IVOD_ID |
16801 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16801 |
日期 |
2025-07-03 |
會議資料.會議代碼 |
黨團協商-2025070103 |
會議資料.會議代碼:str |
立法院朝野黨團協商 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.種類 |
黨團協商 |
會議資料.標題 |
立法院朝野黨團協商 |
影片種類 |
Full |
開始時間 |
2025-07-03T14:30:02+08:00 |
結束時間 |
2025-07-03T16:58:00+08:00 |
影片長度 |
02:27:58 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/cbbd4ed0b5fcd3a059e42cc9336cac5811cfe35ebce07af90d5b2c3b93916c39a6b7b27d9b175c1c5ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2025-07-03T15:00:00+08:00 |
會議名稱 |
立法院黨團協商(事由:一、研商「中選會函請本院推薦代表參加全國性公民投票案第21案之發表會或辯論會」相關事宜。二、研商「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」等案。(國民黨黨團提議)三、研商「公平交易委員會組織法第四條及第十六條條文修正草案」等案。(台灣民眾黨黨團提議)) |
委員名稱 |
完整會議 |
委員發言時間 |
14:30:02 - 16:58:00 |
transcript.pyannote[0].speaker |
SPEAKER_14 |
transcript.pyannote[0].start |
1797.97784375 |
transcript.pyannote[0].end |
1802.61846875 |
transcript.pyannote[1].speaker |
SPEAKER_14 |
transcript.pyannote[1].start |
1804.12034375 |
transcript.pyannote[1].end |
1805.52096875 |
transcript.pyannote[2].speaker |
SPEAKER_14 |
transcript.pyannote[2].start |
1809.11534375 |
transcript.pyannote[2].end |
1816.03409375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
1816.03409375 |
transcript.pyannote[3].end |
1817.14784375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
1822.73346875 |
transcript.pyannote[4].end |
1823.40846875 |
transcript.pyannote[5].speaker |
SPEAKER_14 |
transcript.pyannote[5].start |
1841.92034375 |
transcript.pyannote[5].end |
1844.92409375 |
transcript.pyannote[6].speaker |
SPEAKER_14 |
transcript.pyannote[6].start |
1900.27409375 |
transcript.pyannote[6].end |
1901.35409375 |
transcript.pyannote[7].speaker |
SPEAKER_14 |
transcript.pyannote[7].start |
1901.96159375 |
transcript.pyannote[7].end |
1905.38721875 |
transcript.pyannote[8].speaker |
SPEAKER_14 |
transcript.pyannote[8].start |
1943.60909375 |
transcript.pyannote[8].end |
1946.14034375 |
transcript.pyannote[9].speaker |
SPEAKER_14 |
transcript.pyannote[9].start |
1947.47346875 |
transcript.pyannote[9].end |
1948.23284375 |
transcript.pyannote[10].speaker |
SPEAKER_14 |
transcript.pyannote[10].start |
1948.58721875 |
transcript.pyannote[10].end |
1950.07221875 |
transcript.pyannote[11].speaker |
SPEAKER_14 |
transcript.pyannote[11].start |
1951.96221875 |
transcript.pyannote[11].end |
1955.94471875 |
transcript.pyannote[12].speaker |
SPEAKER_14 |
transcript.pyannote[12].start |
1955.97846875 |
transcript.pyannote[12].end |
1956.95721875 |
transcript.pyannote[13].speaker |
SPEAKER_14 |
transcript.pyannote[13].start |
1957.42971875 |
transcript.pyannote[13].end |
1958.72909375 |
transcript.pyannote[14].speaker |
SPEAKER_14 |
transcript.pyannote[14].start |
1959.47159375 |
transcript.pyannote[14].end |
1976.00909375 |
transcript.pyannote[15].speaker |
SPEAKER_14 |
transcript.pyannote[15].start |
1976.88659375 |
transcript.pyannote[15].end |
1979.50221875 |
transcript.pyannote[16].speaker |
SPEAKER_14 |
transcript.pyannote[16].start |
1979.83971875 |
transcript.pyannote[16].end |
1981.98284375 |
transcript.pyannote[17].speaker |
SPEAKER_14 |
transcript.pyannote[17].start |
1982.84346875 |
transcript.pyannote[17].end |
1986.52221875 |
transcript.pyannote[18].speaker |
SPEAKER_14 |
transcript.pyannote[18].start |
1987.23096875 |
transcript.pyannote[18].end |
1997.17034375 |
transcript.pyannote[19].speaker |
SPEAKER_14 |
transcript.pyannote[19].start |
1998.11534375 |
transcript.pyannote[19].end |
2006.08034375 |
transcript.pyannote[20].speaker |
SPEAKER_14 |
transcript.pyannote[20].start |
2006.28284375 |
transcript.pyannote[20].end |
2010.38346875 |
transcript.pyannote[21].speaker |
SPEAKER_14 |
transcript.pyannote[21].start |
2010.70409375 |
transcript.pyannote[21].end |
2011.88534375 |
transcript.pyannote[22].speaker |
SPEAKER_14 |
transcript.pyannote[22].start |
2012.88096875 |
transcript.pyannote[22].end |
2019.00659375 |
transcript.pyannote[23].speaker |
SPEAKER_14 |
transcript.pyannote[23].start |
2019.56346875 |
transcript.pyannote[23].end |
2031.10596875 |
transcript.pyannote[24].speaker |
SPEAKER_14 |
transcript.pyannote[24].start |
2033.29971875 |
transcript.pyannote[24].end |
2034.80159375 |
transcript.pyannote[25].speaker |
SPEAKER_13 |
transcript.pyannote[25].start |
2038.36221875 |
transcript.pyannote[25].end |
2040.72471875 |
transcript.pyannote[26].speaker |
SPEAKER_13 |
transcript.pyannote[26].start |
2041.07909375 |
transcript.pyannote[26].end |
2043.64409375 |
transcript.pyannote[27].speaker |
SPEAKER_13 |
transcript.pyannote[27].start |
2043.96471875 |
transcript.pyannote[27].end |
2044.08284375 |
transcript.pyannote[28].speaker |
SPEAKER_13 |
transcript.pyannote[28].start |
2044.31909375 |
transcript.pyannote[28].end |
2048.70659375 |
transcript.pyannote[29].speaker |
SPEAKER_13 |
transcript.pyannote[29].start |
2050.74846875 |
transcript.pyannote[29].end |
2052.18284375 |
transcript.pyannote[30].speaker |
SPEAKER_13 |
transcript.pyannote[30].start |
2053.51596875 |
transcript.pyannote[30].end |
2056.51971875 |
transcript.pyannote[31].speaker |
SPEAKER_12 |
transcript.pyannote[31].start |
2056.51971875 |
transcript.pyannote[31].end |
2061.66659375 |
transcript.pyannote[32].speaker |
SPEAKER_13 |
transcript.pyannote[32].start |
2056.55346875 |
transcript.pyannote[32].end |
2056.97534375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
2056.97534375 |
transcript.pyannote[33].end |
2056.99221875 |
transcript.pyannote[34].speaker |
SPEAKER_13 |
transcript.pyannote[34].start |
2056.99221875 |
transcript.pyannote[34].end |
2057.00909375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
2057.00909375 |
transcript.pyannote[35].end |
2057.05971875 |
transcript.pyannote[36].speaker |
SPEAKER_13 |
transcript.pyannote[36].start |
2057.05971875 |
transcript.pyannote[36].end |
2057.07659375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
2057.07659375 |
transcript.pyannote[37].end |
2057.14409375 |
transcript.pyannote[38].speaker |
SPEAKER_13 |
transcript.pyannote[38].start |
2057.14409375 |
transcript.pyannote[38].end |
2057.54909375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
2059.65846875 |
transcript.pyannote[39].end |
2063.55659375 |
transcript.pyannote[40].speaker |
SPEAKER_12 |
transcript.pyannote[40].start |
2063.55659375 |
transcript.pyannote[40].end |
2063.74221875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
2063.74221875 |
transcript.pyannote[41].end |
2064.31596875 |
transcript.pyannote[42].speaker |
SPEAKER_12 |
transcript.pyannote[42].start |
2063.91096875 |
transcript.pyannote[42].end |
2066.37471875 |
transcript.pyannote[43].speaker |
SPEAKER_14 |
transcript.pyannote[43].start |
2066.37471875 |
transcript.pyannote[43].end |
2066.45909375 |
transcript.pyannote[44].speaker |
SPEAKER_12 |
transcript.pyannote[44].start |
2066.84721875 |
transcript.pyannote[44].end |
2068.02846875 |
transcript.pyannote[45].speaker |
SPEAKER_14 |
transcript.pyannote[45].start |
2066.89784375 |
transcript.pyannote[45].end |
2075.03159375 |
transcript.pyannote[46].speaker |
SPEAKER_03 |
transcript.pyannote[46].start |
2075.03159375 |
transcript.pyannote[46].end |
2075.35221875 |
transcript.pyannote[47].speaker |
SPEAKER_14 |
transcript.pyannote[47].start |
2075.35221875 |
transcript.pyannote[47].end |
2075.57159375 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
2075.57159375 |
transcript.pyannote[48].end |
2098.28534375 |
transcript.pyannote[49].speaker |
SPEAKER_03 |
transcript.pyannote[49].start |
2098.50471875 |
transcript.pyannote[49].end |
2099.02784375 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
2099.43284375 |
transcript.pyannote[50].end |
2105.69346875 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
2105.76096875 |
transcript.pyannote[51].end |
2107.88721875 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
2108.35971875 |
transcript.pyannote[52].end |
2109.91221875 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
2110.40159375 |
transcript.pyannote[53].end |
2121.96096875 |
transcript.pyannote[54].speaker |
SPEAKER_03 |
transcript.pyannote[54].start |
2122.58534375 |
transcript.pyannote[54].end |
2138.86971875 |
transcript.pyannote[55].speaker |
SPEAKER_03 |
transcript.pyannote[55].start |
2139.46034375 |
transcript.pyannote[55].end |
2144.33721875 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
2145.31596875 |
transcript.pyannote[56].end |
2153.39909375 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
2153.78721875 |
transcript.pyannote[57].end |
2157.43221875 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
2157.82034375 |
transcript.pyannote[58].end |
2169.00846875 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
2169.61596875 |
transcript.pyannote[59].end |
2173.26096875 |
transcript.pyannote[60].speaker |
SPEAKER_14 |
transcript.pyannote[60].start |
2173.26096875 |
transcript.pyannote[60].end |
2176.65284375 |
transcript.pyannote[61].speaker |
SPEAKER_14 |
transcript.pyannote[61].start |
2181.73221875 |
transcript.pyannote[61].end |
2181.74909375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
2181.74909375 |
transcript.pyannote[62].end |
2187.16596875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
2187.70596875 |
transcript.pyannote[63].end |
2188.61721875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
2188.90409375 |
transcript.pyannote[64].end |
2190.27096875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
2190.67596875 |
transcript.pyannote[65].end |
2193.30846875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
2193.56159375 |
transcript.pyannote[66].end |
2198.62409375 |
transcript.pyannote[67].speaker |
SPEAKER_14 |
transcript.pyannote[67].start |
2199.90659375 |
transcript.pyannote[67].end |
2200.32846875 |
transcript.pyannote[68].speaker |
SPEAKER_14 |
transcript.pyannote[68].start |
2200.93596875 |
transcript.pyannote[68].end |
2205.49221875 |
transcript.pyannote[69].speaker |
SPEAKER_14 |
transcript.pyannote[69].start |
2206.04909375 |
transcript.pyannote[69].end |
2209.55909375 |
transcript.pyannote[70].speaker |
SPEAKER_05 |
transcript.pyannote[70].start |
2213.76096875 |
transcript.pyannote[70].end |
2227.61534375 |
transcript.pyannote[71].speaker |
SPEAKER_05 |
transcript.pyannote[71].start |
2227.71659375 |
transcript.pyannote[71].end |
2236.33971875 |
transcript.pyannote[72].speaker |
SPEAKER_05 |
transcript.pyannote[72].start |
2236.86284375 |
transcript.pyannote[72].end |
2243.86596875 |
transcript.pyannote[73].speaker |
SPEAKER_05 |
transcript.pyannote[73].start |
2244.03471875 |
transcript.pyannote[73].end |
2246.56596875 |
transcript.pyannote[74].speaker |
SPEAKER_05 |
transcript.pyannote[74].start |
2246.76846875 |
transcript.pyannote[74].end |
2247.05534375 |
transcript.pyannote[75].speaker |
SPEAKER_05 |
transcript.pyannote[75].start |
2247.57846875 |
transcript.pyannote[75].end |
2255.69534375 |
transcript.pyannote[76].speaker |
SPEAKER_05 |
transcript.pyannote[76].start |
2256.55596875 |
transcript.pyannote[76].end |
2257.56846875 |
transcript.pyannote[77].speaker |
SPEAKER_05 |
transcript.pyannote[77].start |
2258.53034375 |
transcript.pyannote[77].end |
2258.81721875 |
transcript.pyannote[78].speaker |
SPEAKER_05 |
transcript.pyannote[78].start |
2263.54221875 |
transcript.pyannote[78].end |
2270.05596875 |
transcript.pyannote[79].speaker |
SPEAKER_05 |
transcript.pyannote[79].start |
2270.15721875 |
transcript.pyannote[79].end |
2272.11471875 |
transcript.pyannote[80].speaker |
SPEAKER_05 |
transcript.pyannote[80].start |
2272.35096875 |
transcript.pyannote[80].end |
2273.71784375 |
transcript.pyannote[81].speaker |
SPEAKER_06 |
transcript.pyannote[81].start |
2272.43534375 |
transcript.pyannote[81].end |
2273.49846875 |
transcript.pyannote[82].speaker |
SPEAKER_05 |
transcript.pyannote[82].start |
2274.71346875 |
transcript.pyannote[82].end |
2295.28409375 |
transcript.pyannote[83].speaker |
SPEAKER_14 |
transcript.pyannote[83].start |
2283.35346875 |
transcript.pyannote[83].end |
2283.45471875 |
transcript.pyannote[84].speaker |
SPEAKER_14 |
transcript.pyannote[84].start |
2283.65721875 |
transcript.pyannote[84].end |
2285.09159375 |
transcript.pyannote[85].speaker |
SPEAKER_14 |
transcript.pyannote[85].start |
2289.09096875 |
transcript.pyannote[85].end |
2289.37784375 |
transcript.pyannote[86].speaker |
SPEAKER_05 |
transcript.pyannote[86].start |
2295.80721875 |
transcript.pyannote[86].end |
2308.17659375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
2296.07721875 |
transcript.pyannote[87].end |
2296.34721875 |
transcript.pyannote[88].speaker |
SPEAKER_05 |
transcript.pyannote[88].start |
2308.81784375 |
transcript.pyannote[88].end |
2321.03534375 |
transcript.pyannote[89].speaker |
SPEAKER_14 |
transcript.pyannote[89].start |
2322.06471875 |
transcript.pyannote[89].end |
2326.36784375 |
transcript.pyannote[90].speaker |
SPEAKER_05 |
transcript.pyannote[90].start |
2323.78596875 |
transcript.pyannote[90].end |
2333.53971875 |
transcript.pyannote[91].speaker |
SPEAKER_06 |
transcript.pyannote[91].start |
2326.36784375 |
transcript.pyannote[91].end |
2326.82346875 |
transcript.pyannote[92].speaker |
SPEAKER_14 |
transcript.pyannote[92].start |
2326.82346875 |
transcript.pyannote[92].end |
2326.95846875 |
transcript.pyannote[93].speaker |
SPEAKER_06 |
transcript.pyannote[93].start |
2326.95846875 |
transcript.pyannote[93].end |
2326.97534375 |
transcript.pyannote[94].speaker |
SPEAKER_05 |
transcript.pyannote[94].start |
2333.84346875 |
transcript.pyannote[94].end |
2334.63659375 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
2334.11346875 |
transcript.pyannote[95].end |
2339.29409375 |
transcript.pyannote[96].speaker |
SPEAKER_05 |
transcript.pyannote[96].start |
2337.77534375 |
transcript.pyannote[96].end |
2338.12971875 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
2339.76659375 |
transcript.pyannote[97].end |
2352.55784375 |
transcript.pyannote[98].speaker |
SPEAKER_05 |
transcript.pyannote[98].start |
2350.61721875 |
transcript.pyannote[98].end |
2357.50221875 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
2357.14784375 |
transcript.pyannote[99].end |
2371.22159375 |
transcript.pyannote[100].speaker |
SPEAKER_14 |
transcript.pyannote[100].start |
2363.71221875 |
transcript.pyannote[100].end |
2363.76284375 |
transcript.pyannote[101].speaker |
SPEAKER_05 |
transcript.pyannote[101].start |
2363.76284375 |
transcript.pyannote[101].end |
2364.30284375 |
transcript.pyannote[102].speaker |
SPEAKER_14 |
transcript.pyannote[102].start |
2364.30284375 |
transcript.pyannote[102].end |
2366.42909375 |
transcript.pyannote[103].speaker |
SPEAKER_14 |
transcript.pyannote[103].start |
2367.12096875 |
transcript.pyannote[103].end |
2367.67784375 |
transcript.pyannote[104].speaker |
SPEAKER_14 |
transcript.pyannote[104].start |
2373.11159375 |
transcript.pyannote[104].end |
2377.93784375 |
transcript.pyannote[105].speaker |
SPEAKER_14 |
transcript.pyannote[105].start |
2382.78096875 |
transcript.pyannote[105].end |
2391.06659375 |
transcript.pyannote[106].speaker |
SPEAKER_14 |
transcript.pyannote[106].start |
2392.29846875 |
transcript.pyannote[106].end |
2396.85471875 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
2398.49159375 |
transcript.pyannote[107].end |
2400.36471875 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
2400.88784375 |
transcript.pyannote[108].end |
2402.03534375 |
transcript.pyannote[109].speaker |
SPEAKER_03 |
transcript.pyannote[109].start |
2402.20409375 |
transcript.pyannote[109].end |
2409.71346875 |
transcript.pyannote[110].speaker |
SPEAKER_06 |
transcript.pyannote[110].start |
2409.84846875 |
transcript.pyannote[110].end |
2410.20284375 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
2410.20284375 |
transcript.pyannote[111].end |
2413.99971875 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
2414.18534375 |
transcript.pyannote[112].end |
2414.96159375 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
2415.72096875 |
transcript.pyannote[113].end |
2416.48034375 |
transcript.pyannote[114].speaker |
SPEAKER_03 |
transcript.pyannote[114].start |
2418.08346875 |
transcript.pyannote[114].end |
2421.42471875 |
transcript.pyannote[115].speaker |
SPEAKER_11 |
transcript.pyannote[115].start |
2447.09159375 |
transcript.pyannote[115].end |
2448.44159375 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
2448.44159375 |
transcript.pyannote[116].end |
2449.42034375 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
2449.84221875 |
transcript.pyannote[117].end |
2451.25971875 |
transcript.pyannote[118].speaker |
SPEAKER_03 |
transcript.pyannote[118].start |
2451.61409375 |
transcript.pyannote[118].end |
2458.65096875 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
2460.05159375 |
transcript.pyannote[119].end |
2461.40159375 |
transcript.pyannote[120].speaker |
SPEAKER_03 |
transcript.pyannote[120].start |
2461.97534375 |
transcript.pyannote[120].end |
2464.10159375 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
2464.23659375 |
transcript.pyannote[121].end |
2467.32471875 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
2467.57784375 |
transcript.pyannote[122].end |
2469.02909375 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
2469.55221875 |
transcript.pyannote[123].end |
2471.89784375 |
transcript.pyannote[124].speaker |
SPEAKER_06 |
transcript.pyannote[124].start |
2472.37034375 |
transcript.pyannote[124].end |
2473.87221875 |
transcript.pyannote[125].speaker |
SPEAKER_06 |
transcript.pyannote[125].start |
2473.97346875 |
transcript.pyannote[125].end |
2474.00721875 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
2479.20471875 |
transcript.pyannote[126].end |
2485.68471875 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
2486.39346875 |
transcript.pyannote[127].end |
2490.73034375 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
2491.10159375 |
transcript.pyannote[128].end |
2491.18596875 |
transcript.pyannote[129].speaker |
SPEAKER_14 |
transcript.pyannote[129].start |
2491.18596875 |
transcript.pyannote[129].end |
2493.39659375 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
2491.33784375 |
transcript.pyannote[130].end |
2491.82721875 |
transcript.pyannote[131].speaker |
SPEAKER_14 |
transcript.pyannote[131].start |
2494.20659375 |
transcript.pyannote[131].end |
2494.99971875 |
transcript.pyannote[132].speaker |
SPEAKER_11 |
transcript.pyannote[132].start |
2497.29471875 |
transcript.pyannote[132].end |
2519.48534375 |
transcript.pyannote[133].speaker |
SPEAKER_11 |
transcript.pyannote[133].start |
2523.95721875 |
transcript.pyannote[133].end |
2547.91971875 |
transcript.pyannote[134].speaker |
SPEAKER_11 |
transcript.pyannote[134].start |
2548.81409375 |
transcript.pyannote[134].end |
2562.39846875 |
transcript.pyannote[135].speaker |
SPEAKER_14 |
transcript.pyannote[135].start |
2565.25034375 |
transcript.pyannote[135].end |
2568.57471875 |
transcript.pyannote[136].speaker |
SPEAKER_03 |
transcript.pyannote[136].start |
2568.77721875 |
transcript.pyannote[136].end |
2575.37534375 |
transcript.pyannote[137].speaker |
SPEAKER_14 |
transcript.pyannote[137].start |
2573.02971875 |
transcript.pyannote[137].end |
2573.13096875 |
transcript.pyannote[138].speaker |
SPEAKER_14 |
transcript.pyannote[138].start |
2573.14784375 |
transcript.pyannote[138].end |
2578.04159375 |
transcript.pyannote[139].speaker |
SPEAKER_03 |
transcript.pyannote[139].start |
2576.80971875 |
transcript.pyannote[139].end |
2577.87284375 |
transcript.pyannote[140].speaker |
SPEAKER_11 |
transcript.pyannote[140].start |
2578.04159375 |
transcript.pyannote[140].end |
2578.78409375 |
transcript.pyannote[141].speaker |
SPEAKER_14 |
transcript.pyannote[141].start |
2578.78409375 |
transcript.pyannote[141].end |
2580.97784375 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
2579.03721875 |
transcript.pyannote[142].end |
2582.15909375 |
transcript.pyannote[143].speaker |
SPEAKER_06 |
transcript.pyannote[143].start |
2586.14159375 |
transcript.pyannote[143].end |
2586.47909375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
2586.81659375 |
transcript.pyannote[144].end |
2588.03159375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
2598.84846875 |
transcript.pyannote[145].end |
2599.55721875 |
transcript.pyannote[146].speaker |
SPEAKER_06 |
transcript.pyannote[146].start |
2601.71721875 |
transcript.pyannote[146].end |
2601.93659375 |
transcript.pyannote[147].speaker |
SPEAKER_06 |
transcript.pyannote[147].start |
2601.97034375 |
transcript.pyannote[147].end |
2602.03784375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
2608.85534375 |
transcript.pyannote[148].end |
2611.58909375 |
transcript.pyannote[149].speaker |
SPEAKER_14 |
transcript.pyannote[149].start |
2611.63971875 |
transcript.pyannote[149].end |
2613.05721875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
2612.73659375 |
transcript.pyannote[150].end |
2626.67534375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
2627.38409375 |
transcript.pyannote[151].end |
2631.83909375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
2632.51409375 |
transcript.pyannote[152].end |
2640.37784375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
2640.81659375 |
transcript.pyannote[153].end |
2642.74034375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
2642.92596875 |
transcript.pyannote[154].end |
2643.51659375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
2644.27596875 |
transcript.pyannote[155].end |
2646.57096875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
2649.42284375 |
transcript.pyannote[156].end |
2649.94596875 |
transcript.pyannote[157].speaker |
SPEAKER_14 |
transcript.pyannote[157].start |
2653.40534375 |
transcript.pyannote[157].end |
2654.38409375 |
transcript.pyannote[158].speaker |
SPEAKER_14 |
transcript.pyannote[158].start |
2654.62034375 |
transcript.pyannote[158].end |
2655.05909375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
2655.24471875 |
transcript.pyannote[159].end |
2655.91971875 |
transcript.pyannote[160].speaker |
SPEAKER_14 |
transcript.pyannote[160].start |
2655.90284375 |
transcript.pyannote[160].end |
2656.20659375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
2656.61159375 |
transcript.pyannote[161].end |
2656.98284375 |
transcript.pyannote[162].speaker |
SPEAKER_14 |
transcript.pyannote[162].start |
2656.76346875 |
transcript.pyannote[162].end |
2657.72534375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
2658.53534375 |
transcript.pyannote[163].end |
2658.90659375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
2659.26096875 |
transcript.pyannote[164].end |
2659.95284375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
2660.07096875 |
transcript.pyannote[165].end |
2660.83034375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
2661.38721875 |
transcript.pyannote[166].end |
2662.46721875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
2665.58909375 |
transcript.pyannote[167].end |
2667.96846875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
2668.98096875 |
transcript.pyannote[168].end |
2670.92159375 |
transcript.pyannote[169].speaker |
SPEAKER_14 |
transcript.pyannote[169].start |
2672.10284375 |
transcript.pyannote[169].end |
2674.02659375 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
2674.65096875 |
transcript.pyannote[170].end |
2681.85659375 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
2682.85221875 |
transcript.pyannote[171].end |
2683.13909375 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
2684.26971875 |
transcript.pyannote[172].end |
2685.48471875 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
2686.15971875 |
transcript.pyannote[173].end |
2690.95221875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
2688.67409375 |
transcript.pyannote[174].end |
2690.20971875 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
2691.00284375 |
transcript.pyannote[175].end |
2692.53846875 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
2693.34846875 |
transcript.pyannote[176].end |
2694.09096875 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
2695.28909375 |
transcript.pyannote[177].end |
2695.84596875 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
2699.76096875 |
transcript.pyannote[178].end |
2700.04784375 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
2701.07721875 |
transcript.pyannote[179].end |
2708.33346875 |
transcript.pyannote[180].speaker |
SPEAKER_03 |
transcript.pyannote[180].start |
2710.52721875 |
transcript.pyannote[180].end |
2712.40034375 |
transcript.pyannote[181].speaker |
SPEAKER_06 |
transcript.pyannote[181].start |
2711.03346875 |
transcript.pyannote[181].end |
2716.87221875 |
transcript.pyannote[182].speaker |
SPEAKER_03 |
transcript.pyannote[182].start |
2717.24346875 |
transcript.pyannote[182].end |
2724.29721875 |
transcript.pyannote[183].speaker |
SPEAKER_06 |
transcript.pyannote[183].start |
2717.86784375 |
transcript.pyannote[183].end |
2718.76221875 |
transcript.pyannote[184].speaker |
SPEAKER_11 |
transcript.pyannote[184].start |
2718.76221875 |
transcript.pyannote[184].end |
2721.31034375 |
transcript.pyannote[185].speaker |
SPEAKER_08 |
transcript.pyannote[185].start |
2723.21721875 |
transcript.pyannote[185].end |
2726.69346875 |
transcript.pyannote[186].speaker |
SPEAKER_06 |
transcript.pyannote[186].start |
2726.13659375 |
transcript.pyannote[186].end |
2726.18721875 |
transcript.pyannote[187].speaker |
SPEAKER_08 |
transcript.pyannote[187].start |
2726.72721875 |
transcript.pyannote[187].end |
2737.67909375 |
transcript.pyannote[188].speaker |
SPEAKER_14 |
transcript.pyannote[188].start |
2732.41409375 |
transcript.pyannote[188].end |
2734.86096875 |
transcript.pyannote[189].speaker |
SPEAKER_14 |
transcript.pyannote[189].start |
2737.67909375 |
transcript.pyannote[189].end |
2747.56784375 |
transcript.pyannote[190].speaker |
SPEAKER_08 |
transcript.pyannote[190].start |
2741.81346875 |
transcript.pyannote[190].end |
2742.48846875 |
transcript.pyannote[191].speaker |
SPEAKER_05 |
transcript.pyannote[191].start |
2742.48846875 |
transcript.pyannote[191].end |
2742.52221875 |
transcript.pyannote[192].speaker |
SPEAKER_05 |
transcript.pyannote[192].start |
2747.56784375 |
transcript.pyannote[192].end |
2765.67471875 |
transcript.pyannote[193].speaker |
SPEAKER_14 |
transcript.pyannote[193].start |
2747.65221875 |
transcript.pyannote[193].end |
2750.77409375 |
transcript.pyannote[194].speaker |
SPEAKER_14 |
transcript.pyannote[194].start |
2751.36471875 |
transcript.pyannote[194].end |
2751.60096875 |
transcript.pyannote[195].speaker |
SPEAKER_05 |
transcript.pyannote[195].start |
2766.14721875 |
transcript.pyannote[195].end |
2773.94346875 |
transcript.pyannote[196].speaker |
SPEAKER_14 |
transcript.pyannote[196].start |
2774.98971875 |
transcript.pyannote[196].end |
2781.43596875 |
transcript.pyannote[197].speaker |
SPEAKER_14 |
transcript.pyannote[197].start |
2781.92534375 |
transcript.pyannote[197].end |
2799.25596875 |
transcript.pyannote[198].speaker |
SPEAKER_13 |
transcript.pyannote[198].start |
2784.22034375 |
transcript.pyannote[198].end |
2784.64221875 |
transcript.pyannote[199].speaker |
SPEAKER_06 |
transcript.pyannote[199].start |
2799.25596875 |
transcript.pyannote[199].end |
2799.59346875 |
transcript.pyannote[200].speaker |
SPEAKER_14 |
transcript.pyannote[200].start |
2799.88034375 |
transcript.pyannote[200].end |
