speaker |
SPEAKER_10 |
transcript.pyannote[913].start |
6992.91284375 |
transcript.pyannote[913].end |
6995.03909375 |
transcript.pyannote[914].speaker |
SPEAKER_10 |
transcript.pyannote[914].start |
6995.05596875 |
transcript.pyannote[914].end |
7000.96221875 |
transcript.pyannote[915].speaker |
SPEAKER_09 |
transcript.pyannote[915].start |
7000.96221875 |
transcript.pyannote[915].end |
7001.21534375 |
transcript.pyannote[916].speaker |
SPEAKER_10 |
transcript.pyannote[916].start |
7001.72159375 |
transcript.pyannote[916].end |
7001.73846875 |
transcript.pyannote[917].speaker |
SPEAKER_09 |
transcript.pyannote[917].start |
7001.73846875 |
transcript.pyannote[917].end |
7028.89034375 |
transcript.pyannote[918].speaker |
SPEAKER_09 |
transcript.pyannote[918].start |
7028.94096875 |
transcript.pyannote[918].end |
7040.66909375 |
transcript.pyannote[919].speaker |
SPEAKER_10 |
transcript.pyannote[919].start |
7035.65721875 |
transcript.pyannote[919].end |
7051.92471875 |
transcript.pyannote[920].speaker |
SPEAKER_07 |
transcript.pyannote[920].start |
7045.02284375 |
transcript.pyannote[920].end |
7045.42784375 |
transcript.pyannote[921].speaker |
SPEAKER_10 |
transcript.pyannote[921].start |
7052.07659375 |
transcript.pyannote[921].end |
7053.96659375 |
transcript.pyannote[922].speaker |
SPEAKER_09 |
transcript.pyannote[922].start |
7052.54909375 |
transcript.pyannote[922].end |
7052.83596875 |
transcript.pyannote[923].speaker |
SPEAKER_09 |
transcript.pyannote[923].start |
7053.96659375 |
transcript.pyannote[923].end |
7055.50221875 |
transcript.pyannote[924].speaker |
SPEAKER_10 |
transcript.pyannote[924].start |
7055.50221875 |
transcript.pyannote[924].end |
7055.53596875 |
transcript.pyannote[925].speaker |
SPEAKER_09 |
transcript.pyannote[925].start |
7055.53596875 |
transcript.pyannote[925].end |
7060.68284375 |
transcript.pyannote[926].speaker |
SPEAKER_10 |
transcript.pyannote[926].start |
7055.56971875 |
transcript.pyannote[926].end |
7056.05909375 |
transcript.pyannote[927].speaker |
SPEAKER_10 |
transcript.pyannote[927].start |
7059.83909375 |
transcript.pyannote[927].end |
7063.68659375 |
transcript.pyannote[928].speaker |
SPEAKER_09 |
transcript.pyannote[928].start |
7062.74159375 |
transcript.pyannote[928].end |
7072.61346875 |
transcript.pyannote[929].speaker |
SPEAKER_10 |
transcript.pyannote[929].start |
7070.95971875 |
transcript.pyannote[929].end |
7075.26284375 |
transcript.pyannote[930].speaker |
SPEAKER_09 |
transcript.pyannote[930].start |
7074.50346875 |
transcript.pyannote[930].end |
7082.31659375 |
transcript.pyannote[931].speaker |
SPEAKER_10 |
transcript.pyannote[931].start |
7081.03409375 |
transcript.pyannote[931].end |
7081.69221875 |
transcript.pyannote[932].speaker |
SPEAKER_15 |
transcript.pyannote[932].start |
7082.01284375 |
transcript.pyannote[932].end |
7085.59034375 |
transcript.pyannote[933].speaker |
SPEAKER_08 |
transcript.pyannote[933].start |
7093.96034375 |
transcript.pyannote[933].end |
7095.78284375 |
transcript.pyannote[934].speaker |
SPEAKER_08 |
transcript.pyannote[934].start |
7101.36846875 |
transcript.pyannote[934].end |
7136.11409375 |
transcript.pyannote[935].speaker |
SPEAKER_24 |
transcript.pyannote[935].start |
7103.02221875 |
transcript.pyannote[935].end |
7104.30471875 |
transcript.pyannote[936].speaker |
SPEAKER_08 |
transcript.pyannote[936].start |
7136.35034375 |
transcript.pyannote[936].end |
7152.48284375 |
transcript.pyannote[937].speaker |
SPEAKER_08 |
transcript.pyannote[937].start |
7152.97221875 |
transcript.pyannote[937].end |
7205.03159375 |
transcript.pyannote[938].speaker |
SPEAKER_08 |
transcript.pyannote[938].start |
7205.36909375 |
transcript.pyannote[938].end |
7224.55596875 |
transcript.pyannote[939].speaker |
SPEAKER_09 |
transcript.pyannote[939].start |
7225.58534375 |
transcript.pyannote[939].end |
7251.84284375 |
transcript.pyannote[940].speaker |
SPEAKER_08 |
transcript.pyannote[940].start |
7232.11596875 |
transcript.pyannote[940].end |
7232.68971875 |
transcript.pyannote[941].speaker |
SPEAKER_08 |
transcript.pyannote[941].start |
7233.16221875 |
transcript.pyannote[941].end |
7234.20846875 |
transcript.pyannote[942].speaker |
SPEAKER_08 |
transcript.pyannote[942].start |
7249.37909375 |
transcript.pyannote[942].end |
7266.81096875 |
transcript.pyannote[943].speaker |
SPEAKER_09 |
transcript.pyannote[943].start |
7257.44534375 |
transcript.pyannote[943].end |
7257.46221875 |
transcript.pyannote[944].speaker |
SPEAKER_01 |
transcript.pyannote[944].start |
7257.46221875 |
transcript.pyannote[944].end |
7260.14534375 |
transcript.pyannote[945].speaker |
SPEAKER_08 |
transcript.pyannote[945].start |
7266.99659375 |
transcript.pyannote[945].end |
7277.03721875 |
transcript.pyannote[946].speaker |
SPEAKER_09 |
transcript.pyannote[946].start |
7277.03721875 |
transcript.pyannote[946].end |
7294.68846875 |
transcript.pyannote[947].speaker |
SPEAKER_08 |
transcript.pyannote[947].start |
7295.12721875 |
transcript.pyannote[947].end |
7317.21659375 |
transcript.pyannote[948].speaker |
SPEAKER_08 |
transcript.pyannote[948].start |
7317.65534375 |
transcript.pyannote[948].end |
7329.72096875 |
transcript.pyannote[949].speaker |
SPEAKER_01 |
transcript.pyannote[949].start |
7319.76471875 |
transcript.pyannote[949].end |
7320.27096875 |
transcript.pyannote[950].speaker |
SPEAKER_01 |
transcript.pyannote[950].start |
7320.77721875 |
transcript.pyannote[950].end |
7321.53659375 |
transcript.pyannote[951].speaker |
SPEAKER_00 |
transcript.pyannote[951].start |
7321.53659375 |
transcript.pyannote[951].end |
7321.73909375 |
transcript.pyannote[952].speaker |
SPEAKER_00 |
transcript.pyannote[952].start |
7321.82346875 |
transcript.pyannote[952].end |
7322.04284375 |
transcript.pyannote[953].speaker |
SPEAKER_01 |
transcript.pyannote[953].start |
7322.04284375 |
transcript.pyannote[953].end |
7322.31284375 |
transcript.pyannote[954].speaker |
SPEAKER_00 |
transcript.pyannote[954].start |
7322.31284375 |
transcript.pyannote[954].end |
7322.44784375 |
transcript.pyannote[955].speaker |
SPEAKER_00 |
transcript.pyannote[955].start |
7324.86096875 |
transcript.pyannote[955].end |
7324.87784375 |
transcript.pyannote[956].speaker |
SPEAKER_01 |
transcript.pyannote[956].start |
7324.87784375 |
transcript.pyannote[956].end |
7326.44721875 |
transcript.pyannote[957].speaker |
SPEAKER_08 |
transcript.pyannote[957].start |
7330.00784375 |
transcript.pyannote[957].end |
7350.67971875 |
transcript.pyannote[958].speaker |
SPEAKER_08 |
transcript.pyannote[958].start |
7351.52346875 |
transcript.pyannote[958].end |
7373.03909375 |
transcript.pyannote[959].speaker |
SPEAKER_09 |
transcript.pyannote[959].start |
7373.03909375 |
transcript.pyannote[959].end |
7374.52409375 |
transcript.pyannote[960].speaker |
SPEAKER_09 |
transcript.pyannote[960].start |
7374.97971875 |
transcript.pyannote[960].end |
7392.93471875 |
transcript.pyannote[961].speaker |
SPEAKER_08 |
transcript.pyannote[961].start |
7375.31721875 |
transcript.pyannote[961].end |
7375.48596875 |
transcript.pyannote[962].speaker |
SPEAKER_08 |
transcript.pyannote[962].start |
7386.50534375 |
transcript.pyannote[962].end |
7391.34846875 |
transcript.pyannote[963].speaker |
SPEAKER_09 |
transcript.pyannote[963].start |
7393.81221875 |
transcript.pyannote[963].end |
7399.66784375 |
transcript.pyannote[964].speaker |
SPEAKER_09 |
transcript.pyannote[964].start |
7401.11909375 |
transcript.pyannote[964].end |
7410.97409375 |
transcript.pyannote[965].speaker |
SPEAKER_08 |
transcript.pyannote[965].start |
7407.59909375 |
transcript.pyannote[965].end |
7409.05034375 |
transcript.pyannote[966].speaker |
SPEAKER_09 |
transcript.pyannote[966].start |
7412.27346875 |
transcript.pyannote[966].end |
7422.83721875 |
transcript.pyannote[967].speaker |
SPEAKER_08 |
transcript.pyannote[967].start |
7416.64409375 |
transcript.pyannote[967].end |
7416.66096875 |
transcript.pyannote[968].speaker |
SPEAKER_07 |
transcript.pyannote[968].start |
7416.66096875 |
transcript.pyannote[968].end |
7416.67784375 |
transcript.pyannote[969].speaker |
SPEAKER_08 |
transcript.pyannote[969].start |
7416.67784375 |
transcript.pyannote[969].end |
7416.69471875 |
transcript.pyannote[970].speaker |
SPEAKER_07 |
transcript.pyannote[970].start |
7416.69471875 |
transcript.pyannote[970].end |
7417.62284375 |
transcript.pyannote[971].speaker |
SPEAKER_07 |
transcript.pyannote[971].start |
7421.75721875 |
transcript.pyannote[971].end |
7422.58409375 |
transcript.pyannote[972].speaker |
SPEAKER_09 |
transcript.pyannote[972].start |
7423.25909375 |
transcript.pyannote[972].end |
7434.97034375 |
transcript.pyannote[973].speaker |
SPEAKER_07 |
transcript.pyannote[973].start |
7423.88346875 |
transcript.pyannote[973].end |
7424.57534375 |
transcript.pyannote[974].speaker |
SPEAKER_08 |
transcript.pyannote[974].start |
7432.28721875 |
transcript.pyannote[974].end |
7432.35471875 |
transcript.pyannote[975].speaker |
SPEAKER_01 |
transcript.pyannote[975].start |
7432.35471875 |
transcript.pyannote[975].end |
7432.60784375 |
transcript.pyannote[976].speaker |
SPEAKER_08 |
transcript.pyannote[976].start |
7432.60784375 |
transcript.pyannote[976].end |
7432.67534375 |
transcript.pyannote[977].speaker |
SPEAKER_08 |
transcript.pyannote[977].start |
7434.97034375 |
transcript.pyannote[977].end |
7458.15659375 |
transcript.pyannote[978].speaker |
SPEAKER_08 |
transcript.pyannote[978].start |
7458.56159375 |
transcript.pyannote[978].end |
7465.42971875 |
transcript.pyannote[979].speaker |
SPEAKER_09 |
transcript.pyannote[979].start |
7460.24909375 |
transcript.pyannote[979].end |
7460.83971875 |
transcript.pyannote[980].speaker |
SPEAKER_08 |
transcript.pyannote[980].start |
7465.76721875 |
transcript.pyannote[980].end |
7480.02659375 |
transcript.pyannote[981].speaker |
SPEAKER_09 |
transcript.pyannote[981].start |
7472.92221875 |
transcript.pyannote[981].end |
7473.00659375 |
transcript.pyannote[982].speaker |
SPEAKER_01 |
transcript.pyannote[982].start |
7473.00659375 |
transcript.pyannote[982].end |
7473.02346875 |
transcript.pyannote[983].speaker |
SPEAKER_09 |
transcript.pyannote[983].start |
7473.02346875 |
transcript.pyannote[983].end |
7473.27659375 |
transcript.pyannote[984].speaker |
SPEAKER_01 |
transcript.pyannote[984].start |
7473.27659375 |
transcript.pyannote[984].end |
7473.29346875 |
transcript.pyannote[985].speaker |
SPEAKER_09 |
transcript.pyannote[985].start |
7473.29346875 |
transcript.pyannote[985].end |
7473.34409375 |
transcript.pyannote[986].speaker |
SPEAKER_00 |
transcript.pyannote[986].start |
7473.34409375 |
transcript.pyannote[986].end |
7473.37784375 |
transcript.pyannote[987].speaker |
SPEAKER_09 |
transcript.pyannote[987].start |
7480.02659375 |
transcript.pyannote[987].end |
7492.80096875 |
transcript.pyannote[988].speaker |
SPEAKER_08 |
transcript.pyannote[988].start |
7480.51596875 |
transcript.pyannote[988].end |
7481.00534375 |
transcript.pyannote[989].speaker |
SPEAKER_08 |
transcript.pyannote[989].start |
7490.87721875 |
transcript.pyannote[989].end |
7494.50534375 |
transcript.pyannote[990].speaker |
SPEAKER_09 |
transcript.pyannote[990].start |
7493.00346875 |
transcript.pyannote[990].end |
7493.02034375 |
transcript.pyannote[991].speaker |
SPEAKER_09 |
transcript.pyannote[991].start |
7493.03721875 |
transcript.pyannote[991].end |
7493.13846875 |
transcript.pyannote[992].speaker |
SPEAKER_09 |
transcript.pyannote[992].start |
7493.23971875 |
transcript.pyannote[992].end |
7494.42096875 |
transcript.pyannote[993].speaker |
SPEAKER_09 |
transcript.pyannote[993].start |
7494.50534375 |
transcript.pyannote[993].end |
7494.89346875 |
transcript.pyannote[994].speaker |
SPEAKER_08 |
transcript.pyannote[994].start |
7494.89346875 |
transcript.pyannote[994].end |
7510.70534375 |
transcript.pyannote[995].speaker |
SPEAKER_08 |
transcript.pyannote[995].start |
7510.90784375 |
transcript.pyannote[995].end |
7519.36221875 |
transcript.pyannote[996].speaker |
SPEAKER_08 |
transcript.pyannote[996].start |
7520.23971875 |
transcript.pyannote[996].end |
7528.12034375 |
transcript.pyannote[997].speaker |
SPEAKER_08 |
transcript.pyannote[997].start |
7528.54221875 |
transcript.pyannote[997].end |
7537.01346875 |
transcript.pyannote[998].speaker |
SPEAKER_08 |
transcript.pyannote[998].start |
7537.68846875 |
transcript.pyannote[998].end |
7548.77534375 |
transcript.pyannote[999].speaker |
SPEAKER_08 |
transcript.pyannote[999].start |
7549.41659375 |
transcript.pyannote[999].end |
7590.30471875 |
transcript.pyannote[1000].speaker |
SPEAKER_08 |
transcript.pyannote[1000].start |
7590.72659375 |
transcript.pyannote[1000].end |
7592.90346875 |
transcript.pyannote[1001].speaker |
SPEAKER_08 |
transcript.pyannote[1001].start |
7594.10159375 |
transcript.pyannote[1001].end |
7595.02971875 |
transcript.pyannote[1002].speaker |
SPEAKER_09 |
transcript.pyannote[1002].start |
7595.02971875 |
transcript.pyannote[1002].end |
7595.51909375 |
transcript.pyannote[1003].speaker |
SPEAKER_09 |
transcript.pyannote[1003].start |
7596.97034375 |
transcript.pyannote[1003].end |
7603.66971875 |
transcript.pyannote[1004].speaker |
SPEAKER_08 |
transcript.pyannote[1004].start |
7600.12596875 |
transcript.pyannote[1004].end |
7601.07096875 |
transcript.pyannote[1005].speaker |
SPEAKER_08 |
transcript.pyannote[1005].start |
7601.99909375 |
transcript.pyannote[1005].end |
7603.75409375 |
transcript.pyannote[1006].speaker |
SPEAKER_09 |
transcript.pyannote[1006].start |
7603.75409375 |
transcript.pyannote[1006].end |
7603.97346875 |
transcript.pyannote[1007].speaker |
SPEAKER_08 |
transcript.pyannote[1007].start |
7603.97346875 |
transcript.pyannote[1007].end |
7610.33534375 |
transcript.pyannote[1008].speaker |
SPEAKER_09 |
transcript.pyannote[1008].start |
7609.22159375 |
transcript.pyannote[1008].end |
7624.20659375 |
transcript.pyannote[1009].speaker |
SPEAKER_08 |
transcript.pyannote[1009].start |
7613.32221875 |
transcript.pyannote[1009].end |
7613.77784375 |
transcript.pyannote[1010].speaker |
SPEAKER_08 |
transcript.pyannote[1010].start |
7615.75221875 |
transcript.pyannote[1010].end |
7616.93346875 |
transcript.pyannote[1011].speaker |
SPEAKER_08 |
transcript.pyannote[1011].start |
7620.76409375 |
transcript.pyannote[1011].end |
7649.72159375 |
transcript.pyannote[1012].speaker |
SPEAKER_06 |
transcript.pyannote[1012].start |
7635.91784375 |
transcript.pyannote[1012].end |
7636.15409375 |
transcript.pyannote[1013].speaker |
SPEAKER_08 |
transcript.pyannote[1013].start |
7650.36284375 |
transcript.pyannote[1013].end |
7652.03346875 |
transcript.pyannote[1014].speaker |
SPEAKER_09 |
transcript.pyannote[1014].start |
7652.03346875 |
transcript.pyannote[1014].end |
7657.97346875 |
transcript.pyannote[1015].speaker |
SPEAKER_08 |
transcript.pyannote[1015].start |
7652.69159375 |
transcript.pyannote[1015].end |
7654.12596875 |
transcript.pyannote[1016].speaker |
SPEAKER_08 |
transcript.pyannote[1016].start |
7656.57284375 |
transcript.pyannote[1016].end |
7657.04534375 |
transcript.pyannote[1017].speaker |
SPEAKER_08 |
transcript.pyannote[1017].start |
7657.97346875 |
transcript.pyannote[1017].end |
7659.96471875 |
transcript.pyannote[1018].speaker |
SPEAKER_08 |
transcript.pyannote[1018].start |
7660.36971875 |
transcript.pyannote[1018].end |
7662.15846875 |
transcript.pyannote[1019].speaker |
SPEAKER_08 |
transcript.pyannote[1019].start |
7662.79971875 |
transcript.pyannote[1019].end |
7663.79534375 |
transcript.pyannote[1020].speaker |
SPEAKER_08 |
transcript.pyannote[1020].start |
7664.16659375 |
transcript.pyannote[1020].end |
7667.92971875 |
transcript.pyannote[1021].speaker |
SPEAKER_09 |
transcript.pyannote[1021].start |
7669.39784375 |
transcript.pyannote[1021].end |
7670.68034375 |
transcript.pyannote[1022].speaker |
SPEAKER_09 |
transcript.pyannote[1022].start |
7670.96721875 |
transcript.pyannote[1022].end |
7671.03471875 |
transcript.pyannote[1023].speaker |
SPEAKER_09 |
transcript.pyannote[1023].start |
7671.13596875 |
transcript.pyannote[1023].end |
7671.55784375 |
transcript.pyannote[1024].speaker |
SPEAKER_09 |
transcript.pyannote[1024].start |
7671.64221875 |
transcript.pyannote[1024].end |
7674.59534375 |
transcript.pyannote[1025].speaker |
SPEAKER_09 |
transcript.pyannote[1025].start |
7675.38846875 |
transcript.pyannote[1025].end |
7677.97034375 |
transcript.pyannote[1026].speaker |
SPEAKER_08 |
transcript.pyannote[1026].start |
7677.97034375 |
transcript.pyannote[1026].end |
7678.05471875 |
transcript.pyannote[1027].speaker |
SPEAKER_08 |
transcript.pyannote[1027].start |
7678.81409375 |
transcript.pyannote[1027].end |
7681.71659375 |
transcript.pyannote[1028].speaker |
SPEAKER_08 |
transcript.pyannote[1028].start |
7682.57721875 |
transcript.pyannote[1028].end |
7684.38284375 |
transcript.pyannote[1029].speaker |
SPEAKER_08 |
transcript.pyannote[1029].start |
7685.19284375 |
transcript.pyannote[1029].end |
7686.98159375 |
transcript.pyannote[1030].speaker |
SPEAKER_08 |
transcript.pyannote[1030].start |
7687.48784375 |
transcript.pyannote[1030].end |
7688.77034375 |
transcript.pyannote[1031].speaker |
SPEAKER_08 |
transcript.pyannote[1031].start |
7689.83346875 |
transcript.pyannote[1031].end |
7690.89659375 |
transcript.pyannote[1032].speaker |
SPEAKER_08 |
transcript.pyannote[1032].start |
7691.72346875 |
transcript.pyannote[1032].end |
7692.06096875 |
transcript.pyannote[1033].speaker |
SPEAKER_08 |
transcript.pyannote[1033].start |
7692.38159375 |
transcript.pyannote[1033].end |
7694.77784375 |
transcript.pyannote[1034].speaker |
SPEAKER_08 |
transcript.pyannote[1034].start |
7695.18284375 |
transcript.pyannote[1034].end |
7701.71346875 |
transcript.pyannote[1035].speaker |
SPEAKER_08 |
transcript.pyannote[1035].start |
7702.60784375 |
transcript.pyannote[1035].end |
7735.04159375 |
transcript.pyannote[1036].speaker |
SPEAKER_08 |
transcript.pyannote[1036].start |
7736.42534375 |
transcript.pyannote[1036].end |
7739.91846875 |
transcript.pyannote[1037].speaker |
SPEAKER_03 |
transcript.pyannote[1037].start |
7741.31909375 |
transcript.pyannote[1037].end |
7741.33596875 |
transcript.pyannote[1038].speaker |
SPEAKER_08 |
transcript.pyannote[1038].start |
7741.33596875 |
transcript.pyannote[1038].end |
7741.36971875 |
transcript.pyannote[1039].speaker |
SPEAKER_03 |
transcript.pyannote[1039].start |
7741.36971875 |
transcript.pyannote[1039].end |
7741.80846875 |
transcript.pyannote[1040].speaker |
SPEAKER_03 |
transcript.pyannote[1040].start |
7742.09534375 |
transcript.pyannote[1040].end |
7747.41096875 |
transcript.pyannote[1041].speaker |
SPEAKER_08 |
transcript.pyannote[1041].start |
7747.34346875 |
transcript.pyannote[1041].end |
7763.44221875 |
transcript.pyannote[1042].speaker |
SPEAKER_03 |
transcript.pyannote[1042].start |
7763.44221875 |
transcript.pyannote[1042].end |
7765.53471875 |
transcript.pyannote[1043].speaker |
SPEAKER_08 |
transcript.pyannote[1043].start |
7764.87659375 |
transcript.pyannote[1043].end |
7769.33159375 |
transcript.pyannote[1044].speaker |
SPEAKER_03 |
transcript.pyannote[1044].start |
7768.50471875 |
transcript.pyannote[1044].end |
7768.57221875 |
transcript.pyannote[1045].speaker |
SPEAKER_03 |
transcript.pyannote[1045].start |
7768.62284375 |
transcript.pyannote[1045].end |
7769.65221875 |
transcript.pyannote[1046].speaker |
SPEAKER_08 |
transcript.pyannote[1046].start |
7770.04034375 |
transcript.pyannote[1046].end |
7771.82909375 |
transcript.pyannote[1047].speaker |
SPEAKER_10 |
transcript.pyannote[1047].start |
7770.93471875 |
transcript.pyannote[1047].end |
7772.03159375 |
transcript.pyannote[1048].speaker |
SPEAKER_10 |
transcript.pyannote[1048].start |
7772.41971875 |
transcript.pyannote[1048].end |
7774.90034375 |
transcript.pyannote[1049].speaker |
SPEAKER_01 |
transcript.pyannote[1049].start |
7775.62596875 |
transcript.pyannote[1049].end |
7778.39346875 |
transcript.pyannote[1050].speaker |
SPEAKER_10 |
transcript.pyannote[1050].start |
7779.40596875 |
transcript.pyannote[1050].end |
7788.92346875 |
transcript.pyannote[1051].speaker |
SPEAKER_10 |
transcript.pyannote[1051].start |
7790.59409375 |
transcript.pyannote[1051].end |
7791.60659375 |
transcript.pyannote[1052].speaker |
SPEAKER_10 |
transcript.pyannote[1052].start |
7792.12971875 |
transcript.pyannote[1052].end |
7793.37846875 |
transcript.pyannote[1053].speaker |
SPEAKER_10 |
transcript.pyannote[1053].start |
7793.86784375 |
transcript.pyannote[1053].end |
7795.48784375 |
transcript.pyannote[1054].speaker |
SPEAKER_10 |
transcript.pyannote[1054].start |
7800.07784375 |
transcript.pyannote[1054].end |
7800.82034375 |
transcript.pyannote[1055].speaker |
SPEAKER_10 |
transcript.pyannote[1055].start |
7803.68909375 |
transcript.pyannote[1055].end |
7804.16159375 |
transcript.pyannote[1056].speaker |
SPEAKER_09 |
transcript.pyannote[1056].start |
7804.16159375 |
transcript.pyannote[1056].end |
7804.31346875 |
transcript.pyannote[1057].speaker |
SPEAKER_09 |
transcript.pyannote[1057].start |
7804.54971875 |
transcript.pyannote[1057].end |
7805.68034375 |
transcript.pyannote[1058].speaker |
SPEAKER_09 |
transcript.pyannote[1058].start |
7805.95034375 |
transcript.pyannote[1058].end |
7813.34159375 |
transcript.pyannote[1059].speaker |
SPEAKER_09 |
transcript.pyannote[1059].start |
7813.72971875 |
transcript.pyannote[1059].end |
7817.89784375 |
transcript.pyannote[1060].speaker |
SPEAKER_09 |
transcript.pyannote[1060].start |
7818.30284375 |
transcript.pyannote[1060].end |
7830.33471875 |
transcript.pyannote[1061].speaker |
SPEAKER_09 |
transcript.pyannote[1061].start |
7830.84096875 |
transcript.pyannote[1061].end |
7833.50721875 |
transcript.pyannote[1062].speaker |
SPEAKER_09 |
transcript.pyannote[1062].start |
7833.84471875 |
transcript.pyannote[1062].end |
7839.41346875 |
transcript.pyannote[1063].speaker |
SPEAKER_09 |
transcript.pyannote[1063].start |
7840.54409375 |
transcript.pyannote[1063].end |
7847.61471875 |
transcript.pyannote[1064].speaker |
SPEAKER_09 |
transcript.pyannote[1064].start |
7848.12096875 |
transcript.pyannote[1064].end |
7849.69034375 |
transcript.pyannote[1065].speaker |
SPEAKER_09 |
transcript.pyannote[1065].start |
7850.16284375 |
transcript.pyannote[1065].end |
7854.02721875 |
transcript.pyannote[1066].speaker |
SPEAKER_09 |
transcript.pyannote[1066].start |
7854.21284375 |
transcript.pyannote[1066].end |
7857.73971875 |
transcript.pyannote[1067].speaker |
SPEAKER_09 |
transcript.pyannote[1067].start |
7858.71846875 |
transcript.pyannote[1067].end |
7859.49471875 |
transcript.pyannote[1068].speaker |
SPEAKER_09 |
transcript.pyannote[1068].start |
7859.86596875 |
transcript.pyannote[1068].end |
7860.67596875 |
transcript.pyannote[1069].speaker |
SPEAKER_09 |
transcript.pyannote[1069].start |
7861.48596875 |
transcript.pyannote[1069].end |
7875.23909375 |
transcript.pyannote[1070].speaker |
SPEAKER_09 |
transcript.pyannote[1070].start |
7875.77909375 |
transcript.pyannote[1070].end |
7893.68346875 |
transcript.pyannote[1071].speaker |
SPEAKER_09 |
transcript.pyannote[1071].start |
7893.97034375 |
transcript.pyannote[1071].end |
7907.03159375 |
transcript.pyannote[1072].speaker |
SPEAKER_09 |
transcript.pyannote[1072].start |
7907.47034375 |
transcript.pyannote[1072].end |
7913.54534375 |
transcript.pyannote[1073].speaker |
SPEAKER_09 |
transcript.pyannote[1073].start |
7914.30471875 |
transcript.pyannote[1073].end |
7946.92409375 |
transcript.pyannote[1074].speaker |
SPEAKER_09 |
transcript.pyannote[1074].start |
7947.44721875 |
transcript.pyannote[1074].end |
7951.00784375 |
transcript.pyannote[1075].speaker |
SPEAKER_09 |
transcript.pyannote[1075].start |
7951.29471875 |
transcript.pyannote[1075].end |
7952.71221875 |
transcript.pyannote[1076].speaker |
SPEAKER_09 |
transcript.pyannote[1076].start |
7952.98221875 |
transcript.pyannote[1076].end |
7959.05721875 |
transcript.pyannote[1077].speaker |
SPEAKER_09 |
transcript.pyannote[1077].start |
7959.71534375 |
transcript.pyannote[1077].end |
7960.03596875 |
transcript.pyannote[1078].speaker |
SPEAKER_10 |
transcript.pyannote[1078].start |
7960.03596875 |
transcript.pyannote[1078].end |
7960.93034375 |
transcript.pyannote[1079].speaker |
SPEAKER_10 |
transcript.pyannote[1079].start |
7962.97221875 |
transcript.pyannote[1079].end |
7963.22534375 |
transcript.pyannote[1080].speaker |
SPEAKER_09 |
transcript.pyannote[1080].start |
7968.37221875 |
transcript.pyannote[1080].end |
7979.83034375 |
transcript.pyannote[1081].speaker |
SPEAKER_09 |
transcript.pyannote[1081].start |
7980.87659375 |
transcript.pyannote[1081].end |
7984.40346875 |
transcript.pyannote[1082].speaker |
SPEAKER_09 |
transcript.pyannote[1082].start |
7984.92659375 |
transcript.pyannote[1082].end |
7995.57471875 |
transcript.pyannote[1083].speaker |
SPEAKER_09 |
transcript.pyannote[1083].start |
7996.36784375 |
transcript.pyannote[1083].end |
7997.14409375 |
transcript.pyannote[1084].speaker |
SPEAKER_09 |
transcript.pyannote[1084].start |
7997.65034375 |
transcript.pyannote[1084].end |
8000.58659375 |
transcript.pyannote[1085].speaker |
SPEAKER_09 |
transcript.pyannote[1085].start |
8000.94096875 |
transcript.pyannote[1085].end |
8002.35846875 |
transcript.pyannote[1086].speaker |
SPEAKER_09 |
transcript.pyannote[1086].start |
8002.96596875 |
transcript.pyannote[1086].end |
8006.77971875 |
transcript.pyannote[1087].speaker |
SPEAKER_09 |
transcript.pyannote[1087].start |
8007.74159375 |
transcript.pyannote[1087].end |
8009.46284375 |
transcript.pyannote[1088].speaker |
SPEAKER_09 |
transcript.pyannote[1088].start |
8010.67784375 |
transcript.pyannote[1088].end |
8012.02784375 |
transcript.pyannote[1089].speaker |
SPEAKER_09 |
transcript.pyannote[1089].start |
8012.73659375 |
transcript.pyannote[1089].end |
8018.17034375 |
transcript.pyannote[1090].speaker |
SPEAKER_09 |
transcript.pyannote[1090].start |
8019.14909375 |
transcript.pyannote[1090].end |
8019.70596875 |
transcript.pyannote[1091].speaker |
SPEAKER_09 |
transcript.pyannote[1091].start |
8020.21221875 |
transcript.pyannote[1091].end |
8022.94596875 |
transcript.pyannote[1092].speaker |
SPEAKER_09 |
transcript.pyannote[1092].start |
8023.57034375 |
transcript.pyannote[1092].end |
8036.09159375 |
transcript.pyannote[1093].speaker |
SPEAKER_09 |
transcript.pyannote[1093].start |
8036.74971875 |
transcript.pyannote[1093].end |
8038.23471875 |
transcript.pyannote[1094].speaker |
SPEAKER_04 |
transcript.pyannote[1094].start |
8038.89284375 |
transcript.pyannote[1094].end |
8038.92659375 |
transcript.pyannote[1095].speaker |
SPEAKER_03 |
transcript.pyannote[1095].start |
8038.92659375 |
transcript.pyannote[1095].end |
8039.19659375 |
transcript.pyannote[1096].speaker |
SPEAKER_04 |
transcript.pyannote[1096].start |
8039.19659375 |
transcript.pyannote[1096].end |
8039.21346875 |
transcript.pyannote[1097].speaker |
SPEAKER_03 |
transcript.pyannote[1097].start |
8039.21346875 |
transcript.pyannote[1097].end |
8039.23034375 |
transcript.pyannote[1098].speaker |
SPEAKER_09 |
transcript.pyannote[1098].start |
8039.23034375 |
transcript.pyannote[1098].end |
8040.39471875 |
transcript.pyannote[1099].speaker |
SPEAKER_03 |
transcript.pyannote[1099].start |
8041.79534375 |
transcript.pyannote[1099].end |
8058.43409375 |
transcript.pyannote[1100].speaker |
SPEAKER_09 |
transcript.pyannote[1100].start |
8058.43409375 |
transcript.pyannote[1100].end |
8058.46784375 |
transcript.pyannote[1101].speaker |
SPEAKER_03 |
transcript.pyannote[1101].start |
8059.09221875 |
transcript.pyannote[1101].end |
8059.83471875 |
transcript.pyannote[1102].speaker |
SPEAKER_09 |
transcript.pyannote[1102].start |
8059.83471875 |
transcript.pyannote[1102].end |
8059.85159375 |
transcript.pyannote[1103].speaker |
SPEAKER_09 |
transcript.pyannote[1103].start |
8061.55596875 |
transcript.pyannote[1103].end |
8074.09409375 |
transcript.pyannote[1104].speaker |
SPEAKER_03 |
transcript.pyannote[1104].start |
8076.74346875 |
transcript.pyannote[1104].end |
8093.83784375 |
transcript.pyannote[1105].speaker |
SPEAKER_09 |
transcript.pyannote[1105].start |
8092.80846875 |
transcript.pyannote[1105].end |
8098.14096875 |
transcript.pyannote[1106].speaker |
SPEAKER_09 |
transcript.pyannote[1106].start |
8099.55846875 |
transcript.pyannote[1106].end |
8100.75659375 |
transcript.pyannote[1107].speaker |
SPEAKER_09 |
transcript.pyannote[1107].start |
8100.97596875 |
transcript.pyannote[1107].end |
8102.34284375 |
transcript.pyannote[1108].speaker |
SPEAKER_09 |
transcript.pyannote[1108].start |
8103.37221875 |
transcript.pyannote[1108].end |
8105.61659375 |
transcript.pyannote[1109].speaker |
SPEAKER_09 |
transcript.pyannote[1109].start |
8106.35909375 |
transcript.pyannote[1109].end |
8107.40534375 |
transcript.pyannote[1110].speaker |
SPEAKER_09 |
transcript.pyannote[1110].start |
8108.11409375 |
transcript.pyannote[1110].end |
8109.22784375 |
transcript.pyannote[1111].speaker |
SPEAKER_09 |
transcript.pyannote[1111].start |
8110.02096875 |
transcript.pyannote[1111].end |
8121.22596875 |
transcript.pyannote[1112].speaker |
SPEAKER_09 |
transcript.pyannote[1112].start |
8121.51284375 |
transcript.pyannote[1112].end |
8123.53784375 |
transcript.pyannote[1113].speaker |
SPEAKER_09 |
transcript.pyannote[1113].start |
8124.17909375 |
transcript.pyannote[1113].end |
8125.68096875 |
transcript.pyannote[1114].speaker |
SPEAKER_09 |
transcript.pyannote[1114].start |
8126.22096875 |
transcript.pyannote[1114].end |
8128.75221875 |
transcript.pyannote[1115].speaker |
SPEAKER_09 |
transcript.pyannote[1115].start |
8129.47784375 |
transcript.pyannote[1115].end |
8131.57034375 |
transcript.pyannote[1116].speaker |
SPEAKER_09 |
transcript.pyannote[1116].start |
8131.63784375 |
transcript.pyannote[1116].end |
8141.47596875 |
transcript.pyannote[1117].speaker |
SPEAKER_09 |
transcript.pyannote[1117].start |
8141.91471875 |
transcript.pyannote[1117].end |
8146.06596875 |
transcript.pyannote[1118].speaker |
SPEAKER_09 |
transcript.pyannote[1118].start |
8146.47096875 |
transcript.pyannote[1118].end |
8148.02346875 |
transcript.pyannote[1119].speaker |
SPEAKER_09 |
transcript.pyannote[1119].start |
8148.96846875 |
transcript.pyannote[1119].end |
8152.96784375 |
transcript.pyannote[1120].speaker |
SPEAKER_09 |
transcript.pyannote[1120].start |
8153.44034375 |
transcript.pyannote[1120].end |
8162.40096875 |
transcript.pyannote[1121].speaker |
SPEAKER_09 |
transcript.pyannote[1121].start |
8163.37971875 |
transcript.pyannote[1121].end |
8165.60721875 |
transcript.pyannote[1122].speaker |
SPEAKER_09 |
transcript.pyannote[1122].start |
8166.14721875 |
transcript.pyannote[1122].end |
8168.03721875 |
transcript.pyannote[1123].speaker |
SPEAKER_11 |
transcript.pyannote[1123].start |
8168.03721875 |
transcript.pyannote[1123].end |
8169.20159375 |
transcript.pyannote[1124].speaker |
SPEAKER_11 |
transcript.pyannote[1124].start |
8170.21409375 |
transcript.pyannote[1124].end |
8171.53034375 |
transcript.pyannote[1125].speaker |
SPEAKER_11 |
transcript.pyannote[1125].start |
8173.13346875 |
transcript.pyannote[1125].end |
8173.67346875 |
transcript.pyannote[1126].speaker |
SPEAKER_09 |
transcript.pyannote[1126].start |
8173.67346875 |
transcript.pyannote[1126].end |
8173.69034375 |
transcript.pyannote[1127].speaker |
SPEAKER_11 |
transcript.pyannote[1127].start |
8174.16284375 |
transcript.pyannote[1127].end |
8175.68159375 |
transcript.pyannote[1128].speaker |
SPEAKER_09 |
transcript.pyannote[1128].start |
8175.68159375 |
transcript.pyannote[1128].end |
8175.69846875 |
transcript.pyannote[1129].speaker |
SPEAKER_09 |
transcript.pyannote[1129].start |
8176.20471875 |
transcript.pyannote[1129].end |
8178.93846875 |
transcript.pyannote[1130].speaker |
SPEAKER_09 |
transcript.pyannote[1130].start |
8179.84971875 |
transcript.pyannote[1130].end |
8181.75659375 |
transcript.pyannote[1131].speaker |
SPEAKER_09 |
transcript.pyannote[1131].start |
8182.63409375 |
transcript.pyannote[1131].end |
8184.57471875 |
transcript.pyannote[1132].speaker |
SPEAKER_09 |
transcript.pyannote[1132].start |
8185.50284375 |
transcript.pyannote[1132].end |
8185.78971875 |
transcript.pyannote[1133].speaker |
SPEAKER_09 |
transcript.pyannote[1133].start |
8186.66721875 |
transcript.pyannote[1133].end |
8187.49409375 |
transcript.pyannote[1134].speaker |
SPEAKER_09 |
transcript.pyannote[1134].start |
8188.92846875 |
transcript.pyannote[1134].end |
8191.78034375 |
transcript.pyannote[1135].speaker |
SPEAKER_09 |
transcript.pyannote[1135].start |
8194.46346875 |
transcript.pyannote[1135].end |
8196.01596875 |
transcript.pyannote[1136].speaker |
SPEAKER_09 |
transcript.pyannote[1136].start |
8197.01159375 |
transcript.pyannote[1136].end |
8197.83846875 |
transcript.pyannote[1137].speaker |
SPEAKER_09 |
transcript.pyannote[1137].start |
8198.51346875 |
transcript.pyannote[1137].end |
8205.85409375 |
transcript.pyannote[1138].speaker |
SPEAKER_09 |
transcript.pyannote[1138].start |
8206.57971875 |
transcript.pyannote[1138].end |
8207.84534375 |
transcript.pyannote[1139].speaker |
SPEAKER_09 |
transcript.pyannote[1139].start |
8208.08159375 |
transcript.pyannote[1139].end |
8210.03909375 |
transcript.pyannote[1140].speaker |
SPEAKER_09 |
transcript.pyannote[1140].start |
8211.05159375 |
transcript.pyannote[1140].end |
8212.48596875 |
transcript.pyannote[1141].speaker |
SPEAKER_09 |
transcript.pyannote[1141].start |
8212.80659375 |
transcript.pyannote[1141].end |
8214.20721875 |
transcript.pyannote[1142].speaker |
SPEAKER_09 |
transcript.pyannote[1142].start |
8215.18596875 |
transcript.pyannote[1142].end |
8218.03784375 |
transcript.pyannote[1143].speaker |
SPEAKER_09 |
transcript.pyannote[1143].start |
8220.36659375 |
transcript.pyannote[1143].end |
8228.06159375 |
transcript.pyannote[1144].speaker |
SPEAKER_09 |
transcript.pyannote[1144].start |
8229.20909375 |
transcript.pyannote[1144].end |
8230.74471875 |
transcript.pyannote[1145].speaker |
SPEAKER_09 |
transcript.pyannote[1145].start |
8233.20846875 |
transcript.pyannote[1145].end |
8234.15346875 |
transcript.pyannote[1146].speaker |
SPEAKER_09 |
transcript.pyannote[1146].start |
8235.58784375 |
transcript.pyannote[1146].end |
8236.02659375 |
transcript.pyannote[1147].speaker |
SPEAKER_09 |
transcript.pyannote[1147].start |
8236.29659375 |
transcript.pyannote[1147].end |
8239.03034375 |
transcript.pyannote[1148].speaker |
SPEAKER_10 |
transcript.pyannote[1148].start |
8239.03034375 |
transcript.pyannote[1148].end |
8239.36784375 |
transcript.pyannote[1149].speaker |
SPEAKER_10 |
transcript.pyannote[1149].start |
8239.89096875 |
transcript.pyannote[1149].end |
8240.78534375 |
transcript.pyannote[1150].speaker |
SPEAKER_10 |
transcript.pyannote[1150].start |
8241.35909375 |
transcript.pyannote[1150].end |
8242.35471875 |
transcript.pyannote[1151].speaker |
SPEAKER_10 |
transcript.pyannote[1151].start |
8243.50221875 |
transcript.pyannote[1151].end |
8244.63284375 |
transcript.pyannote[1152].speaker |
SPEAKER_10 |
transcript.pyannote[1152].start |
8245.22346875 |
transcript.pyannote[1152].end |
8245.30784375 |
transcript.pyannote[1153].speaker |
SPEAKER_10 |
transcript.pyannote[1153].start |
8245.88159375 |
transcript.pyannote[1153].end |
8247.21471875 |
transcript.pyannote[1154].speaker |
SPEAKER_10 |
transcript.pyannote[1154].start |
8249.45909375 |
transcript.pyannote[1154].end |
8250.15096875 |
transcript.pyannote[1155].speaker |
SPEAKER_10 |
transcript.pyannote[1155].start |
8251.21409375 |
transcript.pyannote[1155].end |
8252.22659375 |
transcript.pyannote[1156].speaker |
SPEAKER_09 |
transcript.pyannote[1156].start |
8260.51221875 |
transcript.pyannote[1156].end |
8261.54159375 |
transcript.pyannote[1157].speaker |
SPEAKER_09 |
transcript.pyannote[1157].start |
8261.99721875 |
transcript.pyannote[1157].end |
8264.44409375 |
transcript.pyannote[1158].speaker |
SPEAKER_09 |
transcript.pyannote[1158].start |
8264.64659375 |
transcript.pyannote[1158].end |
8265.42284375 |
transcript.pyannote[1159].speaker |
SPEAKER_09 |
transcript.pyannote[1159].start |
8265.89534375 |
transcript.pyannote[1159].end |
8266.73909375 |
transcript.pyannote[1160].speaker |
SPEAKER_09 |
transcript.pyannote[1160].start |
8267.56596875 |
transcript.pyannote[1160].end |
8269.32096875 |
transcript.pyannote[1161].speaker |
SPEAKER_09 |
transcript.pyannote[1161].start |
8270.06346875 |
transcript.pyannote[1161].end |
8282.26409375 |
transcript.pyannote[1162].speaker |
SPEAKER_09 |
transcript.pyannote[1162].start |
8283.74909375 |
transcript.pyannote[1162].end |
8286.31409375 |
transcript.pyannote[1163].speaker |
SPEAKER_09 |
transcript.pyannote[1163].start |
8286.44909375 |
transcript.pyannote[1163].end |
8289.21659375 |
transcript.pyannote[1164].speaker |
SPEAKER_09 |
transcript.pyannote[1164].start |
8289.40221875 |
transcript.pyannote[1164].end |
8291.02221875 |
transcript.pyannote[1165].speaker |
SPEAKER_09 |
transcript.pyannote[1165].start |
8291.64659375 |
transcript.pyannote[1165].end |
8301.26534375 |
transcript.pyannote[1166].speaker |
SPEAKER_09 |
transcript.pyannote[1166].start |
8301.73784375 |
transcript.pyannote[1166].end |
8303.74596875 |
transcript.pyannote[1167].speaker |
SPEAKER_09 |
transcript.pyannote[1167].start |
8304.65721875 |
transcript.pyannote[1167].end |
8311.93034375 |
transcript.pyannote[1168].speaker |
SPEAKER_09 |
transcript.pyannote[1168].start |
8312.84159375 |
transcript.pyannote[1168].end |
8319.25409375 |
transcript.pyannote[1169].speaker |
SPEAKER_09 |
transcript.pyannote[1169].start |
8319.87846875 |
transcript.pyannote[1169].end |
8321.81909375 |
transcript.pyannote[1170].speaker |
SPEAKER_09 |
transcript.pyannote[1170].start |
8323.32096875 |
transcript.pyannote[1170].end |
8324.67096875 |
transcript.pyannote[1171].speaker |
SPEAKER_09 |
transcript.pyannote[1171].start |
8324.78909375 |
transcript.pyannote[1171].end |
8327.69159375 |
transcript.pyannote[1172].speaker |
SPEAKER_09 |
transcript.pyannote[1172].start |
8329.58159375 |
transcript.pyannote[1172].end |
8331.48846875 |
transcript.pyannote[1173].speaker |
SPEAKER_09 |
transcript.pyannote[1173].start |
8331.92721875 |
transcript.pyannote[1173].end |
8334.81284375 |
transcript.pyannote[1174].speaker |
SPEAKER_09 |
transcript.pyannote[1174].start |
8335.57221875 |
transcript.pyannote[1174].end |
8338.93034375 |
transcript.pyannote[1175].speaker |
SPEAKER_09 |
transcript.pyannote[1175].start |
8339.31846875 |
transcript.pyannote[1175].end |
8342.71034375 |
transcript.pyannote[1176].speaker |
SPEAKER_09 |
transcript.pyannote[1176].start |
8343.16596875 |
transcript.pyannote[1176].end |
8347.75596875 |
transcript.pyannote[1177].speaker |
SPEAKER_09 |
transcript.pyannote[1177].start |
8348.14409375 |
transcript.pyannote[1177].end |
8349.34221875 |
transcript.pyannote[1178].speaker |
SPEAKER_09 |
transcript.pyannote[1178].start |
8350.21971875 |
transcript.pyannote[1178].end |
8351.41784375 |
transcript.pyannote[1179].speaker |
SPEAKER_09 |
transcript.pyannote[1179].start |
8352.00846875 |
transcript.pyannote[1179].end |
8360.31096875 |
transcript.pyannote[1180].speaker |
SPEAKER_09 |
transcript.pyannote[1180].start |
8360.54721875 |
transcript.pyannote[1180].end |
8363.26409375 |
transcript.pyannote[1181].speaker |
SPEAKER_09 |
transcript.pyannote[1181].start |
8363.53409375 |
transcript.pyannote[1181].end |
8367.53346875 |
transcript.pyannote[1182].speaker |
SPEAKER_09 |
transcript.pyannote[1182].start |
8368.34346875 |
transcript.pyannote[1182].end |
8371.60034375 |
transcript.pyannote[1183].speaker |
SPEAKER_09 |
transcript.pyannote[1183].start |
8372.10659375 |
transcript.pyannote[1183].end |
8374.63784375 |
transcript.pyannote[1184].speaker |
SPEAKER_09 |
transcript.pyannote[1184].start |
8375.22846875 |
transcript.pyannote[1184].end |
8376.00471875 |
transcript.pyannote[1185].speaker |
SPEAKER_09 |
transcript.pyannote[1185].start |
8377.69221875 |
transcript.pyannote[1185].end |
8378.45159375 |
transcript.pyannote[1186].speaker |
SPEAKER_09 |
transcript.pyannote[1186].start |
8379.48096875 |
transcript.pyannote[1186].end |
8380.02096875 |
transcript.pyannote[1187].speaker |
SPEAKER_09 |
transcript.pyannote[1187].start |
8380.61159375 |
transcript.pyannote[1187].end |
8381.08409375 |
transcript.pyannote[1188].speaker |
SPEAKER_09 |
transcript.pyannote[1188].start |
8381.91096875 |
transcript.pyannote[1188].end |
8384.45909375 |
transcript.pyannote[1189].speaker |
SPEAKER_09 |
transcript.pyannote[1189].start |
8384.93159375 |
transcript.pyannote[1189].end |
8386.34909375 |
transcript.pyannote[1190].speaker |
SPEAKER_09 |
transcript.pyannote[1190].start |
8386.66971875 |
transcript.pyannote[1190].end |
8392.15409375 |
transcript.pyannote[1191].speaker |
SPEAKER_09 |
transcript.pyannote[1191].start |
8392.45784375 |
transcript.pyannote[1191].end |
8399.64659375 |
transcript.pyannote[1192].speaker |
SPEAKER_09 |
transcript.pyannote[1192].start |
8400.57471875 |
transcript.pyannote[1192].end |
8407.03784375 |
transcript.pyannote[1193].speaker |
SPEAKER_09 |
transcript.pyannote[1193].start |
8407.94909375 |
transcript.pyannote[1193].end |
8416.38659375 |
transcript.pyannote[1194].speaker |
SPEAKER_09 |
transcript.pyannote[1194].start |
8417.77034375 |
transcript.pyannote[1194].end |
8420.11596875 |
transcript.pyannote[1195].speaker |
SPEAKER_09 |
transcript.pyannote[1195].start |
8420.40284375 |
transcript.pyannote[1195].end |
8421.26346875 |
transcript.pyannote[1196].speaker |
SPEAKER_09 |
transcript.pyannote[1196].start |
8421.73596875 |
transcript.pyannote[1196].end |
8423.03534375 |
transcript.pyannote[1197].speaker |
SPEAKER_09 |
transcript.pyannote[1197].start |
8423.20409375 |
transcript.pyannote[1197].end |
8424.97596875 |
transcript.pyannote[1198].speaker |
SPEAKER_08 |
transcript.pyannote[1198].start |
8424.97596875 |
transcript.pyannote[1198].end |
8426.83221875 |
transcript.pyannote[1199].speaker |
SPEAKER_08 |
transcript.pyannote[1199].start |
8427.82784375 |
transcript.pyannote[1199].end |
8430.40971875 |
transcript.pyannote[1200].speaker |
SPEAKER_08 |
transcript.pyannote[1200].start |
8430.61221875 |
transcript.pyannote[1200].end |
8432.36721875 |
transcript.pyannote[1201].speaker |
SPEAKER_09 |
transcript.pyannote[1201].start |
8433.16034375 |
transcript.pyannote[1201].end |
8433.17721875 |
transcript.pyannote[1202].speaker |
SPEAKER_08 |
transcript.pyannote[1202].start |
8433.17721875 |
transcript.pyannote[1202].end |
8433.21096875 |
transcript.pyannote[1203].speaker |
SPEAKER_09 |
transcript.pyannote[1203].start |
8433.21096875 |
transcript.pyannote[1203].end |
8433.63284375 |
transcript.pyannote[1204].speaker |
SPEAKER_08 |
transcript.pyannote[1204].start |
8433.63284375 |
transcript.pyannote[1204].end |
8433.83534375 |
transcript.pyannote[1205].speaker |
SPEAKER_09 |
transcript.pyannote[1205].start |
8433.83534375 |
transcript.pyannote[1205].end |
8433.88596875 |
transcript.pyannote[1206].speaker |
SPEAKER_09 |
transcript.pyannote[1206].start |
8435.57346875 |
transcript.pyannote[1206].end |
8461.02096875 |
transcript.pyannote[1207].speaker |
SPEAKER_09 |
transcript.pyannote[1207].start |
8463.01221875 |
transcript.pyannote[1207].end |
8463.80534375 |
transcript.pyannote[1208].speaker |
SPEAKER_09 |
transcript.pyannote[1208].start |
8464.73346875 |
transcript.pyannote[1208].end |
8466.18471875 |
transcript.pyannote[1209].speaker |
SPEAKER_09 |
transcript.pyannote[1209].start |
8466.96096875 |
transcript.pyannote[1209].end |
8470.31909375 |
transcript.pyannote[1210].speaker |
SPEAKER_09 |
transcript.pyannote[1210].start |
8471.02784375 |
transcript.pyannote[1210].end |
8475.93846875 |
transcript.pyannote[1211].speaker |
SPEAKER_09 |
transcript.pyannote[1211].start |
8477.03534375 |
transcript.pyannote[1211].end |
8477.71034375 |
transcript.pyannote[1212].speaker |
SPEAKER_09 |
transcript.pyannote[1212].start |
8478.08159375 |
transcript.pyannote[1212].end |
8478.82409375 |
transcript.pyannote[1213].speaker |
SPEAKER_09 |
transcript.pyannote[1213].start |
8479.19534375 |
transcript.pyannote[1213].end |
8480.10659375 |
transcript.pyannote[1214].speaker |
SPEAKER_09 |
transcript.pyannote[1214].start |
8480.73096875 |
transcript.pyannote[1214].end |
8482.78971875 |
transcript.pyannote[1215].speaker |
SPEAKER_09 |
transcript.pyannote[1215].start |
8483.49846875 |
transcript.pyannote[1215].end |
8486.18159375 |
transcript.pyannote[1216].speaker |
SPEAKER_09 |
transcript.pyannote[1216].start |
8486.94096875 |
transcript.pyannote[1216].end |
8491.10909375 |
transcript.pyannote[1217].speaker |
SPEAKER_09 |
transcript.pyannote[1217].start |
8491.88534375 |
transcript.pyannote[1217].end |
8495.07471875 |
transcript.pyannote[1218].speaker |
SPEAKER_09 |
transcript.pyannote[1218].start |
8495.44596875 |
transcript.pyannote[1218].end |
8503.10721875 |
transcript.pyannote[1219].speaker |
SPEAKER_10 |
transcript.pyannote[1219].start |
8503.96784375 |
transcript.pyannote[1219].end |
8508.62534375 |
transcript.pyannote[1220].speaker |
SPEAKER_18 |
transcript.pyannote[1220].start |
8518.02471875 |
transcript.pyannote[1220].end |
8519.98221875 |
transcript.pyannote[1221].speaker |
SPEAKER_18 |
transcript.pyannote[1221].start |
8520.48846875 |
transcript.pyannote[1221].end |
8526.14159375 |
transcript.pyannote[1222].speaker |
SPEAKER_10 |
transcript.pyannote[1222].start |
8525.66909375 |
transcript.pyannote[1222].end |
8526.68159375 |
transcript.pyannote[1223].speaker |
SPEAKER_10 |
transcript.pyannote[1223].start |
8527.15409375 |
transcript.pyannote[1223].end |
8529.09471875 |
transcript.pyannote[1224].speaker |
SPEAKER_18 |
transcript.pyannote[1224].start |
8529.16221875 |
transcript.pyannote[1224].end |
8532.73971875 |
transcript.pyannote[1225].speaker |
SPEAKER_10 |
transcript.pyannote[1225].start |
8530.25909375 |
transcript.pyannote[1225].end |
8530.66409375 |
transcript.pyannote[1226].speaker |
SPEAKER_09 |
transcript.pyannote[1226].start |
8530.66409375 |
transcript.pyannote[1226].end |
8530.73159375 |
transcript.pyannote[1227].speaker |
SPEAKER_10 |
transcript.pyannote[1227].start |
8532.73971875 |
transcript.pyannote[1227].end |
8533.26284375 |
transcript.pyannote[1228].speaker |
SPEAKER_18 |
transcript.pyannote[1228].start |
8533.22909375 |
transcript.pyannote[1228].end |
8533.65096875 |
transcript.pyannote[1229].speaker |
SPEAKER_09 |
transcript.pyannote[1229].start |
8533.26284375 |
transcript.pyannote[1229].end |
8533.29659375 |
transcript.pyannote[1230].speaker |
SPEAKER_10 |
transcript.pyannote[1230].start |
8533.29659375 |
transcript.pyannote[1230].end |
8533.34721875 |
transcript.pyannote[1231].speaker |
SPEAKER_10 |
transcript.pyannote[1231].start |
8533.36409375 |
transcript.pyannote[1231].end |
8533.51596875 |
transcript.pyannote[1232].speaker |
SPEAKER_09 |
transcript.pyannote[1232].start |
8533.51596875 |
transcript.pyannote[1232].end |
8533.54971875 |
transcript.pyannote[1233].speaker |
SPEAKER_09 |
transcript.pyannote[1233].start |
8533.65096875 |
transcript.pyannote[1233].end |
8533.87034375 |
transcript.pyannote[1234].speaker |
SPEAKER_18 |
transcript.pyannote[1234].start |
8533.87034375 |
transcript.pyannote[1234].end |
8535.99659375 |
transcript.pyannote[1235].speaker |
SPEAKER_10 |
transcript.pyannote[1235].start |
8534.14034375 |
transcript.pyannote[1235].end |
8534.17409375 |
transcript.pyannote[1236].speaker |
SPEAKER_09 |
transcript.pyannote[1236].start |
8534.17409375 |
transcript.pyannote[1236].end |
8534.30909375 |
transcript.pyannote[1237].speaker |
SPEAKER_09 |
transcript.pyannote[1237].start |
8537.34659375 |
transcript.pyannote[1237].end |
8537.92034375 |
transcript.pyannote[1238].speaker |
SPEAKER_18 |
transcript.pyannote[1238].start |
8538.15659375 |
transcript.pyannote[1238].end |
8538.42659375 |
transcript.pyannote[1239].speaker |
SPEAKER_18 |
transcript.pyannote[1239].start |
8547.67409375 |
transcript.pyannote[1239].end |
8572.04159375 |
transcript.pyannote[1240].speaker |
SPEAKER_18 |
transcript.pyannote[1240].start |
8572.15971875 |
transcript.pyannote[1240].end |
8574.64034375 |
transcript.pyannote[1241].speaker |
SPEAKER_06 |
transcript.pyannote[1241].start |
8574.37034375 |
transcript.pyannote[1241].end |
8577.49221875 |
transcript.pyannote[1242].speaker |
SPEAKER_18 |
transcript.pyannote[1242].start |
8575.82159375 |
transcript.pyannote[1242].end |
8576.46284375 |
transcript.pyannote[1243].speaker |
SPEAKER_18 |
transcript.pyannote[1243].start |
8577.49221875 |
transcript.pyannote[1243].end |
8589.81096875 |
transcript.pyannote[1244].speaker |
SPEAKER_09 |
transcript.pyannote[1244].start |
8591.97096875 |
transcript.pyannote[1244].end |
8594.02971875 |
transcript.pyannote[1245].speaker |
SPEAKER_18 |
transcript.pyannote[1245].start |
8594.02971875 |
transcript.pyannote[1245].end |
8599.07534375 |
transcript.pyannote[1246].speaker |
SPEAKER_09 |
transcript.pyannote[1246].start |
8595.31221875 |
transcript.pyannote[1246].end |
8595.75096875 |
transcript.pyannote[1247].speaker |
SPEAKER_18 |
transcript.pyannote[1247].start |
8599.32846875 |
transcript.pyannote[1247].end |
8604.50909375 |
transcript.pyannote[1248].speaker |
SPEAKER_06 |
transcript.pyannote[1248].start |
8604.98159375 |
transcript.pyannote[1248].end |
8613.09846875 |
transcript.pyannote[1249].speaker |
SPEAKER_18 |
transcript.pyannote[1249].start |
8613.09846875 |
transcript.pyannote[1249].end |
8613.62159375 |
transcript.pyannote[1250].speaker |
SPEAKER_06 |
transcript.pyannote[1250].start |
8613.62159375 |
transcript.pyannote[1250].end |
8613.68909375 |
transcript.pyannote[1251].speaker |
SPEAKER_18 |
transcript.pyannote[1251].start |
8613.68909375 |
transcript.pyannote[1251].end |
8638.05659375 |
transcript.pyannote[1252].speaker |
SPEAKER_01 |
transcript.pyannote[1252].start |
8628.75846875 |
transcript.pyannote[1252].end |
8628.97784375 |
transcript.pyannote[1253].speaker |
SPEAKER_00 |
transcript.pyannote[1253].start |
8628.97784375 |
transcript.pyannote[1253].end |
8629.02846875 |
transcript.pyannote[1254].speaker |
SPEAKER_18 |
transcript.pyannote[1254].start |
8638.74846875 |
transcript.pyannote[1254].end |
8639.77784375 |
transcript.pyannote[1255].speaker |
SPEAKER_18 |
transcript.pyannote[1255].start |
8640.13221875 |
transcript.pyannote[1255].end |
8643.25409375 |
transcript.pyannote[1256].speaker |
SPEAKER_18 |
transcript.pyannote[1256].start |
8643.72659375 |
transcript.pyannote[1256].end |
8649.93659375 |
transcript.pyannote[1257].speaker |
SPEAKER_18 |
transcript.pyannote[1257].start |
8650.18971875 |
transcript.pyannote[1257].end |
8654.42534375 |
transcript.pyannote[1258].speaker |
SPEAKER_18 |
transcript.pyannote[1258].start |
8654.57721875 |
transcript.pyannote[1258].end |
8659.70721875 |
transcript.pyannote[1259].speaker |
SPEAKER_01 |
transcript.pyannote[1259].start |
8659.70721875 |
transcript.pyannote[1259].end |
8660.06159375 |
transcript.pyannote[1260].speaker |
SPEAKER_18 |
transcript.pyannote[1260].start |
8660.14596875 |
transcript.pyannote[1260].end |
8667.11534375 |
transcript.pyannote[1261].speaker |
SPEAKER_06 |
transcript.pyannote[1261].start |
8665.79909375 |
transcript.pyannote[1261].end |
8666.23784375 |
transcript.pyannote[1262].speaker |
SPEAKER_06 |
transcript.pyannote[1262].start |
8666.86221875 |
transcript.pyannote[1262].end |
8672.07659375 |
transcript.pyannote[1263].speaker |
SPEAKER_18 |
transcript.pyannote[1263].start |
8671.95846875 |
transcript.pyannote[1263].end |
8671.97534375 |
transcript.pyannote[1264].speaker |
SPEAKER_01 |
transcript.pyannote[1264].start |
8671.97534375 |
transcript.pyannote[1264].end |
8672.16096875 |
transcript.pyannote[1265].speaker |
SPEAKER_06 |
transcript.pyannote[1265].start |
8672.16096875 |
transcript.pyannote[1265].end |
8692.49534375 |
transcript.pyannote[1266].speaker |
SPEAKER_01 |
transcript.pyannote[1266].start |
8672.17784375 |
transcript.pyannote[1266].end |
8672.19471875 |
transcript.pyannote[1267].speaker |
SPEAKER_18 |
transcript.pyannote[1267].start |
8672.19471875 |
transcript.pyannote[1267].end |
8672.21159375 |
transcript.pyannote[1268].speaker |
SPEAKER_09 |
transcript.pyannote[1268].start |
8682.85971875 |
transcript.pyannote[1268].end |
8682.97784375 |
transcript.pyannote[1269].speaker |
SPEAKER_00 |
transcript.pyannote[1269].start |
8682.97784375 |
transcript.pyannote[1269].end |
8683.02846875 |
transcript.pyannote[1270].speaker |
SPEAKER_18 |
transcript.pyannote[1270].start |
8688.17534375 |
transcript.pyannote[1270].end |
8688.37784375 |
transcript.pyannote[1271].speaker |
SPEAKER_18 |
transcript.pyannote[1271].start |
8691.31409375 |
transcript.pyannote[1271].end |
8702.78909375 |
transcript.pyannote[1272].speaker |
SPEAKER_06 |
transcript.pyannote[1272].start |
8702.85659375 |
transcript.pyannote[1272].end |
8714.61846875 |
transcript.pyannote[1273].speaker |
SPEAKER_18 |
transcript.pyannote[1273].start |
8705.86034375 |
transcript.pyannote[1273].end |
8706.28221875 |
transcript.pyannote[1274].speaker |
SPEAKER_18 |
transcript.pyannote[1274].start |
8709.47159375 |
transcript.pyannote[1274].end |
8709.92721875 |
transcript.pyannote[1275].speaker |
SPEAKER_18 |
transcript.pyannote[1275].start |
8711.24346875 |
transcript.pyannote[1275].end |
8711.63159375 |
transcript.pyannote[1276].speaker |
SPEAKER_18 |
transcript.pyannote[1276].start |
8713.87596875 |
transcript.pyannote[1276].end |
8715.07409375 |
transcript.pyannote[1277].speaker |
SPEAKER_06 |
transcript.pyannote[1277].start |
8715.79971875 |
transcript.pyannote[1277].end |
8717.50409375 |
transcript.pyannote[1278].speaker |
SPEAKER_18 |
transcript.pyannote[1278].start |
8717.50409375 |
transcript.pyannote[1278].end |
8725.43534375 |
transcript.pyannote[1279].speaker |
SPEAKER_06 |
transcript.pyannote[1279].start |
8718.39846875 |
transcript.pyannote[1279].end |
8718.49971875 |
transcript.pyannote[1280].speaker |
SPEAKER_06 |
transcript.pyannote[1280].start |
8722.83659375 |
transcript.pyannote[1280].end |
8723.44409375 |
transcript.pyannote[1281].speaker |
SPEAKER_18 |
transcript.pyannote[1281].start |
8725.65471875 |
transcript.pyannote[1281].end |
8727.10596875 |
transcript.pyannote[1282].speaker |
SPEAKER_06 |
transcript.pyannote[1282].start |
8727.24096875 |
transcript.pyannote[1282].end |
8729.02971875 |
transcript.pyannote[1283].speaker |
SPEAKER_18 |
transcript.pyannote[1283].start |
8729.02971875 |
transcript.pyannote[1283].end |
8731.30784375 |
transcript.pyannote[1284].speaker |
SPEAKER_18 |
transcript.pyannote[1284].start |
8732.15159375 |
transcript.pyannote[1284].end |
8734.54784375 |
transcript.pyannote[1285].speaker |
SPEAKER_18 |
transcript.pyannote[1285].start |
8735.66159375 |
transcript.pyannote[1285].end |
8736.60659375 |
transcript.pyannote[1286].speaker |
SPEAKER_18 |
transcript.pyannote[1286].start |
8737.18034375 |
