IVOD_ID |
16782 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16782 |
日期 |
2025-06-25 |
會議資料.會議代碼 |
委員會-11-3-23-17 |
會議資料.會議代碼:str |
第11屆第3會期交通委員會第17次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
17 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
23 |
會議資料.委員會代碼:str[0] |
交通委員會 |
會議資料.標題 |
第11屆第3會期交通委員會第17次全體委員會議 |
影片種類 |
Full |
開始時間 |
2025-06-25T08:30:15+08:00 |
結束時間 |
2025-06-25T13:40:00+08:00 |
影片長度 |
05:09:45 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd9fa285f098aaacf3ad9f551ce5fa921f418e1797692e3a0d710cfa84a2355fa25ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2025-06-25T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期交通委員會第17次全體委員會議(事由:邀請交通部部長、交通部鐵道局局長、交通部觀光署署長、國營臺灣鐵路股份有限公司董事長及台灣高速鐵路股份有限公司董事長率所屬相關單位列席就「交通部觀光署、國營臺灣鐵路股份有限公司及台灣高速鐵路股份有限公司人事調整及新任首長之業務展望」進行專題報告,並備質詢。
【若開會當日交通部觀光署新任署長尚未就任,該署部分另擇期排案】) |
委員名稱 |
完整會議 |
委員發言時間 |
08:30:15 - 13:40:00 |
transcript.pyannote[0].speaker |
SPEAKER_05 |
transcript.pyannote[0].start |
1789.13534375 |
transcript.pyannote[0].end |
1798.43346875 |
transcript.pyannote[1].speaker |
SPEAKER_05 |
transcript.pyannote[1].start |
1799.09159375 |
transcript.pyannote[1].end |
1800.00284375 |
transcript.pyannote[2].speaker |
SPEAKER_05 |
transcript.pyannote[2].start |
1801.35284375 |
transcript.pyannote[2].end |
1803.79971875 |
transcript.pyannote[3].speaker |
SPEAKER_05 |
transcript.pyannote[3].start |
1805.60534375 |
transcript.pyannote[3].end |
1806.02721875 |
transcript.pyannote[4].speaker |
SPEAKER_05 |
transcript.pyannote[4].start |
1808.22096875 |
transcript.pyannote[4].end |
1810.95471875 |
transcript.pyannote[5].speaker |
SPEAKER_05 |
transcript.pyannote[5].start |
1811.54534375 |
transcript.pyannote[5].end |
1812.00096875 |
transcript.pyannote[6].speaker |
SPEAKER_05 |
transcript.pyannote[6].start |
1812.30471875 |
transcript.pyannote[6].end |
1813.06409375 |
transcript.pyannote[7].speaker |
SPEAKER_05 |
transcript.pyannote[7].start |
1850.40846875 |
transcript.pyannote[7].end |
1852.45034375 |
transcript.pyannote[8].speaker |
SPEAKER_05 |
transcript.pyannote[8].start |
1853.02409375 |
transcript.pyannote[8].end |
1854.76221875 |
transcript.pyannote[9].speaker |
SPEAKER_05 |
transcript.pyannote[9].start |
1855.69034375 |
transcript.pyannote[9].end |
1857.37784375 |
transcript.pyannote[10].speaker |
SPEAKER_05 |
transcript.pyannote[10].start |
1862.64284375 |
transcript.pyannote[10].end |
1865.19096875 |
transcript.pyannote[11].speaker |
SPEAKER_05 |
transcript.pyannote[11].start |
1867.50284375 |
transcript.pyannote[11].end |
1879.07909375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
1881.47534375 |
transcript.pyannote[12].end |
1911.85034375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
1912.22159375 |
transcript.pyannote[13].end |
1915.96784375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
1916.23784375 |
transcript.pyannote[14].end |
1919.44409375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
1919.66346875 |
transcript.pyannote[15].end |
1928.20221875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
1928.40471875 |
transcript.pyannote[16].end |
1933.68659375 |
transcript.pyannote[17].speaker |
SPEAKER_05 |
transcript.pyannote[17].start |
1933.95659375 |
transcript.pyannote[17].end |
1933.97346875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
1933.97346875 |
transcript.pyannote[18].end |
1934.02409375 |
transcript.pyannote[19].speaker |
SPEAKER_05 |
transcript.pyannote[19].start |
1934.02409375 |
transcript.pyannote[19].end |
1934.29409375 |
transcript.pyannote[20].speaker |
SPEAKER_05 |
transcript.pyannote[20].start |
1938.85034375 |
transcript.pyannote[20].end |
1944.68909375 |
transcript.pyannote[21].speaker |
SPEAKER_05 |
transcript.pyannote[21].start |
1945.26284375 |
transcript.pyannote[21].end |
1948.65471875 |
transcript.pyannote[22].speaker |
SPEAKER_05 |
transcript.pyannote[22].start |
1951.97909375 |
transcript.pyannote[22].end |
1954.25721875 |
transcript.pyannote[23].speaker |
SPEAKER_05 |
transcript.pyannote[23].start |
1954.57784375 |
transcript.pyannote[23].end |
1955.48909375 |
transcript.pyannote[24].speaker |
SPEAKER_05 |
transcript.pyannote[24].start |
1955.77596875 |
transcript.pyannote[24].end |
1957.07534375 |
transcript.pyannote[25].speaker |
SPEAKER_05 |
transcript.pyannote[25].start |
1958.69534375 |
transcript.pyannote[25].end |
1960.90596875 |
transcript.pyannote[26].speaker |
SPEAKER_05 |
transcript.pyannote[26].start |
1962.07034375 |
transcript.pyannote[26].end |
1963.42034375 |
transcript.pyannote[27].speaker |
SPEAKER_05 |
transcript.pyannote[27].start |
1964.14596875 |
transcript.pyannote[27].end |
1968.49971875 |
transcript.pyannote[28].speaker |
SPEAKER_05 |
transcript.pyannote[28].start |
1969.69784375 |
transcript.pyannote[28].end |
1971.19971875 |
transcript.pyannote[29].speaker |
SPEAKER_05 |
transcript.pyannote[29].start |
1971.36846875 |
transcript.pyannote[29].end |
1973.39346875 |
transcript.pyannote[30].speaker |
SPEAKER_05 |
transcript.pyannote[30].start |
1974.91221875 |
transcript.pyannote[30].end |
1976.05971875 |
transcript.pyannote[31].speaker |
SPEAKER_05 |
transcript.pyannote[31].start |
1976.54909375 |
transcript.pyannote[31].end |
1977.88221875 |
transcript.pyannote[32].speaker |
SPEAKER_05 |
transcript.pyannote[32].start |
1979.99159375 |
transcript.pyannote[32].end |
1982.40471875 |
transcript.pyannote[33].speaker |
SPEAKER_05 |
transcript.pyannote[33].start |
1983.99096875 |
transcript.pyannote[33].end |
1987.02846875 |
transcript.pyannote[34].speaker |
SPEAKER_05 |
transcript.pyannote[34].start |
1989.61034375 |
transcript.pyannote[34].end |
1993.20471875 |
transcript.pyannote[35].speaker |
SPEAKER_05 |
transcript.pyannote[35].start |
1994.94284375 |
transcript.pyannote[35].end |
1998.65534375 |
transcript.pyannote[36].speaker |
SPEAKER_05 |
transcript.pyannote[36].start |
2000.57909375 |
transcript.pyannote[36].end |
2001.74346875 |
transcript.pyannote[37].speaker |
SPEAKER_05 |
transcript.pyannote[37].start |
2004.40971875 |
transcript.pyannote[37].end |
2005.38846875 |
transcript.pyannote[38].speaker |
SPEAKER_05 |
transcript.pyannote[38].start |
2006.16471875 |
transcript.pyannote[38].end |
2009.53971875 |
transcript.pyannote[39].speaker |
SPEAKER_05 |
transcript.pyannote[39].start |
2009.89409375 |
transcript.pyannote[39].end |
2041.48409375 |
transcript.pyannote[40].speaker |
SPEAKER_05 |
transcript.pyannote[40].start |
2042.04096875 |
transcript.pyannote[40].end |
2049.33096875 |
transcript.pyannote[41].speaker |
SPEAKER_07 |
transcript.pyannote[41].start |
2057.05971875 |
transcript.pyannote[41].end |
2058.34221875 |
transcript.pyannote[42].speaker |
SPEAKER_07 |
transcript.pyannote[42].start |
2059.21971875 |
transcript.pyannote[42].end |
2060.35034375 |
transcript.pyannote[43].speaker |
SPEAKER_07 |
transcript.pyannote[43].start |
2060.97471875 |
transcript.pyannote[43].end |
2078.00159375 |
transcript.pyannote[44].speaker |
SPEAKER_07 |
transcript.pyannote[44].start |
2078.45721875 |
transcript.pyannote[44].end |
2080.04346875 |
transcript.pyannote[45].speaker |
SPEAKER_07 |
transcript.pyannote[45].start |
2081.51159375 |
transcript.pyannote[45].end |
2085.71346875 |
transcript.pyannote[46].speaker |
SPEAKER_07 |
transcript.pyannote[46].start |
2086.00034375 |
transcript.pyannote[46].end |
2088.56534375 |
transcript.pyannote[47].speaker |
SPEAKER_07 |
transcript.pyannote[47].start |
2089.18971875 |
transcript.pyannote[47].end |
2094.75846875 |
transcript.pyannote[48].speaker |
SPEAKER_07 |
transcript.pyannote[48].start |
2094.97784375 |
transcript.pyannote[48].end |
2101.08659375 |
transcript.pyannote[49].speaker |
SPEAKER_07 |
transcript.pyannote[49].start |
2101.69409375 |
transcript.pyannote[49].end |
2113.52346875 |
transcript.pyannote[50].speaker |
SPEAKER_07 |
transcript.pyannote[50].start |
2113.64159375 |
transcript.pyannote[50].end |
2127.58034375 |
transcript.pyannote[51].speaker |
SPEAKER_07 |
transcript.pyannote[51].start |
2127.71534375 |
transcript.pyannote[51].end |
2133.85784375 |
transcript.pyannote[52].speaker |
SPEAKER_07 |
transcript.pyannote[52].start |
2134.29659375 |
transcript.pyannote[52].end |
2140.10159375 |
transcript.pyannote[53].speaker |
SPEAKER_07 |
transcript.pyannote[53].start |
2140.15221875 |
transcript.pyannote[53].end |
2143.81409375 |
transcript.pyannote[54].speaker |
SPEAKER_07 |
transcript.pyannote[54].start |
2144.53971875 |
transcript.pyannote[54].end |
2147.30721875 |
transcript.pyannote[55].speaker |
SPEAKER_07 |
transcript.pyannote[55].start |
2147.49284375 |
transcript.pyannote[55].end |
2158.36034375 |
transcript.pyannote[56].speaker |
SPEAKER_07 |
transcript.pyannote[56].start |
2158.66409375 |
transcript.pyannote[56].end |
2159.27159375 |
transcript.pyannote[57].speaker |
SPEAKER_07 |
transcript.pyannote[57].start |
2160.21659375 |
transcript.pyannote[57].end |
2170.51034375 |
transcript.pyannote[58].speaker |
SPEAKER_07 |
transcript.pyannote[58].start |
2170.74659375 |
transcript.pyannote[58].end |
2173.48034375 |
transcript.pyannote[59].speaker |
SPEAKER_07 |
transcript.pyannote[59].start |
2173.51409375 |
transcript.pyannote[59].end |
2175.15096875 |
transcript.pyannote[60].speaker |
SPEAKER_07 |
transcript.pyannote[60].start |
2175.33659375 |
transcript.pyannote[60].end |
2178.03659375 |
transcript.pyannote[61].speaker |
SPEAKER_07 |
transcript.pyannote[61].start |
2178.76221875 |
transcript.pyannote[61].end |
2179.15034375 |
transcript.pyannote[62].speaker |
SPEAKER_07 |
transcript.pyannote[62].start |
2179.42034375 |
transcript.pyannote[62].end |
2182.15409375 |
transcript.pyannote[63].speaker |
SPEAKER_07 |
transcript.pyannote[63].start |
2182.66034375 |
transcript.pyannote[63].end |
2183.90909375 |
transcript.pyannote[64].speaker |
SPEAKER_07 |
transcript.pyannote[64].start |
2184.29721875 |
transcript.pyannote[64].end |
2186.92971875 |
transcript.pyannote[65].speaker |
SPEAKER_07 |
transcript.pyannote[65].start |
2187.11534375 |
transcript.pyannote[65].end |
2191.08096875 |
transcript.pyannote[66].speaker |
SPEAKER_07 |
transcript.pyannote[66].start |
2192.54909375 |
transcript.pyannote[66].end |
2205.05346875 |
transcript.pyannote[67].speaker |
SPEAKER_07 |
transcript.pyannote[67].start |
2205.93096875 |
transcript.pyannote[67].end |
2221.18596875 |
transcript.pyannote[68].speaker |
SPEAKER_07 |
transcript.pyannote[68].start |
2221.59096875 |
transcript.pyannote[68].end |
2225.57346875 |
transcript.pyannote[69].speaker |
SPEAKER_05 |
transcript.pyannote[69].start |
2227.98659375 |
transcript.pyannote[69].end |
2237.25096875 |
transcript.pyannote[70].speaker |
SPEAKER_05 |
transcript.pyannote[70].start |
2238.17909375 |
transcript.pyannote[70].end |
2245.51971875 |
transcript.pyannote[71].speaker |
SPEAKER_16 |
transcript.pyannote[71].start |
2255.34096875 |
transcript.pyannote[71].end |
2256.21846875 |
transcript.pyannote[72].speaker |
SPEAKER_16 |
transcript.pyannote[72].start |
2256.75846875 |
transcript.pyannote[72].end |
2259.69471875 |
transcript.pyannote[73].speaker |
SPEAKER_16 |
transcript.pyannote[73].start |
2260.63971875 |
transcript.pyannote[73].end |
2263.27221875 |
transcript.pyannote[74].speaker |
SPEAKER_16 |
transcript.pyannote[74].start |
2263.47471875 |
transcript.pyannote[74].end |
2264.41971875 |
transcript.pyannote[75].speaker |
SPEAKER_16 |
transcript.pyannote[75].start |
2264.62221875 |
transcript.pyannote[75].end |
2265.51659375 |
transcript.pyannote[76].speaker |
SPEAKER_16 |
transcript.pyannote[76].start |
2266.29284375 |
transcript.pyannote[76].end |
2277.53159375 |
transcript.pyannote[77].speaker |
SPEAKER_16 |
transcript.pyannote[77].start |
2277.91971875 |
transcript.pyannote[77].end |
2278.89846875 |
transcript.pyannote[78].speaker |
SPEAKER_16 |
transcript.pyannote[78].start |
2279.57346875 |
transcript.pyannote[78].end |
2280.75471875 |
transcript.pyannote[79].speaker |
SPEAKER_16 |
transcript.pyannote[79].start |
2281.27784375 |
transcript.pyannote[79].end |
2284.50096875 |
transcript.pyannote[80].speaker |
SPEAKER_16 |
transcript.pyannote[80].start |
2284.88909375 |
transcript.pyannote[80].end |
2286.64409375 |
transcript.pyannote[81].speaker |
SPEAKER_16 |
transcript.pyannote[81].start |
2287.57221875 |
transcript.pyannote[81].end |
2288.19659375 |
transcript.pyannote[82].speaker |
SPEAKER_16 |
transcript.pyannote[82].start |
2288.71971875 |
transcript.pyannote[82].end |
2289.32721875 |
transcript.pyannote[83].speaker |
SPEAKER_16 |
transcript.pyannote[83].start |
2289.74909375 |
transcript.pyannote[83].end |
2293.34346875 |
transcript.pyannote[84].speaker |
SPEAKER_16 |
transcript.pyannote[84].start |
2294.08596875 |
transcript.pyannote[84].end |
2308.36221875 |
transcript.pyannote[85].speaker |
SPEAKER_16 |
transcript.pyannote[85].start |
2308.90221875 |
transcript.pyannote[85].end |
2313.44159375 |
transcript.pyannote[86].speaker |
SPEAKER_16 |
transcript.pyannote[86].start |
2313.69471875 |
transcript.pyannote[86].end |
2315.31471875 |
transcript.pyannote[87].speaker |
SPEAKER_16 |
transcript.pyannote[87].start |
2315.60159375 |
transcript.pyannote[87].end |
2319.38159375 |
transcript.pyannote[88].speaker |
SPEAKER_16 |
transcript.pyannote[88].start |
2319.90471875 |
transcript.pyannote[88].end |
2325.54096875 |
transcript.pyannote[89].speaker |
SPEAKER_16 |
transcript.pyannote[89].start |
2326.03034375 |
transcript.pyannote[89].end |
2330.38409375 |
transcript.pyannote[90].speaker |
SPEAKER_16 |
transcript.pyannote[90].start |
2331.19409375 |
transcript.pyannote[90].end |
2332.25721875 |
transcript.pyannote[91].speaker |
SPEAKER_16 |
transcript.pyannote[91].start |
2332.89846875 |
transcript.pyannote[91].end |
2339.10846875 |
transcript.pyannote[92].speaker |
SPEAKER_16 |
transcript.pyannote[92].start |
2339.76659375 |
transcript.pyannote[92].end |
2340.32346875 |
transcript.pyannote[93].speaker |
SPEAKER_16 |
transcript.pyannote[93].start |
2341.09971875 |
transcript.pyannote[93].end |
2349.55409375 |
transcript.pyannote[94].speaker |
SPEAKER_16 |
transcript.pyannote[94].start |
2350.06034375 |
transcript.pyannote[94].end |
2351.41034375 |
transcript.pyannote[95].speaker |
SPEAKER_16 |
transcript.pyannote[95].start |
2351.98409375 |
transcript.pyannote[95].end |
2363.49284375 |
transcript.pyannote[96].speaker |
SPEAKER_16 |
transcript.pyannote[96].start |
2363.66159375 |
transcript.pyannote[96].end |
2364.99471875 |
transcript.pyannote[97].speaker |
SPEAKER_16 |
transcript.pyannote[97].start |
2365.60221875 |
transcript.pyannote[97].end |
2366.20971875 |
transcript.pyannote[98].speaker |
SPEAKER_16 |
transcript.pyannote[98].start |
2366.69909375 |
transcript.pyannote[98].end |
2370.24284375 |
transcript.pyannote[99].speaker |
SPEAKER_16 |
transcript.pyannote[99].start |
2370.54659375 |
transcript.pyannote[99].end |
2372.80784375 |
transcript.pyannote[100].speaker |
SPEAKER_16 |
transcript.pyannote[100].start |
2373.19596875 |
transcript.pyannote[100].end |
2381.92034375 |
transcript.pyannote[101].speaker |
SPEAKER_16 |
transcript.pyannote[101].start |
2382.42659375 |
transcript.pyannote[101].end |
2395.40346875 |
transcript.pyannote[102].speaker |
SPEAKER_16 |
transcript.pyannote[102].start |
2395.77471875 |
transcript.pyannote[102].end |
2398.10346875 |
transcript.pyannote[103].speaker |
SPEAKER_16 |
transcript.pyannote[103].start |
2399.01471875 |
transcript.pyannote[103].end |
2402.03534375 |
transcript.pyannote[104].speaker |
SPEAKER_16 |
transcript.pyannote[104].start |
2402.50784375 |
transcript.pyannote[104].end |
2405.24159375 |
transcript.pyannote[105].speaker |
SPEAKER_16 |
transcript.pyannote[105].start |
2405.34284375 |
transcript.pyannote[105].end |
2413.10534375 |
transcript.pyannote[106].speaker |
SPEAKER_16 |
transcript.pyannote[106].start |
2413.72971875 |
transcript.pyannote[106].end |
2414.74221875 |
transcript.pyannote[107].speaker |
SPEAKER_16 |
transcript.pyannote[107].start |
2414.97846875 |
transcript.pyannote[107].end |
2415.83909375 |
transcript.pyannote[108].speaker |
SPEAKER_16 |
transcript.pyannote[108].start |
2416.05846875 |
transcript.pyannote[108].end |
2417.22284375 |
transcript.pyannote[109].speaker |
SPEAKER_16 |
transcript.pyannote[109].start |
2417.62784375 |
transcript.pyannote[109].end |
2428.52909375 |
transcript.pyannote[110].speaker |
SPEAKER_16 |
transcript.pyannote[110].start |
2428.66409375 |
transcript.pyannote[110].end |
2429.54159375 |
transcript.pyannote[111].speaker |
SPEAKER_16 |
transcript.pyannote[111].start |
2429.76096875 |
transcript.pyannote[111].end |
2437.10159375 |
transcript.pyannote[112].speaker |
SPEAKER_16 |
transcript.pyannote[112].start |
2437.77659375 |
transcript.pyannote[112].end |
2458.87034375 |
transcript.pyannote[113].speaker |
SPEAKER_16 |
transcript.pyannote[113].start |
2459.84909375 |
transcript.pyannote[113].end |
2463.96659375 |
transcript.pyannote[114].speaker |
SPEAKER_16 |
transcript.pyannote[114].start |
2464.18596875 |
transcript.pyannote[114].end |
2478.76596875 |
transcript.pyannote[115].speaker |
SPEAKER_16 |
transcript.pyannote[115].start |
2479.33971875 |
transcript.pyannote[115].end |
2481.95534375 |
transcript.pyannote[116].speaker |
SPEAKER_16 |
transcript.pyannote[116].start |
2482.54596875 |
transcript.pyannote[116].end |
2496.38346875 |
transcript.pyannote[117].speaker |
SPEAKER_16 |
transcript.pyannote[117].start |
2496.77159375 |
transcript.pyannote[117].end |
2498.84721875 |
transcript.pyannote[118].speaker |
SPEAKER_16 |
transcript.pyannote[118].start |
2499.20159375 |
transcript.pyannote[118].end |
2503.04909375 |
transcript.pyannote[119].speaker |
SPEAKER_16 |
transcript.pyannote[119].start |
2503.48784375 |
transcript.pyannote[119].end |
2504.21346875 |
transcript.pyannote[120].speaker |
SPEAKER_16 |
transcript.pyannote[120].start |
2504.44971875 |
transcript.pyannote[120].end |
2505.76596875 |
transcript.pyannote[121].speaker |
SPEAKER_16 |
transcript.pyannote[121].start |
2507.09909375 |
transcript.pyannote[121].end |
2515.19909375 |
transcript.pyannote[122].speaker |
SPEAKER_16 |
transcript.pyannote[122].start |
2515.72221875 |
transcript.pyannote[122].end |
2517.83159375 |
transcript.pyannote[123].speaker |
SPEAKER_16 |
transcript.pyannote[123].start |
2518.35471875 |
transcript.pyannote[123].end |
2519.82284375 |
transcript.pyannote[124].speaker |
SPEAKER_16 |
transcript.pyannote[124].start |
2520.32909375 |
transcript.pyannote[124].end |
2522.33721875 |
transcript.pyannote[125].speaker |
SPEAKER_16 |
transcript.pyannote[125].start |
2522.47221875 |
transcript.pyannote[125].end |
2527.46721875 |
transcript.pyannote[126].speaker |
SPEAKER_16 |
transcript.pyannote[126].start |
2527.65284375 |
transcript.pyannote[126].end |
2541.40596875 |
transcript.pyannote[127].speaker |
SPEAKER_16 |
transcript.pyannote[127].start |
2542.04721875 |
transcript.pyannote[127].end |
2543.16096875 |
transcript.pyannote[128].speaker |
SPEAKER_16 |
transcript.pyannote[128].start |
2543.61659375 |
transcript.pyannote[128].end |
2547.31221875 |
transcript.pyannote[129].speaker |
SPEAKER_16 |
transcript.pyannote[129].start |
2549.38784375 |
transcript.pyannote[129].end |
2549.84346875 |
transcript.pyannote[130].speaker |
SPEAKER_16 |
transcript.pyannote[130].start |
2550.36659375 |
transcript.pyannote[130].end |
2565.45284375 |
transcript.pyannote[131].speaker |
SPEAKER_16 |
transcript.pyannote[131].start |
2566.00971875 |
transcript.pyannote[131].end |
2566.85346875 |
transcript.pyannote[132].speaker |
SPEAKER_16 |
transcript.pyannote[132].start |
2567.46096875 |
transcript.pyannote[132].end |
2571.27471875 |
transcript.pyannote[133].speaker |
SPEAKER_16 |
transcript.pyannote[133].start |
2571.37596875 |
transcript.pyannote[133].end |
2578.00784375 |
transcript.pyannote[134].speaker |
SPEAKER_16 |
transcript.pyannote[134].start |
2578.75034375 |
transcript.pyannote[134].end |
2579.74596875 |
transcript.pyannote[135].speaker |
SPEAKER_16 |
transcript.pyannote[135].start |
2579.96534375 |
transcript.pyannote[135].end |
2583.96471875 |
transcript.pyannote[136].speaker |
SPEAKER_16 |
transcript.pyannote[136].start |
2584.42034375 |
transcript.pyannote[136].end |
2587.81221875 |
transcript.pyannote[137].speaker |
SPEAKER_16 |
transcript.pyannote[137].start |
2588.53784375 |
transcript.pyannote[137].end |
2589.66846875 |
transcript.pyannote[138].speaker |
SPEAKER_16 |
transcript.pyannote[138].start |
2590.12409375 |
transcript.pyannote[138].end |
2593.48221875 |
transcript.pyannote[139].speaker |
SPEAKER_16 |
transcript.pyannote[139].start |
2593.81971875 |
transcript.pyannote[139].end |
2596.18221875 |
transcript.pyannote[140].speaker |
SPEAKER_16 |
transcript.pyannote[140].start |
2596.60409375 |
transcript.pyannote[140].end |
2601.54846875 |
transcript.pyannote[141].speaker |
SPEAKER_16 |
transcript.pyannote[141].start |
2601.90284375 |
transcript.pyannote[141].end |
2624.31284375 |
transcript.pyannote[142].speaker |
SPEAKER_16 |
transcript.pyannote[142].start |
2624.58284375 |
transcript.pyannote[142].end |
2629.49346875 |
transcript.pyannote[143].speaker |
SPEAKER_16 |
transcript.pyannote[143].start |
2630.05034375 |
transcript.pyannote[143].end |
2634.40409375 |
transcript.pyannote[144].speaker |
SPEAKER_16 |
transcript.pyannote[144].start |
2635.28159375 |
transcript.pyannote[144].end |
2638.08284375 |
transcript.pyannote[145].speaker |
SPEAKER_16 |
transcript.pyannote[145].start |
2638.72409375 |
transcript.pyannote[145].end |
2643.66846875 |
transcript.pyannote[146].speaker |
SPEAKER_16 |
transcript.pyannote[146].start |
2644.14096875 |
transcript.pyannote[146].end |
2646.09846875 |
transcript.pyannote[147].speaker |
SPEAKER_16 |
transcript.pyannote[147].start |
2646.62159375 |
transcript.pyannote[147].end |
2662.78784375 |
transcript.pyannote[148].speaker |
SPEAKER_16 |
transcript.pyannote[148].start |
2663.34471875 |
transcript.pyannote[148].end |
2663.88471875 |
transcript.pyannote[149].speaker |
SPEAKER_16 |
transcript.pyannote[149].start |
2664.67784375 |
transcript.pyannote[149].end |
2665.25159375 |
transcript.pyannote[150].speaker |
SPEAKER_16 |
transcript.pyannote[150].start |
2665.92659375 |
transcript.pyannote[150].end |
2667.15846875 |
transcript.pyannote[151].speaker |
SPEAKER_16 |
transcript.pyannote[151].start |
2668.82909375 |
transcript.pyannote[151].end |
2669.65596875 |
transcript.pyannote[152].speaker |
SPEAKER_16 |
transcript.pyannote[152].start |
2670.46596875 |
transcript.pyannote[152].end |
2672.67659375 |
transcript.pyannote[153].speaker |
SPEAKER_16 |
transcript.pyannote[153].start |
2672.96346875 |
transcript.pyannote[153].end |
2674.27971875 |
transcript.pyannote[154].speaker |
SPEAKER_16 |
transcript.pyannote[154].start |
2674.71846875 |
transcript.pyannote[154].end |
2680.94534375 |
transcript.pyannote[155].speaker |
SPEAKER_16 |
transcript.pyannote[155].start |
2681.31659375 |
transcript.pyannote[155].end |
2687.08784375 |
transcript.pyannote[156].speaker |
SPEAKER_16 |
transcript.pyannote[156].start |
2687.22284375 |
transcript.pyannote[156].end |
2702.71409375 |
transcript.pyannote[157].speaker |
SPEAKER_16 |
transcript.pyannote[157].start |
2702.81534375 |
transcript.pyannote[157].end |
2714.03721875 |
transcript.pyannote[158].speaker |
SPEAKER_05 |
transcript.pyannote[158].start |
2714.03721875 |
transcript.pyannote[158].end |
2715.80909375 |
transcript.pyannote[159].speaker |
SPEAKER_05 |
transcript.pyannote[159].start |
2716.63596875 |
transcript.pyannote[159].end |
2726.40659375 |
transcript.pyannote[160].speaker |
SPEAKER_11 |
transcript.pyannote[160].start |
2739.19784375 |
transcript.pyannote[160].end |
2748.02346875 |
transcript.pyannote[161].speaker |
SPEAKER_11 |
transcript.pyannote[161].start |
2748.14159375 |
transcript.pyannote[161].end |
2754.38534375 |
transcript.pyannote[162].speaker |
SPEAKER_11 |
transcript.pyannote[162].start |
2755.80284375 |
transcript.pyannote[162].end |
2763.88596875 |
transcript.pyannote[163].speaker |
SPEAKER_22 |
transcript.pyannote[163].start |
2761.82721875 |
transcript.pyannote[163].end |
2761.86096875 |
transcript.pyannote[164].speaker |
SPEAKER_11 |
transcript.pyannote[164].start |
2764.69596875 |
transcript.pyannote[164].end |
2768.18909375 |
transcript.pyannote[165].speaker |
SPEAKER_11 |
transcript.pyannote[165].start |
2768.23971875 |
transcript.pyannote[165].end |
2771.02409375 |
transcript.pyannote[166].speaker |
SPEAKER_11 |
transcript.pyannote[166].start |
2771.36159375 |
transcript.pyannote[166].end |
2774.43284375 |
transcript.pyannote[167].speaker |
SPEAKER_11 |
transcript.pyannote[167].start |
2775.17534375 |
transcript.pyannote[167].end |
2776.47471875 |
transcript.pyannote[168].speaker |
SPEAKER_11 |
transcript.pyannote[168].start |
2776.71096875 |
transcript.pyannote[168].end |
2778.24659375 |
transcript.pyannote[169].speaker |
SPEAKER_11 |
transcript.pyannote[169].start |
2778.63471875 |
transcript.pyannote[169].end |
2781.31784375 |
transcript.pyannote[170].speaker |
SPEAKER_11 |
transcript.pyannote[170].start |
2781.80721875 |
transcript.pyannote[170].end |
2787.42659375 |
transcript.pyannote[171].speaker |
SPEAKER_11 |
transcript.pyannote[171].start |
2787.74721875 |
transcript.pyannote[171].end |
2792.20221875 |
transcript.pyannote[172].speaker |
SPEAKER_11 |
transcript.pyannote[172].start |
2792.40471875 |
transcript.pyannote[172].end |
2794.39596875 |
transcript.pyannote[173].speaker |
SPEAKER_11 |
transcript.pyannote[173].start |
2794.81784375 |
transcript.pyannote[173].end |
2800.63971875 |
transcript.pyannote[174].speaker |
SPEAKER_11 |
transcript.pyannote[174].start |
2801.34846875 |
transcript.pyannote[174].end |
2802.83346875 |
transcript.pyannote[175].speaker |
SPEAKER_11 |
transcript.pyannote[175].start |
2802.96846875 |
transcript.pyannote[175].end |
2817.39659375 |
transcript.pyannote[176].speaker |
SPEAKER_11 |
transcript.pyannote[176].start |
2817.76784375 |
transcript.pyannote[176].end |
2825.37846875 |
transcript.pyannote[177].speaker |
SPEAKER_11 |
transcript.pyannote[177].start |
2825.90159375 |
transcript.pyannote[177].end |
2841.05534375 |
transcript.pyannote[178].speaker |
SPEAKER_11 |
transcript.pyannote[178].start |
2841.08909375 |
transcript.pyannote[178].end |
2843.75534375 |
transcript.pyannote[179].speaker |
SPEAKER_11 |
transcript.pyannote[179].start |
2844.21096875 |
transcript.pyannote[179].end |
2854.79159375 |
transcript.pyannote[180].speaker |
SPEAKER_11 |
transcript.pyannote[180].start |
2855.23034375 |
transcript.pyannote[180].end |
2867.58284375 |
transcript.pyannote[181].speaker |
SPEAKER_11 |
transcript.pyannote[181].start |
2867.76846875 |
transcript.pyannote[181].end |
2871.10971875 |
transcript.pyannote[182].speaker |
SPEAKER_11 |
transcript.pyannote[182].start |
2871.22784375 |
transcript.pyannote[182].end |
2872.17284375 |
transcript.pyannote[183].speaker |
SPEAKER_11 |
transcript.pyannote[183].start |
2873.11784375 |
transcript.pyannote[183].end |
2875.73346875 |
transcript.pyannote[184].speaker |
SPEAKER_11 |
transcript.pyannote[184].start |
2876.88096875 |
transcript.pyannote[184].end |
2880.03659375 |
transcript.pyannote[185].speaker |
SPEAKER_11 |
transcript.pyannote[185].start |
2880.30659375 |
transcript.pyannote[185].end |
2888.25471875 |
transcript.pyannote[186].speaker |
SPEAKER_11 |
transcript.pyannote[186].start |
2888.57534375 |
transcript.pyannote[186].end |
2895.78096875 |
transcript.pyannote[187].speaker |
SPEAKER_11 |
transcript.pyannote[187].start |
2896.40534375 |
transcript.pyannote[187].end |
2899.29096875 |
transcript.pyannote[188].speaker |
SPEAKER_11 |
transcript.pyannote[188].start |
2899.49346875 |
transcript.pyannote[188].end |
2919.67596875 |
transcript.pyannote[189].speaker |
SPEAKER_11 |
transcript.pyannote[189].start |
2920.24971875 |
transcript.pyannote[189].end |
2954.67471875 |
transcript.pyannote[190].speaker |
SPEAKER_11 |
transcript.pyannote[190].start |
2954.79284375 |
transcript.pyannote[190].end |
2956.61534375 |
transcript.pyannote[191].speaker |
SPEAKER_11 |
transcript.pyannote[191].start |
2957.20596875 |
transcript.pyannote[191].end |
2967.38159375 |
transcript.pyannote[192].speaker |
SPEAKER_11 |
transcript.pyannote[192].start |
2967.49971875 |
transcript.pyannote[192].end |
2974.08096875 |
transcript.pyannote[193].speaker |
SPEAKER_11 |
transcript.pyannote[193].start |
2974.50284375 |
transcript.pyannote[193].end |
2976.27471875 |
transcript.pyannote[194].speaker |
SPEAKER_11 |
transcript.pyannote[194].start |
2976.88221875 |
transcript.pyannote[194].end |
2983.31159375 |
transcript.pyannote[195].speaker |
SPEAKER_11 |
transcript.pyannote[195].start |
2983.75034375 |
transcript.pyannote[195].end |
3004.94534375 |
transcript.pyannote[196].speaker |
SPEAKER_11 |
transcript.pyannote[196].start |
3005.24909375 |
transcript.pyannote[196].end |
3008.52284375 |
transcript.pyannote[197].speaker |
SPEAKER_11 |
transcript.pyannote[197].start |
3008.99534375 |
transcript.pyannote[197].end |
3015.89721875 |
transcript.pyannote[198].speaker |
SPEAKER_11 |
transcript.pyannote[198].start |
3016.60596875 |
transcript.pyannote[198].end |
3033.05909375 |
transcript.pyannote[199].speaker |
SPEAKER_11 |
transcript.pyannote[199].start |
3033.31221875 |
transcript.pyannote[199].end |
3056.73471875 |
transcript.pyannote[200].speaker |
SPEAKER_05 |
transcript.pyannote[200].start |
3058.77659375 |
transcript.pyannote[200].end |
3061.32471875 |
transcript.pyannote[201].speaker |
SPEAKER_05 |
transcript.pyannote[201].start |
3061.78034375 |
transcript.pyannote[201].end |
3065.64471875 |
transcript.pyannote[202].speaker |
SPEAKER_05 |
transcript.pyannote[202].start |
3066.62346875 |
transcript.pyannote[202].end |
3067.92284375 |
transcript.pyannote[203].speaker |
SPEAKER_05 |
transcript.pyannote[203].start |
3068.26034375 |
transcript.pyannote[203].end |
3078.60471875 |
transcript.pyannote[204].speaker |
SPEAKER_05 |
transcript.pyannote[204].start |
3078.77346875 |
transcript.pyannote[204].end |
3081.42284375 |
transcript.pyannote[205].speaker |
SPEAKER_05 |
transcript.pyannote[205].start |
3081.65909375 |
transcript.pyannote[205].end |
3086.02971875 |
transcript.pyannote[206].speaker |
SPEAKER_05 |
transcript.pyannote[206].start |
3086.63721875 |
transcript.pyannote[206].end |
3095.05784375 |
transcript.pyannote[207].speaker |
SPEAKER_05 |
transcript.pyannote[207].start |
3095.26034375 |
transcript.pyannote[207].end |
3105.75659375 |
transcript.pyannote[208].speaker |
SPEAKER_31 |
transcript.pyannote[208].start |
3115.66221875 |
transcript.pyannote[208].end |
3118.83471875 |
transcript.pyannote[209].speaker |
SPEAKER_31 |
transcript.pyannote[209].start |
3119.25659375 |
transcript.pyannote[209].end |
3128.03159375 |
transcript.pyannote[210].speaker |
SPEAKER_31 |
transcript.pyannote[210].start |
3130.57971875 |
transcript.pyannote[210].end |
3131.13659375 |
transcript.pyannote[211].speaker |
SPEAKER_31 |
transcript.pyannote[211].start |
3131.71034375 |
transcript.pyannote[211].end |
3132.18284375 |
transcript.pyannote[212].speaker |
SPEAKER_31 |
transcript.pyannote[212].start |
3133.12784375 |
transcript.pyannote[212].end |
3134.81534375 |
transcript.pyannote[213].speaker |
SPEAKER_31 |
transcript.pyannote[213].start |
3134.96721875 |
transcript.pyannote[213].end |
3138.30846875 |
transcript.pyannote[214].speaker |
SPEAKER_31 |
transcript.pyannote[214].start |
3138.59534375 |
transcript.pyannote[214].end |
3145.69971875 |
transcript.pyannote[215].speaker |
SPEAKER_31 |
transcript.pyannote[215].start |
3146.22284375 |
transcript.pyannote[215].end |
3151.63971875 |
transcript.pyannote[216].speaker |
SPEAKER_22 |
transcript.pyannote[216].start |
3151.63971875 |
transcript.pyannote[216].end |
3151.92659375 |
transcript.pyannote[217].speaker |
SPEAKER_31 |
transcript.pyannote[217].start |
3151.92659375 |
transcript.pyannote[217].end |
3154.49159375 |
transcript.pyannote[218].speaker |
SPEAKER_31 |
transcript.pyannote[218].start |
3154.89659375 |
transcript.pyannote[218].end |
3157.37721875 |
transcript.pyannote[219].speaker |
SPEAKER_31 |
transcript.pyannote[219].start |
3157.64721875 |
transcript.pyannote[219].end |
3159.73971875 |
transcript.pyannote[220].speaker |
SPEAKER_31 |
transcript.pyannote[220].start |
3160.31346875 |
transcript.pyannote[220].end |
3162.13596875 |
transcript.pyannote[221].speaker |
SPEAKER_31 |
transcript.pyannote[221].start |
3162.69284375 |
transcript.pyannote[221].end |
3167.73846875 |
transcript.pyannote[222].speaker |
SPEAKER_22 |
transcript.pyannote[222].start |
3168.02534375 |
transcript.pyannote[222].end |
3168.07596875 |
transcript.pyannote[223].speaker |
SPEAKER_31 |
transcript.pyannote[223].start |
3168.07596875 |
transcript.pyannote[223].end |
3168.75096875 |
transcript.pyannote[224].speaker |
SPEAKER_31 |
transcript.pyannote[224].start |
3169.27409375 |
transcript.pyannote[224].end |
3177.69471875 |
transcript.pyannote[225].speaker |
SPEAKER_27 |
transcript.pyannote[225].start |
3177.77909375 |
transcript.pyannote[225].end |
3177.82971875 |
transcript.pyannote[226].speaker |
SPEAKER_22 |
transcript.pyannote[226].start |
3177.82971875 |
transcript.pyannote[226].end |
3178.11659375 |
transcript.pyannote[227].speaker |
SPEAKER_31 |
transcript.pyannote[227].start |
3178.11659375 |
transcript.pyannote[227].end |
3178.80846875 |
transcript.pyannote[228].speaker |
SPEAKER_31 |
transcript.pyannote[228].start |
3179.53409375 |
transcript.pyannote[228].end |
3181.22159375 |
transcript.pyannote[229].speaker |
SPEAKER_31 |
transcript.pyannote[229].start |
3182.21721875 |
transcript.pyannote[229].end |
3185.60909375 |
transcript.pyannote[230].speaker |
SPEAKER_31 |
transcript.pyannote[230].start |
3185.92971875 |
transcript.pyannote[230].end |
3190.80659375 |
transcript.pyannote[231].speaker |
SPEAKER_31 |
transcript.pyannote[231].start |
3191.31284375 |
transcript.pyannote[231].end |
3193.84409375 |
transcript.pyannote[232].speaker |
SPEAKER_31 |
transcript.pyannote[232].start |
3194.24909375 |
transcript.pyannote[232].end |
3197.64096875 |
transcript.pyannote[233].speaker |
SPEAKER_31 |
transcript.pyannote[233].start |
3197.99534375 |
transcript.pyannote[233].end |
3200.47596875 |
transcript.pyannote[234].speaker |
SPEAKER_31 |
transcript.pyannote[234].start |
3201.01596875 |
transcript.pyannote[234].end |
3209.67284375 |
transcript.pyannote[235].speaker |
SPEAKER_31 |
transcript.pyannote[235].start |
3210.12846875 |
transcript.pyannote[235].end |
3213.43596875 |
transcript.pyannote[236].speaker |
SPEAKER_31 |
transcript.pyannote[236].start |
3214.07721875 |
transcript.pyannote[236].end |
3233.68596875 |
transcript.pyannote[237].speaker |
SPEAKER_31 |
transcript.pyannote[237].start |
3234.47909375 |
transcript.pyannote[237].end |
3244.11471875 |
transcript.pyannote[238].speaker |
SPEAKER_31 |
transcript.pyannote[238].start |
3244.50284375 |
transcript.pyannote[238].end |
3247.74284375 |
transcript.pyannote[239].speaker |
SPEAKER_31 |
transcript.pyannote[239].start |
3248.38409375 |
transcript.pyannote[239].end |
3250.24034375 |
transcript.pyannote[240].speaker |
SPEAKER_31 |
transcript.pyannote[240].start |
3250.61159375 |
transcript.pyannote[240].end |
3251.33721875 |
transcript.pyannote[241].speaker |
SPEAKER_31 |
transcript.pyannote[241].start |
3251.92784375 |
transcript.pyannote[241].end |
3254.47596875 |
transcript.pyannote[242].speaker |
SPEAKER_31 |
transcript.pyannote[242].start |
3255.08346875 |
transcript.pyannote[242].end |
3257.98596875 |
transcript.pyannote[243].speaker |
SPEAKER_31 |
transcript.pyannote[243].start |
3258.25596875 |
transcript.pyannote[243].end |
3264.11159375 |
transcript.pyannote[244].speaker |
SPEAKER_31 |
transcript.pyannote[244].start |
3264.68534375 |
transcript.pyannote[244].end |
3270.28784375 |
transcript.pyannote[245].speaker |
SPEAKER_31 |
transcript.pyannote[245].start |
3271.65471875 |
transcript.pyannote[245].end |
3285.62721875 |
transcript.pyannote[246].speaker |
SPEAKER_31 |
transcript.pyannote[246].start |
3285.94784375 |
transcript.pyannote[246].end |
3297.94596875 |
transcript.pyannote[247].speaker |
SPEAKER_31 |
transcript.pyannote[247].start |
3298.43534375 |
transcript.pyannote[247].end |
3300.96659375 |
transcript.pyannote[248].speaker |
SPEAKER_31 |
transcript.pyannote[248].start |
3301.23659375 |
transcript.pyannote[248].end |
3311.80034375 |
transcript.pyannote[249].speaker |
SPEAKER_31 |
transcript.pyannote[249].start |
3311.95221875 |
transcript.pyannote[249].end |
3322.78596875 |
transcript.pyannote[250].speaker |
SPEAKER_22 |
transcript.pyannote[250].start |
3323.07284375 |
transcript.pyannote[250].end |
3323.08971875 |
transcript.pyannote[251].speaker |
SPEAKER_31 |
transcript.pyannote[251].start |
3323.08971875 |
transcript.pyannote[251].end |
3328.45596875 |
transcript.pyannote[252].speaker |
SPEAKER_31 |
transcript.pyannote[252].start |
3328.64159375 |
transcript.pyannote[252].end |
3334.66596875 |
transcript.pyannote[253].speaker |
SPEAKER_31 |
transcript.pyannote[253].start |
3334.93596875 |
transcript.pyannote[253].end |
3337.80471875 |
transcript.pyannote[254].speaker |
SPEAKER_31 |
transcript.pyannote[254].start |
3337.85534375 |
transcript.pyannote[254].end |
3337.88909375 |
transcript.pyannote[255].speaker |
SPEAKER_31 |
transcript.pyannote[255].start |
3338.15909375 |
transcript.pyannote[255].end |
3344.38596875 |
transcript.pyannote[256].speaker |
SPEAKER_31 |
transcript.pyannote[256].start |
3344.94284375 |
transcript.pyannote[256].end |
3346.66409375 |
transcript.pyannote[257].speaker |
SPEAKER_31 |
transcript.pyannote[257].start |
3347.92971875 |
transcript.pyannote[257].end |
3350.59596875 |
transcript.pyannote[258].speaker |
SPEAKER_31 |
transcript.pyannote[258].start |
3351.32159375 |
transcript.pyannote[258].end |
3356.80596875 |
transcript.pyannote[259].speaker |
SPEAKER_31 |
transcript.pyannote[259].start |
3356.95784375 |
transcript.pyannote[259].end |
3360.51846875 |
transcript.pyannote[260].speaker |
SPEAKER_31 |
transcript.pyannote[260].start |
3360.65346875 |
transcript.pyannote[260].end |
3365.47971875 |
transcript.pyannote[261].speaker |
SPEAKER_31 |
transcript.pyannote[261].start |
3366.05346875 |
transcript.pyannote[261].end |
3380.17784375 |
transcript.pyannote[262].speaker |
SPEAKER_31 |
transcript.pyannote[262].start |
3380.44784375 |
transcript.pyannote[262].end |
3381.05534375 |
transcript.pyannote[263].speaker |
SPEAKER_31 |
transcript.pyannote[263].start |
3381.51096875 |
transcript.pyannote[263].end |
3382.91159375 |
transcript.pyannote[264].speaker |
SPEAKER_31 |
transcript.pyannote[264].start |
3383.50221875 |
transcript.pyannote[264].end |
3384.37971875 |
transcript.pyannote[265].speaker |
SPEAKER_31 |
transcript.pyannote[265].start |
3384.68346875 |
transcript.pyannote[265].end |
3386.57346875 |
transcript.pyannote[266].speaker |
SPEAKER_31 |
transcript.pyannote[266].start |
3386.75909375 |
transcript.pyannote[266].end |
3388.36221875 |
transcript.pyannote[267].speaker |
SPEAKER_31 |
transcript.pyannote[267].start |
3389.15534375 |
transcript.pyannote[267].end |
3394.53846875 |
transcript.pyannote[268].speaker |
SPEAKER_31 |
transcript.pyannote[268].start |
3394.80846875 |
transcript.pyannote[268].end |
3401.47409375 |
transcript.pyannote[269].speaker |
SPEAKER_31 |
transcript.pyannote[269].start |
3402.06471875 |
transcript.pyannote[269].end |
3405.59159375 |
transcript.pyannote[270].speaker |
SPEAKER_31 |
transcript.pyannote[270].start |
3406.18221875 |
transcript.pyannote[270].end |
3411.39659375 |
transcript.pyannote[271].speaker |
SPEAKER_31 |
transcript.pyannote[271].start |
3411.61596875 |
transcript.pyannote[271].end |
3415.34534375 |
transcript.pyannote[272].speaker |
SPEAKER_31 |
transcript.pyannote[272].start |
3416.08784375 |
transcript.pyannote[272].end |
3422.66909375 |
transcript.pyannote[273].speaker |
SPEAKER_11 |
transcript.pyannote[273].start |
3424.69409375 |
transcript.pyannote[273].end |
3426.06096875 |
transcript.pyannote[274].speaker |
SPEAKER_11 |
transcript.pyannote[274].start |
3426.44909375 |
transcript.pyannote[274].end |
3427.24221875 |
transcript.pyannote[275].speaker |
SPEAKER_11 |
transcript.pyannote[275].start |
3427.49534375 |
transcript.pyannote[275].end |
3431.30909375 |
transcript.pyannote[276].speaker |
SPEAKER_11 |
transcript.pyannote[276].start |
3431.66346875 |
transcript.pyannote[276].end |
3442.54784375 |
transcript.pyannote[277].speaker |
SPEAKER_31 |
transcript.pyannote[277].start |
3441.87284375 |
transcript.pyannote[277].end |
3443.37471875 |
transcript.pyannote[278].speaker |
SPEAKER_11 |
transcript.pyannote[278].start |
3443.03721875 |
transcript.pyannote[278].end |
3456.08159375 |
transcript.pyannote[279].speaker |
SPEAKER_31 |
transcript.pyannote[279].start |
3453.26346875 |
transcript.pyannote[279].end |
3453.75284375 |
transcript.pyannote[280].speaker |
SPEAKER_31 |
transcript.pyannote[280].start |
3454.56284375 |
transcript.pyannote[280].end |
3463.01721875 |
transcript.pyannote[281].speaker |
SPEAKER_31 |
transcript.pyannote[281].start |
3463.32096875 |
transcript.pyannote[281].end |
3466.56096875 |
transcript.pyannote[282].speaker |
SPEAKER_31 |
transcript.pyannote[282].start |
3467.28659375 |
transcript.pyannote[282].end |
3469.19346875 |
transcript.pyannote[283].speaker |
SPEAKER_31 |
transcript.pyannote[283].start |
3469.95284375 |
transcript.pyannote[283].end |
3480.26346875 |
transcript.pyannote[284].speaker |
SPEAKER_31 |
transcript.pyannote[284].start |
3480.85409375 |
transcript.pyannote[284].end |
3480.87096875 |
transcript.pyannote[285].speaker |
SPEAKER_11 |
transcript.pyannote[285].start |
3480.87096875 |
transcript.pyannote[285].end |
3490.48971875 |
transcript.pyannote[286].speaker |
SPEAKER_31 |
transcript.pyannote[286].start |
3490.48971875 |
transcript.pyannote[286].end |
3490.55721875 |
transcript.pyannote[287].speaker |
SPEAKER_31 |
transcript.pyannote[287].start |
3490.91159375 |
transcript.pyannote[287].end |
3508.47846875 |
transcript.pyannote[288].speaker |
SPEAKER_00 |
transcript.pyannote[288].start |
3499.36596875 |
transcript.pyannote[288].end |
3499.73721875 |
transcript.pyannote[289].speaker |
SPEAKER_31 |
transcript.pyannote[289].start |
3509.62596875 |
transcript.pyannote[289].end |
3514.89096875 |
transcript.pyannote[290].speaker |
SPEAKER_31 |
transcript.pyannote[290].start |
3514.92471875 |
transcript.pyannote[290].end |
3523.51409375 |
transcript.pyannote[291].speaker |
SPEAKER_31 |
transcript.pyannote[291].start |
3523.96971875 |
transcript.pyannote[291].end |
3524.94846875 |
transcript.pyannote[292].speaker |
SPEAKER_31 |
transcript.pyannote[292].start |
3525.33659375 |
transcript.pyannote[292].end |
3525.91034375 |
transcript.pyannote[293].speaker |
SPEAKER_31 |
transcript.pyannote[293].start |
3526.70346875 |
transcript.pyannote[293].end |
3527.36159375 |
transcript.pyannote[294].speaker |
SPEAKER_31 |
transcript.pyannote[294].start |
3527.51346875 |
transcript.pyannote[294].end |
3532.94721875 |
transcript.pyannote[295].speaker |
SPEAKER_11 |
transcript.pyannote[295].start |
3533.20034375 |
transcript.pyannote[295].end |
3544.35471875 |
transcript.pyannote[296].speaker |
SPEAKER_11 |
transcript.pyannote[296].start |
3544.69221875 |
transcript.pyannote[296].end |
3550.80096875 |
transcript.pyannote[297].speaker |
SPEAKER_11 |
transcript.pyannote[297].start |
3550.88534375 |
transcript.pyannote[297].end |
3570.08909375 |
transcript.pyannote[298].speaker |
SPEAKER_11 |
transcript.pyannote[298].start |
3570.62909375 |
transcript.pyannote[298].end |
3571.03409375 |
transcript.pyannote[299].speaker |
SPEAKER_31 |
transcript.pyannote[299].start |
3571.03409375 |
transcript.pyannote[299].end |
3575.74221875 |
transcript.pyannote[300].speaker |
SPEAKER_31 |
transcript.pyannote[300].start |
3575.87721875 |
transcript.pyannote[300].end |
3579.99471875 |
transcript.pyannote[301].speaker |
SPEAKER_31 |
transcript.pyannote[301].start |
3580.63596875 |
transcript.pyannote[301].end |
3581.90159375 |
transcript.pyannote[302].speaker |
SPEAKER_31 |
transcript.pyannote[302].start |
3582.39096875 |
transcript.pyannote[302].end |
3599.02971875 |
transcript.pyannote[303].speaker |
SPEAKER_31 |
transcript.pyannote[303].start |
3599.31659375 |
transcript.pyannote[303].end |
3602.67471875 |
transcript.pyannote[304].speaker |
SPEAKER_31 |
transcript.pyannote[304].start |
3602.91096875 |
transcript.pyannote[304].end |
3605.12159375 |
transcript.pyannote[305].speaker |
SPEAKER_31 |
transcript.pyannote[305].start |
3606.38721875 |
transcript.pyannote[305].end |
3606.62346875 |
transcript.pyannote[306].speaker |
SPEAKER_31 |
transcript.pyannote[306].start |
3607.16346875 |
transcript.pyannote[306].end |
3615.39846875 |
transcript.pyannote[307].speaker |
SPEAKER_31 |
transcript.pyannote[307].start |
3615.80346875 |
transcript.pyannote[307].end |
3618.41909375 |
transcript.pyannote[308].speaker |
SPEAKER_31 |
transcript.pyannote[308].start |
3619.17846875 |
transcript.pyannote[308].end |
3626.24909375 |
transcript.pyannote[309].speaker |
SPEAKER_31 |
transcript.pyannote[309].start |
3626.43471875 |
transcript.pyannote[309].end |
3635.47971875 |
transcript.pyannote[310].speaker |
SPEAKER_31 |
transcript.pyannote[310].start |
3636.12096875 |
transcript.pyannote[310].end |
3636.98159375 |
transcript.pyannote[311].speaker |
SPEAKER_11 |
transcript.pyannote[311].start |
3637.50471875 |
transcript.pyannote[311].end |
3644.13659375 |
transcript.pyannote[312].speaker |
SPEAKER_31 |
transcript.pyannote[312].start |
3643.95096875 |
transcript.pyannote[312].end |
3648.32159375 |
transcript.pyannote[313].speaker |
SPEAKER_31 |
transcript.pyannote[313].start |
3648.72659375 |
transcript.pyannote[313].end |
3650.85284375 |
transcript.pyannote[314].speaker |
SPEAKER_11 |
transcript.pyannote[314].start |
3651.27471875 |
transcript.pyannote[314].end |
3670.02284375 |
transcript.pyannote[315].speaker |
SPEAKER_31 |
transcript.pyannote[315].start |
3670.02284375 |
transcript.pyannote[315].end |
3673.43159375 |
transcript.pyannote[316].speaker |
SPEAKER_31 |
transcript.pyannote[316].start |
3675.81096875 |
transcript.pyannote[316].end |
3681.88596875 |
transcript.pyannote[317].speaker |
SPEAKER_31 |
transcript.pyannote[317].start |
3682.37534375 |
transcript.pyannote[317].end |
3684.80534375 |
transcript.pyannote[318].speaker |
SPEAKER_31 |
transcript.pyannote[318].start |
3685.42971875 |
transcript.pyannote[318].end |
3695.25096875 |
transcript.pyannote[319].speaker |
SPEAKER_31 |
transcript.pyannote[319].start |
3695.48721875 |
transcript.pyannote[319].end |
3698.60909375 |
transcript.pyannote[320].speaker |
SPEAKER_31 |
transcript.pyannote[320].start |
3698.87909375 |
transcript.pyannote[320].end |
3713.62784375 |
transcript.pyannote[321].speaker |
SPEAKER_31 |
transcript.pyannote[321].start |
3714.48846875 |
transcript.pyannote[321].end |
3728.93346875 |
transcript.pyannote[322].speaker |
SPEAKER_31 |
transcript.pyannote[322].start |
3728.96721875 |
transcript.pyannote[322].end |
3735.02534375 |
transcript.pyannote[323].speaker |
SPEAKER_31 |
transcript.pyannote[323].start |
3735.36284375 |
transcript.pyannote[323].end |
3738.53534375 |
transcript.pyannote[324].speaker |
SPEAKER_31 |
transcript.pyannote[324].start |
3739.14284375 |
transcript.pyannote[324].end |
3741.74159375 |
transcript.pyannote[325].speaker |
SPEAKER_31 |
transcript.pyannote[325].start |
3742.24784375 |
transcript.pyannote[325].end |
3744.28971875 |
transcript.pyannote[326].speaker |
SPEAKER_31 |
transcript.pyannote[326].start |
3744.62721875 |
transcript.pyannote[326].end |
3748.87971875 |
transcript.pyannote[327].speaker |
SPEAKER_31 |
transcript.pyannote[327].start |
3749.89221875 |
transcript.pyannote[327].end |
3751.25909375 |
transcript.pyannote[328].speaker |
SPEAKER_31 |
transcript.pyannote[328].start |
3752.10284375 |
transcript.pyannote[328].end |
3755.51159375 |
transcript.pyannote[329].speaker |
SPEAKER_31 |
transcript.pyannote[329].start |
3755.79846875 |
transcript.pyannote[329].end |
3761.18159375 |
transcript.pyannote[330].speaker |
SPEAKER_07 |
transcript.pyannote[330].start |
3761.18159375 |
transcript.pyannote[330].end |
3796.33221875 |
transcript.pyannote[331].speaker |
SPEAKER_31 |
transcript.pyannote[331].start |
3794.66159375 |
transcript.pyannote[331].end |
3794.99909375 |
transcript.pyannote[332].speaker |
SPEAKER_31 |
transcript.pyannote[332].start |
3796.33221875 |
transcript.pyannote[332].end |
3810.55784375 |
transcript.pyannote[333].speaker |
SPEAKER_31 |
transcript.pyannote[333].start |
3810.96284375 |
transcript.pyannote[333].end |
3814.10159375 |
transcript.pyannote[334].speaker |
SPEAKER_31 |
transcript.pyannote[334].start |
3814.20284375 |
transcript.pyannote[334].end |
3827.77034375 |
transcript.pyannote[335].speaker |
SPEAKER_31 |
transcript.pyannote[335].start |
3828.81659375 |
transcript.pyannote[335].end |
3829.62659375 |
transcript.pyannote[336].speaker |
SPEAKER_31 |
transcript.pyannote[336].start |
3830.38596875 |
transcript.pyannote[336].end |
3834.99284375 |
transcript.pyannote[337].speaker |
SPEAKER_31 |
transcript.pyannote[337].start |
3835.49909375 |
transcript.pyannote[337].end |
3846.65346875 |
transcript.pyannote[338].speaker |
SPEAKER_31 |
transcript.pyannote[338].start |
3846.70409375 |
transcript.pyannote[338].end |
3848.72909375 |
transcript.pyannote[339].speaker |
SPEAKER_31 |
transcript.pyannote[339].start |
3849.74159375 |
transcript.pyannote[339].end |
3856.45784375 |
transcript.pyannote[340].speaker |
SPEAKER_31 |
transcript.pyannote[340].start |
3856.77846875 |
transcript.pyannote[340].end |
3857.67284375 |
transcript.pyannote[341].speaker |
SPEAKER_31 |
transcript.pyannote[341].start |
3858.36471875 |
transcript.pyannote[341].end |
3858.88784375 |
transcript.pyannote[342].speaker |
SPEAKER_31 |
transcript.pyannote[342].start |
3860.00159375 |
transcript.pyannote[342].end |
3865.11471875 |
transcript.pyannote[343].speaker |
SPEAKER_31 |
transcript.pyannote[343].start |
3865.46909375 |
transcript.pyannote[343].end |
3870.34596875 |
transcript.pyannote[344].speaker |
SPEAKER_22 |
transcript.pyannote[344].start |
3868.38846875 |
transcript.pyannote[344].end |
3868.57409375 |
transcript.pyannote[345].speaker |
SPEAKER_22 |
transcript.pyannote[345].start |
3870.34596875 |
transcript.pyannote[345].end |
3870.64971875 |
transcript.pyannote[346].speaker |
SPEAKER_31 |
transcript.pyannote[346].start |
3870.64971875 |
transcript.pyannote[346].end |
3876.79221875 |
transcript.pyannote[347].speaker |
SPEAKER_31 |
transcript.pyannote[347].start |
3877.09596875 |
transcript.pyannote[347].end |
3882.61409375 |
transcript.pyannote[348].speaker |
SPEAKER_31 |
transcript.pyannote[348].start |
3883.13721875 |
transcript.pyannote[348].end |
3916.12784375 |
transcript.pyannote[349].speaker |
SPEAKER_31 |
transcript.pyannote[349].start |
3916.44846875 |
transcript.pyannote[349].end |
3919.18221875 |
transcript.pyannote[350].speaker |
SPEAKER_07 |
transcript.pyannote[350].start |
3919.18221875 |
transcript.pyannote[350].end |
3929.64471875 |
transcript.pyannote[351].speaker |
SPEAKER_05 |
transcript.pyannote[351].start |
3930.01596875 |
transcript.pyannote[351].end |
3941.38971875 |
transcript.pyannote[352].speaker |
SPEAKER_05 |
transcript.pyannote[352].start |
3941.84534375 |
transcript.pyannote[352].end |
3945.91221875 |
transcript.pyannote[353].speaker |
SPEAKER_05 |
transcript.pyannote[353].start |
3946.92471875 |
transcript.pyannote[353].end |
3952.74659375 |
transcript.pyannote[354].speaker |
SPEAKER_13 |
transcript.pyannote[354].start |
3961.50471875 |
transcript.pyannote[354].end |
3963.79971875 |
transcript.pyannote[355].speaker |
SPEAKER_05 |
transcript.pyannote[355].start |
3964.27221875 |
transcript.pyannote[355].end |
3964.33971875 |
transcript.pyannote[356].speaker |
SPEAKER_13 |
transcript.pyannote[356].start |
3964.33971875 |
transcript.pyannote[356].end |
3964.35659375 |
transcript.pyannote[357].speaker |
SPEAKER_05 |
transcript.pyannote[357].start |
3964.35659375 |
transcript.pyannote[357].end |
3964.42409375 |
transcript.pyannote[358].speaker |
SPEAKER_13 |
transcript.pyannote[358].start |
3964.42409375 |
transcript.pyannote[358].end |
3967.05659375 |
transcript.pyannote[359].speaker |
SPEAKER_05 |
transcript.pyannote[359].start |
3967.05659375 |
transcript.pyannote[359].end |
3967.30971875 |
transcript.pyannote[360].speaker |
SPEAKER_13 |
transcript.pyannote[360].start |
3967.30971875 |
transcript.pyannote[360].end |
3968.52471875 |
transcript.pyannote[361].speaker |
SPEAKER_05 |
transcript.pyannote[361].start |
3968.59221875 |
transcript.pyannote[361].end |
3969.48659375 |
transcript.pyannote[362].speaker |
SPEAKER_05 |
transcript.pyannote[362].start |
3970.22909375 |
transcript.pyannote[362].end |
3972.45659375 |
transcript.pyannote[363].speaker |
SPEAKER_14 |
transcript.pyannote[363].start |
3981.56909375 |
transcript.pyannote[363].end |
3989.43284375 |
transcript.pyannote[364].speaker |
SPEAKER_14 |
transcript.pyannote[364].start |
3990.07409375 |
transcript.pyannote[364].end |
3996.03096875 |
transcript.pyannote[365].speaker |
SPEAKER_14 |
transcript.pyannote[365].start |
3996.79034375 |
transcript.pyannote[365].end |
4013.29409375 |
transcript.pyannote[366].speaker |
SPEAKER_14 |
transcript.pyannote[366].start |
4013.58096875 |
transcript.pyannote[366].end |
4016.29784375 |
transcript.pyannote[367].speaker |
SPEAKER_11 |
transcript.pyannote[367].start |
4017.15846875 |
transcript.pyannote[367].end |
4028.58284375 |
transcript.pyannote[368].speaker |
SPEAKER_14 |
transcript.pyannote[368].start |
4028.05971875 |
transcript.pyannote[368].end |
4030.43909375 |
transcript.pyannote[369].speaker |
SPEAKER_14 |
transcript.pyannote[369].start |
4031.11409375 |
transcript.pyannote[369].end |
4032.00846875 |
transcript.pyannote[370].speaker |
SPEAKER_14 |
transcript.pyannote[370].start |
4032.51471875 |
transcript.pyannote[370].end |
4035.19784375 |
transcript.pyannote[371].speaker |
SPEAKER_11 |
transcript.pyannote[371].start |
4036.51409375 |
transcript.pyannote[371].end |
4037.12159375 |
transcript.pyannote[372].speaker |
SPEAKER_14 |
transcript.pyannote[372].start |
4037.12159375 |
transcript.pyannote[372].end |
4038.26909375 |
transcript.pyannote[373].speaker |
SPEAKER_11 |
transcript.pyannote[373].start |
4038.50534375 |
transcript.pyannote[373].end |
4038.89346875 |
transcript.pyannote[374].speaker |
SPEAKER_14 |
transcript.pyannote[374].start |
4039.51784375 |
transcript.pyannote[374].end |
4040.91846875 |
transcript.pyannote[375].speaker |
SPEAKER_14 |
transcript.pyannote[375].start |
4041.35721875 |
transcript.pyannote[375].end |
4042.80846875 |
transcript.pyannote[376].speaker |
SPEAKER_11 |
transcript.pyannote[376].start |
4043.58471875 |
transcript.pyannote[376].end |
4043.88846875 |
transcript.pyannote[377].speaker |
SPEAKER_14 |
transcript.pyannote[377].start |
4044.22596875 |
transcript.pyannote[377].end |
4045.33971875 |
transcript.pyannote[378].speaker |
SPEAKER_14 |
transcript.pyannote[378].start |
4045.62659375 |
transcript.pyannote[378].end |
4047.09471875 |
transcript.pyannote[379].speaker |
SPEAKER_11 |
transcript.pyannote[379].start |
4047.87096875 |
transcript.pyannote[379].end |
4051.76909375 |
transcript.pyannote[380].speaker |
SPEAKER_14 |
transcript.pyannote[380].start |
4053.60846875 |
transcript.pyannote[380].end |
4056.91596875 |
transcript.pyannote[381].speaker |
SPEAKER_14 |
transcript.pyannote[381].start |
4057.40534375 |
transcript.pyannote[381].end |
4060.86471875 |
transcript.pyannote[382].speaker |
SPEAKER_14 |
transcript.pyannote[382].start |
4061.53971875 |
transcript.pyannote[382].end |
4062.21471875 |
transcript.pyannote[383].speaker |
SPEAKER_14 |
transcript.pyannote[383].start |
4062.75471875 |
transcript.pyannote[383].end |
4063.66596875 |
transcript.pyannote[384].speaker |
SPEAKER_14 |
transcript.pyannote[384].start |
4064.35784375 |
transcript.pyannote[384].end |
4065.20159375 |
transcript.pyannote[385].speaker |
SPEAKER_14 |
transcript.pyannote[385].start |
4065.64034375 |
transcript.pyannote[385].end |
4066.85534375 |
transcript.pyannote[386].speaker |
SPEAKER_14 |
transcript.pyannote[386].start |
4067.31096875 |
transcript.pyannote[386].end |
4068.12096875 |
transcript.pyannote[387].speaker |
SPEAKER_11 |
transcript.pyannote[387].start |
4069.23471875 |
transcript.pyannote[387].end |
4072.39034375 |
transcript.pyannote[388].speaker |
SPEAKER_14 |
transcript.pyannote[388].start |
4073.58846875 |
transcript.pyannote[388].end |
4074.87096875 |
transcript.pyannote[389].speaker |
SPEAKER_14 |
transcript.pyannote[389].start |
4075.25909375 |
transcript.pyannote[389].end |
4076.50784375 |
transcript.pyannote[390].speaker |
SPEAKER_14 |
transcript.pyannote[390].start |
4077.40221875 |
transcript.pyannote[390].end |
4078.14471875 |
transcript.pyannote[391].speaker |
SPEAKER_14 |
transcript.pyannote[391].start |
4079.64659375 |
transcript.pyannote[391].end |
4082.09346875 |
transcript.pyannote[392].speaker |
SPEAKER_14 |
transcript.pyannote[392].start |
4082.78534375 |
transcript.pyannote[392].end |
4085.01284375 |
transcript.pyannote[393].speaker |
SPEAKER_14 |
transcript.pyannote[393].start |
4085.67096875 |
transcript.pyannote[393].end |
4086.49784375 |
transcript.pyannote[394].speaker |
SPEAKER_14 |
transcript.pyannote[394].start |
4087.15596875 |
transcript.pyannote[394].end |
4088.55659375 |
transcript.pyannote[395].speaker |
SPEAKER_14 |
transcript.pyannote[395].start |
4089.43409375 |
transcript.pyannote[395].end |
4090.88534375 |
transcript.pyannote[396].speaker |
SPEAKER_11 |
transcript.pyannote[396].start |
4091.25659375 |
transcript.pyannote[396].end |
4091.86409375 |
transcript.pyannote[397].speaker |
SPEAKER_14 |
transcript.pyannote[397].start |
4091.86409375 |
transcript.pyannote[397].end |
4091.91471875 |
transcript.pyannote[398].speaker |
SPEAKER_14 |
transcript.pyannote[398].start |
4093.04534375 |
transcript.pyannote[398].end |
4095.13784375 |
transcript.pyannote[399].speaker |
SPEAKER_14 |
transcript.pyannote[399].start |
4095.67784375 |
transcript.pyannote[399].end |
4097.90534375 |
transcript.pyannote[400].speaker |
SPEAKER_11 |
transcript.pyannote[400].start |
4098.69846875 |
transcript.pyannote[400].end |
4104.84096875 |
transcript.pyannote[401].speaker |
SPEAKER_14 |
transcript.pyannote[401].start |
4105.00971875 |
transcript.pyannote[401].end |
4105.02659375 |
transcript.pyannote[402].speaker |
SPEAKER_13 |
transcript.pyannote[402].start |
4105.02659375 |
transcript.pyannote[402].end |
4106.02221875 |
transcript.pyannote[403].speaker |
SPEAKER_11 |
transcript.pyannote[403].start |
4106.29221875 |
transcript.pyannote[403].end |
4108.55346875 |
transcript.pyannote[404].speaker |
SPEAKER_13 |
transcript.pyannote[404].start |
4108.55346875 |
transcript.pyannote[404].end |
4108.95846875 |
transcript.pyannote[405].speaker |
SPEAKER_22 |
transcript.pyannote[405].start |
4108.95846875 |
transcript.pyannote[405].end |
4108.97534375 |
transcript.pyannote[406].speaker |
SPEAKER_11 |
transcript.pyannote[406].start |
4109.39721875 |
transcript.pyannote[406].end |
4112.02971875 |
transcript.pyannote[407].speaker |
SPEAKER_11 |
transcript.pyannote[407].start |
4112.82284375 |
transcript.pyannote[407].end |
4115.97846875 |
transcript.pyannote[408].speaker |
SPEAKER_14 |
transcript.pyannote[408].start |
4116.61971875 |
transcript.pyannote[408].end |
4117.75034375 |
transcript.pyannote[409].speaker |
SPEAKER_14 |
transcript.pyannote[409].start |
4118.52659375 |
transcript.pyannote[409].end |
4121.09159375 |
transcript.pyannote[410].speaker |
SPEAKER_11 |
transcript.pyannote[410].start |
4121.14221875 |
transcript.pyannote[410].end |
4122.49221875 |
transcript.pyannote[411].speaker |
SPEAKER_14 |
transcript.pyannote[411].start |
4122.25596875 |
transcript.pyannote[411].end |
4123.84221875 |
transcript.pyannote[412].speaker |
SPEAKER_11 |
transcript.pyannote[412].start |
4123.85909375 |
transcript.pyannote[412].end |
4124.53409375 |
transcript.pyannote[413].speaker |
SPEAKER_14 |
transcript.pyannote[413].start |
4124.66909375 |
transcript.pyannote[413].end |
4129.02284375 |
transcript.pyannote[414].speaker |
SPEAKER_11 |
transcript.pyannote[414].start |
4129.81596875 |
transcript.pyannote[414].end |
4134.70971875 |
transcript.pyannote[415].speaker |
SPEAKER_14 |
transcript.pyannote[415].start |
4135.72221875 |
transcript.pyannote[415].end |
4136.71784375 |
transcript.pyannote[416].speaker |
SPEAKER_14 |
transcript.pyannote[416].start |
4137.27471875 |
transcript.pyannote[416].end |
4143.02909375 |
transcript.pyannote[417].speaker |
SPEAKER_14 |
transcript.pyannote[417].start |
4143.53534375 |
transcript.pyannote[417].end |
4144.63221875 |
transcript.pyannote[418].speaker |
SPEAKER_14 |
transcript.pyannote[418].start |
4145.29034375 |
transcript.pyannote[418].end |
4148.10846875 |
transcript.pyannote[419].speaker |
SPEAKER_14 |
transcript.pyannote[419].start |
4148.71596875 |
transcript.pyannote[419].end |
4150.53846875 |
transcript.pyannote[420].speaker |
SPEAKER_14 |
transcript.pyannote[420].start |
4151.28096875 |
transcript.pyannote[420].end |
4155.17909375 |
transcript.pyannote[421].speaker |
SPEAKER_14 |
transcript.pyannote[421].start |
4155.76971875 |
transcript.pyannote[421].end |
4162.78971875 |
transcript.pyannote[422].speaker |
SPEAKER_14 |
transcript.pyannote[422].start |
4163.43096875 |
transcript.pyannote[422].end |
4164.81471875 |
transcript.pyannote[423].speaker |
SPEAKER_14 |
transcript.pyannote[423].start |
4165.10159375 |
transcript.pyannote[423].end |
4167.48096875 |
transcript.pyannote[424].speaker |
SPEAKER_14 |
transcript.pyannote[424].start |
4171.17659375 |
transcript.pyannote[424].end |
4171.78409375 |
transcript.pyannote[425].speaker |
SPEAKER_14 |
transcript.pyannote[425].start |
4171.96971875 |
transcript.pyannote[425].end |
4177.47096875 |
transcript.pyannote[426].speaker |
SPEAKER_14 |
transcript.pyannote[426].start |
4177.53846875 |
transcript.pyannote[426].end |
4188.72659375 |
transcript.pyannote[427].speaker |
SPEAKER_14 |
transcript.pyannote[427].start |
4189.13159375 |
transcript.pyannote[427].end |
4197.02909375 |
transcript.pyannote[428].speaker |
SPEAKER_14 |
transcript.pyannote[428].start |
4197.63659375 |
transcript.pyannote[428].end |
4200.26909375 |
transcript.pyannote[429].speaker |
SPEAKER_14 |
transcript.pyannote[429].start |
4200.62346875 |
transcript.pyannote[429].end |
4204.13346875 |
transcript.pyannote[430].speaker |
SPEAKER_14 |
transcript.pyannote[430].start |
4205.07846875 |
transcript.pyannote[430].end |
4209.95534375 |
transcript.pyannote[431].speaker |
SPEAKER_14 |
transcript.pyannote[431].start |
4211.40659375 |
transcript.pyannote[431].end |
4213.71846875 |
transcript.pyannote[432].speaker |
SPEAKER_14 |
transcript.pyannote[432].start |
4214.44409375 |
transcript.pyannote[432].end |
4215.45659375 |
transcript.pyannote[433].speaker |
SPEAKER_14 |
transcript.pyannote[433].start |
4216.92471875 |
transcript.pyannote[433].end |
4219.13534375 |
transcript.pyannote[434].speaker |
SPEAKER_14 |
transcript.pyannote[434].start |
4219.86096875 |
transcript.pyannote[434].end |
4220.92409375 |
transcript.pyannote[435].speaker |
SPEAKER_14 |
transcript.pyannote[435].start |
4222.27409375 |
transcript.pyannote[435].end |
4225.10909375 |
transcript.pyannote[436].speaker |
SPEAKER_14 |
transcript.pyannote[436].start |
4225.59846875 |
transcript.pyannote[436].end |
4228.19721875 |
transcript.pyannote[437].speaker |
SPEAKER_14 |
transcript.pyannote[437].start |
4228.88909375 |
transcript.pyannote[437].end |
4231.16721875 |
transcript.pyannote[438].speaker |
SPEAKER_14 |
transcript.pyannote[438].start |
4231.30221875 |
transcript.pyannote[438].end |
4233.22596875 |
transcript.pyannote[439].speaker |
SPEAKER_14 |
transcript.pyannote[439].start |
4233.78284375 |
transcript.pyannote[439].end |
4238.44034375 |
transcript.pyannote[440].speaker |
SPEAKER_16 |
transcript.pyannote[440].start |
4239.62159375 |
transcript.pyannote[440].end |
4251.92346875 |
transcript.pyannote[441].speaker |
SPEAKER_14 |
transcript.pyannote[441].start |
4251.56909375 |
transcript.pyannote[441].end |
4254.11721875 |
transcript.pyannote[442].speaker |
SPEAKER_14 |
transcript.pyannote[442].start |
4254.85971875 |
transcript.pyannote[442].end |
4255.24784375 |
transcript.pyannote[443].speaker |
SPEAKER_14 |
transcript.pyannote[443].start |
4255.68659375 |
transcript.pyannote[443].end |
4256.91846875 |
transcript.pyannote[444].speaker |
SPEAKER_14 |
transcript.pyannote[444].start |
4257.49221875 |
transcript.pyannote[444].end |
4259.17971875 |
transcript.pyannote[445].speaker |
SPEAKER_14 |
transcript.pyannote[445].start |
4260.04034375 |
transcript.pyannote[445].end |
4264.10721875 |
transcript.pyannote[446].speaker |
SPEAKER_16 |
transcript.pyannote[446].start |
4265.13659375 |
transcript.pyannote[446].end |
4268.41034375 |
transcript.pyannote[447].speaker |
SPEAKER_14 |
transcript.pyannote[447].start |
4267.65096875 |
transcript.pyannote[447].end |
4268.49471875 |
transcript.pyannote[448].speaker |
SPEAKER_16 |
transcript.pyannote[448].start |
4268.49471875 |
transcript.pyannote[448].end |
4268.52846875 |
transcript.pyannote[449].speaker |
SPEAKER_14 |
transcript.pyannote[449].start |
4268.52846875 |
transcript.pyannote[449].end |
4268.69721875 |
transcript.pyannote[450].speaker |
SPEAKER_16 |
transcript.pyannote[450].start |
4268.69721875 |
transcript.pyannote[450].end |
4268.89971875 |
transcript.pyannote[451].speaker |
SPEAKER_14 |
transcript.pyannote[451].start |
4268.89971875 |
transcript.pyannote[451].end |
4268.91659375 |
transcript.pyannote[452].speaker |
SPEAKER_14 |
transcript.pyannote[452].start |
4269.25409375 |
transcript.pyannote[452].end |
4274.04659375 |
transcript.pyannote[453].speaker |
SPEAKER_14 |
transcript.pyannote[453].start |
4274.53596875 |
transcript.pyannote[453].end |
4275.85221875 |
transcript.pyannote[454].speaker |
SPEAKER_14 |
transcript.pyannote[454].start |
4276.10534375 |
transcript.pyannote[454].end |
4292.22096875 |
transcript.pyannote[455].speaker |
SPEAKER_16 |
transcript.pyannote[455].start |
4281.92721875 |
transcript.pyannote[455].end |
4283.90159375 |
transcript.pyannote[456].speaker |
SPEAKER_14 |
transcript.pyannote[456].start |
4292.62596875 |
transcript.pyannote[456].end |
4293.57096875 |
transcript.pyannote[457].speaker |
SPEAKER_14 |
transcript.pyannote[457].start |
4294.54971875 |
transcript.pyannote[457].end |
4296.28784375 |
transcript.pyannote[458].speaker |
SPEAKER_14 |
transcript.pyannote[458].start |
4297.04721875 |
transcript.pyannote[458].end |
4298.12721875 |
transcript.pyannote[459].speaker |
SPEAKER_14 |
transcript.pyannote[459].start |
4298.49846875 |
transcript.pyannote[459].end |
4299.89909375 |
transcript.pyannote[460].speaker |
SPEAKER_14 |
transcript.pyannote[460].start |
4300.45596875 |
transcript.pyannote[460].end |
4303.15596875 |
transcript.pyannote[461].speaker |
SPEAKER_14 |
transcript.pyannote[461].start |
4304.55659375 |
transcript.pyannote[461].end |
4307.50971875 |
transcript.pyannote[462].speaker |
SPEAKER_14 |
transcript.pyannote[462].start |
4307.98221875 |
transcript.pyannote[462].end |
4310.54721875 |
transcript.pyannote[463].speaker |
SPEAKER_14 |
transcript.pyannote[463].start |
4311.27284375 |
transcript.pyannote[463].end |
4313.19659375 |
transcript.pyannote[464].speaker |
SPEAKER_14 |
transcript.pyannote[464].start |
4313.68596875 |
transcript.pyannote[464].end |
4314.58034375 |
transcript.pyannote[465].speaker |
SPEAKER_14 |
transcript.pyannote[465].start |
4314.83346875 |
transcript.pyannote[465].end |
4317.44909375 |
transcript.pyannote[466].speaker |
SPEAKER_14 |
transcript.pyannote[466].start |
4317.90471875 |
transcript.pyannote[466].end |
4319.08596875 |
transcript.pyannote[467].speaker |
SPEAKER_14 |
transcript.pyannote[467].start |
4319.72721875 |
transcript.pyannote[467].end |
4321.14471875 |
transcript.pyannote[468].speaker |
SPEAKER_14 |
transcript.pyannote[468].start |
4321.61721875 |
transcript.pyannote[468].end |
4322.42721875 |
transcript.pyannote[469].speaker |
SPEAKER_14 |
transcript.pyannote[469].start |
4323.03471875 |
transcript.pyannote[469].end |
4323.94596875 |
transcript.pyannote[470].speaker |
SPEAKER_14 |
transcript.pyannote[470].start |
4324.51971875 |
transcript.pyannote[470].end |
4325.43096875 |
transcript.pyannote[471].speaker |
SPEAKER_14 |
transcript.pyannote[471].start |
4326.03846875 |
transcript.pyannote[471].end |
4327.57409375 |
transcript.pyannote[472].speaker |
SPEAKER_14 |
transcript.pyannote[472].start |
4328.08034375 |
transcript.pyannote[472].end |
4329.51471875 |
transcript.pyannote[473].speaker |
SPEAKER_14 |
transcript.pyannote[473].start |
4329.95346875 |
transcript.pyannote[473].end |
4332.46784375 |
transcript.pyannote[474].speaker |
SPEAKER_14 |
transcript.pyannote[474].start |
4332.85596875 |
transcript.pyannote[474].end |
4333.96971875 |
transcript.pyannote[475].speaker |
SPEAKER_14 |
transcript.pyannote[475].start |
4334.32409375 |
transcript.pyannote[475].end |
4337.12534375 |
transcript.pyannote[476].speaker |
SPEAKER_14 |
transcript.pyannote[476].start |
4337.69909375 |
transcript.pyannote[476].end |
4338.66096875 |
transcript.pyannote[477].speaker |
SPEAKER_14 |
transcript.pyannote[477].start |
4339.33596875 |
transcript.pyannote[477].end |
4340.14596875 |
transcript.pyannote[478].speaker |
SPEAKER_14 |
transcript.pyannote[478].start |
4340.51721875 |
transcript.pyannote[478].end |
4341.41159375 |
transcript.pyannote[479].speaker |
SPEAKER_14 |
transcript.pyannote[479].start |
4342.54221875 |
transcript.pyannote[479].end |
4343.63909375 |
transcript.pyannote[480].speaker |
SPEAKER_14 |
transcript.pyannote[480].start |
4344.55034375 |
transcript.pyannote[480].end |
4346.38971875 |
transcript.pyannote[481].speaker |
SPEAKER_14 |
transcript.pyannote[481].start |
4347.06471875 |
transcript.pyannote[481].end |
4349.22471875 |
transcript.pyannote[482].speaker |
SPEAKER_14 |
transcript.pyannote[482].start |
4349.71409375 |
transcript.pyannote[482].end |
4351.35096875 |
transcript.pyannote[483].speaker |
SPEAKER_14 |
transcript.pyannote[483].start |
4351.87409375 |
transcript.pyannote[483].end |
4354.59096875 |
transcript.pyannote[484].speaker |
SPEAKER_16 |
transcript.pyannote[484].start |
4355.24909375 |
transcript.pyannote[484].end |
4362.26909375 |
transcript.pyannote[485].speaker |
SPEAKER_14 |
transcript.pyannote[485].start |
4361.40846875 |
transcript.pyannote[485].end |
4361.47596875 |
transcript.pyannote[486].speaker |
SPEAKER_14 |
transcript.pyannote[486].start |
4361.56034375 |
transcript.pyannote[486].end |
4363.41659375 |
transcript.pyannote[487].speaker |
SPEAKER_16 |
transcript.pyannote[487].start |
4362.35346875 |
transcript.pyannote[487].end |
4363.29846875 |
transcript.pyannote[488].speaker |
SPEAKER_16 |
transcript.pyannote[488].start |
4363.77096875 |
transcript.pyannote[488].end |
4364.96909375 |
transcript.pyannote[489].speaker |
SPEAKER_14 |
transcript.pyannote[489].start |
4364.47971875 |
transcript.pyannote[489].end |
4365.30659375 |
transcript.pyannote[490].speaker |
SPEAKER_16 |
transcript.pyannote[490].start |
4365.30659375 |
transcript.pyannote[490].end |
4365.86346875 |
transcript.pyannote[491].speaker |
SPEAKER_14 |
transcript.pyannote[491].start |
4365.86346875 |
transcript.pyannote[491].end |
4369.28909375 |
transcript.pyannote[492].speaker |
SPEAKER_14 |
transcript.pyannote[492].start |
4369.47471875 |
transcript.pyannote[492].end |
4370.90909375 |
transcript.pyannote[493].speaker |
SPEAKER_14 |
transcript.pyannote[493].start |
4371.17909375 |
transcript.pyannote[493].end |
4375.27971875 |
transcript.pyannote[494].speaker |
SPEAKER_14 |
transcript.pyannote[494].start |
4375.49909375 |
transcript.pyannote[494].end |
4379.09346875 |
transcript.pyannote[495].speaker |
SPEAKER_14 |
transcript.pyannote[495].start |
4379.75159375 |
transcript.pyannote[495].end |
4381.62471875 |
transcript.pyannote[496].speaker |
SPEAKER_14 |
transcript.pyannote[496].start |
4382.14784375 |
transcript.pyannote[496].end |
4384.13909375 |
transcript.pyannote[497].speaker |
SPEAKER_14 |
transcript.pyannote[497].start |
4384.15596875 |
transcript.pyannote[497].end |
4385.05034375 |
transcript.pyannote[498].speaker |
SPEAKER_14 |
transcript.pyannote[498].start |
4385.57346875 |
transcript.pyannote[498].end |
4386.34971875 |
transcript.pyannote[499].speaker |
SPEAKER_14 |
transcript.pyannote[499].start |
4386.99096875 |
transcript.pyannote[499].end |
4388.39159375 |
transcript.pyannote[500].speaker |
SPEAKER_14 |
transcript.pyannote[500].start |
4388.79659375 |
transcript.pyannote[500].end |
4388.99909375 |
transcript.pyannote[501].speaker |
SPEAKER_14 |
transcript.pyannote[501].start |
4390.33221875 |
transcript.pyannote[501].end |
4392.40784375 |
transcript.pyannote[502].speaker |
SPEAKER_14 |
transcript.pyannote[502].start |
4393.45409375 |
transcript.pyannote[502].end |
4395.85034375 |
transcript.pyannote[503].speaker |
SPEAKER_14 |
transcript.pyannote[503].start |
4396.15409375 |
transcript.pyannote[503].end |
4397.58846875 |
transcript.pyannote[504].speaker |
SPEAKER_14 |
transcript.pyannote[504].start |
4398.51659375 |
transcript.pyannote[504].end |
4400.18721875 |
transcript.pyannote[505].speaker |
SPEAKER_14 |
transcript.pyannote[505].start |
4400.49096875 |
transcript.pyannote[505].end |
4402.12784375 |
transcript.pyannote[506].speaker |
SPEAKER_14 |
transcript.pyannote[506].start |
4403.20784375 |
transcript.pyannote[506].end |
4407.76409375 |
transcript.pyannote[507].speaker |
SPEAKER_14 |
transcript.pyannote[507].start |
4408.21971875 |
transcript.pyannote[507].end |
4409.13096875 |
transcript.pyannote[508].speaker |
SPEAKER_14 |
transcript.pyannote[508].start |
4410.95346875 |
transcript.pyannote[508].end |
4412.08409375 |
transcript.pyannote[509].speaker |
SPEAKER_14 |
transcript.pyannote[509].start |
4412.28659375 |
transcript.pyannote[509].end |
4413.06284375 |
transcript.pyannote[510].speaker |
SPEAKER_14 |
transcript.pyannote[510].start |
4414.21034375 |
transcript.pyannote[510].end |
4415.10471875 |
transcript.pyannote[511].speaker |
SPEAKER_14 |
transcript.pyannote[511].start |
4415.30721875 |
transcript.pyannote[511].end |
4417.28159375 |
transcript.pyannote[512].speaker |
SPEAKER_14 |
transcript.pyannote[512].start |
4417.87221875 |
transcript.pyannote[512].end |
4421.55096875 |
transcript.pyannote[513].speaker |
SPEAKER_14 |
transcript.pyannote[513].start |
4422.25971875 |
transcript.pyannote[513].end |
4427.22096875 |
transcript.pyannote[514].speaker |
SPEAKER_14 |
transcript.pyannote[514].start |
4428.82409375 |
transcript.pyannote[514].end |
4435.03409375 |
transcript.pyannote[515].speaker |
SPEAKER_14 |
transcript.pyannote[515].start |
4435.55721875 |
transcript.pyannote[515].end |
4441.29471875 |
transcript.pyannote[516].speaker |
SPEAKER_07 |
transcript.pyannote[516].start |
4441.61534375 |
transcript.pyannote[516].end |
4448.28096875 |
transcript.pyannote[517].speaker |
SPEAKER_14 |
transcript.pyannote[517].start |
4448.23034375 |
transcript.pyannote[517].end |
4450.69409375 |
transcript.pyannote[518].speaker |
SPEAKER_14 |
transcript.pyannote[518].start |
4451.40284375 |
transcript.pyannote[518].end |
4453.20846875 |
transcript.pyannote[519].speaker |
SPEAKER_14 |
transcript.pyannote[519].start |
4453.66409375 |
transcript.pyannote[519].end |
4454.91284375 |
transcript.pyannote[520].speaker |
SPEAKER_14 |
transcript.pyannote[520].start |
4455.30096875 |
transcript.pyannote[520].end |
4460.19471875 |
transcript.pyannote[521].speaker |
SPEAKER_14 |
transcript.pyannote[521].start |
4460.66721875 |
transcript.pyannote[521].end |
4464.36284375 |
transcript.pyannote[522].speaker |
SPEAKER_14 |
transcript.pyannote[522].start |
4464.76784375 |
transcript.pyannote[522].end |
4467.14721875 |
transcript.pyannote[523].speaker |
SPEAKER_14 |
transcript.pyannote[523].start |
4467.50159375 |
transcript.pyannote[523].end |
4468.90221875 |
transcript.pyannote[524].speaker |
SPEAKER_14 |
transcript.pyannote[524].start |
4469.54346875 |
transcript.pyannote[524].end |
4471.77096875 |
transcript.pyannote[525].speaker |
SPEAKER_14 |
transcript.pyannote[525].start |
4472.80034375 |
transcript.pyannote[525].end |
4477.06971875 |
transcript.pyannote[526].speaker |
SPEAKER_14 |
transcript.pyannote[526].start |
4477.54221875 |
transcript.pyannote[526].end |
4481.25471875 |
transcript.pyannote[527].speaker |
SPEAKER_14 |
transcript.pyannote[527].start |
4482.03096875 |
transcript.pyannote[527].end |
4485.18659375 |
transcript.pyannote[528].speaker |
SPEAKER_14 |
transcript.pyannote[528].start |
4485.62534375 |
transcript.pyannote[528].end |
4487.97096875 |
transcript.pyannote[529].speaker |
SPEAKER_14 |
transcript.pyannote[529].start |
4488.79784375 |
transcript.pyannote[529].end |
4489.75971875 |
transcript.pyannote[530].speaker |
SPEAKER_14 |
transcript.pyannote[530].start |
4490.31659375 |
transcript.pyannote[530].end |
4492.91534375 |
transcript.pyannote[531].speaker |
SPEAKER_14 |
transcript.pyannote[531].start |
4493.13471875 |
transcript.pyannote[531].end |
4495.14284375 |
transcript.pyannote[532].speaker |
SPEAKER_14 |
transcript.pyannote[532].start |
4495.69971875 |
transcript.pyannote[532].end |
4498.63596875 |
transcript.pyannote[533].speaker |
SPEAKER_14 |
transcript.pyannote[533].start |
4499.26034375 |
transcript.pyannote[533].end |
4500.66096875 |
transcript.pyannote[534].speaker |
SPEAKER_14 |
transcript.pyannote[534].start |
4501.21784375 |
transcript.pyannote[534].end |
4503.31034375 |
transcript.pyannote[535].speaker |
SPEAKER_14 |
transcript.pyannote[535].start |
4504.40721875 |
transcript.pyannote[535].end |
4508.40659375 |
transcript.pyannote[536].speaker |
SPEAKER_14 |
transcript.pyannote[536].start |
4509.40221875 |
transcript.pyannote[536].end |
4512.54096875 |
transcript.pyannote[537].speaker |
SPEAKER_07 |
transcript.pyannote[537].start |
4513.26659375 |
transcript.pyannote[537].end |
4514.46471875 |
transcript.pyannote[538].speaker |
SPEAKER_14 |
transcript.pyannote[538].start |
4514.46471875 |
transcript.pyannote[538].end |
4515.13971875 |
transcript.pyannote[539].speaker |
SPEAKER_07 |
transcript.pyannote[539].start |
4515.13971875 |
transcript.pyannote[539].end |
4515.15659375 |
transcript.pyannote[540].speaker |
SPEAKER_14 |
transcript.pyannote[540].start |
4516.87784375 |
transcript.pyannote[540].end |
4519.49346875 |
transcript.pyannote[541].speaker |
SPEAKER_07 |
transcript.pyannote[541].start |
4517.11409375 |
transcript.pyannote[541].end |
4517.13096875 |
transcript.pyannote[542].speaker |
SPEAKER_07 |
transcript.pyannote[542].start |
4517.58659375 |
transcript.pyannote[542].end |
4522.61534375 |
transcript.pyannote[543].speaker |
SPEAKER_14 |
transcript.pyannote[543].start |
4521.01221875 |
transcript.pyannote[543].end |
4523.15534375 |
transcript.pyannote[544].speaker |
SPEAKER_14 |
transcript.pyannote[544].start |
4523.76284375 |
transcript.pyannote[544].end |
4524.69096875 |
transcript.pyannote[545].speaker |
SPEAKER_14 |
transcript.pyannote[545].start |
4524.92721875 |
transcript.pyannote[545].end |
4529.88846875 |
transcript.pyannote[546].speaker |
SPEAKER_14 |
transcript.pyannote[546].start |
4530.46221875 |
transcript.pyannote[546].end |
4532.60534375 |
transcript.pyannote[547].speaker |
SPEAKER_14 |
transcript.pyannote[547].start |
4532.94284375 |
transcript.pyannote[547].end |
4539.42284375 |
transcript.pyannote[548].speaker |
SPEAKER_14 |
transcript.pyannote[548].start |
4539.72659375 |
transcript.pyannote[548].end |
4541.17784375 |
transcript.pyannote[549].speaker |
SPEAKER_14 |
transcript.pyannote[549].start |
4541.63346875 |
transcript.pyannote[549].end |
4546.03784375 |
transcript.pyannote[550].speaker |
SPEAKER_14 |
transcript.pyannote[550].start |
4546.20659375 |
transcript.pyannote[550].end |
4549.05846875 |
transcript.pyannote[551].speaker |
SPEAKER_14 |
transcript.pyannote[551].start |
4549.26096875 |
transcript.pyannote[551].end |
4550.07096875 |
transcript.pyannote[552].speaker |
SPEAKER_16 |
transcript.pyannote[552].start |
4553.05784375 |
transcript.pyannote[552].end |
4554.00284375 |
transcript.pyannote[553].speaker |
SPEAKER_16 |
transcript.pyannote[553].start |
4554.57659375 |
transcript.pyannote[553].end |
4559.92596875 |
transcript.pyannote[554].speaker |
SPEAKER_16 |
transcript.pyannote[554].start |
4560.73596875 |
transcript.pyannote[554].end |
4564.02659375 |
transcript.pyannote[555].speaker |
SPEAKER_14 |
transcript.pyannote[555].start |
4564.02659375 |
transcript.pyannote[555].end |
4568.22846875 |
transcript.pyannote[556].speaker |
SPEAKER_22 |
transcript.pyannote[556].start |
4568.22846875 |
transcript.pyannote[556].end |
4568.70096875 |
transcript.pyannote[557].speaker |
SPEAKER_14 |
transcript.pyannote[557].start |
4568.32971875 |
transcript.pyannote[557].end |
4568.38034375 |
transcript.pyannote[558].speaker |
SPEAKER_14 |
transcript.pyannote[558].start |
4568.44784375 |
transcript.pyannote[558].end |
4575.48471875 |
transcript.pyannote[559].speaker |
SPEAKER_14 |
transcript.pyannote[559].start |
4576.17659375 |
transcript.pyannote[559].end |
4576.98659375 |
transcript.pyannote[560].speaker |
SPEAKER_14 |
transcript.pyannote[560].start |
4577.50971875 |
transcript.pyannote[560].end |
4578.45471875 |
transcript.pyannote[561].speaker |
SPEAKER_14 |
transcript.pyannote[561].start |
4579.58534375 |
transcript.pyannote[561].end |
4580.31096875 |
transcript.pyannote[562].speaker |
SPEAKER_14 |
transcript.pyannote[562].start |
4580.93534375 |
transcript.pyannote[562].end |
4582.42034375 |
transcript.pyannote[563].speaker |
SPEAKER_14 |
transcript.pyannote[563].start |
4583.17971875 |
transcript.pyannote[563].end |
4585.44096875 |
transcript.pyannote[564].speaker |
SPEAKER_14 |
transcript.pyannote[564].start |
4585.98096875 |
transcript.pyannote[564].end |
4588.90034375 |
transcript.pyannote[565].speaker |
SPEAKER_14 |
transcript.pyannote[565].start |
4589.67659375 |
transcript.pyannote[565].end |
4590.50346875 |
transcript.pyannote[566].speaker |
SPEAKER_14 |
transcript.pyannote[566].start |
4590.89159375 |
transcript.pyannote[566].end |
4592.00534375 |
transcript.pyannote[567].speaker |
SPEAKER_14 |
transcript.pyannote[567].start |
4592.74784375 |
transcript.pyannote[567].end |
4595.26221875 |
transcript.pyannote[568].speaker |
SPEAKER_14 |
transcript.pyannote[568].start |
4596.88221875 |
transcript.pyannote[568].end |
4599.95346875 |
transcript.pyannote[569].speaker |
SPEAKER_14 |
transcript.pyannote[569].start |
4601.35409375 |
transcript.pyannote[569].end |
4602.21471875 |
transcript.pyannote[570].speaker |
SPEAKER_14 |
transcript.pyannote[570].start |
4603.68284375 |
transcript.pyannote[570].end |
4604.74596875 |
transcript.pyannote[571].speaker |
SPEAKER_14 |
transcript.pyannote[571].start |
4605.06659375 |
transcript.pyannote[571].end |
4607.14221875 |
transcript.pyannote[572].speaker |
SPEAKER_14 |
transcript.pyannote[572].start |
4607.90159375 |
transcript.pyannote[572].end |
4609.35284375 |
transcript.pyannote[573].speaker |
SPEAKER_14 |
transcript.pyannote[573].start |
4610.23034375 |
transcript.pyannote[573].end |
4612.33971875 |
transcript.pyannote[574].speaker |
SPEAKER_14 |
transcript.pyannote[574].start |
4612.86284375 |
transcript.pyannote[574].end |
4613.60534375 |
transcript.pyannote[575].speaker |
SPEAKER_14 |
transcript.pyannote[575].start |
4615.20846875 |
transcript.pyannote[575].end |
4616.89596875 |
transcript.pyannote[576].speaker |
SPEAKER_14 |
transcript.pyannote[576].start |
4617.50346875 |
transcript.pyannote[576].end |
4619.47784375 |
transcript.pyannote[577].speaker |
SPEAKER_14 |
transcript.pyannote[577].start |
4619.89971875 |
transcript.pyannote[577].end |
4621.06409375 |
transcript.pyannote[578].speaker |
SPEAKER_14 |
transcript.pyannote[578].start |
4621.30034375 |
transcript.pyannote[578].end |
4622.26221875 |
transcript.pyannote[579].speaker |
SPEAKER_14 |
transcript.pyannote[579].start |
4624.25346875 |
transcript.pyannote[579].end |
4627.13909375 |
transcript.pyannote[580].speaker |
SPEAKER_14 |
transcript.pyannote[580].start |
4627.67909375 |
transcript.pyannote[580].end |
4629.13034375 |
transcript.pyannote[581].speaker |
SPEAKER_22 |
transcript.pyannote[581].start |
4629.13034375 |
transcript.pyannote[581].end |
4629.43409375 |
transcript.pyannote[582].speaker |
SPEAKER_14 |
transcript.pyannote[582].start |
4629.72096875 |
transcript.pyannote[582].end |
4630.49721875 |
transcript.pyannote[583].speaker |
SPEAKER_14 |
transcript.pyannote[583].start |
4630.98659375 |
transcript.pyannote[583].end |
4636.80846875 |
transcript.pyannote[584].speaker |
SPEAKER_14 |
transcript.pyannote[584].start |
4637.70284375 |
transcript.pyannote[584].end |
4639.17096875 |
transcript.pyannote[585].speaker |
SPEAKER_14 |
transcript.pyannote[585].start |
4639.66034375 |
transcript.pyannote[585].end |
4641.83721875 |
transcript.pyannote[586].speaker |
SPEAKER_07 |
transcript.pyannote[586].start |
4643.28846875 |
transcript.pyannote[586].end |
4644.11534375 |
transcript.pyannote[587].speaker |
SPEAKER_14 |
transcript.pyannote[587].start |
4644.11534375 |
transcript.pyannote[587].end |
4644.48659375 |
transcript.pyannote[588].speaker |
SPEAKER_14 |
transcript.pyannote[588].start |
4644.65534375 |
transcript.pyannote[588].end |
4646.27534375 |
transcript.pyannote[589].speaker |
SPEAKER_14 |
transcript.pyannote[589].start |
4647.30471875 |
transcript.pyannote[589].end |
4650.88221875 |
transcript.pyannote[590].speaker |
SPEAKER_14 |
transcript.pyannote[590].start |
4651.81034375 |
transcript.pyannote[590].end |
4658.40846875 |
transcript.pyannote[591].speaker |
SPEAKER_14 |
transcript.pyannote[591].start |
4659.10034375 |
transcript.pyannote[591].end |
4672.14471875 |
transcript.pyannote[592].speaker |
SPEAKER_14 |
transcript.pyannote[592].start |
4673.10659375 |
transcript.pyannote[592].end |
4674.30471875 |
transcript.pyannote[593].speaker |
SPEAKER_16 |
transcript.pyannote[593].start |
