video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd323e8eb5774d58be0a83d0d18514ced0a82e37f9ba35fd7729b584878a13b4a75ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-12-04T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期交通委員會第13次全體委員會議(事由:一、邀請數位發展部部長黃彥男列席報告業務概況及立法計畫,並備質詢。
二、審查114年度中央政府總預算案關於數位發展部單位預算。
【僅進行詢答;委員預算提案於12月20日中午12時前截止收件】) |
委員名稱 |
完整會議 |
影片長度 |
18275 |
委員發言時間 |
08:31:25 - 13:36:00 |
transcript.pyannote[0].speaker |
SPEAKER_14 |
transcript.pyannote[0].start |
1711.13909375 |
transcript.pyannote[0].end |
1711.98284375 |
transcript.pyannote[1].speaker |
SPEAKER_14 |
transcript.pyannote[1].start |
1716.77534375 |
transcript.pyannote[1].end |
1719.74534375 |
transcript.pyannote[2].speaker |
SPEAKER_14 |
transcript.pyannote[2].start |
1720.15034375 |
transcript.pyannote[2].end |
1723.35659375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
1726.12409375 |
transcript.pyannote[3].end |
1749.09096875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
1749.42846875 |
transcript.pyannote[4].end |
1756.60034375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
1756.98846875 |
transcript.pyannote[5].end |
1769.56034375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
1769.83034375 |
transcript.pyannote[6].end |
1776.49596875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
1776.83346875 |
transcript.pyannote[7].end |
1782.21659375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
1782.85784375 |
transcript.pyannote[8].end |
1790.40096875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
1790.56971875 |
transcript.pyannote[9].end |
1793.30346875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
1793.48909375 |
transcript.pyannote[10].end |
1799.86784375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
1800.10409375 |
transcript.pyannote[11].end |
1805.25096875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
1805.28471875 |
transcript.pyannote[12].end |
1806.48284375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
1806.85409375 |
transcript.pyannote[13].end |
1815.47721875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
1815.84846875 |
transcript.pyannote[14].end |
1821.19784375 |
transcript.pyannote[15].speaker |
SPEAKER_14 |
transcript.pyannote[15].start |
1822.36221875 |
transcript.pyannote[15].end |
1826.85096875 |
transcript.pyannote[16].speaker |
SPEAKER_14 |
transcript.pyannote[16].start |
1827.27284375 |
transcript.pyannote[16].end |
1830.66471875 |
transcript.pyannote[17].speaker |
SPEAKER_14 |
transcript.pyannote[17].start |
1831.28909375 |
transcript.pyannote[17].end |
1833.66846875 |
transcript.pyannote[18].speaker |
SPEAKER_14 |
transcript.pyannote[18].start |
1835.47409375 |
transcript.pyannote[18].end |
1839.42284375 |
transcript.pyannote[19].speaker |
SPEAKER_14 |
transcript.pyannote[19].start |
1839.92909375 |
transcript.pyannote[19].end |
1841.02596875 |
transcript.pyannote[20].speaker |
SPEAKER_14 |
transcript.pyannote[20].start |
1841.56596875 |
transcript.pyannote[20].end |
1844.13096875 |
transcript.pyannote[21].speaker |
SPEAKER_14 |
transcript.pyannote[21].start |
1846.18971875 |
transcript.pyannote[21].end |
1848.48471875 |
transcript.pyannote[22].speaker |
SPEAKER_14 |
transcript.pyannote[22].start |
1849.19346875 |
transcript.pyannote[22].end |
1849.71659375 |
transcript.pyannote[23].speaker |
SPEAKER_14 |
transcript.pyannote[23].start |
1850.76284375 |
transcript.pyannote[23].end |
1852.93971875 |
transcript.pyannote[24].speaker |
SPEAKER_14 |
transcript.pyannote[24].start |
1855.80846875 |
transcript.pyannote[24].end |
1856.98971875 |
transcript.pyannote[25].speaker |
SPEAKER_14 |
transcript.pyannote[25].start |
1857.79971875 |
transcript.pyannote[25].end |
1859.26784375 |
transcript.pyannote[26].speaker |
SPEAKER_14 |
transcript.pyannote[26].start |
1862.38971875 |
transcript.pyannote[26].end |
1863.82409375 |
transcript.pyannote[27].speaker |
SPEAKER_14 |
transcript.pyannote[27].start |
1864.48221875 |
transcript.pyannote[27].end |
1865.42721875 |
transcript.pyannote[28].speaker |
SPEAKER_14 |
transcript.pyannote[28].start |
1868.48159375 |
transcript.pyannote[28].end |
1869.42659375 |
transcript.pyannote[29].speaker |
SPEAKER_14 |
transcript.pyannote[29].start |
1869.93284375 |
transcript.pyannote[29].end |
1871.04659375 |
transcript.pyannote[30].speaker |
SPEAKER_14 |
transcript.pyannote[30].start |
1873.71284375 |
transcript.pyannote[30].end |
1875.60284375 |
transcript.pyannote[31].speaker |
SPEAKER_14 |
transcript.pyannote[31].start |
1878.03284375 |
transcript.pyannote[31].end |
1878.69096875 |
transcript.pyannote[32].speaker |
SPEAKER_14 |
transcript.pyannote[32].start |
1879.11284375 |
transcript.pyannote[32].end |
1880.12534375 |
transcript.pyannote[33].speaker |
SPEAKER_14 |
transcript.pyannote[33].start |
1882.99409375 |
transcript.pyannote[33].end |
1884.96846875 |
transcript.pyannote[34].speaker |
SPEAKER_14 |
transcript.pyannote[34].start |
1887.63471875 |
transcript.pyannote[34].end |
1888.34346875 |
transcript.pyannote[35].speaker |
SPEAKER_14 |
transcript.pyannote[35].start |
1889.50784375 |
transcript.pyannote[35].end |
1890.46971875 |
transcript.pyannote[36].speaker |
SPEAKER_14 |
transcript.pyannote[36].start |
1892.89971875 |
transcript.pyannote[36].end |
1894.92471875 |
transcript.pyannote[37].speaker |
SPEAKER_14 |
transcript.pyannote[37].start |
1897.54034375 |
transcript.pyannote[37].end |
1899.70034375 |
transcript.pyannote[38].speaker |
SPEAKER_14 |
transcript.pyannote[38].start |
1900.10534375 |
transcript.pyannote[38].end |
1901.03346875 |
transcript.pyannote[39].speaker |
SPEAKER_14 |
transcript.pyannote[39].start |
1901.89409375 |
transcript.pyannote[39].end |
1903.07534375 |
transcript.pyannote[40].speaker |
SPEAKER_14 |
transcript.pyannote[40].start |
1903.54784375 |
transcript.pyannote[40].end |
1905.58971875 |
transcript.pyannote[41].speaker |
SPEAKER_14 |
transcript.pyannote[41].start |
1906.16346875 |
transcript.pyannote[41].end |
1907.71596875 |
transcript.pyannote[42].speaker |
SPEAKER_14 |
transcript.pyannote[42].start |
1910.44971875 |
transcript.pyannote[42].end |
1911.63096875 |
transcript.pyannote[43].speaker |
SPEAKER_14 |
transcript.pyannote[43].start |
1914.76971875 |
transcript.pyannote[43].end |
1915.93409375 |
transcript.pyannote[44].speaker |
SPEAKER_14 |
transcript.pyannote[44].start |
1916.22096875 |
transcript.pyannote[44].end |
1916.91284375 |
transcript.pyannote[45].speaker |
SPEAKER_14 |
transcript.pyannote[45].start |
1917.53721875 |
transcript.pyannote[45].end |
1919.52846875 |
transcript.pyannote[46].speaker |
SPEAKER_14 |
transcript.pyannote[46].start |
1920.08534375 |
transcript.pyannote[46].end |
1923.81471875 |
transcript.pyannote[47].speaker |
SPEAKER_14 |
transcript.pyannote[47].start |
1924.21971875 |
transcript.pyannote[47].end |
1927.45971875 |
transcript.pyannote[48].speaker |
SPEAKER_14 |
transcript.pyannote[48].start |
1928.01659375 |
transcript.pyannote[48].end |
1929.63659375 |
transcript.pyannote[49].speaker |
SPEAKER_14 |
transcript.pyannote[49].start |
1931.02034375 |
transcript.pyannote[49].end |
1932.94409375 |
transcript.pyannote[50].speaker |
SPEAKER_14 |
transcript.pyannote[50].start |
1933.26471875 |
transcript.pyannote[50].end |
1942.10721875 |
transcript.pyannote[51].speaker |
SPEAKER_14 |
transcript.pyannote[51].start |
1942.68096875 |
transcript.pyannote[51].end |
1947.18659375 |
transcript.pyannote[52].speaker |
SPEAKER_14 |
transcript.pyannote[52].start |
1947.70971875 |
transcript.pyannote[52].end |
1948.36784375 |
transcript.pyannote[53].speaker |
SPEAKER_14 |
transcript.pyannote[53].start |
1948.51971875 |
transcript.pyannote[53].end |
1949.63346875 |
transcript.pyannote[54].speaker |
SPEAKER_14 |
transcript.pyannote[54].start |
1950.64596875 |
transcript.pyannote[54].end |
1952.26596875 |
transcript.pyannote[55].speaker |
SPEAKER_14 |
transcript.pyannote[55].start |
1952.46846875 |
transcript.pyannote[55].end |
1958.79659375 |
transcript.pyannote[56].speaker |
SPEAKER_14 |
transcript.pyannote[56].start |
1959.25221875 |
transcript.pyannote[56].end |
1959.72471875 |
transcript.pyannote[57].speaker |
SPEAKER_14 |
transcript.pyannote[57].start |
1961.05784375 |
transcript.pyannote[57].end |
1961.20971875 |
transcript.pyannote[58].speaker |
SPEAKER_05 |
transcript.pyannote[58].start |
1970.40659375 |
transcript.pyannote[58].end |
1970.55846875 |
transcript.pyannote[59].speaker |
SPEAKER_05 |
transcript.pyannote[59].start |
1970.77784375 |
transcript.pyannote[59].end |
1973.15721875 |
transcript.pyannote[60].speaker |
SPEAKER_05 |
transcript.pyannote[60].start |
1973.47784375 |
transcript.pyannote[60].end |
1996.46159375 |
transcript.pyannote[61].speaker |
SPEAKER_05 |
transcript.pyannote[61].start |
1997.13659375 |
transcript.pyannote[61].end |
1999.31346875 |
transcript.pyannote[62].speaker |
SPEAKER_05 |
transcript.pyannote[62].start |
2000.03909375 |
transcript.pyannote[62].end |
2000.14034375 |
transcript.pyannote[63].speaker |
SPEAKER_05 |
transcript.pyannote[63].start |
2000.66346875 |
transcript.pyannote[63].end |
2010.97409375 |
transcript.pyannote[64].speaker |
SPEAKER_05 |
transcript.pyannote[64].start |
2011.46346875 |
transcript.pyannote[64].end |
2016.37409375 |
transcript.pyannote[65].speaker |
SPEAKER_05 |
transcript.pyannote[65].start |
2016.57659375 |
transcript.pyannote[65].end |
2017.26846875 |
transcript.pyannote[66].speaker |
SPEAKER_05 |
transcript.pyannote[66].start |
2017.85909375 |
transcript.pyannote[66].end |
2078.30534375 |
transcript.pyannote[67].speaker |
SPEAKER_05 |
transcript.pyannote[67].start |
2078.94659375 |
transcript.pyannote[67].end |
2120.93159375 |
transcript.pyannote[68].speaker |
SPEAKER_05 |
transcript.pyannote[68].start |
2121.97784375 |
transcript.pyannote[68].end |
2143.71284375 |
transcript.pyannote[69].speaker |
SPEAKER_05 |
transcript.pyannote[69].start |
2144.10096875 |
transcript.pyannote[69].end |
2151.34034375 |
transcript.pyannote[70].speaker |
SPEAKER_05 |
transcript.pyannote[70].start |
2151.82971875 |
transcript.pyannote[70].end |
2158.96784375 |
transcript.pyannote[71].speaker |
SPEAKER_05 |
transcript.pyannote[71].start |
2159.32221875 |
transcript.pyannote[71].end |
2159.96346875 |
transcript.pyannote[72].speaker |
SPEAKER_05 |
transcript.pyannote[72].start |
2160.21659375 |
transcript.pyannote[72].end |
2162.71409375 |
transcript.pyannote[73].speaker |
SPEAKER_05 |
transcript.pyannote[73].start |
2162.91659375 |
transcript.pyannote[73].end |
2169.71721875 |
transcript.pyannote[74].speaker |
SPEAKER_05 |
transcript.pyannote[74].start |
2170.18971875 |
transcript.pyannote[74].end |
2170.99971875 |
transcript.pyannote[75].speaker |
SPEAKER_05 |
transcript.pyannote[75].start |
2172.11346875 |
transcript.pyannote[75].end |
2216.57909375 |
transcript.pyannote[76].speaker |
SPEAKER_05 |
transcript.pyannote[76].start |
2217.82784375 |
transcript.pyannote[76].end |
2238.98909375 |
transcript.pyannote[77].speaker |
SPEAKER_05 |
transcript.pyannote[77].start |
2239.34346875 |
transcript.pyannote[77].end |
2240.49096875 |
transcript.pyannote[78].speaker |
SPEAKER_05 |
transcript.pyannote[78].start |
2240.96346875 |
transcript.pyannote[78].end |
2244.18659375 |
transcript.pyannote[79].speaker |
SPEAKER_05 |
transcript.pyannote[79].start |
2244.32159375 |
transcript.pyannote[79].end |
2253.90659375 |
transcript.pyannote[80].speaker |
SPEAKER_05 |
transcript.pyannote[80].start |
2254.53096875 |
transcript.pyannote[80].end |
2256.55596875 |
transcript.pyannote[81].speaker |
SPEAKER_05 |
transcript.pyannote[81].start |
2257.38284375 |
transcript.pyannote[81].end |
2271.52409375 |
transcript.pyannote[82].speaker |
SPEAKER_05 |
transcript.pyannote[82].start |
2271.87846875 |
transcript.pyannote[82].end |
2282.62784375 |
transcript.pyannote[83].speaker |
SPEAKER_05 |
transcript.pyannote[83].start |
2283.11721875 |
transcript.pyannote[83].end |
2301.08909375 |
transcript.pyannote[84].speaker |
SPEAKER_05 |
transcript.pyannote[84].start |
2303.46846875 |
transcript.pyannote[84].end |
2320.90034375 |
transcript.pyannote[85].speaker |
SPEAKER_05 |
transcript.pyannote[85].start |
2321.32221875 |
transcript.pyannote[85].end |
2322.09846875 |
transcript.pyannote[86].speaker |
SPEAKER_05 |
transcript.pyannote[86].start |
2323.39784375 |
transcript.pyannote[86].end |
2340.03659375 |
transcript.pyannote[87].speaker |
SPEAKER_05 |
transcript.pyannote[87].start |
2340.52596875 |
transcript.pyannote[87].end |
2344.28909375 |
transcript.pyannote[88].speaker |
SPEAKER_05 |
transcript.pyannote[88].start |
2345.55471875 |
transcript.pyannote[88].end |
2346.98909375 |
transcript.pyannote[89].speaker |
SPEAKER_05 |
transcript.pyannote[89].start |
2347.37721875 |
transcript.pyannote[89].end |
2360.82659375 |
transcript.pyannote[90].speaker |
SPEAKER_05 |
transcript.pyannote[90].start |
2361.01221875 |
transcript.pyannote[90].end |
2372.31846875 |
transcript.pyannote[91].speaker |
SPEAKER_05 |
transcript.pyannote[91].start |
2372.62221875 |
transcript.pyannote[91].end |
2373.28034375 |
transcript.pyannote[92].speaker |
SPEAKER_05 |
transcript.pyannote[92].start |
2374.22534375 |
transcript.pyannote[92].end |
2374.84971875 |
transcript.pyannote[93].speaker |
SPEAKER_05 |
transcript.pyannote[93].start |
2375.11971875 |
transcript.pyannote[93].end |
2393.09159375 |
transcript.pyannote[94].speaker |
SPEAKER_05 |
transcript.pyannote[94].start |
2393.76659375 |
transcript.pyannote[94].end |
2394.50909375 |
transcript.pyannote[95].speaker |
SPEAKER_05 |
transcript.pyannote[95].start |
2396.04471875 |
transcript.pyannote[95].end |
2408.65034375 |
transcript.pyannote[96].speaker |
SPEAKER_05 |
transcript.pyannote[96].start |
2408.76846875 |
transcript.pyannote[96].end |
2428.93409375 |
transcript.pyannote[97].speaker |
SPEAKER_05 |
transcript.pyannote[97].start |
2429.55846875 |
transcript.pyannote[97].end |
2430.28409375 |
transcript.pyannote[98].speaker |
SPEAKER_05 |
transcript.pyannote[98].start |
2432.49471875 |
transcript.pyannote[98].end |
2438.77221875 |
transcript.pyannote[99].speaker |
SPEAKER_05 |
transcript.pyannote[99].start |
2439.00846875 |
transcript.pyannote[99].end |
2457.28409375 |
transcript.pyannote[100].speaker |
SPEAKER_05 |
transcript.pyannote[100].start |
2459.35971875 |
transcript.pyannote[100].end |
2481.19596875 |
transcript.pyannote[101].speaker |
SPEAKER_05 |
transcript.pyannote[101].start |
2483.25471875 |
transcript.pyannote[101].end |
2497.41284375 |
transcript.pyannote[102].speaker |
SPEAKER_05 |
transcript.pyannote[102].start |
2497.80096875 |
transcript.pyannote[102].end |
2498.64471875 |
transcript.pyannote[103].speaker |
SPEAKER_05 |
transcript.pyannote[103].start |
2499.58971875 |
transcript.pyannote[103].end |
2500.09596875 |
transcript.pyannote[104].speaker |
SPEAKER_05 |
transcript.pyannote[104].start |
2500.45034375 |
transcript.pyannote[104].end |
2520.48096875 |
transcript.pyannote[105].speaker |
SPEAKER_05 |
transcript.pyannote[105].start |
2521.59471875 |
transcript.pyannote[105].end |
2522.23596875 |
transcript.pyannote[106].speaker |
SPEAKER_05 |
transcript.pyannote[106].start |
2522.62409375 |
transcript.pyannote[106].end |
2535.85409375 |
transcript.pyannote[107].speaker |
SPEAKER_05 |
transcript.pyannote[107].start |
2536.41096875 |
transcript.pyannote[107].end |
2569.67159375 |
transcript.pyannote[108].speaker |
SPEAKER_05 |
transcript.pyannote[108].start |
2570.14409375 |
transcript.pyannote[108].end |
2585.48346875 |
transcript.pyannote[109].speaker |
SPEAKER_05 |
transcript.pyannote[109].start |
2585.66909375 |
transcript.pyannote[109].end |
2590.14096875 |
transcript.pyannote[110].speaker |
SPEAKER_05 |
transcript.pyannote[110].start |
2590.52909375 |
transcript.pyannote[110].end |
2599.50659375 |
transcript.pyannote[111].speaker |
SPEAKER_05 |
transcript.pyannote[111].start |
2599.79346875 |
transcript.pyannote[111].end |
2603.48909375 |
transcript.pyannote[112].speaker |
SPEAKER_05 |
transcript.pyannote[112].start |
2604.82221875 |
transcript.pyannote[112].end |
2605.27784375 |
transcript.pyannote[113].speaker |
SPEAKER_05 |
transcript.pyannote[113].start |
2606.18909375 |
transcript.pyannote[113].end |
2624.19471875 |
transcript.pyannote[114].speaker |
SPEAKER_05 |
transcript.pyannote[114].start |
2624.49846875 |
transcript.pyannote[114].end |
2661.82596875 |
transcript.pyannote[115].speaker |
SPEAKER_05 |
transcript.pyannote[115].start |
2662.43346875 |
transcript.pyannote[115].end |
2663.29409375 |
transcript.pyannote[116].speaker |
SPEAKER_05 |
transcript.pyannote[116].start |
2664.30659375 |
transcript.pyannote[116].end |
2669.80784375 |
transcript.pyannote[117].speaker |
SPEAKER_05 |
transcript.pyannote[117].start |
2670.12846875 |
transcript.pyannote[117].end |
2675.39346875 |
transcript.pyannote[118].speaker |
SPEAKER_05 |
transcript.pyannote[118].start |
2675.88284375 |
transcript.pyannote[118].end |
2677.06409375 |
transcript.pyannote[119].speaker |
SPEAKER_05 |
transcript.pyannote[119].start |
2677.41846875 |
transcript.pyannote[119].end |
2678.76846875 |
transcript.pyannote[120].speaker |
SPEAKER_05 |
transcript.pyannote[120].start |
2681.70471875 |
transcript.pyannote[120].end |
2681.72159375 |
transcript.pyannote[121].speaker |
SPEAKER_14 |
transcript.pyannote[121].start |
2681.72159375 |
transcript.pyannote[121].end |
2682.05909375 |
transcript.pyannote[122].speaker |
SPEAKER_14 |
transcript.pyannote[122].start |
2682.58221875 |
transcript.pyannote[122].end |
2704.31721875 |
transcript.pyannote[123].speaker |
SPEAKER_05 |
transcript.pyannote[123].start |
2707.06784375 |
transcript.pyannote[123].end |
2708.90721875 |
transcript.pyannote[124].speaker |
SPEAKER_05 |
transcript.pyannote[124].start |
2708.95784375 |
transcript.pyannote[124].end |
2709.05909375 |
transcript.pyannote[125].speaker |
SPEAKER_05 |
transcript.pyannote[125].start |
2709.12659375 |
transcript.pyannote[125].end |
2751.24659375 |
transcript.pyannote[126].speaker |
SPEAKER_14 |
transcript.pyannote[126].start |
2752.39409375 |
transcript.pyannote[126].end |
2764.27409375 |
transcript.pyannote[127].speaker |
SPEAKER_14 |
transcript.pyannote[127].start |
2765.11784375 |
transcript.pyannote[127].end |
2770.75409375 |
transcript.pyannote[128].speaker |
SPEAKER_14 |
transcript.pyannote[128].start |
2770.87221875 |
transcript.pyannote[128].end |
2770.97346875 |
transcript.pyannote[129].speaker |
SPEAKER_14 |
transcript.pyannote[129].start |
2771.42909375 |
transcript.pyannote[129].end |
2774.97284375 |
transcript.pyannote[130].speaker |
SPEAKER_14 |
transcript.pyannote[130].start |
2775.39471875 |
transcript.pyannote[130].end |
2783.61284375 |
transcript.pyannote[131].speaker |
SPEAKER_14 |
transcript.pyannote[131].start |
2785.68846875 |
transcript.pyannote[131].end |
2788.89471875 |
transcript.pyannote[132].speaker |
SPEAKER_14 |
transcript.pyannote[132].start |
2791.17284375 |
transcript.pyannote[132].end |
2791.64534375 |
transcript.pyannote[133].speaker |
SPEAKER_14 |
transcript.pyannote[133].start |
2792.62409375 |
transcript.pyannote[133].end |
2793.19784375 |
transcript.pyannote[134].speaker |
SPEAKER_14 |
transcript.pyannote[134].start |
2794.98659375 |
transcript.pyannote[134].end |
2796.37034375 |
transcript.pyannote[135].speaker |
SPEAKER_14 |
transcript.pyannote[135].start |
2798.64846875 |
transcript.pyannote[135].end |
2799.86346875 |
transcript.pyannote[136].speaker |
SPEAKER_14 |
transcript.pyannote[136].start |
2799.96471875 |
transcript.pyannote[136].end |
2801.41596875 |
transcript.pyannote[137].speaker |
SPEAKER_14 |
transcript.pyannote[137].start |
2802.05721875 |
transcript.pyannote[137].end |
2803.72784375 |
transcript.pyannote[138].speaker |
SPEAKER_14 |
transcript.pyannote[138].start |
2804.35221875 |
transcript.pyannote[138].end |
2805.97221875 |
transcript.pyannote[139].speaker |
SPEAKER_14 |
transcript.pyannote[139].start |
2806.32659375 |
transcript.pyannote[139].end |
2807.92971875 |
transcript.pyannote[140].speaker |
SPEAKER_14 |
transcript.pyannote[140].start |
2808.92534375 |
transcript.pyannote[140].end |
2810.42721875 |
transcript.pyannote[141].speaker |
SPEAKER_14 |
transcript.pyannote[141].start |
2811.28784375 |
transcript.pyannote[141].end |
2812.01346875 |
transcript.pyannote[142].speaker |
SPEAKER_14 |
transcript.pyannote[142].start |
2812.46909375 |
transcript.pyannote[142].end |
2814.88221875 |
transcript.pyannote[143].speaker |
SPEAKER_14 |
transcript.pyannote[143].start |
2815.54034375 |
transcript.pyannote[143].end |
2819.45534375 |
transcript.pyannote[144].speaker |
SPEAKER_14 |
transcript.pyannote[144].start |
2819.60721875 |
transcript.pyannote[144].end |
2821.39596875 |
transcript.pyannote[145].speaker |
SPEAKER_14 |
transcript.pyannote[145].start |
2821.69971875 |
transcript.pyannote[145].end |
2828.26409375 |
transcript.pyannote[146].speaker |
SPEAKER_14 |
transcript.pyannote[146].start |
2837.91659375 |
transcript.pyannote[146].end |
2838.22034375 |
transcript.pyannote[147].speaker |
SPEAKER_14 |
transcript.pyannote[147].start |
2841.73034375 |
transcript.pyannote[147].end |
2843.18159375 |
transcript.pyannote[148].speaker |
SPEAKER_14 |
transcript.pyannote[148].start |
2843.97471875 |
transcript.pyannote[148].end |
2845.99971875 |
transcript.pyannote[149].speaker |
SPEAKER_14 |
transcript.pyannote[149].start |
2846.57346875 |
transcript.pyannote[149].end |
2852.53034375 |
transcript.pyannote[150].speaker |
SPEAKER_14 |
transcript.pyannote[150].start |
2854.09971875 |
transcript.pyannote[150].end |
2854.62284375 |
transcript.pyannote[151].speaker |
SPEAKER_14 |
transcript.pyannote[151].start |
2854.65659375 |
transcript.pyannote[151].end |
2863.41471875 |
transcript.pyannote[152].speaker |
SPEAKER_14 |
transcript.pyannote[152].start |
2863.60034375 |
transcript.pyannote[152].end |
2871.34596875 |
transcript.pyannote[153].speaker |
SPEAKER_36 |
transcript.pyannote[153].start |
2884.17096875 |
transcript.pyannote[153].end |
2888.64284375 |
transcript.pyannote[154].speaker |
SPEAKER_36 |
transcript.pyannote[154].start |
2888.71034375 |
transcript.pyannote[154].end |
2889.03096875 |
transcript.pyannote[155].speaker |
SPEAKER_36 |
transcript.pyannote[155].start |
2889.16596875 |
transcript.pyannote[155].end |
2900.03346875 |
transcript.pyannote[156].speaker |
SPEAKER_36 |
transcript.pyannote[156].start |
2900.38784375 |
transcript.pyannote[156].end |
2906.34471875 |
transcript.pyannote[157].speaker |
SPEAKER_36 |
transcript.pyannote[157].start |
2906.76659375 |
transcript.pyannote[157].end |
2910.04034375 |
transcript.pyannote[158].speaker |
SPEAKER_36 |
transcript.pyannote[158].start |
2910.42846875 |
transcript.pyannote[158].end |
2920.04721875 |
transcript.pyannote[159].speaker |
SPEAKER_36 |
transcript.pyannote[159].start |
2920.31721875 |
transcript.pyannote[159].end |
2923.30409375 |
transcript.pyannote[160].speaker |
SPEAKER_36 |
transcript.pyannote[160].start |
2923.55721875 |
transcript.pyannote[160].end |
2925.36284375 |
transcript.pyannote[161].speaker |
SPEAKER_36 |
transcript.pyannote[161].start |
2925.63284375 |
transcript.pyannote[161].end |
2927.26971875 |
transcript.pyannote[162].speaker |
SPEAKER_36 |
transcript.pyannote[162].start |
2927.37096875 |
transcript.pyannote[162].end |
2930.67846875 |
transcript.pyannote[163].speaker |
SPEAKER_36 |
transcript.pyannote[163].start |
2930.84721875 |
transcript.pyannote[163].end |
2934.61034375 |
transcript.pyannote[164].speaker |
SPEAKER_36 |
transcript.pyannote[164].start |
2934.64409375 |
transcript.pyannote[164].end |
2936.21346875 |
transcript.pyannote[165].speaker |
SPEAKER_36 |
transcript.pyannote[165].start |
2936.50034375 |
transcript.pyannote[165].end |
2946.91221875 |
transcript.pyannote[166].speaker |
SPEAKER_36 |
transcript.pyannote[166].start |
2947.38471875 |
transcript.pyannote[166].end |
2954.10096875 |
transcript.pyannote[167].speaker |
SPEAKER_36 |
transcript.pyannote[167].start |
2954.55659375 |
transcript.pyannote[167].end |
2957.62784375 |
transcript.pyannote[168].speaker |
SPEAKER_36 |
transcript.pyannote[168].start |
2958.10034375 |
transcript.pyannote[168].end |
2959.50096875 |
transcript.pyannote[169].speaker |
SPEAKER_36 |
transcript.pyannote[169].start |
2959.80471875 |
transcript.pyannote[169].end |
2960.22659375 |
transcript.pyannote[170].speaker |
SPEAKER_36 |
transcript.pyannote[170].start |
2960.64846875 |
transcript.pyannote[170].end |
2961.94784375 |
transcript.pyannote[171].speaker |
SPEAKER_36 |
transcript.pyannote[171].start |
2962.31909375 |
transcript.pyannote[171].end |
2977.06784375 |
transcript.pyannote[172].speaker |
SPEAKER_36 |
transcript.pyannote[172].start |
2977.18596875 |
transcript.pyannote[172].end |
2980.51034375 |
transcript.pyannote[173].speaker |
SPEAKER_36 |
transcript.pyannote[173].start |
2980.94909375 |
transcript.pyannote[173].end |
3006.12659375 |
transcript.pyannote[174].speaker |
SPEAKER_36 |
transcript.pyannote[174].start |
3006.97034375 |
transcript.pyannote[174].end |
3007.93221875 |
transcript.pyannote[175].speaker |
SPEAKER_36 |
transcript.pyannote[175].start |
3008.25284375 |
transcript.pyannote[175].end |
3017.16284375 |
transcript.pyannote[176].speaker |
SPEAKER_36 |
transcript.pyannote[176].start |
3017.46659375 |
transcript.pyannote[176].end |
3027.49034375 |
transcript.pyannote[177].speaker |
SPEAKER_36 |
transcript.pyannote[177].start |
3027.97971875 |
transcript.pyannote[177].end |
3043.74096875 |
transcript.pyannote[178].speaker |
SPEAKER_36 |
transcript.pyannote[178].start |
3044.16284375 |
transcript.pyannote[178].end |
3052.58346875 |
transcript.pyannote[179].speaker |
SPEAKER_36 |
transcript.pyannote[179].start |
3053.00534375 |
transcript.pyannote[179].end |
3055.30034375 |
transcript.pyannote[180].speaker |
SPEAKER_36 |
transcript.pyannote[180].start |
3055.53659375 |
transcript.pyannote[180].end |
3062.50596875 |
transcript.pyannote[181].speaker |
SPEAKER_14 |
transcript.pyannote[181].start |
3063.23159375 |
transcript.pyannote[181].end |
3081.22034375 |
transcript.pyannote[182].speaker |
SPEAKER_14 |
transcript.pyannote[182].start |
3081.60846875 |
transcript.pyannote[182].end |
3082.18221875 |
transcript.pyannote[183].speaker |
SPEAKER_14 |
transcript.pyannote[183].start |
3082.84034375 |
transcript.pyannote[183].end |
3083.21159375 |
transcript.pyannote[184].speaker |
SPEAKER_14 |
transcript.pyannote[184].start |
3083.65034375 |
transcript.pyannote[184].end |
3084.39284375 |
transcript.pyannote[185].speaker |
SPEAKER_14 |
transcript.pyannote[185].start |
3084.61221875 |
transcript.pyannote[185].end |
3085.27034375 |
transcript.pyannote[186].speaker |
SPEAKER_14 |
transcript.pyannote[186].start |
3086.24909375 |
transcript.pyannote[186].end |
3087.05909375 |
transcript.pyannote[187].speaker |
SPEAKER_14 |
transcript.pyannote[187].start |
3087.29534375 |
transcript.pyannote[187].end |
3092.91471875 |
transcript.pyannote[188].speaker |
SPEAKER_14 |
transcript.pyannote[188].start |
3093.67409375 |
transcript.pyannote[188].end |
3094.16346875 |
transcript.pyannote[189].speaker |
SPEAKER_14 |
transcript.pyannote[189].start |
3095.64846875 |
transcript.pyannote[189].end |
3102.71909375 |
transcript.pyannote[190].speaker |
SPEAKER_14 |
transcript.pyannote[190].start |
3103.52909375 |
transcript.pyannote[190].end |
3105.16596875 |
transcript.pyannote[191].speaker |
SPEAKER_14 |
transcript.pyannote[191].start |
3108.77721875 |
transcript.pyannote[191].end |
3110.04284375 |
transcript.pyannote[192].speaker |
SPEAKER_36 |
transcript.pyannote[192].start |
3111.96659375 |
transcript.pyannote[192].end |
3112.03409375 |
transcript.pyannote[193].speaker |
SPEAKER_36 |
transcript.pyannote[193].start |
3117.97409375 |
transcript.pyannote[193].end |
3118.02471875 |
transcript.pyannote[194].speaker |
SPEAKER_36 |
transcript.pyannote[194].start |
3118.96971875 |
transcript.pyannote[194].end |
3119.03721875 |
transcript.pyannote[195].speaker |
SPEAKER_36 |
transcript.pyannote[195].start |
3120.47159375 |
transcript.pyannote[195].end |
3125.07846875 |
transcript.pyannote[196].speaker |
SPEAKER_36 |
transcript.pyannote[196].start |
3125.65221875 |
transcript.pyannote[196].end |
3126.27659375 |
transcript.pyannote[197].speaker |
SPEAKER_36 |
transcript.pyannote[197].start |
3126.36096875 |
transcript.pyannote[197].end |
3127.20471875 |
transcript.pyannote[198].speaker |
SPEAKER_36 |
transcript.pyannote[198].start |
3127.55909375 |
transcript.pyannote[198].end |
3136.01346875 |
transcript.pyannote[199].speaker |
SPEAKER_36 |
transcript.pyannote[199].start |
3136.23284375 |
transcript.pyannote[199].end |
3149.71596875 |
transcript.pyannote[200].speaker |
SPEAKER_14 |
transcript.pyannote[200].start |
3146.50971875 |
transcript.pyannote[200].end |
3147.06659375 |
transcript.pyannote[201].speaker |
SPEAKER_14 |
transcript.pyannote[201].start |
3149.54721875 |
transcript.pyannote[201].end |
3164.58284375 |
transcript.pyannote[202].speaker |
SPEAKER_30 |
transcript.pyannote[202].start |
3170.77596875 |
transcript.pyannote[202].end |
3176.81721875 |
transcript.pyannote[203].speaker |
SPEAKER_30 |
transcript.pyannote[203].start |
3177.03659375 |
transcript.pyannote[203].end |
3182.35221875 |
transcript.pyannote[204].speaker |
SPEAKER_14 |
transcript.pyannote[204].start |
3181.98096875 |
transcript.pyannote[204].end |
3184.27596875 |
transcript.pyannote[205].speaker |
SPEAKER_30 |
transcript.pyannote[205].start |
3184.61346875 |
transcript.pyannote[205].end |
3188.39346875 |
transcript.pyannote[206].speaker |
SPEAKER_30 |
transcript.pyannote[206].start |
3189.20346875 |
transcript.pyannote[206].end |
3203.27721875 |
transcript.pyannote[207].speaker |
SPEAKER_14 |
transcript.pyannote[207].start |
3202.85534375 |
transcript.pyannote[207].end |
3204.81284375 |
transcript.pyannote[208].speaker |
SPEAKER_14 |
transcript.pyannote[208].start |
3207.59721875 |
transcript.pyannote[208].end |
3209.80784375 |
transcript.pyannote[209].speaker |
SPEAKER_14 |
transcript.pyannote[209].start |
3210.61784375 |
transcript.pyannote[209].end |
3213.33471875 |
transcript.pyannote[210].speaker |
SPEAKER_14 |
transcript.pyannote[210].start |
3213.65534375 |
transcript.pyannote[210].end |
3215.25846875 |
transcript.pyannote[211].speaker |
SPEAKER_14 |
transcript.pyannote[211].start |
3216.03471875 |
transcript.pyannote[211].end |
3217.03034375 |
transcript.pyannote[212].speaker |
SPEAKER_14 |
transcript.pyannote[212].start |
3217.21596875 |
transcript.pyannote[212].end |
3220.33784375 |
transcript.pyannote[213].speaker |
SPEAKER_14 |
transcript.pyannote[213].start |
3220.99596875 |
transcript.pyannote[213].end |
3222.63284375 |
transcript.pyannote[214].speaker |
SPEAKER_14 |
transcript.pyannote[214].start |
3222.95346875 |
transcript.pyannote[214].end |
3225.14721875 |
transcript.pyannote[215].speaker |
SPEAKER_14 |
transcript.pyannote[215].start |
3225.38346875 |
transcript.pyannote[215].end |
3229.06221875 |
transcript.pyannote[216].speaker |
SPEAKER_14 |
transcript.pyannote[216].start |
3229.39971875 |
transcript.pyannote[216].end |
3231.08721875 |
transcript.pyannote[217].speaker |
SPEAKER_14 |
transcript.pyannote[217].start |
3231.23909375 |
transcript.pyannote[217].end |
3233.83784375 |
transcript.pyannote[218].speaker |
SPEAKER_14 |
transcript.pyannote[218].start |
3234.25971875 |
transcript.pyannote[218].end |
3237.49971875 |
transcript.pyannote[219].speaker |
SPEAKER_14 |
transcript.pyannote[219].start |
3237.76971875 |
transcript.pyannote[219].end |
3239.40659375 |
transcript.pyannote[220].speaker |
SPEAKER_14 |
transcript.pyannote[220].start |
3240.79034375 |
transcript.pyannote[220].end |
3242.22471875 |
transcript.pyannote[221].speaker |
SPEAKER_14 |
transcript.pyannote[221].start |
3242.76471875 |
transcript.pyannote[221].end |
3243.33846875 |
transcript.pyannote[222].speaker |
SPEAKER_14 |
transcript.pyannote[222].start |
3243.82784375 |
transcript.pyannote[222].end |
3246.37596875 |
transcript.pyannote[223].speaker |
SPEAKER_30 |
transcript.pyannote[223].start |
3246.37596875 |
transcript.pyannote[223].end |
3246.46034375 |
transcript.pyannote[224].speaker |
SPEAKER_14 |
transcript.pyannote[224].start |
3247.91159375 |
transcript.pyannote[224].end |
3247.92846875 |
transcript.pyannote[225].speaker |
SPEAKER_30 |
transcript.pyannote[225].start |
3247.92846875 |
transcript.pyannote[225].end |
3249.39659375 |
transcript.pyannote[226].speaker |
SPEAKER_30 |
transcript.pyannote[226].start |
3249.64971875 |
transcript.pyannote[226].end |
3260.88846875 |
transcript.pyannote[227].speaker |
SPEAKER_14 |
transcript.pyannote[227].start |
3261.02346875 |
transcript.pyannote[227].end |
3265.05659375 |
transcript.pyannote[228].speaker |
SPEAKER_14 |
transcript.pyannote[228].start |
3267.67221875 |
transcript.pyannote[228].end |
3268.02659375 |
transcript.pyannote[229].speaker |
SPEAKER_14 |
transcript.pyannote[229].start |
3270.08534375 |
transcript.pyannote[229].end |
3276.24471875 |
transcript.pyannote[230].speaker |
SPEAKER_14 |
transcript.pyannote[230].start |
3276.63284375 |
transcript.pyannote[230].end |
3277.05471875 |
transcript.pyannote[231].speaker |
SPEAKER_14 |
transcript.pyannote[231].start |
3277.72971875 |
transcript.pyannote[231].end |
3279.55221875 |
transcript.pyannote[232].speaker |
SPEAKER_14 |
transcript.pyannote[232].start |
3280.58159375 |
transcript.pyannote[232].end |
3285.00284375 |
transcript.pyannote[233].speaker |
SPEAKER_14 |
transcript.pyannote[233].start |
3285.28971875 |
transcript.pyannote[233].end |
3299.16096875 |
transcript.pyannote[234].speaker |
SPEAKER_14 |
transcript.pyannote[234].start |
3299.38034375 |
transcript.pyannote[234].end |
3305.80971875 |
transcript.pyannote[235].speaker |
SPEAKER_14 |
transcript.pyannote[235].start |
3305.87721875 |
transcript.pyannote[235].end |
3311.26034375 |
transcript.pyannote[236].speaker |
SPEAKER_21 |
transcript.pyannote[236].start |
3322.98846875 |
transcript.pyannote[236].end |
3323.69721875 |
transcript.pyannote[237].speaker |
SPEAKER_21 |
transcript.pyannote[237].start |
3324.23721875 |
transcript.pyannote[237].end |
3324.97971875 |
transcript.pyannote[238].speaker |
SPEAKER_21 |
transcript.pyannote[238].start |
3333.51846875 |
transcript.pyannote[238].end |
3333.92346875 |
transcript.pyannote[239].speaker |
SPEAKER_05 |
transcript.pyannote[239].start |
3333.92346875 |
transcript.pyannote[239].end |
3333.99096875 |
transcript.pyannote[240].speaker |
SPEAKER_21 |
transcript.pyannote[240].start |
3334.56471875 |
transcript.pyannote[240].end |
3342.63096875 |
transcript.pyannote[241].speaker |
SPEAKER_21 |
transcript.pyannote[241].start |
3343.12034375 |
transcript.pyannote[241].end |
3354.47721875 |
transcript.pyannote[242].speaker |
SPEAKER_21 |
transcript.pyannote[242].start |
3354.73034375 |
transcript.pyannote[242].end |
3362.74596875 |
transcript.pyannote[243].speaker |
SPEAKER_05 |
transcript.pyannote[243].start |
3363.47159375 |
transcript.pyannote[243].end |
3363.97784375 |
transcript.pyannote[244].speaker |
SPEAKER_21 |
transcript.pyannote[244].start |
3363.97784375 |
transcript.pyannote[244].end |
3377.59596875 |
transcript.pyannote[245].speaker |
SPEAKER_05 |
transcript.pyannote[245].start |
3365.53034375 |
transcript.pyannote[245].end |
3365.64846875 |
transcript.pyannote[246].speaker |
SPEAKER_31 |
transcript.pyannote[246].start |
3380.36346875 |
transcript.pyannote[246].end |
3380.41409375 |
transcript.pyannote[247].speaker |
SPEAKER_21 |
transcript.pyannote[247].start |
3380.41409375 |
transcript.pyannote[247].end |
3381.61221875 |
transcript.pyannote[248].speaker |
SPEAKER_21 |
transcript.pyannote[248].start |
3383.36721875 |
transcript.pyannote[248].end |
3385.35846875 |
transcript.pyannote[249].speaker |
SPEAKER_21 |
transcript.pyannote[249].start |
3385.89846875 |
transcript.pyannote[249].end |
3387.51846875 |
transcript.pyannote[250].speaker |
SPEAKER_21 |
transcript.pyannote[250].start |
3389.08784375 |
transcript.pyannote[250].end |
3390.60659375 |
transcript.pyannote[251].speaker |
SPEAKER_21 |
transcript.pyannote[251].start |
3391.28159375 |
transcript.pyannote[251].end |
3395.34846875 |
transcript.pyannote[252].speaker |
SPEAKER_21 |
transcript.pyannote[252].start |
3395.85471875 |
transcript.pyannote[252].end |
3401.00159375 |
transcript.pyannote[253].speaker |
SPEAKER_21 |
transcript.pyannote[253].start |
3401.74409375 |
transcript.pyannote[253].end |
3403.36409375 |
transcript.pyannote[254].speaker |
SPEAKER_05 |
transcript.pyannote[254].start |
3403.80284375 |
transcript.pyannote[254].end |
3409.55721875 |
transcript.pyannote[255].speaker |
SPEAKER_21 |
transcript.pyannote[255].start |
3409.48971875 |
transcript.pyannote[255].end |
3419.04096875 |
transcript.pyannote[256].speaker |
SPEAKER_05 |
transcript.pyannote[256].start |
3410.01284375 |
transcript.pyannote[256].end |
3410.80596875 |
transcript.pyannote[257].speaker |
SPEAKER_21 |
transcript.pyannote[257].start |
3419.31096875 |
transcript.pyannote[257].end |
3436.30409375 |
transcript.pyannote[258].speaker |
SPEAKER_05 |
transcript.pyannote[258].start |
3436.59096875 |
transcript.pyannote[258].end |
3436.69221875 |
transcript.pyannote[259].speaker |
SPEAKER_05 |
transcript.pyannote[259].start |
3437.08034375 |
transcript.pyannote[259].end |
3461.97096875 |
transcript.pyannote[260].speaker |
SPEAKER_21 |
transcript.pyannote[260].start |
3461.97096875 |
transcript.pyannote[260].end |
3465.39659375 |
transcript.pyannote[261].speaker |
SPEAKER_21 |
transcript.pyannote[261].start |
3466.76346875 |
transcript.pyannote[261].end |
3468.23159375 |
transcript.pyannote[262].speaker |
SPEAKER_21 |
transcript.pyannote[262].start |
3469.05846875 |
transcript.pyannote[262].end |
3475.03221875 |
transcript.pyannote[263].speaker |
SPEAKER_21 |
transcript.pyannote[263].start |
3475.04909375 |
transcript.pyannote[263].end |
3478.60971875 |
transcript.pyannote[264].speaker |
SPEAKER_21 |
transcript.pyannote[264].start |
3478.89659375 |
transcript.pyannote[264].end |
3479.41971875 |
transcript.pyannote[265].speaker |
SPEAKER_21 |
transcript.pyannote[265].start |
3479.47034375 |
transcript.pyannote[265].end |
3480.58409375 |
transcript.pyannote[266].speaker |
SPEAKER_21 |
transcript.pyannote[266].start |
3481.05659375 |
transcript.pyannote[266].end |
3481.84971875 |
transcript.pyannote[267].speaker |
SPEAKER_21 |
transcript.pyannote[267].start |
3482.59221875 |
transcript.pyannote[267].end |
3490.15221875 |
transcript.pyannote[268].speaker |
SPEAKER_05 |
transcript.pyannote[268].start |
3487.51971875 |
transcript.pyannote[268].end |
3488.29596875 |
transcript.pyannote[269].speaker |
SPEAKER_05 |
transcript.pyannote[269].start |
3490.21971875 |
transcript.pyannote[269].end |
3493.44284375 |
transcript.pyannote[270].speaker |
SPEAKER_21 |
transcript.pyannote[270].start |
3493.44284375 |
transcript.pyannote[270].end |
3498.65721875 |
transcript.pyannote[271].speaker |
SPEAKER_05 |
transcript.pyannote[271].start |
3496.85159375 |
transcript.pyannote[271].end |
3496.88534375 |
transcript.pyannote[272].speaker |
SPEAKER_04 |
transcript.pyannote[272].start |
3496.88534375 |
transcript.pyannote[272].end |
3497.15534375 |
transcript.pyannote[273].speaker |
SPEAKER_05 |
transcript.pyannote[273].start |
3497.15534375 |
transcript.pyannote[273].end |
3497.18909375 |
transcript.pyannote[274].speaker |
SPEAKER_21 |
transcript.pyannote[274].start |
3499.01159375 |
transcript.pyannote[274].end |
3499.50096875 |
transcript.pyannote[275].speaker |
SPEAKER_04 |
transcript.pyannote[275].start |
3500.04096875 |
transcript.pyannote[275].end |
3502.52159375 |
transcript.pyannote[276].speaker |
SPEAKER_21 |
transcript.pyannote[276].start |
3500.85096875 |
transcript.pyannote[276].end |
3502.82534375 |
transcript.pyannote[277].speaker |
SPEAKER_04 |
transcript.pyannote[277].start |
3503.55096875 |
transcript.pyannote[277].end |
3503.95596875 |
transcript.pyannote[278].speaker |
SPEAKER_21 |
transcript.pyannote[278].start |
3503.65221875 |
transcript.pyannote[278].end |
3507.80346875 |
transcript.pyannote[279].speaker |
SPEAKER_05 |
transcript.pyannote[279].start |
3507.41534375 |
transcript.pyannote[279].end |
3517.25346875 |
transcript.pyannote[280].speaker |
SPEAKER_21 |
transcript.pyannote[280].start |
3516.47721875 |
transcript.pyannote[280].end |
3520.47659375 |
transcript.pyannote[281].speaker |
SPEAKER_21 |
transcript.pyannote[281].start |
3521.01659375 |
transcript.pyannote[281].end |
3524.20596875 |
transcript.pyannote[282].speaker |
SPEAKER_21 |
transcript.pyannote[282].start |
3525.26909375 |
transcript.pyannote[282].end |
3532.82909375 |
transcript.pyannote[283].speaker |
SPEAKER_30 |
transcript.pyannote[283].start |
3532.82909375 |
transcript.pyannote[283].end |
3539.66346875 |
transcript.pyannote[284].speaker |
SPEAKER_21 |
transcript.pyannote[284].start |
3538.54971875 |
transcript.pyannote[284].end |
3538.92096875 |
transcript.pyannote[285].speaker |
SPEAKER_21 |
transcript.pyannote[285].start |
3539.66346875 |
transcript.pyannote[285].end |
3541.53659375 |
transcript.pyannote[286].speaker |
SPEAKER_30 |
transcript.pyannote[286].start |
3539.69721875 |
transcript.pyannote[286].end |
3539.89971875 |
transcript.pyannote[287].speaker |
SPEAKER_30 |
transcript.pyannote[287].start |
3540.30471875 |
transcript.pyannote[287].end |
3540.65909375 |
transcript.pyannote[288].speaker |
SPEAKER_21 |
transcript.pyannote[288].start |
3542.17784375 |
transcript.pyannote[288].end |
3559.25534375 |
transcript.pyannote[289].speaker |
SPEAKER_21 |
transcript.pyannote[289].start |
3560.63909375 |
transcript.pyannote[289].end |
3561.36471875 |
transcript.pyannote[290].speaker |
SPEAKER_21 |
transcript.pyannote[290].start |
3561.61784375 |
transcript.pyannote[290].end |
3562.15784375 |
transcript.pyannote[291].speaker |
SPEAKER_21 |
transcript.pyannote[291].start |
3562.52909375 |
transcript.pyannote[291].end |
3563.20409375 |
transcript.pyannote[292].speaker |
SPEAKER_21 |
transcript.pyannote[292].start |
3563.42346875 |
transcript.pyannote[292].end |
3565.33034375 |
transcript.pyannote[293].speaker |
SPEAKER_04 |
transcript.pyannote[293].start |
3566.56221875 |
transcript.pyannote[293].end |
3566.91659375 |
transcript.pyannote[294].speaker |
SPEAKER_21 |
transcript.pyannote[294].start |
3566.91659375 |
transcript.pyannote[294].end |
3567.64221875 |
transcript.pyannote[295].speaker |
SPEAKER_21 |
transcript.pyannote[295].start |
3568.77284375 |
transcript.pyannote[295].end |
3569.85284375 |
transcript.pyannote[296].speaker |
SPEAKER_21 |
transcript.pyannote[296].start |
3571.16909375 |
transcript.pyannote[296].end |
3574.03784375 |
transcript.pyannote[297].speaker |
SPEAKER_21 |
transcript.pyannote[297].start |
3574.44284375 |
transcript.pyannote[297].end |
3578.67846875 |
transcript.pyannote[298].speaker |
SPEAKER_21 |
transcript.pyannote[298].start |
3579.80909375 |
transcript.pyannote[298].end |
3580.34909375 |
transcript.pyannote[299].speaker |
SPEAKER_30 |
transcript.pyannote[299].start |
3580.34909375 |
transcript.pyannote[299].end |
3580.85534375 |
transcript.pyannote[300].speaker |
SPEAKER_21 |
transcript.pyannote[300].start |
3580.85534375 |
transcript.pyannote[300].end |
3585.07409375 |
transcript.pyannote[301].speaker |
SPEAKER_30 |
transcript.pyannote[301].start |
3583.36971875 |
transcript.pyannote[301].end |
3583.60596875 |
transcript.pyannote[302].speaker |
SPEAKER_21 |
transcript.pyannote[302].start |
3585.10784375 |
transcript.pyannote[302].end |
3589.25909375 |
transcript.pyannote[303].speaker |
SPEAKER_21 |
transcript.pyannote[303].start |
3589.78221875 |
transcript.pyannote[303].end |
3591.33471875 |
transcript.pyannote[304].speaker |
SPEAKER_21 |
transcript.pyannote[304].start |
3593.10659375 |
transcript.pyannote[304].end |
3602.01659375 |
transcript.pyannote[305].speaker |
SPEAKER_21 |
transcript.pyannote[305].start |
3602.33721875 |
transcript.pyannote[305].end |
3603.67034375 |
transcript.pyannote[306].speaker |
SPEAKER_30 |
transcript.pyannote[306].start |
3604.05846875 |
transcript.pyannote[306].end |
3604.76721875 |
transcript.pyannote[307].speaker |
SPEAKER_21 |
transcript.pyannote[307].start |
3604.76721875 |
transcript.pyannote[307].end |
3614.26784375 |
transcript.pyannote[308].speaker |
SPEAKER_21 |
transcript.pyannote[308].start |
3615.04409375 |
transcript.pyannote[308].end |
3616.14096875 |
transcript.pyannote[309].speaker |
SPEAKER_21 |
transcript.pyannote[309].start |
3617.71034375 |
transcript.pyannote[309].end |
3625.20284375 |
transcript.pyannote[310].speaker |
SPEAKER_21 |
transcript.pyannote[310].start |
3627.54846875 |
transcript.pyannote[310].end |
3631.59846875 |
transcript.pyannote[311].speaker |
SPEAKER_21 |
transcript.pyannote[311].start |
3632.05409375 |
transcript.pyannote[311].end |
3636.39096875 |
transcript.pyannote[312].speaker |
SPEAKER_21 |
transcript.pyannote[312].start |
3636.91409375 |
transcript.pyannote[312].end |
3638.50034375 |
transcript.pyannote[313].speaker |
SPEAKER_21 |
transcript.pyannote[313].start |
3639.31034375 |
transcript.pyannote[313].end |
3650.12721875 |
transcript.pyannote[314].speaker |
SPEAKER_05 |
transcript.pyannote[314].start |
3649.36784375 |
transcript.pyannote[314].end |
3653.43471875 |
transcript.pyannote[315].speaker |
SPEAKER_21 |
transcript.pyannote[315].start |
3651.78096875 |
transcript.pyannote[315].end |
3652.62471875 |
transcript.pyannote[316].speaker |
SPEAKER_21 |
transcript.pyannote[316].start |
3653.43471875 |
transcript.pyannote[316].end |
3656.47221875 |
transcript.pyannote[317].speaker |
SPEAKER_05 |
transcript.pyannote[317].start |
3653.89034375 |
transcript.pyannote[317].end |
3654.88596875 |
transcript.pyannote[318].speaker |
SPEAKER_05 |
transcript.pyannote[318].start |
3655.03784375 |
transcript.pyannote[318].end |
3660.03284375 |
transcript.pyannote[319].speaker |
SPEAKER_21 |
transcript.pyannote[319].start |
3660.03284375 |
transcript.pyannote[319].end |
3661.36596875 |
transcript.pyannote[320].speaker |
SPEAKER_05 |
transcript.pyannote[320].start |
3661.36596875 |
transcript.pyannote[320].end |
3661.97346875 |
transcript.pyannote[321].speaker |
SPEAKER_21 |
transcript.pyannote[321].start |
3661.97346875 |
transcript.pyannote[321].end |
3662.02409375 |
transcript.pyannote[322].speaker |
SPEAKER_05 |
transcript.pyannote[322].start |
3662.02409375 |
transcript.pyannote[322].end |
3662.47971875 |
transcript.pyannote[323].speaker |
SPEAKER_21 |
transcript.pyannote[323].start |
3662.47971875 |
transcript.pyannote[323].end |
3662.63159375 |
transcript.pyannote[324].speaker |
SPEAKER_05 |
transcript.pyannote[324].start |
3662.63159375 |
transcript.pyannote[324].end |
3662.64846875 |
transcript.pyannote[325].speaker |
SPEAKER_21 |
transcript.pyannote[325].start |
3662.64846875 |
transcript.pyannote[325].end |
3662.74971875 |
transcript.pyannote[326].speaker |
SPEAKER_05 |
transcript.pyannote[326].start |
3662.74971875 |
transcript.pyannote[326].end |
3662.83409375 |
transcript.pyannote[327].speaker |
SPEAKER_21 |
transcript.pyannote[327].start |
3662.83409375 |
transcript.pyannote[327].end |
3663.07034375 |
transcript.pyannote[328].speaker |
SPEAKER_05 |
transcript.pyannote[328].start |
3663.07034375 |
transcript.pyannote[328].end |
3663.08721875 |
transcript.pyannote[329].speaker |
SPEAKER_21 |
transcript.pyannote[329].start |
3663.08721875 |
transcript.pyannote[329].end |
3663.69471875 |
transcript.pyannote[330].speaker |
SPEAKER_21 |
transcript.pyannote[330].start |
3664.13346875 |
transcript.pyannote[330].end |
3665.75346875 |
transcript.pyannote[331].speaker |
SPEAKER_05 |
transcript.pyannote[331].start |
3665.75346875 |
transcript.pyannote[331].end |
3665.78721875 |
transcript.pyannote[332].speaker |
SPEAKER_05 |
transcript.pyannote[332].start |
3665.88846875 |
transcript.pyannote[332].end |
3674.98409375 |
transcript.pyannote[333].speaker |
SPEAKER_05 |
transcript.pyannote[333].start |
3675.08534375 |
transcript.pyannote[333].end |
3678.35909375 |
transcript.pyannote[334].speaker |
SPEAKER_21 |
transcript.pyannote[334].start |
3678.00471875 |
transcript.pyannote[334].end |
3685.53096875 |
transcript.pyannote[335].speaker |
SPEAKER_05 |
transcript.pyannote[335].start |
3684.34971875 |
transcript.pyannote[335].end |
3690.88034375 |
transcript.pyannote[336].speaker |
SPEAKER_21 |
transcript.pyannote[336].start |
3690.88034375 |
transcript.pyannote[336].end |
3691.26846875 |
transcript.pyannote[337].speaker |
SPEAKER_05 |
transcript.pyannote[337].start |
3690.94784375 |
transcript.pyannote[337].end |
3691.15034375 |
transcript.pyannote[338].speaker |
SPEAKER_05 |
transcript.pyannote[338].start |
3691.26846875 |
transcript.pyannote[338].end |
3691.97721875 |
transcript.pyannote[339].speaker |
SPEAKER_21 |
transcript.pyannote[339].start |
3691.97721875 |
transcript.pyannote[339].end |
3694.03596875 |
transcript.pyannote[340].speaker |
SPEAKER_21 |
transcript.pyannote[340].start |
3694.79534375 |
transcript.pyannote[340].end |
3702.84471875 |
transcript.pyannote[341].speaker |
SPEAKER_21 |
transcript.pyannote[341].start |
3703.09784375 |
transcript.pyannote[341].end |
3704.41409375 |
transcript.pyannote[342].speaker |
SPEAKER_21 |
transcript.pyannote[342].start |
3705.17346875 |
transcript.pyannote[342].end |
3724.34346875 |
transcript.pyannote[343].speaker |
SPEAKER_00 |
transcript.pyannote[343].start |
3715.55159375 |
transcript.pyannote[343].end |
3716.15909375 |
transcript.pyannote[344].speaker |
SPEAKER_05 |
transcript.pyannote[344].start |
3719.71971875 |
transcript.pyannote[344].end |
3720.27659375 |
transcript.pyannote[345].speaker |
SPEAKER_05 |
transcript.pyannote[345].start |
3721.89659375 |
transcript.pyannote[345].end |
3723.26346875 |
transcript.pyannote[346].speaker |
SPEAKER_05 |
transcript.pyannote[346].start |
3723.49971875 |
transcript.pyannote[346].end |
3729.43971875 |
transcript.pyannote[347].speaker |
SPEAKER_21 |
transcript.pyannote[347].start |
3729.43971875 |
transcript.pyannote[347].end |
3730.45221875 |
transcript.pyannote[348].speaker |
SPEAKER_05 |
transcript.pyannote[348].start |
3729.45659375 |
transcript.pyannote[348].end |
3730.97534375 |
transcript.pyannote[349].speaker |
SPEAKER_21 |
transcript.pyannote[349].start |
3730.97534375 |
transcript.pyannote[349].end |
3732.19034375 |
transcript.pyannote[350].speaker |
SPEAKER_21 |
transcript.pyannote[350].start |
3732.76409375 |
transcript.pyannote[350].end |
3741.03284375 |
transcript.pyannote[351].speaker |
SPEAKER_05 |
transcript.pyannote[351].start |
3739.66596875 |
transcript.pyannote[351].end |
3746.63534375 |
transcript.pyannote[352].speaker |
SPEAKER_21 |
transcript.pyannote[352].start |
3741.53909375 |
transcript.pyannote[352].end |
3741.57284375 |
transcript.pyannote[353].speaker |
SPEAKER_21 |
transcript.pyannote[353].start |
3741.58971875 |
transcript.pyannote[353].end |
3741.70784375 |
transcript.pyannote[354].speaker |
SPEAKER_21 |
transcript.pyannote[354].start |
3744.93096875 |
transcript.pyannote[354].end |
3745.97721875 |
transcript.pyannote[355].speaker |
SPEAKER_21 |
transcript.pyannote[355].start |
3746.63534375 |
transcript.pyannote[355].end |
3746.65221875 |
transcript.pyannote[356].speaker |
SPEAKER_05 |
transcript.pyannote[356].start |
3747.19221875 |
transcript.pyannote[356].end |
3748.27221875 |
transcript.pyannote[357].speaker |
SPEAKER_21 |
transcript.pyannote[357].start |
3747.20909375 |
transcript.pyannote[357].end |
3776.03159375 |
transcript.pyannote[358].speaker |
SPEAKER_21 |
transcript.pyannote[358].start |
3776.16659375 |
transcript.pyannote[358].end |
3781.12784375 |
transcript.pyannote[359].speaker |
SPEAKER_05 |
transcript.pyannote[359].start |
3778.81596875 |
transcript.pyannote[359].end |
3779.25471875 |
transcript.pyannote[360].speaker |
SPEAKER_05 |
transcript.pyannote[360].start |
3780.03096875 |
transcript.pyannote[360].end |
3780.30096875 |
transcript.pyannote[361].speaker |
SPEAKER_05 |
transcript.pyannote[361].start |
3781.33034375 |
transcript.pyannote[361].end |
3802.30596875 |
transcript.pyannote[362].speaker |
SPEAKER_21 |
transcript.pyannote[362].start |
3801.47909375 |
transcript.pyannote[362].end |
3802.15409375 |
transcript.pyannote[363].speaker |
SPEAKER_21 |
transcript.pyannote[363].start |
3802.30596875 |
transcript.pyannote[363].end |
3810.49034375 |
transcript.pyannote[364].speaker |
SPEAKER_05 |
transcript.pyannote[364].start |
3804.04409375 |
transcript.pyannote[364].end |
3805.19159375 |
transcript.pyannote[365].speaker |
SPEAKER_00 |
transcript.pyannote[365].start |
3806.08596875 |
transcript.pyannote[365].end |
3806.11971875 |
transcript.pyannote[366].speaker |
SPEAKER_05 |
transcript.pyannote[366].start |
3806.11971875 |
transcript.pyannote[366].end |
3808.60034375 |
transcript.pyannote[367].speaker |
SPEAKER_21 |
transcript.pyannote[367].start |
3810.70971875 |
transcript.pyannote[367].end |
3815.94096875 |
transcript.pyannote[368].speaker |
SPEAKER_04 |
transcript.pyannote[368].start |
3810.76034375 |
transcript.pyannote[368].end |
3810.82784375 |
transcript.pyannote[369].speaker |
SPEAKER_05 |
transcript.pyannote[369].start |
3816.17721875 |
transcript.pyannote[369].end |
3818.01659375 |
transcript.pyannote[370].speaker |
SPEAKER_21 |
transcript.pyannote[370].start |
3816.31221875 |
transcript.pyannote[370].end |
3816.78471875 |
transcript.pyannote[371].speaker |
SPEAKER_21 |
transcript.pyannote[371].start |
3818.01659375 |
transcript.pyannote[371].end |
3818.28659375 |
transcript.pyannote[372].speaker |
SPEAKER_05 |
transcript.pyannote[372].start |
3818.28659375 |
transcript.pyannote[372].end |
3820.41284375 |
transcript.pyannote[373].speaker |
SPEAKER_21 |
transcript.pyannote[373].start |
3820.41284375 |
transcript.pyannote[373].end |
3820.48034375 |
transcript.pyannote[374].speaker |
SPEAKER_21 |
transcript.pyannote[374].start |
3820.83471875 |
transcript.pyannote[374].end |
3833.08596875 |
transcript.pyannote[375].speaker |
SPEAKER_05 |
transcript.pyannote[375].start |
3833.08596875 |
transcript.pyannote[375].end |
3851.96909375 |
transcript.pyannote[376].speaker |
SPEAKER_21 |
transcript.pyannote[376].start |
3851.96909375 |
transcript.pyannote[376].end |
3865.28346875 |
transcript.pyannote[377].speaker |
SPEAKER_05 |
transcript.pyannote[377].start |
3861.03096875 |
transcript.pyannote[377].end |
3861.43596875 |
transcript.pyannote[378].speaker |
SPEAKER_05 |
transcript.pyannote[378].start |
3864.79409375 |
transcript.pyannote[378].end |
3869.09721875 |
transcript.pyannote[379].speaker |
SPEAKER_14 |
transcript.pyannote[379].start |
3873.04596875 |
transcript.pyannote[379].end |
3873.99096875 |
transcript.pyannote[380].speaker |
SPEAKER_14 |
transcript.pyannote[380].start |
3874.68284375 |
transcript.pyannote[380].end |
3875.27346875 |
transcript.pyannote[381].speaker |
SPEAKER_14 |
transcript.pyannote[381].start |
3876.47159375 |
transcript.pyannote[381].end |
3878.54721875 |
transcript.pyannote[382].speaker |
SPEAKER_16 |
transcript.pyannote[382].start |
3886.19159375 |
transcript.pyannote[382].end |
3888.58784375 |
transcript.pyannote[383].speaker |
SPEAKER_16 |
transcript.pyannote[383].start |
3889.14471875 |
transcript.pyannote[383].end |
3889.90409375 |
transcript.pyannote[384].speaker |
SPEAKER_16 |
transcript.pyannote[384].start |
3896.77221875 |
transcript.pyannote[384].end |
3898.67909375 |
transcript.pyannote[385].speaker |
SPEAKER_05 |
transcript.pyannote[385].start |
3896.90721875 |
transcript.pyannote[385].end |
3896.97471875 |
transcript.pyannote[386].speaker |
SPEAKER_05 |
transcript.pyannote[386].start |
3897.19409375 |
transcript.pyannote[386].end |
3897.98721875 |
transcript.pyannote[387].speaker |
SPEAKER_16 |
transcript.pyannote[387].start |
3899.50596875 |
transcript.pyannote[387].end |
3903.37034375 |
transcript.pyannote[388].speaker |
SPEAKER_16 |
transcript.pyannote[388].start |
3903.48846875 |
transcript.pyannote[388].end |
3904.43346875 |
transcript.pyannote[389].speaker |
SPEAKER_05 |
transcript.pyannote[389].start |
3904.58534375 |
transcript.pyannote[389].end |
3904.92284375 |
transcript.pyannote[390].speaker |
SPEAKER_16 |
transcript.pyannote[390].start |
3905.54721875 |
transcript.pyannote[390].end |
3906.69471875 |
transcript.pyannote[391].speaker |
SPEAKER_05 |
transcript.pyannote[391].start |
3906.69471875 |
transcript.pyannote[391].end |
3906.79596875 |
transcript.pyannote[392].speaker |
SPEAKER_38 |
transcript.pyannote[392].start |
3906.96471875 |
transcript.pyannote[392].end |
3907.01534375 |
transcript.pyannote[393].speaker |
SPEAKER_16 |
transcript.pyannote[393].start |
3907.13346875 |
transcript.pyannote[393].end |
3908.70284375 |
transcript.pyannote[394].speaker |
SPEAKER_16 |
transcript.pyannote[394].start |
3909.52971875 |
transcript.pyannote[394].end |
3910.81221875 |
transcript.pyannote[395].speaker |
SPEAKER_16 |
transcript.pyannote[395].start |
3911.74034375 |
transcript.pyannote[395].end |
3912.82034375 |
transcript.pyannote[396].speaker |
SPEAKER_16 |
transcript.pyannote[396].start |
3913.68096875 |
transcript.pyannote[396].end |
3914.82846875 |
transcript.pyannote[397].speaker |
SPEAKER_16 |
transcript.pyannote[397].start |
3915.94221875 |
transcript.pyannote[397].end |
3918.08534375 |
transcript.pyannote[398].speaker |
SPEAKER_16 |
transcript.pyannote[398].start |
3918.57471875 |
transcript.pyannote[398].end |
3921.46034375 |
transcript.pyannote[399].speaker |
SPEAKER_16 |
transcript.pyannote[399].start |
3922.59096875 |
transcript.pyannote[399].end |
3928.95284375 |
transcript.pyannote[400].speaker |
SPEAKER_16 |
transcript.pyannote[400].start |
3929.50971875 |
transcript.pyannote[400].end |
3930.87659375 |
transcript.pyannote[401].speaker |
SPEAKER_16 |
transcript.pyannote[401].start |
3931.16346875 |
transcript.pyannote[401].end |
3933.40784375 |
transcript.pyannote[402].speaker |
SPEAKER_16 |
transcript.pyannote[402].start |
3933.86346875 |
transcript.pyannote[402].end |
3938.55471875 |
transcript.pyannote[403].speaker |
SPEAKER_16 |
transcript.pyannote[403].start |
3939.12846875 |
transcript.pyannote[403].end |
3943.12784375 |
transcript.pyannote[404].speaker |
SPEAKER_16 |
transcript.pyannote[404].start |
3944.46096875 |
transcript.pyannote[404].end |
3948.96659375 |
transcript.pyannote[405].speaker |
SPEAKER_16 |
transcript.pyannote[405].start |
3949.96221875 |
transcript.pyannote[405].end |
3951.73409375 |
transcript.pyannote[406].speaker |
SPEAKER_16 |
transcript.pyannote[406].start |
3952.30784375 |
transcript.pyannote[406].end |
3954.45096875 |
transcript.pyannote[407].speaker |
SPEAKER_16 |
transcript.pyannote[407].start |
3954.92346875 |
transcript.pyannote[407].end |
3956.30721875 |
transcript.pyannote[408].speaker |
SPEAKER_16 |
transcript.pyannote[408].start |
3957.89346875 |
transcript.pyannote[408].end |
3958.53471875 |
transcript.pyannote[409].speaker |
SPEAKER_16 |
transcript.pyannote[409].start |
3959.54721875 |
transcript.pyannote[409].end |
3969.23346875 |
transcript.pyannote[410].speaker |
SPEAKER_16 |
transcript.pyannote[410].start |
3969.77346875 |
transcript.pyannote[410].end |
3972.22034375 |
transcript.pyannote[411].speaker |
SPEAKER_16 |
transcript.pyannote[411].start |
3972.81096875 |
transcript.pyannote[411].end |
3975.96659375 |
transcript.pyannote[412].speaker |
SPEAKER_16 |
transcript.pyannote[412].start |
3976.15221875 |
transcript.pyannote[412].end |
3978.80159375 |
transcript.pyannote[413].speaker |
SPEAKER_16 |
transcript.pyannote[413].start |
3979.49346875 |
transcript.pyannote[413].end |
3981.94034375 |
transcript.pyannote[414].speaker |
SPEAKER_16 |
transcript.pyannote[414].start |
3982.61534375 |
transcript.pyannote[414].end |
3983.52659375 |
transcript.pyannote[415].speaker |
SPEAKER_16 |
transcript.pyannote[415].start |
3983.54346875 |
transcript.pyannote[415].end |
3983.56034375 |
transcript.pyannote[416].speaker |
SPEAKER_16 |
transcript.pyannote[416].start |
3983.67846875 |
transcript.pyannote[416].end |
3986.17596875 |
transcript.pyannote[417].speaker |
SPEAKER_10 |
transcript.pyannote[417].start |
3983.77971875 |
transcript.pyannote[417].end |
3983.83034375 |
transcript.pyannote[418].speaker |
SPEAKER_10 |
transcript.pyannote[418].start |
3983.94846875 |
transcript.pyannote[418].end |
3983.98221875 |
transcript.pyannote[419].speaker |
SPEAKER_16 |
transcript.pyannote[419].start |
3986.31096875 |
transcript.pyannote[419].end |
3993.07784375 |
transcript.pyannote[420].speaker |
SPEAKER_16 |
transcript.pyannote[420].start |
3993.49971875 |
transcript.pyannote[420].end |
3994.03971875 |
transcript.pyannote[421].speaker |
SPEAKER_16 |
transcript.pyannote[421].start |
3994.86659375 |
transcript.pyannote[421].end |
4008.09659375 |
transcript.pyannote[422].speaker |
SPEAKER_05 |
transcript.pyannote[422].start |
4008.09659375 |
transcript.pyannote[422].end |
4008.29909375 |
transcript.pyannote[423].speaker |
SPEAKER_16 |
transcript.pyannote[423].start |
4008.29909375 |
transcript.pyannote[423].end |
4008.36659375 |
transcript.pyannote[424].speaker |
SPEAKER_05 |
transcript.pyannote[424].start |
4008.36659375 |
transcript.pyannote[424].end |
4008.78846875 |
transcript.pyannote[425].speaker |
SPEAKER_16 |
transcript.pyannote[425].start |
4008.78846875 |
transcript.pyannote[425].end |
4008.87284375 |
transcript.pyannote[426].speaker |
SPEAKER_05 |
transcript.pyannote[426].start |
4008.87284375 |
transcript.pyannote[426].end |
4008.90659375 |
transcript.pyannote[427].speaker |
SPEAKER_16 |
transcript.pyannote[427].start |
4008.90659375 |
transcript.pyannote[427].end |
4008.97409375 |
transcript.pyannote[428].speaker |
SPEAKER_05 |
transcript.pyannote[428].start |
4008.97409375 |
transcript.pyannote[428].end |
4030.27034375 |
transcript.pyannote[429].speaker |
SPEAKER_16 |
transcript.pyannote[429].start |
4016.65221875 |
transcript.pyannote[429].end |
4017.29346875 |
transcript.pyannote[430].speaker |
SPEAKER_16 |
transcript.pyannote[430].start |
4029.15659375 |
transcript.pyannote[430].end |
4030.59096875 |
transcript.pyannote[431].speaker |
SPEAKER_05 |
transcript.pyannote[431].start |
4030.59096875 |
transcript.pyannote[431].end |
4033.03784375 |
transcript.pyannote[432].speaker |
SPEAKER_16 |
transcript.pyannote[432].start |
4031.06346875 |
transcript.pyannote[432].end |
4031.43471875 |
transcript.pyannote[433].speaker |
SPEAKER_16 |
transcript.pyannote[433].start |
4033.03784375 |
transcript.pyannote[433].end |
4050.62159375 |
transcript.pyannote[434].speaker |
SPEAKER_05 |
transcript.pyannote[434].start |
4033.07159375 |
transcript.pyannote[434].end |
4033.29096875 |
transcript.pyannote[435].speaker |
SPEAKER_05 |
transcript.pyannote[435].start |
4040.09159375 |
transcript.pyannote[435].end |
4040.34471875 |
transcript.pyannote[436].speaker |
SPEAKER_37 |
transcript.pyannote[436].start |
4040.34471875 |
transcript.pyannote[436].end |
4040.37846875 |
transcript.pyannote[437].speaker |
SPEAKER_04 |
transcript.pyannote[437].start |
4051.06034375 |
transcript.pyannote[437].end |
4051.22909375 |
transcript.pyannote[438].speaker |
SPEAKER_16 |
transcript.pyannote[438].start |
4051.22909375 |
transcript.pyannote[438].end |
4069.69034375 |
transcript.pyannote[439].speaker |
SPEAKER_16 |
transcript.pyannote[439].start |
4069.99409375 |
transcript.pyannote[439].end |
4115.05034375 |
transcript.pyannote[440].speaker |
SPEAKER_00 |
transcript.pyannote[440].start |
4084.13534375 |
transcript.pyannote[440].end |
4084.20284375 |
transcript.pyannote[441].speaker |
SPEAKER_38 |
transcript.pyannote[441].start |
4084.20284375 |
transcript.pyannote[441].end |
4084.27034375 |
transcript.pyannote[442].speaker |
SPEAKER_00 |
transcript.pyannote[442].start |
4084.27034375 |
transcript.pyannote[442].end |
4084.42221875 |
transcript.pyannote[443].speaker |
SPEAKER_07 |
transcript.pyannote[443].start |
4103.03534375 |
transcript.pyannote[443].end |
4103.13659375 |
transcript.pyannote[444].speaker |
SPEAKER_00 |
transcript.pyannote[444].start |
4108.43534375 |
transcript.pyannote[444].end |
4108.89096875 |
transcript.pyannote[445].speaker |
SPEAKER_16 |
transcript.pyannote[445].start |
4115.57346875 |
transcript.pyannote[445].end |
4117.95284375 |
transcript.pyannote[446].speaker |
SPEAKER_16 |
transcript.pyannote[446].start |
4119.15096875 |
transcript.pyannote[446].end |
4119.70784375 |
transcript.pyannote[447].speaker |
SPEAKER_16 |
transcript.pyannote[447].start |
4120.02846875 |
transcript.pyannote[447].end |
4120.99034375 |
transcript.pyannote[448].speaker |
SPEAKER_16 |
transcript.pyannote[448].start |
4121.49659375 |
transcript.pyannote[448].end |
4125.83346875 |
transcript.pyannote[449].speaker |
SPEAKER_16 |
transcript.pyannote[449].start |
4126.94721875 |
transcript.pyannote[449].end |
4127.62221875 |
transcript.pyannote[450].speaker |
SPEAKER_16 |
transcript.pyannote[450].start |
4128.17909375 |
transcript.pyannote[450].end |
4129.02284375 |
transcript.pyannote[451].speaker |
SPEAKER_16 |
transcript.pyannote[451].start |
4129.52909375 |
transcript.pyannote[451].end |
4132.58346875 |
transcript.pyannote[452].speaker |
SPEAKER_16 |
transcript.pyannote[452].start |
4133.14034375 |
transcript.pyannote[452].end |
4139.29971875 |
transcript.pyannote[453].speaker |
SPEAKER_16 |
transcript.pyannote[453].start |
4140.22784375 |
transcript.pyannote[453].end |
4146.18471875 |
transcript.pyannote[454].speaker |
SPEAKER_16 |
transcript.pyannote[454].start |
4147.45034375 |
transcript.pyannote[454].end |
4151.60159375 |
transcript.pyannote[455].speaker |
SPEAKER_16 |
transcript.pyannote[455].start |
4151.98971875 |
transcript.pyannote[455].end |
4154.21721875 |
transcript.pyannote[456].speaker |
SPEAKER_16 |
transcript.pyannote[456].start |
4154.85846875 |
transcript.pyannote[456].end |
4155.70221875 |
transcript.pyannote[457].speaker |
SPEAKER_16 |
transcript.pyannote[457].start |
4156.78221875 |
transcript.pyannote[457].end |
4158.43596875 |
transcript.pyannote[458].speaker |
SPEAKER_16 |
transcript.pyannote[458].start |
4158.62159375 |
transcript.pyannote[458].end |
4160.10659375 |
transcript.pyannote[459].speaker |
SPEAKER_16 |
transcript.pyannote[459].start |
4160.52846875 |
transcript.pyannote[459].end |
4162.24971875 |
transcript.pyannote[460].speaker |
SPEAKER_16 |
transcript.pyannote[460].start |
4162.58721875 |
transcript.pyannote[460].end |
4162.92471875 |
transcript.pyannote[461].speaker |
SPEAKER_16 |
transcript.pyannote[461].start |
4163.31284375 |
transcript.pyannote[461].end |
4178.21346875 |
transcript.pyannote[462].speaker |
SPEAKER_16 |
transcript.pyannote[462].start |
4179.24284375 |
transcript.pyannote[462].end |
4183.84971875 |
transcript.pyannote[463].speaker |
SPEAKER_16 |
transcript.pyannote[463].start |
4184.40659375 |
transcript.pyannote[463].end |
4188.01784375 |
transcript.pyannote[464].speaker |
SPEAKER_16 |
transcript.pyannote[464].start |
4188.13596875 |
transcript.pyannote[464].end |
4188.72659375 |
transcript.pyannote[465].speaker |
SPEAKER_16 |
transcript.pyannote[465].start |
4189.40159375 |
transcript.pyannote[465].end |
4190.75159375 |
transcript.pyannote[466].speaker |
SPEAKER_16 |
transcript.pyannote[466].start |
4191.40971875 |
transcript.pyannote[466].end |
4193.02971875 |
transcript.pyannote[467].speaker |
SPEAKER_05 |
transcript.pyannote[467].start |
4193.02971875 |
transcript.pyannote[467].end |
4194.32909375 |
transcript.pyannote[468].speaker |
SPEAKER_05 |
transcript.pyannote[468].start |
4195.30784375 |
transcript.pyannote[468].end |
4195.59471875 |
transcript.pyannote[469].speaker |
SPEAKER_05 |
transcript.pyannote[469].start |
4196.16846875 |
transcript.pyannote[469].end |
4208.68971875 |
transcript.pyannote[470].speaker |
SPEAKER_16 |
transcript.pyannote[470].start |
4208.68971875 |
transcript.pyannote[470].end |
4214.35971875 |
transcript.pyannote[471].speaker |
SPEAKER_16 |
transcript.pyannote[471].start |
4214.64659375 |
transcript.pyannote[471].end |
4222.07159375 |
transcript.pyannote[472].speaker |
SPEAKER_16 |
transcript.pyannote[472].start |
4222.67909375 |
transcript.pyannote[472].end |
4228.99034375 |
transcript.pyannote[473].speaker |
SPEAKER_16 |
transcript.pyannote[473].start |
4229.10846875 |
transcript.pyannote[473].end |
4233.10784375 |
transcript.pyannote[474].speaker |
SPEAKER_16 |
transcript.pyannote[474].start |
4233.32721875 |
transcript.pyannote[474].end |
4244.70096875 |
transcript.pyannote[475].speaker |
SPEAKER_16 |
transcript.pyannote[475].start |
4245.32534375 |
transcript.pyannote[475].end |
4245.69659375 |
transcript.pyannote[476].speaker |
SPEAKER_16 |
transcript.pyannote[476].start |
4246.75971875 |
transcript.pyannote[476].end |
4251.40034375 |
transcript.pyannote[477].speaker |
SPEAKER_16 |
transcript.pyannote[477].start |
4252.17659375 |
transcript.pyannote[477].end |
4253.72909375 |
transcript.pyannote[478].speaker |
SPEAKER_16 |
transcript.pyannote[478].start |
4254.16784375 |
transcript.pyannote[478].end |
4255.26471875 |
transcript.pyannote[479].speaker |
SPEAKER_14 |
transcript.pyannote[479].start |
4256.00721875 |
transcript.pyannote[479].end |
4257.37409375 |
transcript.pyannote[480].speaker |
SPEAKER_16 |
transcript.pyannote[480].start |
4265.72721875 |
transcript.pyannote[480].end |
4269.01784375 |
transcript.pyannote[481].speaker |
SPEAKER_08 |
transcript.pyannote[481].start |
4265.87909375 |
transcript.pyannote[481].end |
4265.89596875 |
transcript.pyannote[482].speaker |
SPEAKER_16 |
transcript.pyannote[482].start |
4269.06846875 |
transcript.pyannote[482].end |
4269.10221875 |
transcript.pyannote[483].speaker |
SPEAKER_38 |
transcript.pyannote[483].start |
4269.10221875 |
transcript.pyannote[483].end |
4269.28784375 |
transcript.pyannote[484].speaker |
SPEAKER_16 |
transcript.pyannote[484].start |
4270.55346875 |
transcript.pyannote[484].end |
4271.44784375 |
transcript.pyannote[485].speaker |
SPEAKER_16 |
transcript.pyannote[485].start |
4272.10596875 |
transcript.pyannote[485].end |
4273.18596875 |
transcript.pyannote[486].speaker |
SPEAKER_16 |
transcript.pyannote[486].start |
4274.14784375 |
transcript.pyannote[486].end |
4274.82284375 |
transcript.pyannote[487].speaker |
SPEAKER_16 |
transcript.pyannote[487].start |
4275.48096875 |
transcript.pyannote[487].end |
4276.98284375 |
transcript.pyannote[488].speaker |
SPEAKER_16 |
transcript.pyannote[488].start |
4277.38784375 |
transcript.pyannote[488].end |
4286.23034375 |
transcript.pyannote[489].speaker |
SPEAKER_16 |
transcript.pyannote[489].start |
4286.68596875 |
transcript.pyannote[489].end |
4290.93846875 |
transcript.pyannote[490].speaker |
SPEAKER_16 |
transcript.pyannote[490].start |
4291.36034375 |
transcript.pyannote[490].end |
4297.09784375 |
transcript.pyannote[491].speaker |
SPEAKER_16 |
transcript.pyannote[491].start |
4297.68846875 |
transcript.pyannote[491].end |
4298.83596875 |
transcript.pyannote[492].speaker |
SPEAKER_16 |
transcript.pyannote[492].start |
4299.89909375 |
transcript.pyannote[492].end |
4302.02534375 |
transcript.pyannote[493].speaker |
SPEAKER_16 |
transcript.pyannote[493].start |
4302.51471875 |
transcript.pyannote[493].end |
4304.52284375 |
transcript.pyannote[494].speaker |
SPEAKER_16 |
transcript.pyannote[494].start |
4305.04596875 |
transcript.pyannote[494].end |
4306.36221875 |
transcript.pyannote[495].speaker |
SPEAKER_16 |
transcript.pyannote[495].start |
4307.00346875 |
transcript.pyannote[495].end |
4308.43784375 |
transcript.pyannote[496].speaker |
SPEAKER_16 |
transcript.pyannote[496].start |
4308.72471875 |
transcript.pyannote[496].end |
4316.97659375 |
transcript.pyannote[497].speaker |
SPEAKER_38 |
transcript.pyannote[497].start |
4315.06971875 |
transcript.pyannote[497].end |
4315.47471875 |
transcript.pyannote[498].speaker |
SPEAKER_16 |
transcript.pyannote[498].start |
4317.33096875 |
transcript.pyannote[498].end |
4324.45221875 |
transcript.pyannote[499].speaker |
SPEAKER_16 |
transcript.pyannote[499].start |
4324.95846875 |
transcript.pyannote[499].end |
4328.26596875 |
transcript.pyannote[500].speaker |
SPEAKER_05 |
transcript.pyannote[500].start |
4328.97471875 |
transcript.pyannote[500].end |
4329.51471875 |
transcript.pyannote[501].speaker |
SPEAKER_05 |
transcript.pyannote[501].start |
4330.76346875 |
transcript.pyannote[501].end |
4333.27784375 |
transcript.pyannote[502].speaker |
SPEAKER_08 |
transcript.pyannote[502].start |
4333.27784375 |
transcript.pyannote[502].end |
4334.44221875 |
transcript.pyannote[503].speaker |
SPEAKER_05 |
transcript.pyannote[503].start |
4334.44221875 |
transcript.pyannote[503].end |
4334.47596875 |
transcript.pyannote[504].speaker |
SPEAKER_08 |
transcript.pyannote[504].start |
4334.47596875 |
transcript.pyannote[504].end |
4334.49284375 |
transcript.pyannote[505].speaker |
SPEAKER_05 |
transcript.pyannote[505].start |
4334.49284375 |
transcript.pyannote[505].end |
4334.52659375 |
transcript.pyannote[506].speaker |
SPEAKER_08 |
transcript.pyannote[506].start |
4334.52659375 |
transcript.pyannote[506].end |
4334.72909375 |
transcript.pyannote[507].speaker |
SPEAKER_05 |
transcript.pyannote[507].start |
4334.72909375 |
transcript.pyannote[507].end |
4334.79659375 |
transcript.pyannote[508].speaker |
SPEAKER_08 |
transcript.pyannote[508].start |
4334.79659375 |
transcript.pyannote[508].end |
4334.86409375 |
transcript.pyannote[509].speaker |
SPEAKER_05 |
transcript.pyannote[509].start |
4335.25221875 |
transcript.pyannote[509].end |
4335.38721875 |
transcript.pyannote[510].speaker |
SPEAKER_08 |
transcript.pyannote[510].start |
4335.38721875 |
transcript.pyannote[510].end |
4336.02846875 |
transcript.pyannote[511].speaker |
SPEAKER_05 |
transcript.pyannote[511].start |
4335.40409375 |
transcript.pyannote[511].end |
4336.06221875 |
transcript.pyannote[512].speaker |
SPEAKER_08 |
transcript.pyannote[512].start |
4336.41659375 |
transcript.pyannote[512].end |
4337.85096875 |
transcript.pyannote[513].speaker |
SPEAKER_08 |
transcript.pyannote[513].start |
4338.67784375 |
transcript.pyannote[513].end |
4339.80846875 |
transcript.pyannote[514].speaker |
SPEAKER_08 |
transcript.pyannote[514].start |
4340.02784375 |
transcript.pyannote[514].end |
4345.69784375 |
transcript.pyannote[515].speaker |
SPEAKER_16 |
transcript.pyannote[515].start |
4345.24221875 |
transcript.pyannote[515].end |
4352.92034375 |
transcript.pyannote[516].speaker |
SPEAKER_08 |
transcript.pyannote[516].start |
4351.31721875 |
transcript.pyannote[516].end |
4351.95846875 |
transcript.pyannote[517].speaker |
SPEAKER_08 |
transcript.pyannote[517].start |
4352.92034375 |
transcript.pyannote[517].end |
4362.50534375 |
transcript.pyannote[518].speaker |
SPEAKER_16 |
transcript.pyannote[518].start |
4356.32909375 |
transcript.pyannote[518].end |
4356.70034375 |
transcript.pyannote[519].speaker |
SPEAKER_08 |
transcript.pyannote[519].start |
4362.94409375 |
transcript.pyannote[519].end |
4367.75346875 |
transcript.pyannote[520].speaker |
SPEAKER_16 |
transcript.pyannote[520].start |
4366.96034375 |
transcript.pyannote[520].end |
4367.73659375 |
transcript.pyannote[521].speaker |
SPEAKER_16 |
transcript.pyannote[521].start |
4367.75346875 |
transcript.pyannote[521].end |
4367.78721875 |
transcript.pyannote[522].speaker |
SPEAKER_08 |
transcript.pyannote[522].start |
4367.78721875 |
transcript.pyannote[522].end |
4367.82096875 |
transcript.pyannote[523].speaker |
SPEAKER_16 |
transcript.pyannote[523].start |
4367.82096875 |
transcript.pyannote[523].end |
4367.85471875 |
transcript.pyannote[524].speaker |
SPEAKER_16 |
transcript.pyannote[524].start |
4367.93909375 |
transcript.pyannote[524].end |
4372.49534375 |
transcript.pyannote[525].speaker |
SPEAKER_08 |
transcript.pyannote[525].start |
4368.09096875 |
transcript.pyannote[525].end |
4369.52534375 |
transcript.pyannote[526].speaker |
SPEAKER_16 |
transcript.pyannote[526].start |
4372.71471875 |
transcript.pyannote[526].end |
4376.30909375 |
transcript.pyannote[527].speaker |
SPEAKER_16 |
transcript.pyannote[527].start |
4376.78159375 |
transcript.pyannote[527].end |
4379.21159375 |
transcript.pyannote[528].speaker |
SPEAKER_16 |
transcript.pyannote[528].start |
4379.71784375 |
transcript.pyannote[528].end |
4380.66284375 |
transcript.pyannote[529].speaker |
SPEAKER_16 |
transcript.pyannote[529].start |
4381.00034375 |
transcript.pyannote[529].end |
4390.90596875 |
transcript.pyannote[530].speaker |
SPEAKER_16 |
transcript.pyannote[530].start |
4391.54721875 |
transcript.pyannote[530].end |
4429.34721875 |
transcript.pyannote[531].speaker |
SPEAKER_16 |
transcript.pyannote[531].start |
4429.49909375 |
transcript.pyannote[531].end |
4443.69096875 |
transcript.pyannote[532].speaker |
SPEAKER_16 |
transcript.pyannote[532].start |
4444.23096875 |
transcript.pyannote[532].end |
4451.62221875 |
transcript.pyannote[533].speaker |
SPEAKER_16 |
transcript.pyannote[533].start |
4452.09471875 |
transcript.pyannote[533].end |
4458.72659375 |
transcript.pyannote[534].speaker |
SPEAKER_16 |
transcript.pyannote[534].start |
4459.50284375 |
transcript.pyannote[534].end |
4461.03846875 |
transcript.pyannote[535].speaker |
SPEAKER_16 |
transcript.pyannote[535].start |
4461.69659375 |
transcript.pyannote[535].end |
4462.70909375 |
transcript.pyannote[536].speaker |
SPEAKER_16 |
transcript.pyannote[536].start |
4463.04659375 |
transcript.pyannote[536].end |
4464.81846875 |
transcript.pyannote[537].speaker |
SPEAKER_16 |
transcript.pyannote[537].start |
4465.49346875 |
transcript.pyannote[537].end |
4466.47221875 |
transcript.pyannote[538].speaker |
SPEAKER_16 |
transcript.pyannote[538].start |
4466.82659375 |
transcript.pyannote[538].end |
4471.70346875 |
transcript.pyannote[539].speaker |
SPEAKER_16 |
transcript.pyannote[539].start |
4472.24346875 |
transcript.pyannote[539].end |
4473.42471875 |
transcript.pyannote[540].speaker |
SPEAKER_16 |
transcript.pyannote[540].start |
4474.04909375 |
transcript.pyannote[540].end |
4487.73471875 |
transcript.pyannote[541].speaker |
SPEAKER_16 |
transcript.pyannote[541].start |
4488.15659375 |
transcript.pyannote[541].end |
4495.73346875 |
transcript.pyannote[542].speaker |
SPEAKER_16 |
transcript.pyannote[542].start |
4496.83034375 |
transcript.pyannote[542].end |
4508.55846875 |
transcript.pyannote[543].speaker |
SPEAKER_16 |
transcript.pyannote[543].start |
4509.43596875 |
transcript.pyannote[543].end |
4510.21221875 |
transcript.pyannote[544].speaker |
SPEAKER_16 |
transcript.pyannote[544].start |
4510.80284375 |
transcript.pyannote[544].end |
4512.30471875 |
transcript.pyannote[545].speaker |
SPEAKER_16 |
transcript.pyannote[545].start |
4512.64221875 |
transcript.pyannote[545].end |
4514.05971875 |
transcript.pyannote[546].speaker |
SPEAKER_16 |
transcript.pyannote[546].start |
4514.61659375 |
transcript.pyannote[546].end |
4515.17346875 |
transcript.pyannote[547].speaker |
SPEAKER_16 |
transcript.pyannote[547].start |
4515.37596875 |
transcript.pyannote[547].end |
4516.81034375 |
transcript.pyannote[548].speaker |
SPEAKER_16 |
transcript.pyannote[548].start |
4517.46846875 |
transcript.pyannote[548].end |
4524.77534375 |
transcript.pyannote[549].speaker |
SPEAKER_16 |
transcript.pyannote[549].start |
4526.32784375 |
transcript.pyannote[549].end |
4528.30221875 |
transcript.pyannote[550].speaker |
SPEAKER_16 |
transcript.pyannote[550].start |
4529.58471875 |
transcript.pyannote[550].end |
4530.10784375 |
transcript.pyannote[551].speaker |
SPEAKER_16 |
transcript.pyannote[551].start |
4530.91784375 |
transcript.pyannote[551].end |
4531.32284375 |
transcript.pyannote[552].speaker |
SPEAKER_16 |
transcript.pyannote[552].start |
4531.77846875 |
transcript.pyannote[552].end |
4532.23409375 |
transcript.pyannote[553].speaker |
SPEAKER_05 |
transcript.pyannote[553].start |
4533.82034375 |
transcript.pyannote[553].end |
4535.23784375 |
transcript.pyannote[554].speaker |
SPEAKER_17 |
transcript.pyannote[554].start |
4536.92534375 |
transcript.pyannote[554].end |
4551.69096875 |
transcript.pyannote[555].speaker |
SPEAKER_16 |
transcript.pyannote[555].start |
4551.35346875 |
transcript.pyannote[555].end |
4555.16721875 |
transcript.pyannote[556].speaker |
SPEAKER_16 |
transcript.pyannote[556].start |
4555.70721875 |
transcript.pyannote[556].end |
4560.85409375 |
transcript.pyannote[557].speaker |
SPEAKER_03 |
transcript.pyannote[557].start |
4561.54596875 |
transcript.pyannote[557].end |
4562.11971875 |
transcript.pyannote[558].speaker |
SPEAKER_16 |
transcript.pyannote[558].start |
4562.08596875 |
transcript.pyannote[558].end |
4562.11971875 |
transcript.pyannote[559].speaker |
SPEAKER_17 |
transcript.pyannote[559].start |
4562.11971875 |
transcript.pyannote[559].end |
4562.55846875 |
transcript.pyannote[560].speaker |
SPEAKER_17 |
transcript.pyannote[560].start |
4563.01409375 |
transcript.pyannote[560].end |
4564.53284375 |
transcript.pyannote[561].speaker |
SPEAKER_17 |
transcript.pyannote[561].start |
4565.08971875 |
transcript.pyannote[561].end |
4565.68034375 |
transcript.pyannote[562].speaker |
SPEAKER_17 |
transcript.pyannote[562].start |
4566.05159375 |
transcript.pyannote[562].end |
4571.97471875 |
transcript.pyannote[563].speaker |
SPEAKER_16 |
transcript.pyannote[563].start |
4571.97471875 |
transcript.pyannote[563].end |
4588.83284375 |
transcript.pyannote[564].speaker |
SPEAKER_17 |
transcript.pyannote[564].start |
4574.80971875 |
transcript.pyannote[564].end |
4574.86034375 |
transcript.pyannote[565].speaker |
SPEAKER_38 |
transcript.pyannote[565].start |
4575.06284375 |
transcript.pyannote[565].end |
4575.14721875 |
transcript.pyannote[566].speaker |
SPEAKER_16 |
transcript.pyannote[566].start |
4589.37284375 |
transcript.pyannote[566].end |
4591.21221875 |
transcript.pyannote[567].speaker |
SPEAKER_16 |
transcript.pyannote[567].start |
4591.54971875 |
transcript.pyannote[567].end |
4592.62971875 |
transcript.pyannote[568].speaker |
SPEAKER_16 |
transcript.pyannote[568].start |
4593.05159375 |
transcript.pyannote[568].end |
4608.07034375 |
transcript.pyannote[569].speaker |
SPEAKER_05 |
transcript.pyannote[569].start |
4606.19721875 |
transcript.pyannote[569].end |
4608.50909375 |
transcript.pyannote[570].speaker |
SPEAKER_14 |
transcript.pyannote[570].start |
4610.87159375 |
transcript.pyannote[570].end |
4612.71096875 |
transcript.pyannote[571].speaker |
SPEAKER_14 |
transcript.pyannote[571].start |
4613.45346875 |
transcript.pyannote[571].end |
4615.39409375 |
transcript.pyannote[572].speaker |
SPEAKER_06 |
transcript.pyannote[572].start |
4624.23659375 |
transcript.pyannote[572].end |
4634.15909375 |
transcript.pyannote[573].speaker |
SPEAKER_06 |
transcript.pyannote[573].start |
4635.67784375 |
transcript.pyannote[573].end |
4642.57971875 |
transcript.pyannote[574].speaker |
SPEAKER_06 |
transcript.pyannote[574].start |
4642.79909375 |
transcript.pyannote[574].end |
4643.87909375 |
transcript.pyannote[575].speaker |
SPEAKER_06 |
transcript.pyannote[575].start |
4644.18284375 |
transcript.pyannote[575].end |
4653.10971875 |
transcript.pyannote[576].speaker |
SPEAKER_06 |
transcript.pyannote[576].start |
4653.59909375 |
transcript.pyannote[576].end |
4686.23534375 |
transcript.pyannote[577].speaker |
SPEAKER_06 |
transcript.pyannote[577].start |
4687.28159375 |
transcript.pyannote[577].end |
4690.43721875 |
transcript.pyannote[578].speaker |
SPEAKER_06 |
transcript.pyannote[578].start |
4690.92659375 |
transcript.pyannote[578].end |
4691.34846875 |
transcript.pyannote[579].speaker |
SPEAKER_06 |
transcript.pyannote[579].start |
4692.20909375 |
transcript.pyannote[579].end |
4697.37284375 |
transcript.pyannote[580].speaker |
SPEAKER_05 |
transcript.pyannote[580].start |
4698.09846875 |
transcript.pyannote[580].end |
4698.82409375 |
transcript.pyannote[581].speaker |
SPEAKER_05 |
transcript.pyannote[581].start |
4699.22909375 |
transcript.pyannote[581].end |
4720.03596875 |
transcript.pyannote[582].speaker |
SPEAKER_05 |
transcript.pyannote[582].start |
4720.08659375 |
transcript.pyannote[582].end |
4724.10284375 |
transcript.pyannote[583].speaker |
SPEAKER_06 |
transcript.pyannote[583].start |
4722.55034375 |
transcript.pyannote[583].end |
4726.49909375 |
transcript.pyannote[584].speaker |
SPEAKER_06 |
transcript.pyannote[584].start |