transcript.pyannote[1286].end |
8737.97346875 |
transcript.pyannote[1287].speaker |
SPEAKER_18 |
transcript.pyannote[1287].start |
8739.20534375 |
transcript.pyannote[1287].end |
8739.89721875 |
transcript.pyannote[1288].speaker |
SPEAKER_18 |
transcript.pyannote[1288].start |
8741.43284375 |
transcript.pyannote[1288].end |
8742.51284375 |
transcript.pyannote[1289].speaker |
SPEAKER_18 |
transcript.pyannote[1289].start |
8743.40721875 |
transcript.pyannote[1289].end |
8743.89659375 |
transcript.pyannote[1290].speaker |
SPEAKER_18 |
transcript.pyannote[1290].start |
8744.95971875 |
transcript.pyannote[1290].end |
8751.87846875 |
transcript.pyannote[1291].speaker |
SPEAKER_18 |
transcript.pyannote[1291].start |
8752.14846875 |
transcript.pyannote[1291].end |
8755.00034375 |
transcript.pyannote[1292].speaker |
SPEAKER_18 |
transcript.pyannote[1292].start |
8755.40534375 |
transcript.pyannote[1292].end |
8759.50596875 |
transcript.pyannote[1293].speaker |
SPEAKER_18 |
transcript.pyannote[1293].start |
8760.02909375 |
transcript.pyannote[1293].end |
8763.15096875 |
transcript.pyannote[1294].speaker |
SPEAKER_18 |
transcript.pyannote[1294].start |
8763.64034375 |
transcript.pyannote[1294].end |
8764.70346875 |
transcript.pyannote[1295].speaker |
SPEAKER_18 |
transcript.pyannote[1295].start |
8764.85534375 |
transcript.pyannote[1295].end |
8767.06596875 |
transcript.pyannote[1296].speaker |
SPEAKER_18 |
transcript.pyannote[1296].start |
8767.18409375 |
transcript.pyannote[1296].end |
8769.05721875 |
transcript.pyannote[1297].speaker |
SPEAKER_06 |
transcript.pyannote[1297].start |
8769.05721875 |
transcript.pyannote[1297].end |
8769.36096875 |
transcript.pyannote[1298].speaker |
SPEAKER_18 |
transcript.pyannote[1298].start |
8769.36096875 |
transcript.pyannote[1298].end |
8769.91784375 |
transcript.pyannote[1299].speaker |
SPEAKER_06 |
transcript.pyannote[1299].start |
8769.81659375 |
transcript.pyannote[1299].end |
8770.28909375 |
transcript.pyannote[1300].speaker |
SPEAKER_18 |
transcript.pyannote[1300].start |
8770.66034375 |
transcript.pyannote[1300].end |
8772.41534375 |
transcript.pyannote[1301].speaker |
SPEAKER_06 |
transcript.pyannote[1301].start |
8772.41534375 |
transcript.pyannote[1301].end |
8772.95534375 |
transcript.pyannote[1302].speaker |
SPEAKER_18 |
transcript.pyannote[1302].start |
8774.67659375 |
transcript.pyannote[1302].end |
8788.78409375 |
transcript.pyannote[1303].speaker |
SPEAKER_18 |
transcript.pyannote[1303].start |
8789.07096875 |
transcript.pyannote[1303].end |
8790.08346875 |
transcript.pyannote[1304].speaker |
SPEAKER_18 |
transcript.pyannote[1304].start |
8790.20159375 |
transcript.pyannote[1304].end |
8793.67784375 |
transcript.pyannote[1305].speaker |
SPEAKER_18 |
transcript.pyannote[1305].start |
8794.08284375 |
transcript.pyannote[1305].end |
8799.02721875 |
transcript.pyannote[1306].speaker |
SPEAKER_18 |
transcript.pyannote[1306].start |
8799.19596875 |
transcript.pyannote[1306].end |
8800.41096875 |
transcript.pyannote[1307].speaker |
SPEAKER_18 |
transcript.pyannote[1307].start |
8800.73159375 |
transcript.pyannote[1307].end |
8805.27096875 |
transcript.pyannote[1308].speaker |
SPEAKER_18 |
transcript.pyannote[1308].start |
8805.59159375 |
transcript.pyannote[1308].end |
8813.82659375 |
transcript.pyannote[1309].speaker |
SPEAKER_18 |
transcript.pyannote[1309].start |
8814.09659375 |
transcript.pyannote[1309].end |
8816.44221875 |
transcript.pyannote[1310].speaker |
SPEAKER_18 |
transcript.pyannote[1310].start |
8816.54346875 |
transcript.pyannote[1310].end |
8822.39909375 |
transcript.pyannote[1311].speaker |
SPEAKER_18 |
transcript.pyannote[1311].start |
8823.05721875 |
transcript.pyannote[1311].end |
8828.99721875 |
transcript.pyannote[1312].speaker |
SPEAKER_18 |
transcript.pyannote[1312].start |
8829.38534375 |
transcript.pyannote[1312].end |
8831.66346875 |
transcript.pyannote[1313].speaker |
SPEAKER_18 |
transcript.pyannote[1313].start |
8831.95034375 |
transcript.pyannote[1313].end |
8833.18221875 |
transcript.pyannote[1314].speaker |
SPEAKER_18 |
transcript.pyannote[1314].start |
8833.40159375 |
transcript.pyannote[1314].end |
8835.44346875 |
transcript.pyannote[1315].speaker |
SPEAKER_18 |
transcript.pyannote[1315].start |
8836.21971875 |
transcript.pyannote[1315].end |
8837.67096875 |
transcript.pyannote[1316].speaker |
SPEAKER_09 |
transcript.pyannote[1316].start |
8838.76784375 |
transcript.pyannote[1316].end |
8843.88096875 |
transcript.pyannote[1317].speaker |
SPEAKER_09 |
transcript.pyannote[1317].start |
8844.23534375 |
transcript.pyannote[1317].end |
8856.48659375 |
transcript.pyannote[1318].speaker |
SPEAKER_18 |
transcript.pyannote[1318].start |
8846.73284375 |
transcript.pyannote[1318].end |
8846.96909375 |
transcript.pyannote[1319].speaker |
SPEAKER_00 |
transcript.pyannote[1319].start |
8846.96909375 |
transcript.pyannote[1319].end |
8847.18846875 |
transcript.pyannote[1320].speaker |
SPEAKER_18 |
transcript.pyannote[1320].start |
8849.31471875 |
transcript.pyannote[1320].end |
8850.05721875 |
transcript.pyannote[1321].speaker |
SPEAKER_18 |
transcript.pyannote[1321].start |
8851.69409375 |
transcript.pyannote[1321].end |
8851.71096875 |
transcript.pyannote[1322].speaker |
SPEAKER_18 |
transcript.pyannote[1322].start |
8851.86284375 |
transcript.pyannote[1322].end |
8852.45346875 |
transcript.pyannote[1323].speaker |
SPEAKER_18 |
transcript.pyannote[1323].start |
8852.75721875 |
transcript.pyannote[1323].end |
8852.80784375 |
transcript.pyannote[1324].speaker |
SPEAKER_05 |
transcript.pyannote[1324].start |
8854.41096875 |
transcript.pyannote[1324].end |
8854.47846875 |
transcript.pyannote[1325].speaker |
SPEAKER_18 |
transcript.pyannote[1325].start |
8854.47846875 |
transcript.pyannote[1325].end |
8854.98471875 |
transcript.pyannote[1326].speaker |
SPEAKER_18 |
transcript.pyannote[1326].start |
8855.81159375 |
transcript.pyannote[1326].end |
8858.24159375 |
transcript.pyannote[1327].speaker |
SPEAKER_09 |
transcript.pyannote[1327].start |
8858.47784375 |
transcript.pyannote[1327].end |
8859.57471875 |
transcript.pyannote[1328].speaker |
SPEAKER_05 |
transcript.pyannote[1328].start |
8859.57471875 |
transcript.pyannote[1328].end |
8860.24971875 |
transcript.pyannote[1329].speaker |
SPEAKER_09 |
transcript.pyannote[1329].start |
8860.24971875 |
transcript.pyannote[1329].end |
8860.36784375 |
transcript.pyannote[1330].speaker |
SPEAKER_05 |
transcript.pyannote[1330].start |
8860.36784375 |
transcript.pyannote[1330].end |
8860.77284375 |
transcript.pyannote[1331].speaker |
SPEAKER_09 |
transcript.pyannote[1331].start |
8860.77284375 |
transcript.pyannote[1331].end |
8861.34659375 |
transcript.pyannote[1332].speaker |
SPEAKER_05 |
transcript.pyannote[1332].start |
8860.78971875 |
transcript.pyannote[1332].end |
8861.16096875 |
transcript.pyannote[1333].speaker |
SPEAKER_09 |
transcript.pyannote[1333].start |
8862.00471875 |
transcript.pyannote[1333].end |
8868.82221875 |
transcript.pyannote[1334].speaker |
SPEAKER_18 |
transcript.pyannote[1334].start |
8862.07221875 |
transcript.pyannote[1334].end |
8862.27471875 |
transcript.pyannote[1335].speaker |
SPEAKER_05 |
transcript.pyannote[1335].start |
8862.27471875 |
transcript.pyannote[1335].end |
8862.96659375 |
transcript.pyannote[1336].speaker |
SPEAKER_18 |
transcript.pyannote[1336].start |
8862.96659375 |
transcript.pyannote[1336].end |
8863.60784375 |
transcript.pyannote[1337].speaker |
SPEAKER_18 |
transcript.pyannote[1337].start |
8869.19346875 |
transcript.pyannote[1337].end |
8872.55159375 |
transcript.pyannote[1338].speaker |
SPEAKER_09 |
transcript.pyannote[1338].start |
8871.67409375 |
transcript.pyannote[1338].end |
8873.93534375 |
transcript.pyannote[1339].speaker |
SPEAKER_18 |
transcript.pyannote[1339].start |
8872.72034375 |
transcript.pyannote[1339].end |
8877.68159375 |
transcript.pyannote[1340].speaker |
SPEAKER_09 |
transcript.pyannote[1340].start |
8876.97284375 |
transcript.pyannote[1340].end |
8881.32659375 |
transcript.pyannote[1341].speaker |
SPEAKER_18 |
transcript.pyannote[1341].start |
8880.98909375 |
transcript.pyannote[1341].end |
8882.65971875 |
transcript.pyannote[1342].speaker |
SPEAKER_09 |
transcript.pyannote[1342].start |
8882.92971875 |
transcript.pyannote[1342].end |
8885.30909375 |
transcript.pyannote[1343].speaker |
SPEAKER_18 |
transcript.pyannote[1343].start |
8883.75659375 |
transcript.pyannote[1343].end |
8883.97596875 |
transcript.pyannote[1344].speaker |
SPEAKER_18 |
transcript.pyannote[1344].start |
8884.11096875 |
transcript.pyannote[1344].end |
8888.11034375 |
transcript.pyannote[1345].speaker |
SPEAKER_09 |
transcript.pyannote[1345].start |
8888.11034375 |
transcript.pyannote[1345].end |
8890.08471875 |
transcript.pyannote[1346].speaker |
SPEAKER_05 |
transcript.pyannote[1346].start |
8890.77659375 |
transcript.pyannote[1346].end |
8890.84409375 |
transcript.pyannote[1347].speaker |
SPEAKER_09 |
transcript.pyannote[1347].start |
8891.29971875 |
transcript.pyannote[1347].end |
8896.51409375 |
transcript.pyannote[1348].speaker |
SPEAKER_18 |
transcript.pyannote[1348].start |
8894.52284375 |
transcript.pyannote[1348].end |
8896.56471875 |
transcript.pyannote[1349].speaker |
SPEAKER_09 |
transcript.pyannote[1349].start |
8896.56471875 |
transcript.pyannote[1349].end |
8896.58159375 |
transcript.pyannote[1350].speaker |
SPEAKER_09 |
transcript.pyannote[1350].start |
8896.76721875 |
transcript.pyannote[1350].end |
8901.88034375 |
transcript.pyannote[1351].speaker |
SPEAKER_18 |
transcript.pyannote[1351].start |
8902.03221875 |
transcript.pyannote[1351].end |
8908.17471875 |
transcript.pyannote[1352].speaker |
SPEAKER_09 |
transcript.pyannote[1352].start |
8904.47909375 |
transcript.pyannote[1352].end |
8905.84596875 |
transcript.pyannote[1353].speaker |
SPEAKER_09 |
transcript.pyannote[1353].start |
8905.98096875 |
transcript.pyannote[1353].end |
8911.21221875 |
transcript.pyannote[1354].speaker |
SPEAKER_18 |
transcript.pyannote[1354].start |
8909.05221875 |
transcript.pyannote[1354].end |
8909.94659375 |
transcript.pyannote[1355].speaker |
SPEAKER_18 |
transcript.pyannote[1355].start |
8911.21221875 |
transcript.pyannote[1355].end |
8918.38409375 |
transcript.pyannote[1356].speaker |
SPEAKER_18 |
transcript.pyannote[1356].start |
8918.48534375 |
transcript.pyannote[1356].end |
8922.19784375 |
transcript.pyannote[1357].speaker |
SPEAKER_18 |
transcript.pyannote[1357].start |
8922.34971875 |
transcript.pyannote[1357].end |
8932.08659375 |
transcript.pyannote[1358].speaker |
SPEAKER_01 |
transcript.pyannote[1358].start |
8922.38346875 |
transcript.pyannote[1358].end |
8922.68721875 |
transcript.pyannote[1359].speaker |
SPEAKER_18 |
transcript.pyannote[1359].start |
8932.17096875 |
transcript.pyannote[1359].end |
8938.17846875 |
transcript.pyannote[1360].speaker |
SPEAKER_09 |
transcript.pyannote[1360].start |
8939.61284375 |
transcript.pyannote[1360].end |
8955.52596875 |
transcript.pyannote[1361].speaker |
SPEAKER_24 |
transcript.pyannote[1361].start |
8946.07596875 |
transcript.pyannote[1361].end |
8946.56534375 |
transcript.pyannote[1362].speaker |
SPEAKER_01 |
transcript.pyannote[1362].start |
8946.56534375 |
transcript.pyannote[1362].end |
8946.58221875 |
transcript.pyannote[1363].speaker |
SPEAKER_24 |
transcript.pyannote[1363].start |
8946.58221875 |
transcript.pyannote[1363].end |
8946.63284375 |
transcript.pyannote[1364].speaker |
SPEAKER_18 |
transcript.pyannote[1364].start |
8949.04596875 |
transcript.pyannote[1364].end |
8949.48471875 |
transcript.pyannote[1365].speaker |
SPEAKER_18 |
transcript.pyannote[1365].start |
8955.07034375 |
transcript.pyannote[1365].end |
8957.60159375 |
transcript.pyannote[1366].speaker |
SPEAKER_09 |
transcript.pyannote[1366].start |
8956.48784375 |
transcript.pyannote[1366].end |
8966.74784375 |
transcript.pyannote[1367].speaker |
SPEAKER_18 |
transcript.pyannote[1367].start |
8965.17846875 |
transcript.pyannote[1367].end |
8968.26659375 |
transcript.pyannote[1368].speaker |
SPEAKER_09 |
transcript.pyannote[1368].start |
8968.01346875 |
transcript.pyannote[1368].end |
8972.94096875 |
transcript.pyannote[1369].speaker |
SPEAKER_18 |
transcript.pyannote[1369].start |
8968.28346875 |
transcript.pyannote[1369].end |
8968.31721875 |
transcript.pyannote[1370].speaker |
SPEAKER_18 |
transcript.pyannote[1370].start |
8972.94096875 |
transcript.pyannote[1370].end |
8975.80971875 |
transcript.pyannote[1371].speaker |
SPEAKER_09 |
transcript.pyannote[1371].start |
8975.45534375 |
transcript.pyannote[1371].end |
8980.34909375 |
transcript.pyannote[1372].speaker |
SPEAKER_18 |
transcript.pyannote[1372].start |
8980.34909375 |
transcript.pyannote[1372].end |
8989.68096875 |
transcript.pyannote[1373].speaker |
SPEAKER_09 |
transcript.pyannote[1373].start |
8981.31096875 |
transcript.pyannote[1373].end |
8981.85096875 |
transcript.pyannote[1374].speaker |
SPEAKER_09 |
transcript.pyannote[1374].start |
8983.90971875 |
transcript.pyannote[1374].end |
8984.71971875 |
transcript.pyannote[1375].speaker |
SPEAKER_09 |
transcript.pyannote[1375].start |
8984.87159375 |
transcript.pyannote[1375].end |
8985.00659375 |
transcript.pyannote[1376].speaker |
SPEAKER_00 |
transcript.pyannote[1376].start |
8985.00659375 |
transcript.pyannote[1376].end |
8985.04034375 |
transcript.pyannote[1377].speaker |
SPEAKER_09 |
transcript.pyannote[1377].start |
8985.04034375 |
transcript.pyannote[1377].end |
8986.64346875 |
transcript.pyannote[1378].speaker |
SPEAKER_00 |
transcript.pyannote[1378].start |
8986.64346875 |
transcript.pyannote[1378].end |
8986.94721875 |
transcript.pyannote[1379].speaker |
SPEAKER_09 |
transcript.pyannote[1379].start |
8986.94721875 |
transcript.pyannote[1379].end |
8987.67284375 |
transcript.pyannote[1380].speaker |
SPEAKER_00 |
transcript.pyannote[1380].start |
8987.67284375 |
transcript.pyannote[1380].end |
8987.70659375 |
transcript.pyannote[1381].speaker |
SPEAKER_18 |
transcript.pyannote[1381].start |
8990.11971875 |
transcript.pyannote[1381].end |
8992.44846875 |
transcript.pyannote[1382].speaker |
SPEAKER_18 |
transcript.pyannote[1382].start |
8992.65096875 |
transcript.pyannote[1382].end |
8996.53221875 |
transcript.pyannote[1383].speaker |
SPEAKER_18 |
transcript.pyannote[1383].start |
8997.00471875 |
transcript.pyannote[1383].end |
9008.56409375 |
transcript.pyannote[1384].speaker |
SPEAKER_18 |
transcript.pyannote[1384].start |
9008.85096875 |
transcript.pyannote[1384].end |
9011.04471875 |
transcript.pyannote[1385].speaker |
SPEAKER_09 |
transcript.pyannote[1385].start |
9012.52971875 |
transcript.pyannote[1385].end |
9033.57284375 |
transcript.pyannote[1386].speaker |
SPEAKER_00 |
transcript.pyannote[1386].start |
9017.84534375 |
transcript.pyannote[1386].end |
9017.89596875 |
transcript.pyannote[1387].speaker |
SPEAKER_18 |
transcript.pyannote[1387].start |
9017.89596875 |
transcript.pyannote[1387].end |
9018.19971875 |
transcript.pyannote[1388].speaker |
SPEAKER_00 |
transcript.pyannote[1388].start |
9018.19971875 |
transcript.pyannote[1388].end |
9018.23346875 |
transcript.pyannote[1389].speaker |
SPEAKER_00 |
transcript.pyannote[1389].start |
9020.61284375 |
transcript.pyannote[1389].end |
9022.33409375 |
transcript.pyannote[1390].speaker |
SPEAKER_00 |
transcript.pyannote[1390].start |
9022.51971875 |
transcript.pyannote[1390].end |
9023.14409375 |
transcript.pyannote[1391].speaker |
SPEAKER_18 |
transcript.pyannote[1391].start |
9031.95284375 |
transcript.pyannote[1391].end |
9035.54721875 |
transcript.pyannote[1392].speaker |
SPEAKER_09 |
transcript.pyannote[1392].start |
9034.65284375 |
transcript.pyannote[1392].end |
9050.43096875 |
transcript.pyannote[1393].speaker |
SPEAKER_18 |
transcript.pyannote[1393].start |
9048.25409375 |
transcript.pyannote[1393].end |
9062.93534375 |
transcript.pyannote[1394].speaker |
SPEAKER_09 |
transcript.pyannote[1394].start |
9062.61471875 |
transcript.pyannote[1394].end |
9076.97534375 |
transcript.pyannote[1395].speaker |
SPEAKER_18 |
transcript.pyannote[1395].start |
9063.50909375 |
transcript.pyannote[1395].end |
9064.23471875 |
transcript.pyannote[1396].speaker |
SPEAKER_18 |
transcript.pyannote[1396].start |
9065.01096875 |
transcript.pyannote[1396].end |
9065.31471875 |
transcript.pyannote[1397].speaker |
SPEAKER_18 |
transcript.pyannote[1397].start |
9068.31846875 |
transcript.pyannote[1397].end |
9068.74034375 |
transcript.pyannote[1398].speaker |
SPEAKER_18 |
transcript.pyannote[1398].start |
9070.39409375 |
transcript.pyannote[1398].end |
9070.81596875 |
transcript.pyannote[1399].speaker |
SPEAKER_18 |
transcript.pyannote[1399].start |
9073.38096875 |
transcript.pyannote[1399].end |
9074.14034375 |
transcript.pyannote[1400].speaker |
SPEAKER_18 |
transcript.pyannote[1400].start |
9074.73096875 |
transcript.pyannote[1400].end |
9075.23721875 |
transcript.pyannote[1401].speaker |
SPEAKER_18 |
transcript.pyannote[1401].start |
9076.75596875 |
transcript.pyannote[1401].end |
9083.18534375 |
transcript.pyannote[1402].speaker |
SPEAKER_09 |
transcript.pyannote[1402].start |
9079.47284375 |
transcript.pyannote[1402].end |
9080.63721875 |
transcript.pyannote[1403].speaker |
SPEAKER_09 |
transcript.pyannote[1403].start |
9083.52284375 |
transcript.pyannote[1403].end |
9087.42096875 |
transcript.pyannote[1404].speaker |
SPEAKER_18 |
transcript.pyannote[1404].start |
9087.42096875 |
transcript.pyannote[1404].end |
9087.99471875 |
transcript.pyannote[1405].speaker |
SPEAKER_09 |
transcript.pyannote[1405].start |
9087.96096875 |
transcript.pyannote[1405].end |
9092.98971875 |
transcript.pyannote[1406].speaker |
SPEAKER_18 |
transcript.pyannote[1406].start |
9088.07909375 |
transcript.pyannote[1406].end |
9088.68659375 |
transcript.pyannote[1407].speaker |
SPEAKER_18 |
transcript.pyannote[1407].start |
9088.70346875 |
transcript.pyannote[1407].end |
9089.96909375 |
transcript.pyannote[1408].speaker |
SPEAKER_05 |
transcript.pyannote[1408].start |
9089.96909375 |
transcript.pyannote[1408].end |
9090.50909375 |
transcript.pyannote[1409].speaker |
SPEAKER_05 |
transcript.pyannote[1409].start |
9093.47909375 |
transcript.pyannote[1409].end |
9103.50284375 |
transcript.pyannote[1410].speaker |
SPEAKER_01 |
transcript.pyannote[1410].start |
9098.54159375 |
transcript.pyannote[1410].end |
9098.79471875 |
transcript.pyannote[1411].speaker |
SPEAKER_01 |
transcript.pyannote[1411].start |
9103.53659375 |
transcript.pyannote[1411].end |
9103.58721875 |
transcript.pyannote[1412].speaker |
SPEAKER_18 |
transcript.pyannote[1412].start |
9103.58721875 |
transcript.pyannote[1412].end |
9103.92471875 |
transcript.pyannote[1413].speaker |
SPEAKER_05 |
transcript.pyannote[1413].start |
9103.89096875 |
transcript.pyannote[1413].end |
9106.69221875 |
transcript.pyannote[1414].speaker |
SPEAKER_18 |
transcript.pyannote[1414].start |
9106.69221875 |
transcript.pyannote[1414].end |
9106.97909375 |
transcript.pyannote[1415].speaker |
SPEAKER_18 |
transcript.pyannote[1415].start |
9107.36721875 |
transcript.pyannote[1415].end |
9109.98284375 |
transcript.pyannote[1416].speaker |
SPEAKER_05 |
transcript.pyannote[1416].start |
9109.27409375 |
transcript.pyannote[1416].end |
9116.07471875 |
transcript.pyannote[1417].speaker |
SPEAKER_18 |
transcript.pyannote[1417].start |
9112.96971875 |
transcript.pyannote[1417].end |
9121.33971875 |
transcript.pyannote[1418].speaker |
SPEAKER_05 |
transcript.pyannote[1418].start |
9120.47909375 |
transcript.pyannote[1418].end |
9129.08534375 |
transcript.pyannote[1419].speaker |
SPEAKER_18 |
transcript.pyannote[1419].start |
9129.11909375 |
transcript.pyannote[1419].end |
9136.18971875 |
transcript.pyannote[1420].speaker |
SPEAKER_05 |
transcript.pyannote[1420].start |
9129.81096875 |
transcript.pyannote[1420].end |
9129.84471875 |
transcript.pyannote[1421].speaker |
SPEAKER_04 |
transcript.pyannote[1421].start |
9129.84471875 |
transcript.pyannote[1421].end |
9129.89534375 |
transcript.pyannote[1422].speaker |
SPEAKER_05 |
transcript.pyannote[1422].start |
9129.89534375 |
transcript.pyannote[1422].end |
9129.94596875 |
transcript.pyannote[1423].speaker |
SPEAKER_04 |
transcript.pyannote[1423].start |
9129.94596875 |
transcript.pyannote[1423].end |
9130.21596875 |
transcript.pyannote[1424].speaker |
SPEAKER_04 |
transcript.pyannote[1424].start |
9131.92034375 |
transcript.pyannote[1424].end |
9131.93721875 |
transcript.pyannote[1425].speaker |
SPEAKER_05 |
transcript.pyannote[1425].start |
9131.93721875 |
transcript.pyannote[1425].end |
9132.10596875 |
transcript.pyannote[1426].speaker |
SPEAKER_04 |
transcript.pyannote[1426].start |
9132.10596875 |
transcript.pyannote[1426].end |
9132.44346875 |
transcript.pyannote[1427].speaker |
SPEAKER_01 |
transcript.pyannote[1427].start |
9132.44346875 |
transcript.pyannote[1427].end |
9133.03409375 |
transcript.pyannote[1428].speaker |
SPEAKER_09 |
transcript.pyannote[1428].start |
9133.03409375 |
transcript.pyannote[1428].end |
9133.59096875 |
transcript.pyannote[1429].speaker |
SPEAKER_05 |
transcript.pyannote[1429].start |
9133.59096875 |
transcript.pyannote[1429].end |
9133.65846875 |
transcript.pyannote[1430].speaker |
SPEAKER_09 |
transcript.pyannote[1430].start |
9133.65846875 |
transcript.pyannote[1430].end |
9133.92846875 |
transcript.pyannote[1431].speaker |
SPEAKER_04 |
transcript.pyannote[1431].start |
9133.92846875 |
transcript.pyannote[1431].end |
9133.94534375 |
transcript.pyannote[1432].speaker |
SPEAKER_09 |
transcript.pyannote[1432].start |
9136.15596875 |
transcript.pyannote[1432].end |
9145.72409375 |
transcript.pyannote[1433].speaker |
SPEAKER_18 |
transcript.pyannote[1433].start |
9136.52721875 |
transcript.pyannote[1433].end |
9136.78034375 |
transcript.pyannote[1434].speaker |
SPEAKER_18 |
transcript.pyannote[1434].start |
9138.61971875 |
transcript.pyannote[1434].end |
9138.94034375 |
transcript.pyannote[1435].speaker |
SPEAKER_18 |
transcript.pyannote[1435].start |
9140.34096875 |
transcript.pyannote[1435].end |
9140.71221875 |
transcript.pyannote[1436].speaker |
SPEAKER_18 |
transcript.pyannote[1436].start |
9142.06221875 |
transcript.pyannote[1436].end |
9144.57659375 |
transcript.pyannote[1437].speaker |
SPEAKER_18 |
transcript.pyannote[1437].start |
9144.81284375 |
transcript.pyannote[1437].end |
9147.24284375 |
transcript.pyannote[1438].speaker |
SPEAKER_09 |
transcript.pyannote[1438].start |
9147.37784375 |
transcript.pyannote[1438].end |
9150.16221875 |
transcript.pyannote[1439].speaker |
SPEAKER_18 |
transcript.pyannote[1439].start |
9150.16221875 |
transcript.pyannote[1439].end |
9153.53721875 |
transcript.pyannote[1440].speaker |
SPEAKER_09 |
transcript.pyannote[1440].start |
9150.21284375 |
transcript.pyannote[1440].end |
9150.60096875 |
transcript.pyannote[1441].speaker |
SPEAKER_09 |
transcript.pyannote[1441].start |
9153.48659375 |
transcript.pyannote[1441].end |
9155.73096875 |
transcript.pyannote[1442].speaker |
SPEAKER_18 |
transcript.pyannote[1442].start |
9155.73096875 |
transcript.pyannote[1442].end |
9158.05971875 |
transcript.pyannote[1443].speaker |
SPEAKER_09 |
transcript.pyannote[1443].start |
9158.05971875 |
transcript.pyannote[1443].end |
9158.09346875 |
transcript.pyannote[1444].speaker |
SPEAKER_18 |
transcript.pyannote[1444].start |
9158.09346875 |
transcript.pyannote[1444].end |
9158.21159375 |
transcript.pyannote[1445].speaker |
SPEAKER_09 |
transcript.pyannote[1445].start |
9158.21159375 |
transcript.pyannote[1445].end |
9158.41409375 |
transcript.pyannote[1446].speaker |
SPEAKER_18 |
transcript.pyannote[1446].start |
9158.41409375 |
transcript.pyannote[1446].end |
9159.76409375 |
transcript.pyannote[1447].speaker |
SPEAKER_18 |
transcript.pyannote[1447].start |
9159.81471875 |
transcript.pyannote[1447].end |
9160.48971875 |
transcript.pyannote[1448].speaker |
SPEAKER_09 |
transcript.pyannote[1448].start |
9160.48971875 |
transcript.pyannote[1448].end |
9160.96221875 |
transcript.pyannote[1449].speaker |
SPEAKER_10 |
transcript.pyannote[1449].start |
9160.96221875 |
transcript.pyannote[1449].end |
9161.16471875 |
transcript.pyannote[1450].speaker |
SPEAKER_09 |
transcript.pyannote[1450].start |
9161.16471875 |
transcript.pyannote[1450].end |
9161.33346875 |
transcript.pyannote[1451].speaker |
SPEAKER_18 |
transcript.pyannote[1451].start |
9161.33346875 |
transcript.pyannote[1451].end |
9162.21096875 |
transcript.pyannote[1452].speaker |
SPEAKER_09 |
transcript.pyannote[1452].start |
9161.58659375 |
transcript.pyannote[1452].end |
9161.60346875 |
transcript.pyannote[1453].speaker |
SPEAKER_10 |
transcript.pyannote[1453].start |
9161.60346875 |
transcript.pyannote[1453].end |
9162.10971875 |
transcript.pyannote[1454].speaker |
SPEAKER_10 |
transcript.pyannote[1454].start |
9162.34596875 |
transcript.pyannote[1454].end |
9164.33721875 |
transcript.pyannote[1455].speaker |
SPEAKER_10 |
transcript.pyannote[1455].start |
9165.68721875 |
transcript.pyannote[1455].end |
9169.97346875 |
transcript.pyannote[1456].speaker |
SPEAKER_10 |
transcript.pyannote[1456].start |
9635.77409375 |
transcript.pyannote[1456].end |
9638.45721875 |
transcript.pyannote[1457].speaker |
SPEAKER_10 |
transcript.pyannote[1457].start |
9653.50971875 |
transcript.pyannote[1457].end |
9657.40784375 |
transcript.pyannote[1458].speaker |
SPEAKER_09 |
transcript.pyannote[1458].start |
9670.01346875 |
transcript.pyannote[1458].end |
9675.02534375 |
transcript.pyannote[1459].speaker |
SPEAKER_10 |
transcript.pyannote[1459].start |
9675.02534375 |
transcript.pyannote[1459].end |
9675.46409375 |
transcript.pyannote[1460].speaker |
SPEAKER_09 |
transcript.pyannote[1460].start |
9676.25721875 |
transcript.pyannote[1460].end |
9676.27409375 |
transcript.pyannote[1461].speaker |
SPEAKER_10 |
transcript.pyannote[1461].start |
9676.27409375 |
transcript.pyannote[1461].end |
9676.99971875 |
transcript.pyannote[1462].speaker |
SPEAKER_10 |
transcript.pyannote[1462].start |
9677.42159375 |
transcript.pyannote[1462].end |
9678.43409375 |
transcript.pyannote[1463].speaker |
SPEAKER_10 |
transcript.pyannote[1463].start |
9679.36221875 |
transcript.pyannote[1463].end |
9679.85159375 |
transcript.pyannote[1464].speaker |
SPEAKER_10 |
transcript.pyannote[1464].start |
9680.03721875 |
transcript.pyannote[1464].end |
9681.26909375 |
transcript.pyannote[1465].speaker |
SPEAKER_10 |
transcript.pyannote[1465].start |
9682.68659375 |
transcript.pyannote[1465].end |
9683.27721875 |
transcript.pyannote[1466].speaker |
SPEAKER_10 |
transcript.pyannote[1466].start |
9684.94784375 |
transcript.pyannote[1466].end |
9686.97284375 |
transcript.pyannote[1467].speaker |
SPEAKER_08 |
transcript.pyannote[1467].start |
9686.97284375 |
transcript.pyannote[1467].end |
9696.03471875 |
transcript.pyannote[1468].speaker |
SPEAKER_09 |
transcript.pyannote[1468].start |
9696.03471875 |
transcript.pyannote[1468].end |
9700.01721875 |
transcript.pyannote[1469].speaker |
SPEAKER_09 |
transcript.pyannote[1469].start |
9700.27034375 |
transcript.pyannote[1469].end |
9720.03096875 |
transcript.pyannote[1470].speaker |
SPEAKER_09 |
transcript.pyannote[1470].start |
9720.63846875 |
transcript.pyannote[1470].end |
9729.66659375 |
transcript.pyannote[1471].speaker |
SPEAKER_09 |
transcript.pyannote[1471].start |
9729.91971875 |
transcript.pyannote[1471].end |
9730.45971875 |
transcript.pyannote[1472].speaker |
SPEAKER_09 |
transcript.pyannote[1472].start |
9731.11784375 |
transcript.pyannote[1472].end |
9734.84721875 |
transcript.pyannote[1473].speaker |
SPEAKER_09 |
transcript.pyannote[1473].start |
9734.96534375 |
transcript.pyannote[1473].end |
9735.03284375 |
transcript.pyannote[1474].speaker |
SPEAKER_09 |
transcript.pyannote[1474].start |
9735.18471875 |
transcript.pyannote[1474].end |
9739.74096875 |
transcript.pyannote[1475].speaker |
SPEAKER_09 |
transcript.pyannote[1475].start |
9740.33159375 |
transcript.pyannote[1475].end |
9743.20034375 |
transcript.pyannote[1476].speaker |
SPEAKER_09 |
transcript.pyannote[1476].start |
9744.92159375 |
transcript.pyannote[1476].end |
9745.34346875 |
transcript.pyannote[1477].speaker |
SPEAKER_09 |
transcript.pyannote[1477].start |
9745.52909375 |
transcript.pyannote[1477].end |
9760.02471875 |
transcript.pyannote[1478].speaker |
SPEAKER_09 |
transcript.pyannote[1478].start |
9760.96971875 |
transcript.pyannote[1478].end |
9775.54971875 |
transcript.pyannote[1479].speaker |
SPEAKER_00 |
transcript.pyannote[1479].start |
9762.30284375 |
transcript.pyannote[1479].end |
9763.70346875 |
transcript.pyannote[1480].speaker |
SPEAKER_00 |
transcript.pyannote[1480].start |
9764.07471875 |
transcript.pyannote[1480].end |
9764.10846875 |
transcript.pyannote[1481].speaker |
SPEAKER_00 |
transcript.pyannote[1481].start |
9764.12534375 |
transcript.pyannote[1481].end |
9764.37846875 |
transcript.pyannote[1482].speaker |
SPEAKER_00 |
transcript.pyannote[1482].start |
9764.71596875 |
transcript.pyannote[1482].end |
9765.20534375 |
transcript.pyannote[1483].speaker |
SPEAKER_00 |
transcript.pyannote[1483].start |
9768.14159375 |
transcript.pyannote[1483].end |
9768.15846875 |
transcript.pyannote[1484].speaker |
SPEAKER_08 |
transcript.pyannote[1484].start |
9768.15846875 |
transcript.pyannote[1484].end |
9769.40721875 |
transcript.pyannote[1485].speaker |
SPEAKER_09 |
transcript.pyannote[1485].start |
9776.07284375 |
transcript.pyannote[1485].end |
9780.64596875 |
transcript.pyannote[1486].speaker |
SPEAKER_09 |
transcript.pyannote[1486].start |
9782.08034375 |
transcript.pyannote[1486].end |
9801.89159375 |
transcript.pyannote[1487].speaker |
SPEAKER_24 |
transcript.pyannote[1487].start |
9787.26096875 |
transcript.pyannote[1487].end |
9787.69971875 |
transcript.pyannote[1488].speaker |
SPEAKER_07 |
transcript.pyannote[1488].start |
9787.69971875 |
transcript.pyannote[1488].end |
9787.91909375 |
transcript.pyannote[1489].speaker |
SPEAKER_07 |
transcript.pyannote[1489].start |
9788.94846875 |
transcript.pyannote[1489].end |
9789.03284375 |
transcript.pyannote[1490].speaker |
SPEAKER_04 |
transcript.pyannote[1490].start |
9789.03284375 |
transcript.pyannote[1490].end |
9789.31971875 |
transcript.pyannote[1491].speaker |
SPEAKER_24 |
transcript.pyannote[1491].start |
9789.31971875 |
transcript.pyannote[1491].end |
9790.02846875 |
transcript.pyannote[1492].speaker |
SPEAKER_01 |
transcript.pyannote[1492].start |
9790.02846875 |
transcript.pyannote[1492].end |
9790.04534375 |
transcript.pyannote[1493].speaker |
SPEAKER_24 |
transcript.pyannote[1493].start |
9790.04534375 |
transcript.pyannote[1493].end |
9790.97346875 |
transcript.pyannote[1494].speaker |
SPEAKER_04 |
transcript.pyannote[1494].start |
9790.97346875 |
transcript.pyannote[1494].end |
9791.02409375 |
transcript.pyannote[1495].speaker |
SPEAKER_07 |
transcript.pyannote[1495].start |
9791.02409375 |
transcript.pyannote[1495].end |
9791.96909375 |
transcript.pyannote[1496].speaker |
SPEAKER_00 |
transcript.pyannote[1496].start |
9791.96909375 |
transcript.pyannote[1496].end |
9792.03659375 |
transcript.pyannote[1497].speaker |
SPEAKER_06 |
transcript.pyannote[1497].start |
9793.60596875 |
transcript.pyannote[1497].end |
9793.63971875 |
transcript.pyannote[1498].speaker |
SPEAKER_06 |
transcript.pyannote[1498].start |
9794.48346875 |
transcript.pyannote[1498].end |
9797.55471875 |
transcript.pyannote[1499].speaker |
SPEAKER_09 |
transcript.pyannote[1499].start |
9803.30909375 |
transcript.pyannote[1499].end |
9809.43471875 |
transcript.pyannote[1500].speaker |
SPEAKER_09 |
transcript.pyannote[1500].start |
9809.85659375 |
transcript.pyannote[1500].end |
9821.41596875 |
transcript.pyannote[1501].speaker |
SPEAKER_09 |
transcript.pyannote[1501].start |
9822.22596875 |
transcript.pyannote[1501].end |
9852.36471875 |
transcript.pyannote[1502].speaker |
SPEAKER_09 |
transcript.pyannote[1502].start |
9852.53346875 |
transcript.pyannote[1502].end |
9862.08471875 |
transcript.pyannote[1503].speaker |
SPEAKER_09 |
transcript.pyannote[1503].start |
9863.29971875 |
transcript.pyannote[1503].end |
9885.84471875 |
transcript.pyannote[1504].speaker |
SPEAKER_07 |
transcript.pyannote[1504].start |
9865.88159375 |
transcript.pyannote[1504].end |
9866.43846875 |
transcript.pyannote[1505].speaker |
SPEAKER_07 |
transcript.pyannote[1505].start |
9874.08284375 |
transcript.pyannote[1505].end |
9875.70284375 |
transcript.pyannote[1506].speaker |
SPEAKER_09 |
transcript.pyannote[1506].start |
9886.14846875 |
transcript.pyannote[1506].end |
9886.67159375 |
transcript.pyannote[1507].speaker |
SPEAKER_09 |
transcript.pyannote[1507].start |
9887.78534375 |
transcript.pyannote[1507].end |
9893.15159375 |
transcript.pyannote[1508].speaker |
SPEAKER_03 |
transcript.pyannote[1508].start |
9893.35409375 |
transcript.pyannote[1508].end |
9903.61409375 |
transcript.pyannote[1509].speaker |
SPEAKER_09 |
transcript.pyannote[1509].start |
9901.79159375 |
transcript.pyannote[1509].end |
9902.68596875 |
transcript.pyannote[1510].speaker |
SPEAKER_09 |
transcript.pyannote[1510].start |
9903.10784375 |
transcript.pyannote[1510].end |
9904.71096875 |
transcript.pyannote[1511].speaker |
SPEAKER_09 |
transcript.pyannote[1511].start |
9906.07784375 |
transcript.pyannote[1511].end |
9927.30659375 |
transcript.pyannote[1512].speaker |
SPEAKER_09 |
transcript.pyannote[1512].start |
9927.61034375 |
transcript.pyannote[1512].end |
9943.32096875 |
transcript.pyannote[1513].speaker |
SPEAKER_09 |
transcript.pyannote[1513].start |
9943.72596875 |
transcript.pyannote[1513].end |
9943.82721875 |
transcript.pyannote[1514].speaker |
SPEAKER_09 |
transcript.pyannote[1514].start |
9943.94534375 |
transcript.pyannote[1514].end |
9965.78159375 |
transcript.pyannote[1515].speaker |
SPEAKER_09 |
transcript.pyannote[1515].start |
9966.20346875 |
transcript.pyannote[1515].end |
9966.84471875 |
transcript.pyannote[1516].speaker |
SPEAKER_09 |
transcript.pyannote[1516].start |
9967.30034375 |
transcript.pyannote[1516].end |
9970.89471875 |
transcript.pyannote[1517].speaker |
SPEAKER_09 |
transcript.pyannote[1517].start |
9971.50221875 |
transcript.pyannote[1517].end |
9979.39971875 |
transcript.pyannote[1518].speaker |
SPEAKER_09 |
transcript.pyannote[1518].start |
9979.83846875 |
transcript.pyannote[1518].end |
9981.59346875 |
transcript.pyannote[1519].speaker |
SPEAKER_09 |
transcript.pyannote[1519].start |
9982.06596875 |
transcript.pyannote[1519].end |
9989.20409375 |
transcript.pyannote[1520].speaker |
SPEAKER_09 |
transcript.pyannote[1520].start |
9989.62596875 |
transcript.pyannote[1520].end |
9992.57909375 |
transcript.pyannote[1521].speaker |
SPEAKER_09 |
transcript.pyannote[1521].start |
9992.96721875 |
transcript.pyannote[1521].end |
10028.94471875 |
transcript.pyannote[1522].speaker |
SPEAKER_00 |
transcript.pyannote[1522].start |
9994.48596875 |
transcript.pyannote[1522].end |
9994.68846875 |
transcript.pyannote[1523].speaker |
SPEAKER_01 |
transcript.pyannote[1523].start |
9994.68846875 |
transcript.pyannote[1523].end |
9994.72221875 |
transcript.pyannote[1524].speaker |
SPEAKER_00 |
transcript.pyannote[1524].start |
9994.72221875 |
transcript.pyannote[1524].end |
9994.75596875 |
transcript.pyannote[1525].speaker |
SPEAKER_01 |
transcript.pyannote[1525].start |
9994.75596875 |
transcript.pyannote[1525].end |
9994.80659375 |
transcript.pyannote[1526].speaker |
SPEAKER_00 |
transcript.pyannote[1526].start |
9994.80659375 |
transcript.pyannote[1526].end |
9995.09346875 |
transcript.pyannote[1527].speaker |
SPEAKER_07 |
transcript.pyannote[1527].start |
10008.96471875 |
transcript.pyannote[1527].end |
10009.97721875 |
transcript.pyannote[1528].speaker |
SPEAKER_00 |
transcript.pyannote[1528].start |
10009.97721875 |
transcript.pyannote[1528].end |
10011.91784375 |
transcript.pyannote[1529].speaker |
SPEAKER_00 |
transcript.pyannote[1529].start |
10012.57596875 |
transcript.pyannote[1529].end |
10013.03159375 |
transcript.pyannote[1530].speaker |
SPEAKER_08 |
transcript.pyannote[1530].start |
10013.03159375 |
transcript.pyannote[1530].end |
10014.29721875 |
transcript.pyannote[1531].speaker |
SPEAKER_09 |
transcript.pyannote[1531].start |
10029.13034375 |
transcript.pyannote[1531].end |
10033.63596875 |
transcript.pyannote[1532].speaker |
SPEAKER_09 |
transcript.pyannote[1532].start |
10033.82159375 |
transcript.pyannote[1532].end |
10053.02534375 |
transcript.pyannote[1533].speaker |
SPEAKER_01 |
transcript.pyannote[1533].start |
10039.96409375 |
transcript.pyannote[1533].end |
10040.40284375 |
transcript.pyannote[1534].speaker |
SPEAKER_05 |
transcript.pyannote[1534].start |
10040.40284375 |
transcript.pyannote[1534].end |
10040.41971875 |
transcript.pyannote[1535].speaker |
SPEAKER_00 |
transcript.pyannote[1535].start |
10041.66846875 |
transcript.pyannote[1535].end |
10041.68534375 |
transcript.pyannote[1536].speaker |
SPEAKER_01 |
transcript.pyannote[1536].start |
10041.68534375 |
transcript.pyannote[1536].end |
10042.30971875 |
transcript.pyannote[1537].speaker |
SPEAKER_00 |
transcript.pyannote[1537].start |
10042.30971875 |
transcript.pyannote[1537].end |
10042.42784375 |
transcript.pyannote[1538].speaker |
SPEAKER_01 |
transcript.pyannote[1538].start |
10042.42784375 |
transcript.pyannote[1538].end |
10042.96784375 |
transcript.pyannote[1539].speaker |
SPEAKER_00 |
transcript.pyannote[1539].start |
10042.96784375 |
transcript.pyannote[1539].end |
10043.22096875 |
transcript.pyannote[1540].speaker |
SPEAKER_09 |
transcript.pyannote[1540].start |
10053.27846875 |
transcript.pyannote[1540].end |
10074.05159375 |
transcript.pyannote[1541].speaker |
SPEAKER_01 |
transcript.pyannote[1541].start |
10054.22346875 |
transcript.pyannote[1541].end |
10054.96596875 |
transcript.pyannote[1542].speaker |
SPEAKER_07 |
transcript.pyannote[1542].start |
10054.96596875 |
transcript.pyannote[1542].end |
10055.82659375 |
transcript.pyannote[1543].speaker |
SPEAKER_00 |
transcript.pyannote[1543].start |
10055.82659375 |
transcript.pyannote[1543].end |
10056.04596875 |
transcript.pyannote[1544].speaker |
SPEAKER_00 |
transcript.pyannote[1544].start |
10056.34971875 |
transcript.pyannote[1544].end |
10057.31159375 |
transcript.pyannote[1545].speaker |
SPEAKER_00 |
transcript.pyannote[1545].start |
10063.52159375 |
transcript.pyannote[1545].end |
10064.14596875 |
transcript.pyannote[1546].speaker |
SPEAKER_06 |
transcript.pyannote[1546].start |
10067.16659375 |
transcript.pyannote[1546].end |
10068.14534375 |
transcript.pyannote[1547].speaker |
SPEAKER_09 |
transcript.pyannote[1547].start |
10075.01346875 |
transcript.pyannote[1547].end |
10079.58659375 |
transcript.pyannote[1548].speaker |
SPEAKER_09 |
transcript.pyannote[1548].start |
10080.16034375 |
transcript.pyannote[1548].end |
10082.20221875 |
transcript.pyannote[1549].speaker |
SPEAKER_03 |
transcript.pyannote[1549].start |
10081.93221875 |
transcript.pyannote[1549].end |
10085.00346875 |
transcript.pyannote[1550].speaker |
SPEAKER_09 |
transcript.pyannote[1550].start |
10084.58159375 |
transcript.pyannote[1550].end |
10090.57221875 |
transcript.pyannote[1551].speaker |
SPEAKER_09 |
transcript.pyannote[1551].start |
10090.96034375 |
transcript.pyannote[1551].end |
10094.14971875 |
transcript.pyannote[1552].speaker |
SPEAKER_09 |
transcript.pyannote[1552].start |
10094.23409375 |
transcript.pyannote[1552].end |
10105.38846875 |
transcript.pyannote[1553].speaker |
SPEAKER_09 |
transcript.pyannote[1553].start |
10105.97909375 |
transcript.pyannote[1553].end |
10109.55659375 |
transcript.pyannote[1554].speaker |
SPEAKER_09 |
transcript.pyannote[1554].start |
10109.84346875 |
transcript.pyannote[1554].end |
10111.29471875 |
transcript.pyannote[1555].speaker |
SPEAKER_09 |
transcript.pyannote[1555].start |
10111.61534375 |
transcript.pyannote[1555].end |
10114.09596875 |
transcript.pyannote[1556].speaker |
SPEAKER_09 |
transcript.pyannote[1556].start |
10114.72034375 |
transcript.pyannote[1556].end |
10119.78284375 |
transcript.pyannote[1557].speaker |
SPEAKER_09 |
transcript.pyannote[1557].start |
10120.49159375 |
transcript.pyannote[1557].end |
10127.24159375 |
transcript.pyannote[1558].speaker |
SPEAKER_03 |
transcript.pyannote[1558].start |
10127.76471875 |
transcript.pyannote[1558].end |
10136.48909375 |
transcript.pyannote[1559].speaker |
SPEAKER_08 |
transcript.pyannote[1559].start |
10132.94534375 |
transcript.pyannote[1559].end |
10142.90159375 |
transcript.pyannote[1560].speaker |
SPEAKER_03 |
transcript.pyannote[1560].start |
10141.23096875 |
transcript.pyannote[1560].end |
10148.68971875 |
transcript.pyannote[1561].speaker |
SPEAKER_09 |
transcript.pyannote[1561].start |
10148.68971875 |
transcript.pyannote[1561].end |
10150.02284375 |
transcript.pyannote[1562].speaker |
SPEAKER_10 |
transcript.pyannote[1562].start |
10150.02284375 |
transcript.pyannote[1562].end |
10153.95471875 |
transcript.pyannote[1563].speaker |
SPEAKER_03 |
transcript.pyannote[1563].start |
10152.68909375 |
transcript.pyannote[1563].end |
10152.75659375 |
transcript.pyannote[1564].speaker |
SPEAKER_10 |
transcript.pyannote[1564].start |
10154.88284375 |
transcript.pyannote[1564].end |
10155.45659375 |
transcript.pyannote[1565].speaker |
SPEAKER_10 |
transcript.pyannote[1565].start |
10158.15659375 |
transcript.pyannote[1565].end |
10159.47284375 |
transcript.pyannote[1566].speaker |
SPEAKER_24 |
transcript.pyannote[1566].start |
10158.49409375 |
transcript.pyannote[1566].end |
10159.45596875 |
transcript.pyannote[1567].speaker |
SPEAKER_24 |
transcript.pyannote[1567].start |
10159.47284375 |
transcript.pyannote[1567].end |
10159.57409375 |
transcript.pyannote[1568].speaker |
SPEAKER_10 |
transcript.pyannote[1568].start |
10160.80596875 |
transcript.pyannote[1568].end |
10161.51471875 |
transcript.pyannote[1569].speaker |
SPEAKER_10 |
transcript.pyannote[1569].start |
10162.76346875 |
transcript.pyannote[1569].end |
10163.77596875 |
transcript.pyannote[1570].speaker |
SPEAKER_09 |
transcript.pyannote[1570].start |
10171.89284375 |
transcript.pyannote[1570].end |
10174.10346875 |
transcript.pyannote[1571].speaker |
SPEAKER_09 |
transcript.pyannote[1571].start |
10175.65596875 |
transcript.pyannote[1571].end |
10176.36471875 |
transcript.pyannote[1572].speaker |
SPEAKER_09 |
transcript.pyannote[1572].start |
10177.76534375 |
transcript.pyannote[1572].end |
10185.76409375 |
transcript.pyannote[1573].speaker |
SPEAKER_09 |
transcript.pyannote[1573].start |
10186.30409375 |
transcript.pyannote[1573].end |
10196.61471875 |
transcript.pyannote[1574].speaker |
SPEAKER_09 |
transcript.pyannote[1574].start |
10196.73284375 |
transcript.pyannote[1574].end |
10197.37409375 |
transcript.pyannote[1575].speaker |
SPEAKER_09 |
transcript.pyannote[1575].start |
10198.09971875 |
transcript.pyannote[1575].end |
10202.77409375 |
transcript.pyannote[1576].speaker |
SPEAKER_09 |
transcript.pyannote[1576].start |
10203.65159375 |
transcript.pyannote[1576].end |
10213.27034375 |
transcript.pyannote[1577].speaker |
SPEAKER_09 |
transcript.pyannote[1577].start |
10213.99596875 |
transcript.pyannote[1577].end |
10214.48534375 |
transcript.pyannote[1578].speaker |
SPEAKER_06 |
transcript.pyannote[1578].start |
10214.48534375 |
transcript.pyannote[1578].end |
10218.72096875 |
transcript.pyannote[1579].speaker |
SPEAKER_06 |
transcript.pyannote[1579].start |
10219.27784375 |
transcript.pyannote[1579].end |
10238.97096875 |
transcript.pyannote[1580].speaker |
SPEAKER_09 |
transcript.pyannote[1580].start |
10238.97096875 |
transcript.pyannote[1580].end |
10247.13846875 |
transcript.pyannote[1581].speaker |
SPEAKER_09 |
transcript.pyannote[1581].start |
10247.56034375 |
transcript.pyannote[1581].end |
10259.17034375 |
transcript.pyannote[1582].speaker |
SPEAKER_00 |
transcript.pyannote[1582].start |
10250.88471875 |
transcript.pyannote[1582].end |
10251.54284375 |
transcript.pyannote[1583].speaker |
SPEAKER_09 |
transcript.pyannote[1583].start |
10259.50784375 |
transcript.pyannote[1583].end |
10263.96284375 |
transcript.pyannote[1584].speaker |
SPEAKER_08 |
transcript.pyannote[1584].start |
10263.96284375 |
transcript.pyannote[1584].end |
10264.82346875 |
transcript.pyannote[1585].speaker |
SPEAKER_03 |
transcript.pyannote[1585].start |
10265.95409375 |
transcript.pyannote[1585].end |
10278.44159375 |
transcript.pyannote[1586].speaker |
SPEAKER_08 |
transcript.pyannote[1586].start |
10272.31596875 |
transcript.pyannote[1586].end |
10272.40034375 |
transcript.pyannote[1587].speaker |
SPEAKER_26 |
transcript.pyannote[1587].start |
10272.40034375 |
transcript.pyannote[1587].end |
10272.41721875 |
transcript.pyannote[1588].speaker |
SPEAKER_08 |
transcript.pyannote[1588].start |
10272.41721875 |
transcript.pyannote[1588].end |
10272.87284375 |
transcript.pyannote[1589].speaker |
SPEAKER_09 |
transcript.pyannote[1589].start |
10275.77534375 |
transcript.pyannote[1589].end |
10275.80909375 |
transcript.pyannote[1590].speaker |
SPEAKER_08 |
transcript.pyannote[1590].start |
10275.80909375 |
transcript.pyannote[1590].end |
10275.96096875 |
transcript.pyannote[1591].speaker |
SPEAKER_09 |
transcript.pyannote[1591].start |
10275.96096875 |
transcript.pyannote[1591].end |
10275.97784375 |
transcript.pyannote[1592].speaker |
SPEAKER_08 |
transcript.pyannote[1592].start |
10277.81721875 |
transcript.pyannote[1592].end |
10277.86784375 |
transcript.pyannote[1593].speaker |
SPEAKER_09 |
transcript.pyannote[1593].start |
10277.86784375 |
transcript.pyannote[1593].end |
10278.35721875 |
transcript.pyannote[1594].speaker |
SPEAKER_08 |
transcript.pyannote[1594].start |
10278.35721875 |
transcript.pyannote[1594].end |
10278.39096875 |
transcript.pyannote[1595].speaker |
SPEAKER_03 |
transcript.pyannote[1595].start |
10278.98159375 |
transcript.pyannote[1595].end |
10279.03221875 |
transcript.pyannote[1596].speaker |
SPEAKER_09 |
transcript.pyannote[1596].start |
10279.03221875 |
transcript.pyannote[1596].end |
10279.35284375 |
transcript.pyannote[1597].speaker |
SPEAKER_03 |
transcript.pyannote[1597].start |
10279.35284375 |
transcript.pyannote[1597].end |
10283.03159375 |
transcript.pyannote[1598].speaker |
SPEAKER_09 |
transcript.pyannote[1598].start |
10281.73221875 |
transcript.pyannote[1598].end |
10282.45784375 |
transcript.pyannote[1599].speaker |
SPEAKER_09 |
transcript.pyannote[1599].start |
10283.03159375 |
transcript.pyannote[1599].end |
10284.76971875 |
transcript.pyannote[1600].speaker |
SPEAKER_03 |
transcript.pyannote[1600].start |
10284.76971875 |
transcript.pyannote[1600].end |
10284.97221875 |
transcript.pyannote[1601].speaker |
SPEAKER_09 |
transcript.pyannote[1601].start |
10284.80346875 |
transcript.pyannote[1601].end |
10284.98909375 |
transcript.pyannote[1602].speaker |
SPEAKER_05 |
transcript.pyannote[1602].start |
10284.98909375 |
transcript.pyannote[1602].end |
10286.55846875 |
transcript.pyannote[1603].speaker |
SPEAKER_03 |
transcript.pyannote[1603].start |
10286.33909375 |
transcript.pyannote[1603].end |
10286.57534375 |
transcript.pyannote[1604].speaker |
SPEAKER_05 |
transcript.pyannote[1604].start |
10286.57534375 |
transcript.pyannote[1604].end |
10286.96346875 |
transcript.pyannote[1605].speaker |
SPEAKER_03 |
transcript.pyannote[1605].start |
10286.96346875 |
transcript.pyannote[1605].end |
10291.43534375 |
transcript.pyannote[1606].speaker |
SPEAKER_05 |
transcript.pyannote[1606].start |
10286.98034375 |
transcript.pyannote[1606].end |
10288.02659375 |
transcript.pyannote[1607].speaker |
SPEAKER_09 |
transcript.pyannote[1607].start |
10288.02659375 |
transcript.pyannote[1607].end |
10288.21221875 |
transcript.pyannote[1608].speaker |
SPEAKER_09 |
transcript.pyannote[1608].start |
10290.70971875 |
transcript.pyannote[1608].end |
10305.27284375 |
transcript.pyannote[1609].speaker |
SPEAKER_04 |
transcript.pyannote[1609].start |
10304.69909375 |
transcript.pyannote[1609].end |
10305.15471875 |
transcript.pyannote[1610].speaker |
SPEAKER_09 |
transcript.pyannote[1610].start |
10306.09971875 |
transcript.pyannote[1610].end |
10306.60596875 |
transcript.pyannote[1611].speaker |
SPEAKER_09 |
transcript.pyannote[1611].start |
10307.14596875 |
transcript.pyannote[1611].end |
10309.47471875 |
transcript.pyannote[1612].speaker |
SPEAKER_04 |
transcript.pyannote[1612].start |
10308.46221875 |
transcript.pyannote[1612].end |
10310.80784375 |
transcript.pyannote[1613].speaker |
SPEAKER_09 |
transcript.pyannote[1613].start |
10309.49159375 |
transcript.pyannote[1613].end |
10320.42659375 |
transcript.pyannote[1614].speaker |
SPEAKER_09 |
transcript.pyannote[1614].start |
10320.83159375 |
transcript.pyannote[1614].end |
10324.07159375 |
transcript.pyannote[1615].speaker |
SPEAKER_09 |
transcript.pyannote[1615].start |
10324.49346875 |
transcript.pyannote[1615].end |
10333.16721875 |
transcript.pyannote[1616].speaker |
SPEAKER_04 |
transcript.pyannote[1616].start |
10333.28534375 |
transcript.pyannote[1616].end |
10333.92659375 |
transcript.pyannote[1617].speaker |
SPEAKER_04 |
transcript.pyannote[1617].start |
10334.55096875 |
transcript.pyannote[1617].end |
10335.63096875 |
transcript.pyannote[1618].speaker |
SPEAKER_09 |
transcript.pyannote[1618].start |
10335.19221875 |
transcript.pyannote[1618].end |
10336.87971875 |
transcript.pyannote[1619].speaker |
SPEAKER_10 |
transcript.pyannote[1619].start |
10335.63096875 |
transcript.pyannote[1619].end |
10338.26346875 |
transcript.pyannote[1620].speaker |
SPEAKER_09 |
transcript.pyannote[1620].start |
10336.99784375 |
transcript.pyannote[1620].end |
10337.01471875 |
transcript.pyannote[1621].speaker |
SPEAKER_04 |
transcript.pyannote[1621].start |
10337.01471875 |
transcript.pyannote[1621].end |
10337.04846875 |
transcript.pyannote[1622].speaker |
SPEAKER_09 |
transcript.pyannote[1622].start |
10337.04846875 |
transcript.pyannote[1622].end |
10338.21284375 |
transcript.pyannote[1623].speaker |
SPEAKER_10 |
transcript.pyannote[1623].start |
10339.56284375 |
transcript.pyannote[1623].end |
10341.84096875 |
transcript.pyannote[1624].speaker |
SPEAKER_14 |
transcript.pyannote[1624].start |
10351.79721875 |
transcript.pyannote[1624].end |
10356.53909375 |
transcript.pyannote[1625].speaker |
SPEAKER_14 |
transcript.pyannote[1625].start |
10356.92721875 |
transcript.pyannote[1625].end |
10357.77096875 |
transcript.pyannote[1626].speaker |
SPEAKER_14 |
transcript.pyannote[1626].start |
10363.15409375 |
transcript.pyannote[1626].end |
10363.62659375 |
transcript.pyannote[1627].speaker |
SPEAKER_14 |
transcript.pyannote[1627].start |
10363.86284375 |
transcript.pyannote[1627].end |
10364.68971875 |
transcript.pyannote[1628].speaker |
SPEAKER_14 |
transcript.pyannote[1628].start |
10365.43221875 |
transcript.pyannote[1628].end |
10365.92159375 |
transcript.pyannote[1629].speaker |
SPEAKER_14 |
transcript.pyannote[1629].start |
10365.97221875 |
transcript.pyannote[1629].end |
10365.98909375 |
transcript.pyannote[1630].speaker |
SPEAKER_14 |
transcript.pyannote[1630].start |
10366.15784375 |
transcript.pyannote[1630].end |
10371.65909375 |
transcript.pyannote[1631].speaker |
SPEAKER_14 |
transcript.pyannote[1631].start |
10372.03034375 |
transcript.pyannote[1631].end |
10373.02596875 |
transcript.pyannote[1632].speaker |
SPEAKER_14 |
transcript.pyannote[1632].start |
10373.49846875 |
transcript.pyannote[1632].end |
10375.54034375 |
transcript.pyannote[1633].speaker |
SPEAKER_14 |
transcript.pyannote[1633].start |
10375.67534375 |
transcript.pyannote[1633].end |
10376.83971875 |
transcript.pyannote[1634].speaker |
SPEAKER_14 |
transcript.pyannote[1634].start |
10376.85659375 |
transcript.pyannote[1634].end |
10377.17721875 |
transcript.pyannote[1635].speaker |
SPEAKER_14 |
transcript.pyannote[1635].start |
10377.70034375 |
transcript.pyannote[1635].end |
10383.28596875 |
transcript.pyannote[1636].speaker |
SPEAKER_14 |
transcript.pyannote[1636].start |
10383.74159375 |
transcript.pyannote[1636].end |
10387.47096875 |
transcript.pyannote[1637].speaker |
SPEAKER_14 |
transcript.pyannote[1637].start |
10387.75784375 |
transcript.pyannote[1637].end |
10400.41409375 |
transcript.pyannote[1638].speaker |
SPEAKER_14 |
transcript.pyannote[1638].start |
10400.59971875 |
transcript.pyannote[1638].end |
10402.20284375 |
transcript.pyannote[1639].speaker |
SPEAKER_14 |
transcript.pyannote[1639].start |
10402.35471875 |
transcript.pyannote[1639].end |
10404.05909375 |
transcript.pyannote[1640].speaker |
SPEAKER_14 |
transcript.pyannote[1640].start |
10404.39659375 |
transcript.pyannote[1640].end |
10406.97846875 |
transcript.pyannote[1641].speaker |
SPEAKER_14 |
transcript.pyannote[1641].start |
10407.19784375 |
transcript.pyannote[1641].end |
10411.60221875 |
transcript.pyannote[1642].speaker |
SPEAKER_14 |
transcript.pyannote[1642].start |
10411.99034375 |
transcript.pyannote[1642].end |
10412.49659375 |
transcript.pyannote[1643].speaker |
SPEAKER_14 |
transcript.pyannote[1643].start |
10412.91846875 |
transcript.pyannote[1643].end |
10417.08659375 |
transcript.pyannote[1644].speaker |
SPEAKER_14 |
transcript.pyannote[1644].start |
10418.13284375 |
transcript.pyannote[1644].end |
10434.23159375 |
transcript.pyannote[1645].speaker |
SPEAKER_14 |
transcript.pyannote[1645].start |
10434.70409375 |
transcript.pyannote[1645].end |
10438.14659375 |
transcript.pyannote[1646].speaker |
SPEAKER_14 |
transcript.pyannote[1646].start |
10438.85534375 |
transcript.pyannote[1646].end |
10443.83346875 |
transcript.pyannote[1647].speaker |
SPEAKER_14 |
transcript.pyannote[1647].start |
10443.96846875 |
transcript.pyannote[1647].end |
10450.31346875 |
transcript.pyannote[1648].speaker |
SPEAKER_14 |
transcript.pyannote[1648].start |
10452.08534375 |
transcript.pyannote[1648].end |
10455.39284375 |
transcript.pyannote[1649].speaker |
SPEAKER_14 |
transcript.pyannote[1649].start |
10455.73034375 |
transcript.pyannote[1649].end |
10460.42159375 |
transcript.pyannote[1650].speaker |
SPEAKER_09 |
transcript.pyannote[1650].start |
10460.75909375 |
transcript.pyannote[1650].end |
10493.20971875 |
transcript.pyannote[1651].speaker |
SPEAKER_00 |
transcript.pyannote[1651].start |
10484.99159375 |
transcript.pyannote[1651].end |
10486.42596875 |
transcript.pyannote[1652].speaker |
SPEAKER_00 |
transcript.pyannote[1652].start |
10488.58596875 |
transcript.pyannote[1652].end |
10489.05846875 |
transcript.pyannote[1653].speaker |
SPEAKER_09 |
transcript.pyannote[1653].start |
10493.85096875 |
transcript.pyannote[1653].end |
10543.80096875 |
transcript.pyannote[1654].speaker |
SPEAKER_01 |
transcript.pyannote[1654].start |
10534.60409375 |
transcript.pyannote[1654].end |
10534.89096875 |
transcript.pyannote[1655].speaker |
SPEAKER_14 |
transcript.pyannote[1655].start |
10539.39659375 |
transcript.pyannote[1655].end |
10540.22346875 |
transcript.pyannote[1656].speaker |
SPEAKER_14 |
transcript.pyannote[1656].start |
10540.79721875 |
transcript.pyannote[1656].end |