4675.97534375 |
transcript.pyannote[593].end |
4679.89034375 |
transcript.pyannote[594].speaker |
SPEAKER_19 |
transcript.pyannote[594].start |
4679.89034375 |
transcript.pyannote[594].end |
4680.26159375 |
transcript.pyannote[595].speaker |
SPEAKER_19 |
transcript.pyannote[595].start |
4681.15596875 |
transcript.pyannote[595].end |
4702.58721875 |
transcript.pyannote[596].speaker |
SPEAKER_16 |
transcript.pyannote[596].start |
4686.18471875 |
transcript.pyannote[596].end |
4687.41659375 |
transcript.pyannote[597].speaker |
SPEAKER_00 |
transcript.pyannote[597].start |
4687.41659375 |
transcript.pyannote[597].end |
4687.46721875 |
transcript.pyannote[598].speaker |
SPEAKER_14 |
transcript.pyannote[598].start |
4691.19659375 |
transcript.pyannote[598].end |
4693.35659375 |
transcript.pyannote[599].speaker |
SPEAKER_14 |
transcript.pyannote[599].start |
4702.19909375 |
transcript.pyannote[599].end |
4702.55346875 |
transcript.pyannote[600].speaker |
SPEAKER_14 |
transcript.pyannote[600].start |
4702.58721875 |
transcript.pyannote[600].end |
4703.98784375 |
transcript.pyannote[601].speaker |
SPEAKER_14 |
transcript.pyannote[601].start |
4705.32096875 |
transcript.pyannote[601].end |
4705.67534375 |
transcript.pyannote[602].speaker |
SPEAKER_14 |
transcript.pyannote[602].start |
4706.29971875 |
transcript.pyannote[602].end |
4707.91971875 |
transcript.pyannote[603].speaker |
SPEAKER_14 |
transcript.pyannote[603].start |
4709.48909375 |
transcript.pyannote[603].end |
4713.53909375 |
transcript.pyannote[604].speaker |
SPEAKER_14 |
transcript.pyannote[604].start |
4714.07909375 |
transcript.pyannote[604].end |
4717.40346875 |
transcript.pyannote[605].speaker |
SPEAKER_14 |
transcript.pyannote[605].start |
4717.84221875 |
transcript.pyannote[605].end |
4720.03596875 |
transcript.pyannote[606].speaker |
SPEAKER_07 |
transcript.pyannote[606].start |
4720.03596875 |
transcript.pyannote[606].end |
4720.05284375 |
transcript.pyannote[607].speaker |
SPEAKER_07 |
transcript.pyannote[607].start |
4721.11596875 |
transcript.pyannote[607].end |
4721.13284375 |
transcript.pyannote[608].speaker |
SPEAKER_14 |
transcript.pyannote[608].start |
4721.13284375 |
transcript.pyannote[608].end |
4721.14971875 |
transcript.pyannote[609].speaker |
SPEAKER_07 |
transcript.pyannote[609].start |
4721.14971875 |
transcript.pyannote[609].end |
4731.69659375 |
transcript.pyannote[610].speaker |
SPEAKER_14 |
transcript.pyannote[610].start |
4730.29596875 |
transcript.pyannote[610].end |
4730.49846875 |
transcript.pyannote[611].speaker |
SPEAKER_07 |
transcript.pyannote[611].start |
4731.96659375 |
transcript.pyannote[611].end |
4732.54034375 |
transcript.pyannote[612].speaker |
SPEAKER_07 |
transcript.pyannote[612].start |
4733.14784375 |
transcript.pyannote[612].end |
4734.66659375 |
transcript.pyannote[613].speaker |
SPEAKER_14 |
transcript.pyannote[613].start |
4734.66659375 |
transcript.pyannote[613].end |
4734.68346875 |
transcript.pyannote[614].speaker |
SPEAKER_07 |
transcript.pyannote[614].start |
4735.39221875 |
transcript.pyannote[614].end |
4735.40909375 |
transcript.pyannote[615].speaker |
SPEAKER_14 |
transcript.pyannote[615].start |
4735.40909375 |
transcript.pyannote[615].end |
4736.64096875 |
transcript.pyannote[616].speaker |
SPEAKER_14 |
transcript.pyannote[616].start |
4737.28221875 |
transcript.pyannote[616].end |
4739.29034375 |
transcript.pyannote[617].speaker |
SPEAKER_14 |
transcript.pyannote[617].start |
4740.35346875 |
transcript.pyannote[617].end |
4742.17596875 |
transcript.pyannote[618].speaker |
SPEAKER_14 |
transcript.pyannote[618].start |
4742.78346875 |
transcript.pyannote[618].end |
4744.35284375 |
transcript.pyannote[619].speaker |
SPEAKER_14 |
transcript.pyannote[619].start |
4745.07846875 |
transcript.pyannote[619].end |
4746.52971875 |
transcript.pyannote[620].speaker |
SPEAKER_14 |
transcript.pyannote[620].start |
4747.13721875 |
transcript.pyannote[620].end |
4748.23409375 |
transcript.pyannote[621].speaker |
SPEAKER_14 |
transcript.pyannote[621].start |
4748.90909375 |
transcript.pyannote[621].end |
4749.95534375 |
transcript.pyannote[622].speaker |
SPEAKER_14 |
transcript.pyannote[622].start |
4751.33909375 |
transcript.pyannote[622].end |
4752.90846875 |
transcript.pyannote[623].speaker |
SPEAKER_14 |
transcript.pyannote[623].start |
4753.54971875 |
transcript.pyannote[623].end |
4754.22471875 |
transcript.pyannote[624].speaker |
SPEAKER_14 |
transcript.pyannote[624].start |
4755.49034375 |
transcript.pyannote[624].end |
4756.82346875 |
transcript.pyannote[625].speaker |
SPEAKER_14 |
transcript.pyannote[625].start |
4757.49846875 |
transcript.pyannote[625].end |
4758.64596875 |
transcript.pyannote[626].speaker |
SPEAKER_14 |
transcript.pyannote[626].start |
4759.79346875 |
transcript.pyannote[626].end |
4763.70846875 |
transcript.pyannote[627].speaker |
SPEAKER_14 |
transcript.pyannote[627].start |
4764.07971875 |
transcript.pyannote[627].end |
4766.15534375 |
transcript.pyannote[628].speaker |
SPEAKER_14 |
transcript.pyannote[628].start |
4767.25221875 |
transcript.pyannote[628].end |
4770.57659375 |
transcript.pyannote[629].speaker |
SPEAKER_14 |
transcript.pyannote[629].start |
4772.65221875 |
transcript.pyannote[629].end |
4774.32284375 |
transcript.pyannote[630].speaker |
SPEAKER_14 |
transcript.pyannote[630].start |
4775.60534375 |
transcript.pyannote[630].end |
4777.22534375 |
transcript.pyannote[631].speaker |
SPEAKER_14 |
transcript.pyannote[631].start |
4778.03534375 |
transcript.pyannote[631].end |
4779.70596875 |
transcript.pyannote[632].speaker |
SPEAKER_14 |
transcript.pyannote[632].start |
4781.84909375 |
transcript.pyannote[632].end |
4782.49034375 |
transcript.pyannote[633].speaker |
SPEAKER_07 |
transcript.pyannote[633].start |
4782.49034375 |
transcript.pyannote[633].end |
4782.54096875 |
transcript.pyannote[634].speaker |
SPEAKER_14 |
transcript.pyannote[634].start |
4782.54096875 |
transcript.pyannote[634].end |
4782.65909375 |
transcript.pyannote[635].speaker |
SPEAKER_07 |
transcript.pyannote[635].start |
4782.65909375 |
transcript.pyannote[635].end |
4782.70971875 |
transcript.pyannote[636].speaker |
SPEAKER_14 |
transcript.pyannote[636].start |
4782.70971875 |
transcript.pyannote[636].end |
4782.91221875 |
transcript.pyannote[637].speaker |
SPEAKER_07 |
transcript.pyannote[637].start |
4782.91221875 |
transcript.pyannote[637].end |
4782.92909375 |
transcript.pyannote[638].speaker |
SPEAKER_07 |
transcript.pyannote[638].start |
4784.00909375 |
transcript.pyannote[638].end |
4785.62909375 |
transcript.pyannote[639].speaker |
SPEAKER_07 |
transcript.pyannote[639].start |
4786.11846875 |
transcript.pyannote[639].end |
4787.26596875 |
transcript.pyannote[640].speaker |
SPEAKER_07 |
transcript.pyannote[640].start |
4788.07596875 |
transcript.pyannote[640].end |
4788.46409375 |
transcript.pyannote[641].speaker |
SPEAKER_07 |
transcript.pyannote[641].start |
4789.30784375 |
transcript.pyannote[641].end |
4790.28659375 |
transcript.pyannote[642].speaker |
SPEAKER_14 |
transcript.pyannote[642].start |
4790.28659375 |
transcript.pyannote[642].end |
4790.32034375 |
transcript.pyannote[643].speaker |
SPEAKER_07 |
transcript.pyannote[643].start |
4790.97846875 |
transcript.pyannote[643].end |
4790.99534375 |
transcript.pyannote[644].speaker |
SPEAKER_14 |
transcript.pyannote[644].start |
4790.99534375 |
transcript.pyannote[644].end |
4792.15971875 |
transcript.pyannote[645].speaker |
SPEAKER_14 |
transcript.pyannote[645].start |
4792.75034375 |
transcript.pyannote[645].end |
4793.91471875 |
transcript.pyannote[646].speaker |
SPEAKER_14 |
transcript.pyannote[646].start |
4794.82596875 |
transcript.pyannote[646].end |
4798.43721875 |
transcript.pyannote[647].speaker |
SPEAKER_14 |
transcript.pyannote[647].start |
4798.90971875 |
transcript.pyannote[647].end |
4800.24284375 |
transcript.pyannote[648].speaker |
SPEAKER_14 |
transcript.pyannote[648].start |
4801.10346875 |
transcript.pyannote[648].end |
4804.09034375 |
transcript.pyannote[649].speaker |
SPEAKER_14 |
transcript.pyannote[649].start |
4804.73159375 |
transcript.pyannote[649].end |
4809.23721875 |
transcript.pyannote[650].speaker |
SPEAKER_14 |
transcript.pyannote[650].start |
4810.04721875 |
transcript.pyannote[650].end |
4816.69596875 |
transcript.pyannote[651].speaker |
SPEAKER_14 |
transcript.pyannote[651].start |
4817.32034375 |
transcript.pyannote[651].end |
4820.00346875 |
transcript.pyannote[652].speaker |
SPEAKER_14 |
transcript.pyannote[652].start |
4820.79659375 |
transcript.pyannote[652].end |
4821.30284375 |
transcript.pyannote[653].speaker |
SPEAKER_14 |
transcript.pyannote[653].start |
4822.28159375 |
transcript.pyannote[653].end |
4825.75784375 |
transcript.pyannote[654].speaker |
SPEAKER_14 |
transcript.pyannote[654].start |
4826.28096875 |
transcript.pyannote[654].end |
4827.93471875 |
transcript.pyannote[655].speaker |
SPEAKER_14 |
transcript.pyannote[655].start |
4828.60971875 |
transcript.pyannote[655].end |
4829.20034375 |
transcript.pyannote[656].speaker |
SPEAKER_14 |
transcript.pyannote[656].start |
4830.53346875 |
transcript.pyannote[656].end |
4834.43159375 |
transcript.pyannote[657].speaker |
SPEAKER_14 |
transcript.pyannote[657].start |
4835.24159375 |
transcript.pyannote[657].end |
4836.86159375 |
transcript.pyannote[658].speaker |
SPEAKER_14 |
transcript.pyannote[658].start |
4837.48596875 |
transcript.pyannote[658].end |
4841.83971875 |
transcript.pyannote[659].speaker |
SPEAKER_14 |
transcript.pyannote[659].start |
4842.36284375 |
transcript.pyannote[659].end |
4844.10096875 |
transcript.pyannote[660].speaker |
SPEAKER_14 |
transcript.pyannote[660].start |
4845.07971875 |
transcript.pyannote[660].end |
4849.65284375 |
transcript.pyannote[661].speaker |
SPEAKER_14 |
transcript.pyannote[661].start |
4850.12534375 |
transcript.pyannote[661].end |
4856.03159375 |
transcript.pyannote[662].speaker |
SPEAKER_14 |
transcript.pyannote[662].start |
4856.58846875 |
transcript.pyannote[662].end |
4857.60096875 |
transcript.pyannote[663].speaker |
SPEAKER_14 |
transcript.pyannote[663].start |
4858.14096875 |
transcript.pyannote[663].end |
4860.13221875 |
transcript.pyannote[664].speaker |
SPEAKER_14 |
transcript.pyannote[664].start |
4860.68909375 |
transcript.pyannote[664].end |
4865.48159375 |
transcript.pyannote[665].speaker |
SPEAKER_14 |
transcript.pyannote[665].start |
4865.95409375 |
transcript.pyannote[665].end |
4870.71284375 |
transcript.pyannote[666].speaker |
SPEAKER_14 |
transcript.pyannote[666].start |
4871.32034375 |
transcript.pyannote[666].end |
4872.18096875 |
transcript.pyannote[667].speaker |
SPEAKER_07 |
transcript.pyannote[667].start |
4873.39596875 |
transcript.pyannote[667].end |
4873.64909375 |
transcript.pyannote[668].speaker |
SPEAKER_05 |
transcript.pyannote[668].start |
4874.50971875 |
transcript.pyannote[668].end |
4875.33659375 |
transcript.pyannote[669].speaker |
SPEAKER_07 |
transcript.pyannote[669].start |
4876.72034375 |
transcript.pyannote[669].end |
4878.74534375 |
transcript.pyannote[670].speaker |
SPEAKER_07 |
transcript.pyannote[670].start |
4878.96471875 |
transcript.pyannote[670].end |
4882.15409375 |
transcript.pyannote[671].speaker |
SPEAKER_19 |
transcript.pyannote[671].start |
4882.69409375 |
transcript.pyannote[671].end |
4892.21159375 |
transcript.pyannote[672].speaker |
SPEAKER_14 |
transcript.pyannote[672].start |
4886.03534375 |
transcript.pyannote[672].end |
4887.40221875 |
transcript.pyannote[673].speaker |
SPEAKER_19 |
transcript.pyannote[673].start |
4892.56596875 |
transcript.pyannote[673].end |
4908.98534375 |
transcript.pyannote[674].speaker |
SPEAKER_14 |
transcript.pyannote[674].start |
4909.08659375 |
transcript.pyannote[674].end |
4914.79034375 |
transcript.pyannote[675].speaker |
SPEAKER_19 |
transcript.pyannote[675].start |
4911.21284375 |
transcript.pyannote[675].end |
4911.55034375 |
transcript.pyannote[676].speaker |
SPEAKER_19 |
transcript.pyannote[676].start |
4914.79034375 |
transcript.pyannote[676].end |
4919.54909375 |
transcript.pyannote[677].speaker |
SPEAKER_19 |
transcript.pyannote[677].start |
4919.65034375 |
transcript.pyannote[677].end |
4925.25284375 |
transcript.pyannote[678].speaker |
SPEAKER_19 |
transcript.pyannote[678].start |
4925.50596875 |
transcript.pyannote[678].end |
4926.45096875 |
transcript.pyannote[679].speaker |
SPEAKER_14 |
transcript.pyannote[679].start |
4925.69159375 |
transcript.pyannote[679].end |
4925.80971875 |
transcript.pyannote[680].speaker |
SPEAKER_14 |
transcript.pyannote[680].start |
4925.92784375 |
transcript.pyannote[680].end |
4925.97846875 |
transcript.pyannote[681].speaker |
SPEAKER_14 |
transcript.pyannote[681].start |
4926.26534375 |
transcript.pyannote[681].end |
4926.38346875 |
transcript.pyannote[682].speaker |
SPEAKER_22 |
transcript.pyannote[682].start |
4926.45096875 |
transcript.pyannote[682].end |
4926.92346875 |
transcript.pyannote[683].speaker |
SPEAKER_19 |
transcript.pyannote[683].start |
4926.92346875 |
transcript.pyannote[683].end |
4927.96971875 |
transcript.pyannote[684].speaker |
SPEAKER_14 |
transcript.pyannote[684].start |
4927.96971875 |
transcript.pyannote[684].end |
4928.62784375 |
transcript.pyannote[685].speaker |
SPEAKER_14 |
transcript.pyannote[685].start |
4928.93159375 |
transcript.pyannote[685].end |
4932.00284375 |
transcript.pyannote[686].speaker |
SPEAKER_19 |
transcript.pyannote[686].start |
4932.13784375 |
transcript.pyannote[686].end |
4935.17534375 |
transcript.pyannote[687].speaker |
SPEAKER_14 |
transcript.pyannote[687].start |
4935.61409375 |
transcript.pyannote[687].end |
4942.27971875 |
transcript.pyannote[688].speaker |
SPEAKER_19 |
transcript.pyannote[688].start |
4935.68159375 |
transcript.pyannote[688].end |
4936.13721875 |
transcript.pyannote[689].speaker |
SPEAKER_19 |
transcript.pyannote[689].start |
4940.40659375 |
transcript.pyannote[689].end |
4941.75659375 |
transcript.pyannote[690].speaker |
SPEAKER_19 |
transcript.pyannote[690].start |
4942.66784375 |
transcript.pyannote[690].end |
4946.54909375 |
transcript.pyannote[691].speaker |
SPEAKER_14 |
transcript.pyannote[691].start |
4945.43534375 |
transcript.pyannote[691].end |
4947.02159375 |
transcript.pyannote[692].speaker |
SPEAKER_19 |
transcript.pyannote[692].start |
4947.35909375 |
transcript.pyannote[692].end |
4948.75971875 |
transcript.pyannote[693].speaker |
SPEAKER_14 |
transcript.pyannote[693].start |
4947.51096875 |
transcript.pyannote[693].end |
4947.67971875 |
transcript.pyannote[694].speaker |
SPEAKER_14 |
transcript.pyannote[694].start |
4947.73034375 |
transcript.pyannote[694].end |
4951.88159375 |
transcript.pyannote[695].speaker |
SPEAKER_19 |
transcript.pyannote[695].start |
4948.77659375 |
transcript.pyannote[695].end |
4948.81034375 |
transcript.pyannote[696].speaker |
SPEAKER_22 |
transcript.pyannote[696].start |
4951.88159375 |
transcript.pyannote[696].end |
4951.89846875 |
transcript.pyannote[697].speaker |
SPEAKER_19 |
transcript.pyannote[697].start |
4951.89846875 |
transcript.pyannote[697].end |
4951.91534375 |
transcript.pyannote[698].speaker |
SPEAKER_22 |
transcript.pyannote[698].start |
4951.91534375 |
transcript.pyannote[698].end |
4951.94909375 |
transcript.pyannote[699].speaker |
SPEAKER_19 |
transcript.pyannote[699].start |
4951.94909375 |
transcript.pyannote[699].end |
4951.96596875 |
transcript.pyannote[700].speaker |
SPEAKER_22 |
transcript.pyannote[700].start |
4951.96596875 |
transcript.pyannote[700].end |
4952.16846875 |
transcript.pyannote[701].speaker |
SPEAKER_14 |
transcript.pyannote[701].start |
4952.42159375 |
transcript.pyannote[701].end |
4960.92659375 |
transcript.pyannote[702].speaker |
SPEAKER_14 |
transcript.pyannote[702].start |
4961.73659375 |
transcript.pyannote[702].end |
4963.25534375 |
transcript.pyannote[703].speaker |
SPEAKER_14 |
transcript.pyannote[703].start |
4964.38596875 |
transcript.pyannote[703].end |
4967.94659375 |
transcript.pyannote[704].speaker |
SPEAKER_14 |
transcript.pyannote[704].start |
4968.73971875 |
transcript.pyannote[704].end |
4972.38471875 |
transcript.pyannote[705].speaker |
SPEAKER_14 |
transcript.pyannote[705].start |
4972.55346875 |
transcript.pyannote[705].end |
4973.54909375 |
transcript.pyannote[706].speaker |
SPEAKER_14 |
transcript.pyannote[706].start |
4974.40971875 |
transcript.pyannote[706].end |
4976.36721875 |
transcript.pyannote[707].speaker |
SPEAKER_19 |
transcript.pyannote[707].start |
4976.67096875 |
transcript.pyannote[707].end |
4977.00846875 |
transcript.pyannote[708].speaker |
SPEAKER_19 |
transcript.pyannote[708].start |
4977.22784375 |
transcript.pyannote[708].end |
4983.85971875 |
transcript.pyannote[709].speaker |
SPEAKER_05 |
transcript.pyannote[709].start |
4981.26096875 |
transcript.pyannote[709].end |
4983.80909375 |
transcript.pyannote[710].speaker |
SPEAKER_05 |
transcript.pyannote[710].start |
4983.85971875 |
transcript.pyannote[710].end |
4984.24784375 |
transcript.pyannote[711].speaker |
SPEAKER_05 |
transcript.pyannote[711].start |
4985.00721875 |
transcript.pyannote[711].end |
4985.39534375 |
transcript.pyannote[712].speaker |
SPEAKER_05 |
transcript.pyannote[712].start |
4986.03659375 |
transcript.pyannote[712].end |
4992.33096875 |
transcript.pyannote[713].speaker |
SPEAKER_20 |
transcript.pyannote[713].start |
5001.42659375 |
transcript.pyannote[713].end |
5005.64534375 |
transcript.pyannote[714].speaker |
SPEAKER_05 |
transcript.pyannote[714].start |
5006.01659375 |
transcript.pyannote[714].end |
5008.71659375 |
transcript.pyannote[715].speaker |
SPEAKER_20 |
transcript.pyannote[715].start |
5017.81221875 |
transcript.pyannote[715].end |
5039.07471875 |
transcript.pyannote[716].speaker |
SPEAKER_20 |
transcript.pyannote[716].start |
5039.47971875 |
transcript.pyannote[716].end |
5040.67784375 |
transcript.pyannote[717].speaker |
SPEAKER_20 |
transcript.pyannote[717].start |
5040.98159375 |
transcript.pyannote[717].end |
5044.27221875 |
transcript.pyannote[718].speaker |
SPEAKER_20 |
transcript.pyannote[718].start |
5044.60971875 |
transcript.pyannote[718].end |
5046.28034375 |
transcript.pyannote[719].speaker |
SPEAKER_20 |
transcript.pyannote[719].start |
5046.82034375 |
transcript.pyannote[719].end |
5052.20346875 |
transcript.pyannote[720].speaker |
SPEAKER_20 |
transcript.pyannote[720].start |
5052.50721875 |
transcript.pyannote[720].end |
5059.81409375 |
transcript.pyannote[721].speaker |
SPEAKER_20 |
transcript.pyannote[721].start |
5060.32034375 |
transcript.pyannote[721].end |
5062.63221875 |
transcript.pyannote[722].speaker |
SPEAKER_20 |
transcript.pyannote[722].start |
5063.15534375 |
transcript.pyannote[722].end |
5068.90971875 |
transcript.pyannote[723].speaker |
SPEAKER_11 |
transcript.pyannote[723].start |
5068.70721875 |
transcript.pyannote[723].end |
5071.57596875 |
transcript.pyannote[724].speaker |
SPEAKER_11 |
transcript.pyannote[724].start |
5071.76159375 |
transcript.pyannote[724].end |
5073.71909375 |
transcript.pyannote[725].speaker |
SPEAKER_11 |
transcript.pyannote[725].start |
5074.00596875 |
transcript.pyannote[725].end |
5078.30909375 |
transcript.pyannote[726].speaker |
SPEAKER_11 |
transcript.pyannote[726].start |
5078.57909375 |
transcript.pyannote[726].end |
5109.30846875 |
transcript.pyannote[727].speaker |
SPEAKER_20 |
transcript.pyannote[727].start |
5109.30846875 |
transcript.pyannote[727].end |
5130.04784375 |
transcript.pyannote[728].speaker |
SPEAKER_20 |
transcript.pyannote[728].start |
5130.09846875 |
transcript.pyannote[728].end |
5141.32034375 |
transcript.pyannote[729].speaker |
SPEAKER_11 |
transcript.pyannote[729].start |
5141.53971875 |
transcript.pyannote[729].end |
5182.17471875 |
transcript.pyannote[730].speaker |
SPEAKER_20 |
transcript.pyannote[730].start |
5182.54596875 |
transcript.pyannote[730].end |
5187.42284375 |
transcript.pyannote[731].speaker |
SPEAKER_20 |
transcript.pyannote[731].start |
5188.43534375 |
transcript.pyannote[731].end |
5196.97409375 |
transcript.pyannote[732].speaker |
SPEAKER_20 |
transcript.pyannote[732].start |
5197.21034375 |
transcript.pyannote[732].end |
5220.02534375 |
transcript.pyannote[733].speaker |
SPEAKER_20 |
transcript.pyannote[733].start |
5220.32909375 |
transcript.pyannote[733].end |
5223.85596875 |
transcript.pyannote[734].speaker |
SPEAKER_11 |
transcript.pyannote[734].start |
5223.85596875 |
transcript.pyannote[734].end |
5228.68221875 |
transcript.pyannote[735].speaker |
SPEAKER_11 |
transcript.pyannote[735].start |
5229.15471875 |
transcript.pyannote[735].end |
5241.28784375 |
transcript.pyannote[736].speaker |
SPEAKER_11 |
transcript.pyannote[736].start |
5241.65909375 |
transcript.pyannote[736].end |
5244.93284375 |
transcript.pyannote[737].speaker |
SPEAKER_11 |
transcript.pyannote[737].start |
5245.38846875 |
transcript.pyannote[737].end |
5270.71784375 |
transcript.pyannote[738].speaker |
SPEAKER_20 |
transcript.pyannote[738].start |
5270.97096875 |
transcript.pyannote[738].end |
5282.58096875 |
transcript.pyannote[739].speaker |
SPEAKER_20 |
transcript.pyannote[739].start |
5283.32346875 |
transcript.pyannote[739].end |
5283.81284375 |
transcript.pyannote[740].speaker |
SPEAKER_11 |
transcript.pyannote[740].start |
5283.42471875 |
transcript.pyannote[740].end |
5285.61846875 |
transcript.pyannote[741].speaker |
SPEAKER_11 |
transcript.pyannote[741].start |
5285.90534375 |
transcript.pyannote[741].end |
5286.36096875 |
transcript.pyannote[742].speaker |
SPEAKER_20 |
transcript.pyannote[742].start |
5286.85034375 |
transcript.pyannote[742].end |
5286.98534375 |
transcript.pyannote[743].speaker |
SPEAKER_11 |
transcript.pyannote[743].start |
5286.98534375 |
transcript.pyannote[743].end |
5309.47971875 |
transcript.pyannote[744].speaker |
SPEAKER_20 |
transcript.pyannote[744].start |
5287.13721875 |
transcript.pyannote[744].end |
5288.20034375 |
transcript.pyannote[745].speaker |
SPEAKER_15 |
transcript.pyannote[745].start |
5288.20034375 |
transcript.pyannote[745].end |
5288.21721875 |
transcript.pyannote[746].speaker |
SPEAKER_11 |
transcript.pyannote[746].start |
5309.73284375 |
transcript.pyannote[746].end |
5320.73534375 |
transcript.pyannote[747].speaker |
SPEAKER_11 |
transcript.pyannote[747].start |
5321.39346875 |
transcript.pyannote[747].end |
5322.38909375 |
transcript.pyannote[748].speaker |
SPEAKER_11 |
transcript.pyannote[748].start |
5322.69284375 |
transcript.pyannote[748].end |
5332.27784375 |
transcript.pyannote[749].speaker |
SPEAKER_20 |
transcript.pyannote[749].start |
5332.39596875 |
transcript.pyannote[749].end |
5355.31221875 |
transcript.pyannote[750].speaker |
SPEAKER_20 |
transcript.pyannote[750].start |
5355.76784375 |
transcript.pyannote[750].end |
5362.82159375 |
transcript.pyannote[751].speaker |
SPEAKER_05 |
transcript.pyannote[751].start |
5363.80034375 |
transcript.pyannote[751].end |
5364.37409375 |
transcript.pyannote[752].speaker |
SPEAKER_05 |
transcript.pyannote[752].start |
5364.67784375 |
transcript.pyannote[752].end |
5365.99409375 |
transcript.pyannote[753].speaker |
SPEAKER_05 |
transcript.pyannote[753].start |
5367.52971875 |
transcript.pyannote[753].end |
5372.42346875 |
transcript.pyannote[754].speaker |
SPEAKER_22 |
transcript.pyannote[754].start |
5372.42346875 |
transcript.pyannote[754].end |
5372.82846875 |
transcript.pyannote[755].speaker |
SPEAKER_05 |
transcript.pyannote[755].start |
5372.92971875 |
transcript.pyannote[755].end |
5379.46034375 |
transcript.pyannote[756].speaker |
SPEAKER_05 |
transcript.pyannote[756].start |
5379.54471875 |
transcript.pyannote[756].end |
5382.46409375 |
transcript.pyannote[757].speaker |
SPEAKER_05 |
transcript.pyannote[757].start |
5383.08846875 |
transcript.pyannote[757].end |
5386.73346875 |
transcript.pyannote[758].speaker |
SPEAKER_05 |
transcript.pyannote[758].start |
5387.35784375 |
transcript.pyannote[758].end |
5388.50534375 |
transcript.pyannote[759].speaker |
SPEAKER_05 |
transcript.pyannote[759].start |
5388.70784375 |
transcript.pyannote[759].end |
5389.77096875 |
transcript.pyannote[760].speaker |
SPEAKER_05 |
transcript.pyannote[760].start |
5389.92284375 |
transcript.pyannote[760].end |
5396.01471875 |
transcript.pyannote[761].speaker |
SPEAKER_05 |
transcript.pyannote[761].start |
5396.31846875 |
transcript.pyannote[761].end |
5398.68096875 |
transcript.pyannote[762].speaker |
SPEAKER_05 |
transcript.pyannote[762].start |
5399.28846875 |
transcript.pyannote[762].end |
5413.41284375 |
transcript.pyannote[763].speaker |
SPEAKER_05 |
transcript.pyannote[763].start |
5413.58159375 |
transcript.pyannote[763].end |
5420.61846875 |
transcript.pyannote[764].speaker |
SPEAKER_07 |
transcript.pyannote[764].start |
5415.67409375 |
transcript.pyannote[764].end |
5418.03659375 |
transcript.pyannote[765].speaker |
SPEAKER_20 |
transcript.pyannote[765].start |
5418.03659375 |
transcript.pyannote[765].end |
5420.31471875 |
transcript.pyannote[766].speaker |
SPEAKER_22 |
transcript.pyannote[766].start |
5420.31471875 |
transcript.pyannote[766].end |
5420.33159375 |
transcript.pyannote[767].speaker |
SPEAKER_20 |
transcript.pyannote[767].start |
5421.04034375 |
transcript.pyannote[767].end |
5422.01909375 |
transcript.pyannote[768].speaker |
SPEAKER_20 |
transcript.pyannote[768].start |
5422.60971875 |
transcript.pyannote[768].end |
5433.61221875 |
transcript.pyannote[769].speaker |
SPEAKER_20 |
transcript.pyannote[769].start |
5433.84846875 |
transcript.pyannote[769].end |
5442.96096875 |
transcript.pyannote[770].speaker |
SPEAKER_20 |
transcript.pyannote[770].start |
5443.29846875 |
transcript.pyannote[770].end |
5471.74971875 |
transcript.pyannote[771].speaker |
SPEAKER_20 |
transcript.pyannote[771].start |
5472.25596875 |
transcript.pyannote[771].end |
5479.57971875 |
transcript.pyannote[772].speaker |
SPEAKER_20 |
transcript.pyannote[772].start |
5479.69784375 |
transcript.pyannote[772].end |
5484.13596875 |
transcript.pyannote[773].speaker |
SPEAKER_20 |
transcript.pyannote[773].start |
5484.47346875 |
transcript.pyannote[773].end |
5487.08909375 |
transcript.pyannote[774].speaker |
SPEAKER_20 |
transcript.pyannote[774].start |
5487.37596875 |
transcript.pyannote[774].end |
5489.82284375 |
transcript.pyannote[775].speaker |
SPEAKER_20 |
transcript.pyannote[775].start |
5490.26159375 |
transcript.pyannote[775].end |
5496.45471875 |
transcript.pyannote[776].speaker |
SPEAKER_20 |
transcript.pyannote[776].start |
5497.28159375 |
transcript.pyannote[776].end |
5501.29784375 |
transcript.pyannote[777].speaker |
SPEAKER_20 |
transcript.pyannote[777].start |
5501.77034375 |
transcript.pyannote[777].end |
5502.90096875 |
transcript.pyannote[778].speaker |
SPEAKER_20 |
transcript.pyannote[778].start |
5503.06971875 |
transcript.pyannote[778].end |
5512.03034375 |
transcript.pyannote[779].speaker |
SPEAKER_20 |
transcript.pyannote[779].start |
5512.41846875 |
transcript.pyannote[779].end |
5517.85221875 |
transcript.pyannote[780].speaker |
SPEAKER_20 |
transcript.pyannote[780].start |
5518.00409375 |
transcript.pyannote[780].end |
5518.81409375 |
transcript.pyannote[781].speaker |
SPEAKER_20 |
transcript.pyannote[781].start |
5519.16846875 |
transcript.pyannote[781].end |
5523.03284375 |
transcript.pyannote[782].speaker |
SPEAKER_20 |
transcript.pyannote[782].start |
5523.80909375 |
transcript.pyannote[782].end |
5524.19721875 |
transcript.pyannote[783].speaker |
SPEAKER_16 |
transcript.pyannote[783].start |
5524.68659375 |
transcript.pyannote[783].end |
5528.39909375 |
transcript.pyannote[784].speaker |
SPEAKER_16 |
transcript.pyannote[784].start |
5528.82096875 |
transcript.pyannote[784].end |
5541.08909375 |
transcript.pyannote[785].speaker |
SPEAKER_16 |
transcript.pyannote[785].start |
5541.40971875 |
transcript.pyannote[785].end |
5593.87409375 |
transcript.pyannote[786].speaker |
SPEAKER_20 |
transcript.pyannote[786].start |
5594.12721875 |
transcript.pyannote[786].end |
5598.51471875 |
transcript.pyannote[787].speaker |
SPEAKER_20 |
transcript.pyannote[787].start |
5598.86909375 |
transcript.pyannote[787].end |
5607.03659375 |
transcript.pyannote[788].speaker |
SPEAKER_16 |
transcript.pyannote[788].start |
5606.58096875 |
transcript.pyannote[788].end |
5606.61471875 |
transcript.pyannote[789].speaker |
SPEAKER_22 |
transcript.pyannote[789].start |
5606.61471875 |
transcript.pyannote[789].end |
5606.71596875 |
transcript.pyannote[790].speaker |
SPEAKER_22 |
transcript.pyannote[790].start |
5607.03659375 |
transcript.pyannote[790].end |
5607.17159375 |
transcript.pyannote[791].speaker |
SPEAKER_20 |
transcript.pyannote[791].start |
5607.07034375 |
transcript.pyannote[791].end |
5611.06971875 |
transcript.pyannote[792].speaker |
SPEAKER_16 |
transcript.pyannote[792].start |
5607.17159375 |
transcript.pyannote[792].end |
5607.22221875 |
transcript.pyannote[793].speaker |
SPEAKER_22 |
transcript.pyannote[793].start |
5607.22221875 |
transcript.pyannote[793].end |
5607.25596875 |
transcript.pyannote[794].speaker |
SPEAKER_20 |
transcript.pyannote[794].start |
5611.96409375 |
transcript.pyannote[794].end |
5619.16971875 |
transcript.pyannote[795].speaker |
SPEAKER_16 |
transcript.pyannote[795].start |
5618.95034375 |
transcript.pyannote[795].end |
5632.38284375 |
transcript.pyannote[796].speaker |
SPEAKER_16 |
transcript.pyannote[796].start |
5632.77096875 |
transcript.pyannote[796].end |
5650.13534375 |
transcript.pyannote[797].speaker |
SPEAKER_20 |
transcript.pyannote[797].start |
5650.13534375 |
transcript.pyannote[797].end |
5651.65409375 |
transcript.pyannote[798].speaker |
SPEAKER_20 |
transcript.pyannote[798].start |
5651.92409375 |
transcript.pyannote[798].end |
5661.69471875 |
transcript.pyannote[799].speaker |
SPEAKER_20 |
transcript.pyannote[799].start |
5662.18409375 |
transcript.pyannote[799].end |
5666.09909375 |
transcript.pyannote[800].speaker |
SPEAKER_20 |
transcript.pyannote[800].start |
5666.30159375 |
transcript.pyannote[800].end |
5686.58534375 |
transcript.pyannote[801].speaker |
SPEAKER_20 |
transcript.pyannote[801].start |
5687.20971875 |
transcript.pyannote[801].end |
5694.24659375 |
transcript.pyannote[802].speaker |
SPEAKER_20 |
transcript.pyannote[802].start |
5694.88784375 |
transcript.pyannote[802].end |
5700.49034375 |
transcript.pyannote[803].speaker |
SPEAKER_20 |
transcript.pyannote[803].start |
5700.77721875 |
transcript.pyannote[803].end |
5701.35096875 |
transcript.pyannote[804].speaker |
SPEAKER_20 |
transcript.pyannote[804].start |
5701.78971875 |
transcript.pyannote[804].end |
5706.36284375 |
transcript.pyannote[805].speaker |
SPEAKER_20 |
transcript.pyannote[805].start |
5706.70034375 |
transcript.pyannote[805].end |
5711.35784375 |
transcript.pyannote[806].speaker |
SPEAKER_20 |
transcript.pyannote[806].start |
5711.71221875 |
transcript.pyannote[806].end |
5729.21159375 |
transcript.pyannote[807].speaker |
SPEAKER_20 |
transcript.pyannote[807].start |
5729.51534375 |
transcript.pyannote[807].end |
5731.54034375 |
transcript.pyannote[808].speaker |
SPEAKER_20 |
transcript.pyannote[808].start |
5731.99596875 |
transcript.pyannote[808].end |
5733.02534375 |
transcript.pyannote[809].speaker |
SPEAKER_20 |
transcript.pyannote[809].start |
5733.41346875 |
transcript.pyannote[809].end |
5736.02909375 |
transcript.pyannote[810].speaker |
SPEAKER_07 |
transcript.pyannote[810].start |
5736.02909375 |
transcript.pyannote[810].end |
5774.48721875 |
transcript.pyannote[811].speaker |
SPEAKER_07 |
transcript.pyannote[811].start |
5774.95971875 |
transcript.pyannote[811].end |
5775.97221875 |
transcript.pyannote[812].speaker |
SPEAKER_20 |
transcript.pyannote[812].start |
5775.97221875 |
transcript.pyannote[812].end |
5786.14784375 |
transcript.pyannote[813].speaker |
SPEAKER_20 |
transcript.pyannote[813].start |
5786.50221875 |
transcript.pyannote[813].end |
5789.05034375 |
transcript.pyannote[814].speaker |
SPEAKER_20 |
transcript.pyannote[814].start |
5789.20221875 |
transcript.pyannote[814].end |
5791.07534375 |
transcript.pyannote[815].speaker |
SPEAKER_20 |
transcript.pyannote[815].start |
5791.46346875 |
transcript.pyannote[815].end |
5799.02346875 |
transcript.pyannote[816].speaker |
SPEAKER_07 |
transcript.pyannote[816].start |
5799.02346875 |
transcript.pyannote[816].end |
5812.96221875 |
transcript.pyannote[817].speaker |
SPEAKER_20 |
transcript.pyannote[817].start |
5812.96221875 |
transcript.pyannote[817].end |
5814.41346875 |
transcript.pyannote[818].speaker |
SPEAKER_20 |
transcript.pyannote[818].start |
5815.12221875 |
transcript.pyannote[818].end |
5819.00346875 |
transcript.pyannote[819].speaker |
SPEAKER_20 |
transcript.pyannote[819].start |
5819.37471875 |
transcript.pyannote[819].end |
5820.80909375 |
transcript.pyannote[820].speaker |
SPEAKER_20 |
transcript.pyannote[820].start |
5821.23096875 |
transcript.pyannote[820].end |
5823.08721875 |
transcript.pyannote[821].speaker |
SPEAKER_20 |
transcript.pyannote[821].start |
5823.74534375 |
transcript.pyannote[821].end |
5824.97721875 |
transcript.pyannote[822].speaker |
SPEAKER_20 |
transcript.pyannote[822].start |
5825.48346875 |
transcript.pyannote[822].end |
5827.87971875 |
transcript.pyannote[823].speaker |
SPEAKER_20 |
transcript.pyannote[823].start |
5828.16659375 |
transcript.pyannote[823].end |
5829.95534375 |
transcript.pyannote[824].speaker |
SPEAKER_20 |
transcript.pyannote[824].start |
5830.56284375 |
transcript.pyannote[824].end |
5832.03096875 |
transcript.pyannote[825].speaker |
SPEAKER_07 |
transcript.pyannote[825].start |
5832.03096875 |
transcript.pyannote[825].end |
5854.60971875 |
transcript.pyannote[826].speaker |
SPEAKER_20 |
transcript.pyannote[826].start |
5835.96284375 |
transcript.pyannote[826].end |
5836.03034375 |
transcript.pyannote[827].speaker |
SPEAKER_20 |
transcript.pyannote[827].start |
5854.60971875 |
transcript.pyannote[827].end |
5854.77846875 |
transcript.pyannote[828].speaker |
SPEAKER_07 |
transcript.pyannote[828].start |
5854.77846875 |
transcript.pyannote[828].end |
5854.82909375 |
transcript.pyannote[829].speaker |
SPEAKER_20 |
transcript.pyannote[829].start |
5854.82909375 |
transcript.pyannote[829].end |
5855.48721875 |
transcript.pyannote[830].speaker |
SPEAKER_07 |
transcript.pyannote[830].start |
5854.86284375 |
transcript.pyannote[830].end |
5855.14971875 |
transcript.pyannote[831].speaker |
SPEAKER_07 |
transcript.pyannote[831].start |
5855.48721875 |
transcript.pyannote[831].end |
5855.84159375 |
transcript.pyannote[832].speaker |
SPEAKER_20 |
transcript.pyannote[832].start |
5855.84159375 |
transcript.pyannote[832].end |
5855.89221875 |
transcript.pyannote[833].speaker |
SPEAKER_07 |
transcript.pyannote[833].start |
5855.89221875 |
transcript.pyannote[833].end |
5856.22971875 |
transcript.pyannote[834].speaker |
SPEAKER_20 |
transcript.pyannote[834].start |
5856.22971875 |
transcript.pyannote[834].end |
5856.71909375 |
transcript.pyannote[835].speaker |
SPEAKER_07 |
transcript.pyannote[835].start |
5856.71909375 |
transcript.pyannote[835].end |
5856.97221875 |
transcript.pyannote[836].speaker |
SPEAKER_20 |
transcript.pyannote[836].start |
5856.97221875 |
transcript.pyannote[836].end |
5865.00471875 |
transcript.pyannote[837].speaker |
SPEAKER_07 |
transcript.pyannote[837].start |
5858.42346875 |
transcript.pyannote[837].end |
5858.81159375 |
transcript.pyannote[838].speaker |
SPEAKER_07 |
transcript.pyannote[838].start |
5858.99721875 |
transcript.pyannote[838].end |
5860.39784375 |
transcript.pyannote[839].speaker |
SPEAKER_07 |
transcript.pyannote[839].start |
5864.56596875 |
transcript.pyannote[839].end |
5866.43909375 |
transcript.pyannote[840].speaker |
SPEAKER_20 |
transcript.pyannote[840].start |
5865.56159375 |
transcript.pyannote[840].end |
5866.00034375 |
transcript.pyannote[841].speaker |
SPEAKER_20 |
transcript.pyannote[841].start |
5866.38846875 |
transcript.pyannote[841].end |
5873.05409375 |
transcript.pyannote[842].speaker |
SPEAKER_07 |
transcript.pyannote[842].start |
5873.05409375 |
transcript.pyannote[842].end |
5877.96471875 |
transcript.pyannote[843].speaker |
SPEAKER_20 |
transcript.pyannote[843].start |
5877.96471875 |
transcript.pyannote[843].end |
5885.20409375 |
transcript.pyannote[844].speaker |
SPEAKER_05 |
transcript.pyannote[844].start |
5885.77784375 |
transcript.pyannote[844].end |
5903.53034375 |
transcript.pyannote[845].speaker |
SPEAKER_25 |
transcript.pyannote[845].start |
5910.38159375 |
transcript.pyannote[845].end |
5914.95471875 |
transcript.pyannote[846].speaker |
SPEAKER_05 |
transcript.pyannote[846].start |
5915.02221875 |
transcript.pyannote[846].end |
5918.39721875 |
transcript.pyannote[847].speaker |
SPEAKER_02 |
transcript.pyannote[847].start |
5926.34534375 |
transcript.pyannote[847].end |
5926.69971875 |
transcript.pyannote[848].speaker |
SPEAKER_25 |
transcript.pyannote[848].start |
5926.80096875 |
transcript.pyannote[848].end |
5942.86596875 |
transcript.pyannote[849].speaker |
SPEAKER_00 |
transcript.pyannote[849].start |
5933.44971875 |
transcript.pyannote[849].end |
5933.55096875 |
transcript.pyannote[850].speaker |
SPEAKER_25 |
transcript.pyannote[850].start |
5943.01784375 |
transcript.pyannote[850].end |
5950.02096875 |
transcript.pyannote[851].speaker |
SPEAKER_25 |
transcript.pyannote[851].start |
5950.15596875 |
transcript.pyannote[851].end |
5973.78096875 |
transcript.pyannote[852].speaker |
SPEAKER_25 |
transcript.pyannote[852].start |
5974.11846875 |
transcript.pyannote[852].end |
5978.20221875 |
transcript.pyannote[853].speaker |
SPEAKER_25 |
transcript.pyannote[853].start |
5978.48909375 |
transcript.pyannote[853].end |
5980.80096875 |
transcript.pyannote[854].speaker |
SPEAKER_25 |
transcript.pyannote[854].start |
5980.91909375 |
transcript.pyannote[854].end |
5998.21596875 |
transcript.pyannote[855].speaker |
SPEAKER_25 |
transcript.pyannote[855].start |
5998.53659375 |
transcript.pyannote[855].end |
6008.15534375 |
transcript.pyannote[856].speaker |
SPEAKER_11 |
transcript.pyannote[856].start |
6008.77971875 |
transcript.pyannote[856].end |
6010.46721875 |
transcript.pyannote[857].speaker |
SPEAKER_11 |
transcript.pyannote[857].start |
6010.83846875 |
transcript.pyannote[857].end |
6016.18784375 |
transcript.pyannote[858].speaker |
SPEAKER_11 |
transcript.pyannote[858].start |
6016.44096875 |
transcript.pyannote[858].end |
6020.81159375 |
transcript.pyannote[859].speaker |
SPEAKER_11 |
transcript.pyannote[859].start |
6020.91284375 |
transcript.pyannote[859].end |
6024.81096875 |
transcript.pyannote[860].speaker |
SPEAKER_11 |
transcript.pyannote[860].start |
6025.13159375 |
transcript.pyannote[860].end |
6026.92034375 |
transcript.pyannote[861].speaker |
SPEAKER_11 |
transcript.pyannote[861].start |
6027.12284375 |
transcript.pyannote[861].end |
6062.99909375 |
transcript.pyannote[862].speaker |
SPEAKER_06 |
transcript.pyannote[862].start |
6049.51596875 |
transcript.pyannote[862].end |
6049.54971875 |
transcript.pyannote[863].speaker |
SPEAKER_11 |
transcript.pyannote[863].start |
6063.57284375 |
transcript.pyannote[863].end |
6070.74471875 |
transcript.pyannote[864].speaker |
SPEAKER_11 |
transcript.pyannote[864].start |
6070.89659375 |
transcript.pyannote[864].end |
6072.02721875 |
transcript.pyannote[865].speaker |
SPEAKER_11 |
transcript.pyannote[865].start |
6072.44909375 |
transcript.pyannote[865].end |
6096.27659375 |
transcript.pyannote[866].speaker |
SPEAKER_11 |
transcript.pyannote[866].start |
6096.68159375 |
transcript.pyannote[866].end |
6098.43659375 |
transcript.pyannote[867].speaker |
SPEAKER_11 |
transcript.pyannote[867].start |
6098.87534375 |
transcript.pyannote[867].end |
6100.76534375 |
transcript.pyannote[868].speaker |
SPEAKER_11 |
transcript.pyannote[868].start |
6101.50784375 |
transcript.pyannote[868].end |
6104.00534375 |
transcript.pyannote[869].speaker |
SPEAKER_11 |
transcript.pyannote[869].start |
6104.27534375 |
transcript.pyannote[869].end |
6127.00596875 |
transcript.pyannote[870].speaker |
SPEAKER_25 |
transcript.pyannote[870].start |
6127.20846875 |
transcript.pyannote[870].end |
6134.95409375 |
transcript.pyannote[871].speaker |
SPEAKER_25 |
transcript.pyannote[871].start |
6135.13971875 |
transcript.pyannote[871].end |
6144.64034375 |
transcript.pyannote[872].speaker |
SPEAKER_25 |
transcript.pyannote[872].start |
6144.85971875 |
transcript.pyannote[872].end |
6152.45346875 |
transcript.pyannote[873].speaker |
SPEAKER_22 |
transcript.pyannote[873].start |
6152.80784375 |
transcript.pyannote[873].end |
6153.49971875 |
transcript.pyannote[874].speaker |
SPEAKER_25 |
transcript.pyannote[874].start |
6153.44909375 |
transcript.pyannote[874].end |
6158.30909375 |
transcript.pyannote[875].speaker |
SPEAKER_25 |
transcript.pyannote[875].start |
6158.52846875 |
transcript.pyannote[875].end |
6163.97909375 |
transcript.pyannote[876].speaker |
SPEAKER_25 |
transcript.pyannote[876].start |
6164.02971875 |
transcript.pyannote[876].end |
6167.35409375 |
transcript.pyannote[877].speaker |
SPEAKER_25 |
transcript.pyannote[877].start |
6167.59034375 |
transcript.pyannote[877].end |
6172.31534375 |
transcript.pyannote[878].speaker |
SPEAKER_11 |
transcript.pyannote[878].start |
6172.80471875 |
transcript.pyannote[878].end |
6173.14221875 |
transcript.pyannote[879].speaker |
SPEAKER_11 |
transcript.pyannote[879].start |
6173.20971875 |
transcript.pyannote[879].end |
6179.74034375 |
transcript.pyannote[880].speaker |
SPEAKER_11 |
transcript.pyannote[880].start |
6179.97659375 |
transcript.pyannote[880].end |
6185.22471875 |
transcript.pyannote[881].speaker |
SPEAKER_11 |
transcript.pyannote[881].start |
6185.59596875 |
transcript.pyannote[881].end |
6186.33846875 |
transcript.pyannote[882].speaker |
SPEAKER_11 |
transcript.pyannote[882].start |
6186.69284375 |
transcript.pyannote[882].end |
6187.31721875 |
transcript.pyannote[883].speaker |
SPEAKER_11 |
transcript.pyannote[883].start |
6187.63784375 |
transcript.pyannote[883].end |
6197.76284375 |
transcript.pyannote[884].speaker |
SPEAKER_25 |
transcript.pyannote[884].start |
6198.28596875 |
transcript.pyannote[884].end |
6205.01909375 |
transcript.pyannote[885].speaker |
SPEAKER_25 |
transcript.pyannote[885].start |
6206.92596875 |
transcript.pyannote[885].end |
6255.10409375 |
transcript.pyannote[886].speaker |
SPEAKER_16 |
transcript.pyannote[886].start |
6254.88471875 |
transcript.pyannote[886].end |
6255.35721875 |
transcript.pyannote[887].speaker |
SPEAKER_16 |
transcript.pyannote[887].start |
6255.77909375 |
transcript.pyannote[887].end |
6269.53221875 |
transcript.pyannote[888].speaker |
SPEAKER_16 |
transcript.pyannote[888].start |
6269.90346875 |
transcript.pyannote[888].end |
6284.46659375 |
transcript.pyannote[889].speaker |
SPEAKER_00 |
transcript.pyannote[889].start |
6273.49784375 |
transcript.pyannote[889].end |
6273.97034375 |
transcript.pyannote[890].speaker |
SPEAKER_25 |
transcript.pyannote[890].start |
6284.68596875 |
transcript.pyannote[890].end |
6297.35909375 |
transcript.pyannote[891].speaker |
SPEAKER_16 |
transcript.pyannote[891].start |
6288.06096875 |
transcript.pyannote[891].end |
6288.46596875 |
transcript.pyannote[892].speaker |
SPEAKER_25 |
transcript.pyannote[892].start |
6297.83159375 |
transcript.pyannote[892].end |
6301.05471875 |
transcript.pyannote[893].speaker |
SPEAKER_16 |
transcript.pyannote[893].start |
6301.08846875 |
transcript.pyannote[893].end |
6301.56096875 |
transcript.pyannote[894].speaker |
SPEAKER_16 |
transcript.pyannote[894].start |
6301.94909375 |
transcript.pyannote[894].end |
6320.76471875 |
transcript.pyannote[895].speaker |
SPEAKER_25 |
transcript.pyannote[895].start |
6321.03471875 |
transcript.pyannote[895].end |
6326.28284375 |
transcript.pyannote[896].speaker |
SPEAKER_25 |
transcript.pyannote[896].start |
6326.53596875 |
transcript.pyannote[896].end |
6349.62096875 |
transcript.pyannote[897].speaker |
SPEAKER_22 |
transcript.pyannote[897].start |
6332.17221875 |
transcript.pyannote[897].end |
6332.57721875 |
transcript.pyannote[898].speaker |
SPEAKER_00 |
transcript.pyannote[898].start |
6342.17909375 |
transcript.pyannote[898].end |
6342.19596875 |
transcript.pyannote[899].speaker |
SPEAKER_22 |
transcript.pyannote[899].start |
6342.19596875 |
transcript.pyannote[899].end |
6342.63471875 |
transcript.pyannote[900].speaker |
SPEAKER_25 |
transcript.pyannote[900].start |
6349.90784375 |
transcript.pyannote[900].end |
6361.61909375 |
transcript.pyannote[901].speaker |
SPEAKER_25 |
transcript.pyannote[901].start |
6361.82159375 |
transcript.pyannote[901].end |
6423.65159375 |
transcript.pyannote[902].speaker |
SPEAKER_07 |
transcript.pyannote[902].start |
6423.87096875 |
transcript.pyannote[902].end |
6465.40034375 |
transcript.pyannote[903].speaker |
SPEAKER_25 |
transcript.pyannote[903].start |
6427.75221875 |
transcript.pyannote[903].end |
6427.85346875 |
transcript.pyannote[904].speaker |
SPEAKER_25 |
transcript.pyannote[904].start |
6430.99221875 |
transcript.pyannote[904].end |
6431.44784375 |
transcript.pyannote[905].speaker |
SPEAKER_00 |
transcript.pyannote[905].start |
6431.44784375 |
transcript.pyannote[905].end |
6431.49846875 |
transcript.pyannote[906].speaker |
SPEAKER_00 |
transcript.pyannote[906].start |
6436.66221875 |
transcript.pyannote[906].end |
6437.10096875 |
transcript.pyannote[907].speaker |
SPEAKER_00 |
transcript.pyannote[907].start |
6439.42971875 |
transcript.pyannote[907].end |
6439.78409375 |
transcript.pyannote[908].speaker |
SPEAKER_22 |
transcript.pyannote[908].start |
6457.21596875 |
transcript.pyannote[908].end |
6457.77284375 |
transcript.pyannote[909].speaker |
SPEAKER_25 |
transcript.pyannote[909].start |
6465.51846875 |
transcript.pyannote[909].end |
6472.50471875 |
transcript.pyannote[910].speaker |
SPEAKER_07 |
transcript.pyannote[910].start |
6471.62721875 |
transcript.pyannote[910].end |
6472.36971875 |
transcript.pyannote[911].speaker |
SPEAKER_25 |
transcript.pyannote[911].start |
6472.60596875 |
transcript.pyannote[911].end |
6487.40534375 |
transcript.pyannote[912].speaker |
SPEAKER_25 |
transcript.pyannote[912].start |
6487.70909375 |
transcript.pyannote[912].end |
6489.12659375 |
transcript.pyannote[913].speaker |
SPEAKER_25 |
transcript.pyannote[913].start |
6489.39659375 |
transcript.pyannote[913].end |
6501.41159375 |
transcript.pyannote[914].speaker |
SPEAKER_07 |
transcript.pyannote[914].start |
6500.29784375 |
transcript.pyannote[914].end |
6502.91346875 |
transcript.pyannote[915].speaker |
SPEAKER_25 |
transcript.pyannote[915].start |
6501.98534375 |
transcript.pyannote[915].end |
6508.46534375 |
transcript.pyannote[916].speaker |
SPEAKER_25 |
transcript.pyannote[916].start |
6508.75221875 |
transcript.pyannote[916].end |
6527.17971875 |
transcript.pyannote[917].speaker |
SPEAKER_25 |
transcript.pyannote[917].start |
6527.21346875 |
transcript.pyannote[917].end |
6557.04846875 |
transcript.pyannote[918].speaker |
SPEAKER_25 |
transcript.pyannote[918].start |
6557.26784375 |
transcript.pyannote[918].end |
6558.19596875 |
transcript.pyannote[919].speaker |
SPEAKER_25 |
transcript.pyannote[919].start |
6558.63471875 |
transcript.pyannote[919].end |
6560.76096875 |
transcript.pyannote[920].speaker |
SPEAKER_25 |
transcript.pyannote[920].start |
6561.09846875 |
transcript.pyannote[920].end |
6563.30909375 |
transcript.pyannote[921].speaker |
SPEAKER_16 |
transcript.pyannote[921].start |
6563.44409375 |
transcript.pyannote[921].end |
6570.81846875 |
transcript.pyannote[922].speaker |
SPEAKER_16 |
transcript.pyannote[922].start |
6571.18971875 |
transcript.pyannote[922].end |
6576.43784375 |
transcript.pyannote[923].speaker |
SPEAKER_25 |
transcript.pyannote[923].start |
6576.69096875 |
transcript.pyannote[923].end |
6584.95971875 |
transcript.pyannote[924].speaker |
SPEAKER_25 |
transcript.pyannote[924].start |
6585.01034375 |
transcript.pyannote[924].end |
6585.02721875 |
transcript.pyannote[925].speaker |
SPEAKER_25 |
transcript.pyannote[925].start |
6585.21284375 |
transcript.pyannote[925].end |
6598.64534375 |
transcript.pyannote[926].speaker |
SPEAKER_25 |
transcript.pyannote[926].start |
6599.23596875 |
transcript.pyannote[926].end |
6624.10971875 |
transcript.pyannote[927].speaker |
SPEAKER_25 |
transcript.pyannote[927].start |
6624.34596875 |
transcript.pyannote[927].end |
6627.29909375 |
transcript.pyannote[928].speaker |
SPEAKER_16 |
transcript.pyannote[928].start |
6627.46784375 |
transcript.pyannote[928].end |
6629.83034375 |
transcript.pyannote[929].speaker |
SPEAKER_25 |
transcript.pyannote[929].start |
6630.18471875 |
transcript.pyannote[929].end |
6648.62909375 |
transcript.pyannote[930].speaker |
SPEAKER_16 |
transcript.pyannote[930].start |
6648.84846875 |
transcript.pyannote[930].end |
6651.26159375 |
transcript.pyannote[931].speaker |
SPEAKER_05 |
transcript.pyannote[931].start |
6651.26159375 |
transcript.pyannote[931].end |
6651.39659375 |
transcript.pyannote[932].speaker |
SPEAKER_25 |
transcript.pyannote[932].start |
6651.39659375 |
transcript.pyannote[932].end |
6653.55659375 |
transcript.pyannote[933].speaker |
SPEAKER_05 |
transcript.pyannote[933].start |
6653.75909375 |
transcript.pyannote[933].end |
6659.90159375 |
transcript.pyannote[934].speaker |
SPEAKER_26 |
transcript.pyannote[934].start |
6665.38596875 |
transcript.pyannote[934].end |
6669.41909375 |
transcript.pyannote[935].speaker |
SPEAKER_26 |
transcript.pyannote[935].start |
6669.50346875 |
transcript.pyannote[935].end |
6671.34284375 |
transcript.pyannote[936].speaker |
SPEAKER_26 |
transcript.pyannote[936].start |
6671.93346875 |
transcript.pyannote[936].end |
6673.26659375 |
transcript.pyannote[937].speaker |
SPEAKER_05 |
transcript.pyannote[937].start |
6673.45221875 |
transcript.pyannote[937].end |
6674.98784375 |
transcript.pyannote[938].speaker |
SPEAKER_26 |
transcript.pyannote[938].start |
6676.48971875 |
transcript.pyannote[938].end |
6677.01284375 |
transcript.pyannote[939].speaker |
SPEAKER_26 |
transcript.pyannote[939].start |
6677.48534375 |
transcript.pyannote[939].end |
6685.88909375 |
transcript.pyannote[940].speaker |
SPEAKER_05 |
transcript.pyannote[940].start |
6680.13471875 |
transcript.pyannote[940].end |
6680.15159375 |
transcript.pyannote[941].speaker |
SPEAKER_22 |
transcript.pyannote[941].start |
6680.15159375 |
transcript.pyannote[941].end |
6680.16846875 |
transcript.pyannote[942].speaker |
SPEAKER_05 |
transcript.pyannote[942].start |
6680.16846875 |
transcript.pyannote[942].end |
6680.32034375 |
transcript.pyannote[943].speaker |
SPEAKER_22 |
transcript.pyannote[943].start |
6680.32034375 |
transcript.pyannote[943].end |
6680.80971875 |
transcript.pyannote[944].speaker |
SPEAKER_05 |
transcript.pyannote[944].start |
6680.80971875 |
transcript.pyannote[944].end |
6680.97846875 |
transcript.pyannote[945].speaker |
SPEAKER_22 |
transcript.pyannote[945].start |
6680.97846875 |
transcript.pyannote[945].end |
6681.26534375 |
transcript.pyannote[946].speaker |
SPEAKER_22 |
transcript.pyannote[946].start |
6685.78784375 |
transcript.pyannote[946].end |
6686.12534375 |
transcript.pyannote[947].speaker |
SPEAKER_26 |
transcript.pyannote[947].start |
6686.02409375 |
transcript.pyannote[947].end |
6688.79159375 |
transcript.pyannote[948].speaker |
SPEAKER_26 |
transcript.pyannote[948].start |
6689.33159375 |
transcript.pyannote[948].end |
6704.41784375 |
transcript.pyannote[949].speaker |
SPEAKER_00 |
transcript.pyannote[949].start |
6701.26221875 |
transcript.pyannote[949].end |
6701.92034375 |
transcript.pyannote[950].speaker |
SPEAKER_26 |
transcript.pyannote[950].start |
6705.44721875 |
transcript.pyannote[950].end |
6725.27534375 |
transcript.pyannote[951].speaker |
SPEAKER_00 |
transcript.pyannote[951].start |
6716.11221875 |
transcript.pyannote[951].end |
6716.14596875 |
transcript.pyannote[952].speaker |
SPEAKER_22 |
transcript.pyannote[952].start |
6716.14596875 |
transcript.pyannote[952].end |
6716.31471875 |
transcript.pyannote[953].speaker |
SPEAKER_00 |
transcript.pyannote[953].start |
6716.31471875 |
transcript.pyannote[953].end |
6716.36534375 |
transcript.pyannote[954].speaker |
SPEAKER_26 |
transcript.pyannote[954].start |
6725.79846875 |
transcript.pyannote[954].end |
6727.33409375 |
transcript.pyannote[955].speaker |
SPEAKER_26 |
transcript.pyannote[955].start |
6727.40159375 |
transcript.pyannote[955].end |
6732.37971875 |
transcript.pyannote[956].speaker |
SPEAKER_00 |
transcript.pyannote[956].start |
6729.32534375 |
transcript.pyannote[956].end |
6729.71346875 |
transcript.pyannote[957].speaker |
SPEAKER_26 |
transcript.pyannote[957].start |
6732.71721875 |
transcript.pyannote[957].end |
6755.63346875 |
transcript.pyannote[958].speaker |
SPEAKER_26 |
transcript.pyannote[958].start |
6755.98784375 |
transcript.pyannote[958].end |
6759.27846875 |
transcript.pyannote[959].speaker |
SPEAKER_22 |
transcript.pyannote[959].start |
6759.27846875 |
transcript.pyannote[959].end |
6759.36284375 |
transcript.pyannote[960].speaker |
SPEAKER_26 |
transcript.pyannote[960].start |
6759.36284375 |
transcript.pyannote[960].end |
6761.32034375 |
transcript.pyannote[961].speaker |
SPEAKER_26 |
transcript.pyannote[961].start |
6761.79284375 |
transcript.pyannote[961].end |
6766.78784375 |
transcript.pyannote[962].speaker |
SPEAKER_26 |
transcript.pyannote[962].start |
6767.83409375 |
transcript.pyannote[962].end |
6770.68596875 |
transcript.pyannote[963].speaker |
SPEAKER_26 |
transcript.pyannote[963].start |
6771.34409375 |
transcript.pyannote[963].end |
6781.41846875 |
transcript.pyannote[964].speaker |
SPEAKER_26 |
transcript.pyannote[964].start |
6781.68846875 |
transcript.pyannote[964].end |
6782.61659375 |
transcript.pyannote[965].speaker |
SPEAKER_26 |
transcript.pyannote[965].start |
6783.08909375 |
transcript.pyannote[965].end |
6807.81096875 |
transcript.pyannote[966].speaker |
SPEAKER_26 |
transcript.pyannote[966].start |
6808.19909375 |
transcript.pyannote[966].end |
6835.62096875 |
transcript.pyannote[967].speaker |
SPEAKER_07 |
transcript.pyannote[967].start |
6835.68846875 |
transcript.pyannote[967].end |
6861.76034375 |
transcript.pyannote[968].speaker |
SPEAKER_00 |
transcript.pyannote[968].start |
6847.24784375 |
transcript.pyannote[968].end |
6847.75409375 |
transcript.pyannote[969].speaker |
SPEAKER_00 |
transcript.pyannote[969].start |
6848.36159375 |
transcript.pyannote[969].end |
6848.44596875 |
transcript.pyannote[970].speaker |
SPEAKER_05 |
transcript.pyannote[970].start |
6848.44596875 |
transcript.pyannote[970].end |
6848.71596875 |
transcript.pyannote[971].speaker |
SPEAKER_00 |
transcript.pyannote[971].start |
6848.71596875 |
transcript.pyannote[971].end |
6848.74971875 |
transcript.pyannote[972].speaker |
SPEAKER_03 |
transcript.pyannote[972].start |
6858.70596875 |
transcript.pyannote[972].end |
6858.79034375 |
transcript.pyannote[973].speaker |
SPEAKER_26 |
transcript.pyannote[973].start |
6858.79034375 |
transcript.pyannote[973].end |
6859.26284375 |
transcript.pyannote[974].speaker |
SPEAKER_26 |
transcript.pyannote[974].start |
6861.40596875 |
transcript.pyannote[974].end |
6863.85284375 |
transcript.pyannote[975].speaker |
SPEAKER_07 |
transcript.pyannote[975].start |
6863.53221875 |
transcript.pyannote[975].end |
6863.80221875 |
transcript.pyannote[976].speaker |
SPEAKER_26 |
transcript.pyannote[976].start |
6864.00471875 |
transcript.pyannote[976].end |
6888.57471875 |
transcript.pyannote[977].speaker |
SPEAKER_00 |
transcript.pyannote[977].start |
6880.15409375 |
transcript.pyannote[977].end |
6880.45784375 |
transcript.pyannote[978].speaker |
SPEAKER_26 |
transcript.pyannote[978].start |
6888.69284375 |
transcript.pyannote[978].end |
6914.14034375 |
transcript.pyannote[979].speaker |
SPEAKER_22 |
transcript.pyannote[979].start |
6902.54721875 |
transcript.pyannote[979].end |
6902.78346875 |
transcript.pyannote[980].speaker |
SPEAKER_00 |
transcript.pyannote[980].start |
6902.78346875 |
transcript.pyannote[980].end |
6902.80034375 |
transcript.pyannote[981].speaker |
SPEAKER_26 |
transcript.pyannote[981].start |
6914.15721875 |
transcript.pyannote[981].end |
6915.15284375 |
transcript.pyannote[982].speaker |
SPEAKER_26 |
transcript.pyannote[982].start |
6915.54096875 |
transcript.pyannote[982].end |
6932.87159375 |
transcript.pyannote[983].speaker |
SPEAKER_26 |
transcript.pyannote[983].start |
6934.32284375 |
transcript.pyannote[983].end |
6934.71096875 |
transcript.pyannote[984].speaker |
SPEAKER_07 |
transcript.pyannote[984].start |
6935.77409375 |
transcript.pyannote[984].end |
6973.30409375 |
transcript.pyannote[985].speaker |
SPEAKER_26 |
transcript.pyannote[985].start |
6937.29284375 |
transcript.pyannote[985].end |
6937.34346875 |
transcript.pyannote[986].speaker |
SPEAKER_26 |
transcript.pyannote[986].start |
6937.36034375 |
transcript.pyannote[986].end |
6937.37721875 |
transcript.pyannote[987].speaker |
SPEAKER_26 |
transcript.pyannote[987].start |
6939.21659375 |
transcript.pyannote[987].end |
6939.57096875 |
transcript.pyannote[988].speaker |
SPEAKER_22 |
transcript.pyannote[988].start |
6939.57096875 |
transcript.pyannote[988].end |
6939.58784375 |
transcript.pyannote[989].speaker |
SPEAKER_26 |
transcript.pyannote[989].start |
6941.62971875 |
transcript.pyannote[989].end |
6942.03471875 |
transcript.pyannote[990].speaker |
SPEAKER_22 |
transcript.pyannote[990].start |
6942.03471875 |
transcript.pyannote[990].end |
6943.21596875 |
transcript.pyannote[991].speaker |
SPEAKER_22 |
transcript.pyannote[991].start |
6947.21534375 |
transcript.pyannote[991].end |
6948.00846875 |
transcript.pyannote[992].speaker |
SPEAKER_00 |
transcript.pyannote[992].start |
6948.00846875 |
transcript.pyannote[992].end |
6948.02534375 |
transcript.pyannote[993].speaker |
SPEAKER_10 |
transcript.pyannote[993].start |
6957.07034375 |
transcript.pyannote[993].end |
6957.74534375 |
transcript.pyannote[994].speaker |
SPEAKER_00 |
transcript.pyannote[994].start |
6957.74534375 |
transcript.pyannote[994].end |
6957.94784375 |
transcript.pyannote[995].speaker |
SPEAKER_00 |
transcript.pyannote[995].start |
6957.98159375 |
transcript.pyannote[995].end |
6958.25159375 |
transcript.pyannote[996].speaker |
SPEAKER_00 |
transcript.pyannote[996].start |
6960.20909375 |
transcript.pyannote[996].end |
6960.54659375 |
transcript.pyannote[997].speaker |
SPEAKER_26 |
transcript.pyannote[997].start |
6967.90409375 |
transcript.pyannote[997].end |
6968.46096875 |
transcript.pyannote[998].speaker |
SPEAKER_26 |
transcript.pyannote[998].start |
6968.83221875 |
transcript.pyannote[998].end |
6969.35534375 |
transcript.pyannote[999].speaker |
SPEAKER_26 |
transcript.pyannote[999].start |
6973.10159375 |
transcript.pyannote[999].end |
7022.12346875 |
transcript.pyannote[1000].speaker |
SPEAKER_26 |
transcript.pyannote[1000].start |
7022.22471875 |
transcript.pyannote[1000].end |
7061.59409375 |
transcript.pyannote[1001].speaker |
SPEAKER_02 |
transcript.pyannote[1001].start |
7027.64159375 |
transcript.pyannote[1001].end |
7027.96221875 |
transcript.pyannote[1002].speaker |
SPEAKER_22 |
transcript.pyannote[1002].start |
7027.96221875 |
transcript.pyannote[1002].end |
7028.33346875 |
transcript.pyannote[1003].speaker |
SPEAKER_00 |
transcript.pyannote[1003].start |
7028.33346875 |
transcript.pyannote[1003].end |
7029.04221875 |
transcript.pyannote[1004].speaker |
SPEAKER_22 |
transcript.pyannote[1004].start |
7029.04221875 |
transcript.pyannote[1004].end |
7029.34596875 |
transcript.pyannote[1005].speaker |
SPEAKER_00 |
transcript.pyannote[1005].start |
7029.34596875 |
transcript.pyannote[1005].end |
7029.44721875 |
transcript.pyannote[1006].speaker |
SPEAKER_26 |
transcript.pyannote[1006].start |
7061.91471875 |
transcript.pyannote[1006].end |
7063.82159375 |
transcript.pyannote[1007].speaker |
SPEAKER_26 |
transcript.pyannote[1007].start |
7063.90596875 |
transcript.pyannote[1007].end |
7070.77409375 |
transcript.pyannote[1008].speaker |
SPEAKER_22 |
transcript.pyannote[1008].start |
7065.74534375 |
transcript.pyannote[1008].end |
7065.96471875 |
transcript.pyannote[1009].speaker |
SPEAKER_00 |
transcript.pyannote[1009].start |
7065.96471875 |
transcript.pyannote[1009].end |
7066.47096875 |
transcript.pyannote[1010].speaker |
SPEAKER_26 |
transcript.pyannote[1010].start |
7071.22971875 |
transcript.pyannote[1010].end |
7082.77221875 |
transcript.pyannote[1011].speaker |
SPEAKER_26 |
transcript.pyannote[1011].start |
7083.17721875 |
transcript.pyannote[1011].end |
7089.08346875 |
transcript.pyannote[1012].speaker |
SPEAKER_07 |
transcript.pyannote[1012].start |
7085.79284375 |
transcript.pyannote[1012].end |
7086.83909375 |
transcript.pyannote[1013].speaker |
SPEAKER_07 |
transcript.pyannote[1013].start |
7089.13409375 |
transcript.pyannote[1013].end |
7112.13471875 |
transcript.pyannote[1014].speaker |
SPEAKER_22 |
transcript.pyannote[1014].start |
7097.85846875 |
transcript.pyannote[1014].end |
7098.41534375 |
transcript.pyannote[1015].speaker |
SPEAKER_00 |
transcript.pyannote[1015].start |
7098.41534375 |
transcript.pyannote[1015].end |
7098.43221875 |
transcript.pyannote[1016].speaker |
SPEAKER_22 |
transcript.pyannote[1016].start |
7099.71471875 |
transcript.pyannote[1016].end |
7099.74846875 |
transcript.pyannote[1017].speaker |
SPEAKER_30 |
transcript.pyannote[1017].start |
7099.74846875 |
transcript.pyannote[1017].end |
7100.42346875 |
transcript.pyannote[1018].speaker |
SPEAKER_26 |
transcript.pyannote[1018].start |
7109.58659375 |
transcript.pyannote[1018].end |
7111.03784375 |
transcript.pyannote[1019].speaker |
SPEAKER_26 |
transcript.pyannote[1019].start |
7111.54409375 |
transcript.pyannote[1019].end |
7131.47346875 |
transcript.pyannote[1020].speaker |
SPEAKER_26 |
transcript.pyannote[1020].start |
7131.79409375 |
transcript.pyannote[1020].end |
7144.93971875 |
transcript.pyannote[1021].speaker |
SPEAKER_26 |
transcript.pyannote[1021].start |
7145.04096875 |
transcript.pyannote[1021].end |
7175.29784375 |
transcript.pyannote[1022].speaker |
SPEAKER_26 |
transcript.pyannote[1022].start |
7175.55096875 |
transcript.pyannote[1022].end |
7181.45721875 |
transcript.pyannote[1023].speaker |
SPEAKER_26 |
transcript.pyannote[1023].start |
7181.59221875 |
transcript.pyannote[1023].end |
7185.70971875 |
transcript.pyannote[1024].speaker |
SPEAKER_26 |
transcript.pyannote[1024].start |
7186.08096875 |
transcript.pyannote[1024].end |
7189.59096875 |
transcript.pyannote[1025].speaker |
SPEAKER_07 |
transcript.pyannote[1025].start |
7190.21534375 |
transcript.pyannote[1025].end |
7201.47096875 |
transcript.pyannote[1026].speaker |
SPEAKER_26 |
transcript.pyannote[1026].start |
7192.86471875 |
transcript.pyannote[1026].end |
7194.92346875 |
transcript.pyannote[1027].speaker |
SPEAKER_26 |
transcript.pyannote[1027].start |
7200.91409375 |
transcript.pyannote[1027].end |
7202.33159375 |
transcript.pyannote[1028].speaker |
SPEAKER_07 |
transcript.pyannote[1028].start |
7202.17971875 |
transcript.pyannote[1028].end |
7206.41534375 |
transcript.pyannote[1029].speaker |
SPEAKER_26 |
transcript.pyannote[1029].start |
7202.77034375 |
transcript.pyannote[1029].end |
7205.62221875 |
transcript.pyannote[1030].speaker |
SPEAKER_26 |
transcript.pyannote[1030].start |
7206.09471875 |
transcript.pyannote[1030].end |
7220.03346875 |
transcript.pyannote[1031].speaker |
SPEAKER_07 |
transcript.pyannote[1031].start |
7208.42346875 |
transcript.pyannote[1031].end |
7208.87909375 |
transcript.pyannote[1032].speaker |
SPEAKER_07 |
transcript.pyannote[1032].start |
7220.03346875 |
transcript.pyannote[1032].end |
7233.36471875 |
transcript.pyannote[1033].speaker |
SPEAKER_26 |
transcript.pyannote[1033].start |
7226.81721875 |
transcript.pyannote[1033].end |
7227.57659375 |
transcript.pyannote[1034].speaker |
SPEAKER_26 |
transcript.pyannote[1034].start |
7232.36909375 |
transcript.pyannote[1034].end |
7233.19596875 |
transcript.pyannote[1035].speaker |
SPEAKER_26 |
transcript.pyannote[1035].start |
7233.51659375 |
transcript.pyannote[1035].end |
7263.45284375 |
transcript.pyannote[1036].speaker |
SPEAKER_07 |
transcript.pyannote[1036].start |
7263.30096875 |
transcript.pyannote[1036].end |
7263.75659375 |
transcript.pyannote[1037].speaker |
SPEAKER_26 |
transcript.pyannote[1037].start |
7263.53721875 |
transcript.pyannote[1037].end |
7265.68034375 |
transcript.pyannote[1038].speaker |
SPEAKER_22 |
transcript.pyannote[1038].start |
7265.51159375 |
transcript.pyannote[1038].end |
7265.52846875 |
transcript.pyannote[1039].speaker |
SPEAKER_07 |
transcript.pyannote[1039].start |
7265.52846875 |
transcript.pyannote[1039].end |
7265.96721875 |
transcript.pyannote[1040].speaker |
SPEAKER_22 |
transcript.pyannote[1040].start |
7265.68034375 |
transcript.pyannote[1040].end |
7265.74784375 |
transcript.pyannote[1041].speaker |
SPEAKER_26 |
transcript.pyannote[1041].start |
7265.74784375 |
transcript.pyannote[1041].end |
7268.85284375 |
transcript.pyannote[1042].speaker |
SPEAKER_22 |
transcript.pyannote[1042].start |
7265.96721875 |
transcript.pyannote[1042].end |
7268.76846875 |
transcript.pyannote[1043].speaker |
SPEAKER_26 |
transcript.pyannote[1043].start |
7269.19034375 |
transcript.pyannote[1043].end |
7273.47659375 |
transcript.pyannote[1044].speaker |
SPEAKER_22 |
transcript.pyannote[1044].start |
7273.39221875 |
transcript.pyannote[1044].end |
7274.11784375 |
transcript.pyannote[1045].speaker |
SPEAKER_26 |
transcript.pyannote[1045].start |
7273.57784375 |
transcript.pyannote[1045].end |
7275.60284375 |
transcript.pyannote[1046].speaker |
SPEAKER_22 |
transcript.pyannote[1046].start |
7274.87721875 |
transcript.pyannote[1046].end |
7275.16409375 |
transcript.pyannote[1047].speaker |
SPEAKER_26 |
transcript.pyannote[1047].start |
7276.21034375 |
transcript.pyannote[1047].end |
7296.54471875 |
transcript.pyannote[1048].speaker |
SPEAKER_07 |
transcript.pyannote[1048].start |
7296.57846875 |
transcript.pyannote[1048].end |
7297.42221875 |
transcript.pyannote[1049].speaker |
SPEAKER_26 |
transcript.pyannote[1049].start |
7297.94534375 |
transcript.pyannote[1049].end |
7300.61159375 |
transcript.pyannote[1050].speaker |
SPEAKER_07 |
transcript.pyannote[1050].start |
7301.21909375 |
transcript.pyannote[1050].end |
7302.63659375 |
transcript.pyannote[1051].speaker |
SPEAKER_07 |
transcript.pyannote[1051].start |
7304.30721875 |
transcript.pyannote[1051].end |
7306.04534375 |
transcript.pyannote[1052].speaker |
SPEAKER_26 |
transcript.pyannote[1052].start |
7305.43784375 |
transcript.pyannote[1052].end |
7308.96471875 |
transcript.pyannote[1053].speaker |
SPEAKER_07 |
transcript.pyannote[1053].start |
7306.61909375 |
transcript.pyannote[1053].end |
7307.02409375 |
transcript.pyannote[1054].speaker |
SPEAKER_05 |
transcript.pyannote[1054].start |
7307.02409375 |
transcript.pyannote[1054].end |
7307.04096875 |
transcript.pyannote[1055].speaker |
SPEAKER_07 |
transcript.pyannote[1055].start |
7307.04096875 |
transcript.pyannote[1055].end |
7307.09159375 |
transcript.pyannote[1056].speaker |
SPEAKER_05 |
transcript.pyannote[1056].start |
7307.09159375 |
transcript.pyannote[1056].end |
7307.15909375 |
transcript.pyannote[1057].speaker |
SPEAKER_07 |
transcript.pyannote[1057].start |
7307.15909375 |
transcript.pyannote[1057].end |
7307.19284375 |
transcript.pyannote[1058].speaker |
SPEAKER_05 |
transcript.pyannote[1058].start |
7307.19284375 |
transcript.pyannote[1058].end |
7307.22659375 |
transcript.pyannote[1059].speaker |
SPEAKER_07 |
transcript.pyannote[1059].start |
7307.22659375 |
transcript.pyannote[1059].end |
7307.74971875 |
transcript.pyannote[1060].speaker |
SPEAKER_05 |
transcript.pyannote[1060].start |
7307.74971875 |
transcript.pyannote[1060].end |
7307.78346875 |
transcript.pyannote[1061].speaker |
SPEAKER_07 |
transcript.pyannote[1061].start |
7307.78346875 |
transcript.pyannote[1061].end |
7307.80034375 |
transcript.pyannote[1062].speaker |
SPEAKER_05 |
transcript.pyannote[1062].start |
7307.80034375 |
transcript.pyannote[1062].end |
7309.04909375 |
transcript.pyannote[1063].speaker |
SPEAKER_07 |
transcript.pyannote[1063].start |
7309.04909375 |
transcript.pyannote[1063].end |
7309.60596875 |
transcript.pyannote[1064].speaker |
SPEAKER_05 |
transcript.pyannote[1064].start |
7309.60596875 |
transcript.pyannote[1064].end |
7310.33159375 |
transcript.pyannote[1065].speaker |
SPEAKER_05 |
transcript.pyannote[1065].start |
7310.34846875 |
transcript.pyannote[1065].end |
7319.61284375 |
transcript.pyannote[1066].speaker |
SPEAKER_05 |
transcript.pyannote[1066].start |
7319.62971875 |
transcript.pyannote[1066].end |
7327.47659375 |
transcript.pyannote[1067].speaker |
SPEAKER_06 |
transcript.pyannote[1067].start |
7335.34034375 |
transcript.pyannote[1067].end |
7337.28096875 |
transcript.pyannote[1068].speaker |
SPEAKER_06 |
transcript.pyannote[1068].start |
7339.15409375 |
transcript.pyannote[1068].end |
7339.37346875 |
transcript.pyannote[1069].speaker |
SPEAKER_05 |
transcript.pyannote[1069].start |
7339.37346875 |
transcript.pyannote[1069].end |
7339.50846875 |
transcript.pyannote[1070].speaker |
SPEAKER_06 |
transcript.pyannote[1070].start |
7339.50846875 |
transcript.pyannote[1070].end |
7339.55909375 |
transcript.pyannote[1071].speaker |
SPEAKER_06 |
transcript.pyannote[1071].start |
7346.35971875 |
transcript.pyannote[1071].end |
7366.03596875 |
transcript.pyannote[1072].speaker |
SPEAKER_22 |
transcript.pyannote[1072].start |
7352.26596875 |
transcript.pyannote[1072].end |
7352.40096875 |
transcript.pyannote[1073].speaker |
SPEAKER_07 |
transcript.pyannote[1073].start |
7366.03596875 |
transcript.pyannote[1073].end |
7391.02784375 |
transcript.pyannote[1074].speaker |
SPEAKER_00 |
transcript.pyannote[1074].start |
7380.58221875 |
transcript.pyannote[1074].end |
7380.68346875 |
transcript.pyannote[1075].speaker |
SPEAKER_06 |
transcript.pyannote[1075].start |
7391.02784375 |
transcript.pyannote[1075].end |
7403.39721875 |
transcript.pyannote[1076].speaker |
SPEAKER_22 |
transcript.pyannote[1076].start |
7403.39721875 |
transcript.pyannote[1076].end |
7403.66721875 |
transcript.pyannote[1077].speaker |
SPEAKER_06 |
transcript.pyannote[1077].start |
7403.66721875 |
transcript.pyannote[1077].end |
7418.02784375 |
transcript.pyannote[1078].speaker |
SPEAKER_07 |
transcript.pyannote[1078].start |
7418.02784375 |
transcript.pyannote[1078].end |
7457.04284375 |
transcript.pyannote[1079].speaker |
SPEAKER_06 |
transcript.pyannote[1079].start |
7457.04284375 |
transcript.pyannote[1079].end |
7461.95346875 |
transcript.pyannote[1080].speaker |
SPEAKER_07 |
transcript.pyannote[1080].start |
7460.85659375 |
transcript.pyannote[1080].end |
7462.13909375 |
transcript.pyannote[1081].speaker |
SPEAKER_06 |
transcript.pyannote[1081].start |
7462.07159375 |
transcript.pyannote[1081].end |
7467.77534375 |
transcript.pyannote[1082].speaker |
SPEAKER_07 |
transcript.pyannote[1082].start |
7467.77534375 |
transcript.pyannote[1082].end |
7467.84284375 |
transcript.pyannote[1083].speaker |
SPEAKER_06 |
transcript.pyannote[1083].start |
7467.84284375 |
transcript.pyannote[1083].end |
7467.94409375 |
transcript.pyannote[1084].speaker |
SPEAKER_07 |
transcript.pyannote[1084].start |
7467.94409375 |
transcript.pyannote[1084].end |
7476.80346875 |
transcript.pyannote[1085].speaker |
SPEAKER_07 |
transcript.pyannote[1085].start |
7476.85409375 |
transcript.pyannote[1085].end |
7476.87096875 |
transcript.pyannote[1086].speaker |
SPEAKER_06 |
transcript.pyannote[1086].start |
7476.87096875 |
transcript.pyannote[1086].end |
7482.42284375 |
transcript.pyannote[1087].speaker |
SPEAKER_05 |
transcript.pyannote[1087].start |
7489.78034375 |
transcript.pyannote[1087].end |
7491.55221875 |
transcript.pyannote[1088].speaker |
SPEAKER_06 |
transcript.pyannote[1088].start |
7491.55221875 |
transcript.pyannote[1088].end |
7491.63659375 |
transcript.pyannote[1089].speaker |
SPEAKER_05 |
transcript.pyannote[1089].start |
7491.82221875 |
transcript.pyannote[1089].end |
7493.77971875 |
transcript.pyannote[1090].speaker |
SPEAKER_06 |
transcript.pyannote[1090].start |
7493.77971875 |
transcript.pyannote[1090].end |
7524.91409375 |
transcript.pyannote[1091].speaker |
SPEAKER_06 |
transcript.pyannote[1091].start |
7525.30221875 |
transcript.pyannote[1091].end |
7533.30096875 |
transcript.pyannote[1092].speaker |
SPEAKER_16 |
transcript.pyannote[1092].start |
7532.91284375 |
transcript.pyannote[1092].end |
7534.60034375 |
transcript.pyannote[1093].speaker |
SPEAKER_16 |
transcript.pyannote[1093].start |
7534.87034375 |
transcript.pyannote[1093].end |
7547.40846875 |
transcript.pyannote[1094].speaker |
SPEAKER_06 |
transcript.pyannote[1094].start |
7546.81784375 |
transcript.pyannote[1094].end |
7548.30284375 |
transcript.pyannote[1095].speaker |
SPEAKER_06 |
transcript.pyannote[1095].start |
7548.67409375 |
transcript.pyannote[1095].end |
7550.22659375 |
transcript.pyannote[1096].speaker |
SPEAKER_16 |
transcript.pyannote[1096].start |
7549.16346875 |
transcript.pyannote[1096].end |
7549.99034375 |
transcript.pyannote[1097].speaker |
SPEAKER_11 |
transcript.pyannote[1097].start |
7549.99034375 |
transcript.pyannote[1097].end |
7550.02409375 |
transcript.pyannote[1098].speaker |
SPEAKER_06 |
transcript.pyannote[1098].start |
7550.81721875 |
transcript.pyannote[1098].end |
7550.83409375 |
transcript.pyannote[1099].speaker |
SPEAKER_16 |
transcript.pyannote[1099].start |
7550.83409375 |
transcript.pyannote[1099].end |
7550.85096875 |
transcript.pyannote[1100].speaker |
SPEAKER_06 |
transcript.pyannote[1100].start |
7550.85096875 |
transcript.pyannote[1100].end |
7555.64346875 |
transcript.pyannote[1101].speaker |
SPEAKER_11 |
transcript.pyannote[1101].start |
7555.87971875 |
transcript.pyannote[1101].end |
7562.35971875 |
transcript.pyannote[1102].speaker |
SPEAKER_06 |
transcript.pyannote[1102].start |
7562.89971875 |
transcript.pyannote[1102].end |
7565.54909375 |
transcript.pyannote[1103].speaker |
SPEAKER_11 |
transcript.pyannote[1103].start |
7564.18221875 |
transcript.pyannote[1103].end |
7565.26221875 |
transcript.pyannote[1104].speaker |
SPEAKER_06 |
transcript.pyannote[1104].start |
7565.88659375 |
transcript.pyannote[1104].end |
7573.59846875 |
transcript.pyannote[1105].speaker |
SPEAKER_07 |
transcript.pyannote[1105].start |
7573.59846875 |
transcript.pyannote[1105].end |
7600.96971875 |
transcript.pyannote[1106].speaker |
SPEAKER_06 |
transcript.pyannote[1106].start |
7580.50034375 |
transcript.pyannote[1106].end |
7580.97284375 |
transcript.pyannote[1107].speaker |
SPEAKER_00 |
transcript.pyannote[1107].start |
7580.97284375 |
transcript.pyannote[1107].end |
7581.05721875 |
transcript.pyannote[1108].speaker |
SPEAKER_06 |
transcript.pyannote[1108].start |
7600.96971875 |
transcript.pyannote[1108].end |
7600.98659375 |
transcript.pyannote[1109].speaker |
SPEAKER_07 |
transcript.pyannote[1109].start |
7600.98659375 |
transcript.pyannote[1109].end |
7601.03721875 |
transcript.pyannote[1110].speaker |
SPEAKER_06 |
transcript.pyannote[1110].start |
7601.03721875 |
transcript.pyannote[1110].end |
7605.47534375 |
transcript.pyannote[1111].speaker |
SPEAKER_07 |
transcript.pyannote[1111].start |
7605.07034375 |
transcript.pyannote[1111].end |
7605.15471875 |
transcript.pyannote[1112].speaker |
SPEAKER_22 |
transcript.pyannote[1112].start |
7605.15471875 |
transcript.pyannote[1112].end |
7605.35721875 |
transcript.pyannote[1113].speaker |
SPEAKER_07 |
transcript.pyannote[1113].start |
7605.35721875 |
transcript.pyannote[1113].end |
7605.40784375 |
transcript.pyannote[1114].speaker |
SPEAKER_22 |
transcript.pyannote[1114].start |
7605.40784375 |
transcript.pyannote[1114].end |
7605.44159375 |
transcript.pyannote[1115].speaker |
SPEAKER_07 |
transcript.pyannote[1115].start |
7605.47534375 |
transcript.pyannote[1115].end |
7605.59346875 |
transcript.pyannote[1116].speaker |
SPEAKER_06 |
transcript.pyannote[1116].start |
7605.59346875 |
transcript.pyannote[1116].end |
7605.61034375 |
transcript.pyannote[1117].speaker |
SPEAKER_07 |
transcript.pyannote[1117].start |
7605.61034375 |
transcript.pyannote[1117].end |
7605.62721875 |
transcript.pyannote[1118].speaker |
SPEAKER_06 |
transcript.pyannote[1118].start |
7605.62721875 |
transcript.pyannote[1118].end |
7611.04409375 |
transcript.pyannote[1119].speaker |
SPEAKER_22 |
transcript.pyannote[1119].start |
7605.69471875 |
transcript.pyannote[1119].end |
7605.71159375 |
transcript.pyannote[1120].speaker |
SPEAKER_22 |
transcript.pyannote[1120].start |
7610.82471875 |
transcript.pyannote[1120].end |
7611.61784375 |
transcript.pyannote[1121].speaker |
SPEAKER_06 |
transcript.pyannote[1121].start |
7611.21284375 |
transcript.pyannote[1121].end |
7618.80659375 |
transcript.pyannote[1122].speaker |
SPEAKER_07 |
transcript.pyannote[1122].start |
7615.90409375 |
transcript.pyannote[1122].end |
7615.92096875 |
transcript.pyannote[1123].speaker |
SPEAKER_22 |
transcript.pyannote[1123].start |
7615.92096875 |
transcript.pyannote[1123].end |
7615.95471875 |
transcript.pyannote[1124].speaker |
SPEAKER_07 |
transcript.pyannote[1124].start |
7615.95471875 |
transcript.pyannote[1124].end |
7616.20784375 |
transcript.pyannote[1125].speaker |
SPEAKER_07 |
transcript.pyannote[1125].start |
7616.30909375 |
transcript.pyannote[1125].end |
7619.22846875 |
transcript.pyannote[1126].speaker |
SPEAKER_06 |
transcript.pyannote[1126].start |
7619.48159375 |
transcript.pyannote[1126].end |
7628.84721875 |
transcript.pyannote[1127].speaker |
SPEAKER_06 |
transcript.pyannote[1127].start |
7629.11721875 |
transcript.pyannote[1127].end |
7630.75409375 |
transcript.pyannote[1128].speaker |
SPEAKER_06 |
transcript.pyannote[1128].start |
7631.29409375 |
transcript.pyannote[1128].end |
7634.75346875 |
transcript.pyannote[1129].speaker |
SPEAKER_06 |
transcript.pyannote[1129].start |
7635.05721875 |
transcript.pyannote[1129].end |
7636.47471875 |
transcript.pyannote[1130].speaker |
SPEAKER_06 |
transcript.pyannote[1130].start |
7636.59284375 |
transcript.pyannote[1130].end |
7640.05221875 |
transcript.pyannote[1131].speaker |
SPEAKER_22 |
transcript.pyannote[1131].start |
7640.22096875 |
transcript.pyannote[1131].end |
7640.38971875 |
transcript.pyannote[1132].speaker |
SPEAKER_06 |
transcript.pyannote[1132].start |
7640.45721875 |
transcript.pyannote[1132].end |
7642.07721875 |
transcript.pyannote[1133].speaker |
SPEAKER_06 |
transcript.pyannote[1133].start |
7642.41471875 |
transcript.pyannote[1133].end |
7644.60846875 |
transcript.pyannote[1134].speaker |
SPEAKER_06 |
transcript.pyannote[1134].start |
7644.89534375 |
transcript.pyannote[1134].end |
7646.66721875 |
transcript.pyannote[1135].speaker |
SPEAKER_11 |
transcript.pyannote[1135].start |
7646.86971875 |
transcript.pyannote[1135].end |
7657.31534375 |
transcript.pyannote[1136].speaker |
SPEAKER_11 |
transcript.pyannote[1136].start |
7657.58534375 |
transcript.pyannote[1136].end |
7666.63034375 |
transcript.pyannote[1137].speaker |
SPEAKER_22 |
transcript.pyannote[1137].start |
7661.44971875 |
transcript.pyannote[1137].end |
7661.68596875 |
transcript.pyannote[1138].speaker |
SPEAKER_11 |
transcript.pyannote[1138].start |
7666.79909375 |
transcript.pyannote[1138].end |
7700.54909375 |
transcript.pyannote[1139].speaker |
SPEAKER_11 |
transcript.pyannote[1139].start |
7700.90346875 |
transcript.pyannote[1139].end |
7703.09721875 |
transcript.pyannote[1140].speaker |
SPEAKER_11 |
transcript.pyannote[1140].start |
7703.24909375 |
transcript.pyannote[1140].end |
7711.55159375 |
transcript.pyannote[1141].speaker |
SPEAKER_06 |
transcript.pyannote[1141].start |
7712.05784375 |
transcript.pyannote[1141].end |
7714.55534375 |
transcript.pyannote[1142].speaker |
SPEAKER_06 |
transcript.pyannote[1142].start |
7714.97721875 |
transcript.pyannote[1142].end |
7721.47409375 |
transcript.pyannote[1143].speaker |
SPEAKER_07 |
transcript.pyannote[1143].start |
7721.05221875 |
transcript.pyannote[1143].end |
7721.72721875 |
transcript.pyannote[1144].speaker |
SPEAKER_06 |
transcript.pyannote[1144].start |
7721.50784375 |
transcript.pyannote[1144].end |
7723.68471875 |
transcript.pyannote[1145].speaker |
SPEAKER_07 |
transcript.pyannote[1145].start |
7723.66784375 |
transcript.pyannote[1145].end |
7724.22471875 |
transcript.pyannote[1146].speaker |
SPEAKER_06 |
transcript.pyannote[1146].start |
7723.95471875 |
transcript.pyannote[1146].end |
7737.80909375 |
transcript.pyannote[1147].speaker |
SPEAKER_11 |
transcript.pyannote[1147].start |
7738.09596875 |
transcript.pyannote[1147].end |
7749.90846875 |
transcript.pyannote[1148].speaker |
SPEAKER_11 |
transcript.pyannote[1148].start |
7750.24596875 |
transcript.pyannote[1148].end |
7762.85159375 |
transcript.pyannote[1149].speaker |
SPEAKER_06 |
transcript.pyannote[1149].start |
7762.95284375 |
transcript.pyannote[1149].end |
7780.77284375 |
transcript.pyannote[1150].speaker |
SPEAKER_11 |
transcript.pyannote[1150].start |
7779.30471875 |
transcript.pyannote[1150].end |
7795.38659375 |
transcript.pyannote[1151].speaker |
SPEAKER_06 |
transcript.pyannote[1151].start |
7794.59346875 |
transcript.pyannote[1151].end |
7798.28909375 |
transcript.pyannote[1152].speaker |
SPEAKER_11 |
transcript.pyannote[1152].start |
7797.41159375 |
transcript.pyannote[1152].end |
7800.36471875 |
transcript.pyannote[1153].speaker |
SPEAKER_06 |
transcript.pyannote[1153].start |
7799.60534375 |
transcript.pyannote[1153].end |
7800.63471875 |
transcript.pyannote[1154].speaker |
SPEAKER_07 |
transcript.pyannote[1154].start |
7800.36471875 |
transcript.pyannote[1154].end |
7800.53346875 |
transcript.pyannote[1155].speaker |
SPEAKER_07 |
transcript.pyannote[1155].start |
7800.63471875 |
transcript.pyannote[1155].end |
7812.05909375 |
transcript.pyannote[1156].speaker |
SPEAKER_06 |
transcript.pyannote[1156].start |
7804.54971875 |
transcript.pyannote[1156].end |
7805.84909375 |
transcript.pyannote[1157].speaker |
SPEAKER_06 |
transcript.pyannote[1157].start |
7810.99596875 |
transcript.pyannote[1157].end |
7818.38721875 |
transcript.pyannote[1158].speaker |
SPEAKER_07 |
transcript.pyannote[1158].start |
7817.89784375 |
transcript.pyannote[1158].end |
7818.65721875 |
transcript.pyannote[1159].speaker |
SPEAKER_06 |
transcript.pyannote[1159].start |
7818.65721875 |
transcript.pyannote[1159].end |
7821.52596875 |
transcript.pyannote[1160].speaker |
SPEAKER_06 |
transcript.pyannote[1160].start |
7821.91409375 |
transcript.pyannote[1160].end |
7825.22159375 |
transcript.pyannote[1161].speaker |
SPEAKER_06 |
transcript.pyannote[1161].start |
7826.11596875 |
transcript.pyannote[1161].end |
7843.66596875 |
transcript.pyannote[1162].speaker |
SPEAKER_06 |
transcript.pyannote[1162].start |
7844.40846875 |
transcript.pyannote[1162].end |
7848.18846875 |
transcript.pyannote[1163].speaker |
SPEAKER_06 |
transcript.pyannote[1163].start |
7848.76221875 |
transcript.pyannote[1163].end |
7849.18409375 |
transcript.pyannote[1164].speaker |
SPEAKER_16 |
transcript.pyannote[1164].start |
7851.19221875 |
transcript.pyannote[1164].end |
7865.04659375 |
transcript.pyannote[1165].speaker |
SPEAKER_06 |
transcript.pyannote[1165].start |
7864.59096875 |
transcript.pyannote[1165].end |
7866.21096875 |
transcript.pyannote[1166].speaker |
SPEAKER_16 |
transcript.pyannote[1166].start |
7866.43034375 |
transcript.pyannote[1166].end |
7879.79534375 |
transcript.pyannote[1167].speaker |
SPEAKER_06 |
transcript.pyannote[1167].start |
7880.38596875 |
transcript.pyannote[1167].end |
7890.89909375 |
transcript.pyannote[1168].speaker |
SPEAKER_16 |
transcript.pyannote[1168].start |
7891.16909375 |
transcript.pyannote[1168].end |
7891.21971875 |
transcript.pyannote[1169].speaker |
SPEAKER_06 |
transcript.pyannote[1169].start |
7891.21971875 |
transcript.pyannote[1169].end |
7894.37534375 |
transcript.pyannote[1170].speaker |
SPEAKER_16 |
transcript.pyannote[1170].start |
7894.79721875 |
transcript.pyannote[1170].end |
7904.29784375 |
transcript.pyannote[1171].speaker |
SPEAKER_16 |
transcript.pyannote[1171].start |
7904.38221875 |
transcript.pyannote[1171].end |
7915.78971875 |
transcript.pyannote[1172].speaker |
SPEAKER_06 |
transcript.pyannote[1172].start |
7915.92471875 |
transcript.pyannote[1172].end |
7921.88159375 |
transcript.pyannote[1173].speaker |
SPEAKER_22 |
transcript.pyannote[1173].start |
7921.88159375 |
transcript.pyannote[1173].end |
7922.32034375 |
transcript.pyannote[1174].speaker |
SPEAKER_06 |
transcript.pyannote[1174].start |
7922.77596875 |
transcript.pyannote[1174].end |
7926.30284375 |
transcript.pyannote[1175].speaker |
SPEAKER_06 |
transcript.pyannote[1175].start |
7927.04534375 |
transcript.pyannote[1175].end |
7930.06596875 |
transcript.pyannote[1176].speaker |
SPEAKER_16 |
transcript.pyannote[1176].start |
7930.69034375 |
transcript.pyannote[1176].end |
7934.45346875 |
transcript.pyannote[1177].speaker |
SPEAKER_16 |
transcript.pyannote[1177].start |
7934.62221875 |
transcript.pyannote[1177].end |
7936.34346875 |
transcript.pyannote[1178].speaker |
SPEAKER_16 |
transcript.pyannote[1178].start |
7936.37721875 |
transcript.pyannote[1178].end |
7950.18096875 |
transcript.pyannote[1179].speaker |
SPEAKER_00 |
transcript.pyannote[1179].start |
7942.21596875 |
transcript.pyannote[1179].end |
7942.23284375 |
transcript.pyannote[1180].speaker |
SPEAKER_06 |
transcript.pyannote[1180].start |
7942.23284375 |
transcript.pyannote[1180].end |
7942.60409375 |
transcript.pyannote[1181].speaker |
SPEAKER_06 |
transcript.pyannote[1181].start |
7950.63659375 |
transcript.pyannote[1181].end |
7971.64596875 |
transcript.pyannote[1182].speaker |
SPEAKER_06 |
transcript.pyannote[1182].start |
7971.94971875 |
transcript.pyannote[1182].end |
7976.21909375 |
transcript.pyannote[1183].speaker |
SPEAKER_06 |
transcript.pyannote[1183].start |
7976.72534375 |
transcript.pyannote[1183].end |
7985.98971875 |
transcript.pyannote[1184].speaker |
SPEAKER_16 |
transcript.pyannote[1184].start |
7986.25971875 |
transcript.pyannote[1184].end |
7989.44909375 |
transcript.pyannote[1185].speaker |
SPEAKER_16 |
transcript.pyannote[1185].start |
7989.66846875 |
transcript.pyannote[1185].end |