2800.87596875 |
transcript.pyannote[201].speaker |
SPEAKER_14 |
transcript.pyannote[201].start |
2801.55096875 |
transcript.pyannote[201].end |
2807.40659375 |
transcript.pyannote[202].speaker |
SPEAKER_14 |
transcript.pyannote[202].start |
2807.87909375 |
transcript.pyannote[202].end |
2810.52846875 |
transcript.pyannote[203].speaker |
SPEAKER_14 |
transcript.pyannote[203].start |
2858.75721875 |
transcript.pyannote[203].end |
2864.00534375 |
transcript.pyannote[204].speaker |
SPEAKER_14 |
transcript.pyannote[204].start |
2864.64659375 |
transcript.pyannote[204].end |
2870.41784375 |
transcript.pyannote[205].speaker |
SPEAKER_14 |
transcript.pyannote[205].start |
2870.50221875 |
transcript.pyannote[205].end |
2906.02409375 |
transcript.pyannote[206].speaker |
SPEAKER_14 |
transcript.pyannote[206].start |
2906.66534375 |
transcript.pyannote[206].end |
2911.25534375 |
transcript.pyannote[207].speaker |
SPEAKER_14 |
transcript.pyannote[207].start |
2914.30971875 |
transcript.pyannote[207].end |
2917.48221875 |
transcript.pyannote[208].speaker |
SPEAKER_12 |
transcript.pyannote[208].start |
2921.05971875 |
transcript.pyannote[208].end |
2921.41409375 |
transcript.pyannote[209].speaker |
SPEAKER_06 |
transcript.pyannote[209].start |
2930.62784375 |
transcript.pyannote[209].end |
2930.76284375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
2930.76284375 |
transcript.pyannote[210].end |
2931.38721875 |
transcript.pyannote[211].speaker |
SPEAKER_06 |
transcript.pyannote[211].start |
2931.38721875 |
transcript.pyannote[211].end |
2931.40409375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
2931.40409375 |
transcript.pyannote[212].end |
2931.60659375 |
transcript.pyannote[213].speaker |
SPEAKER_06 |
transcript.pyannote[213].start |
2933.05784375 |
transcript.pyannote[213].end |
2933.10846875 |
transcript.pyannote[214].speaker |
SPEAKER_06 |
transcript.pyannote[214].start |
2933.14221875 |
transcript.pyannote[214].end |
2933.83409375 |
transcript.pyannote[215].speaker |
SPEAKER_06 |
transcript.pyannote[215].start |
2933.91846875 |
transcript.pyannote[215].end |
2934.45846875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
2933.96909375 |
transcript.pyannote[216].end |
2934.17159375 |
transcript.pyannote[217].speaker |
SPEAKER_06 |
transcript.pyannote[217].start |
2934.96471875 |
transcript.pyannote[217].end |
2935.03221875 |
transcript.pyannote[218].speaker |
SPEAKER_08 |
transcript.pyannote[218].start |
2936.70284375 |
transcript.pyannote[218].end |
2938.93034375 |
transcript.pyannote[219].speaker |
SPEAKER_06 |
transcript.pyannote[219].start |
2939.50409375 |
transcript.pyannote[219].end |
2939.82471875 |
transcript.pyannote[220].speaker |
SPEAKER_14 |
transcript.pyannote[220].start |
2973.91221875 |
transcript.pyannote[220].end |
2975.90346875 |
transcript.pyannote[221].speaker |
SPEAKER_14 |
transcript.pyannote[221].start |
3036.29909375 |
transcript.pyannote[221].end |
3038.34096875 |
transcript.pyannote[222].speaker |
SPEAKER_14 |
transcript.pyannote[222].start |
3039.28596875 |
transcript.pyannote[222].end |
3040.45034375 |
transcript.pyannote[223].speaker |
SPEAKER_14 |
transcript.pyannote[223].start |
3070.75784375 |
transcript.pyannote[223].end |
3077.03534375 |
transcript.pyannote[224].speaker |
SPEAKER_06 |
transcript.pyannote[224].start |
3074.84159375 |
transcript.pyannote[224].end |
3075.61784375 |
transcript.pyannote[225].speaker |
SPEAKER_05 |
transcript.pyannote[225].start |
3077.03534375 |
transcript.pyannote[225].end |
3078.53721875 |
transcript.pyannote[226].speaker |
SPEAKER_14 |
transcript.pyannote[226].start |
3078.53721875 |
transcript.pyannote[226].end |
3078.90846875 |
transcript.pyannote[227].speaker |
SPEAKER_14 |
transcript.pyannote[227].start |
3085.59096875 |
transcript.pyannote[227].end |
3086.29971875 |
transcript.pyannote[228].speaker |
SPEAKER_14 |
transcript.pyannote[228].start |
3087.88596875 |
transcript.pyannote[228].end |
3089.74221875 |
transcript.pyannote[229].speaker |
SPEAKER_14 |
transcript.pyannote[229].start |
3090.28221875 |
transcript.pyannote[229].end |
3097.20096875 |
transcript.pyannote[230].speaker |
SPEAKER_14 |
transcript.pyannote[230].start |
3123.59346875 |
transcript.pyannote[230].end |
3130.27596875 |
transcript.pyannote[231].speaker |
SPEAKER_14 |
transcript.pyannote[231].start |
3137.61659375 |
transcript.pyannote[231].end |
3138.44346875 |
transcript.pyannote[232].speaker |
SPEAKER_14 |
transcript.pyannote[232].start |
3138.96659375 |
transcript.pyannote[232].end |
3148.36596875 |
transcript.pyannote[233].speaker |
SPEAKER_14 |
transcript.pyannote[233].start |
3148.99034375 |
transcript.pyannote[233].end |
3201.89346875 |
transcript.pyannote[234].speaker |
SPEAKER_14 |
transcript.pyannote[234].start |
3202.36596875 |
transcript.pyannote[234].end |
3206.36534375 |
transcript.pyannote[235].speaker |
SPEAKER_14 |
transcript.pyannote[235].start |
3208.33971875 |
transcript.pyannote[235].end |
3209.26784375 |
transcript.pyannote[236].speaker |
SPEAKER_14 |
transcript.pyannote[236].start |
3209.63909375 |
transcript.pyannote[236].end |
3212.37284375 |
transcript.pyannote[237].speaker |
SPEAKER_14 |
transcript.pyannote[237].start |
3212.89596875 |
transcript.pyannote[237].end |
3213.46971875 |
transcript.pyannote[238].speaker |
SPEAKER_14 |
transcript.pyannote[238].start |
3214.63409375 |
transcript.pyannote[238].end |
3216.97971875 |
transcript.pyannote[239].speaker |
SPEAKER_14 |
transcript.pyannote[239].start |
3218.41409375 |
transcript.pyannote[239].end |
3219.59534375 |
transcript.pyannote[240].speaker |
SPEAKER_14 |
transcript.pyannote[240].start |
3219.91596875 |
transcript.pyannote[240].end |
3220.42221875 |
transcript.pyannote[241].speaker |
SPEAKER_14 |
transcript.pyannote[241].start |
3221.87346875 |
transcript.pyannote[241].end |
3225.56909375 |
transcript.pyannote[242].speaker |
SPEAKER_14 |
transcript.pyannote[242].start |
3226.54784375 |
transcript.pyannote[242].end |
3229.16346875 |
transcript.pyannote[243].speaker |
SPEAKER_06 |
transcript.pyannote[243].start |
3230.96909375 |
transcript.pyannote[243].end |
3231.07034375 |
transcript.pyannote[244].speaker |
SPEAKER_14 |
transcript.pyannote[244].start |
3232.15034375 |
transcript.pyannote[244].end |
3235.01909375 |
transcript.pyannote[245].speaker |
SPEAKER_14 |
transcript.pyannote[245].start |
3235.66034375 |
transcript.pyannote[245].end |
3236.33534375 |
transcript.pyannote[246].speaker |
SPEAKER_14 |
transcript.pyannote[246].start |
3238.32659375 |
transcript.pyannote[246].end |
3241.17846875 |
transcript.pyannote[247].speaker |
SPEAKER_14 |
transcript.pyannote[247].start |
3241.53284375 |
transcript.pyannote[247].end |
3243.67596875 |
transcript.pyannote[248].speaker |
SPEAKER_14 |
transcript.pyannote[248].start |
3244.62096875 |
transcript.pyannote[248].end |
3246.17346875 |
transcript.pyannote[249].speaker |
SPEAKER_14 |
transcript.pyannote[249].start |
3246.83159375 |
transcript.pyannote[249].end |
3247.30409375 |
transcript.pyannote[250].speaker |
SPEAKER_14 |
transcript.pyannote[250].start |
3248.65409375 |
transcript.pyannote[250].end |
3250.15596875 |
transcript.pyannote[251].speaker |
SPEAKER_14 |
transcript.pyannote[251].start |
3250.83096875 |
transcript.pyannote[251].end |
3251.28659375 |
transcript.pyannote[252].speaker |
SPEAKER_14 |
transcript.pyannote[252].start |
3252.34971875 |
transcript.pyannote[252].end |
3255.45471875 |
transcript.pyannote[253].speaker |
SPEAKER_14 |
transcript.pyannote[253].start |
3256.29846875 |
transcript.pyannote[253].end |
3259.35284375 |
transcript.pyannote[254].speaker |
SPEAKER_14 |
transcript.pyannote[254].start |
3260.36534375 |
transcript.pyannote[254].end |
3263.14971875 |
transcript.pyannote[255].speaker |
SPEAKER_14 |
transcript.pyannote[255].start |
3264.21284375 |
transcript.pyannote[255].end |
3265.14096875 |
transcript.pyannote[256].speaker |
SPEAKER_14 |
transcript.pyannote[256].start |
3265.56284375 |
transcript.pyannote[256].end |
3266.27159375 |
transcript.pyannote[257].speaker |
SPEAKER_14 |
transcript.pyannote[257].start |
3266.72721875 |
transcript.pyannote[257].end |
3268.36409375 |
transcript.pyannote[258].speaker |
SPEAKER_14 |
transcript.pyannote[258].start |
3271.95846875 |
transcript.pyannote[258].end |
3281.15534375 |
transcript.pyannote[259].speaker |
SPEAKER_10 |
transcript.pyannote[259].start |
3283.43346875 |
transcript.pyannote[259].end |
3325.57034375 |
transcript.pyannote[260].speaker |
SPEAKER_10 |
transcript.pyannote[260].start |
3325.84034375 |
transcript.pyannote[260].end |
3355.69221875 |
transcript.pyannote[261].speaker |
SPEAKER_10 |
transcript.pyannote[261].start |
3355.96221875 |
transcript.pyannote[261].end |
3359.03346875 |
transcript.pyannote[262].speaker |
SPEAKER_10 |
transcript.pyannote[262].start |
3359.35409375 |
transcript.pyannote[262].end |
3363.65721875 |
transcript.pyannote[263].speaker |
SPEAKER_10 |
transcript.pyannote[263].start |
3363.82596875 |
transcript.pyannote[263].end |
3420.15471875 |
transcript.pyannote[264].speaker |
SPEAKER_10 |
transcript.pyannote[264].start |
3420.49221875 |
transcript.pyannote[264].end |
3428.54159375 |
transcript.pyannote[265].speaker |
SPEAKER_14 |
transcript.pyannote[265].start |
3428.54159375 |
transcript.pyannote[265].end |
3428.59221875 |
transcript.pyannote[266].speaker |
SPEAKER_14 |
transcript.pyannote[266].start |
3429.67221875 |
transcript.pyannote[266].end |
3441.33284375 |
transcript.pyannote[267].speaker |
SPEAKER_14 |
transcript.pyannote[267].start |
3445.04534375 |
transcript.pyannote[267].end |
3446.04096875 |
transcript.pyannote[268].speaker |
SPEAKER_07 |
transcript.pyannote[268].start |
3446.54721875 |
transcript.pyannote[268].end |
3457.70159375 |
transcript.pyannote[269].speaker |
SPEAKER_07 |
transcript.pyannote[269].start |
3457.71846875 |
transcript.pyannote[269].end |
3468.55221875 |
transcript.pyannote[270].speaker |
SPEAKER_07 |
transcript.pyannote[270].start |
3468.70409375 |
transcript.pyannote[270].end |
3471.13409375 |
transcript.pyannote[271].speaker |
SPEAKER_07 |
transcript.pyannote[271].start |
3471.45471875 |
transcript.pyannote[271].end |
3475.20096875 |
transcript.pyannote[272].speaker |
SPEAKER_07 |
transcript.pyannote[272].start |
3475.60596875 |
transcript.pyannote[272].end |
3494.72534375 |
transcript.pyannote[273].speaker |
SPEAKER_07 |
transcript.pyannote[273].start |
3494.91096875 |
transcript.pyannote[273].end |
3495.73784375 |
transcript.pyannote[274].speaker |
SPEAKER_07 |
transcript.pyannote[274].start |
3495.80534375 |
transcript.pyannote[274].end |
3499.87221875 |
transcript.pyannote[275].speaker |
SPEAKER_07 |
transcript.pyannote[275].start |
3500.07471875 |
transcript.pyannote[275].end |
3505.18784375 |
transcript.pyannote[276].speaker |
SPEAKER_07 |
transcript.pyannote[276].start |
3505.67721875 |
transcript.pyannote[276].end |
3539.56221875 |
transcript.pyannote[277].speaker |
SPEAKER_07 |
transcript.pyannote[277].start |
3539.61284375 |
transcript.pyannote[277].end |
3543.10596875 |
transcript.pyannote[278].speaker |
SPEAKER_07 |
transcript.pyannote[278].start |
3543.57846875 |
transcript.pyannote[278].end |
3557.51721875 |
transcript.pyannote[279].speaker |
SPEAKER_07 |
transcript.pyannote[279].start |
3557.95596875 |
transcript.pyannote[279].end |
3564.68909375 |
transcript.pyannote[280].speaker |
SPEAKER_07 |
transcript.pyannote[280].start |
3565.19534375 |
transcript.pyannote[280].end |
3577.07534375 |
transcript.pyannote[281].speaker |
SPEAKER_07 |
transcript.pyannote[281].start |
3577.41284375 |
transcript.pyannote[281].end |
3612.02346875 |
transcript.pyannote[282].speaker |
SPEAKER_07 |
transcript.pyannote[282].start |
3612.66471875 |
transcript.pyannote[282].end |
3634.04534375 |
transcript.pyannote[283].speaker |
SPEAKER_07 |
transcript.pyannote[283].start |
3634.26471875 |
transcript.pyannote[283].end |
3636.39096875 |
transcript.pyannote[284].speaker |
SPEAKER_07 |
transcript.pyannote[284].start |
3636.69471875 |
transcript.pyannote[284].end |
3639.83346875 |
transcript.pyannote[285].speaker |
SPEAKER_07 |
transcript.pyannote[285].start |
3640.59284375 |
transcript.pyannote[285].end |
3641.11596875 |
transcript.pyannote[286].speaker |
SPEAKER_07 |
transcript.pyannote[286].start |
3641.26784375 |
transcript.pyannote[286].end |
3648.22034375 |
transcript.pyannote[287].speaker |
SPEAKER_07 |
transcript.pyannote[287].start |
3648.52409375 |
transcript.pyannote[287].end |
3651.81471875 |
transcript.pyannote[288].speaker |
SPEAKER_07 |
transcript.pyannote[288].start |
3652.32096875 |
transcript.pyannote[288].end |
3673.51596875 |
transcript.pyannote[289].speaker |
SPEAKER_07 |
transcript.pyannote[289].start |
3674.35971875 |
transcript.pyannote[289].end |
3683.50596875 |
transcript.pyannote[290].speaker |
SPEAKER_07 |
transcript.pyannote[290].start |
3683.59034375 |
transcript.pyannote[290].end |
3693.05721875 |
transcript.pyannote[291].speaker |
SPEAKER_07 |
transcript.pyannote[291].start |
3693.44534375 |
transcript.pyannote[291].end |
3705.88221875 |
transcript.pyannote[292].speaker |
SPEAKER_07 |
transcript.pyannote[292].start |
3706.27034375 |
transcript.pyannote[292].end |
3725.71034375 |
transcript.pyannote[293].speaker |
SPEAKER_07 |
transcript.pyannote[293].start |
3726.25034375 |
transcript.pyannote[293].end |
3752.99721875 |
transcript.pyannote[294].speaker |
SPEAKER_07 |
transcript.pyannote[294].start |
3753.46971875 |
transcript.pyannote[294].end |
3761.13096875 |
transcript.pyannote[295].speaker |
SPEAKER_07 |
transcript.pyannote[295].start |
3761.56971875 |
transcript.pyannote[295].end |
3765.72096875 |
transcript.pyannote[296].speaker |
SPEAKER_07 |
transcript.pyannote[296].start |
3766.09221875 |
transcript.pyannote[296].end |
3768.33659375 |
transcript.pyannote[297].speaker |
SPEAKER_07 |
transcript.pyannote[297].start |
3769.55159375 |
transcript.pyannote[297].end |
3774.69846875 |
transcript.pyannote[298].speaker |
SPEAKER_07 |
transcript.pyannote[298].start |
3774.83346875 |
transcript.pyannote[298].end |
3781.71846875 |
transcript.pyannote[299].speaker |
SPEAKER_07 |
transcript.pyannote[299].start |
3782.08971875 |
transcript.pyannote[299].end |
3783.81096875 |
transcript.pyannote[300].speaker |
SPEAKER_07 |
transcript.pyannote[300].start |
3784.26659375 |
transcript.pyannote[300].end |
3794.20596875 |
transcript.pyannote[301].speaker |
SPEAKER_07 |
transcript.pyannote[301].start |
3795.08346875 |
transcript.pyannote[301].end |
3805.81596875 |
transcript.pyannote[302].speaker |
SPEAKER_07 |
transcript.pyannote[302].start |
3806.13659375 |
transcript.pyannote[302].end |
3807.46971875 |
transcript.pyannote[303].speaker |
SPEAKER_07 |
transcript.pyannote[303].start |
3807.57096875 |
transcript.pyannote[303].end |
3809.05596875 |
transcript.pyannote[304].speaker |
SPEAKER_07 |
transcript.pyannote[304].start |
3809.34284375 |
transcript.pyannote[304].end |
3829.55909375 |
transcript.pyannote[305].speaker |
SPEAKER_07 |
transcript.pyannote[305].start |
3830.18346875 |
transcript.pyannote[305].end |
3837.96284375 |
transcript.pyannote[306].speaker |
SPEAKER_07 |
transcript.pyannote[306].start |
3838.19909375 |
transcript.pyannote[306].end |
3842.78909375 |
transcript.pyannote[307].speaker |
SPEAKER_07 |
transcript.pyannote[307].start |
3843.61596875 |
transcript.pyannote[307].end |
3845.06721875 |
transcript.pyannote[308].speaker |
SPEAKER_07 |
transcript.pyannote[308].start |
3845.42159375 |
transcript.pyannote[308].end |
3855.51284375 |
transcript.pyannote[309].speaker |
SPEAKER_07 |
transcript.pyannote[309].start |
3855.66471875 |
transcript.pyannote[309].end |
3863.51159375 |
transcript.pyannote[310].speaker |
SPEAKER_07 |
transcript.pyannote[310].start |
3863.88284375 |
transcript.pyannote[310].end |
3864.43971875 |
transcript.pyannote[311].speaker |
SPEAKER_07 |
transcript.pyannote[311].start |
3865.24971875 |
transcript.pyannote[311].end |
3866.73471875 |
transcript.pyannote[312].speaker |
SPEAKER_07 |
transcript.pyannote[312].start |
3867.03846875 |
transcript.pyannote[312].end |
3867.94971875 |
transcript.pyannote[313].speaker |
SPEAKER_07 |
transcript.pyannote[313].start |
3868.11846875 |
transcript.pyannote[313].end |
3869.16471875 |
transcript.pyannote[314].speaker |
SPEAKER_07 |
transcript.pyannote[314].start |
3869.46846875 |
transcript.pyannote[314].end |
3882.81659375 |
transcript.pyannote[315].speaker |
SPEAKER_07 |
transcript.pyannote[315].start |
3883.27221875 |
transcript.pyannote[315].end |
3893.80221875 |
transcript.pyannote[316].speaker |
SPEAKER_07 |
transcript.pyannote[316].start |
3893.97096875 |
transcript.pyannote[316].end |
3899.77596875 |
transcript.pyannote[317].speaker |
SPEAKER_07 |
transcript.pyannote[317].start |
3900.24846875 |
transcript.pyannote[317].end |
3901.12596875 |
transcript.pyannote[318].speaker |
SPEAKER_07 |
transcript.pyannote[318].start |
3901.48034375 |
transcript.pyannote[318].end |
3904.87221875 |
transcript.pyannote[319].speaker |
SPEAKER_07 |
transcript.pyannote[319].start |
3905.19284375 |
transcript.pyannote[319].end |
3907.36971875 |
transcript.pyannote[320].speaker |
SPEAKER_07 |
transcript.pyannote[320].start |
3907.87596875 |
transcript.pyannote[320].end |
3918.99659375 |
transcript.pyannote[321].speaker |
SPEAKER_07 |
transcript.pyannote[321].start |
3919.31721875 |
transcript.pyannote[321].end |
3929.18909375 |
transcript.pyannote[322].speaker |
SPEAKER_07 |
transcript.pyannote[322].start |
3929.79659375 |
transcript.pyannote[322].end |
3931.41659375 |
transcript.pyannote[323].speaker |
SPEAKER_07 |
transcript.pyannote[323].start |
3932.12534375 |
transcript.pyannote[323].end |
3936.20909375 |
transcript.pyannote[324].speaker |
SPEAKER_07 |
transcript.pyannote[324].start |
3936.46221875 |
transcript.pyannote[324].end |
3937.45784375 |
transcript.pyannote[325].speaker |
SPEAKER_07 |
transcript.pyannote[325].start |
3938.06534375 |
transcript.pyannote[325].end |
3942.08159375 |
transcript.pyannote[326].speaker |
SPEAKER_07 |
transcript.pyannote[326].start |
3942.26721875 |
transcript.pyannote[326].end |
3952.94909375 |
transcript.pyannote[327].speaker |
SPEAKER_07 |
transcript.pyannote[327].start |
3953.45534375 |
transcript.pyannote[327].end |
3955.69971875 |
transcript.pyannote[328].speaker |
SPEAKER_07 |
transcript.pyannote[328].start |
3955.80096875 |
transcript.pyannote[328].end |
3957.21846875 |
transcript.pyannote[329].speaker |
SPEAKER_07 |
transcript.pyannote[329].start |
3957.82596875 |
transcript.pyannote[329].end |
3961.63971875 |
transcript.pyannote[330].speaker |
SPEAKER_07 |
transcript.pyannote[330].start |
3961.84221875 |
transcript.pyannote[330].end |
3962.73659375 |
transcript.pyannote[331].speaker |
SPEAKER_07 |
transcript.pyannote[331].start |
3963.42846875 |
transcript.pyannote[331].end |
3989.36534375 |
transcript.pyannote[332].speaker |
SPEAKER_07 |
transcript.pyannote[332].start |
3989.65221875 |
transcript.pyannote[332].end |
3992.60534375 |
transcript.pyannote[333].speaker |
SPEAKER_07 |
transcript.pyannote[333].start |
3992.95971875 |
transcript.pyannote[333].end |
3995.33909375 |
transcript.pyannote[334].speaker |
SPEAKER_07 |
transcript.pyannote[334].start |
3996.28409375 |
transcript.pyannote[334].end |
3999.81096875 |
transcript.pyannote[335].speaker |
SPEAKER_07 |
transcript.pyannote[335].start |
3999.96284375 |
transcript.pyannote[335].end |
4002.02159375 |
transcript.pyannote[336].speaker |
SPEAKER_07 |
transcript.pyannote[336].start |
4002.29159375 |
transcript.pyannote[336].end |
4003.96221875 |
transcript.pyannote[337].speaker |
SPEAKER_07 |
transcript.pyannote[337].start |
4004.89034375 |
transcript.pyannote[337].end |
4006.35846875 |
transcript.pyannote[338].speaker |
SPEAKER_07 |
transcript.pyannote[338].start |
4006.79721875 |
transcript.pyannote[338].end |
4012.58534375 |
transcript.pyannote[339].speaker |
SPEAKER_07 |
transcript.pyannote[339].start |
4013.05784375 |
transcript.pyannote[339].end |
4015.23471875 |
transcript.pyannote[340].speaker |
SPEAKER_07 |
transcript.pyannote[340].start |
4015.48784375 |
transcript.pyannote[340].end |
4016.06159375 |
transcript.pyannote[341].speaker |
SPEAKER_07 |
transcript.pyannote[341].start |
4016.21346875 |
transcript.pyannote[341].end |
4019.63909375 |
transcript.pyannote[342].speaker |
SPEAKER_07 |
transcript.pyannote[342].start |
4019.70659375 |
transcript.pyannote[342].end |
4020.97221875 |
transcript.pyannote[343].speaker |
SPEAKER_07 |
transcript.pyannote[343].start |
4021.46159375 |
transcript.pyannote[343].end |
4022.30534375 |
transcript.pyannote[344].speaker |
SPEAKER_07 |
transcript.pyannote[344].start |
4022.40659375 |
transcript.pyannote[344].end |
4027.50284375 |
transcript.pyannote[345].speaker |
SPEAKER_14 |
transcript.pyannote[345].start |
4027.23284375 |
transcript.pyannote[345].end |
4033.00409375 |
transcript.pyannote[346].speaker |
SPEAKER_02 |
transcript.pyannote[346].start |
4036.32846875 |
transcript.pyannote[346].end |
4044.00659375 |
transcript.pyannote[347].speaker |
SPEAKER_02 |
transcript.pyannote[347].start |
4044.07409375 |
transcript.pyannote[347].end |
4046.75721875 |
transcript.pyannote[348].speaker |
SPEAKER_02 |
transcript.pyannote[348].start |
4047.58409375 |
transcript.pyannote[348].end |
4048.25909375 |
transcript.pyannote[349].speaker |
SPEAKER_02 |
transcript.pyannote[349].start |
4048.90034375 |
transcript.pyannote[349].end |
4053.76034375 |
transcript.pyannote[350].speaker |
SPEAKER_02 |
transcript.pyannote[350].start |
4053.96284375 |
transcript.pyannote[350].end |
4054.68846875 |
transcript.pyannote[351].speaker |
SPEAKER_02 |
transcript.pyannote[351].start |
4055.97096875 |
transcript.pyannote[351].end |
4058.36721875 |
transcript.pyannote[352].speaker |
SPEAKER_02 |
transcript.pyannote[352].start |
4058.67096875 |
transcript.pyannote[352].end |
4059.32909375 |
transcript.pyannote[353].speaker |
SPEAKER_02 |
transcript.pyannote[353].start |
4059.97034375 |
transcript.pyannote[353].end |
4061.50596875 |
transcript.pyannote[354].speaker |
SPEAKER_02 |
transcript.pyannote[354].start |
4062.11346875 |
transcript.pyannote[354].end |
4062.63659375 |
transcript.pyannote[355].speaker |
SPEAKER_02 |
transcript.pyannote[355].start |
4063.22721875 |
transcript.pyannote[355].end |
4064.94846875 |
transcript.pyannote[356].speaker |
SPEAKER_02 |
transcript.pyannote[356].start |
4065.57284375 |
transcript.pyannote[356].end |
4067.44596875 |
transcript.pyannote[357].speaker |
SPEAKER_02 |
transcript.pyannote[357].start |
4067.63159375 |
transcript.pyannote[357].end |
4069.75784375 |
transcript.pyannote[358].speaker |
SPEAKER_02 |
transcript.pyannote[358].start |
4070.71971875 |
transcript.pyannote[358].end |
4072.94721875 |
transcript.pyannote[359].speaker |
SPEAKER_02 |
transcript.pyannote[359].start |
4073.87534375 |
transcript.pyannote[359].end |
4075.19159375 |
transcript.pyannote[360].speaker |
SPEAKER_02 |
transcript.pyannote[360].start |
4076.11971875 |
transcript.pyannote[360].end |
4078.90409375 |
transcript.pyannote[361].speaker |
SPEAKER_02 |
transcript.pyannote[361].start |
4079.83221875 |
transcript.pyannote[361].end |
4081.70534375 |
transcript.pyannote[362].speaker |
SPEAKER_02 |
transcript.pyannote[362].start |
4082.92034375 |
transcript.pyannote[362].end |
4087.66221875 |
transcript.pyannote[363].speaker |
SPEAKER_02 |
transcript.pyannote[363].start |
4087.83096875 |
transcript.pyannote[363].end |
4091.13846875 |
transcript.pyannote[364].speaker |
SPEAKER_02 |
transcript.pyannote[364].start |
4091.91471875 |
transcript.pyannote[364].end |
4092.82596875 |
transcript.pyannote[365].speaker |
SPEAKER_02 |
transcript.pyannote[365].start |
4093.07909375 |
transcript.pyannote[365].end |
4094.63159375 |
transcript.pyannote[366].speaker |
SPEAKER_02 |
transcript.pyannote[366].start |
4096.01534375 |
transcript.pyannote[366].end |
4098.42846875 |
transcript.pyannote[367].speaker |
SPEAKER_02 |
transcript.pyannote[367].start |
4100.26784375 |
transcript.pyannote[367].end |
4102.95096875 |
transcript.pyannote[368].speaker |
SPEAKER_02 |
transcript.pyannote[368].start |
4103.82846875 |
transcript.pyannote[368].end |
4107.08534375 |
transcript.pyannote[369].speaker |
SPEAKER_02 |
transcript.pyannote[369].start |
4107.81096875 |
transcript.pyannote[369].end |
4110.19034375 |
transcript.pyannote[370].speaker |
SPEAKER_02 |
transcript.pyannote[370].start |
4110.79784375 |
transcript.pyannote[370].end |
4114.56096875 |
transcript.pyannote[371].speaker |
SPEAKER_02 |
transcript.pyannote[371].start |
4114.96596875 |
transcript.pyannote[371].end |
4120.85534375 |
transcript.pyannote[372].speaker |
SPEAKER_02 |
transcript.pyannote[372].start |
4121.53034375 |
transcript.pyannote[372].end |
4123.47096875 |
transcript.pyannote[373].speaker |
SPEAKER_02 |
transcript.pyannote[373].start |
4124.17971875 |
transcript.pyannote[373].end |
4129.56284375 |
transcript.pyannote[374].speaker |
SPEAKER_02 |
transcript.pyannote[374].start |
4131.19971875 |
transcript.pyannote[374].end |
4133.29221875 |
transcript.pyannote[375].speaker |
SPEAKER_02 |
transcript.pyannote[375].start |
4133.42721875 |
transcript.pyannote[375].end |
4137.12284375 |
transcript.pyannote[376].speaker |
SPEAKER_02 |
transcript.pyannote[376].start |
4137.94971875 |
transcript.pyannote[376].end |
4142.15159375 |
transcript.pyannote[377].speaker |
SPEAKER_02 |
transcript.pyannote[377].start |
4142.89409375 |
transcript.pyannote[377].end |
4144.66596875 |
transcript.pyannote[378].speaker |
SPEAKER_02 |
transcript.pyannote[378].start |
4145.32409375 |
transcript.pyannote[378].end |
4150.87596875 |
transcript.pyannote[379].speaker |
SPEAKER_02 |
transcript.pyannote[379].start |
4151.51721875 |
transcript.pyannote[379].end |
4152.32721875 |
transcript.pyannote[380].speaker |
SPEAKER_02 |
transcript.pyannote[380].start |
4153.30596875 |
transcript.pyannote[380].end |
4155.98909375 |
transcript.pyannote[381].speaker |
SPEAKER_02 |
transcript.pyannote[381].start |
4156.68096875 |
transcript.pyannote[381].end |
4157.60909375 |
transcript.pyannote[382].speaker |
SPEAKER_02 |
transcript.pyannote[382].start |
4157.91284375 |
transcript.pyannote[382].end |
4159.33034375 |
transcript.pyannote[383].speaker |
SPEAKER_02 |
transcript.pyannote[383].start |
4160.46096875 |
transcript.pyannote[383].end |
4161.28784375 |
transcript.pyannote[384].speaker |
SPEAKER_02 |
transcript.pyannote[384].start |
4162.28346875 |
transcript.pyannote[384].end |
4163.51534375 |
transcript.pyannote[385].speaker |
SPEAKER_02 |
transcript.pyannote[385].start |
4164.29159375 |
transcript.pyannote[385].end |
4167.10971875 |
transcript.pyannote[386].speaker |
SPEAKER_02 |
transcript.pyannote[386].start |
4168.18971875 |
transcript.pyannote[386].end |
4170.63659375 |
transcript.pyannote[387].speaker |
SPEAKER_02 |
transcript.pyannote[387].start |
4172.05409375 |
transcript.pyannote[387].end |
4182.38159375 |
transcript.pyannote[388].speaker |
SPEAKER_02 |
transcript.pyannote[388].start |
4183.15784375 |
transcript.pyannote[388].end |
4185.52034375 |
transcript.pyannote[389].speaker |
SPEAKER_02 |
transcript.pyannote[389].start |
4186.43159375 |
transcript.pyannote[389].end |
4192.08471875 |
transcript.pyannote[390].speaker |
SPEAKER_02 |
transcript.pyannote[390].start |
4193.06346875 |
transcript.pyannote[390].end |
4194.31221875 |
transcript.pyannote[391].speaker |
SPEAKER_02 |
transcript.pyannote[391].start |
4194.90284375 |
transcript.pyannote[391].end |