10541.26971875 |
transcript.pyannote[1657].speaker |
SPEAKER_14 |
transcript.pyannote[1657].start |
10543.86846875 |
transcript.pyannote[1657].end |
10545.94409375 |
transcript.pyannote[1658].speaker |
SPEAKER_14 |
transcript.pyannote[1658].start |
10546.53471875 |
transcript.pyannote[1658].end |
10549.16721875 |
transcript.pyannote[1659].speaker |
SPEAKER_14 |
transcript.pyannote[1659].start |
10549.85909375 |
transcript.pyannote[1659].end |
10551.81659375 |
transcript.pyannote[1660].speaker |
SPEAKER_14 |
transcript.pyannote[1660].start |
10552.25534375 |
transcript.pyannote[1660].end |
10553.57159375 |
transcript.pyannote[1661].speaker |
SPEAKER_14 |
transcript.pyannote[1661].start |
10553.85846875 |
transcript.pyannote[1661].end |
10557.65534375 |
transcript.pyannote[1662].speaker |
SPEAKER_14 |
transcript.pyannote[1662].start |
10558.26284375 |
transcript.pyannote[1662].end |
10558.88721875 |
transcript.pyannote[1663].speaker |
SPEAKER_14 |
transcript.pyannote[1663].start |
10559.35971875 |
transcript.pyannote[1663].end |
10561.82346875 |
transcript.pyannote[1664].speaker |
SPEAKER_14 |
transcript.pyannote[1664].start |
10562.04284375 |
transcript.pyannote[1664].end |
10566.71721875 |
transcript.pyannote[1665].speaker |
SPEAKER_14 |
transcript.pyannote[1665].start |
10567.35846875 |
transcript.pyannote[1665].end |
10572.35346875 |
transcript.pyannote[1666].speaker |
SPEAKER_14 |
transcript.pyannote[1666].start |
10572.72471875 |
transcript.pyannote[1666].end |
10575.64409375 |
transcript.pyannote[1667].speaker |
SPEAKER_09 |
transcript.pyannote[1667].start |
10575.52596875 |
transcript.pyannote[1667].end |
10581.31409375 |
transcript.pyannote[1668].speaker |
SPEAKER_14 |
transcript.pyannote[1668].start |
10576.04909375 |
transcript.pyannote[1668].end |
10577.02784375 |
transcript.pyannote[1669].speaker |
SPEAKER_14 |
transcript.pyannote[1669].start |
10578.49596875 |
transcript.pyannote[1669].end |
10578.78284375 |
transcript.pyannote[1670].speaker |
SPEAKER_14 |
transcript.pyannote[1670].start |
10579.32284375 |
transcript.pyannote[1670].end |
10590.02159375 |
transcript.pyannote[1671].speaker |
SPEAKER_14 |
transcript.pyannote[1671].start |
10590.71346875 |
transcript.pyannote[1671].end |
10593.24471875 |
transcript.pyannote[1672].speaker |
SPEAKER_14 |
transcript.pyannote[1672].start |
10594.25721875 |
transcript.pyannote[1672].end |
10594.35846875 |
transcript.pyannote[1673].speaker |
SPEAKER_14 |
transcript.pyannote[1673].start |
10594.52721875 |
transcript.pyannote[1673].end |
10595.92784375 |
transcript.pyannote[1674].speaker |
SPEAKER_14 |
transcript.pyannote[1674].start |
10596.53534375 |
transcript.pyannote[1674].end |
10598.84721875 |
transcript.pyannote[1675].speaker |
SPEAKER_14 |
transcript.pyannote[1675].start |
10599.28596875 |
transcript.pyannote[1675].end |
10600.38284375 |
transcript.pyannote[1676].speaker |
SPEAKER_14 |
transcript.pyannote[1676].start |
10600.77096875 |
transcript.pyannote[1676].end |
10605.00659375 |
transcript.pyannote[1677].speaker |
SPEAKER_09 |
transcript.pyannote[1677].start |
10605.54659375 |
transcript.pyannote[1677].end |
10619.95784375 |
transcript.pyannote[1678].speaker |
SPEAKER_09 |
transcript.pyannote[1678].start |
10619.97471875 |
transcript.pyannote[1678].end |
10620.02534375 |
transcript.pyannote[1679].speaker |
SPEAKER_09 |
transcript.pyannote[1679].start |
10620.12659375 |
transcript.pyannote[1679].end |
10622.18534375 |
transcript.pyannote[1680].speaker |
SPEAKER_09 |
transcript.pyannote[1680].start |
10622.79284375 |
transcript.pyannote[1680].end |
10623.23159375 |
transcript.pyannote[1681].speaker |
SPEAKER_09 |
transcript.pyannote[1681].start |
10623.38346875 |
transcript.pyannote[1681].end |
10644.49409375 |
transcript.pyannote[1682].speaker |
SPEAKER_09 |
transcript.pyannote[1682].start |
10645.18596875 |
transcript.pyannote[1682].end |
10656.71159375 |
transcript.pyannote[1683].speaker |
SPEAKER_14 |
transcript.pyannote[1683].start |
10653.33659375 |
transcript.pyannote[1683].end |
10653.72471875 |
transcript.pyannote[1684].speaker |
SPEAKER_14 |
transcript.pyannote[1684].start |
10654.58534375 |
transcript.pyannote[1684].end |
10655.39534375 |
transcript.pyannote[1685].speaker |
SPEAKER_14 |
transcript.pyannote[1685].start |
10656.27284375 |
transcript.pyannote[1685].end |
10672.32096875 |
transcript.pyannote[1686].speaker |
SPEAKER_09 |
transcript.pyannote[1686].start |
10672.05096875 |
transcript.pyannote[1686].end |
10678.32846875 |
transcript.pyannote[1687].speaker |
SPEAKER_07 |
transcript.pyannote[1687].start |
10672.94534375 |
transcript.pyannote[1687].end |
10672.96221875 |
transcript.pyannote[1688].speaker |
SPEAKER_01 |
transcript.pyannote[1688].start |
10672.96221875 |
transcript.pyannote[1688].end |
10673.02971875 |
transcript.pyannote[1689].speaker |
SPEAKER_07 |
transcript.pyannote[1689].start |
10673.02971875 |
transcript.pyannote[1689].end |
10673.06346875 |
transcript.pyannote[1690].speaker |
SPEAKER_14 |
transcript.pyannote[1690].start |
10673.06346875 |
transcript.pyannote[1690].end |
10673.11409375 |
transcript.pyannote[1691].speaker |
SPEAKER_07 |
transcript.pyannote[1691].start |
10673.11409375 |
transcript.pyannote[1691].end |
10673.28284375 |
transcript.pyannote[1692].speaker |
SPEAKER_14 |
transcript.pyannote[1692].start |
10673.28284375 |
transcript.pyannote[1692].end |
10673.55284375 |
transcript.pyannote[1693].speaker |
SPEAKER_14 |
transcript.pyannote[1693].start |
10673.87346875 |
transcript.pyannote[1693].end |
10673.97471875 |
transcript.pyannote[1694].speaker |
SPEAKER_07 |
transcript.pyannote[1694].start |
10674.32909375 |
transcript.pyannote[1694].end |
10674.49784375 |
transcript.pyannote[1695].speaker |
SPEAKER_14 |
transcript.pyannote[1695].start |
10674.49784375 |
transcript.pyannote[1695].end |
10678.22721875 |
transcript.pyannote[1696].speaker |
SPEAKER_14 |
transcript.pyannote[1696].start |
10678.27784375 |
transcript.pyannote[1696].end |
10681.97346875 |
transcript.pyannote[1697].speaker |
SPEAKER_09 |
transcript.pyannote[1697].start |
10681.77096875 |
transcript.pyannote[1697].end |
10681.87221875 |
transcript.pyannote[1698].speaker |
SPEAKER_06 |
transcript.pyannote[1698].start |
10681.87221875 |
transcript.pyannote[1698].end |
10682.76659375 |
transcript.pyannote[1699].speaker |
SPEAKER_14 |
transcript.pyannote[1699].start |
10682.66534375 |
transcript.pyannote[1699].end |
10699.99596875 |
transcript.pyannote[1700].speaker |
SPEAKER_14 |
transcript.pyannote[1700].start |
10700.48534375 |
transcript.pyannote[1700].end |
10704.70409375 |
transcript.pyannote[1701].speaker |
SPEAKER_14 |
transcript.pyannote[1701].start |
10705.02471875 |
transcript.pyannote[1701].end |
10706.84721875 |
transcript.pyannote[1702].speaker |
SPEAKER_14 |
transcript.pyannote[1702].start |
10707.70784375 |
transcript.pyannote[1702].end |
10711.47096875 |
transcript.pyannote[1703].speaker |
SPEAKER_14 |
transcript.pyannote[1703].start |
10711.89284375 |
transcript.pyannote[1703].end |
10714.33971875 |
transcript.pyannote[1704].speaker |
SPEAKER_14 |
transcript.pyannote[1704].start |
10714.71096875 |
transcript.pyannote[1704].end |
10717.42784375 |
transcript.pyannote[1705].speaker |
SPEAKER_14 |
transcript.pyannote[1705].start |
10717.86659375 |
transcript.pyannote[1705].end |
10719.63846875 |
transcript.pyannote[1706].speaker |
SPEAKER_14 |
transcript.pyannote[1706].start |
10720.27971875 |
transcript.pyannote[1706].end |
10720.80284375 |
transcript.pyannote[1707].speaker |
SPEAKER_14 |
transcript.pyannote[1707].start |
10721.96721875 |
transcript.pyannote[1707].end |
10727.90721875 |
transcript.pyannote[1708].speaker |
SPEAKER_14 |
transcript.pyannote[1708].start |
10727.97471875 |
transcript.pyannote[1708].end |
10733.93159375 |
transcript.pyannote[1709].speaker |
SPEAKER_14 |
transcript.pyannote[1709].start |
10734.45471875 |
transcript.pyannote[1709].end |
10746.01409375 |
transcript.pyannote[1710].speaker |
SPEAKER_09 |
transcript.pyannote[1710].start |
10746.62159375 |
transcript.pyannote[1710].end |
10767.93471875 |
transcript.pyannote[1711].speaker |
SPEAKER_14 |
transcript.pyannote[1711].start |
10769.03159375 |
transcript.pyannote[1711].end |
10779.98346875 |
transcript.pyannote[1712].speaker |
SPEAKER_14 |
transcript.pyannote[1712].start |
10780.33784375 |
transcript.pyannote[1712].end |
10788.99471875 |
transcript.pyannote[1713].speaker |
SPEAKER_09 |
transcript.pyannote[1713].start |
10788.25221875 |
transcript.pyannote[1713].end |
10792.26846875 |
transcript.pyannote[1714].speaker |
SPEAKER_14 |
transcript.pyannote[1714].start |
10790.61471875 |
transcript.pyannote[1714].end |
10798.36034375 |
transcript.pyannote[1715].speaker |
SPEAKER_09 |
transcript.pyannote[1715].start |
10793.60159375 |
transcript.pyannote[1715].end |
10797.01034375 |
transcript.pyannote[1716].speaker |
SPEAKER_14 |
transcript.pyannote[1716].start |
10798.64721875 |
transcript.pyannote[1716].end |
10819.03221875 |
transcript.pyannote[1717].speaker |
SPEAKER_00 |
transcript.pyannote[1717].start |
10800.23346875 |
transcript.pyannote[1717].end |
10800.25034375 |
transcript.pyannote[1718].speaker |
SPEAKER_01 |
transcript.pyannote[1718].start |
10800.25034375 |
transcript.pyannote[1718].end |
10800.57096875 |
transcript.pyannote[1719].speaker |
SPEAKER_00 |
transcript.pyannote[1719].start |
10800.57096875 |
transcript.pyannote[1719].end |
10800.60471875 |
transcript.pyannote[1720].speaker |
SPEAKER_14 |
transcript.pyannote[1720].start |
10819.82534375 |
transcript.pyannote[1720].end |
10821.10784375 |
transcript.pyannote[1721].speaker |
SPEAKER_14 |
transcript.pyannote[1721].start |
10821.41159375 |
transcript.pyannote[1721].end |
10827.75659375 |
transcript.pyannote[1722].speaker |
SPEAKER_14 |
transcript.pyannote[1722].start |
10828.21221875 |
transcript.pyannote[1722].end |
10828.48221875 |
transcript.pyannote[1723].speaker |
SPEAKER_14 |
transcript.pyannote[1723].start |
10829.69721875 |
transcript.pyannote[1723].end |
10841.32409375 |
transcript.pyannote[1724].speaker |
SPEAKER_14 |
transcript.pyannote[1724].start |
10842.03284375 |
transcript.pyannote[1724].end |
10843.93971875 |
transcript.pyannote[1725].speaker |
SPEAKER_14 |
transcript.pyannote[1725].start |
10844.47971875 |
transcript.pyannote[1725].end |
10847.17971875 |
transcript.pyannote[1726].speaker |
SPEAKER_14 |
transcript.pyannote[1726].start |
10847.77034375 |
transcript.pyannote[1726].end |
10849.96409375 |
transcript.pyannote[1727].speaker |
SPEAKER_14 |
transcript.pyannote[1727].start |
10850.48721875 |
transcript.pyannote[1727].end |
10851.61784375 |
transcript.pyannote[1728].speaker |
SPEAKER_14 |
transcript.pyannote[1728].start |
10851.85409375 |
transcript.pyannote[1728].end |
10855.22909375 |
transcript.pyannote[1729].speaker |
SPEAKER_09 |
transcript.pyannote[1729].start |
10856.07284375 |
transcript.pyannote[1729].end |
10863.64971875 |
transcript.pyannote[1730].speaker |
SPEAKER_14 |
transcript.pyannote[1730].start |
10857.18659375 |
transcript.pyannote[1730].end |
10857.47346875 |
transcript.pyannote[1731].speaker |
SPEAKER_14 |
transcript.pyannote[1731].start |
10860.19034375 |
transcript.pyannote[1731].end |
10864.56096875 |
transcript.pyannote[1732].speaker |
SPEAKER_09 |
transcript.pyannote[1732].start |
10863.97034375 |
transcript.pyannote[1732].end |
10864.37534375 |
transcript.pyannote[1733].speaker |
SPEAKER_14 |
transcript.pyannote[1733].start |
10865.08409375 |
transcript.pyannote[1733].end |
10874.38221875 |
transcript.pyannote[1734].speaker |
SPEAKER_14 |
transcript.pyannote[1734].start |
10874.61846875 |
transcript.pyannote[1734].end |
10875.68159375 |
transcript.pyannote[1735].speaker |
SPEAKER_14 |
transcript.pyannote[1735].start |
10876.13721875 |
transcript.pyannote[1735].end |
10896.85971875 |
transcript.pyannote[1736].speaker |
SPEAKER_14 |
transcript.pyannote[1736].start |
10897.23096875 |
transcript.pyannote[1736].end |
10905.43221875 |
transcript.pyannote[1737].speaker |
SPEAKER_14 |
transcript.pyannote[1737].start |
10905.95534375 |
transcript.pyannote[1737].end |
10906.44471875 |
transcript.pyannote[1738].speaker |
SPEAKER_14 |
transcript.pyannote[1738].start |
10906.61346875 |
transcript.pyannote[1738].end |
10925.81721875 |
transcript.pyannote[1739].speaker |
SPEAKER_09 |
transcript.pyannote[1739].start |
10926.79596875 |
transcript.pyannote[1739].end |
10942.47284375 |
transcript.pyannote[1740].speaker |
SPEAKER_14 |
transcript.pyannote[1740].start |
10942.47284375 |
transcript.pyannote[1740].end |
10945.05471875 |
transcript.pyannote[1741].speaker |
SPEAKER_09 |
transcript.pyannote[1741].start |
10944.85221875 |
transcript.pyannote[1741].end |
10947.50159375 |
transcript.pyannote[1742].speaker |
SPEAKER_14 |
transcript.pyannote[1742].start |
10945.96596875 |
transcript.pyannote[1742].end |
10946.82659375 |
transcript.pyannote[1743].speaker |
SPEAKER_14 |
transcript.pyannote[1743].start |
10947.50159375 |
transcript.pyannote[1743].end |
10953.18846875 |
transcript.pyannote[1744].speaker |
SPEAKER_09 |
transcript.pyannote[1744].start |
10950.28596875 |
transcript.pyannote[1744].end |
10950.70784375 |
transcript.pyannote[1745].speaker |
SPEAKER_01 |
transcript.pyannote[1745].start |
10953.10409375 |
transcript.pyannote[1745].end |
10954.48784375 |
transcript.pyannote[1746].speaker |
SPEAKER_14 |
transcript.pyannote[1746].start |
10953.28971875 |
transcript.pyannote[1746].end |
10959.14534375 |
transcript.pyannote[1747].speaker |
SPEAKER_09 |
transcript.pyannote[1747].start |
10954.48784375 |
transcript.pyannote[1747].end |
10954.50471875 |
transcript.pyannote[1748].speaker |
SPEAKER_14 |
transcript.pyannote[1748].start |
10959.55034375 |
transcript.pyannote[1748].end |
10963.17846875 |
transcript.pyannote[1749].speaker |
SPEAKER_09 |
transcript.pyannote[1749].start |
10962.13221875 |
transcript.pyannote[1749].end |
10964.71409375 |
transcript.pyannote[1750].speaker |
SPEAKER_14 |
transcript.pyannote[1750].start |
10963.75221875 |
transcript.pyannote[1750].end |
10972.00409375 |
transcript.pyannote[1751].speaker |
SPEAKER_09 |
transcript.pyannote[1751].start |
10969.82721875 |
transcript.pyannote[1751].end |
10970.97471875 |
transcript.pyannote[1752].speaker |
SPEAKER_10 |
transcript.pyannote[1752].start |
10972.12221875 |
transcript.pyannote[1752].end |
10976.54346875 |
transcript.pyannote[1753].speaker |
SPEAKER_23 |
transcript.pyannote[1753].start |
10991.73096875 |
transcript.pyannote[1753].end |
10991.76471875 |
transcript.pyannote[1754].speaker |
SPEAKER_10 |
transcript.pyannote[1754].start |
10991.76471875 |
transcript.pyannote[1754].end |
10992.55784375 |
transcript.pyannote[1755].speaker |
SPEAKER_23 |
transcript.pyannote[1755].start |
10992.82784375 |
transcript.pyannote[1755].end |
10992.84471875 |
transcript.pyannote[1756].speaker |
SPEAKER_10 |
transcript.pyannote[1756].start |
10992.84471875 |
transcript.pyannote[1756].end |
10994.21159375 |
transcript.pyannote[1757].speaker |
SPEAKER_10 |
transcript.pyannote[1757].start |
10994.71784375 |
transcript.pyannote[1757].end |
10995.32534375 |
transcript.pyannote[1758].speaker |
SPEAKER_10 |
transcript.pyannote[1758].start |
10995.79784375 |
transcript.pyannote[1758].end |
10996.82721875 |
transcript.pyannote[1759].speaker |
SPEAKER_23 |
transcript.pyannote[1759].start |
11000.52284375 |
transcript.pyannote[1759].end |
11001.11346875 |
transcript.pyannote[1760].speaker |
SPEAKER_23 |
transcript.pyannote[1760].start |
11001.50159375 |
transcript.pyannote[1760].end |
11003.44221875 |
transcript.pyannote[1761].speaker |
SPEAKER_23 |
transcript.pyannote[1761].start |
11004.06659375 |
transcript.pyannote[1761].end |
11006.14221875 |
transcript.pyannote[1762].speaker |
SPEAKER_23 |
transcript.pyannote[1762].start |
11006.49659375 |
transcript.pyannote[1762].end |
11008.18409375 |
transcript.pyannote[1763].speaker |
SPEAKER_23 |
transcript.pyannote[1763].start |
11008.90971875 |
transcript.pyannote[1763].end |
11010.78284375 |
transcript.pyannote[1764].speaker |
SPEAKER_23 |
transcript.pyannote[1764].start |
11012.28471875 |
transcript.pyannote[1764].end |
11012.53784375 |
transcript.pyannote[1765].speaker |
SPEAKER_23 |
transcript.pyannote[1765].start |
11013.53346875 |
transcript.pyannote[1765].end |
11014.37721875 |
transcript.pyannote[1766].speaker |
SPEAKER_23 |
transcript.pyannote[1766].start |
11015.89596875 |
transcript.pyannote[1766].end |
11017.21221875 |
transcript.pyannote[1767].speaker |
SPEAKER_23 |
transcript.pyannote[1767].start |
11018.25846875 |
transcript.pyannote[1767].end |
11025.49784375 |
transcript.pyannote[1768].speaker |
SPEAKER_23 |
transcript.pyannote[1768].start |
11026.29096875 |
transcript.pyannote[1768].end |
11033.85096875 |
transcript.pyannote[1769].speaker |
SPEAKER_23 |
transcript.pyannote[1769].start |
11034.67784375 |
transcript.pyannote[1769].end |
11036.29784375 |
transcript.pyannote[1770].speaker |
SPEAKER_23 |
transcript.pyannote[1770].start |
11037.20909375 |
transcript.pyannote[1770].end |
11037.93471875 |
transcript.pyannote[1771].speaker |
SPEAKER_23 |
transcript.pyannote[1771].start |
11038.12034375 |
transcript.pyannote[1771].end |
11039.45346875 |
transcript.pyannote[1772].speaker |
SPEAKER_23 |
transcript.pyannote[1772].start |
11040.61784375 |
transcript.pyannote[1772].end |
11046.15284375 |
transcript.pyannote[1773].speaker |
SPEAKER_23 |
transcript.pyannote[1773].start |
11047.04721875 |
transcript.pyannote[1773].end |
11050.45596875 |
transcript.pyannote[1774].speaker |
SPEAKER_23 |
transcript.pyannote[1774].start |
11051.35034375 |
transcript.pyannote[1774].end |
11052.26159375 |
transcript.pyannote[1775].speaker |
SPEAKER_23 |
transcript.pyannote[1775].start |
11052.59909375 |
transcript.pyannote[1775].end |
11054.26971875 |
transcript.pyannote[1776].speaker |
SPEAKER_23 |
transcript.pyannote[1776].start |
11055.14721875 |
transcript.pyannote[1776].end |
11055.99096875 |
transcript.pyannote[1777].speaker |
SPEAKER_23 |
transcript.pyannote[1777].start |
11057.25659375 |
transcript.pyannote[1777].end |
11059.26471875 |
transcript.pyannote[1778].speaker |
SPEAKER_23 |
transcript.pyannote[1778].start |
11059.46721875 |
transcript.pyannote[1778].end |
11068.22534375 |
transcript.pyannote[1779].speaker |
SPEAKER_23 |
transcript.pyannote[1779].start |
11069.47409375 |
transcript.pyannote[1779].end |
11071.70159375 |
transcript.pyannote[1780].speaker |
SPEAKER_23 |
transcript.pyannote[1780].start |
11072.89971875 |
transcript.pyannote[1780].end |
11073.64221875 |
transcript.pyannote[1781].speaker |
SPEAKER_23 |
transcript.pyannote[1781].start |
11074.14846875 |
transcript.pyannote[1781].end |
11077.64159375 |
transcript.pyannote[1782].speaker |
SPEAKER_23 |
transcript.pyannote[1782].start |
11078.08034375 |
transcript.pyannote[1782].end |
11079.61596875 |
transcript.pyannote[1783].speaker |
SPEAKER_23 |
transcript.pyannote[1783].start |
11082.09659375 |
transcript.pyannote[1783].end |
11083.83471875 |
transcript.pyannote[1784].speaker |
SPEAKER_23 |
transcript.pyannote[1784].start |
11084.66159375 |
transcript.pyannote[1784].end |
11087.51346875 |
transcript.pyannote[1785].speaker |
SPEAKER_23 |
transcript.pyannote[1785].start |
11088.71159375 |
transcript.pyannote[1785].end |
11101.40159375 |
transcript.pyannote[1786].speaker |
SPEAKER_23 |
transcript.pyannote[1786].start |
11102.95409375 |
transcript.pyannote[1786].end |
11103.96659375 |
transcript.pyannote[1787].speaker |
SPEAKER_23 |
transcript.pyannote[1787].start |
11104.55721875 |
transcript.pyannote[1787].end |
11105.65409375 |
transcript.pyannote[1788].speaker |
SPEAKER_23 |
transcript.pyannote[1788].start |
11107.49346875 |
transcript.pyannote[1788].end |
11115.13784375 |
transcript.pyannote[1789].speaker |
SPEAKER_23 |
transcript.pyannote[1789].start |
11116.13346875 |
transcript.pyannote[1789].end |
11117.31471875 |
transcript.pyannote[1790].speaker |
SPEAKER_23 |
transcript.pyannote[1790].start |
11118.02346875 |
transcript.pyannote[1790].end |
11118.90096875 |
transcript.pyannote[1791].speaker |
SPEAKER_23 |
transcript.pyannote[1791].start |
11119.96409375 |
transcript.pyannote[1791].end |
11122.03971875 |
transcript.pyannote[1792].speaker |
SPEAKER_23 |
transcript.pyannote[1792].start |
11122.25909375 |
transcript.pyannote[1792].end |
11123.65971875 |
transcript.pyannote[1793].speaker |
SPEAKER_23 |
transcript.pyannote[1793].start |
11125.06034375 |
transcript.pyannote[1793].end |
11125.90409375 |
transcript.pyannote[1794].speaker |
SPEAKER_23 |
transcript.pyannote[1794].start |
11126.24159375 |
transcript.pyannote[1794].end |
11127.37221875 |
transcript.pyannote[1795].speaker |
SPEAKER_23 |
transcript.pyannote[1795].start |
11128.78971875 |
transcript.pyannote[1795].end |
11129.26221875 |
transcript.pyannote[1796].speaker |
SPEAKER_09 |
transcript.pyannote[1796].start |
11130.74721875 |
transcript.pyannote[1796].end |
11131.00034375 |
transcript.pyannote[1797].speaker |
SPEAKER_09 |
transcript.pyannote[1797].start |
11131.06784375 |
transcript.pyannote[1797].end |
11131.10159375 |
transcript.pyannote[1798].speaker |
SPEAKER_23 |
transcript.pyannote[1798].start |
11131.10159375 |
transcript.pyannote[1798].end |
11132.67096875 |
transcript.pyannote[1799].speaker |
SPEAKER_09 |
transcript.pyannote[1799].start |
11131.32096875 |
transcript.pyannote[1799].end |
11132.62034375 |
transcript.pyannote[1800].speaker |
SPEAKER_09 |
transcript.pyannote[1800].start |
11132.67096875 |
transcript.pyannote[1800].end |
11132.82284375 |
transcript.pyannote[1801].speaker |
SPEAKER_23 |
transcript.pyannote[1801].start |
11132.82284375 |
transcript.pyannote[1801].end |
11132.90721875 |
transcript.pyannote[1802].speaker |
SPEAKER_09 |
transcript.pyannote[1802].start |
11132.90721875 |
transcript.pyannote[1802].end |
11132.95784375 |
transcript.pyannote[1803].speaker |
SPEAKER_23 |
transcript.pyannote[1803].start |
11132.95784375 |
transcript.pyannote[1803].end |
11138.39159375 |
transcript.pyannote[1804].speaker |
SPEAKER_09 |
transcript.pyannote[1804].start |
11133.04221875 |
transcript.pyannote[1804].end |
11134.62846875 |
transcript.pyannote[1805].speaker |
SPEAKER_23 |
transcript.pyannote[1805].start |
11138.77971875 |
transcript.pyannote[1805].end |
11139.82596875 |
transcript.pyannote[1806].speaker |
SPEAKER_23 |
transcript.pyannote[1806].start |
11141.42909375 |
transcript.pyannote[1806].end |
11141.95221875 |
transcript.pyannote[1807].speaker |
SPEAKER_23 |
transcript.pyannote[1807].start |
11142.72846875 |
transcript.pyannote[1807].end |
11143.52159375 |
transcript.pyannote[1808].speaker |
SPEAKER_23 |
transcript.pyannote[1808].start |
11144.85471875 |
transcript.pyannote[1808].end |
11151.53721875 |
transcript.pyannote[1809].speaker |
SPEAKER_23 |
transcript.pyannote[1809].start |
11153.32596875 |
transcript.pyannote[1809].end |
11153.61284375 |
transcript.pyannote[1810].speaker |
SPEAKER_23 |
transcript.pyannote[1810].start |
11154.10221875 |
transcript.pyannote[1810].end |
11155.84034375 |
transcript.pyannote[1811].speaker |
SPEAKER_23 |
transcript.pyannote[1811].start |
11155.94159375 |
transcript.pyannote[1811].end |
11156.75159375 |
transcript.pyannote[1812].speaker |
SPEAKER_23 |
transcript.pyannote[1812].start |
11156.95409375 |
transcript.pyannote[1812].end |
11157.83159375 |
transcript.pyannote[1813].speaker |
SPEAKER_23 |
transcript.pyannote[1813].start |
11158.48971875 |
transcript.pyannote[1813].end |
11161.07159375 |
transcript.pyannote[1814].speaker |
SPEAKER_23 |
transcript.pyannote[1814].start |
11161.51034375 |
transcript.pyannote[1814].end |
11164.85159375 |
transcript.pyannote[1815].speaker |
SPEAKER_23 |
transcript.pyannote[1815].start |
11166.01596875 |
transcript.pyannote[1815].end |
11168.07471875 |
transcript.pyannote[1816].speaker |
SPEAKER_23 |
transcript.pyannote[1816].start |
11169.62721875 |
transcript.pyannote[1816].end |
11174.84159375 |
transcript.pyannote[1817].speaker |
SPEAKER_23 |
transcript.pyannote[1817].start |
11175.24659375 |
transcript.pyannote[1817].end |
11176.93409375 |
transcript.pyannote[1818].speaker |
SPEAKER_23 |
transcript.pyannote[1818].start |
11177.91284375 |
transcript.pyannote[1818].end |
11178.70596875 |
transcript.pyannote[1819].speaker |
SPEAKER_23 |
transcript.pyannote[1819].start |
11179.44846875 |
transcript.pyannote[1819].end |
11181.15284375 |
transcript.pyannote[1820].speaker |
SPEAKER_23 |
transcript.pyannote[1820].start |
11182.63784375 |
transcript.pyannote[1820].end |
11183.43096875 |
transcript.pyannote[1821].speaker |
SPEAKER_23 |
transcript.pyannote[1821].start |
11183.73471875 |
transcript.pyannote[1821].end |
11184.78096875 |
transcript.pyannote[1822].speaker |
SPEAKER_23 |
transcript.pyannote[1822].start |
11185.25346875 |
transcript.pyannote[1822].end |
11185.82721875 |
transcript.pyannote[1823].speaker |
SPEAKER_23 |
transcript.pyannote[1823].start |
11186.70471875 |
transcript.pyannote[1823].end |
11188.25721875 |
transcript.pyannote[1824].speaker |
SPEAKER_23 |
transcript.pyannote[1824].start |
11188.84784375 |
transcript.pyannote[1824].end |
11191.10909375 |
transcript.pyannote[1825].speaker |
SPEAKER_23 |
transcript.pyannote[1825].start |
11192.52659375 |
transcript.pyannote[1825].end |
11195.26034375 |
transcript.pyannote[1826].speaker |
SPEAKER_23 |
transcript.pyannote[1826].start |
11195.54721875 |
transcript.pyannote[1826].end |
11197.35284375 |
transcript.pyannote[1827].speaker |
SPEAKER_23 |
transcript.pyannote[1827].start |
11197.75784375 |
transcript.pyannote[1827].end |
11198.11221875 |
transcript.pyannote[1828].speaker |
SPEAKER_23 |
transcript.pyannote[1828].start |
11198.34846875 |
transcript.pyannote[1828].end |
11200.15409375 |
transcript.pyannote[1829].speaker |
SPEAKER_23 |
transcript.pyannote[1829].start |
11200.22159375 |
transcript.pyannote[1829].end |
11201.25096875 |
transcript.pyannote[1830].speaker |
SPEAKER_23 |
transcript.pyannote[1830].start |
11203.15784375 |
transcript.pyannote[1830].end |
11205.03096875 |
transcript.pyannote[1831].speaker |
SPEAKER_23 |
transcript.pyannote[1831].start |
11205.45284375 |
transcript.pyannote[1831].end |
11210.07659375 |
transcript.pyannote[1832].speaker |
SPEAKER_23 |
transcript.pyannote[1832].start |
11211.20721875 |
transcript.pyannote[1832].end |
11213.40096875 |
transcript.pyannote[1833].speaker |
SPEAKER_23 |
transcript.pyannote[1833].start |
11214.26159375 |
transcript.pyannote[1833].end |
11218.02471875 |
transcript.pyannote[1834].speaker |
SPEAKER_23 |
transcript.pyannote[1834].start |
11218.41284375 |
transcript.pyannote[1834].end |
11218.98659375 |
transcript.pyannote[1835].speaker |
SPEAKER_23 |
transcript.pyannote[1835].start |
11219.56034375 |
transcript.pyannote[1835].end |
11220.60659375 |
transcript.pyannote[1836].speaker |
SPEAKER_23 |
transcript.pyannote[1836].start |
11221.66971875 |
transcript.pyannote[1836].end |
11222.26034375 |
transcript.pyannote[1837].speaker |
SPEAKER_23 |
transcript.pyannote[1837].start |
11223.39096875 |
transcript.pyannote[1837].end |
11225.34846875 |
transcript.pyannote[1838].speaker |
SPEAKER_23 |
transcript.pyannote[1838].start |
11226.15846875 |
transcript.pyannote[1838].end |
11234.03909375 |
transcript.pyannote[1839].speaker |
SPEAKER_23 |
transcript.pyannote[1839].start |
11234.34284375 |
transcript.pyannote[1839].end |
11235.52409375 |
transcript.pyannote[1840].speaker |
SPEAKER_23 |
transcript.pyannote[1840].start |
11235.79409375 |
transcript.pyannote[1840].end |
11238.34221875 |
transcript.pyannote[1841].speaker |
SPEAKER_23 |
transcript.pyannote[1841].start |
11239.16909375 |
transcript.pyannote[1841].end |
11240.58659375 |
transcript.pyannote[1842].speaker |
SPEAKER_23 |
transcript.pyannote[1842].start |
11241.44721875 |
transcript.pyannote[1842].end |
11243.99534375 |
transcript.pyannote[1843].speaker |
SPEAKER_23 |
transcript.pyannote[1843].start |
11244.72096875 |
transcript.pyannote[1843].end |
11258.30534375 |
transcript.pyannote[1844].speaker |
SPEAKER_23 |
transcript.pyannote[1844].start |
11259.16596875 |
transcript.pyannote[1844].end |
11262.23721875 |
transcript.pyannote[1845].speaker |
SPEAKER_23 |
transcript.pyannote[1845].start |
11264.36346875 |
transcript.pyannote[1845].end |
11266.25346875 |
transcript.pyannote[1846].speaker |
SPEAKER_23 |
transcript.pyannote[1846].start |
11266.72596875 |
transcript.pyannote[1846].end |
11271.36659375 |
transcript.pyannote[1847].speaker |
SPEAKER_23 |
transcript.pyannote[1847].start |
11272.29471875 |
transcript.pyannote[1847].end |
11273.20596875 |
transcript.pyannote[1848].speaker |
SPEAKER_23 |
transcript.pyannote[1848].start |
11273.96534375 |
transcript.pyannote[1848].end |
11274.53909375 |
transcript.pyannote[1849].speaker |
SPEAKER_23 |
transcript.pyannote[1849].start |
11276.04096875 |
transcript.pyannote[1849].end |
11276.47971875 |
transcript.pyannote[1850].speaker |
SPEAKER_23 |
transcript.pyannote[1850].start |
11277.22221875 |
transcript.pyannote[1850].end |
11284.07346875 |
transcript.pyannote[1851].speaker |
SPEAKER_23 |
transcript.pyannote[1851].start |
11284.63034375 |
transcript.pyannote[1851].end |
11285.65971875 |
transcript.pyannote[1852].speaker |
SPEAKER_23 |
transcript.pyannote[1852].start |
11286.77346875 |
transcript.pyannote[1852].end |
11289.52409375 |
transcript.pyannote[1853].speaker |
SPEAKER_23 |
transcript.pyannote[1853].start |
11289.81096875 |
transcript.pyannote[1853].end |
11296.78034375 |
transcript.pyannote[1854].speaker |
SPEAKER_23 |
transcript.pyannote[1854].start |
11297.65784375 |
transcript.pyannote[1854].end |
11298.92346875 |
transcript.pyannote[1855].speaker |
SPEAKER_23 |
transcript.pyannote[1855].start |
11299.83471875 |
transcript.pyannote[1855].end |
11307.15846875 |
transcript.pyannote[1856].speaker |
SPEAKER_23 |
transcript.pyannote[1856].start |
11308.23846875 |
transcript.pyannote[1856].end |
11310.83721875 |
transcript.pyannote[1857].speaker |
SPEAKER_23 |
transcript.pyannote[1857].start |
11311.51221875 |
transcript.pyannote[1857].end |
11313.70596875 |
transcript.pyannote[1858].speaker |
SPEAKER_23 |
transcript.pyannote[1858].start |
11314.61721875 |
transcript.pyannote[1858].end |
11316.76034375 |
transcript.pyannote[1859].speaker |
SPEAKER_23 |
transcript.pyannote[1859].start |
11317.62096875 |
transcript.pyannote[1859].end |
11321.45159375 |
transcript.pyannote[1860].speaker |
SPEAKER_23 |
transcript.pyannote[1860].start |
11322.97034375 |
transcript.pyannote[1860].end |
11324.70846875 |
transcript.pyannote[1861].speaker |
SPEAKER_23 |
transcript.pyannote[1861].start |
11325.51846875 |
transcript.pyannote[1861].end |
11326.02471875 |
transcript.pyannote[1862].speaker |
SPEAKER_23 |
transcript.pyannote[1862].start |
11326.85159375 |
transcript.pyannote[1862].end |
11335.06971875 |
transcript.pyannote[1863].speaker |
SPEAKER_23 |
transcript.pyannote[1863].start |
11336.23409375 |
transcript.pyannote[1863].end |
11338.95096875 |
transcript.pyannote[1864].speaker |
SPEAKER_23 |
transcript.pyannote[1864].start |
11339.35596875 |
transcript.pyannote[1864].end |
11340.26721875 |
transcript.pyannote[1865].speaker |
SPEAKER_23 |
transcript.pyannote[1865].start |
11341.29659375 |
transcript.pyannote[1865].end |
11343.49034375 |
transcript.pyannote[1866].speaker |
SPEAKER_23 |
transcript.pyannote[1866].start |
11343.77721875 |
transcript.pyannote[1866].end |
11345.21159375 |
transcript.pyannote[1867].speaker |
SPEAKER_23 |
transcript.pyannote[1867].start |
11346.34221875 |
transcript.pyannote[1867].end |
11347.03409375 |
transcript.pyannote[1868].speaker |
SPEAKER_23 |
transcript.pyannote[1868].start |
11347.62471875 |
transcript.pyannote[1868].end |
11348.58659375 |
transcript.pyannote[1869].speaker |
SPEAKER_23 |
transcript.pyannote[1869].start |
11349.16034375 |
transcript.pyannote[1869].end |
11351.79284375 |
transcript.pyannote[1870].speaker |
SPEAKER_23 |
transcript.pyannote[1870].start |
11352.16409375 |
transcript.pyannote[1870].end |
11353.64909375 |
transcript.pyannote[1871].speaker |
SPEAKER_23 |
transcript.pyannote[1871].start |
11354.89784375 |
transcript.pyannote[1871].end |
11355.52221875 |
transcript.pyannote[1872].speaker |
SPEAKER_23 |
transcript.pyannote[1872].start |
11356.38284375 |
transcript.pyannote[1872].end |
11356.97346875 |
transcript.pyannote[1873].speaker |
SPEAKER_23 |
transcript.pyannote[1873].start |
11358.45846875 |
transcript.pyannote[1873].end |
11361.88409375 |
transcript.pyannote[1874].speaker |
SPEAKER_23 |
transcript.pyannote[1874].start |
11362.87971875 |
transcript.pyannote[1874].end |
11363.55471875 |
transcript.pyannote[1875].speaker |
SPEAKER_23 |
transcript.pyannote[1875].start |
11364.38159375 |
transcript.pyannote[1875].end |
11366.69346875 |
transcript.pyannote[1876].speaker |
SPEAKER_23 |
transcript.pyannote[1876].start |
11366.96346875 |
transcript.pyannote[1876].end |
11372.19471875 |
transcript.pyannote[1877].speaker |
SPEAKER_23 |
transcript.pyannote[1877].start |
11373.00471875 |
transcript.pyannote[1877].end |
11375.06346875 |
transcript.pyannote[1878].speaker |
SPEAKER_23 |
transcript.pyannote[1878].start |
11375.94096875 |
transcript.pyannote[1878].end |
11381.30721875 |
transcript.pyannote[1879].speaker |
SPEAKER_23 |
transcript.pyannote[1879].start |
11382.67409375 |
transcript.pyannote[1879].end |
11384.34471875 |
transcript.pyannote[1880].speaker |
SPEAKER_23 |
transcript.pyannote[1880].start |
11386.03221875 |
transcript.pyannote[1880].end |
11388.02346875 |
transcript.pyannote[1881].speaker |
SPEAKER_23 |
transcript.pyannote[1881].start |
11389.05284375 |
transcript.pyannote[1881].end |
11390.62221875 |
transcript.pyannote[1882].speaker |
SPEAKER_23 |
transcript.pyannote[1882].start |
11391.01034375 |
transcript.pyannote[1882].end |
11391.24659375 |
transcript.pyannote[1883].speaker |
SPEAKER_23 |
transcript.pyannote[1883].start |
11392.59659375 |
transcript.pyannote[1883].end |
11394.38534375 |
transcript.pyannote[1884].speaker |
SPEAKER_23 |
transcript.pyannote[1884].start |
11394.73971875 |
transcript.pyannote[1884].end |
11397.84471875 |
transcript.pyannote[1885].speaker |
SPEAKER_23 |
transcript.pyannote[1885].start |
11398.13159375 |
transcript.pyannote[1885].end |
11399.09346875 |
transcript.pyannote[1886].speaker |
SPEAKER_23 |
transcript.pyannote[1886].start |
11400.89909375 |
transcript.pyannote[1886].end |
11402.68784375 |
transcript.pyannote[1887].speaker |
SPEAKER_23 |
transcript.pyannote[1887].start |
11403.49784375 |
transcript.pyannote[1887].end |
11403.85221875 |
transcript.pyannote[1888].speaker |
SPEAKER_23 |
transcript.pyannote[1888].start |
11404.89846875 |
transcript.pyannote[1888].end |
11411.56409375 |
transcript.pyannote[1889].speaker |
SPEAKER_23 |
transcript.pyannote[1889].start |
11412.05346875 |
transcript.pyannote[1889].end |
11413.09971875 |
transcript.pyannote[1890].speaker |
SPEAKER_23 |
transcript.pyannote[1890].start |
11414.17971875 |
transcript.pyannote[1890].end |
11415.86721875 |
transcript.pyannote[1891].speaker |
SPEAKER_23 |
transcript.pyannote[1891].start |
11417.03159375 |
transcript.pyannote[1891].end |
11419.96784375 |
transcript.pyannote[1892].speaker |
SPEAKER_23 |
transcript.pyannote[1892].start |
11420.62596875 |
transcript.pyannote[1892].end |
11422.98846875 |
transcript.pyannote[1893].speaker |
SPEAKER_23 |
transcript.pyannote[1893].start |
11424.28784375 |
transcript.pyannote[1893].end |
11424.91221875 |
transcript.pyannote[1894].speaker |
SPEAKER_23 |
transcript.pyannote[1894].start |
11425.43534375 |
transcript.pyannote[1894].end |
11426.41409375 |
transcript.pyannote[1895].speaker |
SPEAKER_23 |
transcript.pyannote[1895].start |
11427.35909375 |
transcript.pyannote[1895].end |
11428.54034375 |
transcript.pyannote[1896].speaker |
SPEAKER_23 |
transcript.pyannote[1896].start |
11429.62034375 |
transcript.pyannote[1896].end |
11429.99159375 |
transcript.pyannote[1897].speaker |
SPEAKER_23 |
transcript.pyannote[1897].start |
11430.37971875 |
transcript.pyannote[1897].end |
11436.99471875 |
transcript.pyannote[1898].speaker |
SPEAKER_23 |
transcript.pyannote[1898].start |
11438.91846875 |
transcript.pyannote[1898].end |
11439.98159375 |
transcript.pyannote[1899].speaker |
SPEAKER_23 |
transcript.pyannote[1899].start |
11440.33596875 |
transcript.pyannote[1899].end |
11441.16284375 |
transcript.pyannote[1900].speaker |
SPEAKER_23 |
transcript.pyannote[1900].start |
11442.17534375 |
transcript.pyannote[1900].end |
11443.54221875 |
transcript.pyannote[1901].speaker |
SPEAKER_23 |
transcript.pyannote[1901].start |
11443.98096875 |
transcript.pyannote[1901].end |
11445.12846875 |
transcript.pyannote[1902].speaker |
SPEAKER_23 |
transcript.pyannote[1902].start |
11446.73159375 |
transcript.pyannote[1902].end |
11447.50784375 |
transcript.pyannote[1903].speaker |
SPEAKER_23 |
transcript.pyannote[1903].start |
11449.60034375 |
transcript.pyannote[1903].end |
11451.27096875 |
transcript.pyannote[1904].speaker |
SPEAKER_07 |
transcript.pyannote[1904].start |
11450.56221875 |
transcript.pyannote[1904].end |
11450.86596875 |
transcript.pyannote[1905].speaker |
SPEAKER_23 |
transcript.pyannote[1905].start |
11452.55346875 |
transcript.pyannote[1905].end |
11453.07659375 |
transcript.pyannote[1906].speaker |
SPEAKER_23 |
transcript.pyannote[1906].start |
11453.21159375 |
transcript.pyannote[1906].end |
11453.56596875 |
transcript.pyannote[1907].speaker |
SPEAKER_23 |
transcript.pyannote[1907].start |
11454.13971875 |
transcript.pyannote[1907].end |
11455.21971875 |
transcript.pyannote[1908].speaker |
SPEAKER_23 |
transcript.pyannote[1908].start |
11456.24909375 |
transcript.pyannote[1908].end |
11457.88596875 |
transcript.pyannote[1909].speaker |
SPEAKER_23 |
transcript.pyannote[1909].start |
11460.45096875 |
transcript.pyannote[1909].end |
11461.22721875 |
transcript.pyannote[1910].speaker |
SPEAKER_23 |
transcript.pyannote[1910].start |
11461.78409375 |
transcript.pyannote[1910].end |
11464.75409375 |
transcript.pyannote[1911].speaker |
SPEAKER_23 |
transcript.pyannote[1911].start |
11465.42909375 |
transcript.pyannote[1911].end |
11467.03221875 |
transcript.pyannote[1912].speaker |
SPEAKER_23 |
transcript.pyannote[1912].start |
11467.38659375 |
transcript.pyannote[1912].end |
11469.90096875 |
transcript.pyannote[1913].speaker |
SPEAKER_23 |
transcript.pyannote[1913].start |
11472.22971875 |
transcript.pyannote[1913].end |
11476.22909375 |
transcript.pyannote[1914].speaker |
SPEAKER_23 |
transcript.pyannote[1914].start |
11476.44846875 |
transcript.pyannote[1914].end |
11483.87346875 |
transcript.pyannote[1915].speaker |
SPEAKER_23 |
transcript.pyannote[1915].start |
11485.07159375 |
transcript.pyannote[1915].end |
11487.53534375 |
transcript.pyannote[1916].speaker |
SPEAKER_23 |
transcript.pyannote[1916].start |
11488.56471875 |
transcript.pyannote[1916].end |
11489.84721875 |
transcript.pyannote[1917].speaker |
SPEAKER_23 |
transcript.pyannote[1917].start |
11490.33659375 |
transcript.pyannote[1917].end |
11493.25596875 |
transcript.pyannote[1918].speaker |
SPEAKER_23 |
transcript.pyannote[1918].start |
11494.31909375 |
transcript.pyannote[1918].end |
11494.75784375 |
transcript.pyannote[1919].speaker |
SPEAKER_23 |
transcript.pyannote[1919].start |
11495.36534375 |
transcript.pyannote[1919].end |
11499.01034375 |
transcript.pyannote[1920].speaker |
SPEAKER_23 |
transcript.pyannote[1920].start |
11499.48284375 |
transcript.pyannote[1920].end |
11502.43596875 |
transcript.pyannote[1921].speaker |
SPEAKER_23 |
transcript.pyannote[1921].start |
11503.63409375 |
transcript.pyannote[1921].end |
11504.49471875 |
transcript.pyannote[1922].speaker |
SPEAKER_23 |
transcript.pyannote[1922].start |
11506.38471875 |
transcript.pyannote[1922].end |
11507.31284375 |
transcript.pyannote[1923].speaker |
SPEAKER_23 |
transcript.pyannote[1923].start |
11508.13971875 |
transcript.pyannote[1923].end |
11509.57409375 |
transcript.pyannote[1924].speaker |
SPEAKER_23 |
transcript.pyannote[1924].start |
11509.96221875 |
transcript.pyannote[1924].end |
11511.22784375 |
transcript.pyannote[1925].speaker |
SPEAKER_23 |
transcript.pyannote[1925].start |
11511.43034375 |
transcript.pyannote[1925].end |
11513.97846875 |
transcript.pyannote[1926].speaker |
SPEAKER_09 |
transcript.pyannote[1926].start |
11513.97846875 |
transcript.pyannote[1926].end |
11521.90971875 |
transcript.pyannote[1927].speaker |
SPEAKER_23 |
transcript.pyannote[1927].start |
11521.90971875 |
transcript.pyannote[1927].end |
11530.65096875 |
transcript.pyannote[1928].speaker |
SPEAKER_23 |
transcript.pyannote[1928].start |
11531.69721875 |
transcript.pyannote[1928].end |
11534.70096875 |
transcript.pyannote[1929].speaker |
SPEAKER_23 |
transcript.pyannote[1929].start |
11537.63721875 |
transcript.pyannote[1929].end |
11538.27846875 |
transcript.pyannote[1930].speaker |
SPEAKER_23 |
transcript.pyannote[1930].start |
11538.66659375 |
transcript.pyannote[1930].end |
11539.89846875 |
transcript.pyannote[1931].speaker |
SPEAKER_23 |
transcript.pyannote[1931].start |
11539.96596875 |
transcript.pyannote[1931].end |
11540.05034375 |
transcript.pyannote[1932].speaker |
SPEAKER_23 |
transcript.pyannote[1932].start |
11540.08409375 |
transcript.pyannote[1932].end |
11552.38596875 |
transcript.pyannote[1933].speaker |
SPEAKER_23 |
transcript.pyannote[1933].start |
11553.11159375 |
transcript.pyannote[1933].end |
11554.41096875 |
transcript.pyannote[1934].speaker |
SPEAKER_23 |
transcript.pyannote[1934].start |
11555.44034375 |
transcript.pyannote[1934].end |
11556.73971875 |
transcript.pyannote[1935].speaker |
SPEAKER_23 |
transcript.pyannote[1935].start |
11557.63409375 |
transcript.pyannote[1935].end |
11560.16534375 |
transcript.pyannote[1936].speaker |
SPEAKER_23 |
transcript.pyannote[1936].start |
11560.75596875 |
transcript.pyannote[1936].end |
11561.21159375 |
transcript.pyannote[1937].speaker |
SPEAKER_23 |
transcript.pyannote[1937].start |
11562.25784375 |
transcript.pyannote[1937].end |
11566.30784375 |
transcript.pyannote[1938].speaker |
SPEAKER_23 |
transcript.pyannote[1938].start |
11567.01659375 |
transcript.pyannote[1938].end |
11569.93596875 |
transcript.pyannote[1939].speaker |
SPEAKER_23 |
transcript.pyannote[1939].start |
11569.95284375 |
transcript.pyannote[1939].end |
11569.96971875 |
transcript.pyannote[1940].speaker |
SPEAKER_23 |
transcript.pyannote[1940].start |
11570.18909375 |
transcript.pyannote[1940].end |
11571.37034375 |
transcript.pyannote[1941].speaker |
SPEAKER_23 |
transcript.pyannote[1941].start |
11571.91034375 |
transcript.pyannote[1941].end |
11573.58096875 |
transcript.pyannote[1942].speaker |
SPEAKER_23 |
transcript.pyannote[1942].start |
11574.67784375 |
transcript.pyannote[1942].end |
11576.90534375 |
transcript.pyannote[1943].speaker |
SPEAKER_23 |
transcript.pyannote[1943].start |
11577.49596875 |
transcript.pyannote[1943].end |
11580.92159375 |
transcript.pyannote[1944].speaker |
SPEAKER_23 |
transcript.pyannote[1944].start |
11581.74846875 |
transcript.pyannote[1944].end |
11584.34721875 |
transcript.pyannote[1945].speaker |
SPEAKER_23 |
transcript.pyannote[1945].start |
11586.64221875 |
transcript.pyannote[1945].end |
11588.70096875 |
transcript.pyannote[1946].speaker |
SPEAKER_23 |
transcript.pyannote[1946].start |
11589.27471875 |
transcript.pyannote[1946].end |
11589.57846875 |
transcript.pyannote[1947].speaker |
SPEAKER_23 |
transcript.pyannote[1947].start |
11589.64596875 |
transcript.pyannote[1947].end |
11590.33784375 |
transcript.pyannote[1948].speaker |
SPEAKER_23 |
transcript.pyannote[1948].start |
11590.75971875 |
transcript.pyannote[1948].end |
11592.09284375 |
transcript.pyannote[1949].speaker |
SPEAKER_23 |
transcript.pyannote[1949].start |
11592.19409375 |
transcript.pyannote[1949].end |
11593.17284375 |
transcript.pyannote[1950].speaker |
SPEAKER_23 |
transcript.pyannote[1950].start |
11594.47221875 |
transcript.pyannote[1950].end |
11595.19784375 |
transcript.pyannote[1951].speaker |
SPEAKER_23 |
transcript.pyannote[1951].start |
11595.63659375 |
transcript.pyannote[1951].end |
11599.80471875 |
transcript.pyannote[1952].speaker |
SPEAKER_23 |
transcript.pyannote[1952].start |
11600.24346875 |
transcript.pyannote[1952].end |
11601.05346875 |
transcript.pyannote[1953].speaker |
SPEAKER_23 |
transcript.pyannote[1953].start |
11601.44159375 |
transcript.pyannote[1953].end |
11602.65659375 |
transcript.pyannote[1954].speaker |
SPEAKER_23 |
transcript.pyannote[1954].start |
11603.70284375 |
transcript.pyannote[1954].end |
11606.03159375 |
transcript.pyannote[1955].speaker |
SPEAKER_23 |
transcript.pyannote[1955].start |
11606.11596875 |
transcript.pyannote[1955].end |
11607.63471875 |
transcript.pyannote[1956].speaker |
SPEAKER_23 |
transcript.pyannote[1956].start |
11609.45721875 |
transcript.pyannote[1956].end |
11610.21659375 |
transcript.pyannote[1957].speaker |
SPEAKER_23 |
transcript.pyannote[1957].start |
11610.82409375 |
transcript.pyannote[1957].end |
11611.31346875 |
transcript.pyannote[1958].speaker |
SPEAKER_23 |
transcript.pyannote[1958].start |
11612.22471875 |
transcript.pyannote[1958].end |
11641.65471875 |
transcript.pyannote[1959].speaker |
SPEAKER_03 |
transcript.pyannote[1959].start |
11642.54909375 |
transcript.pyannote[1959].end |
11642.81909375 |
transcript.pyannote[1960].speaker |
SPEAKER_23 |
transcript.pyannote[1960].start |
11642.81909375 |
transcript.pyannote[1960].end |
11642.97096875 |
transcript.pyannote[1961].speaker |
SPEAKER_03 |
transcript.pyannote[1961].start |
11642.97096875 |
transcript.pyannote[1961].end |
11680.60221875 |
transcript.pyannote[1962].speaker |
SPEAKER_23 |
transcript.pyannote[1962].start |
11679.99471875 |
transcript.pyannote[1962].end |
11684.09534375 |
transcript.pyannote[1963].speaker |
SPEAKER_23 |
transcript.pyannote[1963].start |
11684.95596875 |
transcript.pyannote[1963].end |
11715.22971875 |
transcript.pyannote[1964].speaker |
SPEAKER_23 |
transcript.pyannote[1964].start |
11715.92159375 |
transcript.pyannote[1964].end |
11723.78534375 |
transcript.pyannote[1965].speaker |
SPEAKER_23 |
transcript.pyannote[1965].start |
11724.15659375 |
transcript.pyannote[1965].end |
11725.16909375 |
transcript.pyannote[1966].speaker |
SPEAKER_23 |
transcript.pyannote[1966].start |
11725.79346875 |
transcript.pyannote[1966].end |
11727.36284375 |
transcript.pyannote[1967].speaker |
SPEAKER_23 |
transcript.pyannote[1967].start |
11727.63284375 |
transcript.pyannote[1967].end |
11741.87534375 |
transcript.pyannote[1968].speaker |
SPEAKER_23 |
transcript.pyannote[1968].start |
11742.49971875 |
transcript.pyannote[1968].end |
11757.21471875 |
transcript.pyannote[1969].speaker |
SPEAKER_23 |
transcript.pyannote[1969].start |
11758.19346875 |
transcript.pyannote[1969].end |
11766.58034375 |
transcript.pyannote[1970].speaker |
SPEAKER_23 |
transcript.pyannote[1970].start |
11766.78284375 |
transcript.pyannote[1970].end |
11770.14096875 |
transcript.pyannote[1971].speaker |
SPEAKER_23 |
transcript.pyannote[1971].start |
11770.69784375 |
transcript.pyannote[1971].end |
11771.77784375 |
transcript.pyannote[1972].speaker |
SPEAKER_23 |
transcript.pyannote[1972].start |
11772.08159375 |
transcript.pyannote[1972].end |
11772.90846875 |
transcript.pyannote[1973].speaker |
SPEAKER_23 |
transcript.pyannote[1973].start |
11774.47784375 |
transcript.pyannote[1973].end |
11778.54471875 |
transcript.pyannote[1974].speaker |
SPEAKER_23 |
transcript.pyannote[1974].start |
11779.64159375 |
transcript.pyannote[1974].end |
11782.79721875 |
transcript.pyannote[1975].speaker |
SPEAKER_23 |
transcript.pyannote[1975].start |
11783.35409375 |
transcript.pyannote[1975].end |
11788.61909375 |
transcript.pyannote[1976].speaker |
SPEAKER_23 |
transcript.pyannote[1976].start |
11789.20971875 |
transcript.pyannote[1976].end |
11791.99409375 |
transcript.pyannote[1977].speaker |
SPEAKER_23 |
transcript.pyannote[1977].start |
11792.11221875 |
transcript.pyannote[1977].end |
11805.13971875 |
transcript.pyannote[1978].speaker |
SPEAKER_23 |
transcript.pyannote[1978].start |
11805.46034375 |
transcript.pyannote[1978].end |
11820.19221875 |
transcript.pyannote[1979].speaker |
SPEAKER_23 |
transcript.pyannote[1979].start |
11820.37784375 |
transcript.pyannote[1979].end |
11827.04346875 |
transcript.pyannote[1980].speaker |
SPEAKER_23 |
transcript.pyannote[1980].start |
11827.48221875 |
transcript.pyannote[1980].end |
11840.35784375 |
transcript.pyannote[1981].speaker |
SPEAKER_23 |
transcript.pyannote[1981].start |
11841.35346875 |
transcript.pyannote[1981].end |
11841.97784375 |
transcript.pyannote[1982].speaker |
SPEAKER_03 |
transcript.pyannote[1982].start |
11841.97784375 |
transcript.pyannote[1982].end |
11843.41221875 |
transcript.pyannote[1983].speaker |
SPEAKER_03 |
transcript.pyannote[1983].start |
11843.53034375 |
transcript.pyannote[1983].end |
11843.91846875 |
transcript.pyannote[1984].speaker |
SPEAKER_03 |
transcript.pyannote[1984].start |
11844.18846875 |
transcript.pyannote[1984].end |
11845.08284375 |
transcript.pyannote[1985].speaker |
SPEAKER_10 |
transcript.pyannote[1985].start |
11845.08284375 |
transcript.pyannote[1985].end |
11845.21784375 |
transcript.pyannote[1986].speaker |
SPEAKER_03 |
transcript.pyannote[1986].start |
11845.21784375 |
transcript.pyannote[1986].end |
11845.25159375 |
transcript.pyannote[1987].speaker |
SPEAKER_10 |
transcript.pyannote[1987].start |
11847.42846875 |
transcript.pyannote[1987].end |
11850.53346875 |
transcript.pyannote[1988].speaker |
SPEAKER_22 |
transcript.pyannote[1988].start |
11860.59096875 |
transcript.pyannote[1988].end |
11864.13471875 |
transcript.pyannote[1989].speaker |
SPEAKER_10 |
transcript.pyannote[1989].start |
11864.52284375 |
transcript.pyannote[1989].end |
11865.48471875 |
transcript.pyannote[1990].speaker |
SPEAKER_22 |
transcript.pyannote[1990].start |
11870.98596875 |
transcript.pyannote[1990].end |
11875.72784375 |
transcript.pyannote[1991].speaker |
SPEAKER_22 |
transcript.pyannote[1991].start |
11876.33534375 |
transcript.pyannote[1991].end |
11879.35596875 |
transcript.pyannote[1992].speaker |
SPEAKER_22 |
transcript.pyannote[1992].start |
11879.84534375 |
transcript.pyannote[1992].end |
11881.14471875 |
transcript.pyannote[1993].speaker |
SPEAKER_22 |
transcript.pyannote[1993].start |
11881.51596875 |
transcript.pyannote[1993].end |
11886.84846875 |
transcript.pyannote[1994].speaker |
SPEAKER_22 |
transcript.pyannote[1994].start |
11887.33784375 |
transcript.pyannote[1994].end |
11889.90284375 |
transcript.pyannote[1995].speaker |
SPEAKER_22 |
transcript.pyannote[1995].start |
11890.56096875 |
transcript.pyannote[1995].end |
11893.02471875 |
transcript.pyannote[1996].speaker |
SPEAKER_22 |
transcript.pyannote[1996].start |
11893.14284375 |
transcript.pyannote[1996].end |
11896.56846875 |
transcript.pyannote[1997].speaker |
SPEAKER_22 |
transcript.pyannote[1997].start |
11897.41221875 |
transcript.pyannote[1997].end |
11900.46659375 |
transcript.pyannote[1998].speaker |
SPEAKER_22 |
transcript.pyannote[1998].start |
11900.88846875 |
transcript.pyannote[1998].end |
11902.08659375 |
transcript.pyannote[1999].speaker |
SPEAKER_22 |
transcript.pyannote[1999].start |
11902.91346875 |
transcript.pyannote[1999].end |
11904.51659375 |
transcript.pyannote[2000].speaker |
SPEAKER_09 |
transcript.pyannote[2000].start |
11906.28846875 |
transcript.pyannote[2000].end |
11979.98159375 |
transcript.pyannote[2001].speaker |
SPEAKER_22 |
transcript.pyannote[2001].start |
11977.21409375 |
transcript.pyannote[2001].end |
11977.36596875 |
transcript.pyannote[2002].speaker |
SPEAKER_22 |
transcript.pyannote[2002].start |
11979.12096875 |
transcript.pyannote[2002].end |
11980.08284375 |
transcript.pyannote[2003].speaker |
SPEAKER_09 |
transcript.pyannote[2003].start |
11980.08284375 |
transcript.pyannote[2003].end |
11982.02346875 |
transcript.pyannote[2004].speaker |
SPEAKER_09 |
transcript.pyannote[2004].start |
11982.37784375 |
transcript.pyannote[2004].end |
11982.52971875 |
transcript.pyannote[2005].speaker |
SPEAKER_22 |
transcript.pyannote[2005].start |
11982.52971875 |
transcript.pyannote[2005].end |
11982.54659375 |
transcript.pyannote[2006].speaker |
SPEAKER_09 |
transcript.pyannote[2006].start |
11982.54659375 |
transcript.pyannote[2006].end |
11982.59721875 |
transcript.pyannote[2007].speaker |
SPEAKER_22 |
transcript.pyannote[2007].start |
11982.59721875 |
transcript.pyannote[2007].end |
11982.63096875 |
transcript.pyannote[2008].speaker |
SPEAKER_22 |
transcript.pyannote[2008].start |
11983.05284375 |
transcript.pyannote[2008].end |
11995.10159375 |
transcript.pyannote[2009].speaker |
SPEAKER_22 |
transcript.pyannote[2009].start |
11995.64159375 |
transcript.pyannote[2009].end |
11997.88596875 |
transcript.pyannote[2010].speaker |
SPEAKER_22 |
transcript.pyannote[2010].start |
11998.56096875 |
transcript.pyannote[2010].end |
12013.81596875 |
transcript.pyannote[2011].speaker |
SPEAKER_22 |
transcript.pyannote[2011].start |
12014.74409375 |
transcript.pyannote[2011].end |
12015.55409375 |
transcript.pyannote[2012].speaker |
SPEAKER_22 |
transcript.pyannote[2012].start |
12016.43159375 |
transcript.pyannote[2012].end |
12018.30471875 |
transcript.pyannote[2013].speaker |
SPEAKER_22 |
transcript.pyannote[2013].start |
12018.65909375 |
transcript.pyannote[2013].end |
12019.80659375 |
transcript.pyannote[2014].speaker |
SPEAKER_22 |
transcript.pyannote[2014].start |
12019.89096875 |
transcript.pyannote[2014].end |
12023.43471875 |
transcript.pyannote[2015].speaker |
SPEAKER_22 |
transcript.pyannote[2015].start |
12024.05909375 |
transcript.pyannote[2015].end |
12030.28596875 |
transcript.pyannote[2016].speaker |
SPEAKER_22 |
transcript.pyannote[2016].start |
12030.94409375 |
transcript.pyannote[2016].end |
12031.56846875 |
transcript.pyannote[2017].speaker |
SPEAKER_22 |
transcript.pyannote[2017].start |
12031.95659375 |
transcript.pyannote[2017].end |
12034.53846875 |
transcript.pyannote[2018].speaker |
SPEAKER_22 |
transcript.pyannote[2018].start |
12035.14596875 |
transcript.pyannote[2018].end |
12036.85034375 |
transcript.pyannote[2019].speaker |
SPEAKER_22 |
transcript.pyannote[2019].start |
12036.96846875 |
transcript.pyannote[2019].end |
12039.41534375 |
transcript.pyannote[2020].speaker |
SPEAKER_22 |
transcript.pyannote[2020].start |
12040.74846875 |
transcript.pyannote[2020].end |
12043.65096875 |
transcript.pyannote[2021].speaker |
SPEAKER_22 |
transcript.pyannote[2021].start |
12044.20784375 |
transcript.pyannote[2021].end |
12047.31284375 |
transcript.pyannote[2022].speaker |
SPEAKER_22 |
transcript.pyannote[2022].start |
12048.59534375 |
transcript.pyannote[2022].end |
12053.75909375 |
transcript.pyannote[2023].speaker |
SPEAKER_22 |
transcript.pyannote[2023].start |