7991.84534375 |
transcript.pyannote[1186].speaker |
SPEAKER_16 |
transcript.pyannote[1186].start |
7991.96346875 |
transcript.pyannote[1186].end |
7999.70909375 |
transcript.pyannote[1187].speaker |
SPEAKER_06 |
transcript.pyannote[1187].start |
8000.01284375 |
transcript.pyannote[1187].end |
8006.88096875 |
transcript.pyannote[1188].speaker |
SPEAKER_22 |
transcript.pyannote[1188].start |
8006.88096875 |
transcript.pyannote[1188].end |
8006.91471875 |
transcript.pyannote[1189].speaker |
SPEAKER_06 |
transcript.pyannote[1189].start |
8006.91471875 |
transcript.pyannote[1189].end |
8020.39784375 |
transcript.pyannote[1190].speaker |
SPEAKER_16 |
transcript.pyannote[1190].start |
8018.20409375 |
transcript.pyannote[1190].end |
8020.53284375 |
transcript.pyannote[1191].speaker |
SPEAKER_16 |
transcript.pyannote[1191].start |
8020.56659375 |
transcript.pyannote[1191].end |
8025.51096875 |
transcript.pyannote[1192].speaker |
SPEAKER_06 |
transcript.pyannote[1192].start |
8026.06784375 |
transcript.pyannote[1192].end |
8032.96971875 |
transcript.pyannote[1193].speaker |
SPEAKER_06 |
transcript.pyannote[1193].start |
8033.05409375 |
transcript.pyannote[1193].end |
8033.07096875 |
transcript.pyannote[1194].speaker |
SPEAKER_16 |
transcript.pyannote[1194].start |
8033.07096875 |
transcript.pyannote[1194].end |
8033.10471875 |
transcript.pyannote[1195].speaker |
SPEAKER_22 |
transcript.pyannote[1195].start |
8033.10471875 |
transcript.pyannote[1195].end |
8033.44221875 |
transcript.pyannote[1196].speaker |
SPEAKER_06 |
transcript.pyannote[1196].start |
8033.44221875 |
transcript.pyannote[1196].end |
8037.61034375 |
transcript.pyannote[1197].speaker |
SPEAKER_22 |
transcript.pyannote[1197].start |
8033.47596875 |
transcript.pyannote[1197].end |
8033.49284375 |
transcript.pyannote[1198].speaker |
SPEAKER_06 |
transcript.pyannote[1198].start |
8038.21784375 |
transcript.pyannote[1198].end |
8038.23471875 |
transcript.pyannote[1199].speaker |
SPEAKER_05 |
transcript.pyannote[1199].start |
8038.23471875 |
transcript.pyannote[1199].end |
8057.70846875 |
transcript.pyannote[1200].speaker |
SPEAKER_02 |
transcript.pyannote[1200].start |
8063.78346875 |
transcript.pyannote[1200].end |
8068.86284375 |
transcript.pyannote[1201].speaker |
SPEAKER_05 |
transcript.pyannote[1201].start |
8067.49596875 |
transcript.pyannote[1201].end |
8068.81221875 |
transcript.pyannote[1202].speaker |
SPEAKER_05 |
transcript.pyannote[1202].start |
8068.86284375 |
transcript.pyannote[1202].end |
8068.89659375 |
transcript.pyannote[1203].speaker |
SPEAKER_02 |
transcript.pyannote[1203].start |
8068.89659375 |
transcript.pyannote[1203].end |
8068.99784375 |
transcript.pyannote[1204].speaker |
SPEAKER_05 |
transcript.pyannote[1204].start |
8068.99784375 |
transcript.pyannote[1204].end |
8071.25909375 |
transcript.pyannote[1205].speaker |
SPEAKER_02 |
transcript.pyannote[1205].start |
8069.16659375 |
transcript.pyannote[1205].end |
8070.24659375 |
transcript.pyannote[1206].speaker |
SPEAKER_05 |
transcript.pyannote[1206].start |
8072.17034375 |
transcript.pyannote[1206].end |
8075.07284375 |
transcript.pyannote[1207].speaker |
SPEAKER_05 |
transcript.pyannote[1207].start |
8077.28346875 |
transcript.pyannote[1207].end |
8077.30034375 |
transcript.pyannote[1208].speaker |
SPEAKER_02 |
transcript.pyannote[1208].start |
8077.30034375 |
transcript.pyannote[1208].end |
8077.65471875 |
transcript.pyannote[1209].speaker |
SPEAKER_05 |
transcript.pyannote[1209].start |
8077.65471875 |
transcript.pyannote[1209].end |
8077.97534375 |
transcript.pyannote[1210].speaker |
SPEAKER_02 |
transcript.pyannote[1210].start |
8077.97534375 |
transcript.pyannote[1210].end |
8078.39721875 |
transcript.pyannote[1211].speaker |
SPEAKER_05 |
transcript.pyannote[1211].start |
8079.52784375 |
transcript.pyannote[1211].end |
8079.54471875 |
transcript.pyannote[1212].speaker |
SPEAKER_02 |
transcript.pyannote[1212].start |
8079.54471875 |
transcript.pyannote[1212].end |
8081.72159375 |
transcript.pyannote[1213].speaker |
SPEAKER_02 |
transcript.pyannote[1213].start |
8082.00846875 |
transcript.pyannote[1213].end |
8084.52284375 |
transcript.pyannote[1214].speaker |
SPEAKER_02 |
transcript.pyannote[1214].start |
8085.09659375 |
transcript.pyannote[1214].end |
8098.59659375 |
transcript.pyannote[1215].speaker |
SPEAKER_02 |
transcript.pyannote[1215].start |
8099.05221875 |
transcript.pyannote[1215].end |
8100.43596875 |
transcript.pyannote[1216].speaker |
SPEAKER_02 |
transcript.pyannote[1216].start |
8100.80721875 |
transcript.pyannote[1216].end |
8101.49909375 |
transcript.pyannote[1217].speaker |
SPEAKER_02 |
transcript.pyannote[1217].start |
8102.10659375 |
transcript.pyannote[1217].end |
8106.61221875 |
transcript.pyannote[1218].speaker |
SPEAKER_02 |
transcript.pyannote[1218].start |
8107.10159375 |
transcript.pyannote[1218].end |
8109.54846875 |
transcript.pyannote[1219].speaker |
SPEAKER_02 |
transcript.pyannote[1219].start |
8109.81846875 |
transcript.pyannote[1219].end |
8113.15971875 |
transcript.pyannote[1220].speaker |
SPEAKER_02 |
transcript.pyannote[1220].start |
8113.31159375 |
transcript.pyannote[1220].end |
8114.17221875 |
transcript.pyannote[1221].speaker |
SPEAKER_02 |
transcript.pyannote[1221].start |
8114.71221875 |
transcript.pyannote[1221].end |
8120.39909375 |
transcript.pyannote[1222].speaker |
SPEAKER_02 |
transcript.pyannote[1222].start |
8120.92221875 |
transcript.pyannote[1222].end |
8122.47471875 |
transcript.pyannote[1223].speaker |
SPEAKER_02 |
transcript.pyannote[1223].start |
8122.79534375 |
transcript.pyannote[1223].end |
8126.99721875 |
transcript.pyannote[1224].speaker |
SPEAKER_02 |
transcript.pyannote[1224].start |
8127.62159375 |
transcript.pyannote[1224].end |
8129.08971875 |
transcript.pyannote[1225].speaker |
SPEAKER_02 |
transcript.pyannote[1225].start |
8129.56221875 |
transcript.pyannote[1225].end |
8131.35096875 |
transcript.pyannote[1226].speaker |
SPEAKER_02 |
transcript.pyannote[1226].start |
8131.82346875 |
transcript.pyannote[1226].end |
8133.61221875 |
transcript.pyannote[1227].speaker |
SPEAKER_02 |
transcript.pyannote[1227].start |
8134.08471875 |
transcript.pyannote[1227].end |
8134.77659375 |
transcript.pyannote[1228].speaker |
SPEAKER_02 |
transcript.pyannote[1228].start |
8135.31659375 |
transcript.pyannote[1228].end |
8137.45971875 |
transcript.pyannote[1229].speaker |
SPEAKER_02 |
transcript.pyannote[1229].start |
8137.78034375 |
transcript.pyannote[1229].end |
8138.53971875 |
transcript.pyannote[1230].speaker |
SPEAKER_02 |
transcript.pyannote[1230].start |
8139.38346875 |
transcript.pyannote[1230].end |
8141.88096875 |
transcript.pyannote[1231].speaker |
SPEAKER_02 |
transcript.pyannote[1231].start |
8142.20159375 |
transcript.pyannote[1231].end |
8142.45471875 |
transcript.pyannote[1232].speaker |
SPEAKER_02 |
transcript.pyannote[1232].start |
8143.36596875 |
transcript.pyannote[1232].end |
8144.54721875 |
transcript.pyannote[1233].speaker |
SPEAKER_02 |
transcript.pyannote[1233].start |
8145.64409375 |
transcript.pyannote[1233].end |
8146.75784375 |
transcript.pyannote[1234].speaker |
SPEAKER_02 |
transcript.pyannote[1234].start |
8147.33159375 |
transcript.pyannote[1234].end |
8148.83346875 |
transcript.pyannote[1235].speaker |
SPEAKER_02 |
transcript.pyannote[1235].start |
8149.10346875 |
transcript.pyannote[1235].end |
8150.23409375 |
transcript.pyannote[1236].speaker |
SPEAKER_02 |
transcript.pyannote[1236].start |
8150.52096875 |
transcript.pyannote[1236].end |
8159.81909375 |
transcript.pyannote[1237].speaker |
SPEAKER_02 |
transcript.pyannote[1237].start |
8160.39284375 |
transcript.pyannote[1237].end |
8161.57409375 |
transcript.pyannote[1238].speaker |
SPEAKER_02 |
transcript.pyannote[1238].start |
8161.91159375 |
transcript.pyannote[1238].end |
8162.38409375 |
transcript.pyannote[1239].speaker |
SPEAKER_02 |
transcript.pyannote[1239].start |
8163.19409375 |
transcript.pyannote[1239].end |
8166.63659375 |
transcript.pyannote[1240].speaker |
SPEAKER_22 |
transcript.pyannote[1240].start |
8166.97409375 |
transcript.pyannote[1240].end |
8167.14284375 |
transcript.pyannote[1241].speaker |
SPEAKER_02 |
transcript.pyannote[1241].start |
8167.14284375 |
transcript.pyannote[1241].end |
8177.77409375 |
transcript.pyannote[1242].speaker |
SPEAKER_02 |
transcript.pyannote[1242].start |
8178.51659375 |
transcript.pyannote[1242].end |
8179.15784375 |
transcript.pyannote[1243].speaker |
SPEAKER_07 |
transcript.pyannote[1243].start |
8179.37721875 |
transcript.pyannote[1243].end |
8239.78971875 |
transcript.pyannote[1244].speaker |
SPEAKER_02 |
transcript.pyannote[1244].start |
8239.90784375 |
transcript.pyannote[1244].end |
8244.78471875 |
transcript.pyannote[1245].speaker |
SPEAKER_07 |
transcript.pyannote[1245].start |
8244.95346875 |
transcript.pyannote[1245].end |
8245.56096875 |
transcript.pyannote[1246].speaker |
SPEAKER_02 |
transcript.pyannote[1246].start |
8245.32471875 |
transcript.pyannote[1246].end |
8248.81784375 |
transcript.pyannote[1247].speaker |
SPEAKER_07 |
transcript.pyannote[1247].start |
8248.19346875 |
transcript.pyannote[1247].end |
8251.23096875 |
transcript.pyannote[1248].speaker |
SPEAKER_02 |
transcript.pyannote[1248].start |
8249.61096875 |
transcript.pyannote[1248].end |
8253.01971875 |
transcript.pyannote[1249].speaker |
SPEAKER_07 |
transcript.pyannote[1249].start |
8252.09159375 |
transcript.pyannote[1249].end |
8264.59596875 |
transcript.pyannote[1250].speaker |
SPEAKER_02 |
transcript.pyannote[1250].start |
8264.59596875 |
transcript.pyannote[1250].end |
8266.06409375 |
transcript.pyannote[1251].speaker |
SPEAKER_02 |
transcript.pyannote[1251].start |
8266.63784375 |
transcript.pyannote[1251].end |
8271.41346875 |
transcript.pyannote[1252].speaker |
SPEAKER_02 |
transcript.pyannote[1252].start |
8272.05471875 |
transcript.pyannote[1252].end |
8279.22659375 |
transcript.pyannote[1253].speaker |
SPEAKER_02 |
transcript.pyannote[1253].start |
8279.64846875 |
transcript.pyannote[1253].end |
8281.82534375 |
transcript.pyannote[1254].speaker |
SPEAKER_02 |
transcript.pyannote[1254].start |
8282.28096875 |
transcript.pyannote[1254].end |
8283.54659375 |
transcript.pyannote[1255].speaker |
SPEAKER_02 |
transcript.pyannote[1255].start |
8283.86721875 |
transcript.pyannote[1255].end |
8286.56721875 |
transcript.pyannote[1256].speaker |
SPEAKER_02 |
transcript.pyannote[1256].start |
8286.90471875 |
transcript.pyannote[1256].end |
8290.98846875 |
transcript.pyannote[1257].speaker |
SPEAKER_02 |
transcript.pyannote[1257].start |
8291.24159375 |
transcript.pyannote[1257].end |
8296.30409375 |
transcript.pyannote[1258].speaker |
SPEAKER_02 |
transcript.pyannote[1258].start |
8296.82721875 |
transcript.pyannote[1258].end |
8298.37971875 |
transcript.pyannote[1259].speaker |
SPEAKER_02 |
transcript.pyannote[1259].start |
8298.64971875 |
transcript.pyannote[1259].end |
8301.68721875 |
transcript.pyannote[1260].speaker |
SPEAKER_02 |
transcript.pyannote[1260].start |
8302.19346875 |
transcript.pyannote[1260].end |
8312.95971875 |
transcript.pyannote[1261].speaker |
SPEAKER_02 |
transcript.pyannote[1261].start |
8313.26346875 |
transcript.pyannote[1261].end |
8314.12409375 |
transcript.pyannote[1262].speaker |
SPEAKER_02 |
transcript.pyannote[1262].start |
8315.10284375 |
transcript.pyannote[1262].end |
8315.77784375 |
transcript.pyannote[1263].speaker |
SPEAKER_02 |
transcript.pyannote[1263].start |
8316.28409375 |
transcript.pyannote[1263].end |
8318.57909375 |
transcript.pyannote[1264].speaker |
SPEAKER_02 |
transcript.pyannote[1264].start |
8318.71409375 |
transcript.pyannote[1264].end |
8320.87409375 |
transcript.pyannote[1265].speaker |
SPEAKER_02 |
transcript.pyannote[1265].start |
8321.11034375 |
transcript.pyannote[1265].end |
8322.13971875 |
transcript.pyannote[1266].speaker |
SPEAKER_02 |
transcript.pyannote[1266].start |
8322.54471875 |
transcript.pyannote[1266].end |
8323.35471875 |
transcript.pyannote[1267].speaker |
SPEAKER_02 |
transcript.pyannote[1267].start |
8324.01284375 |
transcript.pyannote[1267].end |
8324.28284375 |
transcript.pyannote[1268].speaker |
SPEAKER_02 |
transcript.pyannote[1268].start |
8324.58659375 |
transcript.pyannote[1268].end |
8325.91971875 |
transcript.pyannote[1269].speaker |
SPEAKER_02 |
transcript.pyannote[1269].start |
8326.45971875 |
transcript.pyannote[1269].end |
8333.80034375 |
transcript.pyannote[1270].speaker |
SPEAKER_02 |
transcript.pyannote[1270].start |
8334.28971875 |
transcript.pyannote[1270].end |
8336.34846875 |
transcript.pyannote[1271].speaker |
SPEAKER_02 |
transcript.pyannote[1271].start |
8336.63534375 |
transcript.pyannote[1271].end |
8341.44471875 |
transcript.pyannote[1272].speaker |
SPEAKER_02 |
transcript.pyannote[1272].start |
8341.84971875 |
transcript.pyannote[1272].end |
8344.02659375 |
transcript.pyannote[1273].speaker |
SPEAKER_02 |
transcript.pyannote[1273].start |
8344.24596875 |
transcript.pyannote[1273].end |
8348.09346875 |
transcript.pyannote[1274].speaker |
SPEAKER_02 |
transcript.pyannote[1274].start |
8348.59971875 |
transcript.pyannote[1274].end |
8354.25284375 |
transcript.pyannote[1275].speaker |
SPEAKER_02 |
transcript.pyannote[1275].start |
8354.65784375 |
transcript.pyannote[1275].end |
8359.88909375 |
transcript.pyannote[1276].speaker |
SPEAKER_02 |
transcript.pyannote[1276].start |
8360.19284375 |
transcript.pyannote[1276].end |
8361.72846875 |
transcript.pyannote[1277].speaker |
SPEAKER_16 |
transcript.pyannote[1277].start |
8361.72846875 |
transcript.pyannote[1277].end |
8362.11659375 |
transcript.pyannote[1278].speaker |
SPEAKER_02 |
transcript.pyannote[1278].start |
8362.11659375 |
transcript.pyannote[1278].end |
8363.14596875 |
transcript.pyannote[1279].speaker |
SPEAKER_02 |
transcript.pyannote[1279].start |
8363.63534375 |
transcript.pyannote[1279].end |
8365.67721875 |
transcript.pyannote[1280].speaker |
SPEAKER_02 |
transcript.pyannote[1280].start |
8365.84596875 |
transcript.pyannote[1280].end |
8372.73096875 |
transcript.pyannote[1281].speaker |
SPEAKER_02 |
transcript.pyannote[1281].start |
8373.01784375 |
transcript.pyannote[1281].end |
8379.36284375 |
transcript.pyannote[1282].speaker |
SPEAKER_02 |
transcript.pyannote[1282].start |
8379.49784375 |
transcript.pyannote[1282].end |
8380.49346875 |
transcript.pyannote[1283].speaker |
SPEAKER_02 |
transcript.pyannote[1283].start |
8380.89846875 |
transcript.pyannote[1283].end |
8381.67471875 |
transcript.pyannote[1284].speaker |
SPEAKER_02 |
transcript.pyannote[1284].start |
8382.43409375 |
transcript.pyannote[1284].end |
8383.32846875 |
transcript.pyannote[1285].speaker |
SPEAKER_02 |
transcript.pyannote[1285].start |
8384.30721875 |
transcript.pyannote[1285].end |
8385.79221875 |
transcript.pyannote[1286].speaker |
SPEAKER_02 |
transcript.pyannote[1286].start |
8386.29846875 |
transcript.pyannote[1286].end |
8386.99034375 |
transcript.pyannote[1287].speaker |
SPEAKER_02 |
transcript.pyannote[1287].start |
8387.49659375 |
transcript.pyannote[1287].end |
8388.84659375 |
transcript.pyannote[1288].speaker |
SPEAKER_02 |
transcript.pyannote[1288].start |
8389.33596875 |
transcript.pyannote[1288].end |
8390.01096875 |
transcript.pyannote[1289].speaker |
SPEAKER_02 |
transcript.pyannote[1289].start |
8391.22596875 |
transcript.pyannote[1289].end |
8407.81409375 |
transcript.pyannote[1290].speaker |
SPEAKER_02 |
transcript.pyannote[1290].start |
8408.26971875 |
transcript.pyannote[1290].end |
8408.74221875 |
transcript.pyannote[1291].speaker |
SPEAKER_02 |
transcript.pyannote[1291].start |
8408.75909375 |
transcript.pyannote[1291].end |
8411.27346875 |
transcript.pyannote[1292].speaker |
SPEAKER_02 |
transcript.pyannote[1292].start |
8411.50971875 |
transcript.pyannote[1292].end |
8411.88096875 |
transcript.pyannote[1293].speaker |
SPEAKER_02 |
transcript.pyannote[1293].start |
8412.11721875 |
transcript.pyannote[1293].end |
8413.85534375 |
transcript.pyannote[1294].speaker |
SPEAKER_02 |
transcript.pyannote[1294].start |
8414.17596875 |
transcript.pyannote[1294].end |
8414.90159375 |
transcript.pyannote[1295].speaker |
SPEAKER_02 |
transcript.pyannote[1295].start |
8415.35721875 |
transcript.pyannote[1295].end |
8417.02784375 |
transcript.pyannote[1296].speaker |
SPEAKER_02 |
transcript.pyannote[1296].start |
8417.44971875 |
transcript.pyannote[1296].end |
8430.89909375 |
transcript.pyannote[1297].speaker |
SPEAKER_02 |
transcript.pyannote[1297].start |
8431.11846875 |
transcript.pyannote[1297].end |
8435.82659375 |
transcript.pyannote[1298].speaker |
SPEAKER_02 |
transcript.pyannote[1298].start |
8436.24846875 |
transcript.pyannote[1298].end |
8437.39596875 |
transcript.pyannote[1299].speaker |
SPEAKER_02 |
transcript.pyannote[1299].start |
8437.66596875 |
transcript.pyannote[1299].end |
8439.18471875 |
transcript.pyannote[1300].speaker |
SPEAKER_02 |
transcript.pyannote[1300].start |
8439.33659375 |
transcript.pyannote[1300].end |
8441.15909375 |
transcript.pyannote[1301].speaker |
SPEAKER_02 |
transcript.pyannote[1301].start |
8441.29409375 |
transcript.pyannote[1301].end |
8443.90971875 |
transcript.pyannote[1302].speaker |
SPEAKER_02 |
transcript.pyannote[1302].start |
8445.07409375 |
transcript.pyannote[1302].end |
8446.08659375 |
transcript.pyannote[1303].speaker |
SPEAKER_02 |
transcript.pyannote[1303].start |
8446.42409375 |
transcript.pyannote[1303].end |
8452.73534375 |
transcript.pyannote[1304].speaker |
SPEAKER_16 |
transcript.pyannote[1304].start |
8454.67596875 |
transcript.pyannote[1304].end |
8457.20721875 |
transcript.pyannote[1305].speaker |
SPEAKER_16 |
transcript.pyannote[1305].start |
8457.37596875 |
transcript.pyannote[1305].end |
8468.56409375 |
transcript.pyannote[1306].speaker |
SPEAKER_16 |
transcript.pyannote[1306].start |
8468.59784375 |
transcript.pyannote[1306].end |
8483.68409375 |
transcript.pyannote[1307].speaker |
SPEAKER_16 |
transcript.pyannote[1307].start |
8483.80221875 |
transcript.pyannote[1307].end |
8486.18159375 |
transcript.pyannote[1308].speaker |
SPEAKER_16 |
transcript.pyannote[1308].start |
8486.97471875 |
transcript.pyannote[1308].end |
8487.76784375 |
transcript.pyannote[1309].speaker |
SPEAKER_16 |
transcript.pyannote[1309].start |
8488.12221875 |
transcript.pyannote[1309].end |
8489.77596875 |
transcript.pyannote[1310].speaker |
SPEAKER_16 |
transcript.pyannote[1310].start |
8489.94471875 |
transcript.pyannote[1310].end |
8535.11909375 |
transcript.pyannote[1311].speaker |
SPEAKER_02 |
transcript.pyannote[1311].start |
8534.15721875 |
transcript.pyannote[1311].end |
8534.79846875 |
transcript.pyannote[1312].speaker |
SPEAKER_02 |
transcript.pyannote[1312].start |
8535.11909375 |
transcript.pyannote[1312].end |
8535.18659375 |
transcript.pyannote[1313].speaker |
SPEAKER_16 |
transcript.pyannote[1313].start |
8535.18659375 |
transcript.pyannote[1313].end |
8535.38909375 |
transcript.pyannote[1314].speaker |
SPEAKER_02 |
transcript.pyannote[1314].start |
8535.22034375 |
transcript.pyannote[1314].end |
8542.45971875 |
transcript.pyannote[1315].speaker |
SPEAKER_02 |
transcript.pyannote[1315].start |
8542.74659375 |
transcript.pyannote[1315].end |
8554.76159375 |
transcript.pyannote[1316].speaker |
SPEAKER_02 |
transcript.pyannote[1316].start |
8554.93034375 |
transcript.pyannote[1316].end |
8559.30096875 |
transcript.pyannote[1317].speaker |
SPEAKER_02 |
transcript.pyannote[1317].start |
8559.95909375 |
transcript.pyannote[1317].end |
8573.15534375 |
transcript.pyannote[1318].speaker |
SPEAKER_02 |
transcript.pyannote[1318].start |
8573.71221875 |
transcript.pyannote[1318].end |
8574.75846875 |
transcript.pyannote[1319].speaker |
SPEAKER_02 |
transcript.pyannote[1319].start |
8575.01159375 |
transcript.pyannote[1319].end |
8577.05346875 |
transcript.pyannote[1320].speaker |
SPEAKER_02 |
transcript.pyannote[1320].start |
8577.45846875 |
transcript.pyannote[1320].end |
8577.79596875 |
transcript.pyannote[1321].speaker |
SPEAKER_02 |
transcript.pyannote[1321].start |
8578.26846875 |
transcript.pyannote[1321].end |
8580.34409375 |
transcript.pyannote[1322].speaker |
SPEAKER_02 |
transcript.pyannote[1322].start |
8580.93471875 |
transcript.pyannote[1322].end |
8581.79534375 |
transcript.pyannote[1323].speaker |
SPEAKER_02 |
transcript.pyannote[1323].start |
8582.77409375 |
transcript.pyannote[1323].end |
8583.88784375 |
transcript.pyannote[1324].speaker |
SPEAKER_02 |
transcript.pyannote[1324].start |
8586.67221875 |
transcript.pyannote[1324].end |
8587.02659375 |
transcript.pyannote[1325].speaker |
SPEAKER_02 |
transcript.pyannote[1325].start |
8587.63409375 |
transcript.pyannote[1325].end |
8589.11909375 |
transcript.pyannote[1326].speaker |
SPEAKER_02 |
transcript.pyannote[1326].start |
8589.38909375 |
transcript.pyannote[1326].end |
8590.46909375 |
transcript.pyannote[1327].speaker |
SPEAKER_02 |
transcript.pyannote[1327].start |
8591.41409375 |
transcript.pyannote[1327].end |
8593.52346875 |
transcript.pyannote[1328].speaker |
SPEAKER_02 |
transcript.pyannote[1328].start |
8594.02971875 |
transcript.pyannote[1328].end |
8595.49784375 |
transcript.pyannote[1329].speaker |
SPEAKER_02 |
transcript.pyannote[1329].start |
8595.86909375 |
transcript.pyannote[1329].end |
8596.17284375 |
transcript.pyannote[1330].speaker |
SPEAKER_02 |
transcript.pyannote[1330].start |
8596.61159375 |
transcript.pyannote[1330].end |
8597.50596875 |
transcript.pyannote[1331].speaker |
SPEAKER_02 |
transcript.pyannote[1331].start |
8597.70846875 |
transcript.pyannote[1331].end |
8599.22721875 |
transcript.pyannote[1332].speaker |
SPEAKER_02 |
transcript.pyannote[1332].start |
8599.51409375 |
transcript.pyannote[1332].end |
8600.88096875 |
transcript.pyannote[1333].speaker |
SPEAKER_02 |
transcript.pyannote[1333].start |
8601.84284375 |
transcript.pyannote[1333].end |
8602.85534375 |
transcript.pyannote[1334].speaker |
SPEAKER_02 |
transcript.pyannote[1334].start |
8603.32784375 |
transcript.pyannote[1334].end |
8629.97346875 |
transcript.pyannote[1335].speaker |
SPEAKER_02 |
transcript.pyannote[1335].start |
8630.76659375 |
transcript.pyannote[1335].end |
8633.48346875 |
transcript.pyannote[1336].speaker |
SPEAKER_02 |
transcript.pyannote[1336].start |
8634.14159375 |
transcript.pyannote[1336].end |
8635.91346875 |
transcript.pyannote[1337].speaker |
SPEAKER_02 |
transcript.pyannote[1337].start |
8636.26784375 |
transcript.pyannote[1337].end |
8639.25471875 |
transcript.pyannote[1338].speaker |
SPEAKER_02 |
transcript.pyannote[1338].start |
8640.14909375 |
transcript.pyannote[1338].end |
8642.62971875 |
transcript.pyannote[1339].speaker |
SPEAKER_02 |
transcript.pyannote[1339].start |
8643.32159375 |
transcript.pyannote[1339].end |
8644.14846875 |
transcript.pyannote[1340].speaker |
SPEAKER_02 |
transcript.pyannote[1340].start |
8644.63784375 |
transcript.pyannote[1340].end |
8646.35909375 |
transcript.pyannote[1341].speaker |
SPEAKER_02 |
transcript.pyannote[1341].start |
8646.67971875 |
transcript.pyannote[1341].end |
8650.54409375 |
transcript.pyannote[1342].speaker |
SPEAKER_02 |
transcript.pyannote[1342].start |
8650.69596875 |
transcript.pyannote[1342].end |
8659.45409375 |
transcript.pyannote[1343].speaker |
SPEAKER_02 |
transcript.pyannote[1343].start |
8659.63971875 |
transcript.pyannote[1343].end |
8660.04471875 |
transcript.pyannote[1344].speaker |
SPEAKER_02 |
transcript.pyannote[1344].start |
8660.26409375 |
transcript.pyannote[1344].end |
8661.37784375 |
transcript.pyannote[1345].speaker |
SPEAKER_02 |
transcript.pyannote[1345].start |
8661.59721875 |
transcript.pyannote[1345].end |
8663.67284375 |
transcript.pyannote[1346].speaker |
SPEAKER_02 |
transcript.pyannote[1346].start |
8664.34784375 |
transcript.pyannote[1346].end |
8667.46971875 |
transcript.pyannote[1347].speaker |
SPEAKER_02 |
transcript.pyannote[1347].start |
8668.26284375 |
transcript.pyannote[1347].end |
8668.83659375 |
transcript.pyannote[1348].speaker |
SPEAKER_02 |
transcript.pyannote[1348].start |
8669.61284375 |
transcript.pyannote[1348].end |
8670.62534375 |
transcript.pyannote[1349].speaker |
SPEAKER_02 |
transcript.pyannote[1349].start |
8670.86159375 |
transcript.pyannote[1349].end |
8677.64534375 |
transcript.pyannote[1350].speaker |
SPEAKER_02 |
transcript.pyannote[1350].start |
8677.71284375 |
transcript.pyannote[1350].end |
8681.52659375 |
transcript.pyannote[1351].speaker |
SPEAKER_02 |
transcript.pyannote[1351].start |
8681.77971875 |
transcript.pyannote[1351].end |
8684.64846875 |
transcript.pyannote[1352].speaker |
SPEAKER_02 |
transcript.pyannote[1352].start |
8684.95221875 |
transcript.pyannote[1352].end |
8688.47909375 |
transcript.pyannote[1353].speaker |
SPEAKER_02 |
transcript.pyannote[1353].start |
8688.86721875 |
transcript.pyannote[1353].end |
8689.18784375 |
transcript.pyannote[1354].speaker |
SPEAKER_02 |
transcript.pyannote[1354].start |
8689.87971875 |
transcript.pyannote[1354].end |
8692.17471875 |
transcript.pyannote[1355].speaker |
SPEAKER_02 |
transcript.pyannote[1355].start |
8693.32221875 |
transcript.pyannote[1355].end |
8694.45284375 |
transcript.pyannote[1356].speaker |
SPEAKER_02 |
transcript.pyannote[1356].start |
8694.73971875 |
transcript.pyannote[1356].end |
8696.47784375 |
transcript.pyannote[1357].speaker |
SPEAKER_02 |
transcript.pyannote[1357].start |
8697.10221875 |
transcript.pyannote[1357].end |
8697.38909375 |
transcript.pyannote[1358].speaker |
SPEAKER_02 |
transcript.pyannote[1358].start |
8697.55784375 |
transcript.pyannote[1358].end |
8698.89096875 |
transcript.pyannote[1359].speaker |
SPEAKER_02 |
transcript.pyannote[1359].start |
8699.61659375 |
transcript.pyannote[1359].end |
8700.59534375 |
transcript.pyannote[1360].speaker |
SPEAKER_02 |
transcript.pyannote[1360].start |
8701.25346875 |
transcript.pyannote[1360].end |
8702.16471875 |
transcript.pyannote[1361].speaker |
SPEAKER_02 |
transcript.pyannote[1361].start |
8702.43471875 |
transcript.pyannote[1361].end |
8704.34159375 |
transcript.pyannote[1362].speaker |
SPEAKER_11 |
transcript.pyannote[1362].start |
8705.35409375 |
transcript.pyannote[1362].end |
8707.32846875 |
transcript.pyannote[1363].speaker |
SPEAKER_11 |
transcript.pyannote[1363].start |
8707.71659375 |
transcript.pyannote[1363].end |
8728.99596875 |
transcript.pyannote[1364].speaker |
SPEAKER_11 |
transcript.pyannote[1364].start |
8730.10971875 |
transcript.pyannote[1364].end |
8732.67471875 |
transcript.pyannote[1365].speaker |
SPEAKER_11 |
transcript.pyannote[1365].start |
8733.48471875 |
transcript.pyannote[1365].end |
8733.70409375 |
transcript.pyannote[1366].speaker |
SPEAKER_11 |
transcript.pyannote[1366].start |
8734.00784375 |
transcript.pyannote[1366].end |
8745.68534375 |
transcript.pyannote[1367].speaker |
SPEAKER_11 |
transcript.pyannote[1367].start |
8746.05659375 |
transcript.pyannote[1367].end |
8747.79471875 |
transcript.pyannote[1368].speaker |
SPEAKER_11 |
transcript.pyannote[1368].start |
8748.35159375 |
transcript.pyannote[1368].end |
8759.05034375 |
transcript.pyannote[1369].speaker |
SPEAKER_02 |
transcript.pyannote[1369].start |
8759.05034375 |
transcript.pyannote[1369].end |
8759.06721875 |
transcript.pyannote[1370].speaker |
SPEAKER_02 |
transcript.pyannote[1370].start |
8760.14721875 |
transcript.pyannote[1370].end |
8764.70346875 |
transcript.pyannote[1371].speaker |
SPEAKER_02 |
transcript.pyannote[1371].start |
8764.92284375 |
transcript.pyannote[1371].end |
8782.37159375 |
transcript.pyannote[1372].speaker |
SPEAKER_02 |
transcript.pyannote[1372].start |
8782.84409375 |
transcript.pyannote[1372].end |
8784.68346875 |
transcript.pyannote[1373].speaker |
SPEAKER_02 |
transcript.pyannote[1373].start |
8785.13909375 |
transcript.pyannote[1373].end |
8786.08409375 |
transcript.pyannote[1374].speaker |
SPEAKER_02 |
transcript.pyannote[1374].start |
8786.50596875 |
transcript.pyannote[1374].end |
8787.63659375 |
transcript.pyannote[1375].speaker |
SPEAKER_02 |
transcript.pyannote[1375].start |
8788.07534375 |
transcript.pyannote[1375].end |
8793.03659375 |
transcript.pyannote[1376].speaker |
SPEAKER_02 |
transcript.pyannote[1376].start |
8793.40784375 |
transcript.pyannote[1376].end |
8818.70346875 |
transcript.pyannote[1377].speaker |
SPEAKER_02 |
transcript.pyannote[1377].start |
8819.15909375 |
transcript.pyannote[1377].end |
8820.28971875 |
transcript.pyannote[1378].speaker |
SPEAKER_02 |
transcript.pyannote[1378].start |
8820.64409375 |
transcript.pyannote[1378].end |
8822.26409375 |
transcript.pyannote[1379].speaker |
SPEAKER_02 |
transcript.pyannote[1379].start |
8822.63534375 |
transcript.pyannote[1379].end |
8825.04846875 |
transcript.pyannote[1380].speaker |
SPEAKER_02 |
transcript.pyannote[1380].start |
8825.72346875 |
transcript.pyannote[1380].end |
8827.41096875 |
transcript.pyannote[1381].speaker |
SPEAKER_02 |
transcript.pyannote[1381].start |
8828.10284375 |
transcript.pyannote[1381].end |
8829.84096875 |
transcript.pyannote[1382].speaker |
SPEAKER_02 |
transcript.pyannote[1382].start |
8830.34721875 |
transcript.pyannote[1382].end |
8832.27096875 |
transcript.pyannote[1383].speaker |
SPEAKER_02 |
transcript.pyannote[1383].start |
8832.76034375 |
transcript.pyannote[1383].end |
8834.49846875 |
transcript.pyannote[1384].speaker |
SPEAKER_02 |
transcript.pyannote[1384].start |
8835.24096875 |
transcript.pyannote[1384].end |
8835.67971875 |
transcript.pyannote[1385].speaker |
SPEAKER_02 |
transcript.pyannote[1385].start |
8836.52346875 |
transcript.pyannote[1385].end |
8838.27846875 |
transcript.pyannote[1386].speaker |
SPEAKER_02 |
transcript.pyannote[1386].start |
8839.39221875 |
transcript.pyannote[1386].end |
8840.20221875 |
transcript.pyannote[1387].speaker |
SPEAKER_02 |
transcript.pyannote[1387].start |
8840.37096875 |
transcript.pyannote[1387].end |
8842.42971875 |
transcript.pyannote[1388].speaker |
SPEAKER_02 |
transcript.pyannote[1388].start |
8842.64909375 |
transcript.pyannote[1388].end |
8844.35346875 |
transcript.pyannote[1389].speaker |
SPEAKER_02 |
transcript.pyannote[1389].start |
8844.67409375 |
transcript.pyannote[1389].end |
8847.00284375 |
transcript.pyannote[1390].speaker |
SPEAKER_02 |
transcript.pyannote[1390].start |
8847.69471875 |
transcript.pyannote[1390].end |
8848.47096875 |
transcript.pyannote[1391].speaker |
SPEAKER_02 |
transcript.pyannote[1391].start |
8849.83784375 |
transcript.pyannote[1391].end |
8851.27221875 |
transcript.pyannote[1392].speaker |
SPEAKER_02 |
transcript.pyannote[1392].start |
8851.71096875 |
transcript.pyannote[1392].end |
8852.20034375 |
transcript.pyannote[1393].speaker |
SPEAKER_02 |
transcript.pyannote[1393].start |
8852.70659375 |
transcript.pyannote[1393].end |
8852.77409375 |
transcript.pyannote[1394].speaker |
SPEAKER_02 |
transcript.pyannote[1394].start |
8853.24659375 |
transcript.pyannote[1394].end |
8855.33909375 |
transcript.pyannote[1395].speaker |
SPEAKER_02 |
transcript.pyannote[1395].start |
8855.67659375 |
transcript.pyannote[1395].end |
8856.94221875 |
transcript.pyannote[1396].speaker |
SPEAKER_02 |
transcript.pyannote[1396].start |
8857.54971875 |
transcript.pyannote[1396].end |
8863.50659375 |
transcript.pyannote[1397].speaker |
SPEAKER_02 |
transcript.pyannote[1397].start |
8864.24909375 |
transcript.pyannote[1397].end |
8867.65784375 |
transcript.pyannote[1398].speaker |
SPEAKER_02 |
transcript.pyannote[1398].start |
8868.04596875 |
transcript.pyannote[1398].end |
8870.37471875 |
transcript.pyannote[1399].speaker |
SPEAKER_02 |
transcript.pyannote[1399].start |
8870.67846875 |
transcript.pyannote[1399].end |
8872.12971875 |
transcript.pyannote[1400].speaker |
SPEAKER_02 |
transcript.pyannote[1400].start |
8872.80471875 |
transcript.pyannote[1400].end |
8873.32784375 |
transcript.pyannote[1401].speaker |
SPEAKER_02 |
transcript.pyannote[1401].start |
8873.51346875 |
transcript.pyannote[1401].end |
8884.41471875 |
transcript.pyannote[1402].speaker |
SPEAKER_02 |
transcript.pyannote[1402].start |
8884.97159375 |
transcript.pyannote[1402].end |
8890.48971875 |
transcript.pyannote[1403].speaker |
SPEAKER_02 |
transcript.pyannote[1403].start |
8890.77659375 |
transcript.pyannote[1403].end |
8892.04221875 |
transcript.pyannote[1404].speaker |
SPEAKER_02 |
transcript.pyannote[1404].start |
8893.91534375 |
transcript.pyannote[1404].end |
8894.18534375 |
transcript.pyannote[1405].speaker |
SPEAKER_02 |
transcript.pyannote[1405].start |
8894.64096875 |
transcript.pyannote[1405].end |
8896.56471875 |
transcript.pyannote[1406].speaker |
SPEAKER_02 |
transcript.pyannote[1406].start |
8897.05409375 |
transcript.pyannote[1406].end |
8899.50096875 |
transcript.pyannote[1407].speaker |
SPEAKER_02 |
transcript.pyannote[1407].start |
8899.78784375 |
transcript.pyannote[1407].end |
8900.69909375 |
transcript.pyannote[1408].speaker |
SPEAKER_02 |
transcript.pyannote[1408].start |
8901.72846875 |
transcript.pyannote[1408].end |
8904.19221875 |
transcript.pyannote[1409].speaker |
SPEAKER_02 |
transcript.pyannote[1409].start |
8904.39471875 |
transcript.pyannote[1409].end |
8910.14909375 |
transcript.pyannote[1410].speaker |
SPEAKER_02 |
transcript.pyannote[1410].start |
8910.26721875 |
transcript.pyannote[1410].end |
8911.22909375 |
transcript.pyannote[1411].speaker |
SPEAKER_02 |
transcript.pyannote[1411].start |
8912.00534375 |
transcript.pyannote[1411].end |
8913.47346875 |
transcript.pyannote[1412].speaker |
SPEAKER_02 |
transcript.pyannote[1412].start |
8914.18221875 |
transcript.pyannote[1412].end |
8918.04659375 |
transcript.pyannote[1413].speaker |
SPEAKER_02 |
transcript.pyannote[1413].start |
8918.23221875 |
transcript.pyannote[1413].end |
8920.51034375 |
transcript.pyannote[1414].speaker |
SPEAKER_02 |
transcript.pyannote[1414].start |
8921.10096875 |
transcript.pyannote[1414].end |
8929.79159375 |
transcript.pyannote[1415].speaker |
SPEAKER_02 |
transcript.pyannote[1415].start |
8930.60159375 |
transcript.pyannote[1415].end |
8933.67284375 |
transcript.pyannote[1416].speaker |
SPEAKER_02 |
transcript.pyannote[1416].start |
8934.07784375 |
transcript.pyannote[1416].end |
8945.92409375 |
transcript.pyannote[1417].speaker |
SPEAKER_02 |
transcript.pyannote[1417].start |
8946.54846875 |
transcript.pyannote[1417].end |
8947.45971875 |
transcript.pyannote[1418].speaker |
SPEAKER_02 |
transcript.pyannote[1418].start |
8947.52721875 |
transcript.pyannote[1418].end |
8949.16409375 |
transcript.pyannote[1419].speaker |
SPEAKER_02 |
transcript.pyannote[1419].start |
8949.38346875 |
transcript.pyannote[1419].end |
8950.56471875 |
transcript.pyannote[1420].speaker |
SPEAKER_02 |
transcript.pyannote[1420].start |
8950.66596875 |
transcript.pyannote[1420].end |
8951.47596875 |
transcript.pyannote[1421].speaker |
SPEAKER_02 |
transcript.pyannote[1421].start |
8952.03284375 |
transcript.pyannote[1421].end |
8952.55596875 |
transcript.pyannote[1422].speaker |
SPEAKER_02 |
transcript.pyannote[1422].start |
8953.77096875 |
transcript.pyannote[1422].end |
8954.71596875 |
transcript.pyannote[1423].speaker |
SPEAKER_02 |
transcript.pyannote[1423].start |
8955.05346875 |
transcript.pyannote[1423].end |
8955.79596875 |
transcript.pyannote[1424].speaker |
SPEAKER_02 |
transcript.pyannote[1424].start |
8956.52159375 |
transcript.pyannote[1424].end |
8957.88846875 |
transcript.pyannote[1425].speaker |
SPEAKER_02 |
transcript.pyannote[1425].start |
8958.64784375 |
transcript.pyannote[1425].end |
8963.23784375 |
transcript.pyannote[1426].speaker |
SPEAKER_02 |
transcript.pyannote[1426].start |
8963.64284375 |
transcript.pyannote[1426].end |
8965.48221875 |
transcript.pyannote[1427].speaker |
SPEAKER_02 |
transcript.pyannote[1427].start |
8965.71846875 |
transcript.pyannote[1427].end |
8978.86409375 |
transcript.pyannote[1428].speaker |
SPEAKER_02 |
transcript.pyannote[1428].start |
8979.23534375 |
transcript.pyannote[1428].end |
8982.50909375 |
transcript.pyannote[1429].speaker |
SPEAKER_02 |
transcript.pyannote[1429].start |
8982.62721875 |
transcript.pyannote[1429].end |
8983.89284375 |
transcript.pyannote[1430].speaker |
SPEAKER_02 |
transcript.pyannote[1430].start |
8984.17971875 |
transcript.pyannote[1430].end |
8985.58034375 |
transcript.pyannote[1431].speaker |
SPEAKER_02 |
transcript.pyannote[1431].start |
8985.76596875 |
transcript.pyannote[1431].end |
8989.93409375 |
transcript.pyannote[1432].speaker |
SPEAKER_02 |
transcript.pyannote[1432].start |
8990.77784375 |
transcript.pyannote[1432].end |
8991.73971875 |
transcript.pyannote[1433].speaker |
SPEAKER_07 |
transcript.pyannote[1433].start |
8990.77784375 |
transcript.pyannote[1433].end |
8992.31346875 |
transcript.pyannote[1434].speaker |
SPEAKER_02 |
transcript.pyannote[1434].start |
8992.00971875 |
transcript.pyannote[1434].end |
8995.09784375 |
transcript.pyannote[1435].speaker |
SPEAKER_07 |
transcript.pyannote[1435].start |
8994.47346875 |
transcript.pyannote[1435].end |
9004.05846875 |
transcript.pyannote[1436].speaker |
SPEAKER_02 |
transcript.pyannote[1436].start |
8995.68846875 |
transcript.pyannote[1436].end |
8996.56596875 |
transcript.pyannote[1437].speaker |
SPEAKER_02 |
transcript.pyannote[1437].start |
8996.97096875 |
transcript.pyannote[1437].end |
8998.69221875 |
transcript.pyannote[1438].speaker |
SPEAKER_02 |
transcript.pyannote[1438].start |
8999.24909375 |
transcript.pyannote[1438].end |
9001.27409375 |
transcript.pyannote[1439].speaker |
SPEAKER_11 |
transcript.pyannote[1439].start |
9007.18034375 |
transcript.pyannote[1439].end |
9012.02346875 |
transcript.pyannote[1440].speaker |
SPEAKER_11 |
transcript.pyannote[1440].start |
9012.51284375 |
transcript.pyannote[1440].end |
9022.03034375 |
transcript.pyannote[1441].speaker |
SPEAKER_11 |
transcript.pyannote[1441].start |
9022.28346875 |
transcript.pyannote[1441].end |
9027.73409375 |
transcript.pyannote[1442].speaker |
SPEAKER_02 |
transcript.pyannote[1442].start |
9025.62471875 |
transcript.pyannote[1442].end |
9026.08034375 |
transcript.pyannote[1443].speaker |
SPEAKER_11 |
transcript.pyannote[1443].start |
9028.07159375 |
transcript.pyannote[1443].end |
9032.79659375 |
transcript.pyannote[1444].speaker |
SPEAKER_07 |
transcript.pyannote[1444].start |
9029.84346875 |
transcript.pyannote[1444].end |
9029.86034375 |
transcript.pyannote[1445].speaker |
SPEAKER_02 |
transcript.pyannote[1445].start |
9029.86034375 |
transcript.pyannote[1445].end |
9030.40034375 |
transcript.pyannote[1446].speaker |
SPEAKER_07 |
transcript.pyannote[1446].start |
9030.40034375 |
transcript.pyannote[1446].end |
9030.43409375 |
transcript.pyannote[1447].speaker |
SPEAKER_02 |
transcript.pyannote[1447].start |
9031.05846875 |
transcript.pyannote[1447].end |
9031.42971875 |
transcript.pyannote[1448].speaker |
SPEAKER_02 |
transcript.pyannote[1448].start |
9031.61534375 |
transcript.pyannote[1448].end |
9033.35346875 |
transcript.pyannote[1449].speaker |
SPEAKER_11 |
transcript.pyannote[1449].start |
9034.50096875 |
transcript.pyannote[1449].end |
9034.51784375 |
transcript.pyannote[1450].speaker |
SPEAKER_02 |
transcript.pyannote[1450].start |
9034.51784375 |
transcript.pyannote[1450].end |
9043.27596875 |
transcript.pyannote[1451].speaker |
SPEAKER_11 |
transcript.pyannote[1451].start |
9035.86784375 |
transcript.pyannote[1451].end |
9035.98596875 |
transcript.pyannote[1452].speaker |
SPEAKER_02 |
transcript.pyannote[1452].start |
9043.47846875 |
transcript.pyannote[1452].end |
9053.48534375 |
transcript.pyannote[1453].speaker |
SPEAKER_02 |
transcript.pyannote[1453].start |
9054.16034375 |
transcript.pyannote[1453].end |
9058.21034375 |
transcript.pyannote[1454].speaker |
SPEAKER_02 |
transcript.pyannote[1454].start |
9058.63221875 |
transcript.pyannote[1454].end |
9062.04096875 |
transcript.pyannote[1455].speaker |
SPEAKER_07 |
transcript.pyannote[1455].start |
9059.59409375 |
transcript.pyannote[1455].end |
9065.46659375 |
transcript.pyannote[1456].speaker |
SPEAKER_02 |
transcript.pyannote[1456].start |
9065.46659375 |
transcript.pyannote[1456].end |
9066.47909375 |
transcript.pyannote[1457].speaker |
SPEAKER_07 |
transcript.pyannote[1457].start |
9065.73659375 |
transcript.pyannote[1457].end |
9068.62221875 |
transcript.pyannote[1458].speaker |
SPEAKER_02 |
transcript.pyannote[1458].start |
9066.63096875 |
transcript.pyannote[1458].end |
9067.79534375 |
transcript.pyannote[1459].speaker |
SPEAKER_02 |
transcript.pyannote[1459].start |
9068.23409375 |
transcript.pyannote[1459].end |
9075.55784375 |
transcript.pyannote[1460].speaker |
SPEAKER_02 |
transcript.pyannote[1460].start |
9075.69284375 |
transcript.pyannote[1460].end |
9075.74346875 |
transcript.pyannote[1461].speaker |
SPEAKER_02 |
transcript.pyannote[1461].start |
9075.79409375 |
transcript.pyannote[1461].end |
9077.31284375 |
transcript.pyannote[1462].speaker |
SPEAKER_05 |
transcript.pyannote[1462].start |
9078.52784375 |
transcript.pyannote[1462].end |
9089.00721875 |
transcript.pyannote[1463].speaker |
SPEAKER_09 |
transcript.pyannote[1463].start |
9095.30159375 |
transcript.pyannote[1463].end |
9099.92534375 |
transcript.pyannote[1464].speaker |
SPEAKER_11 |
transcript.pyannote[1464].start |
9097.73159375 |
transcript.pyannote[1464].end |
9097.74846875 |
transcript.pyannote[1465].speaker |
SPEAKER_05 |
transcript.pyannote[1465].start |
9097.74846875 |
transcript.pyannote[1465].end |
9098.38971875 |
transcript.pyannote[1466].speaker |
SPEAKER_09 |
transcript.pyannote[1466].start |
9100.60034375 |
transcript.pyannote[1466].end |
9101.81534375 |
transcript.pyannote[1467].speaker |
SPEAKER_05 |
transcript.pyannote[1467].start |
9101.81534375 |
transcript.pyannote[1467].end |
9103.03034375 |
transcript.pyannote[1468].speaker |
SPEAKER_09 |
transcript.pyannote[1468].start |
9103.03034375 |
transcript.pyannote[1468].end |
9103.13159375 |
transcript.pyannote[1469].speaker |
SPEAKER_05 |
transcript.pyannote[1469].start |
9103.13159375 |
transcript.pyannote[1469].end |
9103.14846875 |
transcript.pyannote[1470].speaker |
SPEAKER_09 |
transcript.pyannote[1470].start |
9103.14846875 |
transcript.pyannote[1470].end |
9103.16534375 |
transcript.pyannote[1471].speaker |
SPEAKER_05 |
transcript.pyannote[1471].start |
9103.94159375 |
transcript.pyannote[1471].end |
9104.58284375 |
transcript.pyannote[1472].speaker |
SPEAKER_05 |
transcript.pyannote[1472].start |
9104.59971875 |
transcript.pyannote[1472].end |
9105.57846875 |
transcript.pyannote[1473].speaker |
SPEAKER_09 |
transcript.pyannote[1473].start |
9105.51096875 |
transcript.pyannote[1473].end |
9106.27034375 |
transcript.pyannote[1474].speaker |
SPEAKER_09 |
transcript.pyannote[1474].start |
9106.47284375 |
transcript.pyannote[1474].end |
9107.35034375 |
transcript.pyannote[1475].speaker |
SPEAKER_09 |
transcript.pyannote[1475].start |
9110.06721875 |
transcript.pyannote[1475].end |
9114.42096875 |
transcript.pyannote[1476].speaker |
SPEAKER_09 |
transcript.pyannote[1476].start |
9114.91034375 |
transcript.pyannote[1476].end |
9116.83409375 |
transcript.pyannote[1477].speaker |
SPEAKER_09 |
transcript.pyannote[1477].start |
9117.37409375 |
transcript.pyannote[1477].end |
9124.54596875 |
transcript.pyannote[1478].speaker |
SPEAKER_09 |
transcript.pyannote[1478].start |
9125.00159375 |
transcript.pyannote[1478].end |
9138.02909375 |
transcript.pyannote[1479].speaker |
SPEAKER_09 |
transcript.pyannote[1479].start |
9138.13034375 |
transcript.pyannote[1479].end |
9139.37909375 |
transcript.pyannote[1480].speaker |
SPEAKER_09 |
transcript.pyannote[1480].start |
9140.30721875 |
transcript.pyannote[1480].end |
9143.86784375 |
transcript.pyannote[1481].speaker |
SPEAKER_16 |
transcript.pyannote[1481].start |
9145.43721875 |
transcript.pyannote[1481].end |
9152.37284375 |
transcript.pyannote[1482].speaker |
SPEAKER_09 |
transcript.pyannote[1482].start |
9148.12034375 |
transcript.pyannote[1482].end |
9148.77846875 |
transcript.pyannote[1483].speaker |
SPEAKER_09 |
transcript.pyannote[1483].start |
9151.32659375 |
transcript.pyannote[1483].end |
9155.66346875 |
transcript.pyannote[1484].speaker |
SPEAKER_09 |
transcript.pyannote[1484].start |
9156.06846875 |
transcript.pyannote[1484].end |
9159.37596875 |
transcript.pyannote[1485].speaker |
SPEAKER_16 |
transcript.pyannote[1485].start |
9160.48971875 |
transcript.pyannote[1485].end |
9162.58221875 |
transcript.pyannote[1486].speaker |
SPEAKER_09 |
transcript.pyannote[1486].start |
9161.92409375 |
transcript.pyannote[1486].end |
9162.76784375 |
transcript.pyannote[1487].speaker |
SPEAKER_16 |
transcript.pyannote[1487].start |
9162.76784375 |
transcript.pyannote[1487].end |
9162.86909375 |
transcript.pyannote[1488].speaker |
SPEAKER_09 |
transcript.pyannote[1488].start |
9162.86909375 |
transcript.pyannote[1488].end |
9167.02034375 |
transcript.pyannote[1489].speaker |
SPEAKER_16 |
transcript.pyannote[1489].start |
9167.71221875 |
transcript.pyannote[1489].end |
9168.26909375 |
transcript.pyannote[1490].speaker |
SPEAKER_09 |
transcript.pyannote[1490].start |
9168.26909375 |
transcript.pyannote[1490].end |
9176.11596875 |
transcript.pyannote[1491].speaker |
SPEAKER_09 |
transcript.pyannote[1491].start |
9176.75721875 |
transcript.pyannote[1491].end |
9177.51659375 |
transcript.pyannote[1492].speaker |
SPEAKER_16 |
transcript.pyannote[1492].start |
9181.00971875 |
transcript.pyannote[1492].end |
9183.91221875 |
transcript.pyannote[1493].speaker |
SPEAKER_09 |
transcript.pyannote[1493].start |
9183.45659375 |
transcript.pyannote[1493].end |
9188.08034375 |
transcript.pyannote[1494].speaker |
SPEAKER_16 |
transcript.pyannote[1494].start |
9186.62909375 |
transcript.pyannote[1494].end |
9186.84846875 |
transcript.pyannote[1495].speaker |
SPEAKER_09 |
transcript.pyannote[1495].start |
9188.41784375 |
transcript.pyannote[1495].end |
9192.34971875 |
transcript.pyannote[1496].speaker |
SPEAKER_16 |
transcript.pyannote[1496].start |
9192.80534375 |
transcript.pyannote[1496].end |
9194.23971875 |
transcript.pyannote[1497].speaker |
SPEAKER_09 |
transcript.pyannote[1497].start |
9193.44659375 |
transcript.pyannote[1497].end |
9195.25221875 |
transcript.pyannote[1498].speaker |
SPEAKER_16 |
transcript.pyannote[1498].start |
9194.83034375 |
transcript.pyannote[1498].end |
9196.45034375 |
transcript.pyannote[1499].speaker |
SPEAKER_16 |
transcript.pyannote[1499].start |
9196.70346875 |
transcript.pyannote[1499].end |
9201.09096875 |
transcript.pyannote[1500].speaker |
SPEAKER_09 |
transcript.pyannote[1500].start |
9201.02346875 |
transcript.pyannote[1500].end |
9201.58034375 |
transcript.pyannote[1501].speaker |
SPEAKER_09 |
transcript.pyannote[1501].start |
9202.18784375 |
transcript.pyannote[1501].end |
9214.13534375 |
transcript.pyannote[1502].speaker |
SPEAKER_09 |
transcript.pyannote[1502].start |
9214.35471875 |
transcript.pyannote[1502].end |
9220.80096875 |
transcript.pyannote[1503].speaker |
SPEAKER_09 |
transcript.pyannote[1503].start |
9221.29034375 |
transcript.pyannote[1503].end |
9237.76034375 |
transcript.pyannote[1504].speaker |
SPEAKER_22 |
transcript.pyannote[1504].start |
9237.76034375 |
transcript.pyannote[1504].end |
9238.09784375 |
transcript.pyannote[1505].speaker |
SPEAKER_09 |
transcript.pyannote[1505].start |
9238.09784375 |
transcript.pyannote[1505].end |
9240.29159375 |
transcript.pyannote[1506].speaker |
SPEAKER_09 |
transcript.pyannote[1506].start |
9241.18596875 |
transcript.pyannote[1506].end |
9248.07096875 |
transcript.pyannote[1507].speaker |
SPEAKER_16 |
transcript.pyannote[1507].start |
9248.77971875 |
transcript.pyannote[1507].end |
9251.81721875 |
transcript.pyannote[1508].speaker |
SPEAKER_16 |
transcript.pyannote[1508].start |
9251.91846875 |
transcript.pyannote[1508].end |
9253.50471875 |
transcript.pyannote[1509].speaker |
SPEAKER_16 |
transcript.pyannote[1509].start |
9254.31471875 |
transcript.pyannote[1509].end |
9277.51784375 |
transcript.pyannote[1510].speaker |
SPEAKER_16 |
transcript.pyannote[1510].start |
9277.97346875 |
transcript.pyannote[1510].end |
9280.03221875 |
transcript.pyannote[1511].speaker |
SPEAKER_16 |
transcript.pyannote[1511].start |
9280.06596875 |
transcript.pyannote[1511].end |
9290.68034375 |
transcript.pyannote[1512].speaker |
SPEAKER_09 |
transcript.pyannote[1512].start |
9290.24159375 |
transcript.pyannote[1512].end |
9295.74284375 |
transcript.pyannote[1513].speaker |
SPEAKER_16 |
transcript.pyannote[1513].start |
9295.74284375 |
transcript.pyannote[1513].end |
9296.16471875 |
transcript.pyannote[1514].speaker |
SPEAKER_09 |
transcript.pyannote[1514].start |
9296.16471875 |
transcript.pyannote[1514].end |
9301.12596875 |
transcript.pyannote[1515].speaker |
SPEAKER_16 |
transcript.pyannote[1515].start |
9299.05034375 |
transcript.pyannote[1515].end |
9299.45534375 |
transcript.pyannote[1516].speaker |
SPEAKER_16 |
transcript.pyannote[1516].start |
9301.27784375 |
transcript.pyannote[1516].end |
9307.08284375 |
transcript.pyannote[1517].speaker |
SPEAKER_09 |
transcript.pyannote[1517].start |
9306.69471875 |
transcript.pyannote[1517].end |
9308.09534375 |
transcript.pyannote[1518].speaker |
SPEAKER_16 |
transcript.pyannote[1518].start |
9308.41596875 |
transcript.pyannote[1518].end |
9309.14159375 |
transcript.pyannote[1519].speaker |
SPEAKER_09 |
transcript.pyannote[1519].start |
9309.14159375 |
transcript.pyannote[1519].end |
9310.71096875 |
transcript.pyannote[1520].speaker |
SPEAKER_09 |
transcript.pyannote[1520].start |
9311.28471875 |
transcript.pyannote[1520].end |
9312.97221875 |
transcript.pyannote[1521].speaker |
SPEAKER_09 |
transcript.pyannote[1521].start |
9313.22534375 |
transcript.pyannote[1521].end |
9321.61221875 |
transcript.pyannote[1522].speaker |
SPEAKER_16 |
transcript.pyannote[1522].start |
9321.81471875 |
transcript.pyannote[1522].end |
9323.80596875 |
transcript.pyannote[1523].speaker |
SPEAKER_09 |
transcript.pyannote[1523].start |
9323.02971875 |
transcript.pyannote[1523].end |
9323.92409375 |
transcript.pyannote[1524].speaker |
SPEAKER_16 |
transcript.pyannote[1524].start |
9324.26159375 |
transcript.pyannote[1524].end |
9336.64784375 |
transcript.pyannote[1525].speaker |
SPEAKER_16 |
transcript.pyannote[1525].start |
9336.69846875 |
transcript.pyannote[1525].end |
9342.60471875 |
transcript.pyannote[1526].speaker |
SPEAKER_09 |
transcript.pyannote[1526].start |
9341.98034375 |
transcript.pyannote[1526].end |
9349.57409375 |
transcript.pyannote[1527].speaker |
SPEAKER_16 |
transcript.pyannote[1527].start |
9350.31659375 |
transcript.pyannote[1527].end |
9364.94721875 |
transcript.pyannote[1528].speaker |
SPEAKER_09 |
transcript.pyannote[1528].start |
9364.50846875 |
transcript.pyannote[1528].end |
9364.71096875 |
transcript.pyannote[1529].speaker |
SPEAKER_09 |
transcript.pyannote[1529].start |
9364.94721875 |
transcript.pyannote[1529].end |
9365.03159375 |
transcript.pyannote[1530].speaker |
SPEAKER_16 |
transcript.pyannote[1530].start |
9365.03159375 |
transcript.pyannote[1530].end |
9366.16221875 |
transcript.pyannote[1531].speaker |
SPEAKER_09 |
transcript.pyannote[1531].start |
9365.75721875 |
transcript.pyannote[1531].end |
9367.46159375 |
transcript.pyannote[1532].speaker |
SPEAKER_16 |
transcript.pyannote[1532].start |
9367.46159375 |
transcript.pyannote[1532].end |
9414.79596875 |
transcript.pyannote[1533].speaker |
SPEAKER_09 |
transcript.pyannote[1533].start |
9373.95846875 |
transcript.pyannote[1533].end |
9374.31284375 |
transcript.pyannote[1534].speaker |
SPEAKER_00 |
transcript.pyannote[1534].start |
9374.31284375 |
transcript.pyannote[1534].end |
9374.32971875 |
transcript.pyannote[1535].speaker |
SPEAKER_00 |
transcript.pyannote[1535].start |
9379.02096875 |
transcript.pyannote[1535].end |
9379.59471875 |
transcript.pyannote[1536].speaker |
SPEAKER_22 |
transcript.pyannote[1536].start |
9402.42659375 |
transcript.pyannote[1536].end |
9403.01721875 |
transcript.pyannote[1537].speaker |
SPEAKER_22 |
transcript.pyannote[1537].start |
9414.84659375 |
transcript.pyannote[1537].end |
9415.13346875 |
transcript.pyannote[1538].speaker |
SPEAKER_16 |
transcript.pyannote[1538].start |
9415.13346875 |
transcript.pyannote[1538].end |
9421.30971875 |
transcript.pyannote[1539].speaker |
SPEAKER_16 |
transcript.pyannote[1539].start |
9421.86659375 |
transcript.pyannote[1539].end |
9432.68346875 |
transcript.pyannote[1540].speaker |
SPEAKER_09 |
transcript.pyannote[1540].start |
9431.01284375 |
transcript.pyannote[1540].end |
9433.78034375 |
transcript.pyannote[1541].speaker |
SPEAKER_16 |
transcript.pyannote[1541].start |
9433.78034375 |
transcript.pyannote[1541].end |
9434.08409375 |
transcript.pyannote[1542].speaker |
SPEAKER_09 |
transcript.pyannote[1542].start |
9434.08409375 |
transcript.pyannote[1542].end |
9439.16346875 |
transcript.pyannote[1543].speaker |
SPEAKER_16 |
transcript.pyannote[1543].start |
9439.48409375 |
transcript.pyannote[1543].end |
9441.17159375 |
transcript.pyannote[1544].speaker |
SPEAKER_09 |
transcript.pyannote[1544].start |
9440.32784375 |
transcript.pyannote[1544].end |
9441.49221875 |
transcript.pyannote[1545].speaker |
SPEAKER_16 |
transcript.pyannote[1545].start |
9441.49221875 |
transcript.pyannote[1545].end |
9449.74409375 |
transcript.pyannote[1546].speaker |
SPEAKER_16 |
transcript.pyannote[1546].start |
9450.25034375 |
transcript.pyannote[1546].end |
9462.09659375 |
transcript.pyannote[1547].speaker |
SPEAKER_09 |
transcript.pyannote[1547].start |
9458.18159375 |
transcript.pyannote[1547].end |
9458.97471875 |
transcript.pyannote[1548].speaker |
SPEAKER_16 |
transcript.pyannote[1548].start |
9462.40034375 |
transcript.pyannote[1548].end |
9480.32159375 |
transcript.pyannote[1549].speaker |
SPEAKER_09 |
transcript.pyannote[1549].start |
9480.06846875 |
transcript.pyannote[1549].end |
9488.42159375 |
transcript.pyannote[1550].speaker |
SPEAKER_16 |
transcript.pyannote[1550].start |
9488.03346875 |
transcript.pyannote[1550].end |
9489.95721875 |
transcript.pyannote[1551].speaker |
SPEAKER_09 |
transcript.pyannote[1551].start |
9488.91096875 |
transcript.pyannote[1551].end |
9490.86846875 |
transcript.pyannote[1552].speaker |
SPEAKER_09 |
transcript.pyannote[1552].start |
9491.62784375 |
transcript.pyannote[1552].end |
9492.74159375 |
transcript.pyannote[1553].speaker |
SPEAKER_09 |
transcript.pyannote[1553].start |
9493.34909375 |
transcript.pyannote[1553].end |
9495.84659375 |
transcript.pyannote[1554].speaker |
SPEAKER_09 |
transcript.pyannote[1554].start |
9495.98159375 |
transcript.pyannote[1554].end |
9498.58034375 |
transcript.pyannote[1555].speaker |
SPEAKER_09 |
transcript.pyannote[1555].start |
9498.71534375 |
transcript.pyannote[1555].end |
9500.06534375 |
transcript.pyannote[1556].speaker |
SPEAKER_09 |
transcript.pyannote[1556].start |
9500.45346875 |
transcript.pyannote[1556].end |
9504.38534375 |
transcript.pyannote[1557].speaker |
SPEAKER_09 |
transcript.pyannote[1557].start |
9504.70596875 |
transcript.pyannote[1557].end |
9505.58346875 |
transcript.pyannote[1558].speaker |
SPEAKER_09 |
transcript.pyannote[1558].start |
9505.98846875 |
transcript.pyannote[1558].end |
9506.14034375 |
transcript.pyannote[1559].speaker |
SPEAKER_16 |
transcript.pyannote[1559].start |
9506.14034375 |
transcript.pyannote[1559].end |
9506.25846875 |
transcript.pyannote[1560].speaker |
SPEAKER_09 |
transcript.pyannote[1560].start |
9506.25846875 |
transcript.pyannote[1560].end |
9506.29221875 |
transcript.pyannote[1561].speaker |
SPEAKER_16 |
transcript.pyannote[1561].start |
9506.29221875 |
transcript.pyannote[1561].end |
9506.62971875 |
transcript.pyannote[1562].speaker |
SPEAKER_09 |
transcript.pyannote[1562].start |
9506.62971875 |
transcript.pyannote[1562].end |
9512.31659375 |
transcript.pyannote[1563].speaker |
SPEAKER_07 |
transcript.pyannote[1563].start |
9512.31659375 |
transcript.pyannote[1563].end |
9513.09284375 |
transcript.pyannote[1564].speaker |
SPEAKER_09 |
transcript.pyannote[1564].start |
9513.09284375 |
transcript.pyannote[1564].end |
9531.06471875 |
transcript.pyannote[1565].speaker |
SPEAKER_20 |
transcript.pyannote[1565].start |
9531.06471875 |
transcript.pyannote[1565].end |
9531.09846875 |
transcript.pyannote[1566].speaker |
SPEAKER_09 |
transcript.pyannote[1566].start |
9531.09846875 |
transcript.pyannote[1566].end |
9531.11534375 |
transcript.pyannote[1567].speaker |
SPEAKER_20 |
transcript.pyannote[1567].start |
9531.11534375 |
transcript.pyannote[1567].end |
9531.13221875 |
transcript.pyannote[1568].speaker |
SPEAKER_09 |
transcript.pyannote[1568].start |
9531.13221875 |
transcript.pyannote[1568].end |
9540.02534375 |
transcript.pyannote[1569].speaker |
SPEAKER_07 |
transcript.pyannote[1569].start |
9540.02534375 |
transcript.pyannote[1569].end |
9540.29534375 |
transcript.pyannote[1570].speaker |
SPEAKER_07 |
transcript.pyannote[1570].start |
9541.98284375 |
transcript.pyannote[1570].end |
9555.11159375 |
transcript.pyannote[1571].speaker |
SPEAKER_00 |
transcript.pyannote[1571].start |
9547.43346875 |
transcript.pyannote[1571].end |
9548.39534375 |
transcript.pyannote[1572].speaker |
SPEAKER_09 |
transcript.pyannote[1572].start |
9554.45346875 |
transcript.pyannote[1572].end |
9556.44471875 |
transcript.pyannote[1573].speaker |
SPEAKER_07 |
transcript.pyannote[1573].start |
9556.84971875 |
transcript.pyannote[1573].end |
9557.03534375 |
transcript.pyannote[1574].speaker |
SPEAKER_09 |
transcript.pyannote[1574].start |
9557.03534375 |
transcript.pyannote[1574].end |
9567.61596875 |
transcript.pyannote[1575].speaker |
SPEAKER_07 |
transcript.pyannote[1575].start |
9558.40221875 |
transcript.pyannote[1575].end |
9559.54971875 |
transcript.pyannote[1576].speaker |
SPEAKER_07 |
transcript.pyannote[1576].start |
9561.06846875 |
transcript.pyannote[1576].end |
9561.08534375 |
transcript.pyannote[1577].speaker |
SPEAKER_22 |
transcript.pyannote[1577].start |
9561.08534375 |
transcript.pyannote[1577].end |
9561.67596875 |
transcript.pyannote[1578].speaker |
SPEAKER_07 |
transcript.pyannote[1578].start |
9561.67596875 |
transcript.pyannote[1578].end |
9561.70971875 |
transcript.pyannote[1579].speaker |
SPEAKER_09 |
transcript.pyannote[1579].start |
9567.68346875 |
transcript.pyannote[1579].end |
9570.28221875 |
transcript.pyannote[1580].speaker |
SPEAKER_07 |
transcript.pyannote[1580].start |
9568.72971875 |
transcript.pyannote[1580].end |
9579.79971875 |
transcript.pyannote[1581].speaker |
SPEAKER_09 |
transcript.pyannote[1581].start |
9579.79971875 |
transcript.pyannote[1581].end |
9584.47409375 |
transcript.pyannote[1582].speaker |
SPEAKER_09 |
transcript.pyannote[1582].start |
9584.67659375 |
transcript.pyannote[1582].end |
9584.79471875 |
transcript.pyannote[1583].speaker |
SPEAKER_07 |
transcript.pyannote[1583].start |
9584.79471875 |
transcript.pyannote[1583].end |
9584.89596875 |
transcript.pyannote[1584].speaker |
SPEAKER_09 |
transcript.pyannote[1584].start |
9584.89596875 |
transcript.pyannote[1584].end |
9585.09846875 |
transcript.pyannote[1585].speaker |
SPEAKER_07 |
transcript.pyannote[1585].start |
9584.92971875 |
transcript.pyannote[1585].end |
9590.68409375 |
transcript.pyannote[1586].speaker |
SPEAKER_09 |
transcript.pyannote[1586].start |
9589.65471875 |
transcript.pyannote[1586].end |
9594.41346875 |
transcript.pyannote[1587].speaker |
SPEAKER_07 |
transcript.pyannote[1587].start |
9592.79346875 |
transcript.pyannote[1587].end |
9599.57721875 |
transcript.pyannote[1588].speaker |
SPEAKER_09 |
transcript.pyannote[1588].start |
9594.86909375 |
transcript.pyannote[1588].end |
9595.62846875 |
transcript.pyannote[1589].speaker |
SPEAKER_09 |
transcript.pyannote[1589].start |
9599.57721875 |
transcript.pyannote[1589].end |
9599.76284375 |
transcript.pyannote[1590].speaker |
SPEAKER_07 |
transcript.pyannote[1590].start |
9599.76284375 |
transcript.pyannote[1590].end |
9599.88096875 |
transcript.pyannote[1591].speaker |
SPEAKER_09 |
transcript.pyannote[1591].start |
9599.88096875 |
transcript.pyannote[1591].end |
9609.12846875 |
transcript.pyannote[1592].speaker |
SPEAKER_09 |
transcript.pyannote[1592].start |
9609.38159375 |
transcript.pyannote[1592].end |
9614.27534375 |
transcript.pyannote[1593].speaker |
SPEAKER_07 |
transcript.pyannote[1593].start |
9614.27534375 |
transcript.pyannote[1593].end |
9614.78159375 |
transcript.pyannote[1594].speaker |
SPEAKER_09 |
transcript.pyannote[1594].start |
9614.66346875 |
transcript.pyannote[1594].end |
9619.57409375 |
transcript.pyannote[1595].speaker |
SPEAKER_09 |
transcript.pyannote[1595].start |
9619.86096875 |
transcript.pyannote[1595].end |
9623.72534375 |
transcript.pyannote[1596].speaker |
SPEAKER_09 |
transcript.pyannote[1596].start |
9624.19784375 |
transcript.pyannote[1596].end |
9662.82471875 |
transcript.pyannote[1597].speaker |
SPEAKER_09 |
transcript.pyannote[1597].start |
9663.75284375 |
transcript.pyannote[1597].end |
9677.55659375 |
transcript.pyannote[1598].speaker |
SPEAKER_07 |
transcript.pyannote[1598].start |
9665.77784375 |
transcript.pyannote[1598].end |
9665.94659375 |
transcript.pyannote[1599].speaker |
SPEAKER_22 |
transcript.pyannote[1599].start |
9665.94659375 |
transcript.pyannote[1599].end |
9665.96346875 |
transcript.pyannote[1600].speaker |
SPEAKER_07 |
transcript.pyannote[1600].start |
9665.96346875 |
transcript.pyannote[1600].end |
9666.16596875 |
transcript.pyannote[1601].speaker |
SPEAKER_07 |
transcript.pyannote[1601].start |
9677.55659375 |
transcript.pyannote[1601].end |
9705.29909375 |
transcript.pyannote[1602].speaker |
SPEAKER_09 |
transcript.pyannote[1602].start |
9677.57346875 |
transcript.pyannote[1602].end |
9678.67034375 |
transcript.pyannote[1603].speaker |
SPEAKER_00 |
transcript.pyannote[1603].start |
9692.52471875 |
transcript.pyannote[1603].end |
9692.65971875 |
transcript.pyannote[1604].speaker |
SPEAKER_22 |
transcript.pyannote[1604].start |
9692.65971875 |
transcript.pyannote[1604].end |
9692.69346875 |
transcript.pyannote[1605].speaker |
SPEAKER_00 |
transcript.pyannote[1605].start |
9692.69346875 |
transcript.pyannote[1605].end |
9692.74409375 |
transcript.pyannote[1606].speaker |
SPEAKER_32 |
transcript.pyannote[1606].start |
9705.26534375 |
transcript.pyannote[1606].end |
9705.56909375 |
transcript.pyannote[1607].speaker |
SPEAKER_07 |
transcript.pyannote[1607].start |
9705.56909375 |
transcript.pyannote[1607].end |
9708.97784375 |
transcript.pyannote[1608].speaker |
SPEAKER_32 |
transcript.pyannote[1608].start |
9705.58596875 |
transcript.pyannote[1608].end |
9705.65346875 |
transcript.pyannote[1609].speaker |
SPEAKER_09 |
transcript.pyannote[1609].start |
9708.97784375 |
transcript.pyannote[1609].end |
9729.37971875 |
transcript.pyannote[1610].speaker |
SPEAKER_09 |
transcript.pyannote[1610].start |
9729.85221875 |
transcript.pyannote[1610].end |
9739.50471875 |
transcript.pyannote[1611].speaker |
SPEAKER_00 |
transcript.pyannote[1611].start |
9729.98721875 |
transcript.pyannote[1611].end |
9730.32471875 |
transcript.pyannote[1612].speaker |
SPEAKER_09 |
transcript.pyannote[1612].start |
9740.23034375 |
transcript.pyannote[1612].end |
9757.12221875 |
transcript.pyannote[1613].speaker |
SPEAKER_07 |
transcript.pyannote[1613].start |
9742.79534375 |
transcript.pyannote[1613].end |
9744.97221875 |
transcript.pyannote[1614].speaker |
SPEAKER_22 |
transcript.pyannote[1614].start |
9744.97221875 |
transcript.pyannote[1614].end |
9745.07346875 |
transcript.pyannote[1615].speaker |
SPEAKER_00 |
transcript.pyannote[1615].start |
9746.47409375 |
transcript.pyannote[1615].end |
9746.54159375 |
transcript.pyannote[1616].speaker |
SPEAKER_07 |
transcript.pyannote[1616].start |
9746.54159375 |
transcript.pyannote[1616].end |
9746.96346875 |
transcript.pyannote[1617].speaker |
SPEAKER_18 |
transcript.pyannote[1617].start |
9746.96346875 |
transcript.pyannote[1617].end |
9748.02659375 |
transcript.pyannote[1618].speaker |
SPEAKER_07 |
transcript.pyannote[1618].start |
9748.02659375 |
transcript.pyannote[1618].end |
9749.08971875 |
transcript.pyannote[1619].speaker |
SPEAKER_07 |
transcript.pyannote[1619].start |
9751.03034375 |
transcript.pyannote[1619].end |
9751.92471875 |
transcript.pyannote[1620].speaker |
SPEAKER_07 |
transcript.pyannote[1620].start |
9756.02534375 |
transcript.pyannote[1620].end |
9767.33159375 |
transcript.pyannote[1621].speaker |
SPEAKER_09 |
transcript.pyannote[1621].start |
9762.87659375 |
transcript.pyannote[1621].end |
9764.26034375 |
transcript.pyannote[1622].speaker |
SPEAKER_09 |
transcript.pyannote[1622].start |
9764.34471875 |
transcript.pyannote[1622].end |
9792.42471875 |
transcript.pyannote[1623].speaker |
SPEAKER_07 |
transcript.pyannote[1623].start |
9767.70284375 |
transcript.pyannote[1623].end |
9768.32721875 |
transcript.pyannote[1624].speaker |
SPEAKER_09 |
transcript.pyannote[1624].start |
9792.59346875 |
transcript.pyannote[1624].end |
9799.02284375 |
transcript.pyannote[1625].speaker |
SPEAKER_07 |
transcript.pyannote[1625].start |
9799.02284375 |
transcript.pyannote[1625].end |
9799.78221875 |
transcript.pyannote[1626].speaker |
SPEAKER_09 |
transcript.pyannote[1626].start |
9799.78221875 |
transcript.pyannote[1626].end |
9799.91721875 |
transcript.pyannote[1627].speaker |
SPEAKER_07 |
transcript.pyannote[1627].start |
9799.91721875 |
transcript.pyannote[1627].end |
9809.29971875 |
transcript.pyannote[1628].speaker |
SPEAKER_09 |
transcript.pyannote[1628].start |
9807.66284375 |
transcript.pyannote[1628].end |
9819.44159375 |
transcript.pyannote[1629].speaker |
SPEAKER_07 |
transcript.pyannote[1629].start |
9809.58659375 |
transcript.pyannote[1629].end |
9812.03346875 |
transcript.pyannote[1630].speaker |
SPEAKER_07 |
transcript.pyannote[1630].start |
9819.44159375 |
transcript.pyannote[1630].end |
9819.72846875 |
transcript.pyannote[1631].speaker |
SPEAKER_09 |
transcript.pyannote[1631].start |
9819.72846875 |
transcript.pyannote[1631].end |
9819.82971875 |
transcript.pyannote[1632].speaker |
SPEAKER_07 |
transcript.pyannote[1632].start |
9819.82971875 |
transcript.pyannote[1632].end |
9819.84659375 |
transcript.pyannote[1633].speaker |
SPEAKER_09 |
transcript.pyannote[1633].start |
9819.84659375 |
transcript.pyannote[1633].end |
9820.03221875 |
transcript.pyannote[1634].speaker |
SPEAKER_07 |
transcript.pyannote[1634].start |
9820.03221875 |
transcript.pyannote[1634].end |
9824.40284375 |
transcript.pyannote[1635].speaker |
SPEAKER_09 |
transcript.pyannote[1635].start |
9822.49596875 |
transcript.pyannote[1635].end |
9824.58846875 |
transcript.pyannote[1636].speaker |
SPEAKER_07 |
transcript.pyannote[1636].start |
9824.58846875 |
transcript.pyannote[1636].end |
9825.16221875 |
transcript.pyannote[1637].speaker |
SPEAKER_09 |
transcript.pyannote[1637].start |
9825.93846875 |
transcript.pyannote[1637].end |
9861.00471875 |
transcript.pyannote[1638].speaker |
SPEAKER_07 |
transcript.pyannote[1638].start |
9826.10721875 |
transcript.pyannote[1638].end |
9828.18284375 |
transcript.pyannote[1639].speaker |
SPEAKER_07 |
transcript.pyannote[1639].start |
9855.99284375 |
transcript.pyannote[1639].end |
9858.37221875 |
transcript.pyannote[1640].speaker |
SPEAKER_07 |
transcript.pyannote[1640].start |
9859.92471875 |
transcript.pyannote[1640].end |
9860.24534375 |
transcript.pyannote[1641].speaker |
SPEAKER_07 |
transcript.pyannote[1641].start |
9861.00471875 |
transcript.pyannote[1641].end |
9861.17346875 |
transcript.pyannote[1642].speaker |
SPEAKER_09 |
transcript.pyannote[1642].start |
9861.17346875 |
transcript.pyannote[1642].end |
9862.16909375 |
transcript.pyannote[1643].speaker |
SPEAKER_09 |
transcript.pyannote[1643].start |
9862.79346875 |
transcript.pyannote[1643].end |
9866.69159375 |
transcript.pyannote[1644].speaker |
SPEAKER_09 |
transcript.pyannote[1644].start |
9867.19784375 |
transcript.pyannote[1644].end |
9869.67846875 |
transcript.pyannote[1645].speaker |
SPEAKER_10 |
transcript.pyannote[1645].start |
9870.04971875 |
transcript.pyannote[1645].end |
9876.41159375 |
transcript.pyannote[1646].speaker |
SPEAKER_10 |
transcript.pyannote[1646].start |
9876.86721875 |
transcript.pyannote[1646].end |
9879.56721875 |
transcript.pyannote[1647].speaker |
SPEAKER_10 |
transcript.pyannote[1647].start |
9879.75284375 |
transcript.pyannote[1647].end |
9885.10221875 |
transcript.pyannote[1648].speaker |
SPEAKER_10 |
transcript.pyannote[1648].start |
9885.45659375 |
transcript.pyannote[1648].end |
9895.05846875 |
transcript.pyannote[1649].speaker |
SPEAKER_22 |
transcript.pyannote[1649].start |
9893.79284375 |
transcript.pyannote[1649].end |
9895.04159375 |
transcript.pyannote[1650].speaker |
SPEAKER_22 |
transcript.pyannote[1650].start |
9895.05846875 |
transcript.pyannote[1650].end |
9895.12596875 |
transcript.pyannote[1651].speaker |
SPEAKER_10 |
transcript.pyannote[1651].start |
9895.12596875 |
transcript.pyannote[1651].end |
9908.22096875 |
transcript.pyannote[1652].speaker |
SPEAKER_10 |
transcript.pyannote[1652].start |
9908.52471875 |
transcript.pyannote[1652].end |
9915.86534375 |
transcript.pyannote[1653].speaker |
SPEAKER_09 |
transcript.pyannote[1653].start |
9915.86534375 |
transcript.pyannote[1653].end |
9944.45159375 |
transcript.pyannote[1654].speaker |
SPEAKER_10 |
transcript.pyannote[1654].start |
9942.42659375 |
transcript.pyannote[1654].end |
9943.37159375 |
transcript.pyannote[1655].speaker |
SPEAKER_10 |
transcript.pyannote[1655].start |
9944.45159375 |
transcript.pyannote[1655].end |
9944.95784375 |
transcript.pyannote[1656].speaker |
SPEAKER_09 |
transcript.pyannote[1656].start |
9944.95784375 |
transcript.pyannote[1656].end |
9950.52659375 |
transcript.pyannote[1657].speaker |
SPEAKER_10 |
transcript.pyannote[1657].start |
9948.67034375 |
transcript.pyannote[1657].end |
9949.04159375 |
transcript.pyannote[1658].speaker |
SPEAKER_10 |
transcript.pyannote[1658].start |
9950.52659375 |
transcript.pyannote[1658].end |
9950.74596875 |
transcript.pyannote[1659].speaker |
SPEAKER_09 |
transcript.pyannote[1659].start |
9950.74596875 |
transcript.pyannote[1659].end |
9958.44096875 |
transcript.pyannote[1660].speaker |
SPEAKER_10 |
transcript.pyannote[1660].start |
9950.99909375 |
transcript.pyannote[1660].end |
9951.33659375 |
transcript.pyannote[1661].speaker |
SPEAKER_10 |
transcript.pyannote[1661].start |
9955.35284375 |
transcript.pyannote[1661].end |
9955.47096875 |
transcript.pyannote[1662].speaker |
SPEAKER_10 |
transcript.pyannote[1662].start |
9956.21346875 |
transcript.pyannote[1662].end |
9956.58471875 |
transcript.pyannote[1663].speaker |
SPEAKER_10 |
transcript.pyannote[1663].start |
9956.71971875 |
transcript.pyannote[1663].end |
9957.69846875 |
transcript.pyannote[1664].speaker |
SPEAKER_09 |
transcript.pyannote[1664].start |
9958.55909375 |
transcript.pyannote[1664].end |
9960.19596875 |
transcript.pyannote[1665].speaker |
SPEAKER_10 |
transcript.pyannote[1665].start |
9959.94284375 |
transcript.pyannote[1665].end |
9961.37721875 |
transcript.pyannote[1666].speaker |
SPEAKER_09 |
transcript.pyannote[1666].start |
9961.37721875 |
transcript.pyannote[1666].end |
9961.54596875 |
transcript.pyannote[1667].speaker |
SPEAKER_07 |
transcript.pyannote[1667].start |
9961.54596875 |
transcript.pyannote[1667].end |
9962.82846875 |
transcript.pyannote[1668].speaker |
SPEAKER_05 |
transcript.pyannote[1668].start |
9963.09846875 |
transcript.pyannote[1668].end |
9969.73034375 |
transcript.pyannote[1669].speaker |
SPEAKER_05 |
transcript.pyannote[1669].start |
10599.82596875 |
transcript.pyannote[1669].end |
10601.00721875 |
transcript.pyannote[1670].speaker |
SPEAKER_05 |
transcript.pyannote[1670].start |
10606.86284375 |
transcript.pyannote[1670].end |
10628.02409375 |
transcript.pyannote[1671].speaker |
SPEAKER_21 |
transcript.pyannote[1671].start |
10634.38596875 |
transcript.pyannote[1671].end |
10635.51659375 |
transcript.pyannote[1672].speaker |
SPEAKER_21 |
transcript.pyannote[1672].start |
10636.05659375 |
transcript.pyannote[1672].end |
10640.03909375 |
transcript.pyannote[1673].speaker |
SPEAKER_05 |
transcript.pyannote[1673].start |
10640.03909375 |
transcript.pyannote[1673].end |
10643.51534375 |
transcript.pyannote[1674].speaker |
SPEAKER_05 |
transcript.pyannote[1674].start |
10644.32534375 |
transcript.pyannote[1674].end |
10645.23659375 |
transcript.pyannote[1675].speaker |
SPEAKER_21 |
transcript.pyannote[1675].start |
10645.96221875 |
transcript.pyannote[1675].end |
10646.01284375 |
transcript.pyannote[1676].speaker |
SPEAKER_22 |
transcript.pyannote[1676].start |
10646.01284375 |
transcript.pyannote[1676].end |
10646.02971875 |
transcript.pyannote[1677].speaker |
SPEAKER_21 |
transcript.pyannote[1677].start |
10646.02971875 |
transcript.pyannote[1677].end |
10646.33346875 |
transcript.pyannote[1678].speaker |
SPEAKER_21 |
transcript.pyannote[1678].start |
10649.33721875 |
transcript.pyannote[1678].end |
10649.80971875 |
transcript.pyannote[1679].speaker |
SPEAKER_21 |
transcript.pyannote[1679].start |
10650.34971875 |
transcript.pyannote[1679].end |
10652.32409375 |
transcript.pyannote[1680].speaker |
SPEAKER_21 |
transcript.pyannote[1680].start |
10653.48846875 |
transcript.pyannote[1680].end |
10654.16346875 |
transcript.pyannote[1681].speaker |
SPEAKER_21 |
transcript.pyannote[1681].start |
10655.14221875 |
transcript.pyannote[1681].end |
10655.95221875 |
transcript.pyannote[1682].speaker |
SPEAKER_21 |
transcript.pyannote[1682].start |
10656.88034375 |
transcript.pyannote[1682].end |
10658.31471875 |
transcript.pyannote[1683].speaker |
SPEAKER_21 |
transcript.pyannote[1683].start |
10658.33159375 |
transcript.pyannote[1683].end |
10659.04034375 |
transcript.pyannote[1684].speaker |
SPEAKER_21 |
transcript.pyannote[1684].start |
10659.39471875 |
transcript.pyannote[1684].end |
10660.25534375 |
transcript.pyannote[1685].speaker |
SPEAKER_21 |
transcript.pyannote[1685].start |
10661.65596875 |
transcript.pyannote[1685].end |
10662.51659375 |
transcript.pyannote[1686].speaker |
SPEAKER_21 |
transcript.pyannote[1686].start |
10663.29284375 |
transcript.pyannote[1686].end |
10664.89596875 |
transcript.pyannote[1687].speaker |
SPEAKER_21 |
transcript.pyannote[1687].start |
10665.45284375 |
transcript.pyannote[1687].end |
10667.03909375 |
transcript.pyannote[1688].speaker |
SPEAKER_21 |
transcript.pyannote[1688].start |
10667.93346875 |
transcript.pyannote[1688].end |
10670.02596875 |
transcript.pyannote[1689].speaker |
SPEAKER_21 |
transcript.pyannote[1689].start |
10670.41409375 |
transcript.pyannote[1689].end |
10672.08471875 |
transcript.pyannote[1690].speaker |
SPEAKER_21 |
transcript.pyannote[1690].start |
10672.43909375 |
transcript.pyannote[1690].end |
10673.55284375 |
transcript.pyannote[1691].speaker |
SPEAKER_21 |
transcript.pyannote[1691].start |
10674.24471875 |
transcript.pyannote[1691].end |
10676.48909375 |
transcript.pyannote[1692].speaker |
SPEAKER_21 |
transcript.pyannote[1692].start |
10677.56909375 |
transcript.pyannote[1692].end |
10679.07096875 |
transcript.pyannote[1693].speaker |
SPEAKER_21 |
transcript.pyannote[1693].start |
10679.56034375 |
transcript.pyannote[1693].end |
10680.43784375 |
transcript.pyannote[1694].speaker |
SPEAKER_21 |
transcript.pyannote[1694].start |
10681.06221875 |
transcript.pyannote[1694].end |
10681.82159375 |
transcript.pyannote[1695].speaker |
SPEAKER_21 |
transcript.pyannote[1695].start |
10682.56409375 |
transcript.pyannote[1695].end |
10683.15471875 |
transcript.pyannote[1696].speaker |
SPEAKER_21 |
transcript.pyannote[1696].start |
10683.52596875 |
transcript.pyannote[1696].end |
10684.06596875 |
transcript.pyannote[1697].speaker |
SPEAKER_21 |
transcript.pyannote[1697].start |
10684.87596875 |
transcript.pyannote[1697].end |
10687.33971875 |
transcript.pyannote[1698].speaker |
SPEAKER_21 |
transcript.pyannote[1698].start |
10688.55471875 |
transcript.pyannote[1698].end |
10689.58409375 |
transcript.pyannote[1699].speaker |
SPEAKER_21 |
transcript.pyannote[1699].start |
10689.92159375 |
transcript.pyannote[1699].end |
10692.11534375 |
transcript.pyannote[1700].speaker |
SPEAKER_21 |
transcript.pyannote[1700].start |
10692.58784375 |
transcript.pyannote[1700].end |
10693.33034375 |
transcript.pyannote[1701].speaker |
SPEAKER_21 |
transcript.pyannote[1701].start |
10694.17409375 |
transcript.pyannote[1701].end |
10695.16971875 |
transcript.pyannote[1702].speaker |
SPEAKER_21 |
transcript.pyannote[1702].start |
10695.47346875 |
transcript.pyannote[1702].end |
10696.72221875 |
transcript.pyannote[1703].speaker |
SPEAKER_21 |
transcript.pyannote[1703].start |
10697.12721875 |
transcript.pyannote[1703].end |
10698.37596875 |
transcript.pyannote[1704].speaker |
SPEAKER_21 |
transcript.pyannote[1704].start |
10698.89909375 |
transcript.pyannote[1704].end |
10700.70471875 |
transcript.pyannote[1705].speaker |
SPEAKER_21 |
transcript.pyannote[1705].start |
10701.78471875 |
transcript.pyannote[1705].end |
10702.62846875 |
transcript.pyannote[1706].speaker |
SPEAKER_21 |
transcript.pyannote[1706].start |
10703.20221875 |
transcript.pyannote[1706].end |
10705.02471875 |
transcript.pyannote[1707].speaker |
SPEAKER_21 |
transcript.pyannote[1707].start |
10705.27784375 |
transcript.pyannote[1707].end |
10707.03284375 |
transcript.pyannote[1708].speaker |
SPEAKER_21 |
transcript.pyannote[1708].start |
10708.01159375 |
transcript.pyannote[1708].end |
10709.36159375 |
transcript.pyannote[1709].speaker |
SPEAKER_21 |
transcript.pyannote[1709].start |
10709.63159375 |
transcript.pyannote[1709].end |
10713.64784375 |
transcript.pyannote[1710].speaker |
SPEAKER_21 |
transcript.pyannote[1710].start |
10714.39034375 |
transcript.pyannote[1710].end |
10716.06096875 |
transcript.pyannote[1711].speaker |
SPEAKER_21 |
transcript.pyannote[1711].start |
10717.27596875 |
transcript.pyannote[1711].end |
10720.78596875 |
transcript.pyannote[1712].speaker |
SPEAKER_21 |
transcript.pyannote[1712].start |
10721.69721875 |
transcript.pyannote[1712].end |
10722.25409375 |
transcript.pyannote[1713].speaker |
SPEAKER_21 |
transcript.pyannote[1713].start |
10723.60409375 |
transcript.pyannote[1713].end |
10724.68409375 |
transcript.pyannote[1714].speaker |
SPEAKER_21 |
transcript.pyannote[1714].start |
10725.42659375 |
transcript.pyannote[1714].end |
10725.94971875 |
transcript.pyannote[1715].speaker |
SPEAKER_21 |
transcript.pyannote[1715].start |
10726.62471875 |
transcript.pyannote[1715].end |
10728.37971875 |
transcript.pyannote[1716].speaker |
SPEAKER_21 |
transcript.pyannote[1716].start |
10728.93659375 |
transcript.pyannote[1716].end |
10729.93221875 |
transcript.pyannote[1717].speaker |
SPEAKER_21 |
transcript.pyannote[1717].start |
10730.37096875 |
transcript.pyannote[1717].end |
10731.90659375 |
transcript.pyannote[1718].speaker |
SPEAKER_21 |
transcript.pyannote[1718].start |
10732.64909375 |
transcript.pyannote[1718].end |
10733.74596875 |
transcript.pyannote[1719].speaker |
SPEAKER_21 |
transcript.pyannote[1719].start |
10733.91471875 |
transcript.pyannote[1719].end |
10734.94409375 |
transcript.pyannote[1720].speaker |
SPEAKER_21 |
transcript.pyannote[1720].start |
10734.97784375 |
transcript.pyannote[1720].end |
10737.86346875 |
transcript.pyannote[1721].speaker |
SPEAKER_21 |
transcript.pyannote[1721].start |
10738.13346875 |
transcript.pyannote[1721].end |
10741.03596875 |
transcript.pyannote[1722].speaker |
SPEAKER_21 |
transcript.pyannote[1722].start |
10741.25534375 |
transcript.pyannote[1722].end |
10743.73596875 |
transcript.pyannote[1723].speaker |
SPEAKER_21 |
transcript.pyannote[1723].start |
10744.29284375 |
transcript.pyannote[1723].end |
10759.36221875 |
transcript.pyannote[1724].speaker |
SPEAKER_21 |
transcript.pyannote[1724].start |
10759.64909375 |
transcript.pyannote[1724].end |
10764.28971875 |
transcript.pyannote[1725].speaker |
SPEAKER_21 |
transcript.pyannote[1725].start |
10764.67784375 |
transcript.pyannote[1725].end |
10767.41159375 |
transcript.pyannote[1726].speaker |
SPEAKER_21 |
transcript.pyannote[1726].start |
10767.95159375 |
transcript.pyannote[1726].end |
10771.51221875 |
transcript.pyannote[1727].speaker |
SPEAKER_22 |
transcript.pyannote[1727].start |
10771.51221875 |
transcript.pyannote[1727].end |
10771.91721875 |
transcript.pyannote[1728].speaker |
SPEAKER_21 |
transcript.pyannote[1728].start |
10772.05221875 |
transcript.pyannote[1728].end |
10779.42659375 |
transcript.pyannote[1729].speaker |
SPEAKER_21 |
transcript.pyannote[1729].start |
10779.49409375 |
transcript.pyannote[1729].end |
10781.29971875 |
transcript.pyannote[1730].speaker |
SPEAKER_21 |
transcript.pyannote[1730].start |
10781.60346875 |
transcript.pyannote[1730].end |
10782.48096875 |
transcript.pyannote[1731].speaker |
SPEAKER_21 |
transcript.pyannote[1731].start |
10782.75096875 |
transcript.pyannote[1731].end |
10785.07971875 |
transcript.pyannote[1732].speaker |
SPEAKER_21 |
transcript.pyannote[1732].start |
10785.94034375 |
transcript.pyannote[1732].end |
10791.55971875 |
transcript.pyannote[1733].speaker |
SPEAKER_21 |
transcript.pyannote[1733].start |
10792.35284375 |
transcript.pyannote[1733].end |
10794.61409375 |
transcript.pyannote[1734].speaker |
SPEAKER_21 |
transcript.pyannote[1734].start |
10795.25534375 |
transcript.pyannote[1734].end |
10797.46596875 |
transcript.pyannote[1735].speaker |
SPEAKER_21 |
transcript.pyannote[1735].start |
10797.97221875 |
transcript.pyannote[1735].end |
10799.86221875 |
transcript.pyannote[1736].speaker |
SPEAKER_21 |
transcript.pyannote[1736].start |
10800.60471875 |
transcript.pyannote[1736].end |
10801.41471875 |
transcript.pyannote[1737].speaker |
SPEAKER_21 |
transcript.pyannote[1737].start |
10802.74784375 |
transcript.pyannote[1737].end |
10805.38034375 |
transcript.pyannote[1738].speaker |
SPEAKER_21 |
transcript.pyannote[1738].start |
10805.86971875 |
transcript.pyannote[1738].end |
10807.38846875 |
transcript.pyannote[1739].speaker |
SPEAKER_21 |
transcript.pyannote[1739].start |
10808.02971875 |
transcript.pyannote[1739].end |
10809.22784375 |
transcript.pyannote[1740].speaker |
SPEAKER_21 |
transcript.pyannote[1740].start |
10810.57784375 |
transcript.pyannote[1740].end |
10810.93221875 |
transcript.pyannote[1741].speaker |
SPEAKER_21 |
transcript.pyannote[1741].start |
10811.30346875 |
transcript.pyannote[1741].end |
10811.96159375 |
transcript.pyannote[1742].speaker |
SPEAKER_21 |
transcript.pyannote[1742].start |
10812.88971875 |
transcript.pyannote[1742].end |
10813.48034375 |
transcript.pyannote[1743].speaker |
SPEAKER_21 |
transcript.pyannote[1743].start |
10814.37471875 |
transcript.pyannote[1743].end |
10814.52659375 |
transcript.pyannote[1744].speaker |
SPEAKER_21 |
transcript.pyannote[1744].start |
10815.11721875 |
transcript.pyannote[1744].end |
10818.89721875 |
transcript.pyannote[1745].speaker |
SPEAKER_21 |
transcript.pyannote[1745].start |
10819.80846875 |
transcript.pyannote[1745].end |
10821.74909375 |
transcript.pyannote[1746].speaker |
SPEAKER_21 |
transcript.pyannote[1746].start |
10822.10346875 |
transcript.pyannote[1746].end |
10828.76909375 |
transcript.pyannote[1747].speaker |
SPEAKER_21 |
transcript.pyannote[1747].start |
10829.42721875 |
transcript.pyannote[1747].end |
10830.35534375 |
transcript.pyannote[1748].speaker |
SPEAKER_21 |
transcript.pyannote[1748].start |
10830.69284375 |
transcript.pyannote[1748].end |
10832.54909375 |
transcript.pyannote[1749].speaker |
SPEAKER_21 |
transcript.pyannote[1749].start |
10832.83596875 |
transcript.pyannote[1749].end |
10833.94971875 |
transcript.pyannote[1750].speaker |
SPEAKER_21 |
transcript.pyannote[1750].start |
10834.25346875 |
transcript.pyannote[1750].end |
10835.04659375 |
transcript.pyannote[1751].speaker |
SPEAKER_21 |
transcript.pyannote[1751].start |
10835.29971875 |
transcript.pyannote[1751].end |
10837.35846875 |
transcript.pyannote[1752].speaker |
SPEAKER_21 |
transcript.pyannote[1752].start |
10838.05034375 |
transcript.pyannote[1752].end |
10848.14159375 |
transcript.pyannote[1753].speaker |
SPEAKER_21 |
transcript.pyannote[1753].start |
10849.44096875 |
transcript.pyannote[1753].end |
10850.06534375 |
transcript.pyannote[1754].speaker |
SPEAKER_21 |
transcript.pyannote[1754].start |
10850.67284375 |
transcript.pyannote[1754].end |
10851.55034375 |
transcript.pyannote[1755].speaker |
SPEAKER_21 |
transcript.pyannote[1755].start |
10851.82034375 |
transcript.pyannote[1755].end |
10853.18721875 |
transcript.pyannote[1756].speaker |
SPEAKER_21 |
transcript.pyannote[1756].start |
10853.98034375 |
transcript.pyannote[1756].end |
10854.53721875 |
transcript.pyannote[1757].speaker |
SPEAKER_21 |
transcript.pyannote[1757].start |
10854.84096875 |
transcript.pyannote[1757].end |
10855.54971875 |
transcript.pyannote[1758].speaker |
SPEAKER_21 |
transcript.pyannote[1758].start |
10855.60034375 |
transcript.pyannote[1758].end |
10856.42721875 |
transcript.pyannote[1759].speaker |
SPEAKER_21 |
transcript.pyannote[1759].start |
10857.94596875 |
transcript.pyannote[1759].end |
10859.36346875 |
transcript.pyannote[1760].speaker |
SPEAKER_21 |
transcript.pyannote[1760].start |
10859.80221875 |
transcript.pyannote[1760].end |
10862.56971875 |
transcript.pyannote[1761].speaker |
SPEAKER_21 |
transcript.pyannote[1761].start |
10862.73846875 |
transcript.pyannote[1761].end |
10866.77159375 |
transcript.pyannote[1762].speaker |
SPEAKER_21 |
transcript.pyannote[1762].start |
10867.26096875 |
transcript.pyannote[1762].end |
10868.39159375 |
transcript.pyannote[1763].speaker |
SPEAKER_21 |
transcript.pyannote[1763].start |
10869.01596875 |
transcript.pyannote[1763].end |
10869.62346875 |
transcript.pyannote[1764].speaker |
SPEAKER_21 |
transcript.pyannote[1764].start |
10870.19721875 |
transcript.pyannote[1764].end |
10872.71159375 |
transcript.pyannote[1765].speaker |
SPEAKER_21 |
transcript.pyannote[1765].start |
10873.94346875 |
transcript.pyannote[1765].end |
10874.44971875 |
transcript.pyannote[1766].speaker |
SPEAKER_21 |
transcript.pyannote[1766].start |
10875.63096875 |
transcript.pyannote[1766].end |
10877.18346875 |
transcript.pyannote[1767].speaker |
SPEAKER_21 |
transcript.pyannote[1767].start |
10877.80784375 |
transcript.pyannote[1767].end |
10878.82034375 |
transcript.pyannote[1768].speaker |
SPEAKER_21 |
transcript.pyannote[1768].start |
