iVOD / 15695

Field Value
IVOD_ID 15695
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15695
日期 2024-03-06
會議資料.會議代碼 委員會-11-1-23-2
會議資料.會議代碼:str 第11屆第1會期交通委員會第2次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 2
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第1會期交通委員會第2次全體委員會議
影片種類 Full
開始時間 2024-03-06T08:29:59+08:00
結束時間 2024-03-06T14:59:00+08:00
影片長度 06:29:01
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd370e55bcfbb05b219b5fa2f296a935343be8d109af184be4e62595423525e1785ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-03-06T09:00:00+08:00
會議名稱 立法院第11屆第1會期交通委員會第2次全體委員會議(事由:邀請交通部部長王國材列席報告業務概況,並備質詢。【3月4日、6日及7日三天一次會】)
委員名稱 完整會議
委員發言時間 08:29:59 - 14:59:00
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 1801.15034375
transcript.pyannote[0].end 1806.83721875
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 1809.16596875
transcript.pyannote[1].end 1810.97159375
transcript.pyannote[2].speaker SPEAKER_04
transcript.pyannote[2].start 1813.97534375
transcript.pyannote[2].end 1814.73471875
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 1815.05534375
transcript.pyannote[3].end 1817.14784375
transcript.pyannote[4].speaker SPEAKER_04
transcript.pyannote[4].start 1817.70471875
transcript.pyannote[4].end 1821.18096875
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 1821.85596875
transcript.pyannote[5].end 1824.89346875
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 1825.51784375
transcript.pyannote[6].end 1827.20534375
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 1830.93471875
transcript.pyannote[7].end 1834.22534375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 1835.72721875
transcript.pyannote[8].end 1838.49471875
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 1839.76034375
transcript.pyannote[9].end 1842.44346875
transcript.pyannote[10].speaker SPEAKER_04
transcript.pyannote[10].start 1844.01284375
transcript.pyannote[10].end 1847.84346875
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 1849.39596875
transcript.pyannote[11].end 1851.70784375
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 1852.60221875
transcript.pyannote[12].end 1855.79159375
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 1856.83784375
transcript.pyannote[13].end 1862.11971875
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 1862.65971875
transcript.pyannote[14].end 1875.19784375
transcript.pyannote[15].speaker SPEAKER_04
transcript.pyannote[15].start 1876.09221875
transcript.pyannote[15].end 1878.10034375
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 1878.72471875
transcript.pyannote[16].end 1881.08721875
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 1882.26846875
transcript.pyannote[17].end 1884.61409375
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 1885.27221875
transcript.pyannote[18].end 1887.33096875
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 1888.00596875
transcript.pyannote[19].end 1890.94221875
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 1891.76909375
transcript.pyannote[20].end 1894.85721875
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 1898.45159375
transcript.pyannote[21].end 1900.72971875
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 1901.55659375
transcript.pyannote[22].end 1903.76721875
transcript.pyannote[23].speaker SPEAKER_23
transcript.pyannote[23].start 1908.57659375
transcript.pyannote[23].end 1909.20096875
transcript.pyannote[24].speaker SPEAKER_23
transcript.pyannote[24].start 1909.97721875
transcript.pyannote[24].end 1910.01096875
transcript.pyannote[25].speaker SPEAKER_23
transcript.pyannote[25].start 1910.65221875
transcript.pyannote[25].end 1910.73659375
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 1917.33471875
transcript.pyannote[26].end 1919.12346875
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 1921.63784375
transcript.pyannote[27].end 1924.92846875
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 1925.50221875
transcript.pyannote[28].end 1927.67909375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 1928.53971875
transcript.pyannote[29].end 1930.78409375
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 1932.45471875
transcript.pyannote[30].end 1934.66534375
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 1935.45846875
transcript.pyannote[31].end 1937.90534375
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 1942.30971875
transcript.pyannote[32].end 1945.14471875
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 1946.68034375
transcript.pyannote[33].end 1953.61596875
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 1953.63284375
transcript.pyannote[34].end 1962.22221875
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 1962.39096875
transcript.pyannote[35].end 1966.50846875
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 1966.86284375
transcript.pyannote[36].end 1976.44784375
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 1979.45159375
transcript.pyannote[37].end 1982.77596875
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 1983.26534375
transcript.pyannote[38].end 1985.44221875
transcript.pyannote[39].speaker SPEAKER_06
transcript.pyannote[39].start 1993.50846875
transcript.pyannote[39].end 2000.02221875
transcript.pyannote[40].speaker SPEAKER_06
transcript.pyannote[40].start 2000.96721875
transcript.pyannote[40].end 2013.15096875
transcript.pyannote[41].speaker SPEAKER_06
transcript.pyannote[41].start 2013.96096875
transcript.pyannote[41].end 2018.53409375
transcript.pyannote[42].speaker SPEAKER_06
transcript.pyannote[42].start 2018.97284375
transcript.pyannote[42].end 2020.87971875
transcript.pyannote[43].speaker SPEAKER_06
transcript.pyannote[43].start 2021.30159375
transcript.pyannote[43].end 2023.03971875
transcript.pyannote[44].speaker SPEAKER_06
transcript.pyannote[44].start 2023.22534375
transcript.pyannote[44].end 2031.69659375
transcript.pyannote[45].speaker SPEAKER_06
transcript.pyannote[45].start 2034.44721875
transcript.pyannote[45].end 2061.00846875
transcript.pyannote[46].speaker SPEAKER_06
transcript.pyannote[46].start 2062.24034375
transcript.pyannote[46].end 2087.06346875
transcript.pyannote[47].speaker SPEAKER_06
transcript.pyannote[47].start 2087.65409375
transcript.pyannote[47].end 2094.69096875
transcript.pyannote[48].speaker SPEAKER_06
transcript.pyannote[48].start 2095.16346875
transcript.pyannote[48].end 2098.65659375
transcript.pyannote[49].speaker SPEAKER_06
transcript.pyannote[49].start 2099.23034375
transcript.pyannote[49].end 2101.59284375
transcript.pyannote[50].speaker SPEAKER_06
transcript.pyannote[50].start 2102.72346875
transcript.pyannote[50].end 2125.33596875
transcript.pyannote[51].speaker SPEAKER_06
transcript.pyannote[51].start 2125.70721875
transcript.pyannote[51].end 2133.06471875
transcript.pyannote[52].speaker SPEAKER_06
transcript.pyannote[52].start 2134.16159375
transcript.pyannote[52].end 2139.93284375
transcript.pyannote[53].speaker SPEAKER_06
transcript.pyannote[53].start 2140.30409375
transcript.pyannote[53].end 2155.84596875
transcript.pyannote[54].speaker SPEAKER_06
transcript.pyannote[54].start 2158.15784375
transcript.pyannote[54].end 2172.67034375
transcript.pyannote[55].speaker SPEAKER_06
transcript.pyannote[55].start 2173.05846875
transcript.pyannote[55].end 2175.87659375
transcript.pyannote[56].speaker SPEAKER_06
transcript.pyannote[56].start 2176.01159375
transcript.pyannote[56].end 2187.14909375
transcript.pyannote[57].speaker SPEAKER_06
transcript.pyannote[57].start 2187.41909375
transcript.pyannote[57].end 2192.11034375
transcript.pyannote[58].speaker SPEAKER_06
transcript.pyannote[58].start 2192.44784375
transcript.pyannote[58].end 2196.88596875
transcript.pyannote[59].speaker SPEAKER_06
transcript.pyannote[59].start 2197.07159375
transcript.pyannote[59].end 2204.27721875
transcript.pyannote[60].speaker SPEAKER_06
transcript.pyannote[60].start 2204.49659375
transcript.pyannote[60].end 2217.05159375
transcript.pyannote[61].speaker SPEAKER_06
transcript.pyannote[61].start 2217.22034375
transcript.pyannote[61].end 2226.90659375
transcript.pyannote[62].speaker SPEAKER_06
transcript.pyannote[62].start 2228.15534375
transcript.pyannote[62].end 2238.51659375
transcript.pyannote[63].speaker SPEAKER_06
transcript.pyannote[63].start 2238.65159375
transcript.pyannote[63].end 2240.92971875
transcript.pyannote[64].speaker SPEAKER_06
transcript.pyannote[64].start 2241.14909375
transcript.pyannote[64].end 2249.13096875
transcript.pyannote[65].speaker SPEAKER_06
transcript.pyannote[65].start 2250.27846875
transcript.pyannote[65].end 2252.89409375
transcript.pyannote[66].speaker SPEAKER_06
transcript.pyannote[66].start 2253.16409375
transcript.pyannote[66].end 2260.13346875
transcript.pyannote[67].speaker SPEAKER_06
transcript.pyannote[67].start 2260.84221875
transcript.pyannote[67].end 2263.77846875
transcript.pyannote[68].speaker SPEAKER_06
transcript.pyannote[68].start 2264.30159375
transcript.pyannote[68].end 2268.18284375
transcript.pyannote[69].speaker SPEAKER_06
transcript.pyannote[69].start 2268.82409375
transcript.pyannote[69].end 2269.93784375
transcript.pyannote[70].speaker SPEAKER_06
transcript.pyannote[70].start 2269.97159375
transcript.pyannote[70].end 2273.46471875
transcript.pyannote[71].speaker SPEAKER_06
transcript.pyannote[71].start 2273.76846875
transcript.pyannote[71].end 2276.01284375
transcript.pyannote[72].speaker SPEAKER_06
transcript.pyannote[72].start 2276.50221875
transcript.pyannote[72].end 2279.47221875
transcript.pyannote[73].speaker SPEAKER_06
transcript.pyannote[73].start 2279.70846875
transcript.pyannote[73].end 2287.74096875
transcript.pyannote[74].speaker SPEAKER_06
transcript.pyannote[74].start 2288.19659375
transcript.pyannote[74].end 2296.81971875
transcript.pyannote[75].speaker SPEAKER_06
transcript.pyannote[75].start 2297.19096875
transcript.pyannote[75].end 2298.13596875
transcript.pyannote[76].speaker SPEAKER_06
transcript.pyannote[76].start 2298.49034375
transcript.pyannote[76].end 2299.97534375
transcript.pyannote[77].speaker SPEAKER_06
transcript.pyannote[77].start 2301.12284375
transcript.pyannote[77].end 2311.29846875
transcript.pyannote[78].speaker SPEAKER_06
transcript.pyannote[78].start 2311.60221875
transcript.pyannote[78].end 2312.12534375
transcript.pyannote[79].speaker SPEAKER_06
transcript.pyannote[79].start 2312.41221875
transcript.pyannote[79].end 2319.48284375
transcript.pyannote[80].speaker SPEAKER_06
transcript.pyannote[80].start 2319.90471875
transcript.pyannote[80].end 2325.47346875
transcript.pyannote[81].speaker SPEAKER_06
transcript.pyannote[81].start 2325.97971875
transcript.pyannote[81].end 2328.71346875
transcript.pyannote[82].speaker SPEAKER_06
transcript.pyannote[82].start 2329.48971875
transcript.pyannote[82].end 2331.49784375
transcript.pyannote[83].speaker SPEAKER_06
transcript.pyannote[83].start 2331.93659375
transcript.pyannote[83].end 2347.83284375
transcript.pyannote[84].speaker SPEAKER_06
transcript.pyannote[84].start 2348.13659375
transcript.pyannote[84].end 2350.19534375
transcript.pyannote[85].speaker SPEAKER_06
transcript.pyannote[85].start 2350.73534375
transcript.pyannote[85].end 2352.25409375
transcript.pyannote[86].speaker SPEAKER_06
transcript.pyannote[86].start 2352.57471875
transcript.pyannote[86].end 2355.54471875
transcript.pyannote[87].speaker SPEAKER_06
transcript.pyannote[87].start 2355.83159375
transcript.pyannote[87].end 2356.25346875
transcript.pyannote[88].speaker SPEAKER_06
transcript.pyannote[88].start 2357.08034375
transcript.pyannote[88].end 2365.65284375
transcript.pyannote[89].speaker SPEAKER_06
transcript.pyannote[89].start 2365.78784375
transcript.pyannote[89].end 2372.48721875
transcript.pyannote[90].speaker SPEAKER_06
transcript.pyannote[90].start 2372.90909375
transcript.pyannote[90].end 2376.90846875
transcript.pyannote[91].speaker SPEAKER_06
transcript.pyannote[91].start 2377.11096875
transcript.pyannote[91].end 2389.78409375
transcript.pyannote[92].speaker SPEAKER_06
transcript.pyannote[92].start 2390.32409375
transcript.pyannote[92].end 2393.27721875
transcript.pyannote[93].speaker SPEAKER_06
transcript.pyannote[93].start 2394.20534375
transcript.pyannote[93].end 2395.57221875
transcript.pyannote[94].speaker SPEAKER_06
transcript.pyannote[94].start 2396.01096875
transcript.pyannote[94].end 2396.56784375
transcript.pyannote[95].speaker SPEAKER_06
transcript.pyannote[95].start 2396.75346875
transcript.pyannote[95].end 2399.23409375
transcript.pyannote[96].speaker SPEAKER_06
transcript.pyannote[96].start 2399.48721875
transcript.pyannote[96].end 2405.52846875
transcript.pyannote[97].speaker SPEAKER_06
transcript.pyannote[97].start 2406.55784375
transcript.pyannote[97].end 2422.31909375
transcript.pyannote[98].speaker SPEAKER_06
transcript.pyannote[98].start 2422.55534375
transcript.pyannote[98].end 2430.95909375
transcript.pyannote[99].speaker SPEAKER_06
transcript.pyannote[99].start 2431.19534375
transcript.pyannote[99].end 2435.04284375
transcript.pyannote[100].speaker SPEAKER_06
transcript.pyannote[100].start 2435.71784375
transcript.pyannote[100].end 2440.12221875
transcript.pyannote[101].speaker SPEAKER_06
transcript.pyannote[101].start 2440.59471875
transcript.pyannote[101].end 2443.98659375
transcript.pyannote[102].speaker SPEAKER_06
transcript.pyannote[102].start 2444.67846875
transcript.pyannote[102].end 2445.45471875
transcript.pyannote[103].speaker SPEAKER_06
transcript.pyannote[103].start 2446.11284375
transcript.pyannote[103].end 2447.93534375
transcript.pyannote[104].speaker SPEAKER_06
transcript.pyannote[104].start 2448.32346875
transcript.pyannote[104].end 2456.33909375
transcript.pyannote[105].speaker SPEAKER_06
transcript.pyannote[105].start 2456.71034375
transcript.pyannote[105].end 2469.04596875
transcript.pyannote[106].speaker SPEAKER_06
transcript.pyannote[106].start 2469.13034375
transcript.pyannote[106].end 2472.25221875
transcript.pyannote[107].speaker SPEAKER_06
transcript.pyannote[107].start 2473.07909375
transcript.pyannote[107].end 2482.34346875
transcript.pyannote[108].speaker SPEAKER_06
transcript.pyannote[108].start 2483.03534375
transcript.pyannote[108].end 2485.38096875
transcript.pyannote[109].speaker SPEAKER_06
transcript.pyannote[109].start 2485.65096875
transcript.pyannote[109].end 2491.23659375
transcript.pyannote[110].speaker SPEAKER_06
transcript.pyannote[110].start 2491.75971875
transcript.pyannote[110].end 2493.05909375
transcript.pyannote[111].speaker SPEAKER_06
transcript.pyannote[111].start 2493.16034375
transcript.pyannote[111].end 2495.53971875
transcript.pyannote[112].speaker SPEAKER_06
transcript.pyannote[112].start 2495.69159375
transcript.pyannote[112].end 2496.72096875
transcript.pyannote[113].speaker SPEAKER_06
transcript.pyannote[113].start 2497.02471875
transcript.pyannote[113].end 2512.54971875
transcript.pyannote[114].speaker SPEAKER_06
transcript.pyannote[114].start 2513.00534375
transcript.pyannote[114].end 2521.89846875
transcript.pyannote[115].speaker SPEAKER_06
transcript.pyannote[115].start 2522.20221875
transcript.pyannote[115].end 2523.95721875
transcript.pyannote[116].speaker SPEAKER_06
transcript.pyannote[116].start 2524.31159375
transcript.pyannote[116].end 2528.49659375
transcript.pyannote[117].speaker SPEAKER_06
transcript.pyannote[117].start 2528.68221875
transcript.pyannote[117].end 2531.09534375
transcript.pyannote[118].speaker SPEAKER_06
transcript.pyannote[118].start 2531.95596875
transcript.pyannote[118].end 2553.23534375
transcript.pyannote[119].speaker SPEAKER_06
transcript.pyannote[119].start 2553.50534375
transcript.pyannote[119].end 2559.41159375
transcript.pyannote[120].speaker SPEAKER_06
transcript.pyannote[120].start 2559.46221875
transcript.pyannote[120].end 2567.05596875
transcript.pyannote[121].speaker SPEAKER_06
transcript.pyannote[121].start 2567.41034375
transcript.pyannote[121].end 2572.43909375
transcript.pyannote[122].speaker SPEAKER_06
transcript.pyannote[122].start 2572.89471875
transcript.pyannote[122].end 2574.46409375
transcript.pyannote[123].speaker SPEAKER_06
transcript.pyannote[123].start 2575.17284375
transcript.pyannote[123].end 2577.04596875
transcript.pyannote[124].speaker SPEAKER_06
transcript.pyannote[124].start 2578.12596875
transcript.pyannote[124].end 2582.53034375
transcript.pyannote[125].speaker SPEAKER_06
transcript.pyannote[125].start 2582.80034375
transcript.pyannote[125].end 2584.03221875
transcript.pyannote[126].speaker SPEAKER_06
transcript.pyannote[126].start 2584.48784375
transcript.pyannote[126].end 2587.22159375
transcript.pyannote[127].speaker SPEAKER_06
transcript.pyannote[127].start 2587.67721875
transcript.pyannote[127].end 2589.93846875
transcript.pyannote[128].speaker SPEAKER_06
transcript.pyannote[128].start 2590.42784375
transcript.pyannote[128].end 2592.03096875
transcript.pyannote[129].speaker SPEAKER_06
transcript.pyannote[129].start 2592.26721875
transcript.pyannote[129].end 2595.15284375
transcript.pyannote[130].speaker SPEAKER_06
transcript.pyannote[130].start 2595.69284375
transcript.pyannote[130].end 2596.21596875
transcript.pyannote[131].speaker SPEAKER_06
transcript.pyannote[131].start 2597.16096875
transcript.pyannote[131].end 2602.02096875
transcript.pyannote[132].speaker SPEAKER_06
transcript.pyannote[132].start 2602.37534375
transcript.pyannote[132].end 2607.96096875
transcript.pyannote[133].speaker SPEAKER_06
transcript.pyannote[133].start 2608.33221875
transcript.pyannote[133].end 2609.64846875
transcript.pyannote[134].speaker SPEAKER_06
transcript.pyannote[134].start 2610.07034375
transcript.pyannote[134].end 2614.66034375
transcript.pyannote[135].speaker SPEAKER_06
transcript.pyannote[135].start 2614.82909375
transcript.pyannote[135].end 2616.01034375
transcript.pyannote[136].speaker SPEAKER_06
transcript.pyannote[136].start 2616.39846875
transcript.pyannote[136].end 2638.65659375
transcript.pyannote[137].speaker SPEAKER_06
transcript.pyannote[137].start 2639.75346875
transcript.pyannote[137].end 2645.33909375
transcript.pyannote[138].speaker SPEAKER_06
transcript.pyannote[138].start 2645.94659375
transcript.pyannote[138].end 2664.23909375
transcript.pyannote[139].speaker SPEAKER_06
transcript.pyannote[139].start 2664.69471875
transcript.pyannote[139].end 2667.41159375
transcript.pyannote[140].speaker SPEAKER_06
transcript.pyannote[140].start 2667.61409375
transcript.pyannote[140].end 2670.31409375
transcript.pyannote[141].speaker SPEAKER_06
transcript.pyannote[141].start 2670.65159375
transcript.pyannote[141].end 2708.80596875
transcript.pyannote[142].speaker SPEAKER_06
transcript.pyannote[142].start 2708.92409375
transcript.pyannote[142].end 2716.19721875
transcript.pyannote[143].speaker SPEAKER_06
transcript.pyannote[143].start 2717.47971875
transcript.pyannote[143].end 2724.92159375
transcript.pyannote[144].speaker SPEAKER_06
transcript.pyannote[144].start 2725.14096875
transcript.pyannote[144].end 2731.84034375
transcript.pyannote[145].speaker SPEAKER_06
transcript.pyannote[145].start 2732.34659375
transcript.pyannote[145].end 2736.58221875
transcript.pyannote[146].speaker SPEAKER_06
transcript.pyannote[146].start 2736.85221875
transcript.pyannote[146].end 2739.55221875
transcript.pyannote[147].speaker SPEAKER_06
transcript.pyannote[147].start 2739.97409375
transcript.pyannote[147].end 2744.47971875
transcript.pyannote[148].speaker SPEAKER_06
transcript.pyannote[148].start 2745.52596875
transcript.pyannote[148].end 2752.79909375
transcript.pyannote[149].speaker SPEAKER_06
transcript.pyannote[149].start 2753.01846875
transcript.pyannote[149].end 2759.58284375
transcript.pyannote[150].speaker SPEAKER_06
transcript.pyannote[150].start 2761.05096875
transcript.pyannote[150].end 2774.33159375
transcript.pyannote[151].speaker SPEAKER_06
transcript.pyannote[151].start 2774.41596875
transcript.pyannote[151].end 2778.19596875
transcript.pyannote[152].speaker SPEAKER_06
transcript.pyannote[152].start 2778.68534375
transcript.pyannote[152].end 2786.05971875
transcript.pyannote[153].speaker SPEAKER_06
transcript.pyannote[153].start 2787.42659375
transcript.pyannote[153].end 2804.74034375
transcript.pyannote[154].speaker SPEAKER_06
transcript.pyannote[154].start 2805.14534375
transcript.pyannote[154].end 2806.73159375
transcript.pyannote[155].speaker SPEAKER_06
transcript.pyannote[155].start 2807.18721875
transcript.pyannote[155].end 2825.83409375
transcript.pyannote[156].speaker SPEAKER_06
transcript.pyannote[156].start 2826.47534375
transcript.pyannote[156].end 2829.61409375
transcript.pyannote[157].speaker SPEAKER_06
transcript.pyannote[157].start 2829.91784375
transcript.pyannote[157].end 2834.17034375
transcript.pyannote[158].speaker SPEAKER_06
transcript.pyannote[158].start 2834.77784375
transcript.pyannote[158].end 2840.11034375
transcript.pyannote[159].speaker SPEAKER_06
transcript.pyannote[159].start 2840.34659375
transcript.pyannote[159].end 2858.87534375
transcript.pyannote[160].speaker SPEAKER_06
transcript.pyannote[160].start 2859.24659375
transcript.pyannote[160].end 2862.35159375
transcript.pyannote[161].speaker SPEAKER_06
transcript.pyannote[161].start 2862.68909375
transcript.pyannote[161].end 2865.23721875
transcript.pyannote[162].speaker SPEAKER_06
transcript.pyannote[162].start 2865.67596875
transcript.pyannote[162].end 2867.27909375
transcript.pyannote[163].speaker SPEAKER_06
transcript.pyannote[163].start 2867.78534375
transcript.pyannote[163].end 2870.58659375
transcript.pyannote[164].speaker SPEAKER_06
transcript.pyannote[164].start 2870.97471875
transcript.pyannote[164].end 2872.45971875
transcript.pyannote[165].speaker SPEAKER_06
transcript.pyannote[165].start 2872.54409375
transcript.pyannote[165].end 2895.56159375
transcript.pyannote[166].speaker SPEAKER_06
transcript.pyannote[166].start 2895.84846875
transcript.pyannote[166].end 2901.24846875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 2905.99034375
transcript.pyannote[167].end 2911.23846875
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 2912.35221875
transcript.pyannote[168].end 2914.14096875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 2915.13659375
transcript.pyannote[169].end 2916.90846875
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 2919.45659375
transcript.pyannote[170].end 2921.16096875
transcript.pyannote[171].speaker SPEAKER_04
transcript.pyannote[171].start 2921.73471875
transcript.pyannote[171].end 2923.08471875
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 2923.55721875
transcript.pyannote[172].end 2924.95784375
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 2925.95346875
transcript.pyannote[173].end 2926.93221875
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 2927.40471875
transcript.pyannote[174].end 2936.83784375
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 2937.63096875
transcript.pyannote[175].end 2939.67284375
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 2940.98909375
transcript.pyannote[176].end 2942.33909375
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 2942.87909375
transcript.pyannote[177].end 2944.98846875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 2946.03471875
transcript.pyannote[178].end 2947.46909375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 2948.29596875
transcript.pyannote[179].end 2949.81471875
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 2950.18596875
transcript.pyannote[180].end 2952.91971875
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 2954.05034375
transcript.pyannote[181].end 2955.56909375
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 2955.99096875
transcript.pyannote[182].end 2957.56034375
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 2958.40409375
transcript.pyannote[183].end 2959.16346875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 2959.24784375
transcript.pyannote[184].end 2961.01971875
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 2962.28534375
transcript.pyannote[185].end 2968.51221875
transcript.pyannote[186].speaker SPEAKER_34
transcript.pyannote[186].start 2980.17284375
transcript.pyannote[186].end 2984.89784375
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 2992.42409375
transcript.pyannote[187].end 2996.74409375
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 2996.96346875
transcript.pyannote[188].end 2998.92096875
transcript.pyannote[189].speaker SPEAKER_34
transcript.pyannote[189].start 2997.21659375
transcript.pyannote[189].end 2998.24596875
transcript.pyannote[190].speaker SPEAKER_34
transcript.pyannote[190].start 2998.92096875
transcript.pyannote[190].end 3000.00096875
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 3004.05096875
transcript.pyannote[191].end 3006.04221875
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 3006.29534375
transcript.pyannote[192].end 3007.61159375
transcript.pyannote[193].speaker SPEAKER_34
transcript.pyannote[193].start 3008.38784375
transcript.pyannote[193].end 3009.51846875
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 3010.05846875
transcript.pyannote[194].end 3011.08784375
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 3011.32409375
transcript.pyannote[195].end 3012.23534375
transcript.pyannote[196].speaker SPEAKER_34
transcript.pyannote[196].start 3012.75846875
transcript.pyannote[196].end 3014.36159375
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 3015.89721875
transcript.pyannote[197].end 3016.70721875
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 3018.52971875
transcript.pyannote[198].end 3019.08659375
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 3019.94721875
transcript.pyannote[199].end 3021.41534375
transcript.pyannote[200].speaker SPEAKER_04
transcript.pyannote[200].start 3021.61784375
transcript.pyannote[200].end 3022.63034375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 3023.40659375
transcript.pyannote[201].end 3024.57096875
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 3025.54971875
transcript.pyannote[202].end 3026.59596875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 3027.40596875
transcript.pyannote[203].end 3029.46471875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 3030.20721875
transcript.pyannote[204].end 3033.98721875
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 3034.69596875
transcript.pyannote[205].end 3035.82659375
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 3036.45096875
transcript.pyannote[206].end 3039.06659375
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 3039.84284375
transcript.pyannote[207].end 3042.01971875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 3042.94784375
transcript.pyannote[208].end 3050.35596875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 3051.01409375
transcript.pyannote[209].end 3053.15721875
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 3053.84909375
transcript.pyannote[210].end 3055.30034375
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 3056.17784375
transcript.pyannote[211].end 3059.67096875
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 3060.43034375
transcript.pyannote[212].end 3062.77596875
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 3063.56909375
transcript.pyannote[213].end 3064.34534375
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 3065.25659375
transcript.pyannote[214].end 3065.94846875
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 3066.97784375
transcript.pyannote[215].end 3067.73721875
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 3068.46284375
transcript.pyannote[216].end 3069.17159375
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 3070.16721875
transcript.pyannote[217].end 3072.98534375
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 3073.52534375
transcript.pyannote[218].end 3075.02721875
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 3076.03971875
transcript.pyannote[219].end 3080.29221875
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 3081.11909375
transcript.pyannote[220].end 3082.35096875
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 3083.46471875
transcript.pyannote[221].end 3084.32534375
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 3084.98346875
transcript.pyannote[222].end 3096.01971875
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 3096.79596875
transcript.pyannote[223].end 3099.59721875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 3100.50846875
transcript.pyannote[224].end 3104.76096875
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 3105.26721875
transcript.pyannote[225].end 3107.71409375
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 3108.20346875
transcript.pyannote[226].end 3110.05971875
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 3110.73471875
transcript.pyannote[227].end 3111.56159375
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 3111.83159375
transcript.pyannote[228].end 3113.77221875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 3114.02534375
transcript.pyannote[229].end 3114.12659375
transcript.pyannote[230].speaker SPEAKER_06
transcript.pyannote[230].start 3114.12659375
transcript.pyannote[230].end 3126.58034375
transcript.pyannote[231].speaker SPEAKER_06
transcript.pyannote[231].start 3126.76596875
transcript.pyannote[231].end 3135.10221875
transcript.pyannote[232].speaker SPEAKER_06
transcript.pyannote[232].start 3135.50721875
transcript.pyannote[232].end 3139.94534375
transcript.pyannote[233].speaker SPEAKER_06
transcript.pyannote[233].start 3140.67096875
transcript.pyannote[233].end 3148.02846875
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 3148.02846875
transcript.pyannote[234].end 3149.71596875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 3150.20534375
transcript.pyannote[235].end 3154.00221875
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 3154.52534375
transcript.pyannote[236].end 3156.16221875
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 3156.53346875
transcript.pyannote[237].end 3160.31346875
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 3160.53284375
transcript.pyannote[238].end 3161.56221875
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 3162.22034375
transcript.pyannote[239].end 3163.67159375
transcript.pyannote[240].speaker SPEAKER_06
transcript.pyannote[240].start 3166.42221875
transcript.pyannote[240].end 3182.08221875
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 3173.88096875
transcript.pyannote[241].end 3174.15096875
transcript.pyannote[242].speaker SPEAKER_06
transcript.pyannote[242].start 3182.72346875
transcript.pyannote[242].end 3204.69471875
transcript.pyannote[243].speaker SPEAKER_06
transcript.pyannote[243].start 3204.82971875
transcript.pyannote[243].end 3207.46221875
transcript.pyannote[244].speaker SPEAKER_04
transcript.pyannote[244].start 3205.72409375
transcript.pyannote[244].end 3206.46659375
transcript.pyannote[245].speaker SPEAKER_06
transcript.pyannote[245].start 3208.62659375
transcript.pyannote[245].end 3208.67721875
transcript.pyannote[246].speaker SPEAKER_04
transcript.pyannote[246].start 3208.67721875
transcript.pyannote[246].end 3210.19596875
transcript.pyannote[247].speaker SPEAKER_06
transcript.pyannote[247].start 3211.93409375
transcript.pyannote[247].end 3212.35596875
transcript.pyannote[248].speaker SPEAKER_14
transcript.pyannote[248].start 3212.35596875
transcript.pyannote[248].end 3212.45721875
transcript.pyannote[249].speaker SPEAKER_04
transcript.pyannote[249].start 3216.32159375
transcript.pyannote[249].end 3216.35534375
transcript.pyannote[250].speaker SPEAKER_14
transcript.pyannote[250].start 3216.35534375
transcript.pyannote[250].end 3219.03846875
transcript.pyannote[251].speaker SPEAKER_29
transcript.pyannote[251].start 3217.23284375
transcript.pyannote[251].end 3217.36784375
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 3217.36784375
transcript.pyannote[252].end 3217.40159375
transcript.pyannote[253].speaker SPEAKER_29
transcript.pyannote[253].start 3217.40159375
transcript.pyannote[253].end 3217.65471875
transcript.pyannote[254].speaker SPEAKER_14
transcript.pyannote[254].start 3219.54471875
transcript.pyannote[254].end 3224.65784375
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 3225.02909375
transcript.pyannote[255].end 3229.23096875
transcript.pyannote[256].speaker SPEAKER_14
transcript.pyannote[256].start 3230.41221875
transcript.pyannote[256].end 3247.99596875
transcript.pyannote[257].speaker SPEAKER_14
transcript.pyannote[257].start 3248.72159375
transcript.pyannote[257].end 3255.04971875
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 3254.50971875
transcript.pyannote[258].end 3260.26409375
transcript.pyannote[259].speaker SPEAKER_14
transcript.pyannote[259].start 3260.82096875
transcript.pyannote[259].end 3266.17034375
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 3264.76971875
transcript.pyannote[260].end 3268.21221875
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 3268.95471875
transcript.pyannote[261].end 3270.20346875
transcript.pyannote[262].speaker SPEAKER_04
transcript.pyannote[262].start 3270.84471875
transcript.pyannote[262].end 3278.97846875
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 3279.48471875
transcript.pyannote[263].end 3280.75034375
transcript.pyannote[264].speaker SPEAKER_06
transcript.pyannote[264].start 3280.75034375
transcript.pyannote[264].end 3288.19221875
transcript.pyannote[265].speaker SPEAKER_06
transcript.pyannote[265].start 3288.79971875
transcript.pyannote[265].end 3314.19659375
transcript.pyannote[266].speaker SPEAKER_06
transcript.pyannote[266].start 3314.80409375
transcript.pyannote[266].end 3317.80784375
transcript.pyannote[267].speaker SPEAKER_06
transcript.pyannote[267].start 3317.99346875
transcript.pyannote[267].end 3323.03909375
transcript.pyannote[268].speaker SPEAKER_04
transcript.pyannote[268].start 3323.03909375
transcript.pyannote[268].end 3324.38909375
transcript.pyannote[269].speaker SPEAKER_04
transcript.pyannote[269].start 3324.70971875
transcript.pyannote[269].end 3328.84409375
transcript.pyannote[270].speaker SPEAKER_04
transcript.pyannote[270].start 3329.87346875
transcript.pyannote[270].end 3333.36659375
transcript.pyannote[271].speaker SPEAKER_04
transcript.pyannote[271].start 3334.36221875
transcript.pyannote[271].end 3336.01596875
transcript.pyannote[272].speaker SPEAKER_04
transcript.pyannote[272].start 3336.79221875
transcript.pyannote[272].end 3338.04096875
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 3338.96909375
transcript.pyannote[273].end 3340.65659375
transcript.pyannote[274].speaker SPEAKER_04
transcript.pyannote[274].start 3341.39909375
transcript.pyannote[274].end 3344.03159375
transcript.pyannote[275].speaker SPEAKER_04
transcript.pyannote[275].start 3345.01034375
transcript.pyannote[275].end 3347.59221875
transcript.pyannote[276].speaker SPEAKER_04
transcript.pyannote[276].start 3348.38534375
transcript.pyannote[276].end 3350.78159375
transcript.pyannote[277].speaker SPEAKER_04
transcript.pyannote[277].start 3351.35534375
transcript.pyannote[277].end 3352.57034375
transcript.pyannote[278].speaker SPEAKER_04
transcript.pyannote[278].start 3353.98784375
transcript.pyannote[278].end 3355.99596875
transcript.pyannote[279].speaker SPEAKER_04
transcript.pyannote[279].start 3356.95784375
transcript.pyannote[279].end 3357.85221875
transcript.pyannote[280].speaker SPEAKER_04
transcript.pyannote[280].start 3358.51034375
transcript.pyannote[280].end 3360.07971875
transcript.pyannote[281].speaker SPEAKER_04
transcript.pyannote[281].start 3360.83909375
transcript.pyannote[281].end 3363.35346875
transcript.pyannote[282].speaker SPEAKER_04
transcript.pyannote[282].start 3365.63159375
transcript.pyannote[282].end 3367.15034375
transcript.pyannote[283].speaker SPEAKER_04
transcript.pyannote[283].start 3370.45784375
transcript.pyannote[283].end 3370.89659375
transcript.pyannote[284].speaker SPEAKER_04
transcript.pyannote[284].start 3371.77409375
transcript.pyannote[284].end 3373.42784375
transcript.pyannote[285].speaker SPEAKER_04
transcript.pyannote[285].start 3374.87909375
transcript.pyannote[285].end 3386.94471875
transcript.pyannote[286].speaker SPEAKER_04
transcript.pyannote[286].start 3387.11346875
transcript.pyannote[286].end 3389.98221875
transcript.pyannote[287].speaker SPEAKER_04
transcript.pyannote[287].start 3391.14659375
transcript.pyannote[287].end 3396.27659375
transcript.pyannote[288].speaker SPEAKER_04
transcript.pyannote[288].start 3397.18784375
transcript.pyannote[288].end 3400.09034375
transcript.pyannote[289].speaker SPEAKER_04
transcript.pyannote[289].start 3400.46159375
transcript.pyannote[289].end 3404.83221875
transcript.pyannote[290].speaker SPEAKER_04
transcript.pyannote[290].start 3405.30471875
transcript.pyannote[290].end 3407.98784375
transcript.pyannote[291].speaker SPEAKER_04
transcript.pyannote[291].start 3408.12284375
transcript.pyannote[291].end 3417.92721875
transcript.pyannote[292].speaker SPEAKER_04
transcript.pyannote[292].start 3418.46721875
transcript.pyannote[292].end 3422.65221875
transcript.pyannote[293].speaker SPEAKER_04
transcript.pyannote[293].start 3423.10784375
transcript.pyannote[293].end 3428.47409375
transcript.pyannote[294].speaker SPEAKER_04
transcript.pyannote[294].start 3429.06471875
transcript.pyannote[294].end 3449.87159375
transcript.pyannote[295].speaker SPEAKER_04
transcript.pyannote[295].start 3450.34409375
transcript.pyannote[295].end 3451.96409375
transcript.pyannote[296].speaker SPEAKER_04
transcript.pyannote[296].start 3452.53784375
transcript.pyannote[296].end 3456.57096875
transcript.pyannote[297].speaker SPEAKER_11
transcript.pyannote[297].start 3457.36409375
transcript.pyannote[297].end 3457.38096875
transcript.pyannote[298].speaker SPEAKER_04
transcript.pyannote[298].start 3457.38096875
transcript.pyannote[298].end 3457.41471875
transcript.pyannote[299].speaker SPEAKER_11
transcript.pyannote[299].start 3457.41471875
transcript.pyannote[299].end 3457.78596875
transcript.pyannote[300].speaker SPEAKER_04
transcript.pyannote[300].start 3457.78596875
transcript.pyannote[300].end 3459.30471875
transcript.pyannote[301].speaker SPEAKER_04
transcript.pyannote[301].start 3459.96284375
transcript.pyannote[301].end 3463.64159375
transcript.pyannote[302].speaker SPEAKER_04
transcript.pyannote[302].start 3464.24909375
transcript.pyannote[302].end 3475.52159375
transcript.pyannote[303].speaker SPEAKER_04
transcript.pyannote[303].start 3475.96034375
transcript.pyannote[303].end 3476.80409375
transcript.pyannote[304].speaker SPEAKER_04
transcript.pyannote[304].start 3477.31034375
transcript.pyannote[304].end 3478.20471875
transcript.pyannote[305].speaker SPEAKER_04
transcript.pyannote[305].start 3478.59284375
transcript.pyannote[305].end 3482.38971875
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 3483.08159375
transcript.pyannote[306].end 3483.75659375
transcript.pyannote[307].speaker SPEAKER_04
transcript.pyannote[307].start 3484.22909375
transcript.pyannote[307].end 3484.85346875
transcript.pyannote[308].speaker SPEAKER_04
transcript.pyannote[308].start 3485.37659375
transcript.pyannote[308].end 3491.72159375
transcript.pyannote[309].speaker SPEAKER_04
transcript.pyannote[309].start 3492.59909375
transcript.pyannote[309].end 3508.37721875
transcript.pyannote[310].speaker SPEAKER_11
transcript.pyannote[310].start 3507.51659375
transcript.pyannote[310].end 3508.44471875
transcript.pyannote[311].speaker SPEAKER_11
transcript.pyannote[311].start 3508.86659375
transcript.pyannote[311].end 3516.54471875
transcript.pyannote[312].speaker SPEAKER_11
transcript.pyannote[312].start 3516.98346875
transcript.pyannote[312].end 3535.00596875
transcript.pyannote[313].speaker SPEAKER_04
transcript.pyannote[313].start 3534.58409375
transcript.pyannote[313].end 3537.89159375
transcript.pyannote[314].speaker SPEAKER_11
transcript.pyannote[314].start 3535.52909375
transcript.pyannote[314].end 3536.25471875
transcript.pyannote[315].speaker SPEAKER_11
transcript.pyannote[315].start 3540.52409375
transcript.pyannote[315].end 3541.03034375
transcript.pyannote[316].speaker SPEAKER_04
transcript.pyannote[316].start 3541.03034375
transcript.pyannote[316].end 3541.06409375
transcript.pyannote[317].speaker SPEAKER_11
transcript.pyannote[317].start 3541.06409375
transcript.pyannote[317].end 3541.13159375
transcript.pyannote[318].speaker SPEAKER_04
transcript.pyannote[318].start 3541.13159375
transcript.pyannote[318].end 3541.14846875
transcript.pyannote[319].speaker SPEAKER_11
transcript.pyannote[319].start 3541.14846875
transcript.pyannote[319].end 3541.16534375
transcript.pyannote[320].speaker SPEAKER_04
transcript.pyannote[320].start 3541.16534375
transcript.pyannote[320].end 3541.31721875
transcript.pyannote[321].speaker SPEAKER_04
transcript.pyannote[321].start 3541.36784375
transcript.pyannote[321].end 3543.46034375
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 3543.88221875
transcript.pyannote[322].end 3556.85909375
transcript.pyannote[323].speaker SPEAKER_04
transcript.pyannote[323].start 3557.19659375
transcript.pyannote[323].end 3566.12346875
transcript.pyannote[324].speaker SPEAKER_11
transcript.pyannote[324].start 3565.12784375
transcript.pyannote[324].end 3565.97159375
transcript.pyannote[325].speaker SPEAKER_11
transcript.pyannote[325].start 3566.12346875
transcript.pyannote[325].end 3566.76471875
transcript.pyannote[326].speaker SPEAKER_04
transcript.pyannote[326].start 3566.76471875
transcript.pyannote[326].end 3567.06846875
transcript.pyannote[327].speaker SPEAKER_04
transcript.pyannote[327].start 3567.54096875
transcript.pyannote[327].end 3569.05971875
transcript.pyannote[328].speaker SPEAKER_04
transcript.pyannote[328].start 3569.49846875
transcript.pyannote[328].end 3576.90659375
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 3577.73346875
transcript.pyannote[329].end 3584.82096875
transcript.pyannote[330].speaker SPEAKER_04
transcript.pyannote[330].start 3585.17534375
transcript.pyannote[330].end 3586.03596875
transcript.pyannote[331].speaker SPEAKER_04
transcript.pyannote[331].start 3586.17096875
transcript.pyannote[331].end 3591.85784375
transcript.pyannote[332].speaker SPEAKER_04
transcript.pyannote[332].start 3592.88721875
transcript.pyannote[332].end 3593.88284375
transcript.pyannote[333].speaker SPEAKER_04
transcript.pyannote[333].start 3594.25409375
transcript.pyannote[333].end 3597.67971875
transcript.pyannote[334].speaker SPEAKER_04
transcript.pyannote[334].start 3598.03409375
transcript.pyannote[334].end 3600.05909375
transcript.pyannote[335].speaker SPEAKER_04
transcript.pyannote[335].start 3600.93659375
transcript.pyannote[335].end 3602.26971875
transcript.pyannote[336].speaker SPEAKER_04
transcript.pyannote[336].start 3603.67034375
transcript.pyannote[336].end 3604.12596875
transcript.pyannote[337].speaker SPEAKER_04
transcript.pyannote[337].start 3604.73346875
transcript.pyannote[337].end 3607.41659375
transcript.pyannote[338].speaker SPEAKER_04
transcript.pyannote[338].start 3607.70346875
transcript.pyannote[338].end 3610.01534375
transcript.pyannote[339].speaker SPEAKER_04
transcript.pyannote[339].start 3610.53846875
transcript.pyannote[339].end 3614.75721875
transcript.pyannote[340].speaker SPEAKER_04
transcript.pyannote[340].start 3614.85846875
transcript.pyannote[340].end 3616.17471875
transcript.pyannote[341].speaker SPEAKER_04
transcript.pyannote[341].start 3616.74846875
transcript.pyannote[341].end 3618.31784375
transcript.pyannote[342].speaker SPEAKER_04
transcript.pyannote[342].start 3619.11096875
transcript.pyannote[342].end 3623.07659375
transcript.pyannote[343].speaker SPEAKER_04
transcript.pyannote[343].start 3623.65034375
transcript.pyannote[343].end 3625.92846875
transcript.pyannote[344].speaker SPEAKER_04
transcript.pyannote[344].start 3626.94096875
transcript.pyannote[344].end 3632.69534375
transcript.pyannote[345].speaker SPEAKER_04
transcript.pyannote[345].start 3633.38721875
transcript.pyannote[345].end 3639.42846875
transcript.pyannote[346].speaker SPEAKER_04
transcript.pyannote[346].start 3639.96846875
transcript.pyannote[346].end 3644.59221875
transcript.pyannote[347].speaker SPEAKER_04
transcript.pyannote[347].start 3645.04784375
transcript.pyannote[347].end 3646.80284375
transcript.pyannote[348].speaker SPEAKER_31
transcript.pyannote[348].start 3646.87034375
transcript.pyannote[348].end 3704.53221875
transcript.pyannote[349].speaker SPEAKER_31
transcript.pyannote[349].start 3704.80221875
transcript.pyannote[349].end 3748.35659375
transcript.pyannote[350].speaker SPEAKER_04
transcript.pyannote[350].start 3746.98971875
transcript.pyannote[350].end 3755.89971875
transcript.pyannote[351].speaker SPEAKER_31
transcript.pyannote[351].start 3748.86284375
transcript.pyannote[351].end 3748.98096875
transcript.pyannote[352].speaker SPEAKER_04
transcript.pyannote[352].start 3755.93346875
transcript.pyannote[352].end 3756.01784375
transcript.pyannote[353].speaker SPEAKER_17
transcript.pyannote[353].start 3756.01784375
transcript.pyannote[353].end 3756.45659375
transcript.pyannote[354].speaker SPEAKER_34
transcript.pyannote[354].start 3757.46909375
transcript.pyannote[354].end 3759.64596875
transcript.pyannote[355].speaker SPEAKER_04
transcript.pyannote[355].start 3767.84721875
transcript.pyannote[355].end 3770.41221875
transcript.pyannote[356].speaker SPEAKER_43
transcript.pyannote[356].start 3781.97159375
transcript.pyannote[356].end 3782.03909375
transcript.pyannote[357].speaker SPEAKER_43
transcript.pyannote[357].start 3782.15721875
transcript.pyannote[357].end 3782.41034375
transcript.pyannote[358].speaker SPEAKER_18
transcript.pyannote[358].start 3783.99659375
transcript.pyannote[358].end 3787.57409375
transcript.pyannote[359].speaker SPEAKER_06
transcript.pyannote[359].start 3792.56909375
transcript.pyannote[359].end 3792.60284375
transcript.pyannote[360].speaker SPEAKER_18
transcript.pyannote[360].start 3792.60284375
transcript.pyannote[360].end 3793.39596875
transcript.pyannote[361].speaker SPEAKER_18
transcript.pyannote[361].start 3794.02034375
transcript.pyannote[361].end 3794.45909375
transcript.pyannote[362].speaker SPEAKER_18
transcript.pyannote[362].start 3794.50971875
transcript.pyannote[362].end 3795.47159375
transcript.pyannote[363].speaker SPEAKER_03
transcript.pyannote[363].start 3795.97784375
transcript.pyannote[363].end 3796.02846875
transcript.pyannote[364].speaker SPEAKER_18
transcript.pyannote[364].start 3796.36596875
transcript.pyannote[364].end 3800.55096875
transcript.pyannote[365].speaker SPEAKER_18
transcript.pyannote[365].start 3800.98971875
transcript.pyannote[365].end 3806.81159375
transcript.pyannote[366].speaker SPEAKER_18
transcript.pyannote[366].start 3807.50346875
transcript.pyannote[366].end 3810.77721875
transcript.pyannote[367].speaker SPEAKER_18
transcript.pyannote[367].start 3811.23284375
transcript.pyannote[367].end 3813.05534375
transcript.pyannote[368].speaker SPEAKER_18
transcript.pyannote[368].start 3814.11846875
transcript.pyannote[368].end 3815.31659375
transcript.pyannote[369].speaker SPEAKER_18
transcript.pyannote[369].start 3815.83971875
transcript.pyannote[369].end 3818.33721875
transcript.pyannote[370].speaker SPEAKER_18
transcript.pyannote[370].start 3820.02471875
transcript.pyannote[370].end 3821.15534375
transcript.pyannote[371].speaker SPEAKER_18
transcript.pyannote[371].start 3821.83034375
transcript.pyannote[371].end 3822.26909375
transcript.pyannote[372].speaker SPEAKER_44
transcript.pyannote[372].start 3822.57284375
transcript.pyannote[372].end 3822.82596875
transcript.pyannote[373].speaker SPEAKER_18
transcript.pyannote[373].start 3822.82596875
transcript.pyannote[373].end 3824.83409375
transcript.pyannote[374].speaker SPEAKER_18
transcript.pyannote[374].start 3826.01534375
transcript.pyannote[374].end 3826.03221875
transcript.pyannote[375].speaker SPEAKER_06
transcript.pyannote[375].start 3826.03221875
transcript.pyannote[375].end 3826.63971875
transcript.pyannote[376].speaker SPEAKER_06
transcript.pyannote[376].start 3826.72409375
transcript.pyannote[376].end 3827.48346875
transcript.pyannote[377].speaker SPEAKER_06
transcript.pyannote[377].start 3827.92221875
transcript.pyannote[377].end 3828.58034375
transcript.pyannote[378].speaker SPEAKER_06
transcript.pyannote[378].start 3829.77846875
transcript.pyannote[378].end 3841.54034375
transcript.pyannote[379].speaker SPEAKER_18
transcript.pyannote[379].start 3839.85284375
transcript.pyannote[379].end 3846.72096875
transcript.pyannote[380].speaker SPEAKER_06
transcript.pyannote[380].start 3842.06346875
transcript.pyannote[380].end 3842.08034375
transcript.pyannote[381].speaker SPEAKER_18
transcript.pyannote[381].start 3847.54784375
transcript.pyannote[381].end 3850.29846875
transcript.pyannote[382].speaker SPEAKER_44
transcript.pyannote[382].start 3850.29846875
transcript.pyannote[382].end 3850.51784375
transcript.pyannote[383].speaker SPEAKER_18
transcript.pyannote[383].start 3850.51784375
transcript.pyannote[383].end 3851.69909375
transcript.pyannote[384].speaker SPEAKER_18
transcript.pyannote[384].start 3852.22221875
transcript.pyannote[384].end 3853.57221875
transcript.pyannote[385].speaker SPEAKER_18
transcript.pyannote[385].start 3854.26409375
transcript.pyannote[385].end 3859.98471875
transcript.pyannote[386].speaker SPEAKER_18
transcript.pyannote[386].start 3860.44034375
transcript.pyannote[386].end 3862.39784375
transcript.pyannote[387].speaker SPEAKER_18
transcript.pyannote[387].start 3862.93784375
transcript.pyannote[387].end 3864.03471875
transcript.pyannote[388].speaker SPEAKER_18
transcript.pyannote[388].start 3864.89534375
transcript.pyannote[388].end 3865.55346875
transcript.pyannote[389].speaker SPEAKER_18
transcript.pyannote[389].start 3867.69659375
transcript.pyannote[389].end 3868.32096875
transcript.pyannote[390].speaker SPEAKER_18
transcript.pyannote[390].start 3868.72596875
transcript.pyannote[390].end 3871.49346875
transcript.pyannote[391].speaker SPEAKER_18
transcript.pyannote[391].start 3871.81409375
transcript.pyannote[391].end 3872.33721875
transcript.pyannote[392].speaker SPEAKER_18
transcript.pyannote[392].start 3872.75909375
transcript.pyannote[392].end 3874.76721875
transcript.pyannote[393].speaker SPEAKER_18
transcript.pyannote[393].start 3875.22284375
transcript.pyannote[393].end 3880.96034375
transcript.pyannote[394].speaker SPEAKER_18
transcript.pyannote[394].start 3882.07409375
transcript.pyannote[394].end 3885.53346875
transcript.pyannote[395].speaker SPEAKER_18
transcript.pyannote[395].start 3885.82034375
transcript.pyannote[395].end 3887.03534375
transcript.pyannote[396].speaker SPEAKER_18
transcript.pyannote[396].start 3887.11971875
transcript.pyannote[396].end 3896.80596875
transcript.pyannote[397].speaker SPEAKER_18
transcript.pyannote[397].start 3897.16034375
transcript.pyannote[397].end 3898.71284375
transcript.pyannote[398].speaker SPEAKER_18
transcript.pyannote[398].start 3899.37096875
transcript.pyannote[398].end 3905.85096875
transcript.pyannote[399].speaker SPEAKER_18
transcript.pyannote[399].start 3906.45846875
transcript.pyannote[399].end 3908.36534375
transcript.pyannote[400].speaker SPEAKER_18
transcript.pyannote[400].start 3908.66909375
transcript.pyannote[400].end 3910.71096875
transcript.pyannote[401].speaker SPEAKER_18
transcript.pyannote[401].start 3911.16659375
transcript.pyannote[401].end 3916.75221875
transcript.pyannote[402].speaker SPEAKER_18
transcript.pyannote[402].start 3917.62971875
transcript.pyannote[402].end 3918.99659375
transcript.pyannote[403].speaker SPEAKER_18
transcript.pyannote[403].start 3919.89096875
transcript.pyannote[403].end 3920.63346875
transcript.pyannote[404].speaker SPEAKER_18
transcript.pyannote[404].start 3921.29159375
transcript.pyannote[404].end 3925.57784375
transcript.pyannote[405].speaker SPEAKER_06
transcript.pyannote[405].start 3926.65784375
transcript.pyannote[405].end 3934.26846875
transcript.pyannote[406].speaker SPEAKER_06
transcript.pyannote[406].start 3934.82534375
transcript.pyannote[406].end 3938.57159375
transcript.pyannote[407].speaker SPEAKER_06
transcript.pyannote[407].start 3938.89221875
transcript.pyannote[407].end 3943.95471875
transcript.pyannote[408].speaker SPEAKER_06
transcript.pyannote[408].start 3944.41034375
transcript.pyannote[408].end 3946.11471875
transcript.pyannote[409].speaker SPEAKER_06
transcript.pyannote[409].start 3946.40159375
transcript.pyannote[409].end 3960.57659375
transcript.pyannote[410].speaker SPEAKER_18
transcript.pyannote[410].start 3957.92721875
transcript.pyannote[410].end 3960.54284375
transcript.pyannote[411].speaker SPEAKER_18
transcript.pyannote[411].start 3960.57659375
transcript.pyannote[411].end 3963.19221875
transcript.pyannote[412].speaker SPEAKER_18
transcript.pyannote[412].start 3963.61409375
transcript.pyannote[412].end 3988.03221875
transcript.pyannote[413].speaker SPEAKER_18
transcript.pyannote[413].start 3988.30221875
transcript.pyannote[413].end 3990.85034375
transcript.pyannote[414].speaker SPEAKER_18
transcript.pyannote[414].start 3991.39034375
transcript.pyannote[414].end 4019.08221875
transcript.pyannote[415].speaker SPEAKER_18
transcript.pyannote[415].start 4019.90909375
transcript.pyannote[415].end 4044.69846875
transcript.pyannote[416].speaker SPEAKER_18
transcript.pyannote[416].start 4045.27221875
transcript.pyannote[416].end 4061.26971875
transcript.pyannote[417].speaker SPEAKER_18
transcript.pyannote[417].start 4061.59034375
transcript.pyannote[417].end 4064.00346875
transcript.pyannote[418].speaker SPEAKER_06
transcript.pyannote[418].start 4065.03284375
transcript.pyannote[418].end 4090.21034375
transcript.pyannote[419].speaker SPEAKER_18
transcript.pyannote[419].start 4068.49221875
transcript.pyannote[419].end 4069.89284375
transcript.pyannote[420].speaker SPEAKER_18
transcript.pyannote[420].start 4070.21346875
transcript.pyannote[420].end 4071.44534375
transcript.pyannote[421].speaker SPEAKER_19
transcript.pyannote[421].start 4071.44534375
transcript.pyannote[421].end 4071.46221875
transcript.pyannote[422].speaker SPEAKER_06
transcript.pyannote[422].start 4090.46346875
transcript.pyannote[422].end 4110.56159375
transcript.pyannote[423].speaker SPEAKER_18
transcript.pyannote[423].start 4110.56159375
transcript.pyannote[423].end 4124.95596875
transcript.pyannote[424].speaker SPEAKER_18
transcript.pyannote[424].start 4125.64784375
transcript.pyannote[424].end 4129.88346875
transcript.pyannote[425].speaker SPEAKER_00
transcript.pyannote[425].start 4129.09034375
transcript.pyannote[425].end 4129.32659375
transcript.pyannote[426].speaker SPEAKER_18
transcript.pyannote[426].start 4130.17034375
transcript.pyannote[426].end 4155.97221875
transcript.pyannote[427].speaker SPEAKER_18
transcript.pyannote[427].start 4156.34346875
transcript.pyannote[427].end 4158.21659375
transcript.pyannote[428].speaker SPEAKER_18
transcript.pyannote[428].start 4158.25034375
transcript.pyannote[428].end 4161.06846875
transcript.pyannote[429].speaker SPEAKER_18
transcript.pyannote[429].start 4161.43971875
transcript.pyannote[429].end 4172.54346875
transcript.pyannote[430].speaker SPEAKER_06
transcript.pyannote[430].start 4172.54346875
transcript.pyannote[430].end 4183.86659375
transcript.pyannote[431].speaker SPEAKER_06
transcript.pyannote[431].start 4184.00159375
transcript.pyannote[431].end 4194.46409375
transcript.pyannote[432].speaker SPEAKER_18
transcript.pyannote[432].start 4193.19846875
transcript.pyannote[432].end 4216.97534375
transcript.pyannote[433].speaker SPEAKER_44
transcript.pyannote[433].start 4217.43096875
transcript.pyannote[433].end 4217.65034375
transcript.pyannote[434].speaker SPEAKER_18
transcript.pyannote[434].start 4217.65034375
transcript.pyannote[434].end 4219.03409375
transcript.pyannote[435].speaker SPEAKER_06
transcript.pyannote[435].start 4219.03409375
transcript.pyannote[435].end 4221.76784375
transcript.pyannote[436].speaker SPEAKER_18
transcript.pyannote[436].start 4221.76784375
transcript.pyannote[436].end 4222.44284375
transcript.pyannote[437].speaker SPEAKER_44
transcript.pyannote[437].start 4221.81846875
transcript.pyannote[437].end 4221.83534375
transcript.pyannote[438].speaker SPEAKER_06
transcript.pyannote[438].start 4221.83534375
transcript.pyannote[438].end 4226.42534375
transcript.pyannote[439].speaker SPEAKER_18
transcript.pyannote[439].start 4224.82221875
transcript.pyannote[439].end 4230.35721875
transcript.pyannote[440].speaker SPEAKER_06
transcript.pyannote[440].start 4229.93534375
transcript.pyannote[440].end 4231.03221875
transcript.pyannote[441].speaker SPEAKER_18
transcript.pyannote[441].start 4230.44159375
transcript.pyannote[441].end 4233.69846875
transcript.pyannote[442].speaker SPEAKER_06
transcript.pyannote[442].start 4233.15846875
transcript.pyannote[442].end 4233.91784375
transcript.pyannote[443].speaker SPEAKER_18
transcript.pyannote[443].start 4233.91784375
transcript.pyannote[443].end 4234.94721875
transcript.pyannote[444].speaker SPEAKER_06
transcript.pyannote[444].start 4234.05284375
transcript.pyannote[444].end 4234.60971875
transcript.pyannote[445].speaker SPEAKER_18
transcript.pyannote[445].start 4237.00596875
transcript.pyannote[445].end 4237.52909375
transcript.pyannote[446].speaker SPEAKER_18
transcript.pyannote[446].start 4238.03534375
transcript.pyannote[446].end 4238.91284375
transcript.pyannote[447].speaker SPEAKER_18
transcript.pyannote[447].start 4239.80721875
transcript.pyannote[447].end 4246.10159375
transcript.pyannote[448].speaker SPEAKER_18
transcript.pyannote[448].start 4246.15221875
transcript.pyannote[448].end 4246.57409375
transcript.pyannote[449].speaker SPEAKER_44
transcript.pyannote[449].start 4246.18596875
transcript.pyannote[449].end 4247.06346875
transcript.pyannote[450].speaker SPEAKER_18
transcript.pyannote[450].start 4246.92846875
transcript.pyannote[450].end 4260.81659375
transcript.pyannote[451].speaker SPEAKER_18
transcript.pyannote[451].start 4261.49159375
transcript.pyannote[451].end 4262.30159375
transcript.pyannote[452].speaker SPEAKER_18
transcript.pyannote[452].start 4262.95971875
transcript.pyannote[452].end 4265.10284375
transcript.pyannote[453].speaker SPEAKER_18
transcript.pyannote[453].start 4265.11971875
transcript.pyannote[453].end 4265.72721875
transcript.pyannote[454].speaker SPEAKER_18
transcript.pyannote[454].start 4266.19971875
transcript.pyannote[454].end 4268.81534375
transcript.pyannote[455].speaker SPEAKER_18
transcript.pyannote[455].start 4269.25409375
transcript.pyannote[455].end 4270.45221875
transcript.pyannote[456].speaker SPEAKER_18
transcript.pyannote[456].start 4271.12721875
transcript.pyannote[456].end 4276.93221875
transcript.pyannote[457].speaker SPEAKER_18
transcript.pyannote[457].start 4277.47221875
transcript.pyannote[457].end 4285.38659375
transcript.pyannote[458].speaker SPEAKER_18
transcript.pyannote[458].start 4286.33159375
transcript.pyannote[458].end 4297.60409375
transcript.pyannote[459].speaker SPEAKER_18
transcript.pyannote[459].start 4297.67159375
transcript.pyannote[459].end 4299.17346875
transcript.pyannote[460].speaker SPEAKER_18
transcript.pyannote[460].start 4299.57846875
transcript.pyannote[460].end 4300.97909375
transcript.pyannote[461].speaker SPEAKER_18
transcript.pyannote[461].start 4301.53596875
transcript.pyannote[461].end 4324.60409375
transcript.pyannote[462].speaker SPEAKER_18
transcript.pyannote[462].start 4324.94159375
transcript.pyannote[462].end 4329.22784375
transcript.pyannote[463].speaker SPEAKER_18
transcript.pyannote[463].start 4329.37971875
transcript.pyannote[463].end 4333.58159375
transcript.pyannote[464].speaker SPEAKER_44
transcript.pyannote[464].start 4333.51409375
transcript.pyannote[464].end 4333.91909375
transcript.pyannote[465].speaker SPEAKER_18
transcript.pyannote[465].start 4333.80096875
transcript.pyannote[465].end 4353.93284375
transcript.pyannote[466].speaker SPEAKER_18
transcript.pyannote[466].start 4354.70909375
transcript.pyannote[466].end 4358.03346875
transcript.pyannote[467].speaker SPEAKER_18
transcript.pyannote[467].start 4358.40471875
transcript.pyannote[467].end 4361.89784375
transcript.pyannote[468].speaker SPEAKER_18
transcript.pyannote[468].start 4364.34471875
transcript.pyannote[468].end 4364.78346875
transcript.pyannote[469].speaker SPEAKER_18
transcript.pyannote[469].start 4364.96909375
transcript.pyannote[469].end 4365.01971875
transcript.pyannote[470].speaker SPEAKER_18
transcript.pyannote[470].start 4366.38659375
transcript.pyannote[470].end 4369.66034375
transcript.pyannote[471].speaker SPEAKER_19
transcript.pyannote[471].start 4367.87159375
transcript.pyannote[471].end 4368.04034375
transcript.pyannote[472].speaker SPEAKER_44
transcript.pyannote[472].start 4368.04034375
transcript.pyannote[472].end 4368.36096875
transcript.pyannote[473].speaker SPEAKER_19
transcript.pyannote[473].start 4368.36096875
transcript.pyannote[473].end 4368.58034375
transcript.pyannote[474].speaker SPEAKER_18
transcript.pyannote[474].start 4370.87534375
transcript.pyannote[474].end 4372.52909375
transcript.pyannote[475].speaker SPEAKER_18
transcript.pyannote[475].start 4373.67659375
transcript.pyannote[475].end 4377.18659375
transcript.pyannote[476].speaker SPEAKER_18
transcript.pyannote[476].start 4377.69284375
transcript.pyannote[476].end 4378.30034375
transcript.pyannote[477].speaker SPEAKER_18
transcript.pyannote[477].start 4378.38471875
transcript.pyannote[477].end 4380.52784375
transcript.pyannote[478].speaker SPEAKER_18
transcript.pyannote[478].start 4381.55721875
transcript.pyannote[478].end 4381.87784375
transcript.pyannote[479].speaker SPEAKER_18
transcript.pyannote[479].start 4382.72159375
transcript.pyannote[479].end 4384.18971875
transcript.pyannote[480].speaker SPEAKER_18
transcript.pyannote[480].start 4384.49346875
transcript.pyannote[480].end 4387.64909375
transcript.pyannote[481].speaker SPEAKER_18
transcript.pyannote[481].start 4388.39159375
transcript.pyannote[481].end 4389.37034375
transcript.pyannote[482].speaker SPEAKER_18
transcript.pyannote[482].start 4389.89346875
transcript.pyannote[482].end 4390.97346875
transcript.pyannote[483].speaker SPEAKER_18
transcript.pyannote[483].start 4391.85096875
transcript.pyannote[483].end 4396.64346875
transcript.pyannote[484].speaker SPEAKER_18
transcript.pyannote[484].start 4397.60534375
transcript.pyannote[484].end 4407.52784375
transcript.pyannote[485].speaker SPEAKER_18
transcript.pyannote[485].start 4408.18596875
transcript.pyannote[485].end 4408.79346875
transcript.pyannote[486].speaker SPEAKER_18
transcript.pyannote[486].start 4409.21534375
transcript.pyannote[486].end 4417.06221875
transcript.pyannote[487].speaker SPEAKER_18
transcript.pyannote[487].start 4417.51784375
transcript.pyannote[487].end 4417.78784375
transcript.pyannote[488].speaker SPEAKER_18
transcript.pyannote[488].start 4418.58096875
transcript.pyannote[488].end 4421.78721875
transcript.pyannote[489].speaker SPEAKER_18
transcript.pyannote[489].start 4422.25971875
transcript.pyannote[489].end 4457.73096875
transcript.pyannote[490].speaker SPEAKER_06
transcript.pyannote[490].start 4457.39346875
transcript.pyannote[490].end 4459.13159375
transcript.pyannote[491].speaker SPEAKER_04
transcript.pyannote[491].start 4457.73096875
transcript.pyannote[491].end 4457.81534375
transcript.pyannote[492].speaker SPEAKER_18
transcript.pyannote[492].start 4457.91659375
transcript.pyannote[492].end 4458.74346875
transcript.pyannote[493].speaker SPEAKER_04
transcript.pyannote[493].start 4458.74346875
transcript.pyannote[493].end 4458.76034375
transcript.pyannote[494].speaker SPEAKER_04
transcript.pyannote[494].start 4460.78534375
transcript.pyannote[494].end 4462.77659375
transcript.pyannote[495].speaker SPEAKER_04
transcript.pyannote[495].start 4462.96221875
transcript.pyannote[495].end 4466.08409375
transcript.pyannote[496].speaker SPEAKER_37
transcript.pyannote[496].start 4473.64409375
transcript.pyannote[496].end 4478.72346875
transcript.pyannote[497].speaker SPEAKER_04
transcript.pyannote[497].start 4477.82909375
transcript.pyannote[497].end 4478.14971875
transcript.pyannote[498].speaker SPEAKER_37
transcript.pyannote[498].start 4480.69784375
transcript.pyannote[498].end 4481.60909375
transcript.pyannote[499].speaker SPEAKER_37
transcript.pyannote[499].start 4481.92971875
transcript.pyannote[499].end 4484.81534375
transcript.pyannote[500].speaker SPEAKER_04
transcript.pyannote[500].start 4482.68909375
transcript.pyannote[500].end 4483.71846875
transcript.pyannote[501].speaker SPEAKER_37
transcript.pyannote[501].start 4485.69284375
transcript.pyannote[501].end 4513.14846875
transcript.pyannote[502].speaker SPEAKER_37
transcript.pyannote[502].start 4513.46909375
transcript.pyannote[502].end 4518.36284375
transcript.pyannote[503].speaker SPEAKER_37
transcript.pyannote[503].start 4518.46409375
transcript.pyannote[503].end 4520.26971875
transcript.pyannote[504].speaker SPEAKER_37
transcript.pyannote[504].start 4520.45534375
transcript.pyannote[504].end 4530.51284375
transcript.pyannote[505].speaker SPEAKER_06
transcript.pyannote[505].start 4530.83346875
transcript.pyannote[505].end 4560.26346875
transcript.pyannote[506].speaker SPEAKER_37
transcript.pyannote[506].start 4535.22096875
transcript.pyannote[506].end 4535.40659375
transcript.pyannote[507].speaker SPEAKER_37
transcript.pyannote[507].start 4559.26784375
transcript.pyannote[507].end 4563.50346875
transcript.pyannote[508].speaker SPEAKER_06
transcript.pyannote[508].start 4560.29721875
transcript.pyannote[508].end 4560.34784375
transcript.pyannote[509].speaker SPEAKER_06
transcript.pyannote[509].start 4564.53284375
transcript.pyannote[509].end 4584.58034375
transcript.pyannote[510].speaker SPEAKER_00
transcript.pyannote[510].start 4579.55159375
transcript.pyannote[510].end 4579.61909375
transcript.pyannote[511].speaker SPEAKER_37
transcript.pyannote[511].start 4579.61909375
transcript.pyannote[511].end 4580.10846875
transcript.pyannote[512].speaker SPEAKER_37
transcript.pyannote[512].start 4582.06596875
transcript.pyannote[512].end 4585.93034375
transcript.pyannote[513].speaker SPEAKER_37
transcript.pyannote[513].start 4586.16659375
transcript.pyannote[513].end 4586.58846875
transcript.pyannote[514].speaker SPEAKER_06
transcript.pyannote[514].start 4586.28471875
transcript.pyannote[514].end 4593.25409375
transcript.pyannote[515].speaker SPEAKER_37
transcript.pyannote[515].start 4592.32596875
transcript.pyannote[515].end 4603.46346875
transcript.pyannote[516].speaker SPEAKER_37
transcript.pyannote[516].start 4603.68284375
transcript.pyannote[516].end 4609.79159375
transcript.pyannote[517].speaker SPEAKER_06
transcript.pyannote[517].start 4610.95596875
transcript.pyannote[517].end 4620.20346875
transcript.pyannote[518].speaker SPEAKER_06
transcript.pyannote[518].start 4620.57471875
transcript.pyannote[518].end 4627.54409375
transcript.pyannote[519].speaker SPEAKER_37
transcript.pyannote[519].start 4627.54409375
transcript.pyannote[519].end 4634.22659375
transcript.pyannote[520].speaker SPEAKER_06
transcript.pyannote[520].start 4634.37846875
transcript.pyannote[520].end 4635.81284375
transcript.pyannote[521].speaker SPEAKER_06
transcript.pyannote[521].start 4636.21784375
transcript.pyannote[521].end 4654.69596875
transcript.pyannote[522].speaker SPEAKER_37
transcript.pyannote[522].start 4637.24721875
transcript.pyannote[522].end 4638.14159375
transcript.pyannote[523].speaker SPEAKER_37
transcript.pyannote[523].start 4639.67721875
transcript.pyannote[523].end 4640.16659375
transcript.pyannote[524].speaker SPEAKER_00
transcript.pyannote[524].start 4640.16659375
transcript.pyannote[524].end 4640.20034375
transcript.pyannote[525].speaker SPEAKER_44
transcript.pyannote[525].start 4654.32471875
transcript.pyannote[525].end 4654.94909375
transcript.pyannote[526].speaker SPEAKER_06
transcript.pyannote[526].start 4654.94909375
transcript.pyannote[526].end 4659.01596875
transcript.pyannote[527].speaker SPEAKER_06
transcript.pyannote[527].start 4659.40409375
transcript.pyannote[527].end 4669.83284375
transcript.pyannote[528].speaker SPEAKER_06
transcript.pyannote[528].start 4670.15346875
transcript.pyannote[528].end 4678.64159375
transcript.pyannote[529].speaker SPEAKER_37
transcript.pyannote[529].start 4673.10659375
transcript.pyannote[529].end 4673.95034375
transcript.pyannote[530].speaker SPEAKER_37
transcript.pyannote[530].start 4678.30409375
transcript.pyannote[530].end 4678.62471875
transcript.pyannote[531].speaker SPEAKER_37
transcript.pyannote[531].start 4678.64159375
transcript.pyannote[531].end 4679.21534375
transcript.pyannote[532].speaker SPEAKER_06
transcript.pyannote[532].start 4679.21534375
transcript.pyannote[532].end 4682.84346875
transcript.pyannote[533].speaker SPEAKER_37
transcript.pyannote[533].start 4680.24471875
transcript.pyannote[533].end 4681.24034375
transcript.pyannote[534].speaker SPEAKER_37
transcript.pyannote[534].start 4682.37096875
transcript.pyannote[534].end 4682.74221875
transcript.pyannote[535].speaker SPEAKER_37
transcript.pyannote[535].start 4682.84346875
transcript.pyannote[535].end 4685.96534375
transcript.pyannote[536].speaker SPEAKER_06
transcript.pyannote[536].start 4685.96534375
transcript.pyannote[536].end 4689.79596875
transcript.pyannote[537].speaker SPEAKER_37
transcript.pyannote[537].start 4685.98221875
transcript.pyannote[537].end 4686.60659375
transcript.pyannote[538].speaker SPEAKER_06
transcript.pyannote[538].start 4689.98159375
transcript.pyannote[538].end 4692.46221875
transcript.pyannote[539].speaker SPEAKER_37
transcript.pyannote[539].start 4692.29346875
transcript.pyannote[539].end 4693.03596875
transcript.pyannote[540].speaker SPEAKER_06
transcript.pyannote[540].start 4693.03596875
transcript.pyannote[540].end 4693.05284375
transcript.pyannote[541].speaker SPEAKER_06
transcript.pyannote[541].start 4693.82909375
transcript.pyannote[541].end 4696.76534375
transcript.pyannote[542].speaker SPEAKER_37
transcript.pyannote[542].start 4696.47846875
transcript.pyannote[542].end 4696.79909375
transcript.pyannote[543].speaker SPEAKER_06
transcript.pyannote[543].start 4696.79909375
transcript.pyannote[543].end 4696.86659375
transcript.pyannote[544].speaker SPEAKER_37
transcript.pyannote[544].start 4697.00159375
transcript.pyannote[544].end 4697.03534375
transcript.pyannote[545].speaker SPEAKER_06
transcript.pyannote[545].start 4697.03534375
transcript.pyannote[545].end 4697.32221875
transcript.pyannote[546].speaker SPEAKER_37
transcript.pyannote[546].start 4697.89596875
transcript.pyannote[546].end 4699.63409375
transcript.pyannote[547].speaker SPEAKER_37
transcript.pyannote[547].start 4699.93784375
transcript.pyannote[547].end 4708.03784375
transcript.pyannote[548].speaker SPEAKER_37
transcript.pyannote[548].start 4708.40909375
transcript.pyannote[548].end 4709.53971875
transcript.pyannote[549].speaker SPEAKER_19
transcript.pyannote[549].start 4709.67471875
transcript.pyannote[549].end 4709.99534375
transcript.pyannote[550].speaker SPEAKER_37
transcript.pyannote[550].start 4709.80971875
transcript.pyannote[550].end 4711.69971875
transcript.pyannote[551].speaker SPEAKER_37
transcript.pyannote[551].start 4712.12159375
transcript.pyannote[551].end 4714.23096875
transcript.pyannote[552].speaker SPEAKER_37
transcript.pyannote[552].start 4714.97346875
transcript.pyannote[552].end 4719.00659375
transcript.pyannote[553].speaker SPEAKER_37
transcript.pyannote[553].start 4719.47909375
transcript.pyannote[553].end 4723.83284375
transcript.pyannote[554].speaker SPEAKER_06
transcript.pyannote[554].start 4723.71471875
transcript.pyannote[554].end 4729.24971875
transcript.pyannote[555].speaker SPEAKER_06
transcript.pyannote[555].start 4729.46909375
transcript.pyannote[555].end 4732.03409375
transcript.pyannote[556].speaker SPEAKER_06
transcript.pyannote[556].start 4732.59096875
transcript.pyannote[556].end 4738.24409375
transcript.pyannote[557].speaker SPEAKER_06
transcript.pyannote[557].start 4738.78409375
transcript.pyannote[557].end 4768.97346875
transcript.pyannote[558].speaker SPEAKER_37
transcript.pyannote[558].start 4768.97346875
transcript.pyannote[558].end 4769.76659375
transcript.pyannote[559].speaker SPEAKER_06
transcript.pyannote[559].start 4769.76659375
transcript.pyannote[559].end 4769.81721875
transcript.pyannote[560].speaker SPEAKER_37
transcript.pyannote[560].start 4769.81721875
transcript.pyannote[560].end 4772.02784375
transcript.pyannote[561].speaker SPEAKER_06
transcript.pyannote[561].start 4772.56784375
transcript.pyannote[561].end 4774.23846875
transcript.pyannote[562].speaker SPEAKER_37
transcript.pyannote[562].start 4772.73659375
transcript.pyannote[562].end 4773.09096875
transcript.pyannote[563].speaker SPEAKER_37
transcript.pyannote[563].start 4774.23846875
transcript.pyannote[563].end 4775.36909375
transcript.pyannote[564].speaker SPEAKER_06
transcript.pyannote[564].start 4774.35659375
transcript.pyannote[564].end 4775.94284375
transcript.pyannote[565].speaker SPEAKER_37
transcript.pyannote[565].start 4775.84159375
transcript.pyannote[565].end 4780.12784375
transcript.pyannote[566].speaker SPEAKER_37
transcript.pyannote[566].start 4780.17846875
transcript.pyannote[566].end 4781.83221875
transcript.pyannote[567].speaker SPEAKER_06
transcript.pyannote[567].start 4782.64221875
transcript.pyannote[567].end 4785.07221875
transcript.pyannote[568].speaker SPEAKER_37
transcript.pyannote[568].start 4784.75159375
transcript.pyannote[568].end 4785.05534375
transcript.pyannote[569].speaker SPEAKER_37
transcript.pyannote[569].start 4785.07221875
transcript.pyannote[569].end 4785.08909375
transcript.pyannote[570].speaker SPEAKER_06
transcript.pyannote[570].start 4785.08909375
transcript.pyannote[570].end 4786.50659375
transcript.pyannote[571].speaker SPEAKER_06
transcript.pyannote[571].start 4787.36721875
transcript.pyannote[571].end 4787.60346875
transcript.pyannote[572].speaker SPEAKER_37
transcript.pyannote[572].start 4787.60346875
transcript.pyannote[572].end 4793.07096875
transcript.pyannote[573].speaker SPEAKER_06
transcript.pyannote[573].start 4788.02534375
transcript.pyannote[573].end 4788.12659375
transcript.pyannote[574].speaker SPEAKER_37
transcript.pyannote[574].start 4793.81346875
transcript.pyannote[574].end 4800.12471875
transcript.pyannote[575].speaker SPEAKER_44
transcript.pyannote[575].start 4800.37784375
transcript.pyannote[575].end 4800.49596875
transcript.pyannote[576].speaker SPEAKER_06
transcript.pyannote[576].start 4800.49596875
transcript.pyannote[576].end 4800.66471875
transcript.pyannote[577].speaker SPEAKER_37
transcript.pyannote[577].start 4800.64784375
transcript.pyannote[577].end 4802.85846875
transcript.pyannote[578].speaker SPEAKER_44
transcript.pyannote[578].start 4800.66471875
transcript.pyannote[578].end 4800.69846875
transcript.pyannote[579].speaker SPEAKER_37
transcript.pyannote[579].start 4802.89221875
transcript.pyannote[579].end 4803.87096875
transcript.pyannote[580].speaker SPEAKER_37
transcript.pyannote[580].start 4804.36034375
transcript.pyannote[580].end 4804.98471875
transcript.pyannote[581].speaker SPEAKER_06
transcript.pyannote[581].start 4805.35596875
transcript.pyannote[581].end 4815.86909375
transcript.pyannote[582].speaker SPEAKER_37
transcript.pyannote[582].start 4812.44346875
transcript.pyannote[582].end 4812.59534375
transcript.pyannote[583].speaker SPEAKER_37
transcript.pyannote[583].start 4815.43034375
transcript.pyannote[583].end 4820.66159375
transcript.pyannote[584].speaker SPEAKER_06
transcript.pyannote[584].start 4820.66159375
transcript.pyannote[584].end 4820.84721875
transcript.pyannote[585].speaker SPEAKER_06
transcript.pyannote[585].start 4821.26909375
transcript.pyannote[585].end 4834.58346875
transcript.pyannote[586].speaker SPEAKER_37
transcript.pyannote[586].start 4821.33659375
transcript.pyannote[586].end 4821.85971875
transcript.pyannote[587].speaker SPEAKER_06
transcript.pyannote[587].start 4834.61721875
transcript.pyannote[587].end 4835.00534375
transcript.pyannote[588].speaker SPEAKER_37
transcript.pyannote[588].start 4835.00534375
transcript.pyannote[588].end 4838.61659375
transcript.pyannote[589].speaker SPEAKER_37
transcript.pyannote[589].start 4839.57846875
transcript.pyannote[589].end 4839.61221875
transcript.pyannote[590].speaker SPEAKER_06
transcript.pyannote[590].start 4839.61221875
transcript.pyannote[590].end 4839.98346875
transcript.pyannote[591].speaker SPEAKER_06
transcript.pyannote[591].start 4840.48971875
transcript.pyannote[591].end 4840.59096875
transcript.pyannote[592].speaker SPEAKER_06
transcript.pyannote[592].start 4840.92846875
transcript.pyannote[592].end 4848.23534375
transcript.pyannote[593].speaker SPEAKER_37
transcript.pyannote[593].start 4841.67096875
transcript.pyannote[593].end 4841.90721875
transcript.pyannote[594].speaker SPEAKER_37
transcript.pyannote[594].start 4848.20159375
transcript.pyannote[594].end 4849.04534375
transcript.pyannote[595].speaker SPEAKER_37
transcript.pyannote[595].start 4849.38284375
transcript.pyannote[595].end 4860.04784375
transcript.pyannote[596].speaker SPEAKER_06
transcript.pyannote[596].start 4860.04784375
transcript.pyannote[596].end 4860.14909375
transcript.pyannote[597].speaker SPEAKER_37
transcript.pyannote[597].start 4860.14909375
transcript.pyannote[597].end 4860.33471875
transcript.pyannote[598].speaker SPEAKER_06
transcript.pyannote[598].start 4860.33471875
transcript.pyannote[598].end 4860.87471875
transcript.pyannote[599].speaker SPEAKER_37
transcript.pyannote[599].start 4860.72284375
transcript.pyannote[599].end 4860.97596875
transcript.pyannote[600].speaker SPEAKER_28
transcript.pyannote[600].start 4860.87471875
transcript.pyannote[600].end 4861.27971875
transcript.pyannote[601].speaker SPEAKER_06
transcript.pyannote[601].start 4860.97596875
transcript.pyannote[601].end 4868.58659375
transcript.pyannote[602].speaker SPEAKER_06
transcript.pyannote[602].start 4869.00846875
transcript.pyannote[602].end 4873.00784375
transcript.pyannote[603].speaker SPEAKER_37
transcript.pyannote[603].start 4873.00784375
transcript.pyannote[603].end 4877.32784375
transcript.pyannote[604].speaker SPEAKER_06
transcript.pyannote[604].start 4875.64034375
transcript.pyannote[604].end 4876.21409375
transcript.pyannote[605].speaker SPEAKER_06
transcript.pyannote[605].start 4877.32784375
transcript.pyannote[605].end 4877.63159375
transcript.pyannote[606].speaker SPEAKER_06
transcript.pyannote[606].start 4877.74971875
transcript.pyannote[606].end 4879.70721875
transcript.pyannote[607].speaker SPEAKER_06
transcript.pyannote[607].start 4880.09534375
transcript.pyannote[607].end 4891.68846875
transcript.pyannote[608].speaker SPEAKER_37
transcript.pyannote[608].start 4888.88721875
transcript.pyannote[608].end 4893.34221875
transcript.pyannote[609].speaker SPEAKER_06
transcript.pyannote[609].start 4892.95409375
transcript.pyannote[609].end 4898.48909375
transcript.pyannote[610].speaker SPEAKER_37
transcript.pyannote[610].start 4898.48909375
transcript.pyannote[610].end 4903.93971875
transcript.pyannote[611].speaker SPEAKER_06
transcript.pyannote[611].start 4905.27284375
transcript.pyannote[611].end 4908.47909375
transcript.pyannote[612].speaker SPEAKER_37
transcript.pyannote[612].start 4907.60159375
transcript.pyannote[612].end 4915.71846875
transcript.pyannote[613].speaker SPEAKER_06
transcript.pyannote[613].start 4915.29659375
transcript.pyannote[613].end 4917.08534375
transcript.pyannote[614].speaker SPEAKER_37
transcript.pyannote[614].start 4916.52846875
transcript.pyannote[614].end 4921.84409375
transcript.pyannote[615].speaker SPEAKER_37
transcript.pyannote[615].start 4922.65409375
transcript.pyannote[615].end 4925.50596875
transcript.pyannote[616].speaker SPEAKER_37
transcript.pyannote[616].start 4925.62409375
transcript.pyannote[616].end 4928.61096875
transcript.pyannote[617].speaker SPEAKER_37
transcript.pyannote[617].start 4929.23534375
transcript.pyannote[617].end 4940.28846875
transcript.pyannote[618].speaker SPEAKER_37
transcript.pyannote[618].start 4941.33471875
transcript.pyannote[618].end 4942.53284375
transcript.pyannote[619].speaker SPEAKER_37
transcript.pyannote[619].start 4943.17409375
transcript.pyannote[619].end 4944.77721875
transcript.pyannote[620].speaker SPEAKER_35
transcript.pyannote[620].start 4944.86159375
transcript.pyannote[620].end 4945.06409375
transcript.pyannote[621].speaker SPEAKER_06
transcript.pyannote[621].start 4945.06409375
transcript.pyannote[621].end 4945.08096875
transcript.pyannote[622].speaker SPEAKER_35
transcript.pyannote[622].start 4945.28346875
transcript.pyannote[622].end 4945.73909375
transcript.pyannote[623].speaker SPEAKER_37
transcript.pyannote[623].start 4945.70534375
transcript.pyannote[623].end 4951.10534375
transcript.pyannote[624].speaker SPEAKER_06
transcript.pyannote[624].start 4945.73909375
transcript.pyannote[624].end 4945.95846875
transcript.pyannote[625].speaker SPEAKER_06
transcript.pyannote[625].start 4949.45159375
transcript.pyannote[625].end 4949.46846875
transcript.pyannote[626].speaker SPEAKER_06
transcript.pyannote[626].start 4949.48534375
transcript.pyannote[626].end 4949.55284375
transcript.pyannote[627].speaker SPEAKER_06
transcript.pyannote[627].start 4951.10534375
transcript.pyannote[627].end 4956.28596875
transcript.pyannote[628].speaker SPEAKER_37
transcript.pyannote[628].start 4956.28596875
transcript.pyannote[628].end 4962.63096875
transcript.pyannote[629].speaker SPEAKER_06
transcript.pyannote[629].start 4957.95659375
transcript.pyannote[629].end 4958.20971875
transcript.pyannote[630].speaker SPEAKER_37
transcript.pyannote[630].start 4962.98534375
transcript.pyannote[630].end 4967.32221875
transcript.pyannote[631].speaker SPEAKER_06
transcript.pyannote[631].start 4965.51659375
transcript.pyannote[631].end 4973.70096875
transcript.pyannote[632].speaker SPEAKER_06
transcript.pyannote[632].start 4973.97096875
transcript.pyannote[632].end 4975.55721875
transcript.pyannote[633].speaker SPEAKER_24
transcript.pyannote[633].start 4975.55721875
transcript.pyannote[633].end 4975.99596875
transcript.pyannote[634].speaker SPEAKER_37
transcript.pyannote[634].start 4976.09721875
transcript.pyannote[634].end 4978.25721875
transcript.pyannote[635].speaker SPEAKER_37
transcript.pyannote[635].start 4978.88159375
transcript.pyannote[635].end 4981.54784375
transcript.pyannote[636].speaker SPEAKER_37
transcript.pyannote[636].start 4982.32409375
transcript.pyannote[636].end 4983.87659375
transcript.pyannote[637].speaker SPEAKER_37
transcript.pyannote[637].start 4984.68659375
transcript.pyannote[637].end 4987.28534375
transcript.pyannote[638].speaker SPEAKER_37
transcript.pyannote[638].start 4987.84221875
transcript.pyannote[638].end 4992.95534375
transcript.pyannote[639].speaker SPEAKER_44
transcript.pyannote[639].start 4993.03971875
transcript.pyannote[639].end 4993.17471875
transcript.pyannote[640].speaker SPEAKER_37
transcript.pyannote[640].start 4993.17471875
transcript.pyannote[640].end 4995.75659375
transcript.pyannote[641].speaker SPEAKER_37
transcript.pyannote[641].start 4996.04346875
transcript.pyannote[641].end 5001.24096875
transcript.pyannote[642].speaker SPEAKER_37
transcript.pyannote[642].start 5001.47721875
transcript.pyannote[642].end 5006.37096875
transcript.pyannote[643].speaker SPEAKER_37
transcript.pyannote[643].start 5006.82659375
transcript.pyannote[643].end 5010.70784375
transcript.pyannote[644].speaker SPEAKER_37
transcript.pyannote[644].start 5011.06221875
transcript.pyannote[644].end 5012.63159375
transcript.pyannote[645].speaker SPEAKER_37
transcript.pyannote[645].start 5013.03659375
transcript.pyannote[645].end 5013.89721875
transcript.pyannote[646].speaker SPEAKER_37
transcript.pyannote[646].start 5014.06596875
transcript.pyannote[646].end 5014.74096875
transcript.pyannote[647].speaker SPEAKER_37
transcript.pyannote[647].start 5015.33159375
transcript.pyannote[647].end 5016.51284375
transcript.pyannote[648].speaker SPEAKER_37
transcript.pyannote[648].start 5016.93471875