12054.11346875 |
transcript.pyannote[2023].end |
12055.86846875 |
transcript.pyannote[2024].speaker |
SPEAKER_09 |
transcript.pyannote[2024].start |
12057.25221875 |
transcript.pyannote[2024].end |
12120.70221875 |
transcript.pyannote[2025].speaker |
SPEAKER_22 |
transcript.pyannote[2025].start |
12119.47034375 |
transcript.pyannote[2025].end |
12126.00096875 |
transcript.pyannote[2026].speaker |
SPEAKER_09 |
transcript.pyannote[2026].start |
12122.47409375 |
transcript.pyannote[2026].end |
12123.31784375 |
transcript.pyannote[2027].speaker |
SPEAKER_26 |
transcript.pyannote[2027].start |
12126.16971875 |
transcript.pyannote[2027].end |
12126.38909375 |
transcript.pyannote[2028].speaker |
SPEAKER_22 |
transcript.pyannote[2028].start |
12126.27096875 |
transcript.pyannote[2028].end |
12131.14784375 |
transcript.pyannote[2029].speaker |
SPEAKER_09 |
transcript.pyannote[2029].start |
12127.62096875 |
transcript.pyannote[2029].end |
12127.63784375 |
transcript.pyannote[2030].speaker |
SPEAKER_26 |
transcript.pyannote[2030].start |
12127.63784375 |
transcript.pyannote[2030].end |
12127.95846875 |
transcript.pyannote[2031].speaker |
SPEAKER_22 |
transcript.pyannote[2031].start |
12131.67096875 |
transcript.pyannote[2031].end |
12136.07534375 |
transcript.pyannote[2032].speaker |
SPEAKER_22 |
transcript.pyannote[2032].start |
12136.37909375 |
transcript.pyannote[2032].end |
12137.72909375 |
transcript.pyannote[2033].speaker |
SPEAKER_22 |
transcript.pyannote[2033].start |
12138.31971875 |
transcript.pyannote[2033].end |
12139.21409375 |
transcript.pyannote[2034].speaker |
SPEAKER_09 |
transcript.pyannote[2034].start |
12140.09159375 |
transcript.pyannote[2034].end |
12143.58471875 |
transcript.pyannote[2035].speaker |
SPEAKER_22 |
transcript.pyannote[2035].start |
12143.66909375 |
transcript.pyannote[2035].end |
12145.30596875 |
transcript.pyannote[2036].speaker |
SPEAKER_09 |
transcript.pyannote[2036].start |
12144.68159375 |
transcript.pyannote[2036].end |
12150.84096875 |
transcript.pyannote[2037].speaker |
SPEAKER_22 |
transcript.pyannote[2037].start |
12145.33971875 |
transcript.pyannote[2037].end |
12146.36909375 |
transcript.pyannote[2038].speaker |
SPEAKER_22 |
transcript.pyannote[2038].start |
12150.72284375 |
transcript.pyannote[2038].end |
12156.12284375 |
transcript.pyannote[2039].speaker |
SPEAKER_09 |
transcript.pyannote[2039].start |
12154.19909375 |
transcript.pyannote[2039].end |
12156.03846875 |
transcript.pyannote[2040].speaker |
SPEAKER_06 |
transcript.pyannote[2040].start |
12156.03846875 |
transcript.pyannote[2040].end |
12156.07221875 |
transcript.pyannote[2041].speaker |
SPEAKER_06 |
transcript.pyannote[2041].start |
12156.12284375 |
transcript.pyannote[2041].end |
12156.29159375 |
transcript.pyannote[2042].speaker |
SPEAKER_22 |
transcript.pyannote[2042].start |
12156.29159375 |
transcript.pyannote[2042].end |
12156.30846875 |
transcript.pyannote[2043].speaker |
SPEAKER_06 |
transcript.pyannote[2043].start |
12156.30846875 |
transcript.pyannote[2043].end |
12156.37596875 |
transcript.pyannote[2044].speaker |
SPEAKER_22 |
transcript.pyannote[2044].start |
12156.37596875 |
transcript.pyannote[2044].end |
12167.71596875 |
transcript.pyannote[2045].speaker |
SPEAKER_22 |
transcript.pyannote[2045].start |
12168.00284375 |
transcript.pyannote[2045].end |
12170.29784375 |
transcript.pyannote[2046].speaker |
SPEAKER_09 |
transcript.pyannote[2046].start |
12171.64784375 |
transcript.pyannote[2046].end |
12180.84471875 |
transcript.pyannote[2047].speaker |
SPEAKER_22 |
transcript.pyannote[2047].start |
12178.95471875 |
transcript.pyannote[2047].end |
12181.77284375 |
transcript.pyannote[2048].speaker |
SPEAKER_09 |
transcript.pyannote[2048].start |
12181.89096875 |
transcript.pyannote[2048].end |
12185.09721875 |
transcript.pyannote[2049].speaker |
SPEAKER_22 |
transcript.pyannote[2049].start |
12184.54034375 |
transcript.pyannote[2049].end |
12188.20221875 |
transcript.pyannote[2050].speaker |
SPEAKER_09 |
transcript.pyannote[2050].start |
12188.53971875 |
transcript.pyannote[2050].end |
12192.62346875 |
transcript.pyannote[2051].speaker |
SPEAKER_22 |
transcript.pyannote[2051].start |
12191.52659375 |
transcript.pyannote[2051].end |
12197.50034375 |
transcript.pyannote[2052].speaker |
SPEAKER_09 |
transcript.pyannote[2052].start |
12192.72471875 |
transcript.pyannote[2052].end |
12193.28159375 |
transcript.pyannote[2053].speaker |
SPEAKER_22 |
transcript.pyannote[2053].start |
12198.56346875 |
transcript.pyannote[2053].end |
12200.84159375 |
transcript.pyannote[2054].speaker |
SPEAKER_09 |
transcript.pyannote[2054].start |
12198.71534375 |
transcript.pyannote[2054].end |
12198.74909375 |
transcript.pyannote[2055].speaker |
SPEAKER_09 |
transcript.pyannote[2055].start |
12201.01034375 |
transcript.pyannote[2055].end |
12208.77284375 |
transcript.pyannote[2056].speaker |
SPEAKER_22 |
transcript.pyannote[2056].start |
12208.77284375 |
transcript.pyannote[2056].end |
12213.04221875 |
transcript.pyannote[2057].speaker |
SPEAKER_09 |
transcript.pyannote[2057].start |
12211.64159375 |
transcript.pyannote[2057].end |
12218.91471875 |
transcript.pyannote[2058].speaker |
SPEAKER_22 |
transcript.pyannote[2058].start |
12218.79659375 |
transcript.pyannote[2058].end |
12220.72034375 |
transcript.pyannote[2059].speaker |
SPEAKER_09 |
transcript.pyannote[2059].start |
12219.82596875 |
transcript.pyannote[2059].end |
12227.35221875 |
transcript.pyannote[2060].speaker |
SPEAKER_22 |
transcript.pyannote[2060].start |
12224.98971875 |
transcript.pyannote[2060].end |
12225.58034375 |
transcript.pyannote[2061].speaker |
SPEAKER_09 |
transcript.pyannote[2061].start |
12227.45346875 |
transcript.pyannote[2061].end |
12230.96346875 |
transcript.pyannote[2062].speaker |
SPEAKER_22 |
transcript.pyannote[2062].start |
12227.60534375 |
transcript.pyannote[2062].end |
12227.97659375 |
transcript.pyannote[2063].speaker |
SPEAKER_22 |
transcript.pyannote[2063].start |
12229.03971875 |
transcript.pyannote[2063].end |
12229.76534375 |
transcript.pyannote[2064].speaker |
SPEAKER_22 |
transcript.pyannote[2064].start |
12230.71034375 |
transcript.pyannote[2064].end |
12230.81159375 |
transcript.pyannote[2065].speaker |
SPEAKER_22 |
transcript.pyannote[2065].start |
12230.96346875 |
transcript.pyannote[2065].end |
12235.62096875 |
transcript.pyannote[2066].speaker |
SPEAKER_09 |
transcript.pyannote[2066].start |
12238.47284375 |
transcript.pyannote[2066].end |
12240.80159375 |
transcript.pyannote[2067].speaker |
SPEAKER_09 |
transcript.pyannote[2067].start |
12241.18971875 |
transcript.pyannote[2067].end |
12242.25284375 |
transcript.pyannote[2068].speaker |
SPEAKER_22 |
transcript.pyannote[2068].start |
12241.35846875 |
transcript.pyannote[2068].end |
12246.58971875 |
transcript.pyannote[2069].speaker |
SPEAKER_09 |
transcript.pyannote[2069].start |
12243.33284375 |
transcript.pyannote[2069].end |
12243.70409375 |
transcript.pyannote[2070].speaker |
SPEAKER_09 |
transcript.pyannote[2070].start |
12246.58971875 |
transcript.pyannote[2070].end |
12246.60659375 |
transcript.pyannote[2071].speaker |
SPEAKER_22 |
transcript.pyannote[2071].start |
12246.60659375 |
transcript.pyannote[2071].end |
12249.15471875 |
transcript.pyannote[2072].speaker |
SPEAKER_09 |
transcript.pyannote[2072].start |
12246.62346875 |
transcript.pyannote[2072].end |
12247.38284375 |
transcript.pyannote[2073].speaker |
SPEAKER_09 |
transcript.pyannote[2073].start |
12248.27721875 |
transcript.pyannote[2073].end |
12254.82471875 |
transcript.pyannote[2074].speaker |
SPEAKER_09 |
transcript.pyannote[2074].start |
12255.65159375 |
transcript.pyannote[2074].end |
12259.22909375 |
transcript.pyannote[2075].speaker |
SPEAKER_22 |
transcript.pyannote[2075].start |
12258.60471875 |
transcript.pyannote[2075].end |
12265.64159375 |
transcript.pyannote[2076].speaker |
SPEAKER_22 |
transcript.pyannote[2076].start |
12266.23221875 |
transcript.pyannote[2076].end |
12266.48534375 |
transcript.pyannote[2077].speaker |
SPEAKER_22 |
transcript.pyannote[2077].start |
12266.53596875 |
transcript.pyannote[2077].end |
12266.55284375 |
transcript.pyannote[2078].speaker |
SPEAKER_09 |
transcript.pyannote[2078].start |
12266.55284375 |
transcript.pyannote[2078].end |
12269.65784375 |
transcript.pyannote[2079].speaker |
SPEAKER_22 |
transcript.pyannote[2079].start |
12268.94909375 |
transcript.pyannote[2079].end |
12281.65596875 |
transcript.pyannote[2080].speaker |
SPEAKER_22 |
transcript.pyannote[2080].start |
12282.04409375 |
transcript.pyannote[2080].end |
12282.93846875 |
transcript.pyannote[2081].speaker |
SPEAKER_22 |
transcript.pyannote[2081].start |
12283.83284375 |
transcript.pyannote[2081].end |
12287.24159375 |
transcript.pyannote[2082].speaker |
SPEAKER_22 |
transcript.pyannote[2082].start |
12287.54534375 |
transcript.pyannote[2082].end |
12288.82784375 |
transcript.pyannote[2083].speaker |
SPEAKER_22 |
transcript.pyannote[2083].start |
12288.89534375 |
transcript.pyannote[2083].end |
12289.82346875 |
transcript.pyannote[2084].speaker |
SPEAKER_22 |
transcript.pyannote[2084].start |
12290.26221875 |
transcript.pyannote[2084].end |
12292.20284375 |
transcript.pyannote[2085].speaker |
SPEAKER_09 |
transcript.pyannote[2085].start |
12295.81409375 |
transcript.pyannote[2085].end |
12298.98659375 |
transcript.pyannote[2086].speaker |
SPEAKER_22 |
transcript.pyannote[2086].start |
12298.98659375 |
transcript.pyannote[2086].end |
12300.26909375 |
transcript.pyannote[2087].speaker |
SPEAKER_22 |
transcript.pyannote[2087].start |
12301.07909375 |
transcript.pyannote[2087].end |
12302.05784375 |
transcript.pyannote[2088].speaker |
SPEAKER_22 |
transcript.pyannote[2088].start |
12302.10846875 |
transcript.pyannote[2088].end |
12306.56346875 |
transcript.pyannote[2089].speaker |
SPEAKER_22 |
transcript.pyannote[2089].start |
12306.88409375 |
transcript.pyannote[2089].end |
12308.95971875 |
transcript.pyannote[2090].speaker |
SPEAKER_22 |
transcript.pyannote[2090].start |
12308.97659375 |
transcript.pyannote[2090].end |
12309.01034375 |
transcript.pyannote[2091].speaker |
SPEAKER_22 |
transcript.pyannote[2091].start |
12309.49971875 |
transcript.pyannote[2091].end |
12312.09846875 |
transcript.pyannote[2092].speaker |
SPEAKER_09 |
transcript.pyannote[2092].start |
12309.85409375 |
transcript.pyannote[2092].end |
12313.04346875 |
transcript.pyannote[2093].speaker |
SPEAKER_22 |
transcript.pyannote[2093].start |
12313.04346875 |
transcript.pyannote[2093].end |
12313.75221875 |
transcript.pyannote[2094].speaker |
SPEAKER_22 |
transcript.pyannote[2094].start |
12314.46096875 |
transcript.pyannote[2094].end |
12317.73471875 |
transcript.pyannote[2095].speaker |
SPEAKER_22 |
transcript.pyannote[2095].start |
12318.24096875 |
transcript.pyannote[2095].end |
12320.85659375 |
transcript.pyannote[2096].speaker |
SPEAKER_22 |
transcript.pyannote[2096].start |
12321.43034375 |
transcript.pyannote[2096].end |
12324.58596875 |
transcript.pyannote[2097].speaker |
SPEAKER_22 |
transcript.pyannote[2097].start |
12325.61534375 |
transcript.pyannote[2097].end |
12326.99909375 |
transcript.pyannote[2098].speaker |
SPEAKER_22 |
transcript.pyannote[2098].start |
12328.24784375 |
transcript.pyannote[2098].end |
12330.79596875 |
transcript.pyannote[2099].speaker |
SPEAKER_22 |
transcript.pyannote[2099].start |
12331.40346875 |
transcript.pyannote[2099].end |
12332.38221875 |
transcript.pyannote[2100].speaker |
SPEAKER_22 |
transcript.pyannote[2100].start |
12332.78721875 |
transcript.pyannote[2100].end |
12333.61409375 |
transcript.pyannote[2101].speaker |
SPEAKER_22 |
transcript.pyannote[2101].start |
12334.60971875 |
transcript.pyannote[2101].end |
12335.28471875 |
transcript.pyannote[2102].speaker |
SPEAKER_22 |
transcript.pyannote[2102].start |
12335.52096875 |
transcript.pyannote[2102].end |
12337.57971875 |
transcript.pyannote[2103].speaker |
SPEAKER_22 |
transcript.pyannote[2103].start |
12337.84971875 |
transcript.pyannote[2103].end |
12339.03096875 |
transcript.pyannote[2104].speaker |
SPEAKER_22 |
transcript.pyannote[2104].start |
12340.56659375 |
transcript.pyannote[2104].end |
12352.09221875 |
transcript.pyannote[2105].speaker |
SPEAKER_22 |
transcript.pyannote[2105].start |
12353.13846875 |
transcript.pyannote[2105].end |
12355.66971875 |
transcript.pyannote[2106].speaker |
SPEAKER_22 |
transcript.pyannote[2106].start |
12356.95221875 |
transcript.pyannote[2106].end |
12358.03221875 |
transcript.pyannote[2107].speaker |
SPEAKER_22 |
transcript.pyannote[2107].start |
12358.33596875 |
transcript.pyannote[2107].end |
12362.09909375 |
transcript.pyannote[2108].speaker |
SPEAKER_22 |
transcript.pyannote[2108].start |
12362.31846875 |
transcript.pyannote[2108].end |
12363.17909375 |
transcript.pyannote[2109].speaker |
SPEAKER_22 |
transcript.pyannote[2109].start |
12363.56721875 |
transcript.pyannote[2109].end |
12366.09846875 |
transcript.pyannote[2110].speaker |
SPEAKER_22 |
transcript.pyannote[2110].start |
12368.08971875 |
transcript.pyannote[2110].end |
12370.89096875 |
transcript.pyannote[2111].speaker |
SPEAKER_22 |
transcript.pyannote[2111].start |
12371.48159375 |
transcript.pyannote[2111].end |
12375.37971875 |
transcript.pyannote[2112].speaker |
SPEAKER_22 |
transcript.pyannote[2112].start |
12376.07159375 |
transcript.pyannote[2112].end |
12376.89846875 |
transcript.pyannote[2113].speaker |
SPEAKER_22 |
transcript.pyannote[2113].start |
12377.10096875 |
transcript.pyannote[2113].end |
12379.96971875 |
transcript.pyannote[2114].speaker |
SPEAKER_22 |
transcript.pyannote[2114].start |
12380.99909375 |
transcript.pyannote[2114].end |
12381.87659375 |
transcript.pyannote[2115].speaker |
SPEAKER_22 |
transcript.pyannote[2115].start |
12382.21409375 |
transcript.pyannote[2115].end |
12383.15909375 |
transcript.pyannote[2116].speaker |
SPEAKER_22 |
transcript.pyannote[2116].start |
12383.80034375 |
transcript.pyannote[2116].end |
12388.08659375 |
transcript.pyannote[2117].speaker |
SPEAKER_22 |
transcript.pyannote[2117].start |
12388.67721875 |
transcript.pyannote[2117].end |
12389.43659375 |
transcript.pyannote[2118].speaker |
SPEAKER_22 |
transcript.pyannote[2118].start |
12389.55471875 |
transcript.pyannote[2118].end |
12392.76096875 |
transcript.pyannote[2119].speaker |
SPEAKER_22 |
transcript.pyannote[2119].start |
12394.07721875 |
transcript.pyannote[2119].end |
12395.34284375 |
transcript.pyannote[2120].speaker |
SPEAKER_22 |
transcript.pyannote[2120].start |
12395.79846875 |
transcript.pyannote[2120].end |
12396.84471875 |
transcript.pyannote[2121].speaker |
SPEAKER_22 |
transcript.pyannote[2121].start |
12397.23284375 |
transcript.pyannote[2121].end |
12398.16096875 |
transcript.pyannote[2122].speaker |
SPEAKER_22 |
transcript.pyannote[2122].start |
12398.39721875 |
transcript.pyannote[2122].end |
12399.17346875 |
transcript.pyannote[2123].speaker |
SPEAKER_22 |
transcript.pyannote[2123].start |
12399.51096875 |
transcript.pyannote[2123].end |
12400.25346875 |
transcript.pyannote[2124].speaker |
SPEAKER_22 |
transcript.pyannote[2124].start |
12400.42221875 |
transcript.pyannote[2124].end |
12401.19846875 |
transcript.pyannote[2125].speaker |
SPEAKER_22 |
transcript.pyannote[2125].start |
12402.14346875 |
transcript.pyannote[2125].end |
12406.31159375 |
transcript.pyannote[2126].speaker |
SPEAKER_22 |
transcript.pyannote[2126].start |
12406.42971875 |
transcript.pyannote[2126].end |
12409.75409375 |
transcript.pyannote[2127].speaker |
SPEAKER_22 |
transcript.pyannote[2127].start |
12410.22659375 |
transcript.pyannote[2127].end |
12412.26846875 |
transcript.pyannote[2128].speaker |
SPEAKER_09 |
transcript.pyannote[2128].start |
12413.55096875 |
transcript.pyannote[2128].end |
12415.50846875 |
transcript.pyannote[2129].speaker |
SPEAKER_09 |
transcript.pyannote[2129].start |
12415.64346875 |
transcript.pyannote[2129].end |
12416.94284375 |
transcript.pyannote[2130].speaker |
SPEAKER_22 |
transcript.pyannote[2130].start |
12417.48284375 |
transcript.pyannote[2130].end |
12417.87096875 |
transcript.pyannote[2131].speaker |
SPEAKER_22 |
transcript.pyannote[2131].start |
12418.14096875 |
transcript.pyannote[2131].end |
12422.71409375 |
transcript.pyannote[2132].speaker |
SPEAKER_22 |
transcript.pyannote[2132].start |
12423.30471875 |
transcript.pyannote[2132].end |
12424.04721875 |
transcript.pyannote[2133].speaker |
SPEAKER_22 |
transcript.pyannote[2133].start |
12424.50284375 |
transcript.pyannote[2133].end |
12428.09721875 |
transcript.pyannote[2134].speaker |
SPEAKER_22 |
transcript.pyannote[2134].start |
12428.63721875 |
transcript.pyannote[2134].end |
12432.51846875 |
transcript.pyannote[2135].speaker |
SPEAKER_22 |
transcript.pyannote[2135].start |
12433.14284375 |
transcript.pyannote[2135].end |
12437.74971875 |
transcript.pyannote[2136].speaker |
SPEAKER_22 |
transcript.pyannote[2136].start |
12438.12096875 |
transcript.pyannote[2136].end |
12439.87596875 |
transcript.pyannote[2137].speaker |
SPEAKER_09 |
transcript.pyannote[2137].start |
12441.64784375 |
transcript.pyannote[2137].end |
12444.12846875 |
transcript.pyannote[2138].speaker |
SPEAKER_22 |
transcript.pyannote[2138].start |
12443.75721875 |
transcript.pyannote[2138].end |
12448.06034375 |
transcript.pyannote[2139].speaker |
SPEAKER_22 |
transcript.pyannote[2139].start |
12451.77284375 |
transcript.pyannote[2139].end |
12453.25784375 |
transcript.pyannote[2140].speaker |
SPEAKER_22 |
transcript.pyannote[2140].start |
12456.09284375 |
transcript.pyannote[2140].end |
12457.64534375 |
transcript.pyannote[2141].speaker |
SPEAKER_22 |
transcript.pyannote[2141].start |
12460.34534375 |
transcript.pyannote[2141].end |
12466.20096875 |
transcript.pyannote[2142].speaker |
SPEAKER_22 |
transcript.pyannote[2142].start |
12467.07846875 |
transcript.pyannote[2142].end |
12468.10784375 |
transcript.pyannote[2143].speaker |
SPEAKER_22 |
transcript.pyannote[2143].start |
12468.61409375 |
transcript.pyannote[2143].end |
12470.77409375 |
transcript.pyannote[2144].speaker |
SPEAKER_22 |
transcript.pyannote[2144].start |
12471.61784375 |
transcript.pyannote[2144].end |
12472.30971875 |
transcript.pyannote[2145].speaker |
SPEAKER_22 |
transcript.pyannote[2145].start |
12472.52909375 |
transcript.pyannote[2145].end |
12475.68471875 |
transcript.pyannote[2146].speaker |
SPEAKER_16 |
transcript.pyannote[2146].start |
12475.68471875 |
transcript.pyannote[2146].end |
12475.85346875 |
transcript.pyannote[2147].speaker |
SPEAKER_22 |
transcript.pyannote[2147].start |
12475.85346875 |
transcript.pyannote[2147].end |
12476.96721875 |
transcript.pyannote[2148].speaker |
SPEAKER_16 |
transcript.pyannote[2148].start |
12476.96721875 |
transcript.pyannote[2148].end |
12477.92909375 |
transcript.pyannote[2149].speaker |
SPEAKER_16 |
transcript.pyannote[2149].start |
12478.55346875 |
transcript.pyannote[2149].end |
12479.04284375 |
transcript.pyannote[2150].speaker |
SPEAKER_16 |
transcript.pyannote[2150].start |
12479.16096875 |
transcript.pyannote[2150].end |
12485.03346875 |
transcript.pyannote[2151].speaker |
SPEAKER_22 |
transcript.pyannote[2151].start |
12483.04221875 |
transcript.pyannote[2151].end |
12483.86909375 |
transcript.pyannote[2152].speaker |
SPEAKER_22 |
transcript.pyannote[2152].start |
12484.24034375 |
transcript.pyannote[2152].end |
12484.34159375 |
transcript.pyannote[2153].speaker |
SPEAKER_22 |
transcript.pyannote[2153].start |
12485.03346875 |
transcript.pyannote[2153].end |
12487.46346875 |
transcript.pyannote[2154].speaker |
SPEAKER_22 |
transcript.pyannote[2154].start |
12487.64909375 |
transcript.pyannote[2154].end |
12492.57659375 |
transcript.pyannote[2155].speaker |
SPEAKER_22 |
transcript.pyannote[2155].start |
12492.89721875 |
transcript.pyannote[2155].end |
12493.13346875 |
transcript.pyannote[2156].speaker |
SPEAKER_22 |
transcript.pyannote[2156].start |
12494.14596875 |
transcript.pyannote[2156].end |
12495.24284375 |
transcript.pyannote[2157].speaker |
SPEAKER_16 |
transcript.pyannote[2157].start |
12495.24284375 |
transcript.pyannote[2157].end |
12495.25971875 |
transcript.pyannote[2158].speaker |
SPEAKER_22 |
transcript.pyannote[2158].start |
12495.47909375 |
transcript.pyannote[2158].end |
12496.59284375 |
transcript.pyannote[2159].speaker |
SPEAKER_16 |
transcript.pyannote[2159].start |
12496.59284375 |
transcript.pyannote[2159].end |
12496.60971875 |
transcript.pyannote[2160].speaker |
SPEAKER_22 |
transcript.pyannote[2160].start |
12497.62221875 |
transcript.pyannote[2160].end |
12497.63909375 |
transcript.pyannote[2161].speaker |
SPEAKER_16 |
transcript.pyannote[2161].start |
12497.63909375 |
transcript.pyannote[2161].end |
12497.97659375 |
transcript.pyannote[2162].speaker |
SPEAKER_16 |
transcript.pyannote[2162].start |
12498.28034375 |
transcript.pyannote[2162].end |
12516.33659375 |
transcript.pyannote[2163].speaker |
SPEAKER_22 |
transcript.pyannote[2163].start |
12515.86409375 |
transcript.pyannote[2163].end |
12516.38721875 |
transcript.pyannote[2164].speaker |
SPEAKER_16 |
transcript.pyannote[2164].start |
12516.38721875 |
transcript.pyannote[2164].end |
12517.72034375 |
transcript.pyannote[2165].speaker |
SPEAKER_22 |
transcript.pyannote[2165].start |
12518.09159375 |
transcript.pyannote[2165].end |
12519.76221875 |
transcript.pyannote[2166].speaker |
SPEAKER_22 |
transcript.pyannote[2166].start |
12520.85909375 |
transcript.pyannote[2166].end |
12521.82096875 |
transcript.pyannote[2167].speaker |
SPEAKER_22 |
transcript.pyannote[2167].start |
12523.39034375 |
transcript.pyannote[2167].end |
12523.98096875 |
transcript.pyannote[2168].speaker |
SPEAKER_22 |
transcript.pyannote[2168].start |
12524.85846875 |
transcript.pyannote[2168].end |
12526.63034375 |
transcript.pyannote[2169].speaker |
SPEAKER_22 |
transcript.pyannote[2169].start |
12529.71846875 |
transcript.pyannote[2169].end |
12530.95034375 |
transcript.pyannote[2170].speaker |
SPEAKER_22 |
transcript.pyannote[2170].start |
12531.59159375 |
transcript.pyannote[2170].end |
12532.70534375 |
transcript.pyannote[2171].speaker |
SPEAKER_22 |
transcript.pyannote[2171].start |
12533.34659375 |
transcript.pyannote[2171].end |
12534.37596875 |
transcript.pyannote[2172].speaker |
SPEAKER_22 |
transcript.pyannote[2172].start |
12534.93284375 |
transcript.pyannote[2172].end |
12536.78909375 |
transcript.pyannote[2173].speaker |
SPEAKER_16 |
transcript.pyannote[2173].start |
12536.78909375 |
transcript.pyannote[2173].end |
12536.82284375 |
transcript.pyannote[2174].speaker |
SPEAKER_22 |
transcript.pyannote[2174].start |
12537.41346875 |
transcript.pyannote[2174].end |
12537.43034375 |
transcript.pyannote[2175].speaker |
SPEAKER_16 |
transcript.pyannote[2175].start |
12537.43034375 |
transcript.pyannote[2175].end |
12542.25659375 |
transcript.pyannote[2176].speaker |
SPEAKER_16 |
transcript.pyannote[2176].start |
12542.52659375 |
transcript.pyannote[2176].end |
12546.03659375 |
transcript.pyannote[2177].speaker |
SPEAKER_22 |
transcript.pyannote[2177].start |
12543.01596875 |
transcript.pyannote[2177].end |
12543.30284375 |
transcript.pyannote[2178].speaker |
SPEAKER_22 |
transcript.pyannote[2178].start |
12544.11284375 |
transcript.pyannote[2178].end |
12544.46721875 |
transcript.pyannote[2179].speaker |
SPEAKER_22 |
transcript.pyannote[2179].start |
12546.03659375 |
transcript.pyannote[2179].end |
12547.50471875 |
transcript.pyannote[2180].speaker |
SPEAKER_22 |
transcript.pyannote[2180].start |
12547.84221875 |
transcript.pyannote[2180].end |
12549.63096875 |
transcript.pyannote[2181].speaker |
SPEAKER_22 |
transcript.pyannote[2181].start |
12549.90096875 |
transcript.pyannote[2181].end |
12552.12846875 |
transcript.pyannote[2182].speaker |
SPEAKER_22 |
transcript.pyannote[2182].start |
12552.55034375 |
transcript.pyannote[2182].end |
12557.35971875 |
transcript.pyannote[2183].speaker |
SPEAKER_22 |
transcript.pyannote[2183].start |
12557.69721875 |
transcript.pyannote[2183].end |
12562.42221875 |
transcript.pyannote[2184].speaker |
SPEAKER_22 |
transcript.pyannote[2184].start |
12562.75971875 |
transcript.pyannote[2184].end |
12565.29096875 |
transcript.pyannote[2185].speaker |
SPEAKER_22 |
transcript.pyannote[2185].start |
12566.32034375 |
transcript.pyannote[2185].end |
12568.95284375 |
transcript.pyannote[2186].speaker |
SPEAKER_01 |
transcript.pyannote[2186].start |
12566.45534375 |
transcript.pyannote[2186].end |
12566.84346875 |
transcript.pyannote[2187].speaker |
SPEAKER_16 |
transcript.pyannote[2187].start |
12568.95284375 |
transcript.pyannote[2187].end |
12569.00346875 |
transcript.pyannote[2188].speaker |
SPEAKER_22 |
transcript.pyannote[2188].start |
12569.54346875 |
transcript.pyannote[2188].end |
12569.56034375 |
transcript.pyannote[2189].speaker |
SPEAKER_16 |
transcript.pyannote[2189].start |
12569.56034375 |
transcript.pyannote[2189].end |
12575.75346875 |
transcript.pyannote[2190].speaker |
SPEAKER_01 |
transcript.pyannote[2190].start |
12572.74971875 |
transcript.pyannote[2190].end |
12572.76659375 |
transcript.pyannote[2191].speaker |
SPEAKER_22 |
transcript.pyannote[2191].start |
12572.76659375 |
transcript.pyannote[2191].end |
12573.66096875 |
transcript.pyannote[2192].speaker |
SPEAKER_22 |
transcript.pyannote[2192].start |
12574.85909375 |
transcript.pyannote[2192].end |
12576.02346875 |
transcript.pyannote[2193].speaker |
SPEAKER_16 |
transcript.pyannote[2193].start |
12576.34409375 |
transcript.pyannote[2193].end |
12576.41159375 |
transcript.pyannote[2194].speaker |
SPEAKER_22 |
transcript.pyannote[2194].start |
12576.41159375 |
transcript.pyannote[2194].end |
12576.68159375 |
transcript.pyannote[2195].speaker |
SPEAKER_16 |
transcript.pyannote[2195].start |
12576.68159375 |
transcript.pyannote[2195].end |
12576.69846875 |
transcript.pyannote[2196].speaker |
SPEAKER_22 |
transcript.pyannote[2196].start |
12576.69846875 |
transcript.pyannote[2196].end |
12580.52909375 |
transcript.pyannote[2197].speaker |
SPEAKER_16 |
transcript.pyannote[2197].start |
12577.47471875 |
transcript.pyannote[2197].end |
12579.14534375 |
transcript.pyannote[2198].speaker |
SPEAKER_16 |
transcript.pyannote[2198].start |
12580.52909375 |
transcript.pyannote[2198].end |
12580.64721875 |
transcript.pyannote[2199].speaker |
SPEAKER_22 |
transcript.pyannote[2199].start |
12580.64721875 |
transcript.pyannote[2199].end |
12580.66409375 |
transcript.pyannote[2200].speaker |
SPEAKER_22 |
transcript.pyannote[2200].start |
12580.90034375 |
transcript.pyannote[2200].end |
12582.84096875 |
transcript.pyannote[2201].speaker |
SPEAKER_22 |
transcript.pyannote[2201].start |
12584.24159375 |
transcript.pyannote[2201].end |
12584.74784375 |
transcript.pyannote[2202].speaker |
SPEAKER_22 |
transcript.pyannote[2202].start |
12585.28784375 |
transcript.pyannote[2202].end |
12585.92909375 |
transcript.pyannote[2203].speaker |
SPEAKER_22 |
transcript.pyannote[2203].start |
12586.60409375 |
transcript.pyannote[2203].end |
12588.78096875 |
transcript.pyannote[2204].speaker |
SPEAKER_01 |
transcript.pyannote[2204].start |
12588.78096875 |
transcript.pyannote[2204].end |
12589.27034375 |
transcript.pyannote[2205].speaker |
SPEAKER_22 |
transcript.pyannote[2205].start |
12589.35471875 |
transcript.pyannote[2205].end |
12590.36721875 |
transcript.pyannote[2206].speaker |
SPEAKER_22 |
transcript.pyannote[2206].start |
12590.58659375 |
transcript.pyannote[2206].end |
12600.84659375 |
transcript.pyannote[2207].speaker |
SPEAKER_22 |
transcript.pyannote[2207].start |
12601.15034375 |
transcript.pyannote[2207].end |
12609.01409375 |
transcript.pyannote[2208].speaker |
SPEAKER_22 |
transcript.pyannote[2208].start |
12609.65534375 |
transcript.pyannote[2208].end |
12610.93784375 |
transcript.pyannote[2209].speaker |
SPEAKER_22 |
transcript.pyannote[2209].start |
12610.97159375 |
transcript.pyannote[2209].end |
12615.24096875 |
transcript.pyannote[2210].speaker |
SPEAKER_22 |
transcript.pyannote[2210].start |
12615.34221875 |
transcript.pyannote[2210].end |
12615.96659375 |
transcript.pyannote[2211].speaker |
SPEAKER_09 |
transcript.pyannote[2211].start |
12615.96659375 |
transcript.pyannote[2211].end |
12619.64534375 |
transcript.pyannote[2212].speaker |
SPEAKER_22 |
transcript.pyannote[2212].start |
12618.71721875 |
transcript.pyannote[2212].end |
12620.03346875 |
transcript.pyannote[2213].speaker |
SPEAKER_09 |
transcript.pyannote[2213].start |
12620.03346875 |
transcript.pyannote[2213].end |
12622.37909375 |
transcript.pyannote[2214].speaker |
SPEAKER_22 |
transcript.pyannote[2214].start |
12620.06721875 |
transcript.pyannote[2214].end |
12620.60721875 |
transcript.pyannote[2215].speaker |
SPEAKER_10 |
transcript.pyannote[2215].start |
12623.88096875 |
transcript.pyannote[2215].end |
12627.54284375 |
transcript.pyannote[2216].speaker |
SPEAKER_10 |
transcript.pyannote[2216].start |
12629.28096875 |
transcript.pyannote[2216].end |
12630.36096875 |
transcript.pyannote[2217].speaker |
SPEAKER_17 |
transcript.pyannote[2217].start |
12647.03346875 |
transcript.pyannote[2217].end |
12648.82221875 |
transcript.pyannote[2218].speaker |
SPEAKER_10 |
transcript.pyannote[2218].start |
12650.93159375 |
transcript.pyannote[2218].end |
12652.06221875 |
transcript.pyannote[2219].speaker |
SPEAKER_17 |
transcript.pyannote[2219].start |
12656.46659375 |
transcript.pyannote[2219].end |
12656.95596875 |
transcript.pyannote[2220].speaker |
SPEAKER_17 |
transcript.pyannote[2220].start |
12657.39471875 |
transcript.pyannote[2220].end |
12660.16221875 |
transcript.pyannote[2221].speaker |
SPEAKER_17 |
transcript.pyannote[2221].start |
12660.51659375 |
transcript.pyannote[2221].end |
12662.30534375 |
transcript.pyannote[2222].speaker |
SPEAKER_17 |
transcript.pyannote[2222].start |
12663.55409375 |
transcript.pyannote[2222].end |
12664.09409375 |
transcript.pyannote[2223].speaker |
SPEAKER_17 |
transcript.pyannote[2223].start |
12664.70159375 |
transcript.pyannote[2223].end |
12665.62971875 |
transcript.pyannote[2224].speaker |
SPEAKER_17 |
transcript.pyannote[2224].start |
12666.70971875 |
transcript.pyannote[2224].end |
12668.49846875 |
transcript.pyannote[2225].speaker |
SPEAKER_17 |
transcript.pyannote[2225].start |
12670.86096875 |
transcript.pyannote[2225].end |
12672.16034375 |
transcript.pyannote[2226].speaker |
SPEAKER_17 |
transcript.pyannote[2226].start |
12672.58221875 |
transcript.pyannote[2226].end |
12674.03346875 |
transcript.pyannote[2227].speaker |
SPEAKER_03 |
transcript.pyannote[2227].start |
12674.03346875 |
transcript.pyannote[2227].end |
12674.53971875 |
transcript.pyannote[2228].speaker |
SPEAKER_03 |
transcript.pyannote[2228].start |
12674.82659375 |
transcript.pyannote[2228].end |
12674.84346875 |
transcript.pyannote[2229].speaker |
SPEAKER_17 |
transcript.pyannote[2229].start |
12674.84346875 |
transcript.pyannote[2229].end |
12674.87721875 |
transcript.pyannote[2230].speaker |
SPEAKER_03 |
transcript.pyannote[2230].start |
12674.87721875 |
transcript.pyannote[2230].end |
12678.91034375 |
transcript.pyannote[2231].speaker |
SPEAKER_17 |
transcript.pyannote[2231].start |
12678.91034375 |
transcript.pyannote[2231].end |
12679.09596875 |
transcript.pyannote[2232].speaker |
SPEAKER_03 |
transcript.pyannote[2232].start |
12679.09596875 |
transcript.pyannote[2232].end |
12679.21409375 |
transcript.pyannote[2233].speaker |
SPEAKER_17 |
transcript.pyannote[2233].start |
12679.21409375 |
transcript.pyannote[2233].end |
12679.24784375 |
transcript.pyannote[2234].speaker |
SPEAKER_17 |
transcript.pyannote[2234].start |
12681.57659375 |
transcript.pyannote[2234].end |
12683.73659375 |
transcript.pyannote[2235].speaker |
SPEAKER_17 |
transcript.pyannote[2235].start |
12683.98971875 |
transcript.pyannote[2235].end |
12684.73221875 |
transcript.pyannote[2236].speaker |
SPEAKER_17 |
transcript.pyannote[2236].start |
12684.96846875 |
transcript.pyannote[2236].end |
12686.14971875 |
transcript.pyannote[2237].speaker |
SPEAKER_17 |
transcript.pyannote[2237].start |
12687.56721875 |
transcript.pyannote[2237].end |
12687.87096875 |
transcript.pyannote[2238].speaker |
SPEAKER_17 |
transcript.pyannote[2238].start |
12688.30971875 |
transcript.pyannote[2238].end |
12689.87909375 |
transcript.pyannote[2239].speaker |
SPEAKER_03 |
transcript.pyannote[2239].start |
12689.87909375 |
transcript.pyannote[2239].end |
12689.91284375 |
transcript.pyannote[2240].speaker |
SPEAKER_17 |
transcript.pyannote[2240].start |
12690.43596875 |
transcript.pyannote[2240].end |
12690.45284375 |
transcript.pyannote[2241].speaker |
SPEAKER_03 |
transcript.pyannote[2241].start |
12690.45284375 |
transcript.pyannote[2241].end |
12696.00471875 |
transcript.pyannote[2242].speaker |
SPEAKER_17 |
transcript.pyannote[2242].start |
12697.18596875 |
transcript.pyannote[2242].end |
12697.74284375 |
transcript.pyannote[2243].speaker |
SPEAKER_17 |
transcript.pyannote[2243].start |
12699.66659375 |
transcript.pyannote[2243].end |
12701.86034375 |
transcript.pyannote[2244].speaker |
SPEAKER_17 |
transcript.pyannote[2244].start |
12703.09221875 |
transcript.pyannote[2244].end |
12707.86784375 |
transcript.pyannote[2245].speaker |
SPEAKER_17 |
transcript.pyannote[2245].start |
12708.13784375 |
transcript.pyannote[2245].end |
12710.29784375 |
transcript.pyannote[2246].speaker |
SPEAKER_17 |
transcript.pyannote[2246].start |
12711.07409375 |
transcript.pyannote[2246].end |
12712.77846875 |
transcript.pyannote[2247].speaker |
SPEAKER_17 |
transcript.pyannote[2247].start |
12713.99346875 |
transcript.pyannote[2247].end |
12714.07784375 |
transcript.pyannote[2248].speaker |
SPEAKER_17 |
transcript.pyannote[2248].start |
12714.21284375 |
transcript.pyannote[2248].end |
12716.54159375 |
transcript.pyannote[2249].speaker |
SPEAKER_17 |
transcript.pyannote[2249].start |
12717.08159375 |
transcript.pyannote[2249].end |
12719.37659375 |
transcript.pyannote[2250].speaker |
SPEAKER_17 |
transcript.pyannote[2250].start |
12720.18659375 |
transcript.pyannote[2250].end |
12722.26221875 |
transcript.pyannote[2251].speaker |
SPEAKER_17 |
transcript.pyannote[2251].start |
12723.46034375 |
transcript.pyannote[2251].end |
12724.47284375 |
transcript.pyannote[2252].speaker |
SPEAKER_17 |
transcript.pyannote[2252].start |
12724.65846875 |
transcript.pyannote[2252].end |
12725.46846875 |
transcript.pyannote[2253].speaker |
SPEAKER_17 |
transcript.pyannote[2253].start |
12729.45096875 |
transcript.pyannote[2253].end |
12730.34534375 |
transcript.pyannote[2254].speaker |
SPEAKER_17 |
transcript.pyannote[2254].start |
12732.57284375 |
transcript.pyannote[2254].end |
12732.85971875 |
transcript.pyannote[2255].speaker |
SPEAKER_10 |
transcript.pyannote[2255].start |
12732.85971875 |
transcript.pyannote[2255].end |
12732.99471875 |
transcript.pyannote[2256].speaker |
SPEAKER_17 |
transcript.pyannote[2256].start |
12732.99471875 |
transcript.pyannote[2256].end |
12733.06221875 |
transcript.pyannote[2257].speaker |
SPEAKER_10 |
transcript.pyannote[2257].start |
12736.70721875 |
transcript.pyannote[2257].end |
12737.95596875 |
transcript.pyannote[2258].speaker |
SPEAKER_17 |
transcript.pyannote[2258].start |
12738.14159375 |
transcript.pyannote[2258].end |
12739.00221875 |
transcript.pyannote[2259].speaker |
SPEAKER_17 |
transcript.pyannote[2259].start |
12740.62221875 |
transcript.pyannote[2259].end |
12747.89534375 |
transcript.pyannote[2260].speaker |
SPEAKER_17 |
transcript.pyannote[2260].start |
12748.45221875 |
transcript.pyannote[2260].end |
12749.83596875 |
transcript.pyannote[2261].speaker |
SPEAKER_17 |
transcript.pyannote[2261].start |
12753.64971875 |
transcript.pyannote[2261].end |
12753.95346875 |
transcript.pyannote[2262].speaker |
SPEAKER_09 |
transcript.pyannote[2262].start |
12753.95346875 |
transcript.pyannote[2262].end |
12754.03784375 |
transcript.pyannote[2263].speaker |
SPEAKER_17 |
transcript.pyannote[2263].start |
12754.03784375 |
transcript.pyannote[2263].end |
12754.35846875 |
transcript.pyannote[2264].speaker |
SPEAKER_09 |
transcript.pyannote[2264].start |
12754.35846875 |
transcript.pyannote[2264].end |
12754.40909375 |
transcript.pyannote[2265].speaker |
SPEAKER_17 |
transcript.pyannote[2265].start |
12754.40909375 |
transcript.pyannote[2265].end |
12754.71284375 |
transcript.pyannote[2266].speaker |
SPEAKER_09 |
transcript.pyannote[2266].start |
12754.71284375 |
transcript.pyannote[2266].end |
12755.10096875 |
transcript.pyannote[2267].speaker |
SPEAKER_09 |
transcript.pyannote[2267].start |
12755.87721875 |
transcript.pyannote[2267].end |
12762.05346875 |
transcript.pyannote[2268].speaker |
SPEAKER_17 |
transcript.pyannote[2268].start |
12759.96096875 |
transcript.pyannote[2268].end |
12763.63971875 |
transcript.pyannote[2269].speaker |
SPEAKER_09 |
transcript.pyannote[2269].start |
12763.63971875 |
transcript.pyannote[2269].end |
12763.65659375 |
transcript.pyannote[2270].speaker |
SPEAKER_17 |
transcript.pyannote[2270].start |
12763.65659375 |
transcript.pyannote[2270].end |
12763.67346875 |
transcript.pyannote[2271].speaker |
SPEAKER_09 |
transcript.pyannote[2271].start |
12764.38221875 |
transcript.pyannote[2271].end |
12766.32284375 |
transcript.pyannote[2272].speaker |
SPEAKER_09 |
transcript.pyannote[2272].start |
12766.72784375 |
transcript.pyannote[2272].end |
12773.61284375 |
transcript.pyannote[2273].speaker |
SPEAKER_09 |
transcript.pyannote[2273].start |
12774.10221875 |
transcript.pyannote[2273].end |
12774.13596875 |
transcript.pyannote[2274].speaker |
SPEAKER_17 |
transcript.pyannote[2274].start |
12774.13596875 |
transcript.pyannote[2274].end |
12775.80659375 |
transcript.pyannote[2275].speaker |
SPEAKER_09 |
transcript.pyannote[2275].start |
12775.80659375 |
transcript.pyannote[2275].end |
12777.64596875 |
transcript.pyannote[2276].speaker |
SPEAKER_17 |
transcript.pyannote[2276].start |
12775.85721875 |
transcript.pyannote[2276].end |
12784.58159375 |
transcript.pyannote[2277].speaker |
SPEAKER_17 |
transcript.pyannote[2277].start |
12785.35784375 |
transcript.pyannote[2277].end |
12785.86409375 |
transcript.pyannote[2278].speaker |
SPEAKER_09 |
transcript.pyannote[2278].start |
12786.80909375 |
transcript.pyannote[2278].end |
12795.34784375 |
transcript.pyannote[2279].speaker |
SPEAKER_17 |
transcript.pyannote[2279].start |
12787.53471875 |
transcript.pyannote[2279].end |
12788.49659375 |
transcript.pyannote[2280].speaker |
SPEAKER_17 |
transcript.pyannote[2280].start |
12795.34784375 |
transcript.pyannote[2280].end |
12800.95034375 |
transcript.pyannote[2281].speaker |
SPEAKER_17 |
transcript.pyannote[2281].start |
12801.32159375 |
transcript.pyannote[2281].end |
12809.67471875 |
transcript.pyannote[2282].speaker |
SPEAKER_17 |
transcript.pyannote[2282].start |
12810.16409375 |
transcript.pyannote[2282].end |
12812.77971875 |
transcript.pyannote[2283].speaker |
SPEAKER_17 |
transcript.pyannote[2283].start |
12813.35346875 |
transcript.pyannote[2283].end |
12814.68659375 |
transcript.pyannote[2284].speaker |
SPEAKER_17 |
transcript.pyannote[2284].start |
12815.17596875 |
transcript.pyannote[2284].end |
12817.25159375 |
transcript.pyannote[2285].speaker |
SPEAKER_09 |
transcript.pyannote[2285].start |
12817.25159375 |
transcript.pyannote[2285].end |
12817.28534375 |
transcript.pyannote[2286].speaker |
SPEAKER_17 |
transcript.pyannote[2286].start |
12818.55096875 |
transcript.pyannote[2286].end |
12818.56784375 |
transcript.pyannote[2287].speaker |
SPEAKER_09 |
transcript.pyannote[2287].start |
12818.56784375 |
transcript.pyannote[2287].end |
12818.61846875 |
transcript.pyannote[2288].speaker |
SPEAKER_17 |
transcript.pyannote[2288].start |
12818.61846875 |
transcript.pyannote[2288].end |
12818.82096875 |
transcript.pyannote[2289].speaker |
SPEAKER_09 |
transcript.pyannote[2289].start |
12818.82096875 |
transcript.pyannote[2289].end |
12818.88846875 |
transcript.pyannote[2290].speaker |
SPEAKER_09 |
transcript.pyannote[2290].start |
12819.91784375 |
transcript.pyannote[2290].end |
12834.39659375 |
transcript.pyannote[2291].speaker |
SPEAKER_00 |
transcript.pyannote[2291].start |
12824.71034375 |
transcript.pyannote[2291].end |
12824.84534375 |
transcript.pyannote[2292].speaker |
SPEAKER_01 |
transcript.pyannote[2292].start |
12824.84534375 |
transcript.pyannote[2292].end |
12825.73971875 |
transcript.pyannote[2293].speaker |
SPEAKER_17 |
transcript.pyannote[2293].start |
12827.05596875 |
transcript.pyannote[2293].end |
12827.19096875 |
transcript.pyannote[2294].speaker |
SPEAKER_01 |
transcript.pyannote[2294].start |
12829.45221875 |
transcript.pyannote[2294].end |
12829.46909375 |
transcript.pyannote[2295].speaker |
SPEAKER_17 |
transcript.pyannote[2295].start |
12829.46909375 |
transcript.pyannote[2295].end |
12833.26596875 |
transcript.pyannote[2296].speaker |
SPEAKER_17 |
transcript.pyannote[2296].start |
12834.21096875 |
transcript.pyannote[2296].end |
12839.89784375 |
transcript.pyannote[2297].speaker |
SPEAKER_17 |
transcript.pyannote[2297].start |
12841.85534375 |
transcript.pyannote[2297].end |
12842.24346875 |
transcript.pyannote[2298].speaker |
SPEAKER_17 |
transcript.pyannote[2298].start |
12843.66096875 |
transcript.pyannote[2298].end |
12844.04909375 |
transcript.pyannote[2299].speaker |
SPEAKER_17 |
transcript.pyannote[2299].start |
12844.20096875 |
transcript.pyannote[2299].end |
12844.80846875 |
transcript.pyannote[2300].speaker |
SPEAKER_17 |
transcript.pyannote[2300].start |
12845.07846875 |
transcript.pyannote[2300].end |
12855.28784375 |
transcript.pyannote[2301].speaker |
SPEAKER_17 |
transcript.pyannote[2301].start |
12855.91221875 |
transcript.pyannote[2301].end |
12860.65409375 |
transcript.pyannote[2302].speaker |
SPEAKER_17 |
transcript.pyannote[2302].start |
12860.97471875 |
transcript.pyannote[2302].end |
12869.00721875 |
transcript.pyannote[2303].speaker |
SPEAKER_17 |
transcript.pyannote[2303].start |
12870.17159375 |
transcript.pyannote[2303].end |
12870.18846875 |
transcript.pyannote[2304].speaker |
SPEAKER_09 |
transcript.pyannote[2304].start |
12870.18846875 |
transcript.pyannote[2304].end |
12882.94596875 |
transcript.pyannote[2305].speaker |
SPEAKER_17 |
transcript.pyannote[2305].start |
12882.94596875 |
transcript.pyannote[2305].end |
12886.06784375 |
transcript.pyannote[2306].speaker |
SPEAKER_09 |
transcript.pyannote[2306].start |
12886.06784375 |
transcript.pyannote[2306].end |
12888.32909375 |
transcript.pyannote[2307].speaker |
SPEAKER_09 |
transcript.pyannote[2307].start |
12888.64971875 |
transcript.pyannote[2307].end |
12896.05784375 |
transcript.pyannote[2308].speaker |
SPEAKER_17 |
transcript.pyannote[2308].start |
12888.68346875 |
transcript.pyannote[2308].end |
12888.97034375 |
transcript.pyannote[2309].speaker |
SPEAKER_24 |
transcript.pyannote[2309].start |
12888.97034375 |
transcript.pyannote[2309].end |
12889.03784375 |
transcript.pyannote[2310].speaker |
SPEAKER_17 |
transcript.pyannote[2310].start |
12889.03784375 |
transcript.pyannote[2310].end |
12889.78034375 |
transcript.pyannote[2311].speaker |
SPEAKER_24 |
transcript.pyannote[2311].start |
12889.78034375 |
transcript.pyannote[2311].end |
12889.89846875 |
transcript.pyannote[2312].speaker |
SPEAKER_17 |
transcript.pyannote[2312].start |
12889.89846875 |
transcript.pyannote[2312].end |
12893.02034375 |
transcript.pyannote[2313].speaker |
SPEAKER_17 |
transcript.pyannote[2313].start |
12896.05784375 |
transcript.pyannote[2313].end |
12909.67596875 |
transcript.pyannote[2314].speaker |
SPEAKER_09 |
transcript.pyannote[2314].start |
12898.55534375 |
transcript.pyannote[2314].end |
12900.61409375 |
transcript.pyannote[2315].speaker |
SPEAKER_17 |
transcript.pyannote[2315].start |
12909.94596875 |
transcript.pyannote[2315].end |
12915.97034375 |
transcript.pyannote[2316].speaker |
SPEAKER_17 |
transcript.pyannote[2316].start |
12918.99096875 |
transcript.pyannote[2316].end |
12919.32846875 |
transcript.pyannote[2317].speaker |
SPEAKER_17 |
transcript.pyannote[2317].start |
12919.78409375 |
transcript.pyannote[2317].end |
12921.72471875 |
transcript.pyannote[2318].speaker |
SPEAKER_17 |
transcript.pyannote[2318].start |
12923.34471875 |
transcript.pyannote[2318].end |
12924.18846875 |
transcript.pyannote[2319].speaker |
SPEAKER_17 |
transcript.pyannote[2319].start |
12924.72846875 |
transcript.pyannote[2319].end |
12924.74534375 |
transcript.pyannote[2320].speaker |
SPEAKER_09 |
transcript.pyannote[2320].start |
12924.74534375 |
transcript.pyannote[2320].end |
12924.76221875 |
transcript.pyannote[2321].speaker |
SPEAKER_17 |
transcript.pyannote[2321].start |
12924.76221875 |
transcript.pyannote[2321].end |
12924.79596875 |
transcript.pyannote[2322].speaker |
SPEAKER_09 |
transcript.pyannote[2322].start |
12924.79596875 |
transcript.pyannote[2322].end |
12925.57221875 |
transcript.pyannote[2323].speaker |
SPEAKER_17 |
transcript.pyannote[2323].start |
12925.57221875 |
transcript.pyannote[2323].end |
12925.60596875 |
transcript.pyannote[2324].speaker |
SPEAKER_17 |
transcript.pyannote[2324].start |
12926.02784375 |
transcript.pyannote[2324].end |
12926.04471875 |
transcript.pyannote[2325].speaker |
SPEAKER_09 |
transcript.pyannote[2325].start |
12926.04471875 |
transcript.pyannote[2325].end |
12926.51721875 |
transcript.pyannote[2326].speaker |
SPEAKER_17 |
transcript.pyannote[2326].start |
12926.51721875 |
transcript.pyannote[2326].end |
12926.53409375 |
transcript.pyannote[2327].speaker |
SPEAKER_17 |
transcript.pyannote[2327].start |
12927.09096875 |
transcript.pyannote[2327].end |
12927.96846875 |
transcript.pyannote[2328].speaker |
SPEAKER_09 |
transcript.pyannote[2328].start |
12927.10784375 |
transcript.pyannote[2328].end |
12928.67721875 |
transcript.pyannote[2329].speaker |
SPEAKER_17 |
transcript.pyannote[2329].start |
12928.47471875 |
transcript.pyannote[2329].end |
12930.56721875 |
transcript.pyannote[2330].speaker |
SPEAKER_01 |
transcript.pyannote[2330].start |
12931.54596875 |
transcript.pyannote[2330].end |
12931.79909375 |
transcript.pyannote[2331].speaker |
SPEAKER_09 |
transcript.pyannote[2331].start |
12931.79909375 |
transcript.pyannote[2331].end |
12932.06909375 |
transcript.pyannote[2332].speaker |
SPEAKER_01 |
transcript.pyannote[2332].start |
12932.06909375 |
transcript.pyannote[2332].end |
12932.38971875 |
transcript.pyannote[2333].speaker |
SPEAKER_17 |
transcript.pyannote[2333].start |
12932.38971875 |
transcript.pyannote[2333].end |
12940.40534375 |
transcript.pyannote[2334].speaker |
SPEAKER_09 |
transcript.pyannote[2334].start |
12940.89471875 |
transcript.pyannote[2334].end |
12948.03284375 |
transcript.pyannote[2335].speaker |
SPEAKER_17 |
transcript.pyannote[2335].start |
12943.49346875 |
transcript.pyannote[2335].end |
12943.96596875 |
transcript.pyannote[2336].speaker |
SPEAKER_07 |
transcript.pyannote[2336].start |
12943.96596875 |
transcript.pyannote[2336].end |
12943.98284375 |
transcript.pyannote[2337].speaker |
SPEAKER_17 |
transcript.pyannote[2337].start |
12943.98284375 |
transcript.pyannote[2337].end |
12945.18096875 |
transcript.pyannote[2338].speaker |
SPEAKER_17 |
transcript.pyannote[2338].start |
12948.03284375 |
transcript.pyannote[2338].end |
12949.07909375 |
transcript.pyannote[2339].speaker |
SPEAKER_09 |
transcript.pyannote[2339].start |
12948.37034375 |
transcript.pyannote[2339].end |
12949.06221875 |
transcript.pyannote[2340].speaker |
SPEAKER_09 |
transcript.pyannote[2340].start |
12949.07909375 |
transcript.pyannote[2340].end |
12949.33221875 |
transcript.pyannote[2341].speaker |
SPEAKER_17 |
transcript.pyannote[2341].start |
12949.33221875 |
transcript.pyannote[2341].end |
12967.86096875 |
transcript.pyannote[2342].speaker |
SPEAKER_09 |
transcript.pyannote[2342].start |
12968.06346875 |
transcript.pyannote[2342].end |
12973.49721875 |
transcript.pyannote[2343].speaker |
SPEAKER_17 |
transcript.pyannote[2343].start |
12972.41721875 |
transcript.pyannote[2343].end |
12973.68284375 |
transcript.pyannote[2344].speaker |
SPEAKER_17 |
transcript.pyannote[2344].start |
12973.71659375 |
transcript.pyannote[2344].end |
12973.73346875 |
transcript.pyannote[2345].speaker |
SPEAKER_09 |
transcript.pyannote[2345].start |
12973.73346875 |
transcript.pyannote[2345].end |
12973.88534375 |
transcript.pyannote[2346].speaker |
SPEAKER_17 |
transcript.pyannote[2346].start |
12973.88534375 |
transcript.pyannote[2346].end |
12974.08784375 |
transcript.pyannote[2347].speaker |
SPEAKER_09 |
transcript.pyannote[2347].start |
12974.08784375 |
transcript.pyannote[2347].end |
12974.22284375 |
transcript.pyannote[2348].speaker |
SPEAKER_17 |
transcript.pyannote[2348].start |
12974.22284375 |
transcript.pyannote[2348].end |
12974.27346875 |
transcript.pyannote[2349].speaker |
SPEAKER_09 |
transcript.pyannote[2349].start |
12974.27346875 |
transcript.pyannote[2349].end |
12974.56034375 |
transcript.pyannote[2350].speaker |
SPEAKER_17 |
transcript.pyannote[2350].start |
12974.56034375 |
transcript.pyannote[2350].end |
12987.53721875 |
transcript.pyannote[2351].speaker |
SPEAKER_09 |
transcript.pyannote[2351].start |
12976.97346875 |
transcript.pyannote[2351].end |
12977.15909375 |
transcript.pyannote[2352].speaker |
SPEAKER_09 |
transcript.pyannote[2352].start |
12977.73284375 |
transcript.pyannote[2352].end |
12978.00284375 |
transcript.pyannote[2353].speaker |
SPEAKER_09 |
transcript.pyannote[2353].start |
12982.77846875 |
transcript.pyannote[2353].end |
12983.48721875 |
transcript.pyannote[2354].speaker |
SPEAKER_09 |
transcript.pyannote[2354].start |
12987.53721875 |
transcript.pyannote[2354].end |
12987.63846875 |
transcript.pyannote[2355].speaker |
SPEAKER_17 |
transcript.pyannote[2355].start |
12987.63846875 |
transcript.pyannote[2355].end |
12987.85784375 |
transcript.pyannote[2356].speaker |
SPEAKER_09 |
transcript.pyannote[2356].start |
12987.85784375 |
transcript.pyannote[2356].end |
12987.87471875 |
transcript.pyannote[2357].speaker |
SPEAKER_17 |
transcript.pyannote[2357].start |
12987.87471875 |
transcript.pyannote[2357].end |
12987.89159375 |
transcript.pyannote[2358].speaker |
SPEAKER_09 |
transcript.pyannote[2358].start |
12987.89159375 |
transcript.pyannote[2358].end |
12992.43096875 |
transcript.pyannote[2359].speaker |
SPEAKER_17 |
transcript.pyannote[2359].start |
12990.64221875 |
transcript.pyannote[2359].end |
13005.12096875 |
transcript.pyannote[2360].speaker |
SPEAKER_09 |
transcript.pyannote[2360].start |
12995.63721875 |
transcript.pyannote[2360].end |
12996.56534375 |
transcript.pyannote[2361].speaker |
SPEAKER_23 |
transcript.pyannote[2361].start |
12996.56534375 |
transcript.pyannote[2361].end |
12996.63284375 |
transcript.pyannote[2362].speaker |
SPEAKER_09 |
transcript.pyannote[2362].start |
12996.63284375 |
transcript.pyannote[2362].end |
12996.66659375 |
transcript.pyannote[2363].speaker |
SPEAKER_23 |
transcript.pyannote[2363].start |
12996.66659375 |
transcript.pyannote[2363].end |
12996.86909375 |
transcript.pyannote[2364].speaker |
SPEAKER_09 |
transcript.pyannote[2364].start |
12996.86909375 |
transcript.pyannote[2364].end |
12998.05034375 |
transcript.pyannote[2365].speaker |
SPEAKER_01 |
transcript.pyannote[2365].start |
12998.05034375 |
transcript.pyannote[2365].end |
12998.08409375 |
transcript.pyannote[2366].speaker |
SPEAKER_17 |
transcript.pyannote[2366].start |
13005.57659375 |
transcript.pyannote[2366].end |
13007.66909375 |
transcript.pyannote[2367].speaker |
SPEAKER_17 |
transcript.pyannote[2367].start |
13008.15846875 |
transcript.pyannote[2367].end |
13020.42659375 |
transcript.pyannote[2368].speaker |
SPEAKER_01 |
transcript.pyannote[2368].start |
13008.19221875 |
transcript.pyannote[2368].end |
13010.26784375 |
transcript.pyannote[2369].speaker |
SPEAKER_17 |
transcript.pyannote[2369].start |
13020.79784375 |
transcript.pyannote[2369].end |
13030.88909375 |
transcript.pyannote[2370].speaker |
SPEAKER_17 |
transcript.pyannote[2370].start |
13031.37846875 |
transcript.pyannote[2370].end |
13034.29784375 |
transcript.pyannote[2371].speaker |
SPEAKER_17 |
transcript.pyannote[2371].start |
13035.05721875 |
transcript.pyannote[2371].end |
13040.96346875 |
transcript.pyannote[2372].speaker |
SPEAKER_09 |
transcript.pyannote[2372].start |
13035.47909375 |
transcript.pyannote[2372].end |
13036.39034375 |
transcript.pyannote[2373].speaker |
SPEAKER_09 |
transcript.pyannote[2373].start |
13039.39409375 |
transcript.pyannote[2373].end |
13040.00159375 |
transcript.pyannote[2374].speaker |
SPEAKER_09 |
transcript.pyannote[2374].start |
13040.96346875 |
transcript.pyannote[2374].end |
13041.65534375 |
transcript.pyannote[2375].speaker |
SPEAKER_17 |
transcript.pyannote[2375].start |
13041.65534375 |
transcript.pyannote[2375].end |
13041.67221875 |
transcript.pyannote[2376].speaker |
SPEAKER_17 |
transcript.pyannote[2376].start |
13042.49909375 |
transcript.pyannote[2376].end |
13042.51596875 |
transcript.pyannote[2377].speaker |
SPEAKER_09 |
transcript.pyannote[2377].start |
13042.51596875 |
transcript.pyannote[2377].end |
13058.39534375 |
transcript.pyannote[2378].speaker |
SPEAKER_17 |
transcript.pyannote[2378].start |
13055.66159375 |
transcript.pyannote[2378].end |
13057.29846875 |
transcript.pyannote[2379].speaker |
SPEAKER_17 |
transcript.pyannote[2379].start |
13057.95659375 |
transcript.pyannote[2379].end |
13060.74096875 |
transcript.pyannote[2380].speaker |
SPEAKER_17 |
transcript.pyannote[2380].start |
13061.23034375 |
transcript.pyannote[2380].end |
13061.97284375 |
transcript.pyannote[2381].speaker |
SPEAKER_09 |
transcript.pyannote[2381].start |
13061.97284375 |
transcript.pyannote[2381].end |
13068.03096875 |
transcript.pyannote[2382].speaker |
SPEAKER_17 |
transcript.pyannote[2382].start |
13068.03096875 |
transcript.pyannote[2382].end |
13074.54471875 |
transcript.pyannote[2383].speaker |
SPEAKER_17 |
transcript.pyannote[2383].start |
13074.66284375 |
transcript.pyannote[2383].end |
13074.69659375 |
transcript.pyannote[2384].speaker |
SPEAKER_09 |
transcript.pyannote[2384].start |
13074.69659375 |
transcript.pyannote[2384].end |
13083.70784375 |
transcript.pyannote[2385].speaker |
SPEAKER_09 |
transcript.pyannote[2385].start |
13083.87659375 |
transcript.pyannote[2385].end |
13088.51721875 |
transcript.pyannote[2386].speaker |
SPEAKER_09 |
transcript.pyannote[2386].start |
13088.58471875 |
transcript.pyannote[2386].end |
13091.35221875 |
transcript.pyannote[2387].speaker |
SPEAKER_09 |
transcript.pyannote[2387].start |
13091.52096875 |
transcript.pyannote[2387].end |
13109.32409375 |
transcript.pyannote[2388].speaker |
SPEAKER_17 |
transcript.pyannote[2388].start |
13099.45221875 |
transcript.pyannote[2388].end |
13100.93721875 |
transcript.pyannote[2389].speaker |
SPEAKER_17 |
transcript.pyannote[2389].start |
13102.55721875 |
transcript.pyannote[2389].end |
13102.74284375 |
transcript.pyannote[2390].speaker |
SPEAKER_17 |