10879.44471875 |
transcript.pyannote[1768].end |
10880.37284375 |
transcript.pyannote[1769].speaker |
SPEAKER_21 |
transcript.pyannote[1769].start |
10881.75659375 |
transcript.pyannote[1769].end |
10882.81971875 |
transcript.pyannote[1770].speaker |
SPEAKER_21 |
transcript.pyannote[1770].start |
10883.07284375 |
transcript.pyannote[1770].end |
10884.18659375 |
transcript.pyannote[1771].speaker |
SPEAKER_21 |
transcript.pyannote[1771].start |
10884.70971875 |
transcript.pyannote[1771].end |
10885.28346875 |
transcript.pyannote[1772].speaker |
SPEAKER_21 |
transcript.pyannote[1772].start |
10885.85721875 |
transcript.pyannote[1772].end |
10886.97096875 |
transcript.pyannote[1773].speaker |
SPEAKER_21 |
transcript.pyannote[1773].start |
10887.51096875 |
transcript.pyannote[1773].end |
10888.21971875 |
transcript.pyannote[1774].speaker |
SPEAKER_21 |
transcript.pyannote[1774].start |
10889.50221875 |
transcript.pyannote[1774].end |
10890.22784375 |
transcript.pyannote[1775].speaker |
SPEAKER_21 |
transcript.pyannote[1775].start |
10890.34596875 |
transcript.pyannote[1775].end |
10891.05471875 |
transcript.pyannote[1776].speaker |
SPEAKER_21 |
transcript.pyannote[1776].start |
10891.42596875 |
transcript.pyannote[1776].end |
10893.88971875 |
transcript.pyannote[1777].speaker |
SPEAKER_21 |
transcript.pyannote[1777].start |
10895.25659375 |
transcript.pyannote[1777].end |
10896.79221875 |
transcript.pyannote[1778].speaker |
SPEAKER_21 |
transcript.pyannote[1778].start |
10897.51784375 |
transcript.pyannote[1778].end |
10898.20971875 |
transcript.pyannote[1779].speaker |
SPEAKER_21 |
transcript.pyannote[1779].start |
10898.71596875 |
transcript.pyannote[1779].end |
10899.94784375 |
transcript.pyannote[1780].speaker |
SPEAKER_21 |
transcript.pyannote[1780].start |
10900.48784375 |
transcript.pyannote[1780].end |
10901.29784375 |
transcript.pyannote[1781].speaker |
SPEAKER_21 |
transcript.pyannote[1781].start |
10901.90534375 |
transcript.pyannote[1781].end |
10905.34784375 |
transcript.pyannote[1782].speaker |
SPEAKER_21 |
transcript.pyannote[1782].start |
10906.03971875 |
transcript.pyannote[1782].end |
10916.06346875 |
transcript.pyannote[1783].speaker |
SPEAKER_21 |
transcript.pyannote[1783].start |
10917.19409375 |
transcript.pyannote[1783].end |
10918.71284375 |
transcript.pyannote[1784].speaker |
SPEAKER_21 |
transcript.pyannote[1784].start |
10919.08409375 |
transcript.pyannote[1784].end |
10923.43784375 |
transcript.pyannote[1785].speaker |
SPEAKER_21 |
transcript.pyannote[1785].start |
10924.09596875 |
transcript.pyannote[1785].end |
10924.46721875 |
transcript.pyannote[1786].speaker |
SPEAKER_21 |
transcript.pyannote[1786].start |
10924.95659375 |
transcript.pyannote[1786].end |
10938.16971875 |
transcript.pyannote[1787].speaker |
SPEAKER_21 |
transcript.pyannote[1787].start |
10938.77721875 |
transcript.pyannote[1787].end |
10944.27846875 |
transcript.pyannote[1788].speaker |
SPEAKER_21 |
transcript.pyannote[1788].start |
10945.57784375 |
transcript.pyannote[1788].end |
10946.65784375 |
transcript.pyannote[1789].speaker |
SPEAKER_21 |
transcript.pyannote[1789].start |
10947.38346875 |
transcript.pyannote[1789].end |
10951.01159375 |
transcript.pyannote[1790].speaker |
SPEAKER_21 |
transcript.pyannote[1790].start |
10951.55159375 |
transcript.pyannote[1790].end |
10954.87596875 |
transcript.pyannote[1791].speaker |
SPEAKER_22 |
transcript.pyannote[1791].start |
10954.87596875 |
transcript.pyannote[1791].end |
10954.89284375 |
transcript.pyannote[1792].speaker |
SPEAKER_21 |
transcript.pyannote[1792].start |
10954.89284375 |
transcript.pyannote[1792].end |
10954.92659375 |
transcript.pyannote[1793].speaker |
SPEAKER_21 |
transcript.pyannote[1793].start |
10955.87159375 |
transcript.pyannote[1793].end |
10959.09471875 |
transcript.pyannote[1794].speaker |
SPEAKER_21 |
transcript.pyannote[1794].start |
10960.00596875 |
transcript.pyannote[1794].end |
10966.95846875 |
transcript.pyannote[1795].speaker |
SPEAKER_21 |
transcript.pyannote[1795].start |
10967.66721875 |
transcript.pyannote[1795].end |
10968.08909375 |
transcript.pyannote[1796].speaker |
SPEAKER_21 |
transcript.pyannote[1796].start |
10968.39284375 |
transcript.pyannote[1796].end |
10970.23221875 |
transcript.pyannote[1797].speaker |
SPEAKER_21 |
transcript.pyannote[1797].start |
10970.89034375 |
transcript.pyannote[1797].end |
10972.78034375 |
transcript.pyannote[1798].speaker |
SPEAKER_21 |
transcript.pyannote[1798].start |
10973.38784375 |
transcript.pyannote[1798].end |
10975.10909375 |
transcript.pyannote[1799].speaker |
SPEAKER_21 |
transcript.pyannote[1799].start |
10976.05409375 |
transcript.pyannote[1799].end |
10978.18034375 |
transcript.pyannote[1800].speaker |
SPEAKER_21 |
transcript.pyannote[1800].start |
10979.74971875 |
transcript.pyannote[1800].end |
10981.87596875 |
transcript.pyannote[1801].speaker |
SPEAKER_21 |
transcript.pyannote[1801].start |
10982.50034375 |
transcript.pyannote[1801].end |
10983.32721875 |
transcript.pyannote[1802].speaker |
SPEAKER_21 |
transcript.pyannote[1802].start |
10983.54659375 |
transcript.pyannote[1802].end |
10984.71096875 |
transcript.pyannote[1803].speaker |
SPEAKER_21 |
transcript.pyannote[1803].start |
10984.99784375 |
transcript.pyannote[1803].end |
10987.30971875 |
transcript.pyannote[1804].speaker |
SPEAKER_21 |
transcript.pyannote[1804].start |
10987.78221875 |
transcript.pyannote[1804].end |
10989.79034375 |
transcript.pyannote[1805].speaker |
SPEAKER_21 |
transcript.pyannote[1805].start |
10990.90409375 |
transcript.pyannote[1805].end |
10992.18659375 |
transcript.pyannote[1806].speaker |
SPEAKER_21 |
transcript.pyannote[1806].start |
10992.30471875 |
transcript.pyannote[1806].end |
10993.51971875 |
transcript.pyannote[1807].speaker |
SPEAKER_21 |
transcript.pyannote[1807].start |
10994.86971875 |
transcript.pyannote[1807].end |
10999.20659375 |
transcript.pyannote[1808].speaker |
SPEAKER_21 |
transcript.pyannote[1808].start |
10999.39221875 |
transcript.pyannote[1808].end |
11001.21471875 |
transcript.pyannote[1809].speaker |
SPEAKER_21 |
transcript.pyannote[1809].start |
11002.36221875 |
transcript.pyannote[1809].end |
11003.50971875 |
transcript.pyannote[1810].speaker |
SPEAKER_21 |
transcript.pyannote[1810].start |
11004.70784375 |
transcript.pyannote[1810].end |
11006.24346875 |
transcript.pyannote[1811].speaker |
SPEAKER_21 |
transcript.pyannote[1811].start |
11008.21784375 |
transcript.pyannote[1811].end |
11009.01096875 |
transcript.pyannote[1812].speaker |
SPEAKER_21 |
transcript.pyannote[1812].start |
11009.39909375 |
transcript.pyannote[1812].end |
11011.66034375 |
transcript.pyannote[1813].speaker |
SPEAKER_21 |
transcript.pyannote[1813].start |
11012.36909375 |
transcript.pyannote[1813].end |
11013.70221875 |
transcript.pyannote[1814].speaker |
SPEAKER_21 |
transcript.pyannote[1814].start |
11014.90034375 |
transcript.pyannote[1814].end |
11016.68909375 |
transcript.pyannote[1815].speaker |
SPEAKER_21 |
transcript.pyannote[1815].start |
11016.97596875 |
transcript.pyannote[1815].end |
11018.46096875 |
transcript.pyannote[1816].speaker |
SPEAKER_21 |
transcript.pyannote[1816].start |
11018.84909375 |
transcript.pyannote[1816].end |
11021.58284375 |
transcript.pyannote[1817].speaker |
SPEAKER_21 |
transcript.pyannote[1817].start |
11022.69659375 |
transcript.pyannote[1817].end |
11023.52346875 |
transcript.pyannote[1818].speaker |
SPEAKER_21 |
transcript.pyannote[1818].start |
11024.24909375 |
transcript.pyannote[1818].end |
11025.21096875 |
transcript.pyannote[1819].speaker |
SPEAKER_21 |
transcript.pyannote[1819].start |
11025.61596875 |
transcript.pyannote[1819].end |
11026.22346875 |
transcript.pyannote[1820].speaker |
SPEAKER_21 |
transcript.pyannote[1820].start |
11027.08409375 |
transcript.pyannote[1820].end |
11028.18096875 |
transcript.pyannote[1821].speaker |
SPEAKER_21 |
transcript.pyannote[1821].start |
11029.95284375 |
transcript.pyannote[1821].end |
11030.83034375 |
transcript.pyannote[1822].speaker |
SPEAKER_21 |
transcript.pyannote[1822].start |
11031.25221875 |
transcript.pyannote[1822].end |
11033.29409375 |
transcript.pyannote[1823].speaker |
SPEAKER_21 |
transcript.pyannote[1823].start |
11033.83409375 |
transcript.pyannote[1823].end |
11035.96034375 |
transcript.pyannote[1824].speaker |
SPEAKER_21 |
transcript.pyannote[1824].start |
11036.43284375 |
transcript.pyannote[1824].end |
11037.76596875 |
transcript.pyannote[1825].speaker |
SPEAKER_21 |
transcript.pyannote[1825].start |
11037.93471875 |
transcript.pyannote[1825].end |
11039.55471875 |
transcript.pyannote[1826].speaker |
SPEAKER_21 |
transcript.pyannote[1826].start |
11040.09471875 |
transcript.pyannote[1826].end |
11041.09034375 |
transcript.pyannote[1827].speaker |
SPEAKER_21 |
transcript.pyannote[1827].start |
11041.61346875 |
transcript.pyannote[1827].end |
11042.44034375 |
transcript.pyannote[1828].speaker |
SPEAKER_21 |
transcript.pyannote[1828].start |
11043.35159375 |
transcript.pyannote[1828].end |
11045.29221875 |
transcript.pyannote[1829].speaker |
SPEAKER_21 |
transcript.pyannote[1829].start |
11046.00096875 |
transcript.pyannote[1829].end |
11047.14846875 |
transcript.pyannote[1830].speaker |
SPEAKER_21 |
transcript.pyannote[1830].start |
11047.63784375 |
transcript.pyannote[1830].end |
11047.85721875 |
transcript.pyannote[1831].speaker |
SPEAKER_21 |
transcript.pyannote[1831].start |
11048.00909375 |
transcript.pyannote[1831].end |
11049.03846875 |
transcript.pyannote[1832].speaker |
SPEAKER_21 |
transcript.pyannote[1832].start |
11050.47284375 |
transcript.pyannote[1832].end |
11053.18971875 |
transcript.pyannote[1833].speaker |
SPEAKER_21 |
transcript.pyannote[1833].start |
11053.96596875 |
transcript.pyannote[1833].end |
11060.73284375 |
transcript.pyannote[1834].speaker |
SPEAKER_21 |
transcript.pyannote[1834].start |
11061.57659375 |
transcript.pyannote[1834].end |
11062.72409375 |
transcript.pyannote[1835].speaker |
SPEAKER_21 |
transcript.pyannote[1835].start |
11063.56784375 |
transcript.pyannote[1835].end |
11064.20909375 |
transcript.pyannote[1836].speaker |
SPEAKER_21 |
transcript.pyannote[1836].start |
11064.56346875 |
transcript.pyannote[1836].end |
11066.48721875 |
transcript.pyannote[1837].speaker |
SPEAKER_21 |
transcript.pyannote[1837].start |
11067.41534375 |
transcript.pyannote[1837].end |
11067.85409375 |
transcript.pyannote[1838].speaker |
SPEAKER_21 |
transcript.pyannote[1838].start |
11068.59659375 |
transcript.pyannote[1838].end |
11069.38971875 |
transcript.pyannote[1839].speaker |
SPEAKER_21 |
transcript.pyannote[1839].start |
11070.04784375 |
transcript.pyannote[1839].end |
11073.52409375 |
transcript.pyannote[1840].speaker |
SPEAKER_21 |
transcript.pyannote[1840].start |
11074.57034375 |
transcript.pyannote[1840].end |
11077.20284375 |
transcript.pyannote[1841].speaker |
SPEAKER_21 |
transcript.pyannote[1841].start |
11077.89471875 |
transcript.pyannote[1841].end |
11079.16034375 |
transcript.pyannote[1842].speaker |
SPEAKER_21 |
transcript.pyannote[1842].start |
11079.46409375 |
transcript.pyannote[1842].end |
11080.88159375 |
transcript.pyannote[1843].speaker |
SPEAKER_21 |
transcript.pyannote[1843].start |
11081.30346875 |
transcript.pyannote[1843].end |
11081.74221875 |
transcript.pyannote[1844].speaker |
SPEAKER_21 |
transcript.pyannote[1844].start |
11082.33284375 |
transcript.pyannote[1844].end |
11083.81784375 |
transcript.pyannote[1845].speaker |
SPEAKER_21 |
transcript.pyannote[1845].start |
11084.45909375 |
transcript.pyannote[1845].end |
11085.80909375 |
transcript.pyannote[1846].speaker |
SPEAKER_21 |
transcript.pyannote[1846].start |
11086.85534375 |
transcript.pyannote[1846].end |
11087.86784375 |
transcript.pyannote[1847].speaker |
SPEAKER_21 |
transcript.pyannote[1847].start |
11088.61034375 |
transcript.pyannote[1847].end |
11089.85909375 |
transcript.pyannote[1848].speaker |
SPEAKER_21 |
transcript.pyannote[1848].start |
11089.97721875 |
transcript.pyannote[1848].end |
11090.51721875 |
transcript.pyannote[1849].speaker |
SPEAKER_21 |
transcript.pyannote[1849].start |
11090.82096875 |
transcript.pyannote[1849].end |
11092.28909375 |
transcript.pyannote[1850].speaker |
SPEAKER_21 |
transcript.pyannote[1850].start |
11092.71096875 |
transcript.pyannote[1850].end |
11093.65596875 |
transcript.pyannote[1851].speaker |
SPEAKER_21 |
transcript.pyannote[1851].start |
11094.38159375 |
transcript.pyannote[1851].end |
11095.17471875 |
transcript.pyannote[1852].speaker |
SPEAKER_21 |
transcript.pyannote[1852].start |
11095.57971875 |
transcript.pyannote[1852].end |
11096.23784375 |
transcript.pyannote[1853].speaker |
SPEAKER_21 |
transcript.pyannote[1853].start |
11097.45284375 |
transcript.pyannote[1853].end |
11099.39346875 |
transcript.pyannote[1854].speaker |
SPEAKER_21 |
transcript.pyannote[1854].start |
11099.79846875 |
transcript.pyannote[1854].end |
11100.84471875 |
transcript.pyannote[1855].speaker |
SPEAKER_21 |
transcript.pyannote[1855].start |
11101.46909375 |
transcript.pyannote[1855].end |
11103.24096875 |
transcript.pyannote[1856].speaker |
SPEAKER_21 |
transcript.pyannote[1856].start |
11104.54034375 |
transcript.pyannote[1856].end |
11106.56534375 |
transcript.pyannote[1857].speaker |
SPEAKER_21 |
transcript.pyannote[1857].start |
11107.94909375 |
transcript.pyannote[1857].end |
11108.82659375 |
transcript.pyannote[1858].speaker |
SPEAKER_21 |
transcript.pyannote[1858].start |
11109.65346875 |
transcript.pyannote[1858].end |
11111.15534375 |
transcript.pyannote[1859].speaker |
SPEAKER_21 |
transcript.pyannote[1859].start |
11111.99909375 |
transcript.pyannote[1859].end |
11115.82971875 |
transcript.pyannote[1860].speaker |
SPEAKER_21 |
transcript.pyannote[1860].start |
11116.18409375 |
transcript.pyannote[1860].end |
11117.98971875 |
transcript.pyannote[1861].speaker |
SPEAKER_21 |
transcript.pyannote[1861].start |
11118.76596875 |
transcript.pyannote[1861].end |
11122.24221875 |
transcript.pyannote[1862].speaker |
SPEAKER_21 |
transcript.pyannote[1862].start |
11122.57971875 |
transcript.pyannote[1862].end |
11124.35159375 |
transcript.pyannote[1863].speaker |
SPEAKER_21 |
transcript.pyannote[1863].start |
11125.83659375 |
transcript.pyannote[1863].end |
11126.78159375 |
transcript.pyannote[1864].speaker |
SPEAKER_21 |
transcript.pyannote[1864].start |
11127.57471875 |
transcript.pyannote[1864].end |
11128.13159375 |
transcript.pyannote[1865].speaker |
SPEAKER_21 |
transcript.pyannote[1865].start |
11129.21159375 |
transcript.pyannote[1865].end |
11132.23221875 |
transcript.pyannote[1866].speaker |
SPEAKER_21 |
transcript.pyannote[1866].start |
11133.24471875 |
transcript.pyannote[1866].end |
11134.64534375 |
transcript.pyannote[1867].speaker |
SPEAKER_21 |
transcript.pyannote[1867].start |
11134.89846875 |
transcript.pyannote[1867].end |
11136.16409375 |
transcript.pyannote[1868].speaker |
SPEAKER_21 |
transcript.pyannote[1868].start |
11137.26096875 |
transcript.pyannote[1868].end |
11137.93596875 |
transcript.pyannote[1869].speaker |
SPEAKER_21 |
transcript.pyannote[1869].start |
11138.40846875 |
transcript.pyannote[1869].end |
11146.82909375 |
transcript.pyannote[1870].speaker |
SPEAKER_21 |
transcript.pyannote[1870].start |
11147.67284375 |
transcript.pyannote[1870].end |
11149.30971875 |
transcript.pyannote[1871].speaker |
SPEAKER_07 |
transcript.pyannote[1871].start |
11150.33909375 |
transcript.pyannote[1871].end |
11151.40221875 |
transcript.pyannote[1872].speaker |
SPEAKER_07 |
transcript.pyannote[1872].start |
11151.57096875 |
transcript.pyannote[1872].end |
11163.92346875 |
transcript.pyannote[1873].speaker |
SPEAKER_22 |
transcript.pyannote[1873].start |
11160.70034375 |
transcript.pyannote[1873].end |
11160.93659375 |
transcript.pyannote[1874].speaker |
SPEAKER_22 |
transcript.pyannote[1874].start |
11162.42159375 |
transcript.pyannote[1874].end |
11162.89409375 |
transcript.pyannote[1875].speaker |
SPEAKER_22 |
transcript.pyannote[1875].start |
11163.82221875 |
transcript.pyannote[1875].end |
11164.17659375 |
transcript.pyannote[1876].speaker |
SPEAKER_07 |
transcript.pyannote[1876].start |
11163.99096875 |
transcript.pyannote[1876].end |
11200.25534375 |
transcript.pyannote[1877].speaker |
SPEAKER_22 |
transcript.pyannote[1877].start |
11184.00471875 |
transcript.pyannote[1877].end |
11184.30846875 |
transcript.pyannote[1878].speaker |
SPEAKER_22 |
transcript.pyannote[1878].start |
11186.95784375 |
transcript.pyannote[1878].end |
11187.04221875 |
transcript.pyannote[1879].speaker |
SPEAKER_22 |
transcript.pyannote[1879].start |
11191.24409375 |
transcript.pyannote[1879].end |
11191.46346875 |
transcript.pyannote[1880].speaker |
SPEAKER_22 |
transcript.pyannote[1880].start |
11193.48846875 |
transcript.pyannote[1880].end |
11193.50534375 |
transcript.pyannote[1881].speaker |
SPEAKER_00 |
transcript.pyannote[1881].start |
11193.50534375 |
transcript.pyannote[1881].end |
11193.79221875 |
transcript.pyannote[1882].speaker |
SPEAKER_22 |
transcript.pyannote[1882].start |
11193.79221875 |
transcript.pyannote[1882].end |
11193.80909375 |
transcript.pyannote[1883].speaker |
SPEAKER_00 |
transcript.pyannote[1883].start |
11193.80909375 |
transcript.pyannote[1883].end |
11193.84284375 |
transcript.pyannote[1884].speaker |
SPEAKER_00 |
transcript.pyannote[1884].start |
11194.29846875 |
transcript.pyannote[1884].end |
11194.72034375 |
transcript.pyannote[1885].speaker |
SPEAKER_22 |
transcript.pyannote[1885].start |
11194.72034375 |
transcript.pyannote[1885].end |
11194.73721875 |
transcript.pyannote[1886].speaker |
SPEAKER_00 |
transcript.pyannote[1886].start |
11194.73721875 |
transcript.pyannote[1886].end |
11194.75409375 |
transcript.pyannote[1887].speaker |
SPEAKER_00 |
transcript.pyannote[1887].start |
11195.51346875 |
transcript.pyannote[1887].end |
11195.96909375 |
transcript.pyannote[1888].speaker |
SPEAKER_11 |
transcript.pyannote[1888].start |
11200.72784375 |
transcript.pyannote[1888].end |
11202.41534375 |
transcript.pyannote[1889].speaker |
SPEAKER_00 |
transcript.pyannote[1889].start |
11201.26784375 |
transcript.pyannote[1889].end |
11201.31846875 |
transcript.pyannote[1890].speaker |
SPEAKER_07 |
transcript.pyannote[1890].start |
11201.31846875 |
transcript.pyannote[1890].end |
11202.17909375 |
transcript.pyannote[1891].speaker |
SPEAKER_11 |
transcript.pyannote[1891].start |
11203.12409375 |
transcript.pyannote[1891].end |
11206.34721875 |
transcript.pyannote[1892].speaker |
SPEAKER_11 |
transcript.pyannote[1892].start |
11206.87034375 |
transcript.pyannote[1892].end |
11244.48471875 |
transcript.pyannote[1893].speaker |
SPEAKER_21 |
transcript.pyannote[1893].start |
11213.13096875 |
transcript.pyannote[1893].end |
11213.55284375 |
transcript.pyannote[1894].speaker |
SPEAKER_21 |
transcript.pyannote[1894].start |
11215.52721875 |
transcript.pyannote[1894].end |
11215.96596875 |
transcript.pyannote[1895].speaker |
SPEAKER_21 |
transcript.pyannote[1895].start |
11220.80909375 |
transcript.pyannote[1895].end |
11221.18034375 |
transcript.pyannote[1896].speaker |
SPEAKER_00 |
transcript.pyannote[1896].start |
11221.18034375 |
transcript.pyannote[1896].end |
11221.21409375 |
transcript.pyannote[1897].speaker |
SPEAKER_21 |
transcript.pyannote[1897].start |
11224.15034375 |
transcript.pyannote[1897].end |
11224.60596875 |
transcript.pyannote[1898].speaker |
SPEAKER_21 |
transcript.pyannote[1898].start |
11225.85471875 |
transcript.pyannote[1898].end |
11226.02346875 |
transcript.pyannote[1899].speaker |
SPEAKER_21 |
transcript.pyannote[1899].start |
11243.79284375 |
transcript.pyannote[1899].end |
11251.03221875 |
transcript.pyannote[1900].speaker |
SPEAKER_11 |
transcript.pyannote[1900].start |
11248.11284375 |
transcript.pyannote[1900].end |
11248.14659375 |
transcript.pyannote[1901].speaker |
SPEAKER_05 |
transcript.pyannote[1901].start |
11248.18034375 |
transcript.pyannote[1901].end |
11248.26471875 |
transcript.pyannote[1902].speaker |
SPEAKER_22 |
transcript.pyannote[1902].start |
11248.26471875 |
transcript.pyannote[1902].end |
11248.38284375 |
transcript.pyannote[1903].speaker |
SPEAKER_11 |
transcript.pyannote[1903].start |
11248.38284375 |
transcript.pyannote[1903].end |
11248.41659375 |
transcript.pyannote[1904].speaker |
SPEAKER_22 |
transcript.pyannote[1904].start |
11248.41659375 |
transcript.pyannote[1904].end |
11249.20971875 |
transcript.pyannote[1905].speaker |
SPEAKER_05 |
transcript.pyannote[1905].start |
11251.03221875 |
transcript.pyannote[1905].end |
11252.21346875 |
transcript.pyannote[1906].speaker |
SPEAKER_21 |
transcript.pyannote[1906].start |
11251.69034375 |
transcript.pyannote[1906].end |
11251.77471875 |
transcript.pyannote[1907].speaker |
SPEAKER_22 |
transcript.pyannote[1907].start |
11251.77471875 |
transcript.pyannote[1907].end |
11252.98971875 |
transcript.pyannote[1908].speaker |
SPEAKER_07 |
transcript.pyannote[1908].start |
11252.92221875 |
transcript.pyannote[1908].end |
11252.93909375 |
transcript.pyannote[1909].speaker |
SPEAKER_05 |
transcript.pyannote[1909].start |
11252.93909375 |
transcript.pyannote[1909].end |
11258.99721875 |
transcript.pyannote[1910].speaker |
SPEAKER_21 |
transcript.pyannote[1910].start |
11252.98971875 |
transcript.pyannote[1910].end |
11253.00659375 |
transcript.pyannote[1911].speaker |
SPEAKER_32 |
transcript.pyannote[1911].start |
11267.23221875 |
transcript.pyannote[1911].end |
11271.26534375 |
transcript.pyannote[1912].speaker |
SPEAKER_32 |
transcript.pyannote[1912].start |
11271.83909375 |
transcript.pyannote[1912].end |
11272.64909375 |
transcript.pyannote[1913].speaker |
SPEAKER_32 |
transcript.pyannote[1913].start |
11274.65721875 |
transcript.pyannote[1913].end |
11274.67409375 |
transcript.pyannote[1914].speaker |
SPEAKER_05 |
transcript.pyannote[1914].start |
11274.67409375 |
transcript.pyannote[1914].end |
11275.46721875 |
transcript.pyannote[1915].speaker |
SPEAKER_05 |
transcript.pyannote[1915].start |
11275.60221875 |
transcript.pyannote[1915].end |
11275.61909375 |
transcript.pyannote[1916].speaker |
SPEAKER_32 |
transcript.pyannote[1916].start |
11275.61909375 |
transcript.pyannote[1916].end |
11275.63596875 |
transcript.pyannote[1917].speaker |
SPEAKER_05 |
transcript.pyannote[1917].start |
11275.63596875 |
transcript.pyannote[1917].end |
11276.86784375 |
transcript.pyannote[1918].speaker |
SPEAKER_05 |
transcript.pyannote[1918].start |
11277.45846875 |
transcript.pyannote[1918].end |
11278.35284375 |
transcript.pyannote[1919].speaker |
SPEAKER_05 |
transcript.pyannote[1919].start |
11278.74096875 |
transcript.pyannote[1919].end |
11279.51721875 |
transcript.pyannote[1920].speaker |
SPEAKER_05 |
transcript.pyannote[1920].start |
11282.80784375 |
transcript.pyannote[1920].end |
11282.85846875 |
transcript.pyannote[1921].speaker |
SPEAKER_32 |
transcript.pyannote[1921].start |
11282.85846875 |
transcript.pyannote[1921].end |
11283.28034375 |
transcript.pyannote[1922].speaker |
SPEAKER_32 |
transcript.pyannote[1922].start |
11283.85409375 |
transcript.pyannote[1922].end |
11286.52034375 |
transcript.pyannote[1923].speaker |
SPEAKER_32 |
transcript.pyannote[1923].start |
11286.79034375 |
transcript.pyannote[1923].end |
11286.85784375 |
transcript.pyannote[1924].speaker |
SPEAKER_22 |
transcript.pyannote[1924].start |
11286.85784375 |
transcript.pyannote[1924].end |
11286.90846875 |
transcript.pyannote[1925].speaker |
SPEAKER_32 |
transcript.pyannote[1925].start |
11286.90846875 |
transcript.pyannote[1925].end |
11286.97596875 |
transcript.pyannote[1926].speaker |
SPEAKER_22 |
transcript.pyannote[1926].start |
11286.97596875 |
transcript.pyannote[1926].end |
11287.02659375 |
transcript.pyannote[1927].speaker |
SPEAKER_32 |
transcript.pyannote[1927].start |
11287.02659375 |
transcript.pyannote[1927].end |
11287.80284375 |
transcript.pyannote[1928].speaker |
SPEAKER_32 |
transcript.pyannote[1928].start |
11289.54096875 |
transcript.pyannote[1928].end |
11290.85721875 |
transcript.pyannote[1929].speaker |
SPEAKER_32 |
transcript.pyannote[1929].start |
11290.89096875 |
transcript.pyannote[1929].end |
11295.04221875 |
transcript.pyannote[1930].speaker |
SPEAKER_32 |
transcript.pyannote[1930].start |
11295.61596875 |
transcript.pyannote[1930].end |
11297.74221875 |
transcript.pyannote[1931].speaker |
SPEAKER_32 |
transcript.pyannote[1931].start |
11297.89409375 |
transcript.pyannote[1931].end |
11298.77159375 |
transcript.pyannote[1932].speaker |
SPEAKER_22 |
transcript.pyannote[1932].start |
11300.17221875 |
transcript.pyannote[1932].end |
11300.18909375 |
transcript.pyannote[1933].speaker |
SPEAKER_32 |
transcript.pyannote[1933].start |
11300.18909375 |
transcript.pyannote[1933].end |
11301.38721875 |
transcript.pyannote[1934].speaker |
SPEAKER_32 |
transcript.pyannote[1934].start |
11302.51784375 |
transcript.pyannote[1934].end |
11303.58096875 |
transcript.pyannote[1935].speaker |
SPEAKER_32 |
transcript.pyannote[1935].start |
11304.10409375 |
transcript.pyannote[1935].end |
11311.66409375 |
transcript.pyannote[1936].speaker |
SPEAKER_32 |
transcript.pyannote[1936].start |
11312.15346875 |
transcript.pyannote[1936].end |
11313.23346875 |
transcript.pyannote[1937].speaker |
SPEAKER_16 |
transcript.pyannote[1937].start |
11314.56659375 |
transcript.pyannote[1937].end |
11318.51534375 |
transcript.pyannote[1938].speaker |
SPEAKER_32 |
transcript.pyannote[1938].start |
11318.41409375 |
transcript.pyannote[1938].end |
11323.59471875 |
transcript.pyannote[1939].speaker |
SPEAKER_16 |
transcript.pyannote[1939].start |
11324.42159375 |
transcript.pyannote[1939].end |
11324.43846875 |
transcript.pyannote[1940].speaker |
SPEAKER_07 |
transcript.pyannote[1940].start |
11324.43846875 |
transcript.pyannote[1940].end |
11324.72534375 |
transcript.pyannote[1941].speaker |
SPEAKER_32 |
transcript.pyannote[1941].start |
11324.99534375 |
transcript.pyannote[1941].end |
11328.06659375 |
transcript.pyannote[1942].speaker |
SPEAKER_32 |
transcript.pyannote[1942].start |
11328.62346875 |
transcript.pyannote[1942].end |
11331.82971875 |
transcript.pyannote[1943].speaker |
SPEAKER_32 |
transcript.pyannote[1943].start |
11332.43721875 |
transcript.pyannote[1943].end |
11333.34846875 |
transcript.pyannote[1944].speaker |
SPEAKER_32 |
transcript.pyannote[1944].start |
11333.39909375 |
transcript.pyannote[1944].end |
11335.91346875 |
transcript.pyannote[1945].speaker |
SPEAKER_16 |
transcript.pyannote[1945].start |
11336.11596875 |
transcript.pyannote[1945].end |
11337.65159375 |
transcript.pyannote[1946].speaker |
SPEAKER_32 |
transcript.pyannote[1946].start |
11337.71909375 |
transcript.pyannote[1946].end |
11338.10721875 |
transcript.pyannote[1947].speaker |
SPEAKER_32 |
transcript.pyannote[1947].start |
11338.46159375 |
transcript.pyannote[1947].end |
11353.98659375 |
transcript.pyannote[1948].speaker |
SPEAKER_32 |
transcript.pyannote[1948].start |
11354.54346875 |
transcript.pyannote[1948].end |
11356.66971875 |
transcript.pyannote[1949].speaker |
SPEAKER_32 |
transcript.pyannote[1949].start |
11358.13784375 |
transcript.pyannote[1949].end |
11365.90034375 |
transcript.pyannote[1950].speaker |
SPEAKER_32 |
transcript.pyannote[1950].start |
11366.38971875 |
transcript.pyannote[1950].end |
11373.24096875 |
transcript.pyannote[1951].speaker |
SPEAKER_32 |
transcript.pyannote[1951].start |
11374.08471875 |
transcript.pyannote[1951].end |
11378.97846875 |
transcript.pyannote[1952].speaker |
SPEAKER_32 |
transcript.pyannote[1952].start |
11379.43409375 |
transcript.pyannote[1952].end |
11381.22284375 |
transcript.pyannote[1953].speaker |
SPEAKER_32 |
transcript.pyannote[1953].start |
11381.84721875 |
transcript.pyannote[1953].end |
11385.40784375 |
transcript.pyannote[1954].speaker |
SPEAKER_16 |
transcript.pyannote[1954].start |
11386.89284375 |
transcript.pyannote[1954].end |
11389.03596875 |
transcript.pyannote[1955].speaker |
SPEAKER_32 |
transcript.pyannote[1955].start |
11388.91784375 |
transcript.pyannote[1955].end |
11394.04784375 |
transcript.pyannote[1956].speaker |
SPEAKER_16 |
transcript.pyannote[1956].start |
11390.11596875 |
transcript.pyannote[1956].end |
11390.72346875 |
transcript.pyannote[1957].speaker |
SPEAKER_32 |
transcript.pyannote[1957].start |
11395.14471875 |
transcript.pyannote[1957].end |
11399.90346875 |
transcript.pyannote[1958].speaker |
SPEAKER_32 |
transcript.pyannote[1958].start |
11400.07221875 |
transcript.pyannote[1958].end |
11402.89034375 |
transcript.pyannote[1959].speaker |
SPEAKER_16 |
transcript.pyannote[1959].start |
11402.89034375 |
transcript.pyannote[1959].end |
11403.29534375 |
transcript.pyannote[1960].speaker |
SPEAKER_32 |
transcript.pyannote[1960].start |
11403.53159375 |
transcript.pyannote[1960].end |
11408.23971875 |
transcript.pyannote[1961].speaker |
SPEAKER_32 |
transcript.pyannote[1961].start |
11408.52659375 |
transcript.pyannote[1961].end |
11410.19721875 |
transcript.pyannote[1962].speaker |
SPEAKER_32 |
transcript.pyannote[1962].start |
11410.77096875 |
transcript.pyannote[1962].end |
11411.37846875 |
transcript.pyannote[1963].speaker |
SPEAKER_32 |
transcript.pyannote[1963].start |
11412.27284375 |
transcript.pyannote[1963].end |
11413.26846875 |
transcript.pyannote[1964].speaker |
SPEAKER_10 |
transcript.pyannote[1964].start |
11413.26846875 |
transcript.pyannote[1964].end |
11413.80846875 |
transcript.pyannote[1965].speaker |
SPEAKER_32 |
transcript.pyannote[1965].start |
11413.80846875 |
transcript.pyannote[1965].end |
11413.92659375 |
transcript.pyannote[1966].speaker |
SPEAKER_10 |
transcript.pyannote[1966].start |
11413.92659375 |
transcript.pyannote[1966].end |
11413.97721875 |
transcript.pyannote[1967].speaker |
SPEAKER_32 |
transcript.pyannote[1967].start |
11413.97721875 |
transcript.pyannote[1967].end |
11413.99409375 |
transcript.pyannote[1968].speaker |
SPEAKER_32 |
transcript.pyannote[1968].start |
11414.48346875 |
transcript.pyannote[1968].end |
11418.63471875 |
transcript.pyannote[1969].speaker |
SPEAKER_32 |
transcript.pyannote[1969].start |
11418.73596875 |
transcript.pyannote[1969].end |
11422.16159375 |
transcript.pyannote[1970].speaker |
SPEAKER_32 |
transcript.pyannote[1970].start |
11422.51596875 |
transcript.pyannote[1970].end |
11425.89096875 |
transcript.pyannote[1971].speaker |
SPEAKER_32 |
transcript.pyannote[1971].start |
11426.49846875 |
transcript.pyannote[1971].end |
11434.58159375 |
transcript.pyannote[1972].speaker |
SPEAKER_32 |
transcript.pyannote[1972].start |
11435.84721875 |
transcript.pyannote[1972].end |
11436.87659375 |
transcript.pyannote[1973].speaker |
SPEAKER_32 |
transcript.pyannote[1973].start |
11437.66971875 |
transcript.pyannote[1973].end |
11447.96346875 |
transcript.pyannote[1974].speaker |
SPEAKER_00 |
transcript.pyannote[1974].start |
11441.77034375 |
transcript.pyannote[1974].end |
11442.29346875 |
transcript.pyannote[1975].speaker |
SPEAKER_32 |
transcript.pyannote[1975].start |
11448.75659375 |
transcript.pyannote[1975].end |
11450.24159375 |
transcript.pyannote[1976].speaker |
SPEAKER_32 |
transcript.pyannote[1976].start |
11450.49471875 |
transcript.pyannote[1976].end |
11452.60409375 |
transcript.pyannote[1977].speaker |
SPEAKER_32 |
transcript.pyannote[1977].start |
11453.04284375 |
transcript.pyannote[1977].end |
11457.17721875 |
transcript.pyannote[1978].speaker |
SPEAKER_16 |
transcript.pyannote[1978].start |
11458.96596875 |
transcript.pyannote[1978].end |
11478.00096875 |
transcript.pyannote[1979].speaker |
SPEAKER_32 |
transcript.pyannote[1979].start |
11477.81534375 |
transcript.pyannote[1979].end |
11482.62471875 |
transcript.pyannote[1980].speaker |
SPEAKER_32 |
transcript.pyannote[1980].start |
11483.11409375 |
transcript.pyannote[1980].end |
11483.55284375 |
transcript.pyannote[1981].speaker |
SPEAKER_32 |
transcript.pyannote[1981].start |
11484.56534375 |
transcript.pyannote[1981].end |
11487.41721875 |
transcript.pyannote[1982].speaker |
SPEAKER_32 |
transcript.pyannote[1982].start |
11487.85596875 |
transcript.pyannote[1982].end |
11489.35784375 |
transcript.pyannote[1983].speaker |
SPEAKER_32 |
transcript.pyannote[1983].start |
11489.76284375 |
transcript.pyannote[1983].end |
11490.62346875 |
transcript.pyannote[1984].speaker |
SPEAKER_32 |
transcript.pyannote[1984].start |
11490.80909375 |
transcript.pyannote[1984].end |
11493.54284375 |
transcript.pyannote[1985].speaker |
SPEAKER_16 |
transcript.pyannote[1985].start |
11493.76221875 |
transcript.pyannote[1985].end |
11497.62659375 |
transcript.pyannote[1986].speaker |
SPEAKER_32 |
transcript.pyannote[1986].start |
11497.86284375 |
transcript.pyannote[1986].end |
11500.29284375 |
transcript.pyannote[1987].speaker |
SPEAKER_16 |
transcript.pyannote[1987].start |
11500.29284375 |
transcript.pyannote[1987].end |
11502.16596875 |
transcript.pyannote[1988].speaker |
SPEAKER_32 |
transcript.pyannote[1988].start |
11501.99721875 |
transcript.pyannote[1988].end |
11507.86971875 |
transcript.pyannote[1989].speaker |
SPEAKER_16 |
transcript.pyannote[1989].start |
11506.24971875 |
transcript.pyannote[1989].end |
11506.80659375 |
transcript.pyannote[1990].speaker |
SPEAKER_16 |
transcript.pyannote[1990].start |
11506.84034375 |
transcript.pyannote[1990].end |
11507.65034375 |
transcript.pyannote[1991].speaker |
SPEAKER_32 |
transcript.pyannote[1991].start |
11508.17346875 |
transcript.pyannote[1991].end |
11523.73221875 |
transcript.pyannote[1992].speaker |
SPEAKER_07 |
transcript.pyannote[1992].start |
11513.42159375 |
transcript.pyannote[1992].end |
11513.77596875 |
transcript.pyannote[1993].speaker |
SPEAKER_32 |
transcript.pyannote[1993].start |
11523.76596875 |
transcript.pyannote[1993].end |
11534.81909375 |
transcript.pyannote[1994].speaker |
SPEAKER_32 |
transcript.pyannote[1994].start |
11535.13971875 |
transcript.pyannote[1994].end |
11537.58659375 |
transcript.pyannote[1995].speaker |
SPEAKER_32 |
transcript.pyannote[1995].start |
11538.07596875 |
transcript.pyannote[1995].end |
11540.74221875 |
transcript.pyannote[1996].speaker |
SPEAKER_32 |
transcript.pyannote[1996].start |
11541.77159375 |
transcript.pyannote[1996].end |
11544.11721875 |
transcript.pyannote[1997].speaker |
SPEAKER_32 |
transcript.pyannote[1997].start |
11544.74159375 |
transcript.pyannote[1997].end |
11546.29409375 |
transcript.pyannote[1998].speaker |
SPEAKER_32 |
transcript.pyannote[1998].start |
11546.63159375 |
transcript.pyannote[1998].end |
11552.38596875 |
transcript.pyannote[1999].speaker |
SPEAKER_32 |
transcript.pyannote[1999].start |
11553.24659375 |
transcript.pyannote[1999].end |
11555.74409375 |
transcript.pyannote[2000].speaker |
SPEAKER_32 |
transcript.pyannote[2000].start |
11556.23346875 |
transcript.pyannote[2000].end |
11557.04346875 |
transcript.pyannote[2001].speaker |
SPEAKER_32 |
transcript.pyannote[2001].start |
11557.29659375 |
transcript.pyannote[2001].end |
11558.79846875 |
transcript.pyannote[2002].speaker |
SPEAKER_32 |
transcript.pyannote[2002].start |
11559.30471875 |
transcript.pyannote[2002].end |
11561.43096875 |
transcript.pyannote[2003].speaker |
SPEAKER_32 |
transcript.pyannote[2003].start |
11561.78534375 |
transcript.pyannote[2003].end |
11562.74721875 |
transcript.pyannote[2004].speaker |
SPEAKER_32 |
transcript.pyannote[2004].start |
11563.48971875 |
transcript.pyannote[2004].end |
11567.35409375 |
transcript.pyannote[2005].speaker |
SPEAKER_32 |
transcript.pyannote[2005].start |
11568.33284375 |
transcript.pyannote[2005].end |
11568.65346875 |
transcript.pyannote[2006].speaker |
SPEAKER_32 |
transcript.pyannote[2006].start |
11568.88971875 |
transcript.pyannote[2006].end |
11574.84659375 |
transcript.pyannote[2007].speaker |
SPEAKER_32 |
transcript.pyannote[2007].start |
11575.08284375 |
transcript.pyannote[2007].end |
11579.26784375 |
transcript.pyannote[2008].speaker |
SPEAKER_16 |
transcript.pyannote[2008].start |
11581.20846875 |
transcript.pyannote[2008].end |
11591.09721875 |
transcript.pyannote[2009].speaker |
SPEAKER_32 |
transcript.pyannote[2009].start |
11585.81534375 |
transcript.pyannote[2009].end |
11586.32159375 |
transcript.pyannote[2010].speaker |
SPEAKER_32 |
transcript.pyannote[2010].start |
11591.43471875 |
transcript.pyannote[2010].end |
11595.95721875 |
transcript.pyannote[2011].speaker |
SPEAKER_32 |
transcript.pyannote[2011].start |
11596.31159375 |
transcript.pyannote[2011].end |
11599.66971875 |
transcript.pyannote[2012].speaker |
SPEAKER_32 |
transcript.pyannote[2012].start |
11599.97346875 |
transcript.pyannote[2012].end |
11603.38221875 |
transcript.pyannote[2013].speaker |
SPEAKER_32 |
transcript.pyannote[2013].start |
11604.20909375 |
transcript.pyannote[2013].end |
11605.74471875 |
transcript.pyannote[2014].speaker |
SPEAKER_32 |
transcript.pyannote[2014].start |
11606.14971875 |
transcript.pyannote[2014].end |
11609.50784375 |
transcript.pyannote[2015].speaker |
SPEAKER_16 |
transcript.pyannote[2015].start |
11609.96346875 |
transcript.pyannote[2015].end |
11612.03909375 |
transcript.pyannote[2016].speaker |
SPEAKER_32 |
transcript.pyannote[2016].start |
11611.46534375 |
transcript.pyannote[2016].end |
11612.79846875 |
transcript.pyannote[2017].speaker |
SPEAKER_19 |
transcript.pyannote[2017].start |
11612.03909375 |
transcript.pyannote[2017].end |
11612.57909375 |
transcript.pyannote[2018].speaker |
SPEAKER_16 |
transcript.pyannote[2018].start |
11612.57909375 |
transcript.pyannote[2018].end |
11612.61284375 |
transcript.pyannote[2019].speaker |
SPEAKER_19 |
transcript.pyannote[2019].start |
11613.65909375 |
transcript.pyannote[2019].end |
11613.72659375 |
transcript.pyannote[2020].speaker |
SPEAKER_32 |
transcript.pyannote[2020].start |
11613.72659375 |
transcript.pyannote[2020].end |
11613.81096875 |
transcript.pyannote[2021].speaker |
SPEAKER_19 |
transcript.pyannote[2021].start |
11613.81096875 |
transcript.pyannote[2021].end |
11617.52346875 |
transcript.pyannote[2022].speaker |
SPEAKER_19 |
transcript.pyannote[2022].start |
11618.11409375 |
transcript.pyannote[2022].end |
11641.03034375 |
transcript.pyannote[2023].speaker |
SPEAKER_00 |
transcript.pyannote[2023].start |
11623.54784375 |
transcript.pyannote[2023].end |
11623.85159375 |
transcript.pyannote[2024].speaker |
SPEAKER_22 |
transcript.pyannote[2024].start |
11625.04971875 |
transcript.pyannote[2024].end |
11625.97784375 |
transcript.pyannote[2025].speaker |
SPEAKER_22 |
transcript.pyannote[2025].start |
11641.21596875 |
transcript.pyannote[2025].end |
11641.31721875 |
transcript.pyannote[2026].speaker |
SPEAKER_19 |
transcript.pyannote[2026].start |
11641.31721875 |
transcript.pyannote[2026].end |
11649.36659375 |
transcript.pyannote[2027].speaker |
SPEAKER_32 |
transcript.pyannote[2027].start |
11646.41346875 |
transcript.pyannote[2027].end |
11650.49721875 |
transcript.pyannote[2028].speaker |
SPEAKER_19 |
transcript.pyannote[2028].start |
11650.73346875 |
transcript.pyannote[2028].end |
11650.98659375 |
transcript.pyannote[2029].speaker |
SPEAKER_32 |
transcript.pyannote[2029].start |
11650.98659375 |
transcript.pyannote[2029].end |
11651.00346875 |
transcript.pyannote[2030].speaker |
SPEAKER_32 |
transcript.pyannote[2030].start |
11652.28596875 |
transcript.pyannote[2030].end |
11657.16284375 |
transcript.pyannote[2031].speaker |
SPEAKER_32 |
transcript.pyannote[2031].start |
11657.87159375 |
transcript.pyannote[2031].end |
11660.55471875 |
transcript.pyannote[2032].speaker |
SPEAKER_10 |
transcript.pyannote[2032].start |
11662.24221875 |
transcript.pyannote[2032].end |
11667.86159375 |
transcript.pyannote[2033].speaker |
SPEAKER_10 |
transcript.pyannote[2033].start |
11668.06409375 |
transcript.pyannote[2033].end |
11669.76846875 |
transcript.pyannote[2034].speaker |
SPEAKER_10 |
transcript.pyannote[2034].start |
11670.10596875 |
transcript.pyannote[2034].end |
11672.11409375 |
transcript.pyannote[2035].speaker |
SPEAKER_32 |
transcript.pyannote[2035].start |
11672.09721875 |
transcript.pyannote[2035].end |
11678.27346875 |
transcript.pyannote[2036].speaker |
SPEAKER_32 |
transcript.pyannote[2036].start |
11679.79221875 |
transcript.pyannote[2036].end |
11689.84971875 |
transcript.pyannote[2037].speaker |
SPEAKER_32 |
transcript.pyannote[2037].start |
11690.65971875 |
transcript.pyannote[2037].end |
11692.80284375 |
transcript.pyannote[2038].speaker |
SPEAKER_32 |
transcript.pyannote[2038].start |
11693.83221875 |
transcript.pyannote[2038].end |
11698.13534375 |
transcript.pyannote[2039].speaker |
SPEAKER_32 |
transcript.pyannote[2039].start |
11698.50659375 |
transcript.pyannote[2039].end |
11704.42971875 |
transcript.pyannote[2040].speaker |
SPEAKER_32 |
transcript.pyannote[2040].start |
11704.66596875 |
transcript.pyannote[2040].end |
11708.64846875 |
transcript.pyannote[2041].speaker |
SPEAKER_32 |
transcript.pyannote[2041].start |
11708.80034375 |
transcript.pyannote[2041].end |
11712.19221875 |
transcript.pyannote[2042].speaker |
SPEAKER_32 |
transcript.pyannote[2042].start |
11712.37784375 |
transcript.pyannote[2042].end |
11714.77409375 |
transcript.pyannote[2043].speaker |
SPEAKER_32 |
transcript.pyannote[2043].start |
11715.38159375 |
transcript.pyannote[2043].end |
11717.03534375 |
transcript.pyannote[2044].speaker |
SPEAKER_07 |
transcript.pyannote[2044].start |
11717.03534375 |
transcript.pyannote[2044].end |
11749.97534375 |
transcript.pyannote[2045].speaker |
SPEAKER_32 |
transcript.pyannote[2045].start |
11717.81159375 |
transcript.pyannote[2045].end |
11717.96346875 |
transcript.pyannote[2046].speaker |
SPEAKER_32 |
transcript.pyannote[2046].start |
11749.97534375 |
transcript.pyannote[2046].end |
11753.87346875 |
transcript.pyannote[2047].speaker |
SPEAKER_22 |
transcript.pyannote[2047].start |
11753.77221875 |
transcript.pyannote[2047].end |
11754.07596875 |
transcript.pyannote[2048].speaker |
SPEAKER_32 |
transcript.pyannote[2048].start |
11753.90721875 |
transcript.pyannote[2048].end |
11755.96596875 |
transcript.pyannote[2049].speaker |
SPEAKER_22 |
transcript.pyannote[2049].start |
11755.96596875 |
transcript.pyannote[2049].end |
11755.98284375 |
transcript.pyannote[2050].speaker |
SPEAKER_32 |
transcript.pyannote[2050].start |
11755.98284375 |
transcript.pyannote[2050].end |
11763.61034375 |
transcript.pyannote[2051].speaker |
SPEAKER_22 |
transcript.pyannote[2051].start |
11756.16846875 |
transcript.pyannote[2051].end |
11756.52284375 |
transcript.pyannote[2052].speaker |
SPEAKER_22 |
transcript.pyannote[2052].start |
11758.54784375 |
transcript.pyannote[2052].end |
11759.03721875 |
transcript.pyannote[2053].speaker |
SPEAKER_07 |
transcript.pyannote[2053].start |
11759.03721875 |
transcript.pyannote[2053].end |
11759.96534375 |
transcript.pyannote[2054].speaker |
SPEAKER_22 |
transcript.pyannote[2054].start |
11759.96534375 |
transcript.pyannote[2054].end |
11761.38284375 |
transcript.pyannote[2055].speaker |
SPEAKER_22 |
transcript.pyannote[2055].start |
11762.26034375 |
transcript.pyannote[2055].end |
11763.66096875 |
transcript.pyannote[2056].speaker |
SPEAKER_32 |
transcript.pyannote[2056].start |
11764.06596875 |
transcript.pyannote[2056].end |
11764.33596875 |
transcript.pyannote[2057].speaker |
SPEAKER_32 |
transcript.pyannote[2057].start |
11765.24721875 |
transcript.pyannote[2057].end |
11769.92159375 |
transcript.pyannote[2058].speaker |
SPEAKER_32 |
transcript.pyannote[2058].start |
11770.61346875 |
transcript.pyannote[2058].end |
11775.52409375 |
transcript.pyannote[2059].speaker |
SPEAKER_32 |
transcript.pyannote[2059].start |
11776.18221875 |
transcript.pyannote[2059].end |
11777.76846875 |
transcript.pyannote[2060].speaker |
SPEAKER_16 |
transcript.pyannote[2060].start |
11777.76846875 |
transcript.pyannote[2060].end |
11782.10534375 |
transcript.pyannote[2061].speaker |
SPEAKER_32 |
transcript.pyannote[2061].start |
11779.62471875 |
transcript.pyannote[2061].end |
11789.85096875 |
transcript.pyannote[2062].speaker |
SPEAKER_16 |
transcript.pyannote[2062].start |
11785.71659375 |
transcript.pyannote[2062].end |
11785.96971875 |
transcript.pyannote[2063].speaker |
SPEAKER_00 |
transcript.pyannote[2063].start |
11785.96971875 |
transcript.pyannote[2063].end |
11786.00346875 |
transcript.pyannote[2064].speaker |
SPEAKER_32 |
transcript.pyannote[2064].start |
11790.45846875 |
transcript.pyannote[2064].end |
11800.00971875 |
transcript.pyannote[2065].speaker |
SPEAKER_32 |
transcript.pyannote[2065].start |
11800.44846875 |
transcript.pyannote[2065].end |
11804.46471875 |
transcript.pyannote[2066].speaker |
SPEAKER_22 |
transcript.pyannote[2066].start |
11800.53284375 |
transcript.pyannote[2066].end |
11800.85346875 |
transcript.pyannote[2067].speaker |
SPEAKER_22 |
transcript.pyannote[2067].start |
11801.29221875 |
transcript.pyannote[2067].end |
11801.71409375 |
transcript.pyannote[2068].speaker |
SPEAKER_22 |
transcript.pyannote[2068].start |
11803.65471875 |
transcript.pyannote[2068].end |
11803.92471875 |
transcript.pyannote[2069].speaker |
SPEAKER_32 |
transcript.pyannote[2069].start |
11805.03846875 |
transcript.pyannote[2069].end |
11813.29034375 |
transcript.pyannote[2070].speaker |
SPEAKER_32 |
transcript.pyannote[2070].start |
11813.77971875 |
transcript.pyannote[2070].end |
11817.61034375 |
transcript.pyannote[2071].speaker |
SPEAKER_20 |
transcript.pyannote[2071].start |
11813.88096875 |
transcript.pyannote[2071].end |
11814.15096875 |
transcript.pyannote[2072].speaker |
SPEAKER_20 |
transcript.pyannote[2072].start |
11816.53034375 |
transcript.pyannote[2072].end |
11816.90159375 |
transcript.pyannote[2073].speaker |
SPEAKER_03 |
transcript.pyannote[2073].start |
11816.90159375 |
transcript.pyannote[2073].end |
11816.91846875 |
transcript.pyannote[2074].speaker |
SPEAKER_32 |
transcript.pyannote[2074].start |
11818.01534375 |
transcript.pyannote[2074].end |
11819.38221875 |
transcript.pyannote[2075].speaker |
SPEAKER_32 |
transcript.pyannote[2075].start |
11819.98971875 |
transcript.pyannote[2075].end |
11821.59284375 |
transcript.pyannote[2076].speaker |
SPEAKER_32 |
transcript.pyannote[2076].start |
11821.93034375 |
transcript.pyannote[2076].end |
11827.22909375 |
transcript.pyannote[2077].speaker |
SPEAKER_32 |
transcript.pyannote[2077].start |
11827.81971875 |
transcript.pyannote[2077].end |
11829.67596875 |
transcript.pyannote[2078].speaker |
SPEAKER_16 |
transcript.pyannote[2078].start |
11830.31721875 |
transcript.pyannote[2078].end |
11834.58659375 |
transcript.pyannote[2079].speaker |
SPEAKER_16 |
transcript.pyannote[2079].start |
11834.68784375 |
transcript.pyannote[2079].end |
11842.80471875 |
transcript.pyannote[2080].speaker |
SPEAKER_32 |
transcript.pyannote[2080].start |
11842.90596875 |
transcript.pyannote[2080].end |
11843.49659375 |
transcript.pyannote[2081].speaker |
SPEAKER_32 |
transcript.pyannote[2081].start |
11843.58096875 |
transcript.pyannote[2081].end |
11847.17534375 |
transcript.pyannote[2082].speaker |
SPEAKER_32 |
transcript.pyannote[2082].start |
11847.83346875 |
transcript.pyannote[2082].end |
11852.10284375 |
transcript.pyannote[2083].speaker |
SPEAKER_32 |
transcript.pyannote[2083].start |
11852.42346875 |
transcript.pyannote[2083].end |
11854.09409375 |
transcript.pyannote[2084].speaker |
SPEAKER_32 |
transcript.pyannote[2084].start |
11854.54971875 |
transcript.pyannote[2084].end |
11857.43534375 |
transcript.pyannote[2085].speaker |
SPEAKER_32 |
transcript.pyannote[2085].start |
11857.95846875 |
transcript.pyannote[2085].end |
11863.45971875 |
transcript.pyannote[2086].speaker |
SPEAKER_32 |
transcript.pyannote[2086].start |
11863.62846875 |
transcript.pyannote[2086].end |
11866.21034375 |
transcript.pyannote[2087].speaker |
SPEAKER_32 |
transcript.pyannote[2087].start |
11866.56471875 |
transcript.pyannote[2087].end |
11869.53471875 |
transcript.pyannote[2088].speaker |
SPEAKER_32 |
transcript.pyannote[2088].start |
11869.78784375 |
transcript.pyannote[2088].end |
11870.15909375 |
transcript.pyannote[2089].speaker |
SPEAKER_32 |
transcript.pyannote[2089].start |
11870.78346875 |
transcript.pyannote[2089].end |
11874.19221875 |
transcript.pyannote[2090].speaker |
SPEAKER_32 |
transcript.pyannote[2090].start |
11874.47909375 |
transcript.pyannote[2090].end |
11879.33909375 |
transcript.pyannote[2091].speaker |
SPEAKER_32 |
transcript.pyannote[2091].start |
11879.60909375 |
transcript.pyannote[2091].end |
11882.56221875 |
transcript.pyannote[2092].speaker |
SPEAKER_32 |
transcript.pyannote[2092].start |
11882.78159375 |
transcript.pyannote[2092].end |
11893.32846875 |
transcript.pyannote[2093].speaker |
SPEAKER_32 |
transcript.pyannote[2093].start |
11893.48034375 |
transcript.pyannote[2093].end |
11897.44596875 |
transcript.pyannote[2094].speaker |
SPEAKER_32 |
transcript.pyannote[2094].start |
11897.81721875 |
transcript.pyannote[2094].end |
11900.75346875 |
transcript.pyannote[2095].speaker |
SPEAKER_32 |
transcript.pyannote[2095].start |
11901.29346875 |
transcript.pyannote[2095].end |
11907.25034375 |
transcript.pyannote[2096].speaker |
SPEAKER_32 |
transcript.pyannote[2096].start |
11907.48659375 |
transcript.pyannote[2096].end |
11913.39284375 |
transcript.pyannote[2097].speaker |
SPEAKER_32 |
transcript.pyannote[2097].start |
11913.64596875 |
transcript.pyannote[2097].end |
11920.86846875 |
transcript.pyannote[2098].speaker |
SPEAKER_32 |
transcript.pyannote[2098].start |
11921.54346875 |
transcript.pyannote[2098].end |
11925.15471875 |
transcript.pyannote[2099].speaker |
SPEAKER_32 |
transcript.pyannote[2099].start |
11925.89721875 |
transcript.pyannote[2099].end |
11929.91346875 |
transcript.pyannote[2100].speaker |
SPEAKER_32 |
transcript.pyannote[2100].start |
11930.28471875 |
transcript.pyannote[2100].end |
11931.68534375 |
transcript.pyannote[2101].speaker |
SPEAKER_32 |
transcript.pyannote[2101].start |
11932.09034375 |
transcript.pyannote[2101].end |
11933.94659375 |
transcript.pyannote[2102].speaker |
SPEAKER_32 |
transcript.pyannote[2102].start |
11934.38534375 |
transcript.pyannote[2102].end |
11936.76471875 |
transcript.pyannote[2103].speaker |
SPEAKER_32 |
transcript.pyannote[2103].start |
11937.03471875 |
transcript.pyannote[2103].end |
11938.23284375 |
transcript.pyannote[2104].speaker |
SPEAKER_32 |
transcript.pyannote[2104].start |
11938.35096875 |
transcript.pyannote[2104].end |
11940.81471875 |
transcript.pyannote[2105].speaker |
SPEAKER_32 |
transcript.pyannote[2105].start |
11941.00034375 |
transcript.pyannote[2105].end |
11943.43034375 |
transcript.pyannote[2106].speaker |
SPEAKER_32 |
transcript.pyannote[2106].start |
11943.76784375 |
transcript.pyannote[2106].end |
11951.19284375 |
transcript.pyannote[2107].speaker |
SPEAKER_32 |
transcript.pyannote[2107].start |
11951.59784375 |
transcript.pyannote[2107].end |
11954.68596875 |
transcript.pyannote[2108].speaker |
SPEAKER_32 |
transcript.pyannote[2108].start |
11955.05721875 |
transcript.pyannote[2108].end |
11957.52096875 |
transcript.pyannote[2109].speaker |
SPEAKER_32 |
transcript.pyannote[2109].start |
11957.84159375 |
transcript.pyannote[2109].end |
11960.00159375 |
transcript.pyannote[2110].speaker |
SPEAKER_16 |
transcript.pyannote[2110].start |
11960.11971875 |
transcript.pyannote[2110].end |
11963.68034375 |
transcript.pyannote[2111].speaker |
SPEAKER_32 |
transcript.pyannote[2111].start |
11963.68034375 |
transcript.pyannote[2111].end |
11968.74284375 |
transcript.pyannote[2112].speaker |
SPEAKER_32 |
transcript.pyannote[2112].start |
11969.18159375 |
transcript.pyannote[2112].end |
11969.45159375 |
transcript.pyannote[2113].speaker |
SPEAKER_32 |
transcript.pyannote[2113].start |
11970.29534375 |
transcript.pyannote[2113].end |
11975.05409375 |
transcript.pyannote[2114].speaker |
SPEAKER_32 |
transcript.pyannote[2114].start |
11975.35784375 |
transcript.pyannote[2114].end |
11977.88909375 |
transcript.pyannote[2115].speaker |
SPEAKER_32 |
transcript.pyannote[2115].start |
11977.95659375 |
transcript.pyannote[2115].end |
11978.91846875 |
transcript.pyannote[2116].speaker |
SPEAKER_32 |
transcript.pyannote[2116].start |
11979.10409375 |
transcript.pyannote[2116].end |
11984.68971875 |
transcript.pyannote[2117].speaker |
SPEAKER_32 |
transcript.pyannote[2117].start |
11985.16221875 |
transcript.pyannote[2117].end |
11986.09034375 |
transcript.pyannote[2118].speaker |
SPEAKER_32 |
transcript.pyannote[2118].start |
11986.66409375 |
transcript.pyannote[2118].end |
11989.87034375 |
transcript.pyannote[2119].speaker |
SPEAKER_32 |
transcript.pyannote[2119].start |
11989.98846875 |
transcript.pyannote[2119].end |
11991.20346875 |
transcript.pyannote[2120].speaker |
SPEAKER_32 |
transcript.pyannote[2120].start |
11991.57471875 |
transcript.pyannote[2120].end |
11994.49409375 |
transcript.pyannote[2121].speaker |
SPEAKER_32 |
transcript.pyannote[2121].start |
11994.86534375 |
transcript.pyannote[2121].end |
11997.05909375 |
transcript.pyannote[2122].speaker |
SPEAKER_32 |
transcript.pyannote[2122].start |
11998.05471875 |
transcript.pyannote[2122].end |
11999.96159375 |
transcript.pyannote[2123].speaker |
SPEAKER_05 |
transcript.pyannote[2123].start |
11998.57784375 |
transcript.pyannote[2123].end |
12001.41284375 |
transcript.pyannote[2124].speaker |
SPEAKER_32 |
transcript.pyannote[2124].start |
12000.14721875 |
transcript.pyannote[2124].end |
12001.68284375 |
transcript.pyannote[2125].speaker |
SPEAKER_05 |
transcript.pyannote[2125].start |
12002.13846875 |
transcript.pyannote[2125].end |
12007.53846875 |
transcript.pyannote[2126].speaker |
SPEAKER_32 |
transcript.pyannote[2126].start |
12002.20596875 |
transcript.pyannote[2126].end |
12002.56034375 |
transcript.pyannote[2127].speaker |
SPEAKER_04 |
transcript.pyannote[2127].start |
12019.01346875 |
transcript.pyannote[2127].end |
12028.51409375 |
transcript.pyannote[2128].speaker |
SPEAKER_05 |
transcript.pyannote[2128].start |
12025.49346875 |
transcript.pyannote[2128].end |
12026.59034375 |
transcript.pyannote[2129].speaker |
SPEAKER_04 |
transcript.pyannote[2129].start |
12030.60659375 |
transcript.pyannote[2129].end |
12042.62159375 |
transcript.pyannote[2130].speaker |
SPEAKER_04 |
transcript.pyannote[2130].start |
12043.09409375 |
transcript.pyannote[2130].end |
12043.39784375 |
transcript.pyannote[2131].speaker |
SPEAKER_04 |
transcript.pyannote[2131].start |
12044.10659375 |
transcript.pyannote[2131].end |
12049.10159375 |
transcript.pyannote[2132].speaker |
SPEAKER_04 |
transcript.pyannote[2132].start |
12049.43909375 |
transcript.pyannote[2132].end |
12052.96596875 |
transcript.pyannote[2133].speaker |
SPEAKER_16 |
transcript.pyannote[2133].start |
12053.55659375 |
transcript.pyannote[2133].end |
12055.26096875 |
transcript.pyannote[2134].speaker |
SPEAKER_16 |
transcript.pyannote[2134].start |
12055.56471875 |
transcript.pyannote[2134].end |
12056.69534375 |
transcript.pyannote[2135].speaker |
SPEAKER_04 |
transcript.pyannote[2135].start |
12056.08784375 |
transcript.pyannote[2135].end |
12056.64471875 |
transcript.pyannote[2136].speaker |
SPEAKER_04 |
transcript.pyannote[2136].start |
12056.69534375 |
transcript.pyannote[2136].end |
12056.96534375 |
transcript.pyannote[2137].speaker |
SPEAKER_16 |
transcript.pyannote[2137].start |
12056.96534375 |
transcript.pyannote[2137].end |
12057.03284375 |
transcript.pyannote[2138].speaker |
SPEAKER_04 |
transcript.pyannote[2138].start |
12057.03284375 |
transcript.pyannote[2138].end |
12057.97784375 |
transcript.pyannote[2139].speaker |
SPEAKER_16 |
transcript.pyannote[2139].start |
12057.97784375 |
transcript.pyannote[2139].end |
12058.02846875 |
transcript.pyannote[2140].speaker |
SPEAKER_04 |
transcript.pyannote[2140].start |
12058.02846875 |
transcript.pyannote[2140].end |
12058.97346875 |
transcript.pyannote[2141].speaker |
SPEAKER_16 |
transcript.pyannote[2141].start |
12058.97346875 |
transcript.pyannote[2141].end |
12059.02409375 |
transcript.pyannote[2142].speaker |
SPEAKER_04 |
transcript.pyannote[2142].start |
12059.02409375 |
transcript.pyannote[2142].end |
12059.96909375 |
transcript.pyannote[2143].speaker |
SPEAKER_16 |
transcript.pyannote[2143].start |
12059.96909375 |
transcript.pyannote[2143].end |
12060.03659375 |
transcript.pyannote[2144].speaker |
SPEAKER_04 |
transcript.pyannote[2144].start |
12060.03659375 |
transcript.pyannote[2144].end |
12060.30659375 |
transcript.pyannote[2145].speaker |
SPEAKER_16 |
transcript.pyannote[2145].start |
12060.30659375 |
transcript.pyannote[2145].end |
12061.09971875 |
transcript.pyannote[2146].speaker |
SPEAKER_04 |
transcript.pyannote[2146].start |
12060.40784375 |
transcript.pyannote[2146].end |
12060.74534375 |
transcript.pyannote[2147].speaker |
SPEAKER_04 |
transcript.pyannote[2147].start |
12061.09971875 |
transcript.pyannote[2147].end |
12066.24659375 |
transcript.pyannote[2148].speaker |
SPEAKER_04 |
transcript.pyannote[2148].start |
12066.61784375 |
transcript.pyannote[2148].end |
12067.76534375 |
transcript.pyannote[2149].speaker |
SPEAKER_04 |
transcript.pyannote[2149].start |
12067.96784375 |
transcript.pyannote[2149].end |
12070.04346875 |
transcript.pyannote[2150].speaker |
SPEAKER_04 |
transcript.pyannote[2150].start |
12070.54971875 |
transcript.pyannote[2150].end |
12075.19034375 |
transcript.pyannote[2151].speaker |
SPEAKER_04 |
transcript.pyannote[2151].start |
12075.61221875 |
transcript.pyannote[2151].end |
12079.86471875 |
transcript.pyannote[2152].speaker |
SPEAKER_04 |
transcript.pyannote[2152].start |
12080.65784375 |
transcript.pyannote[2152].end |
12086.54721875 |
transcript.pyannote[2153].speaker |
SPEAKER_04 |
transcript.pyannote[2153].start |
12088.21784375 |
transcript.pyannote[2153].end |
12088.52159375 |
transcript.pyannote[2154].speaker |
SPEAKER_04 |
transcript.pyannote[2154].start |
12088.85909375 |
transcript.pyannote[2154].end |
12091.72784375 |
transcript.pyannote[2155].speaker |
SPEAKER_10 |
transcript.pyannote[2155].start |
12092.52096875 |
transcript.pyannote[2155].end |
12093.01034375 |
transcript.pyannote[2156].speaker |
SPEAKER_04 |
transcript.pyannote[2156].start |
12092.87534375 |
transcript.pyannote[2156].end |
12097.22909375 |
transcript.pyannote[2157].speaker |
SPEAKER_04 |
transcript.pyannote[2157].start |
12097.95471875 |
transcript.pyannote[2157].end |
12100.31721875 |
transcript.pyannote[2158].speaker |
SPEAKER_04 |
transcript.pyannote[2158].start |
12101.53221875 |
transcript.pyannote[2158].end |
12102.34221875 |
transcript.pyannote[2159].speaker |
SPEAKER_04 |
transcript.pyannote[2159].start |
12103.11846875 |
transcript.pyannote[2159].end |
12106.10534375 |
transcript.pyannote[2160].speaker |
SPEAKER_04 |
transcript.pyannote[2160].start |
12106.84784375 |
transcript.pyannote[2160].end |
12108.07971875 |
transcript.pyannote[2161].speaker |
SPEAKER_04 |
transcript.pyannote[2161].start |
12108.19784375 |
transcript.pyannote[2161].end |
12111.06659375 |
transcript.pyannote[2162].speaker |
SPEAKER_04 |
transcript.pyannote[2162].start |
12111.60659375 |
transcript.pyannote[2162].end |
12131.68784375 |
transcript.pyannote[2163].speaker |
SPEAKER_04 |
transcript.pyannote[2163].start |
12132.12659375 |
transcript.pyannote[2163].end |
12140.61471875 |
transcript.pyannote[2164].speaker |
SPEAKER_22 |
transcript.pyannote[2164].start |
12133.81409375 |
transcript.pyannote[2164].end |
12133.84784375 |
transcript.pyannote[2165].speaker |
SPEAKER_04 |
transcript.pyannote[2165].start |
12141.03659375 |
transcript.pyannote[2165].end |
12142.01534375 |
transcript.pyannote[2166].speaker |
SPEAKER_16 |
transcript.pyannote[2166].start |
12141.49221875 |
transcript.pyannote[2166].end |
12144.56346875 |
transcript.pyannote[2167].speaker |
SPEAKER_04 |
transcript.pyannote[2167].start |
12144.56346875 |
transcript.pyannote[2167].end |
12157.37159375 |
transcript.pyannote[2168].speaker |
SPEAKER_04 |
transcript.pyannote[2168].start |
12158.31659375 |
transcript.pyannote[2168].end |
12160.27409375 |
transcript.pyannote[2169].speaker |
SPEAKER_16 |
transcript.pyannote[2169].start |
12161.57346875 |
transcript.pyannote[2169].end |
12162.65346875 |
transcript.pyannote[2170].speaker |
SPEAKER_16 |
transcript.pyannote[2170].start |
12163.24409375 |
transcript.pyannote[2170].end |
12164.52659375 |
transcript.pyannote[2171].speaker |
SPEAKER_04 |
transcript.pyannote[2171].start |
12164.50971875 |
transcript.pyannote[2171].end |
12166.38284375 |
transcript.pyannote[2172].speaker |
SPEAKER_04 |
transcript.pyannote[2172].start |
12166.90596875 |
transcript.pyannote[2172].end |
12167.80034375 |
transcript.pyannote[2173].speaker |
SPEAKER_04 |
transcript.pyannote[2173].start |
12168.34034375 |
transcript.pyannote[2173].end |
12168.79596875 |
transcript.pyannote[2174].speaker |
SPEAKER_22 |
transcript.pyannote[2174].start |
12168.79596875 |
transcript.pyannote[2174].end |
12168.91409375 |
transcript.pyannote[2175].speaker |
SPEAKER_04 |
transcript.pyannote[2175].start |
12168.91409375 |
transcript.pyannote[2175].end |
12169.90971875 |
transcript.pyannote[2176].speaker |
SPEAKER_04 |
transcript.pyannote[2176].start |
12170.12909375 |
transcript.pyannote[2176].end |
12173.80784375 |
transcript.pyannote[2177].speaker |
SPEAKER_04 |
transcript.pyannote[2177].start |
12175.05659375 |
transcript.pyannote[2177].end |
12186.21096875 |
transcript.pyannote[2178].speaker |
SPEAKER_04 |
transcript.pyannote[2178].start |
12186.49784375 |
transcript.pyannote[2178].end |
12190.51409375 |
transcript.pyannote[2179].speaker |
SPEAKER_04 |
transcript.pyannote[2179].start |
12190.63221875 |
transcript.pyannote[2179].end |
12195.88034375 |
transcript.pyannote[2180].speaker |
SPEAKER_04 |
transcript.pyannote[2180].start |
12196.65659375 |
transcript.pyannote[2180].end |
12207.13596875 |
transcript.pyannote[2181].speaker |
SPEAKER_04 |
transcript.pyannote[2181].start |
12207.43971875 |
transcript.pyannote[2181].end |
12221.37846875 |
transcript.pyannote[2182].speaker |
SPEAKER_04 |
transcript.pyannote[2182].start |
12221.66534375 |
transcript.pyannote[2182].end |
12231.87471875 |
transcript.pyannote[2183].speaker |
SPEAKER_05 |
transcript.pyannote[2183].start |
12231.87471875 |
transcript.pyannote[2183].end |
12232.17846875 |
transcript.pyannote[2184].speaker |
SPEAKER_04 |
transcript.pyannote[2184].start |
12232.54971875 |
transcript.pyannote[2184].end |
12234.49034375 |
transcript.pyannote[2185].speaker |
SPEAKER_05 |
transcript.pyannote[2185].start |
12234.43971875 |
transcript.pyannote[2185].end |
12234.47346875 |
transcript.pyannote[2186].speaker |
SPEAKER_05 |
transcript.pyannote[2186].start |
12234.49034375 |
transcript.pyannote[2186].end |
12234.76034375 |
transcript.pyannote[2187].speaker |
SPEAKER_04 |
transcript.pyannote[2187].start |
12234.76034375 |
transcript.pyannote[2187].end |
12240.98721875 |
transcript.pyannote[2188].speaker |
SPEAKER_04 |
transcript.pyannote[2188].start |
12241.40909375 |
transcript.pyannote[2188].end |
12245.66159375 |
transcript.pyannote[2189].speaker |
SPEAKER_04 |
transcript.pyannote[2189].start |
12246.77534375 |
transcript.pyannote[2189].end |
12249.10409375 |
transcript.pyannote[2190].speaker |
SPEAKER_04 |
transcript.pyannote[2190].start |
12249.30659375 |
transcript.pyannote[2190].end |
12251.71971875 |
transcript.pyannote[2191].speaker |
SPEAKER_04 |
transcript.pyannote[2191].start |
12251.87159375 |
transcript.pyannote[2191].end |
12259.58346875 |
transcript.pyannote[2192].speaker |
SPEAKER_04 |
transcript.pyannote[2192].start |
12260.59596875 |
transcript.pyannote[2192].end |
12268.71284375 |
transcript.pyannote[2193].speaker |
SPEAKER_04 |
transcript.pyannote[2193].start |
12269.08409375 |
transcript.pyannote[2193].end |
12274.75409375 |
transcript.pyannote[2194].speaker |
SPEAKER_17 |
transcript.pyannote[2194].start |
12271.73346875 |
transcript.pyannote[2194].end |
12272.07096875 |
transcript.pyannote[2195].speaker |
SPEAKER_04 |
transcript.pyannote[2195].start |
12275.20971875 |
transcript.pyannote[2195].end |
12278.34846875 |
transcript.pyannote[2196].speaker |
SPEAKER_04 |
transcript.pyannote[2196].start |
12278.73659375 |
transcript.pyannote[2196].end |
12282.07784375 |
transcript.pyannote[2197].speaker |
SPEAKER_05 |
transcript.pyannote[2197].start |
12282.31409375 |
transcript.pyannote[2197].end |
12282.33096875 |
transcript.pyannote[2198].speaker |
SPEAKER_04 |
transcript.pyannote[2198].start |
12282.33096875 |
transcript.pyannote[2198].end |
12282.48284375 |
transcript.pyannote[2199].speaker |
SPEAKER_05 |
transcript.pyannote[2199].start |
12282.48284375 |
transcript.pyannote[2199].end |
12282.49971875 |
transcript.pyannote[2200].speaker |
SPEAKER_04 |
transcript.pyannote[2200].start |
12282.49971875 |
transcript.pyannote[2200].end |
12283.63034375 |
transcript.pyannote[2201].speaker |
SPEAKER_04 |
transcript.pyannote[2201].start |
12283.91721875 |
transcript.pyannote[2201].end |
12290.17784375 |
transcript.pyannote[2202].speaker |
SPEAKER_31 |
transcript.pyannote[2202].start |
12288.79409375 |
transcript.pyannote[2202].end |
12288.87846875 |
transcript.pyannote[2203].speaker |
SPEAKER_04 |
transcript.pyannote[2203].start |
12290.73471875 |
transcript.pyannote[2203].end |
12291.62909375 |
transcript.pyannote[2204].speaker |
SPEAKER_31 |
transcript.pyannote[2204].start |
12291.89909375 |
transcript.pyannote[2204].end |
12292.21971875 |
transcript.pyannote[2205].speaker |
SPEAKER_04 |
transcript.pyannote[2205].start |
12292.21971875 |
transcript.pyannote[2205].end |
12293.90721875 |
transcript.pyannote[2206].speaker |
SPEAKER_04 |
transcript.pyannote[2206].start |
12294.17721875 |
transcript.pyannote[2206].end |
12294.64971875 |
transcript.pyannote[2207].speaker |
SPEAKER_04 |
transcript.pyannote[2207].start |
12295.05471875 |
transcript.pyannote[2207].end |
12300.72471875 |
transcript.pyannote[2208].speaker |
SPEAKER_04 |
transcript.pyannote[2208].start |
12301.07909375 |
transcript.pyannote[2208].end |
12303.93096875 |
transcript.pyannote[2209].speaker |
SPEAKER_04 |
transcript.pyannote[2209].start |
12305.19659375 |
transcript.pyannote[2209].end |
12308.63909375 |
transcript.pyannote[2210].speaker |
SPEAKER_04 |
transcript.pyannote[2210].start |
12309.01034375 |
transcript.pyannote[2210].end |
12310.03971875 |
transcript.pyannote[2211].speaker |
SPEAKER_04 |
transcript.pyannote[2211].start |
12310.59659375 |
transcript.pyannote[2211].end |
12323.40471875 |
transcript.pyannote[2212].speaker |
SPEAKER_04 |
transcript.pyannote[2212].start |
12324.63659375 |
transcript.pyannote[2212].end |
12327.91034375 |
transcript.pyannote[2213].speaker |
SPEAKER_04 |
transcript.pyannote[2213].start |
12328.97346875 |
transcript.pyannote[2213].end |
12336.65159375 |
transcript.pyannote[2214].speaker |
SPEAKER_04 |
transcript.pyannote[2214].start |
12337.22534375 |
transcript.pyannote[2214].end |
12343.14846875 |
transcript.pyannote[2215].speaker |
SPEAKER_04 |
transcript.pyannote[2215].start |
12343.28346875 |
transcript.pyannote[2215].end |
12346.47284375 |
transcript.pyannote[2216].speaker |
SPEAKER_04 |
transcript.pyannote[2216].start |
12347.06346875 |
transcript.pyannote[2216].end |
12355.80471875 |
transcript.pyannote[2217].speaker |
SPEAKER_04 |
transcript.pyannote[2217].start |
12355.85534375 |
transcript.pyannote[2217].end |
12360.74909375 |
transcript.pyannote[2218].speaker |
SPEAKER_04 |
transcript.pyannote[2218].start |
12361.30596875 |
transcript.pyannote[2218].end |
12365.13659375 |
transcript.pyannote[2219].speaker |
SPEAKER_04 |
transcript.pyannote[2219].start |
12365.60909375 |
transcript.pyannote[2219].end |
12367.56659375 |
transcript.pyannote[2220].speaker |
SPEAKER_04 |
transcript.pyannote[2220].start |
12368.51159375 |
transcript.pyannote[2220].end |
12376.03784375 |
transcript.pyannote[2221].speaker |
SPEAKER_04 |
transcript.pyannote[2221].start |
12376.59471875 |
transcript.pyannote[2221].end |
12388.27221875 |
transcript.pyannote[2222].speaker |
SPEAKER_04 |
transcript.pyannote[2222].start |
12389.14971875 |
transcript.pyannote[2222].end |
12391.36034375 |
transcript.pyannote[2223].speaker |
SPEAKER_04 |
transcript.pyannote[2223].start |
12391.39409375 |
transcript.pyannote[2223].end |
12392.10284375 |
transcript.pyannote[2224].speaker |
SPEAKER_04 |
transcript.pyannote[2224].start |
12395.05596875 |
transcript.pyannote[2224].end |
12414.52971875 |
transcript.pyannote[2225].speaker |
SPEAKER_04 |
transcript.pyannote[2225].start |
12414.81659375 |
transcript.pyannote[2225].end |
12415.52534375 |
transcript.pyannote[2226].speaker |
SPEAKER_04 |
transcript.pyannote[2226].start |
12416.01471875 |
transcript.pyannote[2226].end |
12418.17471875 |
transcript.pyannote[2227].speaker |
SPEAKER_04 |
transcript.pyannote[2227].start |
12418.71471875 |
transcript.pyannote[2227].end |
12421.02659375 |
transcript.pyannote[2228].speaker |
SPEAKER_04 |
transcript.pyannote[2228].start |
12421.44846875 |
transcript.pyannote[2228].end |
12431.59034375 |
transcript.pyannote[2229].speaker |
SPEAKER_04 |
transcript.pyannote[2229].start |
12432.13034375 |
transcript.pyannote[2229].end |
12432.94034375 |
transcript.pyannote[2230].speaker |
SPEAKER_04 |
transcript.pyannote[2230].start |
12433.37909375 |
transcript.pyannote[2230].end |
12437.00721875 |
transcript.pyannote[2231].speaker |
SPEAKER_04 |
transcript.pyannote[2231].start |
12437.37846875 |
transcript.pyannote[2231].end |
12440.33159375 |
transcript.pyannote[2232].speaker |
SPEAKER_04 |
transcript.pyannote[2232].start |
12441.10784375 |
transcript.pyannote[2232].end |
12453.35909375 |
transcript.pyannote[2233].speaker |
SPEAKER_04 |
transcript.pyannote[2233].start |
12454.28721875 |
transcript.pyannote[2233].end |
12483.86909375 |
transcript.pyannote[2234].speaker |
SPEAKER_30 |
transcript.pyannote[2234].start |
12483.86909375 |
transcript.pyannote[2234].end |
12488.64471875 |
transcript.pyannote[2235].speaker |
SPEAKER_05 |
transcript.pyannote[2235].start |
12488.34096875 |
transcript.pyannote[2235].end |
12493.74096875 |
transcript.pyannote[2236].speaker |
SPEAKER_27 |
transcript.pyannote[2236].start |
12497.95971875 |
transcript.pyannote[2236].end |
12500.59221875 |
transcript.pyannote[2237].speaker |
SPEAKER_27 |
transcript.pyannote[2237].start |
12501.19971875 |
transcript.pyannote[2237].end |
12502.39784375 |
transcript.pyannote[2238].speaker |
SPEAKER_27 |
transcript.pyannote[2238].start |
12503.56221875 |
transcript.pyannote[2238].end |
12504.00096875 |
transcript.pyannote[2239].speaker |
SPEAKER_27 |
transcript.pyannote[2239].start |
12504.82784375 |
transcript.pyannote[2239].end |
12507.35909375 |
transcript.pyannote[2240].speaker |
SPEAKER_27 |
transcript.pyannote[2240].start |
12508.33784375 |
transcript.pyannote[2240].end |
12512.05034375 |
transcript.pyannote[2241].speaker |
SPEAKER_27 |
transcript.pyannote[2241].start |
12512.65784375 |
transcript.pyannote[2241].end |
12513.95721875 |
transcript.pyannote[2242].speaker |
SPEAKER_27 |
transcript.pyannote[2242].start |
12514.80096875 |
transcript.pyannote[2242].end |
12515.45909375 |
transcript.pyannote[2243].speaker |
SPEAKER_27 |
transcript.pyannote[2243].start |
12515.99909375 |
transcript.pyannote[2243].end |
12516.89346875 |
transcript.pyannote[2244].speaker |
SPEAKER_27 |
transcript.pyannote[2244].start |
12517.95659375 |
transcript.pyannote[2244].end |
12518.64846875 |
transcript.pyannote[2245].speaker |
SPEAKER_27 |
transcript.pyannote[2245].start |
12520.25159375 |
transcript.pyannote[2245].end |
12520.82534375 |
transcript.pyannote[2246].speaker |
SPEAKER_27 |
transcript.pyannote[2246].start |
12522.07409375 |
transcript.pyannote[2246].end |
12523.01909375 |
transcript.pyannote[2247].speaker |
SPEAKER_27 |
transcript.pyannote[2247].start |
12527.30534375 |
transcript.pyannote[2247].end |
12527.82846875 |
transcript.pyannote[2248].speaker |
SPEAKER_27 |
transcript.pyannote[2248].start |
12527.91284375 |
transcript.pyannote[2248].end |
12528.50346875 |
transcript.pyannote[2249].speaker |
SPEAKER_27 |
transcript.pyannote[2249].start |
12529.48221875 |
transcript.pyannote[2249].end |
12530.32596875 |
transcript.pyannote[2250].speaker |
SPEAKER_27 |
transcript.pyannote[2250].start |
12531.00096875 |
transcript.pyannote[2250].end |
12533.32971875 |
transcript.pyannote[2251].speaker |
SPEAKER_27 |
transcript.pyannote[2251].start |
12534.27471875 |
transcript.pyannote[2251].end |
12538.66221875 |
transcript.pyannote[2252].speaker |
SPEAKER_27 |
transcript.pyannote[2252].start |
12539.53971875 |
transcript.pyannote[2252].end |
12540.83909375 |
transcript.pyannote[2253].speaker |
SPEAKER_27 |
transcript.pyannote[2253].start |
12540.97409375 |
transcript.pyannote[2253].end |
12544.28159375 |
transcript.pyannote[2254].speaker |
SPEAKER_27 |
transcript.pyannote[2254].start |
12545.09159375 |
transcript.pyannote[2254].end |
12554.40659375 |
transcript.pyannote[2255].speaker |
SPEAKER_27 |
transcript.pyannote[2255].start |
12555.26721875 |
transcript.pyannote[2255].end |
12556.58346875 |
transcript.pyannote[2256].speaker |
SPEAKER_27 |
transcript.pyannote[2256].start |
12557.02221875 |
transcript.pyannote[2256].end |
12558.05159375 |
transcript.pyannote[2257].speaker |
SPEAKER_27 |
transcript.pyannote[2257].start |
12558.47346875 |
transcript.pyannote[2257].end |
12559.24971875 |
transcript.pyannote[2258].speaker |
SPEAKER_27 |
transcript.pyannote[2258].start |
12559.92471875 |
transcript.pyannote[2258].end |
12560.66721875 |
transcript.pyannote[2259].speaker |
SPEAKER_27 |
transcript.pyannote[2259].start |
12560.75159375 |
transcript.pyannote[2259].end |
12562.89471875 |
transcript.pyannote[2260].speaker |
SPEAKER_07 |
transcript.pyannote[2260].start |
12563.51909375 |
transcript.pyannote[2260].end |
12563.62034375 |
transcript.pyannote[2261].speaker |
SPEAKER_07 |
transcript.pyannote[2261].start |
12564.22784375 |
transcript.pyannote[2261].end |
12570.03284375 |
transcript.pyannote[2262].speaker |
SPEAKER_27 |
transcript.pyannote[2262].start |
12570.03284375 |
transcript.pyannote[2262].end |
12572.56409375 |
transcript.pyannote[2263].speaker |
SPEAKER_07 |
transcript.pyannote[2263].start |
12570.33659375 |
transcript.pyannote[2263].end |
12570.96096875 |
transcript.pyannote[2264].speaker |
SPEAKER_27 |
transcript.pyannote[2264].start |
12572.83409375 |
transcript.pyannote[2264].end |
12574.33596875 |
transcript.pyannote[2265].speaker |
SPEAKER_27 |
transcript.pyannote[2265].start |
12574.90971875 |
transcript.pyannote[2265].end |
12576.74909375 |
transcript.pyannote[2266].speaker |
SPEAKER_27 |
transcript.pyannote[2266].start |
12577.40721875 |
transcript.pyannote[2266].end |
12580.88346875 |
transcript.pyannote[2267].speaker |
SPEAKER_27 |
transcript.pyannote[2267].start |
12581.76096875 |
transcript.pyannote[2267].end |
12583.61721875 |
transcript.pyannote[2268].speaker |
SPEAKER_27 |
transcript.pyannote[2268].start |
12583.87034375 |
transcript.pyannote[2268].end |
12584.07284375 |
transcript.pyannote[2269].speaker |
SPEAKER_27 |
transcript.pyannote[2269].start |
12584.44409375 |
transcript.pyannote[2269].end |
12586.03034375 |
transcript.pyannote[2270].speaker |
SPEAKER_27 |
transcript.pyannote[2270].start |
12586.23284375 |
transcript.pyannote[2270].end |
12586.53659375 |
transcript.pyannote[2271].speaker |
SPEAKER_27 |
transcript.pyannote[2271].start |
12586.57034375 |
transcript.pyannote[2271].end |
12587.80221875 |
transcript.pyannote[2272].speaker |
SPEAKER_27 |
transcript.pyannote[2272].start |
12588.08909375 |
transcript.pyannote[2272].end |
12589.79346875 |
transcript.pyannote[2273].speaker |
SPEAKER_27 |
transcript.pyannote[2273].start |
12590.40096875 |
transcript.pyannote[2273].end |
12592.67909375 |
transcript.pyannote[2274].speaker |
SPEAKER_27 |
transcript.pyannote[2274].start |
12593.45534375 |
transcript.pyannote[2274].end |
12594.43409375 |
transcript.pyannote[2275].speaker |
SPEAKER_27 |
transcript.pyannote[2275].start |
12594.77159375 |
transcript.pyannote[2275].end |
12598.12971875 |
transcript.pyannote[2276].speaker |
SPEAKER_27 |
transcript.pyannote[2276].start |
12598.41659375 |
transcript.pyannote[2276].end |
12603.02346875 |
transcript.pyannote[2277].speaker |
SPEAKER_27 |
transcript.pyannote[2277].start |
12603.46221875 |
transcript.pyannote[2277].end |
12605.92596875 |
transcript.pyannote[2278].speaker |
SPEAKER_27 |
transcript.pyannote[2278].start |
12606.68534375 |
transcript.pyannote[2278].end |
12608.79471875 |
transcript.pyannote[2279].speaker |
SPEAKER_27 |
transcript.pyannote[2279].start |
12609.50346875 |
transcript.pyannote[2279].end |
12618.26159375 |
transcript.pyannote[2280].speaker |
SPEAKER_27 |
transcript.pyannote[2280].start |
12618.90284375 |
transcript.pyannote[2280].end |
12619.88159375 |
transcript.pyannote[2281].speaker |
SPEAKER_27 |
transcript.pyannote[2281].start |
12620.40471875 |
transcript.pyannote[2281].end |
12625.31534375 |
transcript.pyannote[2282].speaker |
SPEAKER_27 |
transcript.pyannote[2282].start |
12625.80471875 |
transcript.pyannote[2282].end |
12627.62721875 |
transcript.pyannote[2283].speaker |
SPEAKER_27 |
transcript.pyannote[2283].start |
12627.99846875 |
transcript.pyannote[2283].end |
12628.31909375 |
transcript.pyannote[2284].speaker |
SPEAKER_07 |
transcript.pyannote[2284].start |
12628.31909375 |
transcript.pyannote[2284].end |
12631.62659375 |
transcript.pyannote[2285].speaker |
SPEAKER_27 |
transcript.pyannote[2285].start |
12629.26409375 |
transcript.pyannote[2285].end |
12640.14846875 |
transcript.pyannote[2286].speaker |
SPEAKER_27 |
transcript.pyannote[2286].start |
12641.02596875 |
transcript.pyannote[2286].end |
12641.85284375 |
transcript.pyannote[2287].speaker |
SPEAKER_27 |
transcript.pyannote[2287].start |
12642.19034375 |
transcript.pyannote[2287].end |
12644.55284375 |
transcript.pyannote[2288].speaker |
SPEAKER_27 |
transcript.pyannote[2288].start |
12644.95784375 |
transcript.pyannote[2288].end |
12648.01221875 |
transcript.pyannote[2289].speaker |
SPEAKER_27 |
transcript.pyannote[2289].start |
12648.43409375 |
transcript.pyannote[2289].end |
12649.54784375 |
transcript.pyannote[2290].speaker |
SPEAKER_27 |
transcript.pyannote[2290].start |
12650.34096875 |
transcript.pyannote[2290].end |
12653.69909375 |
transcript.pyannote[2291].speaker |
SPEAKER_27 |
transcript.pyannote[2291].start |
12654.05346875 |
transcript.pyannote[2291].end |
12661.61346875 |
transcript.pyannote[2292].speaker |
SPEAKER_27 |
transcript.pyannote[2292].start |
12662.17034375 |
transcript.pyannote[2292].end |
12669.05534375 |
transcript.pyannote[2293].speaker |
SPEAKER_27 |
transcript.pyannote[2293].start |
12670.15221875 |
transcript.pyannote[2293].end |
12672.78471875 |
transcript.pyannote[2294].speaker |
SPEAKER_27 |
transcript.pyannote[2294].start |
12673.03784375 |
transcript.pyannote[2294].end |
12675.78846875 |
transcript.pyannote[2295].speaker |
SPEAKER_27 |
transcript.pyannote[2295].start |
12676.51409375 |
transcript.pyannote[2295].end |
12679.93971875 |
transcript.pyannote[2296].speaker |
SPEAKER_27 |
transcript.pyannote[2296].start |
12681.01971875 |
transcript.pyannote[2296].end |
12683.21346875 |
transcript.pyannote[2297].speaker |
SPEAKER_27 |
transcript.pyannote[2297].start |
12684.51284375 |
transcript.pyannote[2297].end |
12685.57596875 |
transcript.pyannote[2298].speaker |
SPEAKER_27 |
transcript.pyannote[2298].start |
12685.79534375 |
transcript.pyannote[2298].end |
12686.35221875 |
transcript.pyannote[2299].speaker |
SPEAKER_27 |
transcript.pyannote[2299].start |
12686.92596875 |
transcript.pyannote[2299].end |
12687.82034375 |
transcript.pyannote[2300].speaker |
SPEAKER_27 |
transcript.pyannote[2300].start |
12688.46159375 |
transcript.pyannote[2300].end |
12689.72721875 |
transcript.pyannote[2301].speaker |
SPEAKER_27 |
transcript.pyannote[2301].start |
12690.30096875 |
transcript.pyannote[2301].end |
12693.65909375 |
transcript.pyannote[2302].speaker |
SPEAKER_27 |
transcript.pyannote[2302].start |
12694.33409375 |
transcript.pyannote[2302].end |
12695.56596875 |
transcript.pyannote[2303].speaker |
SPEAKER_27 |
transcript.pyannote[2303].start |
12696.25784375 |
transcript.pyannote[2303].end |
12698.18159375 |
transcript.pyannote[2304].speaker |
SPEAKER_27 |
transcript.pyannote[2304].start |
12698.78909375 |
transcript.pyannote[2304].end |
12700.35846875 |
transcript.pyannote[2305].speaker |
SPEAKER_16 |
transcript.pyannote[2305].start |
12701.11784375 |
transcript.pyannote[2305].end |
12704.32409375 |
transcript.pyannote[2306].speaker |
SPEAKER_16 |
transcript.pyannote[2306].start |
12704.67846875 |
transcript.pyannote[2306].end |
12707.96909375 |
transcript.pyannote[2307].speaker |
SPEAKER_16 |
transcript.pyannote[2307].start |
12708.28971875 |
transcript.pyannote[2307].end |
12708.72846875 |
transcript.pyannote[2308].speaker |
SPEAKER_16 |
transcript.pyannote[2308].start |
12708.93096875 |
transcript.pyannote[2308].end |
12712.79534375 |
transcript.pyannote[2309].speaker |
SPEAKER_16 |
transcript.pyannote[2309].start |
12713.01471875 |
transcript.pyannote[2309].end |
12713.04846875 |
transcript.pyannote[2310].speaker |
SPEAKER_16 |
transcript.pyannote[2310].start |
12713.06534375 |
transcript.pyannote[2310].end |
12716.44034375 |
transcript.pyannote[2311].speaker |
SPEAKER_16 |
transcript.pyannote[2311].start |
12716.62596875 |
transcript.pyannote[2311].end |
12718.75221875 |
transcript.pyannote[2312].speaker |
SPEAKER_16 |
transcript.pyannote[2312].start |
12718.97159375 |
transcript.pyannote[2312].end |
12720.59159375 |
transcript.pyannote[2313].speaker |
SPEAKER_16 |
transcript.pyannote[2313].start |
12720.91221875 |
transcript.pyannote[2313].end |
12726.02534375 |
transcript.pyannote[2314].speaker |
SPEAKER_16 |
transcript.pyannote[2314].start |
12726.22784375 |
transcript.pyannote[2314].end |
12727.35846875 |
transcript.pyannote[2315].speaker |
SPEAKER_16 |
transcript.pyannote[2315].start |
12727.56096875 |
transcript.pyannote[2315].end |
12730.71659375 |
transcript.pyannote[2316].speaker |
SPEAKER_16 |
transcript.pyannote[2316].start |
12730.73346875 |
transcript.pyannote[2316].end |
12739.18784375 |
transcript.pyannote[2317].speaker |
SPEAKER_27 |
transcript.pyannote[2317].start |
12739.05284375 |
transcript.pyannote[2317].end |
12741.02721875 |
transcript.pyannote[2318].speaker |
SPEAKER_27 |
transcript.pyannote[2318].start |
12741.11159375 |
transcript.pyannote[2318].end |
12743.06909375 |
transcript.pyannote[2319].speaker |
SPEAKER_22 |
transcript.pyannote[2319].start |
12743.18721875 |
transcript.pyannote[2319].end |
12743.22096875 |
transcript.pyannote[2320].speaker |
SPEAKER_16 |
transcript.pyannote[2320].start |
12743.22096875 |
transcript.pyannote[2320].end |
12743.42346875 |
transcript.pyannote[2321].speaker |
SPEAKER_22 |
transcript.pyannote[2321].start |
12743.42346875 |
transcript.pyannote[2321].end |
12743.50784375 |
transcript.pyannote[2322].speaker |
SPEAKER_27 |
transcript.pyannote[2322].start |
12743.50784375 |
transcript.pyannote[2322].end |
12743.52471875 |
transcript.pyannote[2323].speaker |
SPEAKER_27 |
transcript.pyannote[2323].start |
12743.59221875 |
transcript.pyannote[2323].end |
12745.31346875 |
transcript.pyannote[2324].speaker |
SPEAKER_27 |
transcript.pyannote[2324].start |
12745.98846875 |
transcript.pyannote[2324].end |
12746.86596875 |
transcript.pyannote[2325].speaker |
SPEAKER_27 |
transcript.pyannote[2325].start |
12748.04721875 |
transcript.pyannote[2325].end |
12750.56159375 |
transcript.pyannote[2326].speaker |
SPEAKER_16 |
transcript.pyannote[2326].start |
12750.56159375 |
transcript.pyannote[2326].end |
12750.91596875 |
transcript.pyannote[2327].speaker |
SPEAKER_27 |
transcript.pyannote[2327].start |
12751.15221875 |
transcript.pyannote[2327].end |
12751.84409375 |
transcript.pyannote[2328].speaker |
SPEAKER_27 |
transcript.pyannote[2328].start |
12752.46846875 |
transcript.pyannote[2328].end |
12754.44284375 |
transcript.pyannote[2329].speaker |
SPEAKER_27 |
transcript.pyannote[2329].start |
12754.79721875 |
transcript.pyannote[2329].end |
12756.26534375 |
transcript.pyannote[2330].speaker |
SPEAKER_27 |
transcript.pyannote[2330].start |
12756.82221875 |
transcript.pyannote[2330].end |
12765.90096875 |
transcript.pyannote[2331].speaker |
SPEAKER_07 |
transcript.pyannote[2331].start |
12759.37034375 |
transcript.pyannote[2331].end |
12762.03659375 |
transcript.pyannote[2332].speaker |
SPEAKER_07 |
transcript.pyannote[2332].start |
12763.21784375 |
transcript.pyannote[2332].end |
12763.25159375 |
transcript.pyannote[2333].speaker |
SPEAKER_27 |
transcript.pyannote[2333].start |
12766.81221875 |
transcript.pyannote[2333].end |
12769.86659375 |
transcript.pyannote[2334].speaker |
SPEAKER_27 |
transcript.pyannote[2334].start |
12770.27159375 |
transcript.pyannote[2334].end |
12772.92096875 |
transcript.pyannote[2335].speaker |
SPEAKER_27 |
transcript.pyannote[2335].start |
12773.17409375 |
transcript.pyannote[2335].end |
12775.80659375 |
transcript.pyannote[2336].speaker |
SPEAKER_27 |
transcript.pyannote[2336].start |
12776.63346875 |
transcript.pyannote[2336].end |
12777.20721875 |
transcript.pyannote[2337].speaker |
SPEAKER_27 |
transcript.pyannote[2337].start |
12778.23659375 |
transcript.pyannote[2337].end |
12779.95784375 |
transcript.pyannote[2338].speaker |
SPEAKER_27 |
transcript.pyannote[2338].start |
12780.63284375 |
transcript.pyannote[2338].end |
12781.07159375 |
transcript.pyannote[2339].speaker |
SPEAKER_27 |
transcript.pyannote[2339].start |
12781.35846875 |
transcript.pyannote[2339].end |
12783.40034375 |
transcript.pyannote[2340].speaker |
SPEAKER_27 |
transcript.pyannote[2340].start |
12783.72096875 |
transcript.pyannote[2340].end |
12786.58971875 |
transcript.pyannote[2341].speaker |
SPEAKER_16 |
transcript.pyannote[2341].start |
12786.74159375 |
transcript.pyannote[2341].end |
12794.60534375 |
transcript.pyannote[2342].speaker |
SPEAKER_27 |
transcript.pyannote[2342].start |
12794.55471875 |
transcript.pyannote[2342].end |
12799.00971875 |
transcript.pyannote[2343].speaker |
SPEAKER_00 |
transcript.pyannote[2343].start |
12799.53284375 |
transcript.pyannote[2343].end |
12800.37659375 |
transcript.pyannote[2344].speaker |
SPEAKER_27 |
transcript.pyannote[2344].start |
12800.08971875 |
transcript.pyannote[2344].end |