transcript.pyannote[648].end 5019.56721875
transcript.pyannote[649].speaker SPEAKER_06
transcript.pyannote[649].start 5020.59659375
transcript.pyannote[649].end 5021.06909375
transcript.pyannote[650].speaker SPEAKER_37
transcript.pyannote[650].start 5021.06909375
transcript.pyannote[650].end 5028.13971875
transcript.pyannote[651].speaker SPEAKER_37
transcript.pyannote[651].start 5028.30846875
transcript.pyannote[651].end 5029.13534375
transcript.pyannote[652].speaker SPEAKER_06
transcript.pyannote[652].start 5028.76409375
transcript.pyannote[652].end 5033.69159375
transcript.pyannote[653].speaker SPEAKER_37
transcript.pyannote[653].start 5033.69159375
transcript.pyannote[653].end 5035.39596875
transcript.pyannote[654].speaker SPEAKER_37
transcript.pyannote[654].start 5036.23971875
transcript.pyannote[654].end 5038.01159375
transcript.pyannote[655].speaker SPEAKER_37
transcript.pyannote[655].start 5038.88909375
transcript.pyannote[655].end 5039.71596875
transcript.pyannote[656].speaker SPEAKER_06
transcript.pyannote[656].start 5039.85096875
transcript.pyannote[656].end 5049.14909375
transcript.pyannote[657].speaker SPEAKER_37
transcript.pyannote[657].start 5049.14909375
transcript.pyannote[657].end 5049.16596875
transcript.pyannote[658].speaker SPEAKER_06
transcript.pyannote[658].start 5049.16596875
transcript.pyannote[658].end 5050.90409375
transcript.pyannote[659].speaker SPEAKER_37
transcript.pyannote[659].start 5049.41909375
transcript.pyannote[659].end 5053.87409375
transcript.pyannote[660].speaker SPEAKER_44
transcript.pyannote[660].start 5055.44346875
transcript.pyannote[660].end 5055.57846875
transcript.pyannote[661].speaker SPEAKER_37
transcript.pyannote[661].start 5055.57846875
transcript.pyannote[661].end 5072.90909375
transcript.pyannote[662].speaker SPEAKER_37
transcript.pyannote[662].start 5073.46596875
transcript.pyannote[662].end 5077.83659375
transcript.pyannote[663].speaker SPEAKER_37
transcript.pyannote[663].start 5079.01784375
transcript.pyannote[663].end 5082.25784375
transcript.pyannote[664].speaker SPEAKER_37
transcript.pyannote[664].start 5082.37596875
transcript.pyannote[664].end 5085.98721875
transcript.pyannote[665].speaker SPEAKER_37
transcript.pyannote[665].start 5086.40909375
transcript.pyannote[665].end 5088.61971875
transcript.pyannote[666].speaker SPEAKER_37
transcript.pyannote[666].start 5088.78846875
transcript.pyannote[666].end 5093.69909375
transcript.pyannote[667].speaker SPEAKER_37
transcript.pyannote[667].start 5093.96909375
transcript.pyannote[667].end 5094.05346875
transcript.pyannote[668].speaker SPEAKER_37
transcript.pyannote[668].start 5094.07034375
transcript.pyannote[668].end 5103.13221875
transcript.pyannote[669].speaker SPEAKER_06
transcript.pyannote[669].start 5103.16596875
transcript.pyannote[669].end 5112.49784375
transcript.pyannote[670].speaker SPEAKER_37
transcript.pyannote[670].start 5111.46846875
transcript.pyannote[670].end 5115.92346875
transcript.pyannote[671].speaker SPEAKER_06
transcript.pyannote[671].start 5115.51846875
transcript.pyannote[671].end 5117.25659375
transcript.pyannote[672].speaker SPEAKER_04
transcript.pyannote[672].start 5119.53471875
transcript.pyannote[672].end 5121.81284375
transcript.pyannote[673].speaker SPEAKER_04
transcript.pyannote[673].start 5122.35284375
transcript.pyannote[673].end 5125.69409375
transcript.pyannote[674].speaker SPEAKER_39
transcript.pyannote[674].start 5131.34721875
transcript.pyannote[674].end 5131.38096875
transcript.pyannote[675].speaker SPEAKER_39
transcript.pyannote[675].start 5133.27096875
transcript.pyannote[675].end 5136.81471875
transcript.pyannote[676].speaker SPEAKER_04
transcript.pyannote[676].start 5137.45596875
transcript.pyannote[676].end 5141.40471875
transcript.pyannote[677].speaker SPEAKER_06
transcript.pyannote[677].start 5143.42971875
transcript.pyannote[677].end 5143.46346875
transcript.pyannote[678].speaker SPEAKER_39
transcript.pyannote[678].start 5143.46346875
transcript.pyannote[678].end 5143.93596875
transcript.pyannote[679].speaker SPEAKER_39
transcript.pyannote[679].start 5144.34096875
transcript.pyannote[679].end 5145.20159375
transcript.pyannote[680].speaker SPEAKER_04
transcript.pyannote[680].start 5144.62784375
transcript.pyannote[680].end 5145.04971875
transcript.pyannote[681].speaker SPEAKER_39
transcript.pyannote[681].start 5146.65284375
transcript.pyannote[681].end 5147.37846875
transcript.pyannote[682].speaker SPEAKER_39
transcript.pyannote[682].start 5148.03659375
transcript.pyannote[682].end 5151.29346875
transcript.pyannote[683].speaker SPEAKER_39
transcript.pyannote[683].start 5151.96846875
transcript.pyannote[683].end 5160.84471875
transcript.pyannote[684].speaker SPEAKER_39
transcript.pyannote[684].start 5161.14846875
transcript.pyannote[684].end 5170.81784375
transcript.pyannote[685].speaker SPEAKER_39
transcript.pyannote[685].start 5172.08346875
transcript.pyannote[685].end 5180.47034375
transcript.pyannote[686].speaker SPEAKER_39
transcript.pyannote[686].start 5181.14534375
transcript.pyannote[686].end 5190.86534375
transcript.pyannote[687].speaker SPEAKER_39
transcript.pyannote[687].start 5193.19409375
transcript.pyannote[687].end 5196.87284375
transcript.pyannote[688].speaker SPEAKER_39
transcript.pyannote[688].start 5197.81784375
transcript.pyannote[688].end 5201.26034375
transcript.pyannote[689].speaker SPEAKER_39
transcript.pyannote[689].start 5202.20534375
transcript.pyannote[689].end 5203.04909375
transcript.pyannote[690].speaker SPEAKER_39
transcript.pyannote[690].start 5203.52159375
transcript.pyannote[690].end 5208.01034375
transcript.pyannote[691].speaker SPEAKER_39
transcript.pyannote[691].start 5208.26346875
transcript.pyannote[691].end 5212.27971875
transcript.pyannote[692].speaker SPEAKER_39
transcript.pyannote[692].start 5213.12346875
transcript.pyannote[692].end 5215.06409375
transcript.pyannote[693].speaker SPEAKER_39
transcript.pyannote[693].start 5215.36784375
transcript.pyannote[693].end 5217.12284375
transcript.pyannote[694].speaker SPEAKER_39
transcript.pyannote[694].start 5218.40534375
transcript.pyannote[694].end 5219.35034375
transcript.pyannote[695].speaker SPEAKER_39
transcript.pyannote[695].start 5219.97471875
transcript.pyannote[695].end 5220.73409375
transcript.pyannote[696].speaker SPEAKER_39
transcript.pyannote[696].start 5220.95346875
transcript.pyannote[696].end 5226.70784375
transcript.pyannote[697].speaker SPEAKER_39
transcript.pyannote[697].start 5227.19721875
transcript.pyannote[697].end 5233.10346875
transcript.pyannote[698].speaker SPEAKER_39
transcript.pyannote[698].start 5233.66034375
transcript.pyannote[698].end 5234.43659375
transcript.pyannote[699].speaker SPEAKER_39
transcript.pyannote[699].start 5235.26346875
transcript.pyannote[699].end 5246.48534375
transcript.pyannote[700].speaker SPEAKER_39
transcript.pyannote[700].start 5246.89034375
transcript.pyannote[700].end 5252.22284375
transcript.pyannote[701].speaker SPEAKER_39
transcript.pyannote[701].start 5252.54346875
transcript.pyannote[701].end 5254.31534375
transcript.pyannote[702].speaker SPEAKER_39
transcript.pyannote[702].start 5254.77096875
transcript.pyannote[702].end 5261.16659375
transcript.pyannote[703].speaker SPEAKER_39
transcript.pyannote[703].start 5261.45346875
transcript.pyannote[703].end 5266.22909375
transcript.pyannote[704].speaker SPEAKER_39
transcript.pyannote[704].start 5266.54971875
transcript.pyannote[704].end 5281.29846875
transcript.pyannote[705].speaker SPEAKER_39
transcript.pyannote[705].start 5282.19284375
transcript.pyannote[705].end 5289.65159375
transcript.pyannote[706].speaker SPEAKER_39
transcript.pyannote[706].start 5290.30971875
transcript.pyannote[706].end 5295.01784375
transcript.pyannote[707].speaker SPEAKER_39
transcript.pyannote[707].start 5295.10221875
transcript.pyannote[707].end 5314.35659375
transcript.pyannote[708].speaker SPEAKER_39
transcript.pyannote[708].start 5315.26784375
transcript.pyannote[708].end 5316.63471875
transcript.pyannote[709].speaker SPEAKER_39
transcript.pyannote[709].start 5317.12409375
transcript.pyannote[709].end 5317.79909375
transcript.pyannote[710].speaker SPEAKER_39
transcript.pyannote[710].start 5318.67659375
transcript.pyannote[710].end 5321.35971875
transcript.pyannote[711].speaker SPEAKER_39
transcript.pyannote[711].start 5321.71409375
transcript.pyannote[711].end 5326.52346875
transcript.pyannote[712].speaker SPEAKER_39
transcript.pyannote[712].start 5326.74284375
transcript.pyannote[712].end 5335.66971875
transcript.pyannote[713].speaker SPEAKER_39
transcript.pyannote[713].start 5336.49659375
transcript.pyannote[713].end 5347.85346875
transcript.pyannote[714].speaker SPEAKER_39
transcript.pyannote[714].start 5348.74784375
transcript.pyannote[714].end 5351.36346875
transcript.pyannote[715].speaker SPEAKER_39
transcript.pyannote[715].start 5352.02159375
transcript.pyannote[715].end 5354.72159375
transcript.pyannote[716].speaker SPEAKER_39
transcript.pyannote[716].start 5354.97471875
transcript.pyannote[716].end 5356.99971875
transcript.pyannote[717].speaker SPEAKER_39
transcript.pyannote[717].start 5357.11784375
transcript.pyannote[717].end 5359.54784375
transcript.pyannote[718].speaker SPEAKER_39
transcript.pyannote[718].start 5359.75034375
transcript.pyannote[718].end 5361.87659375
transcript.pyannote[719].speaker SPEAKER_39
transcript.pyannote[719].start 5361.94409375
transcript.pyannote[719].end 5363.80034375
transcript.pyannote[720].speaker SPEAKER_49
transcript.pyannote[720].start 5365.67346875
transcript.pyannote[720].end 5368.03596875
transcript.pyannote[721].speaker SPEAKER_49
transcript.pyannote[721].start 5368.05284375
transcript.pyannote[721].end 5369.30159375
transcript.pyannote[722].speaker SPEAKER_49
transcript.pyannote[722].start 5369.60534375
transcript.pyannote[722].end 5373.62159375
transcript.pyannote[723].speaker SPEAKER_49
transcript.pyannote[723].start 5374.11096875
transcript.pyannote[723].end 5376.47346875
transcript.pyannote[724].speaker SPEAKER_49
transcript.pyannote[724].start 5376.87846875
transcript.pyannote[724].end 5377.43534375
transcript.pyannote[725].speaker SPEAKER_49
transcript.pyannote[725].start 5377.55346875
transcript.pyannote[725].end 5379.12284375
transcript.pyannote[726].speaker SPEAKER_49
transcript.pyannote[726].start 5379.62909375
transcript.pyannote[726].end 5384.15159375
transcript.pyannote[727].speaker SPEAKER_49
transcript.pyannote[727].start 5384.45534375
transcript.pyannote[727].end 5389.19721875
transcript.pyannote[728].speaker SPEAKER_49
transcript.pyannote[728].start 5389.31534375
transcript.pyannote[728].end 5391.98159375
transcript.pyannote[729].speaker SPEAKER_49
transcript.pyannote[729].start 5392.38659375
transcript.pyannote[729].end 5395.35659375
transcript.pyannote[730].speaker SPEAKER_49
transcript.pyannote[730].start 5395.67721875
transcript.pyannote[730].end 5399.03534375
transcript.pyannote[731].speaker SPEAKER_49
transcript.pyannote[731].start 5399.37284375
transcript.pyannote[731].end 5402.95034375
transcript.pyannote[732].speaker SPEAKER_49
transcript.pyannote[732].start 5403.16971875
transcript.pyannote[732].end 5405.93721875
transcript.pyannote[733].speaker SPEAKER_49
transcript.pyannote[733].start 5406.02159375
transcript.pyannote[733].end 5408.58659375
transcript.pyannote[734].speaker SPEAKER_49
transcript.pyannote[734].start 5408.99159375
transcript.pyannote[734].end 5411.74221875
transcript.pyannote[735].speaker SPEAKER_49
transcript.pyannote[735].start 5411.92784375
transcript.pyannote[735].end 5413.88534375
transcript.pyannote[736].speaker SPEAKER_39
transcript.pyannote[736].start 5413.88534375
transcript.pyannote[736].end 5417.95221875
transcript.pyannote[737].speaker SPEAKER_49
transcript.pyannote[737].start 5413.91909375
transcript.pyannote[737].end 5414.00346875
transcript.pyannote[738].speaker SPEAKER_39
transcript.pyannote[738].start 5418.47534375
transcript.pyannote[738].end 5422.33971875
transcript.pyannote[739].speaker SPEAKER_39
transcript.pyannote[739].start 5422.67721875
transcript.pyannote[739].end 5423.67284375
transcript.pyannote[740].speaker SPEAKER_39
transcript.pyannote[740].start 5424.07784375
transcript.pyannote[740].end 5427.04784375
transcript.pyannote[741].speaker SPEAKER_39
transcript.pyannote[741].start 5427.73971875
transcript.pyannote[741].end 5440.76721875
transcript.pyannote[742].speaker SPEAKER_39
transcript.pyannote[742].start 5440.86846875
transcript.pyannote[742].end 5446.79159375
transcript.pyannote[743].speaker SPEAKER_39
transcript.pyannote[743].start 5447.16284375
transcript.pyannote[743].end 5449.91346875
transcript.pyannote[744].speaker SPEAKER_39
transcript.pyannote[744].start 5450.48721875
transcript.pyannote[744].end 5451.14534375
transcript.pyannote[745].speaker SPEAKER_39
transcript.pyannote[745].start 5451.92159375
transcript.pyannote[745].end 5453.18721875
transcript.pyannote[746].speaker SPEAKER_39
transcript.pyannote[746].start 5453.62596875
transcript.pyannote[746].end 5454.82409375
transcript.pyannote[747].speaker SPEAKER_39
transcript.pyannote[747].start 5455.58346875
transcript.pyannote[747].end 5477.30159375
transcript.pyannote[748].speaker SPEAKER_49
transcript.pyannote[748].start 5477.30159375
transcript.pyannote[748].end 5492.50596875
transcript.pyannote[749].speaker SPEAKER_39
transcript.pyannote[749].start 5479.51221875
transcript.pyannote[749].end 5480.87909375
transcript.pyannote[750].speaker SPEAKER_49
transcript.pyannote[750].start 5492.96159375
transcript.pyannote[750].end 5499.25596875
transcript.pyannote[751].speaker SPEAKER_49
transcript.pyannote[751].start 5499.40784375
transcript.pyannote[751].end 5502.00659375
transcript.pyannote[752].speaker SPEAKER_39
transcript.pyannote[752].start 5501.43284375
transcript.pyannote[752].end 5504.95971875
transcript.pyannote[753].speaker SPEAKER_49
transcript.pyannote[753].start 5505.16221875
transcript.pyannote[753].end 5514.88221875
transcript.pyannote[754].speaker SPEAKER_49
transcript.pyannote[754].start 5515.15221875
transcript.pyannote[754].end 5517.83534375
transcript.pyannote[755].speaker SPEAKER_39
transcript.pyannote[755].start 5516.58659375
transcript.pyannote[755].end 5517.04221875
transcript.pyannote[756].speaker SPEAKER_39
transcript.pyannote[756].start 5517.78471875
transcript.pyannote[756].end 5518.10534375
transcript.pyannote[757].speaker SPEAKER_49
transcript.pyannote[757].start 5518.30784375
transcript.pyannote[757].end 5518.35846875
transcript.pyannote[758].speaker SPEAKER_39
transcript.pyannote[758].start 5519.01659375
transcript.pyannote[758].end 5540.02596875
transcript.pyannote[759].speaker SPEAKER_39
transcript.pyannote[759].start 5540.70096875
transcript.pyannote[759].end 5547.80534375
transcript.pyannote[760].speaker SPEAKER_39
transcript.pyannote[760].start 5548.22721875
transcript.pyannote[760].end 5585.79096875
transcript.pyannote[761].speaker SPEAKER_39
transcript.pyannote[761].start 5586.12846875
transcript.pyannote[761].end 5588.87909375
transcript.pyannote[762].speaker SPEAKER_39
transcript.pyannote[762].start 5589.55409375
transcript.pyannote[762].end 5589.92534375
transcript.pyannote[763].speaker SPEAKER_06
transcript.pyannote[763].start 5590.19534375
transcript.pyannote[763].end 5594.56596875
transcript.pyannote[764].speaker SPEAKER_06
transcript.pyannote[764].start 5594.95409375
transcript.pyannote[764].end 5595.39284375
transcript.pyannote[765].speaker SPEAKER_06
transcript.pyannote[765].start 5595.91596875
transcript.pyannote[765].end 5596.08471875
transcript.pyannote[766].speaker SPEAKER_06
transcript.pyannote[766].start 5596.69221875
transcript.pyannote[766].end 5599.18971875
transcript.pyannote[767].speaker SPEAKER_06
transcript.pyannote[767].start 5599.24034375
transcript.pyannote[767].end 5601.56909375
transcript.pyannote[768].speaker SPEAKER_06
transcript.pyannote[768].start 5602.07534375
transcript.pyannote[768].end 5607.03659375
transcript.pyannote[769].speaker SPEAKER_06
transcript.pyannote[769].start 5607.27284375
transcript.pyannote[769].end 5609.75346875
transcript.pyannote[770].speaker SPEAKER_39
transcript.pyannote[770].start 5609.78721875
transcript.pyannote[770].end 5619.03471875
transcript.pyannote[771].speaker SPEAKER_39
transcript.pyannote[771].start 5619.62534375
transcript.pyannote[771].end 5626.56096875
transcript.pyannote[772].speaker SPEAKER_39
transcript.pyannote[772].start 5626.59471875
transcript.pyannote[772].end 5674.33409375
transcript.pyannote[773].speaker SPEAKER_39
transcript.pyannote[773].start 5675.22846875
transcript.pyannote[773].end 5680.05471875
transcript.pyannote[774].speaker SPEAKER_39
transcript.pyannote[774].start 5680.12221875
transcript.pyannote[774].end 5694.97221875
transcript.pyannote[775].speaker SPEAKER_06
transcript.pyannote[775].start 5696.03534375
transcript.pyannote[775].end 5697.30096875
transcript.pyannote[776].speaker SPEAKER_06
transcript.pyannote[776].start 5697.67221875
transcript.pyannote[776].end 5698.17846875
transcript.pyannote[777].speaker SPEAKER_23
transcript.pyannote[777].start 5697.75659375
transcript.pyannote[777].end 5702.43096875
transcript.pyannote[778].speaker SPEAKER_23
transcript.pyannote[778].start 5702.54909375
transcript.pyannote[778].end 5706.49784375
transcript.pyannote[779].speaker SPEAKER_23
transcript.pyannote[779].start 5706.73409375
transcript.pyannote[779].end 5710.78409375
transcript.pyannote[780].speaker SPEAKER_23
transcript.pyannote[780].start 5710.93596875
transcript.pyannote[780].end 5719.49159375
transcript.pyannote[781].speaker SPEAKER_39
transcript.pyannote[781].start 5710.98659375
transcript.pyannote[781].end 5711.47596875
transcript.pyannote[782].speaker SPEAKER_39
transcript.pyannote[782].start 5713.48409375
transcript.pyannote[782].end 5715.12096875
transcript.pyannote[783].speaker SPEAKER_23
transcript.pyannote[783].start 5719.64346875
transcript.pyannote[783].end 5720.18346875
transcript.pyannote[784].speaker SPEAKER_39
transcript.pyannote[784].start 5719.67721875
transcript.pyannote[784].end 5721.07784375
transcript.pyannote[785].speaker SPEAKER_23
transcript.pyannote[785].start 5720.94284375
transcript.pyannote[785].end 5725.00971875
transcript.pyannote[786].speaker SPEAKER_39
transcript.pyannote[786].start 5724.36846875
transcript.pyannote[786].end 5727.35534375
transcript.pyannote[787].speaker SPEAKER_23
transcript.pyannote[787].start 5726.19096875
transcript.pyannote[787].end 5740.48409375
transcript.pyannote[788].speaker SPEAKER_39
transcript.pyannote[788].start 5729.68409375
transcript.pyannote[788].end 5730.10596875
transcript.pyannote[789].speaker SPEAKER_39
transcript.pyannote[789].start 5740.23096875
transcript.pyannote[789].end 5742.08721875
transcript.pyannote[790].speaker SPEAKER_23
transcript.pyannote[790].start 5742.08721875
transcript.pyannote[790].end 5742.13784375
transcript.pyannote[791].speaker SPEAKER_39
transcript.pyannote[791].start 5742.67784375
transcript.pyannote[791].end 5750.40659375
transcript.pyannote[792].speaker SPEAKER_39
transcript.pyannote[792].start 5750.60909375
transcript.pyannote[792].end 5752.36409375
transcript.pyannote[793].speaker SPEAKER_39
transcript.pyannote[793].start 5753.15721875
transcript.pyannote[793].end 5755.75596875
transcript.pyannote[794].speaker SPEAKER_39
transcript.pyannote[794].start 5755.87409375
transcript.pyannote[794].end 5758.52346875
transcript.pyannote[795].speaker SPEAKER_39
transcript.pyannote[795].start 5758.81034375
transcript.pyannote[795].end 5759.68784375
transcript.pyannote[796].speaker SPEAKER_39
transcript.pyannote[796].start 5759.97471875
transcript.pyannote[796].end 5761.64534375
transcript.pyannote[797].speaker SPEAKER_39
transcript.pyannote[797].start 5761.71284375
transcript.pyannote[797].end 5766.26909375
transcript.pyannote[798].speaker SPEAKER_39
transcript.pyannote[798].start 5766.58971875
transcript.pyannote[798].end 5771.63534375
transcript.pyannote[799].speaker SPEAKER_39
transcript.pyannote[799].start 5772.10784375
transcript.pyannote[799].end 5775.09471875
transcript.pyannote[800].speaker SPEAKER_23
transcript.pyannote[800].start 5776.10721875
transcript.pyannote[800].end 5783.07659375
transcript.pyannote[801].speaker SPEAKER_23
transcript.pyannote[801].start 5783.76846875
transcript.pyannote[801].end 5794.85534375
transcript.pyannote[802].speaker SPEAKER_23
transcript.pyannote[802].start 5795.22659375
transcript.pyannote[802].end 5799.04034375
transcript.pyannote[803].speaker SPEAKER_23
transcript.pyannote[803].start 5799.29346875
transcript.pyannote[803].end 5801.87534375
transcript.pyannote[804].speaker SPEAKER_23
transcript.pyannote[804].start 5802.17909375
transcript.pyannote[804].end 5804.86221875
transcript.pyannote[805].speaker SPEAKER_23
transcript.pyannote[805].start 5804.98034375
transcript.pyannote[805].end 5808.57471875
transcript.pyannote[806].speaker SPEAKER_23
transcript.pyannote[806].start 5808.89534375
transcript.pyannote[806].end 5811.27471875
transcript.pyannote[807].speaker SPEAKER_23
transcript.pyannote[807].start 5812.01721875
transcript.pyannote[807].end 5834.76471875
transcript.pyannote[808].speaker SPEAKER_23
transcript.pyannote[808].start 5834.88284375
transcript.pyannote[808].end 5837.90346875
transcript.pyannote[809].speaker SPEAKER_39
transcript.pyannote[809].start 5837.63346875
transcript.pyannote[809].end 5844.58596875
transcript.pyannote[810].speaker SPEAKER_39
transcript.pyannote[810].start 5844.61971875
transcript.pyannote[810].end 5846.20596875
transcript.pyannote[811].speaker SPEAKER_39
transcript.pyannote[811].start 5846.96534375
transcript.pyannote[811].end 5854.69409375
transcript.pyannote[812].speaker SPEAKER_04
transcript.pyannote[812].start 5854.32284375
transcript.pyannote[812].end 5854.74471875
transcript.pyannote[813].speaker SPEAKER_06
transcript.pyannote[813].start 5854.74471875
transcript.pyannote[813].end 5855.23409375
transcript.pyannote[814].speaker SPEAKER_35
transcript.pyannote[814].start 5855.23409375
transcript.pyannote[814].end 5855.30159375
transcript.pyannote[815].speaker SPEAKER_04
transcript.pyannote[815].start 5857.81596875
transcript.pyannote[815].end 5860.16159375
transcript.pyannote[816].speaker SPEAKER_04
transcript.pyannote[816].start 5860.58346875
transcript.pyannote[816].end 5863.53659375
transcript.pyannote[817].speaker SPEAKER_04
transcript.pyannote[817].start 5871.07971875
transcript.pyannote[817].end 5874.04971875
transcript.pyannote[818].speaker SPEAKER_06
transcript.pyannote[818].start 5877.20534375
transcript.pyannote[818].end 5877.39096875
transcript.pyannote[819].speaker SPEAKER_06
transcript.pyannote[819].start 5878.11659375
transcript.pyannote[819].end 5878.67346875
transcript.pyannote[820].speaker SPEAKER_22
transcript.pyannote[820].start 5880.27659375
transcript.pyannote[820].end 5881.60971875
transcript.pyannote[821].speaker SPEAKER_06
transcript.pyannote[821].start 5881.60971875
transcript.pyannote[821].end 5881.77846875
transcript.pyannote[822].speaker SPEAKER_22
transcript.pyannote[822].start 5881.77846875
transcript.pyannote[822].end 5918.05971875
transcript.pyannote[823].speaker SPEAKER_22
transcript.pyannote[823].start 5918.51534375
transcript.pyannote[823].end 5936.18346875
transcript.pyannote[824].speaker SPEAKER_44
transcript.pyannote[824].start 5921.23221875
transcript.pyannote[824].end 5921.48534375
transcript.pyannote[825].speaker SPEAKER_06
transcript.pyannote[825].start 5939.57534375
transcript.pyannote[825].end 5941.09409375
transcript.pyannote[826].speaker SPEAKER_22
transcript.pyannote[826].start 5941.02659375
transcript.pyannote[826].end 5973.17346875
transcript.pyannote[827].speaker SPEAKER_44
transcript.pyannote[827].start 5946.12284375
transcript.pyannote[827].end 5946.57846875
transcript.pyannote[828].speaker SPEAKER_22
transcript.pyannote[828].start 5974.92846875
transcript.pyannote[828].end 5979.60284375
transcript.pyannote[829].speaker SPEAKER_22
transcript.pyannote[829].start 5979.82221875
transcript.pyannote[829].end 5996.59596875
transcript.pyannote[830].speaker SPEAKER_22
transcript.pyannote[830].start 5996.93346875
transcript.pyannote[830].end 5997.42284375
transcript.pyannote[831].speaker SPEAKER_22
transcript.pyannote[831].start 5999.07659375
transcript.pyannote[831].end 6071.14971875
transcript.pyannote[832].speaker SPEAKER_22
transcript.pyannote[832].start 6071.65596875
transcript.pyannote[832].end 6084.73409375
transcript.pyannote[833].speaker SPEAKER_06
transcript.pyannote[833].start 6082.30409375
transcript.pyannote[833].end 6082.40534375
transcript.pyannote[834].speaker SPEAKER_22
transcript.pyannote[834].start 6084.75096875
transcript.pyannote[834].end 6084.80159375
transcript.pyannote[835].speaker SPEAKER_44
transcript.pyannote[835].start 6084.80159375
transcript.pyannote[835].end 6085.18971875
transcript.pyannote[836].speaker SPEAKER_22
transcript.pyannote[836].start 6085.18971875
transcript.pyannote[836].end 6085.99971875
transcript.pyannote[837].speaker SPEAKER_06
transcript.pyannote[837].start 6085.99971875
transcript.pyannote[837].end 6097.86284375
transcript.pyannote[838].speaker SPEAKER_06
transcript.pyannote[838].start 6098.03159375
transcript.pyannote[838].end 6102.63846875
transcript.pyannote[839].speaker SPEAKER_06
transcript.pyannote[839].start 6102.73971875
transcript.pyannote[839].end 6115.95284375
transcript.pyannote[840].speaker SPEAKER_06
transcript.pyannote[840].start 6116.23971875
transcript.pyannote[840].end 6125.18346875
transcript.pyannote[841].speaker SPEAKER_22
transcript.pyannote[841].start 6125.18346875
transcript.pyannote[841].end 6135.08909375
transcript.pyannote[842].speaker SPEAKER_44
transcript.pyannote[842].start 6135.08909375
transcript.pyannote[842].end 6135.24096875
transcript.pyannote[843].speaker SPEAKER_22
transcript.pyannote[843].start 6135.24096875
transcript.pyannote[843].end 6165.19409375
transcript.pyannote[844].speaker SPEAKER_44
transcript.pyannote[844].start 6152.20034375
transcript.pyannote[844].end 6152.33534375
transcript.pyannote[845].speaker SPEAKER_44
transcript.pyannote[845].start 6152.48721875
transcript.pyannote[845].end 6152.55471875
transcript.pyannote[846].speaker SPEAKER_22
transcript.pyannote[846].start 6165.49784375
transcript.pyannote[846].end 6166.67909375
transcript.pyannote[847].speaker SPEAKER_22
transcript.pyannote[847].start 6167.48909375
transcript.pyannote[847].end 6181.20846875
transcript.pyannote[848].speaker SPEAKER_06
transcript.pyannote[848].start 6182.05221875
transcript.pyannote[848].end 6187.60409375
transcript.pyannote[849].speaker SPEAKER_22
transcript.pyannote[849].start 6187.08096875
transcript.pyannote[849].end 6228.00284375
transcript.pyannote[850].speaker SPEAKER_44
transcript.pyannote[850].start 6211.61721875
transcript.pyannote[850].end 6211.65096875
transcript.pyannote[851].speaker SPEAKER_35
transcript.pyannote[851].start 6211.65096875
transcript.pyannote[851].end 6211.66784375
transcript.pyannote[852].speaker SPEAKER_44
transcript.pyannote[852].start 6211.66784375
transcript.pyannote[852].end 6211.68471875
transcript.pyannote[853].speaker SPEAKER_35
transcript.pyannote[853].start 6211.68471875
transcript.pyannote[853].end 6211.71846875
transcript.pyannote[854].speaker SPEAKER_22
transcript.pyannote[854].start 6228.57659375
transcript.pyannote[854].end 6276.58596875
transcript.pyannote[855].speaker SPEAKER_22
transcript.pyannote[855].start 6277.19346875
transcript.pyannote[855].end 6285.14159375
transcript.pyannote[856].speaker SPEAKER_22
transcript.pyannote[856].start 6285.59721875
transcript.pyannote[856].end 6300.70034375
transcript.pyannote[857].speaker SPEAKER_22
transcript.pyannote[857].start 6300.90284375
transcript.pyannote[857].end 6302.87721875
transcript.pyannote[858].speaker SPEAKER_22
transcript.pyannote[858].start 6303.33284375
transcript.pyannote[858].end 6316.32659375
transcript.pyannote[859].speaker SPEAKER_00
transcript.pyannote[859].start 6311.14596875
transcript.pyannote[859].end 6311.53409375
transcript.pyannote[860].speaker SPEAKER_22
transcript.pyannote[860].start 6316.44471875
transcript.pyannote[860].end 6320.93346875
transcript.pyannote[861].speaker SPEAKER_22
transcript.pyannote[861].start 6321.27096875
transcript.pyannote[861].end 6338.16284375
transcript.pyannote[862].speaker SPEAKER_22
transcript.pyannote[862].start 6338.82096875
transcript.pyannote[862].end 6353.19846875
transcript.pyannote[863].speaker SPEAKER_00
transcript.pyannote[863].start 6343.20846875
transcript.pyannote[863].end 6343.36034375
transcript.pyannote[864].speaker SPEAKER_22
transcript.pyannote[864].start 6353.94096875
transcript.pyannote[864].end 6365.58471875
transcript.pyannote[865].speaker SPEAKER_30
transcript.pyannote[865].start 6366.04034375
transcript.pyannote[865].end 6380.38409375
transcript.pyannote[866].speaker SPEAKER_22
transcript.pyannote[866].start 6373.87034375
transcript.pyannote[866].end 6375.20346875
transcript.pyannote[867].speaker SPEAKER_22
transcript.pyannote[867].start 6379.32096875
transcript.pyannote[867].end 6410.77596875
transcript.pyannote[868].speaker SPEAKER_30
transcript.pyannote[868].start 6381.12659375
transcript.pyannote[868].end 6382.05471875
transcript.pyannote[869].speaker SPEAKER_30
transcript.pyannote[869].start 6382.37534375
transcript.pyannote[869].end 6384.04596875
transcript.pyannote[870].speaker SPEAKER_30
transcript.pyannote[870].start 6395.08221875
transcript.pyannote[870].end 6396.01034375
transcript.pyannote[871].speaker SPEAKER_00
transcript.pyannote[871].start 6396.01034375
transcript.pyannote[871].end 6396.02721875
transcript.pyannote[872].speaker SPEAKER_30
transcript.pyannote[872].start 6410.62409375
transcript.pyannote[872].end 6420.24284375
transcript.pyannote[873].speaker SPEAKER_22
transcript.pyannote[873].start 6419.12909375
transcript.pyannote[873].end 6429.49034375
transcript.pyannote[874].speaker SPEAKER_30
transcript.pyannote[874].start 6420.83346875
transcript.pyannote[874].end 6422.65596875
transcript.pyannote[875].speaker SPEAKER_30
transcript.pyannote[875].start 6423.56721875
transcript.pyannote[875].end 6425.33909375
transcript.pyannote[876].speaker SPEAKER_22
transcript.pyannote[876].start 6429.99659375
transcript.pyannote[876].end 6440.57721875
transcript.pyannote[877].speaker SPEAKER_19
transcript.pyannote[877].start 6432.44346875
transcript.pyannote[877].end 6432.88221875
transcript.pyannote[878].speaker SPEAKER_44
transcript.pyannote[878].start 6436.84784375
transcript.pyannote[878].end 6437.26971875
transcript.pyannote[879].speaker SPEAKER_44
transcript.pyannote[879].start 6438.58596875
transcript.pyannote[879].end 6440.29034375
transcript.pyannote[880].speaker SPEAKER_22
transcript.pyannote[880].start 6441.21846875
transcript.pyannote[880].end 6475.50846875
transcript.pyannote[881].speaker SPEAKER_06
transcript.pyannote[881].start 6476.14971875
transcript.pyannote[881].end 6485.48159375
transcript.pyannote[882].speaker SPEAKER_22
transcript.pyannote[882].start 6485.48159375
transcript.pyannote[882].end 6492.78846875
transcript.pyannote[883].speaker SPEAKER_06
transcript.pyannote[883].start 6485.49846875
transcript.pyannote[883].end 6485.51534375
transcript.pyannote[884].speaker SPEAKER_21
transcript.pyannote[884].start 6490.83096875
transcript.pyannote[884].end 6492.78846875
transcript.pyannote[885].speaker SPEAKER_21
transcript.pyannote[885].start 6492.97409375
transcript.pyannote[885].end 6497.20971875
transcript.pyannote[886].speaker SPEAKER_22
transcript.pyannote[886].start 6497.58096875
transcript.pyannote[886].end 6500.88846875
transcript.pyannote[887].speaker SPEAKER_21
transcript.pyannote[887].start 6498.88034375
transcript.pyannote[887].end 6500.14596875
transcript.pyannote[888].speaker SPEAKER_21
transcript.pyannote[888].start 6500.97284375
transcript.pyannote[888].end 6502.55909375
transcript.pyannote[889].speaker SPEAKER_21
transcript.pyannote[889].start 6504.09471875
transcript.pyannote[889].end 6506.01846875
transcript.pyannote[890].speaker SPEAKER_06
transcript.pyannote[890].start 6506.01846875
transcript.pyannote[890].end 6506.03534375
transcript.pyannote[891].speaker SPEAKER_19
transcript.pyannote[891].start 6506.79471875
transcript.pyannote[891].end 6515.68784375
transcript.pyannote[892].speaker SPEAKER_22
transcript.pyannote[892].start 6515.09721875
transcript.pyannote[892].end 6530.82471875
transcript.pyannote[893].speaker SPEAKER_22
transcript.pyannote[893].start 6531.85409375
transcript.pyannote[893].end 6533.03534375
transcript.pyannote[894].speaker SPEAKER_06
transcript.pyannote[894].start 6533.03534375
transcript.pyannote[894].end 6539.97096875
transcript.pyannote[895].speaker SPEAKER_22
transcript.pyannote[895].start 6537.69284375
transcript.pyannote[895].end 6538.43534375
transcript.pyannote[896].speaker SPEAKER_22
transcript.pyannote[896].start 6539.97096875
transcript.pyannote[896].end 6540.03846875
transcript.pyannote[897].speaker SPEAKER_06
transcript.pyannote[897].start 6540.03846875
transcript.pyannote[897].end 6546.75471875
transcript.pyannote[898].speaker SPEAKER_22
transcript.pyannote[898].start 6540.34221875
transcript.pyannote[898].end 6540.51096875
transcript.pyannote[899].speaker SPEAKER_22
transcript.pyannote[899].start 6545.35409375
transcript.pyannote[899].end 6545.37096875
transcript.pyannote[900].speaker SPEAKER_21
transcript.pyannote[900].start 6545.37096875
transcript.pyannote[900].end 6551.02409375
transcript.pyannote[901].speaker SPEAKER_06
transcript.pyannote[901].start 6547.58159375
transcript.pyannote[901].end 6547.93596875
transcript.pyannote[902].speaker SPEAKER_22
transcript.pyannote[902].start 6551.02409375
transcript.pyannote[902].end 6553.16721875
transcript.pyannote[903].speaker SPEAKER_44
transcript.pyannote[903].start 6553.58909375
transcript.pyannote[903].end 6553.62284375
transcript.pyannote[904].speaker SPEAKER_22
transcript.pyannote[904].start 6553.62284375
transcript.pyannote[904].end 6559.37721875
transcript.pyannote[905].speaker SPEAKER_21
transcript.pyannote[905].start 6560.17034375
transcript.pyannote[905].end 6563.73096875
transcript.pyannote[906].speaker SPEAKER_06
transcript.pyannote[906].start 6562.14471875
transcript.pyannote[906].end 6570.86909375
transcript.pyannote[907].speaker SPEAKER_22
transcript.pyannote[907].start 6570.86909375
transcript.pyannote[907].end 6571.40909375
transcript.pyannote[908].speaker SPEAKER_06
transcript.pyannote[908].start 6571.89846875
transcript.pyannote[908].end 6580.97721875
transcript.pyannote[909].speaker SPEAKER_22
transcript.pyannote[909].start 6581.07846875
transcript.pyannote[909].end 6588.19971875
transcript.pyannote[910].speaker SPEAKER_06
transcript.pyannote[910].start 6586.59659375
transcript.pyannote[910].end 6592.03034375
transcript.pyannote[911].speaker SPEAKER_22
transcript.pyannote[911].start 6591.25409375
transcript.pyannote[911].end 6593.22846875
transcript.pyannote[912].speaker SPEAKER_06
transcript.pyannote[912].start 6592.57034375
transcript.pyannote[912].end 6595.30409375
transcript.pyannote[913].speaker SPEAKER_04
transcript.pyannote[913].start 6595.30409375
transcript.pyannote[913].end 6599.79284375
transcript.pyannote[914].speaker SPEAKER_04
transcript.pyannote[914].start 6599.96159375
transcript.pyannote[914].end 6612.61784375
transcript.pyannote[915].speaker SPEAKER_34
transcript.pyannote[915].start 6616.93784375
transcript.pyannote[915].end 6619.53659375
transcript.pyannote[916].speaker SPEAKER_04
transcript.pyannote[916].start 6619.63784375
transcript.pyannote[916].end 6620.61659375
transcript.pyannote[917].speaker SPEAKER_34
transcript.pyannote[917].start 6621.25784375
transcript.pyannote[917].end 6623.51909375
transcript.pyannote[918].speaker SPEAKER_04
transcript.pyannote[918].start 6623.62034375
transcript.pyannote[918].end 6625.18971875
transcript.pyannote[919].speaker SPEAKER_04
transcript.pyannote[919].start 6626.52284375
transcript.pyannote[919].end 6627.61971875
transcript.pyannote[920].speaker SPEAKER_34
transcript.pyannote[920].start 6627.97409375
transcript.pyannote[920].end 6629.71221875
transcript.pyannote[921].speaker SPEAKER_34
transcript.pyannote[921].start 6629.89784375
transcript.pyannote[921].end 6654.78846875
transcript.pyannote[922].speaker SPEAKER_00
transcript.pyannote[922].start 6649.11846875
transcript.pyannote[922].end 6649.13534375
transcript.pyannote[923].speaker SPEAKER_35
transcript.pyannote[923].start 6649.13534375
transcript.pyannote[923].end 6649.77659375
transcript.pyannote[924].speaker SPEAKER_34
transcript.pyannote[924].start 6655.26096875
transcript.pyannote[924].end 6656.42534375
transcript.pyannote[925].speaker SPEAKER_06
transcript.pyannote[925].start 6656.79659375
transcript.pyannote[925].end 6657.97784375
transcript.pyannote[926].speaker SPEAKER_34
transcript.pyannote[926].start 6657.38721875
transcript.pyannote[926].end 6661.11659375
transcript.pyannote[927].speaker SPEAKER_06
transcript.pyannote[927].start 6658.28159375
transcript.pyannote[927].end 6658.46721875
transcript.pyannote[928].speaker SPEAKER_06
transcript.pyannote[928].start 6658.90596875
transcript.pyannote[928].end 6659.47971875
transcript.pyannote[929].speaker SPEAKER_06
transcript.pyannote[929].start 6660.50909375
transcript.pyannote[929].end 6665.09909375
transcript.pyannote[930].speaker SPEAKER_06
transcript.pyannote[930].start 6665.53784375
transcript.pyannote[930].end 6667.15784375
transcript.pyannote[931].speaker SPEAKER_34
transcript.pyannote[931].start 6665.57159375
transcript.pyannote[931].end 6665.90909375
transcript.pyannote[932].speaker SPEAKER_34
transcript.pyannote[932].start 6667.30971875
transcript.pyannote[932].end 6686.59784375
transcript.pyannote[933].speaker SPEAKER_06
transcript.pyannote[933].start 6682.98659375
transcript.pyannote[933].end 6683.08784375
transcript.pyannote[934].speaker SPEAKER_34
transcript.pyannote[934].start 6686.80034375
transcript.pyannote[934].end 6687.89721875
transcript.pyannote[935].speaker SPEAKER_06
transcript.pyannote[935].start 6688.21784375
transcript.pyannote[935].end 6702.39284375
transcript.pyannote[936].speaker SPEAKER_34
transcript.pyannote[936].start 6688.55534375
transcript.pyannote[936].end 6689.17971875
transcript.pyannote[937].speaker SPEAKER_34
transcript.pyannote[937].start 6695.82846875
transcript.pyannote[937].end 6696.26721875
transcript.pyannote[938].speaker SPEAKER_34
transcript.pyannote[938].start 6701.54909375
transcript.pyannote[938].end 6704.33346875
transcript.pyannote[939].speaker SPEAKER_06
transcript.pyannote[939].start 6704.50221875
transcript.pyannote[939].end 6705.00846875
transcript.pyannote[940].speaker SPEAKER_34
transcript.pyannote[940].start 6704.78909375
transcript.pyannote[940].end 6711.80909375
transcript.pyannote[941].speaker SPEAKER_06
transcript.pyannote[941].start 6712.18034375
transcript.pyannote[941].end 6725.56221875
transcript.pyannote[942].speaker SPEAKER_06
transcript.pyannote[942].start 6726.06846875
transcript.pyannote[942].end 6732.78471875
transcript.pyannote[943].speaker SPEAKER_34
transcript.pyannote[943].start 6732.63284375
transcript.pyannote[943].end 6739.28159375
transcript.pyannote[944].speaker SPEAKER_34
transcript.pyannote[944].start 6739.68659375
transcript.pyannote[944].end 6746.74034375
transcript.pyannote[945].speaker SPEAKER_06
transcript.pyannote[945].start 6740.39534375
transcript.pyannote[945].end 6740.46284375
transcript.pyannote[946].speaker SPEAKER_34
transcript.pyannote[946].start 6746.97659375
transcript.pyannote[946].end 6753.76034375
transcript.pyannote[947].speaker SPEAKER_34
transcript.pyannote[947].start 6753.92909375
transcript.pyannote[947].end 6761.23596875
transcript.pyannote[948].speaker SPEAKER_35
transcript.pyannote[948].start 6761.53971875
transcript.pyannote[948].end 6762.02909375
transcript.pyannote[949].speaker SPEAKER_34
transcript.pyannote[949].start 6763.51409375
transcript.pyannote[949].end 6767.54721875
transcript.pyannote[950].speaker SPEAKER_44
transcript.pyannote[950].start 6767.54721875
transcript.pyannote[950].end 6767.61471875
transcript.pyannote[951].speaker SPEAKER_34
transcript.pyannote[951].start 6767.61471875
transcript.pyannote[951].end 6767.64846875
transcript.pyannote[952].speaker SPEAKER_44
transcript.pyannote[952].start 6767.64846875
transcript.pyannote[952].end 6767.66534375
transcript.pyannote[953].speaker SPEAKER_34
transcript.pyannote[953].start 6767.66534375
transcript.pyannote[953].end 6767.68221875
transcript.pyannote[954].speaker SPEAKER_44
transcript.pyannote[954].start 6769.97721875
transcript.pyannote[954].end 6770.24721875
transcript.pyannote[955].speaker SPEAKER_16
transcript.pyannote[955].start 6770.24721875
transcript.pyannote[955].end 6843.68721875
transcript.pyannote[956].speaker SPEAKER_44
transcript.pyannote[956].start 6770.26409375
transcript.pyannote[956].end 6771.14159375
transcript.pyannote[957].speaker SPEAKER_06
transcript.pyannote[957].start 6771.14159375
transcript.pyannote[957].end 6771.19221875
transcript.pyannote[958].speaker SPEAKER_44
transcript.pyannote[958].start 6771.19221875
transcript.pyannote[958].end 6771.20909375
transcript.pyannote[959].speaker SPEAKER_34
transcript.pyannote[959].start 6843.87284375
transcript.pyannote[959].end 6859.27971875
transcript.pyannote[960].speaker SPEAKER_34
transcript.pyannote[960].start 6859.54971875
transcript.pyannote[960].end 6862.08096875
transcript.pyannote[961].speaker SPEAKER_06
transcript.pyannote[961].start 6862.31721875
transcript.pyannote[961].end 6868.39221875
transcript.pyannote[962].speaker SPEAKER_06
transcript.pyannote[962].start 6868.86471875
transcript.pyannote[962].end 6872.81346875
transcript.pyannote[963].speaker SPEAKER_06
transcript.pyannote[963].start 6873.10034375
transcript.pyannote[963].end 6889.55346875
transcript.pyannote[964].speaker SPEAKER_06
transcript.pyannote[964].start 6889.87409375
transcript.pyannote[964].end 6903.12096875
transcript.pyannote[965].speaker SPEAKER_06
transcript.pyannote[965].start 6903.44159375
transcript.pyannote[965].end 6906.19221875
transcript.pyannote[966].speaker SPEAKER_06
transcript.pyannote[966].start 6906.42846875
transcript.pyannote[966].end 6906.90096875
transcript.pyannote[967].speaker SPEAKER_06
transcript.pyannote[967].start 6907.03596875
transcript.pyannote[967].end 6911.74409375
transcript.pyannote[968].speaker SPEAKER_06
transcript.pyannote[968].start 6911.98034375
transcript.pyannote[968].end 6914.44409375
transcript.pyannote[969].speaker SPEAKER_06
transcript.pyannote[969].start 6914.93346875
transcript.pyannote[969].end 6926.94846875
transcript.pyannote[970].speaker SPEAKER_34
transcript.pyannote[970].start 6927.25221875
transcript.pyannote[970].end 6941.14034375
transcript.pyannote[971].speaker SPEAKER_00
transcript.pyannote[971].start 6937.56284375
transcript.pyannote[971].end 6937.98471875
transcript.pyannote[972].speaker SPEAKER_00
transcript.pyannote[972].start 6939.35159375
transcript.pyannote[972].end 6939.48659375
transcript.pyannote[973].speaker SPEAKER_34
transcript.pyannote[973].start 6941.27534375
transcript.pyannote[973].end 6945.40971875
transcript.pyannote[974].speaker SPEAKER_34
transcript.pyannote[974].start 6945.52784375
transcript.pyannote[974].end 6984.88034375
transcript.pyannote[975].speaker SPEAKER_16
transcript.pyannote[975].start 6984.88034375
transcript.pyannote[975].end 7000.70909375
transcript.pyannote[976].speaker SPEAKER_16
transcript.pyannote[976].start 7001.62034375
transcript.pyannote[976].end 7029.37971875
transcript.pyannote[977].speaker SPEAKER_34
transcript.pyannote[977].start 7029.37971875
transcript.pyannote[977].end 7036.70346875
transcript.pyannote[978].speaker SPEAKER_16
transcript.pyannote[978].start 7029.41346875
transcript.pyannote[978].end 7030.05471875
transcript.pyannote[979].speaker SPEAKER_34
transcript.pyannote[979].start 7037.05784375
transcript.pyannote[979].end 7039.08284375
transcript.pyannote[980].speaker SPEAKER_34
transcript.pyannote[980].start 7039.16721875
transcript.pyannote[980].end 7040.33159375
transcript.pyannote[981].speaker SPEAKER_34
transcript.pyannote[981].start 7040.55096875
transcript.pyannote[981].end 7045.78221875
transcript.pyannote[982].speaker SPEAKER_34
transcript.pyannote[982].start 7045.81596875
transcript.pyannote[982].end 7053.30846875
transcript.pyannote[983].speaker SPEAKER_34
transcript.pyannote[983].start 7053.34221875
transcript.pyannote[983].end 7055.89034375
transcript.pyannote[984].speaker SPEAKER_34
transcript.pyannote[984].start 7056.36284375
transcript.pyannote[984].end 7063.70346875
transcript.pyannote[985].speaker SPEAKER_34
transcript.pyannote[985].start 7063.80471875
transcript.pyannote[985].end 7069.50846875
transcript.pyannote[986].speaker SPEAKER_34
transcript.pyannote[986].start 7069.74471875
transcript.pyannote[986].end 7070.87534375
transcript.pyannote[987].speaker SPEAKER_34
transcript.pyannote[987].start 7071.21284375
transcript.pyannote[987].end 7074.03096875
transcript.pyannote[988].speaker SPEAKER_34
transcript.pyannote[988].start 7074.16596875
transcript.pyannote[988].end 7083.02534375
transcript.pyannote[989].speaker SPEAKER_06
transcript.pyannote[989].start 7083.44721875
transcript.pyannote[989].end 7087.49721875
transcript.pyannote[990].speaker SPEAKER_06
transcript.pyannote[990].start 7087.66596875
transcript.pyannote[990].end 7117.72034375
transcript.pyannote[991].speaker SPEAKER_06
transcript.pyannote[991].start 7118.26034375
transcript.pyannote[991].end 7119.45846875
transcript.pyannote[992].speaker SPEAKER_06
transcript.pyannote[992].start 7119.74534375
transcript.pyannote[992].end 7129.60034375
transcript.pyannote[993].speaker SPEAKER_34
transcript.pyannote[993].start 7130.07284375
transcript.pyannote[993].end 7169.29034375
transcript.pyannote[994].speaker SPEAKER_44
transcript.pyannote[994].start 7168.75034375
transcript.pyannote[994].end 7169.37471875
transcript.pyannote[995].speaker SPEAKER_34
transcript.pyannote[995].start 7169.37471875
transcript.pyannote[995].end 7178.16659375
transcript.pyannote[996].speaker SPEAKER_34
transcript.pyannote[996].start 7178.58846875
transcript.pyannote[996].end 7180.09034375
transcript.pyannote[997].speaker SPEAKER_06
transcript.pyannote[997].start 7180.27596875
transcript.pyannote[997].end 7196.50971875
transcript.pyannote[998].speaker SPEAKER_06
transcript.pyannote[998].start 7196.94846875
transcript.pyannote[998].end 7203.10784375
transcript.pyannote[999].speaker SPEAKER_31
transcript.pyannote[999].start 7203.10784375
transcript.pyannote[999].end 7252.78784375
transcript.pyannote[1000].speaker SPEAKER_34
transcript.pyannote[1000].start 7252.78784375
transcript.pyannote[1000].end 7256.80409375
transcript.pyannote[1001].speaker SPEAKER_34
transcript.pyannote[1001].start 7256.98971875
transcript.pyannote[1001].end 7263.18284375
transcript.pyannote[1002].speaker SPEAKER_34
transcript.pyannote[1002].start 7263.25034375
transcript.pyannote[1002].end 7300.17284375
transcript.pyannote[1003].speaker SPEAKER_06
transcript.pyannote[1003].start 7300.44284375
transcript.pyannote[1003].end 7306.90596875
transcript.pyannote[1004].speaker SPEAKER_06
transcript.pyannote[1004].start 7306.97346875
transcript.pyannote[1004].end 7310.68596875
transcript.pyannote[1005].speaker SPEAKER_06
transcript.pyannote[1005].start 7311.12471875
transcript.pyannote[1005].end 7312.13721875
transcript.pyannote[1006].speaker SPEAKER_06
transcript.pyannote[1006].start 7312.54221875
transcript.pyannote[1006].end 7316.42346875
transcript.pyannote[1007].speaker SPEAKER_06
transcript.pyannote[1007].start 7316.81159375
transcript.pyannote[1007].end 7331.00346875
transcript.pyannote[1008].speaker SPEAKER_34
transcript.pyannote[1008].start 7329.14721875
transcript.pyannote[1008].end 7332.43784375
transcript.pyannote[1009].speaker SPEAKER_06
transcript.pyannote[1009].start 7332.15096875
transcript.pyannote[1009].end 7332.16784375
transcript.pyannote[1010].speaker SPEAKER_31
transcript.pyannote[1010].start 7332.16784375
transcript.pyannote[1010].end 7359.26909375
transcript.pyannote[1011].speaker SPEAKER_34
transcript.pyannote[1011].start 7332.92721875
transcript.pyannote[1011].end 7333.31534375
transcript.pyannote[1012].speaker SPEAKER_34
transcript.pyannote[1012].start 7359.96096875
transcript.pyannote[1012].end 7361.71596875
transcript.pyannote[1013].speaker SPEAKER_31
transcript.pyannote[1013].start 7360.88909375
transcript.pyannote[1013].end 7362.37409375
transcript.pyannote[1014].speaker SPEAKER_04
transcript.pyannote[1014].start 7365.25971875
transcript.pyannote[1014].end 7392.07409375
transcript.pyannote[1015].speaker SPEAKER_04
transcript.pyannote[1015].start 8104.65471875
transcript.pyannote[1015].end 8106.61221875
transcript.pyannote[1016].speaker SPEAKER_04
transcript.pyannote[1016].start 8107.15221875
transcript.pyannote[1016].end 8110.08846875
transcript.pyannote[1017].speaker SPEAKER_12
transcript.pyannote[1017].start 8115.80909375
transcript.pyannote[1017].end 8123.26784375
transcript.pyannote[1018].speaker SPEAKER_04
transcript.pyannote[1018].start 8121.00659375
transcript.pyannote[1018].end 8121.54659375
transcript.pyannote[1019].speaker SPEAKER_04
transcript.pyannote[1019].start 8122.72784375
transcript.pyannote[1019].end 8124.88784375
transcript.pyannote[1020].speaker SPEAKER_04
transcript.pyannote[1020].start 8128.06034375
transcript.pyannote[1020].end 8128.83659375
transcript.pyannote[1021].speaker SPEAKER_44
transcript.pyannote[1021].start 8128.17846875
transcript.pyannote[1021].end 8128.19534375
transcript.pyannote[1022].speaker SPEAKER_12
transcript.pyannote[1022].start 8128.19534375
transcript.pyannote[1022].end 8128.61721875
transcript.pyannote[1023].speaker SPEAKER_44
transcript.pyannote[1023].start 8128.61721875
transcript.pyannote[1023].end 8128.65096875
transcript.pyannote[1024].speaker SPEAKER_12
transcript.pyannote[1024].start 8128.65096875
transcript.pyannote[1024].end 8129.64659375
transcript.pyannote[1025].speaker SPEAKER_44
transcript.pyannote[1025].start 8128.83659375
transcript.pyannote[1025].end 8128.87034375
transcript.pyannote[1026].speaker SPEAKER_04
transcript.pyannote[1026].start 8128.87034375
transcript.pyannote[1026].end 8128.90409375
transcript.pyannote[1027].speaker SPEAKER_44
transcript.pyannote[1027].start 8128.90409375
transcript.pyannote[1027].end 8128.95471875
transcript.pyannote[1028].speaker SPEAKER_04
transcript.pyannote[1028].start 8129.42721875
transcript.pyannote[1028].end 8129.51159375
transcript.pyannote[1029].speaker SPEAKER_44
transcript.pyannote[1029].start 8129.51159375
transcript.pyannote[1029].end 8129.56221875
transcript.pyannote[1030].speaker SPEAKER_04
transcript.pyannote[1030].start 8129.56221875
transcript.pyannote[1030].end 8129.61284375
transcript.pyannote[1031].speaker SPEAKER_04
transcript.pyannote[1031].start 8129.64659375
transcript.pyannote[1031].end 8129.69721875
transcript.pyannote[1032].speaker SPEAKER_12
transcript.pyannote[1032].start 8129.69721875
transcript.pyannote[1032].end 8129.71409375
transcript.pyannote[1033].speaker SPEAKER_04
transcript.pyannote[1033].start 8129.71409375
transcript.pyannote[1033].end 8129.76471875
transcript.pyannote[1034].speaker SPEAKER_44
transcript.pyannote[1034].start 8129.76471875
transcript.pyannote[1034].end 8130.05159375
transcript.pyannote[1035].speaker SPEAKER_12
transcript.pyannote[1035].start 8129.96721875
transcript.pyannote[1035].end 8153.25471875
transcript.pyannote[1036].speaker SPEAKER_12
transcript.pyannote[1036].start 8153.74409375
transcript.pyannote[1036].end 8156.27534375
transcript.pyannote[1037].speaker SPEAKER_12
transcript.pyannote[1037].start 8156.52846875
transcript.pyannote[1037].end 8160.25784375
transcript.pyannote[1038].speaker SPEAKER_12
transcript.pyannote[1038].start 8161.10159375
transcript.pyannote[1038].end 8189.48534375
transcript.pyannote[1039].speaker SPEAKER_44
transcript.pyannote[1039].start 8189.48534375
transcript.pyannote[1039].end 8189.75534375
transcript.pyannote[1040].speaker SPEAKER_12
transcript.pyannote[1040].start 8189.70471875
transcript.pyannote[1040].end 8201.85471875
transcript.pyannote[1041].speaker SPEAKER_12
transcript.pyannote[1041].start 8202.69846875
transcript.pyannote[1041].end 8204.84159375
transcript.pyannote[1042].speaker SPEAKER_12
transcript.pyannote[1042].start 8205.92159375
transcript.pyannote[1042].end 8211.38909375
transcript.pyannote[1043].speaker SPEAKER_12
transcript.pyannote[1043].start 8211.72659375
transcript.pyannote[1043].end 8213.22846875
transcript.pyannote[1044].speaker SPEAKER_12
transcript.pyannote[1044].start 8213.85284375
transcript.pyannote[1044].end 8219.65784375
transcript.pyannote[1045].speaker SPEAKER_12
transcript.pyannote[1045].start 8220.23159375
transcript.pyannote[1045].end 8226.94784375
transcript.pyannote[1046].speaker SPEAKER_12
transcript.pyannote[1046].start 8228.01096875
transcript.pyannote[1046].end 8248.93596875
transcript.pyannote[1047].speaker SPEAKER_12
transcript.pyannote[1047].start 8249.30721875
transcript.pyannote[1047].end 8254.55534375
transcript.pyannote[1048].speaker SPEAKER_12
transcript.pyannote[1048].start 8255.50034375
transcript.pyannote[1048].end 8281.26846875
transcript.pyannote[1049].speaker SPEAKER_01
transcript.pyannote[1049].start 8257.27221875
transcript.pyannote[1049].end 8257.59284375
transcript.pyannote[1050].speaker SPEAKER_44
transcript.pyannote[1050].start 8257.59284375
transcript.pyannote[1050].end 8257.60971875
transcript.pyannote[1051].speaker SPEAKER_44
transcript.pyannote[1051].start 8259.65159375
transcript.pyannote[1051].end 8260.19159375
transcript.pyannote[1052].speaker SPEAKER_12
transcript.pyannote[1052].start 8282.85471875
transcript.pyannote[1052].end 8284.60971875
transcript.pyannote[1053].speaker SPEAKER_12
transcript.pyannote[1053].start 8285.11596875
transcript.pyannote[1053].end 8286.87096875
transcript.pyannote[1054].speaker SPEAKER_12
transcript.pyannote[1054].start 8287.39409375
transcript.pyannote[1054].end 8288.77784375
transcript.pyannote[1055].speaker SPEAKER_12
transcript.pyannote[1055].start 8289.30096875
transcript.pyannote[1055].end 8290.78596875
transcript.pyannote[1056].speaker SPEAKER_12
transcript.pyannote[1056].start 8291.41034375
transcript.pyannote[1056].end 8293.58721875
transcript.pyannote[1057].speaker SPEAKER_12
transcript.pyannote[1057].start 8294.38034375
transcript.pyannote[1057].end 8296.55721875
transcript.pyannote[1058].speaker SPEAKER_12
transcript.pyannote[1058].start 8297.33346875
transcript.pyannote[1058].end 8311.82909375
transcript.pyannote[1059].speaker SPEAKER_12
transcript.pyannote[1059].start 8312.40284375
transcript.pyannote[1059].end 8314.20846875
transcript.pyannote[1060].speaker SPEAKER_12
transcript.pyannote[1060].start 8315.27159375
transcript.pyannote[1060].end 8319.60846875
transcript.pyannote[1061].speaker SPEAKER_12
transcript.pyannote[1061].start 8320.13159375
transcript.pyannote[1061].end 8320.62096875
transcript.pyannote[1062].speaker SPEAKER_12
transcript.pyannote[1062].start 8321.09346875
transcript.pyannote[1062].end 8337.74909375
transcript.pyannote[1063].speaker SPEAKER_12
transcript.pyannote[1063].start 8338.87971875
transcript.pyannote[1063].end 8346.87846875
transcript.pyannote[1064].speaker SPEAKER_12
transcript.pyannote[1064].start 8347.73909375
transcript.pyannote[1064].end 8360.76659375
transcript.pyannote[1065].speaker SPEAKER_12
transcript.pyannote[1065].start 8361.07034375
transcript.pyannote[1065].end 8369.25471875
transcript.pyannote[1066].speaker SPEAKER_12
transcript.pyannote[1066].start 8370.70596875
transcript.pyannote[1066].end 8371.92096875
transcript.pyannote[1067].speaker SPEAKER_12
transcript.pyannote[1067].start 8372.44409375
transcript.pyannote[1067].end 8375.02596875
transcript.pyannote[1068].speaker SPEAKER_12
transcript.pyannote[1068].start 8375.34659375
transcript.pyannote[1068].end 8381.69159375
transcript.pyannote[1069].speaker SPEAKER_12
transcript.pyannote[1069].start 8383.17659375
transcript.pyannote[1069].end 8383.71659375
transcript.pyannote[1070].speaker SPEAKER_12
transcript.pyannote[1070].start 8384.64471875
transcript.pyannote[1070].end 8386.56846875
transcript.pyannote[1071].speaker SPEAKER_12
transcript.pyannote[1071].start 8387.64846875
transcript.pyannote[1071].end 8399.68034375
transcript.pyannote[1072].speaker SPEAKER_12
transcript.pyannote[1072].start 8399.83221875
transcript.pyannote[1072].end 8401.31721875
transcript.pyannote[1073].speaker SPEAKER_06
transcript.pyannote[1073].start 8401.75596875
transcript.pyannote[1073].end 8402.95409375
transcript.pyannote[1074].speaker SPEAKER_06
transcript.pyannote[1074].start 8403.62909375
transcript.pyannote[1074].end 8409.40034375
transcript.pyannote[1075].speaker SPEAKER_06
transcript.pyannote[1075].start 8409.87284375
transcript.pyannote[1075].end 8411.32409375
transcript.pyannote[1076].speaker SPEAKER_06
transcript.pyannote[1076].start 8411.62784375
transcript.pyannote[1076].end 8413.43346875
transcript.pyannote[1077].speaker SPEAKER_06
transcript.pyannote[1077].start 8414.10846875
transcript.pyannote[1077].end 8414.56409375
transcript.pyannote[1078].speaker SPEAKER_12
transcript.pyannote[1078].start 8414.20971875
transcript.pyannote[1078].end 8425.93784375
transcript.pyannote[1079].speaker SPEAKER_12
transcript.pyannote[1079].start 8426.51159375
transcript.pyannote[1079].end 8432.67096875
transcript.pyannote[1080].speaker SPEAKER_12
transcript.pyannote[1080].start 8432.68784375
transcript.pyannote[1080].end 8432.70471875
transcript.pyannote[1081].speaker SPEAKER_06
transcript.pyannote[1081].start 8432.70471875
transcript.pyannote[1081].end 8432.83971875
transcript.pyannote[1082].speaker SPEAKER_06
transcript.pyannote[1082].start 8433.24471875
transcript.pyannote[1082].end 8443.97721875
transcript.pyannote[1083].speaker SPEAKER_12
transcript.pyannote[1083].start 8444.04471875
transcript.pyannote[1083].end 8447.01471875
transcript.pyannote[1084].speaker SPEAKER_06
transcript.pyannote[1084].start 8444.44971875
transcript.pyannote[1084].end 8445.46221875
transcript.pyannote[1085].speaker SPEAKER_06
transcript.pyannote[1085].start 8446.03596875
transcript.pyannote[1085].end 8447.79096875
transcript.pyannote[1086].speaker SPEAKER_12
transcript.pyannote[1086].start 8447.33534375
transcript.pyannote[1086].end 8448.60096875
transcript.pyannote[1087].speaker SPEAKER_06
transcript.pyannote[1087].start 8448.60096875
transcript.pyannote[1087].end 8458.05096875
transcript.pyannote[1088].speaker SPEAKER_12
transcript.pyannote[1088].start 8450.98034375
transcript.pyannote[1088].end 8451.67221875
transcript.pyannote[1089].speaker SPEAKER_06
transcript.pyannote[1089].start 8458.37159375
transcript.pyannote[1089].end 8462.08409375
transcript.pyannote[1090].speaker SPEAKER_06
transcript.pyannote[1090].start 8462.18534375
transcript.pyannote[1090].end 8463.02909375
transcript.pyannote[1091].speaker SPEAKER_12
transcript.pyannote[1091].start 8463.02909375
transcript.pyannote[1091].end 8463.94034375
transcript.pyannote[1092].speaker SPEAKER_12
transcript.pyannote[1092].start 8464.46346875
transcript.pyannote[1092].end 8473.33971875
transcript.pyannote[1093].speaker SPEAKER_12
transcript.pyannote[1093].start 8474.55471875
transcript.pyannote[1093].end 8477.76096875
transcript.pyannote[1094].speaker SPEAKER_12
transcript.pyannote[1094].start 8478.43596875
transcript.pyannote[1094].end 8490.92346875
transcript.pyannote[1095].speaker SPEAKER_12
transcript.pyannote[1095].start 8492.20596875
transcript.pyannote[1095].end 8492.93159375
transcript.pyannote[1096].speaker SPEAKER_12
transcript.pyannote[1096].start 8494.01159375
transcript.pyannote[1096].end 8494.78784375
transcript.pyannote[1097].speaker SPEAKER_12
transcript.pyannote[1097].start 8495.71596875
transcript.pyannote[1097].end 8498.90534375
transcript.pyannote[1098].speaker SPEAKER_12
transcript.pyannote[1098].start 8500.54221875
transcript.pyannote[1098].end 8503.05659375
transcript.pyannote[1099].speaker SPEAKER_12
transcript.pyannote[1099].start 8503.79909375
transcript.pyannote[1099].end 8505.13221875
transcript.pyannote[1100].speaker SPEAKER_12
transcript.pyannote[1100].start 8505.73971875
transcript.pyannote[1100].end 8507.39346875
transcript.pyannote[1101].speaker SPEAKER_12
transcript.pyannote[1101].start 8507.57909375
transcript.pyannote[1101].end 8512.23659375
transcript.pyannote[1102].speaker SPEAKER_12
transcript.pyannote[1102].start 8512.52346875
transcript.pyannote[1102].end 8513.60346875
transcript.pyannote[1103].speaker SPEAKER_12
transcript.pyannote[1103].start 8514.10971875
transcript.pyannote[1103].end 8516.35409375
transcript.pyannote[1104].speaker SPEAKER_12
transcript.pyannote[1104].start 8516.80971875
transcript.pyannote[1104].end 8523.03659375
transcript.pyannote[1105].speaker SPEAKER_12
transcript.pyannote[1105].start 8523.44159375
transcript.pyannote[1105].end 8524.74096875
transcript.pyannote[1106].speaker SPEAKER_44
transcript.pyannote[1106].start 8524.90971875
transcript.pyannote[1106].end 8525.06159375
transcript.pyannote[1107].speaker SPEAKER_12
transcript.pyannote[1107].start 8525.06159375
transcript.pyannote[1107].end 8540.50221875
transcript.pyannote[1108].speaker SPEAKER_12
transcript.pyannote[1108].start 8541.51471875
transcript.pyannote[1108].end 8543.10096875
transcript.pyannote[1109].speaker SPEAKER_06
transcript.pyannote[1109].start 8543.33721875
transcript.pyannote[1109].end 8543.37096875
transcript.pyannote[1110].speaker SPEAKER_06
transcript.pyannote[1110].start 8543.84346875
transcript.pyannote[1110].end 8551.92659375
transcript.pyannote[1111].speaker SPEAKER_12
transcript.pyannote[1111].start 8551.52159375
transcript.pyannote[1111].end 8553.37784375
transcript.pyannote[1112].speaker SPEAKER_12
transcript.pyannote[1112].start 8553.64784375
transcript.pyannote[1112].end 8555.13284375
transcript.pyannote[1113].speaker SPEAKER_12
transcript.pyannote[1113].start 8555.72346875
transcript.pyannote[1113].end 8559.23346875
transcript.pyannote[1114].speaker SPEAKER_35
transcript.pyannote[1114].start 8560.41471875
transcript.pyannote[1114].end 8561.46096875
transcript.pyannote[1115].speaker SPEAKER_12
transcript.pyannote[1115].start 8561.00534375
transcript.pyannote[1115].end 8563.26659375
transcript.pyannote[1116].speaker SPEAKER_12
transcript.pyannote[1116].start 8564.12721875
transcript.pyannote[1116].end 8569.57784375
transcript.pyannote[1117].speaker SPEAKER_35
transcript.pyannote[1117].start 8564.49846875
transcript.pyannote[1117].end 8565.00471875
transcript.pyannote[1118].speaker SPEAKER_44
transcript.pyannote[1118].start 8565.00471875
transcript.pyannote[1118].end 8565.05534375
transcript.pyannote[1119].speaker SPEAKER_44
transcript.pyannote[1119].start 8569.57784375
transcript.pyannote[1119].end 8570.72534375
transcript.pyannote[1120].speaker SPEAKER_12
transcript.pyannote[1120].start 8569.74659375
transcript.pyannote[1120].end 8573.88096875
transcript.pyannote[1121].speaker SPEAKER_12
transcript.pyannote[1121].start 8574.65721875
transcript.pyannote[1121].end 8576.02409375
transcript.pyannote[1122].speaker SPEAKER_12
transcript.pyannote[1122].start 8576.24346875
transcript.pyannote[1122].end 8577.07034375
transcript.pyannote[1123].speaker SPEAKER_12
transcript.pyannote[1123].start 8577.89721875
transcript.pyannote[1123].end 8580.04034375
transcript.pyannote[1124].speaker SPEAKER_06
transcript.pyannote[1124].start 8580.85034375
transcript.pyannote[1124].end 8590.75596875
transcript.pyannote[1125].speaker SPEAKER_12
transcript.pyannote[1125].start 8590.72221875
transcript.pyannote[1125].end 8592.08909375
transcript.pyannote[1126].speaker SPEAKER_06
transcript.pyannote[1126].start 8592.29159375
transcript.pyannote[1126].end 8599.17659375
transcript.pyannote[1127].speaker SPEAKER_06
transcript.pyannote[1127].start 8599.68284375
transcript.pyannote[1127].end 8611.12409375
transcript.pyannote[1128].speaker SPEAKER_12
transcript.pyannote[1128].start 8609.23409375
transcript.pyannote[1128].end 8612.94659375
transcript.pyannote[1129].speaker SPEAKER_12
transcript.pyannote[1129].start 8613.46971875
transcript.pyannote[1129].end 8616.52409375
transcript.pyannote[1130].speaker SPEAKER_12
transcript.pyannote[1130].start 8617.38471875
transcript.pyannote[1130].end 8617.97534375
transcript.pyannote[1131].speaker SPEAKER_06
transcript.pyannote[1131].start 8617.97534375
transcript.pyannote[1131].end 8618.04284375
transcript.pyannote[1132].speaker SPEAKER_12
transcript.pyannote[1132].start 8618.04284375
transcript.pyannote[1132].end 8618.97096875
transcript.pyannote[1133].speaker SPEAKER_06
transcript.pyannote[1133].start 8618.97096875
transcript.pyannote[1133].end 8629.50096875
transcript.pyannote[1134].speaker SPEAKER_12
transcript.pyannote[1134].start 8628.52221875
transcript.pyannote[1134].end 8632.53846875
transcript.pyannote[1135].speaker SPEAKER_12
transcript.pyannote[1135].start 8632.89284375
transcript.pyannote[1135].end 8641.58346875
transcript.pyannote[1136].speaker SPEAKER_00
transcript.pyannote[1136].start 8638.42784375
transcript.pyannote[1136].end 8638.64721875
transcript.pyannote[1137].speaker SPEAKER_12
transcript.pyannote[1137].start 8642.03909375
transcript.pyannote[1137].end 8651.01659375
transcript.pyannote[1138].speaker SPEAKER_06
transcript.pyannote[1138].start 8651.42159375
transcript.pyannote[1138].end 8660.34846875
transcript.pyannote[1139].speaker SPEAKER_12
transcript.pyannote[1139].start 8660.34846875
transcript.pyannote[1139].end 8662.87971875
transcript.pyannote[1140].speaker SPEAKER_06
transcript.pyannote[1140].start 8660.36534375
transcript.pyannote[1140].end 8660.50034375
transcript.pyannote[1141].speaker SPEAKER_06
transcript.pyannote[1141].start 8660.58471875
transcript.pyannote[1141].end 8660.85471875
transcript.pyannote[1142].speaker SPEAKER_06
transcript.pyannote[1142].start 8662.87971875
transcript.pyannote[1142].end 8662.93034375
transcript.pyannote[1143].speaker SPEAKER_12
transcript.pyannote[1143].start 8662.93034375
transcript.pyannote[1143].end 8663.70659375
transcript.pyannote[1144].speaker SPEAKER_06
transcript.pyannote[1144].start 8663.70659375
transcript.pyannote[1144].end 8663.99346875
transcript.pyannote[1145].speaker SPEAKER_06
transcript.pyannote[1145].start 8664.53346875
transcript.pyannote[1145].end 8669.07284375
transcript.pyannote[1146].speaker SPEAKER_06
transcript.pyannote[1146].start 8669.56221875
transcript.pyannote[1146].end 8676.31221875
transcript.pyannote[1147].speaker SPEAKER_12
transcript.pyannote[1147].start 8675.67096875
transcript.pyannote[1147].end 8698.43534375
transcript.pyannote[1148].speaker SPEAKER_06
transcript.pyannote[1148].start 8677.30784375
transcript.pyannote[1148].end 8678.33721875
transcript.pyannote[1149].speaker SPEAKER_44
transcript.pyannote[1149].start 8691.75284375
transcript.pyannote[1149].end 8691.97221875
transcript.pyannote[1150].speaker SPEAKER_00
transcript.pyannote[1150].start 8691.97221875
transcript.pyannote[1150].end 8692.02284375
transcript.pyannote[1151].speaker SPEAKER_12
transcript.pyannote[1151].start 8698.73909375
transcript.pyannote[1151].end 8699.75159375
transcript.pyannote[1152].speaker SPEAKER_12
transcript.pyannote[1152].start 8699.88659375
transcript.pyannote[1152].end 8701.00034375
transcript.pyannote[1153].speaker SPEAKER_12
transcript.pyannote[1153].start 8701.33784375
transcript.pyannote[1153].end 8703.68346875
transcript.pyannote[1154].speaker SPEAKER_12
transcript.pyannote[1154].start 8704.29096875
transcript.pyannote[1154].end 8705.62409375
transcript.pyannote[1155].speaker SPEAKER_12
transcript.pyannote[1155].start 8705.75909375
transcript.pyannote[1155].end 8709.92721875
transcript.pyannote[1156].speaker SPEAKER_12
transcript.pyannote[1156].start 8709.97784375
transcript.pyannote[1156].end 8720.69346875
transcript.pyannote[1157].speaker SPEAKER_44
transcript.pyannote[1157].start 8720.69346875
transcript.pyannote[1157].end 8721.18284375
transcript.pyannote[1158].speaker SPEAKER_12
transcript.pyannote[1158].start 8721.45284375
transcript.pyannote[1158].end 8721.79034375
transcript.pyannote[1159].speaker SPEAKER_12
transcript.pyannote[1159].start 8722.04346875
transcript.pyannote[1159].end 8724.22034375
transcript.pyannote[1160].speaker SPEAKER_44
transcript.pyannote[1160].start 8724.42284375
transcript.pyannote[1160].end 8724.49034375
transcript.pyannote[1161].speaker SPEAKER_06
transcript.pyannote[1161].start 8726.41409375
transcript.pyannote[1161].end 8728.30409375
transcript.pyannote[1162].speaker SPEAKER_12
transcript.pyannote[1162].start 8726.59971875
transcript.pyannote[1162].end 8728.42221875
transcript.pyannote[1163].speaker SPEAKER_06
transcript.pyannote[1163].start 8729.60346875
transcript.pyannote[1163].end 8730.24471875
transcript.pyannote[1164].speaker SPEAKER_12
transcript.pyannote[1164].start 8729.80596875
transcript.pyannote[1164].end 8731.76346875
transcript.pyannote[1165].speaker SPEAKER_06
transcript.pyannote[1165].start 8732.70846875
transcript.pyannote[1165].end 8735.77971875
transcript.pyannote[1166].speaker SPEAKER_12
transcript.pyannote[1166].start 8734.41284375
transcript.pyannote[1166].end 8736.72471875
transcript.pyannote[1167].speaker SPEAKER_12
transcript.pyannote[1167].start 8739.01971875
transcript.pyannote[1167].end 8740.65659375
transcript.pyannote[1168].speaker SPEAKER_12
transcript.pyannote[1168].start 8741.33159375
transcript.pyannote[1168].end 8751.00096875
transcript.pyannote[1169].speaker SPEAKER_44
transcript.pyannote[1169].start 8747.37284375
transcript.pyannote[1169].end 8747.38971875
transcript.pyannote[1170].speaker SPEAKER_44
transcript.pyannote[1170].start 8747.40659375
transcript.pyannote[1170].end 8747.62596875
transcript.pyannote[1171].speaker SPEAKER_12
transcript.pyannote[1171].start 8751.96284375
transcript.pyannote[1171].end 8762.12159375
transcript.pyannote[1172].speaker SPEAKER_06
transcript.pyannote[1172].start 8762.12159375
transcript.pyannote[1172].end 8763.28596875
transcript.pyannote[1173].speaker SPEAKER_06
transcript.pyannote[1173].start 8763.67409375
transcript.pyannote[1173].end 8767.84221875
transcript.pyannote[1174].speaker SPEAKER_06
transcript.pyannote[1174].start 8768.28096875
transcript.pyannote[1174].end 8773.15784375
transcript.pyannote[1175].speaker SPEAKER_06
transcript.pyannote[1175].start 8773.49534375
transcript.pyannote[1175].end 8780.54909375
transcript.pyannote[1176].speaker SPEAKER_06
transcript.pyannote[1176].start 8780.88659375
transcript.pyannote[1176].end 8803.53284375
transcript.pyannote[1177].speaker SPEAKER_12
transcript.pyannote[1177].start 8795.50034375
transcript.pyannote[1177].end 8795.83784375
transcript.pyannote[1178].speaker SPEAKER_12
transcript.pyannote[1178].start 8803.73534375
transcript.pyannote[1178].end 8809.33784375
transcript.pyannote[1179].speaker SPEAKER_06
transcript.pyannote[1179].start 8809.42221875
transcript.pyannote[1179].end 8809.77659375
transcript.pyannote[1180].speaker SPEAKER_12
transcript.pyannote[1180].start 8809.77659375
transcript.pyannote[1180].end 8810.40096875
transcript.pyannote[1181].speaker SPEAKER_06
transcript.pyannote[1181].start 8809.79346875
transcript.pyannote[1181].end 8811.80159375
transcript.pyannote[1182].speaker SPEAKER_06
transcript.pyannote[1182].start 8812.39221875
transcript.pyannote[1182].end 8814.80534375
transcript.pyannote[1183].speaker SPEAKER_16
transcript.pyannote[1183].start 8814.92346875
transcript.pyannote[1183].end 8817.30284375
transcript.pyannote[1184].speaker SPEAKER_16
transcript.pyannote[1184].start 8817.91034375
transcript.pyannote[1184].end 8834.73471875
transcript.pyannote[1185].speaker SPEAKER_12
transcript.pyannote[1185].start 8834.71784375
transcript.pyannote[1185].end 8841.02909375
transcript.pyannote[1186].speaker SPEAKER_44
transcript.pyannote[1186].start 8841.14721875
transcript.pyannote[1186].end 8841.36659375
transcript.pyannote[1187].speaker SPEAKER_12
transcript.pyannote[1187].start 8841.36659375
transcript.pyannote[1187].end 8848.30221875
transcript.pyannote[1188].speaker SPEAKER_44
transcript.pyannote[1188].start 8841.38346875
transcript.pyannote[1188].end 8841.40034375
transcript.pyannote[1189].speaker SPEAKER_44
transcript.pyannote[1189].start 8848.30221875
transcript.pyannote[1189].end 8849.90534375
transcript.pyannote[1190].speaker SPEAKER_12
transcript.pyannote[1190].start 8848.72409375
transcript.pyannote[1190].end 8869.73346875
transcript.pyannote[1191].speaker SPEAKER_00
transcript.pyannote[1191].start 8861.49846875
transcript.pyannote[1191].end 8861.54909375
transcript.pyannote[1192].speaker SPEAKER_06
transcript.pyannote[1192].start 8861.54909375
transcript.pyannote[1192].end 8861.86971875
transcript.pyannote[1193].speaker SPEAKER_06
transcript.pyannote[1193].start 8863.97909375
transcript.pyannote[1193].end 8864.80596875
transcript.pyannote[1194].speaker SPEAKER_06
transcript.pyannote[1194].start 8865.58221875
transcript.pyannote[1194].end 8866.02096875
transcript.pyannote[1195].speaker SPEAKER_06
transcript.pyannote[1195].start 8868.01221875
transcript.pyannote[1195].end 8868.48471875
transcript.pyannote[1196].speaker SPEAKER_06
transcript.pyannote[1196].start 8869.00784375
transcript.pyannote[1196].end 8871.01596875
transcript.pyannote[1197].speaker SPEAKER_12
transcript.pyannote[1197].start 8871.01596875
transcript.pyannote[1197].end 8872.65284375
transcript.pyannote[1198].speaker SPEAKER_06
transcript.pyannote[1198].start 8871.04971875
transcript.pyannote[1198].end 8871.67409375
transcript.pyannote[1199].speaker SPEAKER_04
transcript.pyannote[1199].start 8872.80471875
transcript.pyannote[1199].end 8875.69034375
transcript.pyannote[1200].speaker SPEAKER_04
transcript.pyannote[1200].start 8876.39909375
transcript.pyannote[1200].end 8880.26346875
transcript.pyannote[1201].speaker SPEAKER_24
transcript.pyannote[1201].start 8895.58596875
transcript.pyannote[1201].end 8896.31159375
transcript.pyannote[1202].speaker SPEAKER_33
transcript.pyannote[1202].start 8899.14659375
transcript.pyannote[1202].end 8903.38221875
transcript.pyannote[1203].speaker SPEAKER_33
transcript.pyannote[1203].start 8903.97284375
transcript.pyannote[1203].end 8904.02346875
transcript.pyannote[1204].speaker SPEAKER_04
transcript.pyannote[1204].start 8904.02346875
transcript.pyannote[1204].end 8904.24284375
transcript.pyannote[1205].speaker SPEAKER_33
transcript.pyannote[1205].start 8904.24284375
transcript.pyannote[1205].end 8905.55909375
transcript.pyannote[1206].speaker SPEAKER_04
transcript.pyannote[1206].start 8905.55909375
transcript.pyannote[1206].end 8905.57596875
transcript.pyannote[1207].speaker SPEAKER_06
transcript.pyannote[1207].start 8908.24221875
transcript.pyannote[1207].end 8908.25909375
transcript.pyannote[1208].speaker SPEAKER_33
transcript.pyannote[1208].start 8908.25909375
transcript.pyannote[1208].end 8908.90034375
transcript.pyannote[1209].speaker SPEAKER_33
transcript.pyannote[1209].start 8909.42346875
transcript.pyannote[1209].end 8910.31784375
transcript.pyannote[1210].speaker SPEAKER_33
transcript.pyannote[1210].start 8910.75659375
transcript.pyannote[1210].end 8917.81034375
transcript.pyannote[1211].speaker SPEAKER_33
transcript.pyannote[1211].start 8918.58659375
transcript.pyannote[1211].end 8921.13471875
transcript.pyannote[1212].speaker SPEAKER_33
transcript.pyannote[1212].start 8921.48909375
transcript.pyannote[1212].end 8922.75471875
transcript.pyannote[1213].speaker SPEAKER_33
transcript.pyannote[1213].start 8923.10909375
transcript.pyannote[1213].end 8925.48846875
transcript.pyannote[1214].speaker SPEAKER_33
transcript.pyannote[1214].start 8926.61909375
transcript.pyannote[1214].end 8932.18784375
transcript.pyannote[1215].speaker SPEAKER_33
transcript.pyannote[1215].start 8932.82909375
transcript.pyannote[1215].end 8933.62221875
transcript.pyannote[1216].speaker SPEAKER_33
transcript.pyannote[1216].start 8934.61784375
transcript.pyannote[1216].end 8937.50346875
transcript.pyannote[1217].speaker SPEAKER_33
transcript.pyannote[1217].start 8937.92534375
transcript.pyannote[1217].end 8939.05596875
transcript.pyannote[1218].speaker SPEAKER_33
transcript.pyannote[1218].start 8939.96721875
transcript.pyannote[1218].end 8942.80221875
transcript.pyannote[1219].speaker SPEAKER_33
transcript.pyannote[1219].start 8943.66284375
transcript.pyannote[1219].end 8943.79784375
transcript.pyannote[1220].speaker SPEAKER_33
transcript.pyannote[1220].start 8944.45596875
transcript.pyannote[1220].end 8946.90284375
transcript.pyannote[1221].speaker SPEAKER_33
transcript.pyannote[1221].start 8947.07159375
transcript.pyannote[1221].end 8947.72971875
transcript.pyannote[1222].speaker SPEAKER_06
transcript.pyannote[1222].start 8947.40909375
transcript.pyannote[1222].end 8948.13471875
transcript.pyannote[1223].speaker SPEAKER_44
transcript.pyannote[1223].start 8948.13471875
transcript.pyannote[1223].end 8948.16846875
transcript.pyannote[1224].speaker SPEAKER_33
transcript.pyannote[1224].start 8948.37096875
transcript.pyannote[1224].end 8949.07971875
transcript.pyannote[1225].speaker SPEAKER_33
transcript.pyannote[1225].start 8949.87284375
transcript.pyannote[1225].end 8952.64034375
transcript.pyannote[1226].speaker SPEAKER_33
transcript.pyannote[1226].start 8952.99471875
transcript.pyannote[1226].end 8954.46284375
transcript.pyannote[1227].speaker SPEAKER_33
transcript.pyannote[1227].start 8955.00284375
transcript.pyannote[1227].end 8957.24721875
transcript.pyannote[1228].speaker SPEAKER_33
transcript.pyannote[1228].start 8957.98971875
transcript.pyannote[1228].end 8962.12409375
transcript.pyannote[1229].speaker SPEAKER_33
transcript.pyannote[1229].start 8962.57971875
transcript.pyannote[1229].end 8963.89596875
transcript.pyannote[1230].speaker SPEAKER_33
transcript.pyannote[1230].start 8963.98034375
transcript.pyannote[1230].end 8964.03096875
transcript.pyannote[1231].speaker SPEAKER_33
transcript.pyannote[1231].start 8964.08159375
transcript.pyannote[1231].end 8966.37659375
transcript.pyannote[1232].speaker SPEAKER_06
transcript.pyannote[1232].start 8966.89971875
transcript.pyannote[1232].end 8967.03471875
transcript.pyannote[1233].speaker SPEAKER_35
transcript.pyannote[1233].start 8967.03471875
transcript.pyannote[1233].end 8967.28784375
transcript.pyannote[1234].speaker SPEAKER_06
transcript.pyannote[1234].start 8967.28784375
transcript.pyannote[1234].end 8967.38909375
transcript.pyannote[1235].speaker SPEAKER_33
transcript.pyannote[1235].start 8967.38909375
transcript.pyannote[1235].end 8969.27909375
transcript.pyannote[1236].speaker SPEAKER_33
transcript.pyannote[1236].start 8970.52784375
transcript.pyannote[1236].end 8972.28284375
transcript.pyannote[1237].speaker SPEAKER_33
transcript.pyannote[1237].start 8973.14346875
transcript.pyannote[1237].end 8973.53159375
transcript.pyannote[1238].speaker SPEAKER_33
transcript.pyannote[1238].start 8974.18971875
transcript.pyannote[1238].end 8975.79284375
transcript.pyannote[1239].speaker SPEAKER_33
transcript.pyannote[1239].start 8976.58596875
transcript.pyannote[1239].end 8977.98659375
transcript.pyannote[1240].speaker SPEAKER_33
transcript.pyannote[1240].start 8978.39159375
transcript.pyannote[1240].end 8979.96096875
transcript.pyannote[1241].speaker SPEAKER_33
transcript.pyannote[1241].start 8980.66971875
transcript.pyannote[1241].end 8981.32784375
transcript.pyannote[1242].speaker SPEAKER_33
transcript.pyannote[1242].start 8981.81721875
transcript.pyannote[1242].end 8984.46659375
transcript.pyannote[1243].speaker SPEAKER_44
transcript.pyannote[1243].start 8984.93909375
transcript.pyannote[1243].end 8985.61409375
transcript.pyannote[1244].speaker SPEAKER_33
transcript.pyannote[1244].start 8985.74909375
transcript.pyannote[1244].end 8986.71096875
transcript.pyannote[1245].speaker SPEAKER_33
transcript.pyannote[1245].start 8986.84596875
transcript.pyannote[1245].end 8987.67284375
transcript.pyannote[1246].speaker SPEAKER_33
transcript.pyannote[1246].start 8987.82471875
transcript.pyannote[1246].end 8989.00596875
transcript.pyannote[1247].speaker SPEAKER_33
transcript.pyannote[1247].start 8989.66409375
transcript.pyannote[1247].end 8990.71034375
transcript.pyannote[1248].speaker SPEAKER_33
transcript.pyannote[1248].start 8991.21659375
transcript.pyannote[1248].end 8992.14471875
transcript.pyannote[1249].speaker SPEAKER_33
transcript.pyannote[1249].start 8993.29221875
transcript.pyannote[1249].end 8994.54096875
transcript.pyannote[1250].speaker SPEAKER_33
transcript.pyannote[1250].start 8995.43534375
transcript.pyannote[1250].end 8996.12721875
transcript.pyannote[1251].speaker SPEAKER_33
transcript.pyannote[1251].start 8996.80221875
transcript.pyannote[1251].end 8999.45159375
transcript.pyannote[1252].speaker SPEAKER_33
transcript.pyannote[1252].start 8999.78909375
transcript.pyannote[1252].end 9001.79721875
transcript.pyannote[1253].speaker SPEAKER_33
transcript.pyannote[1253].start 9002.32034375
transcript.pyannote[1253].end 9006.01596875
transcript.pyannote[1254].speaker SPEAKER_33
transcript.pyannote[1254].start 9007.95659375
transcript.pyannote[1254].end 9009.50909375
transcript.pyannote[1255].speaker SPEAKER_33
transcript.pyannote[1255].start 9010.58909375
transcript.pyannote[1255].end 9012.19221875
transcript.pyannote[1256].speaker SPEAKER_33
transcript.pyannote[1256].start 9012.54659375
transcript.pyannote[1256].end 9013.93034375
transcript.pyannote[1257].speaker SPEAKER_33
transcript.pyannote[1257].start 9014.14971875
transcript.pyannote[1257].end 9014.55471875
transcript.pyannote[1258].speaker SPEAKER_33
transcript.pyannote[1258].start 9015.06096875
transcript.pyannote[1258].end 9015.55034375
transcript.pyannote[1259].speaker SPEAKER_33
transcript.pyannote[1259].start 9015.66846875
transcript.pyannote[1259].end 9017.49096875
transcript.pyannote[1260].speaker SPEAKER_33
transcript.pyannote[1260].start 9017.87909375
transcript.pyannote[1260].end 9018.75659375
transcript.pyannote[1261].speaker SPEAKER_33
transcript.pyannote[1261].start 9018.97596875
transcript.pyannote[1261].end 9020.51159375
transcript.pyannote[1262].speaker SPEAKER_33
transcript.pyannote[1262].start 9021.54096875
transcript.pyannote[1262].end 9022.40159375
transcript.pyannote[1263].speaker SPEAKER_33
transcript.pyannote[1263].start 9022.84034375
transcript.pyannote[1263].end 9024.39284375
transcript.pyannote[1264].speaker SPEAKER_33
transcript.pyannote[1264].start 9025.96221875
transcript.pyannote[1264].end 9027.12659375
transcript.pyannote[1265].speaker SPEAKER_06
transcript.pyannote[1265].start 9028.32471875
transcript.pyannote[1265].end 9031.64909375
transcript.pyannote[1266].speaker SPEAKER_31
transcript.pyannote[1266].start 9028.81409375
transcript.pyannote[1266].end 9030.11346875
transcript.pyannote[1267].speaker SPEAKER_31
transcript.pyannote[1267].start 9031.00784375
transcript.pyannote[1267].end 9047.37659375
transcript.pyannote[1268].speaker SPEAKER_33
transcript.pyannote[1268].start 9044.91284375
transcript.pyannote[1268].end 9045.60471875
transcript.pyannote[1269].speaker SPEAKER_33
transcript.pyannote[1269].start 9047.37659375
transcript.pyannote[1269].end 9047.49471875
transcript.pyannote[1270].speaker SPEAKER_31
transcript.pyannote[1270].start 9047.49471875
transcript.pyannote[1270].end 9047.52846875
transcript.pyannote[1271].speaker SPEAKER_33
transcript.pyannote[1271].start 9047.52846875
transcript.pyannote[1271].end 9047.54534375
transcript.pyannote[1272].speaker SPEAKER_31
transcript.pyannote[1272].start 9047.54534375
transcript.pyannote[1272].end 9047.56221875
transcript.pyannote[1273].speaker SPEAKER_33
transcript.pyannote[1273].start 9047.56221875
transcript.pyannote[1273].end 9048.47346875
transcript.pyannote[1274].speaker SPEAKER_31
transcript.pyannote[1274].start 9047.69721875
transcript.pyannote[1274].end 9048.96284375
transcript.pyannote[1275].speaker SPEAKER_33
transcript.pyannote[1275].start 9048.96284375
transcript.pyannote[1275].end 9049.03034375
transcript.pyannote[1276].speaker SPEAKER_31
transcript.pyannote[1276].start 9049.03034375
transcript.pyannote[1276].end 9057.38346875
transcript.pyannote[1277].speaker SPEAKER_33