transcript.pyannote[2390].start |
13105.22346875 |
transcript.pyannote[2390].end |
13105.27409375 |
transcript.pyannote[2391].speaker |
SPEAKER_24 |
transcript.pyannote[2391].start |
13105.27409375 |
transcript.pyannote[2391].end |
13105.44284375 |
transcript.pyannote[2392].speaker |
SPEAKER_17 |
transcript.pyannote[2392].start |
13105.44284375 |
transcript.pyannote[2392].end |
13105.61159375 |
transcript.pyannote[2393].speaker |
SPEAKER_17 |
transcript.pyannote[2393].start |
13106.28659375 |
transcript.pyannote[2393].end |
13106.35409375 |
transcript.pyannote[2394].speaker |
SPEAKER_24 |
transcript.pyannote[2394].start |
13106.35409375 |
transcript.pyannote[2394].end |
13106.40471875 |
transcript.pyannote[2395].speaker |
SPEAKER_17 |
transcript.pyannote[2395].start |
13106.48909375 |
transcript.pyannote[2395].end |
13106.55659375 |
transcript.pyannote[2396].speaker |
SPEAKER_17 |
transcript.pyannote[2396].start |
13109.32409375 |
transcript.pyannote[2396].end |
13111.26471875 |
transcript.pyannote[2397].speaker |
SPEAKER_17 |
transcript.pyannote[2397].start |
13111.72034375 |
transcript.pyannote[2397].end |
13120.96784375 |
transcript.pyannote[2398].speaker |
SPEAKER_09 |
transcript.pyannote[2398].start |
13120.96784375 |
transcript.pyannote[2398].end |
13121.84534375 |
transcript.pyannote[2399].speaker |
SPEAKER_17 |
transcript.pyannote[2399].start |
13121.84534375 |
transcript.pyannote[2399].end |
13121.96346875 |
transcript.pyannote[2400].speaker |
SPEAKER_09 |
transcript.pyannote[2400].start |
13121.96346875 |
transcript.pyannote[2400].end |
13126.19909375 |
transcript.pyannote[2401].speaker |
SPEAKER_17 |
transcript.pyannote[2401].start |
13122.75659375 |
transcript.pyannote[2401].end |
13123.17846875 |
transcript.pyannote[2402].speaker |
SPEAKER_10 |
transcript.pyannote[2402].start |
13127.00909375 |
transcript.pyannote[2402].end |
13128.73034375 |
transcript.pyannote[2403].speaker |
SPEAKER_10 |
transcript.pyannote[2403].start |
13128.96659375 |
transcript.pyannote[2403].end |
13131.56534375 |
transcript.pyannote[2404].speaker |
SPEAKER_10 |
transcript.pyannote[2404].start |
13139.63159375 |
transcript.pyannote[2404].end |
13148.10284375 |
transcript.pyannote[2405].speaker |
SPEAKER_10 |
transcript.pyannote[2405].start |
13149.94221875 |
transcript.pyannote[2405].end |
13150.54971875 |
transcript.pyannote[2406].speaker |
SPEAKER_10 |
transcript.pyannote[2406].start |
13150.87034375 |
transcript.pyannote[2406].end |
13150.97159375 |
transcript.pyannote[2407].speaker |
SPEAKER_09 |
transcript.pyannote[2407].start |
13150.97159375 |
transcript.pyannote[2407].end |
13152.28784375 |
transcript.pyannote[2408].speaker |
SPEAKER_09 |
transcript.pyannote[2408].start |
13153.28346875 |
transcript.pyannote[2408].end |
13155.86534375 |
transcript.pyannote[2409].speaker |
SPEAKER_09 |
transcript.pyannote[2409].start |
13156.47284375 |
transcript.pyannote[2409].end |
13161.38346875 |
transcript.pyannote[2410].speaker |
SPEAKER_09 |
transcript.pyannote[2410].start |
13162.07534375 |
transcript.pyannote[2410].end |
13167.32346875 |
transcript.pyannote[2411].speaker |
SPEAKER_09 |
transcript.pyannote[2411].start |
13167.86346875 |
transcript.pyannote[2411].end |
13215.13034375 |
transcript.pyannote[2412].speaker |
SPEAKER_09 |
transcript.pyannote[2412].start |
13215.56909375 |
transcript.pyannote[2412].end |
13234.48596875 |
transcript.pyannote[2413].speaker |
SPEAKER_09 |
transcript.pyannote[2413].start |
13237.11846875 |
transcript.pyannote[2413].end |
13237.33784375 |
transcript.pyannote[2414].speaker |
SPEAKER_09 |
transcript.pyannote[2414].start |
13237.62471875 |
transcript.pyannote[2414].end |
13265.60346875 |
transcript.pyannote[2415].speaker |
SPEAKER_09 |
transcript.pyannote[2415].start |
13266.46409375 |
transcript.pyannote[2415].end |
13299.82596875 |
transcript.pyannote[2416].speaker |
SPEAKER_09 |
transcript.pyannote[2416].start |
13300.61909375 |
transcript.pyannote[2416].end |
13303.58909375 |
transcript.pyannote[2417].speaker |
SPEAKER_09 |
transcript.pyannote[2417].start |
13305.42846875 |
transcript.pyannote[2417].end |
13305.63096875 |
transcript.pyannote[2418].speaker |
SPEAKER_09 |
transcript.pyannote[2418].start |
13305.76596875 |
transcript.pyannote[2418].end |
13337.42346875 |
transcript.pyannote[2419].speaker |
SPEAKER_00 |
transcript.pyannote[2419].start |
13307.89221875 |
transcript.pyannote[2419].end |
13309.88346875 |
transcript.pyannote[2420].speaker |
SPEAKER_00 |
transcript.pyannote[2420].start |
13315.63784375 |
transcript.pyannote[2420].end |
13316.14409375 |
transcript.pyannote[2421].speaker |
SPEAKER_24 |
transcript.pyannote[2421].start |
13319.24909375 |
transcript.pyannote[2421].end |
13320.91971875 |
transcript.pyannote[2422].speaker |
SPEAKER_00 |
transcript.pyannote[2422].start |
13320.91971875 |
transcript.pyannote[2422].end |
13321.02096875 |
transcript.pyannote[2423].speaker |
SPEAKER_00 |
transcript.pyannote[2423].start |
13323.53534375 |
transcript.pyannote[2423].end |
13323.87284375 |
transcript.pyannote[2424].speaker |
SPEAKER_09 |
transcript.pyannote[2424].start |
13337.96346875 |
transcript.pyannote[2424].end |
13400.90721875 |
transcript.pyannote[2425].speaker |
SPEAKER_00 |
transcript.pyannote[2425].start |
13404.51846875 |
transcript.pyannote[2425].end |
13411.35284375 |
transcript.pyannote[2426].speaker |
SPEAKER_09 |
transcript.pyannote[2426].start |
13410.89721875 |
transcript.pyannote[2426].end |
13424.21159375 |
transcript.pyannote[2427].speaker |
SPEAKER_00 |
transcript.pyannote[2427].start |
13411.67346875 |
transcript.pyannote[2427].end |
13412.29784375 |
transcript.pyannote[2428].speaker |
SPEAKER_00 |
transcript.pyannote[2428].start |
13413.44534375 |
transcript.pyannote[2428].end |
13413.58034375 |
transcript.pyannote[2429].speaker |
SPEAKER_00 |
transcript.pyannote[2429].start |
13414.69409375 |
transcript.pyannote[2429].end |
13415.20034375 |
transcript.pyannote[2430].speaker |
SPEAKER_00 |
transcript.pyannote[2430].start |
13424.27909375 |
transcript.pyannote[2430].end |
13425.83159375 |
transcript.pyannote[2431].speaker |
SPEAKER_09 |
transcript.pyannote[2431].start |
13425.66284375 |
transcript.pyannote[2431].end |
13439.11221875 |
transcript.pyannote[2432].speaker |
SPEAKER_09 |
transcript.pyannote[2432].start |
13439.36534375 |
transcript.pyannote[2432].end |
13531.26659375 |
transcript.pyannote[2433].speaker |
SPEAKER_06 |
transcript.pyannote[2433].start |
13467.41159375 |
transcript.pyannote[2433].end |
13467.59721875 |
transcript.pyannote[2434].speaker |
SPEAKER_09 |
transcript.pyannote[2434].start |
13532.53221875 |
transcript.pyannote[2434].end |
13554.68909375 |
transcript.pyannote[2435].speaker |
SPEAKER_01 |
transcript.pyannote[2435].start |
13539.45096875 |
transcript.pyannote[2435].end |
13541.52659375 |
transcript.pyannote[2436].speaker |
SPEAKER_09 |
transcript.pyannote[2436].start |
13555.27971875 |
transcript.pyannote[2436].end |
13583.03909375 |
transcript.pyannote[2437].speaker |
SPEAKER_06 |
transcript.pyannote[2437].start |
13583.03909375 |
transcript.pyannote[2437].end |
13597.97346875 |
transcript.pyannote[2438].speaker |
SPEAKER_09 |
transcript.pyannote[2438].start |
13597.97346875 |
transcript.pyannote[2438].end |
13618.02096875 |
transcript.pyannote[2439].speaker |
SPEAKER_00 |
transcript.pyannote[2439].start |
13609.60034375 |
transcript.pyannote[2439].end |
13609.65096875 |
transcript.pyannote[2440].speaker |
SPEAKER_04 |
transcript.pyannote[2440].start |
13609.65096875 |
transcript.pyannote[2440].end |
13609.76909375 |
transcript.pyannote[2441].speaker |
SPEAKER_01 |
transcript.pyannote[2441].start |
13609.76909375 |
transcript.pyannote[2441].end |
13609.97159375 |
transcript.pyannote[2442].speaker |
SPEAKER_04 |
transcript.pyannote[2442].start |
13609.97159375 |
transcript.pyannote[2442].end |
13610.14034375 |
transcript.pyannote[2443].speaker |
SPEAKER_00 |
transcript.pyannote[2443].start |
13610.14034375 |
transcript.pyannote[2443].end |
13610.17409375 |
transcript.pyannote[2444].speaker |
SPEAKER_00 |
transcript.pyannote[2444].start |
13610.95034375 |
transcript.pyannote[2444].end |
13610.96721875 |
transcript.pyannote[2445].speaker |
SPEAKER_04 |
transcript.pyannote[2445].start |
13610.96721875 |
transcript.pyannote[2445].end |
13611.45659375 |
transcript.pyannote[2446].speaker |
SPEAKER_08 |
transcript.pyannote[2446].start |
13615.40534375 |
transcript.pyannote[2446].end |
13616.35034375 |
transcript.pyannote[2447].speaker |
SPEAKER_08 |
transcript.pyannote[2447].start |
13617.24471875 |
transcript.pyannote[2447].end |
13617.97034375 |
transcript.pyannote[2448].speaker |
SPEAKER_08 |
transcript.pyannote[2448].start |
13618.02096875 |
transcript.pyannote[2448].end |
13618.42596875 |
transcript.pyannote[2449].speaker |
SPEAKER_09 |
transcript.pyannote[2449].start |
13618.42596875 |
transcript.pyannote[2449].end |
13618.45971875 |
transcript.pyannote[2450].speaker |
SPEAKER_09 |
transcript.pyannote[2450].start |
13619.08409375 |
transcript.pyannote[2450].end |
13621.02471875 |
transcript.pyannote[2451].speaker |
SPEAKER_10 |
transcript.pyannote[2451].start |
13621.02471875 |
transcript.pyannote[2451].end |
13627.67346875 |
transcript.pyannote[2452].speaker |
SPEAKER_08 |
transcript.pyannote[2452].start |
13623.01596875 |
transcript.pyannote[2452].end |
13623.04971875 |
transcript.pyannote[2453].speaker |
SPEAKER_06 |
transcript.pyannote[2453].start |
13623.04971875 |
transcript.pyannote[2453].end |
13623.58971875 |
transcript.pyannote[2454].speaker |
SPEAKER_08 |
transcript.pyannote[2454].start |
13623.58971875 |
transcript.pyannote[2454].end |
13623.64034375 |
transcript.pyannote[2455].speaker |
SPEAKER_10 |
transcript.pyannote[2455].start |
13633.84971875 |
transcript.pyannote[2455].end |
13635.41909375 |
transcript.pyannote[2456].speaker |
SPEAKER_10 |
transcript.pyannote[2456].start |
13635.73971875 |
transcript.pyannote[2456].end |
13636.87034375 |
transcript.pyannote[2457].speaker |
SPEAKER_10 |
transcript.pyannote[2457].start |
13637.20784375 |
transcript.pyannote[2457].end |
13638.92909375 |
transcript.pyannote[2458].speaker |
SPEAKER_10 |
transcript.pyannote[2458].start |
13639.45221875 |
transcript.pyannote[2458].end |
13640.81909375 |
transcript.pyannote[2459].speaker |
SPEAKER_10 |
transcript.pyannote[2459].start |
13641.74721875 |
transcript.pyannote[2459].end |
13642.94534375 |
transcript.pyannote[2460].speaker |
SPEAKER_10 |
transcript.pyannote[2460].start |
13642.96221875 |
transcript.pyannote[2460].end |
13643.01284375 |
transcript.pyannote[2461].speaker |
SPEAKER_10 |
transcript.pyannote[2461].start |
13643.26596875 |
transcript.pyannote[2461].end |
13644.34596875 |
transcript.pyannote[2462].speaker |
SPEAKER_07 |
transcript.pyannote[2462].start |
13643.36721875 |
transcript.pyannote[2462].end |
13644.04221875 |
transcript.pyannote[2463].speaker |
SPEAKER_07 |
transcript.pyannote[2463].start |
13645.13909375 |
transcript.pyannote[2463].end |
13645.54409375 |
transcript.pyannote[2464].speaker |
SPEAKER_07 |
transcript.pyannote[2464].start |
13646.01659375 |
transcript.pyannote[2464].end |
13651.60221875 |
transcript.pyannote[2465].speaker |
SPEAKER_07 |
transcript.pyannote[2465].start |
13651.75409375 |
transcript.pyannote[2465].end |
13652.59784375 |
transcript.pyannote[2466].speaker |
SPEAKER_07 |
transcript.pyannote[2466].start |
13652.90159375 |
transcript.pyannote[2466].end |
13658.48721875 |
transcript.pyannote[2467].speaker |
SPEAKER_07 |
transcript.pyannote[2467].start |
13658.89221875 |
transcript.pyannote[2467].end |
13665.50721875 |
transcript.pyannote[2468].speaker |
SPEAKER_07 |
transcript.pyannote[2468].start |
13665.74346875 |
transcript.pyannote[2468].end |
13673.05034375 |
transcript.pyannote[2469].speaker |
SPEAKER_07 |
transcript.pyannote[2469].start |
13673.35409375 |
transcript.pyannote[2469].end |
13689.04784375 |
transcript.pyannote[2470].speaker |
SPEAKER_07 |
transcript.pyannote[2470].start |
13689.58784375 |
transcript.pyannote[2470].end |
13696.05096875 |
transcript.pyannote[2471].speaker |
SPEAKER_07 |
transcript.pyannote[2471].start |
13696.60784375 |
transcript.pyannote[2471].end |
13702.85159375 |
transcript.pyannote[2472].speaker |
SPEAKER_07 |
transcript.pyannote[2472].start |
13703.81346875 |
transcript.pyannote[2472].end |
13723.11846875 |
transcript.pyannote[2473].speaker |
SPEAKER_07 |
transcript.pyannote[2473].start |
13726.59471875 |
transcript.pyannote[2473].end |
13726.96596875 |
transcript.pyannote[2474].speaker |
SPEAKER_24 |
transcript.pyannote[2474].start |
13726.96596875 |
transcript.pyannote[2474].end |
13727.03346875 |
transcript.pyannote[2475].speaker |
SPEAKER_09 |
transcript.pyannote[2475].start |
13727.03346875 |
transcript.pyannote[2475].end |
13727.35409375 |
transcript.pyannote[2476].speaker |
SPEAKER_02 |
transcript.pyannote[2476].start |
13727.35409375 |
transcript.pyannote[2476].end |
13727.37096875 |
transcript.pyannote[2477].speaker |
SPEAKER_09 |
transcript.pyannote[2477].start |
13727.37096875 |
transcript.pyannote[2477].end |
13727.38784375 |
transcript.pyannote[2478].speaker |
SPEAKER_02 |
transcript.pyannote[2478].start |
13727.38784375 |
transcript.pyannote[2478].end |
13727.55659375 |
transcript.pyannote[2479].speaker |
SPEAKER_09 |
transcript.pyannote[2479].start |
13727.55659375 |
transcript.pyannote[2479].end |
13727.77596875 |
transcript.pyannote[2480].speaker |
SPEAKER_07 |
transcript.pyannote[2480].start |
13727.77596875 |
transcript.pyannote[2480].end |
13727.97846875 |
transcript.pyannote[2481].speaker |
SPEAKER_09 |
transcript.pyannote[2481].start |
13727.97846875 |
transcript.pyannote[2481].end |
13728.38346875 |
transcript.pyannote[2482].speaker |
SPEAKER_02 |
transcript.pyannote[2482].start |
13729.34534375 |
transcript.pyannote[2482].end |
13738.05284375 |
transcript.pyannote[2483].speaker |
SPEAKER_24 |
transcript.pyannote[2483].start |
13736.95596875 |
transcript.pyannote[2483].end |
13739.36909375 |
transcript.pyannote[2484].speaker |
SPEAKER_02 |
transcript.pyannote[2484].start |
13738.30596875 |
transcript.pyannote[2484].end |
13739.89221875 |
transcript.pyannote[2485].speaker |
SPEAKER_24 |
transcript.pyannote[2485].start |
13739.89221875 |
transcript.pyannote[2485].end |
13743.36846875 |
transcript.pyannote[2486].speaker |
SPEAKER_24 |
transcript.pyannote[2486].start |
13743.90846875 |
transcript.pyannote[2486].end |
13744.51596875 |
transcript.pyannote[2487].speaker |
SPEAKER_02 |
transcript.pyannote[2487].start |
13744.66784375 |
transcript.pyannote[2487].end |
13747.95846875 |
transcript.pyannote[2488].speaker |
SPEAKER_24 |
transcript.pyannote[2488].start |
13745.47784375 |
transcript.pyannote[2488].end |
13747.72221875 |
transcript.pyannote[2489].speaker |
SPEAKER_02 |
transcript.pyannote[2489].start |
13747.97534375 |
transcript.pyannote[2489].end |
13755.70409375 |
transcript.pyannote[2490].speaker |
SPEAKER_07 |
transcript.pyannote[2490].start |
13754.64096875 |
transcript.pyannote[2490].end |
13754.96159375 |
transcript.pyannote[2491].speaker |
SPEAKER_02 |
transcript.pyannote[2491].start |
13755.97409375 |
transcript.pyannote[2491].end |
13757.45909375 |
transcript.pyannote[2492].speaker |
SPEAKER_07 |
transcript.pyannote[2492].start |
13756.96971875 |
transcript.pyannote[2492].end |
13757.79659375 |
transcript.pyannote[2493].speaker |
SPEAKER_02 |
transcript.pyannote[2493].start |
13758.11721875 |
transcript.pyannote[2493].end |
13762.84221875 |
transcript.pyannote[2494].speaker |
SPEAKER_07 |
transcript.pyannote[2494].start |
13761.50909375 |
transcript.pyannote[2494].end |
13767.65159375 |
transcript.pyannote[2495].speaker |
SPEAKER_07 |
transcript.pyannote[2495].start |
13768.54596875 |
transcript.pyannote[2495].end |
13769.18721875 |
transcript.pyannote[2496].speaker |
SPEAKER_02 |
transcript.pyannote[2496].start |
13769.40659375 |
transcript.pyannote[2496].end |
13772.96721875 |
transcript.pyannote[2497].speaker |
SPEAKER_07 |
transcript.pyannote[2497].start |
13772.83221875 |
transcript.pyannote[2497].end |
13773.64221875 |
transcript.pyannote[2498].speaker |
SPEAKER_02 |
transcript.pyannote[2498].start |
13773.64221875 |
transcript.pyannote[2498].end |
13774.28346875 |
transcript.pyannote[2499].speaker |
SPEAKER_07 |
transcript.pyannote[2499].start |
13774.11471875 |
transcript.pyannote[2499].end |
13784.83034375 |
transcript.pyannote[2500].speaker |
SPEAKER_07 |
transcript.pyannote[2500].start |
13784.96534375 |
transcript.pyannote[2500].end |
13785.99471875 |
transcript.pyannote[2501].speaker |
SPEAKER_07 |
transcript.pyannote[2501].start |
13786.50096875 |
transcript.pyannote[2501].end |
13791.07409375 |
transcript.pyannote[2502].speaker |
SPEAKER_07 |
transcript.pyannote[2502].start |
13791.49596875 |
transcript.pyannote[2502].end |
13793.26784375 |
transcript.pyannote[2503].speaker |
SPEAKER_07 |
transcript.pyannote[2503].start |
13793.53784375 |
transcript.pyannote[2503].end |
13793.57159375 |
transcript.pyannote[2504].speaker |
SPEAKER_07 |
transcript.pyannote[2504].start |
13793.75721875 |
transcript.pyannote[2504].end |
13793.95971875 |
transcript.pyannote[2505].speaker |
SPEAKER_07 |
transcript.pyannote[2505].start |
13794.17909375 |
transcript.pyannote[2505].end |
13794.95534375 |
transcript.pyannote[2506].speaker |
SPEAKER_07 |
transcript.pyannote[2506].start |
13795.15784375 |
transcript.pyannote[2506].end |
13819.37346875 |
transcript.pyannote[2507].speaker |
SPEAKER_01 |
transcript.pyannote[2507].start |
13821.55034375 |
transcript.pyannote[2507].end |
13821.56721875 |
transcript.pyannote[2508].speaker |
SPEAKER_07 |
transcript.pyannote[2508].start |
13821.56721875 |
transcript.pyannote[2508].end |
13827.55784375 |
transcript.pyannote[2509].speaker |
SPEAKER_02 |
transcript.pyannote[2509].start |
13821.58409375 |
transcript.pyannote[2509].end |
13823.81159375 |
transcript.pyannote[2510].speaker |
SPEAKER_02 |
transcript.pyannote[2510].start |
13825.90409375 |
transcript.pyannote[2510].end |
13833.16034375 |
transcript.pyannote[2511].speaker |
SPEAKER_07 |
transcript.pyannote[2511].start |
13832.83971875 |
transcript.pyannote[2511].end |
13833.14346875 |
transcript.pyannote[2512].speaker |
SPEAKER_07 |
transcript.pyannote[2512].start |
13833.16034375 |
transcript.pyannote[2512].end |
13834.96596875 |
transcript.pyannote[2513].speaker |
SPEAKER_02 |
transcript.pyannote[2513].start |
13834.96596875 |
transcript.pyannote[2513].end |
13843.13346875 |
transcript.pyannote[2514].speaker |
SPEAKER_07 |
transcript.pyannote[2514].start |
13839.96096875 |
transcript.pyannote[2514].end |
13840.34909375 |
transcript.pyannote[2515].speaker |
SPEAKER_07 |
transcript.pyannote[2515].start |
13842.94784375 |
transcript.pyannote[2515].end |
13856.63346875 |
transcript.pyannote[2516].speaker |
SPEAKER_02 |
transcript.pyannote[2516].start |
13847.35221875 |
transcript.pyannote[2516].end |
13847.50409375 |
transcript.pyannote[2517].speaker |
SPEAKER_02 |
transcript.pyannote[2517].start |
13847.60534375 |
transcript.pyannote[2517].end |
13847.65596875 |
transcript.pyannote[2518].speaker |
SPEAKER_02 |
transcript.pyannote[2518].start |
13848.14534375 |
transcript.pyannote[2518].end |
13849.00596875 |
transcript.pyannote[2519].speaker |
SPEAKER_17 |
transcript.pyannote[2519].start |
13849.00596875 |
transcript.pyannote[2519].end |
13849.09034375 |
transcript.pyannote[2520].speaker |
SPEAKER_07 |
transcript.pyannote[2520].start |
13857.32534375 |
transcript.pyannote[2520].end |
13868.51346875 |
transcript.pyannote[2521].speaker |
SPEAKER_07 |
transcript.pyannote[2521].start |
13869.07034375 |
transcript.pyannote[2521].end |
13871.98971875 |
transcript.pyannote[2522].speaker |
SPEAKER_07 |
transcript.pyannote[2522].start |
13872.79971875 |
transcript.pyannote[2522].end |
13876.39409375 |
transcript.pyannote[2523].speaker |
SPEAKER_07 |
transcript.pyannote[2523].start |
13876.98471875 |
transcript.pyannote[2523].end |
13884.29159375 |
transcript.pyannote[2524].speaker |
SPEAKER_07 |
transcript.pyannote[2524].start |
13884.66284375 |
transcript.pyannote[2524].end |
13886.23221875 |
transcript.pyannote[2525].speaker |
SPEAKER_24 |
transcript.pyannote[2525].start |
13886.23221875 |
transcript.pyannote[2525].end |
13886.36721875 |
transcript.pyannote[2526].speaker |
SPEAKER_07 |
transcript.pyannote[2526].start |
13886.36721875 |
transcript.pyannote[2526].end |
13889.75909375 |
transcript.pyannote[2527].speaker |
SPEAKER_24 |
transcript.pyannote[2527].start |
13886.38409375 |
transcript.pyannote[2527].end |
13886.46846875 |
transcript.pyannote[2528].speaker |
SPEAKER_07 |
transcript.pyannote[2528].start |
13889.97846875 |
transcript.pyannote[2528].end |
13893.74159375 |
transcript.pyannote[2529].speaker |
SPEAKER_17 |
transcript.pyannote[2529].start |
13894.21409375 |
transcript.pyannote[2529].end |
13895.91846875 |
transcript.pyannote[2530].speaker |
SPEAKER_07 |
transcript.pyannote[2530].start |
13895.19284375 |
transcript.pyannote[2530].end |
13895.46284375 |
transcript.pyannote[2531].speaker |
SPEAKER_07 |
transcript.pyannote[2531].start |
13895.86784375 |
transcript.pyannote[2531].end |
13902.66846875 |
transcript.pyannote[2532].speaker |
SPEAKER_07 |
transcript.pyannote[2532].start |
13903.17471875 |
transcript.pyannote[2532].end |
13905.52034375 |
transcript.pyannote[2533].speaker |
SPEAKER_07 |
transcript.pyannote[2533].start |
13905.72284375 |
transcript.pyannote[2533].end |
13925.68596875 |
transcript.pyannote[2534].speaker |
SPEAKER_07 |
transcript.pyannote[2534].start |
13925.97284375 |
transcript.pyannote[2534].end |
13932.95909375 |
transcript.pyannote[2535].speaker |
SPEAKER_02 |
transcript.pyannote[2535].start |
13933.60034375 |
transcript.pyannote[2535].end |
13938.84846875 |
transcript.pyannote[2536].speaker |
SPEAKER_07 |
transcript.pyannote[2536].start |
13933.66784375 |
transcript.pyannote[2536].end |
13934.07284375 |
transcript.pyannote[2537].speaker |
SPEAKER_07 |
transcript.pyannote[2537].start |
13937.32971875 |
transcript.pyannote[2537].end |
13942.32471875 |
transcript.pyannote[2538].speaker |
SPEAKER_02 |
transcript.pyannote[2538].start |
13941.31221875 |
transcript.pyannote[2538].end |
13946.49284375 |
transcript.pyannote[2539].speaker |
SPEAKER_07 |
transcript.pyannote[2539].start |
13945.69971875 |
transcript.pyannote[2539].end |
13948.60221875 |
transcript.pyannote[2540].speaker |
SPEAKER_02 |
transcript.pyannote[2540].start |
13948.68659375 |
transcript.pyannote[2540].end |
13951.58909375 |
transcript.pyannote[2541].speaker |
SPEAKER_07 |
transcript.pyannote[2541].start |
13951.70721875 |
transcript.pyannote[2541].end |
13958.32221875 |
transcript.pyannote[2542].speaker |
SPEAKER_01 |
transcript.pyannote[2542].start |
13958.62596875 |
transcript.pyannote[2542].end |
13958.87909375 |
transcript.pyannote[2543].speaker |
SPEAKER_07 |
transcript.pyannote[2543].start |
13958.86221875 |
transcript.pyannote[2543].end |
13965.22409375 |
transcript.pyannote[2544].speaker |
SPEAKER_02 |
transcript.pyannote[2544].start |
13964.92034375 |
transcript.pyannote[2544].end |
13969.59471875 |
transcript.pyannote[2545].speaker |
SPEAKER_07 |
transcript.pyannote[2545].start |
13968.31221875 |
transcript.pyannote[2545].end |
13970.32034375 |
transcript.pyannote[2546].speaker |
SPEAKER_07 |
transcript.pyannote[2546].start |
13970.64096875 |
transcript.pyannote[2546].end |
13971.11346875 |
transcript.pyannote[2547].speaker |
SPEAKER_07 |
transcript.pyannote[2547].start |
13973.08784375 |
transcript.pyannote[2547].end |
13988.71409375 |
transcript.pyannote[2548].speaker |
SPEAKER_07 |
transcript.pyannote[2548].start |
13988.86596875 |
transcript.pyannote[2548].end |
13995.97034375 |
transcript.pyannote[2549].speaker |
SPEAKER_07 |
transcript.pyannote[2549].start |
13997.16846875 |
transcript.pyannote[2549].end |
14009.99346875 |
transcript.pyannote[2550].speaker |
SPEAKER_07 |
transcript.pyannote[2550].start |
14010.16221875 |
transcript.pyannote[2550].end |
14014.29659375 |
transcript.pyannote[2551].speaker |
SPEAKER_07 |
transcript.pyannote[2551].start |
14014.38096875 |
transcript.pyannote[2551].end |
14016.57471875 |
transcript.pyannote[2552].speaker |
SPEAKER_07 |
transcript.pyannote[2552].start |
14016.94596875 |
transcript.pyannote[2552].end |
14027.23971875 |
transcript.pyannote[2553].speaker |
SPEAKER_07 |
transcript.pyannote[2553].start |
14028.10034375 |
transcript.pyannote[2553].end |
14045.51534375 |
transcript.pyannote[2554].speaker |
SPEAKER_07 |
transcript.pyannote[2554].start |
14046.39284375 |
transcript.pyannote[2554].end |
14049.46409375 |
transcript.pyannote[2555].speaker |
SPEAKER_07 |
transcript.pyannote[2555].start |
14050.03784375 |
transcript.pyannote[2555].end |
14052.50159375 |
transcript.pyannote[2556].speaker |
SPEAKER_07 |
transcript.pyannote[2556].start |
14052.85596875 |
transcript.pyannote[2556].end |
14053.27784375 |
transcript.pyannote[2557].speaker |
SPEAKER_07 |
transcript.pyannote[2557].start |
14053.53096875 |
transcript.pyannote[2557].end |
14055.15096875 |
transcript.pyannote[2558].speaker |
SPEAKER_07 |
transcript.pyannote[2558].start |
14056.61909375 |
transcript.pyannote[2558].end |
14056.63596875 |
transcript.pyannote[2559].speaker |
SPEAKER_09 |
transcript.pyannote[2559].start |
14056.63596875 |
transcript.pyannote[2559].end |
14090.97659375 |
transcript.pyannote[2560].speaker |
SPEAKER_07 |
transcript.pyannote[2560].start |
14068.49909375 |
transcript.pyannote[2560].end |
14069.56221875 |
transcript.pyannote[2561].speaker |
SPEAKER_07 |
transcript.pyannote[2561].start |
14070.82784375 |
transcript.pyannote[2561].end |
14071.84034375 |
transcript.pyannote[2562].speaker |
SPEAKER_07 |
transcript.pyannote[2562].start |
14072.31284375 |
transcript.pyannote[2562].end |
14074.33784375 |
transcript.pyannote[2563].speaker |
SPEAKER_07 |
transcript.pyannote[2563].start |
14080.34534375 |
transcript.pyannote[2563].end |
14081.89784375 |
transcript.pyannote[2564].speaker |
SPEAKER_07 |
transcript.pyannote[2564].start |
14082.11721875 |
transcript.pyannote[2564].end |
14084.02409375 |
transcript.pyannote[2565].speaker |
SPEAKER_07 |
transcript.pyannote[2565].start |
14084.51346875 |
transcript.pyannote[2565].end |
14121.99284375 |
transcript.pyannote[2566].speaker |
SPEAKER_09 |
transcript.pyannote[2566].start |
14092.15784375 |
transcript.pyannote[2566].end |
14092.54596875 |
transcript.pyannote[2567].speaker |
SPEAKER_01 |
transcript.pyannote[2567].start |
14093.08596875 |
transcript.pyannote[2567].end |
14093.15346875 |
transcript.pyannote[2568].speaker |
SPEAKER_09 |
transcript.pyannote[2568].start |
14093.15346875 |
transcript.pyannote[2568].end |
14093.32221875 |
transcript.pyannote[2569].speaker |
SPEAKER_01 |
transcript.pyannote[2569].start |
14093.32221875 |
transcript.pyannote[2569].end |
14093.49096875 |
transcript.pyannote[2570].speaker |
SPEAKER_07 |
transcript.pyannote[2570].start |
14122.87034375 |
transcript.pyannote[2570].end |
14130.91971875 |
transcript.pyannote[2571].speaker |
SPEAKER_07 |
transcript.pyannote[2571].start |
14131.34159375 |
transcript.pyannote[2571].end |
14147.81159375 |
transcript.pyannote[2572].speaker |
SPEAKER_07 |
transcript.pyannote[2572].start |
14148.01409375 |
transcript.pyannote[2572].end |
14152.48596875 |
transcript.pyannote[2573].speaker |
SPEAKER_07 |
transcript.pyannote[2573].start |
14152.85721875 |
transcript.pyannote[2573].end |
14153.97096875 |
transcript.pyannote[2574].speaker |
SPEAKER_09 |
transcript.pyannote[2574].start |
14153.97096875 |
transcript.pyannote[2574].end |
14163.89346875 |
transcript.pyannote[2575].speaker |
SPEAKER_07 |
transcript.pyannote[2575].start |
14160.16409375 |
transcript.pyannote[2575].end |
14164.18034375 |
transcript.pyannote[2576].speaker |
SPEAKER_07 |
transcript.pyannote[2576].start |
14164.28159375 |
transcript.pyannote[2576].end |
14164.68659375 |
transcript.pyannote[2577].speaker |
SPEAKER_07 |
transcript.pyannote[2577].start |
14165.37846875 |
transcript.pyannote[2577].end |
14176.60034375 |
transcript.pyannote[2578].speaker |
SPEAKER_07 |
transcript.pyannote[2578].start |
14176.98846875 |
transcript.pyannote[2578].end |
14177.59596875 |
transcript.pyannote[2579].speaker |
SPEAKER_07 |
transcript.pyannote[2579].start |
14178.42284375 |
transcript.pyannote[2579].end |
14188.58159375 |
transcript.pyannote[2580].speaker |
SPEAKER_01 |
transcript.pyannote[2580].start |
14180.24534375 |
transcript.pyannote[2580].end |
14180.26221875 |
transcript.pyannote[2581].speaker |
SPEAKER_09 |
transcript.pyannote[2581].start |
14180.26221875 |
transcript.pyannote[2581].end |
14182.20284375 |
transcript.pyannote[2582].speaker |
SPEAKER_09 |
transcript.pyannote[2582].start |
14186.86034375 |
transcript.pyannote[2582].end |
14191.11284375 |
transcript.pyannote[2583].speaker |
SPEAKER_07 |
transcript.pyannote[2583].start |
14190.89346875 |
transcript.pyannote[2583].end |
14192.74971875 |
transcript.pyannote[2584].speaker |
SPEAKER_09 |
transcript.pyannote[2584].start |
14192.74971875 |
transcript.pyannote[2584].end |
14193.07034375 |
transcript.pyannote[2585].speaker |
SPEAKER_07 |
transcript.pyannote[2585].start |
14192.76659375 |
transcript.pyannote[2585].end |
14194.97721875 |
transcript.pyannote[2586].speaker |
SPEAKER_09 |
transcript.pyannote[2586].start |
14194.97721875 |
transcript.pyannote[2586].end |
14195.24721875 |
transcript.pyannote[2587].speaker |
SPEAKER_09 |
transcript.pyannote[2587].start |
14195.97284375 |
transcript.pyannote[2587].end |
14200.15784375 |
transcript.pyannote[2588].speaker |
SPEAKER_07 |
transcript.pyannote[2588].start |
14200.15784375 |
transcript.pyannote[2588].end |
14207.11034375 |
transcript.pyannote[2589].speaker |
SPEAKER_09 |
transcript.pyannote[2589].start |
14206.38471875 |
transcript.pyannote[2589].end |
14208.08909375 |
transcript.pyannote[2590].speaker |
SPEAKER_07 |
transcript.pyannote[2590].start |
14207.70096875 |
transcript.pyannote[2590].end |
14210.08034375 |
transcript.pyannote[2591].speaker |
SPEAKER_09 |
transcript.pyannote[2591].start |
14209.42221875 |
transcript.pyannote[2591].end |
14209.62471875 |
transcript.pyannote[2592].speaker |
SPEAKER_07 |
transcript.pyannote[2592].start |
14210.31659375 |
transcript.pyannote[2592].end |
14218.33221875 |
transcript.pyannote[2593].speaker |
SPEAKER_09 |
transcript.pyannote[2593].start |
14210.35034375 |
transcript.pyannote[2593].end |
14210.97471875 |
transcript.pyannote[2594].speaker |
SPEAKER_09 |
transcript.pyannote[2594].start |
14212.79721875 |
transcript.pyannote[2594].end |
14213.25284375 |
transcript.pyannote[2595].speaker |
SPEAKER_01 |
transcript.pyannote[2595].start |
14213.25284375 |
transcript.pyannote[2595].end |
14213.26971875 |
transcript.pyannote[2596].speaker |
SPEAKER_07 |
transcript.pyannote[2596].start |
14219.26034375 |
transcript.pyannote[2596].end |
14225.11596875 |
transcript.pyannote[2597].speaker |
SPEAKER_07 |
transcript.pyannote[2597].start |
14225.82471875 |
transcript.pyannote[2597].end |
14226.93846875 |
transcript.pyannote[2598].speaker |
SPEAKER_07 |
transcript.pyannote[2598].start |
14227.34346875 |
transcript.pyannote[2598].end |
14229.95909375 |
transcript.pyannote[2599].speaker |
SPEAKER_09 |
transcript.pyannote[2599].start |
14229.95909375 |
transcript.pyannote[2599].end |
14230.07721875 |
transcript.pyannote[2600].speaker |
SPEAKER_09 |
transcript.pyannote[2600].start |
14230.44846875 |
transcript.pyannote[2600].end |
14239.13909375 |
transcript.pyannote[2601].speaker |
SPEAKER_07 |
transcript.pyannote[2601].start |
14232.89534375 |
transcript.pyannote[2601].end |
14234.19471875 |
transcript.pyannote[2602].speaker |
SPEAKER_07 |
transcript.pyannote[2602].start |
14237.58659375 |
transcript.pyannote[2602].end |
14239.17284375 |
transcript.pyannote[2603].speaker |
SPEAKER_09 |
transcript.pyannote[2603].start |
14239.17284375 |
transcript.pyannote[2603].end |
14239.20659375 |
transcript.pyannote[2604].speaker |
SPEAKER_07 |
transcript.pyannote[2604].start |
14239.20659375 |
transcript.pyannote[2604].end |
14242.91909375 |
transcript.pyannote[2605].speaker |
SPEAKER_09 |
transcript.pyannote[2605].start |
14240.82659375 |
transcript.pyannote[2605].end |
14240.89409375 |
transcript.pyannote[2606].speaker |
SPEAKER_07 |
transcript.pyannote[2606].start |
14243.72909375 |
transcript.pyannote[2606].end |
14255.37284375 |
transcript.pyannote[2607].speaker |
SPEAKER_09 |
transcript.pyannote[2607].start |
14248.35284375 |
transcript.pyannote[2607].end |
14248.43721875 |
transcript.pyannote[2608].speaker |
SPEAKER_01 |
transcript.pyannote[2608].start |
14248.43721875 |
transcript.pyannote[2608].end |
14248.97721875 |
transcript.pyannote[2609].speaker |
SPEAKER_09 |
transcript.pyannote[2609].start |
14248.97721875 |
transcript.pyannote[2609].end |
14249.02784375 |
transcript.pyannote[2610].speaker |
SPEAKER_06 |
transcript.pyannote[2610].start |
14249.02784375 |
transcript.pyannote[2610].end |
14251.18784375 |
transcript.pyannote[2611].speaker |
SPEAKER_06 |
transcript.pyannote[2611].start |
14251.76159375 |
transcript.pyannote[2611].end |
14251.82909375 |
transcript.pyannote[2612].speaker |
SPEAKER_09 |
transcript.pyannote[2612].start |
14251.82909375 |
transcript.pyannote[2612].end |
14255.33909375 |
transcript.pyannote[2613].speaker |
SPEAKER_09 |
transcript.pyannote[2613].start |
14255.37284375 |
transcript.pyannote[2613].end |
14256.82409375 |
transcript.pyannote[2614].speaker |
SPEAKER_07 |
transcript.pyannote[2614].start |
14255.52471875 |
transcript.pyannote[2614].end |
14263.55721875 |
transcript.pyannote[2615].speaker |
SPEAKER_07 |
transcript.pyannote[2615].start |
14264.09721875 |
transcript.pyannote[2615].end |
14281.63034375 |
transcript.pyannote[2616].speaker |
SPEAKER_09 |
transcript.pyannote[2616].start |
14276.92221875 |
transcript.pyannote[2616].end |
14277.66471875 |
transcript.pyannote[2617].speaker |
SPEAKER_07 |
transcript.pyannote[2617].start |
14281.86659375 |
transcript.pyannote[2617].end |
14282.27159375 |
transcript.pyannote[2618].speaker |
SPEAKER_07 |
transcript.pyannote[2618].start |
14282.32221875 |
transcript.pyannote[2618].end |
14282.74409375 |
transcript.pyannote[2619].speaker |
SPEAKER_07 |
transcript.pyannote[2619].start |
14283.11534375 |
transcript.pyannote[2619].end |
14315.86971875 |
transcript.pyannote[2620].speaker |
SPEAKER_00 |
transcript.pyannote[2620].start |
14284.48221875 |
transcript.pyannote[2620].end |
14284.54971875 |
transcript.pyannote[2621].speaker |
SPEAKER_09 |
transcript.pyannote[2621].start |
14284.54971875 |
transcript.pyannote[2621].end |
14284.56659375 |
transcript.pyannote[2622].speaker |
SPEAKER_24 |
transcript.pyannote[2622].start |
14284.56659375 |
transcript.pyannote[2622].end |
14284.58346875 |
transcript.pyannote[2623].speaker |
SPEAKER_01 |
transcript.pyannote[2623].start |
14284.58346875 |
transcript.pyannote[2623].end |
14286.67596875 |
transcript.pyannote[2624].speaker |
SPEAKER_24 |
transcript.pyannote[2624].start |
14286.67596875 |
transcript.pyannote[2624].end |
14286.82784375 |
transcript.pyannote[2625].speaker |
SPEAKER_00 |
transcript.pyannote[2625].start |
14286.82784375 |
transcript.pyannote[2625].end |
14286.86159375 |
transcript.pyannote[2626].speaker |
SPEAKER_24 |
transcript.pyannote[2626].start |
14286.86159375 |
transcript.pyannote[2626].end |
14287.23284375 |
transcript.pyannote[2627].speaker |
SPEAKER_00 |
transcript.pyannote[2627].start |
14287.23284375 |
transcript.pyannote[2627].end |
14287.26659375 |
transcript.pyannote[2628].speaker |
SPEAKER_00 |
transcript.pyannote[2628].start |
14290.50659375 |
transcript.pyannote[2628].end |
14290.54034375 |
transcript.pyannote[2629].speaker |
SPEAKER_24 |
transcript.pyannote[2629].start |
14290.54034375 |
transcript.pyannote[2629].end |
14290.91159375 |
transcript.pyannote[2630].speaker |
SPEAKER_10 |
transcript.pyannote[2630].start |
14316.66284375 |
transcript.pyannote[2630].end |
14322.11346875 |
transcript.pyannote[2631].speaker |
SPEAKER_26 |
transcript.pyannote[2631].start |
14330.56784375 |
transcript.pyannote[2631].end |
14334.46596875 |
transcript.pyannote[2632].speaker |
SPEAKER_26 |
transcript.pyannote[2632].start |
14334.61784375 |
transcript.pyannote[2632].end |
14337.14909375 |
transcript.pyannote[2633].speaker |
SPEAKER_26 |
transcript.pyannote[2633].start |
14342.21159375 |
transcript.pyannote[2633].end |
14342.73471875 |
transcript.pyannote[2634].speaker |
SPEAKER_26 |
transcript.pyannote[2634].start |
14343.10596875 |
transcript.pyannote[2634].end |
14343.37596875 |
transcript.pyannote[2635].speaker |
SPEAKER_26 |
transcript.pyannote[2635].start |
14343.86534375 |
transcript.pyannote[2635].end |
14348.55659375 |
transcript.pyannote[2636].speaker |
SPEAKER_26 |
transcript.pyannote[2636].start |
14349.04596875 |
transcript.pyannote[2636].end |
14351.08784375 |
transcript.pyannote[2637].speaker |
SPEAKER_26 |
transcript.pyannote[2637].start |
14351.44221875 |
transcript.pyannote[2637].end |
14365.54971875 |
transcript.pyannote[2638].speaker |
SPEAKER_26 |
transcript.pyannote[2638].start |
14365.83659375 |
transcript.pyannote[2638].end |
14371.08471875 |
transcript.pyannote[2639].speaker |
SPEAKER_26 |
transcript.pyannote[2639].start |
14371.60784375 |
transcript.pyannote[2639].end |
14375.59034375 |
transcript.pyannote[2640].speaker |
SPEAKER_26 |
transcript.pyannote[2640].start |
14375.91096875 |
transcript.pyannote[2640].end |
14383.40346875 |
transcript.pyannote[2641].speaker |
SPEAKER_26 |
transcript.pyannote[2641].start |
14383.89284375 |
transcript.pyannote[2641].end |
14390.69346875 |
transcript.pyannote[2642].speaker |
SPEAKER_26 |
transcript.pyannote[2642].start |
14390.71034375 |
transcript.pyannote[2642].end |
14400.32909375 |
transcript.pyannote[2643].speaker |
SPEAKER_26 |
transcript.pyannote[2643].start |
14401.12221875 |
transcript.pyannote[2643].end |
14401.51034375 |
transcript.pyannote[2644].speaker |
SPEAKER_09 |
transcript.pyannote[2644].start |
14402.30346875 |
transcript.pyannote[2644].end |
14423.73471875 |
transcript.pyannote[2645].speaker |
SPEAKER_01 |
transcript.pyannote[2645].start |
14413.66034375 |
transcript.pyannote[2645].end |
14413.96409375 |
transcript.pyannote[2646].speaker |
SPEAKER_07 |
transcript.pyannote[2646].start |
14413.96409375 |
transcript.pyannote[2646].end |
14414.25096875 |
transcript.pyannote[2647].speaker |
SPEAKER_08 |
transcript.pyannote[2647].start |
14414.25096875 |
transcript.pyannote[2647].end |
14414.26784375 |
transcript.pyannote[2648].speaker |
SPEAKER_10 |
transcript.pyannote[2648].start |
14414.26784375 |
transcript.pyannote[2648].end |
14414.28471875 |
transcript.pyannote[2649].speaker |
SPEAKER_26 |
transcript.pyannote[2649].start |
14414.95971875 |
transcript.pyannote[2649].end |
14415.33096875 |
transcript.pyannote[2650].speaker |
SPEAKER_07 |
transcript.pyannote[2650].start |
14415.33096875 |
transcript.pyannote[2650].end |
14415.90471875 |
transcript.pyannote[2651].speaker |
SPEAKER_08 |
transcript.pyannote[2651].start |
14415.90471875 |
transcript.pyannote[2651].end |
14416.02284375 |
transcript.pyannote[2652].speaker |
SPEAKER_01 |
transcript.pyannote[2652].start |
14416.02284375 |
transcript.pyannote[2652].end |
14418.03096875 |
transcript.pyannote[2653].speaker |
SPEAKER_26 |
transcript.pyannote[2653].start |
14418.03096875 |
transcript.pyannote[2653].end |
14419.60034375 |
transcript.pyannote[2654].speaker |
SPEAKER_01 |
transcript.pyannote[2654].start |
14420.03909375 |
transcript.pyannote[2654].end |
14420.07284375 |
transcript.pyannote[2655].speaker |
SPEAKER_26 |
transcript.pyannote[2655].start |
14420.07284375 |
transcript.pyannote[2655].end |
14422.04721875 |
transcript.pyannote[2656].speaker |
SPEAKER_26 |
transcript.pyannote[2656].start |
14423.11034375 |
transcript.pyannote[2656].end |
14427.97034375 |
transcript.pyannote[2657].speaker |
SPEAKER_09 |
transcript.pyannote[2657].start |
14427.97034375 |
transcript.pyannote[2657].end |
14442.02721875 |
transcript.pyannote[2658].speaker |
SPEAKER_01 |
transcript.pyannote[2658].start |
14437.55534375 |
transcript.pyannote[2658].end |
14437.90971875 |
transcript.pyannote[2659].speaker |
SPEAKER_01 |
transcript.pyannote[2659].start |
14438.50034375 |
transcript.pyannote[2659].end |
14439.02346875 |
transcript.pyannote[2660].speaker |
SPEAKER_26 |
transcript.pyannote[2660].start |
14439.02346875 |
transcript.pyannote[2660].end |
14439.44534375 |
transcript.pyannote[2661].speaker |
SPEAKER_26 |
transcript.pyannote[2661].start |
14440.10346875 |
transcript.pyannote[2661].end |
14440.32284375 |
transcript.pyannote[2662].speaker |
SPEAKER_26 |
transcript.pyannote[2662].start |
14442.02721875 |
transcript.pyannote[2662].end |
14453.95784375 |
transcript.pyannote[2663].speaker |
SPEAKER_09 |
transcript.pyannote[2663].start |
14454.27846875 |
transcript.pyannote[2663].end |
14455.22346875 |
transcript.pyannote[2664].speaker |
SPEAKER_26 |
transcript.pyannote[2664].start |
14454.73409375 |
transcript.pyannote[2664].end |
14457.34971875 |
transcript.pyannote[2665].speaker |
SPEAKER_26 |
transcript.pyannote[2665].start |
14457.83909375 |
transcript.pyannote[2665].end |
14461.97346875 |
transcript.pyannote[2666].speaker |
SPEAKER_09 |
transcript.pyannote[2666].start |
14461.97346875 |
transcript.pyannote[2666].end |
14476.36784375 |
transcript.pyannote[2667].speaker |
SPEAKER_26 |
transcript.pyannote[2667].start |
14474.73096875 |
transcript.pyannote[2667].end |
14475.20346875 |
transcript.pyannote[2668].speaker |
SPEAKER_26 |
transcript.pyannote[2668].start |
14475.47346875 |
transcript.pyannote[2668].end |
14486.18909375 |
transcript.pyannote[2669].speaker |
SPEAKER_09 |
transcript.pyannote[2669].start |
14479.89471875 |
transcript.pyannote[2669].end |
14480.01284375 |
transcript.pyannote[2670].speaker |
SPEAKER_09 |
transcript.pyannote[2670].start |
14482.54409375 |
transcript.pyannote[2670].end |
14483.75909375 |
transcript.pyannote[2671].speaker |
SPEAKER_06 |
transcript.pyannote[2671].start |
14483.75909375 |
transcript.pyannote[2671].end |
14483.79284375 |
transcript.pyannote[2672].speaker |
SPEAKER_09 |
transcript.pyannote[2672].start |
14483.79284375 |
transcript.pyannote[2672].end |
14483.86034375 |
transcript.pyannote[2673].speaker |
SPEAKER_06 |
transcript.pyannote[2673].start |
14485.09221875 |
transcript.pyannote[2673].end |
14487.79221875 |
transcript.pyannote[2674].speaker |
SPEAKER_26 |
transcript.pyannote[2674].start |
14486.34096875 |
transcript.pyannote[2674].end |
14505.20721875 |
transcript.pyannote[2675].speaker |
SPEAKER_09 |
transcript.pyannote[2675].start |
14487.79221875 |
transcript.pyannote[2675].end |
14487.84284375 |
transcript.pyannote[2676].speaker |
SPEAKER_01 |
transcript.pyannote[2676].start |
14498.27159375 |
transcript.pyannote[2676].end |
14498.55846875 |
transcript.pyannote[2677].speaker |
SPEAKER_07 |
transcript.pyannote[2677].start |
14498.55846875 |
transcript.pyannote[2677].end |
14498.59221875 |
transcript.pyannote[2678].speaker |
SPEAKER_09 |
transcript.pyannote[2678].start |
14504.36346875 |
transcript.pyannote[2678].end |
14505.79784375 |
transcript.pyannote[2679].speaker |
SPEAKER_26 |
transcript.pyannote[2679].start |
14505.79784375 |
transcript.pyannote[2679].end |
14507.36721875 |
transcript.pyannote[2680].speaker |
SPEAKER_09 |
transcript.pyannote[2680].start |
14507.36721875 |
transcript.pyannote[2680].end |
14509.54409375 |
transcript.pyannote[2681].speaker |
SPEAKER_26 |
transcript.pyannote[2681].start |
14508.00846875 |
transcript.pyannote[2681].end |
14522.79096875 |
transcript.pyannote[2682].speaker |
SPEAKER_01 |
transcript.pyannote[2682].start |
14518.31909375 |
transcript.pyannote[2682].end |
14518.92659375 |
transcript.pyannote[2683].speaker |
SPEAKER_26 |
transcript.pyannote[2683].start |
14523.43221875 |
transcript.pyannote[2683].end |
14545.33596875 |
transcript.pyannote[2684].speaker |
SPEAKER_26 |
transcript.pyannote[2684].start |
14545.45409375 |
transcript.pyannote[2684].end |
14550.78659375 |
transcript.pyannote[2685].speaker |
SPEAKER_03 |
transcript.pyannote[2685].start |
14552.50784375 |
transcript.pyannote[2685].end |
14556.33846875 |
transcript.pyannote[2686].speaker |
SPEAKER_26 |
transcript.pyannote[2686].start |
14556.37221875 |
transcript.pyannote[2686].end |
14566.02471875 |
transcript.pyannote[2687].speaker |
SPEAKER_26 |
transcript.pyannote[2687].start |
14566.41284375 |
transcript.pyannote[2687].end |
14570.44596875 |
transcript.pyannote[2688].speaker |
SPEAKER_04 |
transcript.pyannote[2688].start |
14566.44659375 |
transcript.pyannote[2688].end |
14569.45034375 |
transcript.pyannote[2689].speaker |
SPEAKER_26 |
transcript.pyannote[2689].start |
14571.61034375 |
transcript.pyannote[2689].end |
14571.64409375 |
transcript.pyannote[2690].speaker |
SPEAKER_03 |
transcript.pyannote[2690].start |
14571.64409375 |
transcript.pyannote[2690].end |
14572.36971875 |
transcript.pyannote[2691].speaker |
SPEAKER_03 |
transcript.pyannote[2691].start |
14574.59721875 |
transcript.pyannote[2691].end |
14575.71096875 |
transcript.pyannote[2692].speaker |
SPEAKER_03 |
transcript.pyannote[2692].start |
14575.77846875 |
transcript.pyannote[2692].end |
14588.19846875 |
transcript.pyannote[2693].speaker |
SPEAKER_26 |
transcript.pyannote[2693].start |
14585.68409375 |
transcript.pyannote[2693].end |
14593.58159375 |
transcript.pyannote[2694].speaker |
SPEAKER_26 |
transcript.pyannote[2694].start |
14593.93596875 |
transcript.pyannote[2694].end |
14595.96096875 |
transcript.pyannote[2695].speaker |
SPEAKER_03 |
transcript.pyannote[2695].start |
14595.96096875 |
transcript.pyannote[2695].end |
14596.58534375 |
transcript.pyannote[2696].speaker |
SPEAKER_03 |
transcript.pyannote[2696].start |
14596.75409375 |
transcript.pyannote[2696].end |
14607.85784375 |
transcript.pyannote[2697].speaker |
SPEAKER_26 |
transcript.pyannote[2697].start |
14607.19971875 |
transcript.pyannote[2697].end |
14609.61284375 |
transcript.pyannote[2698].speaker |
SPEAKER_03 |
transcript.pyannote[2698].start |
14610.43971875 |
transcript.pyannote[2698].end |
14620.34534375 |
transcript.pyannote[2699].speaker |
SPEAKER_26 |
transcript.pyannote[2699].start |
14610.47346875 |
transcript.pyannote[2699].end |
14611.38471875 |
transcript.pyannote[2700].speaker |
SPEAKER_26 |
transcript.pyannote[2700].start |
14615.06346875 |
transcript.pyannote[2700].end |
14615.65409375 |
transcript.pyannote[2701].speaker |
SPEAKER_26 |
transcript.pyannote[2701].start |
14619.34971875 |
transcript.pyannote[2701].end |
14626.53846875 |
transcript.pyannote[2702].speaker |
SPEAKER_26 |
transcript.pyannote[2702].start |
14627.14596875 |
transcript.pyannote[2702].end |
14629.08659375 |
transcript.pyannote[2703].speaker |
SPEAKER_26 |
transcript.pyannote[2703].start |
14629.30596875 |
transcript.pyannote[2703].end |
14632.59659375 |
transcript.pyannote[2704].speaker |
SPEAKER_03 |
transcript.pyannote[2704].start |
14633.11971875 |
transcript.pyannote[2704].end |
14638.46909375 |
transcript.pyannote[2705].speaker |
SPEAKER_26 |
transcript.pyannote[2705].start |
14635.14471875 |
transcript.pyannote[2705].end |
14637.01784375 |
transcript.pyannote[2706].speaker |
SPEAKER_26 |
transcript.pyannote[2706].start |
14637.35534375 |
transcript.pyannote[2706].end |
14641.15221875 |
transcript.pyannote[2707].speaker |
SPEAKER_26 |
transcript.pyannote[2707].start |
14641.32096875 |
transcript.pyannote[2707].end |
14647.14284375 |
transcript.pyannote[2708].speaker |
SPEAKER_03 |
transcript.pyannote[2708].start |
14643.02534375 |
transcript.pyannote[2708].end |
14643.04221875 |
transcript.pyannote[2709].speaker |
SPEAKER_01 |
transcript.pyannote[2709].start |
14643.04221875 |
transcript.pyannote[2709].end |
14643.73409375 |
transcript.pyannote[2710].speaker |
SPEAKER_03 |
transcript.pyannote[2710].start |
14643.73409375 |
transcript.pyannote[2710].end |
14643.80159375 |
transcript.pyannote[2711].speaker |
SPEAKER_26 |
transcript.pyannote[2711].start |
14647.93596875 |
transcript.pyannote[2711].end |
14674.39596875 |
transcript.pyannote[2712].speaker |
SPEAKER_26 |
transcript.pyannote[2712].start |
14674.90221875 |
transcript.pyannote[2712].end |
14679.18846875 |
transcript.pyannote[2713].speaker |
SPEAKER_26 |
transcript.pyannote[2713].start |
14679.99846875 |
transcript.pyannote[2713].end |
14690.64659375 |
transcript.pyannote[2714].speaker |
SPEAKER_03 |
transcript.pyannote[2714].start |
14690.83221875 |
transcript.pyannote[2714].end |
14690.84909375 |
transcript.pyannote[2715].speaker |
SPEAKER_04 |
transcript.pyannote[2715].start |
14690.84909375 |
transcript.pyannote[2715].end |
14690.86596875 |
transcript.pyannote[2716].speaker |
SPEAKER_03 |
transcript.pyannote[2716].start |
14690.86596875 |
transcript.pyannote[2716].end |
14691.96284375 |
transcript.pyannote[2717].speaker |
SPEAKER_26 |
transcript.pyannote[2717].start |
14691.43971875 |
transcript.pyannote[2717].end |
14692.13159375 |
transcript.pyannote[2718].speaker |
SPEAKER_26 |
transcript.pyannote[2718].start |
14692.78971875 |
transcript.pyannote[2718].end |
14698.42596875 |
transcript.pyannote[2719].speaker |
SPEAKER_26 |
transcript.pyannote[2719].start |
14699.47221875 |
transcript.pyannote[2719].end |
14703.92721875 |
transcript.pyannote[2720].speaker |
SPEAKER_26 |
transcript.pyannote[2720].start |
14704.73721875 |
transcript.pyannote[2720].end |
14705.96909375 |
transcript.pyannote[2721].speaker |
SPEAKER_03 |
transcript.pyannote[2721].start |
14706.37409375 |
transcript.pyannote[2721].end |
14724.75096875 |
transcript.pyannote[2722].speaker |
SPEAKER_26 |
transcript.pyannote[2722].start |
14724.56534375 |
transcript.pyannote[2722].end |
14738.20034375 |
transcript.pyannote[2723].speaker |
SPEAKER_26 |
transcript.pyannote[2723].start |
14738.87534375 |
transcript.pyannote[2723].end |
14754.18096875 |
transcript.pyannote[2724].speaker |
SPEAKER_26 |
transcript.pyannote[2724].start |
14754.50159375 |
transcript.pyannote[2724].end |
14754.51846875 |
transcript.pyannote[2725].speaker |
SPEAKER_03 |
transcript.pyannote[2725].start |
14754.51846875 |
transcript.pyannote[2725].end |
14758.60221875 |
transcript.pyannote[2726].speaker |
SPEAKER_26 |
transcript.pyannote[2726].start |
14757.79221875 |
transcript.pyannote[2726].end |
14767.15784375 |
transcript.pyannote[2727].speaker |
SPEAKER_26 |
transcript.pyannote[2727].start |
14767.68096875 |
transcript.pyannote[2727].end |
14769.03096875 |
transcript.pyannote[2728].speaker |
SPEAKER_03 |
transcript.pyannote[2728].start |
14769.03096875 |
transcript.pyannote[2728].end |
14776.94534375 |
transcript.pyannote[2729].speaker |
SPEAKER_26 |
transcript.pyannote[2729].start |
14773.67159375 |
transcript.pyannote[2729].end |
14777.63721875 |
transcript.pyannote[2730].speaker |
SPEAKER_26 |
transcript.pyannote[2730].start |
14778.73409375 |
transcript.pyannote[2730].end |
14779.76346875 |
transcript.pyannote[2731].speaker |
SPEAKER_26 |
transcript.pyannote[2731].start |
14780.97846875 |
transcript.pyannote[2731].end |
14782.49721875 |
transcript.pyannote[2732].speaker |
SPEAKER_26 |
transcript.pyannote[2732].start |
14783.10471875 |
transcript.pyannote[2732].end |
14797.11096875 |
transcript.pyannote[2733].speaker |
SPEAKER_26 |
transcript.pyannote[2733].start |
14797.83659375 |
transcript.pyannote[2733].end |
14798.51159375 |
transcript.pyannote[2734].speaker |
SPEAKER_26 |
transcript.pyannote[2734].start |
14798.52846875 |
transcript.pyannote[2734].end |
14798.66346875 |
transcript.pyannote[2735].speaker |
SPEAKER_03 |
transcript.pyannote[2735].start |
14798.66346875 |
transcript.pyannote[2735].end |
14798.78159375 |
transcript.pyannote[2736].speaker |
SPEAKER_04 |
transcript.pyannote[2736].start |
14798.78159375 |
transcript.pyannote[2736].end |
14798.79846875 |
transcript.pyannote[2737].speaker |
SPEAKER_26 |
transcript.pyannote[2737].start |
14799.33846875 |
transcript.pyannote[2737].end |
14800.14846875 |
transcript.pyannote[2738].speaker |
SPEAKER_03 |
transcript.pyannote[2738].start |
14800.72221875 |
transcript.pyannote[2738].end |
14801.07659375 |
transcript.pyannote[2739].speaker |
SPEAKER_26 |
transcript.pyannote[2739].start |
14801.07659375 |
transcript.pyannote[2739].end |
14802.51096875 |
transcript.pyannote[2740].speaker |
SPEAKER_03 |
transcript.pyannote[2740].start |
14801.12721875 |
transcript.pyannote[2740].end |
14802.44346875 |
transcript.pyannote[2741].speaker |
SPEAKER_26 |
transcript.pyannote[2741].start |
14802.94971875 |
transcript.pyannote[2741].end |
14804.73846875 |
transcript.pyannote[2742].speaker |
SPEAKER_26 |
transcript.pyannote[2742].start |
14807.47221875 |
transcript.pyannote[2742].end |
14808.61971875 |
transcript.pyannote[2743].speaker |
SPEAKER_10 |
transcript.pyannote[2743].start |
14807.77596875 |
transcript.pyannote[2743].end |
14811.03284375 |
transcript.pyannote[2744].speaker |
SPEAKER_26 |
transcript.pyannote[2744].start |
14809.07534375 |
transcript.pyannote[2744].end |
14810.99909375 |
transcript.pyannote[2745].speaker |
SPEAKER_26 |
transcript.pyannote[2745].start |
14811.03284375 |
transcript.pyannote[2745].end |
14811.04971875 |
transcript.pyannote[2746].speaker |
SPEAKER_26 |
transcript.pyannote[2746].start |
14812.33221875 |
transcript.pyannote[2746].end |
14813.07471875 |
transcript.pyannote[2747].speaker |
SPEAKER_10 |
transcript.pyannote[2747].start |
14812.36596875 |
transcript.pyannote[2747].end |
14813.02409375 |
transcript.pyannote[2748].speaker |
SPEAKER_26 |
transcript.pyannote[2748].start |
14814.39096875 |
transcript.pyannote[2748].end |
14821.71471875 |
transcript.pyannote[2749].speaker |
SPEAKER_03 |
transcript.pyannote[2749].start |
14819.68971875 |
transcript.pyannote[2749].end |
14819.72346875 |
transcript.pyannote[2750].speaker |
SPEAKER_10 |
transcript.pyannote[2750].start |
14819.72346875 |
transcript.pyannote[2750].end |
14821.69784375 |
transcript.pyannote[2751].speaker |
SPEAKER_10 |
transcript.pyannote[2751].start |
14821.71471875 |
transcript.pyannote[2751].end |
14821.73159375 |
transcript.pyannote[2752].speaker |
SPEAKER_26 |
transcript.pyannote[2752].start |
14821.73159375 |
transcript.pyannote[2752].end |
14821.96784375 |
transcript.pyannote[2753].speaker |
SPEAKER_10 |
transcript.pyannote[2753].start |
14821.96784375 |
transcript.pyannote[2753].end |
14832.90284375 |
transcript.pyannote[2754].speaker |
SPEAKER_10 |
transcript.pyannote[2754].start |
14833.44284375 |
transcript.pyannote[2754].end |
14834.40471875 |
transcript.pyannote[2755].speaker |
SPEAKER_17 |
transcript.pyannote[2755].start |
14835.38346875 |
transcript.pyannote[2755].end |
14836.02471875 |
transcript.pyannote[2756].speaker |
SPEAKER_25 |
transcript.pyannote[2756].start |
14842.75784375 |
transcript.pyannote[2756].end |
14844.56346875 |
transcript.pyannote[2757].speaker |