12805.96221875 |
transcript.pyannote[2345].speaker |
SPEAKER_07 |
transcript.pyannote[2345].start |
12805.96221875 |
transcript.pyannote[2345].end |
12814.26471875 |
transcript.pyannote[2346].speaker |
SPEAKER_27 |
transcript.pyannote[2346].start |
12806.33346875 |
transcript.pyannote[2346].end |
12806.73846875 |
transcript.pyannote[2347].speaker |
SPEAKER_27 |
transcript.pyannote[2347].start |
12813.11721875 |
transcript.pyannote[2347].end |
12815.24346875 |
transcript.pyannote[2348].speaker |
SPEAKER_27 |
transcript.pyannote[2348].start |
12815.76659375 |
transcript.pyannote[2348].end |
12818.68596875 |
transcript.pyannote[2349].speaker |
SPEAKER_27 |
transcript.pyannote[2349].start |
12819.52971875 |
transcript.pyannote[2349].end |
12821.90909375 |
transcript.pyannote[2350].speaker |
SPEAKER_05 |
transcript.pyannote[2350].start |
12823.37721875 |
transcript.pyannote[2350].end |
12824.77784375 |
transcript.pyannote[2351].speaker |
SPEAKER_27 |
transcript.pyannote[2351].start |
12828.15284375 |
transcript.pyannote[2351].end |
12832.60784375 |
transcript.pyannote[2352].speaker |
SPEAKER_27 |
transcript.pyannote[2352].start |
12833.18159375 |
transcript.pyannote[2352].end |
12836.64096875 |
transcript.pyannote[2353].speaker |
SPEAKER_27 |
transcript.pyannote[2353].start |
12837.02909375 |
transcript.pyannote[2353].end |
12841.31534375 |
transcript.pyannote[2354].speaker |
SPEAKER_27 |
transcript.pyannote[2354].start |
12841.61909375 |
transcript.pyannote[2354].end |
12843.59346875 |
transcript.pyannote[2355].speaker |
SPEAKER_27 |
transcript.pyannote[2355].start |
12844.13346875 |
transcript.pyannote[2355].end |
12846.46221875 |
transcript.pyannote[2356].speaker |
SPEAKER_27 |
transcript.pyannote[2356].start |
12846.66471875 |
transcript.pyannote[2356].end |
12847.72784375 |
transcript.pyannote[2357].speaker |
SPEAKER_27 |
transcript.pyannote[2357].start |
12848.41971875 |
transcript.pyannote[2357].end |
12850.54596875 |
transcript.pyannote[2358].speaker |
SPEAKER_00 |
transcript.pyannote[2358].start |
12851.10284375 |
transcript.pyannote[2358].end |
12851.82846875 |
transcript.pyannote[2359].speaker |
SPEAKER_27 |
transcript.pyannote[2359].start |
12851.82846875 |
transcript.pyannote[2359].end |
12852.95909375 |
transcript.pyannote[2360].speaker |
SPEAKER_00 |
transcript.pyannote[2360].start |
12853.31346875 |
transcript.pyannote[2360].end |
12854.19096875 |
transcript.pyannote[2361].speaker |
SPEAKER_27 |
transcript.pyannote[2361].start |
12854.35971875 |
transcript.pyannote[2361].end |
12855.08534375 |
transcript.pyannote[2362].speaker |
SPEAKER_00 |
transcript.pyannote[2362].start |
12855.06846875 |
transcript.pyannote[2362].end |
12855.20346875 |
transcript.pyannote[2363].speaker |
SPEAKER_27 |
transcript.pyannote[2363].start |
12856.04721875 |
transcript.pyannote[2363].end |
12856.33409375 |
transcript.pyannote[2364].speaker |
SPEAKER_27 |
transcript.pyannote[2364].start |
12857.02596875 |
transcript.pyannote[2364].end |
12858.46034375 |
transcript.pyannote[2365].speaker |
SPEAKER_27 |
transcript.pyannote[2365].start |
12858.76409375 |
transcript.pyannote[2365].end |
12861.58221875 |
transcript.pyannote[2366].speaker |
SPEAKER_27 |
transcript.pyannote[2366].start |
12861.85221875 |
transcript.pyannote[2366].end |
12867.94409375 |
transcript.pyannote[2367].speaker |
SPEAKER_27 |
transcript.pyannote[2367].start |
12868.26471875 |
transcript.pyannote[2367].end |
12870.28971875 |
transcript.pyannote[2368].speaker |
SPEAKER_27 |
transcript.pyannote[2368].start |
12870.44159375 |
transcript.pyannote[2368].end |
12872.01096875 |
transcript.pyannote[2369].speaker |
SPEAKER_27 |
transcript.pyannote[2369].start |
12872.31471875 |
transcript.pyannote[2369].end |
12873.76596875 |
transcript.pyannote[2370].speaker |
SPEAKER_11 |
transcript.pyannote[2370].start |
12874.10346875 |
transcript.pyannote[2370].end |
12877.20846875 |
transcript.pyannote[2371].speaker |
SPEAKER_27 |
transcript.pyannote[2371].start |
12877.03971875 |
transcript.pyannote[2371].end |
12878.44034375 |
transcript.pyannote[2372].speaker |
SPEAKER_27 |
transcript.pyannote[2372].start |
12879.41909375 |
transcript.pyannote[2372].end |
12880.92096875 |
transcript.pyannote[2373].speaker |
SPEAKER_27 |
transcript.pyannote[2373].start |
12881.59596875 |
transcript.pyannote[2373].end |
12884.11034375 |
transcript.pyannote[2374].speaker |
SPEAKER_27 |
transcript.pyannote[2374].start |
12884.61659375 |
transcript.pyannote[2374].end |
12888.27846875 |
transcript.pyannote[2375].speaker |
SPEAKER_27 |
transcript.pyannote[2375].start |
12888.63284375 |
transcript.pyannote[2375].end |
12893.13846875 |
transcript.pyannote[2376].speaker |
SPEAKER_11 |
transcript.pyannote[2376].start |
12892.66596875 |
transcript.pyannote[2376].end |
12897.59346875 |
transcript.pyannote[2377].speaker |
SPEAKER_27 |
transcript.pyannote[2377].start |
12897.47534375 |
transcript.pyannote[2377].end |
12901.20471875 |
transcript.pyannote[2378].speaker |
SPEAKER_27 |
transcript.pyannote[2378].start |
12901.62659375 |
transcript.pyannote[2378].end |
12903.65159375 |
transcript.pyannote[2379].speaker |
SPEAKER_27 |
transcript.pyannote[2379].start |
12904.00596875 |
transcript.pyannote[2379].end |
12909.99659375 |
transcript.pyannote[2380].speaker |
SPEAKER_27 |
transcript.pyannote[2380].start |
12910.41846875 |
transcript.pyannote[2380].end |
12912.74721875 |
transcript.pyannote[2381].speaker |
SPEAKER_27 |
transcript.pyannote[2381].start |
12912.88221875 |
transcript.pyannote[2381].end |
12913.86096875 |
transcript.pyannote[2382].speaker |
SPEAKER_22 |
transcript.pyannote[2382].start |
12913.45596875 |
transcript.pyannote[2382].end |
12913.79346875 |
transcript.pyannote[2383].speaker |
SPEAKER_22 |
transcript.pyannote[2383].start |
12913.86096875 |
transcript.pyannote[2383].end |
12913.96221875 |
transcript.pyannote[2384].speaker |
SPEAKER_27 |
transcript.pyannote[2384].start |
12913.96221875 |
transcript.pyannote[2384].end |
12916.03784375 |
transcript.pyannote[2385].speaker |
SPEAKER_22 |
transcript.pyannote[2385].start |
12914.13096875 |
transcript.pyannote[2385].end |
12914.67096875 |
transcript.pyannote[2386].speaker |
SPEAKER_22 |
transcript.pyannote[2386].start |
12915.10971875 |
transcript.pyannote[2386].end |
12915.59909375 |
transcript.pyannote[2387].speaker |
SPEAKER_27 |
transcript.pyannote[2387].start |
12916.45971875 |
transcript.pyannote[2387].end |
12919.14284375 |
transcript.pyannote[2388].speaker |
SPEAKER_27 |
transcript.pyannote[2388].start |
12919.68284375 |
transcript.pyannote[2388].end |
12921.35346875 |
transcript.pyannote[2389].speaker |
SPEAKER_27 |
transcript.pyannote[2389].start |
12922.28159375 |
transcript.pyannote[2389].end |
12924.05346875 |
transcript.pyannote[2390].speaker |
SPEAKER_22 |
transcript.pyannote[2390].start |
12923.02409375 |
transcript.pyannote[2390].end |
12923.04096875 |
transcript.pyannote[2391].speaker |
SPEAKER_27 |
transcript.pyannote[2391].start |
12925.20096875 |
transcript.pyannote[2391].end |
12927.71534375 |
transcript.pyannote[2392].speaker |
SPEAKER_27 |
transcript.pyannote[2392].start |
12928.06971875 |
transcript.pyannote[2392].end |
12929.74034375 |
transcript.pyannote[2393].speaker |
SPEAKER_27 |
transcript.pyannote[2393].start |
12930.43221875 |
transcript.pyannote[2393].end |
12934.12784375 |
transcript.pyannote[2394].speaker |
SPEAKER_22 |
transcript.pyannote[2394].start |
12934.33034375 |
transcript.pyannote[2394].end |
12934.60034375 |
transcript.pyannote[2395].speaker |
SPEAKER_27 |
transcript.pyannote[2395].start |
12934.58346875 |
transcript.pyannote[2395].end |
12944.94471875 |
transcript.pyannote[2396].speaker |
SPEAKER_22 |
transcript.pyannote[2396].start |
12938.85284375 |
transcript.pyannote[2396].end |
12939.42659375 |
transcript.pyannote[2397].speaker |
SPEAKER_27 |
transcript.pyannote[2397].start |
12945.40034375 |
transcript.pyannote[2397].end |
12949.61909375 |
transcript.pyannote[2398].speaker |
SPEAKER_06 |
transcript.pyannote[2398].start |
12949.61909375 |
transcript.pyannote[2398].end |
12949.92284375 |
transcript.pyannote[2399].speaker |
SPEAKER_27 |
transcript.pyannote[2399].start |
12949.92284375 |
transcript.pyannote[2399].end |
12952.74096875 |
transcript.pyannote[2400].speaker |
SPEAKER_27 |
transcript.pyannote[2400].start |
12953.12909375 |
transcript.pyannote[2400].end |
12956.84159375 |
transcript.pyannote[2401].speaker |
SPEAKER_16 |
transcript.pyannote[2401].start |
12953.26409375 |
transcript.pyannote[2401].end |
12953.43284375 |
transcript.pyannote[2402].speaker |
SPEAKER_16 |
transcript.pyannote[2402].start |
12956.21721875 |
transcript.pyannote[2402].end |
12959.81159375 |
transcript.pyannote[2403].speaker |
SPEAKER_27 |
transcript.pyannote[2403].start |
12958.93409375 |
transcript.pyannote[2403].end |
12958.98471875 |
transcript.pyannote[2404].speaker |
SPEAKER_27 |
transcript.pyannote[2404].start |
12959.84534375 |
transcript.pyannote[2404].end |
12963.99659375 |
transcript.pyannote[2405].speaker |
SPEAKER_16 |
transcript.pyannote[2405].start |
12961.53284375 |
transcript.pyannote[2405].end |
12961.56659375 |
transcript.pyannote[2406].speaker |
SPEAKER_27 |
transcript.pyannote[2406].start |
12964.70534375 |
transcript.pyannote[2406].end |
12966.27471875 |
transcript.pyannote[2407].speaker |
SPEAKER_27 |
transcript.pyannote[2407].start |
12967.18596875 |
transcript.pyannote[2407].end |
12971.52284375 |
transcript.pyannote[2408].speaker |
SPEAKER_27 |
transcript.pyannote[2408].start |
12972.13034375 |
transcript.pyannote[2408].end |
12974.07096875 |
transcript.pyannote[2409].speaker |
SPEAKER_27 |
transcript.pyannote[2409].start |
12974.91471875 |
transcript.pyannote[2409].end |
12976.45034375 |
transcript.pyannote[2410].speaker |
SPEAKER_27 |
transcript.pyannote[2410].start |
12977.74971875 |
transcript.pyannote[2410].end |
12980.16284375 |
transcript.pyannote[2411].speaker |
SPEAKER_27 |
transcript.pyannote[2411].start |
12980.85471875 |
transcript.pyannote[2411].end |
12984.43221875 |
transcript.pyannote[2412].speaker |
SPEAKER_27 |
transcript.pyannote[2412].start |
12984.58409375 |
transcript.pyannote[2412].end |
12990.27096875 |
transcript.pyannote[2413].speaker |
SPEAKER_27 |
transcript.pyannote[2413].start |
12990.47346875 |
transcript.pyannote[2413].end |
12992.92034375 |
transcript.pyannote[2414].speaker |
SPEAKER_27 |
transcript.pyannote[2414].start |
12993.29159375 |
transcript.pyannote[2414].end |
12997.17284375 |
transcript.pyannote[2415].speaker |
SPEAKER_27 |
transcript.pyannote[2415].start |
12997.89846875 |
transcript.pyannote[2415].end |
12999.65346875 |
transcript.pyannote[2416].speaker |
SPEAKER_27 |
transcript.pyannote[2416].start |
13000.05846875 |
transcript.pyannote[2416].end |
13001.67846875 |
transcript.pyannote[2417].speaker |
SPEAKER_27 |
transcript.pyannote[2417].start |
13002.43784375 |
transcript.pyannote[2417].end |
13004.31096875 |
transcript.pyannote[2418].speaker |
SPEAKER_27 |
transcript.pyannote[2418].start |
13004.69909375 |
transcript.pyannote[2418].end |
13006.87596875 |
transcript.pyannote[2419].speaker |
SPEAKER_27 |
transcript.pyannote[2419].start |
13007.71971875 |
transcript.pyannote[2419].end |
13010.50409375 |
transcript.pyannote[2420].speaker |
SPEAKER_27 |
transcript.pyannote[2420].start |
13011.21284375 |
transcript.pyannote[2420].end |
13012.88346875 |
transcript.pyannote[2421].speaker |
SPEAKER_27 |
transcript.pyannote[2421].start |
13014.35159375 |
transcript.pyannote[2421].end |
13018.41846875 |
transcript.pyannote[2422].speaker |
SPEAKER_27 |
transcript.pyannote[2422].start |
13018.82346875 |
transcript.pyannote[2422].end |
13020.61221875 |
transcript.pyannote[2423].speaker |
SPEAKER_27 |
transcript.pyannote[2423].start |
13021.15221875 |
transcript.pyannote[2423].end |
13022.18159375 |
transcript.pyannote[2424].speaker |
SPEAKER_27 |
transcript.pyannote[2424].start |
13023.14346875 |
transcript.pyannote[2424].end |
13024.12221875 |
transcript.pyannote[2425].speaker |
SPEAKER_27 |
transcript.pyannote[2425].start |
13025.03346875 |
transcript.pyannote[2425].end |
13026.41721875 |
transcript.pyannote[2426].speaker |
SPEAKER_27 |
transcript.pyannote[2426].start |
13027.10909375 |
transcript.pyannote[2426].end |
13028.59409375 |
transcript.pyannote[2427].speaker |
SPEAKER_27 |
transcript.pyannote[2427].start |
13029.06659375 |
transcript.pyannote[2427].end |
13031.91846875 |
transcript.pyannote[2428].speaker |
SPEAKER_27 |
transcript.pyannote[2428].start |
13032.28971875 |
transcript.pyannote[2428].end |
13033.36971875 |
transcript.pyannote[2429].speaker |
SPEAKER_27 |
transcript.pyannote[2429].start |
13034.07846875 |
transcript.pyannote[2429].end |
13037.26784375 |
transcript.pyannote[2430].speaker |
SPEAKER_27 |
transcript.pyannote[2430].start |
13037.70659375 |
transcript.pyannote[2430].end |
13043.74784375 |
transcript.pyannote[2431].speaker |
SPEAKER_27 |
transcript.pyannote[2431].start |
13044.32159375 |
transcript.pyannote[2431].end |
13048.75971875 |
transcript.pyannote[2432].speaker |
SPEAKER_27 |
transcript.pyannote[2432].start |
13049.09721875 |
transcript.pyannote[2432].end |
13051.89846875 |
transcript.pyannote[2433].speaker |
SPEAKER_27 |
transcript.pyannote[2433].start |
13052.57346875 |
transcript.pyannote[2433].end |
13053.21471875 |
transcript.pyannote[2434].speaker |
SPEAKER_27 |
transcript.pyannote[2434].start |
13054.07534375 |
transcript.pyannote[2434].end |
13055.03721875 |
transcript.pyannote[2435].speaker |
SPEAKER_27 |
transcript.pyannote[2435].start |
13055.34096875 |
transcript.pyannote[2435].end |
13056.87659375 |
transcript.pyannote[2436].speaker |
SPEAKER_27 |
transcript.pyannote[2436].start |
13057.36596875 |
transcript.pyannote[2436].end |
13058.78346875 |
transcript.pyannote[2437].speaker |
SPEAKER_27 |
transcript.pyannote[2437].start |
13059.28971875 |
transcript.pyannote[2437].end |
13061.73659375 |
transcript.pyannote[2438].speaker |
SPEAKER_27 |
transcript.pyannote[2438].start |
13062.73221875 |
transcript.pyannote[2438].end |
13065.85409375 |
transcript.pyannote[2439].speaker |
SPEAKER_27 |
transcript.pyannote[2439].start |
13066.34346875 |
transcript.pyannote[2439].end |
13067.92971875 |
transcript.pyannote[2440].speaker |
SPEAKER_27 |
transcript.pyannote[2440].start |
13068.99284375 |
transcript.pyannote[2440].end |
13071.16971875 |
transcript.pyannote[2441].speaker |
SPEAKER_27 |
transcript.pyannote[2441].start |
13072.35096875 |
transcript.pyannote[2441].end |
13076.23221875 |
transcript.pyannote[2442].speaker |
SPEAKER_27 |
transcript.pyannote[2442].start |
13076.33346875 |
transcript.pyannote[2442].end |
13079.65784375 |
transcript.pyannote[2443].speaker |
SPEAKER_27 |
transcript.pyannote[2443].start |
13080.56909375 |
transcript.pyannote[2443].end |
13083.03284375 |
transcript.pyannote[2444].speaker |
SPEAKER_27 |
transcript.pyannote[2444].start |
13083.31971875 |
transcript.pyannote[2444].end |
13088.23034375 |
transcript.pyannote[2445].speaker |
SPEAKER_27 |
transcript.pyannote[2445].start |
13088.71971875 |
transcript.pyannote[2445].end |
13089.83346875 |
transcript.pyannote[2446].speaker |
SPEAKER_27 |
transcript.pyannote[2446].start |
13090.40721875 |
transcript.pyannote[2446].end |
13095.97596875 |
transcript.pyannote[2447].speaker |
SPEAKER_07 |
transcript.pyannote[2447].start |
13095.97596875 |
transcript.pyannote[2447].end |
13102.59096875 |
transcript.pyannote[2448].speaker |
SPEAKER_27 |
transcript.pyannote[2448].start |
13100.05971875 |
transcript.pyannote[2448].end |
13100.56596875 |
transcript.pyannote[2449].speaker |
SPEAKER_27 |
transcript.pyannote[2449].start |
13101.22409375 |
transcript.pyannote[2449].end |
13103.65409375 |
transcript.pyannote[2450].speaker |
SPEAKER_27 |
transcript.pyannote[2450].start |
13104.49784375 |
transcript.pyannote[2450].end |
13106.50596875 |
transcript.pyannote[2451].speaker |
SPEAKER_27 |
transcript.pyannote[2451].start |
13107.36659375 |
transcript.pyannote[2451].end |
13110.87659375 |
transcript.pyannote[2452].speaker |
SPEAKER_27 |
transcript.pyannote[2452].start |
13111.26471875 |
transcript.pyannote[2452].end |
13114.43721875 |
transcript.pyannote[2453].speaker |
SPEAKER_27 |
transcript.pyannote[2453].start |
13114.97721875 |
transcript.pyannote[2453].end |
13116.81659375 |
transcript.pyannote[2454].speaker |
SPEAKER_27 |
transcript.pyannote[2454].start |
13117.74471875 |
transcript.pyannote[2454].end |
13119.55034375 |
transcript.pyannote[2455].speaker |
SPEAKER_27 |
transcript.pyannote[2455].start |
13120.44471875 |
transcript.pyannote[2455].end |
13122.41909375 |
transcript.pyannote[2456].speaker |
SPEAKER_27 |
transcript.pyannote[2456].start |
13122.94221875 |
transcript.pyannote[2456].end |
13126.35096875 |
transcript.pyannote[2457].speaker |
SPEAKER_27 |
transcript.pyannote[2457].start |
13126.89096875 |
transcript.pyannote[2457].end |
13129.18596875 |
transcript.pyannote[2458].speaker |
SPEAKER_27 |
transcript.pyannote[2458].start |
13129.79346875 |
transcript.pyannote[2458].end |
13132.47659375 |
transcript.pyannote[2459].speaker |
SPEAKER_07 |
transcript.pyannote[2459].start |
13131.76784375 |
transcript.pyannote[2459].end |
13137.04971875 |
transcript.pyannote[2460].speaker |
SPEAKER_27 |
transcript.pyannote[2460].start |
13137.08346875 |
transcript.pyannote[2460].end |
13142.83784375 |
transcript.pyannote[2461].speaker |
SPEAKER_27 |
transcript.pyannote[2461].start |
13143.14159375 |
transcript.pyannote[2461].end |
13144.60971875 |
transcript.pyannote[2462].speaker |
SPEAKER_27 |
transcript.pyannote[2462].start |
13145.18346875 |
transcript.pyannote[2462].end |
13145.85846875 |
transcript.pyannote[2463].speaker |
SPEAKER_27 |
transcript.pyannote[2463].start |
13146.93846875 |
transcript.pyannote[2463].end |
13149.87471875 |
transcript.pyannote[2464].speaker |
SPEAKER_27 |
transcript.pyannote[2464].start |
13150.44846875 |
transcript.pyannote[2464].end |
13152.55784375 |
transcript.pyannote[2465].speaker |
SPEAKER_27 |
transcript.pyannote[2465].start |
13152.82784375 |
transcript.pyannote[2465].end |
13154.11034375 |
transcript.pyannote[2466].speaker |
SPEAKER_27 |
transcript.pyannote[2466].start |
13154.59971875 |
transcript.pyannote[2466].end |
13156.47284375 |
transcript.pyannote[2467].speaker |
SPEAKER_27 |
transcript.pyannote[2467].start |
13156.92846875 |
transcript.pyannote[2467].end |
13157.97471875 |
transcript.pyannote[2468].speaker |
SPEAKER_07 |
transcript.pyannote[2468].start |
13157.97471875 |
transcript.pyannote[2468].end |
13158.00846875 |
transcript.pyannote[2469].speaker |
SPEAKER_27 |
transcript.pyannote[2469].start |
13159.05471875 |
transcript.pyannote[2469].end |
13159.07159375 |
transcript.pyannote[2470].speaker |
SPEAKER_07 |
transcript.pyannote[2470].start |
13159.07159375 |
transcript.pyannote[2470].end |
13162.88534375 |
transcript.pyannote[2471].speaker |
SPEAKER_27 |
transcript.pyannote[2471].start |
13161.80534375 |
transcript.pyannote[2471].end |
13162.42971875 |
transcript.pyannote[2472].speaker |
SPEAKER_27 |
transcript.pyannote[2472].start |
13162.88534375 |
transcript.pyannote[2472].end |
13162.98659375 |
transcript.pyannote[2473].speaker |
SPEAKER_07 |
transcript.pyannote[2473].start |
13162.98659375 |
transcript.pyannote[2473].end |
13163.00346875 |
transcript.pyannote[2474].speaker |
SPEAKER_27 |
transcript.pyannote[2474].start |
13163.00346875 |
transcript.pyannote[2474].end |
13163.02034375 |
transcript.pyannote[2475].speaker |
SPEAKER_07 |
transcript.pyannote[2475].start |
13163.62784375 |
transcript.pyannote[2475].end |
13168.58909375 |
transcript.pyannote[2476].speaker |
SPEAKER_27 |
transcript.pyannote[2476].start |
13164.30284375 |
transcript.pyannote[2476].end |
13165.14659375 |
transcript.pyannote[2477].speaker |
SPEAKER_27 |
transcript.pyannote[2477].start |
13165.73721875 |
transcript.pyannote[2477].end |
13166.22659375 |
transcript.pyannote[2478].speaker |
SPEAKER_27 |
transcript.pyannote[2478].start |
13167.32346875 |
transcript.pyannote[2478].end |
13175.35596875 |
transcript.pyannote[2479].speaker |
SPEAKER_07 |
transcript.pyannote[2479].start |
13169.44971875 |
transcript.pyannote[2479].end |
13172.82471875 |
transcript.pyannote[2480].speaker |
SPEAKER_07 |
transcript.pyannote[2480].start |
13172.90909375 |
transcript.pyannote[2480].end |
13172.97659375 |
transcript.pyannote[2481].speaker |
SPEAKER_05 |
transcript.pyannote[2481].start |
13175.45721875 |
transcript.pyannote[2481].end |
13178.54534375 |
transcript.pyannote[2482].speaker |
SPEAKER_05 |
transcript.pyannote[2482].start |
13179.06846875 |
transcript.pyannote[2482].end |
13181.48159375 |
transcript.pyannote[2483].speaker |
SPEAKER_29 |
transcript.pyannote[2483].start |
13189.31159375 |
transcript.pyannote[2483].end |
13191.85971875 |
transcript.pyannote[2484].speaker |
SPEAKER_29 |
transcript.pyannote[2484].start |
13191.94409375 |
transcript.pyannote[2484].end |
13193.27721875 |
transcript.pyannote[2485].speaker |
SPEAKER_20 |
transcript.pyannote[2485].start |
13200.56721875 |
transcript.pyannote[2485].end |
13201.07346875 |
transcript.pyannote[2486].speaker |
SPEAKER_29 |
transcript.pyannote[2486].start |
13201.07346875 |
transcript.pyannote[2486].end |
13212.75096875 |
transcript.pyannote[2487].speaker |
SPEAKER_07 |
transcript.pyannote[2487].start |
13212.75096875 |
transcript.pyannote[2487].end |
13213.61159375 |
transcript.pyannote[2488].speaker |
SPEAKER_29 |
transcript.pyannote[2488].start |
13213.61159375 |
transcript.pyannote[2488].end |
13213.96596875 |
transcript.pyannote[2489].speaker |
SPEAKER_07 |
transcript.pyannote[2489].start |
13214.42159375 |
transcript.pyannote[2489].end |
13217.54346875 |
transcript.pyannote[2490].speaker |
SPEAKER_29 |
transcript.pyannote[2490].start |
13216.04159375 |
transcript.pyannote[2490].end |
13216.71659375 |
transcript.pyannote[2491].speaker |
SPEAKER_29 |
transcript.pyannote[2491].start |
13217.54346875 |
transcript.pyannote[2491].end |
13226.80784375 |
transcript.pyannote[2492].speaker |
SPEAKER_07 |
transcript.pyannote[2492].start |
13227.29721875 |
transcript.pyannote[2492].end |
13228.27596875 |
transcript.pyannote[2493].speaker |
SPEAKER_29 |
transcript.pyannote[2493].start |
13228.27596875 |
transcript.pyannote[2493].end |
13238.78909375 |
transcript.pyannote[2494].speaker |
SPEAKER_07 |
transcript.pyannote[2494].start |
13240.37534375 |
transcript.pyannote[2494].end |
13241.21909375 |
transcript.pyannote[2495].speaker |
SPEAKER_29 |
transcript.pyannote[2495].start |
13241.65784375 |
transcript.pyannote[2495].end |
13243.09221875 |
transcript.pyannote[2496].speaker |
SPEAKER_07 |
transcript.pyannote[2496].start |
13242.90659375 |
transcript.pyannote[2496].end |
13244.32409375 |
transcript.pyannote[2497].speaker |
SPEAKER_29 |
transcript.pyannote[2497].start |
13244.32409375 |
transcript.pyannote[2497].end |
13265.33346875 |
transcript.pyannote[2498].speaker |
SPEAKER_07 |
transcript.pyannote[2498].start |
13265.95784375 |
transcript.pyannote[2498].end |
13268.26971875 |
transcript.pyannote[2499].speaker |
SPEAKER_29 |
transcript.pyannote[2499].start |
13268.26971875 |
transcript.pyannote[2499].end |
13269.50159375 |
transcript.pyannote[2500].speaker |
SPEAKER_07 |
transcript.pyannote[2500].start |
13269.50159375 |
transcript.pyannote[2500].end |
13271.52659375 |
transcript.pyannote[2501].speaker |
SPEAKER_29 |
transcript.pyannote[2501].start |
13270.39596875 |
transcript.pyannote[2501].end |
13271.08784375 |
transcript.pyannote[2502].speaker |
SPEAKER_29 |
transcript.pyannote[2502].start |
13271.29034375 |
transcript.pyannote[2502].end |
13276.47096875 |
transcript.pyannote[2503].speaker |
SPEAKER_07 |
transcript.pyannote[2503].start |
13273.78784375 |
transcript.pyannote[2503].end |
13277.39909375 |
transcript.pyannote[2504].speaker |
SPEAKER_29 |
transcript.pyannote[2504].start |
13276.48784375 |
transcript.pyannote[2504].end |
13276.50471875 |
transcript.pyannote[2505].speaker |
SPEAKER_29 |
transcript.pyannote[2505].start |
13276.57221875 |
transcript.pyannote[2505].end |
13288.99221875 |
transcript.pyannote[2506].speaker |
SPEAKER_22 |
transcript.pyannote[2506].start |
13287.52409375 |
transcript.pyannote[2506].end |
13287.65909375 |
transcript.pyannote[2507].speaker |
SPEAKER_00 |
transcript.pyannote[2507].start |
13287.65909375 |
transcript.pyannote[2507].end |
13287.67596875 |
transcript.pyannote[2508].speaker |
SPEAKER_29 |
transcript.pyannote[2508].start |
13289.85284375 |
transcript.pyannote[2508].end |
13300.53471875 |
transcript.pyannote[2509].speaker |
SPEAKER_29 |
transcript.pyannote[2509].start |
13300.87221875 |
transcript.pyannote[2509].end |
13301.69909375 |
transcript.pyannote[2510].speaker |
SPEAKER_29 |
transcript.pyannote[2510].start |
13302.18846875 |
transcript.pyannote[2510].end |
13318.69221875 |
transcript.pyannote[2511].speaker |
SPEAKER_07 |
transcript.pyannote[2511].start |
13317.66284375 |
transcript.pyannote[2511].end |
13318.99596875 |
transcript.pyannote[2512].speaker |
SPEAKER_29 |
transcript.pyannote[2512].start |
13319.02971875 |
transcript.pyannote[2512].end |
13330.62284375 |
transcript.pyannote[2513].speaker |
SPEAKER_07 |
transcript.pyannote[2513].start |
13327.93971875 |
transcript.pyannote[2513].end |
13329.18846875 |
transcript.pyannote[2514].speaker |
SPEAKER_29 |
transcript.pyannote[2514].start |
13331.11221875 |
transcript.pyannote[2514].end |
13337.18721875 |
transcript.pyannote[2515].speaker |
SPEAKER_22 |
transcript.pyannote[2515].start |
13337.15346875 |
transcript.pyannote[2515].end |
13337.17034375 |
transcript.pyannote[2516].speaker |
SPEAKER_22 |
transcript.pyannote[2516].start |
13337.18721875 |
transcript.pyannote[2516].end |
13337.54159375 |
transcript.pyannote[2517].speaker |
SPEAKER_29 |
transcript.pyannote[2517].start |
13337.54159375 |
transcript.pyannote[2517].end |
13337.55846875 |
transcript.pyannote[2518].speaker |
SPEAKER_29 |
transcript.pyannote[2518].start |
13337.72721875 |
transcript.pyannote[2518].end |
13347.14346875 |
transcript.pyannote[2519].speaker |
SPEAKER_07 |
transcript.pyannote[2519].start |
13347.14346875 |
transcript.pyannote[2519].end |
13348.02096875 |
transcript.pyannote[2520].speaker |
SPEAKER_29 |
transcript.pyannote[2520].start |
13347.78471875 |
transcript.pyannote[2520].end |
13371.69659375 |
transcript.pyannote[2521].speaker |
SPEAKER_07 |
transcript.pyannote[2521].start |
13371.93284375 |
transcript.pyannote[2521].end |
13405.29471875 |
transcript.pyannote[2522].speaker |
SPEAKER_29 |
transcript.pyannote[2522].start |
13374.09284375 |
transcript.pyannote[2522].end |
13374.26159375 |
transcript.pyannote[2523].speaker |
SPEAKER_13 |
transcript.pyannote[2523].start |
13383.10409375 |
transcript.pyannote[2523].end |
13384.04909375 |
transcript.pyannote[2524].speaker |
SPEAKER_13 |
transcript.pyannote[2524].start |
13390.78221875 |
transcript.pyannote[2524].end |
13391.08596875 |
transcript.pyannote[2525].speaker |
SPEAKER_00 |
transcript.pyannote[2525].start |
13391.08596875 |
transcript.pyannote[2525].end |
13391.11971875 |
transcript.pyannote[2526].speaker |
SPEAKER_29 |
transcript.pyannote[2526].start |
13402.96596875 |
transcript.pyannote[2526].end |
13424.27909375 |
transcript.pyannote[2527].speaker |
SPEAKER_29 |
transcript.pyannote[2527].start |
13424.34659375 |
transcript.pyannote[2527].end |
13435.02846875 |
transcript.pyannote[2528].speaker |
SPEAKER_07 |
transcript.pyannote[2528].start |
13435.97346875 |
transcript.pyannote[2528].end |
13437.01971875 |
transcript.pyannote[2529].speaker |
SPEAKER_07 |
transcript.pyannote[2529].start |
13437.23909375 |
transcript.pyannote[2529].end |
13469.04846875 |
transcript.pyannote[2530].speaker |
SPEAKER_29 |
transcript.pyannote[2530].start |
13439.23034375 |
transcript.pyannote[2530].end |
13439.55096875 |
transcript.pyannote[2531].speaker |
SPEAKER_05 |
transcript.pyannote[2531].start |
13443.14534375 |
transcript.pyannote[2531].end |
13443.46596875 |
transcript.pyannote[2532].speaker |
SPEAKER_00 |
transcript.pyannote[2532].start |
13456.78034375 |
transcript.pyannote[2532].end |
13458.90659375 |
transcript.pyannote[2533].speaker |
SPEAKER_07 |
transcript.pyannote[2533].start |
13469.68971875 |
transcript.pyannote[2533].end |
13471.24221875 |
transcript.pyannote[2534].speaker |
SPEAKER_29 |
transcript.pyannote[2534].start |
13472.27159375 |
transcript.pyannote[2534].end |
13486.26096875 |
transcript.pyannote[2535].speaker |
SPEAKER_07 |
transcript.pyannote[2535].start |
13486.68284375 |
transcript.pyannote[2535].end |
13498.17471875 |
transcript.pyannote[2536].speaker |
SPEAKER_29 |
transcript.pyannote[2536].start |
13498.17471875 |
transcript.pyannote[2536].end |
13510.03784375 |
transcript.pyannote[2537].speaker |
SPEAKER_29 |
transcript.pyannote[2537].start |
13510.22346875 |
transcript.pyannote[2537].end |
13512.18096875 |
transcript.pyannote[2538].speaker |
SPEAKER_05 |
transcript.pyannote[2538].start |
13512.18096875 |
transcript.pyannote[2538].end |
13512.24846875 |
transcript.pyannote[2539].speaker |
SPEAKER_16 |
transcript.pyannote[2539].start |
13522.52534375 |
transcript.pyannote[2539].end |
13523.03159375 |
transcript.pyannote[2540].speaker |
SPEAKER_10 |
transcript.pyannote[2540].start |
13523.03159375 |
transcript.pyannote[2540].end |
13523.08221875 |
transcript.pyannote[2541].speaker |
SPEAKER_29 |
transcript.pyannote[2541].start |
13523.08221875 |
transcript.pyannote[2541].end |
13536.58221875 |
transcript.pyannote[2542].speaker |
SPEAKER_29 |
transcript.pyannote[2542].start |
13536.64971875 |
transcript.pyannote[2542].end |
13573.43721875 |
transcript.pyannote[2543].speaker |
SPEAKER_29 |
transcript.pyannote[2543].start |
13574.36534375 |
transcript.pyannote[2543].end |
13582.80284375 |
transcript.pyannote[2544].speaker |
SPEAKER_29 |
transcript.pyannote[2544].start |
13583.19096875 |
transcript.pyannote[2544].end |
13591.64534375 |
transcript.pyannote[2545].speaker |
SPEAKER_16 |
transcript.pyannote[2545].start |
13592.30346875 |
transcript.pyannote[2545].end |
13607.55846875 |
transcript.pyannote[2546].speaker |
SPEAKER_29 |
transcript.pyannote[2546].start |
13599.82971875 |
transcript.pyannote[2546].end |
13599.84659375 |
transcript.pyannote[2547].speaker |
SPEAKER_22 |
transcript.pyannote[2547].start |
13599.84659375 |
transcript.pyannote[2547].end |
13600.26846875 |
transcript.pyannote[2548].speaker |
SPEAKER_22 |
transcript.pyannote[2548].start |
13601.16284375 |
transcript.pyannote[2548].end |
13601.46659375 |
transcript.pyannote[2549].speaker |
SPEAKER_16 |
transcript.pyannote[2549].start |
13607.57534375 |
transcript.pyannote[2549].end |
13611.11909375 |
transcript.pyannote[2550].speaker |
SPEAKER_16 |
transcript.pyannote[2550].start |
13611.27096875 |
transcript.pyannote[2550].end |
13622.42534375 |
transcript.pyannote[2551].speaker |
SPEAKER_29 |
transcript.pyannote[2551].start |
13616.13096875 |
transcript.pyannote[2551].end |
13616.62034375 |
transcript.pyannote[2552].speaker |
SPEAKER_29 |
transcript.pyannote[2552].start |
13622.76284375 |
transcript.pyannote[2552].end |
13633.22534375 |
transcript.pyannote[2553].speaker |
SPEAKER_29 |
transcript.pyannote[2553].start |
13633.68096875 |
transcript.pyannote[2553].end |
13652.66534375 |
transcript.pyannote[2554].speaker |
SPEAKER_16 |
transcript.pyannote[2554].start |
13653.37409375 |
transcript.pyannote[2554].end |
13662.87471875 |
transcript.pyannote[2555].speaker |
SPEAKER_16 |
transcript.pyannote[2555].start |
13662.94221875 |
transcript.pyannote[2555].end |
13664.84909375 |
transcript.pyannote[2556].speaker |
SPEAKER_16 |
transcript.pyannote[2556].start |
13665.00096875 |
transcript.pyannote[2556].end |
13666.99221875 |
transcript.pyannote[2557].speaker |
SPEAKER_16 |
transcript.pyannote[2557].start |
13667.24534375 |
transcript.pyannote[2557].end |
13668.94971875 |
transcript.pyannote[2558].speaker |
SPEAKER_16 |
transcript.pyannote[2558].start |
13669.27034375 |
transcript.pyannote[2558].end |
13670.82284375 |
transcript.pyannote[2559].speaker |
SPEAKER_16 |
transcript.pyannote[2559].start |
13671.05909375 |
transcript.pyannote[2559].end |
13706.04096875 |
transcript.pyannote[2560].speaker |
SPEAKER_29 |
transcript.pyannote[2560].start |
13706.41221875 |
transcript.pyannote[2560].end |
13714.14096875 |
transcript.pyannote[2561].speaker |
SPEAKER_16 |
transcript.pyannote[2561].start |
13710.52971875 |
transcript.pyannote[2561].end |
13710.59721875 |
transcript.pyannote[2562].speaker |
SPEAKER_21 |
transcript.pyannote[2562].start |
13713.97221875 |
transcript.pyannote[2562].end |
13713.98909375 |
transcript.pyannote[2563].speaker |
SPEAKER_16 |
transcript.pyannote[2563].start |
13713.98909375 |
transcript.pyannote[2563].end |
13714.07346875 |
transcript.pyannote[2564].speaker |
SPEAKER_16 |
transcript.pyannote[2564].start |
13714.14096875 |
transcript.pyannote[2564].end |
13714.96784375 |
transcript.pyannote[2565].speaker |
SPEAKER_21 |
transcript.pyannote[2565].start |
13714.96784375 |
transcript.pyannote[2565].end |
13715.62596875 |
transcript.pyannote[2566].speaker |
SPEAKER_05 |
transcript.pyannote[2566].start |
13715.62596875 |
transcript.pyannote[2566].end |
13715.65971875 |
transcript.pyannote[2567].speaker |
SPEAKER_29 |
transcript.pyannote[2567].start |
13715.65971875 |
transcript.pyannote[2567].end |
13715.87909375 |
transcript.pyannote[2568].speaker |
SPEAKER_05 |
transcript.pyannote[2568].start |
13715.67659375 |
transcript.pyannote[2568].end |
13718.52846875 |
transcript.pyannote[2569].speaker |
SPEAKER_05 |
transcript.pyannote[2569].start |
13718.59596875 |
transcript.pyannote[2569].end |
13721.32971875 |
transcript.pyannote[2570].speaker |
SPEAKER_23 |
transcript.pyannote[2570].start |
13736.50034375 |
transcript.pyannote[2570].end |
13738.59284375 |
transcript.pyannote[2571].speaker |
SPEAKER_05 |
transcript.pyannote[2571].start |
13738.72784375 |
transcript.pyannote[2571].end |
13740.07784375 |
transcript.pyannote[2572].speaker |
SPEAKER_05 |
transcript.pyannote[2572].start |
13745.69721875 |
transcript.pyannote[2572].end |
13745.71409375 |
transcript.pyannote[2573].speaker |
SPEAKER_20 |
transcript.pyannote[2573].start |
13745.71409375 |
transcript.pyannote[2573].end |
13746.13596875 |
transcript.pyannote[2574].speaker |
SPEAKER_23 |
transcript.pyannote[2574].start |
13746.42284375 |
transcript.pyannote[2574].end |
13749.76409375 |
transcript.pyannote[2575].speaker |
SPEAKER_23 |
transcript.pyannote[2575].start |
13750.11846875 |
transcript.pyannote[2575].end |
13756.31159375 |
transcript.pyannote[2576].speaker |
SPEAKER_23 |
transcript.pyannote[2576].start |
13756.56471875 |
transcript.pyannote[2576].end |
13763.70284375 |
transcript.pyannote[2577].speaker |
SPEAKER_23 |
transcript.pyannote[2577].start |
13763.73659375 |
transcript.pyannote[2577].end |
13780.91534375 |
transcript.pyannote[2578].speaker |
SPEAKER_23 |
transcript.pyannote[2578].start |
13781.11784375 |
transcript.pyannote[2578].end |
13790.16284375 |
transcript.pyannote[2579].speaker |
SPEAKER_23 |
transcript.pyannote[2579].start |
13790.44971875 |
transcript.pyannote[2579].end |
13794.70221875 |
transcript.pyannote[2580].speaker |
SPEAKER_07 |
transcript.pyannote[2580].start |
13795.51221875 |
transcript.pyannote[2580].end |
13796.54159375 |
transcript.pyannote[2581].speaker |
SPEAKER_07 |
transcript.pyannote[2581].start |
13798.00971875 |
transcript.pyannote[2581].end |
13799.93346875 |
transcript.pyannote[2582].speaker |
SPEAKER_07 |
transcript.pyannote[2582].start |
13800.22034375 |
transcript.pyannote[2582].end |
13807.35846875 |
transcript.pyannote[2583].speaker |
SPEAKER_23 |
transcript.pyannote[2583].start |
13802.85284375 |
transcript.pyannote[2583].end |
13803.15659375 |
transcript.pyannote[2584].speaker |
SPEAKER_00 |
transcript.pyannote[2584].start |
13803.15659375 |
transcript.pyannote[2584].end |
13803.25784375 |
transcript.pyannote[2585].speaker |
SPEAKER_22 |
transcript.pyannote[2585].start |
13806.02534375 |
transcript.pyannote[2585].end |
13806.36284375 |
transcript.pyannote[2586].speaker |
SPEAKER_00 |
transcript.pyannote[2586].start |
13806.36284375 |
transcript.pyannote[2586].end |
13806.46409375 |
transcript.pyannote[2587].speaker |
SPEAKER_07 |
transcript.pyannote[2587].start |
13807.72971875 |
transcript.pyannote[2587].end |
13822.86659375 |
transcript.pyannote[2588].speaker |
SPEAKER_22 |
transcript.pyannote[2588].start |
13818.79971875 |
transcript.pyannote[2588].end |
13818.81659375 |
transcript.pyannote[2589].speaker |
SPEAKER_23 |
transcript.pyannote[2589].start |
13818.81659375 |
transcript.pyannote[2589].end |
13819.20471875 |
transcript.pyannote[2590].speaker |
SPEAKER_23 |
transcript.pyannote[2590].start |
13820.90909375 |
transcript.pyannote[2590].end |
13827.65909375 |
transcript.pyannote[2591].speaker |
SPEAKER_07 |
transcript.pyannote[2591].start |
13826.15721875 |
transcript.pyannote[2591].end |
13827.16971875 |
transcript.pyannote[2592].speaker |
SPEAKER_07 |
transcript.pyannote[2592].start |
13828.89096875 |
transcript.pyannote[2592].end |
13831.55721875 |
transcript.pyannote[2593].speaker |
SPEAKER_23 |
transcript.pyannote[2593].start |
13830.44346875 |
transcript.pyannote[2593].end |
13830.46034375 |
transcript.pyannote[2594].speaker |
SPEAKER_24 |
transcript.pyannote[2594].start |
13830.46034375 |
transcript.pyannote[2594].end |
13830.62909375 |
transcript.pyannote[2595].speaker |
SPEAKER_23 |
transcript.pyannote[2595].start |
13830.62909375 |
transcript.pyannote[2595].end |
13830.64596875 |
transcript.pyannote[2596].speaker |
SPEAKER_24 |
transcript.pyannote[2596].start |
13831.62471875 |
transcript.pyannote[2596].end |
13861.15596875 |
transcript.pyannote[2597].speaker |
SPEAKER_00 |
transcript.pyannote[2597].start |
13843.04909375 |
transcript.pyannote[2597].end |
13843.67346875 |
transcript.pyannote[2598].speaker |
SPEAKER_23 |
transcript.pyannote[2598].start |
13860.29534375 |
transcript.pyannote[2598].end |
13861.79721875 |
transcript.pyannote[2599].speaker |
SPEAKER_24 |
transcript.pyannote[2599].start |
13862.18534375 |
transcript.pyannote[2599].end |
13862.65784375 |
transcript.pyannote[2600].speaker |
SPEAKER_24 |
transcript.pyannote[2600].start |
13863.04596875 |
transcript.pyannote[2600].end |
13865.64471875 |
transcript.pyannote[2601].speaker |
SPEAKER_24 |
transcript.pyannote[2601].start |
13865.98221875 |
transcript.pyannote[2601].end |
13869.13784375 |
transcript.pyannote[2602].speaker |
SPEAKER_23 |
transcript.pyannote[2602].start |
13869.13784375 |
transcript.pyannote[2602].end |
13921.16346875 |
transcript.pyannote[2603].speaker |
SPEAKER_24 |
transcript.pyannote[2603].start |
13869.15471875 |
transcript.pyannote[2603].end |
13869.18846875 |
transcript.pyannote[2604].speaker |
SPEAKER_23 |
transcript.pyannote[2604].start |
13921.43346875 |
transcript.pyannote[2604].end |
13928.38596875 |
transcript.pyannote[2605].speaker |
SPEAKER_07 |
transcript.pyannote[2605].start |
13928.13284375 |
transcript.pyannote[2605].end |
13932.08159375 |
transcript.pyannote[2606].speaker |
SPEAKER_23 |
transcript.pyannote[2606].start |
13932.46971875 |
transcript.pyannote[2606].end |
13939.60784375 |
transcript.pyannote[2607].speaker |
SPEAKER_07 |
transcript.pyannote[2607].start |
13938.88221875 |
transcript.pyannote[2607].end |
13958.79471875 |
transcript.pyannote[2608].speaker |
SPEAKER_00 |
transcript.pyannote[2608].start |
13949.15909375 |
transcript.pyannote[2608].end |
13949.66534375 |
transcript.pyannote[2609].speaker |
SPEAKER_23 |
transcript.pyannote[2609].start |
13959.99284375 |
transcript.pyannote[2609].end |
13960.58346875 |
transcript.pyannote[2610].speaker |
SPEAKER_23 |
transcript.pyannote[2610].start |
13961.37659375 |
transcript.pyannote[2610].end |
13962.35534375 |
transcript.pyannote[2611].speaker |
SPEAKER_23 |
transcript.pyannote[2611].start |
13964.12721875 |
transcript.pyannote[2611].end |
13985.27159375 |
transcript.pyannote[2612].speaker |
SPEAKER_23 |
transcript.pyannote[2612].start |
13985.52471875 |
transcript.pyannote[2612].end |
14011.30971875 |
transcript.pyannote[2613].speaker |
SPEAKER_23 |
transcript.pyannote[2613].start |
14012.76096875 |
transcript.pyannote[2613].end |
14013.23346875 |
transcript.pyannote[2614].speaker |
SPEAKER_23 |
transcript.pyannote[2614].start |
14013.62159375 |
transcript.pyannote[2614].end |
14013.79034375 |
transcript.pyannote[2615].speaker |
SPEAKER_23 |
transcript.pyannote[2615].start |
14014.88721875 |
transcript.pyannote[2615].end |
14021.43471875 |
transcript.pyannote[2616].speaker |
SPEAKER_23 |
transcript.pyannote[2616].start |
14021.75534375 |
transcript.pyannote[2616].end |
14025.28221875 |
transcript.pyannote[2617].speaker |
SPEAKER_23 |
transcript.pyannote[2617].start |
14025.60284375 |
transcript.pyannote[2617].end |
14032.85909375 |
transcript.pyannote[2618].speaker |
SPEAKER_23 |
transcript.pyannote[2618].start |
14033.31471875 |
transcript.pyannote[2618].end |
14047.97909375 |
transcript.pyannote[2619].speaker |
SPEAKER_23 |
transcript.pyannote[2619].start |
14048.33346875 |
transcript.pyannote[2619].end |
14050.39221875 |
transcript.pyannote[2620].speaker |
SPEAKER_23 |
transcript.pyannote[2620].start |
14050.72971875 |
transcript.pyannote[2620].end |
14051.11784375 |
transcript.pyannote[2621].speaker |
SPEAKER_23 |
transcript.pyannote[2621].start |
14051.55659375 |
transcript.pyannote[2621].end |
14073.22409375 |
transcript.pyannote[2622].speaker |
SPEAKER_23 |
transcript.pyannote[2622].start |
14074.72596875 |
transcript.pyannote[2622].end |
14075.04659375 |
transcript.pyannote[2623].speaker |
SPEAKER_07 |
transcript.pyannote[2623].start |
14075.55284375 |
transcript.pyannote[2623].end |
14093.10284375 |
transcript.pyannote[2624].speaker |
SPEAKER_22 |
transcript.pyannote[2624].start |
14086.60596875 |
transcript.pyannote[2624].end |
14086.84221875 |
transcript.pyannote[2625].speaker |
SPEAKER_22 |
transcript.pyannote[2625].start |
14086.92659375 |
transcript.pyannote[2625].end |
14087.06159375 |
transcript.pyannote[2626].speaker |
SPEAKER_23 |
transcript.pyannote[2626].start |
14087.06159375 |
transcript.pyannote[2626].end |
14087.07846875 |
transcript.pyannote[2627].speaker |
SPEAKER_23 |
transcript.pyannote[2627].start |
14093.71034375 |
transcript.pyannote[2627].end |
14098.95846875 |
transcript.pyannote[2628].speaker |
SPEAKER_23 |
transcript.pyannote[2628].start |
14099.24534375 |
transcript.pyannote[2628].end |
14110.01159375 |
transcript.pyannote[2629].speaker |
SPEAKER_23 |
transcript.pyannote[2629].start |
14110.18034375 |
transcript.pyannote[2629].end |
14117.23409375 |
transcript.pyannote[2630].speaker |
SPEAKER_23 |
transcript.pyannote[2630].start |
14117.43659375 |
transcript.pyannote[2630].end |
14119.14096875 |
transcript.pyannote[2631].speaker |
SPEAKER_23 |
transcript.pyannote[2631].start |
14119.25909375 |
transcript.pyannote[2631].end |
14122.88721875 |
transcript.pyannote[2632].speaker |
SPEAKER_23 |
transcript.pyannote[2632].start |
14123.03909375 |
transcript.pyannote[2632].end |
14133.58596875 |
transcript.pyannote[2633].speaker |
SPEAKER_23 |
transcript.pyannote[2633].start |
14133.82221875 |
transcript.pyannote[2633].end |
14151.00096875 |
transcript.pyannote[2634].speaker |
SPEAKER_07 |
transcript.pyannote[2634].start |
14146.42784375 |
transcript.pyannote[2634].end |
14146.84971875 |
transcript.pyannote[2635].speaker |
SPEAKER_07 |
transcript.pyannote[2635].start |
14146.88346875 |
transcript.pyannote[2635].end |
14146.98471875 |
transcript.pyannote[2636].speaker |
SPEAKER_07 |
transcript.pyannote[2636].start |
14150.46096875 |
transcript.pyannote[2636].end |
14156.72159375 |
transcript.pyannote[2637].speaker |
SPEAKER_07 |
transcript.pyannote[2637].start |
14156.94096875 |
transcript.pyannote[2637].end |
14156.99159375 |
transcript.pyannote[2638].speaker |
SPEAKER_23 |
transcript.pyannote[2638].start |
14157.04221875 |
transcript.pyannote[2638].end |
14190.53909375 |
transcript.pyannote[2639].speaker |
SPEAKER_00 |
transcript.pyannote[2639].start |
14180.46471875 |
transcript.pyannote[2639].end |
14180.76846875 |
transcript.pyannote[2640].speaker |
SPEAKER_07 |
transcript.pyannote[2640].start |
14189.03721875 |
transcript.pyannote[2640].end |
14189.30721875 |
transcript.pyannote[2641].speaker |
SPEAKER_07 |
transcript.pyannote[2641].start |
14189.91471875 |
transcript.pyannote[2641].end |
14190.23534375 |
transcript.pyannote[2642].speaker |
SPEAKER_23 |
transcript.pyannote[2642].start |
14190.85971875 |
transcript.pyannote[2642].end |
14193.30659375 |
transcript.pyannote[2643].speaker |
SPEAKER_23 |
transcript.pyannote[2643].start |
14193.47534375 |
transcript.pyannote[2643].end |
14198.52096875 |
transcript.pyannote[2644].speaker |
SPEAKER_07 |
transcript.pyannote[2644].start |
14197.52534375 |
transcript.pyannote[2644].end |
14202.75659375 |
transcript.pyannote[2645].speaker |
SPEAKER_23 |
transcript.pyannote[2645].start |
14199.34784375 |
transcript.pyannote[2645].end |
14200.29284375 |
transcript.pyannote[2646].speaker |
SPEAKER_23 |
transcript.pyannote[2646].start |
14200.96784375 |
transcript.pyannote[2646].end |
14212.20659375 |
transcript.pyannote[2647].speaker |
SPEAKER_07 |
transcript.pyannote[2647].start |
14204.35971875 |
transcript.pyannote[2647].end |
14204.89971875 |
transcript.pyannote[2648].speaker |
SPEAKER_20 |
transcript.pyannote[2648].start |
14212.20659375 |
transcript.pyannote[2648].end |
14212.59471875 |
transcript.pyannote[2649].speaker |
SPEAKER_23 |
transcript.pyannote[2649].start |
14212.59471875 |
transcript.pyannote[2649].end |
14212.62846875 |
transcript.pyannote[2650].speaker |
SPEAKER_05 |
transcript.pyannote[2650].start |
14212.62846875 |
transcript.pyannote[2650].end |
14218.87221875 |
transcript.pyannote[2651].speaker |
SPEAKER_03 |
transcript.pyannote[2651].start |
14231.46096875 |
transcript.pyannote[2651].end |
14231.79846875 |
transcript.pyannote[2652].speaker |
SPEAKER_03 |
transcript.pyannote[2652].start |
14232.25409375 |
transcript.pyannote[2652].end |
14235.39284375 |
transcript.pyannote[2653].speaker |
SPEAKER_05 |
transcript.pyannote[2653].start |
14235.79784375 |
transcript.pyannote[2653].end |
14237.14784375 |
transcript.pyannote[2654].speaker |
SPEAKER_03 |
transcript.pyannote[2654].start |
14241.07971875 |
transcript.pyannote[2654].end |
14241.94034375 |
transcript.pyannote[2655].speaker |
SPEAKER_03 |
transcript.pyannote[2655].start |
14242.68284375 |
transcript.pyannote[2655].end |
14243.62784375 |
transcript.pyannote[2656].speaker |
SPEAKER_03 |
transcript.pyannote[2656].start |
14244.53909375 |
transcript.pyannote[2656].end |
14274.20534375 |
transcript.pyannote[2657].speaker |
SPEAKER_22 |
transcript.pyannote[2657].start |
14274.20534375 |
transcript.pyannote[2657].end |
14274.32346875 |
transcript.pyannote[2658].speaker |
SPEAKER_03 |
transcript.pyannote[2658].start |
14274.32346875 |
transcript.pyannote[2658].end |
14285.56221875 |
transcript.pyannote[2659].speaker |
SPEAKER_03 |
transcript.pyannote[2659].start |
14286.01784375 |
transcript.pyannote[2659].end |
14299.02846875 |
transcript.pyannote[2660].speaker |
SPEAKER_07 |
transcript.pyannote[2660].start |
14299.02846875 |
transcript.pyannote[2660].end |
14323.96971875 |
transcript.pyannote[2661].speaker |
SPEAKER_00 |
transcript.pyannote[2661].start |
14305.06971875 |
transcript.pyannote[2661].end |
14305.18784375 |
transcript.pyannote[2662].speaker |
SPEAKER_03 |
transcript.pyannote[2662].start |
14320.56096875 |
transcript.pyannote[2662].end |
14320.96596875 |
transcript.pyannote[2663].speaker |
SPEAKER_03 |
transcript.pyannote[2663].start |
14323.96971875 |
transcript.pyannote[2663].end |
14329.09971875 |
transcript.pyannote[2664].speaker |
SPEAKER_03 |
transcript.pyannote[2664].start |
14329.47096875 |
transcript.pyannote[2664].end |
14331.31034375 |
transcript.pyannote[2665].speaker |
SPEAKER_03 |
transcript.pyannote[2665].start |
14331.74909375 |
transcript.pyannote[2665].end |
14332.27221875 |
transcript.pyannote[2666].speaker |
SPEAKER_03 |
transcript.pyannote[2666].start |
14332.69409375 |
transcript.pyannote[2666].end |
14350.78409375 |
transcript.pyannote[2667].speaker |
SPEAKER_00 |
transcript.pyannote[2667].start |
14343.25784375 |
transcript.pyannote[2667].end |
14343.51096875 |
transcript.pyannote[2668].speaker |
SPEAKER_03 |
transcript.pyannote[2668].start |
14351.03721875 |
transcript.pyannote[2668].end |
14351.84721875 |
transcript.pyannote[2669].speaker |
SPEAKER_03 |
transcript.pyannote[2669].start |
14351.96534375 |
transcript.pyannote[2669].end |
14367.03471875 |
transcript.pyannote[2670].speaker |
SPEAKER_07 |
transcript.pyannote[2670].start |
14367.03471875 |
transcript.pyannote[2670].end |
14375.97846875 |
transcript.pyannote[2671].speaker |
SPEAKER_03 |
transcript.pyannote[2671].start |
14375.97846875 |
transcript.pyannote[2671].end |
14382.32346875 |
transcript.pyannote[2672].speaker |
SPEAKER_22 |
transcript.pyannote[2672].start |
14382.28971875 |
transcript.pyannote[2672].end |
14382.30659375 |
transcript.pyannote[2673].speaker |
SPEAKER_22 |
transcript.pyannote[2673].start |
14382.32346875 |
transcript.pyannote[2673].end |
14382.49221875 |
transcript.pyannote[2674].speaker |
SPEAKER_03 |
transcript.pyannote[2674].start |
14382.49221875 |
transcript.pyannote[2674].end |
14402.10096875 |
transcript.pyannote[2675].speaker |
SPEAKER_07 |
transcript.pyannote[2675].start |
14401.27409375 |
transcript.pyannote[2675].end |
14403.33284375 |
transcript.pyannote[2676].speaker |
SPEAKER_03 |
transcript.pyannote[2676].start |
14403.33284375 |
transcript.pyannote[2676].end |
14406.97784375 |
transcript.pyannote[2677].speaker |
SPEAKER_03 |
transcript.pyannote[2677].start |
14407.50096875 |
transcript.pyannote[2677].end |
14437.48784375 |
transcript.pyannote[2678].speaker |
SPEAKER_22 |
transcript.pyannote[2678].start |
14431.19346875 |
transcript.pyannote[2678].end |
14431.44659375 |
transcript.pyannote[2679].speaker |
SPEAKER_03 |
transcript.pyannote[2679].start |
14438.07846875 |
transcript.pyannote[2679].end |
14449.40159375 |
transcript.pyannote[2680].speaker |
SPEAKER_03 |
transcript.pyannote[2680].start |
14449.75596875 |
transcript.pyannote[2680].end |
14459.15534375 |
transcript.pyannote[2681].speaker |
SPEAKER_03 |
transcript.pyannote[2681].start |
14459.49284375 |
transcript.pyannote[2681].end |
14466.69846875 |
transcript.pyannote[2682].speaker |
SPEAKER_03 |
transcript.pyannote[2682].start |
14466.91784375 |
transcript.pyannote[2682].end |
14474.74784375 |
transcript.pyannote[2683].speaker |
SPEAKER_03 |
transcript.pyannote[2683].start |
14475.18659375 |
transcript.pyannote[2683].end |
14495.85846875 |
transcript.pyannote[2684].speaker |
SPEAKER_03 |
transcript.pyannote[2684].start |
14496.88784375 |
transcript.pyannote[2684].end |
14506.87784375 |
transcript.pyannote[2685].speaker |
SPEAKER_03 |
transcript.pyannote[2685].start |
14507.70471875 |
transcript.pyannote[2685].end |
14508.02534375 |
transcript.pyannote[2686].speaker |
SPEAKER_07 |
transcript.pyannote[2686].start |
14508.02534375 |
transcript.pyannote[2686].end |
14527.76909375 |
transcript.pyannote[2687].speaker |
SPEAKER_03 |
transcript.pyannote[2687].start |
14527.76909375 |
transcript.pyannote[2687].end |
14572.97721875 |
transcript.pyannote[2688].speaker |
SPEAKER_00 |
transcript.pyannote[2688].start |
14556.81096875 |
transcript.pyannote[2688].end |
14557.19909375 |
transcript.pyannote[2689].speaker |
SPEAKER_10 |
transcript.pyannote[2689].start |
14572.38659375 |
transcript.pyannote[2689].end |
14578.30971875 |
transcript.pyannote[2690].speaker |
SPEAKER_03 |
transcript.pyannote[2690].start |
14578.39409375 |
transcript.pyannote[2690].end |
14579.22096875 |
transcript.pyannote[2691].speaker |
SPEAKER_10 |
transcript.pyannote[2691].start |
14579.22096875 |
transcript.pyannote[2691].end |
14583.79409375 |
transcript.pyannote[2692].speaker |
SPEAKER_03 |
transcript.pyannote[2692].start |
14583.92909375 |
transcript.pyannote[2692].end |
14595.45471875 |
transcript.pyannote[2693].speaker |
SPEAKER_10 |
transcript.pyannote[2693].start |
14585.92034375 |
transcript.pyannote[2693].end |
14587.64159375 |
transcript.pyannote[2694].speaker |
SPEAKER_10 |
transcript.pyannote[2694].start |
14594.77971875 |
transcript.pyannote[2694].end |
14596.99034375 |
transcript.pyannote[2695].speaker |
SPEAKER_03 |
transcript.pyannote[2695].start |
14596.99034375 |
transcript.pyannote[2695].end |
14604.60096875 |
transcript.pyannote[2696].speaker |
SPEAKER_05 |
transcript.pyannote[2696].start |
14602.89659375 |
transcript.pyannote[2696].end |
14603.45346875 |
transcript.pyannote[2697].speaker |
SPEAKER_05 |
transcript.pyannote[2697].start |
14604.97221875 |
transcript.pyannote[2697].end |
14610.57471875 |
transcript.pyannote[2698].speaker |
SPEAKER_21 |
transcript.pyannote[2698].start |
14621.54346875 |
transcript.pyannote[2698].end |
14625.88034375 |
transcript.pyannote[2699].speaker |
SPEAKER_05 |
transcript.pyannote[2699].start |
14627.43284375 |
transcript.pyannote[2699].end |
14628.88409375 |
transcript.pyannote[2700].speaker |
SPEAKER_05 |
transcript.pyannote[2700].start |
14628.96846875 |
transcript.pyannote[2700].end |
14629.94721875 |
transcript.pyannote[2701].speaker |
SPEAKER_05 |
transcript.pyannote[2701].start |
14634.26721875 |
transcript.pyannote[2701].end |
14636.37659375 |
transcript.pyannote[2702].speaker |
SPEAKER_10 |
transcript.pyannote[2702].start |
14635.04346875 |
transcript.pyannote[2702].end |
14635.07721875 |
transcript.pyannote[2703].speaker |
SPEAKER_21 |
transcript.pyannote[2703].start |
14635.07721875 |
transcript.pyannote[2703].end |
14635.38096875 |
transcript.pyannote[2704].speaker |
SPEAKER_10 |
transcript.pyannote[2704].start |
14635.38096875 |
transcript.pyannote[2704].end |
14635.39784375 |
transcript.pyannote[2705].speaker |
SPEAKER_05 |
transcript.pyannote[2705].start |
14638.06409375 |
transcript.pyannote[2705].end |
14638.58721875 |
transcript.pyannote[2706].speaker |
SPEAKER_21 |
transcript.pyannote[2706].start |
14638.94159375 |
transcript.pyannote[2706].end |
14641.10159375 |
transcript.pyannote[2707].speaker |
SPEAKER_21 |
transcript.pyannote[2707].start |
14641.99596875 |
transcript.pyannote[2707].end |
14649.48846875 |
transcript.pyannote[2708].speaker |
SPEAKER_21 |
transcript.pyannote[2708].start |
14649.69096875 |
transcript.pyannote[2708].end |
14663.12346875 |
transcript.pyannote[2709].speaker |
SPEAKER_21 |
transcript.pyannote[2709].start |
14663.71409375 |
transcript.pyannote[2709].end |
14667.00471875 |
transcript.pyannote[2710].speaker |
SPEAKER_21 |
transcript.pyannote[2710].start |
14667.17346875 |
transcript.pyannote[2710].end |
14674.83471875 |
transcript.pyannote[2711].speaker |
SPEAKER_21 |
transcript.pyannote[2711].start |
14675.34096875 |
transcript.pyannote[2711].end |
14676.21846875 |
transcript.pyannote[2712].speaker |
SPEAKER_21 |
transcript.pyannote[2712].start |
14676.77534375 |
transcript.pyannote[2712].end |
14687.37284375 |
transcript.pyannote[2713].speaker |
SPEAKER_21 |
transcript.pyannote[2713].start |
14687.65971875 |
transcript.pyannote[2713].end |
14692.41846875 |
transcript.pyannote[2714].speaker |
SPEAKER_21 |
transcript.pyannote[2714].start |
14692.73909375 |
transcript.pyannote[2714].end |
14697.56534375 |
transcript.pyannote[2715].speaker |
SPEAKER_21 |
transcript.pyannote[2715].start |
14697.73409375 |
transcript.pyannote[2715].end |
14706.17159375 |
transcript.pyannote[2716].speaker |
SPEAKER_21 |
transcript.pyannote[2716].start |
14706.77909375 |
transcript.pyannote[2716].end |
14707.79159375 |
transcript.pyannote[2717].speaker |
SPEAKER_21 |
transcript.pyannote[2717].start |
14708.38221875 |
transcript.pyannote[2717].end |
14713.81596875 |
transcript.pyannote[2718].speaker |
SPEAKER_21 |
transcript.pyannote[2718].start |
14714.05221875 |
transcript.pyannote[2718].end |
14719.72221875 |
transcript.pyannote[2719].speaker |
SPEAKER_21 |
transcript.pyannote[2719].start |
14719.97534375 |
transcript.pyannote[2719].end |
14721.76409375 |
transcript.pyannote[2720].speaker |
SPEAKER_21 |
transcript.pyannote[2720].start |
14722.05096875 |
transcript.pyannote[2720].end |
14728.29471875 |
transcript.pyannote[2721].speaker |
SPEAKER_21 |
transcript.pyannote[2721].start |
14728.96971875 |
transcript.pyannote[2721].end |
14731.77096875 |
transcript.pyannote[2722].speaker |
SPEAKER_21 |
transcript.pyannote[2722].start |
14732.05784375 |
transcript.pyannote[2722].end |
14735.93909375 |
transcript.pyannote[2723].speaker |
SPEAKER_21 |
transcript.pyannote[2723].start |
14736.69846875 |
transcript.pyannote[2723].end |
14766.68534375 |
transcript.pyannote[2724].speaker |
SPEAKER_21 |
transcript.pyannote[2724].start |
14766.97221875 |
transcript.pyannote[2724].end |
14770.87034375 |
transcript.pyannote[2725].speaker |
SPEAKER_21 |
transcript.pyannote[2725].start |
14771.00534375 |
transcript.pyannote[2725].end |
14773.90784375 |
transcript.pyannote[2726].speaker |
SPEAKER_21 |
transcript.pyannote[2726].start |
14774.11034375 |
transcript.pyannote[2726].end |
14787.32346875 |
transcript.pyannote[2727].speaker |
SPEAKER_21 |
transcript.pyannote[2727].start |
14787.86346875 |
transcript.pyannote[2727].end |
14788.74096875 |
transcript.pyannote[2728].speaker |
SPEAKER_21 |
transcript.pyannote[2728].start |
14789.04471875 |
transcript.pyannote[2728].end |
14790.69846875 |
transcript.pyannote[2729].speaker |
SPEAKER_21 |
transcript.pyannote[2729].start |
14791.03596875 |
transcript.pyannote[2729].end |
14792.85846875 |
transcript.pyannote[2730].speaker |
SPEAKER_21 |
transcript.pyannote[2730].start |
14793.22971875 |
transcript.pyannote[2730].end |
14795.82846875 |
transcript.pyannote[2731].speaker |
SPEAKER_21 |
transcript.pyannote[2731].start |
14796.21659375 |
transcript.pyannote[2731].end |
14797.87034375 |
transcript.pyannote[2732].speaker |
SPEAKER_21 |
transcript.pyannote[2732].start |
14798.41034375 |
transcript.pyannote[2732].end |
14799.01784375 |
transcript.pyannote[2733].speaker |
SPEAKER_21 |
transcript.pyannote[2733].start |
14799.32159375 |
transcript.pyannote[2733].end |
14800.30034375 |
transcript.pyannote[2734].speaker |
SPEAKER_21 |
transcript.pyannote[2734].start |
14800.85721875 |
transcript.pyannote[2734].end |
14803.32096875 |
transcript.pyannote[2735].speaker |
SPEAKER_21 |
transcript.pyannote[2735].start |
14803.94534375 |
transcript.pyannote[2735].end |
14818.93034375 |
transcript.pyannote[2736].speaker |
SPEAKER_21 |
transcript.pyannote[2736].start |
14819.72346875 |
transcript.pyannote[2736].end |
14822.72721875 |
transcript.pyannote[2737].speaker |
SPEAKER_21 |
transcript.pyannote[2737].start |
14822.98034375 |
transcript.pyannote[2737].end |
14823.48659375 |
transcript.pyannote[2738].speaker |
SPEAKER_21 |
transcript.pyannote[2738].start |
14824.04346875 |
transcript.pyannote[2738].end |
14830.27034375 |
transcript.pyannote[2739].speaker |
SPEAKER_21 |
transcript.pyannote[2739].start |
14830.32096875 |
transcript.pyannote[2739].end |
14834.99534375 |
transcript.pyannote[2740].speaker |
SPEAKER_21 |
transcript.pyannote[2740].start |
14835.14721875 |
transcript.pyannote[2740].end |
14840.02409375 |
transcript.pyannote[2741].speaker |
SPEAKER_21 |
transcript.pyannote[2741].start |
14840.22659375 |
transcript.pyannote[2741].end |
14841.27284375 |
transcript.pyannote[2742].speaker |
SPEAKER_21 |
transcript.pyannote[2742].start |
14841.39096875 |
transcript.pyannote[2742].end |
14845.08659375 |
transcript.pyannote[2743].speaker |
SPEAKER_21 |
transcript.pyannote[2743].start |
14845.28909375 |
transcript.pyannote[2743].end |
14846.25096875 |
transcript.pyannote[2744].speaker |
SPEAKER_21 |
transcript.pyannote[2744].start |
14846.58846875 |
transcript.pyannote[2744].end |
14850.92534375 |
transcript.pyannote[2745].speaker |
SPEAKER_21 |
transcript.pyannote[2745].start |
14851.02659375 |
transcript.pyannote[2745].end |
14864.29034375 |
transcript.pyannote[2746].speaker |
SPEAKER_21 |
transcript.pyannote[2746].start |
14864.59409375 |
transcript.pyannote[2746].end |
14871.36096875 |
transcript.pyannote[2747].speaker |
SPEAKER_16 |
transcript.pyannote[2747].start |
14872.82909375 |
transcript.pyannote[2747].end |
14873.23409375 |
transcript.pyannote[2748].speaker |
SPEAKER_16 |
transcript.pyannote[2748].start |
14873.84159375 |
transcript.pyannote[2748].end |
14879.42721875 |
transcript.pyannote[2749].speaker |
SPEAKER_16 |
transcript.pyannote[2749].start |
14879.44409375 |
transcript.pyannote[2749].end |
14879.46096875 |
transcript.pyannote[2750].speaker |
SPEAKER_21 |
transcript.pyannote[2750].start |
14880.38909375 |
transcript.pyannote[2750].end |
14885.72159375 |
transcript.pyannote[2751].speaker |
SPEAKER_21 |
transcript.pyannote[2751].start |
14885.90721875 |
transcript.pyannote[2751].end |
14889.46784375 |
transcript.pyannote[2752].speaker |
SPEAKER_21 |
transcript.pyannote[2752].start |
14889.53534375 |
transcript.pyannote[2752].end |
14891.64471875 |
transcript.pyannote[2753].speaker |
SPEAKER_21 |
transcript.pyannote[2753].start |
14891.67846875 |
transcript.pyannote[2753].end |
14892.37034375 |
transcript.pyannote[2754].speaker |
SPEAKER_21 |
transcript.pyannote[2754].start |
14892.64034375 |
transcript.pyannote[2754].end |
14895.77909375 |
transcript.pyannote[2755].speaker |
SPEAKER_21 |
transcript.pyannote[2755].start |
14895.98159375 |
transcript.pyannote[2755].end |
14903.82846875 |
transcript.pyannote[2756].speaker |
SPEAKER_21 |
transcript.pyannote[2756].start |
14904.25034375 |
transcript.pyannote[2756].end |
14906.56221875 |
transcript.pyannote[2757].speaker |
SPEAKER_07 |
transcript.pyannote[2757].start |
14906.89971875 |
transcript.pyannote[2757].end |
14907.54096875 |
transcript.pyannote[2758].speaker |
SPEAKER_07 |
transcript.pyannote[2758].start |
14907.65909375 |
transcript.pyannote[2758].end |
14907.67596875 |
transcript.pyannote[2759].speaker |
SPEAKER_27 |
transcript.pyannote[2759].start |
14907.67596875 |
transcript.pyannote[2759].end |
14908.03034375 |
transcript.pyannote[2760].speaker |
SPEAKER_27 |
transcript.pyannote[2760].start |
14908.57034375 |
transcript.pyannote[2760].end |
14908.80659375 |
transcript.pyannote[2761].speaker |
SPEAKER_27 |
transcript.pyannote[2761].start |
14912.73846875 |
transcript.pyannote[2761].end |
14915.64096875 |
transcript.pyannote[2762].speaker |
SPEAKER_28 |
transcript.pyannote[2762].start |
14925.66471875 |
transcript.pyannote[2762].end |
14927.85846875 |
transcript.pyannote[2763].speaker |
SPEAKER_27 |
transcript.pyannote[2763].start |
14928.09471875 |
transcript.pyannote[2763].end |
14929.02284375 |
transcript.pyannote[2764].speaker |
SPEAKER_28 |
transcript.pyannote[2764].start |
14930.50784375 |
transcript.pyannote[2764].end |
14932.53284375 |
transcript.pyannote[2765].speaker |
SPEAKER_28 |
transcript.pyannote[2765].start |
14937.34221875 |
transcript.pyannote[2765].end |
14937.40971875 |
transcript.pyannote[2766].speaker |
SPEAKER_28 |
transcript.pyannote[2766].start |
14937.47721875 |
transcript.pyannote[2766].end |
14963.36346875 |
transcript.pyannote[2767].speaker |
SPEAKER_11 |
transcript.pyannote[2767].start |
14964.61221875 |
transcript.pyannote[2767].end |
14966.89034375 |
transcript.pyannote[2768].speaker |
SPEAKER_28 |
transcript.pyannote[2768].start |
14966.89034375 |
transcript.pyannote[2768].end |
14968.07159375 |
transcript.pyannote[2769].speaker |
SPEAKER_11 |
transcript.pyannote[2769].start |
14968.40909375 |
transcript.pyannote[2769].end |
14969.47221875 |
transcript.pyannote[2770].speaker |
SPEAKER_28 |
transcript.pyannote[2770].start |
14969.47221875 |
transcript.pyannote[2770].end |
15013.66784375 |
transcript.pyannote[2771].speaker |
SPEAKER_28 |
transcript.pyannote[2771].start |
15014.02221875 |
transcript.pyannote[2771].end |
15030.82971875 |
transcript.pyannote[2772].speaker |
SPEAKER_28 |
transcript.pyannote[2772].start |
15030.93096875 |
transcript.pyannote[2772].end |
15035.82471875 |
transcript.pyannote[2773].speaker |
SPEAKER_11 |
transcript.pyannote[2773].start |
15036.55034375 |
transcript.pyannote[2773].end |
15038.22096875 |
transcript.pyannote[2774].speaker |
SPEAKER_11 |
transcript.pyannote[2774].start |
15038.81159375 |
transcript.pyannote[2774].end |
15043.89096875 |
transcript.pyannote[2775].speaker |
SPEAKER_11 |
transcript.pyannote[2775].start |
15043.97534375 |
transcript.pyannote[2775].end |
15050.80971875 |
transcript.pyannote[2776].speaker |
SPEAKER_11 |
transcript.pyannote[2776].start |
15051.06284375 |
transcript.pyannote[2776].end |
15051.53534375 |
transcript.pyannote[2777].speaker |
SPEAKER_11 |
transcript.pyannote[2777].start |
15051.78846875 |
transcript.pyannote[2777].end |
15055.18034375 |
transcript.pyannote[2778].speaker |
SPEAKER_11 |
transcript.pyannote[2778].start |
15055.97346875 |
transcript.pyannote[2778].end |
15059.12909375 |
transcript.pyannote[2779].speaker |
SPEAKER_11 |
transcript.pyannote[2779].start |
15059.29784375 |
transcript.pyannote[2779].end |
15064.32659375 |
transcript.pyannote[2780].speaker |
SPEAKER_22 |
transcript.pyannote[2780].start |
15064.03971875 |
transcript.pyannote[2780].end |
15064.44471875 |
transcript.pyannote[2781].speaker |
SPEAKER_11 |
transcript.pyannote[2781].start |
15064.41096875 |
transcript.pyannote[2781].end |
15078.31596875 |
transcript.pyannote[2782].speaker |
SPEAKER_28 |
transcript.pyannote[2782].start |
15078.60284375 |
transcript.pyannote[2782].end |
15084.52596875 |
transcript.pyannote[2783].speaker |
SPEAKER_28 |
transcript.pyannote[2783].start |
15085.18409375 |
transcript.pyannote[2783].end |
15091.64721875 |
transcript.pyannote[2784].speaker |
SPEAKER_30 |
transcript.pyannote[2784].start |
15091.74846875 |
transcript.pyannote[2784].end |
15093.67221875 |
transcript.pyannote[2785].speaker |
SPEAKER_28 |
transcript.pyannote[2785].start |
15093.60471875 |
transcript.pyannote[2785].end |
15097.08096875 |
transcript.pyannote[2786].speaker |
SPEAKER_28 |
transcript.pyannote[2786].start |
15097.35096875 |
transcript.pyannote[2786].end |
15101.50221875 |
transcript.pyannote[2787].speaker |
SPEAKER_28 |
transcript.pyannote[2787].start |
15101.85659375 |
transcript.pyannote[2787].end |
15120.68909375 |
transcript.pyannote[2788].speaker |
SPEAKER_28 |
transcript.pyannote[2788].start |
15120.82409375 |
transcript.pyannote[2788].end |
15121.81971875 |
transcript.pyannote[2789].speaker |
SPEAKER_28 |
transcript.pyannote[2789].start |
15121.95471875 |
transcript.pyannote[2789].end |
15139.57221875 |
transcript.pyannote[2790].speaker |
SPEAKER_28 |
transcript.pyannote[2790].start |
15139.92659375 |
transcript.pyannote[2790].end |
15147.62159375 |
transcript.pyannote[2791].speaker |
SPEAKER_28 |
transcript.pyannote[2791].start |
15147.92534375 |
transcript.pyannote[2791].end |
15152.75159375 |
transcript.pyannote[2792].speaker |
SPEAKER_28 |
transcript.pyannote[2792].start |
15153.56159375 |
transcript.pyannote[2792].end |
15161.39159375 |
transcript.pyannote[2793].speaker |
SPEAKER_28 |
transcript.pyannote[2793].start |
15161.83034375 |
transcript.pyannote[2793].end |
15180.25784375 |
transcript.pyannote[2794].speaker |
SPEAKER_28 |
transcript.pyannote[2794].start |
15180.52784375 |
transcript.pyannote[2794].end |
15191.56409375 |
transcript.pyannote[2795].speaker |
SPEAKER_11 |
transcript.pyannote[2795].start |
15189.53909375 |
transcript.pyannote[2795].end |
15190.19721875 |
transcript.pyannote[2796].speaker |
SPEAKER_11 |
transcript.pyannote[2796].start |
15190.87221875 |
transcript.pyannote[2796].end |
15191.19284375 |
transcript.pyannote[2797].speaker |
SPEAKER_28 |
transcript.pyannote[2797].start |
15191.59784375 |
transcript.pyannote[2797].end |
15192.20534375 |
transcript.pyannote[2798].speaker |
SPEAKER_11 |
transcript.pyannote[2798].start |
15191.63159375 |
transcript.pyannote[2798].end |
15199.63034375 |
transcript.pyannote[2799].speaker |
SPEAKER_28 |
transcript.pyannote[2799].start |
15195.04034375 |
transcript.pyannote[2799].end |
15195.37784375 |
transcript.pyannote[2800].speaker |
SPEAKER_28 |
transcript.pyannote[2800].start |
15198.02721875 |
transcript.pyannote[2800].end |
15198.39846875 |
transcript.pyannote[2801].speaker |
SPEAKER_28 |
transcript.pyannote[2801].start |
15199.63034375 |
transcript.pyannote[2801].end |
15200.15346875 |
transcript.pyannote[2802].speaker |
SPEAKER_11 |
transcript.pyannote[2802].start |
15200.15346875 |
transcript.pyannote[2802].end |
15203.89971875 |
transcript.pyannote[2803].speaker |
SPEAKER_28 |
transcript.pyannote[2803].start |
15200.20409375 |
transcript.pyannote[2803].end |
15200.65971875 |
transcript.pyannote[2804].speaker |
SPEAKER_11 |
transcript.pyannote[2804].start |
15204.32159375 |
transcript.pyannote[2804].end |
15210.14346875 |
transcript.pyannote[2805].speaker |
SPEAKER_28 |
transcript.pyannote[2805].start |
15209.56971875 |
transcript.pyannote[2805].end |
15225.92159375 |
transcript.pyannote[2806].speaker |
SPEAKER_28 |
transcript.pyannote[2806].start |
15227.15346875 |
transcript.pyannote[2806].end |
15228.67221875 |
transcript.pyannote[2807].speaker |
SPEAKER_28 |
transcript.pyannote[2807].start |
15230.27534375 |
transcript.pyannote[2807].end |
15230.88284375 |
transcript.pyannote[2808].speaker |
SPEAKER_28 |
transcript.pyannote[2808].start |
15230.96721875 |
transcript.pyannote[2808].end |
15231.03471875 |
transcript.pyannote[2809].speaker |
SPEAKER_28 |
transcript.pyannote[2809].start |
15231.20346875 |
transcript.pyannote[2809].end |
15232.77284375 |
transcript.pyannote[2810].speaker |
SPEAKER_27 |
transcript.pyannote[2810].start |
15231.32159375 |
transcript.pyannote[2810].end |
15232.21596875 |
transcript.pyannote[2811].speaker |
SPEAKER_27 |
transcript.pyannote[2811].start |
15234.27471875 |
transcript.pyannote[2811].end |
15234.89909375 |
transcript.pyannote[2812].speaker |
SPEAKER_27 |
transcript.pyannote[2812].start |
15235.33784375 |
transcript.pyannote[2812].end |
15235.77659375 |
transcript.pyannote[2813].speaker |
SPEAKER_27 |
transcript.pyannote[2813].start |
15235.79346875 |
transcript.pyannote[2813].end |
15235.81034375 |
transcript.pyannote[2814].speaker |
SPEAKER_28 |
transcript.pyannote[2814].start |
15235.81034375 |
transcript.pyannote[2814].end |
15241.27784375 |
transcript.pyannote[2815].speaker |
SPEAKER_07 |
transcript.pyannote[2815].start |
15241.00784375 |
transcript.pyannote[2815].end |
15248.66909375 |
transcript.pyannote[2816].speaker |
SPEAKER_28 |
transcript.pyannote[2816].start |
15246.40784375 |
transcript.pyannote[2816].end |
15246.93096875 |
transcript.pyannote[2817].speaker |
SPEAKER_05 |
transcript.pyannote[2817].start |
15248.36534375 |
transcript.pyannote[2817].end |
15248.60159375 |
transcript.pyannote[2818].speaker |
SPEAKER_05 |
transcript.pyannote[2818].start |
15248.66909375 |
transcript.pyannote[2818].end |
15248.68596875 |
transcript.pyannote[2819].speaker |
SPEAKER_07 |
transcript.pyannote[2819].start |
15248.68596875 |
transcript.pyannote[2819].end |
15268.19346875 |
transcript.pyannote[2820].speaker |
SPEAKER_05 |
transcript.pyannote[2820].start |
15248.75346875 |
transcript.pyannote[2820].end |
15248.92221875 |
transcript.pyannote[2821].speaker |
SPEAKER_28 |
transcript.pyannote[2821].start |
15248.92221875 |
transcript.pyannote[2821].end |
15248.93909375 |
transcript.pyannote[2822].speaker |
SPEAKER_22 |
transcript.pyannote[2822].start |
15248.93909375 |
transcript.pyannote[2822].end |
15248.95596875 |
transcript.pyannote[2823].speaker |
SPEAKER_22 |
transcript.pyannote[2823].start |
15252.02721875 |
transcript.pyannote[2823].end |
15252.58409375 |
transcript.pyannote[2824].speaker |
SPEAKER_28 |
transcript.pyannote[2824].start |
15266.20221875 |
transcript.pyannote[2824].end |
15267.72096875 |
transcript.pyannote[2825].speaker |
SPEAKER_28 |
transcript.pyannote[2825].start |
15268.27784375 |
transcript.pyannote[2825].end |
15293.15159375 |
transcript.pyannote[2826].speaker |
SPEAKER_05 |
transcript.pyannote[2826].start |
15280.78221875 |
transcript.pyannote[2826].end |
15281.27159375 |
transcript.pyannote[2827].speaker |
SPEAKER_22 |
transcript.pyannote[2827].start |
15281.27159375 |
transcript.pyannote[2827].end |
15281.52471875 |
transcript.pyannote[2828].speaker |
SPEAKER_05 |
transcript.pyannote[2828].start |
15281.52471875 |
transcript.pyannote[2828].end |
15281.96346875 |
transcript.pyannote[2829].speaker |
SPEAKER_00 |
transcript.pyannote[2829].start |
15281.96346875 |
transcript.pyannote[2829].end |
15283.49909375 |
transcript.pyannote[2830].speaker |
SPEAKER_07 |
transcript.pyannote[2830].start |
15290.43471875 |
transcript.pyannote[2830].end |
15290.51909375 |
transcript.pyannote[2831].speaker |
SPEAKER_27 |
transcript.pyannote[2831].start |
15290.51909375 |
transcript.pyannote[2831].end |
15290.53596875 |
transcript.pyannote[2832].speaker |
SPEAKER_07 |
transcript.pyannote[2832].start |
15290.53596875 |
transcript.pyannote[2832].end |
15290.58659375 |
transcript.pyannote[2833].speaker |
SPEAKER_27 |
transcript.pyannote[2833].start |
15290.58659375 |
transcript.pyannote[2833].end |
15293.06721875 |
transcript.pyannote[2834].speaker |
SPEAKER_07 |
transcript.pyannote[2834].start |
15293.06721875 |
transcript.pyannote[2834].end |
15294.02909375 |
transcript.pyannote[2835].speaker |
SPEAKER_27 |
transcript.pyannote[2835].start |
15294.02909375 |
transcript.pyannote[2835].end |
15297.08346875 |
transcript.pyannote[2836].speaker |
SPEAKER_27 |
transcript.pyannote[2836].start |
15299.69909375 |
transcript.pyannote[2836].end |
15303.10784375 |
transcript.pyannote[2837].speaker |
SPEAKER_27 |
transcript.pyannote[2837].start |
15304.42409375 |
transcript.pyannote[2837].end |
15307.02284375 |
transcript.pyannote[2838].speaker |
SPEAKER_05 |
transcript.pyannote[2838].start |
15314.27909375 |
transcript.pyannote[2838].end |
15316.23659375 |
transcript.pyannote[2839].speaker |
SPEAKER_05 |
transcript.pyannote[2839].start |
15316.54034375 |
transcript.pyannote[2839].end |
15318.16034375 |
transcript.pyannote[2840].speaker |
SPEAKER_27 |
transcript.pyannote[2840].start |
15318.24471875 |
transcript.pyannote[2840].end |
15318.95346875 |
transcript.pyannote[2841].speaker |
SPEAKER_05 |
transcript.pyannote[2841].start |
15319.30784375 |
transcript.pyannote[2841].end |
15320.86034375 |
transcript.pyannote[2842].speaker |
SPEAKER_27 |
transcript.pyannote[2842].start |
15320.75909375 |
transcript.pyannote[2842].end |
15321.53534375 |
transcript.pyannote[2843].speaker |
SPEAKER_05 |
transcript.pyannote[2843].start |
15321.07971875 |
transcript.pyannote[2843].end |
15322.05846875 |
transcript.pyannote[2844].speaker |
SPEAKER_05 |
transcript.pyannote[2844].start |
15322.41284375 |
transcript.pyannote[2844].end |
15323.72909375 |
transcript.pyannote[2845].speaker |
SPEAKER_27 |
transcript.pyannote[2845].start |
15322.46346875 |
transcript.pyannote[2845].end |
15323.61096875 |
transcript.pyannote[2846].speaker |
SPEAKER_05 |
transcript.pyannote[2846].start |
15325.34909375 |
transcript.pyannote[2846].end |
15325.60221875 |
transcript.pyannote[2847].speaker |
SPEAKER_05 |
transcript.pyannote[2847].start |
15328.63971875 |
transcript.pyannote[2847].end |
15329.98971875 |
transcript.pyannote[2848].speaker |
SPEAKER_05 |
transcript.pyannote[2848].start |
15331.94721875 |
transcript.pyannote[2848].end |
15332.57159375 |
transcript.pyannote[2849].speaker |
SPEAKER_05 |
transcript.pyannote[2849].start |
15333.28034375 |
transcript.pyannote[2849].end |
15342.57846875 |
transcript.pyannote[2850].speaker |
SPEAKER_05 |
transcript.pyannote[2850].start |
15342.89909375 |
transcript.pyannote[2850].end |
15343.69221875 |
transcript.pyannote[2851].speaker |
SPEAKER_05 |
transcript.pyannote[2851].start |
15344.08034375 |
transcript.pyannote[2851].end |
15345.90284375 |
transcript.pyannote[2852].speaker |
SPEAKER_05 |
transcript.pyannote[2852].start |
15346.27409375 |
transcript.pyannote[2852].end |
15347.43846875 |
transcript.pyannote[2853].speaker |
SPEAKER_05 |
transcript.pyannote[2853].start |
15347.50596875 |
transcript.pyannote[2853].end |
15348.55221875 |
transcript.pyannote[2854].speaker |
SPEAKER_05 |
transcript.pyannote[2854].start |
15348.95721875 |
transcript.pyannote[2854].end |
15350.17221875 |
transcript.pyannote[2855].speaker |
SPEAKER_05 |
transcript.pyannote[2855].start |
15350.66159375 |
transcript.pyannote[2855].end |
15378.42096875 |
transcript.pyannote[2856].speaker |
SPEAKER_05 |
transcript.pyannote[2856].start |
15378.87659375 |
transcript.pyannote[2856].end |
15380.05784375 |
transcript.pyannote[2857].speaker |
SPEAKER_05 |
transcript.pyannote[2857].start |
15380.41221875 |
transcript.pyannote[2857].end |
15381.17159375 |
transcript.pyannote[2858].speaker |
SPEAKER_05 |
transcript.pyannote[2858].start |
15381.69471875 |
transcript.pyannote[2858].end |
15389.86221875 |
transcript.pyannote[2859].speaker |
SPEAKER_05 |
transcript.pyannote[2859].start |
15390.04784375 |
transcript.pyannote[2859].end |
15413.16659375 |
transcript.pyannote[2860].speaker |
SPEAKER_22 |
transcript.pyannote[2860].start |
15394.43534375 |
transcript.pyannote[2860].end |
15394.45221875 |
transcript.pyannote[2861].speaker |
SPEAKER_22 |
transcript.pyannote[2861].start |
15414.01034375 |
transcript.pyannote[2861].end |
15414.29721875 |
transcript.pyannote[2862].speaker |
SPEAKER_05 |
transcript.pyannote[2862].start |
15414.29721875 |
transcript.pyannote[2862].end |
15415.51221875 |
transcript.pyannote[2863].speaker |
SPEAKER_05 |
transcript.pyannote[2863].start |
15416.06909375 |
transcript.pyannote[2863].end |
15416.60909375 |
transcript.pyannote[2864].speaker |
SPEAKER_05 |
transcript.pyannote[2864].start |
15417.25034375 |
transcript.pyannote[2864].end |
15418.16159375 |
transcript.pyannote[2865].speaker |
SPEAKER_05 |
transcript.pyannote[2865].start |
15418.58346875 |
transcript.pyannote[2865].end |
15419.76471875 |
transcript.pyannote[2866].speaker |
SPEAKER_05 |
transcript.pyannote[2866].start |
15420.42284375 |
transcript.pyannote[2866].end |
15426.58221875 |
transcript.pyannote[2867].speaker |
SPEAKER_05 |
transcript.pyannote[2867].start |
15426.63284375 |
transcript.pyannote[2867].end |
15436.04909375 |
transcript.pyannote[2868].speaker |
SPEAKER_05 |
transcript.pyannote[2868].start |
15436.74096875 |
transcript.pyannote[2868].end |
15448.40159375 |
transcript.pyannote[2869].speaker |
SPEAKER_05 |
transcript.pyannote[2869].start |
15448.46909375 |
transcript.pyannote[2869].end |
15454.72971875 |
transcript.pyannote[2870].speaker |
SPEAKER_05 |
transcript.pyannote[2870].start |
15455.05034375 |
transcript.pyannote[2870].end |
15464.16284375 |
transcript.pyannote[2871].speaker |
SPEAKER_05 |
transcript.pyannote[2871].start |
15464.93909375 |
transcript.pyannote[2871].end |
15470.01846875 |
transcript.pyannote[2872].speaker |
SPEAKER_22 |
transcript.pyannote[2872].start |
15470.06909375 |
transcript.pyannote[2872].end |
15470.08596875 |
transcript.pyannote[2873].speaker |
SPEAKER_05 |
transcript.pyannote[2873].start |
15470.08596875 |
transcript.pyannote[2873].end |
15470.10284375 |
transcript.pyannote[2874].speaker |
SPEAKER_22 |
transcript.pyannote[2874].start |
15470.10284375 |
transcript.pyannote[2874].end |
15470.47409375 |
transcript.pyannote[2875].speaker |
SPEAKER_05 |
transcript.pyannote[2875].start |
15470.47409375 |
transcript.pyannote[2875].end |
15470.49096875 |
transcript.pyannote[2876].speaker |
SPEAKER_05 |
transcript.pyannote[2876].start |
15470.54159375 |
transcript.pyannote[2876].end |
15474.37221875 |
transcript.pyannote[2877].speaker |
SPEAKER_05 |
transcript.pyannote[2877].start |
15474.99659375 |
transcript.pyannote[2877].end |
15477.59534375 |
transcript.pyannote[2878].speaker |
SPEAKER_05 |
transcript.pyannote[2878].start |
15477.98346875 |
transcript.pyannote[2878].end |
15478.87784375 |
transcript.pyannote[2879].speaker |
SPEAKER_05 |
transcript.pyannote[2879].start |
15479.29971875 |
transcript.pyannote[2879].end |
15480.56534375 |
transcript.pyannote[2880].speaker |
SPEAKER_05 |
transcript.pyannote[2880].start |
15481.35846875 |
transcript.pyannote[2880].end |
15486.60659375 |
transcript.pyannote[2881].speaker |
SPEAKER_05 |
transcript.pyannote[2881].start |
15487.46721875 |
transcript.pyannote[2881].end |
15488.27721875 |
transcript.pyannote[2882].speaker |
SPEAKER_05 |
transcript.pyannote[2882].start |
15488.51346875 |
transcript.pyannote[2882].end |
15513.80909375 |
transcript.pyannote[2883].speaker |
SPEAKER_16 |
transcript.pyannote[2883].start |
15515.04096875 |
transcript.pyannote[2883].end |
15520.06971875 |
transcript.pyannote[2884].speaker |
SPEAKER_16 |
transcript.pyannote[2884].start |
15520.23846875 |
transcript.pyannote[2884].end |
15522.11159375 |
transcript.pyannote[2885].speaker |
SPEAKER_16 |
transcript.pyannote[2885].start |
15522.46596875 |
transcript.pyannote[2885].end |
15524.62596875 |
transcript.pyannote[2886].speaker |
SPEAKER_16 |
transcript.pyannote[2886].start |
15524.99721875 |
transcript.pyannote[2886].end |
15527.39346875 |
transcript.pyannote[2887].speaker |
SPEAKER_16 |
transcript.pyannote[2887].start |
15527.56221875 |
transcript.pyannote[2887].end |
15599.02784375 |
transcript.pyannote[2888].speaker |
SPEAKER_05 |
transcript.pyannote[2888].start |
15596.39534375 |
transcript.pyannote[2888].end |
15596.83409375 |
transcript.pyannote[2889].speaker |
SPEAKER_05 |
transcript.pyannote[2889].start |
15597.50909375 |
transcript.pyannote[2889].end |
15598.42034375 |
transcript.pyannote[2890].speaker |
SPEAKER_05 |
transcript.pyannote[2890].start |
15599.02784375 |
transcript.pyannote[2890].end |
15613.32096875 |
transcript.pyannote[2891].speaker |
SPEAKER_05 |
transcript.pyannote[2891].start |
15613.60784375 |
transcript.pyannote[2891].end |
15614.41784375 |
transcript.pyannote[2892].speaker |
SPEAKER_05 |
transcript.pyannote[2892].start |
15615.36284375 |
transcript.pyannote[2892].end |
15628.60971875 |
transcript.pyannote[2893].speaker |
SPEAKER_05 |
transcript.pyannote[2893].start |
15629.09909375 |
transcript.pyannote[2893].end |
15633.46971875 |
transcript.pyannote[2894].speaker |
SPEAKER_05 |
transcript.pyannote[2894].start |
15633.57096875 |
transcript.pyannote[2894].end |
15634.54971875 |
transcript.pyannote[2895].speaker |
SPEAKER_05 |
transcript.pyannote[2895].start |
15634.81971875 |
transcript.pyannote[2895].end |
15636.37221875 |
transcript.pyannote[2896].speaker |
SPEAKER_05 |
transcript.pyannote[2896].start |
15639.22409375 |
transcript.pyannote[2896].end |
15639.67971875 |
transcript.pyannote[2897].speaker |
SPEAKER_05 |
transcript.pyannote[2897].start |
15639.78096875 |
transcript.pyannote[2897].end |
15643.03784375 |
transcript.pyannote[2898].speaker |
SPEAKER_05 |
transcript.pyannote[2898].start |
15643.30784375 |
transcript.pyannote[2898].end |
15648.60659375 |
transcript.pyannote[2899].speaker |
SPEAKER_05 |
transcript.pyannote[2899].start |
15649.24784375 |
transcript.pyannote[2899].end |
15649.80471875 |
transcript.pyannote[2900].speaker |
SPEAKER_05 |
transcript.pyannote[2900].start |
15650.31096875 |
transcript.pyannote[2900].end |
15650.80034375 |
transcript.pyannote[2901].speaker |
SPEAKER_05 |
transcript.pyannote[2901].start |
15651.93096875 |
transcript.pyannote[2901].end |
15654.61409375 |
transcript.pyannote[2902].speaker |
SPEAKER_05 |
transcript.pyannote[2902].start |
15655.06971875 |
transcript.pyannote[2902].end |
15663.05159375 |
transcript.pyannote[2903].speaker |
SPEAKER_05 |
transcript.pyannote[2903].start |
15663.70971875 |
transcript.pyannote[2903].end |
15667.27034375 |
transcript.pyannote[2904].speaker |
SPEAKER_05 |
transcript.pyannote[2904].start |
15667.91159375 |
transcript.pyannote[2904].end |
15671.21909375 |
transcript.pyannote[2905].speaker |
SPEAKER_05 |
transcript.pyannote[2905].start |
15671.65784375 |
transcript.pyannote[2905].end |
15687.19971875 |
transcript.pyannote[2906].speaker |
SPEAKER_05 |
transcript.pyannote[2906].start |
15688.27971875 |
transcript.pyannote[2906].end |
15688.98846875 |
transcript.pyannote[2907].speaker |
SPEAKER_05 |
transcript.pyannote[2907].start |
15689.91659375 |
transcript.pyannote[2907].end |
15690.55784375 |
transcript.pyannote[2908].speaker |
SPEAKER_02 |
transcript.pyannote[2908].start |
15690.55784375 |
transcript.pyannote[2908].end |
15690.57471875 |
transcript.pyannote[2909].speaker |
SPEAKER_16 |
transcript.pyannote[2909].start |
15691.06409375 |
transcript.pyannote[2909].end |
15691.30034375 |
transcript.pyannote[2910].speaker |
SPEAKER_02 |
transcript.pyannote[2910].start |
15692.21159375 |
transcript.pyannote[2910].end |
15692.65034375 |
transcript.pyannote[2911].speaker |
SPEAKER_05 |
transcript.pyannote[2911].start |
15692.65034375 |
transcript.pyannote[2911].end |
15692.98784375 |
transcript.pyannote[2912].speaker |
SPEAKER_02 |
transcript.pyannote[2912].start |
15692.98784375 |
transcript.pyannote[2912].end |
15693.03846875 |
transcript.pyannote[2913].speaker |
SPEAKER_16 |
transcript.pyannote[2913].start |
15693.62909375 |
transcript.pyannote[2913].end |
15703.53471875 |
transcript.pyannote[2914].speaker |
SPEAKER_05 |
transcript.pyannote[2914].start |
15703.68659375 |
transcript.pyannote[2914].end |
15716.98409375 |
transcript.pyannote[2915].speaker |
SPEAKER_05 |
transcript.pyannote[2915].start |
15717.59159375 |
transcript.pyannote[2915].end |
15722.13096875 |
transcript.pyannote[2916].speaker |
SPEAKER_05 |
transcript.pyannote[2916].start |
15722.58659375 |
transcript.pyannote[2916].end |
15742.00971875 |
transcript.pyannote[2917].speaker |
SPEAKER_16 |
transcript.pyannote[2917].start |
15735.39471875 |
transcript.pyannote[2917].end |
15736.39034375 |
transcript.pyannote[2918].speaker |
SPEAKER_05 |
transcript.pyannote[2918].start |
15742.81971875 |
transcript.pyannote[2918].end |
15743.32596875 |
transcript.pyannote[2919].speaker |
SPEAKER_05 |
transcript.pyannote[2919].start |
15743.47784375 |
transcript.pyannote[2919].end |
15743.96721875 |
transcript.pyannote[2920].speaker |
SPEAKER_05 |
transcript.pyannote[2920].start |
15744.74346875 |
transcript.pyannote[2920].end |
15757.48409375 |
