iVOD / 16801

Field Value
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