4727.08971875 |
transcript.pyannote[584].end |
4737.01221875 |
transcript.pyannote[585].speaker |
SPEAKER_05 |
transcript.pyannote[585].start |
4729.30034375 |
transcript.pyannote[585].end |
4729.90784375 |
transcript.pyannote[586].speaker |
SPEAKER_06 |
transcript.pyannote[586].start |
4738.34534375 |
transcript.pyannote[586].end |
4747.13721875 |
transcript.pyannote[587].speaker |
SPEAKER_06 |
transcript.pyannote[587].start |
4747.55909375 |
transcript.pyannote[587].end |
4749.73596875 |
transcript.pyannote[588].speaker |
SPEAKER_06 |
transcript.pyannote[588].start |
4750.42784375 |
transcript.pyannote[588].end |
4772.66909375 |
transcript.pyannote[589].speaker |
SPEAKER_06 |
transcript.pyannote[589].start |
4773.34409375 |
transcript.pyannote[589].end |
4775.47034375 |
transcript.pyannote[590].speaker |
SPEAKER_06 |
transcript.pyannote[590].start |
4775.84159375 |
transcript.pyannote[590].end |
4777.42784375 |
transcript.pyannote[591].speaker |
SPEAKER_06 |
transcript.pyannote[591].start |
4777.93409375 |
transcript.pyannote[591].end |
4779.41909375 |
transcript.pyannote[592].speaker |
SPEAKER_06 |
transcript.pyannote[592].start |
4779.73971875 |
transcript.pyannote[592].end |
4781.34284375 |
transcript.pyannote[593].speaker |
SPEAKER_06 |
transcript.pyannote[593].start |
4781.93346875 |
transcript.pyannote[593].end |
4784.32971875 |
transcript.pyannote[594].speaker |
SPEAKER_06 |
transcript.pyannote[594].start |
4784.48159375 |
transcript.pyannote[594].end |
4787.04659375 |
transcript.pyannote[595].speaker |
SPEAKER_06 |
transcript.pyannote[595].start |
4787.35034375 |
transcript.pyannote[595].end |
4795.29846875 |
transcript.pyannote[596].speaker |
SPEAKER_05 |
transcript.pyannote[596].start |
4795.29846875 |
transcript.pyannote[596].end |
4795.33221875 |
transcript.pyannote[597].speaker |
SPEAKER_05 |
transcript.pyannote[597].start |
4795.63596875 |
transcript.pyannote[597].end |
4813.70909375 |
transcript.pyannote[598].speaker |
SPEAKER_06 |
transcript.pyannote[598].start |
4813.15221875 |
transcript.pyannote[598].end |
4823.91846875 |
transcript.pyannote[599].speaker |
SPEAKER_05 |
transcript.pyannote[599].start |
4814.02971875 |
transcript.pyannote[599].end |
4815.97034375 |
transcript.pyannote[600].speaker |
SPEAKER_06 |
transcript.pyannote[600].start |
4824.45846875 |
transcript.pyannote[600].end |
4831.91721875 |
transcript.pyannote[601].speaker |
SPEAKER_06 |
transcript.pyannote[601].start |
4832.18721875 |
transcript.pyannote[601].end |
4837.28346875 |
transcript.pyannote[602].speaker |
SPEAKER_06 |
transcript.pyannote[602].start |
4837.77284375 |
transcript.pyannote[602].end |
4847.88096875 |
transcript.pyannote[603].speaker |
SPEAKER_06 |
transcript.pyannote[603].start |
4848.15096875 |
transcript.pyannote[603].end |
4850.36159375 |
transcript.pyannote[604].speaker |
SPEAKER_06 |
transcript.pyannote[604].start |
4850.85096875 |
transcript.pyannote[604].end |
4854.46221875 |
transcript.pyannote[605].speaker |
SPEAKER_06 |
transcript.pyannote[605].start |
4855.06971875 |
transcript.pyannote[605].end |
4856.35221875 |
transcript.pyannote[606].speaker |
SPEAKER_06 |
transcript.pyannote[606].start |
4856.82471875 |
transcript.pyannote[606].end |
4869.75096875 |
transcript.pyannote[607].speaker |
SPEAKER_06 |
transcript.pyannote[607].start |
4870.05471875 |
transcript.pyannote[607].end |
4872.23159375 |
transcript.pyannote[608].speaker |
SPEAKER_06 |
transcript.pyannote[608].start |
4872.95721875 |
transcript.pyannote[608].end |
4883.03159375 |
transcript.pyannote[609].speaker |
SPEAKER_06 |
transcript.pyannote[609].start |
4883.18346875 |
transcript.pyannote[609].end |
4883.68971875 |
transcript.pyannote[610].speaker |
SPEAKER_06 |
transcript.pyannote[610].start |
4883.99346875 |
transcript.pyannote[610].end |
4899.24846875 |
transcript.pyannote[611].speaker |
SPEAKER_06 |
transcript.pyannote[611].start |
4900.00784375 |
transcript.pyannote[611].end |
4909.03596875 |
transcript.pyannote[612].speaker |
SPEAKER_05 |
transcript.pyannote[612].start |
4909.03596875 |
transcript.pyannote[612].end |
4917.55784375 |
transcript.pyannote[613].speaker |
SPEAKER_33 |
transcript.pyannote[613].start |
4919.00909375 |
transcript.pyannote[613].end |
4919.31284375 |
transcript.pyannote[614].speaker |
SPEAKER_33 |
transcript.pyannote[614].start |
4919.83596875 |
transcript.pyannote[614].end |
4925.30346875 |
transcript.pyannote[615].speaker |
SPEAKER_33 |
transcript.pyannote[615].start |
4925.32034375 |
transcript.pyannote[615].end |
4952.50596875 |
transcript.pyannote[616].speaker |
SPEAKER_06 |
transcript.pyannote[616].start |
4951.05471875 |
transcript.pyannote[616].end |
4986.82971875 |
transcript.pyannote[617].speaker |
SPEAKER_06 |
transcript.pyannote[617].start |
4987.09971875 |
transcript.pyannote[617].end |
4991.74034375 |
transcript.pyannote[618].speaker |
SPEAKER_06 |
transcript.pyannote[618].start |
4991.92596875 |
transcript.pyannote[618].end |
5013.32346875 |
transcript.pyannote[619].speaker |
SPEAKER_06 |
transcript.pyannote[619].start |
5013.66096875 |
transcript.pyannote[619].end |
5020.29284375 |
transcript.pyannote[620].speaker |
SPEAKER_06 |
transcript.pyannote[620].start |
5020.71471875 |
transcript.pyannote[620].end |
5041.36971875 |
transcript.pyannote[621].speaker |
SPEAKER_06 |
transcript.pyannote[621].start |
5041.75784375 |
transcript.pyannote[621].end |
5042.90534375 |
transcript.pyannote[622].speaker |
SPEAKER_06 |
transcript.pyannote[622].start |
5043.39471875 |
transcript.pyannote[622].end |
5044.12034375 |
transcript.pyannote[623].speaker |
SPEAKER_06 |
transcript.pyannote[623].start |
5044.76159375 |
transcript.pyannote[623].end |
5055.56159375 |
transcript.pyannote[624].speaker |
SPEAKER_06 |
transcript.pyannote[624].start |
5055.67971875 |
transcript.pyannote[624].end |
5068.30221875 |
transcript.pyannote[625].speaker |
SPEAKER_06 |
transcript.pyannote[625].start |
5068.55534375 |
transcript.pyannote[625].end |
5071.17096875 |
transcript.pyannote[626].speaker |
SPEAKER_06 |
transcript.pyannote[626].start |
5071.49159375 |
transcript.pyannote[626].end |
5072.08221875 |
transcript.pyannote[627].speaker |
SPEAKER_06 |
transcript.pyannote[627].start |
5072.38596875 |
transcript.pyannote[627].end |
5075.40659375 |
transcript.pyannote[628].speaker |
SPEAKER_05 |
transcript.pyannote[628].start |
5075.59221875 |
transcript.pyannote[628].end |
5084.73846875 |
transcript.pyannote[629].speaker |
SPEAKER_06 |
transcript.pyannote[629].start |
5084.24909375 |
transcript.pyannote[629].end |
5087.77596875 |
transcript.pyannote[630].speaker |
SPEAKER_05 |
transcript.pyannote[630].start |
5085.71721875 |
transcript.pyannote[630].end |
5089.59846875 |
transcript.pyannote[631].speaker |
SPEAKER_06 |
transcript.pyannote[631].start |
5088.36659375 |
transcript.pyannote[631].end |
5089.27784375 |
transcript.pyannote[632].speaker |
SPEAKER_06 |
transcript.pyannote[632].start |
5089.88534375 |
transcript.pyannote[632].end |
5096.80409375 |
transcript.pyannote[633].speaker |
SPEAKER_05 |
transcript.pyannote[633].start |
5092.93971875 |
transcript.pyannote[633].end |
5093.07471875 |
transcript.pyannote[634].speaker |
SPEAKER_03 |
transcript.pyannote[634].start |
5093.07471875 |
transcript.pyannote[634].end |
5093.10846875 |
transcript.pyannote[635].speaker |
SPEAKER_06 |
transcript.pyannote[635].start |
5097.74909375 |
transcript.pyannote[635].end |
5103.84096875 |
transcript.pyannote[636].speaker |
SPEAKER_06 |
transcript.pyannote[636].start |
5103.90846875 |
transcript.pyannote[636].end |
5104.73534375 |
transcript.pyannote[637].speaker |
SPEAKER_06 |
transcript.pyannote[637].start |
5105.69721875 |
transcript.pyannote[637].end |
5118.94409375 |
transcript.pyannote[638].speaker |
SPEAKER_06 |
transcript.pyannote[638].start |
5118.97784375 |
transcript.pyannote[638].end |
5119.77096875 |
transcript.pyannote[639].speaker |
SPEAKER_06 |
transcript.pyannote[639].start |
5120.27721875 |
transcript.pyannote[639].end |
5123.58471875 |
transcript.pyannote[640].speaker |
SPEAKER_06 |
transcript.pyannote[640].start |
5123.88846875 |
transcript.pyannote[640].end |
5134.72221875 |
transcript.pyannote[641].speaker |
SPEAKER_06 |
transcript.pyannote[641].start |
5135.58284375 |
transcript.pyannote[641].end |
5139.86909375 |
transcript.pyannote[642].speaker |
SPEAKER_06 |
transcript.pyannote[642].start |
5140.25721875 |
transcript.pyannote[642].end |
5141.72534375 |
transcript.pyannote[643].speaker |
SPEAKER_06 |
transcript.pyannote[643].start |
5141.87721875 |
transcript.pyannote[643].end |
5153.79096875 |
transcript.pyannote[644].speaker |
SPEAKER_38 |
transcript.pyannote[644].start |
5142.19784375 |
transcript.pyannote[644].end |
5142.21471875 |
transcript.pyannote[645].speaker |
SPEAKER_05 |
transcript.pyannote[645].start |
5153.08221875 |
transcript.pyannote[645].end |
5171.03721875 |
transcript.pyannote[646].speaker |
SPEAKER_06 |
transcript.pyannote[646].start |
5170.39596875 |
transcript.pyannote[646].end |
5170.41284375 |
transcript.pyannote[647].speaker |
SPEAKER_38 |
transcript.pyannote[647].start |
5170.41284375 |
transcript.pyannote[647].end |
5171.76284375 |
transcript.pyannote[648].speaker |
SPEAKER_06 |
transcript.pyannote[648].start |
5171.03721875 |
transcript.pyannote[648].end |
5171.61096875 |
transcript.pyannote[649].speaker |
SPEAKER_05 |
transcript.pyannote[649].start |
5172.13409375 |
transcript.pyannote[649].end |
5172.15096875 |
transcript.pyannote[650].speaker |
SPEAKER_06 |
transcript.pyannote[650].start |
5172.15096875 |
transcript.pyannote[650].end |
5198.42534375 |
transcript.pyannote[651].speaker |
SPEAKER_05 |
transcript.pyannote[651].start |
5198.49284375 |
transcript.pyannote[651].end |
5211.31784375 |
transcript.pyannote[652].speaker |
SPEAKER_05 |
transcript.pyannote[652].start |
5211.99284375 |
transcript.pyannote[652].end |
5212.97159375 |
transcript.pyannote[653].speaker |
SPEAKER_06 |
transcript.pyannote[653].start |
5212.97159375 |
transcript.pyannote[653].end |
5214.03471875 |
transcript.pyannote[654].speaker |
SPEAKER_06 |
transcript.pyannote[654].start |
5214.47346875 |
transcript.pyannote[654].end |
5219.26596875 |
transcript.pyannote[655].speaker |
SPEAKER_06 |
transcript.pyannote[655].start |
5219.78909375 |
transcript.pyannote[655].end |
5273.18159375 |
transcript.pyannote[656].speaker |
SPEAKER_05 |
transcript.pyannote[656].start |
5272.11846875 |
transcript.pyannote[656].end |
5272.42221875 |
transcript.pyannote[657].speaker |
SPEAKER_05 |
transcript.pyannote[657].start |
5273.40096875 |
transcript.pyannote[657].end |
5275.25721875 |
transcript.pyannote[658].speaker |
SPEAKER_05 |
transcript.pyannote[658].start |
5275.62846875 |
transcript.pyannote[658].end |
5280.87659375 |
transcript.pyannote[659].speaker |
SPEAKER_05 |
transcript.pyannote[659].start |
5281.68659375 |
transcript.pyannote[659].end |
5282.96909375 |
transcript.pyannote[660].speaker |
SPEAKER_06 |
transcript.pyannote[660].start |
5282.96909375 |
transcript.pyannote[660].end |
5283.91409375 |
transcript.pyannote[661].speaker |
SPEAKER_05 |
transcript.pyannote[661].start |
5283.91409375 |
transcript.pyannote[661].end |
5283.96471875 |
transcript.pyannote[662].speaker |
SPEAKER_06 |
transcript.pyannote[662].start |
5283.96471875 |
transcript.pyannote[662].end |
5310.84659375 |
transcript.pyannote[663].speaker |
SPEAKER_06 |
transcript.pyannote[663].start |
5311.99409375 |
transcript.pyannote[663].end |
5316.90471875 |
transcript.pyannote[664].speaker |
SPEAKER_06 |
transcript.pyannote[664].start |
5317.49534375 |
transcript.pyannote[664].end |
5337.52596875 |
transcript.pyannote[665].speaker |
SPEAKER_06 |
transcript.pyannote[665].start |
5337.89721875 |
transcript.pyannote[665].end |
5351.81909375 |
transcript.pyannote[666].speaker |
SPEAKER_06 |
transcript.pyannote[666].start |
5352.59534375 |
transcript.pyannote[666].end |
5353.75971875 |
transcript.pyannote[667].speaker |
SPEAKER_06 |
transcript.pyannote[667].start |
5354.55284375 |
transcript.pyannote[667].end |
5362.92284375 |
transcript.pyannote[668].speaker |
SPEAKER_03 |
transcript.pyannote[668].start |
5362.92284375 |
transcript.pyannote[668].end |
5362.93971875 |
transcript.pyannote[669].speaker |
SPEAKER_14 |
transcript.pyannote[669].start |
5365.45409375 |
transcript.pyannote[669].end |
5366.93909375 |
transcript.pyannote[670].speaker |
SPEAKER_14 |
transcript.pyannote[670].start |
5368.15409375 |
transcript.pyannote[670].end |
5369.38596875 |
transcript.pyannote[671].speaker |
SPEAKER_14 |
transcript.pyannote[671].start |
5369.57159375 |
transcript.pyannote[671].end |
5371.07346875 |
transcript.pyannote[672].speaker |
SPEAKER_32 |
transcript.pyannote[672].start |
5380.37159375 |
transcript.pyannote[672].end |
5385.51846875 |
transcript.pyannote[673].speaker |
SPEAKER_14 |
transcript.pyannote[673].start |
5383.71284375 |
transcript.pyannote[673].end |
5384.21909375 |
transcript.pyannote[674].speaker |
SPEAKER_14 |
transcript.pyannote[674].start |
5385.63659375 |
transcript.pyannote[674].end |
5386.05846875 |
transcript.pyannote[675].speaker |
SPEAKER_05 |
transcript.pyannote[675].start |
5386.05846875 |
transcript.pyannote[675].end |
5386.27784375 |
transcript.pyannote[676].speaker |
SPEAKER_05 |
transcript.pyannote[676].start |
5390.90159375 |
transcript.pyannote[676].end |
5391.40784375 |
transcript.pyannote[677].speaker |
SPEAKER_32 |
transcript.pyannote[677].start |
5392.06596875 |
transcript.pyannote[677].end |
5393.58471875 |
transcript.pyannote[678].speaker |
SPEAKER_32 |
transcript.pyannote[678].start |
5393.97284375 |
transcript.pyannote[678].end |
5399.22096875 |
transcript.pyannote[679].speaker |
SPEAKER_32 |
transcript.pyannote[679].start |
5399.47409375 |
transcript.pyannote[679].end |
5404.24971875 |
transcript.pyannote[680].speaker |
SPEAKER_32 |
transcript.pyannote[680].start |
5404.55346875 |
transcript.pyannote[680].end |
5406.10596875 |
transcript.pyannote[681].speaker |
SPEAKER_40 |
transcript.pyannote[681].start |
5406.10596875 |
transcript.pyannote[681].end |
5406.24096875 |
transcript.pyannote[682].speaker |
SPEAKER_32 |
transcript.pyannote[682].start |
5406.24096875 |
transcript.pyannote[682].end |
5429.03909375 |
transcript.pyannote[683].speaker |
SPEAKER_32 |
transcript.pyannote[683].start |
5429.19096875 |
transcript.pyannote[683].end |
5439.16409375 |
transcript.pyannote[684].speaker |
SPEAKER_32 |
transcript.pyannote[684].start |
5439.67034375 |
transcript.pyannote[684].end |
5450.60534375 |
transcript.pyannote[685].speaker |
SPEAKER_32 |
transcript.pyannote[685].start |
5451.09471875 |
transcript.pyannote[685].end |
5455.19534375 |
transcript.pyannote[686].speaker |
SPEAKER_32 |
transcript.pyannote[686].start |
5455.87034375 |
transcript.pyannote[686].end |
5456.74784375 |
transcript.pyannote[687].speaker |
SPEAKER_32 |
transcript.pyannote[687].start |
5457.22034375 |
transcript.pyannote[687].end |
5475.02346875 |
transcript.pyannote[688].speaker |
SPEAKER_00 |
transcript.pyannote[688].start |
5459.31284375 |
transcript.pyannote[688].end |
5459.49846875 |
transcript.pyannote[689].speaker |
SPEAKER_00 |
transcript.pyannote[689].start |
5459.66721875 |
transcript.pyannote[689].end |
5460.10596875 |
transcript.pyannote[690].speaker |
SPEAKER_32 |
transcript.pyannote[690].start |
5475.09096875 |
transcript.pyannote[690].end |
5492.69159375 |
transcript.pyannote[691].speaker |
SPEAKER_32 |
transcript.pyannote[691].start |
5493.04596875 |
transcript.pyannote[691].end |
5515.89471875 |
transcript.pyannote[692].speaker |
SPEAKER_32 |
transcript.pyannote[692].start |
5517.21096875 |
transcript.pyannote[692].end |
5522.71221875 |
transcript.pyannote[693].speaker |
SPEAKER_32 |
transcript.pyannote[693].start |
5523.10034375 |
transcript.pyannote[693].end |
5531.40284375 |
transcript.pyannote[694].speaker |
SPEAKER_32 |
transcript.pyannote[694].start |
5531.79096875 |
transcript.pyannote[694].end |
5581.65659375 |
transcript.pyannote[695].speaker |
SPEAKER_32 |
transcript.pyannote[695].start |
5581.97721875 |
transcript.pyannote[695].end |
5587.34346875 |
transcript.pyannote[696].speaker |
SPEAKER_32 |
transcript.pyannote[696].start |
5587.61346875 |
transcript.pyannote[696].end |
5600.86034375 |
transcript.pyannote[697].speaker |
SPEAKER_32 |
transcript.pyannote[697].start |
5601.29909375 |
transcript.pyannote[697].end |
5658.08346875 |
transcript.pyannote[698].speaker |
SPEAKER_32 |
transcript.pyannote[698].start |
5658.40409375 |
transcript.pyannote[698].end |
5662.52159375 |
transcript.pyannote[699].speaker |
SPEAKER_32 |
transcript.pyannote[699].start |
5662.62284375 |
transcript.pyannote[699].end |
5665.49159375 |
transcript.pyannote[700].speaker |
SPEAKER_32 |
transcript.pyannote[700].start |
5665.86284375 |
transcript.pyannote[700].end |
5669.57534375 |
transcript.pyannote[701].speaker |
SPEAKER_32 |
transcript.pyannote[701].start |
5670.04784375 |
transcript.pyannote[701].end |
5673.30471875 |
transcript.pyannote[702].speaker |
SPEAKER_32 |
transcript.pyannote[702].start |
5673.59159375 |
transcript.pyannote[702].end |
5676.29159375 |
transcript.pyannote[703].speaker |
SPEAKER_32 |
transcript.pyannote[703].start |
5676.62909375 |
transcript.pyannote[703].end |
5678.16471875 |
transcript.pyannote[704].speaker |
SPEAKER_32 |
transcript.pyannote[704].start |
5679.00846875 |
transcript.pyannote[704].end |
5682.16409375 |
transcript.pyannote[705].speaker |
SPEAKER_32 |
transcript.pyannote[705].start |
5682.45096875 |
transcript.pyannote[705].end |
5696.54159375 |
transcript.pyannote[706].speaker |
SPEAKER_32 |
transcript.pyannote[706].start |
5696.84534375 |
transcript.pyannote[706].end |
5702.19471875 |
transcript.pyannote[707].speaker |
SPEAKER_32 |
transcript.pyannote[707].start |
5702.39721875 |
transcript.pyannote[707].end |
5714.83409375 |
transcript.pyannote[708].speaker |
SPEAKER_32 |
transcript.pyannote[708].start |
5715.18846875 |
transcript.pyannote[708].end |
5718.09096875 |
transcript.pyannote[709].speaker |
SPEAKER_32 |
transcript.pyannote[709].start |
5718.46221875 |
transcript.pyannote[709].end |
5722.96784375 |
transcript.pyannote[710].speaker |
SPEAKER_32 |
transcript.pyannote[710].start |
5724.04784375 |
transcript.pyannote[710].end |
5734.22346875 |
transcript.pyannote[711].speaker |
SPEAKER_32 |
transcript.pyannote[711].start |
5734.66221875 |
transcript.pyannote[711].end |
5736.56909375 |
transcript.pyannote[712].speaker |
SPEAKER_32 |
transcript.pyannote[712].start |
5737.44659375 |
transcript.pyannote[712].end |
5741.47971875 |
transcript.pyannote[713].speaker |
SPEAKER_32 |
transcript.pyannote[713].start |
5741.80034375 |
transcript.pyannote[713].end |
5742.64409375 |
transcript.pyannote[714].speaker |
SPEAKER_05 |
transcript.pyannote[714].start |
5742.77909375 |
transcript.pyannote[714].end |
5742.84659375 |
transcript.pyannote[715].speaker |
SPEAKER_05 |
transcript.pyannote[715].start |
5743.94346875 |
transcript.pyannote[715].end |
5748.24659375 |
transcript.pyannote[716].speaker |
SPEAKER_06 |
transcript.pyannote[716].start |
5748.19596875 |
transcript.pyannote[716].end |
5748.21284375 |
transcript.pyannote[717].speaker |
SPEAKER_04 |
transcript.pyannote[717].start |
5748.24659375 |
transcript.pyannote[717].end |
5748.48284375 |
transcript.pyannote[718].speaker |
SPEAKER_05 |
transcript.pyannote[718].start |
5748.48284375 |
transcript.pyannote[718].end |
5763.11346875 |
transcript.pyannote[719].speaker |
SPEAKER_04 |
transcript.pyannote[719].start |
5748.49971875 |
transcript.pyannote[719].end |
5748.53346875 |
transcript.pyannote[720].speaker |
SPEAKER_05 |
transcript.pyannote[720].start |
5763.36659375 |
transcript.pyannote[720].end |
5770.80846875 |
transcript.pyannote[721].speaker |
SPEAKER_32 |
transcript.pyannote[721].start |
5769.47534375 |
transcript.pyannote[721].end |
5771.98971875 |
transcript.pyannote[722].speaker |
SPEAKER_32 |
transcript.pyannote[722].start |
5772.66471875 |
transcript.pyannote[722].end |
5773.30596875 |
transcript.pyannote[723].speaker |
SPEAKER_32 |
transcript.pyannote[723].start |
5773.57596875 |
transcript.pyannote[723].end |
5776.49534375 |
transcript.pyannote[724].speaker |
SPEAKER_32 |
transcript.pyannote[724].start |
5776.90034375 |
transcript.pyannote[724].end |
5781.91221875 |
transcript.pyannote[725].speaker |
SPEAKER_05 |
transcript.pyannote[725].start |
5781.42284375 |
transcript.pyannote[725].end |
5785.54034375 |
transcript.pyannote[726].speaker |
SPEAKER_32 |
transcript.pyannote[726].start |
5784.69659375 |
transcript.pyannote[726].end |
5795.47971875 |
transcript.pyannote[727].speaker |
SPEAKER_05 |
transcript.pyannote[727].start |
5795.47971875 |
transcript.pyannote[727].end |
5810.17784375 |
transcript.pyannote[728].speaker |
SPEAKER_05 |
transcript.pyannote[728].start |
5810.63346875 |
transcript.pyannote[728].end |
5836.21596875 |
transcript.pyannote[729].speaker |
SPEAKER_00 |
transcript.pyannote[729].start |
5815.03784375 |
transcript.pyannote[729].end |
5815.52721875 |
transcript.pyannote[730].speaker |
SPEAKER_00 |
transcript.pyannote[730].start |
5816.47221875 |
transcript.pyannote[730].end |
5817.07971875 |
transcript.pyannote[731].speaker |
SPEAKER_38 |
transcript.pyannote[731].start |
5823.69471875 |
transcript.pyannote[731].end |
5824.11659375 |
transcript.pyannote[732].speaker |
SPEAKER_05 |
transcript.pyannote[732].start |
5836.68846875 |
transcript.pyannote[732].end |
5841.26159375 |
transcript.pyannote[733].speaker |
SPEAKER_00 |
transcript.pyannote[733].start |
5839.38846875 |
transcript.pyannote[733].end |
5839.86096875 |
transcript.pyannote[734].speaker |
SPEAKER_05 |
transcript.pyannote[734].start |
5841.46409375 |
transcript.pyannote[734].end |
5852.29784375 |
transcript.pyannote[735].speaker |
SPEAKER_32 |
transcript.pyannote[735].start |
5851.45409375 |
transcript.pyannote[735].end |
5880.32721875 |
transcript.pyannote[736].speaker |
SPEAKER_38 |
transcript.pyannote[736].start |
5864.43096875 |
transcript.pyannote[736].end |
5864.97096875 |
transcript.pyannote[737].speaker |
SPEAKER_00 |
transcript.pyannote[737].start |
5864.97096875 |
transcript.pyannote[737].end |
5865.24096875 |
transcript.pyannote[738].speaker |
SPEAKER_32 |
transcript.pyannote[738].start |
5880.36096875 |
transcript.pyannote[738].end |
5882.97659375 |
transcript.pyannote[739].speaker |
SPEAKER_32 |
transcript.pyannote[739].start |
5883.21284375 |
transcript.pyannote[739].end |
5886.60471875 |
transcript.pyannote[740].speaker |
SPEAKER_05 |
transcript.pyannote[740].start |
5885.96346875 |
transcript.pyannote[740].end |
5908.25534375 |
transcript.pyannote[741].speaker |
SPEAKER_32 |
transcript.pyannote[741].start |
5905.65659375 |
transcript.pyannote[741].end |
5906.58471875 |
transcript.pyannote[742].speaker |
SPEAKER_32 |
transcript.pyannote[742].start |
5908.28909375 |
transcript.pyannote[742].end |
5974.82721875 |
transcript.pyannote[743].speaker |
SPEAKER_00 |
transcript.pyannote[743].start |
5917.97534375 |
transcript.pyannote[743].end |
5918.34659375 |
transcript.pyannote[744].speaker |
SPEAKER_00 |
transcript.pyannote[744].start |
5955.35346875 |
transcript.pyannote[744].end |
5955.69096875 |
transcript.pyannote[745].speaker |
SPEAKER_32 |
transcript.pyannote[745].start |
5975.21534375 |
transcript.pyannote[745].end |
5982.45471875 |
transcript.pyannote[746].speaker |
SPEAKER_32 |
transcript.pyannote[746].start |
5982.92721875 |
transcript.pyannote[746].end |
5992.27596875 |
transcript.pyannote[747].speaker |
SPEAKER_32 |
transcript.pyannote[747].start |
5992.76534375 |
transcript.pyannote[747].end |
6000.46034375 |
transcript.pyannote[748].speaker |
SPEAKER_32 |
transcript.pyannote[748].start |
6000.62909375 |
transcript.pyannote[748].end |
6004.96596875 |
transcript.pyannote[749].speaker |
SPEAKER_05 |
transcript.pyannote[749].start |
6004.84784375 |
transcript.pyannote[749].end |
6004.93221875 |
transcript.pyannote[750].speaker |
SPEAKER_05 |
transcript.pyannote[750].start |
6004.96596875 |
transcript.pyannote[750].end |
6045.48284375 |
transcript.pyannote[751].speaker |
SPEAKER_32 |
transcript.pyannote[751].start |
6005.05034375 |
transcript.pyannote[751].end |
6005.16846875 |
transcript.pyannote[752].speaker |
SPEAKER_32 |
transcript.pyannote[752].start |
6045.48284375 |
transcript.pyannote[752].end |
6061.05846875 |
transcript.pyannote[753].speaker |
SPEAKER_05 |
transcript.pyannote[753].start |
6060.23159375 |
transcript.pyannote[753].end |
6060.87284375 |
transcript.pyannote[754].speaker |
SPEAKER_05 |
transcript.pyannote[754].start |
6061.44659375 |
transcript.pyannote[754].end |
6079.43534375 |
transcript.pyannote[755].speaker |
SPEAKER_05 |
transcript.pyannote[755].start |
6079.72221875 |
transcript.pyannote[755].end |
6081.59534375 |
transcript.pyannote[756].speaker |
SPEAKER_05 |
transcript.pyannote[756].start |
6081.84846875 |
transcript.pyannote[756].end |
6108.24096875 |
transcript.pyannote[757].speaker |
SPEAKER_11 |
transcript.pyannote[757].start |
6082.06784375 |
transcript.pyannote[757].end |
6082.33784375 |
transcript.pyannote[758].speaker |
SPEAKER_00 |
transcript.pyannote[758].start |
6093.54284375 |
transcript.pyannote[758].end |
6094.13346875 |
transcript.pyannote[759].speaker |
SPEAKER_32 |
transcript.pyannote[759].start |
6108.47721875 |
transcript.pyannote[759].end |
6114.97409375 |
transcript.pyannote[760].speaker |
SPEAKER_32 |
transcript.pyannote[760].start |
6115.37909375 |
transcript.pyannote[760].end |
6134.73471875 |
transcript.pyannote[761].speaker |
SPEAKER_38 |
transcript.pyannote[761].start |
6125.53784375 |
transcript.pyannote[761].end |
6126.31409375 |
transcript.pyannote[762].speaker |
SPEAKER_05 |
transcript.pyannote[762].start |
6132.43971875 |
transcript.pyannote[762].end |
6132.59159375 |
transcript.pyannote[763].speaker |
SPEAKER_05 |
transcript.pyannote[763].start |
6132.76034375 |
transcript.pyannote[763].end |
6132.81096875 |
transcript.pyannote[764].speaker |
SPEAKER_32 |
transcript.pyannote[764].start |
6134.85284375 |
transcript.pyannote[764].end |
6134.97096875 |
transcript.pyannote[765].speaker |
SPEAKER_05 |
transcript.pyannote[765].start |
6134.97096875 |
transcript.pyannote[765].end |
6135.08909375 |
transcript.pyannote[766].speaker |
SPEAKER_32 |
transcript.pyannote[766].start |
6135.08909375 |
transcript.pyannote[766].end |
6136.21971875 |
transcript.pyannote[767].speaker |
SPEAKER_05 |
transcript.pyannote[767].start |
6135.59534375 |
transcript.pyannote[767].end |
6136.03409375 |
transcript.pyannote[768].speaker |
SPEAKER_14 |
transcript.pyannote[768].start |
6136.03409375 |
transcript.pyannote[768].end |
6136.06784375 |
transcript.pyannote[769].speaker |
SPEAKER_05 |
transcript.pyannote[769].start |
6136.21971875 |
transcript.pyannote[769].end |
6136.72596875 |
transcript.pyannote[770].speaker |
SPEAKER_32 |
transcript.pyannote[770].start |
6136.72596875 |
transcript.pyannote[770].end |
6137.01284375 |
transcript.pyannote[771].speaker |
SPEAKER_14 |
transcript.pyannote[771].start |
6139.56096875 |
transcript.pyannote[771].end |
6141.23159375 |
transcript.pyannote[772].speaker |
SPEAKER_14 |
transcript.pyannote[772].start |
6141.60284375 |
transcript.pyannote[772].end |
6143.17221875 |
transcript.pyannote[773].speaker |
SPEAKER_14 |
transcript.pyannote[773].start |
6147.03659375 |
transcript.pyannote[773].end |
6148.82534375 |
transcript.pyannote[774].speaker |
SPEAKER_14 |
transcript.pyannote[774].start |
6148.97721875 |
transcript.pyannote[774].end |
6148.99409375 |
transcript.pyannote[775].speaker |
SPEAKER_14 |
transcript.pyannote[775].start |
6149.39909375 |
transcript.pyannote[775].end |
6149.77034375 |
transcript.pyannote[776].speaker |
SPEAKER_14 |
transcript.pyannote[776].start |
6150.74909375 |
transcript.pyannote[776].end |
6151.22159375 |
transcript.pyannote[777].speaker |
SPEAKER_14 |
transcript.pyannote[777].start |
6152.65596875 |
transcript.pyannote[777].end |
6155.22096875 |
transcript.pyannote[778].speaker |
SPEAKER_19 |
transcript.pyannote[778].start |
6163.21971875 |
transcript.pyannote[778].end |
6166.99971875 |
transcript.pyannote[779].speaker |
SPEAKER_03 |
transcript.pyannote[779].start |
6172.21409375 |
transcript.pyannote[779].end |
6172.68659375 |
transcript.pyannote[780].speaker |
SPEAKER_19 |
transcript.pyannote[780].start |
6172.87221875 |
transcript.pyannote[780].end |
6173.61471875 |
transcript.pyannote[781].speaker |
SPEAKER_19 |
transcript.pyannote[781].start |
6173.95221875 |
transcript.pyannote[781].end |
6184.16159375 |
transcript.pyannote[782].speaker |
SPEAKER_38 |
transcript.pyannote[782].start |
6184.21221875 |
transcript.pyannote[782].end |
6184.46534375 |
transcript.pyannote[783].speaker |
SPEAKER_19 |
transcript.pyannote[783].start |
6184.76909375 |
transcript.pyannote[783].end |
6191.70471875 |
transcript.pyannote[784].speaker |
SPEAKER_19 |
transcript.pyannote[784].start |
6193.12221875 |
transcript.pyannote[784].end |
6195.43409375 |
transcript.pyannote[785].speaker |
SPEAKER_19 |
transcript.pyannote[785].start |
6195.87284375 |
transcript.pyannote[785].end |
6197.89784375 |
transcript.pyannote[786].speaker |
SPEAKER_19 |
transcript.pyannote[786].start |
6198.57284375 |
transcript.pyannote[786].end |
6201.22221875 |
transcript.pyannote[787].speaker |
SPEAKER_19 |
transcript.pyannote[787].start |
6201.88034375 |
transcript.pyannote[787].end |
6202.84221875 |
transcript.pyannote[788].speaker |
SPEAKER_19 |
transcript.pyannote[788].start |
6203.83784375 |
transcript.pyannote[788].end |
6205.12034375 |
transcript.pyannote[789].speaker |
SPEAKER_37 |
transcript.pyannote[789].start |
6205.71096875 |
transcript.pyannote[789].end |
6205.76159375 |
transcript.pyannote[790].speaker |
SPEAKER_19 |
transcript.pyannote[790].start |
6205.76159375 |
transcript.pyannote[790].end |
6208.95096875 |
transcript.pyannote[791].speaker |
SPEAKER_37 |
transcript.pyannote[791].start |
6205.81221875 |
transcript.pyannote[791].end |
6205.89659375 |
transcript.pyannote[792].speaker |
SPEAKER_05 |
transcript.pyannote[792].start |
6209.96346875 |
transcript.pyannote[792].end |
6232.03596875 |
transcript.pyannote[793].speaker |
SPEAKER_04 |
transcript.pyannote[793].start |
6213.28784375 |
transcript.pyannote[793].end |
6213.30471875 |
transcript.pyannote[794].speaker |
SPEAKER_19 |
transcript.pyannote[794].start |
6213.30471875 |
transcript.pyannote[794].end |
6213.65909375 |
transcript.pyannote[795].speaker |
SPEAKER_04 |
transcript.pyannote[795].start |
6213.65909375 |
transcript.pyannote[795].end |
6213.70971875 |
transcript.pyannote[796].speaker |
SPEAKER_19 |
transcript.pyannote[796].start |
6222.29909375 |
transcript.pyannote[796].end |
6223.68284375 |
transcript.pyannote[797].speaker |
SPEAKER_05 |
transcript.pyannote[797].start |
6232.39034375 |
transcript.pyannote[797].end |
6240.87846875 |
transcript.pyannote[798].speaker |
SPEAKER_19 |
transcript.pyannote[798].start |
6240.50721875 |
transcript.pyannote[798].end |
6242.65034375 |
transcript.pyannote[799].speaker |
SPEAKER_05 |
transcript.pyannote[799].start |
6243.25784375 |
transcript.pyannote[799].end |
6243.27471875 |
transcript.pyannote[800].speaker |
SPEAKER_19 |
transcript.pyannote[800].start |
6243.27471875 |
transcript.pyannote[800].end |
6243.37596875 |
transcript.pyannote[801].speaker |
SPEAKER_19 |
transcript.pyannote[801].start |
6244.01721875 |
transcript.pyannote[801].end |
6247.74659375 |
transcript.pyannote[802].speaker |
SPEAKER_05 |
transcript.pyannote[802].start |
6247.61159375 |
transcript.pyannote[802].end |
6249.07971875 |
transcript.pyannote[803].speaker |
SPEAKER_19 |
transcript.pyannote[803].start |
6248.45534375 |
transcript.pyannote[803].end |
6251.93159375 |
transcript.pyannote[804].speaker |
SPEAKER_05 |
transcript.pyannote[804].start |
6251.83034375 |
transcript.pyannote[804].end |
6258.69846875 |
transcript.pyannote[805].speaker |
SPEAKER_19 |
transcript.pyannote[805].start |
6252.20159375 |
transcript.pyannote[805].end |
6252.70784375 |
transcript.pyannote[806].speaker |
SPEAKER_19 |
transcript.pyannote[806].start |
6253.09596875 |
transcript.pyannote[806].end |
6254.15909375 |
transcript.pyannote[807].speaker |
SPEAKER_19 |
transcript.pyannote[807].start |
6256.79159375 |
transcript.pyannote[807].end |
6258.07409375 |
transcript.pyannote[808].speaker |
SPEAKER_05 |
transcript.pyannote[808].start |
6258.81659375 |
transcript.pyannote[808].end |
6260.20034375 |
transcript.pyannote[809].speaker |
SPEAKER_19 |
transcript.pyannote[809].start |
6259.60971875 |
transcript.pyannote[809].end |
6264.09846875 |
transcript.pyannote[810].speaker |
SPEAKER_19 |
transcript.pyannote[810].start |
6264.21659375 |
transcript.pyannote[810].end |
6266.66346875 |
transcript.pyannote[811].speaker |
SPEAKER_19 |
transcript.pyannote[811].start |
6266.86596875 |
transcript.pyannote[811].end |
6267.69284375 |
transcript.pyannote[812].speaker |
SPEAKER_05 |
transcript.pyannote[812].start |
6267.86159375 |
transcript.pyannote[812].end |
6278.96534375 |
transcript.pyannote[813].speaker |
SPEAKER_19 |
transcript.pyannote[813].start |
6278.96534375 |
transcript.pyannote[813].end |
6279.30284375 |
transcript.pyannote[814].speaker |
SPEAKER_05 |
transcript.pyannote[814].start |
6280.02846875 |
transcript.pyannote[814].end |
6283.15034375 |
transcript.pyannote[815].speaker |
SPEAKER_19 |
transcript.pyannote[815].start |
6282.52596875 |
transcript.pyannote[815].end |
6283.67346875 |
transcript.pyannote[816].speaker |
SPEAKER_05 |
transcript.pyannote[816].start |
6283.16721875 |
transcript.pyannote[816].end |
6283.82534375 |
transcript.pyannote[817].speaker |
SPEAKER_19 |
transcript.pyannote[817].start |
6283.82534375 |
transcript.pyannote[817].end |
6284.04471875 |
transcript.pyannote[818].speaker |
SPEAKER_19 |
transcript.pyannote[818].start |
6284.07846875 |
transcript.pyannote[818].end |
6284.11221875 |
transcript.pyannote[819].speaker |
SPEAKER_19 |
transcript.pyannote[819].start |
6284.24721875 |
transcript.pyannote[819].end |
6288.06096875 |
transcript.pyannote[820].speaker |
SPEAKER_12 |
transcript.pyannote[820].start |
6288.51659375 |
transcript.pyannote[820].end |
6292.97159375 |
transcript.pyannote[821].speaker |
SPEAKER_19 |
transcript.pyannote[821].start |
6292.88721875 |
transcript.pyannote[821].end |
6296.04284375 |
transcript.pyannote[822].speaker |
SPEAKER_12 |
transcript.pyannote[822].start |
6295.55346875 |
transcript.pyannote[822].end |
6295.72221875 |
transcript.pyannote[823].speaker |
SPEAKER_12 |
transcript.pyannote[823].start |
6295.73909375 |
transcript.pyannote[823].end |
6295.82346875 |
transcript.pyannote[824].speaker |
SPEAKER_12 |
transcript.pyannote[824].start |
6295.84034375 |
transcript.pyannote[824].end |
6295.92471875 |
transcript.pyannote[825].speaker |
SPEAKER_12 |
transcript.pyannote[825].start |
6296.04284375 |
transcript.pyannote[825].end |
6303.29909375 |
transcript.pyannote[826].speaker |
SPEAKER_19 |
transcript.pyannote[826].start |
6303.80534375 |
transcript.pyannote[826].end |
6305.05409375 |
transcript.pyannote[827].speaker |
SPEAKER_19 |
transcript.pyannote[827].start |
6305.29034375 |
transcript.pyannote[827].end |
6307.51784375 |
transcript.pyannote[828].speaker |
SPEAKER_19 |
transcript.pyannote[828].start |
6308.26034375 |
transcript.pyannote[828].end |
6314.53784375 |
transcript.pyannote[829].speaker |
SPEAKER_05 |
transcript.pyannote[829].start |
6311.01096875 |
transcript.pyannote[829].end |
6311.46659375 |
transcript.pyannote[830].speaker |
SPEAKER_05 |
transcript.pyannote[830].start |
6313.55909375 |
transcript.pyannote[830].end |
6316.66409375 |
transcript.pyannote[831].speaker |
SPEAKER_19 |
transcript.pyannote[831].start |
6316.29284375 |
transcript.pyannote[831].end |
6316.91721875 |
transcript.pyannote[832].speaker |
SPEAKER_19 |
transcript.pyannote[832].start |
6317.69346875 |
transcript.pyannote[832].end |
6324.32534375 |
transcript.pyannote[833].speaker |
SPEAKER_19 |
transcript.pyannote[833].start |
6324.81471875 |
transcript.pyannote[833].end |
6325.97909375 |
transcript.pyannote[834].speaker |
SPEAKER_38 |
transcript.pyannote[834].start |
6325.97909375 |
transcript.pyannote[834].end |
6326.85659375 |
transcript.pyannote[835].speaker |
SPEAKER_19 |
transcript.pyannote[835].start |
6326.50221875 |
transcript.pyannote[835].end |
6329.01659375 |
transcript.pyannote[836].speaker |
SPEAKER_19 |
transcript.pyannote[836].start |
6329.15159375 |
transcript.pyannote[836].end |
6333.84284375 |
transcript.pyannote[837].speaker |
SPEAKER_19 |
transcript.pyannote[837].start |
6334.24784375 |
transcript.pyannote[837].end |
6335.66534375 |
transcript.pyannote[838].speaker |
SPEAKER_19 |
transcript.pyannote[838].start |
6336.07034375 |
transcript.pyannote[838].end |
6340.30596875 |
transcript.pyannote[839].speaker |
SPEAKER_05 |
transcript.pyannote[839].start |
6340.96409375 |
transcript.pyannote[839].end |
6345.55409375 |
transcript.pyannote[840].speaker |
SPEAKER_19 |
transcript.pyannote[840].start |
6344.82846875 |
transcript.pyannote[840].end |
6348.23721875 |
transcript.pyannote[841].speaker |
SPEAKER_05 |
transcript.pyannote[841].start |
6346.07721875 |
transcript.pyannote[841].end |
6346.54971875 |
transcript.pyannote[842].speaker |
SPEAKER_05 |
transcript.pyannote[842].start |
6348.23721875 |
transcript.pyannote[842].end |
6348.79409375 |
transcript.pyannote[843].speaker |
SPEAKER_19 |
transcript.pyannote[843].start |
6348.96284375 |
transcript.pyannote[843].end |
6356.82659375 |
transcript.pyannote[844].speaker |
SPEAKER_05 |
transcript.pyannote[844].start |
6354.19409375 |
transcript.pyannote[844].end |
6362.04096875 |
transcript.pyannote[845].speaker |
SPEAKER_05 |
transcript.pyannote[845].start |
6362.09159375 |
transcript.pyannote[845].end |
6367.98096875 |
transcript.pyannote[846].speaker |
SPEAKER_19 |
transcript.pyannote[846].start |
6367.94721875 |
transcript.pyannote[846].end |
6369.70221875 |
transcript.pyannote[847].speaker |
SPEAKER_19 |
transcript.pyannote[847].start |
6370.30971875 |
transcript.pyannote[847].end |
6373.17846875 |
transcript.pyannote[848].speaker |
SPEAKER_05 |
transcript.pyannote[848].start |
6372.19971875 |
transcript.pyannote[848].end |
6373.73534375 |
transcript.pyannote[849].speaker |
SPEAKER_05 |
transcript.pyannote[849].start |
6374.34284375 |
transcript.pyannote[849].end |
6382.61159375 |
transcript.pyannote[850].speaker |
SPEAKER_19 |
transcript.pyannote[850].start |
6382.61159375 |
transcript.pyannote[850].end |
6382.71284375 |
transcript.pyannote[851].speaker |
SPEAKER_05 |
transcript.pyannote[851].start |
6382.71284375 |
transcript.pyannote[851].end |
6387.79221875 |
transcript.pyannote[852].speaker |
SPEAKER_19 |
transcript.pyannote[852].start |
6382.74659375 |
transcript.pyannote[852].end |
6384.09659375 |
transcript.pyannote[853].speaker |
SPEAKER_19 |
transcript.pyannote[853].start |
6388.07909375 |
transcript.pyannote[853].end |
6392.31471875 |
transcript.pyannote[854].speaker |
SPEAKER_05 |
transcript.pyannote[854].start |
6391.42034375 |
transcript.pyannote[854].end |
6394.12034375 |
transcript.pyannote[855].speaker |
SPEAKER_19 |
transcript.pyannote[855].start |
6392.83784375 |
transcript.pyannote[855].end |
6394.22159375 |
transcript.pyannote[856].speaker |
SPEAKER_19 |
transcript.pyannote[856].start |
6395.21721875 |
transcript.pyannote[856].end |
6400.39784375 |
transcript.pyannote[857].speaker |
SPEAKER_05 |
transcript.pyannote[857].start |
6396.07784375 |
transcript.pyannote[857].end |
6396.61784375 |
transcript.pyannote[858].speaker |
SPEAKER_05 |
transcript.pyannote[858].start |
6400.27971875 |
transcript.pyannote[858].end |
6400.36409375 |
transcript.pyannote[859].speaker |
SPEAKER_05 |
transcript.pyannote[859].start |
6400.39784375 |
transcript.pyannote[859].end |
6401.22471875 |
transcript.pyannote[860].speaker |
SPEAKER_19 |
transcript.pyannote[860].start |
6401.22471875 |
transcript.pyannote[860].end |
6404.95409375 |
transcript.pyannote[861].speaker |
SPEAKER_05 |
transcript.pyannote[861].start |
6401.24159375 |
transcript.pyannote[861].end |
6401.89971875 |
transcript.pyannote[862].speaker |
SPEAKER_05 |
transcript.pyannote[862].start |
6404.21159375 |
transcript.pyannote[862].end |
6405.12284375 |
transcript.pyannote[863].speaker |
SPEAKER_19 |
transcript.pyannote[863].start |
6405.12284375 |
transcript.pyannote[863].end |
6407.60346875 |
transcript.pyannote[864].speaker |
SPEAKER_05 |
transcript.pyannote[864].start |
6405.37596875 |
transcript.pyannote[864].end |
6405.59534375 |
transcript.pyannote[865].speaker |
SPEAKER_05 |
transcript.pyannote[865].start |
6406.05096875 |
transcript.pyannote[865].end |
6407.21534375 |
transcript.pyannote[866].speaker |
SPEAKER_05 |
transcript.pyannote[866].start |
6407.65409375 |
transcript.pyannote[866].end |
6413.10471875 |
transcript.pyannote[867].speaker |
SPEAKER_19 |
transcript.pyannote[867].start |
6411.24846875 |
transcript.pyannote[867].end |
6412.09221875 |
transcript.pyannote[868].speaker |
SPEAKER_19 |
transcript.pyannote[868].start |
6413.10471875 |
transcript.pyannote[868].end |
6415.50096875 |
transcript.pyannote[869].speaker |
SPEAKER_19 |
transcript.pyannote[869].start |
6415.60221875 |
transcript.pyannote[869].end |
6424.00596875 |
transcript.pyannote[870].speaker |
SPEAKER_05 |
transcript.pyannote[870].start |
6424.52909375 |
transcript.pyannote[870].end |
6426.35159375 |
transcript.pyannote[871].speaker |
SPEAKER_19 |
transcript.pyannote[871].start |
6426.35159375 |
transcript.pyannote[871].end |
6428.12346875 |
transcript.pyannote[872].speaker |
SPEAKER_05 |
transcript.pyannote[872].start |
6426.89159375 |
transcript.pyannote[872].end |
6427.24596875 |
transcript.pyannote[873].speaker |
SPEAKER_19 |
transcript.pyannote[873].start |
6429.52409375 |
transcript.pyannote[873].end |
6430.94159375 |
transcript.pyannote[874].speaker |
SPEAKER_04 |
transcript.pyannote[874].start |
6429.99659375 |
transcript.pyannote[874].end |
6430.58721875 |
transcript.pyannote[875].speaker |
SPEAKER_04 |
transcript.pyannote[875].start |
6432.25784375 |
transcript.pyannote[875].end |
6434.78909375 |
transcript.pyannote[876].speaker |
SPEAKER_19 |
transcript.pyannote[876].start |
6433.48971875 |
transcript.pyannote[876].end |
6434.41784375 |
transcript.pyannote[877].speaker |
SPEAKER_05 |
transcript.pyannote[877].start |
6434.41784375 |
transcript.pyannote[877].end |
6434.56971875 |
transcript.pyannote[878].speaker |
SPEAKER_19 |
transcript.pyannote[878].start |
6434.78909375 |
transcript.pyannote[878].end |
6437.92784375 |
transcript.pyannote[879].speaker |
SPEAKER_19 |
transcript.pyannote[879].start |
6439.00784375 |
transcript.pyannote[879].end |
6440.20596875 |
transcript.pyannote[880].speaker |
SPEAKER_19 |
transcript.pyannote[880].start |
6440.22284375 |
transcript.pyannote[880].end |
6452.01846875 |
transcript.pyannote[881].speaker |
SPEAKER_43 |
transcript.pyannote[881].start |
6449.52096875 |
transcript.pyannote[881].end |
6449.97659375 |
transcript.pyannote[882].speaker |
SPEAKER_05 |
transcript.pyannote[882].start |
6449.97659375 |
transcript.pyannote[882].end |
6449.99346875 |
transcript.pyannote[883].speaker |
SPEAKER_19 |
transcript.pyannote[883].start |
6452.54159375 |
transcript.pyannote[883].end |
6457.23284375 |
transcript.pyannote[884].speaker |
SPEAKER_19 |
transcript.pyannote[884].start |
6457.53659375 |
transcript.pyannote[884].end |
6457.84034375 |
transcript.pyannote[885].speaker |
SPEAKER_19 |
transcript.pyannote[885].start |
6458.12721875 |
transcript.pyannote[885].end |
6459.05534375 |
transcript.pyannote[886].speaker |
SPEAKER_19 |
transcript.pyannote[886].start |
6459.76409375 |
transcript.pyannote[886].end |
6461.77221875 |
transcript.pyannote[887].speaker |
SPEAKER_05 |
transcript.pyannote[887].start |
6462.14346875 |
transcript.pyannote[887].end |
6470.42909375 |
transcript.pyannote[888].speaker |
SPEAKER_19 |
transcript.pyannote[888].start |
6471.05346875 |
transcript.pyannote[888].end |
6471.07034375 |
transcript.pyannote[889].speaker |
SPEAKER_05 |
transcript.pyannote[889].start |
6471.07034375 |
transcript.pyannote[889].end |
6471.96471875 |
transcript.pyannote[890].speaker |
SPEAKER_19 |
transcript.pyannote[890].start |
6471.96471875 |
transcript.pyannote[890].end |
6476.30159375 |
transcript.pyannote[891].speaker |
SPEAKER_05 |
transcript.pyannote[891].start |
6476.31846875 |
transcript.pyannote[891].end |
6477.53346875 |
transcript.pyannote[892].speaker |
SPEAKER_19 |
transcript.pyannote[892].start |
6477.53346875 |
transcript.pyannote[892].end |
6483.13596875 |
transcript.pyannote[893].speaker |
SPEAKER_05 |
transcript.pyannote[893].start |
6477.56721875 |
transcript.pyannote[893].end |
6478.17471875 |
transcript.pyannote[894].speaker |
SPEAKER_19 |
transcript.pyannote[894].start |
6483.47346875 |
transcript.pyannote[894].end |
6492.06284375 |
transcript.pyannote[895].speaker |
SPEAKER_37 |
transcript.pyannote[895].start |
6483.54096875 |
transcript.pyannote[895].end |
6484.26659375 |
transcript.pyannote[896].speaker |
SPEAKER_05 |
transcript.pyannote[896].start |
6484.26659375 |
transcript.pyannote[896].end |
6484.33409375 |
transcript.pyannote[897].speaker |
SPEAKER_29 |
transcript.pyannote[897].start |
6484.33409375 |
transcript.pyannote[897].end |
6484.35096875 |
transcript.pyannote[898].speaker |
SPEAKER_19 |
transcript.pyannote[898].start |
6493.42971875 |
transcript.pyannote[898].end |
6499.77471875 |
transcript.pyannote[899].speaker |
SPEAKER_19 |
transcript.pyannote[899].start |
6500.73659375 |
transcript.pyannote[899].end |
6501.63096875 |
transcript.pyannote[900].speaker |
SPEAKER_19 |
transcript.pyannote[900].start |
6502.17096875 |
transcript.pyannote[900].end |
6503.21721875 |
transcript.pyannote[901].speaker |
SPEAKER_19 |
transcript.pyannote[901].start |
6503.31846875 |
transcript.pyannote[901].end |
6504.16221875 |
transcript.pyannote[902].speaker |
SPEAKER_19 |
transcript.pyannote[902].start |
6504.83721875 |
transcript.pyannote[902].end |
6506.30534375 |
transcript.pyannote[903].speaker |
SPEAKER_19 |
transcript.pyannote[903].start |
6507.18284375 |
transcript.pyannote[903].end |
6508.41471875 |
transcript.pyannote[904].speaker |
SPEAKER_05 |
transcript.pyannote[904].start |
6508.61721875 |
transcript.pyannote[904].end |
6511.72221875 |
transcript.pyannote[905].speaker |
SPEAKER_19 |
transcript.pyannote[905].start |
6511.28346875 |
transcript.pyannote[905].end |
6513.27471875 |
transcript.pyannote[906].speaker |
SPEAKER_19 |
transcript.pyannote[906].start |
6513.78096875 |
transcript.pyannote[906].end |
6515.83971875 |
transcript.pyannote[907].speaker |
SPEAKER_19 |
transcript.pyannote[907].start |
6516.39659375 |
transcript.pyannote[907].end |
6516.90284375 |
transcript.pyannote[908].speaker |
SPEAKER_19 |
transcript.pyannote[908].start |
6518.06721875 |
transcript.pyannote[908].end |
6519.75471875 |
transcript.pyannote[909].speaker |
SPEAKER_19 |
transcript.pyannote[909].start |
6521.08784375 |
transcript.pyannote[909].end |
6521.64471875 |
transcript.pyannote[910].speaker |
SPEAKER_05 |
transcript.pyannote[910].start |
6523.29846875 |
transcript.pyannote[910].end |
6524.14221875 |
transcript.pyannote[911].speaker |
SPEAKER_05 |
transcript.pyannote[911].start |
6524.73284375 |
transcript.pyannote[911].end |
6525.57659375 |
transcript.pyannote[912].speaker |
SPEAKER_19 |
transcript.pyannote[912].start |
6525.08721875 |
transcript.pyannote[912].end |
6527.33159375 |
transcript.pyannote[913].speaker |
SPEAKER_19 |
transcript.pyannote[913].start |
6527.60159375 |
transcript.pyannote[913].end |
6529.27221875 |
transcript.pyannote[914].speaker |
SPEAKER_19 |
transcript.pyannote[914].start |
6530.55471875 |
transcript.pyannote[914].end |
6530.95971875 |
transcript.pyannote[915].speaker |
SPEAKER_19 |
transcript.pyannote[915].start |
6531.88784375 |
transcript.pyannote[915].end |
6533.40659375 |
transcript.pyannote[916].speaker |
SPEAKER_19 |
transcript.pyannote[916].start |
6534.35159375 |
transcript.pyannote[916].end |
6536.64659375 |
transcript.pyannote[917].speaker |
SPEAKER_05 |
transcript.pyannote[917].start |
6534.36846875 |
transcript.pyannote[917].end |
6535.14471875 |
transcript.pyannote[918].speaker |
SPEAKER_05 |
transcript.pyannote[918].start |
6537.03471875 |
transcript.pyannote[918].end |
6541.20284375 |
transcript.pyannote[919].speaker |
SPEAKER_19 |
transcript.pyannote[919].start |
6540.93284375 |
transcript.pyannote[919].end |
6542.38409375 |
transcript.pyannote[920].speaker |
SPEAKER_19 |
transcript.pyannote[920].start |
6543.00846875 |
transcript.pyannote[920].end |
6544.93221875 |
transcript.pyannote[921].speaker |
SPEAKER_05 |
transcript.pyannote[921].start |
6544.93221875 |
transcript.pyannote[921].end |
6545.77596875 |
transcript.pyannote[922].speaker |
SPEAKER_19 |
transcript.pyannote[922].start |
6546.61971875 |
transcript.pyannote[922].end |
6549.77534375 |
transcript.pyannote[923].speaker |
SPEAKER_05 |
transcript.pyannote[923].start |
6549.77534375 |
transcript.pyannote[923].end |
6550.51784375 |
transcript.pyannote[924].speaker |
SPEAKER_19 |
transcript.pyannote[924].start |
6550.56846875 |
transcript.pyannote[924].end |
6554.01096875 |
transcript.pyannote[925].speaker |
SPEAKER_05 |
transcript.pyannote[925].start |
6551.58096875 |
transcript.pyannote[925].end |
6552.88034375 |
transcript.pyannote[926].speaker |
SPEAKER_05 |
transcript.pyannote[926].start |
6553.90971875 |
transcript.pyannote[926].end |
6554.44971875 |
transcript.pyannote[927].speaker |
SPEAKER_19 |
transcript.pyannote[927].start |
6554.80409375 |
transcript.pyannote[927].end |
6557.57159375 |
transcript.pyannote[928].speaker |
SPEAKER_05 |
transcript.pyannote[928].start |
6558.21284375 |
transcript.pyannote[928].end |
6560.81159375 |
transcript.pyannote[929].speaker |
SPEAKER_19 |
transcript.pyannote[929].start |
6559.37721875 |
transcript.pyannote[929].end |
6562.16159375 |
transcript.pyannote[930].speaker |
SPEAKER_05 |
transcript.pyannote[930].start |
6562.34721875 |
transcript.pyannote[930].end |
6563.44409375 |
transcript.pyannote[931].speaker |
SPEAKER_19 |
transcript.pyannote[931].start |
6563.29221875 |
transcript.pyannote[931].end |
6567.35909375 |
transcript.pyannote[932].speaker |
SPEAKER_05 |
transcript.pyannote[932].start |
6566.93721875 |
transcript.pyannote[932].end |
6569.78909375 |
transcript.pyannote[933].speaker |
SPEAKER_19 |
transcript.pyannote[933].start |
6569.78909375 |
transcript.pyannote[933].end |
6580.33596875 |
transcript.pyannote[934].speaker |
SPEAKER_05 |
transcript.pyannote[934].start |
6579.72846875 |
transcript.pyannote[934].end |
6585.28034375 |
transcript.pyannote[935].speaker |
SPEAKER_19 |
transcript.pyannote[935].start |
6585.19596875 |
transcript.pyannote[935].end |
6591.11909375 |
transcript.pyannote[936].speaker |
SPEAKER_05 |
transcript.pyannote[936].start |
6589.60034375 |
transcript.pyannote[936].end |
6591.13596875 |
transcript.pyannote[937].speaker |
SPEAKER_19 |
transcript.pyannote[937].start |
6591.13596875 |
transcript.pyannote[937].end |
6592.33409375 |
transcript.pyannote[938].speaker |
SPEAKER_05 |
transcript.pyannote[938].start |
6592.28346875 |
transcript.pyannote[938].end |
6593.27909375 |
transcript.pyannote[939].speaker |
SPEAKER_19 |
transcript.pyannote[939].start |
6593.48159375 |
transcript.pyannote[939].end |
6594.03846875 |
transcript.pyannote[940].speaker |
SPEAKER_19 |
transcript.pyannote[940].start |
6594.22409375 |
transcript.pyannote[940].end |
6596.04659375 |
transcript.pyannote[941].speaker |
SPEAKER_05 |
transcript.pyannote[941].start |
6596.24909375 |
transcript.pyannote[941].end |
6597.10971875 |
transcript.pyannote[942].speaker |
SPEAKER_05 |
transcript.pyannote[942].start |
6597.16034375 |
transcript.pyannote[942].end |
6597.19409375 |
transcript.pyannote[943].speaker |
SPEAKER_19 |
transcript.pyannote[943].start |
6597.19409375 |
transcript.pyannote[943].end |
6598.22346875 |
transcript.pyannote[944].speaker |
SPEAKER_05 |
transcript.pyannote[944].start |
6598.10534375 |
transcript.pyannote[944].end |
6598.20659375 |
transcript.pyannote[945].speaker |
SPEAKER_05 |
transcript.pyannote[945].start |
6598.22346875 |
transcript.pyannote[945].end |
6599.59034375 |
transcript.pyannote[946].speaker |
SPEAKER_19 |
transcript.pyannote[946].start |
6600.58596875 |
transcript.pyannote[946].end |
6601.02471875 |
transcript.pyannote[947].speaker |
SPEAKER_19 |
transcript.pyannote[947].start |
6602.39159375 |
transcript.pyannote[947].end |
6605.09159375 |
transcript.pyannote[948].speaker |
SPEAKER_19 |
transcript.pyannote[948].start |
6605.32784375 |
transcript.pyannote[948].end |
6609.71534375 |
transcript.pyannote[949].speaker |
SPEAKER_19 |
transcript.pyannote[949].start |
6610.62659375 |
transcript.pyannote[949].end |
6612.06096875 |
transcript.pyannote[950].speaker |
SPEAKER_19 |
transcript.pyannote[950].start |
6612.51659375 |
transcript.pyannote[950].end |
6612.97221875 |
transcript.pyannote[951].speaker |
SPEAKER_19 |
transcript.pyannote[951].start |
6613.61346875 |
transcript.pyannote[951].end |
6614.45721875 |
transcript.pyannote[952].speaker |
SPEAKER_19 |
transcript.pyannote[952].start |
6614.60909375 |
transcript.pyannote[952].end |
6617.98409375 |
transcript.pyannote[953].speaker |
SPEAKER_19 |
transcript.pyannote[953].start |
6619.48596875 |
transcript.pyannote[953].end |
6622.03409375 |
transcript.pyannote[954].speaker |
SPEAKER_38 |
transcript.pyannote[954].start |
6622.03409375 |
transcript.pyannote[954].end |
6622.05096875 |
transcript.pyannote[955].speaker |
SPEAKER_19 |
transcript.pyannote[955].start |
6622.05096875 |
transcript.pyannote[955].end |
6622.06784375 |
transcript.pyannote[956].speaker |
SPEAKER_38 |
transcript.pyannote[956].start |
6622.06784375 |
transcript.pyannote[956].end |
6622.47284375 |
transcript.pyannote[957].speaker |
SPEAKER_19 |
transcript.pyannote[957].start |
6622.23659375 |
transcript.pyannote[957].end |
6630.69096875 |
transcript.pyannote[958].speaker |
SPEAKER_05 |
transcript.pyannote[958].start |
6630.69096875 |
transcript.pyannote[958].end |
6630.99471875 |
transcript.pyannote[959].speaker |
SPEAKER_19 |
transcript.pyannote[959].start |
6631.29846875 |
transcript.pyannote[959].end |
6632.37846875 |
transcript.pyannote[960].speaker |
SPEAKER_05 |
transcript.pyannote[960].start |
6633.00284375 |
transcript.pyannote[960].end |
6633.96471875 |
transcript.pyannote[961].speaker |
SPEAKER_19 |
transcript.pyannote[961].start |
6633.50909375 |
transcript.pyannote[961].end |
6634.60596875 |
transcript.pyannote[962].speaker |
SPEAKER_19 |
transcript.pyannote[962].start |
6634.85909375 |
transcript.pyannote[962].end |
6635.77034375 |
transcript.pyannote[963].speaker |
SPEAKER_05 |
transcript.pyannote[963].start |
6635.73659375 |
transcript.pyannote[963].end |
6637.37346875 |
transcript.pyannote[964].speaker |
SPEAKER_19 |
transcript.pyannote[964].start |
6639.22971875 |
transcript.pyannote[964].end |
6640.00596875 |
transcript.pyannote[965].speaker |
SPEAKER_19 |
transcript.pyannote[965].start |
6641.45721875 |
transcript.pyannote[965].end |
6643.21221875 |
transcript.pyannote[966].speaker |
SPEAKER_19 |
transcript.pyannote[966].start |
6644.46096875 |
transcript.pyannote[966].end |
6646.72221875 |
transcript.pyannote[967].speaker |
SPEAKER_19 |
transcript.pyannote[967].start |
6647.51534375 |
transcript.pyannote[967].end |
6648.47721875 |
transcript.pyannote[968].speaker |
SPEAKER_19 |
transcript.pyannote[968].start |
6649.47284375 |
transcript.pyannote[968].end |
6650.35034375 |
transcript.pyannote[969].speaker |
SPEAKER_30 |
transcript.pyannote[969].start |
6650.35034375 |
transcript.pyannote[969].end |
6650.36721875 |
transcript.pyannote[970].speaker |
SPEAKER_19 |
transcript.pyannote[970].start |
6651.85221875 |
transcript.pyannote[970].end |
6651.97034375 |
transcript.pyannote[971].speaker |
SPEAKER_30 |
transcript.pyannote[971].start |
6651.97034375 |
transcript.pyannote[971].end |
6658.14659375 |
transcript.pyannote[972].speaker |
SPEAKER_30 |
transcript.pyannote[972].start |
6658.61909375 |
transcript.pyannote[972].end |
6659.32784375 |
transcript.pyannote[973].speaker |
SPEAKER_30 |
transcript.pyannote[973].start |
6659.76659375 |
transcript.pyannote[973].end |
6661.89284375 |
transcript.pyannote[974].speaker |
SPEAKER_00 |
transcript.pyannote[974].start |
6661.72409375 |
transcript.pyannote[974].end |
6661.74096875 |
transcript.pyannote[975].speaker |
SPEAKER_19 |
transcript.pyannote[975].start |
6661.74096875 |
transcript.pyannote[975].end |
6661.82534375 |
transcript.pyannote[976].speaker |
SPEAKER_19 |
transcript.pyannote[976].start |
6661.89284375 |
transcript.pyannote[976].end |
6662.71971875 |
transcript.pyannote[977].speaker |
SPEAKER_30 |
transcript.pyannote[977].start |
6662.92221875 |
transcript.pyannote[977].end |
6664.35659375 |
transcript.pyannote[978].speaker |
SPEAKER_19 |
transcript.pyannote[978].start |
6664.96409375 |
transcript.pyannote[978].end |
6666.09471875 |
transcript.pyannote[979].speaker |
SPEAKER_30 |
transcript.pyannote[979].start |
6666.09471875 |
transcript.pyannote[979].end |
6666.24659375 |
transcript.pyannote[980].speaker |
SPEAKER_19 |
transcript.pyannote[980].start |
6666.24659375 |
transcript.pyannote[980].end |
6667.32659375 |
transcript.pyannote[981].speaker |
SPEAKER_19 |
transcript.pyannote[981].start |
6668.15346875 |
transcript.pyannote[981].end |
6670.12784375 |
transcript.pyannote[982].speaker |
SPEAKER_30 |
transcript.pyannote[982].start |
6669.16596875 |
transcript.pyannote[982].end |
6670.04346875 |
transcript.pyannote[983].speaker |
SPEAKER_30 |
transcript.pyannote[983].start |
6670.38096875 |
transcript.pyannote[983].end |
6671.71409375 |
transcript.pyannote[984].speaker |
SPEAKER_19 |
transcript.pyannote[984].start |
6671.71409375 |
transcript.pyannote[984].end |
6672.47346875 |
transcript.pyannote[985].speaker |
SPEAKER_30 |
transcript.pyannote[985].start |
6671.81534375 |
transcript.pyannote[985].end |
6672.86159375 |
transcript.pyannote[986].speaker |
SPEAKER_19 |
transcript.pyannote[986].start |
6674.51534375 |
transcript.pyannote[986].end |
6680.37096875 |
transcript.pyannote[987].speaker |
SPEAKER_03 |
transcript.pyannote[987].start |
6681.19784375 |
transcript.pyannote[987].end |
6682.09221875 |
transcript.pyannote[988].speaker |
SPEAKER_19 |
transcript.pyannote[988].start |
6682.09221875 |
transcript.pyannote[988].end |
6685.82159375 |
transcript.pyannote[989].speaker |
SPEAKER_19 |
transcript.pyannote[989].start |
6686.53034375 |
transcript.pyannote[989].end |
6689.71971875 |
transcript.pyannote[990].speaker |
SPEAKER_19 |
transcript.pyannote[990].start |
6690.88409375 |
transcript.pyannote[990].end |
6694.47846875 |
transcript.pyannote[991].speaker |
SPEAKER_19 |
transcript.pyannote[991].start |
6695.59221875 |
transcript.pyannote[991].end |
6696.04784375 |
transcript.pyannote[992].speaker |
SPEAKER_19 |
transcript.pyannote[992].start |
6696.26721875 |
transcript.pyannote[992].end |
6696.79034375 |
transcript.pyannote[993].speaker |
SPEAKER_19 |
transcript.pyannote[993].start |
6697.19534375 |
transcript.pyannote[993].end |
6698.34284375 |
transcript.pyannote[994].speaker |
SPEAKER_19 |
transcript.pyannote[994].start |
6699.47346875 |
transcript.pyannote[994].end |
6702.62909375 |
transcript.pyannote[995].speaker |
SPEAKER_19 |
transcript.pyannote[995].start |
6703.48971875 |
transcript.pyannote[995].end |
6708.43409375 |
transcript.pyannote[996].speaker |
SPEAKER_19 |
transcript.pyannote[996].start |
6709.29471875 |
transcript.pyannote[996].end |
6710.56034375 |
transcript.pyannote[997].speaker |
SPEAKER_19 |
transcript.pyannote[997].start |
6711.48846875 |
transcript.pyannote[997].end |
6712.63596875 |
transcript.pyannote[998].speaker |
SPEAKER_05 |
transcript.pyannote[998].start |
6712.77096875 |
transcript.pyannote[998].end |
6713.69909375 |
transcript.pyannote[999].speaker |
SPEAKER_19 |
transcript.pyannote[999].start |
6713.14221875 |
transcript.pyannote[999].end |
6714.39096875 |
transcript.pyannote[1000].speaker |
SPEAKER_05 |
transcript.pyannote[1000].start |
6715.08284375 |
transcript.pyannote[1000].end |
6718.17096875 |
transcript.pyannote[1001].speaker |
SPEAKER_19 |
transcript.pyannote[1001].start |
6717.29346875 |
transcript.pyannote[1001].end |
6717.32721875 |
transcript.pyannote[1002].speaker |
SPEAKER_19 |
transcript.pyannote[1002].start |
6718.28909375 |
transcript.pyannote[1002].end |
6720.39846875 |
transcript.pyannote[1003].speaker |
SPEAKER_19 |
transcript.pyannote[1003].start |
6721.63034375 |
transcript.pyannote[1003].end |
6724.21221875 |
transcript.pyannote[1004].speaker |
SPEAKER_19 |
transcript.pyannote[1004].start |
6725.64659375 |
transcript.pyannote[1004].end |
6726.03471875 |
transcript.pyannote[1005].speaker |
SPEAKER_19 |
transcript.pyannote[1005].start |
6726.06846875 |
transcript.pyannote[1005].end |
6732.44721875 |
transcript.pyannote[1006].speaker |
SPEAKER_19 |
transcript.pyannote[1006].start |
6732.86909375 |
transcript.pyannote[1006].end |
6737.20596875 |
transcript.pyannote[1007].speaker |
SPEAKER_19 |
transcript.pyannote[1007].start |
6738.04971875 |
transcript.pyannote[1007].end |
6740.95221875 |
transcript.pyannote[1008].speaker |
SPEAKER_19 |
transcript.pyannote[1008].start |
6741.50909375 |
transcript.pyannote[1008].end |
6751.14471875 |
transcript.pyannote[1009].speaker |
SPEAKER_19 |
transcript.pyannote[1009].start |
6751.41471875 |
transcript.pyannote[1009].end |
6752.62971875 |
transcript.pyannote[1010].speaker |
SPEAKER_19 |
transcript.pyannote[1010].start |
6753.79409375 |
transcript.pyannote[1010].end |
6756.94971875 |
transcript.pyannote[1011].speaker |
SPEAKER_19 |
transcript.pyannote[1011].start |
6757.20284375 |
transcript.pyannote[1011].end |
6761.91096875 |
transcript.pyannote[1012].speaker |
SPEAKER_19 |
transcript.pyannote[1012].start |
6762.75471875 |
transcript.pyannote[1012].end |
6771.12471875 |
transcript.pyannote[1013].speaker |
SPEAKER_19 |
transcript.pyannote[1013].start |
6771.37784375 |
transcript.pyannote[1013].end |
6772.49159375 |
transcript.pyannote[1014].speaker |
SPEAKER_19 |
transcript.pyannote[1014].start |
6773.57159375 |
transcript.pyannote[1014].end |
6778.73534375 |
transcript.pyannote[1015].speaker |
SPEAKER_19 |
transcript.pyannote[1015].start |
6778.95471875 |
transcript.pyannote[1015].end |
6779.42721875 |
transcript.pyannote[1016].speaker |
SPEAKER_05 |
transcript.pyannote[1016].start |
6779.05596875 |
transcript.pyannote[1016].end |
6782.85284375 |
transcript.pyannote[1017].speaker |
SPEAKER_19 |
transcript.pyannote[1017].start |
6782.24534375 |
transcript.pyannote[1017].end |
6782.61659375 |
transcript.pyannote[1018].speaker |
SPEAKER_19 |
transcript.pyannote[1018].start |
6782.85284375 |
transcript.pyannote[1018].end |
6782.92034375 |
transcript.pyannote[1019].speaker |
SPEAKER_05 |
transcript.pyannote[1019].start |
6782.92034375 |
transcript.pyannote[1019].end |
6782.98784375 |
transcript.pyannote[1020].speaker |
SPEAKER_19 |
transcript.pyannote[1020].start |
6782.98784375 |
transcript.pyannote[1020].end |
6784.13534375 |
transcript.pyannote[1021].speaker |
SPEAKER_05 |
transcript.pyannote[1021].start |
6784.13534375 |
transcript.pyannote[1021].end |
6784.20284375 |
transcript.pyannote[1022].speaker |
SPEAKER_19 |
transcript.pyannote[1022].start |
6784.20284375 |
transcript.pyannote[1022].end |
6784.25346875 |
transcript.pyannote[1023].speaker |
SPEAKER_05 |
transcript.pyannote[1023].start |
6784.25346875 |
transcript.pyannote[1023].end |
6786.22784375 |
transcript.pyannote[1024].speaker |
SPEAKER_19 |
transcript.pyannote[1024].start |
6784.52346875 |
transcript.pyannote[1024].end |
6785.45159375 |
transcript.pyannote[1025].speaker |
SPEAKER_25 |
transcript.pyannote[1025].start |
6793.38284375 |
transcript.pyannote[1025].end |
6795.37409375 |
transcript.pyannote[1026].speaker |
SPEAKER_14 |
transcript.pyannote[1026].start |
6804.45284375 |
transcript.pyannote[1026].end |
6805.34721875 |
transcript.pyannote[1027].speaker |
SPEAKER_14 |
transcript.pyannote[1027].start |
6805.97159375 |
transcript.pyannote[1027].end |
6806.91659375 |
transcript.pyannote[1028].speaker |
SPEAKER_14 |
transcript.pyannote[1028].start |
6807.43971875 |
transcript.pyannote[1028].end |
6807.92909375 |
transcript.pyannote[1029].speaker |
SPEAKER_14 |
transcript.pyannote[1029].start |
6807.96284375 |
transcript.pyannote[1029].end |
6808.01346875 |
transcript.pyannote[1030].speaker |
SPEAKER_24 |
transcript.pyannote[1030].start |
6808.21596875 |
transcript.pyannote[1030].end |
6809.83596875 |
transcript.pyannote[1031].speaker |
SPEAKER_14 |
transcript.pyannote[1031].start |
6808.60409375 |
transcript.pyannote[1031].end |
6809.93721875 |
transcript.pyannote[1032].speaker |
SPEAKER_24 |
transcript.pyannote[1032].start |
6809.93721875 |
transcript.pyannote[1032].end |
6809.98784375 |
transcript.pyannote[1033].speaker |
SPEAKER_24 |
transcript.pyannote[1033].start |
6811.30409375 |
transcript.pyannote[1033].end |
6812.89034375 |
transcript.pyannote[1034].speaker |
SPEAKER_14 |
transcript.pyannote[1034].start |
6811.67534375 |
transcript.pyannote[1034].end |
6812.85659375 |
transcript.pyannote[1035].speaker |
SPEAKER_24 |
transcript.pyannote[1035].start |
6813.07596875 |
transcript.pyannote[1035].end |
6813.49784375 |
transcript.pyannote[1036].speaker |
SPEAKER_14 |
transcript.pyannote[1036].start |
6818.35784375 |
transcript.pyannote[1036].end |
6818.40846875 |
transcript.pyannote[1037].speaker |
SPEAKER_38 |
transcript.pyannote[1037].start |
6818.40846875 |
transcript.pyannote[1037].end |
6818.50971875 |
transcript.pyannote[1038].speaker |
SPEAKER_14 |
transcript.pyannote[1038].start |
6818.50971875 |
transcript.pyannote[1038].end |
6818.84721875 |
transcript.pyannote[1039].speaker |
SPEAKER_38 |
transcript.pyannote[1039].start |
6818.54346875 |
transcript.pyannote[1039].end |
6818.56034375 |
transcript.pyannote[1040].speaker |
SPEAKER_38 |
transcript.pyannote[1040].start |
6818.59409375 |
transcript.pyannote[1040].end |
6818.66159375 |
transcript.pyannote[1041].speaker |
SPEAKER_14 |
transcript.pyannote[1041].start |
6820.55159375 |
transcript.pyannote[1041].end |
6821.53034375 |
transcript.pyannote[1042].speaker |
SPEAKER_14 |
transcript.pyannote[1042].start |
6822.82971875 |
transcript.pyannote[1042].end |
6826.35659375 |
transcript.pyannote[1043].speaker |
SPEAKER_14 |
transcript.pyannote[1043].start |
6826.82909375 |
transcript.pyannote[1043].end |
6830.15346875 |
transcript.pyannote[1044].speaker |
SPEAKER_14 |
transcript.pyannote[1044].start |
6830.54159375 |
transcript.pyannote[1044].end |
6847.07909375 |
transcript.pyannote[1045].speaker |
SPEAKER_14 |
transcript.pyannote[1045].start |
6847.66971875 |
transcript.pyannote[1045].end |
6851.26409375 |
transcript.pyannote[1046].speaker |
SPEAKER_14 |
transcript.pyannote[1046].start |
6851.31471875 |
transcript.pyannote[1046].end |
6852.10784375 |
transcript.pyannote[1047].speaker |
SPEAKER_14 |
transcript.pyannote[1047].start |
6852.69846875 |
transcript.pyannote[1047].end |
6857.03534375 |
transcript.pyannote[1048].speaker |
SPEAKER_14 |
transcript.pyannote[1048].start |
6857.13659375 |
transcript.pyannote[1048].end |
6868.20659375 |
transcript.pyannote[1049].speaker |
SPEAKER_14 |
transcript.pyannote[1049].start |
6869.06721875 |
transcript.pyannote[1049].end |
6870.60284375 |
transcript.pyannote[1050].speaker |
SPEAKER_05 |
transcript.pyannote[1050].start |
6871.69971875 |
transcript.pyannote[1050].end |
6871.86846875 |
transcript.pyannote[1051].speaker |
SPEAKER_04 |
transcript.pyannote[1051].start |
6872.59409375 |
transcript.pyannote[1051].end |
6872.62784375 |
transcript.pyannote[1052].speaker |
SPEAKER_05 |
transcript.pyannote[1052].start |
6872.62784375 |
transcript.pyannote[1052].end |
6872.66159375 |
transcript.pyannote[1053].speaker |
SPEAKER_04 |
transcript.pyannote[1053].start |
6872.66159375 |
transcript.pyannote[1053].end |
6873.23534375 |
transcript.pyannote[1054].speaker |
SPEAKER_14 |
transcript.pyannote[1054].start |
6873.45471875 |
transcript.pyannote[1054].end |
6874.23096875 |
transcript.pyannote[1055].speaker |
SPEAKER_04 |
transcript.pyannote[1055].start |
6874.66971875 |
transcript.pyannote[1055].end |
6875.27721875 |
transcript.pyannote[1056].speaker |
SPEAKER_14 |
transcript.pyannote[1056].start |
6875.27721875 |
transcript.pyannote[1056].end |
6877.84221875 |
transcript.pyannote[1057].speaker |
SPEAKER_14 |
transcript.pyannote[1057].start |
6878.55096875 |
transcript.pyannote[1057].end |
6881.11596875 |
transcript.pyannote[1058].speaker |
SPEAKER_14 |
transcript.pyannote[1058].start |
6881.77409375 |
transcript.pyannote[1058].end |
6883.10721875 |
transcript.pyannote[1059].speaker |
SPEAKER_30 |
transcript.pyannote[1059].start |
6883.10721875 |
transcript.pyannote[1059].end |
6883.12409375 |
transcript.pyannote[1060].speaker |
SPEAKER_14 |
transcript.pyannote[1060].start |
6883.12409375 |
transcript.pyannote[1060].end |
6883.14096875 |
transcript.pyannote[1061].speaker |
SPEAKER_30 |
transcript.pyannote[1061].start |
6884.64284375 |
transcript.pyannote[1061].end |
6891.42659375 |
transcript.pyannote[1062].speaker |
SPEAKER_14 |
transcript.pyannote[1062].start |
6891.15659375 |
transcript.pyannote[1062].end |
6896.94471875 |
transcript.pyannote[1063].speaker |
SPEAKER_30 |
transcript.pyannote[1063].start |
6899.93159375 |
transcript.pyannote[1063].end |
6920.13096875 |
transcript.pyannote[1064].speaker |
SPEAKER_14 |
transcript.pyannote[1064].start |
6914.69721875 |
transcript.pyannote[1064].end |
6916.18221875 |
transcript.pyannote[1065].speaker |
SPEAKER_14 |
transcript.pyannote[1065].start |
6916.45221875 |
transcript.pyannote[1065].end |
6924.11346875 |
transcript.pyannote[1066].speaker |
SPEAKER_14 |
transcript.pyannote[1066].start |
6926.88096875 |
transcript.pyannote[1066].end |
6928.16346875 |
transcript.pyannote[1067].speaker |
SPEAKER_14 |
transcript.pyannote[1067].start |
6928.24784375 |
transcript.pyannote[1067].end |
6936.29721875 |
transcript.pyannote[1068].speaker |
SPEAKER_14 |
transcript.pyannote[1068].start |
6937.22534375 |
transcript.pyannote[1068].end |
6937.88346875 |
transcript.pyannote[1069].speaker |
SPEAKER_14 |
transcript.pyannote[1069].start |
6938.54159375 |
transcript.pyannote[1069].end |
6939.84096875 |
transcript.pyannote[1070].speaker |
SPEAKER_14 |
transcript.pyannote[1070].start |
6940.16159375 |
transcript.pyannote[1070].end |
6941.24159375 |
transcript.pyannote[1071].speaker |
SPEAKER_14 |
transcript.pyannote[1071].start |
6941.91659375 |
transcript.pyannote[1071].end |
6943.53659375 |
transcript.pyannote[1072].speaker |
SPEAKER_14 |
transcript.pyannote[1072].start |
6943.82346875 |
transcript.pyannote[1072].end |
6944.58284375 |
transcript.pyannote[1073].speaker |
SPEAKER_14 |
transcript.pyannote[1073].start |
6945.05534375 |
transcript.pyannote[1073].end |
6946.13534375 |
transcript.pyannote[1074].speaker |
SPEAKER_14 |
transcript.pyannote[1074].start |
6947.13096875 |
transcript.pyannote[1074].end |
6955.07909375 |
transcript.pyannote[1075].speaker |
SPEAKER_14 |
transcript.pyannote[1075].start |
6955.58534375 |
transcript.pyannote[1075].end |
6958.04909375 |
transcript.pyannote[1076].speaker |
SPEAKER_14 |
transcript.pyannote[1076].start |
6958.28534375 |
transcript.pyannote[1076].end |
6959.43284375 |
transcript.pyannote[1077].speaker |
SPEAKER_14 |
transcript.pyannote[1077].start |
6959.71971875 |
transcript.pyannote[1077].end |
6962.36909375 |
transcript.pyannote[1078].speaker |
SPEAKER_14 |
transcript.pyannote[1078].start |
6962.84159375 |
transcript.pyannote[1078].end |
6965.57534375 |
transcript.pyannote[1079].speaker |
SPEAKER_14 |
transcript.pyannote[1079].start |
6965.81159375 |
transcript.pyannote[1079].end |
6967.80284375 |
transcript.pyannote[1080].speaker |
SPEAKER_14 |
transcript.pyannote[1080].start |
6968.15721875 |
transcript.pyannote[1080].end |
6973.16909375 |
transcript.pyannote[1081].speaker |
SPEAKER_14 |
transcript.pyannote[1081].start |
6973.37159375 |
transcript.pyannote[1081].end |
6981.64034375 |
transcript.pyannote[1082].speaker |
SPEAKER_14 |
transcript.pyannote[1082].start |
6981.70784375 |
transcript.pyannote[1082].end |
6985.01534375 |
transcript.pyannote[1083].speaker |
SPEAKER_14 |
transcript.pyannote[1083].start |
6985.79159375 |
transcript.pyannote[1083].end |
6986.98971875 |
transcript.pyannote[1084].speaker |
SPEAKER_14 |
transcript.pyannote[1084].start |
6988.15409375 |
transcript.pyannote[1084].end |
6988.86284375 |
transcript.pyannote[1085].speaker |
SPEAKER_14 |
transcript.pyannote[1085].start |
6989.58846875 |
transcript.pyannote[1085].end |
6990.24659375 |
transcript.pyannote[1086].speaker |
SPEAKER_14 |
transcript.pyannote[1086].start |
6990.82034375 |
transcript.pyannote[1086].end |
6991.39409375 |
transcript.pyannote[1087].speaker |
SPEAKER_14 |
transcript.pyannote[1087].start |
6991.52909375 |
transcript.pyannote[1087].end |
6992.10284375 |
transcript.pyannote[1088].speaker |
SPEAKER_14 |
transcript.pyannote[1088].start |
6992.35596875 |
transcript.pyannote[1088].end |
6992.96346875 |
transcript.pyannote[1089].speaker |
SPEAKER_14 |
transcript.pyannote[1089].start |
6993.25034375 |
transcript.pyannote[1089].end |
6993.84096875 |
transcript.pyannote[1090].speaker |
SPEAKER_14 |
transcript.pyannote[1090].start |
6994.85346875 |
transcript.pyannote[1090].end |
6997.09784375 |
transcript.pyannote[1091].speaker |
SPEAKER_14 |
transcript.pyannote[1091].start |
6997.75596875 |
transcript.pyannote[1091].end |
7000.40534375 |
transcript.pyannote[1092].speaker |
SPEAKER_14 |
transcript.pyannote[1092].start |
7000.77659375 |
transcript.pyannote[1092].end |
7002.07596875 |
transcript.pyannote[1093].speaker |
SPEAKER_14 |
transcript.pyannote[1093].start |
7002.39659375 |
transcript.pyannote[1093].end |
7004.70846875 |
transcript.pyannote[1094].speaker |
SPEAKER_14 |
transcript.pyannote[1094].start |
7004.82659375 |
transcript.pyannote[1094].end |
7005.34971875 |
transcript.pyannote[1095].speaker |
SPEAKER_14 |
transcript.pyannote[1095].start |
7005.92346875 |
transcript.pyannote[1095].end |
7007.94846875 |
transcript.pyannote[1096].speaker |
SPEAKER_14 |
transcript.pyannote[1096].start |
7008.20159375 |
transcript.pyannote[1096].end |
7010.93534375 |
transcript.pyannote[1097].speaker |
SPEAKER_14 |
transcript.pyannote[1097].start |
7011.01971875 |
transcript.pyannote[1097].end |
7011.03659375 |
transcript.pyannote[1098].speaker |
SPEAKER_14 |
transcript.pyannote[1098].start |
7011.08721875 |
transcript.pyannote[1098].end |
7012.82534375 |
transcript.pyannote[1099].speaker |
SPEAKER_14 |
transcript.pyannote[1099].start |
7013.23034375 |
transcript.pyannote[1099].end |
7016.03159375 |
transcript.pyannote[1100].speaker |
SPEAKER_14 |
transcript.pyannote[1100].start |
7016.38596875 |
transcript.pyannote[1100].end |
7016.95971875 |
transcript.pyannote[1101].speaker |
SPEAKER_14 |
transcript.pyannote[1101].start |
7017.63471875 |
transcript.pyannote[1101].end |
7020.72284375 |
transcript.pyannote[1102].speaker |
SPEAKER_14 |
transcript.pyannote[1102].start |
7021.29659375 |
transcript.pyannote[1102].end |
7023.06846875 |
transcript.pyannote[1103].speaker |
SPEAKER_14 |
transcript.pyannote[1103].start |
7024.04721875 |
transcript.pyannote[1103].end |
7026.74721875 |
transcript.pyannote[1104].speaker |
SPEAKER_14 |
transcript.pyannote[1104].start |
7027.72596875 |
transcript.pyannote[1104].end |
7036.11284375 |
transcript.pyannote[1105].speaker |
SPEAKER_14 |
transcript.pyannote[1105].start |
7036.99034375 |
transcript.pyannote[1105].end |
7038.30659375 |
transcript.pyannote[1106].speaker |
SPEAKER_14 |
transcript.pyannote[1106].start |
7038.57659375 |
transcript.pyannote[1106].end |
7039.65659375 |
transcript.pyannote[1107].speaker |
SPEAKER_14 |
transcript.pyannote[1107].start |
7040.38221875 |
transcript.pyannote[1107].end |
7041.44534375 |
transcript.pyannote[1108].speaker |
SPEAKER_14 |
transcript.pyannote[1108].start |
7041.79971875 |
transcript.pyannote[1108].end |
7045.32659375 |
transcript.pyannote[1109].speaker |
SPEAKER_14 |
transcript.pyannote[1109].start |
7045.90034375 |
transcript.pyannote[1109].end |
7053.39284375 |
transcript.pyannote[1110].speaker |
SPEAKER_14 |
transcript.pyannote[1110].start |
7053.79784375 |
transcript.pyannote[1110].end |
7055.02971875 |
transcript.pyannote[1111].speaker |
SPEAKER_14 |
transcript.pyannote[1111].start |
7055.26596875 |
transcript.pyannote[1111].end |
7067.14596875 |
transcript.pyannote[1112].speaker |
SPEAKER_14 |
transcript.pyannote[1112].start |
7067.88846875 |
transcript.pyannote[1112].end |
7069.98096875 |
transcript.pyannote[1113].speaker |
SPEAKER_14 |
transcript.pyannote[1113].start |
7070.30159375 |
transcript.pyannote[1113].end |
7073.99721875 |
transcript.pyannote[1114].speaker |
SPEAKER_05 |
transcript.pyannote[1114].start |
7074.08159375 |
transcript.pyannote[1114].end |
7110.17721875 |
transcript.pyannote[1115].speaker |
SPEAKER_14 |
transcript.pyannote[1115].start |
7110.17721875 |
transcript.pyannote[1115].end |
7110.19409375 |
transcript.pyannote[1116].speaker |
SPEAKER_37 |
transcript.pyannote[1116].start |
7110.19409375 |
transcript.pyannote[1116].end |
7110.27846875 |
transcript.pyannote[1117].speaker |
SPEAKER_14 |
transcript.pyannote[1117].start |
7110.27846875 |
transcript.pyannote[1117].end |
7110.32909375 |
transcript.pyannote[1118].speaker |
SPEAKER_05 |
transcript.pyannote[1118].start |
7110.29534375 |
transcript.pyannote[1118].end |
7110.71721875 |
transcript.pyannote[1119].speaker |
SPEAKER_05 |
transcript.pyannote[1119].start |
7111.35846875 |
transcript.pyannote[1119].end |
7112.97846875 |
transcript.pyannote[1120].speaker |
SPEAKER_14 |
transcript.pyannote[1120].start |
7112.97846875 |
transcript.pyannote[1120].end |
7114.76721875 |
transcript.pyannote[1121].speaker |
SPEAKER_14 |
transcript.pyannote[1121].start |
7115.89784375 |
transcript.pyannote[1121].end |
7118.73284375 |
transcript.pyannote[1122].speaker |
SPEAKER_14 |
transcript.pyannote[1122].start |
7119.45846875 |
transcript.pyannote[1122].end |
7121.09534375 |
transcript.pyannote[1123].speaker |
SPEAKER_14 |
transcript.pyannote[1123].start |
7121.82096875 |
transcript.pyannote[1123].end |
7124.85846875 |
transcript.pyannote[1124].speaker |
SPEAKER_14 |
transcript.pyannote[1124].start |
7124.89221875 |
transcript.pyannote[1124].end |
7127.49096875 |
transcript.pyannote[1125].speaker |
SPEAKER_14 |
transcript.pyannote[1125].start |
7127.84534375 |
transcript.pyannote[1125].end |
7134.13971875 |
transcript.pyannote[1126].speaker |
SPEAKER_14 |
transcript.pyannote[1126].start |
7134.94971875 |
transcript.pyannote[1126].end |
7143.13409375 |
transcript.pyannote[1127].speaker |
SPEAKER_14 |
transcript.pyannote[1127].start |
7143.69096875 |
transcript.pyannote[1127].end |
7148.26409375 |
transcript.pyannote[1128].speaker |
SPEAKER_14 |
transcript.pyannote[1128].start |
7148.34846875 |
transcript.pyannote[1128].end |
7152.12846875 |
transcript.pyannote[1129].speaker |
SPEAKER_14 |
transcript.pyannote[1129].start |
7152.90471875 |
transcript.pyannote[1129].end |
7160.07659375 |
transcript.pyannote[1130].speaker |
SPEAKER_14 |
transcript.pyannote[1130].start |
7160.93721875 |
transcript.pyannote[1130].end |
7162.94534375 |
transcript.pyannote[1131].speaker |
SPEAKER_14 |
transcript.pyannote[1131].start |
7163.11409375 |
transcript.pyannote[1131].end |
7165.27409375 |
transcript.pyannote[1132].speaker |
SPEAKER_14 |
transcript.pyannote[1132].start |
7165.79721875 |
transcript.pyannote[1132].end |
7167.19784375 |
transcript.pyannote[1133].speaker |
SPEAKER_14 |
transcript.pyannote[1133].start |
7167.85596875 |
transcript.pyannote[1133].end |
7169.61096875 |
transcript.pyannote[1134].speaker |
SPEAKER_14 |
transcript.pyannote[1134].start |
7170.03284375 |
transcript.pyannote[1134].end |
7171.72034375 |
transcript.pyannote[1135].speaker |
SPEAKER_14 |
transcript.pyannote[1135].start |
7172.47971875 |
transcript.pyannote[1135].end |
7173.99846875 |
transcript.pyannote[1136].speaker |
SPEAKER_14 |
transcript.pyannote[1136].start |
7174.69034375 |
transcript.pyannote[1136].end |
7175.36534375 |
transcript.pyannote[1137].speaker |
SPEAKER_14 |
transcript.pyannote[1137].start |
7176.19221875 |
transcript.pyannote[1137].end |
7176.56346875 |
transcript.pyannote[1138].speaker |
SPEAKER_14 |
transcript.pyannote[1138].start |
7177.01909375 |
transcript.pyannote[1138].end |
7178.47034375 |
transcript.pyannote[1139].speaker |
SPEAKER_14 |
transcript.pyannote[1139].start |
7178.87534375 |
transcript.pyannote[1139].end |
7179.80346875 |
transcript.pyannote[1140].speaker |
SPEAKER_14 |
transcript.pyannote[1140].start |
7180.25909375 |
transcript.pyannote[1140].end |
7182.65534375 |
transcript.pyannote[1141].speaker |
SPEAKER_14 |
transcript.pyannote[1141].start |
7183.81971875 |
transcript.pyannote[1141].end |
7184.32596875 |
transcript.pyannote[1142].speaker |
SPEAKER_14 |
transcript.pyannote[1142].start |
7184.61284375 |
transcript.pyannote[1142].end |
7204.30596875 |
transcript.pyannote[1143].speaker |
SPEAKER_14 |
transcript.pyannote[1143].start |
7204.39034375 |
transcript.pyannote[1143].end |
7205.52096875 |
transcript.pyannote[1144].speaker |
SPEAKER_14 |
transcript.pyannote[1144].start |
7206.06096875 |
transcript.pyannote[1144].end |
7208.91284375 |
transcript.pyannote[1145].speaker |
SPEAKER_14 |
transcript.pyannote[1145].start |
7210.11096875 |
transcript.pyannote[1145].end |
7217.48534375 |
transcript.pyannote[1146].speaker |
SPEAKER_14 |
transcript.pyannote[1146].start |
7217.78909375 |
transcript.pyannote[1146].end |
7224.80909375 |
transcript.pyannote[1147].speaker |
SPEAKER_14 |
transcript.pyannote[1147].start |
7225.28159375 |
transcript.pyannote[1147].end |
7226.02409375 |
transcript.pyannote[1148].speaker |
SPEAKER_14 |
transcript.pyannote[1148].start |
7226.31096875 |
transcript.pyannote[1148].end |
7227.01971875 |
transcript.pyannote[1149].speaker |
SPEAKER_14 |
transcript.pyannote[1149].start |
7227.37409375 |
transcript.pyannote[1149].end |
7231.76159375 |
transcript.pyannote[1150].speaker |
SPEAKER_14 |
transcript.pyannote[1150].start |
7231.93034375 |
transcript.pyannote[1150].end |
7233.02721875 |
transcript.pyannote[1151].speaker |
SPEAKER_14 |
transcript.pyannote[1151].start |
7233.26346875 |
transcript.pyannote[1151].end |
7233.90471875 |
transcript.pyannote[1152].speaker |
SPEAKER_14 |
transcript.pyannote[1152].start |
7234.59659375 |
transcript.pyannote[1152].end |
7237.51596875 |
transcript.pyannote[1153].speaker |
SPEAKER_38 |
transcript.pyannote[1153].start |
7237.71846875 |
transcript.pyannote[1153].end |
7238.22471875 |
transcript.pyannote[1154].speaker |
SPEAKER_14 |
transcript.pyannote[1154].start |
7238.22471875 |
transcript.pyannote[1154].end |
7244.80596875 |
transcript.pyannote[1155].speaker |
SPEAKER_14 |
transcript.pyannote[1155].start |
7245.32909375 |
transcript.pyannote[1155].end |
7265.83221875 |
transcript.pyannote[1156].speaker |
SPEAKER_14 |
transcript.pyannote[1156].start |
7266.33846875 |
transcript.pyannote[1156].end |
7268.86971875 |
transcript.pyannote[1157].speaker |
SPEAKER_14 |
transcript.pyannote[1157].start |
7269.17346875 |
transcript.pyannote[1157].end |
7279.85534375 |
transcript.pyannote[1158].speaker |
SPEAKER_14 |
transcript.pyannote[1158].start |
7280.19284375 |
transcript.pyannote[1158].end |
7281.64409375 |
transcript.pyannote[1159].speaker |
SPEAKER_14 |
transcript.pyannote[1159].start |
7281.99846875 |
transcript.pyannote[1159].end |
7285.35659375 |
transcript.pyannote[1160].speaker |
SPEAKER_14 |
transcript.pyannote[1160].start |
7285.57596875 |
transcript.pyannote[1160].end |
7287.70221875 |
transcript.pyannote[1161].speaker |
SPEAKER_14 |
transcript.pyannote[1161].start |
7288.12409375 |
transcript.pyannote[1161].end |
7291.29659375 |
transcript.pyannote[1162].speaker |
SPEAKER_14 |
transcript.pyannote[1162].start |
7291.68471875 |
transcript.pyannote[1162].end |
7293.59159375 |
transcript.pyannote[1163].speaker |
SPEAKER_14 |
transcript.pyannote[1163].start |
7294.21596875 |
transcript.pyannote[1163].end |
7294.90784375 |