4202.02409375 |
transcript.pyannote[392].speaker |
SPEAKER_02 |
transcript.pyannote[392].start |
4202.49659375 |
transcript.pyannote[392].end |
4207.66034375 |
transcript.pyannote[393].speaker |
SPEAKER_02 |
transcript.pyannote[393].start |
4208.45346875 |
transcript.pyannote[393].end |
4212.94221875 |
transcript.pyannote[394].speaker |
SPEAKER_02 |
transcript.pyannote[394].start |
4213.65096875 |
transcript.pyannote[394].end |
4218.03846875 |
transcript.pyannote[395].speaker |
SPEAKER_02 |
transcript.pyannote[395].start |
4218.62909375 |
transcript.pyannote[395].end |
4220.87346875 |
transcript.pyannote[396].speaker |
SPEAKER_02 |
transcript.pyannote[396].start |
4221.49784375 |
transcript.pyannote[396].end |
4230.17159375 |
transcript.pyannote[397].speaker |
SPEAKER_02 |
transcript.pyannote[397].start |
4230.54284375 |
transcript.pyannote[397].end |
4231.45409375 |
transcript.pyannote[398].speaker |
SPEAKER_02 |
transcript.pyannote[398].start |
4232.87159375 |
transcript.pyannote[398].end |
4233.69846875 |
transcript.pyannote[399].speaker |
SPEAKER_02 |
transcript.pyannote[399].start |
4234.03596875 |
transcript.pyannote[399].end |
4236.22971875 |
transcript.pyannote[400].speaker |
SPEAKER_02 |
transcript.pyannote[400].start |
4237.64721875 |
transcript.pyannote[400].end |
4240.26284375 |
transcript.pyannote[401].speaker |
SPEAKER_02 |
transcript.pyannote[401].start |
4240.97159375 |
transcript.pyannote[401].end |
4242.82784375 |
transcript.pyannote[402].speaker |
SPEAKER_02 |
transcript.pyannote[402].start |
4243.48596875 |
transcript.pyannote[402].end |
4244.32971875 |
transcript.pyannote[403].speaker |
SPEAKER_02 |
transcript.pyannote[403].start |
4245.34221875 |
transcript.pyannote[403].end |
4246.30409375 |
transcript.pyannote[404].speaker |
SPEAKER_02 |
transcript.pyannote[404].start |
4246.96221875 |
transcript.pyannote[404].end |
4249.86471875 |
transcript.pyannote[405].speaker |
SPEAKER_02 |
transcript.pyannote[405].start |
4250.50596875 |
transcript.pyannote[405].end |
4250.92784375 |
transcript.pyannote[406].speaker |
SPEAKER_02 |
transcript.pyannote[406].start |
4251.46784375 |
transcript.pyannote[406].end |
4252.37909375 |
transcript.pyannote[407].speaker |
SPEAKER_02 |
transcript.pyannote[407].start |
4252.75034375 |
transcript.pyannote[407].end |
4253.42534375 |
transcript.pyannote[408].speaker |
SPEAKER_02 |
transcript.pyannote[408].start |
4253.96534375 |
transcript.pyannote[408].end |
4255.92284375 |
transcript.pyannote[409].speaker |
SPEAKER_02 |
transcript.pyannote[409].start |
4256.56409375 |
transcript.pyannote[409].end |
4258.06596875 |
transcript.pyannote[410].speaker |
SPEAKER_02 |
transcript.pyannote[410].start |
4258.69034375 |
transcript.pyannote[410].end |
4259.77034375 |
transcript.pyannote[411].speaker |
SPEAKER_02 |
transcript.pyannote[411].start |
4261.47471875 |
transcript.pyannote[411].end |
4270.87409375 |
transcript.pyannote[412].speaker |
SPEAKER_02 |
transcript.pyannote[412].start |
4271.98784375 |
transcript.pyannote[412].end |
4277.16846875 |
transcript.pyannote[413].speaker |
SPEAKER_02 |
transcript.pyannote[413].start |
4277.82659375 |
transcript.pyannote[413].end |
4279.53096875 |
transcript.pyannote[414].speaker |
SPEAKER_02 |
transcript.pyannote[414].start |
4279.95284375 |
transcript.pyannote[414].end |
4284.59346875 |
transcript.pyannote[415].speaker |
SPEAKER_02 |
transcript.pyannote[415].start |
4286.58471875 |
transcript.pyannote[415].end |
4289.62221875 |
transcript.pyannote[416].speaker |
SPEAKER_02 |
transcript.pyannote[416].start |
4291.02284375 |
transcript.pyannote[416].end |
4292.69346875 |
transcript.pyannote[417].speaker |
SPEAKER_02 |
transcript.pyannote[417].start |
4293.87471875 |
transcript.pyannote[417].end |
4299.07221875 |
transcript.pyannote[418].speaker |
SPEAKER_02 |
transcript.pyannote[418].start |
4299.57846875 |
transcript.pyannote[418].end |
4303.02096875 |
transcript.pyannote[419].speaker |
SPEAKER_02 |
transcript.pyannote[419].start |
4303.52721875 |
transcript.pyannote[419].end |
4306.39596875 |
transcript.pyannote[420].speaker |
SPEAKER_02 |
transcript.pyannote[420].start |
4306.86846875 |
transcript.pyannote[420].end |
4309.90596875 |
transcript.pyannote[421].speaker |
SPEAKER_02 |
transcript.pyannote[421].start |
4310.02409375 |
transcript.pyannote[421].end |
4313.44971875 |
transcript.pyannote[422].speaker |
SPEAKER_02 |
transcript.pyannote[422].start |
4313.83784375 |
transcript.pyannote[422].end |
4315.64346875 |
transcript.pyannote[423].speaker |
SPEAKER_02 |
transcript.pyannote[423].start |
4316.16659375 |
transcript.pyannote[423].end |
4321.93784375 |
transcript.pyannote[424].speaker |
SPEAKER_02 |
transcript.pyannote[424].start |
4322.37659375 |
transcript.pyannote[424].end |
4325.66721875 |
transcript.pyannote[425].speaker |
SPEAKER_02 |
transcript.pyannote[425].start |
4326.96659375 |
transcript.pyannote[425].end |
4328.60346875 |
transcript.pyannote[426].speaker |
SPEAKER_02 |
transcript.pyannote[426].start |
4328.94096875 |
transcript.pyannote[426].end |
4333.73346875 |
transcript.pyannote[427].speaker |
SPEAKER_02 |
transcript.pyannote[427].start |
4334.74596875 |
transcript.pyannote[427].end |
4336.45034375 |
transcript.pyannote[428].speaker |
SPEAKER_02 |
transcript.pyannote[428].start |
4337.00721875 |
transcript.pyannote[428].end |
4339.31909375 |
transcript.pyannote[429].speaker |
SPEAKER_02 |
transcript.pyannote[429].start |
4339.84221875 |
transcript.pyannote[429].end |
4344.31409375 |
transcript.pyannote[430].speaker |
SPEAKER_02 |
transcript.pyannote[430].start |
4345.05659375 |
transcript.pyannote[430].end |
4345.34346875 |
transcript.pyannote[431].speaker |
SPEAKER_02 |
transcript.pyannote[431].start |
4345.74846875 |
transcript.pyannote[431].end |
4349.29221875 |
transcript.pyannote[432].speaker |
SPEAKER_02 |
transcript.pyannote[432].start |
4350.06846875 |
transcript.pyannote[432].end |
4350.67596875 |
transcript.pyannote[433].speaker |
SPEAKER_02 |
transcript.pyannote[433].start |
4351.41846875 |
transcript.pyannote[433].end |
4356.02534375 |
transcript.pyannote[434].speaker |
SPEAKER_02 |
transcript.pyannote[434].start |
4356.61596875 |
transcript.pyannote[434].end |
4359.77159375 |
transcript.pyannote[435].speaker |
SPEAKER_02 |
transcript.pyannote[435].start |
4360.53096875 |
transcript.pyannote[435].end |
4365.72846875 |
transcript.pyannote[436].speaker |
SPEAKER_02 |
transcript.pyannote[436].start |
4366.82534375 |
transcript.pyannote[436].end |
4368.00659375 |
transcript.pyannote[437].speaker |
SPEAKER_02 |
transcript.pyannote[437].start |
4369.87971875 |
transcript.pyannote[437].end |
4371.58409375 |
transcript.pyannote[438].speaker |
SPEAKER_02 |
transcript.pyannote[438].start |
4372.52909375 |
transcript.pyannote[438].end |
4374.92534375 |
transcript.pyannote[439].speaker |
SPEAKER_02 |
transcript.pyannote[439].start |
4375.73534375 |
transcript.pyannote[439].end |
4378.40159375 |
transcript.pyannote[440].speaker |
SPEAKER_02 |
transcript.pyannote[440].start |
4378.82346875 |
transcript.pyannote[440].end |
4386.75471875 |
transcript.pyannote[441].speaker |
SPEAKER_02 |
transcript.pyannote[441].start |
4387.37909375 |
transcript.pyannote[441].end |
4394.06159375 |
transcript.pyannote[442].speaker |
SPEAKER_02 |
transcript.pyannote[442].start |
4394.48346875 |
transcript.pyannote[442].end |
4397.60534375 |
transcript.pyannote[443].speaker |
SPEAKER_02 |
transcript.pyannote[443].start |
4397.99346875 |
transcript.pyannote[443].end |
4401.65534375 |
transcript.pyannote[444].speaker |
SPEAKER_02 |
transcript.pyannote[444].start |
4402.17846875 |
transcript.pyannote[444].end |
4403.39346875 |
transcript.pyannote[445].speaker |
SPEAKER_02 |
transcript.pyannote[445].start |
4404.20346875 |
transcript.pyannote[445].end |
4405.60409375 |
transcript.pyannote[446].speaker |
SPEAKER_02 |
transcript.pyannote[446].start |
4406.17784375 |
transcript.pyannote[446].end |
4409.24909375 |
transcript.pyannote[447].speaker |
SPEAKER_02 |
transcript.pyannote[447].start |
4409.53596875 |
transcript.pyannote[447].end |
4411.47659375 |
transcript.pyannote[448].speaker |
SPEAKER_02 |
transcript.pyannote[448].start |
4413.18096875 |
transcript.pyannote[448].end |
4413.92346875 |
transcript.pyannote[449].speaker |
SPEAKER_02 |
transcript.pyannote[449].start |
4414.34534375 |
transcript.pyannote[449].end |
4418.81721875 |
transcript.pyannote[450].speaker |
SPEAKER_02 |
transcript.pyannote[450].start |
4419.37409375 |
transcript.pyannote[450].end |
4421.07846875 |
transcript.pyannote[451].speaker |
SPEAKER_02 |
transcript.pyannote[451].start |
4421.46659375 |
transcript.pyannote[451].end |
4423.27221875 |
transcript.pyannote[452].speaker |
SPEAKER_02 |
transcript.pyannote[452].start |
4423.52534375 |
transcript.pyannote[452].end |
4425.04409375 |
transcript.pyannote[453].speaker |
SPEAKER_02 |
transcript.pyannote[453].start |
4425.48284375 |
transcript.pyannote[453].end |
4428.21659375 |
transcript.pyannote[454].speaker |
SPEAKER_02 |
transcript.pyannote[454].start |
4429.24596875 |
transcript.pyannote[454].end |
4433.29596875 |
transcript.pyannote[455].speaker |
SPEAKER_02 |
transcript.pyannote[455].start |
4433.49846875 |
transcript.pyannote[455].end |
4441.66596875 |
transcript.pyannote[456].speaker |
SPEAKER_02 |
transcript.pyannote[456].start |
4442.12159375 |
transcript.pyannote[456].end |
4446.77909375 |
transcript.pyannote[457].speaker |
SPEAKER_02 |
transcript.pyannote[457].start |
4448.04471875 |
transcript.pyannote[457].end |
4453.20846875 |
transcript.pyannote[458].speaker |
SPEAKER_02 |
transcript.pyannote[458].start |
4453.69784375 |
transcript.pyannote[458].end |
4457.12346875 |
transcript.pyannote[459].speaker |
SPEAKER_02 |
transcript.pyannote[459].start |
4459.30034375 |
transcript.pyannote[459].end |
4465.86471875 |
transcript.pyannote[460].speaker |
SPEAKER_02 |
transcript.pyannote[460].start |
4466.59034375 |
transcript.pyannote[460].end |
4467.94034375 |
transcript.pyannote[461].speaker |
SPEAKER_02 |
transcript.pyannote[461].start |
4468.56471875 |
transcript.pyannote[461].end |
4470.79221875 |
transcript.pyannote[462].speaker |
SPEAKER_02 |
transcript.pyannote[462].start |
4472.14221875 |
transcript.pyannote[462].end |
4475.85471875 |
transcript.pyannote[463].speaker |
SPEAKER_02 |
transcript.pyannote[463].start |
4476.69846875 |
transcript.pyannote[463].end |
4486.95846875 |
transcript.pyannote[464].speaker |
SPEAKER_02 |
transcript.pyannote[464].start |
4487.56596875 |
transcript.pyannote[464].end |
4496.29034375 |
transcript.pyannote[465].speaker |
SPEAKER_02 |
transcript.pyannote[465].start |
4496.50971875 |
transcript.pyannote[465].end |
4500.13784375 |
transcript.pyannote[466].speaker |
SPEAKER_02 |
transcript.pyannote[466].start |
4500.84659375 |
transcript.pyannote[466].end |
4503.20909375 |
transcript.pyannote[467].speaker |
SPEAKER_02 |
transcript.pyannote[467].start |
4503.91784375 |
transcript.pyannote[467].end |
4504.81221875 |
transcript.pyannote[468].speaker |
SPEAKER_02 |
transcript.pyannote[468].start |
4505.63909375 |
transcript.pyannote[468].end |
4506.26346875 |
transcript.pyannote[469].speaker |
SPEAKER_02 |
transcript.pyannote[469].start |
4506.70221875 |
transcript.pyannote[469].end |
4509.04784375 |
transcript.pyannote[470].speaker |
SPEAKER_02 |
transcript.pyannote[470].start |
4509.58784375 |
transcript.pyannote[470].end |
4509.84096875 |
transcript.pyannote[471].speaker |
SPEAKER_02 |
transcript.pyannote[471].start |
4510.34721875 |
transcript.pyannote[471].end |
4512.01784375 |
transcript.pyannote[472].speaker |
SPEAKER_02 |
transcript.pyannote[472].start |
4512.55784375 |
transcript.pyannote[472].end |
4515.42659375 |
transcript.pyannote[473].speaker |
SPEAKER_02 |
transcript.pyannote[473].start |
4516.15221875 |
transcript.pyannote[473].end |
4518.05909375 |
transcript.pyannote[474].speaker |
SPEAKER_02 |
transcript.pyannote[474].start |
4518.48096875 |
transcript.pyannote[474].end |
4521.77159375 |
transcript.pyannote[475].speaker |
SPEAKER_02 |
transcript.pyannote[475].start |
4523.10471875 |
transcript.pyannote[475].end |
4524.03284375 |
transcript.pyannote[476].speaker |
SPEAKER_02 |
transcript.pyannote[476].start |
4524.87659375 |
transcript.pyannote[476].end |
4526.66534375 |
transcript.pyannote[477].speaker |
SPEAKER_02 |
transcript.pyannote[477].start |
4527.50909375 |
transcript.pyannote[477].end |
4530.15846875 |
transcript.pyannote[478].speaker |
SPEAKER_02 |
transcript.pyannote[478].start |
4530.59721875 |
transcript.pyannote[478].end |
4534.59659375 |
transcript.pyannote[479].speaker |
SPEAKER_02 |
transcript.pyannote[479].start |
4535.49096875 |
transcript.pyannote[479].end |
4539.84471875 |
transcript.pyannote[480].speaker |
SPEAKER_02 |
transcript.pyannote[480].start |
4540.94159375 |
transcript.pyannote[480].end |
4543.99596875 |
transcript.pyannote[481].speaker |
SPEAKER_02 |
transcript.pyannote[481].start |
4544.58659375 |
transcript.pyannote[481].end |
4545.63284375 |
transcript.pyannote[482].speaker |
SPEAKER_02 |
transcript.pyannote[482].start |
4545.98721875 |
transcript.pyannote[482].end |
4549.95284375 |
transcript.pyannote[483].speaker |
SPEAKER_02 |
transcript.pyannote[483].start |
4551.16784375 |
transcript.pyannote[483].end |
4554.17159375 |
transcript.pyannote[484].speaker |
SPEAKER_02 |
transcript.pyannote[484].start |
4555.43721875 |
transcript.pyannote[484].end |
4558.32284375 |
transcript.pyannote[485].speaker |
SPEAKER_02 |
transcript.pyannote[485].start |
4558.67721875 |
transcript.pyannote[485].end |
4559.87534375 |
transcript.pyannote[486].speaker |
SPEAKER_02 |
transcript.pyannote[486].start |
4561.34346875 |
transcript.pyannote[486].end |
4562.37284375 |
transcript.pyannote[487].speaker |
SPEAKER_02 |
transcript.pyannote[487].start |
4562.54159375 |
transcript.pyannote[487].end |
4563.99284375 |
transcript.pyannote[488].speaker |
SPEAKER_02 |
transcript.pyannote[488].start |
4564.46534375 |
transcript.pyannote[488].end |
4565.71409375 |
transcript.pyannote[489].speaker |
SPEAKER_02 |
transcript.pyannote[489].start |
4566.76034375 |
transcript.pyannote[489].end |
4568.51534375 |
transcript.pyannote[490].speaker |
SPEAKER_02 |
transcript.pyannote[490].start |
4570.08471875 |
transcript.pyannote[490].end |
4570.79346875 |
transcript.pyannote[491].speaker |
SPEAKER_02 |
transcript.pyannote[491].start |
4570.99596875 |
transcript.pyannote[491].end |
4572.09284375 |
transcript.pyannote[492].speaker |
SPEAKER_02 |
transcript.pyannote[492].start |
4572.88596875 |
transcript.pyannote[492].end |
4574.91096875 |
transcript.pyannote[493].speaker |
SPEAKER_02 |
transcript.pyannote[493].start |
4575.75471875 |
transcript.pyannote[493].end |
4578.50534375 |
transcript.pyannote[494].speaker |
SPEAKER_02 |
transcript.pyannote[494].start |
4579.26471875 |
transcript.pyannote[494].end |
4581.03659375 |
transcript.pyannote[495].speaker |
SPEAKER_02 |
transcript.pyannote[495].start |
4582.30221875 |
transcript.pyannote[495].end |
4584.24284375 |
transcript.pyannote[496].speaker |
SPEAKER_02 |
transcript.pyannote[496].start |
4584.83346875 |
transcript.pyannote[496].end |
4585.52534375 |
transcript.pyannote[497].speaker |
SPEAKER_02 |
transcript.pyannote[497].start |
4586.62221875 |
transcript.pyannote[497].end |
4587.92159375 |
transcript.pyannote[498].speaker |
SPEAKER_02 |
transcript.pyannote[498].start |
4588.29284375 |
transcript.pyannote[498].end |
4589.76096875 |
transcript.pyannote[499].speaker |
SPEAKER_02 |
transcript.pyannote[499].start |
4590.57096875 |
transcript.pyannote[499].end |
4591.75221875 |
transcript.pyannote[500].speaker |
SPEAKER_02 |
transcript.pyannote[500].start |
4594.23284375 |
transcript.pyannote[500].end |
4596.32534375 |
transcript.pyannote[501].speaker |
SPEAKER_02 |
transcript.pyannote[501].start |
4596.78096875 |
transcript.pyannote[501].end |
4599.16034375 |
transcript.pyannote[502].speaker |
SPEAKER_02 |
transcript.pyannote[502].start |
4599.19409375 |
transcript.pyannote[502].end |
4601.08409375 |
transcript.pyannote[503].speaker |
SPEAKER_02 |
transcript.pyannote[503].start |
4602.06284375 |
transcript.pyannote[503].end |
4604.62784375 |
transcript.pyannote[504].speaker |
SPEAKER_02 |
transcript.pyannote[504].start |
4605.35346875 |
transcript.pyannote[504].end |
4608.03659375 |
transcript.pyannote[505].speaker |
SPEAKER_02 |
transcript.pyannote[505].start |
4609.84221875 |
transcript.pyannote[505].end |
4612.60971875 |
transcript.pyannote[506].speaker |
SPEAKER_02 |
transcript.pyannote[506].start |
4614.17909375 |
transcript.pyannote[506].end |
4615.37721875 |
transcript.pyannote[507].speaker |
SPEAKER_02 |
transcript.pyannote[507].start |
4616.92971875 |
transcript.pyannote[507].end |
4617.50346875 |
transcript.pyannote[508].speaker |
SPEAKER_02 |
transcript.pyannote[508].start |
4619.66346875 |
transcript.pyannote[508].end |
4622.00909375 |
transcript.pyannote[509].speaker |
SPEAKER_02 |
transcript.pyannote[509].start |
4622.90346875 |
transcript.pyannote[509].end |
4626.34596875 |
transcript.pyannote[510].speaker |
SPEAKER_02 |
transcript.pyannote[510].start |
4629.09659375 |
transcript.pyannote[510].end |
4630.36221875 |
transcript.pyannote[511].speaker |
SPEAKER_02 |
transcript.pyannote[511].start |
4631.22284375 |
transcript.pyannote[511].end |
4633.72034375 |
transcript.pyannote[512].speaker |
SPEAKER_02 |
transcript.pyannote[512].start |
4634.64846875 |
transcript.pyannote[512].end |
4641.76971875 |
transcript.pyannote[513].speaker |
SPEAKER_02 |
transcript.pyannote[513].start |
4642.44471875 |
transcript.pyannote[513].end |
4642.74846875 |
transcript.pyannote[514].speaker |
SPEAKER_02 |
transcript.pyannote[514].start |
4643.64284375 |
transcript.pyannote[514].end |
4645.27971875 |
transcript.pyannote[515].speaker |
SPEAKER_02 |
transcript.pyannote[515].start |
4645.88721875 |
transcript.pyannote[515].end |
4648.72221875 |
transcript.pyannote[516].speaker |
SPEAKER_02 |
transcript.pyannote[516].start |
4649.48159375 |
transcript.pyannote[516].end |
4651.16909375 |
transcript.pyannote[517].speaker |
SPEAKER_02 |
transcript.pyannote[517].start |
4652.28284375 |
transcript.pyannote[517].end |
4655.33721875 |
transcript.pyannote[518].speaker |
SPEAKER_02 |
transcript.pyannote[518].start |
4656.28221875 |
transcript.pyannote[518].end |
4657.09221875 |
transcript.pyannote[519].speaker |
SPEAKER_02 |
transcript.pyannote[519].start |
4659.13409375 |
transcript.pyannote[519].end |
4659.42096875 |
transcript.pyannote[520].speaker |
SPEAKER_02 |
transcript.pyannote[520].start |
4659.87659375 |
transcript.pyannote[520].end |
4660.60221875 |
transcript.pyannote[521].speaker |
SPEAKER_02 |
transcript.pyannote[521].start |
4661.22659375 |
transcript.pyannote[521].end |
4662.05346875 |
transcript.pyannote[522].speaker |
SPEAKER_02 |
transcript.pyannote[522].start |
4663.09971875 |
transcript.pyannote[522].end |
4665.24284375 |
transcript.pyannote[523].speaker |
SPEAKER_02 |
transcript.pyannote[523].start |
4666.06971875 |
transcript.pyannote[523].end |
4666.37346875 |
transcript.pyannote[524].speaker |
SPEAKER_02 |
transcript.pyannote[524].start |
4667.30159375 |
transcript.pyannote[524].end |
4667.94284375 |
transcript.pyannote[525].speaker |
SPEAKER_02 |
transcript.pyannote[525].start |
4669.37721875 |
transcript.pyannote[525].end |
4669.91721875 |
transcript.pyannote[526].speaker |
SPEAKER_02 |
transcript.pyannote[526].start |
4670.50784375 |
transcript.pyannote[526].end |
4671.60471875 |
transcript.pyannote[527].speaker |
SPEAKER_02 |
transcript.pyannote[527].start |
4672.54971875 |
transcript.pyannote[527].end |
4679.18159375 |
transcript.pyannote[528].speaker |
SPEAKER_02 |
transcript.pyannote[528].start |
4680.14346875 |
transcript.pyannote[528].end |
4682.01659375 |
transcript.pyannote[529].speaker |
SPEAKER_02 |
transcript.pyannote[529].start |
4683.04596875 |
transcript.pyannote[529].end |
4684.73346875 |
transcript.pyannote[530].speaker |
SPEAKER_02 |
transcript.pyannote[530].start |
4685.10471875 |
transcript.pyannote[530].end |
4687.68659375 |
transcript.pyannote[531].speaker |
SPEAKER_02 |
transcript.pyannote[531].start |
4687.83846875 |
transcript.pyannote[531].end |
4689.52596875 |
transcript.pyannote[532].speaker |
SPEAKER_02 |
transcript.pyannote[532].start |
4690.38659375 |
transcript.pyannote[532].end |
4692.07409375 |
transcript.pyannote[533].speaker |
SPEAKER_02 |
transcript.pyannote[533].start |
4692.56346875 |
transcript.pyannote[533].end |
4696.61346875 |
transcript.pyannote[534].speaker |
SPEAKER_02 |
transcript.pyannote[534].start |
4696.76534375 |
transcript.pyannote[534].end |
4698.62159375 |
transcript.pyannote[535].speaker |
SPEAKER_02 |
transcript.pyannote[535].start |
4699.09409375 |
transcript.pyannote[535].end |
4700.56221875 |
transcript.pyannote[536].speaker |
SPEAKER_02 |
transcript.pyannote[536].start |
4701.08534375 |
transcript.pyannote[536].end |
4703.65034375 |
transcript.pyannote[537].speaker |
SPEAKER_02 |
transcript.pyannote[537].start |
4704.96659375 |
transcript.pyannote[537].end |
4705.75971875 |
transcript.pyannote[538].speaker |
SPEAKER_02 |
transcript.pyannote[538].start |
4706.51909375 |
transcript.pyannote[538].end |
4708.20659375 |
transcript.pyannote[539].speaker |
SPEAKER_02 |
transcript.pyannote[539].start |
4709.26971875 |
transcript.pyannote[539].end |
4710.70409375 |
transcript.pyannote[540].speaker |
SPEAKER_02 |
transcript.pyannote[540].start |
4711.07534375 |
transcript.pyannote[540].end |
4713.15096875 |
transcript.pyannote[541].speaker |
SPEAKER_02 |
transcript.pyannote[541].start |
4714.24784375 |
transcript.pyannote[541].end |
4715.59784375 |
transcript.pyannote[542].speaker |
SPEAKER_02 |
transcript.pyannote[542].start |
4715.66534375 |
transcript.pyannote[542].end |
4719.15846875 |
transcript.pyannote[543].speaker |
SPEAKER_02 |
transcript.pyannote[543].start |
4719.85034375 |
transcript.pyannote[543].end |
4722.82034375 |
transcript.pyannote[544].speaker |
SPEAKER_02 |
transcript.pyannote[544].start |
4723.66409375 |
transcript.pyannote[544].end |
4724.40659375 |
transcript.pyannote[545].speaker |
SPEAKER_02 |
transcript.pyannote[545].start |
4724.77784375 |
transcript.pyannote[545].end |
4727.14034375 |
transcript.pyannote[546].speaker |
SPEAKER_02 |
transcript.pyannote[546].start |
4727.68034375 |
transcript.pyannote[546].end |
4732.45596875 |
transcript.pyannote[547].speaker |
SPEAKER_14 |
transcript.pyannote[547].start |
4732.45596875 |
transcript.pyannote[547].end |
4732.75971875 |
transcript.pyannote[548].speaker |
SPEAKER_02 |
transcript.pyannote[548].start |
4732.75971875 |
transcript.pyannote[548].end |
4734.10971875 |
transcript.pyannote[549].speaker |
SPEAKER_14 |
transcript.pyannote[549].start |
4732.79346875 |
transcript.pyannote[549].end |
4732.81034375 |
transcript.pyannote[550].speaker |
SPEAKER_14 |
transcript.pyannote[550].start |
4732.82721875 |
transcript.pyannote[550].end |
4732.86096875 |
transcript.pyannote[551].speaker |
SPEAKER_14 |
transcript.pyannote[551].start |
4734.04221875 |
transcript.pyannote[551].end |
4739.27346875 |
transcript.pyannote[552].speaker |
SPEAKER_03 |
transcript.pyannote[552].start |
4739.89784375 |
transcript.pyannote[552].end |
4744.53846875 |
transcript.pyannote[553].speaker |
SPEAKER_03 |
transcript.pyannote[553].start |
4745.66909375 |
transcript.pyannote[553].end |
4750.30971875 |
transcript.pyannote[554].speaker |
SPEAKER_03 |
transcript.pyannote[554].start |
4750.51221875 |
transcript.pyannote[554].end |
4753.46534375 |
transcript.pyannote[555].speaker |
SPEAKER_03 |
transcript.pyannote[555].start |
4753.97159375 |
transcript.pyannote[555].end |
4755.38909375 |
transcript.pyannote[556].speaker |
SPEAKER_03 |
transcript.pyannote[556].start |
4755.94596875 |
transcript.pyannote[556].end |
4764.26534375 |
transcript.pyannote[557].speaker |
SPEAKER_03 |
transcript.pyannote[557].start |
4764.77159375 |
transcript.pyannote[557].end |
4766.03721875 |
transcript.pyannote[558].speaker |
SPEAKER_03 |
transcript.pyannote[558].start |
4766.56034375 |
transcript.pyannote[558].end |
4768.92284375 |
transcript.pyannote[559].speaker |
SPEAKER_03 |
transcript.pyannote[559].start |
4769.24346875 |
transcript.pyannote[559].end |
4770.22221875 |
transcript.pyannote[560].speaker |
SPEAKER_03 |
transcript.pyannote[560].start |
4771.21784375 |
transcript.pyannote[560].end |
4777.22534375 |
transcript.pyannote[561].speaker |
SPEAKER_03 |
transcript.pyannote[561].start |
4777.51221875 |
transcript.pyannote[561].end |
4778.03534375 |
transcript.pyannote[562].speaker |
SPEAKER_03 |
transcript.pyannote[562].start |
4778.72721875 |
transcript.pyannote[562].end |
4779.58784375 |
transcript.pyannote[563].speaker |
SPEAKER_03 |
transcript.pyannote[563].start |
4780.58346875 |
transcript.pyannote[563].end |
4781.52846875 |
transcript.pyannote[564].speaker |
SPEAKER_03 |
transcript.pyannote[564].start |
4781.91659375 |
transcript.pyannote[564].end |
4783.18221875 |
transcript.pyannote[565].speaker |
SPEAKER_03 |
transcript.pyannote[565].start |
4783.63784375 |
transcript.pyannote[565].end |
4786.05096875 |
transcript.pyannote[566].speaker |
SPEAKER_03 |
transcript.pyannote[566].start |
4786.35471875 |
transcript.pyannote[566].end |
4787.65409375 |
transcript.pyannote[567].speaker |
SPEAKER_03 |
transcript.pyannote[567].start |
4788.24471875 |
transcript.pyannote[567].end |
4792.26096875 |
transcript.pyannote[568].speaker |
SPEAKER_03 |
transcript.pyannote[568].start |
4792.75034375 |
transcript.pyannote[568].end |
4793.84721875 |
transcript.pyannote[569].speaker |
SPEAKER_03 |
transcript.pyannote[569].start |
4794.99471875 |
transcript.pyannote[569].end |
4796.37846875 |
transcript.pyannote[570].speaker |
SPEAKER_03 |
transcript.pyannote[570].start |
4796.98596875 |
transcript.pyannote[570].end |
4797.61034375 |
transcript.pyannote[571].speaker |
SPEAKER_03 |
transcript.pyannote[571].start |
4798.33596875 |
transcript.pyannote[571].end |
4801.71096875 |
transcript.pyannote[572].speaker |
SPEAKER_03 |
transcript.pyannote[572].start |
4802.08221875 |
transcript.pyannote[572].end |
4804.27596875 |
transcript.pyannote[573].speaker |
SPEAKER_03 |
transcript.pyannote[573].start |
4805.03534375 |
transcript.pyannote[573].end |
4805.47409375 |
transcript.pyannote[574].speaker |
SPEAKER_03 |
transcript.pyannote[574].start |
4805.76096875 |
transcript.pyannote[574].end |
4811.86971875 |
transcript.pyannote[575].speaker |
SPEAKER_03 |
transcript.pyannote[575].start |
4812.35909375 |
transcript.pyannote[575].end |
4815.14346875 |
transcript.pyannote[576].speaker |
SPEAKER_03 |
transcript.pyannote[576].start |
4815.76784375 |
transcript.pyannote[576].end |
4817.48909375 |
transcript.pyannote[577].speaker |
SPEAKER_03 |
transcript.pyannote[577].start |
4817.80971875 |
transcript.pyannote[577].end |
4819.44659375 |
transcript.pyannote[578].speaker |
SPEAKER_03 |
transcript.pyannote[578].start |
4819.53096875 |
transcript.pyannote[578].end |
4820.86409375 |
transcript.pyannote[579].speaker |
SPEAKER_03 |
transcript.pyannote[579].start |
4821.11721875 |
transcript.pyannote[579].end |
4823.66534375 |
transcript.pyannote[580].speaker |
SPEAKER_03 |
transcript.pyannote[580].start |
4824.30659375 |
transcript.pyannote[580].end |
4827.79971875 |
transcript.pyannote[581].speaker |
SPEAKER_03 |
transcript.pyannote[581].start |
4828.69409375 |
transcript.pyannote[581].end |
4832.23784375 |