transcript.pyannote[1277].start 9050.53221875
transcript.pyannote[1277].end 9052.37159375
transcript.pyannote[1278].speaker SPEAKER_33
transcript.pyannote[1278].start 9054.12659375
transcript.pyannote[1278].end 9054.37971875
transcript.pyannote[1279].speaker SPEAKER_43
transcript.pyannote[1279].start 9057.38346875
transcript.pyannote[1279].end 9057.72096875
transcript.pyannote[1280].speaker SPEAKER_31
transcript.pyannote[1280].start 9057.72096875
transcript.pyannote[1280].end 9058.90221875
transcript.pyannote[1281].speaker SPEAKER_33
transcript.pyannote[1281].start 9057.77159375
transcript.pyannote[1281].end 9057.88971875
transcript.pyannote[1282].speaker SPEAKER_33
transcript.pyannote[1282].start 9058.66596875
transcript.pyannote[1282].end 9058.88534375
transcript.pyannote[1283].speaker SPEAKER_43
transcript.pyannote[1283].start 9058.88534375
transcript.pyannote[1283].end 9059.42534375
transcript.pyannote[1284].speaker SPEAKER_31
transcript.pyannote[1284].start 9059.98221875
transcript.pyannote[1284].end 9065.21346875
transcript.pyannote[1285].speaker SPEAKER_33
transcript.pyannote[1285].start 9064.16721875
transcript.pyannote[1285].end 9067.69409375
transcript.pyannote[1286].speaker SPEAKER_31
transcript.pyannote[1286].start 9067.71096875
transcript.pyannote[1286].end 9075.23721875
transcript.pyannote[1287].speaker SPEAKER_33
transcript.pyannote[1287].start 9074.71409375
transcript.pyannote[1287].end 9083.52284375
transcript.pyannote[1288].speaker SPEAKER_31
transcript.pyannote[1288].start 9076.03034375
transcript.pyannote[1288].end 9076.51971875
transcript.pyannote[1289].speaker SPEAKER_19
transcript.pyannote[1289].start 9082.27409375
transcript.pyannote[1289].end 9082.91534375
transcript.pyannote[1290].speaker SPEAKER_44
transcript.pyannote[1290].start 9082.91534375
transcript.pyannote[1290].end 9083.01659375
transcript.pyannote[1291].speaker SPEAKER_44
transcript.pyannote[1291].start 9083.52284375
transcript.pyannote[1291].end 9083.60721875
transcript.pyannote[1292].speaker SPEAKER_33
transcript.pyannote[1292].start 9083.60721875
transcript.pyannote[1292].end 9084.45096875
transcript.pyannote[1293].speaker SPEAKER_44
transcript.pyannote[1293].start 9084.56909375
transcript.pyannote[1293].end 9084.65346875
transcript.pyannote[1294].speaker SPEAKER_44
transcript.pyannote[1294].start 9084.70409375
transcript.pyannote[1294].end 9084.78846875
transcript.pyannote[1295].speaker SPEAKER_33
transcript.pyannote[1295].start 9085.49721875
transcript.pyannote[1295].end 9095.21721875
transcript.pyannote[1296].speaker SPEAKER_33
transcript.pyannote[1296].start 9095.97659375
transcript.pyannote[1296].end 9098.13659375
transcript.pyannote[1297].speaker SPEAKER_33
transcript.pyannote[1297].start 9099.65534375
transcript.pyannote[1297].end 9100.36409375
transcript.pyannote[1298].speaker SPEAKER_33
transcript.pyannote[1298].start 9101.07284375
transcript.pyannote[1298].end 9103.67159375
transcript.pyannote[1299].speaker SPEAKER_33
transcript.pyannote[1299].start 9103.94159375
transcript.pyannote[1299].end 9106.15221875
transcript.pyannote[1300].speaker SPEAKER_33
transcript.pyannote[1300].start 9107.16471875
transcript.pyannote[1300].end 9108.51471875
transcript.pyannote[1301].speaker SPEAKER_33
transcript.pyannote[1301].start 9108.83534375
transcript.pyannote[1301].end 9110.84346875
transcript.pyannote[1302].speaker SPEAKER_33
transcript.pyannote[1302].start 9112.05846875
transcript.pyannote[1302].end 9117.40784375
transcript.pyannote[1303].speaker SPEAKER_43
transcript.pyannote[1303].start 9116.58096875
transcript.pyannote[1303].end 9118.25159375
transcript.pyannote[1304].speaker SPEAKER_33
transcript.pyannote[1304].start 9118.35284375
transcript.pyannote[1304].end 9120.02346875
transcript.pyannote[1305].speaker SPEAKER_31
transcript.pyannote[1305].start 9120.02346875
transcript.pyannote[1305].end 9122.82471875
transcript.pyannote[1306].speaker SPEAKER_31
transcript.pyannote[1306].start 9122.94284375
transcript.pyannote[1306].end 9149.38596875
transcript.pyannote[1307].speaker SPEAKER_31
transcript.pyannote[1307].start 9149.50409375
transcript.pyannote[1307].end 9156.23721875
transcript.pyannote[1308].speaker SPEAKER_43
transcript.pyannote[1308].start 9156.22034375
transcript.pyannote[1308].end 9156.97971875
transcript.pyannote[1309].speaker SPEAKER_33
transcript.pyannote[1309].start 9156.23721875
transcript.pyannote[1309].end 9156.33846875
transcript.pyannote[1310].speaker SPEAKER_31
transcript.pyannote[1310].start 9156.33846875
transcript.pyannote[1310].end 9156.35534375
transcript.pyannote[1311].speaker SPEAKER_33
transcript.pyannote[1311].start 9157.14846875
transcript.pyannote[1311].end 9158.36346875
transcript.pyannote[1312].speaker SPEAKER_31
transcript.pyannote[1312].start 9158.61659375
transcript.pyannote[1312].end 9158.63346875
transcript.pyannote[1313].speaker SPEAKER_33
transcript.pyannote[1313].start 9158.63346875
transcript.pyannote[1313].end 9161.13096875
transcript.pyannote[1314].speaker SPEAKER_33
transcript.pyannote[1314].start 9161.31659375
transcript.pyannote[1314].end 9163.96596875
transcript.pyannote[1315].speaker SPEAKER_33
transcript.pyannote[1315].start 9164.25284375
transcript.pyannote[1315].end 9165.04596875
transcript.pyannote[1316].speaker SPEAKER_33
transcript.pyannote[1316].start 9166.10909375
transcript.pyannote[1316].end 9168.03284375
transcript.pyannote[1317].speaker SPEAKER_31
transcript.pyannote[1317].start 9168.20159375
transcript.pyannote[1317].end 9169.33221875
transcript.pyannote[1318].speaker SPEAKER_33
transcript.pyannote[1318].start 9168.96096875
transcript.pyannote[1318].end 9169.53471875
transcript.pyannote[1319].speaker SPEAKER_31
transcript.pyannote[1319].start 9169.73721875
transcript.pyannote[1319].end 9172.97721875
transcript.pyannote[1320].speaker SPEAKER_33
transcript.pyannote[1320].start 9171.42471875
transcript.pyannote[1320].end 9173.01096875
transcript.pyannote[1321].speaker SPEAKER_31
transcript.pyannote[1321].start 9173.01096875
transcript.pyannote[1321].end 9173.23034375
transcript.pyannote[1322].speaker SPEAKER_33
transcript.pyannote[1322].start 9173.23034375
transcript.pyannote[1322].end 9174.47909375
transcript.pyannote[1323].speaker SPEAKER_31
transcript.pyannote[1323].start 9173.87159375
transcript.pyannote[1323].end 9184.21596875
transcript.pyannote[1324].speaker SPEAKER_33
transcript.pyannote[1324].start 9174.95159375
transcript.pyannote[1324].end 9175.00221875
transcript.pyannote[1325].speaker SPEAKER_33
transcript.pyannote[1325].start 9176.97659375
transcript.pyannote[1325].end 9177.22971875
transcript.pyannote[1326].speaker SPEAKER_31
transcript.pyannote[1326].start 9184.45221875
transcript.pyannote[1326].end 9184.99221875
transcript.pyannote[1327].speaker SPEAKER_33
transcript.pyannote[1327].start 9184.99221875
transcript.pyannote[1327].end 9185.04284375
transcript.pyannote[1328].speaker SPEAKER_31
transcript.pyannote[1328].start 9185.04284375
transcript.pyannote[1328].end 9185.09346875
transcript.pyannote[1329].speaker SPEAKER_33
transcript.pyannote[1329].start 9185.09346875
transcript.pyannote[1329].end 9185.22846875
transcript.pyannote[1330].speaker SPEAKER_31
transcript.pyannote[1330].start 9185.22846875
transcript.pyannote[1330].end 9185.59971875
transcript.pyannote[1331].speaker SPEAKER_33
transcript.pyannote[1331].start 9185.59971875
transcript.pyannote[1331].end 9185.61659375
transcript.pyannote[1332].speaker SPEAKER_31
transcript.pyannote[1332].start 9185.61659375
transcript.pyannote[1332].end 9185.65034375
transcript.pyannote[1333].speaker SPEAKER_33
transcript.pyannote[1333].start 9185.65034375
transcript.pyannote[1333].end 9189.85221875
transcript.pyannote[1334].speaker SPEAKER_33
transcript.pyannote[1334].start 9190.57784375
transcript.pyannote[1334].end 9194.20596875
transcript.pyannote[1335].speaker SPEAKER_33
transcript.pyannote[1335].start 9194.77971875
transcript.pyannote[1335].end 9198.08721875
transcript.pyannote[1336].speaker SPEAKER_33
transcript.pyannote[1336].start 9199.55534375
transcript.pyannote[1336].end 9202.35659375
transcript.pyannote[1337].speaker SPEAKER_33
transcript.pyannote[1337].start 9202.52534375
transcript.pyannote[1337].end 9205.29284375
transcript.pyannote[1338].speaker SPEAKER_33
transcript.pyannote[1338].start 9205.81596875
transcript.pyannote[1338].end 9208.34721875
transcript.pyannote[1339].speaker SPEAKER_33
transcript.pyannote[1339].start 9208.78596875
transcript.pyannote[1339].end 9213.44346875
transcript.pyannote[1340].speaker SPEAKER_33
transcript.pyannote[1340].start 9214.38846875
transcript.pyannote[1340].end 9216.32909375
transcript.pyannote[1341].speaker SPEAKER_43
transcript.pyannote[1341].start 9216.37971875
transcript.pyannote[1341].end 9216.59909375
transcript.pyannote[1342].speaker SPEAKER_33
transcript.pyannote[1342].start 9217.22346875
transcript.pyannote[1342].end 9217.98284375
transcript.pyannote[1343].speaker SPEAKER_33
transcript.pyannote[1343].start 9218.97846875
transcript.pyannote[1343].end 9220.75034375
transcript.pyannote[1344].speaker SPEAKER_33
transcript.pyannote[1344].start 9221.57721875
transcript.pyannote[1344].end 9226.79159375
transcript.pyannote[1345].speaker SPEAKER_19
transcript.pyannote[1345].start 9226.79159375
transcript.pyannote[1345].end 9227.06159375
transcript.pyannote[1346].speaker SPEAKER_33
transcript.pyannote[1346].start 9226.89284375
transcript.pyannote[1346].end 9228.39471875
transcript.pyannote[1347].speaker SPEAKER_33
transcript.pyannote[1347].start 9229.06971875
transcript.pyannote[1347].end 9232.05659375
transcript.pyannote[1348].speaker SPEAKER_33
transcript.pyannote[1348].start 9232.36034375
transcript.pyannote[1348].end 9234.04784375
transcript.pyannote[1349].speaker SPEAKER_33
transcript.pyannote[1349].start 9234.87471875
transcript.pyannote[1349].end 9238.68846875
transcript.pyannote[1350].speaker SPEAKER_33
transcript.pyannote[1350].start 9239.90346875
transcript.pyannote[1350].end 9241.62471875
transcript.pyannote[1351].speaker SPEAKER_33
transcript.pyannote[1351].start 9241.77659375
transcript.pyannote[1351].end 9245.53971875
transcript.pyannote[1352].speaker SPEAKER_33
transcript.pyannote[1352].start 9246.33284375
transcript.pyannote[1352].end 9246.95721875
transcript.pyannote[1353].speaker SPEAKER_33
transcript.pyannote[1353].start 9247.98659375
transcript.pyannote[1353].end 9249.91034375
transcript.pyannote[1354].speaker SPEAKER_33
transcript.pyannote[1354].start 9250.45034375
transcript.pyannote[1354].end 9252.59346875
transcript.pyannote[1355].speaker SPEAKER_43
transcript.pyannote[1355].start 9252.59346875
transcript.pyannote[1355].end 9252.93096875
transcript.pyannote[1356].speaker SPEAKER_43
transcript.pyannote[1356].start 9252.96471875
transcript.pyannote[1356].end 9253.20096875
transcript.pyannote[1357].speaker SPEAKER_33
transcript.pyannote[1357].start 9254.36534375
transcript.pyannote[1357].end 9255.02346875
transcript.pyannote[1358].speaker SPEAKER_33
transcript.pyannote[1358].start 9255.42846875
transcript.pyannote[1358].end 9256.47471875
transcript.pyannote[1359].speaker SPEAKER_33
transcript.pyannote[1359].start 9256.74471875
transcript.pyannote[1359].end 9257.57159375
transcript.pyannote[1360].speaker SPEAKER_33
transcript.pyannote[1360].start 9259.46159375
transcript.pyannote[1360].end 9260.22096875
transcript.pyannote[1361].speaker SPEAKER_33
transcript.pyannote[1361].start 9266.27909375
transcript.pyannote[1361].end 9270.59909375
transcript.pyannote[1362].speaker SPEAKER_33
transcript.pyannote[1362].start 9271.81409375
transcript.pyannote[1362].end 9273.38346875
transcript.pyannote[1363].speaker SPEAKER_33
transcript.pyannote[1363].start 9274.78409375
transcript.pyannote[1363].end 9276.64034375
transcript.pyannote[1364].speaker SPEAKER_33
transcript.pyannote[1364].start 9277.06221875
transcript.pyannote[1364].end 9277.73721875
transcript.pyannote[1365].speaker SPEAKER_33
transcript.pyannote[1365].start 9278.04096875
transcript.pyannote[1365].end 9278.71596875
transcript.pyannote[1366].speaker SPEAKER_33
transcript.pyannote[1366].start 9278.78346875
transcript.pyannote[1366].end 9279.77909375
transcript.pyannote[1367].speaker SPEAKER_33
transcript.pyannote[1367].start 9280.84221875
transcript.pyannote[1367].end 9281.80409375
transcript.pyannote[1368].speaker SPEAKER_16
transcript.pyannote[1368].start 9282.59721875
transcript.pyannote[1368].end 9288.62159375
transcript.pyannote[1369].speaker SPEAKER_33
transcript.pyannote[1369].start 9287.50784375
transcript.pyannote[1369].end 9288.60471875
transcript.pyannote[1370].speaker SPEAKER_33
transcript.pyannote[1370].start 9288.62159375
transcript.pyannote[1370].end 9288.67221875
transcript.pyannote[1371].speaker SPEAKER_16
transcript.pyannote[1371].start 9289.58346875
transcript.pyannote[1371].end 9290.56221875
transcript.pyannote[1372].speaker SPEAKER_33
transcript.pyannote[1372].start 9289.83659375
transcript.pyannote[1372].end 9291.62534375
transcript.pyannote[1373].speaker SPEAKER_33
transcript.pyannote[1373].start 9292.09784375
transcript.pyannote[1373].end 9296.43471875
transcript.pyannote[1374].speaker SPEAKER_33
transcript.pyannote[1374].start 9296.46846875
transcript.pyannote[1374].end 9296.55284375
transcript.pyannote[1375].speaker SPEAKER_44
transcript.pyannote[1375].start 9296.55284375
transcript.pyannote[1375].end 9296.82284375
transcript.pyannote[1376].speaker SPEAKER_33
transcript.pyannote[1376].start 9296.92409375
transcript.pyannote[1376].end 9297.75096875
transcript.pyannote[1377].speaker SPEAKER_33
transcript.pyannote[1377].start 9298.27409375
transcript.pyannote[1377].end 9299.37096875
transcript.pyannote[1378].speaker SPEAKER_33
transcript.pyannote[1378].start 9299.89409375
transcript.pyannote[1378].end 9300.28221875
transcript.pyannote[1379].speaker SPEAKER_33
transcript.pyannote[1379].start 9301.66596875
transcript.pyannote[1379].end 9302.44221875
transcript.pyannote[1380].speaker SPEAKER_33
transcript.pyannote[1380].start 9304.01159375
transcript.pyannote[1380].end 9304.65284375
transcript.pyannote[1381].speaker SPEAKER_33
transcript.pyannote[1381].start 9305.00721875
transcript.pyannote[1381].end 9305.73284375
transcript.pyannote[1382].speaker SPEAKER_33
transcript.pyannote[1382].start 9308.23034375
transcript.pyannote[1382].end 9312.44909375
transcript.pyannote[1383].speaker SPEAKER_33
transcript.pyannote[1383].start 9313.27596875
transcript.pyannote[1383].end 9314.22096875
transcript.pyannote[1384].speaker SPEAKER_33
transcript.pyannote[1384].start 9315.08159375
transcript.pyannote[1384].end 9317.64659375
transcript.pyannote[1385].speaker SPEAKER_33
transcript.pyannote[1385].start 9318.20346875
transcript.pyannote[1385].end 9318.50721875
transcript.pyannote[1386].speaker SPEAKER_33
transcript.pyannote[1386].start 9318.55784375
transcript.pyannote[1386].end 9319.26659375
transcript.pyannote[1387].speaker SPEAKER_33
transcript.pyannote[1387].start 9319.67159375
transcript.pyannote[1387].end 9322.47284375
transcript.pyannote[1388].speaker SPEAKER_33
transcript.pyannote[1388].start 9324.32909375
transcript.pyannote[1388].end 9324.76784375
transcript.pyannote[1389].speaker SPEAKER_33
transcript.pyannote[1389].start 9327.09659375
transcript.pyannote[1389].end 9327.70409375
transcript.pyannote[1390].speaker SPEAKER_33
transcript.pyannote[1390].start 9328.26096875
transcript.pyannote[1390].end 9330.75846875
transcript.pyannote[1391].speaker SPEAKER_33
transcript.pyannote[1391].start 9332.02409375
transcript.pyannote[1391].end 9332.53034375
transcript.pyannote[1392].speaker SPEAKER_33
transcript.pyannote[1392].start 9332.81721875
transcript.pyannote[1392].end 9334.11659375
transcript.pyannote[1393].speaker SPEAKER_33
transcript.pyannote[1393].start 9334.77471875
transcript.pyannote[1393].end 9342.46971875
transcript.pyannote[1394].speaker SPEAKER_33
transcript.pyannote[1394].start 9343.22909375
transcript.pyannote[1394].end 9346.68846875
transcript.pyannote[1395].speaker SPEAKER_33
transcript.pyannote[1395].start 9348.83159375
transcript.pyannote[1395].end 9350.09721875
transcript.pyannote[1396].speaker SPEAKER_33
transcript.pyannote[1396].start 9350.36721875
transcript.pyannote[1396].end 9351.04221875
transcript.pyannote[1397].speaker SPEAKER_33
transcript.pyannote[1397].start 9351.85221875
transcript.pyannote[1397].end 9352.79721875
transcript.pyannote[1398].speaker SPEAKER_33
transcript.pyannote[1398].start 9354.29909375
transcript.pyannote[1398].end 9355.05846875
transcript.pyannote[1399].speaker SPEAKER_33
transcript.pyannote[1399].start 9356.61096875
transcript.pyannote[1399].end 9358.66971875
transcript.pyannote[1400].speaker SPEAKER_33
transcript.pyannote[1400].start 9360.67784375
transcript.pyannote[1400].end 9361.69034375
transcript.pyannote[1401].speaker SPEAKER_33
transcript.pyannote[1401].start 9363.49596875
transcript.pyannote[1401].end 9366.85409375
transcript.pyannote[1402].speaker SPEAKER_33
transcript.pyannote[1402].start 9367.76534375
transcript.pyannote[1402].end 9369.21659375
transcript.pyannote[1403].speaker SPEAKER_33
transcript.pyannote[1403].start 9370.02659375
transcript.pyannote[1403].end 9371.24159375
transcript.pyannote[1404].speaker SPEAKER_33
transcript.pyannote[1404].start 9371.71409375
transcript.pyannote[1404].end 9372.92909375
transcript.pyannote[1405].speaker SPEAKER_33
transcript.pyannote[1405].start 9373.95846875
transcript.pyannote[1405].end 9375.15659375
transcript.pyannote[1406].speaker SPEAKER_33
transcript.pyannote[1406].start 9375.76409375
transcript.pyannote[1406].end 9377.31659375
transcript.pyannote[1407].speaker SPEAKER_33
transcript.pyannote[1407].start 9378.14346875
transcript.pyannote[1407].end 9379.02096875
transcript.pyannote[1408].speaker SPEAKER_33
transcript.pyannote[1408].start 9379.69596875
transcript.pyannote[1408].end 9382.64909375
transcript.pyannote[1409].speaker SPEAKER_33
transcript.pyannote[1409].start 9384.50534375
transcript.pyannote[1409].end 9385.23096875
transcript.pyannote[1410].speaker SPEAKER_33
transcript.pyannote[1410].start 9386.26034375
transcript.pyannote[1410].end 9387.76221875
transcript.pyannote[1411].speaker SPEAKER_33
transcript.pyannote[1411].start 9388.50471875
transcript.pyannote[1411].end 9390.63096875
transcript.pyannote[1412].speaker SPEAKER_33
transcript.pyannote[1412].start 9391.40721875
transcript.pyannote[1412].end 9393.58409375
transcript.pyannote[1413].speaker SPEAKER_33
transcript.pyannote[1413].start 9394.32659375
transcript.pyannote[1413].end 9395.77784375
transcript.pyannote[1414].speaker SPEAKER_33
transcript.pyannote[1414].start 9395.91284375
transcript.pyannote[1414].end 9397.26284375
transcript.pyannote[1415].speaker SPEAKER_33
transcript.pyannote[1415].start 9397.63409375
transcript.pyannote[1415].end 9399.89534375
transcript.pyannote[1416].speaker SPEAKER_33
transcript.pyannote[1416].start 9401.48159375
transcript.pyannote[1416].end 9403.37159375
transcript.pyannote[1417].speaker SPEAKER_33
transcript.pyannote[1417].start 9405.51471875
transcript.pyannote[1417].end 9406.62846875
transcript.pyannote[1418].speaker SPEAKER_33
transcript.pyannote[1418].start 9406.99971875
transcript.pyannote[1418].end 9408.70409375
transcript.pyannote[1419].speaker SPEAKER_33
transcript.pyannote[1419].start 9409.02471875
transcript.pyannote[1419].end 9409.83471875
transcript.pyannote[1420].speaker SPEAKER_33
transcript.pyannote[1420].start 9410.47596875
transcript.pyannote[1420].end 9412.55159375
transcript.pyannote[1421].speaker SPEAKER_33
transcript.pyannote[1421].start 9412.87221875
transcript.pyannote[1421].end 9414.30659375
transcript.pyannote[1422].speaker SPEAKER_33
transcript.pyannote[1422].start 9414.94784375
transcript.pyannote[1422].end 9416.02784375
transcript.pyannote[1423].speaker SPEAKER_23
transcript.pyannote[1423].start 9419.30159375
transcript.pyannote[1423].end 9423.72284375
transcript.pyannote[1424].speaker SPEAKER_23
transcript.pyannote[1424].start 9423.97596875
transcript.pyannote[1424].end 9439.63596875
transcript.pyannote[1425].speaker SPEAKER_33
transcript.pyannote[1425].start 9437.39159375
transcript.pyannote[1425].end 9437.89784375
transcript.pyannote[1426].speaker SPEAKER_23
transcript.pyannote[1426].start 9439.66971875
transcript.pyannote[1426].end 9439.70346875
transcript.pyannote[1427].speaker SPEAKER_33
transcript.pyannote[1427].start 9439.70346875
transcript.pyannote[1427].end 9442.15034375
transcript.pyannote[1428].speaker SPEAKER_33
transcript.pyannote[1428].start 9442.69034375
transcript.pyannote[1428].end 9448.66409375
transcript.pyannote[1429].speaker SPEAKER_33
transcript.pyannote[1429].start 9449.37284375
transcript.pyannote[1429].end 9451.70159375
transcript.pyannote[1430].speaker SPEAKER_33
transcript.pyannote[1430].start 9451.97159375
transcript.pyannote[1430].end 9454.82346875
transcript.pyannote[1431].speaker SPEAKER_33
transcript.pyannote[1431].start 9455.58284375
transcript.pyannote[1431].end 9459.98721875
transcript.pyannote[1432].speaker SPEAKER_33
transcript.pyannote[1432].start 9460.13909375
transcript.pyannote[1432].end 9461.30346875
transcript.pyannote[1433].speaker SPEAKER_33
transcript.pyannote[1433].start 9461.43846875
transcript.pyannote[1433].end 9462.24846875
transcript.pyannote[1434].speaker SPEAKER_33
transcript.pyannote[1434].start 9463.95284375
transcript.pyannote[1434].end 9467.71596875
transcript.pyannote[1435].speaker SPEAKER_33
transcript.pyannote[1435].start 9468.28971875
transcript.pyannote[1435].end 9468.81284375
transcript.pyannote[1436].speaker SPEAKER_33
transcript.pyannote[1436].start 9470.02784375
transcript.pyannote[1436].end 9471.64784375
transcript.pyannote[1437].speaker SPEAKER_33
transcript.pyannote[1437].start 9472.59284375
transcript.pyannote[1437].end 9473.45346875
transcript.pyannote[1438].speaker SPEAKER_33
transcript.pyannote[1438].start 9474.21284375
transcript.pyannote[1438].end 9475.29284375
transcript.pyannote[1439].speaker SPEAKER_33
transcript.pyannote[1439].start 9475.95096875
transcript.pyannote[1439].end 9479.83221875
transcript.pyannote[1440].speaker SPEAKER_33
transcript.pyannote[1440].start 9480.94596875
transcript.pyannote[1440].end 9481.58721875
transcript.pyannote[1441].speaker SPEAKER_33
transcript.pyannote[1441].start 9481.65471875
transcript.pyannote[1441].end 9483.12284375
transcript.pyannote[1442].speaker SPEAKER_33
transcript.pyannote[1442].start 9483.51096875
transcript.pyannote[1442].end 9486.63284375
transcript.pyannote[1443].speaker SPEAKER_33
transcript.pyannote[1443].start 9488.08409375
transcript.pyannote[1443].end 9490.86846875
transcript.pyannote[1444].speaker SPEAKER_33
transcript.pyannote[1444].start 9493.56846875
transcript.pyannote[1444].end 9495.52596875
transcript.pyannote[1445].speaker SPEAKER_33
transcript.pyannote[1445].start 9497.12909375
transcript.pyannote[1445].end 9497.60159375
transcript.pyannote[1446].speaker SPEAKER_33
transcript.pyannote[1446].start 9499.25534375
transcript.pyannote[1446].end 9500.89221875
transcript.pyannote[1447].speaker SPEAKER_33
transcript.pyannote[1447].start 9501.66846875
transcript.pyannote[1447].end 9502.71471875
transcript.pyannote[1448].speaker SPEAKER_33
transcript.pyannote[1448].start 9503.62596875
transcript.pyannote[1448].end 9505.41471875
transcript.pyannote[1449].speaker SPEAKER_33
transcript.pyannote[1449].start 9506.51159375
transcript.pyannote[1449].end 9507.38909375
transcript.pyannote[1450].speaker SPEAKER_33
transcript.pyannote[1450].start 9507.87846875
transcript.pyannote[1450].end 9508.75596875
transcript.pyannote[1451].speaker SPEAKER_33
transcript.pyannote[1451].start 9510.00471875
transcript.pyannote[1451].end 9510.74721875
transcript.pyannote[1452].speaker SPEAKER_33
transcript.pyannote[1452].start 9512.36721875
transcript.pyannote[1452].end 9513.41346875
transcript.pyannote[1453].speaker SPEAKER_33
transcript.pyannote[1453].start 9514.96596875
transcript.pyannote[1453].end 9524.21346875
transcript.pyannote[1454].speaker SPEAKER_33
transcript.pyannote[1454].start 9525.63096875
transcript.pyannote[1454].end 9526.37346875
transcript.pyannote[1455].speaker SPEAKER_33
transcript.pyannote[1455].start 9528.44909375
transcript.pyannote[1455].end 9528.76971875
transcript.pyannote[1456].speaker SPEAKER_33
transcript.pyannote[1456].start 9529.79909375
transcript.pyannote[1456].end 9531.72284375
transcript.pyannote[1457].speaker SPEAKER_16
transcript.pyannote[1457].start 9531.77346875
transcript.pyannote[1457].end 9532.11096875
transcript.pyannote[1458].speaker SPEAKER_33
transcript.pyannote[1458].start 9532.80284375
transcript.pyannote[1458].end 9532.81971875
transcript.pyannote[1459].speaker SPEAKER_16
transcript.pyannote[1459].start 9532.81971875
transcript.pyannote[1459].end 9533.81534375
transcript.pyannote[1460].speaker SPEAKER_33
transcript.pyannote[1460].start 9533.15721875
transcript.pyannote[1460].end 9538.05096875
transcript.pyannote[1461].speaker SPEAKER_16
transcript.pyannote[1461].start 9537.91596875
transcript.pyannote[1461].end 9555.95534375
transcript.pyannote[1462].speaker SPEAKER_33
transcript.pyannote[1462].start 9555.71909375
transcript.pyannote[1462].end 9561.38909375
transcript.pyannote[1463].speaker SPEAKER_33
transcript.pyannote[1463].start 9562.30034375
transcript.pyannote[1463].end 9570.60284375
transcript.pyannote[1464].speaker SPEAKER_33
transcript.pyannote[1464].start 9571.51409375
transcript.pyannote[1464].end 9574.87221875
transcript.pyannote[1465].speaker SPEAKER_33
transcript.pyannote[1465].start 9574.90596875
transcript.pyannote[1465].end 9576.03659375
transcript.pyannote[1466].speaker SPEAKER_16
transcript.pyannote[1466].start 9576.03659375
transcript.pyannote[1466].end 9576.88034375
transcript.pyannote[1467].speaker SPEAKER_33
transcript.pyannote[1467].start 9576.88034375
transcript.pyannote[1467].end 9577.28534375
transcript.pyannote[1468].speaker SPEAKER_33
transcript.pyannote[1468].start 9578.02784375
transcript.pyannote[1468].end 9581.03159375
transcript.pyannote[1469].speaker SPEAKER_33
transcript.pyannote[1469].start 9581.48721875
transcript.pyannote[1469].end 9583.29284375
transcript.pyannote[1470].speaker SPEAKER_33
transcript.pyannote[1470].start 9583.49534375
transcript.pyannote[1470].end 9586.24596875
transcript.pyannote[1471].speaker SPEAKER_16
transcript.pyannote[1471].start 9586.24596875
transcript.pyannote[1471].end 9586.68471875
transcript.pyannote[1472].speaker SPEAKER_33
transcript.pyannote[1472].start 9586.68471875
transcript.pyannote[1472].end 9587.96721875
transcript.pyannote[1473].speaker SPEAKER_04
transcript.pyannote[1473].start 9588.96284375
transcript.pyannote[1473].end 9605.82096875
transcript.pyannote[1474].speaker SPEAKER_04
transcript.pyannote[1474].start 9606.02346875
transcript.pyannote[1474].end 9606.64784375
transcript.pyannote[1475].speaker SPEAKER_04
transcript.pyannote[1475].start 9606.76596875
transcript.pyannote[1475].end 9610.47846875
transcript.pyannote[1476].speaker SPEAKER_04
transcript.pyannote[1476].start 9625.75034375
transcript.pyannote[1476].end 9626.71221875
transcript.pyannote[1477].speaker SPEAKER_04
transcript.pyannote[1477].start 9626.96534375
transcript.pyannote[1477].end 9627.74159375
transcript.pyannote[1478].speaker SPEAKER_04
transcript.pyannote[1478].start 9627.92721875
transcript.pyannote[1478].end 9628.82159375
transcript.pyannote[1479].speaker SPEAKER_04
transcript.pyannote[1479].start 9632.39909375
transcript.pyannote[1479].end 9634.03596875
transcript.pyannote[1480].speaker SPEAKER_04
transcript.pyannote[1480].start 9634.45784375
transcript.pyannote[1480].end 9636.21284375
transcript.pyannote[1481].speaker SPEAKER_06
transcript.pyannote[1481].start 9636.68534375
transcript.pyannote[1481].end 9637.42784375
transcript.pyannote[1482].speaker SPEAKER_35
transcript.pyannote[1482].start 9637.42784375
transcript.pyannote[1482].end 9637.44471875
transcript.pyannote[1483].speaker SPEAKER_35
transcript.pyannote[1483].start 9637.56284375
transcript.pyannote[1483].end 9637.57971875
transcript.pyannote[1484].speaker SPEAKER_04
transcript.pyannote[1484].start 9637.57971875
transcript.pyannote[1484].end 9637.86659375
transcript.pyannote[1485].speaker SPEAKER_35
transcript.pyannote[1485].start 9637.86659375
transcript.pyannote[1485].end 9637.88346875
transcript.pyannote[1486].speaker SPEAKER_04
transcript.pyannote[1486].start 9637.88346875
transcript.pyannote[1486].end 9637.93409375
transcript.pyannote[1487].speaker SPEAKER_35
transcript.pyannote[1487].start 9643.46909375
transcript.pyannote[1487].end 9643.48596875
transcript.pyannote[1488].speaker SPEAKER_36
transcript.pyannote[1488].start 9643.48596875
transcript.pyannote[1488].end 9645.17346875
transcript.pyannote[1489].speaker SPEAKER_36
transcript.pyannote[1489].start 9645.46034375
transcript.pyannote[1489].end 9647.83971875
transcript.pyannote[1490].speaker SPEAKER_36
transcript.pyannote[1490].start 9648.27846875
transcript.pyannote[1490].end 9650.37096875
transcript.pyannote[1491].speaker SPEAKER_36
transcript.pyannote[1491].start 9650.92784375
transcript.pyannote[1491].end 9654.04971875
transcript.pyannote[1492].speaker SPEAKER_36
transcript.pyannote[1492].start 9654.33659375
transcript.pyannote[1492].end 9664.66409375
transcript.pyannote[1493].speaker SPEAKER_36
transcript.pyannote[1493].start 9664.96784375
transcript.pyannote[1493].end 9665.76096875
transcript.pyannote[1494].speaker SPEAKER_36
transcript.pyannote[1494].start 9665.96346875
transcript.pyannote[1494].end 9669.38909375
transcript.pyannote[1495].speaker SPEAKER_36
transcript.pyannote[1495].start 9670.04721875
transcript.pyannote[1495].end 9672.86534375
transcript.pyannote[1496].speaker SPEAKER_36
transcript.pyannote[1496].start 9673.42221875
transcript.pyannote[1496].end 9680.49284375
transcript.pyannote[1497].speaker SPEAKER_36
transcript.pyannote[1497].start 9680.54346875
transcript.pyannote[1497].end 9683.80034375
transcript.pyannote[1498].speaker SPEAKER_36
transcript.pyannote[1498].start 9684.01971875
transcript.pyannote[1498].end 9687.44534375
transcript.pyannote[1499].speaker SPEAKER_36
transcript.pyannote[1499].start 9687.96846875
transcript.pyannote[1499].end 9689.82471875
transcript.pyannote[1500].speaker SPEAKER_36
transcript.pyannote[1500].start 9690.56721875
transcript.pyannote[1500].end 9693.01409375
transcript.pyannote[1501].speaker SPEAKER_36
transcript.pyannote[1501].start 9694.07721875
transcript.pyannote[1501].end 9695.51159375
transcript.pyannote[1502].speaker SPEAKER_36
transcript.pyannote[1502].start 9696.37221875
transcript.pyannote[1502].end 9697.50284375
transcript.pyannote[1503].speaker SPEAKER_36
transcript.pyannote[1503].start 9698.21159375
transcript.pyannote[1503].end 9699.37596875
transcript.pyannote[1504].speaker SPEAKER_36
transcript.pyannote[1504].start 9700.72596875
transcript.pyannote[1504].end 9702.00846875
transcript.pyannote[1505].speaker SPEAKER_36
transcript.pyannote[1505].start 9702.81846875
transcript.pyannote[1505].end 9703.20659375
transcript.pyannote[1506].speaker SPEAKER_36
transcript.pyannote[1506].start 9703.67909375
transcript.pyannote[1506].end 9704.53971875
transcript.pyannote[1507].speaker SPEAKER_36
transcript.pyannote[1507].start 9704.72534375
transcript.pyannote[1507].end 9706.04159375
transcript.pyannote[1508].speaker SPEAKER_36
transcript.pyannote[1508].start 9706.81784375
transcript.pyannote[1508].end 9708.43784375
transcript.pyannote[1509].speaker SPEAKER_36
transcript.pyannote[1509].start 9708.89346875
transcript.pyannote[1509].end 9709.51784375
transcript.pyannote[1510].speaker SPEAKER_36
transcript.pyannote[1510].start 9710.29409375
transcript.pyannote[1510].end 9710.90159375
transcript.pyannote[1511].speaker SPEAKER_36
transcript.pyannote[1511].start 9711.13784375
transcript.pyannote[1511].end 9711.94784375
transcript.pyannote[1512].speaker SPEAKER_36
transcript.pyannote[1512].start 9712.42034375
transcript.pyannote[1512].end 9714.36096875
transcript.pyannote[1513].speaker SPEAKER_36
transcript.pyannote[1513].start 9714.78284375
transcript.pyannote[1513].end 9715.23846875
transcript.pyannote[1514].speaker SPEAKER_36
transcript.pyannote[1514].start 9715.81221875
transcript.pyannote[1514].end 9716.84159375
transcript.pyannote[1515].speaker SPEAKER_36
transcript.pyannote[1515].start 9717.38159375
transcript.pyannote[1515].end 9718.61346875
transcript.pyannote[1516].speaker SPEAKER_36
transcript.pyannote[1516].start 9719.76096875
transcript.pyannote[1516].end 9722.54534375
transcript.pyannote[1517].speaker SPEAKER_36
transcript.pyannote[1517].start 9723.32159375
transcript.pyannote[1517].end 9731.52284375
transcript.pyannote[1518].speaker SPEAKER_36
transcript.pyannote[1518].start 9731.99534375
transcript.pyannote[1518].end 9732.83909375
transcript.pyannote[1519].speaker SPEAKER_36
transcript.pyannote[1519].start 9733.48034375
transcript.pyannote[1519].end 9734.44221875
transcript.pyannote[1520].speaker SPEAKER_36
transcript.pyannote[1520].start 9735.04971875
transcript.pyannote[1520].end 9741.20909375
transcript.pyannote[1521].speaker SPEAKER_36
transcript.pyannote[1521].start 9741.96846875
transcript.pyannote[1521].end 9747.84096875
transcript.pyannote[1522].speaker SPEAKER_36
transcript.pyannote[1522].start 9748.00971875
transcript.pyannote[1522].end 9748.04346875
transcript.pyannote[1523].speaker SPEAKER_36
transcript.pyannote[1523].start 9748.07721875
transcript.pyannote[1523].end 9754.91159375
transcript.pyannote[1524].speaker SPEAKER_36
transcript.pyannote[1524].start 9755.38409375
transcript.pyannote[1524].end 9755.82284375
transcript.pyannote[1525].speaker SPEAKER_36
transcript.pyannote[1525].start 9755.92409375
transcript.pyannote[1525].end 9758.48909375
transcript.pyannote[1526].speaker SPEAKER_36
transcript.pyannote[1526].start 9760.15971875
transcript.pyannote[1526].end 9762.26909375
transcript.pyannote[1527].speaker SPEAKER_36
transcript.pyannote[1527].start 9763.41659375
transcript.pyannote[1527].end 9764.04096875
transcript.pyannote[1528].speaker SPEAKER_36
transcript.pyannote[1528].start 9764.29409375
transcript.pyannote[1528].end 9770.28471875
transcript.pyannote[1529].speaker SPEAKER_36
transcript.pyannote[1529].start 9770.67284375
transcript.pyannote[1529].end 9774.03096875
transcript.pyannote[1530].speaker SPEAKER_06
transcript.pyannote[1530].start 9774.80721875
transcript.pyannote[1530].end 9791.02409375
transcript.pyannote[1531].speaker SPEAKER_06
transcript.pyannote[1531].start 9791.31096875
transcript.pyannote[1531].end 9797.41971875
transcript.pyannote[1532].speaker SPEAKER_36
transcript.pyannote[1532].start 9797.38596875
transcript.pyannote[1532].end 9799.76534375
transcript.pyannote[1533].speaker SPEAKER_36
transcript.pyannote[1533].start 9800.60909375
transcript.pyannote[1533].end 9804.60846875
transcript.pyannote[1534].speaker SPEAKER_36
transcript.pyannote[1534].start 9804.96284375
transcript.pyannote[1534].end 9806.43096875
transcript.pyannote[1535].speaker SPEAKER_36
transcript.pyannote[1535].start 9806.81909375
transcript.pyannote[1535].end 9816.18471875
transcript.pyannote[1536].speaker SPEAKER_36
transcript.pyannote[1536].start 9816.72471875
transcript.pyannote[1536].end 9819.01971875
transcript.pyannote[1537].speaker SPEAKER_36
transcript.pyannote[1537].start 9819.35721875
transcript.pyannote[1537].end 9821.04471875
transcript.pyannote[1538].speaker SPEAKER_36
transcript.pyannote[1538].start 9821.31471875
transcript.pyannote[1538].end 9822.10784375
transcript.pyannote[1539].speaker SPEAKER_36
transcript.pyannote[1539].start 9823.05284375
transcript.pyannote[1539].end 9824.36909375
transcript.pyannote[1540].speaker SPEAKER_36
transcript.pyannote[1540].start 9824.57159375
transcript.pyannote[1540].end 9826.07346875
transcript.pyannote[1541].speaker SPEAKER_36
transcript.pyannote[1541].start 9826.74846875
transcript.pyannote[1541].end 9827.33909375
transcript.pyannote[1542].speaker SPEAKER_36
transcript.pyannote[1542].start 9827.67659375
transcript.pyannote[1542].end 9828.90846875
transcript.pyannote[1543].speaker SPEAKER_36
transcript.pyannote[1543].start 9829.97159375
transcript.pyannote[1543].end 9830.74784375
transcript.pyannote[1544].speaker SPEAKER_36
transcript.pyannote[1544].start 9831.62534375
transcript.pyannote[1544].end 9839.92784375
transcript.pyannote[1545].speaker SPEAKER_36
transcript.pyannote[1545].start 9840.23159375
transcript.pyannote[1545].end 9842.29034375
transcript.pyannote[1546].speaker SPEAKER_36
transcript.pyannote[1546].start 9842.96534375
transcript.pyannote[1546].end 9845.10846875
transcript.pyannote[1547].speaker SPEAKER_16
transcript.pyannote[1547].start 9845.10846875
transcript.pyannote[1547].end 9845.14221875
transcript.pyannote[1548].speaker SPEAKER_16
transcript.pyannote[1548].start 9846.05346875
transcript.pyannote[1548].end 9847.97721875
transcript.pyannote[1549].speaker SPEAKER_36
transcript.pyannote[1549].start 9848.60159375
transcript.pyannote[1549].end 9850.12034375
transcript.pyannote[1550].speaker SPEAKER_36
transcript.pyannote[1550].start 9850.45784375
transcript.pyannote[1550].end 9853.25909375
transcript.pyannote[1551].speaker SPEAKER_14
transcript.pyannote[1551].start 9855.18284375
transcript.pyannote[1551].end 9856.76909375
transcript.pyannote[1552].speaker SPEAKER_14
transcript.pyannote[1552].start 9857.10659375
transcript.pyannote[1552].end 9867.97409375
transcript.pyannote[1553].speaker SPEAKER_36
transcript.pyannote[1553].start 9867.97409375
transcript.pyannote[1553].end 9885.10221875
transcript.pyannote[1554].speaker SPEAKER_36
transcript.pyannote[1554].start 9885.40596875
transcript.pyannote[1554].end 9888.24096875
transcript.pyannote[1555].speaker SPEAKER_36
transcript.pyannote[1555].start 9888.47721875
transcript.pyannote[1555].end 9890.21534375
transcript.pyannote[1556].speaker SPEAKER_36
transcript.pyannote[1556].start 9890.45159375
transcript.pyannote[1556].end 9892.37534375
transcript.pyannote[1557].speaker SPEAKER_36
transcript.pyannote[1557].start 9892.98284375
transcript.pyannote[1557].end 9893.45534375
transcript.pyannote[1558].speaker SPEAKER_36
transcript.pyannote[1558].start 9893.97846875
transcript.pyannote[1558].end 9895.26096875
transcript.pyannote[1559].speaker SPEAKER_36
transcript.pyannote[1559].start 9895.73346875
transcript.pyannote[1559].end 9897.45471875
transcript.pyannote[1560].speaker SPEAKER_36
transcript.pyannote[1560].start 9897.77534375
transcript.pyannote[1560].end 9898.23096875
transcript.pyannote[1561].speaker SPEAKER_36
transcript.pyannote[1561].start 9898.48409375
transcript.pyannote[1561].end 9900.28971875
transcript.pyannote[1562].speaker SPEAKER_36
transcript.pyannote[1562].start 9900.40784375
transcript.pyannote[1562].end 9905.70659375
transcript.pyannote[1563].speaker SPEAKER_36
transcript.pyannote[1563].start 9906.01034375
transcript.pyannote[1563].end 9906.53346875
transcript.pyannote[1564].speaker SPEAKER_36
transcript.pyannote[1564].start 9906.90471875
transcript.pyannote[1564].end 9908.42346875
transcript.pyannote[1565].speaker SPEAKER_36
transcript.pyannote[1565].start 9909.25034375
transcript.pyannote[1565].end 9910.71846875
transcript.pyannote[1566].speaker SPEAKER_36
transcript.pyannote[1566].start 9911.08971875
transcript.pyannote[1566].end 9927.08721875
transcript.pyannote[1567].speaker SPEAKER_36
transcript.pyannote[1567].start 9927.61034375
transcript.pyannote[1567].end 9939.49034375
transcript.pyannote[1568].speaker SPEAKER_36
transcript.pyannote[1568].start 9939.96284375
transcript.pyannote[1568].end 9941.81909375
transcript.pyannote[1569].speaker SPEAKER_36
transcript.pyannote[1569].start 9941.92034375
transcript.pyannote[1569].end 9944.55284375
transcript.pyannote[1570].speaker SPEAKER_36
transcript.pyannote[1570].start 9946.02096875
transcript.pyannote[1570].end 9948.87284375
transcript.pyannote[1571].speaker SPEAKER_36
transcript.pyannote[1571].start 9949.41284375
transcript.pyannote[1571].end 9953.15909375
transcript.pyannote[1572].speaker SPEAKER_36
transcript.pyannote[1572].start 9953.66534375
transcript.pyannote[1572].end 9954.52596875
transcript.pyannote[1573].speaker SPEAKER_36
transcript.pyannote[1573].start 9954.55971875
transcript.pyannote[1573].end 9959.95971875
transcript.pyannote[1574].speaker SPEAKER_36
transcript.pyannote[1574].start 9960.39846875
transcript.pyannote[1574].end 9961.29284375
transcript.pyannote[1575].speaker SPEAKER_36
transcript.pyannote[1575].start 9961.56284375
transcript.pyannote[1575].end 9963.84096875
transcript.pyannote[1576].speaker SPEAKER_36
transcript.pyannote[1576].start 9964.48221875
transcript.pyannote[1576].end 9966.45659375
transcript.pyannote[1577].speaker SPEAKER_36
transcript.pyannote[1577].start 9966.96284375
transcript.pyannote[1577].end 9969.83159375
transcript.pyannote[1578].speaker SPEAKER_36
transcript.pyannote[1578].start 9970.16909375
transcript.pyannote[1578].end 9970.97909375
transcript.pyannote[1579].speaker SPEAKER_36
transcript.pyannote[1579].start 9971.99159375
transcript.pyannote[1579].end 9972.53159375
transcript.pyannote[1580].speaker SPEAKER_36
transcript.pyannote[1580].start 9973.64534375
transcript.pyannote[1580].end 9975.36659375
transcript.pyannote[1581].speaker SPEAKER_36
transcript.pyannote[1581].start 9975.73784375
transcript.pyannote[1581].end 9977.64471875
transcript.pyannote[1582].speaker SPEAKER_36
transcript.pyannote[1582].start 9977.84721875
transcript.pyannote[1582].end 9980.63159375
transcript.pyannote[1583].speaker SPEAKER_36
transcript.pyannote[1583].start 9980.73284375
transcript.pyannote[1583].end 9992.88284375
transcript.pyannote[1584].speaker SPEAKER_36
transcript.pyannote[1584].start 9993.67596875
transcript.pyannote[1584].end 9995.43096875
transcript.pyannote[1585].speaker SPEAKER_36
transcript.pyannote[1585].start 9996.49409375
transcript.pyannote[1585].end 9998.21534375
transcript.pyannote[1586].speaker SPEAKER_36
transcript.pyannote[1586].start 9998.75534375
transcript.pyannote[1586].end 10000.17284375
transcript.pyannote[1587].speaker SPEAKER_36
transcript.pyannote[1587].start 10000.96596875
transcript.pyannote[1587].end 10003.12596875
transcript.pyannote[1588].speaker SPEAKER_16
transcript.pyannote[1588].start 10004.20596875
transcript.pyannote[1588].end 10040.97659375
transcript.pyannote[1589].speaker SPEAKER_36
transcript.pyannote[1589].start 10040.97659375
transcript.pyannote[1589].end 10044.06471875
transcript.pyannote[1590].speaker SPEAKER_36
transcript.pyannote[1590].start 10044.72284375
transcript.pyannote[1590].end 10046.03909375
transcript.pyannote[1591].speaker SPEAKER_36
transcript.pyannote[1591].start 10046.47784375
transcript.pyannote[1591].end 10047.86159375
transcript.pyannote[1592].speaker SPEAKER_36
transcript.pyannote[1592].start 10048.35096875
transcript.pyannote[1592].end 10050.57846875
transcript.pyannote[1593].speaker SPEAKER_36
transcript.pyannote[1593].start 10050.84846875
transcript.pyannote[1593].end 10065.39471875
transcript.pyannote[1594].speaker SPEAKER_36
transcript.pyannote[1594].start 10065.68159375
transcript.pyannote[1594].end 10072.66784375
transcript.pyannote[1595].speaker SPEAKER_36
transcript.pyannote[1595].start 10073.42721875
transcript.pyannote[1595].end 10074.54096875
transcript.pyannote[1596].speaker SPEAKER_36
transcript.pyannote[1596].start 10075.48596875
transcript.pyannote[1596].end 10075.67159375
transcript.pyannote[1597].speaker SPEAKER_36
transcript.pyannote[1597].start 10076.02596875
transcript.pyannote[1597].end 10076.53221875
transcript.pyannote[1598].speaker SPEAKER_36
transcript.pyannote[1598].start 10077.24096875
transcript.pyannote[1598].end 10078.40534375
transcript.pyannote[1599].speaker SPEAKER_36
transcript.pyannote[1599].start 10080.48096875
transcript.pyannote[1599].end 10080.90284375
transcript.pyannote[1600].speaker SPEAKER_36
transcript.pyannote[1600].start 10082.06721875
transcript.pyannote[1600].end 10083.55221875
transcript.pyannote[1601].speaker SPEAKER_36
transcript.pyannote[1601].start 10084.22721875
transcript.pyannote[1601].end 10085.35784375
transcript.pyannote[1602].speaker SPEAKER_36
transcript.pyannote[1602].start 10085.74596875
transcript.pyannote[1602].end 10087.18034375
transcript.pyannote[1603].speaker SPEAKER_36
transcript.pyannote[1603].start 10087.46721875
transcript.pyannote[1603].end 10088.15909375
transcript.pyannote[1604].speaker SPEAKER_36
transcript.pyannote[1604].start 10088.39534375
transcript.pyannote[1604].end 10089.81284375
transcript.pyannote[1605].speaker SPEAKER_36
transcript.pyannote[1605].start 10090.15034375
transcript.pyannote[1605].end 10090.48784375
transcript.pyannote[1606].speaker SPEAKER_36
transcript.pyannote[1606].start 10090.84221875
transcript.pyannote[1606].end 10092.49596875
transcript.pyannote[1607].speaker SPEAKER_36
transcript.pyannote[1607].start 10092.61409375
transcript.pyannote[1607].end 10093.96409375
transcript.pyannote[1608].speaker SPEAKER_36
transcript.pyannote[1608].start 10094.36909375
transcript.pyannote[1608].end 10103.53221875
transcript.pyannote[1609].speaker SPEAKER_36
transcript.pyannote[1609].start 10104.67971875
transcript.pyannote[1609].end 10108.00409375
transcript.pyannote[1610].speaker SPEAKER_35
transcript.pyannote[1610].start 10108.00409375
transcript.pyannote[1610].end 10108.02096875
transcript.pyannote[1611].speaker SPEAKER_36
transcript.pyannote[1611].start 10108.49346875
transcript.pyannote[1611].end 10109.03346875
transcript.pyannote[1612].speaker SPEAKER_35
transcript.pyannote[1612].start 10109.03346875
transcript.pyannote[1612].end 10109.16846875
transcript.pyannote[1613].speaker SPEAKER_36
transcript.pyannote[1613].start 10110.26534375
transcript.pyannote[1613].end 10110.28221875
transcript.pyannote[1614].speaker SPEAKER_35
transcript.pyannote[1614].start 10110.28221875
transcript.pyannote[1614].end 10114.77096875
transcript.pyannote[1615].speaker SPEAKER_35
transcript.pyannote[1615].start 10115.20971875
transcript.pyannote[1615].end 10117.01534375
transcript.pyannote[1616].speaker SPEAKER_06
transcript.pyannote[1616].start 10116.40784375
transcript.pyannote[1616].end 10117.60596875
transcript.pyannote[1617].speaker SPEAKER_35
transcript.pyannote[1617].start 10117.60596875
transcript.pyannote[1617].end 10118.09534375
transcript.pyannote[1618].speaker SPEAKER_06
transcript.pyannote[1618].start 10118.09534375
transcript.pyannote[1618].end 10118.21346875
transcript.pyannote[1619].speaker SPEAKER_35
transcript.pyannote[1619].start 10118.21346875
transcript.pyannote[1619].end 10118.36534375
transcript.pyannote[1620].speaker SPEAKER_06
transcript.pyannote[1620].start 10118.36534375
transcript.pyannote[1620].end 10118.65221875
transcript.pyannote[1621].speaker SPEAKER_06
transcript.pyannote[1621].start 10118.73659375
transcript.pyannote[1621].end 10120.00221875
transcript.pyannote[1622].speaker SPEAKER_35
transcript.pyannote[1622].start 10118.85471875
transcript.pyannote[1622].end 10119.96846875
transcript.pyannote[1623].speaker SPEAKER_35
transcript.pyannote[1623].start 10120.00221875
transcript.pyannote[1623].end 10120.03596875
transcript.pyannote[1624].speaker SPEAKER_36
transcript.pyannote[1624].start 10120.55909375
transcript.pyannote[1624].end 10122.22971875
transcript.pyannote[1625].speaker SPEAKER_06
transcript.pyannote[1625].start 10122.22971875
transcript.pyannote[1625].end 10130.76846875
transcript.pyannote[1626].speaker SPEAKER_06
transcript.pyannote[1626].start 10131.59534375
transcript.pyannote[1626].end 10136.47221875
transcript.pyannote[1627].speaker SPEAKER_06
transcript.pyannote[1627].start 10136.67471875
transcript.pyannote[1627].end 10139.10471875
transcript.pyannote[1628].speaker SPEAKER_06
transcript.pyannote[1628].start 10139.49284375
transcript.pyannote[1628].end 10146.49596875
transcript.pyannote[1629].speaker SPEAKER_06
transcript.pyannote[1629].start 10147.03596875
transcript.pyannote[1629].end 10149.97221875
transcript.pyannote[1630].speaker SPEAKER_36
transcript.pyannote[1630].start 10149.97221875
transcript.pyannote[1630].end 10150.42784375
transcript.pyannote[1631].speaker SPEAKER_36
transcript.pyannote[1631].start 10151.17034375
transcript.pyannote[1631].end 10155.91221875
transcript.pyannote[1632].speaker SPEAKER_36
transcript.pyannote[1632].start 10156.45221875
transcript.pyannote[1632].end 10160.89034375
transcript.pyannote[1633].speaker SPEAKER_36
transcript.pyannote[1633].start 10161.29534375
transcript.pyannote[1633].end 10162.29096875
transcript.pyannote[1634].speaker SPEAKER_36
transcript.pyannote[1634].start 10162.81409375
transcript.pyannote[1634].end 10163.10096875
transcript.pyannote[1635].speaker SPEAKER_36
transcript.pyannote[1635].start 10163.21909375
transcript.pyannote[1635].end 10164.87284375
transcript.pyannote[1636].speaker SPEAKER_36
transcript.pyannote[1636].start 10165.51409375
transcript.pyannote[1636].end 10167.35346875
transcript.pyannote[1637].speaker SPEAKER_36
transcript.pyannote[1637].start 10167.75846875
transcript.pyannote[1637].end 10170.25596875
transcript.pyannote[1638].speaker SPEAKER_36
transcript.pyannote[1638].start 10170.55971875
transcript.pyannote[1638].end 10171.50471875
transcript.pyannote[1639].speaker SPEAKER_36
transcript.pyannote[1639].start 10171.70721875
transcript.pyannote[1639].end 10176.71909375
transcript.pyannote[1640].speaker SPEAKER_36
transcript.pyannote[1640].start 10177.20846875
transcript.pyannote[1640].end 10180.54971875
transcript.pyannote[1641].speaker SPEAKER_36
transcript.pyannote[1641].start 10180.76909375
transcript.pyannote[1641].end 10184.16096875
transcript.pyannote[1642].speaker SPEAKER_36
transcript.pyannote[1642].start 10184.49846875
transcript.pyannote[1642].end 10190.86034375
transcript.pyannote[1643].speaker SPEAKER_36
transcript.pyannote[1643].start 10191.31596875
transcript.pyannote[1643].end 10199.73659375
transcript.pyannote[1644].speaker SPEAKER_36
transcript.pyannote[1644].start 10200.31034375
transcript.pyannote[1644].end 10204.36034375
transcript.pyannote[1645].speaker SPEAKER_36
transcript.pyannote[1645].start 10204.88346875
transcript.pyannote[1645].end 10207.09409375
transcript.pyannote[1646].speaker SPEAKER_36
transcript.pyannote[1646].start 10208.34284375
transcript.pyannote[1646].end 10209.72659375
transcript.pyannote[1647].speaker SPEAKER_36
transcript.pyannote[1647].start 10209.97971875
transcript.pyannote[1647].end 10211.16096875
transcript.pyannote[1648].speaker SPEAKER_36
transcript.pyannote[1648].start 10211.51534375
transcript.pyannote[1648].end 10218.04596875
transcript.pyannote[1649].speaker SPEAKER_36
transcript.pyannote[1649].start 10218.53534375
transcript.pyannote[1649].end 10223.88471875
transcript.pyannote[1650].speaker SPEAKER_36
transcript.pyannote[1650].start 10224.39096875
transcript.pyannote[1650].end 10225.09971875
transcript.pyannote[1651].speaker SPEAKER_36
transcript.pyannote[1651].start 10225.96034375
transcript.pyannote[1651].end 10227.44534375
transcript.pyannote[1652].speaker SPEAKER_36
transcript.pyannote[1652].start 10227.76596875
transcript.pyannote[1652].end 10228.59284375
transcript.pyannote[1653].speaker SPEAKER_36
transcript.pyannote[1653].start 10228.79534375
transcript.pyannote[1653].end 10230.29721875
transcript.pyannote[1654].speaker SPEAKER_36
transcript.pyannote[1654].start 10230.85409375
transcript.pyannote[1654].end 10232.54159375
transcript.pyannote[1655].speaker SPEAKER_36
transcript.pyannote[1655].start 10232.69346875
transcript.pyannote[1655].end 10233.21659375
transcript.pyannote[1656].speaker SPEAKER_36
transcript.pyannote[1656].start 10233.63846875
transcript.pyannote[1656].end 10234.58346875
transcript.pyannote[1657].speaker SPEAKER_36
transcript.pyannote[1657].start 10234.95471875
transcript.pyannote[1657].end 10240.92846875
transcript.pyannote[1658].speaker SPEAKER_36
transcript.pyannote[1658].start 10241.77221875
transcript.pyannote[1658].end 10244.75909375
transcript.pyannote[1659].speaker SPEAKER_36
transcript.pyannote[1659].start 10244.94471875
transcript.pyannote[1659].end 10256.68971875
transcript.pyannote[1660].speaker SPEAKER_36
transcript.pyannote[1660].start 10258.02284375
transcript.pyannote[1660].end 10260.87471875
transcript.pyannote[1661].speaker SPEAKER_36
transcript.pyannote[1661].start 10261.19534375
transcript.pyannote[1661].end 10262.73096875
transcript.pyannote[1662].speaker SPEAKER_06
transcript.pyannote[1662].start 10264.18221875
transcript.pyannote[1662].end 10274.40846875
transcript.pyannote[1663].speaker SPEAKER_36
transcript.pyannote[1663].start 10264.90784375
transcript.pyannote[1663].end 10265.07659375
transcript.pyannote[1664].speaker SPEAKER_36
transcript.pyannote[1664].start 10274.40846875
transcript.pyannote[1664].end 10274.42534375
transcript.pyannote[1665].speaker SPEAKER_06
transcript.pyannote[1665].start 10274.99909375
transcript.pyannote[1665].end 10275.97784375
transcript.pyannote[1666].speaker SPEAKER_36
transcript.pyannote[1666].start 10275.97784375
transcript.pyannote[1666].end 10286.74409375
transcript.pyannote[1667].speaker SPEAKER_36
transcript.pyannote[1667].start 10286.96346875
transcript.pyannote[1667].end 10296.98721875
transcript.pyannote[1668].speaker SPEAKER_36
transcript.pyannote[1668].start 10297.45971875
transcript.pyannote[1668].end 10301.67846875
transcript.pyannote[1669].speaker SPEAKER_03
transcript.pyannote[1669].start 10303.06221875
transcript.pyannote[1669].end 10351.20659375
transcript.pyannote[1670].speaker SPEAKER_36
transcript.pyannote[1670].start 10351.20659375
transcript.pyannote[1670].end 10351.22346875
transcript.pyannote[1671].speaker SPEAKER_44
transcript.pyannote[1671].start 10351.22346875
transcript.pyannote[1671].end 10351.44284375
transcript.pyannote[1672].speaker SPEAKER_03
transcript.pyannote[1672].start 10351.40909375
transcript.pyannote[1672].end 10351.96596875
transcript.pyannote[1673].speaker SPEAKER_36
transcript.pyannote[1673].start 10351.44284375
transcript.pyannote[1673].end 10351.51034375
transcript.pyannote[1674].speaker SPEAKER_36
transcript.pyannote[1674].start 10351.96596875
transcript.pyannote[1674].end 10356.35346875
transcript.pyannote[1675].speaker SPEAKER_35
transcript.pyannote[1675].start 10356.35346875
transcript.pyannote[1675].end 10356.94409375
transcript.pyannote[1676].speaker SPEAKER_04
transcript.pyannote[1676].start 10359.40784375
transcript.pyannote[1676].end 10365.17909375
transcript.pyannote[1677].speaker SPEAKER_05
transcript.pyannote[1677].start 10377.39659375
transcript.pyannote[1677].end 10378.67909375
transcript.pyannote[1678].speaker SPEAKER_04
transcript.pyannote[1678].start 10377.59909375
transcript.pyannote[1678].end 10377.75096875
transcript.pyannote[1679].speaker SPEAKER_38
transcript.pyannote[1679].start 10382.72909375
transcript.pyannote[1679].end 10385.76659375
transcript.pyannote[1680].speaker SPEAKER_38
transcript.pyannote[1680].start 10386.01971875
transcript.pyannote[1680].end 10386.57659375
transcript.pyannote[1681].speaker SPEAKER_38
transcript.pyannote[1681].start 10387.72409375
transcript.pyannote[1681].end 10387.89284375
transcript.pyannote[1682].speaker SPEAKER_38
transcript.pyannote[1682].start 10389.64784375
transcript.pyannote[1682].end 10393.63034375
transcript.pyannote[1683].speaker SPEAKER_44
transcript.pyannote[1683].start 10390.81221875
transcript.pyannote[1683].end 10391.31846875
transcript.pyannote[1684].speaker SPEAKER_44
transcript.pyannote[1684].start 10393.91721875
transcript.pyannote[1684].end 10394.25471875
transcript.pyannote[1685].speaker SPEAKER_38
transcript.pyannote[1685].start 10395.09846875
transcript.pyannote[1685].end 10395.28409375
transcript.pyannote[1686].speaker SPEAKER_44
transcript.pyannote[1686].start 10395.28409375
transcript.pyannote[1686].end 10395.30096875
transcript.pyannote[1687].speaker SPEAKER_38
transcript.pyannote[1687].start 10399.51971875
transcript.pyannote[1687].end 10400.27909375
transcript.pyannote[1688].speaker SPEAKER_38
transcript.pyannote[1688].start 10400.81909375
transcript.pyannote[1688].end 10411.31534375
transcript.pyannote[1689].speaker SPEAKER_38
transcript.pyannote[1689].start 10411.75409375
transcript.pyannote[1689].end 10413.08721875
transcript.pyannote[1690].speaker SPEAKER_38
transcript.pyannote[1690].start 10413.47534375
transcript.pyannote[1690].end 10452.91221875
transcript.pyannote[1691].speaker SPEAKER_06
transcript.pyannote[1691].start 10453.48596875
transcript.pyannote[1691].end 10458.21096875
transcript.pyannote[1692].speaker SPEAKER_06
transcript.pyannote[1692].start 10458.75096875
transcript.pyannote[1692].end 10474.76534375
transcript.pyannote[1693].speaker SPEAKER_06
transcript.pyannote[1693].start 10475.13659375
transcript.pyannote[1693].end 10482.20721875
transcript.pyannote[1694].speaker SPEAKER_06
transcript.pyannote[1694].start 10482.66284375
transcript.pyannote[1694].end 10486.47659375
transcript.pyannote[1695].speaker SPEAKER_06
transcript.pyannote[1695].start 10486.78034375
transcript.pyannote[1695].end 10499.09909375
transcript.pyannote[1696].speaker SPEAKER_06
transcript.pyannote[1696].start 10499.41971875
transcript.pyannote[1696].end 10504.48221875
transcript.pyannote[1697].speaker SPEAKER_00
transcript.pyannote[1697].start 10503.53721875
transcript.pyannote[1697].end 10504.11096875
transcript.pyannote[1698].speaker SPEAKER_06
transcript.pyannote[1698].start 10504.85346875
transcript.pyannote[1698].end 10511.82284375
transcript.pyannote[1699].speaker SPEAKER_06
transcript.pyannote[1699].start 10512.27846875
transcript.pyannote[1699].end 10518.38721875
transcript.pyannote[1700].speaker SPEAKER_38
transcript.pyannote[1700].start 10518.53909375
transcript.pyannote[1700].end 10525.55909375
transcript.pyannote[1701].speaker SPEAKER_06
transcript.pyannote[1701].start 10526.40284375
transcript.pyannote[1701].end 10529.60909375
transcript.pyannote[1702].speaker SPEAKER_38
transcript.pyannote[1702].start 10528.61346875
transcript.pyannote[1702].end 10533.03471875
transcript.pyannote[1703].speaker SPEAKER_06
transcript.pyannote[1703].start 10533.52409375
transcript.pyannote[1703].end 10534.84034375
transcript.pyannote[1704].speaker SPEAKER_38
transcript.pyannote[1704].start 10534.78971875
transcript.pyannote[1704].end 10536.05534375
transcript.pyannote[1705].speaker SPEAKER_06
transcript.pyannote[1705].start 10535.70096875
transcript.pyannote[1705].end 10535.81909375
transcript.pyannote[1706].speaker SPEAKER_06
transcript.pyannote[1706].start 10536.02159375
transcript.pyannote[1706].end 10544.94846875
transcript.pyannote[1707].speaker SPEAKER_38
transcript.pyannote[1707].start 10544.94846875
transcript.pyannote[1707].end 10568.52284375
transcript.pyannote[1708].speaker SPEAKER_06
transcript.pyannote[1708].start 10569.11346875
transcript.pyannote[1708].end 10572.40409375
transcript.pyannote[1709].speaker SPEAKER_38
transcript.pyannote[1709].start 10572.21846875
transcript.pyannote[1709].end 10573.65284375
transcript.pyannote[1710].speaker SPEAKER_06
transcript.pyannote[1710].start 10574.15909375
transcript.pyannote[1710].end 10579.18784375
transcript.pyannote[1711].speaker SPEAKER_06
transcript.pyannote[1711].start 10579.55909375
transcript.pyannote[1711].end 10582.95096875
transcript.pyannote[1712].speaker SPEAKER_38
transcript.pyannote[1712].start 10580.97659375
transcript.pyannote[1712].end 10583.91284375
transcript.pyannote[1713].speaker SPEAKER_06
transcript.pyannote[1713].start 10584.53721875
transcript.pyannote[1713].end 10585.73534375
transcript.pyannote[1714].speaker SPEAKER_25
transcript.pyannote[1714].start 10586.83221875
transcript.pyannote[1714].end 10587.13596875
transcript.pyannote[1715].speaker SPEAKER_06
transcript.pyannote[1715].start 10587.13596875
transcript.pyannote[1715].end 10587.27096875
transcript.pyannote[1716].speaker SPEAKER_23
transcript.pyannote[1716].start 10587.27096875
transcript.pyannote[1716].end 10587.28784375
transcript.pyannote[1717].speaker SPEAKER_06
transcript.pyannote[1717].start 10588.28346875
transcript.pyannote[1717].end 10592.99159375
transcript.pyannote[1718].speaker SPEAKER_38
transcript.pyannote[1718].start 10592.99159375
transcript.pyannote[1718].end 10593.83534375
transcript.pyannote[1719].speaker SPEAKER_23
transcript.pyannote[1719].start 10594.34159375
transcript.pyannote[1719].end 10602.17159375
transcript.pyannote[1720].speaker SPEAKER_06
transcript.pyannote[1720].start 10594.61159375
transcript.pyannote[1720].end 10594.88159375
transcript.pyannote[1721].speaker SPEAKER_38
transcript.pyannote[1721].start 10601.90159375
transcript.pyannote[1721].end 10625.15534375
transcript.pyannote[1722].speaker SPEAKER_23
transcript.pyannote[1722].start 10605.58034375
transcript.pyannote[1722].end 10605.76596875
transcript.pyannote[1723].speaker SPEAKER_38
transcript.pyannote[1723].start 10625.66159375
transcript.pyannote[1723].end 10629.77909375
transcript.pyannote[1724].speaker SPEAKER_06
transcript.pyannote[1724].start 10630.79159375
transcript.pyannote[1724].end 10635.19596875
transcript.pyannote[1725].speaker SPEAKER_38
transcript.pyannote[1725].start 10634.68971875
transcript.pyannote[1725].end 10636.20846875
transcript.pyannote[1726].speaker SPEAKER_06
transcript.pyannote[1726].start 10636.39409375
transcript.pyannote[1726].end 10642.11471875
transcript.pyannote[1727].speaker SPEAKER_38
transcript.pyannote[1727].start 10642.11471875
transcript.pyannote[1727].end 10667.27534375
transcript.pyannote[1728].speaker SPEAKER_38
transcript.pyannote[1728].start 10667.56221875
transcript.pyannote[1728].end 10670.68409375
transcript.pyannote[1729].speaker SPEAKER_06
transcript.pyannote[1729].start 10671.39284375
transcript.pyannote[1729].end 10673.40096875
transcript.pyannote[1730].speaker SPEAKER_06
transcript.pyannote[1730].start 10673.46846875
transcript.pyannote[1730].end 10681.60221875
transcript.pyannote[1731].speaker SPEAKER_38
transcript.pyannote[1731].start 10681.41659375
transcript.pyannote[1731].end 10686.39471875
transcript.pyannote[1732].speaker SPEAKER_06
transcript.pyannote[1732].start 10686.44534375
transcript.pyannote[1732].end 10687.79534375
transcript.pyannote[1733].speaker SPEAKER_38
transcript.pyannote[1733].start 10687.06971875
transcript.pyannote[1733].end 10699.52346875
transcript.pyannote[1734].speaker SPEAKER_06
transcript.pyannote[1734].start 10699.59096875
transcript.pyannote[1734].end 10708.55159375
transcript.pyannote[1735].speaker SPEAKER_06
transcript.pyannote[1735].start 10709.22659375
transcript.pyannote[1735].end 10719.23346875
transcript.pyannote[1736].speaker SPEAKER_06
transcript.pyannote[1736].start 10719.50346875
transcript.pyannote[1736].end 10725.17346875
transcript.pyannote[1737].speaker SPEAKER_38
transcript.pyannote[1737].start 10724.66721875
transcript.pyannote[1737].end 10728.14346875
transcript.pyannote[1738].speaker SPEAKER_06
transcript.pyannote[1738].start 10727.60346875
transcript.pyannote[1738].end 10732.21034375
transcript.pyannote[1739].speaker SPEAKER_38
transcript.pyannote[1739].start 10731.85596875
transcript.pyannote[1739].end 10732.69971875
transcript.pyannote[1740].speaker SPEAKER_06
transcript.pyannote[1740].start 10734.10034375
transcript.pyannote[1740].end 10734.65721875
transcript.pyannote[1741].speaker SPEAKER_06
transcript.pyannote[1741].start 10736.96909375
transcript.pyannote[1741].end 10736.98596875
transcript.pyannote[1742].speaker SPEAKER_06
transcript.pyannote[1742].start 10739.11221875
transcript.pyannote[1742].end 10742.21721875
transcript.pyannote[1743].speaker SPEAKER_38
transcript.pyannote[1743].start 10743.09471875
transcript.pyannote[1743].end 10744.44471875
transcript.pyannote[1744].speaker SPEAKER_06
transcript.pyannote[1744].start 10744.64721875
transcript.pyannote[1744].end 10747.88721875
transcript.pyannote[1745].speaker SPEAKER_38
transcript.pyannote[1745].start 10748.02221875
transcript.pyannote[1745].end 10749.64221875
transcript.pyannote[1746].speaker SPEAKER_38
transcript.pyannote[1746].start 10752.19034375
transcript.pyannote[1746].end 10752.73034375
transcript.pyannote[1747].speaker SPEAKER_06
transcript.pyannote[1747].start 10753.27034375
transcript.pyannote[1747].end 10753.45596875
transcript.pyannote[1748].speaker SPEAKER_38
transcript.pyannote[1748].start 10753.69221875
transcript.pyannote[1748].end 10755.36284375
transcript.pyannote[1749].speaker SPEAKER_06
transcript.pyannote[1749].start 10755.97034375
transcript.pyannote[1749].end 10757.70846875
transcript.pyannote[1750].speaker SPEAKER_38
transcript.pyannote[1750].start 10758.14721875
transcript.pyannote[1750].end 10761.21846875
transcript.pyannote[1751].speaker SPEAKER_06
transcript.pyannote[1751].start 10762.61909375
transcript.pyannote[1751].end 10766.97284375
transcript.pyannote[1752].speaker SPEAKER_38
transcript.pyannote[1752].start 10765.16721875
transcript.pyannote[1752].end 10840.04159375
transcript.pyannote[1753].speaker SPEAKER_06
transcript.pyannote[1753].start 10768.35659375
transcript.pyannote[1753].end 10768.37346875
transcript.pyannote[1754].speaker SPEAKER_06
transcript.pyannote[1754].start 10840.04159375
transcript.pyannote[1754].end 10845.91409375
transcript.pyannote[1755].speaker SPEAKER_06
transcript.pyannote[1755].start 10846.36971875
transcript.pyannote[1755].end 10883.64659375
transcript.pyannote[1756].speaker SPEAKER_38
transcript.pyannote[1756].start 10883.79846875
transcript.pyannote[1756].end 10920.24846875
transcript.pyannote[1757].speaker SPEAKER_06
transcript.pyannote[1757].start 10920.67034375
transcript.pyannote[1757].end 10924.90596875
transcript.pyannote[1758].speaker SPEAKER_38
transcript.pyannote[1758].start 10924.83846875
transcript.pyannote[1758].end 10927.23471875
transcript.pyannote[1759].speaker SPEAKER_06
transcript.pyannote[1759].start 10925.02409375
transcript.pyannote[1759].end 10925.41221875
transcript.pyannote[1760].speaker SPEAKER_06
transcript.pyannote[1760].start 10925.80034375
transcript.pyannote[1760].end 10928.07846875
transcript.pyannote[1761].speaker SPEAKER_06
transcript.pyannote[1761].start 10928.41596875
transcript.pyannote[1761].end 10930.81221875
transcript.pyannote[1762].speaker SPEAKER_06
transcript.pyannote[1762].start 10931.01471875
transcript.pyannote[1762].end 10931.67284375
transcript.pyannote[1763].speaker SPEAKER_38
transcript.pyannote[1763].start 10931.67284375
transcript.pyannote[1763].end 10932.19596875
transcript.pyannote[1764].speaker SPEAKER_06
transcript.pyannote[1764].start 10931.74034375
transcript.pyannote[1764].end 10932.65159375
transcript.pyannote[1765].speaker SPEAKER_38
transcript.pyannote[1765].start 10932.65159375
transcript.pyannote[1765].end 10959.75284375
transcript.pyannote[1766].speaker SPEAKER_06
transcript.pyannote[1766].start 10959.75284375
transcript.pyannote[1766].end 10980.84659375
transcript.pyannote[1767].speaker SPEAKER_38
transcript.pyannote[1767].start 10973.48909375
transcript.pyannote[1767].end 10975.88534375
transcript.pyannote[1768].speaker SPEAKER_38
transcript.pyannote[1768].start 10981.53846875
transcript.pyannote[1768].end 10992.10221875
transcript.pyannote[1769].speaker SPEAKER_06
transcript.pyannote[1769].start 10992.22034375
transcript.pyannote[1769].end 10995.91596875
transcript.pyannote[1770].speaker SPEAKER_38
transcript.pyannote[1770].start 10995.91596875
transcript.pyannote[1770].end 10998.81846875
transcript.pyannote[1771].speaker SPEAKER_06
transcript.pyannote[1771].start 10998.59909375
transcript.pyannote[1771].end 10998.73409375
transcript.pyannote[1772].speaker SPEAKER_04
transcript.pyannote[1772].start 10998.81846875
transcript.pyannote[1772].end 10998.83534375
transcript.pyannote[1773].speaker SPEAKER_06
transcript.pyannote[1773].start 10998.83534375
transcript.pyannote[1773].end 10999.05471875
transcript.pyannote[1774].speaker SPEAKER_04
transcript.pyannote[1774].start 10999.05471875
transcript.pyannote[1774].end 10999.20659375
transcript.pyannote[1775].speaker SPEAKER_06
transcript.pyannote[1775].start 10999.20659375
transcript.pyannote[1775].end 10999.40909375
transcript.pyannote[1776].speaker SPEAKER_04
transcript.pyannote[1776].start 11001.45096875
transcript.pyannote[1776].end 11007.35721875
transcript.pyannote[1777].speaker SPEAKER_08
transcript.pyannote[1777].start 11013.80346875
transcript.pyannote[1777].end 11015.35596875
transcript.pyannote[1778].speaker SPEAKER_04
transcript.pyannote[1778].start 11015.62596875
transcript.pyannote[1778].end 11016.55409375
transcript.pyannote[1779].speaker SPEAKER_08
transcript.pyannote[1779].start 11016.55409375
transcript.pyannote[1779].end 11016.57096875
transcript.pyannote[1780].speaker SPEAKER_08
transcript.pyannote[1780].start 11021.32971875
transcript.pyannote[1780].end 11029.02471875
transcript.pyannote[1781].speaker SPEAKER_06
transcript.pyannote[1781].start 11029.02471875
transcript.pyannote[1781].end 11030.30721875
transcript.pyannote[1782].speaker SPEAKER_06
transcript.pyannote[1782].start 11031.01596875
transcript.pyannote[1782].end 11037.81659375
transcript.pyannote[1783].speaker SPEAKER_08
transcript.pyannote[1783].start 11037.81659375
transcript.pyannote[1783].end 11060.02409375
transcript.pyannote[1784].speaker SPEAKER_06
transcript.pyannote[1784].start 11040.98909375
transcript.pyannote[1784].end 11041.32659375
transcript.pyannote[1785].speaker SPEAKER_06
transcript.pyannote[1785].start 11042.23784375
transcript.pyannote[1785].end 11042.54159375
transcript.pyannote[1786].speaker SPEAKER_06
transcript.pyannote[1786].start 11060.02409375
transcript.pyannote[1786].end 11068.93409375
transcript.pyannote[1787].speaker SPEAKER_06
transcript.pyannote[1787].start 11069.32221875
transcript.pyannote[1787].end 11075.12721875
transcript.pyannote[1788].speaker SPEAKER_08
transcript.pyannote[1788].start 11074.53659375
transcript.pyannote[1788].end 11075.16096875
transcript.pyannote[1789].speaker SPEAKER_06
transcript.pyannote[1789].start 11075.16096875
transcript.pyannote[1789].end 11075.97096875
transcript.pyannote[1790].speaker SPEAKER_08
transcript.pyannote[1790].start 11075.97096875
transcript.pyannote[1790].end 11173.28909375
transcript.pyannote[1791].speaker SPEAKER_06
transcript.pyannote[1791].start 11076.76409375
transcript.pyannote[1791].end 11076.91596875
transcript.pyannote[1792].speaker SPEAKER_12
transcript.pyannote[1792].start 11144.93909375
transcript.pyannote[1792].end 11145.34409375
transcript.pyannote[1793].speaker SPEAKER_00
transcript.pyannote[1793].start 11164.75034375
transcript.pyannote[1793].end 11164.80096875
transcript.pyannote[1794].speaker SPEAKER_06
transcript.pyannote[1794].start 11173.28909375
transcript.pyannote[1794].end 11180.64659375
transcript.pyannote[1795].speaker SPEAKER_06
transcript.pyannote[1795].start 11180.96721875
transcript.pyannote[1795].end 11182.11471875
transcript.pyannote[1796].speaker SPEAKER_06
transcript.pyannote[1796].start 11182.36784375
transcript.pyannote[1796].end 11190.23159375
transcript.pyannote[1797].speaker SPEAKER_44
transcript.pyannote[1797].start 11187.81846875
transcript.pyannote[1797].end 11187.86909375
transcript.pyannote[1798].speaker SPEAKER_06
transcript.pyannote[1798].start 11190.41721875
transcript.pyannote[1798].end 11193.62346875
transcript.pyannote[1799].speaker SPEAKER_06
transcript.pyannote[1799].start 11193.80909375
transcript.pyannote[1799].end 11196.59346875
transcript.pyannote[1800].speaker SPEAKER_06
transcript.pyannote[1800].start 11196.94784375
transcript.pyannote[1800].end 11198.82096875
transcript.pyannote[1801].speaker SPEAKER_06
transcript.pyannote[1801].start 11199.44534375
transcript.pyannote[1801].end 11200.82909375
transcript.pyannote[1802].speaker SPEAKER_06
transcript.pyannote[1802].start 11200.91346875
transcript.pyannote[1802].end 11228.09909375
transcript.pyannote[1803].speaker SPEAKER_08
transcript.pyannote[1803].start 11227.03596875
transcript.pyannote[1803].end 11236.26659375
transcript.pyannote[1804].speaker SPEAKER_08
transcript.pyannote[1804].start 11236.30034375
transcript.pyannote[1804].end 11236.31721875
transcript.pyannote[1805].speaker SPEAKER_06
transcript.pyannote[1805].start 11236.31721875
transcript.pyannote[1805].end 11244.36659375
transcript.pyannote[1806].speaker SPEAKER_08
transcript.pyannote[1806].start 11242.64534375
transcript.pyannote[1806].end 11278.53846875
transcript.pyannote[1807].speaker SPEAKER_06
transcript.pyannote[1807].start 11245.81784375
transcript.pyannote[1807].end 11246.64471875
transcript.pyannote[1808].speaker SPEAKER_06
transcript.pyannote[1808].start 11278.53846875
transcript.pyannote[1808].end 11280.15846875
transcript.pyannote[1809].speaker SPEAKER_24
transcript.pyannote[1809].start 11280.86721875
transcript.pyannote[1809].end 11294.53596875
transcript.pyannote[1810].speaker SPEAKER_08
transcript.pyannote[1810].start 11285.92971875
transcript.pyannote[1810].end 11286.30096875
transcript.pyannote[1811].speaker SPEAKER_08
transcript.pyannote[1811].start 11290.65471875
transcript.pyannote[1811].end 11292.76409375
transcript.pyannote[1812].speaker SPEAKER_08
transcript.pyannote[1812].start 11294.60346875
transcript.pyannote[1812].end 11349.17721875
transcript.pyannote[1813].speaker SPEAKER_06
transcript.pyannote[1813].start 11349.17721875
transcript.pyannote[1813].end 11349.21096875
transcript.pyannote[1814].speaker SPEAKER_08
transcript.pyannote[1814].start 11349.21096875
transcript.pyannote[1814].end 11349.22784375
transcript.pyannote[1815].speaker SPEAKER_06
transcript.pyannote[1815].start 11349.75096875
transcript.pyannote[1815].end 11363.90909375
transcript.pyannote[1816].speaker SPEAKER_08
transcript.pyannote[1816].start 11363.90909375
transcript.pyannote[1816].end 11364.66846875
transcript.pyannote[1817].speaker SPEAKER_24
transcript.pyannote[1817].start 11364.11159375
transcript.pyannote[1817].end 11364.75284375
transcript.pyannote[1818].speaker SPEAKER_08
transcript.pyannote[1818].start 11364.75284375
transcript.pyannote[1818].end 11364.80346875
transcript.pyannote[1819].speaker SPEAKER_24
transcript.pyannote[1819].start 11364.80346875
transcript.pyannote[1819].end 11364.88784375
transcript.pyannote[1820].speaker SPEAKER_24
transcript.pyannote[1820].start 11364.97221875
transcript.pyannote[1820].end 11365.86659375
transcript.pyannote[1821].speaker SPEAKER_24
transcript.pyannote[1821].start 11366.18721875
transcript.pyannote[1821].end 11379.19784375
transcript.pyannote[1822].speaker SPEAKER_06
transcript.pyannote[1822].start 11366.71034375
transcript.pyannote[1822].end 11366.91284375
transcript.pyannote[1823].speaker SPEAKER_08
transcript.pyannote[1823].start 11370.06846875
transcript.pyannote[1823].end 11371.55346875
transcript.pyannote[1824].speaker SPEAKER_08
transcript.pyannote[1824].start 11372.32971875
transcript.pyannote[1824].end 11372.46471875
transcript.pyannote[1825].speaker SPEAKER_06
transcript.pyannote[1825].start 11372.46471875
transcript.pyannote[1825].end 11372.51534375
transcript.pyannote[1826].speaker SPEAKER_08
transcript.pyannote[1826].start 11372.51534375
transcript.pyannote[1826].end 11372.65034375
transcript.pyannote[1827].speaker SPEAKER_06
transcript.pyannote[1827].start 11372.65034375
transcript.pyannote[1827].end 11372.68409375
transcript.pyannote[1828].speaker SPEAKER_08
transcript.pyannote[1828].start 11372.68409375
transcript.pyannote[1828].end 11372.83596875
transcript.pyannote[1829].speaker SPEAKER_06
transcript.pyannote[1829].start 11372.83596875
transcript.pyannote[1829].end 11373.40971875
transcript.pyannote[1830].speaker SPEAKER_08
transcript.pyannote[1830].start 11373.40971875
transcript.pyannote[1830].end 11374.16909375
transcript.pyannote[1831].speaker SPEAKER_44
transcript.pyannote[1831].start 11374.16909375
transcript.pyannote[1831].end 11374.18596875
transcript.pyannote[1832].speaker SPEAKER_08
transcript.pyannote[1832].start 11377.79721875
transcript.pyannote[1832].end 11420.60909375
transcript.pyannote[1833].speaker SPEAKER_06
transcript.pyannote[1833].start 11420.64284375
transcript.pyannote[1833].end 11422.34721875
transcript.pyannote[1834].speaker SPEAKER_08
transcript.pyannote[1834].start 11421.85784375
transcript.pyannote[1834].end 11422.09409375
transcript.pyannote[1835].speaker SPEAKER_08
transcript.pyannote[1835].start 11422.51596875
transcript.pyannote[1835].end 11423.25846875
transcript.pyannote[1836].speaker SPEAKER_04
transcript.pyannote[1836].start 11423.25846875
transcript.pyannote[1836].end 11423.27534375
transcript.pyannote[1837].speaker SPEAKER_04
transcript.pyannote[1837].start 11424.55784375
transcript.pyannote[1837].end 11425.03034375
transcript.pyannote[1838].speaker SPEAKER_04
transcript.pyannote[1838].start 11425.19909375
transcript.pyannote[1838].end 11430.70034375
transcript.pyannote[1839].speaker SPEAKER_04
transcript.pyannote[1839].start 11431.05471875
transcript.pyannote[1839].end 11435.66159375
transcript.pyannote[1840].speaker SPEAKER_04
transcript.pyannote[1840].start 11435.83034375
transcript.pyannote[1840].end 11458.22346875
transcript.pyannote[1841].speaker SPEAKER_04
transcript.pyannote[1841].start 11458.51034375
transcript.pyannote[1841].end 11461.69971875
transcript.pyannote[1842].speaker SPEAKER_10
transcript.pyannote[1842].start 11470.86284375
transcript.pyannote[1842].end 11472.04409375
transcript.pyannote[1843].speaker SPEAKER_04
transcript.pyannote[1843].start 11472.38159375
transcript.pyannote[1843].end 11473.54596875
transcript.pyannote[1844].speaker SPEAKER_10
transcript.pyannote[1844].start 11478.08534375
transcript.pyannote[1844].end 11478.77721875
transcript.pyannote[1845].speaker SPEAKER_10
transcript.pyannote[1845].start 11478.79409375
transcript.pyannote[1845].end 11481.49409375
transcript.pyannote[1846].speaker SPEAKER_00
transcript.pyannote[1846].start 11479.92471875
transcript.pyannote[1846].end 11479.95846875
transcript.pyannote[1847].speaker SPEAKER_10
transcript.pyannote[1847].start 11481.96659375
transcript.pyannote[1847].end 11487.92346875
transcript.pyannote[1848].speaker SPEAKER_00
transcript.pyannote[1848].start 11483.65409375
transcript.pyannote[1848].end 11483.92409375
transcript.pyannote[1849].speaker SPEAKER_10
transcript.pyannote[1849].start 11488.29471875
transcript.pyannote[1849].end 11493.34034375
transcript.pyannote[1850].speaker SPEAKER_10
transcript.pyannote[1850].start 11493.66096875
transcript.pyannote[1850].end 11495.34846875
transcript.pyannote[1851].speaker SPEAKER_10
transcript.pyannote[1851].start 11496.27659375
transcript.pyannote[1851].end 11498.18346875
transcript.pyannote[1852].speaker SPEAKER_10
transcript.pyannote[1852].start 11498.58846875
transcript.pyannote[1852].end 11502.06471875
transcript.pyannote[1853].speaker SPEAKER_10
transcript.pyannote[1853].start 11502.46971875
transcript.pyannote[1853].end 11505.10221875
transcript.pyannote[1854].speaker SPEAKER_10
transcript.pyannote[1854].start 11505.76034375
transcript.pyannote[1854].end 11509.11846875
transcript.pyannote[1855].speaker SPEAKER_10
transcript.pyannote[1855].start 11509.67534375
transcript.pyannote[1855].end 11509.69221875
transcript.pyannote[1856].speaker SPEAKER_06
transcript.pyannote[1856].start 11509.69221875
transcript.pyannote[1856].end 11522.68596875
transcript.pyannote[1857].speaker SPEAKER_06
transcript.pyannote[1857].start 11522.92221875
transcript.pyannote[1857].end 11526.97221875
transcript.pyannote[1858].speaker SPEAKER_10
transcript.pyannote[1858].start 11526.97221875
transcript.pyannote[1858].end 11535.39284375
transcript.pyannote[1859].speaker SPEAKER_10
transcript.pyannote[1859].start 11535.86534375
transcript.pyannote[1859].end 11537.24909375
transcript.pyannote[1860].speaker SPEAKER_10
transcript.pyannote[1860].start 11537.50221875
transcript.pyannote[1860].end 11539.93221875
transcript.pyannote[1861].speaker SPEAKER_10
transcript.pyannote[1861].start 11540.21909375
transcript.pyannote[1861].end 11541.13034375
transcript.pyannote[1862].speaker SPEAKER_10
transcript.pyannote[1862].start 11541.70409375
transcript.pyannote[1862].end 11546.42909375
transcript.pyannote[1863].speaker SPEAKER_10
transcript.pyannote[1863].start 11547.50909375
transcript.pyannote[1863].end 11548.03221875
transcript.pyannote[1864].speaker SPEAKER_10
transcript.pyannote[1864].start 11548.65659375
transcript.pyannote[1864].end 11549.31471875
transcript.pyannote[1865].speaker SPEAKER_10
transcript.pyannote[1865].start 11549.68596875
transcript.pyannote[1865].end 11551.69409375
transcript.pyannote[1866].speaker SPEAKER_06
transcript.pyannote[1866].start 11552.50409375
transcript.pyannote[1866].end 11554.24221875
transcript.pyannote[1867].speaker SPEAKER_06
transcript.pyannote[1867].start 11554.61346875
transcript.pyannote[1867].end 11560.89096875
transcript.pyannote[1868].speaker SPEAKER_06
transcript.pyannote[1868].start 11561.31284375
transcript.pyannote[1868].end 11567.15159375
transcript.pyannote[1869].speaker SPEAKER_06
transcript.pyannote[1869].start 11567.57346875
transcript.pyannote[1869].end 11582.69346875
transcript.pyannote[1870].speaker SPEAKER_06
transcript.pyannote[1870].start 11582.94659375
transcript.pyannote[1870].end 11587.38471875
transcript.pyannote[1871].speaker SPEAKER_10
transcript.pyannote[1871].start 11588.11034375
transcript.pyannote[1871].end 11591.68784375
transcript.pyannote[1872].speaker SPEAKER_06
transcript.pyannote[1872].start 11593.00409375
transcript.pyannote[1872].end 11593.02096875
transcript.pyannote[1873].speaker SPEAKER_10
transcript.pyannote[1873].start 11593.02096875
transcript.pyannote[1873].end 11596.07534375
transcript.pyannote[1874].speaker SPEAKER_06
transcript.pyannote[1874].start 11594.38784375
transcript.pyannote[1874].end 11599.93971875
transcript.pyannote[1875].speaker SPEAKER_06
transcript.pyannote[1875].start 11600.27721875
transcript.pyannote[1875].end 11609.03534375
transcript.pyannote[1876].speaker SPEAKER_06
transcript.pyannote[1876].start 11609.38971875
transcript.pyannote[1876].end 11614.31721875
transcript.pyannote[1877].speaker SPEAKER_06
transcript.pyannote[1877].start 11614.75596875
transcript.pyannote[1877].end 11618.94096875
transcript.pyannote[1878].speaker SPEAKER_06
transcript.pyannote[1878].start 11619.49784375
transcript.pyannote[1878].end 11625.69096875
transcript.pyannote[1879].speaker SPEAKER_10
transcript.pyannote[1879].start 11623.80096875
transcript.pyannote[1879].end 11623.98659375
transcript.pyannote[1880].speaker SPEAKER_10
transcript.pyannote[1880].start 11625.69096875
transcript.pyannote[1880].end 11625.70784375
transcript.pyannote[1881].speaker SPEAKER_06
transcript.pyannote[1881].start 11625.70784375
transcript.pyannote[1881].end 11625.74159375
transcript.pyannote[1882].speaker SPEAKER_10
transcript.pyannote[1882].start 11625.74159375
transcript.pyannote[1882].end 11625.80909375
transcript.pyannote[1883].speaker SPEAKER_06
transcript.pyannote[1883].start 11625.80909375
transcript.pyannote[1883].end 11625.82596875
transcript.pyannote[1884].speaker SPEAKER_10
transcript.pyannote[1884].start 11625.82596875
transcript.pyannote[1884].end 11625.92721875
transcript.pyannote[1885].speaker SPEAKER_06
transcript.pyannote[1885].start 11625.92721875
transcript.pyannote[1885].end 11625.97784375
transcript.pyannote[1886].speaker SPEAKER_10
transcript.pyannote[1886].start 11625.97784375
transcript.pyannote[1886].end 11626.39971875
transcript.pyannote[1887].speaker SPEAKER_06
transcript.pyannote[1887].start 11626.39971875
transcript.pyannote[1887].end 11626.45034375
transcript.pyannote[1888].speaker SPEAKER_10
transcript.pyannote[1888].start 11626.45034375
transcript.pyannote[1888].end 11627.44596875
transcript.pyannote[1889].speaker SPEAKER_10
transcript.pyannote[1889].start 11627.78346875
transcript.pyannote[1889].end 11632.06971875
transcript.pyannote[1890].speaker SPEAKER_10
transcript.pyannote[1890].start 11632.49159375
transcript.pyannote[1890].end 11639.41034375
transcript.pyannote[1891].speaker SPEAKER_10
transcript.pyannote[1891].start 11639.98409375
transcript.pyannote[1891].end 11645.06346875
transcript.pyannote[1892].speaker SPEAKER_10
transcript.pyannote[1892].start 11646.32909375
transcript.pyannote[1892].end 11653.33221875
transcript.pyannote[1893].speaker SPEAKER_10
transcript.pyannote[1893].start 11653.77096875
transcript.pyannote[1893].end 11658.36096875