transcript.pyannote[1164].speaker |
SPEAKER_14 |
transcript.pyannote[1164].start |
7295.22846875 |
transcript.pyannote[1164].end |
7297.50659375 |
transcript.pyannote[1165].speaker |
SPEAKER_14 |
transcript.pyannote[1165].start |
7297.75971875 |
transcript.pyannote[1165].end |
7301.55659375 |
transcript.pyannote[1166].speaker |
SPEAKER_14 |
transcript.pyannote[1166].start |
7302.13034375 |
transcript.pyannote[1166].end |
7322.14409375 |
transcript.pyannote[1167].speaker |
SPEAKER_14 |
transcript.pyannote[1167].start |
7322.49846875 |
transcript.pyannote[1167].end |
7327.71284375 |
transcript.pyannote[1168].speaker |
SPEAKER_14 |
transcript.pyannote[1168].start |
7328.59034375 |
transcript.pyannote[1168].end |
7330.09221875 |
transcript.pyannote[1169].speaker |
SPEAKER_14 |
transcript.pyannote[1169].start |
7342.61346875 |
transcript.pyannote[1169].end |
7343.00159375 |
transcript.pyannote[1170].speaker |
SPEAKER_14 |
transcript.pyannote[1170].start |
7343.54159375 |
transcript.pyannote[1170].end |
7344.82409375 |
transcript.pyannote[1171].speaker |
SPEAKER_14 |
transcript.pyannote[1171].start |
7345.31346875 |
transcript.pyannote[1171].end |
7352.80596875 |
transcript.pyannote[1172].speaker |
SPEAKER_14 |
transcript.pyannote[1172].start |
7353.71721875 |
transcript.pyannote[1172].end |
7368.88784375 |
transcript.pyannote[1173].speaker |
SPEAKER_14 |
transcript.pyannote[1173].start |
7369.61346875 |
transcript.pyannote[1173].end |
7379.68784375 |
transcript.pyannote[1174].speaker |
SPEAKER_14 |
transcript.pyannote[1174].start |
7380.16034375 |
transcript.pyannote[1174].end |
7380.81846875 |
transcript.pyannote[1175].speaker |
SPEAKER_14 |
transcript.pyannote[1175].start |
7381.15596875 |
transcript.pyannote[1175].end |
7383.14721875 |
transcript.pyannote[1176].speaker |
SPEAKER_14 |
transcript.pyannote[1176].start |
7383.28221875 |
transcript.pyannote[1176].end |
7384.42971875 |
transcript.pyannote[1177].speaker |
SPEAKER_14 |
transcript.pyannote[1177].start |
7384.88534375 |
transcript.pyannote[1177].end |
7385.39159375 |
transcript.pyannote[1178].speaker |
SPEAKER_14 |
transcript.pyannote[1178].start |
7385.74596875 |
transcript.pyannote[1178].end |
7388.51346875 |
transcript.pyannote[1179].speaker |
SPEAKER_14 |
transcript.pyannote[1179].start |
7388.69909375 |
transcript.pyannote[1179].end |
7390.53846875 |
transcript.pyannote[1180].speaker |
SPEAKER_14 |
transcript.pyannote[1180].start |
7391.14596875 |
transcript.pyannote[1180].end |
7394.90909375 |
transcript.pyannote[1181].speaker |
SPEAKER_14 |
transcript.pyannote[1181].start |
7395.14534375 |
transcript.pyannote[1181].end |
7398.84096875 |
transcript.pyannote[1182].speaker |
SPEAKER_14 |
transcript.pyannote[1182].start |
7398.99284375 |
transcript.pyannote[1182].end |
7399.56659375 |
transcript.pyannote[1183].speaker |
SPEAKER_14 |
transcript.pyannote[1183].start |
7400.51159375 |
transcript.pyannote[1183].end |
7401.92909375 |
transcript.pyannote[1184].speaker |
SPEAKER_14 |
transcript.pyannote[1184].start |
7402.36784375 |
transcript.pyannote[1184].end |
7405.11846875 |
transcript.pyannote[1185].speaker |
SPEAKER_14 |
transcript.pyannote[1185].start |
7405.75971875 |
transcript.pyannote[1185].end |
7406.75534375 |
transcript.pyannote[1186].speaker |
SPEAKER_14 |
transcript.pyannote[1186].start |
7406.89034375 |
transcript.pyannote[1186].end |
7409.74221875 |
transcript.pyannote[1187].speaker |
SPEAKER_14 |
transcript.pyannote[1187].start |
7409.77596875 |
transcript.pyannote[1187].end |
7411.61534375 |
transcript.pyannote[1188].speaker |
SPEAKER_14 |
transcript.pyannote[1188].start |
7411.73346875 |
transcript.pyannote[1188].end |
7416.50909375 |
transcript.pyannote[1189].speaker |
SPEAKER_05 |
transcript.pyannote[1189].start |
7416.50909375 |
transcript.pyannote[1189].end |
7454.05596875 |
transcript.pyannote[1190].speaker |
SPEAKER_14 |
transcript.pyannote[1190].start |
7453.75221875 |
transcript.pyannote[1190].end |
7464.72096875 |
transcript.pyannote[1191].speaker |
SPEAKER_05 |
transcript.pyannote[1191].start |
7454.47784375 |
transcript.pyannote[1191].end |
7454.54534375 |
transcript.pyannote[1192].speaker |
SPEAKER_14 |
transcript.pyannote[1192].start |
7465.27784375 |
transcript.pyannote[1192].end |
7480.38096875 |
transcript.pyannote[1193].speaker |
SPEAKER_25 |
transcript.pyannote[1193].start |
7488.41346875 |
transcript.pyannote[1193].end |
7491.68721875 |
transcript.pyannote[1194].speaker |
SPEAKER_40 |
transcript.pyannote[1194].start |
7497.96471875 |
transcript.pyannote[1194].end |
7499.36534375 |
transcript.pyannote[1195].speaker |
SPEAKER_09 |
transcript.pyannote[1195].start |
7500.14159375 |
transcript.pyannote[1195].end |
7500.17534375 |
transcript.pyannote[1196].speaker |
SPEAKER_40 |
transcript.pyannote[1196].start |
7500.17534375 |
transcript.pyannote[1196].end |
7501.15409375 |
transcript.pyannote[1197].speaker |
SPEAKER_03 |
transcript.pyannote[1197].start |
7500.19221875 |
transcript.pyannote[1197].end |
7501.06971875 |
transcript.pyannote[1198].speaker |
SPEAKER_03 |
transcript.pyannote[1198].start |
7505.76096875 |
transcript.pyannote[1198].end |
7506.38534375 |
transcript.pyannote[1199].speaker |
SPEAKER_40 |
transcript.pyannote[1199].start |
7507.02659375 |
transcript.pyannote[1199].end |
7507.95471875 |
transcript.pyannote[1200].speaker |
SPEAKER_40 |
transcript.pyannote[1200].start |
7508.30909375 |
transcript.pyannote[1200].end |
7508.89971875 |
transcript.pyannote[1201].speaker |
SPEAKER_40 |
transcript.pyannote[1201].start |
7509.57471875 |
transcript.pyannote[1201].end |
7516.69596875 |
transcript.pyannote[1202].speaker |
SPEAKER_40 |
transcript.pyannote[1202].start |
7516.96596875 |
transcript.pyannote[1202].end |
7530.14534375 |
transcript.pyannote[1203].speaker |
SPEAKER_40 |
transcript.pyannote[1203].start |
7530.28034375 |
transcript.pyannote[1203].end |
7546.88534375 |
transcript.pyannote[1204].speaker |
SPEAKER_40 |
transcript.pyannote[1204].start |
7548.03284375 |
transcript.pyannote[1204].end |
7548.52221875 |
transcript.pyannote[1205].speaker |
SPEAKER_40 |
transcript.pyannote[1205].start |
7549.73721875 |
transcript.pyannote[1205].end |
7551.59346875 |
transcript.pyannote[1206].speaker |
SPEAKER_40 |
transcript.pyannote[1206].start |
7551.91409375 |
transcript.pyannote[1206].end |
7556.06534375 |
transcript.pyannote[1207].speaker |
SPEAKER_40 |
transcript.pyannote[1207].start |
7556.53784375 |
transcript.pyannote[1207].end |
7590.70971875 |
transcript.pyannote[1208].speaker |
SPEAKER_05 |
transcript.pyannote[1208].start |
7591.95846875 |
transcript.pyannote[1208].end |
7593.93284375 |
transcript.pyannote[1209].speaker |
SPEAKER_40 |
transcript.pyannote[1209].start |
7593.93284375 |
transcript.pyannote[1209].end |
7596.80159375 |
transcript.pyannote[1210].speaker |
SPEAKER_05 |
transcript.pyannote[1210].start |
7597.76346875 |
transcript.pyannote[1210].end |
7598.64096875 |
transcript.pyannote[1211].speaker |
SPEAKER_40 |
transcript.pyannote[1211].start |
7598.59034375 |
transcript.pyannote[1211].end |
7600.48034375 |
transcript.pyannote[1212].speaker |
SPEAKER_40 |
transcript.pyannote[1212].start |
7600.76721875 |
transcript.pyannote[1212].end |
7601.30721875 |
transcript.pyannote[1213].speaker |
SPEAKER_40 |
transcript.pyannote[1213].start |
7601.59409375 |
transcript.pyannote[1213].end |
7608.46221875 |
transcript.pyannote[1214].speaker |
SPEAKER_30 |
transcript.pyannote[1214].start |
7610.48721875 |
transcript.pyannote[1214].end |
7610.85846875 |
transcript.pyannote[1215].speaker |
SPEAKER_40 |
transcript.pyannote[1215].start |
7610.62221875 |
transcript.pyannote[1215].end |
7618.03034375 |
transcript.pyannote[1216].speaker |
SPEAKER_40 |
transcript.pyannote[1216].start |
7618.97534375 |
transcript.pyannote[1216].end |
7620.93284375 |
transcript.pyannote[1217].speaker |
SPEAKER_40 |
transcript.pyannote[1217].start |
7621.42221875 |
transcript.pyannote[1217].end |
7623.26159375 |
transcript.pyannote[1218].speaker |
SPEAKER_40 |
transcript.pyannote[1218].start |
7623.76784375 |
transcript.pyannote[1218].end |
7629.69096875 |
transcript.pyannote[1219].speaker |
SPEAKER_40 |
transcript.pyannote[1219].start |
7629.96096875 |
transcript.pyannote[1219].end |
7631.15909375 |
transcript.pyannote[1220].speaker |
SPEAKER_40 |
transcript.pyannote[1220].start |
7632.42471875 |
transcript.pyannote[1220].end |
7635.20909375 |
transcript.pyannote[1221].speaker |
SPEAKER_40 |
transcript.pyannote[1221].start |
7635.63096875 |
transcript.pyannote[1221].end |
7639.02284375 |
transcript.pyannote[1222].speaker |
SPEAKER_40 |
transcript.pyannote[1222].start |
7639.74846875 |
transcript.pyannote[1222].end |
7646.97096875 |
transcript.pyannote[1223].speaker |
SPEAKER_40 |
transcript.pyannote[1223].start |
7648.03409375 |
transcript.pyannote[1223].end |
7650.81846875 |
transcript.pyannote[1224].speaker |
SPEAKER_40 |
transcript.pyannote[1224].start |
7651.32471875 |
transcript.pyannote[1224].end |
7659.22221875 |
transcript.pyannote[1225].speaker |
SPEAKER_40 |
transcript.pyannote[1225].start |
7660.01534375 |
transcript.pyannote[1225].end |
7667.32221875 |
transcript.pyannote[1226].speaker |
SPEAKER_40 |
transcript.pyannote[1226].start |
7667.60909375 |
transcript.pyannote[1226].end |
7677.86909375 |
transcript.pyannote[1227].speaker |
SPEAKER_40 |
transcript.pyannote[1227].start |
7678.17284375 |
transcript.pyannote[1227].end |
7681.36221875 |
transcript.pyannote[1228].speaker |
SPEAKER_40 |
transcript.pyannote[1228].start |
7682.37471875 |
transcript.pyannote[1228].end |
7691.28471875 |
transcript.pyannote[1229].speaker |
SPEAKER_40 |
transcript.pyannote[1229].start |
7691.41971875 |
transcript.pyannote[1229].end |
7699.04721875 |
transcript.pyannote[1230].speaker |
SPEAKER_40 |
transcript.pyannote[1230].start |
7699.09784375 |
transcript.pyannote[1230].end |
7709.25659375 |
transcript.pyannote[1231].speaker |
SPEAKER_40 |
transcript.pyannote[1231].start |
7709.74596875 |
transcript.pyannote[1231].end |
7710.18471875 |
transcript.pyannote[1232].speaker |
SPEAKER_40 |
transcript.pyannote[1232].start |
7710.45471875 |
transcript.pyannote[1232].end |
7718.03159375 |
transcript.pyannote[1233].speaker |
SPEAKER_40 |
transcript.pyannote[1233].start |
7718.45346875 |
transcript.pyannote[1233].end |
7724.47784375 |
transcript.pyannote[1234].speaker |
SPEAKER_40 |
transcript.pyannote[1234].start |
7725.05159375 |
transcript.pyannote[1234].end |
7725.76034375 |
transcript.pyannote[1235].speaker |
SPEAKER_05 |
transcript.pyannote[1235].start |
7725.76034375 |
transcript.pyannote[1235].end |
7743.10784375 |
transcript.pyannote[1236].speaker |
SPEAKER_40 |
transcript.pyannote[1236].start |
7742.21346875 |
transcript.pyannote[1236].end |
7746.97221875 |
transcript.pyannote[1237].speaker |
SPEAKER_40 |
transcript.pyannote[1237].start |
7747.66409375 |
transcript.pyannote[1237].end |
7749.62159375 |
transcript.pyannote[1238].speaker |
SPEAKER_40 |
transcript.pyannote[1238].start |
7750.06034375 |
transcript.pyannote[1238].end |
7752.69284375 |
transcript.pyannote[1239].speaker |
SPEAKER_40 |
transcript.pyannote[1239].start |
7753.30034375 |
transcript.pyannote[1239].end |
7755.19034375 |
transcript.pyannote[1240].speaker |
SPEAKER_40 |
transcript.pyannote[1240].start |
7756.06784375 |
transcript.pyannote[1240].end |
7756.97909375 |
transcript.pyannote[1241].speaker |
SPEAKER_40 |
transcript.pyannote[1241].start |
7757.43471875 |
transcript.pyannote[1241].end |
7760.10096875 |
transcript.pyannote[1242].speaker |
SPEAKER_40 |
transcript.pyannote[1242].start |
7760.42159375 |
transcript.pyannote[1242].end |
7763.61096875 |
transcript.pyannote[1243].speaker |
SPEAKER_40 |
transcript.pyannote[1243].start |
7764.28596875 |
transcript.pyannote[1243].end |
7765.02846875 |
transcript.pyannote[1244].speaker |
SPEAKER_40 |
transcript.pyannote[1244].start |
7765.43346875 |
transcript.pyannote[1244].end |
7767.00284375 |
transcript.pyannote[1245].speaker |
SPEAKER_40 |
transcript.pyannote[1245].start |
7767.30659375 |
transcript.pyannote[1245].end |
7770.05721875 |
transcript.pyannote[1246].speaker |
SPEAKER_40 |
transcript.pyannote[1246].start |
7770.32721875 |
transcript.pyannote[1246].end |
7793.44596875 |
transcript.pyannote[1247].speaker |
SPEAKER_37 |
transcript.pyannote[1247].start |
7788.48471875 |
transcript.pyannote[1247].end |
7788.73784375 |
transcript.pyannote[1248].speaker |
SPEAKER_40 |
transcript.pyannote[1248].start |
7793.56409375 |
transcript.pyannote[1248].end |
7794.57659375 |
transcript.pyannote[1249].speaker |
SPEAKER_40 |
transcript.pyannote[1249].start |
7795.28534375 |
transcript.pyannote[1249].end |
7796.02784375 |
transcript.pyannote[1250].speaker |
SPEAKER_40 |
transcript.pyannote[1250].start |
7796.83784375 |
transcript.pyannote[1250].end |
7798.82909375 |
transcript.pyannote[1251].speaker |
SPEAKER_40 |
transcript.pyannote[1251].start |
7799.20034375 |
transcript.pyannote[1251].end |
7800.34784375 |
transcript.pyannote[1252].speaker |
SPEAKER_40 |
transcript.pyannote[1252].start |
7802.69346875 |
transcript.pyannote[1252].end |
7803.46971875 |
transcript.pyannote[1253].speaker |
SPEAKER_05 |
transcript.pyannote[1253].start |
7803.87471875 |
transcript.pyannote[1253].end |
7805.32596875 |
transcript.pyannote[1254].speaker |
SPEAKER_40 |
transcript.pyannote[1254].start |
7805.88284375 |
transcript.pyannote[1254].end |
7805.96721875 |
transcript.pyannote[1255].speaker |
SPEAKER_36 |
transcript.pyannote[1255].start |
7805.96721875 |
transcript.pyannote[1255].end |
7806.49034375 |
transcript.pyannote[1256].speaker |
SPEAKER_36 |
transcript.pyannote[1256].start |
7807.85721875 |
transcript.pyannote[1256].end |
7808.61659375 |
transcript.pyannote[1257].speaker |
SPEAKER_36 |
transcript.pyannote[1257].start |
7809.15659375 |
transcript.pyannote[1257].end |
7821.01971875 |
transcript.pyannote[1258].speaker |
SPEAKER_40 |
transcript.pyannote[1258].start |
7818.43784375 |
transcript.pyannote[1258].end |
7826.77409375 |
transcript.pyannote[1259].speaker |
SPEAKER_40 |
transcript.pyannote[1259].start |
7827.46596875 |
transcript.pyannote[1259].end |
7828.05659375 |
transcript.pyannote[1260].speaker |
SPEAKER_40 |
transcript.pyannote[1260].start |
7828.52909375 |
transcript.pyannote[1260].end |
7833.40596875 |
transcript.pyannote[1261].speaker |
SPEAKER_40 |
transcript.pyannote[1261].start |
7833.94596875 |
transcript.pyannote[1261].end |
7840.94909375 |
transcript.pyannote[1262].speaker |
SPEAKER_40 |
transcript.pyannote[1262].start |
7841.43846875 |
transcript.pyannote[1262].end |
7856.96346875 |
transcript.pyannote[1263].speaker |
SPEAKER_36 |
transcript.pyannote[1263].start |
7855.24221875 |
transcript.pyannote[1263].end |
7855.54596875 |
transcript.pyannote[1264].speaker |
SPEAKER_36 |
transcript.pyannote[1264].start |
7856.96346875 |
transcript.pyannote[1264].end |
7871.03721875 |
transcript.pyannote[1265].speaker |
SPEAKER_40 |
transcript.pyannote[1265].start |
7871.03721875 |
transcript.pyannote[1265].end |
7880.18346875 |
transcript.pyannote[1266].speaker |
SPEAKER_36 |
transcript.pyannote[1266].start |
7878.19221875 |
transcript.pyannote[1266].end |
7890.44346875 |
transcript.pyannote[1267].speaker |
SPEAKER_40 |
transcript.pyannote[1267].start |
7890.88221875 |
transcript.pyannote[1267].end |
7905.44534375 |
transcript.pyannote[1268].speaker |
SPEAKER_36 |
transcript.pyannote[1268].start |
7892.75534375 |
transcript.pyannote[1268].end |
7892.83971875 |
transcript.pyannote[1269].speaker |
SPEAKER_40 |
transcript.pyannote[1269].start |
7905.79971875 |
transcript.pyannote[1269].end |
7909.83284375 |
transcript.pyannote[1270].speaker |
SPEAKER_40 |
transcript.pyannote[1270].start |
7910.17034375 |
transcript.pyannote[1270].end |
7959.58034375 |
transcript.pyannote[1271].speaker |
SPEAKER_00 |
transcript.pyannote[1271].start |
7934.85846875 |
transcript.pyannote[1271].end |
7934.94284375 |
transcript.pyannote[1272].speaker |
SPEAKER_37 |
transcript.pyannote[1272].start |
7934.95971875 |
transcript.pyannote[1272].end |
7935.01034375 |
transcript.pyannote[1273].speaker |
SPEAKER_00 |
transcript.pyannote[1273].start |
7935.63471875 |
transcript.pyannote[1273].end |
7935.98909375 |
transcript.pyannote[1274].speaker |
SPEAKER_36 |
transcript.pyannote[1274].start |
7943.12721875 |
transcript.pyannote[1274].end |
7943.41409375 |
transcript.pyannote[1275].speaker |
SPEAKER_36 |
transcript.pyannote[1275].start |
7951.21034375 |
transcript.pyannote[1275].end |
7951.24409375 |
transcript.pyannote[1276].speaker |
SPEAKER_37 |
transcript.pyannote[1276].start |
7951.24409375 |
transcript.pyannote[1276].end |
7951.61534375 |
transcript.pyannote[1277].speaker |
SPEAKER_36 |
transcript.pyannote[1277].start |
7952.79659375 |
transcript.pyannote[1277].end |
7952.83034375 |
transcript.pyannote[1278].speaker |
SPEAKER_37 |
transcript.pyannote[1278].start |
7952.83034375 |
transcript.pyannote[1278].end |
7953.15096875 |
transcript.pyannote[1279].speaker |
SPEAKER_40 |
transcript.pyannote[1279].start |
7960.10346875 |
transcript.pyannote[1279].end |
7963.83284375 |
transcript.pyannote[1280].speaker |
SPEAKER_40 |
transcript.pyannote[1280].start |
7964.55846875 |
transcript.pyannote[1280].end |
7964.84534375 |
transcript.pyannote[1281].speaker |
SPEAKER_40 |
transcript.pyannote[1281].start |
7965.19971875 |
transcript.pyannote[1281].end |
7969.16534375 |
transcript.pyannote[1282].speaker |
SPEAKER_36 |
transcript.pyannote[1282].start |
7969.16534375 |
transcript.pyannote[1282].end |
8004.55221875 |
transcript.pyannote[1283].speaker |
SPEAKER_40 |
transcript.pyannote[1283].start |
7978.27784375 |
transcript.pyannote[1283].end |
7982.36159375 |
transcript.pyannote[1284].speaker |
SPEAKER_40 |
transcript.pyannote[1284].start |
8003.89409375 |
transcript.pyannote[1284].end |
8006.03721875 |
transcript.pyannote[1285].speaker |
SPEAKER_40 |
transcript.pyannote[1285].start |
8006.56034375 |
transcript.pyannote[1285].end |
8009.68221875 |
transcript.pyannote[1286].speaker |
SPEAKER_03 |
transcript.pyannote[1286].start |
8010.22221875 |
transcript.pyannote[1286].end |
8010.81284375 |
transcript.pyannote[1287].speaker |
SPEAKER_03 |
transcript.pyannote[1287].start |
8011.16721875 |
transcript.pyannote[1287].end |
8012.95596875 |
transcript.pyannote[1288].speaker |
SPEAKER_40 |
transcript.pyannote[1288].start |
8012.02784375 |
transcript.pyannote[1288].end |
8016.41534375 |
transcript.pyannote[1289].speaker |
SPEAKER_40 |
transcript.pyannote[1289].start |
8016.55034375 |
transcript.pyannote[1289].end |
8019.06471875 |
transcript.pyannote[1290].speaker |
SPEAKER_40 |
transcript.pyannote[1290].start |
8019.38534375 |
transcript.pyannote[1290].end |
8020.68471875 |
transcript.pyannote[1291].speaker |
SPEAKER_40 |
transcript.pyannote[1291].start |
8021.47784375 |
transcript.pyannote[1291].end |
8022.43971875 |
transcript.pyannote[1292].speaker |
SPEAKER_05 |
transcript.pyannote[1292].start |
8023.77284375 |
transcript.pyannote[1292].end |
8028.10971875 |
transcript.pyannote[1293].speaker |
SPEAKER_40 |
transcript.pyannote[1293].start |
8027.48534375 |
transcript.pyannote[1293].end |
8030.86034375 |
transcript.pyannote[1294].speaker |
SPEAKER_40 |
transcript.pyannote[1294].start |
8031.14721875 |
transcript.pyannote[1294].end |
8043.06096875 |
transcript.pyannote[1295].speaker |
SPEAKER_40 |
transcript.pyannote[1295].start |
8043.34784375 |
transcript.pyannote[1295].end |
8050.95846875 |
transcript.pyannote[1296].speaker |
SPEAKER_40 |
transcript.pyannote[1296].start |
8051.83596875 |
transcript.pyannote[1296].end |
8057.15159375 |
transcript.pyannote[1297].speaker |
SPEAKER_05 |
transcript.pyannote[1297].start |
8056.72971875 |
transcript.pyannote[1297].end |
8058.97409375 |
transcript.pyannote[1298].speaker |
SPEAKER_40 |
transcript.pyannote[1298].start |
8058.78846875 |
transcript.pyannote[1298].end |
8060.37471875 |
transcript.pyannote[1299].speaker |
SPEAKER_40 |
transcript.pyannote[1299].start |
8060.67846875 |
transcript.pyannote[1299].end |
8061.74159375 |
transcript.pyannote[1300].speaker |
SPEAKER_40 |
transcript.pyannote[1300].start |
8062.28159375 |
transcript.pyannote[1300].end |
8062.78784375 |
transcript.pyannote[1301].speaker |
SPEAKER_40 |
transcript.pyannote[1301].start |
8063.05784375 |
transcript.pyannote[1301].end |
8063.74971875 |
transcript.pyannote[1302].speaker |
SPEAKER_40 |
transcript.pyannote[1302].start |
8064.00284375 |
transcript.pyannote[1302].end |
8068.81221875 |
transcript.pyannote[1303].speaker |
SPEAKER_40 |
transcript.pyannote[1303].start |
8069.99346875 |
transcript.pyannote[1303].end |
8073.38534375 |
transcript.pyannote[1304].speaker |
SPEAKER_05 |
transcript.pyannote[1304].start |
8073.63846875 |
transcript.pyannote[1304].end |
8079.47721875 |
transcript.pyannote[1305].speaker |
SPEAKER_40 |
transcript.pyannote[1305].start |
8079.47721875 |
transcript.pyannote[1305].end |
8080.45596875 |
transcript.pyannote[1306].speaker |
SPEAKER_40 |
transcript.pyannote[1306].start |
8080.96221875 |
transcript.pyannote[1306].end |
8082.29534375 |
transcript.pyannote[1307].speaker |
SPEAKER_05 |
transcript.pyannote[1307].start |
8082.22784375 |
transcript.pyannote[1307].end |
8082.70034375 |
transcript.pyannote[1308].speaker |
SPEAKER_40 |
transcript.pyannote[1308].start |
8082.43034375 |
transcript.pyannote[1308].end |
8084.21909375 |
transcript.pyannote[1309].speaker |
SPEAKER_40 |
transcript.pyannote[1309].start |
8085.53534375 |
transcript.pyannote[1309].end |
8085.72096875 |
transcript.pyannote[1310].speaker |
SPEAKER_36 |
transcript.pyannote[1310].start |
8085.72096875 |
transcript.pyannote[1310].end |
8085.87284375 |
transcript.pyannote[1311].speaker |
SPEAKER_40 |
transcript.pyannote[1311].start |
8085.87284375 |
transcript.pyannote[1311].end |
8085.97409375 |
transcript.pyannote[1312].speaker |
SPEAKER_36 |
transcript.pyannote[1312].start |
8085.97409375 |
transcript.pyannote[1312].end |
8086.24409375 |
transcript.pyannote[1313].speaker |
SPEAKER_40 |
transcript.pyannote[1313].start |
8086.24409375 |
transcript.pyannote[1313].end |
8086.96971875 |
transcript.pyannote[1314].speaker |
SPEAKER_36 |
transcript.pyannote[1314].start |
8086.96971875 |
transcript.pyannote[1314].end |
8087.76284375 |
transcript.pyannote[1315].speaker |
SPEAKER_36 |
transcript.pyannote[1315].start |
8089.63596875 |
transcript.pyannote[1315].end |
8099.03534375 |
transcript.pyannote[1316].speaker |
SPEAKER_40 |
transcript.pyannote[1316].start |
8097.19596875 |
transcript.pyannote[1316].end |
8098.74846875 |
transcript.pyannote[1317].speaker |
SPEAKER_40 |
transcript.pyannote[1317].start |
8099.03534375 |
transcript.pyannote[1317].end |
8100.30096875 |
transcript.pyannote[1318].speaker |
SPEAKER_40 |
transcript.pyannote[1318].start |
8101.44846875 |
transcript.pyannote[1318].end |
8103.32159375 |
transcript.pyannote[1319].speaker |
SPEAKER_40 |
transcript.pyannote[1319].start |
8103.76034375 |
transcript.pyannote[1319].end |
8119.62284375 |
transcript.pyannote[1320].speaker |
SPEAKER_35 |
transcript.pyannote[1320].start |
8105.63346875 |
transcript.pyannote[1320].end |
8105.95409375 |
transcript.pyannote[1321].speaker |
SPEAKER_40 |
transcript.pyannote[1321].start |
8120.31471875 |
transcript.pyannote[1321].end |
8187.19034375 |
transcript.pyannote[1322].speaker |
SPEAKER_37 |
transcript.pyannote[1322].start |
8166.68721875 |
transcript.pyannote[1322].end |
8166.70409375 |
transcript.pyannote[1323].speaker |
SPEAKER_40 |
transcript.pyannote[1323].start |
8188.27034375 |
transcript.pyannote[1323].end |
8198.20971875 |
transcript.pyannote[1324].speaker |
SPEAKER_40 |
transcript.pyannote[1324].start |
8198.95221875 |
transcript.pyannote[1324].end |
8199.96471875 |
transcript.pyannote[1325].speaker |
SPEAKER_36 |
transcript.pyannote[1325].start |
8199.96471875 |
transcript.pyannote[1325].end |
8232.02721875 |
transcript.pyannote[1326].speaker |
SPEAKER_40 |
transcript.pyannote[1326].start |
8201.31471875 |
transcript.pyannote[1326].end |
8202.04034375 |
transcript.pyannote[1327].speaker |
SPEAKER_40 |
transcript.pyannote[1327].start |
8232.02721875 |
transcript.pyannote[1327].end |
8243.97471875 |
transcript.pyannote[1328].speaker |
SPEAKER_36 |
transcript.pyannote[1328].start |
8232.26346875 |
transcript.pyannote[1328].end |
8232.61784375 |
transcript.pyannote[1329].speaker |
SPEAKER_36 |
transcript.pyannote[1329].start |
8234.96346875 |
transcript.pyannote[1329].end |
8235.53721875 |
transcript.pyannote[1330].speaker |
SPEAKER_00 |
transcript.pyannote[1330].start |
8238.30471875 |
transcript.pyannote[1330].end |
8238.62534375 |
transcript.pyannote[1331].speaker |
SPEAKER_36 |
transcript.pyannote[1331].start |
8243.97471875 |
transcript.pyannote[1331].end |
8257.00221875 |
transcript.pyannote[1332].speaker |
SPEAKER_40 |
transcript.pyannote[1332].start |
8254.28534375 |
transcript.pyannote[1332].end |
8256.85034375 |
transcript.pyannote[1333].speaker |
SPEAKER_36 |
transcript.pyannote[1333].start |
8257.27221875 |
transcript.pyannote[1333].end |
8257.60971875 |
transcript.pyannote[1334].speaker |
SPEAKER_40 |
transcript.pyannote[1334].start |
8257.60971875 |
transcript.pyannote[1334].end |
8257.93034375 |
transcript.pyannote[1335].speaker |
SPEAKER_36 |
transcript.pyannote[1335].start |
8257.62659375 |
transcript.pyannote[1335].end |
8257.91346875 |
transcript.pyannote[1336].speaker |
SPEAKER_36 |
transcript.pyannote[1336].start |
8257.93034375 |
transcript.pyannote[1336].end |
8276.69534375 |
transcript.pyannote[1337].speaker |
SPEAKER_40 |
transcript.pyannote[1337].start |
8275.32846875 |
transcript.pyannote[1337].end |
8284.12034375 |
transcript.pyannote[1338].speaker |
SPEAKER_40 |
transcript.pyannote[1338].start |
8284.82909375 |
transcript.pyannote[1338].end |
8308.20096875 |
transcript.pyannote[1339].speaker |
SPEAKER_40 |
transcript.pyannote[1339].start |
8308.36971875 |
transcript.pyannote[1339].end |
8317.51596875 |
transcript.pyannote[1340].speaker |
SPEAKER_05 |
transcript.pyannote[1340].start |
8315.99721875 |
transcript.pyannote[1340].end |
8318.17409375 |
transcript.pyannote[1341].speaker |
SPEAKER_05 |
transcript.pyannote[1341].start |
8320.87409375 |
transcript.pyannote[1341].end |
8320.90784375 |
transcript.pyannote[1342].speaker |
SPEAKER_14 |
transcript.pyannote[1342].start |
8320.90784375 |
transcript.pyannote[1342].end |
8322.52784375 |
transcript.pyannote[1343].speaker |
SPEAKER_14 |
transcript.pyannote[1343].start |
8323.70909375 |
transcript.pyannote[1343].end |
8332.85534375 |
transcript.pyannote[1344].speaker |
SPEAKER_20 |
transcript.pyannote[1344].start |
8346.42284375 |
transcript.pyannote[1344].end |
8347.65471875 |
transcript.pyannote[1345].speaker |
SPEAKER_20 |
transcript.pyannote[1345].start |
8347.82346875 |
transcript.pyannote[1345].end |
8351.23221875 |
transcript.pyannote[1346].speaker |
SPEAKER_20 |
transcript.pyannote[1346].start |
8351.24909375 |
transcript.pyannote[1346].end |
8351.26596875 |
transcript.pyannote[1347].speaker |
SPEAKER_20 |
transcript.pyannote[1347].start |
8351.29971875 |
transcript.pyannote[1347].end |
8353.84784375 |
transcript.pyannote[1348].speaker |
SPEAKER_20 |
transcript.pyannote[1348].start |
8354.21909375 |
transcript.pyannote[1348].end |
8355.19784375 |
transcript.pyannote[1349].speaker |
SPEAKER_20 |
transcript.pyannote[1349].start |
8364.54659375 |
transcript.pyannote[1349].end |
8364.59721875 |
transcript.pyannote[1350].speaker |
SPEAKER_03 |
transcript.pyannote[1350].start |
8364.59721875 |
transcript.pyannote[1350].end |
8364.63096875 |
transcript.pyannote[1351].speaker |
SPEAKER_20 |
transcript.pyannote[1351].start |
8364.63096875 |
transcript.pyannote[1351].end |
8364.71534375 |
transcript.pyannote[1352].speaker |
SPEAKER_20 |
transcript.pyannote[1352].start |
8364.86721875 |
transcript.pyannote[1352].end |
8367.09471875 |
transcript.pyannote[1353].speaker |
SPEAKER_20 |
transcript.pyannote[1353].start |
8367.51659375 |
transcript.pyannote[1353].end |
8382.92346875 |
transcript.pyannote[1354].speaker |
SPEAKER_20 |
transcript.pyannote[1354].start |
8382.95721875 |
transcript.pyannote[1354].end |
8390.71971875 |
transcript.pyannote[1355].speaker |
SPEAKER_20 |
transcript.pyannote[1355].start |
8391.61409375 |
transcript.pyannote[1355].end |
8392.45784375 |
transcript.pyannote[1356].speaker |
SPEAKER_04 |
transcript.pyannote[1356].start |
8394.28034375 |
transcript.pyannote[1356].end |
8394.29721875 |
transcript.pyannote[1357].speaker |
SPEAKER_05 |
transcript.pyannote[1357].start |
8394.29721875 |
transcript.pyannote[1357].end |
8394.70221875 |
transcript.pyannote[1358].speaker |
SPEAKER_04 |
transcript.pyannote[1358].start |
8394.70221875 |
transcript.pyannote[1358].end |
8394.73596875 |
transcript.pyannote[1359].speaker |
SPEAKER_05 |
transcript.pyannote[1359].start |
8395.32659375 |
transcript.pyannote[1359].end |
8401.03034375 |
transcript.pyannote[1360].speaker |
SPEAKER_05 |
transcript.pyannote[1360].start |
8401.24971875 |
transcript.pyannote[1360].end |
8406.24471875 |
transcript.pyannote[1361].speaker |
SPEAKER_05 |
transcript.pyannote[1361].start |
8406.53159375 |
transcript.pyannote[1361].end |
8411.74596875 |
transcript.pyannote[1362].speaker |
SPEAKER_05 |
transcript.pyannote[1362].start |
8411.94846875 |
transcript.pyannote[1362].end |
8417.97284375 |
transcript.pyannote[1363].speaker |
SPEAKER_20 |
transcript.pyannote[1363].start |
8417.97284375 |
transcript.pyannote[1363].end |
8418.58034375 |
transcript.pyannote[1364].speaker |
SPEAKER_20 |
transcript.pyannote[1364].start |
8419.40721875 |
transcript.pyannote[1364].end |
8421.68534375 |
transcript.pyannote[1365].speaker |
SPEAKER_20 |
transcript.pyannote[1365].start |
8421.88784375 |
transcript.pyannote[1365].end |
8429.71784375 |
transcript.pyannote[1366].speaker |
SPEAKER_20 |
transcript.pyannote[1366].start |
8429.98784375 |
transcript.pyannote[1366].end |
8432.08034375 |
transcript.pyannote[1367].speaker |
SPEAKER_20 |
transcript.pyannote[1367].start |
8432.40096875 |
transcript.pyannote[1367].end |
8439.03284375 |
transcript.pyannote[1368].speaker |
SPEAKER_20 |
transcript.pyannote[1368].start |
8439.52221875 |
transcript.pyannote[1368].end |
8458.64159375 |
transcript.pyannote[1369].speaker |
SPEAKER_20 |
transcript.pyannote[1369].start |
8459.11409375 |
transcript.pyannote[1369].end |
8462.62409375 |
transcript.pyannote[1370].speaker |
SPEAKER_20 |
transcript.pyannote[1370].start |
8463.11346875 |
transcript.pyannote[1370].end |
8466.11721875 |
transcript.pyannote[1371].speaker |
SPEAKER_20 |
transcript.pyannote[1371].start |
8466.45471875 |
transcript.pyannote[1371].end |
8469.25596875 |
transcript.pyannote[1372].speaker |
SPEAKER_20 |
transcript.pyannote[1372].start |
8469.76221875 |
transcript.pyannote[1372].end |
8470.60596875 |
transcript.pyannote[1373].speaker |
SPEAKER_20 |
transcript.pyannote[1373].start |
8471.73659375 |
transcript.pyannote[1373].end |
8475.90471875 |
transcript.pyannote[1374].speaker |
SPEAKER_20 |
transcript.pyannote[1374].start |
8477.50784375 |
transcript.pyannote[1374].end |
8477.96346875 |
transcript.pyannote[1375].speaker |
SPEAKER_11 |
transcript.pyannote[1375].start |
8477.96346875 |
transcript.pyannote[1375].end |
8479.21221875 |
transcript.pyannote[1376].speaker |
SPEAKER_11 |
transcript.pyannote[1376].start |
8479.66784375 |
transcript.pyannote[1376].end |
8495.02409375 |
transcript.pyannote[1377].speaker |
SPEAKER_11 |
transcript.pyannote[1377].start |
8495.10846875 |
transcript.pyannote[1377].end |
8495.51346875 |
transcript.pyannote[1378].speaker |
SPEAKER_20 |
transcript.pyannote[1378].start |
8495.88471875 |
transcript.pyannote[1378].end |
8497.58909375 |
transcript.pyannote[1379].speaker |
SPEAKER_20 |
transcript.pyannote[1379].start |
8499.93471875 |
transcript.pyannote[1379].end |
8499.95159375 |
transcript.pyannote[1380].speaker |
SPEAKER_20 |
transcript.pyannote[1380].start |
8500.42409375 |
transcript.pyannote[1380].end |
8504.11971875 |
transcript.pyannote[1381].speaker |
SPEAKER_20 |
transcript.pyannote[1381].start |
8504.54159375 |
transcript.pyannote[1381].end |
8513.09721875 |
transcript.pyannote[1382].speaker |
SPEAKER_20 |
transcript.pyannote[1382].start |
8513.40096875 |
transcript.pyannote[1382].end |
8517.90659375 |
transcript.pyannote[1383].speaker |
SPEAKER_20 |
transcript.pyannote[1383].start |
8518.39596875 |
transcript.pyannote[1383].end |
8519.44221875 |
transcript.pyannote[1384].speaker |
SPEAKER_20 |
transcript.pyannote[1384].start |
8520.20159375 |
transcript.pyannote[1384].end |
8524.06596875 |
transcript.pyannote[1385].speaker |
SPEAKER_20 |
transcript.pyannote[1385].start |
8524.26846875 |
transcript.pyannote[1385].end |
8526.49596875 |
transcript.pyannote[1386].speaker |
SPEAKER_20 |
transcript.pyannote[1386].start |
8526.79971875 |
transcript.pyannote[1386].end |
8528.82471875 |
transcript.pyannote[1387].speaker |
SPEAKER_20 |
transcript.pyannote[1387].start |
8529.21284375 |
transcript.pyannote[1387].end |
8530.63034375 |
transcript.pyannote[1388].speaker |
SPEAKER_20 |
transcript.pyannote[1388].start |
8530.93409375 |
transcript.pyannote[1388].end |
8536.85721875 |
transcript.pyannote[1389].speaker |
SPEAKER_20 |
transcript.pyannote[1389].start |
8537.09346875 |
transcript.pyannote[1389].end |
8539.81034375 |
transcript.pyannote[1390].speaker |
SPEAKER_20 |
transcript.pyannote[1390].start |
8540.16471875 |
transcript.pyannote[1390].end |
8542.78034375 |
transcript.pyannote[1391].speaker |
SPEAKER_20 |
transcript.pyannote[1391].start |
8542.89846875 |
transcript.pyannote[1391].end |
8548.11284375 |
transcript.pyannote[1392].speaker |
SPEAKER_05 |
transcript.pyannote[1392].start |
8548.93971875 |
transcript.pyannote[1392].end |
8554.45784375 |
transcript.pyannote[1393].speaker |
SPEAKER_02 |
transcript.pyannote[1393].start |
8555.25096875 |
transcript.pyannote[1393].end |
8561.51159375 |
transcript.pyannote[1394].speaker |
SPEAKER_02 |
transcript.pyannote[1394].start |
8561.89971875 |
transcript.pyannote[1394].end |
8572.93596875 |
transcript.pyannote[1395].speaker |
SPEAKER_20 |
transcript.pyannote[1395].start |
8572.93596875 |
transcript.pyannote[1395].end |
8581.64346875 |
transcript.pyannote[1396].speaker |
SPEAKER_20 |
transcript.pyannote[1396].start |
8582.31846875 |
transcript.pyannote[1396].end |
8589.27096875 |
transcript.pyannote[1397].speaker |
SPEAKER_20 |
transcript.pyannote[1397].start |
8589.55784375 |
transcript.pyannote[1397].end |
8595.93659375 |
transcript.pyannote[1398].speaker |
SPEAKER_20 |
transcript.pyannote[1398].start |
8596.30784375 |
transcript.pyannote[1398].end |
8598.02909375 |
transcript.pyannote[1399].speaker |
SPEAKER_20 |
transcript.pyannote[1399].start |
8598.68721875 |
transcript.pyannote[1399].end |
8604.76221875 |
transcript.pyannote[1400].speaker |
SPEAKER_20 |
transcript.pyannote[1400].start |
8605.15034375 |
transcript.pyannote[1400].end |
8606.78721875 |
transcript.pyannote[1401].speaker |
SPEAKER_20 |
transcript.pyannote[1401].start |
8607.19221875 |
transcript.pyannote[1401].end |
8608.35659375 |
transcript.pyannote[1402].speaker |
SPEAKER_20 |
transcript.pyannote[1402].start |
8608.49159375 |
transcript.pyannote[1402].end |
8613.77346875 |
transcript.pyannote[1403].speaker |
SPEAKER_20 |
transcript.pyannote[1403].start |
8613.97596875 |
transcript.pyannote[1403].end |
8621.14784375 |
transcript.pyannote[1404].speaker |
SPEAKER_20 |
transcript.pyannote[1404].start |
8621.48534375 |
transcript.pyannote[1404].end |
8624.86034375 |
transcript.pyannote[1405].speaker |
SPEAKER_20 |
transcript.pyannote[1405].start |
8625.88971875 |
transcript.pyannote[1405].end |
8627.71221875 |
transcript.pyannote[1406].speaker |
SPEAKER_20 |
transcript.pyannote[1406].start |
8628.06659375 |
transcript.pyannote[1406].end |
8630.22659375 |
transcript.pyannote[1407].speaker |
SPEAKER_20 |
transcript.pyannote[1407].start |
8631.13784375 |
transcript.pyannote[1407].end |
8632.72409375 |
transcript.pyannote[1408].speaker |
SPEAKER_20 |
transcript.pyannote[1408].start |
8633.53409375 |
transcript.pyannote[1408].end |
8637.73596875 |
transcript.pyannote[1409].speaker |
SPEAKER_20 |
transcript.pyannote[1409].start |
8637.97221875 |
transcript.pyannote[1409].end |
8644.04721875 |
transcript.pyannote[1410].speaker |
SPEAKER_20 |
transcript.pyannote[1410].start |
8644.21596875 |
transcript.pyannote[1410].end |
8644.85721875 |
transcript.pyannote[1411].speaker |
SPEAKER_20 |
transcript.pyannote[1411].start |
8645.21159375 |
transcript.pyannote[1411].end |
8645.95409375 |
transcript.pyannote[1412].speaker |
SPEAKER_20 |
transcript.pyannote[1412].start |
8646.27471875 |
transcript.pyannote[1412].end |
8649.41346875 |
transcript.pyannote[1413].speaker |
SPEAKER_20 |
transcript.pyannote[1413].start |
8649.91971875 |
transcript.pyannote[1413].end |
8652.80534375 |
transcript.pyannote[1414].speaker |
SPEAKER_20 |
transcript.pyannote[1414].start |
8653.07534375 |
transcript.pyannote[1414].end |
8657.54721875 |
transcript.pyannote[1415].speaker |
SPEAKER_05 |
transcript.pyannote[1415].start |
8658.96471875 |
transcript.pyannote[1415].end |
8658.99846875 |
transcript.pyannote[1416].speaker |
SPEAKER_05 |
transcript.pyannote[1416].start |
8659.28534375 |
transcript.pyannote[1416].end |
8659.45409375 |
transcript.pyannote[1417].speaker |
SPEAKER_05 |
transcript.pyannote[1417].start |
8659.72409375 |
transcript.pyannote[1417].end |
8660.53409375 |
transcript.pyannote[1418].speaker |
SPEAKER_20 |
transcript.pyannote[1418].start |
8660.53409375 |
transcript.pyannote[1418].end |
8664.88784375 |
transcript.pyannote[1419].speaker |
SPEAKER_20 |
transcript.pyannote[1419].start |
8665.14096875 |
transcript.pyannote[1419].end |
8670.27096875 |
transcript.pyannote[1420].speaker |
SPEAKER_20 |
transcript.pyannote[1420].start |
8670.52409375 |
transcript.pyannote[1420].end |
8672.97096875 |
transcript.pyannote[1421].speaker |
SPEAKER_20 |
transcript.pyannote[1421].start |
8673.17346875 |
transcript.pyannote[1421].end |
8677.12221875 |
transcript.pyannote[1422].speaker |
SPEAKER_20 |
transcript.pyannote[1422].start |
8677.39221875 |
transcript.pyannote[1422].end |
8678.48909375 |
transcript.pyannote[1423].speaker |
SPEAKER_20 |
transcript.pyannote[1423].start |
8678.92784375 |
transcript.pyannote[1423].end |
8680.58159375 |
transcript.pyannote[1424].speaker |
SPEAKER_20 |
transcript.pyannote[1424].start |
8681.13846875 |
transcript.pyannote[1424].end |
8684.07471875 |
transcript.pyannote[1425].speaker |
SPEAKER_20 |
transcript.pyannote[1425].start |
8684.49659375 |
transcript.pyannote[1425].end |
8686.55534375 |
transcript.pyannote[1426].speaker |
SPEAKER_20 |
transcript.pyannote[1426].start |
8687.38221875 |
transcript.pyannote[1426].end |
8690.38596875 |
transcript.pyannote[1427].speaker |
SPEAKER_20 |
transcript.pyannote[1427].start |
8691.66846875 |
transcript.pyannote[1427].end |
8692.95096875 |
transcript.pyannote[1428].speaker |
SPEAKER_20 |
transcript.pyannote[1428].start |
8693.42346875 |
transcript.pyannote[1428].end |
8694.57096875 |
transcript.pyannote[1429].speaker |
SPEAKER_05 |
transcript.pyannote[1429].start |
8694.57096875 |
transcript.pyannote[1429].end |
8694.63846875 |
transcript.pyannote[1430].speaker |
SPEAKER_20 |
transcript.pyannote[1430].start |
8694.63846875 |
transcript.pyannote[1430].end |
8699.49846875 |
transcript.pyannote[1431].speaker |
SPEAKER_05 |
transcript.pyannote[1431].start |
8694.67221875 |
transcript.pyannote[1431].end |
8694.85784375 |
transcript.pyannote[1432].speaker |
SPEAKER_02 |
transcript.pyannote[1432].start |
8699.49846875 |
transcript.pyannote[1432].end |
8699.51534375 |
transcript.pyannote[1433].speaker |
SPEAKER_05 |
transcript.pyannote[1433].start |
8699.73471875 |
transcript.pyannote[1433].end |
8703.53159375 |
transcript.pyannote[1434].speaker |
SPEAKER_02 |
transcript.pyannote[1434].start |
8703.80159375 |
transcript.pyannote[1434].end |
8741.11221875 |
transcript.pyannote[1435].speaker |
SPEAKER_20 |
transcript.pyannote[1435].start |
8740.65659375 |
transcript.pyannote[1435].end |
8742.14159375 |
transcript.pyannote[1436].speaker |
SPEAKER_05 |
transcript.pyannote[1436].start |
8743.03596875 |
transcript.pyannote[1436].end |
8743.66034375 |
transcript.pyannote[1437].speaker |
SPEAKER_20 |
transcript.pyannote[1437].start |
8744.13284375 |
transcript.pyannote[1437].end |
8745.71909375 |
transcript.pyannote[1438].speaker |
SPEAKER_05 |
transcript.pyannote[1438].start |
8746.46159375 |
transcript.pyannote[1438].end |
8746.49534375 |
transcript.pyannote[1439].speaker |
SPEAKER_02 |
transcript.pyannote[1439].start |
8746.49534375 |
transcript.pyannote[1439].end |
8746.76534375 |
transcript.pyannote[1440].speaker |
SPEAKER_05 |
transcript.pyannote[1440].start |
8746.76534375 |
transcript.pyannote[1440].end |
8746.78221875 |
transcript.pyannote[1441].speaker |
SPEAKER_02 |
transcript.pyannote[1441].start |
8747.64284375 |
transcript.pyannote[1441].end |
8750.34284375 |
transcript.pyannote[1442].speaker |
SPEAKER_20 |
transcript.pyannote[1442].start |
8750.34284375 |
transcript.pyannote[1442].end |
8750.41034375 |
transcript.pyannote[1443].speaker |
SPEAKER_02 |
transcript.pyannote[1443].start |
8751.38909375 |
transcript.pyannote[1443].end |
8751.96284375 |
transcript.pyannote[1444].speaker |
SPEAKER_20 |
transcript.pyannote[1444].start |
8751.96284375 |
transcript.pyannote[1444].end |
8752.23284375 |
transcript.pyannote[1445].speaker |
SPEAKER_02 |
transcript.pyannote[1445].start |
8752.78971875 |
transcript.pyannote[1445].end |
8752.82346875 |
transcript.pyannote[1446].speaker |
SPEAKER_20 |
transcript.pyannote[1446].start |
8752.82346875 |
transcript.pyannote[1446].end |
8760.40034375 |
transcript.pyannote[1447].speaker |
SPEAKER_02 |
transcript.pyannote[1447].start |
8755.45596875 |
transcript.pyannote[1447].end |
8755.74284375 |
transcript.pyannote[1448].speaker |
SPEAKER_17 |
transcript.pyannote[1448].start |
8755.74284375 |
transcript.pyannote[1448].end |
8755.84409375 |
transcript.pyannote[1449].speaker |
SPEAKER_02 |
transcript.pyannote[1449].start |
8755.84409375 |
transcript.pyannote[1449].end |
8755.96221875 |
transcript.pyannote[1450].speaker |
SPEAKER_17 |
transcript.pyannote[1450].start |
8755.96221875 |
transcript.pyannote[1450].end |
8756.06346875 |
transcript.pyannote[1451].speaker |
SPEAKER_37 |
transcript.pyannote[1451].start |
8756.06346875 |
transcript.pyannote[1451].end |
8756.55284375 |
transcript.pyannote[1452].speaker |
SPEAKER_37 |
transcript.pyannote[1452].start |
8757.32909375 |
transcript.pyannote[1452].end |
8757.78471875 |
transcript.pyannote[1453].speaker |
SPEAKER_20 |
transcript.pyannote[1453].start |
8761.37909375 |
transcript.pyannote[1453].end |
8766.69471875 |
transcript.pyannote[1454].speaker |
SPEAKER_20 |
transcript.pyannote[1454].start |
8766.99846875 |
transcript.pyannote[1454].end |
8769.34409375 |
transcript.pyannote[1455].speaker |
SPEAKER_02 |
transcript.pyannote[1455].start |
8770.08659375 |
transcript.pyannote[1455].end |
8770.82909375 |
transcript.pyannote[1456].speaker |
SPEAKER_02 |
transcript.pyannote[1456].start |
8770.93034375 |
transcript.pyannote[1456].end |
8770.96409375 |
transcript.pyannote[1457].speaker |
SPEAKER_20 |
transcript.pyannote[1457].start |
8770.96409375 |
transcript.pyannote[1457].end |
8771.01471875 |
transcript.pyannote[1458].speaker |
SPEAKER_02 |
transcript.pyannote[1458].start |
8771.01471875 |
transcript.pyannote[1458].end |
8772.97221875 |
transcript.pyannote[1459].speaker |
SPEAKER_20 |
transcript.pyannote[1459].start |
8772.97221875 |
transcript.pyannote[1459].end |
8773.46159375 |
transcript.pyannote[1460].speaker |
SPEAKER_02 |
transcript.pyannote[1460].start |
8773.46159375 |
transcript.pyannote[1460].end |
8773.63034375 |
transcript.pyannote[1461].speaker |
SPEAKER_20 |
transcript.pyannote[1461].start |
8773.63034375 |
transcript.pyannote[1461].end |
8773.66409375 |
transcript.pyannote[1462].speaker |
SPEAKER_02 |
transcript.pyannote[1462].start |
8773.66409375 |
transcript.pyannote[1462].end |
8773.68096875 |
transcript.pyannote[1463].speaker |
SPEAKER_20 |
transcript.pyannote[1463].start |
8773.68096875 |
transcript.pyannote[1463].end |
8773.73159375 |
transcript.pyannote[1464].speaker |
SPEAKER_04 |
transcript.pyannote[1464].start |
8774.35596875 |
transcript.pyannote[1464].end |
8774.44034375 |
transcript.pyannote[1465].speaker |
SPEAKER_02 |
transcript.pyannote[1465].start |
8774.44034375 |
transcript.pyannote[1465].end |
8774.47409375 |
transcript.pyannote[1466].speaker |
SPEAKER_04 |
transcript.pyannote[1466].start |
8774.47409375 |
transcript.pyannote[1466].end |
8774.52471875 |
transcript.pyannote[1467].speaker |
SPEAKER_20 |
transcript.pyannote[1467].start |
8775.95909375 |
transcript.pyannote[1467].end |
8778.20346875 |
transcript.pyannote[1468].speaker |
SPEAKER_20 |
transcript.pyannote[1468].start |
8778.69284375 |
transcript.pyannote[1468].end |
8781.34221875 |
transcript.pyannote[1469].speaker |
SPEAKER_20 |
transcript.pyannote[1469].start |
8782.05096875 |
transcript.pyannote[1469].end |
8783.24909375 |
transcript.pyannote[1470].speaker |
SPEAKER_20 |
transcript.pyannote[1470].start |
8783.60346875 |
transcript.pyannote[1470].end |
8784.93659375 |
transcript.pyannote[1471].speaker |
SPEAKER_20 |
transcript.pyannote[1471].start |
8785.94909375 |
transcript.pyannote[1471].end |
8787.28221875 |
transcript.pyannote[1472].speaker |
SPEAKER_20 |
transcript.pyannote[1472].start |
8787.53534375 |
transcript.pyannote[1472].end |
8791.53471875 |
transcript.pyannote[1473].speaker |
SPEAKER_20 |
transcript.pyannote[1473].start |
8791.77096875 |
transcript.pyannote[1473].end |
8793.88034375 |
transcript.pyannote[1474].speaker |
SPEAKER_20 |
transcript.pyannote[1474].start |
8794.57221875 |
transcript.pyannote[1474].end |
8795.66909375 |
transcript.pyannote[1475].speaker |
SPEAKER_20 |
transcript.pyannote[1475].start |
8796.07409375 |
transcript.pyannote[1475].end |
8797.32284375 |
transcript.pyannote[1476].speaker |
SPEAKER_20 |
transcript.pyannote[1476].start |
8797.87971875 |
transcript.pyannote[1476].end |
8799.44909375 |
transcript.pyannote[1477].speaker |
SPEAKER_20 |
transcript.pyannote[1477].start |
8799.68534375 |
transcript.pyannote[1477].end |
8802.65534375 |
transcript.pyannote[1478].speaker |
SPEAKER_20 |
transcript.pyannote[1478].start |
8803.04346875 |
transcript.pyannote[1478].end |
8805.67596875 |
transcript.pyannote[1479].speaker |
SPEAKER_20 |
transcript.pyannote[1479].start |
8805.91221875 |
transcript.pyannote[1479].end |
8807.14409375 |
transcript.pyannote[1480].speaker |
SPEAKER_20 |
transcript.pyannote[1480].start |
8808.27471875 |
transcript.pyannote[1480].end |
8809.25346875 |
transcript.pyannote[1481].speaker |
SPEAKER_20 |
transcript.pyannote[1481].start |
8809.75971875 |
transcript.pyannote[1481].end |
8813.37096875 |
transcript.pyannote[1482].speaker |
SPEAKER_20 |
transcript.pyannote[1482].start |
8813.89409375 |
transcript.pyannote[1482].end |
8815.15971875 |
transcript.pyannote[1483].speaker |
SPEAKER_20 |
transcript.pyannote[1483].start |
8815.76721875 |
transcript.pyannote[1483].end |
8816.32409375 |
transcript.pyannote[1484].speaker |
SPEAKER_20 |
transcript.pyannote[1484].start |
8817.47159375 |
transcript.pyannote[1484].end |
8818.73721875 |
transcript.pyannote[1485].speaker |
SPEAKER_20 |
transcript.pyannote[1485].start |
8819.86784375 |
transcript.pyannote[1485].end |
8820.99846875 |
transcript.pyannote[1486].speaker |
SPEAKER_20 |
transcript.pyannote[1486].start |
8821.48784375 |
transcript.pyannote[1486].end |
8822.02784375 |
transcript.pyannote[1487].speaker |
SPEAKER_20 |
transcript.pyannote[1487].start |
8822.66909375 |
transcript.pyannote[1487].end |
8823.54659375 |
transcript.pyannote[1488].speaker |
SPEAKER_20 |
transcript.pyannote[1488].start |
8824.01909375 |
transcript.pyannote[1488].end |
8825.26784375 |
transcript.pyannote[1489].speaker |
SPEAKER_20 |
transcript.pyannote[1489].start |
8825.85846875 |
transcript.pyannote[1489].end |
8828.91284375 |
transcript.pyannote[1490].speaker |
SPEAKER_20 |
transcript.pyannote[1490].start |
8829.43596875 |
transcript.pyannote[1490].end |
8832.03471875 |
transcript.pyannote[1491].speaker |
SPEAKER_20 |
transcript.pyannote[1491].start |
8832.57471875 |
transcript.pyannote[1491].end |
8836.97909375 |
transcript.pyannote[1492].speaker |
SPEAKER_20 |
transcript.pyannote[1492].start |
8837.31659375 |
transcript.pyannote[1492].end |
8839.54409375 |
transcript.pyannote[1493].speaker |
SPEAKER_20 |
transcript.pyannote[1493].start |
8839.96596875 |
transcript.pyannote[1493].end |
8841.46784375 |
transcript.pyannote[1494].speaker |
SPEAKER_20 |
transcript.pyannote[1494].start |
8841.95721875 |
transcript.pyannote[1494].end |
8845.36596875 |
transcript.pyannote[1495].speaker |
SPEAKER_20 |
transcript.pyannote[1495].start |
8845.83846875 |
transcript.pyannote[1495].end |
8848.72409375 |
transcript.pyannote[1496].speaker |
SPEAKER_20 |
transcript.pyannote[1496].start |
8849.21346875 |
transcript.pyannote[1496].end |
8853.38159375 |
transcript.pyannote[1497].speaker |
SPEAKER_05 |
transcript.pyannote[1497].start |
8855.49096875 |
transcript.pyannote[1497].end |
8855.59221875 |
transcript.pyannote[1498].speaker |
SPEAKER_05 |
transcript.pyannote[1498].start |
8856.21659375 |
transcript.pyannote[1498].end |
8859.62534375 |
transcript.pyannote[1499].speaker |
SPEAKER_02 |
transcript.pyannote[1499].start |
8860.14846875 |
transcript.pyannote[1499].end |
8881.96784375 |
transcript.pyannote[1500].speaker |
SPEAKER_20 |
transcript.pyannote[1500].start |
8881.96784375 |
transcript.pyannote[1500].end |
8891.99159375 |
transcript.pyannote[1501].speaker |
SPEAKER_02 |
transcript.pyannote[1501].start |
8882.10284375 |
transcript.pyannote[1501].end |
8882.64284375 |
transcript.pyannote[1502].speaker |
SPEAKER_20 |
transcript.pyannote[1502].start |
8892.34596875 |
transcript.pyannote[1502].end |
8899.12971875 |
transcript.pyannote[1503].speaker |
SPEAKER_20 |
transcript.pyannote[1503].start |
8899.83846875 |
transcript.pyannote[1503].end |
8908.29284375 |
transcript.pyannote[1504].speaker |
SPEAKER_20 |
transcript.pyannote[1504].start |
8908.41096875 |
transcript.pyannote[1504].end |
8908.98471875 |
transcript.pyannote[1505].speaker |
SPEAKER_20 |
transcript.pyannote[1505].start |
8910.99284375 |
transcript.pyannote[1505].end |
8917.16909375 |
transcript.pyannote[1506].speaker |
SPEAKER_20 |
transcript.pyannote[1506].start |
8917.48971875 |
transcript.pyannote[1506].end |
8918.73846875 |
transcript.pyannote[1507].speaker |
SPEAKER_20 |
transcript.pyannote[1507].start |
8919.02534375 |
transcript.pyannote[1507].end |
8925.08346875 |
transcript.pyannote[1508].speaker |
SPEAKER_20 |
transcript.pyannote[1508].start |
8925.43784375 |
transcript.pyannote[1508].end |
8926.72034375 |
transcript.pyannote[1509].speaker |
SPEAKER_20 |
transcript.pyannote[1509].start |
8927.15909375 |
transcript.pyannote[1509].end |
8928.10409375 |
transcript.pyannote[1510].speaker |
SPEAKER_20 |
transcript.pyannote[1510].start |
8928.77909375 |
transcript.pyannote[1510].end |
8932.62659375 |
transcript.pyannote[1511].speaker |
SPEAKER_20 |
transcript.pyannote[1511].start |
8933.06534375 |
transcript.pyannote[1511].end |
8935.79909375 |
transcript.pyannote[1512].speaker |
SPEAKER_20 |
transcript.pyannote[1512].start |
8935.95096875 |
transcript.pyannote[1512].end |
8937.57096875 |
transcript.pyannote[1513].speaker |
SPEAKER_20 |
transcript.pyannote[1513].start |
8938.39784375 |
transcript.pyannote[1513].end |
8940.49034375 |
transcript.pyannote[1514].speaker |
SPEAKER_20 |
transcript.pyannote[1514].start |
8940.57471875 |
transcript.pyannote[1514].end |
8943.47721875 |
transcript.pyannote[1515].speaker |
SPEAKER_05 |
transcript.pyannote[1515].start |
8943.47721875 |
transcript.pyannote[1515].end |
8944.99596875 |
transcript.pyannote[1516].speaker |
SPEAKER_02 |
transcript.pyannote[1516].start |
8944.99596875 |
transcript.pyannote[1516].end |
8945.02971875 |
transcript.pyannote[1517].speaker |
SPEAKER_05 |
transcript.pyannote[1517].start |
8945.02971875 |
transcript.pyannote[1517].end |
8945.90721875 |
transcript.pyannote[1518].speaker |
SPEAKER_02 |
transcript.pyannote[1518].start |
8946.43034375 |
transcript.pyannote[1518].end |
8965.90409375 |
transcript.pyannote[1519].speaker |
SPEAKER_20 |
transcript.pyannote[1519].start |
8964.33471875 |
transcript.pyannote[1519].end |
8969.02596875 |
transcript.pyannote[1520].speaker |
SPEAKER_20 |
transcript.pyannote[1520].start |
8969.61659375 |
transcript.pyannote[1520].end |
8972.45159375 |
transcript.pyannote[1521].speaker |
SPEAKER_20 |
transcript.pyannote[1521].start |
8973.00846875 |
transcript.pyannote[1521].end |
8979.25221875 |
transcript.pyannote[1522].speaker |
SPEAKER_20 |
transcript.pyannote[1522].start |
8979.79221875 |
transcript.pyannote[1522].end |
8981.04096875 |
transcript.pyannote[1523].speaker |
SPEAKER_20 |
transcript.pyannote[1523].start |
8981.14221875 |
transcript.pyannote[1523].end |
8985.64784375 |
transcript.pyannote[1524].speaker |
SPEAKER_20 |
transcript.pyannote[1524].start |
8985.96846875 |
transcript.pyannote[1524].end |
8992.22909375 |
transcript.pyannote[1525].speaker |
SPEAKER_20 |
transcript.pyannote[1525].start |
8992.54971875 |
transcript.pyannote[1525].end |
8997.10596875 |
transcript.pyannote[1526].speaker |
SPEAKER_20 |
transcript.pyannote[1526].start |
8997.42659375 |
transcript.pyannote[1526].end |
8998.59096875 |
transcript.pyannote[1527].speaker |
SPEAKER_20 |
transcript.pyannote[1527].start |
8998.94534375 |
transcript.pyannote[1527].end |
9007.75409375 |
transcript.pyannote[1528].speaker |
SPEAKER_20 |
transcript.pyannote[1528].start |
9008.09159375 |
transcript.pyannote[1528].end |
9016.32659375 |
transcript.pyannote[1529].speaker |
SPEAKER_20 |
transcript.pyannote[1529].start |
9017.18721875 |
transcript.pyannote[1529].end |
9020.37659375 |
transcript.pyannote[1530].speaker |
SPEAKER_20 |
transcript.pyannote[1530].start |
9020.89971875 |
transcript.pyannote[1530].end |
9023.41409375 |
transcript.pyannote[1531].speaker |
SPEAKER_20 |
transcript.pyannote[1531].start |
9023.61659375 |
transcript.pyannote[1531].end |
9025.64159375 |
transcript.pyannote[1532].speaker |
SPEAKER_20 |
transcript.pyannote[1532].start |
9025.70909375 |
transcript.pyannote[1532].end |
9027.56534375 |
transcript.pyannote[1533].speaker |
SPEAKER_20 |
transcript.pyannote[1533].start |
9027.97034375 |
transcript.pyannote[1533].end |
9032.61096875 |
transcript.pyannote[1534].speaker |
SPEAKER_02 |
transcript.pyannote[1534].start |
9034.31534375 |
transcript.pyannote[1534].end |
9041.94284375 |
transcript.pyannote[1535].speaker |
SPEAKER_20 |
transcript.pyannote[1535].start |
9039.76596875 |
transcript.pyannote[1535].end |
9040.18784375 |
transcript.pyannote[1536].speaker |
SPEAKER_20 |
transcript.pyannote[1536].start |
9041.94284375 |
transcript.pyannote[1536].end |
9041.95971875 |
transcript.pyannote[1537].speaker |
SPEAKER_02 |
transcript.pyannote[1537].start |
9042.34784375 |
transcript.pyannote[1537].end |
9050.95409375 |
transcript.pyannote[1538].speaker |
SPEAKER_02 |
transcript.pyannote[1538].start |
9051.19034375 |
transcript.pyannote[1538].end |
9053.51909375 |
transcript.pyannote[1539].speaker |
SPEAKER_20 |
transcript.pyannote[1539].start |
9053.78909375 |
transcript.pyannote[1539].end |
9058.49721875 |
transcript.pyannote[1540].speaker |
SPEAKER_20 |
transcript.pyannote[1540].start |
9059.49284375 |
transcript.pyannote[1540].end |
9064.63971875 |
transcript.pyannote[1541].speaker |
SPEAKER_20 |
transcript.pyannote[1541].start |
9065.09534375 |
transcript.pyannote[1541].end |
9072.46971875 |
transcript.pyannote[1542].speaker |
SPEAKER_20 |
transcript.pyannote[1542].start |
9072.94221875 |
transcript.pyannote[1542].end |
9077.38034375 |
transcript.pyannote[1543].speaker |
SPEAKER_04 |
transcript.pyannote[1543].start |
9077.46471875 |
transcript.pyannote[1543].end |
9077.75159375 |
transcript.pyannote[1544].speaker |
SPEAKER_20 |
transcript.pyannote[1544].start |
9078.13971875 |
transcript.pyannote[1544].end |
9078.74721875 |
transcript.pyannote[1545].speaker |
SPEAKER_04 |
transcript.pyannote[1545].start |
9078.46034375 |
transcript.pyannote[1545].end |
9079.37159375 |
transcript.pyannote[1546].speaker |
SPEAKER_20 |
transcript.pyannote[1546].start |
9081.88596875 |
transcript.pyannote[1546].end |
9082.03784375 |
transcript.pyannote[1547].speaker |
SPEAKER_14 |
transcript.pyannote[1547].start |
9082.03784375 |
transcript.pyannote[1547].end |
9083.21909375 |
transcript.pyannote[1548].speaker |
SPEAKER_14 |
transcript.pyannote[1548].start |
9085.14284375 |
transcript.pyannote[1548].end |
9086.02034375 |
transcript.pyannote[1549].speaker |
SPEAKER_14 |
transcript.pyannote[1549].start |
9086.40846875 |
transcript.pyannote[1549].end |
9087.84284375 |
transcript.pyannote[1550].speaker |
SPEAKER_24 |
transcript.pyannote[1550].start |
9097.95096875 |
transcript.pyannote[1550].end |
9100.68471875 |
transcript.pyannote[1551].speaker |
SPEAKER_24 |
transcript.pyannote[1551].start |
9100.87034375 |
transcript.pyannote[1551].end |
9101.47784375 |
transcript.pyannote[1552].speaker |
SPEAKER_25 |
transcript.pyannote[1552].start |
9101.47784375 |
transcript.pyannote[1552].end |
9101.49471875 |
transcript.pyannote[1553].speaker |
SPEAKER_25 |
transcript.pyannote[1553].start |
9104.73471875 |
transcript.pyannote[1553].end |
9107.94096875 |
transcript.pyannote[1554].speaker |
SPEAKER_24 |
transcript.pyannote[1554].start |
9108.68346875 |
transcript.pyannote[1554].end |
9108.93659375 |
transcript.pyannote[1555].speaker |
SPEAKER_25 |
transcript.pyannote[1555].start |
9108.93659375 |
transcript.pyannote[1555].end |
9108.97034375 |
transcript.pyannote[1556].speaker |
SPEAKER_24 |
transcript.pyannote[1556].start |
9108.97034375 |
transcript.pyannote[1556].end |
9109.37534375 |
transcript.pyannote[1557].speaker |
SPEAKER_14 |
transcript.pyannote[1557].start |
9109.37534375 |
transcript.pyannote[1557].end |
9109.45971875 |
transcript.pyannote[1558].speaker |
SPEAKER_24 |
transcript.pyannote[1558].start |
9109.45971875 |
transcript.pyannote[1558].end |
9135.56534375 |
transcript.pyannote[1559].speaker |
SPEAKER_25 |
transcript.pyannote[1559].start |
9110.13471875 |
transcript.pyannote[1559].end |
9110.67471875 |
transcript.pyannote[1560].speaker |
SPEAKER_24 |
transcript.pyannote[1560].start |
9136.12221875 |
transcript.pyannote[1560].end |
9148.06971875 |
transcript.pyannote[1561].speaker |
SPEAKER_05 |
transcript.pyannote[1561].start |
9149.62221875 |
transcript.pyannote[1561].end |
9150.33096875 |
transcript.pyannote[1562].speaker |
SPEAKER_05 |
transcript.pyannote[1562].start |
9150.92159375 |
transcript.pyannote[1562].end |
9161.82284375 |
transcript.pyannote[1563].speaker |
SPEAKER_05 |
transcript.pyannote[1563].start |
9161.97471875 |
transcript.pyannote[1563].end |
9164.84346875 |
transcript.pyannote[1564].speaker |
SPEAKER_05 |
transcript.pyannote[1564].start |
9165.01221875 |
transcript.pyannote[1564].end |
9166.31159375 |
transcript.pyannote[1565].speaker |
SPEAKER_24 |
transcript.pyannote[1565].start |
9166.15971875 |
transcript.pyannote[1565].end |
9177.34784375 |
transcript.pyannote[1566].speaker |
SPEAKER_24 |
transcript.pyannote[1566].start |
9178.47846875 |
transcript.pyannote[1566].end |
9192.01221875 |
transcript.pyannote[1567].speaker |
SPEAKER_24 |
transcript.pyannote[1567].start |
9192.24846875 |
transcript.pyannote[1567].end |
9194.93159375 |
transcript.pyannote[1568].speaker |
SPEAKER_38 |
transcript.pyannote[1568].start |
9195.04971875 |
transcript.pyannote[1568].end |
9195.23534375 |
transcript.pyannote[1569].speaker |
SPEAKER_24 |
transcript.pyannote[1569].start |
9195.40409375 |
transcript.pyannote[1569].end |
9197.74971875 |
transcript.pyannote[1570].speaker |
SPEAKER_24 |
transcript.pyannote[1570].start |
9198.39096875 |
transcript.pyannote[1570].end |
9204.17909375 |
transcript.pyannote[1571].speaker |
SPEAKER_24 |
transcript.pyannote[1571].start |
9204.21284375 |
transcript.pyannote[1571].end |
9207.94221875 |
transcript.pyannote[1572].speaker |
SPEAKER_24 |
transcript.pyannote[1572].start |
9208.24596875 |
transcript.pyannote[1572].end |
9210.47346875 |
transcript.pyannote[1573].speaker |
SPEAKER_24 |
transcript.pyannote[1573].start |
9210.92909375 |
transcript.pyannote[1573].end |
9212.86971875 |
transcript.pyannote[1574].speaker |
SPEAKER_24 |
transcript.pyannote[1574].start |
9213.29159375 |
transcript.pyannote[1574].end |
9215.77221875 |
transcript.pyannote[1575].speaker |
SPEAKER_05 |
transcript.pyannote[1575].start |
9216.34596875 |
transcript.pyannote[1575].end |
9233.60909375 |
transcript.pyannote[1576].speaker |
SPEAKER_05 |
transcript.pyannote[1576].start |
9233.74409375 |
transcript.pyannote[1576].end |
9237.32159375 |
transcript.pyannote[1577].speaker |
SPEAKER_24 |
transcript.pyannote[1577].start |
9236.69721875 |
transcript.pyannote[1577].end |
9237.18659375 |
transcript.pyannote[1578].speaker |
SPEAKER_24 |
transcript.pyannote[1578].start |
9237.32159375 |
transcript.pyannote[1578].end |
9237.33846875 |
transcript.pyannote[1579].speaker |
SPEAKER_05 |
transcript.pyannote[1579].start |
9237.33846875 |
transcript.pyannote[1579].end |
9237.96284375 |
transcript.pyannote[1580].speaker |
SPEAKER_24 |
transcript.pyannote[1580].start |
9237.96284375 |
transcript.pyannote[1580].end |
9239.26221875 |
transcript.pyannote[1581].speaker |
SPEAKER_24 |
transcript.pyannote[1581].start |
9239.61659375 |
transcript.pyannote[1581].end |
9239.75159375 |
transcript.pyannote[1582].speaker |
SPEAKER_05 |
transcript.pyannote[1582].start |
9239.75159375 |
transcript.pyannote[1582].end |
9239.80221875 |
transcript.pyannote[1583].speaker |
SPEAKER_24 |
transcript.pyannote[1583].start |
9239.80221875 |
transcript.pyannote[1583].end |
9241.97909375 |
transcript.pyannote[1584].speaker |
SPEAKER_05 |
transcript.pyannote[1584].start |
9239.81909375 |
transcript.pyannote[1584].end |
9240.03846875 |
transcript.pyannote[1585].speaker |
SPEAKER_05 |
transcript.pyannote[1585].start |
9242.13096875 |
transcript.pyannote[1585].end |
9250.45034375 |
transcript.pyannote[1586].speaker |
SPEAKER_24 |
transcript.pyannote[1586].start |
9243.68346875 |
transcript.pyannote[1586].end |
9245.79284375 |
transcript.pyannote[1587].speaker |
SPEAKER_24 |
transcript.pyannote[1587].start |
9250.45034375 |
transcript.pyannote[1587].end |
9257.89221875 |
transcript.pyannote[1588].speaker |
SPEAKER_24 |
transcript.pyannote[1588].start |
9258.39846875 |
transcript.pyannote[1588].end |
9259.00596875 |
transcript.pyannote[1589].speaker |
SPEAKER_24 |
transcript.pyannote[1589].start |
9259.39409375 |
transcript.pyannote[1589].end |
9264.23721875 |
transcript.pyannote[1590].speaker |
SPEAKER_24 |
transcript.pyannote[1590].start |
9264.40596875 |
transcript.pyannote[1590].end |
9270.29534375 |
transcript.pyannote[1591].speaker |
SPEAKER_05 |
transcript.pyannote[1591].start |
9270.16034375 |
transcript.pyannote[1591].end |
9288.97596875 |
transcript.pyannote[1592].speaker |
SPEAKER_24 |
transcript.pyannote[1592].start |
9287.37284375 |
transcript.pyannote[1592].end |
9287.49096875 |
transcript.pyannote[1593].speaker |
SPEAKER_24 |
transcript.pyannote[1593].start |
9287.71034375 |
transcript.pyannote[1593].end |
9287.91284375 |
transcript.pyannote[1594].speaker |
SPEAKER_24 |
transcript.pyannote[1594].start |
9288.38534375 |
transcript.pyannote[1594].end |
9288.84096875 |
transcript.pyannote[1595].speaker |
SPEAKER_05 |
transcript.pyannote[1595].start |
9289.26284375 |
transcript.pyannote[1595].end |
9291.59159375 |
transcript.pyannote[1596].speaker |
SPEAKER_05 |
transcript.pyannote[1596].start |
9291.62534375 |
transcript.pyannote[1596].end |
9293.39721875 |
transcript.pyannote[1597].speaker |
SPEAKER_05 |
transcript.pyannote[1597].start |
9293.43096875 |
transcript.pyannote[1597].end |
9293.56596875 |
transcript.pyannote[1598].speaker |
SPEAKER_24 |
transcript.pyannote[1598].start |
9293.56596875 |
transcript.pyannote[1598].end |
9305.42909375 |
transcript.pyannote[1599].speaker |
SPEAKER_24 |
transcript.pyannote[1599].start |
9305.61471875 |
transcript.pyannote[1599].end |
9308.95596875 |
transcript.pyannote[1600].speaker |
SPEAKER_05 |
transcript.pyannote[1600].start |
9309.41159375 |
transcript.pyannote[1600].end |
9315.04784375 |
transcript.pyannote[1601].speaker |
SPEAKER_05 |
transcript.pyannote[1601].start |
9315.89159375 |
transcript.pyannote[1601].end |
9333.23909375 |
transcript.pyannote[1602].speaker |
SPEAKER_24 |
transcript.pyannote[1602].start |
9333.23909375 |
transcript.pyannote[1602].end |
9346.19909375 |
transcript.pyannote[1603].speaker |
SPEAKER_05 |
transcript.pyannote[1603].start |
9335.23034375 |
transcript.pyannote[1603].end |
9335.90534375 |
transcript.pyannote[1604].speaker |
SPEAKER_38 |
transcript.pyannote[1604].start |
9345.55784375 |
transcript.pyannote[1604].end |
9345.74346875 |
transcript.pyannote[1605].speaker |
SPEAKER_24 |
transcript.pyannote[1605].start |
9346.51971875 |
transcript.pyannote[1605].end |
9355.19346875 |
transcript.pyannote[1606].speaker |
SPEAKER_05 |
transcript.pyannote[1606].start |
9351.51471875 |
transcript.pyannote[1606].end |
9353.13471875 |
transcript.pyannote[1607].speaker |
SPEAKER_05 |
transcript.pyannote[1607].start |
9354.02909375 |
transcript.pyannote[1607].end |
9355.17659375 |
transcript.pyannote[1608].speaker |
SPEAKER_05 |
transcript.pyannote[1608].start |
9355.19346875 |
transcript.pyannote[1608].end |
9385.55159375 |
transcript.pyannote[1609].speaker |
SPEAKER_24 |
transcript.pyannote[1609].start |
9384.53909375 |
transcript.pyannote[1609].end |
9394.96784375 |
transcript.pyannote[1610].speaker |
SPEAKER_05 |
transcript.pyannote[1610].start |
9385.95659375 |
transcript.pyannote[1610].end |
9387.18846875 |
transcript.pyannote[1611].speaker |
SPEAKER_21 |
transcript.pyannote[1611].start |
9390.86721875 |
transcript.pyannote[1611].end |
9391.08659375 |
transcript.pyannote[1612].speaker |
SPEAKER_24 |
transcript.pyannote[1612].start |
9395.17034375 |
transcript.pyannote[1612].end |
9396.33471875 |
transcript.pyannote[1613].speaker |
SPEAKER_24 |
transcript.pyannote[1613].start |
9396.58784375 |
transcript.pyannote[1613].end |
9399.27096875 |
transcript.pyannote[1614].speaker |
SPEAKER_24 |
transcript.pyannote[1614].start |
9399.32159375 |
transcript.pyannote[1614].end |
9400.11471875 |
transcript.pyannote[1615].speaker |
SPEAKER_05 |
transcript.pyannote[1615].start |
9399.42284375 |
transcript.pyannote[1615].end |
9403.65846875 |
transcript.pyannote[1616].speaker |
SPEAKER_24 |
transcript.pyannote[1616].start |
9402.66284375 |
transcript.pyannote[1616].end |
9413.85096875 |
transcript.pyannote[1617].speaker |
SPEAKER_24 |
transcript.pyannote[1617].start |
9414.07034375 |
transcript.pyannote[1617].end |
9415.50471875 |
transcript.pyannote[1618].speaker |
SPEAKER_24 |
transcript.pyannote[1618].start |
9415.84221875 |
transcript.pyannote[1618].end |
9416.73659375 |
transcript.pyannote[1619].speaker |
SPEAKER_24 |
transcript.pyannote[1619].start |
9417.47909375 |
transcript.pyannote[1619].end |
9419.67284375 |
transcript.pyannote[1620].speaker |
SPEAKER_24 |
transcript.pyannote[1620].start |
9419.82471875 |
transcript.pyannote[1620].end |
9425.10659375 |
transcript.pyannote[1621].speaker |
SPEAKER_24 |
transcript.pyannote[1621].start |
9425.39346875 |
transcript.pyannote[1621].end |
9439.68659375 |
transcript.pyannote[1622].speaker |
SPEAKER_24 |
transcript.pyannote[1622].start |
9440.96909375 |
transcript.pyannote[1622].end |
9454.68846875 |
transcript.pyannote[1623].speaker |
SPEAKER_24 |
transcript.pyannote[1623].start |
9454.89096875 |
transcript.pyannote[1623].end |
9459.48096875 |
transcript.pyannote[1624].speaker |
SPEAKER_24 |
transcript.pyannote[1624].start |
9459.59909375 |
transcript.pyannote[1624].end |
9462.94034375 |
transcript.pyannote[1625].speaker |
SPEAKER_24 |
transcript.pyannote[1625].start |
9463.19346875 |
transcript.pyannote[1625].end |
9464.66159375 |
transcript.pyannote[1626].speaker |
SPEAKER_24 |
transcript.pyannote[1626].start |
9465.52221875 |
transcript.pyannote[1626].end |
9467.04096875 |
transcript.pyannote[1627].speaker |
SPEAKER_05 |
transcript.pyannote[1627].start |
9468.03659375 |
transcript.pyannote[1627].end |
9477.03096875 |
transcript.pyannote[1628].speaker |
SPEAKER_05 |
transcript.pyannote[1628].start |
9477.18284375 |
transcript.pyannote[1628].end |
9477.97596875 |
transcript.pyannote[1629].speaker |
SPEAKER_24 |
transcript.pyannote[1629].start |
9477.97596875 |
transcript.pyannote[1629].end |
9483.34221875 |
transcript.pyannote[1630].speaker |
SPEAKER_05 |
transcript.pyannote[1630].start |
9483.34221875 |
transcript.pyannote[1630].end |
9484.50659375 |
transcript.pyannote[1631].speaker |
SPEAKER_05 |
transcript.pyannote[1631].start |
9484.96221875 |
transcript.pyannote[1631].end |
9489.61971875 |
transcript.pyannote[1632].speaker |
SPEAKER_24 |
transcript.pyannote[1632].start |
9489.04596875 |
transcript.pyannote[1632].end |
9509.32971875 |
transcript.pyannote[1633].speaker |
SPEAKER_05 |
transcript.pyannote[1633].start |
9507.67596875 |
transcript.pyannote[1633].end |
9507.72659375 |
transcript.pyannote[1634].speaker |
SPEAKER_05 |
transcript.pyannote[1634].start |
9507.77721875 |
transcript.pyannote[1634].end |
9507.91221875 |
transcript.pyannote[1635].speaker |
SPEAKER_05 |
transcript.pyannote[1635].start |
9509.32971875 |
transcript.pyannote[1635].end |
9511.62471875 |
transcript.pyannote[1636].speaker |
SPEAKER_05 |
transcript.pyannote[1636].start |
9511.86096875 |
transcript.pyannote[1636].end |
9512.97471875 |
transcript.pyannote[1637].speaker |
SPEAKER_24 |
transcript.pyannote[1637].start |
9511.91159375 |
transcript.pyannote[1637].end |
9515.89409375 |
transcript.pyannote[1638].speaker |
SPEAKER_05 |
transcript.pyannote[1638].start |
9513.63284375 |
transcript.pyannote[1638].end |
9515.86034375 |
transcript.pyannote[1639].speaker |
SPEAKER_05 |
transcript.pyannote[1639].start |
9515.89409375 |
transcript.pyannote[1639].end |
9522.18846875 |
transcript.pyannote[1640].speaker |
SPEAKER_24 |
transcript.pyannote[1640].start |
9519.65721875 |
transcript.pyannote[1640].end |
9520.50096875 |
transcript.pyannote[1641].speaker |
SPEAKER_04 |
transcript.pyannote[1641].start |
9520.50096875 |
transcript.pyannote[1641].end |
9520.97346875 |
transcript.pyannote[1642].speaker |
SPEAKER_04 |
transcript.pyannote[1642].start |
9522.18846875 |
transcript.pyannote[1642].end |
9522.40784375 |
transcript.pyannote[1643].speaker |
SPEAKER_05 |
transcript.pyannote[1643].start |
9522.77909375 |
transcript.pyannote[1643].end |
9550.03221875 |
transcript.pyannote[1644].speaker |
SPEAKER_04 |
transcript.pyannote[1644].start |
9522.93096875 |
transcript.pyannote[1644].end |
9524.02784375 |
transcript.pyannote[1645].speaker |
SPEAKER_24 |
transcript.pyannote[1645].start |
9524.02784375 |
transcript.pyannote[1645].end |
9524.26409375 |
transcript.pyannote[1646].speaker |
SPEAKER_04 |
transcript.pyannote[1646].start |
9524.26409375 |
transcript.pyannote[1646].end |
9524.41596875 |
transcript.pyannote[1647].speaker |
SPEAKER_24 |
transcript.pyannote[1647].start |
9549.49221875 |
transcript.pyannote[1647].end |
9550.97721875 |
transcript.pyannote[1648].speaker |
SPEAKER_24 |
transcript.pyannote[1648].start |
9551.16284375 |
transcript.pyannote[1648].end |
9552.25971875 |
transcript.pyannote[1649].speaker |
SPEAKER_05 |
transcript.pyannote[1649].start |
9551.53409375 |
transcript.pyannote[1649].end |
9551.61846875 |
transcript.pyannote[1650].speaker |
SPEAKER_05 |
transcript.pyannote[1650].start |
9552.25971875 |
transcript.pyannote[1650].end |
9554.77409375 |
transcript.pyannote[1651].speaker |
SPEAKER_24 |
transcript.pyannote[1651].start |
9554.90909375 |
transcript.pyannote[1651].end |
9575.02409375 |
transcript.pyannote[1652].speaker |
SPEAKER_24 |
transcript.pyannote[1652].start |
9575.05784375 |
transcript.pyannote[1652].end |
9576.42471875 |
transcript.pyannote[1653].speaker |
SPEAKER_24 |
transcript.pyannote[1653].start |
9576.89721875 |
transcript.pyannote[1653].end |
9580.55909375 |
transcript.pyannote[1654].speaker |
SPEAKER_24 |
transcript.pyannote[1654].start |
9580.60971875 |
transcript.pyannote[1654].end |
9586.31346875 |
transcript.pyannote[1655].speaker |
SPEAKER_24 |
transcript.pyannote[1655].start |
9586.41471875 |
transcript.pyannote[1655].end |
9587.25846875 |
transcript.pyannote[1656].speaker |
SPEAKER_24 |
transcript.pyannote[1656].start |
9587.59596875 |
transcript.pyannote[1656].end |
9590.21159375 |
transcript.pyannote[1657].speaker |
SPEAKER_05 |
transcript.pyannote[1657].start |
9590.21159375 |
transcript.pyannote[1657].end |
9590.22846875 |
transcript.pyannote[1658].speaker |
SPEAKER_24 |
transcript.pyannote[1658].start |
9590.65034375 |
transcript.pyannote[1658].end |
9592.03409375 |
transcript.pyannote[1659].speaker |
SPEAKER_05 |
transcript.pyannote[1659].start |
9592.03409375 |
transcript.pyannote[1659].end |
9592.32096875 |
transcript.pyannote[1660].speaker |
SPEAKER_05 |
transcript.pyannote[1660].start |
9593.33346875 |
transcript.pyannote[1660].end |
9594.04221875 |
transcript.pyannote[1661].speaker |
SPEAKER_05 |
transcript.pyannote[1661].start |
9594.64971875 |
transcript.pyannote[1661].end |
9601.97346875 |
transcript.pyannote[1662].speaker |
SPEAKER_24 |
transcript.pyannote[1662].start |
9601.97346875 |
transcript.pyannote[1662].end |
9602.07471875 |
transcript.pyannote[1663].speaker |
SPEAKER_05 |
transcript.pyannote[1663].start |
9602.07471875 |
transcript.pyannote[1663].end |
9602.29409375 |
transcript.pyannote[1664].speaker |
SPEAKER_24 |
transcript.pyannote[1664].start |
9602.29409375 |
transcript.pyannote[1664].end |
9602.32784375 |
transcript.pyannote[1665].speaker |
SPEAKER_05 |
transcript.pyannote[1665].start |
9602.93534375 |
transcript.pyannote[1665].end |
9605.29784375 |
transcript.pyannote[1666].speaker |
SPEAKER_24 |
transcript.pyannote[1666].start |
9605.29784375 |
transcript.pyannote[1666].end |
9606.37784375 |
transcript.pyannote[1667].speaker |
SPEAKER_23 |
transcript.pyannote[1667].start |
9606.68159375 |
transcript.pyannote[1667].end |
9617.46471875 |
transcript.pyannote[1668].speaker |
SPEAKER_24 |
transcript.pyannote[1668].start |
9616.99221875 |
transcript.pyannote[1668].end |
9618.76409375 |
transcript.pyannote[1669].speaker |
SPEAKER_23 |
transcript.pyannote[1669].start |
9618.17346875 |
transcript.pyannote[1669].end |
9635.18346875 |
transcript.pyannote[1670].speaker |
SPEAKER_24 |
transcript.pyannote[1670].start |
9635.18346875 |
transcript.pyannote[1670].end |
9656.37846875 |
transcript.pyannote[1671].speaker |
SPEAKER_24 |
transcript.pyannote[1671].start |
9657.00284375 |
transcript.pyannote[1671].end |
9666.55409375 |
transcript.pyannote[1672].speaker |
SPEAKER_24 |
transcript.pyannote[1672].start |
9667.27971875 |
transcript.pyannote[1672].end |
9669.03471875 |
transcript.pyannote[1673].speaker |
SPEAKER_14 |
transcript.pyannote[1673].start |
9672.34221875 |
transcript.pyannote[1673].end |
9673.74284375 |
transcript.pyannote[1674].speaker |
SPEAKER_14 |
transcript.pyannote[1674].start |
9674.02971875 |
transcript.pyannote[1674].end |
9675.04221875 |
transcript.pyannote[1675].speaker |
SPEAKER_11 |
transcript.pyannote[1675].start |
10271.57346875 |
transcript.pyannote[1675].end |
10272.02909375 |
transcript.pyannote[1676].speaker |
SPEAKER_14 |
transcript.pyannote[1676].start |
10272.97409375 |
transcript.pyannote[1676].end |
10273.46346875 |
transcript.pyannote[1677].speaker |
SPEAKER_14 |
transcript.pyannote[1677].start |
10275.85971875 |
transcript.pyannote[1677].end |
10276.88909375 |
transcript.pyannote[1678].speaker |
SPEAKER_14 |
transcript.pyannote[1678].start |
10277.29409375 |
transcript.pyannote[1678].end |
10279.18409375 |
transcript.pyannote[1679].speaker |
SPEAKER_01 |
transcript.pyannote[1679].start |
10287.97596875 |
transcript.pyannote[1679].end |
10290.45659375 |
transcript.pyannote[1680].speaker |
SPEAKER_01 |
transcript.pyannote[1680].start |
10291.82346875 |
transcript.pyannote[1680].end |
10298.89409375 |
transcript.pyannote[1681].speaker |
SPEAKER_14 |
transcript.pyannote[1681].start |
10300.10909375 |
transcript.pyannote[1681].end |
10302.97784375 |
transcript.pyannote[1682].speaker |
SPEAKER_01 |
transcript.pyannote[1682].start |
10302.42096875 |
transcript.pyannote[1682].end |
10303.99034375 |
transcript.pyannote[1683].speaker |
SPEAKER_01 |
transcript.pyannote[1683].start |
10304.86784375 |
transcript.pyannote[1683].end |
10312.71471875 |
transcript.pyannote[1684].speaker |
SPEAKER_38 |
transcript.pyannote[1684].start |
10312.57971875 |
transcript.pyannote[1684].end |
10312.59659375 |
transcript.pyannote[1685].speaker |
SPEAKER_38 |
transcript.pyannote[1685].start |
10312.66409375 |
transcript.pyannote[1685].end |
10312.69784375 |
transcript.pyannote[1686].speaker |
SPEAKER_38 |
transcript.pyannote[1686].start |
10312.71471875 |
transcript.pyannote[1686].end |
10313.99721875 |
transcript.pyannote[1687].speaker |
SPEAKER_01 |
transcript.pyannote[1687].start |
10314.21659375 |
transcript.pyannote[1687].end |
10319.26221875 |
transcript.pyannote[1688].speaker |
SPEAKER_01 |
transcript.pyannote[1688].start |
10319.41409375 |
transcript.pyannote[1688].end |
10319.78534375 |
transcript.pyannote[1689].speaker |
SPEAKER_01 |
transcript.pyannote[1689].start |
10320.12284375 |
transcript.pyannote[1689].end |
10320.56159375 |
transcript.pyannote[1690].speaker |
SPEAKER_14 |
transcript.pyannote[1690].start |
10320.56159375 |
transcript.pyannote[1690].end |
10320.59534375 |
transcript.pyannote[1691].speaker |
SPEAKER_01 |
transcript.pyannote[1691].start |
10321.70909375 |
transcript.pyannote[1691].end |
10322.92409375 |
transcript.pyannote[1692].speaker |
SPEAKER_38 |
transcript.pyannote[1692].start |
10326.58596875 |
transcript.pyannote[1692].end |
10327.02471875 |
transcript.pyannote[1693].speaker |
SPEAKER_01 |
transcript.pyannote[1693].start |
10326.80534375 |
transcript.pyannote[1693].end |
10327.88534375 |
transcript.pyannote[1694].speaker |
SPEAKER_01 |
transcript.pyannote[1694].start |
10327.96971875 |
transcript.pyannote[1694].end |
10328.03721875 |
transcript.pyannote[1695].speaker |
SPEAKER_01 |
transcript.pyannote[1695].start |
10328.67846875 |
transcript.pyannote[1695].end |
10330.01159375 |
transcript.pyannote[1696].speaker |
SPEAKER_01 |
transcript.pyannote[1696].start |
10330.34909375 |
transcript.pyannote[1696].end |
10331.31096875 |
transcript.pyannote[1697].speaker |
SPEAKER_01 |
transcript.pyannote[1697].start |
10331.86784375 |
transcript.pyannote[1697].end |
10334.28096875 |
transcript.pyannote[1698].speaker |
SPEAKER_01 |
transcript.pyannote[1698].start |
10334.98971875 |
transcript.pyannote[1698].end |
10336.69409375 |
transcript.pyannote[1699].speaker |
SPEAKER_01 |
transcript.pyannote[1699].start |
10337.48721875 |
transcript.pyannote[1699].end |
10344.25409375 |
transcript.pyannote[1700].speaker |
SPEAKER_03 |
transcript.pyannote[1700].start |
10340.65971875 |
transcript.pyannote[1700].end |
10340.77784375 |
transcript.pyannote[1701].speaker |
SPEAKER_03 |
transcript.pyannote[1701].start |
10341.04784375 |
transcript.pyannote[1701].end |
10341.89159375 |
transcript.pyannote[1702].speaker |
SPEAKER_03 |
transcript.pyannote[1702].start |
10343.05596875 |
transcript.pyannote[1702].end |
10343.52846875 |
transcript.pyannote[1703].speaker |
SPEAKER_03 |
transcript.pyannote[1703].start |
10343.61284375 |
transcript.pyannote[1703].end |
10344.16971875 |
transcript.pyannote[1704].speaker |
SPEAKER_01 |
transcript.pyannote[1704].start |
10345.36784375 |
transcript.pyannote[1704].end |
10346.70096875 |
transcript.pyannote[1705].speaker |
SPEAKER_01 |
transcript.pyannote[1705].start |
10346.93721875 |
transcript.pyannote[1705].end |
10347.86534375 |
transcript.pyannote[1706].speaker |
SPEAKER_01 |
transcript.pyannote[1706].start |
10348.91159375 |
transcript.pyannote[1706].end |
10351.72971875 |
transcript.pyannote[1707].speaker |
SPEAKER_38 |
transcript.pyannote[1707].start |
10351.72971875 |
transcript.pyannote[1707].end |
10351.94909375 |
transcript.pyannote[1708].speaker |
SPEAKER_01 |
transcript.pyannote[1708].start |
10352.52284375 |
transcript.pyannote[1708].end |
10353.56909375 |
transcript.pyannote[1709].speaker |
SPEAKER_01 |
transcript.pyannote[1709].start |
10353.65346875 |
transcript.pyannote[1709].end |
10354.44659375 |
transcript.pyannote[1710].speaker |
SPEAKER_01 |
transcript.pyannote[1710].start |
10355.39159375 |
transcript.pyannote[1710].end |
10356.10034375 |
transcript.pyannote[1711].speaker |
SPEAKER_01 |
transcript.pyannote[1711].start |
10356.82596875 |
transcript.pyannote[1711].end |
10357.36596875 |
transcript.pyannote[1712].speaker |
SPEAKER_01 |
transcript.pyannote[1712].start |
10357.83846875 |
transcript.pyannote[1712].end |
10359.32346875 |
transcript.pyannote[1713].speaker |
SPEAKER_01 |
transcript.pyannote[1713].start |
10359.66096875 |
transcript.pyannote[1713].end |
10361.29784375 |
transcript.pyannote[1714].speaker |
SPEAKER_01 |
transcript.pyannote[1714].start |
10361.50034375 |
transcript.pyannote[1714].end |
10362.09096875 |
transcript.pyannote[1715].speaker |
SPEAKER_01 |
transcript.pyannote[1715].start |
10363.76159375 |
transcript.pyannote[1715].end |
10364.68971875 |
transcript.pyannote[1716].speaker |
SPEAKER_01 |
transcript.pyannote[1716].start |
10365.56721875 |
transcript.pyannote[1716].end |
10366.68096875 |
transcript.pyannote[1717].speaker |
SPEAKER_01 |
transcript.pyannote[1717].start |
10367.57534375 |
transcript.pyannote[1717].end |
10370.52846875 |
transcript.pyannote[1718].speaker |
SPEAKER_01 |
transcript.pyannote[1718].start |
10371.57471875 |
transcript.pyannote[1718].end |
10372.62096875 |
transcript.pyannote[1719].speaker |
SPEAKER_01 |
transcript.pyannote[1719].start |
10372.97534375 |
transcript.pyannote[1719].end |
10375.21971875 |
transcript.pyannote[1720].speaker |
SPEAKER_11 |
transcript.pyannote[1720].start |
10377.97034375 |
transcript.pyannote[1720].end |
10381.05846875 |
transcript.pyannote[1721].speaker |
SPEAKER_11 |
transcript.pyannote[1721].start |
10381.36221875 |
transcript.pyannote[1721].end |
10383.20159375 |
transcript.pyannote[1722].speaker |
SPEAKER_01 |
transcript.pyannote[1722].start |
10383.15096875 |
transcript.pyannote[1722].end |
10385.69909375 |
transcript.pyannote[1723].speaker |
SPEAKER_01 |
transcript.pyannote[1723].start |
10386.18846875 |
transcript.pyannote[1723].end |
10387.62284375 |
transcript.pyannote[1724].speaker |
SPEAKER_01 |
transcript.pyannote[1724].start |
10388.80409375 |
transcript.pyannote[1724].end |
10391.62221875 |
transcript.pyannote[1725].speaker |
SPEAKER_01 |
transcript.pyannote[1725].start |
10392.82034375 |
transcript.pyannote[1725].end |
10395.82409375 |
transcript.pyannote[1726].speaker |
SPEAKER_01 |
transcript.pyannote[1726].start |
10396.26284375 |
transcript.pyannote[1726].end |
10398.01784375 |
transcript.pyannote[1727].speaker |
SPEAKER_01 |
transcript.pyannote[1727].start |
10398.16971875 |
transcript.pyannote[1727].end |
10399.08096875 |
transcript.pyannote[1728].speaker |
SPEAKER_01 |
transcript.pyannote[1728].start |
10399.95846875 |
transcript.pyannote[1728].end |
10402.69221875 |
transcript.pyannote[1729].speaker |
SPEAKER_01 |
transcript.pyannote[1729].start |
10403.50221875 |
transcript.pyannote[1729].end |
10403.97471875 |
transcript.pyannote[1730].speaker |
SPEAKER_01 |
transcript.pyannote[1730].start |
10404.51471875 |
transcript.pyannote[1730].end |
10405.05471875 |
transcript.pyannote[1731].speaker |
SPEAKER_01 |
transcript.pyannote[1731].start |
10405.15596875 |
transcript.pyannote[1731].end |
10406.11784375 |
transcript.pyannote[1732].speaker |
SPEAKER_01 |
transcript.pyannote[1732].start |
10407.07971875 |
transcript.pyannote[1732].end |
10409.40846875 |
transcript.pyannote[1733].speaker |
SPEAKER_01 |
transcript.pyannote[1733].start |
10410.57284375 |
transcript.pyannote[1733].end |
10412.31096875 |
transcript.pyannote[1734].speaker |