transcript.pyannote[582].speaker |
SPEAKER_03 |
transcript.pyannote[582].start |
4832.62596875 |
transcript.pyannote[582].end |
4834.16159375 |
transcript.pyannote[583].speaker |
SPEAKER_03 |
transcript.pyannote[583].start |
4835.25846875 |
transcript.pyannote[583].end |
4836.87846875 |
transcript.pyannote[584].speaker |
SPEAKER_03 |
transcript.pyannote[584].start |
4837.30034375 |
transcript.pyannote[584].end |
4839.32534375 |
transcript.pyannote[585].speaker |
SPEAKER_03 |
transcript.pyannote[585].start |
4839.88221875 |
transcript.pyannote[585].end |
4842.93659375 |
transcript.pyannote[586].speaker |
SPEAKER_03 |
transcript.pyannote[586].start |
4843.35846875 |
transcript.pyannote[586].end |
4848.60659375 |
transcript.pyannote[587].speaker |
SPEAKER_03 |
transcript.pyannote[587].start |
4849.58534375 |
transcript.pyannote[587].end |
4851.86346875 |
transcript.pyannote[588].speaker |
SPEAKER_03 |
transcript.pyannote[588].start |
4853.63534375 |
transcript.pyannote[588].end |
4865.32971875 |
transcript.pyannote[589].speaker |
SPEAKER_03 |
transcript.pyannote[589].start |
4865.59971875 |
transcript.pyannote[589].end |
4869.39659375 |
transcript.pyannote[590].speaker |
SPEAKER_03 |
transcript.pyannote[590].start |
4870.17284375 |
transcript.pyannote[590].end |
4870.62846875 |
transcript.pyannote[591].speaker |
SPEAKER_03 |
transcript.pyannote[591].start |
4871.69159375 |
transcript.pyannote[591].end |
4872.88971875 |
transcript.pyannote[592].speaker |
SPEAKER_03 |
transcript.pyannote[592].start |
4874.25659375 |
transcript.pyannote[592].end |
4874.79659375 |
transcript.pyannote[593].speaker |
SPEAKER_03 |
transcript.pyannote[593].start |
4876.88909375 |
transcript.pyannote[593].end |
4882.08659375 |
transcript.pyannote[594].speaker |
SPEAKER_03 |
transcript.pyannote[594].start |
4883.04846875 |
transcript.pyannote[594].end |
4888.93784375 |
transcript.pyannote[595].speaker |
SPEAKER_03 |
transcript.pyannote[595].start |
4889.34284375 |
transcript.pyannote[595].end |
4891.95846875 |
transcript.pyannote[596].speaker |
SPEAKER_03 |
transcript.pyannote[596].start |
4892.58284375 |
transcript.pyannote[596].end |
4894.05096875 |
transcript.pyannote[597].speaker |
SPEAKER_03 |
transcript.pyannote[597].start |
4894.21971875 |
transcript.pyannote[597].end |
4896.02534375 |
transcript.pyannote[598].speaker |
SPEAKER_03 |
transcript.pyannote[598].start |
4896.56534375 |
transcript.pyannote[598].end |
4897.17284375 |
transcript.pyannote[599].speaker |
SPEAKER_03 |
transcript.pyannote[599].start |
4897.67909375 |
transcript.pyannote[599].end |
4899.02909375 |
transcript.pyannote[600].speaker |
SPEAKER_03 |
transcript.pyannote[600].start |
4899.72096875 |
transcript.pyannote[600].end |
4901.18909375 |
transcript.pyannote[601].speaker |
SPEAKER_03 |
transcript.pyannote[601].start |
4902.77534375 |
transcript.pyannote[601].end |
4904.88471875 |
transcript.pyannote[602].speaker |
SPEAKER_03 |
transcript.pyannote[602].start |
4904.98596875 |
transcript.pyannote[602].end |
4905.03659375 |
transcript.pyannote[603].speaker |
SPEAKER_03 |
transcript.pyannote[603].start |
4905.05346875 |
transcript.pyannote[603].end |
4908.29346875 |
transcript.pyannote[604].speaker |
SPEAKER_03 |
transcript.pyannote[604].start |
4908.91784375 |
transcript.pyannote[604].end |
4909.93034375 |
transcript.pyannote[605].speaker |
SPEAKER_03 |
transcript.pyannote[605].start |
4911.76971875 |
transcript.pyannote[605].end |
4912.54596875 |
transcript.pyannote[606].speaker |
SPEAKER_03 |
transcript.pyannote[606].start |
4913.10284375 |
transcript.pyannote[606].end |
4915.43159375 |
transcript.pyannote[607].speaker |
SPEAKER_03 |
transcript.pyannote[607].start |
4916.10659375 |
transcript.pyannote[607].end |
4917.06846875 |
transcript.pyannote[608].speaker |
SPEAKER_03 |
transcript.pyannote[608].start |
4917.37221875 |
transcript.pyannote[608].end |
4919.56596875 |
transcript.pyannote[609].speaker |
SPEAKER_03 |
transcript.pyannote[609].start |
4919.76846875 |
transcript.pyannote[609].end |
4920.96659375 |
transcript.pyannote[610].speaker |
SPEAKER_03 |
transcript.pyannote[610].start |
4922.06346875 |
transcript.pyannote[610].end |
4923.00846875 |
transcript.pyannote[611].speaker |
SPEAKER_03 |
transcript.pyannote[611].start |
4924.08846875 |
transcript.pyannote[611].end |
4925.10096875 |
transcript.pyannote[612].speaker |
SPEAKER_03 |
transcript.pyannote[612].start |
4925.64096875 |
transcript.pyannote[612].end |
4927.26096875 |
transcript.pyannote[613].speaker |
SPEAKER_03 |
transcript.pyannote[613].start |
4927.80096875 |
transcript.pyannote[613].end |
4929.85971875 |
transcript.pyannote[614].speaker |
SPEAKER_03 |
transcript.pyannote[614].start |
4930.53471875 |
transcript.pyannote[614].end |
4931.42909375 |
transcript.pyannote[615].speaker |
SPEAKER_03 |
transcript.pyannote[615].start |
4931.78346875 |
transcript.pyannote[615].end |
4932.86346875 |
transcript.pyannote[616].speaker |
SPEAKER_03 |
transcript.pyannote[616].start |
4933.58909375 |
transcript.pyannote[616].end |
4935.04034375 |
transcript.pyannote[617].speaker |
SPEAKER_03 |
transcript.pyannote[617].start |
4936.00221875 |
transcript.pyannote[617].end |
4937.90909375 |
transcript.pyannote[618].speaker |
SPEAKER_03 |
transcript.pyannote[618].start |
4939.49534375 |
transcript.pyannote[618].end |
4941.06471875 |
transcript.pyannote[619].speaker |
SPEAKER_03 |
transcript.pyannote[619].start |
4941.46971875 |
transcript.pyannote[619].end |
4943.30909375 |
transcript.pyannote[620].speaker |
SPEAKER_03 |
transcript.pyannote[620].start |
4943.52846875 |
transcript.pyannote[620].end |
4945.78971875 |
transcript.pyannote[621].speaker |
SPEAKER_03 |
transcript.pyannote[621].start |
4946.58284375 |
transcript.pyannote[621].end |
4947.79784375 |
transcript.pyannote[622].speaker |
SPEAKER_03 |
transcript.pyannote[622].start |
4948.69221875 |
transcript.pyannote[622].end |
4949.73846875 |
transcript.pyannote[623].speaker |
SPEAKER_03 |
transcript.pyannote[623].start |
4950.32909375 |
transcript.pyannote[623].end |
4952.82659375 |
transcript.pyannote[624].speaker |
SPEAKER_03 |
transcript.pyannote[624].start |
4956.16784375 |
transcript.pyannote[624].end |
4961.44971875 |
transcript.pyannote[625].speaker |
SPEAKER_03 |
transcript.pyannote[625].start |
4962.19221875 |
transcript.pyannote[625].end |
4963.57596875 |
transcript.pyannote[626].speaker |
SPEAKER_03 |
transcript.pyannote[626].start |
4964.68971875 |
transcript.pyannote[626].end |
4968.21659375 |
transcript.pyannote[627].speaker |
SPEAKER_03 |
transcript.pyannote[627].start |
4968.40221875 |
transcript.pyannote[627].end |
4969.54971875 |
transcript.pyannote[628].speaker |
SPEAKER_03 |
transcript.pyannote[628].start |
4969.81971875 |
transcript.pyannote[628].end |
4971.87846875 |
transcript.pyannote[629].speaker |
SPEAKER_03 |
transcript.pyannote[629].start |
4974.15659375 |
transcript.pyannote[629].end |
4976.97471875 |
transcript.pyannote[630].speaker |
SPEAKER_03 |
transcript.pyannote[630].start |
4977.56534375 |
transcript.pyannote[630].end |
4981.26096875 |
transcript.pyannote[631].speaker |
SPEAKER_03 |
transcript.pyannote[631].start |
4981.51409375 |
transcript.pyannote[631].end |
4983.16784375 |
transcript.pyannote[632].speaker |
SPEAKER_03 |
transcript.pyannote[632].start |
4983.85971875 |
transcript.pyannote[632].end |
4985.53034375 |
transcript.pyannote[633].speaker |
SPEAKER_03 |
transcript.pyannote[633].start |
4986.44159375 |
transcript.pyannote[633].end |
4987.70721875 |
transcript.pyannote[634].speaker |
SPEAKER_03 |
transcript.pyannote[634].start |
4988.07846875 |
transcript.pyannote[634].end |
4993.81596875 |
transcript.pyannote[635].speaker |
SPEAKER_03 |
transcript.pyannote[635].start |
4994.69346875 |
transcript.pyannote[635].end |
4995.97596875 |
transcript.pyannote[636].speaker |
SPEAKER_03 |
transcript.pyannote[636].start |
4997.27534375 |
transcript.pyannote[636].end |
4998.43971875 |
transcript.pyannote[637].speaker |
SPEAKER_03 |
transcript.pyannote[637].start |
4998.97971875 |
transcript.pyannote[637].end |
5001.27471875 |
transcript.pyannote[638].speaker |
SPEAKER_03 |
transcript.pyannote[638].start |
5002.27034375 |
transcript.pyannote[638].end |
5006.43846875 |
transcript.pyannote[639].speaker |
SPEAKER_03 |
transcript.pyannote[639].start |
5008.66596875 |
transcript.pyannote[639].end |
5009.05409375 |
transcript.pyannote[640].speaker |
SPEAKER_03 |
transcript.pyannote[640].start |
5009.35784375 |
transcript.pyannote[640].end |
5012.22659375 |
transcript.pyannote[641].speaker |
SPEAKER_03 |
transcript.pyannote[641].start |
5012.66534375 |
transcript.pyannote[641].end |
5016.90096875 |
transcript.pyannote[642].speaker |
SPEAKER_03 |
transcript.pyannote[642].start |
5018.13284375 |
transcript.pyannote[642].end |
5018.95971875 |
transcript.pyannote[643].speaker |
SPEAKER_03 |
transcript.pyannote[643].start |
5019.43221875 |
transcript.pyannote[643].end |
5019.95534375 |
transcript.pyannote[644].speaker |
SPEAKER_03 |
transcript.pyannote[644].start |
5021.05221875 |
transcript.pyannote[644].end |
5021.99721875 |
transcript.pyannote[645].speaker |
SPEAKER_03 |
transcript.pyannote[645].start |
5022.40221875 |
transcript.pyannote[645].end |
5027.93721875 |
transcript.pyannote[646].speaker |
SPEAKER_03 |
transcript.pyannote[646].start |
5029.89471875 |
transcript.pyannote[646].end |
5030.56971875 |
transcript.pyannote[647].speaker |
SPEAKER_03 |
transcript.pyannote[647].start |
5030.97471875 |
transcript.pyannote[647].end |
5031.56534375 |
transcript.pyannote[648].speaker |
SPEAKER_03 |
transcript.pyannote[648].start |
5031.81846875 |
transcript.pyannote[648].end |
5033.13471875 |
transcript.pyannote[649].speaker |
SPEAKER_03 |
transcript.pyannote[649].start |
5033.91096875 |
transcript.pyannote[649].end |
5036.05409375 |
transcript.pyannote[650].speaker |
SPEAKER_03 |
transcript.pyannote[650].start |
5036.52659375 |
transcript.pyannote[650].end |
5047.84971875 |
transcript.pyannote[651].speaker |
SPEAKER_03 |
transcript.pyannote[651].start |
5048.76096875 |
transcript.pyannote[651].end |
5051.46096875 |
transcript.pyannote[652].speaker |
SPEAKER_03 |
transcript.pyannote[652].start |
5051.93346875 |
transcript.pyannote[652].end |
5052.59159375 |
transcript.pyannote[653].speaker |
SPEAKER_03 |
transcript.pyannote[653].start |
5053.03034375 |
transcript.pyannote[653].end |
5057.31659375 |
transcript.pyannote[654].speaker |
SPEAKER_03 |
transcript.pyannote[654].start |
5057.87346875 |
transcript.pyannote[654].end |
5077.51596875 |
transcript.pyannote[655].speaker |
SPEAKER_03 |
transcript.pyannote[655].start |
5078.30909375 |
transcript.pyannote[655].end |
5082.05534375 |
transcript.pyannote[656].speaker |
SPEAKER_03 |
transcript.pyannote[656].start |
5082.69659375 |
transcript.pyannote[656].end |
5086.49346875 |
transcript.pyannote[657].speaker |
SPEAKER_03 |
transcript.pyannote[657].start |
5087.01659375 |
transcript.pyannote[657].end |
5088.23159375 |
transcript.pyannote[658].speaker |
SPEAKER_03 |
transcript.pyannote[658].start |
5089.44659375 |
transcript.pyannote[658].end |
5090.62784375 |
transcript.pyannote[659].speaker |
SPEAKER_03 |
transcript.pyannote[659].start |
5091.94409375 |
transcript.pyannote[659].end |
5092.16346875 |
transcript.pyannote[660].speaker |
SPEAKER_03 |
transcript.pyannote[660].start |
5092.68659375 |
transcript.pyannote[660].end |
5095.31909375 |
transcript.pyannote[661].speaker |
SPEAKER_03 |
transcript.pyannote[661].start |
5095.85909375 |
transcript.pyannote[661].end |
5098.03596875 |
transcript.pyannote[662].speaker |
SPEAKER_03 |
transcript.pyannote[662].start |
5098.54221875 |
transcript.pyannote[662].end |
5100.28034375 |
transcript.pyannote[663].speaker |
SPEAKER_03 |
transcript.pyannote[663].start |
5101.44471875 |
transcript.pyannote[663].end |
5116.29471875 |
transcript.pyannote[664].speaker |
SPEAKER_03 |
transcript.pyannote[664].start |
5116.93596875 |
transcript.pyannote[664].end |
5122.45409375 |
transcript.pyannote[665].speaker |
SPEAKER_03 |
transcript.pyannote[665].start |
5122.72409375 |
transcript.pyannote[665].end |
5123.28096875 |
transcript.pyannote[666].speaker |
SPEAKER_03 |
transcript.pyannote[666].start |
5124.37784375 |
transcript.pyannote[666].end |
5125.15409375 |
transcript.pyannote[667].speaker |
SPEAKER_03 |
transcript.pyannote[667].start |
5125.74471875 |
transcript.pyannote[667].end |
5127.56721875 |
transcript.pyannote[668].speaker |
SPEAKER_03 |
transcript.pyannote[668].start |
5127.66846875 |
transcript.pyannote[668].end |
5128.25909375 |
transcript.pyannote[669].speaker |
SPEAKER_03 |
transcript.pyannote[669].start |
5129.76096875 |
transcript.pyannote[669].end |
5132.95034375 |
transcript.pyannote[670].speaker |
SPEAKER_03 |
transcript.pyannote[670].start |
5134.11471875 |
transcript.pyannote[670].end |
5139.17721875 |
transcript.pyannote[671].speaker |
SPEAKER_03 |
transcript.pyannote[671].start |
5139.66659375 |
transcript.pyannote[671].end |
5141.10096875 |
transcript.pyannote[672].speaker |
SPEAKER_03 |
transcript.pyannote[672].start |
5141.64096875 |
transcript.pyannote[672].end |
5144.34096875 |
transcript.pyannote[673].speaker |
SPEAKER_03 |
transcript.pyannote[673].start |
5145.57284375 |
transcript.pyannote[673].end |
5146.83846875 |
transcript.pyannote[674].speaker |
SPEAKER_03 |
transcript.pyannote[674].start |
5148.12096875 |
transcript.pyannote[674].end |
5149.47096875 |
transcript.pyannote[675].speaker |
SPEAKER_03 |
transcript.pyannote[675].start |
5149.62284375 |
transcript.pyannote[675].end |
5157.52034375 |
transcript.pyannote[676].speaker |
SPEAKER_03 |
transcript.pyannote[676].start |
5158.31346875 |
transcript.pyannote[676].end |
5158.87034375 |
transcript.pyannote[677].speaker |
SPEAKER_03 |
transcript.pyannote[677].start |
5159.25846875 |
transcript.pyannote[677].end |
5163.91596875 |
transcript.pyannote[678].speaker |
SPEAKER_03 |
transcript.pyannote[678].start |
5164.00034375 |
transcript.pyannote[678].end |
5166.22784375 |
transcript.pyannote[679].speaker |
SPEAKER_03 |
transcript.pyannote[679].start |
5167.27409375 |
transcript.pyannote[679].end |
5167.67909375 |
transcript.pyannote[680].speaker |
SPEAKER_03 |
transcript.pyannote[680].start |
5168.43846875 |
transcript.pyannote[680].end |
5169.34971875 |
transcript.pyannote[681].speaker |
SPEAKER_03 |
transcript.pyannote[681].start |
5169.78846875 |
transcript.pyannote[681].end |
5170.19346875 |
transcript.pyannote[682].speaker |
SPEAKER_03 |
transcript.pyannote[682].start |
5170.91909375 |
transcript.pyannote[682].end |
5173.02846875 |
transcript.pyannote[683].speaker |
SPEAKER_03 |
transcript.pyannote[683].start |
5173.39971875 |
transcript.pyannote[683].end |
5176.28534375 |
transcript.pyannote[684].speaker |
SPEAKER_03 |
transcript.pyannote[684].start |
5176.94346875 |
transcript.pyannote[684].end |
5182.54596875 |
transcript.pyannote[685].speaker |
SPEAKER_03 |
transcript.pyannote[685].start |
5183.42346875 |
transcript.pyannote[685].end |
5192.87346875 |
transcript.pyannote[686].speaker |
SPEAKER_14 |
transcript.pyannote[686].start |
5194.42596875 |
transcript.pyannote[686].end |
5205.39471875 |
transcript.pyannote[687].speaker |
SPEAKER_14 |
transcript.pyannote[687].start |
5820.26909375 |
transcript.pyannote[687].end |
5823.12096875 |
transcript.pyannote[688].speaker |
SPEAKER_06 |
transcript.pyannote[688].start |
5820.80909375 |
transcript.pyannote[688].end |
5821.60221875 |
transcript.pyannote[689].speaker |
SPEAKER_14 |
transcript.pyannote[689].start |
5839.86096875 |
transcript.pyannote[689].end |
5840.89034375 |
transcript.pyannote[690].speaker |
SPEAKER_06 |
transcript.pyannote[690].start |
5852.83784375 |
transcript.pyannote[690].end |
5852.87159375 |
transcript.pyannote[691].speaker |
SPEAKER_14 |
transcript.pyannote[691].start |
5852.87159375 |
transcript.pyannote[691].end |
5853.12471875 |
transcript.pyannote[692].speaker |
SPEAKER_14 |
transcript.pyannote[692].start |
5854.23846875 |
transcript.pyannote[692].end |
5854.54221875 |
transcript.pyannote[693].speaker |
SPEAKER_14 |
transcript.pyannote[693].start |
5856.09471875 |
transcript.pyannote[693].end |
5857.25909375 |
transcript.pyannote[694].speaker |
SPEAKER_14 |
transcript.pyannote[694].start |
5857.86659375 |
transcript.pyannote[694].end |
5859.87471875 |
transcript.pyannote[695].speaker |
SPEAKER_14 |
transcript.pyannote[695].start |
5860.12784375 |
transcript.pyannote[695].end |
5861.20784375 |
transcript.pyannote[696].speaker |
SPEAKER_14 |
transcript.pyannote[696].start |
5861.83221875 |
transcript.pyannote[696].end |
5863.84034375 |
transcript.pyannote[697].speaker |
SPEAKER_13 |
transcript.pyannote[697].start |
5868.05909375 |
transcript.pyannote[697].end |
5870.62409375 |
transcript.pyannote[698].speaker |
SPEAKER_13 |
transcript.pyannote[698].start |
5871.34971875 |
transcript.pyannote[698].end |
5872.88534375 |
transcript.pyannote[699].speaker |
SPEAKER_13 |
transcript.pyannote[699].start |
5873.61096875 |
transcript.pyannote[699].end |
5875.72034375 |
transcript.pyannote[700].speaker |
SPEAKER_13 |
transcript.pyannote[700].start |
5876.31096875 |
transcript.pyannote[700].end |
5878.85909375 |
transcript.pyannote[701].speaker |
SPEAKER_13 |
transcript.pyannote[701].start |
5879.46659375 |
transcript.pyannote[701].end |
5880.78284375 |
transcript.pyannote[702].speaker |
SPEAKER_13 |
transcript.pyannote[702].start |
5881.55909375 |
transcript.pyannote[702].end |
5883.16221875 |
transcript.pyannote[703].speaker |
SPEAKER_13 |
transcript.pyannote[703].start |
5883.68534375 |
transcript.pyannote[703].end |
5885.64284375 |
transcript.pyannote[704].speaker |
SPEAKER_13 |
transcript.pyannote[704].start |
5886.16596875 |
transcript.pyannote[704].end |
5888.83221875 |
transcript.pyannote[705].speaker |
SPEAKER_13 |
transcript.pyannote[705].start |
5889.60846875 |
transcript.pyannote[705].end |
5893.33784375 |
transcript.pyannote[706].speaker |
SPEAKER_13 |
transcript.pyannote[706].start |
5893.74284375 |
transcript.pyannote[706].end |
5895.98721875 |
transcript.pyannote[707].speaker |
SPEAKER_13 |
transcript.pyannote[707].start |
5896.37534375 |
transcript.pyannote[707].end |
5898.58596875 |
transcript.pyannote[708].speaker |
SPEAKER_13 |
transcript.pyannote[708].start |
5898.99096875 |
transcript.pyannote[708].end |
5901.37034375 |
transcript.pyannote[709].speaker |
SPEAKER_13 |
transcript.pyannote[709].start |
5901.97784375 |
transcript.pyannote[709].end |
5903.95221875 |
transcript.pyannote[710].speaker |
SPEAKER_13 |
transcript.pyannote[710].start |
5904.45846875 |
transcript.pyannote[710].end |
5906.83784375 |
transcript.pyannote[711].speaker |
SPEAKER_13 |
transcript.pyannote[711].start |
5907.27659375 |
transcript.pyannote[711].end |
5925.53534375 |
transcript.pyannote[712].speaker |
SPEAKER_13 |
transcript.pyannote[712].start |
5926.36221875 |
transcript.pyannote[712].end |
5928.06659375 |
transcript.pyannote[713].speaker |
SPEAKER_13 |
transcript.pyannote[713].start |
5928.89346875 |
transcript.pyannote[713].end |
5931.96471875 |
transcript.pyannote[714].speaker |
SPEAKER_13 |
transcript.pyannote[714].start |
5932.89284375 |
transcript.pyannote[714].end |
5934.68159375 |
transcript.pyannote[715].speaker |
SPEAKER_13 |
transcript.pyannote[715].start |
5935.30596875 |
transcript.pyannote[715].end |
5938.20846875 |
transcript.pyannote[716].speaker |
SPEAKER_13 |
transcript.pyannote[716].start |
5938.91721875 |
transcript.pyannote[716].end |
5940.80721875 |
transcript.pyannote[717].speaker |
SPEAKER_13 |
transcript.pyannote[717].start |
5941.24596875 |
transcript.pyannote[717].end |
5943.32159375 |
transcript.pyannote[718].speaker |
SPEAKER_13 |
transcript.pyannote[718].start |
5943.65909375 |
transcript.pyannote[718].end |
5952.02909375 |
transcript.pyannote[719].speaker |
SPEAKER_13 |
transcript.pyannote[719].start |
5952.56909375 |
transcript.pyannote[719].end |
5954.12159375 |
transcript.pyannote[720].speaker |
SPEAKER_13 |
transcript.pyannote[720].start |
5954.81346875 |
transcript.pyannote[720].end |
5959.53846875 |
transcript.pyannote[721].speaker |
SPEAKER_13 |
transcript.pyannote[721].start |
5960.41596875 |
transcript.pyannote[721].end |
5963.62221875 |
transcript.pyannote[722].speaker |
SPEAKER_13 |
transcript.pyannote[722].start |
5964.12846875 |
transcript.pyannote[722].end |
5965.90034375 |
transcript.pyannote[723].speaker |
SPEAKER_13 |
transcript.pyannote[723].start |
5966.72721875 |
transcript.pyannote[723].end |
5969.27534375 |
transcript.pyannote[724].speaker |
SPEAKER_13 |
transcript.pyannote[724].start |
5969.49471875 |
transcript.pyannote[724].end |
5970.18659375 |
transcript.pyannote[725].speaker |
SPEAKER_13 |
transcript.pyannote[725].start |
5970.72659375 |
transcript.pyannote[725].end |
5972.61659375 |
transcript.pyannote[726].speaker |
SPEAKER_13 |
transcript.pyannote[726].start |
5973.22409375 |
transcript.pyannote[726].end |
5978.20221875 |
transcript.pyannote[727].speaker |
SPEAKER_13 |
transcript.pyannote[727].start |
5978.57346875 |
transcript.pyannote[727].end |
5985.44159375 |
transcript.pyannote[728].speaker |
SPEAKER_13 |
transcript.pyannote[728].start |
5986.09971875 |
transcript.pyannote[728].end |
5986.45409375 |
transcript.pyannote[729].speaker |
SPEAKER_13 |
transcript.pyannote[729].start |
5986.65659375 |
transcript.pyannote[729].end |
5987.43284375 |
transcript.pyannote[730].speaker |
SPEAKER_13 |
transcript.pyannote[730].start |
5987.93909375 |
transcript.pyannote[730].end |
5990.99346875 |
transcript.pyannote[731].speaker |
SPEAKER_13 |
transcript.pyannote[731].start |
5991.55034375 |
transcript.pyannote[731].end |
5993.45721875 |
transcript.pyannote[732].speaker |
SPEAKER_14 |
transcript.pyannote[732].start |
5993.54159375 |
transcript.pyannote[732].end |
5995.46534375 |
transcript.pyannote[733].speaker |
SPEAKER_13 |
transcript.pyannote[733].start |
5994.63846875 |
transcript.pyannote[733].end |
5996.44409375 |
transcript.pyannote[734].speaker |
SPEAKER_13 |
transcript.pyannote[734].start |
5996.62971875 |
transcript.pyannote[734].end |
5998.28346875 |
transcript.pyannote[735].speaker |
SPEAKER_13 |
transcript.pyannote[735].start |
5998.97534375 |
transcript.pyannote[735].end |
5999.76846875 |
transcript.pyannote[736].speaker |
SPEAKER_13 |
transcript.pyannote[736].start |
6000.19034375 |
transcript.pyannote[736].end |
6002.11409375 |
transcript.pyannote[737].speaker |
SPEAKER_03 |
transcript.pyannote[737].start |
6001.91159375 |
transcript.pyannote[737].end |
6003.07596875 |
transcript.pyannote[738].speaker |
SPEAKER_13 |
transcript.pyannote[738].start |
6003.07596875 |
transcript.pyannote[738].end |
6004.35846875 |
transcript.pyannote[739].speaker |
SPEAKER_03 |
transcript.pyannote[739].start |
6004.02096875 |
transcript.pyannote[739].end |
6005.08409375 |
transcript.pyannote[740].speaker |
SPEAKER_13 |
transcript.pyannote[740].start |
6004.98284375 |
transcript.pyannote[740].end |
6005.05034375 |
transcript.pyannote[741].speaker |
SPEAKER_13 |
transcript.pyannote[741].start |
6005.08409375 |
transcript.pyannote[741].end |
6006.67034375 |
transcript.pyannote[742].speaker |
SPEAKER_14 |
transcript.pyannote[742].start |
6005.80971875 |
transcript.pyannote[742].end |
6006.94034375 |
transcript.pyannote[743].speaker |
SPEAKER_13 |
transcript.pyannote[743].start |
6006.94034375 |
transcript.pyannote[743].end |
6011.34471875 |
transcript.pyannote[744].speaker |
SPEAKER_13 |
transcript.pyannote[744].start |
6011.37846875 |
transcript.pyannote[744].end |
6018.53346875 |
transcript.pyannote[745].speaker |
SPEAKER_13 |
transcript.pyannote[745].start |
6018.97221875 |
transcript.pyannote[745].end |
6029.95784375 |
transcript.pyannote[746].speaker |
SPEAKER_13 |
transcript.pyannote[746].start |
6030.53159375 |
transcript.pyannote[746].end |
6031.94909375 |
transcript.pyannote[747].speaker |
SPEAKER_13 |
transcript.pyannote[747].start |
6033.24846875 |
transcript.pyannote[747].end |
6033.56909375 |
transcript.pyannote[748].speaker |
SPEAKER_13 |
transcript.pyannote[748].start |
6034.64909375 |
transcript.pyannote[748].end |
6035.71221875 |
transcript.pyannote[749].speaker |
SPEAKER_13 |
transcript.pyannote[749].start |
6036.30284375 |
transcript.pyannote[749].end |
6038.88471875 |
transcript.pyannote[750].speaker |
SPEAKER_13 |
transcript.pyannote[750].start |
6039.44159375 |
transcript.pyannote[750].end |
6040.65659375 |
transcript.pyannote[751].speaker |
SPEAKER_13 |
transcript.pyannote[751].start |
6041.16284375 |
transcript.pyannote[751].end |
6053.32971875 |
transcript.pyannote[752].speaker |
SPEAKER_13 |
transcript.pyannote[752].start |
6053.86971875 |
transcript.pyannote[752].end |
6057.68346875 |
transcript.pyannote[753].speaker |
SPEAKER_13 |
transcript.pyannote[753].start |
6058.05471875 |
transcript.pyannote[753].end |
6059.80971875 |
transcript.pyannote[754].speaker |
SPEAKER_13 |
transcript.pyannote[754].start |
6060.24846875 |
transcript.pyannote[754].end |
6065.80034375 |
transcript.pyannote[755].speaker |
SPEAKER_14 |
transcript.pyannote[755].start |
6065.80034375 |
transcript.pyannote[755].end |
6066.61034375 |
transcript.pyannote[756].speaker |
SPEAKER_14 |
transcript.pyannote[756].start |
6066.89721875 |
transcript.pyannote[756].end |
6069.10784375 |
transcript.pyannote[757].speaker |
SPEAKER_14 |
transcript.pyannote[757].start |
6069.78284375 |
transcript.pyannote[757].end |
6075.82409375 |
transcript.pyannote[758].speaker |
SPEAKER_01 |
transcript.pyannote[758].start |
6075.19971875 |
transcript.pyannote[758].end |
6079.68846875 |
transcript.pyannote[759].speaker |
SPEAKER_01 |
transcript.pyannote[759].start |
6080.26221875 |
transcript.pyannote[759].end |
6118.78784375 |
transcript.pyannote[760].speaker |
SPEAKER_01 |
transcript.pyannote[760].start |
6119.05784375 |
transcript.pyannote[760].end |
6146.24346875 |
transcript.pyannote[761].speaker |
SPEAKER_01 |
transcript.pyannote[761].start |
6146.95221875 |
transcript.pyannote[761].end |
6179.68971875 |
transcript.pyannote[762].speaker |
SPEAKER_01 |
transcript.pyannote[762].start |
6180.12846875 |
transcript.pyannote[762].end |
6181.56284375 |
transcript.pyannote[763].speaker |
SPEAKER_01 |
transcript.pyannote[763].start |
6182.03534375 |
transcript.pyannote[763].end |
6190.54034375 |
transcript.pyannote[764].speaker |
SPEAKER_01 |
transcript.pyannote[764].start |
6190.74284375 |
transcript.pyannote[764].end |
6206.36909375 |
transcript.pyannote[765].speaker |
SPEAKER_01 |
transcript.pyannote[765].start |
6206.68971875 |
transcript.pyannote[765].end |
6208.84971875 |
transcript.pyannote[766].speaker |
SPEAKER_01 |
transcript.pyannote[766].start |
6209.11971875 |
transcript.pyannote[766].end |
6232.32284375 |
transcript.pyannote[767].speaker |
SPEAKER_01 |
transcript.pyannote[767].start |
6232.55909375 |
transcript.pyannote[767].end |
6256.03221875 |
transcript.pyannote[768].speaker |
SPEAKER_01 |
transcript.pyannote[768].start |
6256.26846875 |
transcript.pyannote[768].end |
6258.09096875 |
transcript.pyannote[769].speaker |
SPEAKER_01 |
transcript.pyannote[769].start |
6258.69846875 |
transcript.pyannote[769].end |
6258.95159375 |
transcript.pyannote[770].speaker |
SPEAKER_01 |
transcript.pyannote[770].start |
6259.10346875 |
transcript.pyannote[770].end |
6267.60846875 |
transcript.pyannote[771].speaker |
SPEAKER_01 |
transcript.pyannote[771].start |
6267.76034375 |
transcript.pyannote[771].end |
6275.75909375 |
transcript.pyannote[772].speaker |
SPEAKER_01 |