transcript.pyannote[1894].speaker SPEAKER_10
transcript.pyannote[1894].start 11658.61409375
transcript.pyannote[1894].end 11662.52909375
transcript.pyannote[1895].speaker SPEAKER_10
transcript.pyannote[1895].start 11662.76534375
transcript.pyannote[1895].end 11665.38096875
transcript.pyannote[1896].speaker SPEAKER_06
transcript.pyannote[1896].start 11665.38096875
transcript.pyannote[1896].end 11665.48221875
transcript.pyannote[1897].speaker SPEAKER_10
transcript.pyannote[1897].start 11665.48221875
transcript.pyannote[1897].end 11667.03471875
transcript.pyannote[1898].speaker SPEAKER_06
transcript.pyannote[1898].start 11667.03471875
transcript.pyannote[1898].end 11676.07971875
transcript.pyannote[1899].speaker SPEAKER_06
transcript.pyannote[1899].start 11677.19346875
transcript.pyannote[1899].end 11685.02346875
transcript.pyannote[1900].speaker SPEAKER_06
transcript.pyannote[1900].start 11685.29346875
transcript.pyannote[1900].end 11690.15346875
transcript.pyannote[1901].speaker SPEAKER_06
transcript.pyannote[1901].start 11690.54159375
transcript.pyannote[1901].end 11695.45221875
transcript.pyannote[1902].speaker SPEAKER_06
transcript.pyannote[1902].start 11695.55346875
transcript.pyannote[1902].end 11716.34346875
transcript.pyannote[1903].speaker SPEAKER_06
transcript.pyannote[1903].start 11716.71471875
transcript.pyannote[1903].end 11729.48909375
transcript.pyannote[1904].speaker SPEAKER_06
transcript.pyannote[1904].start 11729.59034375
transcript.pyannote[1904].end 11732.77971875
transcript.pyannote[1905].speaker SPEAKER_06
transcript.pyannote[1905].start 11733.08346875
transcript.pyannote[1905].end 11738.23034375
transcript.pyannote[1906].speaker SPEAKER_06
transcript.pyannote[1906].start 11738.53409375
transcript.pyannote[1906].end 11741.45346875
transcript.pyannote[1907].speaker SPEAKER_10
transcript.pyannote[1907].start 11741.45346875
transcript.pyannote[1907].end 11741.48721875
transcript.pyannote[1908].speaker SPEAKER_06
transcript.pyannote[1908].start 11741.77409375
transcript.pyannote[1908].end 11742.22971875
transcript.pyannote[1909].speaker SPEAKER_10
transcript.pyannote[1909].start 11742.22971875
transcript.pyannote[1909].end 11742.34784375
transcript.pyannote[1910].speaker SPEAKER_06
transcript.pyannote[1910].start 11742.34784375
transcript.pyannote[1910].end 11742.53346875
transcript.pyannote[1911].speaker SPEAKER_10
transcript.pyannote[1911].start 11742.53346875
transcript.pyannote[1911].end 11751.19034375
transcript.pyannote[1912].speaker SPEAKER_10
transcript.pyannote[1912].start 11751.59534375
transcript.pyannote[1912].end 11764.03221875
transcript.pyannote[1913].speaker SPEAKER_06
transcript.pyannote[1913].start 11764.03221875
transcript.pyannote[1913].end 11764.45409375
transcript.pyannote[1914].speaker SPEAKER_06
transcript.pyannote[1914].start 11764.60596875
transcript.pyannote[1914].end 11768.57159375
transcript.pyannote[1915].speaker SPEAKER_06
transcript.pyannote[1915].start 11768.94284375
transcript.pyannote[1915].end 11773.04346875
transcript.pyannote[1916].speaker SPEAKER_06
transcript.pyannote[1916].start 11773.31346875
transcript.pyannote[1916].end 11777.54909375
transcript.pyannote[1917].speaker SPEAKER_06
transcript.pyannote[1917].start 11777.92034375
transcript.pyannote[1917].end 11778.17346875
transcript.pyannote[1918].speaker SPEAKER_06
transcript.pyannote[1918].start 11778.34221875
transcript.pyannote[1918].end 11785.58159375
transcript.pyannote[1919].speaker SPEAKER_06
transcript.pyannote[1919].start 11786.29034375
transcript.pyannote[1919].end 11789.09159375
transcript.pyannote[1920].speaker SPEAKER_06
transcript.pyannote[1920].start 11789.76659375
transcript.pyannote[1920].end 11790.23909375
transcript.pyannote[1921].speaker SPEAKER_06
transcript.pyannote[1921].start 11791.06596875
transcript.pyannote[1921].end 11792.48346875
transcript.pyannote[1922].speaker SPEAKER_10
transcript.pyannote[1922].start 11791.31909375
transcript.pyannote[1922].end 11792.26409375
transcript.pyannote[1923].speaker SPEAKER_10
transcript.pyannote[1923].start 11793.19221875
transcript.pyannote[1923].end 11800.97159375
transcript.pyannote[1924].speaker SPEAKER_10
transcript.pyannote[1924].start 11801.32596875
transcript.pyannote[1924].end 11805.05534375
transcript.pyannote[1925].speaker SPEAKER_10
transcript.pyannote[1925].start 11805.30846875
transcript.pyannote[1925].end 11806.67534375
transcript.pyannote[1926].speaker SPEAKER_10
transcript.pyannote[1926].start 11806.99596875
transcript.pyannote[1926].end 11811.53534375
transcript.pyannote[1927].speaker SPEAKER_10
transcript.pyannote[1927].start 11811.82221875
transcript.pyannote[1927].end 11812.37909375
transcript.pyannote[1928].speaker SPEAKER_10
transcript.pyannote[1928].start 11812.75034375
transcript.pyannote[1928].end 11813.61096875
transcript.pyannote[1929].speaker SPEAKER_10
transcript.pyannote[1929].start 11813.94846875
transcript.pyannote[1929].end 11815.72034375
transcript.pyannote[1930].speaker SPEAKER_06
transcript.pyannote[1930].start 11816.56409375
transcript.pyannote[1930].end 11817.72846875
transcript.pyannote[1931].speaker SPEAKER_06
transcript.pyannote[1931].start 11818.36971875
transcript.pyannote[1931].end 11830.41846875
transcript.pyannote[1932].speaker SPEAKER_06
transcript.pyannote[1932].start 11830.85721875
transcript.pyannote[1932].end 11840.00346875
transcript.pyannote[1933].speaker SPEAKER_06
transcript.pyannote[1933].start 11840.39159375
transcript.pyannote[1933].end 11849.94284375
transcript.pyannote[1934].speaker SPEAKER_10
transcript.pyannote[1934].start 11842.09596875
transcript.pyannote[1934].end 11842.92284375
transcript.pyannote[1935].speaker SPEAKER_10
transcript.pyannote[1935].start 11848.50846875
transcript.pyannote[1935].end 11849.20034375
transcript.pyannote[1936].speaker SPEAKER_03
transcript.pyannote[1936].start 11849.20034375
transcript.pyannote[1936].end 11849.21721875
transcript.pyannote[1937].speaker SPEAKER_06
transcript.pyannote[1937].start 11851.15784375
transcript.pyannote[1937].end 11857.14846875
transcript.pyannote[1938].speaker SPEAKER_10
transcript.pyannote[1938].start 11854.21221875
transcript.pyannote[1938].end 11855.14034375
transcript.pyannote[1939].speaker SPEAKER_06
transcript.pyannote[1939].start 11857.65471875
transcript.pyannote[1939].end 11863.45971875
transcript.pyannote[1940].speaker SPEAKER_10
transcript.pyannote[1940].start 11859.96659375
transcript.pyannote[1940].end 11860.50659375
transcript.pyannote[1941].speaker SPEAKER_06
transcript.pyannote[1941].start 11863.56096875
transcript.pyannote[1941].end 11865.53534375
transcript.pyannote[1942].speaker SPEAKER_06
transcript.pyannote[1942].start 11866.00784375
transcript.pyannote[1942].end 11866.02471875
transcript.pyannote[1943].speaker SPEAKER_10
transcript.pyannote[1943].start 11866.02471875
transcript.pyannote[1943].end 11872.67346875
transcript.pyannote[1944].speaker SPEAKER_10
transcript.pyannote[1944].start 11872.96034375
transcript.pyannote[1944].end 11890.79721875
transcript.pyannote[1945].speaker SPEAKER_10
transcript.pyannote[1945].start 11891.26971875
transcript.pyannote[1945].end 11900.95596875
transcript.pyannote[1946].speaker SPEAKER_10
transcript.pyannote[1946].start 11901.04034375
transcript.pyannote[1946].end 11905.88346875
transcript.pyannote[1947].speaker SPEAKER_24
transcript.pyannote[1947].start 11904.76971875
transcript.pyannote[1947].end 11905.02284375
transcript.pyannote[1948].speaker SPEAKER_28
transcript.pyannote[1948].start 11905.02284375
transcript.pyannote[1948].end 11905.74846875
transcript.pyannote[1949].speaker SPEAKER_24
transcript.pyannote[1949].start 11905.74846875
transcript.pyannote[1949].end 11905.79909375
transcript.pyannote[1950].speaker SPEAKER_24
transcript.pyannote[1950].start 11905.88346875
transcript.pyannote[1950].end 11906.05221875
transcript.pyannote[1951].speaker SPEAKER_10
transcript.pyannote[1951].start 11906.05221875
transcript.pyannote[1951].end 11906.20409375
transcript.pyannote[1952].speaker SPEAKER_24
transcript.pyannote[1952].start 11906.20409375
transcript.pyannote[1952].end 11906.23784375
transcript.pyannote[1953].speaker SPEAKER_28
transcript.pyannote[1953].start 11906.49096875
transcript.pyannote[1953].end 11929.00221875
transcript.pyannote[1954].speaker SPEAKER_28
transcript.pyannote[1954].start 11929.30596875
transcript.pyannote[1954].end 11939.80221875
transcript.pyannote[1955].speaker SPEAKER_28
transcript.pyannote[1955].start 11940.05534375
transcript.pyannote[1955].end 11946.11346875
transcript.pyannote[1956].speaker SPEAKER_28
transcript.pyannote[1956].start 11946.55221875
transcript.pyannote[1956].end 11952.54284375
transcript.pyannote[1957].speaker SPEAKER_10
transcript.pyannote[1957].start 11950.82159375
transcript.pyannote[1957].end 11951.63159375
transcript.pyannote[1958].speaker SPEAKER_10
transcript.pyannote[1958].start 11952.54284375
transcript.pyannote[1958].end 11956.08659375
transcript.pyannote[1959].speaker SPEAKER_28
transcript.pyannote[1959].start 11952.96471875
transcript.pyannote[1959].end 11954.01096875
transcript.pyannote[1960].speaker SPEAKER_28
transcript.pyannote[1960].start 11956.08659375
transcript.pyannote[1960].end 11966.98784375
transcript.pyannote[1961].speaker SPEAKER_10
transcript.pyannote[1961].start 11967.13971875
transcript.pyannote[1961].end 11990.44409375
transcript.pyannote[1962].speaker SPEAKER_28
transcript.pyannote[1962].start 11970.78471875
transcript.pyannote[1962].end 11971.34159375
transcript.pyannote[1963].speaker SPEAKER_44
transcript.pyannote[1963].start 11976.75846875
transcript.pyannote[1963].end 11977.11284375
transcript.pyannote[1964].speaker SPEAKER_28
transcript.pyannote[1964].start 11988.67221875
transcript.pyannote[1964].end 11988.70596875
transcript.pyannote[1965].speaker SPEAKER_07
transcript.pyannote[1965].start 11988.70596875
transcript.pyannote[1965].end 11988.79034375
transcript.pyannote[1966].speaker SPEAKER_28
transcript.pyannote[1966].start 11988.79034375
transcript.pyannote[1966].end 11988.97596875
transcript.pyannote[1967].speaker SPEAKER_10
transcript.pyannote[1967].start 11990.64659375
transcript.pyannote[1967].end 11990.68034375
transcript.pyannote[1968].speaker SPEAKER_28
transcript.pyannote[1968].start 11990.68034375
transcript.pyannote[1968].end 12012.26346875
transcript.pyannote[1969].speaker SPEAKER_10
transcript.pyannote[1969].start 12011.04846875
transcript.pyannote[1969].end 12022.45596875
transcript.pyannote[1970].speaker SPEAKER_06
transcript.pyannote[1970].start 12023.35034375
transcript.pyannote[1970].end 12026.45534375
transcript.pyannote[1971].speaker SPEAKER_10
transcript.pyannote[1971].start 12024.68346875
transcript.pyannote[1971].end 12025.27409375
transcript.pyannote[1972].speaker SPEAKER_06
transcript.pyannote[1972].start 12026.72534375
transcript.pyannote[1972].end 12028.29471875
transcript.pyannote[1973].speaker SPEAKER_06
transcript.pyannote[1973].start 12028.53096875
transcript.pyannote[1973].end 12029.94846875
transcript.pyannote[1974].speaker SPEAKER_06
transcript.pyannote[1974].start 12030.20159375
transcript.pyannote[1974].end 12034.04909375
transcript.pyannote[1975].speaker SPEAKER_10
transcript.pyannote[1975].start 12034.04909375
transcript.pyannote[1975].end 12034.26846875
transcript.pyannote[1976].speaker SPEAKER_06
transcript.pyannote[1976].start 12034.26846875
transcript.pyannote[1976].end 12034.43721875
transcript.pyannote[1977].speaker SPEAKER_06
transcript.pyannote[1977].start 12034.94346875
transcript.pyannote[1977].end 12034.96034375
transcript.pyannote[1978].speaker SPEAKER_10
transcript.pyannote[1978].start 12034.96034375
transcript.pyannote[1978].end 12047.36346875
transcript.pyannote[1979].speaker SPEAKER_06
transcript.pyannote[1979].start 12039.17909375
transcript.pyannote[1979].end 12040.79909375
transcript.pyannote[1980].speaker SPEAKER_06
transcript.pyannote[1980].start 12040.96784375
transcript.pyannote[1980].end 12041.59221875
transcript.pyannote[1981].speaker SPEAKER_09
transcript.pyannote[1981].start 12041.59221875
transcript.pyannote[1981].end 12041.62596875
transcript.pyannote[1982].speaker SPEAKER_10
transcript.pyannote[1982].start 12047.63346875
transcript.pyannote[1982].end 12049.97909375
transcript.pyannote[1983].speaker SPEAKER_10
transcript.pyannote[1983].start 12050.46846875
transcript.pyannote[1983].end 12054.06284375
transcript.pyannote[1984].speaker SPEAKER_28
transcript.pyannote[1984].start 12054.55221875
transcript.pyannote[1984].end 12070.41471875
transcript.pyannote[1985].speaker SPEAKER_28
transcript.pyannote[1985].start 12071.07284375
transcript.pyannote[1985].end 12091.44096875
transcript.pyannote[1986].speaker SPEAKER_00
transcript.pyannote[1986].start 12081.02909375
transcript.pyannote[1986].end 12082.96971875
transcript.pyannote[1987].speaker SPEAKER_10
transcript.pyannote[1987].start 12082.96971875
transcript.pyannote[1987].end 12084.03284375
transcript.pyannote[1988].speaker SPEAKER_09
transcript.pyannote[1988].start 12084.03284375
transcript.pyannote[1988].end 12084.94409375
transcript.pyannote[1989].speaker SPEAKER_10
transcript.pyannote[1989].start 12084.94409375
transcript.pyannote[1989].end 12084.96096875
transcript.pyannote[1990].speaker SPEAKER_10
transcript.pyannote[1990].start 12087.42471875
transcript.pyannote[1990].end 12087.49221875
transcript.pyannote[1991].speaker SPEAKER_09
transcript.pyannote[1991].start 12087.49221875
transcript.pyannote[1991].end 12087.69471875
transcript.pyannote[1992].speaker SPEAKER_04
transcript.pyannote[1992].start 12087.69471875
transcript.pyannote[1992].end 12087.76221875
transcript.pyannote[1993].speaker SPEAKER_09
transcript.pyannote[1993].start 12087.76221875
transcript.pyannote[1993].end 12087.91409375
transcript.pyannote[1994].speaker SPEAKER_09
transcript.pyannote[1994].start 12091.91346875
transcript.pyannote[1994].end 12093.49971875
transcript.pyannote[1995].speaker SPEAKER_04
transcript.pyannote[1995].start 12092.30159375
transcript.pyannote[1995].end 12093.60096875
transcript.pyannote[1996].speaker SPEAKER_04
transcript.pyannote[1996].start 12095.01846875
transcript.pyannote[1996].end 12101.12721875
transcript.pyannote[1997].speaker SPEAKER_42
transcript.pyannote[1997].start 12110.39159375
transcript.pyannote[1997].end 12111.60659375
transcript.pyannote[1998].speaker SPEAKER_42
transcript.pyannote[1998].start 12113.47971875
transcript.pyannote[1998].end 12113.88471875
transcript.pyannote[1999].speaker SPEAKER_42
transcript.pyannote[1999].start 12114.27284375
transcript.pyannote[1999].end 12114.82971875
transcript.pyannote[2000].speaker SPEAKER_42
transcript.pyannote[2000].start 12115.20096875
transcript.pyannote[2000].end 12116.61846875
transcript.pyannote[2001].speaker SPEAKER_42
transcript.pyannote[2001].start 12116.92221875
transcript.pyannote[2001].end 12117.56346875
transcript.pyannote[2002].speaker SPEAKER_42
transcript.pyannote[2002].start 12118.00221875
transcript.pyannote[2002].end 12118.69409375
transcript.pyannote[2003].speaker SPEAKER_04
transcript.pyannote[2003].start 12118.86284375
transcript.pyannote[2003].end 12119.82471875
transcript.pyannote[2004].speaker SPEAKER_04
transcript.pyannote[2004].start 12121.41096875
transcript.pyannote[2004].end 12122.13659375
transcript.pyannote[2005].speaker SPEAKER_42
transcript.pyannote[2005].start 12122.60909375
transcript.pyannote[2005].end 12123.95909375
transcript.pyannote[2006].speaker SPEAKER_42
transcript.pyannote[2006].start 12125.61284375
transcript.pyannote[2006].end 12126.92909375
transcript.pyannote[2007].speaker SPEAKER_42
transcript.pyannote[2007].start 12127.38471875
transcript.pyannote[2007].end 12132.51471875
transcript.pyannote[2008].speaker SPEAKER_42
transcript.pyannote[2008].start 12133.18971875
transcript.pyannote[2008].end 12139.18034375
transcript.pyannote[2009].speaker SPEAKER_42
transcript.pyannote[2009].start 12139.78784375
transcript.pyannote[2009].end 12141.22221875
transcript.pyannote[2010].speaker SPEAKER_42
transcript.pyannote[2010].start 12141.66096875
transcript.pyannote[2010].end 12142.75784375
transcript.pyannote[2011].speaker SPEAKER_42
transcript.pyannote[2011].start 12142.92659375
transcript.pyannote[2011].end 12143.93909375
transcript.pyannote[2012].speaker SPEAKER_42
transcript.pyannote[2012].start 12144.39471875
transcript.pyannote[2012].end 12152.35971875
transcript.pyannote[2013].speaker SPEAKER_42
transcript.pyannote[2013].start 12152.86596875
transcript.pyannote[2013].end 12153.37221875
transcript.pyannote[2014].speaker SPEAKER_42
transcript.pyannote[2014].start 12154.85721875
transcript.pyannote[2014].end 12156.02159375
transcript.pyannote[2015].speaker SPEAKER_42
transcript.pyannote[2015].start 12157.08471875
transcript.pyannote[2015].end 12162.55221875
transcript.pyannote[2016].speaker SPEAKER_42
transcript.pyannote[2016].start 12163.49721875
transcript.pyannote[2016].end 12166.85534375
transcript.pyannote[2017].speaker SPEAKER_42
transcript.pyannote[2017].start 12167.63159375
transcript.pyannote[2017].end 12168.28971875
transcript.pyannote[2018].speaker SPEAKER_42
transcript.pyannote[2018].start 12168.98159375
transcript.pyannote[2018].end 12171.44534375
transcript.pyannote[2019].speaker SPEAKER_42
transcript.pyannote[2019].start 12172.06971875
transcript.pyannote[2019].end 12175.05659375
transcript.pyannote[2020].speaker SPEAKER_42
transcript.pyannote[2020].start 12176.05221875
transcript.pyannote[2020].end 12177.23346875
transcript.pyannote[2021].speaker SPEAKER_42
transcript.pyannote[2021].start 12177.84096875
transcript.pyannote[2021].end 12181.99221875
transcript.pyannote[2022].speaker SPEAKER_42
transcript.pyannote[2022].start 12182.49846875
transcript.pyannote[2022].end 12187.81409375
transcript.pyannote[2023].speaker SPEAKER_42
transcript.pyannote[2023].start 12188.28659375
transcript.pyannote[2023].end 12189.46784375
transcript.pyannote[2024].speaker SPEAKER_42
transcript.pyannote[2024].start 12189.70409375
transcript.pyannote[2024].end 12191.29034375
transcript.pyannote[2025].speaker SPEAKER_42
transcript.pyannote[2025].start 12191.71221875
transcript.pyannote[2025].end 12193.06221875
transcript.pyannote[2026].speaker SPEAKER_44
transcript.pyannote[2026].start 12193.85534375
transcript.pyannote[2026].end 12193.87221875
transcript.pyannote[2027].speaker SPEAKER_42
transcript.pyannote[2027].start 12193.87221875
transcript.pyannote[2027].end 12195.42471875
transcript.pyannote[2028].speaker SPEAKER_16
transcript.pyannote[2028].start 12195.96471875
transcript.pyannote[2028].end 12204.60471875
transcript.pyannote[2029].speaker SPEAKER_42
transcript.pyannote[2029].start 12202.02284375
transcript.pyannote[2029].end 12202.32659375
transcript.pyannote[2030].speaker SPEAKER_42
transcript.pyannote[2030].start 12204.55409375
transcript.pyannote[2030].end 12215.75909375
transcript.pyannote[2031].speaker SPEAKER_42
transcript.pyannote[2031].start 12215.89409375
transcript.pyannote[2031].end 12231.11534375
transcript.pyannote[2032].speaker SPEAKER_42
transcript.pyannote[2032].start 12231.62159375
transcript.pyannote[2032].end 12236.51534375
transcript.pyannote[2033].speaker SPEAKER_42
transcript.pyannote[2033].start 12236.76846875
transcript.pyannote[2033].end 12239.31659375
transcript.pyannote[2034].speaker SPEAKER_42
transcript.pyannote[2034].start 12240.12659375
transcript.pyannote[2034].end 12241.34159375
transcript.pyannote[2035].speaker SPEAKER_42
transcript.pyannote[2035].start 12241.79721875
transcript.pyannote[2035].end 12242.28659375
transcript.pyannote[2036].speaker SPEAKER_42
transcript.pyannote[2036].start 12242.91096875
transcript.pyannote[2036].end 12245.42534375
transcript.pyannote[2037].speaker SPEAKER_42
transcript.pyannote[2037].start 12245.98221875
transcript.pyannote[2037].end 12249.57659375
transcript.pyannote[2038].speaker SPEAKER_42
transcript.pyannote[2038].start 12249.89721875
transcript.pyannote[2038].end 12253.20471875
transcript.pyannote[2039].speaker SPEAKER_41
transcript.pyannote[2039].start 12253.35659375
transcript.pyannote[2039].end 12253.52534375
transcript.pyannote[2040].speaker SPEAKER_42
transcript.pyannote[2040].start 12253.52534375
transcript.pyannote[2040].end 12257.28846875
transcript.pyannote[2041].speaker SPEAKER_42
transcript.pyannote[2041].start 12257.44034375
transcript.pyannote[2041].end 12269.47221875
transcript.pyannote[2042].speaker SPEAKER_42
transcript.pyannote[2042].start 12269.67471875
transcript.pyannote[2042].end 12274.50096875
transcript.pyannote[2043].speaker SPEAKER_42
transcript.pyannote[2043].start 12274.75409375
transcript.pyannote[2043].end 12278.17971875
transcript.pyannote[2044].speaker SPEAKER_42
transcript.pyannote[2044].start 12278.56784375
transcript.pyannote[2044].end 12279.42846875
transcript.pyannote[2045].speaker SPEAKER_42
transcript.pyannote[2045].start 12279.71534375
transcript.pyannote[2045].end 12282.92159375
transcript.pyannote[2046].speaker SPEAKER_42
transcript.pyannote[2046].start 12283.42784375
transcript.pyannote[2046].end 12285.73971875
transcript.pyannote[2047].speaker SPEAKER_42
transcript.pyannote[2047].start 12286.11096875
transcript.pyannote[2047].end 12299.18909375
transcript.pyannote[2048].speaker SPEAKER_42
transcript.pyannote[2048].start 12299.49284375
transcript.pyannote[2048].end 12304.70721875
transcript.pyannote[2049].speaker SPEAKER_02
transcript.pyannote[2049].start 12305.04471875
transcript.pyannote[2049].end 12305.11221875
transcript.pyannote[2050].speaker SPEAKER_42
transcript.pyannote[2050].start 12305.11221875
transcript.pyannote[2050].end 12306.78284375
transcript.pyannote[2051].speaker SPEAKER_42
transcript.pyannote[2051].start 12306.79971875
transcript.pyannote[2051].end 12313.60034375
transcript.pyannote[2052].speaker SPEAKER_42
transcript.pyannote[2052].start 12313.85346875
transcript.pyannote[2052].end 12316.67159375
transcript.pyannote[2053].speaker SPEAKER_42
transcript.pyannote[2053].start 12317.00909375
transcript.pyannote[2053].end 12321.86909375
transcript.pyannote[2054].speaker SPEAKER_42
transcript.pyannote[2054].start 12321.95346875
transcript.pyannote[2054].end 12335.97659375
transcript.pyannote[2055].speaker SPEAKER_44
transcript.pyannote[2055].start 12335.70659375
transcript.pyannote[2055].end 12336.31409375
transcript.pyannote[2056].speaker SPEAKER_42
transcript.pyannote[2056].start 12336.31409375
transcript.pyannote[2056].end 12341.42721875
transcript.pyannote[2057].speaker SPEAKER_42
transcript.pyannote[2057].start 12342.03471875
transcript.pyannote[2057].end 12342.32159375
transcript.pyannote[2058].speaker SPEAKER_42
transcript.pyannote[2058].start 12342.94596875
transcript.pyannote[2058].end 12349.10534375
transcript.pyannote[2059].speaker SPEAKER_42
transcript.pyannote[2059].start 12349.37534375
transcript.pyannote[2059].end 12350.20221875
transcript.pyannote[2060].speaker SPEAKER_42
transcript.pyannote[2060].start 12350.32034375
transcript.pyannote[2060].end 12361.22159375
transcript.pyannote[2061].speaker SPEAKER_11
transcript.pyannote[2061].start 12358.36971875
transcript.pyannote[2061].end 12358.42034375
transcript.pyannote[2062].speaker SPEAKER_42
transcript.pyannote[2062].start 12361.49159375
transcript.pyannote[2062].end 12366.40221875
transcript.pyannote[2063].speaker SPEAKER_42
transcript.pyannote[2063].start 12366.82409375
transcript.pyannote[2063].end 12375.34596875
transcript.pyannote[2064].speaker SPEAKER_44
transcript.pyannote[2064].start 12375.32909375
transcript.pyannote[2064].end 12375.81846875
transcript.pyannote[2065].speaker SPEAKER_42
transcript.pyannote[2065].start 12375.80159375
transcript.pyannote[2065].end 12376.47659375
transcript.pyannote[2066].speaker SPEAKER_42
transcript.pyannote[2066].start 12376.98284375
transcript.pyannote[2066].end 12378.09659375
transcript.pyannote[2067].speaker SPEAKER_42
transcript.pyannote[2067].start 12378.43409375
transcript.pyannote[2067].end 12383.24346875
transcript.pyannote[2068].speaker SPEAKER_42
transcript.pyannote[2068].start 12384.01971875
transcript.pyannote[2068].end 12387.54659375
transcript.pyannote[2069].speaker SPEAKER_42
transcript.pyannote[2069].start 12388.12034375
transcript.pyannote[2069].end 12393.30096875
transcript.pyannote[2070].speaker SPEAKER_42
transcript.pyannote[2070].start 12393.72284375
transcript.pyannote[2070].end 12395.52846875
transcript.pyannote[2071].speaker SPEAKER_42
transcript.pyannote[2071].start 12395.93346875
transcript.pyannote[2071].end 12398.22846875
transcript.pyannote[2072].speaker SPEAKER_42
transcript.pyannote[2072].start 12398.98784375
transcript.pyannote[2072].end 12401.78909375
transcript.pyannote[2073].speaker SPEAKER_42
transcript.pyannote[2073].start 12403.49346875
transcript.pyannote[2073].end 12410.66534375
transcript.pyannote[2074].speaker SPEAKER_42
transcript.pyannote[2074].start 12411.44159375
transcript.pyannote[2074].end 12416.80784375
transcript.pyannote[2075].speaker SPEAKER_42
transcript.pyannote[2075].start 12417.48284375
transcript.pyannote[2075].end 12423.57471875
transcript.pyannote[2076].speaker SPEAKER_42
transcript.pyannote[2076].start 12424.18221875
transcript.pyannote[2076].end 12426.24096875
transcript.pyannote[2077].speaker SPEAKER_42
transcript.pyannote[2077].start 12426.54471875
transcript.pyannote[2077].end 12428.87346875
transcript.pyannote[2078].speaker SPEAKER_42
transcript.pyannote[2078].start 12429.22784375
transcript.pyannote[2078].end 12430.66221875
transcript.pyannote[2079].speaker SPEAKER_42
transcript.pyannote[2079].start 12430.98284375
transcript.pyannote[2079].end 12431.77596875
transcript.pyannote[2080].speaker SPEAKER_42
transcript.pyannote[2080].start 12432.53534375
transcript.pyannote[2080].end 12433.75034375
transcript.pyannote[2081].speaker SPEAKER_42
transcript.pyannote[2081].start 12434.35784375
transcript.pyannote[2081].end 12434.71221875
transcript.pyannote[2082].speaker SPEAKER_42
transcript.pyannote[2082].start 12435.48846875
transcript.pyannote[2082].end 12437.41221875
transcript.pyannote[2083].speaker SPEAKER_42
transcript.pyannote[2083].start 12437.93534375
transcript.pyannote[2083].end 12440.26409375
transcript.pyannote[2084].speaker SPEAKER_42
transcript.pyannote[2084].start 12441.14159375
transcript.pyannote[2084].end 12443.03159375
transcript.pyannote[2085].speaker SPEAKER_42
transcript.pyannote[2085].start 12443.16659375
transcript.pyannote[2085].end 12444.28034375
transcript.pyannote[2086].speaker SPEAKER_42
transcript.pyannote[2086].start 12444.73596875
transcript.pyannote[2086].end 12447.19971875
transcript.pyannote[2087].speaker SPEAKER_42
transcript.pyannote[2087].start 12447.52034375
transcript.pyannote[2087].end 12450.91221875
transcript.pyannote[2088].speaker SPEAKER_42
transcript.pyannote[2088].start 12451.06409375
transcript.pyannote[2088].end 12452.27909375
transcript.pyannote[2089].speaker SPEAKER_42
transcript.pyannote[2089].start 12452.81909375
transcript.pyannote[2089].end 12455.31659375
transcript.pyannote[2090].speaker SPEAKER_42
transcript.pyannote[2090].start 12455.65409375
transcript.pyannote[2090].end 12456.43034375
transcript.pyannote[2091].speaker SPEAKER_42
transcript.pyannote[2091].start 12456.90284375
transcript.pyannote[2091].end 12464.12534375
transcript.pyannote[2092].speaker SPEAKER_42
transcript.pyannote[2092].start 12464.66534375
transcript.pyannote[2092].end 12464.98596875
transcript.pyannote[2093].speaker SPEAKER_42
transcript.pyannote[2093].start 12465.61034375
transcript.pyannote[2093].end 12468.68159375
transcript.pyannote[2094].speaker SPEAKER_42
transcript.pyannote[2094].start 12469.05284375
transcript.pyannote[2094].end 12475.07721875
transcript.pyannote[2095].speaker SPEAKER_42
transcript.pyannote[2095].start 12475.46534375
transcript.pyannote[2095].end 12480.73034375
transcript.pyannote[2096].speaker SPEAKER_42
transcript.pyannote[2096].start 12481.28721875
transcript.pyannote[2096].end 12485.25284375
transcript.pyannote[2097].speaker SPEAKER_42
transcript.pyannote[2097].start 12485.79284375
transcript.pyannote[2097].end 12490.53471875
transcript.pyannote[2098].speaker SPEAKER_42
transcript.pyannote[2098].start 12490.85534375
transcript.pyannote[2098].end 12491.71596875
transcript.pyannote[2099].speaker SPEAKER_42
transcript.pyannote[2099].start 12492.13784375
transcript.pyannote[2099].end 12492.67784375
transcript.pyannote[2100].speaker SPEAKER_42
transcript.pyannote[2100].start 12493.13346875
transcript.pyannote[2100].end 12497.28471875
transcript.pyannote[2101].speaker SPEAKER_42
transcript.pyannote[2101].start 12497.53784375
transcript.pyannote[2101].end 12501.28409375
transcript.pyannote[2102].speaker SPEAKER_42
transcript.pyannote[2102].start 12501.58784375
transcript.pyannote[2102].end 12504.59159375
transcript.pyannote[2103].speaker SPEAKER_42
transcript.pyannote[2103].start 12504.89534375
transcript.pyannote[2103].end 12506.92034375
transcript.pyannote[2104].speaker SPEAKER_06
transcript.pyannote[2104].start 12507.37596875
transcript.pyannote[2104].end 12509.78909375
transcript.pyannote[2105].speaker SPEAKER_42
transcript.pyannote[2105].start 12507.94971875
transcript.pyannote[2105].end 12508.57409375
transcript.pyannote[2106].speaker SPEAKER_42
transcript.pyannote[2106].start 12509.73846875
transcript.pyannote[2106].end 12510.81846875
transcript.pyannote[2107].speaker SPEAKER_42
transcript.pyannote[2107].start 12511.30784375
transcript.pyannote[2107].end 12517.18034375
transcript.pyannote[2108].speaker SPEAKER_42
transcript.pyannote[2108].start 12517.70346875
transcript.pyannote[2108].end 12519.67784375
transcript.pyannote[2109].speaker SPEAKER_44
transcript.pyannote[2109].start 12519.88034375
transcript.pyannote[2109].end 12520.23471875
transcript.pyannote[2110].speaker SPEAKER_42
transcript.pyannote[2110].start 12520.01534375
transcript.pyannote[2110].end 12521.63534375
transcript.pyannote[2111].speaker SPEAKER_42
transcript.pyannote[2111].start 12522.31034375
transcript.pyannote[2111].end 12526.78221875
transcript.pyannote[2112].speaker SPEAKER_42
transcript.pyannote[2112].start 12527.03534375
transcript.pyannote[2112].end 12527.77784375
transcript.pyannote[2113].speaker SPEAKER_16
transcript.pyannote[2113].start 12528.31784375
transcript.pyannote[2113].end 12537.85221875
transcript.pyannote[2114].speaker SPEAKER_42
transcript.pyannote[2114].start 12537.85221875
transcript.pyannote[2114].end 12539.45534375
transcript.pyannote[2115].speaker SPEAKER_16
transcript.pyannote[2115].start 12539.45534375
transcript.pyannote[2115].end 12539.47221875
transcript.pyannote[2116].speaker SPEAKER_16
transcript.pyannote[2116].start 12539.48909375
transcript.pyannote[2116].end 12542.76284375
transcript.pyannote[2117].speaker SPEAKER_42
transcript.pyannote[2117].start 12542.35784375
transcript.pyannote[2117].end 12542.59409375
transcript.pyannote[2118].speaker SPEAKER_42
transcript.pyannote[2118].start 12542.76284375
transcript.pyannote[2118].end 12544.78784375
transcript.pyannote[2119].speaker SPEAKER_42
transcript.pyannote[2119].start 12545.26034375
transcript.pyannote[2119].end 12546.47534375
transcript.pyannote[2120].speaker SPEAKER_42
transcript.pyannote[2120].start 12546.72846875
transcript.pyannote[2120].end 12547.38659375
transcript.pyannote[2121].speaker SPEAKER_43
transcript.pyannote[2121].start 12547.52159375
transcript.pyannote[2121].end 12547.94346875
transcript.pyannote[2122].speaker SPEAKER_42
transcript.pyannote[2122].start 12547.94346875
transcript.pyannote[2122].end 12550.66034375
transcript.pyannote[2123].speaker SPEAKER_42
transcript.pyannote[2123].start 12550.71096875
transcript.pyannote[2123].end 12564.14346875
transcript.pyannote[2124].speaker SPEAKER_44
transcript.pyannote[2124].start 12564.14346875
transcript.pyannote[2124].end 12564.44721875
transcript.pyannote[2125].speaker SPEAKER_42
transcript.pyannote[2125].start 12564.64971875
transcript.pyannote[2125].end 12569.52659375
transcript.pyannote[2126].speaker SPEAKER_42
transcript.pyannote[2126].start 12569.86409375
transcript.pyannote[2126].end 12570.72471875
transcript.pyannote[2127].speaker SPEAKER_42
transcript.pyannote[2127].start 12571.02846875
transcript.pyannote[2127].end 12574.48784375
transcript.pyannote[2128].speaker SPEAKER_42
transcript.pyannote[2128].start 12574.80846875
transcript.pyannote[2128].end 12575.75346875
transcript.pyannote[2129].speaker SPEAKER_42
transcript.pyannote[2129].start 12576.24284375
transcript.pyannote[2129].end 12577.76159375
transcript.pyannote[2130].speaker SPEAKER_42
transcript.pyannote[2130].start 12578.13284375
transcript.pyannote[2130].end 12581.99721875
transcript.pyannote[2131].speaker SPEAKER_42
transcript.pyannote[2131].start 12582.16596875
transcript.pyannote[2131].end 12583.21221875
transcript.pyannote[2132].speaker SPEAKER_42
transcript.pyannote[2132].start 12584.32596875
transcript.pyannote[2132].end 12588.81471875
transcript.pyannote[2133].speaker SPEAKER_42
transcript.pyannote[2133].start 12589.38846875
transcript.pyannote[2133].end 12592.13909375
transcript.pyannote[2134].speaker SPEAKER_42
transcript.pyannote[2134].start 12593.05034375
transcript.pyannote[2134].end 12594.83909375
transcript.pyannote[2135].speaker SPEAKER_42
transcript.pyannote[2135].start 12595.31159375
transcript.pyannote[2135].end 12598.39971875
transcript.pyannote[2136].speaker SPEAKER_42
transcript.pyannote[2136].start 12598.90596875
transcript.pyannote[2136].end 12601.72409375
transcript.pyannote[2137].speaker SPEAKER_42
transcript.pyannote[2137].start 12601.97721875
transcript.pyannote[2137].end 12607.29284375
transcript.pyannote[2138].speaker SPEAKER_42
transcript.pyannote[2138].start 12608.08596875
transcript.pyannote[2138].end 12610.88721875
transcript.pyannote[2139].speaker SPEAKER_42
transcript.pyannote[2139].start 12611.30909375
transcript.pyannote[2139].end 12615.17346875
transcript.pyannote[2140].speaker SPEAKER_42
transcript.pyannote[2140].start 12615.44346875
transcript.pyannote[2140].end 12620.06721875
transcript.pyannote[2141].speaker SPEAKER_42
transcript.pyannote[2141].start 12620.42159375
transcript.pyannote[2141].end 12627.37409375
transcript.pyannote[2142].speaker SPEAKER_42
transcript.pyannote[2142].start 12627.45846875
transcript.pyannote[2142].end 12630.32721875
transcript.pyannote[2143].speaker SPEAKER_00
transcript.pyannote[2143].start 12627.81284375
transcript.pyannote[2143].end 12627.89721875
transcript.pyannote[2144].speaker SPEAKER_42
transcript.pyannote[2144].start 12630.74909375
transcript.pyannote[2144].end 12631.17096875
transcript.pyannote[2145].speaker SPEAKER_42
transcript.pyannote[2145].start 12631.57596875
transcript.pyannote[2145].end 12634.05659375
transcript.pyannote[2146].speaker SPEAKER_42
transcript.pyannote[2146].start 12634.64721875
transcript.pyannote[2146].end 12639.11909375
transcript.pyannote[2147].speaker SPEAKER_42
transcript.pyannote[2147].start 12640.21596875
transcript.pyannote[2147].end 12642.29159375
transcript.pyannote[2148].speaker SPEAKER_42
transcript.pyannote[2148].start 12643.06784375
transcript.pyannote[2148].end 12647.79284375
transcript.pyannote[2149].speaker SPEAKER_42
transcript.pyannote[2149].start 12648.41721875
transcript.pyannote[2149].end 12650.35784375
transcript.pyannote[2150].speaker SPEAKER_42
transcript.pyannote[2150].start 12650.72909375
transcript.pyannote[2150].end 12652.48409375
transcript.pyannote[2151].speaker SPEAKER_42
transcript.pyannote[2151].start 12652.58534375
transcript.pyannote[2151].end 12652.95659375
transcript.pyannote[2152].speaker SPEAKER_42
transcript.pyannote[2152].start 12653.00721875
transcript.pyannote[2152].end 12657.19221875
transcript.pyannote[2153].speaker SPEAKER_42
transcript.pyannote[2153].start 12657.51284375
transcript.pyannote[2153].end 12660.90471875
transcript.pyannote[2154].speaker SPEAKER_00
transcript.pyannote[2154].start 12658.42409375
transcript.pyannote[2154].end 12658.45784375
transcript.pyannote[2155].speaker SPEAKER_44
transcript.pyannote[2155].start 12658.45784375
transcript.pyannote[2155].end 12658.89659375
transcript.pyannote[2156].speaker SPEAKER_44
transcript.pyannote[2156].start 12661.03971875
transcript.pyannote[2156].end 12661.49534375
transcript.pyannote[2157].speaker SPEAKER_42
transcript.pyannote[2157].start 12661.64721875
transcript.pyannote[2157].end 12670.18596875
transcript.pyannote[2158].speaker SPEAKER_42
transcript.pyannote[2158].start 12670.72596875
transcript.pyannote[2158].end 12675.55221875
transcript.pyannote[2159].speaker SPEAKER_42
transcript.pyannote[2159].start 12675.95721875
transcript.pyannote[2159].end 12678.65721875
transcript.pyannote[2160].speaker SPEAKER_42
transcript.pyannote[2160].start 12679.11284375
transcript.pyannote[2160].end 12682.03221875
transcript.pyannote[2161].speaker SPEAKER_42
transcript.pyannote[2161].start 12682.31909375
transcript.pyannote[2161].end 12684.49596875
transcript.pyannote[2162].speaker SPEAKER_42
transcript.pyannote[2162].start 12685.15409375
transcript.pyannote[2162].end 12688.34346875
transcript.pyannote[2163].speaker SPEAKER_42
transcript.pyannote[2163].start 12688.71471875
transcript.pyannote[2163].end 12690.18284375
transcript.pyannote[2164].speaker SPEAKER_42
transcript.pyannote[2164].start 12690.45284375
transcript.pyannote[2164].end 12692.88284375
transcript.pyannote[2165].speaker SPEAKER_42
transcript.pyannote[2165].start 12693.18659375
transcript.pyannote[2165].end 12700.45971875
transcript.pyannote[2166].speaker SPEAKER_44
transcript.pyannote[2166].start 12700.45971875
transcript.pyannote[2166].end 12700.59471875
transcript.pyannote[2167].speaker SPEAKER_42
transcript.pyannote[2167].start 12700.59471875
transcript.pyannote[2167].end 12712.91346875
transcript.pyannote[2168].speaker SPEAKER_42
transcript.pyannote[2168].start 12713.36909375
transcript.pyannote[2168].end 12715.49534375
transcript.pyannote[2169].speaker SPEAKER_42
transcript.pyannote[2169].start 12715.73159375
transcript.pyannote[2169].end 12720.55784375
transcript.pyannote[2170].speaker SPEAKER_42
transcript.pyannote[2170].start 12720.77721875
transcript.pyannote[2170].end 12726.02534375
transcript.pyannote[2171].speaker SPEAKER_42
transcript.pyannote[2171].start 12726.51471875
transcript.pyannote[2171].end 12730.80096875
transcript.pyannote[2172].speaker SPEAKER_42
transcript.pyannote[2172].start 12731.17221875
transcript.pyannote[2172].end 12746.20784375
transcript.pyannote[2173].speaker SPEAKER_42
transcript.pyannote[2173].start 12746.83221875
transcript.pyannote[2173].end 12749.16096875
transcript.pyannote[2174].speaker SPEAKER_42
transcript.pyannote[2174].start 12749.51534375
transcript.pyannote[2174].end 12751.20284375
transcript.pyannote[2175].speaker SPEAKER_42
transcript.pyannote[2175].start 12751.57409375
transcript.pyannote[2175].end 12754.03784375
transcript.pyannote[2176].speaker SPEAKER_42
transcript.pyannote[2176].start 12754.08846875
transcript.pyannote[2176].end 12756.40034375
transcript.pyannote[2177].speaker SPEAKER_42
transcript.pyannote[2177].start 12756.46784375
transcript.pyannote[2177].end 12760.78784375
transcript.pyannote[2178].speaker SPEAKER_42
transcript.pyannote[2178].start 12761.56409375
transcript.pyannote[2178].end 12766.44096875
transcript.pyannote[2179].speaker SPEAKER_44
transcript.pyannote[2179].start 12765.04034375
transcript.pyannote[2179].end 12765.07409375
transcript.pyannote[2180].speaker SPEAKER_42
transcript.pyannote[2180].start 12766.60971875
transcript.pyannote[2180].end 12769.03971875
transcript.pyannote[2181].speaker SPEAKER_42
transcript.pyannote[2181].start 12769.59659375
transcript.pyannote[2181].end 12774.81096875
transcript.pyannote[2182].speaker SPEAKER_42
transcript.pyannote[2182].start 12775.23284375
transcript.pyannote[2182].end 12780.12659375
transcript.pyannote[2183].speaker SPEAKER_42
transcript.pyannote[2183].start 12780.51471875
transcript.pyannote[2183].end 12781.18971875
transcript.pyannote[2184].speaker SPEAKER_42
transcript.pyannote[2184].start 12782.23596875
transcript.pyannote[2184].end 12783.18096875
transcript.pyannote[2185].speaker SPEAKER_42
transcript.pyannote[2185].start 12783.88971875
transcript.pyannote[2185].end 12787.26471875
transcript.pyannote[2186].speaker SPEAKER_42
transcript.pyannote[2186].start 12787.73721875
transcript.pyannote[2186].end 12789.08721875
transcript.pyannote[2187].speaker SPEAKER_42
transcript.pyannote[2187].start 12789.74534375
transcript.pyannote[2187].end 12797.67659375
transcript.pyannote[2188].speaker SPEAKER_06
transcript.pyannote[2188].start 12797.67659375
transcript.pyannote[2188].end 12798.40221875
transcript.pyannote[2189].speaker SPEAKER_42
transcript.pyannote[2189].start 12798.06471875
transcript.pyannote[2189].end 12803.90346875
transcript.pyannote[2190].speaker SPEAKER_42
transcript.pyannote[2190].start 12804.32534375
transcript.pyannote[2190].end 12806.40096875
transcript.pyannote[2191].speaker SPEAKER_42
transcript.pyannote[2191].start 12808.03784375
transcript.pyannote[2191].end 12809.13471875
transcript.pyannote[2192].speaker SPEAKER_44
transcript.pyannote[2192].start 12809.33721875
transcript.pyannote[2192].end 12809.99534375
transcript.pyannote[2193].speaker SPEAKER_42
transcript.pyannote[2193].start 12809.53971875
transcript.pyannote[2193].end 12810.21471875
transcript.pyannote[2194].speaker SPEAKER_42
transcript.pyannote[2194].start 12810.38346875
transcript.pyannote[2194].end 12810.40034375
transcript.pyannote[2195].speaker SPEAKER_44
transcript.pyannote[2195].start 12810.40034375
transcript.pyannote[2195].end 12810.41721875
transcript.pyannote[2196].speaker SPEAKER_42
transcript.pyannote[2196].start 12810.41721875
transcript.pyannote[2196].end 12810.46784375
transcript.pyannote[2197].speaker SPEAKER_44
transcript.pyannote[2197].start 12810.46784375
transcript.pyannote[2197].end 12810.80534375
transcript.pyannote[2198].speaker SPEAKER_42
transcript.pyannote[2198].start 12810.80534375
transcript.pyannote[2198].end 12810.83909375
transcript.pyannote[2199].speaker SPEAKER_44
transcript.pyannote[2199].start 12811.19346875
transcript.pyannote[2199].end 12811.21034375
transcript.pyannote[2200].speaker SPEAKER_42
transcript.pyannote[2200].start 12811.21034375
transcript.pyannote[2200].end 12812.83034375
transcript.pyannote[2201].speaker SPEAKER_44
transcript.pyannote[2201].start 12811.26096875
transcript.pyannote[2201].end 12811.32846875
transcript.pyannote[2202].speaker SPEAKER_44
transcript.pyannote[2202].start 12812.83034375
transcript.pyannote[2202].end 12813.04971875
transcript.pyannote[2203].speaker SPEAKER_42
transcript.pyannote[2203].start 12813.04971875
transcript.pyannote[2203].end 12816.69471875
transcript.pyannote[2204].speaker SPEAKER_42
transcript.pyannote[2204].start 12816.79596875
transcript.pyannote[2204].end 12817.80846875
transcript.pyannote[2205].speaker SPEAKER_42
transcript.pyannote[2205].start 12818.33159375
transcript.pyannote[2205].end 12822.11159375
transcript.pyannote[2206].speaker SPEAKER_44
transcript.pyannote[2206].start 12822.11159375
transcript.pyannote[2206].end 12822.17909375
transcript.pyannote[2207].speaker SPEAKER_42
transcript.pyannote[2207].start 12822.17909375
transcript.pyannote[2207].end 12826.68471875
transcript.pyannote[2208].speaker SPEAKER_44
transcript.pyannote[2208].start 12822.31409375
transcript.pyannote[2208].end 12822.36471875
transcript.pyannote[2209].speaker SPEAKER_42
transcript.pyannote[2209].start 12827.17409375
transcript.pyannote[2209].end 12827.61284375
transcript.pyannote[2210].speaker SPEAKER_42
transcript.pyannote[2210].start 12827.71409375
transcript.pyannote[2210].end 12828.76034375
transcript.pyannote[2211].speaker SPEAKER_42
transcript.pyannote[2211].start 12829.46909375
transcript.pyannote[2211].end 12837.92346875
transcript.pyannote[2212].speaker SPEAKER_44
transcript.pyannote[2212].start 12838.31159375
transcript.pyannote[2212].end 12838.71659375
transcript.pyannote[2213].speaker SPEAKER_42
transcript.pyannote[2213].start 12838.59846875
transcript.pyannote[2213].end 12851.54159375
transcript.pyannote[2214].speaker SPEAKER_06
transcript.pyannote[2214].start 12849.49971875
transcript.pyannote[2214].end 12850.17471875
transcript.pyannote[2215].speaker SPEAKER_06
transcript.pyannote[2215].start 12850.44471875
transcript.pyannote[2215].end 12850.66409375
transcript.pyannote[2216].speaker SPEAKER_06
transcript.pyannote[2216].start 12851.03534375
transcript.pyannote[2216].end 12857.95409375
transcript.pyannote[2217].speaker SPEAKER_06
transcript.pyannote[2217].start 12858.27471875
transcript.pyannote[2217].end 12863.48909375
transcript.pyannote[2218].speaker SPEAKER_06
transcript.pyannote[2218].start 12863.91096875
transcript.pyannote[2218].end 12864.29909375
transcript.pyannote[2219].speaker SPEAKER_06
transcript.pyannote[2219].start 12864.53534375
transcript.pyannote[2219].end 12869.85096875
transcript.pyannote[2220].speaker SPEAKER_35
transcript.pyannote[2220].start 12869.42909375
transcript.pyannote[2220].end 12869.46284375
transcript.pyannote[2221].speaker SPEAKER_35
transcript.pyannote[2221].start 12869.47971875
transcript.pyannote[2221].end 12869.83409375
transcript.pyannote[2222].speaker SPEAKER_35
transcript.pyannote[2222].start 12869.85096875
transcript.pyannote[2222].end 12870.17159375
transcript.pyannote[2223].speaker SPEAKER_06
transcript.pyannote[2223].start 12870.32346875
transcript.pyannote[2223].end 12874.69409375
transcript.pyannote[2224].speaker SPEAKER_06
transcript.pyannote[2224].start 12875.18346875
transcript.pyannote[2224].end 12879.43596875
transcript.pyannote[2225].speaker SPEAKER_41
transcript.pyannote[2225].start 12877.61346875
transcript.pyannote[2225].end 12884.61659375
transcript.pyannote[2226].speaker SPEAKER_06
transcript.pyannote[2226].start 12880.61721875
transcript.pyannote[2226].end 12881.41034375
transcript.pyannote[2227].speaker SPEAKER_06
transcript.pyannote[2227].start 12881.68034375
transcript.pyannote[2227].end 12882.15284375
transcript.pyannote[2228].speaker SPEAKER_06
transcript.pyannote[2228].start 12882.49034375
transcript.pyannote[2228].end 12884.12721875
transcript.pyannote[2229].speaker SPEAKER_06
transcript.pyannote[2229].start 12884.31284375
transcript.pyannote[2229].end 12885.64596875
transcript.pyannote[2230].speaker SPEAKER_06
transcript.pyannote[2230].start 12886.13534375
transcript.pyannote[2230].end 12891.26534375
transcript.pyannote[2231].speaker SPEAKER_42
transcript.pyannote[2231].start 12890.99534375
transcript.pyannote[2231].end 12891.24846875
transcript.pyannote[2232].speaker SPEAKER_42
transcript.pyannote[2232].start 12891.26534375
transcript.pyannote[2232].end 12891.33284375
transcript.pyannote[2233].speaker SPEAKER_42
transcript.pyannote[2233].start 12891.65346875
transcript.pyannote[2233].end 12898.79159375
transcript.pyannote[2234].speaker SPEAKER_06
transcript.pyannote[2234].start 12891.75471875
transcript.pyannote[2234].end 12892.04159375
transcript.pyannote[2235].speaker SPEAKER_06
transcript.pyannote[2235].start 12895.34909375
transcript.pyannote[2235].end 12895.36596875
transcript.pyannote[2236].speaker SPEAKER_04
transcript.pyannote[2236].start 12895.36596875
transcript.pyannote[2236].end 12897.13784375
transcript.pyannote[2237].speaker SPEAKER_04
transcript.pyannote[2237].start 12897.71159375
transcript.pyannote[2237].end 12899.21346875
transcript.pyannote[2238].speaker SPEAKER_04
transcript.pyannote[2238].start 12899.58471875
transcript.pyannote[2238].end 12901.69409375
transcript.pyannote[2239].speaker SPEAKER_04
transcript.pyannote[2239].start 12902.23409375
transcript.pyannote[2239].end 12905.59221875
transcript.pyannote[2240].speaker SPEAKER_04
transcript.pyannote[2240].start 12907.04346875
transcript.pyannote[2240].end 12910.14846875
transcript.pyannote[2241].speaker SPEAKER_15
transcript.pyannote[2241].start 12915.00846875
transcript.pyannote[2241].end 12916.88159375
transcript.pyannote[2242].speaker SPEAKER_15
transcript.pyannote[2242].start 12917.06721875
transcript.pyannote[2242].end 12917.99534375
transcript.pyannote[2243].speaker SPEAKER_06
transcript.pyannote[2243].start 12922.58534375
transcript.pyannote[2243].end 12923.12534375
transcript.pyannote[2244].speaker SPEAKER_06
transcript.pyannote[2244].start 12923.31096875
transcript.pyannote[2244].end 12923.32784375
transcript.pyannote[2245].speaker SPEAKER_15
transcript.pyannote[2245].start 12923.32784375
transcript.pyannote[2245].end 12965.76846875
transcript.pyannote[2246].speaker SPEAKER_06
transcript.pyannote[2246].start 12924.34034375
transcript.pyannote[2246].end 12924.88034375
transcript.pyannote[2247].speaker SPEAKER_00
transcript.pyannote[2247].start 12954.95159375
transcript.pyannote[2247].end 12955.03596875
transcript.pyannote[2248].speaker SPEAKER_44
transcript.pyannote[2248].start 12955.03596875
transcript.pyannote[2248].end 12955.59284375
transcript.pyannote[2249].speaker SPEAKER_06
transcript.pyannote[2249].start 12965.78534375
transcript.pyannote[2249].end 12967.94534375
transcript.pyannote[2250].speaker SPEAKER_06
transcript.pyannote[2250].start 12968.14784375
transcript.pyannote[2250].end 12977.00721875
transcript.pyannote[2251].speaker SPEAKER_06
transcript.pyannote[2251].start 12977.22659375
transcript.pyannote[2251].end 12978.62721875
transcript.pyannote[2252].speaker SPEAKER_06
transcript.pyannote[2252].start 12978.96471875
transcript.pyannote[2252].end 12983.60534375
transcript.pyannote[2253].speaker SPEAKER_06
transcript.pyannote[2253].start 12983.90909375
transcript.pyannote[2253].end 12997.54409375
transcript.pyannote[2254].speaker SPEAKER_06
transcript.pyannote[2254].start 12997.81409375
transcript.pyannote[2254].end 13000.98659375
transcript.pyannote[2255].speaker SPEAKER_06
transcript.pyannote[2255].start 13001.32409375
transcript.pyannote[2255].end 13007.78721875
transcript.pyannote[2256].speaker SPEAKER_06
transcript.pyannote[2256].start 13008.14159375
transcript.pyannote[2256].end 13010.72346875
transcript.pyannote[2257].speaker SPEAKER_06
transcript.pyannote[2257].start 13011.17909375
transcript.pyannote[2257].end 13014.16596875
transcript.pyannote[2258].speaker SPEAKER_06
transcript.pyannote[2258].start 13014.48659375
transcript.pyannote[2258].end 13018.57034375
transcript.pyannote[2259].speaker SPEAKER_06
transcript.pyannote[2259].start 13019.04284375
transcript.pyannote[2259].end 13031.15909375
transcript.pyannote[2260].speaker SPEAKER_15
transcript.pyannote[2260].start 13021.94534375
transcript.pyannote[2260].end 13024.64534375
transcript.pyannote[2261].speaker SPEAKER_15
transcript.pyannote[2261].start 13031.12534375
transcript.pyannote[2261].end 13059.25596875
transcript.pyannote[2262].speaker SPEAKER_06
transcript.pyannote[2262].start 13058.15909375
transcript.pyannote[2262].end 13069.34721875
transcript.pyannote[2263].speaker SPEAKER_06
transcript.pyannote[2263].start 13069.76909375
transcript.pyannote[2263].end 13071.59159375
transcript.pyannote[2264].speaker SPEAKER_06
transcript.pyannote[2264].start 13072.08096875
transcript.pyannote[2264].end 13075.11846875
transcript.pyannote[2265].speaker SPEAKER_06
transcript.pyannote[2265].start 13075.35471875
transcript.pyannote[2265].end 13084.38284375
transcript.pyannote[2266].speaker SPEAKER_06
transcript.pyannote[2266].start 13084.92284375
transcript.pyannote[2266].end 13090.17096875
transcript.pyannote[2267].speaker SPEAKER_06
transcript.pyannote[2267].start 13090.60971875
transcript.pyannote[2267].end 13093.90034375
transcript.pyannote[2268].speaker SPEAKER_06
transcript.pyannote[2268].start 13094.15346875
transcript.pyannote[2268].end 13096.16159375
transcript.pyannote[2269].speaker SPEAKER_06
transcript.pyannote[2269].start 13096.44846875
transcript.pyannote[2269].end 13102.11846875
transcript.pyannote[2270].speaker SPEAKER_06
transcript.pyannote[2270].start 13102.42221875
transcript.pyannote[2270].end 13103.53596875
transcript.pyannote[2271].speaker SPEAKER_06
transcript.pyannote[2271].start 13103.65409375
transcript.pyannote[2271].end 13105.47659375
transcript.pyannote[2272].speaker SPEAKER_06
transcript.pyannote[2272].start 13105.67909375
transcript.pyannote[2272].end 13108.98659375
transcript.pyannote[2273].speaker SPEAKER_06
transcript.pyannote[2273].start 13109.32409375
transcript.pyannote[2273].end 13111.56846875
transcript.pyannote[2274].speaker SPEAKER_06
transcript.pyannote[2274].start 13111.60221875
transcript.pyannote[2274].end 13123.58346875
transcript.pyannote[2275].speaker SPEAKER_15
transcript.pyannote[2275].start 13123.58346875
transcript.pyannote[2275].end 13148.72721875
transcript.pyannote[2276].speaker SPEAKER_15
transcript.pyannote[2276].start 13149.06471875
transcript.pyannote[2276].end 13149.08159375
transcript.pyannote[2277].speaker SPEAKER_06
transcript.pyannote[2277].start 13149.08159375
transcript.pyannote[2277].end 13149.09846875
transcript.pyannote[2278].speaker SPEAKER_15
transcript.pyannote[2278].start 13149.09846875
transcript.pyannote[2278].end 13149.11534375
transcript.pyannote[2279].speaker SPEAKER_06
transcript.pyannote[2279].start 13149.11534375
transcript.pyannote[2279].end 13149.19971875
transcript.pyannote[2280].speaker SPEAKER_15
transcript.pyannote[2280].start 13149.19971875
transcript.pyannote[2280].end 13149.50346875
transcript.pyannote[2281].speaker SPEAKER_06
transcript.pyannote[2281].start 13149.21659375
transcript.pyannote[2281].end 13153.28346875
transcript.pyannote[2282].speaker SPEAKER_15
transcript.pyannote[2282].start 13152.62534375
transcript.pyannote[2282].end 13152.64221875
transcript.pyannote[2283].speaker SPEAKER_28
transcript.pyannote[2283].start 13152.64221875
transcript.pyannote[2283].end 13159.86471875
transcript.pyannote[2284].speaker SPEAKER_28
transcript.pyannote[2284].start 13160.33721875
transcript.pyannote[2284].end 13171.77846875
transcript.pyannote[2285].speaker SPEAKER_28
transcript.pyannote[2285].start 13171.82909375
transcript.pyannote[2285].end 13178.95034375
transcript.pyannote[2286].speaker SPEAKER_28
transcript.pyannote[2286].start 13179.00096875
transcript.pyannote[2286].end 13179.08534375
transcript.pyannote[2287].speaker SPEAKER_28
transcript.pyannote[2287].start 13179.22034375
transcript.pyannote[2287].end 13182.76409375
transcript.pyannote[2288].speaker SPEAKER_28
transcript.pyannote[2288].start 13183.08471875
transcript.pyannote[2288].end 13186.89846875
transcript.pyannote[2289].speaker SPEAKER_28
transcript.pyannote[2289].start 13187.01659375
transcript.pyannote[2289].end 13193.04096875
transcript.pyannote[2290].speaker SPEAKER_28
transcript.pyannote[2290].start 13193.64846875
transcript.pyannote[2290].end 13199.99346875
transcript.pyannote[2291].speaker SPEAKER_28
transcript.pyannote[2291].start 13200.63471875
transcript.pyannote[2291].end 13219.72034375
transcript.pyannote[2292].speaker SPEAKER_28
transcript.pyannote[2292].start 13219.97346875
transcript.pyannote[2292].end 13227.68534375
transcript.pyannote[2293].speaker SPEAKER_28
transcript.pyannote[2293].start 13227.75284375
transcript.pyannote[2293].end 13240.40909375
transcript.pyannote[2294].speaker SPEAKER_15
transcript.pyannote[2294].start 13240.40909375
transcript.pyannote[2294].end 13240.71284375
transcript.pyannote[2295].speaker SPEAKER_15
transcript.pyannote[2295].start 13241.10096875
transcript.pyannote[2295].end 13283.18721875
transcript.pyannote[2296].speaker SPEAKER_06
transcript.pyannote[2296].start 13283.18721875
transcript.pyannote[2296].end 13284.50346875
transcript.pyannote[2297].speaker SPEAKER_15
transcript.pyannote[2297].start 13284.50346875
transcript.pyannote[2297].end 13284.52034375
transcript.pyannote[2298].speaker SPEAKER_28
transcript.pyannote[2298].start 13284.52034375
transcript.pyannote[2298].end 13309.66409375
transcript.pyannote[2299].speaker SPEAKER_28
transcript.pyannote[2299].start 13310.35596875
transcript.pyannote[2299].end 13314.38909375
transcript.pyannote[2300].speaker SPEAKER_28
transcript.pyannote[2300].start 13314.67596875
transcript.pyannote[2300].end 13314.99659375
transcript.pyannote[2301].speaker SPEAKER_28
transcript.pyannote[2301].start 13315.68846875
transcript.pyannote[2301].end 13317.03846875
transcript.pyannote[2302].speaker SPEAKER_15
transcript.pyannote[2302].start 13315.72221875
transcript.pyannote[2302].end 13316.05971875
transcript.pyannote[2303].speaker SPEAKER_15
transcript.pyannote[2303].start 13317.03846875
transcript.pyannote[2303].end 13318.25346875
transcript.pyannote[2304].speaker SPEAKER_44
transcript.pyannote[2304].start 13318.59096875
transcript.pyannote[2304].end 13318.62471875
transcript.pyannote[2305].speaker SPEAKER_15
transcript.pyannote[2305].start 13318.62471875
transcript.pyannote[2305].end 13318.67534375
transcript.pyannote[2306].speaker SPEAKER_44
transcript.pyannote[2306].start 13318.67534375
transcript.pyannote[2306].end 13318.72596875
transcript.pyannote[2307].speaker SPEAKER_15
transcript.pyannote[2307].start 13318.72596875
transcript.pyannote[2307].end 13341.67596875
transcript.pyannote[2308].speaker SPEAKER_28
transcript.pyannote[2308].start 13341.67596875
transcript.pyannote[2308].end 13349.92784375
transcript.pyannote[2309].speaker SPEAKER_28
transcript.pyannote[2309].start 13350.29909375
transcript.pyannote[2309].end 13351.22721875
transcript.pyannote[2310].speaker SPEAKER_28
transcript.pyannote[2310].start 13352.07096875
transcript.pyannote[2310].end 13362.66846875
transcript.pyannote[2311].speaker SPEAKER_15
transcript.pyannote[2311].start 13363.09034375
transcript.pyannote[2311].end 13365.97596875
transcript.pyannote[2312].speaker SPEAKER_28
transcript.pyannote[2312].start 13363.22534375
transcript.pyannote[2312].end 13363.66409375
transcript.pyannote[2313].speaker SPEAKER_28
transcript.pyannote[2313].start 13364.38971875
transcript.pyannote[2313].end 13364.49096875
transcript.pyannote[2314].speaker SPEAKER_28
transcript.pyannote[2314].start 13364.64284375
transcript.pyannote[2314].end 13368.01784375
transcript.pyannote[2315].speaker SPEAKER_15
transcript.pyannote[2315].start 13367.51159375
transcript.pyannote[2315].end 13382.20971875
transcript.pyannote[2316].speaker SPEAKER_15
transcript.pyannote[2316].start 13382.66534375
transcript.pyannote[2316].end 13393.33034375
transcript.pyannote[2317].speaker SPEAKER_35
transcript.pyannote[2317].start 13393.73534375
transcript.pyannote[2317].end 13397.00909375
transcript.pyannote[2318].speaker SPEAKER_24
transcript.pyannote[2318].start 13398.93284375
transcript.pyannote[2318].end 13401.27846875
transcript.pyannote[2319].speaker SPEAKER_24
transcript.pyannote[2319].start 13401.49784375
transcript.pyannote[2319].end 13403.74221875
transcript.pyannote[2320].speaker SPEAKER_24
transcript.pyannote[2320].start 13404.23159375
transcript.pyannote[2320].end 13408.02846875
transcript.pyannote[2321].speaker SPEAKER_06
transcript.pyannote[2321].start 13408.83846875
transcript.pyannote[2321].end 13415.45346875
transcript.pyannote[2322].speaker SPEAKER_06
transcript.pyannote[2322].start 13415.94284375
transcript.pyannote[2322].end 13418.25471875
transcript.pyannote[2323].speaker SPEAKER_06
transcript.pyannote[2323].start 13418.74409375
transcript.pyannote[2323].end 13423.84034375
transcript.pyannote[2324].speaker SPEAKER_15
transcript.pyannote[2324].start 13423.80659375
transcript.pyannote[2324].end 13424.14409375
transcript.pyannote[2325].speaker SPEAKER_15
transcript.pyannote[2325].start 13424.54909375
transcript.pyannote[2325].end 13428.66659375
transcript.pyannote[2326].speaker SPEAKER_06
transcript.pyannote[2326].start 13428.56534375
transcript.pyannote[2326].end 13428.58221875
transcript.pyannote[2327].speaker SPEAKER_44
transcript.pyannote[2327].start 13428.58221875
transcript.pyannote[2327].end 13429.52721875
transcript.pyannote[2328].speaker SPEAKER_15
transcript.pyannote[2328].start 13428.80159375
transcript.pyannote[2328].end 13434.60659375
transcript.pyannote[2329].speaker SPEAKER_44
transcript.pyannote[2329].start 13434.53909375
transcript.pyannote[2329].end 13434.91034375
transcript.pyannote[2330].speaker SPEAKER_15
transcript.pyannote[2330].start 13434.82596875
transcript.pyannote[2330].end 13443.80346875
transcript.pyannote[2331].speaker SPEAKER_15
transcript.pyannote[2331].start 13444.05659375
transcript.pyannote[2331].end 13445.82846875
transcript.pyannote[2332].speaker SPEAKER_06
transcript.pyannote[2332].start 13444.10721875
transcript.pyannote[2332].end 13448.88284375
transcript.pyannote[2333].speaker SPEAKER_15
transcript.pyannote[2333].start 13449.62534375
transcript.pyannote[2333].end 13450.87409375
transcript.pyannote[2334].speaker SPEAKER_06
transcript.pyannote[2334].start 13450.87409375
transcript.pyannote[2334].end 13450.99221875
transcript.pyannote[2335].speaker SPEAKER_44
transcript.pyannote[2335].start 13451.12721875
transcript.pyannote[2335].end 13451.14409375
transcript.pyannote[2336].speaker SPEAKER_35
transcript.pyannote[2336].start 13451.14409375
transcript.pyannote[2336].end 13454.89034375
transcript.pyannote[2337].speaker SPEAKER_24
transcript.pyannote[2337].start 13454.89034375
transcript.pyannote[2337].end 13459.19346875
transcript.pyannote[2338].speaker SPEAKER_15
transcript.pyannote[2338].start 13457.01659375
transcript.pyannote[2338].end 13458.14721875
transcript.pyannote[2339].speaker SPEAKER_15
transcript.pyannote[2339].start 13459.96971875
transcript.pyannote[2339].end 13470.19596875
transcript.pyannote[2340].speaker SPEAKER_06
transcript.pyannote[2340].start 13470.28034375
transcript.pyannote[2340].end 13475.14034375
transcript.pyannote[2341].speaker SPEAKER_15
transcript.pyannote[2341].start 13475.32596875
transcript.pyannote[2341].end 13479.71346875
transcript.pyannote[2342].speaker SPEAKER_15
transcript.pyannote[2342].start 13480.15221875
transcript.pyannote[2342].end 13489.06221875
transcript.pyannote[2343].speaker SPEAKER_15
transcript.pyannote[2343].start 13489.58534375
transcript.pyannote[2343].end 13494.09096875
transcript.pyannote[2344].speaker SPEAKER_15
transcript.pyannote[2344].start 13494.58034375
transcript.pyannote[2344].end 13495.44096875
transcript.pyannote[2345].speaker SPEAKER_06
transcript.pyannote[2345].start 13496.11596875
transcript.pyannote[2345].end 13503.57471875
transcript.pyannote[2346].speaker SPEAKER_06
transcript.pyannote[2346].start 13504.01346875
transcript.pyannote[2346].end 13507.11846875
transcript.pyannote[2347].speaker SPEAKER_06
transcript.pyannote[2347].start 13507.42221875
transcript.pyannote[2347].end 13527.82409375
transcript.pyannote[2348].speaker SPEAKER_15
transcript.pyannote[2348].start 13526.54159375
transcript.pyannote[2348].end 13530.67596875
transcript.pyannote[2349].speaker SPEAKER_06
transcript.pyannote[2349].start 13528.97159375
transcript.pyannote[2349].end 13537.40909375
transcript.pyannote[2350].speaker SPEAKER_15
transcript.pyannote[2350].start 13537.40909375
transcript.pyannote[2350].end 13539.02909375
transcript.pyannote[2351].speaker SPEAKER_04
transcript.pyannote[2351].start 13538.77596875
transcript.pyannote[2351].end 13538.82659375
transcript.pyannote[2352].speaker SPEAKER_06
transcript.pyannote[2352].start 13538.82659375
transcript.pyannote[2352].end 13539.11346875
transcript.pyannote[2353].speaker SPEAKER_04
transcript.pyannote[2353].start 13539.02909375
transcript.pyannote[2353].end 13539.29909375
transcript.pyannote[2354].speaker SPEAKER_15
transcript.pyannote[2354].start 13539.11346875
transcript.pyannote[2354].end 13539.16409375
transcript.pyannote[2355].speaker SPEAKER_06
transcript.pyannote[2355].start 13539.16409375
transcript.pyannote[2355].end 13539.18096875
transcript.pyannote[2356].speaker SPEAKER_04
transcript.pyannote[2356].start 13540.39596875
transcript.pyannote[2356].end 13545.07034375
transcript.pyannote[2357].speaker SPEAKER_04
transcript.pyannote[2357].start 13546.06596875
transcript.pyannote[2357].end 13547.55096875
transcript.pyannote[2358].speaker SPEAKER_04
transcript.pyannote[2358].start 13547.66909375
transcript.pyannote[2358].end 13550.31846875
transcript.pyannote[2359].speaker SPEAKER_00
transcript.pyannote[2359].start 13554.52034375
transcript.pyannote[2359].end 13560.25784375
transcript.pyannote[2360].speaker SPEAKER_00
transcript.pyannote[2360].start 13561.18596875
transcript.pyannote[2360].end 13575.90096875
transcript.pyannote[2361].speaker SPEAKER_00
transcript.pyannote[2361].start 13576.96409375
transcript.pyannote[2361].end 13587.51096875
transcript.pyannote[2362].speaker SPEAKER_00
transcript.pyannote[2362].start 13588.05096875
transcript.pyannote[2362].end 13590.02534375
transcript.pyannote[2363].speaker SPEAKER_00
transcript.pyannote[2363].start 13590.24471875
transcript.pyannote[2363].end 13608.89159375
transcript.pyannote[2364].speaker SPEAKER_00
transcript.pyannote[2364].start 13609.29659375
transcript.pyannote[2364].end 13623.65721875
transcript.pyannote[2365].speaker SPEAKER_00
transcript.pyannote[2365].start 13623.96096875
transcript.pyannote[2365].end 13631.45346875
transcript.pyannote[2366].speaker SPEAKER_00
transcript.pyannote[2366].start 13631.90909375
transcript.pyannote[2366].end 13635.72284375
transcript.pyannote[2367].speaker SPEAKER_00
transcript.pyannote[2367].start 13636.76909375
transcript.pyannote[2367].end 13654.18409375
transcript.pyannote[2368].speaker SPEAKER_00
transcript.pyannote[2368].start 13656.41159375
transcript.pyannote[2368].end 13683.78284375
transcript.pyannote[2369].speaker SPEAKER_00
transcript.pyannote[2369].start 13684.91346875
transcript.pyannote[2369].end 13696.48971875
transcript.pyannote[2370].speaker SPEAKER_00
transcript.pyannote[2370].start 13696.91159375
transcript.pyannote[2370].end 13709.44971875
transcript.pyannote[2371].speaker SPEAKER_00
transcript.pyannote[2371].start 13709.98971875
transcript.pyannote[2371].end 13717.39784375
transcript.pyannote[2372].speaker SPEAKER_04
transcript.pyannote[2372].start 13718.84909375
transcript.pyannote[2372].end 13723.55721875
transcript.pyannote[2373].speaker SPEAKER_04
transcript.pyannote[2373].start 13723.59096875
transcript.pyannote[2373].end 13732.06221875
transcript.pyannote[2374].speaker SPEAKER_44
transcript.pyannote[2374].start 13733.00721875
transcript.pyannote[2374].end 13733.37846875
transcript.pyannote[2375].speaker SPEAKER_49
transcript.pyannote[2375].start 13734.40784375
transcript.pyannote[2375].end 13735.72409375
transcript.pyannote[2376].speaker SPEAKER_49
transcript.pyannote[2376].start 13735.87596875
transcript.pyannote[2376].end 13740.02721875
transcript.pyannote[2377].speaker SPEAKER_49
transcript.pyannote[2377].start 13740.12846875
transcript.pyannote[2377].end 13742.35596875
transcript.pyannote[2378].speaker SPEAKER_49
transcript.pyannote[2378].start 13742.96346875
transcript.pyannote[2378].end 13744.00971875
transcript.pyannote[2379].speaker SPEAKER_49
transcript.pyannote[2379].start 13744.41471875
transcript.pyannote[2379].end 13746.72659375
transcript.pyannote[2380].speaker SPEAKER_49
transcript.pyannote[2380].start 13747.14846875
transcript.pyannote[2380].end 13751.56971875
transcript.pyannote[2381].speaker SPEAKER_49
transcript.pyannote[2381].start 13752.16034375
transcript.pyannote[2381].end 13755.19784375
transcript.pyannote[2382].speaker SPEAKER_49
transcript.pyannote[2382].start 13755.88971875
transcript.pyannote[2382].end 13761.27284375
transcript.pyannote[2383].speaker SPEAKER_49
transcript.pyannote[2383].start 13761.45846875
transcript.pyannote[2383].end 13774.26659375
transcript.pyannote[2384].speaker SPEAKER_49
transcript.pyannote[2384].start 13774.92471875
transcript.pyannote[2384].end 13775.43096875
transcript.pyannote[2385].speaker SPEAKER_49
transcript.pyannote[2385].start 13776.07221875
transcript.pyannote[2385].end 13779.58221875
transcript.pyannote[2386].speaker SPEAKER_49
transcript.pyannote[2386].start 13779.59909375
transcript.pyannote[2386].end 13782.33284375
transcript.pyannote[2387].speaker SPEAKER_49
transcript.pyannote[2387].start 13782.40034375
transcript.pyannote[2387].end 13783.58159375
transcript.pyannote[2388].speaker SPEAKER_49
transcript.pyannote[2388].start 13785.23534375
transcript.pyannote[2388].end 13790.83784375
transcript.pyannote[2389].speaker SPEAKER_49
transcript.pyannote[2389].start 13790.97284375
transcript.pyannote[2389].end 13792.76159375
transcript.pyannote[2390].speaker SPEAKER_49
transcript.pyannote[2390].start 13793.18346875
transcript.pyannote[2390].end 13800.47346875
transcript.pyannote[2391].speaker SPEAKER_49
transcript.pyannote[2391].start 13800.67596875
transcript.pyannote[2391].end 13801.46909375
transcript.pyannote[2392].speaker SPEAKER_04
transcript.pyannote[2392].start 13801.53659375
transcript.pyannote[2392].end 13804.20284375
transcript.pyannote[2393].speaker SPEAKER_04
transcript.pyannote[2393].start 13805.24909375
transcript.pyannote[2393].end 13805.77221875
transcript.pyannote[2394].speaker SPEAKER_39
transcript.pyannote[2394].start 13805.83971875
transcript.pyannote[2394].end 13808.37096875
transcript.pyannote[2395].speaker SPEAKER_04
transcript.pyannote[2395].start 13807.67909375
transcript.pyannote[2395].end 13809.14721875
transcript.pyannote[2396].speaker SPEAKER_39
transcript.pyannote[2396].start 13808.50596875
transcript.pyannote[2396].end 13810.39596875
transcript.pyannote[2397].speaker SPEAKER_39
transcript.pyannote[2397].start 13810.85159375
transcript.pyannote[2397].end 13818.47909375
transcript.pyannote[2398].speaker SPEAKER_39
transcript.pyannote[2398].start 13818.78284375
transcript.pyannote[2398].end 13822.76534375
transcript.pyannote[2399].speaker SPEAKER_39
transcript.pyannote[2399].start 13823.13659375
transcript.pyannote[2399].end 13827.69284375
transcript.pyannote[2400].speaker SPEAKER_39
transcript.pyannote[2400].start 13828.14846875
transcript.pyannote[2400].end 13837.04159375
transcript.pyannote[2401].speaker SPEAKER_05
transcript.pyannote[2401].start 13838.10471875
transcript.pyannote[2401].end 13839.31971875
transcript.pyannote[2402].speaker SPEAKER_49
transcript.pyannote[2402].start 13841.00721875
transcript.pyannote[2402].end 13845.29346875
transcript.pyannote[2403].speaker SPEAKER_05
transcript.pyannote[2403].start 13845.76596875
transcript.pyannote[2403].end 13846.00221875
transcript.pyannote[2404].speaker SPEAKER_04
transcript.pyannote[2404].start 13846.30596875
transcript.pyannote[2404].end 13846.33971875
transcript.pyannote[2405].speaker SPEAKER_04
transcript.pyannote[2405].start 13846.94721875
transcript.pyannote[2405].end 13853.84909375
transcript.pyannote[2406].speaker SPEAKER_04
transcript.pyannote[2406].start 13854.59159375
transcript.pyannote[2406].end 13862.62409375
transcript.pyannote[2407].speaker SPEAKER_04
transcript.pyannote[2407].start 13862.82659375
transcript.pyannote[2407].end 13864.66596875
transcript.pyannote[2408].speaker SPEAKER_02
transcript.pyannote[2408].start 13865.22284375
transcript.pyannote[2408].end 13869.64409375
transcript.pyannote[2409].speaker SPEAKER_04
transcript.pyannote[2409].start 13870.67346875
transcript.pyannote[2409].end 13873.03596875
transcript.pyannote[2410].speaker SPEAKER_04
transcript.pyannote[2410].start 13873.59284375
transcript.pyannote[2410].end 13875.02721875
transcript.pyannote[2411].speaker SPEAKER_04
transcript.pyannote[2411].start 13875.80346875
transcript.pyannote[2411].end 13876.96784375
transcript.pyannote[2412].speaker SPEAKER_02
transcript.pyannote[2412].start 13877.27159375
transcript.pyannote[2412].end 13895.85096875
transcript.pyannote[2413].speaker SPEAKER_02
transcript.pyannote[2413].start 13895.95221875
transcript.pyannote[2413].end 13896.03659375
transcript.pyannote[2414].speaker SPEAKER_02
transcript.pyannote[2414].start 13896.05346875
transcript.pyannote[2414].end 13896.59346875
transcript.pyannote[2415].speaker SPEAKER_05
transcript.pyannote[2415].start 13897.28534375
transcript.pyannote[2415].end 13897.30221875
transcript.pyannote[2416].speaker SPEAKER_04
transcript.pyannote[2416].start 13897.30221875
transcript.pyannote[2416].end 13903.66409375
transcript.pyannote[2417].speaker SPEAKER_31
transcript.pyannote[2417].start 13905.08159375
transcript.pyannote[2417].end 13939.72596875
transcript.pyannote[2418].speaker SPEAKER_04
transcript.pyannote[2418].start 13939.97909375
transcript.pyannote[2418].end 13941.63284375
transcript.pyannote[2419].speaker SPEAKER_31
transcript.pyannote[2419].start 13941.32909375
transcript.pyannote[2419].end 13942.94909375
transcript.pyannote[2420].speaker SPEAKER_04
transcript.pyannote[2420].start 13942.91534375
transcript.pyannote[2420].end 13944.94034375
transcript.pyannote[2421].speaker SPEAKER_31
transcript.pyannote[2421].start 13945.27784375
transcript.pyannote[2421].end 13946.18909375
transcript.pyannote[2422].speaker SPEAKER_04
transcript.pyannote[2422].start 13946.05409375
transcript.pyannote[2422].end 13950.08721875
transcript.pyannote[2423].speaker SPEAKER_04
transcript.pyannote[2423].start 13951.53846875
transcript.pyannote[2423].end 13954.03596875
transcript.pyannote[2424].speaker SPEAKER_04
transcript.pyannote[2424].start 13954.94721875
transcript.pyannote[2424].end 13957.54596875
transcript.pyannote[2425].speaker SPEAKER_04
transcript.pyannote[2425].start 13960.27971875
transcript.pyannote[2425].end 13960.78596875
transcript.pyannote[2426].speaker SPEAKER_05
transcript.pyannote[2426].start 13960.78596875
transcript.pyannote[2426].end 13960.95471875
transcript.pyannote[2427].speaker SPEAKER_04
transcript.pyannote[2427].start 13960.95471875
transcript.pyannote[2427].end 13960.97159375
transcript.pyannote[2428].speaker SPEAKER_05
transcript.pyannote[2428].start 13960.97159375
transcript.pyannote[2428].end 13961.08971875
transcript.pyannote[2429].speaker SPEAKER_04
transcript.pyannote[2429].start 13961.08971875
transcript.pyannote[2429].end 13961.46096875
transcript.pyannote[2430].speaker SPEAKER_05
transcript.pyannote[2430].start 13961.46096875
transcript.pyannote[2430].end 13963.01346875
transcript.pyannote[2431].speaker SPEAKER_02
transcript.pyannote[2431].start 13961.54534375
transcript.pyannote[2431].end 13981.71096875
transcript.pyannote[2432].speaker SPEAKER_05
transcript.pyannote[2432].start 13982.23409375
transcript.pyannote[2432].end 13982.79096875
transcript.pyannote[2433].speaker SPEAKER_05
transcript.pyannote[2433].start 13983.34784375
transcript.pyannote[2433].end 13985.42346875
transcript.pyannote[2434].speaker SPEAKER_13
transcript.pyannote[2434].start 13986.52034375
transcript.pyannote[2434].end 13988.08971875
transcript.pyannote[2435].speaker SPEAKER_13
transcript.pyannote[2435].start 13989.67596875
transcript.pyannote[2435].end 13990.03034375
transcript.pyannote[2436].speaker SPEAKER_13
transcript.pyannote[2436].start 13990.45221875
transcript.pyannote[2436].end 14008.30596875
transcript.pyannote[2437].speaker SPEAKER_13
transcript.pyannote[2437].start 14008.59284375
transcript.pyannote[2437].end 14028.35346875
transcript.pyannote[2438].speaker SPEAKER_04
transcript.pyannote[2438].start 14028.82596875
transcript.pyannote[2438].end 14033.38221875
transcript.pyannote[2439].speaker SPEAKER_20
transcript.pyannote[2439].start 14034.05721875
transcript.pyannote[2439].end 14063.60534375
transcript.pyannote[2440].speaker SPEAKER_04
transcript.pyannote[2440].start 14064.12846875
transcript.pyannote[2440].end 14065.52909375
transcript.pyannote[2441].speaker SPEAKER_06
transcript.pyannote[2441].start 14065.52909375
transcript.pyannote[2441].end 14072.31284375
transcript.pyannote[2442].speaker SPEAKER_06
transcript.pyannote[2442].start 14072.63346875
transcript.pyannote[2442].end 14073.66284375
transcript.pyannote[2443].speaker SPEAKER_06
transcript.pyannote[2443].start 14073.89909375
transcript.pyannote[2443].end 14077.00409375
transcript.pyannote[2444].speaker SPEAKER_06
transcript.pyannote[2444].start 14077.22346875
transcript.pyannote[2444].end 14082.75846875
transcript.pyannote[2445].speaker SPEAKER_04
transcript.pyannote[2445].start 14082.26909375
transcript.pyannote[2445].end 14082.31971875
transcript.pyannote[2446].speaker SPEAKER_44
transcript.pyannote[2446].start 14082.31971875
transcript.pyannote[2446].end 14084.05784375
transcript.pyannote[2447].speaker SPEAKER_04
transcript.pyannote[2447].start 14082.75846875
transcript.pyannote[2447].end 14082.80909375
transcript.pyannote[2448].speaker SPEAKER_04
transcript.pyannote[2448].start 14084.05784375
transcript.pyannote[2448].end 14084.69909375
transcript.pyannote[2449].speaker SPEAKER_04
transcript.pyannote[2449].start 14084.98596875
transcript.pyannote[2449].end 14086.60596875
transcript.pyannote[2450].speaker SPEAKER_04
transcript.pyannote[2450].start 14086.92659375
transcript.pyannote[2450].end 14090.62221875
transcript.pyannote[2451].speaker SPEAKER_02
transcript.pyannote[2451].start 14091.95534375
transcript.pyannote[2451].end 14116.62659375
transcript.pyannote[2452].speaker SPEAKER_02
transcript.pyannote[2452].start 14117.04846875
transcript.pyannote[2452].end 14126.14409375
transcript.pyannote[2453].speaker SPEAKER_05
transcript.pyannote[2453].start 14127.89909375
transcript.pyannote[2453].end 14130.05909375
transcript.pyannote[2454].speaker SPEAKER_02
transcript.pyannote[2454].start 14130.29534375
transcript.pyannote[2454].end 14130.31221875
transcript.pyannote[2455].speaker SPEAKER_38
transcript.pyannote[2455].start 14130.31221875
transcript.pyannote[2455].end 14161.10909375
transcript.pyannote[2456].speaker SPEAKER_05
transcript.pyannote[2456].start 14162.45909375
transcript.pyannote[2456].end 14164.01159375
transcript.pyannote[2457].speaker SPEAKER_04
transcript.pyannote[2457].start 14164.01159375
transcript.pyannote[2457].end 14165.24346875
transcript.pyannote[2458].speaker SPEAKER_05
transcript.pyannote[2458].start 14164.04534375
transcript.pyannote[2458].end 14164.07909375
transcript.pyannote[2459].speaker SPEAKER_38
transcript.pyannote[2459].start 14164.07909375
transcript.pyannote[2459].end 14165.90159375
transcript.pyannote[2460].speaker SPEAKER_04
transcript.pyannote[2460].start 14166.07034375
transcript.pyannote[2460].end 14167.67346875
transcript.pyannote[2461].speaker SPEAKER_04
transcript.pyannote[2461].start 14170.23846875
transcript.pyannote[2461].end 14172.73596875
transcript.pyannote[2462].speaker SPEAKER_04
transcript.pyannote[2462].start 14173.78221875
transcript.pyannote[2462].end 14174.69346875
transcript.pyannote[2463].speaker SPEAKER_04
transcript.pyannote[2463].start 14175.31784375
transcript.pyannote[2463].end 14177.47784375
transcript.pyannote[2464].speaker SPEAKER_04
transcript.pyannote[2464].start 14178.50721875
transcript.pyannote[2464].end 14179.45221875
transcript.pyannote[2465].speaker SPEAKER_04
transcript.pyannote[2465].start 14180.11034375
transcript.pyannote[2465].end 14181.62909375
transcript.pyannote[2466].speaker SPEAKER_04
transcript.pyannote[2466].start 14182.65846875
transcript.pyannote[2466].end 14183.48534375
transcript.pyannote[2467].speaker SPEAKER_04
transcript.pyannote[2467].start 14184.43034375
transcript.pyannote[2467].end 14187.67034375
transcript.pyannote[2468].speaker SPEAKER_04
transcript.pyannote[2468].start 14189.12159375
transcript.pyannote[2468].end 14192.54721875
transcript.pyannote[2469].speaker SPEAKER_04
transcript.pyannote[2469].start 14192.81721875
transcript.pyannote[2469].end 14194.84221875
transcript.pyannote[2470].speaker SPEAKER_04
transcript.pyannote[2470].start 14195.11221875
transcript.pyannote[2470].end 14197.66034375
transcript.pyannote[2471].speaker SPEAKER_04
transcript.pyannote[2471].start 14198.84159375
transcript.pyannote[2471].end 14199.21284375
transcript.pyannote[2472].speaker SPEAKER_04
transcript.pyannote[2472].start 14201.47409375
transcript.pyannote[2472].end 14203.81971875
transcript.pyannote[2473].speaker SPEAKER_04
transcript.pyannote[2473].start 14204.34284375
transcript.pyannote[2473].end 14205.77721875
transcript.pyannote[2474].speaker SPEAKER_04
transcript.pyannote[2474].start 14206.08096875
transcript.pyannote[2474].end 14217.47159375
transcript.pyannote[2475].speaker SPEAKER_04
transcript.pyannote[2475].start 14217.91034375
transcript.pyannote[2475].end 14220.08721875
transcript.pyannote[2476].speaker SPEAKER_04
transcript.pyannote[2476].start 14221.82534375
transcript.pyannote[2476].end 14222.14596875
transcript.pyannote[2477].speaker SPEAKER_48
transcript.pyannote[2477].start 14225.85846875
transcript.pyannote[2477].end 14228.91284375
transcript.pyannote[2478].speaker SPEAKER_04
transcript.pyannote[2478].start 14226.01034375
transcript.pyannote[2478].end 14226.83721875
transcript.pyannote[2479].speaker SPEAKER_48
transcript.pyannote[2479].start 14229.31784375
transcript.pyannote[2479].end 14231.42721875
transcript.pyannote[2480].speaker SPEAKER_04
transcript.pyannote[2480].start 14231.42721875
transcript.pyannote[2480].end 14231.46096875
transcript.pyannote[2481].speaker SPEAKER_04
transcript.pyannote[2481].start 14250.04034375
transcript.pyannote[2481].end 14250.69846875
transcript.pyannote[2482].speaker SPEAKER_04
transcript.pyannote[2482].start 14251.13721875
transcript.pyannote[2482].end 14251.15409375
transcript.pyannote[2483].speaker SPEAKER_48
transcript.pyannote[2483].start 14251.15409375
transcript.pyannote[2483].end 14251.39034375
transcript.pyannote[2484].speaker SPEAKER_04
transcript.pyannote[2484].start 14251.39034375
transcript.pyannote[2484].end 14251.40721875
transcript.pyannote[2485].speaker SPEAKER_48
transcript.pyannote[2485].start 14253.65159375
transcript.pyannote[2485].end 14254.78221875
transcript.pyannote[2486].speaker SPEAKER_48
transcript.pyannote[2486].start 14255.89596875
transcript.pyannote[2486].end 14259.25409375
transcript.pyannote[2487].speaker SPEAKER_48
transcript.pyannote[2487].start 14260.36784375
transcript.pyannote[2487].end 14262.02159375
transcript.pyannote[2488].speaker SPEAKER_48
transcript.pyannote[2488].start 14262.52784375
transcript.pyannote[2488].end 14264.45159375
transcript.pyannote[2489].speaker SPEAKER_48
transcript.pyannote[2489].start 14264.85659375
transcript.pyannote[2489].end 14266.29096875
transcript.pyannote[2490].speaker SPEAKER_48
transcript.pyannote[2490].start 14267.11784375
transcript.pyannote[2490].end 14267.42159375
transcript.pyannote[2491].speaker SPEAKER_48
transcript.pyannote[2491].start 14267.70846875
transcript.pyannote[2491].end 14271.40409375
transcript.pyannote[2492].speaker SPEAKER_48
transcript.pyannote[2492].start 14272.26471875
transcript.pyannote[2492].end 14275.48784375
transcript.pyannote[2493].speaker SPEAKER_48
transcript.pyannote[2493].start 14276.70284375
transcript.pyannote[2493].end 14278.13721875
transcript.pyannote[2494].speaker SPEAKER_48
transcript.pyannote[2494].start 14279.63909375
transcript.pyannote[2494].end 14284.71846875
transcript.pyannote[2495].speaker SPEAKER_48
transcript.pyannote[2495].start 14285.29221875
transcript.pyannote[2495].end 14287.97534375
transcript.pyannote[2496].speaker SPEAKER_48
transcript.pyannote[2496].start 14288.09346875
transcript.pyannote[2496].end 14290.06784375
transcript.pyannote[2497].speaker SPEAKER_48
transcript.pyannote[2497].start 14291.80596875
transcript.pyannote[2497].end 14300.19284375
transcript.pyannote[2498].speaker SPEAKER_48
transcript.pyannote[2498].start 14301.45846875
transcript.pyannote[2498].end 14306.52096875
transcript.pyannote[2499].speaker SPEAKER_48
transcript.pyannote[2499].start 14307.68534375
transcript.pyannote[2499].end 14310.92534375
transcript.pyannote[2500].speaker SPEAKER_48
transcript.pyannote[2500].start 14310.95909375
transcript.pyannote[2500].end 14310.97596875
transcript.pyannote[2501].speaker SPEAKER_48
transcript.pyannote[2501].start 14311.14471875
transcript.pyannote[2501].end 14314.03034375
transcript.pyannote[2502].speaker SPEAKER_48
transcript.pyannote[2502].start 14314.46909375
transcript.pyannote[2502].end 14318.50221875
transcript.pyannote[2503].speaker SPEAKER_48
transcript.pyannote[2503].start 14320.18971875
transcript.pyannote[2503].end 14327.58096875
transcript.pyannote[2504].speaker SPEAKER_48
transcript.pyannote[2504].start 14329.21784375
transcript.pyannote[2504].end 14330.19659375
transcript.pyannote[2505].speaker SPEAKER_48
transcript.pyannote[2505].start 14331.17534375
transcript.pyannote[2505].end 14338.04346875