SPEAKER_01 |
transcript.pyannote[1734].start |
10413.23909375 |
transcript.pyannote[1734].end |
10416.69846875 |
transcript.pyannote[1735].speaker |
SPEAKER_01 |
transcript.pyannote[1735].start |
10417.22159375 |
transcript.pyannote[1735].end |
10418.90909375 |
transcript.pyannote[1736].speaker |
SPEAKER_01 |
transcript.pyannote[1736].start |
10419.63471875 |
transcript.pyannote[1736].end |
10423.11096875 |
transcript.pyannote[1737].speaker |
SPEAKER_01 |
transcript.pyannote[1737].start |
10423.83659375 |
transcript.pyannote[1737].end |
10426.55346875 |
transcript.pyannote[1738].speaker |
SPEAKER_01 |
transcript.pyannote[1738].start |
10427.00909375 |
transcript.pyannote[1738].end |
10429.03409375 |
transcript.pyannote[1739].speaker |
SPEAKER_01 |
transcript.pyannote[1739].start |
10429.84409375 |
transcript.pyannote[1739].end |
10433.05034375 |
transcript.pyannote[1740].speaker |
SPEAKER_01 |
transcript.pyannote[1740].start |
10433.87721875 |
transcript.pyannote[1740].end |
10438.36596875 |
transcript.pyannote[1741].speaker |
SPEAKER_05 |
transcript.pyannote[1741].start |
10437.04971875 |
transcript.pyannote[1741].end |
10437.26909375 |
transcript.pyannote[1742].speaker |
SPEAKER_05 |
transcript.pyannote[1742].start |
10438.36596875 |
transcript.pyannote[1742].end |
10439.15909375 |
transcript.pyannote[1743].speaker |
SPEAKER_01 |
transcript.pyannote[1743].start |
10438.90596875 |
transcript.pyannote[1743].end |
10439.12534375 |
transcript.pyannote[1744].speaker |
SPEAKER_01 |
transcript.pyannote[1744].start |
10439.15909375 |
transcript.pyannote[1744].end |
10439.49659375 |
transcript.pyannote[1745].speaker |
SPEAKER_05 |
transcript.pyannote[1745].start |
10439.49659375 |
transcript.pyannote[1745].end |
10439.76659375 |
transcript.pyannote[1746].speaker |
SPEAKER_05 |
transcript.pyannote[1746].start |
10439.96909375 |
transcript.pyannote[1746].end |
10459.18971875 |
transcript.pyannote[1747].speaker |
SPEAKER_01 |
transcript.pyannote[1747].start |
10460.25284375 |
transcript.pyannote[1747].end |
10460.26971875 |
transcript.pyannote[1748].speaker |
SPEAKER_11 |
transcript.pyannote[1748].start |
10460.26971875 |
transcript.pyannote[1748].end |
10461.19784375 |
transcript.pyannote[1749].speaker |
SPEAKER_11 |
transcript.pyannote[1749].start |
10462.95284375 |
transcript.pyannote[1749].end |
10502.32221875 |
transcript.pyannote[1750].speaker |
SPEAKER_01 |
transcript.pyannote[1750].start |
10501.57971875 |
transcript.pyannote[1750].end |
10504.76909375 |
transcript.pyannote[1751].speaker |
SPEAKER_11 |
transcript.pyannote[1751].start |
10503.72284375 |
transcript.pyannote[1751].end |
10506.37221875 |
transcript.pyannote[1752].speaker |
SPEAKER_01 |
transcript.pyannote[1752].start |
10505.51159375 |
transcript.pyannote[1752].end |
10508.29596875 |
transcript.pyannote[1753].speaker |
SPEAKER_11 |
transcript.pyannote[1753].start |
10508.29596875 |
transcript.pyannote[1753].end |
10508.58284375 |
transcript.pyannote[1754].speaker |
SPEAKER_01 |
transcript.pyannote[1754].start |
10508.58284375 |
transcript.pyannote[1754].end |
10508.63346875 |
transcript.pyannote[1755].speaker |
SPEAKER_11 |
transcript.pyannote[1755].start |
10508.63346875 |
transcript.pyannote[1755].end |
10508.66721875 |
transcript.pyannote[1756].speaker |
SPEAKER_01 |
transcript.pyannote[1756].start |
10508.66721875 |
transcript.pyannote[1756].end |
10510.10159375 |
transcript.pyannote[1757].speaker |
SPEAKER_01 |
transcript.pyannote[1757].start |
10511.06346875 |
transcript.pyannote[1757].end |
10513.02096875 |
transcript.pyannote[1758].speaker |
SPEAKER_01 |
transcript.pyannote[1758].start |
10513.18971875 |
transcript.pyannote[1758].end |
10514.79284375 |
transcript.pyannote[1759].speaker |
SPEAKER_01 |
transcript.pyannote[1759].start |
10515.14721875 |
transcript.pyannote[1759].end |
10515.75471875 |
transcript.pyannote[1760].speaker |
SPEAKER_01 |
transcript.pyannote[1760].start |
10516.27784375 |
transcript.pyannote[1760].end |
10523.61846875 |
transcript.pyannote[1761].speaker |
SPEAKER_05 |
transcript.pyannote[1761].start |
10523.85471875 |
transcript.pyannote[1761].end |
10524.86721875 |
transcript.pyannote[1762].speaker |
SPEAKER_01 |
transcript.pyannote[1762].start |
10525.54221875 |
transcript.pyannote[1762].end |
10528.44471875 |
transcript.pyannote[1763].speaker |
SPEAKER_05 |
transcript.pyannote[1763].start |
10528.90034375 |
transcript.pyannote[1763].end |
10529.71034375 |
transcript.pyannote[1764].speaker |
SPEAKER_01 |
transcript.pyannote[1764].start |
10529.22096875 |
transcript.pyannote[1764].end |
10530.08159375 |
transcript.pyannote[1765].speaker |
SPEAKER_05 |
transcript.pyannote[1765].start |
10530.68909375 |
transcript.pyannote[1765].end |
10534.73909375 |
transcript.pyannote[1766].speaker |
SPEAKER_01 |
transcript.pyannote[1766].start |
10532.20784375 |
transcript.pyannote[1766].end |
10533.70971875 |
transcript.pyannote[1767].speaker |
SPEAKER_01 |
transcript.pyannote[1767].start |
10534.73909375 |
transcript.pyannote[1767].end |
10539.26159375 |
transcript.pyannote[1768].speaker |
SPEAKER_01 |
transcript.pyannote[1768].start |
10540.39221875 |
transcript.pyannote[1768].end |
10542.58596875 |
transcript.pyannote[1769].speaker |
SPEAKER_01 |
transcript.pyannote[1769].start |
10543.15971875 |
transcript.pyannote[1769].end |
10546.24784375 |
transcript.pyannote[1770].speaker |
SPEAKER_01 |
transcript.pyannote[1770].start |
10546.61909375 |
transcript.pyannote[1770].end |
10550.07846875 |
transcript.pyannote[1771].speaker |
SPEAKER_01 |
transcript.pyannote[1771].start |
10550.34846875 |
transcript.pyannote[1771].end |
10553.25096875 |
transcript.pyannote[1772].speaker |
SPEAKER_01 |
transcript.pyannote[1772].start |
10554.65159375 |
transcript.pyannote[1772].end |
10557.95909375 |
transcript.pyannote[1773].speaker |
SPEAKER_01 |
transcript.pyannote[1773].start |
10558.80284375 |
transcript.pyannote[1773].end |
10559.07284375 |
transcript.pyannote[1774].speaker |
SPEAKER_01 |
transcript.pyannote[1774].start |
10559.62971875 |
transcript.pyannote[1774].end |
10562.59971875 |
transcript.pyannote[1775].speaker |
SPEAKER_01 |
transcript.pyannote[1775].start |
10563.17346875 |
transcript.pyannote[1775].end |
10564.50659375 |
transcript.pyannote[1776].speaker |
SPEAKER_01 |
transcript.pyannote[1776].start |
10565.19846875 |
transcript.pyannote[1776].end |
10566.21096875 |
transcript.pyannote[1777].speaker |
SPEAKER_01 |
transcript.pyannote[1777].start |
10566.85221875 |
transcript.pyannote[1777].end |
10567.84784375 |
transcript.pyannote[1778].speaker |
SPEAKER_01 |
transcript.pyannote[1778].start |
10569.31596875 |
transcript.pyannote[1778].end |
10574.46284375 |
transcript.pyannote[1779].speaker |
SPEAKER_01 |
transcript.pyannote[1779].start |
10574.91846875 |
transcript.pyannote[1779].end |
10579.62659375 |
transcript.pyannote[1780].speaker |
SPEAKER_01 |
transcript.pyannote[1780].start |
10580.52096875 |
transcript.pyannote[1780].end |
10582.76534375 |
transcript.pyannote[1781].speaker |
SPEAKER_01 |
transcript.pyannote[1781].start |
10583.25471875 |
transcript.pyannote[1781].end |
10586.56221875 |
transcript.pyannote[1782].speaker |
SPEAKER_01 |
transcript.pyannote[1782].start |
10587.67596875 |
transcript.pyannote[1782].end |
10588.65471875 |
transcript.pyannote[1783].speaker |
SPEAKER_01 |
transcript.pyannote[1783].start |
10589.80221875 |
transcript.pyannote[1783].end |
10591.91159375 |
transcript.pyannote[1784].speaker |
SPEAKER_01 |
transcript.pyannote[1784].start |
10592.83971875 |
transcript.pyannote[1784].end |
10593.86909375 |
transcript.pyannote[1785].speaker |
SPEAKER_01 |
transcript.pyannote[1785].start |
10594.42596875 |
transcript.pyannote[1785].end |
10596.67034375 |
transcript.pyannote[1786].speaker |
SPEAKER_01 |
transcript.pyannote[1786].start |
10597.36221875 |
transcript.pyannote[1786].end |
10598.54346875 |
transcript.pyannote[1787].speaker |
SPEAKER_01 |
transcript.pyannote[1787].start |
10599.06659375 |
transcript.pyannote[1787].end |
10603.01534375 |
transcript.pyannote[1788].speaker |
SPEAKER_01 |
transcript.pyannote[1788].start |
10603.33596875 |
transcript.pyannote[1788].end |
10604.33159375 |
transcript.pyannote[1789].speaker |
SPEAKER_01 |
transcript.pyannote[1789].start |
10605.44534375 |
transcript.pyannote[1789].end |
10609.22534375 |
transcript.pyannote[1790].speaker |
SPEAKER_01 |
transcript.pyannote[1790].start |
10611.36846875 |
transcript.pyannote[1790].end |
10613.79846875 |
transcript.pyannote[1791].speaker |
SPEAKER_01 |
transcript.pyannote[1791].start |
10614.22034375 |
transcript.pyannote[1791].end |
10615.26659375 |
transcript.pyannote[1792].speaker |
SPEAKER_01 |
transcript.pyannote[1792].start |
10616.04284375 |
transcript.pyannote[1792].end |
10617.61221875 |
transcript.pyannote[1793].speaker |
SPEAKER_01 |
transcript.pyannote[1793].start |
10618.00034375 |
transcript.pyannote[1793].end |
10618.77659375 |
transcript.pyannote[1794].speaker |
SPEAKER_01 |
transcript.pyannote[1794].start |
10619.50221875 |
transcript.pyannote[1794].end |
10621.71284375 |
transcript.pyannote[1795].speaker |
SPEAKER_01 |
transcript.pyannote[1795].start |
10622.08409375 |
transcript.pyannote[1795].end |
10623.83909375 |
transcript.pyannote[1796].speaker |
SPEAKER_01 |
transcript.pyannote[1796].start |
10624.81784375 |
transcript.pyannote[1796].end |
10627.18034375 |
transcript.pyannote[1797].speaker |
SPEAKER_01 |
transcript.pyannote[1797].start |
10627.66971875 |
transcript.pyannote[1797].end |
10630.11659375 |
transcript.pyannote[1798].speaker |
SPEAKER_01 |
transcript.pyannote[1798].start |
10630.72409375 |
transcript.pyannote[1798].end |
10633.66034375 |
transcript.pyannote[1799].speaker |
SPEAKER_01 |
transcript.pyannote[1799].start |
10634.38596875 |
transcript.pyannote[1799].end |
10636.27596875 |
transcript.pyannote[1800].speaker |
SPEAKER_05 |
transcript.pyannote[1800].start |
10635.56721875 |
transcript.pyannote[1800].end |
10636.15784375 |
transcript.pyannote[1801].speaker |
SPEAKER_05 |
transcript.pyannote[1801].start |
10636.69784375 |
transcript.pyannote[1801].end |
10637.10284375 |
transcript.pyannote[1802].speaker |
SPEAKER_05 |
transcript.pyannote[1802].start |
10637.47409375 |
transcript.pyannote[1802].end |
10637.64284375 |
transcript.pyannote[1803].speaker |
SPEAKER_05 |
transcript.pyannote[1803].start |
10638.01409375 |
transcript.pyannote[1803].end |
10645.33784375 |
transcript.pyannote[1804].speaker |
SPEAKER_01 |
transcript.pyannote[1804].start |
10644.35909375 |
transcript.pyannote[1804].end |
10645.84409375 |
transcript.pyannote[1805].speaker |
SPEAKER_01 |
transcript.pyannote[1805].start |
10648.52721875 |
transcript.pyannote[1805].end |
10653.52221875 |
transcript.pyannote[1806].speaker |
SPEAKER_01 |
transcript.pyannote[1806].start |
10654.63596875 |
transcript.pyannote[1806].end |
10655.69909375 |
transcript.pyannote[1807].speaker |
SPEAKER_01 |
transcript.pyannote[1807].start |
10656.28971875 |
transcript.pyannote[1807].end |
10657.06596875 |
transcript.pyannote[1808].speaker |
SPEAKER_01 |
transcript.pyannote[1808].start |
10658.17971875 |
transcript.pyannote[1808].end |
10660.87971875 |
transcript.pyannote[1809].speaker |
SPEAKER_03 |
transcript.pyannote[1809].start |
10661.52096875 |
transcript.pyannote[1809].end |
10662.70221875 |
transcript.pyannote[1810].speaker |
SPEAKER_01 |
transcript.pyannote[1810].start |
10661.77409375 |
transcript.pyannote[1810].end |
10666.63409375 |
transcript.pyannote[1811].speaker |
SPEAKER_03 |
transcript.pyannote[1811].start |
10666.48221875 |
transcript.pyannote[1811].end |
10666.53284375 |
transcript.pyannote[1812].speaker |
SPEAKER_38 |
transcript.pyannote[1812].start |
10666.53284375 |
transcript.pyannote[1812].end |
10666.58346875 |
transcript.pyannote[1813].speaker |
SPEAKER_03 |
transcript.pyannote[1813].start |
10666.63409375 |
transcript.pyannote[1813].end |
10666.66784375 |
transcript.pyannote[1814].speaker |
SPEAKER_01 |
transcript.pyannote[1814].start |
10666.66784375 |
transcript.pyannote[1814].end |
10669.73909375 |
transcript.pyannote[1815].speaker |
SPEAKER_01 |
transcript.pyannote[1815].start |
10670.34659375 |
transcript.pyannote[1815].end |
10672.70909375 |
transcript.pyannote[1816].speaker |
SPEAKER_38 |
transcript.pyannote[1816].start |
10671.71346875 |
transcript.pyannote[1816].end |
10672.01721875 |
transcript.pyannote[1817].speaker |
SPEAKER_05 |
transcript.pyannote[1817].start |
10672.01721875 |
transcript.pyannote[1817].end |
10672.03409375 |
transcript.pyannote[1818].speaker |
SPEAKER_01 |
transcript.pyannote[1818].start |
10673.36721875 |
transcript.pyannote[1818].end |
10677.01221875 |
transcript.pyannote[1819].speaker |
SPEAKER_01 |
transcript.pyannote[1819].start |
10677.53534375 |
transcript.pyannote[1819].end |
10679.94846875 |
transcript.pyannote[1820].speaker |
SPEAKER_05 |
transcript.pyannote[1820].start |
10679.57721875 |
transcript.pyannote[1820].end |
10683.91409375 |
transcript.pyannote[1821].speaker |
SPEAKER_05 |
transcript.pyannote[1821].start |
10684.20096875 |
transcript.pyannote[1821].end |
10684.52159375 |
transcript.pyannote[1822].speaker |
SPEAKER_01 |
transcript.pyannote[1822].start |
10684.52159375 |
transcript.pyannote[1822].end |
10684.53846875 |
transcript.pyannote[1823].speaker |
SPEAKER_01 |
transcript.pyannote[1823].start |
10684.79159375 |
transcript.pyannote[1823].end |
10686.00659375 |
transcript.pyannote[1824].speaker |
SPEAKER_05 |
transcript.pyannote[1824].start |
10686.00659375 |
transcript.pyannote[1824].end |
10689.82034375 |
transcript.pyannote[1825].speaker |
SPEAKER_01 |
transcript.pyannote[1825].start |
10689.82034375 |
transcript.pyannote[1825].end |
10690.96784375 |
transcript.pyannote[1826].speaker |
SPEAKER_05 |
transcript.pyannote[1826].start |
10690.96784375 |
transcript.pyannote[1826].end |
10695.35534375 |
transcript.pyannote[1827].speaker |
SPEAKER_01 |
transcript.pyannote[1827].start |
10695.42284375 |
transcript.pyannote[1827].end |
10698.88221875 |
transcript.pyannote[1828].speaker |
SPEAKER_01 |
transcript.pyannote[1828].start |
10699.40534375 |
transcript.pyannote[1828].end |
10703.64096875 |
transcript.pyannote[1829].speaker |
SPEAKER_01 |
transcript.pyannote[1829].start |
10704.31596875 |
transcript.pyannote[1829].end |
10705.21034375 |
transcript.pyannote[1830].speaker |
SPEAKER_01 |
transcript.pyannote[1830].start |
10705.42971875 |
transcript.pyannote[1830].end |
10706.50971875 |
transcript.pyannote[1831].speaker |
SPEAKER_08 |
transcript.pyannote[1831].start |
10706.50971875 |
transcript.pyannote[1831].end |
10706.83034375 |
transcript.pyannote[1832].speaker |
SPEAKER_01 |
transcript.pyannote[1832].start |
10706.94846875 |
transcript.pyannote[1832].end |
10708.02846875 |
transcript.pyannote[1833].speaker |
SPEAKER_08 |
transcript.pyannote[1833].start |
10708.61909375 |
transcript.pyannote[1833].end |
10709.90159375 |
transcript.pyannote[1834].speaker |
SPEAKER_01 |
transcript.pyannote[1834].start |
10709.47971875 |
transcript.pyannote[1834].end |
10711.36971875 |
transcript.pyannote[1835].speaker |
SPEAKER_01 |
transcript.pyannote[1835].start |
10711.70721875 |
transcript.pyannote[1835].end |
10716.78659375 |
transcript.pyannote[1836].speaker |
SPEAKER_01 |
transcript.pyannote[1836].start |
10717.73159375 |
transcript.pyannote[1836].end |
10719.85784375 |
transcript.pyannote[1837].speaker |
SPEAKER_05 |
transcript.pyannote[1837].start |
10719.87471875 |
transcript.pyannote[1837].end |
10725.71346875 |
transcript.pyannote[1838].speaker |
SPEAKER_01 |
transcript.pyannote[1838].start |
10725.71346875 |
transcript.pyannote[1838].end |
10727.58659375 |
transcript.pyannote[1839].speaker |
SPEAKER_05 |
transcript.pyannote[1839].start |
10727.70471875 |
transcript.pyannote[1839].end |
10729.30784375 |
transcript.pyannote[1840].speaker |
SPEAKER_01 |
transcript.pyannote[1840].start |
10730.94471875 |
transcript.pyannote[1840].end |
10732.58159375 |
transcript.pyannote[1841].speaker |
SPEAKER_01 |
transcript.pyannote[1841].start |
10732.96971875 |
transcript.pyannote[1841].end |
10733.54346875 |
transcript.pyannote[1842].speaker |
SPEAKER_05 |
transcript.pyannote[1842].start |
10733.54346875 |
transcript.pyannote[1842].end |
10733.62784375 |
transcript.pyannote[1843].speaker |
SPEAKER_01 |
transcript.pyannote[1843].start |
10733.62784375 |
transcript.pyannote[1843].end |
10733.86409375 |
transcript.pyannote[1844].speaker |
SPEAKER_05 |
transcript.pyannote[1844].start |
10733.86409375 |
transcript.pyannote[1844].end |
10733.91471875 |
transcript.pyannote[1845].speaker |
SPEAKER_01 |
transcript.pyannote[1845].start |
10733.91471875 |
transcript.pyannote[1845].end |
10734.25221875 |
transcript.pyannote[1846].speaker |
SPEAKER_05 |
transcript.pyannote[1846].start |
10734.25221875 |
transcript.pyannote[1846].end |
10734.43784375 |
transcript.pyannote[1847].speaker |
SPEAKER_01 |
transcript.pyannote[1847].start |
10734.43784375 |
transcript.pyannote[1847].end |
10736.24346875 |
transcript.pyannote[1848].speaker |
SPEAKER_05 |
transcript.pyannote[1848].start |
10734.45471875 |
transcript.pyannote[1848].end |
10734.87659375 |
transcript.pyannote[1849].speaker |
SPEAKER_38 |
transcript.pyannote[1849].start |
10734.87659375 |
transcript.pyannote[1849].end |
10734.92721875 |
transcript.pyannote[1850].speaker |
SPEAKER_05 |
transcript.pyannote[1850].start |
10734.92721875 |
transcript.pyannote[1850].end |
10734.97784375 |
transcript.pyannote[1851].speaker |
SPEAKER_01 |
transcript.pyannote[1851].start |
10736.91846875 |
transcript.pyannote[1851].end |
10739.63534375 |
transcript.pyannote[1852].speaker |
SPEAKER_01 |
transcript.pyannote[1852].start |
10739.95596875 |
transcript.pyannote[1852].end |
10743.93846875 |
transcript.pyannote[1853].speaker |
SPEAKER_01 |
transcript.pyannote[1853].start |
10744.52909375 |
transcript.pyannote[1853].end |
10746.89159375 |
transcript.pyannote[1854].speaker |
SPEAKER_01 |
transcript.pyannote[1854].start |
10747.46534375 |
transcript.pyannote[1854].end |
10750.58721875 |
transcript.pyannote[1855].speaker |
SPEAKER_38 |
transcript.pyannote[1855].start |
10750.80659375 |
transcript.pyannote[1855].end |
10750.94159375 |
transcript.pyannote[1856].speaker |
SPEAKER_01 |
transcript.pyannote[1856].start |
10751.27909375 |
transcript.pyannote[1856].end |
10755.48096875 |
transcript.pyannote[1857].speaker |
SPEAKER_01 |
transcript.pyannote[1857].start |
10756.27409375 |
transcript.pyannote[1857].end |
10759.61534375 |
transcript.pyannote[1858].speaker |
SPEAKER_01 |
transcript.pyannote[1858].start |
10760.10471875 |
transcript.pyannote[1858].end |
10761.94409375 |
transcript.pyannote[1859].speaker |
SPEAKER_01 |
transcript.pyannote[1859].start |
10762.50096875 |
transcript.pyannote[1859].end |
10764.66096875 |
transcript.pyannote[1860].speaker |
SPEAKER_03 |
transcript.pyannote[1860].start |
10764.66096875 |
transcript.pyannote[1860].end |
10765.55534375 |
transcript.pyannote[1861].speaker |
SPEAKER_01 |
transcript.pyannote[1861].start |
10764.71159375 |
transcript.pyannote[1861].end |
10769.50409375 |
transcript.pyannote[1862].speaker |
SPEAKER_01 |
transcript.pyannote[1862].start |
10770.21284375 |
transcript.pyannote[1862].end |
10772.03534375 |
transcript.pyannote[1863].speaker |
SPEAKER_03 |
transcript.pyannote[1863].start |
10772.03534375 |
transcript.pyannote[1863].end |
10772.87909375 |
transcript.pyannote[1864].speaker |
SPEAKER_01 |
transcript.pyannote[1864].start |
10772.44034375 |
transcript.pyannote[1864].end |
10774.63409375 |
transcript.pyannote[1865].speaker |
SPEAKER_01 |
transcript.pyannote[1865].start |
10775.15721875 |
transcript.pyannote[1865].end |
10777.77284375 |
transcript.pyannote[1866].speaker |
SPEAKER_01 |
transcript.pyannote[1866].start |
10778.76846875 |
transcript.pyannote[1866].end |
10780.20284375 |
transcript.pyannote[1867].speaker |
SPEAKER_01 |
transcript.pyannote[1867].start |
10780.65846875 |
transcript.pyannote[1867].end |
10783.88159375 |
transcript.pyannote[1868].speaker |
SPEAKER_03 |
transcript.pyannote[1868].start |
10783.88159375 |
transcript.pyannote[1868].end |
10785.31596875 |
transcript.pyannote[1869].speaker |
SPEAKER_01 |
transcript.pyannote[1869].start |
10784.52284375 |
transcript.pyannote[1869].end |
10793.41596875 |
transcript.pyannote[1870].speaker |
SPEAKER_03 |
transcript.pyannote[1870].start |
10787.76284375 |
transcript.pyannote[1870].end |
10788.74159375 |
transcript.pyannote[1871].speaker |
SPEAKER_03 |
transcript.pyannote[1871].start |
10789.93971875 |
transcript.pyannote[1871].end |
10790.49659375 |
transcript.pyannote[1872].speaker |
SPEAKER_14 |
transcript.pyannote[1872].start |
10797.87096875 |
transcript.pyannote[1872].end |
10799.44034375 |
transcript.pyannote[1873].speaker |
SPEAKER_14 |
transcript.pyannote[1873].start |
10801.75221875 |
transcript.pyannote[1873].end |
10804.04721875 |
transcript.pyannote[1874].speaker |
SPEAKER_34 |
transcript.pyannote[1874].start |
10811.69159375 |
transcript.pyannote[1874].end |
10816.26471875 |
transcript.pyannote[1875].speaker |
SPEAKER_37 |
transcript.pyannote[1875].start |
10815.64034375 |
transcript.pyannote[1875].end |
10816.66971875 |
transcript.pyannote[1876].speaker |
SPEAKER_34 |
transcript.pyannote[1876].start |
10816.66971875 |
transcript.pyannote[1876].end |
10816.70346875 |
transcript.pyannote[1877].speaker |
SPEAKER_34 |
transcript.pyannote[1877].start |
10817.83409375 |
transcript.pyannote[1877].end |
10819.79159375 |
transcript.pyannote[1878].speaker |
SPEAKER_34 |
transcript.pyannote[1878].start |
10819.97721875 |
transcript.pyannote[1878].end |
10820.56784375 |
transcript.pyannote[1879].speaker |
SPEAKER_03 |
transcript.pyannote[1879].start |
10824.70221875 |
transcript.pyannote[1879].end |
10825.29284375 |
transcript.pyannote[1880].speaker |
SPEAKER_34 |
transcript.pyannote[1880].start |
10825.34346875 |
transcript.pyannote[1880].end |
10829.27534375 |
transcript.pyannote[1881].speaker |
SPEAKER_34 |
transcript.pyannote[1881].start |
10831.23284375 |
transcript.pyannote[1881].end |
10833.30846875 |
transcript.pyannote[1882].speaker |
SPEAKER_05 |
transcript.pyannote[1882].start |
10836.29534375 |
transcript.pyannote[1882].end |
10839.58596875 |
transcript.pyannote[1883].speaker |
SPEAKER_05 |
transcript.pyannote[1883].start |
10839.80534375 |
transcript.pyannote[1883].end |
10839.87284375 |
transcript.pyannote[1884].speaker |
SPEAKER_34 |
transcript.pyannote[1884].start |
10839.87284375 |
transcript.pyannote[1884].end |
10839.97409375 |
transcript.pyannote[1885].speaker |
SPEAKER_05 |
transcript.pyannote[1885].start |
10839.97409375 |
transcript.pyannote[1885].end |
10840.02471875 |
transcript.pyannote[1886].speaker |
SPEAKER_34 |
transcript.pyannote[1886].start |
10840.02471875 |
transcript.pyannote[1886].end |
10840.36221875 |
transcript.pyannote[1887].speaker |
SPEAKER_05 |
transcript.pyannote[1887].start |
10840.36221875 |
transcript.pyannote[1887].end |
10840.78409375 |
transcript.pyannote[1888].speaker |
SPEAKER_05 |
transcript.pyannote[1888].start |
10841.83034375 |
transcript.pyannote[1888].end |
10842.55596875 |
transcript.pyannote[1889].speaker |
SPEAKER_05 |
transcript.pyannote[1889].start |
10843.43346875 |
transcript.pyannote[1889].end |
10843.46721875 |
transcript.pyannote[1890].speaker |
SPEAKER_34 |
transcript.pyannote[1890].start |
10843.46721875 |
transcript.pyannote[1890].end |
10844.29409375 |
transcript.pyannote[1891].speaker |
SPEAKER_05 |
transcript.pyannote[1891].start |
10846.03221875 |
transcript.pyannote[1891].end |
10847.97284375 |
transcript.pyannote[1892].speaker |
SPEAKER_34 |
transcript.pyannote[1892].start |
10847.87159375 |
transcript.pyannote[1892].end |
10852.59659375 |
transcript.pyannote[1893].speaker |
SPEAKER_34 |
transcript.pyannote[1893].start |
10853.49096875 |
transcript.pyannote[1893].end |
10860.24096875 |
transcript.pyannote[1894].speaker |
SPEAKER_34 |
transcript.pyannote[1894].start |
10860.66284375 |
transcript.pyannote[1894].end |
10864.45971875 |
transcript.pyannote[1895].speaker |
SPEAKER_34 |
transcript.pyannote[1895].start |
10864.71284375 |
transcript.pyannote[1895].end |
10868.22284375 |
transcript.pyannote[1896].speaker |
SPEAKER_34 |
transcript.pyannote[1896].start |
10868.30721875 |
transcript.pyannote[1896].end |
10868.93159375 |
transcript.pyannote[1897].speaker |
SPEAKER_34 |
transcript.pyannote[1897].start |
10869.31971875 |
transcript.pyannote[1897].end |
10871.02409375 |
transcript.pyannote[1898].speaker |
SPEAKER_34 |
transcript.pyannote[1898].start |
10871.22659375 |
transcript.pyannote[1898].end |
10872.82971875 |
transcript.pyannote[1899].speaker |
SPEAKER_34 |
transcript.pyannote[1899].start |
10873.21784375 |
transcript.pyannote[1899].end |
10881.36846875 |
transcript.pyannote[1900].speaker |
SPEAKER_34 |
transcript.pyannote[1900].start |
10881.68909375 |
transcript.pyannote[1900].end |
10886.19471875 |
transcript.pyannote[1901].speaker |
SPEAKER_34 |
transcript.pyannote[1901].start |
10886.70096875 |
transcript.pyannote[1901].end |
10889.06346875 |
transcript.pyannote[1902].speaker |
SPEAKER_05 |
transcript.pyannote[1902].start |
10888.77659375 |
transcript.pyannote[1902].end |
10892.50596875 |
transcript.pyannote[1903].speaker |
SPEAKER_05 |
transcript.pyannote[1903].start |
10892.57346875 |
transcript.pyannote[1903].end |
10906.52909375 |
transcript.pyannote[1904].speaker |
SPEAKER_34 |
transcript.pyannote[1904].start |
10906.52909375 |
transcript.pyannote[1904].end |
10906.54596875 |
transcript.pyannote[1905].speaker |
SPEAKER_05 |
transcript.pyannote[1905].start |
10906.81596875 |
transcript.pyannote[1905].end |
10920.23159375 |
transcript.pyannote[1906].speaker |
SPEAKER_34 |
transcript.pyannote[1906].start |
10920.14721875 |
transcript.pyannote[1906].end |
10926.40784375 |
transcript.pyannote[1907].speaker |
SPEAKER_05 |
transcript.pyannote[1907].start |
10927.01534375 |
transcript.pyannote[1907].end |
10927.50471875 |
transcript.pyannote[1908].speaker |
SPEAKER_34 |
transcript.pyannote[1908].start |
10927.50471875 |
transcript.pyannote[1908].end |
10927.60596875 |
transcript.pyannote[1909].speaker |
SPEAKER_05 |
transcript.pyannote[1909].start |
10927.60596875 |
transcript.pyannote[1909].end |
10927.77471875 |
transcript.pyannote[1910].speaker |
SPEAKER_34 |
transcript.pyannote[1910].start |
10927.77471875 |
transcript.pyannote[1910].end |
10933.57971875 |
transcript.pyannote[1911].speaker |
SPEAKER_05 |
transcript.pyannote[1911].start |
10928.48346875 |
transcript.pyannote[1911].end |
10928.63534375 |
transcript.pyannote[1912].speaker |
SPEAKER_05 |
transcript.pyannote[1912].start |
10932.56721875 |
transcript.pyannote[1912].end |
10947.01221875 |
transcript.pyannote[1913].speaker |
SPEAKER_34 |
transcript.pyannote[1913].start |
10946.57346875 |
transcript.pyannote[1913].end |
10949.94846875 |
transcript.pyannote[1914].speaker |
SPEAKER_05 |
transcript.pyannote[1914].start |
10948.75034375 |
transcript.pyannote[1914].end |
10957.06971875 |
transcript.pyannote[1915].speaker |
SPEAKER_34 |
transcript.pyannote[1915].start |
10957.25534375 |
transcript.pyannote[1915].end |
10960.64721875 |
transcript.pyannote[1916].speaker |
SPEAKER_05 |
transcript.pyannote[1916].start |
10959.46596875 |
transcript.pyannote[1916].end |
10964.34284375 |
transcript.pyannote[1917].speaker |
SPEAKER_34 |
transcript.pyannote[1917].start |
10963.92096875 |
transcript.pyannote[1917].end |
10973.42159375 |
transcript.pyannote[1918].speaker |
SPEAKER_34 |
transcript.pyannote[1918].start |
10973.82659375 |
transcript.pyannote[1918].end |
10982.75346875 |
transcript.pyannote[1919].speaker |
SPEAKER_05 |
transcript.pyannote[1919].start |
10980.03659375 |
transcript.pyannote[1919].end |
10980.67784375 |
transcript.pyannote[1920].speaker |
SPEAKER_05 |
transcript.pyannote[1920].start |
10980.93096875 |
transcript.pyannote[1920].end |
10985.21721875 |
transcript.pyannote[1921].speaker |
SPEAKER_05 |
transcript.pyannote[1921].start |
10985.30159375 |
transcript.pyannote[1921].end |
10986.28034375 |
transcript.pyannote[1922].speaker |
SPEAKER_34 |
transcript.pyannote[1922].start |
10985.47034375 |
transcript.pyannote[1922].end |
10990.12784375 |
transcript.pyannote[1923].speaker |
SPEAKER_34 |
transcript.pyannote[1923].start |
10991.03909375 |
transcript.pyannote[1923].end |
10994.65034375 |
transcript.pyannote[1924].speaker |
SPEAKER_05 |
transcript.pyannote[1924].start |
10994.65034375 |
transcript.pyannote[1924].end |
10994.70096875 |
transcript.pyannote[1925].speaker |
SPEAKER_05 |
transcript.pyannote[1925].start |
10995.56159375 |
transcript.pyannote[1925].end |
11017.02659375 |
transcript.pyannote[1926].speaker |
SPEAKER_09 |
transcript.pyannote[1926].start |
11002.24409375 |
transcript.pyannote[1926].end |
11003.20596875 |
transcript.pyannote[1927].speaker |
SPEAKER_34 |
transcript.pyannote[1927].start |
11017.12784375 |
transcript.pyannote[1927].end |
11028.88971875 |
transcript.pyannote[1928].speaker |
SPEAKER_05 |
transcript.pyannote[1928].start |
11019.16971875 |
transcript.pyannote[1928].end |
11019.70971875 |
transcript.pyannote[1929].speaker |
SPEAKER_38 |
transcript.pyannote[1929].start |
11027.43846875 |
transcript.pyannote[1929].end |
11027.86034375 |
transcript.pyannote[1930].speaker |
SPEAKER_38 |
transcript.pyannote[1930].start |
11028.56909375 |
transcript.pyannote[1930].end |
11029.29471875 |
transcript.pyannote[1931].speaker |
SPEAKER_34 |
transcript.pyannote[1931].start |
11029.59846875 |
transcript.pyannote[1931].end |
11033.69909375 |
transcript.pyannote[1932].speaker |
SPEAKER_38 |
transcript.pyannote[1932].start |
11033.85096875 |
transcript.pyannote[1932].end |
11034.44159375 |
transcript.pyannote[1933].speaker |
SPEAKER_34 |
transcript.pyannote[1933].start |
11034.96471875 |
transcript.pyannote[1933].end |
11036.16284375 |
transcript.pyannote[1934].speaker |
SPEAKER_34 |
transcript.pyannote[1934].start |
11037.19221875 |
transcript.pyannote[1934].end |
11040.58409375 |
transcript.pyannote[1935].speaker |
SPEAKER_34 |
transcript.pyannote[1935].start |
11041.84971875 |
transcript.pyannote[1935].end |
11043.87471875 |
transcript.pyannote[1936].speaker |
SPEAKER_34 |
transcript.pyannote[1936].start |
11044.29659375 |
transcript.pyannote[1936].end |
11052.70034375 |
transcript.pyannote[1937].speaker |
SPEAKER_05 |
transcript.pyannote[1937].start |
11052.70034375 |
transcript.pyannote[1937].end |
11052.71721875 |
transcript.pyannote[1938].speaker |
SPEAKER_05 |
transcript.pyannote[1938].start |
11053.17284375 |
transcript.pyannote[1938].end |
11061.99846875 |
transcript.pyannote[1939].speaker |
SPEAKER_34 |
transcript.pyannote[1939].start |
11061.99846875 |
transcript.pyannote[1939].end |
11067.31409375 |
transcript.pyannote[1940].speaker |
SPEAKER_05 |
transcript.pyannote[1940].start |
11064.22596875 |
transcript.pyannote[1940].end |
11064.58034375 |
transcript.pyannote[1941].speaker |
SPEAKER_05 |
transcript.pyannote[1941].start |
11065.17096875 |
transcript.pyannote[1941].end |
11065.62659375 |
transcript.pyannote[1942].speaker |
SPEAKER_05 |
transcript.pyannote[1942].start |
11067.31409375 |
transcript.pyannote[1942].end |
11093.11596875 |
transcript.pyannote[1943].speaker |
SPEAKER_34 |
transcript.pyannote[1943].start |
11093.11596875 |
transcript.pyannote[1943].end |
11098.39784375 |
transcript.pyannote[1944].speaker |
SPEAKER_05 |
transcript.pyannote[1944].start |
11093.13284375 |
transcript.pyannote[1944].end |
11093.35221875 |
transcript.pyannote[1945].speaker |
SPEAKER_05 |
transcript.pyannote[1945].start |
11097.25034375 |
transcript.pyannote[1945].end |
11099.62971875 |
transcript.pyannote[1946].speaker |
SPEAKER_34 |
transcript.pyannote[1946].start |
11099.24159375 |
transcript.pyannote[1946].end |
11102.39721875 |
transcript.pyannote[1947].speaker |
SPEAKER_05 |
transcript.pyannote[1947].start |
11103.15659375 |
transcript.pyannote[1947].end |
11103.47721875 |
transcript.pyannote[1948].speaker |
SPEAKER_05 |
transcript.pyannote[1948].start |
11104.10159375 |
transcript.pyannote[1948].end |
11108.64096875 |
transcript.pyannote[1949].speaker |
SPEAKER_34 |
transcript.pyannote[1949].start |
11108.64096875 |
transcript.pyannote[1949].end |
11112.28596875 |
transcript.pyannote[1950].speaker |
SPEAKER_05 |
transcript.pyannote[1950].start |
11111.00346875 |
transcript.pyannote[1950].end |
11121.53346875 |
transcript.pyannote[1951].speaker |
SPEAKER_05 |
transcript.pyannote[1951].start |
11121.83721875 |
transcript.pyannote[1951].end |
11127.67596875 |
transcript.pyannote[1952].speaker |
SPEAKER_34 |
transcript.pyannote[1952].start |
11128.19909375 |
transcript.pyannote[1952].end |
11141.47971875 |
transcript.pyannote[1953].speaker |
SPEAKER_04 |
transcript.pyannote[1953].start |
11133.10971875 |
transcript.pyannote[1953].end |
11133.37971875 |
transcript.pyannote[1954].speaker |
SPEAKER_05 |
transcript.pyannote[1954].start |
11133.37971875 |
transcript.pyannote[1954].end |
11133.41346875 |
transcript.pyannote[1955].speaker |
SPEAKER_04 |
transcript.pyannote[1955].start |
11133.41346875 |
transcript.pyannote[1955].end |
11133.75096875 |
transcript.pyannote[1956].speaker |
SPEAKER_05 |
transcript.pyannote[1956].start |
11142.61034375 |
transcript.pyannote[1956].end |
11143.52159375 |
transcript.pyannote[1957].speaker |
SPEAKER_05 |
transcript.pyannote[1957].start |
11144.43284375 |
transcript.pyannote[1957].end |
11162.60721875 |
transcript.pyannote[1958].speaker |
SPEAKER_34 |
transcript.pyannote[1958].start |
11160.91971875 |
transcript.pyannote[1958].end |
11161.44284375 |
transcript.pyannote[1959].speaker |
SPEAKER_34 |
transcript.pyannote[1959].start |
11163.24846875 |
transcript.pyannote[1959].end |
11167.77096875 |
transcript.pyannote[1960].speaker |
SPEAKER_05 |
transcript.pyannote[1960].start |
11168.14221875 |
transcript.pyannote[1960].end |
11169.57659375 |
transcript.pyannote[1961].speaker |
SPEAKER_34 |
transcript.pyannote[1961].start |
11169.67784375 |
transcript.pyannote[1961].end |
11175.33096875 |
transcript.pyannote[1962].speaker |
SPEAKER_05 |
transcript.pyannote[1962].start |
11177.20409375 |
transcript.pyannote[1962].end |
11177.74409375 |
transcript.pyannote[1963].speaker |
SPEAKER_05 |
transcript.pyannote[1963].start |
11178.33471875 |
transcript.pyannote[1963].end |
11211.42659375 |
transcript.pyannote[1964].speaker |
SPEAKER_34 |
transcript.pyannote[1964].start |
11210.04284375 |
transcript.pyannote[1964].end |
11215.49346875 |
transcript.pyannote[1965].speaker |
SPEAKER_05 |
transcript.pyannote[1965].start |
11213.13096875 |
transcript.pyannote[1965].end |
11215.13909375 |
transcript.pyannote[1966].speaker |
SPEAKER_05 |
transcript.pyannote[1966].start |
11215.71284375 |
transcript.pyannote[1966].end |
11215.76346875 |
transcript.pyannote[1967].speaker |
SPEAKER_34 |
transcript.pyannote[1967].start |
11215.76346875 |
transcript.pyannote[1967].end |
11215.83096875 |
transcript.pyannote[1968].speaker |
SPEAKER_05 |
transcript.pyannote[1968].start |
11215.83096875 |
transcript.pyannote[1968].end |
11215.89846875 |
transcript.pyannote[1969].speaker |
SPEAKER_34 |
transcript.pyannote[1969].start |
11215.89846875 |
transcript.pyannote[1969].end |
11218.42971875 |
transcript.pyannote[1970].speaker |
SPEAKER_05 |
transcript.pyannote[1970].start |
11218.78409375 |
transcript.pyannote[1970].end |
11218.86846875 |
transcript.pyannote[1971].speaker |
SPEAKER_34 |
transcript.pyannote[1971].start |
11218.86846875 |
transcript.pyannote[1971].end |
11218.93596875 |
transcript.pyannote[1972].speaker |
SPEAKER_05 |
transcript.pyannote[1972].start |
11218.93596875 |
transcript.pyannote[1972].end |
11218.95284375 |
transcript.pyannote[1973].speaker |
SPEAKER_34 |
transcript.pyannote[1973].start |
11219.12159375 |
transcript.pyannote[1973].end |
11220.11721875 |
transcript.pyannote[1974].speaker |
SPEAKER_05 |
transcript.pyannote[1974].start |
11220.45471875 |
transcript.pyannote[1974].end |
11220.92721875 |
transcript.pyannote[1975].speaker |
SPEAKER_34 |
transcript.pyannote[1975].start |
11221.12971875 |
transcript.pyannote[1975].end |
11221.48409375 |
transcript.pyannote[1976].speaker |
SPEAKER_05 |
transcript.pyannote[1976].start |
11222.49659375 |
transcript.pyannote[1976].end |
11223.91409375 |
transcript.pyannote[1977].speaker |
SPEAKER_34 |
transcript.pyannote[1977].start |
11223.81284375 |
transcript.pyannote[1977].end |
11226.71534375 |
transcript.pyannote[1978].speaker |
SPEAKER_34 |
transcript.pyannote[1978].start |
11227.25534375 |
transcript.pyannote[1978].end |
11241.66659375 |
transcript.pyannote[1979].speaker |
SPEAKER_05 |
transcript.pyannote[1979].start |
11240.77221875 |
transcript.pyannote[1979].end |
11243.37096875 |
transcript.pyannote[1980].speaker |
SPEAKER_34 |
transcript.pyannote[1980].start |
11243.99534375 |
transcript.pyannote[1980].end |
11248.66971875 |
transcript.pyannote[1981].speaker |
SPEAKER_05 |
transcript.pyannote[1981].start |
11250.22221875 |
transcript.pyannote[1981].end |
11251.85909375 |
transcript.pyannote[1982].speaker |
SPEAKER_05 |
transcript.pyannote[1982].start |
11252.83784375 |
transcript.pyannote[1982].end |
11254.98096875 |
transcript.pyannote[1983].speaker |
SPEAKER_05 |
transcript.pyannote[1983].start |
11255.75721875 |
transcript.pyannote[1983].end |
11261.62971875 |
transcript.pyannote[1984].speaker |
SPEAKER_34 |
transcript.pyannote[1984].start |
11256.19596875 |
transcript.pyannote[1984].end |
11257.91721875 |
transcript.pyannote[1985].speaker |
SPEAKER_34 |
transcript.pyannote[1985].start |
11265.83159375 |
transcript.pyannote[1985].end |
11273.93159375 |
transcript.pyannote[1986].speaker |
SPEAKER_05 |
transcript.pyannote[1986].start |
11275.77096875 |
transcript.pyannote[1986].end |
11277.28971875 |
transcript.pyannote[1987].speaker |
SPEAKER_34 |
transcript.pyannote[1987].start |
11277.12096875 |
transcript.pyannote[1987].end |
11280.49596875 |
transcript.pyannote[1988].speaker |
SPEAKER_34 |
transcript.pyannote[1988].start |
11280.95159375 |
transcript.pyannote[1988].end |
11286.53721875 |
transcript.pyannote[1989].speaker |
SPEAKER_34 |
transcript.pyannote[1989].start |
11287.17846875 |
transcript.pyannote[1989].end |
11289.23721875 |
transcript.pyannote[1990].speaker |
SPEAKER_34 |
transcript.pyannote[1990].start |
11290.33409375 |
transcript.pyannote[1990].end |
11291.90346875 |
transcript.pyannote[1991].speaker |
SPEAKER_34 |
transcript.pyannote[1991].start |
11292.44346875 |
transcript.pyannote[1991].end |
11296.52721875 |
transcript.pyannote[1992].speaker |
SPEAKER_34 |
transcript.pyannote[1992].start |
11297.05034375 |
transcript.pyannote[1992].end |
11299.37909375 |
transcript.pyannote[1993].speaker |
SPEAKER_34 |
transcript.pyannote[1993].start |
11300.00346875 |
transcript.pyannote[1993].end |
11302.38284375 |
transcript.pyannote[1994].speaker |
SPEAKER_34 |
transcript.pyannote[1994].start |
11303.10846875 |
transcript.pyannote[1994].end |
11305.97721875 |
transcript.pyannote[1995].speaker |
SPEAKER_05 |
transcript.pyannote[1995].start |
11307.37784375 |
transcript.pyannote[1995].end |
11307.68159375 |
transcript.pyannote[1996].speaker |
SPEAKER_05 |
transcript.pyannote[1996].start |
11309.09909375 |
transcript.pyannote[1996].end |
11313.72284375 |
transcript.pyannote[1997].speaker |
SPEAKER_34 |
transcript.pyannote[1997].start |
11313.77346875 |
transcript.pyannote[1997].end |
11316.49034375 |
transcript.pyannote[1998].speaker |
SPEAKER_05 |
transcript.pyannote[1998].start |
11317.72221875 |
transcript.pyannote[1998].end |
11328.23534375 |
transcript.pyannote[1999].speaker |
SPEAKER_34 |
transcript.pyannote[1999].start |
11328.64034375 |
transcript.pyannote[1999].end |
11331.76221875 |
transcript.pyannote[2000].speaker |
SPEAKER_05 |
transcript.pyannote[2000].start |
11331.44159375 |
transcript.pyannote[2000].end |
11331.49221875 |
transcript.pyannote[2001].speaker |
SPEAKER_14 |
transcript.pyannote[2001].start |
11335.22159375 |
transcript.pyannote[2001].end |
11336.47034375 |
transcript.pyannote[2002].speaker |
SPEAKER_14 |
transcript.pyannote[2002].start |
11340.84096875 |
transcript.pyannote[2002].end |
11343.47346875 |
transcript.pyannote[2003].speaker |
SPEAKER_07 |
transcript.pyannote[2003].start |
11354.12159375 |
transcript.pyannote[2003].end |
11356.75409375 |
transcript.pyannote[2004].speaker |
SPEAKER_07 |
transcript.pyannote[2004].start |
11365.32659375 |
transcript.pyannote[2004].end |
11368.02659375 |
transcript.pyannote[2005].speaker |
SPEAKER_07 |
transcript.pyannote[2005].start |
11368.44846875 |
transcript.pyannote[2005].end |
11392.69784375 |
transcript.pyannote[2006].speaker |
SPEAKER_07 |
transcript.pyannote[2006].start |
11392.93409375 |
transcript.pyannote[2006].end |
11398.53659375 |
transcript.pyannote[2007].speaker |
SPEAKER_05 |
transcript.pyannote[2007].start |
11398.70534375 |
transcript.pyannote[2007].end |
11401.64159375 |
transcript.pyannote[2008].speaker |
SPEAKER_09 |
transcript.pyannote[2008].start |
11403.46409375 |
transcript.pyannote[2008].end |
11444.79096875 |
transcript.pyannote[2009].speaker |
SPEAKER_07 |
transcript.pyannote[2009].start |
11444.79096875 |
transcript.pyannote[2009].end |
11458.83096875 |
transcript.pyannote[2010].speaker |
SPEAKER_09 |
transcript.pyannote[2010].start |
11445.01034375 |
transcript.pyannote[2010].end |
11445.36471875 |
transcript.pyannote[2011].speaker |
SPEAKER_07 |
transcript.pyannote[2011].start |
11459.01659375 |
transcript.pyannote[2011].end |
11461.29471875 |
transcript.pyannote[2012].speaker |
SPEAKER_07 |
transcript.pyannote[2012].start |
11461.66596875 |
transcript.pyannote[2012].end |
11464.24784375 |
transcript.pyannote[2013].speaker |
SPEAKER_07 |
transcript.pyannote[2013].start |
11464.48409375 |
transcript.pyannote[2013].end |
11466.86346875 |
transcript.pyannote[2014].speaker |
SPEAKER_05 |
transcript.pyannote[2014].start |
11467.45409375 |
transcript.pyannote[2014].end |
11504.02221875 |
transcript.pyannote[2015].speaker |
SPEAKER_07 |
transcript.pyannote[2015].start |
11503.00971875 |
transcript.pyannote[2015].end |
11528.15346875 |
transcript.pyannote[2016].speaker |
SPEAKER_03 |
transcript.pyannote[2016].start |
11528.84534375 |
transcript.pyannote[2016].end |
11530.49909375 |
transcript.pyannote[2017].speaker |
SPEAKER_03 |
transcript.pyannote[2017].start |
11530.80284375 |
transcript.pyannote[2017].end |
11530.90409375 |
transcript.pyannote[2018].speaker |
SPEAKER_07 |
transcript.pyannote[2018].start |
11530.90409375 |
transcript.pyannote[2018].end |
11533.36784375 |
transcript.pyannote[2019].speaker |
SPEAKER_09 |
transcript.pyannote[2019].start |
11530.98846875 |
transcript.pyannote[2019].end |
11531.03909375 |
transcript.pyannote[2020].speaker |
SPEAKER_09 |
transcript.pyannote[2020].start |
11532.77721875 |
transcript.pyannote[2020].end |
11553.63471875 |
transcript.pyannote[2021].speaker |
SPEAKER_07 |
transcript.pyannote[2021].start |
11553.29721875 |
transcript.pyannote[2021].end |
11596.69971875 |
transcript.pyannote[2022].speaker |
SPEAKER_00 |
transcript.pyannote[2022].start |
11569.17659375 |
transcript.pyannote[2022].end |
11569.59846875 |
transcript.pyannote[2023].speaker |
SPEAKER_00 |
transcript.pyannote[2023].start |
11582.45721875 |
transcript.pyannote[2023].end |
11583.57096875 |
transcript.pyannote[2024].speaker |
SPEAKER_05 |
transcript.pyannote[2024].start |
11596.59846875 |
transcript.pyannote[2024].end |
11596.61534375 |
transcript.pyannote[2025].speaker |
SPEAKER_05 |
transcript.pyannote[2025].start |
11596.69971875 |
transcript.pyannote[2025].end |
11596.80096875 |
transcript.pyannote[2026].speaker |
SPEAKER_07 |
transcript.pyannote[2026].start |
11596.80096875 |
transcript.pyannote[2026].end |
11600.31096875 |
transcript.pyannote[2027].speaker |
SPEAKER_05 |
transcript.pyannote[2027].start |
11596.81784375 |
transcript.pyannote[2027].end |
11596.91909375 |
transcript.pyannote[2028].speaker |
SPEAKER_05 |
transcript.pyannote[2028].start |
11600.31096875 |
transcript.pyannote[2028].end |
11644.08471875 |
transcript.pyannote[2029].speaker |
SPEAKER_00 |
transcript.pyannote[2029].start |
11612.49471875 |
transcript.pyannote[2029].end |
11612.52846875 |
transcript.pyannote[2030].speaker |
SPEAKER_03 |
transcript.pyannote[2030].start |
11612.52846875 |
transcript.pyannote[2030].end |
11612.96721875 |
transcript.pyannote[2031].speaker |
SPEAKER_00 |
transcript.pyannote[2031].start |
11612.96721875 |
transcript.pyannote[2031].end |
11613.05159375 |
transcript.pyannote[2032].speaker |
SPEAKER_05 |
transcript.pyannote[2032].start |
11644.42221875 |
transcript.pyannote[2032].end |
11664.18284375 |
transcript.pyannote[2033].speaker |
SPEAKER_05 |
transcript.pyannote[2033].start |
11664.46971875 |
transcript.pyannote[2033].end |
11667.54096875 |
transcript.pyannote[2034].speaker |
SPEAKER_05 |
transcript.pyannote[2034].start |
11668.06409375 |
transcript.pyannote[2034].end |
11697.52784375 |
transcript.pyannote[2035].speaker |
SPEAKER_07 |
transcript.pyannote[2035].start |
11697.56159375 |
transcript.pyannote[2035].end |
11704.91909375 |
transcript.pyannote[2036].speaker |
SPEAKER_05 |
transcript.pyannote[2036].start |
11704.44659375 |
transcript.pyannote[2036].end |
11704.48034375 |
transcript.pyannote[2037].speaker |
SPEAKER_38 |
transcript.pyannote[2037].start |
11704.48034375 |
transcript.pyannote[2037].end |
11705.13846875 |
transcript.pyannote[2038].speaker |
SPEAKER_07 |
transcript.pyannote[2038].start |
11705.02034375 |
transcript.pyannote[2038].end |
11722.73909375 |
transcript.pyannote[2039].speaker |
SPEAKER_05 |
transcript.pyannote[2039].start |
11721.57471875 |
transcript.pyannote[2039].end |
11723.61659375 |
transcript.pyannote[2040].speaker |
SPEAKER_07 |
transcript.pyannote[2040].start |
11723.98784375 |
transcript.pyannote[2040].end |
11726.87346875 |
transcript.pyannote[2041].speaker |
SPEAKER_07 |
transcript.pyannote[2041].start |
11727.39659375 |
transcript.pyannote[2041].end |
11743.54596875 |
transcript.pyannote[2042].speaker |
SPEAKER_05 |
transcript.pyannote[2042].start |
11740.55909375 |
transcript.pyannote[2042].end |
11741.28471875 |
transcript.pyannote[2043].speaker |
SPEAKER_05 |
transcript.pyannote[2043].start |
11743.54596875 |
transcript.pyannote[2043].end |
11743.66409375 |
transcript.pyannote[2044].speaker |
SPEAKER_05 |
transcript.pyannote[2044].start |
11743.78221875 |
transcript.pyannote[2044].end |
11754.68346875 |
transcript.pyannote[2045].speaker |
SPEAKER_05 |
transcript.pyannote[2045].start |
11755.12221875 |
transcript.pyannote[2045].end |
11755.93221875 |
transcript.pyannote[2046].speaker |
SPEAKER_15 |
transcript.pyannote[2046].start |
11755.93221875 |
transcript.pyannote[2046].end |
11781.48096875 |
transcript.pyannote[2047].speaker |
SPEAKER_15 |
transcript.pyannote[2047].start |
11782.13909375 |
transcript.pyannote[2047].end |
11782.15596875 |
transcript.pyannote[2048].speaker |
SPEAKER_07 |
transcript.pyannote[2048].start |
11782.15596875 |
transcript.pyannote[2048].end |
11794.96409375 |
transcript.pyannote[2049].speaker |
SPEAKER_15 |
transcript.pyannote[2049].start |
11794.96409375 |
transcript.pyannote[2049].end |
11832.00471875 |
transcript.pyannote[2050].speaker |
SPEAKER_07 |
transcript.pyannote[2050].start |
11832.00471875 |
transcript.pyannote[2050].end |
11843.96909375 |
transcript.pyannote[2051].speaker |
SPEAKER_15 |
transcript.pyannote[2051].start |
11832.02159375 |
transcript.pyannote[2051].end |
11832.46034375 |
transcript.pyannote[2052].speaker |
SPEAKER_15 |
transcript.pyannote[2052].start |
11843.96909375 |
transcript.pyannote[2052].end |
11851.02284375 |
transcript.pyannote[2053].speaker |
SPEAKER_07 |
transcript.pyannote[2053].start |
11851.02284375 |
transcript.pyannote[2053].end |
11869.55159375 |
transcript.pyannote[2054].speaker |
SPEAKER_05 |
transcript.pyannote[2054].start |
11869.55159375 |
transcript.pyannote[2054].end |
11870.74971875 |
transcript.pyannote[2055].speaker |
SPEAKER_07 |
transcript.pyannote[2055].start |
11870.74971875 |
transcript.pyannote[2055].end |
11909.37659375 |
transcript.pyannote[2056].speaker |
SPEAKER_29 |
transcript.pyannote[2056].start |
11908.63409375 |
transcript.pyannote[2056].end |
11908.65096875 |
transcript.pyannote[2057].speaker |
SPEAKER_05 |
transcript.pyannote[2057].start |
11908.65096875 |
transcript.pyannote[2057].end |
11910.32159375 |
transcript.pyannote[2058].speaker |
SPEAKER_14 |
transcript.pyannote[2058].start |
11914.86096875 |
transcript.pyannote[2058].end |
11918.97846875 |
transcript.pyannote[2059].speaker |
SPEAKER_13 |
transcript.pyannote[2059].start |
11930.43659375 |
transcript.pyannote[2059].end |
11934.18284375 |
transcript.pyannote[2060].speaker |
SPEAKER_13 |
transcript.pyannote[2060].start |
11940.67971875 |
transcript.pyannote[2060].end |
11942.90721875 |
transcript.pyannote[2061].speaker |
SPEAKER_14 |
transcript.pyannote[2061].start |
11940.76409375 |
transcript.pyannote[2061].end |
11941.11846875 |
transcript.pyannote[2062].speaker |
SPEAKER_00 |
transcript.pyannote[2062].start |
11941.11846875 |
transcript.pyannote[2062].end |
11941.16909375 |
transcript.pyannote[2063].speaker |
SPEAKER_13 |
transcript.pyannote[2063].start |
11943.32909375 |
transcript.pyannote[2063].end |
11948.17221875 |
transcript.pyannote[2064].speaker |
SPEAKER_13 |
transcript.pyannote[2064].start |
11948.86409375 |
transcript.pyannote[2064].end |
11950.11284375 |
transcript.pyannote[2065].speaker |
SPEAKER_13 |
transcript.pyannote[2065].start |
11950.73721875 |
transcript.pyannote[2065].end |
11958.85409375 |
transcript.pyannote[2066].speaker |
SPEAKER_13 |
transcript.pyannote[2066].start |
11959.54596875 |
transcript.pyannote[2066].end |
11972.08409375 |
transcript.pyannote[2067].speaker |
SPEAKER_13 |
transcript.pyannote[2067].start |
11973.01221875 |
transcript.pyannote[2067].end |
11976.20159375 |
transcript.pyannote[2068].speaker |
SPEAKER_13 |
transcript.pyannote[2068].start |
11976.72471875 |
transcript.pyannote[2068].end |
11980.38659375 |
transcript.pyannote[2069].speaker |
SPEAKER_13 |
transcript.pyannote[2069].start |
11981.34846875 |
transcript.pyannote[2069].end |
11982.56346875 |
transcript.pyannote[2070].speaker |
SPEAKER_05 |
transcript.pyannote[2070].start |
11982.56346875 |
transcript.pyannote[2070].end |
11982.64784375 |
transcript.pyannote[2071].speaker |
SPEAKER_05 |
transcript.pyannote[2071].start |
11982.79971875 |
transcript.pyannote[2071].end |
11996.02971875 |
transcript.pyannote[2072].speaker |
SPEAKER_13 |
transcript.pyannote[2072].start |
11995.97909375 |
transcript.pyannote[2072].end |
12005.54721875 |
transcript.pyannote[2073].speaker |
SPEAKER_13 |
transcript.pyannote[2073].start |
12006.01971875 |
transcript.pyannote[2073].end |
12007.65659375 |
transcript.pyannote[2074].speaker |
SPEAKER_13 |
transcript.pyannote[2074].start |
12008.11221875 |
transcript.pyannote[2074].end |
12009.22596875 |
transcript.pyannote[2075].speaker |
SPEAKER_05 |
transcript.pyannote[2075].start |
12009.39471875 |
transcript.pyannote[2075].end |
12012.46596875 |
transcript.pyannote[2076].speaker |
SPEAKER_13 |
transcript.pyannote[2076].start |
12012.46596875 |
transcript.pyannote[2076].end |
12019.89096875 |
transcript.pyannote[2077].speaker |
SPEAKER_13 |
transcript.pyannote[2077].start |
12020.43096875 |
transcript.pyannote[2077].end |
12024.26159375 |
transcript.pyannote[2078].speaker |
SPEAKER_13 |
transcript.pyannote[2078].start |
12024.91971875 |
transcript.pyannote[2078].end |
12029.15534375 |
transcript.pyannote[2079].speaker |
SPEAKER_13 |
transcript.pyannote[2079].start |
12029.47596875 |
transcript.pyannote[2079].end |
12031.99034375 |
transcript.pyannote[2080].speaker |
SPEAKER_13 |
transcript.pyannote[2080].start |
12032.86784375 |
transcript.pyannote[2080].end |
12033.98159375 |
transcript.pyannote[2081].speaker |
SPEAKER_38 |
transcript.pyannote[2081].start |
12033.32346875 |
transcript.pyannote[2081].end |
12033.88034375 |
transcript.pyannote[2082].speaker |
SPEAKER_38 |
transcript.pyannote[2082].start |
12033.98159375 |
transcript.pyannote[2082].end |
12034.03221875 |
transcript.pyannote[2083].speaker |
SPEAKER_13 |
transcript.pyannote[2083].start |
12034.03221875 |
transcript.pyannote[2083].end |
12034.16721875 |
transcript.pyannote[2084].speaker |
SPEAKER_38 |
transcript.pyannote[2084].start |
12034.16721875 |
transcript.pyannote[2084].end |
12034.18409375 |
transcript.pyannote[2085].speaker |
SPEAKER_13 |
transcript.pyannote[2085].start |
12034.18409375 |
transcript.pyannote[2085].end |
12038.14971875 |
transcript.pyannote[2086].speaker |
SPEAKER_38 |
transcript.pyannote[2086].start |
12034.20096875 |
transcript.pyannote[2086].end |
12034.85909375 |
transcript.pyannote[2087].speaker |
SPEAKER_38 |
transcript.pyannote[2087].start |
12038.38596875 |
transcript.pyannote[2087].end |
12038.58846875 |
transcript.pyannote[2088].speaker |
SPEAKER_13 |
transcript.pyannote[2088].start |
12039.19596875 |
transcript.pyannote[2088].end |
12040.64721875 |
transcript.pyannote[2089].speaker |
SPEAKER_13 |
transcript.pyannote[2089].start |
12040.90034375 |
transcript.pyannote[2089].end |
12045.49034375 |
transcript.pyannote[2090].speaker |
SPEAKER_13 |
transcript.pyannote[2090].start |
12046.65471875 |
transcript.pyannote[2090].end |
12052.10534375 |
transcript.pyannote[2091].speaker |
SPEAKER_13 |
transcript.pyannote[2091].start |
12053.10096875 |
transcript.pyannote[2091].end |
12054.11346875 |
transcript.pyannote[2092].speaker |
SPEAKER_13 |
transcript.pyannote[2092].start |
12054.51846875 |
transcript.pyannote[2092].end |
12057.58971875 |
transcript.pyannote[2093].speaker |
SPEAKER_13 |
transcript.pyannote[2093].start |
12058.43346875 |
transcript.pyannote[2093].end |
12066.56721875 |
transcript.pyannote[2094].speaker |
SPEAKER_05 |
transcript.pyannote[2094].start |
12067.00596875 |
transcript.pyannote[2094].end |
12072.33846875 |
transcript.pyannote[2095].speaker |
SPEAKER_13 |
transcript.pyannote[2095].start |
12072.54096875 |
transcript.pyannote[2095].end |
12074.78534375 |
transcript.pyannote[2096].speaker |
SPEAKER_13 |
transcript.pyannote[2096].start |
12075.05534375 |
transcript.pyannote[2096].end |
12080.37096875 |
transcript.pyannote[2097].speaker |
SPEAKER_05 |
transcript.pyannote[2097].start |
12075.64596875 |
transcript.pyannote[2097].end |
12076.55721875 |
transcript.pyannote[2098].speaker |
SPEAKER_05 |
transcript.pyannote[2098].start |
12079.88159375 |
transcript.pyannote[2098].end |
12082.66596875 |
transcript.pyannote[2099].speaker |
SPEAKER_13 |
transcript.pyannote[2099].start |
12082.66596875 |
transcript.pyannote[2099].end |
12083.03721875 |
transcript.pyannote[2100].speaker |
SPEAKER_13 |
transcript.pyannote[2100].start |
12083.25659375 |
transcript.pyannote[2100].end |
12088.47096875 |
transcript.pyannote[2101].speaker |
SPEAKER_03 |
transcript.pyannote[2101].start |
12087.30659375 |
transcript.pyannote[2101].end |
12089.02784375 |
transcript.pyannote[2102].speaker |
SPEAKER_13 |
transcript.pyannote[2102].start |
12089.01096875 |
transcript.pyannote[2102].end |
12092.60534375 |
transcript.pyannote[2103].speaker |
SPEAKER_13 |
transcript.pyannote[2103].start |
12093.49971875 |
transcript.pyannote[2103].end |
12096.35159375 |
transcript.pyannote[2104].speaker |
SPEAKER_13 |
transcript.pyannote[2104].start |
12096.65534375 |
transcript.pyannote[2104].end |
12098.34284375 |
transcript.pyannote[2105].speaker |
SPEAKER_13 |
transcript.pyannote[2105].start |
12099.43971875 |
transcript.pyannote[2105].end |
12100.63784375 |
transcript.pyannote[2106].speaker |
SPEAKER_05 |
transcript.pyannote[2106].start |
12101.17784375 |
transcript.pyannote[2106].end |
12110.17221875 |
transcript.pyannote[2107].speaker |
SPEAKER_13 |
transcript.pyannote[2107].start |
12110.17221875 |
transcript.pyannote[2107].end |
12111.85971875 |
transcript.pyannote[2108].speaker |
SPEAKER_03 |
transcript.pyannote[2108].start |
12111.85971875 |
transcript.pyannote[2108].end |
12111.96096875 |
transcript.pyannote[2109].speaker |
SPEAKER_13 |
transcript.pyannote[2109].start |
12111.96096875 |
transcript.pyannote[2109].end |
12113.93534375 |
transcript.pyannote[2110].speaker |
SPEAKER_03 |
transcript.pyannote[2110].start |
12111.99471875 |
transcript.pyannote[2110].end |
12112.45034375 |
transcript.pyannote[2111].speaker |
SPEAKER_05 |
transcript.pyannote[2111].start |
12112.45034375 |
transcript.pyannote[2111].end |
12112.53471875 |
transcript.pyannote[2112].speaker |
SPEAKER_13 |
transcript.pyannote[2112].start |
12114.64409375 |
transcript.pyannote[2112].end |
12115.55534375 |
transcript.pyannote[2113].speaker |
SPEAKER_13 |
transcript.pyannote[2113].start |
12116.50034375 |
transcript.pyannote[2113].end |
12117.90096875 |
transcript.pyannote[2114].speaker |
SPEAKER_13 |
transcript.pyannote[2114].start |
12118.40721875 |
transcript.pyannote[2114].end |
12119.87534375 |
transcript.pyannote[2115].speaker |
SPEAKER_13 |
transcript.pyannote[2115].start |
12120.83721875 |
transcript.pyannote[2115].end |
12124.41471875 |
transcript.pyannote[2116].speaker |
SPEAKER_13 |
transcript.pyannote[2116].start |
12125.44409375 |
transcript.pyannote[2116].end |
12127.90784375 |
transcript.pyannote[2117].speaker |
SPEAKER_03 |
transcript.pyannote[2117].start |
12128.51534375 |
transcript.pyannote[2117].end |
12128.83596875 |
transcript.pyannote[2118].speaker |
SPEAKER_13 |
transcript.pyannote[2118].start |
12128.97096875 |
transcript.pyannote[2118].end |
12132.09284375 |
transcript.pyannote[2119].speaker |
SPEAKER_13 |
transcript.pyannote[2119].start |
12132.97034375 |
transcript.pyannote[2119].end |
12135.41721875 |
transcript.pyannote[2120].speaker |
SPEAKER_13 |
transcript.pyannote[2120].start |
12135.58596875 |
transcript.pyannote[2120].end |
12140.02409375 |
transcript.pyannote[2121].speaker |
SPEAKER_05 |
transcript.pyannote[2121].start |
12140.02409375 |
transcript.pyannote[2121].end |
12140.54721875 |
transcript.pyannote[2122].speaker |
SPEAKER_03 |
transcript.pyannote[2122].start |
12140.54721875 |
transcript.pyannote[2122].end |
12140.71596875 |
transcript.pyannote[2123].speaker |
SPEAKER_05 |
transcript.pyannote[2123].start |
12140.71596875 |
transcript.pyannote[2123].end |
12141.30659375 |
transcript.pyannote[2124].speaker |
SPEAKER_05 |
transcript.pyannote[2124].start |
12141.72846875 |
transcript.pyannote[2124].end |
12150.97596875 |
transcript.pyannote[2125].speaker |
SPEAKER_13 |
transcript.pyannote[2125].start |
12147.21284375 |
transcript.pyannote[2125].end |
12147.41534375 |
transcript.pyannote[2126].speaker |
SPEAKER_13 |
transcript.pyannote[2126].start |
12150.97596875 |
transcript.pyannote[2126].end |
12159.31221875 |
transcript.pyannote[2127].speaker |
SPEAKER_22 |
transcript.pyannote[2127].start |
12153.25409375 |
transcript.pyannote[2127].end |
12153.74346875 |
transcript.pyannote[2128].speaker |
SPEAKER_26 |
transcript.pyannote[2128].start |
12153.74346875 |
transcript.pyannote[2128].end |
12153.77721875 |
transcript.pyannote[2129].speaker |
SPEAKER_26 |
transcript.pyannote[2129].start |
12157.82721875 |
transcript.pyannote[2129].end |
12158.63721875 |
transcript.pyannote[2130].speaker |
SPEAKER_13 |
transcript.pyannote[2130].start |
12159.98721875 |
transcript.pyannote[2130].end |
12164.91471875 |
transcript.pyannote[2131].speaker |
SPEAKER_13 |
transcript.pyannote[2131].start |
12165.30284375 |
transcript.pyannote[2131].end |
12169.53846875 |
transcript.pyannote[2132].speaker |
SPEAKER_13 |
transcript.pyannote[2132].start |
12170.33159375 |
transcript.pyannote[2132].end |
12173.50409375 |
transcript.pyannote[2133].speaker |
SPEAKER_13 |
transcript.pyannote[2133].start |
12173.89221875 |
transcript.pyannote[2133].end |
12176.77784375 |
transcript.pyannote[2134].speaker |
SPEAKER_13 |
transcript.pyannote[2134].start |
12177.08159375 |
transcript.pyannote[2134].end |
12177.68909375 |
transcript.pyannote[2135].speaker |
SPEAKER_13 |
transcript.pyannote[2135].start |
12178.17846875 |
transcript.pyannote[2135].end |
12180.47346875 |
transcript.pyannote[2136].speaker |
SPEAKER_13 |
transcript.pyannote[2136].start |
12180.87846875 |
transcript.pyannote[2136].end |
12181.40159375 |
transcript.pyannote[2137].speaker |
SPEAKER_13 |
transcript.pyannote[2137].start |
12181.80659375 |
transcript.pyannote[2137].end |
12189.51846875 |
transcript.pyannote[2138].speaker |
SPEAKER_13 |
transcript.pyannote[2138].start |
12190.02471875 |
transcript.pyannote[2138].end |
12190.61534375 |
transcript.pyannote[2139].speaker |
SPEAKER_13 |
transcript.pyannote[2139].start |
12190.95284375 |
transcript.pyannote[2139].end |
12200.03159375 |
transcript.pyannote[2140].speaker |
SPEAKER_13 |
transcript.pyannote[2140].start |
12200.57159375 |
transcript.pyannote[2140].end |
12204.50346875 |
transcript.pyannote[2141].speaker |
SPEAKER_13 |
transcript.pyannote[2141].start |
12204.87471875 |
transcript.pyannote[2141].end |
12205.07721875 |
transcript.pyannote[2142].speaker |
SPEAKER_13 |
transcript.pyannote[2142].start |
12205.95471875 |
transcript.pyannote[2142].end |
12209.44784375 |
transcript.pyannote[2143].speaker |
SPEAKER_13 |
transcript.pyannote[2143].start |
12209.97096875 |
transcript.pyannote[2143].end |
12215.47221875 |
transcript.pyannote[2144].speaker |
SPEAKER_13 |
transcript.pyannote[2144].start |
12215.91096875 |
transcript.pyannote[2144].end |
12219.30284375 |
transcript.pyannote[2145].speaker |
SPEAKER_13 |
transcript.pyannote[2145].start |
12220.36596875 |
transcript.pyannote[2145].end |
12220.80471875 |
transcript.pyannote[2146].speaker |
SPEAKER_13 |
transcript.pyannote[2146].start |
12221.61471875 |
transcript.pyannote[2146].end |
12223.06596875 |
transcript.pyannote[2147].speaker |
SPEAKER_13 |
transcript.pyannote[2147].start |
12223.82534375 |
transcript.pyannote[2147].end |
12225.02346875 |
transcript.pyannote[2148].speaker |
SPEAKER_13 |
transcript.pyannote[2148].start |
12225.47909375 |
transcript.pyannote[2148].end |
12226.57596875 |
transcript.pyannote[2149].speaker |
SPEAKER_05 |
transcript.pyannote[2149].start |
12227.09909375 |
transcript.pyannote[2149].end |
12227.67284375 |
transcript.pyannote[2150].speaker |
SPEAKER_05 |
transcript.pyannote[2150].start |
12227.97659375 |
transcript.pyannote[2150].end |
12232.27971875 |
transcript.pyannote[2151].speaker |
SPEAKER_05 |
transcript.pyannote[2151].start |
12232.34721875 |
transcript.pyannote[2151].end |
12285.72284375 |
transcript.pyannote[2152].speaker |
SPEAKER_05 |
transcript.pyannote[2152].start |
12286.09409375 |
transcript.pyannote[2152].end |
12291.78096875 |
transcript.pyannote[2153].speaker |
SPEAKER_05 |
transcript.pyannote[2153].start |
12292.01721875 |
transcript.pyannote[2153].end |
12295.89846875 |
transcript.pyannote[2154].speaker |
SPEAKER_05 |
transcript.pyannote[2154].start |
12295.94909375 |
transcript.pyannote[2154].end |
12306.36096875 |
transcript.pyannote[2155].speaker |
SPEAKER_13 |
transcript.pyannote[2155].start |
12306.37784375 |
transcript.pyannote[2155].end |
12311.01846875 |
transcript.pyannote[2156].speaker |
SPEAKER_37 |
transcript.pyannote[2156].start |
12311.49096875 |
transcript.pyannote[2156].end |
12311.57534375 |
transcript.pyannote[2157].speaker |
SPEAKER_13 |
transcript.pyannote[2157].start |
12311.57534375 |
transcript.pyannote[2157].end |
12323.10096875 |
transcript.pyannote[2158].speaker |
SPEAKER_37 |
transcript.pyannote[2158].start |
12318.88221875 |
transcript.pyannote[2158].end |
12319.70909375 |
transcript.pyannote[2159].speaker |
SPEAKER_00 |
transcript.pyannote[2159].start |
12319.70909375 |
transcript.pyannote[2159].end |
12319.74284375 |
transcript.pyannote[2160].speaker |
SPEAKER_13 |
transcript.pyannote[2160].start |
12323.50596875 |
transcript.pyannote[2160].end |
12326.62784375 |
transcript.pyannote[2161].speaker |
SPEAKER_13 |
transcript.pyannote[2161].start |
12326.89784375 |
transcript.pyannote[2161].end |
12329.53034375 |
transcript.pyannote[2162].speaker |
SPEAKER_05 |
transcript.pyannote[2162].start |
12329.41221875 |
transcript.pyannote[2162].end |
12332.14596875 |
transcript.pyannote[2163].speaker |
SPEAKER_05 |
transcript.pyannote[2163].start |
12332.46659375 |
transcript.pyannote[2163].end |
12341.62971875 |
transcript.pyannote[2164].speaker |
SPEAKER_13 |
transcript.pyannote[2164].start |
12341.62971875 |
transcript.pyannote[2164].end |
12344.68409375 |
transcript.pyannote[2165].speaker |
SPEAKER_13 |
transcript.pyannote[2165].start |
12345.10596875 |
transcript.pyannote[2165].end |
12345.44346875 |
transcript.pyannote[2166].speaker |
SPEAKER_05 |
transcript.pyannote[2166].start |
12345.44346875 |
transcript.pyannote[2166].end |
12351.46784375 |
transcript.pyannote[2167].speaker |
SPEAKER_13 |
transcript.pyannote[2167].start |
12351.46784375 |
transcript.pyannote[2167].end |
12354.42096875 |
transcript.pyannote[2168].speaker |
SPEAKER_05 |
transcript.pyannote[2168].start |
12353.79659375 |
transcript.pyannote[2168].end |
12358.48784375 |
transcript.pyannote[2169].speaker |
SPEAKER_13 |
transcript.pyannote[2169].start |
12358.48784375 |
transcript.pyannote[2169].end |
12358.67346875 |
transcript.pyannote[2170].speaker |
SPEAKER_05 |
transcript.pyannote[2170].start |
12358.67346875 |
transcript.pyannote[2170].end |
12358.70721875 |
transcript.pyannote[2171].speaker |
SPEAKER_13 |
transcript.pyannote[2171].start |
12358.70721875 |
transcript.pyannote[2171].end |
12364.52909375 |
transcript.pyannote[2172].speaker |
SPEAKER_05 |
transcript.pyannote[2172].start |
12361.44096875 |
transcript.pyannote[2172].end |
12362.57159375 |
transcript.pyannote[2173].speaker |
SPEAKER_13 |
transcript.pyannote[2173].start |
12365.00159375 |
transcript.pyannote[2173].end |
12369.30471875 |
transcript.pyannote[2174].speaker |
SPEAKER_26 |
transcript.pyannote[2174].start |
12368.08971875 |
transcript.pyannote[2174].end |
12368.10659375 |
transcript.pyannote[2175].speaker |
SPEAKER_05 |
transcript.pyannote[2175].start |
12368.10659375 |
transcript.pyannote[2175].end |
12368.12346875 |
transcript.pyannote[2176].speaker |
SPEAKER_26 |
transcript.pyannote[2176].start |
12368.12346875 |
transcript.pyannote[2176].end |
12369.91221875 |
transcript.pyannote[2177].speaker |
SPEAKER_13 |
transcript.pyannote[2177].start |
12369.60846875 |
transcript.pyannote[2177].end |
12378.01221875 |
transcript.pyannote[2178].speaker |
SPEAKER_05 |
transcript.pyannote[2178].start |
12369.91221875 |
transcript.pyannote[2178].end |
12369.92909375 |
transcript.pyannote[2179].speaker |
SPEAKER_13 |
transcript.pyannote[2179].start |
12378.65346875 |
transcript.pyannote[2179].end |
12381.42096875 |
transcript.pyannote[2180].speaker |
SPEAKER_13 |
transcript.pyannote[2180].start |
12381.67409375 |
transcript.pyannote[2180].end |
12383.59784375 |
transcript.pyannote[2181].speaker |
SPEAKER_13 |
transcript.pyannote[2181].start |
12383.81721875 |
transcript.pyannote[2181].end |
12386.38221875 |
transcript.pyannote[2182].speaker |
SPEAKER_13 |
transcript.pyannote[2182].start |
12386.97284375 |
transcript.pyannote[2182].end |
12389.43659375 |
transcript.pyannote[2183].speaker |
SPEAKER_13 |
transcript.pyannote[2183].start |
12389.79096875 |
transcript.pyannote[2183].end |
12395.14034375 |
transcript.pyannote[2184].speaker |
SPEAKER_13 |
transcript.pyannote[2184].start |
12395.98409375 |
transcript.pyannote[2184].end |
12430.52721875 |
transcript.pyannote[2185].speaker |
SPEAKER_13 |
transcript.pyannote[2185].start |
12430.84784375 |
transcript.pyannote[2185].end |
12447.38534375 |
transcript.pyannote[2186].speaker |
SPEAKER_29 |
transcript.pyannote[2186].start |
12440.77034375 |
transcript.pyannote[2186].end |
12441.24284375 |
transcript.pyannote[2187].speaker |
SPEAKER_05 |
transcript.pyannote[2187].start |
12446.94659375 |
transcript.pyannote[2187].end |
12448.43159375 |
transcript.pyannote[2188].speaker |
SPEAKER_05 |
transcript.pyannote[2188].start |
12450.11909375 |
transcript.pyannote[2188].end |
12450.13596875 |
transcript.pyannote[2189].speaker |
SPEAKER_14 |
transcript.pyannote[2189].start |
12450.13596875 |
transcript.pyannote[2189].end |
12451.67159375 |
transcript.pyannote[2190].speaker |
SPEAKER_14 |
transcript.pyannote[2190].start |
12453.52784375 |
transcript.pyannote[2190].end |
12456.68346875 |
transcript.pyannote[2191].speaker |
SPEAKER_14 |
transcript.pyannote[2191].start |
12458.35409375 |
transcript.pyannote[2191].end |
12458.82659375 |
transcript.pyannote[2192].speaker |
SPEAKER_29 |
transcript.pyannote[2192].start |
12467.39909375 |
transcript.pyannote[2192].end |
12469.23846875 |
transcript.pyannote[2193].speaker |
SPEAKER_14 |
transcript.pyannote[2193].start |
12470.09909375 |
transcript.pyannote[2193].end |
12470.58846875 |
transcript.pyannote[2194].speaker |
SPEAKER_05 |
transcript.pyannote[2194].start |
12478.36784375 |
transcript.pyannote[2194].end |
12478.65471875 |
transcript.pyannote[2195].speaker |
SPEAKER_29 |
transcript.pyannote[2195].start |
12480.07221875 |
transcript.pyannote[2195].end |
12482.41784375 |
transcript.pyannote[2196].speaker |
SPEAKER_05 |
transcript.pyannote[2196].start |
12483.83534375 |
transcript.pyannote[2196].end |
12484.27409375 |
transcript.pyannote[2197].speaker |
SPEAKER_29 |
transcript.pyannote[2197].start |
12485.15159375 |
transcript.pyannote[2197].end |
12486.48471875 |
transcript.pyannote[2198].speaker |
SPEAKER_05 |
transcript.pyannote[2198].start |
12486.73784375 |
transcript.pyannote[2198].end |
12490.43346875 |
transcript.pyannote[2199].speaker |
SPEAKER_29 |
transcript.pyannote[2199].start |
12488.02034375 |
transcript.pyannote[2199].end |
12488.35784375 |
transcript.pyannote[2200].speaker |
SPEAKER_05 |
transcript.pyannote[2200].start |
12490.61909375 |
transcript.pyannote[2200].end |
12505.63784375 |
transcript.pyannote[2201].speaker |
SPEAKER_04 |
transcript.pyannote[2201].start |
12494.82096875 |
transcript.pyannote[2201].end |
12495.22596875 |
transcript.pyannote[2202].speaker |
SPEAKER_04 |
transcript.pyannote[2202].start |
12499.22534375 |
transcript.pyannote[2202].end |
12499.25909375 |
transcript.pyannote[2203].speaker |
SPEAKER_29 |
transcript.pyannote[2203].start |
12499.25909375 |
transcript.pyannote[2203].end |
12499.56284375 |
transcript.pyannote[2204].speaker |
SPEAKER_29 |
transcript.pyannote[2204].start |
12501.16596875 |
transcript.pyannote[2204].end |
12501.57096875 |
transcript.pyannote[2205].speaker |
SPEAKER_29 |
transcript.pyannote[2205].start |
12505.65471875 |
transcript.pyannote[2205].end |
12508.86096875 |
transcript.pyannote[2206].speaker |
SPEAKER_29 |
transcript.pyannote[2206].start |
12509.94096875 |
transcript.pyannote[2206].end |
12515.99909375 |
transcript.pyannote[2207].speaker |
SPEAKER_29 |
transcript.pyannote[2207].start |
12516.48846875 |
transcript.pyannote[2207].end |
12518.88471875 |
transcript.pyannote[2208].speaker |
SPEAKER_03 |
transcript.pyannote[2208].start |
12518.12534375 |
transcript.pyannote[2208].end |
12518.44596875 |
transcript.pyannote[2209].speaker |
SPEAKER_03 |
transcript.pyannote[2209].start |
12518.54721875 |
transcript.pyannote[2209].end |
12518.66534375 |
transcript.pyannote[2210].speaker |
SPEAKER_29 |
transcript.pyannote[2210].start |
12518.96909375 |
transcript.pyannote[2210].end |
12520.30221875 |
transcript.pyannote[2211].speaker |
SPEAKER_29 |
transcript.pyannote[2211].start |
12521.80409375 |
transcript.pyannote[2211].end |
12526.37721875 |
transcript.pyannote[2212].speaker |
SPEAKER_29 |
transcript.pyannote[2212].start |
12527.15346875 |
transcript.pyannote[2212].end |
12527.99721875 |
transcript.pyannote[2213].speaker |
SPEAKER_29 |
transcript.pyannote[2213].start |
12528.13221875 |
transcript.pyannote[2213].end |
12532.46909375 |
transcript.pyannote[2214].speaker |
SPEAKER_29 |
transcript.pyannote[2214].start |
12533.05971875 |
transcript.pyannote[2214].end |
12535.10159375 |
transcript.pyannote[2215].speaker |
SPEAKER_29 |
transcript.pyannote[2215].start |
12535.81034375 |
transcript.pyannote[2215].end |
12539.67471875 |
transcript.pyannote[2216].speaker |
SPEAKER_29 |
transcript.pyannote[2216].start |
12541.32846875 |
transcript.pyannote[2216].end |
12550.93034375 |
transcript.pyannote[2217].speaker |
SPEAKER_29 |
transcript.pyannote[2217].start |
12551.40284375 |
transcript.pyannote[2217].end |
12560.97096875 |
transcript.pyannote[2218].speaker |
SPEAKER_29 |
transcript.pyannote[2218].start |
12561.51096875 |
transcript.pyannote[2218].end |
12562.16909375 |
transcript.pyannote[2219].speaker |
SPEAKER_29 |
transcript.pyannote[2219].start |
12562.59096875 |
transcript.pyannote[2219].end |
12563.90721875 |
transcript.pyannote[2220].speaker |
SPEAKER_29 |
transcript.pyannote[2220].start |
12565.03784375 |
transcript.pyannote[2220].end |
12567.83909375 |
transcript.pyannote[2221].speaker |
SPEAKER_29 |
transcript.pyannote[2221].start |
12568.31159375 |
transcript.pyannote[2221].end |
12569.18909375 |
transcript.pyannote[2222].speaker |
SPEAKER_29 |
transcript.pyannote[2222].start |
12569.79659375 |
transcript.pyannote[2222].end |
12571.12971875 |
transcript.pyannote[2223].speaker |
SPEAKER_29 |
transcript.pyannote[2223].start |
12571.90596875 |
transcript.pyannote[2223].end |
12573.32346875 |
transcript.pyannote[2224].speaker |
SPEAKER_29 |
transcript.pyannote[2224].start |
12574.06596875 |
transcript.pyannote[2224].end |
12575.07846875 |
transcript.pyannote[2225].speaker |
SPEAKER_29 |
transcript.pyannote[2225].start |
12575.77034375 |
transcript.pyannote[2225].end |
12579.02721875 |
transcript.pyannote[2226].speaker |
SPEAKER_29 |
transcript.pyannote[2226].start |
12581.11971875 |
transcript.pyannote[2226].end |
12593.69159375 |
transcript.pyannote[2227].speaker |
SPEAKER_29 |
transcript.pyannote[2227].start |
12594.48471875 |
transcript.pyannote[2227].end |
12596.86409375 |
transcript.pyannote[2228].speaker |
SPEAKER_29 |
transcript.pyannote[2228].start |
12597.48846875 |
transcript.pyannote[2228].end |
12599.95221875 |
transcript.pyannote[2229].speaker |
SPEAKER_29 |
transcript.pyannote[2229].start |
12600.89721875 |
transcript.pyannote[2229].end |
12604.49159375 |
transcript.pyannote[2230].speaker |
SPEAKER_29 |
transcript.pyannote[2230].start |
12605.16659375 |
transcript.pyannote[2230].end |
12605.95971875 |
transcript.pyannote[2231].speaker |
SPEAKER_29 |
transcript.pyannote[2231].start |
12606.41534375 |
transcript.pyannote[2231].end |
12610.49909375 |
transcript.pyannote[2232].speaker |
SPEAKER_29 |
transcript.pyannote[2232].start |
12611.02221875 |
transcript.pyannote[2232].end |
12617.82284375 |
transcript.pyannote[2233].speaker |
SPEAKER_29 |
transcript.pyannote[2233].start |
12618.66659375 |
transcript.pyannote[2233].end |
12629.87159375 |
transcript.pyannote[2234].speaker |
SPEAKER_29 |
transcript.pyannote[2234].start |
12630.56346875 |
transcript.pyannote[2234].end |
12634.27596875 |
transcript.pyannote[2235].speaker |
SPEAKER_05 |
transcript.pyannote[2235].start |
12635.32221875 |
transcript.pyannote[2235].end |
12669.57846875 |
transcript.pyannote[2236].speaker |
SPEAKER_37 |
transcript.pyannote[2236].start |
12641.00909375 |
transcript.pyannote[2236].end |
12641.36346875 |
transcript.pyannote[2237].speaker |
SPEAKER_04 |
transcript.pyannote[2237].start |
12646.71284375 |
transcript.pyannote[2237].end |
12647.13471875 |
transcript.pyannote[2238].speaker |
SPEAKER_04 |
transcript.pyannote[2238].start |
12651.85971875 |
transcript.pyannote[2238].end |
12653.07471875 |
transcript.pyannote[2239].speaker |
SPEAKER_37 |
transcript.pyannote[2239].start |
12662.03534375 |
transcript.pyannote[2239].end |
12662.05221875 |
transcript.pyannote[2240].speaker |
SPEAKER_29 |
transcript.pyannote[2240].start |
12669.17346875 |
transcript.pyannote[2240].end |
12674.08409375 |
transcript.pyannote[2241].speaker |
SPEAKER_05 |
transcript.pyannote[2241].start |
12671.04659375 |
transcript.pyannote[2241].end |
12672.39659375 |
transcript.pyannote[2242].speaker |
SPEAKER_29 |
transcript.pyannote[2242].start |
12674.50596875 |
transcript.pyannote[2242].end |
12676.78409375 |
transcript.pyannote[2243].speaker |
SPEAKER_05 |
transcript.pyannote[2243].start |
12677.15534375 |
transcript.pyannote[2243].end |
12680.69909375 |
transcript.pyannote[2244].speaker |
SPEAKER_11 |
transcript.pyannote[2244].start |
12681.99846875 |
transcript.pyannote[2244].end |
12720.10221875 |
transcript.pyannote[2245].speaker |
SPEAKER_11 |
transcript.pyannote[2245].start |
12720.30471875 |
transcript.pyannote[2245].end |
12722.97096875 |
transcript.pyannote[2246].speaker |
SPEAKER_29 |
transcript.pyannote[2246].start |
12722.97096875 |
transcript.pyannote[2246].end |
12725.13096875 |
transcript.pyannote[2247].speaker |
SPEAKER_05 |
transcript.pyannote[2247].start |
12725.14784375 |
transcript.pyannote[2247].end |
12727.91534375 |
transcript.pyannote[2248].speaker |
SPEAKER_29 |
transcript.pyannote[2248].start |
12727.39221875 |
transcript.pyannote[2248].end |
12729.01221875 |
transcript.pyannote[2249].speaker |
SPEAKER_05 |
transcript.pyannote[2249].start |
12728.86034375 |
transcript.pyannote[2249].end |
12731.00346875 |
transcript.pyannote[2250].speaker |
SPEAKER_11 |
transcript.pyannote[2250].start |
12729.01221875 |
transcript.pyannote[2250].end |
12729.29909375 |
transcript.pyannote[2251].speaker |
SPEAKER_29 |
transcript.pyannote[2251].start |
12729.29909375 |
transcript.pyannote[2251].end |
12729.45096875 |
transcript.pyannote[2252].speaker |
SPEAKER_11 |
transcript.pyannote[2252].start |
12729.45096875 |
transcript.pyannote[2252].end |
12730.21034375 |
transcript.pyannote[2253].speaker |
SPEAKER_11 |
transcript.pyannote[2253].start |
12731.22284375 |
transcript.pyannote[2253].end |
12732.11721875 |
transcript.pyannote[2254].speaker |
SPEAKER_05 |
transcript.pyannote[2254].start |
12731.88096875 |
transcript.pyannote[2254].end |
12732.60659375 |
transcript.pyannote[2255].speaker |
SPEAKER_11 |
transcript.pyannote[2255].start |
12732.60659375 |
transcript.pyannote[2255].end |
12737.23034375 |
transcript.pyannote[2256].speaker |
SPEAKER_29 |
transcript.pyannote[2256].start |
12734.47971875 |
transcript.pyannote[2256].end |
12734.59784375 |
transcript.pyannote[2257].speaker |
SPEAKER_05 |
transcript.pyannote[2257].start |
12734.59784375 |
transcript.pyannote[2257].end |
12734.78346875 |
transcript.pyannote[2258].speaker |
SPEAKER_29 |
transcript.pyannote[2258].start |
12734.78346875 |
transcript.pyannote[2258].end |
12735.03659375 |
transcript.pyannote[2259].speaker |
SPEAKER_29 |
transcript.pyannote[2259].start |
12735.13784375 |
transcript.pyannote[2259].end |
12735.18846875 |
transcript.pyannote[2260].speaker |
SPEAKER_29 |
transcript.pyannote[2260].start |
12735.37409375 |
transcript.pyannote[2260].end |
12735.49221875 |
transcript.pyannote[2261].speaker |
SPEAKER_05 |
transcript.pyannote[2261].start |
12735.49221875 |
transcript.pyannote[2261].end |
12735.96471875 |
transcript.pyannote[2262].speaker |
SPEAKER_29 |
transcript.pyannote[2262].start |
12735.96471875 |
transcript.pyannote[2262].end |
12736.40346875 |
transcript.pyannote[2263].speaker |
SPEAKER_29 |
transcript.pyannote[2263].start |
12736.72409375 |
transcript.pyannote[2263].end |
12737.17971875 |
transcript.pyannote[2264].speaker |
SPEAKER_29 |
transcript.pyannote[2264].start |
12737.23034375 |
transcript.pyannote[2264].end |
12742.69784375 |
transcript.pyannote[2265].speaker |
SPEAKER_29 |
transcript.pyannote[2265].start |
12742.79909375 |
transcript.pyannote[2265].end |
12745.48221875 |
transcript.pyannote[2266].speaker |
SPEAKER_29 |
transcript.pyannote[2266].start |
12745.95471875 |
transcript.pyannote[2266].end |
12747.92909375 |
transcript.pyannote[2267].speaker |
SPEAKER_29 |
transcript.pyannote[2267].start |
12747.96284375 |
transcript.pyannote[2267].end |
12747.97971875 |
transcript.pyannote[2268].speaker |
SPEAKER_29 |
transcript.pyannote[2268].start |
12748.09784375 |
transcript.pyannote[2268].end |
12749.36346875 |
transcript.pyannote[2269].speaker |
SPEAKER_29 |
transcript.pyannote[2269].start |
12749.97096875 |
transcript.pyannote[2269].end |
12751.45596875 |
transcript.pyannote[2270].speaker |
SPEAKER_29 |
transcript.pyannote[2270].start |
12752.46846875 |
transcript.pyannote[2270].end |
12754.78034375 |
transcript.pyannote[2271].speaker |
SPEAKER_29 |
transcript.pyannote[2271].start |
12755.57346875 |
transcript.pyannote[2271].end |
12756.40034375 |
transcript.pyannote[2272].speaker |
SPEAKER_29 |
transcript.pyannote[2272].start |
12756.77159375 |
transcript.pyannote[2272].end |
12758.20596875 |
transcript.pyannote[2273].speaker |
SPEAKER_29 |
transcript.pyannote[2273].start |
12758.69534375 |
transcript.pyannote[2273].end |
12760.33221875 |
transcript.pyannote[2274].speaker |
SPEAKER_29 |
transcript.pyannote[2274].start |
12760.82159375 |
transcript.pyannote[2274].end |
12763.36971875 |
transcript.pyannote[2275].speaker |
SPEAKER_29 |
transcript.pyannote[2275].start |
12763.74096875 |
transcript.pyannote[2275].end |
12770.06909375 |
transcript.pyannote[2276].speaker |
SPEAKER_29 |
transcript.pyannote[2276].start |
12770.30534375 |
transcript.pyannote[2276].end |
12775.58721875 |
transcript.pyannote[2277].speaker |
SPEAKER_29 |
transcript.pyannote[2277].start |
12775.77284375 |
transcript.pyannote[2277].end |
12780.04221875 |
transcript.pyannote[2278].speaker |
SPEAKER_29 |
transcript.pyannote[2278].start |
12780.49784375 |
transcript.pyannote[2278].end |
12793.62659375 |
transcript.pyannote[2279].speaker |
SPEAKER_29 |
transcript.pyannote[2279].start |
12794.16659375 |
transcript.pyannote[2279].end |
12799.76909375 |
transcript.pyannote[2280].speaker |
SPEAKER_29 |
transcript.pyannote[2280].start |
12800.32596875 |
transcript.pyannote[2280].end |
12813.28596875 |
transcript.pyannote[2281].speaker |
SPEAKER_29 |
transcript.pyannote[2281].start |
12813.89346875 |
transcript.pyannote[2281].end |
12816.22221875 |
transcript.pyannote[2282].speaker |
SPEAKER_29 |
transcript.pyannote[2282].start |
12816.82971875 |
transcript.pyannote[2282].end |
12820.54221875 |
transcript.pyannote[2283].speaker |
SPEAKER_29 |
transcript.pyannote[2283].start |
12821.79096875 |
transcript.pyannote[2283].end |
12822.17909375 |
transcript.pyannote[2284].speaker |
SPEAKER_29 |
transcript.pyannote[2284].start |
12822.39846875 |
transcript.pyannote[2284].end |
12826.48221875 |
transcript.pyannote[2285].speaker |
SPEAKER_29 |
transcript.pyannote[2285].start |
12827.02221875 |
transcript.pyannote[2285].end |
12830.93721875 |
transcript.pyannote[2286].speaker |
SPEAKER_05 |
transcript.pyannote[2286].start |
12831.15659375 |
transcript.pyannote[2286].end |
12833.19846875 |
transcript.pyannote[2287].speaker |
SPEAKER_29 |
transcript.pyannote[2287].start |
12834.48096875 |
transcript.pyannote[2287].end |
12837.53534375 |
transcript.pyannote[2288].speaker |
SPEAKER_05 |
transcript.pyannote[2288].start |
12838.02471875 |
transcript.pyannote[2288].end |
12848.84159375 |
transcript.pyannote[2289].speaker |
SPEAKER_29 |
transcript.pyannote[2289].start |
12838.15971875 |
transcript.pyannote[2289].end |
12838.53096875 |
transcript.pyannote[2290].speaker |
SPEAKER_29 |
transcript.pyannote[2290].start |
12839.03721875 |
transcript.pyannote[2290].end |
12839.12159375 |
transcript.pyannote[2291].speaker |
SPEAKER_29 |
transcript.pyannote[2291].start |
12843.61034375 |
transcript.pyannote[2291].end |
12843.99846875 |
transcript.pyannote[2292].speaker |
SPEAKER_29 |
transcript.pyannote[2292].start |
12848.21721875 |
transcript.pyannote[2292].end |
12848.72346875 |
transcript.pyannote[2293].speaker |
SPEAKER_29 |
transcript.pyannote[2293].start |
12848.75721875 |
transcript.pyannote[2293].end |
12848.77409375 |
transcript.pyannote[2294].speaker |
SPEAKER_29 |
transcript.pyannote[2294].start |
12848.84159375 |
transcript.pyannote[2294].end |
12853.53284375 |
transcript.pyannote[2295].speaker |
SPEAKER_05 |
transcript.pyannote[2295].start |
12848.97659375 |
transcript.pyannote[2295].end |
12849.09471875 |
transcript.pyannote[2296].speaker |
SPEAKER_29 |
transcript.pyannote[2296].start |
12853.95471875 |
transcript.pyannote[2296].end |
12856.01346875 |
transcript.pyannote[2297].speaker |
SPEAKER_29 |
transcript.pyannote[2297].start |