transcript.pyannote[772].start |
6275.94471875 |
transcript.pyannote[772].end |
6281.41221875 |
transcript.pyannote[773].speaker |
SPEAKER_01 |
transcript.pyannote[773].start |
6282.07034375 |
transcript.pyannote[773].end |
6352.69221875 |
transcript.pyannote[774].speaker |
SPEAKER_01 |
transcript.pyannote[774].start |
6353.06346875 |
transcript.pyannote[774].end |
6356.70846875 |
transcript.pyannote[775].speaker |
SPEAKER_14 |
transcript.pyannote[775].start |
6356.79284375 |
transcript.pyannote[775].end |
6359.45909375 |
transcript.pyannote[776].speaker |
SPEAKER_04 |
transcript.pyannote[776].start |
6360.97784375 |
transcript.pyannote[776].end |
6440.42534375 |
transcript.pyannote[777].speaker |
SPEAKER_04 |
transcript.pyannote[777].start |
6440.49284375 |
transcript.pyannote[777].end |
6447.20909375 |
transcript.pyannote[778].speaker |
SPEAKER_04 |
transcript.pyannote[778].start |
6447.51284375 |
transcript.pyannote[778].end |
6547.29471875 |
transcript.pyannote[779].speaker |
SPEAKER_04 |
transcript.pyannote[779].start |
6547.53096875 |
transcript.pyannote[779].end |
6585.28034375 |
transcript.pyannote[780].speaker |
SPEAKER_04 |
transcript.pyannote[780].start |
6585.51659375 |
transcript.pyannote[780].end |
6593.56596875 |
transcript.pyannote[781].speaker |
SPEAKER_04 |
transcript.pyannote[781].start |
6593.92034375 |
transcript.pyannote[781].end |
6621.02159375 |
transcript.pyannote[782].speaker |
SPEAKER_04 |
transcript.pyannote[782].start |
6621.71346875 |
transcript.pyannote[782].end |
6625.81409375 |
transcript.pyannote[783].speaker |
SPEAKER_04 |
transcript.pyannote[783].start |
6626.16846875 |
transcript.pyannote[783].end |
6627.99096875 |
transcript.pyannote[784].speaker |
SPEAKER_04 |
transcript.pyannote[784].start |
6628.53096875 |
transcript.pyannote[784].end |
6659.63159375 |
transcript.pyannote[785].speaker |
SPEAKER_04 |
transcript.pyannote[785].start |
6660.74534375 |
transcript.pyannote[785].end |
6669.82409375 |
transcript.pyannote[786].speaker |
SPEAKER_04 |
transcript.pyannote[786].start |
6671.27534375 |
transcript.pyannote[786].end |
6673.67159375 |
transcript.pyannote[787].speaker |
SPEAKER_04 |
transcript.pyannote[787].start |
6674.85284375 |
transcript.pyannote[787].end |
6675.94971875 |
transcript.pyannote[788].speaker |
SPEAKER_04 |
transcript.pyannote[788].start |
6676.30409375 |
transcript.pyannote[788].end |
6677.77221875 |
transcript.pyannote[789].speaker |
SPEAKER_04 |
transcript.pyannote[789].start |
6678.17721875 |
transcript.pyannote[789].end |
6682.49721875 |
transcript.pyannote[790].speaker |
SPEAKER_04 |
transcript.pyannote[790].start |
6683.22284375 |
transcript.pyannote[790].end |
6692.03159375 |
transcript.pyannote[791].speaker |
SPEAKER_04 |
transcript.pyannote[791].start |
6692.75721875 |
transcript.pyannote[791].end |
6693.88784375 |
transcript.pyannote[792].speaker |
SPEAKER_04 |
transcript.pyannote[792].start |
6694.64721875 |
transcript.pyannote[792].end |
6698.17409375 |
transcript.pyannote[793].speaker |
SPEAKER_04 |
transcript.pyannote[793].start |
6699.49034375 |
transcript.pyannote[793].end |
6710.74596875 |
transcript.pyannote[794].speaker |
SPEAKER_04 |
transcript.pyannote[794].start |
6710.96534375 |
transcript.pyannote[794].end |
6715.87596875 |
transcript.pyannote[795].speaker |
SPEAKER_04 |
transcript.pyannote[795].start |
6716.23034375 |
transcript.pyannote[795].end |
6731.83971875 |
transcript.pyannote[796].speaker |
SPEAKER_04 |
transcript.pyannote[796].start |
6732.07596875 |
transcript.pyannote[796].end |
6752.10659375 |
transcript.pyannote[797].speaker |
SPEAKER_04 |
transcript.pyannote[797].start |
6753.18659375 |
transcript.pyannote[797].end |
6753.84471875 |
transcript.pyannote[798].speaker |
SPEAKER_04 |
transcript.pyannote[798].start |
6753.92909375 |
transcript.pyannote[798].end |
6754.99221875 |
transcript.pyannote[799].speaker |
SPEAKER_04 |
transcript.pyannote[799].start |
6755.26221875 |
transcript.pyannote[799].end |
6758.02971875 |
transcript.pyannote[800].speaker |
SPEAKER_04 |
transcript.pyannote[800].start |
6758.55284375 |
transcript.pyannote[800].end |
6764.29034375 |
transcript.pyannote[801].speaker |
SPEAKER_04 |
transcript.pyannote[801].start |
6764.54346875 |
transcript.pyannote[801].end |
6781.65471875 |
transcript.pyannote[802].speaker |
SPEAKER_04 |
transcript.pyannote[802].start |
6781.87409375 |
transcript.pyannote[802].end |
6791.54346875 |
transcript.pyannote[803].speaker |
SPEAKER_04 |
transcript.pyannote[803].start |
6791.83034375 |
transcript.pyannote[803].end |
6794.07471875 |
transcript.pyannote[804].speaker |
SPEAKER_04 |
transcript.pyannote[804].start |
6794.54721875 |
transcript.pyannote[804].end |
6798.59721875 |
transcript.pyannote[805].speaker |
SPEAKER_04 |
transcript.pyannote[805].start |
6799.15409375 |
transcript.pyannote[805].end |
6808.89096875 |
transcript.pyannote[806].speaker |
SPEAKER_04 |
transcript.pyannote[806].start |
6809.53221875 |
transcript.pyannote[806].end |
6810.79784375 |
transcript.pyannote[807].speaker |
SPEAKER_04 |
transcript.pyannote[807].start |
6810.88221875 |
transcript.pyannote[807].end |
6811.23659375 |
transcript.pyannote[808].speaker |
SPEAKER_04 |
transcript.pyannote[808].start |
6811.47284375 |
transcript.pyannote[808].end |
6811.96221875 |
transcript.pyannote[809].speaker |
SPEAKER_04 |
transcript.pyannote[809].start |
6812.45159375 |
transcript.pyannote[809].end |
6827.13284375 |
transcript.pyannote[810].speaker |
SPEAKER_04 |
transcript.pyannote[810].start |
6827.48721875 |
transcript.pyannote[810].end |
6852.73221875 |
transcript.pyannote[811].speaker |
SPEAKER_04 |
transcript.pyannote[811].start |
6853.18784375 |
transcript.pyannote[811].end |
6857.27159375 |
transcript.pyannote[812].speaker |
SPEAKER_04 |
transcript.pyannote[812].start |
6857.55846875 |
transcript.pyannote[812].end |
6864.03846875 |
transcript.pyannote[813].speaker |
SPEAKER_04 |
transcript.pyannote[813].start |
6864.10596875 |
transcript.pyannote[813].end |
6881.30159375 |
transcript.pyannote[814].speaker |
SPEAKER_04 |
transcript.pyannote[814].start |
6882.01034375 |
transcript.pyannote[814].end |
6885.35159375 |
transcript.pyannote[815].speaker |
SPEAKER_04 |
transcript.pyannote[815].start |
6886.16159375 |
transcript.pyannote[815].end |
6904.03221875 |
transcript.pyannote[816].speaker |
SPEAKER_04 |
transcript.pyannote[816].start |
6904.55534375 |
transcript.pyannote[816].end |
6908.52096875 |
transcript.pyannote[817].speaker |
SPEAKER_04 |
transcript.pyannote[817].start |
6909.02721875 |
transcript.pyannote[817].end |
6920.53596875 |
transcript.pyannote[818].speaker |
SPEAKER_04 |
transcript.pyannote[818].start |
6921.12659375 |
transcript.pyannote[818].end |
6928.43346875 |
transcript.pyannote[819].speaker |
SPEAKER_04 |
transcript.pyannote[819].start |
6928.77096875 |
transcript.pyannote[819].end |
6928.78784375 |
transcript.pyannote[820].speaker |
SPEAKER_14 |
transcript.pyannote[820].start |
6928.78784375 |
transcript.pyannote[820].end |
6939.63846875 |
transcript.pyannote[821].speaker |
SPEAKER_07 |
transcript.pyannote[821].start |
6940.54971875 |
transcript.pyannote[821].end |
6944.27909375 |
transcript.pyannote[822].speaker |
SPEAKER_07 |
transcript.pyannote[822].start |
6944.83596875 |
transcript.pyannote[822].end |
6946.52346875 |
transcript.pyannote[823].speaker |
SPEAKER_07 |
transcript.pyannote[823].start |
6946.99596875 |
transcript.pyannote[823].end |
6949.64534375 |
transcript.pyannote[824].speaker |
SPEAKER_07 |
transcript.pyannote[824].start |
6950.08409375 |
transcript.pyannote[824].end |
6963.19596875 |
transcript.pyannote[825].speaker |
SPEAKER_07 |
transcript.pyannote[825].start |
6963.56721875 |
transcript.pyannote[825].end |
6984.15471875 |
transcript.pyannote[826].speaker |
SPEAKER_04 |
transcript.pyannote[826].start |
6982.38284375 |
transcript.pyannote[826].end |
6986.70284375 |
transcript.pyannote[827].speaker |
SPEAKER_07 |
transcript.pyannote[827].start |
6987.96846875 |
transcript.pyannote[827].end |
6988.10346875 |
transcript.pyannote[828].speaker |
SPEAKER_14 |
transcript.pyannote[828].start |
6988.10346875 |
transcript.pyannote[828].end |
6989.45346875 |
transcript.pyannote[829].speaker |
SPEAKER_07 |
transcript.pyannote[829].start |
6988.71096875 |
transcript.pyannote[829].end |
6991.36034375 |
transcript.pyannote[830].speaker |
SPEAKER_07 |
transcript.pyannote[830].start |
6991.42784375 |
transcript.pyannote[830].end |
7001.04659375 |
transcript.pyannote[831].speaker |
SPEAKER_07 |
transcript.pyannote[831].start |
7001.33346875 |
transcript.pyannote[831].end |
7005.46784375 |
transcript.pyannote[832].speaker |
SPEAKER_07 |
transcript.pyannote[832].start |
7005.61971875 |
transcript.pyannote[832].end |
7006.64909375 |
transcript.pyannote[833].speaker |
SPEAKER_07 |
transcript.pyannote[833].start |
7006.80096875 |
transcript.pyannote[833].end |
7068.88409375 |
transcript.pyannote[834].speaker |
SPEAKER_07 |
transcript.pyannote[834].start |
7069.17096875 |
transcript.pyannote[834].end |
7104.33846875 |
transcript.pyannote[835].speaker |
SPEAKER_07 |
transcript.pyannote[835].start |
7104.59159375 |
transcript.pyannote[835].end |
7113.82221875 |
transcript.pyannote[836].speaker |
SPEAKER_07 |
transcript.pyannote[836].start |
7114.53096875 |
transcript.pyannote[836].end |
7115.88096875 |
transcript.pyannote[837].speaker |
SPEAKER_07 |
transcript.pyannote[837].start |
7116.74159375 |
transcript.pyannote[837].end |
7121.65221875 |
transcript.pyannote[838].speaker |
SPEAKER_07 |
transcript.pyannote[838].start |
7122.09096875 |
transcript.pyannote[838].end |
7124.08221875 |
transcript.pyannote[839].speaker |
SPEAKER_07 |
transcript.pyannote[839].start |
7124.60534375 |
transcript.pyannote[839].end |
7125.55034375 |
transcript.pyannote[840].speaker |
SPEAKER_07 |
transcript.pyannote[840].start |
7125.75284375 |
transcript.pyannote[840].end |
7141.00784375 |
transcript.pyannote[841].speaker |
SPEAKER_07 |
transcript.pyannote[841].start |
7141.61534375 |
transcript.pyannote[841].end |
7183.97159375 |
transcript.pyannote[842].speaker |
SPEAKER_07 |
transcript.pyannote[842].start |
7185.06846875 |
transcript.pyannote[842].end |
7195.64909375 |
transcript.pyannote[843].speaker |
SPEAKER_07 |
transcript.pyannote[843].start |
7196.30721875 |
transcript.pyannote[843].end |
7214.86971875 |
transcript.pyannote[844].speaker |
SPEAKER_07 |
transcript.pyannote[844].start |
7215.76409375 |
transcript.pyannote[844].end |
7225.04534375 |
transcript.pyannote[845].speaker |
SPEAKER_07 |
transcript.pyannote[845].start |
7225.34909375 |
transcript.pyannote[845].end |
7240.16534375 |
transcript.pyannote[846].speaker |
SPEAKER_07 |
transcript.pyannote[846].start |
7240.41846875 |
transcript.pyannote[846].end |
7248.43409375 |
transcript.pyannote[847].speaker |
SPEAKER_07 |
transcript.pyannote[847].start |
7248.70409375 |
transcript.pyannote[847].end |
7263.11534375 |
transcript.pyannote[848].speaker |
SPEAKER_07 |
transcript.pyannote[848].start |
7263.35159375 |
transcript.pyannote[848].end |
7328.33721875 |
transcript.pyannote[849].speaker |
SPEAKER_07 |
transcript.pyannote[849].start |
7328.99534375 |
transcript.pyannote[849].end |
7371.03096875 |
transcript.pyannote[850].speaker |
SPEAKER_07 |
transcript.pyannote[850].start |
7371.38534375 |
transcript.pyannote[850].end |
7376.31284375 |
transcript.pyannote[851].speaker |
SPEAKER_07 |
transcript.pyannote[851].start |
7376.53221875 |
transcript.pyannote[851].end |
7378.33784375 |
transcript.pyannote[852].speaker |
SPEAKER_00 |
transcript.pyannote[852].start |
7377.07221875 |
transcript.pyannote[852].end |
7378.00034375 |
transcript.pyannote[853].speaker |
SPEAKER_07 |
transcript.pyannote[853].start |
7378.97909375 |
transcript.pyannote[853].end |
7383.14721875 |
transcript.pyannote[854].speaker |
SPEAKER_07 |
transcript.pyannote[854].start |
7383.70409375 |
transcript.pyannote[854].end |
7388.34471875 |
transcript.pyannote[855].speaker |
SPEAKER_07 |
transcript.pyannote[855].start |
7388.80034375 |
transcript.pyannote[855].end |
7388.81721875 |
transcript.pyannote[856].speaker |
SPEAKER_14 |
transcript.pyannote[856].start |
7388.81721875 |
transcript.pyannote[856].end |
7392.20909375 |
transcript.pyannote[857].speaker |
SPEAKER_14 |
transcript.pyannote[857].start |
7392.42846875 |
transcript.pyannote[857].end |
7395.06096875 |
transcript.pyannote[858].speaker |
SPEAKER_14 |
transcript.pyannote[858].start |
7395.78659375 |
transcript.pyannote[858].end |
7404.86534375 |
transcript.pyannote[859].speaker |
SPEAKER_02 |
transcript.pyannote[859].start |
7397.20409375 |
transcript.pyannote[859].end |
7397.22096875 |
transcript.pyannote[860].speaker |
SPEAKER_12 |
transcript.pyannote[860].start |
7397.22096875 |
transcript.pyannote[860].end |
7397.23784375 |
transcript.pyannote[861].speaker |
SPEAKER_06 |
transcript.pyannote[861].start |
7397.23784375 |
transcript.pyannote[861].end |
7400.88284375 |
transcript.pyannote[862].speaker |
SPEAKER_14 |
transcript.pyannote[862].start |
7405.21971875 |
transcript.pyannote[862].end |
7406.95784375 |
transcript.pyannote[863].speaker |
SPEAKER_14 |
transcript.pyannote[863].start |
7407.05909375 |
transcript.pyannote[863].end |
7419.42846875 |
transcript.pyannote[864].speaker |
SPEAKER_14 |
transcript.pyannote[864].start |
7420.25534375 |
transcript.pyannote[864].end |
7421.53784375 |
transcript.pyannote[865].speaker |
SPEAKER_03 |
transcript.pyannote[865].start |
7421.26784375 |
transcript.pyannote[865].end |
7428.25409375 |
transcript.pyannote[866].speaker |
SPEAKER_03 |
transcript.pyannote[866].start |
7429.55346875 |
transcript.pyannote[866].end |
7434.78471875 |
transcript.pyannote[867].speaker |
SPEAKER_00 |
transcript.pyannote[867].start |
7432.40534375 |
transcript.pyannote[867].end |
7433.72159375 |
transcript.pyannote[868].speaker |
SPEAKER_03 |
transcript.pyannote[868].start |
7435.25721875 |
transcript.pyannote[868].end |
7438.41284375 |
transcript.pyannote[869].speaker |
SPEAKER_03 |
transcript.pyannote[869].start |
7438.83471875 |
transcript.pyannote[869].end |
7440.74159375 |
transcript.pyannote[870].speaker |
SPEAKER_03 |
transcript.pyannote[870].start |
7441.16346875 |
transcript.pyannote[870].end |
7443.15471875 |
transcript.pyannote[871].speaker |
SPEAKER_03 |
transcript.pyannote[871].start |
7443.94784375 |
transcript.pyannote[871].end |
7445.46659375 |
transcript.pyannote[872].speaker |
SPEAKER_02 |
transcript.pyannote[872].start |
7445.44971875 |
transcript.pyannote[872].end |
7447.47471875 |
transcript.pyannote[873].speaker |
SPEAKER_03 |
transcript.pyannote[873].start |
7445.65221875 |
transcript.pyannote[873].end |
7457.97096875 |
transcript.pyannote[874].speaker |
SPEAKER_08 |
transcript.pyannote[874].start |
7447.47471875 |
transcript.pyannote[874].end |
7447.49159375 |
transcript.pyannote[875].speaker |
SPEAKER_02 |
transcript.pyannote[875].start |
7448.87534375 |
transcript.pyannote[875].end |
7449.33096875 |
transcript.pyannote[876].speaker |
SPEAKER_08 |
transcript.pyannote[876].start |
7454.93346875 |
transcript.pyannote[876].end |
7461.70034375 |
transcript.pyannote[877].speaker |
SPEAKER_06 |
transcript.pyannote[877].start |
7457.97096875 |
transcript.pyannote[877].end |
7458.03846875 |
transcript.pyannote[878].speaker |
SPEAKER_03 |
transcript.pyannote[878].start |
7458.03846875 |
transcript.pyannote[878].end |
7458.96659375 |
transcript.pyannote[879].speaker |
SPEAKER_06 |
transcript.pyannote[879].start |
7458.96659375 |
transcript.pyannote[879].end |
7462.30784375 |
transcript.pyannote[880].speaker |
SPEAKER_08 |
transcript.pyannote[880].start |
7462.24034375 |
transcript.pyannote[880].end |
7462.96596875 |
transcript.pyannote[881].speaker |
SPEAKER_03 |
transcript.pyannote[881].start |
7462.30784375 |
transcript.pyannote[881].end |
7464.95721875 |
transcript.pyannote[882].speaker |
SPEAKER_06 |
transcript.pyannote[882].start |
7462.96596875 |
transcript.pyannote[882].end |
7464.02909375 |
transcript.pyannote[883].speaker |
SPEAKER_14 |
transcript.pyannote[883].start |
7464.02909375 |
transcript.pyannote[883].end |
7466.22284375 |
transcript.pyannote[884].speaker |
SPEAKER_03 |
transcript.pyannote[884].start |
7465.15971875 |
transcript.pyannote[884].end |
7465.21034375 |
transcript.pyannote[885].speaker |
SPEAKER_03 |
transcript.pyannote[885].start |
7465.22721875 |
transcript.pyannote[885].end |
7465.24409375 |
transcript.pyannote[886].speaker |
SPEAKER_03 |
transcript.pyannote[886].start |
7465.26096875 |
transcript.pyannote[886].end |
7468.80471875 |
transcript.pyannote[887].speaker |
SPEAKER_03 |
transcript.pyannote[887].start |
7469.31096875 |
transcript.pyannote[887].end |
7476.92159375 |
transcript.pyannote[888].speaker |
SPEAKER_03 |
transcript.pyannote[888].start |
7477.22534375 |
transcript.pyannote[888].end |
7482.54096875 |
transcript.pyannote[889].speaker |
SPEAKER_03 |
transcript.pyannote[889].start |
7483.24971875 |
transcript.pyannote[889].end |
7489.34159375 |
transcript.pyannote[890].speaker |
SPEAKER_03 |
transcript.pyannote[890].start |
7490.64096875 |
transcript.pyannote[890].end |
7494.97784375 |
transcript.pyannote[891].speaker |
SPEAKER_08 |
transcript.pyannote[891].start |
7492.31159375 |
transcript.pyannote[891].end |
7493.07096875 |
transcript.pyannote[892].speaker |
SPEAKER_08 |
transcript.pyannote[892].start |
7493.40846875 |
transcript.pyannote[892].end |
7494.31971875 |
transcript.pyannote[893].speaker |
SPEAKER_08 |
transcript.pyannote[893].start |
7494.97784375 |
transcript.pyannote[893].end |
7495.02846875 |
transcript.pyannote[894].speaker |
SPEAKER_03 |
transcript.pyannote[894].start |
7495.02846875 |
transcript.pyannote[894].end |
7495.04534375 |
transcript.pyannote[895].speaker |
SPEAKER_08 |
transcript.pyannote[895].start |
7495.04534375 |
transcript.pyannote[895].end |
7498.03221875 |
transcript.pyannote[896].speaker |
SPEAKER_03 |
transcript.pyannote[896].start |
7496.02409375 |
transcript.pyannote[896].end |
7496.39534375 |
transcript.pyannote[897].speaker |
SPEAKER_14 |
transcript.pyannote[897].start |
7496.39534375 |
transcript.pyannote[897].end |
7496.42909375 |
transcript.pyannote[898].speaker |
SPEAKER_03 |
transcript.pyannote[898].start |
7496.42909375 |
transcript.pyannote[898].end |
7496.96909375 |
transcript.pyannote[899].speaker |
SPEAKER_14 |
transcript.pyannote[899].start |
7496.96909375 |
transcript.pyannote[899].end |
7497.01971875 |
transcript.pyannote[900].speaker |
SPEAKER_03 |
transcript.pyannote[900].start |
7497.01971875 |
transcript.pyannote[900].end |
7497.77909375 |
transcript.pyannote[901].speaker |
SPEAKER_03 |
transcript.pyannote[901].start |
7498.03221875 |
transcript.pyannote[901].end |
7498.04909375 |
transcript.pyannote[902].speaker |
SPEAKER_08 |
transcript.pyannote[902].start |
7498.04909375 |
transcript.pyannote[902].end |
7498.82534375 |
transcript.pyannote[903].speaker |
SPEAKER_03 |
transcript.pyannote[903].start |
7498.82534375 |
transcript.pyannote[903].end |
7498.97721875 |
transcript.pyannote[904].speaker |
SPEAKER_08 |
transcript.pyannote[904].start |
7498.97721875 |
transcript.pyannote[904].end |
7499.02784375 |
transcript.pyannote[905].speaker |
SPEAKER_03 |
transcript.pyannote[905].start |
7499.02784375 |
transcript.pyannote[905].end |
7499.73659375 |
transcript.pyannote[906].speaker |
SPEAKER_08 |
transcript.pyannote[906].start |
7499.34846875 |
transcript.pyannote[906].end |
7499.38221875 |
transcript.pyannote[907].speaker |
SPEAKER_14 |
transcript.pyannote[907].start |
7499.38221875 |
transcript.pyannote[907].end |
7499.58471875 |
transcript.pyannote[908].speaker |
SPEAKER_08 |
transcript.pyannote[908].start |
7499.58471875 |
transcript.pyannote[908].end |
7499.82096875 |
transcript.pyannote[909].speaker |
SPEAKER_14 |
transcript.pyannote[909].start |
7500.02346875 |
transcript.pyannote[909].end |
7503.43221875 |
transcript.pyannote[910].speaker |
SPEAKER_08 |
transcript.pyannote[910].start |
7501.05284375 |
transcript.pyannote[910].end |
7501.06971875 |
transcript.pyannote[911].speaker |
SPEAKER_03 |
transcript.pyannote[911].start |
7501.06971875 |
transcript.pyannote[911].end |
7503.38159375 |
transcript.pyannote[912].speaker |
SPEAKER_14 |
transcript.pyannote[912].start |
7504.09034375 |
transcript.pyannote[912].end |
7504.84971875 |
transcript.pyannote[913].speaker |
SPEAKER_03 |
transcript.pyannote[913].start |
7504.47846875 |
transcript.pyannote[913].end |
7507.80284375 |
transcript.pyannote[914].speaker |
SPEAKER_14 |
transcript.pyannote[914].start |
7504.90034375 |
transcript.pyannote[914].end |
7506.09846875 |
transcript.pyannote[915].speaker |
SPEAKER_14 |
transcript.pyannote[915].start |
7507.17846875 |
transcript.pyannote[915].end |
7508.15721875 |
transcript.pyannote[916].speaker |
SPEAKER_03 |
transcript.pyannote[916].start |
7508.96721875 |
transcript.pyannote[916].end |
7511.14409375 |
transcript.pyannote[917].speaker |
SPEAKER_03 |
transcript.pyannote[917].start |
7511.97096875 |
transcript.pyannote[917].end |
7515.43034375 |
transcript.pyannote[918].speaker |
SPEAKER_03 |
transcript.pyannote[918].start |
7516.05471875 |
transcript.pyannote[918].end |
7517.72534375 |
transcript.pyannote[919].speaker |
SPEAKER_03 |
transcript.pyannote[919].start |
7518.36659375 |
transcript.pyannote[919].end |
7520.49284375 |
transcript.pyannote[920].speaker |
SPEAKER_03 |
transcript.pyannote[920].start |
7520.76284375 |
transcript.pyannote[920].end |
7522.06221875 |
transcript.pyannote[921].speaker |
SPEAKER_03 |
transcript.pyannote[921].start |
7522.56846875 |
transcript.pyannote[921].end |
7523.07471875 |
transcript.pyannote[922].speaker |
SPEAKER_03 |
transcript.pyannote[922].start |
7524.39096875 |
transcript.pyannote[922].end |
7525.01534375 |
transcript.pyannote[923].speaker |
SPEAKER_03 |
transcript.pyannote[923].start |
7526.58471875 |
transcript.pyannote[923].end |
7527.09096875 |
transcript.pyannote[924].speaker |
SPEAKER_03 |
transcript.pyannote[924].start |
7528.91346875 |
transcript.pyannote[924].end |
7529.80784375 |
transcript.pyannote[925].speaker |
SPEAKER_03 |
transcript.pyannote[925].start |
7530.44909375 |
transcript.pyannote[925].end |
7549.97346875 |
transcript.pyannote[926].speaker |
SPEAKER_13 |
transcript.pyannote[926].start |
7549.36596875 |
transcript.pyannote[926].end |
7550.81721875 |
transcript.pyannote[927].speaker |
SPEAKER_03 |
transcript.pyannote[927].start |
7550.81721875 |
transcript.pyannote[927].end |
7553.17971875 |
transcript.pyannote[928].speaker |
SPEAKER_03 |
transcript.pyannote[928].start |
7553.70284375 |
transcript.pyannote[928].end |
7554.83346875 |
transcript.pyannote[929].speaker |
SPEAKER_03 |
transcript.pyannote[929].start |
7557.16221875 |
transcript.pyannote[929].end |
7566.46034375 |
transcript.pyannote[930].speaker |
SPEAKER_13 |
transcript.pyannote[930].start |
7557.19596875 |
transcript.pyannote[930].end |
7557.97221875 |
transcript.pyannote[931].speaker |
SPEAKER_00 |
transcript.pyannote[931].start |
7557.97221875 |
transcript.pyannote[931].end |
7559.96346875 |
transcript.pyannote[932].speaker |
SPEAKER_02 |
transcript.pyannote[932].start |
7559.96346875 |
transcript.pyannote[932].end |
7560.01409375 |
transcript.pyannote[933].speaker |
SPEAKER_00 |
transcript.pyannote[933].start |
7560.01409375 |
transcript.pyannote[933].end |
7560.04784375 |
transcript.pyannote[934].speaker |
SPEAKER_03 |
transcript.pyannote[934].start |
7566.76409375 |
transcript.pyannote[934].end |
7569.04221875 |
transcript.pyannote[935].speaker |
SPEAKER_03 |
transcript.pyannote[935].start |
7569.54846875 |
transcript.pyannote[935].end |
7570.51034375 |
transcript.pyannote[936].speaker |
SPEAKER_03 |
transcript.pyannote[936].start |
7572.04596875 |
transcript.pyannote[936].end |
7574.69534375 |
transcript.pyannote[937].speaker |
SPEAKER_03 |
transcript.pyannote[937].start |
7575.06659375 |
transcript.pyannote[937].end |
7576.19721875 |
transcript.pyannote[938].speaker |
SPEAKER_03 |
transcript.pyannote[938].start |
7576.50096875 |
transcript.pyannote[938].end |
7578.07034375 |
transcript.pyannote[939].speaker |
SPEAKER_03 |
transcript.pyannote[939].start |
7578.67784375 |
transcript.pyannote[939].end |
7579.52159375 |
transcript.pyannote[940].speaker |
SPEAKER_03 |
transcript.pyannote[940].start |
7579.63971875 |
transcript.pyannote[940].end |
7583.06534375 |
transcript.pyannote[941].speaker |
SPEAKER_03 |
transcript.pyannote[941].start |
7584.46596875 |
transcript.pyannote[941].end |
7585.14096875 |
transcript.pyannote[942].speaker |
SPEAKER_03 |
transcript.pyannote[942].start |
7587.25034375 |
transcript.pyannote[942].end |
7588.66784375 |
transcript.pyannote[943].speaker |
SPEAKER_03 |
transcript.pyannote[943].start |
7590.84471875 |
transcript.pyannote[943].end |
7591.63784375 |
transcript.pyannote[944].speaker |
SPEAKER_03 |
transcript.pyannote[944].start |
7591.82346875 |
transcript.pyannote[944].end |
7592.83596875 |
transcript.pyannote[945].speaker |
SPEAKER_03 |
transcript.pyannote[945].start |
7592.97096875 |
transcript.pyannote[945].end |
7594.60784375 |
transcript.pyannote[946].speaker |
SPEAKER_03 |
transcript.pyannote[946].start |
7594.96221875 |
transcript.pyannote[946].end |
7596.21096875 |
transcript.pyannote[947].speaker |
SPEAKER_03 |
transcript.pyannote[947].start |
7596.68346875 |
transcript.pyannote[947].end |
7597.44284375 |
transcript.pyannote[948].speaker |
SPEAKER_03 |
transcript.pyannote[948].start |
7598.25284375 |
transcript.pyannote[948].end |
7600.59846875 |
transcript.pyannote[949].speaker |
SPEAKER_03 |
transcript.pyannote[949].start |
7601.67846875 |
transcript.pyannote[949].end |
7604.66534375 |
transcript.pyannote[950].speaker |
SPEAKER_03 |
transcript.pyannote[950].start |
7605.55971875 |
transcript.pyannote[950].end |
7615.33034375 |
transcript.pyannote[951].speaker |
SPEAKER_03 |
transcript.pyannote[951].start |
7616.34284375 |
transcript.pyannote[951].end |
7616.84909375 |
transcript.pyannote[952].speaker |
SPEAKER_03 |
transcript.pyannote[952].start |
7617.74346875 |
transcript.pyannote[952].end |
7622.85659375 |
transcript.pyannote[953].speaker |
SPEAKER_03 |
transcript.pyannote[953].start |
7624.44284375 |
transcript.pyannote[953].end |
7627.22721875 |
transcript.pyannote[954].speaker |
SPEAKER_03 |
transcript.pyannote[954].start |
7627.31159375 |
transcript.pyannote[954].end |
7628.57721875 |
transcript.pyannote[955].speaker |
SPEAKER_03 |
transcript.pyannote[955].start |
7628.91471875 |
transcript.pyannote[955].end |
7631.47971875 |
transcript.pyannote[956].speaker |
SPEAKER_03 |
transcript.pyannote[956].start |
7631.74971875 |
transcript.pyannote[956].end |
7634.06159375 |
transcript.pyannote[957].speaker |
SPEAKER_03 |
transcript.pyannote[957].start |
7634.41596875 |
transcript.pyannote[957].end |
7635.44534375 |
transcript.pyannote[958].speaker |
SPEAKER_03 |
transcript.pyannote[958].start |
7636.20471875 |
transcript.pyannote[958].end |
7637.26784375 |
transcript.pyannote[959].speaker |
SPEAKER_03 |
transcript.pyannote[959].start |
7638.39846875 |
transcript.pyannote[959].end |
7646.09346875 |
transcript.pyannote[960].speaker |
SPEAKER_03 |
transcript.pyannote[960].start |
7647.02159375 |
transcript.pyannote[960].end |
7653.31596875 |
transcript.pyannote[961].speaker |
SPEAKER_03 |
transcript.pyannote[961].start |
7653.94034375 |
transcript.pyannote[961].end |
7655.02034375 |
transcript.pyannote[962].speaker |
SPEAKER_03 |
transcript.pyannote[962].start |
7655.64471875 |