transcript.pyannote[2506].speaker SPEAKER_48
transcript.pyannote[2506].start 14338.33034375
transcript.pyannote[2506].end 14352.57284375
transcript.pyannote[2507].speaker SPEAKER_48
transcript.pyannote[2507].start 14352.80909375
transcript.pyannote[2507].end 14355.44159375
transcript.pyannote[2508].speaker SPEAKER_48
transcript.pyannote[2508].start 14356.09971875
transcript.pyannote[2508].end 14361.41534375
transcript.pyannote[2509].speaker SPEAKER_48
transcript.pyannote[2509].start 14362.03971875
transcript.pyannote[2509].end 14363.84534375
transcript.pyannote[2510].speaker SPEAKER_48
transcript.pyannote[2510].start 14364.75659375
transcript.pyannote[2510].end 14366.02221875
transcript.pyannote[2511].speaker SPEAKER_48
transcript.pyannote[2511].start 14366.57909375
transcript.pyannote[2511].end 14374.56096875
transcript.pyannote[2512].speaker SPEAKER_48
transcript.pyannote[2512].start 14375.16846875
transcript.pyannote[2512].end 14376.45096875
transcript.pyannote[2513].speaker SPEAKER_48
transcript.pyannote[2513].start 14377.10909375
transcript.pyannote[2513].end 14382.23909375
transcript.pyannote[2514].speaker SPEAKER_48
transcript.pyannote[2514].start 14383.23471875
transcript.pyannote[2514].end 14388.60096875
transcript.pyannote[2515].speaker SPEAKER_48
transcript.pyannote[2515].start 14389.19159375
transcript.pyannote[2515].end 14399.13096875
transcript.pyannote[2516].speaker SPEAKER_48
transcript.pyannote[2516].start 14399.26596875
transcript.pyannote[2516].end 14401.45971875
transcript.pyannote[2517].speaker SPEAKER_48
transcript.pyannote[2517].start 14402.21909375
transcript.pyannote[2517].end 14412.41159375
transcript.pyannote[2518].speaker SPEAKER_48
transcript.pyannote[2518].start 14412.49596875
transcript.pyannote[2518].end 14418.65534375
transcript.pyannote[2519].speaker SPEAKER_48
transcript.pyannote[2519].start 14419.22909375
transcript.pyannote[2519].end 14424.22409375
transcript.pyannote[2520].speaker SPEAKER_48
transcript.pyannote[2520].start 14424.35909375
transcript.pyannote[2520].end 14459.34096875
transcript.pyannote[2521].speaker SPEAKER_48
transcript.pyannote[2521].start 14460.33659375
transcript.pyannote[2521].end 14475.06846875
transcript.pyannote[2522].speaker SPEAKER_48
transcript.pyannote[2522].start 14475.57471875
transcript.pyannote[2522].end 14503.51971875
transcript.pyannote[2523].speaker SPEAKER_48
transcript.pyannote[2523].start 14503.95846875
transcript.pyannote[2523].end 14511.06284375
transcript.pyannote[2524].speaker SPEAKER_48
transcript.pyannote[2524].start 14511.53534375
transcript.pyannote[2524].end 14514.01596875
transcript.pyannote[2525].speaker SPEAKER_23
transcript.pyannote[2525].start 14515.97346875
transcript.pyannote[2525].end 14530.31721875
transcript.pyannote[2526].speaker SPEAKER_48
transcript.pyannote[2526].start 14528.39346875
transcript.pyannote[2526].end 14534.45159375
transcript.pyannote[2527].speaker SPEAKER_23
transcript.pyannote[2527].start 14530.75596875
transcript.pyannote[2527].end 14532.12284375
transcript.pyannote[2528].speaker SPEAKER_44
transcript.pyannote[2528].start 14535.27846875
transcript.pyannote[2528].end 14535.85221875
transcript.pyannote[2529].speaker SPEAKER_48
transcript.pyannote[2529].start 14535.39659375
transcript.pyannote[2529].end 14544.10409375
transcript.pyannote[2530].speaker SPEAKER_23
transcript.pyannote[2530].start 14535.85221875
transcript.pyannote[2530].end 14535.86909375
transcript.pyannote[2531].speaker SPEAKER_48
transcript.pyannote[2531].start 14544.82971875
transcript.pyannote[2531].end 14552.69346875
transcript.pyannote[2532].speaker SPEAKER_23
transcript.pyannote[2532].start 14553.16596875
transcript.pyannote[2532].end 14562.51471875
transcript.pyannote[2533].speaker SPEAKER_23
transcript.pyannote[2533].start 14562.71721875
transcript.pyannote[2533].end 14569.21409375
transcript.pyannote[2534].speaker SPEAKER_48
transcript.pyannote[2534].start 14567.88096875
transcript.pyannote[2534].end 14582.61284375
transcript.pyannote[2535].speaker SPEAKER_48
transcript.pyannote[2535].start 14583.18659375
transcript.pyannote[2535].end 14597.69909375
transcript.pyannote[2536].speaker SPEAKER_44
transcript.pyannote[2536].start 14583.20346875
transcript.pyannote[2536].end 14583.96284375
transcript.pyannote[2537].speaker SPEAKER_00
transcript.pyannote[2537].start 14583.96284375
transcript.pyannote[2537].end 14584.58721875
transcript.pyannote[2538].speaker SPEAKER_48
transcript.pyannote[2538].start 14598.35721875
transcript.pyannote[2538].end 14598.88034375
transcript.pyannote[2539].speaker SPEAKER_44
transcript.pyannote[2539].start 14598.37409375
transcript.pyannote[2539].end 14599.20096875
transcript.pyannote[2540].speaker SPEAKER_48
transcript.pyannote[2540].start 14599.20096875
transcript.pyannote[2540].end 14600.78721875
transcript.pyannote[2541].speaker SPEAKER_44
transcript.pyannote[2541].start 14599.21784375
transcript.pyannote[2541].end 14600.23034375
transcript.pyannote[2542].speaker SPEAKER_48
transcript.pyannote[2542].start 14601.42846875
transcript.pyannote[2542].end 14605.44471875
transcript.pyannote[2543].speaker SPEAKER_48
transcript.pyannote[2543].start 14606.96346875
transcript.pyannote[2543].end 14608.51596875
transcript.pyannote[2544].speaker SPEAKER_48
transcript.pyannote[2544].start 14609.42721875
transcript.pyannote[2544].end 14611.01346875
transcript.pyannote[2545].speaker SPEAKER_48
transcript.pyannote[2545].start 14611.62096875
transcript.pyannote[2545].end 14613.17346875
transcript.pyannote[2546].speaker SPEAKER_48
transcript.pyannote[2546].start 14613.22409375
transcript.pyannote[2546].end 14623.14659375
transcript.pyannote[2547].speaker SPEAKER_23
transcript.pyannote[2547].start 14624.71596875
transcript.pyannote[2547].end 14626.79159375
transcript.pyannote[2548].speaker SPEAKER_48
transcript.pyannote[2548].start 14626.04909375
transcript.pyannote[2548].end 14626.87596875
transcript.pyannote[2549].speaker SPEAKER_23
transcript.pyannote[2549].start 14627.14596875
transcript.pyannote[2549].end 14629.25534375
transcript.pyannote[2550].speaker SPEAKER_23
transcript.pyannote[2550].start 14629.42409375
transcript.pyannote[2550].end 14629.77846875
transcript.pyannote[2551].speaker SPEAKER_23
transcript.pyannote[2551].start 14630.26784375
transcript.pyannote[2551].end 14630.99346875
transcript.pyannote[2552].speaker SPEAKER_23
transcript.pyannote[2552].start 14632.36034375
transcript.pyannote[2552].end 14636.91659375
transcript.pyannote[2553].speaker SPEAKER_48
transcript.pyannote[2553].start 14635.27971875
transcript.pyannote[2553].end 14642.28284375
transcript.pyannote[2554].speaker SPEAKER_23
transcript.pyannote[2554].start 14643.85221875
transcript.pyannote[2554].end 14648.71221875
transcript.pyannote[2555].speaker SPEAKER_48
transcript.pyannote[2555].start 14647.24409375
transcript.pyannote[2555].end 14650.61909375
transcript.pyannote[2556].speaker SPEAKER_48
transcript.pyannote[2556].start 14650.99034375
transcript.pyannote[2556].end 14662.75221875
transcript.pyannote[2557].speaker SPEAKER_23
transcript.pyannote[2557].start 14651.00721875
transcript.pyannote[2557].end 14651.46284375
transcript.pyannote[2558].speaker SPEAKER_48
transcript.pyannote[2558].start 14662.95471875
transcript.pyannote[2558].end 14670.68346875
transcript.pyannote[2559].speaker SPEAKER_48
transcript.pyannote[2559].start 14673.65346875
transcript.pyannote[2559].end 14686.00596875
transcript.pyannote[2560].speaker SPEAKER_48
transcript.pyannote[2560].start 14686.86659375
transcript.pyannote[2560].end 14688.01409375
transcript.pyannote[2561].speaker SPEAKER_04
transcript.pyannote[2561].start 14689.85346875
transcript.pyannote[2561].end 14690.66346875
transcript.pyannote[2562].speaker SPEAKER_06
transcript.pyannote[2562].start 14695.42221875
transcript.pyannote[2562].end 14696.11409375
transcript.pyannote[2563].speaker SPEAKER_48
transcript.pyannote[2563].start 14696.11409375
transcript.pyannote[2563].end 14697.46409375
transcript.pyannote[2564].speaker SPEAKER_06
transcript.pyannote[2564].start 14697.41346875
transcript.pyannote[2564].end 14697.80159375
transcript.pyannote[2565].speaker SPEAKER_48
transcript.pyannote[2565].start 14697.93659375
transcript.pyannote[2565].end 14702.49284375
transcript.pyannote[2566].speaker SPEAKER_06
transcript.pyannote[2566].start 14704.28159375
transcript.pyannote[2566].end 14708.71971875
transcript.pyannote[2567].speaker SPEAKER_06
transcript.pyannote[2567].start 14709.17534375
transcript.pyannote[2567].end 14710.84596875
transcript.pyannote[2568].speaker SPEAKER_48
transcript.pyannote[2568].start 14711.55471875
transcript.pyannote[2568].end 14712.82034375
transcript.pyannote[2569].speaker SPEAKER_06
transcript.pyannote[2569].start 14712.82034375
transcript.pyannote[2569].end 14714.05221875
transcript.pyannote[2570].speaker SPEAKER_48
transcript.pyannote[2570].start 14714.05221875
transcript.pyannote[2570].end 14720.19471875
transcript.pyannote[2571].speaker SPEAKER_48
transcript.pyannote[2571].start 14720.58284375
transcript.pyannote[2571].end 14721.71346875
transcript.pyannote[2572].speaker SPEAKER_48
transcript.pyannote[2572].start 14722.10159375
transcript.pyannote[2572].end 14724.86909375
transcript.pyannote[2573].speaker SPEAKER_06
transcript.pyannote[2573].start 14725.10534375
transcript.pyannote[2573].end 14725.22346875
transcript.pyannote[2574].speaker SPEAKER_06
transcript.pyannote[2574].start 14725.39221875
transcript.pyannote[2574].end 14726.64096875
transcript.pyannote[2575].speaker SPEAKER_48
transcript.pyannote[2575].start 14726.77596875
transcript.pyannote[2575].end 14728.44659375
transcript.pyannote[2576].speaker SPEAKER_06
transcript.pyannote[2576].start 14728.44659375
transcript.pyannote[2576].end 14728.54784375
transcript.pyannote[2577].speaker SPEAKER_48
transcript.pyannote[2577].start 14728.75034375
transcript.pyannote[2577].end 14732.32784375
transcript.pyannote[2578].speaker SPEAKER_48
transcript.pyannote[2578].start 14732.74971875
transcript.pyannote[2578].end 14739.76971875
transcript.pyannote[2579].speaker SPEAKER_06
transcript.pyannote[2579].start 14739.83721875
transcript.pyannote[2579].end 14740.56284375
transcript.pyannote[2580].speaker SPEAKER_48
transcript.pyannote[2580].start 14740.63034375
transcript.pyannote[2580].end 14757.87659375
transcript.pyannote[2581].speaker SPEAKER_44
transcript.pyannote[2581].start 14757.82596875
transcript.pyannote[2581].end 14758.48409375
transcript.pyannote[2582].speaker SPEAKER_48
transcript.pyannote[2582].start 14758.36596875
transcript.pyannote[2582].end 14760.74534375
transcript.pyannote[2583].speaker SPEAKER_48
transcript.pyannote[2583].start 14761.18409375
transcript.pyannote[2583].end 14763.69846875
transcript.pyannote[2584].speaker SPEAKER_48
transcript.pyannote[2584].start 14764.25534375
transcript.pyannote[2584].end 14766.19596875
transcript.pyannote[2585].speaker SPEAKER_48
transcript.pyannote[2585].start 14766.70221875
transcript.pyannote[2585].end 14767.17471875
transcript.pyannote[2586].speaker SPEAKER_48
transcript.pyannote[2586].start 14767.36034375
transcript.pyannote[2586].end 14768.01846875
transcript.pyannote[2587].speaker SPEAKER_48
transcript.pyannote[2587].start 14768.42346875
transcript.pyannote[2587].end 14773.14846875
transcript.pyannote[2588].speaker SPEAKER_48
transcript.pyannote[2588].start 14773.28346875
transcript.pyannote[2588].end 14775.91596875
transcript.pyannote[2589].speaker SPEAKER_48
transcript.pyannote[2589].start 14776.48971875
transcript.pyannote[2589].end 14779.05471875
transcript.pyannote[2590].speaker SPEAKER_48
transcript.pyannote[2590].start 14779.39221875
transcript.pyannote[2590].end 14782.19346875
transcript.pyannote[2591].speaker SPEAKER_44
transcript.pyannote[2591].start 14782.24409375
transcript.pyannote[2591].end 14782.54784375
transcript.pyannote[2592].speaker SPEAKER_48
transcript.pyannote[2592].start 14782.54784375
transcript.pyannote[2592].end 14791.89659375
transcript.pyannote[2593].speaker SPEAKER_48
transcript.pyannote[2593].start 14792.18346875
transcript.pyannote[2593].end 14795.13659375
transcript.pyannote[2594].speaker SPEAKER_48
transcript.pyannote[2594].start 14796.23346875
transcript.pyannote[2594].end 14796.57096875
transcript.pyannote[2595].speaker SPEAKER_48
transcript.pyannote[2595].start 14797.60034375
transcript.pyannote[2595].end 14809.00784375
transcript.pyannote[2596].speaker SPEAKER_48
transcript.pyannote[2596].start 14809.76721875
transcript.pyannote[2596].end 14810.35784375
transcript.pyannote[2597].speaker SPEAKER_48
transcript.pyannote[2597].start 14811.38721875
transcript.pyannote[2597].end 14814.52596875
transcript.pyannote[2598].speaker SPEAKER_06
transcript.pyannote[2598].start 14815.69034375
transcript.pyannote[2598].end 14819.89221875
transcript.pyannote[2599].speaker SPEAKER_48
transcript.pyannote[2599].start 14820.21284375
transcript.pyannote[2599].end 14825.62971875
transcript.pyannote[2600].speaker SPEAKER_48
transcript.pyannote[2600].start 14826.32159375
transcript.pyannote[2600].end 14830.40534375
transcript.pyannote[2601].speaker SPEAKER_48
transcript.pyannote[2601].start 14830.87784375
transcript.pyannote[2601].end 14832.76784375
transcript.pyannote[2602].speaker SPEAKER_48
transcript.pyannote[2602].start 14833.27409375
transcript.pyannote[2602].end 14842.36971875
transcript.pyannote[2603].speaker SPEAKER_06
transcript.pyannote[2603].start 14843.04471875
transcript.pyannote[2603].end 14847.09471875
transcript.pyannote[2604].speaker SPEAKER_06
transcript.pyannote[2604].start 14847.33096875
transcript.pyannote[2604].end 14849.47409375
transcript.pyannote[2605].speaker SPEAKER_06
transcript.pyannote[2605].start 14849.84534375
transcript.pyannote[2605].end 14853.94596875
transcript.pyannote[2606].speaker SPEAKER_06
transcript.pyannote[2606].start 14854.40159375
transcript.pyannote[2606].end 14860.10534375
transcript.pyannote[2607].speaker SPEAKER_06
transcript.pyannote[2607].start 14860.79721875
transcript.pyannote[2607].end 14864.12159375
transcript.pyannote[2608].speaker SPEAKER_35
transcript.pyannote[2608].start 14860.86471875
transcript.pyannote[2608].end 14861.28659375
transcript.pyannote[2609].speaker SPEAKER_00
transcript.pyannote[2609].start 14861.28659375
transcript.pyannote[2609].end 14861.30346875
transcript.pyannote[2610].speaker SPEAKER_06
transcript.pyannote[2610].start 14864.71221875
transcript.pyannote[2610].end 14865.80909375
transcript.pyannote[2611].speaker SPEAKER_06
transcript.pyannote[2611].start 14865.87659375
transcript.pyannote[2611].end 14868.00284375
transcript.pyannote[2612].speaker SPEAKER_06
transcript.pyannote[2612].start 14868.44159375
transcript.pyannote[2612].end 14872.17096875
transcript.pyannote[2613].speaker SPEAKER_06
transcript.pyannote[2613].start 14872.62659375
transcript.pyannote[2613].end 14877.16596875
transcript.pyannote[2614].speaker SPEAKER_48
transcript.pyannote[2614].start 14874.46596875
transcript.pyannote[2614].end 14875.02284375
transcript.pyannote[2615].speaker SPEAKER_48
transcript.pyannote[2615].start 14876.40659375
transcript.pyannote[2615].end 14888.35409375
transcript.pyannote[2616].speaker SPEAKER_48
transcript.pyannote[2616].start 14889.07971875
transcript.pyannote[2616].end 14898.54659375
transcript.pyannote[2617].speaker SPEAKER_48
transcript.pyannote[2617].start 14899.13721875
transcript.pyannote[2617].end 14901.56721875
transcript.pyannote[2618].speaker SPEAKER_44
transcript.pyannote[2618].start 14902.07346875
transcript.pyannote[2618].end 14902.27596875
transcript.pyannote[2619].speaker SPEAKER_48
transcript.pyannote[2619].start 14903.01846875
transcript.pyannote[2619].end 14905.26284375
transcript.pyannote[2620].speaker SPEAKER_48
transcript.pyannote[2620].start 14907.23721875
transcript.pyannote[2620].end 14912.77221875
transcript.pyannote[2621].speaker SPEAKER_48
transcript.pyannote[2621].start 14912.97471875
transcript.pyannote[2621].end 14920.65284375
transcript.pyannote[2622].speaker SPEAKER_48
transcript.pyannote[2622].start 14920.93971875
transcript.pyannote[2622].end 14921.83409375
transcript.pyannote[2623].speaker SPEAKER_48
transcript.pyannote[2623].start 14922.10409375
transcript.pyannote[2623].end 14938.18596875
transcript.pyannote[2624].speaker SPEAKER_48
transcript.pyannote[2624].start 14938.69221875
transcript.pyannote[2624].end 14940.29534375
transcript.pyannote[2625].speaker SPEAKER_48
transcript.pyannote[2625].start 14941.32471875
transcript.pyannote[2625].end 14942.99534375
transcript.pyannote[2626].speaker SPEAKER_06
transcript.pyannote[2626].start 14943.18096875
transcript.pyannote[2626].end 14944.96971875
transcript.pyannote[2627].speaker SPEAKER_06
transcript.pyannote[2627].start 14945.34096875
transcript.pyannote[2627].end 14951.78721875
transcript.pyannote[2628].speaker SPEAKER_06
transcript.pyannote[2628].start 14952.07409375
transcript.pyannote[2628].end 14955.14534375
transcript.pyannote[2629].speaker SPEAKER_06
transcript.pyannote[2629].start 14955.78659375
transcript.pyannote[2629].end 14959.83659375
transcript.pyannote[2630].speaker SPEAKER_06
transcript.pyannote[2630].start 14960.15721875
transcript.pyannote[2630].end 14961.77721875
transcript.pyannote[2631].speaker SPEAKER_06
transcript.pyannote[2631].start 14961.82784375
transcript.pyannote[2631].end 14964.17346875
transcript.pyannote[2632].speaker SPEAKER_48
transcript.pyannote[2632].start 14964.49409375
transcript.pyannote[2632].end 14971.39596875
transcript.pyannote[2633].speaker SPEAKER_48
transcript.pyannote[2633].start 14971.76721875
transcript.pyannote[2633].end 14973.62346875
transcript.pyannote[2634].speaker SPEAKER_48
transcript.pyannote[2634].start 14974.09596875
transcript.pyannote[2634].end 14989.18221875
transcript.pyannote[2635].speaker SPEAKER_48
transcript.pyannote[2635].start 14989.48596875
transcript.pyannote[2635].end 14991.86534375
transcript.pyannote[2636].speaker SPEAKER_48
transcript.pyannote[2636].start 14992.25346875
transcript.pyannote[2636].end 15016.26659375
transcript.pyannote[2637].speaker SPEAKER_48
transcript.pyannote[2637].start 15016.50284375
transcript.pyannote[2637].end 15020.90721875
transcript.pyannote[2638].speaker SPEAKER_48
transcript.pyannote[2638].start 15021.93659375
transcript.pyannote[2638].end 15041.14034375
transcript.pyannote[2639].speaker SPEAKER_35
transcript.pyannote[2639].start 15041.14034375
transcript.pyannote[2639].end 15042.62534375
transcript.pyannote[2640].speaker SPEAKER_48
transcript.pyannote[2640].start 15041.39346875
transcript.pyannote[2640].end 15046.99596875
transcript.pyannote[2641].speaker SPEAKER_48
transcript.pyannote[2641].start 15047.06346875
transcript.pyannote[2641].end 15051.83909375
transcript.pyannote[2642].speaker SPEAKER_06
transcript.pyannote[2642].start 15051.95721875
transcript.pyannote[2642].end 15055.68659375
transcript.pyannote[2643].speaker SPEAKER_48
transcript.pyannote[2643].start 15054.94409375
transcript.pyannote[2643].end 15059.80409375
transcript.pyannote[2644].speaker SPEAKER_06
transcript.pyannote[2644].start 15057.18846875
transcript.pyannote[2644].end 15058.43721875
transcript.pyannote[2645].speaker SPEAKER_04
transcript.pyannote[2645].start 15058.43721875
transcript.pyannote[2645].end 15058.79159375
transcript.pyannote[2646].speaker SPEAKER_06
transcript.pyannote[2646].start 15058.79159375
transcript.pyannote[2646].end 15058.82534375
transcript.pyannote[2647].speaker SPEAKER_04
transcript.pyannote[2647].start 15059.92221875
transcript.pyannote[2647].end 15060.91784375
transcript.pyannote[2648].speaker SPEAKER_04
transcript.pyannote[2648].start 15061.32284375
transcript.pyannote[2648].end 15068.32596875
transcript.pyannote[2649].speaker SPEAKER_04
transcript.pyannote[2649].start 15068.74784375
transcript.pyannote[2649].end 15071.80221875
transcript.pyannote[2650].speaker SPEAKER_26
transcript.pyannote[2650].start 15077.37096875
transcript.pyannote[2650].end 15079.85159375
transcript.pyannote[2651].speaker SPEAKER_26
transcript.pyannote[2651].start 15085.13346875
transcript.pyannote[2651].end 15094.33034375
transcript.pyannote[2652].speaker SPEAKER_26
transcript.pyannote[2652].start 15094.56659375
transcript.pyannote[2652].end 15095.08971875
transcript.pyannote[2653].speaker SPEAKER_06
transcript.pyannote[2653].start 15094.60034375
transcript.pyannote[2653].end 15097.01346875
transcript.pyannote[2654].speaker SPEAKER_26
transcript.pyannote[2654].start 15096.81096875
transcript.pyannote[2654].end 15096.99659375
transcript.pyannote[2655].speaker SPEAKER_26
transcript.pyannote[2655].start 15097.01346875
transcript.pyannote[2655].end 15114.25971875
transcript.pyannote[2656].speaker SPEAKER_26
transcript.pyannote[2656].start 15114.88409375
transcript.pyannote[2656].end 15119.50784375
transcript.pyannote[2657].speaker SPEAKER_06
transcript.pyannote[2657].start 15119.91284375
transcript.pyannote[2657].end 15125.14409375
transcript.pyannote[2658].speaker SPEAKER_44
transcript.pyannote[2658].start 15125.14409375
transcript.pyannote[2658].end 15125.16096875
transcript.pyannote[2659].speaker SPEAKER_26
transcript.pyannote[2659].start 15125.16096875
transcript.pyannote[2659].end 15125.31284375
transcript.pyannote[2660].speaker SPEAKER_44
transcript.pyannote[2660].start 15125.31284375
transcript.pyannote[2660].end 15125.43096875
transcript.pyannote[2661].speaker SPEAKER_26
transcript.pyannote[2661].start 15125.43096875
transcript.pyannote[2661].end 15125.51534375
transcript.pyannote[2662].speaker SPEAKER_44
transcript.pyannote[2662].start 15125.51534375
transcript.pyannote[2662].end 15125.53221875
transcript.pyannote[2663].speaker SPEAKER_06
transcript.pyannote[2663].start 15125.53221875
transcript.pyannote[2663].end 15129.14346875
transcript.pyannote[2664].speaker SPEAKER_06
transcript.pyannote[2664].start 15129.70034375
transcript.pyannote[2664].end 15130.88159375
transcript.pyannote[2665].speaker SPEAKER_06
transcript.pyannote[2665].start 15131.42159375
transcript.pyannote[2665].end 15133.39596875
transcript.pyannote[2666].speaker SPEAKER_06
transcript.pyannote[2666].start 15133.61534375
transcript.pyannote[2666].end 15134.83034375
transcript.pyannote[2667].speaker SPEAKER_26
transcript.pyannote[2667].start 15134.25659375
transcript.pyannote[2667].end 15135.25221875
transcript.pyannote[2668].speaker SPEAKER_26
transcript.pyannote[2668].start 15135.42096875
transcript.pyannote[2668].end 15138.40784375
transcript.pyannote[2669].speaker SPEAKER_06
transcript.pyannote[2669].start 15136.41659375
transcript.pyannote[2669].end 15137.81721875
transcript.pyannote[2670].speaker SPEAKER_06
transcript.pyannote[2670].start 15137.95221875
transcript.pyannote[2670].end 15138.67784375
transcript.pyannote[2671].speaker SPEAKER_06
transcript.pyannote[2671].start 15138.96471875
transcript.pyannote[2671].end 15139.11659375
transcript.pyannote[2672].speaker SPEAKER_26
transcript.pyannote[2672].start 15139.80846875
transcript.pyannote[2672].end 15143.08221875
transcript.pyannote[2673].speaker SPEAKER_06
transcript.pyannote[2673].start 15143.08221875
transcript.pyannote[2673].end 15146.76096875
transcript.pyannote[2674].speaker SPEAKER_26
transcript.pyannote[2674].start 15144.58409375
transcript.pyannote[2674].end 15146.71034375
transcript.pyannote[2675].speaker SPEAKER_06
transcript.pyannote[2675].start 15146.99721875
transcript.pyannote[2675].end 15157.78034375
transcript.pyannote[2676].speaker SPEAKER_26
transcript.pyannote[2676].start 15149.10659375
transcript.pyannote[2676].end 15149.49471875
transcript.pyannote[2677].speaker SPEAKER_26
transcript.pyannote[2677].start 15157.69596875
transcript.pyannote[2677].end 15160.69971875
transcript.pyannote[2678].speaker SPEAKER_24
transcript.pyannote[2678].start 15162.43784375
transcript.pyannote[2678].end 15163.01159375
transcript.pyannote[2679].speaker SPEAKER_26
transcript.pyannote[2679].start 15162.91034375
transcript.pyannote[2679].end 15164.54721875
transcript.pyannote[2680].speaker SPEAKER_24
transcript.pyannote[2680].start 15164.66534375
transcript.pyannote[2680].end 15167.19659375
transcript.pyannote[2681].speaker SPEAKER_26
transcript.pyannote[2681].start 15167.21346875
transcript.pyannote[2681].end 15184.32471875
transcript.pyannote[2682].speaker SPEAKER_06
transcript.pyannote[2682].start 15185.65784375
transcript.pyannote[2682].end 15188.47596875
transcript.pyannote[2683].speaker SPEAKER_06
transcript.pyannote[2683].start 15188.56034375
transcript.pyannote[2683].end 15191.44596875
transcript.pyannote[2684].speaker SPEAKER_26
transcript.pyannote[2684].start 15190.06221875
transcript.pyannote[2684].end 15193.58909375
transcript.pyannote[2685].speaker SPEAKER_06
transcript.pyannote[2685].start 15193.16721875
transcript.pyannote[2685].end 15193.18409375
transcript.pyannote[2686].speaker SPEAKER_24
transcript.pyannote[2686].start 15193.18409375
transcript.pyannote[2686].end 15200.06909375
transcript.pyannote[2687].speaker SPEAKER_06
transcript.pyannote[2687].start 15193.58909375
transcript.pyannote[2687].end 15193.60596875
transcript.pyannote[2688].speaker SPEAKER_06
transcript.pyannote[2688].start 15199.64721875
transcript.pyannote[2688].end 15203.27534375
transcript.pyannote[2689].speaker SPEAKER_06
transcript.pyannote[2689].start 15203.68034375
transcript.pyannote[2689].end 15212.47221875
transcript.pyannote[2690].speaker SPEAKER_26
transcript.pyannote[2690].start 15212.57346875
transcript.pyannote[2690].end 15213.04596875
transcript.pyannote[2691].speaker SPEAKER_26
transcript.pyannote[2691].start 15213.18096875
transcript.pyannote[2691].end 15245.51346875
transcript.pyannote[2692].speaker SPEAKER_06
transcript.pyannote[2692].start 15245.61471875
transcript.pyannote[2692].end 15247.99409375
transcript.pyannote[2693].speaker SPEAKER_26
transcript.pyannote[2693].start 15246.20534375
transcript.pyannote[2693].end 15246.52596875
transcript.pyannote[2694].speaker SPEAKER_26
transcript.pyannote[2694].start 15247.67346875
transcript.pyannote[2694].end 15250.05284375
transcript.pyannote[2695].speaker SPEAKER_06
transcript.pyannote[2695].start 15250.05284375
transcript.pyannote[2695].end 15250.22159375
transcript.pyannote[2696].speaker SPEAKER_26
transcript.pyannote[2696].start 15250.22159375
transcript.pyannote[2696].end 15254.92971875
transcript.pyannote[2697].speaker SPEAKER_06
transcript.pyannote[2697].start 15250.23846875
transcript.pyannote[2697].end 15250.27221875
transcript.pyannote[2698].speaker SPEAKER_26
transcript.pyannote[2698].start 15255.36846875
transcript.pyannote[2698].end 15255.85784375
transcript.pyannote[2699].speaker SPEAKER_26
transcript.pyannote[2699].start 15256.48221875
transcript.pyannote[2699].end 15256.90409375
transcript.pyannote[2700].speaker SPEAKER_26
transcript.pyannote[2700].start 15257.49471875
transcript.pyannote[2700].end 15259.40159375
transcript.pyannote[2701].speaker SPEAKER_26
transcript.pyannote[2701].start 15260.19471875
transcript.pyannote[2701].end 15261.20721875
transcript.pyannote[2702].speaker SPEAKER_06
transcript.pyannote[2702].start 15260.88659375
transcript.pyannote[2702].end 15267.97409375
transcript.pyannote[2703].speaker SPEAKER_26
transcript.pyannote[2703].start 15266.79284375
transcript.pyannote[2703].end 15267.92346875
transcript.pyannote[2704].speaker SPEAKER_26
transcript.pyannote[2704].start 15267.97409375
transcript.pyannote[2704].end 15267.99096875
transcript.pyannote[2705].speaker SPEAKER_06
transcript.pyannote[2705].start 15267.99096875
transcript.pyannote[2705].end 15268.02471875
transcript.pyannote[2706].speaker SPEAKER_26
transcript.pyannote[2706].start 15268.02471875
transcript.pyannote[2706].end 15268.04159375
transcript.pyannote[2707].speaker SPEAKER_06
transcript.pyannote[2707].start 15268.04159375
transcript.pyannote[2707].end 15269.42534375
transcript.pyannote[2708].speaker SPEAKER_26
transcript.pyannote[2708].start 15269.42534375
transcript.pyannote[2708].end 15272.39534375
transcript.pyannote[2709].speaker SPEAKER_06
transcript.pyannote[2709].start 15269.49284375
transcript.pyannote[2709].end 15269.99909375
transcript.pyannote[2710].speaker SPEAKER_06
transcript.pyannote[2710].start 15270.08346875
transcript.pyannote[2710].end 15271.18034375
transcript.pyannote[2711].speaker SPEAKER_06
transcript.pyannote[2711].start 15272.39534375
transcript.pyannote[2711].end 15273.10409375
transcript.pyannote[2712].speaker SPEAKER_26
transcript.pyannote[2712].start 15273.10409375
transcript.pyannote[2712].end 15282.48659375
transcript.pyannote[2713].speaker SPEAKER_26
transcript.pyannote[2713].start 15283.80284375
transcript.pyannote[2713].end 15298.38284375
transcript.pyannote[2714].speaker SPEAKER_26
transcript.pyannote[2714].start 15298.70346875
transcript.pyannote[2714].end 15301.13346875
transcript.pyannote[2715].speaker SPEAKER_26
transcript.pyannote[2715].start 15301.42034375
transcript.pyannote[2715].end 15303.79971875
transcript.pyannote[2716].speaker SPEAKER_26
transcript.pyannote[2716].start 15304.28909375
transcript.pyannote[2716].end 15306.02721875
transcript.pyannote[2717].speaker SPEAKER_26
transcript.pyannote[2717].start 15306.61784375
transcript.pyannote[2717].end 15317.29971875
transcript.pyannote[2718].speaker SPEAKER_26
transcript.pyannote[2718].start 15318.56534375
transcript.pyannote[2718].end 15321.97409375
transcript.pyannote[2719].speaker SPEAKER_26
transcript.pyannote[2719].start 15322.59846875
transcript.pyannote[2719].end 15323.81346875
transcript.pyannote[2720].speaker SPEAKER_26
transcript.pyannote[2720].start 15324.92721875
transcript.pyannote[2720].end 15327.93096875
transcript.pyannote[2721].speaker SPEAKER_06
transcript.pyannote[2721].start 15329.39909375
transcript.pyannote[2721].end 15338.73096875
transcript.pyannote[2722].speaker SPEAKER_26
transcript.pyannote[2722].start 15338.73096875
transcript.pyannote[2722].end 15342.02159375
transcript.pyannote[2723].speaker SPEAKER_26
transcript.pyannote[2723].start 15342.71346875
transcript.pyannote[2723].end 15343.25346875
transcript.pyannote[2724].speaker SPEAKER_06
transcript.pyannote[2724].start 15343.60784375
transcript.pyannote[2724].end 15343.65846875
transcript.pyannote[2725].speaker SPEAKER_26
transcript.pyannote[2725].start 15343.65846875
transcript.pyannote[2725].end 15345.51471875
transcript.pyannote[2726].speaker SPEAKER_06
transcript.pyannote[2726].start 15343.67534375
transcript.pyannote[2726].end 15343.70909375
transcript.pyannote[2727].speaker SPEAKER_06
transcript.pyannote[2727].start 15346.30784375
transcript.pyannote[2727].end 15347.23596875
transcript.pyannote[2728].speaker SPEAKER_26
transcript.pyannote[2728].start 15346.61159375
transcript.pyannote[2728].end 15348.85596875
transcript.pyannote[2729].speaker SPEAKER_06
transcript.pyannote[2729].start 15350.25659375
transcript.pyannote[2729].end 15356.43284375
transcript.pyannote[2730].speaker SPEAKER_26
transcript.pyannote[2730].start 15355.25159375
transcript.pyannote[2730].end 15356.55096875
transcript.pyannote[2731].speaker SPEAKER_26
transcript.pyannote[2731].start 15357.49596875
transcript.pyannote[2731].end 15358.93034375
transcript.pyannote[2732].speaker SPEAKER_26
transcript.pyannote[2732].start 15359.35221875
transcript.pyannote[2732].end 15362.82846875
transcript.pyannote[2733].speaker SPEAKER_26
transcript.pyannote[2733].start 15364.29659375
transcript.pyannote[2733].end 15366.67596875
transcript.pyannote[2734].speaker SPEAKER_26
transcript.pyannote[2734].start 15367.08096875
transcript.pyannote[2734].end 15368.63346875
transcript.pyannote[2735].speaker SPEAKER_26
transcript.pyannote[2735].start 15369.15659375
transcript.pyannote[2735].end 15369.61221875
transcript.pyannote[2736].speaker SPEAKER_26
transcript.pyannote[2736].start 15370.37159375
transcript.pyannote[2736].end 15370.65846875
transcript.pyannote[2737].speaker SPEAKER_26
transcript.pyannote[2737].start 15371.19846875
transcript.pyannote[2737].end 15373.29096875
transcript.pyannote[2738].speaker SPEAKER_26
transcript.pyannote[2738].start 15373.78034375
transcript.pyannote[2738].end 15377.10471875
transcript.pyannote[2739].speaker SPEAKER_26
transcript.pyannote[2739].start 15377.25659375
transcript.pyannote[2739].end 15380.71596875
transcript.pyannote[2740].speaker SPEAKER_26
transcript.pyannote[2740].start 15381.28971875
transcript.pyannote[2740].end 15383.24721875
transcript.pyannote[2741].speaker SPEAKER_26
transcript.pyannote[2741].start 15384.61409375
transcript.pyannote[2741].end 15386.79096875
transcript.pyannote[2742].speaker SPEAKER_06
transcript.pyannote[2742].start 15386.79096875
transcript.pyannote[2742].end 15386.87534375
transcript.pyannote[2743].speaker SPEAKER_26
transcript.pyannote[2743].start 15386.87534375
transcript.pyannote[2743].end 15386.94284375
transcript.pyannote[2744].speaker SPEAKER_06
transcript.pyannote[2744].start 15386.94284375
transcript.pyannote[2744].end 15387.06096875
transcript.pyannote[2745].speaker SPEAKER_06
transcript.pyannote[2745].start 15387.21284375
transcript.pyannote[2745].end 15390.31784375
transcript.pyannote[2746].speaker SPEAKER_06
transcript.pyannote[2746].start 15390.50346875
transcript.pyannote[2746].end 15401.91096875
transcript.pyannote[2747].speaker SPEAKER_26
transcript.pyannote[2747].start 15401.48909375
transcript.pyannote[2747].end 15409.33596875
transcript.pyannote[2748].speaker SPEAKER_06
transcript.pyannote[2748].start 15408.74534375
transcript.pyannote[2748].end 15414.11159375
transcript.pyannote[2749].speaker SPEAKER_26
transcript.pyannote[2749].start 15415.24221875
transcript.pyannote[2749].end 15417.50346875
transcript.pyannote[2750].speaker SPEAKER_06
transcript.pyannote[2750].start 15418.31346875
transcript.pyannote[2750].end 15419.81534375
transcript.pyannote[2751].speaker SPEAKER_26
transcript.pyannote[2751].start 15418.73534375
transcript.pyannote[2751].end 15428.94471875
transcript.pyannote[2752].speaker SPEAKER_06
transcript.pyannote[2752].start 15430.27784375
transcript.pyannote[2752].end 15439.40721875
transcript.pyannote[2753].speaker SPEAKER_26
transcript.pyannote[2753].start 15437.90534375
transcript.pyannote[2753].end 15442.12409375
transcript.pyannote[2754].speaker SPEAKER_06
transcript.pyannote[2754].start 15439.50846875
transcript.pyannote[2754].end 15439.81221875
transcript.pyannote[2755].speaker SPEAKER_26
transcript.pyannote[2755].start 15442.46159375
transcript.pyannote[2755].end 15454.20659375
transcript.pyannote[2756].speaker SPEAKER_26
transcript.pyannote[2756].start 15454.79721875
transcript.pyannote[2756].end 15456.77159375
transcript.pyannote[2757].speaker SPEAKER_16
transcript.pyannote[2757].start 15457.63221875
transcript.pyannote[2757].end 15465.29346875
transcript.pyannote[2758].speaker SPEAKER_26
transcript.pyannote[2758].start 15463.21784375
transcript.pyannote[2758].end 15464.06159375
transcript.pyannote[2759].speaker SPEAKER_26
transcript.pyannote[2759].start 15465.29346875
transcript.pyannote[2759].end 15466.08659375
transcript.pyannote[2760].speaker SPEAKER_16
transcript.pyannote[2760].start 15466.08659375
transcript.pyannote[2760].end 15466.15409375
transcript.pyannote[2761].speaker SPEAKER_26
transcript.pyannote[2761].start 15467.01471875
transcript.pyannote[2761].end 15467.43659375
transcript.pyannote[2762].speaker SPEAKER_26
transcript.pyannote[2762].start 15468.04409375
transcript.pyannote[2762].end 15468.92159375
transcript.pyannote[2763].speaker SPEAKER_16
transcript.pyannote[2763].start 15468.92159375
transcript.pyannote[2763].end 15470.81159375
transcript.pyannote[2764].speaker SPEAKER_26
transcript.pyannote[2764].start 15469.61346875
transcript.pyannote[2764].end 15470.44034375
transcript.pyannote[2765].speaker SPEAKER_16
transcript.pyannote[2765].start 15471.48659375
transcript.pyannote[2765].end 15476.29596875
transcript.pyannote[2766].speaker SPEAKER_06
transcript.pyannote[2766].start 15475.78971875
transcript.pyannote[2766].end 15486.31971875
transcript.pyannote[2767].speaker SPEAKER_44
transcript.pyannote[2767].start 15486.31971875
transcript.pyannote[2767].end 15486.38721875
transcript.pyannote[2768].speaker SPEAKER_06
transcript.pyannote[2768].start 15486.38721875
transcript.pyannote[2768].end 15486.43784375
transcript.pyannote[2769].speaker SPEAKER_44
transcript.pyannote[2769].start 15486.43784375
transcript.pyannote[2769].end 15486.48846875
transcript.pyannote[2770].speaker SPEAKER_06
transcript.pyannote[2770].start 15486.48846875
transcript.pyannote[2770].end 15488.36159375
transcript.pyannote[2771].speaker SPEAKER_26
transcript.pyannote[2771].start 15488.36159375
transcript.pyannote[2771].end 15488.41221875
transcript.pyannote[2772].speaker SPEAKER_26
transcript.pyannote[2772].start 15489.74534375
transcript.pyannote[2772].end 15491.66909375
transcript.pyannote[2773].speaker SPEAKER_26
transcript.pyannote[2773].start 15492.24284375
transcript.pyannote[2773].end 15499.88721875
transcript.pyannote[2774].speaker SPEAKER_06
transcript.pyannote[2774].start 15499.68471875
transcript.pyannote[2774].end 15510.78846875
transcript.pyannote[2775].speaker SPEAKER_26
transcript.pyannote[2775].start 15510.78846875
transcript.pyannote[2775].end 15510.83909375
transcript.pyannote[2776].speaker SPEAKER_06
transcript.pyannote[2776].start 15510.83909375
transcript.pyannote[2776].end 15510.87284375
transcript.pyannote[2777].speaker SPEAKER_26
transcript.pyannote[2777].start 15510.87284375
transcript.pyannote[2777].end 15513.21846875
transcript.pyannote[2778].speaker SPEAKER_06
transcript.pyannote[2778].start 15514.02846875
transcript.pyannote[2778].end 15515.64846875
transcript.pyannote[2779].speaker SPEAKER_26
transcript.pyannote[2779].start 15515.14221875
transcript.pyannote[2779].end 15517.15034375
transcript.pyannote[2780].speaker SPEAKER_26
transcript.pyannote[2780].start 15521.03159375
transcript.pyannote[2780].end 15524.05221875
transcript.pyannote[2781].speaker SPEAKER_26
transcript.pyannote[2781].start 15525.09846875
transcript.pyannote[2781].end 15529.24971875
transcript.pyannote[2782].speaker SPEAKER_26
transcript.pyannote[2782].start 15530.11034375
transcript.pyannote[2782].end 15535.30784375
transcript.pyannote[2783].speaker SPEAKER_26
transcript.pyannote[2783].start 15536.28659375
transcript.pyannote[2783].end 15551.20409375
transcript.pyannote[2784].speaker SPEAKER_26
transcript.pyannote[2784].start 15551.86221875
transcript.pyannote[2784].end 15557.29596875
transcript.pyannote[2785].speaker SPEAKER_26
transcript.pyannote[2785].start 15557.76846875
transcript.pyannote[2785].end 15562.51034375
transcript.pyannote[2786].speaker SPEAKER_26
transcript.pyannote[2786].start 15563.18534375
transcript.pyannote[2786].end 15573.20909375
transcript.pyannote[2787].speaker SPEAKER_26
transcript.pyannote[2787].start 15574.45784375
transcript.pyannote[2787].end 15580.07721875
transcript.pyannote[2788].speaker SPEAKER_26
transcript.pyannote[2788].start 15580.87034375
transcript.pyannote[2788].end 15581.35971875
transcript.pyannote[2789].speaker SPEAKER_26
transcript.pyannote[2789].start 15581.83221875
transcript.pyannote[2789].end 15583.97534375
transcript.pyannote[2790].speaker SPEAKER_26
transcript.pyannote[2790].start 15584.27909375
transcript.pyannote[2790].end 15586.13534375
transcript.pyannote[2791].speaker SPEAKER_06
transcript.pyannote[2791].start 15586.13534375
transcript.pyannote[2791].end 15586.62471875
transcript.pyannote[2792].speaker SPEAKER_26
transcript.pyannote[2792].start 15586.62471875
transcript.pyannote[2792].end 15587.16471875
transcript.pyannote[2793].speaker SPEAKER_06
transcript.pyannote[2793].start 15587.16471875
transcript.pyannote[2793].end 15587.73846875
transcript.pyannote[2794].speaker SPEAKER_26
transcript.pyannote[2794].start 15587.63721875
transcript.pyannote[2794].end 15594.64034375
transcript.pyannote[2795].speaker SPEAKER_26
transcript.pyannote[2795].start 15595.31534375
transcript.pyannote[2795].end 15595.88909375
transcript.pyannote[2796].speaker SPEAKER_26
transcript.pyannote[2796].start 15596.36159375
transcript.pyannote[2796].end 15601.55909375
transcript.pyannote[2797].speaker SPEAKER_06
transcript.pyannote[2797].start 15601.84596875
transcript.pyannote[2797].end 15607.87034375
transcript.pyannote[2798].speaker SPEAKER_26
transcript.pyannote[2798].start 15602.58846875
transcript.pyannote[2798].end 15603.66846875
transcript.pyannote[2799].speaker SPEAKER_26
transcript.pyannote[2799].start 15607.87034375
transcript.pyannote[2799].end 15614.75534375
transcript.pyannote[2800].speaker SPEAKER_06
transcript.pyannote[2800].start 15607.97159375
transcript.pyannote[2800].end 15608.51159375
transcript.pyannote[2801].speaker SPEAKER_26
transcript.pyannote[2801].start 15614.89034375
transcript.pyannote[2801].end 15616.03784375
transcript.pyannote[2802].speaker SPEAKER_06
transcript.pyannote[2802].start 15616.03784375
transcript.pyannote[2802].end 15629.09909375
transcript.pyannote[2803].speaker SPEAKER_06
transcript.pyannote[2803].start 15629.14971875
transcript.pyannote[2803].end 15634.38096875
transcript.pyannote[2804].speaker SPEAKER_06
transcript.pyannote[2804].start 15634.81971875
transcript.pyannote[2804].end 15639.81471875
transcript.pyannote[2805].speaker SPEAKER_26
transcript.pyannote[2805].start 15638.65034375
transcript.pyannote[2805].end 15651.23909375
transcript.pyannote[2806].speaker SPEAKER_26
transcript.pyannote[2806].start 15651.61034375
transcript.pyannote[2806].end 15652.87596875
transcript.pyannote[2807].speaker SPEAKER_26
transcript.pyannote[2807].start 15654.22596875
transcript.pyannote[2807].end 15655.12034375
transcript.pyannote[2808].speaker SPEAKER_26
transcript.pyannote[2808].start 15655.39034375
transcript.pyannote[2808].end 15663.94596875
transcript.pyannote[2809].speaker SPEAKER_26
transcript.pyannote[2809].start 15664.97534375
transcript.pyannote[2809].end 15676.43346875
transcript.pyannote[2810].speaker SPEAKER_06
transcript.pyannote[2810].start 15677.47971875
transcript.pyannote[2810].end 15678.82971875
transcript.pyannote[2811].speaker SPEAKER_26
transcript.pyannote[2811].start 15678.82971875
transcript.pyannote[2811].end 15681.86721875
transcript.pyannote[2812].speaker SPEAKER_06
transcript.pyannote[2812].start 15679.01534375
transcript.pyannote[2812].end 15679.43721875
transcript.pyannote[2813].speaker SPEAKER_26
transcript.pyannote[2813].start 15682.62659375
transcript.pyannote[2813].end 15683.63909375
transcript.pyannote[2814].speaker SPEAKER_26
transcript.pyannote[2814].start 15684.29721875
transcript.pyannote[2814].end 15685.95096875
transcript.pyannote[2815].speaker SPEAKER_26
transcript.pyannote[2815].start 15686.65971875
transcript.pyannote[2815].end 15688.95471875
transcript.pyannote[2816].speaker SPEAKER_26
transcript.pyannote[2816].start 15689.29221875
transcript.pyannote[2816].end 15691.94159375
transcript.pyannote[2817].speaker SPEAKER_26
transcript.pyannote[2817].start 15692.73471875
transcript.pyannote[2817].end 15695.51909375
transcript.pyannote[2818].speaker SPEAKER_26
transcript.pyannote[2818].start 15697.20659375
transcript.pyannote[2818].end 15700.58159375
transcript.pyannote[2819].speaker SPEAKER_26
transcript.pyannote[2819].start 15701.39159375
transcript.pyannote[2819].end 15706.01534375
transcript.pyannote[2820].speaker SPEAKER_26
transcript.pyannote[2820].start 15706.92659375
transcript.pyannote[2820].end 15718.60409375
transcript.pyannote[2821].speaker SPEAKER_26
transcript.pyannote[2821].start 15718.97534375
transcript.pyannote[2821].end 15726.95721875
transcript.pyannote[2822].speaker SPEAKER_06
transcript.pyannote[2822].start 15727.19346875
transcript.pyannote[2822].end 15732.72846875
transcript.pyannote[2823].speaker SPEAKER_04
transcript.pyannote[2823].start 15729.33659375
transcript.pyannote[2823].end 15729.42096875
transcript.pyannote[2824].speaker SPEAKER_26
transcript.pyannote[2824].start 15729.42096875
transcript.pyannote[2824].end 15729.50534375
transcript.pyannote[2825].speaker SPEAKER_04
transcript.pyannote[2825].start 15729.50534375
transcript.pyannote[2825].end 15729.62346875
transcript.pyannote[2826].speaker SPEAKER_26
transcript.pyannote[2826].start 15729.62346875
transcript.pyannote[2826].end 15730.02846875
transcript.pyannote[2827].speaker SPEAKER_04
transcript.pyannote[2827].start 15730.02846875
transcript.pyannote[2827].end 15730.12971875
transcript.pyannote[2828].speaker SPEAKER_26
transcript.pyannote[2828].start 15730.12971875
transcript.pyannote[2828].end 15730.58534375
transcript.pyannote[2829].speaker SPEAKER_04
transcript.pyannote[2829].start 15730.58534375
transcript.pyannote[2829].end 15730.60221875
transcript.pyannote[2830].speaker SPEAKER_06
transcript.pyannote[2830].start 15732.89721875
transcript.pyannote[2830].end 15736.93034375
transcript.pyannote[2831].speaker SPEAKER_04
transcript.pyannote[2831].start 15734.77034375
transcript.pyannote[2831].end 15739.27596875
transcript.pyannote[2832].speaker SPEAKER_04
transcript.pyannote[2832].start 15741.52034375
transcript.pyannote[2832].end 15745.28346875
transcript.pyannote[2833].speaker SPEAKER_04
transcript.pyannote[2833].start 15746.09346875
transcript.pyannote[2833].end 15748.23659375
transcript.pyannote[2834].speaker SPEAKER_04
transcript.pyannote[2834].start 15748.52346875
transcript.pyannote[2834].end 15750.17721875
transcript.pyannote[2835].speaker SPEAKER_44
transcript.pyannote[2835].start 15763.96409375
transcript.pyannote[2835].end 15764.03159375
transcript.pyannote[2836].speaker SPEAKER_44
transcript.pyannote[2836].start 15765.97221875
transcript.pyannote[2836].end 15766.19159375
transcript.pyannote[2837].speaker SPEAKER_44
transcript.pyannote[2837].start 15766.20846875
transcript.pyannote[2837].end 15766.24221875
transcript.pyannote[2838].speaker SPEAKER_44
transcript.pyannote[2838].start 15769.24596875
transcript.pyannote[2838].end 15769.43159375
transcript.pyannote[2839].speaker SPEAKER_37
transcript.pyannote[2839].start 15835.36221875
transcript.pyannote[2839].end 15835.44659375
transcript.pyannote[2840].speaker SPEAKER_37
transcript.pyannote[2840].start 15835.58159375
transcript.pyannote[2840].end 15836.66159375
transcript.pyannote[2841].speaker SPEAKER_09
transcript.pyannote[2841].start 15926.57159375
transcript.pyannote[2841].end 15926.68971875
transcript.pyannote[2842].speaker SPEAKER_09
transcript.pyannote[2842].start 15927.80346875
transcript.pyannote[2842].end 15928.02284375
transcript.pyannote[2843].speaker SPEAKER_44
transcript.pyannote[2843].start 15928.02284375
transcript.pyannote[2843].end 15928.29284375
transcript.pyannote[2844].speaker SPEAKER_23
transcript.pyannote[2844].start 15935.12721875
transcript.pyannote[2844].end 15936.08909375
transcript.pyannote[2845].speaker SPEAKER_23
transcript.pyannote[2845].start 15936.24096875
transcript.pyannote[2845].end 15937.87784375
transcript.pyannote[2846].speaker SPEAKER_23
transcript.pyannote[2846].start 15938.80596875
transcript.pyannote[2846].end 15939.53159375
transcript.pyannote[2847].speaker SPEAKER_44
transcript.pyannote[2847].start 15939.53159375
transcript.pyannote[2847].end 15939.97034375
transcript.pyannote[2848].speaker SPEAKER_23
transcript.pyannote[2848].start 15939.61596875
transcript.pyannote[2848].end 15939.76784375
transcript.pyannote[2849].speaker SPEAKER_23
transcript.pyannote[2849].start 15939.97034375
transcript.pyannote[2849].end 15942.41721875
transcript.pyannote[2850].speaker SPEAKER_44
transcript.pyannote[2850].start 15942.41721875
transcript.pyannote[2850].end 15942.61971875
transcript.pyannote[2851].speaker SPEAKER_44
transcript.pyannote[2851].start 15943.05846875
transcript.pyannote[2851].end 15943.42971875
transcript.pyannote[2852].speaker SPEAKER_44
transcript.pyannote[2852].start 15943.59846875
transcript.pyannote[2852].end 15943.80096875
transcript.pyannote[2853].speaker SPEAKER_35
transcript.pyannote[2853].start 16052.89784375
transcript.pyannote[2853].end 16053.40409375
transcript.pyannote[2854].speaker SPEAKER_25
transcript.pyannote[2854].start 16053.60659375
transcript.pyannote[2854].end 16053.64034375
transcript.pyannote[2855].speaker SPEAKER_35
transcript.pyannote[2855].start 16053.64034375
transcript.pyannote[2855].end 16053.70784375
transcript.pyannote[2856].speaker SPEAKER_25
transcript.pyannote[2856].start 16053.70784375
transcript.pyannote[2856].end 16053.97784375
transcript.pyannote[2857].speaker SPEAKER_35
transcript.pyannote[2857].start 16053.97784375
transcript.pyannote[2857].end 16053.99471875
transcript.pyannote[2858].speaker SPEAKER_26
transcript.pyannote[2858].start 16054.55159375
transcript.pyannote[2858].end 16055.19284375
transcript.pyannote[2859].speaker SPEAKER_44
transcript.pyannote[2859].start 16055.19284375
transcript.pyannote[2859].end 16055.68221875
transcript.pyannote[2860].speaker SPEAKER_26
transcript.pyannote[2860].start 16055.68221875
transcript.pyannote[2860].end 16055.69909375
transcript.pyannote[2861].speaker SPEAKER_26
transcript.pyannote[2861].start 16056.35721875
transcript.pyannote[2861].end 16056.40784375
transcript.pyannote[2862].speaker SPEAKER_26
transcript.pyannote[2862].start 16056.42471875
transcript.pyannote[2862].end 16059.59721875
transcript.pyannote[2863].speaker SPEAKER_08
transcript.pyannote[2863].start 16091.40659375
transcript.pyannote[2863].end 16091.47409375
transcript.pyannote[2864].speaker SPEAKER_44
transcript.pyannote[2864].start 16091.47409375
transcript.pyannote[2864].end 16094.64659375
transcript.pyannote[2865].speaker SPEAKER_08
transcript.pyannote[2865].start 16093.53284375
transcript.pyannote[2865].end 16094.95034375
transcript.pyannote[2866].speaker SPEAKER_44
transcript.pyannote[2866].start 16094.95034375
transcript.pyannote[2866].end 16095.05159375
transcript.pyannote[2867].speaker SPEAKER_08
transcript.pyannote[2867].start 16095.05159375
transcript.pyannote[2867].end 16099.03409375
transcript.pyannote[2868].speaker SPEAKER_24
transcript.pyannote[2868].start 16099.03409375
transcript.pyannote[2868].end 16102.96596875
transcript.pyannote[2869].speaker SPEAKER_34
transcript.pyannote[2869].start 16102.96596875
transcript.pyannote[2869].end 16103.11784375
transcript.pyannote[2870].speaker SPEAKER_34
transcript.pyannote[2870].start 16103.42159375
transcript.pyannote[2870].end 16104.19784375
transcript.pyannote[2871].speaker SPEAKER_04
transcript.pyannote[2871].start 18023.88096875
transcript.pyannote[2871].end 18025.73721875
transcript.pyannote[2872].speaker SPEAKER_04
transcript.pyannote[2872].start 18026.17596875
transcript.pyannote[2872].end 18029.70284375
transcript.pyannote[2873].speaker SPEAKER_04
transcript.pyannote[2873].start 18034.41096875
transcript.pyannote[2873].end 18035.59221875
transcript.pyannote[2874].speaker SPEAKER_29
transcript.pyannote[2874].start 18037.14471875
transcript.pyannote[2874].end 18042.37596875
transcript.pyannote[2875].speaker SPEAKER_29
transcript.pyannote[2875].start 18042.66284375
transcript.pyannote[2875].end 18049.27784375
transcript.pyannote[2876].speaker SPEAKER_06
transcript.pyannote[2876].start 18047.50596875
transcript.pyannote[2876].end 18047.69159375
transcript.pyannote[2877].speaker SPEAKER_29
transcript.pyannote[2877].start 18050.12159375
transcript.pyannote[2877].end 18050.89784375
transcript.pyannote[2878].speaker SPEAKER_29
transcript.pyannote[2878].start 18051.20159375
transcript.pyannote[2878].end 18053.44596875
transcript.pyannote[2879].speaker SPEAKER_06
transcript.pyannote[2879].start 18053.41221875
transcript.pyannote[2879].end 18053.64846875
transcript.pyannote[2880].speaker SPEAKER_29
transcript.pyannote[2880].start 18053.64846875
transcript.pyannote[2880].end 18055.90971875
transcript.pyannote[2881].speaker SPEAKER_06
transcript.pyannote[2881].start 18053.74971875
transcript.pyannote[2881].end 18054.86346875
transcript.pyannote[2882].speaker SPEAKER_06
transcript.pyannote[2882].start 18056.83784375
transcript.pyannote[2882].end 18056.92221875
transcript.pyannote[2883].speaker SPEAKER_29
transcript.pyannote[2883].start 18056.92221875
transcript.pyannote[2883].end 18056.93909375
transcript.pyannote[2884].speaker SPEAKER_06
transcript.pyannote[2884].start 18057.71534375
transcript.pyannote[2884].end 18057.73221875
transcript.pyannote[2885].speaker SPEAKER_29
transcript.pyannote[2885].start 18057.73221875
transcript.pyannote[2885].end 18058.59284375
transcript.pyannote[2886].speaker SPEAKER_29
transcript.pyannote[2886].start 18058.81221875
transcript.pyannote[2886].end 18060.29721875
transcript.pyannote[2887].speaker SPEAKER_29
transcript.pyannote[2887].start 18060.34784375
transcript.pyannote[2887].end 18065.54534375
transcript.pyannote[2888].speaker SPEAKER_29
transcript.pyannote[2888].start 18065.69721875
transcript.pyannote[2888].end 18072.59909375
transcript.pyannote[2889].speaker SPEAKER_29
transcript.pyannote[2889].start 18073.07159375
transcript.pyannote[2889].end 18074.82659375
transcript.pyannote[2890].speaker SPEAKER_29
transcript.pyannote[2890].start 18075.29909375
transcript.pyannote[2890].end 18076.73346875
transcript.pyannote[2891].speaker SPEAKER_29
transcript.pyannote[2891].start 18077.15534375
transcript.pyannote[2891].end 18077.84721875
transcript.pyannote[2892].speaker SPEAKER_29
transcript.pyannote[2892].start 18078.69096875
transcript.pyannote[2892].end 18079.04534375
transcript.pyannote[2893].speaker SPEAKER_29
transcript.pyannote[2893].start 18079.23096875
transcript.pyannote[2893].end 18083.14596875
transcript.pyannote[2894].speaker SPEAKER_29
transcript.pyannote[2894].start 18083.16284375
transcript.pyannote[2894].end 18085.20471875
transcript.pyannote[2895].speaker SPEAKER_29
transcript.pyannote[2895].start 18085.55909375
transcript.pyannote[2895].end 18087.02721875
transcript.pyannote[2896].speaker SPEAKER_29
transcript.pyannote[2896].start 18087.44909375
transcript.pyannote[2896].end 18094.26659375
transcript.pyannote[2897].speaker SPEAKER_06
transcript.pyannote[2897].start 18095.31284375
transcript.pyannote[2897].end 18099.97034375
transcript.pyannote[2898].speaker SPEAKER_29
transcript.pyannote[2898].start 18099.97034375
transcript.pyannote[2898].end 18102.67034375
transcript.pyannote[2899].speaker SPEAKER_06
transcript.pyannote[2899].start 18103.75034375
transcript.pyannote[2899].end 18103.76721875
transcript.pyannote[2900].speaker SPEAKER_29
transcript.pyannote[2900].start 18103.76721875
transcript.pyannote[2900].end 18103.80096875
transcript.pyannote[2901].speaker SPEAKER_06
transcript.pyannote[2901].start 18103.80096875
transcript.pyannote[2901].end 18103.96971875
transcript.pyannote[2902].speaker SPEAKER_29
transcript.pyannote[2902].start 18103.96971875
transcript.pyannote[2902].end 18104.39159375
transcript.pyannote[2903].speaker SPEAKER_06
transcript.pyannote[2903].start 18104.39159375
transcript.pyannote[2903].end 18105.70784375
transcript.pyannote[2904].speaker SPEAKER_29
transcript.pyannote[2904].start 18105.70784375
transcript.pyannote[2904].end 18110.14596875
transcript.pyannote[2905].speaker SPEAKER_29
transcript.pyannote[2905].start 18110.55096875
transcript.pyannote[2905].end 18111.51284375
transcript.pyannote[2906].speaker SPEAKER_06
transcript.pyannote[2906].start 18112.52534375
transcript.pyannote[2906].end 18112.74471875
transcript.pyannote[2907].speaker SPEAKER_29
transcript.pyannote[2907].start 18113.21721875
transcript.pyannote[2907].end 18115.41096875
transcript.pyannote[2908].speaker SPEAKER_29
transcript.pyannote[2908].start 18115.91721875
transcript.pyannote[2908].end 18123.19034375
transcript.pyannote[2909].speaker SPEAKER_29
transcript.pyannote[2909].start 18123.34221875
transcript.pyannote[2909].end 18125.02971875
transcript.pyannote[2910].speaker SPEAKER_06
transcript.pyannote[2910].start 18125.11409375
transcript.pyannote[2910].end 18125.55284375
transcript.pyannote[2911].speaker SPEAKER_29
transcript.pyannote[2911].start 18125.55284375
transcript.pyannote[2911].end 18126.37971875
transcript.pyannote[2912].speaker SPEAKER_29
transcript.pyannote[2912].start 18126.85221875
transcript.pyannote[2912].end 18128.32034375
transcript.pyannote[2913].speaker SPEAKER_29
transcript.pyannote[2913].start 18128.87721875
transcript.pyannote[2913].end 18130.04159375
transcript.pyannote[2914].speaker SPEAKER_29
transcript.pyannote[2914].start 18130.15971875
transcript.pyannote[2914].end 18131.07096875
transcript.pyannote[2915].speaker SPEAKER_29
transcript.pyannote[2915].start 18131.44221875
transcript.pyannote[2915].end 18131.69534375
transcript.pyannote[2916].speaker SPEAKER_29
transcript.pyannote[2916].start 18132.04971875
transcript.pyannote[2916].end 18132.64034375
transcript.pyannote[2917].speaker SPEAKER_29
transcript.pyannote[2917].start 18133.73721875
transcript.pyannote[2917].end 18134.76659375
transcript.pyannote[2918].speaker SPEAKER_29
transcript.pyannote[2918].start 18135.03659375
transcript.pyannote[2918].end 18139.37346875
transcript.pyannote[2919].speaker SPEAKER_29
transcript.pyannote[2919].start 18139.77846875
transcript.pyannote[2919].end 18140.55471875
transcript.pyannote[2920].speaker SPEAKER_29
transcript.pyannote[2920].start 18141.17909375
transcript.pyannote[2920].end 18142.86659375
transcript.pyannote[2921].speaker SPEAKER_29
transcript.pyannote[2921].start 18143.18721875
transcript.pyannote[2921].end 18143.89596875
transcript.pyannote[2922].speaker SPEAKER_29
transcript.pyannote[2922].start 18143.98034375
transcript.pyannote[2922].end 18145.76909375
transcript.pyannote[2923].speaker SPEAKER_29
transcript.pyannote[2923].start 18146.19096875
transcript.pyannote[2923].end 18147.57471875
transcript.pyannote[2924].speaker SPEAKER_29
transcript.pyannote[2924].start 18148.18221875
transcript.pyannote[2924].end 18152.35034375
transcript.pyannote[2925].speaker SPEAKER_29
transcript.pyannote[2925].start 18152.85659375
transcript.pyannote[2925].end 18154.00409375
transcript.pyannote[2926].speaker SPEAKER_29
transcript.pyannote[2926].start 18154.39221875
transcript.pyannote[2926].end 18157.69971875
transcript.pyannote[2927].speaker SPEAKER_29
transcript.pyannote[2927].start 18157.91909375
transcript.pyannote[2927].end 18161.36159375
transcript.pyannote[2928].speaker SPEAKER_29
transcript.pyannote[2928].start 18161.58096875
transcript.pyannote[2928].end 18163.16721875
transcript.pyannote[2929].speaker SPEAKER_06
transcript.pyannote[2929].start 18164.28096875
transcript.pyannote[2929].end 18165.39471875
transcript.pyannote[2930].speaker SPEAKER_29
transcript.pyannote[2930].start 18165.39471875
transcript.pyannote[2930].end 18169.07346875
transcript.pyannote[2931].speaker SPEAKER_29
transcript.pyannote[2931].start 18169.61346875
transcript.pyannote[2931].end 18174.15284375
transcript.pyannote[2932].speaker SPEAKER_29
transcript.pyannote[2932].start 18174.22034375
transcript.pyannote[2932].end 18176.80221875
transcript.pyannote[2933].speaker SPEAKER_29
transcript.pyannote[2933].start 18177.15659375
transcript.pyannote[2933].end 18178.70909375
transcript.pyannote[2934].speaker SPEAKER_29
transcript.pyannote[2934].start 18179.48534375
transcript.pyannote[2934].end 18180.19409375
transcript.pyannote[2935].speaker SPEAKER_29
transcript.pyannote[2935].start 18181.24034375
transcript.pyannote[2935].end 18182.33721875
transcript.pyannote[2936].speaker SPEAKER_29
transcript.pyannote[2936].start 18182.38784375
transcript.pyannote[2936].end 18182.91096875
transcript.pyannote[2937].speaker SPEAKER_29
transcript.pyannote[2937].start 18183.46784375
transcript.pyannote[2937].end 18184.21034375
transcript.pyannote[2938].speaker SPEAKER_29
transcript.pyannote[2938].start 18184.54784375
transcript.pyannote[2938].end 18186.84284375
transcript.pyannote[2939].speaker SPEAKER_29
transcript.pyannote[2939].start 18187.28159375
transcript.pyannote[2939].end 18188.53034375
transcript.pyannote[2940].speaker SPEAKER_29
transcript.pyannote[2940].start 18188.98596875
transcript.pyannote[2940].end 18190.42034375
transcript.pyannote[2941].speaker SPEAKER_29
transcript.pyannote[2941].start 18191.51721875
transcript.pyannote[2941].end 18192.88409375
transcript.pyannote[2942].speaker SPEAKER_06
transcript.pyannote[2942].start 18192.88409375
transcript.pyannote[2942].end 18192.91784375
transcript.pyannote[2943].speaker SPEAKER_29
transcript.pyannote[2943].start 18192.91784375
transcript.pyannote[2943].end 18192.95159375
transcript.pyannote[2944].speaker SPEAKER_06
transcript.pyannote[2944].start 18192.95159375
transcript.pyannote[2944].end 18193.12034375
transcript.pyannote[2945].speaker SPEAKER_29
transcript.pyannote[2945].start 18193.12034375
transcript.pyannote[2945].end 18197.54159375
transcript.pyannote[2946].speaker SPEAKER_29
transcript.pyannote[2946].start 18198.57096875
transcript.pyannote[2946].end 18199.16159375
transcript.pyannote[2947].speaker SPEAKER_29
transcript.pyannote[2947].start 18199.48221875
transcript.pyannote[2947].end 18201.11909375
transcript.pyannote[2948].speaker SPEAKER_29
transcript.pyannote[2948].start 18201.62534375
transcript.pyannote[2948].end 18205.75971875
transcript.pyannote[2949].speaker SPEAKER_29
transcript.pyannote[2949].start 18206.18159375
transcript.pyannote[2949].end 18207.31221875
transcript.pyannote[2950].speaker SPEAKER_29
transcript.pyannote[2950].start 18208.74659375
transcript.pyannote[2950].end 18208.76346875
transcript.pyannote[2951].speaker SPEAKER_06
transcript.pyannote[2951].start 18208.76346875
transcript.pyannote[2951].end 18208.79721875
transcript.pyannote[2952].speaker SPEAKER_29
transcript.pyannote[2952].start 18208.79721875
transcript.pyannote[2952].end 18209.03346875
transcript.pyannote[2953].speaker SPEAKER_06
transcript.pyannote[2953].start 18209.03346875
transcript.pyannote[2953].end 18209.97846875
transcript.pyannote[2954].speaker SPEAKER_29
transcript.pyannote[2954].start 18209.97846875
transcript.pyannote[2954].end 18210.58596875
transcript.pyannote[2955].speaker SPEAKER_06
transcript.pyannote[2955].start 18210.58596875
transcript.pyannote[2955].end 18211.14284375
transcript.pyannote[2956].speaker SPEAKER_29
transcript.pyannote[2956].start 18211.14284375
transcript.pyannote[2956].end 18213.96096875
transcript.pyannote[2957].speaker SPEAKER_06
transcript.pyannote[2957].start 18211.42971875
transcript.pyannote[2957].end 18211.96971875
transcript.pyannote[2958].speaker SPEAKER_29
transcript.pyannote[2958].start 18214.09596875
transcript.pyannote[2958].end 18218.33159375
transcript.pyannote[2959].speaker SPEAKER_29
transcript.pyannote[2959].start 18218.77034375
transcript.pyannote[2959].end 18219.51284375
transcript.pyannote[2960].speaker SPEAKER_29
transcript.pyannote[2960].start 18220.15409375
transcript.pyannote[2960].end 18222.71909375
transcript.pyannote[2961].speaker SPEAKER_29
transcript.pyannote[2961].start 18223.20846875
transcript.pyannote[2961].end 18223.73159375
transcript.pyannote[2962].speaker SPEAKER_29
transcript.pyannote[2962].start 18224.22096875
transcript.pyannote[2962].end 18229.78971875
transcript.pyannote[2963].speaker SPEAKER_29
transcript.pyannote[2963].start 18230.17784375
transcript.pyannote[2963].end 18233.63721875
transcript.pyannote[2964].speaker SPEAKER_29
transcript.pyannote[2964].start 18234.59909375
transcript.pyannote[2964].end 18235.62846875
transcript.pyannote[2965].speaker SPEAKER_29
transcript.pyannote[2965].start 18235.96596875
transcript.pyannote[2965].end 18238.81784375
transcript.pyannote[2966].speaker SPEAKER_29
transcript.pyannote[2966].start 18239.99909375
transcript.pyannote[2966].end 18240.65721875
transcript.pyannote[2967].speaker SPEAKER_29
transcript.pyannote[2967].start 18240.75846875
transcript.pyannote[2967].end 18241.63596875
transcript.pyannote[2968].speaker SPEAKER_29
transcript.pyannote[2968].start 18242.04096875
transcript.pyannote[2968].end 18244.38659375
transcript.pyannote[2969].speaker SPEAKER_06
transcript.pyannote[2969].start 18244.79159375
transcript.pyannote[2969].end 18245.24721875
transcript.pyannote[2970].speaker SPEAKER_29
transcript.pyannote[2970].start 18245.24721875
transcript.pyannote[2970].end 18245.26409375
transcript.pyannote[2971].speaker SPEAKER_29
transcript.pyannote[2971].start 18245.36534375
transcript.pyannote[2971].end 18245.95596875
transcript.pyannote[2972].speaker SPEAKER_29
transcript.pyannote[2972].start 18246.79971875
transcript.pyannote[2972].end 18249.58409375
transcript.pyannote[2973].speaker SPEAKER_29
transcript.pyannote[2973].start 18250.07346875
transcript.pyannote[2973].end 18253.36409375
transcript.pyannote[2974].speaker SPEAKER_29
transcript.pyannote[2974].start 18253.65096875
transcript.pyannote[2974].end 18254.93346875
transcript.pyannote[2975].speaker SPEAKER_29
transcript.pyannote[2975].start 18255.28784375
transcript.pyannote[2975].end 18255.92909375
transcript.pyannote[2976].speaker SPEAKER_29
transcript.pyannote[2976].start 18256.38471875
transcript.pyannote[2976].end 18258.39284375
transcript.pyannote[2977].speaker SPEAKER_29
transcript.pyannote[2977].start 18258.62909375
transcript.pyannote[2977].end 18262.64534375
transcript.pyannote[2978].speaker SPEAKER_29
transcript.pyannote[2978].start 18263.01659375
transcript.pyannote[2978].end 18266.45909375
transcript.pyannote[2979].speaker SPEAKER_29
transcript.pyannote[2979].start 18266.89784375
transcript.pyannote[2979].end 18267.57284375
transcript.pyannote[2980].speaker SPEAKER_29
transcript.pyannote[2980].start 18268.06221875
transcript.pyannote[2980].end 18269.95221875
transcript.pyannote[2981].speaker SPEAKER_29
transcript.pyannote[2981].start 18270.67784375
transcript.pyannote[2981].end 18271.97721875
transcript.pyannote[2982].speaker SPEAKER_29
transcript.pyannote[2982].start 18272.33159375
transcript.pyannote[2982].end 18273.49596875
transcript.pyannote[2983].speaker SPEAKER_06
transcript.pyannote[2983].start 18274.52534375
transcript.pyannote[2983].end 18275.53784375
transcript.pyannote[2984].speaker SPEAKER_29
transcript.pyannote[2984].start 18275.53784375
transcript.pyannote[2984].end 18276.28034375
transcript.pyannote[2985].speaker SPEAKER_06
transcript.pyannote[2985].start 18276.24659375
transcript.pyannote[2985].end 18276.26346875
transcript.pyannote[2986].speaker SPEAKER_06
transcript.pyannote[2986].start 18276.28034375
transcript.pyannote[2986].end 18276.49971875
transcript.pyannote[2987].speaker SPEAKER_29
transcript.pyannote[2987].start 18276.65159375
transcript.pyannote[2987].end 18278.01846875
transcript.pyannote[2988].speaker SPEAKER_06
transcript.pyannote[2988].start 18278.64284375
transcript.pyannote[2988].end 18278.92971875
transcript.pyannote[2989].speaker SPEAKER_29
transcript.pyannote[2989].start 18279.41909375
transcript.pyannote[2989].end 18280.78596875
transcript.pyannote[2990].speaker SPEAKER_29
transcript.pyannote[2990].start 18281.22471875
transcript.pyannote[2990].end 18283.82346875
transcript.pyannote[2991].speaker SPEAKER_29
transcript.pyannote[2991].start 18284.83596875
transcript.pyannote[2991].end 18285.73034375
transcript.pyannote[2992].speaker SPEAKER_41
transcript.pyannote[2992].start 18286.42221875
transcript.pyannote[2992].end 18286.70909375
transcript.pyannote[2993].speaker SPEAKER_29
transcript.pyannote[2993].start 18286.70909375
transcript.pyannote[2993].end 18290.91096875
transcript.pyannote[2994].speaker SPEAKER_29
transcript.pyannote[2994].start 18291.33284375
transcript.pyannote[2994].end 18294.18471875
transcript.pyannote[2995].speaker SPEAKER_29
transcript.pyannote[2995].start 18294.57284375
transcript.pyannote[2995].end 18295.70346875
transcript.pyannote[2996].speaker SPEAKER_29
transcript.pyannote[2996].start 18296.32784375
transcript.pyannote[2996].end 18297.67784375
transcript.pyannote[2997].speaker SPEAKER_29
transcript.pyannote[2997].start 18298.21784375
transcript.pyannote[2997].end 18300.12471875
transcript.pyannote[2998].speaker SPEAKER_06
transcript.pyannote[2998].start 18301.59284375
transcript.pyannote[2998].end 18308.96721875
transcript.pyannote[2999].speaker SPEAKER_29
transcript.pyannote[2999].start 18308.96721875
transcript.pyannote[2999].end 18310.80659375
transcript.pyannote[3000].speaker SPEAKER_29
transcript.pyannote[3000].start 18311.27909375
transcript.pyannote[3000].end 18312.96659375
transcript.pyannote[3001].speaker SPEAKER_29
transcript.pyannote[3001].start 18313.62471875
transcript.pyannote[3001].end 18315.24471875
transcript.pyannote[3002].speaker SPEAKER_29
transcript.pyannote[3002].start 18316.00409375
transcript.pyannote[3002].end 18326.43284375
transcript.pyannote[3003].speaker SPEAKER_44
transcript.pyannote[3003].start 18326.48346875
transcript.pyannote[3003].end 18326.61846875
transcript.pyannote[3004].speaker SPEAKER_29
transcript.pyannote[3004].start 18326.61846875
transcript.pyannote[3004].end 18332.30534375
transcript.pyannote[3005].speaker SPEAKER_44
transcript.pyannote[3005].start 18326.65221875
transcript.pyannote[3005].end 18326.73659375
transcript.pyannote[3006].speaker SPEAKER_29
transcript.pyannote[3006].start 18332.64284375
transcript.pyannote[3006].end 18333.77346875
transcript.pyannote[3007].speaker SPEAKER_29
transcript.pyannote[3007].start 18334.12784375
transcript.pyannote[3007].end 18335.02221875
transcript.pyannote[3008].speaker SPEAKER_29
transcript.pyannote[3008].start 18335.32596875
transcript.pyannote[3008].end 18337.41846875
transcript.pyannote[3009].speaker SPEAKER_29
transcript.pyannote[3009].start 18337.85721875
transcript.pyannote[3009].end 18337.87409375
transcript.pyannote[3010].speaker SPEAKER_06
transcript.pyannote[3010].start 18337.87409375
transcript.pyannote[3010].end 18337.90784375
transcript.pyannote[3011].speaker SPEAKER_29
transcript.pyannote[3011].start 18337.90784375
transcript.pyannote[3011].end 18338.02596875
transcript.pyannote[3012].speaker SPEAKER_06
transcript.pyannote[3012].start 18338.02596875
transcript.pyannote[3012].end 18338.44784375
transcript.pyannote[3013].speaker SPEAKER_29
transcript.pyannote[3013].start 18338.44784375
transcript.pyannote[3013].end 18338.46471875
transcript.pyannote[3014].speaker SPEAKER_06
transcript.pyannote[3014].start 18338.46471875
transcript.pyannote[3014].end 18338.53221875
transcript.pyannote[3015].speaker SPEAKER_29
transcript.pyannote[3015].start 18338.53221875
transcript.pyannote[3015].end 18339.27471875
transcript.pyannote[3016].speaker SPEAKER_06
transcript.pyannote[3016].start 18339.27471875
transcript.pyannote[3016].end 18339.29159375
transcript.pyannote[3017].speaker SPEAKER_06
transcript.pyannote[3017].start 18340.15221875
transcript.pyannote[3017].end 18345.67034375
transcript.pyannote[3018].speaker SPEAKER_06
transcript.pyannote[3018].start 18345.85596875
transcript.pyannote[3018].end 18345.97409375
transcript.pyannote[3019].speaker SPEAKER_29
transcript.pyannote[3019].start 18345.97409375
transcript.pyannote[3019].end 18349.53471875
transcript.pyannote[3020].speaker SPEAKER_29
transcript.pyannote[3020].start 18350.07471875
transcript.pyannote[3020].end 18351.18846875
transcript.pyannote[3021].speaker SPEAKER_29
transcript.pyannote[3021].start 18352.08284375
transcript.pyannote[3021].end 18353.87159375
transcript.pyannote[3022].speaker SPEAKER_29
transcript.pyannote[3022].start 18354.27659375
transcript.pyannote[3022].end 18359.96346875
transcript.pyannote[3023].speaker SPEAKER_29
transcript.pyannote[3023].start 18360.99284375
transcript.pyannote[3023].end 18364.48596875
transcript.pyannote[3024].speaker SPEAKER_29
transcript.pyannote[3024].start 18365.27909375
transcript.pyannote[3024].end 18367.32096875
transcript.pyannote[3025].speaker SPEAKER_29
transcript.pyannote[3025].start 18367.81034375
transcript.pyannote[3025].end 18369.36284375
transcript.pyannote[3026].speaker SPEAKER_44
transcript.pyannote[3026].start 18370.25721875
transcript.pyannote[3026].end 18370.34159375
transcript.pyannote[3027].speaker SPEAKER_29
transcript.pyannote[3027].start 18370.45971875
transcript.pyannote[3027].end 18375.82596875
transcript.pyannote[3028].speaker SPEAKER_29
transcript.pyannote[3028].start 18376.31534375
transcript.pyannote[3028].end 18382.05284375
transcript.pyannote[3029].speaker SPEAKER_29
transcript.pyannote[3029].start 18382.87971875
transcript.pyannote[3029].end 18385.51221875
transcript.pyannote[3030].speaker SPEAKER_06
transcript.pyannote[3030].start 18386.89596875
transcript.pyannote[3030].end 18386.91284375
transcript.pyannote[3031].speaker SPEAKER_29
transcript.pyannote[3031].start 18386.91284375
transcript.pyannote[3031].end 18395.78909375
transcript.pyannote[3032].speaker SPEAKER_29
transcript.pyannote[3032].start 18397.02096875
transcript.pyannote[3032].end 18399.90659375
transcript.pyannote[3033].speaker SPEAKER_29
transcript.pyannote[3033].start 18400.02471875
transcript.pyannote[3033].end 18400.73346875
transcript.pyannote[3034].speaker SPEAKER_29
transcript.pyannote[3034].start 18400.86846875
transcript.pyannote[3034].end 18402.01596875
transcript.pyannote[3035].speaker SPEAKER_29
transcript.pyannote[3035].start 18402.50534375
transcript.pyannote[3035].end 18405.79596875
transcript.pyannote[3036].speaker SPEAKER_29
transcript.pyannote[3036].start 18406.06596875
transcript.pyannote[3036].end 18407.04471875
transcript.pyannote[3037].speaker SPEAKER_29
transcript.pyannote[3037].start 18407.51721875
transcript.pyannote[3037].end 18408.32721875
transcript.pyannote[3038].speaker SPEAKER_29
transcript.pyannote[3038].start 18408.46221875
transcript.pyannote[3038].end 18409.27221875
transcript.pyannote[3039].speaker SPEAKER_29
transcript.pyannote[3039].start 18410.23409375
transcript.pyannote[3039].end 18411.02721875
transcript.pyannote[3040].speaker SPEAKER_29
transcript.pyannote[3040].start 18411.41534375
transcript.pyannote[3040].end 18421.54034375
transcript.pyannote[3041].speaker SPEAKER_06
transcript.pyannote[3041].start 18422.63721875
transcript.pyannote[3041].end 18427.53096875
transcript.pyannote[3042].speaker SPEAKER_29
transcript.pyannote[3042].start 18423.83534375
transcript.pyannote[3042].end 18424.30784375
transcript.pyannote[3043].speaker SPEAKER_29
transcript.pyannote[3043].start 18426.19784375
transcript.pyannote[3043].end 18430.61909375
transcript.pyannote[3044].speaker SPEAKER_06
transcript.pyannote[3044].start 18430.61909375
transcript.pyannote[3044].end 18431.80034375
transcript.pyannote[3045].speaker SPEAKER_29
transcript.pyannote[3045].start 18431.80034375
transcript.pyannote[3045].end 18435.69846875
transcript.pyannote[3046].speaker SPEAKER_06
transcript.pyannote[3046].start 18432.15471875
transcript.pyannote[3046].end 18432.50909375
transcript.pyannote[3047].speaker SPEAKER_06
transcript.pyannote[3047].start 18436.22159375
transcript.pyannote[3047].end 18437.82471875
transcript.pyannote[3048].speaker SPEAKER_06
transcript.pyannote[3048].start 18437.97659375
transcript.pyannote[3048].end 18440.96346875
transcript.pyannote[3049].speaker SPEAKER_06
transcript.pyannote[3049].start 18441.52034375
transcript.pyannote[3049].end 18442.17846875
transcript.pyannote[3050].speaker SPEAKER_06
transcript.pyannote[3050].start 18443.27534375
transcript.pyannote[3050].end 18445.04721875
transcript.pyannote[3051].speaker SPEAKER_06
transcript.pyannote[3051].start 18445.35096875
transcript.pyannote[3051].end 18446.44784375
transcript.pyannote[3052].speaker SPEAKER_29
transcript.pyannote[3052].start 18446.44784375
transcript.pyannote[3052].end 18450.05909375
transcript.pyannote[3053].speaker SPEAKER_04
transcript.pyannote[3053].start 18450.05909375
transcript.pyannote[3053].end 18454.95284375
transcript.pyannote[3054].speaker SPEAKER_09
transcript.pyannote[3054].start 18470.03909375
transcript.pyannote[3054].end 18471.77721875
transcript.pyannote[3055].speaker SPEAKER_04
transcript.pyannote[3055].start 18471.86159375
transcript.pyannote[3055].end 18472.67159375
transcript.pyannote[3056].speaker SPEAKER_06
transcript.pyannote[3056].start 18477.27846875
transcript.pyannote[3056].end 18478.39221875
transcript.pyannote[3057].speaker SPEAKER_09
transcript.pyannote[3057].start 18478.57784375
transcript.pyannote[3057].end 18516.51284375
transcript.pyannote[3058].speaker SPEAKER_06
transcript.pyannote[3058].start 18484.38284375
transcript.pyannote[3058].end 18484.73721875
transcript.pyannote[3059].speaker SPEAKER_09
transcript.pyannote[3059].start 18516.90096875
transcript.pyannote[3059].end 18517.79534375
transcript.pyannote[3060].speaker SPEAKER_09
transcript.pyannote[3060].start 18518.14971875
transcript.pyannote[3060].end 18520.96784375
transcript.pyannote[3061].speaker SPEAKER_06
transcript.pyannote[3061].start 18518.16659375
transcript.pyannote[3061].end 18520.63034375
transcript.pyannote[3062].speaker SPEAKER_06
transcript.pyannote[3062].start 18520.95096875
transcript.pyannote[3062].end 18523.49909375
transcript.pyannote[3063].speaker SPEAKER_09
transcript.pyannote[3063].start 18523.48221875
transcript.pyannote[3063].end 18525.82784375
transcript.pyannote[3064].speaker SPEAKER_06
transcript.pyannote[3064].start 18525.22034375
transcript.pyannote[3064].end 18526.26659375
transcript.pyannote[3065].speaker SPEAKER_09
transcript.pyannote[3065].start 18526.51971875
transcript.pyannote[3065].end 18527.32971875
transcript.pyannote[3066].speaker SPEAKER_09
transcript.pyannote[3066].start 18527.85284375
transcript.pyannote[3066].end 18554.07659375
transcript.pyannote[3067].speaker SPEAKER_09
transcript.pyannote[3067].start 18554.68409375
transcript.pyannote[3067].end 18564.25221875
transcript.pyannote[3068].speaker SPEAKER_06
transcript.pyannote[3068].start 18564.96096875
transcript.pyannote[3068].end 18570.14159375
transcript.pyannote[3069].speaker SPEAKER_06
transcript.pyannote[3069].start 18570.47909375
transcript.pyannote[3069].end 18572.63909375
transcript.pyannote[3070].speaker SPEAKER_06
transcript.pyannote[3070].start 18573.11159375
transcript.pyannote[3070].end 18579.77721875
transcript.pyannote[3071].speaker SPEAKER_04
transcript.pyannote[3071].start 18579.97971875
transcript.pyannote[3071].end 18580.03034375
transcript.pyannote[3072].speaker SPEAKER_44
transcript.pyannote[3072].start 18580.03034375
transcript.pyannote[3072].end 18580.36784375
transcript.pyannote[3073].speaker SPEAKER_06
transcript.pyannote[3073].start 18580.13159375
transcript.pyannote[3073].end 18580.75596875
transcript.pyannote[3074].speaker SPEAKER_06
transcript.pyannote[3074].start 18580.99221875
transcript.pyannote[3074].end 18583.77659375
transcript.pyannote[3075].speaker SPEAKER_06
transcript.pyannote[3075].start 18584.02971875
transcript.pyannote[3075].end 18586.83096875
transcript.pyannote[3076].speaker SPEAKER_06
transcript.pyannote[3076].start 18587.10096875
transcript.pyannote[3076].end 18590.25659375
transcript.pyannote[3077].speaker SPEAKER_06
transcript.pyannote[3077].start 18590.57721875
transcript.pyannote[3077].end 18590.61096875
transcript.pyannote[3078].speaker SPEAKER_09
transcript.pyannote[3078].start 18590.61096875
transcript.pyannote[3078].end 18590.66159375
transcript.pyannote[3079].speaker SPEAKER_06
transcript.pyannote[3079].start 18590.66159375
transcript.pyannote[3079].end 18591.03284375
transcript.pyannote[3080].speaker SPEAKER_09
transcript.pyannote[3080].start 18591.03284375
transcript.pyannote[3080].end 18592.07909375
transcript.pyannote[3081].speaker SPEAKER_06
transcript.pyannote[3081].start 18591.85971875
transcript.pyannote[3081].end 18598.30596875
transcript.pyannote[3082].speaker SPEAKER_09
transcript.pyannote[3082].start 18597.14159375
transcript.pyannote[3082].end 18611.85659375
transcript.pyannote[3083].speaker SPEAKER_06
transcript.pyannote[3083].start 18611.94096875
transcript.pyannote[3083].end 18620.68221875
transcript.pyannote[3084].speaker SPEAKER_06
transcript.pyannote[3084].start 18621.13784375
transcript.pyannote[3084].end 18624.32721875
transcript.pyannote[3085].speaker SPEAKER_25
transcript.pyannote[3085].start 18624.19221875
transcript.pyannote[3085].end 18636.32534375
transcript.pyannote[3086].speaker SPEAKER_09
transcript.pyannote[3086].start 18635.34659375
transcript.pyannote[3086].end 18647.37846875
transcript.pyannote[3087].speaker SPEAKER_25
transcript.pyannote[3087].start 18636.67971875
transcript.pyannote[3087].end 18638.43471875
transcript.pyannote[3088].speaker SPEAKER_25
transcript.pyannote[3088].start 18643.02471875
transcript.pyannote[3088].end 18643.22721875
transcript.pyannote[3089].speaker SPEAKER_08
transcript.pyannote[3089].start 18643.22721875
transcript.pyannote[3089].end 18643.24409375
transcript.pyannote[3090].speaker SPEAKER_09
transcript.pyannote[3090].start 18647.58096875
transcript.pyannote[3090].end 18653.89221875
transcript.pyannote[3091].speaker SPEAKER_25
transcript.pyannote[3091].start 18649.77471875
transcript.pyannote[3091].end 18650.23034375
transcript.pyannote[3092].speaker SPEAKER_25
transcript.pyannote[3092].start 18653.92596875
transcript.pyannote[3092].end 18673.24784375
transcript.pyannote[3093].speaker SPEAKER_25
transcript.pyannote[3093].start 18673.41659375
transcript.pyannote[3093].end 18699.16784375
transcript.pyannote[3094].speaker SPEAKER_09
transcript.pyannote[3094].start 18689.71784375
transcript.pyannote[3094].end 18689.75159375
transcript.pyannote[3095].speaker SPEAKER_08
transcript.pyannote[3095].start 18689.75159375
transcript.pyannote[3095].end 18689.97096875
transcript.pyannote[3096].speaker SPEAKER_09
transcript.pyannote[3096].start 18689.97096875
transcript.pyannote[3096].end 18690.42659375
transcript.pyannote[3097].speaker SPEAKER_09
transcript.pyannote[3097].start 18696.43409375
transcript.pyannote[3097].end 18697.81784375
transcript.pyannote[3098].speaker SPEAKER_09
transcript.pyannote[3098].start 18698.96534375
transcript.pyannote[3098].end 18703.65659375
transcript.pyannote[3099].speaker SPEAKER_09
transcript.pyannote[3099].start 18704.17971875
transcript.pyannote[3099].end 18704.60159375
transcript.pyannote[3100].speaker SPEAKER_06
transcript.pyannote[3100].start 18704.80409375
transcript.pyannote[3100].end 18704.93909375
transcript.pyannote[3101].speaker SPEAKER_06
transcript.pyannote[3101].start 18704.95596875
transcript.pyannote[3101].end 18704.98971875
transcript.pyannote[3102].speaker SPEAKER_06
transcript.pyannote[3102].start 18705.07409375
transcript.pyannote[3102].end 18717.13971875
transcript.pyannote[3103].speaker SPEAKER_09
transcript.pyannote[3103].start 18716.88659375
transcript.pyannote[3103].end 18721.03784375
transcript.pyannote[3104].speaker SPEAKER_06
transcript.pyannote[3104].start 18718.48971875
transcript.pyannote[3104].end 18718.52346875
transcript.pyannote[3105].speaker SPEAKER_06
transcript.pyannote[3105].start 18720.43034375
transcript.pyannote[3105].end 18720.56534375
transcript.pyannote[3106].speaker SPEAKER_09
transcript.pyannote[3106].start 18721.17284375
transcript.pyannote[3106].end 18726.31971875
transcript.pyannote[3107].speaker SPEAKER_09
transcript.pyannote[3107].start 18726.53909375
transcript.pyannote[3107].end 18745.96221875
transcript.pyannote[3108].speaker SPEAKER_44
transcript.pyannote[3108].start 18734.67284375
transcript.pyannote[3108].end 18734.84159375
transcript.pyannote[3109].speaker SPEAKER_44
transcript.pyannote[3109].start 18745.25346875
transcript.pyannote[3109].end 18745.72596875
transcript.pyannote[3110].speaker SPEAKER_44
transcript.pyannote[3110].start 18745.92846875
transcript.pyannote[3110].end 18746.28284375
transcript.pyannote[3111].speaker SPEAKER_09
transcript.pyannote[3111].start 18746.41784375
transcript.pyannote[3111].end 18751.29471875
transcript.pyannote[3112].speaker SPEAKER_06
transcript.pyannote[3112].start 18751.54784375
transcript.pyannote[3112].end 18752.34096875
transcript.pyannote[3113].speaker SPEAKER_06
transcript.pyannote[3113].start 18753.62346875
transcript.pyannote[3113].end 18754.77096875
transcript.pyannote[3114].speaker SPEAKER_06
transcript.pyannote[3114].start 18754.90596875
transcript.pyannote[3114].end 18759.73221875
transcript.pyannote[3115].speaker SPEAKER_06
transcript.pyannote[3115].start 18760.18784375
transcript.pyannote[3115].end 18762.02721875
transcript.pyannote[3116].speaker SPEAKER_06
transcript.pyannote[3116].start 18762.38159375
transcript.pyannote[3116].end 18770.39721875
transcript.pyannote[3117].speaker SPEAKER_09
transcript.pyannote[3117].start 18768.59159375