SPEAKER_25 |
transcript.pyannote[2757].start |
14845.39034375 |
transcript.pyannote[2757].end |
14846.43659375 |
transcript.pyannote[2758].speaker |
SPEAKER_10 |
transcript.pyannote[2758].start |
14846.95971875 |
transcript.pyannote[2758].end |
14848.86659375 |
transcript.pyannote[2759].speaker |
SPEAKER_25 |
transcript.pyannote[2759].start |
14853.06846875 |
transcript.pyannote[2759].end |
14878.75221875 |
transcript.pyannote[2760].speaker |
SPEAKER_09 |
transcript.pyannote[2760].start |
14880.82784375 |
transcript.pyannote[2760].end |
14887.20659375 |
transcript.pyannote[2761].speaker |
SPEAKER_09 |
transcript.pyannote[2761].start |
14887.74659375 |
transcript.pyannote[2761].end |
14913.88596875 |
transcript.pyannote[2762].speaker |
SPEAKER_08 |
transcript.pyannote[2762].start |
14892.03284375 |
transcript.pyannote[2762].end |
14892.25221875 |
transcript.pyannote[2763].speaker |
SPEAKER_25 |
transcript.pyannote[2763].start |
14913.66659375 |
transcript.pyannote[2763].end |
14936.78534375 |
transcript.pyannote[2764].speaker |
SPEAKER_25 |
transcript.pyannote[2764].start |
14937.74721875 |
transcript.pyannote[2764].end |
14939.14784375 |
transcript.pyannote[2765].speaker |
SPEAKER_09 |
transcript.pyannote[2765].start |
14939.06346875 |
transcript.pyannote[2765].end |
14949.01971875 |
transcript.pyannote[2766].speaker |
SPEAKER_25 |
transcript.pyannote[2766].start |
14940.21096875 |
transcript.pyannote[2766].end |
14941.54409375 |
transcript.pyannote[2767].speaker |
SPEAKER_25 |
transcript.pyannote[2767].start |
14947.43346875 |
transcript.pyannote[2767].end |
14959.49909375 |
transcript.pyannote[2768].speaker |
SPEAKER_09 |
transcript.pyannote[2768].start |
14959.80284375 |
transcript.pyannote[2768].end |
14962.21596875 |
transcript.pyannote[2769].speaker |
SPEAKER_25 |
transcript.pyannote[2769].start |
14961.16971875 |
transcript.pyannote[2769].end |
14968.39221875 |
transcript.pyannote[2770].speaker |
SPEAKER_25 |
transcript.pyannote[2770].start |
14968.71284375 |
transcript.pyannote[2770].end |
14968.72971875 |
transcript.pyannote[2771].speaker |
SPEAKER_09 |
transcript.pyannote[2771].start |
14968.72971875 |
transcript.pyannote[2771].end |
14976.44159375 |
transcript.pyannote[2772].speaker |
SPEAKER_25 |
transcript.pyannote[2772].start |
14973.45471875 |
transcript.pyannote[2772].end |
14978.80409375 |
transcript.pyannote[2773].speaker |
SPEAKER_09 |
transcript.pyannote[2773].start |
14977.03221875 |
transcript.pyannote[2773].end |
14978.02784375 |
transcript.pyannote[2774].speaker |
SPEAKER_07 |
transcript.pyannote[2774].start |
14978.02784375 |
transcript.pyannote[2774].end |
14978.58471875 |
transcript.pyannote[2775].speaker |
SPEAKER_09 |
transcript.pyannote[2775].start |
14978.58471875 |
transcript.pyannote[2775].end |
14978.73659375 |
transcript.pyannote[2776].speaker |
SPEAKER_07 |
transcript.pyannote[2776].start |
14978.73659375 |
transcript.pyannote[2776].end |
14979.20909375 |
transcript.pyannote[2777].speaker |
SPEAKER_25 |
transcript.pyannote[2777].start |
14979.20909375 |
transcript.pyannote[2777].end |
14982.34784375 |
transcript.pyannote[2778].speaker |
SPEAKER_25 |
transcript.pyannote[2778].start |
14982.71909375 |
transcript.pyannote[2778].end |
14987.05596875 |
transcript.pyannote[2779].speaker |
SPEAKER_09 |
transcript.pyannote[2779].start |
14988.30471875 |
transcript.pyannote[2779].end |
14994.24471875 |
transcript.pyannote[2780].speaker |
SPEAKER_25 |
transcript.pyannote[2780].start |
14990.56596875 |
transcript.pyannote[2780].end |
14991.44346875 |
transcript.pyannote[2781].speaker |
SPEAKER_25 |
transcript.pyannote[2781].start |
14992.52346875 |
transcript.pyannote[2781].end |
14997.06284375 |
transcript.pyannote[2782].speaker |
SPEAKER_25 |
transcript.pyannote[2782].start |
14997.60284375 |
transcript.pyannote[2782].end |
14998.71659375 |
transcript.pyannote[2783].speaker |
SPEAKER_25 |
transcript.pyannote[2783].start |
14999.54346875 |
transcript.pyannote[2783].end |
15002.47971875 |
transcript.pyannote[2784].speaker |
SPEAKER_25 |
transcript.pyannote[2784].start |
15003.49221875 |
transcript.pyannote[2784].end |
15005.12909375 |
transcript.pyannote[2785].speaker |
SPEAKER_25 |
transcript.pyannote[2785].start |
15005.87159375 |
transcript.pyannote[2785].end |
15015.06846875 |
transcript.pyannote[2786].speaker |
SPEAKER_25 |
transcript.pyannote[2786].start |
15015.89534375 |
transcript.pyannote[2786].end |
15021.17721875 |
transcript.pyannote[2787].speaker |
SPEAKER_25 |
transcript.pyannote[2787].start |
15022.18971875 |
transcript.pyannote[2787].end |
15023.26971875 |
transcript.pyannote[2788].speaker |
SPEAKER_25 |
transcript.pyannote[2788].start |
15026.34096875 |
transcript.pyannote[2788].end |
15026.35784375 |
transcript.pyannote[2789].speaker |
SPEAKER_07 |
transcript.pyannote[2789].start |
15026.35784375 |
transcript.pyannote[2789].end |
15026.44221875 |
transcript.pyannote[2790].speaker |
SPEAKER_25 |
transcript.pyannote[2790].start |
15026.44221875 |
transcript.pyannote[2790].end |
15026.91471875 |
transcript.pyannote[2791].speaker |
SPEAKER_07 |
transcript.pyannote[2791].start |
15026.47596875 |
transcript.pyannote[2791].end |
15026.71221875 |
transcript.pyannote[2792].speaker |
SPEAKER_07 |
transcript.pyannote[2792].start |
15026.91471875 |
transcript.pyannote[2792].end |
15027.79221875 |
transcript.pyannote[2793].speaker |
SPEAKER_25 |
transcript.pyannote[2793].start |
15027.79221875 |
transcript.pyannote[2793].end |
15039.21659375 |
transcript.pyannote[2794].speaker |
SPEAKER_07 |
transcript.pyannote[2794].start |
15027.80909375 |
transcript.pyannote[2794].end |
15030.49221875 |
transcript.pyannote[2795].speaker |
SPEAKER_25 |
transcript.pyannote[2795].start |
15039.50346875 |
transcript.pyannote[2795].end |
15046.15221875 |
transcript.pyannote[2796].speaker |
SPEAKER_25 |
transcript.pyannote[2796].start |
15046.65846875 |
transcript.pyannote[2796].end |
15049.13909375 |
transcript.pyannote[2797].speaker |
SPEAKER_25 |
transcript.pyannote[2797].start |
15049.64534375 |
transcript.pyannote[2797].end |
15050.50596875 |
transcript.pyannote[2798].speaker |
SPEAKER_25 |
transcript.pyannote[2798].start |
15050.97846875 |
transcript.pyannote[2798].end |
15067.85346875 |
transcript.pyannote[2799].speaker |
SPEAKER_09 |
transcript.pyannote[2799].start |
15068.96721875 |
transcript.pyannote[2799].end |
15081.69096875 |
transcript.pyannote[2800].speaker |
SPEAKER_00 |
transcript.pyannote[2800].start |
15075.19409375 |
transcript.pyannote[2800].end |
15075.37971875 |
transcript.pyannote[2801].speaker |
SPEAKER_01 |
transcript.pyannote[2801].start |
15075.37971875 |
transcript.pyannote[2801].end |
15075.44721875 |
transcript.pyannote[2802].speaker |
SPEAKER_00 |
transcript.pyannote[2802].start |
15075.44721875 |
transcript.pyannote[2802].end |
15075.53159375 |
transcript.pyannote[2803].speaker |
SPEAKER_24 |
transcript.pyannote[2803].start |
15080.69534375 |
transcript.pyannote[2803].end |
15080.81346875 |
transcript.pyannote[2804].speaker |
SPEAKER_09 |
transcript.pyannote[2804].start |
15082.51784375 |
transcript.pyannote[2804].end |
15097.36784375 |
transcript.pyannote[2805].speaker |
SPEAKER_01 |
transcript.pyannote[2805].start |
15085.23471875 |
transcript.pyannote[2805].end |
15085.60596875 |
transcript.pyannote[2806].speaker |
SPEAKER_01 |
transcript.pyannote[2806].start |
15086.33159375 |
transcript.pyannote[2806].end |
15087.02346875 |
transcript.pyannote[2807].speaker |
SPEAKER_25 |
transcript.pyannote[2807].start |
15098.19471875 |
transcript.pyannote[2807].end |
15114.47909375 |
transcript.pyannote[2808].speaker |
SPEAKER_25 |
transcript.pyannote[2808].start |
15115.00221875 |
transcript.pyannote[2808].end |
15119.72721875 |
transcript.pyannote[2809].speaker |
SPEAKER_25 |
transcript.pyannote[2809].start |
15120.14909375 |
transcript.pyannote[2809].end |
15124.73909375 |
transcript.pyannote[2810].speaker |
SPEAKER_25 |
transcript.pyannote[2810].start |
15125.71784375 |
transcript.pyannote[2810].end |
15135.77534375 |
transcript.pyannote[2811].speaker |
SPEAKER_25 |
transcript.pyannote[2811].start |
15136.38284375 |
transcript.pyannote[2811].end |
15141.74909375 |
transcript.pyannote[2812].speaker |
SPEAKER_25 |
transcript.pyannote[2812].start |
15142.33971875 |
transcript.pyannote[2812].end |
15151.77284375 |
transcript.pyannote[2813].speaker |
SPEAKER_25 |
transcript.pyannote[2813].start |
15152.34659375 |
transcript.pyannote[2813].end |
15153.93284375 |
transcript.pyannote[2814].speaker |
SPEAKER_25 |
transcript.pyannote[2814].start |
15154.28721875 |
transcript.pyannote[2814].end |
15156.70034375 |
transcript.pyannote[2815].speaker |
SPEAKER_25 |
transcript.pyannote[2815].start |
15156.98721875 |
transcript.pyannote[2815].end |
15168.41159375 |
transcript.pyannote[2816].speaker |
SPEAKER_25 |
transcript.pyannote[2816].start |
15168.98534375 |
transcript.pyannote[2816].end |
15169.57596875 |
transcript.pyannote[2817].speaker |
SPEAKER_25 |
transcript.pyannote[2817].start |
15170.77409375 |
transcript.pyannote[2817].end |
15172.29284375 |
transcript.pyannote[2818].speaker |
SPEAKER_25 |
transcript.pyannote[2818].start |
15172.76534375 |
transcript.pyannote[2818].end |
15182.46846875 |
transcript.pyannote[2819].speaker |
SPEAKER_25 |
transcript.pyannote[2819].start |
15183.14346875 |
transcript.pyannote[2819].end |
15188.56034375 |
transcript.pyannote[2820].speaker |
SPEAKER_25 |
transcript.pyannote[2820].start |
15188.72909375 |
transcript.pyannote[2820].end |
15194.73659375 |
transcript.pyannote[2821].speaker |
SPEAKER_25 |
transcript.pyannote[2821].start |
15194.88846875 |
transcript.pyannote[2821].end |
15195.58034375 |
transcript.pyannote[2822].speaker |
SPEAKER_09 |
transcript.pyannote[2822].start |
15196.55909375 |
transcript.pyannote[2822].end |
15198.24659375 |
transcript.pyannote[2823].speaker |
SPEAKER_09 |
transcript.pyannote[2823].start |
15198.38159375 |
transcript.pyannote[2823].end |
15203.08971875 |
transcript.pyannote[2824].speaker |
SPEAKER_25 |
transcript.pyannote[2824].start |
15200.87909375 |
transcript.pyannote[2824].end |
15201.19971875 |
transcript.pyannote[2825].speaker |
SPEAKER_25 |
transcript.pyannote[2825].start |
15203.08971875 |
transcript.pyannote[2825].end |
15203.88284375 |
transcript.pyannote[2826].speaker |
SPEAKER_09 |
transcript.pyannote[2826].start |
15203.64659375 |
transcript.pyannote[2826].end |
15206.07659375 |
transcript.pyannote[2827].speaker |
SPEAKER_09 |
transcript.pyannote[2827].start |
15206.16096875 |
transcript.pyannote[2827].end |
15214.14284375 |
transcript.pyannote[2828].speaker |
SPEAKER_25 |
transcript.pyannote[2828].start |
15207.35909375 |
transcript.pyannote[2828].end |
15209.51909375 |
transcript.pyannote[2829].speaker |
SPEAKER_25 |
transcript.pyannote[2829].start |
15212.16846875 |
transcript.pyannote[2829].end |
15212.72534375 |
transcript.pyannote[2830].speaker |
SPEAKER_25 |
transcript.pyannote[2830].start |
15214.14284375 |
transcript.pyannote[2830].end |
15216.57284375 |
transcript.pyannote[2831].speaker |
SPEAKER_25 |
transcript.pyannote[2831].start |
15216.69096875 |
transcript.pyannote[2831].end |
15219.98159375 |
transcript.pyannote[2832].speaker |
SPEAKER_25 |
transcript.pyannote[2832].start |
15220.79159375 |
transcript.pyannote[2832].end |
15226.83284375 |
transcript.pyannote[2833].speaker |
SPEAKER_09 |
transcript.pyannote[2833].start |
15229.87034375 |
transcript.pyannote[2833].end |
15233.11034375 |
transcript.pyannote[2834].speaker |
SPEAKER_25 |
transcript.pyannote[2834].start |
15233.11034375 |
transcript.pyannote[2834].end |
15237.14346875 |
transcript.pyannote[2835].speaker |
SPEAKER_09 |
transcript.pyannote[2835].start |
15233.39721875 |
transcript.pyannote[2835].end |
15237.04221875 |
transcript.pyannote[2836].speaker |
SPEAKER_10 |
transcript.pyannote[2836].start |
15237.04221875 |
transcript.pyannote[2836].end |
15237.10971875 |
transcript.pyannote[2837].speaker |
SPEAKER_10 |
transcript.pyannote[2837].start |
15237.14346875 |
transcript.pyannote[2837].end |
15237.37971875 |
transcript.pyannote[2838].speaker |
SPEAKER_06 |
transcript.pyannote[2838].start |
15237.37971875 |
transcript.pyannote[2838].end |
15237.39659375 |
transcript.pyannote[2839].speaker |
SPEAKER_25 |
transcript.pyannote[2839].start |
15237.63284375 |
transcript.pyannote[2839].end |
15238.12221875 |
transcript.pyannote[2840].speaker |
SPEAKER_09 |
transcript.pyannote[2840].start |
15238.39221875 |
transcript.pyannote[2840].end |
15238.40909375 |
transcript.pyannote[2841].speaker |
SPEAKER_10 |
transcript.pyannote[2841].start |
15238.40909375 |
transcript.pyannote[2841].end |
15238.71284375 |
transcript.pyannote[2842].speaker |
SPEAKER_25 |
transcript.pyannote[2842].start |
15239.60721875 |
transcript.pyannote[2842].end |
15239.62409375 |
transcript.pyannote[2843].speaker |
SPEAKER_10 |
transcript.pyannote[2843].start |
15239.62409375 |
transcript.pyannote[2843].end |
15240.38346875 |
transcript.pyannote[2844].speaker |
SPEAKER_25 |
transcript.pyannote[2844].start |
15240.38346875 |
transcript.pyannote[2844].end |
15261.84846875 |
transcript.pyannote[2845].speaker |
SPEAKER_10 |
transcript.pyannote[2845].start |
15242.94846875 |
transcript.pyannote[2845].end |
15243.30284375 |
transcript.pyannote[2846].speaker |
SPEAKER_25 |
transcript.pyannote[2846].start |
15261.88221875 |
transcript.pyannote[2846].end |
15265.69596875 |
transcript.pyannote[2847].speaker |
SPEAKER_09 |
transcript.pyannote[2847].start |
15265.69596875 |
transcript.pyannote[2847].end |
15265.74659375 |
transcript.pyannote[2848].speaker |
SPEAKER_25 |
transcript.pyannote[2848].start |
15266.23596875 |
transcript.pyannote[2848].end |
15267.11346875 |
transcript.pyannote[2849].speaker |
SPEAKER_09 |
transcript.pyannote[2849].start |
15267.11346875 |
transcript.pyannote[2849].end |
15267.58596875 |
transcript.pyannote[2850].speaker |
SPEAKER_25 |
transcript.pyannote[2850].start |
15267.58596875 |
transcript.pyannote[2850].end |
15269.47596875 |
transcript.pyannote[2851].speaker |
SPEAKER_09 |
transcript.pyannote[2851].start |
15267.63659375 |
transcript.pyannote[2851].end |
15272.85096875 |
transcript.pyannote[2852].speaker |
SPEAKER_25 |
transcript.pyannote[2852].start |
15271.56846875 |
transcript.pyannote[2852].end |
15294.56909375 |
transcript.pyannote[2853].speaker |
SPEAKER_09 |
transcript.pyannote[2853].start |
15276.42846875 |
transcript.pyannote[2853].end |
15276.79971875 |
transcript.pyannote[2854].speaker |
SPEAKER_00 |
transcript.pyannote[2854].start |
15283.17846875 |
transcript.pyannote[2854].end |
15283.29659375 |
transcript.pyannote[2855].speaker |
SPEAKER_03 |
transcript.pyannote[2855].start |
15283.29659375 |
transcript.pyannote[2855].end |
15284.27534375 |
transcript.pyannote[2856].speaker |
SPEAKER_10 |
transcript.pyannote[2856].start |
15294.65346875 |
transcript.pyannote[2856].end |
15295.86846875 |
transcript.pyannote[2857].speaker |
SPEAKER_25 |
transcript.pyannote[2857].start |
15294.90659375 |
transcript.pyannote[2857].end |
15297.99471875 |
transcript.pyannote[2858].speaker |
SPEAKER_10 |
transcript.pyannote[2858].start |
15295.98659375 |
transcript.pyannote[2858].end |
15296.17221875 |
transcript.pyannote[2859].speaker |
SPEAKER_10 |
transcript.pyannote[2859].start |
15296.20596875 |
transcript.pyannote[2859].end |
15306.16221875 |
transcript.pyannote[2860].speaker |
SPEAKER_10 |
transcript.pyannote[2860].start |
15306.41534375 |
transcript.pyannote[2860].end |
15307.36034375 |
transcript.pyannote[2861].speaker |
SPEAKER_10 |
transcript.pyannote[2861].start |
15308.08596875 |
transcript.pyannote[2861].end |
15312.35534375 |
transcript.pyannote[2862].speaker |
SPEAKER_10 |
transcript.pyannote[2862].start |
15313.53659375 |
transcript.pyannote[2862].end |
15317.97471875 |
transcript.pyannote[2863].speaker |
SPEAKER_10 |
transcript.pyannote[2863].start |
15318.53159375 |
transcript.pyannote[2863].end |
15328.16721875 |
transcript.pyannote[2864].speaker |
SPEAKER_11 |
transcript.pyannote[2864].start |
15334.71471875 |
transcript.pyannote[2864].end |
15336.50346875 |
transcript.pyannote[2865].speaker |
SPEAKER_11 |
transcript.pyannote[2865].start |
15342.35909375 |
transcript.pyannote[2865].end |
15350.79659375 |
transcript.pyannote[2866].speaker |
SPEAKER_11 |
transcript.pyannote[2866].start |
15351.62346875 |
transcript.pyannote[2866].end |
15360.38159375 |
transcript.pyannote[2867].speaker |
SPEAKER_11 |
transcript.pyannote[2867].start |
15360.78659375 |
transcript.pyannote[2867].end |
15372.56534375 |
transcript.pyannote[2868].speaker |
SPEAKER_09 |
transcript.pyannote[2868].start |
15372.54846875 |
transcript.pyannote[2868].end |
15372.58221875 |
transcript.pyannote[2869].speaker |
SPEAKER_11 |
transcript.pyannote[2869].start |
15372.58221875 |
transcript.pyannote[2869].end |
15372.66659375 |
transcript.pyannote[2870].speaker |
SPEAKER_09 |
transcript.pyannote[2870].start |
15372.59909375 |
transcript.pyannote[2870].end |
15372.68346875 |
transcript.pyannote[2871].speaker |
SPEAKER_11 |
transcript.pyannote[2871].start |
15372.68346875 |
transcript.pyannote[2871].end |
15384.17534375 |
transcript.pyannote[2872].speaker |
SPEAKER_09 |
transcript.pyannote[2872].start |
15372.70034375 |
transcript.pyannote[2872].end |
15373.25721875 |
transcript.pyannote[2873].speaker |
SPEAKER_08 |
transcript.pyannote[2873].start |
15373.25721875 |
transcript.pyannote[2873].end |
15373.29096875 |
transcript.pyannote[2874].speaker |
SPEAKER_11 |
transcript.pyannote[2874].start |
15384.22596875 |
transcript.pyannote[2874].end |
15397.65846875 |
transcript.pyannote[2875].speaker |
SPEAKER_11 |
transcript.pyannote[2875].start |
15398.21534375 |
transcript.pyannote[2875].end |
15402.07971875 |
transcript.pyannote[2876].speaker |
SPEAKER_11 |
transcript.pyannote[2876].start |
15402.31596875 |
transcript.pyannote[2876].end |
15406.83846875 |
transcript.pyannote[2877].speaker |
SPEAKER_11 |
transcript.pyannote[2877].start |
15407.29409375 |
transcript.pyannote[2877].end |
15410.53409375 |
transcript.pyannote[2878].speaker |
SPEAKER_11 |
transcript.pyannote[2878].start |
15410.90534375 |
transcript.pyannote[2878].end |
15412.72784375 |
transcript.pyannote[2879].speaker |
SPEAKER_11 |
transcript.pyannote[2879].start |
15413.01471875 |
transcript.pyannote[2879].end |
15415.95096875 |
transcript.pyannote[2880].speaker |
SPEAKER_11 |
transcript.pyannote[2880].start |
15416.59221875 |
transcript.pyannote[2880].end |
15419.42721875 |
transcript.pyannote[2881].speaker |
SPEAKER_11 |
transcript.pyannote[2881].start |
15419.73096875 |
transcript.pyannote[2881].end |
15420.60846875 |
transcript.pyannote[2882].speaker |
SPEAKER_11 |
transcript.pyannote[2882].start |
15420.77721875 |
transcript.pyannote[2882].end |
15422.76846875 |
transcript.pyannote[2883].speaker |
SPEAKER_11 |
transcript.pyannote[2883].start |
15423.39284375 |
transcript.pyannote[2883].end |
15425.56971875 |
transcript.pyannote[2884].speaker |
SPEAKER_11 |
transcript.pyannote[2884].start |
15425.77221875 |
transcript.pyannote[2884].end |
15427.69596875 |
transcript.pyannote[2885].speaker |
SPEAKER_11 |
transcript.pyannote[2885].start |
15427.99971875 |
transcript.pyannote[2885].end |
15434.42909375 |
transcript.pyannote[2886].speaker |
SPEAKER_11 |
transcript.pyannote[2886].start |
15434.80034375 |
transcript.pyannote[2886].end |
15442.14096875 |
transcript.pyannote[2887].speaker |
SPEAKER_09 |
transcript.pyannote[2887].start |
15442.56284375 |
transcript.pyannote[2887].end |
15444.60471875 |
transcript.pyannote[2888].speaker |
SPEAKER_11 |
transcript.pyannote[2888].start |
15444.60471875 |
transcript.pyannote[2888].end |
15444.89159375 |
transcript.pyannote[2889].speaker |
SPEAKER_09 |
transcript.pyannote[2889].start |
15444.62159375 |
transcript.pyannote[2889].end |
15444.85784375 |
transcript.pyannote[2890].speaker |
SPEAKER_09 |
transcript.pyannote[2890].start |
15444.89159375 |
transcript.pyannote[2890].end |
15444.97596875 |
transcript.pyannote[2891].speaker |
SPEAKER_11 |
transcript.pyannote[2891].start |
15444.97596875 |
transcript.pyannote[2891].end |
15447.67596875 |
transcript.pyannote[2892].speaker |
SPEAKER_09 |
transcript.pyannote[2892].start |
15445.09409375 |
transcript.pyannote[2892].end |
15445.83659375 |
transcript.pyannote[2893].speaker |
SPEAKER_11 |
transcript.pyannote[2893].start |
15448.11471875 |
transcript.pyannote[2893].end |
15452.35034375 |
transcript.pyannote[2894].speaker |
SPEAKER_11 |
transcript.pyannote[2894].start |
15452.53596875 |
transcript.pyannote[2894].end |
15453.91971875 |
transcript.pyannote[2895].speaker |
SPEAKER_11 |
transcript.pyannote[2895].start |
15454.44284375 |
transcript.pyannote[2895].end |
15455.62409375 |
transcript.pyannote[2896].speaker |
SPEAKER_11 |
transcript.pyannote[2896].start |
15455.82659375 |
transcript.pyannote[2896].end |
15456.97409375 |
transcript.pyannote[2897].speaker |
SPEAKER_09 |
transcript.pyannote[2897].start |
15456.97409375 |
transcript.pyannote[2897].end |
15457.44659375 |
transcript.pyannote[2898].speaker |
SPEAKER_11 |
transcript.pyannote[2898].start |
15458.29034375 |
transcript.pyannote[2898].end |
15458.30721875 |
transcript.pyannote[2899].speaker |
SPEAKER_09 |
transcript.pyannote[2899].start |
15458.30721875 |
transcript.pyannote[2899].end |
15473.54534375 |
transcript.pyannote[2900].speaker |
SPEAKER_09 |
transcript.pyannote[2900].start |
15473.68034375 |
transcript.pyannote[2900].end |
15524.28846875 |
transcript.pyannote[2901].speaker |
SPEAKER_01 |
transcript.pyannote[2901].start |
15513.77534375 |
transcript.pyannote[2901].end |
15513.97784375 |
transcript.pyannote[2902].speaker |
SPEAKER_00 |
transcript.pyannote[2902].start |
15513.97784375 |
transcript.pyannote[2902].end |
15514.02846875 |
transcript.pyannote[2903].speaker |
SPEAKER_11 |
transcript.pyannote[2903].start |
15524.03534375 |
transcript.pyannote[2903].end |
15542.27721875 |
transcript.pyannote[2904].speaker |
SPEAKER_01 |
transcript.pyannote[2904].start |
15530.29596875 |
transcript.pyannote[2904].end |
15531.02159375 |
transcript.pyannote[2905].speaker |
SPEAKER_01 |
transcript.pyannote[2905].start |
15536.67471875 |
transcript.pyannote[2905].end |
15536.92784375 |
transcript.pyannote[2906].speaker |
SPEAKER_05 |
transcript.pyannote[2906].start |
15536.92784375 |
transcript.pyannote[2906].end |
15537.53534375 |
transcript.pyannote[2907].speaker |
SPEAKER_11 |
transcript.pyannote[2907].start |
15542.34471875 |
transcript.pyannote[2907].end |
15544.84221875 |
transcript.pyannote[2908].speaker |
SPEAKER_11 |
transcript.pyannote[2908].start |
15545.06159375 |
transcript.pyannote[2908].end |
15550.24221875 |
transcript.pyannote[2909].speaker |
SPEAKER_11 |
transcript.pyannote[2909].start |
15550.81596875 |
transcript.pyannote[2909].end |
15571.21784375 |
transcript.pyannote[2910].speaker |
SPEAKER_11 |
transcript.pyannote[2910].start |
15571.89284375 |
transcript.pyannote[2910].end |
15577.39409375 |
transcript.pyannote[2911].speaker |
SPEAKER_11 |
transcript.pyannote[2911].start |
15577.68096875 |
transcript.pyannote[2911].end |
15597.88034375 |
transcript.pyannote[2912].speaker |
SPEAKER_11 |
transcript.pyannote[2912].start |
15598.36971875 |
transcript.pyannote[2912].end |
15617.26971875 |
transcript.pyannote[2913].speaker |
SPEAKER_11 |
transcript.pyannote[2913].start |
15617.52284375 |
transcript.pyannote[2913].end |
15618.68721875 |
transcript.pyannote[2914].speaker |
SPEAKER_11 |
transcript.pyannote[2914].start |
15619.12596875 |
transcript.pyannote[2914].end |
15621.57284375 |
transcript.pyannote[2915].speaker |
SPEAKER_11 |
transcript.pyannote[2915].start |
15622.09596875 |
transcript.pyannote[2915].end |
15628.96409375 |
transcript.pyannote[2916].speaker |
SPEAKER_11 |
transcript.pyannote[2916].start |
15629.47034375 |
transcript.pyannote[2916].end |
15632.22096875 |
transcript.pyannote[2917].speaker |
SPEAKER_11 |
transcript.pyannote[2917].start |
15632.62596875 |
transcript.pyannote[2917].end |
15671.60721875 |
transcript.pyannote[2918].speaker |
SPEAKER_11 |
transcript.pyannote[2918].start |
15671.72534375 |
transcript.pyannote[2918].end |
15685.46159375 |
transcript.pyannote[2919].speaker |
SPEAKER_11 |
transcript.pyannote[2919].start |
15686.10284375 |
transcript.pyannote[2919].end |
15691.35096875 |
transcript.pyannote[2920].speaker |
SPEAKER_11 |
transcript.pyannote[2920].start |
15691.55346875 |
transcript.pyannote[2920].end |
15693.49409375 |
transcript.pyannote[2921].speaker |
SPEAKER_11 |
transcript.pyannote[2921].start |
15694.06784375 |
transcript.pyannote[2921].end |
15717.10221875 |
transcript.pyannote[2922].speaker |
SPEAKER_11 |
transcript.pyannote[2922].start |
15717.43971875 |
transcript.pyannote[2922].end |
15720.27471875 |
transcript.pyannote[2923].speaker |
SPEAKER_09 |
transcript.pyannote[2923].start |
15723.29534375 |
transcript.pyannote[2923].end |
15737.03159375 |
transcript.pyannote[2924].speaker |
SPEAKER_11 |
transcript.pyannote[2924].start |
15725.50596875 |
transcript.pyannote[2924].end |
15726.63659375 |
transcript.pyannote[2925].speaker |
SPEAKER_00 |
transcript.pyannote[2925].start |
15726.63659375 |
transcript.pyannote[2925].end |
15726.68721875 |
transcript.pyannote[2926].speaker |
SPEAKER_01 |
transcript.pyannote[2926].start |
15729.03284375 |
transcript.pyannote[2926].end |
15729.31971875 |
transcript.pyannote[2927].speaker |
SPEAKER_00 |
transcript.pyannote[2927].start |
15729.31971875 |
transcript.pyannote[2927].end |
15729.62346875 |
transcript.pyannote[2928].speaker |
SPEAKER_11 |
transcript.pyannote[2928].start |
15737.03159375 |
transcript.pyannote[2928].end |
15744.86159375 |
transcript.pyannote[2929].speaker |
SPEAKER_11 |
transcript.pyannote[2929].start |
15745.03034375 |
transcript.pyannote[2929].end |
15752.03346875 |
transcript.pyannote[2930].speaker |
SPEAKER_11 |
transcript.pyannote[2930].start |
15752.57346875 |
transcript.pyannote[2930].end |
15755.34096875 |
transcript.pyannote[2931].speaker |
SPEAKER_11 |
transcript.pyannote[2931].start |
15756.50534375 |
transcript.pyannote[2931].end |
15760.18409375 |
transcript.pyannote[2932].speaker |
SPEAKER_11 |
transcript.pyannote[2932].start |
15760.77471875 |
transcript.pyannote[2932].end |
15762.47909375 |
transcript.pyannote[2933].speaker |
SPEAKER_11 |
transcript.pyannote[2933].start |
15762.85034375 |
transcript.pyannote[2933].end |
15765.09471875 |
transcript.pyannote[2934].speaker |
SPEAKER_11 |
transcript.pyannote[2934].start |
15765.66846875 |
transcript.pyannote[2934].end |
15767.38971875 |
transcript.pyannote[2935].speaker |
SPEAKER_11 |
transcript.pyannote[2935].start |
15768.01409375 |
transcript.pyannote[2935].end |
15798.47346875 |
transcript.pyannote[2936].speaker |
SPEAKER_11 |
transcript.pyannote[2936].start |
15799.80659375 |
transcript.pyannote[2936].end |
15802.47284375 |
transcript.pyannote[2937].speaker |
SPEAKER_11 |
transcript.pyannote[2937].start |
15803.60346875 |
transcript.pyannote[2937].end |
15804.76784375 |
transcript.pyannote[2938].speaker |
SPEAKER_11 |
transcript.pyannote[2938].start |
15806.15159375 |
transcript.pyannote[2938].end |
15807.28221875 |
transcript.pyannote[2939].speaker |
SPEAKER_11 |
transcript.pyannote[2939].start |
15807.83909375 |
transcript.pyannote[2939].end |
15833.99534375 |
transcript.pyannote[2940].speaker |
SPEAKER_11 |
transcript.pyannote[2940].start |
15834.28221875 |
transcript.pyannote[2940].end |
15858.04221875 |
transcript.pyannote[2941].speaker |
SPEAKER_09 |
transcript.pyannote[2941].start |
15859.37534375 |
transcript.pyannote[2941].end |
15859.51034375 |
transcript.pyannote[2942].speaker |
SPEAKER_11 |
transcript.pyannote[2942].start |
15859.51034375 |
transcript.pyannote[2942].end |
15861.97409375 |
transcript.pyannote[2943].speaker |
SPEAKER_09 |
transcript.pyannote[2943].start |
15861.97409375 |
transcript.pyannote[2943].end |
15914.37096875 |
transcript.pyannote[2944].speaker |
SPEAKER_11 |
transcript.pyannote[2944].start |
15910.03409375 |
transcript.pyannote[2944].end |
15911.33346875 |
transcript.pyannote[2945].speaker |
SPEAKER_11 |
transcript.pyannote[2945].start |
15912.14346875 |
transcript.pyannote[2945].end |
15912.66659375 |
transcript.pyannote[2946].speaker |
SPEAKER_11 |
transcript.pyannote[2946].start |
15913.15596875 |
transcript.pyannote[2946].end |
15925.28909375 |
transcript.pyannote[2947].speaker |
SPEAKER_09 |
transcript.pyannote[2947].start |
15922.62284375 |
transcript.pyannote[2947].end |
15924.07409375 |
transcript.pyannote[2948].speaker |
SPEAKER_11 |
transcript.pyannote[2948].start |
15925.49159375 |
transcript.pyannote[2948].end |
15927.68534375 |
transcript.pyannote[2949].speaker |
SPEAKER_09 |
transcript.pyannote[2949].start |
15926.01471875 |
transcript.pyannote[2949].end |
15926.38596875 |
transcript.pyannote[2950].speaker |
SPEAKER_11 |
transcript.pyannote[2950].start |
15927.87096875 |
transcript.pyannote[2950].end |
15936.17346875 |
transcript.pyannote[2951].speaker |
SPEAKER_11 |
transcript.pyannote[2951].start |
15936.57846875 |
transcript.pyannote[2951].end |
15943.69971875 |
transcript.pyannote[2952].speaker |
SPEAKER_11 |
transcript.pyannote[2952].start |
15944.20596875 |
transcript.pyannote[2952].end |
15966.97034375 |
transcript.pyannote[2953].speaker |
SPEAKER_00 |
transcript.pyannote[2953].start |
15955.83284375 |
transcript.pyannote[2953].end |
15955.88346875 |
transcript.pyannote[2954].speaker |
SPEAKER_07 |
transcript.pyannote[2954].start |
15955.88346875 |
transcript.pyannote[2954].end |
15956.27159375 |
transcript.pyannote[2955].speaker |
SPEAKER_00 |
transcript.pyannote[2955].start |
15956.27159375 |
transcript.pyannote[2955].end |
15956.30534375 |
transcript.pyannote[2956].speaker |
SPEAKER_09 |
transcript.pyannote[2956].start |
15966.97034375 |
transcript.pyannote[2956].end |
15987.06846875 |
transcript.pyannote[2957].speaker |
SPEAKER_11 |
transcript.pyannote[2957].start |
15970.22721875 |
transcript.pyannote[2957].end |
15970.73346875 |
transcript.pyannote[2958].speaker |
SPEAKER_06 |
transcript.pyannote[2958].start |
15971.50971875 |
transcript.pyannote[2958].end |
15971.54346875 |
transcript.pyannote[2959].speaker |
SPEAKER_11 |
transcript.pyannote[2959].start |
15971.54346875 |
transcript.pyannote[2959].end |
15972.04971875 |
transcript.pyannote[2960].speaker |
SPEAKER_08 |
transcript.pyannote[2960].start |
15972.04971875 |
transcript.pyannote[2960].end |
15972.06659375 |
transcript.pyannote[2961].speaker |
SPEAKER_08 |
transcript.pyannote[2961].start |
15972.82596875 |
transcript.pyannote[2961].end |
15972.84284375 |
transcript.pyannote[2962].speaker |
SPEAKER_11 |
transcript.pyannote[2962].start |
15972.84284375 |
transcript.pyannote[2962].end |
15973.66971875 |
transcript.pyannote[2963].speaker |
SPEAKER_08 |
transcript.pyannote[2963].start |
15974.15909375 |
transcript.pyannote[2963].end |
15975.47534375 |
transcript.pyannote[2964].speaker |
SPEAKER_08 |
transcript.pyannote[2964].start |
15978.86721875 |
transcript.pyannote[2964].end |
15980.38596875 |
transcript.pyannote[2965].speaker |
SPEAKER_00 |
transcript.pyannote[2965].start |
15981.07784375 |
transcript.pyannote[2965].end |
15981.33096875 |
transcript.pyannote[2966].speaker |
SPEAKER_08 |
transcript.pyannote[2966].start |
15986.44409375 |
transcript.pyannote[2966].end |
15987.50721875 |
transcript.pyannote[2967].speaker |
SPEAKER_09 |
transcript.pyannote[2967].start |
15987.50721875 |
transcript.pyannote[2967].end |
15987.54096875 |
transcript.pyannote[2968].speaker |
SPEAKER_11 |
transcript.pyannote[2968].start |
15987.54096875 |
transcript.pyannote[2968].end |
15987.57471875 |
transcript.pyannote[2969].speaker |
SPEAKER_09 |
transcript.pyannote[2969].start |
15987.57471875 |
transcript.pyannote[2969].end |
15988.09784375 |
transcript.pyannote[2970].speaker |
SPEAKER_09 |
transcript.pyannote[2970].start |
15988.31721875 |
transcript.pyannote[2970].end |
15988.36784375 |
transcript.pyannote[2971].speaker |
SPEAKER_11 |
transcript.pyannote[2971].start |
15988.36784375 |
transcript.pyannote[2971].end |
15992.92409375 |
transcript.pyannote[2972].speaker |
SPEAKER_11 |
transcript.pyannote[2972].start |
15994.20659375 |
transcript.pyannote[2972].end |
16001.17596875 |
transcript.pyannote[2973].speaker |
SPEAKER_09 |
transcript.pyannote[2973].start |
15999.42096875 |
transcript.pyannote[2973].end |
16001.24346875 |
transcript.pyannote[2974].speaker |
SPEAKER_11 |
transcript.pyannote[2974].start |
16001.24346875 |
transcript.pyannote[2974].end |
16001.96909375 |
transcript.pyannote[2975].speaker |
SPEAKER_09 |
transcript.pyannote[2975].start |
16001.96909375 |
transcript.pyannote[2975].end |
16010.17034375 |
transcript.pyannote[2976].speaker |
SPEAKER_01 |
transcript.pyannote[2976].start |
16006.84596875 |
transcript.pyannote[2976].end |
16007.03159375 |
transcript.pyannote[2977].speaker |
SPEAKER_11 |
transcript.pyannote[2977].start |
16007.03159375 |
transcript.pyannote[2977].end |
16010.92971875 |
transcript.pyannote[2978].speaker |
SPEAKER_09 |
transcript.pyannote[2978].start |
16010.62596875 |
transcript.pyannote[2978].end |
16010.94659375 |
transcript.pyannote[2979].speaker |
SPEAKER_11 |
transcript.pyannote[2979].start |
16010.94659375 |
transcript.pyannote[2979].end |
16021.25721875 |
transcript.pyannote[2980].speaker |
SPEAKER_09 |
transcript.pyannote[2980].start |
16011.52034375 |
transcript.pyannote[2980].end |
16012.63409375 |
transcript.pyannote[2981].speaker |
SPEAKER_09 |
transcript.pyannote[2981].start |
16020.26159375 |
transcript.pyannote[2981].end |
16020.66659375 |
transcript.pyannote[2982].speaker |
SPEAKER_09 |
transcript.pyannote[2982].start |
16021.25721875 |
transcript.pyannote[2982].end |
16023.60284375 |
transcript.pyannote[2983].speaker |
SPEAKER_11 |
transcript.pyannote[2983].start |
16021.27409375 |
transcript.pyannote[2983].end |
16021.37534375 |
transcript.pyannote[2984].speaker |
SPEAKER_10 |
transcript.pyannote[2984].start |
16021.37534375 |
transcript.pyannote[2984].end |
16025.99909375 |
transcript.pyannote[2985].speaker |
SPEAKER_11 |
transcript.pyannote[2985].start |
16023.60284375 |
transcript.pyannote[2985].end |
16023.67034375 |
transcript.pyannote[2986].speaker |
SPEAKER_11 |
transcript.pyannote[2986].start |
16023.77159375 |
transcript.pyannote[2986].end |
16023.95721875 |
transcript.pyannote[2987].speaker |
SPEAKER_09 |
transcript.pyannote[2987].start |
16023.95721875 |
transcript.pyannote[2987].end |
16024.48034375 |
transcript.pyannote[2988].speaker |
SPEAKER_10 |
transcript.pyannote[2988].start |
16026.75846875 |
transcript.pyannote[2988].end |
16043.98784375 |
transcript.pyannote[2989].speaker |
SPEAKER_10 |
transcript.pyannote[2989].start |
16044.86534375 |
transcript.pyannote[2989].end |
16078.02471875 |
transcript.pyannote[2990].speaker |
SPEAKER_10 |
transcript.pyannote[2990].start |
16078.07534375 |
transcript.pyannote[2990].end |
16080.04971875 |
transcript.pyannote[2991].speaker |
SPEAKER_10 |
transcript.pyannote[2991].start |
16080.85971875 |
transcript.pyannote[2991].end |
16081.99034375 |
transcript.pyannote[2992].speaker |
SPEAKER_10 |
transcript.pyannote[2992].start |
16082.24346875 |
transcript.pyannote[2992].end |
16085.06159375 |
transcript.pyannote[2993].speaker |
SPEAKER_01 |
transcript.pyannote[2993].start |
16085.19659375 |
transcript.pyannote[2993].end |
16085.55096875 |
transcript.pyannote[2994].speaker |
SPEAKER_10 |
transcript.pyannote[2994].start |
16086.74909375 |
transcript.pyannote[2994].end |
16093.27971875 |
transcript.pyannote[2995].speaker |
SPEAKER_10 |
transcript.pyannote[2995].start |
16094.02221875 |
transcript.pyannote[2995].end |
16104.21471875 |
transcript.pyannote[2996].speaker |
SPEAKER_10 |
transcript.pyannote[2996].start |
16105.05846875 |
transcript.pyannote[2996].end |
16105.12596875 |
transcript.pyannote[2997].speaker |
SPEAKER_10 |
transcript.pyannote[2997].start |
16106.42534375 |
transcript.pyannote[2997].end |
16107.21846875 |
transcript.pyannote[2998].speaker |
SPEAKER_01 |
transcript.pyannote[2998].start |
16108.36596875 |
transcript.pyannote[2998].end |
16108.90596875 |
transcript.pyannote[2999].speaker |
SPEAKER_10 |
transcript.pyannote[2999].start |
16111.35284375 |
transcript.pyannote[2999].end |
16113.27659375 |
transcript.pyannote[3000].speaker |
SPEAKER_10 |
transcript.pyannote[3000].start |
16115.06534375 |
transcript.pyannote[3000].end |
16119.36846875 |
transcript.pyannote[3001].speaker |
SPEAKER_10 |
transcript.pyannote[3001].start |
16119.99284375 |
transcript.pyannote[3001].end |
16130.87721875 |
transcript.pyannote[3002].speaker |
SPEAKER_10 |
transcript.pyannote[3002].start |
16131.34971875 |
transcript.pyannote[3002].end |
16132.07534375 |
transcript.whisperx[0].start |
1791.438 |
transcript.whisperx[0].end |
1804.172 |
transcript.whisperx[0].text |
請主任秘書報告出席委員人數報告委員會出席委員與主法定人數主席現在宣布我們開始開會請議事人員先讀上一次會議的議事錄 |
transcript.whisperx[1].start |
1806.414 |
transcript.whisperx[1].end |
1823.22 |
transcript.whisperx[1].text |
立法院第11屆第2會期財政委員會第1次全體委員會議事入時間中華民國113年9月25日星期三上午九時二分至十一時三十四分地點秦仙樓九樓大禮堂出席委員郭國文等十三人請假委員一人主席陳委員一貞 |
transcript.whisperx[2].start |
1823.82 |
transcript.whisperx[2].end |
1838.805 |
transcript.whisperx[2].text |
報告四項,一、宣讀上次會議議事錄決定、議事錄確定二、本院秘書長韓為第11屆第2會期本院各委員會召集委員選舉相關事宜也經本院人事處提報本院第11屆第2會期第一次會議決定召喚通過再案 |
transcript.whisperx[3].start |
1839.705 |
transcript.whisperx[3].end |
1857.966 |
transcript.whisperx[3].text |
三、宣讀本會期本會召集委員選舉的名冊選舉事項選舉立法院第11屆第2會期本會召集委員一、立法院各委員會召集委員選舉辦法第五條及第八條召集委員之選舉以吳敬明單計法票選之經在場委員互推由賴委員會 |
transcript.whisperx[4].start |
1859.808 |
transcript.whisperx[4].end |
1880.849 |
transcript.whisperx[4].text |
會員擔任發票員李委員燕秀擔任唱票員李委員燕秀擔任計票員賴委員會員擔任監票員選舉結果出席委員13人發出票數13票開出票數13票開票結果為陳委員一增7票賴委員會員6票由陳委員一增及賴委員會員當選中立法院第11屆第2會期財政委員會召集委員宣傳筆 |
transcript.whisperx[5].start |
1883.647 |
transcript.whisperx[5].end |
1891.716 |
transcript.whisperx[5].text |
請問各位委員對上一次的議事錄有沒有意義?沒有意義我們的議事錄就確定請議事人員先讀今日的議程 |
transcript.whisperx[6].start |
1895.595 |
transcript.whisperx[6].end |
1920.22 |
transcript.whisperx[6].text |
要請財政部莊部長翠雲率所屬機關首長暨國營事業董事長、總經理 :含各轉投資事業機構公股代表之董、監事゚列席業務報告:並備質詢同日事項審查《證券交易稅條例5案》依行政院函請審議《證券交易稅條例第二條之二及第十二條條文修正草案》二、本院委員羅賓彩等20人擬據《證券交易稅條例第二條之二條文修正草案案》三、本院委員賴士寶等25人擬據 |
transcript.whisperx[7].start |
1921.48 |
transcript.whisperx[7].end |
1947.806 |
transcript.whisperx[7].text |
正確交易稅條例第二條之二及第十二條條文修正草案四、本院委員吳立豪等十幾人擬據正確交易稅條例第二條之二及第十二條條文修正草案五、本院委員邱志偉等十幾人擬據正確交易稅條例第十二條條文修正草案宣讀完畢好,謝謝那我就介紹就是今天在場的官員齁我首先介紹我們的財政部部長莊部長 |
transcript.whisperx[8].start |
1952.079 |
transcript.whisperx[8].end |
1959.761 |
transcript.whisperx[8].text |
中和規劃師李師長國際財政師丁師長推動促餐師張師長人事處文章處長、會計處李處長統計處蔡處長、政風處許處長 |
transcript.whisperx[9].start |
1980.47 |
transcript.whisperx[9].end |
2008.077 |
transcript.whisperx[9].text |
還有法制處姚處長、秘書處楊處長國庫署陳署長、戶稅署宋署長官務署彭署長、還有國有財產署曾署長財稅中心我們的資訊中心我們的張主任財政人員訓練所我們的許所長 |
transcript.whisperx[10].start |
2013.392 |
transcript.whisperx[10].end |
2027.215 |
transcript.whisperx[10].text |
臺北國稅局吳局長高雄國稅局翁局長北區國稅局李局長中區國稅局樓局長南區國稅局李局長 |
transcript.whisperx[11].start |
2034.304 |
transcript.whisperx[11].end |
2053.056 |
transcript.whisperx[11].text |
我可能要花一點時間因為我們的八大行庫就是更動了比較多的人員所以首先我先來介紹台灣金控董事長林董事長還有我們的施總經理台灣銀行吳總經理台灣人壽張董事長 |
transcript.whisperx[12].start |
2062.132 |
transcript.whisperx[12].end |
2074.283 |
transcript.whisperx[12].text |
謝謝我們的劉啟聖總經理彈銀綜合證券喜慈美董事長還有我們的代理總經理林文勤代理總經理 |
transcript.whisperx[13].start |
2087.463 |
transcript.whisperx[13].end |
2114.963 |
transcript.whisperx[13].text |
還有我們台銀綜合保險經紀人總經理何總經理也代理董事長我們的土銀董事長何董事長還有我們的張智堅總經理那兆豐金控我們的董董董事長董瑞兵董事長還有總經理我們的蕭義美總經理 |
transcript.whisperx[14].start |
2119.315 |
transcript.whisperx[14].end |
2146.689 |
transcript.whisperx[14].text |
還有我們兆豐銀行就是黃永珍黃總經理第一金控我們的邱業勤董事長那邱董事長也兼第一銀行董事長總經理我們的方銀基總經理那第一商業銀行總經理李嘉祥 |
transcript.whisperx[15].start |
2151.024 |
transcript.whisperx[15].end |
2159.61 |
transcript.whisperx[15].text |
華蘭金控陳董事長陳董事長兼華蘭銀行董事長總經理李耀清總經理華蘭銀行黃俊志總經理合作金庫董事長林衍茂董事長 |
transcript.whisperx[16].start |
2178.306 |
transcript.whisperx[16].end |
2203.926 |
transcript.whisperx[16].text |
林董事長也兼我們合庫銀行的董事長總經理我們的蘇總經理蘇佐正總經理合庫銀行我們的王淑芳總經理彰化銀行我們的胡光華董事長還有我們的周總經理 |
transcript.whisperx[17].start |
2208.198 |
transcript.whisperx[17].end |
2229.652 |
transcript.whisperx[17].text |
臺灣中小企業銀行劉佩珍董事長李國忠總經理介紹中國輸入銀行理事主席、代理事主席謝富華總經理臺灣菸酒公司湯祺安董事長 |
transcript.whisperx[18].start |
2241.586 |
transcript.whisperx[18].end |
2267.773 |
transcript.whisperx[18].text |
總經理賴範宗財政部印刷廠王國隆廠長官罵網路股份有限公司張璐生董事長高國豐總經理中央債保險股份有限公司李一芬董事 |
transcript.whisperx[19].start |
2272.123 |
transcript.whisperx[19].end |
2297.218 |
transcript.whisperx[19].text |
介紹臺灣今年資產管理有限公司我們的郭俊文總經理 郭文靜因為董事長失禁及請假還有我們的臺灣金融資產股份有限公司陳美如董事長接著我們介紹臺灣金融大樓股份有限公司董事長賈永傑賈董事長 |
transcript.whisperx[20].start |
2302.114 |
transcript.whisperx[20].end |
2323.021 |
transcript.whisperx[20].text |
臺灣金融聯合都市更新股份有限公司林旺根董事長臺灣金融督導管理委員會文副主委陳彥良副主委銀行局副局長林志吉 |
transcript.whisperx[21].start |
2327.565 |
transcript.whisperx[21].end |
2341.898 |
transcript.whisperx[21].text |
證券期貨局高金平副局長保險局副局長蔡副局長檢察局賴新國副局長臺灣證券交易所李愛玲總經理 |
transcript.whisperx[22].start |
2352.461 |
transcript.whisperx[22].end |
2375.777 |
transcript.whisperx[22].text |
因為今天董事長林修銘請假是由李愛玲總經理代表出席接著我們再介紹我們的櫃買中心董事長簡立中董事長還有我們的陳立青總經理華務部參事林峰文 |
transcript.whisperx[23].start |
2379.961 |
transcript.whisperx[23].end |
2391.571 |
transcript.whisperx[23].text |
我先介紹現場的委員我首先介紹第一到現場的是吳秉瑞委員還有林德虎委員 |
transcript.whisperx[24].start |
2397.301 |
transcript.whisperx[24].end |
2415.675 |
transcript.whisperx[24].text |
本席來報告今日議程安排,那就是我們一、邀請莊部長翠雲進行業務報告二、審查行政院函請審議的《證券交易稅條例第二條之二及第十二條條文修正草案》 |
transcript.whisperx[25].start |
2417.176 |
transcript.whisperx[25].end |
2438.527 |
transcript.whisperx[25].text |
還有委員羅明財等20人一具《證券交易稅法條例第二條之二條文修正草案》委員賴世寶等25人、委員吳立法等19人分別一具《明據《證券交易稅法條例第二條之二及第十二條條文修正草案》 |
transcript.whisperx[26].start |
2439.647 |
transcript.whisperx[26].end |
2450.113 |
transcript.whisperx[26].text |
委員、邱志偉等19人一句就是《證券交易稅條例第十二條條文修正草案》那我們就請先 |
transcript.whisperx[27].start |
2455.069 |
transcript.whisperx[27].end |
2467.112 |
transcript.whisperx[27].text |
我們就先請提案的委員說明在現場提案委員沒有到現場我們是不是請莊部長進行業務報告說明還有回應委員的提案那種莊部長請 謝謝 |
transcript.whisperx[28].start |
2481.377 |
transcript.whisperx[28].end |
2502.333 |
transcript.whisperx[28].text |
主席、各位委員先進大家好今天貴委員會召開第11屆第二期的全體委員會議本人應邀率本部主管同仁列席提出業務報告以下僅就中央政府總預算收入的編列還有執行情形、近半年的重要施政績效以及未來施政的方向與重點提出報告 |
transcript.whisperx[29].start |
2503.214 |
transcript.whisperx[29].end |
2512.757 |
transcript.whisperx[29].text |
首先有關中央政府總預算113年度的執行情形我們稅入截至9月底實收數是2兆4518億元達成預算的90%其中稅客收入實收數是達到2兆1415億元達成預算數的92.5%營業營餘及事業收入 |
transcript.whisperx[30].start |
2524.962 |
transcript.whisperx[30].end |
2528.445 |
transcript.whisperx[30].text |
十周數達到1821億元達成率是63.5%至於規費、罰賠款以及財產和其他收入十周數有1283億元達成率是103% |
transcript.whisperx[31].start |
2540.017 |
transcript.whisperx[31].end |
2545.219 |
transcript.whisperx[31].text |
在融資性的財源部分債務舉借的預算數因為稅務執行優於預期所以全數並沒有舉借而債務還本的預算數1150億元已經全數執行完成並且補足了債務還本預算數未達稅客收入5%的差額8億元合計已經還本1158億元 |
transcript.whisperx[32].start |
2562.845 |
transcript.whisperx[32].end |
2569.069 |
transcript.whisperx[32].text |
對於有關中央政府總預算114年度的編列情形在稅入部分我們編列了3兆1534億元稅出編列了3兆1325億元稅入稅出的盈餘是209億元支應債務還本1400 |
transcript.whisperx[33].start |
2578.556 |
transcript.whisperx[33].end |
2593.342 |
transcript.whisperx[33].text |
一十五億元上區融資調度是一千兩百零六億元規劃一用以前年度的稅計剩餘五百億元以及舉債七百零六億元來支應總預算案舉債佔稅出比例是百分之二點三 |
transcript.whisperx[34].start |
2594.002 |
transcript.whisperx[34].end |
2596.263 |
transcript.whisperx[34].text |
並記前瞻計劃等特別預算的舉債數1607億元合計舉債是2313億元所以預估114年底中華政府一年以上公共債務未償餘額是6兆8098億元 |
transcript.whisperx[35].start |
2610.465 |
transcript.whisperx[35].end |
2615.771 |
transcript.whisperx[35].text |
佔前三年度明目GDP的平均數是28.6%佔交比113年底的預算數會減少1.1個百分點那麼符合公債法中債務存量40.6%的上限規定但以實際數來看 |
transcript.whisperx[36].start |
2627.602 |
transcript.whisperx[36].end |
2656.071 |
transcript.whisperx[36].text |
截至9月底中央政府一年以上的公共債務未償餘額是5兆8780億元占前三年度明目GDP的平均數是26%那麼接下來報告本部近半年的重要施政績效曾盟會委員會的協助以及指教在上個會期順利完成所得稅法營業稅法以及海關進口稅責等法案的修正並且優化了新清安貸款的管理措施配合國家重要政策提供所需的用地 |
transcript.whisperx[37].start |
2656.511 |
transcript.whisperx[37].end |
2677.964 |
transcript.whisperx[37].text |
以及積極引進民間資源、投資、公共建設及推動多項的變民措施那麼113年目的及會議國際姓名機構以我國穩健財政的管理以及具備堅實的財政韌性持續維持我國主權信用平等的好成績顯見政府落實財政健全的努力相關資料請參閱我們的書面報告第三頁到第十六頁 |
transcript.whisperx[38].start |
2681.906 |
transcript.whisperx[38].end |
2689.888 |
transcript.whisperx[38].text |
那麼最後報告未來施政的方向以及重點首先在國庫業務的部分我們會秉持財政穩健的原則入力達成預算目標嚴格管控債務的比例課尊財政紀律那在地方財政我們會透過考核輔導及教育研習方面協助地方政府提升財務效能並按月監管 |
transcript.whisperx[39].start |
2704.433 |
transcript.whisperx[39].end |
2723.546 |
transcript.whisperx[39].text |
財務情形敦促地方政府改善財務的狀況在達成永續金融發展目標方面我們會持續督導公股金融事業推動ESG倡議平台的執行方案包括把投融資及商品審查的流程納入ESG的因子以及上市公股金融事業訂定內部碳定價等 |
transcript.whisperx[40].start |
2725.487 |
transcript.whisperx[40].end |
2750.967 |
transcript.whisperx[40].text |
善盡企業的社會責任在經濟統籌稅款分配機制方面我們持續就分配指標會商相關部會及地方政府的意見逐步縮小旗艦擴大共識在負稅業務部分我們在優化稅制方面會因應全球企業最低稅負制來調整我國的所得稅制並且兼顧地方政府發展的需要維持地方財政自主修正一律稅法為落實納稅者權利保護法的意旨我們會修正 |
transcript.whisperx[41].start |
2754.009 |
transcript.whisperx[41].end |
2767.129 |
transcript.whisperx[41].text |
《菸酒稅法》、《使用牌照稅法》以及《土地稅法》相關查法裁罰倍數的規定在《配合政策研修法規》部分為了促進證券市場持續發展以及降低它的不確定性修正證交稅條例 |
transcript.whisperx[42].start |
2769.256 |
transcript.whisperx[42].end |
2778.703 |
transcript.whisperx[42].text |
為建構身心障礙者、行動不便者、無障礙友善的乘車環境我們會修正貨物稅條例在精進檢證便民措施方面我們會持續地簡化報稅流程把手機報稅由五個步驟簡化為三個步驟並且從今年11月起我們會新增房屋稅、地價稅、使用牌照稅補徵案件的線上查繳稅服務我們會導入AI技術運用在稅務的智慧查審 |
transcript.whisperx[43].start |
2796.115 |
transcript.whisperx[43].end |
2817.912 |
transcript.whisperx[43].text |
以及資安防護等等面向來達成精準選案及提供民眾新體驗等目標來建構一個高效能的稅務智慧服務促進財稅合作以及深化國際的參與推動與印太地區及經貿投資密切國家洽簽租稅以及財政合作的協定擴展我國執行稅務用途資訊交換網絡 |
transcript.whisperx[44].start |
2819.273 |
transcript.whisperx[44].end |
2837.388 |
transcript.whisperx[44].text |
以及透過參與國際組織來推動實質的財政外交那麼在關務的部分我們會推動海關數位轉型以數位海關再造計畫來規劃新一代的通關系統服務架構提升通關效率同時運用AI系統提升我們的效能優化A |
transcript.whisperx[45].start |
2838.649 |
transcript.whisperx[45].end |
2857.825 |
transcript.whisperx[45].text |
X光的判讀氣勢還有事後集合選案的系統強化我們的辨識能力還有增進事後集合的效能持續精進科技的查緝設備執行海關巡渠艇的太舊喚星第二期及各項儀檢站的固定式貨櫃檢查儀的建置計畫並且我們會配合桃園機場第三航廈的新建進度建置相關的儀檢設備強化邊境查緝的效能 |
transcript.whisperx[46].start |
2866.952 |
transcript.whisperx[46].end |
2886.43 |
transcript.whisperx[46].text |
深化國際官務的合作交流推動和重要貿易夥伴國家我們洽簽官務付諸的協定加強和各國的海關合作建構一個便捷安全的通關環境在國產業務部分積極地推動國有非公用不動產接管、管理、改良利用等 |
transcript.whisperx[47].start |
2886.69 |
transcript.whisperx[47].end |
2900.74 |
transcript.whisperx[47].text |
各項業務以及多元方式的活化並且配合國家的政策與產業的發展需求來提供國有土地那麼在促餐業務部分依照均衡台灣的政策目標促請中央各部會積極以促餐的方式 |
transcript.whisperx[48].start |
2903.261 |
transcript.whisperx[48].end |
2926.802 |
transcript.whisperx[48].text |
來引進民間的資金投資國內的公共建設並且持續優化促餐的推動環境積極協助排除履約的困難提升促餐推動的量能以上財政工作的重點報告承蒙貴委員會的協助以及督導使本部各項業務能夠順利推展並有所成效未來仍將以國家永續發展 |
transcript.whisperx[49].start |
2927.523 |
transcript.whisperx[49].end |
2949.688 |
transcript.whisperx[49].text |
及增進人民福祉為目標克尊財政紀律以積極的行動、創新的思維、努力推動各項工作敬請各位委員繼續支持與指教使財政工作更增完善謝謝大家接下來是不是報告一下有關證交稅條例的這個部分那麼今日貴委員會審查行政院函請審議的證交稅 |
transcript.whisperx[50].start |
2952.897 |
transcript.whisperx[50].end |
2959 |
transcript.whisperx[50].text |
以及大院委員擬據的證交稅條例的相關條文修正草案等7案本部請作簡要的說明進行指教參據經管會的意見 |
transcript.whisperx[51].start |
2968.623 |
transcript.whisperx[51].end |
2996.245 |
transcript.whisperx[51].text |
現股當日沖銷交易的證券交易稅稅率由千分之三調降為千分之1.5就是我們一般所稱的當沖降稅措施從106年的4月實施以來成效符合預期的目標可降低投資人的交易成本維持證券市場的流動性並且帶動整體資本市場的活絡考量當沖降稅的措施會在今年12月底屆期而且證券市場 |
transcript.whisperx[52].start |
2996.886 |
transcript.whisperx[52].end |
3016.073 |
transcript.whisperx[52].text |
容易受國際政治還有經濟情勢變動的影響為了維持證券市場交易動能促進市場穩定發展以及降低不確定性和金管會我們達成共識延長當中降稅措施3年到116年12月31日那麼以事實檢討實施的效果穩動調整另外證交稅的繳款書的送達我們要回歸行政程序法規定來辦理 |
transcript.whisperx[53].start |
3025.916 |
transcript.whisperx[53].end |
3050.714 |
transcript.whisperx[53].text |
減少徵納雙方的爭議各委員提案的修正意旨與行政院的版本相同其中羅委員明財等20人及賴委員世保等25人的提案是延長當沖降稅措施5年的部分考量台股市場流動性以大幅改善但是國際地緣政治的風險升溫以及國際經濟比如像美國經濟的情勢未明等等 |
transcript.whisperx[54].start |
3051.294 |
transcript.whisperx[54].end |
3073.231 |
transcript.whisperx[54].text |
那麼延長當沖降稅措施三年比較能夠及時因應資本市場的變化以適時檢討實施的效果滾動調整並且和前兩次的延長期間相當前兩次的期間就是三年、八個月以及三年那麼以上報告以及說明敬請各位委員指教建請會議支持行政院版本謝謝 |
transcript.whisperx[55].start |
3074.721 |
transcript.whisperx[55].end |
3075.822 |
transcript.whisperx[55].text |
法定人數不足 |
transcript.whisperx[56].start |
3097.31 |
transcript.whisperx[56].end |
3115.499 |
transcript.whisperx[56].text |
是主席、各位委員、各位先生、女士今天大院11屆第二次會期求請審查《證券交易稅條例第二條之二》的修正草案提出報告自感榮幸敬請各位委員指教首先我們必須要知道 |
transcript.whisperx[57].start |
3116.8 |
transcript.whisperx[57].end |
3139.401 |
transcript.whisperx[57].text |
當沖降稅這個地方是中性工具所以其實我們要看的是實證上面數據怎麼的一個變化第一個在成交量上面的變化當沖降稅是106年4月28號實施迄今其實呢它已經成長了199%將近於兩倍所以目前的日成交均額是2952億 |
transcript.whisperx[58].start |
3141.443 |
transcript.whisperx[58].end |
3150.988 |
transcript.whisperx[58].text |
在指數的變化也是可以看到從當時106年4月28號到現在我們的集中交易市場跟櫃買交易所跟櫃買這邊它的指數也分別上漲125%跟102% |
transcript.whisperx[59].start |
3157.731 |
transcript.whisperx[59].end |
3179.819 |
transcript.whisperx[59].text |
而當初的投資人違約的一個情形也就是說我們時常會擔心這是不是在當初快速的上下當中會有違約的一個情形我們來看呢因為台股已經建立了一個所謂的市場風險控管期事業相對的措施而且其實現在的投資人已經能理解我們股市上面的一個風險所以是說108年到100年 |
transcript.whisperx[60].start |
3183.541 |
transcript.whisperx[60].end |
3198.226 |
transcript.whisperx[60].text |
民國一百二十二年,當沖違約的人數都低於萬分之一。當然,只有民國一百二十二年自然人當沖交易違約的人數比例略高於非當沖者。 |
transcript.whisperx[61].start |
3199.966 |
transcript.whisperx[61].end |
3219.335 |
transcript.whisperx[61].text |
所以是說在各年當沖違約比率其實都是非當沖的低而到現在為止今年一到八月的時候當沖違約人數已經降到萬分之零點七三也低於目前非當沖違約人數佔萬分之一點四三為低 |
transcript.whisperx[62].start |
3222.876 |
transcript.whisperx[62].end |
3248.618 |
transcript.whisperx[62].text |
而國際上來看的話不管是美國、日本、新加坡都沒有交易稅而香港是我們所謂的千分之一而韓國目前在逐步下調到千分之1.5而法國交易稅是千分之三英國是千分之五而且對造勢者均免苛徵所以是說我們在各國來看的話其實相對的 |
transcript.whisperx[63].start |
3249.198 |
transcript.whisperx[63].end |
3262.754 |
transcript.whisperx[63].text |
我們並沒有是特別的一個所謂的高而當最後我們來看到對於一個所謂的資本市場的一個發展的影響剛剛有講過其實它就是一個工具而在這個所謂的當沖呢其實它會促進證券市場的一個活絡 |
transcript.whisperx[64].start |
3268.2 |
transcript.whisperx[64].end |
3289.451 |
transcript.whisperx[64].text |
所以是說其實當然也有人在中間賺取價差但相對是小的微小價差而會促進一個所謂的流動量的一個提供而且它會讓我們快速的一個發現價格所以對於縮小證券買賣價差促進整體資本市場活絡是有幫助的 |
transcript.whisperx[65].start |
3290.251 |
transcript.whisperx[65].end |
3318.428 |
transcript.whisperx[65].text |
再者對於資本市場的一個發展跟政府的證交稅的收入其實在這兩方面也都是往上所以是說在坐標的我們看到不管是市場不管是稅收是雙頭並進而這個地方在量能好的時候其實掛牌公司它有享受到一個比較高的所謂本益比跟股價淨值的上升而且它的投資成本也會下降 |
transcript.whisperx[66].start |
3319.248 |
transcript.whisperx[66].end |
3337.254 |
transcript.whisperx[66].text |
提升它的競爭力也會吸引優良的企業進駐持續注入進駐臺灣而且會帶動一個證券產業的一個發展所以政府在這個地方也可以增加我們的稅收而我們目前為止為什麼是說三年其實 |
transcript.whisperx[67].start |
3338.694 |
transcript.whisperx[67].end |
3363.868 |
transcript.whisperx[67].text |
委員們各個的提案都是贊成但是會有一些所謂的三年五年這時間上的一個不一樣其實也是因應目前國際上面仍然有許多不確定的因素不管是美國降稅中美科技戰或者是景氣循環低迷的時候都需要我們所謂的這個當沖災的地方來做一些避免陷入我們市場陷入一個流動性風險 |
transcript.whisperx[68].start |
3365.734 |
transcript.whisperx[68].end |
3384.017 |
transcript.whisperx[68].text |
而在景氣復甦的時候也可以有一些些的價差讓投資人享受到一些利益而策略性的交易需求也可以維持市場的動能最後正如我剛剛提到各版本的分析 |
transcript.whisperx[69].start |
3384.798 |
transcript.whisperx[69].end |
3402.663 |
transcript.whisperx[69].text |
整體而言都是贊成我們在這個羅委員明才等20人賴委員世保等25人吳委員麗華等19人跟賴委員惠元等37人林委員楚英等19人所提的一個修法草案的這些五案當中呢 |
transcript.whisperx[70].start |
3405.644 |
transcript.whisperx[70].end |
3431.594 |
transcript.whisperx[70].text |
都是贊成延長只是如我所言其實延長的時間長短的版本呢跟我們這個行政院含送大院的版本不同那也如同剛剛部長所說我們呢其實三年在這個地方的因應國際的一個所謂的情勢我們維持激動彈性的一個調整在結論上面我們可以看到這不管是市場動能會稅收是雙頭上前 |
transcript.whisperx[71].start |
3433.495 |
transcript.whisperx[71].end |
3454.349 |
transcript.whisperx[71].text |
前進而延長條件當中這個證交稅有助市場流通性縮小一個買賣價差發現價格深化資本市場的一個效能對於我國經濟的成長也是有怎樣的實質的一個幫助儘管為呢在這個地方呢也 |
transcript.whisperx[72].start |
3455.69 |
transcript.whisperx[72].end |
3478.215 |
transcript.whisperx[72].text |
請各位委員能支持行政院函請審議同條文的修正草案我們也會協同周邊單位我們的證交所歸買中心持續積極推動相關活絡股市的一個措施以提升資本市場的競爭力以上報告也祝各位委員和家喜樂平安身體健康謝謝 |
transcript.whisperx[73].start |
3480.929 |
transcript.whisperx[73].end |
3497.407 |
transcript.whisperx[73].text |
好 謝謝接著我們再補充介紹賴思寶委員在現場那請問一下賴思寶委員你要做那個提案說明嗎沒有齁好那針對的本日議程現在開始詢答先做以下的先告 |
transcript.whisperx[74].start |
3498.615 |
transcript.whisperx[74].end |
3524.967 |
transcript.whisperx[74].text |
一、每位出席的委員花言的時間本委員會是8分鐘必要的時候可以延長2分鐘每位列席的委員花言的時間是5分鐘今天上午10點我們就截止花言的登記本次會議的委員若有相關的修正動議請敬送主席台現在一登記的順序我們請登記第一順位的林德虎委員質詢 |
transcript.whisperx[75].start |
3537.877 |
transcript.whisperx[75].end |
3555.014 |
transcript.whisperx[75].text |
謝謝主席、莊部長還有與會各列席官員各銀行的董事長、總經理還有金管會副局長以及所有列席金管會的官員是不是請莊部長莊部長 |
transcript.whisperx[76].start |
3562.612 |
transcript.whisperx[76].end |
3590.666 |
transcript.whisperx[76].text |
委員長你好對於台美租稅協定的推動時程因為本席曾經質詢過這一屆國會改選前有沒有機會來通過你說就算是美國下屆新國會財政部也是會努力的來推動請問部長財政部一直努力在推動但是到目前為止還是沒有辦法確定它的進度 |
transcript.whisperx[77].start |
3591.747 |
transcript.whisperx[77].end |
3597.03 |
transcript.whisperx[77].text |
就你所知,原因真的是美國國會的兩黨的國會議員對於同樣包括在內的美國國內稅法有不同意見嗎? |
transcript.whisperx[78].start |
3610.094 |
transcript.whisperx[78].end |
3626.895 |
transcript.whisperx[78].text |
各位委員報告有關台美ADTA這個案子包括快速減免法案跟授權法案在這個眾院的時候一月就已經通過了那現在目前在參院那又尤其是因為它是包國法案那包國法案裡面因為對於其他的另外一個法務 |
transcript.whisperx[79].start |
3629.616 |
transcript.whisperx[79].end |
3655.713 |
transcript.whisperx[79].text |
參議院有意見以至於這個案子目前停滯在參議院但是就我所知美方的行政部門以及國會跨黨派的議員依然是非常支持臺美洽簽ADTA這個案子不管是本部跟對方的美方的財政部也好或者是外交部以及我們的駐美代表以及還有AIT這邊都非常的密切的關注這個案子的推動情形 |
transcript.whisperx[80].start |
3657.194 |
transcript.whisperx[80].end |
3666.478 |
transcript.whisperx[80].text |
你認為有沒有可能藉由包裹立法手段取得貿易談判的籌碼有關貿易談判這個部分事實上並不是在這個包裹法案裡面那有關貿易談判因為也不是屬於我們財政部在我方也不是財政部的執掌在對方也不是美方的財政部執掌而在我們這邊是由經貿談判公司在主政所以我們這個部分事實上是我們在積極推動有關 |
transcript.whisperx[81].start |
3684.306 |
transcript.whisperx[81].end |
3705.174 |
transcript.whisperx[81].text |
我們會積極的跟美方這邊做相關的密切關注的一些聯繫當然我們也知道美國在11月就有大選那這個部分恐怕等大選後才會有進一步的進展因為幾個禮拜前AIT處長古立炎來拜會財政部那請問你和古立炎處長對台美避免雙重課稅協定這個 |
transcript.whisperx[82].start |
3710.046 |
transcript.whisperx[82].end |
3737.261 |
transcript.whisperx[82].text |
的現況到底有沒有進一步討論或看法?跟委員報告鼓勵原處長因為從7月就任到AIT處長以後他就禮貌性的拜會我國的相關的部會所以在上個月來到財政部那都是禮貌性的拜會有沒有談到這一點是禮貌性沒有談是不是?ADTA這個事情當然每方關注我方也關注彼此都會談到那當然就是就如同我剛剛所報告目前在參議院 |
transcript.whisperx[83].start |
3739.322 |
transcript.whisperx[83].end |
3754.053 |
transcript.whisperx[83].text |
那要恐怕等到美國大選以後看看有沒有再進一步的機會推動那因為股處長其實也是第三次到台灣就任我們財政部的一些高階的主管們其實跟他都熟識所以也有一些敘舊的大家都聊得蠻開心的 |
transcript.whisperx[84].start |
3755.074 |
transcript.whisperx[84].end |
3781.659 |
transcript.whisperx[84].text |
近來中國動作博大連APEC特使人選都傳出中國有意見那基於美國、中國以及台灣的雙方關係的變化那整個目前台美租稅協定的進度你認為有沒有中國介入干預變數的存在有沒有我沒有這樣方面的訊息並沒有聽到這樣的訊息沒有齁部長 |
transcript.whisperx[85].start |
3782.879 |
transcript.whisperx[85].end |
3803.307 |
transcript.whisperx[85].text |
在全球貿易這個整個貿易全球化的時代台灣的產業想要做全世界的生意除了強化自身產品的品質特色和安全外那再加入區域經濟組織和簽署自由貿易協定絕對是有其必要但是吼這些年吶 |
transcript.whisperx[86].start |
3804.167 |
transcript.whisperx[86].end |
3817.697 |
transcript.whisperx[86].text |
台灣與其他國家洽簽的自由貿易協定的進度可以說非常的緩慢幾乎沒有進展宣傳多年的這個CPTPP就是跨太平洋這個 |
transcript.whisperx[87].start |
3820.086 |
transcript.whisperx[87].end |
3840.365 |
transcript.whisperx[87].text |
合同全面進步協定到現在為止也沒有具體的進展就是連宣稱關係友好的美日和澳簽訂的FTA也看不到它的結果部長對於產業轉型政府或許持續的推動 |
transcript.whisperx[88].start |
3841.246 |
transcript.whisperx[88].end |
3863.518 |
transcript.whisperx[88].text |
但是你認為光是數位轉型品牌的建立就能夠協助這些弱勢產業找到真正的春天嗎?我想我們要強化我們自己的產業不管是轉型也好或是淨零也好、淨零排碳也好都是國際競爭上面需要做到的那至於參與所謂的國際的所謂TPP等等 |