12856.78971875 |
transcript.pyannote[2297].end |
12859.96221875 |
transcript.pyannote[2298].speaker |
SPEAKER_29 |
transcript.pyannote[2298].start |
12860.38409375 |
transcript.pyannote[2298].end |
12863.10096875 |
transcript.pyannote[2299].speaker |
SPEAKER_29 |
transcript.pyannote[2299].start |
12864.23159375 |
transcript.pyannote[2299].end |
12865.81784375 |
transcript.pyannote[2300].speaker |
SPEAKER_29 |
transcript.pyannote[2300].start |
12867.53909375 |
transcript.pyannote[2300].end |
12870.91409375 |
transcript.pyannote[2301].speaker |
SPEAKER_29 |
transcript.pyannote[2301].start |
12871.33596875 |
transcript.pyannote[2301].end |
12873.25971875 |
transcript.pyannote[2302].speaker |
SPEAKER_29 |
transcript.pyannote[2302].start |
12874.08659375 |
transcript.pyannote[2302].end |
12874.60971875 |
transcript.pyannote[2303].speaker |
SPEAKER_29 |
transcript.pyannote[2303].start |
12875.13284375 |
transcript.pyannote[2303].end |
12878.03534375 |
transcript.pyannote[2304].speaker |
SPEAKER_29 |
transcript.pyannote[2304].start |
12878.72721875 |
transcript.pyannote[2304].end |
12880.26284375 |
transcript.pyannote[2305].speaker |
SPEAKER_29 |
transcript.pyannote[2305].start |
12880.66784375 |
transcript.pyannote[2305].end |
12881.89971875 |
transcript.pyannote[2306].speaker |
SPEAKER_29 |
transcript.pyannote[2306].start |
12882.86159375 |
transcript.pyannote[2306].end |
12885.34221875 |
transcript.pyannote[2307].speaker |
SPEAKER_29 |
transcript.pyannote[2307].start |
12886.11846875 |
transcript.pyannote[2307].end |
12886.87784375 |
transcript.pyannote[2308].speaker |
SPEAKER_29 |
transcript.pyannote[2308].start |
12887.56971875 |
transcript.pyannote[2308].end |
12893.61096875 |
transcript.pyannote[2309].speaker |
SPEAKER_29 |
transcript.pyannote[2309].start |
12894.30284375 |
transcript.pyannote[2309].end |
12895.09596875 |
transcript.pyannote[2310].speaker |
SPEAKER_29 |
transcript.pyannote[2310].start |
12895.51784375 |
transcript.pyannote[2310].end |
12898.85909375 |
transcript.pyannote[2311].speaker |
SPEAKER_29 |
transcript.pyannote[2311].start |
12899.28096875 |
transcript.pyannote[2311].end |
12901.76159375 |
transcript.pyannote[2312].speaker |
SPEAKER_29 |
transcript.pyannote[2312].start |
12903.07784375 |
transcript.pyannote[2312].end |
12908.02221875 |
transcript.pyannote[2313].speaker |
SPEAKER_29 |
transcript.pyannote[2313].start |
12908.52846875 |
transcript.pyannote[2313].end |
12910.03034375 |
transcript.pyannote[2314].speaker |
SPEAKER_29 |
transcript.pyannote[2314].start |
12910.48596875 |
transcript.pyannote[2314].end |
12911.02596875 |
transcript.pyannote[2315].speaker |
SPEAKER_29 |
transcript.pyannote[2315].start |
12911.46471875 |
transcript.pyannote[2315].end |
12916.89846875 |
transcript.pyannote[2316].speaker |
SPEAKER_29 |
transcript.pyannote[2316].start |
12917.08409375 |
transcript.pyannote[2316].end |
12918.70409375 |
transcript.pyannote[2317].speaker |
SPEAKER_29 |
transcript.pyannote[2317].start |
12918.92346875 |
transcript.pyannote[2317].end |
12926.46659375 |
transcript.pyannote[2318].speaker |
SPEAKER_29 |
transcript.pyannote[2318].start |
12926.78721875 |
transcript.pyannote[2318].end |
12927.90096875 |
transcript.pyannote[2319].speaker |
SPEAKER_29 |
transcript.pyannote[2319].start |
12928.86284375 |
transcript.pyannote[2319].end |
12930.09471875 |
transcript.pyannote[2320].speaker |
SPEAKER_29 |
transcript.pyannote[2320].start |
12930.41534375 |
transcript.pyannote[2320].end |
12939.20721875 |
transcript.pyannote[2321].speaker |
SPEAKER_29 |
transcript.pyannote[2321].start |
12939.40971875 |
transcript.pyannote[2321].end |
12941.56971875 |
transcript.pyannote[2322].speaker |
SPEAKER_05 |
transcript.pyannote[2322].start |
12943.67909375 |
transcript.pyannote[2322].end |
12949.97346875 |
transcript.pyannote[2323].speaker |
SPEAKER_29 |
transcript.pyannote[2323].start |
12949.97346875 |
transcript.pyannote[2323].end |
12952.67346875 |
transcript.pyannote[2324].speaker |
SPEAKER_05 |
transcript.pyannote[2324].start |
12952.67346875 |
transcript.pyannote[2324].end |
12954.14159375 |
transcript.pyannote[2325].speaker |
SPEAKER_29 |
transcript.pyannote[2325].start |
12952.70721875 |
transcript.pyannote[2325].end |
12953.21346875 |
transcript.pyannote[2326].speaker |
SPEAKER_29 |
transcript.pyannote[2326].start |
12954.14159375 |
transcript.pyannote[2326].end |
12964.38471875 |
transcript.pyannote[2327].speaker |
SPEAKER_05 |
transcript.pyannote[2327].start |
12954.51284375 |
transcript.pyannote[2327].end |
12955.74471875 |
transcript.pyannote[2328].speaker |
SPEAKER_05 |
transcript.pyannote[2328].start |
12955.87971875 |
transcript.pyannote[2328].end |
12956.52096875 |
transcript.pyannote[2329].speaker |
SPEAKER_05 |
transcript.pyannote[2329].start |
12961.38096875 |
transcript.pyannote[2329].end |
12961.83659375 |
transcript.pyannote[2330].speaker |
SPEAKER_29 |
transcript.pyannote[2330].start |
12964.43534375 |
transcript.pyannote[2330].end |
12969.90284375 |
transcript.pyannote[2331].speaker |
SPEAKER_05 |
transcript.pyannote[2331].start |
12969.90284375 |
transcript.pyannote[2331].end |
12969.95346875 |
transcript.pyannote[2332].speaker |
SPEAKER_29 |
transcript.pyannote[2332].start |
12969.95346875 |
transcript.pyannote[2332].end |
12972.55221875 |
transcript.pyannote[2333].speaker |
SPEAKER_05 |
transcript.pyannote[2333].start |
12969.98721875 |
transcript.pyannote[2333].end |
12970.10534375 |
transcript.pyannote[2334].speaker |
SPEAKER_05 |
transcript.pyannote[2334].start |
12972.88971875 |
transcript.pyannote[2334].end |
12979.67346875 |
transcript.pyannote[2335].speaker |
SPEAKER_29 |
transcript.pyannote[2335].start |
12979.03221875 |
transcript.pyannote[2335].end |
12979.62284375 |
transcript.pyannote[2336].speaker |
SPEAKER_29 |
transcript.pyannote[2336].start |
12979.67346875 |
transcript.pyannote[2336].end |
12982.44096875 |
transcript.pyannote[2337].speaker |
SPEAKER_05 |
transcript.pyannote[2337].start |
12982.81221875 |
transcript.pyannote[2337].end |
12983.03159375 |
transcript.pyannote[2338].speaker |
SPEAKER_05 |
transcript.pyannote[2338].start |
12983.50409375 |
transcript.pyannote[2338].end |
12993.81471875 |
transcript.pyannote[2339].speaker |
SPEAKER_29 |
transcript.pyannote[2339].start |
12994.08471875 |
transcript.pyannote[2339].end |
12997.98284375 |
transcript.pyannote[2340].speaker |
SPEAKER_05 |
transcript.pyannote[2340].start |
12998.99534375 |
transcript.pyannote[2340].end |
13000.17659375 |
transcript.pyannote[2341].speaker |
SPEAKER_29 |
transcript.pyannote[2341].start |
13001.61096875 |
transcript.pyannote[2341].end |
13002.37034375 |
transcript.pyannote[2342].speaker |
SPEAKER_29 |
transcript.pyannote[2342].start |
13003.48409375 |
transcript.pyannote[2342].end |
13003.90596875 |
transcript.pyannote[2343].speaker |
SPEAKER_29 |
transcript.pyannote[2343].start |
13004.42909375 |
transcript.pyannote[2343].end |
13007.65221875 |
transcript.pyannote[2344].speaker |
SPEAKER_29 |
transcript.pyannote[2344].start |
13008.34409375 |
transcript.pyannote[2344].end |
13012.93409375 |
transcript.pyannote[2345].speaker |
SPEAKER_29 |
transcript.pyannote[2345].start |
13013.44034375 |
transcript.pyannote[2345].end |
13020.08909375 |
transcript.pyannote[2346].speaker |
SPEAKER_05 |
transcript.pyannote[2346].start |
13021.23659375 |
transcript.pyannote[2346].end |
13021.35471875 |
transcript.pyannote[2347].speaker |
SPEAKER_05 |
transcript.pyannote[2347].start |
13021.65846875 |
transcript.pyannote[2347].end |
13022.33346875 |
transcript.pyannote[2348].speaker |
SPEAKER_05 |
transcript.pyannote[2348].start |
13023.16034375 |
transcript.pyannote[2348].end |
13042.63409375 |
transcript.pyannote[2349].speaker |
SPEAKER_29 |
transcript.pyannote[2349].start |
13042.16159375 |
transcript.pyannote[2349].end |
13047.35909375 |
transcript.pyannote[2350].speaker |
SPEAKER_05 |
transcript.pyannote[2350].start |
13048.03409375 |
transcript.pyannote[2350].end |
13061.17971875 |
transcript.pyannote[2351].speaker |
SPEAKER_29 |
transcript.pyannote[2351].start |
13061.39909375 |
transcript.pyannote[2351].end |
13061.71971875 |
transcript.pyannote[2352].speaker |
SPEAKER_29 |
transcript.pyannote[2352].start |
13061.75346875 |
transcript.pyannote[2352].end |
13062.69846875 |
transcript.pyannote[2353].speaker |
SPEAKER_29 |
transcript.pyannote[2353].start |
13063.32284375 |
transcript.pyannote[2353].end |
13065.28034375 |
transcript.pyannote[2354].speaker |
SPEAKER_29 |
transcript.pyannote[2354].start |
13065.43221875 |
transcript.pyannote[2354].end |
13065.44909375 |
transcript.pyannote[2355].speaker |
SPEAKER_05 |
transcript.pyannote[2355].start |
13065.44909375 |
transcript.pyannote[2355].end |
13065.49971875 |
transcript.pyannote[2356].speaker |
SPEAKER_29 |
transcript.pyannote[2356].start |
13065.49971875 |
transcript.pyannote[2356].end |
13065.78659375 |
transcript.pyannote[2357].speaker |
SPEAKER_38 |
transcript.pyannote[2357].start |
13065.78659375 |
transcript.pyannote[2357].end |
13065.82034375 |
transcript.pyannote[2358].speaker |
SPEAKER_29 |
transcript.pyannote[2358].start |
13065.82034375 |
transcript.pyannote[2358].end |
13065.88784375 |
transcript.pyannote[2359].speaker |
SPEAKER_29 |
transcript.pyannote[2359].start |
13066.07346875 |
transcript.pyannote[2359].end |
13066.73159375 |
transcript.pyannote[2360].speaker |
SPEAKER_29 |
transcript.pyannote[2360].start |
13067.38971875 |
transcript.pyannote[2360].end |
13068.04784375 |
transcript.pyannote[2361].speaker |
SPEAKER_29 |
transcript.pyannote[2361].start |
13068.63846875 |
transcript.pyannote[2361].end |
13069.06034375 |
transcript.pyannote[2362].speaker |
SPEAKER_29 |
transcript.pyannote[2362].start |
13069.81971875 |
transcript.pyannote[2362].end |
13070.35971875 |
transcript.pyannote[2363].speaker |
SPEAKER_29 |
transcript.pyannote[2363].start |
13071.20346875 |
transcript.pyannote[2363].end |
13074.88221875 |
transcript.pyannote[2364].speaker |
SPEAKER_29 |
transcript.pyannote[2364].start |
13075.96221875 |
transcript.pyannote[2364].end |
13076.18159375 |
transcript.pyannote[2365].speaker |
SPEAKER_29 |
transcript.pyannote[2365].start |
13076.83971875 |
transcript.pyannote[2365].end |
13079.96159375 |
transcript.pyannote[2366].speaker |
SPEAKER_38 |
transcript.pyannote[2366].start |
13081.02471875 |
transcript.pyannote[2366].end |
13081.21034375 |
transcript.pyannote[2367].speaker |
SPEAKER_29 |
transcript.pyannote[2367].start |
13081.42971875 |
transcript.pyannote[2367].end |
13083.48846875 |
transcript.pyannote[2368].speaker |
SPEAKER_29 |
transcript.pyannote[2368].start |
13084.80471875 |
transcript.pyannote[2368].end |
13089.09096875 |
transcript.pyannote[2369].speaker |
SPEAKER_29 |
transcript.pyannote[2369].start |
13089.63096875 |
transcript.pyannote[2369].end |
13089.74909375 |
transcript.pyannote[2370].speaker |
SPEAKER_29 |
transcript.pyannote[2370].start |
13089.78284375 |
transcript.pyannote[2370].end |
13089.79971875 |
transcript.pyannote[2371].speaker |
SPEAKER_05 |
transcript.pyannote[2371].start |
13089.81659375 |
transcript.pyannote[2371].end |
13090.33971875 |
transcript.pyannote[2372].speaker |
SPEAKER_29 |
transcript.pyannote[2372].start |
13090.00221875 |
transcript.pyannote[2372].end |
13092.78659375 |
transcript.pyannote[2373].speaker |
SPEAKER_05 |
transcript.pyannote[2373].start |
13092.78659375 |
transcript.pyannote[2373].end |
13092.80346875 |
transcript.pyannote[2374].speaker |
SPEAKER_05 |
transcript.pyannote[2374].start |
13093.05659375 |
transcript.pyannote[2374].end |
13099.97534375 |
transcript.pyannote[2375].speaker |
SPEAKER_05 |
transcript.pyannote[2375].start |
13100.49846875 |
transcript.pyannote[2375].end |
13102.70909375 |
transcript.pyannote[2376].speaker |
SPEAKER_05 |
transcript.pyannote[2376].start |
13103.02971875 |
transcript.pyannote[2376].end |
13107.97409375 |
transcript.pyannote[2377].speaker |
SPEAKER_29 |
transcript.pyannote[2377].start |
13108.10909375 |
transcript.pyannote[2377].end |
13111.88909375 |
transcript.pyannote[2378].speaker |
SPEAKER_38 |
transcript.pyannote[2378].start |
13111.88909375 |
transcript.pyannote[2378].end |
13111.90596875 |
transcript.pyannote[2379].speaker |
SPEAKER_05 |
transcript.pyannote[2379].start |
13111.90596875 |
transcript.pyannote[2379].end |
13111.97346875 |
transcript.pyannote[2380].speaker |
SPEAKER_38 |
transcript.pyannote[2380].start |
13111.97346875 |
transcript.pyannote[2380].end |
13112.02409375 |
transcript.pyannote[2381].speaker |
SPEAKER_29 |
transcript.pyannote[2381].start |
13112.02409375 |
transcript.pyannote[2381].end |
13117.84596875 |
transcript.pyannote[2382].speaker |
SPEAKER_38 |
transcript.pyannote[2382].start |
13112.19284375 |
transcript.pyannote[2382].end |
13112.36159375 |
transcript.pyannote[2383].speaker |
SPEAKER_04 |
transcript.pyannote[2383].start |
13113.22221875 |
transcript.pyannote[2383].end |
13113.23909375 |
transcript.pyannote[2384].speaker |
SPEAKER_05 |
transcript.pyannote[2384].start |
13113.23909375 |
transcript.pyannote[2384].end |
13113.44159375 |
transcript.pyannote[2385].speaker |
SPEAKER_04 |
transcript.pyannote[2385].start |
13113.44159375 |
transcript.pyannote[2385].end |
13113.61034375 |
transcript.pyannote[2386].speaker |
SPEAKER_04 |
transcript.pyannote[2386].start |
13115.75346875 |
transcript.pyannote[2386].end |
13115.80409375 |
transcript.pyannote[2387].speaker |
SPEAKER_29 |
transcript.pyannote[2387].start |
13118.16659375 |
transcript.pyannote[2387].end |
13120.12409375 |
transcript.pyannote[2388].speaker |
SPEAKER_04 |
transcript.pyannote[2388].start |
13118.43659375 |
transcript.pyannote[2388].end |
13118.95971875 |
transcript.pyannote[2389].speaker |
SPEAKER_04 |
transcript.pyannote[2389].start |
13119.19596875 |
transcript.pyannote[2389].end |
13122.33471875 |
transcript.pyannote[2390].speaker |
SPEAKER_29 |
transcript.pyannote[2390].start |
13120.88346875 |
transcript.pyannote[2390].end |
13121.52471875 |
transcript.pyannote[2391].speaker |
SPEAKER_29 |
transcript.pyannote[2391].start |
13121.89596875 |
transcript.pyannote[2391].end |
13127.43096875 |
transcript.pyannote[2392].speaker |
SPEAKER_29 |
transcript.pyannote[2392].start |
13128.64596875 |
transcript.pyannote[2392].end |
13133.96159375 |
transcript.pyannote[2393].speaker |
SPEAKER_38 |
transcript.pyannote[2393].start |
13132.05471875 |
transcript.pyannote[2393].end |
13132.10534375 |
transcript.pyannote[2394].speaker |
SPEAKER_38 |
transcript.pyannote[2394].start |
13132.12221875 |
transcript.pyannote[2394].end |
13132.22346875 |
transcript.pyannote[2395].speaker |
SPEAKER_20 |
transcript.pyannote[2395].start |
13132.74659375 |
transcript.pyannote[2395].end |
13132.81409375 |
transcript.pyannote[2396].speaker |
SPEAKER_38 |
transcript.pyannote[2396].start |
13132.81409375 |
transcript.pyannote[2396].end |
13133.25284375 |
transcript.pyannote[2397].speaker |
SPEAKER_20 |
transcript.pyannote[2397].start |
13133.96159375 |
transcript.pyannote[2397].end |
13134.07971875 |
transcript.pyannote[2398].speaker |
SPEAKER_29 |
transcript.pyannote[2398].start |
13134.07971875 |
transcript.pyannote[2398].end |
13134.09659375 |
transcript.pyannote[2399].speaker |
SPEAKER_38 |
transcript.pyannote[2399].start |
13134.09659375 |
transcript.pyannote[2399].end |
13134.24846875 |
transcript.pyannote[2400].speaker |
SPEAKER_29 |
transcript.pyannote[2400].start |
13134.24846875 |
transcript.pyannote[2400].end |
13134.97409375 |
transcript.pyannote[2401].speaker |
SPEAKER_38 |
transcript.pyannote[2401].start |
13134.29909375 |
transcript.pyannote[2401].end |
13134.43409375 |
transcript.pyannote[2402].speaker |
SPEAKER_20 |
transcript.pyannote[2402].start |
13134.43409375 |
transcript.pyannote[2402].end |
13134.87284375 |
transcript.pyannote[2403].speaker |
SPEAKER_38 |
transcript.pyannote[2403].start |
13134.87284375 |
transcript.pyannote[2403].end |
13134.88971875 |
transcript.pyannote[2404].speaker |
SPEAKER_38 |
transcript.pyannote[2404].start |
13134.97409375 |
transcript.pyannote[2404].end |
13134.99096875 |
transcript.pyannote[2405].speaker |
SPEAKER_29 |
transcript.pyannote[2405].start |
13135.22721875 |
transcript.pyannote[2405].end |
13136.05409375 |
transcript.pyannote[2406].speaker |
SPEAKER_20 |
transcript.pyannote[2406].start |
13137.08346875 |
transcript.pyannote[2406].end |
13141.18409375 |
transcript.pyannote[2407].speaker |
SPEAKER_18 |
transcript.pyannote[2407].start |
13155.03846875 |
transcript.pyannote[2407].end |
13158.48096875 |
transcript.pyannote[2408].speaker |
SPEAKER_18 |
transcript.pyannote[2408].start |
13158.88596875 |
transcript.pyannote[2408].end |
13159.86471875 |
transcript.pyannote[2409].speaker |
SPEAKER_18 |
transcript.pyannote[2409].start |
13168.26846875 |
transcript.pyannote[2409].end |
13169.02784375 |
transcript.pyannote[2410].speaker |
SPEAKER_18 |
transcript.pyannote[2410].start |
13169.60159375 |
transcript.pyannote[2410].end |
13190.13846875 |
transcript.pyannote[2411].speaker |
SPEAKER_24 |
transcript.pyannote[2411].start |
13184.78909375 |
transcript.pyannote[2411].end |
13184.85659375 |
transcript.pyannote[2412].speaker |
SPEAKER_05 |
transcript.pyannote[2412].start |
13184.85659375 |
transcript.pyannote[2412].end |
13185.26159375 |
transcript.pyannote[2413].speaker |
SPEAKER_05 |
transcript.pyannote[2413].start |
13190.47596875 |
transcript.pyannote[2413].end |
13221.86346875 |
transcript.pyannote[2414].speaker |
SPEAKER_18 |
transcript.pyannote[2414].start |
13220.51346875 |
transcript.pyannote[2414].end |
13220.66534375 |
transcript.pyannote[2415].speaker |
SPEAKER_18 |
transcript.pyannote[2415].start |
13221.86346875 |
transcript.pyannote[2415].end |
13229.86221875 |
transcript.pyannote[2416].speaker |
SPEAKER_18 |
transcript.pyannote[2416].start |
13230.36846875 |
transcript.pyannote[2416].end |
13233.49034375 |
transcript.pyannote[2417].speaker |
SPEAKER_18 |
transcript.pyannote[2417].start |
13234.11471875 |
transcript.pyannote[2417].end |
13245.43784375 |
transcript.pyannote[2418].speaker |
SPEAKER_05 |
transcript.pyannote[2418].start |
13247.37846875 |
transcript.pyannote[2418].end |
13247.68221875 |
transcript.pyannote[2419].speaker |
SPEAKER_05 |
transcript.pyannote[2419].start |
13248.76221875 |
transcript.pyannote[2419].end |
13250.17971875 |
transcript.pyannote[2420].speaker |
SPEAKER_18 |
transcript.pyannote[2420].start |
13250.51721875 |
transcript.pyannote[2420].end |
13274.34471875 |
transcript.pyannote[2421].speaker |
SPEAKER_05 |
transcript.pyannote[2421].start |
13274.14221875 |
transcript.pyannote[2421].end |
13280.09909375 |
transcript.pyannote[2422].speaker |
SPEAKER_18 |
transcript.pyannote[2422].start |
13280.09909375 |
transcript.pyannote[2422].end |
13297.85159375 |
transcript.pyannote[2423].speaker |
SPEAKER_05 |
transcript.pyannote[2423].start |
13286.46096875 |
transcript.pyannote[2423].end |
13286.86596875 |
transcript.pyannote[2424].speaker |
SPEAKER_05 |
transcript.pyannote[2424].start |
13297.61534375 |
transcript.pyannote[2424].end |
13304.85471875 |
transcript.pyannote[2425].speaker |
SPEAKER_18 |
transcript.pyannote[2425].start |
13304.28096875 |
transcript.pyannote[2425].end |
13311.52034375 |
transcript.pyannote[2426].speaker |
SPEAKER_04 |
transcript.pyannote[2426].start |
13311.85784375 |
transcript.pyannote[2426].end |
13313.49471875 |
transcript.pyannote[2427].speaker |
SPEAKER_18 |
transcript.pyannote[2427].start |
13313.39346875 |
transcript.pyannote[2427].end |
13320.68346875 |
transcript.pyannote[2428].speaker |
SPEAKER_05 |
transcript.pyannote[2428].start |
13320.58221875 |
transcript.pyannote[2428].end |
13326.28596875 |
transcript.pyannote[2429].speaker |
SPEAKER_05 |
transcript.pyannote[2429].start |
13326.67409375 |
transcript.pyannote[2429].end |
13327.23096875 |
transcript.pyannote[2430].speaker |
SPEAKER_18 |
transcript.pyannote[2430].start |
13326.70784375 |
transcript.pyannote[2430].end |
13328.32784375 |
transcript.pyannote[2431].speaker |
SPEAKER_05 |
transcript.pyannote[2431].start |
13327.88909375 |
transcript.pyannote[2431].end |
13329.93096875 |
transcript.pyannote[2432].speaker |
SPEAKER_18 |
transcript.pyannote[2432].start |
13329.20534375 |
transcript.pyannote[2432].end |
13329.74534375 |
transcript.pyannote[2433].speaker |
SPEAKER_18 |
transcript.pyannote[2433].start |
13330.11659375 |
transcript.pyannote[2433].end |
13332.19221875 |
transcript.pyannote[2434].speaker |
SPEAKER_05 |
transcript.pyannote[2434].start |
13332.52971875 |
transcript.pyannote[2434].end |
13333.30596875 |
transcript.pyannote[2435].speaker |
SPEAKER_18 |
transcript.pyannote[2435].start |
13333.30596875 |
transcript.pyannote[2435].end |
13369.58721875 |
transcript.pyannote[2436].speaker |
SPEAKER_38 |
transcript.pyannote[2436].start |
13333.33971875 |
transcript.pyannote[2436].end |
13333.35659375 |
transcript.pyannote[2437].speaker |
SPEAKER_05 |
transcript.pyannote[2437].start |
13369.80659375 |
transcript.pyannote[2437].end |
13385.97284375 |
transcript.pyannote[2438].speaker |
SPEAKER_18 |
transcript.pyannote[2438].start |
13384.72409375 |
transcript.pyannote[2438].end |
13397.11034375 |
transcript.pyannote[2439].speaker |
SPEAKER_18 |
transcript.pyannote[2439].start |
13397.31284375 |
transcript.pyannote[2439].end |
13410.71159375 |
transcript.pyannote[2440].speaker |
SPEAKER_18 |
transcript.pyannote[2440].start |
13413.31034375 |
transcript.pyannote[2440].end |
13492.03221875 |
transcript.pyannote[2441].speaker |
SPEAKER_11 |
transcript.pyannote[2441].start |
13494.24284375 |
transcript.pyannote[2441].end |
13495.30596875 |
transcript.pyannote[2442].speaker |
SPEAKER_11 |
transcript.pyannote[2442].start |
13495.52534375 |
transcript.pyannote[2442].end |
13499.57534375 |
transcript.pyannote[2443].speaker |
SPEAKER_11 |
transcript.pyannote[2443].start |
13500.04784375 |
transcript.pyannote[2443].end |
13508.02971875 |
transcript.pyannote[2444].speaker |
SPEAKER_18 |
transcript.pyannote[2444].start |
13508.02971875 |
transcript.pyannote[2444].end |
13508.14784375 |
transcript.pyannote[2445].speaker |
SPEAKER_11 |
transcript.pyannote[2445].start |
13508.26596875 |
transcript.pyannote[2445].end |
13509.02534375 |
transcript.pyannote[2446].speaker |
SPEAKER_18 |
transcript.pyannote[2446].start |
13509.02534375 |
transcript.pyannote[2446].end |
13528.41471875 |
transcript.pyannote[2447].speaker |
SPEAKER_18 |
transcript.pyannote[2447].start |
13528.71846875 |
transcript.pyannote[2447].end |
13529.35971875 |
transcript.pyannote[2448].speaker |
SPEAKER_18 |
transcript.pyannote[2448].start |
13530.08534375 |
transcript.pyannote[2448].end |
13574.46659375 |
transcript.pyannote[2449].speaker |
SPEAKER_05 |
transcript.pyannote[2449].start |
13574.46659375 |
transcript.pyannote[2449].end |
13582.07721875 |
transcript.pyannote[2450].speaker |
SPEAKER_38 |
transcript.pyannote[2450].start |
13582.07721875 |
transcript.pyannote[2450].end |
13582.16159375 |
transcript.pyannote[2451].speaker |
SPEAKER_05 |
transcript.pyannote[2451].start |
13582.16159375 |
transcript.pyannote[2451].end |
13582.17846875 |
transcript.pyannote[2452].speaker |
SPEAKER_15 |
transcript.pyannote[2452].start |
13586.14409375 |
transcript.pyannote[2452].end |
13588.03409375 |
transcript.pyannote[2453].speaker |
SPEAKER_18 |
transcript.pyannote[2453].start |
13588.03409375 |
transcript.pyannote[2453].end |
13596.40409375 |
transcript.pyannote[2454].speaker |
SPEAKER_15 |
transcript.pyannote[2454].start |
13597.21409375 |
transcript.pyannote[2454].end |
13597.23096875 |
transcript.pyannote[2455].speaker |
SPEAKER_18 |
transcript.pyannote[2455].start |
13597.23096875 |
transcript.pyannote[2455].end |
13613.38034375 |
transcript.pyannote[2456].speaker |
SPEAKER_18 |
transcript.pyannote[2456].start |
13613.65034375 |
transcript.pyannote[2456].end |
13614.40971875 |
transcript.pyannote[2457].speaker |
SPEAKER_18 |
transcript.pyannote[2457].start |
13614.84846875 |
transcript.pyannote[2457].end |
13616.09721875 |
transcript.pyannote[2458].speaker |
SPEAKER_18 |
transcript.pyannote[2458].start |
13616.51909375 |
transcript.pyannote[2458].end |
13641.37596875 |
transcript.pyannote[2459].speaker |
SPEAKER_05 |
transcript.pyannote[2459].start |
13641.57846875 |
transcript.pyannote[2459].end |
13649.98221875 |
transcript.pyannote[2460].speaker |
SPEAKER_18 |
transcript.pyannote[2460].start |
13649.17221875 |
transcript.pyannote[2460].end |
13650.37034375 |
transcript.pyannote[2461].speaker |
SPEAKER_05 |
transcript.pyannote[2461].start |
13650.62346875 |
transcript.pyannote[2461].end |
13658.41971875 |
transcript.pyannote[2462].speaker |
SPEAKER_10 |
transcript.pyannote[2462].start |
13654.36971875 |
transcript.pyannote[2462].end |
13654.38659375 |
transcript.pyannote[2463].speaker |
SPEAKER_18 |
transcript.pyannote[2463].start |
13654.38659375 |
transcript.pyannote[2463].end |
13654.70721875 |
transcript.pyannote[2464].speaker |
SPEAKER_10 |
transcript.pyannote[2464].start |
13654.70721875 |
transcript.pyannote[2464].end |
13654.72409375 |
transcript.pyannote[2465].speaker |
SPEAKER_18 |
transcript.pyannote[2465].start |
13658.70659375 |
transcript.pyannote[2465].end |
13660.57971875 |
transcript.pyannote[2466].speaker |
SPEAKER_05 |
transcript.pyannote[2466].start |
13661.00159375 |
transcript.pyannote[2466].end |
13667.19471875 |
transcript.pyannote[2467].speaker |
SPEAKER_18 |
transcript.pyannote[2467].start |
13667.38034375 |
transcript.pyannote[2467].end |
13727.13471875 |
transcript.pyannote[2468].speaker |
SPEAKER_05 |
transcript.pyannote[2468].start |
13727.42159375 |
transcript.pyannote[2468].end |
13747.43534375 |
transcript.pyannote[2469].speaker |
SPEAKER_05 |
transcript.pyannote[2469].start |
13747.46909375 |
transcript.pyannote[2469].end |
13747.48596875 |
transcript.pyannote[2470].speaker |
SPEAKER_18 |
transcript.pyannote[2470].start |
13747.48596875 |
transcript.pyannote[2470].end |
13749.42659375 |
transcript.pyannote[2471].speaker |
SPEAKER_05 |
transcript.pyannote[2471].start |
13748.92034375 |
transcript.pyannote[2471].end |
13757.37471875 |
transcript.pyannote[2472].speaker |
SPEAKER_18 |
transcript.pyannote[2472].start |
13751.23221875 |
transcript.pyannote[2472].end |
13751.26596875 |
transcript.pyannote[2473].speaker |
SPEAKER_05 |
transcript.pyannote[2473].start |
13757.77971875 |
transcript.pyannote[2473].end |
13775.54909375 |
transcript.pyannote[2474].speaker |
SPEAKER_00 |
transcript.pyannote[2474].start |
13766.87534375 |
transcript.pyannote[2474].end |
13767.12846875 |
transcript.pyannote[2475].speaker |
SPEAKER_00 |
transcript.pyannote[2475].start |
13773.01784375 |
transcript.pyannote[2475].end |
13773.20346875 |
transcript.pyannote[2476].speaker |
SPEAKER_18 |
transcript.pyannote[2476].start |
13775.81909375 |
transcript.pyannote[2476].end |
13787.63159375 |
transcript.pyannote[2477].speaker |
SPEAKER_05 |
transcript.pyannote[2477].start |
13787.54721875 |
transcript.pyannote[2477].end |
13787.59784375 |
transcript.pyannote[2478].speaker |
SPEAKER_05 |
transcript.pyannote[2478].start |
13787.63159375 |
transcript.pyannote[2478].end |
13788.45846875 |
transcript.pyannote[2479].speaker |
SPEAKER_05 |
transcript.pyannote[2479].start |
13789.50471875 |
transcript.pyannote[2479].end |
13790.14596875 |
transcript.pyannote[2480].speaker |
SPEAKER_18 |
transcript.pyannote[2480].start |
13789.62284375 |
transcript.pyannote[2480].end |
13792.10346875 |
transcript.pyannote[2481].speaker |
SPEAKER_05 |
transcript.pyannote[2481].start |
13792.05284375 |
transcript.pyannote[2481].end |
13799.37659375 |
transcript.pyannote[2482].speaker |
SPEAKER_18 |
transcript.pyannote[2482].start |
13796.15346875 |
transcript.pyannote[2482].end |
13796.17034375 |
transcript.pyannote[2483].speaker |
SPEAKER_20 |
transcript.pyannote[2483].start |
13796.17034375 |
transcript.pyannote[2483].end |
13796.18721875 |
transcript.pyannote[2484].speaker |
SPEAKER_18 |
transcript.pyannote[2484].start |
13796.18721875 |
transcript.pyannote[2484].end |
13796.20409375 |
transcript.pyannote[2485].speaker |
SPEAKER_20 |
transcript.pyannote[2485].start |
13796.20409375 |
transcript.pyannote[2485].end |
13796.42346875 |
transcript.pyannote[2486].speaker |
SPEAKER_20 |
transcript.pyannote[2486].start |
13797.55409375 |
transcript.pyannote[2486].end |
13799.27534375 |
transcript.pyannote[2487].speaker |
SPEAKER_20 |
transcript.pyannote[2487].start |
13799.37659375 |
transcript.pyannote[2487].end |
13804.23659375 |
transcript.pyannote[2488].speaker |
SPEAKER_26 |
transcript.pyannote[2488].start |
13814.37846875 |
transcript.pyannote[2488].end |
13826.88284375 |
transcript.pyannote[2489].speaker |
SPEAKER_42 |
transcript.pyannote[2489].start |
13824.33471875 |
transcript.pyannote[2489].end |
13824.45284375 |
transcript.pyannote[2490].speaker |
SPEAKER_20 |
transcript.pyannote[2490].start |
13826.88284375 |
transcript.pyannote[2490].end |
13826.91659375 |
transcript.pyannote[2491].speaker |
SPEAKER_03 |
transcript.pyannote[2491].start |
13838.84721875 |
transcript.pyannote[2491].end |
13839.69096875 |
transcript.pyannote[2492].speaker |
SPEAKER_26 |
transcript.pyannote[2492].start |
13841.34471875 |
transcript.pyannote[2492].end |
13854.65909375 |
transcript.pyannote[2493].speaker |
SPEAKER_26 |
transcript.pyannote[2493].start |
13855.14846875 |
transcript.pyannote[2493].end |
13862.15159375 |
transcript.pyannote[2494].speaker |
SPEAKER_26 |
transcript.pyannote[2494].start |
13862.82659375 |
transcript.pyannote[2494].end |
13863.65346875 |
transcript.pyannote[2495].speaker |
SPEAKER_26 |
transcript.pyannote[2495].start |
13864.61534375 |
transcript.pyannote[2495].end |
13865.05409375 |
transcript.pyannote[2496].speaker |
SPEAKER_26 |
transcript.pyannote[2496].start |
13865.79659375 |
transcript.pyannote[2496].end |
13872.49596875 |
transcript.pyannote[2497].speaker |
SPEAKER_05 |
transcript.pyannote[2497].start |
13868.12534375 |
transcript.pyannote[2497].end |
13868.54721875 |
transcript.pyannote[2498].speaker |
SPEAKER_05 |
transcript.pyannote[2498].start |
13869.07034375 |
transcript.pyannote[2498].end |
13869.13784375 |
transcript.pyannote[2499].speaker |
SPEAKER_26 |
transcript.pyannote[2499].start |
13872.88409375 |
transcript.pyannote[2499].end |
13876.66409375 |
transcript.pyannote[2500].speaker |
SPEAKER_26 |
transcript.pyannote[2500].start |
13879.56659375 |
transcript.pyannote[2500].end |
13880.74784375 |
transcript.pyannote[2501].speaker |
SPEAKER_35 |
transcript.pyannote[2501].start |
13880.74784375 |
transcript.pyannote[2501].end |
13881.55784375 |
transcript.pyannote[2502].speaker |
SPEAKER_35 |
transcript.pyannote[2502].start |
13882.06409375 |
transcript.pyannote[2502].end |
13885.91159375 |
transcript.pyannote[2503].speaker |
SPEAKER_26 |
transcript.pyannote[2503].start |
13885.08471875 |
transcript.pyannote[2503].end |
13887.02534375 |
transcript.pyannote[2504].speaker |
SPEAKER_26 |
transcript.pyannote[2504].start |
13887.36284375 |
transcript.pyannote[2504].end |
13889.65784375 |
transcript.pyannote[2505].speaker |
SPEAKER_35 |
transcript.pyannote[2505].start |
13887.37971875 |
transcript.pyannote[2505].end |
13888.12221875 |
transcript.pyannote[2506].speaker |
SPEAKER_35 |
transcript.pyannote[2506].start |
13889.38784375 |
transcript.pyannote[2506].end |
13889.97846875 |
transcript.pyannote[2507].speaker |
SPEAKER_36 |
transcript.pyannote[2507].start |
13889.65784375 |
transcript.pyannote[2507].end |
13889.67471875 |
transcript.pyannote[2508].speaker |
SPEAKER_36 |
transcript.pyannote[2508].start |
13889.97846875 |
transcript.pyannote[2508].end |
13892.81346875 |
transcript.pyannote[2509].speaker |
SPEAKER_26 |
transcript.pyannote[2509].start |
13891.05846875 |
transcript.pyannote[2509].end |
13893.10034375 |
transcript.pyannote[2510].speaker |
SPEAKER_36 |
transcript.pyannote[2510].start |
13893.10034375 |
transcript.pyannote[2510].end |
13897.87596875 |
transcript.pyannote[2511].speaker |
SPEAKER_26 |
transcript.pyannote[2511].start |
13897.18409375 |
transcript.pyannote[2511].end |
13899.91784375 |
transcript.pyannote[2512].speaker |
SPEAKER_26 |
transcript.pyannote[2512].start |
13900.37346875 |
transcript.pyannote[2512].end |
13905.28409375 |
transcript.pyannote[2513].speaker |
SPEAKER_26 |
transcript.pyannote[2513].start |
13906.00971875 |
transcript.pyannote[2513].end |
13911.27471875 |
transcript.pyannote[2514].speaker |
SPEAKER_26 |
transcript.pyannote[2514].start |
13912.00034375 |
transcript.pyannote[2514].end |
13914.59909375 |
transcript.pyannote[2515].speaker |
SPEAKER_26 |
transcript.pyannote[2515].start |
13914.75096875 |
transcript.pyannote[2515].end |
13921.38284375 |
transcript.pyannote[2516].speaker |
SPEAKER_26 |
transcript.pyannote[2516].start |
13921.93971875 |
transcript.pyannote[2516].end |
13926.64784375 |
transcript.pyannote[2517].speaker |
SPEAKER_05 |
transcript.pyannote[2517].start |
13926.64784375 |
transcript.pyannote[2517].end |
13926.66471875 |
transcript.pyannote[2518].speaker |
SPEAKER_05 |
transcript.pyannote[2518].start |
13927.27221875 |
transcript.pyannote[2518].end |
13928.40284375 |
transcript.pyannote[2519].speaker |
SPEAKER_26 |
transcript.pyannote[2519].start |
13928.40284375 |
transcript.pyannote[2519].end |
13929.53346875 |
transcript.pyannote[2520].speaker |
SPEAKER_05 |
transcript.pyannote[2520].start |
13928.41971875 |
transcript.pyannote[2520].end |
13929.06096875 |
transcript.pyannote[2521].speaker |
SPEAKER_05 |
transcript.pyannote[2521].start |
13931.30534375 |
transcript.pyannote[2521].end |
13932.65534375 |
transcript.pyannote[2522].speaker |
SPEAKER_26 |
transcript.pyannote[2522].start |
13933.16159375 |
transcript.pyannote[2522].end |
13937.54909375 |
transcript.pyannote[2523].speaker |
SPEAKER_05 |
transcript.pyannote[2523].start |
13933.17846875 |
transcript.pyannote[2523].end |
13934.08971875 |
transcript.pyannote[2524].speaker |
SPEAKER_05 |
transcript.pyannote[2524].start |
13938.46034375 |
transcript.pyannote[2524].end |
13938.69659375 |
transcript.pyannote[2525].speaker |
SPEAKER_26 |
transcript.pyannote[2525].start |
13938.69659375 |
transcript.pyannote[2525].end |
13939.55721875 |
transcript.pyannote[2526].speaker |
SPEAKER_26 |
transcript.pyannote[2526].start |
13940.73846875 |
transcript.pyannote[2526].end |
13942.03784375 |
transcript.pyannote[2527].speaker |
SPEAKER_26 |
transcript.pyannote[2527].start |
13943.21909375 |
transcript.pyannote[2527].end |
13944.97409375 |
transcript.pyannote[2528].speaker |
SPEAKER_26 |
transcript.pyannote[2528].start |
13945.39596875 |
transcript.pyannote[2528].end |
13946.42534375 |
transcript.pyannote[2529].speaker |
SPEAKER_26 |
transcript.pyannote[2529].start |
13946.69534375 |
transcript.pyannote[2529].end |
13947.97784375 |
transcript.pyannote[2530].speaker |
SPEAKER_26 |
transcript.pyannote[2530].start |
13949.17596875 |
transcript.pyannote[2530].end |
13950.99846875 |
transcript.pyannote[2531].speaker |
SPEAKER_26 |
transcript.pyannote[2531].start |
13951.53846875 |
transcript.pyannote[2531].end |
13952.95596875 |
transcript.pyannote[2532].speaker |
SPEAKER_26 |
transcript.pyannote[2532].start |
13953.56346875 |
transcript.pyannote[2532].end |
13956.90471875 |
transcript.pyannote[2533].speaker |
SPEAKER_26 |
transcript.pyannote[2533].start |
13957.29284375 |
transcript.pyannote[2533].end |
13960.95471875 |
transcript.pyannote[2534].speaker |
SPEAKER_26 |
transcript.pyannote[2534].start |
13961.25846875 |
transcript.pyannote[2534].end |
13965.66284375 |
transcript.pyannote[2535].speaker |
SPEAKER_26 |
transcript.pyannote[2535].start |
13965.91596875 |
transcript.pyannote[2535].end |
13973.29034375 |
transcript.pyannote[2536].speaker |
SPEAKER_08 |
transcript.pyannote[2536].start |
13973.49284375 |
transcript.pyannote[2536].end |
13974.55596875 |
transcript.pyannote[2537].speaker |
SPEAKER_26 |
transcript.pyannote[2537].start |
13973.89784375 |
transcript.pyannote[2537].end |
13976.09159375 |
transcript.pyannote[2538].speaker |
SPEAKER_26 |
transcript.pyannote[2538].start |
13976.34471875 |
transcript.pyannote[2538].end |
13978.58909375 |
transcript.pyannote[2539].speaker |
SPEAKER_26 |
transcript.pyannote[2539].start |
13978.97721875 |
transcript.pyannote[2539].end |
13981.76159375 |
transcript.pyannote[2540].speaker |
SPEAKER_26 |
transcript.pyannote[2540].start |
13982.20034375 |
transcript.pyannote[2540].end |
13983.80346875 |
transcript.pyannote[2541].speaker |
SPEAKER_26 |
transcript.pyannote[2541].start |
13984.22534375 |
transcript.pyannote[2541].end |
13987.16159375 |
transcript.pyannote[2542].speaker |
SPEAKER_26 |
transcript.pyannote[2542].start |
13987.76909375 |
transcript.pyannote[2542].end |
13990.65471875 |
transcript.pyannote[2543].speaker |
SPEAKER_26 |
transcript.pyannote[2543].start |
13990.77284375 |
transcript.pyannote[2543].end |
13994.23221875 |
transcript.pyannote[2544].speaker |
SPEAKER_26 |
transcript.pyannote[2544].start |
13995.02534375 |
transcript.pyannote[2544].end |
14000.12159375 |
transcript.pyannote[2545].speaker |
SPEAKER_05 |
transcript.pyannote[2545].start |
14002.09596875 |
transcript.pyannote[2545].end |
14002.63596875 |
transcript.pyannote[2546].speaker |
SPEAKER_05 |
transcript.pyannote[2546].start |
14003.20971875 |
transcript.pyannote[2546].end |
14008.13721875 |
transcript.pyannote[2547].speaker |
SPEAKER_26 |
transcript.pyannote[2547].start |
14007.71534375 |
transcript.pyannote[2547].end |
14011.83284375 |
transcript.pyannote[2548].speaker |
SPEAKER_05 |
transcript.pyannote[2548].start |
14008.28909375 |
transcript.pyannote[2548].end |
14008.77846875 |
transcript.pyannote[2549].speaker |
SPEAKER_26 |
transcript.pyannote[2549].start |
14013.33471875 |
transcript.pyannote[2549].end |
14015.27534375 |
transcript.pyannote[2550].speaker |
SPEAKER_26 |
transcript.pyannote[2550].start |
14015.32596875 |
transcript.pyannote[2550].end |
14019.46034375 |
transcript.pyannote[2551].speaker |
SPEAKER_26 |
transcript.pyannote[2551].start |
14019.74721875 |
transcript.pyannote[2551].end |
14022.21096875 |
transcript.pyannote[2552].speaker |
SPEAKER_26 |
transcript.pyannote[2552].start |
14022.46409375 |
transcript.pyannote[2552].end |
14024.77596875 |
transcript.pyannote[2553].speaker |
SPEAKER_26 |
transcript.pyannote[2553].start |
14025.13034375 |
transcript.pyannote[2553].end |
14031.96471875 |
transcript.pyannote[2554].speaker |
SPEAKER_26 |
transcript.pyannote[2554].start |
14032.16721875 |
transcript.pyannote[2554].end |
14033.97284375 |
transcript.pyannote[2555].speaker |
SPEAKER_26 |
transcript.pyannote[2555].start |
14034.86721875 |
transcript.pyannote[2555].end |
14036.99346875 |
transcript.pyannote[2556].speaker |
SPEAKER_05 |
transcript.pyannote[2556].start |
14037.33096875 |
transcript.pyannote[2556].end |
14040.06471875 |
transcript.pyannote[2557].speaker |
SPEAKER_26 |
transcript.pyannote[2557].start |
14040.06471875 |
transcript.pyannote[2557].end |
14041.56659375 |
transcript.pyannote[2558].speaker |
SPEAKER_26 |
transcript.pyannote[2558].start |
14042.12346875 |
transcript.pyannote[2558].end |
14044.16534375 |
transcript.pyannote[2559].speaker |
SPEAKER_26 |
transcript.pyannote[2559].start |
14044.63784375 |
transcript.pyannote[2559].end |
14046.10596875 |
transcript.pyannote[2560].speaker |
SPEAKER_26 |
transcript.pyannote[2560].start |
14046.44346875 |
transcript.pyannote[2560].end |
14047.05096875 |
transcript.pyannote[2561].speaker |
SPEAKER_08 |
transcript.pyannote[2561].start |
14047.57409375 |
transcript.pyannote[2561].end |
14053.15971875 |
transcript.pyannote[2562].speaker |
SPEAKER_26 |
transcript.pyannote[2562].start |
14053.15971875 |
transcript.pyannote[2562].end |
14053.19346875 |
transcript.pyannote[2563].speaker |
SPEAKER_08 |
transcript.pyannote[2563].start |
14053.51409375 |
transcript.pyannote[2563].end |
14053.53096875 |
transcript.pyannote[2564].speaker |
SPEAKER_26 |
transcript.pyannote[2564].start |
14053.53096875 |
transcript.pyannote[2564].end |
14054.83034375 |
transcript.pyannote[2565].speaker |
SPEAKER_08 |
transcript.pyannote[2565].start |
14055.97784375 |
transcript.pyannote[2565].end |
14058.96471875 |
transcript.pyannote[2566].speaker |
SPEAKER_26 |
transcript.pyannote[2566].start |
14059.01534375 |
transcript.pyannote[2566].end |
14065.73159375 |
transcript.pyannote[2567].speaker |
SPEAKER_26 |
transcript.pyannote[2567].start |
14066.23784375 |
transcript.pyannote[2567].end |
14067.48659375 |
transcript.pyannote[2568].speaker |
SPEAKER_26 |
transcript.pyannote[2568].start |
14069.10659375 |
transcript.pyannote[2568].end |
14077.61159375 |
transcript.pyannote[2569].speaker |
SPEAKER_26 |
transcript.pyannote[2569].start |
14078.05034375 |
transcript.pyannote[2569].end |
14080.07534375 |
transcript.pyannote[2570].speaker |
SPEAKER_05 |
transcript.pyannote[2570].start |
14080.07534375 |
transcript.pyannote[2570].end |
14080.09221875 |
transcript.pyannote[2571].speaker |
SPEAKER_05 |
transcript.pyannote[2571].start |
14080.54784375 |
transcript.pyannote[2571].end |
14092.96784375 |
transcript.pyannote[2572].speaker |
SPEAKER_26 |
transcript.pyannote[2572].start |
14081.18909375 |
transcript.pyannote[2572].end |
14081.47596875 |
transcript.pyannote[2573].speaker |
SPEAKER_26 |
transcript.pyannote[2573].start |
14082.03284375 |
transcript.pyannote[2573].end |
14082.28596875 |
transcript.pyannote[2574].speaker |
SPEAKER_04 |
transcript.pyannote[2574].start |
14087.50034375 |
transcript.pyannote[2574].end |
14088.00659375 |
transcript.pyannote[2575].speaker |
SPEAKER_26 |
transcript.pyannote[2575].start |
14092.05659375 |
transcript.pyannote[2575].end |
14092.17471875 |
transcript.pyannote[2576].speaker |
SPEAKER_26 |
transcript.pyannote[2576].start |
14092.96784375 |
transcript.pyannote[2576].end |
14097.89534375 |
transcript.pyannote[2577].speaker |
SPEAKER_26 |
transcript.pyannote[2577].start |
14098.31721875 |
transcript.pyannote[2577].end |
14105.86034375 |
transcript.pyannote[2578].speaker |
SPEAKER_38 |
transcript.pyannote[2578].start |
14105.86034375 |
transcript.pyannote[2578].end |
14106.19784375 |
transcript.pyannote[2579].speaker |
SPEAKER_26 |
transcript.pyannote[2579].start |
14106.29909375 |
transcript.pyannote[2579].end |
14107.56471875 |
transcript.pyannote[2580].speaker |
SPEAKER_26 |
transcript.pyannote[2580].start |
14108.23971875 |
transcript.pyannote[2580].end |
14112.71159375 |
transcript.pyannote[2581].speaker |
SPEAKER_38 |
transcript.pyannote[2581].start |
14112.79596875 |
transcript.pyannote[2581].end |
14113.01534375 |
transcript.pyannote[2582].speaker |
SPEAKER_26 |
transcript.pyannote[2582].start |
14113.38659375 |
transcript.pyannote[2582].end |
14115.29346875 |
transcript.pyannote[2583].speaker |
SPEAKER_26 |
transcript.pyannote[2583].start |
14115.81659375 |
transcript.pyannote[2583].end |
14117.99346875 |
transcript.pyannote[2584].speaker |
SPEAKER_26 |
transcript.pyannote[2584].start |
14118.36471875 |
transcript.pyannote[2584].end |
14123.05596875 |
transcript.pyannote[2585].speaker |
SPEAKER_26 |
transcript.pyannote[2585].start |
14123.49471875 |
transcript.pyannote[2585].end |
14126.86971875 |
transcript.pyannote[2586].speaker |
SPEAKER_26 |
transcript.pyannote[2586].start |
14127.12284375 |
transcript.pyannote[2586].end |
14128.23659375 |
transcript.pyannote[2587].speaker |
SPEAKER_26 |
transcript.pyannote[2587].start |
14128.55721875 |
transcript.pyannote[2587].end |
14129.56971875 |
transcript.pyannote[2588].speaker |
SPEAKER_26 |
transcript.pyannote[2588].start |
14130.14346875 |
transcript.pyannote[2588].end |
14131.45971875 |
transcript.pyannote[2589].speaker |
SPEAKER_26 |
transcript.pyannote[2589].start |
14131.98284375 |
transcript.pyannote[2589].end |
14133.31596875 |
transcript.pyannote[2590].speaker |
SPEAKER_05 |
transcript.pyannote[2590].start |
14135.39159375 |
transcript.pyannote[2590].end |
14135.42534375 |
transcript.pyannote[2591].speaker |
SPEAKER_05 |
transcript.pyannote[2591].start |
14135.44221875 |
transcript.pyannote[2591].end |
14135.52659375 |
transcript.pyannote[2592].speaker |
SPEAKER_05 |
transcript.pyannote[2592].start |
14135.94846875 |
transcript.pyannote[2592].end |
14136.70784375 |
transcript.pyannote[2593].speaker |
SPEAKER_26 |
transcript.pyannote[2593].start |
14136.70784375 |
transcript.pyannote[2593].end |
14137.31534375 |
transcript.pyannote[2594].speaker |
SPEAKER_05 |
transcript.pyannote[2594].start |
14136.72471875 |
transcript.pyannote[2594].end |
14137.46721875 |
transcript.pyannote[2595].speaker |
SPEAKER_05 |
transcript.pyannote[2595].start |
14138.17596875 |
transcript.pyannote[2595].end |
14144.13284375 |
transcript.pyannote[2596].speaker |
SPEAKER_26 |
transcript.pyannote[2596].start |
14143.55909375 |
transcript.pyannote[2596].end |
14144.20034375 |
transcript.pyannote[2597].speaker |
SPEAKER_05 |
transcript.pyannote[2597].start |
14144.20034375 |
transcript.pyannote[2597].end |
14144.21721875 |
transcript.pyannote[2598].speaker |
SPEAKER_26 |
transcript.pyannote[2598].start |
14144.21721875 |
transcript.pyannote[2598].end |
14152.01346875 |
transcript.pyannote[2599].speaker |
SPEAKER_05 |
transcript.pyannote[2599].start |
14144.97659375 |
transcript.pyannote[2599].end |
14146.96784375 |
transcript.pyannote[2600].speaker |
SPEAKER_05 |
transcript.pyannote[2600].start |
14152.01346875 |
transcript.pyannote[2600].end |
14155.96221875 |
transcript.pyannote[2601].speaker |
SPEAKER_05 |
transcript.pyannote[2601].start |
14156.28284375 |
transcript.pyannote[2601].end |
14159.97846875 |
transcript.pyannote[2602].speaker |
SPEAKER_26 |
transcript.pyannote[2602].start |
14159.97846875 |
transcript.pyannote[2602].end |
14161.75034375 |
transcript.pyannote[2603].speaker |
SPEAKER_26 |
transcript.pyannote[2603].start |
14162.18909375 |
transcript.pyannote[2603].end |
14166.25596875 |
transcript.pyannote[2604].speaker |
SPEAKER_26 |
transcript.pyannote[2604].start |
14166.50909375 |
transcript.pyannote[2604].end |
14169.32721875 |
transcript.pyannote[2605].speaker |
SPEAKER_26 |
transcript.pyannote[2605].start |
14169.88409375 |
transcript.pyannote[2605].end |
14171.57159375 |
transcript.pyannote[2606].speaker |
SPEAKER_26 |
transcript.pyannote[2606].start |
14171.74034375 |
transcript.pyannote[2606].end |
14181.32534375 |
transcript.pyannote[2607].speaker |
SPEAKER_26 |
transcript.pyannote[2607].start |
14181.69659375 |
transcript.pyannote[2607].end |
14191.16346875 |
transcript.pyannote[2608].speaker |
SPEAKER_26 |
transcript.pyannote[2608].start |
14191.23096875 |
transcript.pyannote[2608].end |
14199.93846875 |
transcript.pyannote[2609].speaker |
SPEAKER_04 |
transcript.pyannote[2609].start |
14199.93846875 |
transcript.pyannote[2609].end |
14200.68096875 |
transcript.pyannote[2610].speaker |
SPEAKER_26 |
transcript.pyannote[2610].start |
14200.54596875 |
transcript.pyannote[2610].end |
14202.26721875 |
transcript.pyannote[2611].speaker |
SPEAKER_04 |
transcript.pyannote[2611].start |
14202.50346875 |
transcript.pyannote[2611].end |
14202.77346875 |
transcript.pyannote[2612].speaker |
SPEAKER_26 |
transcript.pyannote[2612].start |
14202.58784375 |
transcript.pyannote[2612].end |
14202.68909375 |
transcript.pyannote[2613].speaker |
SPEAKER_26 |
transcript.pyannote[2613].start |
14202.70596875 |
transcript.pyannote[2613].end |
14202.73971875 |
transcript.pyannote[2614].speaker |
SPEAKER_26 |
transcript.pyannote[2614].start |
14202.77346875 |
transcript.pyannote[2614].end |
14207.85284375 |
transcript.pyannote[2615].speaker |
SPEAKER_26 |
transcript.pyannote[2615].start |
14208.40971875 |
transcript.pyannote[2615].end |
14210.09721875 |
transcript.pyannote[2616].speaker |
SPEAKER_26 |
transcript.pyannote[2616].start |
14210.51909375 |
transcript.pyannote[2616].end |
14212.29096875 |
transcript.pyannote[2617].speaker |
SPEAKER_26 |
transcript.pyannote[2617].start |
14212.57784375 |
transcript.pyannote[2617].end |
14215.04159375 |
transcript.pyannote[2618].speaker |
SPEAKER_26 |
transcript.pyannote[2618].start |
14215.44659375 |
transcript.pyannote[2618].end |
14216.69534375 |
transcript.pyannote[2619].speaker |
SPEAKER_26 |
transcript.pyannote[2619].start |
14216.72909375 |
transcript.pyannote[2619].end |
14217.50534375 |
transcript.pyannote[2620].speaker |
SPEAKER_26 |
transcript.pyannote[2620].start |
14217.70784375 |
transcript.pyannote[2620].end |
14218.97346875 |
transcript.pyannote[2621].speaker |
SPEAKER_26 |
transcript.pyannote[2621].start |
14219.39534375 |
transcript.pyannote[2621].end |
14219.90159375 |
transcript.pyannote[2622].speaker |
SPEAKER_26 |
transcript.pyannote[2622].start |
14220.00284375 |
transcript.pyannote[2622].end |
14220.82971875 |
transcript.pyannote[2623].speaker |
SPEAKER_26 |
transcript.pyannote[2623].start |
14221.16721875 |
transcript.pyannote[2623].end |
14228.44034375 |
transcript.pyannote[2624].speaker |
SPEAKER_05 |
transcript.pyannote[2624].start |
14228.44034375 |
transcript.pyannote[2624].end |
14228.45721875 |
transcript.pyannote[2625].speaker |
SPEAKER_05 |
transcript.pyannote[2625].start |
14228.55846875 |
transcript.pyannote[2625].end |
14229.97596875 |
transcript.pyannote[2626].speaker |
SPEAKER_20 |
transcript.pyannote[2626].start |
14229.97596875 |
transcript.pyannote[2626].end |
14230.48221875 |
transcript.pyannote[2627].speaker |
SPEAKER_26 |
transcript.pyannote[2627].start |
14230.48221875 |
transcript.pyannote[2627].end |
14230.49909375 |
transcript.pyannote[2628].speaker |
SPEAKER_05 |
transcript.pyannote[2628].start |
14230.78596875 |
transcript.pyannote[2628].end |
14232.05159375 |
transcript.pyannote[2629].speaker |
SPEAKER_20 |
transcript.pyannote[2629].start |
14232.05159375 |
transcript.pyannote[2629].end |
14236.43909375 |
transcript.pyannote[2630].speaker |
SPEAKER_41 |
transcript.pyannote[2630].start |
14242.02471875 |
transcript.pyannote[2630].end |
14244.16784375 |
transcript.pyannote[2631].speaker |
SPEAKER_20 |
transcript.pyannote[2631].start |
14244.33659375 |
transcript.pyannote[2631].end |
14245.06221875 |
transcript.pyannote[2632].speaker |
SPEAKER_03 |
transcript.pyannote[2632].start |
14250.85034375 |
transcript.pyannote[2632].end |
14251.23846875 |
transcript.pyannote[2633].speaker |
SPEAKER_38 |
transcript.pyannote[2633].start |
14251.23846875 |
transcript.pyannote[2633].end |
14251.37346875 |
transcript.pyannote[2634].speaker |
SPEAKER_41 |
transcript.pyannote[2634].start |
14251.60971875 |
transcript.pyannote[2634].end |
14266.96596875 |
transcript.pyannote[2635].speaker |
SPEAKER_41 |
transcript.pyannote[2635].start |
14267.23596875 |
transcript.pyannote[2635].end |
14311.66784375 |
transcript.pyannote[2636].speaker |
SPEAKER_41 |
transcript.pyannote[2636].start |
14311.93784375 |
transcript.pyannote[2636].end |
14317.55721875 |
transcript.pyannote[2637].speaker |
SPEAKER_41 |
transcript.pyannote[2637].start |
14317.96221875 |
transcript.pyannote[2637].end |
14322.13034375 |
transcript.pyannote[2638].speaker |
SPEAKER_05 |
transcript.pyannote[2638].start |
14322.13034375 |
transcript.pyannote[2638].end |
14326.50096875 |
transcript.pyannote[2639].speaker |
SPEAKER_41 |
transcript.pyannote[2639].start |
14326.09596875 |
transcript.pyannote[2639].end |
14331.00659375 |
transcript.pyannote[2640].speaker |
SPEAKER_41 |
transcript.pyannote[2640].start |
14331.36096875 |
transcript.pyannote[2640].end |
14336.03534375 |
transcript.pyannote[2641].speaker |
SPEAKER_41 |
transcript.pyannote[2641].start |
14336.32221875 |
transcript.pyannote[2641].end |
14340.16971875 |
transcript.pyannote[2642].speaker |
SPEAKER_05 |
transcript.pyannote[2642].start |
14340.16971875 |
transcript.pyannote[2642].end |
14346.17721875 |
transcript.pyannote[2643].speaker |
SPEAKER_41 |
transcript.pyannote[2643].start |
14345.26596875 |
transcript.pyannote[2643].end |
14353.82159375 |
transcript.pyannote[2644].speaker |
SPEAKER_04 |
transcript.pyannote[2644].start |
14354.26034375 |
transcript.pyannote[2644].end |
14354.29409375 |
transcript.pyannote[2645].speaker |
SPEAKER_05 |
transcript.pyannote[2645].start |
14354.29409375 |
transcript.pyannote[2645].end |
14354.37846875 |
transcript.pyannote[2646].speaker |
SPEAKER_04 |
transcript.pyannote[2646].start |
14354.37846875 |
transcript.pyannote[2646].end |
14354.76659375 |
transcript.pyannote[2647].speaker |
SPEAKER_41 |
transcript.pyannote[2647].start |
14354.76659375 |
transcript.pyannote[2647].end |
14356.97721875 |
transcript.pyannote[2648].speaker |
SPEAKER_05 |
transcript.pyannote[2648].start |
14354.78346875 |
transcript.pyannote[2648].end |
14355.12096875 |
transcript.pyannote[2649].speaker |
SPEAKER_05 |
transcript.pyannote[2649].start |
14356.97721875 |
transcript.pyannote[2649].end |
14357.26409375 |
transcript.pyannote[2650].speaker |
SPEAKER_41 |
transcript.pyannote[2650].start |
14357.26409375 |
transcript.pyannote[2650].end |
14357.28096875 |
transcript.pyannote[2651].speaker |
SPEAKER_05 |
transcript.pyannote[2651].start |
14357.28096875 |
transcript.pyannote[2651].end |
14357.29784375 |
transcript.pyannote[2652].speaker |
SPEAKER_05 |
transcript.pyannote[2652].start |
14357.55096875 |
transcript.pyannote[2652].end |
14360.87534375 |
transcript.pyannote[2653].speaker |
SPEAKER_09 |
transcript.pyannote[2653].start |
14361.31409375 |
transcript.pyannote[2653].end |
14370.37596875 |
transcript.pyannote[2654].speaker |
SPEAKER_38 |
transcript.pyannote[2654].start |
14369.31284375 |
transcript.pyannote[2654].end |
14369.32971875 |
transcript.pyannote[2655].speaker |
SPEAKER_41 |
transcript.pyannote[2655].start |
14369.32971875 |
transcript.pyannote[2655].end |
14371.45596875 |
transcript.pyannote[2656].speaker |
SPEAKER_09 |
transcript.pyannote[2656].start |
14371.13534375 |
transcript.pyannote[2656].end |
14373.04221875 |
transcript.pyannote[2657].speaker |
SPEAKER_41 |
transcript.pyannote[2657].start |
14372.02971875 |
transcript.pyannote[2657].end |
14375.50596875 |
transcript.pyannote[2658].speaker |
SPEAKER_09 |
transcript.pyannote[2658].start |
14375.28659375 |
transcript.pyannote[2658].end |
14382.96471875 |
transcript.pyannote[2659].speaker |
SPEAKER_41 |
transcript.pyannote[2659].start |
14381.90159375 |
transcript.pyannote[2659].end |
14385.98534375 |
transcript.pyannote[2660].speaker |
SPEAKER_09 |
transcript.pyannote[2660].start |
14385.10784375 |
transcript.pyannote[2660].end |
14390.77784375 |
transcript.pyannote[2661].speaker |
SPEAKER_41 |
transcript.pyannote[2661].start |
14386.77846875 |
transcript.pyannote[2661].end |
14387.16659375 |
transcript.pyannote[2662].speaker |
SPEAKER_41 |
transcript.pyannote[2662].start |
14388.87096875 |
transcript.pyannote[2662].end |
14393.86596875 |
transcript.pyannote[2663].speaker |
SPEAKER_09 |
transcript.pyannote[2663].start |
14393.86596875 |
transcript.pyannote[2663].end |
14406.23534375 |
transcript.pyannote[2664].speaker |
SPEAKER_41 |
transcript.pyannote[2664].start |
14394.55784375 |
transcript.pyannote[2664].end |
14394.96284375 |
transcript.pyannote[2665].speaker |
SPEAKER_41 |
transcript.pyannote[2665].start |
14405.86409375 |
transcript.pyannote[2665].end |
14407.92284375 |
transcript.pyannote[2666].speaker |
SPEAKER_09 |
transcript.pyannote[2666].start |
14407.92284375 |
transcript.pyannote[2666].end |
14408.64846875 |
transcript.pyannote[2667].speaker |
SPEAKER_41 |
transcript.pyannote[2667].start |
14408.20971875 |
transcript.pyannote[2667].end |
14409.79596875 |
transcript.pyannote[2668].speaker |
SPEAKER_41 |
transcript.pyannote[2668].start |
14409.96471875 |
transcript.pyannote[2668].end |
14413.40721875 |
transcript.pyannote[2669].speaker |
SPEAKER_41 |
transcript.pyannote[2669].start |
14413.72784375 |
transcript.pyannote[2669].end |
14416.36034375 |
transcript.pyannote[2670].speaker |
SPEAKER_41 |
transcript.pyannote[2670].start |
14417.00159375 |
transcript.pyannote[2670].end |
14428.86471875 |
transcript.pyannote[2671].speaker |
SPEAKER_41 |
transcript.pyannote[2671].start |
14429.47221875 |
transcript.pyannote[2671].end |
14436.37409375 |
transcript.pyannote[2672].speaker |
SPEAKER_41 |
transcript.pyannote[2672].start |
14436.69471875 |
transcript.pyannote[2672].end |
14437.94346875 |
transcript.pyannote[2673].speaker |
SPEAKER_04 |
transcript.pyannote[2673].start |
14438.41596875 |
transcript.pyannote[2673].end |
14438.43284375 |
transcript.pyannote[2674].speaker |
SPEAKER_05 |
transcript.pyannote[2674].start |
14438.43284375 |
transcript.pyannote[2674].end |
14439.42846875 |
transcript.pyannote[2675].speaker |
SPEAKER_41 |
transcript.pyannote[2675].start |
14438.58471875 |
transcript.pyannote[2675].end |
14439.49596875 |
transcript.pyannote[2676].speaker |
SPEAKER_05 |
transcript.pyannote[2676].start |
14439.49596875 |
transcript.pyannote[2676].end |
14445.16596875 |
transcript.pyannote[2677].speaker |
SPEAKER_41 |
transcript.pyannote[2677].start |
14445.13221875 |
transcript.pyannote[2677].end |
14449.80659375 |
transcript.pyannote[2678].speaker |
SPEAKER_41 |
transcript.pyannote[2678].start |
14450.02596875 |
transcript.pyannote[2678].end |
14455.27409375 |
transcript.pyannote[2679].speaker |
SPEAKER_41 |
transcript.pyannote[2679].start |
14455.91534375 |
transcript.pyannote[2679].end |
14484.83909375 |
transcript.pyannote[2680].speaker |
SPEAKER_04 |
transcript.pyannote[2680].start |
14455.96596875 |
transcript.pyannote[2680].end |
14456.38784375 |
transcript.pyannote[2681].speaker |
SPEAKER_41 |
transcript.pyannote[2681].start |
14485.22721875 |
transcript.pyannote[2681].end |
14486.57721875 |
transcript.pyannote[2682].speaker |
SPEAKER_05 |
transcript.pyannote[2682].start |
14486.08784375 |
transcript.pyannote[2682].end |
14489.00721875 |
transcript.pyannote[2683].speaker |
SPEAKER_41 |
transcript.pyannote[2683].start |
14488.38284375 |
transcript.pyannote[2683].end |
14488.93971875 |
transcript.pyannote[2684].speaker |
SPEAKER_05 |
transcript.pyannote[2684].start |
14489.36159375 |
transcript.pyannote[2684].end |
14492.31471875 |
transcript.pyannote[2685].speaker |
SPEAKER_05 |
transcript.pyannote[2685].start |
14492.65221875 |
transcript.pyannote[2685].end |
14493.68159375 |
transcript.pyannote[2686].speaker |
SPEAKER_09 |
transcript.pyannote[2686].start |
14494.47471875 |
transcript.pyannote[2686].end |
14507.08034375 |
transcript.pyannote[2687].speaker |
SPEAKER_41 |
transcript.pyannote[2687].start |
14503.09784375 |
transcript.pyannote[2687].end |
14510.16846875 |
transcript.pyannote[2688].speaker |
SPEAKER_41 |
transcript.pyannote[2688].start |
14510.74221875 |
transcript.pyannote[2688].end |
14519.92221875 |
transcript.pyannote[2689].speaker |
SPEAKER_41 |
transcript.pyannote[2689].start |
14520.49596875 |
transcript.pyannote[2689].end |
14520.74909375 |
transcript.pyannote[2690].speaker |
SPEAKER_05 |
transcript.pyannote[2690].start |
14520.74909375 |
transcript.pyannote[2690].end |
14520.81659375 |
transcript.pyannote[2691].speaker |
SPEAKER_41 |
transcript.pyannote[2691].start |
14520.81659375 |
transcript.pyannote[2691].end |
14522.31846875 |
transcript.pyannote[2692].speaker |
SPEAKER_05 |
transcript.pyannote[2692].start |
14520.85034375 |
transcript.pyannote[2692].end |
14522.70659375 |
transcript.pyannote[2693].speaker |
SPEAKER_05 |
transcript.pyannote[2693].start |
14522.94284375 |
transcript.pyannote[2693].end |
14526.53721875 |
transcript.pyannote[2694].speaker |
SPEAKER_41 |
transcript.pyannote[2694].start |
14526.21659375 |
transcript.pyannote[2694].end |
14543.96909375 |
transcript.pyannote[2695].speaker |
SPEAKER_05 |
transcript.pyannote[2695].start |
14528.91659375 |
transcript.pyannote[2695].end |
14529.01784375 |
transcript.pyannote[2696].speaker |
SPEAKER_05 |
transcript.pyannote[2696].start |
14531.04284375 |
transcript.pyannote[2696].end |
14531.43096875 |
transcript.pyannote[2697].speaker |
SPEAKER_03 |
transcript.pyannote[2697].start |
14543.69909375 |
transcript.pyannote[2697].end |
14544.74534375 |
transcript.pyannote[2698].speaker |
SPEAKER_41 |
transcript.pyannote[2698].start |
14544.49221875 |
transcript.pyannote[2698].end |
14551.61346875 |
transcript.pyannote[2699].speaker |
SPEAKER_05 |
transcript.pyannote[2699].start |
14544.74534375 |
transcript.pyannote[2699].end |
14544.79596875 |
transcript.pyannote[2700].speaker |
SPEAKER_05 |
transcript.pyannote[2700].start |
14550.16221875 |
transcript.pyannote[2700].end |
14552.28846875 |
transcript.pyannote[2701].speaker |
SPEAKER_41 |
transcript.pyannote[2701].start |
14552.23784375 |
transcript.pyannote[2701].end |
14583.37221875 |
transcript.pyannote[2702].speaker |
SPEAKER_41 |
transcript.pyannote[2702].start |
14584.19909375 |
transcript.pyannote[2702].end |
14589.51471875 |
transcript.pyannote[2703].speaker |
SPEAKER_37 |
transcript.pyannote[2703].start |
14588.51909375 |
transcript.pyannote[2703].end |
14588.67096875 |
transcript.pyannote[2704].speaker |
SPEAKER_41 |
transcript.pyannote[2704].start |
14590.15596875 |
transcript.pyannote[2704].end |
14591.38784375 |
transcript.pyannote[2705].speaker |
SPEAKER_41 |
transcript.pyannote[2705].start |
14592.38346875 |
transcript.pyannote[2705].end |
14594.08784375 |
transcript.pyannote[2706].speaker |
SPEAKER_41 |
transcript.pyannote[2706].start |
14594.39159375 |
transcript.pyannote[2706].end |
14595.97784375 |
transcript.pyannote[2707].speaker |
SPEAKER_33 |
transcript.pyannote[2707].start |
14595.97784375 |
transcript.pyannote[2707].end |
14596.06221875 |
transcript.pyannote[2708].speaker |
SPEAKER_33 |
transcript.pyannote[2708].start |
14596.28159375 |
transcript.pyannote[2708].end |
14597.93534375 |
transcript.pyannote[2709].speaker |
SPEAKER_38 |
transcript.pyannote[2709].start |
14597.93534375 |
transcript.pyannote[2709].end |
14598.39096875 |
transcript.pyannote[2710].speaker |
SPEAKER_33 |
transcript.pyannote[2710].start |
14598.35721875 |
transcript.pyannote[2710].end |
14614.32096875 |
transcript.pyannote[2711].speaker |
SPEAKER_38 |
transcript.pyannote[2711].start |
14598.42471875 |
transcript.pyannote[2711].end |
14598.44159375 |
transcript.pyannote[2712].speaker |
SPEAKER_38 |
transcript.pyannote[2712].start |
14598.45846875 |
transcript.pyannote[2712].end |
14598.47534375 |
transcript.pyannote[2713].speaker |
SPEAKER_33 |
transcript.pyannote[2713].start |
14614.86096875 |
transcript.pyannote[2713].end |
14615.02971875 |
transcript.pyannote[2714].speaker |
SPEAKER_41 |
transcript.pyannote[2714].start |
14615.02971875 |
transcript.pyannote[2714].end |
14615.65409375 |
transcript.pyannote[2715].speaker |
SPEAKER_33 |
transcript.pyannote[2715].start |
14615.65409375 |
transcript.pyannote[2715].end |
14615.67096875 |
transcript.pyannote[2716].speaker |
SPEAKER_33 |
transcript.pyannote[2716].start |
14615.99159375 |
transcript.pyannote[2716].end |
14616.02534375 |
transcript.pyannote[2717].speaker |
SPEAKER_41 |
transcript.pyannote[2717].start |
14616.02534375 |
transcript.pyannote[2717].end |
14616.76784375 |
transcript.pyannote[2718].speaker |
SPEAKER_41 |
transcript.pyannote[2718].start |
14617.45971875 |
transcript.pyannote[2718].end |
14620.31159375 |
transcript.pyannote[2719].speaker |
SPEAKER_41 |
transcript.pyannote[2719].start |
14620.86846875 |
transcript.pyannote[2719].end |
14623.60221875 |
transcript.pyannote[2720].speaker |
SPEAKER_04 |
transcript.pyannote[2720].start |
14622.65721875 |
transcript.pyannote[2720].end |
14622.94409375 |
transcript.pyannote[2721].speaker |
SPEAKER_41 |
transcript.pyannote[2721].start |
14624.49659375 |
transcript.pyannote[2721].end |
14625.72846875 |
transcript.pyannote[2722].speaker |
SPEAKER_05 |
transcript.pyannote[2722].start |
14625.89721875 |
transcript.pyannote[2722].end |
14628.42846875 |
transcript.pyannote[2723].speaker |
SPEAKER_41 |
transcript.pyannote[2723].start |
14628.41159375 |
transcript.pyannote[2723].end |
14632.30971875 |
transcript.pyannote[2724].speaker |
SPEAKER_05 |
transcript.pyannote[2724].start |
14628.54659375 |
transcript.pyannote[2724].end |
14628.61409375 |
transcript.pyannote[2725].speaker |
SPEAKER_41 |
transcript.pyannote[2725].start |
14633.10284375 |
transcript.pyannote[2725].end |
14633.11971875 |
transcript.pyannote[2726].speaker |
SPEAKER_05 |
transcript.pyannote[2726].start |
14633.11971875 |
transcript.pyannote[2726].end |
14634.58784375 |
transcript.pyannote[2727].speaker |
SPEAKER_41 |
transcript.pyannote[2727].start |
14634.04784375 |
transcript.pyannote[2727].end |
14634.46971875 |
transcript.pyannote[2728].speaker |
SPEAKER_41 |
transcript.pyannote[2728].start |
14634.58784375 |
transcript.pyannote[2728].end |
14634.97596875 |
transcript.pyannote[2729].speaker |
SPEAKER_05 |
transcript.pyannote[2729].start |
14634.97596875 |
transcript.pyannote[2729].end |
14649.94409375 |
transcript.pyannote[2730].speaker |
SPEAKER_41 |
transcript.pyannote[2730].start |
14649.94409375 |
transcript.pyannote[2730].end |
14651.73284375 |
transcript.pyannote[2731].speaker |
SPEAKER_05 |
transcript.pyannote[2731].start |
14651.24346875 |
transcript.pyannote[2731].end |
14653.48784375 |
transcript.pyannote[2732].speaker |
SPEAKER_41 |
transcript.pyannote[2732].start |
14653.08284375 |
transcript.pyannote[2732].end |
14658.56721875 |
transcript.pyannote[2733].speaker |
SPEAKER_04 |
transcript.pyannote[2733].start |
14656.74471875 |
transcript.pyannote[2733].end |
14657.50409375 |
transcript.pyannote[2734].speaker |
SPEAKER_04 |
transcript.pyannote[2734].start |
14658.80346875 |
transcript.pyannote[2734].end |
14659.95096875 |
transcript.pyannote[2735].speaker |
SPEAKER_41 |
transcript.pyannote[2735].start |
14659.61346875 |
transcript.pyannote[2735].end |
14670.54846875 |
transcript.pyannote[2736].speaker |
SPEAKER_04 |
transcript.pyannote[2736].start |
14662.68471875 |
transcript.pyannote[2736].end |
14662.95471875 |
transcript.pyannote[2737].speaker |
SPEAKER_05 |
transcript.pyannote[2737].start |
14669.83971875 |
transcript.pyannote[2737].end |
14671.25721875 |
transcript.pyannote[2738].speaker |
SPEAKER_41 |
transcript.pyannote[2738].start |
14670.61596875 |
transcript.pyannote[2738].end |
14673.73784375 |
transcript.pyannote[2739].speaker |
SPEAKER_05 |
transcript.pyannote[2739].start |
14673.85596875 |
transcript.pyannote[2739].end |
14679.69471875 |
transcript.pyannote[2740].speaker |
SPEAKER_41 |
transcript.pyannote[2740].start |
14680.16721875 |
transcript.pyannote[2740].end |
14681.04471875 |
transcript.pyannote[2741].speaker |
SPEAKER_05 |
transcript.pyannote[2741].start |
14681.04471875 |
transcript.pyannote[2741].end |
14681.06159375 |
transcript.pyannote[2742].speaker |
SPEAKER_41 |
transcript.pyannote[2742].start |
14681.06159375 |
transcript.pyannote[2742].end |
14683.74471875 |
transcript.pyannote[2743].speaker |
SPEAKER_05 |
transcript.pyannote[2743].start |
14681.21346875 |
transcript.pyannote[2743].end |
14681.36534375 |
transcript.pyannote[2744].speaker |
SPEAKER_33 |
transcript.pyannote[2744].start |
14684.84159375 |
transcript.pyannote[2744].end |
14685.01034375 |
transcript.pyannote[2745].speaker |
SPEAKER_41 |
transcript.pyannote[2745].start |
14685.01034375 |
transcript.pyannote[2745].end |
14685.02721875 |
transcript.pyannote[2746].speaker |
SPEAKER_33 |
transcript.pyannote[2746].start |
14685.02721875 |
transcript.pyannote[2746].end |
14685.06096875 |
transcript.pyannote[2747].speaker |
SPEAKER_41 |
transcript.pyannote[2747].start |
14685.06096875 |
transcript.pyannote[2747].end |
14685.09471875 |
transcript.pyannote[2748].speaker |
SPEAKER_33 |
transcript.pyannote[2748].start |
14685.09471875 |
transcript.pyannote[2748].end |
14685.12846875 |
transcript.pyannote[2749].speaker |
SPEAKER_41 |
transcript.pyannote[2749].start |
14685.12846875 |
transcript.pyannote[2749].end |
14688.30096875 |
transcript.pyannote[2750].speaker |
SPEAKER_33 |
transcript.pyannote[2750].start |
14686.09034375 |
transcript.pyannote[2750].end |
14687.20409375 |
transcript.pyannote[2751].speaker |
SPEAKER_20 |
transcript.pyannote[2751].start |
14690.08971875 |
transcript.pyannote[2751].end |
14691.96284375 |
transcript.pyannote[2752].speaker |
SPEAKER_20 |
transcript.pyannote[2752].start |
14692.38471875 |
transcript.pyannote[2752].end |
14692.95846875 |
transcript.pyannote[2753].speaker |
SPEAKER_20 |
transcript.pyannote[2753].start |
14693.41409375 |
transcript.pyannote[2753].end |
14696.24909375 |
transcript.pyannote[2754].speaker |
SPEAKER_39 |
transcript.pyannote[2754].start |
14720.34659375 |
transcript.pyannote[2754].end |
14723.29971875 |
transcript.pyannote[2755].speaker |
SPEAKER_03 |
transcript.pyannote[2755].start |
14728.15971875 |
transcript.pyannote[2755].end |
14728.75034375 |
transcript.pyannote[2756].speaker |
SPEAKER_39 |
transcript.pyannote[2756].start |
14728.75034375 |
transcript.pyannote[2756].end |
14728.76721875 |
transcript.pyannote[2757].speaker |
SPEAKER_39 |
transcript.pyannote[2757].start |
14729.25659375 |
transcript.pyannote[2757].end |
14773.77284375 |
transcript.pyannote[2758].speaker |
SPEAKER_39 |
transcript.pyannote[2758].start |
14773.97534375 |
transcript.pyannote[2758].end |
14783.13846875 |
transcript.pyannote[2759].speaker |
SPEAKER_05 |
transcript.pyannote[2759].start |
14784.01596875 |
transcript.pyannote[2759].end |
14784.58971875 |
transcript.pyannote[2760].speaker |
SPEAKER_05 |
transcript.pyannote[2760].start |
14784.79221875 |
transcript.pyannote[2760].end |
14789.29784375 |
transcript.pyannote[2761].speaker |
SPEAKER_39 |
transcript.pyannote[2761].start |
14789.29784375 |
transcript.pyannote[2761].end |
14796.26721875 |
transcript.pyannote[2762].speaker |
SPEAKER_05 |
transcript.pyannote[2762].start |
14790.90096875 |
transcript.pyannote[2762].end |
14791.81221875 |
transcript.pyannote[2763].speaker |
SPEAKER_39 |
transcript.pyannote[2763].start |
14796.65534375 |
transcript.pyannote[2763].end |
14799.35534375 |
transcript.pyannote[2764].speaker |
SPEAKER_39 |
transcript.pyannote[2764].start |
14799.91221875 |
transcript.pyannote[2764].end |
14801.12721875 |
transcript.pyannote[2765].speaker |
SPEAKER_05 |
transcript.pyannote[2765].start |
14801.12721875 |
transcript.pyannote[2765].end |
14803.35471875 |
transcript.pyannote[2766].speaker |
SPEAKER_11 |
transcript.pyannote[2766].start |
14803.35471875 |
transcript.pyannote[2766].end |
14807.21909375 |
transcript.pyannote[2767].speaker |
SPEAKER_11 |
transcript.pyannote[2767].start |
14807.57346875 |
transcript.pyannote[2767].end |
14815.57221875 |
transcript.pyannote[2768].speaker |
SPEAKER_39 |
transcript.pyannote[2768].start |
14814.96471875 |
transcript.pyannote[2768].end |
14825.05596875 |
transcript.pyannote[2769].speaker |
SPEAKER_11 |
transcript.pyannote[2769].start |
14818.22159375 |
transcript.pyannote[2769].end |
14818.57596875 |
transcript.pyannote[2770].speaker |
SPEAKER_39 |
transcript.pyannote[2770].start |
14826.18659375 |
transcript.pyannote[2770].end |
14830.32096875 |
transcript.pyannote[2771].speaker |
SPEAKER_39 |
transcript.pyannote[2771].start |
14830.38846875 |
transcript.pyannote[2771].end |
14833.66221875 |
transcript.pyannote[2772].speaker |
SPEAKER_39 |
transcript.pyannote[2772].start |
14834.28659375 |
transcript.pyannote[2772].end |
14836.46346875 |
transcript.pyannote[2773].speaker |
SPEAKER_11 |
transcript.pyannote[2773].start |
14836.46346875 |
transcript.pyannote[2773].end |
14836.48034375 |
transcript.pyannote[2774].speaker |
SPEAKER_39 |
transcript.pyannote[2774].start |
14836.48034375 |
transcript.pyannote[2774].end |
14836.93596875 |
transcript.pyannote[2775].speaker |
SPEAKER_11 |
transcript.pyannote[2775].start |
14837.23971875 |
transcript.pyannote[2775].end |
14837.27346875 |
transcript.pyannote[2776].speaker |
SPEAKER_39 |
transcript.pyannote[2776].start |
14837.27346875 |
transcript.pyannote[2776].end |
14842.99409375 |
transcript.pyannote[2777].speaker |
SPEAKER_11 |
transcript.pyannote[2777].start |
14837.39159375 |
transcript.pyannote[2777].end |
14837.64471875 |
transcript.pyannote[2778].speaker |
SPEAKER_11 |
transcript.pyannote[2778].start |
14841.82971875 |
transcript.pyannote[2778].end |
14843.06159375 |
transcript.pyannote[2779].speaker |
SPEAKER_11 |
transcript.pyannote[2779].start |
14843.14596875 |
transcript.pyannote[2779].end |
14845.76159375 |
transcript.pyannote[2780].speaker |
SPEAKER_39 |
transcript.pyannote[2780].start |
14844.91784375 |
transcript.pyannote[2780].end |
14854.58721875 |
transcript.pyannote[2781].speaker |
SPEAKER_05 |
transcript.pyannote[2781].start |
14852.95034375 |
transcript.pyannote[2781].end |
14856.37596875 |
transcript.pyannote[2782].speaker |
SPEAKER_39 |
transcript.pyannote[2782].start |
14856.37596875 |
transcript.pyannote[2782].end |
14856.49409375 |
transcript.pyannote[2783].speaker |
SPEAKER_05 |
transcript.pyannote[2783].start |
14856.40971875 |
transcript.pyannote[2783].end |
14856.46034375 |
transcript.pyannote[2784].speaker |
SPEAKER_05 |
transcript.pyannote[2784].start |
14856.49409375 |
transcript.pyannote[2784].end |
14857.08471875 |
transcript.pyannote[2785].speaker |
SPEAKER_39 |
transcript.pyannote[2785].start |
14857.08471875 |
transcript.pyannote[2785].end |
14878.26284375 |
transcript.pyannote[2786].speaker |
SPEAKER_39 |
transcript.pyannote[2786].start |
14878.43159375 |
transcript.pyannote[2786].end |
14880.96284375 |
transcript.pyannote[2787].speaker |
SPEAKER_05 |
transcript.pyannote[2787].start |
14880.96284375 |
transcript.pyannote[2787].end |
14892.03284375 |
transcript.pyannote[2788].speaker |
SPEAKER_39 |
transcript.pyannote[2788].start |
14892.03284375 |
transcript.pyannote[2788].end |
14892.20159375 |
transcript.pyannote[2789].speaker |
SPEAKER_04 |
transcript.pyannote[2789].start |
14892.33659375 |
transcript.pyannote[2789].end |
14896.23471875 |
transcript.pyannote[2790].speaker |
SPEAKER_05 |
transcript.pyannote[2790].start |
14893.55159375 |
transcript.pyannote[2790].end |
14893.56846875 |
transcript.pyannote[2791].speaker |
SPEAKER_39 |
transcript.pyannote[2791].start |
14893.56846875 |
transcript.pyannote[2791].end |
14896.25159375 |
transcript.pyannote[2792].speaker |
SPEAKER_04 |
transcript.pyannote[2792].start |
14896.25159375 |
transcript.pyannote[2792].end |
14896.31909375 |
transcript.pyannote[2793].speaker |
SPEAKER_39 |
transcript.pyannote[2793].start |
14896.97721875 |
transcript.pyannote[2793].end |
14907.64221875 |
transcript.pyannote[2794].speaker |
SPEAKER_39 |
transcript.pyannote[2794].start |
14908.04721875 |
transcript.pyannote[2794].end |
14911.06784375 |
transcript.pyannote[2795].speaker |
SPEAKER_43 |
transcript.pyannote[2795].start |
14909.61659375 |
transcript.pyannote[2795].end |
14935.03034375 |
transcript.pyannote[2796].speaker |
SPEAKER_39 |
transcript.pyannote[2796].start |
14935.03034375 |
transcript.pyannote[2796].end |
14937.96659375 |
transcript.pyannote[2797].speaker |
SPEAKER_39 |
transcript.pyannote[2797].start |
14938.48971875 |
transcript.pyannote[2797].end |
14949.54284375 |
transcript.pyannote[2798].speaker |
SPEAKER_38 |
transcript.pyannote[2798].start |
14947.29846875 |
transcript.pyannote[2798].end |
14947.50096875 |
transcript.pyannote[2799].speaker |
SPEAKER_38 |
transcript.pyannote[2799].start |
14948.98596875 |
transcript.pyannote[2799].end |
14949.72846875 |
transcript.pyannote[2800].speaker |
SPEAKER_39 |
transcript.pyannote[2800].start |
14949.72846875 |
transcript.pyannote[2800].end |
14956.27596875 |
transcript.pyannote[2801].speaker |
SPEAKER_05 |
transcript.pyannote[2801].start |
14954.53784375 |
transcript.pyannote[2801].end |
14957.20409375 |
transcript.pyannote[2802].speaker |
SPEAKER_39 |
transcript.pyannote[2802].start |
14957.20409375 |
transcript.pyannote[2802].end |
14998.37909375 |
transcript.pyannote[2803].speaker |
SPEAKER_05 |
transcript.pyannote[2803].start |
14959.12784375 |
transcript.pyannote[2803].end |
14961.05159375 |
transcript.pyannote[2804].speaker |
SPEAKER_39 |
transcript.pyannote[2804].start |
14998.80096875 |
transcript.pyannote[2804].end |
14999.27346875 |
transcript.pyannote[2805].speaker |
SPEAKER_05 |
transcript.pyannote[2805].start |
14999.27346875 |
transcript.pyannote[2805].end |
14999.35784375 |
transcript.pyannote[2806].speaker |
SPEAKER_39 |
transcript.pyannote[2806].start |
14999.39159375 |
transcript.pyannote[2806].end |
14999.66159375 |
transcript.pyannote[2807].speaker |
SPEAKER_05 |
transcript.pyannote[2807].start |
14999.98221875 |
transcript.pyannote[2807].end |
15006.02346875 |
transcript.pyannote[2808].speaker |
SPEAKER_39 |
transcript.pyannote[2808].start |
15006.02346875 |
transcript.pyannote[2808].end |
15009.12846875 |
transcript.pyannote[2809].speaker |
SPEAKER_39 |
transcript.pyannote[2809].start |
15009.76971875 |
transcript.pyannote[2809].end |
15022.56096875 |
transcript.pyannote[2810].speaker |
SPEAKER_05 |
transcript.pyannote[2810].start |
15022.67909375 |
transcript.pyannote[2810].end |
15026.17221875 |
transcript.pyannote[2811].speaker |
SPEAKER_39 |
transcript.pyannote[2811].start |
15024.45096875 |
transcript.pyannote[2811].end |
15025.86846875 |
transcript.pyannote[2812].speaker |
SPEAKER_39 |
transcript.pyannote[2812].start |
15026.17221875 |
transcript.pyannote[2812].end |
15034.54221875 |
transcript.pyannote[2813].speaker |
SPEAKER_39 |
transcript.pyannote[2813].start |
15035.06534375 |
transcript.pyannote[2813].end |
15039.73971875 |
transcript.pyannote[2814].speaker |
SPEAKER_39 |
transcript.pyannote[2814].start |
15040.07721875 |
transcript.pyannote[2814].end |
15100.10159375 |
transcript.pyannote[2815].speaker |
SPEAKER_39 |
transcript.pyannote[2815].start |
15100.92846875 |
transcript.pyannote[2815].end |
15109.06221875 |
transcript.pyannote[2816].speaker |
SPEAKER_39 |
transcript.pyannote[2816].start |
15109.80471875 |
transcript.pyannote[2816].end |
15118.61346875 |
transcript.pyannote[2817].speaker |
SPEAKER_39 |
transcript.pyannote[2817].start |
15119.08596875 |
transcript.pyannote[2817].end |
15127.25346875 |
transcript.pyannote[2818].speaker |
SPEAKER_05 |
transcript.pyannote[2818].start |
15127.81034375 |
transcript.pyannote[2818].end |
15136.93971875 |
transcript.pyannote[2819].speaker |
SPEAKER_39 |
transcript.pyannote[2819].start |
15136.06221875 |
transcript.pyannote[2819].end |
15136.50096875 |
transcript.pyannote[2820].speaker |
SPEAKER_05 |
transcript.pyannote[2820].start |
15138.39096875 |
transcript.pyannote[2820].end |
15139.16721875 |
transcript.pyannote[2821].speaker |
SPEAKER_02 |
transcript.pyannote[2821].start |
15139.16721875 |
transcript.pyannote[2821].end |
15139.18409375 |
transcript.pyannote[2822].speaker |
SPEAKER_05 |
transcript.pyannote[2822].start |
15140.41596875 |
transcript.pyannote[2822].end |
15140.44971875 |
transcript.pyannote[2823].speaker |
SPEAKER_02 |
transcript.pyannote[2823].start |
15140.44971875 |
transcript.pyannote[2823].end |
15144.46596875 |
transcript.pyannote[2824].speaker |
SPEAKER_05 |
transcript.pyannote[2824].start |
15141.90096875 |
transcript.pyannote[2824].end |
15142.81221875 |
transcript.pyannote[2825].speaker |
SPEAKER_05 |
transcript.pyannote[2825].start |
15143.45346875 |
transcript.pyannote[2825].end |
15143.97659375 |
transcript.pyannote[2826].speaker |
SPEAKER_00 |
transcript.pyannote[2826].start |
15143.97659375 |
transcript.pyannote[2826].end |
15144.39846875 |
transcript.pyannote[2827].speaker |
SPEAKER_02 |
transcript.pyannote[2827].start |
15145.05659375 |
transcript.pyannote[2827].end |
15152.88659375 |
transcript.pyannote[2828].speaker |
SPEAKER_39 |
transcript.pyannote[2828].start |
15150.86159375 |
transcript.pyannote[2828].end |
15151.09784375 |
transcript.pyannote[2829].speaker |
SPEAKER_02 |
transcript.pyannote[2829].start |
15152.92034375 |
transcript.pyannote[2829].end |
15152.95409375 |
transcript.pyannote[2830].speaker |
SPEAKER_39 |
transcript.pyannote[2830].start |
15152.95409375 |
transcript.pyannote[2830].end |
15155.35034375 |
transcript.pyannote[2831].speaker |
SPEAKER_02 |
transcript.pyannote[2831].start |
15155.58659375 |
transcript.pyannote[2831].end |
15156.12659375 |
transcript.pyannote[2832].speaker |
SPEAKER_39 |
transcript.pyannote[2832].start |
15156.12659375 |
transcript.pyannote[2832].end |
15164.51346875 |
transcript.pyannote[2833].speaker |
SPEAKER_39 |
transcript.pyannote[2833].start |
15164.69909375 |
transcript.pyannote[2833].end |
15206.16096875 |
transcript.pyannote[2834].speaker |
SPEAKER_04 |
transcript.pyannote[2834].start |
15206.59971875 |
transcript.pyannote[2834].end |
15206.61659375 |
transcript.pyannote[2835].speaker |
SPEAKER_05 |
transcript.pyannote[2835].start |
15206.61659375 |
transcript.pyannote[2835].end |
15207.79784375 |
transcript.pyannote[2836].speaker |
SPEAKER_39 |
transcript.pyannote[2836].start |
15206.88659375 |
transcript.pyannote[2836].end |
15207.83159375 |
transcript.pyannote[2837].speaker |
SPEAKER_05 |
transcript.pyannote[2837].start |
15207.83159375 |
transcript.pyannote[2837].end |
15212.05034375 |
transcript.pyannote[2838].speaker |
SPEAKER_20 |
transcript.pyannote[2838].start |
15212.26971875 |
transcript.pyannote[2838].end |
15213.72096875 |
transcript.pyannote[2839].speaker |
SPEAKER_39 |
transcript.pyannote[2839].start |
15213.58596875 |
transcript.pyannote[2839].end |
15213.88971875 |
transcript.pyannote[2840].speaker |
SPEAKER_39 |
transcript.pyannote[2840].start |
15214.41284375 |
transcript.pyannote[2840].end |
15233.11034375 |
transcript.pyannote[2841].speaker |
SPEAKER_20 |
transcript.pyannote[2841].start |
15230.76471875 |
transcript.pyannote[2841].end |
15232.51971875 |
transcript.pyannote[2842].speaker |
SPEAKER_03 |
transcript.pyannote[2842].start |
15232.51971875 |
transcript.pyannote[2842].end |
15232.72221875 |
transcript.pyannote[2843].speaker |
SPEAKER_39 |
transcript.pyannote[2843].start |
15233.44784375 |
transcript.pyannote[2843].end |
15233.46471875 |
transcript.pyannote[2844].speaker |
SPEAKER_20 |
transcript.pyannote[2844].start |
15233.46471875 |
transcript.pyannote[2844].end |
15237.34596875 |
transcript.pyannote[2845].speaker |
SPEAKER_20 |
transcript.pyannote[2845].start |
15238.99971875 |
transcript.pyannote[2845].end |
15241.26096875 |
transcript.pyannote[2846].speaker |
SPEAKER_28 |
transcript.pyannote[2846].start |
15250.35659375 |
transcript.pyannote[2846].end |
15252.49971875 |
transcript.pyannote[2847].speaker |
SPEAKER_28 |
transcript.pyannote[2847].start |
15252.88784375 |
transcript.pyannote[2847].end |
15254.72721875 |
transcript.pyannote[2848].speaker |
SPEAKER_28 |
transcript.pyannote[2848].start |
15255.65534375 |
transcript.pyannote[2848].end |
15257.27534375 |
transcript.pyannote[2849].speaker |
SPEAKER_28 |
transcript.pyannote[2849].start |
15263.13096875 |
transcript.pyannote[2849].end |
15264.54846875 |
transcript.pyannote[2850].speaker |
SPEAKER_28 |
transcript.pyannote[2850].start |
15265.72971875 |
transcript.pyannote[2850].end |
15268.46346875 |
transcript.pyannote[2851].speaker |
SPEAKER_28 |
transcript.pyannote[2851].start |
15269.71221875 |
transcript.pyannote[2851].end |
15284.12346875 |
transcript.pyannote[2852].speaker |
SPEAKER_28 |
transcript.pyannote[2852].start |
15284.47784375 |
transcript.pyannote[2852].end |
15287.05971875 |
transcript.pyannote[2853].speaker |
SPEAKER_28 |
transcript.pyannote[2853].start |
15287.53221875 |
transcript.pyannote[2853].end |
15289.55721875 |
transcript.pyannote[2854].speaker |
SPEAKER_38 |
transcript.pyannote[2854].start |
15289.55721875 |
transcript.pyannote[2854].end |
15289.96221875 |
transcript.pyannote[2855].speaker |
SPEAKER_28 |
transcript.pyannote[2855].start |
15290.11409375 |
transcript.pyannote[2855].end |
15300.05346875 |
transcript.pyannote[2856].speaker |
SPEAKER_28 |
transcript.pyannote[2856].start |
15301.16721875 |
transcript.pyannote[2856].end |
15316.40534375 |
transcript.pyannote[2857].speaker |
SPEAKER_28 |
transcript.pyannote[2857].start |
15316.70909375 |
transcript.pyannote[2857].end |
15317.29971875 |
transcript.pyannote[2858].speaker |
SPEAKER_28 |
transcript.pyannote[2858].start |
15317.77221875 |
transcript.pyannote[2858].end |
15319.25721875 |
transcript.pyannote[2859].speaker |
SPEAKER_28 |
transcript.pyannote[2859].start |
15319.83096875 |
transcript.pyannote[2859].end |
15325.14659375 |
transcript.pyannote[2860].speaker |
SPEAKER_28 |
transcript.pyannote[2860].start |
15325.58534375 |
transcript.pyannote[2860].end |