transcript.pyannote[3117].end 18768.74346875
transcript.pyannote[3118].speaker SPEAKER_09
transcript.pyannote[3118].start 18769.80659375
transcript.pyannote[3118].end 18773.48534375
transcript.pyannote[3119].speaker SPEAKER_06
transcript.pyannote[3119].start 18771.66284375
transcript.pyannote[3119].end 18772.05096875
transcript.pyannote[3120].speaker SPEAKER_06
transcript.pyannote[3120].start 18772.23659375
transcript.pyannote[3120].end 18780.96096875
transcript.pyannote[3121].speaker SPEAKER_09
transcript.pyannote[3121].start 18781.01159375
transcript.pyannote[3121].end 18786.07409375
transcript.pyannote[3122].speaker SPEAKER_09
transcript.pyannote[3122].start 18786.19221875
transcript.pyannote[3122].end 18786.88409375
transcript.pyannote[3123].speaker SPEAKER_09
transcript.pyannote[3123].start 18786.95159375
transcript.pyannote[3123].end 18788.74034375
transcript.pyannote[3124].speaker SPEAKER_06
transcript.pyannote[3124].start 18789.24659375
transcript.pyannote[3124].end 18793.31346875
transcript.pyannote[3125].speaker SPEAKER_25
transcript.pyannote[3125].start 18793.31346875
transcript.pyannote[3125].end 18796.03034375
transcript.pyannote[3126].speaker SPEAKER_25
transcript.pyannote[3126].start 18796.06409375
transcript.pyannote[3126].end 18796.19909375
transcript.pyannote[3127].speaker SPEAKER_25
transcript.pyannote[3127].start 18796.24971875
transcript.pyannote[3127].end 18802.25721875
transcript.pyannote[3128].speaker SPEAKER_25
transcript.pyannote[3128].start 18802.39221875
transcript.pyannote[3128].end 18803.74221875
transcript.pyannote[3129].speaker SPEAKER_00
transcript.pyannote[3129].start 18802.47659375
transcript.pyannote[3129].end 18802.94909375
transcript.pyannote[3130].speaker SPEAKER_25
transcript.pyannote[3130].start 18804.14721875
transcript.pyannote[3130].end 18806.67846875
transcript.pyannote[3131].speaker SPEAKER_25
transcript.pyannote[3131].start 18806.76284375
transcript.pyannote[3131].end 18807.87659375
transcript.pyannote[3132].speaker SPEAKER_25
transcript.pyannote[3132].start 18808.21409375
transcript.pyannote[3132].end 18809.63159375
transcript.pyannote[3133].speaker SPEAKER_25
transcript.pyannote[3133].start 18809.80034375
transcript.pyannote[3133].end 18810.25596875
transcript.pyannote[3134].speaker SPEAKER_25
transcript.pyannote[3134].start 18810.39096875
transcript.pyannote[3134].end 18811.23471875
transcript.pyannote[3135].speaker SPEAKER_25
transcript.pyannote[3135].start 18811.65659375
transcript.pyannote[3135].end 18818.03534375
transcript.pyannote[3136].speaker SPEAKER_06
transcript.pyannote[3136].start 18816.07784375
transcript.pyannote[3136].end 18816.43221875
transcript.pyannote[3137].speaker SPEAKER_06
transcript.pyannote[3137].start 18818.03534375
transcript.pyannote[3137].end 18826.82721875
transcript.pyannote[3138].speaker SPEAKER_25
transcript.pyannote[3138].start 18818.17034375
transcript.pyannote[3138].end 18818.42346875
transcript.pyannote[3139].speaker SPEAKER_44
transcript.pyannote[3139].start 18823.72221875
transcript.pyannote[3139].end 18823.73909375
transcript.pyannote[3140].speaker SPEAKER_09
transcript.pyannote[3140].start 18825.08909375
transcript.pyannote[3140].end 18825.81471875
transcript.pyannote[3141].speaker SPEAKER_25
transcript.pyannote[3141].start 18825.81471875
transcript.pyannote[3141].end 18825.86534375
transcript.pyannote[3142].speaker SPEAKER_09
transcript.pyannote[3142].start 18826.75971875
transcript.pyannote[3142].end 18826.81034375
transcript.pyannote[3143].speaker SPEAKER_09
transcript.pyannote[3143].start 18826.82721875
transcript.pyannote[3143].end 18827.02971875
transcript.pyannote[3144].speaker SPEAKER_25
transcript.pyannote[3144].start 18827.02971875
transcript.pyannote[3144].end 18832.81784375
transcript.pyannote[3145].speaker SPEAKER_09
transcript.pyannote[3145].start 18830.94471875
transcript.pyannote[3145].end 18832.36221875
transcript.pyannote[3146].speaker SPEAKER_09
transcript.pyannote[3146].start 18833.02034375
transcript.pyannote[3146].end 18835.61909375
transcript.pyannote[3147].speaker SPEAKER_09
transcript.pyannote[3147].start 18836.32784375
transcript.pyannote[3147].end 18870.36471875
transcript.pyannote[3148].speaker SPEAKER_06
transcript.pyannote[3148].start 18871.25909375
transcript.pyannote[3148].end 18877.45221875
transcript.pyannote[3149].speaker SPEAKER_06
transcript.pyannote[3149].start 18877.70534375
transcript.pyannote[3149].end 18880.77659375
transcript.pyannote[3150].speaker SPEAKER_06
transcript.pyannote[3150].start 18881.08034375
transcript.pyannote[3150].end 18883.96596875
transcript.pyannote[3151].speaker SPEAKER_44
transcript.pyannote[3151].start 18883.96596875
transcript.pyannote[3151].end 18884.03346875
transcript.pyannote[3152].speaker SPEAKER_06
transcript.pyannote[3152].start 18884.03346875
transcript.pyannote[3152].end 18889.53471875
transcript.pyannote[3153].speaker SPEAKER_06
transcript.pyannote[3153].start 18889.97346875
transcript.pyannote[3153].end 18893.56784375
transcript.pyannote[3154].speaker SPEAKER_06
transcript.pyannote[3154].start 18893.68596875
transcript.pyannote[3154].end 18895.35659375
transcript.pyannote[3155].speaker SPEAKER_09
transcript.pyannote[3155].start 18893.71971875
transcript.pyannote[3155].end 18899.57534375
transcript.pyannote[3156].speaker SPEAKER_06
transcript.pyannote[3156].start 18897.56721875
transcript.pyannote[3156].end 18904.30034375
transcript.pyannote[3157].speaker SPEAKER_09
transcript.pyannote[3157].start 18903.87846875
transcript.pyannote[3157].end 18904.33409375
transcript.pyannote[3158].speaker SPEAKER_09
transcript.pyannote[3158].start 18904.45221875
transcript.pyannote[3158].end 18934.43909375
transcript.pyannote[3159].speaker SPEAKER_06
transcript.pyannote[3159].start 18934.77659375
transcript.pyannote[3159].end 18936.21096875
transcript.pyannote[3160].speaker SPEAKER_09
transcript.pyannote[3160].start 18936.21096875
transcript.pyannote[3160].end 18936.97034375
transcript.pyannote[3161].speaker SPEAKER_06
transcript.pyannote[3161].start 18936.97034375
transcript.pyannote[3161].end 18943.97346875
transcript.pyannote[3162].speaker SPEAKER_09
transcript.pyannote[3162].start 18936.98721875
transcript.pyannote[3162].end 18937.64534375
transcript.pyannote[3163].speaker SPEAKER_04
transcript.pyannote[3163].start 18938.87721875
transcript.pyannote[3163].end 18940.46346875
transcript.pyannote[3164].speaker SPEAKER_04
transcript.pyannote[3164].start 18940.78409375
transcript.pyannote[3164].end 18941.74596875
transcript.pyannote[3165].speaker SPEAKER_04
transcript.pyannote[3165].start 18942.58971875
transcript.pyannote[3165].end 18943.36596875
transcript.pyannote[3166].speaker SPEAKER_04
transcript.pyannote[3166].start 18943.97346875
transcript.pyannote[3166].end 18949.81221875
transcript.pyannote[3167].speaker SPEAKER_06
transcript.pyannote[3167].start 18944.63159375
transcript.pyannote[3167].end 18945.34034375
transcript.pyannote[3168].speaker SPEAKER_09
transcript.pyannote[3168].start 18947.95596875
transcript.pyannote[3168].end 18948.25971875
transcript.pyannote[3169].speaker SPEAKER_06
transcript.pyannote[3169].start 18948.25971875
transcript.pyannote[3169].end 18948.36096875
transcript.pyannote[3170].speaker SPEAKER_09
transcript.pyannote[3170].start 18948.36096875
transcript.pyannote[3170].end 18948.42846875
transcript.pyannote[3171].speaker SPEAKER_06
transcript.pyannote[3171].start 18948.42846875
transcript.pyannote[3171].end 18948.44534375
transcript.pyannote[3172].speaker SPEAKER_09
transcript.pyannote[3172].start 18948.93471875
transcript.pyannote[3172].end 18965.42159375
transcript.pyannote[3173].speaker SPEAKER_06
transcript.pyannote[3173].start 18959.09346875
transcript.pyannote[3173].end 18960.17346875
transcript.pyannote[3174].speaker SPEAKER_06
transcript.pyannote[3174].start 18965.42159375
transcript.pyannote[3174].end 18971.02409375
transcript.pyannote[3175].speaker SPEAKER_04
transcript.pyannote[3175].start 18967.22721875
transcript.pyannote[3175].end 18968.66159375
transcript.pyannote[3176].speaker SPEAKER_04
transcript.pyannote[3176].start 18970.04534375
transcript.pyannote[3176].end 18979.61346875
transcript.pyannote[3177].speaker SPEAKER_06
transcript.pyannote[3177].start 18972.67784375
transcript.pyannote[3177].end 18974.33159375
transcript.pyannote[3178].speaker SPEAKER_45
transcript.pyannote[3178].start 18986.53221875
transcript.pyannote[3178].end 18989.77221875
transcript.pyannote[3179].speaker SPEAKER_04
transcript.pyannote[3179].start 18990.22784375
transcript.pyannote[3179].end 18991.89846875
transcript.pyannote[3180].speaker SPEAKER_45
transcript.pyannote[3180].start 18992.75909375
transcript.pyannote[3180].end 19035.84096875
transcript.pyannote[3181].speaker SPEAKER_45
transcript.pyannote[3181].start 19037.46096875
transcript.pyannote[3181].end 19144.02659375
transcript.pyannote[3182].speaker SPEAKER_35
transcript.pyannote[3182].start 19040.34659375
transcript.pyannote[3182].end 19040.97096875
transcript.pyannote[3183].speaker SPEAKER_44
transcript.pyannote[3183].start 19040.97096875
transcript.pyannote[3183].end 19041.12284375
transcript.pyannote[3184].speaker SPEAKER_00
transcript.pyannote[3184].start 19041.12284375
transcript.pyannote[3184].end 19041.17346875
transcript.pyannote[3185].speaker SPEAKER_45
transcript.pyannote[3185].start 19144.22909375
transcript.pyannote[3185].end 19149.25784375
transcript.pyannote[3186].speaker SPEAKER_45
transcript.pyannote[3186].start 19149.52784375
transcript.pyannote[3186].end 19194.36471875
transcript.pyannote[3187].speaker SPEAKER_45
transcript.pyannote[3187].start 19194.53346875
transcript.pyannote[3187].end 19210.59846875
transcript.pyannote[3188].speaker SPEAKER_45
transcript.pyannote[3188].start 19211.23971875
transcript.pyannote[3188].end 19223.15346875
transcript.pyannote[3189].speaker SPEAKER_06
transcript.pyannote[3189].start 19223.15346875
transcript.pyannote[3189].end 19227.87846875
transcript.pyannote[3190].speaker SPEAKER_06
transcript.pyannote[3190].start 19228.19909375
transcript.pyannote[3190].end 19234.03784375
transcript.pyannote[3191].speaker SPEAKER_06
transcript.pyannote[3191].start 19234.37534375
transcript.pyannote[3191].end 19238.84721875
transcript.pyannote[3192].speaker SPEAKER_06
transcript.pyannote[3192].start 19239.26909375
transcript.pyannote[3192].end 19242.20534375
transcript.pyannote[3193].speaker SPEAKER_45
transcript.pyannote[3193].start 19242.20534375
transcript.pyannote[3193].end 19287.17721875
transcript.pyannote[3194].speaker SPEAKER_06
transcript.pyannote[3194].start 19248.16221875
transcript.pyannote[3194].end 19248.19596875
transcript.pyannote[3195].speaker SPEAKER_35
transcript.pyannote[3195].start 19248.19596875
transcript.pyannote[3195].end 19248.22971875
transcript.pyannote[3196].speaker SPEAKER_06
transcript.pyannote[3196].start 19248.22971875
transcript.pyannote[3196].end 19248.97221875
transcript.pyannote[3197].speaker SPEAKER_35
transcript.pyannote[3197].start 19248.97221875
transcript.pyannote[3197].end 19250.96346875
transcript.pyannote[3198].speaker SPEAKER_44
transcript.pyannote[3198].start 19250.96346875
transcript.pyannote[3198].end 19252.61721875
transcript.pyannote[3199].speaker SPEAKER_44
transcript.pyannote[3199].start 19253.12346875
transcript.pyannote[3199].end 19255.87409375
transcript.pyannote[3200].speaker SPEAKER_41
transcript.pyannote[3200].start 19255.87409375
transcript.pyannote[3200].end 19255.90784375
transcript.pyannote[3201].speaker SPEAKER_45
transcript.pyannote[3201].start 19287.32909375
transcript.pyannote[3201].end 19315.20659375
transcript.pyannote[3202].speaker SPEAKER_45
transcript.pyannote[3202].start 19315.34159375
transcript.pyannote[3202].end 19320.03284375
transcript.pyannote[3203].speaker SPEAKER_45
transcript.pyannote[3203].start 19320.10034375
transcript.pyannote[3203].end 19321.80471875
transcript.pyannote[3204].speaker SPEAKER_45
transcript.pyannote[3204].start 19322.19284375
transcript.pyannote[3204].end 19342.03784375
transcript.pyannote[3205].speaker SPEAKER_06
transcript.pyannote[3205].start 19342.30784375
transcript.pyannote[3205].end 19346.32409375
transcript.pyannote[3206].speaker SPEAKER_45
transcript.pyannote[3206].start 19345.49721875
transcript.pyannote[3206].end 19345.83471875
transcript.pyannote[3207].speaker SPEAKER_06
transcript.pyannote[3207].start 19346.76284375
transcript.pyannote[3207].end 19360.16159375
transcript.pyannote[3208].speaker SPEAKER_45
transcript.pyannote[3208].start 19358.40659375
transcript.pyannote[3208].end 19359.53721875
transcript.pyannote[3209].speaker SPEAKER_45
transcript.pyannote[3209].start 19359.97596875
transcript.pyannote[3209].end 19382.21721875
transcript.pyannote[3210].speaker SPEAKER_45
transcript.pyannote[3210].start 19382.67284375
transcript.pyannote[3210].end 19394.43471875
transcript.pyannote[3211].speaker SPEAKER_06
transcript.pyannote[3211].start 19394.43471875
transcript.pyannote[3211].end 19397.03346875
transcript.pyannote[3212].speaker SPEAKER_45
transcript.pyannote[3212].start 19397.03346875
transcript.pyannote[3212].end 19397.97846875
transcript.pyannote[3213].speaker SPEAKER_06
transcript.pyannote[3213].start 19397.97846875
transcript.pyannote[3213].end 19398.19784375
transcript.pyannote[3214].speaker SPEAKER_04
transcript.pyannote[3214].start 19398.99096875
transcript.pyannote[3214].end 19404.79596875
transcript.pyannote[3215].speaker SPEAKER_46
transcript.pyannote[3215].start 19412.98034375
transcript.pyannote[3215].end 19418.83596875
transcript.pyannote[3216].speaker SPEAKER_46
transcript.pyannote[3216].start 19419.30846875
transcript.pyannote[3216].end 19420.94534375
transcript.pyannote[3217].speaker SPEAKER_04
transcript.pyannote[3217].start 19421.08034375
transcript.pyannote[3217].end 19422.02534375
transcript.pyannote[3218].speaker SPEAKER_04
transcript.pyannote[3218].start 19423.45971875
transcript.pyannote[3218].end 19423.91534375
transcript.pyannote[3219].speaker SPEAKER_16
transcript.pyannote[3219].start 19424.45534375
transcript.pyannote[3219].end 19424.52284375
transcript.pyannote[3220].speaker SPEAKER_44
transcript.pyannote[3220].start 19424.52284375
transcript.pyannote[3220].end 19424.53971875
transcript.pyannote[3221].speaker SPEAKER_46
transcript.pyannote[3221].start 19424.53971875
transcript.pyannote[3221].end 19424.55659375
transcript.pyannote[3222].speaker SPEAKER_16
transcript.pyannote[3222].start 19424.55659375
transcript.pyannote[3222].end 19424.65784375
transcript.pyannote[3223].speaker SPEAKER_44
transcript.pyannote[3223].start 19424.65784375
transcript.pyannote[3223].end 19424.80971875
transcript.pyannote[3224].speaker SPEAKER_46
transcript.pyannote[3224].start 19425.72096875
transcript.pyannote[3224].end 19427.10471875
transcript.pyannote[3225].speaker SPEAKER_16
transcript.pyannote[3225].start 19426.39596875
transcript.pyannote[3225].end 19426.73346875
transcript.pyannote[3226].speaker SPEAKER_04
transcript.pyannote[3226].start 19426.73346875
transcript.pyannote[3226].end 19426.98659375
transcript.pyannote[3227].speaker SPEAKER_16
transcript.pyannote[3227].start 19426.98659375
transcript.pyannote[3227].end 19427.49284375
transcript.pyannote[3228].speaker SPEAKER_46
transcript.pyannote[3228].start 19427.91471875
transcript.pyannote[3228].end 19429.04534375
transcript.pyannote[3229].speaker SPEAKER_46
transcript.pyannote[3229].start 19429.12971875
transcript.pyannote[3229].end 19430.47971875
transcript.pyannote[3230].speaker SPEAKER_46
transcript.pyannote[3230].start 19431.12096875
transcript.pyannote[3230].end 19436.01471875
transcript.pyannote[3231].speaker SPEAKER_46
transcript.pyannote[3231].start 19436.31846875
transcript.pyannote[3231].end 19437.19596875
transcript.pyannote[3232].speaker SPEAKER_46
transcript.pyannote[3232].start 19437.34784375
transcript.pyannote[3232].end 19439.50784375
transcript.pyannote[3233].speaker SPEAKER_46
transcript.pyannote[3233].start 19439.99721875
transcript.pyannote[3233].end 19442.91659375
transcript.pyannote[3234].speaker SPEAKER_46
transcript.pyannote[3234].start 19443.10221875
transcript.pyannote[3234].end 19448.50221875
transcript.pyannote[3235].speaker SPEAKER_46
transcript.pyannote[3235].start 19449.04221875
transcript.pyannote[3235].end 19452.23159375
transcript.pyannote[3236].speaker SPEAKER_46
transcript.pyannote[3236].start 19452.45096875
transcript.pyannote[3236].end 19457.46284375
transcript.pyannote[3237].speaker SPEAKER_46
transcript.pyannote[3237].start 19457.69909375
transcript.pyannote[3237].end 19460.51721875
transcript.pyannote[3238].speaker SPEAKER_46
transcript.pyannote[3238].start 19461.34409375
transcript.pyannote[3238].end 19462.47471875
transcript.pyannote[3239].speaker SPEAKER_46
transcript.pyannote[3239].start 19462.89659375
transcript.pyannote[3239].end 19467.11534375
transcript.pyannote[3240].speaker SPEAKER_46
transcript.pyannote[3240].start 19467.50346875
transcript.pyannote[3240].end 19472.66721875
transcript.pyannote[3241].speaker SPEAKER_46
transcript.pyannote[3241].start 19472.93721875
transcript.pyannote[3241].end 19476.49784375
transcript.pyannote[3242].speaker SPEAKER_46
transcript.pyannote[3242].start 19477.25721875
transcript.pyannote[3242].end 19480.12596875
transcript.pyannote[3243].speaker SPEAKER_46
transcript.pyannote[3243].start 19480.61534375
transcript.pyannote[3243].end 19484.27721875
transcript.pyannote[3244].speaker SPEAKER_46
transcript.pyannote[3244].start 19485.30659375
transcript.pyannote[3244].end 19488.96846875
transcript.pyannote[3245].speaker SPEAKER_46
transcript.pyannote[3245].start 19489.64346875
transcript.pyannote[3245].end 19490.60534375
transcript.pyannote[3246].speaker SPEAKER_46
transcript.pyannote[3246].start 19491.16221875
transcript.pyannote[3246].end 19491.92159375
transcript.pyannote[3247].speaker SPEAKER_46
transcript.pyannote[3247].start 19492.44471875
transcript.pyannote[3247].end 19493.50784375
transcript.pyannote[3248].speaker SPEAKER_46
transcript.pyannote[3248].start 19494.01409375
transcript.pyannote[3248].end 19496.29221875
transcript.pyannote[3249].speaker SPEAKER_46
transcript.pyannote[3249].start 19496.79846875
transcript.pyannote[3249].end 19498.04721875
transcript.pyannote[3250].speaker SPEAKER_46
transcript.pyannote[3250].start 19498.48596875
transcript.pyannote[3250].end 19503.39659375
transcript.pyannote[3251].speaker SPEAKER_46
transcript.pyannote[3251].start 19503.75096875
transcript.pyannote[3251].end 19504.81409375
transcript.pyannote[3252].speaker SPEAKER_46
transcript.pyannote[3252].start 19505.10096875
transcript.pyannote[3252].end 19506.83909375
transcript.pyannote[3253].speaker SPEAKER_46
transcript.pyannote[3253].start 19507.07534375
transcript.pyannote[3253].end 19526.21159375
transcript.pyannote[3254].speaker SPEAKER_16
transcript.pyannote[3254].start 19527.12284375
transcript.pyannote[3254].end 19539.64409375
transcript.pyannote[3255].speaker SPEAKER_46
transcript.pyannote[3255].start 19530.63284375
transcript.pyannote[3255].end 19530.95346875
transcript.pyannote[3256].speaker SPEAKER_46
transcript.pyannote[3256].start 19534.75034375
transcript.pyannote[3256].end 19535.69534375
transcript.pyannote[3257].speaker SPEAKER_46
transcript.pyannote[3257].start 19538.37846875
transcript.pyannote[3257].end 19542.36096875
transcript.pyannote[3258].speaker SPEAKER_16
transcript.pyannote[3258].start 19542.68159375
transcript.pyannote[3258].end 19543.03596875
transcript.pyannote[3259].speaker SPEAKER_35
transcript.pyannote[3259].start 19543.03596875
transcript.pyannote[3259].end 19543.05284375
transcript.pyannote[3260].speaker SPEAKER_46
transcript.pyannote[3260].start 19543.15409375
transcript.pyannote[3260].end 19544.43659375
transcript.pyannote[3261].speaker SPEAKER_16
transcript.pyannote[3261].start 19544.40284375
transcript.pyannote[3261].end 19544.41971875
transcript.pyannote[3262].speaker SPEAKER_35
transcript.pyannote[3262].start 19544.43659375
transcript.pyannote[3262].end 19545.11159375
transcript.pyannote[3263].speaker SPEAKER_46
transcript.pyannote[3263].start 19544.87534375
transcript.pyannote[3263].end 19545.26346875
transcript.pyannote[3264].speaker SPEAKER_16
transcript.pyannote[3264].start 19545.11159375
transcript.pyannote[3264].end 19545.14534375
transcript.pyannote[3265].speaker SPEAKER_46
transcript.pyannote[3265].start 19545.88784375
transcript.pyannote[3265].end 19548.48659375
transcript.pyannote[3266].speaker SPEAKER_46
transcript.pyannote[3266].start 19548.94221875
transcript.pyannote[3266].end 19551.06846875
transcript.pyannote[3267].speaker SPEAKER_46
transcript.pyannote[3267].start 19551.32159375
transcript.pyannote[3267].end 19552.14846875
transcript.pyannote[3268].speaker SPEAKER_46
transcript.pyannote[3268].start 19552.45221875
transcript.pyannote[3268].end 19559.11784375
transcript.pyannote[3269].speaker SPEAKER_46
transcript.pyannote[3269].start 19559.32034375
transcript.pyannote[3269].end 19560.99096875
transcript.pyannote[3270].speaker SPEAKER_46
transcript.pyannote[3270].start 19561.69971875
transcript.pyannote[3270].end 19564.46721875
transcript.pyannote[3271].speaker SPEAKER_46
transcript.pyannote[3271].start 19564.88909375
transcript.pyannote[3271].end 19567.45409375
transcript.pyannote[3272].speaker SPEAKER_46
transcript.pyannote[3272].start 19568.07846875
transcript.pyannote[3272].end 19570.77846875
transcript.pyannote[3273].speaker SPEAKER_46
transcript.pyannote[3273].start 19570.86284375
transcript.pyannote[3273].end 19572.43221875
transcript.pyannote[3274].speaker SPEAKER_46
transcript.pyannote[3274].start 19573.07346875
transcript.pyannote[3274].end 19574.82846875
transcript.pyannote[3275].speaker SPEAKER_46
transcript.pyannote[3275].start 19575.33471875
transcript.pyannote[3275].end 19580.80221875
transcript.pyannote[3276].speaker SPEAKER_46
transcript.pyannote[3276].start 19581.15659375
transcript.pyannote[3276].end 19584.43034375
transcript.pyannote[3277].speaker SPEAKER_46
transcript.pyannote[3277].start 19585.30784375
transcript.pyannote[3277].end 19586.43846875
transcript.pyannote[3278].speaker SPEAKER_46
transcript.pyannote[3278].start 19587.23159375
transcript.pyannote[3278].end 19588.78409375
transcript.pyannote[3279].speaker SPEAKER_46
transcript.pyannote[3279].start 19589.30721875
transcript.pyannote[3279].end 19590.60659375
transcript.pyannote[3280].speaker SPEAKER_46
transcript.pyannote[3280].start 19591.14659375
transcript.pyannote[3280].end 19592.68221875
transcript.pyannote[3281].speaker SPEAKER_46
transcript.pyannote[3281].start 19593.52596875
transcript.pyannote[3281].end 19594.42034375
transcript.pyannote[3282].speaker SPEAKER_46
transcript.pyannote[3282].start 19594.55534375
transcript.pyannote[3282].end 19595.66909375
transcript.pyannote[3283].speaker SPEAKER_46
transcript.pyannote[3283].start 19596.14159375
transcript.pyannote[3283].end 19604.69721875
transcript.pyannote[3284].speaker SPEAKER_46
transcript.pyannote[3284].start 19605.01784375
transcript.pyannote[3284].end 19611.24471875
transcript.pyannote[3285].speaker SPEAKER_46
transcript.pyannote[3285].start 19611.80159375
transcript.pyannote[3285].end 19614.56909375
transcript.pyannote[3286].speaker SPEAKER_46
transcript.pyannote[3286].start 19614.95721875
transcript.pyannote[3286].end 19618.58534375
transcript.pyannote[3287].speaker SPEAKER_46
transcript.pyannote[3287].start 19619.64846875
transcript.pyannote[3287].end 19620.17159375
transcript.pyannote[3288].speaker SPEAKER_46
transcript.pyannote[3288].start 19620.52596875
transcript.pyannote[3288].end 19629.53721875
transcript.pyannote[3289].speaker SPEAKER_46
transcript.pyannote[3289].start 19630.16159375
transcript.pyannote[3289].end 19634.71784375
transcript.pyannote[3290].speaker SPEAKER_46
transcript.pyannote[3290].start 19635.49409375
transcript.pyannote[3290].end 19636.79346875
transcript.pyannote[3291].speaker SPEAKER_46
transcript.pyannote[3291].start 19637.65409375
transcript.pyannote[3291].end 19641.21471875
transcript.pyannote[3292].speaker SPEAKER_46
transcript.pyannote[3292].start 19641.28221875
transcript.pyannote[3292].end 19644.03284375
transcript.pyannote[3293].speaker SPEAKER_46
transcript.pyannote[3293].start 19644.20159375
transcript.pyannote[3293].end 19648.15034375
transcript.pyannote[3294].speaker SPEAKER_46
transcript.pyannote[3294].start 19648.77471875
transcript.pyannote[3294].end 19650.39471875
transcript.pyannote[3295].speaker SPEAKER_46
transcript.pyannote[3295].start 19651.25534375
transcript.pyannote[3295].end 19652.40284375
transcript.pyannote[3296].speaker SPEAKER_46
transcript.pyannote[3296].start 19653.78659375
transcript.pyannote[3296].end 19655.28846875
transcript.pyannote[3297].speaker SPEAKER_46
transcript.pyannote[3297].start 19655.71034375
transcript.pyannote[3297].end 19657.41471875
transcript.pyannote[3298].speaker SPEAKER_46
transcript.pyannote[3298].start 19658.24159375
transcript.pyannote[3298].end 19660.11471875
transcript.pyannote[3299].speaker SPEAKER_46
transcript.pyannote[3299].start 19660.82346875
transcript.pyannote[3299].end 19661.80221875
transcript.pyannote[3300].speaker SPEAKER_46
transcript.pyannote[3300].start 19662.22409375
transcript.pyannote[3300].end 19663.54034375
transcript.pyannote[3301].speaker SPEAKER_46
transcript.pyannote[3301].start 19664.28284375
transcript.pyannote[3301].end 19664.80596875
transcript.pyannote[3302].speaker SPEAKER_46
transcript.pyannote[3302].start 19665.41346875
transcript.pyannote[3302].end 19665.70034375
transcript.pyannote[3303].speaker SPEAKER_46
transcript.pyannote[3303].start 19665.81846875
transcript.pyannote[3303].end 19666.49346875
transcript.pyannote[3304].speaker SPEAKER_46
transcript.pyannote[3304].start 19667.18534375
transcript.pyannote[3304].end 19669.15971875
transcript.pyannote[3305].speaker SPEAKER_46
transcript.pyannote[3305].start 19669.54784375
transcript.pyannote[3305].end 19670.02034375
transcript.pyannote[3306].speaker SPEAKER_46
transcript.pyannote[3306].start 19670.61096875
transcript.pyannote[3306].end 19671.80909375
transcript.pyannote[3307].speaker SPEAKER_46
transcript.pyannote[3307].start 19672.26471875
transcript.pyannote[3307].end 19676.46659375
transcript.pyannote[3308].speaker SPEAKER_46
transcript.pyannote[3308].start 19676.65221875
transcript.pyannote[3308].end 19678.06971875
transcript.pyannote[3309].speaker SPEAKER_46
transcript.pyannote[3309].start 19678.62659375
transcript.pyannote[3309].end 19680.21284375
transcript.pyannote[3310].speaker SPEAKER_46
transcript.pyannote[3310].start 19680.39846875
transcript.pyannote[3310].end 19686.64221875
transcript.pyannote[3311].speaker SPEAKER_46
transcript.pyannote[3311].start 19687.03034375
transcript.pyannote[3311].end 19688.93721875
transcript.pyannote[3312].speaker SPEAKER_46
transcript.pyannote[3312].start 19689.49409375
transcript.pyannote[3312].end 19691.41784375
transcript.pyannote[3313].speaker SPEAKER_46
transcript.pyannote[3313].start 19692.73409375
transcript.pyannote[3313].end 19694.21909375
transcript.pyannote[3314].speaker SPEAKER_46
transcript.pyannote[3314].start 19694.42159375
transcript.pyannote[3314].end 19696.10909375
transcript.pyannote[3315].speaker SPEAKER_46
transcript.pyannote[3315].start 19696.59846875
transcript.pyannote[3315].end 19697.89784375
transcript.pyannote[3316].speaker SPEAKER_46
transcript.pyannote[3316].start 19698.75846875
transcript.pyannote[3316].end 19700.69909375
transcript.pyannote[3317].speaker SPEAKER_46
transcript.pyannote[3317].start 19701.25596875
transcript.pyannote[3317].end 19701.59346875
transcript.pyannote[3318].speaker SPEAKER_46
transcript.pyannote[3318].start 19701.88034375
transcript.pyannote[3318].end 19705.00221875
transcript.pyannote[3319].speaker SPEAKER_46
transcript.pyannote[3319].start 19705.94721875
transcript.pyannote[3319].end 19717.32096875
transcript.pyannote[3320].speaker SPEAKER_46
transcript.pyannote[3320].start 19717.43909375
transcript.pyannote[3320].end 19723.51409375
transcript.pyannote[3321].speaker SPEAKER_46
transcript.pyannote[3321].start 19723.93596875
transcript.pyannote[3321].end 19730.63534375
transcript.pyannote[3322].speaker SPEAKER_06
transcript.pyannote[3322].start 19731.93471875
transcript.pyannote[3322].end 19741.55346875
transcript.pyannote[3323].speaker SPEAKER_46
transcript.pyannote[3323].start 19736.60909375
transcript.pyannote[3323].end 19737.65534375
transcript.pyannote[3324].speaker SPEAKER_46
transcript.pyannote[3324].start 19741.24971875
transcript.pyannote[3324].end 19746.14346875
transcript.pyannote[3325].speaker SPEAKER_06
transcript.pyannote[3325].start 19741.72221875
transcript.pyannote[3325].end 19742.07659375
transcript.pyannote[3326].speaker SPEAKER_35
transcript.pyannote[3326].start 19746.14346875
transcript.pyannote[3326].end 19746.24471875
transcript.pyannote[3327].speaker SPEAKER_44
transcript.pyannote[3327].start 19746.24471875
transcript.pyannote[3327].end 19746.41346875
transcript.pyannote[3328].speaker SPEAKER_06
transcript.pyannote[3328].start 19746.41346875
transcript.pyannote[3328].end 19746.93659375
transcript.pyannote[3329].speaker SPEAKER_16
transcript.pyannote[3329].start 19746.93659375
transcript.pyannote[3329].end 19746.95346875
transcript.pyannote[3330].speaker SPEAKER_46
transcript.pyannote[3330].start 19747.02096875
transcript.pyannote[3330].end 19752.20159375
transcript.pyannote[3331].speaker SPEAKER_06
transcript.pyannote[3331].start 19747.03784375
transcript.pyannote[3331].end 19747.05471875
transcript.pyannote[3332].speaker SPEAKER_16
transcript.pyannote[3332].start 19747.05471875
transcript.pyannote[3332].end 19747.62846875
transcript.pyannote[3333].speaker SPEAKER_16
transcript.pyannote[3333].start 19753.07909375
transcript.pyannote[3333].end 19759.27221875
transcript.pyannote[3334].speaker SPEAKER_46
transcript.pyannote[3334].start 19757.46659375
transcript.pyannote[3334].end 19758.32721875
transcript.pyannote[3335].speaker SPEAKER_46
transcript.pyannote[3335].start 19759.35659375
transcript.pyannote[3335].end 19760.31846875
transcript.pyannote[3336].speaker SPEAKER_46
transcript.pyannote[3336].start 19760.53784375
transcript.pyannote[3336].end 19761.44909375
transcript.pyannote[3337].speaker SPEAKER_46
transcript.pyannote[3337].start 19761.58409375
transcript.pyannote[3337].end 19761.63471875
transcript.pyannote[3338].speaker SPEAKER_16
transcript.pyannote[3338].start 19761.63471875
transcript.pyannote[3338].end 19762.15784375
transcript.pyannote[3339].speaker SPEAKER_46
transcript.pyannote[3339].start 19762.57971875
transcript.pyannote[3339].end 19767.27096875
transcript.pyannote[3340].speaker SPEAKER_46
transcript.pyannote[3340].start 19767.92909375
transcript.pyannote[3340].end 19768.84034375
transcript.pyannote[3341].speaker SPEAKER_16
transcript.pyannote[3341].start 19769.93721875
transcript.pyannote[3341].end 19771.45596875
transcript.pyannote[3342].speaker SPEAKER_46
transcript.pyannote[3342].start 19770.08909375
transcript.pyannote[3342].end 19770.42659375
transcript.pyannote[3343].speaker SPEAKER_46
transcript.pyannote[3343].start 19770.98346875
transcript.pyannote[3343].end 19772.26596875
transcript.pyannote[3344].speaker SPEAKER_46
transcript.pyannote[3344].start 19772.77221875
transcript.pyannote[3344].end 19776.21471875
transcript.pyannote[3345].speaker SPEAKER_16
transcript.pyannote[3345].start 19772.78909375
transcript.pyannote[3345].end 19773.56534375
transcript.pyannote[3346].speaker SPEAKER_46
transcript.pyannote[3346].start 19776.68721875
transcript.pyannote[3346].end 19778.25659375
transcript.pyannote[3347].speaker SPEAKER_46
transcript.pyannote[3347].start 19778.52659375
transcript.pyannote[3347].end 19782.77909375
transcript.pyannote[3348].speaker SPEAKER_06
transcript.pyannote[3348].start 19783.43721875
transcript.pyannote[3348].end 19797.24096875
transcript.pyannote[3349].speaker SPEAKER_46
transcript.pyannote[3349].start 19789.63034375
transcript.pyannote[3349].end 19790.96346875
transcript.pyannote[3350].speaker SPEAKER_46
transcript.pyannote[3350].start 19791.01409375
transcript.pyannote[3350].end 19791.16596875
transcript.pyannote[3351].speaker SPEAKER_46
transcript.pyannote[3351].start 19796.17784375
transcript.pyannote[3351].end 19797.44346875
transcript.pyannote[3352].speaker SPEAKER_46
transcript.pyannote[3352].start 19798.21971875
transcript.pyannote[3352].end 19801.12221875
transcript.pyannote[3353].speaker SPEAKER_16
transcript.pyannote[3353].start 19801.98284375
transcript.pyannote[3353].end 19806.53909375
transcript.pyannote[3354].speaker SPEAKER_46
transcript.pyannote[3354].start 19806.85971875
transcript.pyannote[3354].end 19811.33159375
transcript.pyannote[3355].speaker SPEAKER_16
transcript.pyannote[3355].start 19811.93909375
transcript.pyannote[3355].end 19819.14471875
transcript.pyannote[3356].speaker SPEAKER_46
transcript.pyannote[3356].start 19819.00971875
transcript.pyannote[3356].end 19822.80659375
transcript.pyannote[3357].speaker SPEAKER_46
transcript.pyannote[3357].start 19822.97534375
transcript.pyannote[3357].end 19831.44659375
transcript.pyannote[3358].speaker SPEAKER_46
transcript.pyannote[3358].start 19831.81784375
transcript.pyannote[3358].end 19836.25596875
transcript.pyannote[3359].speaker SPEAKER_46
transcript.pyannote[3359].start 19836.81284375
transcript.pyannote[3359].end 19838.80409375
transcript.pyannote[3360].speaker SPEAKER_06
transcript.pyannote[3360].start 19840.67721875
transcript.pyannote[3360].end 19844.92971875
transcript.pyannote[3361].speaker SPEAKER_06
transcript.pyannote[3361].start 19845.31784375
transcript.pyannote[3361].end 19848.01784375
transcript.pyannote[3362].speaker SPEAKER_06
transcript.pyannote[3362].start 19848.38909375
transcript.pyannote[3362].end 19851.39284375
transcript.pyannote[3363].speaker SPEAKER_16
transcript.pyannote[3363].start 19851.66284375
transcript.pyannote[3363].end 19853.53596875
transcript.pyannote[3364].speaker SPEAKER_14
transcript.pyannote[3364].start 19853.90721875
transcript.pyannote[3364].end 19867.49159375
transcript.pyannote[3365].speaker SPEAKER_46
transcript.pyannote[3365].start 19867.50846875
transcript.pyannote[3365].end 19871.50784375
transcript.pyannote[3366].speaker SPEAKER_46
transcript.pyannote[3366].start 19872.01409375
transcript.pyannote[3366].end 19874.62971875
transcript.pyannote[3367].speaker SPEAKER_14
transcript.pyannote[3367].start 19872.06471875
transcript.pyannote[3367].end 19874.14034375
transcript.pyannote[3368].speaker SPEAKER_14
transcript.pyannote[3368].start 19874.27534375
transcript.pyannote[3368].end 19892.46659375
transcript.pyannote[3369].speaker SPEAKER_30
transcript.pyannote[3369].start 19881.83534375
transcript.pyannote[3369].end 19882.30784375
transcript.pyannote[3370].speaker SPEAKER_00
transcript.pyannote[3370].start 19882.30784375
transcript.pyannote[3370].end 19882.34159375
transcript.pyannote[3371].speaker SPEAKER_46
transcript.pyannote[3371].start 19891.96034375
transcript.pyannote[3371].end 19899.09846875
transcript.pyannote[3372].speaker SPEAKER_14
transcript.pyannote[3372].start 19896.21284375
transcript.pyannote[3372].end 19896.26346875
transcript.pyannote[3373].speaker SPEAKER_04
transcript.pyannote[3373].start 19896.26346875
transcript.pyannote[3373].end 19896.49971875
transcript.pyannote[3374].speaker SPEAKER_14
transcript.pyannote[3374].start 19896.49971875
transcript.pyannote[3374].end 19896.58409375
transcript.pyannote[3375].speaker SPEAKER_14
transcript.pyannote[3375].start 19897.07346875
transcript.pyannote[3375].end 19897.12409375
transcript.pyannote[3376].speaker SPEAKER_04
transcript.pyannote[3376].start 19897.12409375
transcript.pyannote[3376].end 19898.10284375
transcript.pyannote[3377].speaker SPEAKER_04
transcript.pyannote[3377].start 19898.65971875
transcript.pyannote[3377].end 19900.27971875
transcript.pyannote[3378].speaker SPEAKER_46
transcript.pyannote[3378].start 19899.48659375
transcript.pyannote[3378].end 19907.58659375
transcript.pyannote[3379].speaker SPEAKER_14
transcript.pyannote[3379].start 19908.41346875
transcript.pyannote[3379].end 19909.93221875
transcript.pyannote[3380].speaker SPEAKER_46
transcript.pyannote[3380].start 19910.16846875
transcript.pyannote[3380].end 19918.09971875
transcript.pyannote[3381].speaker SPEAKER_14
transcript.pyannote[3381].start 19913.57721875
transcript.pyannote[3381].end 19913.62784375
transcript.pyannote[3382].speaker SPEAKER_04
transcript.pyannote[3382].start 19913.62784375
transcript.pyannote[3382].end 19914.67409375
transcript.pyannote[3383].speaker SPEAKER_14
transcript.pyannote[3383].start 19914.67409375
transcript.pyannote[3383].end 19914.69096875
transcript.pyannote[3384].speaker SPEAKER_04
transcript.pyannote[3384].start 19915.46721875
transcript.pyannote[3384].end 19923.02721875
transcript.pyannote[3385].speaker SPEAKER_47
transcript.pyannote[3385].start 19938.48471875
transcript.pyannote[3385].end 19941.18471875
transcript.pyannote[3386].speaker SPEAKER_47
transcript.pyannote[3386].start 19942.19721875
transcript.pyannote[3386].end 19945.58909375
transcript.pyannote[3387].speaker SPEAKER_04
transcript.pyannote[3387].start 19945.09971875
transcript.pyannote[3387].end 19945.35284375
transcript.pyannote[3388].speaker SPEAKER_04
transcript.pyannote[3388].start 19945.58909375
transcript.pyannote[3388].end 19945.62284375
transcript.pyannote[3389].speaker SPEAKER_47
transcript.pyannote[3389].start 19945.94346875
transcript.pyannote[3389].end 19948.28909375
transcript.pyannote[3390].speaker SPEAKER_47
transcript.pyannote[3390].start 19948.50846875
transcript.pyannote[3390].end 19948.96409375
transcript.pyannote[3391].speaker SPEAKER_04
transcript.pyannote[3391].start 19948.96409375
transcript.pyannote[3391].end 19952.06909375
transcript.pyannote[3392].speaker SPEAKER_47
transcript.pyannote[3392].start 19952.47409375
transcript.pyannote[3392].end 19952.52471875
transcript.pyannote[3393].speaker SPEAKER_04
transcript.pyannote[3393].start 19952.52471875
transcript.pyannote[3393].end 19952.96346875
transcript.pyannote[3394].speaker SPEAKER_47
transcript.pyannote[3394].start 19952.96346875
transcript.pyannote[3394].end 19952.98034375
transcript.pyannote[3395].speaker SPEAKER_04
transcript.pyannote[3395].start 19952.98034375
transcript.pyannote[3395].end 19952.99721875
transcript.pyannote[3396].speaker SPEAKER_47
transcript.pyannote[3396].start 19952.99721875
transcript.pyannote[3396].end 19961.89034375
transcript.pyannote[3397].speaker SPEAKER_04
transcript.pyannote[3397].start 19960.92846875
transcript.pyannote[3397].end 19962.68346875
transcript.pyannote[3398].speaker SPEAKER_47
transcript.pyannote[3398].start 19962.73409375
transcript.pyannote[3398].end 19963.39221875
transcript.pyannote[3399].speaker SPEAKER_47
transcript.pyannote[3399].start 19966.51409375
transcript.pyannote[3399].end 19967.94846875
transcript.pyannote[3400].speaker SPEAKER_47
transcript.pyannote[3400].start 19968.72471875
transcript.pyannote[3400].end 19971.17159375
transcript.pyannote[3401].speaker SPEAKER_47
transcript.pyannote[3401].start 19971.47534375
transcript.pyannote[3401].end 19973.39909375
transcript.pyannote[3402].speaker SPEAKER_47
transcript.pyannote[3402].start 19973.97284375
transcript.pyannote[3402].end 19976.84159375
transcript.pyannote[3403].speaker SPEAKER_47
transcript.pyannote[3403].start 19977.36471875
transcript.pyannote[3403].end 19980.65534375
transcript.pyannote[3404].speaker SPEAKER_47
transcript.pyannote[3404].start 19981.17846875
transcript.pyannote[3404].end 19997.59784375
transcript.pyannote[3405].speaker SPEAKER_47
transcript.pyannote[3405].start 19998.13784375
transcript.pyannote[3405].end 20013.19034375
transcript.pyannote[3406].speaker SPEAKER_47
transcript.pyannote[3406].start 20013.44346875
transcript.pyannote[3406].end 20015.58659375
transcript.pyannote[3407].speaker SPEAKER_47
transcript.pyannote[3407].start 20015.73846875
transcript.pyannote[3407].end 20020.44659375
transcript.pyannote[3408].speaker SPEAKER_06
transcript.pyannote[3408].start 20020.48034375
transcript.pyannote[3408].end 20021.03721875
transcript.pyannote[3409].speaker SPEAKER_47
transcript.pyannote[3409].start 20021.62784375
transcript.pyannote[3409].end 20026.04909375
transcript.pyannote[3410].speaker SPEAKER_47
transcript.pyannote[3410].start 20026.43721875
transcript.pyannote[3410].end 20034.33471875
transcript.pyannote[3411].speaker SPEAKER_00
transcript.pyannote[3411].start 20032.36034375
transcript.pyannote[3411].end 20032.76534375
transcript.pyannote[3412].speaker SPEAKER_47
transcript.pyannote[3412].start 20034.50346875
transcript.pyannote[3412].end 20039.36346875
transcript.pyannote[3413].speaker SPEAKER_47
transcript.pyannote[3413].start 20039.59971875
transcript.pyannote[3413].end 20043.71721875
transcript.pyannote[3414].speaker SPEAKER_47
transcript.pyannote[3414].start 20044.10534375
transcript.pyannote[3414].end 20054.55096875
transcript.pyannote[3415].speaker SPEAKER_47
transcript.pyannote[3415].start 20054.68596875
transcript.pyannote[3415].end 20058.71909375
transcript.pyannote[3416].speaker SPEAKER_47
transcript.pyannote[3416].start 20058.80346875
transcript.pyannote[3416].end 20058.82034375
transcript.pyannote[3417].speaker SPEAKER_44
transcript.pyannote[3417].start 20058.82034375
transcript.pyannote[3417].end 20059.02284375
transcript.pyannote[3418].speaker SPEAKER_47
transcript.pyannote[3418].start 20059.02284375
transcript.pyannote[3418].end 20061.72284375
transcript.pyannote[3419].speaker SPEAKER_44
transcript.pyannote[3419].start 20061.72284375
transcript.pyannote[3419].end 20061.95909375
transcript.pyannote[3420].speaker SPEAKER_47
transcript.pyannote[3420].start 20061.95909375
transcript.pyannote[3420].end 20068.52346875
transcript.pyannote[3421].speaker SPEAKER_44
transcript.pyannote[3421].start 20062.07721875
transcript.pyannote[3421].end 20062.09409375
transcript.pyannote[3422].speaker SPEAKER_47
transcript.pyannote[3422].start 20068.89471875
transcript.pyannote[3422].end 20082.09096875
transcript.pyannote[3423].speaker SPEAKER_47
transcript.pyannote[3423].start 20082.32721875
transcript.pyannote[3423].end 20085.87096875
transcript.pyannote[3424].speaker SPEAKER_47
transcript.pyannote[3424].start 20086.00596875
transcript.pyannote[3424].end 20097.85221875
transcript.pyannote[3425].speaker SPEAKER_47
transcript.pyannote[3425].start 20098.13909375
transcript.pyannote[3425].end 20101.05846875
transcript.pyannote[3426].speaker SPEAKER_06
transcript.pyannote[3426].start 20101.34534375
transcript.pyannote[3426].end 20101.59846875
transcript.pyannote[3427].speaker SPEAKER_06
transcript.pyannote[3427].start 20101.75034375
transcript.pyannote[3427].end 20106.22221875
transcript.pyannote[3428].speaker SPEAKER_06
transcript.pyannote[3428].start 20106.55971875
transcript.pyannote[3428].end 20111.65596875
transcript.pyannote[3429].speaker SPEAKER_06
transcript.pyannote[3429].start 20112.11159375
transcript.pyannote[3429].end 20114.59221875
transcript.pyannote[3430].speaker SPEAKER_06
transcript.pyannote[3430].start 20114.72721875
transcript.pyannote[3430].end 20116.38096875
transcript.pyannote[3431].speaker SPEAKER_06
transcript.pyannote[3431].start 20116.66784375
transcript.pyannote[3431].end 20120.09346875
transcript.pyannote[3432].speaker SPEAKER_06
transcript.pyannote[3432].start 20120.36346875
transcript.pyannote[3432].end 20120.73471875
transcript.pyannote[3433].speaker SPEAKER_06
transcript.pyannote[3433].start 20121.07221875
transcript.pyannote[3433].end 20123.02971875
transcript.pyannote[3434].speaker SPEAKER_17
transcript.pyannote[3434].start 20122.75971875
transcript.pyannote[3434].end 20123.09721875
transcript.pyannote[3435].speaker SPEAKER_06
transcript.pyannote[3435].start 20123.08034375
transcript.pyannote[3435].end 20125.94909375
transcript.pyannote[3436].speaker SPEAKER_06
transcript.pyannote[3436].start 20126.32034375
transcript.pyannote[3436].end 20129.27346875
transcript.pyannote[3437].speaker SPEAKER_06
transcript.pyannote[3437].start 20129.57721875
transcript.pyannote[3437].end 20132.91846875
transcript.pyannote[3438].speaker SPEAKER_47
transcript.pyannote[3438].start 20131.39971875
transcript.pyannote[3438].end 20131.77096875
transcript.pyannote[3439].speaker SPEAKER_47
transcript.pyannote[3439].start 20132.32784375
transcript.pyannote[3439].end 20142.19971875
transcript.pyannote[3440].speaker SPEAKER_06
transcript.pyannote[3440].start 20134.25159375
transcript.pyannote[3440].end 20135.34846875
transcript.pyannote[3441].speaker SPEAKER_06
transcript.pyannote[3441].start 20137.82909375
transcript.pyannote[3441].end 20138.31846875
transcript.pyannote[3442].speaker SPEAKER_06
transcript.pyannote[3442].start 20138.33534375
transcript.pyannote[3442].end 20138.35221875
transcript.pyannote[3443].speaker SPEAKER_06
transcript.pyannote[3443].start 20139.85409375
transcript.pyannote[3443].end 20142.08159375
transcript.pyannote[3444].speaker SPEAKER_06
transcript.pyannote[3444].start 20142.19971875
transcript.pyannote[3444].end 20144.83221875
transcript.pyannote[3445].speaker SPEAKER_47
transcript.pyannote[3445].start 20144.34284375
transcript.pyannote[3445].end 20151.76784375
transcript.pyannote[3446].speaker SPEAKER_06
transcript.pyannote[3446].start 20146.87409375
transcript.pyannote[3446].end 20148.35909375
transcript.pyannote[3447].speaker SPEAKER_06
transcript.pyannote[3447].start 20148.52784375
transcript.pyannote[3447].end 20148.56159375
transcript.pyannote[3448].speaker SPEAKER_06
transcript.pyannote[3448].start 20151.90284375
transcript.pyannote[3448].end 20163.66471875
transcript.pyannote[3449].speaker SPEAKER_06
transcript.pyannote[3449].start 20163.96846875
transcript.pyannote[3449].end 20170.81971875
transcript.pyannote[3450].speaker SPEAKER_06
transcript.pyannote[3450].start 20171.22471875
transcript.pyannote[3450].end 20183.29034375
transcript.pyannote[3451].speaker SPEAKER_06
transcript.pyannote[3451].start 20183.62784375
transcript.pyannote[3451].end 20188.16721875
transcript.pyannote[3452].speaker SPEAKER_06
transcript.pyannote[3452].start 20188.50471875
transcript.pyannote[3452].end 20191.55909375
transcript.pyannote[3453].speaker SPEAKER_06
transcript.pyannote[3453].start 20191.82909375
transcript.pyannote[3453].end 20199.43971875
transcript.pyannote[3454].speaker SPEAKER_47
transcript.pyannote[3454].start 20199.43971875
transcript.pyannote[3454].end 20199.70971875
transcript.pyannote[3455].speaker SPEAKER_06
transcript.pyannote[3455].start 20199.70971875
transcript.pyannote[3455].end 20199.72659375
transcript.pyannote[3456].speaker SPEAKER_47
transcript.pyannote[3456].start 20199.72659375
transcript.pyannote[3456].end 20199.76034375
transcript.pyannote[3457].speaker SPEAKER_06
transcript.pyannote[3457].start 20199.74346875
transcript.pyannote[3457].end 20202.71346875
transcript.pyannote[3458].speaker SPEAKER_47
transcript.pyannote[3458].start 20201.49846875
transcript.pyannote[3458].end 20208.16409375
transcript.pyannote[3459].speaker SPEAKER_06
transcript.pyannote[3459].start 20207.42159375
transcript.pyannote[3459].end 20207.52284375
transcript.pyannote[3460].speaker SPEAKER_47
transcript.pyannote[3460].start 20208.43409375
transcript.pyannote[3460].end 20218.17096875
transcript.pyannote[3461].speaker SPEAKER_06
transcript.pyannote[3461].start 20211.50534375
transcript.pyannote[3461].end 20211.75846875
transcript.pyannote[3462].speaker SPEAKER_35
transcript.pyannote[3462].start 20211.75846875
transcript.pyannote[3462].end 20211.79221875
transcript.pyannote[3463].speaker SPEAKER_06
transcript.pyannote[3463].start 20211.79221875
transcript.pyannote[3463].end 20211.84284375
transcript.pyannote[3464].speaker SPEAKER_06
transcript.pyannote[3464].start 20217.71534375
transcript.pyannote[3464].end 20222.45721875
transcript.pyannote[3465].speaker SPEAKER_47
transcript.pyannote[3465].start 20221.86659375
transcript.pyannote[3465].end 20225.74784375
transcript.pyannote[3466].speaker SPEAKER_47
transcript.pyannote[3466].start 20225.89971875
transcript.pyannote[3466].end 20236.80096875
transcript.pyannote[3467].speaker SPEAKER_47
transcript.pyannote[3467].start 20237.05409375
transcript.pyannote[3467].end 20258.67096875
transcript.pyannote[3468].speaker SPEAKER_06
transcript.pyannote[3468].start 20258.87346875
transcript.pyannote[3468].end 20263.27784375
transcript.pyannote[3469].speaker SPEAKER_06
transcript.pyannote[3469].start 20263.58159375
transcript.pyannote[3469].end 20272.50846875
transcript.pyannote[3470].speaker SPEAKER_06
transcript.pyannote[3470].start 20272.54221875
transcript.pyannote[3470].end 20278.49909375
transcript.pyannote[3471].speaker SPEAKER_06
transcript.pyannote[3471].start 20278.85346875
transcript.pyannote[3471].end 20280.37221875
transcript.pyannote[3472].speaker SPEAKER_06
transcript.pyannote[3472].start 20280.60846875
transcript.pyannote[3472].end 20284.81034375
transcript.pyannote[3473].speaker SPEAKER_06
transcript.pyannote[3473].start 20284.99596875
transcript.pyannote[3473].end 20285.04659375
transcript.pyannote[3474].speaker SPEAKER_47
transcript.pyannote[3474].start 20285.04659375
transcript.pyannote[3474].end 20285.16471875
transcript.pyannote[3475].speaker SPEAKER_06
transcript.pyannote[3475].start 20285.16471875
transcript.pyannote[3475].end 20288.86034375
transcript.pyannote[3476].speaker SPEAKER_47
transcript.pyannote[3476].start 20288.86034375
transcript.pyannote[3476].end 20291.54346875
transcript.pyannote[3477].speaker SPEAKER_47
transcript.pyannote[3477].start 20292.31971875
transcript.pyannote[3477].end 20297.60159375
transcript.pyannote[3478].speaker SPEAKER_04
transcript.pyannote[3478].start 20295.98159375
transcript.pyannote[3478].end 20298.86721875
transcript.pyannote[3479].speaker SPEAKER_47
transcript.pyannote[3479].start 20298.85034375
transcript.pyannote[3479].end 20299.66034375
transcript.pyannote[3480].speaker SPEAKER_47
transcript.pyannote[3480].start 20299.98096875
transcript.pyannote[3480].end 20310.62909375
transcript.pyannote[3481].speaker SPEAKER_47
transcript.pyannote[3481].start 20311.23659375
transcript.pyannote[3481].end 20317.83471875
transcript.pyannote[3482].speaker SPEAKER_47
transcript.pyannote[3482].start 20318.07096875
transcript.pyannote[3482].end 20320.80471875
transcript.pyannote[3483].speaker SPEAKER_47
transcript.pyannote[3483].start 20321.10846875
transcript.pyannote[3483].end 20323.03221875
transcript.pyannote[3484].speaker SPEAKER_47
transcript.pyannote[3484].start 20323.23471875
transcript.pyannote[3484].end 20325.15846875
transcript.pyannote[3485].speaker SPEAKER_47
transcript.pyannote[3485].start 20325.71534375
transcript.pyannote[3485].end 20326.47471875
transcript.pyannote[3486].speaker SPEAKER_47
transcript.pyannote[3486].start 20326.59284375
transcript.pyannote[3486].end 20327.90909375
transcript.pyannote[3487].speaker SPEAKER_47
transcript.pyannote[3487].start 20328.34784375
transcript.pyannote[3487].end 20349.59346875
transcript.pyannote[3488].speaker SPEAKER_17
transcript.pyannote[3488].start 20349.74534375
transcript.pyannote[3488].end 20355.83721875
transcript.pyannote[3489].speaker SPEAKER_47
transcript.pyannote[3489].start 20352.34409375
transcript.pyannote[3489].end 20352.76596875
transcript.pyannote[3490].speaker SPEAKER_47
transcript.pyannote[3490].start 20355.21284375
transcript.pyannote[3490].end 20357.37284375
transcript.pyannote[3491].speaker SPEAKER_17
transcript.pyannote[3491].start 20356.93409375
transcript.pyannote[3491].end 20362.30034375
transcript.pyannote[3492].speaker SPEAKER_47
transcript.pyannote[3492].start 20362.40159375
transcript.pyannote[3492].end 20365.82721875
transcript.pyannote[3493].speaker SPEAKER_17
transcript.pyannote[3493].start 20365.92846875
transcript.pyannote[3493].end 20367.00846875
transcript.pyannote[3494].speaker SPEAKER_47
transcript.pyannote[3494].start 20366.51909375
transcript.pyannote[3494].end 20370.97409375
transcript.pyannote[3495].speaker SPEAKER_17
transcript.pyannote[3495].start 20370.29909375
transcript.pyannote[3495].end 20376.77909375
transcript.pyannote[3496].speaker SPEAKER_47
transcript.pyannote[3496].start 20376.32346875
transcript.pyannote[3496].end 20380.94721875
transcript.pyannote[3497].speaker SPEAKER_17
transcript.pyannote[3497].start 20379.19221875
transcript.pyannote[3497].end 20386.16159375
transcript.pyannote[3498].speaker SPEAKER_47
transcript.pyannote[3498].start 20384.65971875
transcript.pyannote[3498].end 20388.22034375
transcript.pyannote[3499].speaker SPEAKER_04
transcript.pyannote[3499].start 20387.46096875
transcript.pyannote[3499].end 20387.49471875
transcript.pyannote[3500].speaker SPEAKER_17
transcript.pyannote[3500].start 20387.49471875
transcript.pyannote[3500].end 20387.52846875
transcript.pyannote[3501].speaker SPEAKER_04
transcript.pyannote[3501].start 20387.52846875
transcript.pyannote[3501].end 20388.15284375
transcript.pyannote[3502].speaker SPEAKER_04
transcript.pyannote[3502].start 20388.22034375
transcript.pyannote[3502].end 20388.64221875
transcript.pyannote[3503].speaker SPEAKER_47
transcript.pyannote[3503].start 20388.64221875
transcript.pyannote[3503].end 20388.69284375
transcript.pyannote[3504].speaker SPEAKER_04
transcript.pyannote[3504].start 20388.69284375
transcript.pyannote[3504].end 20389.75596875
transcript.pyannote[3505].speaker SPEAKER_04
transcript.pyannote[3505].start 20390.66721875
transcript.pyannote[3505].end 20396.03346875
transcript.pyannote[3506].speaker SPEAKER_04
transcript.pyannote[3506].start 20396.48909375
transcript.pyannote[3506].end 20400.15096875
transcript.pyannote[3507].speaker SPEAKER_04
transcript.pyannote[3507].start 20411.22096875
transcript.pyannote[3507].end 20412.62159375
transcript.pyannote[3508].speaker SPEAKER_01
transcript.pyannote[3508].start 20413.22909375
transcript.pyannote[3508].end 20415.97971875
transcript.pyannote[3509].speaker SPEAKER_04
transcript.pyannote[3509].start 20416.23284375
transcript.pyannote[3509].end 20417.38034375
transcript.pyannote[3510].speaker SPEAKER_01
transcript.pyannote[3510].start 20421.54846875
transcript.pyannote[3510].end 20421.70034375
transcript.pyannote[3511].speaker SPEAKER_04
transcript.pyannote[3511].start 20422.00409375
transcript.pyannote[3511].end 20422.52721875
transcript.pyannote[3512].speaker SPEAKER_44
transcript.pyannote[3512].start 20422.52721875
transcript.pyannote[3512].end 20422.62846875
transcript.pyannote[3513].speaker SPEAKER_01
transcript.pyannote[3513].start 20422.62846875
transcript.pyannote[3513].end 20423.10096875
transcript.pyannote[3514].speaker SPEAKER_01
transcript.pyannote[3514].start 20423.26971875
transcript.pyannote[3514].end 20439.23346875
transcript.pyannote[3515].speaker SPEAKER_44
transcript.pyannote[3515].start 20423.38784375
transcript.pyannote[3515].end 20423.48909375
transcript.pyannote[3516].speaker SPEAKER_01
transcript.pyannote[3516].start 20439.41909375
transcript.pyannote[3516].end 20441.81534375
transcript.pyannote[3517].speaker SPEAKER_01
transcript.pyannote[3517].start 20442.25409375
transcript.pyannote[3517].end 20443.13159375
transcript.pyannote[3518].speaker SPEAKER_01
transcript.pyannote[3518].start 20443.36784375
transcript.pyannote[3518].end 20468.84909375
transcript.pyannote[3519].speaker SPEAKER_44
transcript.pyannote[3519].start 20470.24971875
transcript.pyannote[3519].end 20470.67159375
transcript.pyannote[3520].speaker SPEAKER_30
transcript.pyannote[3520].start 20470.67159375
transcript.pyannote[3520].end 20474.80596875
transcript.pyannote[3521].speaker SPEAKER_01
transcript.pyannote[3521].start 20474.77221875
transcript.pyannote[3521].end 20479.22721875
transcript.pyannote[3522].speaker SPEAKER_30
transcript.pyannote[3522].start 20476.39221875
transcript.pyannote[3522].end 20476.83096875
transcript.pyannote[3523].speaker SPEAKER_30
transcript.pyannote[3523].start 20478.04596875
transcript.pyannote[3523].end 20488.44096875
transcript.pyannote[3524].speaker SPEAKER_01
transcript.pyannote[3524].start 20479.39596875
transcript.pyannote[3524].end 20480.08784375
transcript.pyannote[3525].speaker SPEAKER_01
transcript.pyannote[3525].start 20485.52159375
transcript.pyannote[3525].end 20485.96034375
transcript.pyannote[3526].speaker SPEAKER_01
transcript.pyannote[3526].start 20488.44096875
transcript.pyannote[3526].end 20491.61346875
transcript.pyannote[3527].speaker SPEAKER_30
transcript.pyannote[3527].start 20489.87534375
transcript.pyannote[3527].end 20491.51221875
transcript.pyannote[3528].speaker SPEAKER_30
transcript.pyannote[3528].start 20491.61346875
transcript.pyannote[3528].end 20491.63034375
transcript.pyannote[3529].speaker SPEAKER_30
transcript.pyannote[3529].start 20491.71471875
transcript.pyannote[3529].end 20494.78596875
transcript.pyannote[3530].speaker SPEAKER_01
transcript.pyannote[3530].start 20493.60471875
transcript.pyannote[3530].end 20495.78159375
transcript.pyannote[3531].speaker SPEAKER_30
transcript.pyannote[3531].start 20496.11909375
transcript.pyannote[3531].end 20503.45971875
transcript.pyannote[3532].speaker SPEAKER_06
transcript.pyannote[3532].start 20501.72159375
transcript.pyannote[3532].end 20511.37409375
transcript.pyannote[3533].speaker SPEAKER_01
transcript.pyannote[3533].start 20509.02846875
transcript.pyannote[3533].end 20509.04534375
transcript.pyannote[3534].speaker SPEAKER_30
transcript.pyannote[3534].start 20509.04534375
transcript.pyannote[3534].end 20510.07471875
transcript.pyannote[3535].speaker SPEAKER_01
transcript.pyannote[3535].start 20510.07471875
transcript.pyannote[3535].end 20510.12534375
transcript.pyannote[3536].speaker SPEAKER_30
transcript.pyannote[3536].start 20510.12534375
transcript.pyannote[3536].end 20510.24346875
transcript.pyannote[3537].speaker SPEAKER_01
transcript.pyannote[3537].start 20510.24346875
transcript.pyannote[3537].end 20513.28096875
transcript.pyannote[3538].speaker SPEAKER_44
transcript.pyannote[3538].start 20513.51721875
transcript.pyannote[3538].end 20513.53409375
transcript.pyannote[3539].speaker SPEAKER_01
transcript.pyannote[3539].start 20513.60159375
transcript.pyannote[3539].end 20524.72221875
transcript.pyannote[3540].speaker SPEAKER_06
transcript.pyannote[3540].start 20515.42409375
transcript.pyannote[3540].end 20515.96409375
transcript.pyannote[3541].speaker SPEAKER_44
transcript.pyannote[3541].start 20515.96409375
transcript.pyannote[3541].end 20516.03159375
transcript.pyannote[3542].speaker SPEAKER_06
transcript.pyannote[3542].start 20516.03159375
transcript.pyannote[3542].end 20516.97659375
transcript.pyannote[3543].speaker SPEAKER_44
transcript.pyannote[3543].start 20516.97659375
transcript.pyannote[3543].end 20517.93846875
transcript.pyannote[3544].speaker SPEAKER_06
transcript.pyannote[3544].start 20517.93846875
transcript.pyannote[3544].end 20517.97221875
transcript.pyannote[3545].speaker SPEAKER_44
transcript.pyannote[3545].start 20517.97221875
transcript.pyannote[3545].end 20517.98909375
transcript.pyannote[3546].speaker SPEAKER_44
transcript.pyannote[3546].start 20519.84534375
transcript.pyannote[3546].end 20519.99721875
transcript.pyannote[3547].speaker SPEAKER_44
transcript.pyannote[3547].start 20521.63409375
transcript.pyannote[3547].end 20521.65096875
transcript.pyannote[3548].speaker SPEAKER_06
transcript.pyannote[3548].start 20521.65096875
transcript.pyannote[3548].end 20521.97159375
transcript.pyannote[3549].speaker SPEAKER_35
transcript.pyannote[3549].start 20521.97159375
transcript.pyannote[3549].end 20522.00534375
transcript.pyannote[3550].speaker SPEAKER_06
transcript.pyannote[3550].start 20523.20346875
transcript.pyannote[3550].end 20523.54096875
transcript.pyannote[3551].speaker SPEAKER_00
transcript.pyannote[3551].start 20523.54096875
transcript.pyannote[3551].end 20523.59159375
transcript.pyannote[3552].speaker SPEAKER_01
transcript.pyannote[3552].start 20524.90784375
transcript.pyannote[3552].end 20575.06034375
transcript.pyannote[3553].speaker SPEAKER_00
transcript.pyannote[3553].start 20526.57846875
transcript.pyannote[3553].end 20526.64596875
transcript.pyannote[3554].speaker SPEAKER_35
transcript.pyannote[3554].start 20526.64596875
transcript.pyannote[3554].end 20526.71346875
transcript.pyannote[3555].speaker SPEAKER_00
transcript.pyannote[3555].start 20527.00034375
transcript.pyannote[3555].end 20527.01721875
transcript.pyannote[3556].speaker SPEAKER_44
transcript.pyannote[3556].start 20542.15409375
transcript.pyannote[3556].end 20542.35659375
transcript.pyannote[3557].speaker SPEAKER_01
transcript.pyannote[3557].start 20575.12784375
transcript.pyannote[3557].end 20584.37534375
transcript.pyannote[3558].speaker SPEAKER_23
transcript.pyannote[3558].start 20578.03034375
transcript.pyannote[3558].end 20578.33409375
transcript.pyannote[3559].speaker SPEAKER_01
transcript.pyannote[3559].start 20585.30346875
transcript.pyannote[3559].end 20606.44784375
transcript.pyannote[3560].speaker SPEAKER_01
transcript.pyannote[3560].start 20606.61659375
transcript.pyannote[3560].end 20630.35971875
transcript.pyannote[3561].speaker SPEAKER_06
transcript.pyannote[3561].start 20631.16971875
transcript.pyannote[3561].end 20635.59096875
transcript.pyannote[3562].speaker SPEAKER_06
transcript.pyannote[3562].start 20636.04659375
transcript.pyannote[3562].end 20643.65721875
transcript.pyannote[3563].speaker SPEAKER_06
transcript.pyannote[3563].start 20644.01159375
transcript.pyannote[3563].end 20647.03221875
transcript.pyannote[3564].speaker SPEAKER_06
transcript.pyannote[3564].start 20647.35284375
transcript.pyannote[3564].end 20649.34409375
transcript.pyannote[3565].speaker SPEAKER_01
transcript.pyannote[3565].start 20649.34409375
transcript.pyannote[3565].end 20649.83346875
transcript.pyannote[3566].speaker SPEAKER_06
transcript.pyannote[3566].start 20649.83346875
transcript.pyannote[3566].end 20650.03596875
transcript.pyannote[3567].speaker SPEAKER_01
transcript.pyannote[3567].start 20650.03596875
transcript.pyannote[3567].end 20650.98096875
transcript.pyannote[3568].speaker SPEAKER_01
transcript.pyannote[3568].start 20651.63909375
transcript.pyannote[3568].end 20657.54534375
transcript.pyannote[3569].speaker SPEAKER_06
transcript.pyannote[3569].start 20653.10721875
transcript.pyannote[3569].end 20654.71034375
transcript.pyannote[3570].speaker SPEAKER_06
transcript.pyannote[3570].start 20655.30096875
transcript.pyannote[3570].end 20655.85784375
transcript.pyannote[3571].speaker SPEAKER_06
transcript.pyannote[3571].start 20656.44846875
transcript.pyannote[3571].end 20660.19471875
transcript.pyannote[3572].speaker SPEAKER_06
transcript.pyannote[3572].start 20660.56596875
transcript.pyannote[3572].end 20662.40534375
transcript.pyannote[3573].speaker SPEAKER_01
transcript.pyannote[3573].start 20662.25346875
transcript.pyannote[3573].end 20662.57409375
transcript.pyannote[3574].speaker SPEAKER_06
transcript.pyannote[3574].start 20662.57409375
transcript.pyannote[3574].end 20662.62471875
transcript.pyannote[3575].speaker SPEAKER_06
transcript.pyannote[3575].start 20662.84409375
transcript.pyannote[3575].end 20667.97409375
transcript.pyannote[3576].speaker SPEAKER_01
transcript.pyannote[3576].start 20663.73846875
transcript.pyannote[3576].end 20664.31221875
transcript.pyannote[3577].speaker SPEAKER_01
transcript.pyannote[3577].start 20667.58596875
transcript.pyannote[3577].end 20667.61971875
transcript.pyannote[3578].speaker SPEAKER_44
transcript.pyannote[3578].start 20667.61971875
transcript.pyannote[3578].end 20667.67034375
transcript.pyannote[3579].speaker SPEAKER_44
transcript.pyannote[3579].start 20667.97409375
transcript.pyannote[3579].end 20667.99096875
transcript.pyannote[3580].speaker SPEAKER_06
transcript.pyannote[3580].start 20668.27784375
transcript.pyannote[3580].end 20671.78784375
transcript.pyannote[3581].speaker SPEAKER_06
transcript.pyannote[3581].start 20672.07471875
transcript.pyannote[3581].end 20672.66534375
transcript.pyannote[3582].speaker SPEAKER_06
transcript.pyannote[3582].start 20672.73284375
transcript.pyannote[3582].end 20681.64284375
transcript.pyannote[3583].speaker SPEAKER_44
transcript.pyannote[3583].start 20672.78346875
transcript.pyannote[3583].end 20675.02784375
transcript.pyannote[3584].speaker SPEAKER_01
transcript.pyannote[3584].start 20675.02784375
transcript.pyannote[3584].end 20675.88846875
transcript.pyannote[3585].speaker SPEAKER_23
transcript.pyannote[3585].start 20682.62159375
transcript.pyannote[3585].end 20683.73534375
transcript.pyannote[3586].speaker SPEAKER_23
transcript.pyannote[3586].start 20684.00534375
transcript.pyannote[3586].end 20689.60784375
transcript.pyannote[3587].speaker SPEAKER_23
transcript.pyannote[3587].start 20690.18159375
transcript.pyannote[3587].end 20694.58596875
transcript.pyannote[3588].speaker SPEAKER_23
transcript.pyannote[3588].start 20694.99096875
transcript.pyannote[3588].end 20702.01096875
transcript.pyannote[3589].speaker SPEAKER_01
transcript.pyannote[3589].start 20695.02471875
transcript.pyannote[3589].end 20695.59846875
transcript.pyannote[3590].speaker SPEAKER_01
transcript.pyannote[3590].start 20698.45034375
transcript.pyannote[3590].end 20700.23909375
transcript.pyannote[3591].speaker SPEAKER_23
transcript.pyannote[3591].start 20702.17971875
transcript.pyannote[3591].end 20703.32721875
transcript.pyannote[3592].speaker SPEAKER_01
transcript.pyannote[3592].start 20702.60159375
transcript.pyannote[3592].end 20711.89971875
transcript.pyannote[3593].speaker SPEAKER_23
transcript.pyannote[3593].start 20704.69409375
transcript.pyannote[3593].end 20705.72346875
transcript.pyannote[3594].speaker SPEAKER_23
transcript.pyannote[3594].start 20707.03971875
transcript.pyannote[3594].end 20709.55409375
transcript.pyannote[3595].speaker SPEAKER_23
transcript.pyannote[3595].start 20710.26284375
transcript.pyannote[3595].end 20720.25284375
transcript.pyannote[3596].speaker SPEAKER_01
transcript.pyannote[3596].start 20712.30471875
transcript.pyannote[3596].end 20713.01346875
transcript.pyannote[3597].speaker SPEAKER_01
transcript.pyannote[3597].start 20719.84784375
transcript.pyannote[3597].end 20726.14221875
transcript.pyannote[3598].speaker SPEAKER_01
transcript.pyannote[3598].start 20726.41221875
transcript.pyannote[3598].end 20735.50784375
transcript.pyannote[3599].speaker SPEAKER_00
transcript.pyannote[3599].start 20729.68596875
transcript.pyannote[3599].end 20729.70284375
transcript.pyannote[3600].speaker SPEAKER_44
transcript.pyannote[3600].start 20729.70284375
transcript.pyannote[3600].end 20729.71971875
transcript.pyannote[3601].speaker SPEAKER_23
transcript.pyannote[3601].start 20729.71971875
transcript.pyannote[3601].end 20730.19221875
transcript.pyannote[3602].speaker SPEAKER_23
transcript.pyannote[3602].start 20734.73159375
transcript.pyannote[3602].end 20740.58721875
transcript.pyannote[3603].speaker SPEAKER_01
transcript.pyannote[3603].start 20740.58721875
transcript.pyannote[3603].end 20740.68846875
transcript.pyannote[3604].speaker SPEAKER_23
transcript.pyannote[3604].start 20740.68846875
transcript.pyannote[3604].end 20742.03846875
transcript.pyannote[3605].speaker SPEAKER_01
transcript.pyannote[3605].start 20742.03846875
transcript.pyannote[3605].end 20750.86409375
transcript.pyannote[3606].speaker SPEAKER_23
transcript.pyannote[3606].start 20744.85659375
transcript.pyannote[3606].end 20745.83534375
transcript.pyannote[3607].speaker SPEAKER_44
transcript.pyannote[3607].start 20745.83534375
transcript.pyannote[3607].end 20746.18971875
transcript.pyannote[3608].speaker SPEAKER_12
transcript.pyannote[3608].start 20746.18971875
transcript.pyannote[3608].end 20746.35846875
transcript.pyannote[3609].speaker SPEAKER_44
transcript.pyannote[3609].start 20746.35846875
transcript.pyannote[3609].end 20746.39221875
transcript.pyannote[3610].speaker SPEAKER_12
transcript.pyannote[3610].start 20746.39221875
transcript.pyannote[3610].end 20746.42596875
transcript.pyannote[3611].speaker SPEAKER_01
transcript.pyannote[3611].start 20751.28596875
transcript.pyannote[3611].end 20761.66409375
transcript.pyannote[3612].speaker SPEAKER_01
transcript.pyannote[3612].start 20761.93409375
transcript.pyannote[3612].end 20781.59346875
transcript.pyannote[3613].speaker SPEAKER_01
transcript.pyannote[3613].start 20781.76221875
transcript.pyannote[3613].end 20782.65659375
transcript.pyannote[3614].speaker SPEAKER_01
transcript.pyannote[3614].start 20782.84221875
transcript.pyannote[3614].end 20785.74471875
transcript.pyannote[3615].speaker SPEAKER_01
transcript.pyannote[3615].start 20785.96409375
transcript.pyannote[3615].end 20822.32971875
transcript.pyannote[3616].speaker SPEAKER_01
transcript.pyannote[3616].start 20822.59971875
transcript.pyannote[3616].end 20823.54471875
transcript.pyannote[3617].speaker SPEAKER_06
transcript.pyannote[3617].start 20823.54471875
transcript.pyannote[3617].end 20827.10534375
transcript.pyannote[3618].speaker SPEAKER_06
transcript.pyannote[3618].start 20827.44284375
transcript.pyannote[3618].end 20829.61971875
transcript.pyannote[3619].speaker SPEAKER_06
transcript.pyannote[3619].start 20829.99096875
transcript.pyannote[3619].end 20835.89721875
transcript.pyannote[3620].speaker SPEAKER_06
transcript.pyannote[3620].start 20836.35284375
transcript.pyannote[3620].end 20840.26784375
transcript.pyannote[3621].speaker SPEAKER_06
transcript.pyannote[3621].start 20840.65596875
transcript.pyannote[3621].end 20841.58409375
transcript.pyannote[3622].speaker SPEAKER_06
transcript.pyannote[3622].start 20841.87096875
transcript.pyannote[3622].end 20845.51596875
transcript.pyannote[3623].speaker SPEAKER_06
transcript.pyannote[3623].start 20846.05596875
transcript.pyannote[3623].end 20847.52409375
transcript.pyannote[3624].speaker SPEAKER_06
transcript.pyannote[3624].start 20847.87846875
transcript.pyannote[3624].end 20858.03721875
transcript.pyannote[3625].speaker SPEAKER_01
transcript.pyannote[3625].start 20856.90659375
transcript.pyannote[3625].end 20857.96971875
transcript.pyannote[3626].speaker SPEAKER_01
transcript.pyannote[3626].start 20858.03721875
transcript.pyannote[3626].end 20869.07346875
transcript.pyannote[3627].speaker SPEAKER_06
transcript.pyannote[3627].start 20860.21409375
transcript.pyannote[3627].end 20862.69471875
transcript.pyannote[3628].speaker SPEAKER_05
transcript.pyannote[3628].start 20862.69471875
transcript.pyannote[3628].end 20862.71159375
transcript.pyannote[3629].speaker SPEAKER_05
transcript.pyannote[3629].start 20864.44971875
transcript.pyannote[3629].end 20864.48346875
transcript.pyannote[3630].speaker SPEAKER_05
transcript.pyannote[3630].start 20864.50034375
transcript.pyannote[3630].end 20864.66909375
transcript.pyannote[3631].speaker SPEAKER_05
transcript.pyannote[3631].start 20864.68596875
transcript.pyannote[3631].end 20864.98971875
transcript.pyannote[3632].speaker SPEAKER_01
transcript.pyannote[3632].start 20869.66409375
transcript.pyannote[3632].end 20869.83284375
transcript.pyannote[3633].speaker SPEAKER_01
transcript.pyannote[3633].start 20870.18721875
transcript.pyannote[3633].end 20876.53221875
transcript.pyannote[3634].speaker SPEAKER_01
transcript.pyannote[3634].start 20877.03846875
transcript.pyannote[3634].end 20885.57721875
transcript.pyannote[3635].speaker SPEAKER_01
transcript.pyannote[3635].start 20886.10034375
transcript.pyannote[3635].end 20892.98534375
transcript.pyannote[3636].speaker SPEAKER_01
transcript.pyannote[3636].start 20893.23846875
transcript.pyannote[3636].end 20913.13409375
transcript.pyannote[3637].speaker SPEAKER_04
transcript.pyannote[3637].start 20909.32034375
transcript.pyannote[3637].end 20909.72534375
transcript.pyannote[3638].speaker SPEAKER_04
transcript.pyannote[3638].start 20911.21034375
transcript.pyannote[3638].end 20915.29409375
transcript.pyannote[3639].speaker SPEAKER_01
transcript.pyannote[3639].start 20913.94409375
transcript.pyannote[3639].end 20914.02846875
transcript.pyannote[3640].speaker SPEAKER_01
transcript.pyannote[3640].start 20914.56846875
transcript.pyannote[3640].end 20914.61909375
transcript.pyannote[3641].speaker SPEAKER_01
transcript.pyannote[3641].start 20915.29409375
transcript.pyannote[3641].end 20917.79159375
transcript.pyannote[3642].speaker SPEAKER_06
transcript.pyannote[3642].start 20915.29409375
transcript.pyannote[3642].end 20919.02346875
transcript.pyannote[3643].speaker SPEAKER_01
transcript.pyannote[3643].start 20919.37784375
transcript.pyannote[3643].end 20921.11596875
transcript.pyannote[3644].speaker SPEAKER_06
transcript.pyannote[3644].start 20920.15409375
transcript.pyannote[3644].end 20920.18784375
transcript.pyannote[3645].speaker SPEAKER_08
transcript.pyannote[3645].start 20920.18784375
transcript.pyannote[3645].end 20920.27221875
transcript.pyannote[3646].speaker SPEAKER_06
transcript.pyannote[3646].start 20920.27221875
transcript.pyannote[3646].end 20920.30596875
transcript.pyannote[3647].speaker SPEAKER_08
transcript.pyannote[3647].start 20920.30596875
transcript.pyannote[3647].end 20920.84596875
transcript.pyannote[3648].speaker SPEAKER_06
transcript.pyannote[3648].start 20920.84596875
transcript.pyannote[3648].end 20921.04846875
transcript.pyannote[3649].speaker SPEAKER_04
transcript.pyannote[3649].start 20921.04846875
transcript.pyannote[3649].end 20926.87034375
transcript.pyannote[3650].speaker SPEAKER_06
transcript.pyannote[3650].start 20921.11596875
transcript.pyannote[3650].end 20923.02284375
transcript.pyannote[3651].speaker SPEAKER_01
transcript.pyannote[3651].start 20923.02284375
transcript.pyannote[3651].end 20924.81159375
transcript.pyannote[3652].speaker SPEAKER_04
transcript.pyannote[3652].start 20928.28784375
transcript.pyannote[3652].end 20933.62034375
transcript.pyannote[3653].speaker SPEAKER_40
transcript.pyannote[3653].start 20948.55471875
transcript.pyannote[3653].end 20951.35596875
transcript.pyannote[3654].speaker SPEAKER_04
transcript.pyannote[3654].start 20951.35596875
transcript.pyannote[3654].end 20951.76096875
transcript.pyannote[3655].speaker SPEAKER_40
transcript.pyannote[3655].start 20951.76096875
transcript.pyannote[3655].end 20951.92971875
transcript.pyannote[3656].speaker SPEAKER_04
transcript.pyannote[3656].start 20951.92971875
transcript.pyannote[3656].end 20951.94659375
transcript.pyannote[3657].speaker SPEAKER_04
transcript.pyannote[3657].start 20957.17784375
transcript.pyannote[3657].end 20957.76846875
transcript.pyannote[3658].speaker SPEAKER_40
transcript.pyannote[3658].start 20957.90346875
transcript.pyannote[3658].end 20960.43471875
transcript.pyannote[3659].speaker SPEAKER_04
transcript.pyannote[3659].start 20962.13909375
transcript.pyannote[3659].end 20962.96596875
transcript.pyannote[3660].speaker SPEAKER_05
transcript.pyannote[3660].start 20962.96596875
transcript.pyannote[3660].end 20963.37096875
transcript.pyannote[3661].speaker SPEAKER_31
transcript.pyannote[3661].start 20983.14846875
transcript.pyannote[3661].end 20983.16534375
transcript.pyannote[3662].speaker SPEAKER_40
transcript.pyannote[3662].start 20983.16534375
transcript.pyannote[3662].end 20983.51971875
transcript.pyannote[3663].speaker SPEAKER_40
transcript.pyannote[3663].start 20986.99596875
transcript.pyannote[3663].end 20991.99096875
transcript.pyannote[3664].speaker SPEAKER_40
transcript.pyannote[3664].start 20992.07534375
transcript.pyannote[3664].end 20994.75846875
transcript.pyannote[3665].speaker SPEAKER_40
transcript.pyannote[3665].start 20995.56846875
transcript.pyannote[3665].end 20996.81721875
transcript.pyannote[3666].speaker SPEAKER_40
transcript.pyannote[3666].start 20997.39096875
transcript.pyannote[3666].end 20999.85471875
transcript.pyannote[3667].speaker SPEAKER_40
transcript.pyannote[3667].start 21000.61409375
transcript.pyannote[3667].end 21002.01471875
transcript.pyannote[3668].speaker SPEAKER_40
transcript.pyannote[3668].start 21002.77409375
transcript.pyannote[3668].end 21003.71909375
transcript.pyannote[3669].speaker SPEAKER_40
transcript.pyannote[3669].start 21004.29284375
transcript.pyannote[3669].end 21005.71034375
transcript.pyannote[3670].speaker SPEAKER_40
transcript.pyannote[3670].start 21006.14909375
transcript.pyannote[3670].end 21007.21221875
transcript.pyannote[3671].speaker SPEAKER_40
transcript.pyannote[3671].start 21007.90409375
transcript.pyannote[3671].end 21008.79846875
transcript.pyannote[3672].speaker SPEAKER_40
transcript.pyannote[3672].start 21010.03034375
transcript.pyannote[3672].end 21012.19034375
transcript.pyannote[3673].speaker SPEAKER_40
transcript.pyannote[3673].start 21013.28721875
transcript.pyannote[3673].end 21014.23221875
transcript.pyannote[3674].speaker SPEAKER_06
transcript.pyannote[3674].start 21014.35034375
transcript.pyannote[3674].end 21014.78909375
transcript.pyannote[3675].speaker SPEAKER_06
transcript.pyannote[3675].start 21014.97471875
transcript.pyannote[3675].end 21015.02534375
transcript.pyannote[3676].speaker SPEAKER_06
transcript.pyannote[3676].start 21015.16034375
transcript.pyannote[3676].end 21016.34159375
transcript.pyannote[3677].speaker SPEAKER_40
transcript.pyannote[3677].start 21016.51034375
transcript.pyannote[3677].end 21021.43784375
transcript.pyannote[3678].speaker SPEAKER_40
transcript.pyannote[3678].start 21021.75846875
transcript.pyannote[3678].end 21026.38221875
transcript.pyannote[3679].speaker SPEAKER_06
transcript.pyannote[3679].start 21024.67784375
transcript.pyannote[3679].end 21024.76221875
transcript.pyannote[3680].speaker SPEAKER_40
transcript.pyannote[3680].start 21026.50034375
transcript.pyannote[3680].end 21031.86659375
transcript.pyannote[3681].speaker SPEAKER_40
transcript.pyannote[3681].start 21034.43159375
transcript.pyannote[3681].end 21037.03034375
transcript.pyannote[3682].speaker SPEAKER_40
transcript.pyannote[3682].start 21038.31284375
transcript.pyannote[3682].end 21039.73034375
transcript.pyannote[3683].speaker SPEAKER_40
transcript.pyannote[3683].start 21040.57409375
transcript.pyannote[3683].end 21041.19846875
transcript.pyannote[3684].speaker SPEAKER_06
transcript.pyannote[3684].start 21042.07596875
transcript.pyannote[3684].end 21042.58221875
transcript.pyannote[3685].speaker SPEAKER_40
transcript.pyannote[3685].start 21042.58221875
transcript.pyannote[3685].end 21045.55221875
transcript.pyannote[3686].speaker SPEAKER_40
transcript.pyannote[3686].start 21046.10909375
transcript.pyannote[3686].end 21047.69534375
transcript.pyannote[3687].speaker SPEAKER_40
transcript.pyannote[3687].start 21048.69096875
transcript.pyannote[3687].end 21050.02409375
transcript.pyannote[3688].speaker SPEAKER_40
transcript.pyannote[3688].start 21050.41221875
transcript.pyannote[3688].end 21051.77909375
transcript.pyannote[3689].speaker SPEAKER_40
transcript.pyannote[3689].start 21052.90971875
transcript.pyannote[3689].end 21056.18346875
transcript.pyannote[3690].speaker SPEAKER_40
transcript.pyannote[3690].start 21059.30534375
transcript.pyannote[3690].end 21059.84534375
transcript.pyannote[3691].speaker SPEAKER_40
transcript.pyannote[3691].start 21060.28409375
transcript.pyannote[3691].end 21060.99284375
transcript.pyannote[3692].speaker SPEAKER_40
transcript.pyannote[3692].start 21061.58346875
transcript.pyannote[3692].end 21064.48596875
transcript.pyannote[3693].speaker SPEAKER_40
transcript.pyannote[3693].start 21065.12721875
transcript.pyannote[3693].end 21067.40534375
transcript.pyannote[3694].speaker SPEAKER_40
transcript.pyannote[3694].start 21068.90721875
transcript.pyannote[3694].end 21076.92284375
transcript.pyannote[3695].speaker SPEAKER_44
transcript.pyannote[3695].start 21077.07471875
transcript.pyannote[3695].end 21077.41221875
transcript.pyannote[3696].speaker SPEAKER_40
transcript.pyannote[3696].start 21078.39096875
transcript.pyannote[3696].end 21079.38659375
transcript.pyannote[3697].speaker SPEAKER_40
transcript.pyannote[3697].start 21080.33159375
transcript.pyannote[3697].end 21081.69846875
transcript.pyannote[3698].speaker SPEAKER_40
transcript.pyannote[3698].start 21083.09909375
transcript.pyannote[3698].end 21084.41534375
transcript.pyannote[3699].speaker SPEAKER_40
transcript.pyannote[3699].start 21085.37721875
transcript.pyannote[3699].end 21086.82846875
transcript.pyannote[3700].speaker SPEAKER_40
transcript.pyannote[3700].start 21087.67221875
transcript.pyannote[3700].end 21090.03471875
transcript.pyannote[3701].speaker SPEAKER_40
transcript.pyannote[3701].start 21090.97971875
transcript.pyannote[3701].end 21093.39284375
transcript.pyannote[3702].speaker SPEAKER_40
transcript.pyannote[3702].start 21094.15221875
transcript.pyannote[3702].end 21095.33346875
transcript.pyannote[3703].speaker SPEAKER_06
transcript.pyannote[3703].start 21096.00846875
transcript.pyannote[3703].end 21105.18846875
transcript.pyannote[3704].speaker SPEAKER_40
transcript.pyannote[3704].start 21098.28659375
transcript.pyannote[3704].end 21098.97846875
transcript.pyannote[3705].speaker SPEAKER_40
transcript.pyannote[3705].start 21099.99096875
transcript.pyannote[3705].end 21101.66159375
transcript.pyannote[3706].speaker SPEAKER_40
transcript.pyannote[3706].start 21103.14659375
transcript.pyannote[3706].end 21103.82159375
transcript.pyannote[3707].speaker SPEAKER_40
transcript.pyannote[3707].start 21104.81721875
transcript.pyannote[3707].end 21111.76971875
transcript.pyannote[3708].speaker SPEAKER_06
transcript.pyannote[3708].start 21107.21346875
transcript.pyannote[3708].end 21108.34409375
transcript.pyannote[3709].speaker SPEAKER_40
transcript.pyannote[3709].start 21112.36034375
transcript.pyannote[3709].end 21115.95471875
transcript.pyannote[3710].speaker SPEAKER_06
transcript.pyannote[3710].start 21114.04784375
transcript.pyannote[3710].end 21115.14471875
transcript.pyannote[3711].speaker SPEAKER_06
transcript.pyannote[3711].start 21115.95471875
transcript.pyannote[3711].end 21116.20784375
transcript.pyannote[3712].speaker SPEAKER_40
transcript.pyannote[3712].start 21116.44409375
transcript.pyannote[3712].end 21118.01346875
transcript.pyannote[3713].speaker SPEAKER_40
transcript.pyannote[3713].start 21118.58721875
transcript.pyannote[3713].end 21120.73034375
transcript.pyannote[3714].speaker SPEAKER_40
transcript.pyannote[3714].start 21121.42221875
transcript.pyannote[3714].end 21124.98284375
transcript.pyannote[3715].speaker SPEAKER_40
transcript.pyannote[3715].start 21125.38784375
transcript.pyannote[3715].end 21131.69909375
transcript.pyannote[3716].speaker SPEAKER_06
transcript.pyannote[3716].start 21131.69909375
transcript.pyannote[3716].end 21137.74034375
transcript.pyannote[3717].speaker SPEAKER_40
transcript.pyannote[3717].start 21138.17909375
transcript.pyannote[3717].end 21145.97534375
transcript.pyannote[3718].speaker SPEAKER_06
transcript.pyannote[3718].start 21138.21284375
transcript.pyannote[3718].end 21139.10721875
transcript.pyannote[3719].speaker SPEAKER_06
transcript.pyannote[3719].start 21145.46909375
transcript.pyannote[3719].end 21149.97471875
transcript.pyannote[3720].speaker SPEAKER_40
transcript.pyannote[3720].start 21147.59534375
transcript.pyannote[3720].end 21148.38846875
transcript.pyannote[3721].speaker SPEAKER_24
transcript.pyannote[3721].start 21148.38846875
transcript.pyannote[3721].end 21148.42221875
transcript.pyannote[3722].speaker SPEAKER_24
transcript.pyannote[3722].start 21149.97471875
transcript.pyannote[3722].end 21153.67034375
transcript.pyannote[3723].speaker SPEAKER_06
transcript.pyannote[3723].start 21150.32909375
transcript.pyannote[3723].end 21154.73346875
transcript.pyannote[3724].speaker SPEAKER_24
transcript.pyannote[3724].start 21153.78846875
transcript.pyannote[3724].end 21159.49221875
transcript.pyannote[3725].speaker SPEAKER_06
transcript.pyannote[3725].start 21156.65721875
transcript.pyannote[3725].end 21157.02846875
transcript.pyannote[3726].speaker SPEAKER_24
transcript.pyannote[3726].start 21159.91409375
transcript.pyannote[3726].end 21161.83784375
transcript.pyannote[3727].speaker SPEAKER_24
transcript.pyannote[3727].start 21162.12471875
transcript.pyannote[3727].end 21165.70221875
transcript.pyannote[3728].speaker SPEAKER_40
transcript.pyannote[3728].start 21165.07784375
transcript.pyannote[3728].end 21172.01346875
transcript.pyannote[3729].speaker SPEAKER_40
transcript.pyannote[3729].start 21172.89096875