transcript.pyannote[2921].speaker |
SPEAKER_05 |
transcript.pyannote[2921].start |
15757.99034375 |
transcript.pyannote[2921].end |
15758.78346875 |
transcript.pyannote[2922].speaker |
SPEAKER_05 |
transcript.pyannote[2922].start |
15759.34034375 |
transcript.pyannote[2922].end |
15772.50284375 |
transcript.pyannote[2923].speaker |
SPEAKER_05 |
transcript.pyannote[2923].start |
15773.07659375 |
transcript.pyannote[2923].end |
15776.36721875 |
transcript.pyannote[2924].speaker |
SPEAKER_05 |
transcript.pyannote[2924].start |
15776.82284375 |
transcript.pyannote[2924].end |
15780.90659375 |
transcript.pyannote[2925].speaker |
SPEAKER_05 |
transcript.pyannote[2925].start |
15781.48034375 |
transcript.pyannote[2925].end |
15785.00721875 |
transcript.pyannote[2926].speaker |
SPEAKER_05 |
transcript.pyannote[2926].start |
15785.86784375 |
transcript.pyannote[2926].end |
15791.03159375 |
transcript.pyannote[2927].speaker |
SPEAKER_05 |
transcript.pyannote[2927].start |
15791.60534375 |
transcript.pyannote[2927].end |
15794.27159375 |
transcript.pyannote[2928].speaker |
SPEAKER_05 |
transcript.pyannote[2928].start |
15794.92971875 |
transcript.pyannote[2928].end |
15795.63846875 |
transcript.pyannote[2929].speaker |
SPEAKER_05 |
transcript.pyannote[2929].start |
15796.04346875 |
transcript.pyannote[2929].end |
15796.41471875 |
transcript.pyannote[2930].speaker |
SPEAKER_05 |
transcript.pyannote[2930].start |
15797.08971875 |
transcript.pyannote[2930].end |
15804.41346875 |
transcript.pyannote[2931].speaker |
SPEAKER_05 |
transcript.pyannote[2931].start |
15805.93221875 |
transcript.pyannote[2931].end |
15807.11346875 |
transcript.pyannote[2932].speaker |
SPEAKER_05 |
transcript.pyannote[2932].start |
15807.87284375 |
transcript.pyannote[2932].end |
15809.17221875 |
transcript.pyannote[2933].speaker |
SPEAKER_05 |
transcript.pyannote[2933].start |
15809.99909375 |
transcript.pyannote[2933].end |
15811.21409375 |
transcript.pyannote[2934].speaker |
SPEAKER_05 |
transcript.pyannote[2934].start |
15811.61909375 |
transcript.pyannote[2934].end |
15817.22159375 |
transcript.pyannote[2935].speaker |
SPEAKER_05 |
transcript.pyannote[2935].start |
15818.01471875 |
transcript.pyannote[2935].end |
15826.58721875 |
transcript.pyannote[2936].speaker |
SPEAKER_05 |
transcript.pyannote[2936].start |
15827.31284375 |
transcript.pyannote[2936].end |
15832.47659375 |
transcript.pyannote[2937].speaker |
SPEAKER_05 |
transcript.pyannote[2937].start |
15833.10096875 |
transcript.pyannote[2937].end |
15840.77909375 |
transcript.pyannote[2938].speaker |
SPEAKER_05 |
transcript.pyannote[2938].start |
15841.21784375 |
transcript.pyannote[2938].end |
15850.95471875 |
transcript.pyannote[2939].speaker |
SPEAKER_05 |
transcript.pyannote[2939].start |
15851.29221875 |
transcript.pyannote[2939].end |
15871.15409375 |
transcript.pyannote[2940].speaker |
SPEAKER_05 |
transcript.pyannote[2940].start |
15871.82909375 |
transcript.pyannote[2940].end |
15874.39409375 |
transcript.pyannote[2941].speaker |
SPEAKER_05 |
transcript.pyannote[2941].start |
15874.59659375 |
transcript.pyannote[2941].end |
15882.78096875 |
transcript.pyannote[2942].speaker |
SPEAKER_05 |
transcript.pyannote[2942].start |
15883.30409375 |
transcript.pyannote[2942].end |
15887.87721875 |
transcript.pyannote[2943].speaker |
SPEAKER_05 |
transcript.pyannote[2943].start |
15889.22721875 |
transcript.pyannote[2943].end |
15890.96534375 |
transcript.pyannote[2944].speaker |
SPEAKER_05 |
transcript.pyannote[2944].start |
15891.52221875 |
transcript.pyannote[2944].end |
15909.67971875 |
transcript.pyannote[2945].speaker |
SPEAKER_05 |
transcript.pyannote[2945].start |
15910.13534375 |
transcript.pyannote[2945].end |
15913.08846875 |
transcript.pyannote[2946].speaker |
SPEAKER_05 |
transcript.pyannote[2946].start |
15913.35846875 |
transcript.pyannote[2946].end |
15944.50971875 |
transcript.pyannote[2947].speaker |
SPEAKER_05 |
transcript.pyannote[2947].start |
15944.98221875 |
transcript.pyannote[2947].end |
15947.59784375 |
transcript.pyannote[2948].speaker |
SPEAKER_05 |
transcript.pyannote[2948].start |
15948.13784375 |
transcript.pyannote[2948].end |
15950.48346875 |
transcript.pyannote[2949].speaker |
SPEAKER_05 |
transcript.pyannote[2949].start |
15950.95596875 |
transcript.pyannote[2949].end |
15952.20471875 |
transcript.pyannote[2950].speaker |
SPEAKER_05 |
transcript.pyannote[2950].start |
15952.91346875 |
transcript.pyannote[2950].end |
15953.53784375 |
transcript.pyannote[2951].speaker |
SPEAKER_05 |
transcript.pyannote[2951].start |
15953.95971875 |
transcript.pyannote[2951].end |
15954.71909375 |
transcript.pyannote[2952].speaker |
SPEAKER_05 |
transcript.pyannote[2952].start |
15955.09034375 |
transcript.pyannote[2952].end |
15959.95034375 |
transcript.pyannote[2953].speaker |
SPEAKER_05 |
transcript.pyannote[2953].start |
15960.27096875 |
transcript.pyannote[2953].end |
15972.06659375 |
transcript.pyannote[2954].speaker |
SPEAKER_07 |
transcript.pyannote[2954].start |
15971.07096875 |
transcript.pyannote[2954].end |
15972.89346875 |
transcript.pyannote[2955].speaker |
SPEAKER_07 |
transcript.pyannote[2955].start |
15973.24784375 |
transcript.pyannote[2955].end |
15973.73721875 |
transcript.pyannote[2956].speaker |
SPEAKER_05 |
transcript.pyannote[2956].start |
15974.42909375 |
transcript.pyannote[2956].end |
15974.44596875 |
transcript.pyannote[2957].speaker |
SPEAKER_27 |
transcript.pyannote[2957].start |
15974.44596875 |
transcript.pyannote[2957].end |
15976.09971875 |
transcript.pyannote[2958].speaker |
SPEAKER_27 |
transcript.pyannote[2958].start |
15976.74096875 |
transcript.pyannote[2958].end |
15978.64784375 |
transcript.pyannote[2959].speaker |
SPEAKER_22 |
transcript.pyannote[2959].start |
15978.76596875 |
transcript.pyannote[2959].end |
15978.79971875 |
transcript.pyannote[2960].speaker |
SPEAKER_27 |
transcript.pyannote[2960].start |
15978.79971875 |
transcript.pyannote[2960].end |
15978.81659375 |
transcript.pyannote[2961].speaker |
SPEAKER_22 |
transcript.pyannote[2961].start |
15978.81659375 |
transcript.pyannote[2961].end |
15978.86721875 |
transcript.pyannote[2962].speaker |
SPEAKER_27 |
transcript.pyannote[2962].start |
15978.86721875 |
transcript.pyannote[2962].end |
15978.96846875 |
transcript.pyannote[2963].speaker |
SPEAKER_22 |
transcript.pyannote[2963].start |
15978.96846875 |
transcript.pyannote[2963].end |
15979.01909375 |
transcript.pyannote[2964].speaker |
SPEAKER_27 |
transcript.pyannote[2964].start |
15979.01909375 |
transcript.pyannote[2964].end |
15981.44909375 |
transcript.pyannote[2965].speaker |
SPEAKER_22 |
transcript.pyannote[2965].start |
15979.17096875 |
transcript.pyannote[2965].end |
15979.18784375 |
transcript.pyannote[2966].speaker |
SPEAKER_27 |
transcript.pyannote[2966].start |
15982.29284375 |
transcript.pyannote[2966].end |
15982.66409375 |
transcript.pyannote[2967].speaker |
SPEAKER_27 |
transcript.pyannote[2967].start |
15983.00159375 |
transcript.pyannote[2967].end |
15984.73971875 |
transcript.pyannote[2968].speaker |
SPEAKER_27 |
transcript.pyannote[2968].start |
15985.48221875 |
transcript.pyannote[2968].end |
15987.55784375 |
transcript.pyannote[2969].speaker |
SPEAKER_27 |
transcript.pyannote[2969].start |
15988.48596875 |
transcript.pyannote[2969].end |
15990.49409375 |
transcript.pyannote[2970].speaker |
SPEAKER_27 |
transcript.pyannote[2970].start |
15991.00034375 |
transcript.pyannote[2970].end |
15992.04659375 |
transcript.pyannote[2971].speaker |
SPEAKER_27 |
transcript.pyannote[2971].start |
15992.62034375 |
transcript.pyannote[2971].end |
15995.84346875 |
transcript.pyannote[2972].speaker |
SPEAKER_27 |
transcript.pyannote[2972].start |
15996.26534375 |
transcript.pyannote[2972].end |
15997.66596875 |
transcript.pyannote[2973].speaker |
SPEAKER_27 |
transcript.pyannote[2973].start |
15998.35784375 |
transcript.pyannote[2973].end |
16001.88471875 |
transcript.pyannote[2974].speaker |
SPEAKER_27 |
transcript.pyannote[2974].start |
16003.72409375 |
transcript.pyannote[2974].end |
16006.72784375 |
transcript.pyannote[2975].speaker |
SPEAKER_13 |
transcript.pyannote[2975].start |
16009.05659375 |
transcript.pyannote[2975].end |
16009.59659375 |
transcript.pyannote[2976].speaker |
SPEAKER_15 |
transcript.pyannote[2976].start |
16018.21971875 |
transcript.pyannote[2976].end |
16019.09721875 |
transcript.pyannote[2977].speaker |
SPEAKER_15 |
transcript.pyannote[2977].start |
16019.56971875 |
transcript.pyannote[2977].end |
16019.58659375 |
transcript.pyannote[2978].speaker |
SPEAKER_05 |
transcript.pyannote[2978].start |
16019.58659375 |
transcript.pyannote[2978].end |
16021.56096875 |
transcript.pyannote[2979].speaker |
SPEAKER_05 |
transcript.pyannote[2979].start |
16028.81721875 |
transcript.pyannote[2979].end |
16028.83409375 |
transcript.pyannote[2980].speaker |
SPEAKER_15 |
transcript.pyannote[2980].start |
16028.83409375 |
transcript.pyannote[2980].end |
16029.28971875 |
transcript.pyannote[2981].speaker |
SPEAKER_15 |
transcript.pyannote[2981].start |
16029.93096875 |
transcript.pyannote[2981].end |
16030.79159375 |
transcript.pyannote[2982].speaker |
SPEAKER_15 |
transcript.pyannote[2982].start |
16031.07846875 |
transcript.pyannote[2982].end |
16034.20034375 |
transcript.pyannote[2983].speaker |
SPEAKER_15 |
transcript.pyannote[2983].start |
16034.62221875 |
transcript.pyannote[2983].end |
16040.52846875 |
transcript.pyannote[2984].speaker |
SPEAKER_15 |
transcript.pyannote[2984].start |
16041.15284375 |
transcript.pyannote[2984].end |
16045.75971875 |
transcript.pyannote[2985].speaker |
SPEAKER_15 |
transcript.pyannote[2985].start |
16047.41346875 |
transcript.pyannote[2985].end |
16050.41721875 |
transcript.pyannote[2986].speaker |
SPEAKER_15 |
transcript.pyannote[2986].start |
16051.17659375 |
transcript.pyannote[2986].end |
16054.31534375 |
transcript.pyannote[2987].speaker |
SPEAKER_15 |
transcript.pyannote[2987].start |
16054.87221875 |
transcript.pyannote[2987].end |
16057.65659375 |
transcript.pyannote[2988].speaker |
SPEAKER_15 |
transcript.pyannote[2988].start |
16059.95159375 |
transcript.pyannote[2988].end |
16062.01034375 |
transcript.pyannote[2989].speaker |
SPEAKER_15 |
transcript.pyannote[2989].start |
16062.43221875 |
transcript.pyannote[2989].end |
16066.09409375 |
transcript.pyannote[2990].speaker |
SPEAKER_15 |
transcript.pyannote[2990].start |
16067.30909375 |
transcript.pyannote[2990].end |
16068.03471875 |
transcript.pyannote[2991].speaker |
SPEAKER_15 |
transcript.pyannote[2991].start |
16069.48596875 |
transcript.pyannote[2991].end |
16070.43096875 |
transcript.pyannote[2992].speaker |
SPEAKER_15 |
transcript.pyannote[2992].start |
16071.69659375 |
transcript.pyannote[2992].end |
16076.10096875 |
transcript.pyannote[2993].speaker |
SPEAKER_15 |
transcript.pyannote[2993].start |
16077.51846875 |
transcript.pyannote[2993].end |
16078.26096875 |
transcript.pyannote[2994].speaker |
SPEAKER_00 |
transcript.pyannote[2994].start |
16077.58596875 |
transcript.pyannote[2994].end |
16077.83909375 |
transcript.pyannote[2995].speaker |
SPEAKER_15 |
transcript.pyannote[2995].start |
16079.05409375 |
transcript.pyannote[2995].end |
16080.16784375 |
transcript.pyannote[2996].speaker |
SPEAKER_15 |
transcript.pyannote[2996].start |
16080.74159375 |
transcript.pyannote[2996].end |
16081.23096875 |
transcript.pyannote[2997].speaker |
SPEAKER_15 |
transcript.pyannote[2997].start |
16083.72846875 |
transcript.pyannote[2997].end |
16089.33096875 |
transcript.pyannote[2998].speaker |
SPEAKER_15 |
transcript.pyannote[2998].start |
16090.12409375 |
transcript.pyannote[2998].end |
16092.19971875 |
transcript.pyannote[2999].speaker |
SPEAKER_15 |
transcript.pyannote[2999].start |
16092.68909375 |
transcript.pyannote[2999].end |
16097.58284375 |
transcript.pyannote[3000].speaker |
SPEAKER_15 |
transcript.pyannote[3000].start |
16100.29971875 |
transcript.pyannote[3000].end |
16102.03784375 |
transcript.pyannote[3001].speaker |
SPEAKER_15 |
transcript.pyannote[3001].start |
16102.47659375 |
transcript.pyannote[3001].end |
16104.43409375 |
transcript.pyannote[3002].speaker |
SPEAKER_15 |
transcript.pyannote[3002].start |
16105.49721875 |
transcript.pyannote[3002].end |
16107.10034375 |
transcript.pyannote[3003].speaker |
SPEAKER_15 |
transcript.pyannote[3003].start |
16107.58971875 |
transcript.pyannote[3003].end |
16113.58034375 |
transcript.pyannote[3004].speaker |
SPEAKER_22 |
transcript.pyannote[3004].start |
16113.58034375 |
transcript.pyannote[3004].end |
16114.40721875 |
transcript.pyannote[3005].speaker |
SPEAKER_15 |
transcript.pyannote[3005].start |
16115.80784375 |
transcript.pyannote[3005].end |
16116.55034375 |
transcript.pyannote[3006].speaker |
SPEAKER_15 |
transcript.pyannote[3006].start |
16118.01846875 |
transcript.pyannote[3006].end |
16121.91659375 |
transcript.pyannote[3007].speaker |
SPEAKER_15 |
transcript.pyannote[3007].start |
16122.30471875 |
transcript.pyannote[3007].end |
16123.30034375 |
transcript.pyannote[3008].speaker |
SPEAKER_15 |
transcript.pyannote[3008].start |
16124.07659375 |
transcript.pyannote[3008].end |
16124.48159375 |
transcript.pyannote[3009].speaker |
SPEAKER_15 |
transcript.pyannote[3009].start |
16125.25784375 |
transcript.pyannote[3009].end |
16127.33346875 |
transcript.pyannote[3010].speaker |
SPEAKER_15 |
transcript.pyannote[3010].start |
16127.62034375 |
transcript.pyannote[3010].end |
16131.51846875 |
transcript.pyannote[3011].speaker |
SPEAKER_15 |
transcript.pyannote[3011].start |
16132.49721875 |
transcript.pyannote[3011].end |
16135.16346875 |
transcript.pyannote[3012].speaker |
SPEAKER_15 |
transcript.pyannote[3012].start |
16135.75409375 |
transcript.pyannote[3012].end |
16137.91409375 |
transcript.pyannote[3013].speaker |
SPEAKER_15 |
transcript.pyannote[3013].start |
16138.11659375 |
transcript.pyannote[3013].end |
16145.91284375 |
transcript.pyannote[3014].speaker |
SPEAKER_15 |
transcript.pyannote[3014].start |
16146.52034375 |
transcript.pyannote[3014].end |
16146.94221875 |
transcript.pyannote[3015].speaker |
SPEAKER_22 |
transcript.pyannote[3015].start |
16146.68909375 |
transcript.pyannote[3015].end |
16146.72284375 |
transcript.pyannote[3016].speaker |
SPEAKER_15 |
transcript.pyannote[3016].start |
16147.33034375 |
transcript.pyannote[3016].end |
16149.70971875 |
transcript.pyannote[3017].speaker |
SPEAKER_15 |
transcript.pyannote[3017].start |
16150.48596875 |
transcript.pyannote[3017].end |
16151.48159375 |
transcript.pyannote[3018].speaker |
SPEAKER_15 |
transcript.pyannote[3018].start |
16152.34221875 |
transcript.pyannote[3018].end |
16153.20284375 |
transcript.pyannote[3019].speaker |
SPEAKER_15 |
transcript.pyannote[3019].start |
16153.40534375 |
transcript.pyannote[3019].end |
16157.01659375 |
transcript.pyannote[3020].speaker |
SPEAKER_07 |
transcript.pyannote[3020].start |
16157.99534375 |
transcript.pyannote[3020].end |
16158.87284375 |
transcript.pyannote[3021].speaker |
SPEAKER_15 |
transcript.pyannote[3021].start |
16158.87284375 |
transcript.pyannote[3021].end |
16160.45909375 |
transcript.pyannote[3022].speaker |
SPEAKER_15 |
transcript.pyannote[3022].start |
16161.06659375 |
transcript.pyannote[3022].end |
16162.23096875 |
transcript.pyannote[3023].speaker |
SPEAKER_15 |
transcript.pyannote[3023].start |
16162.93971875 |
transcript.pyannote[3023].end |
16163.81721875 |
transcript.pyannote[3024].speaker |
SPEAKER_15 |
transcript.pyannote[3024].start |
16164.03659375 |
transcript.pyannote[3024].end |
16164.54284375 |
transcript.pyannote[3025].speaker |
SPEAKER_15 |
transcript.pyannote[3025].start |
16165.28534375 |
transcript.pyannote[3025].end |
16167.59721875 |
transcript.pyannote[3026].speaker |
SPEAKER_15 |
transcript.pyannote[3026].start |
16167.93471875 |
transcript.pyannote[3026].end |
16168.40721875 |
transcript.pyannote[3027].speaker |
SPEAKER_15 |
transcript.pyannote[3027].start |
16170.24659375 |
transcript.pyannote[3027].end |
16174.38096875 |
transcript.pyannote[3028].speaker |
SPEAKER_15 |
transcript.pyannote[3028].start |
16175.35971875 |
transcript.pyannote[3028].end |
16179.47721875 |
transcript.pyannote[3029].speaker |
SPEAKER_22 |
transcript.pyannote[3029].start |
16179.47721875 |
transcript.pyannote[3029].end |
16179.91596875 |
transcript.pyannote[3030].speaker |
SPEAKER_15 |
transcript.pyannote[3030].start |
16179.98346875 |
transcript.pyannote[3030].end |
16185.02909375 |
transcript.pyannote[3031].speaker |
SPEAKER_22 |
transcript.pyannote[3031].start |
16185.02909375 |
transcript.pyannote[3031].end |
16185.73784375 |
transcript.pyannote[3032].speaker |
SPEAKER_15 |
transcript.pyannote[3032].start |
16185.80534375 |
transcript.pyannote[3032].end |
16189.04534375 |
transcript.pyannote[3033].speaker |
SPEAKER_15 |
transcript.pyannote[3033].start |
16190.85096875 |
transcript.pyannote[3033].end |
16196.77409375 |
transcript.pyannote[3034].speaker |
SPEAKER_15 |
transcript.pyannote[3034].start |
16197.49971875 |
transcript.pyannote[3034].end |
16198.88346875 |
transcript.pyannote[3035].speaker |
SPEAKER_07 |
transcript.pyannote[3035].start |
16199.94659375 |
transcript.pyannote[3035].end |
16214.98221875 |
transcript.pyannote[3036].speaker |
SPEAKER_15 |
transcript.pyannote[3036].start |
16216.33221875 |
transcript.pyannote[3036].end |
16223.87534375 |
transcript.pyannote[3037].speaker |
SPEAKER_07 |
transcript.pyannote[3037].start |
16217.73284375 |
transcript.pyannote[3037].end |
16217.83409375 |
transcript.pyannote[3038].speaker |
SPEAKER_22 |
transcript.pyannote[3038].start |
16223.87534375 |
transcript.pyannote[3038].end |
16224.17909375 |
transcript.pyannote[3039].speaker |
SPEAKER_15 |
transcript.pyannote[3039].start |
16223.94284375 |
transcript.pyannote[3039].end |
16227.68909375 |
transcript.pyannote[3040].speaker |
SPEAKER_15 |
transcript.pyannote[3040].start |
16228.14471875 |
transcript.pyannote[3040].end |
16229.64659375 |
transcript.pyannote[3041].speaker |
SPEAKER_15 |
transcript.pyannote[3041].start |
16231.13159375 |
transcript.pyannote[3041].end |
16234.50659375 |
transcript.pyannote[3042].speaker |
SPEAKER_15 |
transcript.pyannote[3042].start |
16235.51909375 |
transcript.pyannote[3042].end |
16236.34596875 |
transcript.pyannote[3043].speaker |
SPEAKER_15 |
transcript.pyannote[3043].start |
16237.57784375 |
transcript.pyannote[3043].end |
16239.07971875 |
transcript.pyannote[3044].speaker |
SPEAKER_15 |
transcript.pyannote[3044].start |
16239.63659375 |
transcript.pyannote[3044].end |
16247.68596875 |
transcript.pyannote[3045].speaker |
SPEAKER_15 |
transcript.pyannote[3045].start |
16248.29346875 |
transcript.pyannote[3045].end |
16252.98471875 |
transcript.pyannote[3046].speaker |
SPEAKER_15 |
transcript.pyannote[3046].start |
16253.38971875 |
transcript.pyannote[3046].end |
16255.21221875 |
transcript.pyannote[3047].speaker |
SPEAKER_15 |
transcript.pyannote[3047].start |
16256.17409375 |
transcript.pyannote[3047].end |
16257.62534375 |
transcript.pyannote[3048].speaker |
SPEAKER_15 |
transcript.pyannote[3048].start |
16257.86159375 |
transcript.pyannote[3048].end |
16259.32971875 |
transcript.pyannote[3049].speaker |
SPEAKER_15 |
transcript.pyannote[3049].start |
16260.12284375 |
transcript.pyannote[3049].end |
16265.57346875 |
transcript.pyannote[3050].speaker |
SPEAKER_15 |
transcript.pyannote[3050].start |
16265.86034375 |
transcript.pyannote[3050].end |
16267.69971875 |
transcript.pyannote[3051].speaker |
SPEAKER_15 |
transcript.pyannote[3051].start |
16267.96971875 |
transcript.pyannote[3051].end |
16269.38721875 |
transcript.pyannote[3052].speaker |
SPEAKER_15 |
transcript.pyannote[3052].start |
16270.16346875 |
transcript.pyannote[3052].end |
16272.67784375 |
transcript.pyannote[3053].speaker |
SPEAKER_15 |
transcript.pyannote[3053].start |
16273.26846875 |
transcript.pyannote[3053].end |
16273.57221875 |
transcript.pyannote[3054].speaker |
SPEAKER_15 |
transcript.pyannote[3054].start |
16275.00659375 |
transcript.pyannote[3054].end |
16276.89659375 |
transcript.pyannote[3055].speaker |
SPEAKER_15 |
transcript.pyannote[3055].start |
16277.14971875 |
transcript.pyannote[3055].end |
16277.92596875 |
transcript.pyannote[3056].speaker |
SPEAKER_15 |
transcript.pyannote[3056].start |
16278.48284375 |
transcript.pyannote[3056].end |
16280.94659375 |
transcript.pyannote[3057].speaker |
SPEAKER_15 |
transcript.pyannote[3057].start |
16281.41909375 |
transcript.pyannote[3057].end |
16282.88721875 |
transcript.pyannote[3058].speaker |
SPEAKER_15 |
transcript.pyannote[3058].start |
16283.51159375 |
transcript.pyannote[3058].end |
16284.54096875 |
transcript.pyannote[3059].speaker |
SPEAKER_15 |
transcript.pyannote[3059].start |
16284.87846875 |
transcript.pyannote[3059].end |
16290.93659375 |
transcript.pyannote[3060].speaker |
SPEAKER_15 |
transcript.pyannote[3060].start |
16291.34159375 |
transcript.pyannote[3060].end |
16299.62721875 |
transcript.pyannote[3061].speaker |
SPEAKER_15 |
transcript.pyannote[3061].start |
16299.86346875 |
transcript.pyannote[3061].end |
16302.36096875 |
transcript.pyannote[3062].speaker |
SPEAKER_22 |
transcript.pyannote[3062].start |
16302.36096875 |
transcript.pyannote[3062].end |
16302.63096875 |
transcript.pyannote[3063].speaker |
SPEAKER_15 |
transcript.pyannote[3063].start |
16302.63096875 |
transcript.pyannote[3063].end |
16304.41971875 |
transcript.pyannote[3064].speaker |
SPEAKER_15 |
transcript.pyannote[3064].start |
16304.90909375 |
transcript.pyannote[3064].end |
16313.49846875 |
transcript.pyannote[3065].speaker |
SPEAKER_22 |
transcript.pyannote[3065].start |
16307.37284375 |
transcript.pyannote[3065].end |
16307.87909375 |
transcript.pyannote[3066].speaker |
SPEAKER_05 |
transcript.pyannote[3066].start |
16310.61284375 |
transcript.pyannote[3066].end |
16310.64659375 |
transcript.pyannote[3067].speaker |
SPEAKER_05 |
transcript.pyannote[3067].start |
16313.49846875 |
transcript.pyannote[3067].end |
16313.59971875 |
transcript.pyannote[3068].speaker |
SPEAKER_15 |
transcript.pyannote[3068].start |
16313.59971875 |
transcript.pyannote[3068].end |
16313.68409375 |
transcript.pyannote[3069].speaker |
SPEAKER_05 |
transcript.pyannote[3069].start |
16313.68409375 |
transcript.pyannote[3069].end |
16314.76409375 |
transcript.pyannote[3070].speaker |
SPEAKER_05 |
transcript.pyannote[3070].start |
16316.36721875 |
transcript.pyannote[3070].end |
16319.23596875 |
transcript.pyannote[3071].speaker |
SPEAKER_05 |
transcript.pyannote[3071].start |
16319.75909375 |
transcript.pyannote[3071].end |
16322.62784375 |
transcript.pyannote[3072].speaker |
SPEAKER_18 |
transcript.pyannote[3072].start |
16337.10659375 |
transcript.pyannote[3072].end |
16337.93346875 |
transcript.pyannote[3073].speaker |
SPEAKER_18 |
transcript.pyannote[3073].start |
16338.33846875 |
transcript.pyannote[3073].end |
16340.88659375 |
transcript.pyannote[3074].speaker |
SPEAKER_05 |
transcript.pyannote[3074].start |
16341.39284375 |
transcript.pyannote[3074].end |
16342.67534375 |
transcript.pyannote[3075].speaker |
SPEAKER_18 |
transcript.pyannote[3075].start |
16342.81034375 |
transcript.pyannote[3075].end |
16344.64971875 |
transcript.pyannote[3076].speaker |
SPEAKER_18 |
transcript.pyannote[3076].start |
16344.85221875 |
transcript.pyannote[3076].end |
16345.72971875 |
transcript.pyannote[3077].speaker |
SPEAKER_05 |
transcript.pyannote[3077].start |
16345.07159375 |
transcript.pyannote[3077].end |
16347.18096875 |
transcript.pyannote[3078].speaker |
SPEAKER_18 |
transcript.pyannote[3078].start |
16351.75409375 |
transcript.pyannote[3078].end |
16356.96846875 |
transcript.pyannote[3079].speaker |
SPEAKER_05 |
transcript.pyannote[3079].start |
16352.47971875 |
transcript.pyannote[3079].end |
16352.49659375 |
transcript.pyannote[3080].speaker |
SPEAKER_16 |
transcript.pyannote[3080].start |
16352.49659375 |
transcript.pyannote[3080].end |
16352.93534375 |
transcript.pyannote[3081].speaker |
SPEAKER_16 |
transcript.pyannote[3081].start |
16356.09096875 |
transcript.pyannote[3081].end |
16356.79971875 |
transcript.pyannote[3082].speaker |
SPEAKER_18 |
transcript.pyannote[3082].start |
16359.28034375 |
transcript.pyannote[3082].end |
16361.94659375 |
transcript.pyannote[3083].speaker |
SPEAKER_18 |
transcript.pyannote[3083].start |
16362.45284375 |
transcript.pyannote[3083].end |
16363.75221875 |
transcript.pyannote[3084].speaker |
SPEAKER_18 |
transcript.pyannote[3084].start |
16363.85346875 |
transcript.pyannote[3084].end |
16365.79409375 |
transcript.pyannote[3085].speaker |
SPEAKER_18 |
transcript.pyannote[3085].start |
16366.72221875 |
transcript.pyannote[3085].end |
16372.35846875 |
transcript.pyannote[3086].speaker |
SPEAKER_18 |
transcript.pyannote[3086].start |
16372.86471875 |
transcript.pyannote[3086].end |
16373.87721875 |
transcript.pyannote[3087].speaker |
SPEAKER_18 |
transcript.pyannote[3087].start |
16374.58596875 |
transcript.pyannote[3087].end |
16380.01971875 |
transcript.pyannote[3088].speaker |
SPEAKER_18 |
transcript.pyannote[3088].start |
16380.99846875 |
transcript.pyannote[3088].end |
16383.41159375 |
transcript.pyannote[3089].speaker |
SPEAKER_18 |
transcript.pyannote[3089].start |
16383.96846875 |
transcript.pyannote[3089].end |
16386.55034375 |
transcript.pyannote[3090].speaker |
SPEAKER_18 |
transcript.pyannote[3090].start |
16387.66409375 |
transcript.pyannote[3090].end |
16389.14909375 |
transcript.pyannote[3091].speaker |
SPEAKER_18 |
transcript.pyannote[3091].start |
16390.73534375 |
transcript.pyannote[3091].end |
16393.45221875 |
transcript.pyannote[3092].speaker |
SPEAKER_18 |
transcript.pyannote[3092].start |
16394.34659375 |
transcript.pyannote[3092].end |
16406.02409375 |
transcript.pyannote[3093].speaker |
SPEAKER_18 |
transcript.pyannote[3093].start |
16407.00284375 |
transcript.pyannote[3093].end |
16409.65221875 |
transcript.pyannote[3094].speaker |
SPEAKER_18 |
transcript.pyannote[3094].start |
16409.97284375 |
transcript.pyannote[3094].end |
16410.02346875 |
transcript.pyannote[3095].speaker |
SPEAKER_18 |
transcript.pyannote[3095].start |
16410.32721875 |
transcript.pyannote[3095].end |
16414.09034375 |
transcript.pyannote[3096].speaker |
SPEAKER_18 |
transcript.pyannote[3096].start |
16415.11971875 |
transcript.pyannote[3096].end |
16416.72284375 |
transcript.pyannote[3097].speaker |
SPEAKER_18 |
transcript.pyannote[3097].start |
16417.68471875 |
transcript.pyannote[3097].end |
16420.14846875 |
transcript.pyannote[3098].speaker |
SPEAKER_18 |
transcript.pyannote[3098].start |
16421.76846875 |
transcript.pyannote[3098].end |
16422.84846875 |
transcript.pyannote[3099].speaker |
SPEAKER_18 |
transcript.pyannote[3099].start |
16423.40534375 |
transcript.pyannote[3099].end |
16427.97846875 |
transcript.pyannote[3100].speaker |
SPEAKER_18 |
transcript.pyannote[3100].start |
16428.14721875 |
transcript.pyannote[3100].end |
16428.60284375 |
transcript.pyannote[3101].speaker |
SPEAKER_18 |
transcript.pyannote[3101].start |
16430.08784375 |
transcript.pyannote[3101].end |
16437.12471875 |
transcript.pyannote[3102].speaker |
SPEAKER_18 |
transcript.pyannote[3102].start |
16438.05284375 |
transcript.pyannote[3102].end |
16441.34346875 |
transcript.pyannote[3103].speaker |
SPEAKER_18 |
transcript.pyannote[3103].start |
16442.47409375 |
transcript.pyannote[3103].end |
16451.41784375 |
transcript.pyannote[3104].speaker |
SPEAKER_18 |
transcript.pyannote[3104].start |
16452.32909375 |
transcript.pyannote[3104].end |
16454.05034375 |
transcript.pyannote[3105].speaker |
SPEAKER_18 |
transcript.pyannote[3105].start |
16454.16846875 |
transcript.pyannote[3105].end |
16460.78346875 |
transcript.pyannote[3106].speaker |
SPEAKER_18 |
transcript.pyannote[3106].start |
16461.54284375 |
transcript.pyannote[3106].end |
16463.75346875 |
transcript.pyannote[3107].speaker |
SPEAKER_18 |
transcript.pyannote[3107].start |
16465.25534375 |
transcript.pyannote[3107].end |
16467.26346875 |
transcript.pyannote[3108].speaker |
SPEAKER_18 |
transcript.pyannote[3108].start |
16468.39409375 |
transcript.pyannote[3108].end |
16469.40659375 |
transcript.pyannote[3109].speaker |
SPEAKER_18 |
transcript.pyannote[3109].start |
16469.57534375 |
transcript.pyannote[3109].end |
16472.69721875 |
transcript.pyannote[3110].speaker |
SPEAKER_18 |
transcript.pyannote[3110].start |
16473.22034375 |
transcript.pyannote[3110].end |
16476.00471875 |
transcript.pyannote[3111].speaker |
SPEAKER_18 |
transcript.pyannote[3111].start |
16476.37596875 |
transcript.pyannote[3111].end |
16477.89471875 |
transcript.pyannote[3112].speaker |
SPEAKER_18 |
transcript.pyannote[3112].start |
16478.53596875 |
transcript.pyannote[3112].end |
16480.98284375 |
transcript.pyannote[3113].speaker |
SPEAKER_18 |
transcript.pyannote[3113].start |
16481.89409375 |
transcript.pyannote[3113].end |
16484.03721875 |
transcript.pyannote[3114].speaker |
SPEAKER_22 |
transcript.pyannote[3114].start |
16484.05409375 |
transcript.pyannote[3114].end |
16484.40846875 |
transcript.pyannote[3115].speaker |
SPEAKER_18 |
transcript.pyannote[3115].start |
16484.40846875 |
transcript.pyannote[3115].end |
16486.11284375 |
transcript.pyannote[3116].speaker |
SPEAKER_18 |
transcript.pyannote[3116].start |
16486.51784375 |
transcript.pyannote[3116].end |
16488.79596875 |
transcript.pyannote[3117].speaker |
SPEAKER_18 |
transcript.pyannote[3117].start |
16490.46659375 |
transcript.pyannote[3117].end |
16491.39471875 |
transcript.pyannote[3118].speaker |
SPEAKER_18 |
transcript.pyannote[3118].start |
16492.01909375 |
transcript.pyannote[3118].end |
16493.52096875 |
transcript.pyannote[3119].speaker |
SPEAKER_18 |
transcript.pyannote[3119].start |
16494.14534375 |
transcript.pyannote[3119].end |
16495.20846875 |
transcript.pyannote[3120].speaker |
SPEAKER_18 |
transcript.pyannote[3120].start |
16496.82846875 |
transcript.pyannote[3120].end |
16499.83221875 |
transcript.pyannote[3121].speaker |
SPEAKER_18 |
transcript.pyannote[3121].start |
16500.59159375 |
transcript.pyannote[3121].end |
16508.37096875 |
transcript.pyannote[3122].speaker |
SPEAKER_18 |
transcript.pyannote[3122].start |
16508.97846875 |
transcript.pyannote[3122].end |
16509.55221875 |
transcript.pyannote[3123].speaker |
SPEAKER_18 |
transcript.pyannote[3123].start |
16510.93596875 |
transcript.pyannote[3123].end |
16512.01596875 |
transcript.pyannote[3124].speaker |
SPEAKER_18 |
transcript.pyannote[3124].start |
16512.57284375 |
transcript.pyannote[3124].end |
16513.77096875 |
transcript.pyannote[3125].speaker |
SPEAKER_18 |
transcript.pyannote[3125].start |
16514.63159375 |
transcript.pyannote[3125].end |
16520.63909375 |
transcript.pyannote[3126].speaker |
SPEAKER_18 |
transcript.pyannote[3126].start |
16521.21284375 |
transcript.pyannote[3126].end |
16522.29284375 |
transcript.pyannote[3127].speaker |
SPEAKER_18 |
transcript.pyannote[3127].start |
16522.71471875 |
transcript.pyannote[3127].end |
16524.09846875 |
transcript.pyannote[3128].speaker |
SPEAKER_18 |
transcript.pyannote[3128].start |
16524.75659375 |
transcript.pyannote[3128].end |
16525.46534375 |
transcript.pyannote[3129].speaker |
SPEAKER_18 |
transcript.pyannote[3129].start |
16526.54534375 |
transcript.pyannote[3129].end |
16534.66221875 |
transcript.pyannote[3130].speaker |
SPEAKER_18 |
transcript.pyannote[3130].start |
16535.33721875 |
transcript.pyannote[3130].end |
16538.02034375 |
transcript.pyannote[3131].speaker |
SPEAKER_18 |
transcript.pyannote[3131].start |
16538.72909375 |
transcript.pyannote[3131].end |
16539.04971875 |
transcript.pyannote[3132].speaker |
SPEAKER_18 |
transcript.pyannote[3132].start |
16539.40409375 |
transcript.pyannote[3132].end |
16540.09596875 |
transcript.pyannote[3133].speaker |
SPEAKER_18 |
transcript.pyannote[3133].start |
16540.78784375 |
transcript.pyannote[3133].end |
16547.90909375 |
transcript.pyannote[3134].speaker |
SPEAKER_16 |
transcript.pyannote[3134].start |
16545.46221875 |
transcript.pyannote[3134].end |
16547.14971875 |
transcript.pyannote[3135].speaker |
SPEAKER_16 |
transcript.pyannote[3135].start |
16547.25096875 |
transcript.pyannote[3135].end |
16547.31846875 |
transcript.pyannote[3136].speaker |
SPEAKER_16 |
transcript.pyannote[3136].start |
16547.41971875 |
transcript.pyannote[3136].end |
16548.02721875 |
transcript.pyannote[3137].speaker |
SPEAKER_16 |
transcript.pyannote[3137].start |
16548.31409375 |
transcript.pyannote[3137].end |
16550.81159375 |
transcript.pyannote[3138].speaker |
SPEAKER_18 |
transcript.pyannote[3138].start |
16550.76096875 |
transcript.pyannote[3138].end |
16559.13096875 |
transcript.pyannote[3139].speaker |
SPEAKER_16 |
transcript.pyannote[3139].start |
16551.68909375 |
transcript.pyannote[3139].end |
16552.83659375 |
transcript.pyannote[3140].speaker |
SPEAKER_18 |
transcript.pyannote[3140].start |
16559.46846875 |
transcript.pyannote[3140].end |
16561.54409375 |
transcript.pyannote[3141].speaker |
SPEAKER_16 |
transcript.pyannote[3141].start |
16560.61596875 |
transcript.pyannote[3141].end |
16560.63284375 |
transcript.pyannote[3142].speaker |
SPEAKER_22 |
transcript.pyannote[3142].start |
16560.63284375 |
transcript.pyannote[3142].end |
16561.03784375 |
transcript.pyannote[3143].speaker |
SPEAKER_16 |
transcript.pyannote[3143].start |
16561.03784375 |
transcript.pyannote[3143].end |
16561.47659375 |
transcript.pyannote[3144].speaker |
SPEAKER_22 |
transcript.pyannote[3144].start |
16561.54409375 |
transcript.pyannote[3144].end |
16561.69596875 |
transcript.pyannote[3145].speaker |
SPEAKER_18 |
transcript.pyannote[3145].start |
16562.59034375 |
transcript.pyannote[3145].end |
16563.82221875 |
transcript.pyannote[3146].speaker |
SPEAKER_18 |
transcript.pyannote[3146].start |
16564.58159375 |
transcript.pyannote[3146].end |
16566.21846875 |
transcript.pyannote[3147].speaker |
SPEAKER_18 |
transcript.pyannote[3147].start |
16567.41659375 |
transcript.pyannote[3147].end |
16572.07409375 |
transcript.pyannote[3148].speaker |
SPEAKER_18 |
transcript.pyannote[3148].start |
16572.91784375 |
transcript.pyannote[3148].end |
16575.28034375 |
transcript.pyannote[3149].speaker |
SPEAKER_18 |
transcript.pyannote[3149].start |
16575.76971875 |
transcript.pyannote[3149].end |
16584.25784375 |
transcript.pyannote[3150].speaker |
SPEAKER_18 |
transcript.pyannote[3150].start |
16584.74721875 |
transcript.pyannote[3150].end |
16590.58596875 |
transcript.pyannote[3151].speaker |
SPEAKER_18 |
transcript.pyannote[3151].start |
16590.88971875 |
transcript.pyannote[3151].end |
16597.11659375 |
transcript.pyannote[3152].speaker |
SPEAKER_18 |
transcript.pyannote[3152].start |
16598.33159375 |
transcript.pyannote[3152].end |
16599.02346875 |
transcript.pyannote[3153].speaker |
SPEAKER_18 |
transcript.pyannote[3153].start |
16599.32721875 |
transcript.pyannote[3153].end |
16601.18346875 |
transcript.pyannote[3154].speaker |
SPEAKER_18 |
transcript.pyannote[3154].start |
16601.25096875 |
transcript.pyannote[3154].end |
16610.76846875 |
transcript.pyannote[3155].speaker |
SPEAKER_18 |
transcript.pyannote[3155].start |
16611.74721875 |
transcript.pyannote[3155].end |
16617.11346875 |
transcript.pyannote[3156].speaker |
SPEAKER_18 |
transcript.pyannote[3156].start |
16617.40034375 |
transcript.pyannote[3156].end |
16618.69971875 |
transcript.pyannote[3157].speaker |
SPEAKER_18 |
transcript.pyannote[3157].start |
16619.42534375 |
transcript.pyannote[3157].end |
16628.13284375 |
transcript.pyannote[3158].speaker |
SPEAKER_18 |
transcript.pyannote[3158].start |
16628.57159375 |
transcript.pyannote[3158].end |
16631.03534375 |
transcript.pyannote[3159].speaker |
SPEAKER_18 |
transcript.pyannote[3159].start |
16631.32221875 |
transcript.pyannote[3159].end |
16631.84534375 |
transcript.pyannote[3160].speaker |
SPEAKER_18 |
transcript.pyannote[3160].start |
16632.36846875 |
transcript.pyannote[3160].end |
16633.11096875 |
transcript.pyannote[3161].speaker |
SPEAKER_18 |
transcript.pyannote[3161].start |
16633.73534375 |
transcript.pyannote[3161].end |
16635.74346875 |
transcript.pyannote[3162].speaker |
SPEAKER_18 |
transcript.pyannote[3162].start |
16636.53659375 |
transcript.pyannote[3162].end |
16637.61659375 |
transcript.pyannote[3163].speaker |
SPEAKER_18 |
transcript.pyannote[3163].start |
16638.29159375 |
transcript.pyannote[3163].end |
16638.79784375 |
transcript.pyannote[3164].speaker |
SPEAKER_18 |
transcript.pyannote[3164].start |
16639.38846875 |
transcript.pyannote[3164].end |
16645.05846875 |
transcript.pyannote[3165].speaker |
SPEAKER_18 |
transcript.pyannote[3165].start |
16645.64909375 |
transcript.pyannote[3165].end |
16646.61096875 |
transcript.pyannote[3166].speaker |
SPEAKER_18 |
transcript.pyannote[3166].start |
16647.62346875 |
transcript.pyannote[3166].end |
16648.11284375 |
transcript.pyannote[3167].speaker |
SPEAKER_18 |
transcript.pyannote[3167].start |
16648.39971875 |
transcript.pyannote[3167].end |
16650.44159375 |
transcript.pyannote[3168].speaker |
SPEAKER_18 |
transcript.pyannote[3168].start |
16650.71159375 |
transcript.pyannote[3168].end |
16655.33534375 |
transcript.pyannote[3169].speaker |
SPEAKER_18 |
transcript.pyannote[3169].start |
16655.74034375 |
transcript.pyannote[3169].end |
16657.84971875 |
transcript.pyannote[3170].speaker |
SPEAKER_18 |
transcript.pyannote[3170].start |
16658.35596875 |
transcript.pyannote[3170].end |
16659.30096875 |
transcript.pyannote[3171].speaker |
SPEAKER_18 |
transcript.pyannote[3171].start |
16660.27971875 |
transcript.pyannote[3171].end |
16661.22471875 |
transcript.pyannote[3172].speaker |
SPEAKER_18 |
transcript.pyannote[3172].start |
16661.89971875 |
transcript.pyannote[3172].end |
16662.87846875 |
transcript.pyannote[3173].speaker |
SPEAKER_18 |
transcript.pyannote[3173].start |
16663.35096875 |
transcript.pyannote[3173].end |
16666.30409375 |
transcript.pyannote[3174].speaker |
SPEAKER_18 |
transcript.pyannote[3174].start |
16667.09721875 |
transcript.pyannote[3174].end |
16668.36284375 |
transcript.pyannote[3175].speaker |
SPEAKER_18 |
transcript.pyannote[3175].start |
16669.05471875 |
transcript.pyannote[3175].end |
16675.63596875 |
transcript.pyannote[3176].speaker |
SPEAKER_18 |
transcript.pyannote[3176].start |
16676.05784375 |
transcript.pyannote[3176].end |
16679.19659375 |
transcript.pyannote[3177].speaker |
SPEAKER_18 |
transcript.pyannote[3177].start |
16679.88846875 |
transcript.pyannote[3177].end |
16681.52534375 |
transcript.pyannote[3178].speaker |
SPEAKER_18 |
transcript.pyannote[3178].start |
16682.79096875 |
transcript.pyannote[3178].end |
16684.09034375 |
transcript.pyannote[3179].speaker |
SPEAKER_18 |
transcript.pyannote[3179].start |
16684.64721875 |
transcript.pyannote[3179].end |
16686.03096875 |
transcript.pyannote[3180].speaker |
SPEAKER_18 |
transcript.pyannote[3180].start |
16686.99284375 |
transcript.pyannote[3180].end |
16691.71784375 |
transcript.pyannote[3181].speaker |
SPEAKER_18 |
transcript.pyannote[3181].start |
16692.54471875 |
transcript.pyannote[3181].end |
16695.46409375 |
transcript.pyannote[3182].speaker |
SPEAKER_18 |
transcript.pyannote[3182].start |
16695.98721875 |
transcript.pyannote[3182].end |
16696.86471875 |
transcript.pyannote[3183].speaker |
SPEAKER_18 |
transcript.pyannote[3183].start |
16697.70846875 |
transcript.pyannote[3183].end |
16700.35784375 |
transcript.pyannote[3184].speaker |
SPEAKER_18 |
transcript.pyannote[3184].start |
16700.93159375 |
transcript.pyannote[3184].end |
16701.96096875 |
transcript.pyannote[3185].speaker |
SPEAKER_18 |
transcript.pyannote[3185].start |
16702.82159375 |
transcript.pyannote[3185].end |
16703.93534375 |
transcript.pyannote[3186].speaker |
SPEAKER_18 |
transcript.pyannote[3186].start |
16704.54284375 |
transcript.pyannote[3186].end |
16707.12471875 |
transcript.pyannote[3187].speaker |
SPEAKER_18 |
transcript.pyannote[3187].start |
16707.81659375 |
transcript.pyannote[3187].end |
16710.17909375 |
transcript.pyannote[3188].speaker |
SPEAKER_18 |
transcript.pyannote[3188].start |
16710.93846875 |
transcript.pyannote[3188].end |
16712.03534375 |
transcript.pyannote[3189].speaker |
SPEAKER_07 |
transcript.pyannote[3189].start |
16712.03534375 |
transcript.pyannote[3189].end |
16712.28846875 |
transcript.pyannote[3190].speaker |
SPEAKER_18 |
transcript.pyannote[3190].start |
16712.28846875 |
transcript.pyannote[3190].end |
16712.30534375 |
transcript.pyannote[3191].speaker |
SPEAKER_18 |
transcript.pyannote[3191].start |
16712.65971875 |
transcript.pyannote[3191].end |
16712.71034375 |
transcript.pyannote[3192].speaker |
SPEAKER_07 |
transcript.pyannote[3192].start |
16712.71034375 |
transcript.pyannote[3192].end |
16713.25034375 |
transcript.pyannote[3193].speaker |
SPEAKER_18 |
transcript.pyannote[3193].start |
16713.25034375 |
transcript.pyannote[3193].end |
16713.26721875 |
transcript.pyannote[3194].speaker |
SPEAKER_18 |
transcript.pyannote[3194].start |
16713.67221875 |
transcript.pyannote[3194].end |
16713.68909375 |
transcript.pyannote[3195].speaker |
SPEAKER_07 |
transcript.pyannote[3195].start |
16713.68909375 |
transcript.pyannote[3195].end |
16722.29534375 |
transcript.pyannote[3196].speaker |
SPEAKER_07 |
transcript.pyannote[3196].start |
16722.68346875 |
transcript.pyannote[3196].end |
16732.18409375 |
transcript.pyannote[3197].speaker |
SPEAKER_30 |
transcript.pyannote[3197].start |
16722.70034375 |
transcript.pyannote[3197].end |
16724.45534375 |
transcript.pyannote[3198].speaker |
SPEAKER_30 |
transcript.pyannote[3198].start |
16724.99534375 |
transcript.pyannote[3198].end |
16725.26534375 |
transcript.pyannote[3199].speaker |
SPEAKER_18 |
transcript.pyannote[3199].start |
16725.26534375 |
transcript.pyannote[3199].end |
16725.65346875 |
transcript.pyannote[3200].speaker |
SPEAKER_18 |
transcript.pyannote[3200].start |
16726.36221875 |
transcript.pyannote[3200].end |
16726.80096875 |
transcript.pyannote[3201].speaker |
SPEAKER_18 |
transcript.pyannote[3201].start |
16728.42096875 |
transcript.pyannote[3201].end |
16729.11284375 |
transcript.pyannote[3202].speaker |
SPEAKER_18 |
transcript.pyannote[3202].start |
16732.23471875 |
transcript.pyannote[3202].end |
16737.48284375 |
transcript.pyannote[3203].speaker |
SPEAKER_18 |
transcript.pyannote[3203].start |
16737.83721875 |
transcript.pyannote[3203].end |
16741.93784375 |
transcript.pyannote[3204].speaker |
SPEAKER_07 |
transcript.pyannote[3204].start |
16740.67221875 |
transcript.pyannote[3204].end |
16742.86596875 |
transcript.pyannote[3205].speaker |
SPEAKER_18 |
transcript.pyannote[3205].start |
16742.86596875 |
transcript.pyannote[3205].end |
16744.33409375 |
transcript.pyannote[3206].speaker |
SPEAKER_18 |
transcript.pyannote[3206].start |
16745.38034375 |
transcript.pyannote[3206].end |
16749.70034375 |
transcript.pyannote[3207].speaker |
SPEAKER_18 |
transcript.pyannote[3207].start |
16750.32471875 |
transcript.pyannote[3207].end |
16751.06721875 |
transcript.pyannote[3208].speaker |
SPEAKER_18 |
transcript.pyannote[3208].start |
16751.99534375 |
transcript.pyannote[3208].end |
16761.85034375 |
transcript.pyannote[3209].speaker |
SPEAKER_18 |
transcript.pyannote[3209].start |
16761.96846875 |
transcript.pyannote[3209].end |
16774.69221875 |
transcript.pyannote[3210].speaker |
SPEAKER_07 |
transcript.pyannote[3210].start |
16762.98096875 |
transcript.pyannote[3210].end |
16763.99346875 |
transcript.pyannote[3211].speaker |
SPEAKER_07 |
transcript.pyannote[3211].start |
16764.98909375 |
transcript.pyannote[3211].end |
16767.79034375 |
transcript.pyannote[3212].speaker |
SPEAKER_00 |
transcript.pyannote[3212].start |
16770.91221875 |
transcript.pyannote[3212].end |
16771.13159375 |
transcript.pyannote[3213].speaker |
SPEAKER_05 |
transcript.pyannote[3213].start |
16775.26596875 |
transcript.pyannote[3213].end |
16781.02034375 |
transcript.pyannote[3214].speaker |
SPEAKER_12 |
transcript.pyannote[3214].start |
16790.21721875 |
transcript.pyannote[3214].end |
16792.74846875 |
transcript.pyannote[3215].speaker |
SPEAKER_12 |
transcript.pyannote[3215].start |
16793.05221875 |
transcript.pyannote[3215].end |
16795.70159375 |
transcript.pyannote[3216].speaker |
SPEAKER_22 |
transcript.pyannote[3216].start |
16793.10284375 |
transcript.pyannote[3216].end |
16793.98034375 |
transcript.pyannote[3217].speaker |
SPEAKER_05 |
transcript.pyannote[3217].start |
16793.98034375 |
transcript.pyannote[3217].end |
16794.52034375 |
transcript.pyannote[3218].speaker |
SPEAKER_12 |
transcript.pyannote[3218].start |
16795.92096875 |
transcript.pyannote[3218].end |
16800.40971875 |
transcript.pyannote[3219].speaker |
SPEAKER_05 |
transcript.pyannote[3219].start |
16796.10659375 |
transcript.pyannote[3219].end |
16797.20346875 |
transcript.pyannote[3220].speaker |
SPEAKER_05 |
transcript.pyannote[3220].start |
16799.24534375 |
transcript.pyannote[3220].end |
16801.27034375 |
transcript.pyannote[3221].speaker |
SPEAKER_12 |
transcript.pyannote[3221].start |
16801.27034375 |
transcript.pyannote[3221].end |
16801.48971875 |
transcript.pyannote[3222].speaker |
SPEAKER_05 |
transcript.pyannote[3222].start |
16801.32096875 |
transcript.pyannote[3222].end |
16804.42596875 |
transcript.pyannote[3223].speaker |
SPEAKER_05 |
transcript.pyannote[3223].start |
16806.19784375 |
transcript.pyannote[3223].end |
16806.68721875 |
transcript.pyannote[3224].speaker |
SPEAKER_12 |
transcript.pyannote[3224].start |
16806.80534375 |
transcript.pyannote[3224].end |
16808.62784375 |
transcript.pyannote[3225].speaker |
SPEAKER_12 |
transcript.pyannote[3225].start |
16809.30284375 |
transcript.pyannote[3225].end |
16811.73284375 |
transcript.pyannote[3226].speaker |
SPEAKER_12 |
transcript.pyannote[3226].start |
16811.96909375 |
transcript.pyannote[3226].end |
16817.80784375 |
transcript.pyannote[3227].speaker |
SPEAKER_12 |
transcript.pyannote[3227].start |
16818.16221875 |
transcript.pyannote[3227].end |
16820.20409375 |
transcript.pyannote[3228].speaker |
SPEAKER_12 |
transcript.pyannote[3228].start |
16820.74409375 |
transcript.pyannote[3228].end |
16824.54096875 |
transcript.pyannote[3229].speaker |
SPEAKER_12 |
transcript.pyannote[3229].start |
16824.99659375 |
transcript.pyannote[3229].end |
16827.73034375 |
transcript.pyannote[3230].speaker |
SPEAKER_12 |
transcript.pyannote[3230].start |
16828.16909375 |
transcript.pyannote[3230].end |
16831.62846875 |
transcript.pyannote[3231].speaker |
SPEAKER_12 |
transcript.pyannote[3231].start |
16832.20221875 |
transcript.pyannote[3231].end |
16835.08784375 |
transcript.pyannote[3232].speaker |
SPEAKER_12 |
transcript.pyannote[3232].start |
16835.64471875 |
transcript.pyannote[3232].end |
16836.48846875 |
transcript.pyannote[3233].speaker |
SPEAKER_12 |
transcript.pyannote[3233].start |
16836.94409375 |
transcript.pyannote[3233].end |
16838.49659375 |
transcript.pyannote[3234].speaker |
SPEAKER_12 |
transcript.pyannote[3234].start |
16838.66534375 |
transcript.pyannote[3234].end |
16841.31471875 |
transcript.pyannote[3235].speaker |
SPEAKER_12 |
transcript.pyannote[3235].start |
16841.93909375 |
transcript.pyannote[3235].end |
16844.28471875 |
transcript.pyannote[3236].speaker |
SPEAKER_12 |
transcript.pyannote[3236].start |
16845.46596875 |
transcript.pyannote[3236].end |
16846.09034375 |
transcript.pyannote[3237].speaker |
SPEAKER_12 |
transcript.pyannote[3237].start |
16846.95096875 |
transcript.pyannote[3237].end |
16850.15721875 |
transcript.pyannote[3238].speaker |
SPEAKER_12 |
transcript.pyannote[3238].start |
16850.34284375 |
transcript.pyannote[3238].end |
16852.67159375 |
transcript.pyannote[3239].speaker |
SPEAKER_12 |
transcript.pyannote[3239].start |
16852.72221875 |
transcript.pyannote[3239].end |
16855.11846875 |
transcript.pyannote[3240].speaker |
SPEAKER_12 |
transcript.pyannote[3240].start |
16855.62471875 |
transcript.pyannote[3240].end |
16858.96596875 |
transcript.pyannote[3241].speaker |
SPEAKER_12 |
transcript.pyannote[3241].start |
16859.65784375 |
transcript.pyannote[3241].end |
16861.73346875 |
transcript.pyannote[3242].speaker |
SPEAKER_12 |
transcript.pyannote[3242].start |
16861.83471875 |
transcript.pyannote[3242].end |
16863.15096875 |
transcript.pyannote[3243].speaker |
SPEAKER_12 |
transcript.pyannote[3243].start |
16863.45471875 |
transcript.pyannote[3243].end |
16865.02409375 |
transcript.pyannote[3244].speaker |
SPEAKER_12 |
transcript.pyannote[3244].start |
16866.47534375 |
transcript.pyannote[3244].end |
16870.96409375 |
transcript.pyannote[3245].speaker |
SPEAKER_12 |
transcript.pyannote[3245].start |
16871.74034375 |
transcript.pyannote[3245].end |
16874.59221875 |
transcript.pyannote[3246].speaker |
SPEAKER_12 |
transcript.pyannote[3246].start |
16875.46971875 |
transcript.pyannote[3246].end |
16877.27534375 |
transcript.pyannote[3247].speaker |
SPEAKER_12 |
transcript.pyannote[3247].start |
16877.96721875 |
transcript.pyannote[3247].end |
16880.56596875 |
transcript.pyannote[3248].speaker |
SPEAKER_12 |
transcript.pyannote[3248].start |
16881.49409375 |
transcript.pyannote[3248].end |
16885.10534375 |
transcript.pyannote[3249].speaker |
SPEAKER_12 |
transcript.pyannote[3249].start |
16885.54409375 |
transcript.pyannote[3249].end |
16887.95721875 |
transcript.pyannote[3250].speaker |
SPEAKER_12 |
transcript.pyannote[3250].start |
16888.22721875 |
transcript.pyannote[3250].end |
16890.26909375 |
transcript.pyannote[3251].speaker |
SPEAKER_12 |
transcript.pyannote[3251].start |
16892.27721875 |
transcript.pyannote[3251].end |
16893.47534375 |
transcript.pyannote[3252].speaker |
SPEAKER_12 |
transcript.pyannote[3252].start |
16893.69471875 |
transcript.pyannote[3252].end |
16895.43284375 |
transcript.pyannote[3253].speaker |
SPEAKER_12 |
transcript.pyannote[3253].start |
16896.22596875 |
transcript.pyannote[3253].end |
16897.50846875 |
transcript.pyannote[3254].speaker |
SPEAKER_12 |
transcript.pyannote[3254].start |
16897.91346875 |
transcript.pyannote[3254].end |
16900.12409375 |
transcript.pyannote[3255].speaker |
SPEAKER_12 |
transcript.pyannote[3255].start |
16901.71034375 |
transcript.pyannote[3255].end |
16903.26284375 |
transcript.pyannote[3256].speaker |
SPEAKER_12 |
transcript.pyannote[3256].start |
16904.24159375 |
transcript.pyannote[3256].end |
16904.76471875 |
transcript.pyannote[3257].speaker |
SPEAKER_12 |
transcript.pyannote[3257].start |
16907.43096875 |
transcript.pyannote[3257].end |
16908.20721875 |
transcript.pyannote[3258].speaker |
SPEAKER_22 |
transcript.pyannote[3258].start |
16909.37159375 |
transcript.pyannote[3258].end |
16909.97909375 |
transcript.pyannote[3259].speaker |
SPEAKER_12 |
transcript.pyannote[3259].start |
16909.79346875 |
transcript.pyannote[3259].end |
16911.26159375 |
transcript.pyannote[3260].speaker |
SPEAKER_12 |
transcript.pyannote[3260].start |
16911.95346875 |
transcript.pyannote[3260].end |
16913.77596875 |
transcript.pyannote[3261].speaker |
SPEAKER_12 |
transcript.pyannote[3261].start |
16915.90221875 |
transcript.pyannote[3261].end |
16920.30659375 |
transcript.pyannote[3262].speaker |
SPEAKER_12 |
transcript.pyannote[3262].start |
16922.02784375 |
transcript.pyannote[3262].end |
16923.17534375 |
transcript.pyannote[3263].speaker |
SPEAKER_12 |
transcript.pyannote[3263].start |
16923.64784375 |
transcript.pyannote[3263].end |
16925.53784375 |
transcript.pyannote[3264].speaker |
SPEAKER_12 |
transcript.pyannote[3264].start |
16927.12409375 |
transcript.pyannote[3264].end |
16928.18721875 |
transcript.pyannote[3265].speaker |
SPEAKER_12 |
transcript.pyannote[3265].start |
16929.95909375 |
transcript.pyannote[3265].end |
16930.73534375 |
transcript.pyannote[3266].speaker |
SPEAKER_19 |
transcript.pyannote[3266].start |
16932.92909375 |
transcript.pyannote[3266].end |
16933.92471875 |
transcript.pyannote[3267].speaker |
SPEAKER_12 |
transcript.pyannote[3267].start |
16933.92471875 |
transcript.pyannote[3267].end |
16935.17346875 |
transcript.pyannote[3268].speaker |
SPEAKER_19 |
transcript.pyannote[3268].start |
16933.97534375 |
transcript.pyannote[3268].end |
16935.10596875 |
transcript.pyannote[3269].speaker |
SPEAKER_19 |
transcript.pyannote[3269].start |
16935.17346875 |
transcript.pyannote[3269].end |
16940.40471875 |
transcript.pyannote[3270].speaker |
SPEAKER_12 |
transcript.pyannote[3270].start |
16940.25284375 |
transcript.pyannote[3270].end |
16942.83471875 |
transcript.pyannote[3271].speaker |
SPEAKER_12 |
transcript.pyannote[3271].start |
16943.39159375 |
transcript.pyannote[3271].end |
16947.15471875 |
transcript.pyannote[3272].speaker |
SPEAKER_16 |
transcript.pyannote[3272].start |
16949.38221875 |
transcript.pyannote[3272].end |
16953.85409375 |
transcript.pyannote[3273].speaker |
SPEAKER_12 |
transcript.pyannote[3273].start |
16952.33534375 |
transcript.pyannote[3273].end |
16955.42346875 |
transcript.pyannote[3274].speaker |
SPEAKER_16 |
transcript.pyannote[3274].start |
16954.19159375 |
transcript.pyannote[3274].end |
16955.22096875 |
transcript.pyannote[3275].speaker |
SPEAKER_12 |
transcript.pyannote[3275].start |
16955.96346875 |
transcript.pyannote[3275].end |
16957.09409375 |
transcript.pyannote[3276].speaker |
SPEAKER_12 |
transcript.pyannote[3276].start |
16957.33034375 |
transcript.pyannote[3276].end |
16959.11909375 |
transcript.pyannote[3277].speaker |
SPEAKER_12 |
transcript.pyannote[3277].start |
16959.64221875 |
transcript.pyannote[3277].end |
16961.02596875 |
transcript.pyannote[3278].speaker |
SPEAKER_12 |
transcript.pyannote[3278].start |
16961.71784375 |
transcript.pyannote[3278].end |
16962.94971875 |
transcript.pyannote[3279].speaker |
SPEAKER_12 |
transcript.pyannote[3279].start |
16963.59096875 |
transcript.pyannote[3279].end |
16964.56971875 |
transcript.pyannote[3280].speaker |
SPEAKER_12 |
transcript.pyannote[3280].start |
16965.61596875 |
transcript.pyannote[3280].end |
16966.37534375 |
transcript.pyannote[3281].speaker |
SPEAKER_12 |
transcript.pyannote[3281].start |
16966.84784375 |
transcript.pyannote[3281].end |
16968.78846875 |
transcript.pyannote[3282].speaker |
SPEAKER_12 |
transcript.pyannote[3282].start |
16969.29471875 |
transcript.pyannote[3282].end |
16970.35784375 |
transcript.pyannote[3283].speaker |
SPEAKER_22 |
transcript.pyannote[3283].start |
16971.45471875 |
transcript.pyannote[3283].end |
16971.50534375 |
transcript.pyannote[3284].speaker |
SPEAKER_12 |
transcript.pyannote[3284].start |
16971.50534375 |
transcript.pyannote[3284].end |
16972.65284375 |
transcript.pyannote[3285].speaker |
SPEAKER_22 |
transcript.pyannote[3285].start |
16971.60659375 |
transcript.pyannote[3285].end |
16971.64034375 |
transcript.pyannote[3286].speaker |
SPEAKER_16 |
transcript.pyannote[3286].start |
16971.64034375 |
transcript.pyannote[3286].end |
16971.91034375 |
transcript.pyannote[3287].speaker |
SPEAKER_12 |
transcript.pyannote[3287].start |
16972.85534375 |
transcript.pyannote[3287].end |
16974.34034375 |
transcript.pyannote[3288].speaker |
SPEAKER_12 |
transcript.pyannote[3288].start |
16974.81284375 |
transcript.pyannote[3288].end |
16976.56784375 |
transcript.pyannote[3289].speaker |
SPEAKER_12 |
transcript.pyannote[3289].start |
16977.22596875 |
transcript.pyannote[3289].end |
16978.99784375 |
transcript.pyannote[3290].speaker |
SPEAKER_12 |
transcript.pyannote[3290].start |
16979.35221875 |
transcript.pyannote[3290].end |
16979.36909375 |
transcript.pyannote[3291].speaker |
SPEAKER_16 |
transcript.pyannote[3291].start |
16979.36909375 |
transcript.pyannote[3291].end |
16980.14534375 |
transcript.pyannote[3292].speaker |
SPEAKER_12 |
transcript.pyannote[3292].start |
16979.41971875 |
transcript.pyannote[3292].end |
16981.44471875 |
transcript.pyannote[3293].speaker |
SPEAKER_16 |
transcript.pyannote[3293].start |
16981.49534375 |
transcript.pyannote[3293].end |
16985.73096875 |
transcript.pyannote[3294].speaker |
SPEAKER_12 |
transcript.pyannote[3294].start |
16986.99659375 |
transcript.pyannote[3294].end |
16987.72221875 |
transcript.pyannote[3295].speaker |
SPEAKER_12 |
transcript.pyannote[3295].start |
16988.26221875 |
transcript.pyannote[3295].end |
16989.81471875 |
transcript.pyannote[3296].speaker |
SPEAKER_12 |
transcript.pyannote[3296].start |
16989.91596875 |
transcript.pyannote[3296].end |
16991.23221875 |
transcript.pyannote[3297].speaker |
SPEAKER_12 |
transcript.pyannote[3297].start |
16991.68784375 |
transcript.pyannote[3297].end |
16992.51471875 |
transcript.pyannote[3298].speaker |
SPEAKER_12 |
transcript.pyannote[3298].start |
16993.05471875 |
transcript.pyannote[3298].end |
16994.48909375 |
transcript.pyannote[3299].speaker |
SPEAKER_12 |
transcript.pyannote[3299].start |
16995.01221875 |
transcript.pyannote[3299].end |
16997.30721875 |
transcript.pyannote[3300].speaker |
SPEAKER_12 |
transcript.pyannote[3300].start |
16997.77971875 |
transcript.pyannote[3300].end |
16999.19721875 |
transcript.pyannote[3301].speaker |
SPEAKER_12 |
transcript.pyannote[3301].start |
16999.73721875 |
transcript.pyannote[3301].end |
17001.89721875 |
transcript.pyannote[3302].speaker |
SPEAKER_12 |
transcript.pyannote[3302].start |
17002.36971875 |
transcript.pyannote[3302].end |
17004.66471875 |
transcript.pyannote[3303].speaker |
SPEAKER_12 |
transcript.pyannote[3303].start |
17005.20471875 |
transcript.pyannote[3303].end |
17008.02284375 |
transcript.pyannote[3304].speaker |
SPEAKER_12 |
transcript.pyannote[3304].start |
17008.83284375 |
transcript.pyannote[3304].end |
17010.52034375 |
transcript.pyannote[3305].speaker |
SPEAKER_12 |
transcript.pyannote[3305].start |
17010.63846875 |
transcript.pyannote[3305].end |
17011.90409375 |
transcript.pyannote[3306].speaker |
SPEAKER_12 |
transcript.pyannote[3306].start |
17012.86596875 |
transcript.pyannote[3306].end |
17013.69284375 |
transcript.pyannote[3307].speaker |
SPEAKER_12 |
transcript.pyannote[3307].start |
17013.92909375 |
transcript.pyannote[3307].end |
17014.72221875 |
transcript.pyannote[3308].speaker |
SPEAKER_12 |
transcript.pyannote[3308].start |
17015.22846875 |
transcript.pyannote[3308].end |
17015.78534375 |
transcript.pyannote[3309].speaker |
SPEAKER_12 |
transcript.pyannote[3309].start |
17016.42659375 |
transcript.pyannote[3309].end |
17017.57409375 |
transcript.pyannote[3310].speaker |
SPEAKER_12 |
transcript.pyannote[3310].start |
17017.96221875 |
transcript.pyannote[3310].end |
17018.82284375 |
transcript.pyannote[3311].speaker |
SPEAKER_12 |
transcript.pyannote[3311].start |
17019.10971875 |
transcript.pyannote[3311].end |
17020.12221875 |
transcript.pyannote[3312].speaker |
SPEAKER_12 |
transcript.pyannote[3312].start |
17020.45971875 |
transcript.pyannote[3312].end |
17022.46784375 |
transcript.pyannote[3313].speaker |
SPEAKER_12 |
transcript.pyannote[3313].start |
17023.14284375 |
transcript.pyannote[3313].end |
17023.58159375 |
transcript.pyannote[3314].speaker |
SPEAKER_12 |
transcript.pyannote[3314].start |
17023.86846875 |
transcript.pyannote[3314].end |
17027.85096875 |
transcript.pyannote[3315].speaker |
SPEAKER_12 |
transcript.pyannote[3315].start |
17028.23909375 |
transcript.pyannote[3315].end |
17030.11221875 |
transcript.pyannote[3316].speaker |
SPEAKER_12 |
transcript.pyannote[3316].start |
17030.90534375 |
transcript.pyannote[3316].end |
17031.64784375 |
transcript.pyannote[3317].speaker |
SPEAKER_12 |
transcript.pyannote[3317].start |
17032.27221875 |
transcript.pyannote[3317].end |
17032.67721875 |
transcript.pyannote[3318].speaker |
SPEAKER_12 |
transcript.pyannote[3318].start |
17032.99784375 |
transcript.pyannote[3318].end |
17034.33096875 |
transcript.pyannote[3319].speaker |
SPEAKER_12 |
transcript.pyannote[3319].start |
17034.92159375 |
transcript.pyannote[3319].end |
17036.11971875 |
transcript.pyannote[3320].speaker |
SPEAKER_12 |
transcript.pyannote[3320].start |
17036.74409375 |
transcript.pyannote[3320].end |
17038.26284375 |
transcript.pyannote[3321].speaker |
SPEAKER_12 |
transcript.pyannote[3321].start |
17039.03909375 |
transcript.pyannote[3321].end |
17039.37659375 |
transcript.pyannote[3322].speaker |
SPEAKER_12 |
transcript.pyannote[3322].start |
17039.81534375 |
transcript.pyannote[3322].end |
17042.29596875 |
transcript.pyannote[3323].speaker |
SPEAKER_12 |
transcript.pyannote[3323].start |
17042.59971875 |
transcript.pyannote[3323].end |
17044.11846875 |
transcript.pyannote[3324].speaker |
SPEAKER_12 |
transcript.pyannote[3324].start |
17044.60784375 |
transcript.pyannote[3324].end |
17046.22784375 |
transcript.pyannote[3325].speaker |
SPEAKER_12 |
transcript.pyannote[3325].start |
17047.02096875 |
transcript.pyannote[3325].end |
17047.91534375 |
transcript.pyannote[3326].speaker |
SPEAKER_12 |
transcript.pyannote[3326].start |
17048.62409375 |
transcript.pyannote[3326].end |
17050.58159375 |
transcript.pyannote[3327].speaker |
SPEAKER_12 |
transcript.pyannote[3327].start |
17050.96971875 |
transcript.pyannote[3327].end |
17052.40409375 |
transcript.pyannote[3328].speaker |
SPEAKER_12 |
transcript.pyannote[3328].start |
17053.21409375 |
transcript.pyannote[3328].end |
17054.27721875 |
transcript.pyannote[3329].speaker |
SPEAKER_12 |
transcript.pyannote[3329].start |
17054.41221875 |
transcript.pyannote[3329].end |
17056.87596875 |
transcript.pyannote[3330].speaker |
SPEAKER_12 |
transcript.pyannote[3330].start |
17057.71971875 |
transcript.pyannote[3330].end |
17058.34409375 |
transcript.pyannote[3331].speaker |
SPEAKER_12 |
transcript.pyannote[3331].start |
17058.73221875 |
transcript.pyannote[3331].end |
17063.77784375 |
transcript.pyannote[3332].speaker |
SPEAKER_12 |
transcript.pyannote[3332].start |
17063.96346875 |
transcript.pyannote[3332].end |
17065.00971875 |
transcript.pyannote[3333].speaker |
SPEAKER_12 |
transcript.pyannote[3333].start |
17065.87034375 |
transcript.pyannote[3333].end |
17067.40596875 |
transcript.pyannote[3334].speaker |
SPEAKER_12 |
transcript.pyannote[3334].start |
17067.99659375 |
transcript.pyannote[3334].end |
17069.21159375 |
transcript.pyannote[3335].speaker |
SPEAKER_12 |
transcript.pyannote[3335].start |
17070.89909375 |
transcript.pyannote[3335].end |
17073.14346875 |
transcript.pyannote[3336].speaker |
SPEAKER_12 |
transcript.pyannote[3336].start |
17073.78471875 |
transcript.pyannote[3336].end |
17078.18909375 |
transcript.pyannote[3337].speaker |
SPEAKER_12 |
transcript.pyannote[3337].start |
17078.74596875 |
transcript.pyannote[3337].end |
17082.34034375 |
transcript.pyannote[3338].speaker |
SPEAKER_12 |
transcript.pyannote[3338].start |
17083.01534375 |
transcript.pyannote[3338].end |
17084.92221875 |
transcript.pyannote[3339].speaker |
SPEAKER_12 |
transcript.pyannote[3339].start |
17085.41159375 |
transcript.pyannote[3339].end |
17087.45346875 |
transcript.pyannote[3340].speaker |
SPEAKER_12 |
transcript.pyannote[3340].start |
17088.07784375 |
transcript.pyannote[3340].end |
17089.88346875 |
transcript.pyannote[3341].speaker |
SPEAKER_12 |
transcript.pyannote[3341].start |
17090.37284375 |
transcript.pyannote[3341].end |
17091.25034375 |
transcript.pyannote[3342].speaker |
SPEAKER_12 |
transcript.pyannote[3342].start |
17091.80721875 |
transcript.pyannote[3342].end |
17092.58346875 |
transcript.pyannote[3343].speaker |
SPEAKER_12 |
transcript.pyannote[3343].start |
17093.49471875 |
transcript.pyannote[3343].end |
17095.28346875 |
transcript.pyannote[3344].speaker |
SPEAKER_12 |
transcript.pyannote[3344].start |
17095.97534375 |
transcript.pyannote[3344].end |
17097.84846875 |
transcript.pyannote[3345].speaker |
SPEAKER_12 |
transcript.pyannote[3345].start |
17098.40534375 |
transcript.pyannote[3345].end |
17100.71721875 |
transcript.pyannote[3346].speaker |
SPEAKER_12 |
transcript.pyannote[3346].start |
17101.24034375 |
transcript.pyannote[3346].end |
17102.47221875 |
transcript.pyannote[3347].speaker |
SPEAKER_12 |
transcript.pyannote[3347].start |
17102.80971875 |
transcript.pyannote[3347].end |
17104.49721875 |
transcript.pyannote[3348].speaker |
SPEAKER_12 |
transcript.pyannote[3348].start |
17105.08784375 |
transcript.pyannote[3348].end |
17107.26471875 |
transcript.pyannote[3349].speaker |
SPEAKER_12 |
transcript.pyannote[3349].start |
17107.73721875 |
transcript.pyannote[3349].end |
17109.25596875 |
transcript.pyannote[3350].speaker |
SPEAKER_12 |
transcript.pyannote[3350].start |
17110.08284375 |
transcript.pyannote[3350].end |
17111.65221875 |
transcript.pyannote[3351].speaker |
SPEAKER_12 |
transcript.pyannote[3351].start |
17112.04034375 |
transcript.pyannote[3351].end |
17116.61346875 |
transcript.pyannote[3352].speaker |
SPEAKER_12 |
transcript.pyannote[3352].start |
17117.08596875 |
transcript.pyannote[3352].end |
17121.16971875 |
transcript.pyannote[3353].speaker |
SPEAKER_12 |
transcript.pyannote[3353].start |
17121.79409375 |
transcript.pyannote[3353].end |
17123.90346875 |
transcript.pyannote[3354].speaker |
SPEAKER_12 |
transcript.pyannote[3354].start |
17124.12284375 |
transcript.pyannote[3354].end |
17125.27034375 |
transcript.pyannote[3355].speaker |
SPEAKER_12 |
transcript.pyannote[3355].start |
17125.33784375 |
transcript.pyannote[3355].end |
17126.06346875 |
transcript.pyannote[3356].speaker |
SPEAKER_12 |
transcript.pyannote[3356].start |
17126.99159375 |
transcript.pyannote[3356].end |
17127.86909375 |
transcript.pyannote[3357].speaker |
SPEAKER_12 |
transcript.pyannote[3357].start |
17128.37534375 |
transcript.pyannote[3357].end |
17128.78034375 |
transcript.pyannote[3358].speaker |
SPEAKER_12 |
transcript.pyannote[3358].start |
17129.53971875 |
transcript.pyannote[3358].end |
17132.35784375 |
transcript.pyannote[3359].speaker |
SPEAKER_12 |
transcript.pyannote[3359].start |
17132.89784375 |
transcript.pyannote[3359].end |
17134.61909375 |
transcript.pyannote[3360].speaker |
SPEAKER_12 |
transcript.pyannote[3360].start |
17134.90596875 |
transcript.pyannote[3360].end |
17137.62284375 |
transcript.pyannote[3361].speaker |
SPEAKER_12 |
transcript.pyannote[3361].start |
17138.24721875 |
transcript.pyannote[3361].end |
17140.37346875 |
transcript.pyannote[3362].speaker |
SPEAKER_12 |
transcript.pyannote[3362].start |
17141.08221875 |
transcript.pyannote[3362].end |
17145.21659375 |
transcript.pyannote[3363].speaker |
SPEAKER_12 |
transcript.pyannote[3363].start |
17145.35159375 |
transcript.pyannote[3363].end |
17148.38909375 |
transcript.pyannote[3364].speaker |
SPEAKER_12 |
transcript.pyannote[3364].start |
17148.81096875 |
transcript.pyannote[3364].end |
17151.64596875 |
transcript.pyannote[3365].speaker |
SPEAKER_12 |
transcript.pyannote[3365].start |
17151.73034375 |
transcript.pyannote[3365].end |
17159.52659375 |
transcript.pyannote[3366].speaker |
SPEAKER_12 |
transcript.pyannote[3366].start |
17159.88096875 |
transcript.pyannote[3366].end |
17164.62284375 |
transcript.pyannote[3367].speaker |
SPEAKER_12 |
transcript.pyannote[3367].start |
17164.94346875 |
transcript.pyannote[3367].end |
17168.06534375 |
transcript.pyannote[3368].speaker |
SPEAKER_12 |
transcript.pyannote[3368].start |
17168.53784375 |
transcript.pyannote[3368].end |
17169.88784375 |
transcript.pyannote[3369].speaker |
SPEAKER_12 |
transcript.pyannote[3369].start |
17170.34346875 |
transcript.pyannote[3369].end |
17172.92534375 |
transcript.pyannote[3370].speaker |
SPEAKER_12 |
transcript.pyannote[3370].start |
17173.43159375 |
transcript.pyannote[3370].end |
17173.93784375 |
transcript.pyannote[3371].speaker |
SPEAKER_12 |
transcript.pyannote[3371].start |
17174.56221875 |
transcript.pyannote[3371].end |
17175.50721875 |
transcript.pyannote[3372].speaker |
SPEAKER_12 |
transcript.pyannote[3372].start |
17175.89534375 |
transcript.pyannote[3372].end |
17180.50221875 |
transcript.pyannote[3373].speaker |
SPEAKER_12 |
transcript.pyannote[3373].start |
17180.97471875 |
transcript.pyannote[3373].end |
17188.02846875 |
transcript.pyannote[3374].speaker |
SPEAKER_12 |
transcript.pyannote[3374].start |
17188.75409375 |
transcript.pyannote[3374].end |
17190.18846875 |
transcript.pyannote[3375].speaker |
SPEAKER_12 |
transcript.pyannote[3375].start |
17190.79596875 |
transcript.pyannote[3375].end |
17191.69034375 |
transcript.pyannote[3376].speaker |
SPEAKER_12 |
transcript.pyannote[3376].start |
17191.90971875 |
transcript.pyannote[3376].end |
17193.74909375 |
transcript.pyannote[3377].speaker |
SPEAKER_12 |
transcript.pyannote[3377].start |
17194.27221875 |
transcript.pyannote[3377].end |
17195.35221875 |
transcript.pyannote[3378].speaker |
SPEAKER_12 |
transcript.pyannote[3378].start |
17195.79096875 |
transcript.pyannote[3378].end |
17196.41534375 |
transcript.pyannote[3379].speaker |
SPEAKER_12 |
transcript.pyannote[3379].start |
17196.98909375 |
transcript.pyannote[3379].end |
17198.67659375 |
transcript.pyannote[3380].speaker |
SPEAKER_22 |
transcript.pyannote[3380].start |
17198.82846875 |
transcript.pyannote[3380].end |
17199.13221875 |
transcript.pyannote[3381].speaker |
SPEAKER_12 |
transcript.pyannote[3381].start |
17198.98034375 |
transcript.pyannote[3381].end |
17201.98409375 |
transcript.pyannote[3382].speaker |
SPEAKER_12 |
transcript.pyannote[3382].start |
17202.30471875 |
transcript.pyannote[3382].end |
17207.62034375 |
transcript.pyannote[3383].speaker |
SPEAKER_12 |
transcript.pyannote[3383].start |
17207.77221875 |
transcript.pyannote[3383].end |
17209.05471875 |
transcript.pyannote[3384].speaker |
SPEAKER_12 |
transcript.pyannote[3384].start |
17209.47659375 |
transcript.pyannote[3384].end |
17210.57346875 |
transcript.pyannote[3385].speaker |
SPEAKER_12 |
transcript.pyannote[3385].start |
17210.80971875 |
transcript.pyannote[3385].end |
17212.61534375 |
transcript.pyannote[3386].speaker |
SPEAKER_12 |
transcript.pyannote[3386].start |
17212.93596875 |
transcript.pyannote[3386].end |
17213.76284375 |
transcript.pyannote[3387].speaker |
SPEAKER_12 |
transcript.pyannote[3387].start |
17214.53909375 |
transcript.pyannote[3387].end |
17216.10846875 |
transcript.pyannote[3388].speaker |
SPEAKER_12 |
transcript.pyannote[3388].start |
17216.74971875 |
transcript.pyannote[3388].end |
17221.01909375 |
transcript.pyannote[3389].speaker |
SPEAKER_12 |
transcript.pyannote[3389].start |
17222.03159375 |
transcript.pyannote[3389].end |
17222.85846875 |
transcript.pyannote[3390].speaker |
SPEAKER_12 |
transcript.pyannote[3390].start |
17223.36471875 |
transcript.pyannote[3390].end |
17225.65971875 |
transcript.pyannote[3391].speaker |
SPEAKER_12 |
transcript.pyannote[3391].start |
17225.96346875 |
transcript.pyannote[3391].end |
17228.51159375 |
transcript.pyannote[3392].speaker |
SPEAKER_12 |
transcript.pyannote[3392].start |
17228.71409375 |
transcript.pyannote[3392].end |
17232.46034375 |
transcript.pyannote[3393].speaker |
SPEAKER_12 |
transcript.pyannote[3393].start |
17232.66284375 |
transcript.pyannote[3393].end |
17235.32909375 |
transcript.pyannote[3394].speaker |
SPEAKER_12 |
transcript.pyannote[3394].start |
17236.10534375 |
transcript.pyannote[3394].end |
17236.57784375 |
transcript.pyannote[3395].speaker |
SPEAKER_12 |
transcript.pyannote[3395].start |
17237.13471875 |
transcript.pyannote[3395].end |
17238.29909375 |
transcript.pyannote[3396].speaker |
SPEAKER_12 |
transcript.pyannote[3396].start |
17238.94034375 |
transcript.pyannote[3396].end |
17240.22284375 |
transcript.pyannote[3397].speaker |
SPEAKER_12 |
transcript.pyannote[3397].start |
17240.54346875 |
transcript.pyannote[3397].end |
17242.46721875 |
transcript.pyannote[3398].speaker |
SPEAKER_12 |
transcript.pyannote[3398].start |
17243.12534375 |
transcript.pyannote[3398].end |
17245.36971875 |
transcript.pyannote[3399].speaker |
SPEAKER_12 |
transcript.pyannote[3399].start |
17245.77471875 |
transcript.pyannote[3399].end |
17247.66471875 |
transcript.pyannote[3400].speaker |
SPEAKER_12 |
transcript.pyannote[3400].start |
17248.06971875 |
transcript.pyannote[3400].end |
17250.93846875 |
transcript.pyannote[3401].speaker |
SPEAKER_12 |
transcript.pyannote[3401].start |
17251.07346875 |
transcript.pyannote[3401].end |
17252.92971875 |
transcript.pyannote[3402].speaker |
SPEAKER_12 |
transcript.pyannote[3402].start |
17253.62159375 |
transcript.pyannote[3402].end |
17254.48221875 |
transcript.pyannote[3403].speaker |
SPEAKER_12 |
transcript.pyannote[3403].start |
17254.76909375 |
transcript.pyannote[3403].end |
17256.94596875 |
transcript.pyannote[3404].speaker |
SPEAKER_12 |
transcript.pyannote[3404].start |
17257.09784375 |
transcript.pyannote[3404].end |
17258.80221875 |
transcript.pyannote[3405].speaker |
SPEAKER_12 |
transcript.pyannote[3405].start |
17259.64596875 |
transcript.pyannote[3405].end |
17261.65409375 |
transcript.pyannote[3406].speaker |
SPEAKER_12 |
transcript.pyannote[3406].start |
17262.05909375 |
transcript.pyannote[3406].end |
17264.72534375 |
transcript.pyannote[3407].speaker |
SPEAKER_12 |
transcript.pyannote[3407].start |
17264.97846875 |
transcript.pyannote[3407].end |
17267.64471875 |
transcript.pyannote[3408].speaker |
SPEAKER_12 |
transcript.pyannote[3408].start |
17267.98221875 |
transcript.pyannote[3408].end |
17280.13221875 |
transcript.pyannote[3409].speaker |
SPEAKER_12 |
transcript.pyannote[3409].start |
17280.41909375 |
transcript.pyannote[3409].end |
17281.48221875 |
transcript.pyannote[3410].speaker |
SPEAKER_12 |
transcript.pyannote[3410].start |
17281.97159375 |
transcript.pyannote[3410].end |
17282.68034375 |
transcript.pyannote[3411].speaker |
SPEAKER_12 |
transcript.pyannote[3411].start |
17283.38909375 |
transcript.pyannote[3411].end |
17285.43096875 |
transcript.pyannote[3412].speaker |
SPEAKER_12 |
transcript.pyannote[3412].start |
17285.63346875 |
transcript.pyannote[3412].end |
17304.01034375 |
transcript.pyannote[3413].speaker |
SPEAKER_12 |
transcript.pyannote[3413].start |
17304.16221875 |
transcript.pyannote[3413].end |
17305.63034375 |
transcript.pyannote[3414].speaker |
SPEAKER_12 |
transcript.pyannote[3414].start |
17305.86659375 |
transcript.pyannote[3414].end |
17315.78909375 |
transcript.pyannote[3415].speaker |
SPEAKER_05 |
transcript.pyannote[3415].start |
17317.52721875 |
transcript.pyannote[3415].end |
17328.17534375 |
transcript.pyannote[3416].speaker |
SPEAKER_00 |
transcript.pyannote[3416].start |
17318.23596875 |
transcript.pyannote[3416].end |
17319.01221875 |
transcript.pyannote[3417].speaker |
SPEAKER_05 |
transcript.pyannote[3417].start |
17328.51284375 |
transcript.pyannote[3417].end |
17329.99784375 |
transcript.pyannote[3418].speaker |
SPEAKER_05 |
transcript.pyannote[3418].start |
17330.36909375 |
transcript.pyannote[3418].end |
17342.35034375 |
transcript.pyannote[3419].speaker |
SPEAKER_05 |
transcript.pyannote[3419].start |
17342.41784375 |
transcript.pyannote[3419].end |
17344.17284375 |
transcript.pyannote[3420].speaker |
SPEAKER_05 |
transcript.pyannote[3420].start |
17344.76346875 |
transcript.pyannote[3420].end |
17345.89409375 |
transcript.pyannote[3421].speaker |
SPEAKER_05 |
transcript.pyannote[3421].start |
17346.55221875 |
transcript.pyannote[3421].end |
17354.58471875 |
transcript.pyannote[3422].speaker |
SPEAKER_17 |
transcript.pyannote[3422].start |
17361.19971875 |
transcript.pyannote[3422].end |
17362.87034375 |
transcript.pyannote[3423].speaker |
SPEAKER_05 |
transcript.pyannote[3423].start |
17364.43971875 |
transcript.pyannote[3423].end |
17365.33409375 |
transcript.pyannote[3424].speaker |
SPEAKER_05 |
transcript.pyannote[3424].start |
17365.92471875 |
transcript.pyannote[3424].end |
17366.97096875 |
transcript.pyannote[3425].speaker |
SPEAKER_17 |
transcript.pyannote[3425].start |
17375.23971875 |
transcript.pyannote[3425].end |
17375.83034375 |
transcript.pyannote[3426].speaker |
SPEAKER_17 |
transcript.pyannote[3426].start |
17376.50534375 |
transcript.pyannote[3426].end |
17380.63971875 |
transcript.pyannote[3427].speaker |
SPEAKER_17 |
transcript.pyannote[3427].start |
17385.55034375 |
transcript.pyannote[3427].end |
17388.43596875 |
transcript.pyannote[3428].speaker |
SPEAKER_00 |
transcript.pyannote[3428].start |
17386.20846875 |
transcript.pyannote[3428].end |
17386.39409375 |
transcript.pyannote[3429].speaker |
SPEAKER_17 |
transcript.pyannote[3429].start |
17390.22471875 |
transcript.pyannote[3429].end |
17391.99659375 |
transcript.pyannote[3430].speaker |
SPEAKER_17 |
transcript.pyannote[3430].start |
17393.71784375 |
transcript.pyannote[3430].end |
17394.03846875 |
transcript.pyannote[3431].speaker |
SPEAKER_16 |
transcript.pyannote[3431].start |
17394.03846875 |
transcript.pyannote[3431].end |
17394.05534375 |
transcript.pyannote[3432].speaker |
SPEAKER_17 |
transcript.pyannote[3432].start |
17394.05534375 |
transcript.pyannote[3432].end |
17394.20721875 |
transcript.pyannote[3433].speaker |
SPEAKER_16 |
transcript.pyannote[3433].start |
17395.62471875 |
transcript.pyannote[3433].end |
17407.84221875 |
transcript.pyannote[3434].speaker |
SPEAKER_17 |
transcript.pyannote[3434].start |
17395.72596875 |
transcript.pyannote[3434].end |
17396.35034375 |
transcript.pyannote[3435].speaker |
SPEAKER_17 |
transcript.pyannote[3435].start |
17409.07409375 |
transcript.pyannote[3435].end |
17412.71909375 |
transcript.pyannote[3436].speaker |
SPEAKER_19 |
transcript.pyannote[3436].start |
17413.03971875 |
transcript.pyannote[3436].end |
17414.81159375 |
transcript.pyannote[3437].speaker |
SPEAKER_19 |
transcript.pyannote[3437].start |
17414.96346875 |
transcript.pyannote[3437].end |
17418.06846875 |
transcript.pyannote[3438].speaker |
SPEAKER_17 |
transcript.pyannote[3438].start |
17418.59159375 |
transcript.pyannote[3438].end |
17421.83159375 |
transcript.pyannote[3439].speaker |
SPEAKER_17 |
transcript.pyannote[3439].start |
17422.65846875 |
transcript.pyannote[3439].end |
17424.59909375 |
transcript.pyannote[3440].speaker |
SPEAKER_17 |
transcript.pyannote[3440].start |
17425.34159375 |
transcript.pyannote[3440].end |
17427.24846875 |
transcript.pyannote[3441].speaker |
SPEAKER_16 |
transcript.pyannote[3441].start |
17427.40034375 |
transcript.pyannote[3441].end |
17427.65346875 |
transcript.pyannote[3442].speaker |
SPEAKER_17 |
transcript.pyannote[3442].start |
17428.69971875 |
transcript.pyannote[3442].end |
17429.79659375 |
transcript.pyannote[3443].speaker |
SPEAKER_17 |
transcript.pyannote[3443].start |
17431.41659375 |
transcript.pyannote[3443].end |
17431.90596875 |
transcript.pyannote[3444].speaker |
SPEAKER_17 |
transcript.pyannote[3444].start |
17432.49659375 |
transcript.pyannote[3444].end |
17433.37409375 |
transcript.pyannote[3445].speaker |
SPEAKER_17 |
transcript.pyannote[3445].start |
17434.16721875 |
transcript.pyannote[3445].end |
17435.46659375 |
transcript.pyannote[3446].speaker |
SPEAKER_17 |
transcript.pyannote[3446].start |
17436.14159375 |
transcript.pyannote[3446].end |
17438.01471875 |
transcript.pyannote[3447].speaker |
SPEAKER_17 |
transcript.pyannote[3447].start |
17438.48721875 |
transcript.pyannote[3447].end |
17440.79909375 |
transcript.pyannote[3448].speaker |
SPEAKER_17 |
transcript.pyannote[3448].start |
17441.11971875 |
transcript.pyannote[3448].end |
17441.54159375 |
transcript.pyannote[3449].speaker |
SPEAKER_17 |
transcript.pyannote[3449].start |
17441.74409375 |
transcript.pyannote[3449].end |
17446.50284375 |
transcript.pyannote[3450].speaker |
SPEAKER_17 |
transcript.pyannote[3450].start |
17446.89096875 |
transcript.pyannote[3450].end |
17447.17784375 |
transcript.pyannote[3451].speaker |
SPEAKER_17 |
transcript.pyannote[3451].start |
17448.49409375 |
transcript.pyannote[3451].end |
17448.76409375 |
transcript.pyannote[3452].speaker |
SPEAKER_17 |
transcript.pyannote[3452].start |
17449.27034375 |
transcript.pyannote[3452].end |
17449.89471875 |
transcript.pyannote[3453].speaker |
SPEAKER_17 |
transcript.pyannote[3453].start |
17450.41784375 |
transcript.pyannote[3453].end |
17451.05909375 |
transcript.pyannote[3454].speaker |
SPEAKER_17 |
transcript.pyannote[3454].start |
17451.24471875 |
transcript.pyannote[3454].end |
17453.50596875 |
transcript.pyannote[3455].speaker |
SPEAKER_17 |
transcript.pyannote[3455].start |
17454.43409375 |
transcript.pyannote[3455].end |
17456.89784375 |
transcript.pyannote[3456].speaker |
SPEAKER_17 |
transcript.pyannote[3456].start |
17457.38721875 |
transcript.pyannote[3456].end |
17458.26471875 |
transcript.pyannote[3457].speaker |
SPEAKER_17 |
transcript.pyannote[3457].start |
17458.80471875 |
transcript.pyannote[3457].end |
17460.61034375 |
transcript.pyannote[3458].speaker |
SPEAKER_16 |
transcript.pyannote[3458].start |
17462.61846875 |
transcript.pyannote[3458].end |
17489.51721875 |
transcript.pyannote[3459].speaker |
SPEAKER_17 |
transcript.pyannote[3459].start |
17489.73659375 |
transcript.pyannote[3459].end |
17489.75346875 |
transcript.pyannote[3460].speaker |
SPEAKER_16 |
transcript.pyannote[3460].start |
17489.75346875 |
transcript.pyannote[3460].end |
17490.02346875 |
transcript.pyannote[3461].speaker |
SPEAKER_17 |
transcript.pyannote[3461].start |
17490.02346875 |
transcript.pyannote[3461].end |
17492.04846875 |
transcript.pyannote[3462].speaker |
SPEAKER_17 |
transcript.pyannote[3462].start |
17492.60534375 |
transcript.pyannote[3462].end |
17495.18721875 |
transcript.pyannote[3463].speaker |
SPEAKER_17 |
transcript.pyannote[3463].start |
17495.72721875 |
transcript.pyannote[3463].end |
17498.89971875 |
transcript.pyannote[3464].speaker |
SPEAKER_17 |
transcript.pyannote[3464].start |
17499.42284375 |
transcript.pyannote[3464].end |
17506.40909375 |
transcript.pyannote[3465].speaker |
SPEAKER_17 |
transcript.pyannote[3465].start |
17506.78034375 |
transcript.pyannote[3465].end |
17510.18909375 |
transcript.pyannote[3466].speaker |
SPEAKER_17 |
transcript.pyannote[3466].start |
17510.77971875 |
transcript.pyannote[3466].end |
17546.01471875 |
transcript.pyannote[3467].speaker |
SPEAKER_17 |
transcript.pyannote[3467].start |
17546.45346875 |
transcript.pyannote[3467].end |
17547.90471875 |
transcript.pyannote[3468].speaker |
SPEAKER_17 |
transcript.pyannote[3468].start |
17547.97221875 |
transcript.pyannote[3468].end |
17548.02284375 |
transcript.pyannote[3469].speaker |
SPEAKER_17 |
transcript.pyannote[3469].start |
17548.03971875 |
transcript.pyannote[3469].end |
17549.59221875 |
transcript.pyannote[3470].speaker |
SPEAKER_16 |
transcript.pyannote[3470].start |
17549.76096875 |
transcript.pyannote[3470].end |
17553.03471875 |
transcript.pyannote[3471].speaker |
SPEAKER_17 |
transcript.pyannote[3471].start |
17553.03471875 |
transcript.pyannote[3471].end |
17553.65909375 |
transcript.pyannote[3472].speaker |
SPEAKER_16 |
transcript.pyannote[3472].start |
17554.63784375 |
transcript.pyannote[3472].end |
17554.65471875 |
transcript.pyannote[3473].speaker |
SPEAKER_17 |
transcript.pyannote[3473].start |
17554.65471875 |
transcript.pyannote[3473].end |
17555.27909375 |
transcript.pyannote[3474].speaker |
SPEAKER_17 |
transcript.pyannote[3474].start |
17556.02159375 |
transcript.pyannote[3474].end |
17556.86534375 |
transcript.pyannote[3475].speaker |
SPEAKER_17 |
transcript.pyannote[3475].start |
17557.91159375 |
transcript.pyannote[3475].end |
17559.97034375 |
transcript.pyannote[3476].speaker |
SPEAKER_17 |
transcript.pyannote[3476].start |
17560.56096875 |
transcript.pyannote[3476].end |
17562.43409375 |
transcript.pyannote[3477].speaker |
SPEAKER_17 |
transcript.pyannote[3477].start |
17562.61971875 |
transcript.pyannote[3477].end |
17564.86409375 |
transcript.pyannote[3478].speaker |
SPEAKER_17 |
transcript.pyannote[3478].start |
17566.24784375 |
transcript.pyannote[3478].end |
17567.07471875 |
transcript.pyannote[3479].speaker |
SPEAKER_17 |
transcript.pyannote[3479].start |
17568.20534375 |
transcript.pyannote[3479].end |
17570.29784375 |
transcript.pyannote[3480].speaker |
SPEAKER_19 |
transcript.pyannote[3480].start |
17572.98096875 |
transcript.pyannote[3480].end |
17584.79346875 |
transcript.pyannote[3481].speaker |
SPEAKER_00 |
transcript.pyannote[3481].start |
17579.14034375 |
transcript.pyannote[3481].end |
17579.61284375 |
transcript.pyannote[3482].speaker |
SPEAKER_19 |
transcript.pyannote[3482].start |
17585.18159375 |
transcript.pyannote[3482].end |
17593.82159375 |
transcript.pyannote[3483].speaker |
SPEAKER_17 |
transcript.pyannote[3483].start |
17590.32846875 |
transcript.pyannote[3483].end |
17594.69909375 |
transcript.pyannote[3484].speaker |
SPEAKER_17 |
transcript.pyannote[3484].start |
17595.77909375 |
transcript.pyannote[3484].end |
17598.37784375 |
transcript.pyannote[3485].speaker |
SPEAKER_17 |
transcript.pyannote[3485].start |
17599.25534375 |
transcript.pyannote[3485].end |
17602.63034375 |
transcript.pyannote[3486].speaker |
SPEAKER_19 |
transcript.pyannote[3486].start |
17603.44034375 |
transcript.pyannote[3486].end |
17607.03471875 |
transcript.pyannote[3487].speaker |
SPEAKER_17 |
transcript.pyannote[3487].start |
17607.03471875 |
transcript.pyannote[3487].end |
17613.66659375 |
transcript.pyannote[3488].speaker |
SPEAKER_17 |
transcript.pyannote[3488].start |
17614.10534375 |
transcript.pyannote[3488].end |
17615.57346875 |
transcript.pyannote[3489].speaker |
SPEAKER_22 |
transcript.pyannote[3489].start |
17616.50159375 |
transcript.pyannote[3489].end |
17616.78846875 |
transcript.pyannote[3490].speaker |
SPEAKER_17 |
transcript.pyannote[3490].start |
17616.78846875 |
transcript.pyannote[3490].end |
17618.99909375 |
transcript.pyannote[3491].speaker |
SPEAKER_17 |
transcript.pyannote[3491].start |
17619.79221875 |
transcript.pyannote[3491].end |
17621.74971875 |
transcript.pyannote[3492].speaker |
SPEAKER_17 |
transcript.pyannote[3492].start |
17622.52596875 |
transcript.pyannote[3492].end |
17624.90534375 |
transcript.pyannote[3493].speaker |
SPEAKER_17 |
transcript.pyannote[3493].start |
17626.57596875 |
transcript.pyannote[3493].end |
17629.96784375 |
transcript.pyannote[3494].speaker |
SPEAKER_17 |
transcript.pyannote[3494].start |
17630.86221875 |
transcript.pyannote[3494].end |
17631.53721875 |
transcript.pyannote[3495].speaker |
SPEAKER_17 |
transcript.pyannote[3495].start |
17632.75221875 |
transcript.pyannote[3495].end |
17637.67971875 |
transcript.pyannote[3496].speaker |
SPEAKER_17 |
transcript.pyannote[3496].start |
17638.11846875 |
transcript.pyannote[3496].end |
17638.59096875 |
transcript.pyannote[3497].speaker |