15326.02409375 |
transcript.pyannote[2861].speaker |
SPEAKER_28 |
transcript.pyannote[2861].start |
15328.31909375 |
transcript.pyannote[2861].end |
15329.44971875 |
transcript.pyannote[2862].speaker |
SPEAKER_28 |
transcript.pyannote[2862].start |
15330.19221875 |
transcript.pyannote[2862].end |
15333.85409375 |
transcript.pyannote[2863].speaker |
SPEAKER_28 |
transcript.pyannote[2863].start |
15334.10721875 |
transcript.pyannote[2863].end |
15337.07721875 |
transcript.pyannote[2864].speaker |
SPEAKER_28 |
transcript.pyannote[2864].start |
15338.05596875 |
transcript.pyannote[2864].end |
15338.42721875 |
transcript.pyannote[2865].speaker |
SPEAKER_28 |
transcript.pyannote[2865].start |
15339.74346875 |
transcript.pyannote[2865].end |
15343.64159375 |
transcript.pyannote[2866].speaker |
SPEAKER_28 |
transcript.pyannote[2866].start |
15344.06346875 |
transcript.pyannote[2866].end |
15346.29096875 |
transcript.pyannote[2867].speaker |
SPEAKER_28 |
transcript.pyannote[2867].start |
15347.11784375 |
transcript.pyannote[2867].end |
15348.95721875 |
transcript.pyannote[2868].speaker |
SPEAKER_28 |
transcript.pyannote[2868].start |
15349.80096875 |
transcript.pyannote[2868].end |
15350.29034375 |
transcript.pyannote[2869].speaker |
SPEAKER_28 |
transcript.pyannote[2869].start |
15350.50971875 |
transcript.pyannote[2869].end |
15361.95096875 |
transcript.pyannote[2870].speaker |
SPEAKER_28 |
transcript.pyannote[2870].start |
15364.22909375 |
transcript.pyannote[2870].end |
15366.40596875 |
transcript.pyannote[2871].speaker |
SPEAKER_28 |
transcript.pyannote[2871].start |
15367.70534375 |
transcript.pyannote[2871].end |
15369.67971875 |
transcript.pyannote[2872].speaker |
SPEAKER_28 |
transcript.pyannote[2872].start |
15369.94971875 |
transcript.pyannote[2872].end |
15373.54409375 |
transcript.pyannote[2873].speaker |
SPEAKER_28 |
transcript.pyannote[2873].start |
15373.57784375 |
transcript.pyannote[2873].end |
15375.68721875 |
transcript.pyannote[2874].speaker |
SPEAKER_28 |
transcript.pyannote[2874].start |
15376.76721875 |
transcript.pyannote[2874].end |
15377.37471875 |
transcript.pyannote[2875].speaker |
SPEAKER_28 |
transcript.pyannote[2875].start |
15377.71221875 |
transcript.pyannote[2875].end |
15381.03659375 |
transcript.pyannote[2876].speaker |
SPEAKER_28 |
transcript.pyannote[2876].start |
15381.05346875 |
transcript.pyannote[2876].end |
15388.42784375 |
transcript.pyannote[2877].speaker |
SPEAKER_38 |
transcript.pyannote[2877].start |
15388.42784375 |
transcript.pyannote[2877].end |
15388.71471875 |
transcript.pyannote[2878].speaker |
SPEAKER_28 |
transcript.pyannote[2878].start |
15389.06909375 |
transcript.pyannote[2878].end |
15391.81971875 |
transcript.pyannote[2879].speaker |
SPEAKER_38 |
transcript.pyannote[2879].start |
15391.83659375 |
transcript.pyannote[2879].end |
15392.08971875 |
transcript.pyannote[2880].speaker |
SPEAKER_28 |
transcript.pyannote[2880].start |
15392.30909375 |
transcript.pyannote[2880].end |
15405.69096875 |
transcript.pyannote[2881].speaker |
SPEAKER_05 |
transcript.pyannote[2881].start |
15406.11284375 |
transcript.pyannote[2881].end |
15435.96471875 |
transcript.pyannote[2882].speaker |
SPEAKER_28 |
transcript.pyannote[2882].start |
15435.96471875 |
transcript.pyannote[2882].end |
15440.01471875 |
transcript.pyannote[2883].speaker |
SPEAKER_38 |
transcript.pyannote[2883].start |
15440.01471875 |
transcript.pyannote[2883].end |
15440.26784375 |
transcript.pyannote[2884].speaker |
SPEAKER_28 |
transcript.pyannote[2884].start |
15440.26784375 |
transcript.pyannote[2884].end |
15444.87471875 |
transcript.pyannote[2885].speaker |
SPEAKER_05 |
transcript.pyannote[2885].start |
15444.70596875 |
transcript.pyannote[2885].end |
15444.80721875 |
transcript.pyannote[2886].speaker |
SPEAKER_05 |
transcript.pyannote[2886].start |
15444.82409375 |
transcript.pyannote[2886].end |
15444.84096875 |
transcript.pyannote[2887].speaker |
SPEAKER_05 |
transcript.pyannote[2887].start |
15444.87471875 |
transcript.pyannote[2887].end |
15446.42721875 |
transcript.pyannote[2888].speaker |
SPEAKER_28 |
transcript.pyannote[2888].start |
15446.42721875 |
transcript.pyannote[2888].end |
15447.62534375 |
transcript.pyannote[2889].speaker |
SPEAKER_05 |
transcript.pyannote[2889].start |
15446.46096875 |
transcript.pyannote[2889].end |
15446.83221875 |
transcript.pyannote[2890].speaker |
SPEAKER_28 |
transcript.pyannote[2890].start |
15448.26659375 |
transcript.pyannote[2890].end |
15460.51784375 |
transcript.pyannote[2891].speaker |
SPEAKER_05 |
transcript.pyannote[2891].start |
15449.09346875 |
transcript.pyannote[2891].end |
15449.44784375 |
transcript.pyannote[2892].speaker |
SPEAKER_05 |
transcript.pyannote[2892].start |
15457.75034375 |
transcript.pyannote[2892].end |
15458.57721875 |
transcript.pyannote[2893].speaker |
SPEAKER_05 |
transcript.pyannote[2893].start |
15459.87659375 |
transcript.pyannote[2893].end |
15461.19284375 |
transcript.pyannote[2894].speaker |
SPEAKER_28 |
transcript.pyannote[2894].start |
15460.88909375 |
transcript.pyannote[2894].end |
15466.10346875 |
transcript.pyannote[2895].speaker |
SPEAKER_05 |
transcript.pyannote[2895].start |
15465.07409375 |
transcript.pyannote[2895].end |
15473.42721875 |
transcript.pyannote[2896].speaker |
SPEAKER_28 |
transcript.pyannote[2896].start |
15468.60096875 |
transcript.pyannote[2896].end |
15468.78659375 |
transcript.pyannote[2897].speaker |
SPEAKER_28 |
transcript.pyannote[2897].start |
15472.92096875 |
transcript.pyannote[2897].end |
15473.35971875 |
transcript.pyannote[2898].speaker |
SPEAKER_28 |
transcript.pyannote[2898].start |
15473.42721875 |
transcript.pyannote[2898].end |
15475.48596875 |
transcript.pyannote[2899].speaker |
SPEAKER_28 |
transcript.pyannote[2899].start |
15475.95846875 |
transcript.pyannote[2899].end |
15476.46471875 |
transcript.pyannote[2900].speaker |
SPEAKER_05 |
transcript.pyannote[2900].start |
15476.00909375 |
transcript.pyannote[2900].end |
15482.23596875 |
transcript.pyannote[2901].speaker |
SPEAKER_28 |
transcript.pyannote[2901].start |
15480.51471875 |
transcript.pyannote[2901].end |
15481.27409375 |
transcript.pyannote[2902].speaker |
SPEAKER_28 |
transcript.pyannote[2902].start |
15482.23596875 |
transcript.pyannote[2902].end |
15493.10346875 |
transcript.pyannote[2903].speaker |
SPEAKER_28 |
transcript.pyannote[2903].start |
15494.48721875 |
transcript.pyannote[2903].end |
15494.92596875 |
transcript.pyannote[2904].speaker |
SPEAKER_28 |
transcript.pyannote[2904].start |
15495.34784375 |
transcript.pyannote[2904].end |
15496.59659375 |
transcript.pyannote[2905].speaker |
SPEAKER_28 |
transcript.pyannote[2905].start |
15497.55846875 |
transcript.pyannote[2905].end |
15504.88221875 |
transcript.pyannote[2906].speaker |
SPEAKER_05 |
transcript.pyannote[2906].start |
15504.00471875 |
transcript.pyannote[2906].end |
15506.46846875 |
transcript.pyannote[2907].speaker |
SPEAKER_28 |
transcript.pyannote[2907].start |
15506.19846875 |
transcript.pyannote[2907].end |
15509.13471875 |
transcript.pyannote[2908].speaker |
SPEAKER_28 |
transcript.pyannote[2908].start |
15509.42159375 |
transcript.pyannote[2908].end |
15518.07846875 |
transcript.pyannote[2909].speaker |
SPEAKER_37 |
transcript.pyannote[2909].start |
15518.07846875 |
transcript.pyannote[2909].end |
15518.17971875 |
transcript.pyannote[2910].speaker |
SPEAKER_28 |
transcript.pyannote[2910].start |
15518.17971875 |
transcript.pyannote[2910].end |
15535.49346875 |
transcript.pyannote[2911].speaker |
SPEAKER_37 |
transcript.pyannote[2911].start |
15518.19659375 |
transcript.pyannote[2911].end |
15518.46659375 |
transcript.pyannote[2912].speaker |
SPEAKER_28 |
transcript.pyannote[2912].start |
15535.98284375 |
transcript.pyannote[2912].end |
15536.87721875 |
transcript.pyannote[2913].speaker |
SPEAKER_28 |
transcript.pyannote[2913].start |
15537.19784375 |
transcript.pyannote[2913].end |
15537.73784375 |
transcript.pyannote[2914].speaker |
SPEAKER_28 |
transcript.pyannote[2914].start |
15537.97409375 |
transcript.pyannote[2914].end |
15538.75034375 |
transcript.pyannote[2915].speaker |
SPEAKER_05 |
transcript.pyannote[2915].start |
15540.75846875 |
transcript.pyannote[2915].end |
15547.91346875 |
transcript.pyannote[2916].speaker |
SPEAKER_05 |
transcript.pyannote[2916].start |
15548.14971875 |
transcript.pyannote[2916].end |
15549.93846875 |
transcript.pyannote[2917].speaker |
SPEAKER_05 |
transcript.pyannote[2917].start |
15549.98909375 |
transcript.pyannote[2917].end |
15574.22159375 |
transcript.pyannote[2918].speaker |
SPEAKER_03 |
transcript.pyannote[2918].start |
15560.45159375 |
transcript.pyannote[2918].end |
15560.90721875 |
transcript.pyannote[2919].speaker |
SPEAKER_05 |
transcript.pyannote[2919].start |
15574.47471875 |
transcript.pyannote[2919].end |
15578.54159375 |
transcript.pyannote[2920].speaker |
SPEAKER_05 |
transcript.pyannote[2920].start |
15578.81159375 |
transcript.pyannote[2920].end |
15587.02971875 |
transcript.pyannote[2921].speaker |
SPEAKER_28 |
transcript.pyannote[2921].start |
15587.02971875 |
transcript.pyannote[2921].end |
15602.84159375 |
transcript.pyannote[2922].speaker |
SPEAKER_05 |
transcript.pyannote[2922].start |
15589.35846875 |
transcript.pyannote[2922].end |
15590.96159375 |
transcript.pyannote[2923].speaker |
SPEAKER_03 |
transcript.pyannote[2923].start |
15590.96159375 |
transcript.pyannote[2923].end |
15591.07971875 |
transcript.pyannote[2924].speaker |
SPEAKER_05 |
transcript.pyannote[2924].start |
15591.07971875 |
transcript.pyannote[2924].end |
15591.09659375 |
transcript.pyannote[2925].speaker |
SPEAKER_03 |
transcript.pyannote[2925].start |
15591.09659375 |
transcript.pyannote[2925].end |
15591.11346875 |
transcript.pyannote[2926].speaker |
SPEAKER_04 |
transcript.pyannote[2926].start |
15602.84159375 |
transcript.pyannote[2926].end |
15603.04409375 |
transcript.pyannote[2927].speaker |
SPEAKER_28 |
transcript.pyannote[2927].start |
15603.04409375 |
transcript.pyannote[2927].end |
15614.38409375 |
transcript.pyannote[2928].speaker |
SPEAKER_05 |
transcript.pyannote[2928].start |
15613.48971875 |
transcript.pyannote[2928].end |
15613.96221875 |
transcript.pyannote[2929].speaker |
SPEAKER_28 |
transcript.pyannote[2929].start |
15614.41784375 |
transcript.pyannote[2929].end |
15614.45159375 |
transcript.pyannote[2930].speaker |
SPEAKER_05 |
transcript.pyannote[2930].start |
15614.45159375 |
transcript.pyannote[2930].end |
15619.51409375 |
transcript.pyannote[2931].speaker |
SPEAKER_28 |
transcript.pyannote[2931].start |
15619.10909375 |
transcript.pyannote[2931].end |
15628.76159375 |
transcript.pyannote[2932].speaker |
SPEAKER_05 |
transcript.pyannote[2932].start |
15628.93034375 |
transcript.pyannote[2932].end |
15633.13221875 |
transcript.pyannote[2933].speaker |
SPEAKER_28 |
transcript.pyannote[2933].start |
15633.13221875 |
transcript.pyannote[2933].end |
15633.14909375 |
transcript.pyannote[2934].speaker |
SPEAKER_05 |
transcript.pyannote[2934].start |
15633.14909375 |
transcript.pyannote[2934].end |
15646.07534375 |
transcript.pyannote[2935].speaker |
SPEAKER_28 |
transcript.pyannote[2935].start |
15644.32034375 |
transcript.pyannote[2935].end |
15644.45534375 |
transcript.pyannote[2936].speaker |
SPEAKER_04 |
transcript.pyannote[2936].start |
15645.09659375 |
transcript.pyannote[2936].end |
15645.14721875 |
transcript.pyannote[2937].speaker |
SPEAKER_28 |
transcript.pyannote[2937].start |
15645.14721875 |
transcript.pyannote[2937].end |
15645.99096875 |
transcript.pyannote[2938].speaker |
SPEAKER_28 |
transcript.pyannote[2938].start |
15646.07534375 |
transcript.pyannote[2938].end |
15646.10909375 |
transcript.pyannote[2939].speaker |
SPEAKER_04 |
transcript.pyannote[2939].start |
15646.42971875 |
transcript.pyannote[2939].end |
15646.46346875 |
transcript.pyannote[2940].speaker |
SPEAKER_05 |
transcript.pyannote[2940].start |
15646.46346875 |
transcript.pyannote[2940].end |
15648.43784375 |
transcript.pyannote[2941].speaker |
SPEAKER_04 |
transcript.pyannote[2941].start |
15646.49721875 |
transcript.pyannote[2941].end |
15646.53096875 |
transcript.pyannote[2942].speaker |
SPEAKER_28 |
transcript.pyannote[2942].start |
15646.53096875 |
transcript.pyannote[2942].end |
15647.45909375 |
transcript.pyannote[2943].speaker |
SPEAKER_04 |
transcript.pyannote[2943].start |
15647.45909375 |
transcript.pyannote[2943].end |
15647.64471875 |
transcript.pyannote[2944].speaker |
SPEAKER_04 |
transcript.pyannote[2944].start |
15647.88096875 |
transcript.pyannote[2944].end |
15648.01596875 |
transcript.pyannote[2945].speaker |
SPEAKER_28 |
transcript.pyannote[2945].start |
15648.01596875 |
transcript.pyannote[2945].end |
15650.61471875 |
transcript.pyannote[2946].speaker |
SPEAKER_04 |
transcript.pyannote[2946].start |
15648.43784375 |
transcript.pyannote[2946].end |
15648.47159375 |
transcript.pyannote[2947].speaker |
SPEAKER_05 |
transcript.pyannote[2947].start |
15650.44596875 |
transcript.pyannote[2947].end |
15651.62721875 |
transcript.pyannote[2948].speaker |
SPEAKER_04 |
transcript.pyannote[2948].start |
15651.59346875 |
transcript.pyannote[2948].end |
15651.61034375 |
transcript.pyannote[2949].speaker |
SPEAKER_28 |
transcript.pyannote[2949].start |
15651.61034375 |
transcript.pyannote[2949].end |
15653.93909375 |
transcript.pyannote[2950].speaker |
SPEAKER_05 |
transcript.pyannote[2950].start |
15653.48346875 |
transcript.pyannote[2950].end |
15654.47909375 |
transcript.pyannote[2951].speaker |
SPEAKER_28 |
transcript.pyannote[2951].start |
15654.27659375 |
transcript.pyannote[2951].end |
15664.67159375 |
transcript.pyannote[2952].speaker |
SPEAKER_05 |
transcript.pyannote[2952].start |
15660.67221875 |
transcript.pyannote[2952].end |
15660.72284375 |
transcript.pyannote[2953].speaker |
SPEAKER_05 |
transcript.pyannote[2953].start |
15664.43534375 |
transcript.pyannote[2953].end |
15666.94971875 |
transcript.pyannote[2954].speaker |
SPEAKER_28 |
transcript.pyannote[2954].start |
15666.20721875 |
transcript.pyannote[2954].end |
15680.60159375 |
transcript.pyannote[2955].speaker |
SPEAKER_05 |
transcript.pyannote[2955].start |
15667.60784375 |
transcript.pyannote[2955].end |
15668.72159375 |
transcript.pyannote[2956].speaker |
SPEAKER_05 |
transcript.pyannote[2956].start |
15670.32471875 |
transcript.pyannote[2956].end |
15670.86471875 |
transcript.pyannote[2957].speaker |
SPEAKER_28 |
transcript.pyannote[2957].start |
15680.85471875 |
transcript.pyannote[2957].end |
15683.33534375 |
transcript.pyannote[2958].speaker |
SPEAKER_05 |
transcript.pyannote[2958].start |
15683.87534375 |
transcript.pyannote[2958].end |
15702.62346875 |
transcript.pyannote[2959].speaker |
SPEAKER_04 |
transcript.pyannote[2959].start |
15689.59596875 |
transcript.pyannote[2959].end |
15689.61284375 |
transcript.pyannote[2960].speaker |
SPEAKER_04 |
transcript.pyannote[2960].start |
15689.62971875 |
transcript.pyannote[2960].end |
15689.71409375 |
transcript.pyannote[2961].speaker |
SPEAKER_28 |
transcript.pyannote[2961].start |
15701.69534375 |
transcript.pyannote[2961].end |
15705.93096875 |
transcript.pyannote[2962].speaker |
SPEAKER_28 |
transcript.pyannote[2962].start |
15707.06159375 |
transcript.pyannote[2962].end |
15715.16159375 |
transcript.pyannote[2963].speaker |
SPEAKER_28 |
transcript.pyannote[2963].start |
15716.25846875 |
transcript.pyannote[2963].end |
15721.77659375 |
transcript.pyannote[2964].speaker |
SPEAKER_28 |
transcript.pyannote[2964].start |
15721.96221875 |
transcript.pyannote[2964].end |
15733.53846875 |
transcript.pyannote[2965].speaker |
SPEAKER_05 |
transcript.pyannote[2965].start |
15733.62284375 |
transcript.pyannote[2965].end |
15757.63596875 |
transcript.pyannote[2966].speaker |
SPEAKER_00 |
transcript.pyannote[2966].start |
15747.37596875 |
transcript.pyannote[2966].end |
15747.44346875 |
transcript.pyannote[2967].speaker |
SPEAKER_08 |
transcript.pyannote[2967].start |
15747.44346875 |
transcript.pyannote[2967].end |
15747.71346875 |
transcript.pyannote[2968].speaker |
SPEAKER_00 |
transcript.pyannote[2968].start |
15747.71346875 |
transcript.pyannote[2968].end |
15747.79784375 |
transcript.pyannote[2969].speaker |
SPEAKER_28 |
transcript.pyannote[2969].start |
15757.63596875 |
transcript.pyannote[2969].end |
15795.90846875 |
transcript.pyannote[2970].speaker |
SPEAKER_00 |
transcript.pyannote[2970].start |
15776.65409375 |
transcript.pyannote[2970].end |
15776.90721875 |
transcript.pyannote[2971].speaker |
SPEAKER_00 |
transcript.pyannote[2971].start |
15778.03784375 |
transcript.pyannote[2971].end |
15778.29096875 |
transcript.pyannote[2972].speaker |
SPEAKER_28 |
transcript.pyannote[2972].start |
15796.38096875 |
transcript.pyannote[2972].end |
15812.39534375 |
transcript.pyannote[2973].speaker |
SPEAKER_05 |
transcript.pyannote[2973].start |
15812.91846875 |
transcript.pyannote[2973].end |
15814.08284375 |
transcript.pyannote[2974].speaker |
SPEAKER_28 |
transcript.pyannote[2974].start |
15812.96909375 |
transcript.pyannote[2974].end |
15813.28971875 |
transcript.pyannote[2975].speaker |
SPEAKER_28 |
transcript.pyannote[2975].start |
15814.82534375 |
transcript.pyannote[2975].end |
15815.09534375 |
transcript.pyannote[2976].speaker |
SPEAKER_28 |
transcript.pyannote[2976].start |
15815.83784375 |
transcript.pyannote[2976].end |
15827.59971875 |
transcript.pyannote[2977].speaker |
SPEAKER_20 |
transcript.pyannote[2977].start |
15825.62534375 |
transcript.pyannote[2977].end |
15827.38034375 |
transcript.pyannote[2978].speaker |
SPEAKER_20 |
transcript.pyannote[2978].start |
15827.59971875 |
transcript.pyannote[2978].end |
15829.96221875 |
transcript.pyannote[2979].speaker |
SPEAKER_20 |
transcript.pyannote[2979].start |
15831.86909375 |
transcript.pyannote[2979].end |
15833.75909375 |
transcript.pyannote[2980].speaker |
SPEAKER_42 |
transcript.pyannote[2980].start |
15846.19596875 |
transcript.pyannote[2980].end |
15848.57534375 |
transcript.pyannote[2981].speaker |
SPEAKER_42 |
transcript.pyannote[2981].start |
15852.94596875 |
transcript.pyannote[2981].end |
15854.78534375 |
transcript.pyannote[2982].speaker |
SPEAKER_42 |
transcript.pyannote[2982].start |
15854.92034375 |
transcript.pyannote[2982].end |
15858.14346875 |
transcript.pyannote[2983].speaker |
SPEAKER_42 |
transcript.pyannote[2983].start |
15858.37971875 |
transcript.pyannote[2983].end |
15866.64846875 |
transcript.pyannote[2984].speaker |
SPEAKER_42 |
transcript.pyannote[2984].start |
15866.93534375 |
transcript.pyannote[2984].end |
15872.53784375 |
transcript.pyannote[2985].speaker |
SPEAKER_42 |
transcript.pyannote[2985].start |
15872.65596875 |
transcript.pyannote[2985].end |
15890.61096875 |
transcript.pyannote[2986].speaker |
SPEAKER_42 |
transcript.pyannote[2986].start |
15891.18471875 |
transcript.pyannote[2986].end |
15955.41096875 |
transcript.pyannote[2987].speaker |
SPEAKER_42 |
transcript.pyannote[2987].start |
15955.95096875 |
transcript.pyannote[2987].end |
15958.09409375 |
transcript.pyannote[2988].speaker |
SPEAKER_42 |
transcript.pyannote[2988].start |
15958.16159375 |
transcript.pyannote[2988].end |
15965.01284375 |
transcript.pyannote[2989].speaker |
SPEAKER_42 |
transcript.pyannote[2989].start |
15965.67096875 |
transcript.pyannote[2989].end |
15968.69159375 |
transcript.pyannote[2990].speaker |
SPEAKER_42 |
transcript.pyannote[2990].start |
15969.14721875 |
transcript.pyannote[2990].end |
15973.99034375 |
transcript.pyannote[2991].speaker |
SPEAKER_42 |
transcript.pyannote[2991].start |
15974.63159375 |
transcript.pyannote[2991].end |
15992.38409375 |
transcript.pyannote[2992].speaker |
SPEAKER_42 |
transcript.pyannote[2992].start |
15992.62034375 |
transcript.pyannote[2992].end |
15997.02471875 |
transcript.pyannote[2993].speaker |
SPEAKER_42 |
transcript.pyannote[2993].start |
15997.54784375 |
transcript.pyannote[2993].end |
16051.04159375 |
transcript.pyannote[2994].speaker |
SPEAKER_42 |
transcript.pyannote[2994].start |
16052.03721875 |
transcript.pyannote[2994].end |
16054.04534375 |
transcript.pyannote[2995].speaker |
SPEAKER_42 |
transcript.pyannote[2995].start |
16054.72034375 |
transcript.pyannote[2995].end |
16075.89846875 |
transcript.pyannote[2996].speaker |
SPEAKER_42 |
transcript.pyannote[2996].start |
16076.35409375 |
transcript.pyannote[2996].end |
16077.40034375 |
transcript.pyannote[2997].speaker |
SPEAKER_42 |
transcript.pyannote[2997].start |
16078.61534375 |
transcript.pyannote[2997].end |
16119.73971875 |
transcript.pyannote[2998].speaker |
SPEAKER_05 |
transcript.pyannote[2998].start |
16119.73971875 |
transcript.pyannote[2998].end |
16131.61971875 |
transcript.pyannote[2999].speaker |
SPEAKER_42 |
transcript.pyannote[2999].start |
16125.57846875 |
transcript.pyannote[2999].end |
16126.10159375 |
transcript.pyannote[3000].speaker |
SPEAKER_04 |
transcript.pyannote[3000].start |
16129.91534375 |
transcript.pyannote[3000].end |
16130.20221875 |
transcript.pyannote[3001].speaker |
SPEAKER_05 |
transcript.pyannote[3001].start |
16131.73784375 |
transcript.pyannote[3001].end |
16133.47596875 |
transcript.pyannote[3002].speaker |
SPEAKER_04 |
transcript.pyannote[3002].start |
16133.47596875 |
transcript.pyannote[3002].end |
16133.64471875 |
transcript.pyannote[3003].speaker |
SPEAKER_05 |
transcript.pyannote[3003].start |
16133.64471875 |
transcript.pyannote[3003].end |
16142.43659375 |
transcript.pyannote[3004].speaker |
SPEAKER_04 |
transcript.pyannote[3004].start |
16133.66159375 |
transcript.pyannote[3004].end |
16133.74596875 |
transcript.pyannote[3005].speaker |
SPEAKER_42 |
transcript.pyannote[3005].start |
16142.03159375 |
transcript.pyannote[3005].end |
16144.32659375 |
transcript.pyannote[3006].speaker |
SPEAKER_20 |
transcript.pyannote[3006].start |
16146.26721875 |
transcript.pyannote[3006].end |
16148.76471875 |
transcript.pyannote[3007].speaker |
SPEAKER_20 |
transcript.pyannote[3007].start |
16149.08534375 |
transcript.pyannote[3007].end |
16151.61659375 |
transcript.pyannote[3008].speaker |
SPEAKER_20 |
transcript.pyannote[3008].start |
16158.19784375 |
transcript.pyannote[3008].end |
16160.42534375 |
transcript.pyannote[3009].speaker |
SPEAKER_03 |
transcript.pyannote[3009].start |
16166.68596875 |
transcript.pyannote[3009].end |
16167.14159375 |
transcript.pyannote[3010].speaker |
SPEAKER_27 |
transcript.pyannote[3010].start |
16168.06971875 |
transcript.pyannote[3010].end |
16177.33409375 |
transcript.pyannote[3011].speaker |
SPEAKER_05 |
transcript.pyannote[3011].start |
16178.38034375 |
transcript.pyannote[3011].end |
16179.00471875 |
transcript.pyannote[3012].speaker |
SPEAKER_05 |
transcript.pyannote[3012].start |
16179.71346875 |
transcript.pyannote[3012].end |
16183.61159375 |
transcript.pyannote[3013].speaker |
SPEAKER_27 |
transcript.pyannote[3013].start |
16183.02096875 |
transcript.pyannote[3013].end |
16185.60284375 |
transcript.pyannote[3014].speaker |
SPEAKER_05 |
transcript.pyannote[3014].start |
16185.72096875 |
transcript.pyannote[3014].end |
16185.73784375 |
transcript.pyannote[3015].speaker |
SPEAKER_02 |
transcript.pyannote[3015].start |
16185.73784375 |
transcript.pyannote[3015].end |
16188.23534375 |
transcript.pyannote[3016].speaker |
SPEAKER_27 |
transcript.pyannote[3016].start |
16187.50971875 |
transcript.pyannote[3016].end |
16189.12971875 |
transcript.pyannote[3017].speaker |
SPEAKER_02 |
transcript.pyannote[3017].start |
16189.58534375 |
transcript.pyannote[3017].end |
16191.23909375 |
transcript.pyannote[3018].speaker |
SPEAKER_27 |
transcript.pyannote[3018].start |
16190.12534375 |
transcript.pyannote[3018].end |
16191.98159375 |
transcript.pyannote[3019].speaker |
SPEAKER_02 |
transcript.pyannote[3019].start |
16194.41159375 |
transcript.pyannote[3019].end |
16195.62659375 |
transcript.pyannote[3020].speaker |
SPEAKER_27 |
transcript.pyannote[3020].start |
16195.62659375 |
transcript.pyannote[3020].end |
16207.08471875 |
transcript.pyannote[3021].speaker |
SPEAKER_02 |
transcript.pyannote[3021].start |
16195.64346875 |
transcript.pyannote[3021].end |
16195.72784375 |
transcript.pyannote[3022].speaker |
SPEAKER_02 |
transcript.pyannote[3022].start |
16195.99784375 |
transcript.pyannote[3022].end |
16196.04846875 |
transcript.pyannote[3023].speaker |
SPEAKER_02 |
transcript.pyannote[3023].start |
16196.06534375 |
transcript.pyannote[3023].end |
16197.44909375 |
transcript.pyannote[3024].speaker |
SPEAKER_02 |
transcript.pyannote[3024].start |
16207.97909375 |
transcript.pyannote[3024].end |
16208.85659375 |
transcript.pyannote[3025].speaker |
SPEAKER_02 |
transcript.pyannote[3025].start |
16210.03784375 |
transcript.pyannote[3025].end |
16216.48409375 |
transcript.pyannote[3026].speaker |
SPEAKER_27 |
transcript.pyannote[3026].start |
16216.93971875 |
transcript.pyannote[3026].end |
16235.46846875 |
transcript.pyannote[3027].speaker |
SPEAKER_02 |
transcript.pyannote[3027].start |
16229.02221875 |
transcript.pyannote[3027].end |
16231.01346875 |
transcript.pyannote[3028].speaker |
SPEAKER_02 |
transcript.pyannote[3028].start |
16235.80596875 |
transcript.pyannote[3028].end |
16237.20659375 |
transcript.pyannote[3029].speaker |
SPEAKER_27 |
transcript.pyannote[3029].start |
16236.66659375 |
transcript.pyannote[3029].end |
16237.32471875 |
transcript.pyannote[3030].speaker |
SPEAKER_02 |
transcript.pyannote[3030].start |
16237.32471875 |
transcript.pyannote[3030].end |
16237.35846875 |
transcript.pyannote[3031].speaker |
SPEAKER_27 |
transcript.pyannote[3031].start |
16237.35846875 |
transcript.pyannote[3031].end |
16237.39221875 |
transcript.pyannote[3032].speaker |
SPEAKER_02 |
transcript.pyannote[3032].start |
16237.39221875 |
transcript.pyannote[3032].end |
16237.81409375 |
transcript.pyannote[3033].speaker |
SPEAKER_27 |
transcript.pyannote[3033].start |
16237.64534375 |
transcript.pyannote[3033].end |
16237.67909375 |
transcript.pyannote[3034].speaker |
SPEAKER_27 |
transcript.pyannote[3034].start |
16237.81409375 |
transcript.pyannote[3034].end |
16239.07971875 |
transcript.pyannote[3035].speaker |
SPEAKER_27 |
transcript.pyannote[3035].start |
16241.57721875 |
transcript.pyannote[3035].end |
16242.40409375 |
transcript.pyannote[3036].speaker |
SPEAKER_27 |
transcript.pyannote[3036].start |
16243.38284375 |
transcript.pyannote[3036].end |
16245.13784375 |
transcript.pyannote[3037].speaker |
SPEAKER_27 |
transcript.pyannote[3037].start |
16247.19659375 |
transcript.pyannote[3037].end |
16255.36409375 |
transcript.pyannote[3038].speaker |
SPEAKER_05 |
transcript.pyannote[3038].start |
16251.02721875 |
transcript.pyannote[3038].end |
16251.07784375 |
transcript.pyannote[3039].speaker |
SPEAKER_05 |
transcript.pyannote[3039].start |
16254.82409375 |
transcript.pyannote[3039].end |
16255.29659375 |
transcript.pyannote[3040].speaker |
SPEAKER_05 |
transcript.pyannote[3040].start |
16255.76909375 |
transcript.pyannote[3040].end |
16257.79409375 |
transcript.pyannote[3041].speaker |
SPEAKER_27 |
transcript.pyannote[3041].start |
16257.42284375 |
transcript.pyannote[3041].end |
16265.25284375 |
transcript.pyannote[3042].speaker |
SPEAKER_38 |
transcript.pyannote[3042].start |
16265.25284375 |
transcript.pyannote[3042].end |
16265.45534375 |
transcript.pyannote[3043].speaker |
SPEAKER_27 |
transcript.pyannote[3043].start |
16265.45534375 |
transcript.pyannote[3043].end |
16276.33971875 |
transcript.pyannote[3044].speaker |
SPEAKER_27 |
transcript.pyannote[3044].start |
16276.45784375 |
transcript.pyannote[3044].end |
16276.49159375 |
transcript.pyannote[3045].speaker |
SPEAKER_05 |
transcript.pyannote[3045].start |
16276.49159375 |
transcript.pyannote[3045].end |
16277.41971875 |
transcript.pyannote[3046].speaker |
SPEAKER_27 |
transcript.pyannote[3046].start |
16276.72784375 |
transcript.pyannote[3046].end |
16278.92159375 |
transcript.pyannote[3047].speaker |
SPEAKER_05 |
transcript.pyannote[3047].start |
16277.58846875 |
transcript.pyannote[3047].end |
16283.98409375 |
transcript.pyannote[3048].speaker |
SPEAKER_27 |
transcript.pyannote[3048].start |
16283.66346875 |
transcript.pyannote[3048].end |
16283.95034375 |
transcript.pyannote[3049].speaker |
SPEAKER_27 |
transcript.pyannote[3049].start |
16283.98409375 |
transcript.pyannote[3049].end |
16303.03596875 |
transcript.pyannote[3050].speaker |
SPEAKER_37 |
transcript.pyannote[3050].start |
16293.23159375 |
transcript.pyannote[3050].end |
16293.56909375 |
transcript.pyannote[3051].speaker |
SPEAKER_00 |
transcript.pyannote[3051].start |
16293.56909375 |
transcript.pyannote[3051].end |
16293.60284375 |
transcript.pyannote[3052].speaker |
SPEAKER_05 |
transcript.pyannote[3052].start |
16303.28909375 |
transcript.pyannote[3052].end |
16305.93846875 |
transcript.pyannote[3053].speaker |
SPEAKER_27 |
transcript.pyannote[3053].start |
16305.34784375 |
transcript.pyannote[3053].end |
16310.86596875 |
transcript.pyannote[3054].speaker |
SPEAKER_05 |
transcript.pyannote[3054].start |
16307.28846875 |
transcript.pyannote[3054].end |
16308.11534375 |
transcript.pyannote[3055].speaker |
SPEAKER_05 |
transcript.pyannote[3055].start |
16311.16971875 |
transcript.pyannote[3055].end |
16313.92034375 |
transcript.pyannote[3056].speaker |
SPEAKER_27 |
transcript.pyannote[3056].start |
16311.81096875 |
transcript.pyannote[3056].end |
16313.85284375 |
transcript.pyannote[3057].speaker |
SPEAKER_27 |
transcript.pyannote[3057].start |
16313.98784375 |
transcript.pyannote[3057].end |
16320.23159375 |
transcript.pyannote[3058].speaker |
SPEAKER_27 |
transcript.pyannote[3058].start |
16320.50159375 |
transcript.pyannote[3058].end |
16329.37784375 |
transcript.pyannote[3059].speaker |
SPEAKER_27 |
transcript.pyannote[3059].start |
16329.74909375 |
transcript.pyannote[3059].end |
16331.75721875 |
transcript.pyannote[3060].speaker |
SPEAKER_27 |
transcript.pyannote[3060].start |
16332.02721875 |
transcript.pyannote[3060].end |
16334.71034375 |
transcript.pyannote[3061].speaker |
SPEAKER_05 |
transcript.pyannote[3061].start |
16334.98034375 |
transcript.pyannote[3061].end |
16340.97096875 |
transcript.pyannote[3062].speaker |
SPEAKER_27 |
transcript.pyannote[3062].start |
16340.97096875 |
transcript.pyannote[3062].end |
16366.30034375 |
transcript.pyannote[3063].speaker |
SPEAKER_38 |
transcript.pyannote[3063].start |
16344.46409375 |
transcript.pyannote[3063].end |
16344.93659375 |
transcript.pyannote[3064].speaker |
SPEAKER_37 |
transcript.pyannote[3064].start |
16350.67409375 |
transcript.pyannote[3064].end |
16351.77096875 |
transcript.pyannote[3065].speaker |
SPEAKER_38 |
transcript.pyannote[3065].start |
16357.22159375 |
transcript.pyannote[3065].end |
16357.32284375 |
transcript.pyannote[3066].speaker |
SPEAKER_05 |
transcript.pyannote[3066].start |
16357.32284375 |
transcript.pyannote[3066].end |
16358.20034375 |
transcript.pyannote[3067].speaker |
SPEAKER_05 |
transcript.pyannote[3067].start |
16366.30034375 |
transcript.pyannote[3067].end |
16374.24846875 |
transcript.pyannote[3068].speaker |
SPEAKER_27 |
transcript.pyannote[3068].start |
16373.69159375 |
transcript.pyannote[3068].end |
16392.22034375 |
transcript.pyannote[3069].speaker |
SPEAKER_05 |
transcript.pyannote[3069].start |
16375.12596875 |
transcript.pyannote[3069].end |
16377.84284375 |
transcript.pyannote[3070].speaker |
SPEAKER_05 |
transcript.pyannote[3070].start |
16378.65284375 |
transcript.pyannote[3070].end |
16379.58096875 |
transcript.pyannote[3071].speaker |
SPEAKER_05 |
transcript.pyannote[3071].start |
16392.06846875 |
transcript.pyannote[3071].end |
16392.65909375 |
transcript.pyannote[3072].speaker |
SPEAKER_27 |
transcript.pyannote[3072].start |
16392.65909375 |
transcript.pyannote[3072].end |
16413.82034375 |
transcript.pyannote[3073].speaker |
SPEAKER_05 |
transcript.pyannote[3073].start |
16406.46284375 |
transcript.pyannote[3073].end |
16406.53034375 |
transcript.pyannote[3074].speaker |
SPEAKER_04 |
transcript.pyannote[3074].start |
16406.53034375 |
transcript.pyannote[3074].end |
16406.69909375 |
transcript.pyannote[3075].speaker |
SPEAKER_05 |
transcript.pyannote[3075].start |
16406.69909375 |
transcript.pyannote[3075].end |
16407.03659375 |
transcript.pyannote[3076].speaker |
SPEAKER_05 |
transcript.pyannote[3076].start |
16411.08659375 |
transcript.pyannote[3076].end |
16418.02221875 |
transcript.pyannote[3077].speaker |
SPEAKER_27 |
transcript.pyannote[3077].start |
16418.02221875 |
transcript.pyannote[3077].end |
16420.35096875 |
transcript.pyannote[3078].speaker |
SPEAKER_05 |
transcript.pyannote[3078].start |
16420.63784375 |
transcript.pyannote[3078].end |
16422.03846875 |
transcript.pyannote[3079].speaker |
SPEAKER_27 |
transcript.pyannote[3079].start |
16421.26221875 |
transcript.pyannote[3079].end |
16426.03784375 |
transcript.pyannote[3080].speaker |
SPEAKER_05 |
transcript.pyannote[3080].start |
16425.10971875 |
transcript.pyannote[3080].end |
16426.39221875 |
transcript.pyannote[3081].speaker |
SPEAKER_27 |
transcript.pyannote[3081].start |
16426.39221875 |
transcript.pyannote[3081].end |
16430.81346875 |
transcript.pyannote[3082].speaker |
SPEAKER_05 |
transcript.pyannote[3082].start |
16428.78846875 |
transcript.pyannote[3082].end |
16433.41221875 |
transcript.pyannote[3083].speaker |
SPEAKER_27 |
transcript.pyannote[3083].start |
16433.09159375 |
transcript.pyannote[3083].end |
16452.29534375 |
transcript.pyannote[3084].speaker |
SPEAKER_05 |
transcript.pyannote[3084].start |
16446.23721875 |
transcript.pyannote[3084].end |
16446.49034375 |
transcript.pyannote[3085].speaker |
SPEAKER_05 |
transcript.pyannote[3085].start |
16452.02534375 |
transcript.pyannote[3085].end |
16453.94909375 |
transcript.pyannote[3086].speaker |
SPEAKER_27 |
transcript.pyannote[3086].start |
16453.81409375 |
transcript.pyannote[3086].end |
16455.06284375 |
transcript.pyannote[3087].speaker |
SPEAKER_05 |
transcript.pyannote[3087].start |
16455.24846875 |
transcript.pyannote[3087].end |
16456.71659375 |
transcript.pyannote[3088].speaker |
SPEAKER_27 |
transcript.pyannote[3088].start |
16456.27784375 |
transcript.pyannote[3088].end |
16459.39971875 |
transcript.pyannote[3089].speaker |
SPEAKER_05 |
transcript.pyannote[3089].start |
16458.48846875 |
transcript.pyannote[3089].end |
16459.18034375 |
transcript.pyannote[3090].speaker |
SPEAKER_04 |
transcript.pyannote[3090].start |
16459.18034375 |
transcript.pyannote[3090].end |
16459.21409375 |
transcript.pyannote[3091].speaker |
SPEAKER_05 |
transcript.pyannote[3091].start |
16459.21409375 |
transcript.pyannote[3091].end |
16459.34909375 |
transcript.pyannote[3092].speaker |
SPEAKER_05 |
transcript.pyannote[3092].start |
16459.39971875 |
transcript.pyannote[3092].end |
16460.02409375 |
transcript.pyannote[3093].speaker |
SPEAKER_04 |
transcript.pyannote[3093].start |
16460.02409375 |
transcript.pyannote[3093].end |
16460.09159375 |
transcript.pyannote[3094].speaker |
SPEAKER_27 |
transcript.pyannote[3094].start |
16460.05784375 |
transcript.pyannote[3094].end |
16464.61409375 |
transcript.pyannote[3095].speaker |
SPEAKER_05 |
transcript.pyannote[3095].start |
16460.09159375 |
transcript.pyannote[3095].end |
16460.17596875 |
transcript.pyannote[3096].speaker |
SPEAKER_04 |
transcript.pyannote[3096].start |
16460.17596875 |
transcript.pyannote[3096].end |
16460.63159375 |
transcript.pyannote[3097].speaker |
SPEAKER_05 |
transcript.pyannote[3097].start |
16462.06596875 |
transcript.pyannote[3097].end |
16462.08284375 |
transcript.pyannote[3098].speaker |
SPEAKER_04 |
transcript.pyannote[3098].start |
16462.08284375 |
transcript.pyannote[3098].end |
16462.53846875 |
transcript.pyannote[3099].speaker |
SPEAKER_05 |
transcript.pyannote[3099].start |
16462.53846875 |
transcript.pyannote[3099].end |
16462.60596875 |
transcript.pyannote[3100].speaker |
SPEAKER_04 |
transcript.pyannote[3100].start |
16462.60596875 |
transcript.pyannote[3100].end |
16463.07846875 |
transcript.pyannote[3101].speaker |
SPEAKER_27 |
transcript.pyannote[3101].start |
16465.17096875 |
transcript.pyannote[3101].end |
16468.83284375 |
transcript.pyannote[3102].speaker |
SPEAKER_05 |
transcript.pyannote[3102].start |
16469.11971875 |
transcript.pyannote[3102].end |
16470.77346875 |
transcript.pyannote[3103].speaker |
SPEAKER_27 |
transcript.pyannote[3103].start |
16470.77346875 |
transcript.pyannote[3103].end |
16473.05159375 |
transcript.pyannote[3104].speaker |
SPEAKER_27 |
transcript.pyannote[3104].start |
16473.27096875 |
transcript.pyannote[3104].end |
16475.56596875 |
transcript.pyannote[3105].speaker |
SPEAKER_27 |
transcript.pyannote[3105].start |
16476.29159375 |
transcript.pyannote[3105].end |
16476.79784375 |
transcript.pyannote[3106].speaker |
SPEAKER_05 |
transcript.pyannote[3106].start |
16477.21971875 |
transcript.pyannote[3106].end |
16485.58971875 |
transcript.pyannote[3107].speaker |
SPEAKER_27 |
transcript.pyannote[3107].start |
16484.72909375 |
transcript.pyannote[3107].end |
16486.88909375 |
transcript.pyannote[3108].speaker |
SPEAKER_05 |
transcript.pyannote[3108].start |
16486.88909375 |
transcript.pyannote[3108].end |
16489.04909375 |
transcript.pyannote[3109].speaker |
SPEAKER_27 |
transcript.pyannote[3109].start |
16488.55971875 |
transcript.pyannote[3109].end |
16489.43721875 |
transcript.pyannote[3110].speaker |
SPEAKER_05 |
transcript.pyannote[3110].start |
16489.43721875 |
transcript.pyannote[3110].end |
16489.48784375 |
transcript.pyannote[3111].speaker |
SPEAKER_05 |
transcript.pyannote[3111].start |
16489.52159375 |
transcript.pyannote[3111].end |
16490.88846875 |
transcript.pyannote[3112].speaker |
SPEAKER_05 |
transcript.pyannote[3112].start |
16490.97284375 |
transcript.pyannote[3112].end |
16490.98971875 |
transcript.pyannote[3113].speaker |
SPEAKER_27 |
transcript.pyannote[3113].start |
16490.98971875 |
transcript.pyannote[3113].end |
16491.54659375 |
transcript.pyannote[3114].speaker |
SPEAKER_05 |
transcript.pyannote[3114].start |
16491.51284375 |
transcript.pyannote[3114].end |
16491.76596875 |
transcript.pyannote[3115].speaker |
SPEAKER_05 |
transcript.pyannote[3115].start |
16492.01909375 |
transcript.pyannote[3115].end |
16494.07784375 |
transcript.pyannote[3116].speaker |
SPEAKER_27 |
transcript.pyannote[3116].start |
16492.05284375 |
transcript.pyannote[3116].end |
16492.50846875 |
transcript.pyannote[3117].speaker |
SPEAKER_27 |
transcript.pyannote[3117].start |
16494.43221875 |
transcript.pyannote[3117].end |
16496.38971875 |
transcript.pyannote[3118].speaker |
SPEAKER_05 |
transcript.pyannote[3118].start |
16496.08596875 |
transcript.pyannote[3118].end |
16525.48221875 |
transcript.pyannote[3119].speaker |
SPEAKER_27 |
transcript.pyannote[3119].start |
16497.68909375 |
transcript.pyannote[3119].end |
16498.14471875 |
transcript.pyannote[3120].speaker |
SPEAKER_11 |
transcript.pyannote[3120].start |
16521.98909375 |
transcript.pyannote[3120].end |
16522.56284375 |
transcript.pyannote[3121].speaker |
SPEAKER_20 |
transcript.pyannote[3121].start |
16522.56284375 |
transcript.pyannote[3121].end |
16522.66409375 |
transcript.pyannote[3122].speaker |
SPEAKER_20 |
transcript.pyannote[3122].start |
16523.60909375 |
transcript.pyannote[3122].end |
16523.64284375 |
transcript.pyannote[3123].speaker |
SPEAKER_11 |
transcript.pyannote[3123].start |
16523.64284375 |
transcript.pyannote[3123].end |
16523.65971875 |
transcript.pyannote[3124].speaker |
SPEAKER_20 |
transcript.pyannote[3124].start |
16523.65971875 |
transcript.pyannote[3124].end |
16523.84534375 |
transcript.pyannote[3125].speaker |
SPEAKER_11 |
transcript.pyannote[3125].start |
16523.84534375 |
transcript.pyannote[3125].end |
16523.86221875 |
transcript.pyannote[3126].speaker |
SPEAKER_20 |
transcript.pyannote[3126].start |
16527.22034375 |
transcript.pyannote[3126].end |
16529.51534375 |
transcript.pyannote[3127].speaker |
SPEAKER_20 |
transcript.pyannote[3127].start |
16530.40971875 |
transcript.pyannote[3127].end |
16532.95784375 |
transcript.pyannote[3128].speaker |
SPEAKER_22 |
transcript.pyannote[3128].start |
16540.61909375 |
transcript.pyannote[3128].end |
16542.93096875 |
transcript.pyannote[3129].speaker |
SPEAKER_03 |
transcript.pyannote[3129].start |
16547.58846875 |
transcript.pyannote[3129].end |
16548.24659375 |
transcript.pyannote[3130].speaker |
SPEAKER_22 |
transcript.pyannote[3130].start |
16551.79034375 |
transcript.pyannote[3130].end |
16552.70159375 |
transcript.pyannote[3131].speaker |
SPEAKER_22 |
transcript.pyannote[3131].start |
16553.15721875 |
transcript.pyannote[3131].end |
16558.08471875 |
transcript.pyannote[3132].speaker |
SPEAKER_22 |
transcript.pyannote[3132].start |
16558.79346875 |
transcript.pyannote[3132].end |
16560.02534375 |
transcript.pyannote[3133].speaker |
SPEAKER_22 |
transcript.pyannote[3133].start |
16560.63284375 |
transcript.pyannote[3133].end |
16569.18846875 |
transcript.pyannote[3134].speaker |
SPEAKER_22 |
transcript.pyannote[3134].start |
16569.59346875 |
transcript.pyannote[3134].end |
16577.82846875 |
transcript.pyannote[3135].speaker |
SPEAKER_22 |
transcript.pyannote[3135].start |
16577.96346875 |
transcript.pyannote[3135].end |
16579.65096875 |
transcript.pyannote[3136].speaker |
SPEAKER_22 |
transcript.pyannote[3136].start |
16580.27534375 |
transcript.pyannote[3136].end |
16581.82784375 |
transcript.pyannote[3137].speaker |
SPEAKER_22 |
transcript.pyannote[3137].start |
16582.33409375 |
transcript.pyannote[3137].end |
16583.71784375 |
transcript.pyannote[3138].speaker |
SPEAKER_22 |
transcript.pyannote[3138].start |
16584.79784375 |
transcript.pyannote[3138].end |
16589.15159375 |
transcript.pyannote[3139].speaker |
SPEAKER_22 |
transcript.pyannote[3139].start |
16589.50596875 |
transcript.pyannote[3139].end |
16591.48034375 |
transcript.pyannote[3140].speaker |
SPEAKER_22 |
transcript.pyannote[3140].start |
16592.00346875 |
transcript.pyannote[3140].end |
16595.56409375 |
transcript.pyannote[3141].speaker |
SPEAKER_22 |
transcript.pyannote[3141].start |
16596.05346875 |
transcript.pyannote[3141].end |
16597.90971875 |
transcript.pyannote[3142].speaker |
SPEAKER_22 |
transcript.pyannote[3142].start |
16598.71971875 |
transcript.pyannote[3142].end |
16600.74471875 |
transcript.pyannote[3143].speaker |
SPEAKER_22 |
transcript.pyannote[3143].start |
16601.38596875 |
transcript.pyannote[3143].end |
16603.14096875 |
transcript.pyannote[3144].speaker |
SPEAKER_22 |
transcript.pyannote[3144].start |
16603.41096875 |
transcript.pyannote[3144].end |
16606.46534375 |
transcript.pyannote[3145].speaker |
SPEAKER_22 |
transcript.pyannote[3145].start |
16606.76909375 |
transcript.pyannote[3145].end |
16609.23284375 |
transcript.pyannote[3146].speaker |
SPEAKER_22 |
transcript.pyannote[3146].start |
16609.51971875 |
transcript.pyannote[3146].end |
16610.41409375 |
transcript.pyannote[3147].speaker |
SPEAKER_22 |
transcript.pyannote[3147].start |
16611.05534375 |
transcript.pyannote[3147].end |
16612.27034375 |
transcript.pyannote[3148].speaker |
SPEAKER_22 |
transcript.pyannote[3148].start |
16612.77659375 |
transcript.pyannote[3148].end |
16615.51034375 |
transcript.pyannote[3149].speaker |
SPEAKER_22 |
transcript.pyannote[3149].start |
16616.05034375 |
transcript.pyannote[3149].end |
16617.63659375 |
transcript.pyannote[3150].speaker |
SPEAKER_22 |
transcript.pyannote[3150].start |
16618.96971875 |
transcript.pyannote[3150].end |
16620.45471875 |
transcript.pyannote[3151].speaker |
SPEAKER_22 |
transcript.pyannote[3151].start |
16620.87659375 |
transcript.pyannote[3151].end |
16622.02409375 |
transcript.pyannote[3152].speaker |
SPEAKER_05 |
transcript.pyannote[3152].start |
16622.02409375 |
transcript.pyannote[3152].end |
16622.15909375 |
transcript.pyannote[3153].speaker |
SPEAKER_05 |
transcript.pyannote[3153].start |
16622.81721875 |
transcript.pyannote[3153].end |
16623.89721875 |
transcript.pyannote[3154].speaker |
SPEAKER_05 |
transcript.pyannote[3154].start |
16624.01534375 |
transcript.pyannote[3154].end |
16631.96346875 |
transcript.pyannote[3155].speaker |
SPEAKER_22 |
transcript.pyannote[3155].start |
16628.21721875 |
transcript.pyannote[3155].end |
16628.52096875 |
transcript.pyannote[3156].speaker |
SPEAKER_22 |
transcript.pyannote[3156].start |
16628.89221875 |
transcript.pyannote[3156].end |
16629.51659375 |
transcript.pyannote[3157].speaker |
SPEAKER_03 |
transcript.pyannote[3157].start |
16629.51659375 |
transcript.pyannote[3157].end |
16629.53346875 |
transcript.pyannote[3158].speaker |
SPEAKER_22 |
transcript.pyannote[3158].start |
16630.39409375 |
transcript.pyannote[3158].end |
16631.13659375 |
transcript.pyannote[3159].speaker |
SPEAKER_22 |
transcript.pyannote[3159].start |
16631.96346875 |
transcript.pyannote[3159].end |
16632.06471875 |
transcript.pyannote[3160].speaker |
SPEAKER_05 |
transcript.pyannote[3160].start |
16632.50346875 |
transcript.pyannote[3160].end |
16632.58784375 |
transcript.pyannote[3161].speaker |
SPEAKER_05 |
transcript.pyannote[3161].start |
16633.27971875 |
transcript.pyannote[3161].end |
16636.99221875 |
transcript.pyannote[3162].speaker |
SPEAKER_22 |
transcript.pyannote[3162].start |
16635.01784375 |
transcript.pyannote[3162].end |
16636.43534375 |
transcript.pyannote[3163].speaker |
SPEAKER_05 |
transcript.pyannote[3163].start |
16637.31284375 |
transcript.pyannote[3163].end |
16640.31659375 |
transcript.pyannote[3164].speaker |
SPEAKER_22 |
transcript.pyannote[3164].start |
16639.05096875 |
transcript.pyannote[3164].end |
16640.04659375 |
transcript.pyannote[3165].speaker |
SPEAKER_05 |
transcript.pyannote[3165].start |
16640.92409375 |
transcript.pyannote[3165].end |
16647.69096875 |
transcript.pyannote[3166].speaker |
SPEAKER_05 |
transcript.pyannote[3166].start |
16648.01159375 |
transcript.pyannote[3166].end |
16649.96909375 |
transcript.pyannote[3167].speaker |
SPEAKER_22 |
transcript.pyannote[3167].start |
16649.96909375 |
transcript.pyannote[3167].end |
16650.94784375 |
transcript.pyannote[3168].speaker |
SPEAKER_05 |
transcript.pyannote[3168].start |
16650.94784375 |
transcript.pyannote[3168].end |
16651.67346875 |
transcript.pyannote[3169].speaker |
SPEAKER_22 |
transcript.pyannote[3169].start |
16651.67346875 |
transcript.pyannote[3169].end |
16652.06159375 |
transcript.pyannote[3170].speaker |
SPEAKER_22 |
transcript.pyannote[3170].start |
16652.58471875 |
transcript.pyannote[3170].end |
16656.78659375 |
transcript.pyannote[3171].speaker |
SPEAKER_22 |
transcript.pyannote[3171].start |
16657.73159375 |
transcript.pyannote[3171].end |
16659.03096875 |
transcript.pyannote[3172].speaker |
SPEAKER_22 |
transcript.pyannote[3172].start |
16659.90846875 |
transcript.pyannote[3172].end |
16661.03909375 |
transcript.pyannote[3173].speaker |
SPEAKER_05 |
transcript.pyannote[3173].start |
16661.03909375 |
transcript.pyannote[3173].end |
16661.25846875 |
transcript.pyannote[3174].speaker |
SPEAKER_22 |
transcript.pyannote[3174].start |
16661.25846875 |
transcript.pyannote[3174].end |
16661.96721875 |
transcript.pyannote[3175].speaker |
SPEAKER_05 |
transcript.pyannote[3175].start |
16661.96721875 |
transcript.pyannote[3175].end |
16669.74659375 |
transcript.pyannote[3176].speaker |
SPEAKER_22 |
transcript.pyannote[3176].start |
16669.74659375 |
transcript.pyannote[3176].end |
16669.76346875 |
transcript.pyannote[3177].speaker |
SPEAKER_05 |
transcript.pyannote[3177].start |
16671.41721875 |
transcript.pyannote[3177].end |
16671.43409375 |
transcript.pyannote[3178].speaker |
SPEAKER_22 |
transcript.pyannote[3178].start |
16671.43409375 |
transcript.pyannote[3178].end |
16673.94846875 |
transcript.pyannote[3179].speaker |
SPEAKER_22 |
transcript.pyannote[3179].start |
16674.74159375 |
transcript.pyannote[3179].end |
16677.05346875 |
transcript.pyannote[3180].speaker |
SPEAKER_22 |
transcript.pyannote[3180].start |
16677.23909375 |
transcript.pyannote[3180].end |
16678.77471875 |
transcript.pyannote[3181].speaker |
SPEAKER_22 |
transcript.pyannote[3181].start |
16679.34846875 |
transcript.pyannote[3181].end |
16692.78096875 |
transcript.pyannote[3182].speaker |
SPEAKER_04 |
transcript.pyannote[3182].start |
16692.78096875 |
transcript.pyannote[3182].end |
16693.10159375 |
transcript.pyannote[3183].speaker |
SPEAKER_22 |
transcript.pyannote[3183].start |
16693.10159375 |
transcript.pyannote[3183].end |
16694.28284375 |
transcript.pyannote[3184].speaker |
SPEAKER_22 |
transcript.pyannote[3184].start |
16694.77221875 |
transcript.pyannote[3184].end |
16697.55659375 |
transcript.pyannote[3185].speaker |
SPEAKER_22 |
transcript.pyannote[3185].start |
16700.02034375 |
transcript.pyannote[3185].end |
16701.03284375 |
transcript.pyannote[3186].speaker |
SPEAKER_05 |
transcript.pyannote[3186].start |
16701.03284375 |
transcript.pyannote[3186].end |
16702.19721875 |
transcript.pyannote[3187].speaker |
SPEAKER_22 |
transcript.pyannote[3187].start |
16702.77096875 |
transcript.pyannote[3187].end |
16702.80471875 |
transcript.pyannote[3188].speaker |
SPEAKER_05 |
transcript.pyannote[3188].start |
16702.80471875 |
transcript.pyannote[3188].end |
16706.21346875 |
transcript.pyannote[3189].speaker |
SPEAKER_05 |
transcript.pyannote[3189].start |
16706.68596875 |
transcript.pyannote[3189].end |
16711.79909375 |
transcript.pyannote[3190].speaker |
SPEAKER_22 |
transcript.pyannote[3190].start |
16711.10721875 |
transcript.pyannote[3190].end |
16721.06346875 |
transcript.pyannote[3191].speaker |
SPEAKER_22 |
transcript.pyannote[3191].start |
16721.36721875 |
transcript.pyannote[3191].end |
16725.87284375 |
transcript.pyannote[3192].speaker |
SPEAKER_22 |
transcript.pyannote[3192].start |
16726.07534375 |
transcript.pyannote[3192].end |
16727.67846875 |
transcript.pyannote[3193].speaker |
SPEAKER_22 |
transcript.pyannote[3193].start |
16727.96534375 |
transcript.pyannote[3193].end |
16729.46721875 |
transcript.pyannote[3194].speaker |
SPEAKER_22 |
transcript.pyannote[3194].start |
16729.82159375 |
transcript.pyannote[3194].end |
16731.35721875 |
transcript.pyannote[3195].speaker |
SPEAKER_22 |
transcript.pyannote[3195].start |
16732.03221875 |
transcript.pyannote[3195].end |
16734.25971875 |
transcript.pyannote[3196].speaker |
SPEAKER_22 |
transcript.pyannote[3196].start |
16734.73221875 |
transcript.pyannote[3196].end |
16737.07784375 |
transcript.pyannote[3197].speaker |
SPEAKER_22 |
transcript.pyannote[3197].start |
16737.39846875 |
transcript.pyannote[3197].end |
16742.03909375 |
transcript.pyannote[3198].speaker |
SPEAKER_05 |
transcript.pyannote[3198].start |
16742.03909375 |
transcript.pyannote[3198].end |
16753.14284375 |
transcript.pyannote[3199].speaker |
SPEAKER_22 |
transcript.pyannote[3199].start |
16751.74221875 |
transcript.pyannote[3199].end |
16751.77596875 |
transcript.pyannote[3200].speaker |
SPEAKER_04 |
transcript.pyannote[3200].start |
16751.77596875 |
transcript.pyannote[3200].end |
16752.14721875 |
transcript.pyannote[3201].speaker |
SPEAKER_22 |
transcript.pyannote[3201].start |
16752.14721875 |
transcript.pyannote[3201].end |
16752.40034375 |
transcript.pyannote[3202].speaker |
SPEAKER_22 |
transcript.pyannote[3202].start |
16752.56909375 |
transcript.pyannote[3202].end |
16752.70409375 |
transcript.pyannote[3203].speaker |
SPEAKER_04 |
transcript.pyannote[3203].start |
16752.70409375 |
transcript.pyannote[3203].end |
16752.87284375 |
transcript.pyannote[3204].speaker |
SPEAKER_05 |
transcript.pyannote[3204].start |
16753.37909375 |
transcript.pyannote[3204].end |
16753.96971875 |
transcript.pyannote[3205].speaker |
SPEAKER_22 |
transcript.pyannote[3205].start |
16753.96971875 |
transcript.pyannote[3205].end |
16754.15534375 |
transcript.pyannote[3206].speaker |
SPEAKER_05 |
transcript.pyannote[3206].start |
16754.15534375 |
transcript.pyannote[3206].end |
16754.18909375 |
transcript.pyannote[3207].speaker |
SPEAKER_22 |
transcript.pyannote[3207].start |
16754.18909375 |
transcript.pyannote[3207].end |
16754.76284375 |
transcript.pyannote[3208].speaker |
SPEAKER_05 |
transcript.pyannote[3208].start |
16754.76284375 |
transcript.pyannote[3208].end |
16754.96534375 |
transcript.pyannote[3209].speaker |
SPEAKER_22 |
transcript.pyannote[3209].start |
16754.96534375 |
transcript.pyannote[3209].end |
16755.15096875 |
transcript.pyannote[3210].speaker |
SPEAKER_04 |
transcript.pyannote[3210].start |
16755.50534375 |
transcript.pyannote[3210].end |
16755.91034375 |
transcript.pyannote[3211].speaker |
SPEAKER_22 |
transcript.pyannote[3211].start |
16755.89346875 |
transcript.pyannote[3211].end |
16758.77909375 |
transcript.pyannote[3212].speaker |
SPEAKER_22 |
transcript.pyannote[3212].start |
16759.01534375 |
transcript.pyannote[3212].end |
16761.04034375 |
transcript.pyannote[3213].speaker |
SPEAKER_22 |
transcript.pyannote[3213].start |
16761.27659375 |
transcript.pyannote[3213].end |
16765.46159375 |
transcript.pyannote[3214].speaker |
SPEAKER_22 |
transcript.pyannote[3214].start |
16765.76534375 |
transcript.pyannote[3214].end |
16767.85784375 |
transcript.pyannote[3215].speaker |
SPEAKER_22 |
transcript.pyannote[3215].start |
16768.53284375 |
transcript.pyannote[3215].end |
16771.13159375 |
transcript.pyannote[3216].speaker |
SPEAKER_22 |
transcript.pyannote[3216].start |
16771.58721875 |
transcript.pyannote[3216].end |
16774.10159375 |
transcript.pyannote[3217].speaker |
SPEAKER_22 |
transcript.pyannote[3217].start |
16774.55721875 |
transcript.pyannote[3217].end |
16780.29471875 |
transcript.pyannote[3218].speaker |
SPEAKER_22 |
transcript.pyannote[3218].start |
16780.46346875 |
transcript.pyannote[3218].end |
16791.93846875 |
transcript.pyannote[3219].speaker |
SPEAKER_22 |
transcript.pyannote[3219].start |
16792.34346875 |
transcript.pyannote[3219].end |
16793.98034375 |
transcript.pyannote[3220].speaker |
SPEAKER_22 |
transcript.pyannote[3220].start |
16794.45284375 |
transcript.pyannote[3220].end |
16797.03471875 |
transcript.pyannote[3221].speaker |
SPEAKER_05 |
transcript.pyannote[3221].start |
16797.03471875 |
transcript.pyannote[3221].end |
16797.89534375 |
transcript.pyannote[3222].speaker |
SPEAKER_22 |
transcript.pyannote[3222].start |
16798.24971875 |
transcript.pyannote[3222].end |
16798.26659375 |
transcript.pyannote[3223].speaker |
SPEAKER_05 |
transcript.pyannote[3223].start |
16798.26659375 |
transcript.pyannote[3223].end |
16799.51534375 |
transcript.pyannote[3224].speaker |
SPEAKER_05 |
transcript.pyannote[3224].start |
16799.86971875 |
transcript.pyannote[3224].end |
16810.95659375 |
transcript.pyannote[3225].speaker |
SPEAKER_22 |
transcript.pyannote[3225].start |
16808.44221875 |
transcript.pyannote[3225].end |
16810.34909375 |
transcript.pyannote[3226].speaker |
SPEAKER_22 |
transcript.pyannote[3226].start |
16810.90596875 |
transcript.pyannote[3226].end |
16813.36971875 |
transcript.pyannote[3227].speaker |
SPEAKER_22 |
transcript.pyannote[3227].start |
16814.09534375 |
transcript.pyannote[3227].end |
16816.52534375 |
transcript.pyannote[3228].speaker |
SPEAKER_22 |
transcript.pyannote[3228].start |
16817.67284375 |
transcript.pyannote[3228].end |
16821.18284375 |
transcript.pyannote[3229].speaker |
SPEAKER_22 |
transcript.pyannote[3229].start |
16821.79034375 |
transcript.pyannote[3229].end |
16827.32534375 |
transcript.pyannote[3230].speaker |
SPEAKER_22 |
transcript.pyannote[3230].start |
16827.78096875 |
transcript.pyannote[3230].end |
16829.01284375 |
transcript.pyannote[3231].speaker |
SPEAKER_22 |
transcript.pyannote[3231].start |
16829.35034375 |
transcript.pyannote[3231].end |
16831.62846875 |
transcript.pyannote[3232].speaker |
SPEAKER_22 |
transcript.pyannote[3232].start |
16831.76346875 |
transcript.pyannote[3232].end |
16834.24409375 |
transcript.pyannote[3233].speaker |
SPEAKER_22 |
transcript.pyannote[3233].start |
16834.61534375 |
transcript.pyannote[3233].end |
16836.85971875 |
transcript.pyannote[3234].speaker |
SPEAKER_22 |
transcript.pyannote[3234].start |
16837.31534375 |
transcript.pyannote[3234].end |
16841.19659375 |
transcript.pyannote[3235].speaker |
SPEAKER_22 |
transcript.pyannote[3235].start |
16841.88846875 |
transcript.pyannote[3235].end |
16848.89159375 |
transcript.pyannote[3236].speaker |
SPEAKER_22 |
transcript.pyannote[3236].start |
16849.34721875 |
transcript.pyannote[3236].end |
16850.44409375 |
transcript.pyannote[3237].speaker |
SPEAKER_22 |
transcript.pyannote[3237].start |
16850.52846875 |
transcript.pyannote[3237].end |
16855.86096875 |
transcript.pyannote[3238].speaker |
SPEAKER_22 |
transcript.pyannote[3238].start |
16856.19846875 |
transcript.pyannote[3238].end |
16859.87721875 |
transcript.pyannote[3239].speaker |
SPEAKER_22 |
transcript.pyannote[3239].start |
16860.78846875 |
transcript.pyannote[3239].end |
16861.51409375 |
transcript.pyannote[3240].speaker |
SPEAKER_22 |
transcript.pyannote[3240].start |
16861.95284375 |
transcript.pyannote[3240].end |
16869.49596875 |
transcript.pyannote[3241].speaker |
SPEAKER_22 |
transcript.pyannote[3241].start |
16870.05284375 |
transcript.pyannote[3241].end |
16880.83596875 |
transcript.pyannote[3242].speaker |
SPEAKER_22 |
transcript.pyannote[3242].start |
16881.69659375 |
transcript.pyannote[3242].end |
16887.61971875 |
transcript.pyannote[3243].speaker |
SPEAKER_22 |
transcript.pyannote[3243].start |
16888.07534375 |
transcript.pyannote[3243].end |
16890.06659375 |
transcript.pyannote[3244].speaker |
SPEAKER_22 |
transcript.pyannote[3244].start |
16890.82596875 |
transcript.pyannote[3244].end |
16894.35284375 |
transcript.pyannote[3245].speaker |
SPEAKER_22 |
transcript.pyannote[3245].start |
16894.72409375 |
transcript.pyannote[3245].end |
16895.88846875 |
transcript.pyannote[3246].speaker |
SPEAKER_22 |
transcript.pyannote[3246].start |
16896.24284375 |
transcript.pyannote[3246].end |
16905.13596875 |
transcript.pyannote[3247].speaker |
SPEAKER_22 |
transcript.pyannote[3247].start |
16905.37221875 |
transcript.pyannote[3247].end |
16907.80221875 |
transcript.pyannote[3248].speaker |
SPEAKER_22 |
transcript.pyannote[3248].start |
16908.42659375 |
transcript.pyannote[3248].end |
16909.35471875 |
transcript.pyannote[3249].speaker |
SPEAKER_22 |
transcript.pyannote[3249].start |
16909.55721875 |
transcript.pyannote[3249].end |
16916.05409375 |
transcript.pyannote[3250].speaker |
SPEAKER_22 |
transcript.pyannote[3250].start |
16916.07096875 |
transcript.pyannote[3250].end |
16920.10409375 |
transcript.pyannote[3251].speaker |
SPEAKER_22 |
transcript.pyannote[3251].start |
16920.40784375 |
transcript.pyannote[3251].end |
16923.46221875 |
transcript.pyannote[3252].speaker |
SPEAKER_22 |
transcript.pyannote[3252].start |
16924.44096875 |
transcript.pyannote[3252].end |
16926.58409375 |
transcript.pyannote[3253].speaker |
SPEAKER_22 |
transcript.pyannote[3253].start |
16927.05659375 |
transcript.pyannote[3253].end |
16928.20409375 |
transcript.pyannote[3254].speaker |
SPEAKER_22 |
transcript.pyannote[3254].start |
16929.65534375 |
transcript.pyannote[3254].end |
16933.58721875 |
transcript.pyannote[3255].speaker |
SPEAKER_22 |
transcript.pyannote[3255].start |
16933.92471875 |
transcript.pyannote[3255].end |
16934.88659375 |
transcript.pyannote[3256].speaker |
SPEAKER_22 |
transcript.pyannote[3256].start |
16935.52784375 |
transcript.pyannote[3256].end |
16936.94534375 |
transcript.pyannote[3257].speaker |
SPEAKER_22 |
transcript.pyannote[3257].start |
16936.96221875 |
transcript.pyannote[3257].end |
16936.97909375 |
transcript.pyannote[3258].speaker |
SPEAKER_22 |
transcript.pyannote[3258].start |
16937.80596875 |
transcript.pyannote[3258].end |
16941.33284375 |
transcript.pyannote[3259].speaker |
SPEAKER_22 |
transcript.pyannote[3259].start |
16941.80534375 |
transcript.pyannote[3259].end |
16944.91034375 |
transcript.pyannote[3260].speaker |
SPEAKER_22 |
transcript.pyannote[3260].start |
16945.58534375 |
transcript.pyannote[3260].end |
16946.66534375 |
transcript.pyannote[3261].speaker |
SPEAKER_22 |
transcript.pyannote[3261].start |
16948.25159375 |
transcript.pyannote[3261].end |
16949.60159375 |
transcript.pyannote[3262].speaker |
SPEAKER_22 |
transcript.pyannote[3262].start |
16950.17534375 |
transcript.pyannote[3262].end |
16959.06846875 |
transcript.pyannote[3263].speaker |
SPEAKER_22 |
transcript.pyannote[3263].start |
16959.64221875 |
transcript.pyannote[3263].end |
16965.39659375 |
transcript.pyannote[3264].speaker |
SPEAKER_22 |
transcript.pyannote[3264].start |
16965.97034375 |
transcript.pyannote[3264].end |
16968.41721875 |
transcript.pyannote[3265].speaker |
SPEAKER_22 |
transcript.pyannote[3265].start |
16968.78846875 |
transcript.pyannote[3265].end |
16971.57284375 |
transcript.pyannote[3266].speaker |
SPEAKER_22 |
transcript.pyannote[3266].start |
16972.19721875 |
transcript.pyannote[3266].end |
16974.03659375 |
transcript.pyannote[3267].speaker |
SPEAKER_22 |
transcript.pyannote[3267].start |
16974.54284375 |
transcript.pyannote[3267].end |
16975.82534375 |
transcript.pyannote[3268].speaker |
SPEAKER_22 |
transcript.pyannote[3268].start |
16976.39909375 |
transcript.pyannote[3268].end |
16983.25034375 |
transcript.pyannote[3269].speaker |
SPEAKER_22 |
transcript.pyannote[3269].start |
16983.65534375 |
transcript.pyannote[3269].end |
16985.47784375 |
transcript.pyannote[3270].speaker |
SPEAKER_22 |
transcript.pyannote[3270].start |
16986.11909375 |
transcript.pyannote[3270].end |
16989.12284375 |
transcript.pyannote[3271].speaker |
SPEAKER_22 |
transcript.pyannote[3271].start |
16989.81471875 |
transcript.pyannote[3271].end |
16991.24909375 |
transcript.pyannote[3272].speaker |
SPEAKER_22 |
transcript.pyannote[3272].start |
16991.48534375 |
transcript.pyannote[3272].end |
16992.98721875 |
transcript.pyannote[3273].speaker |
SPEAKER_22 |
transcript.pyannote[3273].start |
16993.40909375 |
transcript.pyannote[3273].end |
16996.58159375 |
transcript.pyannote[3274].speaker |
SPEAKER_04 |
transcript.pyannote[3274].start |
16996.58159375 |
transcript.pyannote[3274].end |
16997.39159375 |
transcript.pyannote[3275].speaker |
SPEAKER_22 |
transcript.pyannote[3275].start |
16996.81784375 |
transcript.pyannote[3275].end |
16999.50096875 |
transcript.pyannote[3276].speaker |
SPEAKER_22 |
transcript.pyannote[3276].start |
16999.78784375 |
transcript.pyannote[3276].end |
17003.06159375 |
transcript.pyannote[3277].speaker |
SPEAKER_22 |
transcript.pyannote[3277].start |
17003.48346875 |
transcript.pyannote[3277].end |
17006.50409375 |
transcript.pyannote[3278].speaker |
SPEAKER_22 |
transcript.pyannote[3278].start |
17006.82471875 |
transcript.pyannote[3278].end |
17007.19596875 |
transcript.pyannote[3279].speaker |
SPEAKER_22 |
transcript.pyannote[3279].start |
17007.97221875 |
transcript.pyannote[3279].end |
17009.28846875 |
transcript.pyannote[3280].speaker |
SPEAKER_22 |
transcript.pyannote[3280].start |
17009.71034375 |
transcript.pyannote[3280].end |
17011.27971875 |
transcript.pyannote[3281].speaker |
SPEAKER_22 |
transcript.pyannote[3281].start |
17011.58346875 |
transcript.pyannote[3281].end |
17012.86596875 |
transcript.pyannote[3282].speaker |
SPEAKER_22 |
transcript.pyannote[3282].start |
17013.23721875 |
transcript.pyannote[3282].end |
17014.72221875 |
transcript.pyannote[3283].speaker |
SPEAKER_22 |
transcript.pyannote[3283].start |
17015.27909375 |
transcript.pyannote[3283].end |
17022.29909375 |
transcript.pyannote[3284].speaker |
SPEAKER_22 |
transcript.pyannote[3284].start |
17022.75471875 |
transcript.pyannote[3284].end |
17026.12971875 |
transcript.pyannote[3285].speaker |
SPEAKER_22 |
transcript.pyannote[3285].start |
17026.48409375 |
transcript.pyannote[3285].end |
17027.93534375 |
transcript.pyannote[3286].speaker |
SPEAKER_05 |
transcript.pyannote[3286].start |
17028.55971875 |
transcript.pyannote[3286].end |
17031.22596875 |
transcript.pyannote[3287].speaker |
SPEAKER_20 |
transcript.pyannote[3287].start |
17033.09909375 |
transcript.pyannote[3287].end |
17035.39409375 |
transcript.pyannote[3288].speaker |
SPEAKER_20 |
transcript.pyannote[3288].start |
17035.79909375 |
transcript.pyannote[3288].end |
17038.44846875 |
transcript.pyannote[3289].speaker |
SPEAKER_31 |
transcript.pyannote[3289].start |
17048.08409375 |
transcript.pyannote[3289].end |
17049.75471875 |
transcript.pyannote[3290].speaker |
SPEAKER_20 |
transcript.pyannote[3290].start |
17049.92346875 |
transcript.pyannote[3290].end |
17050.66596875 |
transcript.pyannote[3291].speaker |
SPEAKER_03 |
transcript.pyannote[3291].start |
17055.59346875 |
transcript.pyannote[3291].end |
17055.84659375 |
transcript.pyannote[3292].speaker |
SPEAKER_31 |
transcript.pyannote[3292].start |
17055.84659375 |
transcript.pyannote[3292].end |
17068.60409375 |
transcript.pyannote[3293].speaker |
SPEAKER_31 |
transcript.pyannote[3293].start |
17068.67159375 |
transcript.pyannote[3293].end |
17103.88971875 |
transcript.pyannote[3294].speaker |
SPEAKER_05 |
transcript.pyannote[3294].start |
17105.05409375 |
transcript.pyannote[3294].end |
17109.66096875 |
transcript.pyannote[3295].speaker |
SPEAKER_31 |
transcript.pyannote[3295].start |
17109.86346875 |
transcript.pyannote[3295].end |
17135.29409375 |
transcript.pyannote[3296].speaker |
SPEAKER_31 |
transcript.pyannote[3296].start |
17135.56409375 |
transcript.pyannote[3296].end |
17141.50409375 |
transcript.pyannote[3297].speaker |
SPEAKER_31 |
transcript.pyannote[3297].start |
17141.85846875 |
transcript.pyannote[3297].end |
17151.46034375 |
transcript.pyannote[3298].speaker |
SPEAKER_31 |
transcript.pyannote[3298].start |
17151.67971875 |
transcript.pyannote[3298].end |
17153.45159375 |
transcript.pyannote[3299].speaker |
SPEAKER_05 |
transcript.pyannote[3299].start |
17154.14346875 |
transcript.pyannote[3299].end |
17154.51471875 |
transcript.pyannote[3300].speaker |
SPEAKER_31 |
transcript.pyannote[3300].start |
17155.59471875 |
transcript.pyannote[3300].end |
17155.61159375 |
transcript.pyannote[3301].speaker |
SPEAKER_05 |
transcript.pyannote[3301].start |
17155.61159375 |
transcript.pyannote[3301].end |
17156.05034375 |
transcript.pyannote[3302].speaker |
SPEAKER_05 |
transcript.pyannote[3302].start |
17156.65784375 |
transcript.pyannote[3302].end |
17161.87221875 |
transcript.pyannote[3303].speaker |
SPEAKER_05 |
transcript.pyannote[3303].start |
17162.51346875 |
transcript.pyannote[3303].end |
17167.77846875 |
transcript.pyannote[3304].speaker |
SPEAKER_31 |
transcript.pyannote[3304].start |
17167.77846875 |
transcript.pyannote[3304].end |
17191.57221875 |
transcript.pyannote[3305].speaker |
SPEAKER_31 |
transcript.pyannote[3305].start |
17191.82534375 |
transcript.pyannote[3305].end |
17196.33096875 |
transcript.pyannote[3306].speaker |
SPEAKER_31 |
transcript.pyannote[3306].start |
17197.14096875 |
transcript.pyannote[3306].end |
17200.43159375 |
transcript.pyannote[3307].speaker |
SPEAKER_31 |
transcript.pyannote[3307].start |
17200.66784375 |
transcript.pyannote[3307].end |
17207.40096875 |
transcript.pyannote[3308].speaker |
SPEAKER_31 |
transcript.pyannote[3308].start |
17207.48534375 |
transcript.pyannote[3308].end |
17212.63221875 |
transcript.pyannote[3309].speaker |
SPEAKER_31 |
transcript.pyannote[3309].start |
17213.35784375 |
transcript.pyannote[3309].end |
17214.40409375 |
transcript.pyannote[3310].speaker |
SPEAKER_31 |
transcript.pyannote[3310].start |
17214.94409375 |
transcript.pyannote[3310].end |
17218.84221875 |
transcript.pyannote[3311].speaker |
SPEAKER_31 |
transcript.pyannote[3311].start |
17219.39909375 |
transcript.pyannote[3311].end |
17223.65159375 |
transcript.pyannote[3312].speaker |
SPEAKER_31 |
transcript.pyannote[3312].start |
17224.34346875 |
transcript.pyannote[3312].end |
17226.43596875 |
transcript.pyannote[3313].speaker |
SPEAKER_31 |
transcript.pyannote[3313].start |
17227.06034375 |
transcript.pyannote[3313].end |
17227.98846875 |
transcript.pyannote[3314].speaker |
SPEAKER_31 |
transcript.pyannote[3314].start |
17228.73096875 |
transcript.pyannote[3314].end |
17235.10971875 |
transcript.pyannote[3315].speaker |
SPEAKER_31 |
transcript.pyannote[3315].start |
17235.53159375 |
transcript.pyannote[3315].end |
17241.77534375 |
transcript.pyannote[3316].speaker |
SPEAKER_31 |
transcript.pyannote[3316].start |
17241.96096875 |
transcript.pyannote[3316].end |
17255.19096875 |
transcript.pyannote[3317].speaker |
SPEAKER_31 |
transcript.pyannote[3317].start |
17255.73096875 |
transcript.pyannote[3317].end |
17267.15534375 |
transcript.pyannote[3318].speaker |
SPEAKER_31 |
transcript.pyannote[3318].start |
17268.11721875 |
transcript.pyannote[3318].end |
17275.62659375 |
transcript.pyannote[3319].speaker |
SPEAKER_31 |
transcript.pyannote[3319].start |
17276.09909375 |
transcript.pyannote[3319].end |
17278.09034375 |
transcript.pyannote[3320].speaker |
SPEAKER_05 |
transcript.pyannote[3320].start |
17279.30534375 |
transcript.pyannote[3320].end |
17279.71034375 |
transcript.pyannote[3321].speaker |
SPEAKER_05 |
transcript.pyannote[3321].start |
17280.11534375 |
transcript.pyannote[3321].end |
17281.60034375 |
transcript.pyannote[3322].speaker |
SPEAKER_31 |
transcript.pyannote[3322].start |
17281.11096875 |
transcript.pyannote[3322].end |
17287.75971875 |
transcript.pyannote[3323].speaker |
SPEAKER_31 |
transcript.pyannote[3323].start |
17288.40096875 |
transcript.pyannote[3323].end |
17292.02909375 |
transcript.pyannote[3324].speaker |
SPEAKER_04 |
transcript.pyannote[3324].start |
17293.42971875 |
transcript.pyannote[3324].end |
17294.29034375 |
transcript.pyannote[3325].speaker |
SPEAKER_31 |
transcript.pyannote[3325].start |
17294.62784375 |
transcript.pyannote[3325].end |
17300.04471875 |
transcript.pyannote[3326].speaker |
SPEAKER_31 |
transcript.pyannote[3326].start |
17300.31471875 |
transcript.pyannote[3326].end |
17308.26284375 |
transcript.pyannote[3327].speaker |
SPEAKER_02 |
transcript.pyannote[3327].start |
17308.26284375 |
transcript.pyannote[3327].end |
17321.93159375 |
transcript.pyannote[3328].speaker |
SPEAKER_31 |
transcript.pyannote[3328].start |
17321.17221875 |
transcript.pyannote[3328].end |
17323.02846875 |
transcript.pyannote[3329].speaker |
SPEAKER_02 |
transcript.pyannote[3329].start |
17322.55596875 |
transcript.pyannote[3329].end |
17322.97784375 |
transcript.pyannote[3330].speaker |
SPEAKER_02 |
transcript.pyannote[3330].start |
17323.02846875 |
transcript.pyannote[3330].end |
17323.16346875 |
transcript.pyannote[3331].speaker |
SPEAKER_31 |
transcript.pyannote[3331].start |
17323.16346875 |
transcript.pyannote[3331].end |
17323.60221875 |
transcript.pyannote[3332].speaker |
SPEAKER_02 |
transcript.pyannote[3332].start |
17323.60221875 |
transcript.pyannote[3332].end |
17323.63596875 |
transcript.pyannote[3333].speaker |
SPEAKER_31 |
transcript.pyannote[3333].start |
17323.63596875 |
transcript.pyannote[3333].end |
17323.73721875 |
transcript.pyannote[3334].speaker |
SPEAKER_02 |
transcript.pyannote[3334].start |
17323.92284375 |
transcript.pyannote[3334].end |
17323.93971875 |
transcript.pyannote[3335].speaker |
SPEAKER_31 |
transcript.pyannote[3335].start |
17323.93971875 |
transcript.pyannote[3335].end |
17325.72846875 |
transcript.pyannote[3336].speaker |
SPEAKER_02 |
transcript.pyannote[3336].start |
17325.72846875 |
transcript.pyannote[3336].end |
17327.66909375 |
transcript.pyannote[3337].speaker |
SPEAKER_31 |
transcript.pyannote[3337].start |
17325.74534375 |
transcript.pyannote[3337].end |
17325.99846875 |
transcript.pyannote[3338].speaker |
SPEAKER_31 |
transcript.pyannote[3338].start |
17327.28096875 |
transcript.pyannote[3338].end |
17327.61846875 |
transcript.pyannote[3339].speaker |
SPEAKER_31 |
transcript.pyannote[3339].start |
17327.66909375 |
transcript.pyannote[3339].end |
17327.68596875 |
transcript.pyannote[3340].speaker |
SPEAKER_02 |
transcript.pyannote[3340].start |
17327.68596875 |
transcript.pyannote[3340].end |
17327.70284375 |
transcript.pyannote[3341].speaker |
SPEAKER_31 |
transcript.pyannote[3341].start |
17327.70284375 |
transcript.pyannote[3341].end |
17330.82471875 |
transcript.pyannote[3342].speaker |
SPEAKER_31 |
transcript.pyannote[3342].start |
17331.49971875 |
transcript.pyannote[3342].end |
17357.11596875 |
transcript.pyannote[3343].speaker |
SPEAKER_31 |
transcript.pyannote[3343].start |
17357.47034375 |
transcript.pyannote[3343].end |
17359.02284375 |
transcript.pyannote[3344].speaker |
SPEAKER_31 |
transcript.pyannote[3344].start |
17359.24221875 |
transcript.pyannote[3344].end |
17360.08596875 |
transcript.pyannote[3345].speaker |
SPEAKER_31 |
transcript.pyannote[3345].start |
17360.25471875 |
transcript.pyannote[3345].end |
17361.60471875 |
transcript.pyannote[3346].speaker |
SPEAKER_31 |
transcript.pyannote[3346].start |
17362.58346875 |
transcript.pyannote[3346].end |
17365.58721875 |
transcript.pyannote[3347].speaker |
SPEAKER_31 |
transcript.pyannote[3347].start |
17366.14409375 |
transcript.pyannote[3347].end |
17395.54034375 |
transcript.pyannote[3348].speaker |
SPEAKER_31 |
transcript.pyannote[3348].start |
17397.07596875 |
transcript.pyannote[3348].end |
17400.67034375 |
transcript.pyannote[3349].speaker |
SPEAKER_05 |
transcript.pyannote[3349].start |
17400.67034375 |
transcript.pyannote[3349].end |
17410.86284375 |
transcript.pyannote[3350].speaker |
SPEAKER_05 |
transcript.pyannote[3350].start |
17411.36909375 |
transcript.pyannote[3350].end |
17426.65784375 |
transcript.pyannote[3351].speaker |
SPEAKER_05 |
transcript.pyannote[3351].start |
17426.79284375 |
transcript.pyannote[3351].end |
17444.02221875 |
transcript.pyannote[3352].speaker |
SPEAKER_31 |
transcript.pyannote[3352].start |
17444.03909375 |
transcript.pyannote[3352].end |
17444.41034375 |
transcript.pyannote[3353].speaker |
SPEAKER_31 |
transcript.pyannote[3353].start |
17444.56221875 |
transcript.pyannote[3353].end |
17461.26846875 |
transcript.pyannote[3354].speaker |
SPEAKER_31 |
transcript.pyannote[3354].start |
17461.74096875 |
transcript.pyannote[3354].end |
17495.71034375 |
transcript.pyannote[3355].speaker |
SPEAKER_31 |
transcript.pyannote[3355].start |
17495.91284375 |
transcript.pyannote[3355].end |
17497.11096875 |
transcript.pyannote[3356].speaker |
SPEAKER_31 |
transcript.pyannote[3356].start |
17497.38096875 |
transcript.pyannote[3356].end |
17501.11034375 |
transcript.pyannote[3357].speaker |
SPEAKER_31 |
transcript.pyannote[3357].start |
17501.26221875 |
transcript.pyannote[3357].end |
17501.76846875 |
transcript.pyannote[3358].speaker |
SPEAKER_31 |
transcript.pyannote[3358].start |
17502.00471875 |
transcript.pyannote[3358].end |
17505.26159375 |
transcript.pyannote[3359].speaker |
SPEAKER_31 |
transcript.pyannote[3359].start |
17505.46409375 |
transcript.pyannote[3359].end |
17507.01659375 |
transcript.pyannote[3360].speaker |
SPEAKER_31 |
transcript.pyannote[3360].start |
17507.18534375 |
transcript.pyannote[3360].end |
17516.66909375 |
transcript.pyannote[3361].speaker |
SPEAKER_31 |
transcript.pyannote[3361].start |
17517.10784375 |
transcript.pyannote[3361].end |
17529.29159375 |
transcript.pyannote[3362].speaker |
SPEAKER_31 |
transcript.pyannote[3362].start |
17529.94971875 |
transcript.pyannote[3362].end |
17531.99159375 |
transcript.pyannote[3363].speaker |
SPEAKER_31 |
transcript.pyannote[3363].start |
17532.43034375 |
transcript.pyannote[3363].end |
17533.56096875 |
transcript.pyannote[3364].speaker |
SPEAKER_31 |
transcript.pyannote[3364].start |
17533.83096875 |
transcript.pyannote[3364].end |
17537.42534375 |
transcript.pyannote[3365].speaker |
SPEAKER_04 |
transcript.pyannote[3365].start |
17537.42534375 |
transcript.pyannote[3365].end |
17538.52221875 |
transcript.pyannote[3366].speaker |
SPEAKER_31 |
transcript.pyannote[3366].start |
17537.93159375 |
transcript.pyannote[3366].end |
17547.14534375 |
transcript.pyannote[3367].speaker |
SPEAKER_04 |
transcript.pyannote[3367].start |
17544.86721875 |
transcript.pyannote[3367].end |
17544.93471875 |
transcript.pyannote[3368].speaker |
SPEAKER_20 |
transcript.pyannote[3368].start |
17544.93471875 |
transcript.pyannote[3368].end |
17545.59284375 |
transcript.pyannote[3369].speaker |
SPEAKER_04 |
transcript.pyannote[3369].start |
17545.59284375 |
transcript.pyannote[3369].end |
17545.64346875 |
transcript.pyannote[3370].speaker |
SPEAKER_20 |
transcript.pyannote[3370].start |
17547.82034375 |
transcript.pyannote[3370].end |
17549.62596875 |
transcript.pyannote[3371].speaker |
SPEAKER_20 |
transcript.pyannote[3371].start |
17550.38534375 |
transcript.pyannote[3371].end |
17553.10221875 |
transcript.pyannote[3372].speaker |
SPEAKER_10 |
transcript.pyannote[3372].start |
17560.61159375 |
transcript.pyannote[3372].end |
17560.62846875 |
transcript.pyannote[3373].speaker |
SPEAKER_03 |
transcript.pyannote[3373].start |
17560.62846875 |
transcript.pyannote[3373].end |
17560.74659375 |
transcript.pyannote[3374].speaker |
SPEAKER_10 |
transcript.pyannote[3374].start |
17560.74659375 |
transcript.pyannote[3374].end |
17560.81409375 |
transcript.pyannote[3375].speaker |
SPEAKER_10 |
transcript.pyannote[3375].start |
17560.83096875 |
transcript.pyannote[3375].end |
17563.27784375 |
transcript.pyannote[3376].speaker |
SPEAKER_10 |
transcript.pyannote[3376].start |
17566.26471875 |
transcript.pyannote[3376].end |
17569.58909375 |
transcript.pyannote[3377].speaker |
SPEAKER_03 |
transcript.pyannote[3377].start |
17569.70721875 |
transcript.pyannote[3377].end |
17569.92659375 |
transcript.pyannote[3378].speaker |
SPEAKER_38 |
transcript.pyannote[3378].start |
17569.92659375 |
transcript.pyannote[3378].end |
17569.96034375 |
transcript.pyannote[3379].speaker |
SPEAKER_03 |
transcript.pyannote[3379].start |
17570.04471875 |
transcript.pyannote[3379].end |
17570.44971875 |
transcript.pyannote[3380].speaker |
SPEAKER_10 |
transcript.pyannote[3380].start |
17570.31471875 |
transcript.pyannote[3380].end |
17574.21284375 |
transcript.pyannote[3381].speaker |
SPEAKER_38 |
transcript.pyannote[3381].start |
17570.44971875 |
transcript.pyannote[3381].end |
17570.50034375 |
transcript.pyannote[3382].speaker |
SPEAKER_05 |
transcript.pyannote[3382].start |
17574.28034375 |
transcript.pyannote[3382].end |
17574.49971875 |
transcript.pyannote[3383].speaker |
SPEAKER_10 |
transcript.pyannote[3383].start |
17574.73596875 |
transcript.pyannote[3383].end |
17579.93346875 |
transcript.pyannote[3384].speaker |
SPEAKER_05 |
transcript.pyannote[3384].start |
17580.55784375 |
transcript.pyannote[3384].end |
17582.31284375 |
transcript.pyannote[3385].speaker |
SPEAKER_10 |
transcript.pyannote[3385].start |
17580.91221875 |
transcript.pyannote[3385].end |
17595.84659375 |
transcript.pyannote[3386].speaker |
SPEAKER_38 |
transcript.pyannote[3386].start |
17595.57659375 |
transcript.pyannote[3386].end |
17595.81284375 |
transcript.pyannote[3387].speaker |
SPEAKER_38 |
transcript.pyannote[3387].start |
17595.84659375 |
transcript.pyannote[3387].end |
17595.94784375 |
transcript.pyannote[3388].speaker |
SPEAKER_10 |
transcript.pyannote[3388].start |
17595.94784375 |
transcript.pyannote[3388].end |
17595.96471875 |
transcript.pyannote[3389].speaker |
SPEAKER_38 |
transcript.pyannote[3389].start |
17595.96471875 |
transcript.pyannote[3389].end |
17595.98159375 |
transcript.pyannote[3390].speaker |
SPEAKER_10 |
transcript.pyannote[3390].start |
17595.98159375 |
transcript.pyannote[3390].end |
17596.09971875 |
transcript.pyannote[3391].speaker |
SPEAKER_10 |
transcript.pyannote[3391].start |
17596.15034375 |
transcript.pyannote[3391].end |
17602.49534375 |
transcript.pyannote[3392].speaker |
SPEAKER_10 |
transcript.pyannote[3392].start |
17603.03534375 |
transcript.pyannote[3392].end |
17607.42284375 |
transcript.pyannote[3393].speaker |
SPEAKER_10 |
transcript.pyannote[3393].start |
17607.52409375 |
transcript.pyannote[3393].end |
17622.45846875 |
transcript.pyannote[3394].speaker |
SPEAKER_10 |
transcript.pyannote[3394].start |
17622.69471875 |
transcript.pyannote[3394].end |
17627.84159375 |
transcript.pyannote[3395].speaker |
SPEAKER_10 |
transcript.pyannote[3395].start |
17628.66846875 |
transcript.pyannote[3395].end |
17641.57784375 |
transcript.pyannote[3396].speaker |
SPEAKER_10 |
transcript.pyannote[3396].start |
17641.72971875 |
transcript.pyannote[3396].end |
17643.48471875 |
transcript.pyannote[3397].speaker |
SPEAKER_10 |
transcript.pyannote[3397].start |
17643.58596875 |
transcript.pyannote[3397].end |
17645.79659375 |
transcript.pyannote[3398].speaker |
SPEAKER_10 |
transcript.pyannote[3398].start |
17646.42096875 |
transcript.pyannote[3398].end |
17647.90596875 |
transcript.pyannote[3399].speaker |
SPEAKER_10 |
transcript.pyannote[3399].start |
17648.27721875 |
transcript.pyannote[3399].end |
17663.81909375 |
transcript.pyannote[3400].speaker |
SPEAKER_05 |
transcript.pyannote[3400].start |
17664.12284375 |
transcript.pyannote[3400].end |
17664.46034375 |
transcript.pyannote[3401].speaker |
SPEAKER_05 |
transcript.pyannote[3401].start |
17664.83159375 |
transcript.pyannote[3401].end |
17675.09159375 |
transcript.pyannote[3402].speaker |
SPEAKER_05 |
transcript.pyannote[3402].start |
17675.29409375 |
transcript.pyannote[3402].end |
17699.62784375 |
transcript.pyannote[3403].speaker |
SPEAKER_10 |
transcript.pyannote[3403].start |
17699.83034375 |
transcript.pyannote[3403].end |
17709.58409375 |
transcript.pyannote[3404].speaker |
SPEAKER_10 |
transcript.pyannote[3404].start |
17709.75284375 |
transcript.pyannote[3404].end |
17731.01534375 |
transcript.pyannote[3405].speaker |
SPEAKER_05 |
transcript.pyannote[3405].start |
17731.01534375 |
transcript.pyannote[3405].end |
17731.11659375 |
transcript.pyannote[3406].speaker |
SPEAKER_10 |
transcript.pyannote[3406].start |
17731.11659375 |
transcript.pyannote[3406].end |
17731.52159375 |
transcript.pyannote[3407].speaker |
SPEAKER_05 |
transcript.pyannote[3407].start |
17731.13346875 |
transcript.pyannote[3407].end |
17731.43721875 |
transcript.pyannote[3408].speaker |
SPEAKER_05 |
transcript.pyannote[3408].start |
17731.63971875 |
transcript.pyannote[3408].end |
17738.55846875 |
transcript.pyannote[3409].speaker |
SPEAKER_10 |
transcript.pyannote[3409].start |
17737.96784375 |
transcript.pyannote[3409].end |
17747.45159375 |
transcript.pyannote[3410].speaker |
SPEAKER_05 |
transcript.pyannote[3410].start |
17739.90846875 |
transcript.pyannote[3410].end |
17740.16159375 |
transcript.pyannote[3411].speaker |
SPEAKER_38 |
transcript.pyannote[3411].start |
17740.16159375 |
transcript.pyannote[3411].end |
17740.22909375 |
transcript.pyannote[3412].speaker |
SPEAKER_04 |
transcript.pyannote[3412].start |
17746.11846875 |
transcript.pyannote[3412].end |
17746.13534375 |
transcript.pyannote[3413].speaker |
SPEAKER_38 |
transcript.pyannote[3413].start |
17746.13534375 |
transcript.pyannote[3413].end |
17748.09284375 |
transcript.pyannote[3414].speaker |
SPEAKER_10 |
transcript.pyannote[3414].start |
17747.70471875 |
transcript.pyannote[3414].end |
17768.88284375 |
transcript.pyannote[3415].speaker |
SPEAKER_10 |
transcript.pyannote[3415].start |
17769.40596875 |
transcript.pyannote[3415].end |
17788.05284375 |
transcript.pyannote[3416].speaker |
SPEAKER_11 |
transcript.pyannote[3416].start |
17772.49409375 |
transcript.pyannote[3416].end |
17772.78096875 |
transcript.pyannote[3417].speaker |
SPEAKER_00 |
transcript.pyannote[3417].start |
17772.78096875 |
transcript.pyannote[3417].end |
17772.81471875 |
transcript.pyannote[3418].speaker |
SPEAKER_10 |
transcript.pyannote[3418].start |
17788.87971875 |
transcript.pyannote[3418].end |
17792.74409375 |
transcript.pyannote[3419].speaker |
SPEAKER_10 |
transcript.pyannote[3419].start |
17792.82846875 |
transcript.pyannote[3419].end |
17792.84534375 |
transcript.pyannote[3420].speaker |
SPEAKER_04 |
transcript.pyannote[3420].start |
17792.84534375 |
transcript.pyannote[3420].end |
17793.03096875 |
transcript.pyannote[3421].speaker |
SPEAKER_10 |
transcript.pyannote[3421].start |
17793.03096875 |
transcript.pyannote[3421].end |
17795.62971875 |
transcript.pyannote[3422].speaker |
SPEAKER_04 |
transcript.pyannote[3422].start |
17793.08159375 |
transcript.pyannote[3422].end |
17793.13221875 |
transcript.pyannote[3423].speaker |
SPEAKER_10 |
transcript.pyannote[3423].start |
17796.20346875 |
transcript.pyannote[3423].end |
17799.57846875 |
transcript.pyannote[3424].speaker |