transcript.pyannote[962].end |
7660.28534375 |
transcript.pyannote[963].speaker |
SPEAKER_14 |
transcript.pyannote[963].start |
7660.31909375 |
transcript.pyannote[963].end |
7661.16284375 |
transcript.pyannote[964].speaker |
SPEAKER_03 |
transcript.pyannote[964].start |
7661.16284375 |
transcript.pyannote[964].end |
7668.53721875 |
transcript.pyannote[965].speaker |
SPEAKER_14 |
transcript.pyannote[965].start |
7661.17971875 |
transcript.pyannote[965].end |
7661.29784375 |
transcript.pyannote[966].speaker |
SPEAKER_00 |
transcript.pyannote[966].start |
7668.53721875 |
transcript.pyannote[966].end |
7668.89159375 |
transcript.pyannote[967].speaker |
SPEAKER_03 |
transcript.pyannote[967].start |
7668.89159375 |
transcript.pyannote[967].end |
7680.04596875 |
transcript.pyannote[968].speaker |
SPEAKER_14 |
transcript.pyannote[968].start |
7681.19346875 |
transcript.pyannote[968].end |
7693.86659375 |
transcript.pyannote[969].speaker |
SPEAKER_14 |
transcript.pyannote[969].start |
7694.08596875 |
transcript.pyannote[969].end |
7696.41471875 |
transcript.pyannote[970].speaker |
SPEAKER_14 |
transcript.pyannote[970].start |
7697.39346875 |
transcript.pyannote[970].end |
7698.97971875 |
transcript.pyannote[971].speaker |
SPEAKER_08 |
transcript.pyannote[971].start |
7698.77721875 |
transcript.pyannote[971].end |
7912.24596875 |
transcript.pyannote[972].speaker |
SPEAKER_14 |
transcript.pyannote[972].start |
7699.68846875 |
transcript.pyannote[972].end |
7700.02596875 |
transcript.pyannote[973].speaker |
SPEAKER_08 |
transcript.pyannote[973].start |
7912.39784375 |
transcript.pyannote[973].end |
7913.35971875 |
transcript.pyannote[974].speaker |
SPEAKER_08 |
transcript.pyannote[974].start |
7914.01784375 |
transcript.pyannote[974].end |
7932.58034375 |
transcript.pyannote[975].speaker |
SPEAKER_08 |
transcript.pyannote[975].start |
7933.13721875 |
transcript.pyannote[975].end |
7951.26096875 |
transcript.pyannote[976].speaker |
SPEAKER_08 |
transcript.pyannote[976].start |
7952.07096875 |
transcript.pyannote[976].end |
7959.22596875 |
transcript.pyannote[977].speaker |
SPEAKER_08 |
transcript.pyannote[977].start |
7959.63096875 |
transcript.pyannote[977].end |
7972.82721875 |
transcript.pyannote[978].speaker |
SPEAKER_08 |
transcript.pyannote[978].start |
7973.40096875 |
transcript.pyannote[978].end |
7978.42971875 |
transcript.pyannote[979].speaker |
SPEAKER_08 |
transcript.pyannote[979].start |
7978.86846875 |
transcript.pyannote[979].end |
7982.63159375 |
transcript.pyannote[980].speaker |
SPEAKER_08 |
transcript.pyannote[980].start |
7983.23909375 |
transcript.pyannote[980].end |
7984.48784375 |
transcript.pyannote[981].speaker |
SPEAKER_14 |
transcript.pyannote[981].start |
7984.89284375 |
transcript.pyannote[981].end |
7990.03971875 |
transcript.pyannote[982].speaker |
SPEAKER_14 |
transcript.pyannote[982].start |
7992.40221875 |
transcript.pyannote[982].end |
7992.43596875 |
transcript.pyannote[983].speaker |
SPEAKER_02 |
transcript.pyannote[983].start |
7992.43596875 |
transcript.pyannote[983].end |
7993.71846875 |
transcript.pyannote[984].speaker |
SPEAKER_02 |
transcript.pyannote[984].start |
7993.97159375 |
transcript.pyannote[984].end |
7995.27096875 |
transcript.pyannote[985].speaker |
SPEAKER_02 |
transcript.pyannote[985].start |
7996.09784375 |
transcript.pyannote[985].end |
7999.43909375 |
transcript.pyannote[986].speaker |
SPEAKER_02 |
transcript.pyannote[986].start |
8000.19846875 |
transcript.pyannote[986].end |
8003.84346875 |
transcript.pyannote[987].speaker |
SPEAKER_02 |
transcript.pyannote[987].start |
8004.72096875 |
transcript.pyannote[987].end |
8006.94846875 |
transcript.pyannote[988].speaker |
SPEAKER_02 |
transcript.pyannote[988].start |
8008.29846875 |
transcript.pyannote[988].end |
8009.85096875 |
transcript.pyannote[989].speaker |
SPEAKER_02 |
transcript.pyannote[989].start |
8010.69471875 |
transcript.pyannote[989].end |
8012.12909375 |
transcript.pyannote[990].speaker |
SPEAKER_02 |
transcript.pyannote[990].start |
8012.66909375 |
transcript.pyannote[990].end |
8014.03596875 |
transcript.pyannote[991].speaker |
SPEAKER_02 |
transcript.pyannote[991].start |
8014.71096875 |
transcript.pyannote[991].end |
8015.92596875 |
transcript.pyannote[992].speaker |
SPEAKER_02 |
transcript.pyannote[992].start |
8018.72721875 |
transcript.pyannote[992].end |
8022.65909375 |
transcript.pyannote[993].speaker |
SPEAKER_02 |
transcript.pyannote[993].start |
8023.51971875 |
transcript.pyannote[993].end |
8028.32909375 |
transcript.pyannote[994].speaker |
SPEAKER_02 |
transcript.pyannote[994].start |
8029.64534375 |
transcript.pyannote[994].end |
8031.19784375 |
transcript.pyannote[995].speaker |
SPEAKER_02 |
transcript.pyannote[995].start |
8032.00784375 |
transcript.pyannote[995].end |
8037.30659375 |
transcript.pyannote[996].speaker |
SPEAKER_02 |
transcript.pyannote[996].start |
8038.70721875 |
transcript.pyannote[996].end |
8039.24721875 |
transcript.pyannote[997].speaker |
SPEAKER_02 |
transcript.pyannote[997].start |
8039.90534375 |
transcript.pyannote[997].end |
8043.28034375 |
transcript.pyannote[998].speaker |
SPEAKER_02 |
transcript.pyannote[998].start |
8043.85409375 |
transcript.pyannote[998].end |
8049.65909375 |
transcript.pyannote[999].speaker |
SPEAKER_02 |
transcript.pyannote[999].start |
8050.60409375 |
transcript.pyannote[999].end |
8052.66284375 |
transcript.pyannote[1000].speaker |
SPEAKER_02 |
transcript.pyannote[1000].start |
8053.01721875 |
transcript.pyannote[1000].end |
8055.24471875 |
transcript.pyannote[1001].speaker |
SPEAKER_02 |
transcript.pyannote[1001].start |
8056.12221875 |
transcript.pyannote[1001].end |
8060.32409375 |
transcript.pyannote[1002].speaker |
SPEAKER_02 |
transcript.pyannote[1002].start |
8061.16784375 |
transcript.pyannote[1002].end |
8063.81721875 |
transcript.pyannote[1003].speaker |
SPEAKER_02 |
transcript.pyannote[1003].start |
8064.98159375 |
transcript.pyannote[1003].end |
8069.80784375 |
transcript.pyannote[1004].speaker |
SPEAKER_02 |
transcript.pyannote[1004].start |
8069.97659375 |
transcript.pyannote[1004].end |
8071.14096875 |
transcript.pyannote[1005].speaker |
SPEAKER_02 |
transcript.pyannote[1005].start |
8072.91284375 |
transcript.pyannote[1005].end |
8076.45659375 |
transcript.pyannote[1006].speaker |
SPEAKER_02 |
transcript.pyannote[1006].start |
8077.62096875 |
transcript.pyannote[1006].end |
8079.47721875 |
transcript.pyannote[1007].speaker |
SPEAKER_02 |
transcript.pyannote[1007].start |
8080.79346875 |
transcript.pyannote[1007].end |
8082.54846875 |
transcript.pyannote[1008].speaker |
SPEAKER_02 |
transcript.pyannote[1008].start |
8083.15596875 |
transcript.pyannote[1008].end |
8085.11346875 |
transcript.pyannote[1009].speaker |
SPEAKER_02 |
transcript.pyannote[1009].start |
8085.19784375 |
transcript.pyannote[1009].end |
8086.98659375 |
transcript.pyannote[1010].speaker |
SPEAKER_02 |
transcript.pyannote[1010].start |
8088.01596875 |
transcript.pyannote[1010].end |
8092.52159375 |
transcript.pyannote[1011].speaker |
SPEAKER_02 |
transcript.pyannote[1011].start |
8092.80846875 |
transcript.pyannote[1011].end |
8094.05721875 |
transcript.pyannote[1012].speaker |
SPEAKER_02 |
transcript.pyannote[1012].start |
8094.44534375 |
transcript.pyannote[1012].end |
8095.69409375 |
transcript.pyannote[1013].speaker |
SPEAKER_02 |
transcript.pyannote[1013].start |
8096.87534375 |
transcript.pyannote[1013].end |
8097.97221875 |
transcript.pyannote[1014].speaker |
SPEAKER_02 |
transcript.pyannote[1014].start |
8099.06909375 |
transcript.pyannote[1014].end |
8099.67659375 |
transcript.pyannote[1015].speaker |
SPEAKER_02 |
transcript.pyannote[1015].start |
8100.62159375 |
transcript.pyannote[1015].end |
8102.27534375 |
transcript.pyannote[1016].speaker |
SPEAKER_02 |
transcript.pyannote[1016].start |
8103.15284375 |
transcript.pyannote[1016].end |
8103.82784375 |
transcript.pyannote[1017].speaker |
SPEAKER_02 |
transcript.pyannote[1017].start |
8104.16534375 |
transcript.pyannote[1017].end |
8110.00409375 |
transcript.pyannote[1018].speaker |
SPEAKER_02 |
transcript.pyannote[1018].start |
8110.78034375 |
transcript.pyannote[1018].end |
8113.09221875 |
transcript.pyannote[1019].speaker |
SPEAKER_02 |
transcript.pyannote[1019].start |
8113.46346875 |
transcript.pyannote[1019].end |
8116.45034375 |
transcript.pyannote[1020].speaker |
SPEAKER_02 |
transcript.pyannote[1020].start |
8116.97346875 |
transcript.pyannote[1020].end |
8134.01721875 |
transcript.pyannote[1021].speaker |
SPEAKER_02 |
transcript.pyannote[1021].start |
8134.54034375 |
transcript.pyannote[1021].end |
8146.45409375 |
transcript.pyannote[1022].speaker |
SPEAKER_02 |
transcript.pyannote[1022].start |
8147.24721875 |
transcript.pyannote[1022].end |
8148.09096875 |
transcript.pyannote[1023].speaker |
SPEAKER_02 |
transcript.pyannote[1023].start |
8148.46221875 |
transcript.pyannote[1023].end |
8151.70221875 |
transcript.pyannote[1024].speaker |
SPEAKER_02 |
transcript.pyannote[1024].start |
8152.34346875 |
transcript.pyannote[1024].end |
8154.14909375 |
transcript.pyannote[1025].speaker |
SPEAKER_02 |
transcript.pyannote[1025].start |
8154.73971875 |
transcript.pyannote[1025].end |
8160.42659375 |
transcript.pyannote[1026].speaker |
SPEAKER_02 |
transcript.pyannote[1026].start |
8160.84846875 |
transcript.pyannote[1026].end |
8162.55284375 |
transcript.pyannote[1027].speaker |
SPEAKER_02 |
transcript.pyannote[1027].start |
8162.73846875 |
transcript.pyannote[1027].end |
8166.13034375 |
transcript.pyannote[1028].speaker |
SPEAKER_02 |
transcript.pyannote[1028].start |
8166.68721875 |
transcript.pyannote[1028].end |
8167.02471875 |
transcript.pyannote[1029].speaker |
SPEAKER_02 |
transcript.pyannote[1029].start |
8167.32846875 |
transcript.pyannote[1029].end |
8168.72909375 |
transcript.pyannote[1030].speaker |
SPEAKER_02 |
transcript.pyannote[1030].start |
8169.75846875 |
transcript.pyannote[1030].end |
8170.48409375 |
transcript.pyannote[1031].speaker |
SPEAKER_02 |
transcript.pyannote[1031].start |
8172.23909375 |
transcript.pyannote[1031].end |
8173.69034375 |
transcript.pyannote[1032].speaker |
SPEAKER_02 |
transcript.pyannote[1032].start |
8174.92221875 |
transcript.pyannote[1032].end |
8177.58846875 |
transcript.pyannote[1033].speaker |
SPEAKER_02 |
transcript.pyannote[1033].start |
8179.74846875 |
transcript.pyannote[1033].end |
8186.02596875 |
transcript.pyannote[1034].speaker |
SPEAKER_02 |
transcript.pyannote[1034].start |
8186.88659375 |
transcript.pyannote[1034].end |
8187.96659375 |
transcript.pyannote[1035].speaker |
SPEAKER_02 |
transcript.pyannote[1035].start |
8188.25346875 |
transcript.pyannote[1035].end |
8192.03346875 |
transcript.pyannote[1036].speaker |
SPEAKER_02 |
transcript.pyannote[1036].start |
8192.60721875 |
transcript.pyannote[1036].end |
8194.41284375 |
transcript.pyannote[1037].speaker |
SPEAKER_02 |
transcript.pyannote[1037].start |
8195.69534375 |
transcript.pyannote[1037].end |
8197.26471875 |
transcript.pyannote[1038].speaker |
SPEAKER_02 |
transcript.pyannote[1038].start |
8198.19284375 |
transcript.pyannote[1038].end |
8200.28534375 |
transcript.pyannote[1039].speaker |
SPEAKER_02 |
transcript.pyannote[1039].start |
8200.84221875 |
transcript.pyannote[1039].end |
8203.99784375 |
transcript.pyannote[1040].speaker |
SPEAKER_02 |
transcript.pyannote[1040].start |
8204.52096875 |
transcript.pyannote[1040].end |
8210.57909375 |
transcript.pyannote[1041].speaker |
SPEAKER_02 |
transcript.pyannote[1041].start |
8211.08534375 |
transcript.pyannote[1041].end |
8212.30034375 |
transcript.pyannote[1042].speaker |
SPEAKER_02 |
transcript.pyannote[1042].start |
8212.73909375 |
transcript.pyannote[1042].end |
8214.35909375 |
transcript.pyannote[1043].speaker |
SPEAKER_02 |
transcript.pyannote[1043].start |
8217.39659375 |
transcript.pyannote[1043].end |
8218.91534375 |
transcript.pyannote[1044].speaker |
SPEAKER_02 |
transcript.pyannote[1044].start |
8220.29909375 |
transcript.pyannote[1044].end |
8222.77971875 |
transcript.pyannote[1045].speaker |
SPEAKER_02 |
transcript.pyannote[1045].start |
8223.03284375 |
transcript.pyannote[1045].end |
8226.50909375 |
transcript.pyannote[1046].speaker |
SPEAKER_02 |
transcript.pyannote[1046].start |
8227.47096875 |
transcript.pyannote[1046].end |
8228.71971875 |
transcript.pyannote[1047].speaker |
SPEAKER_02 |
transcript.pyannote[1047].start |
8229.96846875 |
transcript.pyannote[1047].end |
8234.01846875 |
transcript.pyannote[1048].speaker |
SPEAKER_02 |
transcript.pyannote[1048].start |
8234.76096875 |
transcript.pyannote[1048].end |
8236.65096875 |
transcript.pyannote[1049].speaker |
SPEAKER_02 |
transcript.pyannote[1049].start |
8237.71409375 |
transcript.pyannote[1049].end |
8238.97971875 |
transcript.pyannote[1050].speaker |
SPEAKER_02 |
transcript.pyannote[1050].start |
8239.82346875 |
transcript.pyannote[1050].end |
8244.00846875 |
transcript.pyannote[1051].speaker |
SPEAKER_02 |
transcript.pyannote[1051].start |
8244.93659375 |
transcript.pyannote[1051].end |
8245.91534375 |
transcript.pyannote[1052].speaker |
SPEAKER_02 |
transcript.pyannote[1052].start |
8246.45534375 |
transcript.pyannote[1052].end |
8248.48034375 |
transcript.pyannote[1053].speaker |
SPEAKER_02 |
transcript.pyannote[1053].start |
8250.06659375 |
transcript.pyannote[1053].end |
8251.82159375 |
transcript.pyannote[1054].speaker |
SPEAKER_02 |
transcript.pyannote[1054].start |
8252.42909375 |
transcript.pyannote[1054].end |
8253.72846875 |
transcript.pyannote[1055].speaker |
SPEAKER_02 |
transcript.pyannote[1055].start |
8255.01096875 |
transcript.pyannote[1055].end |
8266.03034375 |
transcript.pyannote[1056].speaker |
SPEAKER_02 |
transcript.pyannote[1056].start |
8266.28346875 |
transcript.pyannote[1056].end |
8269.15221875 |
transcript.pyannote[1057].speaker |
SPEAKER_02 |
transcript.pyannote[1057].start |
8270.55284375 |
transcript.pyannote[1057].end |
8273.84346875 |
transcript.pyannote[1058].speaker |
SPEAKER_02 |
transcript.pyannote[1058].start |
8274.21471875 |
transcript.pyannote[1058].end |
8276.32409375 |
transcript.pyannote[1059].speaker |
SPEAKER_02 |
transcript.pyannote[1059].start |
8276.66159375 |
transcript.pyannote[1059].end |
8280.03659375 |
transcript.pyannote[1060].speaker |
SPEAKER_02 |
transcript.pyannote[1060].start |
8280.61034375 |
transcript.pyannote[1060].end |
8285.03159375 |
transcript.pyannote[1061].speaker |
SPEAKER_02 |
transcript.pyannote[1061].start |
8285.11596875 |
transcript.pyannote[1061].end |
8286.02721875 |
transcript.pyannote[1062].speaker |
SPEAKER_02 |
transcript.pyannote[1062].start |
8286.41534375 |
transcript.pyannote[1062].end |
8287.49534375 |
transcript.pyannote[1063].speaker |
SPEAKER_02 |
transcript.pyannote[1063].start |
8288.20409375 |
transcript.pyannote[1063].end |
8289.28409375 |
transcript.pyannote[1064].speaker |
SPEAKER_02 |
transcript.pyannote[1064].start |
8289.85784375 |
transcript.pyannote[1064].end |
8290.60034375 |
transcript.pyannote[1065].speaker |
SPEAKER_02 |
transcript.pyannote[1065].start |
8291.41034375 |
transcript.pyannote[1065].end |
8293.21596875 |
transcript.pyannote[1066].speaker |
SPEAKER_02 |
transcript.pyannote[1066].start |
8293.85721875 |
transcript.pyannote[1066].end |
8297.94096875 |
transcript.pyannote[1067].speaker |
SPEAKER_02 |
transcript.pyannote[1067].start |
8298.83534375 |
transcript.pyannote[1067].end |
8300.69159375 |
transcript.pyannote[1068].speaker |
SPEAKER_02 |
transcript.pyannote[1068].start |
8301.83909375 |
transcript.pyannote[1068].end |
8303.02034375 |
transcript.pyannote[1069].speaker |
SPEAKER_02 |
transcript.pyannote[1069].start |
8303.47596875 |
transcript.pyannote[1069].end |
8304.26909375 |
transcript.pyannote[1070].speaker |
SPEAKER_02 |
transcript.pyannote[1070].start |
8304.94409375 |
transcript.pyannote[1070].end |
8306.04096875 |
transcript.pyannote[1071].speaker |
SPEAKER_02 |
transcript.pyannote[1071].start |
8306.63159375 |
transcript.pyannote[1071].end |
8307.88034375 |
transcript.pyannote[1072].speaker |
SPEAKER_02 |
transcript.pyannote[1072].start |
8308.06596875 |
transcript.pyannote[1072].end |
8308.50471875 |
transcript.pyannote[1073].speaker |
SPEAKER_02 |
transcript.pyannote[1073].start |
8308.82534375 |
transcript.pyannote[1073].end |
8309.85471875 |
transcript.pyannote[1074].speaker |
SPEAKER_02 |
transcript.pyannote[1074].start |
8310.31034375 |
transcript.pyannote[1074].end |
8313.76971875 |
transcript.pyannote[1075].speaker |
SPEAKER_02 |
transcript.pyannote[1075].start |
8314.44471875 |
transcript.pyannote[1075].end |
8317.92096875 |
transcript.pyannote[1076].speaker |
SPEAKER_02 |
transcript.pyannote[1076].start |
8318.25846875 |
transcript.pyannote[1076].end |
8319.47346875 |
transcript.pyannote[1077].speaker |
SPEAKER_02 |
transcript.pyannote[1077].start |
8320.30034375 |
transcript.pyannote[1077].end |
8321.11034375 |
transcript.pyannote[1078].speaker |
SPEAKER_02 |
transcript.pyannote[1078].start |
8321.97096875 |
transcript.pyannote[1078].end |
8325.36284375 |
transcript.pyannote[1079].speaker |
SPEAKER_02 |
transcript.pyannote[1079].start |
8326.69596875 |
transcript.pyannote[1079].end |
8328.53534375 |
transcript.pyannote[1080].speaker |
SPEAKER_02 |
transcript.pyannote[1080].start |
8329.64909375 |
transcript.pyannote[1080].end |
8330.62784375 |
transcript.pyannote[1081].speaker |
SPEAKER_02 |
transcript.pyannote[1081].start |
8331.13409375 |
transcript.pyannote[1081].end |
8332.09596875 |
transcript.pyannote[1082].speaker |
SPEAKER_02 |
transcript.pyannote[1082].start |
8333.09159375 |
transcript.pyannote[1082].end |
8347.97534375 |
transcript.pyannote[1083].speaker |
SPEAKER_14 |
transcript.pyannote[1083].start |
8347.09784375 |
transcript.pyannote[1083].end |
8348.14409375 |
transcript.pyannote[1084].speaker |
SPEAKER_02 |
transcript.pyannote[1084].start |
8347.99221875 |
transcript.pyannote[1084].end |
8348.02596875 |
transcript.pyannote[1085].speaker |
SPEAKER_02 |
transcript.pyannote[1085].start |
8348.04284375 |
transcript.pyannote[1085].end |
8351.26596875 |
transcript.pyannote[1086].speaker |
SPEAKER_14 |
transcript.pyannote[1086].start |
8351.26596875 |
transcript.pyannote[1086].end |
8371.60034375 |
transcript.pyannote[1087].speaker |
SPEAKER_02 |
transcript.pyannote[1087].start |
8352.64971875 |
transcript.pyannote[1087].end |
8353.61159375 |
transcript.pyannote[1088].speaker |
SPEAKER_14 |
transcript.pyannote[1088].start |
8438.07096875 |
transcript.pyannote[1088].end |
8441.98596875 |
transcript.pyannote[1089].speaker |
SPEAKER_14 |
transcript.pyannote[1089].start |
8443.79159375 |
transcript.pyannote[1089].end |
8453.12346875 |
transcript.pyannote[1090].speaker |
SPEAKER_06 |
transcript.pyannote[1090].start |
8449.61346875 |
transcript.pyannote[1090].end |
8450.08596875 |
transcript.pyannote[1091].speaker |
SPEAKER_06 |
transcript.pyannote[1091].start |
8454.06846875 |
transcript.pyannote[1091].end |
8454.08534375 |
transcript.pyannote[1092].speaker |
SPEAKER_14 |
transcript.pyannote[1092].start |
8454.08534375 |
transcript.pyannote[1092].end |
8454.11909375 |
transcript.pyannote[1093].speaker |
SPEAKER_06 |
transcript.pyannote[1093].start |
8454.11909375 |
transcript.pyannote[1093].end |
8454.32159375 |
transcript.pyannote[1094].speaker |
SPEAKER_14 |
transcript.pyannote[1094].start |
8454.32159375 |
transcript.pyannote[1094].end |
8454.42284375 |
transcript.pyannote[1095].speaker |
SPEAKER_06 |
transcript.pyannote[1095].start |
8454.42284375 |
transcript.pyannote[1095].end |
8454.55784375 |
transcript.pyannote[1096].speaker |
SPEAKER_14 |
transcript.pyannote[1096].start |
8454.55784375 |
transcript.pyannote[1096].end |
8454.92909375 |
transcript.pyannote[1097].speaker |
SPEAKER_14 |
transcript.pyannote[1097].start |
8459.04659375 |
transcript.pyannote[1097].end |
8474.58846875 |
transcript.pyannote[1098].speaker |
SPEAKER_14 |
transcript.pyannote[1098].start |
8474.97659375 |
transcript.pyannote[1098].end |
8482.33409375 |
transcript.pyannote[1099].speaker |
SPEAKER_14 |
transcript.pyannote[1099].start |
8482.84034375 |
transcript.pyannote[1099].end |
8488.94909375 |
transcript.pyannote[1100].speaker |
SPEAKER_14 |
transcript.pyannote[1100].start |
8489.60721875 |
transcript.pyannote[1100].end |
8498.36534375 |
transcript.pyannote[1101].speaker |
SPEAKER_03 |
transcript.pyannote[1101].start |
8499.10784375 |
transcript.pyannote[1101].end |
8500.10346875 |
transcript.pyannote[1102].speaker |
SPEAKER_03 |
transcript.pyannote[1102].start |
8500.91346875 |
transcript.pyannote[1102].end |
8536.99221875 |
transcript.pyannote[1103].speaker |
SPEAKER_03 |
transcript.pyannote[1103].start |
8537.27909375 |
transcript.pyannote[1103].end |
8538.51096875 |
transcript.pyannote[1104].speaker |
SPEAKER_03 |
transcript.pyannote[1104].start |
8539.00034375 |
transcript.pyannote[1104].end |
8552.02784375 |
transcript.pyannote[1105].speaker |
SPEAKER_03 |
transcript.pyannote[1105].start |
8552.43284375 |
transcript.pyannote[1105].end |
8559.01409375 |
transcript.pyannote[1106].speaker |
SPEAKER_03 |
transcript.pyannote[1106].start |
8559.48659375 |
transcript.pyannote[1106].end |
8565.22409375 |
transcript.pyannote[1107].speaker |
SPEAKER_03 |
transcript.pyannote[1107].start |
8565.39284375 |
transcript.pyannote[1107].end |
8569.05471875 |
transcript.pyannote[1108].speaker |
SPEAKER_03 |
transcript.pyannote[1108].start |
8569.25721875 |
transcript.pyannote[1108].end |
8586.43596875 |
transcript.pyannote[1109].speaker |
SPEAKER_03 |
transcript.pyannote[1109].start |
8586.97596875 |
transcript.pyannote[1109].end |
8589.03471875 |
transcript.pyannote[1110].speaker |
SPEAKER_03 |
transcript.pyannote[1110].start |
8589.52409375 |
transcript.pyannote[1110].end |
8592.07221875 |
transcript.pyannote[1111].speaker |
SPEAKER_03 |
transcript.pyannote[1111].start |
8592.44346875 |
transcript.pyannote[1111].end |
8593.20284375 |
transcript.pyannote[1112].speaker |
SPEAKER_03 |
transcript.pyannote[1112].start |
8593.86096875 |
transcript.pyannote[1112].end |
8597.32034375 |
transcript.pyannote[1113].speaker |
SPEAKER_03 |
transcript.pyannote[1113].start |
8597.50596875 |
transcript.pyannote[1113].end |
8606.90534375 |
transcript.pyannote[1114].speaker |
SPEAKER_03 |
transcript.pyannote[1114].start |
8608.12034375 |
transcript.pyannote[1114].end |
8614.24596875 |
transcript.pyannote[1115].speaker |
SPEAKER_03 |
transcript.pyannote[1115].start |
8614.93784375 |
transcript.pyannote[1115].end |
8617.35096875 |
transcript.pyannote[1116].speaker |
SPEAKER_03 |
transcript.pyannote[1116].start |
8617.62096875 |
transcript.pyannote[1116].end |
8618.73471875 |
transcript.pyannote[1117].speaker |
SPEAKER_03 |
transcript.pyannote[1117].start |
8619.73034375 |
transcript.pyannote[1117].end |
8621.56971875 |
transcript.pyannote[1118].speaker |
SPEAKER_03 |
transcript.pyannote[1118].start |
8621.83971875 |
transcript.pyannote[1118].end |
8629.92284375 |
transcript.pyannote[1119].speaker |
SPEAKER_03 |
transcript.pyannote[1119].start |
8630.53034375 |
transcript.pyannote[1119].end |
8638.93409375 |
transcript.pyannote[1120].speaker |
SPEAKER_14 |
transcript.pyannote[1120].start |
8638.93409375 |
transcript.pyannote[1120].end |
8645.71784375 |
transcript.pyannote[1121].speaker |
SPEAKER_09 |
transcript.pyannote[1121].start |
8646.07221875 |
transcript.pyannote[1121].end |
8654.03721875 |
transcript.pyannote[1122].speaker |
SPEAKER_09 |
transcript.pyannote[1122].start |
8654.10471875 |
transcript.pyannote[1122].end |
8657.78346875 |
transcript.pyannote[1123].speaker |
SPEAKER_09 |
transcript.pyannote[1123].start |
8658.15471875 |
transcript.pyannote[1123].end |
8710.02846875 |
transcript.pyannote[1124].speaker |
SPEAKER_09 |
transcript.pyannote[1124].start |
8710.34909375 |
transcript.pyannote[1124].end |
8714.19659375 |
transcript.pyannote[1125].speaker |
SPEAKER_09 |
transcript.pyannote[1125].start |
8714.39909375 |
transcript.pyannote[1125].end |
8715.52971875 |
transcript.pyannote[1126].speaker |
SPEAKER_09 |
transcript.pyannote[1126].start |
8715.73221875 |
transcript.pyannote[1126].end |
8717.65596875 |
transcript.pyannote[1127].speaker |
SPEAKER_09 |
transcript.pyannote[1127].start |
8717.89221875 |
transcript.pyannote[1127].end |
8723.98409375 |
transcript.pyannote[1128].speaker |
SPEAKER_09 |
transcript.pyannote[1128].start |
8724.13596875 |
transcript.pyannote[1128].end |
8726.24534375 |
transcript.pyannote[1129].speaker |
SPEAKER_09 |
transcript.pyannote[1129].start |
8726.51534375 |
transcript.pyannote[1129].end |
8736.11721875 |
transcript.pyannote[1130].speaker |
SPEAKER_09 |
transcript.pyannote[1130].start |
8736.18471875 |
transcript.pyannote[1130].end |
8751.42284375 |
transcript.pyannote[1131].speaker |
SPEAKER_14 |
transcript.pyannote[1131].start |
8753.02596875 |
transcript.pyannote[1131].end |
8756.04659375 |
transcript.pyannote[1132].speaker |
SPEAKER_13 |
transcript.pyannote[1132].start |
8758.03784375 |
transcript.pyannote[1132].end |
8761.17659375 |
transcript.pyannote[1133].speaker |
SPEAKER_13 |
transcript.pyannote[1133].start |
8761.78409375 |
transcript.pyannote[1133].end |
8765.27721875 |
transcript.pyannote[1134].speaker |
SPEAKER_13 |
transcript.pyannote[1134].start |
8765.68221875 |
transcript.pyannote[1134].end |
8768.65221875 |
transcript.pyannote[1135].speaker |
SPEAKER_13 |
transcript.pyannote[1135].start |
8769.02346875 |
transcript.pyannote[1135].end |
8774.23784375 |
transcript.pyannote[1136].speaker |
SPEAKER_13 |
transcript.pyannote[1136].start |
8774.64284375 |
transcript.pyannote[1136].end |
8780.66721875 |
transcript.pyannote[1137].speaker |
SPEAKER_13 |
transcript.pyannote[1137].start |
8781.20721875 |
transcript.pyannote[1137].end |
8796.58034375 |
transcript.pyannote[1138].speaker |
SPEAKER_13 |
transcript.pyannote[1138].start |
8797.10346875 |
transcript.pyannote[1138].end |
8812.03784375 |
transcript.pyannote[1139].speaker |
SPEAKER_13 |
transcript.pyannote[1139].start |
8812.30784375 |
transcript.pyannote[1139].end |
8820.77909375 |
transcript.pyannote[1140].speaker |
SPEAKER_13 |
transcript.pyannote[1140].start |
8824.40721875 |
transcript.pyannote[1140].end |
8824.69409375 |
transcript.pyannote[1141].speaker |
SPEAKER_14 |
transcript.pyannote[1141].start |
8824.69409375 |
transcript.pyannote[1141].end |
8824.76159375 |
transcript.pyannote[1142].speaker |
SPEAKER_14 |
transcript.pyannote[1142].start |
8829.14909375 |
transcript.pyannote[1142].end |
8840.08409375 |
transcript.whisperx[0].start |
1799.322 |
transcript.whisperx[0].end |
1811.451 |
transcript.whisperx[0].text |
好 謝謝時間已到 麻煩請議事處三位總召還沒有到國民黨團的總召副總召 民政總統總召柯總召來了 謝謝謝謝 |
transcript.whisperx[1].start |
1841.987 |
transcript.whisperx[1].end |
1844.671 |
transcript.whisperx[1].text |
好 我們等一下他們在路上馬上到了我們稍微等一下 |
transcript.whisperx[2].start |
1900.282 |
transcript.whisperx[2].end |
1905.194 |
transcript.whisperx[2].text |
好,謝謝欸,徐凱中到了黃總召在路上是嗎? |
transcript.whisperx[3].start |
1943.629 |
transcript.whisperx[3].end |
1958.481 |
transcript.whisperx[3].text |
好 謝謝 麻煩請柯總召 請就座好 藝術 謝謝藝術人員我們謝謝各位新聞界好朋友 謝謝好 我們現在開始正式開會好 謝謝好 各位黨鞭已到 |
transcript.whisperx[4].start |
1960.08 |
transcript.whisperx[4].end |
1981.572 |
transcript.whisperx[4].text |
黃總召可能在路上,我們就不再等了,時間已到我們首先今天歡迎我們列席的備詢的官員行政院的李副秘書長,熱情歡迎您還有能源檢探辦公室的吳主任,歡迎您中央選舉人會的李主委,歡迎您以及中選會的代表 |
transcript.whisperx[5].start |
1983.278 |
transcript.whisperx[5].end |
2008.632 |
transcript.whisperx[5].text |
謝謝 今天我們主要有三個題目要朝野協商第一題是中選會請本院推薦河山公投案的代表人第二題是因應國際情勢特別條例第三題是公平會組織法第一題的協商依中選會來函本院為河山公投案的政方依相關的規定本院要推薦五位代表人其中要保留一位給經中選會認可認可方 |