SPEAKER_17 |
transcript.pyannote[3497].start |
17638.75971875 |
transcript.pyannote[3497].end |
17640.97034375 |
transcript.pyannote[3498].speaker |
SPEAKER_17 |
transcript.pyannote[3498].start |
17641.49346875 |
transcript.pyannote[3498].end |
17644.05846875 |
transcript.pyannote[3499].speaker |
SPEAKER_17 |
transcript.pyannote[3499].start |
17644.44659375 |
transcript.pyannote[3499].end |
17644.83471875 |
transcript.pyannote[3500].speaker |
SPEAKER_17 |
transcript.pyannote[3500].start |
17645.10471875 |
transcript.pyannote[3500].end |
17646.04971875 |
transcript.pyannote[3501].speaker |
SPEAKER_17 |
transcript.pyannote[3501].start |
17647.80471875 |
transcript.pyannote[3501].end |
17652.85034375 |
transcript.pyannote[3502].speaker |
SPEAKER_17 |
transcript.pyannote[3502].start |
17653.60971875 |
transcript.pyannote[3502].end |
17655.06096875 |
transcript.pyannote[3503].speaker |
SPEAKER_17 |
transcript.pyannote[3503].start |
17655.36471875 |
transcript.pyannote[3503].end |
17656.27596875 |
transcript.pyannote[3504].speaker |
SPEAKER_17 |
transcript.pyannote[3504].start |
17656.47846875 |
transcript.pyannote[3504].end |
17657.76096875 |
transcript.pyannote[3505].speaker |
SPEAKER_17 |
transcript.pyannote[3505].start |
17659.29659375 |
transcript.pyannote[3505].end |
17665.70909375 |
transcript.pyannote[3506].speaker |
SPEAKER_19 |
transcript.pyannote[3506].start |
17666.72159375 |
transcript.pyannote[3506].end |
17676.30659375 |
transcript.pyannote[3507].speaker |
SPEAKER_19 |
transcript.pyannote[3507].start |
17676.62721875 |
transcript.pyannote[3507].end |
17683.71471875 |
transcript.pyannote[3508].speaker |
SPEAKER_17 |
transcript.pyannote[3508].start |
17682.49971875 |
transcript.pyannote[3508].end |
17690.86971875 |
transcript.pyannote[3509].speaker |
SPEAKER_19 |
transcript.pyannote[3509].start |
17690.97096875 |
transcript.pyannote[3509].end |
17694.78471875 |
transcript.pyannote[3510].speaker |
SPEAKER_19 |
transcript.pyannote[3510].start |
17695.00409375 |
transcript.pyannote[3510].end |
17715.76034375 |
transcript.pyannote[3511].speaker |
SPEAKER_17 |
transcript.pyannote[3511].start |
17712.08159375 |
transcript.pyannote[3511].end |
17712.13221875 |
transcript.pyannote[3512].speaker |
SPEAKER_17 |
transcript.pyannote[3512].start |
17712.97596875 |
transcript.pyannote[3512].end |
17715.37221875 |
transcript.pyannote[3513].speaker |
SPEAKER_21 |
transcript.pyannote[3513].start |
17715.37221875 |
transcript.pyannote[3513].end |
17715.42284375 |
transcript.pyannote[3514].speaker |
SPEAKER_19 |
transcript.pyannote[3514].start |
17716.13159375 |
transcript.pyannote[3514].end |
17716.75596875 |
transcript.pyannote[3515].speaker |
SPEAKER_19 |
transcript.pyannote[3515].start |
17717.43096875 |
transcript.pyannote[3515].end |
17731.13346875 |
transcript.pyannote[3516].speaker |
SPEAKER_19 |
transcript.pyannote[3516].start |
17731.43721875 |
transcript.pyannote[3516].end |
17741.17409375 |
transcript.pyannote[3517].speaker |
SPEAKER_17 |
transcript.pyannote[3517].start |
17741.17409375 |
transcript.pyannote[3517].end |
17744.80221875 |
transcript.pyannote[3518].speaker |
SPEAKER_19 |
transcript.pyannote[3518].start |
17741.19096875 |
transcript.pyannote[3518].end |
17741.56221875 |
transcript.pyannote[3519].speaker |
SPEAKER_19 |
transcript.pyannote[3519].start |
17744.80221875 |
transcript.pyannote[3519].end |
17745.34221875 |
transcript.pyannote[3520].speaker |
SPEAKER_17 |
transcript.pyannote[3520].start |
17745.20721875 |
transcript.pyannote[3520].end |
17758.84221875 |
transcript.pyannote[3521].speaker |
SPEAKER_17 |
transcript.pyannote[3521].start |
17759.51721875 |
transcript.pyannote[3521].end |
17762.18346875 |
transcript.pyannote[3522].speaker |
SPEAKER_17 |
transcript.pyannote[3522].start |
17762.47034375 |
transcript.pyannote[3522].end |
17766.65534375 |
transcript.pyannote[3523].speaker |
SPEAKER_17 |
transcript.pyannote[3523].start |
17766.92534375 |
transcript.pyannote[3523].end |
17773.21971875 |
transcript.pyannote[3524].speaker |
SPEAKER_17 |
transcript.pyannote[3524].start |
17773.52346875 |
transcript.pyannote[3524].end |
17779.49721875 |
transcript.pyannote[3525].speaker |
SPEAKER_17 |
transcript.pyannote[3525].start |
17779.85159375 |
transcript.pyannote[3525].end |
17782.11284375 |
transcript.pyannote[3526].speaker |
SPEAKER_17 |
transcript.pyannote[3526].start |
17782.90596875 |
transcript.pyannote[3526].end |
17787.34409375 |
transcript.pyannote[3527].speaker |
SPEAKER_17 |
transcript.pyannote[3527].start |
17788.06971875 |
transcript.pyannote[3527].end |
17791.17471875 |
transcript.pyannote[3528].speaker |
SPEAKER_17 |
transcript.pyannote[3528].start |
17791.84971875 |
transcript.pyannote[3528].end |
17794.61721875 |
transcript.pyannote[3529].speaker |
SPEAKER_17 |
transcript.pyannote[3529].start |
17795.12346875 |
transcript.pyannote[3529].end |
17798.70096875 |
transcript.pyannote[3530].speaker |
SPEAKER_17 |
transcript.pyannote[3530].start |
17799.49409375 |
transcript.pyannote[3530].end |
17803.17284375 |
transcript.pyannote[3531].speaker |
SPEAKER_17 |
transcript.pyannote[3531].start |
17803.72971875 |
transcript.pyannote[3531].end |
17812.60596875 |
transcript.pyannote[3532].speaker |
SPEAKER_17 |
transcript.pyannote[3532].start |
17812.99409375 |
transcript.pyannote[3532].end |
17818.10721875 |
transcript.pyannote[3533].speaker |
SPEAKER_17 |
transcript.pyannote[3533].start |
17818.64721875 |
transcript.pyannote[3533].end |
17821.09409375 |
transcript.pyannote[3534].speaker |
SPEAKER_17 |
transcript.pyannote[3534].start |
17821.48221875 |
transcript.pyannote[3534].end |
17827.62471875 |
transcript.pyannote[3535].speaker |
SPEAKER_17 |
transcript.pyannote[3535].start |
17828.18159375 |
transcript.pyannote[3535].end |
17831.69159375 |
transcript.pyannote[3536].speaker |
SPEAKER_17 |
transcript.pyannote[3536].start |
17832.16409375 |
transcript.pyannote[3536].end |
17832.48471875 |
transcript.pyannote[3537].speaker |
SPEAKER_17 |
transcript.pyannote[3537].start |
17833.07534375 |
transcript.pyannote[3537].end |
17833.76721875 |
transcript.pyannote[3538].speaker |
SPEAKER_17 |
transcript.pyannote[3538].start |
17834.05409375 |
transcript.pyannote[3538].end |
17834.91471875 |
transcript.pyannote[3539].speaker |
SPEAKER_17 |
transcript.pyannote[3539].start |
17835.42096875 |
transcript.pyannote[3539].end |
17836.26471875 |
transcript.pyannote[3540].speaker |
SPEAKER_17 |
transcript.pyannote[3540].start |
17837.37846875 |
transcript.pyannote[3540].end |
17844.58409375 |
transcript.pyannote[3541].speaker |
SPEAKER_17 |
transcript.pyannote[3541].start |
17845.20846875 |
transcript.pyannote[3541].end |
17856.80159375 |
transcript.pyannote[3542].speaker |
SPEAKER_17 |
transcript.pyannote[3542].start |
17856.93659375 |
transcript.pyannote[3542].end |
17863.11284375 |
transcript.pyannote[3543].speaker |
SPEAKER_17 |
transcript.pyannote[3543].start |
17863.46721875 |
transcript.pyannote[3543].end |
17866.84221875 |
transcript.pyannote[3544].speaker |
SPEAKER_17 |
transcript.pyannote[3544].start |
17866.99409375 |
transcript.pyannote[3544].end |
17868.10784375 |
transcript.pyannote[3545].speaker |
SPEAKER_17 |
transcript.pyannote[3545].start |
17868.64784375 |
transcript.pyannote[3545].end |
17873.67659375 |
transcript.pyannote[3546].speaker |
SPEAKER_17 |
transcript.pyannote[3546].start |
17873.87909375 |
transcript.pyannote[3546].end |
17881.54034375 |
transcript.pyannote[3547].speaker |
SPEAKER_17 |
transcript.pyannote[3547].start |
17881.77659375 |
transcript.pyannote[3547].end |
17907.42659375 |
transcript.pyannote[3548].speaker |
SPEAKER_17 |
transcript.pyannote[3548].start |
17908.08471875 |
transcript.pyannote[3548].end |
17908.52346875 |
transcript.pyannote[3549].speaker |
SPEAKER_17 |
transcript.pyannote[3549].start |
17908.77659375 |
transcript.pyannote[3549].end |
17909.51909375 |
transcript.pyannote[3550].speaker |
SPEAKER_17 |
transcript.pyannote[3550].start |
17910.04221875 |
transcript.pyannote[3550].end |
17912.20221875 |
transcript.pyannote[3551].speaker |
SPEAKER_17 |
transcript.pyannote[3551].start |
17912.72534375 |
transcript.pyannote[3551].end |
17914.85159375 |
transcript.pyannote[3552].speaker |
SPEAKER_17 |
transcript.pyannote[3552].start |
17915.35784375 |
transcript.pyannote[3552].end |
17917.48409375 |
transcript.pyannote[3553].speaker |
SPEAKER_17 |
transcript.pyannote[3553].start |
17918.74971875 |
transcript.pyannote[3553].end |
17921.06159375 |
transcript.pyannote[3554].speaker |
SPEAKER_17 |
transcript.pyannote[3554].start |
17921.58471875 |
transcript.pyannote[3554].end |
17925.16221875 |
transcript.pyannote[3555].speaker |
SPEAKER_17 |
transcript.pyannote[3555].start |
17925.83721875 |
transcript.pyannote[3555].end |
17931.92909375 |
transcript.pyannote[3556].speaker |
SPEAKER_17 |
transcript.pyannote[3556].start |
17932.48596875 |
transcript.pyannote[3556].end |
17942.76284375 |
transcript.pyannote[3557].speaker |
SPEAKER_16 |
transcript.pyannote[3557].start |
17944.60221875 |
transcript.pyannote[3557].end |
17946.37409375 |
transcript.pyannote[3558].speaker |
SPEAKER_16 |
transcript.pyannote[3558].start |
17947.08284375 |
transcript.pyannote[3558].end |
17948.09534375 |
transcript.pyannote[3559].speaker |
SPEAKER_16 |
transcript.pyannote[3559].start |
17950.62659375 |
transcript.pyannote[3559].end |
17951.31846875 |
transcript.pyannote[3560].speaker |
SPEAKER_16 |
transcript.pyannote[3560].start |
17951.57159375 |
transcript.pyannote[3560].end |
17964.90284375 |
transcript.pyannote[3561].speaker |
SPEAKER_17 |
transcript.pyannote[3561].start |
17964.46409375 |
transcript.pyannote[3561].end |
17967.50159375 |
transcript.pyannote[3562].speaker |
SPEAKER_16 |
transcript.pyannote[3562].start |
17967.70409375 |
transcript.pyannote[3562].end |
17968.04159375 |
transcript.pyannote[3563].speaker |
SPEAKER_17 |
transcript.pyannote[3563].start |
17968.12596875 |
transcript.pyannote[3563].end |
17969.71221875 |
transcript.pyannote[3564].speaker |
SPEAKER_16 |
transcript.pyannote[3564].start |
17969.30721875 |
transcript.pyannote[3564].end |
17971.58534375 |
transcript.pyannote[3565].speaker |
SPEAKER_17 |
transcript.pyannote[3565].start |
17970.26909375 |
transcript.pyannote[3565].end |
17974.50471875 |
transcript.pyannote[3566].speaker |
SPEAKER_17 |
transcript.pyannote[3566].start |
17974.97721875 |
transcript.pyannote[3566].end |
17975.68596875 |
transcript.pyannote[3567].speaker |
SPEAKER_16 |
transcript.pyannote[3567].start |
17975.95596875 |
transcript.pyannote[3567].end |
17976.25971875 |
transcript.pyannote[3568].speaker |
SPEAKER_17 |
transcript.pyannote[3568].start |
17976.86721875 |
transcript.pyannote[3568].end |
17978.03159375 |
transcript.pyannote[3569].speaker |
SPEAKER_17 |
transcript.pyannote[3569].start |
17978.50409375 |
transcript.pyannote[3569].end |
17980.34346875 |
transcript.pyannote[3570].speaker |
SPEAKER_07 |
transcript.pyannote[3570].start |
17987.02596875 |
transcript.pyannote[3570].end |
17991.97034375 |
transcript.pyannote[3571].speaker |
SPEAKER_17 |
transcript.pyannote[3571].start |
17991.97034375 |
transcript.pyannote[3571].end |
18004.33971875 |
transcript.pyannote[3572].speaker |
SPEAKER_22 |
transcript.pyannote[3572].start |
18004.37346875 |
transcript.pyannote[3572].end |
18004.39034375 |
transcript.pyannote[3573].speaker |
SPEAKER_17 |
transcript.pyannote[3573].start |
18004.39034375 |
transcript.pyannote[3573].end |
18004.40721875 |
transcript.pyannote[3574].speaker |
SPEAKER_22 |
transcript.pyannote[3574].start |
18004.40721875 |
transcript.pyannote[3574].end |
18004.77846875 |
transcript.pyannote[3575].speaker |
SPEAKER_17 |
transcript.pyannote[3575].start |
18005.13284375 |
transcript.pyannote[3575].end |
18010.83659375 |
transcript.pyannote[3576].speaker |
SPEAKER_05 |
transcript.pyannote[3576].start |
18005.28471875 |
transcript.pyannote[3576].end |
18005.31846875 |
transcript.pyannote[3577].speaker |
SPEAKER_05 |
transcript.pyannote[3577].start |
18005.33534375 |
transcript.pyannote[3577].end |
18005.84159375 |
transcript.pyannote[3578].speaker |
SPEAKER_05 |
transcript.pyannote[3578].start |
18005.85846875 |
transcript.pyannote[3578].end |
18009.18284375 |
transcript.pyannote[3579].speaker |
SPEAKER_05 |
transcript.pyannote[3579].start |
18011.49471875 |
transcript.pyannote[3579].end |
18035.20409375 |
transcript.pyannote[3580].speaker |
SPEAKER_05 |
transcript.pyannote[3580].start |
18047.05034375 |
transcript.pyannote[3580].end |
18048.94034375 |
transcript.pyannote[3581].speaker |
SPEAKER_05 |
transcript.pyannote[3581].start |
18049.12596875 |
transcript.pyannote[3581].end |
18051.16784375 |
transcript.pyannote[3582].speaker |
SPEAKER_08 |
transcript.pyannote[3582].start |
18061.27596875 |
transcript.pyannote[3582].end |
18070.48971875 |
transcript.pyannote[3583].speaker |
SPEAKER_08 |
transcript.pyannote[3583].start |
18070.94534375 |
transcript.pyannote[3583].end |
18082.30221875 |
transcript.pyannote[3584].speaker |
SPEAKER_08 |
transcript.pyannote[3584].start |
18082.80846875 |
transcript.pyannote[3584].end |
18101.18534375 |
transcript.pyannote[3585].speaker |
SPEAKER_08 |
transcript.pyannote[3585].start |
18101.53971875 |
transcript.pyannote[3585].end |
18105.79221875 |
transcript.pyannote[3586].speaker |
SPEAKER_08 |
transcript.pyannote[3586].start |
18105.94409375 |
transcript.pyannote[3586].end |
18105.96096875 |
transcript.pyannote[3587].speaker |
SPEAKER_08 |
transcript.pyannote[3587].start |
18105.97784375 |
transcript.pyannote[3587].end |
18113.75721875 |
transcript.pyannote[3588].speaker |
SPEAKER_08 |
transcript.pyannote[3588].start |
18114.11159375 |
transcript.pyannote[3588].end |
18116.91284375 |
transcript.pyannote[3589].speaker |
SPEAKER_08 |
transcript.pyannote[3589].start |
18117.58784375 |
transcript.pyannote[3589].end |
18120.84471875 |
transcript.pyannote[3590].speaker |
SPEAKER_08 |
transcript.pyannote[3590].start |
18121.01346875 |
transcript.pyannote[3590].end |
18123.08909375 |
transcript.pyannote[3591].speaker |
SPEAKER_08 |
transcript.pyannote[3591].start |
18123.32534375 |
transcript.pyannote[3591].end |
18125.56971875 |
transcript.pyannote[3592].speaker |
SPEAKER_08 |
transcript.pyannote[3592].start |
18125.89034375 |
transcript.pyannote[3592].end |
18130.88534375 |
transcript.pyannote[3593].speaker |
SPEAKER_08 |
transcript.pyannote[3593].start |
18131.23971875 |
transcript.pyannote[3593].end |
18134.00721875 |
transcript.pyannote[3594].speaker |
SPEAKER_08 |
transcript.pyannote[3594].start |
18134.53034375 |
transcript.pyannote[3594].end |
18138.04034375 |
transcript.pyannote[3595].speaker |
SPEAKER_08 |
transcript.pyannote[3595].start |
18138.44534375 |
transcript.pyannote[3595].end |
18139.28909375 |
transcript.pyannote[3596].speaker |
SPEAKER_08 |
transcript.pyannote[3596].start |
18139.71096875 |
transcript.pyannote[3596].end |
18140.92596875 |
transcript.pyannote[3597].speaker |
SPEAKER_08 |
transcript.pyannote[3597].start |
18141.39846875 |
transcript.pyannote[3597].end |
18142.76534375 |
transcript.pyannote[3598].speaker |
SPEAKER_16 |
transcript.pyannote[3598].start |
18143.20409375 |
transcript.pyannote[3598].end |
18144.40221875 |
transcript.pyannote[3599].speaker |
SPEAKER_16 |
transcript.pyannote[3599].start |
18144.77346875 |
transcript.pyannote[3599].end |
18149.51534375 |
transcript.pyannote[3600].speaker |
SPEAKER_16 |
transcript.pyannote[3600].start |
18149.80221875 |
transcript.pyannote[3600].end |
18217.72409375 |
transcript.pyannote[3601].speaker |
SPEAKER_16 |
transcript.pyannote[3601].start |
18218.29784375 |
transcript.pyannote[3601].end |
18228.05159375 |
transcript.pyannote[3602].speaker |
SPEAKER_16 |
transcript.pyannote[3602].start |
18229.08096875 |
transcript.pyannote[3602].end |
18240.15096875 |
transcript.pyannote[3603].speaker |
SPEAKER_16 |
transcript.pyannote[3603].start |
18240.28596875 |
transcript.pyannote[3603].end |
18255.97971875 |
transcript.pyannote[3604].speaker |
SPEAKER_08 |
transcript.pyannote[3604].start |
18255.13596875 |
transcript.pyannote[3604].end |
18262.18971875 |
transcript.pyannote[3605].speaker |
SPEAKER_16 |
transcript.pyannote[3605].start |
18262.61159375 |
transcript.pyannote[3605].end |
18263.21909375 |
transcript.pyannote[3606].speaker |
SPEAKER_16 |
transcript.pyannote[3606].start |
18263.75909375 |
transcript.pyannote[3606].end |
18265.34534375 |
transcript.pyannote[3607].speaker |
SPEAKER_16 |
transcript.pyannote[3607].start |
18265.71659375 |
transcript.pyannote[3607].end |
18272.19659375 |
transcript.pyannote[3608].speaker |
SPEAKER_08 |
transcript.pyannote[3608].start |
18272.19659375 |
transcript.pyannote[3608].end |
18290.75909375 |
transcript.pyannote[3609].speaker |
SPEAKER_16 |
transcript.pyannote[3609].start |
18272.51721875 |
transcript.pyannote[3609].end |
18273.29346875 |
transcript.pyannote[3610].speaker |
SPEAKER_16 |
transcript.pyannote[3610].start |
18275.25096875 |
transcript.pyannote[3610].end |
18275.43659375 |
transcript.pyannote[3611].speaker |
SPEAKER_22 |
transcript.pyannote[3611].start |
18275.43659375 |
transcript.pyannote[3611].end |
18275.52096875 |
transcript.pyannote[3612].speaker |
SPEAKER_16 |
transcript.pyannote[3612].start |
18277.44471875 |
transcript.pyannote[3612].end |
18277.96784375 |
transcript.pyannote[3613].speaker |
SPEAKER_16 |
transcript.pyannote[3613].start |
18284.32971875 |
transcript.pyannote[3613].end |
18284.76846875 |
transcript.pyannote[3614].speaker |
SPEAKER_08 |
transcript.pyannote[3614].start |
18290.91096875 |
transcript.pyannote[3614].end |
18305.57534375 |
transcript.pyannote[3615].speaker |
SPEAKER_16 |
transcript.pyannote[3615].start |
18291.51846875 |
transcript.pyannote[3615].end |
18293.15534375 |
transcript.pyannote[3616].speaker |
SPEAKER_08 |
transcript.pyannote[3616].start |
18305.64284375 |
transcript.pyannote[3616].end |
18321.97784375 |
transcript.pyannote[3617].speaker |
SPEAKER_22 |
transcript.pyannote[3617].start |
18314.51909375 |
transcript.pyannote[3617].end |
18315.07596875 |
transcript.pyannote[3618].speaker |
SPEAKER_08 |
transcript.pyannote[3618].start |
18322.46721875 |
transcript.pyannote[3618].end |
18332.17034375 |
transcript.pyannote[3619].speaker |
SPEAKER_22 |
transcript.pyannote[3619].start |
18332.27159375 |
transcript.pyannote[3619].end |
18332.47409375 |
transcript.pyannote[3620].speaker |
SPEAKER_08 |
transcript.pyannote[3620].start |
18332.47409375 |
transcript.pyannote[3620].end |
18355.28909375 |
transcript.pyannote[3621].speaker |
SPEAKER_22 |
transcript.pyannote[3621].start |
18332.49096875 |
transcript.pyannote[3621].end |
18332.54159375 |
transcript.pyannote[3622].speaker |
SPEAKER_22 |
transcript.pyannote[3622].start |
18334.09409375 |
transcript.pyannote[3622].end |
18334.51596875 |
transcript.pyannote[3623].speaker |
SPEAKER_08 |
transcript.pyannote[3623].start |
18356.18346875 |
transcript.pyannote[3623].end |
18356.43659375 |
transcript.pyannote[3624].speaker |
SPEAKER_08 |
transcript.pyannote[3624].start |
18356.92596875 |
transcript.pyannote[3624].end |
18358.57971875 |
transcript.pyannote[3625].speaker |
SPEAKER_08 |
transcript.pyannote[3625].start |
18358.81596875 |
transcript.pyannote[3625].end |
18359.54159375 |
transcript.pyannote[3626].speaker |
SPEAKER_08 |
transcript.pyannote[3626].start |
18360.08159375 |
transcript.pyannote[3626].end |
18361.51596875 |
transcript.pyannote[3627].speaker |
SPEAKER_08 |
transcript.pyannote[3627].start |
18361.90409375 |
transcript.pyannote[3627].end |
18366.42659375 |
transcript.pyannote[3628].speaker |
SPEAKER_08 |
transcript.pyannote[3628].start |
18367.08471875 |
transcript.pyannote[3628].end |
18373.53096875 |
transcript.pyannote[3629].speaker |
SPEAKER_08 |
transcript.pyannote[3629].start |
18373.76721875 |
transcript.pyannote[3629].end |
18378.13784375 |
transcript.pyannote[3630].speaker |
SPEAKER_08 |
transcript.pyannote[3630].start |
18378.66096875 |
transcript.pyannote[3630].end |
18381.42846875 |
transcript.pyannote[3631].speaker |
SPEAKER_08 |
transcript.pyannote[3631].start |
18381.95159375 |
transcript.pyannote[3631].end |
18382.71096875 |
transcript.pyannote[3632].speaker |
SPEAKER_08 |
transcript.pyannote[3632].start |
18382.96409375 |
transcript.pyannote[3632].end |
18384.06096875 |
transcript.pyannote[3633].speaker |
SPEAKER_08 |
transcript.pyannote[3633].start |
18384.36471875 |
transcript.pyannote[3633].end |
18387.03096875 |
transcript.pyannote[3634].speaker |
SPEAKER_08 |
transcript.pyannote[3634].start |
18387.19971875 |
transcript.pyannote[3634].end |
18402.26909375 |
transcript.pyannote[3635].speaker |
SPEAKER_08 |
transcript.pyannote[3635].start |
18402.91034375 |
transcript.pyannote[3635].end |
18412.54596875 |
transcript.pyannote[3636].speaker |
SPEAKER_08 |
transcript.pyannote[3636].start |
18413.20409375 |
transcript.pyannote[3636].end |
18419.05971875 |
transcript.pyannote[3637].speaker |
SPEAKER_08 |
transcript.pyannote[3637].start |
18419.29596875 |
transcript.pyannote[3637].end |
18423.49784375 |
transcript.pyannote[3638].speaker |
SPEAKER_16 |
transcript.pyannote[3638].start |
18419.80221875 |
transcript.pyannote[3638].end |
18420.03846875 |
transcript.pyannote[3639].speaker |
SPEAKER_16 |
transcript.pyannote[3639].start |
18421.81034375 |
transcript.pyannote[3639].end |
18427.02471875 |
transcript.pyannote[3640].speaker |
SPEAKER_08 |
transcript.pyannote[3640].start |
18423.64971875 |
transcript.pyannote[3640].end |
18424.03784375 |
transcript.pyannote[3641].speaker |
SPEAKER_05 |
transcript.pyannote[3641].start |
18427.02471875 |
transcript.pyannote[3641].end |
18427.76721875 |
transcript.pyannote[3642].speaker |
SPEAKER_05 |
transcript.pyannote[3642].start |
18429.01596875 |
transcript.pyannote[3642].end |
18432.45846875 |
transcript.pyannote[3643].speaker |
SPEAKER_05 |
transcript.pyannote[3643].start |
18432.61034375 |
transcript.pyannote[3643].end |
18447.22409375 |
transcript.pyannote[3644].speaker |
SPEAKER_05 |
transcript.pyannote[3644].start |
18448.62471875 |
transcript.pyannote[3644].end |
18488.55096875 |
transcript.pyannote[3645].speaker |
SPEAKER_05 |
transcript.pyannote[3645].start |
18489.66471875 |
transcript.pyannote[3645].end |
18508.05846875 |
transcript.pyannote[3646].speaker |
SPEAKER_05 |
transcript.pyannote[3646].start |
18508.34534375 |
transcript.pyannote[3646].end |
18525.10221875 |
transcript.pyannote[3647].speaker |
SPEAKER_05 |
transcript.pyannote[3647].start |
18527.93721875 |
transcript.pyannote[3647].end |
18530.28284375 |
transcript.pyannote[3648].speaker |
SPEAKER_30 |
transcript.pyannote[3648].start |
18556.25346875 |
transcript.pyannote[3648].end |
18558.59909375 |
transcript.whisperx[0].start |
1789.181 |
transcript.whisperx[0].end |
1803.591 |
transcript.whisperx[0].text |
好各位請就座各位媒體朋友大家早來讓石董事長先坐下來好不好先坐下來先坐下來等一下找時間讓你們訪問好不好等一下還有休息時間來請各位媒體好那個科長 |
transcript.whisperx[1].start |
1849.514 |
transcript.whisperx[1].end |
1873.76 |
transcript.whisperx[1].text |
好各位媒體來拜託拜託等一下還有休息時間好不好來先離開好不好來好各位請就座我們來開會來好出席委員已足法定人數現在開會請議事人員宣讀上一次會議議事錄現在請議事人員宣讀 |
transcript.whisperx[2].start |
1881.533 |
transcript.whisperx[2].end |
1900.326 |
transcript.whisperx[2].text |
立法院第十一屆第三會期交通委員會第十六次全體委員會議議事錄時間一百一十四年六月十八日星期三上午九時二分至中午十二時五十一分地點本月紅樓二零一會議室出席委員洪孟凱等十五人面席委員葛如君等十五人面席官員區域發展部部長黃燕南等 |
transcript.whisperx[3].start |
1900.746 |
transcript.whisperx[3].end |
1927.497 |
transcript.whisperx[3].text |
主席許昭及委員智傑報告四項宣讀上次會議議事錄決定議事錄確定邀請數位發展部進行專題報告並備諮詢本日會議由數位發展部部長黃燕蘭報告後機由委員黃孟凱等21人提出諮詢軍經部長黃燕蘭及相關人員分別予以答覆決定一報告及詢討完畢二委員楊瓊英所提書面諮詢列入紀錄並刊登公報三委員諮詢中要求提供相關書面資料 |
transcript.whisperx[4].start |
1928.639 |
transcript.whisperx[4].end |
1956.707 |
transcript.whisperx[4].text |
問未及答覆部分 請稅務發展部盡數以書面答覆 散會宣讀完畢好 現在宣讀完畢 那現在我們來介紹我們本會委員李坤哲委員好 我們列席官員 交通部陳士凱部長 |
transcript.whisperx[5].start |
1958.769 |
transcript.whisperx[5].end |
1965.114 |
transcript.whisperx[5].text |
人事處陳崑岩處長陸正獅師長黃應貴師長綜合規劃師張垂龍師長供應師胡富師長鐵道局楊振軍局長觀光署黃世芳副署長 |
transcript.whisperx[6].start |
1989.65 |
transcript.whisperx[6].end |
2005.015 |
transcript.whisperx[6].text |
台灣鐵路公司鄭光炎董事長台灣高鐵公司史澤董事長好現在我們就進行 |
transcript.whisperx[7].start |
2006.523 |
transcript.whisperx[7].end |
2027.69 |
transcript.whisperx[7].text |
本日會議進行交通部台鐵公司及台灣高鐵公司人事調整及新任首長之業務展望的專案報告因觀光署新任署長尚未到職 |
transcript.whisperx[8].start |
2028.57 |
transcript.whisperx[8].end |
2048.517 |
transcript.whisperx[8].text |
所以本日會議就先請起議所長報告及變形那觀光署再另行則起來排案所以現在我們請各所長來報告現在請交通部的陳士凱部長來做報告 |
transcript.whisperx[9].start |
2057.079 |
transcript.whisperx[9].end |
2079.822 |
transcript.whisperx[9].text |
主席各位委員各位女士先生今天應邀致貴委員會就交通部觀光署國營台灣鐵路股份有限公司以及台灣高鐵股份有限公司人事調整及新任首長之業務展望進行專題報告請說明如後敬請各位委員指教 |
transcript.whisperx[10].start |
2081.564 |
transcript.whisperx[10].end |
2100.823 |
transcript.whisperx[10].text |
人事調整的概況在台鐵公司以及高鐵公司以及總的董事長以及總經理都是依據行政院相關的規定由本部簽請行政院核可有關本部報請行政院核派人選的學經歷簡要說明如下 |
transcript.whisperx[11].start |
2101.744 |
transcript.whisperx[11].end |
2127.15 |
transcript.whisperx[11].text |
台鐵公司新任鄭光源董事長國立交通大學交通運輸研究所博士曾任長榮集團義大利海運副董事長長榮以及利榮航空董事長高鐵公司董事長等職現任馮輝升總經理國立台灣大學土木工程學系碩士前任職於 |
transcript.whisperx[12].start |
2127.91 |
transcript.whisperx[12].end |
2143.584 |
transcript.whisperx[12].text |
在公司化之前的原台灣鐵路管理局副局長職務鄭董事長以及馮總經理今114年6月16日台鐵公司董事會選任以及委任 |
transcript.whisperx[13].start |
2144.585 |
transcript.whisperx[13].end |
2155.209 |
transcript.whisperx[13].text |
高鐵公司新任史哲董事長東海大學資訊科學學系畢業曾任台中縣政府秘書行政院勞委會勞工委員會勞保局總經理 |
transcript.whisperx[14].start |
2160.236 |
transcript.whisperx[14].end |
2176.808 |
transcript.whisperx[14].text |
高雄市政府新聞處處長、文化局局長、副市長、文化部部長以及行政院政務委員等職務新任陳惠譽總經理國立中山大學管理學院高階經營碩士 |
transcript.whisperx[15].start |
2178.843 |
transcript.whisperx[15].end |
2204.792 |
transcript.whisperx[15].text |
自高鐵成立初期就加入高鐵從基層做起經歷維修部技術管理科工程技術部廠站以及設施部維修處等等多個重要的單位史哲董事長以及陳總經理經114年6月13日高鐵公司董事會選任以及委任 |
transcript.whisperx[16].start |
2205.97 |
transcript.whisperx[16].end |
2225.328 |
transcript.whisperx[16].text |
本部將持續關注各項業務的發展提供國人以及旅客更優質的運輸服務接下來由台鐵公司鄭董事長以及高鐵公司石董事長就各公司未來業務展望接續個別報告敬請各位委員會與指教 |
transcript.whisperx[17].start |
2228.035 |
transcript.whisperx[17].end |
2244.55 |
transcript.whisperx[17].text |
好 謝謝我們陳世凱部長現在請鐵道級楊振軍局長來報告振軍有沒有沒有 好那現在請台鐵公司鄭光炎董事長來報告 |
transcript.whisperx[18].start |
2255.65 |
transcript.whisperx[18].end |
2265.217 |
transcript.whisperx[18].text |
主席各位委員各位女士先生大家早安今天應邀至貴委員會就交通部觀光署 |
transcript.whisperx[19].start |
2266.343 |
transcript.whisperx[19].end |
2285.809 |
transcript.whisperx[19].text |
台鐵公司及高鐵公司人事調整及新任所長的業務展望進行專題報告僅說明如後 敬請各位委員支持指教本人上任後主要任務以旅客的需求為導向希望努力來達成 |
transcript.whisperx[20].start |
2287.602 |
transcript.whisperx[20].end |
2305.461 |
transcript.whisperx[20].text |
安全準點與便捷三大目標持續以安全穩定為基礎來營造友善的職場提升決策品質與加速財務改革邁向公司的永續經營逐步實現轉虧為盈的目標 |
transcript.whisperx[21].start |
2309.005 |
transcript.whisperx[21].end |
2332.05 |
transcript.whisperx[21].text |
在安全方面我們要持續推動安全管理系統與第三方的評鑑逐步來建立安全第一的組織文化未來也會導入更多激勵跟制度化的措施目標是實現零公安制度 零重大行車事故在準點方面 |
transcript.whisperx[22].start |
2332.944 |
transcript.whisperx[22].end |
2336.209 |
transcript.whisperx[22].text |
海鐵公司定期召開霧點改善小組會議會針對車輛後製 |
transcript.whisperx[23].start |
2341.158 |
transcript.whisperx[23].end |
2364.351 |
transcript.whisperx[23].text |
便利等可控的因素呢來提出改善的策略並持續追蹤確保列車準時到站穩定運行在便捷方面我們正在更新前線的列車資訊顯示系統那麼提供更即時更清楚的旅運的資訊 |
transcript.whisperx[24].start |
2365.732 |
transcript.whisperx[24].end |
2381.638 |
transcript.whisperx[24].text |
此外也會持續來優化我們的票務服務系統包括手機的取票一機多票功能等讓親子同行或者照顧旅客的需求都能夠被照顧到 |
transcript.whisperx[25].start |
2382.718 |
transcript.whisperx[25].end |
2397.795 |
transcript.whisperx[25].text |
今年6月26號開始我們會實施年度的改點其中我們總共調整386車次預期可以有效來提升 |
transcript.whisperx[26].start |
2399.056 |
transcript.whisperx[26].end |
2411.665 |
transcript.whisperx[26].text |
北中區間車的運能未來我們也將持續來導入智慧化的排班系統透過大數據分析來優化我們的行車計畫 |
transcript.whisperx[27].start |
2413.769 |
transcript.whisperx[27].end |
2434.42 |
transcript.whisperx[27].text |
我們也會與高鐵公路局合作在連駕或者事故期間啟動運具聯防加強應變輸運的運能那在廠站方面我們也會持續來改善照明後車空間以公共廁所來推動地方創生發展鐵道經濟 |
transcript.whisperx[28].start |
2437.802 |
transcript.whisperx[28].end |
2458.354 |
transcript.whisperx[28].text |
同時我們也持續將與旅遊業者進行異業合作推出台鐵架騎的產品提供一站式的服務也會配合地方的各種大型活動來加開列車以便促進地方的觀光以及在地的經濟 |
transcript.whisperx[29].start |
2459.892 |
transcript.whisperx[29].end |
2481.663 |
transcript.whisperx[29].text |
台鐵公司將全力來透過安全準點便捷優質服務的提供那麼以便來提升旅客的滿意度增加大眾來搭乘的意願提高旅運量進而提升我們公司的旅運收入在營造友善職場方面 |
transcript.whisperx[30].start |
2482.608 |
transcript.whisperx[30].end |
2505.527 |
transcript.whisperx[30].text |
我們會以目標管理以及績效考核作為核心建立合理的升遷制度以及轉調制度同時會來持續檢討員工的待遇加速招募與培訓提升人力的穩定跟營運的效能在員工福利方面 |
transcript.whisperx[31].start |
2507.145 |
transcript.whisperx[31].end |
2525.921 |
transcript.whisperx[31].text |
公司自去年成立以來已經提撥了一定金額成立了職工福利的基金那麼我們會持續來提高這個節慶的禮金以及保險的補助和健檢的補助等十指的福利 |
transcript.whisperx[32].start |
2527.802 |
transcript.whisperx[32].end |
2546.233 |
transcript.whisperx[32].text |
那麼同時我們也逐步來改善辦公跟執勤的空間並且設立員工托育中心讓同仁能夠兼顧工作與家庭在提升公司的決策品質方面我們將強化 |
transcript.whisperx[33].start |
2550.444 |
transcript.whisperx[33].end |
2577.722 |
transcript.whisperx[33].text |
中南東市區的分區治理整合轄區內各單位的職能加強橫向的溝通與協調依照區域的特性來推動務實的策略並且全面來導入成敗有責的當者文化各單位會明確的設定目標以及可衡量的成果 |
transcript.whisperx[34].start |
2578.803 |
transcript.whisperx[34].end |
2586.637 |
transcript.whisperx[34].text |
我們也鼓勵員工來積極參與主動建言提升同仁的認同感與榮譽感 |
transcript.whisperx[35].start |
2588.601 |
transcript.whisperx[35].end |
2607.099 |
transcript.whisperx[35].text |
在加速財務改革方面目前公司已經成立財務改革專案的小組持續嚴密開源節流的措施並且透過車站空間創收小組以及商品開發小組來拓展資產開發 |
transcript.whisperx[36].start |
2610.282 |
transcript.whisperx[36].end |
2637.823 |
transcript.whisperx[36].text |
活化车站的商业空间发展自由品牌提升副业的营收以及整体的财务体质此外我们也将本业跟副业并重善用环岛路网跟各地的土地资源来强化铁路事业在国家与地方上做个连结追求共荣与永续发展 |
transcript.whisperx[37].start |
2638.769 |
transcript.whisperx[37].end |
2655.979 |
transcript.whisperx[37].text |
那麼在配合新票價實施以後我們會增加現金流促進財務的健全達到預定的公司財務目標也就是在115年能夠達到實現我們的現金流轉正在117年能夠轉寬轉虧為盈的這個目標最後我們對未來的展望 |
transcript.whisperx[38].start |
2668.865 |
transcript.whisperx[38].end |
2685.991 |
transcript.whisperx[38].text |
台鐵公司將以旅客需求為導向努力來達成安全準點與便捷三大目標我們期許建立一個讓同仁願意上班也願意開心下班的快樂職場 |
transcript.whisperx[39].start |
2688.132 |
transcript.whisperx[39].end |
2714.779 |
transcript.whisperx[39].text |
讓員工沒有後顧之憂專注為旅客提供優質的服務並且能夠透過各項制度的改善優化讓台鐵能更加符合社會各界的期許那麼從此旅客們對台鐵的信心找回台鐵人對於自己的光榮感以上報告敬請各位委員支持指教謝謝 |
transcript.whisperx[40].start |
2717.108 |
transcript.whisperx[40].end |
2725.545 |
transcript.whisperx[40].text |
好 謝謝我們台鐵公司的鄭光炎董事長現在請台灣高鐵公司的史哲董事長報告 |
transcript.whisperx[41].start |
2739.566 |
transcript.whisperx[41].end |
2763.615 |
transcript.whisperx[41].text |
來主席各位委員各位女士各位先生今天非常榮幸應邀至貴委員會就交通部公安署台鐵公司及高鐵公司人事調整及新任首長之業務展望進行報告我將從台灣高鐵的經營績效與業務展望說明我未來計畫推動的方向也敬請各位委員給予指教 |
transcript.whisperx[42].start |
2765.041 |
transcript.whisperx[42].end |
2770.208 |
transcript.whisperx[42].text |
臺灣高鐵自通車至今超過18年2024年每日平均運量21萬4萬人次較2023年成長約7%帶動營收同比年成長約7% |
transcript.whisperx[43].start |
2782.023 |
transcript.whisperx[43].end |
2800.03 |
transcript.whisperx[43].text |
觀察近期市場需求易後運量反彈的力量已經漸漸趨緩今年一到五月的運量增率約大概3.4和我們的預期值相近臺灣高鐵為了加強服務旅客經滾動式檢討各時段的需求情形 |
transcript.whisperx[44].start |
2801.411 |
transcript.whisperx[44].end |
2823.341 |
transcript.whisperx[44].text |
自今年7月1號起 每週常態班次將增開25班次每週總開行班次將達1128班次預計第4季也因旅運的高峰規劃短期的增開展望未來 台灣高鐵即將通車屆20週年我在此特別提出迎接高鐵20年推動高鐵2.0 |
transcript.whisperx[45].start |
2825.962 |
transcript.whisperx[45].end |
2839.66 |
transcript.whisperx[45].text |
作為公司階段性的業務目標希望透過高鐵2.0的推動跟落實帶給旅客嶄新的高鐵的體驗如同高鐵通車之初大家的經驗跟感動而高鐵2.0將連結高鐵公司具體的發展策略及業務計畫 |
transcript.whisperx[46].start |
2844.686 |
transcript.whisperx[46].end |
2871.522 |
transcript.whisperx[46].text |
將從六大面向進行擴充跟延伸包括第一引進新世代列車帶動全面服務的升級因應旅運需求的成長我們除了新購列車配合擴建基地廠房外更將針對車站和既有列車的設施跟設備進行升級改善因應高齡化社會的變遷跟旅客對服務有更多的期待目前已經設計規劃的軟硬體改善工程包括增設 |
transcript.whisperx[47].start |
2873.334 |
transcript.whisperx[47].end |
2894.482 |
transcript.whisperx[47].text |
車站月台門車站電梯的更生車站廁所554改善以及車站各公共公車月台的調整等等也因此針對個別車站的特殊設計如新竹站月台加裝遮雨等等至於在列車上的改善近期將陸續完成列車洗手間改善及列車旅客資訊系統的汰換等等 |
transcript.whisperx[48].start |
2896.463 |
transcript.whisperx[48].end |
2919.233 |
transcript.whisperx[48].text |
第二因應極端氣候強化高鐵的韌性氣候變春的衝擊已經日益加劇而運輸業可謂首當其衝因此臺灣高鐵將持續加強邊坡隧道橋樑等基礎設施的韌性透過建立預警機制確保營運的安全讓旅客安心乘車第三加速數位轉型打造智慧高鐵 |
transcript.whisperx[49].start |
2920.313 |
transcript.whisperx[49].end |
2938.736 |
transcript.whisperx[49].text |
台灣高鐵希望透過實現智慧運輸為旅客打造更多元更便利的乘車體驗我們將要建置新世代的定位票務服務系統同時推動各種票證優惠券朝向無紙化的目標前進不只方便旅客同時用手機即可購買使用更落實節能減碳 |
transcript.whisperx[50].start |
2940.057 |
transcript.whisperx[50].end |
2956.372 |
transcript.whisperx[50].text |
未來還會整合台灣高鐵交通行動服務平臺透過整合多特多的旅程資訊服務方便旅客行程規劃從中掌握旅客的需求並希望這個平臺能夠跟行銷會進一步結合第四 攜手本土廠商 |
transcript.whisperx[51].start |
2957.293 |
transcript.whisperx[51].end |
2976.093 |
transcript.whisperx[51].text |
提升產業的實力過去台灣高鐵在軌道工程本土化方面已經取得相當的成果未來也將持續與在地廠商合作進行技術跟設備開發同時透過與政府研究案及大專業銷的合作積極導入在地採購的策略例如我們目前進行中的 |
transcript.whisperx[52].start |
2977.995 |
transcript.whisperx[52].end |
3004.475 |
transcript.whisperx[52].text |
電車線維修工程車等以及變電站控制系統汰換等等這都是本土化的案例第五 落實環境有序 優化職場環境因應國際對氣候變遷的關注並回應政府2050年近臨的承諾臺灣高鐵已經完成溫室氣體排放的盤查外在車上服務品也大幅減少一次性的塑膠用品落實綠色採購 汰換耗能設施等等落實環境有序的目標 |
transcript.whisperx[53].start |
3005.356 |
transcript.whisperx[53].end |
3023.927 |
transcript.whisperx[53].text |
同時也持續優化空間及設施職場環境永續關懷的觸角從旅客延伸到員工第六 連結地方共生共創旅運商機高鐵率聯臺灣西部走廊超過九成的人口因此我們也將把旅遊產品積極結合地方特色活動 |
transcript.whisperx[54].start |
3024.707 |
transcript.whisperx[54].end |
3038.796 |
transcript.whisperx[54].text |
推出結合各地特色的旅遊專案鼓勵旅客真實接觸臺灣之美更帶動地方產業的發展同時各車站設置高鐵市集或在地物產館建議推廣在地生產商品促進地方經濟的成長 |
transcript.whisperx[55].start |
3040.137 |
transcript.whisperx[55].end |
3065.316 |
transcript.whisperx[55].text |
以上就是迎接高鐵20年推動高鐵2.0的一些業務方向非常感謝各位委員的聆聽也敬請各位委員不吝指教委員寶貴意見將幫助我們充實高鐵2.0的內涵讓它更貼近民眾與旅客的期待非常謝謝大家 謝謝好 謝謝我們台鐵高鐵公司的石董事長的報告 |
transcript.whisperx[56].start |
3066.647 |
transcript.whisperx[56].end |
3085.819 |
transcript.whisperx[56].text |
好 現在我們接下來進行詢答先告以下的事項一 詢答時間出席委員6分鐘 內席委員4分鐘委員花言登記在10點30分截止 |
transcript.whisperx[57].start |
3086.71 |
transcript.whisperx[57].end |
3105.026 |
transcript.whisperx[57].text |
各委員如果有臨時提案請在10點鐘以前提出以便議事人員會診暫定10點30分休息10分鐘現在請登記第一號的李昆哲委員執行 |
transcript.whisperx[58].start |
3116.098 |
transcript.whisperx[58].end |
3131.938 |
transcript.whisperx[58].text |
謝謝召委 請一下陳士凱部長好 陳部長鄭光源董事長好 鄭董事長史澤董事長 楊振軍局長好 那楊局長還有史澤董事長部長好委員好 |
transcript.whisperx[59].start |
3133.186 |
transcript.whisperx[59].end |
3144.064 |
transcript.whisperx[59].text |
高鐵跟台鐵是我們國人重要的交通載具高鐵到今年5月每天搭乘的人次已經高達22萬人次 |
transcript.whisperx[60].start |
3146.291 |
transcript.whisperx[60].end |
3166.903 |
transcript.whisperx[60].text |
台鐵每天搭車的人次也高達68萬人次所以是重要的交通工具不管是台鐵或是高鐵不管是它的營運安全或是它的服務的效率以及它的永續的經營都是重要的一個議題 |
transcript.whisperx[61].start |
3169.364 |
transcript.whisperx[61].end |
3180.878 |
transcript.whisperx[61].text |
高鐵董事長跟台鐵董事長的就任國人是非常的嚴肅看待這樣的一個位置那尤其是高鐵的董事長 |
transcript.whisperx[62].start |
3182.264 |
transcript.whisperx[62].end |
3200.303 |
transcript.whisperx[62].text |
在過去 我看高鐵的董事長 也有那種不是軌道背景出身的人來擔任董事長像劉威祺董事長 他是學者 以前中山大學的校長 他是企業管理的一個背景 |
transcript.whisperx[63].start |
3201.104 |
transcript.whisperx[63].end |
3216.566 |
transcript.whisperx[63].text |
另外有一位范志強董事長他是軍人出身他的專長是財務金融但他們的任期都不長都大概一年左右當然高鐵董事長這樣一個重要的位置 |
transcript.whisperx[64].start |
3217.307 |
transcript.whisperx[64].end |
3232.186 |
transcript.whisperx[64].text |
不能只是一個高級的實習生這樣的角度啊來看待因為每天有22萬人次啊他關係到安全關係到員工的這種營運的人力也關係到服務的品質關係到永續經營那 |
transcript.whisperx[65].start |
3234.534 |
transcript.whisperx[65].end |
3253.781 |
transcript.whisperx[65].text |
關於史喆的這樣的一個任命也許有些人認為說他沒有軌道交通的經驗其實看看他過去的背景他在擔任高雄市副市長的時候臨港縣的輕軌以及大順路路段的輕軌啊 |
transcript.whisperx[66].start |
3255.208 |
transcript.whisperx[66].end |
3269.529 |
transcript.whisperx[66].text |
史喆是出立最重要的一個人尤其是在美術館區那一帶相關路線跟當地居民的協調而且啊最有名的龍貓隧道就是史喆所規劃的 |
transcript.whisperx[67].start |
3272.404 |
transcript.whisperx[67].end |
3297.17 |
transcript.whisperx[67].text |
輕軌當初大家認為說沒有人搭現在班次要增加而且也要買新車它是高雄現在很重要的一個交通工具那在鐵路地下化相關綠園道的建設也是受到全國民眾的肯定那在相關的綠園道在左營那一段大家下高鐵可以看到綠園道那一段也是使者所規劃的 |
transcript.whisperx[68].start |
3298.51 |
transcript.whisperx[68].end |
3322.449 |
transcript.whisperx[68].text |
像高雄市的黃線捷運現在在動工以及現在在規劃當中的紫線捷運使者也是重要的推手那更別說亞洲新灣區相關的博鰲倉庫群 鐵道文化園區都有使者努力的這樣的一個身影我想他適不適任 社會自有公平 |
transcript.whisperx[69].start |
3323.449 |
transcript.whisperx[69].end |
3343.326 |
transcript.whisperx[69].text |
我們還是要來探討一下高鐵目前所面臨的幾個問題第一個剛才部長我也提到說高鐵的搭乘人次在疫情之前大概是18萬人次在現在到2025年到5月為止每天的搭乘人次已經是高達22萬增加了20%高鐵的職員的總數 |
transcript.whisperx[70].start |
3351.383 |
transcript.whisperx[70].end |
3364.888 |
transcript.whisperx[70].text |
也增加了15.8比不上這樣的一個搭乘的人次所以人力的不足也是一個嚴肅的問題每週的班次在2019年的時候是 |
transcript.whisperx[71].start |
3367.561 |
transcript.whisperx[71].end |
3387.868 |
transcript.whisperx[71].text |
1016班次到2025也增加到1128的班次班次也增加了10%班次增加人次也增加所以高鐵董事長是一個重要的職務那我們現在高鐵的運量其實到今年2月都已經碰到瓶頸了 |
transcript.whisperx[72].start |
3389.195 |
transcript.whisperx[72].end |
3412.799 |
transcript.whisperx[72].text |
因為我們現在在高峰期間在假日期間是一票難求如果有假日連假你沒有一個禮拜之前去訂高鐵票已經是訂不到位置我也常常是用站的站回高雄我要請教我們高鐵如何去因應未來這種運量持續的增加以及面對這種瓶頸我們相關 |
transcript.whisperx[73].start |
3416.178 |
transcript.whisperx[73].end |
3441.252 |
transcript.whisperx[73].text |
要買新車的這些進度跟規劃內容我請教一下史哲董事長你了不了解啊好 謝謝委員我想委員非常的專業內行我可能就要想得非常的小心高鐵終究還是要透過新車的導入來解決這個運量的問題新車的進度我想明年第四季啊是這個到港來台 |
transcript.whisperx[74].start |
3441.972 |
transcript.whisperx[74].end |
3468.88 |
transcript.whisperx[74].text |
下半年度就會到了那後年也就是高鐵的20週年了與其是第三季即將上路那當然這段時間還有非常多的後續的工程以及這個搭配的新系統的狀況目前是有34組的列車要買12組新的列車新的列車跟目前的列車有什麼不同嗎我在之前有提醒交通部跟高鐵商務艙有插座 |
transcript.whisperx[75].start |
3470.014 |
transcript.whisperx[75].end |
3490.152 |
transcript.whisperx[75].text |
那相關的經濟艙這一次新車在過去有要求現在的新車經濟艙有沒有安裝這些插座的友善設施呢是的我想新車基本上這個舒適度寧靜度方面都有大幅的提升委員特別關心的插座的部分全車都會有插座好 |
transcript.whisperx[76].start |
3491.013 |
transcript.whisperx[76].end |
3507.641 |
transcript.whisperx[76].text |
它相關的檢證的設施以及通道的相關的檢噪音的這樣的一個設施在這次都要確實的查驗那相關的我要針對人力的部分我剛才提到說我們的班次增加10% |
transcript.whisperx[77].start |
3509.69 |
transcript.whisperx[77].end |
3525.68 |
transcript.whisperx[77].text |
旅客的人次增加20%我們的人力增加夠嗎 我們的人力大概增加15.8%那接下來我們還要面對新車的測試以及運量越來越高的時候我們的人力 |
transcript.whisperx[78].start |
3526.895 |
transcript.whisperx[78].end |
3551.921 |
transcript.whisperx[78].text |
夠不夠如何來維持這種營運的人力安全的人力來董事長說明一下是 謝謝委員我想人力的增加我想都在計畫當中來進行這個我們實際對於運量的評估但是更重要的是人力的訓練以及因應新車的這個接應我們事實上已經有一組人在日本受訓了那新車也特別跟委員說明它雖然是這個日本這個N700S的這個基礎 |
transcript.whisperx[79].start |
3555.302 |
transcript.whisperx[79].end |
3569.571 |
transcript.whisperx[79].text |
但是事實上還有為台灣特別多的量身打造那事實上在系統上我們行控中心以及這個檢修各方面來講都在因應的調整所以這部分這其實是一個蠻浩大的工程那這也是未來這兩年高鐵最大的挑戰 |
transcript.whisperx[80].start |
3570.697 |
transcript.whisperx[80].end |
3598.566 |
transcript.whisperx[80].text |
好 董事長在高鐵是2007通車那2007通車到現在也將近18年了但是我們看到經過這麼多年高鐵的維修還有它車輛的狀況其實都面臨很大的挑戰我們看到各類的異常事件還有一般事故的統計2021年到今年的5月為止 |
transcript.whisperx[81].start |
3600.227 |
transcript.whisperx[81].end |
3618.085 |
transcript.whisperx[81].text |
這種各類的異常事件還有一般事故總共有121件是幸好是沒有發生重大的事故啊如果發生重大的事故我想部長跟董事長都是擔待不起啊那我們看到行車異常的事件 |
transcript.whisperx[82].start |
3620.548 |
transcript.whisperx[82].end |
3636.746 |
transcript.whisperx[82].text |
運轉保安裝置的故障有44件車輛的故障也高達15件外屋的入侵也有12件那我們維修的養護部門的人力只增加了13.5%人力夠嗎要不要增加 |
transcript.whisperx[83].start |
3637.863 |
transcript.whisperx[83].end |
3650.414 |
transcript.whisperx[83].text |
跟委員報告我想我們必要增加的我們一定會增加我想運安一定是放在第一位我想這個部分除了人力的增加我們新興的這種科技的檢修設備有沒有在做處理跟添購 |
transcript.whisperx[84].start |
3651.323 |
transcript.whisperx[84].end |
3673.095 |
transcript.whisperx[84].text |
不但有添購 事實上我們也配合我們的本土化我們自行在台灣也發展出我們自行的檢修的方式比如說例證之後橋樑的檢測我們最近即將發展出我們用AI無人機的檢測來說短它的時間也增加它的精密度這都是台灣自己本土發展出來的好 謝謝董事長我請教一下曾光炎董事長 |
transcript.whisperx[85].start |
3675.851 |
transcript.whisperx[85].end |
3697.982 |
transcript.whisperx[85].text |
董事長有很豐富的這種軌道的經驗不過我要提醒鄭董事長台鐵公司跟高鐵公司它有不同的內部文化這是你面臨最嚴峻的一個挑戰一個百年老店一個18歲的年輕人那相關的內部文化是不一樣的 |
transcript.whisperx[86].start |
3698.962 |
transcript.whisperx[86].end |
3712.905 |
transcript.whisperx[86].text |
那工會也有跟我反映你現在身段是非常的柔軟我想要積極的跟工會來對話還有指責董事長也是一樣工會的員工都是我們最重要的資產 |
transcript.whisperx[87].start |
3714.537 |
transcript.whisperx[87].end |
3734.73 |
transcript.whisperx[87].text |
我要提醒部長我們高鐵的人力目前明顯的不足工作增加班次旅次都增加的這種狀況人力顯然是跟不上這樣的一個進度那台鐵公司化之後員工我們要加強他的信心也非常辛苦 |
transcript.whisperx[88].start |
3735.43 |
transcript.whisperx[88].end |
3760.521 |
transcript.whisperx[88].text |
我是建議啊高鐵跟台鐵的員工啊都要有調心的這樣的一個處理讓員工啊更有信心剛才鄭董事長說要讓大家能夠開心的上班要開心上班啊除了要有榮譽感當然就是啊要能照顧他們的家庭會不會調心啊部長來簡單說明一下報告委員 |
transcript.whisperx[89].start |
3763.329 |
transcript.whisperx[89].end |
3791.592 |
transcript.whisperx[89].text |
員工一直都是我們最珍貴的資產對公司來說是最珍貴的資產那這個部分在史澤董事長跟鄭董事長上任之後其實我都有要求針對我們所有員工的這個福利我們必須要重新盤點讓我們的員工的待遇更加的好這是必然要做的事那我所知道史澤董事長跟鄭董事長也都跟工會有接觸過也有討論過未來怎麼讓員工的福利更好薪資條件更好讓他的工作環境更好 |
transcript.whisperx[90].start |
3792.032 |
transcript.whisperx[90].end |
3809.983 |
transcript.whisperx[90].text |
這是我們未來要面對的一個很重要的課題我們會朝這個方向來努力好 希望能夠增加台鐵高鐵員工的福利來增加這種營運的安全永續的經營以及擴展他們的市場那我最後要請教一下楊振金局長跟部長 |
transcript.whisperx[91].start |
3811.044 |
transcript.whisperx[91].end |
3829.415 |
transcript.whisperx[91].text |
有關於高雄的鐵路地下化台北的鐵路地下化他是分成四個階段台北車站專案萬板專案松山專案到最後的南港專案經過20多年已經正式的完工高雄的 |
transcript.whisperx[92].start |
3830.601 |
transcript.whisperx[92].end |
3858.448 |
transcript.whisperx[92].text |
鐵路地下化其實一開始只有一段叫做高雄計畫就是古山的保真路到三明區的正義路只有這一段叫高雄計畫那當初在第六屆的時候我們提出的規劃是鳳山到南梓但是後來可惜第七屆的時候民進黨沒有執政就變成了鳳山到左營那現在在 |
transcript.whisperx[93].start |
3860.566 |
transcript.whisperx[93].end |
3879.013 |
transcript.whisperx[93].text |
攔指這一段我們希望能夠鐵路地下化的可行性評估現在也在進行是謝謝交通部給我們可行性評估的經費現在還有另外一段就是鳳山鳳山道大樹的酒區堂這一段我們需要的經費大概是1990萬相關的立體化設施 |
transcript.whisperx[94].start |
3883.54 |
transcript.whisperx[94].end |
3908.348 |
transcript.whisperx[94].text |
這都關係到未來大高雄的整體發展尤其是攔指這一段當然他現在我們後進六七那邊相關的高科技園區再加上史哲董事長在之前跟我們努力推動的指線的規劃都關係到未來高雄的高科技的發展那鳳山這一段也是更重要鳳山現在是高雄市第一大的行政區 |
transcript.whisperx[95].start |
3909.508 |
transcript.whisperx[95].end |
3927.919 |
transcript.whisperx[95].text |
那高雄的第一大行政區鳳山的鐵路地下化或是高架化我們希望交通部能夠給予支持請部長說明一下報告委員這個部分的可行性研究交通部會來支持那目前的公文已經到部裡面了我們會加速這個簽核好 謝謝董事長 謝謝部長謝謝委員 |
transcript.whisperx[96].start |
3930.066 |
transcript.whisperx[96].end |
3952.492 |
transcript.whisperx[96].text |
好 謝謝李崑澤委員的執行現在剛剛已經議事錄已經議事人員宣讀請問議事錄各位委員有沒有意見好 沒有意見的話我們就議事錄確定好 現在進行第二位執行的黃國昌總召執行 |
transcript.whisperx[97].start |
3961.976 |
transcript.whisperx[97].end |
3988.865 |
transcript.whisperx[97].text |
謝謝主席 有請部長台鐵正董事長 高鐵石澤董事長三位好 時間的關係不宜問候 首先請教石澤董事長今天所提出來的順便報告 特別點出來了 |
transcript.whisperx[98].start |
3990.148 |
transcript.whisperx[98].end |
3994.111 |
transcript.whisperx[98].text |
2024年相較到2023年的營收從531.9億然後從2023年的498.1億成長到2024年的531.9億成長幅度約74%上升6.8%啦好那請教一下石油董事長2023年跟2024年就營業費用的部分成長了幾% |
transcript.whisperx[99].start |
4018.34 |
transcript.whisperx[99].end |
4038.751 |
transcript.whisperx[99].text |
也成長了差不多這個超過這個數字大概營業費用的成本大概墊高了50億左右但是這個當中其實是因為我們有一個跟交通部之間的抱歉抱歉我問問題很具體的那個成本跟費用是兩回事你知道吧你有沒有看過財報是有這個是基本的財塊吧剛剛我講的是營業費用 |
transcript.whisperx[100].start |
4045.116 |
transcript.whisperx[100].end |
4055.399 |
transcript.whisperx[100].text |
營業費用成長了幾%你知不知道營業費用大概成長了大概在5%之內錯營業費用2023年166億2024年186億成長12%營收6.8%營業費用成長了12%理由是什麼我想我們相關的攤提跟人事費用都有在增加 |
transcript.whisperx[101].start |
4073.635 |
transcript.whisperx[101].end |
4097.703 |
transcript.whisperx[101].text |
我這樣具體的講啊外界對你上任事實上你有沒有交通專業有人幫你緩價你有沒有經營專業現在考驗正在開始對自己的業務要守對自己的業務要守當然是2024年跟2023年最後稅前的經歷相差多少 |
transcript.whisperx[102].start |
4099.516 |
transcript.whisperx[102].end |
4113.027 |
transcript.whisperx[102].text |
到2024年大概稅前淨利已經降到70億下大概68億左右有稍微減少的時機稅前淨利稅前的話當然我剛講的是稅後那稅前的話大概是這個這個是從78億降到64.5億稅前淨利 |
transcript.whisperx[103].start |
4118.524 |
transcript.whisperx[103].end |
4122.506 |
transcript.whisperx[103].text |
稅前淨利2023年97億對這是稅前我剛剛講2024年80億為什麼2024年營收增加稅前淨利反而降低我剛剛特別講了就是說關於營業的成本以及這個相關攤體的費用 |
transcript.whisperx[104].start |
4135.779 |
transcript.whisperx[104].end |
4150.348 |
transcript.whisperx[104].text |
就最後啦業務內的收入事實上是增加的問題出在業務外的收入跟支出你可能回去再把高鐵的財務狀況好好看清楚今天只是測試ABC啦 |
transcript.whisperx[105].start |
4151.328 |
transcript.whisperx[105].end |
4166.356 |
transcript.whisperx[105].text |
我必須要說今天的測試顯然你對於高鐵的業務要掌握還有很長一段路要走我今天所講的數字所有的公民都可以上高鐵的財報去check看我講的對不對好來請台鐵董事長 |
transcript.whisperx[106].start |
4171.215 |
transcript.whisperx[106].end |
4196.327 |
transcript.whisperx[106].text |
委員好 董事長好 辛苦喔從高鐵董事長變台鐵董事長 責任更重做大事不是做大官 你這樣的精神我非常佩服今天我代讀你的報告 上面寫說你要貫徹當責文化我看了這四個字 我非常非常的欣賞為什麼我說 企業文化本來就要成敗有責 |
transcript.whisperx[107].start |
4198.048 |
transcript.whisperx[107].end |
4217.949 |
transcript.whisperx[107].text |
誰搞的爛攤子 誰負責嘛做的好的 就要獎勵嘛董事長 贊不贊成就是這樣就是這樣嘛 好來 我帶董事長看你接下來收拾哪些爛攤子台鐵 三千型志強號新的車子啊不曉得哪裡去設計這個爛椅子啊都新的椅子喔 |
transcript.whisperx[108].start |
4222.315 |
transcript.whisperx[108].end |
4238.126 |
transcript.whisperx[108].text |
在他旁邊的陳士凱部長也承認這個椅子爛到爆確實要改進改進這個椅子花一億八千四百五十萬來董事長請教依照你當責文化的精神這件事情誰要負責 |
transcript.whisperx[109].start |
4239.656 |
transcript.whisperx[109].end |
4263.655 |
transcript.whisperx[109].text |
我想這個我們當然這個我們看當時我們發報的這個情況那看那廠商交給我們的那是不是按照我們當時廠商交給我們的就是按照我們當初設計的是所以那個問題來了這個爛椅子當初是誰併的按照您所講的當者文化的精神這件事要不要究責 |
transcript.whisperx[110].start |
4265.151 |
transcript.whisperx[110].end |
4293.359 |
transcript.whisperx[110].text |
我們再繼續來瞭解一下需要多久你剛上任我給你多一點的時間兩個月之內去瞭解發生了什麼事誰應該負責任一億八千四百五十萬誰要負責可以嗎 兩個月夠不夠好 謝謝董事今天第一次第一次我都是很溫暖的我幫你把問題都整理出來讓董事長可以回去掌握狀況第二件事情 |
transcript.whisperx[111].start |
4294.829 |
transcript.whisperx[111].end |
4302.823 |
transcript.whisperx[111].text |
當哲文化為什麼重要台鐵過去所出現的狀況就是有不肖的商人跟政客結合 |
transcript.whisperx[112].start |
4304.745 |
transcript.whisperx[112].end |
4324.76 |
transcript.whisperx[112].text |
政客帶著不肖的廠商跑去台鐵沒有專業做業務指導說要做這個要做那個結果呢結果台鐵要搞一個列控4.0列控4.0花了納稅人六千萬一事無成一敗塗地 |
transcript.whisperx[113].start |
4326.101 |
transcript.whisperx[113].end |
4354.289 |
transcript.whisperx[113].text |
一次五成一敗塗地啊我直接問運安會啊這個列控4.0到底能用不能用啊運安會主委在交通委員會很誠實的打槍啊這根本不能用啊根本不能用那問題來啦當初大官帶著不孝廠商去台鐵直接強加在台鐵身上搞這個列控4.0來 董事長你認為還要再繼續搞下去嗎 |
transcript.whisperx[114].start |
4355.27 |
transcript.whisperx[114].end |
4378.776 |
transcript.whisperx[114].text |
跟委員報告這個事情我們會持續在我們公司內部的安全委員會檢討需要多久兩個月好不好兩個月可以好可以一樣這件事情我給你兩個月錯了就認錯不要為了掩飾過去的錯誤還要再砸更多的錢投一個不肖廠商造成台灣多少傷害 |
transcript.whisperx[115].start |
4379.816 |
transcript.whisperx[115].end |
4408.883 |
transcript.whisperx[115].text |
不是只有台鐵是受害人啊台南搞那個自駕系統爛到爆一樣不能用丟了好幾千萬下去你石頭丟到水裡還有一身啊那個是幾千萬砸下去什麼都沒有同一個劣質廠商連我們淘機都得標現在搞到都解約啦部長站在旁邊啦應該很清楚我在說什麼講了好幾次啦台鐵當著文化 |
transcript.whisperx[116].start |
4410.987 |
transcript.whisperx[116].end |
4426.712 |
transcript.whisperx[116].text |
成敗要有責第三個矽科站矽科站很長矽科站中站出口工程之前發包我把整個歷程調出來 這個可能是部長要回答的問題 |
transcript.whisperx[117].start |
4429.122 |
transcript.whisperx[117].end |
4450.482 |
transcript.whisperx[117].text |
結果本來預定2025年5月要竣工現在是2025年的6月原定2025年5月要竣工現在2025年6月部長知不知道工程進度多少工程進度非常緩慢因為當時的廠商他做不了所以解約那解約該罰款我們也有罰款非常好 這個就是我要提醒的事情 |
transcript.whisperx[118].start |
4451.443 |
transcript.whisperx[118].end |
4471.508 |
transcript.whisperx[118].text |
本來矽科站很長嘛有去過矽子然後在矽子那邊矽科站上下的居民大家感受都很深嘛那好不容易有這個經費做這個事情本來現在要竣工了搞到現在進度只有1.8%不是18%是1.8%看了這個歷程我就覺得很奇怪 |
transcript.whisperx[119].start |
4472.864 |
transcript.whisperx[119].end |
4487.753 |
transcript.whisperx[119].text |
我們的鐵道局開工凍土典禮是2023年12月8號開工凍土典禮當然就是政商名流大家拍照結果搞到後來是什麼結果搞到後來是那個廠商說我自己能力不足 |
transcript.whisperx[120].start |
4488.857 |
transcript.whisperx[120].end |
4514.95 |
transcript.whisperx[120].text |
我能力不足我第一次看到一個廠商講話這麼直白我能力不足我沒有辦法做他能力不足沒有辦法做當初是怎麼給他得標的這個事情有回去瞭解嗎這個當初到底怎麼搞的太離譜了啊這個廠商自我坦白我能力不足我做不下去了當初怎麼給他得標的這個事情哲烈要不要追究部長這個我們會去瞭解需要多久 |
transcript.whisperx[121].start |
4517.504 |
transcript.whisperx[121].end |
4529.338 |
transcript.whisperx[121].text |
你不是新手啦所以給你一個月了解責任一個月沒有問題可以嗎可以啊沒有問題再來台鐵遮斷器這我質詢過非常多次從去年到現在 |
transcript.whisperx[122].start |
4530.766 |
transcript.whisperx[122].end |
4549.894 |
transcript.whisperx[122].text |
從花東到彰化影響到非常多人的交通安全故障的次數高到嚇死人200多次來我們來review一下從我去年開始關心這件事情到現在你知道從去年到現在多裝了幾套遮斷器嗎跟委員報告這個案子到目前我們到4月點已經完成安裝了300 |
transcript.whisperx[123].start |
4562.572 |
transcript.whisperx[123].end |
4578.345 |
transcript.whisperx[123].text |
406套是是是這個我知道這個數字那個董事長你看PPT那個你前面有螢幕我有可能整理的比你還完整你直接看我的PPT就好了上面的數字不會錯了解一下去年9月喔 |
transcript.whisperx[124].start |
4579.619 |
transcript.whisperx[124].end |
4597.123 |
transcript.whisperx[124].text |
到現在他已經遲延非常久了遲延非常久是累積的問題那我關心的是我從去年9月到現在裝了幾套多裝了14套從396套到406套然後目前為止裝設進度只有到29%下一個問題我有這個事情牽涉到行人的交通安全 |
transcript.whisperx[125].start |
4607.952 |
transcript.whisperx[125].end |
4636.422 |
transcript.whisperx[125].text |
我們國家花大錢砸了好幾億下去搞這個東西結果一樣我們的招標系統很奇怪專門都找到那種沒有能力的專業性不夠的劣質廠商交通部送來交通委員會的解凍報告部長你應該還記得你說解凍報告說這個遮斷器的電源改善系統什麼時候要完成改善是11月要完成嗎 |
transcript.whisperx[126].start |
4637.759 |
transcript.whisperx[126].end |
4657.646 |
transcript.whisperx[126].text |
我應該沒寫錯嘛你知道現在11月可以完成嗎這個部分可以完成可以確定可以來來來來來交通部電源改善工程採購履約期間要到2026年10月27號所以是這個公告有問題嗎 |
transcript.whisperx[127].start |
4659.161 |
transcript.whisperx[127].end |
4671.405 |
transcript.whisperx[127].text |
我看到這個採購的公告履約的期間我嚇一跳交通部送給交通委員的報告是今年11月要完成啊這個履約期間是到2026年11月27號這怎麼回事這是什麼不對勁差一檔耶委員請總經理來跟您報告好嗎可以 |
transcript.whisperx[128].start |
4681.212 |
transcript.whisperx[128].end |
4707.66 |
transcript.whisperx[128].text |
報告委員 那委員關切的事項主要是因為我們老舊電源要改善是 我了解CMT案跟另外額外還有發包兩個案在進行是 所以呢 到底什麼時候要完成11月是我們CMT原來就已經在進行的部分會完成那我們新發包的要到明年的對嘛 這個時間你們送給國會的報告不要在那邊遮遮掩掩 |
transcript.whisperx[129].start |
4709.517 |
transcript.whisperx[129].end |
4734.398 |
transcript.whisperx[129].text |
你隨便送給交通委員會一個唬爛的解凍報告告訴交通委員會的委員11月會完成時間會到歷史會檢驗嘛我光看你們這個公告今年11月就不會完成啊報告委員這是兩個案子啊是這上面寫的是第一個案子第一個案子我們在11月會完成這個沒有問題那這個案子會比較後面對嘛但我現在的重點是什麼 |
transcript.whisperx[130].start |
4735.441 |
transcript.whisperx[130].end |
4758.19 |
transcript.whisperx[130].text |
我現在的重點是這個丟了好幾億下去的公司的工程早就該完成了嘛我們現在處於delay的狀態我為什麼會關心他什麼時候該完成鐵路停交道耶這牽涉到每一個行人的生命耶這不是開玩笑的事耶我為什麼會定這個事 |
transcript.whisperx[131].start |
4759.827 |
transcript.whisperx[131].end |
4779.154 |
transcript.whisperx[131].text |
如果現在的系統是安全的 那我們根本就不用花錢去搞這件事啊就是不安全才要花錢去搞嘛不安全花錢去搞 錢砸下去了 到目前為止呢到目前為止不斷的延宕你們都不會擔心喔還是我一個人在起人憂天你們都不會擔心喔報告委員 這個在改善當中在進行當中 |
transcript.whisperx[132].start |
4789.349 |
transcript.whisperx[132].end |
4808.812 |
transcript.whisperx[132].text |
最後一個問題這個案子我一直追我覺得莫名其妙這個廠商敢包這個標到的遮斷器他有能力做嗎怎麼會得標了以後在那邊怪東怪西我的產品有問題是因為電源什麼電源有問題 |
transcript.whisperx[133].start |
4810.1 |
transcript.whisperx[133].end |
4833.707 |
transcript.whisperx[133].text |
然後要我們國家再幫這個廠商出一大筆錢再去改善這個電源供應系統整件事情啊讓我覺得莫名其妙但是當我發現莫名其妙的時候我一定會開始追我開始追我就發現了說有關於新版遮斷器的動作電流 |
transcript.whisperx[134].start |
4835.285 |
transcript.whisperx[134].end |
4855.559 |
transcript.whisperx[134].text |
他說呢本來2020年9月核定的遮斷器規範當中裡面是有要求的但是呢後來經廠商反應後檢討在同年12月也就是2020年12月修訂進版的時候取消 |
transcript.whisperx[135].start |
4856.816 |
transcript.whisperx[135].end |
4881.231 |
transcript.whisperx[135].text |
電流限制取消電流限制是什麼就是讓這個廠商本來沒這個能力的沒有辦法來投變成有辦法來投這個是幫這個沒有能力的廠商量身打造再改標案規格嗎來請教部長是委員長部長他這個取消的過程是要不要請總經理他比較了解整個好可以來請總經理 |
transcript.whisperx[136].start |
4882.728 |
transcript.whisperx[136].end |
4908.753 |
transcript.whisperx[136].text |
包委員 這個我們內部也有進行調查然後呢 調查結果咧對 我們現在目前是主要是在我們這段期在公約的過程中廠商有反映說這個電源限制的部分因應現在目前功能提升可以做取消不過在後面廠商提出來的一個產品它還是符合我們規範裡面的一個安培數的這個限制 |
transcript.whisperx[137].start |
4909.133 |
transcript.whisperx[137].end |
4933.325 |
transcript.whisperx[137].text |
那現在這個案如果符合規範的話我們還要幫他砸錢幫廠商改善電流供應報委員主要是因為現在目前是我們的電源老舊他不穩定所以我們需要去做改善讓這個遮斷機運作能夠正常更穩定所以呢我們的電源老舊是現在才發現還是當初他投票就知道我們在過程中發現這樣的一個課題 |
transcript.whisperx[138].start |
4935.666 |
transcript.whisperx[138].end |
4962.74 |
transcript.whisperx[138].text |
我這樣子講好了啦剛剛你說你們這件事情有進行內部調查嗎有調查報告嗎我們也已經有初步的這個調查報告可以送來嗎可以啊今天下班以前把調查報告送來這件事情我一定追到底啊改標案規格讓他進來投得標了以後再抱怨電流系統有問題政府再幫他出錢改我們的政府很有錢啊 |
transcript.whisperx[139].start |
4964.994 |
transcript.whisperx[139].end |
4991.64 |
transcript.whisperx[139].text |
對這種無能不孝的廠商啊特別的溫柔啊反正花的又不是自己的錢全部花納稅的錢可以這樣搞喔今天下班以前把報告送來可以嗎可以 幫委員我們先前也有把我們調查的資料有提供給委員參考好沒有關係下班以前調查報告送來好好謝謝黃國昌總召的執行現在請黃建豪委員執行 |
transcript.whisperx[140].start |
5001.428 |
transcript.whisperx[140].end |
5008.441 |
transcript.whisperx[140].text |
好謝謝主席主席我們請部長以及請高雷公司石董事長好那個陳部長石董事長 |
transcript.whisperx[141].start |
5017.847 |
transcript.whisperx[141].end |
5045.552 |
transcript.whisperx[141].text |
好來部長好董事長好我想社會各界都非常關注我們這一次這個高鐵董事長新的人事任命案當然我們從過去的一些履歷上看出來他包含說之前媒體上討論過非常多次大家一致上的這個判斷都認為說我們現任這位施董事長可能比較缺乏過去可能看起來沒有交通相關的這個專業那當然了這個大家批評過了但是我們在展望未來我想問一下我們施董事長對於 |
transcript.whisperx[142].start |
5047.132 |
transcript.whisperx[142].end |
5061.517 |
transcript.whisperx[142].text |
這個既然已經接任了高鐵董事長過去幾任的董事長當然都有相關的可能是在這個交通營運上的一些專業那我不知道施董事長你來接任董事長之後我想上一段時間到目前為止接任到現在未來高鐵對你來講你要 |
transcript.whisperx[143].start |
5063.237 |
transcript.whisperx[143].end |
5077.857 |
transcript.whisperx[143].text |
負責什麼樣的業務你要把高鐵公司帶往什麼樣的方向可以請市董事長簡單說明一下好 謝謝委員我剛剛特別在報告裡面有特別說明今年是高鐵開通的第18年明年新車到港是第19年新車加入是第20年 |
transcript.whisperx[144].start |
5078.678 |
transcript.whisperx[144].end |
5102.465 |
transcript.whisperx[144].text |
一個營運20年的高鐵公司我們希望在20年的狀況底下在新車加入的狀況底下能夠在服務上在營運上在運安上都能夠再創新的標準所以我特別提出叫做高鐵2.0那新車的導入除了新車進入之外後續整整維修行動安全等等其實是成龍配套所以因此現在整體這個任務是很清楚的 |
transcript.whisperx[145].start |
5102.845 |
transcript.whisperx[145].end |
5129.33 |
transcript.whisperx[145].text |
這個任務在兩年之後就要實現也必須要被檢驗簡單講這個考題大家都可以看得到它的成果如何好 董事長謝謝我想回答非常明確那當然第一個營運的部分過去董事長留下來的這個這董事長留下來的資歷是說目前高鐵營運到去年底為止到今年為止發出年終等等創了新鋼500多億那在營運增加的部分請問是董事長你在現行的狀態之下在車子到任之前到現在新車 |
transcript.whisperx[146].start |
5130.35 |
transcript.whisperx[146].end |
5155.531 |
transcript.whisperx[146].text |
要在兩年後才有完全的上線之前這兩年期間假設你一直擔任董事長那這兩年期間我們要怎麼樣第一個要怎麼樣維持營運第二個有沒有可能再讓營運再創高董事長是 特別有關在報告裡面有說明從趨勢圖看起來疫後大爆發事實上目前是趨緩的狀況因此高鐵作為公司每年對於運量其實都有預估到目前為止一至五月我們的成長是比去年增加3.4% |
transcript.whisperx[147].start |
5156.952 |
transcript.whisperx[147].end |
5181.983 |
transcript.whisperx[147].text |
那這個部分跟之前所增加的6%到7%事實上是趨緩但是也符合我們的目標值那歸來兩年在新車進來之前確實也要跟國人同胞拜託這是一個大家需要共體時間的過程我們7月1號開始也增班了25班次針對暑假那未來我們還會在短期增班確實我們這段時間呢我們需要各種調度的方法來因應我們旅客的需求 |
transcript.whisperx[148].start |
5182.705 |
transcript.whisperx[148].end |
5209.195 |
transcript.whisperx[148].text |
董事長我跟你分享一下啦我想過去這個鄭董事長也提過相關的數據喔週六週末當然我們的運量非常高幾乎去全滿八九成左右但是要提升運量要提升我們整個營收可能靠週間啦我們週間注意到週四基本上你的運量大概六成五成多六成所以五成多六成的中間這個東西如果運量能夠提升我想營收也有機會來提升了好不好是不是能夠讓週間的運量看看怎麼樣 |
transcript.whisperx[149].start |
5209.995 |
transcript.whisperx[149].end |
5225.185 |
transcript.whisperx[149].text |
因為這個我們部長被你背書了說你有這個相關的可能有行銷有其他地方政府的經驗跟專業那怎麼樣能夠讓週間的運量提升讓高鐵的營收增加我想會不會是未來你可以努力的方向是 謝謝委員 委員講的沒有錯確實一個軍話是現在目前解決這個 |
transcript.whisperx[150].start |
5229.207 |
transcript.whisperx[150].end |
5244.789 |
transcript.whisperx[150].text |
人滿為患一個問題所以在高鐵裡面我們的名詞叫做移風填谷就是把高峰的要能夠移到谷底的那這個部分當然採取非常多的這個票價的策略等等來這個移動那目前事實上但是的 |
transcript.whisperx[151].start |
5245.47 |
transcript.whisperx[151].end |
5270.584 |
transcript.whisperx[151].text |
五六日的需求畢竟還是一個剛性的需求這個我們要承認那事實上目前我們的旅客也非常的體諒他也知道這個在尖峰時刻的熱門時段也是一票難求事實上在五六日本身全日本身也有均化的現象那我在這裡還是特別感謝大家的幫忙體諒我們在未來兩年希望大家共體時間我們希望我們把新車上路的工作做好 |
transcript.whisperx[152].start |
5271.064 |
transcript.whisperx[152].end |
5299.994 |
transcript.whisperx[152].text |
好董事長最後一題針對你的部分針對最後一題喔當然高鐵你對對你來講啦高鐵公司這件事情除營運之外對民眾來講大家最在意的你覺得會什麼什麼樣的點是最在意的你認為這個民眾第一個當然是在乎的是安全好那我想這件事情也是高鐵放在整個公司理念當中的永遠的第一位我想高鐵事實上從每天早上5點鐘開始到晚上12點05分收班啦事實上收班之後大家休息的但是高鐵的 |
transcript.whisperx[153].start |
5300.894 |
transcript.whisperx[153].end |
5320.58 |
transcript.whisperx[153].text |
工作才正開始為什麼我們的後續的維修檢測一路進行巡軌所以我們其實不是每天運作我們是每秒都在運作那我們感謝高協所有的員工那運安一定是放在第一位第二個我想搭乘的舒適性跟便利性準點這個是旅客對我們 |
transcript.whisperx[154].start |
5321.78 |
transcript.whisperx[154].end |
5344.451 |
transcript.whisperx[154].text |
絕對的要求那我想我們現在從各方面的調查裡面也看得出來接下來其實大家都會希望我們的安靜度各方面來講都能夠提升那這個也是新車的一個特色謝謝好董事長謝謝我想你的這個運安我想大家我確實也想講運安的事情那當然後續前面的前任班打下非常好的基礎那現在既然接任了我們就期待說後續在運安上 |
transcript.whisperx[155].start |
5345.391 |
transcript.whisperx[155].end |
5362.568 |
transcript.whisperx[155].text |
還有營運上面營運當然是重點之一但是運安我想對國人來講是更重要的事情那運安我們期待說您接任之後能夠繼續維持過去的高標準的狀態那不要這個是你應該是你的責任了好不好是 這一定的 謝謝好 董事長請回那我們接下來我們就請這個台鐵鎮董事長台鐵鎮董事長 |
transcript.whisperx[156].start |
5367.588 |
transcript.whisperx[156].end |
5386.073 |
transcript.whisperx[156].text |
好那個特別跟部長跟兩位董事長提醒一下各位所有幫忙董事長回答的所有被請人員一定要尊重主席不要把他當成這裡是菜市場 |
transcript.whisperx[157].start |
5387.383 |
transcript.whisperx[157].end |
5413.077 |
transcript.whisperx[157].text |
好 這個尊重主席 尊重主席臺 這是最基本的要素希望兩位董事長跟部長要約束手鼠這是對立法院一個尊重不要要上來就上來 要下去就要下去這基本上是不好的那另外我還是要跟鄭董事長跟總經理提醒答應黃國昌的下班以前一定要提 |
transcript.whisperx[158].start |
5413.737 |
transcript.whisperx[158].end |
5442.642 |
transcript.whisperx[158].text |
好 一定要提供我們的報告那個之前應該有提過了其實已經有提過了 可能黃衛原忘記了好 現在請好 謝謝 謝謝這個主席的這個提醒那接下來我們請教教鄭董事長鄭董事長當然喔過去您在高鐵公司任內的確幫這個高鐵創了這個營收的薪高啦那現在您來到台鐵公司啊那當然第一個我們還是期待台鐵能夠在你的帶領之下能夠成功的體上的轉型它現在正式成為公司了嘛 |
transcript.whisperx[159].start |
5443.402 |
transcript.whisperx[159].end |
5471.467 |
transcript.whisperx[159].text |
那我們來提到一下票價的問題我想兩天前票價正式的調漲那我們看一下這個票價當然這個票價不會是董事長您定案的這是你現在接手要處理的部分可以看到我們這個區間車短程的部分它調漲的金額看起來不高但是比例上的漲幅比如說以台中為例台中到豐原 台中到新日就是台中到台中升降到高鐵的部分台中到新日然後還有通行量最大台中彰化跟台中新竹 |
transcript.whisperx[160].start |
5472.307 |
transcript.whisperx[160].end |
5496.217 |
transcript.whisperx[160].text |
它的這個漲幅大概都會最高來到48%那距離到42%短程的等於相對來講短程的漲幅比較高那你看這個長城呢就是從志強號等級比較高距離比較遠台北到高雄漲幅只有18%台北到台東漲幅只有20%那當然我想問一下這樣子的票價的定價策略會不會讓短程的民眾覺得自己 |
transcript.whisperx[161].start |
5497.321 |
transcript.whisperx[161].end |
5522.23 |
transcript.whisperx[161].text |
像是這個潘娜一樣 要短程反而要付更多的錢那反而長程的這個票價他不用按比例去付更多的票價我想問一下台鐵當初在做這個定價策略的思考是什麼那未來會不會因為這樣的受到這個我們的台鐵營運會不會因為這樣受到你本來想要賺更多錢但結果導致大家寧願不去做台鐵就做別的運具或是自己開車騎車了 |
transcript.whisperx[162].start |
5523.991 |
transcript.whisperx[162].end |
5540.47 |
transcript.whisperx[162].text |
董事長謝謝委員指教基本上我們這次的這個定價的這個策略基本上是用地遠地簡致換句話說我們比較長程的部分我們調升的比例是比較少主要也是因為我們希望說台鐵跟高鐵 |
transcript.whisperx[163].start |
5541.971 |
transcript.whisperx[163].end |
5570 |
transcript.whisperx[163].text |
基本上有一個運軀分工的概念也就是說我們會比較著重在這個短程那這些通勤的這部分的話來我們是我們要努力的但是對長程的部分的話呢我想這不是台鐵要努力的空間應該是給高鐵而且旅客來講也是這樣來得這個他的這個心理學心理上基本是所以我們在短程裡面我們會希望說我們的班次增多 |
transcript.whisperx[164].start |
5571.381 |
transcript.whisperx[164].end |
5593.622 |
transcript.whisperx[164].text |
讓我們的通勤旅客隨時有車子可以打最重要能夠把它做到準點在這個方面的話我們希望能夠得到旅客的認同至於票價因為短程基本上量不大但是看起來是百分比確實是沒錯大概百分之四十幾當時我們整個定價的一個策略大概是這樣的一個方向 |
transcript.whisperx[165].start |
5594.147 |
transcript.whisperx[165].end |
5610.424 |
transcript.whisperx[165].text |
我就說這定價策略會不會導致就是說萬一啦但是定價策略我不知道第一個這個策略出來之後你多久要檢討一次會不會因此運量下降你們有沒有定什麼時候來檢討如果因為這樣造成運量下降的話營收假設上升但運量如果整體下降等於你服務民眾的這個 |
transcript.whisperx[166].start |
5612.011 |
transcript.whisperx[166].end |
5627.294 |
transcript.whisperx[166].text |
可及性變低之後 那你這個票價有沒有在調整的空間還是這個東西一直往上漲上去 我要問的是這個是 各位報告 基本上我們會逐年來調整來看我們這個策略當時的目標有沒有達到我們的目的 |
transcript.whisperx[167].start |
5628.515 |
transcript.whisperx[167].end |
5649.845 |
transcript.whisperx[167].text |
目前看來我們剛票價調整以後前面幾天我們看起來整個運量其實我們增加了並不多大概只有2點多個%但是我們的營收增加了24%所以這個的話策略來講我想初步看來是OK的 |
transcript.whisperx[168].start |
5650.786 |
transcript.whisperx[168].end |
5665.624 |
transcript.whisperx[168].text |
好 董事長謝謝董事長請回 謝謝謝謝部長 最後一題我要針對我們台中捷運這是一定要問的這是今年四月中的時候你們來考察台中捷運局限當時有一個新聞說交通部長允諾要速審那我要跟大家講這個速到底多速 |
transcript.whisperx[169].start |
5666.625 |
transcript.whisperx[169].end |
5693.923 |
transcript.whisperx[169].text |
這個去年7月2號我想部長也知道我們去年7月2號台中捷運局線就通過了所謂交通部的可能性研究的審查會有條件通過那去年的10月市府有把這個修正報告也送回了交通部那準備要送出那從去年7月2號通過到去年10月1號再送出那到現在已經今天6月25號即將要滿一年了這到7月2號即將要滿一年了那到底這一年等了一年進度是什麼因為 |
transcript.whisperx[170].start |
5695.224 |
transcript.whisperx[170].end |
5711.075 |
transcript.whisperx[170].text |
這個還涉及到我們 捷運決訓不只經過商業區 不只經過人口密集區啊 它還經過機場嘛那這涉及到我們台中機場所謂2040的這個大的計畫那當初這2040大的計畫裡面 包含了台中捷運的這個運量的部分 |
transcript.whisperx[171].start |
5711.875 |
transcript.whisperx[171].end |
5731.196 |
transcript.whisperx[171].text |
二零四零距今也是剩十五年而已啊那按照過去蓋捷運的經驗光是蓋工程面可能就要拖個不要說拖啦可能正常進行大概也要十年左右的時間那從二零四零到現在如果只剩十五年那我的捷運就先光前面的文件審查到現在還在可行性的部分我想問一下這一年到底發生什麼事情以及 |
transcript.whisperx[172].start |
5732.097 |
transcript.whisperx[172].end |
5759.085 |
transcript.whisperx[172].text |
什麼時候才能夠送進行政院然後兩行政院趕快核定回來才能進行後面的重要規劃報告委員這個案子我們目前部裡面正在審查不過這個案子我們遇到了幾個重要的課題第一個是我們南投延伸的課題第二個是目前海線延伸的課題鐵道局已經確定要補助1170萬來做這個海線延伸的這個課題那另外也就是說在台中火車站的那個交接的問題以及轉乘的問題 |
transcript.whisperx[173].start |
5760.905 |
transcript.whisperx[173].end |
5785.756 |
transcript.whisperx[173].text |
目前也跟市政府正在延伸 應該有個結論了啦 差不多有個結論了那因為遇到這幾個課題 所以時間上可能會延長一點不過我的態度還是一樣 在交通部的部分我們會加速來審查那個延伸我想這樣啦 台中不是第一次做延伸線我們現在的綠線 綠線延伸是另外的計畫今天你橘線 包含說要延伸到海線 延伸到南投 那個都是後來送來的 |
transcript.whisperx[174].start |
5786.576 |
transcript.whisperx[174].end |
5814.003 |
transcript.whisperx[174].text |
那不應該影響到主線的進度啊就你要延伸我也沒有意見都支持反正能做都做但問題是今天如果為了延伸線去影響到主線的這進度我想大家應該是沒辦法接受啦市長我們也希望他能夠加速可是不一樣的地方有不一樣的想法坦白講在台中不一樣的地方大家想法也不一定是一樣但對我們來講加速是一定要做的事不是啦 部長你這樣意思說我們今天結運局限要不要過 |
transcript.whisperx[175].start |
5815.163 |
transcript.whisperx[175].end |
5829.796 |
transcript.whisperx[175].text |
要不要審查通過會受到延伸線的影響嗎因為你延伸線你要等於連這個可行性都還沒送出來還要重新再做可行性那你要等到可行性送出來然後還要通過交通你延伸線還要先通過交通部耶 |
transcript.whisperx[176].start |
5830.612 |
transcript.whisperx[176].end |
5852.838 |
transcript.whisperx[176].text |
他那邊過了然後才併到這個主線裡面因為今天對我們來講我們現在正在研討就是看怎麼樣分開討論啦但是還是一定要同時能夠做得好要同時能夠做得好我也希望能夠把原本的主線先往前走但其他的延伸線不要落對了不要到最後變成不見了這個部分我們正在討論 |
transcript.whisperx[177].start |
5853.858 |
transcript.whisperx[177].end |
5881.303 |
transcript.whisperx[177].text |
這沒問題啊 如果說今天主線先過嘛 主線能過先過我目前也在努力 工程假設能夠先做了你主線蓋完你才有延伸線的問題嘛這主線要蓋也要好幾年的時間我目前也在努力這個方向 好不好這個真的要快一點 這真的白白就等了一年了7月號 去年7月號現在即將滿一年了我跟你講這個過程當中其實有很多的修正的內容都在修正這個部分我們跟台中市政府都有在配合好 希望這個真的要加速 不然你會趕不上2040的機場的計畫 |
transcript.whisperx[178].start |
5883.443 |
transcript.whisperx[178].end |
5901.011 |
transcript.whisperx[178].text |
好不好 部長謝謝 謝謝委員好 謝謝黃建豪委員的執行這個特別提醒部長 這個是我去會刊的我要拜託啊 我要拜託啊還是要照這種進度啊 要趕一下啦 好不好好 接下來我們請陳樹業委員執行 |
transcript.whisperx[179].start |
5910.844 |
transcript.whisperx[179].end |
5926.552 |
transcript.whisperx[179].text |
謝謝主席請主席邀請陳部長還有高鐵石董事長好交通部陳部長還有高鐵石董事長委員好 |
transcript.whisperx[180].start |
5926.977 |
transcript.whisperx[180].end |
5942.274 |
transcript.whisperx[180].text |
部長早還有董事長早那本席先請教我們高鐵石董事長因為最近就是高鐵跟台鐵的這個人事發布然後也引起外界的關注跟議論那高鐵的部分就是外界對 |
transcript.whisperx[181].start |
5943.115 |
transcript.whisperx[181].end |
5963.135 |
transcript.whisperx[181].text |
就是石董事長來接任 當然就是有一些爭議跟聲音啦 認為說您沒有這個交通的經驗所以認為說讓你來當這個高鐵的董事長是一種酬庸啦那我們知道高鐵成立通車到現在大概18年的時間嘛所以高鐵公司可以說是一個 |
transcript.whisperx[182].start |
5963.675 |
transcript.whisperx[182].end |
5980.267 |
transcript.whisperx[182].text |
年紀很輕的公司到目前也是充滿了這個活力也是非常的有制度那本期來台北開這個開會也都是每次都搭高鐵所以對高鐵的服務品質我覺得也是非常好都是予以肯定那在歷任的董事長的 |
transcript.whisperx[183].start |
5981.847 |
transcript.whisperx[183].end |
6007.933 |
transcript.whisperx[183].text |
這個經營管理之下其實備受外界的肯定所以本席請教說如果說高鐵公司目前給外界的印象是100分的話那如果由你來帶領這個高鐵公司你要讓人家如何覺得會不一樣因為如果說你來當了這個董事長結果還是一樣的話那會不會就是讓人家覺得說你就是世衛素餐是一個愁容 |
transcript.whisperx[184].start |
6009.083 |
transcript.whisperx[184].end |
6036.454 |
transcript.whisperx[184].text |
是 謝謝委員的指教我想感謝委員的這個肯定高鐵確實從18年前開通那一刻事實上帶給國人是一個經驗因為當年事實上台灣人並沒有體會到我們的公共建設公共服務可以達到這樣的品質那這18年來我們歷經了過去的新建期那開通的開創初期以及財務改革以及疫後的衝擊那我想在立院的經營團隊也特別感謝 |
transcript.whisperx[185].start |
6037.795 |
transcript.whisperx[185].end |
6062.529 |
transcript.whisperx[185].text |
這個鄭董事長那我想高鐵確實如委員所肯定的他您覺得他是100分那很高的分數就代表他其實要再繼續維持或進步事實上是相當大的挑戰但是我們也要承認今年第18年明年第19年我們新車到港來台後年20年20年的一個運輸業我們是不是應該為未來的10年20年要做好準備 |
transcript.whisperx[186].start |
6063.61 |
transcript.whisperx[186].end |
6086.056 |
transcript.whisperx[186].text |
而新車的加入事實上是現在民眾普遍的期待因為確實我們因為景氣的復甦 疫後人潮的爆發事實上確實現在在尖峰時段尤其是對我們中南部是一味難求那也間接的造成我們第一線服務人員的壓力以及服務品質的下降 |
transcript.whisperx[187].start |
6086.616 |
transcript.whisperx[187].end |
6099.791 |
transcript.whisperx[187].text |
因此新車的如期如止的上路是我最重要的一個責任那也是今天我來接任董事長可以說考試的鈴聲已經響起交卷的時間也確定 |
transcript.whisperx[188].start |
6101.553 |
transcript.whisperx[188].end |
6126.042 |
transcript.whisperx[188].text |
考試的題目是公開是open book大家都可以看得到他最後的成績如何因此我用這樣的方法來回答委員就是說我不敢講更上一層樓但是高鐵在未來前瞻性的十年二十年在這一次以新車加入導入為基礎的整體的高鐵2.0我想是我對我自己自我的期許也是希望能夠對全國民眾的責任謝謝 |
transcript.whisperx[189].start |
6127.302 |
transcript.whisperx[189].end |
6140.126 |
transcript.whisperx[189].text |
是我想就是你這個人事的決定相信也是你的能力有受到肯定那當然外界也都睜大眼睛在看所以本席也是期待說石董事長未來在高鐵公司這個董事長任內能夠 |
transcript.whisperx[190].start |
6144.929 |
transcript.whisperx[190].end |
6172.148 |
transcript.whisperx[190].text |
就是有所作為然後讓外界能夠眼睛一亮有不同的這樣的更好的企業文化謝謝委員還有就是這個班次的問題就是本席彰化縣這個田中就是彰化站就是在田中所以這個班次的問題地方鄉親也一再的反映所以在這個部分我們也希望我們高鐵公司這邊要就是多加於考量就是在彰化站的部分 |
transcript.whisperx[191].start |
6172.85 |
transcript.whisperx[191].end |
6197.175 |
transcript.whisperx[191].text |
是 我想田中的彰化站當然目前整個人次還不到五千那比較可惜當然它是一個沒有跟台鐵共構的站它跟台鐵火車站最近還有三公里之遙但是呢高鐵事實上扮演了一個非常均衡台灣的一個角色所以有關於各地的站的班次的問題我想我們會持續性的來檢討這是我們也是相當重視的課題 |
transcript.whisperx[192].start |
6198.376 |
transcript.whisperx[192].end |
6226.728 |
transcript.whisperx[192].text |
是好謝謝施董事長那接下來我來請教台鐵的部分所以請台鐵鄭董事長那在這邊我想先請教就是我們看到台鐵的旅域因為台鐵鐵路運輸也是還是一個不可或缺的一個交通運輸的一個管道那可是我們看到最近只有單單五月份就發生三件這個暴力攻擊的一個事件 |
transcript.whisperx[193].start |
6227.148 |
transcript.whisperx[193].end |
6255.016 |
transcript.whisperx[193].text |
那過去也是屢次發生甚至有導致鐵路警察喪失生命的這種不幸的意外所以對於這個屢次發生暴力攻擊事件我們要怎樣去維護旅運的一個安全不僅是員工的安全當然還有相關的旅客的安全我們都要去重視所以我們在這個部分先請鄭董事長簡單回應一下好了好不好先說明一下 |
transcript.whisperx[194].start |
6255.856 |
transcript.whisperx[194].end |
6283.811 |
transcript.whisperx[194].text |
我想這個維護我們員工的職場上的安全這是我們的責任那在這一方面的話我們也對一些有出現暴力這種不法的這種對的這種旅客對員工的這種傷害我們基本上會尊重我們員工的這個提訴權我們也都會安排我們一些必要的話我們一些這個法務人員都可以來提供這樣的一個協助 |
transcript.whisperx[195].start |
6284.795 |
transcript.whisperx[195].end |
6297.044 |
transcript.whisperx[195].text |
是就是法務人員是事後發生的協助啦那當然我也有看到一個訊息就是說有員工在反映說是不是可以有相關的一些裝備包括密錄器還是什麼之類的可以讓他們 |
transcript.whisperx[196].start |
6297.935 |
transcript.whisperx[196].end |
6320.633 |
transcript.whisperx[196].text |
可以保護自己 不曉得這方面我們有沒有相關的想法是 秘錄器這一部分我們也跟工會這邊有充分的討論員工方面確實是有希望能夠有這樣 尤其在列車長這一部分他們希望因為這樣能夠得到保障我想這一部分我們現在積極在研究 操作方面來努力 |
transcript.whisperx[197].start |
6321.104 |
transcript.whisperx[197].end |
6349.29 |
transcript.whisperx[197].text |
好謝謝那我們知道其實台鐵的這個旅運安全絕大部分應該是說百分之百要仰賴鐵路警察嘛對不對仰賴鐵路警察所以這個鐵路警察非常的重要那目前就是我的選區有遇到一個問題這個可能要拜託部長來解決就是目前在園林火車站前面的這個鐵路警察局分住所 |
transcript.whisperx[198].start |
6349.93 |
transcript.whisperx[198].end |
6378.076 |
transcript.whisperx[198].text |
他元寧分住所 他目前就是面臨到元寧市公所就是地方政府要拓寬這個計畫道路那這個現有的建築物就是必須被拆除一半了啦那拆除一半之後就幾乎應該安全性或者空間就不敷使用了那目前這個經費就是已經爭取到營建署這個是計畫道路內的道路拓寬所以營建署經費都已經補助也撥下去了 |
transcript.whisperx[199].start |
6378.576 |
transcript.whisperx[199].end |
6384.861 |
transcript.whisperx[199].text |
所以地方政府也有那個壓力可是目前就是這個元年分住所那個鐵路警察局他目前沒有一個安身之處所以他還沒有辦法搬那他暫時遷移還沒有著落 |
transcript.whisperx[200].start |
6393.887 |
transcript.whisperx[200].end |
6399.368 |
transcript.whisperx[200].text |
之外呢 他未來到底要重建重建的話要建在哪邊所以這個課題因為我們有召開協調會可是對於鐵路警察的單位來說他認為說他是在協助我們台鐵維護治安所以不管是安頓或者是未來的簽建的經費希望交通部這邊要來幫他們解決 |
transcript.whisperx[201].start |
6421.435 |
transcript.whisperx[201].end |
6423.413 |
transcript.whisperx[201].text |
我先請教一下部長 您的看法 |
transcript.whisperx[202].start |
6424.205 |
transcript.whisperx[202].end |
6451.242 |
transcript.whisperx[202].text |
報告委員 這個我們先來釐清一下就是經費的部分內政部當然是所有警察的主管單位那這個部分我們會來跟他們協調該是交通部出當然就交通部來出那有可能也有可能會是內政部我們再來協調但無論如何無論如何我們這個鐵路警察的員林派出所的部分一定會讓他們有一個很好的地方可以辦公這個部分我們一定會確保 |
transcript.whisperx[203].start |
6452.202 |
transcript.whisperx[203].end |
6464.476 |
transcript.whisperx[203].text |
那這個土地的部分或空間的部分我們也跟台鐵公司我想台鐵公司也經過會勘了啦那後面的經費也一定不會讓在地的這些鐵路警察們的這個同仁們需要去擔心這個問題這個我們會來解決對我也是覺得說這個問題不應該是丟給地方基層那個 |
transcript.whisperx[204].start |
6469.822 |
transcript.whisperx[204].end |
6472.024 |
transcript.whisperx[204].text |
鐵路警察派出所他們去傷腦筋剛剛部長提到說這個經費就是要經過協調因為我覺得這層級應該就是要部長出面才有辦法因為我邀請內政部的鐵路警察 |
transcript.whisperx[205].start |
6485.033 |
transcript.whisperx[205].end |
6512.071 |
transcript.whisperx[205].text |
那個台中的那個分局他們也沒辦法做主啊他們也是認為就是要交通部來出面可是交通部這邊我們台鐵不敢做主啊他們也不敢答應啊所以我覺得說這個就是要部長要可能要你們就是兩個交通局好 這個案子我們來協助好 我們來協助那未來就是簽件的話這個用地的部分目前初步台鐵的公司這邊是有願意提供這個倒搬房的用地啦 |
transcript.whisperx[206].start |
6513.151 |
transcript.whisperx[206].end |
6539.378 |
transcript.whisperx[206].text |
我覺得這也要感謝我們台鐵公司這邊有這個誠意在協助解決所以未來我們希望就是說可以很順利的把這個地點確定之後然後改建的監會也確定把這個問題趕快解決這樣子那因為這個鐵路警察局就是派出所啦目前這樣子的位置就是會妨礙到整個元嶺火車站前面的交通的一個動線所以這個道路的拓寬真的也是地方的一個期待 |
transcript.whisperx[207].start |
6540.098 |
transcript.whisperx[207].end |
6562.661 |
transcript.whisperx[207].text |
那未來我這邊也要再建議一下就是說這個鐵路警察局現有的這一個如果拆除簽件之後我們希望這一個空間我們台旅公司這邊是不是也在做一個妥善的規劃讓原有的那個計程車排班有一個更好的一個位置跟動線是不是可以請那個董事長這邊 |
transcript.whisperx[208].start |
6563.542 |
transcript.whisperx[208].end |
6589.14 |
transcript.whisperx[208].text |
是,有關於這個遷建以後,這地怎麼來用我想第一個就是要來對這個在地的這個交通有所幫助,我想這個是最重要的是,好,那我在最後一個問題,然後這也是一個小問題就是就是火車站附近,真的這個交通非常的複雜,車流量很大,那對停車需求也是非常的 |
transcript.whisperx[209].start |
6590.24 |
transcript.whisperx[209].end |
6614.308 |
transcript.whisperx[209].text |
那目前在社投火車站前面目前地方鄉親就有在反映說目前民營的停車場的收費太高了那我們了解之後發現說我們在社投火車站附近事實上是有我們台鐵的閒置土地那所以本席在這邊建議說台鐵公司是不是可以善加利用 |
transcript.whisperx[210].start |
6614.848 |
transcript.whisperx[210].end |
6629.274 |
transcript.whisperx[210].text |
把這個閒置土地規劃來當作停車場然後可以提供民眾使用那也可以在這個費用上能夠盡量的就是減輕那個民眾的一個負擔這樣子謝謝委員 直接我們朝這方向來進行 |
transcript.whisperx[211].start |
6630.222 |
transcript.whisperx[211].end |
6648.466 |
transcript.whisperx[211].text |
OK好謝謝鄭董事長我想鄭董事長在高鐵任內的一個成績所以您來擔任台鐵董事長相信大家也是對你寄予厚望希望就是說你以你的經驗能力來帶領是不是可以讓這個百年老店重新有一個活力是不是 |
transcript.whisperx[212].start |
6649.131 |
transcript.whisperx[212].end |
6674.665 |
transcript.whisperx[212].text |
好 謝謝委員指教 我盡力來處理好 謝謝鄭董事長 謝謝部長好 謝謝陳樹葉委員的執行現在請何欣淳委員執行好 謝謝主席 謝謝國城召委我們是不是先 部長先喝口水 慢慢來好 我們請陳部長好 請交通部陳部長 |
transcript.whisperx[213].start |
6676.533 |
transcript.whisperx[213].end |
6703.483 |
transcript.whisperx[213].text |
那今天我們聚焦在台鐵跟高鐵那我要請教部長因為我一直很關心這個行動電源的安全問題那剛好我看到這個新聞那有系列的報導這個中國製的行動電源災情連環報那聽說這個安普瑞斯電芯是其中就是那個電池的問題裡面的一個零件是禍首 |
transcript.whisperx[214].start |
6706.389 |
transcript.whisperx[214].end |
6724.976 |
transcript.whisperx[214].text |
這個因為這樣子所以中國製的這個行動電源現在有羅馬市跟安克已經相繼公告要收回回收那他們存在這個起火爆炸風險的這兩家的行動電源相當於全球2024出貨量的四分之一 |
transcript.whisperx[215].start |
6725.916 |
transcript.whisperx[215].end |
6746.849 |
transcript.whisperx[215].text |
那我要請部長要重視這個問題是在於雖然我看到媒體上宣稱安克號召回收召回的70萬顆裡面在台灣涉及的數量不超過5500顆但是這個是由代理商的一個官方數字 |
transcript.whisperx[216].start |
6747.669 |
transcript.whisperx[216].end |
6765.544 |
transcript.whisperx[216].text |
那如果說有現在盛行的電商的網購或者是我們自行平行輸入的民眾自己帶回來的台灣到底有多少這樣的數量不清楚那我要問的是什麼既然有這樣子的一個風險存在也曾經發生來下一頁 |
transcript.whisperx[217].start |
6767.935 |
transcript.whisperx[217].end |
6784.91 |
transcript.whisperx[217].text |
行動電源的事故在航空釜山航空客機曾經發生過香港航空在飛行途中也曾經發生過那我們也看到在國內有台鐵有高鐵也有所以我們現在要請部長是 |
transcript.whisperx[218].start |
6785.771 |
transcript.whisperx[218].end |
6813.941 |
transcript.whisperx[218].text |
要求在航空高鐵台鐵的三大的運具系統裡面這個是國人的安全最重要那如何保障那航空當然我們知道他們有國際公約所以呢航空做的是最高標準最嚴格的所以呢我們也看到在民航運輸裡面對於這個起火有納入他們的應變跟訓練項目但是當然我知道呢用民航的這個高規格國際的高規格可能跟高鐵 |
transcript.whisperx[219].start |
6814.921 |
transcript.whisperx[219].end |
6834.17 |
transcript.whisperx[219].text |
台鐵跟路上的不是這麼樣的一個match適用但是我們也應該要注意到高鐵跟台鐵對於相關的這個行動電源可能自然可能起火可能造成的一個車廂內的一個這個恐慌那我們又該如何的應變部長這個你同意嘛對不對 |
transcript.whisperx[220].start |
6835.771 |
transcript.whisperx[220].end |
6861.17 |
transcript.whisperx[220].text |
是相當同意感謝委員的垂詢針對這個議題其實最近大家都相當關注所以我們在民航系統各個航空公司現在在登機的時候針對行動電源都有新的規範新的規定那車廂上面在台鐵跟高鐵都發生過那我知道鐵道局其實都有要求每一個鐵路系統都要做防災尤其是火災方面的演練那台鐵跟高鐵其實都有做這方面的演練 |
transcript.whisperx[221].start |
6861.61 |
transcript.whisperx[221].end |
6887.797 |
transcript.whisperx[221].text |
部長我就是要來跟你討論這件事我曾經跟運安會質詢運安會有給了我一些建議他們也會給高鐵跟台鐵一些建議當然如部長所說的可能局長也有要求高鐵確實有訂定火災一般性的應變程序問題是我調了一個資料的時候是在於因應不同樣態的火災的應變程序到底有沒有落實 |
transcript.whisperx[222].start |
6889.037 |
transcript.whisperx[222].end |
6914.439 |
transcript.whisperx[222].text |
我覺得這是一點現在的樣態有很多不同的一個火災發生的原因那當然在車廂內我也肯定我也相信高鐵一定有這個嚴格的一個應變的一個措施跟演練但是還是發生了還是曾經發生了所以現在呢我們希望呢高鐵的新董事長上任我覺得安全的問題一定要注意喔那最重要的是呢高鐵 |
transcript.whisperx[223].start |
6915.62 |
transcript.whisperx[223].end |
6932.459 |
transcript.whisperx[223].text |
的這個有沒有辦法針對他現在的一個應變措施在優化我覺得我給時間請董事長是不是把這個納入是在新型的車廂要進來了新型的車廂裡面到底有沒有相關的一個安全的應變措施的優化有嗎 |
transcript.whisperx[224].start |
6936.6 |
transcript.whisperx[224].end |
6952.276 |
transcript.whisperx[224].text |
報告委員新型的車廂還沒有進來啦但是未來的部分當然要先來預作討論那剛剛委員其實有提醒到說火災一樣是火但是樣態可能不一樣所以我們的同仁要有那個知識足夠的知識知道說例如說離電池 |
transcript.whisperx[225].start |
6954.057 |
transcript.whisperx[225].end |
6973.122 |
transcript.whisperx[225].text |
該怎麼處理離電池跟一般的火災其實真的相當的不同你可能用一般的滅火器無法來處理那該怎麼處理那重點我覺得第一重點是第一要務是除了處理那個火災以外第一要務應該是人員的疏散跟安全人員不要出事這個部分要先有這部分的能力 |
transcript.whisperx[226].start |
6973.442 |
transcript.whisperx[226].end |
7002.408 |
transcript.whisperx[226].text |
因為我知道高鐵他行駛的速度相當快所以你他沒有辦法像一般譬如說我們的公車或者是台鐵他可以馬上停站那當然要有一定的規模以上的一個災害的樣態才會停車嘛那所以呢我只是提醒高鐵公司我們現在剛剛我聽到董事長在回答我們即將20年那我們要為未來的10年未來的20年還要再做更 |
transcript.whisperx[227].start |
7002.908 |
transcript.whisperx[227].end |
7021.048 |
transcript.whisperx[227].text |
安全更專業更嚴格的自我要求來提供旅客安全跟快速便利所以這個是未來新型態的一個災害樣態我只是希望說不管是現在或是未來新型車廂進來這個整個包括部長你提示的這個 |
transcript.whisperx[228].start |
7022.669 |
transcript.whisperx[228].end |
7025.452 |
transcript.whisperx[228].text |
火災怎麼應變我知道高鐵現在車廂裡面的這個這個叫什麼滅火器那個滅火器是複合型的任何包括離電池自然也可以適用的那未來的新型車廂是不是也是如此那這個其實是第一要務第二要務 |
transcript.whisperx[229].start |
7040.729 |
transcript.whisperx[229].end |
7068.164 |
transcript.whisperx[229].text |
旅客的安全那怎麼樣的有秩序的一個疏散跟應變所以除了高鐵之外台鐵當然也是鐵道局管的嘛台鐵也是換了新董事長啊台鐵在行動電源的起火裡面也有兩起的案例囉那我們台鐵現在的列車的型號又比高鐵複雜高鐵呢可能比較一致性那台鐵它有很多不同的型號對不對那所以它的 |
transcript.whisperx[230].start |
7069.425 |
transcript.whisperx[230].end |
7088.463 |
transcript.whisperx[230].text |
這個應變機制需要更周全部長同樣的我也希望新的董事長上任除了對於台鐵的這個營運那我希望對於安全專業應該要更能夠從民眾的角度旅客的角度來要維護安全第一嘛部長對不對 |
transcript.whisperx[231].start |
7089.204 |
transcript.whisperx[231].end |
7112.786 |
transcript.whisperx[231].text |
是沒有錯安全絕對是第一要務這個部分我們會來請台鐵公司針對因為現在離電池的人越來越多行動電源的人越來越多所以這件事情可能未來可能還會發生那我們遇到的時候該怎麼應變我覺得台鐵公司跟高鐵公司都要做好萬全的準備尤其是我們同仁的訓練這個部分我們應該要專案下去處理我再跟部長講一件事 |
transcript.whisperx[232].start |
7113.527 |
transcript.whisperx[232].end |
7131.057 |
transcript.whisperx[232].text |
高鐵是比較新發展的運具所以他的智慧系統OK大家肯定但是台鐵沒有台鐵區間車跟自強號跟新自強號新自強號是新型的列車所以如果一旦發生事故 |
transcript.whisperx[233].start |
7132.277 |
transcript.whisperx[233].end |
7159.353 |
transcript.whisperx[233].text |
這個警示鈴的訊號可以直接連線列車長的他的那個運具上面可以自動連線他馬上就智慧系統啟動他看得到也知道事故發生在哪一個列車哪一個點可是呢除了新志強號之外區間車跟志強號是都沒有的喔他的警示鈴的設置系統是老的、古的他可能只有在列車長室才看得到可能是哪一個列車車廂 |
transcript.whisperx[234].start |
7160.814 |
transcript.whisperx[234].end |
7188.003 |
transcript.whisperx[234].text |
出了事情其他呢如果列車長不在現場他就不知道那當然你會看到有的區間車呢他的警示鈴按下去之後呢是全系列的車廂都會廣播可是他廣播他也沒有告訴列車長說是在哪一個地方發生了事故我們台鐵的車廂是一點都不智慧化那在這個情況之下我們怎麼幫台鐵部長 |
transcript.whisperx[235].start |
7190.253 |
transcript.whisperx[235].end |
7206.418 |
transcript.whisperx[235].text |
是 報告委員這個是舊車廂啦目前大部分都是舊車廂啦那當然一方面我們的這個列車長一定知道他的車廂目前的設計是這個樣子所以他當然會特別去追問他必須要一個一個詢對他必須要一個一個詢他一定知道現在的這個狀況所以他沒有辦法及時啊他要一個車廂一個車廂走一個車廂一個車廂損損到他才知道發生什麼事情在哪裡發生那他才能夠處理那所以一點都不及時 |
transcript.whisperx[236].start |
7220.083 |
transcript.whisperx[236].end |
7233.129 |
transcript.whisperx[236].text |
那我們的舊車廂如果沒有要很短期時間之內汰換的話是不是有可能我們去研究一下有沒有什麼樣的即時的系統委員在提醒的這個我覺得非常值得去做研究非常值得去做因為我們已經在2023看到媒體的報導搭火車緊鄰從彰化翔到台中列車長都不知道那另外2024媒體報導這個當然說他的廁所的求助理是波兒哥倫敦橋 |
transcript.whisperx[237].start |
7249.076 |
transcript.whisperx[237].end |
7268.16 |
transcript.whisperx[237].text |
重點不再是撥兒歌 重點是它是一個廣播系統廣播系統雖然讓旅客跟列車長知道但是呢 發生什麼事情 發生在哪裡列車長 也是要一樣一個一個選所以它沒有辦法即時處理喔那這個就是安全的問題這個是安全的問題 跟應變應變有沒有即時 應變有沒有效率的問題喔這是安全 所以部長 |
transcript.whisperx[238].start |
7276.281 |
transcript.whisperx[238].end |
7302.142 |
transcript.whisperx[238].text |
提醒我們高鐵台鐵都換新動作我們希望安全的這件事情第一個要科技化第二個我們希望他專業化第三個我們希望真的在人員的訓練上面應變措施等等都要及時更新跟得上時代的腳步啦好不好好謝謝謝謝委員部長那這樣子需要多久時間要台鐵研議你們研議大概要多少時間 |
transcript.whisperx[239].start |
7304.406 |
transcript.whisperx[239].end |
7306.987 |
transcript.whisperx[239].text |
謝謝何新淳委員的執行現在請習富奎委員執行那跟大會特別報告洪孟凱委員執行完畢我們休息十分鐘現在請習富奎委員執行 |
transcript.whisperx[240].start |
7335.653 |
transcript.whisperx[240].end |
7363.431 |
transcript.whisperx[240].text |
謝謝主席 有請我們陳部長來 陳部長委員好部長早部長我想我們先來關心一個時事題是之前部長有跟 特別跟我們國防部的顧部長是有提到7月1號之後我們軍人搭機的部分能夠有優先的一個登機的禮遇是 沒錯 |
transcript.whisperx[241].start |
7364.091 |
transcript.whisperx[241].end |
7391.133 |
transcript.whisperx[241].text |
那軍卷列為下一個研議的對象有這個方案嗎我們目前正在研議當中我們也參考美國的案例他們的這個軍卷可以帶一位軍卷可以帶一位軍卷那這個部分我們也是在跟國防部討論要如何去認定因為這個認定蠻重要的要確認真的它是軍卷那目前所聽起來國防部他們會有這方面的識別的系統那如果有的話其實這個部分我們就可以來進行好 |
transcript.whisperx[242].start |
7391.613 |
transcript.whisperx[242].end |
7411.733 |
transcript.whisperx[242].text |
那部長我想我們也要提到一個比較謹慎的國安問題因為我想最近我們也看到很多這個中共這個不斷滲透這個我們的包含退役軍人也好 限職軍人也好那我們這樣子的一個機制當然這個是對我們軍人的一個禮遇但是會不會變成這樣子的一個情質這個資訊 |
transcript.whisperx[243].start |
7413.494 |
transcript.whisperx[243].end |
7430.299 |
transcript.whisperx[243].text |
會被他們竊取之後變成另外一個被滲透的一個對象我們有沒有考慮過這個點報告委員這個部分我們跟國防部討論的過程當中有討論過也理解說這個部分其實很重要第一軍人的身份不要被別人掌握這個很重要 |
transcript.whisperx[244].start |
7430.979 |
transcript.whisperx[244].end |
7456.879 |
transcript.whisperx[244].text |
那第二飛機上到底有多少軍人這個也不要被掌握那這個部分呢其實我們有跟國防部討論過之後我們到時候的識別的模式對於軍人來講他只要拿出他的識別證我們的人員有看到就好但我們不會做登記或者是登錄因為你登記或登錄他的身份可能就顯露出來那這個部分我們會特別注意所以針對他的個資的部分我們也會特別注意所以這個部分請委員放心 |
transcript.whisperx[245].start |
7457.259 |
transcript.whisperx[245].end |
7481.585 |
transcript.whisperx[245].text |
對 部長說我想這部分我們還是必須跟國防部來做審慎的一個演繹這是一個利益良善的一個制度但是我們也擔心變成被滲透的一個管道這要注意一下是 所以我們在飛機上也不會特別註記說哪個位置是軍人這個註記的部分不會做只是看他的識別證就可以了好 謝謝那我們再接著我們再請台鐵政董事長還有高鐵司董事長 謝謝 |
transcript.whisperx[246].start |
7489.773 |
transcript.whisperx[246].end |
7516.771 |
transcript.whisperx[246].text |
那個鄭董事長還有石董事長來兩位董事長恭喜我們都就任了那我想這個鐵道運輸是我們現在目前我們台灣的我們的鄉親這個通勤很重要的一個命脈也是包含旅遊跟經濟發展的一個命脈那因為我們立法院之前三讀通過的一個身心障礙權益保障法我們未來會把公共運輸的博愛座改更為優先優先席並將這個老弱婦孺的 |
transcript.whisperx[247].start |
7520.073 |
transcript.whisperx[247].end |
7547.554 |
transcript.whisperx[247].text |
部分修正為身心障礙者還有其他有需要的那兩位董事長我們後續針對我們車廂一個設施我們預估要花多少時間多少經費來做改善可以請兩個董事長說明一下嗎是 跟委員報告我們新車的部分呢其實我們已經把這個已經改成優先洗了那舊的車子的話我們馬上來按照這個現在訂的方式來做那首先要開落過的時間 |
transcript.whisperx[248].start |
7550.878 |
transcript.whisperx[248].end |
7561.89 |
transcript.whisperx[248].text |
我們今年年底前可以把這個工作做好年底了那高鐵部分董事長我們一旦這個細部的這個圖案跟標示統一公佈之後我們隨即會配合來辦理 |
transcript.whisperx[249].start |
7562.972 |
transcript.whisperx[249].end |
7580.707 |
transcript.whisperx[249].text |
所以我們一樣都會加快來配合辦理是那部長那除了高鐵跟台鐵之外那客運的部分也有這樣一個問題存在那客運的部分有沒有同步要做處理報告委員當然啦就是大家一體適用我們的這個立法院的這個立法過程三讀通過完之後 |
transcript.whisperx[250].start |
7581.507 |
transcript.whisperx[250].end |
7600.24 |
transcript.whisperx[250].text |
那該配合的執法交通部會來配合因為像在立法院這個是未還委員會他們那邊的他們負責的啦那不是在我們交委會但執法的修訂我們交通部會來配合那當交通部的這個執法修訂完成之後各個運具系統大家就會來配合修訂 |
transcript.whisperx[251].start |
7601.201 |
transcript.whisperx[251].end |
7619.575 |
transcript.whisperx[251].text |
因為我們也擔心之前為了這個搶博愛做也發生很多的這個斟酌的一個狀況我們也擔心未來也必須要把這個制度應該說清楚講明白對沒錯不然大家為了衝一下圍把人造成一些治安的問題也不好是是那這部分再麻煩我們再掌握一下狀況加速來完成好 |
transcript.whisperx[252].start |
7619.855 |
transcript.whisperx[252].end |
7646.506 |
transcript.whisperx[252].text |
那我想那個高鐵董事長這個石董事長過去人家都把你額額頂指望但是我們現在看到這個高鐵還是有一些的問題發生董事長這個現在每到週末禮拜五或是連假高鐵一票難求這個甚至人家說比演唱會的票更難買啦針對這樣的一個狀況你上任之後有沒有什麼樣的一個革新或是經濟的一個做法 |
transcript.whisperx[253].start |
7646.969 |
transcript.whisperx[253].end |
7661.134 |
transcript.whisperx[253].text |
是 我想對我們跟你們一樣都是南部出身的會感受特別深那我也必須承認這個未來兩年是一個必須共體時間的時刻因為我們要兩年之後這個高鐵20週年的時候我想新車才能夠正式加入營運 |
transcript.whisperx[254].start |
7662.054 |
transcript.whisperx[254].end |
7677.627 |
transcript.whisperx[254].text |
那在這裡跟大家這個承諾我們會盡一切的努力來確保它如期如止的上路來解決整體的需求那這兩年當中事實上高鐵已經採取非常多的措施來疏散來疏解這個五六日的這個尖峰 |
transcript.whisperx[255].start |
7678.388 |
transcript.whisperx[255].end |
7698.282 |
transcript.whisperx[255].text |
那除了說在車站配合部長的指示我們有這個前進指揮所來針對特別尖峰的時刻這個人潮的這個規劃引導之外事實上我們也希望說能夠把這個乘車能夠均化能夠不要大家全部都集中在同一個時刻而且我們機動性的加班事實上都一直在進行 |
transcript.whisperx[256].start |
7699.162 |
transcript.whisperx[256].end |
7711.169 |
transcript.whisperx[256].text |
所以我想這個近期採取這些措施之後事實上在幾個關鍵的時刻點尤其是禮拜五的下班時間事實上人潮確實是我們還是近期可能讓大家返鄉 |
transcript.whisperx[257].start |
7712.508 |
transcript.whisperx[257].end |
7735.037 |
transcript.whisperx[257].text |
那我想另外針對這個我們新幹線這個周邊他們整個這個商業發展非常的旺盛那也帶動了很多的這個產業經濟那董事長針對你的想法我們現在高鐵那麼多的站體那因為都一般都放在比較偏僻的地方那未來怎麼樣藉由這個軌道經濟能夠帶動一個經濟的發展產業的發展董事長有什麼想法 |
transcript.whisperx[258].start |
7738.898 |
transcript.whisperx[258].end |
7761.88 |
transcript.whisperx[258].text |
我想這不完全是高鐵的權責不過跟高鐵有相關我想整個TOD廠站的開發其實對於高鐵能夠均衡台灣尤其是在比較非都會區是一個非常重要的課題我想除了既有高鐵跟大家廠商之間的對接我們會來努力我想這好幾個站體我們其實都有連通道的計畫我想這個部分我們會強化來進行 |
transcript.whisperx[259].start |
7763.041 |
transcript.whisperx[259].end |
7782.059 |
transcript.whisperx[259].text |
董事長我想我們現在很多的觀光業者他們也期待搭上你們高鐵駕騎的列車啦是這部分能不能有效的再結合更多的業者能夠讓更多的業者能夠這個大家是一個一條龍的一個旅遊服務嗎是怎麼樣能夠增加方便性今天委員特別提示之後我們也特別會回來再進行檢討我想 |
transcript.whisperx[260].start |
7784.48 |
transcript.whisperx[260].end |
7797.786 |
transcript.whisperx[260].text |
我們平日的這個這個搭乘率大概是六成左右我們希望能夠把平日的這個搭乘率的空缺跟這個高鐵假期以及各方面的聯票再強化有些優化時段跟優化的票價應該可以再重新調整我們會來檢討 |
transcript.whisperx[261].start |
7800.307 |
transcript.whisperx[261].end |
7824.185 |
transcript.whisperx[261].text |
除了高鐵假期之外台鐵假期也是未來必須要發展的所以如果您有旅行業者的好朋友可以的話未來也跟台鐵來做這方面的結合非常多啦 但是他們都說我們的條件太嚴苛了是不是能夠稍微來開放一下讓更多的業者可以來加入我想雙鐵都會努力來配合所有的觀光業者好 那我想最後請教鄭董事長 |
transcript.whisperx[262].start |
7826.438 |
transcript.whisperx[262].end |
7847.991 |
transcript.whisperx[262].text |
我們在今年的1月25號我們發了一個新聞稿針對這個EMU3000型的座椅的優化的部分我們經過了這個全台五個車站的巡迴試坐已經票選出這個優化衣的部分那這個案子目前的進度什麼時候可以全面更新完成 |
transcript.whisperx[263].start |
7851.243 |
transcript.whisperx[263].end |
7877.521 |
transcript.whisperx[263].text |
我們在第一邊組因為在今年年底前完成然後我們再經過兩個月的試程然後我們如果大家都覺得OK的話那我們就會全面性的把它再按照所以還要再測試一次是的 我們還要看因為主要就是大家對這個是不是足夠符合這個舒適那我們還是要看實際上的狀況來說 |
transcript.whisperx[264].start |
7880.824 |
transcript.whisperx[264].end |
7893.611 |
transcript.whisperx[264].text |
董事長但是我看你們的新聞稿裡面包含你們這個所有的票選的結果甚至你們還感謝鄉親這個還有抽獎譬如說這個案子已經完成啊為什麼還會有這樣的狀況呢 |
transcript.whisperx[265].start |
7894.844 |
transcript.whisperx[265].end |
7921.516 |
transcript.whisperx[265].text |
我們基本上這個是第一邊組我們希望是按照這個票選的結果來做但是我們還是給自己一個空間說經過兩個月的這個試程以後是不是確實是達到當時預期的這個效果那我想我們還是尊重旅客經濟旅客然後我們再開始來進行董事長我知道我聽說過去我們台鐵這邊有一個叫做美學小組是 |
transcript.whisperx[266].start |
7923.213 |
transcript.whisperx[266].end |
7949.246 |
transcript.whisperx[266].text |
聽說這個議案美學小組給了很多的意見這個意見到底是好或不好 董事長你個人認為呢我想這部分也是這幾天我跟大家在檢討那美學小組我個人感覺就是說可能他從美學的角度但是他有沒有考慮到人體工學這個是一個我們要在這次裡面確實的把它把兩者能夠做一個平衡 |
transcript.whisperx[267].start |
7950.994 |
transcript.whisperx[267].end |
7975.634 |
transcript.whisperx[267].text |
我想我們都尊重專業啦 董事長 我想你也是這個心態過去你在高鐵服務的時候 我想帶動了一個整個高鐵的一個好的一個文化那石董事長就這樣順著腳嘛 未來繼續做一些好的改革那一樣 我相信杜董事長在卸任之前做了這個改革之後我們也期待這個 這進度要加快啦不然我們鄉親不是坐在醫院也沒有鬆開啦 |
transcript.whisperx[268].start |
7977.055 |
transcript.whisperx[268].end |
7999.274 |
transcript.whisperx[268].text |
應該要把這個時程再提早趕快進行來完成啦既然我們都已經走到這個階段呢應該是要趕快接著進行下去啦還有什麼特別的考量好我們按照這個努力的看能不能把這個第一組的編程看能不能提前來完成然後整個確實這個全面的推動的話也能夠把它提早完成這樣 |
transcript.whisperx[269].start |
8000.389 |
transcript.whisperx[269].end |
8025.027 |
transcript.whisperx[269].text |
對 然後另外我還要提一個 剛剛我跟那個我們王宜春委員在說我們在找的插頭的問題也很難聽那個插座真的必須要再調整過啦美學小組思考的點是站在這個整個美觀人體工學的考量但是有實用嗎 真的要去思考一下不能照單全收啦是 這一次這個會把這個插頭的問題在這一次一起考慮在內 |
transcript.whisperx[270].start |
8026.247 |
transcript.whisperx[270].end |
8034.163 |
transcript.whisperx[270].text |
我想我們要提供一個安全舒適的環境這也是大家一起要努力的目標這部分也拜託部長督促一下加快進行 謝謝 |
transcript.whisperx[271].start |
8038.514 |
transcript.whisperx[271].end |
8057.51 |
transcript.whisperx[271].text |
好 謝謝徐護魁委員的執行現在請魯明哲委員執行特別跟大家報告洪孟楷委員執行完畢休息十分鐘洪孟楷委員執行完畢休息十分鐘現在請魯明哲委員執行 |
transcript.whisperx[272].start |
8064.367 |
transcript.whisperx[272].end |
8077.519 |
transcript.whisperx[272].text |
謝謝主席 也有請我們交通部陳部長台鐵政董事長跟我們高鐵石董事長好 高鐵石董事長 政董事長我也好 |
transcript.whisperx[273].start |
8079.611 |
transcript.whisperx[273].end |
8101.476 |
transcript.whisperx[273].text |
三位我想這樣直接進入主題啦因為我特別看到6月17號這個台灣民意基金會做了一個民調針對我們賴總統的七項特質來詢問一下民意嘛我想這個部分大家都人民是頭家到底民意怎麼樣去看那我們發覺調查的一個結果有優的 有好的 有不好的 |
transcript.whisperx[274].start |
8102.236 |
transcript.whisperx[274].end |
8123.342 |
transcript.whisperx[274].text |
所以我們特別發覺跟今天主題因為我們不是要評論這七個特質我們發覺很有趣的說最差的就是民眾認為不肯定的最差的兩個倒數第一個倒數第一名當然就是政黨合作那就這個不是今天主題倒數第二名就是你相不相信這個賴總統誘人為財我講的不是賴總統他是最終負責者 |
transcript.whisperx[275].start |
8127.663 |
transcript.whisperx[275].end |
8144.388 |
transcript.whisperx[275].text |
不管是你行政院也好但外交部最近這個如果這個至少有5%外交部要負責外交部啊派誰派誰去到駐外派的其實你們覺得這還有理由但是很多民眾想不通那我們再想交通部 |
transcript.whisperx[276].start |
8145.7 |
transcript.whisperx[276].end |
8161.276 |
transcript.whisperx[276].text |
在這個基礎上面會不會有什麼貢獻因為現在這個部分就是給你們做參考啦因為畢竟我們部長以前也是跟在我們賴總統身邊的那民意這樣的一個反響我覺得你們要拿去做參考那我就請教一下這個 |
transcript.whisperx[277].start |
8163.378 |
transcript.whisperx[277].end |
8179.106 |
transcript.whisperx[277].text |
陳部長我想先問一下台鐵的振動市場振動市場在我們高鐵這個可以講說很多年的一個資歷跟經驗那你會用它到台鐵的話主要的一個用意你說一下吧 |
transcript.whisperx[278].start |
8179.426 |
transcript.whisperx[278].end |
8194.256 |
transcript.whisperx[278].text |
好 報告委員我在思考這個人的安排的部分我們先思考的是那個單位未來的發展的需求是什麼在台鐵公司化之後他需要有專業的經理人可以讓他公司化的體質要先做好 |
transcript.whisperx[279].start |
8194.716 |
transcript.whisperx[279].end |
8214.17 |
transcript.whisperx[279].text |
那二方面要有這個安全的經驗因為大家對於台鐵的安全的要求非常的高那所以就這兩點我們來思考說哪樣的人是適合的那我就特別拜託鄭董事長因為他在鐵道安全方面的經驗我相信高鐵大家都看得到他的成績 |
transcript.whisperx[280].start |
8215.271 |
transcript.whisperx[280].end |
8239.712 |
transcript.whisperx[280].text |
那另外針對這個專業經理人的部分跟公司化的部分我認為過去在高鐵的經驗或者是在長榮集團的經驗非常的豐富鄭董事長我所理解的話大概人生中大部分時間都是專業經理人那這個部分如果來帶領台鐵邁入公司化的第二年讓它更加企業化這個部分我認為鄭董事長是做得到的 |
transcript.whisperx[281].start |
8239.932 |
transcript.whisperx[281].end |
8265.235 |
transcript.whisperx[281].text |
好 這個部長簡單來說事實上是借中他的長財我們就是重用嘛是是這樣還是隨便是重用嗎報告員當然是重用這很重要喔因為台鐵這個部分問題是非常多台鐵第一他的問題比較複雜一些但是他的這個每天的運量接近70萬對國家來說這個運據大概是台灣目前最重要的所以這個重責大任好 那我請鄭董事長 |
transcript.whisperx[282].start |
8267.577 |
transcript.whisperx[282].end |
8293.594 |
transcript.whisperx[282].text |
這個聽到我們部長是這個整個重用那應該有重責大任那我覺得因為在台鐵我跟王一山委員我們都從桃園上車說真的我們對台鐵基本上也是比較肯定不管你的企業文化包括服務的品質跟準點當然快速就不用講你們的準點等等的我覺得這個你過去在這個高鐵都做得還不錯那你現在把經驗帶過來這個帶進來 |
transcript.whisperx[283].start |
8296.896 |
transcript.whisperx[283].end |
8313.616 |
transcript.whisperx[283].text |
那我要提醒你一件事啦待會你再幫我做個結論就算你要帶進來那你可以把你的從這個高鐵的經驗帶到台鐵來但是台鐵有很多的不同我們先講很多的不同幾個最重要的不同很簡單 |
transcript.whisperx[284].start |
8315.131 |
transcript.whisperx[284].end |
8333.1 |
transcript.whisperx[284].text |
台鐵的高鐵的主要車型基本上就是一款然後新款是車進來它基本上它就是一款的一個車型然後速度什麼都一樣那到了台鐵公司大概超過20種類型的車型有快有慢有載人有載貨 |
transcript.whisperx[285].start |
8334.361 |
transcript.whisperx[285].end |
8361.936 |
transcript.whisperx[285].text |
各式各樣的甚至有觀光的完全不同的速度它的功能所以這個部分是這是台鐵公司不一樣的地方第二個戰術你因為每一個戰術你都會有一個站長你知道地方這個人事管理負以重責的大任他在地方的這個諸侯他到底有沒有這個能力啊還是像台北車站我不知道為什麼會有這麼激動的員工我覺得你知道我在講什麼嗎我知道 |
transcript.whisperx[286].start |
8362.236 |
transcript.whisperx[286].end |
8383.055 |
transcript.whisperx[286].text |
我們現在就是這個游遊卡怎麼弄那個我覺得好可怕喔那我這個也不是重點有點歇斯底里啊為什麼這樣的人才在第一線我覺得很怪因為有些不適合第一線的也沒有問題嘛他可以把它放在比較幕僚的一個單位所以這個部分12站這是高鐵的 |
transcript.whisperx[287].start |
8384.366 |
transcript.whisperx[287].end |
8407.387 |
transcript.whisperx[287].text |
台鐵有242站 哇 將近超過20倍而且呢AAPC各種級的站完全不一樣所以我們希望真的提醒你然後平交道的數量 簡單來說高鐵就像如果說我們在 它是一個管制的道路不是地下化 就是高價化它基本上是一個管制的領域上在那邊開 |
transcript.whisperx[288].start |
8408.368 |
transcript.whisperx[288].end |
8435.603 |
transcript.whisperx[288].text |
所以除了那種很怪的事件發生之外它大概是一個封閉型的一個區塊可是你現在在換道了換道的一個是平交道全台灣有415個平交道有人會經過 有車會經過這不一樣的我希望你這邊把好的經驗 企業文化帶過來你要馬上知道有什麼不一樣那營業里程當然也差很多啦而且因為里程差很多的話代表 |
transcript.whisperx[289].start |
8436.523 |
transcript.whisperx[289].end |
8462.036 |
transcript.whisperx[289].text |
這個有些在山上地質有地震帶這個都是高鐵沒有的所以員工數大概也將近四倍你說一下好不好其實你在這裡有很多豐富的一個經驗但在台鐵又很多不一樣你大概有沒有一個重點說一下基本上我想到高鐵這邊到台鐵這邊最重要還是要讓安全還有準點 |
transcript.whisperx[290].start |
8462.976 |
transcript.whisperx[290].end |
8485.986 |
transcript.whisperx[290].text |
還有辯解這個事情你所需要的我們趕快做那安全裡面我們現在希望的是說現在譬如說我們去年發生了異常事件總共九百幾十一件我怎麼樣把這個九百一千分門背壘的然後能夠把它當下來我想這個是很重要就是對安全那這又怎麼樣呢譬如說這裡面剛才委員提到了這麼多的人你怎麼去我們現在分成 |
transcript.whisperx[291].start |
8487.006 |
transcript.whisperx[291].end |
8512.121 |
transcript.whisperx[291].text |
北 中 南 東四個區那這四區裡面我們裡面都有運物 有公務 有機務那這些人怎麼樣整合配合我們的運物配合我們的整個車輛我們整個台鐵裡面我們有三大主軸我們從七堵到潮州這西部走廊一條線然後我們又有南回從我們的左營到台東 |
transcript.whisperx[292].start |
8513.081 |
transcript.whisperx[292].end |
8541.916 |
transcript.whisperx[292].text |
那就是北回我們有從這個樹林一直到宜蘭花蓮到台東那這三個大動脈再加上一個很重要的我們現在在推展的區域的這個從台中到台北那這一部分的話那這個部分我們要用什麼車要花多少班次我們會用我們的這個OD pair好 曾董曾董今天你的報告我有從頭到尾從頭到尾我是真的給你建議有些不同的部分但是重點 |
transcript.whisperx[293].start |
8542.856 |
transcript.whisperx[293].end |
8559.012 |
transcript.whisperx[293].text |
你也知道人對了事情大概就對了七八成那現在的狀況剛剛看到最後這個高鐵大概4800多人大概人數到了台鐵人數大概將近四倍那這四倍不是數字的差別是裡面企業文化完全不一樣 |
transcript.whisperx[294].start |
8559.997 |
transcript.whisperx[294].end |
8583.63 |
transcript.whisperx[294].text |
一千一萬五千多人從公務體系移過去的就傳統的公務文化從選才育才用才留才你們是從民生企業的概念高鐵公司這裡完全不一樣現在移過去而且他高層的主管全部都是以前的公務人員好啦這是你要面對的挑戰接下來我們這個請施董事長 |