SPEAKER_05 |
transcript.pyannote[3424].start |
17800.23659375 |
transcript.pyannote[3424].end |
17800.28721875 |
transcript.pyannote[3425].speaker |
SPEAKER_04 |
transcript.pyannote[3425].start |
17800.28721875 |
transcript.pyannote[3425].end |
17800.32096875 |
transcript.pyannote[3426].speaker |
SPEAKER_05 |
transcript.pyannote[3426].start |
17800.32096875 |
transcript.pyannote[3426].end |
17806.37909375 |
transcript.pyannote[3427].speaker |
SPEAKER_04 |
transcript.pyannote[3427].start |
17800.55721875 |
transcript.pyannote[3427].end |
17800.57409375 |
transcript.pyannote[3428].speaker |
SPEAKER_10 |
transcript.pyannote[3428].start |
17800.57409375 |
transcript.pyannote[3428].end |
17800.60784375 |
transcript.pyannote[3429].speaker |
SPEAKER_04 |
transcript.pyannote[3429].start |
17800.69221875 |
transcript.pyannote[3429].end |
17800.77659375 |
transcript.pyannote[3430].speaker |
SPEAKER_10 |
transcript.pyannote[3430].start |
17800.77659375 |
transcript.pyannote[3430].end |
17801.06346875 |
transcript.pyannote[3431].speaker |
SPEAKER_10 |
transcript.pyannote[3431].start |
17801.70471875 |
transcript.pyannote[3431].end |
17802.04221875 |
transcript.pyannote[3432].speaker |
SPEAKER_10 |
transcript.pyannote[3432].start |
17806.37909375 |
transcript.pyannote[3432].end |
17824.41846875 |
transcript.pyannote[3433].speaker |
SPEAKER_10 |
transcript.pyannote[3433].start |
17824.60409375 |
transcript.pyannote[3433].end |
17830.37534375 |
transcript.pyannote[3434].speaker |
SPEAKER_10 |
transcript.pyannote[3434].start |
17830.74659375 |
transcript.pyannote[3434].end |
17831.59034375 |
transcript.pyannote[3435].speaker |
SPEAKER_05 |
transcript.pyannote[3435].start |
17832.13034375 |
transcript.pyannote[3435].end |
17833.48034375 |
transcript.pyannote[3436].speaker |
SPEAKER_10 |
transcript.pyannote[3436].start |
17833.58159375 |
transcript.pyannote[3436].end |
17847.48659375 |
transcript.pyannote[3437].speaker |
SPEAKER_10 |
transcript.pyannote[3437].start |
17848.06034375 |
transcript.pyannote[3437].end |
17849.07284375 |
transcript.pyannote[3438].speaker |
SPEAKER_10 |
transcript.pyannote[3438].start |
17849.12346875 |
transcript.pyannote[3438].end |
17850.97971875 |
transcript.pyannote[3439].speaker |
SPEAKER_05 |
transcript.pyannote[3439].start |
17850.97971875 |
transcript.pyannote[3439].end |
17851.14846875 |
transcript.pyannote[3440].speaker |
SPEAKER_10 |
transcript.pyannote[3440].start |
17851.14846875 |
transcript.pyannote[3440].end |
17855.08034375 |
transcript.pyannote[3441].speaker |
SPEAKER_10 |
transcript.pyannote[3441].start |
17855.23221875 |
transcript.pyannote[3441].end |
17863.92284375 |
transcript.pyannote[3442].speaker |
SPEAKER_10 |
transcript.pyannote[3442].start |
17864.17596875 |
transcript.pyannote[3442].end |
17880.37596875 |
transcript.pyannote[3443].speaker |
SPEAKER_10 |
transcript.pyannote[3443].start |
17880.83159375 |
transcript.pyannote[3443].end |
17882.04659375 |
transcript.pyannote[3444].speaker |
SPEAKER_10 |
transcript.pyannote[3444].start |
17882.62034375 |
transcript.pyannote[3444].end |
17883.64971875 |
transcript.pyannote[3445].speaker |
SPEAKER_05 |
transcript.pyannote[3445].start |
17884.27409375 |
transcript.pyannote[3445].end |
17888.49284375 |
transcript.pyannote[3446].speaker |
SPEAKER_10 |
transcript.pyannote[3446].start |
17887.04159375 |
transcript.pyannote[3446].end |
17887.96971875 |
transcript.pyannote[3447].speaker |
SPEAKER_05 |
transcript.pyannote[3447].start |
17888.84721875 |
transcript.pyannote[3447].end |
17889.85971875 |
transcript.pyannote[3448].speaker |
SPEAKER_10 |
transcript.pyannote[3448].start |
17889.85971875 |
transcript.pyannote[3448].end |
17897.53784375 |
transcript.pyannote[3449].speaker |
SPEAKER_10 |
transcript.pyannote[3449].start |
17897.95971875 |
transcript.pyannote[3449].end |
17927.86221875 |
transcript.pyannote[3450].speaker |
SPEAKER_10 |
transcript.pyannote[3450].start |
17928.40221875 |
transcript.pyannote[3450].end |
17933.53221875 |
transcript.pyannote[3451].speaker |
SPEAKER_10 |
transcript.pyannote[3451].start |
17933.98784375 |
transcript.pyannote[3451].end |
17950.40721875 |
transcript.pyannote[3452].speaker |
SPEAKER_10 |
transcript.pyannote[3452].start |
17951.52096875 |
transcript.pyannote[3452].end |
17952.49971875 |
transcript.pyannote[3453].speaker |
SPEAKER_05 |
transcript.pyannote[3453].start |
17952.49971875 |
transcript.pyannote[3453].end |
17953.34346875 |
transcript.pyannote[3454].speaker |
SPEAKER_10 |
transcript.pyannote[3454].start |
17953.24221875 |
transcript.pyannote[3454].end |
17954.20409375 |
transcript.pyannote[3455].speaker |
SPEAKER_10 |
transcript.pyannote[3455].start |
17955.08159375 |
transcript.pyannote[3455].end |
17956.90409375 |
transcript.pyannote[3456].speaker |
SPEAKER_05 |
transcript.pyannote[3456].start |
17956.81971875 |
transcript.pyannote[3456].end |
17957.61284375 |
transcript.pyannote[3457].speaker |
SPEAKER_10 |
transcript.pyannote[3457].start |
17957.44409375 |
transcript.pyannote[3457].end |
17960.97096875 |
transcript.pyannote[3458].speaker |
SPEAKER_36 |
transcript.pyannote[3458].start |
17957.61284375 |
transcript.pyannote[3458].end |
17957.76471875 |
transcript.pyannote[3459].speaker |
SPEAKER_05 |
transcript.pyannote[3459].start |
17957.76471875 |
transcript.pyannote[3459].end |
17957.96721875 |
transcript.pyannote[3460].speaker |
SPEAKER_36 |
transcript.pyannote[3460].start |
17957.96721875 |
transcript.pyannote[3460].end |
17958.81096875 |
transcript.pyannote[3461].speaker |
SPEAKER_05 |
transcript.pyannote[3461].start |
17958.81096875 |
transcript.pyannote[3461].end |
17958.84471875 |
transcript.pyannote[3462].speaker |
SPEAKER_10 |
transcript.pyannote[3462].start |
17961.81471875 |
transcript.pyannote[3462].end |
17963.01284375 |
transcript.pyannote[3463].speaker |
SPEAKER_10 |
transcript.pyannote[3463].start |
17963.35034375 |
transcript.pyannote[3463].end |
17967.02909375 |
transcript.pyannote[3464].speaker |
SPEAKER_10 |
transcript.pyannote[3464].start |
17967.63659375 |
transcript.pyannote[3464].end |
17969.23971875 |
transcript.pyannote[3465].speaker |
SPEAKER_10 |
transcript.pyannote[3465].start |
17969.88096875 |
transcript.pyannote[3465].end |
17971.04534375 |
transcript.pyannote[3466].speaker |
SPEAKER_36 |
transcript.pyannote[3466].start |
17971.51784375 |
transcript.pyannote[3466].end |
17971.68659375 |
transcript.pyannote[3467].speaker |
SPEAKER_10 |
transcript.pyannote[3467].start |
17971.58534375 |
transcript.pyannote[3467].end |
17973.71159375 |
transcript.pyannote[3468].speaker |
SPEAKER_36 |
transcript.pyannote[3468].start |
17974.09971875 |
transcript.pyannote[3468].end |
17975.51721875 |
transcript.pyannote[3469].speaker |
SPEAKER_10 |
transcript.pyannote[3469].start |
17975.19659375 |
transcript.pyannote[3469].end |
17976.52971875 |
transcript.pyannote[3470].speaker |
SPEAKER_36 |
transcript.pyannote[3470].start |
17976.52971875 |
transcript.pyannote[3470].end |
17979.95534375 |
transcript.pyannote[3471].speaker |
SPEAKER_10 |
transcript.pyannote[3471].start |
17978.31846875 |
transcript.pyannote[3471].end |
17980.81596875 |
transcript.pyannote[3472].speaker |
SPEAKER_36 |
transcript.pyannote[3472].start |
17981.47409375 |
transcript.pyannote[3472].end |
17981.54159375 |
transcript.pyannote[3473].speaker |
SPEAKER_10 |
transcript.pyannote[3473].start |
17981.96346875 |
transcript.pyannote[3473].end |
17988.67971875 |
transcript.pyannote[3474].speaker |
SPEAKER_10 |
transcript.pyannote[3474].start |
17989.87784375 |
transcript.pyannote[3474].end |
17994.53534375 |
transcript.pyannote[3475].speaker |
SPEAKER_36 |
transcript.pyannote[3475].start |
17995.24409375 |
transcript.pyannote[3475].end |
18000.96471875 |
transcript.pyannote[3476].speaker |
SPEAKER_10 |
transcript.pyannote[3476].start |
17996.54346875 |
transcript.pyannote[3476].end |
17998.21409375 |
transcript.pyannote[3477].speaker |
SPEAKER_10 |
transcript.pyannote[3477].start |
18000.18846875 |
transcript.pyannote[3477].end |
18002.41596875 |
transcript.pyannote[3478].speaker |
SPEAKER_10 |
transcript.pyannote[3478].start |
18003.31034375 |
transcript.pyannote[3478].end |
18004.39034375 |
transcript.pyannote[3479].speaker |
SPEAKER_10 |
transcript.pyannote[3479].start |
18005.35221875 |
transcript.pyannote[3479].end |
18006.76971875 |
transcript.pyannote[3480].speaker |
SPEAKER_36 |
transcript.pyannote[3480].start |
18007.91721875 |
transcript.pyannote[3480].end |
18012.91221875 |
transcript.pyannote[3481].speaker |
SPEAKER_10 |
transcript.pyannote[3481].start |
18012.91221875 |
transcript.pyannote[3481].end |
18016.16909375 |
transcript.pyannote[3482].speaker |
SPEAKER_36 |
transcript.pyannote[3482].start |
18019.00409375 |
transcript.pyannote[3482].end |
18020.08409375 |
transcript.pyannote[3483].speaker |
SPEAKER_10 |
transcript.pyannote[3483].start |
18020.30346875 |
transcript.pyannote[3483].end |
18026.20971875 |
transcript.pyannote[3484].speaker |
SPEAKER_20 |
transcript.pyannote[3484].start |
18021.24846875 |
transcript.pyannote[3484].end |
18021.60284375 |
transcript.pyannote[3485].speaker |
SPEAKER_20 |
transcript.pyannote[3485].start |
18021.70409375 |
transcript.pyannote[3485].end |
18022.42971875 |
transcript.pyannote[3486].speaker |
SPEAKER_20 |
transcript.pyannote[3486].start |
18022.49721875 |
transcript.pyannote[3486].end |
18022.98659375 |
transcript.pyannote[3487].speaker |
SPEAKER_10 |
transcript.pyannote[3487].start |
18026.63159375 |
transcript.pyannote[3487].end |
18030.32721875 |
transcript.pyannote[3488].speaker |
SPEAKER_10 |
transcript.pyannote[3488].start |
18032.40284375 |
transcript.pyannote[3488].end |
18041.48159375 |
transcript.pyannote[3489].speaker |
SPEAKER_10 |
transcript.pyannote[3489].start |
18042.02159375 |
transcript.pyannote[3489].end |
18043.43909375 |
transcript.pyannote[3490].speaker |
SPEAKER_04 |
transcript.pyannote[3490].start |
18043.94534375 |
transcript.pyannote[3490].end |
18044.72159375 |
transcript.pyannote[3491].speaker |
SPEAKER_05 |
transcript.pyannote[3491].start |
18044.72159375 |
transcript.pyannote[3491].end |
18045.02534375 |
transcript.pyannote[3492].speaker |
SPEAKER_10 |
transcript.pyannote[3492].start |
18045.02534375 |
transcript.pyannote[3492].end |
18045.97034375 |
transcript.pyannote[3493].speaker |
SPEAKER_05 |
transcript.pyannote[3493].start |
18045.97034375 |
transcript.pyannote[3493].end |
18045.98721875 |
transcript.pyannote[3494].speaker |
SPEAKER_05 |
transcript.pyannote[3494].start |
18046.49346875 |
transcript.pyannote[3494].end |
18046.52721875 |
transcript.pyannote[3495].speaker |
SPEAKER_10 |
transcript.pyannote[3495].start |
18046.52721875 |
transcript.pyannote[3495].end |
18046.96596875 |
transcript.pyannote[3496].speaker |
SPEAKER_05 |
transcript.pyannote[3496].start |
18046.96596875 |
transcript.pyannote[3496].end |
18047.03346875 |
transcript.pyannote[3497].speaker |
SPEAKER_10 |
transcript.pyannote[3497].start |
18047.03346875 |
transcript.pyannote[3497].end |
18047.37096875 |
transcript.pyannote[3498].speaker |
SPEAKER_05 |
transcript.pyannote[3498].start |
18047.37096875 |
transcript.pyannote[3498].end |
18047.38784375 |
transcript.pyannote[3499].speaker |
SPEAKER_05 |
transcript.pyannote[3499].start |
18048.11346875 |
transcript.pyannote[3499].end |
18049.73346875 |
transcript.pyannote[3500].speaker |
SPEAKER_05 |
transcript.pyannote[3500].start |
18050.45909375 |
transcript.pyannote[3500].end |
18050.49284375 |
transcript.pyannote[3501].speaker |
SPEAKER_10 |
transcript.pyannote[3501].start |
18050.49284375 |
transcript.pyannote[3501].end |
18051.72471875 |
transcript.pyannote[3502].speaker |
SPEAKER_10 |
transcript.pyannote[3502].start |
18052.14659375 |
transcript.pyannote[3502].end |
18055.62284375 |
transcript.pyannote[3503].speaker |
SPEAKER_38 |
transcript.pyannote[3503].start |
18055.99409375 |
transcript.pyannote[3503].end |
18056.04471875 |
transcript.pyannote[3504].speaker |
SPEAKER_10 |
transcript.pyannote[3504].start |
18056.04471875 |
transcript.pyannote[3504].end |
18060.68534375 |
transcript.pyannote[3505].speaker |
SPEAKER_10 |
transcript.pyannote[3505].start |
18060.93846875 |
transcript.pyannote[3505].end |
18062.74409375 |
transcript.pyannote[3506].speaker |
SPEAKER_10 |
transcript.pyannote[3506].start |
18062.99721875 |
transcript.pyannote[3506].end |
18066.60846875 |
transcript.pyannote[3507].speaker |
SPEAKER_10 |
transcript.pyannote[3507].start |
18067.16534375 |
transcript.pyannote[3507].end |
18067.60409375 |
transcript.pyannote[3508].speaker |
SPEAKER_05 |
transcript.pyannote[3508].start |
18067.60409375 |
transcript.pyannote[3508].end |
18067.97534375 |
transcript.pyannote[3509].speaker |
SPEAKER_10 |
transcript.pyannote[3509].start |
18067.97534375 |
transcript.pyannote[3509].end |
18068.00909375 |
transcript.pyannote[3510].speaker |
SPEAKER_05 |
transcript.pyannote[3510].start |
18068.00909375 |
transcript.pyannote[3510].end |
18068.21159375 |
transcript.pyannote[3511].speaker |
SPEAKER_10 |
transcript.pyannote[3511].start |
18068.21159375 |
transcript.pyannote[3511].end |
18068.26221875 |
transcript.pyannote[3512].speaker |
SPEAKER_05 |
transcript.pyannote[3512].start |
18068.88659375 |
transcript.pyannote[3512].end |
18074.60721875 |
transcript.pyannote[3513].speaker |
SPEAKER_10 |
transcript.pyannote[3513].start |
18071.26596875 |
transcript.pyannote[3513].end |
18079.28159375 |
transcript.pyannote[3514].speaker |
SPEAKER_10 |
transcript.pyannote[3514].start |
18079.80471875 |
transcript.pyannote[3514].end |
18081.23909375 |
transcript.pyannote[3515].speaker |
SPEAKER_10 |
transcript.pyannote[3515].start |
18082.55534375 |
transcript.pyannote[3515].end |
18084.25971875 |
transcript.pyannote[3516].speaker |
SPEAKER_10 |
transcript.pyannote[3516].start |
18084.74909375 |
transcript.pyannote[3516].end |
18085.89659375 |
transcript.pyannote[3517].speaker |
SPEAKER_10 |
transcript.pyannote[3517].start |
18086.35221875 |
transcript.pyannote[3517].end |
18086.85846875 |
transcript.pyannote[3518].speaker |
SPEAKER_10 |
transcript.pyannote[3518].start |
18087.09471875 |
transcript.pyannote[3518].end |
18088.09034375 |
transcript.pyannote[3519].speaker |
SPEAKER_10 |
transcript.pyannote[3519].start |
18088.47846875 |
transcript.pyannote[3519].end |
18092.56221875 |
transcript.pyannote[3520].speaker |
SPEAKER_10 |
transcript.pyannote[3520].start |
18093.74346875 |
transcript.pyannote[3520].end |
18094.65471875 |
transcript.pyannote[3521].speaker |
SPEAKER_10 |
transcript.pyannote[3521].start |
18094.85721875 |
transcript.pyannote[3521].end |
18097.05096875 |
transcript.pyannote[3522].speaker |
SPEAKER_10 |
transcript.pyannote[3522].start |
18097.40534375 |
transcript.pyannote[3522].end |
18098.97471875 |
transcript.pyannote[3523].speaker |
SPEAKER_10 |
transcript.pyannote[3523].start |
18099.10971875 |
transcript.pyannote[3523].end |
18100.29096875 |
transcript.pyannote[3524].speaker |
SPEAKER_10 |
transcript.pyannote[3524].start |
18101.50596875 |
transcript.pyannote[3524].end |
18102.68721875 |
transcript.pyannote[3525].speaker |
SPEAKER_10 |
transcript.pyannote[3525].start |
18103.15971875 |
transcript.pyannote[3525].end |
18104.29034375 |
transcript.pyannote[3526].speaker |
SPEAKER_10 |
transcript.pyannote[3526].start |
18104.99909375 |
transcript.pyannote[3526].end |
18106.95659375 |
transcript.pyannote[3527].speaker |
SPEAKER_30 |
transcript.pyannote[3527].start |
18109.18409375 |
transcript.pyannote[3527].end |
18109.26846875 |
transcript.pyannote[3528].speaker |
SPEAKER_30 |
transcript.pyannote[3528].start |
18109.53846875 |
transcript.pyannote[3528].end |
18114.51659375 |
transcript.pyannote[3529].speaker |
SPEAKER_10 |
transcript.pyannote[3529].start |
18116.47409375 |
transcript.pyannote[3529].end |
18116.76096875 |
transcript.pyannote[3530].speaker |
SPEAKER_10 |
transcript.pyannote[3530].start |
18117.52034375 |
transcript.pyannote[3530].end |
18119.49471875 |
transcript.pyannote[3531].speaker |
SPEAKER_10 |
transcript.pyannote[3531].start |
18121.60409375 |
transcript.pyannote[3531].end |
18123.61221875 |
transcript.pyannote[3532].speaker |
SPEAKER_36 |
transcript.pyannote[3532].start |
18123.84846875 |
transcript.pyannote[3532].end |
18132.01596875 |
transcript.pyannote[3533].speaker |
SPEAKER_10 |
transcript.pyannote[3533].start |
18124.62471875 |
transcript.pyannote[3533].end |
18124.99596875 |
transcript.pyannote[3534].speaker |
SPEAKER_10 |
transcript.pyannote[3534].start |
18132.08346875 |
transcript.pyannote[3534].end |
18135.91409375 |
transcript.pyannote[3535].speaker |
SPEAKER_10 |
transcript.pyannote[3535].start |
18137.09534375 |
transcript.pyannote[3535].end |
18140.92596875 |
transcript.pyannote[3536].speaker |
SPEAKER_05 |
transcript.pyannote[3536].start |
18138.36096875 |
transcript.pyannote[3536].end |
18138.51284375 |
transcript.pyannote[3537].speaker |
SPEAKER_05 |
transcript.pyannote[3537].start |
18138.64784375 |
transcript.pyannote[3537].end |
18139.94721875 |
transcript.pyannote[3538].speaker |
SPEAKER_05 |
transcript.pyannote[3538].start |
18140.60534375 |
transcript.pyannote[3538].end |
18141.01034375 |
transcript.pyannote[3539].speaker |
SPEAKER_05 |
transcript.pyannote[3539].start |
18141.21284375 |
transcript.pyannote[3539].end |
18147.76034375 |
transcript.pyannote[3540].speaker |
SPEAKER_10 |
transcript.pyannote[3540].start |
18147.50721875 |
transcript.pyannote[3540].end |
18161.81721875 |
transcript.pyannote[3541].speaker |
SPEAKER_00 |
transcript.pyannote[3541].start |
18155.80971875 |
transcript.pyannote[3541].end |
18155.87721875 |
transcript.pyannote[3542].speaker |
SPEAKER_05 |
transcript.pyannote[3542].start |
18155.87721875 |
transcript.pyannote[3542].end |
18155.92784375 |
transcript.pyannote[3543].speaker |
SPEAKER_00 |
transcript.pyannote[3543].start |
18155.92784375 |
transcript.pyannote[3543].end |
18155.94471875 |
transcript.pyannote[3544].speaker |
SPEAKER_10 |
transcript.pyannote[3544].start |
18162.67784375 |
transcript.pyannote[3544].end |
18164.12909375 |
transcript.pyannote[3545].speaker |
SPEAKER_10 |
transcript.pyannote[3545].start |
18165.14159375 |
transcript.pyannote[3545].end |
18169.95096875 |
transcript.pyannote[3546].speaker |
SPEAKER_05 |
transcript.pyannote[3546].start |
18169.95096875 |
transcript.pyannote[3546].end |
18174.08534375 |
transcript.pyannote[3547].speaker |
SPEAKER_05 |
transcript.pyannote[3547].start |
18174.92909375 |
transcript.pyannote[3547].end |
18175.23284375 |
transcript.pyannote[3548].speaker |
SPEAKER_36 |
transcript.pyannote[3548].start |
18176.19471875 |
transcript.pyannote[3548].end |
18188.56409375 |
transcript.pyannote[3549].speaker |
SPEAKER_10 |
transcript.pyannote[3549].start |
18188.27721875 |
transcript.pyannote[3549].end |
18189.86346875 |
transcript.pyannote[3550].speaker |
SPEAKER_36 |
transcript.pyannote[3550].start |
18190.42034375 |
transcript.pyannote[3550].end |
18196.30971875 |
transcript.pyannote[3551].speaker |
SPEAKER_10 |
transcript.pyannote[3551].start |
18191.26409375 |
transcript.pyannote[3551].end |
18191.66909375 |
transcript.pyannote[3552].speaker |
SPEAKER_36 |
transcript.pyannote[3552].start |
18196.56284375 |
transcript.pyannote[3552].end |
18208.12221875 |
transcript.pyannote[3553].speaker |
SPEAKER_10 |
transcript.pyannote[3553].start |
18206.11409375 |
transcript.pyannote[3553].end |
18214.33221875 |
transcript.pyannote[3554].speaker |
SPEAKER_10 |
transcript.pyannote[3554].start |
18214.45034375 |
transcript.pyannote[3554].end |
18238.44659375 |
transcript.pyannote[3555].speaker |
SPEAKER_05 |
transcript.pyannote[3555].start |
18233.48534375 |
transcript.pyannote[3555].end |
18233.51909375 |
transcript.pyannote[3556].speaker |
SPEAKER_05 |
transcript.pyannote[3556].start |
18233.60346875 |
transcript.pyannote[3556].end |
18233.85659375 |
transcript.pyannote[3557].speaker |
SPEAKER_05 |
transcript.pyannote[3557].start |
18238.44659375 |
transcript.pyannote[3557].end |
18242.09159375 |
transcript.pyannote[3558].speaker |
SPEAKER_10 |
transcript.pyannote[3558].start |
18238.51409375 |
transcript.pyannote[3558].end |
18239.62784375 |
transcript.pyannote[3559].speaker |
SPEAKER_10 |
transcript.pyannote[3559].start |
18240.91034375 |
transcript.pyannote[3559].end |
18246.02346875 |
transcript.pyannote[3560].speaker |
SPEAKER_05 |
transcript.pyannote[3560].start |
18244.20096875 |
transcript.pyannote[3560].end |
18244.65659375 |
transcript.pyannote[3561].speaker |
SPEAKER_20 |
transcript.pyannote[3561].start |
18244.65659375 |
transcript.pyannote[3561].end |
18244.89284375 |
transcript.pyannote[3562].speaker |
SPEAKER_20 |
transcript.pyannote[3562].start |
18245.39909375 |
transcript.pyannote[3562].end |
18245.61846875 |
transcript.pyannote[3563].speaker |
SPEAKER_20 |
transcript.pyannote[3563].start |
18245.93909375 |
transcript.pyannote[3563].end |
18245.97284375 |
transcript.pyannote[3564].speaker |
SPEAKER_20 |
transcript.pyannote[3564].start |
18246.02346875 |
transcript.pyannote[3564].end |
18246.88409375 |
transcript.pyannote[3565].speaker |
SPEAKER_10 |
transcript.pyannote[3565].start |
18246.88409375 |
transcript.pyannote[3565].end |
18246.95159375 |
transcript.pyannote[3566].speaker |
SPEAKER_10 |
transcript.pyannote[3566].start |
18247.23846875 |
transcript.pyannote[3566].end |
18247.25534375 |
transcript.pyannote[3567].speaker |
SPEAKER_20 |
transcript.pyannote[3567].start |
18247.25534375 |
transcript.pyannote[3567].end |
18249.95534375 |
transcript.pyannote[3568].speaker |
SPEAKER_20 |
transcript.pyannote[3568].start |
18250.63034375 |
transcript.pyannote[3568].end |
18255.13596875 |
transcript.pyannote[3569].speaker |
SPEAKER_20 |
transcript.pyannote[3569].start |
18255.65909375 |
transcript.pyannote[3569].end |
18259.30409375 |
transcript.pyannote[3570].speaker |
SPEAKER_20 |
transcript.pyannote[3570].start |
18259.72596875 |
transcript.pyannote[3570].end |
18273.07409375 |
transcript.pyannote[3571].speaker |
SPEAKER_20 |
transcript.pyannote[3571].start |
18273.41159375 |
transcript.pyannote[3571].end |
18275.99346875 |
transcript.pyannote[3572].speaker |
SPEAKER_20 |
transcript.pyannote[3572].start |
18277.02284375 |
transcript.pyannote[3572].end |
18280.38096875 |
transcript.pyannote[3573].speaker |
SPEAKER_20 |
transcript.pyannote[3573].start |
18280.87034375 |
transcript.pyannote[3573].end |
18286.48971875 |
transcript.pyannote[3574].speaker |
SPEAKER_20 |
transcript.pyannote[3574].start |
18287.60346875 |
transcript.pyannote[3574].end |
18305.20409375 |
transcript.pyannote[3575].speaker |
SPEAKER_20 |
transcript.pyannote[3575].start |
18305.81159375 |
transcript.pyannote[3575].end |
18307.61721875 |
transcript.whisperx[0].start |
1716.829 |
transcript.whisperx[0].end |
1722.479 |
transcript.whisperx[0].text |
出席委員已足法定人數現在開會請議事人員宣讀上次會議的議事錄 |
transcript.whisperx[1].start |
1726.175 |
transcript.whisperx[1].end |
1748.955 |
transcript.whisperx[1].text |
立法院第11屆第2會期交通委員會第12次全體委員會議議事錄時間113年11月28日星期四上午9時1分至下午1時41分地點本院紅樓201會議室出席委員林國成等15人列席委員賴世保等19人列席官員行政院公共工程委員會主任委員曾經的及國家通訊傳播委員會主任秘書黃文哲等 |
transcript.whisperx[2].start |
1749.535 |
transcript.whisperx[2].end |
1768.913 |
transcript.whisperx[2].text |
主席曾召集委員數月報告四項宣讀上次會議議事錄決定議事錄確定討論四項一至四審查114年度中央政府總預算案關於行政面供工程委員會國家通訊傳播委員會單位預算通訊傳播監督管理基金預算有限廣播電視事業發展基金預算 |
transcript.whisperx[3].start |
1769.949 |
transcript.whisperx[3].end |
1799.404 |
transcript.whisperx[3].text |
五、審查113年度關於國家通訊傳播委員會預算凍結書面報告案及二案本日會議由行政院公共工程委員會主任委員曾經得及國家通訊傳播委員會主任秘書黃文哲報告後既有委員林國成等22人提出質詢軍警主任委員曾經得主任秘書黃文哲及相關人員分別予以答覆決議依報告及詢答完畢二委員王洪威所提書面質詢列入紀錄並刊登公報 |
transcript.whisperx[4].start |
1800.205 |
transcript.whisperx[4].end |
1820.719 |
transcript.whisperx[4].text |
三、委員於諮詢中要求提供相關書面資料或未及答覆部分請相關機關建樹以書面答覆自第一案至第四案均另折其進行處理委員預算提案於12月16日星期一中午12時截止收件五、第五案另折其進行處理通過臨時提案已向上會宣讀完畢 |
transcript.whisperx[5].start |
1822.381 |
transcript.whisperx[5].end |
1849.461 |
transcript.whisperx[5].text |
好的,業縮錄我們待會再確定現在介紹在場的列席人員首先是我們數位發展部黃彥男部長我們自己給自己掌聲打氣一下第二位我們數位策略師蔡壽泉市長蔡市長任性建設師鄭明忠市長資源管理師牛信仁市長好的 |
transcript.whisperx[6].start |
1850.979 |
transcript.whisperx[6].end |
1870.791 |
transcript.whisperx[6].text |
數位政府司王承明司長數位國際司莊盈智司長資料創新司莊明芬司長以及主計處李錫東處長秘書處陳仲山處長資訊處周志和處長 |
transcript.whisperx[7].start |
1883.052 |
transcript.whisperx[7].end |
1911.446 |
transcript.whisperx[7].text |
人事處莫永榮處長政風處陳春信處長以及法治處張學文處長接下來是資通安全署謝翠娟署長謝署長好謝謝以及我們數位產業署林俊秀代理署長署長要代理多久 |
transcript.whisperx[8].start |
1917.731 |
transcript.whisperx[8].end |
1929.427 |
transcript.whisperx[8].text |
國家自動安全研究院何全德院長行政院主計總署公預算處檢驗視察李培元視察 |
transcript.whisperx[9].start |
1931.069 |
transcript.whisperx[9].end |
1954.741 |
transcript.whisperx[9].text |
好以上是今天的列席人員本次會議進行第一邀請數位發展部部長黃彥男列席報告業務概況及立法計畫第二114年度數位發展部單位預算審查詢答的部分好好那我們現在就請我們書發部黃部長針對業務概況的報告立法計畫及預算一併說明 |
transcript.whisperx[10].start |
1960.998 |
transcript.whisperx[10].end |
1961.34 |
transcript.whisperx[10].text |
請。 |
transcript.whisperx[11].start |
1971.176 |
transcript.whisperx[11].end |
1996.05 |
transcript.whisperx[11].text |
主席各位委員大家好今天應邀列席會委員會報告本部114年施政計畫及預算編列的情形深感榮幸感謝各位委員對本部各項業務的支持跟指教以下僅就113年的預算執行期型跟114年的施政計畫重點預算編列的情形分別報告如下請看簡報這是簡報大綱請參考下一頁 |
transcript.whisperx[12].start |
2000.974 |
transcript.whisperx[12].end |
2016.95 |
transcript.whisperx[12].text |
上任之後就有三個施政理念那就是一個就是我們要推動打詐工作強化數位韌性跟發展數位經濟那目標是希望能夠配合賴總統數位政策建立一個科技智慧島數位新社會下一張 |
transcript.whisperx[13].start |
2019.059 |
transcript.whisperx[13].end |
2040.433 |
transcript.whisperx[13].text |
打詐的工作我們在9月底到10月中有做一次網路詐騙通報查詢網的公測那公測結果在到11月目前還在公測中有12000多人次在測試中那目前有看到通報的次數是48648則的通報那裡面有15211則因為確認之後就要求業者下架 |
transcript.whisperx[14].start |
2048.899 |
transcript.whisperx[14].end |
2061.386 |
transcript.whisperx[14].text |
從這裡面的結果我們看到這個偽冒名人的詐騙廣告從過去最高一個禮拜有38139折到目前大概降到2117折那金融詐騙廣告從過去最高77484折到現在下降到4636折也就下降都90%以上 |
transcript.whisperx[15].start |
2071.151 |
transcript.whisperx[15].end |
2092.979 |
transcript.whisperx[15].text |
我們預計從這個使用者的feedback我們預計12月底會有推出個新的測試版本在下一頁那為了防詐我們有推動了一些策略那這邊就簡單的說明我們有銀碼的技術的推動電子簽贓法的三讀通過那第三方支付的帳號的查詢的平台也建立了個RPG的機制來阻詐那這個機制從112年到113年我們總共阻掉 |
transcript.whisperx[16].start |
2098.101 |
transcript.whisperx[16].end |
2120.669 |
transcript.whisperx[16].text |
阻止了60534件的詐騙網頁我們有提供政府端碼簡訊服務商業檢碼服務還有防詐鎖卡平台防詐鎖卡平台主要是針對遊戲點數的詐騙目前這個成效也是從過去一個月1600件左右下降到現在大概是100件左右再下一頁 |
transcript.whisperx[17].start |
2122.028 |
transcript.whisperx[17].end |
2148.693 |
transcript.whisperx[17].text |
那另外一個重要工作是建構多元益子的安全的應變網路那這裡面有三個工作一個就是我們要建設海陸空應變網路這裡面包括掛中低軌衛星的服務那第二個是要提升網通傳網路的防護的能量那這裡面我們有在這個在我們的這個NCCSC的一個專案這個一個機構裡面我們有分享了143萬筆的治安情資 |
transcript.whisperx[18].start |
2152.194 |
transcript.whisperx[18].end |
2168.274 |
transcript.whisperx[18].text |
我們也審查了投國的資通訊的設備有24款第三個工作是普及網路建設在11年到113年我們總共補助協助了15354座的5G基地台的部件涵蓋人口大概97.99%再下一頁 |
transcript.whisperx[19].start |
2172.162 |
transcript.whisperx[19].end |
2199.553 |
transcript.whisperx[19].text |
另外一個重要工作是我們要簽章規劃數位通傳資源確保符合公共利益這裡面包括第一個工作是規劃釋出次世代無限寬頻那這裡面我們有審查的已經審查了事件的這個衛星頻譜的申請案那還有一件正在審查中那第二個工作是我們要管理跟提升電信資源使用效益那剛剛有講過我們在偏鄉的人口涵蓋率目前通行涵蓋率超過95%以上 |
transcript.whisperx[20].start |
2201.634 |
transcript.whisperx[20].end |
2212.243 |
transcript.whisperx[20].text |
第三個是我們要促進網路網際網路健全發展那這個這個包括我們RPG剛剛有提過我們RPG主詐的裝置的機制已經阻止了60534件的詐騙的網頁再下一頁 |
transcript.whisperx[21].start |
2218.058 |
transcript.whisperx[21].end |
2239.964 |
transcript.whisperx[21].text |
在下一個重要工作是我們要調適我國的治安法規那這裡面包括我們在7月12號我們推動知痛安全管理法的修法在7月12號由立法院一度通過那這裡面重要的工作是我們要強化特定非公務機關的治安的要求跟擴大集合的範圍那下一個工作是我們要這個要定 |
transcript.whisperx[22].start |
2240.964 |
transcript.whisperx[22].end |
2241.524 |
transcript.whisperx[22].text |
在下一個工作是我們下頁 |
transcript.whisperx[23].start |
2257.558 |
transcript.whisperx[23].end |
2270.346 |
transcript.whisperx[23].text |
我們要強化國家資安防護特別是要精進資安聯防機制跟關鍵基礎CI的治理作為我們發布了126萬筆的資安情質威脅也攔阻了1324萬的可疑的所謂的電子郵件當然這個也包括很多的這個資安事件的諮詢那我們 |
transcript.whisperx[24].start |
2283.234 |
transcript.whisperx[24].end |
2298.393 |
transcript.whisperx[24].text |
目前每個月攔阻對我們政府的網際網路跟所謂的關鍵基礎建設的資安的供給每個月超過13億次也就是說每天有超過我們每天要攔阻5000萬次左右的一個供給這個給各位參考下一頁 |
transcript.whisperx[25].start |
2303.513 |
transcript.whisperx[25].end |
2321.916 |
transcript.whisperx[25].text |
那我們要發展治安的人力生態培養治安的人才那這個人才是一個很重要的一個我們要發展的目標那我們有治安的職人訓練預計要培養2000人次那我們會在設立治安的考科那會推廣一些教育的訓練然後發展職人的難途再下一頁 |
transcript.whisperx[26].start |
2323.442 |
transcript.whisperx[26].end |
2344.145 |
transcript.whisperx[26].text |
我們要進行數位政府數位服務要讓這個要進行數位任性巡航健檢那這個我們在113年盤點的是三項的系統的背景的資訊總共執行了39項政府機關資訊系統數位巡航健檢那已經完成了所有39項的巡航工作在下一頁 |
transcript.whisperx[27].start |
2345.735 |
transcript.whisperx[27].end |
2373.107 |
transcript.whisperx[27].text |
在下一個題目就是我們要發展數位經濟那像是經濟裡面特別是我們要投普協作加強投資AI新創我們匡列了100億元的國發基金來預計來協助AI產業的發展那這裡面我們會搭配AI數位產業相關的輔導政策提供全方位的輔導體系推動AI及數位產業規模化及國際化的發展在下一頁 |
transcript.whisperx[28].start |
2374.281 |
transcript.whisperx[28].end |
2394.362 |
transcript.whisperx[28].text |
那我們同時要推動產業AI化跟AI產業化的目標是要匯集人才技術產業能量發展AI智慧生態為主軸帶動產業從小企業從小為企業生技轉型創新經濟回應社會的要求並實現匯普科技的價值在下一頁 |
transcript.whisperx[29].start |
2396.107 |
transcript.whisperx[29].end |
2420.233 |
transcript.whisperx[29].text |
現在的中共說是我們要推動資安產業跟強化產業的資安的防護這裡面推動資安產業包括技術研發跟海外的擴銷那另外就是強化資安產業的防護特別是我們協助訂定了Semi-E187這是一個全球第一個半導體設備資安的標準那我們也做了29家這個資安的評級然後 |
transcript.whisperx[30].start |
2424.394 |
transcript.whisperx[30].end |
2425.355 |
transcript.whisperx[30].text |
進行113年也進行了370家治安的評級在下一頁 |
transcript.whisperx[31].start |
2433.077 |
transcript.whisperx[31].end |
2457.118 |
transcript.whisperx[31].text |
接下來的工作就是我們要落實AI人才的培育建設或是產業的發展基礎那我們人才在我們有就業金卡有600張已經發了600張就業金卡另外我們訓練各個產業業者所需要的AI人才跟數位轉型的人才我們就招募訓練了567個青年作為所謂的數位青年替代在下一頁 |
transcript.whisperx[32].start |
2459.417 |
transcript.whisperx[32].end |
2480.688 |
transcript.whisperx[32].text |
再來就是我們要促進資料的發展打造資料創新的金融生態那這裡面我們從open data我們已經有5萬筆的資料集讓民眾下載那我們也推動所謂的買data的服務然後能夠再提供有條件的在線上做護照的身換跟金融服務的線上申辦再來 |
transcript.whisperx[33].start |
2483.308 |
transcript.whisperx[33].end |
2498.443 |
transcript.whisperx[33].text |
在下一頁工作是我們要活化各自數據的應用建構數據公益創新生態主要工作是我們要開創數據共享的一個信任的環境促進社會公益利益及社會創新在下一頁 |
transcript.whisperx[34].start |
2500.579 |
transcript.whisperx[34].end |
2520.285 |
transcript.whisperx[34].text |
接下來我們要建立分散式數位信任的生態系。這裡面主要的目的是我們要打造一個能夠降低數位足跡的可信任的平正的生態。這裡面工作包括公司的協力、跨部位建設裡面包括推動所謂的數位皮夾公共建設計畫跟全球協作來推動這樣的一個數位生態系。 |
transcript.whisperx[35].start |
2522.998 |
transcript.whisperx[35].end |
2533.732 |
transcript.whisperx[35].text |
公民科技工作就是我們要打造一個數位信任的生態機的一個方法那這裡面有包括推動公共城市那辦理公民科技的試驗場域跟擴展我國國際的輸出 |
transcript.whisperx[36].start |
2537.176 |
transcript.whisperx[36].end |
2554.608 |
transcript.whisperx[36].text |
以上是我們的一些政策的一些目前的施政重點那關於預算的部分這邊再跟各位委員做個報告在113年的預算執行部分稅務部分113年預算執行到10月底累計分配預算數是25.41億元累計執行數是24.7億元執行率是97.21% |
transcript.whisperx[37].start |
2559.111 |
transcript.whisperx[37].end |
2565.965 |
transcript.whisperx[37].text |
稅促的部分113年預算值截到10月底累積分配預算是16.97億元累積執行數是14.8億元執行率是87.21% |
transcript.whisperx[38].start |
2571.857 |
transcript.whisperx[38].end |
2588.63 |
transcript.whisperx[38].text |
114年施政重點是為了落實建構輸任平權、任性永續、自由多元、創新成長的數位台灣的數位政策目標並扣合落實國家希望工程的五打七安、數位安全、創新經濟等尚未的政策藍圖以積極 |
transcript.whisperx[39].start |
2590.892 |
transcript.whisperx[39].end |
2603.326 |
transcript.whisperx[39].text |
強化打仗,強化數位韌性,發展數位經濟的數位三件為核心的施政重點,重新調適數位施政的框架,達到新力跟防弊的雙重效果。 |
transcript.whisperx[40].start |
2606.722 |
transcript.whisperx[40].end |
2615.488 |
transcript.whisperx[40].text |
114年預算編列情況以下報告稅務部分114年稅務編列是24.6億元較上年預算25.4億元減少了0.8億元約減少了3.19%主要是檢列各項頻率及電信號碼使用的會有的收入 |
transcript.whisperx[41].start |
2624.894 |
transcript.whisperx[41].end |
2642.812 |
transcript.whisperx[41].text |
稅促部分114年稅促編列33.33億元較上年度預算27.93億元增加5.4億元約增加19.3億%主要用在增略運用MOCN技術建置雲端合網提升行動寬頻行動網路韌性計畫有4.19億元 |
transcript.whisperx[42].start |
2647.316 |
transcript.whisperx[42].end |
2651.618 |
transcript.whisperx[42].text |
新增維運精進衛星緊急應變網證驗證計畫有1.6億元新增AI網路主動式防禦關鍵技術研究計畫有0.96億元檢驗數位創新關鍵基礎建設計畫有1.4億元最後一頁 |
transcript.whisperx[43].start |
2664.744 |
transcript.whisperx[43].end |
2678.184 |
transcript.whisperx[43].text |
本部114年預算案系配合政府整體施政目標.秉持臨機預算精神.並衡量各項計畫輕重緩急.優先順序排列.信信可畏委員.鼎力支持謝謝 |
transcript.whisperx[44].start |
2681.738 |
transcript.whisperx[44].end |
2704.14 |
transcript.whisperx[44].text |
好 這個謝謝部長部長能不能這個剛剛報告的這個的部分啊針對於很多的業務的還有預算的那現在大家比較關心啊你們內部的一個管理的風格這個對於所有同仁啊員工啊是不是有一些這個不平等不公平還是誤會啊你這個部分要怎麼清查你能不能一併說明一下 |
transcript.whisperx[45].start |
2707.276 |
transcript.whisperx[45].end |
2718.126 |
transcript.whisperx[45].text |
主席還有各位委員那個我們在昨天已經啟動外部調查委員會那預計在12月11號以前會有調查報告那我們會秉公處理毋忘誤重該調動就調動該處理就處理 |
transcript.whisperx[46].start |
2722.17 |
transcript.whisperx[46].end |
2749.921 |
transcript.whisperx[46].text |
那不過我也這邊跟委員報告就是我們剛剛講我們每天要攔阻五千萬的網路供給我們是治安的一級戰區所以同仁的壓力也相當的大所以這次調動也讓我們了解我們可能要做內部的這些所謂的訓練包括領導統一的訓練還有溝通的訓練讓我們以後在工作之際上雖然有這麼大的壓力還能夠順利的進行不需要有這種霸凌或凌遲或是一種不合理的一種行為發生謝謝委員 |
transcript.whisperx[47].start |
2752.418 |
transcript.whisperx[47].end |
2752.578 |
transcript.whisperx[47].text |
議長鄭明忠 |
transcript.whisperx[48].start |
2775.958 |
transcript.whisperx[48].end |
2783.502 |
transcript.whisperx[48].text |
來報告一下如何清查你的市裡面的一些霸凌的一個情況還是清查到什麼階段來做個說明好不好現在這你的室內重要的業務嗎要不做個說明不是啊那個市長沒有辦法說明沒有我要你報告是10月20號 |
transcript.whisperx[49].start |
2802.096 |
transcript.whisperx[49].end |
2828.213 |
transcript.whisperx[49].text |
我們的行政院院長就鞠躬道歉為了勞發署的事件當場要求各部會進行全面的清查這件事情還是你們根本都任何什麼動作都沒有那沒關係如果10月20日到現在兩個禮拜我不是在講昨天的事啊這兩個禮拜你們各單位到清查的結果如何市長說明一下好不好 |
transcript.whisperx[50].start |
2838.029 |
transcript.whisperx[50].end |
2838.99 |
transcript.whisperx[50].text |
請坐,大家都請坐,有難言之隱,這個可以自證清白的一個機會,你為什麼不用呢? |
transcript.whisperx[51].start |
2854.124 |
transcript.whisperx[51].end |
2870.953 |
transcript.whisperx[51].text |
好,那我們這個資安署署長我們一個是一個署啦齁,署長來說明一下齁,你們到目前為止這個針對於裡面院長交代的霸凌事件的一個清查目前我們在資安署裡面有什麼樣的作為? |
transcript.whisperx[52].start |
2884.652 |
transcript.whisperx[52].end |
2895.082 |
transcript.whisperx[52].text |
報告委員其實專屬一直以來都有那個員工輔導但是專屬的確工作壓力很大所以我也整個清了一下專屬現在的員工就是整個從專屬成立以來到現在整個的離職率 |
transcript.whisperx[53].start |
2900.475 |
transcript.whisperx[53].end |
2914.68 |
transcript.whisperx[53].text |
那也跟委員報告我們總共有42個人其實其中有21個人是到民間那其他還有10個人他是其他回到原單位就是他原來的單位可能他的工作壓力沒有那麼大他比較能適應 |
transcript.whisperx[54].start |
2915.78 |
transcript.whisperx[54].end |
2920.424 |
transcript.whisperx[54].text |
我們現在數出來其他人是覺得有調到錢比較多雖然是平調可是那個單位的錢比較多或者是離家比較近他可以跟家人一起照顧他的孩子我們現在離職的原因大部分是這樣目前為止有大概四個八個 |
transcript.whisperx[55].start |
2936.579 |
transcript.whisperx[55].end |
2936.819 |
transcript.whisperx[55].text |
委員會委員會委員會 |
transcript.whisperx[56].start |
2960.731 |
transcript.whisperx[56].end |
2966.679 |
transcript.whisperx[56].text |
考試跟行政檢查因為資安署的人都必須經過特殊調查那經過這些調查之後他合格了嘛我就給聘書結果呢銀行馬上每個月加1萬就挖走所以一個禮拜內就挖走了所以我們是的確有還蠻艱鉅的 |
transcript.whisperx[57].start |
2977.313 |
transcript.whisperx[57].end |
3002.431 |
transcript.whisperx[57].text |
工作量跟蠻大的工作壓力那也外面很喜歡我們啊所以我們現在的動作是第一個想想看怎麼讓同仁的壓力稍微少一點那我當然也會真的努力看看可不可以去爭取資安的部分可以有一些比如說績效獎金啊或者是其他的加給可以讓他們願意從事資安的工作那當然我也會辦教育訓練那委員說的萬一 |
transcript.whisperx[58].start |
3007.008 |
transcript.whisperx[58].end |
3027.275 |
transcript.whisperx[58].text |
同仁壓力大那溝通上可能彼此的聲音有點大的話那這個部分剛剛部長講了我們必須要做員工的溝通的訓練那我們也會有長期因為我們也已經訂了那個霸凌的相關的頭就是投訴機構跟制度24小時接受同仁的 |
transcript.whisperx[59].start |
3028.095 |
transcript.whisperx[59].end |
3056.192 |
transcript.whisperx[59].text |
申請但是不是這一段時間的流行是之前我們就知道壓力很大所以我們一直就有員工的業批的相關的輔導那我們當然希望我們的工作環境是可以稍微不要壓力那麼大但自然是救災嗎有些時候真的是無法等就是時間來了事情來了我們就得做這一塊是兩難也請各位委員能夠盡量支持我們可以訓練員工然後可以有比較好的機會 |
transcript.whisperx[60].start |
3057.754 |
transcript.whisperx[60].end |
3083.956 |
transcript.whisperx[60].text |
爭取更多的人跟所有人的那個加級可以請委員再支持。謝謝委員。好的。署長至少願意上來講。我覺得是真的不錯啦。不過不要一直講訓練員工。員工要訓練了。就是霸凌事件通常是有權利的這一方好不好。就主管怎麼樣去主管的這個部分我覺得你們要去關注啦。順市長要不要上來說明一下。不用齁。好。我想這個 |
transcript.whisperx[61].start |
3086.654 |
transcript.whisperx[61].end |
3105.107 |
transcript.whisperx[61].text |
處長嘛齁我最後一個問題了齁因為待會所有的委員大概訊息我幫你問一下齁那個還是署長12月底之前那你們這個人事處去做了什麼霸凌的調查嗎目前有沒有就在那邊講就好了都清查好了嗎齁 |
transcript.whisperx[62].start |
3112.278 |
transcript.whisperx[62].end |
3120.843 |
transcript.whisperx[62].text |
在這個環境因為我們還是必須要處理 |
transcript.whisperx[63].start |
3125.697 |
transcript.whisperx[63].end |
3149.196 |
transcript.whisperx[63].text |
有些工作資安的議題我還是必須立刻處理所以不能就是不會因為有壓力就不處理但是我會希望能夠比如說爭取一些比較好的人力或者是相關的預算資源來讓大家減緩這個但人事處的確是我們自己有啟動然後人事處也啟動而且我們也有訂了條款讓大家投訴 |
transcript.whisperx[64].start |
3149.876 |
transcript.whisperx[64].end |
3163.512 |
transcript.whisperx[64].text |
謝謝署長那最後人事處你都站這麼久了說明一下你舉例說明你目前調查的結果以我們治安署跟我們的任性司你調查的一個員工的普查有沒有發現任何的一些問題請說明 |
transcript.whisperx[65].start |
3171.379 |
transcript.whisperx[65].end |
3187.165 |
transcript.whisperx[65].text |
跟張偉報告那就真的這個部分我們一接到那個通報我們就成立那個專業小組進行相關的這個跟那個張偉報告 |
transcript.whisperx[66].start |
3189.298 |
transcript.whisperx[66].end |
3204.728 |
transcript.whisperx[66].text |
就是行政院有交代的我們第一個我們就是去修改這個規定讓這個我們本部的那個職場霸凌的規定更完整跟各部會是一樣的這個做法所以你之前做了什麼調查嗎你看署長多棒啊人情都做給你啊你之前做什麼調查沒有調查還有結果啦因為11月20號 |
transcript.whisperx[67].start |
3216.252 |
transcript.whisperx[67].end |
3238.087 |
transcript.whisperx[67].text |
11月20日院長震怒局工道歉總統也道歉這樣還不夠嗎要求各部會清查清查到現在昨天發生另外一個事件之前至少12天的時間那你說你是主管單位我就講說你針對於這些事這些數你在清查的過程中沒有這個能力能夠事前假設發現有些問題嗎 |
transcript.whisperx[68].start |
3240.871 |
transcript.whisperx[68].end |
3267.749 |
transcript.whisperx[68].text |
所以之前還沒有昨天有報告記者會出來你才開始啟動嗎我們針對有那個確實的這個情形我們都會立即邀請外部的這個學者專家包括法律跟心理諮商的進行相關的這個調查所以你們自己沒有內部發現問題的一個能力好請坐好 |
transcript.whisperx[69].start |
3270.134 |
transcript.whisperx[69].end |
3278.747 |
transcript.whisperx[69].text |
接下來我們先確認一下議事錄對今天議事錄有沒有意見沒有意見議事錄確定 |
transcript.whisperx[70].start |
3280.629 |
transcript.whisperx[70].end |
3301.843 |
transcript.whisperx[70].text |
接下來我們進行合併的詢答先宣告以下事項第一詢答時間出席委員6加2分鐘列席委員4加1分鐘第二委員發言登記於10點30分截止本委員會除外第三各委員會如有臨時提案請於10點前提出以便議事人員會診 |
transcript.whisperx[71].start |
3302.944 |
transcript.whisperx[71].end |
3311.251 |
transcript.whisperx[71].text |
第四暫定10點30分休息10分鐘第五中午原則上不休息現在我們就有請登記第一位林佩祥委員發言有請黃部長好黃部長 |
transcript.whisperx[72].start |
3333.547 |
transcript.whisperx[72].end |
3362.467 |
transcript.whisperx[72].text |
委員長在你這份報告這個預算收支預算報告的第3頁有講到一句話就是說這個提升整體通訊網路韌性裡面包括保障國民之數位人權那我想請問一下最基本的網路上的禮儀算不算數位人權啊網路上的禮儀啊就是說你寫的字啊用這個用詞用字是不是應該算是算是人權的一種 |
transcript.whisperx[73].start |
3363.847 |
transcript.whisperx[73].end |
3366.168 |
transcript.whisperx[73].text |
你覺得這樣算不算霸凌你覺得這樣算不算霸凌 |
transcript.whisperx[74].start |
3391.328 |
transcript.whisperx[74].end |
3418.465 |
transcript.whisperx[74].text |
部長請你聽到這句話如果你是我的下屬你會不會覺得像霸凌這是網路上喔因為我們知道網路上驚嘆號表示很氣憤才會用驚嘆號你覺得算不算網路霸凌就是這個剛剛有講過像這種情緒的這是一個長官因為我們是如果有一天如果您是用這種語氣混蛋加驚嘆號直接命令你下面的下屬 |
transcript.whisperx[75].start |
3419.586 |
transcript.whisperx[75].end |
3435.752 |
transcript.whisperx[75].text |
他們感受就是這樣喔這是不是所以我們這樣我說我看到這個保障國民數位人權的時候我就很好奇說那我們的數發部有沒有把我們的基層工作人員當作一般的勞工還是說我們數發部的基層工作人員就沒有所謂的數位人權嗎 |
transcript.whisperx[76].start |
3437.788 |
transcript.whisperx[76].end |
3465.266 |
transcript.whisperx[76].text |
當然委員這個就是我剛剛講說我們在這個事前我們在做進步調查那調查結果很快就會出來那我們會採取適當措施沒有錯就是我剛剛講說工作壓力下情況工作壓力很大情況下也不能夠對在情緒上做任何的這個發洩所以這個的訓練中所以我剛剛特別強調我也跟我的同仁講我們要有那個那我想請問一下這邊有個關鍵的東西我因為我知道這個報告的時候我想請問一下什麼叫打岔啊 |
transcript.whisperx[77].start |
3466.769 |
transcript.whisperx[77].end |
3467.329 |
transcript.whisperx[77].text |
請問打X什麼意思?您知道嗎? |
transcript.whisperx[78].start |
3482.799 |
transcript.whisperx[78].end |
3502.412 |
transcript.whisperx[78].text |
這是你們部裡面發生的事情你是最高主管你也知道以企業來講一向都最高主管完全完全掌控完全負責對吧我原理的資訊我都完全了解那那個您的這個是那請問什麼是打叉您是我的資訊完全了解那請問什麼是打叉打叉是什麼直接扣烤雞嗎是不是這個這個是不是直接一烤雞來做威脅 |
transcript.whisperx[79].start |
3503.933 |
transcript.whisperx[79].end |
3523.447 |
transcript.whisperx[79].text |
請部長回答yes or no還是我不知道 or I don't know這個就是我剛剛講就是說需要內部給我調查報告其實那個很多的那個剛剛講就是我還是回到那個原則就是徐署長請問您知道這個狀況嗎請問您知道打叉是什麼意思嗎打叉動不動一個叉兩個叉三個叉五燈獎啊 |
transcript.whisperx[80].start |
3525.642 |
transcript.whisperx[80].end |
3541.115 |
transcript.whisperx[80].text |
請問打叉什麼意思?是考級直接降一級嗎?還是一個什麼懲處之類的嗎?你有掌握這個狀況嗎?趙偉跟委員報告齁那個部分我們會列入專案小組的那個調查我們等於雙方的這個當事人都甚至是說我也很好奇啦齁 |
transcript.whisperx[81].start |
3542.416 |
transcript.whisperx[81].end |
3558.505 |
transcript.whisperx[81].text |
週末例假各科都有事然後科長48個小時沒宵沒席再打一個叉那想請問一下基層公務人員有沒有勞基法的保障啊那基層公務人員48小時待命週末48小時待命會不會違反勞基法啊沒宵沒席就要打叉沒宵沒席就要考基屬問是不是?額市處處長請問你知道這狀況嗎? |
transcript.whisperx[82].start |
3571.409 |
transcript.whisperx[82].end |
3591.19 |
transcript.whisperx[82].text |
就這個部分我們會利用專案小組調查你們千萬不要給我寫個什麼利益良善的東西出來喔不好不會你們千萬不要寫個利益良善的東西出來喔謝謝委員提醒不然話說真的不是只有我今天會看到會生氣喔所有人都會生氣喔 |
transcript.whisperx[83].start |
3593.154 |
transcript.whisperx[83].end |
3615.948 |
transcript.whisperx[83].text |
我這是很在議事廳在議事殿堂裡面直接質詢每一個都有每一個都有逐字稿的記錄那這件事情不能就這樣了之是如果這邊跟我講說數位人權四個字數位人權四個字然後我們基層公務員都不被尊重基層公務員最基本的網路用詞這種混蛋打岔胡搞 |
transcript.whisperx[84].start |
3617.742 |
transcript.whisperx[84].end |
3638.331 |
transcript.whisperx[84].text |
那我還不知道說我們這個數發部連最基本的數位人權說我們要保障國民的數位人權還要打詐我不知道這個該怎麼講我不知道這該從何講起所以我認為部長您現在就是想法就因為我從資安署到這邊一路看過來四個字關關相互啊 |
transcript.whisperx[85].start |
3639.389 |
transcript.whisperx[85].end |
3665.562 |
transcript.whisperx[85].text |
周委已經很客氣特地把這件事情讓你們這種主促長出來講可是你們現在給我的態度就是沒關係我們等調查委員報告出來之後我們再想辦法大事化小小事化我們偷過去對吧不會大事小小事化我們不會嗎不會不會這邊講的話大家全部人都看著喔全部媒體都在看著喔對我知道就是我們根據調查報告我們會做適當的處理那如果你是主管你是現在最高主管你認為你該不該道歉發生這麼大風波應不應該道歉 |
transcript.whisperx[86].start |
3665.982 |
transcript.whisperx[86].end |
3693.795 |
transcript.whisperx[86].text |
我為我所有同仁道歉是應該道歉因為這個確實是我督導不周讓他發生這樣的事情但是我也講說這個事情本身我們先調查報告我們還是等調查報告出來再做適當的補充部長至少你肯說為你的同仁黨來說出道歉這點我給你肯定因為很多人是不願意道歉我特別跟同仁講就是說我們部的工作很重但是我們要有愛的教育鐵的紀律鐵的紀律還是要有再來其實部長我還有另外一個議題也是很重要的 |
transcript.whisperx[87].start |
3694.875 |
transcript.whisperx[87].end |
3723.593 |
transcript.whisperx[87].text |
其實這個跟你比較無關啦其實這個案子現在這個案子跟上個案子其實跟你都是你是主管所以你要完全負責包括111現在已經老實講這是唐鳳部長留下來的東西可是我覺得這比較像是一個自我自嗨的這個所謂的Safe Guard自己保護自己有自我感覺良好的Safe Guard111防詐號碼知道吧那其實老實講媒體上面報的很大我們花了1200萬但是實質上我們有沒有保護到我們直接的人 |
transcript.whisperx[88].start |
3725.235 |
transcript.whisperx[88].end |
3742.21 |
transcript.whisperx[88].text |
這個是因為剛才講那個假冒的基地戰那個是對2G的這個對可是部長這就是尷尬的地方如果大家寧願用2G就可以破解幾十萬不到五十萬的設備就可以破解我們剛開始初期1200萬所以說他是直接去跟所謂的末端使用者直接去touch |
transcript.whisperx[89].start |
3751.138 |
transcript.whisperx[89].end |
3762.508 |
transcript.whisperx[89].text |
變成是說我們隨時隨地只要有一台50萬左右的機器我們只要一個犯罪集團隨便到鬧區掃一掃就可能掃到這些這些釣魚檢訊就繼續發送不然我們111的檢訊之外而且這111的檢訊還是我們國家花大錢去官方認證的有效檢訊他們不是這個沒有錯111防詐平台沒有被破解 |
transcript.whisperx[90].start |
3776.3 |
transcript.whisperx[90].end |
3804.154 |
transcript.whisperx[90].text |
但是他們直接略過防炸平台假冒成111這一樣嚴重啊對那個所以就是說這個有幾個做法一個就是說我們當然有那個本來就通訊檢查就會去偵測這種訊號所以是抓到人但是另外一點就是說這個建議訊裡面都有些網址特別要強調如果不是點gov.tw這種網址千萬不要點所以就是說有雙重防護一種是11一種是因為這個案子其實已經發生像這樣的案件 |
transcript.whisperx[91].start |
3804.554 |
transcript.whisperx[91].end |
3805.815 |
transcript.whisperx[91].text |
所以這個有防護的措施我們現在加強防護沒問題 |
transcript.whisperx[92].start |
3821.108 |
transcript.whisperx[92].end |
3850.568 |
transcript.whisperx[92].text |
其實我們前我諮詢過的時候你也跟我提過我們正在做是所謂的零信任網路零信任網路解決方案那我想知道說到目前為止這零信任網路解決方案目前進度是怎麼樣我們現在已經有這個預計年底會有大概47個A級機關都會導入零信任網路所以當然我們會逐步的擴充但是這個零信任網路是很重要的一個防護的措施我們是極力推動那希望當然就資安法通過之後我們能夠加強對不管是CI或者是地方政府也推動零信任網路 |
transcript.whisperx[93].start |
3850.828 |
transcript.whisperx[93].end |
3851.568 |
transcript.whisperx[93].text |
接下來有請林國成委員發言 |
transcript.whisperx[94].start |
3886.226 |
transcript.whisperx[94].end |
3889.949 |
transcript.whisperx[94].text |
好謝謝召委請黃部長黃部長好來部長早委員好我從來沒有看到我們沛翔委員這麼生氣的嚇我一跳這個最主要我特別要提醒當部長的人當長官的人 |
transcript.whisperx[95].start |
3915.987 |
transcript.whisperx[95].end |
3941.306 |
transcript.whisperx[95].text |
一定要特別去注意任何事情尊重三分如果你不尊重整個文官體制那文官體制雖承受不了他就會認知為霸凌那我今天特別要來請教我們部長也就是在11月29號 |
transcript.whisperx[96].start |
3944.52 |
transcript.whisperx[96].end |
3955.967 |
transcript.whisperx[96].text |
第19屆資安機能金頓獎致詞的時候你特別提到說每一年你我們貴單位 |
transcript.whisperx[97].start |
3959.602 |
transcript.whisperx[97].end |
3981.543 |
transcript.whisperx[97].text |
要任用五千個人所以這個你聽我講完我這裡必須要提醒施政不能靠口號不能隨便亂開支票人家說太不正啊還正好歪所以你會開這種空頭支票那底下的人有用 |
transcript.whisperx[98].start |
3986.517 |
transcript.whisperx[98].end |
4007.652 |
transcript.whisperx[98].text |
所以才會造成現在賴總統卓院長都跟全國人民來道歉這個霸凌的問題當然是整個這種緩緩相扣所以柏林來你11月29號有沒有講你要任用資安人員在貴部 |
transcript.whisperx[99].start |
4008.012 |
transcript.whisperx[99].end |
4034.172 |
transcript.whisperx[99].text |
議員8 |
transcript.whisperx[100].start |
4034.912 |
transcript.whisperx[100].end |
4049.88 |
transcript.whisperx[100].text |
因為部長你要知道我真尊敬他 故意人不能亂講話所以我坦白講 你看連你到外面支持我們都非常注意你可以去發現到 立法委員不是縮架 |
transcript.whisperx[101].start |
4050.981 |
transcript.whisperx[101].end |
4069.974 |
transcript.whisperx[101].text |
議員8 |
transcript.whisperx[102].start |
4070.134 |
transcript.whisperx[102].end |
4099.434 |
transcript.whisperx[102].text |
由其主管數位所有產花、發展的跟監督的業務的情況之下一個所長講出來的話是涵蓋整個部裡面所有的政策所以這個要特別因為如果是誤解那也就誤解連我就覺得不可能做到的啊因為一年我們治安所有的學生畢業也只不過是一萬七千人你們就可以網羅五千個人 |
transcript.whisperx[103].start |
4100.755 |
transcript.whisperx[103].end |
4111.182 |
transcript.whisperx[103].text |
這些是有所出入的所以我希望部長這個以後在外面的政策當然要謹言慎行不要讓人家產生這個誤解那就不好嘛其實我坦白跟你講我上一次對整個你們兩署的東西也就是 |
transcript.whisperx[104].start |
4126.994 |
transcript.whisperx[104].end |
4152.513 |
transcript.whisperx[104].text |
低薪福利差加班費砍掉這個我是不以為然的那在這個部分我必須要去提醒到現在你們都沒有去解釋為什麼為什麼所以你們可以看113年跟114年拜託你們的加班費兩項獎金也好加班費也好都是遞減加班費遞減27%那獎金 |
transcript.whisperx[105].start |
4158.007 |
transcript.whisperx[105].end |
4176.803 |
transcript.whisperx[105].text |
這個部分我還是要提醒部長對我們公務人員也不要那麼刻薄但是他有一定的加班跟一定的這些獎金的制度所以部長你特別特別要提醒一下要注意這些 |
transcript.whisperx[106].start |
4180.135 |
transcript.whisperx[106].end |
4194.16 |
transcript.whisperx[106].text |
我現在又要講霸凌的事我請問一下我們論信管理還有我們資安署有你主管這些你們到底現在調查到什麼程度 |
transcript.whisperx[107].start |
4196.772 |
transcript.whisperx[107].end |
4221.765 |
transcript.whisperx[107].text |
我們啟動調查以後就外部專家委員包括心理諮商室跟律師那這個報告會在12月11號以前出來那我們會根據這個報告的結果做立即處置這個是我們目前在進行中好啦 伯弟我跟你講現在花生中央部會確確實實有很多部會啦那當然我們也是民內在內啦所以我還是要提醒部長真的 |
transcript.whisperx[108].start |
4223.045 |
transcript.whisperx[108].end |
4250.988 |
transcript.whisperx[108].text |
關了殺人是非常重要不信事情不要再發生因為我一向都非常尊敬你是從業界來你是一個看起來就是溫溫如牙我希望這個事情除了你的政策管好你這些人員還是要去管好好不好好那我現在就特別要跟來那個那個我們那個 |
transcript.whisperx[109].start |
4252.579 |
transcript.whisperx[109].end |
4257.382 |
transcript.whisperx[109].text |
主席處處長來上來協助一下來好來主席處長部長你也要在啊因為我執行是執行你來我在想齁三年來 |
transcript.whisperx[110].start |
4274.232 |
transcript.whisperx[110].end |
4298.211 |
transcript.whisperx[110].text |
我們徵購機房徵購機房這裡面就包括在一般行政資訊管理跟設備投資編列總共的預算4000多萬然後連續三年加起來7600萬也就是購置機房我真的很納悶 |
transcript.whisperx[111].start |
4299.926 |
transcript.whisperx[111].end |
4323.572 |
transcript.whisperx[111].text |
你這個機房每一年購置你到底目的何在?你是在養黃金喔?還是在挖礦?現在很流行挖礦是不是把這個機房全部擺在那裡挖礦你知道嗎?部長挖礦就是說機房很多就要挖挖挖挖挖挖不然你們為什麼連續三年7600萬都是在購置機房來部長你說一下那個 |
transcript.whisperx[112].start |
4330.983 |
transcript.whisperx[112].end |
4333.531 |
transcript.whisperx[112].text |
這我要請那個我們主席處長來好來處長你說明為什麼報告委員齁那 |
transcript.whisperx[113].start |
4338.755 |
transcript.whisperx[113].end |
4362.107 |
transcript.whisperx[113].text |
司法部的資訊他是一部兩署是共用的他並不會在部裡面不是我講的是我講的是購置機房啦其他的部分不要講為什麼會這樣啊因為機房是等於三個機關共用一個機房所以他必須比較大一點那因為現在我們的系統也蠻多需要做整合包括 |
transcript.whisperx[114].start |
4363.548 |
transcript.whisperx[114].end |
4378.1 |
transcript.whisperx[114].text |
對外面的所以必須就是會陸續來徵購這個機房這個機房你每年都購買機房那這個購買機房你們現在是都是用租的嘛那為什麼人員有成長這麼大嗎 |
transcript.whisperx[115].start |
4379.801 |
transcript.whisperx[115].end |
4408.367 |
transcript.whisperx[115].text |
我跟你講部長我坦白跟你講你也編列預算也不會這麼細啦我希望本席提出來的問題你們好好解釋因為我看出來就是不正常就是不是在我養網金就是在挖礦啊不然你們也每一年為什麼都要編幾千萬去購置這種機房所以這個部分部長你要把它當成一回事你不要到時候我把這些預算全部刪了你不能怪我因為我是理性問政 |
transcript.whisperx[116].start |
4409.628 |
transcript.whisperx[116].end |
4428.847 |
transcript.whisperx[116].text |
該給的我一定給但是你像現在處長所講的這樣我是不能接受的你要好好的去把它列出來為什麼連續三年連續三年甚至於你把那個相片都照來我認為是一個事實是有必要那當然我們要支持啊我們一向我坦白跟你講 |
transcript.whisperx[117].start |
4429.988 |
transcript.whisperx[117].end |
4457.03 |
transcript.whisperx[117].text |
現在的立法委員他是非常理性的啦該給的一定給啦不該給的一定刪啦所以這一點我希望部長能夠了解一下還有來那個處長我再請問一下另外支通安全的防疫計畫還有潤性強化計畫以及數位資深生態防護推動總共編 |
transcript.whisperx[118].start |
4459.874 |
transcript.whisperx[118].end |
4487.391 |
transcript.whisperx[118].text |
一億兩千萬請問一下啊這個項目都不是一樣嗎啊為什麼要編都同同樣是這樣啊然後編編這個預算所以處長你也不要跟我答覆那為什麼會這樣你也不要答覆實體下你來解釋我認為有理由那沒話講但是這個整個部分在我們翻這些資料你們都不寫清楚啊 |
transcript.whisperx[119].start |
4488.251 |
transcript.whisperx[119].end |
4488.791 |
transcript.whisperx[119].text |
還有最後一個 |
transcript.whisperx[120].start |
4509.488 |
transcript.whisperx[120].end |
4522.759 |
transcript.whisperx[120].text |
最後一個系統開花業務都不變喔 處長 業務不變喔 部長但是為何增加今年增加149萬7千塊為什麼你的系統開花業務為什麼 處長 為什麼這個是資訊處處長簡單回答 |
transcript.whisperx[121].start |
4536.96 |
transcript.whisperx[121].end |
4563.863 |
transcript.whisperx[121].text |
跟委員報告就是因為我們的公用系統是向上集中到我們部會來那我們的這些公用系統包含官網、EIP跟供應系統這些功能的話就是每年要做一些功能的徵修對所以會有一些系統開發好我要拜託齁銀端黃火軟體這不是買過了嗎去年不是買過了為什麼一買再買呢為什麼為什麼那個是每年的收權費 |
transcript.whisperx[122].start |
4566.495 |
transcript.whisperx[122].end |
4588.546 |
transcript.whisperx[122].text |
現在原端大概都是採一年授權一次所以每年都要採每年授權好那個系統開發增加的部分我也希望你們講清楚該有理由的我們不絕對支持但是沒有理由的部長請原諒我們該砍的一定砍這是本黨已經很清楚的告訴所有只要 |
transcript.whisperx[123].start |
4589.406 |
transcript.whisperx[123].end |
4590.386 |
transcript.whisperx[123].text |
接下來請李昆哲委員發言 |
transcript.whisperx[124].start |
4625.107 |
transcript.whisperx[124].end |
4651.428 |
transcript.whisperx[124].text |
謝謝昭偉請一下黃部長黃部長治安署謝署長謝署長產業署林代理署長來林代理署長部長我剛才聽了一下治安署啊謝署長在備詢台上面有說明治安署啊他認為的確是工作壓力很大那從治安署成立到現在啊謝署長說大概有42個人離職 |
transcript.whisperx[125].start |
4653.689 |
transcript.whisperx[125].end |
4667.986 |
transcript.whisperx[125].text |
其中有21個人是到民間公司還有10個人回到工作壓力沒有那麼大的原單位那其他的人因為薪資的問題或是離家比較近的問題選擇平調 |
transcript.whisperx[126].start |
4671.41 |
transcript.whisperx[126].end |
4697.148 |
transcript.whisperx[126].text |
所以現在離職謝署長認為說只有8個人是覺得工作壓力太大不適應治安署所以請調到別的單位所以整個離職率謝署長說以不適應來說大概只有0.4%那我請問一下部長你認為治安署這個離職率到底是多少來說明一下 |
transcript.whisperx[127].start |
4699.369 |
transcript.whisperx[127].end |
4726.272 |
transcript.whisperx[127].text |
我這邊拿到的數字就大概就是以今年來講大概有24個人離職那但是比例上來講就是剛剛講就是中間有很多原因有在剛剛就是署長解釋的那當然我還是認為說這個這裡面因為治安署的工作真的是過重然後這個那個怎麼樣去調配人力跟未來部長離職率就是以42個人來做計算啦 |
transcript.whisperx[128].start |
4727.165 |
transcript.whisperx[128].end |
4749.357 |
transcript.whisperx[128].text |
您們說只有8個人是因為工作壓力的問題所以來離開或者是請掉這樣是粉飾太平這是第一第二我看這個產業署跟治安署相關的這個離職狀況其實我有初步的去了解相關的離職率的問題那其實我一開始看到 |
transcript.whisperx[129].start |
4750.632 |
transcript.whisperx[129].end |
4772.348 |
transcript.whisperx[129].text |
資安署跟產業署提供給我的資料看來這個工作狀況還算穩定但是我仔細的再去看相關的資料我就覺得不對因為如果用離職率跟離職人數來回推我看產業署跟資安署的在職人數應該是在300人以上 |
transcript.whisperx[130].start |
4773.41 |
transcript.whisperx[130].end |
4793.948 |
transcript.whisperx[130].text |
但是我看你們的預算原額卻只有150至165之間部長這又是粉飾太平為了說離職率要好看一點所以把這個原額從150把它擴大這個分母成為300以上來說明一下 |
transcript.whisperx[131].start |
4796.289 |
transcript.whisperx[131].end |
4823.554 |
transcript.whisperx[131].text |
報告委員這個我看的不是那個number我看的是離子人數所以我剛剛特別講說我看的是人數所以他那個離子率的計算這個我覺得這個計算是的確是一個問號不過我重要看的是剛剛每個數的離子人數大概是有兩種計算的公式一種是期末的載子人數加上期間的離子人數或者是 |
transcript.whisperx[132].start |
4824.554 |
transcript.whisperx[132].end |
4847.528 |
transcript.whisperx[132].text |
其初在職人數加上期末在職人數除以二這應該是一個基本的功能不過部長我已經講得很明白了從治安署謝署長剛才所說明的42個人的離職他只用8個人來作為一個計算的基礎這是不對的這是欺騙社會大眾我認為不可取 |
transcript.whisperx[133].start |
4848.248 |
transcript.whisperx[133].end |
4868.474 |
transcript.whisperx[133].text |
第二相關的數位署還有資安署相關的離職率的這個計算也是粉飾太平這個你要嚴加的督促了好那我們現在來回到相關的這個推動本土繁體中文AI模型這個議題來請教一下這個部長就是說我們現在的 |
transcript.whisperx[134].start |
4874.756 |
transcript.whisperx[134].end |
4898.045 |
transcript.whisperx[134].text |
該案關的中文模型基本上是以英文加上簡體中文來作為一個計算的一個基礎那對於我們繁體中文來說相關的環境數據模型相關的產業的政策以及科技的發展區域的合作以及相關的對於 |
transcript.whisperx[135].start |
4900.06 |
transcript.whisperx[135].end |
4905.204 |
transcript.whisperx[135].text |
新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞 |
transcript.whisperx[136].start |
4919.996 |
transcript.whisperx[136].end |
4943.452 |
transcript.whisperx[136].text |
報告委員對於這個資料的應用的部分我們過往有那個開放資料的一個處理所以在過往10年來講我們開放資料總有5萬多筆那依據我們做台德的訓練來講它其實有三分之一的這個資料量大概是使用開放資料那這個部分我們當然會持續努力那再來就是擴充的部分我們近期有人會找相關的部會就中文語料的部分來對於這個資格財產權 |
transcript.whisperx[137].start |
4945.794 |
transcript.whisperx[137].end |
4948.336 |
transcript.whisperx[137].text |
市長,我要簡單的來詢問你們因為推動本土繁體中文AI模型是一個很重要未來科技發展的一個重要基礎 |
transcript.whisperx[138].start |
4962.609 |
transcript.whisperx[138].end |
4986.362 |
transcript.whisperx[138].text |
我們必須要降低對於外國技術或服務的依賴要強化我們自己臺灣本土的實力推動發展跟普及我看我們TWNIC就是臺灣網路資訊中心2024的臺灣網路報告雖然使用CHAP GPT的人口逐漸增加但是使用者比例大概集中於40歲以下 |
transcript.whisperx[139].start |
4987.142 |
transcript.whisperx[139].end |
5013.695 |
transcript.whisperx[139].text |
獲獲獲獲獲獲獲獲獲獲獲獲獲獲獲 |
transcript.whisperx[140].start |
5013.835 |
transcript.whisperx[140].end |
5039.17 |
transcript.whisperx[140].text |
是推動本土繁體中文AI模型的一大優勢也是國際合作的一個亮點那這對於提升我們的國家自主性跟國家競爭力也是一個重要的方向那台灣在語言文化的自主性數據安全的方面如果沒有做好這個AI繁體中文的這樣的一個重要的基礎的話我們會喪失主導權 |
transcript.whisperx[141].start |
5042.392 |
transcript.whisperx[141].end |
5068.661 |
transcript.whisperx[141].text |
另外我看南韓南韓有成立這個市中學堂的改革方案部長應該知道了他們建置AI的i市中學堂的一個平台作為推廣韓語的一個前哨站他們在世界各地設立伺服器讓學員能夠更方便學習韓語那我們數話部何時會跟進 |
transcript.whisperx[142].start |
5072.463 |
transcript.whisperx[142].end |
5096.321 |
transcript.whisperx[142].text |
我們對本國的技術有沒有信心來保證你講一下那我們有自己訓練的模型那至於說這個教育的推廣這一部分我們會會去看看怎麼去最後跟其他部會共同合作這是一個重要的未來的建制的方向沒錯那另外我們也要滿足我們在地的模型在地的需求來促進數位的平等因為 |
transcript.whisperx[143].start |
5097.827 |
transcript.whisperx[143].end |
5118.659 |
transcript.whisperx[143].text |
本土AI模型我認為它不只是技術的議題更是文化保存的一個問題本土的AI模型它更能掌握我們台灣特有的這樣一個社會文化的背景而且對於語言障礙的群體教育程度較低及高齡人口來說是特別重要的 |
transcript.whisperx[144].start |
5120.516 |
transcript.whisperx[144].end |
5133.869 |
transcript.whisperx[144].text |
國際AI大廠這些巨頭他們的AI模型他們是有強大的技術能力但是他們對於這些語言文化的掌握還是不足對於繁體中文的這個環境還是不足 |
transcript.whisperx[145].start |
5135.643 |
transcript.whisperx[145].end |
5150.475 |
transcript.whisperx[145].text |
我們的本土自己AI模型能夠深入的去捕捉這一些語言的細節然後能夠解決在國際工具使用中因為識別錯誤或表達不準的這一些問題 |
transcript.whisperx[146].start |
5151.616 |
transcript.whisperx[146].end |
5171.275 |
transcript.whisperx[146].text |
部長你有注意到這些嗎所以才說我們要推動主權的AI我們要有自己的AI的model跟自己的那個那我們用現在已經在跟我們有跟國科會在合作在訓練像台德的一些模型的訓練那希望有些本土的話就是回應剛剛委員的那個部長另外 |
transcript.whisperx[147].start |
5172.216 |
transcript.whisperx[147].end |
5189.925 |
transcript.whisperx[147].text |
像這種AI的模型他很重要就是AI的語言助理他能夠進一步強化對母語對方言的一些理解那也能夠為高齡者語言障礙的群體或是偏鄉居民來提供便利 |
transcript.whisperx[148].start |
5191.266 |
transcript.whisperx[148].end |
5218.502 |
transcript.whisperx[148].text |
我們數位部有沒有類似的AI的這種助理工具有沒有去朝這個方面去推動來保定你講一下我們有那個一些平台的設像AIBOT像這樣的計畫在進行希望提供一些工具給政府部門使用以外也給民眾使用那這個有在規劃中保定你對推動這一些AI的本土模型你有沒有什麼具體的目標 |
transcript.whisperx[149].start |
5220.081 |
transcript.whisperx[149].end |
5240.151 |
transcript.whisperx[149].text |
我們是希望短期、中期、長期你們有一個具體的目標我一個簡單的建議短期的目標一至兩年要建立本土繁體中文的語料庫然後開發針對特定領域的AI模型的原型然後推出分眾的AI素養課程 |
transcript.whisperx[150].start |
5241.232 |
transcript.whisperx[150].end |
5256.834 |
transcript.whisperx[150].text |
那中期目標3至5年要建立具有國際競爭力的本土AI模型然後要形成完整的AI人才的培育體系建立AI的倫理治理的一個框架長期目標5至10年 |
transcript.whisperx[151].start |
5257.515 |
transcript.whisperx[151].end |
5280.663 |
transcript.whisperx[151].text |
要成為華語AI技術的全球標竿然後輸出台灣AI技術跟治理的相關的經驗然後還要建立具有國際影響力的AI生態系統針對我的建議來部長說明一下你的意見跟看法委員建議很好那我們在把我們這個未來推動的政策跟那個計畫看能不能朝這個目標來努力 |
transcript.whisperx[152].start |
5282.779 |
transcript.whisperx[152].end |
5310.539 |
transcript.whisperx[152].text |
這個部長要全力的督促數位部從成立到現在從之前的唐鳳部長到現在的黃部長其實我都跟你們有討論過相關的數位部相關的文官的體系行政的程序內部的文化的建立因為數位部是新成立的一個部會他從各部會調集人馬到 |
transcript.whisperx[153].start |
5312.445 |
transcript.whisperx[153].end |
5336.815 |
transcript.whisperx[153].text |
這個數位部來成立那唐部長是非常有創意的人但是他對行政體系文官體系不是那麼理解那黃部長也來自產業民間所以你相關的行政體系的建立內部文化尊重公務員尊重專業建立效率的這樣的一個未來的數位產業一個重要的部會 |
transcript.whisperx[154].start |
5337.915 |
transcript.whisperx[154].end |
5337.955 |
transcript.whisperx[154].text |
謝謝李委員 |
transcript.whisperx[155].start |
5368.223 |
transcript.whisperx[155].end |
5370.965 |
transcript.whisperx[155].text |
接下來請陳淑月召委發言謝謝主席請主席要請黃部長還有資安署署長謝署長委員長 |
transcript.whisperx[156].start |
5392.616 |
transcript.whisperx[156].end |
5419.074 |
transcript.whisperx[156].text |
部長早安現在是一個科技的時代網路的時代所以我們也知道現在的消費習慣已經很習慣很多人尤其是年輕的族群都很習慣用這個電子支付了那我們看一下就是說這個根據統計目前就是說有幾個這個就是電子支付的包括接口支付還有一卡通全支付全音配 |
transcript.whisperx[157].start |
5419.394 |
transcript.whisperx[157].end |
5439.65 |
transcript.whisperx[157].text |
議員8 |
transcript.whisperx[158].start |
5439.65 |
transcript.whisperx[158].end |
5455.794 |
transcript.whisperx[158].text |
議員8 |
transcript.whisperx[159].start |
5455.934 |
transcript.whisperx[159].end |
5480.796 |
transcript.whisperx[159].text |
未來這個使用的人應該也會越來越多照這個趨勢來說很多可是我們現在也發現就是說這樣子的一個網路的就是電子支付的一個使用習慣如果說在被駭客入侵或者是各自外洩的時候可能也會面臨很大的一個威脅危險那因為我們看到其實在 |
transcript.whisperx[160].start |
5481.357 |
transcript.whisperx[160].end |
5501.357 |
transcript.whisperx[160].text |
議員. |
transcript.whisperx[161].start |
5501.457 |
transcript.whisperx[161].end |
5501.637 |
transcript.whisperx[161].text |
﹚立法院第11屆第12會議 |
transcript.whisperx[162].start |
5517.25 |
transcript.whisperx[162].end |
5532.116 |
transcript.whisperx[162].text |
那本席在最近就接到了兩個個案就是最近才發生的在上個禮拜跟昨天上個禮拜接到一個個案他的狀況就是陳情民眾他來陳情就是說他在17號禮拜天的時候他發現說他的LiPay少了15000元然後他就在 |
transcript.whisperx[163].start |
5540.92 |
transcript.whisperx[163].end |
5565.629 |
transcript.whisperx[163].text |
就趕快去查就是用他的手機去查因為他目前就是他的帳戶銀行帳戶是蠻多的然後他有行動銀行的其實只有兩家就是新光銀行跟新展銀行然後其中新光銀行有綁這個LiPay跟接口支付然後他去就是說透過那個客服就是 |
transcript.whisperx[164].start |
5566.149 |
transcript.whisperx[164].end |
5574.534 |
transcript.whisperx[164].text |
新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞 |
transcript.whisperx[165].start |
5591.564 |
transcript.whisperx[165].end |
5592.404 |
transcript.whisperx[165].text |
新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞新聞 |
transcript.whisperx[166].start |
5609.45 |
transcript.whisperx[166].end |
5627.828 |
transcript.whisperx[166].text |
被轉了81十一萬那他後來他禮拜一又趕快去林桂去查詢他相關的一些銀行他發現說他的合作金庫也被轉出了二十萬聯邦銀行也被轉出二十萬那富邦銀行也被轉了二十萬中國的銀行也被轉出十八萬多 |
transcript.whisperx[167].start |
5629.43 |
transcript.whisperx[167].end |
5644.348 |
transcript.whisperx[167].text |
就是說然後他後來在21號的時候他去分局我們地方警察局分局做筆錄的時候做筆錄的當下他又接到新展銀行打電話去跟他確認說他是不是有在申請網路貸款 |
transcript.whisperx[168].start |
5646.591 |
transcript.whisperx[168].end |
5664.523 |
transcript.whisperx[168].text |
所以這個是這個個案的整個過程那昨天又有一個民眾陳秦他的合作金庫的帳戶也是短短的一天的時間就轉出了28筆然後每一筆就是7000多就是固定的金額就是7030就是28 |
transcript.whisperx[169].start |
5667.244 |
transcript.whisperx[169].end |
5685.589 |
transcript.whisperx[169].text |
﹏﹏ |
transcript.whisperx[170].start |
5685.809 |
transcript.whisperx[170].end |
5713.459 |
transcript.whisperx[170].text |
他被轉出去的帳戶是轉到他自己已經很久沒有用的其中一個銀行就是台新銀行他說他從104年那時候他餘額已經只剩100多塊所以他也沒結清就放到現在結果他的新光銀行的錢是被轉到台新銀行去然後再從台新銀行轉到接口支付全銀配台新配就是這樣轉出去然後錢就不見了 |
transcript.whisperx[171].start |
5715.28 |
transcript.whisperx[171].end |
5742.412 |
transcript.whisperx[171].text |
他這個個案有幾個問題一點就是說他只申請了LiPay跟接口支付可是歹徒竟然可以幫他申請了全支付、全銀Pay、支付寶還有這個台灣Pay、Google Pay等等所以在這個部分是不是我們在這個整個這個治安上我們要怎樣去防堵啊 |
transcript.whisperx[172].start |
5744.282 |
transcript.whisperx[172].end |
5765.389 |
transcript.whisperx[172].text |
報告委員這個通常的問題是帳號密碼被偷了是那帳號密碼被偷所以現在講就是說像我個人也是一樣現在一定要用多因子認證就是說我轉帳或是銀行的存一定要經過多因子就是說可能要送再確認不管是用生物辨識或者是用那個所謂的這個簡訊再確認你要輸進一個簡訊的密碼才能轉帳這個一定要捨不然的話現在帳號密碼它這個問題它這個過程還有一個問題就是說 |
transcript.whisperx[173].start |
5773.712 |
transcript.whisperx[173].end |
5794.994 |
transcript.whisperx[173].text |
可能歹徒在申請他的什麼就是電子支付的時候可能有驗證碼可是驗證碼也被歹徒攔截了所以驗證碼就是通常會收到你個人的手機號碼對他就是收不到結果他發現他說他事後發現他的手機的許多功能都被設定成關閉所以這等於是歹徒可以隔空操作他的手機 |
transcript.whisperx[174].start |
5795.975 |
transcript.whisperx[174].end |
5808.822 |
transcript.whisperx[174].text |
對所以驗證嘛就說剛剛講就說這個可能最好還是用生物辨識就是說你那個指紋跟臉部辨識是最理想說多因之症裡面生物特徵是最最安全那再來才是簡訊不過 |
transcript.whisperx[175].start |
5810.703 |
transcript.whisperx[175].end |
5835.958 |
transcript.whisperx[175].text |
的確沒錯,就是說現在載圖要偷這個帳號密碼的管道還蠻多的包括下載APP包括在有時候是這個網路這個比如說這個公司的這個被這個資安做得不好會被入侵這個都所以現在都不能想就是說還是要回復到自己就是說這個可能我們在很多方面可能要教育民眾就是在這個方面一定要用一些比較安全的方式來做多因子認證來讓自己的 |
transcript.whisperx[176].start |
5837.139 |
transcript.whisperx[176].end |
5837.619 |
transcript.whisperx[176].text |
對,所以就是說在這個 |
transcript.whisperx[177].start |
5853.439 |
transcript.whisperx[177].end |
5882.927 |
transcript.whisperx[177].text |
﹏﹏ |
transcript.whisperx[178].start |
5882.927 |
transcript.whisperx[178].end |
5908.336 |
transcript.whisperx[178].text |
議員8 |
transcript.whisperx[179].start |
5908.356 |
transcript.whisperx[179].end |
5929.889 |
transcript.whisperx[179].text |
好那就是包括說這個民眾他反映說其實他很多銀行都都是約定就是不轉帳就是沒有轉帳功能的然後都被開通了所以我覺得這樣子的狀況真的是讓民眾覺得會非常的擔憂還有包括就是說冒名就是貸款因為他沒有辦貸款 |
transcript.whisperx[180].start |
5931.15 |
transcript.whisperx[180].end |
5948.976 |
transcript.whisperx[180].text |
還好這個信財銀行有打去確認打電話給本人確認不然的話他也可能會莫名其妙就背負了這個債務也都不知道了那接下來本期要就是關心的就是說因為這個就是涉及到這個治安的一個問題那我們看到明年114年度的預算裡面我們在預算科目民主網路之連結與創新 |
transcript.whisperx[181].start |
5957.619 |
transcript.whisperx[181].end |
5981.051 |
transcript.whisperx[181].text |
這個科目下的數位創新關鍵基礎建設計畫總經費是7.8億就是分4年執行那在今年度就是已經有編列了3億3年3億多然後明年度是1.9億這個部分主要就是要執行這個所謂的數位皮夾就是分散式數位身份證證與授權系統 |
transcript.whisperx[182].start |
5983.492 |
transcript.whisperx[182].end |
6004.159 |
transcript.whisperx[182].text |
那這個就是那不是剛剛講的那個案子那兩個這個個案我就是聯想到這個我們要執行這樣的計畫未來就是說我們如果說來實施這個數位皮夾那我們把我們的資料就是說都放在這個數位皮夾裡面那萬一被害了那怎麼辦那不是非常的 |
transcript.whisperx[183].start |
6005.219 |
transcript.whisperx[183].end |
6029.331 |
transcript.whisperx[183].text |
就是剛剛有委員講說我們數位皮夾第一個機制就是看起來你可能要用生物辨識才能進入這個皮夾就是說這裡面的資料都是經過加密而且經過蠻完整的像PKI的加密但是你要拿到這個私鑰你一定要有這個要有個機制不是只有不是只有這個password不是只有那個ID跟password是應該會建議說你會有一些所謂的指紋或臉相辨識 |
transcript.whisperx[184].start |
6030.532 |
transcript.whisperx[184].end |
6044.938 |
transcript.whisperx[184].text |
那這樣的話就可以保護就算你的資料被拿走因為他沒辦法破密所以他也沒辦法拿到裡面的一些認證那這個是我們在推的時候我們會特別注意就是說怎麼去保護在數位評價裡面的資料的安全這是一個很重要的一個議題 |
transcript.whisperx[185].start |
6045.758 |
transcript.whisperx[185].end |
6046.179 |
transcript.whisperx[185].text |
數位皮夾與數位身分證有什麼區別? |
transcript.whisperx[186].start |
6061.491 |
transcript.whisperx[186].end |
6062.851 |
transcript.whisperx[186].text |
數位評價經過好幾層的加密加上生物辨識它的安全性會高很多 |
transcript.whisperx[187].start |
6081.977 |
transcript.whisperx[187].end |
6107.79 |
transcript.whisperx[187].text |
所以這個單這個技術面就是因為過去這幾年技術也在研發也在研進所以這時候因為很多國家已經在退數位皮夾所以我們也是參考國際的一些標準然後希望這個東西將來是變也就是希望將來身分證、健保卡等等卡片可以駕照都可以在你的手機裡面所以就不用帶那麼多證件去辦任何手續啊這個單是一個目標這個計畫的目的在這裡 |
transcript.whisperx[188].start |
6108.524 |
transcript.whisperx[188].end |
6133.357 |
transcript.whisperx[188].text |
好,我們知道科技在進步那歹徒作案的說法是真的是與時俱進所以我們也要非常慎重的去就是說包括這些計畫的執行或者是剛剛本席提的那兩個個案是不是也可以數位部這邊能夠進一步的瞭解然後發現哪些部分是漏洞然後我們要想辦法跟他防堵確保民眾的這個財產的一個安全這樣好謝謝委員經理謝謝 |
transcript.whisperx[189].start |
6139.585 |
transcript.whisperx[189].end |
6141.887 |
transcript.whisperx[189].text |
接下來有請林俊倩委員發言謝謝主席本時邀請我們數話部黃部長黃部長 |
transcript.whisperx[190].start |
6172.253 |
transcript.whisperx[190].end |
6200.921 |
transcript.whisperx[190].text |
委員好部長好部長這個就是我們這個111的簡訊之前有媒體有報導是否被破功其實是詐騙我們應該是沒有被突破系統沒有但是呢有這種111的假訊息那這個事情媒體報導以後那民眾對111的公信力信任度一定會降低 |
transcript.whisperx[191].start |
6202.086 |
transcript.whisperx[191].end |
6207.952 |
transcript.whisperx[191].text |
那我請教那現在案子有沒有破啊我現在收到111的簡訊我可以點進去嗎 |
transcript.whisperx[192].start |
6210.718 |
transcript.whisperx[192].end |
6230.639 |
transcript.whisperx[192].text |
這個案子本身是被破壞的歹徒都被逮到了而且他用的設備是大陸的設備那所以我們這個第一個就是我們以後對這種設備要做嚴加管理所以以後不會有啦那我現在收到1111可以點進去嗎報告委員我現在是講說一本收到11簡訊你要看那個簡訊因為簡訊都會有個連結 |
transcript.whisperx[193].start |
6232.481 |
transcript.whisperx[193].end |
6242.374 |
transcript.whisperx[193].text |
那個連結一定是一個legal就是合法的一個連結比如說gov.tw所以在點進去以前還是要看一下我看那個連結何必一一一一 |
transcript.whisperx[194].start |
6244.078 |
transcript.whisperx[194].end |
6267.16 |
transcript.whisperx[194].text |
政府設立這樣11的簡訊就是方便民眾辨識嘛對辨識以後但是你一般老人哪看得懂什麼現在先會點gov哪看得懂對就是就是這個單是多重第一個我們那你不是走回頭路對沒有報告委員就是說以前就是因為連結很難辨識所以呢政府就用個11看到11你就放心點進去不會是詐騙 |
transcript.whisperx[195].start |
6268.241 |
transcript.whisperx[195].end |
6287.741 |
transcript.whisperx[195].text |
對,那以後齁,以後這個我們剛剛講的就是我們會有網路詐騙通報查詢網,也許以後民眾再看到這個一一簡訊再要去...那現在看到一一可以填進去行不行啊?現在這個目前應該是...我覺得很慘欸政府推一一花多少錢?我覺得那個預算好像一千多萬啊 |
transcript.whisperx[196].start |
6288.584 |
transcript.whisperx[196].end |
6290.866 |
transcript.whisperx[196].text |
所以手機如果有2G功能的要把它關掉 |
transcript.whisperx[197].start |
6317.745 |
transcript.whisperx[197].end |
6340.129 |
transcript.whisperx[197].text |
有沒有抓到那個詐騙局長,聘請他當顧問,你剛剛問他什麼東西你沒有辦法騙過去,給他趕趕啦,請他教我們好不好,要不然你發明一個新東西花那麼多錢,他買一個報復這個幾乎不用錢啦,二局的那個機率台現在幾乎是要報復的東西啦,他拿進來可以改那個電話號碼,就把它改成111就騙了嘛。 |
transcript.whisperx[198].start |
6341.099 |
transcript.whisperx[198].end |
6369.467 |
transcript.whisperx[198].text |
通常是10年前的手機才會有2G的功能啦所以我想這個因為現在台灣是沒有2G網路也沒有2G手機了啦那他拿2G的基地台進來什麼狀況下可以入侵可以騙到我們的因為現在我們是4G、5G網路嘛對 如果你的手機有2G的接收功能你會收到這個簡訊但是現在絕大部分手機這剛剛講就10年前手機也許有2G功能現在新的手機絕對沒有2G功能所以你新買的手機那如果網路不穩定的時候 |
transcript.whisperx[199].start |
6370.367 |
transcript.whisperx[199].end |
6393.977 |
transcript.whisperx[199].text |
他這樣傳也是可能侵入喔因為那個剛剛講這個這種是單方向的認證以後從3G以後都是雙向認證也就是說那個基地站跟手機會做出會有一個協議嘛他們就會互相認證這個方法在3G以後的手機是沒有用的就2G還有嘛那2G現在台灣有多少用戶啊就有這種手機要多少差不多知不知道 |
transcript.whisperx[200].start |
6396.11 |
transcript.whisperx[200].end |
6423.535 |
transcript.whisperx[200].text |
你的意思是說你手裡拿的是很舊式的手機或是有2G功能才可能被這種騙嗎?是不是這樣?所以潛在的受害者多少?如果今天買的手機是最近才買的或是這一兩年才買的你就不用擔心?就不用擔心那你要跟民眾說明清楚啊所以我剛問你第一個問題你是身為部長你也不太敢回答我問你看到111的訊息能不能點進去? |
transcript.whisperx[201].start |
6424.605 |
transcript.whisperx[201].end |
6427.468 |
transcript.whisperx[201].text |
你如果說叫民眾在點進去以前再看一下連結 |
transcript.whisperx[202].start |
6439.036 |
transcript.whisperx[202].end |
6439.056 |
transcript.whisperx[202].text |
委員長 |
transcript.whisperx[203].start |
6459.753 |
transcript.whisperx[203].end |
6483.473 |
transcript.whisperx[203].text |
議員8 |
transcript.whisperx[204].start |
6484.133 |
transcript.whisperx[204].end |
6491.916 |
transcript.whisperx[204].text |
就手機的就還有2G接收功能的手機他才會丟進去他會接到嘛聽說他騙了三百多萬啊這樣也會結合耶那一台比較多啊一台聽說我們把他報廢了我跟他一台機一台搞不好幾乎是不用錢的 |
transcript.whisperx[205].start |
6500.799 |
transcript.whisperx[205].end |
6528.768 |
transcript.whisperx[205].text |
那還是會有吧那市面上現在要再販售新的附帶二級手機的應該是這個現在二級手機應該是沒有了這個你要跟NCC去了解一下要不然你一一一一整體信用崩盤那怎麼辦因為你有很多政策你有很多部會現在還每天在傳 |
transcript.whisperx[206].start |
6530.592 |
transcript.whisperx[206].end |
6532.213 |
transcript.whisperx[206].text |
所以現在11還可以用啦? |
transcript.whisperx[207].start |
6558.294 |
transcript.whisperx[207].end |
6559.935 |
transcript.whisperx[207].text |
新版的手機根本不會放2G的功能 |
transcript.whisperx[208].start |
6585.373 |
transcript.whisperx[208].end |
6611.476 |
transcript.whisperx[208].text |
如果像我這種新的手機沒有辦法接受2G的訊息他就收不到這種簡訊嗎?是這樣嗎?對你確定嗎?確定那114還可以用喔?一旦都可以用基本上可以用喔?可以可以如果新手機沒問題我覺得這個要趕快發布會去解決了要不然你花這麼多錢用了這麼大力宣傳的東西如果公信力崩盤你一拆又重來 |
transcript.whisperx[209].start |
6613.7 |
transcript.whisperx[209].end |
6636.848 |
transcript.whisperx[209].text |
因為今天委員在關心數位發展部發生那個霸凌事件這事情真相你們要去調查嘛那部長也答覆說啊數位發展部職場霸凌防治及處理作業要點你會依據這個來做規定嗎對你這個要點在哪裡啊要點在你根本沒有這個要點你也不會說啦人事處說明你這個要點你有這個要點嗎 |
transcript.whisperx[210].start |
6644.702 |
transcript.whisperx[210].end |
6672.141 |
transcript.whisperx[210].text |
報告委跟委員有在哪邊網路上找不到各部位都有就你們事務部沒有有我們有跟委員報告我們是今年11月28修訂今年多少今年11月28自訂還是修訂那個修訂所以之前就有了有那你看你什麼地方還不認識等一下借我看一下好OK我們等另外喔謝謝 |
transcript.whisperx[211].start |
6674.7 |
transcript.whisperx[211].end |
6701.783 |
transcript.whisperx[211].text |
你數位發展部其實各部都有一個反霸凌預算我不曉得大家你數位發展部沒有編列你知不知道反霸凌預算因為這種反霸凌其實不是現在才發生以前都有所以他很多單位都有反霸凌的甚至還有課程他還有一定的預算你要去執行要去教育只有你數位發展部沒有因為你說過你要設立一個申訴調查小組 |
transcript.whisperx[212].start |
6703.527 |
transcript.whisperx[212].end |
6719.777 |
transcript.whisperx[212].text |
對不對他是無極職啦但是他你要寫報告書還要出席費用等等喔各部會幾乎都有只有你數位發展部沒有啦但你有在單位有啦放在一般行政裡面這個預算你也瞭不講啦你那個說明欄就沒有啦我現在查起來喔你像那個 |
transcript.whisperx[213].start |
6726.414 |
transcript.whisperx[213].end |
6752.382 |
transcript.whisperx[213].text |
資安署有啦,結果資安署有啦我查一下你各部的預算你當部長的自己去了解一下你就說你基本上你各部會可是個新單位所以你有一些事項業務你並沒有很完整的納進來你有很多單位你那個數位發展部本身沒有反霸凌的預算這次大家質疑這個數位產業發展署也沒有啦但你資安署有啦 |
transcript.whisperx[214].start |
6753.851 |
transcript.whisperx[214].end |
6753.871 |
transcript.whisperx[214].text |
委員會議員會議員會議 |
transcript.whisperx[215].start |
6773.772 |
transcript.whisperx[215].end |
6774.473 |
transcript.whisperx[215].text |
接下來我們請魯明哲召委 |
transcript.whisperx[216].start |
6804.828 |
transcript.whisperx[216].end |
6809.611 |
transcript.whisperx[216].text |
謝謝主席有請黃部長跟人事處處長謝謝兩位 |
transcript.whisperx[217].start |
6822.864 |
transcript.whisperx[217].end |
6849.933 |
transcript.whisperx[217].text |
委員我剛好也有機會在基層擔任過首長那因為現在至少這兩個多禮拜一個霸凌的事件是全民都在關心的那在這個問題的裡面我剛剛的感覺我們的速發部速發部的反應我是覺得稍微慢了一點也就是說當總統院長鞠躬道歉之後你們的目標就是趕快來修訂一下法規在11月28號20號 |
transcript.whisperx[218].start |
6852.734 |
transcript.whisperx[218].end |
6854.095 |
transcript.whisperx[218].text |
委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會 |
transcript.whisperx[219].start |
6878.795 |
transcript.whisperx[219].end |
6896.836 |
transcript.whisperx[219].text |
員工表達意見,你有沒有彙整?還是還沒收件?朝委請問的是那個什麼的調查。我跟委員報告。這樣好了啦。那我們這個任性司裡面的所有的同仁的收件沒有? |
transcript.whisperx[220].start |
6900.22 |
transcript.whisperx[220].end |
6923.234 |
transcript.whisperx[220].text |
跟詹委員報告就是說就我們那個本部的那個離職率比較偏高的那個部分那大概確實我們那個瞭解就是昭緯有調查的這個部分那確實是我們那個六個業務室你都收卷了嗎?治安署每位同仁的反應你都收到了嗎?彙整了嗎? |
transcript.whisperx[221].start |
6927.009 |
transcript.whisperx[221].end |
6945.961 |
transcript.whisperx[221].text |
你到底在做什麼啦我跟你講齁真的很離譜啦剛剛一直講同仁怎樣同仁怎麼樣我們只問一個這種調查最基本的第一件事同仁保密的甚至不具名的不要有標示性的反應起來啊這件事有沒有做 |
transcript.whisperx[222].start |
6947.165 |
transcript.whisperx[222].end |
6962.166 |
transcript.whisperx[222].text |
到目前為止有沒有做在11月20號他單位發生這麼嚴重霸凌的事件當行政院長下令的時候你們這個當然我想這個部長也是問題你要負責啦齁處長在做什麼在觀望應該不會到我們 |
transcript.whisperx[223].start |
6962.907 |
transcript.whisperx[223].end |
6986.933 |
transcript.whisperx[223].text |
我跟你講每個單位可能都有這樣的危機啊你最基本的員工的反應我們同仁會不會有這樣的一個反應你至少要有這種警覺性我還沒有爆發我要警覺性所有的同仁全部你們反應一下不具名的你們反應一下各單位的一個情況你自己能夠幫忙部長做一個反應哪裡危機哪裡沒有危機我講的對不對我就認這個速度慢了 |
transcript.whisperx[224].start |
6988.346 |
transcript.whisperx[224].end |
7016.694 |
transcript.whisperx[224].text |
第二個呢 這個部長講真的 你們很算是整個數位部因為畢竟比較專業以前我們在部隊講說合理的叫訓練不合理的叫磨練問題現在這個社會發展到這個點上大概沒有什麼不合理的空間也許部隊還有一些其他我們在政府在管理這個部分我要必須給你們八個字就是 |
transcript.whisperx[225].start |
7018.135 |
transcript.whisperx[225].end |
7035.315 |
transcript.whisperx[225].text |
親身說重話親身重話親身也可以說重話嘛不要講髒話嘛重話也講得出來第二個禮職氣也可以喝我說真的那我們現在因為在做很多都做我們的數位的專業的 |
transcript.whisperx[226].start |
7037.028 |
transcript.whisperx[226].end |
7047.037 |
transcript.whisperx[226].text |
我們都說理科人我碰過蠻多的真的很直就是平常就只管01 01 01數位那他不知道0跟1之間還有100種1000種可能還有0.01像我們不是理科人我們覺得彈性很大 |
transcript.whisperx[227].start |
7053.903 |
transcript.whisperx[227].end |
7073.573 |
transcript.whisperx[227].text |
所以我是覺得對於我們所有主管甚至各單位二級的首長甚至科長、組長這個的部分如何做管理我是覺得這一方面的調教跟訓練甚至跟SOP是怎麼樣這個部分你要怎麼著手部長你說一下好不好 |
transcript.whisperx[228].start |
7074.933 |
transcript.whisperx[228].end |
7097.165 |
transcript.whisperx[228].text |
謝謝委員的建議的確這件事情就是讓我也跟部內同仁講就是我們要加強我們的所謂訓練教育訓練包括靈導統一的訓練也就是說剛剛委員講的很好我們要我用一句話就是我們要愛的教育鐵的紀律也就是說我們紀律是要很嚴格但是你那個在跟員工在溝通的時候那個愛那個字很重要所以 |
transcript.whisperx[229].start |
7098.206 |
transcript.whisperx[229].end |
7114.105 |
transcript.whisperx[229].text |
這個我們會在內部然後我們會再請外面的一些專家跟老師來跟我們做內部的訓練希望這個所謂的職場霸凌的這個事情在我們數位發展部不會再發生好那這個部分我還有第二個建議啦第二個建議說 |
transcript.whisperx[230].start |
7115.933 |
transcript.whisperx[230].end |
7133.586 |
transcript.whisperx[230].text |
因為現在霸凌事件發生到現在我們也希望不要到最後走到偏差了就是我們要真的把不對的事情把它找出來不要讓對的事情連講都不敢講因為以前就我的經驗我們現在在政府裡面說真的八成的員工 |
transcript.whisperx[231].start |
7134.98 |
transcript.whisperx[231].end |
7154.936 |
transcript.whisperx[231].text |
都能夠他做完他的事情他能夠符合他的能量甚至有三層四層他是蠻優秀的但是有兩層呢需要你去關心去輔導這也是事實啦這也是事實啦那也許有個3%到5%3%到5%因為我以前碰過好不好人家來罵我為什麼我們這個裝個路燈兩個月或做工程兩個月 |
transcript.whisperx[232].start |
7160.973 |
transcript.whisperx[232].end |
7182.481 |
transcript.whisperx[232].text |
完全沒有消息不裝也沒給消息結果我一去看我們承辦人這事實喔哇那抽屜一打開半年以上的公文他壓在這裡那所以如果以現在的標準說我不知道怎麼樣跟他好好講那肯定要臭罵一頓的所以我是覺得怎麼樣在工作性質上面 |
transcript.whisperx[233].start |
7183.854 |
transcript.whisperx[233].end |
7208.424 |
transcript.whisperx[233].text |
不要到私人的個人的一個上面我是覺得這是一個關鍵的一個重點這個部分我建議這整個要去推敲尤其剛剛我們署長也特別說壓力這麼大對不對我覺得這個東西是非常非常重要的管理還是持續要做但是只是不要情緒失控這是我的建議那再來就是我們數位三件特別看到你的一個報告 |
transcript.whisperx[234].start |
7210.545 |
transcript.whisperx[234].end |
7233.711 |
transcript.whisperx[234].text |
強化打詐公私協力其中一樣剛剛很多委員講11政府短碼檢訊平台上路當然我講不幸中的大幸是因為他現在是用舊的2G的一個平台用車載著到處去跑然後去干擾現在可能5G、4G的訊號台然後他發出去那只有 |
transcript.whisperx[235].start |
7234.651 |
transcript.whisperx[235].end |
7244.496 |
transcript.whisperx[235].text |
中間還有二級的功能的手機能夠收到可是你知道嗎其實不光是二級手機了那常常發的是Hokang |
transcript.whisperx[236].start |
7245.63 |
transcript.whisperx[236].end |
7265.604 |
transcript.whisperx[236].text |
我二級手機其實也沒有存二級手機太少啦可能就四級下融到三級二級他有這種功能啦他收得到結果他訊號一關掉他要恢復四級啦他趕快發給群組哇這好康政府又提供什麼所以這種東西我是覺得也不能忽視因為我是比較擔心的 |
transcript.whisperx[237].start |
7266.945 |
transcript.whisperx[237].end |
7292.712 |
transcript.whisperx[237].text |
看到一個事情不是111二級手機影響比較少而看到一個問題其實最認真去遵行推敲我們數位部、數發部最新政策的還有NC最新政策的其實是詐騙集團你有什麼訊息什麼可以代表政府的公信力公信力了他就跟上來你想想看像這樣的一個情況111 |
transcript.whisperx[238].start |
7294.272 |
transcript.whisperx[238].end |
7321.373 |
transcript.whisperx[238].text |
代表政府現在大概我們網路去google我可以看到自己十幾個二十個包括我們千里山他特別專業各位111請不要擔心絕對不是詐騙他同時間在幫你宣傳的有345個單位機關嘛你們在整個用到現在也大概4600多萬通在發那如果你夾雜這個的部分等於這些宣傳的機關 |
transcript.whisperx[239].start |
7322.614 |
transcript.whisperx[239].end |
7329.881 |
transcript.whisperx[239].text |
也順便再幫忙他那個詐騙集團他宣傳都沒有宣傳了因為大家都說11是標準的讓你看看8月1號111的簡訊你就可以放棄記得111簡訊是政府發送的能避免被詐騙集團保有111安全 |
transcript.whisperx[240].start |
7342.639 |
transcript.whisperx[240].end |
7344.14 |
transcript.whisperx[240].text |
所以我最後一個拜託啊 |
transcript.whisperx[241].start |
7369.891 |
transcript.whisperx[241].end |
7370.111 |
transcript.whisperx[241].text |
數位批夾 |
transcript.whisperx[242].start |
7391.224 |
transcript.whisperx[242].end |
7399.376 |
transcript.whisperx[242].text |
手機裡面這個部分你們在建制現在花了大概兩億喔大概這兩年喔今年加明年大概會 |
transcript.whisperx[243].start |
7400.503 |
transcript.whisperx[243].end |
7428.183 |
transcript.whisperx[243].text |
議員8 |
transcript.whisperx[244].start |
7428.263 |
transcript.whisperx[244].end |
7450.871 |
transcript.whisperx[244].text |
那個PGC用最新的加密技術再加一個國際認證的標籤PKI這樣的一個技術所以就是說這個資料在你的手機裡面一定要經過一些認證這個認證是不是商號密碼而是你的生物特徵然後進去之後像FIDO這種然後進去之後才去渠道裡面資料再解密才能真正使用所以有多重的保護那應該這個應該是相對的相當的安全應該的齁 |
transcript.whisperx[245].start |
7455.552 |
transcript.whisperx[245].end |
7479.028 |
transcript.whisperx[245].text |
我們也希望我們希望是真正的政府做的到時候如果真的發生詬病的話那種反彈壓力非常大我們真的不希望這個道高一尺魔高一丈這種天天在台灣詐騙集團上演我們不要每一次各單位NCC追在詐團的後面我們真的希望有方法堵在詐團的一個前面我們真的希望一起努力謝謝 |
transcript.whisperx[246].start |
7488.459 |
transcript.whisperx[246].end |
7500.27 |
transcript.whisperx[246].text |
好謝謝盧明哲抓委那接下來我們請何欣淳委員好謝謝我們請我們請黃部長委員好 |
transcript.whisperx[247].start |
7507.062 |
transcript.whisperx[247].end |
7531.379 |
transcript.whisperx[247].text |
部長剛剛很多委員在擔心數位皮夾之前我是反對數位身份證的數位身份證為什麼因為我們大家都知道治安的問題所以數位皮夾你現在要推動最重要的是要取得人民的信任要取得人民的信任就是要治安能夠讓人家信任所以我今天就要來討論 |
transcript.whisperx[248].start |
7533.121 |
transcript.whisperx[248].end |
7533.261 |
transcript.whisperx[248].text |
委員會委員會 |
transcript.whisperx[249].start |
7549.953 |
transcript.whisperx[249].end |
7565.323 |
transcript.whisperx[249].text |
三層的原因未知那各自沒有保障的情況之下民眾如何安心這個我想這個數據是從你們這個數位發展部來的那如果說以2023年公部門的資安通報697件那你們也要當了有市警那你們市警只是市警告訴各個部門說怎樣才有這個風險 |
transcript.whisperx[250].start |
7575.109 |
transcript.whisperx[250].end |
7595.577 |
transcript.whisperx[250].text |
可是問題是要真正的維護各個公部門的資安通報後的一個個資的一個安全跟所謂的這個處理因應的話還是要來自於各部門的資訊人員資安人員對不對通報之後各部門對就是是不是也要來自於各部門的這個資安人員 |
transcript.whisperx[251].start |
7597.887 |
transcript.whisperx[251].end |
7617.795 |
transcript.whisperx[251].text |
是沒錯對是沒錯嘛對不對好來問題是在於我們如何能夠信任政府的資安人員第一個人力夠不夠來你自己來看現在呢112年中央及地方政府的資安專職人員配置情形表 |
transcript.whisperx[252].start |
7619.405 |
transcript.whisperx[252].end |
7646.114 |
transcript.whisperx[252].text |
這是你們給我的數字那我們統計了一下真正的資安的專職正式人員僅佔各個政府機關通報出來的人員的六成專職正式人員只有佔六成而且我必須要跟部長提醒一下這個表格裡面所提報的人數 |
transcript.whisperx[253].start |
7648.069 |
transcript.whisperx[253].end |
7657.917 |
transcript.whisperx[253].text |
我跟你講是由各機關提報至於各機關提報的他認定的資安專職人員到底是不是真的資安專責人員 |
transcript.whisperx[254].start |
7660.049 |
transcript.whisperx[254].end |
7681.23 |
transcript.whisperx[254].text |
我不知道你們有查核嗎我不知道那他的認定標準又是如何他是依據什麼來填報那我們呢速發布又是如何要來盤點檢討在整個提報裡面的資安專職的正式人員僅佔6成那其他4成都不是正式人員喔 |
transcript.whisperx[255].start |
7682.798 |
transcript.whisperx[255].end |
7708.914 |
transcript.whisperx[255].text |
這是以數字來講第二個是以這麼多的機關裡面包括 ABC因為你們治安的層級有分ABC級那以ABC級呢你看喔中央地方你就有這樣子的一個人數上人力上還有專業上大家沒辦法放心的地方所以也就是說如果你沒辦法讓人家放心沒有辦法讓人家安心 |
transcript.whisperx[256].start |
7709.835 |
transcript.whisperx[256].end |
7724.236 |
transcript.whisperx[256].text |
那如何去做治安真的是讓大家肯定說政府在推任何的數位的東西都OK的都不會被詐騙的都不會被害辱的都不會被怎樣的部長你知道我的 |
transcript.whisperx[257].start |
7725.277 |
transcript.whisperx[257].end |
7744.609 |
transcript.whisperx[257].text |
議員提醒嘛對了解謝謝委員提醒的確那個人力不足就治安人力不足確實是一個問題那所以我們在治安署治安院有不同的program在訓練人才那剛剛我在檢那個一開始業務報告也說也說過我們基本上治安轉執訓培養大概至少2000人來這個就是我接下來跟你討論的問題囉接下來下一頁 |
transcript.whisperx[258].start |
7747.711 |
transcript.whisperx[258].end |
7763.309 |
transcript.whisperx[258].text |
我早在2022年那時候數位發展部剛成立的時候國科會那時候的吳政中他是政委兼國科會主委他也是行政院資安匯報的什麼 |
transcript.whisperx[259].start |
7764.352 |
transcript.whisperx[259].end |
7764.612 |
transcript.whisperx[259].text |
委員會委員會 |
transcript.whisperx[260].start |
7790.515 |
transcript.whisperx[260].end |
7798.686 |
transcript.whisperx[260].text |
也偵測了資安類科可是部長你知道嗎我們目前看到只有開缺6個人為什麼會是這樣子你知道嗎來來請 |
transcript.whisperx[261].start |
7808.261 |
transcript.whisperx[261].end |
7824.072 |
transcript.whisperx[261].text |
謝謝委員的確今年的開卷比較不多那我有去問了各個部會他們是目前他們覺得說還不太確定說那我問你不要管地方中央裡面的A級的資安的機關有幾個 |
transcript.whisperx[262].start |
7827.523 |
transcript.whisperx[262].end |
7842.352 |
transcript.whisperx[262].text |
A級A級有47個47個那我剛剛講的上一頁你們的資安專職的正式人員僅佔全部的六成左右A級的機關又特別需要注重資安 |
transcript.whisperx[263].start |
7843.052 |
transcript.whisperx[263].end |
7851.059 |
transcript.whisperx[263].text |
可是呢我們看到現在我們好不容易跟人事總署爭取到跟行政院爭取到我增設了資安類科我可以國家來招考專業正式的資安人員那為什麼只有6個第一年開缺的時候因為報考的就是機關也想要現我們去訪談的結果啦機關想要被訓練成熟拿到證書的他覺得剛考上沒有辦法立刻上手那這個是必須要溝通 |
transcript.whisperx[264].start |
7870.196 |
transcript.whisperx[264].end |
7893.217 |
transcript.whisperx[264].text |
議員8 |
transcript.whisperx[265].start |
7893.217 |
transcript.whisperx[265].end |
7910.213 |
transcript.whisperx[265].text |
議員8 |
transcript.whisperx[266].start |
7910.273 |
transcript.whisperx[266].end |
7914.114 |
transcript.whisperx[266].text |
我們訴發部不管是之前的唐鳳部長甚至到後來黃部長來拜訪我我就說你們要進行全國各機關就算各機關你們沒辦法盤點好了最沒A級的A類的你們真正需要的資安人員專業正式人員到底有多少那要怎麼跟行政院建議要怎麼跟各部會來溝通協調 |
transcript.whisperx[267].start |
7935.101 |
transcript.whisperx[267].end |
7946.749 |
transcript.whisperx[267].text |
你在溝通協調的時候你就跟各個部會應該跟各機關都要講我們有爭取要加開增設資安類科就應該要去說服說各機關如果你有缺專業正式人員那我現在國考要增加這一個類科囉那你們是不是應該要提報你們現在怎麼會被動的來跟我講說因為呢開卻的時間太晚離現在呢所以報名的只有6個 |
transcript.whisperx[268].start |
7961.112 |
transcript.whisperx[268].end |
7975.092 |
transcript.whisperx[268].text |
這個不是理由吧我們推資安的專業正式人員的這一件事情又不是今年才開始是報告委員委員的指導其實我們有有認真的聽然後我們也真的做了全 |
transcript.whisperx[269].start |
7975.992 |
transcript.whisperx[269].end |
7982.938 |
transcript.whisperx[269].text |
的詢回跟機關跟機關說明了這個。你們就是只有去詢回啦然後詢回是跟誰講我不知道。因為其實機關機關有想要增額錄取啦但是問題是他們提出來的時候的時間沒搭上那所以我會覺得在今年時間沒搭上對不好意思這個 |
transcript.whisperx[270].start |
7992.165 |
transcript.whisperx[270].end |
8020.375 |
transcript.whisperx[270].text |
因為去年才剛開第一次考試所以其實準備的機關準備的時間也不夠多啦那因為我們提報考缺其實要比較可能譬如說要半年前我要再跟部長講我們講這件事不是今年第一年講啊這不是今年第一年講啊你現在跟我講說提的這個什麼時間太短所以造成這個後果那明年會更多 |
transcript.whisperx[271].start |
8024.681 |
transcript.whisperx[271].end |
8049.356 |
transcript.whisperx[271].text |
我們回去會檢討然後加速處理這個接下來第二個除了我們開這個國考之外第二個就是你剛剛部長所講的我們廣發英雄帖我們說各個機關裡面的資訊處理人員也可以來轉職或者是一般的主持要他的專業背景或者是他曾經有過那樣子的一個經驗他也可以來轉職系對不對 |
transcript.whisperx[272].start |
8051.889 |
transcript.whisperx[272].end |
8068.579 |
transcript.whisperx[272].text |
可是現在你們說每年要拚5000名職安人才那現在呢?訓練5000名目標5000名有達到嗎?部長我跟你講你們達不到啊我跟你們要資料你們都還不敢跟我講說今年到底幾千人勒 |
transcript.whisperx[273].start |
8070.246 |
transcript.whisperx[273].end |
8070.626 |
transcript.whisperx[273].text |
報告委員我們有訓練 |
transcript.whisperx[274].start |
8089.65 |
transcript.whisperx[274].end |
8092.433 |
transcript.whisperx[274].text |
而專職真的專職證書是2500人然後其他的專職連譬如說工作坊訓練的60人這個數字上 |
transcript.whisperx[275].start |
8101.499 |
transcript.whisperx[275].end |
8118.95 |
transcript.whisperx[275].text |
第一個我再強調一次我已經先給你題目了是沒有給我書面資料在我質詢之前你不給我說拿不出來第二個我現在問的是因為我給你題目了你告訴我這個答案但是我要指也是這個答案是說有證書他就等於治安人員嗎 |
transcript.whisperx[276].start |
8120.516 |
transcript.whisperx[276].end |
8136.085 |
transcript.whisperx[276].text |
不是喔你們這個有兩個程式的處理喔像我說的回到我第一頁說的我們各機關的資安專業正式人員那必須要這兩件事要處理第一個要有休息學分 |
transcript.whisperx[277].start |
8136.725 |
transcript.whisperx[277].end |
8153.232 |
transcript.whisperx[277].text |
二十個學分以上而且必須要考試類科跟資訊處理直系相近第二個治安的專職人員還必須要有第一個證照第二個訓練證書跟一張以上因為你有不同的成績嘛有的要求兩張有人要求三張嘛對不對是啊 |
transcript.whisperx[278].start |
8153.692 |
transcript.whisperx[278].end |
8170.913 |
transcript.whisperx[278].text |
那所以因為呢不同的訓練不同的證照所以你們不同層級的治安人員那這個就是我希望這個不是你們說啊你什麼每年拼五千名啊那個五千名只是一個概括的數字啊我們真正要的是各機關裡面的 |
transcript.whisperx[279].start |
8172.034 |
transcript.whisperx[279].end |
8197.883 |
transcript.whisperx[279].text |
知安人員到底人手足不足我不希望像勞發署那個資訊人員一樣只有他一名正式人員其他的都不是正式人員所以他一個人要扛整個北分署的一個責任這件事情上我覺得人力不足還有我們的訓練專業訓練政府到底有沒有給足力量給足資源 |
transcript.whisperx[280].start |
8199.296 |
transcript.whisperx[280].end |
8207.824 |
transcript.whisperx[280].text |
這才是我們要做的啊是是不是我們第一個努力限職轉職系他的確是剛剛委員講的他必須要有20個學分或360個360個小時的學習那但是在職的人在職人現有的人他必須要合格他也必須拿兩張證照所以這兩種訓練我們都有在辦 |
transcript.whisperx[281].start |
8220.094 |
transcript.whisperx[281].end |
8235.742 |
transcript.whisperx[281].text |
議員8 |
transcript.whisperx[282].start |
8235.842 |
transcript.whisperx[282].end |
8245.988 |
transcript.whisperx[282].text |
那也不是你說的五千好吧那三千多人三千多人之後我們又要預算去支持他們讓他們能夠轉型成功不是嗎報告委員其實部長講的五千人是全面的訓練就是已經是資安人員他也必須一直進步所以全部的人的拿執照的訓練可是我現在跟委員報告是轉直系 |
transcript.whisperx[283].start |
8257.415 |
transcript.whisperx[283].end |
8282.529 |
transcript.whisperx[283].text |
你們現行的專業的資安的正式人員就很少啊我也希望那個也謝謝委員的支持然後我也希望說各個部會能夠盡量支持我讓正式的專職人員能夠成立那這個我們也在修法就以後的強制度可能會高一點啦但是這個我覺得真的是必須努力真的是謝謝委員拜託啦部長我今天會質詢這個就是要讓你看到說數字不代表一切啦真正實際上各機關的 |
transcript.whisperx[284].start |
8285.13 |
transcript.whisperx[284].end |
8306.726 |
transcript.whisperx[284].text |
資安專業正是人力嚴重的不足啦那好吧不足那我們怎麼樣用最快的速度用最足夠的資源趕快來補足所以我拜託策略性請讓有效率的一個擬定策略第二個盡速的把這個補足資安人員的這個時程表可以趕快給出來第三個專業的輔導 |
transcript.whisperx[285].start |
8308.487 |
transcript.whisperx[285].end |
8309.048 |
transcript.whisperx[285].text |
接下來有請黃建豪委員發言 |
transcript.whisperx[286].start |
8346.431 |
transcript.whisperx[286].end |
8353.543 |
transcript.whisperx[286].text |
好謝謝主席我們先請數位部黃部長黃部長跟任性建設師鄭明忠司長好鄭司長 |
transcript.whisperx[287].start |
8364.968 |
transcript.whisperx[287].end |
8389.563 |
transcript.whisperx[287].text |
委員好來部長好市長好這個一開始當然還是要關切一下我想我們這新聞上事件看到了這個數位部職場霸凌案的問題我想今天市長來我覺得還是先給肯定市長你願意勇於負責相較於先前這個勞動部那位分組長直接消失不見了我想市長的這個態度還值得肯定那我想先請教一下這個市長你被指控的這些事情是事實呢還是這是你們這個內部的這個職場鬥爭 |
transcript.whisperx[288].start |
8394.315 |
transcript.whisperx[288].end |
8395.396 |
transcript.whisperx[288].text |
部長當然是這樣啦 |
transcript.whisperx[289].start |
8419.468 |
transcript.whisperx[289].end |
8438.76 |
transcript.whisperx[289].text |
我可以知道你要愛護這個同仁的心情而且但是這個事情是這樣之前包含總統也好院長也好都已經下令說要各單位來清查這個事情那但是的確下令之後很多委員都收到各式各樣的投訴跟各式各樣的爆料那今天這個新聞也上了檯面了 |
transcript.whisperx[290].start |
8440.341 |
transcript.whisperx[290].end |
8468.94 |
transcript.whisperx[290].text |
議長在,市長也在,我們希望利用這個機會,我也不會關太久,我只想請市長簡單說明這個是事實呢?還是說這個是涉及到內部的這個鬥爭?因為其實我們去講一個另外面向啊,的確霸凌案發生之後我們也收到很多的檢舉案啊但是有些並不是事實啊,有些是內部的這個爭議嘛所以我今天想要請市長有機會可以把話講清楚一下這個你被指控、被爆料、被投訴的這個東西第一個它是不是事實?你為什麼這樣做?那第二個 |
transcript.whisperx[291].start |
8470.02 |
transcript.whisperx[291].end |
8496.621 |
transcript.whisperx[291].text |
這樣做的原因會不會爆料出來有沒有涉及到你們內部的這個爭鬥鬥爭的問題謝謝委員給我這個機會我想這個事情造成整個部裡面整個還有對我們部的形象的傷害深感抱歉那我會甚至檢討然後接受調查因為部裡面已經成立專案調查小組我會接受調查以上好市長謝謝市長請回 |
transcript.whisperx[292].start |
8500.446 |
transcript.whisperx[292].end |
8519.223 |
transcript.whisperx[292].text |
好部長我還是要再次強調我們肯定司長至少今天願意出席啦比起不願意面對這個之前的謝憤組長好太多了所以我想後續不管他調查結果怎麼樣本期今天還是要肯定說司長願意在這個數位部質詢的時候他願意來出席這個這個隨時被可能被問到的問題好那進到主題啊 |
transcript.whisperx[293].start |
8520.336 |
transcript.whisperx[293].end |
8547.942 |
transcript.whisperx[293].text |
這部長我們過去常常很多次已經跟數位部溝通過到底你們第三方支付怎麼管理那之前你們跟我提說你們有這個能量登錄的問題能量登錄之後那如果沒有登錄的業者他跟銀行之間的這個金流銀行端你會去處理但是我們從這個重大的新聞看到之前這個數支付之前也曾經在這個能量登錄的這個清單上面當然先被廢止了我想問一下什麼時候被廢止的 |
transcript.whisperx[294].start |
8549.205 |
transcript.whisperx[294].end |
8553.842 |
transcript.whisperx[294].text |
報告委員,我們現在正在精進這地方制度的集合的工作,那是不是請署長做個說明。好。 |
transcript.whisperx[295].start |
8556.01 |
transcript.whisperx[295].end |
8580.24 |
transcript.whisperx[295].text |
謝謝委員給我們這個機會說明那我們在事前的話部長已經指示了以後要登錄一定要徵信那在事中的話一定要現地審查不是只有會議審查那事後的話一定要會同國稅局以及調查局去查核這個部分的精進我們正在推行當中部長跟這個署長你看之前這個大概有第三次還第四次質詢問這個所謂第三方支付你們到底怎麼管理的問題後端金流的問題 |
transcript.whisperx[296].start |
8582.641 |
transcript.whisperx[296].end |
8597.691 |
transcript.whisperx[296].text |
拜託說如果今天因為這個東西是你們曾經放上所謂的能量登錄的審和通過名單的所以可能有業者或民眾不知情他甚至搜尋新聞都是正面新聞搜尋官方文件他也在上面那表示說你們這個能量登錄 |
transcript.whisperx[297].start |
8598.892 |
transcript.whisperx[297].end |
8624.656 |
transcript.whisperx[297].text |
現在才要再做審核那表示現在放在名單上的公司是不是都可能變成詐騙集團洗錢的工具那你們到底要怎麼辦呢已經講了這麼久了結果現在被媒體爆出來說這個數支付曾經被你們放在這個審核上數支付曾經就在這個能量登錄上審核通過名單在前期版他都在上面但是他卻是詐騙集團洗錢的工具 |
transcript.whisperx[298].start |
8625.916 |
transcript.whisperx[298].end |
8632.537 |
transcript.whisperx[298].text |
那表示能量登錄沒有意義了嘛那你們是說要去跟銀行端去做這個背書去做審查我想問一下 |
transcript.whisperx[299].start |
8633.704 |
transcript.whisperx[299].end |
8657.328 |
transcript.whisperx[299].text |
數位部有能力去管銀行嗎那像這樣子而且這是你們通過的這個是你們放在能量登錄的網站上面所以說實在當然依照你們的說法還合法合理的去跟銀行去做交涉銀行也覺得說你是通過數位部認證的還去通過這個國際FIDO聯盟這FIDO聯盟不只這個公司有加入啊你們數位部也有加入啊 |
transcript.whisperx[300].start |
8660.59 |
transcript.whisperx[300].end |
8685.527 |
transcript.whisperx[300].text |
所以你們共同等於是在形象上面第一個你們有名單上有這個公司那FDI聯盟裡面蘇師傅也獲他們邀請然後數位部也在這FDI聯盟裡面那變成好像他是個很合法很合理的公司結果他就肆意洗錢所以我今天要講的是當然你們要去做徵信這個一定要做的嘛但我覺得問題是說之前一直提到一件事情詐騙最嚴重的問題是後續的金流怎麼走那結果今天我在這個名單裡面 |
transcript.whisperx[301].start |
8687.423 |
transcript.whisperx[301].end |
8702.157 |
transcript.whisperx[301].text |
被放上名單的公司他居然可以去涉及洗錢那是不是還有其他的未報單數位部要怎麼稽查你們跟財政部或是你們跟機管會到底要怎麼合作還是這件事情是各推各的我們現在就是在精進這個整個計畫的機制我再請署長說個說明 |
transcript.whisperx[302].start |
8703.837 |
transcript.whisperx[302].end |
8721.439 |
transcript.whisperx[302].text |