transcript.whisperx[6].start |
2013.15 |
transcript.whisperx[6].end |
2033.457 |
transcript.whisperx[6].text |
設立政方辦事處的民眾代表現在請就各黨團來表達意見如果大家有問題想請教我們中選會李主委的話咧那麼就請李主委隨時幫我們進行補充說明好 現在請問一下哪位黨團代表要首先來提出說明好 請柯總統請 |
transcript.whisperx[7].start |
2038.41 |
transcript.whisperx[7].end |
2052.004 |
transcript.whisperx[7].text |
有關於日本院推薦代表參加公投案21案的發表會或兵人會那這就全部由南白去推薦就可以了 |
transcript.whisperx[8].start |
2053.587 |
transcript.whisperx[8].end |
2061.692 |
transcript.whisperx[8].text |
謝謝柯總召,我們笑納了謝謝謝謝柯總召柯總召表示由國民黨臺灣民眾黨團推敗代表即可民進黨團沒有任何意見張啟凱委員請發言 |
transcript.whisperx[9].start |
2075.78 |
transcript.whisperx[9].end |
2104.839 |
transcript.whisperx[9].text |
國民黨團請準備這個河山研立公投是由台灣民眾黨所提出的那現在我們有成立了黃國章領銜的這個河山公投研立的這個公投的這個辦事處所以它應該會有一個名額就是這個辦事處嘛提案的 這個確認的那另外四個名額我們就請 跟國民黨我們會進一步來協商對 因為民進黨是反方嘛本來就不應該現在剛剛這個柯總在講所以另外四個名額就由民眾黨跟國民黨來協調那現在接下來比較 |
transcript.whisperx[10].start |
2106.02 |
transcript.whisperx[10].end |
2121.279 |
transcript.whisperx[10].text |
急著要處理這個問題是現在有五場嘛今天那個中選委主委、理事委有在場那個8月7號開始一共排了五個場次那這個到底是要辦說明會還是辯論會今天可能要先確認 |
transcript.whisperx[11].start |
2123.32 |
transcript.whisperx[11].end |
2143.765 |
transcript.whisperx[11].text |
八月七號一場 八月九號一場 八月十一號一場 八月十三號一場 八月十五號一場這是第一個 等一下先討論完因為推敗代表要知道他是來說明還是做辯論的所以請中選會等一下明確的把它講清楚那另外一個就是現在這個辦事處的這個名單 我看中選會給大家說要在 |
transcript.whisperx[12].start |
2145.493 |
transcript.whisperx[12].end |
2168.798 |
transcript.whisperx[12].text |
8月17號登場開始辯論或者是說明之前要在7月16號依法申請設立辦事處而且要完成報名那我們今天是不是請明確請中選會在7月16個辦事處成立完之後你在一定的時間內例如說可能是兩天還是三天你說7月16嘛18還是19的時候跟立法院跟我們的辦事處很清楚講說民間的辦事處有幾個成立 |
transcript.whisperx[13].start |
2170.25 |
transcript.whisperx[13].end |
2198.248 |
transcript.whisperx[13].text |
好不好 這兩個題今天這樣就很明確了謝謝齊凱兄的發言現在我們請國民黨團請發言剛剛我們所處理的第一個問題這個代表的問題我想這個柯總召難得表示禮讓因為他們本來就是站在反方所以我們由國民黨跟民眾黨共同來推舉 好不好我想大概就是這樣 |
transcript.whisperx[14].start |
2199.915 |
transcript.whisperx[14].end |
2203.777 |
transcript.whisperx[14].text |
我們現在請李主委能不能就張綺凱、張委員所提出來的問題可不可以請李主委來說明一下 |
transcript.whisperx[15].start |
2213.806 |
transcript.whisperx[15].end |
2234.006 |
transcript.whisperx[15].text |
好 謝謝院長 各位委員 各位總召這個有關於剛剛張委員所提的第一個問題到底是說明會 或者是辯論會這個就是我們有寄的這個回函 簽署的這個回函裡面申請書裡面 大概就請這個 |
transcript.whisperx[16].start |
2237.129 |
transcript.whisperx[16].end |
2255.376 |
transcript.whisperx[16].text |
衛黨團能夠表示意見大院表示意見到底你們是希望哪一種方式我們會尊重因為現在只有一方那如果沒有反方的話那大概也只能夠是說明會因為五位 |
transcript.whisperx[17].start |
2266.553 |
transcript.whisperx[17].end |
2273.196 |
transcript.whisperx[17].text |
我們給立法院是五個名額五個名額裡面有一個必須是設立辦事處給反方的部分是行政院我們給了兩個名額其他三個就是反對設立辦事處的人 |
transcript.whisperx[18].start |
2295.865 |
transcript.whisperx[18].end |
2319.505 |
transcript.whisperx[18].text |
那我們寄給各位的這個申請書裡面會有寄給各位的申請書就是你願意用說明會的方式或者是用辯論會的方式那只有在雙方都合意只有在雙方都合意的情形之下我們才會用辯論會的方式如果雙方沒有辦法達成合意的話那我們還是以辦理說明會為原則 |
transcript.whisperx[19].start |
2322.433 |
transcript.whisperx[19].end |
2339.098 |
transcript.whisperx[19].text |
謝謝李主委的說明非常清楚還有一點剛剛有提到辦事處就是實現以前如果成立的話我們隨時會把這個資訊提供給雙方主委你要掌握那個進度因為現在是民間都可以成立嘛900多個人就可以成立嘛 |
transcript.whisperx[20].start |
2339.818 |
transcript.whisperx[20].end |
2356.286 |
transcript.whisperx[20].text |
那現在變成你要去掌握他們要跟你報的時候你要趕快跟我們講那最晚最晚你說7月16號以前申報嘛所以你在最晚在7月16號16號的例如說隔一天隔兩天你要很明確的跟我們說要不然我們就不曉得到底涉犯了依法成立的話我們會立即把這個訊息提供給雙方 |
transcript.whisperx[21].start |
2357.406 |
transcript.whisperx[21].end |
2377.447 |
transcript.whisperx[21].text |
所以最晚我們你寫7月16號嘛對不對那最晚在7月18號之前一定要要跟立法院還要跟辦事處這邊通知好不好這要明確記下來喔最晚最晚7月18號好不好兩天好那謝謝李主委的說明謝謝喔那我們現在就嘗試一下來 |
transcript.whisperx[22].start |
2382.85 |
transcript.whisperx[22].end |
2396.765 |
transcript.whisperx[22].text |
我們現在把草稿發下去麻煩請主委也過目一下 看一下好不好如果沒有問題的話我們就達成共識了好 我們現在開始發一下根據剛才各位黨團所講的重點我們現在已經把它列為文字了 |
transcript.whisperx[23].start |
2399.56 |
transcript.whisperx[23].end |
2421.036 |
transcript.whisperx[23].text |
副總長,說到我們本來黃國昌領銜的河山原地公投的辦事處有一個額嘛另外有四個名額,他們就各兩個好了好不好,國民黨兩個民眾黨兩個直接就寫上去,因為民進黨沒有要參加,他們是反方各兩個可以嗎?可以齁,OK,那我們就把它寫進去好不好先唸一下 |
transcript.whisperx[24].start |
2447.219 |
transcript.whisperx[24].end |
2471.719 |
transcript.whisperx[24].text |
現在有沒有第一個成立那個理事會 理事會 不好意思 我請教一下我們現在是黃國昌的這個他領銜的這個河山嚴厲公投這個辦事處我們已經成立了嘛現在有沒有其他的現在民間到底有沒有人跟你沒有嘛 所以第一個就是我們喔 對不對所以所剩第一場的第一個我們就確認就是黃國昌領銜的河山嚴厲公投辦事處這第一個 |
transcript.whisperx[25].start |
2479.205 |
transcript.whisperx[25].end |
2479.405 |
transcript.whisperx[25].text |
我們請高處長來宣讀一遍 |
transcript.whisperx[26].start |
2497.318 |
transcript.whisperx[26].end |
2515.79 |
transcript.whisperx[26].text |
那個奉主席令我來念一下我們協商結論的草稿那等一下對內容有要修改的話都可以表示意見我們再配合主席的才是來進行修改決定事項一各黨團同意有關中央選舉委員會舉辦之全國性公民投票案第21案發表會或辯論會由國民黨黨團 |
transcript.whisperx[27].start |
2524.031 |
transcript.whisperx[27].end |
2547.174 |
transcript.whisperx[27].text |
其中四位代表人由國民黨黨團及台灣民眾黨黨團協調推薦請國民黨黨團及台灣民眾黨黨團共同於7月11日星期五中午12時前送交議事書會診,欲時適同放棄二、上述黨團指定參加場次以外所剩一場次應保留於依法最先經 |
transcript.whisperx[28].start |
2548.975 |
transcript.whisperx[28].end |
2561.421 |
transcript.whisperx[28].text |
許可設立辦事處支持意見代表者3.本案授權議事處於7月16日星期三以前將上述名單資料函送中央選舉委員會 |
transcript.whisperx[29].start |
2565.465 |
transcript.whisperx[29].end |
2581.848 |
transcript.whisperx[29].text |
問問各位黨團幹部針對我們現在這個草案有沒有保個意見剛副總召跟國民黨黨員說就各兩個嗎?要不要直接寫上去?把他直接寫上去吧第二點直接寫清楚就好 |
transcript.whisperx[30].start |
2598.953 |
transcript.whisperx[30].end |
2626.421 |
transcript.whisperx[30].text |
主席主席我可不可以再請教確認一個問題請陳昭總編請發言謝謝院長我想再確認一下就是在這個正方的這個辦事處這個部分因為目前我們是一名但是如果出現第二個第三個的時候這一名的代表性會出問題那我們是不是確定說就是 |
transcript.whisperx[31].start |
2627.481 |
transcript.whisperx[31].end |
2646.057 |
transcript.whisperx[31].text |
只有一個最優先的 這個先確定那另外我們剛剛是還沒有確定我們是五場都是一致性的嗎一定要都是說明會或發表會嗎還是可以交錯的是說明會交錯辯論會還是都要一致的還是我們等一下才會討論才會 |
transcript.whisperx[32].start |
2653.427 |
transcript.whisperx[32].end |
2680.387 |
transcript.whisperx[32].text |
李主委您需要再補充嗎?但我聽得是很清楚好 那五場都是要再做一個確認不同意就五場全部都是否決了好 我是再做確認 謝謝院長主委您看您要不要再補充?還是?好 謝謝行政院要不要很明確的表示你們是希望是那機場是說明會 那機場是辯論會 |
transcript.whisperx[33].start |
2682.932 |
transcript.whisperx[33].end |
2705.963 |
transcript.whisperx[33].text |
啊 那個 李子維 你現在初步 你是 暗網 暗網 說明會還是辯論會 目前都沒有一個機會都可以喔 都開放不是 啊 行政院現在要派代表 行政院現在剩下兩個 你剛才說行政院要派兩個嘛 對不對啊 行政院這兩個是要說明會還是辯論會 |
transcript.whisperx[34].start |
2710.595 |
transcript.whisperx[34].end |
2711.116 |
transcript.whisperx[34].text |
阿現在就在討東西 |
transcript.whisperx[35].start |
2717.538 |
transcript.whisperx[35].end |
2746.725 |
transcript.whisperx[35].text |
今天行政院有代表啊因為中選會不能代表行政院派的那個代表立場所以這個細節是行政院那個代表剛剛韓院長也說他聽得很清楚不能讓韓院長來解釋好了非常清楚嘛等他們那個另外幾位代表出來之後他們中選會再協調嘛如果對方不同意辯論就全部變成說明會這已經非常清楚了 |
transcript.whisperx[36].start |
2748.866 |
transcript.whisperx[36].end |
2773.644 |
transcript.whisperx[36].text |
對不起院長我補充說明一下可能要做更正一下就是我們有五場這五場並不是說全部一場是辯論會全部都是辯論會一場說明會全部都是不是可以就各場有不同的方式你第一場雙方同意辯論我們就辦辯論第二場大家不辯論了說明我們就說明是可以不一樣的 |
transcript.whisperx[37].start |
2775.031 |
transcript.whisperx[37].end |
2800.57 |
transcript.whisperx[37].text |
你要徵詢對方的那個代表出來的意見嘛這個應該是非常清楚的啦要徵詢對方的意見代表所以他現在不能夠把話講得非常的具體不然代表出現他們自己去處理對 他們會自己處理那現在這樣子齁張其凱 張委員跟你特別報告一下其實我們現在我請高處長再唸一下差別就是由國民黨團跟台灣民主黨團各推薦兩位代表我們直接把它文字化了那國民黨團有意見嗎 |
transcript.whisperx[38].start |
2801.621 |
transcript.whisperx[38].end |
2805.47 |
transcript.whisperx[38].text |
沒有意見,好,我就把它文字化好,謝謝我們民進黨團的已經簽了現在請國民黨團跟台灣民眾黨團請簽,好嗎? |
transcript.whisperx[39].start |
2858.763 |
transcript.whisperx[39].end |
2875.598 |
transcript.whisperx[39].text |
好 謝謝我們剛剛針對第一案我想我們決定事項再念一遍給各位聽一下一個黨團同意有關中央選舉委員會舉辦之全國性公民投票案第21案發表會或辯論會由國民黨團及台灣民眾黨團各推薦兩位代表 |
transcript.whisperx[40].start |
2877.179 |
transcript.whisperx[40].end |
2904.657 |
transcript.whisperx[40].text |
請國民黨團及臺灣民眾黨團共同於7月11日星期五中午12點前交議事處來會診預時視同放棄二、上訴黨團指定參加場次之外所剩一場是應該保留與依法最先經許可設立辦事處之支持意見的代表者三、本案授權議事處於7月16日星期三以前將上訴名單資料函送中央選舉委員會 |
transcript.whisperx[41].start |
2906.718 |
transcript.whisperx[41].end |
2915.745 |
transcript.whisperx[41].text |
好,各黨團幹部沒有意見,我們都已經協同代表,非常感謝大家,好,謝謝。那李主任謝謝啊,謝謝啊,謝謝大家,謝謝。 |
transcript.whisperx[42].start |
2936.842 |
transcript.whisperx[42].end |
2938.287 |
transcript.whisperx[42].text |
我先介紹一下先 |
transcript.whisperx[43].start |
2973.953 |
transcript.whisperx[43].end |
2974.701 |
transcript.whisperx[43].text |
它這個靈丹是都會冷的 |
transcript.whisperx[44].start |
3036.325 |
transcript.whisperx[44].end |
3039.84 |
transcript.whisperx[44].text |
好 謝謝各位列席官員 請坐好 請坐 請坐 |
transcript.whisperx[45].start |
3085.601 |
transcript.whisperx[45].end |
3097.012 |
transcript.whisperx[45].text |
好 謝謝啦那個各部會列席的官員隔壁還有一個休息室嘛請大家不要站在這邊 這個會不好開了這樣人太多了 好不好來 請疏散一下 |
transcript.whisperx[46].start |
3123.629 |
transcript.whisperx[46].end |
3129.714 |
transcript.whisperx[46].text |
好 謝謝 來來來 左前方那個 請到隔壁休息室去休息好不好我們看著現場直播一樣嘛 |
transcript.whisperx[47].start |
3137.639 |
transcript.whisperx[47].end |
3159.961 |
transcript.whisperx[47].text |
好 謝謝 謝謝跟各黨團幹部來報告一下我們現在進入第二案因應國際情勢強化經濟社會及國土安全任性特別條例案以本案經濟委員會於114年5月14日及21日分別舉行第十一屆第三會期經濟財政兩委會第一次及第二次聯席會議進行審查 |
transcript.whisperx[48].start |
3162.503 |
transcript.whisperx[48].end |
3183.838 |
transcript.whisperx[48].text |
2、委員會審查結論行政院各黨團及委員共所提的10案所有的法案名稱條文並同修正兩案及附帶決議兩項均保留送院會處理3、本案於6月17日由謝一鳳召集委員召集黨團協商結論行政院各黨團及委員所提12案 |
transcript.whisperx[49].start |
3184.759 |
transcript.whisperx[49].end |
3208.848 |
transcript.whisperx[49].text |
所有法案名稱及條文並同修正動議三案及附帶決議兩項均保留並請院長來召集協商今天我們首先來介紹與會的所有行政院列席的官員首先我們歡迎經濟部郭部長謝謝再來財政部的阮次長謝謝再來勞動部的陳次長歡迎您 |
transcript.whisperx[50].start |
3215.327 |
transcript.whisperx[50].end |
3243.436 |
transcript.whisperx[50].text |
農業部的胡市長 歡迎您教育部的鄭部長 歡迎您工程委員會的陳副主委 歡迎您國防部的柏副部長 歡迎您海洋委員會的張副主委 歡迎您交通部的公共運輸 胡副市長 歡迎您 |
transcript.whisperx[51].start |
3244.933 |
transcript.whisperx[51].end |
3268.207 |
transcript.whisperx[51].text |
內政部的董事長 歡迎您衛生福利部的邱部長 歡迎您原住民委員會的曾主委 歡迎主委國家發展委員會的高副主委 歡迎您行政院主席總處陳主席長 歡迎您法務部謝副司長 歡迎您請坐 |
transcript.whisperx[52].start |
3271.988 |
transcript.whisperx[52].end |
3280.907 |
transcript.whisperx[52].text |
好 各位黨團幹部我們現在針對保留法案的名稱我們現在開始進行討論能不能先請經濟部能不能幫忙說明一下 |
transcript.whisperx[53].start |
3283.899 |
transcript.whisperx[53].end |
3311.406 |
transcript.whisperx[53].text |
韓院長 各位委員 大家好大院經濟委員會於114年5月14日及21日分別舉行委員會審查本條例另6月17日由謝義鳳召委召集黨團協商由於國民黨民眾黨黨團及委員提案皆主張一 納入普發現金二 不贊成納入強化國土安全任性措施三 不贊成挹注台電與行政院版 |
transcript.whisperx[54].start |
3311.966 |
transcript.whisperx[54].end |
3330.42 |
transcript.whisperx[54].text |
及民進黨委員提案方向不一致故審查及協商結論皆為所有法案名稱及條文並同修正動議及附帶決議均保留以下僅就普發現金強化國土安全韌性抑制台電等相關議題進行說明一 |
transcript.whisperx[55].start |
3332.682 |
transcript.whisperx[55].end |
3358.682 |
transcript.whisperx[55].text |
普發現金是否納入本條例普發現金雖然有短暫的效益但並不是解決問題的最好方法反而有可能分散政府的支持力度現階段應該要集中國家資源全力支持最需要的產業與國人建議不納入本條例二 強化國土安全韌性這個措施是否已納入本條例 |
transcript.whisperx[56].start |
3359.483 |
transcript.whisperx[56].end |
3381.497 |
transcript.whisperx[56].text |
面對今年國際及區域安全情勢趨於嚴峻國土安全威脅太陽日益多元且複雜現有資源以應變能力面臨挑戰國土安全任性有其急迫及必要性建議納入本條例三是否應以本條例編列預算預注台電台電從 |
transcript.whisperx[57].start |
3383.158 |
transcript.whisperx[57].end |
3396.973 |
transcript.whisperx[57].text |
1年至113年已經先行吸收民生級產業電價緩漲成本近6000億元在之前政府召開的產業座談會中也有許多業者都提到不希望再調漲電價 |
transcript.whisperx[58].start |
3398.835 |
transcript.whisperx[58].end |
3428.155 |
transcript.whisperx[58].text |
若能撥補台電將可改善台電財務狀況避免產業同時遭關稅匯率及電價的衝擊建議以本條例編制預算預祝台電中上所述行政院版以通盤考量強化經濟社會國土安全任性等面向對於產業及國人實際需要給予支持建請大院支持行政院版特別條例 |
transcript.whisperx[59].start |
3429.655 |
transcript.whisperx[59].end |
3429.735 |
transcript.whisperx[59].text |
國民黨團請準備 |
transcript.whisperx[60].start |
3446.581 |
transcript.whisperx[60].end |
3462.539 |
transcript.whisperx[60].text |
好我就先行来发言大家希望今天能够充分正向的交换意见首先这整个条例从草案名称到内容当初委员会也好或者是党团协商也好是全数保留的 |
transcript.whisperx[61].start |
3463.059 |
transcript.whisperx[61].end |
3481.304 |
transcript.whisperx[61].text |
所以今天的朝野协商就非常重要我们无论如何民进党团非常希望立法院不能成为表决院不能够凡事就是协商过个水然后就表决然后呢在表决之前的意见交换发言也应当被充分保 |
transcript.whisperx[62].start |
3482.186 |
transcript.whisperx[62].end |
3504.963 |
transcript.whisperx[62].text |
保障那第三個我們也不希望又像之前一樣在表決的最後一刻才又拿到我們在協商在會議中都沒有看到的這種所謂比較特別的黑箱條文我們希望這個案例這個案子全國都非常重要尤其民脂民膏4100億非常重要所以這是一個重要的前提 |
transcript.whisperx[63].start |
3505.763 |
transcript.whisperx[63].end |
3534.048 |
transcript.whisperx[63].text |
那我分幾點來說明第一個這整個4100億是用我們預算的稅計剩餘來使用的稅計剩餘就是當我們拼經濟有成讓經濟發展的紅利稅收是全民均享的也就是稅計剩餘取之於民用之於民讓經濟發展的紅利是分分毫毫都讓全民均享這也是在野黨的委員一再的要求的 |
transcript.whisperx[64].start |
3534.588 |
transcript.whisperx[64].end |
3556.763 |
transcript.whisperx[64].text |
所以這整個條例的裁員 稅計勝於全民共享 這個沒有問題第二個 預算權就是行政權那剛剛說的稅計勝於行政院拿來全民共享 要用在哪些面向上那行政權可以基於他認為現在施政迫切的項目來予以編定 |
transcript.whisperx[65].start |
3558.044 |
transcript.whisperx[65].end |
3576.197 |
transcript.whisperx[65].text |
所以預算權是行政權所以行政院端出了4100億從我們的保障我們的產業發展扶植產業在面對關稅的衝擊以及在顧民生同樣面對國際經濟巨幅的巨動之下要守護民生所以撥補台電 |
transcript.whisperx[66].start |
3577.618 |
transcript.whisperx[66].end |
3603.405 |
transcript.whisperx[66].text |
這是守護民生也包括照顧弱勢第三大塊就是現在眼前國家最迫切需要的基於我們的境外敵對勢力一再的軍事威嚇跟侵擾我們必須把國土安全做到全方位的窮盡一切努力來加強國家的安全防衛所以說行政權決定了我們要善用稅計剩餘用在這三個面向所以各有 |
transcript.whisperx[67].start |
3604.106 |
transcript.whisperx[67].end |
3611.784 |
transcript.whisperx[67].text |
三個數字的預算加總起來4100億所以行政權決定了預算的支用方向那我們立法院 |
transcript.whisperx[68].start |
3612.768 |
transcript.whisperx[68].end |
3639.601 |
transcript.whisperx[68].text |
基於監督我們可以理性來對話哪些部分也許要刪減那要切記啊立法權是沒有增加預算的權利的這個是憲法的規定不需要再贅述了所以說回應到哪些的政策所需是現在台灣國家社會最需要的就是三個面向顧經濟顧民生顧國家安全三部分 |
transcript.whisperx[69].start |
3640.649 |
transcript.whisperx[69].end |
3651.509 |
transcript.whisperx[69].text |
那我是覺得不太能夠理解當我們看到就從條文的名稱來看好了行政院的版本就是三合一嘛 |
transcript.whisperx[70].start |
3652.466 |
transcript.whisperx[70].end |
3671.815 |
transcript.whisperx[70].text |
三合一就是強化經濟社會就是經濟安全社會安全乃至於國土安全三項三合一吹不可但如果就條文名稱還有包括重點的第三條一些項目的致用來看我們看到國民黨的委員的版本是說要因應國際情勢要夠經濟 |
transcript.whisperx[71].start |
3674.557 |
transcript.whisperx[71].end |
3685.861 |
transcript.whisperx[71].text |
要夠社會民心要還有民眾消費的韌性這是國民黨特別彰顯了民眾消費的韌性而民眾黨呢是針對國際情勢要強化經濟社會韌性一樣講到經濟社會韌性也就是拼經濟跟顧民生 |
transcript.whisperx[72].start |
3693.524 |
transcript.whisperx[72].end |
3709.031 |
transcript.whisperx[72].text |
那如果大家都認為民進黨執政黨三個重要裡面你們都認為其中的兩項是非常重要的話也就是經濟跟民生的話那麼就請支持台電的1000億因為台電的1000億它兼顧了協助產業幫助產業在這一波國際的經濟的變動之下它能夠不增加它的生產成本它能夠藉由台電的撥補來藉由電價 |
transcript.whisperx[73].start |
3723.017 |
transcript.whisperx[73].end |
3742.907 |
transcript.whisperx[73].text |
能够因此而稳定了整个物价所以说这是产业需要的也是社会安定的民众需要的所以这段时间这么多的工商团体都站出来呼吁恳请在野党的委员们看到这1000亿拨补台电能够稳定民生 |
transcript.whisperx[74].start |
3744.027 |
transcript.whisperx[74].end |
3759.855 |
transcript.whisperx[74].text |
穩定社會跟扶植產業的重要性請在野黨的委員不要刪除不要刪減不要挪為他用所以如果就你們所彰顯的執政黨是三合一的重要目標你們認為其中的兩項也是你們要兼顧的話那麼顧經濟又顧民生那台電的這一千億當然要支持好那再下來一點就是 |
transcript.whisperx[75].start |
3769.682 |
transcript.whisperx[75].end |
3793.858 |
transcript.whisperx[75].text |
歧义比较大的也就是执政团队一再的认为现在面对境外敌对势力的侵扰我们的国土安全是最最重要的不可偏废不可缺掉这一块所以再次呼吁国土安全是国家安全是社会安定是经济产业发展的根本根基 |
transcript.whisperx[76].start |
3795.818 |
transcript.whisperx[76].end |
3804.044 |
transcript.whisperx[76].text |
這絕對也跟我們要顧好整個在國際的劇烈的經濟變動當中我們要站穩腳步的重中之重 |
transcript.whisperx[77].start |
3804.574 |
transcript.whisperx[77].end |
3825.499 |
transcript.whisperx[77].text |
那是沒安全什麼都沒有啦沒國家的安全就沒經濟安全沒國家的安全就沒民生的安全所以說這個部分國土安全這一塊一千五百億一再的被在野黨的委員一再的表達要刪除要挪為普發現金之用 |
transcript.whisperx[78].start |
3826.26 |
transcript.whisperx[78].end |
3842.122 |
transcript.whisperx[78].text |
這一點執政黨要再一次懇請大家聽到國人的需求還有包括這1500億是用在國軍的基礎設備的提升我們為軍人加薪但是不給他們精良的武器配備 |
transcript.whisperx[79].start |
3843.906 |
transcript.whisperx[79].end |
3863.971 |
transcript.whisperx[79].text |
這是什麼邏輯所以提升國軍的設施配備的優化這是其中一部分第二部分我們的資訊安全資通安全台灣面對的全球性的認知衝擊認知作戰乃至於資訊安全的整個 |
transcript.whisperx[80].start |
3865.29 |
transcript.whisperx[80].end |
3893.433 |
transcript.whisperx[80].text |
我們要再精進這筆預算需要之用而第三大塊我相信大家看到今天行政院的記者會我們多少的海巡弟兄在第一線為台灣的安全在進行用四名的保護台灣的安全這一檔的委員一再要求海巡的船隻設備連這個密錄器都要強化連所有的海巡弟兄的安全配備執法要用的 |
transcript.whisperx[81].start |
3894.133 |
transcript.whisperx[81].end |
3918.218 |
transcript.whisperx[81].text |
都要跟著提升那為什麼不支持這1500億的國土安全的預算所以說呢國土安全這一塊絕對是重中之重如果1500億挪了台電的1000億挪了只是為了fulfill在野黨委員一再主張的想要普發現金不論是民眾黨的人人6000或是國民黨的人人1萬 |
transcript.whisperx[82].start |
3919.378 |
transcript.whisperx[82].end |
3930.442 |
transcript.whisperx[82].text |
都會去稀釋掉都會去分散掉都會去剝奪掉國土安全跟民生社會安全的預算所用所以就整個條文來講 |
transcript.whisperx[83].start |
3932.322 |
transcript.whisperx[83].end |
3952.667 |
transcript.whisperx[83].text |
執政黨希望三合一缺一不可國土安全經濟安全跟社會安全那請在野黨的委員國土安全是我們最大的歧義而第二大部分你們如果都認為經濟安全跟社會安全是重要的那麼台電這一千億為什麼也要挪用呢 |
transcript.whisperx[84].start |
3953.507 |
transcript.whisperx[84].end |
3978.12 |
transcript.whisperx[84].text |
那最後一項普發現金再一次懇切的說這只有短期的效用而對於經濟的振興實在是沒有學理上實務上的支撐只是為了短期的普發現金那個對於經濟面社會面的正向效益並沒有如各位所想的那麼的好 |
transcript.whisperx[85].start |
3978.76 |
transcript.whisperx[85].end |
4003.562 |
transcript.whisperx[85].text |
但是它的代價是傷害了犧牲了國土安全犧牲了我們的台電可能會漲了電價漲了電價在野黨的委員能負責嗎民生萬物起漲在野黨的委員能負責嗎如果我們的國土安全有了漏洞我們的國土安全讓境外敵對勢力有機可乘在野黨的委員能夠負責嗎所以不要抗國家之慨 |
transcript.whisperx[86].start |
4004.929 |
transcript.whisperx[86].end |
4032.022 |
transcript.whisperx[86].text |
不要抗國家之慨大撒幣是沒有辦法解決我們現在面對的國際的強大的競爭所以4100億缺一不可不要因為2300億的發放現金而犧牲了國土安全跟社會安全那我一次做綜合性的發言因為條文大概就是扣合的這些重點謝謝謝謝吳斯堯委員的說明接下來我們請富坤齊總召請說明台灣民眾黨團請準備 |
transcript.whisperx[87].start |
4037.106 |
transcript.whisperx[87].end |
4054.198 |
transcript.whisperx[87].text |
謝謝主席我想在這段時間民進黨招待了賴總統招待了這麼多國民黨的立委他在國會跟選區之間奔波但是我們心中永遠 |
transcript.whisperx[88].start |
4056.02 |
transcript.whisperx[88].end |
4063.871 |
transcript.whisperx[88].text |
沒有忘記我們該支持的人民所以今天院長召集的這個國際因應國際局勢的這個經濟振興條例本黨團全數出席 |
transcript.whisperx[89].start |
4071.706 |
transcript.whisperx[89].end |
4097.403 |
transcript.whisperx[89].text |
剛剛又再一次聽到執政黨 民進黨在開始給大家做一個不實的教育我們在這裡要再一次的重申從第一次美國總統川普所提出的世界的這個關稅懲罰性的這個砸刀之後行政院所提出來的880億 |
transcript.whisperx[90].start |
4100.627 |
transcript.whisperx[90].end |
4129.138 |
transcript.whisperx[90].text |
當時在行政院協商的時候當天柯總召不讓我坐在位子上的那一次很清楚我就表達這個八百八十億是完全不敷使用對國內的產業振興八百八十億是完全不夠的我想在那天的會議上面一樣的黨團代表執政黨很堅定地告訴我們八百八十億就夠了 |
transcript.whisperx[91].start |
4131.28 |
transcript.whisperx[91].end |
4159.145 |
transcript.whisperx[91].text |
然後隔了短短沒有幾週的時間又丟出一個4100億出來我想怎麼樣去使用公帑才是用在刀口上因為既然是特別預算當然是比較急迫性的預算而且必須要用舉債的方式或是用稅基剩餘那特別在這裡跟大家起來交換意見這個條例既然有它的急迫性 |
transcript.whisperx[92].start |
4160.509 |
transcript.whisperx[92].end |
4183.594 |
transcript.whisperx[92].text |
我們當然要即刻的來審查那執政黨如果已經做好了相關的準備我想這個條例的溝通應該是很快速的所以從880億跳到4100億過程當中一直沒有跟國內有一個清楚的說明為什麼當時斬金解鐵說國內的振興只要881台幣就夠了 |
transcript.whisperx[93].start |
4186.877 |
transcript.whisperx[93].end |
4212.352 |
transcript.whisperx[93].text |
光台積電去美國就兩千億美金六兆台幣為什麼我們國內的振興只好區區的這個八百八十億鄭如同今天坐在這裡的郭志輝部長還說要從政府再集資兩千億美金到美國去投資又是一筆六兆台幣但是在不斷的聲明投資美國的此時 |
transcript.whisperx[94].start |
4213.7 |
transcript.whisperx[94].end |
4229.172 |
transcript.whisperx[94].text |
到底我們對國內的產業的支持到底在哪裡從一開始的投資美國郭部長說要投資美國2000億美金由政府出錢6兆台幣投資美國但對國內的產業振興880億接著過來880億接下來現在 |
transcript.whisperx[95].start |
4238.835 |
transcript.whisperx[95].end |
4255.646 |
transcript.whisperx[95].text |
4100億但是我們縱觀內部送過來的這些預算裡面前前後後只有一個支持勞工安定這個部分大概前前後後我們現在給他算一算從888變成930億 |
transcript.whisperx[96].start |
4261.536 |
transcript.whisperx[96].end |
4289.629 |
transcript.whisperx[96].text |
就是原本的八百八換湯不換藥再加五十一九百三十一其他就納入了國土強化韌性一千五百億還有錯誤的能源政策造成台電瓶頂倒閉的挹注一千億的補助好當然強化高等教育人才的培育這個我們當然會支持啊這個能力能度預算就可以了嘛 |
transcript.whisperx[97].start |
4294.442 |
transcript.whisperx[97].end |
4302.412 |
transcript.whisperx[97].text |
全民健保基金的挹注這當然也可以討論支持全民健康一向是國民黨基本的原則 |
transcript.whisperx[98].start |
4303.915 |
transcript.whisperx[98].end |
4324.91 |
transcript.whisperx[98].text |
預祝勞工保險基金這個我們當然也可以討論啦國民黨一向照顧勞工包括勞工一年多放五天假跟資方來要五天假這個也是民進黨強烈反對的現在開始關心勞工了我們當然很樂意如果要關心勞工我們願意敞開大門來談 |
transcript.whisperx[99].start |
4327.028 |
transcript.whisperx[99].end |
4349.019 |
transcript.whisperx[99].text |
那加強弱勢這個族群的以及提供相關的服務 170億這個其實平常就能做的平常就可以 年度預算就應該去編的那現在放在特別預算特別預算一般有它的急迫性那在這裡當然我們沒有拒絕 還是可以討論但是 |
transcript.whisperx[100].start |
4351.605 |
transcript.whisperx[100].end |
4361.495 |
transcript.whisperx[100].text |
執政黨把原來的880億現在突然跳到4100億很無厘頭的塞了很多的預算進來這個振興國內經濟因應美國關稅政策國內產業要如何得到政府支持 |
transcript.whisperx[101].start |
4372.574 |
transcript.whisperx[101].end |
4393.053 |
transcript.whisperx[101].text |
等於用了一個大禮包進來然後現在強迫在野黨要買單不買單 昨天賴總統說不買單就是我們又刪國防預算啊 又怎麼樣啊我們倒是蠻詫異的 我們一直支持國防今天的國防預算比去年多了400億 |
transcript.whisperx[102].start |
4394.634 |
transcript.whisperx[102].end |
4410.655 |
transcript.whisperx[102].text |
我們哪裡有不支持國防 甚至我們支持國軍 支持國軍要能夠加薪不要二等兵的志願役一個月三萬五千三 要養家活口 還要扛槍上戰場 |
transcript.whisperx[103].start |
4413.208 |
transcript.whisperx[103].end |
4427.395 |
transcript.whisperx[103].text |
但是執政黨九年都沒有注意到這個事情三萬五千三要讓職業軍人上戰場如何安身立命安家所以國民黨提出了這個加擠的部分能夠多兩萬塊 |
transcript.whisperx[104].start |
4429.295 |
transcript.whisperx[104].end |
4456.895 |
transcript.whisperx[104].text |
很可惜在立法院我們本來希望在表決的時候能夠朝野一致來支持國軍結果民進黨依然投下了這個反對票我們在這裡深度的表達遺憾對國軍的支持是要安家不是要給他做商務艙還是頭等艙應該讓所有為國願意拋頭如灑熱血的這一些軍人要給他基本的尊嚴還有他的家庭一定要安定 |
transcript.whisperx[105].start |
4459.372 |
transcript.whisperx[105].end |
4475.231 |
transcript.whisperx[105].text |
只要是能夠捍衛台灣的武器 到現在為止不管是今年 去年 哪一年 國民黨沒有一次反對過我要特別在這裡強調一下要軍人 我拿好武器也要讓他能夠生活 |
transcript.whisperx[106].start |
4477.556 |
transcript.whisperx[106].end |
4499.177 |
transcript.whisperx[106].text |
至於我們今天謝謝院長來召集大家來討論這4100億的特別預算現在特別強調照川普總統所宣布是7月9號要正式的宣布包括對台的關稅都要宣布但是我們昨天看到對越南的關稅 |
transcript.whisperx[107].start |
4500.899 |
transcript.whisperx[107].end |
4520.953 |
transcript.whisperx[107].text |
是慘不忍睹啊 慘不忍睹 慘不忍睹所以呢 我們非常高度的憂心台灣是否能夠針對這次美國關稅的大幅提升還有開放台灣市場 對台灣市場 我們現有的產業 |
transcript.whisperx[108].start |
4523.217 |
transcript.whisperx[108].end |
4549.305 |
transcript.whisperx[108].text |
是否能夠承受這樣的一個撞擊更重要的是台幣已經從33塊對一塊美金現在漲到已經看到八字頭28塊多已經在沒有兵不血淵的情況之下我們的政府已經氣洩投降已經全亞洲漲幅最高的就是我們台幣而百分之 台灣百分之85的產業是以出口為導向 |
transcript.whisperx[109].start |
4551.206 |
transcript.whisperx[109].end |
4580.621 |
transcript.whisperx[109].text |
台幣漲了將近超過15個百分點我們接下來我們的產業還能如何因應相關的外銷正因為如此我們考量到很多包括電價等等我們做一個全面性的思考執政者有很多的問題但是在野黨很願意跟執政者一起協助產業所以我在這裡要特別 |
transcript.whisperx[110].start |
4582.355 |
transcript.whisperx[110].end |
4603.844 |
transcript.whisperx[110].text |
提醒一下我們的執政黨國防安全本來就應該要支持但是你放在這裡也沒有說不能討論但是但是7月9號到底關稅是如何這個4100億承受得了嗎用在經濟上面實際只有930億 |
transcript.whisperx[111].start |
4609.898 |
transcript.whisperx[111].end |
4633.354 |
transcript.whisperx[111].text |
其他可以編在年度預算裡的東西都塞在這裡第二個大災問啦民進黨這次4100億特別預算結束以後還有沒有大禮包國防預算特別預算要送進來如果還有的話還是沒有要講清楚如果還有的話 |
transcript.whisperx[112].start |
4634.73 |
transcript.whisperx[112].end |
4661.706 |
transcript.whisperx[112].text |
是不是我們把整個國防的特別預算應該一個概括性的一個整個整體來討論那如果說現在一個振興產業的預算裡面把國防預算放在裡面作為這個急迫性的特別預算接下來又再提一個國防預算的特別預算這前後如果說要提的話 |
transcript.whisperx[113].start |
4663.16 |
transcript.whisperx[113].end |
4689.067 |
transcript.whisperx[113].text |
只要是為了國家安全我們願意我們願意所以呢我在這裡啊要請執政黨要說清楚後面還沒有國防的特別預算要送進來是不是我們可以一併來處理大家都支持國防我們既然坐在這裡就不要互相扣帽子沒有誰不支持國防 |
transcript.whisperx[114].start |
4690.461 |
transcript.whisperx[114].end |
4703.011 |
transcript.whisperx[114].text |
那很重要的就是到底7月9號還沒有到台灣的稅率到底是多少台灣的市場到底要如何開放我們的產業能不能因應現在這個930億的產業振興符不符合整個台灣產業的需要 |
transcript.whisperx[115].start |
4709.876 |
transcript.whisperx[115].end |
4726.713 |
transcript.whisperx[115].text |
接著下來 難道我們要再提一個國防大禮包的特別預算要再提第二次的產業振興特別預算那我們今天一整年都在討論特別預算是不是喔 執政黨請做一個負責任的政府 |
transcript.whisperx[116].start |
4727.754 |
transcript.whisperx[116].end |
4740.584 |
transcript.whisperx[116].text |
到底是要讓產業何去而從,必須要讓大家能夠了解清楚好不好,好,謝謝院長好,謝謝傅坤祺總召,接下來我們請張祺凱總召發言,發言完畢之後我們會休息五分鐘,請今天討論這個4100億的這個特別條例啊,台灣民眾黨有版本 |
transcript.whisperx[117].start |
4745.834 |
transcript.whisperx[117].end |
4767.451 |
transcript.whisperx[117].text |
國民黨的黨團也有版本 行政院有提版本就只有沒有看到民進黨黨團有沒有版本你們現在把自己只是降格 淪落成行政院的立法局嗎然後一直在抹黑 然後只有在罵在野黨的這個版本你們有沒有自己去做過民調在民眾要的版本很清楚嘛民進黨你們做過民調 民進黨團你們有看到 |
transcript.whisperx[118].start |
4771.274 |
transcript.whisperx[118].end |
4793.155 |
transcript.whisperx[118].text |
有多少民眾是支持台電的一千億撥補要進來的已經撥補三次啦 動業補越大第二個你們把這個國土的這個安全任性放進來這明明就是年度預算都有的預算嘛你回到年度去啊你們在總統前幾天才講你們還有個大禮包喔最近要提國防預算喔這不都重疊嗎 |
transcript.whisperx[119].start |
4795.031 |
transcript.whisperx[119].end |
4803.315 |
transcript.whisperx[119].text |
你要嘛回年度預算去啊要嘛就提在總統收的這個國防預算裡面啊為什麼這樣大灌水大挪移像這個案子本來很單純 |
transcript.whisperx[120].start |
4805.08 |
transcript.whisperx[120].end |
4833.492 |
transcript.whisperx[120].text |
我們台灣民眾黨跟國民黨我們去行政院開始做第一次的協商的時候很清楚嘛行政院就是因應高關稅 美國高關稅提多少 880啊突然報一下說到910我們也支持啊沒想到你灌水你為什麼出問題就你把台電的這個1000粒把它灌進去立法院去年在審查預算的時候刪除都已經是不同意要你去檢討你的錯誤的能源政策對不對結果你不檢討 |
transcript.whisperx[121].start |
4835.322 |
transcript.whisperx[121].end |
4847.554 |
transcript.whisperx[121].text |
那總統昨天這幾天還什麼團結四講的第四講還講錯說什麼台電的這個虧損是什麼疫情期間造成的去看一下好不好問一下台電的董事長疫情期間台電不是沒了錢喔還賺錢連這個基本的基礎都搞錯了 |
transcript.whisperx[122].start |
4853.806 |
transcript.whisperx[122].end |
4872.83 |
transcript.whisperx[122].text |
現在所有的問題出在什麼地方就是行政院大農淫大灌水把這個台電的一千億放進來可是之前砍掉的時候已經跟你講你要回去檢討自己要怎麼去處理你以前的金金母輩成敗家子你越補越大動人民為什麼要給你這個錢人民當然不同意啊第二個對於普發現金剛剛民進黨的這個吳斯亞委員剛才在講這個短期的效應 |
transcript.whisperx[123].start |
4883.086 |
transcript.whisperx[123].end |
4909.714 |
transcript.whisperx[123].text |
普華憲爭你一做民調看看絕對多數的民眾都是贊成的而且為什麼要提到普華憲爭台灣民眾黨提普華每個人六千塊錢國民黨提了一萬塊為什麼要普華憲爭大家知道嗎這是人民的錢欸過去四年喔政府超收的錢光是過去四年一兆八千七百多億每一分錢都是人民超收的錢為什麼不還給人民 |
transcript.whisperx[124].start |
4912.023 |
transcript.whisperx[124].end |
4937.731 |
transcript.whisperx[124].text |
結果你們這一兆八千多你們錢用到哪裡去了是不是一堆的浪費包括剛剛講的報普的台電三四三千億有發揮功能嗎大躍不躍大動今天韓院長在現場你當高雄市長的時候前剩餘港你升級要多少錢三千萬對不對一碼錢都不給你陳其邁上來給了多少錢八十億耶你們錢就是這樣花的啊 |
transcript.whisperx[125].start |
4939.534 |
transcript.whisperx[125].end |
4952.524 |
transcript.whisperx[125].text |
你們把人民的錢當錢嗎你們浪費人民的納稅錢那麼多然後我們在看到人民苦蛤蛤的時候不就是民進黨很多你以為我在賺錢嗎台電跌倒 銀報不是吃飽了嗎所以今天要談的是什麼這4100億每一分錢都是人民的納稅錢普發現金我剛剛強調了 |
transcript.whisperx[126].start |
4964.761 |
transcript.whisperx[126].end |
4993.655 |
transcript.whisperx[126].text |
是人民的納稅錢每一分錢都很重要就要發給大家那總統在講什麼他說兩千元發給大家沒有必要他說這個錢發給你們可以用多久可以用很久網路上一堆人在罵賴總統你是淨匯地是不是何不食肉米多少人需要這個普發現金你民進黨之前不是也發了嗎為什麼現在講的是短期這段時間因為高關稅高關稅這衝擊有多少工多少企業多少民眾是抖苦的 |
transcript.whisperx[127].start |
4994.724 |
transcript.whisperx[127].end |
5019.616 |
transcript.whisperx[127].text |
都沒有感受到經濟不好嗎?通膨是嚴重的嗎?多少人認為普發現金是重要的?結果你們從總統現在就變成進匯地今天民進黨團來這邊講什麼短期了先回到人民的立場你們自己去做個民調好不好?支持民眾黨跟國民黨提出來的普發現金第二個,把剛剛講的台電的這個一千億 |
transcript.whisperx[128].start |
5021.089 |
transcript.whisperx[128].end |
5045.962 |
transcript.whisperx[128].text |
你們趕快自己把自己弄好例如說你錯人人員政策到底在什麼地方以前明明是金雞模啊為什麼變成敗家子把這一千億拿回去把這剛剛講的國土安全任性這個預算一千五百億拿回去年度預算 必要的話請賴總統你現在馬上要提的國防預算把它提出來另外我提 強調一下這是台灣民進黨啊 我們是牆內獅子因應高關稅的 |
transcript.whisperx[129].start |
5048.786 |
transcript.whisperx[129].end |
5075.174 |
transcript.whisperx[129].text |
你要幫企業幫勞工跟幫勞工我看一下齁提供企業金融支持這個行政院提了250億還有提升整個產業競爭率250億這個我們都支持的喔我們再加碼在你如果企業要開拓多元市場本來編了100億欸 我們增加100億欸我們提了200欸我們是強力支持的然後再支持勞工安全協議這一塊行政院編了150億我們增加了200億 |
transcript.whisperx[130].start |
5080.221 |
transcript.whisperx[130].end |
5085.885 |
transcript.whisperx[130].text |
350億 農業這一塊的金融支持提升產業的競爭力跟開拓多元市場 形式現實變成180農民都在抗議啊農業團體都在抗議啊 你只有變成180我們這邊不只支持 我們把這個金額 預算提高到300億耶 |
transcript.whisperx[131].start |
5101.519 |
transcript.whisperx[131].end |
5128.059 |
transcript.whisperx[131].text |
所以在高關稅這個 本來就是為了要運營這個台灣民眾黨不只支持 我們把整個支持的金額不管是在企業 在勞工 在農業這一塊我們支持的金額還是大幅的提升的錢要用在刀口上 要用在這個對的地方結果你把它搬去什麼國土安全任性搬去這個台電這個地方 怎麼對得起 對得起人民另外 我們也主張如果真的要變特別預算 要把 |
transcript.whisperx[132].start |
5129.807 |
transcript.whisperx[132].end |
5156.975 |
transcript.whisperx[132].text |
增加債務的這個版本所以我們編了210億另外要降低一般民眾的生活成本的這個支出我們編了TPAS的180億我覺得國民黨跟民眾黨團案子是大同小異的討論完很快就會得到一個折衷的這個版本對前面是最有利的事實上我覺得行政院只要把剛剛講到那兩個怪水的大同小異的把排任的1000億 |
transcript.whisperx[133].start |
5158.359 |
transcript.whisperx[133].end |
5182.335 |
transcript.whisperx[133].text |
拿出去 趕快自己回去檢討到底什麼地方出了問題我提醒一下 包括郭部長你之前清楚講過了 你是反對撥補的喔對不對 反對撥補的喔好 然後你們最重要的 最重要的台電現在是你如果再撥補這個1000米到後來照過去的經驗 沒辦法解決問題然後國土安全這一塊我剛剛講 回到聯督議站去 好不好 |
transcript.whisperx[134].start |
5183.599 |
transcript.whisperx[134].end |
5204.917 |
transcript.whisperx[134].text |
這是可以解決問題的啦我現在強烈的呼籲既然每個黨都有版本只有民眾黨沒有你們趕快去做個民調然後可以支持人民的這個立場這個案子就會過好 謝謝各位黨團幹部好 各位黨團幹部我們休息十分鐘大家私底下再來溝通一下好不好好 謝謝列席官員我們休息一下好不好好 謝謝 |
transcript.whisperx[135].start |
5820.319 |
transcript.whisperx[135].end |
5820.359 |
transcript.whisperx[135].text |
好,謝謝好,謝謝 |
transcript.whisperx[136].start |
5852.904 |
transcript.whisperx[136].end |
5858.589 |
transcript.whisperx[136].text |
主席、各位代表、各位官員我剛才很仔細聆聽文黨和民眾黨的發言 |
transcript.whisperx[137].start |
5876.74 |
transcript.whisperx[137].end |
5900.651 |
transcript.whisperx[137].text |
有一個邏輯上的錯誤因為這個是有關經濟社會的發展以及國土安全的韌性國土安全的韌性,所以是兩道題目那他們省下一個題目,專門在講經濟發展所以這整個命題上面都不一樣了那至於有所謂的各黨的發言裡面,我是覺得 |
transcript.whisperx[138].start |
5902.032 |
transcript.whisperx[138].end |
5927.169 |
transcript.whisperx[138].text |