transcript.whisperx[295].start |
8586.884 |
transcript.whisperx[295].end |
8613.654 |
transcript.whisperx[295].text |
這樣的這個高鐵公司因為正好鄭董事長也在這這個台灣高鐵近年的營運旅客人數跟營運的績效我覺得大家都講KPI我們做多少努力最後不是在顯示在你的本業上面有多少人來坐車了有沒有增加有沒有減少他的營業額到底有沒有增加我覺得這個東西是一個指標性的這個部分那部長也在這裡部長 |
transcript.whisperx[296].start |
8614.654 |
transcript.whisperx[296].end |
8637.6 |
transcript.whisperx[296].text |
在這些年限中間其實你最多的時間是在做台中市議員所以我們在討論這個脈絡的時候我要跟董事長跟部長特別說因為鄭光英董事長不用說了他是經歷這十幾年的人各位看到104年105年因為奇怪他的人次向下面看才五千多萬人次 |
transcript.whisperx[297].start |
8640.465 |
transcript.whisperx[297].end |
8667.065 |
transcript.whisperx[297].text |
為什麼它的營業額這麼高因為那一年進行財改政府又投資了300億進來很多的業外收入在這邊呈現其他的部分都是跟旅客人數來成長所以經過了他們經過了大概104年、105年的一個大財改財務危機也謝謝當時這個我想你們後段都有參加那在整個經歷第二個經歷了疫情的挑戰 |
transcript.whisperx[298].start |
8668.388 |
transcript.whisperx[298].end |
8696.247 |
transcript.whisperx[298].text |
所以在很多的這個部分是他們的成績單先講他們這個整個拼了十幾年的成績單有沒有成果成果就是旅客比一百零三年增加百分之六三從四千八百零二萬到去年的七千八百多萬我覺得肯定我肯定那誰知的他的營業收入也增加了那我就想請教這個直接是施董事長 |
transcript.whisperx[299].start |
8697.648 |
transcript.whisperx[299].end |
8715.859 |
transcript.whisperx[299].text |
那你要在這個基礎上在這個肩膀上你還往哪去你主要的方向是什麼 重點好 謝謝委員非常精闢的分析我想做一個公司他每年當然對他的這個旅客的成長都是有預估的那我們像我們今年來講我們當然是因為疫情爆發的 |
transcript.whisperx[300].start |
8716.519 |
transcript.whisperx[300].end |
8732.493 |
transcript.whisperx[300].text |
之後我剛剛也報告裡面有講說它爆發的成長率有6% 7%但是到今年我們的預估的成長率是3點多所以它確實是有一個疫情之後爆發的趨緩所以你的特長可以帶來什麼可以帶來什麼成長你可以注入什麼因素 |
transcript.whisperx[301].start |
8733.533 |
transcript.whisperx[301].end |
8758.918 |
transcript.whisperx[301].text |
是 我想整體的綜合性的行政管理是接下來高鐵未來兩年我們在面對新車上路之前一個很重要的一個工作因為其實新車上路不只是行控系統的提升我們後勤 檢修 維修等體都要相關搭配我想這個是一個蠻龐大的工程才能夠讓它如期如止的上路而新車的加入才會是高鐵新的一個階段的發展 |
transcript.whisperx[302].start |
8760.165 |
transcript.whisperx[302].end |
8781.85 |
transcript.whisperx[302].text |
老師 董事長你講這個的 剛剛講的這幾個項目剛好都不是部長在透過了媒體電視來說你的特長的這個部分他已經說其實公務背景就有總經理來挺然後大概你就主要行銷方面很多的一個文化行銷特色你剛剛沒有講這個部分我只是跟你建議 |
transcript.whisperx[303].start |
8782.93 |
transcript.whisperx[303].end |
8800.658 |
transcript.whisperx[303].text |
如果這個沒有變成KPI值就是弄完之後明年還比較少了這是我們檢驗你我們先未來檢驗你這個方向在這裡因為畢竟不是我一位委員說包括天下雜誌很多媒體很多民眾甚至交通業的軌道的一個專家都在擔心一件事 |
transcript.whisperx[304].start |
8801.298 |
transcript.whisperx[304].end |
8824.983 |
transcript.whisperx[304].text |
在過去你的整個從政的一個經歷至少八到九成是文科的啦跟公務的接觸比較少一點看過你做過新聞處長文化這個局長也做過文化部長很多這個部分我們知道文化類你是很強我們也希望你注入這個讓高鐵透過這個領域再往上面成長這個是大家的擔心但是我要提醒你 |
transcript.whisperx[305].start |
8825.763 |
transcript.whisperx[305].end |
8847.879 |
transcript.whisperx[305].text |
那這個部長你來回答一下好不好你說重用鄭董事長其實鄭董事長說真的為了國家可能付出一輩子就是我一毛錢不要也可以我也聽過這樣的人可是你知道嗎在這個社會去評價一個人尤其在公務體系的時候有很多包括成就感我理解包括頭銜 |
transcript.whisperx[306].start |
8849.881 |
transcript.whisperx[306].end |
8863.292 |
transcript.whisperx[306].text |
但是薪水你知道嗎是他他老婆最care的他家庭很care我覺得這是一個指標嘛剛剛講了這麼多比較沒有經驗的來去努力一下但非常努力的結果現在 |
transcript.whisperx[307].start |
8864.284 |
transcript.whisperx[307].end |
8889.952 |
transcript.whisperx[307].text |
平均的月薪我們是拿江董事長過去8年包括疫情時間可以領到660萬所以最低55萬月薪加獎金整個因為我們儲蓄總署也是這樣的規劃所以儲蓄總署每年公布什麼最低薪資5萬我們都嚇一跳他是不管把夯不啷啷全部弄在一起你現在直接如果沒有修改任何一個規定的話大概可以領到50到70萬看當年的一個業績 |
transcript.whisperx[308].start |
8893.976 |
transcript.whisperx[308].end |
8910.457 |
transcript.whisperx[308].text |
那但是可以很明確的台鐵董事長啊台鐵董事長因為兩邊都是我們都有看到你們一個報表嘛他大概就22萬到25萬所以說現在兩個董事長啊你重責大任重用他重用他的薪水大概降2.5倍 |
transcript.whisperx[309].start |
8912.042 |
transcript.whisperx[309].end |
8929.693 |
transcript.whisperx[309].text |
大概兩倍以上那所以我也不要比這個誰好誰壞你知道嗎我是不是能夠你們告訴我你告訴我你拿這麼多錢這麼多的一個金額我為什麼肯定之前江董跟我們鄭總為什麼你拼了十年我看到了 |
transcript.whisperx[310].start |
8930.646 |
transcript.whisperx[310].end |
8952.43 |
transcript.whisperx[310].text |
他從4800多萬人一年拼到了7000我肯定嘛你有拼起來所以你今天來要把過去10年每一年可以多頂幾百萬的業績獎金你要順便拿到口袋走的時候你要告訴我你要告訴我這兩個KPI你要把高鐵公司帶到哪裡去如果都沒有都沒有 |
transcript.whisperx[311].start |
8953.8 |
transcript.whisperx[311].end |
8978.623 |
transcript.whisperx[311].text |
都沒有我跟你講這個部長如果都沒有如果都沒有的話到最後壓力就是你們了所以我想施董事長是不是這樣好不好你能不能回去考慮一下直接承諾一下啦人剛到新生入學你如果光領董事長的薪資啊也高於這個高於那個台鐵董事長就是說今年的獎金都不領好不好好好做 |
transcript.whisperx[312].start |
8979.624 |
transcript.whisperx[312].end |
9001.897 |
transcript.whisperx[312].text |
我們在這個基礎上面 成績單出來只要有超過一個人 你再來領今天不知道王委員會不會見 總是要拚出來嘛這個可不可以啊要不要期許一下不要啦 我要他講啦 給他講 我還是給他講石董是吧可不可以 這個今年的獎金不領可不可以因為你才剛上任嘛 大家質疑你標準都一致的 |
transcript.whisperx[313].start |
9007.719 |
transcript.whisperx[313].end |
9027.675 |
transcript.whisperx[313].text |
來 謝謝委員 我想有關於KPI的部分交通部事實上對於交通部所屬的事業單位都有訂定PAPI也是依照這個KPI來決定績效獎金發放的等級剛剛您上面的數字應該不是交通部現在核定的這個薪資酬勞的金額所以我想這個資資本來就你現在薪資核定的金額一個月多少 |
transcript.whisperx[314].start |
9028.475 |
transcript.whisperx[314].end |
9053.295 |
transcript.whisperx[314].text |
坦白講應該是不到40萬不到40萬獎金呢獎金就是要依照年終的這個來報來看啦好啦好謝謝啦我跟你講上面你寫那麼清楚了嗎還要倒回來看嗎薪資加獎金嘛加獎金嘛那你獎金是不是過去拚的因為人次以營業額來算這是過去別人拚了10年的結果拚的人就在你左後方啊 |
transcript.whisperx[315].start |
9054.216 |
transcript.whisperx[315].end |
9076.606 |
transcript.whisperx[315].text |
就在你左後方啊你要不要獎金先不領嘛拚一年再說嘛夠小卡好嘛就這樣而已啊那一個月40萬還不夠嗎一定的規定都是照規定在走的我知道啦他是上市櫃公司他有一定的公司你不要說我沒有經驗一站就是站一個月領50萬60萬的嘛你讓民眾啊我跟你講我今天講不是我的問題你們自己去好好考謝謝 |
transcript.whisperx[316].start |
9078.564 |
transcript.whisperx[316].end |
9107.14 |
transcript.whisperx[316].text |
好 謝謝魯明哲委員的執行現在請洪孟楷委員執行洪孟楷委員執行完畢休息十分鐘主席謝謝 麻煩請陳部長我們陳董事長還有我們鐵道局楊局長好 鐵道局楊局長兩位董事長還沒有正董事長正董事長 |
transcript.whisperx[317].start |
9110.097 |
transcript.whisperx[317].end |
9139.187 |
transcript.whisperx[317].text |
委員好 好 部長好 來 鄭董事長跟鐵道局局長 來 請來 鄭董事長 我先請教一下本來以為說要幫你點播一首陶金營的太委屈啊那當然你今天早上又說不委屈啊那 大家說好話啦 新官上任齁 做一做啦但是 我想先請教 十年的高鐵人可不可以講一下說 你覺得現在的新任的石董事長你覺得有哪裡是比你更優質的地方 |
transcript.whisperx[318].start |
9140.556 |
transcript.whisperx[318].end |
9166.616 |
transcript.whisperx[318].text |
讓你覺得是說可以勝任高鐵的這個董事長工作我想這個對這部分我沒有評論沒有評論我想石董事長他那部長在找您就說要從高鐵轉換台鐵的時候你那時候有沒有問過說誰來接高鐵我並沒有這樣的也沒有問也不知道說誰來接高鐵反正部長找你是部長跟您談 |
transcript.whisperx[319].start |
9167.745 |
transcript.whisperx[319].end |
9192.128 |
transcript.whisperx[319].text |
是的部長跟你談就是說你雖然今年一月才從十年的總經理扶正變成董事長但是現在要你去接台鐵燙手三欲確實是部長有跟我講這樣的事情然後你也沒有問說那到底誰來接高鐵我沒有問沒有問那現在揭曉了你也不覺得有任何的奇怪 |
transcript.whisperx[320].start |
9192.847 |
transcript.whisperx[320].end |
9217.055 |
transcript.whisperx[320].text |
我想重點是這樣來過來也不會重點是說我被這個指派的這個任務呢我是不是有能力去做這個事情好董事長我非常肯定您過去的專業我也認為說您現在願意來台鐵這個是要把台鐵整頓好台鐵我們很期待所以你提到三個部分安全準點以及便捷 |
transcript.whisperx[321].start |
9217.655 |
transcript.whisperx[321].end |
9239.394 |
transcript.whisperx[321].text |
這一點本期肯定 但要怎麼做來 先請教現在台鐵也是有多事之秋啦不管是現在漲價的部分 或者是說站務員對旅客咆哮還是說其實更多是很多的乘客有一些乘客真的會有攻擊站務員的狀況這也過去時有所聞嘛 對不對那你要怎麼樣來做 |
transcript.whisperx[322].start |
9241.78 |
transcript.whisperx[322].end |
9266.758 |
transcript.whisperx[322].text |
會讓台鐵人覺得你可以真真正正跟台鐵人站在一起並且保護台鐵人我想最重要的成果我剛才也報告這個一定要告訴我們的所有的員工我們是做的是運輸服務業那運輸服務業最重要的是要旅客的需求為導向旅客最重要的就是安全嘛最重要的就是準點嘛那就方便便捷嘛 |
transcript.whisperx[323].start |
9267.378 |
transcript.whisperx[323].end |
9296.301 |
transcript.whisperx[323].text |
那在這個部分的話呢我們一定要努力來做那但是呢這個所有事情要做成一定是要員工來做的我也認為要有一個滿意的顧客的話一定要先有一個快樂的員工所以在快樂的員工之下呢我要一定要很care我的員工呢他是不是能夠足夠的安心所以他的福利這些呢是我要努力的一個重點福利努力的部分我有看到你上禮拜有跟台鐵工會有先做過座談了是那 |
transcript.whisperx[324].start |
9296.841 |
transcript.whisperx[324].end |
9321.446 |
transcript.whisperx[324].text |
是企業工會嘛對不對企業工會是那產業工會有沒有考慮要做談我想我們來看因為目前來看我們先從企業工會來所以產業工會還沒有安排目前還沒有好那各地咧各地的員工因為看到你們秀出的資料也是幾位代表嘛那各地的員工有沒有現在要去做一個整個來去做了解 |
transcript.whisperx[325].start |
9321.886 |
transcript.whisperx[325].end |
9349.427 |
transcript.whisperx[325].text |
有的 我們陸續的會 計畫是什麼陸續的會到各區去像我上禮拜的話呢第三 第三天的話上週第三我就到那個台東去那台東去那邊的話就是有來自於各地的我們這個壘球隊的代表那事實上也是代表著整個我們全國代表你現在是行動治理嘛來 那請教那個工會這邊有提出來說希望能夠提高待遇的部分你怎麼看 |
transcript.whisperx[326].start |
9350.356 |
transcript.whisperx[326].end |
9366.783 |
transcript.whisperx[326].text |
我想他提出來的這部分的話有兩個我想我們馬上可以來處理的一個就是我們的這個夜間津貼的部分我覺得這個確實這個夜間津貼一個小時120塊其實太低了是那這部分還遠低於現在10星 |
transcript.whisperx[327].start |
9367.563 |
transcript.whisperx[327].end |
9386.29 |
transcript.whisperx[327].text |
是因為整個十幾年前訂的嘛那第二個呢就是我們的這個主管的加擠這一部分我覺得主管加擠這一部分現在也是跟市場的這個行情差太多所以我這兩部分的話呢那員工的話這個尤其在基層的這個夜間今天能夠安他們的心 |
transcript.whisperx[328].start |
9386.75 |
transcript.whisperx[328].end |
9402.092 |
transcript.whisperx[328].text |
另外在這個主管津貼的話最主要是我們尤其是中間幹部他們很需要這個津貼來鼓勵他們否則的話像我們現在一個問題就是說我們有90%的員工還是原來的所謂的有公務員資格的 |
transcript.whisperx[329].start |
9403.294 |
transcript.whisperx[329].end |
9418.973 |
transcript.whisperx[329].text |
但是只有新人的話轉正只有10%那這個10%跟這個裡面的話你一定要有一個激勵的作用那麼才能夠抓住他們的心我認為說一定要把我們的我這個內部各個就是我們的員工能夠把他們的整個環境 |
transcript.whisperx[330].start |
9421.917 |
transcript.whisperx[330].end |
9444.773 |
transcript.whisperx[330].text |
工資的是友善職場做好以後讓員工能夠得到說這個公司是很care我們的那他才能夠服務旅客是啊 董事長 但是你講了半天你還是沒有講清楚這個夜間加急跟這個津貼120元要怎麼調整我們現在提出來 多久能夠調整我們現在再提出來 也跟公費這邊再討論這個我們會盡快的來定案標準是什麼 |
transcript.whisperx[331].start |
9450.502 |
transcript.whisperx[331].end |
9469.83 |
transcript.whisperx[331].text |
標準就是我希望至少就是說我們的物價指數十年來這個物價指數應該是最合理的最低的門檻讓我們用這樣來做過去我知道我們要增加薪水的時候用人費用跟我們的營收的占比有一個上限在那邊 |
transcript.whisperx[332].start |
9470.53 |
transcript.whisperx[332].end |
9490.47 |
transcript.whisperx[332].text |
這是我們的handicap但是因為今年開始我們調整票價以後我們平均收的話我們分母變大了所以我們這個上限就會有空間好 本席也正想問因為才剛調整完票價不會因為這個夜間的加急以及津貼再調整之後又要再調整票價不會啦不會不會啦 這你保證啦好 |
transcript.whisperx[333].start |
9491.69 |
transcript.whisperx[333].end |
9506.509 |
transcript.whisperx[333].text |
台鐵的管理我們給時間但是要看到成績便捷安全跟準點最基本的要求這一點不過分所以拜託鄭董事長這邊一定要說到做到我全力以赴 |
transcript.whisperx[334].start |
9507.33 |
transcript.whisperx[334].end |
9530.29 |
transcript.whisperx[334].text |
來抱歉部長時間比較有限但是還是兩個問題跟我們地方有相關我一定要跟您就教雙城巴士上國道這個部分是本席過去一起爭取很久從去年前年我想質詢的時候你也承諾那現在已經有曙光是說預計今年年底會上路有可能那但是雙城巴士的部分造價比較高一台可能將近兩千萬 |
transcript.whisperx[335].start |
9531.331 |
transcript.whisperx[335].end |
9556.046 |
transcript.whisperx[335].text |
那有些業者開始在講是說那現在是不是比照現行巴士也有補貼的部分來做一些相關補貼我們有沒有相關辦法報告委員我們公共運輸計畫裡面會放進來是所以這個部分的補貼我們會盡量來協助業者因為我現在也有聽到業者在反映對這個政策即便是上路了他們的成本是個問題那另外就是說但是未來可以再我們想說 |
transcript.whisperx[336].start |
9557.424 |
transcript.whisperx[336].end |
9579.567 |
transcript.whisperx[336].text |
優勢是大於劣勢嘛第一載的量乘客人數多大家可以上車的多也減少車體的空間所以說對於國道的通暢度減能減碳碳排也會降低所以這個政策我們是支持而且我們在往前推進那委員在關心的這個對業者的補助的部分我們的供應計畫裡面也都會來提供補助 |
transcript.whisperx[337].start |
9579.827 |
transcript.whisperx[337].end |
9606.103 |
transcript.whisperx[337].text |
不要說到最後過了可以上路了可是一直一台都沒看到因為太貴了買不起這個部分我會盡量來協助不過到底要不要買車還是由業者來決定是 但我們的補助辦法會在今年年底上路之前一起出來這個會同步因為它是公共運輸嘛那公共運輸的部分我們該有的補助都會有好 但至少是跟現行的巴士一般巴士的補助的比例是一致的這個部分我們會來討論來 部長另外再請教 |
transcript.whisperx[338].start |
9609.545 |
transcript.whisperx[338].end |
9623.457 |
transcript.whisperx[338].text |
本席的選區以及橫跨整個新北市的太阪輕軌最近第四次可行性評估被推薦第四次它橫跨的是泰山新莊板橋土城中和 |
transcript.whisperx[339].start |
9624.266 |
transcript.whisperx[339].end |
9646.744 |
transcript.whisperx[339].text |
其實這幾個地方都是光聽名稱地名就是人口密集的地方那第四次可行性評估退回去年本席在請教跟質詢的時候就已經有要求說是不是承諾一個月內匯集相關的審查單位我們跟新北市政府也講清楚到底現在評審委員關心care的點是哪一些一次讓新北市政府補齊啊 |
transcript.whisperx[340].start |
9647.745 |
transcript.whisperx[340].end |
9662.547 |
transcript.whisperx[340].text |
可是這一次的推薦理由上一次推薦理由是說跟六四線太近影響六四的維修補強主要理由這一次又說要請新北市在舊土地開發效應納入附屬的事業收入一律 |
transcript.whisperx[341].start |
9663.803 |
transcript.whisperx[341].end |
9678.33 |
transcript.whisperx[341].text |
那這理由就又不一致啦上一次是說維修困難這一次是說這個效益太低或是說收入可能不符合支出你不能把周邊土地開發給納入但是其他的軌道建設有沒有這樣的一個評估其實也都有嘛 |
transcript.whisperx[342].start |
9679.17 |
transcript.whisperx[342].end |
9707.447 |
transcript.whisperx[342].text |
所有的軌道運輸這些評估都放在同步啦那也跟委員報告一下有一個資訊就是說我們針對土地開發效益還有它的附屬事業的收入的這個疑慮在最早的時候就已經有提出不是這一次才提出最早的時候就已經有提出那這幾次的修訂的過程當中應該是新北市政府那邊針對這一項它的說明跟它的這個修正做得還不足所以這一次我們又再提出了一次 |
transcript.whisperx[343].start |
9708.047 |
transcript.whisperx[343].end |
9729.006 |
transcript.whisperx[343].text |
是那但是我本席在講的是說這一些都是通盤的部分是是那本來一個軌道的建設整個市的開發大眾的使用運輸的狀況我們都需要大家來做一個討論嘛對沒錯那所以說本席才上一次才會講是說是不是請匯集各單位到底你最care點是哪一點 |
transcript.whisperx[344].start |
9729.907 |
transcript.whisperx[344].end |
9739.037 |
transcript.whisperx[344].text |
那現在本席先確認因為你也講部長你也講說從第一次就有土地效益的部分那一直到這第四次所以現在土地效益是最大的問題 |
transcript.whisperx[345].start |
9740.33 |
transcript.whisperx[345].end |
9764.198 |
transcript.whisperx[345].text |
收入就是運量的收入跟土地效益不能劃等號就不要混為一談那如果說能夠克服這一點是不是其他部分就沒有問題目前你不能第三次的時候跟我們講是說是因為64線太近影響64線的維修補強我想每一次的修正的這個提出的問題不會不會只有一個應該是好幾個啦是部長這就是 |
transcript.whisperx[346].start |
9765.979 |
transcript.whisperx[346].end |
9787.546 |
transcript.whisperx[346].text |
我們現在要一直歸納嘛我們現在期待的是說當地方政府送給中央政府來審議的時候我們希望是一直歸納問題而不是第三次的時候說這個六四的維修的問題就第四次退回的時候又說土地的問題那每一次都東跳一個西跳一個那永遠沒有辦法那無怪乎地方會認為是說明明有那麼多行經 |
transcript.whisperx[347].start |
9788.786 |
transcript.whisperx[347].end |
9804.015 |
transcript.whisperx[347].text |
新莊、土城、板橋、泰山、中和這一些大家都期待的軌道建設結果卻因為一而再再而三被鐵道局這邊退回報告委員重點是在於該修正的單位要修正到完整 |
transcript.whisperx[348].start |
9804.835 |
transcript.whisperx[348].end |
9823.543 |
transcript.whisperx[348].text |
不會是鐵道局的問題鐵道局負責提問題所以我們才會再講是說 部長所以我們才會再講是說請讓我們一次的討論讓大家能夠來聚焦到底你的考題現在著重的點在哪邊嗎這個考題從第一次就已經提出來了他們到現在還沒答對部長來 部長 |
transcript.whisperx[349].start |
9826.15 |
transcript.whisperx[349].end |
9840.747 |
transcript.whisperx[349].text |
本席今天站在這邊是希望反映大家的心聲因為看到真的這不只是本席的選區這席包括韓瓜很多其實您之前在台中市政府當議員的時候也為台中的軌道來做努力 |
transcript.whisperx[350].start |
9841.808 |
transcript.whisperx[350].end |
9869.087 |
transcript.whisperx[350].text |
當時也希望是中央不分朝野不分藍綠大家共同的一起面對軌道建設所以我們才會希望在去年的時候我是不是在這裡有去年的時候要求說希望能夠鐵道局找相關部會能夠一次的做討論來把問題釐清讓新北市府能夠來做一個完整的一個說明對 這個都有來現在新北市府會最快的速度也說九月會再送件那針對這部分鐵道局長還有沒有什麼話說 |
transcript.whisperx[351].start |
9870.463 |
transcript.whisperx[351].end |
9893.539 |
transcript.whisperx[351].text |
謝謝委員 委員去年特別是有質詢也只是希望我親自來召開這個會議那當時我也開了那現在所講的這些問題其實在當時都跟新北市政府有做過溝通那我們極度的希望新北市政府的修正報告能夠把這個土地開發效益因為所有全國的計畫土地開發效益都是納為自償性經費而不是納為未來營運期間的一種收入 |
transcript.whisperx[352].start |
9895.76 |
transcript.whisperx[352].end |
9920.648 |
transcript.whisperx[352].text |
那因為這樣子的一個做法應該是新北市政府是首例啦那因為此例一開的話會影響到所有捷運計畫的一種所謂審議上面的公平性所以這題我們是真的希望新北市政府能夠這個按照我們的這樣的一個期望去做修正那我們會盡速來協助這個案子往下一個程序來進行好 兩方部分都要一起努力但最重要的是地方的需求要被重視 |
transcript.whisperx[353].start |
9921.488 |
transcript.whisperx[353].end |
9944.669 |
transcript.whisperx[353].text |
所以這也是為什麼如果說中央部會有很明確的講清楚那新北市府也要很明確的回答兩方來聚焦才不會讓地方一直有期待是說奇怪怎麼會一而再再而三被推薦那我們在中間扮演的就是一個溝通協調的角色就是希望讓兩方可以持續的把問題點給釐清清楚了才能夠往下走嘛是的 |
transcript.whisperx[354].start |
9945.449 |
transcript.whisperx[354].end |
9969.288 |
transcript.whisperx[354].text |
這個部分是不是請鐵道局長也再讓我們知道是說上一次開會的一個內容是好不好那我們這邊該要求新北市府再繼續送件我們一定會要求跟督促我們再跟委員報告這都是地方民眾大家共同的期待我們再跟委員報告好 謝謝謝謝委員好 謝謝洪孟愷委員現在休息十分鐘媒體朋友可以自由應用 |
transcript.whisperx[355].start |
9979.537 |
transcript.whisperx[355].end |
9981.038 |
transcript.whisperx[355].text |
谢谢大家 |
transcript.whisperx[356].start |
10599.881 |
transcript.whisperx[356].end |
10621.213 |
transcript.whisperx[356].text |
好各位請坐因為我們今天登記的花園委員算蠻多的所以拜託除了本會委員那如果其他委員的話盡量遵守時間盡量遵守時間好現在請我們繼續開會請林俊炫委員執行 |
transcript.whisperx[357].start |
10634.4 |
transcript.whisperx[357].end |
10659.969 |
transcript.whisperx[357].text |
好 感謝主席本席邀請我們交通部陳部長好 交通部陳部長還有我們高鐵石董事長好 高鐵石董事長石董事長委員好部長好 董事長好跟大家討論一下我要特別提出我們高鐵台南站的問題 |
transcript.whisperx[358].start |
10661.684 |
transcript.whisperx[358].end |
10687.117 |
transcript.whisperx[358].text |
大家知道現在高鐵在台灣各站運量增加幅度最多的就是進出站的人數成長最多的台南不是排第一就是排第二以去年來講2024年高鐵進站出站人數的成長比例台南都第二 |
transcript.whisperx[359].start |
10688.718 |
transcript.whisperx[359].end |
10715.697 |
transcript.whisperx[359].text |
在前一年高鐵到站人數成長最多就是台南所以台南一年現在進出站人數大概有破千萬增加非常快速這當中主要因為台南這幾年產業發展非常快速現在除了有南科以外而且南科已經成長到產值遠遠超過竹科 |
transcript.whisperx[360].start |
10717.315 |
transcript.whisperx[360].end |
10742.994 |
transcript.whisperx[360].text |
那在接下來台南還會更發展這個現在國家在我們高鐵特區就我們台南站周邊的高鐵特區現在的科學園區也確定設立目前為止就有相當多的單位進駐在我們高鐵特區 |
transcript.whisperx[361].start |
10745.476 |
transcript.whisperx[361].end |
10763.443 |
transcript.whisperx[361].text |
甚至有很多的商業設施、公共設施、住宅區我們大台南會展中心、產業研發專區、資策會的資安和智慧科技的研發大樓綠能科技示範場域、中研院的南部院區 |
transcript.whisperx[362].start |
10764.864 |
transcript.whisperx[362].end |
10790.825 |
transcript.whisperx[362].text |
還有沙崙醫療服務創新園區台灣智慧駕駛實驗室 這我們交通部的單位啦還有台灣智慧綠能循環的住宅園區啦像澳內啦 甚至有陽明交大 都在這附近那未來啊 會更發展啦因為媒體的報導啊南科市集也是設在這個地方 也設在高鐵特區 |
transcript.whisperx[363].start |
10793.023 |
transcript.whisperx[363].end |
10806.411 |
transcript.whisperx[363].text |
預計台積電將會進駐那台積電光是它的廠區就至少用地需求500公頃那未來整個園區的從業人數將會從目前的1萬人漸減到10萬人所以高鐵附近周邊甚至在高鐵就在這個園區裡面 |
transcript.whisperx[364].start |
10820.064 |
transcript.whisperx[364].end |
10847.93 |
transcript.whisperx[364].text |
這會是全世界最重要的半導體高科技生產園區國家最重要的尖端各項科技的研發園區都在這個地方所以高鐵台南站會成為台南甚至世界的門戶因為我們的科技廠商會有很多的往來來自世界各地的這種商務互相的交流等等 |
transcript.whisperx[365].start |
10849.522 |
transcript.whisperx[365].end |
10872.44 |
transcript.whisperx[365].text |
所以啊我們也發現了高鐵站的台南站現在完全不服使用保證我特別要請我們董事長 施董事長要來了解這個問題你現在剛上任我希望你要注意到第一個啊你目前的高鐵的量體像 |
transcript.whisperx[366].start |
10875.66 |
transcript.whisperx[366].end |
10893.272 |
transcript.whisperx[366].text |
我來比較一下六都啦六都的高鐵站就台南最小台南小到台南跟嘉義高鐵站是1比1啦就一樣大小所以台南的高鐵站不是一個直轄式規格的一個設計 |
transcript.whisperx[367].start |
10895.305 |
transcript.whisperx[367].end |
10923.06 |
transcript.whisperx[367].text |
那用量我實在說已經幾乎快要爆掉了你看桃園桃園的進駐站人數是台南1.8倍桃園在機場裡他一年前八萬出入台南一千萬是台南1.8倍但他樓地板面積是台南的3.4倍桃園站 台南站底他的人出入台南的1.8倍但桃園站 |
transcript.whisperx[368].start |
10924.158 |
transcript.whisperx[368].end |
10928.643 |
transcript.whisperx[368].text |
臺中進出人數是臺南人2.5倍但臺中的戰體面積是臺南的4倍 4倍大你再來看左營 |
transcript.whisperx[369].start |
10947.438 |
transcript.whisperx[369].end |
10974.426 |
transcript.whisperx[369].text |
中央出入人數是台南的兩倍啦但他的左營暫停喔 也台南的2.5倍啦好 就算跟嘉義來比啦來啦 董事長啊嘉義一年六百幾百人出入啦 台南破一千萬台南進駐站人數喔 一年比嘉義多四百多萬但是台南的暫停跟嘉義一樣大欸 你一年多四百幾百人出入喔啊你自己的站到嘉義變大 |
transcript.whisperx[370].start |
10976.507 |
transcript.whisperx[370].end |
11001.034 |
transcript.whisperx[370].text |
給4票基本人會造成什麼狀況第一個 公共設施嚴重不足台南站 上下月台 只有一個守護梯 一上一下我們再來看公設設施 台灣有2座 台中4座如果整個守護梯給大家看 桃園12 台中10 台南只有6 左營有20 |
transcript.whisperx[371].start |
11005.362 |
transcript.whisperx[371].end |
11028.102 |
transcript.whisperx[371].text |
對不對 我們說扁手啦高鐵站啦 你要看到從廁所裡面排到外面像台南站你看得到啦那扁手完全不夠用喔我沒看到有扁手在裡面排的可能有啦 排到外面來這很難看啦連廁所使用都嚴重的不足啦 |
transcript.whisperx[372].start |
11029.977 |
transcript.whisperx[372].end |
11053.023 |
transcript.whisperx[372].text |
尤其未來 像我說的 如果你南哥市集台積電來 周邊廠商也來那個用地 光產業使用面積大概就將近一千公頃十萬個人 你的站體絕對會爆掉所以我希望高鐵要超前部署萬一像施董事長 你要注意到這個事情 |
transcript.whisperx[373].start |
11054.011 |
transcript.whisperx[373].end |
11073.023 |
transcript.whisperx[373].text |
那一樣我們的門戶世界最重要的高科技門戶就在台南使用一定是高鐵為優先那這樣沒有辦法你以前把附近蓋那麼小還可以體諒因為你涉戰當時台南可能還不是直轄市 |
transcript.whisperx[374].start |
11074.642 |
transcript.whisperx[374].end |
11101.867 |
transcript.whisperx[374].text |
所以那個地方 當地的地方叫蘇阿倫啦聽這個名字就知道大概比較偏遠的地方啦是不是那你知道高鐵站旁邊有一個很特殊的單位台南監獄你知道嗎隔地上的旁邊有一個台南監獄啊我看在座幾乎沒有人知道台南監獄車程如果開車到台南高鐵站喔差不多兩分鐘就到了旁邊有設一個高鐵站啦 |
transcript.whisperx[375].start |
11104.585 |
transcript.whisperx[375].end |
11112.31 |
transcript.whisperx[375].text |
那台南監獄設在那個地方叫什麼叫台地處啦你知道看那以前多偏僻以前高齡戰陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣陣 |
transcript.whisperx[376].start |
11133.308 |
transcript.whisperx[376].end |
11146.898 |
transcript.whisperx[376].text |
所以我認為台南站有必要要擴展你一定要把它擴充至少以目前的公設 廁所 上架手扶梯 電扶梯都嚴重的不足我們請兩位發表一下意見 |
transcript.whisperx[377].start |
11150.53 |
transcript.whisperx[377].end |
11176.042 |
transcript.whisperx[377].text |
好 報告委員目前委員所提到的這個基礎設施的不足先不要講面積啦基礎設施的不足這個部分可能我會請高鐵公司趕快做研究我想石董事長也都有掌握這個部分我們先來做研究那第二就是暫體的擴大的部分這個部分要跟台南市政府大家也來討論因為它當時的督設省的部分有沒有一些限制那該怎麼去解套我覺得現在是值得討論的時候了啦 |
transcript.whisperx[378].start |
11177.443 |
transcript.whisperx[378].end |
11199.732 |
transcript.whisperx[378].text |
像委員所說的人已經這麼多了我們現在有發現幾個站包含新竹站也大概有類似的問題當時的規劃跟現在實際的用量其實有些落差那當時國家在設定高鐵的時候也不知道人數會這麼多也跟委員報告未來台南只會更多人只會更多所以我們要提早來因應那這個部分石董事長應該也都有掌握是不是請石董事長來說明一下 |
transcript.whisperx[379].start |
11201.092 |
transcript.whisperx[379].end |
11227.635 |
transcript.whisperx[379].text |
謝謝委員我想這個今天沙崙能夠發展成這樣子的一個值日可待而且大家羨慕的未來事實上跟高鐵扮演一個人才流通力很重要的因素但是它的發展超乎我們的預期所以委員在提示之後我們也來逐步來檢討我想可能要分短中長來處理短期的部分可能就是委員特別提到比如像廁所啦暫停的基本服務我覺得應該要跟上這個我們來想辦法 |
transcript.whisperx[380].start |
11228.075 |
transcript.whisperx[380].end |
11248.914 |
transcript.whisperx[380].text |
那中層的部分可能我們要來跟台南都市計畫的部分要來合作增加樓立板面積這才有可能增加它的整個服務的機能那長遠的話當然就是委員剛講到達成一個10萬人的就業人口的時候那可能就是一個另外整個新的所以我們希望能夠超前部署現在就應該要開始規劃未來好不好是 謝謝好 那謝謝部長也謝謝董事長謝謝委員 |
transcript.whisperx[381].start |
11252.998 |
transcript.whisperx[381].end |
11259.059 |
transcript.whisperx[381].text |
好 謝謝林俊炫委員的執行現在請蔡其昌副院長執行謝謝主席請陳部長跟鄭董事長好 來 陳部長台鐵鄭董事長 |
transcript.whisperx[382].start |
11282.847 |
transcript.whisperx[382].end |
11300.598 |
transcript.whisperx[382].text |
委員好 部長早 鄭董事長早安鄭董事長是新上任 跟石澤董事長是一起上任董事長鄭董事長我覺得好像部長比較器重你這個台鐵 |
transcript.whisperx[383].start |
11302.937 |
transcript.whisperx[383].end |
11323.139 |
transcript.whisperx[383].text |
問題比較多所以看起來部長應該是更器重你比史哲董事長所以才會任命你擔任那個比較艱困工作的董事長你有沒有這樣的感覺台鐵的系統確實相對高鐵是比較複雜一點對很複雜部長那個部長知道很複雜董事長你有沒有做好準備 |
transcript.whisperx[384].start |
11325.049 |
transcript.whisperx[384].end |
11335.758 |
transcript.whisperx[384].text |
你有沒有想說把高鐵很多比較好的制度或者是好的管理能夠把它帶到台鐵去 |
transcript.whisperx[385].start |
11336.232 |
transcript.whisperx[385].end |
11355.219 |
transcript.whisperx[385].text |
是的 我也朝這個方向那我舉一些例子台鐵的問題很多啦如果你有在關注立法院對台鐵的監督你就可以知道這個委員的意見是相當的多啦我舉幾個例子第一個我們來看一下你們那個台鐵的那個閘門 |
transcript.whisperx[386].start |
11359.666 |
transcript.whisperx[386].end |
11384.592 |
transcript.whisperx[386].text |
這個閘門這個是我個人認為是要有相當智慧的旅客才有辦法使用的閘門這個閘門舊式的最早的那個票投進去往前走會跳出來那個那個叫備詞就背後有詞詞帖那個備詞車票那個口還在那董事長你知道這個票台帖現在還賣不賣 |
transcript.whisperx[387].start |
11387.049 |
transcript.whisperx[387].end |
11413.766 |
transcript.whisperx[387].text |
現在我們已經都改成QR Code了對 這個已經沒有這種票了 是的但那個還在啦但沒關係他就留著反正他可能是一個紀念吧或者是你們有什麼歷史情懷我們意見啦那第二個我們有QR Code的掃描位置是第三個我們有悠遊卡一卡通包括我們交通部T Pass感應的位置那個董事長知道啦我知道 好 |
transcript.whisperx[388].start |
11414.571 |
transcript.whisperx[388].end |
11434.608 |
transcript.whisperx[388].text |
那這三者之間啊這個對旅客來講很複雜譬如說像我們長期坐高鐵的人而言我們就會到現場的時候要感應的時候會兩個位置常常不一定會感應對嘛因為此卡的位置跟QR Code的位置是不同的董事長這些 |
transcript.whisperx[389].start |
11437.711 |
transcript.whisperx[389].end |
11457.027 |
transcript.whisperx[389].text |
我知道你們好像有發新的這個計畫要不要先說明一下讓所有大家知道說像這種門面要開始搭乘台鐵的這個列車的時候這個入口的門面的這個感覺我們什麼時候這個計畫大概要怎麼做 |
transcript.whisperx[390].start |
11459.011 |
transcript.whisperx[390].end |
11483.355 |
transcript.whisperx[390].text |
所以這樣的一個QR Code的宣傳確實我們要強化那也會用圖案告訴我們的旅客但是最重要的我們可能要告訴我們所有的站務人員那麼怎麼樣來在最短的時間解釋給我們的旅客來做對 短期還沒有改之前可以請站務同仁解釋但是 |
transcript.whisperx[391].start |
11484.605 |
transcript.whisperx[391].end |
11498.57 |
transcript.whisperx[391].text |
你們應該在更換整個系統上面我看到好像我們有決定要分批來更換要 117年以前整個換裝完畢明年開始換嗎 還是今年開始換 |
transcript.whisperx[392].start |
11500.811 |
transcript.whisperx[392].end |
11523.505 |
transcript.whisperx[392].text |
今年年底就開始了 開始更換 足批更換 換到117年全部都是新的統一的系統這門門很要緊 那個體驗的感覺不好就對台鐵的評價就會低嘛 董事長這日的高鐵 高鐵的滿意度會高是因為旅客普遍搭乘的體驗感覺是好的 |
transcript.whisperx[393].start |
11524.425 |
transcript.whisperx[393].end |
11552.362 |
transcript.whisperx[393].text |
這個其實是很重要的那也因為這個感應的問題台鐵的你要輔導的時候啊這個員工都還曾經跟旅客因為不知道在哪裡感應吵吵架的也有啦這個我等一下再跟你談那譬如說我再舉例像那個台中跟豐原站這兩個火車站都是大站那個電子看板啊從116年開始掛上去壞了之後到今天大概這樣幾年七八年了吧 |
transcript.whisperx[394].start |
11553.408 |
transcript.whisperx[394].end |
11578.63 |
transcript.whisperx[394].text |
2016不好意思2016年開始那也大概時間很長了那台中站就直接用看板把那個電子看板用一般的看板把電子看板蓋住董事長這個為什麼我們不使用它是說它是有什麼問題不好用還是因為我們沒有錢維修還是什麼問題 |
transcript.whisperx[395].start |
11581.26 |
transcript.whisperx[395].end |
11609.215 |
transcript.whisperx[395].text |
跟委員報告 這個我們還是要發包來維修那現在目前我們在爭取這個經費之中董事長 我的意思是說2016年到現在你如果說在去年或是前幾月派去說你在爭取預算我不能夠理解是2016年沒有使用到今天掛在那裡已經掛了那麼久了這什麼原因 |
transcript.whisperx[396].start |
11609.997 |
transcript.whisperx[396].end |
11610.278 |
transcript.whisperx[396].text |
我請我們總經理來 |
transcript.whisperx[397].start |
11613.666 |
transcript.whisperx[397].end |
11640.405 |
transcript.whisperx[397].text |
跟委員報告我們現在目前處置就是現在已經夠半千盒已經在簽了就是要找到錢現在我們馬上就會來發包來進行改善那過去的原因主要是因為這個台中鐵路高架化是105年鐵道局蓋完以後點交給我們那點交完了以後這個部分確實有故障情形所以我們還要跟鐵道局因為原來還在他保固期間內 |
transcript.whisperx[398].start |
11641.446 |
transcript.whisperx[398].end |
11653.111 |
transcript.whisperx[398].text |
但是那個廠商在後續的維修上面一直沒有積極的處理所以我們現在目前自己來辦理這看起來好像你們的事情來 楊局長就是說這太離譜了吧2016年到今天現在在這裡說要爭取預算 |
transcript.whisperx[399].start |
11662.267 |
transcript.whisperx[399].end |
11689.578 |
transcript.whisperx[399].text |
包委員這個我們回去檢討一下好不好坦白說因為我們計畫已經結束了是不是還有這個問題我知道還有這個問題我們再跟台鐵公司一起來共同解決好啦這個這樣子啦2016年到現在為什麼他會放在那裡這個我很難理解啦你如果說沒有預算那隔年應該有因為他就是門面嘛我們要買票要買票的窗口的上面 |
transcript.whisperx[400].start |
11690.694 |
transcript.whisperx[400].end |
11714.495 |
transcript.whisperx[400].text |
的那個電子看板不能使用就一直擺在那裡不能使用那如果它是壞的那我們是不是如果說它是這個系統不對我們不能用是不是應該就把它拆了嘛因為你可以做其他的廣告也可以啊廣告賣錢什麼都好啊總不能擺一個壞的東西從2016年壞了擺到今天為止它還擺在那裡 |
transcript.whisperx[401].start |
11715.556 |
transcript.whisperx[401].end |
11734.883 |
transcript.whisperx[401].text |
部長這個我覺得應該要檢討報告委員我剛剛也請鐵道局一定要檢討因為當時這樣聽起來是兩個界面的問題鐵道局做好之後交給台鐵那鐵道局當時的廠商做得不好但後續的追溯鐵道局有沒有做我請楊局長去查清楚這個一定要查清楚再來現在已經全部都是台鐵負責 |
transcript.whisperx[402].start |
11735.743 |
transcript.whisperx[402].end |
11756.827 |
transcript.whisperx[402].text |
那台鐵對於這麼重要的一個資訊提供的地方那個地方因為大家購票所以上面不會不重要一定是重要的這個要趕快去把它做好現在我們快速把它維修也好或者換新的也好趕快把它做好就檢討的部分我就授權因為今天我在這裡問我也問不出你來啦你事後把一個檢討報告給我喂這很離譜這對我來說實在是很難我請鐵道局馬上提供這個檢討 |
transcript.whisperx[403].start |
11765.302 |
transcript.whisperx[403].end |
11789.702 |
transcript.whisperx[403].text |
那個鄭董事長 你站在經營高鐵那麼多年的角度這個在你們高鐵 這個是 你說實在話你不會覺得荒謬跟離譜不應該嘛 對不對資訊系統永遠是一個非常重要跟理工溝通的時間那不是在八角 如果這是八角的資訊系統那就是說因為看的人少 大家有主要的看板可以看阿他的位置齁 你看 |
transcript.whisperx[404].start |
11790.942 |
transcript.whisperx[404].end |
11819.22 |
transcript.whisperx[404].text |
他的位置就是在那個最門面的地方你說這樣台鐵要怎麼滿意都要怎麼管這台鐵要怎麼大家覺得這是可信任的所以我說你很要緊啦我看部長比較介意你所以才會叫你去做這個工作我說的都不是很複雜的啦我們要檢討高鐵都是很細微很細緻的問題因為他大致的方向大家都滿意所以大家能問高鐵的事情 |
transcript.whisperx[405].start |
11820.08 |
transcript.whisperx[405].end |
11846.913 |
transcript.whisperx[405].text |
其實都是比較不是這個可能是長遠的發展啊不是結構性的問題但你今天要接手的是結構性的問題各位很報告現在這個案子已經準備在發包要決標那年底前會決標那我們一定在明年年中應該是在看看能不能在年中前能夠把這個案子能夠把它做好好啦我今天來其實不是在指責我只是點出 |
transcript.whisperx[406].start |
11847.893 |
transcript.whisperx[406].end |
11870.059 |
transcript.whisperx[406].text |
我是隨便抓的啦 如果要把過去的事情 到今天還沒有做好的台鐵怎麼在運量上面 台鐵的歷史厚度這個有百年歷史的台鐵 他不只可以賣運輸 他可以賣文化他可以賣的東西很多 所以台鐵的營收還要講便當 那又要講很久啦 所以 |
transcript.whisperx[407].start |
11870.999 |
transcript.whisperx[407].end |
11897.199 |
transcript.whisperx[407].text |
這些東西需要一個有能力的董事長來好好的把它整我今天來只是提醒說台鐵你要做的工作很多你任重道遠你要做的工作很多那另外台鐵的士氣員工啊你也要想辦法建立起一套這個員工的這個制度你看現在員工很辛苦嘛我剛剛講入票口因為旅客不知怎麼使用 |
transcript.whisperx[408].start |
11897.939 |
transcript.whisperx[408].end |
11924.76 |
transcript.whisperx[408].text |
所以就跟戰務人員產生衝突雙方不開心 剩戰務員還辱罵那表示戰務同仁可能壓力真的很大那另外你看多少我們台鐵的員工要常常還要練身體因為人家拿刀的啦 要扭打的啦查票過程裡面口角衝突 甚至全副武裝的這個在台鐵我們幾乎很少看到這樣的新聞 |
transcript.whisperx[409].start |
11926.417 |
transcript.whisperx[409].end |
11946.881 |
transcript.whisperx[409].text |
高鐵我們幾乎很少看到台鐵最多一天還有兩三則兩三個案例這個比例實在太驚人了所以員工的士氣一定有問題那怎麼去保護員工怎麼去讓員工在心理輔導上面怎麼去協助讓這個在繁忙的工作底下可以怎麼樣去做 |
transcript.whisperx[410].start |
11947.361 |
transcript.whisperx[410].end |
11966.145 |
transcript.whisperx[410].text |
因為只有快樂的員工他才能夠善待所有的旅客這些都環環相扣啦所以不是只有硬體喔軟體硬體跟軟體台鐵都是百廢待興啦是謝謝委員指導這個友善職場我們要再努力好不好所以我今天來是要讓你了解說這個任務不簡單啦 |
transcript.whisperx[411].start |
11970.346 |
transcript.whisperx[411].end |
11997.166 |
transcript.whisperx[411].text |
背負的責任很重大因為你在國體一定有很好的成績保證才會看到你的長才讓你來這裡因為在我的心目當中史哲董事長是非常有能力非常優秀的人那他竟然只能當到高鐵董事長當不了台鐵董事長所以我才會覺得部長一定覺得你的能力比史哲董事長更好所以呢我對你有很高的期許啦 |
transcript.whisperx[412].start |
11999.064 |
transcript.whisperx[412].end |
12006.813 |
transcript.whisperx[412].text |
謝謝委員指教好 我會盡力做謝謝蔡其昌副院長現在請王逸川委員執行 |
transcript.whisperx[413].start |
12019.039 |
transcript.whisperx[413].end |
12045.41 |
transcript.whisperx[413].text |
好謝謝主席我們請台鐵董事長跟高鐵董事長好來鄭董事長石董事長好我先請問一下這個鄭董事長上次我在質詢的時候啊有提到說我們到了高鐵的站區啊再走到台鐵站區就知道我到台鐵了兩筆差很多嘛你現在 |
transcript.whisperx[414].start |
12046.269 |
transcript.whisperx[414].end |
12065.745 |
transcript.whisperx[414].text |
跟一個時間是台鐵,你也有發言說,欸?這是台鐵,怎麼怕我以前的高鐵沒工,你有這個感受嗎?當然是有啦,那我們盡量來把台鐵的部分,盡量來改善我最近到左營,新左營的那個台鐵站 |
transcript.whisperx[415].start |
12066.701 |
transcript.whisperx[415].end |
12085.385 |
transcript.whisperx[415].text |
我發現有改善 電費變更高不然本來都黑黑臭臭我跟你們講 可是現在台北站喔台北站走過高鐵再往台鐵 你就知道你到台鐵了台鐵站現在還有一些問題我們每次月台的單車 那個整個標示牌 那個大國藥的董事長你應該有發現 這是高鐵不可能出現 |
transcript.whisperx[416].start |
12092.918 |
transcript.whisperx[416].end |
12105.615 |
transcript.whisperx[416].text |
我們在打國藥啦 褲褲都在打 上面都在打 拔條都在打啦走一個禁煙標誌就對了 四五行啦啊每天要宣導就打 要打就打 打一大堆 |
transcript.whisperx[417].start |
12107.429 |
transcript.whisperx[417].end |
12130.349 |
transcript.whisperx[417].text |
大家想像台鐵搞不清楚現在這台車一邊兩個門的還是一邊三個門的會不會停這裡會不會停那裡對一些人來說是很大的考驗所以這一個車站的標示系統我希望台鐵你就是高鐵的董事長我知道你這一段期間去應該這邊也看不慣那邊也看不慣 |
transcript.whisperx[418].start |
12132.17 |
transcript.whisperx[418].end |
12159.941 |
transcript.whisperx[418].text |
我講的是設施啦 看不慣啦當然台鐵有經費 把它編然後把它改善成像高鐵的樣子啦這個是謝謝委員指導 我們會朝這方向來努力對啦 因為我知道你們錢也有含啦我們還要加薪水 這些硬體的設施要趕上高鐵還是有一段距離啦 大家一起加油好 接下來對 我再請問一下 兩位你們兩本報告互相有沒有看過 |
transcript.whisperx[419].start |
12162.287 |
transcript.whisperx[419].end |
12173.281 |
transcript.whisperx[419].text |
兩本 我事前沒有好 你要互相漏氣求進步互相看互相學習 互相看互相學習好 接下來請高鐵董事長 |
transcript.whisperx[420].start |
12175.114 |
transcript.whisperx[420].end |
12193.223 |
transcript.whisperx[420].text |
董事長你上任啦 大家對你有很多的這個指教啦 或是批評啦 都有人那你今天來的報告 我看到一個重點你花了蠻多的篇幅啊 在談安全 談技術 談這一個環境 這就對了 |
transcript.whisperx[421].start |
12196.704 |
transcript.whisperx[421].end |
12213.187 |
transcript.whisperx[421].text |
因為原本的媒體的報導啊 說要叫你來做行銷啦高鐵現在不用什麼行銷啦 每天的K-1是要行銷什麼的你沒有行銷就都K-1了啦啊你跟行銷也K-1 所以這個行銷這個階段看起來不是重點 重點就是 |
transcript.whisperx[422].start |
12213.707 |
transcript.whisperx[422].end |
12240.73 |
transcript.whisperx[422].text |
我這報告看得出來 你把很專業的安全技術這些課題啊 通通尊重專業由這個專業者啦 來處理但是你上任以後啊 跟你溝通幾件事情我們隔壁的車啊 開出去啊 位子沒人坐就是沒人坐啦沒人坐 那位子就是了解啦那所以呢 我們現在的這個搞運輸系統啊 最好的 |
transcript.whisperx[423].start |
12241.471 |
transcript.whisperx[423].end |
12253.296 |
transcript.whisperx[423].text |
班班客滿 都沒人騎 也沒人騎一輪月台 工需都要最好所以有一些專車 有人包整個車廂的 有團體旅遊的都有這包的時候 你應該建議他做兩門車次 |
transcript.whisperx[424].start |
12260.66 |
transcript.whisperx[424].end |
12280.773 |
transcript.whisperx[424].text |
他也要叫人家開熱門的啦那你冷門車是這個時候行銷就出現他如果做冷門車是你的票價就給他降下去因為你車開出去沒人坐就沒人坐那位就尿了嘛那你如果說你本來要買7點的我跟你說你不要買7點的你改買銀行8點的或是6點的 提早5點的你做那個班次啦我讓你票價降低所以高鐵應該在研究要有彈性的票價你們現在的票價 |
transcript.whisperx[425].start |
12290.82 |
transcript.whisperx[425].end |
12302.153 |
transcript.whisperx[425].text |
太僵化,太僵化你就動不了第二個,我們每到假日北上,假日北上,經常都客門,剛才很多委員講你們應該多開全車自由座全車自由座,除了第六車廂以外,一台車載出去就八個到八個了 |
transcript.whisperx[426].start |
12310.68 |
transcript.whisperx[426].end |
12318.125 |
transcript.whisperx[426].text |
那個一次譬如說台中站一次就紓解光了我知道高鐵的營運的部門運務部門都有留備用的車輛那時候台電有那個備援電力一樣都不敢開啦真的動不動的時候台中車就要滾出來 |
transcript.whisperx[427].start |
12329.199 |
transcript.whisperx[427].end |
12336.129 |
transcript.whisperx[427].text |
一塊給台中站 一塊給街館 要不然那台中站有時候要擺下去那整個鋼鐵站路人員都要拉紅龍 都要衝那個動線這個才是要做的啦 要不然會僵化因為高鐵現在經過十八年 要二十年了十八年來喔 做到最後 可是會僵化 |
transcript.whisperx[428].start |
12347.116 |
transcript.whisperx[428].end |
12375.808 |
transcript.whisperx[428].text |
你如果問這運務部門人家說啊沒辦法嘿這個董事長這個沒辦法那也沒辦法車放在那裡也沒辦法這個就是要有彈性去把它調才能夠解決我們假日啊的這一個問題所以我現在要求啊可不可以給我提供給我今年一到五月你們高鐵所有列車所有列車每天出勤的列車班數讓我們知道說你到底唱多少車啦好最後 |
transcript.whisperx[429].start |
12376.653 |
transcript.whisperx[429].end |
12384.059 |
transcript.whisperx[429].text |
主席給我幾分鐘最後請你要務必要求我們的台鐵的駕駛高鐵的駕駛跟高鐵的站入員高鐵的列車長一定要落實紙擦確認現在紙擦確認委現在越走越親在 |
transcript.whisperx[430].start |
12395.203 |
transcript.whisperx[430].end |
12411.837 |
transcript.whisperx[430].text |
都沒有說指叉確認要做我們的駕駛的指叉確認也要做這才能夠這一個落實有一陣子在鄭董事長領導之下這種經歷這事情都做得很好我們的指叉確認動作都做很大有時候那些列車搞的時候都會戴幣買花車車現在都有一點鬆懈最後一個 |
transcript.whisperx[431].start |
12416.081 |
transcript.whisperx[431].end |
12439.818 |
transcript.whisperx[431].text |
我們高鐵會有國際的客人你如果知道說這班車有日本人包幾個團的比如包一個車廂都是日本團的現在日本人都學習啊這個他畢業旅行啊來到台灣做你知道說這台車有一本人我建議你們就應該派高鐵的車上的服務人員啊就要會講日文日本的國旗就拍上去 |
transcript.whisperx[432].start |
12442.199 |
transcript.whisperx[432].end |
12451.186 |
transcript.whisperx[432].text |
對日本人來說這個會講日文然後有掛日本國旗他會很開心啊然後知道這裡這個列車上面有整團日本人整團韓國人高鐵的廣播 |
transcript.whisperx[433].start |
12454.335 |
transcript.whisperx[433].end |
12472.628 |
transcript.whisperx[433].text |
快到站的廣播 你就用日文廣播啊叫你的車長或者是服務人員會講日文的直接上車用日文跟他講說到台北站了 到高雄站了喔 那聽起來絕對很感動的 對不對當然你如果去到韓國 去到日本買到車的時候有人用台語教你說那廣播用台語的 你說你會刷一下覺得很受尊重 這個是新聞很假的這個可以試看看有沒有機會在這個地方做改進好 以上 謝謝 |
transcript.whisperx[434].start |
12483.936 |
transcript.whisperx[434].end |
12511.599 |
transcript.whisperx[434].text |
好 副委員感謝你這麼專業 還有一些事情要請教 給我們加一些撇步 謝謝謝謝王逸川委員 現在請陳雪生委員執行哎呀 我以為王逸川委員只會鬥爭啊他腦袋還不錯嘛那個像有一些高鐵啊沒有人做的時段有沒有 把便宜的票賣出去 這是對的 |
transcript.whisperx[435].start |
12512.677 |
transcript.whisperx[435].end |
12537.935 |
transcript.whisperx[435].text |
我看他腦袋還不錯請部長好,陳部長來陳部長陳部長不是史部長啦委員好部長好久不見齁我看你這個笑容可掬啊好像事業滿順利的齁是看到你就會很開心不會不會不會 |
transcript.whisperx[436].start |
12539.668 |
transcript.whisperx[436].end |
12556.081 |
transcript.whisperx[436].text |
我要請問一下這次高鐵跟台鐵的人事案當然我們尊重行政院這個人事主導權是你們的嘛你該派誰我們沒有意見當然成敗你要負責這個過程怎麼樣願聽其詳願聞其詳過程啊這個人事怎麼主導勒 |
transcript.whisperx[437].start |
12564.504 |
transcript.whisperx[437].end |
12592.245 |
transcript.whisperx[437].text |
這個是由交通部提出,那由院長核定喔,那就你提出的喔?是,交通部提出的沒錯因為這個高鐵有沒有,這個鄭榮我對他很有興趣啊他從利隆航空的時候就跟我們馬嘴有接觸後來到這個長榮,他真的標準的吸油欸跑到高鐵,高鐵他快倒了嘛對不對然後現在又把他振興起來了,高鐵 |
transcript.whisperx[438].start |
12593.493 |
transcript.whisperx[438].end |
12619.717 |
transcript.whisperx[438].text |
把他做得很好他高鐵甚至要學台鐵做台鐵的便當他已經都有計畫我聽他講了突然生董事長沒幹幾個月又變成台鐵台鐵是一個很危險的職務我之前那個杜威當局長的時候我問他杜局長你要幹多久啊他幹到退休我說你幹到退休 |
transcript.whisperx[439].start |
12620.418 |
transcript.whisperx[439].end |
12637.706 |
transcript.whisperx[439].text |
台鐵局長一年犯三次,抓的抓、關的關、彈劾的彈劾這很辛苦的欸是不是?杜董事長做得很好,真的做到退休他退休的時候我也很詫異,我一直希望他能夠繼續那當然你現在又把鄭榮弄過來,我也跟鄭榮勉勵了 |
transcript.whisperx[440].start |
12641.089 |
transcript.whisperx[440].end |
12668.424 |
transcript.whisperx[440].text |
高鐵那邊的年薪跟台鐵的年薪差很多台鐵的薪水已經都有爭議了所以當然政總上來是滿辛苦的因為台鐵這裡面有段還有站站跟段成科已久你把底下弄得差不多你自己也走人了你部裡面如果底下每個局都出狀況你部長也幹不下去了 |
transcript.whisperx[441].start |
12670.185 |
transcript.whisperx[441].end |
12681.108 |
transcript.whisperx[441].text |
那我現在講台鐵要漲價,大概二十幾、二十六點幾是不是?他今年的財報虧損137.9億那可能鄭董,您上來我想聽聽你的講法你怎麼樣把137.9億虧損彌平,然後勒? |
transcript.whisperx[442].start |
12696.314 |
transcript.whisperx[442].end |
12720.416 |
transcript.whisperx[442].text |
再恢復到高鐵的雄風你有沒有這樣的雄心壯志我有這樣的想法但是這個要慢慢來我想最重要現在要讓台鐵的服務能夠符合旅客的需求能夠讓旅客對台鐵有信心譬如說要安全要準點這部分恐怕要先做到 |
transcript.whisperx[443].start |
12720.953 |
transcript.whisperx[443].end |
12744.602 |
transcript.whisperx[443].text |
那做完這個以後那也同時因為要做到這個一定要讓我們的員工有願意他來這個付出那所以這個友善職場對員工的這個福利一些他的應該給他合理的一個待遇這個也要趕快做那希望做完了以後我們再來看看我們的財務情況是怎麼樣我想我們都會支持那你現在推出一個TPASTPAS這個一年要虧3.8億 |
transcript.whisperx[444].start |
12748.226 |
transcript.whisperx[444].end |
12762.477 |
transcript.whisperx[444].text |
當然地方跟中央聯合來出我也問了比如台北市、台中跟我們馬祖沒什麼關係我們地方不會出這個錢我們出這個錢也是找陳部長算帳我們不會出這個錢所以你這裡面還要3.8億當然這個政策是對的啦外面學者專家評估這個政策是對的這個對我們通行人員來講是好的那 |
transcript.whisperx[445].start |
12778.274 |
transcript.whisperx[445].end |
12798.808 |
transcript.whisperx[445].text |
您可能會更加辛苦啦好不好還有我最關注的是台鐵便當希望你把台鐵便當繼續發揚光大好不好好我們會在這個優勢之下我們努力強化我們的優勢那我們做得不好我們趕快要把它做得更好好那部長台鐵董事長剛剛才上任你不會把它再換掉吧 |
transcript.whisperx[446].start |
12799.608 |
transcript.whisperx[446].end |
12824.479 |
transcript.whisperx[446].text |
不會啊不會啊會不會再調整去哪裡啊?高工局馬上退休了,你會不會再弄到那邊去啊?不會啊,台鐵有很多工作要做,所以剛剛委員已經提示很多工作了那鄭董事長一定會努力把台鐵的體質改變我們根本都不知道啊,都是聽報章雜誌那個,那鄭董你請回好不好?我想請我們新任石董事長好,高鐵石董事長 |
transcript.whisperx[447].start |
12828.248 |
transcript.whisperx[447].end |
12854.892 |
transcript.whisperx[447].text |
石董事長我在立法院很少跟他見面,也沒見過不過初次見面印象蠻好的,談笑風生而且看起來蠻歷練的,跟我們部長多學習當然你是以前文化部部長現在不管怎麼樣,你的長官是陳部長現在你心裡面可以嗎?可以接受嗎?完全接受你不能接受可以講啊?完全接受完全接受? |
transcript.whisperx[448].start |
12856.084 |
transcript.whisperx[448].end |
12877.957 |
transcript.whisperx[448].text |
好那你說說看你將來有什麼雄心抱負把高鐵怎麼樣繼續繼續發揚光大就誠如剛才王玉川委員也講了一些啊我以為王玉川只會搞鬥爭啊他腦袋還不錯你可以接受他的講法嗎他講的講法是我們現在也目前正在進行的事情因為你有一些高鐵 |
transcript.whisperx[449].start |
12879.482 |
transcript.whisperx[449].end |
12906.534 |
transcript.whisperx[449].text |
都沒有人嘛 對不對你可以把票價降低啊 去招攬客人你不要現在班班客滿的情況之下 你可以公告一些離風時間的時段我們高鐵的特質就是一般車開出來不管是坐多少人 它的固定成本都是一樣我想石董董你剛剛上任我也不為難你這個裡面改組啊我也尊重交通部行列人的人事權 |
transcript.whisperx[450].start |
12907.794 |
transcript.whisperx[450].end |
12929.062 |
transcript.whisperx[450].text |
當然還要看你的表現,表現不好的話,我們在執行團還要見面嘛好不好,加油,請你請回台鐵剛才那個誰?鄭董?很重要的問題,工會團體提出三大訴求,大概都是公安的問題 |
transcript.whisperx[451].start |
12930.475 |
transcript.whisperx[451].end |
12959.598 |
transcript.whisperx[451].text |
警力的加強,你這邊交通部要跟內政部去協調一下因為高鐵常常發生一些意外,公安意外所以鐵路警察的部分我們會特別拜託對這些員工,人心惶惶他們會怕對我們旅客來講的安全,這個很重要鄭董你再回去注意一下好不好你跟工會溝通一下,他們的三大訴求我想這個應該可以辦得到,就警力再加強一下是的,我們會跟鐵警局再進一步溝通 |
transcript.whisperx[452].start |
12959.958 |
transcript.whisperx[452].end |
12975.288 |
transcript.whisperx[452].text |
好那鄭榮你請回部長最後一個問題就請教你今天公路局局長沒有來我明天會找他來開個會你聽到就好了我們中正國中有個停車場停車場大概我不曉得誰規劃156個位置 |
transcript.whisperx[453].start |
12981.102 |
transcript.whisperx[453].end |
13000.512 |
transcript.whisperx[453].text |
這個停車場是大家使用,不是國中,因為沒有土地的嘛所以利用中正國中運動場下面,把它土方挖開然後做停車場,上面再蓋教室教室的錢教育不出,底下的錢給我們公路局來出啦那現在公路局說,你要蓋156個位置 |
transcript.whisperx[454].start |
13002.912 |
transcript.whisperx[454].end |
13009.095 |
transcript.whisperx[454].text |
那我們覺得沒辦法我們只能蓋75個車位75個車位單價大概248萬一個他說你這個248萬建造費用超過一般的100多萬的車子變成這個停車場比車位還貴不符國內標準馬祖地區 |
transcript.whisperx[455].start |
13025.063 |
transcript.whisperx[455].end |
13052.944 |
transcript.whisperx[455].text |
我們缺工缺料欸我們很多地方標不出去我們一個中山國中標了28次28次喔標出去以後還碰到問題地質賺貸的問題所以可見還有一些石頭砂石有些離島的地區根本東西都進不去啊那廠商你即使給我賺500萬賺1000萬沒有用我不想賺那個錢啊因為什麼?疫情罰款會罰死他你知道嗎所以呢 |
transcript.whisperx[456].start |
13054.11 |
transcript.whisperx[456].end |
13078.898 |
transcript.whisperx[456].text |
在公路總局這案子一直沒辦法過去一直在審查再審查那你狀況不一樣你不能跟台灣來比那你造價不只比台灣高三分之一還有缺工缺料的問題我們另外一個停車場福澳停車場兩個比較單價一個車位的單價是兩百四十七萬這個是兩百四十八萬只多一萬塊 |
transcript.whisperx[457].start |
13080.592 |
transcript.whisperx[457].end |
13106.133 |
transcript.whisperx[457].text |
所以我想部長你回去交代一下工程局,我們現場明天要親自來,因為這個問題不能再拖了而且工程已經八次發包了,如果實在再不行,請我們交通部你們來主導來主政在符合規範的範圍之內我們盡量來協助,這個部分我來跟他們溝通你不能一直在符合台灣的規範,你符合台灣的規範怎麼弄? |
transcript.whisperx[458].start |
13107.403 |
transcript.whisperx[458].end |
13128.96 |
transcript.whisperx[458].text |
你台灣一個單價比如說車子一部150萬,它的停車位造價只能在150萬以內,那我們那裡就在200多萬嘛所以沒有200多萬坐不起來嘛,現在我們就75個車位那好,你如果要求要我們156個車位的話,那你再給我補助我一半的錢啊 |
transcript.whisperx[459].start |
13132.509 |
transcript.whisperx[459].end |
13157.668 |
transcript.whisperx[459].text |
明天召開的會議先討論,後續有需要我來協助,我再來協助溝通現場很緊張,他親自跑來拜託我拜託我,我就找公眾總局他們來他們裡面有個委員會委員會你做官的在辦公室,你怎麼知道我們那邊的事情我都火大了,反正想說再考察一次因為馬祖考察過了再去為這個事情再考察一次部長有需要嗎? |
transcript.whisperx[460].start |
13159.193 |
transcript.whisperx[460].end |
13169.921 |
transcript.whisperx[460].text |
其實您這樣說我就理解,不一定要到現場,因為停車場我去看了兩個馬祖的停車道我們看過兩個,就這個沒看,蓋了你一看你應該了解了嗎,好不好不打擾你好不好,謝謝趙偉謝謝好謝謝陳寫生委員的執行,現在請邱若驊委員執行 |
transcript.whisperx[461].start |
13189.53 |
transcript.whisperx[461].end |
13192.967 |
transcript.whisperx[461].text |
好 謝謝主席 主席有請交通部陳部長好 交通部陳部長 |
transcript.whisperx[462].start |
13200.612 |
transcript.whisperx[462].end |
13226.696 |
transcript.whisperx[462].text |
委員好 部長好 您上任交通部長資金即將要滿一年了嘛那本席想先請教您幾個簡單的問題喔部長您任內大概來過幾次巴德還有大溪 桃園巴德 大溪巴德啊 對巴德大概一兩次 大溪應該沒有去過那本席記得去年十月就是台66銜接國道3號通車時您有來到嘛那您有沒有走過大溪的接受路 這一條路呢 |
transcript.whisperx[463].start |
13227.618 |
transcript.whisperx[463].end |
13238.592 |
transcript.whisperx[463].text |
沒印象那本席今天要針對這條路大溪接受路的路面品質問題就交部長部長我們先來看通影片那台灣馬路有一個現象到處都有部長您知道是哪一個現象嗎可能是不平吧 |
transcript.whisperx[464].start |
13241.69 |
transcript.whisperx[464].end |
13264.635 |
transcript.whisperx[464].text |
不平 那我們接下來看喔補丁的部分比較多喔 沒錯部長就是您說到的補丁的部分那我們來看大溪接受路它這條路全長大約3.1公里是連接巴德與大溪的重要通勤幹道之一這條路它交通繁忙然後更是銜接巴德接受路二段它承載著每天都承載著大量的通勤車流量部長您知道這條路的養護單位是哪一個機關嗎 |
transcript.whisperx[465].start |
13267.008 |
transcript.whisperx[465].end |
13288.462 |
transcript.whisperx[465].text |
欸 這個應該不是省道這個應該不是省道是省道嗎 這個我不曉得他是在公路局那部長您知道他為什麼在他是省道 如果是省道就是公路局沒有錯對 他是由公路局所負責喔那因為這條接收路它屬於台四線的路段喔那可是這個區域它又不在都市計畫內所以依法是由公路局來負責養護那部長我們來看到簡報 |
transcript.whisperx[466].start |
13290.075 |
transcript.whisperx[466].end |
13317.73 |
transcript.whisperx[466].text |
現在目前接受他的路況他的現況是東補一塊西補一塊那到處都是高低落差啊街坊也是不平整的他完全不符合公路局該有的道路品質那我們也看到這樣的路況他會影響到人路人的行車安全也會也影響我們地方就是巴德與大溪地區民眾的交通品質啊部長這種補丁路面補丁對汽車對於汽車駕駛人或許他我們還可以忍受可是對於騎摩托車的民眾來說 |
transcript.whisperx[467].start |
13319.131 |
transcript.whisperx[467].end |
13336.507 |
transcript.whisperx[467].text |
或是自行車的族群來說這種高低落差非常的危險嘛那部長你應該有騎過摩托車嘛我每個禮拜都會騎摩托車對 那對於騎士而言那整個路面的平整啊不平的時候就真的很像在騎off-road就是非常的危險 |
transcript.whisperx[468].start |
13338.108 |
transcript.whisperx[468].end |
13366.68 |
transcript.whisperx[468].text |
這種坑洞還有不平整的他的接縫嘛也可能會造成騎士摔車那部長您知道這條街事路上次修的時候是大概是什麼時候嗎我不曉得不曉得他已經10年前了我們來看這段投影片那這條那這個是公路局的官方公開資料它屬於台四線23.8K到26.9K那最近一次大規模的修繕工程是民國105年也就是整整10年前那10年都沒有重新鋪過那麼重要的 |
transcript.whisperx[469].start |
13367 |
transcript.whisperx[469].end |
13381.8 |
transcript.whisperx[469].text |
一條道路喔 這樣的補丁部長您認為這樣的品質您能接受嗎報告委員 這個兩個部分來處理啦一個就是說對於挖補的那個規範或許我們的省道必須要做一定的規範我知道每個都市對於挖 |
transcript.whisperx[470].start |
13382.921 |
transcript.whisperx[470].end |
13403.273 |
transcript.whisperx[470].text |
管縣的規範不一樣或許桃園的規範會不會比較寬鬆這我不曉得至少在我們台中的規範會比較嚴格這第一個要處理的第二個就是說委員您剛剛所提到的那個補丁的部分太多我們會馬上請公路局在那一段負責的分局趕快去處理所以把整段做好不應該讓它補丁這麼多 |
transcript.whisperx[471].start |
13405.214 |
transcript.whisperx[471].end |
13434.834 |
transcript.whisperx[471].text |
是 那部長您剛也有提到台中的部分那我們看除了台四線之外2023年台三線的台中三線段還有2024年台十七線的高雄彌陀段那包括2025年台二十八線的大樹段同樣都是省道路面也同樣都有凹凸還有補丁的情況那我們來看一下一張投影片OK好 沒關係也難怪我們剛才看到投影片有日本的網友揶揄我們說我們台灣不會鋪馬路部長 那就省道的部分交通部要如何來提升路面的品質呢 |
transcript.whisperx[472].start |
13436.195 |
transcript.whisperx[472].end |
13455.811 |
transcript.whisperx[472].text |
報告委員當然該補的部分我們要把它做好這是一方面二方面對於管線的這個挖這個部分的管理或許可以再更嚴格一點或者是說大家比較統一時間啦不要說這裡有個建案就讓他挖這裡有個什麼就讓他挖其實有時候民意代表來拜託的時候我們地方的分局也很難拒絕 |
transcript.whisperx[473].start |
13457.072 |
transcript.whisperx[473].end |
13483.485 |
transcript.whisperx[473].text |
但是這個大家都不一樣時間這裡挖那裡挖對於整個公路系統來說很難啦很難說維持整段都很完整如果不挖不會有問題大部分的問題是出在挖那您剛才有提到就很重要的問題就是時間嘛那公路局能不能夠就是全面的盤點全國省道的使用頻率那包括周邊人口的密度然後還有作為未來養護優先順序然後重新鋪設的週期來作為依據呢 |
transcript.whisperx[474].start |
13486.718 |
transcript.whisperx[474].end |
13511.915 |
transcript.whisperx[474].text |
好委員這個建議很好我相信他們有一定的這個週期跟一定的維養的標準啦那我請他們再看仔細一點有沒有哪些路段我們去盤點一下現在狀況不好的我們趕快把它解決好謝謝部長那也希望就是有關有關的可以儘快提供數據那我們希望在有限的預算下能夠發揮最大的效益那主席請我們台鐵的鄭董事長好來台鐵鄭董事長 |
transcript.whisperx[475].start |
13522.54 |
transcript.whisperx[475].end |
13540.073 |
transcript.whisperx[475].text |
委員好董事長好董事長對於您願意自動降薪來到台鐵然後帶頭改革的決心那本席給予高度的肯定也希望在董事長的帶領之下可以將過去的陋習一一根除那讓台鐵營運更好也更安全更有效率那肯定之餘本席還是要針對幾個問題那我們先來看到投票慣犯 |
transcript.whisperx[476].start |
13543.996 |
transcript.whisperx[476].end |
13554.438 |
transcript.whisperx[476].text |
以及前線人員的安全本身要提出建議以及問題那我們看到根據台鐵的統計2020年補票234萬張他金額高達1億零55萬那疫情期間有降下來是2021年的投票的張數是163萬張金額是7069萬那疫情過後呢他運量回溫他2024年投票的張數是203萬張那金額高達1億 |
transcript.whisperx[477].start |
13577.759 |
transcript.whisperx[477].end |
13591.389 |
transcript.whisperx[477].text |
1830萬1830萬 董事長那對於台鐵要如何有效改善投票的問題 董事長能否再回去和台鐵 就是進行研議還有正式目前我們這個台鐵面臨到的問題 因為這些都只是抓到的 還沒有抓到的黑數相信有更多 |
transcript.whisperx[478].start |
13592.35 |
transcript.whisperx[478].end |
13612.825 |
transcript.whisperx[478].text |
是的我們會持續的來關切這個問題不過目前我們會加強列車上的這個隨機差票這樣一個機制那同時也會把這個補票的這個機制讓他很務實的很落實的來跟旅客來溝通那對於這個電子票證我們現在有電子票證的這個進出比對我們會加強 |
transcript.whisperx[479].start |
13616.147 |
transcript.whisperx[479].end |
13622.002 |
transcript.whisperx[479].text |
那用這樣的話多管的來防堵這個所謂的逃票的問題 |
transcript.whisperx[480].start |
13622.799 |
transcript.whisperx[480].end |
13651.778 |
transcript.whisperx[480].text |
OK好 謝謝董事長那剛剛也有很多委員提到就是安全的問題那台鐵認為說車上配備辣椒水還有防身棍並不實用要啟動護車專案提高鐵路警察的見警率還有也嚴密要規劃基礎的防身課程讓員工學習自保那董事長他由於本身在務人他沒有被賦予強制力沒有辦法驅離鬧事的乘客那想請問董事長那台鐵是否可以以後來研議派一到兩位的鐵警來做進駐呢 |
transcript.whisperx[481].start |
13653.919 |
transcript.whisperx[481].end |
13669.464 |
transcript.whisperx[481].text |
這部分的話是這樣我們在車上的話因為我們有這個列車長那也有隨車的這個鐵警在這部分我們但是您提到的在戰務裡面的話我們這一部分我們基本上我們會讓我們的戰務員 |
transcript.whisperx[482].start |
13674.105 |
transcript.whisperx[482].end |
13695.974 |
transcript.whisperx[482].text |
它有一個保護 就是說如果面對一些攻擊或者任何不必要的話那我們會馬上來通知鐵警來跟我們支援地方的警察也可以來隨時來支援我們那當然對一些比較暴力的旅客的話我們也會尊重我們的組員如果說受到這樣的傷害 |
transcript.whisperx[483].start |
13697.634 |
transcript.whisperx[483].end |
13720.679 |
transcript.whisperx[483].text |
我們有法律的諮詢的專家可以來support我們的同仁來提告OK 好 謝謝董事長您的詳細說明那也期待接下來台鐵您在以下的改革那謝謝部長好 謝謝部長 指導謝謝委員好 謝謝邱若驊委員的執行現在請林業勤委員執行 |
transcript.whisperx[484].start |
13736.816 |
transcript.whisperx[484].end |
13745.966 |
transcript.whisperx[484].text |
主席麻煩我們的交通部部長交通部陳部長委員好 |
transcript.whisperx[485].start |
13747.043 |
transcript.whisperx[485].end |
13763.157 |
transcript.whisperx[485].text |
今天是6月25號一個月前我跟民間團體共同召開了記者會針對國內的自行車政策提出了一些建議另外更早之前我也在這裡諮詢慢車的管理問題包含我們的 |
transcript.whisperx[486].start |
13764.278 |
transcript.whisperx[486].end |
13780.177 |
transcript.whisperx[486].text |
電動滑板車在內的個人行動器具規範的執行跟推動情形但我不曉得江部現在針對於內部針對此事的處理進度是什麼為什麼因為我現在不僅拿不到任何具體的說明報告即便我請助理跟 |
transcript.whisperx[487].start |
13781.719 |
transcript.whisperx[487].end |
13781.819 |
transcript.whisperx[487].text |
報告委員 |
transcript.whisperx[488].start |
13798.226 |
transcript.whisperx[488].end |
13826.773 |
transcript.whisperx[488].text |
我們是不是請供運司好不好慢車的規劃在供運司他們那邊都有在做討論但是確實這個影響到的人蠻多那我們的道路的路幅大概就是這個樣子那影響各種運距不一樣的狀況那所以我們的討論時間確實會比較長一點因為要聽取各方面的意見大家意見其實應該也都還沒收攏那供運司是不是可以回答一下目前進度什麼時候可以給我們有些具體的回覆說明 |
transcript.whisperx[489].start |
13828.899 |
transcript.whisperx[489].end |
13831.122 |
transcript.whisperx[489].text |
屬於慢車的部分大概是他的整個運行使用的規劃大概是屬於地方政府他們在做處理 |
transcript.whisperx[490].start |
13843.899 |
transcript.whisperx[490].end |
13844.299 |
transcript.whisperx[490].text |
大概會是什麼時候 |
transcript.whisperx[491].start |
13863.154 |
transcript.whisperx[491].end |
13868.099 |
transcript.whisperx[491].text |
前些日子是讓康橋的學生騎自行車環島我相信部長也知道遇到獨駕的時候逆向撞擊造成學生心重傷 |
transcript.whisperx[492].start |
13886.457 |
transcript.whisperx[492].end |
13903.578 |
transcript.whisperx[492].text |
我相信部長對這件事情應該有清楚掌握自行車的路權跟道路規劃近年來在永續運輸跟觀光促進的風潮之下開始受到政府的大力支持這是好事可是其實仔細看的話政府對自行車的定位好像就是在觀光 |
transcript.whisperx[493].start |
13904.539 |
transcript.whisperx[493].end |
13931.516 |
transcript.whisperx[493].text |
就沒了日常的通勤跟生活道路的騎乘完全比較沒有明確的規劃所以在台灣騎腳踏車的話真的就好像一場那個障礙賽一樣所以想問部長就你了解除了建制觀光用途的環島的路網以外交通部這裡有沒有任何針對自行車通勤跟道路環境規劃有沒有一些基本的政策方針報告委員通勤的部分是由內政部來做規劃不是由交通部來做規劃 |
transcript.whisperx[494].start |
13932.56 |
transcript.whisperx[494].end |
13958.128 |
transcript.whisperx[494].text |
所以就會是在那你們這邊搭配的會有什麼因為還是有些事實上是在公路上不見得事實上是我們目前有四年的這個自行車的整整整個環島的規劃的計畫但這個部分其實會比較不是偏向通通勤我們是比較偏向觀光對交通部來講我們的權責上我們是負責這一塊那至於通勤都市內的部分主要都是由內政部來負責不過因為 |
transcript.whisperx[495].start |
13964.195 |
transcript.whisperx[495].end |
13984.794 |
transcript.whisperx[495].text |
有些我剛剛提到有些還是是在公路的範圍所以但這個事實上是都市人本交通規劃設計手冊對人本交通的考量江部也一直在推人本交通那不知道就是說整個的自行車你的整個環境規劃跟改善完全 |
transcript.whisperx[496].start |
13985.655 |
transcript.whisperx[496].end |
14010.531 |
transcript.whisperx[496].text |
部內到底有沒有有一些搭配的甚至不會是因為今天要講人本交通可是人本交通一個就行人一個事實上就是我們的綠色運輸就是自行車嘛事實上是最為能夠是環保的運輸工具所以就希望說在整個的交通工程規劃裡邊能夠去做這樣的一個考量為什麼我這樣講呢我們就來看 |
transcript.whisperx[497].start |
14014.954 |
transcript.whisperx[497].end |
14032.167 |
transcript.whisperx[497].text |
在整個的道路環境裡面很常事實上是沒有給自行車有這樣子的一個空間所在使得即便事實上是台北市看起來也都沒有自行車的車道的一些空間那在下一頁可以看到就三年多前的話我們的著名的作家那個陳靜 |
transcript.whisperx[498].start |
14033.508 |
transcript.whisperx[498].end |
14049.88 |
transcript.whisperx[498].text |
陳柔靜女士她當時騎自行車回家的時候路上遭後方的機車撞擊交通部邀集相關單位來做會刊最後得到結論竟然會是說原來標牌事實上有自行車跟機車就是只是把自行車拿掉甚至道路的標 |
transcript.whisperx[499].start |
14051.896 |
transcript.whisperx[499].end |
14073.173 |
transcript.whisperx[499].text |
縣也是這樣子就是把自行車這個拿掉而已反過來就會是在所以可以看到右手邊這邊圖片裡邊少了自行車可是要求事實上是人行道事實上你看都是紙災可是他就說要用牽行的方式根本似乎好像是也那到底我們的自行車要騎在哪邊呢部長 |
transcript.whisperx[500].start |
14075.838 |
transcript.whisperx[500].end |
14092.553 |
transcript.whisperx[500].text |
報告委員您所說的這個應該是台22線所以台2乙線抱歉台2乙線那所以交通部會出面來協調因為跟應該跟公路局相關那這個設置確實我覺得還不夠好那這個部分我們可以來再做討論 |
transcript.whisperx[501].start |
14093.766 |
transcript.whisperx[501].end |
14121.935 |
transcript.whisperx[501].text |
對 就要麻煩 否則你今天發生事故然後最後的方法就是說把那個耗置裡邊或者是我們的牌面裡邊把它拿掉或者是標線裡邊拿掉這個根本就是沒有解決這個問題那在下一頁看到就是整個不友善的法律規範我們會覺得比較沒有辦法讓我們的整個自行車在行走的時候比如我們的標線車道就連續性比較不足入口的設計又中斷 還有 |
transcript.whisperx[502].start |
14123.375 |
transcript.whisperx[502].end |
14146.391 |
transcript.whisperx[502].text |
現在目前法規規定的法定超車側向間距是50公分全球事實上是最低可是在宣導的時候又說要1公尺我就不知道說法定是講50然後宣導的時候講1公尺一個50公分跟1公尺差很多那我就不知道說可是如果50公分的話的確事實上是比較過於狹隘比較沒有辦法再做這樣的法定超車 |
transcript.whisperx[503].start |
14147.231 |
transcript.whisperx[503].end |
14164.548 |
transcript.whisperx[503].text |
這個我不知道是不是可以去做考量去做調修法令如果有需要修訂的話有需要修正我們再來做修正這個沒有問題我們來做檢討再麻煩那因為我們現在看又希望推動那個綠色運輸可是自行車使用率是逐年衰退的 |
transcript.whisperx[504].start |
14165.789 |
transcript.whisperx[504].end |
14169.492 |
transcript.whisperx[504].text |
跟國際的趨勢呢事實上是背道而馳所以我們的2009年的5.6%降到2020年只剩下2.9%可是道路環境如果不改善的話沒有配套的話大家很難達到所以也麻煩我們交通部針對於這一塊是不是應該邀請 |
transcript.whisperx[505].start |
14185.383 |
transcript.whisperx[505].end |
14211.033 |
transcript.whisperx[505].text |
請我們的地方政府能夠一起共同來研商去做討論如果這有牽扯到內政部的話就是不是可以因為交通我們覺得主政還是在你這邊是不是可以邀請內政在都市裡面都是內政部需要我們去邀請他們我們會去邀請都市事實上是內政可是我覺得公路的話有些還是在你們的範圍希望能夠兼顧安全跟現實需求而且我想江部也是在推人本交通為本以上謝謝 |
transcript.whisperx[506].start |
14212.653 |
transcript.whisperx[506].end |
14236.836 |
transcript.whisperx[506].text |
好 謝謝林業勤委員現在請陳俊宇委員執行好 謝謝主席 我們有請陳部長好 交通部陳部長 |
transcript.whisperx[507].start |
14241.089 |
transcript.whisperx[507].end |
14243.479 |
transcript.whisperx[507].text |
好 部長午安委員好 午安 |
transcript.whisperx[508].start |
14244.568 |
transcript.whisperx[508].end |
14272.421 |
transcript.whisperx[508].text |
我們基隆到石垣島的這個渡輪航線預計在今年的九月份要開啟了那也是大家所期盼的一條新的這個旅遊觀光的一個航線那目前初步規劃每週是三班的航次往返那我想要就教部長就是說這一艘船未來他定位就是石垣島跟這個基隆往返最主要的一個船隻 |
transcript.whisperx[509].start |
14274.382 |
transcript.whisperx[509].end |
14301.561 |
transcript.whisperx[509].text |
那他除了每週三班的這個航線以外其餘的時間是否可以來增加一個航線從基隆到蘇澳到石垣石垣到蘇澳到基隆是不是可以四航一班有沒有辦法因為這之前我也提過說有沒有機會讓一艘這個渡輪可以來作為我們藍色公路的一個替代包委目前這個船公司還在申請當中 |
transcript.whisperx[510].start |
14302.902 |
transcript.whisperx[510].end |
14330.953 |
transcript.whisperx[510].text |
那也都還沒有真正定案在定案之後當然航商他一定會去思考他的船的使用率一週只有三班會不會使用率太低他一定會思考這個問題那當他思考這個問題的時候或許我們就可以建議他有沒有可能把蘇澳也加進來這個部分我們來協助跟他溝通因為這一艘船未來如果可以的話我還希望說可以跑基隆 蘇澳 花蓮花蓮 蘇澳 基隆 |
transcript.whisperx[511].start |
14331.823 |
transcript.whisperx[511].end |
14347.271 |
transcript.whisperx[511].text |
因為現在塑化公路的這個穩定性大家都還會擔心那假設我們每週有固定的一個航班就好因為之前本來有一艘利納輪在跑那後來當然也是成本的問題所以利納輪也結束了 |
transcript.whisperx[512].start |
14347.811 |
transcript.whisperx[512].end |
14374.263 |
transcript.whisperx[512].text |
那是不是未來如果石原島的這一艘郵輪在他這個往返石原島的這個控雨的時間如果可以的話我要拜託我們交通部是不是可以跟他們協商一下來增加這兩個航線讓我們這個藍色公路的部分可以有一個希望報告委員我們藍色公路的部分目前正在做整體的規劃不是只有這艘船還有其他的船那我們會做整體的討論因為11月 |
transcript.whisperx[513].start |
14376.944 |
transcript.whisperx[513].end |
14403.139 |
transcript.whisperx[513].text |
去年11月的時候我們卓榮泰院長有到宜蘭去考察相關的交通建設那也在這個會議的過程裡面我也曾經建議說是不是可以來建置這個東部的一個藍色公路那卓院長非常認同他也認為說是未來政府積極要去構建的一個部分那我也請那個陳部長可以來協助幫忙看能不能完成這個有這個目標目前正在構建當中 |
transcript.whisperx[514].start |
14405.061 |
transcript.whisperx[514].end |
14428.002 |
transcript.whisperx[514].text |
再來就是我們目前台鐵公司在推規劃特色列車的促進觀光的工作之前在台中我們海豐號現在已經開始在南港到宜蘭往返也帶動了整個 |
transcript.whisperx[515].start |
14429.223 |
transcript.whisperx[515].end |
14451.659 |
transcript.whisperx[515].text |
這個東部的一個觀光的一個產值那這非常好那未來因為宜蘭縣目前還有22座的這個台鐵車站可能就是未來配合這個鐵路高架之後那是不是有一些車站會去再做更新或是這個架高的部分那我是希望說還沒有做之前我們一定要好好的規劃 |
transcript.whisperx[516].start |
14452.8 |
transcript.whisperx[516].end |
14473.069 |
transcript.whisperx[516].text |
像頭城的部分,北方的頭城的部分,它有一個漁鐵五漁村那是不是在這個車站的設計上也可以加入漁村的元素讓整個觀光的感覺可以下車站之後就可以感覺到已經來到一個漁村的觀光 |
transcript.whisperx[517].start |
14475.85 |
transcript.whisperx[517].end |
14495.561 |
transcript.whisperx[517].text |
這個場域讓民眾有一個感受那未來南部的地方就是在靠近這個蘇澳蘇澳也希望能夠來占庇這個魚鐵五魚村的概念這是現在目前地方積極在爭取當中那他們那邊也有一個五個車站是不是可以來搭配 |
transcript.whisperx[518].start |
14497.407 |
transcript.whisperx[518].end |
14506.527 |
transcript.whisperx[518].text |
北方的這個頭城跟南方的蘇澳讓整個宜蘭縣未來車站的這個特色可以在我們更新之後展現出來 |
transcript.whisperx[519].start |
14507.942 |
transcript.whisperx[519].end |
14533.03 |
transcript.whisperx[519].text |
這部分要請部長報告委員您所提醒的這件事我們會事先先考慮如果到時候真的要做更新的時候當然會融合地方的特色尤其是我們宜蘭蠻特別就是說沿線都有觀光的資源那如何結合地方的特色讓觀光的資源能夠充分發揮這個部分我們會來做考量因為暫停的這個美學改造是可以引進我們這個國際遊客的一個 |
transcript.whisperx[520].start |
14533.73 |
transcript.whisperx[520].end |
14556.038 |
transcript.whisperx[520].text |
很重要的門面把整個場站裡面的後車的空間都能夠翻新之後我相信再加上建置出入口很多的無障礙的空間一定可以讓遊客在車站通行的時候能夠有一個非常好的出入空間這要拜託我們交通部 |
transcript.whisperx[521].start |
14558.62 |
transcript.whisperx[521].end |
14583.081 |
transcript.whisperx[521].text |
簡單問一下就是我們5月5號那個高鐵延伸的部分初步的這個環境影響評估初審這部分現在目前補件的程序到哪裡了我們今天已經把這個補件的相關的公文跟書件都送到環境部那應該沒問題是的我們會再來協調環境部的儘速召開第二次的這個專案小組審查會議 |
transcript.whisperx[522].start |
14583.962 |
transcript.whisperx[522].end |
14604.231 |
transcript.whisperx[522].text |
好 這要拜託部長 拜託局長因為後面七月份還有一個初審嘛接下來才有正式的審查所以這個部分 相關的補件可能要拜託鐵道局這邊積極的辦理有 我們都按照期程在辦理好 未來這個宜蘭的重大交通建設真的要拜託我們交通部盡量來協助好 我們來努力好 謝謝部長 謝謝局長好 謝謝陳俊宇委員的執行現在請黃建斌委員執行 |
transcript.whisperx[523].start |
14621.567 |
transcript.whisperx[523].end |
14636.034 |
transcript.whisperx[523].text |
好謝謝主席我們有請陳思凱部長還有台鐵的鄭光源董事長現在請陳部長鄭董事長那個總經理也來幫忙一下總經理 |
transcript.whisperx[524].start |
14638.124 |
transcript.whisperx[524].end |
14662.679 |
transcript.whisperx[524].text |
委員好部長好 董事長好 海總經理好今天是董事長生日第一次來我們立法院來備詢嘛首先本席先跟董事長恭喜那過去本席跟台鐵的互動一直都非常的密切互動也很良善未來我們希望可以去延續這樣的互動一起為我們台東的交通來努力那因為時間的關係本席就直接切入重點 |
transcript.whisperx[525].start |
14663.78 |
transcript.whisperx[525].end |
14691.999 |
transcript.whisperx[525].text |
最先沒電話 再乘車 本身是要問的議題啦這樣 本市進來立法院之後就不斷地跟我們轉來反映台東的大眾交通運輸不像西部西部有高鐵 有台鐵 有客運 有高速公路有快速道路 有捷運 有輕軌台東除了昂貴的飛機票之外我們就只有這一條鐵路在大眾運輸來說那很一樣的 目前僅剩的這條鐵路台東人都缺乏安全的保障 |
transcript.whisperx[526].start |
14692.839 |
transcript.whisperx[526].end |
14707.578 |
transcript.whisperx[526].text |
我們從2018年的普瑪號事件到2021年的太魯閣號事件造成數十人喪生 數十個家庭破碎 數百人受傷造成我們東部人永遠無法撫平的傷痛 |
transcript.whisperx[527].start |
14708.419 |
transcript.whisperx[527].end |
14733.696 |
transcript.whisperx[527].text |
那去年的0403強震又造成東部鐵路公路嚴重的破壞然後到現在我們中央承諾的台鐵宜花東地區鐵路設施安全改善計畫進度嚴重的延宕那花東快速道路先前就被我們交通部以經濟效益低退回我想你不給台東人一條安全回家的道路現在卻要調漲台東人的票價這樣對台東人有公平嗎 |
transcript.whisperx[528].start |
14736.758 |
transcript.whisperx[528].end |
14752.297 |
transcript.whisperx[528].text |
那去年本席兩度在立法院提案通過就是要求我們將在東部災害災損恢復之前動漲台鐵台東東部的這個東部幹線票價那未來票價的方案也應該要考慮到我們整個花東運輸的特殊的 |
transcript.whisperx[529].start |
14753.679 |
transcript.whisperx[529].end |
14765.306 |
transcript.whisperx[529].text |
這個原因來做調整那當時獲得交通部還有台鐵的承諾那到現在台北到台東的志強號全票來回飆漲了306進了票來回飆漲了152那高雄到台東的志強號來回票漲了246進了票來回漲了124元 |
transcript.whisperx[530].start |
14774.272 |
transcript.whisperx[530].end |
14799.403 |
transcript.whisperx[530].text |
那全票票價漲幅最高高達33.98%那最可怕的是我們台東其實老人人口非常多沒有想到我們的敬老票價也高漲幅也高達了34.26那這樣一漲里外的遊子來台東讀書的學生仰賴台東觀光的業者還有必須仰賴台鐵出院門的這些長輩負擔非常的沉重那本席不斷的強調公佈票價動漲不是特權 |
transcript.whisperx[531].start |
14804.045 |
transcript.whisperx[531].end |
14815.543 |
transcript.whisperx[531].text |
是台東人應有的平權我想不論是直接折扣或是政府的補貼應該都要看見我們東部交通的困境那即便我知道這樣的訴求會面對很多的冷嘲熱諷 |
transcript.whisperx[532].start |
14819.755 |
transcript.whisperx[532].end |
14834.635 |
transcript.whisperx[532].text |
我想中央也不見得聽得見不過面對這樣的狀況我想台中的困境之外先是無法無法理解跟想像因此我還是要堅定的為台東發聲我希望中央能夠遵守承諾動漲東部幹線的票價那另外 |
transcript.whisperx[533].start |
14835.276 |
transcript.whisperx[533].end |
14863.99 |
transcript.whisperx[533].text |
我也要跟台鐵董事長來反映很多台東的大學生來跟本席反映說過去我們台鐵有比較那個台東給台東學生的這個折扣的這個票價的折扣那現在卻沒有那因此本席具體的建議台鐵應該比照高鐵像現在當初你之前在隔壁我們這塊這個保溫嘛針對這個離峰時段的車次給予學生票價優惠我們不但可以讓學生的成本降交通成本降低也可以降低我們空位率的 |
transcript.whisperx[534].start |
14864.71 |
transcript.whisperx[534].end |
14878.966 |
transcript.whisperx[534].text |
的情況減少損失同時也可以刺激我們東部的觀光請問董事長這邊是不是可以來研議這部分委員好我想我們這部分的話對大學生的這部分我們可以來考慮看看 |
transcript.whisperx[535].start |
14880.441 |
transcript.whisperx[535].end |
14905.857 |
transcript.whisperx[535].text |
所以再多的大學生都覺得 同時在高鐵的整個經驗風險非常成功讓高鐵整個轉靠運營很重要那我相信期待董事長來到台鐵之後也能夠帶動整個我們台鐵的經營方式那最重要的還是要再次呼籲請中央能夠正視 部長也要請正視我們東部交通的困境那這裡拜託部長 拜託董事長要很建立那以上 本期的質詢到此 謝謝謝謝委員好 |
transcript.whisperx[536].start |
14913.096 |
transcript.whisperx[536].end |
14931.652 |
transcript.whisperx[536].text |
下一位請張雅琳委員謝謝主席,我們先有請矢澤董事長董事長待會再請部長 |
transcript.whisperx[537].start |
14937.615 |
transcript.whisperx[537].end |
14962.993 |
transcript.whisperx[537].text |
我想請教董事長因為今天其實你已經也公佈了就是說你對於高鐵的2.0的一個期待跟規劃那我想請教你請問一下我現在有看到這個暑假高鐵有推出這個少年票但是你知道嗎我們現在在兒童的部分我們是有半價的票然後我們在大學生的部分有五折到八折左右不等的但是我們的青少年的票12到18歲你知道他是付什麼樣子的價格嗎 |
transcript.whisperx[538].start |
14964.802 |
transcript.whisperx[538].end |
14993.808 |
transcript.whisperx[538].text |
他是在暑假限定的部分對可是他平常呢平常是沒有折扣的平常他就是成人權票喔這裡有非常多的家長來跟我陳情喔就是說為什麼我們對於18歲以上的大學生都有補助可是我們對18歲12到18歲這一塊是完全沒有折扣跟優惠等於是說小孩子過12歲以後家長就要把他付出一個等同是成人票的價格這非常的奇怪那甚至有兒少代表在上個禮拜的時候呢他也有對我說 |
transcript.whisperx[539].start |
14995.369 |
transcript.whisperx[539].end |
15013.485 |
transcript.whisperx[539].text |
他其實每一個月大概會有一到兩次會來到台北那有時候呢如果是參加政府部門的會議的話會補助交通費可是如果是開記者會或是其他的一些諮詢會議例如我們的公聽會或是我們的座談會等等的一年大概有三到四次他是要自己付費的 |
transcript.whisperx[540].start |
15014.085 |
transcript.whisperx[540].end |
15035.528 |
transcript.whisperx[540].text |
好等於是說他要付9000到12000的費用可是如果今天是大學生上來開會的時候他只要付4500到6000所以我會認為說今天我們要做高鐵2.0的時候我們是不是也可以把青少年的這一個部分的學生票價是不是可以有一些方案來支持呢不曉得董事長您的想法是什麼 |
transcript.whisperx[541].start |
15036.564 |
transcript.whisperx[541].end |
15054.903 |
transcript.whisperx[541].text |
好 謝謝委員我想這確實是一個課題啦 我承認啦但是可能要給我們一些時間來研究一下因為這個大學生會有這樣的優惠當然是因為我們普遍覺得大學生是有非常眾多是離開家鄉去外地就學 |
transcript.whisperx[542].start |
15056.004 |
transcript.whisperx[542].end |
15076.701 |
transcript.whisperx[542].text |
那兒童票12歲以下這是法定的規定所以剛好就是這一段這個中間的這個12到18嘛變成一個這個大家好像忽略之處啦所以我們事實上是用暑假的少年票來彌補但是委員剛剛講說是不是能夠變成一個普遍性的這個措施是不是給我們一些時間來研究因為這個考慮到這個相關的這個計算的問題 |
transcript.whisperx[543].start |
15078.906 |
transcript.whisperx[543].end |
15093.32 |
transcript.whisperx[543].text |
我想你們可能會去計算的例如就是說到底損失會有差多少嘛對不對所以是有一些精算的部需要去精算嘛那這個部分大概需要多久的時間呢我想至少要給我們三個月的時間 |
transcript.whisperx[544].start |
15093.68 |
transcript.whisperx[544].end |
15121.308 |
transcript.whisperx[544].text |
三個月的時間好喔沒關係那我們就三個月之後我希望這份報告也可以提供給我們讓我們一起來看看到底這個部分是可不可行這樣子那我這邊也再提一下為什麼說我們不能夠只有暑假有因為我想過去部長就是董事長您過去也擔任過文化部長對不對我們其實有推出了很多希望少年可以去親近藝術親近博物館親近很多文化空間的一些活動 |
transcript.whisperx[545].start |
15122.068 |
transcript.whisperx[545].end |
15138.836 |
transcript.whisperx[545].text |
那這些活動需不需要交通費可能是會要的因為我們不能從台北的角度在思考有非常多的小孩 青少年他必須要從南部移動到台北那甚至我們教育部自己都有15到35歲的一個青年撞遊的計畫那等於是說今天大家都拿到一樣的補助 |
transcript.whisperx[546].start |
15140.818 |
transcript.whisperx[546].end |
15152.387 |
transcript.whisperx[546].text |
這個青少年國高中生要負擔的交通費會先比大學生多所以這部分我是希望就是董事長您一定要來為這些年輕的孩子這些青少年 |
transcript.whisperx[547].start |
15153.601 |
transcript.whisperx[547].end |
15182.465 |
transcript.whisperx[547].text |
不管是這個學習的教育的禁用性文化的禁用性上面來做一個思考那我想也給就是董事長一個簡報分析一下其實在歐日他們都有針對於學生譬如就大學以下從大學到以下的學生會有一些同等的優惠那其實概念都是一樣的概念就是希望說讓他們可以去了解這個國家不同的地方他們可以去撞遊所以我會認為這件事情是必要的 |
transcript.whisperx[548].start |
15182.865 |
transcript.whisperx[548].end |
15199.831 |
transcript.whisperx[548].text |
那不曉得說剛聽起來是說三個月之後會有一個可能初步的一個規劃的方向嘛對不對精算之後可能會有一個委員報告過去我在文化部事實上文化幣也是我辦的嘛對那也是我讓他下下延伸到15歲現在更向下的延伸了對沒錯不過這個距離確實是一個體驗的一個 |
transcript.whisperx[549].start |
15204.392 |
transcript.whisperx[549].end |
15227.703 |
transcript.whisperx[549].text |
必要的過程所以事實上您提的這個部分我們願意來仔細來研究好不好因為我希望就是說我們今天讓孩子不管是他參與公共事務也好或是他參與文化的活動也好都不應該會因為他可能無法負擔這麼高額的一個交通費而導致他無法參與這樣子的活動那最後我也想請部長可不可以部長就是我也想要針對這一題 |
transcript.whisperx[550].start |
15230.282 |
transcript.whisperx[550].end |
15232.243 |
transcript.whisperx[550].text |
大學生有時候是因為他就讀的地方跟他的住家其實有一段距離所以高鐵當時會有這樣的思考 |
transcript.whisperx[551].start |
15248.973 |
transcript.whisperx[551].end |
15267.573 |
transcript.whisperx[551].text |
但是大學以下的大部分都是在自己的都市周圍活動那有時候會因為要出遊或者參加活動那當然這個部分需要來考慮但不過我也是希望說呼籲一下年輕的學生如果有機會的話多搭台鐵也還不錯我們希望多一些人可以搭台鐵大家不要只思考高鐵 |
transcript.whisperx[552].start |
15268.494 |
transcript.whisperx[552].end |
15293.25 |
transcript.whisperx[552].text |
當然當然 可是像我也 我覺得大家也必須誠實的面對啦就是說有些會議啦 兒少代表要參加的會議可能就是他從高雄出來 像我們剛剛問的那個就是他從高雄出來他來到台北可能就會花非常多的時間所以對他來說 這個我們可以來討論對 所以我覺得還是要去考量到因為我剛剛講的這個是不管是日本的JR包含日本的新幹線也都有提供相關的優惠那這個部分也希望部長跟一起來支持一起來討論 好 謝謝謝謝 謝謝委員好 謝謝張雅玲委員 |
transcript.whisperx[553].start |
15299.738 |
transcript.whisperx[553].end |
15320.453 |
transcript.whisperx[553].text |
部長已經開始幫台鐵在拉生意了下一位請林國成委員 召委發言好 謝謝我們主席請交通部陳部長台鐵政董事長 高鐵石董事長 |
transcript.whisperx[554].start |
15333.893 |
transcript.whisperx[554].end |
15343.34 |
transcript.whisperx[554].text |
三位因為我就不一無稱呼最主要我一向主張是這樣理性來問政但是 |
transcript.whisperx[555].start |
15344.441 |
transcript.whisperx[555].end |
15362.383 |
transcript.whisperx[555].text |
從小問題來解決小問題解決就沒有大問題這是我一項不管我在當議員不管我在當立委我的原則是這樣但是我說實在啦交通的東西我極力反對有政治思想 |
transcript.whisperx[556].start |
15363.064 |
transcript.whisperx[556].end |
15375.941 |
transcript.whisperx[556].text |
所以大家可以看得出來從這一年多來我從來不會把政治掛帥這是我的原則但是我們就就事論事來談問題當然我們也尊重 |
transcript.whisperx[557].start |
15378.945 |
transcript.whisperx[557].end |
15394.475 |
transcript.whisperx[557].text |
我們陳部長 左院長他來任用這兩位當然啦 如果你往好的方面去想當然都有專精啊那你往壞的方面去想確確實實有很多質疑啊 |
transcript.whisperx[558].start |
15395.515 |
transcript.whisperx[558].end |
15412.822 |
transcript.whisperx[558].text |
那當然因為既然都已經接任那唯一就只有一個問題什麼問題為所有的高鐵台鐵去把它做得更完善這是非常重要的來那個台鐵我們鄭董事長 |
transcript.whisperx[559].start |
15414.58 |
transcript.whisperx[559].end |
15435.4 |
transcript.whisperx[559].text |
我要跟你談的就是有小問題就會有大問題但是這裡面可以看得出來我感覺到非常奇怪怎麼董事長6月16號就任6月17號 6月18號 6月19號一連串的都是一些小問題 |
transcript.whisperx[560].start |
15436.792 |
transcript.whisperx[560].end |
15461.998 |
transcript.whisperx[560].text |
那早不發生晚不發生你就任以後都是發生這些可以預防而不該發生的問題啊都發生所以我舉例啊就是在七堵車庫車輛臨檢的時候未依照SOP這裡面喔這裡面發生就是散報的問題那個部長 |
transcript.whisperx[561].start |
15465.114 |
transcript.whisperx[561].end |
15486.336 |
transcript.whisperx[561].text |
還有總經理應該你知道可是這裡最不可以原諒來鄭董6月19號花生賞報6月24號又花生這代表什麼就代表麻痺麻痺都不能解決但是這些事情花生 |
transcript.whisperx[562].start |
15487.537 |
transcript.whisperx[562].end |
15513.611 |
transcript.whisperx[562].text |
其實也不是董事長你叫他發聲可是這個就代表什麼我們內部橫向的這些聯繫跟我們掛有五個副總經理都沒有辦法發揮功能但是你們這五個副總經理都有各有棋子啊各有管轄那為什麼會發生這個事情 |
transcript.whisperx[563].start |
15515.063 |
transcript.whisperx[563].end |
15538.801 |
transcript.whisperx[563].text |
董事長為什麼其實這個6月19號這個發生七堵車窟的這個發生這個所謂的散爆這個問題這個也是因為沒有遵照SOP本來你要這個斷電的話你是兩邊兩端的這個接力線都要把它弄掉你才能夠做但是你只做一端那一端沒做那這樣就爆掉了那也是完全沒有做SOP的問題 |
transcript.whisperx[564].start |
15539.562 |
transcript.whisperx[564].end |
15561.832 |
transcript.whisperx[564].text |
那6月20號應該也是完全一個意思至於6月21號站這個站會員情緒失控這個也是教育的問題因為這個組員可能他臨時他可能情緒上有失控那這個也是我們的教育的問題所以在這怎麼做的話我想這就是剛才就要這個橫向的溝通 |
transcript.whisperx[565].start |
15564.873 |
transcript.whisperx[565].end |
15583.153 |
transcript.whisperx[565].text |
一向的溝通裡面另外就是說要有當則那麼就是說我們是要把這些看起來是小事把它分門別列譬如說我去年總共發生了979件的大大小小的事情那今年我們怎麼樣把它降下來所以我現在採取一個方式就是說 |
transcript.whisperx[566].start |
15584.094 |
transcript.whisperx[566].end |
15597.952 |
transcript.whisperx[566].text |
噴成北中南區每一個區你好好去檢討你這些問題在哪裡然後找出它的原因那怎麼樣把這些減到最低我現在準備從這個禮拜開始已經準備要開始了每個禮拜來檢討 |
transcript.whisperx[567].start |
15599.533 |
transcript.whisperx[567].end |
15611.942 |
transcript.whisperx[567].text |
我對你有信心啦因為我想我的代理主席都對你期待這麼高我也沒有什麼意見但是你是學企業的人的管理非常重要因為台鐵的問題他那種 |
transcript.whisperx[568].start |
15615.49 |
transcript.whisperx[568].end |
15630.465 |
transcript.whisperx[568].text |
非常結構性的沒有辦法去解決問題是非常嚴重所以我必須要跟馮總跟鄭董要特別提醒一下那另外一個我接下來我都談小問題談小問題那個不對吧那個漲價那個是誰的 |
transcript.whisperx[569].start |
15639.278 |
transcript.whisperx[569].end |
15664.138 |
transcript.whisperx[569].text |
好 那個另外一個就是便當的問題我跟你講 我也替你們便當做過行銷但是 風評還不錯但是 董事長這個也是我們金雞母之一啊除了我們現在是花東線賺錢接下來就是我們的便當賺錢耶保證 我跟你講 這裡面為什麼最近 |
transcript.whisperx[570].start |
15669.242 |
transcript.whisperx[570].end |
15683.793 |
transcript.whisperx[570].text |
這個蟑螂的問題會這麼嚴重我吃很多下去我們陳學生前召委他每次在當召委都是要指定台鐵便當我也不知道吃多少下去為什麼這個衛生品質這麼差要不要改要不要改蟑螂蛋白質多 |
transcript.whisperx[571].start |
15694.049 |
transcript.whisperx[571].end |
15716.864 |
transcript.whisperx[571].text |
這個跟委員報告這個當然要改那尤其是像便當裡面發生這個小蟑螂其實是完全是不應該董事長你不用解說啦我提出問題是要讓你改進是的我提出問題要部長知道這雖然很小的事但是小事就會變大事啊 |
transcript.whisperx[572].start |
15717.662 |
transcript.whisperx[572].end |
15740.801 |
transcript.whisperx[572].text |
你知道嗎 還好是沒有集體那種複卸的那如果這樣的話 我們的金招牌就會蕩然無存啦董事長 總經理 這個你們要去注意啦衛生很重要 好不好好 請你謝忻好 那個鄭董 來 接下來高鐵主席 給我一點時間來 |
transcript.whisperx[573].start |
15744.844 |
transcript.whisperx[573].end |
15757 |
transcript.whisperx[573].text |
我想時事董事長啊當然啦因為一上任啊大家可能對你有質疑啦但是剛好高鐵該做的都已經做但是小問題還是要解決 |
transcript.whisperx[574].start |
15758.052 |
transcript.whisperx[574].end |
15783.983 |
transcript.whisperx[574].text |
我舉例你過去對文化這些有非常重視那你過去當勞保局的總經理也對勞工心生有所以我要勉勵你第一個對工會要持以尊重溝通第二個對文化現在高鐵就是這樣嘛硬體方面各方面的營運都沒有問題了嘛 |
transcript.whisperx[575].start |
15785.936 |
transcript.whisperx[575].end |
15802.947 |
transcript.whisperx[575].text |
但是現在就是什麼小問題該改進的就改進所以很簡單我們現在我們現在接下來好我要跟你講人家都已經世衛化在那個你們現在販賣機還要投幣這個沒辦法你們的水準這麼高 |
transcript.whisperx[576].start |
15810.046 |
transcript.whisperx[576].end |
15826.229 |
transcript.whisperx[576].text |
阿耍下去服務態度這麼滿意但是為什麼這個販賣機還要再投幣還要再投幣人家現在不是耶義卡不管是任何一個義卡通貨什麼一逼錢就出來了啊 |
transcript.whisperx[577].start |
15828.05 |
transcript.whisperx[577].end |
15850.195 |
transcript.whisperx[577].text |
這個數位支付的普遍化 連路邊攤都這樣咧 啊咱個體是水準穿高的咧為什麼這個不改 所以我要建議 石董事長雖然小事 但是董事長注意 總經理去執行我相信 你們也有很多副總經理啊 各格都有在 我一向主張 |
transcript.whisperx[578].start |
15851.417 |
transcript.whisperx[578].end |
15870.877 |
transcript.whisperx[578].text |
就是要集體領導分工合作這樣才擺祕不會有意思啊不是只有全部高鐵的事情通通都是怪董事長這點我也不認同但是董事長要去做領導之作用所以這個可以盡量改嘛 |
transcript.whisperx[579].start |
15871.872 |
transcript.whisperx[579].end |
15887.757 |
transcript.whisperx[579].text |
那最後一個也是小問題那大家已經吵了老半天的就是行動電話你們這個解決我跟你講高鐵我們常做很簡單七成的地方是接得到的 |
transcript.whisperx[580].start |
15889.341 |
transcript.whisperx[580].end |
15905.989 |
transcript.whisperx[580].text |
三層的地方是接不到那南道都沒有辦法去現在我們數位部都已經在這裡連結了你們各個電信公司已經講了十幾年十幾年的立法委員都要求你們改 |
transcript.whisperx[581].start |
15906.849 |
transcript.whisperx[581].end |
15934.836 |
transcript.whisperx[581].text |
可是都沒有辦法改這個我也要給石董事長給你一個課題雖然小問題但是如果解決了以後就是使得董事長改變這些客戶百分之百服務的這些態度所以我還是這樣啦你們也不要答覆啦你們現在答覆起來我不太喜歡那種官樣的答覆但是我要讓部長知道這些雖然小問題 |
transcript.whisperx[582].start |
15935.836 |
transcript.whisperx[582].end |
15951.979 |
transcript.whisperx[582].text |
但是這個批評下去人家質疑下去小問題解決就沒有大問題所以我要啟齊兩位董事長花灰你們的專才該解決的一定要解決這樣人家才會看看到真正 |
transcript.whisperx[583].start |
15952.947 |
transcript.whisperx[583].end |
15981.241 |
transcript.whisperx[583].text |
台鐵在拖變 高鐵在成長這樣的話老百姓對於在陳士凱部長的領導之下讓人家感覺完全不一樣的這些拖變這是我要特別要啟齊 好不好好 所以...好 謝謝好 各位觀眾朋友 謝謝台鐵便當是我的最愛給他鼓勵 不要給他漏氣 好不好 |
transcript.whisperx[584].start |
15983.263 |
transcript.whisperx[584].end |
16004.476 |
transcript.whisperx[584].text |
鄭董一定可以完成任務行動電話那個行動電源部長你可以跟中華電信交代一下可以處理的你們現在在火車站有沒有在高鐵上面有時候接不到電話中華電信絕對可以處理你交代他們就交代那個董事長去辦閒董去辦嘛好下一位請張祺凱委員發言 |
transcript.whisperx[585].start |
16018.76 |
transcript.whisperx[585].end |
16045.205 |
transcript.whisperx[585].text |
來請保定好 那個交通部陳部長委員好部長是21號啊 台北市這個街頭在這個中號東樓啊 叫這個新生南路口發生一件非常嚴重的這個車禍他是一位77歲的這個耐性男子 他駕駛的是這個吊車 |
transcript.whisperx[586].start |
16047.615 |
transcript.whisperx[586].end |
16075.558 |
transcript.whisperx[586].text |
結果啊他行進這個路口的時候他轉彎的時候他撞倒了前面的三部車子其中有一位是18歲一個女騎士他因為慢慢這個車子點壓過去當場就死亡了另外一位男騎士是受傷了這不幸肅爛這個18歲的這個女性她媽媽在整理她遺物的時候她看著照片說 |
transcript.whisperx[587].start |
16077.58 |
transcript.whisperx[587].end |
16102.686 |
transcript.whisperx[587].text |
我女兒啊當下是多麼痛苦她媽媽說她的女兒青春才開始18歲而且她是在守法的狀況下喔她那時候是騎車 機車停在紅燈等候區這件很難過的事情她兩個問題非常嚴重 |
transcript.whisperx[588].start |
16105.546 |
transcript.whisperx[588].end |
16131.317 |
transcript.whisperx[588].text |
就是我們高齡啊 長輩開車的 開車這個問題而且是吊車的問題 這個等一下要好好檢討另外一個讓我們也是心震膽跳的這個理性發生的事情有可能在台北街頭有可能是我們任何一個人都會碰到的他完全守法 否定他在完全守法的一個狀況下發生在他身上的事情有可能發生在我跟你身上 |
transcript.whisperx[589].start |
16132.62 |
transcript.whisperx[589].end |
16144.912 |
transcript.whisperx[589].text |
這是很嚴重的一個事情所以今天我要很沉重的檢討這個個案包括這個駕駛說他是途中有身體不舒服我也想從制度面來解決這個問題現在我們台灣要駕駛這個吊車 |
transcript.whisperx[590].start |
16150.526 |
transcript.whisperx[590].end |
16168.066 |
transcript.whisperx[590].text |
我去看了這個規定就是道路交通安全規則83條12他現在就是零有大貨車他就可以去開這個吊車了第二個他完全沒有連寄的這個限制對不對 |
transcript.whisperx[591].start |
16170.273 |
transcript.whisperx[591].end |
16198.699 |
transcript.whisperx[591].text |
可是我們來做個對比我們來看看那現在開計程車開計程車啊他年紀限制是在20歲以上60歲65歲以下那如果最多最多你通過一些體檢最多最多上限就到70啊然後如果是大型的客車跟公車才68歲結果現在發生這個開吊車完全沒有年紀的這個限制是不是應該考慮保定在年紀上要做一些修正 |
transcript.whisperx[592].start |
16200.097 |
transcript.whisperx[592].end |
16229.43 |
transcript.whisperx[592].text |
報告委員這個部分我們會來做檢討啦這個部分確實它是特種車不算是職業駕駛對於職業駕駛我們是要求是68歲那因為它是特種車不算在職業駕駛裡面所以它並沒有這樣子的限制那這個部分我們會來做檢討因為已經發生很嚴重的一個事情我剛剛講它發生這個漢氏是有可能發生在台灣每一個人的身上它完全守法啊所以以後是什麼你騎著車出去或者你走路在馬路上如果碰到這個大型的機具 |
transcript.whisperx[593].start |
16231.161 |
transcript.whisperx[593].end |
16254.946 |
transcript.whisperx[593].text |
就可能會出狀況所以我今天具體提三個建議的好不好對於這個大型機具的這個駕駛啊年紀是不是上限應該要往下修要訂個上限而且可以比照我們就比照駕駛的這個年紀我們的職業駕駛的其實不都超過60、68歲嗎好不好盡量往這個方向來走訂一個上限然後68歲是一個第二個 |
transcript.whisperx[594].start |
16256.389 |
transcript.whisperx[594].end |
16270.925 |
transcript.whisperx[594].text |
現在只有這個簡易這個認知的測驗嘛我們明確的要求實際倒入駕駛的這個技能的這個測驗強化他這個實際駕駛這個能力好不好這個應該是馬上可以做好不好因為他身體沒鬆開啊連續大本來就有風險嘛 |
transcript.whisperx[595].start |
16275.031 |
transcript.whisperx[595].end |
16304.109 |
transcript.whisperx[595].text |
好不好第二個這個趕快做那第三個如果是一定年紀上的他要開這個吊車要有些限制例如說晚上是不要開或者是不要太高速還有剛剛講的駕駛的實際的技能要去強化好不好我們保障每個人然後講一方面是開車的人可能這樣也是比較危險的第二個每個行車騎車的人路人安全都順便保障好不好我們期待不要再有這樣悲慘的事情發生這三大要求 |
transcript.whisperx[596].start |
16304.949 |
transcript.whisperx[596].end |
16314.575 |
transcript.whisperx[596].text |
好不好所以你回去我們來研議好不好好 謝謝希望不要再有這樣的悲劇發生我們每個人在路上不管騎車走路都是安全的謝謝好 謝謝委員謝謝張祺凱委員的執行現在請鄭天才委員執行 |
transcript.whisperx[597].start |
16337.308 |
transcript.whisperx[597].end |
16365.373 |
transcript.whisperx[597].text |
主席有請交通部陳部長交通部陳部長還有台鐵公司台鐵公司鄭董事長部長好委員好還有這個我們鄭董事長好委員好這個我們非常期待這個鄭董事長這個能夠到台鐵 |
transcript.whisperx[598].start |
16367.312 |
transcript.whisperx[598].end |
16392.854 |
transcript.whisperx[598].text |
這個因為台鐵有很多需要去這個電格的地方這個我是台鐵的最長的顧客這個因為我住花蓮我的險區又是全台灣所以常常常常坐火車好我們看這個台鐵歐茲斯基最近的例子 |
transcript.whisperx[599].start |
16394.434 |
transcript.whisperx[599].end |
16419.806 |
transcript.whisperx[599].text |
最近的例子台鐵七堵機誤斷閃報以人為疏失太魯閣號也出包這是最近6月20號的那這個剛剛講的台鐵右船閃報這個是這個在這個最近也是最近的6月20號當然這個 |
transcript.whisperx[600].start |
16423.496 |
transcript.whisperx[600].end |
16450.737 |
transcript.whisperx[600].text |
南港這個業台這個也產生這個一個旅客採空艦險好所以剛擠的很多其實很多所以很多需要去改進的安全最重要好我就擠一個這個也擠一個例子台鐵這個線上換票就是一般座位心事強好讓董事那個董事長知道 |
transcript.whisperx[601].start |
16452.806 |
transcript.whisperx[601].end |
16458.049 |
transcript.whisperx[601].text |
這個新志強號有所謂的騰雲座艙騰雲座艙就是高鐵的商務艙一樣這個也是一個車廂我也講了很多次 |
transcript.whisperx[602].start |
16468.444 |
transcript.whisperx[602].end |
16494.892 |
transcript.whisperx[602].text |
最近才可以線上換票他本來訂了這個一般的座位他要改這個上屋的以前都不行了現在可以了現在還是一個唯一從新職講號台鐵營運開始已經很多年囉如果我我買了一般座位然後要去 |
transcript.whisperx[603].start |
16496.892 |
transcript.whisperx[603].end |
16524.818 |
transcript.whisperx[603].text |
跟這個列車長說我要換因為還有空位嘛商務商還有空位騰訊桌上還有空位所以我要去換我要加價不行喔台鐵不行高鐵一直都可以我也常坐高鐵因為我的西部要到高雄到屏東也要坐高鐵都可以喔所以這個部分台鐵 |
transcript.whisperx[604].start |
16526.621 |
transcript.whisperx[604].end |
16537.402 |
transcript.whisperx[604].text |
是不想賺錢還是怎麼樣他說系統沒有然後又說我沒有授權之類的我都沒有表明身份我都沒有表明我是立委他們也不認識我 |
transcript.whisperx[605].start |
16539.59 |
transcript.whisperx[605].end |
16561.367 |
transcript.whisperx[605].text |
他說不行我說你要建議啊我說他會建議建議很多年了謝謝委員的建議五月份開始這個部分已經可以了這個部分是這樣我只是舉例子讓董事長知道台北有很多需要改革的地方接下來比較需要這個 |
transcript.whisperx[606].start |
16567.535 |
transcript.whisperx[606].end |
16596.747 |
transcript.whisperx[606].text |
也希望部長還有我們的這個董事長支持的漲價啦台鐵已經漲價了這個台北到花蓮漲了32.51%比這個平均調幅26.8還高嘛高雄到台東一樣調漲34.41%也調漲所以本席啊一再的跟部長還有前任的台鐵董事長提到希望 |
transcript.whisperx[607].start |
16598.353 |
transcript.whisperx[607].end |
16616.39 |
transcript.whisperx[607].text |
台東花蓮的部分能夠能夠不要漲價但是已經漲了所謂提了一個優惠方案那提的這個優惠方案我也質詢了很多次所以現在是用優惠方案需要有台鐵的會員台鐵的會員 |
transcript.whisperx[608].start |
16619.682 |
transcript.whisperx[608].end |
16646.225 |
transcript.whisperx[608].text |
那因為過去大家沒有習慣台鐵的會員現在突然要台鐵會員等於是也很難也做了那沒辦法所以本席也建議也發文給這個台鐵也曾經也在那邊質詢過就是說現在那個有優惠的部分優惠措施僅限涉及花東的部分那我是建議 |
transcript.whisperx[609].start |
16647.657 |
transcript.whisperx[609].end |
16668.098 |
transcript.whisperx[609].text |
第一個身份證UVU就是花蓮 V就是台東附籍身份證字號UV包括他的子女配偶另外就是說在花蓮台東就學就業的有台東大學 |
transcript.whisperx[610].start |
16669.093 |
transcript.whisperx[610].end |
16694.631 |
transcript.whisperx[610].text |
對不對 有東華大學在那邊念書的這些學生還不容易願意去那邊就業的也希望能夠尤其是老人啊老人他就不會用會員啊他就不會用會員是不是也能夠列入這個優惠當然我經費來我們不能給台鐵多了這樣的支出我會協調國發會啊 |
transcript.whisperx[611].start |
16698.806 |
transcript.whisperx[611].end |
16708.63 |
transcript.whisperx[611].text |
國發會希望用花東基金來去支應這個經費部長台鐵董事長我早上也有質詢國發會 |
transcript.whisperx[612].start |
16711.01 |
transcript.whisperx[612].end |
16735.203 |
transcript.whisperx[612].text |
希望趕快開會可以嗎報告委員在國發會開會的過程當中台東縣政府跟花蓮縣政府有表示不希望用國發基金這個花東基金不希望用國發會的花東基金所以也要拜託委員也跟地方政府去溝通一下請他們不要反對這件事不是不是這個部長我當然會跟那個國發會講 |
transcript.whisperx[613].start |
16737.924 |
transcript.whisperx[613].end |
16750.861 |
transcript.whisperx[613].text |
因為國會今天早上並沒有這樣說我看會議記錄裡面是這樣寫的第二個花東基金有屬於地商政府之用的部分他有分配 |
transcript.whisperx[614].start |
16752.522 |
transcript.whisperx[614].end |
16769.675 |
transcript.whisperx[614].text |
有屬於中央可以調配的部分就是要由國安會就中央調配的那個部分來去支應 好不好我們要繼續 我禮拜五我也希望大家都支持 我禮拜五開協調會時間的關係 張偉已經站起來很久了後面還有很多議題 下次我們再來好 謝謝 謝謝委員好 謝謝鄭天才委員的執行現在請王美惠委員執行 |
transcript.whisperx[615].start |
16790.273 |
transcript.whisperx[615].end |
16793.738 |
transcript.whisperx[615].text |
主席,我們請補充,還有請鐵道局、台鐵、高鐵的董事長 |
transcript.whisperx[616].start |
16806.837 |
transcript.whisperx[616].end |
16833.843 |
transcript.whisperx[616].text |
董事長 大家好在這裡本身想要跟我們講講長久以來應該是大家如果來到台北坐車的時候都會坐高鐵的因為高鐵的地點好不好遵時這是大家所認定的所以在這個過程當中我們看到保證對於我們的高鐵的當事長 |
transcript.whisperx[617].start |
16835.703 |
transcript.whisperx[617].end |
16843.988 |
transcript.whisperx[617].text |
的支持,所以派來變代替的可以是對的,但是在這個過程當中,我如果要回去坐車,我每天來,回去之後,臨盤的時間,我就會去車站看看,結果走著走著,剛好5月29日,我們的變動者應該是,我們台鐵的 |
transcript.whisperx[618].start |
16866.993 |
transcript.whisperx[618].end |
16890.031 |
transcript.whisperx[618].text |
總經理很了解,因為我們當事長那時候還沒來我在那裡走走,看看,我覺得你們的民進黨,比起台北市長還要慘你們知道嗎,你們在那裡開記者會的時候,我看到熊熊,看到扁桃我說,啊,這做得不錯,我剛在那裡,去哪裡簽一個名 |
transcript.whisperx[619].start |
16896.237 |
transcript.whisperx[619].end |
16899.88 |
transcript.whisperx[619].text |
他剛才問你,鍾英麗你覺得這個什麼來拜託一下,好不好鍾英麗,台灣世界,大陸製造的在你們的寶箱、你們的世界,你們敢不願意一下這個東西,台灣沒辦法做嗎? |
transcript.whisperx[620].start |
16927.182 |
transcript.whisperx[620].end |
16928.483 |
transcript.whisperx[620].text |
太煩惱啦總經理報告委員我們你還要解釋喔不用啦我們現在也是鼓勵國產的商品啦什麼鼓勵你們本來你們台鐵就要做台灣的東西什麼的鼓勵 |
transcript.whisperx[621].start |
16949.42 |
transcript.whisperx[621].end |
16970.189 |
transcript.whisperx[621].text |
搞不完 報告齁 因為這裏還沒來呢所以 我也覺得說 都看到你過去的在那裏的破片所以我問問 就你的財情 能不能代替的 做得更好 |
transcript.whisperx[622].start |
16971.562 |
transcript.whisperx[622].end |
16984.917 |
transcript.whisperx[622].text |
你看這個 這麼小小的 什麼台灣設計大量製造的 那是要找死人啦委員部 我們的條件 一定要以台灣製造為主 |
transcript.whisperx[623].start |
16987.182 |
transcript.whisperx[623].end |
17003.674 |
transcript.whisperx[623].text |
在這要當事長說我們有很多代替的不足的地方我問你在高鐵的所有的經驗可以拿過來代替的剛才有很多人說到代替有很多的問題跟一個便當、一個電話說實在當事長我問 |
transcript.whisperx[624].start |
17016.445 |
transcript.whisperx[624].end |
17028.851 |
transcript.whisperx[624].text |
可以在年底看出我們台鐵的武功本身也覺得這雖然是稍微事情但是我們也要鼓勵台灣的這些企業來做才對不是去給大陸 |
transcript.whisperx[625].start |
17039.871 |
transcript.whisperx[625].end |
17056.504 |
transcript.whisperx[625].text |
你如果說我們台灣又沒辦法做,跟人家又有專利,這樣你叫人家做,我沒胃口,這很簡單的東西啦,跟董事長說會改進啦,在這裡本身要說對,普通,跟我們的董事長,跟新的董事長在這裡,跟他去 |
transcript.whisperx[626].start |
17065.959 |
transcript.whisperx[626].end |
17069.081 |
transcript.whisperx[626].text |
最近這幾個月都講到清華的問題在這裡我要主席拜託一兩分鐘的時間給我因為清華是對一個社區所可以進步的溝通的東西所以長久以來,不管是地方 |
transcript.whisperx[627].start |
17093.847 |
transcript.whisperx[627].end |
17108.777 |
transcript.whisperx[627].text |
要做當然也好,要吃飯也好,但如果我們有願意,有來生,看什麼方法,可以管理的溝通也好 |
transcript.whisperx[628].start |
17110.134 |
transcript.whisperx[628].end |
17123.504 |
transcript.whisperx[628].text |
我相信部長在座的委員也好,我們兩位當事長也好,也應該是做管理來有這個建設,本身是怎樣的探討,你們說嗯,跟這個 |
transcript.whisperx[629].start |
17127.085 |
transcript.whisperx[629].end |
17140.075 |
transcript.whisperx[629].text |
清潔,又剃老的,剃刀子的,現在就是教育區的鐵路高架,我們的教育區的火車站 |
transcript.whisperx[630].start |
17141.381 |
transcript.whisperx[630].end |
17146.124 |
transcript.whisperx[630].text |
整個要刷去旁邊,新的要做一個新的,所以我們後面會轉運站是不是可以納入說,有退步的高鐵回來不管是鄉親也好,還是要自己去找也好,可以有一條交通方便的地方 |
transcript.whisperx[631].start |
17165.275 |
transcript.whisperx[631].end |
17178.807 |
transcript.whisperx[631].text |
本身就是覺得現在要做,我們是不是可以願意讓納入內地看看因為我覺得這是一個非常大的工程,但是現在要改變的時候,沒有利用現在自己的機會去做 |
transcript.whisperx[632].start |
17188.815 |
transcript.whisperx[632].end |
17203.101 |
transcript.whisperx[632].text |
不然的話,我認為這是負上的構想,因為我們保證負本事,不說對不對,不說什麼,是為了我們家族的健康,來發揮,來建築所以我們保證,我們兩位董事長,跟我們的 |
transcript.whisperx[633].start |
17214.825 |
transcript.whisperx[633].end |
17232.845 |
transcript.whisperx[633].text |
鐵道局的局長幫我們跟他貫徹演繹一個清規可以讓人更方便雖然有反對的、有同意的我們不能因為反對,我們就不來演繹我們也不能因為同意的 |
transcript.whisperx[634].start |
17237.373 |
transcript.whisperx[634].end |
17258.494 |
transcript.whisperx[634].text |
我們不知道要怎麼做,所以經費大家都可以坐下來說當然在外面的台北,尤其在嘉義出來當然嘉義官司都不要出,中央來出最好尤其在高鐵出來,要一條道路 |
transcript.whisperx[635].start |
17259.69 |
transcript.whisperx[635].end |
17269.438 |
transcript.whisperx[635].text |
應該是高鐵 當局以來就要協助 跟官司的溝通才對因為今天的時間有発達 剛好當中我們的兩位當事長 部長找到 兩位當事長跟我們鐵道局長來我們希望這件事 早日可以有一個 |
transcript.whisperx[636].start |
17285.768 |
transcript.whisperx[636].end |
17290.611 |
transcript.whisperx[636].text |
看到這樣有希望有更加好家族關係的溝通可以更好 不能像說跟你們要請出台積電 跟你們溝通在一起這樣就不好 所以未來的時間我們要有很多 希望我們的部長跟我們的教委跟很多委員 |
transcript.whisperx[637].start |
17309.442 |
transcript.whisperx[637].end |
17312.85 |
transcript.whisperx[637].text |
都可以維持所有地方的建設 大家一起發表 以上 |
transcript.whisperx[638].start |
17318.298 |
transcript.whisperx[638].end |
17341.853 |
transcript.whisperx[638].text |
謝謝王美惠委員也拜託我們陳部長把他的建議納入非常審慎的評估因為這個我也會看過我會看過了我都記得不要無影無蹤這樣對地方的立委也有一點虧待王委員都已經在拜託了好 謝謝現在請 |
transcript.whisperx[639].start |
17349.857 |
transcript.whisperx[639].end |
17364.879 |
transcript.whisperx[639].text |
黃婕 黃婕 黃婕委員不在現在請喜智傑召委執行謝謝主席 我們先請台鐵台鐵 來 鄭董事長委員好 |
transcript.whisperx[640].start |
17376.707 |
transcript.whisperx[640].end |
17391.643 |
transcript.whisperx[640].text |
董事長這一份新聞你有沒有看到他罵那個旅客說眼睛瞎了嗎這個董事長知道嗎 |
transcript.whisperx[641].start |
17396.626 |
transcript.whisperx[641].end |
17424.296 |
transcript.whisperx[641].text |
這個新聞我沒有看到不過最近我們從公司化以後進來的一些員工離職率偏高這我知道總編你知不知道有這個事件?拋銷的事件有了解也做了檢討這個大家可以看到這一點同理心都沒有旅客在問說刷卡處在哪裡? |
transcript.whisperx[642].start |
17425.373 |
transcript.whisperx[642].end |
17452.933 |
transcript.whisperx[642].text |
回答的近視你眼睛瞎了喔這太誇張了吧這種服務態度真的是非常的差我們真的是嚴厲的譴責那也希望說台鐵員工內部這個基本上對客戶的要求要再加強好那當然兵隊兵動三尺非一日之寒 |
transcript.whisperx[643].start |
17454.746 |
transcript.whisperx[643].end |
17456.569 |
transcript.whisperx[643].text |
剛剛董事也有提到你們的離職狀況蠻嚴重的那現在有沒有打算怎麼處理 |
transcript.whisperx[644].start |
17462.657 |
transcript.whisperx[644].end |
17488.033 |
transcript.whisperx[644].text |
我們現在大概處理就是說對這個新招募的員工我們以前過去是用統籌在北部來招考然後再分發我們現在要用各地區來單獨多元的招募用這個方式然後另外就是在這個薪水方面我們也要研擬一個比較合理的薪資那麼來招募這個部分 |
transcript.whisperx[645].start |
17488.894 |
transcript.whisperx[645].end |
17509.622 |
transcript.whisperx[645].text |
OK 我是這樣子講啦就是說其實員工有這麼誇張的態度當然有一部分的原因是他自己的問題他自己應該是佔最大的問題啦但是後面背後的原因就是說整個台鐵的員工的制度真的是需要做一個調整 |
transcript.whisperx[646].start |
17511.022 |
transcript.whisperx[646].end |
17527.055 |
transcript.whisperx[646].text |
那包括你看這些技術獎金啦文康活動啦薪資等等的啦這很多啦我想這個台鐵內部再做一個剛剛董事長提到了該怎麼調整就要調整那當然你這個員工禁用這個角度我覺得也不錯可以參考啦 |
transcript.whisperx[647].start |
17527.956 |
transcript.whisperx[647].end |
17554.904 |
transcript.whisperx[647].text |
就是說在地在地的員工在地徵才也許他住在在地他會留住的機會比較大所以我希望說台鐵公司化事實上真的是一個不好做的工作啦那還有很多需要再努力的地方希望說董事長跟總經理辛苦一點後續趕快補強是 我們掃這方面來做好 那個鳳山車站現在總經理 |
transcript.whisperx[648].start |
17557.97 |
transcript.whisperx[648].end |
17583.86 |
transcript.whisperx[648].text |
前幾天才到我那邊去那先跟董事長報告一下就是說總之你希望說626到底有沒有人來招標報告委員我們626的招商我們還在努力來看廠商的意願那我們現在也提出了配套的措施希望能在 |
transcript.whisperx[649].start |
17585.565 |
transcript.whisperx[649].end |
17591.05 |
transcript.whisperx[649].text |
廠商投資的意願上面讓他降低更多的成本然後讓這年輕人可以讓他有機會 |
transcript.whisperx[650].start |
17603.659 |
transcript.whisperx[650].end |
17631.185 |
transcript.whisperx[650].text |
對 目前評估是626應該是廠商投標的可能性所以 其實董事長你剛來所以也要讓董事長知道一下我封山車災已經處理了三次了這是第三次了那如果沒有一個不一樣的做法我如果變文字館不是只有台鐵協議而已 我也協議所以我想務必要有一個好的解方所以 |
transcript.whisperx[651].start |
17632.813 |
transcript.whisperx[651].end |
17656.998 |
transcript.whisperx[651].text |
前幾天總經理到我那邊去他說他想改用分期分區的方案這個內部你們在研究然後我建議的是1加1的方案那當然就是說我是怕你今天用分期分區飆不出去以後你的1加1又來不及那我鳳山車站就不知道要看什麼看多久 |
transcript.whisperx[652].start |
17659.449 |
transcript.whisperx[652].end |
17665.478 |
transcript.whisperx[652].text |
所以我想總經理你那一天的承諾是不是公開跟大家報告一下你打算怎麼做 |
transcript.whisperx[653].start |
17666.789 |
transcript.whisperx[653].end |
17690.63 |
transcript.whisperx[653].text |
報告委員現在因為我們有詢問過促參司的相關的意見那一天有跟委員報告我們目前還是評估以分期分區對於鳳山車站整體未來的開發的進程是最有幫助的所以我們現在目前第一階段第二階段把這個時程跟大家報告一下也讓董事長知道一下也讓社會知道一下這樣就可以 |
transcript.whisperx[654].start |
17691.03 |
transcript.whisperx[654].end |
17713.311 |
transcript.whisperx[654].text |
好 我們預計分期分區如果這一次6月26號的第三次招商還是沒有結果的話我們就馬上展開分期分區那預計整個作業時程到9月底我們可以來做一個決標那我們期待在這個過程中我們也會再持續跟廠商來做一個研議讓這個廠商的持續更明確9月底然後呢 |
transcript.whisperx[655].start |
17717.506 |
transcript.whisperx[655].end |
17744.57 |
transcript.whisperx[655].text |
那九月底這邊如果這個針對分期分區的方案如果到那時候還廠商還沒有意願的話我們會按照這個委員的一個意見我們也來做一個研議評估來1加1的這個方案我們也會來評估不過這個部分也跟委員有說明過了我們也會參考處參司相關的意見來怎麼樣當然啦 該是合法的程序處理就是合法處理啊 |
transcript.whisperx[656].start |
17745.291 |
transcript.whisperx[656].end |
17758.525 |
transcript.whisperx[656].text |
所以跟董事長報告一下希望董事長跟部長也能夠稍微注意一下這個訊息這是總經理當我們大家的面承諾的那就是說今天已經標了三次沒標出去 |
transcript.whisperx[657].start |
17759.548 |
transcript.whisperx[657].end |
17787.131 |
transcript.whisperx[657].text |
坦白講我是覺得有點傷心啦那當然這個是我想大家要議的事情我們一定要把它完成所以現在我再重複一遍就是說分期分期是台鐵自己的意見1加1是我的意見但是台鐵說分期分期9月底之前有機會可以標的出去那我們再信任台鐵一次如果在9月底之前分期分期沒有完成 |
transcript.whisperx[658].start |
17788.123 |
transcript.whisperx[658].end |
17812.481 |
transcript.whisperx[658].text |
那就希望說用一加一的方式那一加一的方式事實上我也曾經提過台北車站跟鳳山車站 你在台北車頭一定賺錢的啦你來萬福山車頭 比較辛苦的付出擔保啊把我們慢慢的先把這個體質收起做好後面我相信一定會賺錢的嘛只是初期會比較辛苦嘛 |
transcript.whisperx[659].start |
17813.069 |
transcript.whisperx[659].end |
17835.972 |
transcript.whisperx[659].text |
那你今天如果台北車站跟高雄車站跟鳳山車站我們一加一的話我相信絕對不會處理 你用什麼啦那當然需要經過出產師相關的合法合理的程序那個當然我們就一切照規定來啊所以我現在在這邊也很明確的要求就是說第一個626就在明天顯然是 |
transcript.whisperx[660].start |
17837.418 |
transcript.whisperx[660].end |
17862.615 |
transcript.whisperx[660].text |
可能沒有機會了啦 那我們已經是第三次了啦再來九月底這個時間我們照台鐵的建議分區分區 我這樣算 北東也很誇嘛對不對只要你我都完成 你的風水水的不是我想像中最理想的那是製造還有機會完成所以分區分區這個部分 那我們也定一個時間總經理也很清楚說 三個月 |
transcript.whisperx[661].start |
17863.796 |
transcript.whisperx[661].end |
17880.503 |
transcript.whisperx[661].text |
所以626到9月底正好三個月希望說這一個案子可以照你們現在已經我知道其實總經理也努力也努力的去尋覓潛在廠商也問了很多人他也一直在努力這一點我們也必須肯定雖然 |
transcript.whisperx[662].start |
17882.083 |
transcript.whisperx[662].end |
17904.77 |
transcript.whisperx[662].text |
結果不如我預期 但是我們也先 也就是說我知道總經理很努力啦所以第二階段就是這個9月底的時間這個時間我希望說董事長跟部長也能夠幫忙注意這個時間如果有順利招標出去那當然我們就先趕快讓它初步的完成 然後趕快讓它先營運那這個是9月底的時間 |
transcript.whisperx[663].start |
17906.107 |
transcript.whisperx[663].end |
17929.701 |
transcript.whisperx[663].text |
那如果9月底的時間在沒有結果那我在這邊希望董事長跟部長跟總經理一加一就不要再閃東閃西 蔣東蔣西了就希望說你把台北車站跟我風山車站一起我相信這樣子是100%飆得出去啦台北車站的頭很燦爛 沒人要飆啦 |
transcript.whisperx[664].start |
17932.574 |
transcript.whisperx[664].end |
17947.764 |
transcript.whisperx[664].text |
所以一加一是一定飆得出去啦所以我在這邊就是強烈的要求鄭重的宣示那董事長跟總經理是不是也OK我們朝著方向來努力所以OK啦 |
transcript.whisperx[665].start |
17950.629 |
transcript.whisperx[665].end |
17980.149 |
transcript.whisperx[665].text |
就是說如果九月底不行的話我們九月底之前我們是分區分區那到九月底不行的話那我們就採取這個一加一的方式但是這個一加一的方式我們現在趕快要跟促參市那能夠每一天我已經跟總經理跟促參市研究過了照法照規定處理照規定你放心我不會叫你不照規定處理照規定照法處理你放心這樣好不好是那個部長可不可以上來講一下說好就好 |
transcript.whisperx[666].start |
17987.102 |
transcript.whisperx[666].end |
18008.442 |
transcript.whisperx[666].text |
報告委員如果是依法而且可行的話我們當然朝這個方向做OK就是剛才我都講了三個時間點626第一個時針點眼看沒有機會930第二個時針點希望能夠有機會完成如果沒有完成的話第三個時針點就是1加1的方式這樣子處理好不好是OK你們三位都OK我想就不會再跳票了好OK好謝謝 |
transcript.whisperx[667].start |
18011.89 |
transcript.whisperx[667].end |
18034.036 |
transcript.whisperx[667].text |
好謝謝喜智傑召委的執行黃珊珊委員黃珊珊委員黃珊珊委員不在林柱英委員林柱英委員林柱英委員不在習新穎委員習新穎委員習新穎委員不在現在請葉延之委員執行 |
transcript.whisperx[668].start |
18047.056 |
transcript.whisperx[668].end |
18048.562 |
transcript.whisperx[668].text |
我們請台鐵的董事長台鐵鄭董事長 |
transcript.whisperx[669].start |
18061.411 |
transcript.whisperx[669].end |
18087.879 |
transcript.whisperx[669].text |
葉委員好 董事長您好我們知道台鐵其實很多員工都非常辛苦然後大家也都非常感謝台鐵對大家的服務但是您的上任大家都很期待您是交通大學運輸研究所的博士是這方面的專業過去在交通界也服務很久所以希望說台鐵有一些問題可以幫忙協助然後讓台鐵越來越好 |
transcript.whisperx[670].start |
18088.999 |
transcript.whisperx[670].end |
18116.712 |
transcript.whisperx[670].text |
那特別是我覺得交通的安全的部分因為我一直常常在新聞上面看到很多有關於台鐵的一些安全的狀況譬如說我們看一下最近台鐵船散爆洗車沒有取接地桿量貨然後另外還有一個是在庫房發生的常常會發生吊車意外這個吊車意外在今年的頻率非常高大概七個月就發生了八起 |
transcript.whisperx[671].start |
18117.632 |
transcript.whisperx[671].end |
18142.563 |
transcript.whisperx[671].text |
那我不曉得說董事長您到台鐵之後會怎麼樣來處理這個問題那我有看到說你有拜訪台鐵的工會嘛工會有跟你反應說可能是不是人員的流動率比較高然後造成基層的工作負荷比較大所以才會是不是也有因為這樣的關係所以引起了一些類似的意外發生所以董事長你怎麼看 |
transcript.whisperx[672].start |
18143.317 |
transcript.whisperx[672].end |
18165.479 |
transcript.whisperx[672].text |
是跟委員報告這個事情尤其吊車場的事情我昨天也特別到七堵吊車場去對於七堵連續發生了六七次的吊車事件還有我們樹林發生的吊車事件整個做了一個了解也聽取他們的報告當然這裡面最主要就是沒有按照SOP |
transcript.whisperx[673].start |
18166.339 |
transcript.whisperx[673].end |
18192.268 |
transcript.whisperx[673].text |
那沒有按照SOP裡面當然就是這個當事人還有他的主管這個都有問題那就是沒有當責那當然這其中裡面也有一個情況就是說為什麼他沒有辦法說譬如說他應該要守候這個車子在前面要有人然後要才能夠做這個動作吊車的動作但是他前面這邊坐完了 |
transcript.whisperx[674].start |
18192.988 |
transcript.whisperx[674].end |
18215.06 |
transcript.whisperx[674].text |
馬上又有一個車子要掉路了他急著趕過去所以就造成了他沒有站著SOP這個又是牽涉到人力的問題這個就是說他這個人力造成他的這個他沒有辦法讓他很充分的時間來執行SOP那這個都是其中的原因所以我在這邊的話就是說針對 |
transcript.whisperx[675].start |
18218.55 |
transcript.whisperx[675].end |
18222.518 |
transcript.whisperx[675].text |
這些所有的事件其實我們的數字統計我們整個疫場的事件的話去年我們總共發生了979件大小 |
transcript.whisperx[676].start |
18229.144 |
transcript.whisperx[676].end |
18254.373 |
transcript.whisperx[676].text |
重大事故一般事故一般的異常總而言之我現在的想法就是說一定要把這些問題都讓他釐清所以我現在就做成是說希望去年的這個每一件事情的原因在哪裡那麼我們要有能夠把他找出來所以現在要分區分則那麼怎麼樣把譬如說我們北中南區東那麼這些區的這個處長他一定要把他 |
transcript.whisperx[677].start |
18256.976 |
transcript.whisperx[677].end |
18260.59 |
transcript.whisperx[677].text |
謝謝 因為我們這個時間有限所以剛剛講到人力的部分你有什麼計畫可以補強嗎 |
transcript.whisperx[678].start |
18264.479 |
transcript.whisperx[678].end |
18290.125 |
transcript.whisperx[678].text |
這個部分的話第一個我希望說在招募的時候能不能夠按照分區來招募因為目前過去的時候所以你有一個計畫人力的部分就補強了所以人力的部分是可以這個問題把它解決第二個是你剛剛說SOP怎麼把它落實這個部分你也會去那只要SOP有落實人力部分也沒有問題的話應該類似的意外就會減少 |
transcript.whisperx[679].start |
18291.085 |
transcript.whisperx[679].end |
18314.122 |
transcript.whisperx[679].text |
當然 那最後我跟您董事長提醒一個這也是有一些網友來反映就是因為台鐵之前在2019年的時候有一個APP叫台鐵一定通當時我們的了解是花了一千萬左右去做這個APP一千萬的APP價格不能說很低啦其實一般的APP有時候一百萬到三百萬就可以做得到但是它花了一千萬 |
transcript.whisperx[680].start |
18315.103 |
transcript.whisperx[680].end |
18334.342 |
transcript.whisperx[680].text |
然後到今年才推出線上換票跟一機多票其實這個服務我覺得到今年才推出來是有點慢的就是有些人他可能自己訂票但他要幫家人訂就沒辦法只能訂自己的變成說每一個人都要用自己的手機訂票那今年才推出一機多票但不管怎麼樣也是推出了啦是 |
transcript.whisperx[681].start |
18334.642 |
transcript.whisperx[681].end |
18354.834 |
transcript.whisperx[681].text |
那一年 當初是花一千萬建置後來每一年花兩百萬來維護這是一個非常高成本的APP我們希望它讓大家用得很舒適 很友善不過在這個網路上包括我們也有接到一些陳情就有很多問題這個您就去了解一下我相信你可能需要資訊資訊處的人才知道啦譬如說 |
transcript.whisperx[682].start |
18356.989 |
transcript.whisperx[682].end |
18380.96 |
transcript.whisperx[682].text |
常常有人抱怨說沒辦法下載沒辦法使用這是其中一個問題第二個比較嚴重的問題我助理也有實際去操作過就是說他訂完票通常要先收到一個驗證碼才能確定說是不是你本人訂的可是常常收不到驗證碼收不到驗證碼這個訂票過程就等於是白白浪費時間了然後也沒辦法完成訂票所以這也是一個問題 |
transcript.whisperx[683].start |
18382.02 |
transcript.whisperx[683].end |
18407.536 |
transcript.whisperx[683].text |
那後面還有其他其他的問題就是如果他他註冊然後發送信箱之後又常常說沒有這個會員然後忘記密碼又找不到帳號系統又崩潰這個都是截圖你可以看一下我是先不用回答但是我建議你們是不是去看一下那個網路上大家的回饋然後針對大家的回饋一一去了解問題是發生在哪裡然後把這個問題解決 |
transcript.whisperx[684].start |
18408.786 |
transcript.whisperx[684].end |
18426.641 |
transcript.whisperx[684].text |
否則弄一個APP也花那麼大的心思然後也宣傳了 也叫大家下載了但是面對到一堆問題 這會有民怨好不好 而且也沒有辦法達到訂票的目的好不好 這個請董事長來幫忙處理一下是的 我們來瞭解真正的原因好 謝謝 |
transcript.whisperx[685].start |
18429.056 |
transcript.whisperx[685].end |
18446.929 |
transcript.whisperx[685].text |
好 謝謝葉言之委員的執行張家俊委員 張家俊委員 張家俊委員不在楊瓊英委員 楊瓊英委員 楊瓊英委員不在游皓委員 游皓委員 游皓委員不在 |
transcript.whisperx[686].start |
18448.826 |
transcript.whisperx[686].end |
18470.636 |
transcript.whisperx[686].text |
現在登記執行委員經已發言完畢 做以下的決定一 報告及詢答完畢二 尤浩委員 楊瓊英委員 邱振軍委員 廖先祥委員首提書面執行列入紀錄並刊登公報 |
transcript.whisperx[687].start |
18471.636 |
transcript.whisperx[687].end |
18487.634 |
transcript.whisperx[687].text |
三 委員的執行中要求提供相關書面的資料或未及時答覆部分請交通部及相關機關盡速以書面答覆特別台灣 |
transcript.whisperx[688].start |
18489.707 |
transcript.whisperx[688].end |
18506.565 |
transcript.whisperx[688].text |
那個台鐵公司答應委員的下班以前提供的資料特別一定要去準時送達那本日會議結束特別謝謝交通部陳部長以及 |
transcript.whisperx[689].start |
18508.507 |
transcript.whisperx[689].end |
18523.594 |
transcript.whisperx[689].text |
台鐵鄭董事長 高鐵石澤董事長所以在這裡還特別謝謝我們所有媒體朋友的堅持到現在謝謝大家 今天會議結束 謝謝 |
transcript.whisperx[690].start |
18532.966 |
transcript.whisperx[690].end |
18532.986 |
transcript.whisperx[690].text |
好,謝謝 |
transcript.whisperx[691].start |
18562.025 |
transcript.whisperx[691].end |
18562.127 |
transcript.whisperx[691].text |
謝謝大家 |