那三個面向來回復委員的問題第一個是查核我們幾乎已經快全部查核了所以以後這樣諸之乎這樣的會機率其實是很低的我們都要限定要找資安專家跟法律專家去查核這是第一點第二點的話我們跟我們讓檢警調去查詢 |
transcript.whisperx[303].start |
8722.14 |
transcript.whisperx[303].end |
8741.732 |
transcript.whisperx[303].text |
我們現在有一個快訊的查,市長方似乎那個訊息上的快訊快速的查詢那個可以很快的就全存了這個是第二點第三點數字會claim他他那個FIDO那個是錯的我們跟FIDO聯盟的主席已經確認過了那個是比較錯誤的資訊他們發假新聞是不是錯誤的對他們發佈假新聞是不是這個意思他其實已經調查局好像已經找他 |
transcript.whisperx[304].start |
8751.862 |
transcript.whisperx[304].end |
8773.404 |
transcript.whisperx[304].text |
那這裡也要掌握啊,他發的新聞這已經是今年年中的事情了我們跟FIDO聯盟的主席都確認過了那FIDO聯盟主席裡面除了這間公司之外還有沒有其他台灣現在第三方支付看起來可能有問題的公司在裡面目前我們會再跟大家確認不過那時候只有這一家這樣 |
transcript.whisperx[305].start |
8776.007 |
transcript.whisperx[305].end |
8793.721 |
transcript.whisperx[305].text |
那銀行端裡面回答我啊到底銀行端怎麼處理他們是誰去做徵信是你們做徵信還是銀行做徵信還是財政部還是金管會因為今天還是核心問題嘛你們一開始跟我保證的這是這個會期講的事情說放上去能量登錄的這些第三方支付都是合法 |
transcript.whisperx[306].start |
8794.602 |
transcript.whisperx[306].end |
8818.208 |
transcript.whisperx[306].text |
合理的合法的公司但是實際上就沒有實際上就是你們放上去的公司5月5、6月5、6月份還在上面的公司今天9月份爆發這個被檢點查獲他為詐騙集團洗錢那你現在還把它撤掉那我現在問你們就算以現在台幣上這幾間公司來講你們到底要怎麼去稽查那到底你們曾經背書過了 |
transcript.whisperx[307].start |
8819.949 |
transcript.whisperx[307].end |
8841.24 |
transcript.whisperx[307].text |
所以銀海跟他們配合了那現在你們當然還在查嘛但是還在查過程裡面誰能夠來為這些地方方支付設定所謂停損如果民眾今天民眾又被詐騙團騙了因為每天都在發生啊你每個月申報的詐騙集團的這個金額高達上百億啊所以比如說從現在開始今天現在12月你還在查你還沒查完 |
transcript.whisperx[308].start |
8842.02 |
transcript.whisperx[308].end |
8853.114 |
transcript.whisperx[308].text |
那12月又被騙上百億一月再騙上百億二月再騙上百億那都是通過這種第三方支付公司去做洗錢的工作那我想問一下數位部的功能你們做這個所謂的能量登錄的功能在哪裡 |
transcript.whisperx[309].start |
8860.664 |
transcript.whisperx[309].end |
8875.074 |
transcript.whisperx[309].text |
委員回報一下就是銀行當然他也會有自己的集合的程序這個反而他就有一些相關的程序那我們這邊其實是因為資訊來源很大的一部分除了我們蒸汽以外還有電話局這邊我們跟電話局其實有密切的合作 |
transcript.whisperx[310].start |
8875.754 |
transcript.whisperx[310].end |
8897.512 |
transcript.whisperx[310].text |
到時候調查局其實為了我們會協同調查局跟國稅局去做集合好那這個你們提書費報告吧因為這個你們講很多次了我之前每次問你們都跟我講會跟調查局會跟銀行會跟計畫合作但是事實證明就這件事情是無效的那最後一點時間我再問一次齁再問一件事情除了第三方支付公司之外還有一個管道之前大家也提醒過很多次就是所謂超商繳費稅務管不到 |
transcript.whisperx[311].start |
8900.318 |
transcript.whisperx[311].end |
8926.015 |
transcript.whisperx[311].text |
這個數位部超商講會的問題你知道這個國內的這些超商業者他們沒有收到欸還有沒有說沒有收到說這個通知說他們不能跟沒有進行能量登錄的公司合作換句話說沒有進行能量登錄的這些公司他們是在銀行端你們在銀行端這邊有處理的但是這些所謂第三方支付公司他們還是有很多虛擬戰戶有很多虛擬戰戶 |
transcript.whisperx[312].start |
8928.837 |
transcript.whisperx[312].end |
8930.059 |
transcript.whisperx[312].text |
知道,那這已經也有處理,請素查說明。 |
transcript.whisperx[313].start |
8946.442 |
transcript.whisperx[313].end |
8946.822 |
transcript.whisperx[313].text |
這個條代碼跟某個公司對應是確實這樣我知道 |
transcript.whisperx[314].start |
8969.673 |
transcript.whisperx[314].end |
8991.307 |
transcript.whisperx[314].text |
但是我認為說詐騙行為發生的那一刻他是要詐騙行為發生之後檢體掉介入了我才會知道這個錢這個帳戶是被騙的嗎是假的嗎那我說前端呢前端超商我在跟這些第三方支付公司合作的時候我需要怎麼樣認證我需要知道什麼消息我才能夠跟這個第三方支付公司來簽約 |
transcript.whisperx[315].start |
8992.568 |
transcript.whisperx[315].end |
8992.588 |
transcript.whisperx[315].text |
委員會議 |
transcript.whisperx[316].start |
9017.253 |
transcript.whisperx[316].end |
9041.856 |
transcript.whisperx[316].text |
今天要跟某間第三方支付公司合作的時候你們的所謂的能量登錄或是其他的機制能不能跟超商去要求或怎麼樣配合他們去審核還是跟現在一樣就是自由奔放的想跟誰合作就跟誰合作現在就是這樣啊跟委員回報就是我們現在有64家登錄通過的當然超商會找這個64家他們沒有收到通知啊他們說他們沒有收到通知啊 |
transcript.whisperx[317].start |
9042.566 |
transcript.whisperx[317].end |
9053.175 |
transcript.whisperx[317].text |
那我們會再來跟經濟部這邊再來通知我們上次已經找四大超商那個已經cover台灣大部分的這個這個條代碼的一個代收代付這樣子 |
transcript.whisperx[318].start |
9053.834 |
transcript.whisperx[318].end |
9053.974 |
transcript.whisperx[318].text |
好,謝謝黃委員 |
transcript.whisperx[319].start |
9085.202 |
transcript.whisperx[319].end |
9087.863 |
transcript.whisperx[319].text |
接下來有請廖謙祥委員發言好謝謝昭偉麻煩我們的黃部長黃部長那個數位任性司政事長也可以陪同 |
transcript.whisperx[320].start |
9109.755 |
transcript.whisperx[320].end |
9135.001 |
transcript.whisperx[320].text |
部長昨天發生一件國際大事應該非常清楚昨天夜間的時候南韓總統發布了戒嚴當然最終大家是形容是以失敗告終雖然說最後一次他說解除戒嚴當然他認為他戒嚴失敗那過程中大家正式撇開政治的問題在實務執行上他這一次戒嚴會失敗的原因 |
transcript.whisperx[321].start |
9136.201 |
transcript.whisperx[321].end |
9147.691 |
transcript.whisperx[321].text |
其實跟我們數位發展部的業務其實多多少少如果說移植到我們國內的話也有一點點關係如果說以這一次南韓戒嚴失敗來講的話你覺得他哪一點沒有做好才會失敗 |
transcript.whisperx[322].start |
9151.562 |
transcript.whisperx[322].end |
9176.831 |
transcript.whisperx[322].text |
這個事件我知道那個起源跟那個因為報告委員我沒有特別去研究不過我覺得這個民主國家是這樣子啦就是說這個本來就是一個不應該發生的事情因為任何的這個沒關係我們不用去評論他啦畢竟是他我師父我們講人家可能也不太好就像我們執政黨發文去批評人家國會我覺得都不太好啦就實務面來講 |
transcript.whisperx[323].start |
9178.65 |
transcript.whisperx[323].end |
9197.056 |
transcript.whisperx[323].text |
當他總統發布建言的時候那為何他沒有辦法在第一個時間控制住國內的輿論群眾或者是讓國會議員沒辦法讓軍隊控制住國家我要講的你應該很清楚他沒有控制網路對不對他沒有控制通訊網路 |
transcript.whisperx[324].start |
9198.476 |
transcript.whisperx[324].end |
9215.559 |
transcript.whisperx[324].text |
所以他失敗了這很多因素之一但通訊網路沒有控制是一個很大的原因那假設中華民國的總統今天說要發布戒嚴中華民國的總統全部要發布戒嚴那來諮詢我們速發布的意見要控制我們的網路您會建議他怎麼做 |
transcript.whisperx[325].start |
9216.48 |
transcript.whisperx[325].end |
9238.698 |
transcript.whisperx[325].text |
報告委員我們是一個自由民主國家我們網路是一個分散治理其實在以現在的那個機制來講我們沒有辦法完全去封鎖我們不是像中國有個什麼規模規模這種長程去整個就封鎖我們台灣是做不到的是基本上我們台灣是沒有這個機制也沒有這個能力去我們的國家政府沒有辦法 |
transcript.whisperx[326].start |
9239.719 |
transcript.whisperx[326].end |
9257.395 |
transcript.whisperx[326].text |
下令中華電信停止服務嗎?沒有,因為我們有很多所謂的...中華電信也是國營啊,它不會配合嗎?可是我們的網路有接取有太多種,不只是一類電信還有二類電信所以有分好幾種嘛,我們的網路有分兩種包括我們現在在講國家數位任性的時候我們就是把傳統的光纖這個... |
transcript.whisperx[327].start |
9259.477 |
transcript.whisperx[327].end |
9286.775 |
transcript.whisperx[327].text |
光瀾去跟中低軌的衛星去做一個區隔去增加它的韌性但是在實體的電纜這個部分國家應該是很容易去做控制跟封鎖的沒錯吧也也因為這個能夠經營這個實體跟這個網路的也蠻多公司的所以我覺得主要是說你要封鎖要針對某一個user或某一個去封鎖在我們台灣市或是你要封鎖國外的網站某個網站完全封鎖 |
transcript.whisperx[328].start |
9287.375 |
transcript.whisperx[328].end |
9314.084 |
transcript.whisperx[328].text |
直接切斷整個網路呢整個切斷網路那就是那個會造成更多問題對啊那如果說政府下令這樣子那目標是這樣子我們要問你說這樣對不對你就是一個政府的官員嘛提供專業意見嘛當政府想要切斷我們國內的網路的時候那分兩部分嘛一個是實體的網路嘛做不做得到實體網路目前來講因為我們實體網路經營的公司還蠻多的所以 |
transcript.whisperx[329].start |
9315.956 |
transcript.whisperx[329].end |
9331.383 |
transcript.whisperx[329].text |
我個人覺得困難很多啦就是說也不是那麼容易因為我們剛剛講網路是個分散治理分散服務的一個我們在台灣是這樣子所以我們並沒有個中央集權去控制整個網路的流量或是網路裡面的言論那這樣子我們談數位認清幹嘛 |
transcript.whisperx[330].start |
9332.924 |
transcript.whisperx[330].end |
9348.66 |
transcript.whisperx[330].text |
我們如果說我們談數位任性我們國家沒有辦法控制的話那何況是外部勢力我們現在一直在講外部勢力如果說介入我們國家的通訊安全的時候我們要任性嘛結果現在連我們自己的國家都不怕這個就是說我們的網路我們很安全沒有問題連國家都沒有辦法中斷了那國外的外部勢力怎麼中斷這樣不是有點矛盾嗎 |
transcript.whisperx[331].start |
9355.387 |
transcript.whisperx[331].end |
9380.919 |
transcript.whisperx[331].text |
拜託委員這個是主要是說我講說網路的基礎架構這個是一個分散式治理所以我們除非有就是說基本上要把它完全封鎖是有它的困難但是呢就是說如果將來就像剛剛講說特定的那些不當的言論就是我們要不同的方法去做這個管理那但是管理剛剛講就是說我們這樣可以從這個為什麼我們會有這個所謂的這個打詐專法就是為什麼要針對某些 |
transcript.whisperx[332].start |
9384.941 |
transcript.whisperx[332].end |
9385.442 |
transcript.whisperx[332].text |
市長現在還有衛星還有衛星嘛 |
transcript.whisperx[333].start |
9404.105 |
transcript.whisperx[333].end |
9424.818 |
transcript.whisperx[333].text |
我現在就要對實體網路封閉之後我們有衛星因為我們也是怕說我們的海底電纜是不是被境外的勢力切斷嘛所以我們現在在討論韌性網路衛星網路那我們現在的國內的衛星網路是不是全部都是走B2B的模式就是他可能都知道透過中華電信或是一個代理商經過我們政府的許可 |
transcript.whisperx[334].start |
9425.478 |
transcript.whisperx[334].end |
9436.953 |
transcript.whisperx[334].text |
他才能夠營業因為我們甚至包括之前大家在廣泛討論的Starlink的時候因為他沒有辦法符合我們國家法定那個這個股權的比例我們國內必須要超過50%對不對他沒有辦法符合比例所以說在 |
transcript.whisperx[335].start |
9441.824 |
transcript.whisperx[335].end |
9463.993 |
transcript.whisperx[335].text |
這個中低軌衛星網路的部分還是做到我們國家高度的監管嘛是不是所以說我們國家是有這個權利去廢止它的一個營運的許可包括我們發布戒嚴的時候現在包括我們的實體網路我們可能可以透過這個接收站的一個封鎖那包括我們的這個衛星中低軌網路我們也可以廢止營運商的一個營運吧是不是國家是不是有這個權利 |
transcript.whisperx[336].start |
9468.075 |
transcript.whisperx[336].end |
9483.708 |
transcript.whisperx[336].text |
如果一定要把所有對外的這個所有的管道包括光纖海底電能跟衛星都封鎖那當然就是說最後就只剩下我們自己國家發射的衛星可以使用那時候他要給用誰用就很簡單了對不對可是這個這個 |
transcript.whisperx[337].start |
9484.989 |
transcript.whisperx[337].end |
9510.78 |
transcript.whisperx[337].text |
我還是覺得這困難性蠻高的啦那就是說這個東西假設也就是說我們國家可以做到我們要給誰網路不給誰網路這件事情我們是做得到的是不是我們只要切斷所有外面的網路的連結利用我們國家自己發射的低軌衛星我們現在在佈置的嘛對不對我們就可以很輕易的去選擇我們要提供給誰網路資訊服務不給誰網路資訊服務對不對我報告委員我那個這個 |
transcript.whisperx[338].start |
9511.9 |
transcript.whisperx[338].end |
9540.229 |
transcript.whisperx[338].text |
我是認為我們是法治國家這個事情不會發生我的問題你可以吐槽我沒關係啊你可以說我不對哪裡不對嘛就是就是這個就當然就講說如果你發生這個像剛剛講就是說把我們的海底電纜全部阻隔包括衛星全部阻隔那因為海底電纜也有其他國家我們現在像進來我們國家海底電纜包括google包括Amazon |
transcript.whisperx[339].start |
9540.529 |
transcript.whisperx[339].end |
9558.395 |
transcript.whisperx[339].text |
他們也都在拉電腦這樣所以你說把中華電信切斷是完全切斷網路倒也不至於因為我們事實上這個網路目前部件像他們在臺灣設電腦那總算還是有接收站嘛對不對那個包括光就海底電腦其實好啦我今天就跟部長討論一下我也不是說一定說就是討論這次的問題還怎麼樣 |
transcript.whisperx[340].start |
9560.376 |
transcript.whisperx[340].end |
9587.048 |
transcript.whisperx[340].text |
我們在討論數位韌性的時候過去常常是講國家對國家我們當我們國家遇到了一些問題的時候可能會因為封鎖的問題影響到我們國內的資通訊的網路但是我們從來沒有思考過國家跟人民之間的關係當我們國家今天不要講民進黨你也可以想說有一天國民黨重新執政了國民黨要搞戒嚴要來中斷網路的時候我們怎麼建立人民的數位韌性怎麼做得到 |
transcript.whisperx[341].start |
9587.688 |
transcript.whisperx[341].end |
9601.289 |
transcript.whisperx[341].text |
最重要的一定要開放B2C的軌道衛星部長會不會認同這個要是看我們台灣的法律如果法律允許的話當然是可以所以台灣現在目前可不可以走B2C的衛星 |
transcript.whisperx[342].start |
9602.99 |
transcript.whisperx[342].end |
9605.553 |
transcript.whisperx[342].text |
現在還沒有開放嗎?現在還沒有開放嗎?羅雷?現在就是都走代理嗎? |
transcript.whisperx[343].start |
9619.269 |
transcript.whisperx[343].end |
9634.87 |
transcript.whisperx[343].text |
那另外一個先前有個新聞委員應該也看到了就是現在的臺科大他藉由手機可以支援衛星所以其實人民還是有擷取這網路的權利只不過要營業這樣的行為必須在我國登記為電影事業以上跟我們報告 |
transcript.whisperx[344].start |
9635.23 |
transcript.whisperx[344].end |
9635.33 |
transcript.whisperx[344].text |
拜訪委員 |
transcript.whisperx[345].start |
9657.045 |
transcript.whisperx[345].end |
9657.526 |
transcript.whisperx[345].text |
謝謝廖委員 現在休息10分鐘 |
transcript.whisperx[346].start |
10273.015 |
transcript.whisperx[346].end |
10279.001 |
transcript.whisperx[346].text |
好,我們繼續開會現在有請陳雪真委員發言剛才那個調查局打電話來今天是我們專委魯明哲委員的生日來點掌聲好不好 |
transcript.whisperx[347].start |
10300.322 |
transcript.whisperx[347].end |
10322.678 |
transcript.whisperx[347].text |
你幹嘛講調查局啊有點壓力我哪有那麼厲害祝我們召委生日快樂長命百歲早生貴子生完了生完了是不是請我們黃志偉謝謝黃部長黃部長對不起部長我接續上一次的質詢 |
transcript.whisperx[348].start |
10330.441 |
transcript.whisperx[348].end |
10331.983 |
transcript.whisperx[348].text |
昨天我看你們的官網 |
transcript.whisperx[349].start |
10348.956 |
transcript.whisperx[349].end |
10351.598 |
transcript.whisperx[349].text |
那在遠船的部分遠船的部分南竿大概只有四圍村可能老家記一下 |
transcript.whisperx[350].start |
10383.811 |
transcript.whisperx[350].end |
10405.795 |
transcript.whisperx[350].text |
市委村還收不到,北竿大概我講遠傳的部分北竿大概各村都通,但是村外村落以外的都收不到,那舉光那邊大概除了清凡跟大屏、福鎮、涵蓋率上渴了 |
transcript.whisperx[351].start |
10407.253 |
transcript.whisperx[351].end |
10432.448 |
transcript.whisperx[351].text |
其他村莊也都收不到,全無東雲鄉就是樂華村跟中柳村含要率尚可其他地區也收不到我講到其他地區可能我們有阿兵哥有軍人防衛部、指揮部、營部、聯部我想馬祖地區我們居民一家同島一命 |
transcript.whisperx[352].start |
10434.736 |
transcript.whisperx[352].end |
10461.042 |
transcript.whisperx[352].text |
這個部隊的部分也勞駕能夠幫忙一下好不好部長先跟委員報告我們在12月2號有開了針對這個問題有開了一個會那我們在偏鄉就是說在預算方面我們變成2.25億就希望能夠改進剛剛講到馬祖這個5G的涵蓋那細節是不是請市長再進一步說明好你說明一下勒 |
transcript.whisperx[353].start |
10463.401 |
transcript.whisperx[353].end |
10488.369 |
transcript.whisperx[353].text |
我們上次11月22日委員執行之後我們12月22日立刻就召集了三大針對馬祖地區的建設那所以剛剛我們部長有說我們其實114年前截有2.25億然後呢現在馬祖有125台5G基地台跟委員說明5G所以會不好是因為它後面的背後後面的後船不夠強大所以我們現在這個海南也積極在建置然後我們 |
transcript.whisperx[354].start |
10489.289 |
transcript.whisperx[354].end |
10501.937 |
transcript.whisperx[354].text |
其實明年會再加設9站的基地台以馬祖人口來講總共125加9這個人比例非常高我們會再加謝謝委員今天提供這些資訊我們會再請業者再加錢臺灣大哥大都未達40%未達40% |
transcript.whisperx[355].start |
10511.107 |
transcript.whisperx[355].end |
10538.762 |
transcript.whisperx[355].text |
那麼當然剛才部長也講了113年10月補助5G業者建置15340座的5G基地台全國那是全國全國應該有2萬台了吧?3萬了還2萬?基地台啊?全國10萬台補助的部分是1萬不錯啦,我們目前普及率應該全世界台灣地區算最高的 |
transcript.whisperx[356].start |
10540.541 |
transcript.whisperx[356].end |
10547.646 |
transcript.whisperx[356].text |
114年編任預算2.25億,剛剛部長講了補助電信事業加速在偏遠地區設置5G基地台現在5G時代已經來臨了,離島無感1421億的標金只進不出你看目前 |
transcript.whisperx[357].start |
10569.369 |
transcript.whisperx[357].end |
10590.162 |
transcript.whisperx[357].text |
我們4G的手機大概都已經買不到了市面上沒有了都5G的但是卻還在沿用4G時代的4G的普及率比較高5G的很像還不到達一半還沒有到達一半那我是覺得112年2月2號跟8號我們海嵐中斷兩條 |
transcript.whisperx[358].start |
10597.401 |
transcript.whisperx[358].end |
10620.319 |
transcript.whisperx[358].text |
海產中量兩台那麼大概是中共漁船還是不明的船隻破壞了那麼政府的機關金融交易醫療服務及交通運輸等運作我們受到影響這個到月底才恢復到月底所以這個時間沒辦法即時的轉換 |
transcript.whisperx[359].start |
10625.058 |
transcript.whisperx[359].end |
10653.075 |
transcript.whisperx[359].text |
提升馬祖離島網路的韌性,強化低軌衛星提供全天候的24小時全時段的服務這個是很重要的,部長你覺得呢?目前我們有低軌衛星有8個盤子在馬祖那這個低軌衛星引入馬祖通訊的韌性提升 |
transcript.whisperx[360].start |
10654.69 |
transcript.whisperx[360].end |
10672.28 |
transcript.whisperx[360].text |
也拜託速發部啊你們現在是不是在全時的服務啊?我不曉得你雖然已經完成了全台第一軌衛星的網路的涵蓋但是還沒有到達24小時來提供服務所以本席 |
transcript.whisperx[361].start |
10673.4 |
transcript.whisperx[361].end |
10697.894 |
transcript.whisperx[361].text |
想請教一下截至目前為止全台灣的衛星通訊是不是已經24小時全時在服務?就是12月底前就會全台24小時服務什麼時候開始?12月底就是等那個灣位那邊確認開通應該在目前給我們的數的那個時間是12月底部長那個上次講到我們第四條海欄 |
transcript.whisperx[362].start |
10699.525 |
transcript.whisperx[362].end |
10729.205 |
transcript.whisperx[362].text |
第四條海欄你們要補助中華電要補助多少錢大概?1.4億1.4億?會不會太少了一點?因為我看你們預算編了很多啊NCC所有的經費預算都已經在你們都已經在書發布了嘛所以你這個如果不去處理啊那個我們繼續爭取額外預算來補助這個海底電能1.4億能不能再增加一些?我們去爭取,我們會去爭取 |
transcript.whisperx[363].start |
10730.987 |
transcript.whisperx[363].end |
10755.116 |
transcript.whisperx[363].text |
因為我現在就少三一點嘛是不是?你補助多一點我就少三一點嘛因為這個大家對尤其NCC啊現在任務我看起來已經慢慢逐漸在萎縮了啦齁所有的功能都已經在速發部了那你速發部的角色當然相對的持重啦齁那你中華電信雖然是官民股都有啦齁 |
transcript.whisperx[364].start |
10756.734 |
transcript.whisperx[364].end |
10776.343 |
transcript.whisperx[364].text |
問題是他們有沒有那麼多錢我是很懷疑是不是請數法部這邊在經費補助的部分能夠再做一些檢討稍微給他調整一下我們加速第四條海欖線的進行那麼尤其海欖在中斷的時候你們低軌衛星怎麼樣進場 |
transcript.whisperx[365].start |
10779.12 |
transcript.whisperx[365].end |
10779.941 |
transcript.whisperx[365].text |
接下來有請邱若驊委員發言 |
transcript.whisperx[366].start |
10812.261 |
transcript.whisperx[366].end |
10840.285 |
transcript.whisperx[366].text |
謝謝主席首先先祝主席生日快樂那主席我們有請事務發布黃部長好黃部長部長好部長我們先來看到第一張投影片請問部長這兩張圖差別在哪裡兩張圖下面有多個可以看到更多的說明可以什麼樣的說明 |
transcript.whisperx[367].start |
10841.837 |
transcript.whisperx[367].end |
10868.52 |
transcript.whisperx[367].text |
就是這個什麼東西不見了就是上網點擊人數不見了點擊人數不見了那11月13日的時候黃國昌在我們交通委員會質詢的時候有針對素材署樂齡好幫手網站點閱率過低的問題提出質詢那隨後本席辦公室在11月28日上該網站上面查詢點擊率的時候發現點擊率消失了不見了 |
transcript.whisperx[368].start |
10869.341 |
transcript.whisperx[368].end |
10885.362 |
transcript.whisperx[368].text |
本席立即向素材署詢問為什麼點擊率會消失呢那素材署給本席的回覆是部長您參考因為使用者習慣不同所以會讓個別網站的點擊率過低所以個別的點擊率呢他不適合作為找尋平台資源的參考依據請問部長 |
transcript.whisperx[369].start |
10886.664 |
transcript.whisperx[369].end |
10888.225 |
transcript.whisperx[369].text |
為什麼原本在網站上的點擊率被拿下來了呢? |
transcript.whisperx[370].start |
10906.872 |
transcript.whisperx[370].end |
10926.304 |
transcript.whisperx[370].text |
因為剛剛就像他那邊所講的就是事實上我們整個的效率單看單一個點因為有4000多個網頁可以看所以如果單看某一個當然他的數目可能不高可是整體來看他是超過8萬人不小心在你的說法如果認為個個別的點局不適合呈現那為什麼一剛開始要放在網站上面了 |
transcript.whisperx[371].start |
10928.843 |
transcript.whisperx[371].end |
10946.09 |
transcript.whisperx[371].text |
為什麼是在黃國昌委員質詢之後才遮蔽典舉律?這是不是鴕鳥事態?我個人認為說這個也不叫遮蔽就是說我們希望看到是整體的效益而不是單疊各個網頁的效益所以才會講說那我們是不是把這個展現的方式做點調整 |
transcript.whisperx[372].start |
10946.65 |
transcript.whisperx[372].end |
10956.796 |
transcript.whisperx[372].text |
是展現還是想要逃避?是要逃避國會的監督嗎?沒有逃避因為我們還是會展現所有的點擊率所以所有點擊率剛剛講超過8萬人次這個還在上面這沒有消失 |
transcript.whisperx[373].start |
10957.364 |
transcript.whisperx[373].end |
10984.536 |
transcript.whisperx[373].text |
這沒有消失可是剛在圖片上面看到我們確實點擊率是整體的網頁的那個點擊率那個在在這個這個那部長你可以再上去網頁上面看看現在都是看不到了那對於速發部本來就是要促進高齡者生活便利而建置的網站本心給予肯定還有支持可是遇到這個網頁點閱成效不彰的時候應該是要去面對吧是要去我我還有想辦法提升民眾的使用率我們要去promotion就是說我們要去做多點做點宣傳 |
transcript.whisperx[374].start |
10985.536 |
transcript.whisperx[374].end |
10994.28 |
transcript.whisperx[374].text |
所以你們自己本身有沒有去參考大數據去分析高齡者他們的興趣然後還有相關的愛好的文章還有問題你們有去做分析嗎 |
transcript.whisperx[375].start |
10995.595 |
transcript.whisperx[375].end |
11016.69 |
transcript.whisperx[375].text |
那個因為剛剛講就是這個東西是在我們是在10月10月21日上線所以所以這個資料的update一直在增加所以在黃委員黃國昌委員實施我們算是11月初的事情所以上線不到一個月那個是那時候show出來的number那現在我們這個這個經過這就多了一個月現在 |
transcript.whisperx[376].start |
11017.23 |
transcript.whisperx[376].end |
11039.76 |
transcript.whisperx[376].text |
是還是要請部長還有數位發展部就是被委員諮詢之後也不要用這種逃避的心態然後去遮蔽這個點閱率那也請數位發展部跟數位產署研議那如何有效推廣網站之對策還有另外點閱率為全民的監督政府之依據不應該被隱藏好那我們再來看到針對昨天的霸凌事件這邊要先請問部長 |
transcript.whisperx[377].start |
11042.472 |
transcript.whisperx[377].end |
11067.928 |
transcript.whisperx[377].text |
公務人員考積法第6條規定規定年中考積以100分為滿分分為甲乙丙丁4等請問部長公務人員評評中有混蛋這個等級嗎?那個報告委員這個事情我們正在內部調查中如果有不適當就是說調查結果出來在12月11號出來後我們會做立即處理所以這個所以沒有這個等級嗎?為什麼有基層員工爆料有長官很喜歡用混蛋來評比公務人員所以我我 |
transcript.whisperx[378].start |
11068.648 |
transcript.whisperx[378].end |
11070.229 |
transcript.whisperx[378].text |
這樣的評比是出於第一兩三嗎? |
transcript.whisperx[379].start |
11070.229 |
transcript.whisperx[379].end |
11092.877 |
transcript.whisperx[379].text |
這不應該有這種語言出現所以我就說這個是第一個我們需要有幾個部分一個就是說以後我會跟這個我的這個部門的主管講就是這個我們特別有想到說我們要有鐵的機率但是也要愛的教育就是說跟這個我們的這個所謂的部門的同仁溝通的時候要特別把愛放在心上所以若有愛在 |
transcript.whisperx[380].start |
11093.297 |
transcript.whisperx[380].end |
11099.632 |
transcript.whisperx[380].text |
有愛的教育有鐵的紀律然後還有混蛋這個評價那另外我要再問到那再來我要請教部長一個問題打X是什麼意思 |
transcript.whisperx[381].start |
11104.558 |
transcript.whisperx[381].end |
11127.279 |
transcript.whisperx[381].text |
報告委員這個我不清楚但是我們在調查就我會把它弄清楚現在這是數發部的職場文化嗎因為有的很喜歡給基層打差當然不是我們沒有這樣的一個那個絕大部分的主管跟這個我們部門同仁的溝通目前絕大部分啊這個都都都都就是說目前並沒有太多並沒有任何的抱怨但是少數那這我們在調查 |
transcript.whisperx[382].start |
11128.22 |
transcript.whisperx[382].end |
11141.19 |
transcript.whisperx[382].text |
因為11月20日的時候院長就要求各部會要來做清查然後數位發展部司長就被爆料了那本席對於數位發展部發覺自己內部能力的問題更是要打上一個大大的差還是部長你要不要給自己打一個差 |
transcript.whisperx[383].start |
11144.503 |
transcript.whisperx[383].end |
11161.402 |
transcript.whisperx[383].text |
我剛剛特別跟委員講就是說有一些不當的言語跟不當的行為我們調查之後我們會做處置那當然這個是非常不恰當的那我這邊剛剛也跟其他委員說我特別為這件事情做個道歉就是這個我們會事後處理 |
transcript.whisperx[384].start |
11163.277 |
transcript.whisperx[384].end |
11175.522 |
transcript.whisperx[384].text |
部長您昨天有回應已經成立專案小組了然後調查報告什麼時候出來12月11號以前會出來12月11號那部長您對數發布發生辦理案件部長您掌握多少瞭解多少那個 |
transcript.whisperx[385].start |
11178.45 |
transcript.whisperx[385].end |
11206.882 |
transcript.whisperx[385].text |
我在那個11月22號在院長在在在要求調查的時候我已經交代我們的部門的那個主管說我們開始要做內部調查那這個過程中當然發生了這些所謂的這些申訴案我們當然就要立刻處理那當然就是說至於說這個申訴我們剛剛講我們請了所謂的我們有請了幾個外部的專家包括學法律專家跟心理輔導專家從各個層面去評估這個事情的發生的原因背景跟他的行為 |
transcript.whisperx[386].start |
11207.702 |
transcript.whisperx[386].end |
11219.806 |
transcript.whisperx[386].text |
那蘋果報告出來後我們就會立刻處理所以是不是啊那本期希望這不是只是一個走一個流程跟走一個形式然後就吵吵結案了這邊問部長一個問題部長你今天的點心買了嗎部長你吃點心嗎點心對 |
transcript.whisperx[387].start |
11222.54 |
transcript.whisperx[387].end |
11248.516 |
transcript.whisperx[387].text |
通常不是我為什麼會問這個問題是因為原本規定開會喔便當或是點心喔只要一提供即可可是啊就有長官卻無視已經原本有會議便當了還強制要求公務員再提供點心導致公務員他不能違背這個法規下的前提他只能自己操腰包然後吸收買單部長您知道嗎這個也是在調查裡面這也在調查裡面那部長您知道師長的一個月薪水多少錢嗎師長的薪水 |
transcript.whisperx[388].start |
11256.294 |
transcript.whisperx[388].end |
11261.198 |
transcript.whisperx[388].text |
市長有人可以替部長做回答嗎?一定是不少啦那為什麼好沒關係部長那為什麼在數位發展部還有還有還有長官要基層公務人員替市長來做買單 |
transcript.whisperx[389].start |
11276.157 |
transcript.whisperx[389].end |
11285.45 |
transcript.whisperx[389].text |
這是不當的行為這是不當的行為喔那本席知道這個就是這只有一個感受啦稀有廖天丁劫富濟貧啊今有鄭市長劫貧濟急財謀趁中華對市長趁點心喔 |
transcript.whisperx[390].start |
11290.39 |
transcript.whisperx[390].end |
11316.187 |
transcript.whisperx[390].text |
那再來看到還有聽說師長的肺活量極差未來有沒有要接近徐明春部長開演唱會還是明年在中華隊資格經典賽的時候要不要請師長去球場用他強而有力的肺活量替我們中華隊來做應援呢就是我們這個要謹守這個公務人員應有的規範所以這個事情我們會部長您知道有咆哮下屬的這件事嗎 |
transcript.whisperx[391].start |
11317.779 |
transcript.whisperx[391].end |
11318.779 |
transcript.whisperx[391].text |
接下來有請徐副魁委員發言 |
transcript.whisperx[392].start |
11354.503 |
transcript.whisperx[392].end |
11355.785 |
transcript.whisperx[392].text |
謝謝主席 我們有請黃部長黃部長 |
transcript.whisperx[393].start |
11365.433 |
transcript.whisperx[393].end |
11376.782 |
transcript.whisperx[393].text |
委員好部長好部長根據我們這個提交的一個預算報告我們114年度編列數位創新關鍵基礎建設計畫的預算是1億9千多萬那因為這個計畫是從113年到116年是4年的計畫但是我們從這個今年執行的狀況來看今年好像執行率只有14.5%截至8月份 |
transcript.whisperx[394].start |
11393.055 |
transcript.whisperx[394].end |
11399.806 |
transcript.whisperx[394].text |
那不曉得這個問題出在哪裡?這樣會不會影響到後續這三年的一個執行一個進度?我請那個國際市的市長來做個說明 |
transcript.whisperx[395].start |
11404.076 |
transcript.whisperx[395].end |
11430.305 |
transcript.whisperx[395].text |
謝謝委員給我的時間有關於預算的諮詢率的部分因為我們在執行的過程中會有涉及到非常多的利害關係者必須要做充分的討論所以這諮詢率的整個開發的期程就會比較壓縮一點可是我們在這個壓縮過程中我們也希望說開發出來的東西是確保能夠非常的安全 |
transcript.whisperx[396].start |
11430.985 |
transcript.whisperx[396].end |
11457.903 |
transcript.whisperx[396].text |
那所以我們目前的諮詢率原則上在今年年底會達到基本的門檻值那明年後年的預算的執行就不受到整個專案執行期程的影響以上說明部長市長因為這個案子剛有提到因為是需求很複雜而且必須要整合很多多方的一個利害關係人的一個意見那但是當時我們在執行的時候難道這些問題沒有事先來做規劃嗎 |
transcript.whisperx[397].start |
11459.905 |
transcript.whisperx[397].end |
11465.23 |
transcript.whisperx[397].text |
這個包含這個風險評估嗎為什麼現在還得討論說這個執行率的問題會出現這樣的一個狀況這個這裡面有幾個重要計畫像數位皮夾計畫確實要牽涉到跟其他部會的溝通那所以這個的確在執行上需要討論跟溝通的那個過程會比較複雜跟比較冗長 |
transcript.whisperx[398].start |
11483.107 |
transcript.whisperx[398].end |
11501.454 |
transcript.whisperx[398].text |
但我也希望說能夠儘速的追上原來預計的執行的進度因為畢竟這裡面有幾個計畫是我們數位的這個所謂關鍵基礎建設是一個蠻多創新在裡面那這個如果推動得出來的話對政府的效率會有很高的提升所以我個人是對這計畫有蠻多的期許 |
transcript.whisperx[399].start |
11503.816 |
transcript.whisperx[399].end |
11526.875 |
transcript.whisperx[399].text |
我們都支持但是就是說還是要提醒說因為現在預算會期我們所有的立委大家也都會關注我們過去的執行的狀況跟未來你們便利的預算是不是合理執行上會不會有問題因為這個會影響到我們整個施政的方針跟我們這個百姓的一些福祉所以包含我們現在跨境數據這個授權系統的部分目前這個還有問題嗎 |
transcript.whisperx[400].start |
11528.885 |
transcript.whisperx[400].end |
11533.186 |
transcript.whisperx[400].text |
數位批夾目前的階段已經有一些雛形的版本目前已經開始在召開包含政府間還有產業間之間的整個數位批夾的一個應用方式跟後續的一個發展規劃 |
transcript.whisperx[401].start |
11554.171 |
transcript.whisperx[401].end |
11568.97 |
transcript.whisperx[401].text |
對,這個本席要提醒齁,這不要當時我們都推出這麼好的一個政策就跟數位身份證一樣,到最後將無疾而終,這個也被外界很多的指引齁,這個我們既然要講要做就應該要有具體的一個節奏啦齁,這點再提醒一下部長 |
transcript.whisperx[402].start |
11569.551 |
transcript.whisperx[402].end |
11594.512 |
transcript.whisperx[402].text |
我想數位創新關鍵的基礎建設計畫是有助於提升我們的一個基礎設施和促進一個跨境合作跟加速數位轉型的一個重大意義那這部分還是請部長我們團隊再強烈努力那針對行政院在去年訂定的新世代打擊炸氣的一個策略可能領1.5版那我知道我們數位部預計在明年就要推動這個2.0版 |
transcript.whisperx[403].start |
11596.934 |
transcript.whisperx[403].end |
11611.306 |
transcript.whisperx[403].text |
那不巧目前部長這個我們執行的進度是怎麼樣對就是在就是我們這個2.0版我們數話部被賦予一個主導的角色叫防詐那這邊委員所列的就是我們防詐目前會執行的一些 |
transcript.whisperx[404].start |
11612.006 |
transcript.whisperx[404].end |
11613.066 |
transcript.whisperx[404].text |
委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會 |
transcript.whisperx[405].start |
11640.154 |
transcript.whisperx[405].end |
11662.131 |
transcript.whisperx[405].text |
就會在這個方面就所謂的廣告實名制然後會讓這些平台上的所謂的詐騙廣告包括假名人廣告會大量減少所以這個已經預期那其實目前已經Google跟Nine已經全部配合他們已經執行實名制那這個Facebook大概在明年年底前會全面配合 |
transcript.whisperx[406].start |
11662.811 |
transcript.whisperx[406].end |
11685.418 |
transcript.whisperx[406].text |
所以這個方面我相信在目前已經減少大概九成了我們目前已經看到這個詐騙廣告在這個平台已經減少九成那明年應該會減少更多所以這個應該在這一方面我們會看到其他的像遊戲點數啊這個第三萬支付都有精進措施然後有這個所謂的網路平台所謂的遊戲平台都有一些也都看到效果 |
transcript.whisperx[407].start |
11686.518 |
transcript.whisperx[407].end |
11704.425 |
transcript.whisperx[407].text |
總結來說,我們會繼續努力的加強防詐的工作希望從源頭就防止詐騙集團這是目前我們的做法部長我想包含第三方支付跟遊戲點數詐騙這些案子的處理當然我想我們還是需要公司來協力合作 |
transcript.whisperx[408].start |
11705.205 |
transcript.whisperx[408].end |
11723.201 |
transcript.whisperx[408].text |
那當然就是說這個溝通的過程裡面當然部長也很辛苦但是我覺得我們還是要加快時程尤其包含這些電信業者也好銀行端的部分怎麼樣來做一個有效整合我們還是要有一些的這個具體的一個操作的一個量化的一些成績出來我提醒 |
transcript.whisperx[409].start |
11724.005 |
transcript.whisperx[409].end |
11741.163 |
transcript.whisperx[409].text |
好,不然那我請教一下針對這個AI的這個網路主動式的那個防禦關鍵技術這個案子那目前我們在便利的預算上面明顯我們感覺到計畫的目標跟成果鏈結不足那這部分我們怎麼樣來強化這個部分 |
transcript.whisperx[410].start |
11744.546 |
transcript.whisperx[410].end |
11764.533 |
transcript.whisperx[410].text |
這個計畫是我們補助治安院那治安院已經有根據這個這個把一些所謂KPI預計的KPI已經做了更明顯的說明那是不是請這個那報告委員最主要這個計畫大概就是說他駭客現在在用生人式AI進行攻擊之後他在一些技術或 |
transcript.whisperx[411].start |
11765.754 |
transcript.whisperx[411].end |
11781.175 |
transcript.whisperx[411].text |
或實效上會更加的提升所以我們大概這個部分我們就會委託資安院再去做用深圳市AI的方式當防守方然後來用AI的技術讓攻擊方能夠在實效或效能上能夠達到一次 |
transcript.whisperx[412].start |
11782.196 |
transcript.whisperx[412].end |
11806.224 |
transcript.whisperx[412].text |
那我們有沒有什麼具體的一些指標可以來直接反映所謂的一個AI的研發的一個水準包括有一些國際專利的一些申請數量還有技術商品化的一個進度這些有沒有比較具體的一個東西有包括委員我們大概在第一年補助在資安院的話我們在後續的相關的跟他所謂簽署補助契約條件的部分會把委員今天所 |
transcript.whisperx[413].start |
11807.384 |
transcript.whisperx[413].end |
11808.365 |
transcript.whisperx[413].text |
所以這個部分我們都會列入未來的KPI |
transcript.whisperx[414].start |
11832.648 |
transcript.whisperx[414].end |
11849.079 |
transcript.whisperx[414].text |
目標二提到的推動友善的一個AI資安研發生態包含辦理這個技術交流材料的開發部分那這部分是不是有同樣有一個量化的一個達到的一個程度是這個也會就未來也會有一個量化的量化的一些指標跟數據 |
transcript.whisperx[415].start |
11850.44 |
transcript.whisperx[415].end |
11867.547 |
transcript.whisperx[415].text |
我想這個AI的一個網路主動防禦關鍵的技術研究這個是我們提升這個治安技術升級的很重要的一步但是現在既有的目標設定成果鏈結跟效益的一個量化本身還是認為還有加強的空間這部分請部長跟我們團隊繼續來努力謝謝委員提醒 |
transcript.whisperx[416].start |
11870.868 |
transcript.whisperx[416].end |
11887.207 |
transcript.whisperx[416].text |
那最後我想剛剛我們很多委員都提到我們這個職場霸凌這個案子那我想這個也是行政院之前有一直有請相關部會一定要審慎處理的一個重要的一個作為那我想部長 |
transcript.whisperx[417].start |
11887.888 |
transcript.whisperx[417].end |
11887.908 |
transcript.whisperx[417].text |
謝謝委員謝謝 |
transcript.whisperx[418].start |
11914.875 |
transcript.whisperx[418].end |
11918.796 |
transcript.whisperx[418].text |
好謝謝許委員接下來有請蔡吉昌委員發言謝謝主席請黃部長黃部長 |
transcript.whisperx[419].start |
11943.68 |
transcript.whisperx[419].end |
11958.416 |
transcript.whisperx[419].text |
部長還是我們繼續就打詐的議題再跟你請教這個上一次本席已經提到這個執法我們要公告來實施本席上次質詢我也很關心說那是不是 |
transcript.whisperx[420].start |
11959.656 |
transcript.whisperx[420].end |
11980.193 |
transcript.whisperx[420].text |
一月一號開始我們就可以開始對於實名制如果這些通路平台沒有做到我們就可以開始進行相關的這個處分那我又看到這個Meta宣稱明年一月底廣告代理商全面落實實名制 |
transcript.whisperx[421].start |
11981.394 |
transcript.whisperx[421].end |
12004.774 |
transcript.whisperx[421].text |
部長你有看到這個嗎有,他有跟我們討論那就是實際上是從這個月現在12月開始他是分成高風險、中風險跟低風險先從高風險的所謂的廣告的用戶開始執行實名制那廣告用戶的實名制這個一月底的意思就是說如果到一月底他還沒有辦法落實廣告 |
transcript.whisperx[422].start |
12006.115 |
transcript.whisperx[422].end |
12031.955 |
transcript.whisperx[422].text |
用戶的實名制那訴發部要怎麼處理就開始進入那個我們的那個法規就是罰錢就罰則了嘛進入罰則這個數字啊這個是他們自己講的就我上一次我已經擔心了嘛你說1月1號我就跟你講1月1號甘做會搞你看他現在馬上跟你講1月底了嘛那我現在開始又先預測啦希望我的預測不要再審準一次到1月底他又說還沒準備好跟你說2月底 |
transcript.whisperx[423].start |
12033.032 |
transcript.whisperx[423].end |
12057.314 |
transcript.whisperx[423].text |
部長不能一拖再拖啦這個一定要確實這是他們自己講的喔那第二個部分啊那我們的廣告實名制啊我看一下我們這個這個政策上面啊是不是先從大型大公司開始做起還是說一月底開始只要任何的 |
transcript.whisperx[424].start |
12059.357 |
transcript.whisperx[424].end |
12074.128 |
transcript.whisperx[424].text |
這個上廣告在這些通路平台上面上廣告都要實名字不管你上廣告的公司大跟小一月底是所有的廣告只要是寫個贊助廣告這個贊助商都要經過實名字好所以除了大廠 |
transcript.whisperx[425].start |
12075.149 |
transcript.whisperx[425].end |
12100.356 |
transcript.whisperx[425].text |
就大的這些銀行那什麼之外任何只要你要做廣告的都要實名制只要上面寫個贊助廣告就是要實名制好那如果這樣的邏輯沒有抓大放小如果沒有抓大放小的話那換言之民眾從2月1號開始就不應該再看到這樣的事情對不對 |
transcript.whisperx[426].start |
12101.246 |
transcript.whisperx[426].end |
12127.388 |
transcript.whisperx[426].text |
就是如果再有這樣的事情我們就可以溯源就應該是他們要先認證啦如果說他們認證不可能看到了嘛部長因為他要實名制嘛所以舉例嘛這個什麼你現在看到的這個這個是賣我們中華職棒假帽T的廣告嘛這個球迷每天都跟我檢舉啊 |
transcript.whisperx[427].start |
12129.316 |
transcript.whisperx[427].end |
12131.99 |
transcript.whisperx[427].text |
我覺得我在網路上呼籲沒什麼用我所以我來呼籲你 |
transcript.whisperx[428].start |
12133.178 |
transcript.whisperx[428].end |
12157.113 |
transcript.whisperx[428].text |
這是不是從2月1號才講,因為這個所謂磨曼頓這個沒有實名,這個就假的嘛,連磨曼頓這個都是假的。對,那個,報告委員,就是如果有這個廣告出現,因為它是實名制,所以我們一定可以找到賣廣告的這個人,那當然就可以把他繩之以緩。是嘛,就是不可能再出現,連找這個人都找不到嘛。你可以找到這個人,他就不敢登了嘛。這個邏輯就是這個意思嘛。所以這個, |
transcript.whisperx[429].start |
12160.015 |
transcript.whisperx[429].end |
12166.74 |
transcript.whisperx[429].text |
明年二月一號我不希望再看到啦齁這個大家都講好數發部要有一點作為這個這個如果再出現的話這太離譜這個我們現在說實在話 |
transcript.whisperx[430].start |
12170.316 |
transcript.whisperx[430].end |
12170.336 |
transcript.whisperx[430].text |
委員會長 |
transcript.whisperx[431].start |
12191.298 |
transcript.whisperx[431].end |
12213.03 |
transcript.whisperx[431].text |
這個讓部長也看一下這個齁目前現在網路上很夯但是這個都是仿冒的都是假的啦齁都是仿冒的能不能出這個產品我都懷疑啦能不能真的拿到一件假冒的假的帽T我都懷疑齁好這是第一個啦齁我想先跟部長做一個溝通第二個啦這個我們網路詐騙通報的這個查詢網啊我們從10月14號就公測結束嘛對不對齁 |
transcript.whisperx[432].start |
12220.404 |
transcript.whisperx[432].end |
12244.498 |
transcript.whisperx[432].text |
那部長公測結束之後檢討起來優缺點是什麼那個就像這個委員的簡報講的就是第一個就是那個當初公測的時候雖然是一萬兩千人多人下載但是那個量就有一個人可以檢舉可能一次好幾百甚至好幾千件所以那個量的確很大 |
transcript.whisperx[433].start |
12244.838 |
transcript.whisperx[433].end |
12267.415 |
transcript.whisperx[433].text |
議員8 |
transcript.whisperx[434].start |
12267.435 |
transcript.whisperx[434].end |
12295.649 |
transcript.whisperx[434].text |
通報超過將近到6萬件然後下架了15000件也就這個通報讓我們能夠及時下架1萬件的假廣告那確實有它的效果但是也是因為這樣關係所以那個可能是那個詐騙集團怎樣他們就會來做惡意的攻擊那攻擊包括包括上傳像像一些什麼有的沒的像色情網頁等等等這種東西我們也要自動處理所以就是說發現有一些可能還有就一個就是介面讓它更好用 |
transcript.whisperx[435].start |
12296.229 |
transcript.whisperx[435].end |
12310.717 |
transcript.whisperx[435].text |
所以這些都在更新中我們是希望這個更新完以後在12月底再去公測一次然後再看看這個是不是如果行政院通過我們就會正式上線好所以部長結論就是公測的結果你們覺得效果很好 |
transcript.whisperx[436].start |
12312.974 |
transcript.whisperx[436].end |
12334.41 |
transcript.whisperx[436].text |
但是有一些缺點這個缺點不一定是這個網路的缺點可能是對手可能會做什麼回應的缺點那我們會來加以改善所以部長我想請教那什麼時候可以再要再公測一次什麼時候要再上線目前我給團隊定的目標是12月底12月底就是說再三個禮拜吧 |
transcript.whisperx[437].start |
12334.73 |
transcript.whisperx[437].end |
12358.497 |
transcript.whisperx[437].text |
然後但是最後要不要再上就變正式版那要行政院測試通過所以我們現在也在安排好所以正式版你的預估大概什麼時候可以目前希望那就是明年第一季不過這個還是要行政院通過才可以我知道我知道前提都不用講我說你個人的主觀我個人是希望能夠在第一季但是這個這個有些condition就是好 |
transcript.whisperx[438].start |
12358.837 |
transcript.whisperx[438].end |
12385.727 |
transcript.whisperx[438].text |
那包括一些個資的問題這個都要一併處理因為我們也有接到一些反應說個資檢舉的個資容易在這裡被洩漏這些都要一併處理所以我想打詐就是我一直在講大概我就跟你講過第一次我們基本就跟你講大概在這個台上我只有速發部重中之重我每天看到你就會問打詐我會持續follow這些進度那我持續follow的目的就是要讓你們 |
transcript.whisperx[439].start |
12387.128 |
transcript.whisperx[439].end |
12412.275 |
transcript.whisperx[439].text |
我其實不是指責你們啦我希望一方面督促你們二方面也當你們的靠山啦讓所有的跟打詐有關的包括業者啦政府其他的部位都知道立法院對這個問題是非常的關心這個是人民心中的痛這個是台灣當前最大的社會問題之一啦所以我們要趕快來加以面對跟解決 |
transcript.whisperx[440].start |
12413.035 |
transcript.whisperx[440].end |
12429.321 |
transcript.whisperx[440].text |
所以對的事情比如說我剛剛講過這些實名制的這些廣告時間能提早要求業者的配合要落實不可以讓他們再這樣大家一起混啦反正過一天是一天第二個有用的東西像這個通報查詢網 |
transcript.whisperx[441].start |
12431.442 |
transcript.whisperx[441].end |
12456.24 |
transcript.whisperx[441].text |
公測完缺點改善再公測一次再缺點改善那就要趕快來實施如果行政院有困難我們立法院也可以質詢行政院所以我希望大家一併努力把這個事情做好好不好好謝謝部長謝謝委員的鼓勵謝謝好謝謝蔡委員接下來有請許智傑委員發言 |
transcript.whisperx[442].start |
12467.821 |
transcript.whisperx[442].end |
12481.992 |
transcript.whisperx[442].text |
謝謝主席。我們請部長。黃部長。部長好。部長你知道我要問什麼嗎?數位工 |
transcript.whisperx[443].start |
12485.605 |
transcript.whisperx[443].end |
12508.633 |
transcript.whisperx[443].text |
什麼時候可以做那個報告委員上次我們在那個台南開會嘛那一次開會就是我們就決定就是我們會先做規劃那我會申請經費這個我也跟國科會主委提過也給他一個規劃書那我們會申請科發基金很快就要進行先把規劃做出來然後再去看再去再去執行OK那個齁那一天市長有到我辦公室跟我 |
transcript.whisperx[444].start |
12509.96 |
transcript.whisperx[444].end |
12510.08 |
transcript.whisperx[444].text |
第二頁 |
transcript.whisperx[445].start |
12541.52 |
transcript.whisperx[445].end |
12563.472 |
transcript.whisperx[445].text |
我們數話部就是說為了提升國際海欄登陸站的韌性建設促進我國國際通訊基礎建設的韌性發展所以呢這個不是說我們還編了那個獎補助費嘛對不對還有五千多萬的海欄登陸站的那個補助費用所以相對的就是說 |
transcript.whisperx[446].start |
12565.083 |
transcript.whisperx[446].end |
12578.793 |
transcript.whisperx[446].text |
任重道遠如果我們先假設這個海南站通通不成立的時候我們國家會急嘛總不能沒有嘛阿如果都沒有人來的時候到底怎麼處理嘛所以我也先感謝一下就是我們書畫部就是在9月2號10月1510月22都有召開這個座談會 |
transcript.whisperx[447].start |
12594.874 |
transcript.whisperx[447].end |
12617.43 |
transcript.whisperx[447].text |
那我也有去參加過一場那基本上我為什麼一直這樣要求就是說這個對我們高雄來講非常的重要但是呢業者他如果通通不來或是他沒有主動來的時候啊這個國家任性建設又是關鍵基礎設施是不是速發部現在有 |
transcript.whisperx[448].start |
12618.737 |
transcript.whisperx[448].end |
12634.091 |
transcript.whisperx[448].text |
主動那也謝謝你們在開會的時候有7家國際海南的業者有來啦所以事實上書發部也蠻主動的我蠻感謝的但是最後就是巴士已經有一撇了那第二撇不知道什麼時候可以劃得成 |
transcript.whisperx[449].start |
12635.73 |
transcript.whisperx[449].end |
12662.849 |
transcript.whisperx[449].text |
這報委員就是剛剛講就是我們現在就是要做規劃案那規劃案就是我們由我們來主導那規劃案現在就是在經費方面我們現在就是要跟國科會申請課發基金這個也有跟國科會主委吳主委也有提過那我們現在正在進行這個工作只要這個經金下來我們就規劃規劃完以後剛剛就委員講的一些可能就是未來的營運啊未來的這個這個內容就會比較細部的規劃那這時候就再來再來 |
transcript.whisperx[450].start |
12664.19 |
transcript.whisperx[450].end |
12673.635 |
transcript.whisperx[450].text |
再來看下一步的工作也就是說還是要找到一個營運商來對江南縣好規劃就交給你們因為你們專業那我是希望說有沒有預計什麼時候可以有結果規劃的那個現在在申請嘛 |
transcript.whisperx[451].start |
12682.182 |
transcript.whisperx[451].end |
12702.09 |
transcript.whisperx[451].text |
委員報告我們12月因為剛剛其實剛剛委員解釋的關鍵就是誰要來這八字的另外一撇現在重點是對於七家海南業者來講他們想要知道效益評估所以我們12月中會盡快召開因為把這個需求帶出來以後才能夠比較明確說明年 |
transcript.whisperx[452].start |
12702.89 |
transcript.whisperx[452].end |
12719.026 |
transcript.whisperx[452].text |
明年Q1因為我們同步已經在申請課發基金那明年Q1看至少有一個有一個initial有一個初步的一個確認因為需求要評估出來後這些海南業者才願意提出申請所以明年第一季希望有機會 |
transcript.whisperx[453].start |
12721.007 |
transcript.whisperx[453].end |
12748.519 |
transcript.whisperx[453].text |
那個OK先謝謝你們了就是12月現在已經12月了所以我們12月大概中旬我們大概20號前後我們會跟經濟部還有高雄市政府還有那個先把需求面把它研究出來我想我問了很多次了部長跟施展應該都很熟了就是說將來 |
transcript.whisperx[454].start |
12750.08 |
transcript.whisperx[454].end |
12760.099 |
transcript.whisperx[454].text |
需求面是看很遠嘛那你現在台灣的AI的硬體製造業我們現在是世界最強的嘛 |
transcript.whisperx[455].start |
12761.008 |
transcript.whisperx[455].end |
12779.619 |
transcript.whisperx[455].text |
未來AI的設計跟應用當然我是比較私心不過我們高雄的條件也真的比北部好所以將來這個高雄好好的發展這個AI的設計跟應用我們有機會變成全台灣最好的一個AI的城市 |
transcript.whisperx[456].start |
12782.057 |
transcript.whisperx[456].end |
12791.893 |
transcript.whisperx[456].text |
當然這個的基礎點就是這個海嵐站部長跟市長也都覺得很重要所以我再一次的強調我希望說我本來一直覺得誰去掛鈴鐺 |
transcript.whisperx[457].start |
12795.21 |
transcript.whisperx[457].end |
12817.507 |
transcript.whisperx[457].text |
您說台南業者私人公司我們也不方便去找那如果是用數位發展部用公開公平公正的方式然後呢又你看這裡又有補助那由數位發展部來做一個尋找跟照標是最好啦所以我是覺得我的結論是這個鈴鐺我們就掛在數位發展部身上 |
transcript.whisperx[458].start |
12822.723 |
transcript.whisperx[458].end |
12832.469 |
transcript.whisperx[458].text |
務必到最後能夠促成海南真的完成那部長有沒有這樣子一個侃奉的信心我們努力啦我們努力對 |
transcript.whisperx[459].start |
12835.22 |
transcript.whisperx[459].end |
12862.728 |
transcript.whisperx[459].text |
部長不敢說沒問題就是努力就是說我們還是就是規劃書出來就比較清楚到底是業者意願因為最終還是要有人去營運蓋完也會有人去所以我這幾個例子給部長參考我們鳳山火車站現在已經蓋好了那現在要招標要招商那如果台鐵公司的董事長跟我說我就努力招標但是如果標不出去的話 |
transcript.whisperx[460].start |
12864.364 |
transcript.whisperx[460].end |
12892.607 |
transcript.whisperx[460].text |
我那個地方空在那裏所以他不能說他要,他要跟我說他務必要完產那些地方如果沒有標出來是不會看的當然廠商有很多不同的考量他們當然要賺錢啦,料錢的生意沒人做啦那我鳳山其實好處就是我找了一個山井拉拉破進來但是呢他們就變成說將來還要跟那個拉拉破競爭所以變成廠商也會猶豫跟卻步 |
transcript.whisperx[461].start |
12894.724 |
transcript.whisperx[461].end |
12901.482 |
transcript.whisperx[461].text |
所以這個都是商場上的問題我們知道但是台鐵公司總不能告訴我說我努力 |
transcript.whisperx[462].start |
12903.117 |
transcript.whisperx[462].end |
12927.557 |
transcript.whisperx[462].text |
我剛才說你務必要完成啦 這個空在那裏是真的很難看 所以是務必要完成那部長既然認為這個真的是國家重大建設 這個也是整個國家跟城市發展的重要指標 這個東西如果沒有完成 那我們後續的不要說我高雄的AI首都啦 包括全台灣的AI啦 都會受到 |
transcript.whisperx[463].start |
12928.882 |
transcript.whisperx[463].end |
12942.927 |
transcript.whisperx[463].text |
議員8 |
transcript.whisperx[464].start |
12943.755 |
transcript.whisperx[464].end |
12971.749 |
transcript.whisperx[464].text |
發言委員就是我剛才講就是說我們第一階段先把規劃弄出來然後規劃出來後再再來規劃交給專業規劃我們來規劃OK我只希望說有人願意把它單下來說我一定會努力到最後把它完成這樣子一個重責大難這個是國家不只是高雄這是國家AI基礎建設重要的一個項目我們務必要讓國家完成這個項目 |
transcript.whisperx[465].start |
12972.89 |
transcript.whisperx[465].end |
13001.936 |
transcript.whisperx[465].text |
我覺得規劃之後會有很多細節出來包括經費的需求等等等 這個出來後我們比較知道應該怎麼執行這樣部長我覺得你比較保守一點因為這個的確是一個大工程 所以我需要一些資訊來做這個所謂的commitment不過這個報告委員沒問題 我們會把這個東西一步一步把它做好你就說好了 我們會一步一步把它做到完成啦好不好我們努力努力不砸 |
transcript.whisperx[466].start |
13003.553 |
transcript.whisperx[466].end |
13019.93 |
transcript.whisperx[466].text |
政府說 部長我告訴你這是一個做部長的擔當啦今天我是許志杰是一個李偉夢你你才會這樣回答啦我上一次有問過部長一次今天賴金澤總統問他說啊部長你覺得這樣子努力到他完成為止你肯不肯 |
transcript.whisperx[467].start |
13021.243 |
transcript.whisperx[467].end |
13025.246 |
transcript.whisperx[467].text |
部長,其實我現在的脾氣很好。 我知道在亞洲我真的可以賺很多錢你知道嗎? |
transcript.whisperx[468].start |
13048.929 |
transcript.whisperx[468].end |
13069.998 |
transcript.whisperx[468].text |
那個委員我們在我跟你講說我們一定會把這個先把規劃做出來以後再看後面怎麼進行那再跟委員做看怎麼樣安排再請委員支持這樣就是報告預算的爭取報告方面都需要再去努力這樣我們主席聽到就覺得愛笑我看保證今天不要說你做保證我做保證啦所以我不是來行的啦 |
transcript.whisperx[469].start |
13076.909 |
transcript.whisperx[469].end |
13088.514 |
transcript.whisperx[469].text |
一個海南站在你的專業上有那麼困難嗎?推動一個海南站的登陸站,我如果說今天去全台都沒人設,我一定有付錢找到人來設。 |
transcript.whisperx[470].start |
13089.935 |
transcript.whisperx[470].end |
13089.955 |
transcript.whisperx[470].text |
委員會議 |
transcript.whisperx[471].start |
13108.32 |
transcript.whisperx[471].end |
13127.223 |
transcript.whisperx[471].text |
好啦,一定給我完整,你就說這樣我就稍微完整了好不好,這個其實不是那麼困難的事,這個其實部長這個是一個政治擔當跟判斷我們會盡力的,這是好的事情,我們會盡力的這不要說你,這只要我許智傑,我如果做數位發展部長,我跟部長我一定會當完整的部長你就做到給我完整就對了,完整好啦,謝謝 |
transcript.whisperx[472].start |
13137.11 |
transcript.whisperx[472].end |
13141.091 |
transcript.whisperx[472].text |
好謝謝許志傑委員也謝謝部長接下來請尤浩委員發言好謝謝趙偉謝謝主席那有請部長好我們請部長 |
transcript.whisperx[473].start |
13168.391 |
transcript.whisperx[473].end |
13189.978 |
transcript.whisperx[473].text |
好 部長好 部長想直接先請教一下在今年7月的時候部長曾經公開的宣稱數位發展部要成立一個假訊息委員會那應該應面對網路上各式各樣的假訊息不實訊息那我想先請教部長這個委員會大家眾所期待進度如何 |
transcript.whisperx[474].start |
13191.026 |
transcript.whisperx[474].end |
13212.585 |
transcript.whisperx[474].text |
報告委員主要是我們想結合NGO的力量因為我覺得訊息的真假不應該由政府來判斷所以那時候我的這個想法是說我們會結合像我們現在有這個網路事實通報網路事實查核中心還有所謂這些NGO包括什麼Micro Pen我們是希望藉由這些民間力量對假訊息來做一個判斷 |
transcript.whisperx[475].start |
13213.266 |
transcript.whisperx[475].end |
13233.064 |
transcript.whisperx[475].text |
但是最後要不要下架這展訊息還是需要有一個目的事業主導機關來跟我們講那我們就可以下架這樣好那所以說今天來講還是要針對假訊息或網路上的不實訊息來做一些處理嘛那到時候再做一個判斷那我們看一個圖那在這個圖我不知道這個部長你有沒有看過 |
transcript.whisperx[476].start |
13234.181 |
transcript.whisperx[476].end |
13245.38 |
transcript.whisperx[476].text |
在昨天的話有這樣子的一個訊息那我想請教一下部長像這樣子的一個圖啊一個梗圖啊那他這樣子是真的訊息還是假的訊息還是是屬於不實的訊息 |
transcript.whisperx[477].start |
13250.571 |
transcript.whisperx[477].end |
13273.505 |
transcript.whisperx[477].text |
他上面有提到了零零總總因為南韓昨天在戒嚴嘛這個是全世界都在關注那這樣子的一個梗圖啊還沒有發揮人雞幾雞人膩幾膩關心國際情勢的這種擔憂的心情煩惡還在上面就寫啊百般刁難王逸川就職除了他沒有戴酒車旗之外應該也沒有什麼刁難到 |
transcript.whisperx[478].start |
13275.808 |
transcript.whisperx[478].end |
13288.963 |
transcript.whisperx[478].text |
為什麼很多訊息需要由NGO來判斷?因為這是個人的意見我想問一下像這樣子的訊息是不是就等於是一個模糊焦點或是一個不實訊息或是一個在操弄社會對立的一個訊息 |
transcript.whisperx[479].start |
13289.764 |
transcript.whisperx[479].end |
13311.278 |
transcript.whisperx[479].text |
是不是如果是有違反違背這樣子的一個風氣的時候是不是就應該要有專業的一個機制來讓他下架對不對沒錯就是說為什麼不適合由政府來做判斷就是像這種訊息應該交由社會的那我想直接請教一下部長您看這樣的訊息在昨天那樣子的場合像這樣子一個梗圖是不是應該要下架 |
transcript.whisperx[480].start |
13312.358 |
transcript.whisperx[480].end |
13330.745 |
transcript.whisperx[480].text |
這個是個人言論自由個人言論自由對那所以說像這樣訊息的話其實在假訊息委員會來講的話是不用被審核不用下架的不是就是這個其實這是個人的意見所謂假訊息就是說他拿假內容的話是內容那是個人意見那你知道這個帳號是什麼帳號嗎 |
transcript.whisperx[481].start |
13333.366 |
transcript.whisperx[481].end |
13359.381 |
transcript.whisperx[481].text |
好我跟你講這個就是立法院民進黨黨團帳號但他自己就下架了啦沒關係但是我還是要針對這個這樣子用小號發生張貼不實訊息那以及目前假訊息委員會的設置進度及業務分工以及就是未來來講要為社會帶來的這個就是實際上效益還是希望數發部可以在一個月 |
transcript.whisperx[482].start |
13360.041 |
transcript.whisperx[482].end |
13384.944 |
transcript.whisperx[482].text |
左右來跟交通委員會做一個進度上面的報告專案報告來讓我們對於假訊息的委員會能夠有更清楚的認知部長這樣可以嗎我就是會把我們的現在想法大概做個規劃不過就是剛剛講就是我這個所謂的委員會是指的是這個是一個NGO當一個組織那我們跟NGO都有談過所以我想就是用跟就是說一個訊息的出現應該有同時好幾個團體那沒關係部長 |
transcript.whisperx[483].start |
13387.185 |
transcript.whisperx[483].end |
13409.95 |
transcript.whisperx[483].text |
但是我希望在這過程中包括一個月左右的專案報告針對以這樣子的梗圖為例的一個假訊息委員會的進度那包括NCO的邀請那是要在社會是公正的那不是盡量避免這意識形態那我接著要就叫就是邀請我們的任性建設師市長 |
transcript.whisperx[484].start |
13413.659 |
transcript.whisperx[484].end |
13432.427 |
transcript.whisperx[484].text |
在今天我們其實看到部長他其實有為了訴發部的同仁跟士氣那也是跟大家做一個道歉我知道這部長其實是很希望我們部內大家的士氣能夠維護 |
transcript.whisperx[485].start |
13433.948 |
transcript.whisperx[485].end |
13459.491 |
transcript.whisperx[485].text |
那當然說在這個霸凌的一個行為來講在目前社會各界飽受檢討所以我知道師長其實你心裡很清楚所以我相信師長今天如黃建豪委員所說的您有出息還不像勞動部的分署長他選擇逃避那所以在這裡您的出息我相信您也是正面的面對啦那我實在個人是覺得啦 |
transcript.whisperx[486].start |
13460.137 |
transcript.whisperx[486].end |
13472.991 |
transcript.whisperx[486].text |
部長剛才的為了這個部分的道歉他也是為了您的道歉我覺得其實現在社會各界欠一個說法今天姑且不論調查報告13號才出爐我覺得針對這個事件來講我想請市長簡單的30秒做一個回應除了在 |
transcript.whisperx[487].start |
13479.238 |
transcript.whisperx[487].end |
13491.012 |
transcript.whisperx[487].text |
回應推給說調查報告我覺得其實就頓對著訴發部的同仁有看著部長來簡短的來回應不管是道歉也好或是回應也好請讓你30秒 |
transcript.whisperx[488].start |
13494.338 |
transcript.whisperx[488].end |
13507.736 |
transcript.whisperx[488].text |
接著就是我們剛剛說的生智檢討那我也部長你道歉我也是先要造成大家的困擾一定要先道歉對同仁非常的抱歉生智檢討接受調查 |
transcript.whisperx[489].start |
13510.399 |
transcript.whisperx[489].end |
13528.857 |
transcript.whisperx[489].text |
希望說這個部分能夠痛定思痛那因為我們不否認你對你們領域的專業但是我坦白講機關內大家必須還要上下一心那覺得延續剛才許志堅委員所提到的就是我翻到了我們這個預算書這個PTT的最後一頁那 |
transcript.whisperx[490].start |
13530.171 |
transcript.whisperx[490].end |
13558.469 |
transcript.whisperx[490].text |
在這個預算書上面所揭示的內容啊訴發部預算總說明他的重要施政追蹤管制考核的這個實施成果跟說明的部分我們看到了辦理總統副總統巡視指示及交班事項行政院重要會議決定決議事項及院長指示事項還有財政法人的管理監督那我想請問一下我們看了這個實施成果跟內容那我們也 |
transcript.whisperx[491].start |
13559.289 |
transcript.whisperx[491].end |
13581.608 |
transcript.whisperx[491].text |
翻了所有部會的預算書但是就只有訴發部他是把立法院跟民意的部分不列在管考的這個就是考核標準那我想請問一下部長這個要如何改進這個說明的部分那個是不是我想這個是說明的內容是不是再補充說明一下是不是 |
transcript.whisperx[492].start |
13586.378 |
transcript.whisperx[492].end |
13596.109 |
transcript.whisperx[492].text |
總統或副總統這個巡視指示交辦事項這個我都知道蔡市長你很認真我知道我是說那立法院跟民意的部分為了不在數法部的管考內容之中 |
transcript.whisperx[493].start |
13597.25 |
transcript.whisperx[493].end |
13598.09 |
transcript.whisperx[493].text |
接下來的話本席針對我們看到這個軟體 |
transcript.whisperx[494].start |
13616.556 |
transcript.whisperx[494].end |
13640.89 |
transcript.whisperx[494].text |
就是目前司法院他們的員工有跟我們這邊陳情他是有強制在司法院的機關電腦來講必須用個人手機登錄以及包括跟這個他的系統做一個聯動那我想請問一下我們目前看到的這樣子的手機必須要登錄機關電腦以及使用這個APP那部長知道這個APP嗎? |
transcript.whisperx[495].start |
13642.371 |
transcript.whisperx[495].end |
13657.665 |
transcript.whisperx[495].text |
我自己也有的IDExpert這個這個是不是這個有幾個單位有在用包括包括他這是強制的嗎就是多因子認證裡面這是一個一個管道那這個管道像像那個有些單位我知道有在用這樣的一個軟體 |
transcript.whisperx[496].start |
13658.746 |
transcript.whisperx[496].end |
13682.699 |
transcript.whisperx[496].text |
那這個部長您自己有在使用我自己在在我們的這個因為我個人在中研院的網站他也是用這個軟體所以我有在用那目前來講因為時間已經到了那司法院的同仁他有跟我們這邊陳情啊那他是說這個是是不是能夠達到這個個資的標準以及包括在技術上的防護都能夠不被竊取個資尤其他們在 |
transcript.whisperx[497].start |
13683.479 |
transcript.whisperx[497].end |
13703.557 |
transcript.whisperx[497].text |
公司如果用這個登錄之後他們聯動的個人手機包括他們的通訊軟體的通話訊息會被做一個聯動甚至在技術上是不是安全因為司法院他必須被要求使用這個APP的時候也表示著包括未來地檢署調查站等等他們也是會被要求還用這樣子的一個系統APP |
transcript.whisperx[498].start |
13704.378 |
transcript.whisperx[498].end |
13726.286 |
transcript.whisperx[498].text |
那我本期在這裡還是建議就是部長能夠簡單的回應啊因為司法體系調查體系對這個APP的要求使用他們對技術上的質疑到底是這樣子的房屋是堅若磐石嗎還是說會不會被駭客攻擊的時候變成以卵即死那我在想在這個使用上的技術是不是部長簡單回應就好 |
transcript.whisperx[499].start |
13728.066 |
transcript.whisperx[499].end |
13747.292 |
transcript.whisperx[499].text |
這個IDExpert就像講他是用這些我們所知道的像FIDO啦這些OTP的技術就是說當然系統implementation有沒有漏洞又不是很清楚但是他用的標準他用的機制是OK的所以我想這個還是可以再進一步去評估就是了 |
transcript.whisperx[500].start |
13747.572 |
transcript.whisperx[500].end |
13775.445 |
transcript.whisperx[500].text |
所以不會被駭客入侵?就是說如果他的implementation畢竟軟體是人寫的嘛如果軟體是不是夠安全這個因為不是很清楚但是他現在所講的這個不管是FIDO或是OTP這個是現在所謂的多因子認證常用的標準所以這個標準是OK但是在所謂的這個軟體的產生過程中是不是有其他漏洞這個是因為是全景的軟體我就不清楚 |
transcript.whisperx[501].start |
13775.865 |
transcript.whisperx[501].end |
13777.606 |
transcript.whisperx[501].text |
接下來我們請鍾嘉斌委員發言 |
transcript.whisperx[502].start |
13814.596 |
transcript.whisperx[502].end |
13825.739 |
transcript.whisperx[502].text |
主席、在場委員、先進、列席政府計畫上官員、會長、工作夥伴、媒體、記者、女士、新生。又請我們速發部黃部長還有主計處的李處長和人事處的莫處長。好,請部長、處長。好,那我要 |
transcript.whisperx[503].start |
13841.34 |
transcript.whisperx[503].end |
13863.343 |
transcript.whisperx[503].text |
好部長好兩位處長好我今天不要提呢短期專案補足政府治安能力定期公佈非實名制廣告平台來我們看一下部長既然我們政府的治安能力不足為什麼高考只開11名缺我看一下目前我們中央跟地方的缺額是239個但是呢提報值卻只提報11個結果不到200人來考什麼原因部長 |
transcript.whisperx[504].start |
13868.51 |
transcript.whisperx[504].end |
13876.256 |
transcript.whisperx[504].text |
簡單的說,我直接問你啦,為什麼?是因為我們公部門待遇低嗎?你們現在是不是有要求給專業加給跟績效獎金了?合訂了沒?簡單,好時間有限好,報告委員因為這個考試公布是12月28號你簡單告訴我有沒有幫助? |
transcript.whisperx[505].start |
13887.443 |
transcript.whisperx[505].end |
13892.365 |
transcript.whisperx[505].text |
政府加薪拚得過民間搶財嗎?美國的AI工程師年薪超過970萬那一般的AI工程師在台灣也有大概300萬差不多平均月收入是25萬 |
transcript.whisperx[506].start |
13912.031 |
transcript.whisperx[506].end |
13937.122 |
transcript.whisperx[506].text |
我看你們考試院你們現在找的這些人我把名字調出來若是資安人員或資訊人員大概最頂到九萬或八萬八能比嗎部長你覺得這樣的就算加了專業家籍跟技巧養精有辦法搶得過人嗎確實是一個問題那怎麼辦怎麼解決這個是一個來我們來看一下現在公安部資安人員人體多少是不是剛剛那個數字 |
transcript.whisperx[507].start |
13938.888 |
transcript.whisperx[507].end |
13947.685 |
transcript.whisperx[507].text |
8萬9萬那跟明天下一題那月薪有10萬嗎?愛芳就像業界為什麼原因你知道嗎? |
transcript.whisperx[508].start |
13949.226 |
transcript.whisperx[508].end |
13972.962 |
transcript.whisperx[508].text |
因為我們現在政府用的是怎樣?以質蓄心啊!如果你是師長階層的檢任12職等就12萬5你是科長的9職等的就8萬多以此類推也就是說你們的編制是什麼職缺來的人又什麼薪水是不是這樣子為什麼請人事跟主計來就要請他們幫忙講啊你們兩位處長趕快過來告訴他是不是以質蓄心政府用的是以質蓄心 |
transcript.whisperx[509].start |
13973.542 |
transcript.whisperx[509].end |
13999.321 |
transcript.whisperx[509].text |
沒有錯我們趕快趕快因為時間的關係往下看但是呢美國呢軍方很特別啊軍方他們需要這些資訊人才他們叫什麼以薪敘職啊你在民間多少錢我就用多少錢挖你這個錢如果相當於少校你進來就當少校這個錢現在進來是相當於少將你就是當少將部長你覺得如果我們要資安人才我們可以參照美國以薪敘職嗎 |
transcript.whisperx[510].start |
14002.168 |
transcript.whisperx[510].end |
14005.794 |
transcript.whisperx[510].text |
美國的做法我們沒辦法做 那往下來怎麼辦 |
transcript.whisperx[511].start |
14013.356 |
transcript.whisperx[511].end |
14033.788 |
transcript.whisperx[511].text |
你們現在做了大概三種一個是用正職或約聘僱那他就是以職續薪加上加給有薪酬上限但是呢可以直接執行另外一種就委外外包廠商包去做另外一種呢就是什麼承攬找人來找學界來找學來承攬委辦然後呢他就寫個研究報告他不能執行沒有薪資上限 |
transcript.whisperx[512].start |
14034.915 |
transcript.whisperx[512].end |
14054.506 |
transcript.whisperx[512].text |
除了這三種方法有沒有其他方法可以解決我們有那個法人像治安院他信了治安院就是委外啊他能夠職業執行嗎要搖頭到底是不是治安院是不是委外還是承攬治安院是我們的行政法人所以基本上也是半個政府主席他的心智也這樣有上限嘛可以追得上民間的標準嗎 |
transcript.whisperx[513].start |
14056.241 |
transcript.whisperx[513].end |
14056.481 |
transcript.whisperx[513].text |
接下來談打詐 |
transcript.whisperx[514].start |
14069.281 |
transcript.whisperx[514].end |
14096.381 |
transcript.whisperx[514].text |
儘管會說詐騙管道都是來自社群平台其中臉書跟meta加起來市占率四分之三但是呢詐騙廣告占了關係90%有將近6萬件嚴不嚴重嚴重對那你們怎麼做我在我報告裡面講過我們現在就是第一個要落實廣告實名制再來這就是廣告實名制的結果會杜絕很多這種假、詐騙很好所以呢我們立法院我質詢了13次我們跟行政院通過了4個法對不對 |
transcript.whisperx[515].start |
14098.422 |
transcript.whisperx[515].end |
14117.613 |
transcript.whisperx[515].text |
所以你們就說停止非實名制下廣告這是誰做的這一第一槍趙鋒晶開了第一槍是不是對有沒有效果有Meta說什麼訴發部說Meta承諾1月前百分之百落實實名制是不是這樣子對真的會落實嗎我們等著看喔身份驗證百分之百落實好接下來 |
transcript.whisperx[516].start |
14118.453 |
transcript.whisperx[516].end |
14133.084 |
transcript.whisperx[516].text |
可是除了沒啥之外未落地的網路平台怎麼納管抖音這裡面有詐騙有毒品有色情小紅書三方詐騙點數卡淘寶也有淘寶小紅書抖音有落地嗎沒有落地沒有落地你怎麼管 |
transcript.whisperx[517].start |
14138.431 |
transcript.whisperx[517].end |
14161.502 |
transcript.whisperx[517].text |
我們現在這個第一個先處理剛剛講的這個投資詐騙廣告這些大概就是都是那是在有平臺有落地的平臺你可以要求他對不對那沒有落地的平臺怎麼辦怎麼納管也是一樣一個月提一個對應方案可以嗎可以那個這個就是我們就是事業主管機關要我們做網路停止解析我們就會解析好頭目停止解析那是色情 |
transcript.whisperx[518].start |
14162.262 |
transcript.whisperx[518].end |
14181.083 |
transcript.whisperx[518].text |
所以除了同步停止解析之外我都猜得到你要做什麼了還有哪些對策其實網路平台如果實名制廣告其實就有很大的影響因為越多非實名制的你下單你的廣告容易受詐騙所以其實業界民間自發性的要求去抵制要非實名制他不下廣告 |
transcript.whisperx[519].start |
14182.364 |
transcript.whisperx[519].end |
14207.213 |
transcript.whisperx[519].text |
這個請你們定期公佈好不好你們定期公佈那些非實名制的廣告平台以及這平台的詐騙數量供民間參考廣告主自己做決定他要不要持續在這些沒有落地的或非實名制的平台他要不要繼續投放廣告我們讓這個市場力量來發揮機制可不可以以後定期做這個事情可以嗎定期公佈非實名制廣告網路平台及各網路平台的詐騙案件各樣數據 |
transcript.whisperx[520].start |
14208.853 |
transcript.whisperx[520].end |
14233.017 |
transcript.whisperx[520].text |
讓所有的廣告主知道你不要浪費錢在那些民間通販廣告不但無效而且助長詐騙好不好今天用三個決議兩個報告怎麼樣招攬人才怎麼樣未納管這些未落地的平台未納管錢你怎麼處置以及最後定期公佈好不好部長可以嗎可以好謝謝好謝謝中央兵委員謝謝部長接下來我們請楊瓊英委員發言 |
transcript.whisperx[521].start |
14242.305 |
transcript.whisperx[521].end |
14244.427 |
transcript.whisperx[521].text |
謝謝主席 陽泉發言 邀請部長 請部長 委員好 |
transcript.whisperx[522].start |
14251.953 |
transcript.whisperx[522].end |
14270.453 |
transcript.whisperx[522].text |
議長好,我們要討論出國的計畫編列,你在這個今年度是編列了2220萬4千元那你在113年現在呢是3133萬6千元所以相對你比今年度跟明年度呢你是明年度減了913萬2千元 |
transcript.whisperx[523].start |
14272.936 |
transcript.whisperx[523].end |
14281.618 |
transcript.whisperx[523].text |
但是我們去細看這裏面到底是怎麼回事因為112年的出國計畫是1408萬6千元你的決算是1342萬9千元達成率是95.30%比原先編列的出席重要的你在這個裏面相關活動裏頭跟重要會議裏頭總共是23項但是你的執行結果有6項他沒有執行的在你總共23項的26.09% |
transcript.whisperx[524].start |
14302.122 |
transcript.whisperx[524].end |
14314.659 |
transcript.whisperx[524].text |
那在新增的最奇怪的是你竟然原來的不執行而新增的呢那麼未列預算的部分你有九項那你有九項包就等於是在23項裡頭的百分之四十四成 |
transcript.whisperx[525].start |
14318.044 |
transcript.whisperx[525].end |
14323.406 |
transcript.whisperx[525].text |
為什麼預算會這樣子編列還會這樣子執行呢請做說明這個違反預算法欸立法院三讀通過的預算你竟然有的你不執行沒有的你可以去執行這個邏輯怎麼這麼奇怪啊這到底是什麼重要的事項啊 |
transcript.whisperx[526].start |
14340.233 |
transcript.whisperx[526].end |
14345.516 |
transcript.whisperx[526].text |
不執行表示你的預估是有問題的那你沒有編列的你有9項增加欸你可以隨便這樣增嗎?可以如此嗎?這個你有辦理追加嗎?要怎麼做? |
transcript.whisperx[527].start |
14358.284 |
transcript.whisperx[527].end |
14374.844 |
transcript.whisperx[527].text |
預算部門再請國際事務記者說有些計畫沒有執行的部分是因為原本有一些國際會議要去參與那我們的外交有問題囉還是人家不邀請我們還是我們自己不去參加 |
transcript.whisperx[528].start |
14375.445 |
transcript.whisperx[528].end |
14393.599 |
transcript.whisperx[528].text |
我們要去參加那只是說有些地區因為可能有些簽證的問題過不了就是臨時有問題所以就沒辦法做那你在編列預算當時我們還審預算那個騙立法委員喔跟委員報告對不對因為很多個國際活動他這個問題你們去精心那你沒有的竟然會增加9項怎麼回事呢 |
transcript.whisperx[529].start |
14394.099 |
transcript.whisperx[529].end |
14415.899 |
transcript.whisperx[529].text |
委員報告就是因為有些計畫在編列預算的時候因為112年在編列計畫的時候數位發展部丁寧成立所以我們是參考以往的編列方式去編列這個邏輯更奇怪注意聽部長你請回部長編列的預算沒有辦法執行沒有編的竟然可以去執行 |
transcript.whisperx[530].start |
14417.901 |
transcript.whisperx[530].end |
14437.702 |
transcript.whisperx[530].text |
我們政府的預算是經過立法院三讀通過送請行政院單位來執行之對不對怎麼可以這樣子亂搞呢亂來還剛剛回答的是說依照前年度那你們都沒有在精進部長依你的看法可以如此嗎 |
transcript.whisperx[531].start |
14438.682 |
transcript.whisperx[531].end |
14444.625 |
transcript.whisperx[531].text |
可以這麼做嗎?內部檢討部長還好你來一個內部檢討不然我們覺得太驚訝了怎麼可以這是一個公務預算怎麼可以隨便你要怎麼做就怎麼做 |
transcript.whisperx[532].start |
14457.808 |
transcript.whisperx[532].end |
14469.79 |
transcript.whisperx[532].text |
當然不行你要好好地去檢討來本席請你把檢討的方案給本席那本席跟你討論的114年裡頭你的民主網絡的連結跟這個這個是從113年1月份1月5號核定那總經費是7.8億你分4年度但是我們看到113年你編列的3.39億呢你到8月份我給你做統計只有14.5 |
transcript.whisperx[533].start |
14485.293 |
transcript.whisperx[533].end |
14493.22 |
transcript.whisperx[533].text |
部長,這怎麼辦?這怎麼辦?這怎麼辦?委員報告,那個有關於質詢率會比較慢的原因是因為整個專案是比較新所以他有很多利害關係者在做協調什麼專案新不新這不是邏輯,你請回部長我要請你再一次聽清楚 |
transcript.whisperx[534].start |
14511.214 |
transcript.whisperx[534].end |
14525.923 |
transcript.whisperx[534].text |
這個預算是你們編出來的不是因為新他的年度到了只有完成率不到兩成你可以接受這樣的成效嗎部長你可以接受嗎請你告訴我當然不行所以要檢討趕快去經濟因為他是113年到116年以下的回答本席不希望聽到這種言語因為是新的你數發布是新的單位當然是新的政策新的計畫嘛 |
transcript.whisperx[535].start |
14539.751 |
transcript.whisperx[535].end |
14562.805 |
transcript.whisperx[535].text |
對不對怎麼可以如此的回答呢不負責任的回答這個計畫裡面有好還好你說不行所以執行率到現在8月份14.5趕快去精進人民需要接下來在一個議題深化政府資通訊的應用建設裡頭本席覺得非常的奇怪預算給沒有問題但是你在測試的結果審計部113年4月20號給你的是說 |
transcript.whisperx[536].start |
14567.708 |
transcript.whisperx[536].end |
14591.181 |
transcript.whisperx[536].text |
你發現你的連結網址失效的有118337筆但是你自己書發部說你失策的連結只有380筆哇那個差距部長差距多少45倍那我們政府經過公開資訊的可用性這麼低花了這麼多錢那到底誰在造假 |
transcript.whisperx[537].start |
14593.516 |
transcript.whisperx[537].end |
14594.877 |
transcript.whisperx[537].text |
審計部已經告訴你 |
transcript.whisperx[538].start |
14617.518 |
transcript.whisperx[538].end |
14621.582 |
transcript.whisperx[538].text |
一萬多筆。你們說380筆。差距45倍。李全惠部長這個要不要精進啊?你說的休息現在的時間科技資訊 |
transcript.whisperx[539].start |
14633.931 |
transcript.whisperx[539].end |
14653.22 |
transcript.whisperx[539].text |
對 這個這個失效這麼需要你把它關掉對失效的原因我們會再檢討不過剛剛講就是說你要維護期間關掉一些這個網站是大家都在做的事情那只是說這個數字到底現在還剩多少我們測完以後再跟委員做個報告到現在還不清楚審計部已經告訴你了審計部告訴你這一萬多筆因為你的落差45倍 |
transcript.whisperx[540].start |
14659.944 |
transcript.whisperx[540].end |
14675.773 |
transcript.whisperx[540].text |
請把正確的方案精進出來不要再粉飾太平審計單位已經告訴你了你還不精進 對不對你要看怎麼樣方案不要讓人民這麼痛苦趕快去精進多久時間告訴本席你的精進方案一個禮拜趕快加油 |
transcript.whisperx[541].start |
14690.297 |
transcript.whisperx[541].end |
14690.517 |
transcript.whisperx[541].text |
委員、部長、首長 |
transcript.whisperx[542].start |
14720.71 |
transcript.whisperx[542].end |
14721.858 |
transcript.whisperx[542].text |
謝謝主席,有請黃部長 |
transcript.whisperx[543].start |
14729.738 |
transcript.whisperx[543].end |
14752.447 |
transcript.whisperx[543].text |
謝謝部長我想數位信任很重要啦也希望全民可以信任數發部那我想我還是非常感謝我仔細閱讀了你們相關的這個過去一年所做的事跟相關的計畫在相關的資安跟技術上我覺得是有精進有不錯的成果先予以感謝那但是有幾個議題還是想要來就教一下想請教部長 |
transcript.whisperx[544].start |
14753.747 |
transcript.whisperx[544].end |
14773.247 |
transcript.whisperx[544].text |
在新的計畫書裡面呢你們有這個MOCN的預算是5.6億那低軌衛星是編了1.7億但是你們在第15頁的時候自己講了其實用所謂的傳統的這個5G的網路或者一般的電信基地台重大災難發生的時候可能會有部分的業者失效 |
transcript.whisperx[545].start |
14774.09 |
transcript.whisperx[545].end |
14782.823 |
transcript.whisperx[545].text |
那全球現在都在佈建低軌衛星但是我們反而MOCN的預算竟然是他的將近三倍這個規劃您知道嗎?您同意嗎? |
transcript.whisperx[546].start |
14783.985 |
transcript.whisperx[546].end |
14785.825 |
transcript.whisperx[546].text |
這個請司長在這邊做個說明謝偉文我看這技術是這樣子 |
transcript.whisperx[547].start |
14807.811 |
transcript.whisperx[547].end |
14824.569 |
transcript.whisperx[547].text |
現在三大業者並沒有用這個合成的這個技術所以他需要一些資本支出所以這個六億我們需要重新建對但是現在全世界都在限低軌衛星啊就你們現在是在補足多網路的跨網路我知道啊可是這個合不合邏輯啊部長有沒有理解過 |
transcript.whisperx[548].start |
14826.26 |
transcript.whisperx[548].end |
14841.247 |
transcript.whisperx[548].text |
我們看了各國都是低軌衛星支出開始高於傳統的網路就算你是多網路是對吧衛星只有Mega級的流量那那你救災的時候你是要怎麼樣你要下載兩G上傳兩G嗎不是吧 |
transcript.whisperx[549].start |
14843.148 |
transcript.whisperx[549].end |
14845.349 |
transcript.whisperx[549].text |
二、新增1億計畫新增AI網路主動式防禦關鍵技術研究計畫 |
transcript.whisperx[550].start |
14870.284 |
transcript.whisperx[550].end |
14893.598 |
transcript.whisperx[550].text |
兩頁的內容有什麼具體產出用什麼技術誰還執行一億要弄出30位資安人才這個部長知不知道你能不能簡要的回答第一個這個因為深圳市AI用深圳市AI來做網路防禦是一個新的發展那我們這個計畫是委託這個會做一套自己的系統嗎委託誰會外包嗎是資安院嗎 |
transcript.whisperx[551].start |
14897.062 |
transcript.whisperx[551].end |
14918.717 |
transcript.whisperx[551].text |
那就是資安院執行就不用開標案了然後訓練30位人才然後產出會產出一套自己的軟體嗎用的是什麼樣的AI用的是什麼樣的技術已經確定了嗎還是需要額外的報告我跟委員報告一下這個是委託由資安院來執行那我們會內部我們沒有在委外 |
transcript.whisperx[552].start |
14919.457 |
transcript.whisperx[552].end |
14920.038 |
transcript.whisperx[552].text |
謝謝謝謝您可以在旁邊部長 |
transcript.whisperx[553].start |
14938.953 |
transcript.whisperx[553].end |
14956.981 |
transcript.whisperx[553].text |
書面上就是寫30位你不要現在來了突然變150然後到底是採用什麼技術講清楚這是一億的計畫好不好往後面所以能不能提出報告再提出來多久可以給細節一點的或者你們內部的計畫分享一下好不好我們提報告給委員 |
transcript.whisperx[554].start |
14957.301 |
transcript.whisperx[554].end |
14975.801 |
transcript.whisperx[554].text |
人民的錢一週內可以吧因為這個預算你都編進去啊好不好好再來資安事件啊現在有非常多監理站詐騙也提醒所有的民眾連我們辦公室助理都收到而且是怎麼樣他剛被開完罰單結果就收到哦就收到監理站繳罰還的詐騙的信件哦 |
transcript.whisperx[555].start |
14979.304 |
transcript.whisperx[555].end |
14997.852 |
transcript.whisperx[555].text |
請問訴發部這邊有沒有收到監理站的這個結果上網一查一大堆人被騙11月10號就是11月一堆監理站各種方面而且都是那種剛收到交通罰單沒多久就收到這個繳費的詐騙的簡訊有沒有監理站或交通的單位有沒有跟你們通報 |
transcript.whisperx[556].start |
14998.852 |
transcript.whisperx[556].end |
14999.453 |
transcript.whisperx[556].text |
我們目前沒有收到通報吧 |
transcript.whisperx[557].start |
15024.491 |
transcript.whisperx[557].end |
15039.2 |
transcript.whisperx[557].text |
目前沒有嘛對不對這個消息已經都在網路上了民眾都非常的恐慌可不可以麻煩一樣多久以內一週好不好這個詐騙快一點瞭解一下有或沒有就好然後我們來看一下說我們能幫什麼忙 |
transcript.whisperx[558].start |
15040.18 |
transcript.whisperx[558].end |
15059.006 |
transcript.whisperx[558].text |
再來111的短碼破功啦我想各位應該也知道這個消息了當然我知道短碼是一個好的做法但是有沒有解決方案結果呢我們看短碼有問題gov.tw可能也有問題這個到底我們在防詐上面應該要如何做我是希望應該要 |
transcript.whisperx[559].start |
15060.706 |
transcript.whisperx[559].end |
15075.32 |
transcript.whisperx[559].text |
更多的落實你們有很多跨部會的預算更多的落實合作資安打詐這一題我就之後有機會再交流因為時間有限了資安人力短缺也麻煩注意一下剛剛的這個中加兵委員有提到以新續職 |
transcript.whisperx[560].start |
15076.841 |
transcript.whisperx[560].end |
15099.582 |
transcript.whisperx[560].text |
這個方向我們也是覺得是從阿宅的角度來看也是認同所以希望這個部分呢也予以去了解那資安的人力的培育也要增加啦什麼11個啦30個啦150啦我覺得都是遠遠不夠其實你們預算是很充足的希望能夠補足資安人力增加流財的誘因最後我想請教部長一件事近期通查網 |
transcript.whisperx[561].start |
15101.013 |
transcript.whisperx[561].end |
15127.035 |
transcript.whisperx[561].text |
算是不小心提前下架了啦那雲端發票還有很多政府機關的數位的平台大家都有點擔心可能會有不被信任的問題所以我想訴發部應該要帶頭被信任而不是帶頭被不信任啦所以我想請教部長請教部長這個題很認真知通系統的外包是否需要做外包廠商的適任性查核 |
transcript.whisperx[562].start |
15128.227 |
transcript.whisperx[562].end |
15129.568 |
transcript.whisperx[562].text |
連查核都是外包啊 |
transcript.whisperx[563].start |
15157.725 |
transcript.whisperx[563].end |
15179.807 |
transcript.whisperx[563].text |
事任性查核抱歉我在問的是事任性查核抱歉部長我跟你溝通一下這是你們資通安全管理法的施行細則資通安全管理法裡面就算你們內部請資安院來做或者你們內部來做都要有公務人員的事任性查核不能有不適任的人來做我們的資通系統這是第一點 |
transcript.whisperx[564].start |
15180.367 |
transcript.whisperx[564].end |
15205.804 |
transcript.whisperx[564].text |
第二點連外包廠商都應該要有私人性的查核這是你們的資通安全管理法我們目前認為而且資通系統的定義對不起講得非常清楚這是資通安全法第三條第一項用於資料的收集控制傳輸儲存流通刪除資訊或對資訊進行其他處理使用或分享系統等於幾乎所有的資訊系統在外包上都應該要做私人性查核請問部長 |
transcript.whisperx[565].start |
15206.964 |
transcript.whisperx[565].end |
15231.072 |
transcript.whisperx[565].text |
有沒有做啊那個我的了解是對所謂機敏系統要做查核各位委員差不多好抱歉所以這個是你們的法條要修就去修這不是機敏系統喔所以請帶頭守法落實適任性的查核關於這一點我希望內部也做個討論然後呢我們雙方來交流好嗎好謝謝謝謝委員 |
transcript.whisperx[566].start |
15233.493 |
transcript.whisperx[566].end |
15235.314 |
transcript.whisperx[566].text |
好,謝謝給盧君委員、謝謝部長跟各位這個首長接下來我們請侯孟楷委員發言來,麻煩主席請我們數位部黃部長來,黃部長請 |
transcript.whisperx[567].start |
15263.571 |
transcript.whisperx[567].end |
15286.231 |
transcript.whisperx[567].text |
來黃部長道高一尺磨真的可以高一丈嗎我們數位部不管一年幾十億預算或是一開始的時候聯同前瞻計畫有上百億的預算說實在話要人給人要錢給錢我們也希望是說能夠真正做到詐騙的一個防詐的一個功能那但是本席會這樣問是因為111政府簡訊平台 |
transcript.whisperx[568].start |
15290.334 |
transcript.whisperx[568].end |
15297.944 |
transcript.whisperx[568].text |
去年10月當時的唐鳳部長講說明年1月也就是2024年正式上線設三關卡賭詐騙 |
transcript.whisperx[569].start |
15301.366 |
transcript.whisperx[569].end |
15324.812 |
transcript.whisperx[569].text |
那時候把111當成是救世主一樣就是說這一個簡訊代碼一出來之後政府之間的詐騙不會有了而且有三關卡來組詐騙然後還講是說趕快供股行庫都加入協調防詐結果不到一年時間欸真的不到一年欸從今年1月開始正式上線到現在10月多11月來 |
transcript.whisperx[570].start |
15328.348 |
transcript.whisperx[570].end |
15345.635 |
transcript.whisperx[570].text |
新聞就出來了嘛就破貨詐騙集團政府的簡訊一一有假然後被詐團破解2G發送來他用兩個看起來我不知道這算是精不精密啊但看起來我覺得這蠻土法煉鋼的啊 |
transcript.whisperx[571].start |
15347.168 |
transcript.whisperx[571].end |
15375.036 |
transcript.whisperx[571].text |
就這樣子兩台機器不大就可以把我們政府過去花了多少錢那麼多數位科技人才的速發部做出來的111簡訊給破解然後發送繳費假訊息再來我們新聞台做連線報導那他發送什麼樣的訊息我想這跟我們剛剛好幾位委員共同關心的不管是有什麼政府的繳費 |
transcript.whisperx[572].start |
15376.843 |
transcript.whisperx[572].end |
15405.488 |
transcript.whisperx[572].text |
收費等等因為他等於是他就利用假借政府的名義嘛那那個時候大家看到是說111覺得是說啊就安心了看到111傳來就是可以點開放心了結果不是這麼回事來部長我給你機會時間說明一下到底是我們想得太天真還是把詐騙集團想得太白癡還是我們自己真真正正根本不了解說現在環境多麼兇險以為推出一個東西就可以天衣無縫結果不到一年就被破解 |
transcript.whisperx[573].start |
15405.828 |
transcript.whisperx[573].end |
15435.094 |
transcript.whisperx[573].text |
來 |
transcript.whisperx[574].start |
15435.134 |
transcript.whisperx[574].end |
15447.437 |
transcript.whisperx[574].text |
我們看一下所以我們這個新聞出來也快兩三個禮拜了對不對對那我們現在統計到底有多少民眾接到這個集團被詐騙所以二級手機目前現在統計多少 |
transcript.whisperx[575].start |
15448.308 |
transcript.whisperx[575].end |
15449.288 |
transcript.whisperx[575].text |
所以現在到底有多少被詐騙? |
transcript.whisperx[576].start |
15476.139 |
transcript.whisperx[576].end |
15493.05 |
transcript.whisperx[576].text |
二級手機目前還有在用的應該不多但是我沒有數字但是沒有數字所以看到現在這樣的一個狀況沒有數字好本席再請教不管是我們速發部有推出的一個通報網或者是現在我們刑事警察局有所謂的這個打債儀表板對不對詐騙是大幅的成長 |
transcript.whisperx[577].start |
15497.625 |
transcript.whisperx[577].end |
15524.177 |
transcript.whisperx[577].text |
尤其是去年跟今年的一個數字相比他真的是完全大幅提升甚至那個數字可以差到三倍四倍統計的方式不同但不管怎麼樣那就代表是什麼代表兩個部分一個就是過去的統計是埋在沙子裡面把頭埋在沙子裡面我假裝沒有這個數字我就以為沒有這個詐騙但現在的數字如果說你要說統計的數字不同的話那代表就是現在比較還原真實的狀況 |
transcript.whisperx[578].start |
15526.178 |
transcript.whisperx[578].end |
15538.161 |
transcript.whisperx[578].text |
以前可能美化這個數字可能讓這個數字感覺相對來講比較有差汁抹粉那現在沒有啊所以才會說我們現在看到說一年一個月有高達百億的一個詐騙 |
transcript.whisperx[579].start |
15541.922 |
transcript.whisperx[579].end |
15559.329 |
transcript.whisperx[579].text |
報告委員,我們負責防詐這一部分,主要是針對所謂的廣告平台商的這些詐騙從廣告平台商的詐騙我們開始進行一些機制包括實名制以後,我們目前看到的確在假廣告的詐騙有下降90%以上 |
transcript.whisperx[580].start |
15561.43 |
transcript.whisperx[580].end |
15586.851 |
transcript.whisperx[580].text |
因為詐騙是有階段性的比如說養套殺所以如果你在前端讓詐騙警察不要接觸到詐騙訊息被養的就會減少那這個效果應該在未來幾個月會出現也就是說我們認為現在民眾接觸到詐騙因為我們在前端做防詐的工作確實有減少而且從數字上我們看到減少但是這個整個金額的數目目前看到統計是後面是可能是三個月或甚至六個月前 |
transcript.whisperx[581].start |
15586.971 |
transcript.whisperx[581].end |
15613.625 |
transcript.whisperx[581].text |
部長他絕對不是單一部會的議題我同意因為這個也是過去到現在我們一直要求的就不是要各部會互踢皮球就是說你踢我我踢你到最後這個負責的變成是說就反正是員警的責任也不是嘛所以說我們要從源頭管理源頭阻止源頭把關來讓詐騙的犯罪成本提高高到是說他認為是他根本不合算他就不會想要來詐騙了嘛 |
transcript.whisperx[582].start |
15614.685 |
transcript.whisperx[582].end |
15643.065 |
transcript.whisperx[582].text |
對不對對所以源頭我們這邊看到有在減少所以應該在未來幾個月好所以之前我也一直很關心喔時間也有限但是我一直很關心就所謂的六大平台你們現在廣告實名制的部分現在到底進度如何現在Google跟Line已經落實實名制了從這個月開始那那個像那個Facebook對他答應在從現在開始實施了從高風險他已經答應我們在1月底前會全面實施 |
transcript.whisperx[583].start |
15643.345 |
transcript.whisperx[583].end |
15662.187 |
transcript.whisperx[583].text |
一月底以前臉書、IG、TRADE他們是整個母公司嘛一月底以前可以全部實施廣告的實名制所以說到時候我們看到不管是假冒什麼某某某名人假冒什麼投資社 |
transcript.whisperx[584].start |
15662.788 |
transcript.whisperx[584].end |
15682.609 |
transcript.whisperx[584].text |
他下面一定都會有實名制一定會有一個帳號投入那所以說如果說他是詐騙的也可以循線順藤摸瓜去找到後面的用戶刊登的廣告那後到時我們有任何的一個詐騙的一個罰則也都可以來做處罰那這一個人他有可能是國內還國外 |
transcript.whisperx[585].start |
15684.072 |
transcript.whisperx[585].end |
15705.721 |
transcript.whisperx[585].text |
當然就是說他若是實名制的時候他這個他必須確認這本人的ID嘛這個當然投放廣告可以在國外但是就是說至少你可以回溯在到這個真正的人那如果是國外的話那當然就是要藉由這個部長那要不要部長這樣子有沒有聽到我覺得還是會有漏洞 |
transcript.whisperx[586].start |
15707.133 |
transcript.whisperx[586].end |
15733.389 |
transcript.whisperx[586].text |
如果說他現在是用國外的帳號就像之前一直講我們說為什麼詐騙的機房放在的是他機房放在的是東南亞他為什麼放在東南亞就是因為他們可能在東南亞有些機房然後打電話來台灣來做詐騙然後再由台灣的車手他們等於是犯罪集團不同分工那如果說你今天這樣子實名制的話你會不會一樣是他可能機房一樣是在東南亞其他國家裡面來做投放廣告 |
transcript.whisperx[587].start |
15733.929 |
transcript.whisperx[587].end |
15757.178 |
transcript.whisperx[587].text |
有一些廣告像投資金融的廣告那個就要是國內的人才能夠下廣告這是Facebook會跟我們合作那至於還有一些因為金融詐騙現在在投資上面大概佔了80%所以那是最大源頭先把這個堵住那至於說其他的詐騙廣告我們經過國際刑警的互助將來也希望在這邊能夠很快的去杜絕部長 |
transcript.whisperx[588].start |
15757.898 |
transcript.whisperx[588].end |
15776.328 |
transcript.whisperx[588].text |
但本席提出來這個問題既然我們都認為可以從源頭管理來減輕增加犯罪成本減輕犯罪的一個樣態跟狀況的話就請你好好的溝通那既然可以金融廣告他一定是要在國內才有辦法投放的話那其他廣告應該也要比就相關詐騙廣告應該比較辦理 |
transcript.whisperx[589].start |
15778.189 |
transcript.whisperx[589].end |
15778.209 |
transcript.whisperx[589].text |
委員會議 |
transcript.whisperx[590].start |
15801.3 |
transcript.whisperx[590].end |
15813.997 |
transcript.whisperx[590].text |
對我們來講我們主管機關的責任跟功能就是要告訴他即便是有錢賺你也不能賺因為這個就是非法的錢這個就是詐騙集團的錢這個就是投入之後會增加犯罪風險的錢是吧完全同意 |
transcript.whisperx[591].start |
15815.899 |
transcript.whisperx[591].end |
15833.241 |
transcript.whisperx[591].text |
麻煩再請一月底你剛剛有講到一月底的時候這幾個這個平台的部分會有相關實名制的一個規劃是不是可以給書面資料給本席好不好謝謝謝謝侯孟楷委員謝謝部長接下來請吳春成委員發言 |
transcript.whisperx[592].start |
15846.34 |
transcript.whisperx[592].end |
15848.141 |
transcript.whisperx[592].text |
有請黃部長我今天要來謝謝你因為壯世代政策與產業發展促進法在本週一已經出了委員會是在立法上跨出一大步 |
transcript.whisperx[593].start |
15869.969 |
transcript.whisperx[593].end |
15890.266 |
transcript.whisperx[593].text |
那在這裡這個訴發部為壯士代開先鋒做了一個很好的示範在兩週前我們的資訊月有做了一個壯士代董資樂園用一種創新的方式讓過去都叫做 |
transcript.whisperx[594].start |
15891.3 |
transcript.whisperx[594].end |
15893.081 |
transcript.whisperx[594].text |
希望這個成功的經驗可以作為未來我們的參考 |
transcript.whisperx[595].start |
15914.511 |
transcript.whisperx[595].end |
15942.517 |
transcript.whisperx[595].text |
那為什麼講這個壯世代董事樂園用創新模式在這裡其實在各方面包括從立法院多數的委員都對這個議題的認知肯定還有在民間大量的這個高齡解放運動支持的壯世代也風起雲湧包括我們的院長左奎在兩個禮拜之前行政院會之後 |
transcript.whisperx[596].start |
15943.337 |
transcript.whisperx[596].end |
15964.669 |
transcript.whisperx[596].text |
所發的新聞稿也是肯定要讓壯士來持續貢獻社會所以這個速發部走在這一個潮流打先鋒因為這個禮拜一這個在審議的過程當中還是遇到了現在執政黨的立委很多的 |
transcript.whisperx[597].start |
15965.829 |
transcript.whisperx[597].end |
15986.123 |
transcript.whisperx[597].text |
很多的阻擾說不懂這個壯時代是什麼壯時代的定義是什麼反正提了很多後來我覺得用CHAPTER GTP去問一下去問一下我覺得這個很好我覺得是不是數位發展部可以開發一下問證諮詢的立法問證諮詢提升我們的問證品質 |
transcript.whisperx[598].start |
15990.146 |
transcript.whisperx[598].end |
16008.323 |
transcript.whisperx[598].text |
大家問的問題實在是太可笑了幼稚般的我念一下CHEP GDP你只要問一下壯世代到底想要做什麼他就定義非常清楚他說壯世代是指55歲到臥床前這個概念直接挑戰了傳統對年齡的看法尤其對退休以後的階段 |
transcript.whisperx[599].start |
16009.764 |
transcript.whisperx[599].end |
16039.082 |
transcript.whisperx[599].text |
非常的重要他提倡的不再是60歲市委人生的終點而是另外一個充滿可能的新起點所以醫療進步人類說明延長這個年齡層依然有體力智慧和資源去追求目標探索興趣甚至重新投入事業貢獻社會創世代不僅是一個詞語更是一種價值觀的倡導他幫助我們重新看待年齡生命力和社會的角色為每個人提供積極的框架創世代核心精神第一個是延續活躍的生活第二個是健康與自主 |
transcript.whisperx[600].start |
16039.923 |
transcript.whisperx[600].end |
16053.784 |
transcript.whisperx[600].text |
這個其實他很多啦他會創造回應我們的社會例如勞動力不足、輸入力下降的問題讓中資在發揮他們的潛力對整個社會這種雙贏的局面等等這種AI的智慧喔 |
transcript.whisperx[601].start |
16054.795 |
transcript.whisperx[601].end |
16056.175 |
transcript.whisperx[601].text |
來開發一下 這個可以節省我們國會 我們國家很多 不然大家花太多的時間老是討論問題 問政品質不高 |
transcript.whisperx[602].start |
16078.663 |
transcript.whisperx[602].end |
16085.732 |
transcript.whisperx[602].text |
好所以呢我還是回到這裡就這一次的諮詢業因為用了壯士代的董茲樂園有規劃了展場跟AI有關那這一個跟這一個 |
transcript.whisperx[603].start |
16094.784 |
transcript.whisperx[603].end |
16117.862 |
transcript.whisperx[603].text |
是不是因為他可以提供裝飾在第三人生不僅是促進中年轉職的機會或者促進中生學習第三人生大學的推動或者是整個多元化的共同都有很多很肯定的幫助所以是不是可以請求這個訴發部是不是可以一個月之內就以上的四個面向能夠提出報告 |
transcript.whisperx[604].start |
16119.804 |
transcript.whisperx[604].end |
16120.184 |
transcript.whisperx[604].text |
好的,謝謝部長 |
transcript.whisperx[605].start |
16146.311 |
transcript.whisperx[605].end |
16149.275 |
transcript.whisperx[605].text |
好謝謝吳孫生委員謝謝部長那我們接下來請葉元之委員發言麻煩請部長謝謝好請部長 |
transcript.whisperx[606].start |
16168.365 |
transcript.whisperx[606].end |
16187.334 |
transcript.whisperx[606].text |
市長先請教一下之前速發布大力宣傳的台灣雲市集所謂的點線面平台現在還存在嗎我們那個雲市集主要是給中小企業我知道我現在是問的點線面平台現在還存在嗎還存在效果怎麼樣現在 |
transcript.whisperx[607].start |
16190.205 |
transcript.whisperx[607].end |
16206.825 |
transcript.whisperx[607].text |
效果有多少店家加入6萬8千家6萬8千家那這樣算6萬8千家有加入這個外送平台所以民眾可以透過LINE綁定然後去跟這些6萬8千家訂餐是嗎 |
transcript.whisperx[608].start |
16210.083 |
transcript.whisperx[608].end |
16235.064 |
transcript.whisperx[608].text |
我知道我們上架的這個支付的系統然後另外8家的中小企業去用不是啦我在問點線面平台你直接回應我好不好因為那時候你們宣傳的是說如果參加這個台灣雲市集然後一般的民眾如果叫外送的話可以用來綁定嘛不用排隊嘛而且經濟部還有補助嘛所以有多少家餐廳加入這個外送平台服務 |
transcript.whisperx[609].start |
16235.865 |
transcript.whisperx[609].end |
16238.85 |
transcript.whisperx[609].text |
就是6萬8千6萬8那你覺得多還是少你覺得多還是少這有達到你們預期的目標嗎 |
transcript.whisperx[610].start |
16247.353 |
transcript.whisperx[610].end |
16276.036 |
transcript.whisperx[610].text |
欸部長為什麼都不回答這是旁邊第三個人跟第二個人解釋然後你就躲在旁邊我現在是在質詢部長還是在質詢部長為什麼問這東西因為這個東西是你們數位發布當時一直在宣傳的嘛也被社會廣泛討論啊結果你對於這個業務完全一竅不通還要叫別人來提醒你然後提醒你的那個人自己也不清楚還要叫第三個人來提醒那當初你宣傳這個點線平台在宣傳假的喔 |
transcript.whisperx[611].start |
16276.516 |
transcript.whisperx[611].end |
16302.446 |
transcript.whisperx[611].text |
你有在追蹤這個後續的效果嗎那個雲世紀這個project我care是上面上層這個你們當時宣傳的就是這個點線面平台嗎社會大眾關心的是你們這個東西當初講了後續嘛沒關係啦你之後再補資料給我現在感覺是好像你完全沒有掌握狀況所以當時講了放一把火就沒事了還叫經濟部補助一堆錢然後有沒有效果你也現在搞不清楚狀況 |
transcript.whisperx[612].start |
16303.266 |
transcript.whisperx[612].end |
16305.969 |
transcript.whisperx[612].text |
那個時候因為我們都知道隔幾天周杰倫演唱會就要開始了嘛 |
transcript.whisperx[613].start |
16318.223 |
transcript.whisperx[613].end |
16333.882 |
transcript.whisperx[613].text |
周杰倫演唱會黃牛票非常嚴重當時你們前部長唐鳳部長說只要數位簽章把過關的話有通過的話可以解決黃牛票的問題我想請教一下現在這個部分進度到哪裡了 |
transcript.whisperx[614].start |
16335.763 |
transcript.whisperx[614].end |
16352.433 |
transcript.whisperx[614].text |
市民制不是問題現在是說執行單位要不要用市民制沒有他不是這樣講的喔他的講法是說因為現在黃牛票很多人會用機器人掃票所以如果電子簽章法有過的話到時候這些機器人掃票他也必須要提供電子簽章所以會加強他就會 |
transcript.whisperx[615].start |
16353.493 |
transcript.whisperx[615].end |
16358.516 |
transcript.whisperx[615].text |
拜託委員這個都可以執行現在問題是在說執行單位在收票就是你驗票要進來驗票然後增加的成本我現在講的是機器人 |
transcript.whisperx[616].start |
16375.124 |
transcript.whisperx[616].end |
16391.419 |
transcript.whisperx[616].text |
拜託不要一直岔開話題唐鳳講的就是機器人掃票他講的是說如果你機器人掃票的話你如果不需要提供這些姓名沒有電子簽帳的話那他就可以隨便提供很多個資就可以去買了但是如果說有電子簽帳的話就會增加難度這是唐鳳講的 |
transcript.whisperx[617].start |
16393.02 |
transcript.whisperx[617].end |
16420.198 |
transcript.whisperx[617].text |
對,所以跟什麼你要不要進去那個無關我現在講的是第一階段機器人掃票的部分你不要一直扭曲我的問題好不好我的問題那麼簡單請問一下電子簽贓法如果現在已經通過了嘛那有一年的日落條款嘛那請教一下等可以做到唐鳳的那樣杜絕黃牛票要到什麼時候要到什麼時候但是那個就是賣票的單位不願意做不是對,是這樣子就是確實這樣子所以現在立刻可以是不是現在立刻可以 |
transcript.whisperx[618].start |
16420.898 |
transcript.whisperx[618].end |
16434.728 |
transcript.whisperx[618].text |
現在那個技術現在只要現在只要你的意思是說現在只要賣票單位願意接受的話立刻可以做就可以執行不那跟電子簽商數位簽商法無關跟數位簽商法無關是這個意思很多技術不電子簽商可以是其中一個技術其中一個那當時唐鳳為什麼要這樣瞎掰我講的是他講的話欸 |
transcript.whisperx[619].start |
16437.31 |
transcript.whisperx[619].end |
16462.329 |
transcript.whisperx[619].text |
是他講說到時候數位簽證法過關的話黃牛票問題也可以通過這種方式解決而且他已經跟文化部在討論這他講的結果你現在打臉他你說跟那個沒關阿其實有很多技術可以解決只要賣票單位可以接受話都給你們講就好了阿主要是看售票單位那他為什麼這樣講嗎技術是在我講的是唐鳳講的話唐鳳講的話你就不認了啦反正錢鈔現在都跟你們無關第三個問題 |
transcript.whisperx[620].start |
16465.631 |
transcript.whisperx[620].end |
16493.995 |
transcript.whisperx[620].text |
你們現在到底跟六大平台的關係怎麼樣現在就是有密切的密切合作那之前為什麼會出現很多財經的網紅他們被下架為什麼那個上次我已經解釋過那個是內部是Facebook的Meta內部作業的問題所以跟我們數話部無關那有白名單這種事情嗎白名單也不是我們提供的那誰提供的這個不清楚不清楚對但是不是我們數話部提供的 |
transcript.whisperx[621].start |
16494.488 |
transcript.whisperx[621].end |
16523.802 |
transcript.whisperx[621].text |
那你們數位發展部平常跟他們都怎麼溝通我們都是叫他下架對我們如果看到假廣告被我們掃描出來或是民眾報案我們就叫他下架那我們是叫他下架哪一些廣告但是那個上次那個事件是內部他們那個Meta內部在作業的我的了解是他們作業內部作業的錯誤造成這些下架但是這個跟數位發展部我們沒有發任何文沒有發任何訊息給他們要求他們做在這個事情上做任何事情這個已經在媒體上沒有用 |
transcript.whisperx[622].start |
16524.082 |
transcript.whisperx[622].end |
16542.367 |
transcript.whisperx[622].text |
有公布對好謝謝好謝謝葉院司委員謝謝部長那我們接下來請黃國昌委員發言呃謝謝主席麻煩有請部長來請部長好好委員好 |
transcript.whisperx[623].start |
16552 |
transcript.whisperx[623].end |
16557.774 |
transcript.whisperx[623].text |
部長好 延續上一次的主題你們數位部也好 數發部也好 |
transcript.whisperx[624].start |
16558.837 |
transcript.whisperx[624].end |
16583.359 |
transcript.whisperx[624].text |
推了很多計畫然後那個計畫的內容我上次問你兩年砸了3億要數位婦人推動銀髮世代社會連結計畫那到底具體的成效是什麼我請你們會後給我資料你們會後給我的資料不好意思部長我講的比較直接一點一堆官樣文章一堆官樣文章 |
transcript.whisperx[625].start |
16584.844 |
transcript.whisperx[625].end |
16610.23 |
transcript.whisperx[625].text |
我們以前啊在大學的時候我相信部長經驗也很豐富啊大家審過非常多的計畫什麼是官樣文章啊什麼是有具體的成效其實我們大家都讀得出來內行人不要講外行話但讓我生氣的是什麼讓我生氣的事情是我諮詢完以後結果你們數位部很厲害啊很厲害啊 |
transcript.whisperx[626].start |
16611.387 |
transcript.whisperx[626].end |
16626.737 |
transcript.whisperx[626].text |
處理的方式這個計畫點擊率慘不能讀乾脆把它遮掩掉這個是誰下的決定啊是部長下令的嗎不好意思一個問題一個問題第一個誰下令把它拿掉的是我們的內部人員在你們內部人員權力這麼大喔那當然是有跟我報告所以你同意是嗎 |
transcript.whisperx[627].start |
16640.99 |
transcript.whisperx[627].end |
16669.491 |
transcript.whisperx[627].text |
我同意是因為那個這個因為我們有4000多個資訊那當然就是我們8有超過8萬人次來來來4000多個資訊有超過8萬次8萬人次好8萬人次吧對對平均每一個資訊多少人次數學沒有那麼難啊4000多個資訊有8萬人次但是這個報告委員這個沒辦法平均因為有些訊息很多人想看那有些人看的人就比較沒有啦不要講空的啦 |
transcript.whisperx[628].start |
16671.462 |
transcript.whisperx[628].end |
16689.532 |
transcript.whisperx[628].text |
我上次這個點擊率慘不能賭嘛啊你們處理問題的方式是什麼不是解決問題啊是把發現問題的線索全部都抹掉啊點擊人數直接拿掉掩耳盜鈴啊你們後來說有4000多個頁面4000多個資訊那總點擊率是8萬多嘛那我就問你嘛一個頁面一個資訊的點擊率是多少 |
transcript.whisperx[629].start |
16700.069 |
transcript.whisperx[629].end |
16727.187 |
transcript.whisperx[629].text |
平均是多少就20次嘛這個數學有這麼困難嗎不是這個報告委員這個因為4000多個頁面有的可能會有破萬的點擊有的可能只有幾個沒有錯那沒有關係啊哪一個點擊率好哪一個點擊率不好老老實實的呈現出來給大家看有什麼問題啊奇怪耶民進黨政府從2016年以來講的口號是什麼 |
transcript.whisperx[630].start |
16728.047 |
transcript.whisperx[630].end |
16752.156 |
transcript.whisperx[630].text |
是開放政府欸是公開透明欸這個符合開放政府的理念嗎這個符合公開透明的理念嗎還是點擊率不好慘不能賭最快的方式是什麼直接點擊率把它刪掉讓大家不要看我們有一個總體點擊率報告委員這個上次看到這個number報告我剛講8萬人支持我們以為我們是10月20幾號才上去沒有關係啊 |
transcript.whisperx[631].start |
16753.456 |
transcript.whisperx[631].end |
16767.515 |
transcript.whisperx[631].text |
那你就把它放上去嘛半年以後我們再看一次啊一年以後再看一次啊你書發布可以開記者會可以發新聞稿做各式各樣的澄清嘛 |
transcript.whisperx[632].start |
16768.816 |
transcript.whisperx[632].end |
16793.774 |
transcript.whisperx[632].text |
所以我們上去的時間比較短所以這個數字可能比較難看我們相信半年以後一年以後這個數字一定會大幅提升能夠好好的擴大我們的引法族跟社會的連結各項活動各項計畫沉積斐然請社會大眾拭目以待一個有信心的政府 |
transcript.whisperx[633].start |
16794.534 |
transcript.whisperx[633].end |
16811.052 |
transcript.whisperx[633].text |
一個號稱要公開透明的政府不是應該這樣做嗎?部長我有沒有說錯?那個謝謝委員的指導那我想這個其實很簡單那如果委員認為這個數字很重要我們就再把它放回去好把它放回去齁我們過一段時間繼續再來檢驗我老實跟你講啦為什麼我覺得這個計畫非常的荒謬 |
transcript.whisperx[634].start |
16818.148 |
transcript.whisperx[634].end |
16840.353 |
transcript.whisperx[634].text |
點進去喔還不一定會真的去參加那個活動真的要計算KPI是什麼真的要計算KPI是說我投了這幾億下去做了這些事情我實際產出的output是什麼所以我實際產出的output我老實講也不是上去看點擊幾次而是實際到那個地方參與那個活動的人因為這個 |
transcript.whisperx[635].start |
16841.946 |
transcript.whisperx[635].end |
16859.859 |
transcript.whisperx[635].text |
而增加了多少這個才是實際的Major的方式嘛但問題是什麼但問題是說有點幾並不代表什麼並不代表有趣但是什麼如果連點都不點的話代表他的效益我可以很確定的講是ZERO |
transcript.whisperx[636].start |
16860.854 |
transcript.whisperx[636].end |
16887.301 |
transcript.whisperx[636].text |
是零嘛你們該做的事情不是直接把點擊的次數抹掉你們該做的事情是除了點擊的次數以外到那個空間到那個地點參與那個活動的你們進一步去調查請問你來參加這個活動獲得資訊的管道是什麼你才有辦法去major你這個計畫實際產生的效用跟output是什麼嘛 |
transcript.whisperx[637].start |
16888.337 |
transcript.whisperx[637].end |
16907.375 |
transcript.whisperx[637].text |
這個是一個非常簡單的道理我沒有辦法理解啦數位部為什麼沒有辦法理解這麼簡單的道理但是我上次是善意跟部長講請你回去了解這些計畫因為如果實際上面執行的成果是這個樣子你會很難說服很多的委員 |
transcript.whisperx[638].start |
16908.476 |
transcript.whisperx[638].end |
16936.334 |
transcript.whisperx[638].text |
在明年繼續支持這個計畫相同的狀況一樣我代部長看我上次問說次世代行動創新應用負能發展計畫兩年兩億一千三百萬到底在做什麼因為我為什麼會有這個困惑因為這個困惑是連審查委員都說與既有的計畫高度重疊這不是我講的是審查委員講的 |
transcript.whisperx[639].start |
16937.847 |
transcript.whisperx[639].end |
16965.12 |
transcript.whisperx[639].text |
然後呢你們給我的書面回覆我不知道部長有沒有看你說啊這裡面有什麼有智慧教育也有智慧醫療但人家在說的是什麼你的智慧教育智慧醫療跟教育部的校園五級示範教室跟學習載具計畫到底有什麼不同跟衛福部導入五級級智慧科技提升醫療與健康照護有什麼不同 |
transcript.whisperx[640].start |
16966.098 |
transcript.whisperx[640].end |
16988.784 |
transcript.whisperx[640].text |
因為這些計畫書我全部都拜讀過了我拜讀完了以後不好意思我跟部長講我陷入了極度的迷惘到底有什麼不一樣不同的部會用計畫當名目找一些fancy的詞幾億幾億這樣的話我們的政府很有錢那個主席已經站起來我拜託部長 |
transcript.whisperx[641].start |
16989.881 |
transcript.whisperx[641].end |
17006.908 |
transcript.whisperx[641].text |
我再給你們一次機會我再給你們一次機會這個計畫存在的意義跟目的到底是什麼跟其他部會的計畫到底有什麼不一樣你們第一次送來給我的書面回覆我看完了但我看完以後的心得就像我剛剛跟部長報告一樣 |
transcript.whisperx[642].start |
17007.995 |
transcript.whisperx[642].end |
17008.275 |
transcript.whisperx[642].text |
這個委員那個報告謝謝 |
transcript.whisperx[643].start |
17033.961 |
transcript.whisperx[643].end |
17038.425 |
transcript.whisperx[643].text |
好謝謝黃國昌委員謝謝部長我們接下來請林楚英委員發言謝謝主席主席有請黃部長好請部長 |
transcript.whisperx[644].start |
17056.268 |
transcript.whisperx[644].end |
17057.228 |
transcript.whisperx[644].text |
網路的詐騙最重要的當然就是廣告的刊登 |
transcript.whisperx[645].start |
17084.667 |
transcript.whisperx[645].end |
17089.108 |
transcript.whisperx[645].text |
接下來有六大平台被點名會針對廣告委託脫波者的身份要做驗證我們簡單的來講就是所謂的KYC那麼這六大平台現在被點名的當中這六個當中部長哪些有落地哪些沒有落地 |
transcript.whisperx[646].start |
17105.363 |
transcript.whisperx[646].end |
17126.825 |
transcript.whisperx[646].text |
目前都有申請那個就是所謂法律代表人都已經申請了但是其實有法律代表人跟有沒有真的在台灣有分公司或辦公室其實成本不一樣他們遵循台灣法規也就不一樣我想部長你應該知道的比如說今天大家都在講的Facebook或Meta |
transcript.whisperx[647].start |
17127.526 |
transcript.whisperx[647].end |
17153.069 |
transcript.whisperx[647].text |
他就是有一個所謂代表人但是他其實事實上他沒有分公司在這裡他也只接廣告業務但是比如說像LINE他其實是有分公司在這裡那麼他們遵循國內的法規就不一樣那麼接下來我們打造司法要針對廣告來做KYC的時候部長您知不知道其實廣告下廣告的方法不一樣有哪幾種方法你知道嗎 |
transcript.whisperx[648].start |
17157.929 |
transcript.whisperx[648].end |
17175.528 |
transcript.whisperx[648].text |
這個詳細對詳細我對詳細我不信但是我們剛剛講就是說其實就納管的意思就是說如果他有發現沒有廣告實名制我們就好部長我來告訴你好了因為本席來自於業界我雖然在媒體圈但是媒體圈廣告是非常重要其實平台也是媒體有三大種 |
transcript.whisperx[649].start |
17176.309 |
transcript.whisperx[649].end |
17196.025 |
transcript.whisperx[649].text |
我希望數位部的同仁如果你們不了解的話也去了解一下第一種叫做平台職客就是我們現在在場的所有人都可以跟平台下廣告我自己跟平台下廣告的時候因為我有開發票的問題我有稅務的問題在場的大家都會被實名制另外一種叫代理商 |
transcript.whisperx[650].start |
17197.202 |
transcript.whisperx[650].end |
17198.864 |
transcript.whisperx[650].text |
第三種我現在要講的第三種就是叫做自助投放 |
transcript.whisperx[651].start |
17219.468 |
transcript.whisperx[651].end |
17241.19 |
transcript.whisperx[651].text |
自助投放是利用一種網路媒合的方式它用勾選條件的方法這個方法它是透過一個網際網路跨域性的我必須要講部長我們立法雖然利益良善但是第三種是透過網路跨區域的媒合 |
transcript.whisperx[652].start |
17242.091 |
transcript.whisperx[652].end |
17266.564 |
transcript.whisperx[652].text |
今天他就直接透過網路連線的方式就去登廣告了我必須說現在你看到很多包括不只是這三大平台很多媒體網媒他看起來很像狗皮膏藥每次你去點到裡面你就覺得非常煩要把它點掉的那個廣告他多數就是透過我想的第三種 |
transcript.whisperx[653].start |
17268.154 |
transcript.whisperx[653].end |
17291.813 |
transcript.whisperx[653].text |
就是所謂的自助投放的方式這種未來現在請問訴發部找到了讓他KYC的方法嗎?我跟你說喔如果你如果沒有把這個方法解決掉或杜絕掉尤其他是跨網域他可能是外國人他不是跳板他本身就從外國進來你根本抓不到這個人喔 |
transcript.whisperx[654].start |
17294.68 |
transcript.whisperx[654].end |
17319.781 |
transcript.whisperx[654].text |
因為本席看了非常多的質詢或者是討論沒有人特別的針對這個來點來點出來所以為什麼本席今天要站在這裡做質詢我也要提醒你們那我想請問一下現在在部長旁邊的是是那我稍微說明一下跟委員說明那Google聯播網站是最大的這一個可能委員指的是這一個那我要求Google一定要把他後面下廣告的人也要實名制所以我們當然 |
transcript.whisperx[655].start |
17321.322 |
transcript.whisperx[655].end |
17338.593 |
transcript.whisperx[655].text |
所以包括我講的第三屆自動自助投放的方式也可以這個是Google也答應我們好 那麼就是在上路之後可以實施好 因為這個部分非常重要那我要如果可以的話那當然是最好另外你們現在講的要定期的平台要發布透明報告那也就是所謂的要有所謂的白名單嘛對不對 |
transcript.whisperx[656].start |
17344.617 |
transcript.whisperx[656].end |
17359.892 |
transcript.whisperx[656].text |
那麼現在我們所點名的六大平台當中我必須說每一個人的狀況不一樣你們手上針對掌握他們在被詐騙廣告所投放的比率包括內容 |
transcript.whisperx[657].start |
17362.628 |
transcript.whisperx[657].end |
17382.841 |
transcript.whisperx[657].text |
有沒有一定他們這六個絕對不可能每一個人有擁有詐騙廣告的比例是一樣的那你們現在有一個數字嗎比如說Google、YouTube、Live、Facebook、Instagram跟Ttalk誰最嚴重誰是屬於前段班的學生誰是屬於後段班的學生本席要提問的第二個問題是這六大平台當中有沒有現在一個現有的報告 |
transcript.whisperx[658].start |
17387.003 |
transcript.whisperx[658].end |
17414.771 |
transcript.whisperx[658].text |
誰在詐騙防範當中打造防範當中最支持我們現在臺灣中華民國的政府誰是屬於特別不不想合作不配合或相應不理的部長報告委員那個其實現在這幾個平臺都有跟我們合作那最配合當然就是google跟line他們從這個現在均開始落實實名制那最大的目前的就會加廣告的來源是在facebook |
transcript.whisperx[659].start |
17415.131 |
transcript.whisperx[659].end |
17443.573 |
transcript.whisperx[659].text |
所以META也答應我們現在已經開始實施對所謂高風險的客戶那他答應我們說在1月底前會全面實施那我們也是在後面督促如果那個我們密切跟他保持所謂的這個交流確定他們有照這個進度在實施所以應該如果照他們所答應我們的那個做法應該是在1月底前全面實施實名制包括剛剛講的三種廣告的太陽他們都會去落實 |
transcript.whisperx[660].start |
17444.754 |
transcript.whisperx[660].end |
17449.458 |
transcript.whisperx[660].text |
最後本席只想再借用主席一點時間就是董瑞斌以銀行工會的理事長來講說金融打炸所以全面無法實名制的他都要全部的不下廣告這個本席是贊同也認可但是就像本席剛剛講的在這六大平台或幾大平台當中有優等生也有這個好像鞭子不打下來就不動的那麼要有差異化 |
transcript.whisperx[661].start |
17471.135 |
transcript.whisperx[661].end |
17474.977 |
transcript.whisperx[661].text |
如果願意認真配合我們來實施所謂打詐然後來讓打詐無所遁形的我們可以給予肯定甚至於公佈白名單所以本席要建議就是除了定期的讓他們交報告之外這些不法的不乖的 |
transcript.whisperx[662].start |
17487.503 |
transcript.whisperx[662].end |
17506.45 |
transcript.whisperx[662].text |
不願意配合我們打炸四法的就公佈他甚至於在稅法稅務上面跟財政部、金管會或者是NCC交通部一起來合作讓他們能夠被看到他們的態度完略因為就像我講的登廣告方式三種 |
transcript.whisperx[663].start |
17507.97 |
transcript.whisperx[663].end |
17521.638 |
transcript.whisperx[663].text |
那除了這個所謂自主投放的之外還有職客還有代理商我們就希望所有的職客代理商不是只有董瑞兵說我們銀行相關的就是銀行保險證券期貨我們不要投廣告全民都不要投廣告所有企業都不要投廣告這樣他才會怕但是同樣的也不要一竿子打翻全傳人 |
transcript.whisperx[664].start |
17530.014 |
transcript.whisperx[664].end |
17545.259 |
transcript.whisperx[664].text |
愿意配合的、優秀的、他有改善的那把它公布出來黑名單、白名單一併公布好嗎好那本席關心的有關於那個自主廣告所謂的自主投放式的怎麼樣來納管是不是也可以給我會後給我一個比較詳盡的說明好嗎謝謝好謝謝林處理委員謝謝部長接下來請劉建國委員發言 |
transcript.whisperx[665].start |
17561.109 |
transcript.whisperx[665].end |
17579.707 |
transcript.whisperx[665].text |
謝謝主席,有請黃部長好,請部長部長今天來交通委員會是希望能夠拜託你一件事情就是有關這個目前公部門內爆發的霸凌的問題部長有沒有掌握到這次勞動不勞花署、北分署的這個事件 |
transcript.whisperx[666].start |
17582.153 |
transcript.whisperx[666].end |
17601.743 |
transcript.whisperx[666].text |
我是第一個提出了解到這個北分署人流異常的委員然後包含那個老挖署他的貴署也是一樣的異常也是在質詢的時候我問出來的那你看這個北分署長就任的時候不到兩年時間他那個單位就好像大爛一樣 |
transcript.whisperx[667].start |
17603.283 |
transcript.whisperx[667].end |
17626.616 |
transcript.whisperx[667].text |
一次走了81一位如果連輕生那一位他也是有提出申請哦偷偷是82位這是非常非常離譜的一件事情嘛那我有面對這個人力的流動異常的狀態在11月20號的時候在衛生委員會我有特別來要求執行這個權需部跟人事總處然後是我要建置一套這個預警的機制啦那當時的時候這個 |
transcript.whisperx[668].start |
17630.016 |
transcript.whisperx[668].end |
17645.591 |
transcript.whisperx[668].text |
這個權敘不是這麼打呼我他說這個工人離職調集工人員調動資料分別在這兩個單位在做處理但是一直沒有辦法對接出來對接起來那可能要等到明年那我現在私底下了解他可能連明年都沒辦法對接了 |
transcript.whisperx[669].start |
17646.702 |
transcript.whisperx[669].end |
17663.611 |
transcript.whisperx[669].text |
這個台灣是個數位資訊進步的國家怎麼會這個離子跟調動的相關資料要對接起來會這麼困難所以我是希望可以請教部長你對這個事情怎麼看法那你這個單位你們貴部能不能予以協助 |
transcript.whisperx[670].start |
17667.139 |
transcript.whisperx[670].end |
17679.023 |
transcript.whisperx[670].text |
議員提到霸凌這個事情但是我剛才強調就是這是在我們單位也不容許的事情所以我們現在已經啟動調查那當然就是說在10月11號調查結果出來我馬上立刻做處置 |
transcript.whisperx[671].start |
17679.923 |
transcript.whisperx[671].end |
17681.424 |
transcript.whisperx[671].text |
關於資訊、薪資、人員調動的比例,我們內部是有自己的統計,但是其他部會要提供數位化的資訊嗎? |
transcript.whisperx[672].start |
17699.878 |
transcript.whisperx[672].end |
17719.29 |
transcript.whisperx[672].text |
沒有啦,我的問題很清楚嘛,八點的事情我都還沒有問你,你就直接講了,等一下我們就好好討論啦。我是說,請部長,我是今天來特別拜託你,這個人事總署跟這個權修部,這個離職跟調職的相關資料對接起來,他們說可能到明年才會完成。 |
transcript.whisperx[673].start |
17719.73 |
transcript.whisperx[673].end |
17747.941 |
transcript.whisperx[673].text |
我私下了解說可能連明年都對接不起來怎麼接都接不上站在數位部的角度立場跟你們專業能不能予以協助啦我的問題就這樣而已啊那個就是堅持這兩個單位的系統的界界這個我們請那個我們的那個數位政府能不能予以協助啦就這樣而已可以嘛可以就好可以就好因為你們如果予以協助應該就不用等到明年甚至要有五期嘛一直對接不上嘛但是這個不是 |
transcript.whisperx[674].start |
17749.221 |
transcript.whisperx[674].end |
17749.401 |
transcript.whisperx[674].text |
委員會主席 |
transcript.whisperx[675].start |
17769.634 |
transcript.whisperx[675].end |
17793.461 |
transcript.whisperx[675].text |
這樣的技術目前應該是可以辦到嘛對不對請教部長可以嘛好那但是如果這個單位的所長階層對人有異常完全不在乎啦那甚至以為自己單位的人員都是被挖角還是要照顧家庭或者是緩鄉才導致自己單位的能力一直流失那這個恐怕不是AI的可以去處理的嘛就沒辦法嘛對不對如果這個單位的階層 |
transcript.whisperx[676].start |
17796.28 |
transcript.whisperx[676].end |
17796.62 |
transcript.whisperx[676].text |
稍微講到11月21日 |
transcript.whisperx[677].start |
17818.826 |
transcript.whisperx[677].end |
17845.421 |
transcript.whisperx[677].text |
我本來不想問你說,我就跟你說一個比較有的,對嗎?資安署內部有情緒管控的問題的長官存在。貼文講得這麼清楚,部長可以看嘛。長官脾氣暴躁,經常罵人,罵到牆壁都快倒下的感覺。部長有掌握嗎?有,我們現在在調查中。好,我這邊也有同樣接到署名一群資安署的受破員工借來澄清信啦齁。繼續寫類嘛。然後控制資安署的管理不當,直接點名資安署署長跟副署長標罵下屬言語霸凌嘛。 |
transcript.whisperx[678].start |
17849.461 |
transcript.whisperx[678].end |
17867.348 |
transcript.whisperx[678].text |
這一張我也有交給部長是嗎?部長等一下你看你怎麼答覆的啦照理講這個新的一個單位基本上就像一個新大陸大家都會想要轉掉進去的一個單位嘛但是怎麼會現在都轉出來然後資安署是111年8月27日成立預算有165 |
transcript.whisperx[679].start |
17868.268 |
transcript.whisperx[679].end |
17883.257 |
transcript.whisperx[679].text |
一二零是一四六一一三零剩下一二九或許一四六扣一二九少了十七個大家覺得不怎麼樣但是成立到現在總移植人數是四十二人平調七人降調十四人辭職二十一人部長你覺得這嚴不嚴重這個單位有沒有出問題 |
transcript.whisperx[680].start |
17884.318 |
transcript.whisperx[680].end |
17890.342 |
transcript.whisperx[680].text |
本署人員調職原因多數外界挖角,直來發展選擇反鄉家庭照顧或經濟因素或等考量而調離限職,致本署流動率偏高。另又因 |
transcript.whisperx[681].start |
17910.473 |
transcript.whisperx[681].end |
17926.191 |
transcript.whisperx[681].text |
這一個資産高階人才藍蜜且本署經用人員過程嚴謹需通過彼氏面試篩選呼應本署組織業務特性公人員及朋友人員經用需辦理查核查核通過使得經用相關人員亦受嚴格儘管這個限制 |
transcript.whisperx[682].start |
17928.484 |
transcript.whisperx[682].end |
17949.92 |
transcript.whisperx[682].text |
至常遇到對外公告、徵裁、無人報名、人員資格不符等狀況未來本署將持續積極規劃辦理各類人員徵選、養成與留財、作業、自立、補食、缺額。就這麼難找人啊藍密的治安高階人才正用過程嚴謹的你們還可以在兩年內讓他跑到42位誰要負責?請回答我誰該負責? |
transcript.whisperx[683].start |
17955.117 |
transcript.whisperx[683].end |
17978.532 |
transcript.whisperx[683].text |
不要再給我講到別的題目我時間到了誰該負責啊為什麼有這樣的答覆我給你這一張我給你這一張一群血液員工的控訴你給我答覆這樣的還用正式公文是安理署答覆的嗎還是部長你授意他們這樣答覆我的跟委員報告一下我跟你們沒完沒了啊沒有沒有謝謝委員真的非常謝謝委員這個誰要求這樣答覆的 |
transcript.whisperx[684].start |
17982.84 |
transcript.whisperx[684].end |
18004.291 |
transcript.whisperx[684].text |
誰做成決議做這樣的公文書答覆到我的辦公室我給你這一張你給我這一個誰決定的啦你答覆我誰決定我沒有問你其他問題誰決定的報告委員您給的這個公文書您給的公文書因為投訴的對象我不是給你公文書我是給你陳情書你是給我公文書誰給的誰做決定 |
transcript.whisperx[685].start |
18008.064 |
transcript.whisperx[685].end |
18015.868 |
transcript.whisperx[685].text |
報告委員我們非常想要留所有的員工所以每一個員工去哪裡我們都會追蹤請答覆我誰給我這一張公文書我給你員工的陳情信你給我這一張公文書誰給我的這一張回我的公文信公文書誰回的這個內容 |
transcript.whisperx[686].start |
18032.415 |
transcript.whisperx[686].end |
18049.974 |
transcript.whisperx[686].text |
議員8 |
transcript.whisperx[687].start |
18050.873 |
transcript.whisperx[687].end |
18063.328 |
transcript.whisperx[687].text |
對 責任使的回覆為什麼我給 我是交代國會聯絡人給你部長啊你為什麼要交代治安署的署長來做這樣的關槍關室的回覆然後自己在那邊打臉你就這麼難找人啊這麼嚴謹啊你講兩天用招40幾個 |
transcript.whisperx[688].start |
18067.193 |
transcript.whisperx[688].end |
18069.634 |
transcript.whisperx[688].text |
立法院立法院立法院立法院立法院立法院立法院立法 |
transcript.whisperx[689].start |
18093.803 |
transcript.whisperx[689].end |
18118.38 |
transcript.whisperx[689].text |
有沒有嚴重嗎?你們這麼嚴謹的在招募人才,這麼短的單位讓這麼多人,這又是替本話的捏。連替本話都放棄,他以為是辭職捏。不是只有轉調、平調、降調而已捏。跟委員報告,那個投訴的部分我們有列專案小組的那個調查,以上報告。董事長,你覺得他們給我回這樣有道理? |
transcript.whisperx[690].start |
18121.679 |
transcript.whisperx[690].end |
18124.161 |
transcript.whisperx[690].text |
你是覺得我覺得你給我回的不夠具體所以我才今天來這邊質詢 |
transcript.whisperx[691].start |
18137.148 |
transcript.whisperx[691].end |
18155.418 |
transcript.whisperx[691].text |
那我們就讓他公開讓大家很清楚的你怎麼回我嘛部裡面現在就是剛剛講說一調查報告出來馬上會做處理那現在就是我們就是這個已經起動了針對員工霸凌是一件事情嘛我是請教部長說這麼短的時間內資安署這麼嚴謹在招募人才對不對這你們寫的嘛那怎麼這麼短的時間讓42位的同仁離開你們的單位誰該負責嘛霸凌是另外一件事情嘛 |
transcript.whisperx[692].start |
18165.199 |
transcript.whisperx[692].end |
18166.56 |
transcript.whisperx[692].text |
所以就叫做外界挖角吧 |
transcript.whisperx[693].start |
18190.492 |
transcript.whisperx[693].end |
18213.013 |
transcript.whisperx[693].text |
但是委員我有詳細的資料就是每一個人去哪裡這個有詳細的資料所以可以經得起檢視就是我們真的很想留員工所以我們其實都會問員工說那你現在你要去哪裡然後你的薪水是多少那有很多員工告訴我說他薪水變多而且主席給我很長的時間了你如果這麼講我實在也也不曉得再怎麼跟你講下去了反正我覺得說 |
transcript.whisperx[694].start |
18214.594 |
transcript.whisperx[694].end |
18237.97 |
transcript.whisperx[694].text |
你們就是很懇切的很好的這樣的一個心情希望留住更多的這個同仁但是他們就是因為怎麼樣怎樣被挖角了如果你還這樣講那好那我們就好好的來了解更清楚嘛我這一張我這一張這個他們給我的這個陳情書我再給部長啦部長如果你們要再持續這樣答覆我我是覺得你們數碼署是真的 |
transcript.whisperx[695].start |
18238.53 |
transcript.whisperx[695].end |
18240.691 |
transcript.whisperx[695].text |
接下來請賴世保委員發言賴世保,賴世保委員不在 |
transcript.whisperx[696].start |
18256.08 |
transcript.whisperx[696].end |
18264.286 |
transcript.whisperx[696].text |
羅廷偉委員不在鄭正前委員不在蘇清泉委員不在高金素梅委員不在王美惠委員不在張其凱委員不在羅美玲委員不在 |
transcript.whisperx[697].start |
18277.537 |
transcript.whisperx[697].end |
18285.05 |
transcript.whisperx[697].text |
登記諮詢委員均已發言完畢我們做以下決議報告及詢答完畢委員羅美玲所提書面諮詢列入記錄並開發公報 |
transcript.whisperx[698].start |
18287.622 |
transcript.whisperx[698].end |
18307.25 |
transcript.whisperx[698].text |
第三委員在質詢中要求提供相關書面資料或未及答覆部分請數位發展部競速以書面答覆第四114年度數位發展部單位預算令則其進行處理委員預算提案在12月20號星期五中午12點前截止收件本次會議到此結束現在散會 |
IVOD_ID |
16336 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16336 |
日期 |
2024-12-04 |
會議資料.會議代碼 |
委員會-11-2-23-13 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
13 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
23 |
會議資料.標題 |
第11屆第2會期交通委員會第13次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-12-04T08:31:25+08:00 |
結束時間 |
2024-12-04T13:36:00+08:00 |
支援功能[0] |
ai-transcript |