大家講話文章講就好我只誠懇建議齊凱雄不要碰碰腳,好像很多玩意都是都是你的錯誤的樣子這只是講話上道理來講就可以了不要碰碰腳那一下子比到民進黨來輸,以後心理講話都自己講,不要比到這邊來好不好那我很誠懇建議 |
transcript.whisperx[139].start |
5928.983 |
transcript.whisperx[139].end |
5930.23 |
transcript.whisperx[139].text |
你們現在所講的都是邏輯上的矛盾 |
transcript.whisperx[140].start |
5932.952 |
transcript.whisperx[140].end |
5958.282 |
transcript.whisperx[140].text |
那還要是國家安全國土安全任性也是一個很重要的一塊這段也不能說是講經濟當然我們不會有交集所以沒有交集的時候就變成合格N的字那所有的東西包括剛才講的是說民進黨沒有版本民進黨是執政黨啊換且所會特別從憲法上來談這個事情 |
transcript.whisperx[141].start |
5960.618 |
transcript.whisperx[141].end |
5987.014 |
transcript.whisperx[141].text |
預法案是預決預算法案預決而已啊憲法62條寫得很清楚行政院是提出預算案的所以這屬於行政特權並沒有可以讓你預法案來提預算然後自己來審所以這一點上在先進程序上面的矛盾自己都沒有去把它弄清楚所以 |
transcript.whisperx[142].start |
5988.035 |
transcript.whisperx[142].end |
5993.238 |
transcript.whisperx[142].text |
在愛黨所需的版本是既違法又違憲所以他們只有一個功能而已 |
transcript.whisperx[143].start |
6003.944 |
transcript.whisperx[143].end |
6030.92 |
transcript.whisperx[143].text |
沒關係啦好安靜安靜,麻煩尊重發言委員,謝謝沒有關係,反正就當伴奏音樂就好了好不好這不如講我的發言我們不可以因為鎖電話或是說這個傅文綺講話或是你們眼光不太好,會改變我的看法這是我心無寸,這是我們要站在憲政的高度上來看這個事情所以這樣講的時候 |
transcript.whisperx[144].start |
6035.002 |
transcript.whisperx[144].end |
6052.773 |
transcript.whisperx[144].text |
從這個角度來看,我講一個很持平的話,就是為了什麼?為了反罷免,來買票而已嘛!說穿就是如此嘛!那說完這個講法,說完我們就不聽了!所以再講下去,我們交集極少,我們還是幾乎足調了! |
transcript.whisperx[145].start |
6053.954 |
transcript.whisperx[145].end |
6068.696 |
transcript.whisperx[145].text |
不行就保有 朝明天還是一樣的題目反正明天 因為都有各黨各樣的東西發言嘛那在業務會上結束就好了好 謝謝柯總教的意思 |
transcript.whisperx[146].start |
6071.8 |
transcript.whisperx[146].end |
6079.188 |
transcript.whisperx[146].text |
我們能不能請陳昭智委員發言 因為他舉手兩次了不好意思 陳昭智委員請我今天講回來謝謝院長 謝謝主席我們這次從881到4100億當然剛開始800億 那當天 當天卓院長就承諾說要給我們那個 |
transcript.whisperx[147].start |
6088.357 |
transcript.whisperx[147].end |
6092 |
transcript.whisperx[147].text |
財務衝擊評估就是政府院長親自說有而且本來當天給我們的但是後來當天沒有給我們一直到院會要報告的時候在前一天才給了一個我後來計算了一下是2800字要4100一個字的稿費是1.5億元 |
transcript.whisperx[148].start |
6106.229 |
transcript.whisperx[148].end |
6109.152 |
transcript.whisperx[148].text |
那其實我個人認為搞不好4100億還是不夠的因為所有的學者都評估大概有3.5個GDP3.5%到甚至有15%的GDP的影響那個15%還是看在自由時報就是基本上一個GDP如果是2000到2500億的話其實包括4100億也是不夠的 |
transcript.whisperx[149].start |
6125.871 |
transcript.whisperx[149].end |
6145.697 |
transcript.whisperx[149].text |
但是最重要的重點就是說這個事業你沒有去做財務評估而且事實上在談判過程當中他今天我們也要知道到底談判到什麼程度應該是要不但要有骨有肉但是只有個骨頭然後你要想說你如果談到這個程度大概要多少錢談到這個程度要多少錢等等應該有不同版本三年預算怎麼編 |
transcript.whisperx[150].start |
6147.017 |
transcript.whisperx[150].end |
6151.641 |
transcript.whisperx[150].text |
就是你隨便一個研究計畫50萬、100萬也都要講清楚啊你預期怎麼樣財務通財源等等這些都是空白的那剛剛很不好意思柯總長您過去是我長期尊敬的前輩您剛剛說有個前提是你今天在談經濟跟這個社會很不好意思我冒犯了一下經濟社會的上面還有一個字叫做因應川普關稅我們今天所有的錢在談因應川普關稅我們怎麼可能不關心國防呢 |
transcript.whisperx[151].start |
6172.901 |
transcript.whisperx[151].end |
6201.157 |
transcript.whisperx[151].text |
我們怎麼可能是關於國土安全呢但是今天我們在講的是因應川普關稅下的一個特別條例所以我們支持就是說編公務預算甚至編這個一些特別但是不是用這個因應關稅的時候來偷渡因為我們發現4100億扣掉881或900多億剛好就是總預算案那個刪掉的口啊你就把它偷偷就全部都補回來啊所以不要口口聲聲說我們在野黨 |
transcript.whisperx[152].start |
6202.498 |
transcript.whisperx[152].end |
6208.082 |
transcript.whisperx[152].text |
不顧國家安全喔請記得所有的共絕都出現在你們家都在這個總統府跟這個國安會那台電一千億就沒有人會支持補了幾千億要繼續補然後告訴我們說缺電可是我們談這個能源政策我們上一個案就在談河山的研議公投啊聽聽大家的民意啊你能源的部分大家都知道啊我很不想用那個蟑螂字眼綠能蟑螂的雲爆啊這個能源綠油油啊所以就不要這樣誤導民眾就是說你能源政策好好檢討 |
transcript.whisperx[153].start |
6232.598 |
transcript.whisperx[153].end |
6255.773 |
transcript.whisperx[153].text |
那該用的錢自然會用 你像長期從金雞母到敗家子對不對 剛剛其凱在這個部分是最熟悉的他的大門就是貼了一個每天國照多少錢 沒債多少錢對 這個是要警醒大家的啊所以我想說基本上 然後這個我想跟大家再簡單說明一下剛剛其凱沒有提到的部分為什麼我們在這個健保的部分健保的部分這個 |
transcript.whisperx[154].start |
6259.235 |
transcript.whisperx[154].end |
6269.421 |
transcript.whisperx[154].text |
行政院才編了200億我們還加了370億邱副董你知道我們為什麼怎麼來的嗎你當年簽了0.95您親自簽的組決議啊那您說到0.95要給700億啊結果你沒變那麼多啊你再變300億而已啊330億左右啊我們把你補起來我們為了補那個700億呢然後勞保基金對不對我們要求最終責任入法 |
transcript.whisperx[155].start |
6281.988 |
transcript.whisperx[155].end |
6286.89 |
transcript.whisperx[155].text |
所以說這個搞了幾十年勞工繳了一輩子的那個勞退對不對那他會很擔心你一天到晚說要破產了要破產了大家都很害怕啊你編了個一百億我們編了四百億欸台灣民眾黨是最照顧勞工的結果逼到最後每個人沒有人同意我我在委員會非常的孤單啊最後最後那個那個最終責任入法最後只好用這個勉強叫洪森漢開始寫 |
transcript.whisperx[156].start |
6306.736 |
transcript.whisperx[156].end |
6310.718 |
transcript.whisperx[156].text |
開始寫一些啟動的研究計畫每個人都在罵我說為什麼我當時要動了10億元你要不照顧勞工所以我這裡400億是這麼來的所以我就說給大家聽民眾黨是最負責任我們的每個數字都有的依據跟基礎我想說我先就表達到這裡不要讓民眾以為我們不管國土 記得今天的前提是因應關稅 |
transcript.whisperx[157].start |
6331.246 |
transcript.whisperx[157].end |
6348.24 |
transcript.whisperx[157].text |
因應關稅的這個變局所下面的特別預算只要這個名目就算4100有幾倍合理的有評估的我們都給今天你分三年預算補但是我們都搞不清楚你要怎麼做每一年怎麼編內容是什麼都不清楚什麼版本到底是關稅25%還是10%搞不好50%我們都不知道啊你沒有這個東西怎麼審查預算呢謝謝好 謝謝陳昭德委員接下來我們請羅志強委員請發言 |
transcript.whisperx[158].start |
6361.558 |
transcript.whisperx[158].end |
6382.252 |
transcript.whisperx[158].text |
謝謝院長 我想對我們柯總召有兩個肯定那第一個肯定是 我覺得柯總召剛剛也是很乾脆所以如果說覺得今天大禮尚大陸還沒有達成比較多的共識的話那也可以把它保留下來 我們就院會來處理那這是第一個肯定那第二個肯定就是 謝謝柯總召還我清白剛剛電話顯示就不是羅志強打的 |
transcript.whisperx[159].start |
6385.074 |
transcript.whisperx[159].end |
6406.659 |
transcript.whisperx[159].text |
只是要拜託啦 就是那個通話紀錄你上次 你三個禮拜前答應說要把那個通話紀錄交出來 都好像還沒交學學吳思瑤吳思瑤造謠說這個羅志強 林月容是羅志強的臉書小兵他馬上就道歉 不到24小時道歉所以那個學學吳思瑤 基本上錯了就認 |
transcript.whisperx[160].start |
6407.699 |
transcript.whisperx[160].end |
6427.184 |
transcript.whisperx[160].text |
拿不出 拿不出通話紀錄沒有 我要跟你講你剛剛還在你剛剛在修理張祺改什麼碰碰叫那你在那邊 給我那邊扣帽子讓我回應一下啦所以我還是肯定你嘛你剛剛不是接電話顯然我也不知道是賴清德還是說今天卓榮泰打給你我不知道啊但是你的天眼通可能可以告訴大家未顯示來電就是羅志強打的 |
transcript.whisperx[161].start |
6428.624 |
transcript.whisperx[161].end |
6443.69 |
transcript.whisperx[161].text |
第三個我覺得還是要回到這個題目上來特別講啦剛剛其實聽了吳士堯的發言是有一些意見我想補充讓我們的民進黨的朋友們來去好好的思考第一個我們發現其實我們今天針對這個對等關稅的特別預算條例 |
transcript.whisperx[162].start |
6447.651 |
transcript.whisperx[162].end |
6465.802 |
transcript.whisperx[162].text |
不是沒有共識啦中間很多的條項其實雙方是有共識的不是完全沒有共識但是有一個最基本的地基問題我覺得可能要請行政單位要能夠先確認就是說因為7月9號關稅才公佈嘛那到底現在編的這個項目能不能能不能對應到 |
transcript.whisperx[163].start |
6467.444 |
transcript.whisperx[163].end |
6480.679 |
transcript.whisperx[163].text |
關稅公佈後的實際狀況這點可能要請我們的行政機關來審慎的來去研議這是第一個那第二個是什麼 第一個就是說裡面有稍微有一點點不同意見的部分第一個當然就是關於普發現金 |
transcript.whisperx[164].start |
6482.014 |
transcript.whisperx[164].end |
6501.241 |
transcript.whisperx[164].text |
那我還是要特別講 賴總統在團結實獎第四獎然後到獅子會 成功人士的聚會一直在問底下說 你不會需要這一萬塊吧底下的成功人士也非常的暖心告訴賴總統 說他買菜錢就花完了網路上當然討論是非常多 |
transcript.whisperx[165].start |
6505.743 |
transcript.whisperx[165].end |
6535.083 |
transcript.whisperx[165].text |
那是不是每個人都有像這個成功人士一萬塊拿去買菜一下就花完這種情形那這一點可能戴慶德總統不用去問羅志強也不用去問任何人去問問蘇貞昌跟我們的陳建仁事實上因應經濟的特殊狀況我們中華民國政府普發現金是一直有潛力的國民黨 民進黨都有 |
transcript.whisperx[166].start |
6536.224 |
transcript.whisperx[166].end |
6549.756 |
transcript.whisperx[166].text |
蘇貞昌發過三倍券五倍券然後我們陳建仁也發過普發現金我覺得說實話一個普發現金六千一個五倍券五千一個是一千換三千這都是民進黨過去曾經做的事情賴總統 |
transcript.whisperx[167].start |
6551.758 |
transcript.whisperx[167].end |
6570.068 |
transcript.whisperx[167].text |
我覺得你如果沒有辦法有蘇貞昌跟陳建仁的同理心但你也不要就把這個普發現金搞得好像說今天是一個非常沒有道理的事情在一般的民眾的心中真的不是這個樣子我覺得賴總統可能還是要貼近民意一點點 |
transcript.whisperx[168].start |
6571.149 |
transcript.whisperx[168].end |
6593.159 |
transcript.whisperx[168].text |
那第二個也是我不得不說啦 坦白講台電要撥補這件事情立法院其實也不是不能討論啦 真的不是不能討論啦可是問題是過去已經撥補了三千億 結果你還要撥補我真的建議我們的行政院啦 如果真的一定要撥補你起碼對全民拿出誠意嘛 |
transcript.whisperx[169].start |
6594.019 |
transcript.whisperx[169].end |
6617.388 |
transcript.whisperx[169].text |
你現在像蔡英文總統曾經的承諾是十年不漲電價十年不大漲電價最後沒做到是一回事 最後她也沒做到可是你今天一直撥普一直撥普但是你還是一直漲價一直漲價我告訴各位幾個數字第一個你就知道為什麼我們心心念念台灣人民的荷包錢不能這樣花了你知道馬總統的任內電價漲幅大概是23% |
transcript.whisperx[170].start |
6621.769 |
transcript.whisperx[170].end |
6629.893 |
transcript.whisperx[170].text |
但是呢 民進黨蔡總統任內 店價漲幅是35%足足高了50%就是35對23如果你只看這個數字 我跟各位講 還不準 為什麼呢因為實際上 在民進黨的第一次執政的2006年台電開始由贏轉虧 變成虧損一直虧到2013年 終於誰讓他由虧轉贏了就是國民黨執政的時候 |
transcript.whisperx[171].start |
6649.484 |
transcript.whisperx[171].end |
6654.747 |
transcript.whisperx[171].text |
2013年 就是103年獲利140億 104年大賺618億 105年獲利354億國民黨執政沒有補補台電 台電由虧轉盈而且在卸任時還留了828億的電價穩定基金給蔡英文我是要說句公道話啦 |
transcript.whisperx[172].start |
6675.052 |
transcript.whisperx[172].end |
6696.174 |
transcript.whisperx[172].text |
國民黨執政 台電沒有撥補然後呢 還留了828億電價穩定基金給民進黨結果呢 漲價也不過就漲了23%被民進黨罵到基本上國民黨幾乎要崩盤倒台啊但是現在呢 賴清德民進黨你們下來已經撥補3000億了 |
transcript.whisperx[173].start |
6699.734 |
transcript.whisperx[173].end |
6714.799 |
transcript.whisperx[173].text |
馬英九留給你828億你撥補3000億你不夠然後你跟我講還要撥還要補還要撥還要補還要撥還要補是不是齊凱雄剛剛一直講的嘛金雞母便敗家子我們是為台灣的台電心疼不捨 |
transcript.whisperx[174].start |
6716.32 |
transcript.whisperx[174].end |
6731.39 |
transcript.whisperx[174].text |
但是真的沒關係 因為民進黨一直強調你撥補我就要漲價啊我跟你講 你這樣講我也是為我們台灣人民心疼啦但是如果你真的一定要用這種方式的話你起碼秀一點誠意嘛 |
transcript.whisperx[175].start |
6732.17 |
transcript.whisperx[175].end |
6749.506 |
transcript.whisperx[175].text |
你跟蔡英文總統一樣先宣誓十年不大漲電價嘛如果你願意做這件事情說真的撥補這一千億本身就不是個重點重點是什麼重點是人家別人執政是賺錢拿漲電價漲得比你少你執政是一直虧錢補三千億補不夠還一直漲電價 |
transcript.whisperx[176].start |
6753.257 |
transcript.whisperx[176].end |
6769.099 |
transcript.whisperx[176].text |
人民生活所有的錢都是人民的錢我們可不可以珍惜所以在這邊是誠懇呼籲我們今天執政黨的朋友沒有要你績效做到跟國民黨一樣好但是起碼誠意做出來 |
transcript.whisperx[177].start |
6770.08 |
transcript.whisperx[177].end |
6793.791 |
transcript.whisperx[177].text |
要撥補台電一千億就沒有看到誠意嘛你等於政策你也不調整然後呢你接下來你跟我講說你還是要強調說你要漲電價你也沒保證不漲電價那我跟各位講今天這個一千億的部分我覺得不是完全沒空間但是行政機關你有沒有苦民所苦就像賴清德總統一萬塊你有沒有苦民所苦最後一個我還是要講國防的部分啦 |
transcript.whisperx[178].start |
6794.631 |
transcript.whisperx[178].end |
6807.176 |
transcript.whisperx[178].text |
我說實在的話 到今天為止我們誰反應都超過1500億啊 沒有啊但是我跟你講 還是可以討論民進黨一定要把國防 國土防衛任性放進對等關稅風暴裡的這個特別預算條例裡面那我跟你講 討論嘛 對可是 |
transcript.whisperx[179].start |
6812.618 |
transcript.whisperx[179].end |
6826.791 |
transcript.whisperx[179].text |
國民黨跟民眾黨的意思是說既然國防歸國防嘛我沒有反對你把1500億拿出來但你為什麼我就不能懂啦為什麼你不能夠有一個國防特別預算條例國土安全特別預算條例你趕快送出來嘛 |
transcript.whisperx[180].start |
6827.552 |
transcript.whisperx[180].end |
6852.588 |
transcript.whisperx[180].text |
到現在也不送啊 你趕快送出來 趕快大家就來討論就來審所以推等關稅 我們可以好好的來因應這次的關稅風暴國防可以好好的因應國防的部分1500億並沒有要去刪啊 並沒有要去擋啊重點是你今天民政則言順嘛那為什麼不能夠把事情分清楚 民政言順那還是最後我跟雲南報告最後一件事情 |
transcript.whisperx[181].start |
6853.294 |
transcript.whisperx[181].end |
6880.52 |
transcript.whisperx[181].text |
在這邊我還是要講一件事啊國防預算比去年多四百億欸然後一直跟我講說刪國防預算然後刪了那八十億裡面有四十五億是王定宇刪的咧拜託那個是報價錯誤把這個所謂的把這個我跟你講我在這邊我跟你講喔第一個照民進黨這種邏輯什麼事都是跟中共裡應外合那我現在抱歉我為王定宇抱屈啊王定宇為什麼會今天投這張票 |
transcript.whisperx[182].start |
6882.04 |
transcript.whisperx[182].end |
6884.802 |
transcript.whisperx[182].text |
就是因為報價書就寫錯嘛我最近不能說今天我跟我們柯總 假設你今天做生意對不對結果你買一個東西 他跟你講說55塊報價書過來變成155塊 多了50塊然後最後說抱歉抱歉 報價書錯了他跟你講說 可是報價書錯不準我一樣要你105塊要來付這個錢沒有這個道理啦 |
transcript.whisperx[183].start |
6910.538 |
transcript.whisperx[183].end |
6938.066 |
transcript.whisperx[183].text |
所以王定宇這次是站在他這一邊的喔所以拜託 即便把這些預算算進去國防預算多400億我們賴總統現金已經是跟人民脫節國防這件事情真的要去算帳找王定宇 謝謝好 謝謝接下來還有兩位委員發言完畢之後我要進行處理首先我們請吳思耀委員發言那麻煩二要一點 接下來再請張啟凱委員 謝謝 |
transcript.whisperx[184].start |
6941.095 |
transcript.whisperx[184].end |
6962.589 |
transcript.whisperx[184].text |
這個說到造謠,沒有人會贏這個羅志強這個被法院認證,造謠的你們的王宏威已經不在然後前幾天法院遞檢才公開的,你們說行政院有六個部會說你們刪預算是造謠,結果司法認證行政院說的是正確的,沒有人在造謠 |
transcript.whisperx[185].start |
6963.67 |
transcript.whisperx[185].end |
6964.65 |
transcript.whisperx[185].text |
幾萬人跟我同場看棒球都變朋友拜託啦 |
transcript.whisperx[186].start |
6988.775 |
transcript.whisperx[186].end |
7006.243 |
transcript.whisperx[186].text |
不用這樣暴跳如雷 惱羞成怒好 我們來回應一下當初一開始行政院提出了880億然後行政院長朱鎔泰為了彰顯要跟在野的對話邀請各黨邊到行政院我們都在場 副總召在場 |
transcript.whisperx[187].start |
7006.923 |
transcript.whisperx[187].end |
7024.322 |
transcript.whisperx[187].text |
然後自強委員在場也是在那個當下卓院長聆聽了在野委員的意見認為我們要拼經濟我們要顧民生可以再擴充預算所以行政院回去再從善如流再就預算的部分善用稅計剩餘 |
transcript.whisperx[188].start |
7026.024 |
transcript.whisperx[188].end |
7055.124 |
transcript.whisperx[188].text |
把經濟發展的紅利透過稅計剩餘編一個特別條例這也是回應了在野黨的需求現在來說我們回應了在野黨的需求說人家把人家罵的跟什麼一樣我不曉得你們邏輯在哪裡當初你們的建議跟要求當行政院正面的回應你們採用你們的建議擴充了預算的時候現在你們又要馬兒好又要馬兒不吃草這完全是邏輯錯誤而且根本就是說一套做一套 |
transcript.whisperx[189].start |
7055.945 |
transcript.whisperx[189].end |
7064.335 |
transcript.whisperx[189].text |
第二個發現金在疫情期間刺激內需跟現在的狀況完全不同經濟學家財經學家說很多了不用浪費時間在這裡講你們去看看經濟學家財經學者的說法就好第三個不要在 |
transcript.whisperx[190].start |
7071.022 |
transcript.whisperx[190].end |
7071.923 |
transcript.whisperx[190].text |
我需要在這裡播放嗎?不需要嘛,對不對? |
transcript.whisperx[191].start |
7093.817 |
transcript.whisperx[191].end |
7113.537 |
transcript.whisperx[191].text |
所以不要這樣子隨便消費別人沒有說過的話或是曲解別人在審議預算的時候當初那筆預算還要求做成另外一個決議那是一加一的你們都去脈絡化都是把事實這樣子非常簡略的誰在造謠就是你們在造謠講回今天的主題因應國際情勢 |
transcript.whisperx[192].start |
7116.789 |
transcript.whisperx[192].end |
7140.03 |
transcript.whisperx[192].text |
因應國際情勢我要回答剛剛陳昭資委員的回答現在我們在跟美國談我們希望結果是好的是正向的我們一起來支持國家我想沒有人應當唱衰台灣我們期待這個談判是好的結果但是除了希望關稅能夠調到一個合宜的數字之外更重要的是我們要去除非關稅壁壘 |
transcript.whisperx[193].start |
7141.687 |
transcript.whisperx[193].end |
7164.884 |
transcript.whisperx[193].text |
我們要去除台灣在非關稅壁壘的這件事情上的政策的努力很重要的是我們不能夠洗產地我們不能夠那麼輕易的成為中國洗產地的這個基地所以說我們需要在這筆特別預算裡頭針對一千五百億裡頭的國土安全的韌性就攸關我們所有的海防人員 |
transcript.whisperx[194].start |
7165.825 |
transcript.whisperx[194].end |
7173.729 |
transcript.whisperx[194].text |
他們需要在協助洗產地的亂象在第一線在海上協助他們夜間的偵測執行擴大整個偵搜的系統希望來協助我們所有海防的修地不要輕易的讓洗產地這件事情台灣被中國利用 |
transcript.whisperx[195].start |
7185.154 |
transcript.whisperx[195].end |
7211.291 |
transcript.whisperx[195].text |
那你看這次世大運啊蔣萬安辦的世大運啊不就現場被踢爆嗎發的禮物裡面就是替中國洗盞踢的產品啊所以說這絕對跟我們因應國際局勢相關而因應國際局勢裡頭大家都不要否認了沒有國土安全就不會有經濟安全就不會有民生安全好最後一下我節省時間因為剛剛柯總召已經說了啦大家合格言而至 |
transcript.whisperx[196].start |
7216.015 |
transcript.whisperx[196].end |
7231.233 |
transcript.whisperx[196].text |
這個完全都沒有辦法聚焦喔完全是為普發現金何患無辭啊為了大撒幣救罷免何患無辭啊為了花國家的錢扛國家之慨去討好人民何患無辭啊 |
transcript.whisperx[197].start |
7232.334 |
transcript.whisperx[197].end |
7237.138 |
transcript.whisperx[197].text |
國防預算如果如副管理總召說的你們這麼支持國防預算今年砍了84億還包括第一次凍結的899億的國防預算這都是2008年馬英九執政以來的新高我也可以複習一下我這幾天去找了資料才赫然發現 |
transcript.whisperx[198].start |
7253.911 |
transcript.whisperx[198].end |
7260.276 |
transcript.whisperx[198].text |
阿扁總統的時候軍購的預算6108億在那個年代過去國民黨國會多數聯手的是親民黨當時大坎大黨軍購預算69次在程序委員會擋掉然後要求他減少預算回編公務預算就像你們講的不要編特別預算去回編公務預算我告訴大家 |
transcript.whisperx[199].start |
7278.571 |
transcript.whisperx[199].end |
7286.318 |
transcript.whisperx[199].text |
200幾年阿扁的時候6108億好不容易跟美國買三個軍購的預算6108億也被國民黨當時的國民黨國會多數說去編年度預算結果呢回編了年度預算以後呢你們2006年刊的刪的年度預算國防預算是132億2007年你們刪的國防預算是184億都是史上的新高 |
transcript.whisperx[200].start |
7304.053 |
transcript.whisperx[200].end |
7310.179 |
transcript.whisperx[200].text |
所以第一名史上刪國防預算在2007年國民黨跟親民黨聯手刪了184億是Top 1第二名是2006年同樣是國民黨國會多數跟親民黨聯手刪了132億而那個時候傅昆吉總召是親民黨的立委你是國防委員會的召委那個時候你說這個預算你絕對要刪 |
transcript.whisperx[201].start |
7329.165 |
transcript.whisperx[201].end |
7347.779 |
transcript.whisperx[201].text |
這就是當年而史上第三次刪減國防預算的高峰就在今年刪了84億你們還敢口口聲聲說你們支持國防預算如果支持國防預算這是再一次給你們一個機會用具體的行動1500億的國土安全不要大挪移大挪移去大撒幣 |
transcript.whisperx[202].start |
7348.88 |
transcript.whisperx[202].end |
7377.179 |
transcript.whisperx[202].text |
你們今年刪的預算就是84億加上1500億藍白聯手刪了1584億會在今年發生希望你們高抬貴手不要為了救罷免發現金為難自己的國軍弟兄為難自己的國軍的提升不要為難我們的海防兄弟不要口口聲聲說支持國防支持國防就請支持這個預算再說一次 |
transcript.whisperx[203].start |
7379.24 |
transcript.whisperx[203].end |
7404.55 |
transcript.whisperx[203].text |
為普發現金何患無辭就是坐在我們對面的這一排從今天開始到等一下要說的每一句話就是為了這個目的如此而已好謝謝各位黨團幹部好我現在本來張啟凱委員發言完畢我要進行處理那沒有沒有對不起因為讓我講完讓我講我知道我被點名了我知道現在有兩位委員要求發言一個是我們陳培宇委員 |
transcript.whisperx[204].start |
7405.33 |
transcript.whisperx[204].end |
7427.656 |
transcript.whisperx[204].text |
一個是傅坤祺總召所以本來我是要進行處理的那接下來還有三位委員發言那我就拜託一件事情盡量精簡對準我們今天的題目好嗎好 請張經理來請陳培委員請準備我先回應剛剛柯總召他說我碰碰腳了你都沒注意到你在罵人的時候吃壓力水面目可憎嗎 |
transcript.whisperx[205].start |
7429.605 |
transcript.whisperx[205].end |
7442.399 |
transcript.whisperx[205].text |
我那麼理性我每次都可以談事情結果你每次都是對人網路上一堆人說啊你每次都以老賣老他們說我為什麼要對你那麼客氣你會去煮到怎麼樣美這個老了以後以老賣老這個立委 |
transcript.whisperx[206].start |
7443.993 |
transcript.whisperx[206].end |
7457.927 |
transcript.whisperx[206].text |
老而不死 未知結啦老不休 老不休就是老不休這你主考正經講的這你每次罵人 每次都罵人年齡歧視抗議啊年齡歧視抗議啊 人身攻擊的方向主席剛剛一抗議要這樣要對焦 |
transcript.whisperx[207].start |
7467.094 |
transcript.whisperx[207].end |
7488.868 |
transcript.whisperx[207].text |
長久以來你們民進黨團老是罵人家什麼中共同路人你老是眼睛看到人家是中共同路人還說什麼民眾黨跟國民黨要從地表上被你們消滅什麼是習近平同路人你們為什麼做這麼嚴酷的指控完全沒有證據每次罵人都吃鴨肋嘴變木可珍結果人家回去跟你談事情的時候每次都是人身攻擊 |
transcript.whisperx[208].start |
7490.657 |
transcript.whisperx[208].end |
7491.718 |
transcript.whisperx[208].text |
剛剛你們總召在講我說你有制止他嗎剛剛柯總召說 |
transcript.whisperx[209].start |
7512.011 |
transcript.whisperx[209].end |
7522.941 |
transcript.whisperx[209].text |
立法委員不能夠提增加預算你自己提過老人間貼嗎我看你提過案子增加預算的就很多吧請真的來照著做吧對不對是不是這樣子第二個 |
transcript.whisperx[210].start |
7528.936 |
transcript.whisperx[210].end |
7549.67 |
transcript.whisperx[210].text |
我剛剛在講說你們立法院 民進黨的立院黨團為什麼不提自己的案子明明這個案子行政院提出來版本 人民有很多意見就你們在自我閹割啊為什麼不跟人民站在一起呢你們以前也提過案子啊你們在自我閹割 你們怎麼對得起人民你們是人民納稅錢欸不是你行政院的錢欸我會信好不好好來 我來談 我來談一下台電的事情剛剛特別講到 |
transcript.whisperx[211].start |
7557.499 |
transcript.whisperx[211].end |
7582.697 |
transcript.whisperx[211].text |
因為你先罵我啊所以我告訴你 民眾說對你不要那麼客氣啦我對你那麼客氣 結果你每次都這樣子都沒有想到你罵別人的時候是什麼樣子而且每次你談事 你都是談人剛剛講台電我清清楚楚的講齁 我們最近在推為什麼推河山廠的研歷這個公投台電的網站清清楚楚講 河電廠一年幫台電賺多少錢300億的 |
transcript.whisperx[212].start |
7587.441 |
transcript.whisperx[212].end |
7614.946 |
transcript.whisperx[212].text |
結果你們把河山廠砍掉之後除役之後300億要找人民拿拿人民的錢來撥補然後漲電價合一合二合三加起來被你們這個整個發電的成本增加多少將近1000億欸你們不是應該回去檢討你們趕快來贊成來投我們台灣民眾黨提出來的河山研議的這個公投談贊成票啊你300億就可以賺回來啊不是嗎 |
transcript.whisperx[213].start |
7616.38 |
transcript.whisperx[213].end |
7634.656 |
transcript.whisperx[213].text |
第二個 不是只有核電被你們廢掉 成本增加還要讓我們人民用廢氣發電 影響我們的健康還有綠電的問題啊 你們綠電 台電自己講的啊回去上看你們官網 綠電包括太陽能跟風電一度平均起來你們花多少錢 一度 5.8塊欸你們沒有買太貴嗎 |
transcript.whisperx[214].start |
7638.427 |
transcript.whisperx[214].end |
7654.437 |
transcript.whisperx[214].text |
光電在全世界很多比較先進的國家一度電大概是成本大概一塊一一塊二你們買到四塊多欸你們自己講的整個再生能源是五塊八欸你們把它弄成髒電把它賣出去賣三塊多欸這樣怎麼不要虧損這邊沒有一個地案你現在講說開始要賣R1-30那趕快多賣一點啊是不是這樣子 |
transcript.whisperx[215].start |
7662.022 |
transcript.whisperx[215].end |
7671.773 |
transcript.whisperx[215].text |
所以不管是核電你來支持台灣民眾黨的核三公投公投你都要投贊成我們的三百億就賺回來好 謝謝第二個綠電你不要在這樣浪費我們這邊的納稅錢而且很多企業都在講買不到綠電嘛你可以多賣一點你的錢就可以進來為什麼要拿我們人民的錢再去撥補這一千里好 謝謝 |
transcript.whisperx[216].start |
7681.747 |
transcript.whisperx[216].end |
7695.502 |
transcript.whisperx[216].text |
下面還有兩位委員發言 容許我再提醒一下如果有抨擊到其他委員 用詞不當等等我要迅速要請大家停止發言 好不好我們現在還有兩位委員要發言首先請陳培宇 請傅坤吉總召請發言 |
transcript.whisperx[217].start |
7697.578 |
transcript.whisperx[217].end |
7707.083 |
transcript.whisperx[217].text |
兩位都不發言那我就處理了那我要發言因為我剛剛以為是副總召先舉手那謝謝主席那張其凱委員你既然要講錢我們就來講錢因為剛剛羅志強委員特別說在馬英九政府執政的時候到底相關的電價那既然我們今天要來談的這個特別條例我要先糾正一下剛剛陳昭斯委員他不叫做川普關稅 |
transcript.whisperx[218].start |
7717.608 |
transcript.whisperx[218].end |
7730.673 |
transcript.whisperx[218].text |
它叫做因應國際情勢對準國際我們看的就不會只有美國對準國際我們要看的是全世界到底在這個階段發生了哪些事情所以我們才會在特別條例當中才會放入台電才會放入我們認為跟國際情勢有關那剛剛張祺凱文跟陳道志委員都特別一直要講到台電要講錢我們就要講錢 |
transcript.whisperx[219].start |
7739.016 |
transcript.whisperx[219].end |
7759.866 |
transcript.whisperx[219].text |
那台電這幾年對照到國際情勢發生了什麼事情我相信你們一定都非常清楚惡霧戰爭這件事情造成全世界我要再強調一次是全世界的進口燃料價格都暴漲但是你們不願意看到這個事實你們只願意看到你們所相信的事實在最貴的時候沒 |
transcript.whisperx[220].start |
7760.586 |
transcript.whisperx[220].end |
7766.67 |
transcript.whisperx[220].text |
上漲了五倍天然氣上漲了七倍這跟你們口口聲聲在說的綠電一點關係都沒有我想要強調的是如果你們要講賺錢你們要講對準國際情勢那就請面對真實的狀態就是台電在進口相關原物料的時候價格上漲這件事情你們要不要給予支持這是第一個 |
transcript.whisperx[221].start |
7783.18 |
transcript.whisperx[221].end |
7795.229 |
transcript.whisperx[221].text |
再來全世界都漲電價這也是事實那為什麼全世界都漲電價難道全世界的行政機關行政院總統所有相關首相都不在意人民都不傾聽人民聲音不知道人民所苦嗎很簡單我剛講的國際情勢國際情勢造成全世界電價上漲法國漲到139%這個驚人的調幅 |
transcript.whisperx[222].start |
7807.057 |
transcript.whisperx[222].end |
7816.882 |
transcript.whisperx[222].text |
全世界電力公司也因為燃料價格上漲電費上漲但不見得人民可以負擔所以也都有政府補助而這個事實你們也不願意看見例如韓國電力虧損7500億法國EDF虧損5700億所以全世界的政府為了支持民生為了支持產業 |
transcript.whisperx[223].start |
7831.309 |
transcript.whisperx[223].end |
7854.119 |
transcript.whisperx[223].text |
為了支持大家可以好好生活如同你們說的苦民所苦所以也有相關的補助希望在產業在民生用電上都不要影響到產業發展也不要影響到人民甚至你們非常喜歡說所謂先進國家我們就來看看核電用很多的法國也補貼了7000億日本補貼超過8000億這些把相關數字加起來 |
transcript.whisperx[224].start |
7860.822 |
transcript.whisperx[224].end |
7880.14 |
transcript.whisperx[224].text |
用一個小學生高年級的數學邏輯你大概就可以想像為什麼這一次在行政院對準因應國際情勢強化經濟社會跟國土安全的時候我們一定務必要拜託在野黨委員也要支持要把台電補助一千億放進去 |
transcript.whisperx[225].start |
7881.221 |
transcript.whisperx[225].end |
7884.104 |
transcript.whisperx[225].text |
就是這個簡單的數學邏輯所以如果要談錢要談台電我們現在大家必須共同面臨的困境就是這個當然你可以指責我們你認為我們沒有版本非常的荒謬但是我要提醒你我們就是執政黨 |
transcript.whisperx[226].start |
7896.458 |
transcript.whisperx[226].end |
7908.627 |
transcript.whisperx[226].text |
執政黨必須要支持我們有提版本要寫我們沒有提版本要寫那我們來聽一下民間的聲音你每一次的發言都很喜歡說叫我們去看民調叫我們聽什麼那我想問一下張祺凱委員我念以下的團體給你聽聽一聽這些民意 |
transcript.whisperx[227].start |
7914.091 |
transcript.whisperx[227].end |
7922.396 |
transcript.whisperx[227].text |
全國工業總會、全國商業總會、工商協進會、全國中小企業總會、工業區廠商聯合總會、電機電子工會、工業協進會、工商企業聯合會等八大工商團體 |
transcript.whisperx[228].start |
7933.223 |
transcript.whisperx[228].end |
7950.112 |
transcript.whisperx[228].text |
共同聲明指出呼籲朝野各黨派能夠支持一千億撥補台電預算我不知道這些工業總會協會除了上面的老闆之外所有他們工作的員工他們的心聲你聽見了嗎 |
transcript.whisperx[229].start |
7952.116 |
transcript.whisperx[229].end |
7972.403 |
transcript.whisperx[229].text |
不要再做莫名其妙的指控也不要再拿著只有你手上看得懂的名義以為就可以代表全部名義所有專家團體的意見你們過去在修其他的法不聽現在在台電撥補這件事情最直接受到衝擊的你口口聲聲要關心中小企業產業他們站出來告訴你你依然不聽 |
transcript.whisperx[230].start |
7973.496 |
transcript.whisperx[230].end |
7999.243 |
transcript.whisperx[230].text |
你依然用你只相信的數字污蔑台電 污蔑這1000億我不知道後續你們還要如何對這些工商團體有所交代謝謝主席 以上好 謝謝陳北宇的發言接下來富坤局總召發言完畢我就要進行處理好 請我覺得 謝謝主席啊我想我也對這個今天瞠目結舌啊 |
transcript.whisperx[231].start |
8000.593 |
transcript.whisperx[231].end |
8028.084 |
transcript.whisperx[231].text |
這個能夠扭曲事實到這種程度 倒果為因啊果然是執政者的本事因為看不到人民的痛苦今天也讓我真的是大開眼界因為原本卓榮泰院長所提出的是因應美國關稅我國出口供應產業鏈支持方案 |
transcript.whisperx[232].start |
8029.676 |
transcript.whisperx[232].end |
8053.361 |
transcript.whisperx[232].text |
所提出的880億我們請院長針對產業支持的部分880億是不足的所以他們提進來的就是加了50億再930億然後其他就是包了如同柯總統講的這個國土安全也包進來了我們起因是在哪裡是國際的關稅局勢 |
transcript.whisperx[233].start |
8056.158 |
transcript.whisperx[233].end |
8073.949 |
transcript.whisperx[233].text |
那執政黨就趁火打劫把這些東西通通放進來我們一直在激起回應民間到底我們的產業要得到什麼樣的支持我們就來炒國土韌性1500億國土韌性1500億跟產業支持到底有什麼關係國土韌性當然可以支持啊 |
transcript.whisperx[234].start |
8080.834 |
transcript.whisperx[234].end |
8109.68 |
transcript.whisperx[234].text |
但是放在這個地方嗎我剛剛真的是 我雖然很不願意點名不過我們吳嗣堯女士委員真的是今天讓我真的再一次改變我的這個全觀真的讚嘆了她說就是為了怕洗產地所以一千五百億國土任性是為了怕洗產地要增加海上的偵查 |
transcript.whisperx[235].start |
8110.816 |
transcript.whisperx[235].end |
8115.811 |
transcript.whisperx[235].text |
海上的偵察是怕走私耶這西藏有什麼關係 這基本常識耶 |
transcript.whisperx[236].start |
8117.025 |
transcript.whisperx[236].end |
8144.007 |
transcript.whisperx[236].text |
對不對那些產品進來以後在台灣加工以後出去叫洗產地他現在在海上抓的原來海上這麼多的產品要銷到美國然後都在海上然後就可以蓋MIT然後就可以出去了嗎為了1500億真的吳女士妳太辛苦了真的是有國有名真的我們要謝謝妳真的讓我們知道什麼叫重新教育我們什麼叫洗產地所以需要1500億來增加國土韌性 |
transcript.whisperx[237].start |
8147.247 |
transcript.whisperx[237].end |
8173.573 |
transcript.whisperx[237].text |
不過我還是要再強調一下你們當然提出很多的數據本席也非常的讚嘆比方說 你看法國也有補充那個定價這個日本也有補充也有補貼7000億接近台幣啦 幾千億對不起啊日本人口是我們的幾倍啊 |
transcript.whisperx[238].start |
8174.963 |
transcript.whisperx[238].end |
8194.177 |
transcript.whisperx[238].text |
他們產業規模是多大是台灣的多少倍啊為什麼人家補貼7000億台幣我如果在野黨沒有審慎審查的話現在台灣已經5000億了我們是台灣的capacity整個總產量我們佔領大概幾分之幾啊所有的政策就承認嘛不要跟我玩數字遊戲嘛 |
transcript.whisperx[239].start |
8198.3 |
transcript.whisperx[239].end |
8214.168 |
transcript.whisperx[239].text |
所以我要再一次的強調非核家園是2016年到現在為止民進黨最主要要對國人負責的政策 能源政策非核家園的結果天天漲電價 天天要補貼而且台電永遠是用平民倒閉來威脅在野黨 |
transcript.whisperx[240].start |
8227.946 |
transcript.whisperx[240].end |
8252.764 |
transcript.whisperx[240].text |
剛剛講得非常好這個民進黨的幹部說八大工商團體呼籲不要漲電價呼籲要救台電但是請問一下八大工商團體喊了多久台灣要把核電留下來民進黨聽到了嗎 |
transcript.whisperx[241].start |
8255.349 |
transcript.whisperx[241].end |
8279.544 |
transcript.whisperx[241].text |
導果為因嘛今天講了半天都是導果為因最後我還是要再強調一下我本來不想講這個問題但是他們一直亂來亂去普發現金是最實在讓基層人民不是跟執政貴族有同樣的體驗執政貴族是在最高層跟基層苦難的百姓他的體會是不一樣的 |
transcript.whisperx[242].start |
8280.717 |
transcript.whisperx[242].end |
8297.601 |
transcript.whisperx[242].text |
全世界包括美國這麼強大的國家新加坡 香港 韓國到處都在普發現金為什麼台灣不能普發現金然後呢 我想今天的民進黨不要打臉昨天的民進黨從蘇貞昌 |
transcript.whisperx[243].start |
8302.557 |
transcript.whisperx[243].end |
8327.622 |
transcript.whisperx[243].text |
2010年的三倍券到2020年的三倍券到2021年的五倍券到2023年陳建仁院長的普發現金奇怪咧為什麼昨天的次期民進黨都會選擇性的失憶我還是要真的要強調 |
transcript.whisperx[244].start |
8329.727 |
transcript.whisperx[244].end |
8347.335 |
transcript.whisperx[244].text |
今天在這裡真的表現最好還是柯建民柯總召以民進黨的今天整體的表現來講柯總召是今天我很難忘的一天那表現這麼好希望柯總召以後協商都保持這樣子我們都非常高興電話來了那個賴總統打電話給你 |
transcript.whisperx[245].start |
8352.838 |
transcript.whisperx[245].end |
8370.328 |
transcript.whisperx[245].text |
好 謝謝謝謝各位黨團幹部我們現在做一個宣告本案未有共識我們提報院會一議事規定來進行處理二現在我們進行第三題公平會組織法的寫上謝謝今天列席所有的內閣的閣員各位官員非常感謝大家現在請回謝謝 |
transcript.whisperx[246].start |
8438.103 |
transcript.whisperx[246].end |
8452.181 |
transcript.whisperx[246].text |
好 謝謝各位黨團幹部來 我們大家再辛苦一下 謝謝大家來 各位黨團幹部請坐我們現在今天下午第三個要討論的議題是延商公平交易委員會 |
transcript.whisperx[247].start |
8459.33 |
transcript.whisperx[247].end |
8481.689 |
transcript.whisperx[247].text |
來 各位黨團幹部請拜託大家注意一下 請傾聽一下延商公平交易委員會組織法第四條及第十六條條文修正草案我們先介紹列席的行政機關代表首先我們歡迎公平交易委員會的代理主委陳代理主委你好 請坐請坐 |
transcript.whisperx[248].start |
8482.91 |
transcript.whisperx[248].end |
8494.763 |
transcript.whisperx[248].text |
我們第二位行政院人事行政總署的張副人事長您好請坐歡迎您好我們現在先請提案的黨團來做說明首先請台灣民眾黨黨團說明另外請國民黨黨團準備這是這個 |
transcript.whisperx[249].start |
8500.97 |
transcript.whisperx[249].end |
8519.347 |
transcript.whisperx[249].text |
公民教育委員會組織法修正應該是比較單純的應該是比較單純的事實上他只有修了三個重點他跟之前的那個NCC組織法上是一樣的我相信應該比較沒有爭議很快就可以通過他本來現行的是說如果委員屆滿沒有依照 |
transcript.whisperx[250].start |
8520.448 |
transcript.whisperx[250].end |
8538.167 |
transcript.whisperx[250].text |
這個前項規定去提名新的這個時候他可以延任所以導致跟NCE委員那時候一樣導致變成是一個萬年的委員那我們現在台灣民眾黨明確的提出修法說你任滿只能連任一次已經連任者不能夠再任這是第一個 |
transcript.whisperx[251].start |
8539.068 |
transcript.whisperx[251].end |
8558.359 |
transcript.whisperx[251].text |
就是只能連任一次然後第二個我們明定如果因為立法院不同意或者出缺導致委員的人士不足的時候行政院長要在三個月內補足提名這跟NCC通過的那個法案事實上是一樣的另外第三個點 |
transcript.whisperx[252].start |
8559.6 |
transcript.whisperx[252].end |
8586.24 |
transcript.whisperx[252].text |
之前我們是授權由行政院就說這個法令修正以後什麼時候要開始實施另以命令定之結果發現行政院違法亂前一直都不實施所以我們明確把它定說本法的修正條文從公佈日開始實施就這三個重點這三個都是跟之前大家通過的NCC的組織法上是一樣應該是非常單純化的那目前我們要特別提醒 |
transcript.whisperx[253].start |
8587.06 |
transcript.whisperx[253].end |
8606.513 |
transcript.whisperx[253].text |
上次因為審查的時候公平會有一個洪才榮洪委員他沒有通過然後這個李美 李主委也沒有過可是一直拖延在那邊一方面我們修法要快速一方面我們提醒行政院要趕快不要讓公平會兩個人閒切在那裡第一個我們要提醒NCC的委員 |
transcript.whisperx[254].start |
8608.154 |
transcript.whisperx[254].end |
8616.411 |
transcript.whisperx[254].text |
已經通過了對不對 三讀通過了到現在還沒有送來行政院長是睡著了嗎你要癱瘓NCC嗎NCC這麼重要 |
transcript.whisperx[255].start |
8619.755 |
transcript.whisperx[255].end |
8642.356 |
transcript.whisperx[255].text |
包括最近大家在注意這個無限三台無限四台的他們的換照這個問題還有很多人民的這個潛力怎麼可以行政院不依法趕快把NC的這個切額趕快送過來了嘛所以第一個我們呼籲行政院長不要再違法亂七了第二個趕快我們讓公平會組織法這個修正案趕快依法來做事謝謝好 謝謝謝謝提案的台灣民眾黨黨團說明接下來請國民黨黨團王玉民委員請說明 |
transcript.whisperx[256].start |
8646.118 |
transcript.whisperx[256].end |
8648.039 |
transcript.whisperx[256].text |
好 謝謝我們院長那有關於這一次的修法國民黨的意見跟民眾黨其實很像第一個主張就是事實上公平交易委員會它不應該成為萬年的委員就是過去其實在這邊並沒有做比較明確的規範但是其實像國家通訊傳播委員會 |
transcript.whisperx[257].start |
8672.271 |
transcript.whisperx[257].end |
8693.808 |
transcript.whisperx[257].text |
其實他都有連選一次不得再任的這樣一個相關的規定那我認為事實上我們這個國家的人才很多所以這樣的一個職務如果可以再連任一次那之後可以再由新的委員來選任我覺得這個其實是有流動是一件好的事情 |
transcript.whisperx[258].start |
8694.728 |
transcript.whisperx[258].end |
8713.658 |
transcript.whisperx[258].text |
第二個部分就是關於出缺的時候現在看到行政院其實比較消極出缺好像也沒有關係所以在條文裡面就比較明確的去犯併委員出缺時行政院院長應於三個月內 |
transcript.whisperx[259].start |
8714.718 |
transcript.whisperx[259].end |
8721.303 |
transcript.whisperx[259].text |
提名,就是可以讓委員會可以有一個新的委員可以及時上任,然後可以有一個好的運作,那針對這樣的修法,我想是一個相對比較單純的一個修法,所以也希望大家可以一起共同來支持,讓我們的公平會的委員 |
transcript.whisperx[260].start |
8736.374 |
transcript.whisperx[260].end |
8755.626 |
transcript.whisperx[260].text |
那連任一次之後不得再任那可以讓人才國家的優秀人才都有機會來擔任這個委員的職務然後也希望行政院未來有遇到出缺未足額的時候應該三個月內補足提名以上好 謝謝王玉民委員的說明接下來我們請柯總召請有關於公民委員組織法的問題 |
transcript.whisperx[261].start |
8762.381 |
transcript.whisperx[261].end |
8776.856 |
transcript.whisperx[261].text |
剛剛張徐凱委員所談這是單純沒有爭議,錯了,這不單純而且有爭議,這個不要自己解釋沒有關係,但是我們有不同的解讀方式,這是不單純又有爭議,這和像是AC一樣 |
transcript.whisperx[262].start |
8781.34 |
transcript.whisperx[262].end |
8794.013 |
transcript.whisperx[262].text |
第一個有關於臨院離職,這個我們同意但是有關於生源鏈要再補給,然後時間到就要下海,這部分會造成一些問題所以這個問題是目前現在的真點 |
transcript.whisperx[263].start |
8797.396 |
transcript.whisperx[263].end |
8819.823 |
transcript.whisperx[263].text |
我覺得我們這個題目是明天要處理還是下禮拜處理大家可能要明天剛剛處理這個有關於這個特別條例的話又發言非常長時間這一題可能請我至少沒有有這一個有這一個我還是找時間再論好不好好好 |
transcript.whisperx[264].start |
8829.178 |
transcript.whisperx[264].end |
8839.113 |
transcript.whisperx[264].text |
好那我們第三案我們就明天早上我們繼續進行溝通好不好好那我們就非常感謝大家我們現在散會謝謝我們列席的官員謝謝啊 |