transcript.pyannote[3729].end 21175.40534375
transcript.pyannote[3730].speaker SPEAKER_40
transcript.pyannote[3730].start 21175.89471875
transcript.pyannote[3730].end 21179.82659375
transcript.pyannote[3731].speaker SPEAKER_40
transcript.pyannote[3731].start 21180.51846875
transcript.pyannote[3731].end 21183.20159375
transcript.pyannote[3732].speaker SPEAKER_24
transcript.pyannote[3732].start 21183.20159375
transcript.pyannote[3732].end 21184.11284375
transcript.pyannote[3733].speaker SPEAKER_40
transcript.pyannote[3733].start 21183.35346875
transcript.pyannote[3733].end 21183.84284375
transcript.pyannote[3734].speaker SPEAKER_40
transcript.pyannote[3734].start 21184.31534375
transcript.pyannote[3734].end 21184.66971875
transcript.pyannote[3735].speaker SPEAKER_40
transcript.pyannote[3735].start 21185.63159375
transcript.pyannote[3735].end 21187.48784375
transcript.pyannote[3736].speaker SPEAKER_40
transcript.pyannote[3736].start 21188.09534375
transcript.pyannote[3736].end 21190.54221875
transcript.pyannote[3737].speaker SPEAKER_40
transcript.pyannote[3737].start 21191.52096875
transcript.pyannote[3737].end 21193.20846875
transcript.pyannote[3738].speaker SPEAKER_40
transcript.pyannote[3738].start 21194.45721875
transcript.pyannote[3738].end 21195.45284375
transcript.pyannote[3739].speaker SPEAKER_40
transcript.pyannote[3739].start 21195.79034375
transcript.pyannote[3739].end 21197.20784375
transcript.pyannote[3740].speaker SPEAKER_40
transcript.pyannote[3740].start 21199.94159375
transcript.pyannote[3740].end 21200.21159375
transcript.pyannote[3741].speaker SPEAKER_40
transcript.pyannote[3741].start 21200.86971875
transcript.pyannote[3741].end 21202.69221875
transcript.pyannote[3742].speaker SPEAKER_44
transcript.pyannote[3742].start 21202.86096875
transcript.pyannote[3742].end 21203.06346875
transcript.pyannote[3743].speaker SPEAKER_40
transcript.pyannote[3743].start 21203.65409375
transcript.pyannote[3743].end 21204.46409375
transcript.pyannote[3744].speaker SPEAKER_40
transcript.pyannote[3744].start 21205.05471875
transcript.pyannote[3744].end 21215.50034375
transcript.pyannote[3745].speaker SPEAKER_06
transcript.pyannote[3745].start 21213.84659375
transcript.pyannote[3745].end 21214.60596875
transcript.pyannote[3746].speaker SPEAKER_06
transcript.pyannote[3746].start 21217.12034375
transcript.pyannote[3746].end 21217.35659375
transcript.pyannote[3747].speaker SPEAKER_06
transcript.pyannote[3747].start 21217.60971875
transcript.pyannote[3747].end 21218.13284375
transcript.pyannote[3748].speaker SPEAKER_40
transcript.pyannote[3748].start 21218.41971875
transcript.pyannote[3748].end 21221.59221875
transcript.pyannote[3749].speaker SPEAKER_40
transcript.pyannote[3749].start 21222.08159375
transcript.pyannote[3749].end 21222.99284375
transcript.pyannote[3750].speaker SPEAKER_40
transcript.pyannote[3750].start 21223.92096875
transcript.pyannote[3750].end 21224.76471875
transcript.pyannote[3751].speaker SPEAKER_40
transcript.pyannote[3751].start 21225.55784375
transcript.pyannote[3751].end 21227.14409375
transcript.pyannote[3752].speaker SPEAKER_40
transcript.pyannote[3752].start 21227.41409375
transcript.pyannote[3752].end 21228.57846875
transcript.pyannote[3753].speaker SPEAKER_40
transcript.pyannote[3753].start 21228.61221875
transcript.pyannote[3753].end 21228.62909375
transcript.pyannote[3754].speaker SPEAKER_06
transcript.pyannote[3754].start 21228.62909375
transcript.pyannote[3754].end 21229.67534375
transcript.pyannote[3755].speaker SPEAKER_40
transcript.pyannote[3755].start 21229.23659375
transcript.pyannote[3755].end 21230.09721875
transcript.pyannote[3756].speaker SPEAKER_06
transcript.pyannote[3756].start 21230.09721875
transcript.pyannote[3756].end 21230.60346875
transcript.pyannote[3757].speaker SPEAKER_40
transcript.pyannote[3757].start 21230.28284375
transcript.pyannote[3757].end 21230.99159375
transcript.pyannote[3758].speaker SPEAKER_06
transcript.pyannote[3758].start 21231.41346875
transcript.pyannote[3758].end 21234.16409375
transcript.pyannote[3759].speaker SPEAKER_31
transcript.pyannote[3759].start 21234.16409375
transcript.pyannote[3759].end 21249.82409375
transcript.pyannote[3760].speaker SPEAKER_06
transcript.pyannote[3760].start 21249.31784375
transcript.pyannote[3760].end 21256.64159375
transcript.pyannote[3761].speaker SPEAKER_06
transcript.pyannote[3761].start 21256.77659375
transcript.pyannote[3761].end 21263.94846875
transcript.pyannote[3762].speaker SPEAKER_40
transcript.pyannote[3762].start 21263.39159375
transcript.pyannote[3762].end 21264.03284375
transcript.pyannote[3763].speaker SPEAKER_06
transcript.pyannote[3763].start 21264.20159375
transcript.pyannote[3763].end 21264.43784375
transcript.pyannote[3764].speaker SPEAKER_40
transcript.pyannote[3764].start 21265.39971875
transcript.pyannote[3764].end 21270.63096875
transcript.pyannote[3765].speaker SPEAKER_06
transcript.pyannote[3765].start 21271.47471875
transcript.pyannote[3765].end 21272.30159375
transcript.pyannote[3766].speaker SPEAKER_40
transcript.pyannote[3766].start 21271.98096875
transcript.pyannote[3766].end 21274.03971875
transcript.pyannote[3767].speaker SPEAKER_40
transcript.pyannote[3767].start 21274.81596875
transcript.pyannote[3767].end 21277.80284375
transcript.pyannote[3768].speaker SPEAKER_40
transcript.pyannote[3768].start 21278.47784375
transcript.pyannote[3768].end 21279.00096875
transcript.pyannote[3769].speaker SPEAKER_40
transcript.pyannote[3769].start 21280.57034375
transcript.pyannote[3769].end 21288.16409375
transcript.pyannote[3770].speaker SPEAKER_40
transcript.pyannote[3770].start 21288.65346875
transcript.pyannote[3770].end 21291.23534375
transcript.pyannote[3771].speaker SPEAKER_40
transcript.pyannote[3771].start 21292.34909375
transcript.pyannote[3771].end 21297.61409375
transcript.pyannote[3772].speaker SPEAKER_40
transcript.pyannote[3772].start 21298.18784375
transcript.pyannote[3772].end 21311.58659375
transcript.pyannote[3773].speaker SPEAKER_40
transcript.pyannote[3773].start 21311.83971875
transcript.pyannote[3773].end 21314.75909375
transcript.pyannote[3774].speaker SPEAKER_25
transcript.pyannote[3774].start 21314.70846875
transcript.pyannote[3774].end 21315.01221875
transcript.pyannote[3775].speaker SPEAKER_40
transcript.pyannote[3775].start 21315.01221875
transcript.pyannote[3775].end 21318.87659375
transcript.pyannote[3776].speaker SPEAKER_40
transcript.pyannote[3776].start 21320.64846875
transcript.pyannote[3776].end 21320.96909375
transcript.pyannote[3777].speaker SPEAKER_40
transcript.pyannote[3777].start 21322.38659375
transcript.pyannote[3777].end 21324.69846875
transcript.pyannote[3778].speaker SPEAKER_40
transcript.pyannote[3778].start 21324.81659375
transcript.pyannote[3778].end 21326.41971875
transcript.pyannote[3779].speaker SPEAKER_40
transcript.pyannote[3779].start 21327.04409375
transcript.pyannote[3779].end 21327.31409375
transcript.pyannote[3780].speaker SPEAKER_04
transcript.pyannote[3780].start 21328.29284375
transcript.pyannote[3780].end 21329.42346875
transcript.pyannote[3781].speaker SPEAKER_05
transcript.pyannote[3781].start 21330.28409375
transcript.pyannote[3781].end 21330.52034375
transcript.pyannote[3782].speaker SPEAKER_05
transcript.pyannote[3782].start 21330.53721875
transcript.pyannote[3782].end 21330.58784375
transcript.pyannote[3783].speaker SPEAKER_40
transcript.pyannote[3783].start 21332.59596875
transcript.pyannote[3783].end 21333.62534375
transcript.pyannote[3784].speaker SPEAKER_40
transcript.pyannote[3784].start 21335.49846875
transcript.pyannote[3784].end 21336.10596875
transcript.pyannote[3785].speaker SPEAKER_40
transcript.pyannote[3785].start 21336.47721875
transcript.pyannote[3785].end 21341.97846875
transcript.pyannote[3786].speaker SPEAKER_40
transcript.pyannote[3786].start 21342.95721875
transcript.pyannote[3786].end 21343.83471875
transcript.pyannote[3787].speaker SPEAKER_40
transcript.pyannote[3787].start 21345.01596875
transcript.pyannote[3787].end 21345.91034375
transcript.pyannote[3788].speaker SPEAKER_40
transcript.pyannote[3788].start 21346.90596875
transcript.pyannote[3788].end 21348.67784375
transcript.pyannote[3789].speaker SPEAKER_40
transcript.pyannote[3789].start 21349.72409375
transcript.pyannote[3789].end 21353.18346875
transcript.pyannote[3790].speaker SPEAKER_40
transcript.pyannote[3790].start 21354.82034375
transcript.pyannote[3790].end 21355.05659375
transcript.pyannote[3791].speaker SPEAKER_40
transcript.pyannote[3791].start 21355.46159375
transcript.pyannote[3791].end 21356.33909375
transcript.pyannote[3792].speaker SPEAKER_40
transcript.pyannote[3792].start 21356.82846875
transcript.pyannote[3792].end 21357.80721875
transcript.pyannote[3793].speaker SPEAKER_40
transcript.pyannote[3793].start 21359.54534375
transcript.pyannote[3793].end 21360.28784375
transcript.pyannote[3794].speaker SPEAKER_40
transcript.pyannote[3794].start 21361.65471875
transcript.pyannote[3794].end 21362.75159375
transcript.pyannote[3795].speaker SPEAKER_40
transcript.pyannote[3795].start 21364.01721875
transcript.pyannote[3795].end 21365.33346875
transcript.pyannote[3796].speaker SPEAKER_40
transcript.pyannote[3796].start 21366.26159375
transcript.pyannote[3796].end 21368.77596875
transcript.pyannote[3797].speaker SPEAKER_40
transcript.pyannote[3797].start 21369.31596875
transcript.pyannote[3797].end 21371.50971875
transcript.pyannote[3798].speaker SPEAKER_40
transcript.pyannote[3798].start 21372.48846875
transcript.pyannote[3798].end 21374.47971875
transcript.pyannote[3799].speaker SPEAKER_30
transcript.pyannote[3799].start 21374.53034375
transcript.pyannote[3799].end 21374.90159375
transcript.pyannote[3800].speaker SPEAKER_40
transcript.pyannote[3800].start 21375.37409375
transcript.pyannote[3800].end 21376.57221875
transcript.pyannote[3801].speaker SPEAKER_40
transcript.pyannote[3801].start 21378.32721875
transcript.pyannote[3801].end 21381.56721875
transcript.pyannote[3802].speaker SPEAKER_40
transcript.pyannote[3802].start 21381.75284375
transcript.pyannote[3802].end 21382.49534375
transcript.pyannote[3803].speaker SPEAKER_40
transcript.pyannote[3803].start 21383.52471875
transcript.pyannote[3803].end 21384.53721875
transcript.pyannote[3804].speaker SPEAKER_40
transcript.pyannote[3804].start 21385.70159375
transcript.pyannote[3804].end 21386.47784375
transcript.pyannote[3805].speaker SPEAKER_40
transcript.pyannote[3805].start 21386.81534375
transcript.pyannote[3805].end 21388.87409375
transcript.pyannote[3806].speaker SPEAKER_40
transcript.pyannote[3806].start 21390.27471875
transcript.pyannote[3806].end 21391.65846875
transcript.pyannote[3807].speaker SPEAKER_40
transcript.pyannote[3807].start 21392.06346875
transcript.pyannote[3807].end 21393.78471875
transcript.pyannote[3808].speaker SPEAKER_40
transcript.pyannote[3808].start 21395.67471875
transcript.pyannote[3808].end 21398.27346875
transcript.pyannote[3809].speaker SPEAKER_40
transcript.pyannote[3809].start 21399.43784375
transcript.pyannote[3809].end 21400.78784375
transcript.pyannote[3810].speaker SPEAKER_40
transcript.pyannote[3810].start 21400.83846875
transcript.pyannote[3810].end 21402.52596875
transcript.pyannote[3811].speaker SPEAKER_40
transcript.pyannote[3811].start 21403.23471875
transcript.pyannote[3811].end 21404.53409375
transcript.pyannote[3812].speaker SPEAKER_40
transcript.pyannote[3812].start 21405.00659375
transcript.pyannote[3812].end 21406.23846875
transcript.pyannote[3813].speaker SPEAKER_40
transcript.pyannote[3813].start 21407.16659375
transcript.pyannote[3813].end 21408.26346875
transcript.pyannote[3814].speaker SPEAKER_40
transcript.pyannote[3814].start 21409.20846875
transcript.pyannote[3814].end 21409.78221875
transcript.pyannote[3815].speaker SPEAKER_40
transcript.pyannote[3815].start 21409.90034375
transcript.pyannote[3815].end 21412.04346875
transcript.pyannote[3816].speaker SPEAKER_40
transcript.pyannote[3816].start 21412.93784375
transcript.pyannote[3816].end 21416.73471875
transcript.pyannote[3817].speaker SPEAKER_40
transcript.pyannote[3817].start 21417.13971875
transcript.pyannote[3817].end 21425.03721875
transcript.pyannote[3818].speaker SPEAKER_04
transcript.pyannote[3818].start 21420.48096875
transcript.pyannote[3818].end 21420.86909375
transcript.pyannote[3819].speaker SPEAKER_04
transcript.pyannote[3819].start 21422.70846875
transcript.pyannote[3819].end 21422.99534375
transcript.pyannote[3820].speaker SPEAKER_04
transcript.pyannote[3820].start 21424.31159375
transcript.pyannote[3820].end 21427.77096875
transcript.pyannote[3821].speaker SPEAKER_40
transcript.pyannote[3821].start 21426.91034375
transcript.pyannote[3821].end 21426.99471875
transcript.pyannote[3822].speaker SPEAKER_40
transcript.pyannote[3822].start 21427.77096875
transcript.pyannote[3822].end 21430.26846875
transcript.pyannote[3823].speaker SPEAKER_04
transcript.pyannote[3823].start 21430.26846875
transcript.pyannote[3823].end 21433.37346875
transcript.pyannote[3824].speaker SPEAKER_40
transcript.pyannote[3824].start 21430.57221875
transcript.pyannote[3824].end 21431.11221875
transcript.pyannote[3825].speaker SPEAKER_04
transcript.pyannote[3825].start 21433.87971875
transcript.pyannote[3825].end 21434.72346875
transcript.pyannote[3826].speaker SPEAKER_04
transcript.pyannote[3826].start 21435.53346875
transcript.pyannote[3826].end 21438.41909375
transcript.pyannote[3827].speaker SPEAKER_20
transcript.pyannote[3827].start 21446.21534375
transcript.pyannote[3827].end 21449.37096875
transcript.pyannote[3828].speaker SPEAKER_04
transcript.pyannote[3828].start 21449.06721875
transcript.pyannote[3828].end 21449.92784375
transcript.pyannote[3829].speaker SPEAKER_04
transcript.pyannote[3829].start 21454.83846875
transcript.pyannote[3829].end 21455.91846875
transcript.pyannote[3830].speaker SPEAKER_06
transcript.pyannote[3830].start 21454.97346875
transcript.pyannote[3830].end 21455.02409375
transcript.pyannote[3831].speaker SPEAKER_20
transcript.pyannote[3831].start 21455.02409375
transcript.pyannote[3831].end 21455.83409375
transcript.pyannote[3832].speaker SPEAKER_44
transcript.pyannote[3832].start 21455.91846875
transcript.pyannote[3832].end 21455.93534375
transcript.pyannote[3833].speaker SPEAKER_04
transcript.pyannote[3833].start 21455.93534375
transcript.pyannote[3833].end 21456.86346875
transcript.pyannote[3834].speaker SPEAKER_04
transcript.pyannote[3834].start 21458.60159375
transcript.pyannote[3834].end 21459.93471875
transcript.pyannote[3835].speaker SPEAKER_20
transcript.pyannote[3835].start 21467.78159375
transcript.pyannote[3835].end 21565.70721875
transcript.pyannote[3836].speaker SPEAKER_00
transcript.pyannote[3836].start 21542.70659375
transcript.pyannote[3836].end 21542.87534375
transcript.pyannote[3837].speaker SPEAKER_19
transcript.pyannote[3837].start 21542.87534375
transcript.pyannote[3837].end 21542.90909375
transcript.pyannote[3838].speaker SPEAKER_00
transcript.pyannote[3838].start 21542.90909375
transcript.pyannote[3838].end 21543.02721875
transcript.pyannote[3839].speaker SPEAKER_20
transcript.pyannote[3839].start 21566.12909375
transcript.pyannote[3839].end 21567.42846875
transcript.pyannote[3840].speaker SPEAKER_20
transcript.pyannote[3840].start 21567.74909375
transcript.pyannote[3840].end 21645.98159375
transcript.pyannote[3841].speaker SPEAKER_44
transcript.pyannote[3841].start 21593.17971875
transcript.pyannote[3841].end 21593.43284375
transcript.pyannote[3842].speaker SPEAKER_20
transcript.pyannote[3842].start 21646.33596875
transcript.pyannote[3842].end 21652.54596875
transcript.pyannote[3843].speaker SPEAKER_20
transcript.pyannote[3843].start 21652.66409375
transcript.pyannote[3843].end 21698.04096875
transcript.pyannote[3844].speaker SPEAKER_06
transcript.pyannote[3844].start 21698.04096875
transcript.pyannote[3844].end 21705.53346875
transcript.pyannote[3845].speaker SPEAKER_20
transcript.pyannote[3845].start 21703.71096875
transcript.pyannote[3845].end 21704.35221875
transcript.pyannote[3846].speaker SPEAKER_06
transcript.pyannote[3846].start 21705.83721875
transcript.pyannote[3846].end 21711.43971875
transcript.pyannote[3847].speaker SPEAKER_06
transcript.pyannote[3847].start 21711.72659375
transcript.pyannote[3847].end 21713.21159375
transcript.pyannote[3848].speaker SPEAKER_06
transcript.pyannote[3848].start 21713.54909375
transcript.pyannote[3848].end 21717.07596875
transcript.pyannote[3849].speaker SPEAKER_06
transcript.pyannote[3849].start 21717.43034375
transcript.pyannote[3849].end 21728.44971875
transcript.pyannote[3850].speaker SPEAKER_31
transcript.pyannote[3850].start 21727.33596875
transcript.pyannote[3850].end 21727.63971875
transcript.pyannote[3851].speaker SPEAKER_20
transcript.pyannote[3851].start 21727.63971875
transcript.pyannote[3851].end 21728.87159375
transcript.pyannote[3852].speaker SPEAKER_31
transcript.pyannote[3852].start 21728.44971875
transcript.pyannote[3852].end 21728.73659375
transcript.pyannote[3853].speaker SPEAKER_06
transcript.pyannote[3853].start 21728.73659375
transcript.pyannote[3853].end 21728.75346875
transcript.pyannote[3854].speaker SPEAKER_31
transcript.pyannote[3854].start 21728.75346875
transcript.pyannote[3854].end 21739.50284375
transcript.pyannote[3855].speaker SPEAKER_20
transcript.pyannote[3855].start 21738.79409375
transcript.pyannote[3855].end 21742.43909375
transcript.pyannote[3856].speaker SPEAKER_31
transcript.pyannote[3856].start 21740.75159375
transcript.pyannote[3856].end 21740.95409375
transcript.pyannote[3857].speaker SPEAKER_31
transcript.pyannote[3857].start 21742.16909375
transcript.pyannote[3857].end 21744.07596875
transcript.pyannote[3858].speaker SPEAKER_20
transcript.pyannote[3858].start 21743.18159375
transcript.pyannote[3858].end 21748.61534375
transcript.pyannote[3859].speaker SPEAKER_31
transcript.pyannote[3859].start 21744.90284375
transcript.pyannote[3859].end 21745.56096875
transcript.pyannote[3860].speaker SPEAKER_31
transcript.pyannote[3860].start 21747.72096875
transcript.pyannote[3860].end 21749.77971875
transcript.pyannote[3861].speaker SPEAKER_20
transcript.pyannote[3861].start 21749.30721875
transcript.pyannote[3861].end 21764.14034375
transcript.pyannote[3862].speaker SPEAKER_31
transcript.pyannote[3862].start 21753.01971875
transcript.pyannote[3862].end 21753.71159375
transcript.pyannote[3863].speaker SPEAKER_31
transcript.pyannote[3863].start 21760.09034375
transcript.pyannote[3863].end 21761.64284375
transcript.pyannote[3864].speaker SPEAKER_31
transcript.pyannote[3864].start 21762.70596875
transcript.pyannote[3864].end 21766.94159375
transcript.pyannote[3865].speaker SPEAKER_20
transcript.pyannote[3865].start 21765.69284375
transcript.pyannote[3865].end 21789.77346875
transcript.pyannote[3866].speaker SPEAKER_06
transcript.pyannote[3866].start 21790.11096875
transcript.pyannote[3866].end 21792.22034375
transcript.pyannote[3867].speaker SPEAKER_20
transcript.pyannote[3867].start 21792.22034375
transcript.pyannote[3867].end 21793.46909375
transcript.pyannote[3868].speaker SPEAKER_06
transcript.pyannote[3868].start 21792.55784375
transcript.pyannote[3868].end 21794.71784375
transcript.pyannote[3869].speaker SPEAKER_20
transcript.pyannote[3869].start 21794.71784375
transcript.pyannote[3869].end 21794.98784375
transcript.pyannote[3870].speaker SPEAKER_06
transcript.pyannote[3870].start 21794.98784375
transcript.pyannote[3870].end 21795.07221875
transcript.pyannote[3871].speaker SPEAKER_20
transcript.pyannote[3871].start 21795.07221875
transcript.pyannote[3871].end 21797.85659375
transcript.pyannote[3872].speaker SPEAKER_31
transcript.pyannote[3872].start 21795.12284375
transcript.pyannote[3872].end 21795.73034375
transcript.pyannote[3873].speaker SPEAKER_31
transcript.pyannote[3873].start 21797.73846875
transcript.pyannote[3873].end 21803.69534375
transcript.pyannote[3874].speaker SPEAKER_20
transcript.pyannote[3874].start 21804.10034375
transcript.pyannote[3874].end 21810.79971875
transcript.pyannote[3875].speaker SPEAKER_06
transcript.pyannote[3875].start 21807.82971875
transcript.pyannote[3875].end 21808.01534375
transcript.pyannote[3876].speaker SPEAKER_06
transcript.pyannote[3876].start 21808.09971875
transcript.pyannote[3876].end 21808.11659375
transcript.pyannote[3877].speaker SPEAKER_06
transcript.pyannote[3877].start 21810.79971875
transcript.pyannote[3877].end 21814.25909375
transcript.pyannote[3878].speaker SPEAKER_20
transcript.pyannote[3878].start 21814.36034375
transcript.pyannote[3878].end 21817.68471875
transcript.pyannote[3879].speaker SPEAKER_06
transcript.pyannote[3879].start 21819.89534375
transcript.pyannote[3879].end 21824.31659375
transcript.pyannote[3880].speaker SPEAKER_20
transcript.pyannote[3880].start 21824.26596875
transcript.pyannote[3880].end 21855.06284375
transcript.pyannote[3881].speaker SPEAKER_20
transcript.pyannote[3881].start 21855.56909375
transcript.pyannote[3881].end 21887.85096875
transcript.pyannote[3882].speaker SPEAKER_06
transcript.pyannote[3882].start 21887.88471875
transcript.pyannote[3882].end 21892.35659375
transcript.pyannote[3883].speaker SPEAKER_20
transcript.pyannote[3883].start 21890.43284375
transcript.pyannote[3883].end 21897.55409375
transcript.pyannote[3884].speaker SPEAKER_04
transcript.pyannote[3884].start 21895.73159375
transcript.pyannote[3884].end 21903.59534375
transcript.pyannote[3885].speaker SPEAKER_04
transcript.pyannote[3885].start 21903.74721875
transcript.pyannote[3885].end 21905.63721875
transcript.pyannote[3886].speaker SPEAKER_04
transcript.pyannote[3886].start 21905.87346875
transcript.pyannote[3886].end 21911.83034375
transcript.pyannote[3887].speaker SPEAKER_27
transcript.pyannote[3887].start 21923.37284375
transcript.pyannote[3887].end 21924.60471875
transcript.pyannote[3888].speaker SPEAKER_27
transcript.pyannote[3888].start 21924.92534375
transcript.pyannote[3888].end 21925.81971875
transcript.pyannote[3889].speaker SPEAKER_35
transcript.pyannote[3889].start 21930.37596875
transcript.pyannote[3889].end 21930.93284375
transcript.pyannote[3890].speaker SPEAKER_27
transcript.pyannote[3890].start 21930.93284375
transcript.pyannote[3890].end 21930.96659375
transcript.pyannote[3891].speaker SPEAKER_27
transcript.pyannote[3891].start 21932.01284375
transcript.pyannote[3891].end 21932.95784375
transcript.pyannote[3892].speaker SPEAKER_27
transcript.pyannote[3892].start 21933.78471875
transcript.pyannote[3892].end 21934.72971875
transcript.pyannote[3893].speaker SPEAKER_27
transcript.pyannote[3893].start 21934.88159375
transcript.pyannote[3893].end 21936.72096875
transcript.pyannote[3894].speaker SPEAKER_27
transcript.pyannote[3894].start 21936.94034375
transcript.pyannote[3894].end 21939.23534375
transcript.pyannote[3895].speaker SPEAKER_06
transcript.pyannote[3895].start 21938.86409375
transcript.pyannote[3895].end 21939.21846875
transcript.pyannote[3896].speaker SPEAKER_06
transcript.pyannote[3896].start 21939.23534375
transcript.pyannote[3896].end 21939.64034375
transcript.pyannote[3897].speaker SPEAKER_27
transcript.pyannote[3897].start 21939.75846875
transcript.pyannote[3897].end 21943.45409375
transcript.pyannote[3898].speaker SPEAKER_06
transcript.pyannote[3898].start 21943.45409375
transcript.pyannote[3898].end 21944.36534375
transcript.pyannote[3899].speaker SPEAKER_27
transcript.pyannote[3899].start 21944.11221875
transcript.pyannote[3899].end 21954.60846875
transcript.pyannote[3900].speaker SPEAKER_27
transcript.pyannote[3900].start 21955.57034375
transcript.pyannote[3900].end 21959.40096875
transcript.pyannote[3901].speaker SPEAKER_27
transcript.pyannote[3901].start 21959.89034375
transcript.pyannote[3901].end 21961.91534375
transcript.pyannote[3902].speaker SPEAKER_27
transcript.pyannote[3902].start 21962.59034375
transcript.pyannote[3902].end 21966.77534375
transcript.pyannote[3903].speaker SPEAKER_06
transcript.pyannote[3903].start 21966.97784375
transcript.pyannote[3903].end 21972.93471875
transcript.pyannote[3904].speaker SPEAKER_27
transcript.pyannote[3904].start 21972.93471875
transcript.pyannote[3904].end 21974.38596875
transcript.pyannote[3905].speaker SPEAKER_27
transcript.pyannote[3905].start 21974.52096875
transcript.pyannote[3905].end 21977.32221875
transcript.pyannote[3906].speaker SPEAKER_27
transcript.pyannote[3906].start 21977.79471875
transcript.pyannote[3906].end 21980.76471875
transcript.pyannote[3907].speaker SPEAKER_27
transcript.pyannote[3907].start 21981.54096875
transcript.pyannote[3907].end 21982.28346875
transcript.pyannote[3908].speaker SPEAKER_27
transcript.pyannote[3908].start 21982.78971875
transcript.pyannote[3908].end 21983.54909375
transcript.pyannote[3909].speaker SPEAKER_27
transcript.pyannote[3909].start 21983.95409375
transcript.pyannote[3909].end 21984.88221875
transcript.pyannote[3910].speaker SPEAKER_27
transcript.pyannote[3910].start 21985.13534375
transcript.pyannote[3910].end 21986.02971875
transcript.pyannote[3911].speaker SPEAKER_06
transcript.pyannote[3911].start 21986.28284375
transcript.pyannote[3911].end 21986.56971875
transcript.pyannote[3912].speaker SPEAKER_27
transcript.pyannote[3912].start 21986.56971875
transcript.pyannote[3912].end 21988.35846875
transcript.pyannote[3913].speaker SPEAKER_06
transcript.pyannote[3913].start 21988.54409375
transcript.pyannote[3913].end 21993.77534375
transcript.pyannote[3914].speaker SPEAKER_06
transcript.pyannote[3914].start 21994.43346875
transcript.pyannote[3914].end 21999.19221875
transcript.pyannote[3915].speaker SPEAKER_27
transcript.pyannote[3915].start 21998.11221875
transcript.pyannote[3915].end 22002.33096875
transcript.pyannote[3916].speaker SPEAKER_06
transcript.pyannote[3916].start 22001.77409375
transcript.pyannote[3916].end 22008.65909375
transcript.pyannote[3917].speaker SPEAKER_44
transcript.pyannote[3917].start 22008.86159375
transcript.pyannote[3917].end 22009.16534375
transcript.pyannote[3918].speaker SPEAKER_06
transcript.pyannote[3918].start 22009.84034375
transcript.pyannote[3918].end 22009.97534375
transcript.pyannote[3919].speaker SPEAKER_27
transcript.pyannote[3919].start 22009.97534375
transcript.pyannote[3919].end 22011.93284375
transcript.pyannote[3920].speaker SPEAKER_27
transcript.pyannote[3920].start 22012.96221875
transcript.pyannote[3920].end 22013.63721875
transcript.pyannote[3921].speaker SPEAKER_27
transcript.pyannote[3921].start 22013.99159375
transcript.pyannote[3921].end 22015.91534375
transcript.pyannote[3922].speaker SPEAKER_27
transcript.pyannote[3922].start 22016.32034375
transcript.pyannote[3922].end 22017.94034375
transcript.pyannote[3923].speaker SPEAKER_27
transcript.pyannote[3923].start 22018.71659375
transcript.pyannote[3923].end 22019.39159375
transcript.pyannote[3924].speaker SPEAKER_27
transcript.pyannote[3924].start 22020.25221875
transcript.pyannote[3924].end 22022.00721875
transcript.pyannote[3925].speaker SPEAKER_27
transcript.pyannote[3925].start 22023.17159375
transcript.pyannote[3925].end 22023.96471875
transcript.pyannote[3926].speaker SPEAKER_27
transcript.pyannote[3926].start 22024.45409375
transcript.pyannote[3926].end 22025.90534375
transcript.pyannote[3927].speaker SPEAKER_27
transcript.pyannote[3927].start 22026.34409375
transcript.pyannote[3927].end 22027.44096875
transcript.pyannote[3928].speaker SPEAKER_27
transcript.pyannote[3928].start 22028.08221875
transcript.pyannote[3928].end 22028.60534375
transcript.pyannote[3929].speaker SPEAKER_27
transcript.pyannote[3929].start 22029.70221875
transcript.pyannote[3929].end 22035.03471875
transcript.pyannote[3930].speaker SPEAKER_06
transcript.pyannote[3930].start 22033.60034375
transcript.pyannote[3930].end 22033.93784375
transcript.pyannote[3931].speaker SPEAKER_06
transcript.pyannote[3931].start 22035.03471875
transcript.pyannote[3931].end 22037.75159375
transcript.pyannote[3932].speaker SPEAKER_27
transcript.pyannote[3932].start 22036.78971875
transcript.pyannote[3932].end 22037.85284375
transcript.pyannote[3933].speaker SPEAKER_06
transcript.pyannote[3933].start 22037.85284375
transcript.pyannote[3933].end 22037.88659375
transcript.pyannote[3934].speaker SPEAKER_27
transcript.pyannote[3934].start 22037.88659375
transcript.pyannote[3934].end 22037.97096875
transcript.pyannote[3935].speaker SPEAKER_06
transcript.pyannote[3935].start 22037.97096875
transcript.pyannote[3935].end 22038.03846875
transcript.pyannote[3936].speaker SPEAKER_27
transcript.pyannote[3936].start 22038.03846875
transcript.pyannote[3936].end 22038.46034375
transcript.pyannote[3937].speaker SPEAKER_44
transcript.pyannote[3937].start 22038.96659375
transcript.pyannote[3937].end 22039.08471875
transcript.pyannote[3938].speaker SPEAKER_06
transcript.pyannote[3938].start 22039.20284375
transcript.pyannote[3938].end 22044.02909375
transcript.pyannote[3939].speaker SPEAKER_27
transcript.pyannote[3939].start 22042.96596875
transcript.pyannote[3939].end 22047.33659375
transcript.pyannote[3940].speaker SPEAKER_44
transcript.pyannote[3940].start 22044.02909375
transcript.pyannote[3940].end 22044.70409375
transcript.pyannote[3941].speaker SPEAKER_06
transcript.pyannote[3941].start 22044.70409375
transcript.pyannote[3941].end 22044.80534375
transcript.pyannote[3942].speaker SPEAKER_44
transcript.pyannote[3942].start 22047.35346875
transcript.pyannote[3942].end 22047.67409375
transcript.pyannote[3943].speaker SPEAKER_27
transcript.pyannote[3943].start 22048.26471875
transcript.pyannote[3943].end 22058.18721875
transcript.pyannote[3944].speaker SPEAKER_27
transcript.pyannote[3944].start 22059.52034375
transcript.pyannote[3944].end 22061.86596875
transcript.pyannote[3945].speaker SPEAKER_27
transcript.pyannote[3945].start 22062.65909375
transcript.pyannote[3945].end 22068.14346875
transcript.pyannote[3946].speaker SPEAKER_27
transcript.pyannote[3946].start 22068.61596875
transcript.pyannote[3946].end 22078.30221875
transcript.pyannote[3947].speaker SPEAKER_27
transcript.pyannote[3947].start 22079.01096875
transcript.pyannote[3947].end 22080.52971875
transcript.pyannote[3948].speaker SPEAKER_27
transcript.pyannote[3948].start 22080.61409375
transcript.pyannote[3948].end 22084.17471875
transcript.pyannote[3949].speaker SPEAKER_06
transcript.pyannote[3949].start 22084.17471875
transcript.pyannote[3949].end 22084.19159375
transcript.pyannote[3950].speaker SPEAKER_06
transcript.pyannote[3950].start 22084.20846875
transcript.pyannote[3950].end 22090.35096875
transcript.pyannote[3951].speaker SPEAKER_27
transcript.pyannote[3951].start 22087.09409375
transcript.pyannote[3951].end 22090.36784375
transcript.pyannote[3952].speaker SPEAKER_06
transcript.pyannote[3952].start 22090.36784375
transcript.pyannote[3952].end 22090.97534375
transcript.pyannote[3953].speaker SPEAKER_27
transcript.pyannote[3953].start 22090.97534375
transcript.pyannote[3953].end 22091.26221875
transcript.pyannote[3954].speaker SPEAKER_06
transcript.pyannote[3954].start 22091.26221875
transcript.pyannote[3954].end 22091.48159375
transcript.pyannote[3955].speaker SPEAKER_27
transcript.pyannote[3955].start 22091.48159375
transcript.pyannote[3955].end 22094.89034375
transcript.pyannote[3956].speaker SPEAKER_27
transcript.pyannote[3956].start 22096.15596875
transcript.pyannote[3956].end 22100.96534375
transcript.pyannote[3957].speaker SPEAKER_06
transcript.pyannote[3957].start 22100.59409375
transcript.pyannote[3957].end 22101.70784375
transcript.pyannote[3958].speaker SPEAKER_27
transcript.pyannote[3958].start 22102.90596875
transcript.pyannote[3958].end 22105.52159375
transcript.pyannote[3959].speaker SPEAKER_27
transcript.pyannote[3959].start 22106.55096875
transcript.pyannote[3959].end 22109.26784375
transcript.pyannote[3960].speaker SPEAKER_27
transcript.pyannote[3960].start 22109.45346875
transcript.pyannote[3960].end 22110.07784375
transcript.pyannote[3961].speaker SPEAKER_27
transcript.pyannote[3961].start 22110.78659375
transcript.pyannote[3961].end 22114.88721875
transcript.pyannote[3962].speaker SPEAKER_27
transcript.pyannote[3962].start 22115.84909375
transcript.pyannote[3962].end 22116.94596875
transcript.pyannote[3963].speaker SPEAKER_27
transcript.pyannote[3963].start 22117.73909375
transcript.pyannote[3963].end 22120.96221875
transcript.pyannote[3964].speaker SPEAKER_27
transcript.pyannote[3964].start 22121.26596875
transcript.pyannote[3964].end 22124.15159375
transcript.pyannote[3965].speaker SPEAKER_27
transcript.pyannote[3965].start 22124.79284375
transcript.pyannote[3965].end 22126.24409375
transcript.pyannote[3966].speaker SPEAKER_27
transcript.pyannote[3966].start 22127.17221875
transcript.pyannote[3966].end 22131.52596875
transcript.pyannote[3967].speaker SPEAKER_06
transcript.pyannote[3967].start 22131.52596875
transcript.pyannote[3967].end 22131.69471875
transcript.pyannote[3968].speaker SPEAKER_27
transcript.pyannote[3968].start 22131.69471875
transcript.pyannote[3968].end 22133.95596875
transcript.pyannote[3969].speaker SPEAKER_06
transcript.pyannote[3969].start 22131.72846875
transcript.pyannote[3969].end 22133.71971875
transcript.pyannote[3970].speaker SPEAKER_27
transcript.pyannote[3970].start 22134.47909375
transcript.pyannote[3970].end 22144.72221875
transcript.pyannote[3971].speaker SPEAKER_27
transcript.pyannote[3971].start 22145.43096875
transcript.pyannote[3971].end 22147.20284375
transcript.pyannote[3972].speaker SPEAKER_27
transcript.pyannote[3972].start 22148.95784375
transcript.pyannote[3972].end 22152.21471875
transcript.pyannote[3973].speaker SPEAKER_06
transcript.pyannote[3973].start 22152.21471875
transcript.pyannote[3973].end 22152.26534375
transcript.pyannote[3974].speaker SPEAKER_27
transcript.pyannote[3974].start 22152.26534375
transcript.pyannote[3974].end 22152.40034375
transcript.pyannote[3975].speaker SPEAKER_06
transcript.pyannote[3975].start 22152.40034375
transcript.pyannote[3975].end 22152.41721875
transcript.pyannote[3976].speaker SPEAKER_27
transcript.pyannote[3976].start 22152.41721875
transcript.pyannote[3976].end 22152.48471875
transcript.pyannote[3977].speaker SPEAKER_06
transcript.pyannote[3977].start 22152.48471875
transcript.pyannote[3977].end 22152.58596875
transcript.pyannote[3978].speaker SPEAKER_27
transcript.pyannote[3978].start 22152.58596875
transcript.pyannote[3978].end 22152.92346875
transcript.pyannote[3979].speaker SPEAKER_06
transcript.pyannote[3979].start 22152.92346875
transcript.pyannote[3979].end 22153.42971875
transcript.pyannote[3980].speaker SPEAKER_27
transcript.pyannote[3980].start 22153.42971875
transcript.pyannote[3980].end 22159.63971875
transcript.pyannote[3981].speaker SPEAKER_06
transcript.pyannote[3981].start 22159.63971875
transcript.pyannote[3981].end 22164.71909375
transcript.pyannote[3982].speaker SPEAKER_27
transcript.pyannote[3982].start 22162.91346875
transcript.pyannote[3982].end 22164.85409375
transcript.pyannote[3983].speaker SPEAKER_06
transcript.pyannote[3983].start 22164.85409375
transcript.pyannote[3983].end 22165.07346875
transcript.pyannote[3984].speaker SPEAKER_27
transcript.pyannote[3984].start 22165.07346875
transcript.pyannote[3984].end 22165.15784375
transcript.pyannote[3985].speaker SPEAKER_06
transcript.pyannote[3985].start 22165.15784375
transcript.pyannote[3985].end 22165.25909375
transcript.pyannote[3986].speaker SPEAKER_27
transcript.pyannote[3986].start 22165.25909375
transcript.pyannote[3986].end 22165.78221875
transcript.pyannote[3987].speaker SPEAKER_06
transcript.pyannote[3987].start 22165.78221875
transcript.pyannote[3987].end 22165.84971875
transcript.pyannote[3988].speaker SPEAKER_27
transcript.pyannote[3988].start 22165.84971875
transcript.pyannote[3988].end 22166.20409375
transcript.pyannote[3989].speaker SPEAKER_06
transcript.pyannote[3989].start 22166.20409375
transcript.pyannote[3989].end 22166.28846875
transcript.pyannote[3990].speaker SPEAKER_27
transcript.pyannote[3990].start 22166.28846875
transcript.pyannote[3990].end 22176.58221875
transcript.pyannote[3991].speaker SPEAKER_06
transcript.pyannote[3991].start 22166.33909375
transcript.pyannote[3991].end 22169.20784375
transcript.pyannote[3992].speaker SPEAKER_27
transcript.pyannote[3992].start 22177.69596875
transcript.pyannote[3992].end 22179.07971875
transcript.pyannote[3993].speaker SPEAKER_27
transcript.pyannote[3993].start 22180.73346875
transcript.pyannote[3993].end 22183.14659375
transcript.pyannote[3994].speaker SPEAKER_27
transcript.pyannote[3994].start 22183.77096875
transcript.pyannote[3994].end 22189.25534375
transcript.pyannote[3995].speaker SPEAKER_27
transcript.pyannote[3995].start 22189.84596875
transcript.pyannote[3995].end 22191.61784375
transcript.pyannote[3996].speaker SPEAKER_27
transcript.pyannote[3996].start 22193.23784375
transcript.pyannote[3996].end 22193.98034375
transcript.pyannote[3997].speaker SPEAKER_44
transcript.pyannote[3997].start 22194.50346875
transcript.pyannote[3997].end 22194.60471875
transcript.pyannote[3998].speaker SPEAKER_27
transcript.pyannote[3998].start 22194.75659375
transcript.pyannote[3998].end 22196.32596875
transcript.pyannote[3999].speaker SPEAKER_27
transcript.pyannote[3999].start 22196.73096875
transcript.pyannote[3999].end 22201.10159375
transcript.pyannote[4000].speaker SPEAKER_06
transcript.pyannote[4000].start 22201.10159375
transcript.pyannote[4000].end 22201.27034375
transcript.pyannote[4001].speaker SPEAKER_27
transcript.pyannote[4001].start 22201.27034375
transcript.pyannote[4001].end 22205.94471875
transcript.pyannote[4002].speaker SPEAKER_06
transcript.pyannote[4002].start 22201.67534375
transcript.pyannote[4002].end 22202.62034375
transcript.pyannote[4003].speaker SPEAKER_44
transcript.pyannote[4003].start 22202.62034375
transcript.pyannote[4003].end 22202.92409375
transcript.pyannote[4004].speaker SPEAKER_06
transcript.pyannote[4004].start 22202.92409375
transcript.pyannote[4004].end 22203.14346875
transcript.pyannote[4005].speaker SPEAKER_06
transcript.pyannote[4005].start 22203.43034375
transcript.pyannote[4005].end 22203.86909375
transcript.pyannote[4006].speaker SPEAKER_06
transcript.pyannote[4006].start 22205.03346875
transcript.pyannote[4006].end 22205.06721875
transcript.pyannote[4007].speaker SPEAKER_06
transcript.pyannote[4007].start 22205.08409375
transcript.pyannote[4007].end 22205.28659375
transcript.pyannote[4008].speaker SPEAKER_06
transcript.pyannote[4008].start 22205.94471875
transcript.pyannote[4008].end 22205.96159375
transcript.pyannote[4009].speaker SPEAKER_27
transcript.pyannote[4009].start 22205.96159375
transcript.pyannote[4009].end 22209.42096875
transcript.pyannote[4010].speaker SPEAKER_06
transcript.pyannote[4010].start 22206.67034375
transcript.pyannote[4010].end 22206.68721875
transcript.pyannote[4011].speaker SPEAKER_44
transcript.pyannote[4011].start 22206.68721875
transcript.pyannote[4011].end 22209.77534375
transcript.pyannote[4012].speaker SPEAKER_27
transcript.pyannote[4012].start 22210.60221875
transcript.pyannote[4012].end 22220.08596875
transcript.pyannote[4013].speaker SPEAKER_06
transcript.pyannote[4013].start 22220.30534375
transcript.pyannote[4013].end 22229.67096875
transcript.pyannote[4014].speaker SPEAKER_27
transcript.pyannote[4014].start 22221.03096875
transcript.pyannote[4014].end 22222.04346875
transcript.pyannote[4015].speaker SPEAKER_27
transcript.pyannote[4015].start 22224.06846875
transcript.pyannote[4015].end 22224.64221875
transcript.pyannote[4016].speaker SPEAKER_26
transcript.pyannote[4016].start 22224.64221875
transcript.pyannote[4016].end 22224.65909375
transcript.pyannote[4017].speaker SPEAKER_06
transcript.pyannote[4017].start 22229.87346875
transcript.pyannote[4017].end 22229.94096875
transcript.pyannote[4018].speaker SPEAKER_27
transcript.pyannote[4018].start 22229.94096875
transcript.pyannote[4018].end 22240.36971875
transcript.pyannote[4019].speaker SPEAKER_06
transcript.pyannote[4019].start 22237.73721875
transcript.pyannote[4019].end 22238.02409375
transcript.pyannote[4020].speaker SPEAKER_27
transcript.pyannote[4020].start 22241.01096875
transcript.pyannote[4020].end 22241.65221875
transcript.pyannote[4021].speaker SPEAKER_06
transcript.pyannote[4021].start 22241.16284375
transcript.pyannote[4021].end 22242.31034375
transcript.pyannote[4022].speaker SPEAKER_27
transcript.pyannote[4022].start 22242.42846875
transcript.pyannote[4022].end 22243.62659375
transcript.pyannote[4023].speaker SPEAKER_27
transcript.pyannote[4023].start 22244.11596875
transcript.pyannote[4023].end 22244.92596875
transcript.pyannote[4024].speaker SPEAKER_06
transcript.pyannote[4024].start 22244.95971875
transcript.pyannote[4024].end 22245.80346875
transcript.pyannote[4025].speaker SPEAKER_27
transcript.pyannote[4025].start 22245.75284375
transcript.pyannote[4025].end 22246.42784375
transcript.pyannote[4026].speaker SPEAKER_27
transcript.pyannote[4026].start 22247.18721875
transcript.pyannote[4026].end 22249.02659375
transcript.pyannote[4027].speaker SPEAKER_06
transcript.pyannote[4027].start 22249.02659375
transcript.pyannote[4027].end 22250.95034375
transcript.pyannote[4028].speaker SPEAKER_06
transcript.pyannote[4028].start 22251.10221875
transcript.pyannote[4028].end 22253.51534375
transcript.pyannote[4029].speaker SPEAKER_27
transcript.pyannote[4029].start 22252.73909375
transcript.pyannote[4029].end 22259.28659375
transcript.pyannote[4030].speaker SPEAKER_06
transcript.pyannote[4030].start 22253.53221875
transcript.pyannote[4030].end 22253.54909375
transcript.pyannote[4031].speaker SPEAKER_06
transcript.pyannote[4031].start 22254.52784375
transcript.pyannote[4031].end 22255.89471875
transcript.pyannote[4032].speaker SPEAKER_27
transcript.pyannote[4032].start 22259.99534375
transcript.pyannote[4032].end 22261.58159375
transcript.pyannote[4033].speaker SPEAKER_27
transcript.pyannote[4033].start 22262.13846875
transcript.pyannote[4033].end 22263.04971875
transcript.pyannote[4034].speaker SPEAKER_27
transcript.pyannote[4034].start 22263.85971875
transcript.pyannote[4034].end 22264.99034375
transcript.pyannote[4035].speaker SPEAKER_27
transcript.pyannote[4035].start 22265.51346875
transcript.pyannote[4035].end 22266.17159375
transcript.pyannote[4036].speaker SPEAKER_27
transcript.pyannote[4036].start 22266.49221875
transcript.pyannote[4036].end 22269.41159375
transcript.pyannote[4037].speaker SPEAKER_27
transcript.pyannote[4037].start 22270.18784375
transcript.pyannote[4037].end 22270.77846875
transcript.pyannote[4038].speaker SPEAKER_27
transcript.pyannote[4038].start 22272.16221875
transcript.pyannote[4038].end 22273.27596875
transcript.pyannote[4039].speaker SPEAKER_06
transcript.pyannote[4039].start 22273.78221875
transcript.pyannote[4039].end 22274.54159375
transcript.pyannote[4040].speaker SPEAKER_27
transcript.pyannote[4040].start 22274.81159375
transcript.pyannote[4040].end 22276.90409375
transcript.pyannote[4041].speaker SPEAKER_06
transcript.pyannote[4041].start 22277.95034375
transcript.pyannote[4041].end 22278.18659375
transcript.pyannote[4042].speaker SPEAKER_27
transcript.pyannote[4042].start 22278.18659375
transcript.pyannote[4042].end 22289.45909375
transcript.pyannote[4043].speaker SPEAKER_27
transcript.pyannote[4043].start 22290.16784375
transcript.pyannote[4043].end 22292.00721875
transcript.pyannote[4044].speaker SPEAKER_27
transcript.pyannote[4044].start 22292.63159375
transcript.pyannote[4044].end 22294.52159375
transcript.pyannote[4045].speaker SPEAKER_27
transcript.pyannote[4045].start 22295.97284375
transcript.pyannote[4045].end 22298.62221875
transcript.pyannote[4046].speaker SPEAKER_27
transcript.pyannote[4046].start 22299.43221875
transcript.pyannote[4046].end 22303.17846875
transcript.pyannote[4047].speaker SPEAKER_06
transcript.pyannote[4047].start 22303.17846875
transcript.pyannote[4047].end 22305.84471875
transcript.pyannote[4048].speaker SPEAKER_27
transcript.pyannote[4048].start 22303.66784375
transcript.pyannote[4048].end 22304.39346875
transcript.pyannote[4049].speaker SPEAKER_27
transcript.pyannote[4049].start 22305.23721875
transcript.pyannote[4049].end 22317.84284375
transcript.pyannote[4050].speaker SPEAKER_06
transcript.pyannote[4050].start 22307.41409375
transcript.pyannote[4050].end 22307.65034375
transcript.pyannote[4051].speaker SPEAKER_06
transcript.pyannote[4051].start 22315.07534375
transcript.pyannote[4051].end 22317.04971875
transcript.pyannote[4052].speaker SPEAKER_27
transcript.pyannote[4052].start 22318.70346875
transcript.pyannote[4052].end 22325.74034375
transcript.pyannote[4053].speaker SPEAKER_27
transcript.pyannote[4053].start 22325.90909375
transcript.pyannote[4053].end 22330.51596875
transcript.pyannote[4054].speaker SPEAKER_04
transcript.pyannote[4054].start 22332.69284375
transcript.pyannote[4054].end 22336.10159375
transcript.pyannote[4055].speaker SPEAKER_04
transcript.pyannote[4055].start 22336.45596875
transcript.pyannote[4055].end 22343.94846875
transcript.pyannote[4056].speaker SPEAKER_04
transcript.pyannote[4056].start 22343.96534375
transcript.pyannote[4056].end 22347.62721875
transcript.pyannote[4057].speaker SPEAKER_32
transcript.pyannote[4057].start 22355.23784375
transcript.pyannote[4057].end 22357.22909375
transcript.pyannote[4058].speaker SPEAKER_32
transcript.pyannote[4058].start 22357.61721875
transcript.pyannote[4058].end 22358.52846875
transcript.pyannote[4059].speaker SPEAKER_32
transcript.pyannote[4059].start 22363.13534375
transcript.pyannote[4059].end 22363.87784375
transcript.pyannote[4060].speaker SPEAKER_32
transcript.pyannote[4060].start 22364.31659375
transcript.pyannote[4060].end 22364.72159375
transcript.pyannote[4061].speaker SPEAKER_32
transcript.pyannote[4061].start 22365.26159375
transcript.pyannote[4061].end 22370.05409375
transcript.pyannote[4062].speaker SPEAKER_32
transcript.pyannote[4062].start 22370.47596875
transcript.pyannote[4062].end 22378.28909375
transcript.pyannote[4063].speaker SPEAKER_32
transcript.pyannote[4063].start 22379.28471875
transcript.pyannote[4063].end 22388.81909375
transcript.pyannote[4064].speaker SPEAKER_32
transcript.pyannote[4064].start 22389.12284375
transcript.pyannote[4064].end 22394.30346875
transcript.pyannote[4065].speaker SPEAKER_32
transcript.pyannote[4065].start 22394.37096875
transcript.pyannote[4065].end 22395.88971875
transcript.pyannote[4066].speaker SPEAKER_06
transcript.pyannote[4066].start 22396.24409375
transcript.pyannote[4066].end 22400.58096875
transcript.pyannote[4067].speaker SPEAKER_06
transcript.pyannote[4067].start 22400.96909375
transcript.pyannote[4067].end 22401.77909375
transcript.pyannote[4068].speaker SPEAKER_06
transcript.pyannote[4068].start 22401.99846875
transcript.pyannote[4068].end 22404.63096875
transcript.pyannote[4069].speaker SPEAKER_32
transcript.pyannote[4069].start 22402.09971875
transcript.pyannote[4069].end 22402.31909375
transcript.pyannote[4070].speaker SPEAKER_32
transcript.pyannote[4070].start 22405.15409375
transcript.pyannote[4070].end 22429.53846875
transcript.pyannote[4071].speaker SPEAKER_32
transcript.pyannote[4071].start 22429.77471875
transcript.pyannote[4071].end 22432.25534375
transcript.pyannote[4072].speaker SPEAKER_24
transcript.pyannote[4072].start 22434.24659375
transcript.pyannote[4072].end 22436.10284375
transcript.pyannote[4073].speaker SPEAKER_32
transcript.pyannote[4073].start 22436.27159375
transcript.pyannote[4073].end 22439.19096875
transcript.pyannote[4074].speaker SPEAKER_32
transcript.pyannote[4074].start 22439.83221875
transcript.pyannote[4074].end 22465.60034375
transcript.pyannote[4075].speaker SPEAKER_24
transcript.pyannote[4075].start 22466.88284375
transcript.pyannote[4075].end 22467.54096875
transcript.pyannote[4076].speaker SPEAKER_32
transcript.pyannote[4076].start 22468.16534375
transcript.pyannote[4076].end 22468.41846875
transcript.pyannote[4077].speaker SPEAKER_24
transcript.pyannote[4077].start 22468.41846875
transcript.pyannote[4077].end 22470.59534375
transcript.pyannote[4078].speaker SPEAKER_32
transcript.pyannote[4078].start 22468.43534375
transcript.pyannote[4078].end 22468.73909375
transcript.pyannote[4079].speaker SPEAKER_32
transcript.pyannote[4079].start 22470.59534375
transcript.pyannote[4079].end 22477.12596875
transcript.pyannote[4080].speaker SPEAKER_32
transcript.pyannote[4080].start 22477.56471875
transcript.pyannote[4080].end 22479.89346875
transcript.pyannote[4081].speaker SPEAKER_24
transcript.pyannote[4081].start 22479.94409375
transcript.pyannote[4081].end 22486.47471875
transcript.pyannote[4082].speaker SPEAKER_24
transcript.pyannote[4082].start 22486.55909375
transcript.pyannote[4082].end 22489.10721875
transcript.pyannote[4083].speaker SPEAKER_32
transcript.pyannote[4083].start 22489.29284375
transcript.pyannote[4083].end 22490.33909375
transcript.pyannote[4084].speaker SPEAKER_24
transcript.pyannote[4084].start 22490.52471875
transcript.pyannote[4084].end 22490.99721875
transcript.pyannote[4085].speaker SPEAKER_32
transcript.pyannote[4085].start 22490.99721875
transcript.pyannote[4085].end 22498.20284375
transcript.pyannote[4086].speaker SPEAKER_24
transcript.pyannote[4086].start 22492.58346875
transcript.pyannote[4086].end 22492.90409375
transcript.pyannote[4087].speaker SPEAKER_24
transcript.pyannote[4087].start 22494.08534375
transcript.pyannote[4087].end 22494.89534375
transcript.pyannote[4088].speaker SPEAKER_24
transcript.pyannote[4088].start 22497.59534375
transcript.pyannote[4088].end 22503.50159375
transcript.pyannote[4089].speaker SPEAKER_32
transcript.pyannote[4089].start 22503.95721875
transcript.pyannote[4089].end 22543.41096875
transcript.pyannote[4090].speaker SPEAKER_24
transcript.pyannote[4090].start 22544.01846875
transcript.pyannote[4090].end 22551.83159375
transcript.pyannote[4091].speaker SPEAKER_32
transcript.pyannote[4091].start 22547.32596875
transcript.pyannote[4091].end 22547.47784375
transcript.pyannote[4092].speaker SPEAKER_35
transcript.pyannote[4092].start 22547.47784375
transcript.pyannote[4092].end 22547.51159375
transcript.pyannote[4093].speaker SPEAKER_32
transcript.pyannote[4093].start 22547.51159375
transcript.pyannote[4093].end 22547.54534375
transcript.pyannote[4094].speaker SPEAKER_35
transcript.pyannote[4094].start 22547.54534375
transcript.pyannote[4094].end 22547.64659375
transcript.pyannote[4095].speaker SPEAKER_24
transcript.pyannote[4095].start 22552.06784375
transcript.pyannote[4095].end 22552.91159375
transcript.pyannote[4096].speaker SPEAKER_24
transcript.pyannote[4096].start 22553.08034375
transcript.pyannote[4096].end 22555.81409375
transcript.pyannote[4097].speaker SPEAKER_24
transcript.pyannote[4097].start 22555.98284375
transcript.pyannote[4097].end 22558.12596875
transcript.pyannote[4098].speaker SPEAKER_32
transcript.pyannote[4098].start 22558.56471875
transcript.pyannote[4098].end 22565.50034375
transcript.pyannote[4099].speaker SPEAKER_24
transcript.pyannote[4099].start 22564.55534375
transcript.pyannote[4099].end 22565.04471875
transcript.pyannote[4100].speaker SPEAKER_32
transcript.pyannote[4100].start 22566.46221875
transcript.pyannote[4100].end 22567.00221875
transcript.pyannote[4101].speaker SPEAKER_32
transcript.pyannote[4101].start 22567.12034375
transcript.pyannote[4101].end 22568.09909375
transcript.pyannote[4102].speaker SPEAKER_32
transcript.pyannote[4102].start 22568.80784375
transcript.pyannote[4102].end 22571.06909375
transcript.pyannote[4103].speaker SPEAKER_32
transcript.pyannote[4103].start 22571.37284375
transcript.pyannote[4103].end 22572.92534375
transcript.pyannote[4104].speaker SPEAKER_24
transcript.pyannote[4104].start 22573.60034375
transcript.pyannote[4104].end 22577.48159375
transcript.pyannote[4105].speaker SPEAKER_24
transcript.pyannote[4105].start 22577.59971875
transcript.pyannote[4105].end 22579.45596875
transcript.pyannote[4106].speaker SPEAKER_24
transcript.pyannote[4106].start 22579.67534375
transcript.pyannote[4106].end 22586.15534375
transcript.pyannote[4107].speaker SPEAKER_32
transcript.pyannote[4107].start 22582.03784375
transcript.pyannote[4107].end 22582.40909375
transcript.pyannote[4108].speaker SPEAKER_32
transcript.pyannote[4108].start 22586.35784375
transcript.pyannote[4108].end 22645.65659375
transcript.pyannote[4109].speaker SPEAKER_21
transcript.pyannote[4109].start 22610.15159375
transcript.pyannote[4109].end 22610.55659375
transcript.pyannote[4110].speaker SPEAKER_33
transcript.pyannote[4110].start 22649.31846875
transcript.pyannote[4110].end 22649.97659375
transcript.pyannote[4111].speaker SPEAKER_06
transcript.pyannote[4111].start 22649.62221875
transcript.pyannote[4111].end 22649.63909375
transcript.pyannote[4112].speaker SPEAKER_28
transcript.pyannote[4112].start 22649.63909375
transcript.pyannote[4112].end 22661.31659375
transcript.pyannote[4113].speaker SPEAKER_06
transcript.pyannote[4113].start 22649.97659375
transcript.pyannote[4113].end 22650.44909375
transcript.pyannote[4114].speaker SPEAKER_28
transcript.pyannote[4114].start 22661.63721875
transcript.pyannote[4114].end 22668.50534375
transcript.pyannote[4115].speaker SPEAKER_32
transcript.pyannote[4115].start 22668.82596875
transcript.pyannote[4115].end 22678.64721875
transcript.pyannote[4116].speaker SPEAKER_28
transcript.pyannote[4116].start 22668.96096875
transcript.pyannote[4116].end 22669.63596875
transcript.pyannote[4117].speaker SPEAKER_06
transcript.pyannote[4117].start 22678.64721875
transcript.pyannote[4117].end 22679.99721875
transcript.pyannote[4118].speaker SPEAKER_32
transcript.pyannote[4118].start 22680.58784375
transcript.pyannote[4118].end 22684.70534375
transcript.pyannote[4119].speaker SPEAKER_06
transcript.pyannote[4119].start 22685.54909375
transcript.pyannote[4119].end 22690.12221875
transcript.pyannote[4120].speaker SPEAKER_32
transcript.pyannote[4120].start 22689.83534375
transcript.pyannote[4120].end 22692.19784375
transcript.pyannote[4121].speaker SPEAKER_06
transcript.pyannote[4121].start 22690.30784375
transcript.pyannote[4121].end 22690.83096875
transcript.pyannote[4122].speaker SPEAKER_06
transcript.pyannote[4122].start 22691.38784375
transcript.pyannote[4122].end 22692.65346875
transcript.pyannote[4123].speaker SPEAKER_06
transcript.pyannote[4123].start 22693.29471875
transcript.pyannote[4123].end 22695.18471875
transcript.pyannote[4124].speaker SPEAKER_32
transcript.pyannote[4124].start 22695.35346875
transcript.pyannote[4124].end 22710.97971875
transcript.pyannote[4125].speaker SPEAKER_44
transcript.pyannote[4125].start 22708.06034375
transcript.pyannote[4125].end 22708.63409375
transcript.pyannote[4126].speaker SPEAKER_06
transcript.pyannote[4126].start 22708.63409375
transcript.pyannote[4126].end 22708.65096875
transcript.pyannote[4127].speaker SPEAKER_06
transcript.pyannote[4127].start 22710.00096875
transcript.pyannote[4127].end 22710.03471875
transcript.pyannote[4128].speaker SPEAKER_44
transcript.pyannote[4128].start 22710.03471875
transcript.pyannote[4128].end 22710.06846875
transcript.pyannote[4129].speaker SPEAKER_06
transcript.pyannote[4129].start 22710.06846875
transcript.pyannote[4129].end 22711.82346875
transcript.pyannote[4130].speaker SPEAKER_32
transcript.pyannote[4130].start 22712.04284375
transcript.pyannote[4130].end 22715.01284375
transcript.pyannote[4131].speaker SPEAKER_06
transcript.pyannote[4131].start 22713.66284375
transcript.pyannote[4131].end 22713.78096875
transcript.pyannote[4132].speaker SPEAKER_06
transcript.pyannote[4132].start 22716.26159375
transcript.pyannote[4132].end 22716.61596875
transcript.pyannote[4133].speaker SPEAKER_32
transcript.pyannote[4133].start 22716.61596875
transcript.pyannote[4133].end 22716.68346875
transcript.pyannote[4134].speaker SPEAKER_32
transcript.pyannote[4134].start 22716.83534375
transcript.pyannote[4134].end 22753.30221875
transcript.pyannote[4135].speaker SPEAKER_00
transcript.pyannote[4135].start 22725.32346875
transcript.pyannote[4135].end 22725.52596875
transcript.pyannote[4136].speaker SPEAKER_06
transcript.pyannote[4136].start 22725.52596875
transcript.pyannote[4136].end 22725.66096875
transcript.pyannote[4137].speaker SPEAKER_00
transcript.pyannote[4137].start 22725.66096875
transcript.pyannote[4137].end 22726.23471875
transcript.pyannote[4138].speaker SPEAKER_00
transcript.pyannote[4138].start 22743.88596875
transcript.pyannote[4138].end 22744.03784375
transcript.pyannote[4139].speaker SPEAKER_06
transcript.pyannote[4139].start 22744.03784375
transcript.pyannote[4139].end 22744.25721875
transcript.pyannote[4140].speaker SPEAKER_00
transcript.pyannote[4140].start 22744.25721875
transcript.pyannote[4140].end 22744.27409375
transcript.pyannote[4141].speaker SPEAKER_06
transcript.pyannote[4141].start 22751.09159375
transcript.pyannote[4141].end 22757.31846875
transcript.pyannote[4142].speaker SPEAKER_06
transcript.pyannote[4142].start 22757.52096875
transcript.pyannote[4142].end 22761.58784375
transcript.pyannote[4143].speaker SPEAKER_06
transcript.pyannote[4143].start 22761.84096875
transcript.pyannote[4143].end 22761.92534375
transcript.pyannote[4144].speaker SPEAKER_04
transcript.pyannote[4144].start 22761.92534375
transcript.pyannote[4144].end 22761.95909375
transcript.pyannote[4145].speaker SPEAKER_06
transcript.pyannote[4145].start 22761.95909375
transcript.pyannote[4145].end 22764.03471875
transcript.pyannote[4146].speaker SPEAKER_04
transcript.pyannote[4146].start 22761.97596875
transcript.pyannote[4146].end 22762.38096875
transcript.pyannote[4147].speaker SPEAKER_04
transcript.pyannote[4147].start 22762.68471875
transcript.pyannote[4147].end 22763.74784375
transcript.pyannote[4148].speaker SPEAKER_32
transcript.pyannote[4148].start 22763.74784375
transcript.pyannote[4148].end 22763.93346875
transcript.pyannote[4149].speaker SPEAKER_32
transcript.pyannote[4149].start 22764.03471875
transcript.pyannote[4149].end 22764.30471875
transcript.pyannote[4150].speaker SPEAKER_06
transcript.pyannote[4150].start 22764.30471875
transcript.pyannote[4150].end 22764.76034375
transcript.pyannote[4151].speaker SPEAKER_32
transcript.pyannote[4151].start 22764.69284375
transcript.pyannote[4151].end 22764.70971875
transcript.pyannote[4152].speaker SPEAKER_04
transcript.pyannote[4152].start 22764.70971875
transcript.pyannote[4152].end 22768.33784375
transcript.pyannote[4153].speaker SPEAKER_32
transcript.pyannote[4153].start 22764.76034375
transcript.pyannote[4153].end 22764.92909375
transcript.pyannote[4154].speaker SPEAKER_06
transcript.pyannote[4154].start 22764.92909375
transcript.pyannote[4154].end 22764.96284375
transcript.pyannote[4155].speaker SPEAKER_32
transcript.pyannote[4155].start 22764.96284375
transcript.pyannote[4155].end 22765.13159375
transcript.pyannote[4156].speaker SPEAKER_06
transcript.pyannote[4156].start 22765.13159375
transcript.pyannote[4156].end 22765.18221875
transcript.pyannote[4157].speaker SPEAKER_32
transcript.pyannote[4157].start 22765.18221875
transcript.pyannote[4157].end 22765.21596875
transcript.pyannote[4158].speaker SPEAKER_04
transcript.pyannote[4158].start 22768.94534375
transcript.pyannote[4158].end 22772.53971875
transcript.pyannote[4159].speaker SPEAKER_07
transcript.pyannote[4159].start 22785.04409375
transcript.pyannote[4159].end 22787.59221875
transcript.pyannote[4160].speaker SPEAKER_04
transcript.pyannote[4160].start 22788.18284375
transcript.pyannote[4160].end 22789.33034375
transcript.pyannote[4161].speaker SPEAKER_04
transcript.pyannote[4161].start 22792.82346875
transcript.pyannote[4161].end 22792.84034375
transcript.pyannote[4162].speaker SPEAKER_07
transcript.pyannote[4162].start 22792.84034375
transcript.pyannote[4162].end 22793.07659375
transcript.pyannote[4163].speaker SPEAKER_06
transcript.pyannote[4163].start 22793.07659375
transcript.pyannote[4163].end 22793.24534375
transcript.pyannote[4164].speaker SPEAKER_07
transcript.pyannote[4164].start 22793.24534375
transcript.pyannote[4164].end 22793.48159375
transcript.pyannote[4165].speaker SPEAKER_07
transcript.pyannote[4165].start 22794.20721875
transcript.pyannote[4165].end 22795.84409375
transcript.pyannote[4166].speaker SPEAKER_07
transcript.pyannote[4166].start 22796.04659375
transcript.pyannote[4166].end 22796.26596875
transcript.pyannote[4167].speaker SPEAKER_07
transcript.pyannote[4167].start 22797.27846875
transcript.pyannote[4167].end 22799.84346875
transcript.pyannote[4168].speaker SPEAKER_07
transcript.pyannote[4168].start 22800.23159375
transcript.pyannote[4168].end 22800.99096875
transcript.pyannote[4169].speaker SPEAKER_07
transcript.pyannote[4169].start 22801.48034375
transcript.pyannote[4169].end 22807.75784375
transcript.pyannote[4170].speaker SPEAKER_00
transcript.pyannote[4170].start 22804.85534375
transcript.pyannote[4170].end 22805.32784375
transcript.pyannote[4171].speaker SPEAKER_07
transcript.pyannote[4171].start 22808.16284375
transcript.pyannote[4171].end 22811.75721875
transcript.pyannote[4172].speaker SPEAKER_07
transcript.pyannote[4172].start 22812.11159375
transcript.pyannote[4172].end 22823.94096875
transcript.pyannote[4173].speaker SPEAKER_10
transcript.pyannote[4173].start 22816.83659375
transcript.pyannote[4173].end 22817.10659375
transcript.pyannote[4174].speaker SPEAKER_07
transcript.pyannote[4174].start 22824.14346875
transcript.pyannote[4174].end 22845.49034375
transcript.pyannote[4175].speaker SPEAKER_07
transcript.pyannote[4175].start 22846.82346875
transcript.pyannote[4175].end 22887.44159375
transcript.pyannote[4176].speaker SPEAKER_07
transcript.pyannote[4176].start 22887.86346875
transcript.pyannote[4176].end 22888.26846875
transcript.pyannote[4177].speaker SPEAKER_07
transcript.pyannote[4177].start 22888.72409375
transcript.pyannote[4177].end 22889.21346875
transcript.pyannote[4178].speaker SPEAKER_07
transcript.pyannote[4178].start 22889.70284375
transcript.pyannote[4178].end 22894.36034375
transcript.pyannote[4179].speaker SPEAKER_07
transcript.pyannote[4179].start 22894.52909375
transcript.pyannote[4179].end 22904.16471875
transcript.pyannote[4180].speaker SPEAKER_07
transcript.pyannote[4180].start 22904.50221875
transcript.pyannote[4180].end 22910.37471875
transcript.pyannote[4181].speaker SPEAKER_06
transcript.pyannote[4181].start 22912.14659375
transcript.pyannote[4181].end 22912.66971875
transcript.pyannote[4182].speaker SPEAKER_06
transcript.pyannote[4182].start 22912.90596875
transcript.pyannote[4182].end 22916.09534375
transcript.pyannote[4183].speaker SPEAKER_06
transcript.pyannote[4183].start 22916.46659375
transcript.pyannote[4183].end 22929.03846875
transcript.pyannote[4184].speaker SPEAKER_06
transcript.pyannote[4184].start 22929.32534375
transcript.pyannote[4184].end 22930.32096875
transcript.pyannote[4185].speaker SPEAKER_06
transcript.pyannote[4185].start 22930.72596875
transcript.pyannote[4185].end 22935.67034375
transcript.pyannote[4186].speaker SPEAKER_03
transcript.pyannote[4186].start 22935.88971875
transcript.pyannote[4186].end 22935.97409375
transcript.pyannote[4187].speaker SPEAKER_06
transcript.pyannote[4187].start 22935.97409375
transcript.pyannote[4187].end 22938.97784375
transcript.pyannote[4188].speaker SPEAKER_06
transcript.pyannote[4188].start 22939.29846875
transcript.pyannote[4188].end 22947.39846875
transcript.pyannote[4189].speaker SPEAKER_44
transcript.pyannote[4189].start 22943.24721875
transcript.pyannote[4189].end 22943.73659375
transcript.pyannote[4190].speaker SPEAKER_06
transcript.pyannote[4190].start 22947.85409375
transcript.pyannote[4190].end 22966.78784375
transcript.pyannote[4191].speaker SPEAKER_07
transcript.pyannote[4191].start 22962.24846875
transcript.pyannote[4191].end 22963.27784375
transcript.pyannote[4192].speaker SPEAKER_07
transcript.pyannote[4192].start 22963.54784375
transcript.pyannote[4192].end 22963.95284375
transcript.pyannote[4193].speaker SPEAKER_07
transcript.pyannote[4193].start 22964.91471875
transcript.pyannote[4193].end 22965.28596875
transcript.pyannote[4194].speaker SPEAKER_07
transcript.pyannote[4194].start 22965.52221875
transcript.pyannote[4194].end 22974.31409375
transcript.pyannote[4195].speaker SPEAKER_06
transcript.pyannote[4195].start 22968.98159375
transcript.pyannote[4195].end 22969.23471875
transcript.pyannote[4196].speaker SPEAKER_06
transcript.pyannote[4196].start 22970.28096875
transcript.pyannote[4196].end 22970.87159375
transcript.pyannote[4197].speaker SPEAKER_44
transcript.pyannote[4197].start 22970.87159375
transcript.pyannote[4197].end 22970.92221875
transcript.pyannote[4198].speaker SPEAKER_07
transcript.pyannote[4198].start 22974.38159375
transcript.pyannote[4198].end 22980.45659375
transcript.pyannote[4199].speaker SPEAKER_07
transcript.pyannote[4199].start 22980.79409375
transcript.pyannote[4199].end 22983.25784375
transcript.pyannote[4200].speaker SPEAKER_07
transcript.pyannote[4200].start 22983.81471875
transcript.pyannote[4200].end 22986.34596875
transcript.pyannote[4201].speaker SPEAKER_07
transcript.pyannote[4201].start 22986.46409375
transcript.pyannote[4201].end 23038.32096875
transcript.pyannote[4202].speaker SPEAKER_12
transcript.pyannote[4202].start 23033.25846875
transcript.pyannote[4202].end 23033.32596875
transcript.pyannote[4203].speaker SPEAKER_12
transcript.pyannote[4203].start 23033.39346875
transcript.pyannote[4203].end 23033.41034375
transcript.pyannote[4204].speaker SPEAKER_12
transcript.pyannote[4204].start 23033.42721875
transcript.pyannote[4204].end 23033.47784375
transcript.pyannote[4205].speaker SPEAKER_44
transcript.pyannote[4205].start 23040.09284375
transcript.pyannote[4205].end 23040.34596875
transcript.pyannote[4206].speaker SPEAKER_07
transcript.pyannote[4206].start 23040.34596875
transcript.pyannote[4206].end 23045.94846875
transcript.pyannote[4207].speaker SPEAKER_44
transcript.pyannote[4207].start 23040.36284375
transcript.pyannote[4207].end 23040.59909375
transcript.pyannote[4208].speaker SPEAKER_06
transcript.pyannote[4208].start 23040.59909375
transcript.pyannote[4208].end 23040.61596875
transcript.pyannote[4209].speaker SPEAKER_07
transcript.pyannote[4209].start 23046.30284375
transcript.pyannote[4209].end 23047.43346875
transcript.pyannote[4210].speaker SPEAKER_06
transcript.pyannote[4210].start 23046.33659375
transcript.pyannote[4210].end 23049.44159375
transcript.pyannote[4211].speaker SPEAKER_06
transcript.pyannote[4211].start 23049.57659375
transcript.pyannote[4211].end 23052.37784375
transcript.pyannote[4212].speaker SPEAKER_07
transcript.pyannote[4212].start 23052.24284375
transcript.pyannote[4212].end 23083.61346875
transcript.pyannote[4213].speaker SPEAKER_07
transcript.pyannote[4213].start 23085.90846875
transcript.pyannote[4213].end 23095.05471875
transcript.pyannote[4214].speaker SPEAKER_07
transcript.pyannote[4214].start 23095.42596875
transcript.pyannote[4214].end 23097.24846875
transcript.pyannote[4215].speaker SPEAKER_07
transcript.pyannote[4215].start 23097.60284375
transcript.pyannote[4215].end 23108.06534375
transcript.pyannote[4216].speaker SPEAKER_07
transcript.pyannote[4216].start 23108.26784375
transcript.pyannote[4216].end 23131.47096875
transcript.pyannote[4217].speaker SPEAKER_46
transcript.pyannote[4217].start 23111.65971875
transcript.pyannote[4217].end 23111.72721875
transcript.pyannote[4218].speaker SPEAKER_07
transcript.pyannote[4218].start 23131.85909375
transcript.pyannote[4218].end 23132.19659375
transcript.pyannote[4219].speaker SPEAKER_07
transcript.pyannote[4219].start 23132.66909375
transcript.pyannote[4219].end 23145.05534375
transcript.pyannote[4220].speaker SPEAKER_07
transcript.pyannote[4220].start 23145.88221875
transcript.pyannote[4220].end 23150.21909375
transcript.pyannote[4221].speaker SPEAKER_44
transcript.pyannote[4221].start 23150.26971875
transcript.pyannote[4221].end 23150.55659375
transcript.pyannote[4222].speaker SPEAKER_07
transcript.pyannote[4222].start 23150.53971875
transcript.pyannote[4222].end 23163.56721875
transcript.pyannote[4223].speaker SPEAKER_04
transcript.pyannote[4223].start 23163.76971875
transcript.pyannote[4223].end 23164.57971875
transcript.pyannote[4224].speaker SPEAKER_04
transcript.pyannote[4224].start 23165.72721875
transcript.pyannote[4224].end 23167.90409375
transcript.pyannote[4225].speaker SPEAKER_04
transcript.pyannote[4225].start 23170.33409375
transcript.pyannote[4225].end 23172.93284375
transcript.pyannote[4226].speaker SPEAKER_04
transcript.pyannote[4226].start 23173.20284375
transcript.pyannote[4226].end 23175.90284375
transcript.pyannote[4227].speaker SPEAKER_04
transcript.pyannote[4227].start 23176.86471875
transcript.pyannote[4227].end 23178.73784375
transcript.pyannote[4228].speaker SPEAKER_04
transcript.pyannote[4228].start 23179.10909375
transcript.pyannote[4228].end 23182.06221875
transcript.pyannote[4229].speaker SPEAKER_04
transcript.pyannote[4229].start 23182.65284375
transcript.pyannote[4229].end 23203.37534375
transcript.pyannote[4230].speaker SPEAKER_04
transcript.pyannote[4230].start 23203.40909375
transcript.pyannote[4230].end 23206.54784375
transcript.pyannote[4231].speaker SPEAKER_04
transcript.pyannote[4231].start 23206.88534375
transcript.pyannote[4231].end 23209.36596875
transcript.pyannote[4232].speaker SPEAKER_04
transcript.pyannote[4232].start 23209.55159375
transcript.pyannote[4232].end 23213.01096875
transcript.pyannote[4233].speaker SPEAKER_04
transcript.pyannote[4233].start 23213.63534375
transcript.pyannote[4233].end 23219.03534375
transcript.pyannote[4234].speaker SPEAKER_04
transcript.pyannote[4234].start 23219.37284375
transcript.pyannote[4234].end 23225.46471875
transcript.pyannote[4235].speaker SPEAKER_04
transcript.pyannote[4235].start 23225.71784375
transcript.pyannote[4235].end 23231.86034375
transcript.pyannote[4236].speaker SPEAKER_04
transcript.pyannote[4236].start 23232.26534375
transcript.pyannote[4236].end 23234.44221875
transcript.pyannote[4237].speaker SPEAKER_04
transcript.pyannote[4237].start 23234.74596875
transcript.pyannote[4237].end 23235.96096875
transcript.pyannote[4238].speaker SPEAKER_04
transcript.pyannote[4238].start 23236.23096875
transcript.pyannote[4238].end 23238.12096875
transcript.pyannote[4239].speaker SPEAKER_04
transcript.pyannote[4239].start 23238.61034375
transcript.pyannote[4239].end 23240.56784375
transcript.pyannote[4240].speaker SPEAKER_04
transcript.pyannote[4240].start 23240.98971875
transcript.pyannote[4240].end 23242.39034375
transcript.pyannote[4241].speaker SPEAKER_04
transcript.pyannote[4241].start 23242.57596875
transcript.pyannote[4241].end 23244.36471875
transcript.pyannote[4242].speaker SPEAKER_04
transcript.pyannote[4242].start 23244.85409375
transcript.pyannote[4242].end 23247.08159375
transcript.pyannote[4243].speaker SPEAKER_04
transcript.pyannote[4243].start 23247.52034375
transcript.pyannote[4243].end 23248.93784375
transcript.pyannote[4244].speaker SPEAKER_04
transcript.pyannote[4244].start 23249.19096875
transcript.pyannote[4244].end 23251.06409375
transcript.pyannote[4245].speaker SPEAKER_04
transcript.pyannote[4245].start 23251.43534375
transcript.pyannote[4245].end 23258.06721875
transcript.pyannote[4246].speaker SPEAKER_04
transcript.pyannote[4246].start 23258.62409375
transcript.pyannote[4246].end 23265.27284375
transcript.pyannote[4247].speaker SPEAKER_04
transcript.pyannote[4247].start 23266.52159375
transcript.pyannote[4247].end 23266.89284375
transcript.pyannote[4248].speaker SPEAKER_04
transcript.pyannote[4248].start 23267.53409375
transcript.pyannote[4248].end 23270.62221875
transcript.pyannote[4249].speaker SPEAKER_04
transcript.pyannote[4249].start 23271.11159375
transcript.pyannote[4249].end 23272.09034375
transcript.pyannote[4250].speaker SPEAKER_04
transcript.pyannote[4250].start 23272.93409375
transcript.pyannote[4250].end 23274.63846875
transcript.pyannote[4251].speaker SPEAKER_04
transcript.pyannote[4251].start 23275.29659375
transcript.pyannote[4251].end 23285.65784375
transcript.pyannote[4252].speaker SPEAKER_04
transcript.pyannote[4252].start 23286.63659375
transcript.pyannote[4252].end 23287.27784375
transcript.pyannote[4253].speaker SPEAKER_04
transcript.pyannote[4253].start 23287.64909375
transcript.pyannote[4253].end 23291.41221875
transcript.pyannote[4254].speaker SPEAKER_04
transcript.pyannote[4254].start 23291.74971875
transcript.pyannote[4254].end 23297.26784375
transcript.pyannote[4255].speaker SPEAKER_04
transcript.pyannote[4255].start 23298.07784375
transcript.pyannote[4255].end 23300.15346875
transcript.pyannote[4256].speaker SPEAKER_04
transcript.pyannote[4256].start 23300.64284375
transcript.pyannote[4256].end 23303.47784375
transcript.pyannote[4257].speaker SPEAKER_04
transcript.pyannote[4257].start 23303.93346875
transcript.pyannote[4257].end 23304.76034375
transcript.pyannote[4258].speaker SPEAKER_43
transcript.pyannote[4258].start 23308.13534375
transcript.pyannote[4258].end 23308.47284375
transcript.whisperx[0].start 1802.573
transcript.whisperx[0].end 1826.849
transcript.whisperx[0].text 繼續開會首先要介紹在場的委員黃建豪委員廖先祥委員接下來因為是首次召開交通部業務報告那也向在場所有的朋友來介紹列席的官員交通部王國材部長
transcript.whisperx[1].start 1830.967
transcript.whisperx[1].end 1836.732
transcript.whisperx[1].text 公共運輸監理師林福山師長路政檔案師黃韻貴師長行政師韓振華師長交通產業發展及國際事務師陳進生師長綜合規劃師張垂榮師長交通科技及資訊師黃欣勛師長
transcript.whisperx[2].start 1856.892
transcript.whisperx[2].end 1865.036
transcript.whisperx[2].text 秘書處 黃定環 處長統計處 劉瑞文 處長政風處 劉廣基 處長人事處 陳崑源 處長法制處 許鴻達 處長運營所 林紀果 所長鐵道局 楊振軍 局長公務局 陳文瑞 局長高工局 趙新華 局長
transcript.whisperx[3].start 1882.335
transcript.whisperx[3].end 1903.182
transcript.whisperx[3].text 觀光署周永輝署長、航港局葉協榮局長、民用航空局何淑品局長、中央氣象署陳佳品署長、台鐵公司杜威董事長、港務公司李協義董事長、
transcript.whisperx[4].start 1917.366
transcript.whisperx[4].end 1944.755
transcript.whisperx[4].text 中華郵政吳洪某董事長桃園機場公司楊維福董事長高鐵公司江耀宗董事長中華航空謝士謙董事長陽明海運鄭振茂董事長中華電信郭水義董事長警政署航空警察局邱文亮局長
transcript.whisperx[5].start 1947.101
transcript.whisperx[5].end 1976.104
transcript.whisperx[5].text 台北市政府捷運工程局陳景慈副局長新北市捷運工程局鄭志敏副局長桃園市政府捷運局廖振遠副局長台中市公共運輸及捷運工程處張應當處長台南市交通局熊萬寅副局長台南市捷運工程處李蔣蕙處長高雄市政府捷運工程局吳家昌副局長
transcript.whisperx[6].start 1979.465
transcript.whisperx[6].end 1998.93
transcript.whisperx[6].text 本次會議進行交通部業務報告現在請王部長報告主席、各位委員、各位女士先生以下就交通部的業務進行報告
transcript.whisperx[7].start 2001.021
transcript.whisperx[7].end 2012.896
transcript.whisperx[7].text 在我這次報告是主要報告因為今年是剛開始我來報告1、2年的重要成果以及今年要做的一些事情首先報告1、2年重要的成果
transcript.whisperx[8].start 2014.031
transcript.whisperx[8].end 2031.343
transcript.whisperx[8].text 在1月2年裡面我們有完成很多相關的一個計畫第一個是國道2號甲線這個在去年1月9號通車國道4號台中環線這是在1月16然後另外國道10號的燕巢交流道這是在去年4月28完成
transcript.whisperx[9].start 2034.585
transcript.whisperx[9].end 2060.723
transcript.whisperx[9].text 另外就是國道3號跟66線的這個北路工程在6月30那我們現在很重要一點就是說過去快速道路跟國道沒有銜接的系統交流道那我們這幾年都是在持續的來加強另外有一些服務因為人口發展這個服務不到的地方比如說國道1號的矽子交流道增設南路閘道這個也在去年10月30號完成
transcript.whisperx[10].start 2062.264
transcript.whisperx[10].end 2086.762
transcript.whisperx[10].text 那另外在省道部分在台南很重要的急雪溪橋的改建在去年7月6號那另外台65線這個福州地區的北上南下的閘道在去年8月29號完成那另外就是台74的大甲霧峰偵測閘道這個就是一般的講的這個草湖交流道這也在去年的10月底完成
transcript.whisperx[11].start 2087.711
transcript.whisperx[11].end 2101.377
transcript.whisperx[11].text 那另外就是花東的這個委員關心的花東縱谷的景觀大道我們先完成第一段就是臺東瑞豐道永安段在去年11月17日完成那接下來報告這個鐵道建設的部分
transcript.whisperx[12].start 2103.239
transcript.whisperx[12].end 2124.27
transcript.whisperx[12].text 華東的這個雙軌工程在這個南平到萬隆的雙軌化那這個部分在去年的6月27已經完成了那另外機場捷運營業以後他現在要延伸到中壢那其中的A22站這個老街西站那在去年7月31號完成那另外英哥他的
transcript.whisperx[13].start 2125.891
transcript.whisperx[13].end 2128.457
transcript.whisperx[13].text 我們在去年9月27日完成這個電蝴蝶的啟用
transcript.whisperx[14].start 2134.192
transcript.whisperx[14].end 2153.79
transcript.whisperx[14].text 那另外在五分車,台糖嘉義蒜頭糖廠的五分車到故宮南苑那現在大家如果搭高鐵到嘉義站直接出來以後就可以搭五分車,直接可以到故宮南苑那另外台鐵新過的通勤電雷車520輛也都投入營運了
transcript.whisperx[15].start 2158.406
transcript.whisperx[15].end 2172.395
transcript.whisperx[15].text 另外就是在去年最重要一件事情就是台鐵公司化經過非常溝通然後也勞資協商的一個過程在去年的1月1號完成台鐵公司化
transcript.whisperx[16].start 2173.297
transcript.whisperx[16].end 2191.263
transcript.whisperx[16].text 接下來報告機場的建設松山跟台中高雄這個是我們也完成2040年的整體規劃那行政院合併我們按照整體規劃的內容持續來加強建設那另外就是在去年的午夜我們南竿機場
transcript.whisperx[17].start 2192.703
transcript.whisperx[17].end 2212.571
transcript.whisperx[17].text 這一個整修跟擴建工程完成那臺中機場很重要它的整個國內航線的這個整建還有臺東機場空撤的改善工程也在去年都完成了那另外桃園機場最重要的建設就是三航廈三跑道那其中涉及到航空城的這個徵收的一個計畫
transcript.whisperx[18].start 2215.132
transcript.whisperx[18].end 2226.705
transcript.whisperx[18].text 我們在去年已經優先取得優先搬遷區的全部土地總共71%的搬遷已經都完成了
transcript.whisperx[19].start 2228.323
transcript.whisperx[19].end 2240.33
transcript.whisperx[19].text 另外就是自由貿易港區的部分在第一期完成以後在去年6月我們增加了自動加值廠房總共3.4萬坪那這個在7月12日已經啟用它可以帶動大概5000個就業機會然後每年1.5兆的貿易額
transcript.whisperx[20].start 2250.339
transcript.whisperx[20].end 2275.655
transcript.whisperx[20].text 港屋建設部分包括第7後櫃中心第一期在去年5月然後在去年3月就高雄禮安大樓也完工那另外就是禮安的風電我們現在的配合禮安風電的一個整個這個能源轉型的政策在禮安風電台中是一個很重要的一個基地那我們現在包括
transcript.whisperx[21].start 2276.696
transcript.whisperx[21].end 2303.403
transcript.whisperx[21].text 在去年1月還有包括臺中港3738號碼頭還有高雄港的A6碼頭這個後方的這個填住工程都已經完成了那另外很重要臺中港南填方的開工它未來是一個所謂移動風機的一個基地這個也開始開工了那另外基隆港的部分基隆港部分是有一個很完整的一個計畫
transcript.whisperx[22].start 2304.505
transcript.whisperx[22].end 2327.364
transcript.whisperx[22].text 那在去年底金融港的西遷工程的這個組建物都完成今年3月會全部都這個移過去那另外就是除了他的港戶設施這個包括西岸跟東岸的這些未來就是這個郵輪的這個基地這個都這個理應中心都已經完成了那另外在
transcript.whisperx[23].start 2329.794
transcript.whisperx[23].end 2352.893
transcript.whisperx[23].text 國際觀光課的一個部分在觀光署在5月推動加速擴大吸引國際課的這個方案那在去年這個總共有648萬人次這已經比我們600萬人次已經比他多48萬那另外就是未來進一步的讓我們的這個觀光能夠在國際有競爭力
transcript.whisperx[24].start 2357.25
transcript.whisperx[24].end 2367.403
transcript.whisperx[24].text 觀光署執行觀光前瞻計劃,這是110-114的計劃,包括打造東北角、北關、日月潭、阿里山、東海岸、澎湖6個國際魅力景區,總共24處亮點工程。
transcript.whisperx[25].start 2373.871
transcript.whisperx[25].end 2391.926
transcript.whisperx[25].text 總共已經現在完成12項的這個亮點工程那另外就是油輪的部分我們在去年總共有327艘次有大概55萬人已經搭了油輪所以他的付出已經大概一半已經付出到一半那另外就是公共運輸的這個部分
transcript.whisperx[26].start 2394.281
transcript.whisperx[26].end 2403.914
transcript.whisperx[26].text TPAS通行業票在去年總共17個縣市實施那到去年12月底總共有387萬
transcript.whisperx[27].start 2406.941
transcript.whisperx[27].end 2431.572
transcript.whisperx[27].text 9000人就是購買月票總共2.79億人這個使用那現在到2月底事實上已經3.65億所以那成長的非常的快那我們公共運輸的使用量增加15.05%那另外就是所謂偏鄉正義的部分新五八十是我們公務局很重要的一個政策到去年底總共173個鄉鎮436條路線
transcript.whisperx[28].start 2436.716
transcript.whisperx[28].end 2443.567
transcript.whisperx[28].text 這個偏鄉的公共運輸率已經到91.97%另外在偏鄉正義有關離島的海運部分
transcript.whisperx[29].start 2444.941
transcript.whisperx[29].end 2470.922
transcript.whisperx[29].text 我們新台馬輪這個是在4月16日投入這個營運另外澎湖輪在9月6日去年9月6日就是也投入這個營運那在智慧運輸的部分我們從109到112持續補助各縣市政府辦理這個車聯網的相關的一個計畫那在去年6月這個
transcript.whisperx[30].start 2473.154
transcript.whisperx[30].end 2478.904
transcript.whisperx[30].text 2023的OMI-L Taipei Fly Fest這次在我們淡海來舉辦未來它會變成一個車輪碗的一個測試基地
transcript.whisperx[31].start 2483.169
transcript.whisperx[31].end 2503.545
transcript.whisperx[31].text 另外在氣象服務的部分在中央氣象局在112年去年完成花蓮氣象雷達升級工程也整合7座氣象雷達偵測網另外他因為在海邊的這些比較危險所以25站的沿岸的自動氣象站這個完成
transcript.whisperx[32].start 2504.286
transcript.whisperx[32].end 2530.822
transcript.whisperx[32].text 那另外就是很多爬山旅遊在山區的部分也需要去鄉的服務所以他們也做了山區暴雨的這個溪水暴漲警示系統這個現在有10個縣市19個溪流區在進行那我們郵政物流中心資訊中心在去年11月30號已經完工那大部分大家是最關心的
transcript.whisperx[33].start 2532.952
transcript.whisperx[33].end 2558.367
transcript.whisperx[33].text 我們在道路交通安全基本法在今年1月1日很謝謝立法院交通委員的支持在1月1日已經實施了在今年1月25日第一次的中央道路交通安全匯報由陳院長來主持另外就是我們當天也通過國家道路交通安全綱要計劃
transcript.whisperx[34].start 2560.008
transcript.whisperx[34].end 2576.224
transcript.whisperx[34].text 那這個計畫後續就是部會的這個年度的一些推動計畫以及這個縣市的一些執行計畫他們就按照這樣來進行那另外接下來包括這個
transcript.whisperx[35].start 2578.571
transcript.whisperx[35].end 2587.816
transcript.whisperx[35].text 以下報告一三年的重要工作就今年的大概有哪些還會完工的第一個是國道7號偵測去市縣的這個工程這5月會通車那國道3號接66這個在這個10月那另外
transcript.whisperx[36].start 2597.581
transcript.whisperx[36].end 2614.335
transcript.whisperx[36].text 東草屯休息站在這個7月會完工啟用那省道的部分包括臺二線宜蘭頭城這個透關就是大溪橋的這個改建這個在5月那另外就是花東縱谷的花蓮大禹到玉里的透關在6月完成
transcript.whisperx[37].start 2615.055
transcript.whisperx[37].end 2638.268
transcript.whisperx[37].text 另外就是臺15縣跟臺4縣這個配合未來我們第三航道他會改縣這個在今年的10月臺15縣會做一個改道另外臺18的金輝橋這個是11月會來完成另外臺9縣花東縱谷景觀大道的護里到護南路段這也在12月會完工
transcript.whisperx[38].start 2639.787
transcript.whisperx[38].end 2656.049
transcript.whisperx[38].text 議員會議員
transcript.whisperx[39].start 2656.149
transcript.whisperx[39].end 2680.643
transcript.whisperx[39].text 今年第二季會完工那另外鐵路地下化的偵測後面臨時戰這在今年年底也會完工那有關於台鐵安全改革的部分這也是我們成立公司裡面最重要一件事情那安全委員會這個我們現在已經提了五年一起的安全提升計畫那也把整個安全的這個制度建立在這個組織成立安全管理的
transcript.whisperx[40].start 2681.323
transcript.whisperx[40].end 2681.683
transcript.whisperx[40].text 委員會主席
transcript.whisperx[41].start 2698.591
transcript.whisperx[41].end 2715.097
transcript.whisperx[41].text 今年也包括3號、海豐號這個完工來使用有關於機場的建設第三航廈朝115年第三跑道119年我們持續在進行另外就是
transcript.whisperx[42].start 2717.52
transcript.whisperx[42].end 2744.213
transcript.whisperx[42].text 台灣機場的第2自由貿易港區總共73.69公頃這我們已經在規劃建設就未來在下一期的這個自由貿易港讓它能夠擴大那另外在港戶建設的部分在今年7月高雄港7候櫃會完全完工然後在今年的3月澎湖馬工的這個一號碼頭研建那未來讓這個15噸的郵輪也可以停靠
transcript.whisperx[43].start 2745.578
transcript.whisperx[43].end 2759.37
transcript.whisperx[43].text 那另外就是風機基地在高雄港A6的這個部分113年會完成A6碼頭那另外台中港的3738跟南天荒就是持續進行在114年會完工
transcript.whisperx[44].start 2761.107
transcript.whisperx[44].end 2784.568
transcript.whisperx[44].text 另外在觀光行銷部分今年會增設印度、印尼、法國的觀光服務處來擴大我們海外行銷的據點那另外就是觀光的建設包括重要觀光景區的中長城計畫還包括體驗觀光這個有升級計畫這個也持續在進行那今年就是以恢復到疫情前的1200萬為我們的目標
transcript.whisperx[45].start 2787.569
transcript.whisperx[45].end 2804.384
transcript.whisperx[45].text 另外就是我們的國家智慧景區今年會成立智慧景區專案辦公室PMO來由5個公館處來做起另外我們為了福島產業在13年也要福島7家觀光旅館起的環保
transcript.whisperx[46].start 2805.225
transcript.whisperx[46].end 2806.206
transcript.whisperx[46].text 委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[47].start 2830.452
transcript.whisperx[47].end 2843.867
transcript.whisperx[47].text 離島的部分除了剛才談到兩艘船完成以後在今年7月白沙之星2號也會完工然後這個蘭嶼的跑道工程在6月也會完工
transcript.whisperx[48].start 2844.605
transcript.whisperx[48].end 2866.953
transcript.whisperx[48].text 那智慧運輸的部分主要是針對智慧運輸系統而發展的建設配合5G的發展來提升我們運輸管理的效率那氣象裡面就包括我們第6代高速電腦的啟用還有現在也積極投入AI在氣象的這個業務那郵政物流園區這個北台灣物流中心
transcript.whisperx[49].start 2867.853
transcript.whisperx[49].end 2895.062
transcript.whisperx[49].text 就是整體會在今年完全竣工那道安的部分今年我們以死亡下降5%新人死亡下降7、8為我們的目標那透過道路交通安全基本法以及我們包括永續提升新人安全的計畫的這個400億我們期待就是整個道安道安在今年已經有下降我們持續有更有一個大幅的一個下降
transcript.whisperx[50].start 2895.885
transcript.whisperx[50].end 2924.566
transcript.whisperx[50].text 我想以下我就很簡單的報告,業務報告那進行各位委員指教,謝謝現在補充介紹在場委員陳樹葉委員林佩翔委員林國成委員現在進行選答先進行宣告以下事項
transcript.whisperx[51].start 2926.184
transcript.whisperx[51].end 2951.316
transcript.whisperx[51].text 發言時間因為是交通部首次業務報告而讓各位委員有更充足的發言時間初期委員8加2分鐘列席委員6分鐘委員發言登記於10點30分截止各委員如有提案請於10點前提出以便醫師人員會診
transcript.whisperx[52].start 2954.353
transcript.whisperx[52].end 2964.71
transcript.whisperx[52].text 暫定10點30分休息10分鐘中午原則上不休息現在請登記第一位委員來發言請陳書業委員來代為主持
transcript.whisperx[53].start 2980.549
transcript.whisperx[53].end 2999.635
transcript.whisperx[53].text 現在請登記第一位發言李坤澤召委發言謝謝陳書瑞委員請王國材部長、機場公司楊董事長楊董事長還有高鐵公司江耀忠董事長請江董事長
transcript.whisperx[54].start 3010.203
transcript.whisperx[54].end 3038.455
transcript.whisperx[54].text 公路總局陳文瑞局長請陳文瑞局長好,再會長王部長民眾出國是基於商務考察、開會工作或者是旅遊探親等等都必須在好幾個月前做好相關的規劃要出國不是要去高雄看黃色小鴨
transcript.whisperx[55].start 3039.875
transcript.whisperx[55].end 3063.999
transcript.whisperx[55].text 不是要去看五月天的演唱會都要好幾個月前就要做好相關的交通規劃因為還有轉機等等相關的重要因素去必須做考量但是我們看到桃園機場啊攔跑道的稅休造成大量旅客的權益受損我們看到旅客啊在機場徬徨無助憤怒挫惡
transcript.whisperx[56].start 3070.239
transcript.whisperx[56].end 3099.347
transcript.whisperx[56].text 整個交通部、整個機場公司螺絲吊滿地那我們看到桃園機場的南跑道稅修的相關流程在去年11月開始規劃12月、今年1月、2月都有相關的聯席的這種邀集討論對象包括航空公司、代表聯席會相關的業者飛航管制單位、地勤業者等等
transcript.whisperx[57].start 3100.881
transcript.whisperx[57].end 3109.721
transcript.whisperx[57].text 直到機場公司直到今年的2月21日才發布飛航的公告3月3日開始稅休
transcript.whisperx[58].start 3110.816
transcript.whisperx[58].end 3139.673
transcript.whisperx[58].text 中間僅僅間隔了11天來請你們簡單說明一下我先簡單說明第一個這個跑道的稅休是航岸的一部分那的確台灣機場24小時營運封閉一個跑道的確影響很大那的確盧委員所說的他雖然在從去年就開始討論這個事情但是我覺得在2月21要發布非常公告
transcript.whisperx[59].start 3141.432
transcript.whisperx[59].end 3163.351
transcript.whisperx[59].text 是不是包括航空公司還有民眾了解這個事情這個事的確有這裡面當然有很大的行政的瑕疵對於旅客的權利踐踏到這種程度全國民眾都非常的不滿對政府、對交通部的威信造成很大的衝擊那我先請教你們認為原因是什麼
transcript.whisperx[60].start 3166.465
transcript.whisperx[60].end 3181.351
transcript.whisperx[60].text 第一個當然就是我們後來檢討就是發布非常公告應該在3個月前就發布然後你們只公布了11天那另外就是說在航管的部分就是說各國飛機到我們的飛揚情報區
transcript.whisperx[61].start 3182.671
transcript.whisperx[61].end 3183.372
transcript.whisperx[61].text 部長有多少旅客受到影響?
transcript.whisperx[62].start 3211.991
transcript.whisperx[62].end 3212.651
transcript.whisperx[62].text 那相關的旅客有沒有賠償的問題你們有做這樣的規劃嗎?是否賠償?