transcript.whisperx[89].start |
3866.9 |
transcript.whisperx[89].end |
3884.085 |
transcript.whisperx[89].text |
那行政院的經貿辦公室都會在後面...但是都沒有進展啊!這個部分應該他們會更清楚有啦!很高調啦!但是都沒有進展啦!換句話說如果自由貿易協定還是沒有辦法簽訂你認為整個國內產業在供應鏈重組的這個短鏈革命中又應該要怎麼樣去面對它的挑戰呢? |
transcript.whisperx[90].start |
3893.387 |
transcript.whisperx[90].end |
3918.614 |
transcript.whisperx[90].text |
我們要強化我們自己的產業體制然後在國際上取得一個關鍵的地位我們以我們的出口來說我們的今年的出口其實會創一年的次高我們是有信心尤其我們在AI以及人工智慧高效能運算這方面具有產能以及製程的優勢那這個部分我們在國際上具有關鍵地位的時候別人自然就需要靠我們的一個供應那個部長 |
transcript.whisperx[91].start |
3921.755 |
transcript.whisperx[91].end |
3936.286 |
transcript.whisperx[91].text |
其實齁,台積電就看出來了啦。他們人家要我們去設,我們就設。到現在為止怎麼樣?幾乎啦。講實在話,我們一取一求,但是我們要跟人家洽簽,人家就慢慢來吧。 |
transcript.whisperx[92].start |
3937.507 |
transcript.whisperx[92].end |
3961.107 |
transcript.whisperx[92].text |
我認為這方面政府應該要去想辦法突破部長媒體報導台股當沖降稅優惠今年年底屆期行政院版的修法延長優惠的措施到2027年底一股股市日均值能夠維持在4000億元到4500億元左右之間 |
transcript.whisperx[93].start |
3962.648 |
transcript.whisperx[93].end |
3975.553 |
transcript.whisperx[93].text |
那部長當中降稅的千文之三降到千文之一1.5最早是2017年4月28號實施經過兩度的延長請問目前修法延長是不是唯一的選項 |
transcript.whisperx[94].start |
3978.231 |
transcript.whisperx[94].end |
4002.423 |
transcript.whisperx[94].text |
這個部分我們跟金管會有過相關的討論當然資本市場或證券市場相關的一個流動性或增加它的活絡性它的措施有很多那這個部分當沖降稅是其中的一項我想應該不是唯一那我請問你部長能不能說明當沖降稅常態化和取消當沖降稅被行政院排除的理由 |
transcript.whisperx[95].start |
4004.475 |
transcript.whisperx[95].end |
4019.721 |
transcript.whisperx[95].text |
當中降稅常態化這個部分我們必須要說明依據納稅者權力保護法的規定租稅的優惠要明定實施的年限要達成它合理的政策目的為限不可以過度所以沒有所謂把它取消然後成為常態化的目的 |
transcript.whisperx[96].start |
4021.501 |
transcript.whisperx[96].end |
4048.421 |
transcript.whisperx[96].text |
至於要不要取消當中降稅這樣的一個措施我想金管會剛剛副主委已經有過相關的一個說明基本上我們認為維持證券市場的一個流動性而且代表整體資本市場的一個活絡照部長跟剛剛金管會的說法就是不能常態化卻能接受動態調整合理化修法來延長當中降稅他理由的依據到底是什麼 |
transcript.whisperx[97].start |
4049.201 |
transcript.whisperx[97].end |
4068.097 |
transcript.whisperx[97].text |
就是剛剛委員所說的就是一個動態的調整那這個期間上我們認為是三年適宜的那如果要是取消當中降稅中央政府稅收股市成交量能這個台股投資人外資以及國內財經等等層面有哪些會受到 |
transcript.whisperx[98].start |
4069.137 |
transcript.whisperx[98].end |
4087.957 |
transcript.whisperx[98].text |
最大的一個衝擊跟委員報告證券市場的交易量受到許多因素的影響不管是政治、經濟還有國際情勢、投資人的心理等等的因素那當沖降稅會造成交易量多大的一個變化可能單獨要把它分裂出來並不是一個容易而且具體客觀的一個數據部長是 |
transcript.whisperx[99].start |
4089.218 |
transcript.whisperx[99].end |
4107.31 |
transcript.whisperx[99].text |
因為本席認為說這個納保法第六條租稅優惠常態化的可行性被排除以導致政府修法延長當沖降稅每次要找不同的條件讓修法延長合理化那我請問部長你認為 |
transcript.whisperx[100].start |
4110.331 |
transcript.whisperx[100].end |
4128.883 |
transcript.whisperx[100].text |
這是修法的常態嗎?因為資本市場的變動因素很多當然在修法的時候他必須考量當時的一些情形來作為是不是要做持續延長的一個因素那因為以前的狀況跟現在狀況有不同的時候當然修法的理由就會有不同 |
transcript.whisperx[101].start |
4129.423 |
transcript.whisperx[101].end |
4157.766 |
transcript.whisperx[101].text |
部長當初當沖降稅是基於股市量能創新低那基於振興股市的考量結果第一次延長第二次的延長理由不但不同甚至於就像為了刺激台股量能當沖降稅宛如稀釋興奮劑也在所不惜那我請問部長難道不會造成整個政策這個降稅修法污名化嗎 |
transcript.whisperx[102].start |
4159.282 |
transcript.whisperx[102].end |
4181.941 |
transcript.whisperx[102].text |
我想我們會極力的說明為什麼會要這樣降稅那金管會剛剛副主委也說明的很清楚這樣的一個措施採取的一些理由那或者部長你認為未來還會有第四次延長第五次延長會不會這個部分沒有辦法做預期因為本席認為說因為三年的時間的變動其實是有因為本席認為說真的 |
transcript.whisperx[103].start |
4183.522 |
transcript.whisperx[103].end |
4192.783 |
transcript.whisperx[103].text |
要慎重考量修法延長時間的條件修法次數的政策必須要與 |
transcript.whisperx[104].start |
4194.915 |
transcript.whisperx[104].end |
4218.021 |
transcript.whisperx[104].text |
的重要性並且要合理化因為你一次又一次一次又一次幾乎都是用那種就是為了這個當沖降稅然後一直展延所以說這個部分我認為財政部跟金管會應該好好審慎的去做處理是的我們兩個部會其實都有做審密的一個討論是的好謝謝謝謝委員 |
transcript.whisperx[105].start |
4221.707 |
transcript.whisperx[105].end |
4222.487 |
transcript.whisperx[105].text |
主席麻煩請財政部莊部長請部長 |
transcript.whisperx[106].start |
4248.13 |
transcript.whisperx[106].end |
4258.355 |
transcript.whisperx[106].text |
市長早今天媒體有報導說今年度到9月底為止的稅收狀況是不是你稍微做說明一下 |
transcript.whisperx[107].start |
4259.171 |
transcript.whisperx[107].end |
4270.762 |
transcript.whisperx[107].text |
是跟報告就是說今年到9月底的稅收做全國的稅收是達到兩兆9453億那達成全年的預算數到91%那在中央的部分的我們稅收是有兩兆1415億那也達成我們的預算數的92.5%那我們在評估這樣的一個 |
transcript.whisperx[108].start |
4285.076 |
transcript.whisperx[108].end |
4307.718 |
transcript.whisperx[108].text |
一般來說,增加的稅收主要是中所稅。中所稅基本上已經達成了我們的預算數。另外就是還有證交稅,它也達成了我們的預算數。這個部分是稅收的情況。另外在營業稅的部分事實上收取的也不錯,也比去年度同年的中央部分是增加243億。 |
transcript.whisperx[109].start |
4309.159 |
transcript.whisperx[109].end |
4324.186 |
transcript.whisperx[109].text |
可以看出來國內的需求的一個穩定的成長以及進口原物料的一個增加所以讓我們的營業稅也成長從9月是這樣子那你預估今年的稅率增收的最後能夠達到怎麼樣的規模 |
transcript.whisperx[110].start |
4326.832 |
transcript.whisperx[110].end |
4355.935 |
transcript.whisperx[110].text |
是,委員報告到9月底數據是這樣子那到今年我們之前就講我可以達成預算數沒有問題但是會超出預算數的金額我們大概目前可以講說超出預算數應該會達到一千億至於詳細的數據因為9月的部分因為有營所稅的佔小稅款到10月會入帳所以會更明確那目前來說是中央中央的部分一千億是比較保守的估計我們先做保守的估計 |
transcript.whisperx[111].start |
4356.857 |
transcript.whisperx[111].end |
4380.363 |
transcript.whisperx[111].text |
對阿,所以我去年跟你說的你們的那個稅入的那個估算喔還是真的還是比較保守,對不對?跟實際上比起來?跟委員報告,在稅入的估算的部分其實我們已經一直在改進,包含我們成立了估測的專案小組那對於各個稅務影響的稅收的一個因子我們都做過討論但是今年有一個情況就是我們的證交稅 |
transcript.whisperx[112].start |
4381.463 |
transcript.whisperx[112].end |
4388.306 |
transcript.whisperx[112].text |
正交稅的部分我們原來在預算數編列的時候今年的日均量是3500億但是到目前為止大概都有5000億一個日均量有達到5000億所以這個部分正交稅事實上是最難估測的一個數據所以正交稅到目前為止我們已經收到2207億那麼預算數是2087億所以已經超過預算數 |
transcript.whisperx[113].start |
4404.787 |
transcript.whisperx[113].end |
4433.217 |
transcript.whisperx[113].text |
好啦 我是做整體跟你講啦每次跟你們講你們估算的時候都有一堆理由把它估得比較保守那這個也難 我也沒有為難 責難你們的意思因為這樣公務員達到預期的這個目標董事都能夠超過百分之百嘛但是我是覺得那個差距最好不要能夠小比較好再來就是去年通過了今年度的舉借本來是要舉借多少 |
transcript.whisperx[114].start |
4435.553 |
transcript.whisperx[114].end |
4456.76 |
transcript.whisperx[114].text |
一千多億一千多少一千我看一下原來舉要編列的一千七百多億全部都沒有舉借嗎本來一千五百七十一億到目前為止並沒有舉借而且如果你預算今年度是超過預算數的話大概也不會舉借 |
transcript.whisperx[115].start |
4458.971 |
transcript.whisperx[115].end |
4471.701 |
transcript.whisperx[115].text |
對,對,然後我們債也先還了,都還了,所以是實質還貸所以你的那個報告的第三頁,小跨屋的二齁,這個我已經跟你講過非常多次了我跟財政部提醒過非常多次,你們那個總體的那個 |
transcript.whisperx[116].start |
4474.161 |
transcript.whisperx[116].end |
4497.051 |
transcript.whisperx[116].text |
公共債務未償餘額你老是要用預算數幾年相加然後等到決算算完之後但是決算會落後兩年嘛那兩年把這個預算數的估計數都加進來所以你看現在你的預估數如果照你的報告預估數是6兆8千多億 |
transcript.whisperx[117].start |
4498.393 |
transcript.whisperx[117].end |
4525.965 |
transcript.whisperx[117].text |
但是實據數才5兆8千多億差了將近一兆你知道嗎是的那這個因為預算的編列有預算編列的規則我知道那我的意思說你在寫報告的時候事實上沒有舉借而今年也不用舉借所以是已經還款的部分難道不能夠扣掉嗎你就要照那個預算說我前兩三年的舉借事實上都沒舉借啊結果還一直把它累積 |
transcript.whisperx[118].start |
4527.558 |
transcript.whisperx[118].end |
4544.956 |
transcript.whisperx[118].text |
所以你我跟你說現在如果媒體或是國人拿你這個報告說一估114年底中央政府的預算中央政府的舉借會長債務與委員會6兆8千多億所以我們國人每一個人事實上負債多少多少 |
transcript.whisperx[119].start |
4546.141 |
transcript.whisperx[119].end |
4568.672 |
transcript.whisperx[119].text |
人家也沒有錯啊是照你的報告來的啊但是那跟事實的差距會有很大的差距啊委員說得很是沒有錯那所以我們在報告第三頁裡面同時也提到就是說到9月底的實際稅稅照不是啦那人家也沒有義務人家沒有義務要把這講整篇吧所以我是說你們的寫法我已經提了很多年了 |
transcript.whisperx[120].start |
4569.412 |
transcript.whisperx[120].end |
4591.565 |
transcript.whisperx[120].text |
能不能寫得讓大家更能夠了解真正債務的狀況而不是用這樣子的方式我知道你這個金額是以前的未償預額加上這三年的舉借數問題是這三年都沒有舉借是預算編列事實上一毛都沒舉借結果你就把它加進來變成我們的預估數你這個估法太粗糙了 |
transcript.whisperx[121].start |
4592.967 |
transcript.whisperx[121].end |
4607.585 |
transcript.whisperx[121].text |
預算因為編列有一些相關的規則那我想我們未來在報告裡面能夠想得更清楚一點避免外界在引用上錯誤的引用莫名其妙說臺灣的這個中央債務會場域突然之間多了一兆出來 |
transcript.whisperx[122].start |
4609.073 |
transcript.whisperx[122].end |
4609.633 |
transcript.whisperx[122].text |
這是財政部的報告啊 |
transcript.whisperx[123].start |
4623.796 |
transcript.whisperx[123].end |
4624.917 |
transcript.whisperx[123].text |
現在中國政府用財政手段在刺激他們的股市 |
transcript.whisperx[124].start |
4649.881 |
transcript.whisperx[124].end |
4665.286 |
transcript.whisperx[124].text |
所以現在有一個說法叫做無毛硬抄大水漫灌所以中國的股市的控制幾乎就是在中國政府的手裡當然用這個金融財政的手段要去解決實體的經濟問題時間一久也是撐不住的啦 |
transcript.whisperx[125].start |
4670.283 |
transcript.whisperx[125].end |
4674.106 |
transcript.whisperx[125].text |
所以我要問我們公股銀行在中國的曝險這些年的狀況怎麼樣? |
transcript.whisperx[126].start |
4701.724 |
transcript.whisperx[126].end |
4717.332 |
transcript.whisperx[126].text |
包括連帶案有沒有重大預期授信案跟連帶案都沒有由於在這個這幾年來在中國大陸這個部分而我們的公股行庫在承作上其實已經一直在緊縮所以並沒有目前為止並沒有一個重大的一個預期違約案 |
transcript.whisperx[127].start |
4722.135 |
transcript.whisperx[127].end |
4735.146 |
transcript.whisperx[127].text |
香港與中國過去是不同的看法但是香港越來越成為中國內陸的一個城市我們對香港不同的做法各家公股銀行在香港都有一些分支機構 |
transcript.whisperx[128].start |
4736.167 |
transcript.whisperx[128].end |
4742.568 |
transcript.whisperx[128].text |
未來你要怎麼處理?這個部分我們也請我們公股行庫對香港地區也要調降這個他們的風險額度並且要監控這個曝險的部位這個部分都有請相關的公股行庫但是就以到目前為止我們台灣跟香港加上中國的這些金融往來還是相當的密切馬上要脫鉤是很難的所以你要逐步來可是 |
transcript.whisperx[129].start |
4762.972 |
transcript.whisperx[129].end |
4782.193 |
transcript.whisperx[129].text |
香港的地位在美國的國會在眾議院已經通過他要檢討他的那個香港的特殊地位所以他將來可能會把香港認為是一個中國的內陸城市甚至最嚴重的是要最後一步港幣不能夠直接兌換美元 |
transcript.whisperx[130].start |
4783.534 |
transcript.whisperx[130].end |
4804.551 |
transcript.whisperx[130].text |
這個法案現在已經眾議院通過了當然是沒有包括我剛剛講的港幣的部分在檢討它的地位將來參議院也在處理所以香港如果狀況最糟糕繼續因為人權的惡化因為繼續中國的這個高壓統治的這個痛感有可能它的特殊地位會被拿掉 |
transcript.whisperx[131].start |
4805.932 |
transcript.whisperx[131].end |
4827.198 |
transcript.whisperx[131].text |
如果美國把證券的特殊地位拿掉的時候我們台灣的這些公股、航庫要如何運營?是,謝謝委員這樣的一個提醒我想這個部分我們必要的時候可以全面暫停乘坐這樣的一個相關的業務我想這個部分我們會密切關注這樣的一個法案我的意思不是這樣啦因為事實上你要馬上全面的停止這個 |
transcript.whisperx[132].start |
4829.7 |
transcript.whisperx[132].end |
4849.01 |
transcript.whisperx[132].text |
應作是不可能的,而是你要有一個備案、覆案如果發生這樣的狀況的時候要怎麼處理那今天我想不會有答案我覺得你應該要跟公股、行庫之間好好的溝通說有沒有預測到將來有可能有這樣的風險那假如發生這樣的風險的時候準備要怎麼樣的因應 |
transcript.whisperx[133].start |
4850.151 |
transcript.whisperx[133].end |
4869.471 |
transcript.whisperx[133].text |
好,是,謝謝委員的指教要有以待之好不好,加油,努力,謝謝謝謝委員的指教,謝謝好,謝謝本席在這裡報告一下列席的官員在備刑的期間你們如果因為公務上的一個需要需要接受媒體的一個採訪 |
transcript.whisperx[134].start |
4870.632 |
transcript.whisperx[134].end |
4883.462 |
transcript.whisperx[134].text |
那盡量利用會前還是會後還是中間我們休息的時間因為今天我們列席的官員有很多是新生在這裡那個特別做以上的一個報告那接著請賴思寶委員備詢質詢 |
transcript.whisperx[135].start |
4899.948 |
transcript.whisperx[135].end |
4925.615 |
transcript.whisperx[135].text |
謝謝主席先請財政部的莊部長好請部長委員好部長好有關於這個財法法昨天佐隆泰院長在立法院院會大言不慚的說目前的制度就是最好的制度 |
transcript.whisperx[136].start |
4926.96 |
transcript.whisperx[136].end |
4955.625 |
transcript.whisperx[136].text |
他要回去看一看民進黨在野的時候多多有幾次的說修財報法現在他說最好當然最好啊錢在他手上錢在他手上我們要的其實不多我們要的只有說你能不能撥三千億你說你按照你財政部長一直在講說這個個性是很多很多 |
transcript.whisperx[137].start |
4957.041 |
transcript.whisperx[137].end |
4976.76 |
transcript.whisperx[137].text |
問題是不一樣在哪裡有沒有修法在哪裡就是假如按照我們的版本3000億下放給地方這個不要法律上他就有多3000億地方加起來多3000億自己去用不要看你的臉色 |
transcript.whisperx[138].start |
4977.953 |
transcript.whisperx[138].end |
4999.659 |
transcript.whisperx[138].text |
你現在裝在手上玩家看你的臉色不管你增加多少都是看你的臉色這到底的一個霸權的卓榮泰霸權的一個思路我就問你一件事情因為這個事情在這裡我已經罵很久了不願意再浪費太多時間我就問你你今天違反立法院的決議這是很嚴重的喔 |
transcript.whisperx[139].start |
5000.683 |
transcript.whisperx[139].end |
5019.464 |
transcript.whisperx[139].text |
我們去年底的我們三個會期結束之前通過一個決議這個會期開議之前你要把版本送進來到現在為止都沒有我就問你一個問題你先不要跟我講細節我不要聽細節我就問你不送的理由是不是卓榮泰叫你不要送 |
transcript.whisperx[140].start |
5020.284 |
transcript.whisperx[140].end |
5044.259 |
transcript.whisperx[140].text |
跟委員報告六月十九號財委會的一個決議我們非常的重視也很尊重那財政部在八月跟九月都召開兩次會議邀請地方政府來討論那在八月那次會議我們把相關的八十幾個指標已經跟他們調整到五十幾個決議那第二個部分我們也把縮小了這期間然後把供應縮小期間 |
transcript.whisperx[141].start |
5046.158 |
transcript.whisperx[141].end |
5063.423 |
transcript.whisperx[141].text |
你回答我你既然做不到你要不要來跟每一個委員報告一下為什麼做不到你連這個基本的尊重都沒有我們決議的通過那時候你也點頭你同意了我覺得委員可以回覆看一下那個當時的錄影我們有詳細我跟主計長都在場我們有詳細的說明要在這個會期開議前提倡辦法的版本我們有詳細說明我們書面報告也送了 |
transcript.whisperx[142].start |
5073.386 |
transcript.whisperx[142].end |
5098.163 |
transcript.whisperx[142].text |
財委會也都有送給各位委員你有沒有在派會每一個委員跟他說我跟我們的書面報告已經送了那如果各位委員認為我們需要逐一去報告我們也可以逐一去報告我們在報告裡面非常做了非常詳細的一個分析你做不到不要親力承諾就好了我想可以看一下我在那個會上沒有承諾我在這個地方也諮詢過你去年這個時候說APEC |
transcript.whisperx[143].start |
5101.83 |
transcript.whisperx[143].end |
5122.06 |
transcript.whisperx[143].text |
剛才委員提到了APEC有關於你去請問你今年會不會去APEC下個月會的會的嘛請問你會不會見到美國的財長這個部分我們其實還在聯繫當中那另外就是對於這個APEC我們在去年也跟美國的財政部長也有提到我去年諮詢我去年諮詢你的時候 |
transcript.whisperx[144].start |
5125.885 |
transcript.whisperx[144].end |
5128.526 |
transcript.whisperx[144].text |
你承諾公開講今年的六月美國會通過了會失效了結果沒有啊美國眾議院一月就通過那送進參院因為是包裹法案他們對於其他的一個條文有爭議那所以又面臨美國大選我想他們國內的政治情勢這不是我們可以去介入的 |
transcript.whisperx[145].start |
5149.778 |
transcript.whisperx[145].end |
5158.784 |
transcript.whisperx[145].text |
所以你做不到就不要隨便承諾這個也做不到那個也做不到你先不要走我們請一下101的董事長、賈董事長請賈遠傑董事長 |
transcript.whisperx[146].start |
5182.941 |
transcript.whisperx[146].end |
5198.173 |
transcript.whisperx[146].text |
主席好,大委員您好好,你好請問加董事長啊這個有關於101的國慶的煙火外面的批評聲浪很大我借這個機會讓你說明一下公開場合說明一下煙火煙火有時候放得太短啦不夠精彩啦什麼之類的等等你要不要講一下 |
transcript.whisperx[147].start |
5206.112 |
transcript.whisperx[147].end |
5225.944 |
transcript.whisperx[147].text |
好,賴委員我跟您報告一下就是基本上我聽到的喜歡我們國慶煙火的人非常多那可能您可能看到很多在網路上面有少部分的可能像是其實網路上面的發言呢不見得每一個人都願意對自己的發言負責 |
transcript.whisperx[148].start |
5227.365 |
transcript.whisperx[148].end |
5254.487 |
transcript.whisperx[148].text |
有很多人可能是水軍、網軍可能有別有意圖我想這個部分其實我也有在臉書上面做了說明我的意思是其實我們是做很正向的事情也希望大家能夠支持你給自己國慶的煙火打幾分我給自己國慶的煙火打幾分我給我的團隊吧應該不是我自己我的團隊我大概可以打到95分 |
transcript.whisperx[149].start |
5257.625 |
transcript.whisperx[149].end |
5286.62 |
transcript.whisperx[149].text |
好,95分了你自己的主觀我不comment了我在問你那你在今年的跨年準備怎麼放煙火今年的跨年的煙火呢我也可以跟大家預告一下今年跨年煙火會非常精彩對,我已經看過了這個模擬的圖示整個3D的影片都看到了那我自己個人認為是非常精彩有所突破,謝謝 |
transcript.whisperx[150].start |
5287.879 |
transcript.whisperx[150].end |
5289.58 |
transcript.whisperx[150].text |
例如 例如 for example |
transcript.whisperx[151].start |
5315.4 |
transcript.whisperx[151].end |
5316.521 |
transcript.whisperx[151].text |
好,我想這樣子好不好? |
transcript.whisperx[152].start |
5344.426 |
transcript.whisperx[152].end |
5358.793 |
transcript.whisperx[152].text |
雖然你剛剛講說其他人有心人士啦或者血腥不管怎麼樣那代表社會不同的聲音我看到的是有不少的地方都說時間太短那能不能在跨年的時候時間長一點 |
transcript.whisperx[153].start |
5360.609 |
transcript.whisperx[153].end |
5361.109 |
transcript.whisperx[153].text |
請財政部的莊部長 |
transcript.whisperx[154].start |
5386.728 |
transcript.whisperx[154].end |
5408.415 |
transcript.whisperx[154].text |
要不要對他講話做個comment?你是他長官嗎?總部長!總部長!對他講話comment一下!他給你打95分的!謝謝委員對我們101的一個指教以及重視那我相信在跨年的煙火部分我們可以拭目以待,一定不會讓大家失望好,那個,董事長請回喔謝謝 |
transcript.whisperx[155].start |
5414.858 |
transcript.whisperx[155].end |
5435.031 |
transcript.whisperx[155].text |
我另外一個問題想請教部長你這個當沖啊今晚副主委可以上來啊當沖一言再言三言四言請問這是第幾言你告訴我第幾次從第三次言第四次啦前兩次是言啊第四次是106年第一次的時候啊來第幾次講一下 |
transcript.whisperx[156].start |
5441.162 |
transcript.whisperx[156].end |
5462.341 |
transcript.whisperx[156].text |
第一次是106年到107年是不是?那後來再延長那次是一年然後第一次延長是107年到110年第二次延長是11年到12年所以現在第幾次?應該在12年在延長是第三次啊這個啊我都覺得請問請問 |
transcript.whisperx[157].start |
5464.795 |
transcript.whisperx[157].end |
5492.049 |
transcript.whisperx[157].text |
第四次啦!經管副主委講得太對了啦!經管副主委!來!經管副主委!委員這是數學問題因為第一次是實施所以後來再延了三次三次啦!這一次第四次啦!這一次第四次啦!這一次第四次啦!你既然這樣子一直延代表有需要啦既然有需要了為什麼不乾脆就是直接修法就讓它降就好了當從 |
transcript.whisperx[158].start |
5494.431 |
transcript.whisperx[158].end |
5517.946 |
transcript.whisperx[158].text |
請問來戶主要不要講一下對你們的股市?是因為呢在這個部分我們常常講這個一個中性的工具在這個部分我們常常講這是化學反應不是物理反應所以呢我們還是呢在依照三年三年這樣子循環的評估其實比較有彈性避免僵化掉了這個工具就沒有效謝謝老師 |
transcript.whisperx[159].start |
5520.372 |
transcript.whisperx[159].end |
5521.954 |
transcript.whisperx[159].text |
這個...這個...這個不是這樣講啦!他講老師沒什麼錯啦! |
transcript.whisperx[160].start |
5532.503 |
transcript.whisperx[160].end |
5557.19 |
transcript.whisperx[160].text |
我時間到了不過我再講一句啦我覺得部長你要認真思考啦請問你好不好這個當沖對不對啦好不好啦對你來講我想當沖對於他的一個資本市場的一個動能是有幫助的動能有幫助稅收有增加那個金管會做過研究裡面真的虧的人就大老闆大老闆有料那要緊對不對這個 |
transcript.whisperx[161].start |
5561.611 |
transcript.whisperx[161].end |
5562.452 |
transcript.whisperx[161].text |
請郭國文委員發言 |
transcript.whisperx[162].start |
5588.689 |
transcript.whisperx[162].end |
5610.85 |
transcript.whisperx[162].text |
主席,有請財政部莊部長跟101董事長、甲董事長。好,莊部長跟甲董事長。甲董,慢慢來。甲董事長。對對,是你,沒有錯。應該,這邊姓甲應該只有你一位。委員好。時間先不要計算,等甲董來。 |
transcript.whisperx[163].start |
5619.187 |
transcript.whisperx[163].end |
5634.534 |
transcript.whisperx[163].text |
對,第一次沒有,第二次有。剛剛沒有經理,現在有了。先就交給賈董,賈董你在臉書上說那個時間一般的網友其實沒有批評,但是期待不夠滿足,就時間有人認為太短。那你對外講的是說沒有贊助單位是不是? |
transcript.whisperx[164].start |
5635.944 |
transcript.whisperx[164].end |
5664.243 |
transcript.whisperx[164].text |
對,沒有任何的贊助的期限因為國慶煙火是一個很重要的事情現場有很多公股銀行的董事長在這邊你希望哪一位贊助你可以點名一下本席可以協助你所有的人都可以贊助,謝謝然後我們明年就會有開放企業贊助所以請大家多多贊助我們這個部長你要不要先承諾一下2014年你在關照的不是嗎?兆豐金應該是最大的股份嘛,對不對?董董 |
transcript.whisperx[165].start |
5665.484 |
transcript.whisperx[165].end |
5665.825 |
transcript.whisperx[165].text |
主席 |
transcript.whisperx[166].start |
5675.806 |
transcript.whisperx[166].end |
5693.416 |
transcript.whisperx[166].text |
這麼多金主在這邊怎麼會沒有贊助者呢我協助你啦來本席的3303研究室來開個協調會好不好那賈董你請回來明年這個事情我來處理謝謝不客氣委員我可以跟你報告一下嗎其實我們在整個數字上看來我們10月10號當天我們101的進館人數呢是成長了59% |
transcript.whisperx[167].start |
5699.52 |
transcript.whisperx[167].end |
5715.694 |
transcript.whisperx[167].text |
在觀景台的人數方面,國人來觀景台的部分是成長了兩倍所以整個信義計畫區是人潮洶湧的我沒有說不好,只是因為太好,大家希望更好就像95分希望100分一樣道理好,我們努力達到100分,謝謝 |
transcript.whisperx[168].start |
5719.592 |
transcript.whisperx[168].end |
5745.921 |
transcript.whisperx[168].text |
現在請莊部長部長是謝謝委員部長那個你知道那個銀行法72條之二吼行庫即將滿水位吼那在座的公股銀行董事長巴達行庫這邊我就不一一請上來那個金管會有對外宣布說大概超過這個警戒值27%以上的有15家之多這15家當中我就較於現場坐在這邊為此15家當中有沒有各公股銀行有超過27%以上的有沒有連一家都沒有 |
transcript.whisperx[169].start |
5749.571 |
transcript.whisperx[169].end |
5759.565 |
transcript.whisperx[169].text |
公股銀行都沒有?有沒有?有的請站起來哪一家?兆豐?兆豐?還有呢?易營?還有哪一家?張營?還有? |
transcript.whisperx[170].start |
5763.817 |
transcript.whisperx[170].end |
5786.242 |
transcript.whisperx[170].text |
合庫、華銀五位董事長請坐總共有五家之多所以這邊我要請部長特別重視一下這五家當中都是您業管的一個範圍大致上的話因為公股銀行因為放貸、清安貸應該有直接的關聯性清安貸從八月底開辦以來新的清安貸開辦以來大概有7.8萬件 |
transcript.whisperx[171].start |
5789.583 |
transcript.whisperx[171].end |
5806.729 |
transcript.whisperx[171].text |
合併金額將近有6千億之多有些涉及出租的等等不管如何出現一個問題也就是說它在整個青藍帶它確實有帶動交易量的效果你看看右邊本席準備的這個表格就青藍帶的部分 |
transcript.whisperx[172].start |
5807.489 |
transcript.whisperx[172].end |
5818.832 |
transcript.whisperx[172].text |
審券交易稅條例三年,最高部分30年,額度800萬,後來全部都放寬到5年至於加速的部分,從24.5萬變26.6萬,然後28.8萬變35.5萬清清安貸所帶動的成交量比舊清安貸增加很多這種情況底下也堆高了整個房市的成長 |
transcript.whisperx[173].start |
5832.156 |
transcript.whisperx[173].end |
5852.114 |
transcript.whisperx[173].text |
好,我再讓你看另外一個數字有就是說我們個人房地合一稅2.0的部分這部分本期統計起來從2011年的部分2021年的7月開始到現在3年之久到這第一季 |
transcript.whisperx[174].start |
5853.295 |
transcript.whisperx[174].end |
5876.728 |
transcript.whisperx[174].text |
適用的對象大概有28萬件之多然後有將近6萬件一年換手也就是45%他寧願被扣那還有包括兩年內換手的33.4%差不多三分之一五年內換手的包括有75%也就是說他不怕你高稅額顯然他獲利空間遠遠大過於這個稅率的部分 |
transcript.whisperx[175].start |
5877.328 |
transcript.whisperx[175].end |
5887.95 |
transcript.whisperx[175].text |
真正超過五年不過是四分之一而已由於四分之三當中都是在增加稅務負擔的情況底下他仍然去進行交易 |
transcript.whisperx[176].start |
5889.351 |
transcript.whisperx[176].end |
5906.859 |
transcript.whisperx[176].text |
簡單說就是這些投資客沒在怕啦不怕那因此本席先請教你一下如果你透過這個交易稅的增加的情況底下都沒有達到嚇阻作用的情況底下這個房地合一稅的2.0有沒有可能推3.0部長請回答 |
transcript.whisperx[177].start |
5909.011 |
transcript.whisperx[177].end |
5929.195 |
transcript.whisperx[177].text |
二點零這個部分事實上它已經在稅率上最高在兩年內已經達到百分之四十五對沒有錯對因為它是所得那它所得裡面它扣掉了百分之四十五那已經不算低啦已經不算低然後到兩年以上到五年的時候百分之三十五我覺得這個部分這本席在問你不是在解釋二點零的內容是請教你三點零的內容 |
transcript.whisperx[178].start |
5933.717 |
transcript.whisperx[178].end |
5953.537 |
transcript.whisperx[178].text |
這個稅率的部分除了稅率之外我們其實也在加強查核這個部分對於申報的情形那也做了相關的我們的國稅局做了相關的數據簡單的講你的2.0的這個政策工具沒有達到預期的目標啦其實短期交易的數量其實有已經2.0比1.0在短期交易的部分已經有抑制到降低了14% |
transcript.whisperx[179].start |
5955.734 |
transcript.whisperx[179].end |
5978.659 |
transcript.whisperx[179].text |
這單是就成交的內容來說還是非常的驚人一基本上不是要比1.0好而已做對話是要遏止他交易的那個熱絡量嘛不是嗎所以那個本席再請教你一點就是說有關於這個清安貸的部分剛剛有提到說他放款五年剛好他這五年他持有五年之後才開始繳息他這五年繳本席 |
transcript.whisperx[180].start |
5979.179 |
transcript.whisperx[180].end |
6000.601 |
transcript.whisperx[180].text |
五年之內它的利息是非常低然後剛好隔五年之後呢你剛好又適逢這一個兩稅合一的五年的條款經過之後那不是做漲了讓整個有投資的可能性差在持有五年的過程當中有那個優惠的這個這個利息可是五年之後呢又減少了這一個稅率的一個負擔會不會這樣子 |
transcript.whisperx[181].start |
6003.119 |
transcript.whisperx[181].end |
6028.219 |
transcript.whisperx[181].text |
委員報告雖然新清安貸款有關寬限期延長5年但是我們統計真正用寬限期到5年的只有25%並不是每個人都用而且裡面有51%他根本就沒有用寬限期那在寬限期是3年是14%換言之這些青年朋友們去買了第一間自住用的房屋他基本上還是想要盡快把本金趕快還掉 |
transcript.whisperx[182].start |
6031.101 |
transcript.whisperx[182].end |
6056.472 |
transcript.whisperx[182].text |
本席不是質疑所有的親安帶的人都是如此本席就是提醒你說呢20%以上21%以上用到五年寬限期的這個部分你要特別注意是不是有搭配投資的組合的可能性好不好所以說這個也就請教您的部分有沒有可能有滾動檢討的空間既然沒有用到五年的部分的話那何必用五年讓他有投機的機會呢不是嗎是的 |
transcript.whisperx[183].start |
6057.232 |
transcript.whisperx[183].end |
6080.911 |
transcript.whisperx[183].text |
所以說本席請教你的部分呢就是兩個政策工具一個2.0會不會變3.0第二個部分呢清安貸的部分是不是有重新檢討的空間新清安的部分已經檢討第一個就是說對於投資投機的部分的歸納的空間還有限貸一次放得太寬啦本席就聽不懂我的意思就放得太寬你要重新檢討啦好不好好再拉回來一點齁我現在請你叫那個副主委今晚副主委時間請暫停 |
transcript.whisperx[184].start |
6088.667 |
transcript.whisperx[184].end |
6112.295 |
transcript.whisperx[184].text |
副主任,剛剛在報告的時候不是每一個委員都同意當沖降稅本席就抱持了反對的立場當沖降稅的結果其實你現在寫的理由是說維持這個證券市場交易動能減低的這個證券市場不確定性我跟你講當沖降稅反而會增加不確定性這個不是真正的理由真正的理由是什麼真正的理由是食髓滋味 |
transcript.whisperx[185].start |
6113.695 |
transcript.whisperx[185].end |
6130.355 |
transcript.whisperx[185].text |
此為之為的結果呢就還要再延長甚至想要入法我說實在的我基本立場認為說你如果說要用稅賦工具來作為造勢的功能的話與其推當沖減半不如啊推TISA比較好 |
transcript.whisperx[186].start |
6131.383 |
transcript.whisperx[186].end |
6158.06 |
transcript.whisperx[186].text |
這比較長期的作用TISA跟ETF或者跟REITS的部分會有中長期造勢的功能這才是好的方式你去看當中的結果從第一次降、第二次降、第三次降外資當中的比例從7.07%變30.70%如果現在在第四次當中降稅的話它會成港到多少你只是優惠到外資而已而外資的部分我上次就提到了它每天賺一億所以累積起來你去看 |
transcript.whisperx[187].start |
6158.8 |
transcript.whisperx[187].end |
6181.465 |
transcript.whisperx[187].text |
真正當中降稅的大部分的投資人都是韭菜實質真正賺到錢的就是政府就是業者、證券業者還有包括外資如果業者、證券公會的人一直很擔心不能造勢的話一定要這個交易稅減半的情況底下才能造勢的話那業者可以手續費免費啊 |
transcript.whisperx[188].start |
6182.691 |
transcript.whisperx[188].end |
6188.027 |
transcript.whisperx[188].text |
不是嗎?你就叫他手去免費也可以造勢啊為什麼一定要用透過稅金的減免啊? |
transcript.whisperx[189].start |
6188.837 |
transcript.whisperx[189].end |
6217.523 |
transcript.whisperx[189].text |
副主委請說是,那後面先回答TISA這邊呢我們也非常的贊同我們也在力推那目前為止我們跟財政部溝通也非常的一個順暢我們會提出一個相對比較好的方案當沖降稅這個問題是這樣子那我提一個比喻啦就好像一個鹽我們那個拔辣撒點鹽會比較甜一些些所以是說我提另外一個比喻啦嘿是就是說他是特效要當成保健品在吃啦嘿 |
transcript.whisperx[190].start |
6218.677 |
transcript.whisperx[190].end |
6220.378 |
transcript.whisperx[190].text |
市長,您認為當初的部分呢?您同不同意入法? |
transcript.whisperx[191].start |
6237.179 |
transcript.whisperx[191].end |
6257.487 |
transcript.whisperx[191].text |
同不同意我做的日條款我想證券市場的一個變動應該是順其萬變應該要看時間、看情形要中長期的思考吧那滾動的檢討、滾動的檢討條款所以說不應該入法嘛你暫情是或是嘛所以說我希望下一次是一個日落條款啦日出的部分應該是在用TESA才對啦好不好 |
transcript.whisperx[192].start |
6258.167 |
transcript.whisperx[192].end |
6263.114 |
transcript.whisperx[192].text |
財政部莊部長翠雲率所屬機關首長暨國營事業董事長翠雲率所屬機關首長財政部莊部長翠雲率所屬機關首長財政部莊部長翠雲率所屬機關首長 |
transcript.whisperx[193].start |
6276.308 |
transcript.whisperx[193].end |
6292.461 |
transcript.whisperx[193].text |
10月8日及10月9日根據大盤的五十指數的部分它基本上在10月8日的時候誤差值才0.01就到10月隔天而已它的整個偏離度變27.84你不覺得太誇張了嗎? |
transcript.whisperx[194].start |
6297.093 |
transcript.whisperx[194].end |
6313.866 |
transcript.whisperx[194].text |
其實在這個地方的話其實從以前到現在第一次遇到那這也是我想這是完美的小風暴為什麼說小風暴好險它的總值淨值只有18億那單位是1.9億那原因主要就是說其實也是中國那邊大量的激勵股市 |
transcript.whisperx[195].start |
6315.046 |
transcript.whisperx[195].end |
6342.255 |
transcript.whisperx[195].text |
後來整個股票往上漲不過因為10月1號到10月7號之間10月7號之間因為他們這個十一長假所以沒有一個交易量那我們這邊持續的一個交易所以在這個地方就一直上漲投資人的一個追買所以造成了這種情形不過我們現在你確定如此這是初步調查的結果嗎沒有人為炒作的方式或不法的行為嗎所以在這部分的話 |
transcript.whisperx[196].start |
6345.066 |
transcript.whisperx[196].end |
6370.736 |
transcript.whisperx[196].text |
所以現在我們已經請永豐投信提出說明而且會有監視的一個機制他也承諾會再怎樣盡速的銷你這個溢價拉到百分之三以內而且我們已經專案查核專案查核什麼時候報告會提出來這伊提豐好不容易有一個比較讓國人有信心的投資工具你不能透過這個案件來打擊投資人的信心好不好來 多久 |
transcript.whisperx[197].start |
6371.817 |
transcript.whisperx[197].end |
6391.391 |
transcript.whisperx[197].text |
貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴買貴 |
transcript.whisperx[198].start |
6391.616 |
transcript.whisperx[198].end |
6417.612 |
transcript.whisperx[198].text |
董事長向委員報告我們已經請永豐把投信把他的這個相關我們要的資料呢給我們在三天內給我們然後我們預計在大概一個禮拜到兩個禮拜之間把這個報告做好兩個禮拜之內看你的報告謝謝部長謝謝副主委謝謝主席謝謝委員謝謝委員 |
transcript.whisperx[199].start |
6429.835 |
transcript.whisperx[199].end |
6431.197 |
transcript.whisperx[199].text |
好,接下來我們請待會委員的質詢謝謝主席,有請部長有請總部長 |
transcript.whisperx[200].start |
6451.394 |
transcript.whisperx[200].end |
6466.047 |
transcript.whisperx[200].text |
政府從2010年12月其實它就開辦了清安貸款專案它專門就是提供年齡在20歲以上的借款人但是借款人就是跟配偶及未成年子女 |
transcript.whisperx[201].start |
6466.647 |
transcript.whisperx[201].end |
6494.027 |
transcript.whisperx[201].text |
都沒有住用住宅的一個黃貸的利息的補貼那它貸款的層數最高到八成那這個貸款的年限最長四到三十年那我們經歷了六度的延長截至到去年2023年6月底子我們協助了34萬戶沒有住用住宅的家庭的購屋當年大概全台灣有933萬間的一個住宅那我們累計合貸了1.43兆 |
transcript.whisperx[202].start |
6496.345 |
transcript.whisperx[202].end |
6501.432 |
transcript.whisperx[202].text |
我想在這裡跟部長請教這樣子的一個那個數字對不對 |
transcript.whisperx[203].start |
6503.754 |
transcript.whisperx[203].end |
6528.219 |
transcript.whisperx[203].text |
委員的數字應該是對的因為您是從一開始民國99年開辦以來一直累計下來的是是我想就是說從去年7月開始那就是說我們因應了今年全球通盤黃價上漲還有就是升息的一個趨勢我們又推出了一個清安貸款的精進的方案就是我們現在講的新清安 |
transcript.whisperx[204].start |
6529.239 |
transcript.whisperx[204].end |
6535.703 |
transcript.whisperx[204].text |
其實新清安最主要希望進一步減輕購屋者的貸款負擔其實我在這裡頭一個比照這個圖片裡頭我們可以看得出來從現在最高的800萬到現在提高到1000萬這一個數字裡頭來講的話就等於是說所謂的新清安優惠的一個政策 |
transcript.whisperx[205].start |
6557.314 |
transcript.whisperx[205].end |
6584.362 |
transcript.whisperx[205].text |
部長,我們中南部已經沒有一千萬一千萬以下的房子了全部都跳上來了尤其以我們中南部最明顯我不知道部長有沒有聽聞這樣的一個信息了解這個部分那個中南部部分有一些因為產業的產業的發展有一些是公共建設的一個到位以後那是周遭的房地產的價格確實有一些變動 |
transcript.whisperx[206].start |
6585.482 |
transcript.whisperx[206].end |
6612.057 |
transcript.whisperx[206].text |
是,所以這個變動是非常急劇的所以就是說其實清安政策已經是延續了十多年的一個政策在下一頁那顯然政府一言再言那就是延長它的實施可見這個政策一定有它的重要性而沒有辦法有落日條款那你覺得是不是需要有落日條款部長你的看法呢我的看法是認為說 |
transcript.whisperx[207].start |
6613.658 |
transcript.whisperx[207].end |
6632.585 |
transcript.whisperx[207].text |
民眾他對於居住的房屋的需求他可能有自己的選擇可能有的是採取租成租的方式那有的是希望能夠買到自己的房子做自住使用對於這樣他希望能夠買到一間房子做自住使用那政府給予相關的協助我認為是有必要的因為 |
transcript.whisperx[208].start |
6633.385 |
transcript.whisperx[208].end |
6648.401 |
transcript.whisperx[208].text |
我們知道青年朋友們出入社會他的收入其實是有限的情況下那他又想買一間房子那我們第一個就貸款額度上的一個比例貸款金額上限可以給一定的一千萬比如八百萬調高到一千萬以及寬限期的一個延長 |
transcript.whisperx[209].start |
6651.284 |
transcript.whisperx[209].end |
6667.708 |
transcript.whisperx[209].text |
我覺得對於在出買房子的人來說可以減輕他的一個生活負擔能夠兼顧在生活品質之下能夠又擁有一間自己的房子我認為這個是有必要而且我們其實從新清安實施以來我們可以看到其實49歲也就50歲以下的人是佔了94%所以事實上是大部分都是在40幾歲、30幾歲的青年朋友們去買的40幾歲、30幾歲部長我讓你再看一張圖 |
transcript.whisperx[210].start |
6680.071 |
transcript.whisperx[210].end |
6683.153 |
transcript.whisperx[210].text |
財政部長翠雲率所屬機關首長暨國營事業董事長:一、邀請財政部莊部長翠雲率之二及第十二條條文修正草案 |
transcript.whisperx[211].start |
6703.506 |
transcript.whisperx[211].end |
6723.825 |
transcript.whisperx[211].text |
新清安貸款的戶數不如之前﹖當然可能有很多原因因為剛好是疫情的元素還有就是房屋買氣降低所以就是說政策你的推出以後發生了哪些問題現在接著要跟你討論是不是投機客太多還是人頭戶還是貸後 |
transcript.whisperx[212].start |
6725.987 |
transcript.whisperx[212].end |
6741.774 |
transcript.whisperx[212].text |
就是他把他轉租的這一些亂象那事實上就是說我們財政部在6月27號我們也提出了一個新清安貸款的經濟方案你有增加了借款人限就是限貸一次這一些巴巴巴這些規定 |
transcript.whisperx[213].start |
6743.174 |
transcript.whisperx[213].end |
6755.683 |
transcript.whisperx[213].text |
請公股、行戶加強集合本席跟你肯定問題就是說我們有沒有這個政策推出了以後相關的黃帶法規他並沒有配合的一個範圍寬我們在講到了銀行法72之二 |
transcript.whisperx[214].start |
6760.663 |
transcript.whisperx[214].end |
6786.969 |
transcript.whisperx[214].text |
那這樣子的話就是銀行沒有跟著上來是不是可能可能會引發傷及無辜的一個現代人的風波呢是不是部長你的看法跟委員報告那因為這段時間因為房地產熱絡所以有關銀行的資金到流到不動產貸款這個部分事實上就是有剛剛就講比例可能稍微高了比較高 |
transcript.whisperx[215].start |
6788.489 |
transcript.whisperx[215].end |
6809.857 |
transcript.whisperx[215].text |
行政院院長也提醒了相關的我們的航庫公民銀行庫都一樣都要注意這樣一個情況也就是避免資金過度流入到不動產市場排擠到其他的產業那我想這個部分當然會影響到整個房貸的一個結構那行政院院長也已經提出來第一個就是說我們必須要有一個順序第一個首購組 |
transcript.whisperx[216].start |
6810.868 |
transcript.whisperx[216].end |
6827.418 |
transcript.whisperx[216].text |
一定不能去影響它因為它是買第一間房子那第二個已經承諾了貸款要做另外也要去調整自己貸款就銀行的貸款結構而避免過度大額的做集中那這個部分呢對於首購主那親親安安的都是屬於首購主那應該不會受到影響 |
transcript.whisperx[217].start |
6829.019 |
transcript.whisperx[217].end |
6856.239 |
transcript.whisperx[217].text |
您有把一些就是看到了目前的一些需要解決的一個方法跟就是一些困境了那我在這裡再特別提醒你那個總統在國慶日的演說裡頭也特別再一次強調了居住的一個正義這個是非常重要的所以本席在這裡提出就是說我們所講的新清安的一個政策還是現代令的一個政策也好相關的一個討論都是以全國為範圍下一張 |
transcript.whisperx[218].start |
6859.601 |
transcript.whisperx[218].end |
6878.667 |
transcript.whisperx[218].text |
全國為範圍以外是不是每一個縣市它有各自不同的情形例如就是說今年那個科學園區跟台積電然後台南高雄的房價都上漲了很多因此本席特別跟你要求就是你在一個月內提供縣市別的新清安累積受理 |
transcript.whisperx[219].start |
6879.247 |
transcript.whisperx[219].end |
6904.728 |
transcript.whisperx[219].text |
還有累積合撥的一個戶數的一個金額那基本一起了解就是說其他的縣市那就是跟台南民眾的申請性清安的一個情形因為為什麼我們跟銀行要不到這些資料所以也希望央行協助在一個業內就是以書面提出現代令包括就是協助處理的一個措施對於就是 |
transcript.whisperx[220].start |
6905.729 |
transcript.whisperx[220].end |
6926.12 |
transcript.whisperx[220].text |
禁止草房的一個目前的成效還有就是對於全國各縣市房價的一個影響的評估提供給本席委員的要求我們會去提供這相關的資料就是縣市的一個分析就是親親愛的縣市的一個狀況好部長最後請教你以你個人的看法這一次打房是打真的還是打假的 |
transcript.whisperx[221].start |
6927.501 |
transcript.whisperx[221].end |
6947.308 |
transcript.whisperx[221].text |
這打草房不是打房是打草房是房地產是要來住來用不是拿來炒作的我想央行祭出了第七次的信用管制這個部分把適用的範圍也擴大那我們從最近的看起來房地產的交易量事實確實上是有一些往下降 |
transcript.whisperx[222].start |
6948.268 |
transcript.whisperx[222].end |
6973.437 |
transcript.whisperx[222].text |
所以你認為這是一個真正的一個政策我認為房地產應該不能當作投機的一個標的我想這個是不好的不能投機可以投資投資當然他需要付出相關的一些成本包含我們其實在稅的部分也有做調整比如說像我們的房地房屋稅的調整對於持有多屋不自住的房屋的話那他必須負擔較高的持有成本 |
transcript.whisperx[223].start |
6973.677 |
transcript.whisperx[223].end |
6994.991 |
transcript.whisperx[223].text |
議員議員議員 |
transcript.whisperx[224].start |
6995.251 |
transcript.whisperx[224].end |
6998.033 |
transcript.whisperx[224].text |
長照是全面性的租稅不是唯一的一個減薪負擔的一個方式 |
transcript.whisperx[225].start |
7012.643 |
transcript.whisperx[225].end |
7018.004 |
transcript.whisperx[225].text |
總統在國慶也提到要持續推動長照3.0包含有關的府紀、租界、喘息服務等等各項政府以各種方面的方方面面來協助有家庭有需要長期照顧的一個家人的負擔那在租稅的部分我們是把它列為特別扣除每一個人每年是可以扣除12萬 |
transcript.whisperx[226].start |
7035.109 |
transcript.whisperx[226].end |
7037.97 |
transcript.whisperx[226].text |
財政部有沒有自己的版本?你從108年制定到現在都沒有條,你通膨這麼嚴重,那是不是會調整啊?你要有自己的版本啊? |
transcript.whisperx[227].start |
7054.759 |
transcript.whisperx[227].end |
7077.919 |
transcript.whisperx[227].text |
有沒有在準備呢?我們再來研議,我們再來研議。那什麼時候會讓本席知道呢?因為在有關涉及到所得稅的部分,我們可能要做一個通盤的考量以及對一個影響、一個配套措施等等。我想這個議題很多委員都跟你提出來了,甚至就是說一個業內給本席這樣的一個資料,好嗎? |
transcript.whisperx[228].start |
7078.319 |
transcript.whisperx[228].end |
7083.06 |
transcript.whisperx[228].text |
好的,我們把資料演繹報告送給委員室,謝謝。好,謝謝,謝謝部長。謝謝代會委員的諮詢,請接著我們請李燕秀委員諮詢。謝謝召委,我請部長。 |
transcript.whisperx[229].start |
7101.38 |
transcript.whisperx[229].end |
7128.889 |
transcript.whisperx[229].text |
部長早 好久不見了我今天其實好多個問題我們就快速的答案給我我先問一個很多民眾陳情的問題因為我關注到今年度其實你們有對於出國帶回的物品的免稅額有做一些調整那包括入境免稅額從兩萬條到三萬五你們的理由是說你們參考了物價的指數包括國民所得跟國際的物價等等 |
transcript.whisperx[230].start |
7130.13 |
transcript.whisperx[230].end |
7152.046 |
transcript.whisperx[230].text |
這個政策看起來民眾其實也鼓掌較好因為其實免稅2萬塊一趟好不容易有機會出國買回來東西其實常常其實3萬塊3萬5好像好像好像很多人還跟我反映說3萬5其實也不是太足夠但是其實這是一個正確的方向我們就給你鼓勵但是 |
transcript.whisperx[231].start |
7153.067 |
transcript.whisperx[231].end |
7168.964 |
transcript.whisperx[231].text |
我要提到的就是有關進口郵包的部分因為從疫情過後大家的習慣性很多人沒時間出國或者是出國的花費更多他們寧願購物的方式是用郵購的方式這在疫情之後大家培養的習慣那我們現在進口的郵包現在還是規範在新台幣2000塊 |
transcript.whisperx[232].start |
7175.771 |
transcript.whisperx[232].end |
7204.029 |
transcript.whisperx[232].text |
那我稍微參考了一下國外的數字我們看一下後面兩張我們韓國進口的郵包他們免稅額是在4800塊台幣左右新加坡是9800香港進口是全部都免稅然後美國是定在25000台幣左右這個金額更高所以部長我們既然出國帶回來免稅品有調整其實我更認為 |
transcript.whisperx[233].start |
7205.51 |
transcript.whisperx[233].end |
7224.275 |
transcript.whisperx[233].text |
其實2000塊郵包齁有時候我常在網路上購買一些韓國的美妝啦化妝品啦其實2000塊常常一下子就超過了所以我認為這個政策其實應該有檢討的必要性部長你認為呢或署長可不可以直接回應我 |
transcript.whisperx[234].start |
7225.595 |
transcript.whisperx[234].end |
7251.406 |
transcript.whisperx[234].text |
跟委員報告我們原來是3000塊在107年的時候有調為2000塊那當然第一個考慮到其實現在什麼都漲了嘛全世界物價什麼都漲了嘛我們同時有考慮到國內電商平台業者還有進口業者還有相關製造業的一個租稅公平這個部分我們必須是要去考慮的然後同時也要避免這個濫用這個低價免稅制度的有討論當然但是我提到的就是說既然 |
transcript.whisperx[235].start |
7253.767 |
transcript.whisperx[235].end |
7259.312 |
transcript.whisperx[235].text |
從國外貸還免稅品我們有提高我們過去也是3000塊後來我們調漲為2000但是現在考慮到同樣物價的指數國民所得國際的物價在這三個前提之下我們這個郵購的這個相關的一些物件免稅的額度其實也應該可以同時一併再做進一步的檢討 |
transcript.whisperx[236].start |
7277.549 |
transcript.whisperx[236].end |
7294.38 |
transcript.whisperx[236].text |
也跟委員報告,謝謝委員這邊收集的相當完整的資料但我們所知,其實各國目前也有一些在檢討是不是要取消這樣的一個進口免稅額度這個部分我們覺得這個部分事實上要跟國際的趨勢必須要能夠接軌一次 |
transcript.whisperx[237].start |
7295.18 |
transcript.whisperx[237].end |
7316.733 |
transcript.whisperx[237].text |
我同意接軌,那你現階段人家的金額我們都沒跟人家接軌所以部長我覺得這個可以儘快因為這個是民眾有感啊你們的政府都在講說民眾有感民眾有感我就提到說我接到了很多陳情在網路上大家的意見是這樣所以我希望部長可不可以在兩個月之內不管結果如何 |
transcript.whisperx[238].start |
7317.754 |
transcript.whisperx[238].end |
7320.276 |
transcript.whisperx[238].text |
二個月之內提出一個報告結果給我,好不好? |
transcript.whisperx[239].start |
7320.276 |
transcript.whisperx[239].end |
7338.769 |
transcript.whisperx[239].text |
好的,謝謝委員。好,我了解。好,這是第一個問題。好,第二個問題是金融營業稅的部分方向。之前金管會的主委跟我回應說我們希望打亞洲盃、打世界盃,包括我們雖然沒有機會 |
transcript.whisperx[240].start |
7340.291 |
transcript.whisperx[240].end |
7349.61 |
transcript.whisperx[240].text |
在上一波成為亞洲的金融中心但是我們希望還是有機會在這個階段成為亞洲的資產管理中心可以兌現 |
transcript.whisperx[241].start |
7352.214 |
transcript.whisperx[241].end |
7373.274 |
transcript.whisperx[241].text |
賴總統的政策到底我們營業稅的方向上個會期回應我說調整成2%或3%今年年底要做確定年底時間也到了總是該有一個結果跟方向而且這個部分還涉及到後面的修法對不對這個會期時間也不多所以部長到底方向是什麼到底是降為2%還是3% |
transcript.whisperx[242].start |
7375.194 |
transcript.whisperx[242].end |
7399.42 |
transcript.whisperx[242].text |
跟委員報告金融營業稅有關銀行跟保險本業的營業稅目前是5%好那因為這裡面有一個就是金融營業稅撥入金融業特別準備金到今年年底部長這個我都知道大家都知道你只要回答我到底是2%3%時間點目前沒有調整的規劃完全沒有調整的規劃目前沒有調整的規劃所以年底也不要修法目前沒有因為不需要修法 |
transcript.whisperx[243].start |
7401.201 |
transcript.whisperx[243].end |
7410.749 |
transcript.whisperx[243].text |
所以還是維持5%維持5%那所有的稅款就改進入國庫那進入國庫以後當然我們會做國家監視這個是確定的方向是的 |
transcript.whisperx[244].start |
7413.179 |
transcript.whisperx[244].end |
7432.611 |
transcript.whisperx[244].text |
我尊重但是我必須這是跨部會討論的結果我們有跟金管會做密切的溝通以及了解以及我們也做討論總統也知道這件事情嗎這個部分在我們編列預算的時候當然都會去討論明年可能的一些稅務的金額部長我提醒你們啦 |
transcript.whisperx[245].start |
7436.234 |
transcript.whisperx[245].end |
7457.887 |
transcript.whisperx[245].text |
這件事牽涉到賴清德當時選舉的政策跟政見這也是當時他找彭金榮來的另外一個非常主要的原因他希望成為亞洲的資產管理中心世界上目前包括新加坡也好很多對於金融業稅他甚至是很低甚至是零所以 |
transcript.whisperx[246].start |
7458.627 |
transcript.whisperx[246].end |
7480.138 |
transcript.whisperx[246].text |
我尊重你們最後的決定,等會兒完全執政就要負責任但是這個會讓我們未來產業的發展、金融業的發展會不會更沒有彈性如果這是你正確的決定我尊重但是我覺得這個未來要變成打亞洲盃打世界盃的亞洲資產管理中心我認為挑戰是非常高的 |
transcript.whisperx[247].start |
7480.418 |
transcript.whisperx[247].end |
7508.038 |
transcript.whisperx[247].text |
也跟委員報告當然這個部分我們也經過詳細的討論跟金管會第一個就是說我們目前銀行業保險整體稅負和國際比較起來並沒有比較好部長部長我尊重你們我就不再這個問題因為我後面我想問新清安的問題我只是要提醒你們你們後面打亞洲杯打世界杯亞洲資產管理中心你們的彈性可能就會越來越少接下來我還是要問新清安政策我也請金管會的副主委陳燕良副主委今天有來對不對 |
transcript.whisperx[248].start |
7510.199 |
transcript.whisperx[248].end |
7536.832 |
transcript.whisperx[248].text |
部長那個我想這個會議齁你剛回應前一個委員賴昭偉你回應說不是打房是打草房打草房這件事情就是說房價上漲得太厲害我覺得合理的意志我尊重但是這第七波歷年來有史以來最高的打草房的政策是誰引起的是新清安政策引起的 |
transcript.whisperx[249].start |
7538.686 |
transcript.whisperx[249].end |
7554.585 |
transcript.whisperx[249].text |
當時沒有思考清楚我們長久以來對於不合理的房價提升長期來我們都有一定的政策在管制長期來都有但是這一波是新清安政策當時沒有思考清楚所衍生的後果 |
transcript.whisperx[250].start |
7555.066 |
transcript.whisperx[250].end |
7582.003 |
transcript.whisperx[250].text |
好,那後果已經產生不管各個工會產業界都有不同版本建議進來我希望你們兩位都有看到兩個部會都有看到甚至央行都有看到但是我要提醒你們就是說現在很多民間當時在做一些商品的就是說貸款的同時包括公股銀行也是有一些甚至會要求說要加買一些保險所以這個部分 |
transcript.whisperx[251].start |
7582.663 |
transcript.whisperx[251].end |
7595.348 |
transcript.whisperx[251].text |
我看到產業界有陳情就是說這個部分讓承貸戶的負擔更加嚴重那這一點到底公股銀行有沒有這樣的問題未來我們會不會做管理 |
transcript.whisperx[252].start |
7597.131 |
transcript.whisperx[252].end |
7609.899 |
transcript.whisperx[252].text |
與委員報告沒有這樣的一個問題有關房貸加稅你沒有聽說嗎就是房貸的同時要加買其他保險的商品衍生商品房貸的時候要買其他相關商品推薦明示暗示的方式購買無關的金融產品不能作為 |
transcript.whisperx[253].start |
7619.085 |
transcript.whisperx[253].end |
7641.898 |
transcript.whisperx[253].text |
是否核准貸款的一個條件?我當然知道但是你這個是官方的回答部長不要坐在辦公室裡面我提醒的是我聽到我也知道有這樣子的聲音有這樣問題在所以我提醒你我今天我是善意的提醒你不要把我的諮詢都當作我在我善意的提醒你有這麼一件事情所以 |
transcript.whisperx[254].start |
7642.858 |
transcript.whisperx[254].end |
7655.883 |
transcript.whisperx[254].text |
做房貸同時無關緊要的金融商品要順便要買明示或暗示的方式貸款會更順利這個都加重他們的負擔一隻牛被八九存平所以部長好好改進然後另外到底我們25年前我們講說那個不動產的放貸不得超過30%的上限 |
transcript.whisperx[255].start |
7669.865 |
transcript.whisperx[255].end |
7688.181 |
transcript.whisperx[255].text |
這是30年前的你說銀行法的規定嗎?銀行法,對我們現在銀行投資的管道很多元投資買什麼東西很多元到底30%的上限有沒有檢討的必要性這是金管會的業務25年前 |
transcript.whisperx[256].start |
7692.436 |
transcript.whisperx[256].end |
7700.226 |
transcript.whisperx[256].text |
到底那個比例怎麼樣分配是一個比較合理的方法跟方式其實銀行的投資面臨現在國際的挑戰 |
transcript.whisperx[257].start |
7702.979 |
transcript.whisperx[257].end |
7730.651 |
transcript.whisperx[257].text |
國際金融的挑戰處處都有風險什麼是一個最合理的比例30%放在房貸的上限是25年前有沒有重新討論的必要性或者重新把所有的比例重新拿回來討論我覺得這是一個很重要的課題跟議題這次打房昨天是講到說因為打得快到28了放貸到28了我們不希望到28我們後面再來打可能會越打越重今晚會主委昨天是這麼講的所以我提醒你們 |
transcript.whisperx[258].start |
7731.511 |
transcript.whisperx[258].end |
7734.716 |
transcript.whisperx[258].text |
就是說我覺得可以重新再檢討因為這畢竟是25年前的規範跟規定嘛 |
transcript.whisperx[259].start |
7741.363 |
transcript.whisperx[259].end |
7768.937 |
transcript.whisperx[259].text |
副主委是謝謝委員那因為這是一個風險集中度的問題那我想我們回去都有風險什麼樣都有風險只是我覺得這是25年前的38放貸放在房貸放在比是不是一個合理有沒有重新把所有的比例再拿出來檢討還不只是房貸包括其他的投資都是我覺得可以重新再討論是這我也請銀行局把這個課題帶回去研究一個月之內給我答案是好謝謝委員 |
transcript.whisperx[260].start |
7769.957 |
transcript.whisperx[260].end |
7774.46 |
transcript.whisperx[260].text |
主席在這裡報告我們接著是李昆城委員的一個質詢李昆城委員質詢完以後我們休息五分鐘好 謝謝主席我請我們財政部長 |
transcript.whisperx[261].start |
7800.224 |
transcript.whisperx[261].end |
7800.426 |
transcript.whisperx[261].text |
財政部長 |
transcript.whisperx[262].start |
7803.72 |
transcript.whisperx[262].end |
7833.06 |
transcript.whisperx[262].text |
委員好部長好我呼應一下剛才我們林彥秀委員所講的中央銀行他明天就要來報告那麼他在中間的打房第七波也做了一些修正那我自己其實我跑財經新聞非常非常久我有跟楊金龍總裁說過我說這次打房的力道事實上是在過去都很少見的當然我也在總諮詢之後提到 |
transcript.whisperx[263].start |
7834.1 |
transcript.whisperx[263].end |
7857.379 |
transcript.whisperx[263].text |
這一波為什麼要打房是因為台灣的房價漲得太兇了而其中的元兇跟推手之一就是新青安就如同剛才李燕秀委員所講的當然現在新青安包含財政部、央行還有我們現在各行庫去提出了一些補救的措施 |
transcript.whisperx[264].start |
7858.766 |
transcript.whisperx[264].end |
7874.994 |
transcript.whisperx[264].text |
但是我覺得不應該讓這些炒房的惡果房教高深的惡果最後給一些他其實並沒有在炒房雖然他可能有兩棟房子他要第二棟去做貸款 |
transcript.whisperx[265].start |
7875.814 |
transcript.whisperx[265].end |
7892.224 |
transcript.whisperx[265].text |
所以還好中央銀行現在針對一些繼承的部分在總諮詢我就特別提到有很多是繼承的有很多他的主產是在中南部但是他在北部打拼他可能在北部因為孩子要上學或者他就業的關係 |
transcript.whisperx[266].start |
7894.105 |
transcript.whisperx[266].end |
7912.978 |
transcript.whisperx[266].text |
他要買第二戶但是呢他就變成被打房的目標對象這是非常不合理的事情另外我也要提醒部長還有現場的各個我們的公營行庫因為我知道其實絕大部分的行庫在房貸的部分事實上都已經幾乎到頂了 |
transcript.whisperx[267].start |
7914.609 |
transcript.whisperx[267].end |
7935.856 |
transcript.whisperx[267].text |
現在雖然緩和一些可是到年底也非常有可能另外一波的現代措施因為他們的這個額度已經幾乎都到不管是央行的規定還有這個我們原來財政部的相關的規定金管會的規定他們幾乎都會到了一定的程度所以這一點也拜託 |
transcript.whisperx[268].start |
7936.676 |
transcript.whisperx[268].end |
7958.576 |
transcript.whisperx[268].text |
不要讓其實是他是非常合理他沒有在炒房的這些購屋者然後他去承受這樣的打擊跟苦果好那今天其實主要討論我們那個就是當沖稅率部長在之前啊我也都特別提到好時間暫停一下我請金管會今天是副主委來嗎好時間暫停 |
transcript.whisperx[269].start |
7968.393 |
transcript.whisperx[269].end |
7977.437 |
transcript.whisperx[269].text |
部長還有副主委我大概是在立法院極為少數極極極少數的委員提到我們當沖稅率一降再降是有問題的一個是之前今天賴氏堡委員特別提到明明法在那邊我們可以一言再言然後降稅長達十年你們繼續言下去長達十年請問一下中華民國的稅制是怎樣 |
transcript.whisperx[270].start |
7996.468 |
transcript.whisperx[270].end |
8018.007 |
transcript.whisperx[270].text |
如果你覺得應該要修法就去修法怎麼可能用這樣的階段性階段性的一言再言什麼時候落日呢稅制之破壞莫此為甚我也很遺憾啊我本來跟部長講我願意站在你們這邊結果你們自己要退讓啊然後你自己都要退讓我還要當唯一的黑臉嗎 |
transcript.whisperx[271].start |
8023.618 |
transcript.whisperx[271].end |
8039.753 |
transcript.whisperx[271].text |
但是身為立法委員我還是要講出這樣的事實好來請問一下副主委金管會一再的要求要降再當沖這個稅率減半繼續調降你們基的理由是什麼是活絡市場嗎 |
transcript.whisperx[272].start |
8041.863 |
transcript.whisperx[272].end |
8059.717 |
transcript.whisperx[272].text |
是委員因為基本上的話其實根據目前的一個數據剛剛有提到對於不管是市場的交易量流動性以及政府的稅收就是整體而言是都是往上的都是往上的那你機會會短稅收喔你別扯了 |
transcript.whisperx[273].start |
8061.878 |
transcript.whisperx[273].end |
8073.833 |
transcript.whisperx[273].text |
請問一下是不是要活絡那個市場交易?是,其實是。好,那如果我們日均量已經達到4千億、5千億還要再活絡,活絡到什麼程度你們才甘心呢?你們才滿意呢? |
transcript.whisperx[274].start |
8076.84 |
transcript.whisperx[274].end |
8097.812 |
transcript.whisperx[274].text |
其實我們對於國際的成交量目前為止仍然是有差距但我也知道這不能把這個當成一個長久的一個比喻要延長到十年還不長久嗎?十年不夠長久嗎?不是十個月唷我要講的就是你儘管會 |
transcript.whisperx[275].start |
8103.653 |
transcript.whisperx[275].end |
8128.569 |
transcript.whisperx[275].text |
這個市場吃上馬飛之後啊太好吃了要繼續吃即便我們覺得在不管是在交易量活絡市場或者事實上我過去也曾經指出其實大部分的人是虧錢啊少部分的人才賺錢啊國庫有沒有賺錢有啦因為政府是唯一的莊家嘛 |
transcript.whisperx[276].start |
8129.52 |
transcript.whisperx[276].end |
8147.756 |
transcript.whisperx[276].text |
可是第一個這破壞稅制第二個以活絡市場來講從你當時為什麼要這個當沖來降稅是因為活絡市場當時有它的背景包含疫情的關係包含整個的市場不好的關係在我們實施的時候 |
transcript.whisperx[277].start |
8149.028 |
transcript.whisperx[277].end |
8168.941 |
transcript.whisperx[277].text |
日均量在一千億以下我們覺得應該要活絡兩千億你還要活絡三千億你還要活絡現在四千億五千億你還要活絡請問一下我就說請問你的目標在哪裡啊以後七八千億你繼續活絡吧我告訴你因為券商通通都會那個遊說啊繼續降啊 |
transcript.whisperx[278].start |
8173.168 |
transcript.whisperx[278].end |
8195.712 |
transcript.whisperx[278].text |
對不對財政部也擋不住啊財政部只能把從五年擋成三年而已啊施上去就變成馬非啦那就把馬非法治化好了啊就修法嘛我這邊要凸顯的是第一個機管會的荒謬迫於建商 |
transcript.whisperx[279].start |
8197.142 |
transcript.whisperx[279].end |
8217.69 |
transcript.whisperx[279].text |
要求然後你們不敢承擔到時候哎呀這個股市不好怎麼辦哪用用用那個什麼要承擔這樣責任然後財政部呢也擋不住沒有肩膀對於維護稅制也沒有你的立場最後就變成這樣子啊奇形怪狀啊 |
transcript.whisperx[280].start |
8220.43 |
transcript.whisperx[280].end |
8222.291 |
transcript.whisperx[280].text |
時間暫停我請國庫署好時間暫停國庫署還有台九國庫署 |
transcript.whisperx[281].start |
8251.257 |
transcript.whisperx[281].end |
8251.899 |
transcript.whisperx[281].text |
台酒公司 |
transcript.whisperx[282].start |
8260.56 |
transcript.whisperx[282].end |
8282.212 |
transcript.whisperx[282].text |
部長、署長我們台酒公司董事長因為是剛剛上任他就是就是奉命行事吧我在這邊特別要講的就是我們台酒在我們的建國啤酒廠有個最重要你們要把它變成你們的總部大樓的一個原來是都更案現在要變成一個改建案這個事情呢其實吵了非常久 |
transcript.whisperx[283].start |
8286.621 |
transcript.whisperx[283].end |
8311.269 |
transcript.whisperx[283].text |
我要讓部長跟署長知道的是我們台酒公司有一個非常非常重要珍貴的文化資產就是唯一台灣唯一在百年以上的建國啤酒廠它是一個火谷級但是現在因為北克大因為它的效力它以效力不足要求來做分割 |
transcript.whisperx[284].start |
8312.898 |
transcript.whisperx[284].end |
8327.428 |
transcript.whisperx[284].text |
而現在我知道行政院從當時的鄭文燦副院長到現在的陳金德都一路的殺下去讓台酒公司把他的火股機分割給北科大教育我們都支持但是大家也知道校地各處都有 |
transcript.whisperx[285].start |
8335.629 |
transcript.whisperx[285].end |
8349.036 |
transcript.whisperx[285].text |
而且現在少子化一大堆的校地都要閒置了所以現在要找校地其實並不困難可是北哥大因為向上了我們這個建國啤酒廠的這塊地死都又要 |
transcript.whisperx[286].start |
8350.359 |
transcript.whisperx[286].end |
8375.572 |
transcript.whisperx[286].text |
死都要要但是其結果最後它的分割造成一個完整的活股機百年建國啤酒廠的活股機被分割只有頭留在我們的台酒建國啤酒廠身體跟腳都要分割給北科大為什麼呢?因為他要拿來換容機率合理嗎?合理嗎? |
transcript.whisperx[287].start |
8379.54 |
transcript.whisperx[287].end |
8406.495 |
transcript.whisperx[287].text |
所以部長這個地其實那個國庫署應該知道了我要講的是我前兩天開記者會我很不高興的是我們不應該偷跑先去做分割我也知道這樣的一個政策是來自於行政院由上而下的交辦可是這是非常不合理的同樣我真的拜託包含行政院包含台九要有肩膀 |
transcript.whisperx[288].start |
8408.421 |
transcript.whisperx[288].end |
8433.646 |
transcript.whisperx[288].text |
這是你們的資產你在報告裡面還說你要什麼要保存文化資產文化資產在你這邊你都去送給人啊所以請你未來在行政院不管是陳金德不然以後不管以後的副院長跑來跟你講說要分割你都要講說一個好好的文化資產為什麼要把它大卸八塊可不可以 |
transcript.whisperx[289].start |
8435.592 |
transcript.whisperx[289].end |
8460.965 |
transcript.whisperx[289].text |
可以嗎?跟委員報告有關文化資產的保存這絕對要重視而且必須依照文資法的規定要提出有關修復跟再利用的計畫這個絕對是非常嚴謹的那第二個對於目前這一塊土地內政部正在都市計畫的審議當中那相關的審議當然要按照審議的結果來做處理我想這個部分我們應該要尊重都市計畫的審議的結果來做處理所以啦 |
transcript.whisperx[290].start |
8464.775 |
transcript.whisperx[290].end |
8490.747 |
transcript.whisperx[290].text |
都審會都還沒審啊十月二十四號他們準備強行過關啊他們準備準備啊對不起十月二十二號他們準備強行過關但是我希望我們的財政部我們的台九還是要有一些擔當啊自己的文資唯一的耶北科大效益卓著他要有校舍也OK |
transcript.whisperx[291].start |
8492.683 |
transcript.whisperx[291].end |
8507.451 |
transcript.whisperx[291].text |
臺灣這麼多地為什麼非要去找一個一個唯一的百年啤酒廠的一個這個文資地區好不好好謝謝委員謝謝好謝謝主席好謝謝王洪輝委員接著我們請李坤城委員執行 |
transcript.whisperx[292].start |
8519.386 |
transcript.whisperx[292].end |
8535.812 |
transcript.whisperx[292].text |
謝謝主席我們請財政部莊部長還有我們101的董事長甲董事長請莊部長請甲董事長這個我第一次看到我們財委會開會有這麼多的媒體在這個昭文你也很有面子謝謝 |
transcript.whisperx[293].start |
8548.452 |
transcript.whisperx[293].end |
8562.983 |
transcript.whisperx[293].text |
謝謝部長、謝謝賈董事長我先恭喜賈董事長剛完成六大碼之一的芝加哥馬拉松然後還穿著101大樓的背心去跑也算是幫101大樓來行銷所以來當101的董事長也肩負著行銷的重責大任 |
transcript.whisperx[294].start |
8570.77 |
transcript.whisperx[294].end |
8584.504 |
transcript.whisperx[294].text |
今天早上才回到臺北嗎?報告委員是。6點鐘的時候降落。也非常的辛苦。不過請教一下,我剛剛其他委員也有問到,就是說這一次雙十國慶、101有舉辦國慶的煙火。這次國慶我部長事前知不知道? |
transcript.whisperx[295].start |
8592.738 |
transcript.whisperx[295].end |
8595.402 |
transcript.whisperx[295].text |
我是第一次舉辦這個國慶宴是第一次這是董事長自己的想法就對了 |
transcript.whisperx[296].start |
8606.107 |
transcript.whisperx[296].end |
8619.394 |
transcript.whisperx[296].text |
對,這是我很希望說能夠讓臺灣國慶這件事情可以讓世界可以看得到是,出發點跟優異都真的很好那大家也很期待就是覺得說應該會像這一個我們的跨年煙火時間這麼長不過時間比較短是4分鐘逛掉這1分鐘的這個煙火嘛是 |
transcript.whisperx[297].start |
8627.478 |
transcript.whisperx[297].end |
8637.13 |
transcript.whisperx[297].text |
我看你的臉書啦你上面是寫說這個你短短的17天之內把這件事情成功的把它執行完畢那所以當然第一個17天的話時間上 |
transcript.whisperx[298].start |
8638.786 |
transcript.whisperx[298].end |
8657.162 |
transcript.whisperx[298].text |
可能有點短可能有點短就是當然我知道董事長就是希望說在就任之後第一個有表現那第二個說希望說在雙十國慶希望把這一個不是這一個除了總統府有活動之外在101大樓臺灣的地標全世界都知道的這個地方也這個舉辦煙火不過17天的這個時間 |
transcript.whisperx[299].start |
8661.046 |
transcript.whisperx[299].end |
8675.795 |
transcript.whisperx[299].text |
是臨時想到嗎?還是怎麼樣?因為時間來講的確比較短,因為財政部長也不知道。報告委員,其實17天真的是蠻趕的,但是我們是確實有十足的把握才能夠這樣子舉行。 |
transcript.whisperx[300].start |
8677.356 |
transcript.whisperx[300].end |
8702.144 |
transcript.whisperx[300].text |
所以我覺得應該不是說我們的煙火的時間或者是光雕展演的時間而是其實我們在事前確實都已經有所有的公告我們在宣傳的時候也都據時的講我們所有的時間我請問一下那預算是怎麼來的?因為我看說你這個hashtag上面說史上第一個把董事長自己辦公室預算幾乎花光光這個預算是哪裡來的? |
transcript.whisperx[301].start |
8703.324 |
transcript.whisperx[301].end |
8729.75 |
transcript.whisperx[301].text |
這個預算真的就是董事長辦公室裡面的預算因為我們董事長辦公室呢他會有一部分的預算是屬於行銷費用那既然是行銷呢這就完全符合規定那花了多少預算我們花了一百七十萬一百七十萬那其實引起這麼多討論其實一百七十萬其實是值得啦但是你知道101有很多的關股銀行是你的股東是就都在這裡我知道屬於這個101的關股 |
transcript.whisperx[302].start |
8732.442 |
transcript.whisperx[302].end |
8742.053 |
transcript.whisperx[302].text |
我們董事長或是總經理請舉手好嗎有趙鋒然後還有益銀還有華銀還有勒? |
transcript.whisperx[303].start |
8745.017 |
transcript.whisperx[303].end |
8772.173 |
transcript.whisperx[303].text |
有很多啦我看有這麼多舉手所以你看嘛我們有這麼多關股在這邊有很多關股是你的這個董事的代表所以以後有這個活動齁可以事先早點規劃我們有這麼多關股齁可以來支援你然後他們也不用花到說你自己的這一個自己的預算那這是好事我相信齁大家都願意共襄盛舉啦好不好謝謝好謝謝齁那蔣董事長請回謝謝 |
transcript.whisperx[304].start |
8776.022 |
transcript.whisperx[304].end |
8794.173 |
transcript.whisperx[304].text |
總部長,請教一下我記得在今年大概四月份左右我有針對財政部來做質詢當時有提到說營業稅的起徵點要制度化的定期調整第二個小營業額、小定價20萬是否可以調整當時你們是講說營業稅起徵點有可能會來做調整 |
transcript.whisperx[305].start |
8799.315 |
transcript.whisperx[305].end |
8821.997 |
transcript.whisperx[305].text |
但是呢這個二十萬開發票這個極具你們不同意調整那這已經經過半年的時間了耶經過半年的時間那我記得這個你也私底下都有來找過這個委員會有來委員來協調過就是說這起征點如果按照這個CPI來做調整那有可能這個會調整到這一個 |
transcript.whisperx[306].start |
8823.638 |
transcript.whisperx[306].end |
8830.001 |
transcript.whisperx[306].text |
銷售的貨物由8萬調整到10萬,勞務的部分由4萬提升到5萬塊。到底這個研議的如何?何時會公告實施?這個已經超過半年多的時間了。 |
transcript.whisperx[307].start |
8838.826 |
transcript.whisperx[307].end |
8859.204 |
transcript.whisperx[307].text |
是,謝謝委員的關心。這個部分我們近期就會做預告。對。時間的話,我想這個月十月底。十月底會公告實施嗎?預告,我們要預告,因為是一定的程序。對,對,對。十月底預告,那預告期是多久?預告期我們... |
transcript.whisperx[308].start |
8862.246 |
transcript.whisperx[308].end |
8888.213 |
transcript.whisperx[308].text |
大概原則60天,原則上我們把它調整為30天對啊,因為這個東西已經討論很久了是,然後大家也都很關心那只聞樓梯響啊,那一直人就沒有出來我們也把相關的論述把它寫清楚這樣子,所以我們會做這樣調整好,10月底會公告?預告、預告、預告那希望說在11月底能夠公告實施嗎?實施的時間會在 |
transcript.whisperx[309].start |
8892.103 |
transcript.whisperx[309].end |
8920.25 |
transcript.whisperx[309].text |
我們明年的1月1號開始實施那調整的幅度勒?就是原則上就是按委員剛剛這邊的一個是對阿這也是你們當初跟我們提的一個你們這個起徵點可以調的一個幅度嘛是是是謝謝委員的提示對阿因為大家也都在關心阿我想奇怪我也問了這個半年多了那當初你們也很積極就是說希望說委員能夠同意那就半年多的時間過也沒有 |
transcript.whisperx[310].start |
8921.09 |
transcript.whisperx[310].end |
8933.364 |
transcript.whisperx[310].text |
請問一下新青安你們有去做了兩波的查核第一波查核查出人頭戶有170件第二波查核查出違規戶有73件違規戶也做了懲罰我先請問一下這個懲罰目前有去做實施了嗎? |
transcript.whisperx[311].start |
8939.776 |
transcript.whisperx[311].end |
8967.845 |
transcript.whisperx[311].text |
我跟委員報告到目前來說我們查核出來的屬於人頭戶的有209件然後出租的是1366件那這個部分我們各行戶都會去找這些違規則第一個我們要求好那我問說執行執行度如何第二個就是要調整那個貸款的一些條件那目前各我們各個行戶都在積極積極的跟這些貸款戶來做要求我想知道你們的執行的情況 |
transcript.whisperx[312].start |
8968.705 |
transcript.whisperx[312].end |
8995.694 |
transcript.whisperx[312].text |
執行的情況可能各銀行目前都積極都在還在積極做沒關係你就是說比如說到這一個追回的到已經有300多件了因為我們也要好好跟這些民眾好好講當然我知道我只想知道說各個行庫他們的這個執行的情況可不可以我一份資料好的就到10月中好那我再請教一下這一個部長這個統一發票統一發票這一個你們在編的預算數 |
transcript.whisperx[313].start |
8997.074 |
transcript.whisperx[313].end |
9000.236 |
transcript.whisperx[313].text |
這個113年是編了146億然後114年就是明年的預算編了180億增加了34億大概23%左右是不是這個增加了23億 |
transcript.whisperx[314].start |
9012.554 |
transcript.whisperx[314].end |
9017.117 |
transcript.whisperx[314].text |
我們編這個經費有關統一發票中獎獎金跟推廣經費是按照營業稅的預算數3%來編列的所以是這樣的一個情況那增加的一個金額其實我們會在每一年的時候我們會先會規劃每一期的統一發票的開獎的沒有啊我是看你們的預算數啊對對對沒錯所以因為有這樣的一個金額以後我們就會去規劃 |
transcript.whisperx[315].start |
9040.292 |
transcript.whisperx[315].end |
9049.624 |
transcript.whisperx[315].text |
每一期然後統一發票開獎的獎別跟主訴我們會去規劃那如果看執行的結果看執行的結果我重點就在於說啦我重點就在於說你們統一發票獎金呢這個金額有 |
transcript.whisperx[316].start |
9055.552 |
transcript.whisperx[316].end |
9056.213 |
transcript.whisperx[316].text |
獲得獲得獲得獲得獲得獲得獲得 |
transcript.whisperx[317].start |
9084.136 |
transcript.whisperx[317].end |
9101.487 |
transcript.whisperx[317].text |
投獎的,因為它不是雲端發票,這個部分不會...就紙本發票的部分啊。來,署長。報告委員,因為我們投獎它有對號,有紙本也有雲端,所以我們現在加開的是雲端發票專屬獎500元的50萬組,在接下來這兩期。 |
transcript.whisperx[318].start |
9107.87 |
transcript.whisperx[318].end |
9128.798 |
transcript.whisperx[318].text |
明年我們一般來講就會看預算的狀況會不會增加所以我才問部長就是說電子發票的獎數會增加紙本發票的獎數會不會也增加啦重點在這邊啦我們原則上會比較朝向雲端發票的部分因為這是未來整個2050淨雲碳排一個非常重要的 |
transcript.whisperx[319].start |
9129.138 |
transcript.whisperx[319].end |
9159.138 |
transcript.whisperx[319].text |
議員議員議員 |
transcript.whisperx[320].start |
9159.278 |
transcript.whisperx[320].end |
9160.539 |
transcript.whisperx[320].text |
禮貢城委員休息5分鐘 |
transcript.whisperx[321].start |
9636.156 |
transcript.whisperx[321].end |
9655.997 |
transcript.whisperx[321].text |
本席在這裡宣布繼續開會接著我們請王珊珊委員質詢 |
transcript.whisperx[322].start |
9670.503 |
transcript.whisperx[322].end |
9673.945 |
transcript.whisperx[322].text |
財政部莊部長及金管會陳副主委財政部部長及陳副主委 |
transcript.whisperx[323].start |
9686.581 |
transcript.whisperx[323].end |
9698.805 |
transcript.whisperx[323].text |
副主委好我想今天大家都非常關心有關當沖降稅的事我想每個委員都有自己的立場我現在今天要跟大家就教的是有關鼓勵分離課稅的問題 |
transcript.whisperx[324].start |
9700.685 |
transcript.whisperx[324].end |
9719.457 |
transcript.whisperx[324].text |
當然台灣今天金管會的報告我看到了金管會雖然在當沖降稅裡面列出了一些相關的其他國家的狀況然後說我們的證交稅當沖降稅還是符合國際趨勢但是金管會的報告裡面少說了其他國家是有證索稅的 |
transcript.whisperx[325].start |
9720.698 |
transcript.whisperx[325].end |
9742.678 |
transcript.whisperx[325].text |
台灣沒有證所稅所以我們證交稅某個部分取代了部分的證券交易或證券上面的獲利的稅額對吧兩位也就是說不要再用我們的證交稅用當沖降稅讓其他國家沒有證交稅所以我們的證交稅降低是合理的因為台灣沒有證所稅 |
transcript.whisperx[326].start |
9744.983 |
transcript.whisperx[326].end |
9759.015 |
transcript.whisperx[326].text |
是台灣沒有正所稅所以現在的問題是我們現在針對國際的稅改我們希望說他能夠簡化所以在107年的時候我們在鼓勵上面做了分離課稅對吧部長 |
transcript.whisperx[327].start |
9761.018 |
transcript.whisperx[327].end |
9780.653 |
transcript.whisperx[327].text |
二折一合併或分離都可以但是大部分的人大戶都會選擇分離也許小戶他可以用合併所以部長你在107年到現在我們所謂的分離課稅之後你覺得國家的稅收增加了還是減少了 |
transcript.whisperx[328].start |
9782.95 |
transcript.whisperx[328].end |
9801.656 |
transcript.whisperx[328].text |
從統計來看,我們整體的國家稅收是成長的,因為經濟也成長,所以我們稅收就成長。因為股票交易也很多,所以股票沒有分離,所以稅務也增加了。鼓勵投資,鼓勵投資市場活絡,沒有問題。但是你覺得有沒有符合到稅收的公平性? |
transcript.whisperx[329].start |
9803.708 |
transcript.whisperx[329].end |
9820.54 |
transcript.whisperx[329].text |
關於稅收的公平性當然我們可以滾動檢討來做研議我們就直接開門見山講現在的分離課稅大概是28%原來如果繳到所謂的資本利得它如果高的話它去報所得稅的話我們最高可以到40% |
transcript.whisperx[330].start |
9822.764 |
transcript.whisperx[330].end |
9845.023 |
transcript.whisperx[330].text |
所以有很多人大戶們他們可能就選擇了分離課稅所以他的所謂的稅率是大概28%那從負稅署的統計我們在106年當年度的最高所得的級距也就是當時的有效稅率是大概38%下降到35%從106年也就是我們這些實質應該繳稅的大概是38%左右 |
transcript.whisperx[331].start |
9850.888 |
transcript.whisperx[331].end |
9857.24 |
transcript.whisperx[331].text |
但是在我們進行分離課稅之後我們的實質稅率大概降為所謂的28%所以部長我們到底有沒有稅損啊? |
transcript.whisperx[332].start |
9863.305 |
transcript.whisperx[332].end |
9885.233 |
transcript.whisperx[332].text |
我想跟委員報告這要整體來看適用28%的大學生他是沒有其他的可以扣抵的事項的所以我今天就是要總和來用這個稅率來算今天就叫這個事情順便請金管會副主委我想活絡投資市場也是我們的立場但是課稅跟 |
transcript.whisperx[333].start |
9887.79 |
transcript.whisperx[333].end |
9890.172 |
transcript.whisperx[333].text |
行政院函請審議:「證券交易稅條例第二條之三及第十四條文修正草案 |
transcript.whisperx[334].start |
9906.201 |
transcript.whisperx[334].end |
9924.262 |
transcript.whisperx[334].text |
所以沒有人敢刻然後用分離課稅目前是恐怖平衡好不重要重要是給你看這個圖這個圖就是我們課零百分之零就是沒有繳一般勞動所得的人有兩千多戶他其實是分離課稅的申報者 |
transcript.whisperx[335].start |
9925.183 |
transcript.whisperx[335].end |
9932.651 |
transcript.whisperx[335].text |
這些人應該是股票大戶5%他只報5%的有1400戶報到12%的有1300戶報到20%的有1900戶這些人都去申請了分離課稅表示他們如果來申報終所稅的話會超過他的 |
transcript.whisperx[336].start |
9944.364 |
transcript.whisperx[336].end |
9970.264 |
transcript.whisperx[336].text |
二十八所以他選擇二十八也就是說真正的這些可能是退休族沒有其他的收入或者是側欄族或者是純靠股票炒作不是炒作啦投資獲益的人他們大概有五千戶五千戶喔五千戶他是實施稅率他可能原來應該是高於二十八但是他用二十八來繳也就是說我認為啦 |
transcript.whisperx[337].start |
9971.545 |
transcript.whisperx[337].end |
9991.26 |
transcript.whisperx[337].text |
中華民國應該在勞動所得跟資本利得之間找到平衡那顯然我們現在的分離課稅是幫誰減稅幫有錢的人減到稅幫這些沒有其他勞務所得沒有其他薪資所得的人減到稅但是真正的上班族收固定薪水的人減不到稅兩位 |
transcript.whisperx[338].start |
9993.061 |
transcript.whisperx[338].end |
10010.105 |
transcript.whisperx[338].text |
我的問題是這個,所以部長。謝謝,謝謝委員的一個指教。那我想第一個有關鼓勵這一塊部分,我們其實當時在實施出鼓勵採取這個分離課稅或二折一分離課稅這個方式之外,在銀索稅的部分其實也做了調整。總是7到20%。沒關係,部長,這個過程都已經…… |
transcript.whisperx[339].start |
10012.526 |
transcript.whisperx[339].end |
10033.148 |
transcript.whisperx[339].text |
將近五年了。我只是要求說我們是不是從稅收的角度去檢討一下這個分離課稅當然現在是一種平衡的狀態但是我的意思是我們是不是要更去提倡有關勞動所得它可以跟這些資本利得它的比例應該要公平一點 |
transcript.whisperx[340].start |
10034.97 |
transcript.whisperx[340].end |
10048.746 |
transcript.whisperx[340].text |
委員是出於這個就是說對於租稅上面應該要做一些更公平的一些討論我想謝謝委員這方面的提示當然投資28%目前為止大家國人都可以接受但是我要講的是幫勞工階層幫所有的 |
transcript.whisperx[341].start |
10053.411 |
transcript.whisperx[341].end |
10054.552 |
transcript.whisperx[341].text |
財政部跟你們是立場不同嗎? |
transcript.whisperx[342].start |
10080.642 |
transcript.whisperx[342].end |
10099.948 |
transcript.whisperx[342].text |
你們兩邊常常在吵架,對不對?沒有,沒有吵架,我們溝通得很好。我們也會有一個版本啦,我們版本是希望說參考一些學者的意見,我們希望重點是要讓他逐步的符合社會的需求,可能有一個彈性的調整,而不是像現在幾乎是常態化的狀況。是。 |
transcript.whisperx[343].start |
10101.708 |
transcript.whisperx[343].end |
10127.091 |
transcript.whisperx[343].text |
也許大家可以討論但是我還是贊成的是中華民國政府到底要不要鼓勵長期投資今天很多委員都問了要不要鼓勵長期投資我們有沒有任何的政策引導或工具來鼓勵長期投資目前好像沒有對吧長期投資有任何的優惠或者減稅或者是給他什麼樣的機制嗎副主委 |
transcript.whisperx[344].start |
10127.85 |
transcript.whisperx[344].end |
10153.082 |
transcript.whisperx[344].text |
是目前為止的話其實對於個人的部分的話個人部分其實我們還在還在你們還在努力嘛提撒這個第一部分提撒要不要做嘛現在財政部就是覺得不知道怎麼怎麼核稅嘛所以他們很難做那你儘管會要幫忙啊不會用稅制的這種的讓這個市場上做出一個台灣特色的提撒對好那時間暫停我請一下臺北金融大樓的好時間暫停董事長 |
transcript.whisperx[345].start |
10158.186 |
transcript.whisperx[345].end |
10159.106 |
transcript.whisperx[345].text |
負主委請留步負主委 |
transcript.whisperx[346].start |
10177.813 |
transcript.whisperx[346].end |
10202.525 |
transcript.whisperx[346].text |
我想董事長今天到立法院來非常備受矚目我想今天主要要問的是我們證交所即將在2030年會搬家也就是臺北金融大樓裡面最重要的一個國家級的指標有關金融業的指標可能會撤離臺北金融大樓那我來自臺北市臺北101是臺北市的地上權所以它對臺北很重要我想問一下 |
transcript.whisperx[347].start |
10205.426 |
transcript.whisperx[347].end |
10212.577 |
transcript.whisperx[347].text |
101對於將來證交所幫F4搬走搬到北門去101有什麼意義我們要怎麼樣維持臺北金融大樓的國際地位 |
transcript.whisperx[348].start |
10214.342 |
transcript.whisperx[348].end |
10241.904 |
transcript.whisperx[348].text |
我想如果證交所他真的需要搬走的話呢其實沒有問題耶因為我想台北金融大樓呢我們一直以來在不管是我們拿到的綠建築我們是全世界最高的綠建築我們有這樣子的一個辦公條件跟環境呢其實有非常多優質的企業他們是會想要來進駐的董事長我想還是要強調一個 |
transcript.whisperx[349].start |
10242.885 |
transcript.whisperx[349].end |
10264.182 |
transcript.whisperx[349].text |
它叫台北金融大樓所以要把金融業最頂尖的最相關的國際級的指標最具競爭力的要維持台北101的標示所以副主委你的任務是你當時在當學者的時候主張F4要展併F4現在要搬到同一個地方去了那台北金融大樓你有什麼未來的規劃 |
transcript.whisperx[350].start |
10267.102 |
transcript.whisperx[350].end |
10284.653 |
transcript.whisperx[350].text |
其實我們對於這個證明主要是因為其實我們在櫃買中心或者是旗家族這邊會被趕來趕去所以需要一個自己的家所以目前規劃是在華山把F4把它整個搬過去所以從來沒有考慮過F4搬到伊犁里亞 |
transcript.whisperx[351].start |
10287.114 |
transcript.whisperx[351].end |
10306.3 |
transcript.whisperx[351].text |
北門那邊說全部搬到101你要不要跟101商量一下如果假設國家級的指標都搬到公部門我也沒有意見但是台北101的確是台灣最重要的金融指標所以這個部分其實你們可以慎重再重新考慮一下可以嗎? |
transcript.whisperx[352].start |
10307.213 |
transcript.whisperx[352].end |
10331.731 |
transcript.whisperx[352].text |
副主委,我想你的構想很好因為非常的亂我也贊成所有的金融單位應該要整合在一起但它要有一個就像紐約一樣你看到的紐約證交所你就知道那裡是最重要的一個核心同樣的證交所搬走以後台北印尼的地位可能會受影響這也是我擔心的地方好不好兩位可以去好好協商一下我們的副主委非常有創意謝謝 |
transcript.whisperx[353].start |
10334.913 |
transcript.whisperx[353].end |
10337.134 |
transcript.whisperx[353].text |
主席、各位立席官員大家好主席有請財政部莊部長是部長 |
transcript.whisperx[354].start |
10364.152 |
transcript.whisperx[354].end |
10382.968 |
transcript.whisperx[354].text |
部長好部長新的會期除了審查預算在這邊本席要先向你探討目前最引起民眾關注的議題還是新清安新清安是為了幫助年輕人圓夢所以祭出了許多的優惠政策 |
transcript.whisperx[355].start |
10384.269 |
transcript.whisperx[355].end |
10411.369 |
transcript.whisperx[355].text |
雖然利益良善但是漏洞百出賴總統強調要爭取青年的支持本席沒有什麼意見因為青年買不起房政府就透過最直接最容易讓選民理解的方式介入也就是用補貼以及放寬信貸範圍的方法來協助青年可以用較寬鬆的房貸政策買房 |
transcript.whisperx[356].start |
10413.49 |
transcript.whisperx[356].end |
10437.931 |
transcript.whisperx[356].text |
簡單直白的介入直接帶動了房價的上漲也衍生出許多的投機行為這部分雖然財政部有做了相關的懲罰措施去預防不肖的投機行為但是我要強調的是信心案帶動房價的上漲以及銀行資金大規模的流入房屋市場那其實這些都讓央行跟金管會很頭痛 |
transcript.whisperx[357].start |
10438.922 |
transcript.whisperx[357].end |
10441.123 |
transcript.whisperx[357].text |
五年之後,本金加上利息的償還壓力會有多少人無法負擔? |
transcript.whisperx[358].start |
10461.119 |
transcript.whisperx[358].end |
10484.5 |
transcript.whisperx[358].text |
跟委員報告新清安他的政策目的很清楚就協助沒有房屋的人買第一間自住房屋在他收入不是很高的時候政府給予協助然後寬限期給予五年但是這個是一個剛性的需求但是房地產價格上漲絕不會只有這一個因素那新清安我覺得不應該的是運用新清安之名進行投資 |
transcript.whisperx[359].start |
10484.98 |
transcript.whisperx[359].end |
10510.4 |
transcript.whisperx[359].text |
只投機甚至烘台房價這是最不應該的但是不能把新清安給予污名化認為說這個政策不對當然新清安這個部分我們也請航空們第一個就是說在貸錢審核的時候要落實相關的規範同時對於來申請貸款的人要讓他知道也就是說你貸這樣的一個金額那你以後的還款的一個每一期的一個情況是怎麼樣 |
transcript.whisperx[360].start |
10511.361 |
transcript.whisperx[360].end |
10532.31 |
transcript.whisperx[360].text |
另外對於寬限期五年大家都說青年朋友運用五年的寬限期五年後就把它賣掉其實我們統計出來用寬限期五年的只有百分之二十五就四分之一的人甚至有百分之五十一的貸款新金安的人他是沒有使用寬限期因為他也希望他盡快能夠償還本金跟利息 |
transcript.whisperx[361].start |
10535.271 |
transcript.whisperx[361].end |
10557.5 |
transcript.whisperx[361].text |
三年是14%所以這個部分我覺得我們的青年朋友基本上是勤奮而且會珍惜他的第一間房子台灣因為很多人說台灣房價20年來都沒有跌過所以想買就買不用擔心賠錢那所以五年之後有這些想法的人會將用新千安去貸款的房子 |
transcript.whisperx[362].start |
10558.5 |
transcript.whisperx[362].end |
10584.123 |
transcript.whisperx[362].text |
販賣出來所以也許就是說未來有這樣的想法的人把做這樣的行為的到時候房市供過於求那量會很大那房價就會大跌所以不管是哪一種結果都不是我們在制定政策的初衷不是我們的目標那當然我們希望我相信他們也會珍惜這一間房子因為青青安現代政策目標是好的但是在當初在規劃的時候 |
transcript.whisperx[363].start |
10585.965 |
transcript.whisperx[363].end |
10604.802 |
transcript.whisperx[363].text |
當初就沒有說去做過這樣子的可行性的研究跟分析有沒有想過剛剛我說的那一些話財政部在制定這個過程當中那如果說當初也有這些會有這些顧慮那是算不算一種自欺的行為就是說決策錯誤但是還是要做 |
transcript.whisperx[364].start |
10605.592 |
transcript.whisperx[364].end |
10621.884 |
transcript.whisperx[364].text |
委員報告其實我們公股航庫在放貸新清安的時候他們也是非常謹慎的也就是說申請的人他必須要把他的一個收入的情況要讓銀行知道他也會去做評估那我們其實看一下齁這裡面他們買的房子齁在 |
transcript.whisperx[365].start |
10623.746 |
transcript.whisperx[365].end |
10644.24 |
transcript.whisperx[365].text |
購物的總金額在800萬以下的是28%1000萬以下的是45%那1500萬以下是佔了78%所以青年朋友們他在買房子的時候他還是依然依照他的財務的可能性去辦理這個新金安那我相信他們對於買了這個房子也會珍惜我相信在座的許多 |
transcript.whisperx[366].start |
10645.56 |
transcript.whisperx[366].end |
10672.09 |
transcript.whisperx[366].text |
在座的許多人不管是公務或非公務部門都有這樣的一個經驗去買第一間房子然後一直在付貸款我想這個都是可以相信的我們要打草房嘛對不對所以就是不是說單純的數據分析然後這個數據就美化數據然後就忘掉這些隱憂我們是要把這個政策在製作的過程當中有一些不足的有一些錯誤的我們要把它找出來 |
transcript.whisperx[367].start |
10672.19 |
transcript.whisperx[367].end |
10695.519 |
transcript.whisperx[367].text |
是,我想委員也是出於這個提醒我們的過半,謝謝委員。是的,謝謝委員。好,那接下來我再請教就是說我有關注財政部的YouTube那看到財政部在對於政策的宣導拍了很多的短片那包括發票這個還有安養信託但是新簽案影片卻不見了齁 |
transcript.whisperx[368].start |
10696.799 |
transcript.whisperx[368].end |
10719.581 |
transcript.whisperx[368].text |
根據銀行法第72條之二的規定商業銀行在辦理住宅建築還有企業建築的一個放款總額不得超過這個30%滿水位是30%那現在超過警戒值的我剛剛有聽其他委員的詢問我們也有5家航空有超過那所以這種 |
transcript.whisperx[369].start |
10723.692 |
transcript.whisperx[369].end |
10745.56 |
transcript.whisperx[369].text |
為什麼要設這個規定?就是說要防止金融機構因為過度放貸而引發系統性的風險那我要請教說下架影片是不是已經意識到政策火燒央行那房貸的水位已經拉警報所以要趕快下架是不是間接證明說財政部已經不再鼓勵不希望年輕人繼續使用簽案 |
transcript.whisperx[370].start |
10747.227 |
transcript.whisperx[370].end |
10767.474 |
transcript.whisperx[370].text |
新青安的政策目前還是在執行當中那這影片的部分是銀行他們自主營運的事項而且新青安現在一開始推出的時候當然有些宣導那事實上大家都熟能詳了那我想這個部分銀行基於自主去調換他的影片播放的內容我想這個部分是自主經營的一個事項 |
transcript.whisperx[371].start |
10769.356 |
transcript.whisperx[371].end |
10797.171 |
transcript.whisperx[371].text |
部長 這個問題擺出因為我當然希望每一個年輕人都能夠買到自己喜歡的房子那不過絕對不是靠著這樣子說增加貸款沒有上限的這種方式這個不只是會對金融機構產生引發可能引發的系統性的風險我以為是有上限的是有上限的我當然是有上限我說你放寬它的上限放寬它的年限800到100那這樣的情況之下就是會 |
transcript.whisperx[372].start |
10799.012 |
transcript.whisperx[372].end |
10827.437 |
transcript.whisperx[372].text |
剛剛有其他委員有提到我們過去有其他不同的政策來抑制房價的一個過度的一個上漲那但是我們確實看到了最近我們這個萬物起漲尤其是台灣的房價這個也是政策導致的嘛就是清安政策導致嘛所以我們要告訴部長就是說對於這個五年寬限期過後會發生的這種狀況這種風險我連想都不敢想 |
transcript.whisperx[373].start |
10829.741 |
transcript.whisperx[373].end |
10854.835 |
transcript.whisperx[373].text |
就像說總統現在唱白臉我們賴總統唱白臉但是央行要出來搬黑臉財政部要出來搬黑臉那是不是當初在製作這個政策的時候就沒有私立周全反而又波及到無辜的民眾對不對你現在央行限收限收貸款也是去去危害到其他正常需求的這些這些這些無辜的民眾啊對不對 |
transcript.whisperx[374].start |
10856.881 |
transcript.whisperx[374].end |
10874.891 |
transcript.whisperx[374].text |
委員報告我剛已經說過五年申請五年寬限期是要有四分之一啦就二十趴嘛對不對二十那好那我再請教齁產生條例的部分雖然是經濟委員會審查但是也是我們財政部努力推動的一件事那為了推動國內企業化 |
transcript.whisperx[375].start |
10876.412 |
transcript.whisperx[375].end |
10904.132 |
transcript.whisperx[375].text |
智慧轉型108年制定的產創條例第十條之一只要構置智慧機械或5G通訊系統相關的硬體軟體技術或技術服務提供企業投資抵減租稅優惠就要在今年的年底落日了經濟部跟財政部有研議過就是說將支出上限拉高至18億元 |
transcript.whisperx[376].start |
10907.575 |
transcript.whisperx[376].end |
10925.575 |
transcript.whisperx[376].text |
減低率維持不變也就是說企業最高可以用九千萬抵減當年度的因納的營業事業所的稅的稅額那適用年限延長到二零二九年那現在兩個部會已經有共識了那麼請教部長什麼時候要上來立法院審查 |
transcript.whisperx[377].start |
10927 |
transcript.whisperx[377].end |
10947.137 |
transcript.whisperx[377].text |
委員報告這個部分因為是屬於經濟部主管的但是我們知道他在10月4號已經預告了在預告那必須要完成相關的一個一定的流程預告期滿以後看看外界的意見然後再中整要報行政院然後再送到立法院我是希望說盡快送過來是是是謝謝了因為對於企業智慧轉型這樣子的 |
transcript.whisperx[378].start |
10951.6 |
transcript.whisperx[378].end |
10970.716 |
transcript.whisperx[378].text |
產生條例很重要第一個能夠把產業推向智慧化、高效化能夠創造更多的就業機會更多的這種高科技、高薪的就業機會希望能夠順利的在年底能夠在年底前錄音能夠延長好不好?是,謝謝,謝謝委員謝謝部長好,接著我們請王世堅委員質詢 |
transcript.whisperx[379].start |
10992.173 |
transcript.whisperx[379].end |
11016.366 |
transcript.whisperx[379].text |
謝謝主席我請財政部莊部長好請部長委員好部長你上任到現在齁有認真的一面啦不過我四個字定義你啦四重而交過去前一任內閣 |
transcript.whisperx[380].start |
11018.291 |
transcript.whisperx[380].end |
11045.917 |
transcript.whisperx[380].text |
大概都拍拍畢業照都走了你是少數難得的那一兩位留下來但是就因為你被留下來你覺得你可能表現很好特殊才能獲得肯定所以才被留任但是我說你恃寵而驕是什麼恃寵而驕衍生而來的就是 |
transcript.whisperx[381].start |
11047.156 |
transcript.whisperx[381].end |
11064.526 |
transcript.whisperx[381].text |
末手成乖、抱殘手缺就這麼簡單我拿稅制來講就好稅制跟你提那麼多次啦說我們有很多不合宜的稅制像娛樂稅、印花稅、汽車關稅、機車貨物稅保健品關稅 |
transcript.whisperx[382].start |
11073.25 |
transcript.whisperx[382].end |
11101.292 |
transcript.whisperx[382].text |
這些都是現在最為社會所詬病的我相信你也很清楚啊跟你談了一個會期啦要求說你針對這五大不合時宜應該調整的稅制去做一些調整你馬上回答說委員這要先找到替代財源那我現在請問你啊 |
transcript.whisperx[383].start |
11102.981 |
transcript.whisperx[383].end |
11127.226 |
transcript.whisperx[383].text |
六年前富人稅富人稅最高級距的所得稅45%富人稅你一點不曉得怎麼搞的可能風大了一點就取消了我要請問富人稅替代財源在哪裡你找到了沒有根本沒有那你不是取消嗎明白 |
transcript.whisperx[384].start |
11131.585 |
transcript.whisperx[384].end |
11139.548 |
transcript.whisperx[384].text |
我是告訴你我還沒有你掌握的份啦我觀察你很久啦你就是那個態度我跟你講齁我跟你講如果你只是要守住這些稅收我一毛多不少你要莫守成規 |
transcript.whisperx[385].start |
11154.378 |
transcript.whisperx[385].end |
11175.707 |
transcript.whisperx[385].text |
這些國產你通通不要動那坦白講你的位置那就負稅署長來做就好啊那就國庫署長來做就好啊甚至那101董事長來做也可以啊101董事長至少他夠年輕有衝勁不是這樣嗎他願意嘗試嘛願意把立法院的聲音 |
transcript.whisperx[386].start |
11182.882 |
transcript.whisperx[386].end |
11209.812 |
transcript.whisperx[386].text |
放進去好好研究不是嗎啊你聽了一整個會期我看你有聽到沒聽到就對了所以我不懂啦我不懂你這是這是什麼樣的心態對你而言我上個會期我說我要送你一個十字架這個十字架橫批就是國產直批就是稅收 |
transcript.whisperx[387].start |
11211.26 |
transcript.whisperx[387].end |
11232.393 |
transcript.whisperx[387].text |
你的那個態度跟你現在表情一樣誰都想要搶走我的十字架你就是你就是這個態度但是我們現在社會需要的是很多創新跟改革比方說稅制你知道嗎那個我們機車有1400萬輛每年增加20萬輛你把機車 |
transcript.whisperx[388].start |
11241.756 |
transcript.whisperx[388].end |
11262.008 |
transcript.whisperx[388].text |
貨物稅平均下去每輛機車我們抽2萬5到3萬的稅金而機車是現在年輕朋友們是上班族、送貨族他們最需要的交通工具而且是他們的生財工具結果 |
transcript.whisperx[389].start |
11265.561 |
transcript.whisperx[389].end |
11269.403 |
transcript.whisperx[389].text |
機車這麼高的現在買部機車隨隨便便7、8萬就是因為3萬塊的稅金這該降你不降 |
transcript.whisperx[390].start |
11276.121 |
transcript.whisperx[390].end |
11298.716 |
transcript.whisperx[390].text |
好了你說找到替代裁員我今天就請問你啊我剛剛講的這些包括運貨稅包括娛樂稅好歹你也找學者專家來研究一下嘛不是這樣嗎你也擬出一下要不然我們怎麼對策要不然我們逐年來講你通通都不 |
transcript.whisperx[391].start |
11299.895 |
transcript.whisperx[391].end |
11321.001 |
transcript.whisperx[391].text |
我跟你講喔,今年的稅金三兆一千你說嘛你自己說要收三兆一千五百億五百億不講啦人家這樣不要說啦,三兆一千億就好機車貨物稅五十億這個對比起來像什麼呢對比起來像你身上帶的三千一百塊錢那五塊錢銅板不是嗎 |
transcript.whisperx[392].start |
11326.909 |
transcript.whisperx[392].end |
11353.579 |
transcript.whisperx[392].text |
五十億就像五塊錢銅板你身上帶了三千一百塊你掉了五塊錢銅板你還懶得撿勒你怕沾到水溝水勒不是這樣嗎弄髒了手所以你根本就是沒有那個心要在稅制上面在你轄管的這麼重大攸關全民福祉 |
transcript.whisperx[393].start |
11356.448 |
transcript.whisperx[393].end |
11380.88 |
transcript.whisperx[393].text |
利益的稅制上面去做調整那其他更不用講我們提案不只我好幾席立委我們提案我們提要對中小企業加薪的部分減稅投一個反對的又是你啦好啦我今天再跟你提另外一個議題你有帶九大公營航空董事長、總經理來嗎我先前在講說 |
transcript.whisperx[394].start |
11386.089 |
transcript.whisperx[394].end |
11412.857 |
transcript.whisperx[394].text |
我對於這薯條三兄弟啊這三大租賃公司他們的惡行惡狀我就不講我講說他跟我們公營行戶借款齁這個部分連審計部的報告裡面人家他也他觀點跟我都一致他在檢討這個我就講裡面的一點就好他說啊 |
transcript.whisperx[395].start |
11414.684 |
transcript.whisperx[395].end |
11436.66 |
transcript.whisperx[395].text |
公營航庫貸款給薯條三兄弟的說利息最低的利息只有0.95%部長你問一下那個九大公營航庫站起來我看一下好不好誰貸款給薯條三兄弟0.95%誰啦哪一家自己舉手 |
transcript.whisperx[396].start |
11442.753 |
transcript.whisperx[396].end |
11468.154 |
transcript.whisperx[396].text |
審計部查的啊審計部的報告時間暫停九大公營航空有沒有來有沒有來有來你站起來好不好你們查一下啊哪一家沒那麼低審計部講的啊所以我才問我在執行的時候我還幫你們講話說欸你們吼 |
transcript.whisperx[397].start |
11472.594 |
transcript.whisperx[397].end |
11492.962 |
transcript.whisperx[397].text |
一、六、五趴這個就已經超低啦為什麼?你借他一、六、五趴鼠條三兄弟去借二十趴給我們需要錢的民眾他們是吸血高利貸耶公營安庫這麼做叫做助紂為虐 |
transcript.whisperx[398].start |
11494.363 |
transcript.whisperx[398].end |
11499.786 |
transcript.whisperx[398].text |
好了現在我說的1.65人家審計部說沒有利率是0.介於0.95啦有啦高一點 |
transcript.whisperx[399].start |
11508.206 |
transcript.whisperx[399].end |
11533.319 |
transcript.whisperx[399].text |
你們借高一點有到4%、5%啦那個部長你怎麼說你回去查查好不好我們這裡也有資料但是到6月在6月的話都是2、2.5左右以上的沒有到0.9的對啦那個我說1.65以後我自己看了資料我查到最低的啦第一銀行是不是還是台銀1.11啦現在審計部的報告你們說0.95 |
transcript.whisperx[400].start |
11537.677 |
transcript.whisperx[400].end |
11554.174 |
transcript.whisperx[400].text |
所以部長你還寫一份我要求署條三兄弟的事情你還寫了一份你是來質疑我是不是你說王委員質詢內容將不同年度之年均年平均動用金額相加起來簡單講啦公營航空借了1450億給 |
transcript.whisperx[401].start |
11562.838 |
transcript.whisperx[401].end |
11584.211 |
transcript.whisperx[401].text |
屬條三兄弟去放高利貸這是事實九大供應安庫你們董事長、總經理都換新了啦我希望你們回去因為這先前不是你們幹的所以你們回去好好檢討這些事情千萬不要助紂為虐好不好九大之後你們幾個站起來其他呢 |
transcript.whisperx[402].start |
11586.687 |
transcript.whisperx[402].end |
11607.583 |
transcript.whisperx[402].text |
一、二、三、四、五、六、七、八九位齁我手上請坐請坐那個部長你請回來你把我剛講的這些你帶回去好好想一想啦謝謝委員那個金管會來金管今天主委請假齁副主委一樣一樣那個副主委委員好 |
transcript.whisperx[403].start |
11612.45 |
transcript.whisperx[403].end |
11640.987 |
transcript.whisperx[403].text |
講到薯條三兄弟齁那時候你們有到我研究室來我們現在用一個最新的方式啦齁就是說從金融消費保護法那麼從這邊先來做起那就是找薯條三兄弟商量就是請他要接受金融消費保護法的約束法你說要去找他們談給薯條三兄弟一個重量的機會啦 |
transcript.whisperx[404].start |
11642.591 |
transcript.whisperx[404].end |
11666.365 |
transcript.whisperx[404].text |
那結果去談的怎麼樣?是,那我們有先請理事長邀這三家公司到我們會來談那目前為止的話我們的這個執法這邊的也在草擬當中那當然還是會有一些反彈但是我們就跟他講那個這個東西是社會的公益我們要管的目前為止這只是一個過渡將來還有專法 |
transcript.whisperx[405].start |
11668.206 |
transcript.whisperx[405].end |
11680.997 |
transcript.whisperx[405].text |
所以寧願現在進來,我們也會其實讓他們在這個所謂的這個在借款這方面如果他們願意進來,我們也會有一些比較適當的輔導措施我簡單講就是給他重量的機會他現在還拒絕就對了 |
transcript.whisperx[406].start |
11684.997 |
transcript.whisperx[406].end |
11709.719 |
transcript.whisperx[406].text |
那就是非得我們因為我們立法我們現在好幾位我們都在寫融資駐定公司管理法那因為本會期是預算會期我們怕這個案子要通過可能還要再更久一點的時間所以才會妥協說要不然先用這個法去約束他們你最短時間內把這個具體看談判的過程結果怎麼樣給我好不好 |
transcript.whisperx[407].start |
11711.239 |
transcript.whisperx[407].end |
11723.604 |
transcript.whisperx[407].text |
主席不好意思我最後再一分鐘我們現在大的政策方向我們國家要成立我們要作為亞太金融中心這個非常好可是 |
transcript.whisperx[408].start |
11725.868 |
transcript.whisperx[408].end |
11740.718 |
transcript.whisperx[408].text |
那個副主任你記不記得我提過亞太金融中心我們就是希望亞洲各國尤其東南亞大家把錢來到我們台灣投資讓我們台灣來管理可是我當時就點 |
transcript.whisperx[409].start |
11742.554 |
transcript.whisperx[409].end |
11749.078 |
transcript.whisperx[409].text |
我說我們國家的受險資金可動用資金餘額32兆裡面有70%有22兆 |
transcript.whisperx[410].start |
11758.263 |
transcript.whisperx[410].end |
11772.847 |
transcript.whisperx[410].text |
是買國外的債券跟基金我們希望管別人的資金結果自己的錢一百塊裡面七十塊是給別人管然後再成立什麼很奇怪囉我們自己承認說國外的比我們更好 |
transcript.whisperx[411].start |
11779.687 |
transcript.whisperx[411].end |
11804.492 |
transcript.whisperx[411].text |
有人逼我們好我們就不是最好不是嗎那我們找誰來投資我們來在我們這邊做金融營運中心這不是矛盾嗎更何況這70%很多都已經曝顯了戰爭的風險俄國的部分匯率的風險各國都有一些匯率的風險所以我一再的講 |
transcript.whisperx[412].start |
11805.572 |
transcript.whisperx[412].end |
11819.788 |
transcript.whisperx[412].text |
我們應該每一年至少3%到5%趕快引導他們回來投入我們國內需要的公共建設我們國內的公共建設除了看得到的 |
transcript.whisperx[413].start |
11820.629 |
transcript.whisperx[413].end |
11844.265 |
transcript.whisperx[413].text |
社會住宅、交通設施、捷運、鐵路以外我們還有長照我們還有那麼多長照設服機構需要列入公共建設的資金來幫助好不好我希望你把這些話聽下去這是這會期我後續會再跟你們來追蹤的好不好是謝謝委員指教我們一定努力好謝謝 |
transcript.whisperx[414].start |
11847.509 |
transcript.whisperx[414].end |
11875.572 |
transcript.whisperx[414].text |
接著我們請羅明財委員那個質詢來主席一個人出列習慣單好主席請莊部長好部長委員好莊部長終於有見面了是在剛才這三個會期啊 |
transcript.whisperx[415].start |
11876.414 |
transcript.whisperx[415].end |
11904.241 |
transcript.whisperx[415].text |
就是有關財政收支劃分法我們發現這個二十二縣市可以說是富者越富、貧者越貧那長期失衡的關係之下二十五年沒修的財判法這個會期總應該提出版本要趕快來進行的吧不曉得你現在的作業的情況什麼時候要提出每個地方都RO逮捕 |
transcript.whisperx[416].start |
11906.72 |
transcript.whisperx[416].end |
11932.832 |
transcript.whisperx[416].text |
財政委員報告財政法這個部分我們在8月9月已經在開了兩次會在積極的溝通跟協調地方政府對於指標的意見那我想在第一次已經把八十幾個縮減為五十幾個第二次會議的時候獲取更大的一個共識相關的應該納入的有共識部分包含人口數、土地面積、營利事業的營業額等等這都要放進去可是還有三個指標大家有不同的營業額 |
transcript.whisperx[417].start |
11932.912 |
transcript.whisperx[417].end |
11943.134 |
transcript.whisperx[417].text |
主要意見也就是支出節流的一個努力這個部分還有就是污染防治還有再生能源這樣的一個指標要放或不放各地方政府還有不同的意見那除了這個之外指標之外還有有關的權重還有調整係數的部分都還要進一步的討論所以我們認為因為財發法這個部分雖然25年沒有修正但是中央透過統籌分配稅款還有一般性的補助款 |
transcript.whisperx[418].start |
11961.398 |
transcript.whisperx[418].end |
11965.263 |
transcript.whisperx[418].text |
一起在一直在挹注地方的財政同時透過計劃型的補助款讓地方能夠做更好的一個發展其實我們從數據來看的話113年比105年的統籌加上一般補助款已經成長46.7%是明年還會再增加900億沒有什麼嗷嗷待補啊 |
transcript.whisperx[419].start |
11983.967 |
transcript.whisperx[419].end |
11995.734 |
transcript.whisperx[419].text |
來自新北市上新北人口400多萬人最多平均下來我們獲得的補助卻是倒數競賠莫做 |
transcript.whisperx[420].start |
11998.635 |
transcript.whisperx[420].end |
12022.93 |
transcript.whisperx[420].text |
本席值積極地為整個新北市的市民來請命來爭取就這五年以來當然有多增加一點增加一點但是還不足還是不夠你看看侯友宜市長他的規劃裡面每一年必須要多出大概五百億 |
transcript.whisperx[421].start |
12024.247 |
transcript.whisperx[421].end |
12047.129 |
transcript.whisperx[421].text |
雖然經過本席不斷的爭取,你有沒有數據表格?從五年前到現在,新北爭取增加了多少?今年度跟去年比起來,會不會再增加?增加多少?我是希望至少一百多億啦,但是你今年大概金額下來,也是還是不足啊? |
transcript.whisperx[422].start |
12048.649 |
transcript.whisperx[422].end |
12055.603 |
transcript.whisperx[422].text |
其實一百多億看起來很多但是你二十九區平均下來其實就一點點而已 |
transcript.whisperx[423].start |
12057.478 |
transcript.whisperx[423].end |
12077.335 |
transcript.whisperx[423].text |
我想羅委員來自新北市當然為新北市民來爭取更好的一個財源這個我們都可以理解那當然是我們也想到其他各個選區的委員們同樣也都在為他的選區爭取那也就大家都就他各有利的指標比如說新北市人口最多是沒有錯人口最多但是人口裡面我們將來還會要考慮那人口裡面還要考慮一個結構的部分 |
transcript.whisperx[424].start |
12081.118 |
transcript.whisperx[424].end |
12108.795 |
transcript.whisperx[424].text |
因為部分縣市會說我的人口雖然不是最多可是我裡面65歲的年長者或者是14歲以下的孩童他是要施政成本比較高的但我的結構可能占比比較高譬如說土地面積也是一樣土地面積大的他認為是我的土地面積最大但是部分縣市說我的土地面積雖然不是最大可是我裡面都是農地啊我是填富又停征所以我的地價稅又沒有收入這個部分所以各個地方的 |
transcript.whisperx[425].start |
12110.075 |
transcript.whisperx[425].end |
12125.581 |
transcript.whisperx[425].text |
地方政府以及我相信我們各位的民意代表們都會為他自己的選區來爭取那這個時候我們必須要怎麼樣去平衡去計算一個合宜合理的一個公式部長你就如其所願每個地方真的需要的你就直接給他 |
transcript.whisperx[426].start |
12126.406 |
transcript.whisperx[426].end |
12138.742 |
transcript.whisperx[426].text |
因為中華民國不是沒有錢啦你比如說證交稅光是證交稅今年啦這個現在十月了九月都達標了吧累計下來 |
transcript.whisperx[427].start |
12140.294 |
transcript.whisperx[427].end |
12153.648 |
transcript.whisperx[427].text |
10月是達到我們的預算數了,到9月底9月底已經達到了嗎?已經達到,但是證交稅要看股市的一個成交量,跟股市的成交量很有關係對,所以你遇到問題的話,我們大陸來幫你想辦法比如說當中降稅,當初你們一直想說當中降稅稅收會減少 |
transcript.whisperx[428].start |
12160.856 |
transcript.whisperx[428].end |
12170.099 |
transcript.whisperx[428].text |
但是事實上當從降稅這幾年來你來看看我們的證交稅是增加還減少就去年來說的話是增加多少 |
transcript.whisperx[429].start |
12171.701 |
transcript.whisperx[429].end |
12200.589 |
transcript.whisperx[429].text |
證券交易稅其實每年的情況不一樣跟它的成交量有的時候加有時候減是真的落差幅度是蠻大的譬如說去年來說的話增加了多少去年您是說達成預算數是不是全部的稅收證交稅的部分對證交稅部分我們這個數據可以再查一下我都算過你跟大概當沖實施之前每一年度都增加去年增加多少前年增加多少 |
transcript.whisperx[430].start |
12201.665 |
transcript.whisperx[430].end |
12226.734 |
transcript.whisperx[430].text |
一一二年我們的實徵數是一千九百七十三億比預算數是成長了四百多億比當沖降稅實施之前當沖降稅實施之前他只有成交量只有七百億一千億都不到他的徵交稅的數字就更低了更低了嘛對低多少105年的時候是七百零八億106年是八百九十九億 |
transcript.whisperx[431].start |
12227.654 |
transcript.whisperx[431].end |
12233.938 |
transcript.whisperx[431].text |
實施117年的時候是1011億所以相較之下每一年都多出了300億、600億到108年又只有900億了還不到1000億所以你平均每一年多了大概三五百億這個數字是不是會說那個數字變化很大110年是2700億但是111年只有1700億 |
transcript.whisperx[432].start |
12256.04 |
transcript.whisperx[432].end |
12282.64 |
transcript.whisperx[432].text |
對,所以它的要看市場的一個狀況對,你不能用單一來算你如果用單一的話倒不如你全部加總算起來跟以前比多多少那我們再加一下算一下待會再提供對,這個數字大家都看得到所以你現在的重點不是說你一直各縣市那麼欠缺的情況之下你要補助你就蔣東蔣西那事實上 |
transcript.whisperx[433].start |
12284.008 |
transcript.whisperx[433].end |
12292.155 |
transcript.whisperx[433].text |
在這裡我們有通過很多的預算案比如說國防軍購好了去年軍購增加了多少?買軍火 |
transcript.whisperx[434].start |
12301.141 |
transcript.whisperx[434].end |
12326.725 |
transcript.whisperx[434].text |
不眨眼然後跟這個地方要補助的這些情況就跟蜘蛛屋講半天部長你就當一個樂觀當一個慷慨的財神爺大家有需要沒有需要不會來找你嘛那你真的缺錢你缺錢來找我們委員啊我們不是提了很多的案 |
transcript.whisperx[435].start |
12328.288 |
transcript.whisperx[435].end |
12355.316 |
transcript.whisperx[435].text |
例如說當沖降稅今天要討論啊我為了你都是為了你我把時間延長我提五年還被你們做掉新的主委跟我講說五年所以我就支持他我提五年就你們還是一樣小氣的這個制度小氣的心態又來了啊那不要五年弄三年為什麼不一次性直接 |
transcript.whisperx[436].start |
12357.551 |
transcript.whisperx[436].end |
12361.893 |
transcript.whisperx[436].text |
財政部莊部長翠雲率所屬機關首長暨國營事業董事長、總經理 :一、邀請財政部莊部長翠雲率之二及第十二條條文修正草案 |
transcript.whisperx[437].start |
12381.075 |
transcript.whisperx[437].end |
12400.98 |
transcript.whisperx[437].text |
因為你的稅變來變去你如果當中降稅的直接延長多一點他比較好安排有利全世界資金集結在台灣那還有很多很多啊所以我覺得部長你的思維啊應該是站在高崗上 |
transcript.whisperx[438].start |
12402.179 |
transcript.whisperx[438].end |
12409.667 |
transcript.whisperx[438].text |
包括 all of the 8 major public stock banks. |
transcript.whisperx[439].start |
12409.667 |
transcript.whisperx[439].end |
12413.892 |
transcript.whisperx[439].text |
你覺得他們現在的營業狀況,他們的表現你滿意嗎? |
transcript.whisperx[440].start |
12413.892 |
transcript.whisperx[440].end |
12416.555 |
transcript.whisperx[440].text |
每一位都非常努力,而且表現也不錯。 |
transcript.whisperx[441].start |
12418.261 |
transcript.whisperx[441].end |
12439.603 |
transcript.whisperx[441].text |
對,你都覺得很好其實你應該把思維調整一下為什麼國內的前三大的銀行、金控公司他們的EPS每年可以達到大概10甚至以前還超過10請問巴拉公股銀行裡面表現最好是哪一家 |
transcript.whisperx[442].start |
12441.704 |
transcript.whisperx[442].end |
12470.598 |
transcript.whisperx[442].text |
我們的兆豐也不錯我們的第一也很好兆豐預估今年的EPS有多少去年好了去年來請上好了董事長部長有的思維調整一下因為公股銀行他們薪水跟其他民間比起來差太多了好的人才都不留在公股銀行啦 |
transcript.whisperx[443].start |
12471.65 |
transcript.whisperx[443].end |
12496.24 |
transcript.whisperx[443].text |
董事長你好請問去年你說那個表現最好兆豐去年的EPS是多少我們實際上配的那個大概是一塊半左右現金鼓勵好那去年的話表現最好大概富邦吧富邦金控都一樣跟你們做同樣的業務差不多啦都銀行那去年的富邦他的表現怎麼樣 |
transcript.whisperx[444].start |
12498.598 |
transcript.whisperx[444].end |
12526.517 |
transcript.whisperx[444].text |
負幫配多少我不曉得不過我跟報告委員是這樣子啦雖然說我們都是銀行都是金控但是我們的業務上面還是有很大的差別比如說我們是以銀行為主我們金控是以銀行為主那他們呢大概都是以證券啊以授權為主他們相對銀行的規模並沒有像我們的銀行那麼大好你要講這個講到授權台銀也有授權公司啊那表現怎麼樣證券南加公股沒有證券的 |
transcript.whisperx[445].start |
12529.79 |
transcript.whisperx[445].end |
12536.645 |
transcript.whisperx[445].text |
何庫也有證券啊?台銀也有證券啊?那表現的話跟富邦比起來差多少? |
transcript.whisperx[446].start |
12538.693 |
transcript.whisperx[446].end |
12565.106 |
transcript.whisperx[446].text |
說真的,如果是以關股的證券公司來講還是以兆豐最大對,你們兆豐有證券那你為什麼不立志贏過富邦?不立志贏過元大?當然那是我們的方向,我們努力的方向對,要努力啦,因為你是第一名我也不忍再講太多啦但是有一點要讓部長知道比如說董事長的薪水你們在這個位置一年大概年薪有多少? |
transcript.whisperx[447].start |
12566.96 |
transcript.whisperx[447].end |
12587.755 |
transcript.whisperx[447].text |
以你做例子來說的話應該不到一千吧多少不到一千萬那一千你不到一千萬跟民營銀行差很多啦都兩三千萬了那我為什麼要待在公股銀行是不是所以部長這個是多年的結構問題喔 |
transcript.whisperx[448].start |
12589.437 |
transcript.whisperx[448].end |
12608.875 |
transcript.whisperx[448].text |
也請部長好好思考一下重金之下必有永福讓整個公股銀行的績效好好思考怎麼樣來提升你多賺一點然後給民眾的給所有的二十二縣市的不要再支出避季了 |
transcript.whisperx[449].start |
12609.727 |
transcript.whisperx[449].end |
12629.925 |
transcript.whisperx[449].text |
要就給他大方一點,做一個快樂的財神爺好不好?是,中央也要維持一定的財政韌性是,還是要…所以請我們幫你想辦法好,謝謝委員,謝謝委員指教,謝謝好,接著我們請邱志偉委員花言五分鐘 |
transcript.whisperx[450].start |
12647.062 |
transcript.whisperx[450].end |
12668.208 |
transcript.whisperx[450].text |
好 謝主席 邀請金管會副主委金管會副主委委員好 今天審證券交易稅條例第二條及第十二條 我也有提案 我提案怎麼沒寫在你的意見 |
transcript.whisperx[451].start |
12670.902 |
transcript.whisperx[451].end |
12695.749 |
transcript.whisperx[451].text |
我有提案啦我的提案你的意義是怎麼樣遵照十二條那邊我們遵照那只是一個通知啊那個地方沒有我的名字沒有我的名字你到底有我的提案你知道嗎我知道我知道沒有我的名字勒還有做事情也比較認真勒十二條的那個他通知啊或這些你知道我的提案的內容嗎還有另外一條還有另外一條這個 |
transcript.whisperx[452].start |
12700.044 |
transcript.whisperx[452].end |
12725.069 |
transcript.whisperx[452].text |
儘管會做事要精確啊連這個審議的法案每一個人的委員的提案你都有表示意見啊我的提案你就沒有任何意見沒有任何意見有可能是反對捏好啦我們再找一下啦再找一次時間那個請回去再改善改進一下連這個精確性都沒有辦法做到來請那個財政部莊部長 |
transcript.whisperx[453].start |
12729.485 |
transcript.whisperx[453].end |
12740.815 |
transcript.whisperx[453].text |
時間暫停一下時間暫停一下喔部長這個國庫的業務裡面啊這個112年你們稅率稅數剩餘是2796億啊預估113年度呢3年是不是預估啦 |
transcript.whisperx[454].start |
12756.242 |
transcript.whisperx[454].end |
12782.444 |
transcript.whisperx[454].text |
一百一十三年第一個我們的稅收的部分是一定可以達成我也不會去借錢稅數的剩餘是多少那還沒有結束啊大概啦大概喔大概要看稅路要怎麼支出啊我想這個部分這個數字還沒有辦法跟委員報告好啦就是說因為支出的部分在總統這邊你從2016連續七年都是剩餘嘛對不對是的 是的那代表說政府會賺錢還是會省錢 |
transcript.whisperx[455].start |
12786.868 |
transcript.whisperx[455].end |
12811.258 |
transcript.whisperx[455].text |
第一個我們的稅客我們的稅入好然後支出的部分大家也都尊潔支出那這樣的話就會有剩餘是那我就要問你另外一個問題產商條例是經部要修法11條產商條例的內容是什麼它針對一些這個產業包括這些人工智慧啦或者是檢驗檢探相關的產業 |
transcript.whisperx[456].start |
12813.779 |
transcript.whisperx[456].end |
12839.424 |
transcript.whisperx[456].text |
做一些調整那這部分財政部的立場財政部的部分跟經濟部都已經在這個之前都有過非常密切的調整是支持而且目前來說經濟部也已經預告了是支持的現在我們都討論過的另外他有提到說這個提供中小企業第一例優惠的融資貸款畫面 |
transcript.whisperx[457].start |
12844.297 |
transcript.whisperx[457].end |
12868.789 |
transcript.whisperx[457].text |
提供中小企業低利優惠融資貸款我看你們報告裡面你們對中小微企業的復甦扔緩資金需求很多那你們這個部分又增加到九千億這部分有沒有提供給這些微中小型企業更優惠的利率 |
transcript.whisperx[458].start |
12870.379 |
transcript.whisperx[458].end |
12887.709 |
transcript.whisperx[458].text |
報告對我們是有一個方案就是中小企業那個那個榮正新的一個優惠方案那由我們的公股行戶來做承作那在利率的部分他們也會給你協助對利率比一般的貸款更為優惠嗎應該是我想他們都在對 |
transcript.whisperx[459].start |
12888.749 |
transcript.whisperx[459].end |
12892.15 |
transcript.whisperx[459].text |
現在產業的這個調整在中國的企業慢慢這個到東南亞到其他地方去那這個國有銀行現在在這個中國的分行件數大概有幾件25件 |
transcript.whisperx[460].start |
12919.882 |
transcript.whisperx[460].end |
12921.043 |
transcript.whisperx[460].text |
最多分行是哪一家銀行? |
transcript.whisperx[461].start |
12932.472 |
transcript.whisperx[461].end |
12948.521 |
transcript.whisperx[461].text |
我問這個問題是說希望你們調整一下這個分行是不是有設立的必要性跟普選程度的這個影響評估這個部分當然是要考慮而且在屬境外設分行也要經過金管會的同意啊該撤的時候就在撤是 |
transcript.whisperx[462].start |
12949.502 |
transcript.whisperx[462].end |
12978.053 |
transcript.whisperx[462].text |
所以不能像過去一樣這個渔沃峰在這個西晉的時候這個設立分行那你現在這個政策轉移的時候中國變成高度這個震驚風險的國家這個時候我們的國有銀行是設立分行它的必要性跟這個未來怎麼去處理啊當然這個部分一定要審慎的部分做風險的控管謝謝委員的提醒國有地它禁止出售對不對大面積國有地禁止出售大面積的不再出售 |
transcript.whisperx[463].start |
12978.973 |
transcript.whisperx[463].end |
13004.898 |
transcript.whisperx[463].text |
市有地不算是國有地,對不對?市有地它是可以公開去標授,對不對?市有地他們有他們的自治條例去處理,然後還有土地法國有地廣義來說市有地也算是國有地嘛那你可以設定一些標準,你現在有收受這個土地供應的這個因素啊 |
transcript.whisperx[464].start |
13005.638 |
transcript.whisperx[464].end |
13006.459 |
transcript.whisperx[464].text |
財政部有相關的作法 |
transcript.whisperx[465].start |
13035.4 |
transcript.whisperx[465].end |
13060.112 |
transcript.whisperx[465].text |
根委員報告你指的用設定地上的權還是用什麼方式或是在一段時間禁止出售事由土地的處理第一個是屬於自治事項第二個土地政策的主管機關在內政部財政部沒有這個權責去約束縣市政府處理它的縣市有的財產這個部分根委員就說明是是內政部主管是那最後一個問題金融兵推 |
transcript.whisperx[466].start |
13061.552 |
transcript.whisperx[466].end |
13074.083 |
transcript.whisperx[466].text |
金融兵推是您主持的嗎?不是不是不是不是金融兵推不是我們主持的金融兵推是年度的這個例行性的計畫還是因應特殊事件而不定期的計畫?跟委員報告 |
transcript.whisperx[467].start |
13077.085 |
transcript.whisperx[467].end |
13099.415 |
transcript.whisperx[467].text |
因為有一個全民防衛動員準備法的規定那裡面我們有一些定期要做的一些事項那財政部的部分是財力的部分那這個部分都是一個例行性的部分那有關金融兵推的部分我們是配合國防部的一個整體規劃來做它包含有關的一些事包含外匯金融處置這個是涉及到央行跟金管會等等 |
transcript.whisperx[468].start |
13100.555 |
transcript.whisperx[468].end |
13122.716 |
transcript.whisperx[468].text |
是年度性的計畫還是因應特定事件?年度性的會做一次吧如果特殊事件發生或因應特殊事件可能會未來預期可能一些特殊事件發生你們有沒有相關的專案兵推?這個部分是由國防部來規劃的是國防部來規劃?對對對對謝謝謝謝委員是謝謝 |
transcript.whisperx[469].start |
13127.025 |
transcript.whisperx[469].end |
13151.954 |
transcript.whisperx[469].text |
好,謝謝邱志偉委員那接著我們請陳佩儀委員花言謝謝主席那有請財政部經管會還有法務部,謝謝好,財政部經管會還有法務部代表委員好是,部長好,午安 |
transcript.whisperx[470].start |
13154.166 |
transcript.whisperx[470].end |
13178.6 |
transcript.whisperx[470].text |
我時間有限但是部長我想要快速跟您討論關於兒少在你們的相關的主管業務當中到底能夠為我們台灣的兒少做些什麼事情來下一頁這個是相關的詐騙的廣告然後其實我們刑事警察局已經開始有非常多的作為整個行政院也啟動非常多詐騙的業務我想部長您非常清楚那我們來往下一頁 |
transcript.whisperx[471].start |
13179.5 |
transcript.whisperx[471].end |
13197.595 |
transcript.whisperx[471].text |
那做了這麼多詐騙的事情我要談的是其實我們發現很多的個案或者是很多的陳情人我們發現是相關的金融素養的不足我們來看下一頁可是我知道其實大家都做了非常多的事情金管會今年在五月公佈這個普惠金融的衡量指標 |
transcript.whisperx[472].start |
13198.215 |
transcript.whisperx[472].end |
13214.746 |
transcript.whisperx[472].text |
我們台灣的表現數字其實非常好不管是ATM或者是我們擁有銀行帳戶或是使用電子化支付也就是說連我自己都覺得我身邊好像每一個人都在這個完整的金融體系底下有被照顧到可是如果離開都市地區我們來看一下 |
transcript.whisperx[473].start |
13215.626 |
transcript.whisperx[473].end |
13232.928 |
transcript.whisperx[473].text |
那我知道你們其實有相關你們去做相關的研究你們到國際上去參加相關的會議下一頁那在會議當中其實你們自己也提出或是在國際的很多研討會上提出我們有這麼完整的金融體系跟金融服務但也可能相對的風險就高以上這個論述部長您認同嗎? |
transcript.whisperx[474].start |
13238.18 |
transcript.whisperx[474].end |
13265.3 |
transcript.whisperx[474].text |
但是當風險高的時候我們要回過來看人民的素養跟知識起點在哪裡我們做所有的詐騙要從源頭開始嘛 對不對不然所有的第一線的行員連我自己要去領錢他都要問我很久那很久到我都感動我都覺得他很怕我被詐騙這樣可能我年紀看起來有點大但沒關係我覺得這都是好事但是讓我們第一線的工作人員我們回過來看教育面向我們可以做什麼來看下一頁 |
transcript.whisperx[475].start |
13266.536 |
transcript.whisperx[475].end |
13287.297 |
transcript.whisperx[475].text |
其實我知道公股銀行真的有非常努力在做提升金融素養的事情我不會說沒有包含你們走入社區配合金管會辦金融知識宣導活動辦了產學合作做了弱勢賠利你們甚至還辦了非常多說明會跟講座也就是大家都知道各方各面要提升民眾的素養跟知識下一頁 |
transcript.whisperx[476].start |
13288.038 |
transcript.whisperx[476].end |
13303.266 |
transcript.whisperx[476].text |
好,那你們還做了更深入喔跟大專院校合作下令您讓大專院校學生去參觀銀行金管會還有做Podcast很好跟上時代還做了演員會做了論壇做了各式各樣的廣宣部長如果從我剛剛一路講下來你覺得我們少了什麼 |
transcript.whisperx[477].start |
13306.311 |
transcript.whisperx[477].end |
13310.012 |
transcript.whisperx[477].text |
謝謝委員把他整理得這麼完整,也就是委員一開始就您把他整會整的,然後我想您剛剛也提到一開始就是說兒少的部分,也就是說孩子他還在至少小學生小學、國中、高中就讓他要有一些觀念,那這樣他可以更清楚 |
transcript.whisperx[478].start |
13325.596 |
transcript.whisperx[478].end |
13352.079 |
transcript.whisperx[478].text |
對,然後我覺得這是可以努力的方向好,那我們來看一下如果部長你也認同我說法是對為什麼要把法務部的同仁請出來呢我跟部長分享也跟副主委分享一個困境好,我們下一頁我說往下扎根的意思就是如同部長您說的小學生、國中生、高中生他們在不同的學習階段其實都需要累積不同的金融素養跟金融知識不管他未來有可能會因為沒有這些知識不小心變成詐騙的幫手、車手 |
transcript.whisperx[479].start |
13353.76 |
transcript.whisperx[479].end |
13381.51 |
transcript.whisperx[479].text |
或者是他自己就變成受害人我想部長跟副主委你一定認同其實我們可以看得出來過去聯邦銀行、台北富邦銀行、中國信託、玉山銀行還有國泰、世華、點點點、非常多銀行他們都會辦暑假、寒假的活動但是很多都是親子勿動然後要收費我知道在公股銀行有但是相對少例如說我們找出來兆豐銀行、華南銀行、和庫都有辦過類似的活動彰銀也有主推一些課程 |
transcript.whisperx[480].start |
13382.33 |
transcript.whisperx[480].end |
13400.698 |
transcript.whisperx[480].text |
那我請法務部出來我也想要請法務部的人回答我我們在收集到非常多跟詐騙有關跟金融犯罪有關的青少年個案當中我們常常可以在後續的收案當中發現他們是基本的知識不足導致於他們不小心成為犯罪的一份子對不對法務部這邊可不可以簡單回應一下 |
transcript.whisperx[481].start |
13404.88 |
transcript.whisperx[481].end |
13423.852 |
transcript.whisperx[481].text |
抱歉,報告委員,那個具體打詐的業務,那個我們法務部最近是有...沒有沒有,我沒有要問你打詐,因為我時間有限,我要尊重主席,我要準時下來但是我要說,是不是我們在收容很多犯罪的個案當中都發現,如果基本知識是足的,素養是足的,他們比較不容易走入這個犯罪的行列,我這個論述可以成立嗎? |
transcript.whisperx[482].start |
13429.176 |
transcript.whisperx[482].end |
13438.564 |
transcript.whisperx[482].text |
所以我們可不可以積極地要求公股銀行必須承擔其金融素養普惠金融落實於兒少的政策 |
transcript.whisperx[483].start |
13439.665 |
transcript.whisperx[483].end |
13464.059 |
transcript.whisperx[483].text |
不管是辦剛剛說的下令營、課程我認為必須要更積極擔負起這個社會責任部長你覺得呢?我覺得委員這個方向很好第一個就是說第一個避免自己被騙第二個不小心落入變成犯罪的一個幫手我想這個部分是有確實有必要尤其青少年現在接觸的因為手機很方便嘛接觸訊息很多但是有的時候正確或是不正確有的時候 |
transcript.whisperx[484].start |
13464.659 |
transcript.whisperx[484].end |
13484.314 |
transcript.whisperx[484].text |
不知道分辨,我覺得這個部分是可以去加強的。主席,不好意思,再幾分鐘。好,那這個沒有錯,那我們還接觸到有非常多的民間團體他們是積極在協助而哨的。不管是從社會福利的角度,從家庭安全的角度,從課業輔導的角度可是從來可能在金管會的角度或是在財政部的角度,在公股銀行的角度 |
transcript.whisperx[485].start |
13484.654 |
transcript.whisperx[485].end |
13504.117 |
transcript.whisperx[485].text |
都不認為自己在這個財政主管機關是有需要跟這些民間團體接觸的所以我剛剛講不管是進入社區辦課程、辦活動更積極的跟當地的兒少團體或相關的組織甚至是跟學校主動發起深入的夏令營也好、課程也好當然園遊會是一個很簡單的活動可是我也要說啦 |
transcript.whisperx[486].start |
13504.497 |
transcript.whisperx[486].end |
13530.758 |
transcript.whisperx[486].text |
許多委員會可能就留於形式大家玩一玩可能就忘記但如果我們又可以更積極規劃夏令營、冬令營然後深度的課程讓孩子們及早學習金融素養那讓普惠金融做得更好我相信我們台灣的詐騙事情絕對會減少得更多我們有沒有機會在三個月內拜託相關部會研究這個事情然後我們積極地來推動那當然你們得去找教育部討論這個我相信是我們後續也會協助因為我在教育文化委員會 |
transcript.whisperx[487].start |
13532.534 |
transcript.whisperx[487].end |
13533.214 |
transcript.whisperx[487].text |
主席,快幾分鐘,36秒。好。 |
transcript.whisperx[488].start |
13555.35 |
transcript.whisperx[488].end |
13580.572 |
transcript.whisperx[488].text |
在董事長走來的路上我就先說好了不要耽誤後面委員的時間其實我在立法院一直倡議有一個事情非常的重要董事長你也是母親我相信你一定可以用母親的角度來看待我們台灣更多的政策是以兒少為主體為服務的主體為思考的主體我相信101在發揮企業責任身上應該也可以從這個角度試著來做一些發想 |
transcript.whisperx[489].start |
13581.172 |
transcript.whisperx[489].end |
13595.438 |
transcript.whisperx[489].text |
是委員跟您報告一下其實我們有在做很多的環境教育的部分那我們跟附近的國小也有合作然後會帶著這些小朋友先來認識整個環境整個對於環保的議題對於綠建築的議題還有碳排放這些議題 |
transcript.whisperx[490].start |
13600.78 |
transcript.whisperx[490].end |
13625.042 |
transcript.whisperx[490].text |
這些聽起來真的都很棒但是董事長我想幫更多的孩子許願周邊的社區的孩子我相信他們對於101絕對不陌生可是有沒有更多不在這個社區或是偏鄉那我相信更多以兒童為主體我們希望後續可以看到101有更多的作為我們在兒少服務方面主席卡起來好那我們辦公室也會再積極跟各部會討論謝謝主席不好意思耽誤時間謝謝好謝謝裴儀委員接著請陳益臻委員花言 |
transcript.whisperx[491].start |
13633.848 |
transcript.whisperx[491].end |
13634.109 |
transcript.whisperx[491].text |
財政部、國庫署、官務署 |
transcript.whisperx[492].start |
13641.889 |
transcript.whisperx[492].end |
13665.242 |
transcript.whisperx[492].text |
還有哪一個單位?管務署部長,夏可欣本期開始擔任召委我知道你公務繁忙但是我們就開始排財化法的修正案本期尊重行政院及貴部可能沒有辦法或是不願意或是覺得沒有必要提出院版的財化法的 |
transcript.whisperx[493].start |
13665.842 |
transcript.whisperx[493].end |
13687.71 |
transcript.whisperx[493].text |
修正草案這個本期表示尊重不過因為我們這裡是立法院也不是行政院立法局沒有貴院沒有大院的版本沒有這個貴部的版本我們一樣會進行修法這個應該要有一點心理準備對於這個二十幾位委員所提出的這個版本請你們也是仔細的大概要認真的研究一下那我想請問這個國庫署 |
transcript.whisperx[494].start |
13689.651 |
transcript.whisperx[494].end |
13690.672 |
transcript.whisperx[494].text |
國組推出優質認證九類產業發展計畫109年到112年、112年到114年 |
transcript.whisperx[495].start |
13703.834 |
transcript.whisperx[495].end |
13709.059 |
transcript.whisperx[495].text |
優良酒類認證標誌有三個目標提高優質酒類認證的標誌及認證酒類知名度第二個提升國產酒類、國產酒品的國際競爭力第三個優化中小型業者的營運體質這是你們三大目標對吧是是嗎是有答到嗎 |
transcript.whisperx[496].start |
13730.143 |
transcript.whisperx[496].end |
13755.316 |
transcript.whisperx[496].text |
我們這幾年都有在協助我們辦了很多活動都有在協助我們優質酒類認證那你覺得成果怎麼樣在協助國產酒品的產業發展怎麼樣呢在國內啊或者外銷在國內的部分我們今年就有結合一些餐飲業我不是要知道內容我是要知道是結果 |
transcript.whisperx[497].start |
13756.415 |
transcript.whisperx[497].end |
13767.341 |
transcript.whisperx[497].text |
結果的部分越來越好嗎就是主要就是讓各界知道我們優質酒品在整個哪些酒品在你們推動下我們國產酒類出口的這個成效越來越好嗎 |
transcript.whisperx[498].start |
13768.626 |
transcript.whisperx[498].end |
13771.769 |
transcript.whisperx[498].text |
在你們努力的推動之下國餐局的外銷數量不增反減從101年1280萬公升108年到現在 |
transcript.whisperx[499].start |
13786.542 |
transcript.whisperx[499].end |
13807.219 |
transcript.whisperx[499].text |
一百一十一年,這是到一百一十年的整個經濟部的資料,經濟部就有資料不銷繁檢,現在剩下一千一百萬公升國產酒的國內市場佔有率年年下滑,從六十點六這樣像溜滑梯一樣五十八點一、五十三點一、五十一點八到四十八點五,到一百一十二年,這是去年 |
transcript.whisperx[500].start |
13807.899 |
transcript.whisperx[500].end |
13819.049 |
transcript.whisperx[500].text |
所以在你們的努力推廣之下所以你們努力的幫助國產酒做很多計畫但是你們這個認證方案在努力之下 |
transcript.whisperx[501].start |
13821.874 |
transcript.whisperx[501].end |
13842.749 |
transcript.whisperx[501].text |
國產酒的銷路越來越差在國內市場也下降在外銷市場也下降是在外銷的部分因為其實可能受限於一些區域環境的變化所以什麼叫區域環境區域環境是國際市場共同有的比如說我們有一些是像有一些是銷到大陸去那大陸那邊目前就有一些 |
transcript.whisperx[502].start |
13843.449 |
transcript.whisperx[502].end |
13870.006 |
transcript.whisperx[502].text |
大陸市場整體下降大陸的酒廠也是下降啊一樣啊但是我們的比例在國內部分我們是那外國進來為什麼我們的國產酒市佔率也越來越低呢你了解嗎你說外銷整個區域變化好那國內市場人家進來我們這裡我們的佔比也越來越低啊所以說不管在國內或者在國外我們都一直在退步啊這個例子很明顯啊這個數據會說話 |
transcript.whisperx[503].start |
13873.391 |
transcript.whisperx[503].end |
13891.129 |
transcript.whisperx[503].text |
國工署要努力的輔導我們國內的中小企業這個廠商對於這個部分所以請你在一週內提出優質認證9類產業發展報告方案你的這個成效你要怎麼樣讓它更進步我們現在看到說是越來越好跟全世界比賽 |
transcript.whisperx[504].start |
13893.191 |
transcript.whisperx[504].end |
13907.639 |
transcript.whisperx[504].text |
有沒有問題啊?是,可以,謝謝看這個,然後你們對金酒公司的幫助也實在很少你這個特別看一下金酒公司是我們國內這個在酒品裡頭的製造商那每年我們上繳25到30億以上的菸酒稅這個應該數據沒有問題吧? |
transcript.whisperx[505].start |
13912.802 |
transcript.whisperx[505].end |
13932.757 |
transcript.whisperx[505].text |
我算了一下我們在國內的金酒公司在國內的白酒市場大概占到7乘5、7乘8所以我們繳的稅很多但是你們一年才我們這四年才給我們35萬的這個行銷這個發展的這個相關的這個幫助這占比也太低了吧以我們的貢獻度來講你們對我們的幫助也太少了吧 |
transcript.whisperx[506].start |
13934.132 |
transcript.whisperx[506].end |
13950.218 |
transcript.whisperx[506].text |
公務員報告這個是金酒公司他來申請也就是說他如果來申請你的意思是說金酒公司申請不夠就對了是不是?他們申請了7個場次然後就是說從過去到現在你意思是說金酒公司可以申請多一點你們會支持就對了是吧?我們會在我們的預算範圍內來處理 |
transcript.whisperx[507].start |
13951.878 |
transcript.whisperx[507].end |
13969.207 |
transcript.whisperx[507].text |
預算範圍內我們交25億到30億你給我們35萬這個有給跟沒給是不是也是差不多對我們的幫助實在是太小那你把這個寫進來如果是金九沒有申請我回去我當然會問金九公司未來可能委員也可以支持我們在這部分的補足預算我們請那個關務署這個 |
transcript.whisperx[508].start |
13973.154 |
transcript.whisperx[508].end |
13995.82 |
transcript.whisperx[508].text |
首長,部長您也聽一下,我看到這個國際上世界各國各地啊,我們看到去新加坡啊,去這個韓國啊,去哪裡?日本啊,我們先去日本嘛,我們看到各國有亞洲,這也是亞洲國家啊,美國也好,歐美啊,這個不管是車子,不管是進口車或是他們產製車,都非常的價錢比台灣便宜很多啊。 |
transcript.whisperx[509].start |
13997.199 |
transcript.whisperx[509].end |
14013.031 |
transcript.whisperx[509].text |
您們不覺得像以國內的這個以我們的國民來講房貸的壓力很大那買車子如果又造成一個很重大的壓力事實上也是增加人民的負擔啊我看了一下我們這個買車真的是萬萬歲啊應該要做一個本期做一個表你看進口車2000CC以下17.5%的關稅25%的貨物稅 |
transcript.whisperx[510].start |
14017.034 |
transcript.whisperx[510].end |
14027 |
transcript.whisperx[510].text |
五趴的營業稅加起來一台車兩千西西下要增五十四點二趴的稅兩千西西以上要增六十點四趴的稅好這是進口車國產車的部分呢兩千西西以下 |
transcript.whisperx[511].start |
14028.137 |
transcript.whisperx[511].end |
14052.293 |
transcript.whisperx[511].text |
一台車要課25%的貨物稅5%的營業稅等於是31.2%那國產車2000cc以上的30%的貨物稅5%的營業稅一台車要徵36.5%的稅等於是不管進口或國產車每一台車都至少要三成以上的稅負交給我們的國家我們國家需要這樣對付對我們的人民嗎當然署長你是關稅我先我請問那個部長這個買車萬萬稅這個部分 |
transcript.whisperx[512].start |
14056.89 |
transcript.whisperx[512].end |
14071.581 |
transcript.whisperx[512].text |
跟委員報告第一個關稅的部分關稅的部分我們是加入WTO的時候就有關稅減讓的承諾然後在10年內我們其實原來更高所以當時承諾就是17.5的關稅那是對外最低的承諾吧我不是很說最低嗎那貨物稅呢貨物稅的部分 |
transcript.whisperx[513].start |
14075.443 |
transcript.whisperx[513].end |
14081.385 |
transcript.whisperx[513].text |
為了讓我們的淨零減碳的一個政策目標所以我們對於電動車的電動車、貨物稅都是免徵那是鼓勵這個我支持這個部分我支持這個沒問題我沒有在問你電動車我支持這個部分 |
transcript.whisperx[514].start |
14093.229 |
transcript.whisperx[514].end |
14121.739 |
transcript.whisperx[514].text |
國安稅早年徵荒稅的目的是因為有點像是有點像奢侈稅嘛說這個比較特種的稅嘛說這個可能那時候早年這個那個開車可能是一個比較奢侈的事民國七十幾年金門開始有車我家金門開始有車是民國七十幾年啊金門還比較晚啊台灣當然比較早但是那時候車子比較少嘛現在車子是一個基本的交通工具啊尤其不要你不要說在台北市這種比較都會去像在比較不是都會去的地方沒有經營的地方很多家庭也都是需要車子嘛幾乎 |
transcript.whisperx[515].start |
14122.915 |
transcript.whisperx[515].end |
14151.924 |
transcript.whisperx[515].text |
我不敢說人人啦 但基本上每一家都是需要車子那給國人這麼高的這個關稅我先不跟你談關稅關稅涉及到國產跟進口這個我看那個車稅公會也有提到那貨物稅的部分呢 貨物稅不能減呢為什麼我們百姓要買車要買這麼貴比韓國、日本、新加坡還有那個美國啦 新加坡很貴一點韓國、日本 而新加坡收入高我們收入又沒有高人家很多我們要繳這麼 我們已經要百姓要承擔這麼重的這個房貸了還要承擔很重的車貸 |
transcript.whisperx[516].start |
14153.184 |
transcript.whisperx[516].end |
14177.221 |
transcript.whisperx[516].text |
這個不用改嗎?我想貨物稅的部分我們現在是引導消費者能夠往電動車的方式去採購。這個我也支持,電動車我也支持。那還沒有買電動車之前,現在如果還有其他車,我也支持電動車。這個是沒有違背的,沒有衝突的。那現在這個貨物稅的部分,讓老百姓可以買到便宜的車子不好嗎? |
transcript.whisperx[517].start |
14178.516 |
transcript.whisperx[517].end |
14194.842 |
transcript.whisperx[517].text |
有什麼困難?對你們稅稅影響很大嗎?我剛剛看別的網友寫貨稅,整個貨稅稅也不是說那麼那麼多,對你們稅稅影響很大嗎?車的部分影響這麼大嗎?你不能全免,你至少降嘛,這個有困難嗎? |
transcript.whisperx[518].start |
14196.207 |
transcript.whisperx[518].end |
14224.812 |
transcript.whisperx[518].text |
我想這個部分貨物稅整體應該要跟整個稅制來搞好你不要告訴我整體貨物稅我只告訴你車子的貨物稅我只請問你車子的貨物稅現在25嘛25的話可以降多少你們有沒有去研究過可以降多少25%你看2730%那國產車也要25跟30這個就算你不能全免也可以考慮降稅吧我想這個部分應該要整體來考量Jay哥你的考慮是什麼不能降的原因是什麼 |
transcript.whisperx[519].start |
14225.851 |
transcript.whisperx[519].end |
14242.37 |
transcript.whisperx[519].text |
不能這樣的原因你現在是覺得不能這樣嗎?我說可以考慮貨物稅的部分我們談過不是講全面跟整體的綠色能源綠色稅制會要做我一直跟你強調電動車那部分我完全支持你不用跟我談你告訴我說一般的車子 |
transcript.whisperx[520].start |
14243.746 |
transcript.whisperx[520].end |
14264.053 |
transcript.whisperx[520].text |
議員議員議員議員 |
transcript.whisperx[521].start |
14264.173 |
transcript.whisperx[521].end |
14265.474 |
transcript.whisperx[521].text |
提出書面報告是不是容許我們一個月內?一個月內是不是有點太久? |
transcript.whisperx[522].start |
14283.18 |
transcript.whisperx[522].end |
14306.042 |
transcript.whisperx[522].text |
沒關係齁,兩個禮拜可以吧,算數而已嘛兩個禮拜算一下,兩個禮拜提出來汽機車稅制檢討及改革方案書面報告我知道在這個部分其實不分藍綠的委員都有提出這個有關車價實在太高的問題我這個想法其實是想法很簡單如果你提出來以後你們堅決不改我們也不需要你們同意才需要改我們一樣會提案我也會請民進黨的委員一起來提案我想民眾也會支持這個車稅這個貨物稅降的這個 |
transcript.whisperx[523].start |
14308.404 |
transcript.whisperx[523].end |
14318.951 |
transcript.whisperx[523].text |
所以你們要往可以更改的方向去思考如果你一樣鐵板一塊對不起我們一樣做我們應該做的事情好謝謝委員謝謝部長好謝謝謝謝陳一貞委員接著我們請楊瓊英委員發言謝謝主席楊瓊英發言邀請部長跟金管會好部長跟金管會稱呼主委 |
transcript.whisperx[524].start |
14342.27 |
transcript.whisperx[524].end |
14368.88 |
transcript.whisperx[524].text |
委員好謝謝部長我們看到國內的這個投資詐騙的案件這麼多而且那成長是驚人那根據警方的統計數字裡頭來顯示去年的詐欺犯呢那翻身數是以投資詐欺是最多那佔所有的詐騙的是31.13比上年度是增加了5000多件這個還是險性喔 |
transcript.whisperx[525].start |
14371.661 |
transcript.whisperx[525].end |
14400.079 |
transcript.whisperx[525].text |
引信的還不知道多少所以它的成長幾乎是翻倍那麼其中最嚴肅的就是65歲以上因為投資詐騙受害的更是最多而且一直在累進增加在這樣子的情況之下在我們財政部你認為你有什麼因應的這個方案來防止這個試詐讓大家可以試詐具備有試詐防詐的這個能力 |
transcript.whisperx[526].start |
14401.158 |
transcript.whisperx[526].end |
14416.727 |
transcript.whisperx[526].text |
部長跟委員報告當然第一個我們會在我們的行員的部分增加關懷也就是對於這個年長者有時候做高額的匯款的事要多問一些讓他們知道這是現在就已經在做所以我們也有相當的一個成效攔阻成功的也蠻高的蠻高但是我們的數字是往上升所以要不要再精準方案策略 |
transcript.whisperx[527].start |
14429.774 |
transcript.whisperx[527].end |
14456.052 |
transcript.whisperx[527].text |
另外對於那些客戶在開戶的時候也要確實執行KYC也就是說對客戶因為避免這些詐騙的人開帳戶、開人頭戶所以這個部分也要特別注意這個除了注意以外我們有什麼應對因為本期要跟你討論的是如果這個帳號它已經有嫌疑你們能不能連線法務部這些司法檢調單位 |
transcript.whisperx[528].start |
14458.333 |
transcript.whisperx[528].end |
14484.344 |
transcript.whisperx[528].text |
對,因為有很多很明顯一看就知道是詐騙的這個人頭戶對,所以我們也會參加財經公司所建置的約定帳號的一個揮名單的通報也就是說在這個部分銀行之間都會有相關的對於這種揮名單比較有可疑的帳戶都會提早做一個警示對,揮名單我們要怎麼去預防因為預防重於治療所以這個課題我再給部長你再去精準方案 |
transcript.whisperx[529].start |
14485.104 |
transcript.whisperx[529].end |
14506.801 |
transcript.whisperx[529].text |
對,這一定要一直精進的一直精進,你把書面資料給本席因為我們一直精進,但是數字是一直增加我們也不願意只有一句話道高一尺,魔高一丈這個也是漏氣至極所以我們是政府我們更應該要去精準這個方案你把精準方案給本席好嗎好的,我們再提一個報告給你你多久可以給本席 |
transcript.whisperx[530].start |
14507.701 |
transcript.whisperx[530].end |
14511.884 |
transcript.whisperx[530].text |
我們是不是一個月內給我一個月給本席我們要讓他們試詐防詐好不好這個太恐怖了那接下來本席要請教金管會那部長你請回來虛擬通貨的商業同業公會他們成立 |
transcript.whisperx[531].start |
14523.67 |
transcript.whisperx[531].end |
14550.59 |
transcript.whisperx[531].text |
在這樣的情況之下虛擬資產保管也事半業務所以本席要請教你們參考了國際的經驗你也要提升了整個風險管理跟資訊的安全的標準這是最基本的我們也為了要跟世界接軌我們也必須要這麼做但是本席要請教虛擬資產的保管的主題是業務你預計要什麼時候會上路 |
transcript.whisperx[532].start |
14552.628 |
transcript.whisperx[532].end |
14572.303 |
transcript.whisperx[532].text |
是,那在這個部分的話這個事辦,那麼明年初就上路明年初上路,那據本席了解好像很多的這個銀行跟券商他不是很熱情的願意參與,有這回事嗎?有這回事嗎?因為你已經明年初了,現在十月了,有沒有把握?沒問題 |
transcript.whisperx[533].start |
14576.181 |
transcript.whisperx[533].end |
14588.454 |
transcript.whisperx[533].text |
其實我們已經有人洽 兩家嘛兩家他們已經願意開始做因為畢竟是一個新型的一個業務他們有時候比較沒有接觸過但是我們從頭示範開始就一個新型明年的話什麼時候會正式上路 |
transcript.whisperx[534].start |
14596.903 |
transcript.whisperx[534].end |
14609.55 |
transcript.whisperx[534].text |
其實我們今年第四季齁今年第四季的時候就是現在呢我們就會推出虛擬資產的一個主題業務示範對所以是說呢那我們在這個部分齁明年就是正式上路就是示範嘛什麼時候正式上路嘛 |
transcript.whisperx[535].start |
14610.686 |
transcript.whisperx[535].end |
14628.456 |
transcript.whisperx[535].text |
因為我們要看看業者在這示範的過程中因為我們是滾動式檢討就是我們要往前推因為畢竟在這個部分那你總是有一個KPI的指標跟目標跟軌道在那裡嘛本期再一次請教現在示範那什麼時候會正式你們的目標啦 |
transcript.whisperx[536].start |
14633.188 |
transcript.whisperx[536].end |
14650.139 |
transcript.whisperx[536].text |
其實我們的目標就是明年正式上路明年1月正式上路好 我們就朝這個目標你不要緊張我們就在聽你的政策然後我們會去追蹤接下來本期最後一個議題請教IMB的平台詐騙金管會鼓勵銀行跟P2P |
transcript.whisperx[537].start |
14654.542 |
transcript.whisperx[537].end |
14677.988 |
transcript.whisperx[537].text |
的這個平台業者去進行合作所以目前為止你們宣稱的五家合作銀行那麼在8月7號的時候監察院提出有四家是有狀況的沒有依照你們目前的這個指標流程所以本席要請教我們為了管控房子洗錢以及治安的風險你要 |
transcript.whisperx[538].start |
14680.109 |
transcript.whisperx[538].end |
14702.861 |
transcript.whisperx[538].text |
若實將P2P的這個業務納入銀行的內控那你目前也已經行文給銀行工會請他們請銀行來做,是不是啊?是那所以你們是不是有具體的指標跟SOP給他們因為你五家監察院就給你提出四家有狀況欸 |
transcript.whisperx[539].start |
14704.813 |
transcript.whisperx[539].end |
14729.673 |
transcript.whisperx[539].text |
怎麼會如此呢?請說明因為目前為止我們是透過銀行工會我們也想要來組成一個就是鼓勵他們成立一個所謂的工會但是因為他們P2P業者彼此之間的業務的關係或什麼東西目前為止這個工會籌組的自律現在還在進行當中就是因為在溝通平台根本還沒有辦法去溝通所以本席提出這個議題這個問題你一直 |
transcript.whisperx[540].start |
14733.916 |
transcript.whisperx[540].end |
14737.793 |
transcript.whisperx[540].text |
一道指令下去給沿南工會沿南工會要依據什麼? |
transcript.whisperx[541].start |
14738.942 |
transcript.whisperx[541].end |
14766.999 |
transcript.whisperx[541].text |
要依據什麼?所以本席具體建議你必須將具體的指引跟SOP你要給銀行公會這個是你金管會必須要去做嫁接橋樑的這個重點工作嘛 對不對是 那我們會再跟銀行公會持續保持聯繫你多久時間趕快跟他們去討論人家收到你一張文不知道怎麼做你多久時間你具體的SOP流程跟指令可以告訴本席 |
transcript.whisperx[542].start |
14768.1 |
transcript.whisperx[542].end |
14776.189 |
transcript.whisperx[542].text |
因為我們現在跟銀行公會那邊溝通是順暢但是P2P YES他們公會一直組起來當然啊所以你必須要連結得上才有結果啊你要不要去溝通 |
transcript.whisperx[543].start |
14781.238 |
transcript.whisperx[543].end |
14804.4 |
transcript.whisperx[543].text |
你督導單位啊那大批的平台怎麼跟你們去連結啊去討論啊對不對你趕快去做好不好你也要讓銀行公會銀行團他能夠有一個指標有一個SOP嘛對不對是不是你要不要去做會做多久時間會有一個方向出來告訴我們 |
transcript.whisperx[544].start |
14807.823 |
transcript.whisperx[544].end |
14809.303 |
transcript.whisperx[544].text |
蔡義儀委員沒到,我們接著請洪孟楷委員執行花言 |
transcript.whisperx[545].start |
14842.816 |
transcript.whisperx[545].end |
14845.58 |
transcript.whisperx[545].text |
主席謝謝麻煩請我們莊部長好我們請莊部長 |
transcript.whisperx[546].start |
14853.083 |
transcript.whisperx[546].end |
14878.439 |
transcript.whisperx[546].text |
委員好 莊部長好時間有限喔直接切入重點當然很多的委員都一直很關心在這個會期要討論財務收支劃分法那卓龍泰院長昨天在質詢的時候居然講是說現行的版本就是最棒的版本換言之如果說假設我們接下來進入到實質的這個竹條審查的部分的話財政部這邊也不會提出任何對應修改版本是不是這樣 |
transcript.whisperx[547].start |
14880.905 |
transcript.whisperx[547].end |
14903.75 |
transcript.whisperx[547].text |
跟委員報告財化法這個事情25年沒有修正您就知道它的一個困難度在這邊那卓院長意思就是說如果沒有討論出一個第一個大家有共識而且是一個非常完善的一個版本的話那以現行的版本來做執行以現行的法條來做執行第一我們透過財化法然後統籌分配稅款一般性補助款 |
transcript.whisperx[548].start |
14904.25 |
transcript.whisperx[548].end |
14926.378 |
transcript.whisperx[548].text |
還有計劃型的補助館來推動第一個挹注地方的財政同時也讓重大建設能夠在跨區域的來做推動我想這個部分主要是這樣子這大家都知道啊現行法令不就這樣做但是重點在於是說就是沒有做到嘛所以才會25年來沒有修正來部長我先請教左榮泰院長講是說現行的版本是最棒的版本你認同嗎 |
transcript.whisperx[549].start |
14928.975 |
transcript.whisperx[549].end |
14936.4 |
transcript.whisperx[549].text |
鐵板一塊都不動了現行的版本最棒版本它最高級喔我們學英文知道嘛比較級最高級最高級代表就是 |
transcript.whisperx[550].start |
14937.796 |
transcript.whisperx[550].end |
14958.997 |
transcript.whisperx[550].text |
沒有其他比它更高了你認同這句話嗎第一個在沒有更完善的版本提出之前現行的版本在行政院在推動上是最有把握的我們現在就是這也是過去到現在委員為什麼有那麼多的版本以及我們不管是黨團不管是委員版本就是認為是說希望能夠尋求找出一個更好的版本嗎 |
transcript.whisperx[551].start |
14961.688 |
transcript.whisperx[551].end |
14986.895 |
transcript.whisperx[551].text |
所以現在部長所以兩個部分第一看起來你是不認同卓院長這句話我沒有不認同啊那你認同第一個我跟委員剛剛報告過就是說在沒有更完善更好合理的版本我們現在就是要找出更好更完善嘛過去25年您剛也提到過去25年有多少民意代表政治人物或是政黨領袖有提出要修財化法 |
transcript.whisperx[552].start |
14988.325 |
transcript.whisperx[552].end |
15010.422 |
transcript.whisperx[552].text |
你知道25年五次的時候就已經討論過非常多但是為什麼都沒有能夠修法完成包括當時時任的台南市長賴清德現在的賴總統2012年他講說不要從台北看天下不要獨厚台北各縣市就像嗷嗷待哺的媽媽嗷嗷待哺的嬰兒媽媽看著嗷嗷待哺的嬰兒然後要給他足夠的養分 |
transcript.whisperx[553].start |
15016.738 |
transcript.whisperx[553].end |
15023.029 |
transcript.whisperx[553].text |
2017年18年賴清德行政院長也說要修財化法那到現在勒? |
transcript.whisperx[554].start |
15027.986 |
transcript.whisperx[554].end |
15045.757 |
transcript.whisperx[554].text |
部長我現在只是比較明確的確定就是說我們現在因為各黨團也都針對說實務的狀況以及縣市來開公聽會因為我們的召委員很負責任嘛開了兩次公聽會嘛那各縣市的意見我們也聽取到了所以說我相信也會有在精進跟討論空間不是鐵板一塊 |
transcript.whisperx[555].start |
15046.678 |
transcript.whisperx[555].end |
15067.629 |
transcript.whisperx[555].text |
那一樣的道理現在鐵板一塊是誰是財政部耶是行政院耶因為有黨團的版本有委員的版本但是至始至終千呼萬喚使不出來就是財政院就是行政院的版本所以我們現在想要問的是當接下來進入到竹條審查才化法修法的時候行政院會不會有版本 |
transcript.whisperx[556].start |
15070.606 |
transcript.whisperx[556].end |
15096.817 |
transcript.whisperx[556].text |
財政部其實也一直在找第一個收集地方政府的意見我們也開會啊所以不是說只有您在公聽會的時候也聽過大家的意見是甚至專家學者的意見第一個大家的爭取的指標是不一樣的因為針對各自有利的對不對那第二個部分就是說你要大量的中央釋出裁員的話事權要不要重新劃分這個東西事實上是牽涉的層面是很廣的 |
transcript.whisperx[557].start |
15098.22 |
transcript.whisperx[557].end |
15124.469 |
transcript.whisperx[557].text |
部長,就是因為簽這個審券廣,你一直講,我想說成功的人找方法,失敗的人找藉口啊你一直在講一堆藉口,我們也知道這些問題啊,你講的我不會不知道本席身為區域的民意代表,我很清楚就像我們一直講到是說六都裡面新北市,我們就很委屈啊如果說這要講六都來講,財化法的這個分配稅款 |
transcript.whisperx[558].start |
15125.805 |
transcript.whisperx[558].end |
15141.38 |
transcript.whisperx[558].text |
新北市你沒有說是最後一名可是如果說除以400萬的人口除以我們的土地面積我們真的是最後啊我們真的是名落孫山啊那一樣的道理我們也沒有說新北市一定就是要多我們只要求公平 |
transcript.whisperx[559].start |
15142.381 |
transcript.whisperx[559].end |
15169.398 |
transcript.whisperx[559].text |
那一樣嘛拉回來本期現在只要想講的這是一個觀念問題我想今天那麼多我們的金融相關的負責人在這邊要看的是部長的態度啊部長有沒有肩膀有沒有態度就是說當我們現在一直講是說問題在這邊可是我們真的要面對了25年沒有修了大家也認為是說與時近近甚至財政部講是說我們要討論一個符合時宜可長可久的版本 |
transcript.whisperx[560].start |
15170.814 |
transcript.whisperx[560].end |
15195.113 |
transcript.whisperx[560].text |
那沒有最好只有更好啊那在沒有最好只有更好的情況下我們還是醜媳婦要見公婆啊當我們討論到財化法的修法的時候財政部到底拿不拿得出版本我們現在不是真的開會已經討論了嗎8月9月都在討論啊所以當委員會就可能陳玉珍召委或是我們另外召委排修法的時候財政部一定會有版本出來一起討論 |
transcript.whisperx[561].start |
15201.282 |
transcript.whisperx[561].end |
15219.747 |
transcript.whisperx[561].text |
財政部在下個禮拜不會有版本啊因為我們已經告訴為什麼會沒有版本的原因我們的報告也已經提給財委會了我們的報告的分析報告非常清楚啊部長,如果說是這樣的態度的話那我就覺得是說你過去這25年白混了 |
transcript.whisperx[562].start |
15221.071 |
transcript.whisperx[562].end |
15226.813 |
transcript.whisperx[562].text |
賴清德總統2017年、2018年當任行政院長的時候信誓旦旦說要修法白混了說實在話這還要解釋是不是部長 |
transcript.whisperx[563].start |
15241.017 |
transcript.whisperx[563].end |
15265.317 |
transcript.whisperx[563].text |
身在其位謀其政為什麼今天我會特別我跟你沒有任何的私人恩怨啊但是因為你今天是財政部長所以我當然會尖銳的問你就是因為財政部長在這一刻你就要負起相關的責任25年來沒有還是你的想法就是說反正我不知道我的任期可以做多久我就拖過啦換言等我安全下狀的時候這一個燙手山芋留給下一個財政部長 |
transcript.whisperx[564].start |
15266.514 |
transcript.whisperx[564].end |
15288.702 |
transcript.whisperx[564].text |
跟委員報告負責任的話就是這樣的做法嗎因為提出好的版本才是負責任的做法所以我們就是因為提出好的版本才是所以現在我們才在講說你有沒有版本嘛就是現在的法令已經不合時宜了我們希望能夠有一個符合時宜可長可久的版本所以你們要拿出辦法如果拿不出辦法就變成是我們有我們委員其他的版本 |
transcript.whisperx[565].start |
15289.983 |
transcript.whisperx[565].end |
15312.117 |
transcript.whisperx[565].text |
財政部你就是一昧的阻擋你就是不想進步不想改革那沒有問題啊就讓國人看吧我們一直都在做是謝謝委員是好謝謝謝謝孟凱那接著我們請那個鄭天才鄭天才鄭天才委員那還有下去是張家俊張家俊張家俊委員接著 |
transcript.whisperx[566].start |
15313.598 |
transcript.whisperx[566].end |
15327.652 |
transcript.whisperx[566].text |
政政權委員、政政權委員、政政權委員不在高軍樹梅、高軍樹梅、高軍樹梅委員不在林楚英、林楚英、林楚英委員不在接著我們請吳立法委員質詢謝謝主席、有請部長 |
transcript.whisperx[567].start |
15342.423 |
transcript.whisperx[567].end |
15348.679 |
transcript.whisperx[567].text |
委員好部長好我們有看到行政院已經是第三次提案延長這個當沖降稅 |
transcript.whisperx[568].start |
15351.85 |
transcript.whisperx[568].end |
15371.89 |
transcript.whisperx[568].text |
我們也希望這樣的一個延長透過單日當沖金量的提高帶動台股單日的成交量實施以來我也很同意因為我們確實看到是有幫助的所以我個人也有提案把當沖降稅的措施延長三年 |
transcript.whisperx[569].start |
15374.052 |
transcript.whisperx[569].end |
15396.825 |
transcript.whisperx[569].text |
可是我這個地方就是想要提醒一下因為這個再延長一直延長畢竟它就是一個特殊的手段我們當然都知道還是要回歸到正常的市場運作所以我們也有看到報導有去指出一些現象雖然確實有成長但是到底成長了誰 |
transcript.whisperx[570].start |
15398.386 |
transcript.whisperx[570].end |
15420.355 |
transcript.whisperx[570].text |
我們看到這個表格裡面有提到外資法人去年的總損益194億可是我們來看本土的時候光是本土的法人他只有1.6億差很多更何況是本土的自然人他是負291.2億 |
transcript.whisperx[571].start |
15423.476 |
transcript.whisperx[571].end |
15441.463 |
transcript.whisperx[571].text |
所以這樣的一個分析讓我們覺得很憂心所以我們還是想說這個當沖降稅不單單是要提升交易量我們更希望的是提升股民跟國庫的經濟效益部長是這樣沒錯吧 |
transcript.whisperx[572].start |
15445.248 |
transcript.whisperx[572].end |
15455.139 |
transcript.whisperx[572].text |
所以我在這個地方就是希望說把握這個延長的三年如果真的延長三年的話那我請教一下部長要做什麼規劃能夠達到我們的目標 |
transcript.whisperx[573].start |
15458.585 |
transcript.whisperx[573].end |
15472.92 |
transcript.whisperx[573].text |
跟委員報告證券市場也好資本市場的管理機關基本上是金管會所以對這一次延長當中降稅這樣的一個措施要不要再繼續延長所以我們在之前有跟金管會做相關密切的一個討論 |
transcript.whisperx[574].start |
15473.801 |
transcript.whisperx[574].end |
15495.701 |
transcript.whisperx[574].text |
也感謝金管會提供了相當多的一些資料除了正向的比如說降低投資人的交易成本然後擴充這個整個維持這個證券市場的一個流動性以及帶動整體資本市場的一個活絡之外當然他也提到就是說必須要有一些管控的一些措施必須要有一些管控機制然後讓這個當沖降稅能夠不要走偏了 |
transcript.whisperx[575].start |
15498.884 |
transcript.whisperx[575].end |
15523.784 |
transcript.whisperx[575].text |
另外也就是我們也請他提供就是說以當沖的跟非當沖的違約的比例來看當沖的違約比例並沒有比非當沖的違約比例高所以我這個部分我們在這一次討論的過程當中都有相關的一個資料的一個分析當然後續委員這邊提到就算有關股民還有國庫的經濟效益的關鍵等等都是要去注意的也是我們要金管會也會去密切觀察的 |
transcript.whisperx[576].start |
15525.025 |
transcript.whisperx[576].end |
15549.518 |
transcript.whisperx[576].text |
謝謝部長我們關心的就是這個延長三年到底是好的誰我們希望還是要把股民跟國庫的效益當作是一個最重要的一個目標好不好提出一些策略其實我另外還要關心一個部分部長您也很了解我對於我們原區也就是以前的原住民鄉 |
transcript.whisperx[577].start |
15550.879 |
transcript.whisperx[577].end |
15556.204 |
transcript.whisperx[577].text |
財政委員會議第12會期財政委員會議第12會期財政委員會議第12會期財政委員會議第12會期財政委員會議第12會期財政委員會議第12會期財政委員會議第12會期財政委員會議第12會期財政委員會議第12會期財政委員會議第12會期財政委員會議 |
transcript.whisperx[578].start |
15571.957 |
transcript.whisperx[578].end |
15597.618 |
transcript.whisperx[578].text |
你們有聽到我的訴求有邀請這六都來但是我說不是邀六都來卻沒有邀真正的這幾個園區來那後來呢你們也用另外的辦了一次但是我看到你們的回函我也蠻傻眼的為什麼因為我們希望就是叫他們來因為財政部 |
transcript.whisperx[579].start |
15598.579 |
transcript.whisperx[579].end |
15621.355 |
transcript.whisperx[579].text |
無論如何,地制法也好、公債法也好、財化法也好畢竟裡面談到財政的部分你們是統籌全國的財政嘛我們也希望你們要有專業意見嘛所以呢,你們邀請他們來對我來講很重要因為他們的意見你們要聽到但是我發現就沒有耶 |
transcript.whisperx[580].start |
15622.757 |
transcript.whisperx[580].end |
15637.537 |
transcript.whisperx[580].text |
後來你們有邀了這一次我看到你們的會議記錄我又更傻眼了我在猜他們的意見在哪裡呀我完全看不到他們的意見他們的發言我只看到結論寫什麼呢 |
transcript.whisperx[581].start |
15639.019 |
transcript.whisperx[581].end |
15659.458 |
transcript.whisperx[581].text |
建議相關直轄市政府橫著轄內園民區自治需求尋預算程序綜合檢討並參著《地質法》第83條之七第二項規定恰商園民區檢討補助事宜我覺得我看到還要去恰商 |
transcript.whisperx[582].start |
15660.259 |
transcript.whisperx[582].end |
15685.201 |
transcript.whisperx[582].text |
那部長我覺得應該這樣的結論你也看不下去因為根本沒有辦法解決問題嘛那好了那我也只好土法煉鋼啦因為我找不到他們的意見我就只好一個一個打電話問每一個區公所與會的人員你們來的時候你們的意見表達是說了什麼好那我要看的你們剛剛提到 |
transcript.whisperx[583].start |
15686.222 |
transcript.whisperx[583].end |
15713.92 |
transcript.whisperx[583].text |
你們的結論要他們看第83條之7的第二項規定可是重點是在第83條之7的第一項為什麼因為重點就是83條之3所列山地原住民居住自治事項他提到前三年平均稅客收入所以我就想要請教部長 |
transcript.whisperx[584].start |
15714.881 |
transcript.whisperx[584].end |
15720.094 |
transcript.whisperx[584].text |
前三年平均稅客收入請教您怎麼算? |
transcript.whisperx[585].start |
15724.085 |
transcript.whisperx[585].end |
15726.326 |
transcript.whisperx[585].text |
市政府也很多錢他們自己也有水庫的回饋金他們說 |
transcript.whisperx[586].start |
15752.597 |
transcript.whisperx[586].end |
15767.088 |
transcript.whisperx[586].text |
他們的稅出自編是4億多但是呢他們的總稅出決算是8億多你看一下這個計算基礎差了一倍至少一倍那他們很苦的是什麼 |
transcript.whisperx[587].start |
15768.097 |
transcript.whisperx[587].end |
15789.953 |
transcript.whisperx[587].text |
他們要公墨、造橋鋪路還有這些學校機關的設施聚會所等等等這種大型建設都需要地方的配合款您應該也很了解但是區公所他沒有自主裁員他就要仰賴市政府同意然後合撥配合款那這有什麼樣的問題 |
transcript.whisperx[588].start |
15791.354 |
transcript.whisperx[588].end |
15804.586 |
transcript.whisperx[588].text |
因為往往他們很多的案件都沒有在市政府送出的案件內因為他要仰賴市府比席啊所以他們很苦啊 |
transcript.whisperx[589].start |
15806.195 |
transcript.whisperx[589].end |
15833.678 |
transcript.whisperx[589].text |
所以部長您了解所以所以我再進一步的要講就是其實像我們談到的前三年的平均這些年軍公教條新多少物資指數年增率到達多少可是他永遠被那個法條給綁死因為那個法的文字就寫在那邊前三年升格前三年的水準已經歷經多少年了 |
transcript.whisperx[590].start |
15834.378 |
transcript.whisperx[590].end |
15857.145 |
transcript.whisperx[590].text |
不進則退沒有變就是縮減因為那個法定的文字在那邊大家就按照那樣子即可所以我為什麼會一直希望而且我好麻煩就是大家做錯一件事好簡單要回復好難也要到地質法修也要在財化法修又要到公債法修重點這是政府弄錯的事餒 |
transcript.whisperx[591].start |
15859.62 |
transcript.whisperx[591].end |
15882.637 |
transcript.whisperx[591].text |
看我一個立法委員苦口婆心我何其無辜啊我們的族人何其無辜啊委員會這個事情確實非常關切但是我們還是要回到源頭就是《地質法》裡面的規定就是您剛剛也舉出來的那事實上不是只是前三年的平均稅客收入只是一個參酌另外還有其他因素要來做涉算補助至少要讓園民區 |
transcript.whisperx[592].start |
15884.418 |
transcript.whisperx[592].end |
15912.467 |
transcript.whisperx[592].text |
實施自治事項能夠有足夠的裁員我們在會議裡面也提到就是說中央統籌分配稅款逐年都在擴大告訴各職俠是你應該要去讓這個原民區能夠有足夠的錢來實施它的自治事項這是我們這次會議的目的那剛剛委員提到就是說各區的來開會的代表們他們的意見如何其實我們的國庫署室友都有記錄下來我想這個部分是不是會後我們提供給委員他各區的意見我們記錄下來給委員做裁員 |
transcript.whisperx[593].start |
15914.407 |
transcript.whisperx[593].end |
15933.362 |
transcript.whisperx[593].text |
不論是部長或者是國庫署長其實你們都很認真也常常的關心我所關心的議題我很感激我只是覺得很苦啊因為以我一己之力要完成這個政府當年的錯誤我覺得我好累因為我覺得不是就是各部會應該要主動的來去補正嗎 |
transcript.whisperx[594].start |
15936.664 |
transcript.whisperx[594].end |
15957.429 |
transcript.whisperx[594].text |
那我希望因為畢竟財政部是統籌我們全國財政的主管機關我還是希望說給我一個積極的解方修法的意見那是不是這樣部長我希望齁就是再把各區的意見把它整理一下然後呢逐案的說明 |
transcript.whisperx[595].start |
15958.149 |
transcript.whisperx[595].end |
15987.182 |
transcript.whisperx[595].text |
解決的方案就是很具體的告訴大家說怎麼解決那要修法建議的修法方向還有修法的期程這樣可以嗎委員的意思就是我們先把各個區的意見彙整起來然後看有什麼方式可以做主一的讓大家知道我們可以怎麼做當然您要知道修法其實它的工程是比較大的您在那個地質法那邊也有提案可是當年一個法就打破啦對所以修法其實基本上很審慎就是一個條文下去其實影響到後面是 |
transcript.whisperx[596].start |
15988.622 |
transcript.whisperx[596].end |
16011.431 |
transcript.whisperx[596].text |
這是補證以前的錯誤我覺得這個沒有什麼需要審慎那部長這樣子就大概希望在兩週內把這樣的一個積極的還有期程、修法期程可以提供嗎?期程?因為第四法不是我們的主管法規沒有,就是你的專業意見我們就把意見看看我們盡量有提供給委員因為畢竟你們的 |
transcript.whisperx[597].start |
16013.812 |
transcript.whisperx[597].end |
16025.289 |
transcript.whisperx[597].text |
意見我們拿到了之後他就會是未來我們提供給各部會的意見好不好我們盡量研議謝謝部長謝謝主席謝謝立法委員那接著我們請 |
transcript.whisperx[598].start |
16027.009 |
transcript.whisperx[598].end |
16043.704 |
transcript.whisperx[598].text |
黃建豪、黃建豪、黃建豪我言不在廖先祥、廖先祥、廖先祥我言不在謝一鳳、謝一鳳、謝一鳳我言不在蘇清前、蘇清前、蘇清前我言不在羅廷偉、羅廷偉、羅廷偉我言不在 |
transcript.whisperx[599].start |
16045.152 |
transcript.whisperx[599].end |
16069.802 |
transcript.whisperx[599].text |
本席在這裡做一個報告今日登記花園的委員均已詢答完畢那本日會議作如下列的結議就是報告跟說明跟詢答完畢二、委員質詢如果沒有及時答覆或請補充資訊請相關的部會在一週內已書面的答覆委員另有求 |
transcript.whisperx[600].start |
16070.622 |
transcript.whisperx[600].end |
16079.134 |
transcript.whisperx[600].text |
令我要求期限者從期鎖定在這裡再跟大家做一個報告《證券交易條例》 |
transcript.whisperx[601].start |
16086.803 |
transcript.whisperx[601].end |
16112.293 |
transcript.whisperx[601].text |
政卷交易稅條例第二條之二第十四條條文修正草案政卷交易稅條例第二條之二條文修正草案政卷交易稅條例第十二條條文修正草案本五案令哲其繼續審查 |
transcript.whisperx[602].start |
16115.097 |
transcript.whisperx[602].end |
16131.766 |
transcript.whisperx[602].text |
本日會議議程也已經進行完畢那就是 倘若有不在場的委員那請你們補題書面的一個執行一併列入記錄刊登公報並請議事人員協助處理好 休息 |
transcript.whisperx[603].start |
16151.049 |
transcript.whisperx[603].end |
16156.814 |
transcript.whisperx[603].text |
行政院函請審議:「證券交易稅條例第二條之三及第十二條條文修正草案 |
會議時間 |
2024-10-16T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期財政委員會第2次全體委員會議(事由:一、邀請財政部莊部長翠雲率所屬機關首長暨國營事業董事長、總經理(含各轉投資事業機構公股代表之董、監事)列席業務報告,並備質詢。
二、審查「證券交易稅條例」7案:
(一) 行政院函請審議「證券交易稅條例第二條之二及第十二條條文修正草案」案。
(二) 本院委員羅明才等20人擬具「證券交易稅條例第二條之二條文修正草案」案。
(三) 本院委員賴士葆等25人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。
(四) 本院委員伍麗華Saidhai Tahovecahe等19人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。
(五) 本院委員賴惠員等37人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。【本案須經各黨團簽署不復議同意書】
(六) 本院委員林楚茵等19人擬具「證券交易稅條例第二條之二條文修正草案」案。【本案須經各黨團簽署不復議同意書】
(七) 本院委員邱志偉等19人擬具「證券交易稅條例第十二條條文修正草案」案。
【10月16日及17日二天一次會】) |
委員發言時間 |
08:31:02 - 13:01:00 |