transcript.whisperx[63].start 3230.698
transcript.whisperx[63].end 3260.038
transcript.whisperx[63].text 跟委員報告因為剛剛所提到的我們在規劃的過程是從去年11月就開始那這個討論呢其實是包含航空公司、航管等有關部門都大家一起來討論所以我們是在今年的1月下旬確定這個執行的日期是在3月份的第一個這個你們1月2月都有討論嘛然後到2月21才發布這個飛航的公告嘛
transcript.whisperx[64].start 3261.248
transcript.whisperx[64].end 3287.883
transcript.whisperx[64].text 是跟委員報告我們的日期是會決定在先因為這樣的解釋民眾不會接受我認為部長跟桃居公司的董事長總經理應該在這裡公開的向所有的旅客跟國人公開的道歉來部長說明一下我真的對於3月3日當天造成這個民眾的不便我在這裡表示非常
transcript.whisperx[65].start 3290.083
transcript.whisperx[65].end 3314.01
transcript.whisperx[65].text 抱歉我想說這部分3月3日發生以後我要請我們的次長進駐然後也做了標準作為程序的討論我想這一次事實上過去他都有稅休那的確是這次稅休的範圍比較廣所以時間比較長但是我覺得這個尤其現在已經恢復到全世界疫情後的恢復航班的情形我是覺得這個部分
transcript.whisperx[66].start 3315.09
transcript.whisperx[66].end 3343.798
transcript.whisperx[66].text 已經有檢討過那我想我會請他們完全按照我們這個所檢討這個流程來處理部長我不客氣的講你督導不周我在這邊要更嚴厲的告訴機場公司的董事長跟總經理如果再有這種混亂的狀況你們兩個都必須要下台必須要負起相關的責任旅客的權利必須要用心去維護你們讓旅客在機場等待
transcript.whisperx[67].start 3345.066
transcript.whisperx[67].end 3346.327
transcript.whisperx[67].text 接下來我要問高鐵公司
transcript.whisperx[68].start 3376.246
transcript.whisperx[68].end 3395.834
transcript.whisperx[68].text 我們現在真的是在假日的時候一票難求尤其是以年假我們以2019跟2023的中秋的年假以它的平均日的運量來看2023比2019的中秋的日平均運量
transcript.whisperx[69].start 3397.247
transcript.whisperx[69].end 3414.619
transcript.whisperx[69].text 每一天就大概多出2萬人左右 這個運量提升非常的大當然我們在2023的中秋及雙十年假 高鐵公司也全力要去做好運輸的工作我們有30組列車全部的出動 34組的列車全部出動
transcript.whisperx[70].start 3418.542
transcript.whisperx[70].end 3428.109
transcript.whisperx[70].text 然後單日的班次也排到最高192班次但是部長跟董事長我們還是有旅客等車要等3個小時以上
transcript.whisperx[71].start 3429.832
transcript.whisperx[71].end 3455.765
transcript.whisperx[71].text 這就是說我們相關的這些班次還必須要更有效的去做調整當然34組都已經動用全部都動用我們的新車12組要到2026的下半年才會到對不對董事長是的然後我們到2026車到要2027經過測試等等可能就要一年要到2027才能夠正式的營運
transcript.whisperx[72].start 3457.403
transcript.whisperx[72].end 3482.109
transcript.whisperx[72].text 沒有錯那我們現在高鐵真的是一票難取尤其是假日的時候啦高鐵還沒有通車的時候我就在交通委員會那有多次你們都說高鐵公司要調整票價等等我就清楚的說明高鐵公司的問題是運量不是票價那現在運量逐漸的這樣的一個提升
transcript.whisperx[73].start 3483.157
transcript.whisperx[73].end 3491.352
transcript.whisperx[73].text 那我先請教我們在之前有跟董事長跟總經理有討論我們高鐵的班次
transcript.whisperx[74].start 3492.659
transcript.whisperx[74].end 3516.073
transcript.whisperx[74].text 在考量車輛的安全維修以及員工的工作權利等等是否還有再增加班次的這個空間尤其是7月7月馬上相關的假期就要到了來請董事長說明一下我們目前每週的班次是1060班那當然在3月份的
transcript.whisperx[75].start 3518.475
transcript.whisperx[75].end 3537.686
transcript.whisperx[75].text 後兩個禮拜我們都有所謂應應短期的增班那到7月1號公司還會再檢討我們的場態的增班那以公司的這些運能來講我們是還有機會還可以增班還有機會大概能增加多少班
transcript.whisperx[76].start 3540.558
transcript.whisperx[76].end 3568.544
transcript.whisperx[76].text 大約大約40班次好 董事長高鐵公司在運量的提升這方面有做出成績但是我還是認為增加班次是一個必然的趨勢但是一定要考量相關的車輛維護鐵道的保養以及相關員工的工時權利等等都要做好全部的一個規劃這個一定會這樣 謝謝好 那接下來
transcript.whisperx[77].start 3569.591
transcript.whisperx[77].end 3591.499
transcript.whisperx[77].text 我要針對無照駕駛的部分來請教我們的部長部長我們交通部在駕駛人的這個教育跟監理方面的確是有做相關的一個規劃但是我們忽略了駕照有很多被吊銷、吊扣之後
transcript.whisperx[78].start 3592.93
transcript.whisperx[78].end 3612.905
transcript.whisperx[78].text 沒有去考照、不願去考照、仍然無照駕駛這些有多少人呢?你知道嗎?有14萬人部長這5年來無照駕駛的累犯他的裁判的人數跟件數啊人數以今年來說以2023年去年來說啊達到14萬5318人
transcript.whisperx[79].start 3619.181
transcript.whisperx[79].end 3619.521
transcript.whisperx[79].text 公務委員報告
transcript.whisperx[80].start 3648.43
transcript.whisperx[80].end 3669.931
transcript.whisperx[80].text 因為無照駕駛我想我們大概可以分成三類第一類就是說比較年長的年長的就是說他有可能就是他可能因為之前也有就是說他可能沒辦法考上駕照那對於年長的需求的部分其實我們現在正在就是說在各村林裡坐這一個幸福巴士幸福小黃讓他們不用去騎車
transcript.whisperx[81].start 3672.173
transcript.whisperx[81].end 3698.192
transcript.whisperx[81].text 談刑預約、用公車票價﹑可以達到計程車的服務這是一類第二類就是年幼18歲以下的18歲以下本來現在就是說依法令規定就是不能考駕照那如果說無照的部分的話其實這邊包括就是說列管以及就是講習其實講習的時候還要求就家長要共同來那賦予就是說家長也要這個督促這個年幼18歲以下的
transcript.whisperx[82].start 3698.812
transcript.whisperx[82].end 3717.294
transcript.whisperx[82].text 第三類其實就是在這個18歲以上其實他是因為這個違規那重大的違規會被吊銷、吊扣、駕照那這個部分因為重大違規的處罰本來就應該就是說他有一個期間他比如說是3年、6年或是更長的你期間不能考照
transcript.whisperx[83].start 3718.094
transcript.whisperx[83].end 3743.648
transcript.whisperx[83].text 這個部分的話我想在這一類的這個部分的話未來我們其實監理機關跟這個當地的警察機關我想在整個的一個這個名冊上面列管我們會跟因為這個本來這類的人就是處罰是不能上路的他在這個處罰吊銷吊扣期間是不能上路的那這個部分的話我想我們會跟這個警察機關共同就是說對於這類的人
transcript.whisperx[84].start 3745.149
transcript.whisperx[84].end 3745.71
transcript.whisperx[84].text 現在請林國成委員發言
transcript.whisperx[85].start 3784.419
transcript.whisperx[85].end 3787.52
transcript.whisperx[85].text 謝謝主席請我們部長請王部長另外一位早部長早我想剛才看到你的工作報告洋洋灑灑寫的八面玲瓏恰如無缺點但是事實上交通的問題缺點一大堆第一
transcript.whisperx[86].start 3814.161
transcript.whisperx[86].end 3828.312
transcript.whisperx[86].text 我們就來談一談我們在制定法令的時候祭典政策那個是你決策的或者底下提出來的
transcript.whisperx[87].start 3829.861
transcript.whisperx[87].end 3835.723
transcript.whisperx[87].text 部長拜託拜託我問你是底下決策或者你決策你回答我就好了最後是我決策是你決策其實說實在的部長
transcript.whisperx[88].start 3855.033
transcript.whisperx[88].end 3880.672
transcript.whisperx[88].text 違規祭典這個政策當然有正反雙方也是俗語講的這個父子祈禮啦怎麼做都不對但是這裡啊改任何政策的時候要越改越好不是越改越錯誤所以啊我的認為啊這整個事件當然我也知道前兩天
transcript.whisperx[89].start 3882.11
transcript.whisperx[89].end 3898.44
transcript.whisperx[89].text 你們的司長還有召開一個用路人跟使用人包括駕駛人等等這些去開一個針對這個亡羊補腦的一個政策去做協調溝通但是我要提供給部長的
transcript.whisperx[90].start 3899.434
transcript.whisperx[90].end 3925.396
transcript.whisperx[90].text 就是你們這個政策制定的時候就是事前不溝通規劃不前面上路不宣導駕駛人不滿意行人不買單基層執行人員是不堪祈禱所以部長我本席的這種斷言你認為有沒有理由
transcript.whisperx[91].start 3926.867
transcript.whisperx[91].end 3943.742
transcript.whisperx[91].text 的確我剛才講一半就去年這時候的新任第一讓我們覺得說從執法是一個短期的教育所以當時的確有這樣的氛圍所以我們也以此作為一個比較嚴格的政策雖然剛剛我有沒有在去年的這個政策事實上有它的效果
transcript.whisperx[92].start 3944.463
transcript.whisperx[92].end 3962.752
transcript.whisperx[92].text 道安的數據都這個死亡都下降很多那的確在道路的條件還沒做好以前有很多比如說違違規的包括林庭等等的所以這個部分的確是你那個下降主要原因不是這個政策
transcript.whisperx[93].start 3963.752
transcript.whisperx[93].end 3990.377
transcript.whisperx[93].text 下降主要原因有多重的原因會下降所以你不要把以為這個錯誤的政策你就把它當成是一個車後的下降其實這些臨庭、這些祭典根本不是降低所有車後主要原因所以啊我坦白跟你講針對這個針對這個祭典政策我坦白講
transcript.whisperx[94].start 3991.457
transcript.whisperx[94].end 4018.92
transcript.whisperx[94].text 未謀其利先受其害你知道明艷是其嗎所以部長沒有關係你們現在已經在做亡羊補牢的動作但是我還是希望你們制定政策的時候千萬不要駕駛人跟行人去行人充體家具的這個政策這基本上不是老百姓要的東西嘛所以
transcript.whisperx[95].start 4020.644
transcript.whisperx[95].end 4044.026
transcript.whisperx[95].text 我講實在的當然這有正反雙方當然要確保用路人那當然審視這個駕駛人但是這兩者之間你們在制定法令千萬不要制定下去又改就改這個政府威信會受損所以我還是要拜託我還是要拜託其實
transcript.whisperx[96].start 4045.367
transcript.whisperx[96].end 4063.515
transcript.whisperx[96].text 我還是建議各地方政府他還沒有完善配套的東西千萬就不要貿然的實施所以亡羊補寮你們現在是有必要去做的所以這個祭典政策據說你們現在怎麼決定
transcript.whisperx[97].start 4065.026
transcript.whisperx[97].end 4094.506
transcript.whisperx[97].text 我們現在就是違罪不祭典就1200塊以下我們就不祭典不能開放民眾檢舉另外有一個是進行舉花包括科技之外跟民眾這個檢舉的部分不祭典大概目前現在根本報告的確道安跟這個民怨中間要找一個平衡的很辛苦事實上比如說你現在簽一簽的賣員也有這個大家講說可能要3000元有的又太高等等的
transcript.whisperx[98].start 4095.126
transcript.whisperx[98].end 4124.669
transcript.whisperx[98].text 有時候交通政策的確是很難找到平衡點的確我跟委包的確過去年這個決定我們當時是很急著要大量改善也的確沒有注意到剛才委員所提的這些環境的課題不是啊 這個部長當然啦 因為我不希望希望你們坐在辦公室去做任何政策違背民意違背製造民怨的東西啦這不管任何人執政另外
transcript.whisperx[99].start 4125.73
transcript.whisperx[99].end 4139.706
transcript.whisperx[99].text 另外一回事但是老百姓他基本權利你說用路人的權利我基本上我是支持但是你不要忘了駕駛人的使用權利因為我們根本都沒有完善的規劃幾例
transcript.whisperx[100].start 4141.708
transcript.whisperx[100].end 4159.961
transcript.whisperx[100].text 6都裡面紅線滿天灰你叫他怎麼不能臨庭呢尤其你要制定計程車司機我們台北市現在這個檢舉達人一大堆他有可能不要一個月有可能啊就是10天他就馬上達到12點
transcript.whisperx[101].start 4161.542
transcript.whisperx[101].end 4183.273
transcript.whisperx[101].text 所以這點部長,你們現在既然在汪洋補牢,我希望做得透徹一點,不要造成民厭,你們就開始再做這些好不好我想這個社會的溝通,我想說我們現在是一個調整,雖然政策是改變,但是是一個調整到比較平衡的地方
transcript.whisperx[102].start 4184.233
transcript.whisperx[102].end 4186.316
transcript.whisperx[102].text 部長還有跟你投訴一下有去參加你們協調會的人
transcript.whisperx[103].start 4199.972
transcript.whisperx[103].end 4216.522
transcript.whisperx[103].text 我敬請你們師長在組織會議的時候還是要聆聽別人的意見不要自己先入為止你既然請他來就聽聽他們的意見再來做決定不要一意孤行 竭得官僚氣喜鼠祖這點我要鼓勵
transcript.whisperx[104].start 4218.143
transcript.whisperx[104].end 4218.483
transcript.whisperx[104].text 我們說實在的
transcript.whisperx[105].start 4240.161
transcript.whisperx[105].end 4257.054
transcript.whisperx[105].text 我們是來討論我們召集人所講的基礎是國際這種南機場修復老早就訂定的方法那請問一下你們不覺得你們協調溝通橫向聯繫是不足的這個就是啊
transcript.whisperx[106].start 4263.001
transcript.whisperx[106].end 4281.254
transcript.whisperx[106].text 跟我剛剛跟你講的一樣我們交通部通通都是本位主義通通只要各自為政認為自己做的才是對這個是橫向聯繫不足嘛所以部長我要坦白跟你講你很認真做但是會咳嗽的人這樣扮我告訴你這個叫儀效國際
transcript.whisperx[107].start 4286.751
transcript.whisperx[107].end 4287.072
transcript.whisperx[107].text 準備不足 因應時機
transcript.whisperx[108].start 4302.01
transcript.whisperx[108].end 4322.624
transcript.whisperx[108].text 溝通失靈所以我要跟部長說這當然既然發生你如果已經搶修的所以我是覺得你們的因應真的失據嘛這老早要規劃的是你們修復的稅修的政策老早就要溝通的怎麼會發生這個事你剛才在說我剛才不是跟你說
transcript.whisperx[109].start 4326.026
transcript.whisperx[109].end 4353.675
transcript.whisperx[109].text 這裡我有一個數據啦也就是影響很慘的是326班級的這裡面平均啊占14%啊30分占10%兩休息我告訴你人家都打亂人家來到台灣或者要出國的人回來你知道是什麼台灣政府都這樣不是說王國材不好而是台灣政府都這樣所以我希望
transcript.whisperx[110].start 4354.758
transcript.whisperx[110].end 4380.185
transcript.whisperx[110].text 部長這個可能還是要加強一下最後最後我還是特別請那個觀光署其實蘇柳你拜訪我的時候說觀光做得很好我承認我承認但是我覺得有很多不好
transcript.whisperx[111].start 4382.819
transcript.whisperx[111].end 4407.053
transcript.whisperx[111].text 我們國內的飯店的房價是多國外兩倍以上從三年前到現在成長百分之五十幾所以拜託我的主題你要發展觀光就是要有這種配套方式所以我要拜託
transcript.whisperx[112].start 4408.28
transcript.whisperx[112].end 4433.72
transcript.whisperx[112].text 署長不是經費的問題做法的問題那飯店現在很簡單他都只有做禮拜六、禮拜天欸是南島最高的一枚一萬五千塊勒但是我到亞洲地區去啊我兩萬多我可以設五間你想一想你怎麼發展觀光所以拜託署長拜託部長我跟你講
transcript.whisperx[113].start 4435.421
transcript.whisperx[113].end 4435.501
transcript.whisperx[113].text 我們來介紹,謝謝
transcript.whisperx[114].start 4460.834
transcript.whisperx[114].end 4465.316
transcript.whisperx[114].text 林委員發言完畢。現在請廖先祥委員發言。好,謝謝趙委員。那一樣麻煩我們的部長。請王部長。部長今天一樣先來跟您討論行人的問題。
transcript.whisperx[115].start 4485.805
transcript.whisperx[115].end 4509.742
transcript.whisperx[115].text 行人在我們的交通法規當中他大概是一個族群嘛齁行人的族群但是其實行人也是非常的多元那包括我們每一個位都是行人有我們一般的成年人那有引法族有主拐杖的有推輪椅的那有小朋友會亂跑的嘛對不對那相對起來我們的引法族走在我們的人行道的時候他相對走的比較慢一點嘛
transcript.whisperx[116].start 4510.583
transcript.whisperx[116].end 4529.948
transcript.whisperx[116].text 那他可能被碰撞受傷的可能性也比較高一點相對起來是比較脆弱一點的那我們有沒有曾經考慮過在這個人行道規劃我們銀髮族的一個專區請我們的銀髮族走在特定的區域請他們不要走在其他的地方我們交通部有這樣子的考慮過嗎
transcript.whisperx[117].start 4531.848
transcript.whisperx[117].end 4554.634
transcript.whisperx[117].text 我目前大概這樣第一個因為人行道是共用當然就是說第一點就是把實體人行道做出來所以我們現在有4年4百億的預算我們真的很歡迎各縣市來申請我們就趕快的補助但是我們現在對於比如說螢化族常出入的或學校的這附近這個有一個計畫專門在做這個方面比如說
transcript.whisperx[118].start 4559.436
transcript.whisperx[118].end 4584.997
transcript.whisperx[118].text 我只是想問我們部長有沒有去思考過做區隔這件事情有一點困難因為人行道反正不管你的速度快慢都在那邊走嘛那當然過去我們討論到比如說腳踏車應該分離這個事但是一般來講是整體是公用公用嘛但是在比如說醫院老人家出公用然後畫出來甚至可能會有歧視的問題嘛
transcript.whisperx[119].start 4595.08
transcript.whisperx[119].end 4608.883
transcript.whisperx[119].text 既然我們在人行道有不同的族群在上面使用我們不會要求不同的族群去使用不同的範圍大家都共用那為什麼在我們的道路的規劃上面使用有那麼多的近行機車
transcript.whisperx[120].start 4611.187
transcript.whisperx[120].end 4635.18
transcript.whisperx[120].text 我剛剛委員報告這個問題我已經跟很多人都談過我們經營機車不是比如說歧視機車主或是對他不公平因為在過去的研究裡面當你車種分離的時候是比較安全的因為那剛剛講人行道的部分老人家跟小牌子分開走也比較安全你要不要讓老人家自己走一個通道人跟人之間的
transcript.whisperx[121].start 4636.254
transcript.whisperx[121].end 4655.725
transcript.whisperx[121].text
transcript.whisperx[122].start 4655.905
transcript.whisperx[122].end 4681.075
transcript.whisperx[122].text 如果機車開在外側、騎在外側﹖有很多的公車﹖像新北很多這種公車或是重車﹖這時候只要它超過每小時170輛﹖我們就認為它的內側應該開完給機車走﹖所以不限車道﹖對,我們也有這樣的一個權宜措施﹖並不是叫它完全是分隔﹖指引出來了嗎﹖已經給地方政府了﹖
transcript.whisperx[123].start 4682.415
transcript.whisperx[123].end 4694.947
transcript.whisperx[123].text 就是當我們外側車道的車輛的使用大型車如果一小時170輛以上大型車包括公車或是這個貨車等等還要大型車喔大型對機車的這個比較嚴重是
transcript.whisperx[124].start 4697.95
transcript.whisperx[124].end 4714.058
transcript.whisperx[124].text 因為我們的一直以來地方政府有時候在推動這個交通行情的時候包括機車行駛權益的時候常常會因為我們的道路交通安全規則嘛那第99條的規定那常常會不敢開放
transcript.whisperx[125].start 4715.217
transcript.whisperx[125].end 4731.67
transcript.whisperx[125].text 我們交通部長期來應該也收到許多民間團體的陳情我們這部分有沒有經過有沒有這個做過討論要來把它做適度的放寬我一點都不是說機車你要我現在是從安全來看比如說包括他們在談的兩段式左轉
transcript.whisperx[126].start 4733.252
transcript.whisperx[126].end 4748.747
transcript.whisperx[126].text 在過去研究是比較安全的可是當你這個我剛才談到的重車很多他要兩道式左轉在跑的過程中可能會跟重車有衝突的時候我們是覺得他就是直接左轉所以我意思是說機車我們並不是說完全的車種分離
transcript.whisperx[127].start 4750.208
transcript.whisperx[127].end 4770.473
transcript.whisperx[127].text 但是要看哪一個比較安全所以我們也給地方政府一個指引就是說你去看如果真的是走這個開放機車走內線車道比較安全你就應該開放我們也給這樣的一個指引現在包括像新北啦那個很多很多已經這樣做了是好就是如果說地方政府認為開放內設車道比較安全的話
transcript.whisperx[128].start 4773.466
transcript.whisperx[128].end 4786.06
transcript.whisperx[128].text 可以權宜措施為什麼是原則禁止、例外開放而不是原則開放、例外禁止因為危險禁止嘛對不對合理嘛但是你沒有辦法說他不安全的情況下
transcript.whisperx[129].start 4793.877
transcript.whisperx[129].end 4807.665
transcript.whisperx[129].text 你的意思就是說機車行駛在不同車道它會不安全嗎?所以你去禁止它嗎?我們現在是原則禁止、例外開放嘛對不對?有沒有機會調整成原則開放、例外禁止?因爲你說安全嘛對不對?結果現在要你例外禁止的時候你又提不出理由啊
transcript.whisperx[130].start 4821.232
transcript.whisperx[130].end 4822.413
transcript.whisperx[130].text 因為你們剛剛說機車行駛在這內車車道它是相對危險的啊 對不對
transcript.whisperx[131].start 4841.009
transcript.whisperx[131].end 4859.154
transcript.whisperx[131].text 如果外面齁比如說外車沒有重車的時候我們是覺得車種分離是比較安全的是應該這樣你們認為車種分離那一樣啊那你就可以訂定你們的這個指導原則啊怎樣的情況下是危險的狀況啊我們建議地方政府在某種情況下進行機車啊
transcript.whisperx[132].start 4860.535
transcript.whisperx[132].end 4879.436
transcript.whisperx[132].text 我們給他一個指引是這個重車的這個輛數那我們也給他一個彈性就是說他可以比如說重燃重車沒有到170輛他覺得這個整個路型來看這個就是把責任推給地方政府啊地方政府又要去扛這個責任那個亮爺我跟你報告啊比如說
transcript.whisperx[133].start 4880.497
transcript.whisperx[133].end 4903.413
transcript.whisperx[133].text 每一個選舉的縣市長對於縣市的交通安全他有他想要做的事你知道嗎議員也一樣啊你一樣啊所以我們當然可以禁止啊我們依照標誌標籤的規則我們當然可以禁止啊你認為危險你禁止啊而且這樣齁那個如果我們不因地制宜齁那個type太多了我沒有說不能因地制宜啊我說你認為危險你可以禁止啊但為什麼不是原則開放
transcript.whisperx[134].start 4905.439
transcript.whisperx[134].end 4920.54
transcript.whisperx[134].text 這是我們的政策是沿著你要去限制人民的自由你應該是要另外有絕對的理由你才能去禁止人民的這個通行的自由嘛對不對就是安全對啊所以我說你可以因為安全的理由地方政府去規劃進行機車啊
transcript.whisperx[135].start 4923.154
transcript.whisperx[135].end 4936.746
transcript.whisperx[135].text 你政府不能無緣無故定在一個上位計畫就在怎樣的條件就要禁止應該是要說我們不能夠去限制他們的使用原則上但是如果說我們在規劃的時候認為這樣子危險現況是危險的我們可以來做調整阿
transcript.whisperx[136].start 4941.64
transcript.whisperx[136].end 4946.925
transcript.whisperx[136].text 我們的政策的確是車種分離,現在的政策是這樣,車種分離就是沿著禁止例外開放那就是你們政策錯誤啊,造成還在交通事故零死亡
transcript.whisperx[137].start 4963.081
transcript.whisperx[137].end 4980.99
transcript.whisperx[137].text 每年那麼多人計測在外面發生事故事如果你剛才談的這個政策一變的話能改善我也可以接受但是問題是大家分析不是這樣台北市做了那麼多的分析對不對好沒關係喔時間有限我們進行下一個議題喔
transcript.whisperx[138].start 4982.429
transcript.whisperx[138].end 5005.92
transcript.whisperx[138].text 一樣是行人的權益我們在112年12月5號的時候有頒發剛剛部長有報告道路交通安全法對不對那道路安全法的第一條就很明確的寫以達道路交通事故臨死亡的願景那請教一下部長這個我們這個法頒布之後我們應該是很認真在推動
transcript.whisperx[139].start 5006.9
transcript.whisperx[139].end 5035.055
transcript.whisperx[139].text 那禮拜一我們召開了一個說明會交通違罪不計點且民眾不得計點不得舉發這件事情也是我們道路交通安全法推行的一部分嗎你認為剛剛我們說明會這樣子的一個方向對於我們邁向臨死亡這件事情是有幫助的嗎這個是一個暫時的一個權益措施就是說我道路交通的環境還沒有整人命是有暫時的措施嗎
transcript.whisperx[140].start 5036.26
transcript.whisperx[140].end 5053.368
transcript.whisperx[140].text 你可以說你先去死一死改天再回來嗎可是那個你看到最近剛才包括首爾德在看就是說包括民營院他沒辦法停車造成了祭典人命跟這些東西比較起來孰輕孰重應該很明顯不用去比較吧
transcript.whisperx[141].start 5055.72
transcript.whisperx[141].end 5077.591
transcript.whisperx[141].text 其實現在在交通檢舉的項目已經大幅的限縮一般的紅黃線沒辦法檢舉都是重大的違規才能夠檢舉的所以一般我們職業駕駛遇到的問題其實現在已經不太容易遇到了民眾沒辦法檢舉了嘛那現在會遇到的問題是什麼你停在人行道上面民眾也沒辦法檢舉啊對不對我其他真的不在乎啦你在馬路上有一些行為有時候大家在
transcript.whisperx[142].start 5079.096
transcript.whisperx[142].end 5080.557
transcript.whisperx[142].text 邀請交通部長王國材列席報告業務概況.
transcript.whisperx[143].start 5103.168
transcript.whisperx[143].end 5103.608
transcript.whisperx[143].text 廖委員發言完畢現在請黃建豪委員發言
transcript.whisperx[144].start 5133.571
transcript.whisperx[144].end 5141.036
transcript.whisperx[144].text 好 謝謝昭偉我們事先請部長跟中華電信請王部長還有請中華電信董事長
transcript.whisperx[145].start 5144.583
transcript.whisperx[145].end 5169.24
transcript.whisperx[145].text 委員好我想啊臺灣的這個詐騙問題非常非常的嚴重那我想政府也多次的講說我們要來打擊詐騙但是本席今天質詢的時候要指出一件事情包含稍早的時候我們有開一個記者會中華電信會不會成為這個詐騙的共犯或者是我當然你知道你沒有翻譯啦但是會被這個詐騙集團來利用
transcript.whisperx[146].start 5172.128
transcript.whisperx[146].end 5190.212
transcript.whisperx[146].text 我們講個案子 2021年2月28號的時候有一間這個魔方移動股份有限公司NCC就已經廢止了他所謂的第二類電信事業的全部業務這個時間點是2021年2月8號他就被廢止了但是如果你現在上網搜尋這個魔方移動魔方電信因為這間公司他設置在台中
transcript.whisperx[147].start 5202.253
transcript.whisperx[147].end 5216.931
transcript.whisperx[147].text 我們上網看他的這個網站裡面還有所謂的行動轉售跟加持服務的營業規章他的合作電信業者很擺明的寫的就是寫的中華電信那中華電信裡面這個部分魔方運動的合約裡面也提到
transcript.whisperx[148].start 5218.424
transcript.whisperx[148].end 5232.814
transcript.whisperx[148].text 他的規章裡面他的業務合作的範圍合作的公司就是向中華電信來承租他的行動網路業務經營那租用他的門號跟服務那再向用戶來提供行動轉售跟相關的加值服務簡單來講
transcript.whisperx[149].start 5235.642
transcript.whisperx[149].end 5254.055
transcript.whisperx[149].text 這間魔方移動他是把他的所謂的這個業務範圍建立在中華電信的業務上面然後提供給所謂的詐騙集團提供給很多的使用者來使用他在販賣他的這個門號的時候他會強調保證是全新號碼吃到飽無限制流量
transcript.whisperx[150].start 5254.975
transcript.whisperx[150].end 5280.891
transcript.whisperx[150].text 安全無虞吃到飽跟號碼可以完全的分開追蹤不易號碼保證絕不輪轉兩個月內可以無限的收發驗證碼那獨立的海外系統防止駭客入侵提供三組號碼可以一直來收發簡訊APP所以我常常想包含我自己在內我們常常覺得說為什麼會常常收到什麼標股的簡訊常常收到很多投資的簡訊常常很多的我們的民眾受害者被詐騙集團的欺騙原來
transcript.whisperx[151].start 5282.259
transcript.whisperx[151].end 5289.35
transcript.whisperx[151].text 找到原因了就是因為有很多所謂的二類的業者他是在跟中華電信來使用相關的服務而且
transcript.whisperx[152].start 5290.376
transcript.whisperx[152].end 5317.628
transcript.whisperx[152].text 最嚴重是什麼我要講的是說當然如果今天是合法的商業行為我們沒辦法智慧但是今天提到了這個像剛剛提到這個魔方電信魔方移動公司他在2021年他就早就被NCC廢止的相關的業務了但是他卻還能夠持續的來跟中華電信來合作那包含去年減掉的偵辦還有今年齁今年2024年1月的時候雲林地檢署的起訴文件也都提到
transcript.whisperx[153].start 5318.717
transcript.whisperx[153].end 5347.463
transcript.whisperx[153].text 我發現他是向這個中華電信來申請企業門號跟賣藥門號提供給這個上海族裔公司來使用那當然這過程很複雜但總之就是讓這個上海族裔公司再把這個門號提供給詐騙集團詐騙集團再來詐騙我們台灣的民眾到了今年都還有這樣的事情當然去年還有另外一間叫做這個海峽電信公司也是用同樣的手段來做這件事情所以今天要問的是我想問中華電信還有問我們部長
transcript.whisperx[154].start 5348.803
transcript.whisperx[154].end 5363.288
transcript.whisperx[154].text 如果未來還有相關的業務中華電信要不要負連帶賠償責任以及中華電信你們有沒有去清查過在這個二類電信終止之後有多少公司到現在還跟中華電信有合作關係
transcript.whisperx[155].start 5365.991
transcript.whisperx[155].end 5383.968
transcript.whisperx[155].text 報告委員,有關中華電信跟MVNO業者相關的合作規範都是依照通常會的規範來辦理陳路委員剛才提到前年2021年之後電信法轉軌到電信管理法
transcript.whisperx[156].start 5384.528
transcript.whisperx[156].end 5411.546
transcript.whisperx[156].text 那麼相關的業者在申請轉軌過程當中繼續在向這個通傳會在申請這個執照當中那麼我們目前這個合作的範圍呢並沒有收到任何這個各自外洩的議題那麼剛才委員所提到的這個相關的內容呢據我們目前的了解是並不是中華電信或者是魔方這個銷售出去的
transcript.whisperx[157].start 5411.96
transcript.whisperx[157].end 5426.833
transcript.whisperx[157].text 那相關的細節內容我們﹖你說不是模範移動消息﹖但我也是檢察官這不是我講的這是榆林地檢署2024年也就是今年現在是3月嘛今年1月的時候榆林地檢署的起訴文件他就提到
transcript.whisperx[158].start 5428.034
transcript.whisperx[158].end 5454.677
transcript.whisperx[158].text 檢察官偵辦的這個魔方移動他就是向中華電信申請基業門號當然他最後賣出去他不是用魔方移動來賣他是就轉給所謂台灣左翼跟上海左翼來賣給這個詐騙集團當然導致了詐騙行為這個偵辦過程是因為去查這個電信門號才發現了這一層關係所以當然中華電信沒有直接賣給詐騙集團我知道
transcript.whisperx[159].start 5455.612
transcript.whisperx[159].end 5480.585
transcript.whisperx[159].text 中華電信賣個魔方移動魔方移動再賣個臺灣卓一臺灣卓一再賣個上海卓一上海卓一再賣個詐騙集團他經過了多層所以當然你們沒有直接關係嘛那我今天要問你說今天既然已經知道像這個魔方移動有這樣子的案子出現那他也已經被NCC廢止相關的使用執照中華電信還會繼續跟這樣業者合作嗎未來還會繼續合作嗎中華電信不會跟詐騙集團合作我知道你不會跟他合作啦
transcript.whisperx[160].start 5480.945
transcript.whisperx[160].end 5503.896
transcript.whisperx[160].text 第二個那個剛才提到的議題齁那個中華電信銷售給魔方的門號只能在國外使用那麼這個相關國外使用的剛才您提到那個上海那個個案那個我們的了解是不是魔方銷售出去的那個部分是另外的這個銷售的管道出去的所以你們意思是說你們現在如果魔方連中跟你們買你們還是會賣給他
transcript.whisperx[161].start 5505.202
transcript.whisperx[161].end 5523.917
transcript.whisperx[161].text 那這個部分我們如果這個相關的這個跟業者合作有涉及到任何疑似詐欺的部分我們都會嚴謹來積極處理那謝謝委員指教部長我想這個詐騙不是只有檢調單位的責任我想檢調也常常抱怨說很無力
transcript.whisperx[162].start 5524.417
transcript.whisperx[162].end 5539.766
transcript.whisperx[162].text 每個部會之間好像互相的溝通系統有問題我想今天這是個明顯的案例不然說我們今天中華電信還在強調說當然對你們的立場來講你們覺得你們認為說這個不是魔方魚都賣出的但他一系列這樣操作下來最後回到
transcript.whisperx[163].start 5540.946
transcript.whisperx[163].end 5556.881
transcript.whisperx[163].text 騙到這個臺灣民眾的時候他的源頭就是來自於魔方運動當初跟中華電信成株的這個門號嘛所以才有這樣的結果啊這不是我講的例如說不是那你去找檢調人會說這個不是我想這個檢察官很明顯的起訴文件裡面就已經提到
transcript.whisperx[164].start 5557.341
transcript.whisperx[164].end 5571.079
transcript.whisperx[164].text 模仿移動或類似這種二類電信公司就是跟你們承租承租完之後再轉手賣給其他業者那他去做其他的操作最後再回過頭來詐騙所以我們將強調說相關的法令我們希望中華電信跟交通部這邊應該去研擬起來
transcript.whisperx[165].start 5573.101
transcript.whisperx[165].end 5588.699
transcript.whisperx[165].text 如果已經被廢紙執照了:如果他有相關的案例出現:他就不應該再去做這個這樣子應用:而不是說:對這問題來講我沒差:我賣給魔方運動他沒有騙人:是魔方運動賣給其他公司:其他公司去騙人的:這樣不對啊:我們希望今天做的是源頭控管:
transcript.whisperx[166].start 5589.588
transcript.whisperx[166].end 5589.688
transcript.whisperx[166].text 主席
transcript.whisperx[167].start 5619.668
transcript.whisperx[167].end 5644.091
transcript.whisperx[167].text 你們第一當然我在強調的是模方移動他的確沒有直接的騙人他是把東西賣給別人讓別人來騙那這個行為到底跟中華電信有沒有關係因為你們是這個關國所以我們才特別提出來不能因為中華電信你們掌握的門號數你們掌握的個資比其他電信公司來的更多更直接而且大家可能也信任中華電信所以這部分我們希望還是要提一個完整的方案好
transcript.whisperx[168].start 5644.551
transcript.whisperx[168].end 5673.731
transcript.whisperx[168].text 接下來這個案子先這樣子我們後續再討論接下來我們還提到這個這兩天這個逃機跑到稅休導致航班大亂的問題我們看到說這個排名下降的時候2022年降到67名2023年到82名的時候這個逃機公司當初回應講說未來會積極的相關協調相關業務來共同努力優化經濟從整體服務、零外交通、便利通關等等來改善提升大家的旅客服務的滿意度但是馬上就發生了這兩天的這個事件我想這個
transcript.whisperx[169].start 5675.031
transcript.whisperx[169].end 5693.584
transcript.whisperx[169].text 在交通上面我想這個塔台跟淘氣公司這邊是不是沒有做一個做足這個準備還是維持原來的管制措施從我們收到的資料來看到原定的這個規定當然是120秒放飛一次那因為塞機之後你們才去調整調整成90秒跟60秒放飛有沒有這個事情
transcript.whisperx[170].start 5696.399
transcript.whisperx[170].end 5696.98
transcript.whisperx[170].text 法定人數不足
transcript.whisperx[171].start 5711.21
transcript.whisperx[171].end 5736.147
transcript.whisperx[171].text 當然我只要確認有沒有這個時間而已那原則上呢兩架飛機離場的話離場依規定是120秒那後來有沒有縮到90秒他要看航行所謂的90的話就是說有沒有授權塔台可以90秒60秒這個他是因為航機不一定都是大型機對他可能有大小型機所以如果說你兩個離場的航機的話如果你起飛後能夠立即轉彎
transcript.whisperx[172].start 5737.328
transcript.whisperx[172].end 5752.157
transcript.whisperx[172].text 然後跟後續的離場行進能夠有一個15分鐘時間不夠這個下一頁我們桃園機場的這個做要點面單跑到的時候每小時離到場總價是最大是每小時30價次但是我們根據預報表看到
transcript.whisperx[173].start 5753.378
transcript.whisperx[173].end 5774.827
transcript.whisperx[173].text 3月3日當天有685架次最密集的時候是46架那等於你們的這個航管要點參考用的嘛單跑道本來說只用每小時30架次但是在3月3日當天最大的時間的時候685架最大的這個離場架次達到46架那不就表示說你們這個SOP是參考用而已嗎
transcript.whisperx[174].start 5776.541
transcript.whisperx[174].end 5794.541
transcript.whisperx[174].text 我想這一個所謂的離場航班的一個調整這個部分其實要分開來講就是說如果你這個是例行的稅休其實你在前面需要去考慮到說一個尖峰小時大概剛剛講兩分鐘來算大概是30架單跑道
transcript.whisperx[175].start 5795.162
transcript.whisperx[175].end 5811.766
transcript.whisperx[175].text 議員議員議員
transcript.whisperx[176].start 5812.085
transcript.whisperx[176].end 5834.228
transcript.whisperx[176].text 如果前面沒有做適度的調整宣導後面就是靠流管當場的應變那流管這個應變事實上我們要跟鄰居協調啊這個機制都是協調好那什麼時候去啟動這個流管因為流管的作業是把航機等於說到我們家的要到到場的航機會攔在前一點
transcript.whisperx[177].start 5834.969
transcript.whisperx[177].end 5835.489
transcript.whisperx[177].text 黃委員發言完畢現在請林沛翔委員發言
transcript.whisperx[178].start 5871.645
transcript.whisperx[178].end 5878.356
transcript.whisperx[178].text 主席請王部長上台請王部長另外一張
transcript.whisperx[179].start 5880.883
transcript.whisperx[179].end 5900.4
transcript.whisperx[179].text 王部長,請我在你們這份報告裡面看了洋洋灑灑看了一堆我發覺在67到68年你們對TPAS的這個功能性你們覺得很自豪但是我必須提醒你們看到TPAS的功能性其實實質上是大幅度被削弱的而且削弱得很厲害
transcript.whisperx[180].start 5901.241
transcript.whisperx[180].end 5902.462
transcript.whisperx[180].text 對於公路的運輸是加每個月增加11.5%但實際上其實看不到、看得到、吃不到
transcript.whisperx[181].start 5918.49
transcript.whisperx[181].end 5918.51
transcript.whisperx[181].text 請下頁
transcript.whisperx[182].start 5941.214
transcript.whisperx[182].end 5968.816
transcript.whisperx[182].text 這是昨天晚上在市府轉運站1815等車的狀況當下有超過300人在那邊等車而我本期在那邊從9點半到10點的時候我在那邊等1815這台車是基隆市目前運量第二大的國道公路路線但是那個時候能夠上車的如果我記得我本期沒有記錯的話在150人左右裡面差不多只有50個人能上的了車
transcript.whisperx[183].start 5969.697
transcript.whisperx[183].end 5996.013
transcript.whisperx[183].text 而這個擁捨的狀況非常的嚴重在下一頁在第二個2088是更大的一條是目前基隆市最大的客運路線而2088這條線呢好一點在短短的30分鐘裡面有將近5班車平均每班車有20多個人但是像這樣的狀況是如果說在我本席只是臨時去抽查在昨天晚上9點下一頁
transcript.whisperx[184].start 5999.447
transcript.whisperx[184].end 6019.084
transcript.whisperx[184].text 本期只是臨時去搜查在昨天晚上9點半到10點之間我就看到這樣的狀況的話我想在台北市的每一個大站點我們都會看到同樣的基隆人甚至桃園人遇到同樣的國道客運班次的問題我們等車的時間實質上是越來越長的因為
transcript.whisperx[185].start 6019.784
transcript.whisperx[185].end 6047.363
transcript.whisperx[185].text 有班次不夠因為司機不夠因為國道客運法因為運輸業管理規則其實事實上已經不符合時宜TPAS的成立對於全部的通勤族來講是件好事但是目前來講因為我們準備的資源不管是班次也好司機也好甚至車子也好我聽說我們的這個中央政府要求我們的巴士全面電動化
transcript.whisperx[186].start 6049.665
transcript.whisperx[186].end 6065.809
transcript.whisperx[186].text 但是全面電動化的話目前我知道客運業者跟得上能夠跟得上這進度的人沒幾個啊那你補助又不夠的時候你這樣不是硬生生的逼著業者不得不去違法不得不去趕不上要求嗎這一點來講我認為運輸業管理規則如果要很快速的改變的話運輸業管理規則
transcript.whisperx[187].start 6071.87
transcript.whisperx[187].end 6084.084
transcript.whisperx[187].text 這件事情會是未來在交通委員會在您任內不管下一項520之後您做不到交通部部長這件事情必須要馬上解決這個不關政治這是民生的問題請部長回答
transcript.whisperx[188].start 6086.707
transcript.whisperx[188].end 6107.859
transcript.whisperx[188].text 的確基隆的客運就像委員所提的事實上如果以這樣的看式如果服務都提供的話那個更多人搭乘用T-pass更多人的確現在主要是在司機還有包括在這一次在基隆的國道客運這個首都退出以後他服務品質是比較差的
transcript.whisperx[189].start 6108.579
transcript.whisperx[189].end 6134.21
transcript.whisperx[189].text 所以我們在這段時間也做了很多的改善那其中有一個是司機的課題司機課題在我們公路局等一下局長做一個補充他事實上有幫忙代信司機但是這個腳步的確疫情過後我認為司機的問題是其次而是在於業者是不是能夠合理有效的調度司機的班次我覺得才是我們現在真的要討論的問題
transcript.whisperx[190].start 6135.45
transcript.whisperx[190].end 6163.709
transcript.whisperx[190].text 而這個問題上面國道客運跟一般公車我們上次在總諮詢的時候我們曾經討論過1.4公里1.4塊1公里的補助跟2.3塊1公里的補助基本上這個其實是很不合理的第二件事情就是說讓空車繼續跑讓司機開空車然後造成成本的增加這個對國道客運的業者來講也是很辛苦的所以本席在這邊強力
transcript.whisperx[191].start 6165.831
transcript.whisperx[191].end 6180.633
transcript.whisperx[191].text 強力訴求應該要把雙北化成一個首都生活圈或首都交通圈讓基隆、桃園、宜蘭三邊的國道公車變成所謂的城際公車這樣能夠快速的解決我們現在遇到國道客運的問題
transcript.whisperx[192].start 6183.437
transcript.whisperx[192].end 6187.139
transcript.whisperx[192].text 現在基本上就是一個生活圈,宜蘭基隆雙北
transcript.whisperx[193].start 6212.356
transcript.whisperx[193].end 6227.221
transcript.whisperx[193].text 再來我在1到10頁部長講的在你的這份報告裡面寫最多是1到10頁的公路工程尤其是國道交流道的設置那上次我們在總諮詢的時候
transcript.whisperx[194].start 6228.641
transcript.whisperx[194].end 6250.4
transcript.whisperx[194].text 部長一直提說軌道運輸其實某個程度上是為了都市規劃而設計的但是本席認為公路工程跟我們的國道交流道的設置才是針對國家的區域發展有長足的幫助在我到一到十頁裡面每一個你設置的這個設置的這些交流道裡面高工局都負責設計都跟用地取得工程發包
transcript.whisperx[195].start 6251.201
transcript.whisperx[195].end 6275.941
transcript.whisperx[195].text 然後尤其最好的例子是國道33接66號快速道路國道1號接74號快速道路這方面的事情的話本席在這邊強烈推強烈建議以下幾個幾條路線我認為國道交流道這邊的工程應該延伸到那邊去第一個在基隆市安樂區國家新城地區目前那邊只有不到0.9平方公里就有15000人住在那個區域
transcript.whisperx[196].start 6277.282
transcript.whisperx[196].end 6302.316
transcript.whisperx[196].text 而一萬五千元區域之外還加一個貨櫃場在那0.9平方公里裡面而只有一條兩線道的道路要開差不多將近1.5公里才能接上國道那這件事情其實我造成說安樂區我目前最大的選區造成常態性的大塞車天天早上都在塞車我認為這樣的困境應該需要交通部來幫忙這是第一個第二個
transcript.whisperx[197].start 6303.41
transcript.whisperx[197].end 6319.201
transcript.whisperx[197].text 每週末我們都知道說往金山萬里都有大量的觀光客在塞車那這個問題已經不是單單純基隆市的問題包括新北的問題也常浮現而我也知道說這條高速公路為什麼會塞車主要原因是經過
transcript.whisperx[198].start 6321.583
transcript.whisperx[198].end 6337.852
transcript.whisperx[198].text 國道3號基金交流道而基金交流道那邊要直接到金山萬里必須經過整個大武倫地區而大武倫地區嚴格講起來那邊住住有3萬人住在那邊而最主要的是國道3號並沒有一個往西向的交流道引道
transcript.whisperx[199].start 6338.892
transcript.whisperx[199].end 6365.416
transcript.whisperx[199].text 我們如果部長還是我們的高工局的主管開過條路的時候你會發現說國道3號有到62號往東向也就是往瑞芳甚至九份方向去跑的交流道但是並沒有往西向但是本席在這邊強烈建議與其你們再重新開一條高速公路直達萬里金山倒不如好好去想一想國道3號怎麼樣去連接往西向的交流道
transcript.whisperx[200].start 6366.384
transcript.whisperx[200].end 6394.374
transcript.whisperx[200].text 委員我能不能簡單說明一下那個國家新城的話印象中的話他是西邊是隔一個新山水庫才到國道3號所以要做可信性評估阿他應該是做一條聯絡道路看看這聯絡道路怎麼處理我先把我這邊的訴求先講清楚因為這個是工層面我認為我們如果在在工層面在不影響水庫安全的情況下我們都是可以克服的他距離國道還有1公里多
transcript.whisperx[201].start 6395.154
transcript.whisperx[201].end 6397.916
transcript.whisperx[201].text 國道1號在於苗栗市玉清大橋這邊其實應該設一個交流道連接72號來幫助苗栗的苗中地區的經濟發展
transcript.whisperx[202].start 6411.387
transcript.whisperx[202].end 6423.456
transcript.whisperx[202].text 這個部分以前有討論過他有高低差的問題而且那地方是崩潑曾經有癱滑過所以目前來講說那個山齁是不是我覺得可行性評估我覺得以前有處理過那請給我資料第4個我在第4頁第7項的時候我有看到國道1號
transcript.whisperx[203].start 6430.36
transcript.whisperx[203].end 6446.099
transcript.whisperx[203].text 無篤交流道到矽脂交流道有投函計畫但是我們目前本席要求會後你要給我詳細的書面資料然後我之後我要再從這邊再去做質詢而最後一點我是目前我想請問一下因為本席以前曾經在港務公司任職過
transcript.whisperx[204].start 6447.04
transcript.whisperx[204].end 6475.222
transcript.whisperx[204].text 在高雄的旅運中心當初是認為這個建造的經費是比基隆的旅運中心來得高很多的我記得如果沒有錯話高達20億以上那請問一下基隆港現在的旅運中心進度怎麼樣因為部長您也講過捷運到基隆捷運一定到我有生之年捷運一定到基隆市區但是如果以當初的計畫沒有錯話捷運到基隆市區的最後一站是基隆港的旅運中心那我想請教目前進度是怎麼樣
transcript.whisperx[205].start 6475.742
transcript.whisperx[205].end 6476.543
transcript.whisperx[205].text 當時的話在99年的話是有一個規劃旅運大樓
transcript.whisperx[206].start 6497.606
transcript.whisperx[206].end 6499.09
transcript.whisperx[206].text 那請問西六碼頭現在空在那邊做什麼?
transcript.whisperx[207].start 6507.401
transcript.whisperx[207].end 6516.388
transcript.whisperx[207].text 那個計畫在103年的時候因為西岸會展旅運智慧大樓那同時之間也是基隆捷運最後一站那我想請問交通部
transcript.whisperx[208].start 6532.172
transcript.whisperx[208].end 6558.43
transcript.whisperx[208].text 目前的規劃是什麼?現在這樣啦,旅運大樓現在西岸就是西2、西3嘛那個就是你們所謂的旅運大樓那你講的在西3碼頭那個他們現在還在準備花包現在西6的話,西6的部分的話就是我們有這跟當初國際標那個建築物差太多了吧當初開國際標還是那時候還是被國際認為說是優良建築物所以現在變成是什麼都不是的倉庫
transcript.whisperx[209].start 6560.213
transcript.whisperx[209].end 6580.208
transcript.whisperx[209].text 他是最主要是涉及那個那下面有有有所謂捷運的規劃嗎文資的問題延伸線會有延伸線如果我從八堵進來以後我們當時的端點的那個地方怎麼進來就是進到進來以後就直接到你講的西當時的規劃了到西六啊西六就是跟這個林大樓這個
transcript.whisperx[210].start 6581.169
transcript.whisperx[210].end 6599.194
transcript.whisperx[210].text 所以延續總實習我希望交通部可以主動負責起第二階段的基礎決定規劃應該這麼說西岸的李映大樓現在我們算完工就是這個有了報告那西六就是後續再來處理這樣好 林委員發言完畢林委員所
transcript.whisperx[211].start 6600.574
transcript.whisperx[211].end 6611.82
transcript.whisperx[211].text 質詢的問題請港務公司再次跟林委員來做說明現在我們在陳素悅委員發言完畢之後要休息10分鐘來現在請陳素悅委員發言謝謝主席請主席邀請王部長還有陶基公司楊董事長陶基公司楊董事長
transcript.whisperx[212].start 6626.51
transcript.whisperx[212].end 6656.51
transcript.whisperx[212].text 陳偉
transcript.whisperx[213].start 6657.191
transcript.whisperx[213].end 6664.046
transcript.whisperx[213].text 不是第一次嘛,這應該是屬於常態性的工作過去都很短啦,有的是半天,這一次因為範圍比較大
transcript.whisperx[214].start 6665.798
transcript.whisperx[214].end 6684.626
transcript.whisperx[214].text 所以時間比較長對,所以就是說這個是一個常態性的工作那為什麼以前不會發生這種塞機的狀況那這一次為什麼發生這樣子的起降大亂嚴重的塞機所以我們要去好好的檢討到底是什麼原因造成的那剛剛部長說是因為這個範圍比較廣
transcript.whisperx[215].start 6690.53
transcript.whisperx[215].end 6710.207
transcript.whisperx[215].text 應該說廣,時間變比較長但是我覺得最大原因應該是在通知的時間比較短所以包括航空公司跟民眾不知道這個狀況所以我們現在的想法是所以這個通知是屬於行政作業嘛對那這就有涉及到這都島是不是我們的這個都島不周的這個狀況
transcript.whisperx[216].start 6712.216
transcript.whisperx[216].end 6737.063
transcript.whisperx[216].text 是那個第一個當然是通知所以大家在因應比如說航空公司在他的航班的調整這個沒辦法到位那第二個我是覺得在航管方面航管未來在事實上剛才在談一個就是說進入我們飛行情報區之前要做管制不要說一定飛到我們空中在那邊盤選對因為我覺得這種狀況真的是蠻嚴重的因為這個也涉及到飛安的一個這個
transcript.whisperx[217].start 6739.784
transcript.whisperx[217].end 6741.145
transcript.whisperx[217].text 我們有考慮研究賠償的問題嗎?有
transcript.whisperx[218].start 6770.929
transcript.whisperx[218].end 6799.12
transcript.whisperx[218].text 是不是容我來做一個補充報告首先謝謝委員的指教那這一次的稅修會有這樣的一個情況是過去我們在稅修工程的經驗裡面有一些盲點沒有去處理好那除包括剛剛提到的相關單位的通告、通知在前次會議的過程當中都有邀請但是在執行之前沒有再一次做的確認另外還有一個問題就是我們過去的飛航通告是依據民進黨法規的一個國際的要求
transcript.whisperx[219].start 6799.68
transcript.whisperx[219].end 6816.429
transcript.whisperx[219].text 在90天之內要公告但是我們現在欠缺的是對我們國內的旅客或者國際的旅客還有包括航空公司的配合的調度措施對旅客的部分讓他們及早做準備所以這些整個系統性的檢討這一兩天我們已經積極的在進行當中
transcript.whisperx[220].start 6818.69
transcript.whisperx[220].end 6842.227
transcript.whisperx[220].text 公司內部的部分我們已經在昨天跟前天做檢討下個禮拜我們會邀請其他系統性跟這種案子有關的相關單位包括民航局、波瓦航空公司等等在進一步檢討會提出一個詳細的檢討報告那也藉這個機會再向我們的社會大眾非常鄭重的道歉基層公司這一次系統性的整合沒有做好的地方我們會積極的改進謝謝
transcript.whisperx[221].start 6844.548
transcript.whisperx[221].end 6861.813
transcript.whisperx[221].text 謝謝楊董事長那我再請教一下部長因為這樣子的一個風波也導致外界批評說我們在逃機人士上的一個安排好像是有酬庸的這種狀況那這部分是不是可以請部長回覆一下
transcript.whisperx[222].start 6862.835
transcript.whisperx[222].end 6877.346
transcript.whisperx[222].text 事實上第一個他們談這個楊董事長因為楊董事長本人土木水利那您知道而且是以前過去是台電的董事長那過去這個淘機電跟水是裡面很重要的一部分基礎設施
transcript.whisperx[223].start 6878.627
transcript.whisperx[223].end 6905.264
transcript.whisperx[223].text 然後我們現在還在做三行下三跑道的建設所以事實上就是當台階董事長不是只有什麼學交通的要因應當時比如現在是以建設為主基礎設施的強韌為主所以當時這個大家有幾個人選最後選到楊董事長是這樣那另外有談到說是不是有特定比如說誰來推薦誰我昨天有跟這個董事長有討論過沒有認
transcript.whisperx[224].start 6907.145
transcript.whisperx[224].end 6926.596
transcript.whisperx[224].text 沒有這個所指的比如說副院長去交代人事這個事情他們是按照他的徵選程序那因為他進來的人也不是很高層級的如果你高層級可能要跟院討論所以這個部分是這個陶吉本儀他的徵選的這個公告以後所選出來的人大概是這樣
transcript.whisperx[225].start 6928.022
transcript.whisperx[225].end 6949.998
transcript.whisperx[225].text 我們當然也願意選擇相信部長的說法因為我們也知道桃園機場這幾年來很重要的一項工作就是第三航廈還有這個第三跑道的一個興建工程那這個都是非常重大的工程那在第三航廈的這個整個發包過程真的也是延誤很久我們也期待就是說能夠藉由專業人才來擔任這個職務能夠讓這個工程能夠順利不過發生了這個風波當然就會
transcript.whisperx[226].start 6957.684
transcript.whisperx[226].end 6984.646
transcript.whisperx[226].text 讓外界對我們這個逃機的人士的能力會有一些大打折扣我們也希望是不是請楊董事長還有我們相關的總經理等等要將功贖罪是不是之後要積極的有所作為包括這個就是整個機場的運作或者是工程的一個進度等等我們都應該擔起更大的一個責任是不是請董事長說明一下
transcript.whisperx[227].start 6985.126
transcript.whisperx[227].end 7000.235
transcript.whisperx[227].text 非常謝謝委員的勉勵事實上這一次的事件讓我們痛定思痛那這兩天我跟總經理也不斷的在主持我們內部的檢討會把所有可能要改進的地方必須要逐一的挑出來那一個重點的結論就是我們要把過去的做法打掉重練
transcript.whisperx[228].start 7001.67
transcript.whisperx[228].end 7028.837
transcript.whisperx[228].text 包括標準作業程序因為現在的旅客運量的增加的這個狀況還有我們現在機場正在進行第三航廈等等這些工程建設的過程我們必須要更謹慎那以後有稅修工程我們會有一個標準的SOP之外會以專案的方式成立應變小組從頭到尾從開始做計畫之前就開始成立所以這個案子讓我們會有一個新的一個出發我們希望以後不再發生這樣的一個情況謝謝
transcript.whisperx[229].start 7030.918
transcript.whisperx[229].end 7055.359
transcript.whisperx[229].text 謝謝楊董事長接下來我來請教一下有關道路安全的問題楊董事長先請回我想道路安全關係著我們所有國人的生命安全非常重要的一個問題可是最近我發現說我們交通部的相關單位在進行道路改善安全的工程之後沒有更安全反而更危險
transcript.whisperx[230].start 7056.64
transcript.whisperx[230].end 7082.739
transcript.whisperx[230].text 因為以我的選區就是最近在過年前到現在就是在台一線有這個路口改善的一個部分結果就是針對這個在田尾民生路口這個路口改善之後到現在就發生了至少5件的這個自小客車或者是大貨車去撞中央安全島的這個車禍事故所以針對這部分部長你怎麼看
transcript.whisperx[231].start 7084.439
transcript.whisperx[231].end 7112.828
transcript.whisperx[231].text 我想在很多道路工程的確在我們現在有一個是省道一個是地方道路地方道路我在應該上個禮拜已經請我們的一個鋰鋼參事組成一個專案小組對於省道的這個交通工程的部分包括人形設施那過去省道人形設施做很少因為過去都是比較郊外可是現在或者省道的旁邊有很多發展的地區包括人形也要使用
transcript.whisperx[232].start 7113.408
transcript.whisperx[232].end 7129.389
transcript.whisperx[232].text 所以我已經請一個專案來看全國的包括專家學者協助公路局來做這個檢討我想說這個部分本身的警示的設備不足容易撞到我想這部分他們在交通工程必須做改善
transcript.whisperx[233].start 7130.789
transcript.whisperx[233].end 7155.589
transcript.whisperx[233].text 我目前就是秀的這個路口其實只是其中一個路口其實在這個台線在往北的下一個路口同樣有類似的狀況就是說我們在要改善了這個左轉車道的時候我們就把這個左轉的燈號先取消了可是我們的內縮的工程卻還沒有做所以我
transcript.whisperx[234].start 7156.89
transcript.whisperx[234].end 7179.152
transcript.whisperx[234].text 針對這一點我是要提醒我們交通部就是說我們在進行相關的道路改善工程的時候我們應該要一次到位不能說只先做一半先做半套結果這樣子剩下那一半那你在這個過程當中你就導致了很多的這個意外事故的一個發生我覺得這個責任我到底要誰來擔
transcript.whisperx[235].start 7180.662
transcript.whisperx[235].end 7180.943
transcript.whisperx[235].text 委員會主席
transcript.whisperx[236].start 7197.123
transcript.whisperx[236].end 7224.635
transcript.whisperx[236].text 交通工程部門會有一些這個建議然後我請他們這個局長也知道他們要繼續來處理是還是跟委員報告一下就是說相關的因為道路的這個像幾個路口其實大概就是上下游的車道他們有對齊然後有些要增加左轉的專用道可是對齊就是比如說增加了以後就是說那個車道前進的時候就是說他可能要還要再多畫一些行車導引線或警示的
transcript.whisperx[237].start 7225.175
transcript.whisperx[237].end 7251.832
transcript.whisperx[237].text 讓大家不要不會說往前走就跟那個分隔島比較近撞到那為現在其實在相關的改善的部分其實包括我們自己的工程單位還協同地方的交通跟警察一起做那未來我們要增加更多的比如說像交通工程祭司有些部分其實大家可能在會刊以後大家決定可是還是有一些疏漏的地方那我們希望把這一塊能夠再補強那也部長也指示我們有專案小組會全面來檢視
transcript.whisperx[238].start 7253.334
transcript.whisperx[238].end 7274.075
transcript.whisperx[238].text 希望我們在做先問的道路改善工程的時候我們要速度要快而且要更周全那接下來最後一件我想關心一下就是在2月底的時候就是彰化縣深港建國路口跟美港路口這邊發生了一件真的是備受矚目而且令人非常遺憾的車禍事故
transcript.whisperx[239].start 7275.596
transcript.whisperx[239].end 7299.939
transcript.whisperx[239].text 那造成就是三個姊弟就是被撞那目前兩個姊妹還在這個交互併訪所以有關這個重大一個車禍事故地方的鄉親他們都認為說我們有關相關的這個美港公路高價化應該要盡速來推動跟完成所以是不是可以請部長簡單說明一下這個目前的進度如何
transcript.whisperx[240].start 7300.655
transcript.whisperx[240].end 7328.351
transcript.whisperx[240].text 工務現在應該是送到國安會再審查那我們希望說趕快確定另外就這個入口來看就是說雖然這一次的原因不見得是這個工程的課題但是我覺得他畫得不好就是說這種形狀這麼長第一個沒有屁股島第二個應該是在找最短退縮做找一個最短的地方來讓他通行我也要求這個工務局在一個月內把它做一個
transcript.whisperx[241].start 7331.213
transcript.whisperx[241].end 7351.25
transcript.whisperx[241].text 短期內先做現場的改善嗎?是,跟委員報告已經就是說做會刊而且找了專家學者那會刊完畢了那第一階段的改善的部分就是說這個斜交的行川線我們會改成Z字型的這一個行川線那這個讓行人通行更安全也有庇護到那這個一個月內會完成那另外
transcript.whisperx[242].start 7351.65
transcript.whisperx[242].end 7351.67
transcript.whisperx[242].text 謝謝部長
transcript.whisperx[243].start 7365.545
transcript.whisperx[243].end 7391.376
transcript.whisperx[243].text 陳委員發言完畢在此先做宣告本日由委員提出臨時提案以本會王力在登記質詢的本會委員發言告一段落後處理那稍後我們會在徐富奎委員巡打完畢之後隨即處理臨時提案請各黨團助理通知提案的提案人好現在休息
transcript.whisperx[244].start 8105.004
transcript.whisperx[244].end 8109.109
transcript.whisperx[244].text 現在繼續開會現在請何欣淳委員發言謝謝主席我們李坤澤召位那我們是不是請我們部長還有陶基的董事長總經理請王部長、請楊董事長
transcript.whisperx[245].start 8128.826
transcript.whisperx[245].end 8152.935
transcript.whisperx[245].text 何委員長我想今天我們討論的還是就制度性的問題我想3月3日的這個逃機的機場跑道的稅休那造成很多民眾的不便國內外旅客都受到影響我剛剛看到很多其他的委員也在關心這一件事你看我這一頁我把你們那個
transcript.whisperx[246].start 8154.276
transcript.whisperx[246].end 8155.739
transcript.whisperx[246].text 擊上可能會呈現的這個航空圖我覺得是真的是覺得會
transcript.whisperx[247].start 8161.358
transcript.whisperx[247].end 8173.805
transcript.whisperx[247].text 難怪謝金河說我們的國際機場真的是以笑大方趕不上其他國際大城市的一個機場我們那一天你看天空盤旋好幾圈的滑行道變大型停機場我看那個圖上一台飛機在上面已經繞了幾圈1、2、3、4、5、6、6圈了我們這個滑行道那個跑道上在等著要飛的這個飛機真的叫做什麼塞車、塞機
transcript.whisperx[248].start 8190.275
transcript.whisperx[248].end 8204.244
transcript.whisperx[248].text 天空也塞地面也塞可是我要跟部長講喔地面塞的不是只有塞飛機是機場裡面可能塞了滿滿的人還有那什麼接送的車輛衍生出來的交通問題
transcript.whisperx[249].start 8206.587
transcript.whisperx[249].end 8217.77
transcript.whisperx[249].text 謝金河先生只是其中的一個乘客他說他等著要起飛他已經睡了一切以為已經到了泰國國際機場結果原來還在桃園國際機場這真的是很離譜而且這影響是什麼國際觀光客對台灣的印象
transcript.whisperx[250].start 8228.032
transcript.whisperx[250].end 8232.714
transcript.whisperx[250].text 這個觀感讓人家覺得非常非常的納悶怎麼一個台灣號稱這麼先進的一個科技國家我們還常常說我們是有台積電半導體這個世界最強的在台灣結果呢我們的一個國際機場竟然是讓國內外的乘客坐在飛機上都不知道該怎麼辦在天空等著在地面等著通通都不知道到底發生了什麼問題
transcript.whisperx[251].start 8255.718
transcript.whisperx[251].end 8280.953
transcript.whisperx[251].text 這件事情真的是很大的一件事情部長我相信因為聽說當天你知道了之後你一身震怒馬上就可以開始恢復稍微比較正常那我又想了一件事為什麼你沒有震怒之前是放得這樣子擺爛的樣子你的一句話震怒然後馬上就可以解決這個就是問題之所在來接下一張
transcript.whisperx[252].start 8282.898
transcript.whisperx[252].end 8293.371
transcript.whisperx[252].text 我還記得我們去年交通委員會我還去考察考察過淘機我那時候還提醒其他的委員也提醒
transcript.whisperx[253].start 8294.454
transcript.whisperx[253].end 8313.989
transcript.whisperx[253].text 我們趁著疫情期間航班少機場沒有開放的情況之下應該要好好準備因為去年4月的時候國外的機場已經解封臺灣雖然比較慢但是也已經準備待發大概預期已經快要
transcript.whisperx[254].start 8315.322
transcript.whisperx[254].end 8315.482
transcript.whisperx[254].text 來下一張
transcript.whisperx[255].start 8338.959
transcript.whisperx[255].end 8346.636
transcript.whisperx[255].text 我們也知道陶基你也早就告訴我們的一後復甦從去年到今年尤其今年運量越來越達高峰
transcript.whisperx[256].start 8347.796
transcript.whisperx[256].end 8368.808
transcript.whisperx[256].text 你還提醒旅客要提早3個小時報到就表示說上看了百萬人次就知道機場捷運的運量真的已經是很涌射而且運量很高那在這些因素之下來這下一張我們淘機過往也有也有這個跑道維修
transcript.whisperx[257].start 8370.748
transcript.whisperx[257].end 8380.697
transcript.whisperx[257].text 我要提醒你在疫情期間跑到維修的程度是怎麼樣那疫情中間我們又提醒你跑到要準備那現在呢跑到稅休發生了問題
transcript.whisperx[258].start 8387.694
transcript.whisperx[258].end 8412.731
transcript.whisperx[258].text 我就覺得很奇怪以前都沒有那麼塞機嚴重那現在為什麼我們一再提醒而且我們也說在疫情期間有準備了怎麼會這一次塞機這麼嚴重我給部長一個機會你們檢討了怎樣就是這個原因非常的我是覺得最重要一點是整個淘氣這一次的警覺心跟重視度不夠
transcript.whisperx[259].start 8414.241
transcript.whisperx[259].end 8431.393
transcript.whisperx[259].text 市長,所以這個就是問題嘛,什麼叫做警覺心跟重視度不夠因為我已經剛剛跟你講了嘛,所有的因素都是可預期的那以前疫情之前,跑到維修、睡休也是有過經驗,不是沒經驗而已啦
transcript.whisperx[260].start 8433.305
transcript.whisperx[260].end 8461.744
transcript.whisperx[260].text 他那個直接過去過去在這個跑道的稅修時間比較短這次他的這維修應該有18處是吧18處16處16處那我們不是提醒過你嗎疫情期間就已經在準備了啊我覺得這都不是理由就是說在困難的地方也應該在預先的準備我想這部分這個董事長總經理他們也做過這個很多的這個討論我想說剛才也提到
transcript.whisperx[261].start 8462.344
transcript.whisperx[261].end 8488.801
transcript.whisperx[261].text 部長你講到這個討論喔你們事實上在做這個跑道稅修之前都已經開過好幾次協調會都有做過好幾次討論那為什麼之前有討論現在發生問題你們那時候討論你知道我跟你們要的資料欸你們開了三次會議欸你們要的飛航管制單位、航空公司代表、航空公司業者機務聯誼會、機師、地勤等等
transcript.whisperx[262].start 8492.25
transcript.whisperx[262].end 8502.559
transcript.whisperx[262].text 就是沒有沒有什麼機場最重要的人叫做消費者雖然你會跟我說消費者代表很難找
transcript.whisperx[263].start 8504.114
transcript.whisperx[263].end 8522.299
transcript.whisperx[263].text 總是有旅行社吧總是有觀光團吧總是有一些可以有依據的吧總是可以從客戶端去思考他會受到的影響在哪裡嘛而且你們也沒有對外公告喔你對外公告是給機場內部的相關的
transcript.whisperx[264].start 8523.519
transcript.whisperx[264].end 8540.447
transcript.whisperx[264].text 公告而已喔你對外並沒有讓國人知道說我這幾天跑到稅休我可能會影響到什麼什麼可能呢會delay到什麼什麼什麼那我們有什麼因應措施我們有什麼配套措施完全資質都沒有這符合邏輯嗎部長對
transcript.whisperx[265].start 8544.068
transcript.whisperx[265].end 8546.15
transcript.whisperx[265].text 這個就重點營運兩個字營運的單位不能只有自己的立場營運不是就是對外要有
transcript.whisperx[266].start 8565.179
transcript.whisperx[266].end 8591.516
transcript.whisperx[266].text 因為你營運嘛,你要營利嘛,所以你有客戶,你有消費者嘛而且是我們台灣的一個國際機場嘛,而且是起降跟落地最頻繁的一個國際機場啊對,這個就是我們檢討的地方啊,就是對營運者的這個討論然後在2月20日要發這個非常公告,但是消費者完全不知道完全不知道
transcript.whisperx[267].start 8592.332
transcript.whisperx[267].end 8615.299
transcript.whisperx[267].text 那第二個我是覺得他的會員公告2月21號然後到3月3號就進場了時間太短了因為你會員公告一下去以後包括航空公司在各地的飛機還有班次的安排那個都會來不及所以我是覺得有一點而且你們這個事前從去年的9月就開始內部討論規劃
transcript.whisperx[268].start 8617.421
transcript.whisperx[268].end 8636.789
transcript.whisperx[268].text 我現在這是你們給我的資料喔所以他應該早一點通知比如說在去年應該最晚年底以前就要開始把這個會案公告把它傳出來因為來回到商業你們早知道這一天這幾天我剛剛有其他的委員講有698個班次要起降那還有你們自己還有一個預報系統欸
transcript.whisperx[269].start 8642.091
transcript.whisperx[269].end 8659.701
transcript.whisperx[269].text 那你們本來的雙跑道預計多少?平常是多少?單跑道預計可以多少?這些都是可以預期的因素喔?像這個就是一個最大問題,就是當天維修又允許690班起降,這個是問題那你們之前的協調會到底在開什麼?有什麼作用?
transcript.whisperx[270].start 8664.588
transcript.whisperx[270].end 8678.807
transcript.whisperx[270].text 就是我覺得他們這個在整個這個部分比如說理論上不應該當天有698班應該在航空公司都做一些調配的進台夜少而且那提早、正早就像部長你講的
transcript.whisperx[271].start 8680.108
transcript.whisperx[271].end 8703.26
transcript.whisperx[271].text 我們在淘機的航空公司不管國內國外有非常非常多如果說要提早協調的話要告訴航空公司讓他們能夠因應而且呢他會牽涉到的是航空公司還必須對他們的消費者權益做交代做因應做配套這是連環的一個
transcript.whisperx[272].start 8704.581
transcript.whisperx[272].end 8724.188
transcript.whisperx[272].text 產生了效應那我們就必須要幫忙想時間點那要提到多少那如果如果我們沒有做到這一件事的時候那就是像部長你講的我們允許了698的班次在那一天起降我們港溫泉我們就要付這個嗎我們什麼配套都沒有做欸我們什麼配套都沒公告欸
transcript.whisperx[273].start 8734.486
transcript.whisperx[273].end 8761.897
transcript.whisperx[273].text 那影響到旅客的權益怎麼辦部長?你們現在除了有檢討我們以後要調整SOP你們兩個問題嘛第一個你們要調整SOP未來的SOP怎麼調整?你們檢討出來現在怎麼樣?第二個那旅客權益在這一次受到受損那該怎麼辦?因為你們下半年度還有北跑道的稅休喔
transcript.whisperx[274].start 8764.433
transcript.whisperx[274].end 8780.092
transcript.whisperx[274].text 第一個通告應該是我們現在是要求他3個月前就要通告了然後航空公司開始來調班機比如說有些就不要當天來起降
transcript.whisperx[275].start 8780.993
transcript.whisperx[275].end 8803.114
transcript.whisperx[275].text 然後第二個有關於李克權先由航空公司因為他們還是這個福海航空公司收集意見以後我請陶基開一個會議看大家的這個影響的一個狀況再來處理所以我想就由他這航空先收集一些這些相關的消費者的聲音以後我們再來看後續怎麼處理
transcript.whisperx[276].start 8804.507
transcript.whisperx[276].end 8806.169
transcript.whisperx[276].text 下半年的維修我們目前正在做整個系統性的檢討
transcript.whisperx[277].start 8821.809
transcript.whisperx[277].end 8848.363
transcript.whisperx[277].text 那系統性的檢討改善措施還沒有出來之前我們下半年的維修計畫會等整個檢討完以後新的制度開始執行才來訂我們的這個下半年維修計畫這種事情不要再發生是好不好我們趕快調整趕快因應配套該公布的要趕快提前公布這個不是只有台灣的這個國際形象這也牽涉到國內外觀光客所有旅客的權益好
transcript.whisperx[278].start 8849.783
transcript.whisperx[278].end 8850.083
transcript.whisperx[278].text 合委員發言完畢
transcript.whisperx[279].start 8876.739
transcript.whisperx[279].end 8902.58
transcript.whisperx[279].text 現在請林俊憲委員發言好,謝謝主席本期邀請我們交通部王部長請王部長還有龔總龔總、陳局長
transcript.whisperx[280].start 8909.477
transcript.whisperx[280].end 8933.243
transcript.whisperx[280].text 部長好部長你知不知道發生在我們台南市安南區有4家貨運公司車行那車行把他們的車子靠行的車子拿去貸款就是拿去冒貸200多部車子每一台車子都至少貸款了300多萬所以
transcript.whisperx[281].start 8934.73
transcript.whisperx[281].end 8938.133
transcript.whisperx[281].text 因為我們要成立貨運公司的門檻非常高等於是我們政策逼這些車主不得不靠行
transcript.whisperx[282].start 8958.055
transcript.whisperx[282].end 8975.264
transcript.whisperx[282].text 因為你設立一家貨運公司資本額大概要六千萬而且你還要有幾十部的車子你才有資格成立一個車行那現在這些車主去靠行車行把車子拿去冒貸
transcript.whisperx[283].start 8976.638
transcript.whisperx[283].end 9005.912
transcript.whisperx[283].text 更慘的是這不是第一次啊你知道2018年就發生過部長你知道嗎2018年你們兩位都在交通部嘛2018年就發生所以當時啊我們幾位委員就有提案就是你車行現在車主車子在你車行裡面你拿去貸款啊那政府應該要有一定的節制啊也就是說你必須要讓車主知道啊
transcript.whisperx[284].start 9007.981
transcript.whisperx[284].end 9024.265
transcript.whisperx[284].text 部長你看到當時的提案沒有當時就發生過這個案例那立委也提案請交通部公總這邊要有這種交易的預告登記的精神結果又發生再次發生這樣的一個慘劇部長你知不知道這種事情
transcript.whisperx[285].start 9028.285
transcript.whisperx[285].end 9046.715
transcript.whisperx[285].text 234輛
transcript.whisperx[286].start 9048.996
transcript.whisperx[286].end 9052.138
transcript.whisperx[286].text 對,這一次是80幾輛,貸款1億多嘛對,貸款車輛現在掌握住我講的2018年那個案例是234輛,帶走了5億多嘛
transcript.whisperx[287].start 9060.491
transcript.whisperx[287].end 9083.969
transcript.whisperx[287].text 對,跟委員報告2018年那時候你先回答如果你制度不改這種事情會不會再發生制度要再檢討你要怎麼改上次跟委員報告上次的時候制度檢討是因為說2018年發生過為什麼這次會再發生因為你2018年以後你那個SOP你根本沒有落實沒有調整部長你看一下
transcript.whisperx[288].start 9085.63
transcript.whisperx[288].end 9098.259
transcript.whisperx[288].text 2018er 2018年發生的案子 然後我們在交通委員會提案 那工種就把它改成了 因為車行你要去貸款 你必須做動產的擔保設定 所以就必須向監理機關來辦理 然後呢 工種的調整是監理所再把資料轉給當地的工會 那工會再聯絡車主 聯絡車上所有人
transcript.whisperx[289].start 9112.13
transcript.whisperx[289].end 9112.911
transcript.whisperx[289].text 公會公會公會公會
transcript.whisperx[290].start 9130.931
transcript.whisperx[290].end 9131.872
transcript.whisperx[290].text 我跟你說你這個不改會再發生是是是
transcript.whisperx[291].start 9157.21
transcript.whisperx[291].end 9165.118
transcript.whisperx[291].text 因為擔保設定到建立站辦完建立站的責任多輕鬆啊轉資工會就好了就沒你的事情了
transcript.whisperx[292].start 9166.141
transcript.whisperx[292].end 9189.573
transcript.whisperx[292].text 叫你說我們是應該要跟車主說嘛 對不對所以跟委員報告他又可不可以改為直接聯繫車主你要讓車主知道嘛要啊所以就是那你現在要不要改要就是整個的註記的部分也就是說靠行的這個資料的話我們自己要掌握我不要說完全就是今天有臨時提案我就是要求你要改這個你要讓車主知道
transcript.whisperx[293].start 9190.609
transcript.whisperx[293].end 9217.48
transcript.whisperx[293].text 要不然這樣的慘劇一定會再發生你知道設立一家貨運公司的門檻有多高嗎?它必須要有2500萬的資本額啦要有20輛以上的全新貨車啦所以幾乎一般車主都是要靠航你政府的規定等於逼迫車主非靠航不可那麼其實你就有責任應該去保護這些車主而且當然
transcript.whisperx[294].start 9219.219
transcript.whisperx[294].end 9246.762
transcript.whisperx[294].text 擔保設定為什麼到監理站來就是你政府要有一個一定的監理機制嘛沒必要你政府這樣跟你說要幹什麼他就直接找人就好了就是擔心會有發生這樣的弊啊你照常發生2018年也是現在又發生了你先給我查2018年到現在這5年來一共發生多少次貿貸事件我再查相關的資料不會中間隔5年就中間不知道發生多少件我跟你們要資料也拿不出來不敢給我
transcript.whisperx[295].start 9248.035
transcript.whisperx[295].end 9271.941
transcript.whisperx[295].text 趕快去把這個程序給改掉不然以後不知道還有多少車子會受害那我們請那個陶菊公司陶菊公司這次跑道工程造成班機延誤的事件也是一樣因為2015年也發生過
transcript.whisperx[296].start 9275.167
transcript.whisperx[296].end 9300.269
transcript.whisperx[296].text 2015年也是因為修跑道啊結果造成了空中大塞車董事長知不知道這個事情二零五年事情我不太曉得不過這一次的過程當中流量管車確實是在我們做團隊裡面那你們單位知道嘛那你要修跑道喔你第一個一定考量到就是班機起降會不會延誤嘛這是必要一個考量嘛而且啊你要去辦考察你知道嗎去年喔
transcript.whisperx[297].start 9304.076
transcript.whisperx[297].end 9330.601
transcript.whisperx[297].text 去年11月吧逃避公司還特地跑到日本大阪關西國際機場去考察日本機場在跑到整建的時候那如何不影響把這個影響降到最低啦是不是這樣然後啊發現日本關西機場的做法非常好
transcript.whisperx[298].start 9332.076
transcript.whisperx[298].end 9346.845
transcript.whisperx[298].text 他是不停航的施工他運用臨時性的跑道邊燈這你們寫的啦每天封閉跑道燒場的時間進行施工然後再開放使用那一周他不是每天進行非連續日數進行你考察日本回來還寫個報告吧你考察上你考察回來結果這次你看就造成了
transcript.whisperx[299].start 9363.93
transcript.whisperx[299].end 9382.523
transcript.whisperx[299].text 受影響的旅客不要說怨聲載道其實更擔心的是飛航安全因為我們法定規定飛機的油料要多載兩個小時是不是這樣子就你的油料多容許大概你飛航時間再多兩個小時再多再放更多的那個航空油料一般航空公司不會
transcript.whisperx[300].start 9391.448
transcript.whisperx[300].end 9399.936
transcript.whisperx[300].text 因為油很重又很貴,所以法令規定多2個小時的油量,它的油箱它就是給空2小時而已你像他這樣在空中下不來啊之前還有,聽說還有盤旋4個小時以前發生過啦,以前發生過那這一次最長的盤旋,盤旋多久
transcript.whisperx[301].start 9419.278
transcript.whisperx[301].end 9419.638
transcript.whisperx[301].text 法定規定只有兩個小時
transcript.whisperx[302].start 9449.417
transcript.whisperx[302].end 9462.208
transcript.whisperx[302].text 因為航空優料又重又貴啦那我請問啦那你們在施工以前跟航空公司應該知道你們要施工他半次啊也沒有減少啦有沒有減少照理講他有減少他沒有減少我查一下航空公司沒有減少啦為什麼現在機票很好賣啦探緊啦
transcript.whisperx[303].start 9474.606
transcript.whisperx[303].end 9486.432
transcript.whisperx[303].text 兩邊都有責任但是法令授予民安局你可以要求他強制減班你知不知道因為我機場我在施工我根本沒有辦法容納一個小時60個班次旗將那你航空公司沒有一家減班你會不知道嗎航空公司為了賺錢這個也不對是不是這樣現在機票都用搶的機票那麼好賣就
transcript.whisperx[304].start 9503.649
transcript.whisperx[304].end 9523.675
transcript.whisperx[304].text 每個人都不敢搬啊,買不來啊那結果下不來還好這次啊沒有發生安全性的問題啦重點是你們還出國去考察為了要施工啊特地去國外考察人家跑到施工怎麼做啊還跑去日本大阪貿易機場回來寫個報告去衝啦董事長你是工程專家啦是
transcript.whisperx[305].start 9533.55
transcript.whisperx[305].end 9561.136
transcript.whisperx[305].text 剛才請你到接陶器公司就是因為看中你在工程方面的專才嘛所以這一次我們經過這一次的教訓以後我們開始已經在做全門的檢討那未來的這個操作的方式呢我們會從重新的更新包括把現在所談到的這些相關問題都納進來包括航管包括航空公司還有包括對旅客的事先的讓是訊息發布的部分我們都需要重新對你的修跑道你現在的公佈都是在你們自己官網都內部看得到旅客看不到
transcript.whisperx[306].start 9562.349
transcript.whisperx[306].end 9587.8
transcript.whisperx[306].text 我覺得以後像你們這種重大施工可能會影響到非常半次時間的你應該要放在公開網站讓一般旅客也知道你現在公佈到網站我們一般人是看不到的所以這個要特別的發佈新聞甚至你應該要用公開的新聞對不對就是要發佈新聞嘛所以你們好好地檢討這種事情不要再發生了好不好好謝謝部長謝謝董事長
transcript.whisperx[307].start 9589.308
transcript.whisperx[307].end 9609.559
transcript.whisperx[307].text 林俊憲委員發言完畢有關於林俊憲委員針對大貨車司機權益保障的臨時提案請交通部相關單位趕快跟林委員進行文字的修正接下來我們請魯明哲委員發言
transcript.whisperx[308].start 9625.902
transcript.whisperx[308].end 9626.462
transcript.whisperx[308].text 王國材列席
transcript.whisperx[309].start 9643.836
transcript.whisperx[309].end 9669.259
transcript.whisperx[309].text 這個很多委員在談淘機塞機這個問題因為難跑到稅休其實剛剛我聽了這個包括部長跟我們機場公司的回答我個人是完全的不滿意而且沒辦法接受我相信這是大部分關心這個世界國人的一個態度為什麼呢我們絕對可以接受一個你做一個突發的事情
transcript.whisperx[310].start 9670.26
transcript.whisperx[310].end 9699.207
transcript.whisperx[310].text 獲得第一次新的一個業務你手忙腳亂你不知道無法預測這我相信人情義理大家講道理這樣的一個異常的管理新的事項我們手忙腳亂發生事情人民雖然不滿但是希望透過學習改進可是跑到稅休這件事情是新的業務嗎是你們 routine例行性的工作
transcript.whisperx[311].start 9700.765
transcript.whisperx[311].end 9718.488
transcript.whisperx[311].text 而且離譜到真的是搞到國際性的新聞啊民國103年2月份也是難跑到稅休封閉一整年一年到隔年的大概1月才開放
transcript.whisperx[312].start 9723.388
transcript.whisperx[312].end 9739.992
transcript.whisperx[312].text 一年期間每一天飛機讓流量怎麼樣去控制你沒有很棒的人才經歷過這麼大挑戰結果到現在現在都發生什麼事今天到最後我的感覺就是裝可愛抱歉我不會我不懂所以再給我一次機會憑什麼
transcript.whisperx[313].start 9742.214
transcript.whisperx[313].end 9758.363
transcript.whisperx[313].text 為什麼你們對一個類型性過去淘汰公司是一個整體是一個法人是一個團隊你們團隊完成了這麼多艱難相關的任務如何當年怎麼排除現在都換新人了嗎所以楊董跟范董你們哪一個是交通專業的你們都不是兩個都是工程專業的
transcript.whisperx[314].start 9763.442
transcript.whisperx[314].end 9773.833
transcript.whisperx[314].text 那部長你用這兩位工程專業的到淘氣公司沒有留一個交通專業甚至航管這個系統出來的人是當時的想法是什麼
transcript.whisperx[315].start 9774.81
transcript.whisperx[315].end 9799.625
transcript.whisperx[315].text 沒有,他們的各個組裡面都有這個相關,副總也都是各方的專業那的確這一次是在於這個等於台灣機場包括三航廈三寶道的建設還包括機組設施的強韌所以也找到他們這方面的專長來,現階段是以這個為主OK,在這個事件上面我們已經看到了
transcript.whisperx[316].start 9801.527
transcript.whisperx[316].end 9828.601
transcript.whisperx[316].text 有很多看得見的危機剛剛很多委員說過了包括人民的一個不滿包括很多人請了假根本沒有辦法順利的尤其轉機客影響真的非常非常大我覺得你們如果說閉口不去了解或去談可能的補償這個問題我覺得可能到最後你們也會驚慌失措再來我想問一下董事長
transcript.whisperx[317].start 9830.429
transcript.whisperx[317].end 9856.187
transcript.whisperx[317].text 請問一下我們3月3日你們施工塞機這個一個情況發生到這個不管是輿論、事實上有這麼嚴重你事前有沒有預測到?是事前有估算到嗎?事前確實沒有估算到那總經理、范總你事前有預算到、估算到嗎?報告委員我想我們
transcript.whisperx[318].start 9857.15
transcript.whisperx[318].end 9883.351
transcript.whisperx[318].text 在過去的經驗如果是跑道維修可能會產生有延誤的這個情形但是這一次的延誤的狀況的確是超過我們的預期好剛剛部長其實也提到你們有很多專業人才我也認為說你們經歷過這麼多次的一個機場的一個稅休在稅休的時候該做什麼樣的一個航管控制該跟國內的一個航空公司甚至國外的機場做什麼樣的一個聯絡
transcript.whisperx[319].start 9885.493
transcript.whisperx[319].end 9907.393
transcript.whisperx[319].text 我怎麼發覺現在有點快要歸零了你知道嗎我覺得這個東西是讓我覺得看不見一個最大的危機你們董事長總經理重要的部門一直在換我姑且我不管你有沒有事才事所你到了這個位置你就要把這個事情把它做好這是你們編這麼多預算
transcript.whisperx[320].start 9914.279
transcript.whisperx[320].end 9926.007
transcript.whisperx[320].text 人民聽到我聽到好害怕你知道嗎我們一群我們一群超專業的人在第一線幫我們守住了顧住了他們都預算到結果現在董事長總經理說其實
transcript.whisperx[321].start 9927.668
transcript.whisperx[321].end 9944.148
transcript.whisperx[321].text 沒有算到當天你感覺跟人民一樣嚇了一跳你感覺跟坐在機上孤單兩個小時的旅客嚇了一跳你感覺就好像在航空公司盤旋那些人怎麼以這樣的一個意外呢所以我覺得這非常非常的不應該
transcript.whisperx[322].start 9946.052
transcript.whisperx[322].end 9969.503
transcript.whisperx[322].text 我真的介意你剛講的應變小組專案小組你真的就是這個事情就是要專案小組現在擺明誰來籌組這個專案小組你要追蹤進度你不能用開會開完會大家解散航空公司解散要做不做進度做到哪裡不知道航管他的回應到底如何沒有一個長期性的一個連結你這個問題我跟你講
transcript.whisperx[323].start 9973.703
transcript.whisperx[323].end 9994.794
transcript.whisperx[323].text 你們裏面的人有說啊說真的這麼多的數據那一天我施工會有多少航班要下來我們淘機只有北跑道可以用這是明明數學就可以算出來的一些問題居然我們就眼睜睜看了大船往冰山上面撞所以我覺得這很不應該了齁
transcript.whisperx[324].start 9996.533
transcript.whisperx[324].end 10019.543
transcript.whisperx[324].text 那未來除了專案小組之外你們這個還有什麼具體的一個作為要去做說一下當然專案小組就是要管控整個從稅修計畫開始一直到稅修計畫結束流程當中的每一個環節那這個環節在過去的經驗我們所定的這些SOP我們重新檢視會把缺的部分缺少的部分補上來
transcript.whisperx[325].start 10020.203
transcript.whisperx[325].end 10043.71
transcript.whisperx[325].text 第二點最重要的是對旅客跟航空公司的部分這一塊在過去的做法我們發布了飛航通告對象基本上是專業的這個對象那對民眾的這一塊或者是對於航管的預測的這一塊我們現在缺少這一塊的完整度那這個部分我們也在繼續宣導當中好董事長這個事實上將近10年前南跑道封閉一年
transcript.whisperx[326].start 10044.75
transcript.whisperx[326].end 10072.496
transcript.whisperx[326].text 因為當時的溝通包括飛航的公告協調花了蠻久的時間才能夠慢慢舒緩你現在去怪航空公司怪列克都沒有道理嘛因為你們前大概十幾天才公告他們半年前就預備三個月大概票很多就訂滿了所以我覺得這個東西至少3、4個月以前你們就要去發布要有這樣的一個能力要這樣去做
transcript.whisperx[327].start 10073.998
transcript.whisperx[327].end 10075.543
transcript.whisperx[327].text 接下來應該是公務總局吧
transcript.whisperx[328].start 10080.526
transcript.whisperx[328].end 10108.839
transcript.whisperx[328].text 我想你們最近開了協調會同樣找了針對我們道教條例相關罰則、祭典甚至檢舉的一個方式有做了一些討論但我們看到後面的一個報導我們發覺好像是在平行線上面討論那邊是司長主持也沒有聚焦那你們現在這個案子是微調的案子是不是已經送到
transcript.whisperx[329].start 10110.327
transcript.whisperx[329].end 10129.508
transcript.whisperx[329].text 行政院過了嗎?要送來立法院了嗎?禮拜四、院會就明天?明天院會那院會如果過了就會來立法院審議嗎?是不是?我想到立法院還是可以討論目前我們是用這個違罪這個不祭典的方式來
transcript.whisperx[330].start 10131.51
transcript.whisperx[330].end 10132.831
transcript.whisperx[330].text 我現在看到市上很多的衝突點的確啦
transcript.whisperx[331].start 10151.226
transcript.whisperx[331].end 10176.229
transcript.whisperx[331].text 我們在這個道交條例去年6月份上路之後後面發覺很多的可能工程面因為很多工程面是地方政府大家能不能配合的很多的包括我們取締它的標準剛開始一不一致這等等的包括宣導的時間夠不夠但是現在法令上路了嘛到現在這個反應怎麼樣去抓到一個平衡點
transcript.whisperx[332].start 10177.27
transcript.whisperx[332].end 10207.03
transcript.whisperx[332].text 國外現在很多都在講完整街道一個理念就是這條道路他應該思考到所有要使用者我覺得這是一個非常好而且非常理想的境界我覺得這個當然目前在台灣適合已經落實在很多的新的區段徵收區塊他確實這樣去做那我們在這樣的一個完美理念現在遇到最大的衝突就是很多的馬路根本連人行道都沒有了
transcript.whisperx[333].start 10208.411
transcript.whisperx[333].end 10208.431
transcript.whisperx[333].text 拜訪議員
transcript.whisperx[334].start 10226.005
transcript.whisperx[334].end 10240.718
transcript.whisperx[334].text 你接到很多一個陳情啦當然行人很多連行人道都沒有走很多的騎樓也被擋住他們我們包括我們我們如果沒有開車都變行人啦但是我也發覺我們沒有開車有可能也去上班
transcript.whisperx[335].start 10241.826
transcript.whisperx[335].end 10262.502
transcript.whisperx[335].text 我們沒有開車有可能是回家過生活回家過生活要加體成員有人要去買菜有人要去7-11其實我們每一個人都可能在這個完整街道上扮演不同的角色但是我是覺得你現在要調整的方向現在溝通已經結束了嗎?
transcript.whisperx[336].start 10264.232
transcript.whisperx[336].end 10269.216
transcript.whisperx[336].text 昨年11月有特別要求希望地方政府優先盤點3個月盤點最好是每100到150公尺有10%的
transcript.whisperx[337].start 10287.111
transcript.whisperx[337].end 10287.492
transcript.whisperx[337].text 王國材列席報告業務概況.
transcript.whisperx[338].start 10303.266
transcript.whisperx[338].end 10331.562
transcript.whisperx[338].text 這個部分我跟委員報告一下目前各縣市地方政府尤其六都都在這個辦理那這個各縣市辦理的這個進度不一那我在這個2月份也有開過一次會議掌握進度那後面的話剛剛這個委員所提到在禮拜一跟陸選團體討論的時候這個部分大家有共識交通部會每兩個月然後邀請兩個縣市以六都為優先來邀請他們西部盤點這個每個地方政府辦理的一個這個進度
transcript.whisperx[339].start 10341.951
transcript.whisperx[339].end 10355.143
transcript.whisperx[339].text 公共會建議的還有地方政府自己去盤點的一個部分的話我在2月份開會的時候基本上大概都有一定的一個進度在做一個處理我想細節部分我們等法案送過來的時候我們再做細部討論謝謝
transcript.whisperx[340].start 10359.651
transcript.whisperx[340].end 10384.512
transcript.whisperx[340].text 盧委員發言完畢現在請尤浩委員發言麥克風麥克風謝謝一樣有請部長王部長嗨
transcript.whisperx[341].start 10390.111
transcript.whisperx[341].end 10391.094
transcript.whisperx[341].text 謝謝,那一樣針對延續討機、塞機的問題
transcript.whisperx[342].start 10399.571
transcript.whisperx[342].end 10418.58
transcript.whisperx[342].text 那部長還有陶基的不管董事總經理那今天延續大家還是針對陶基的稅修的部分還造成塞機的問題那本席同樣這個塞機的問題他不僅是管理處的問題他同時這個飛機在那邊塞機的時候
transcript.whisperx[343].start 10421.181
transcript.whisperx[343].end 10443.01
transcript.whisperx[343].text 都有可能造成非常嚴重的甚至包括飛機如果相撞或者是包括重大的空難這個是一定有可能發生我們在立院一直都希望的包括大家交通都是很平順包括飛機的航空安全都是非常的能夠有保障
transcript.whisperx[344].start 10443.891
transcript.whisperx[344].end 10452.773
transcript.whisperx[344].text 那這個稅修的這一次的事件那確實是有可能造成空難那我想請教部長您覺得有沒有這個可能
transcript.whisperx[345].start 10453.527
transcript.whisperx[345].end 10474.204
transcript.whisperx[345].text 的確這一次比如說在通告時間太短然後航空公司可能來不及應變所以那天在修跑道剩一條跑道當天還有近700架的飛機在起降我想這個是在淘氣必須做一個檢討應該是把它分散到別的別天去
transcript.whisperx[346].start 10475.225
transcript.whisperx[346].end 10498.624
transcript.whisperx[346].text 然後另外就是在整個這次另外就是乘客都不知道這件事也是很嚴重就是說乘客不知道有修跑道可能會有延誤這件事情也很嚴重我想說未來他們除了在相關的營運者包括地勤包括航空公司的通知以外旅客通知一定要到位要不然他沒有預期到說可能延誤
transcript.whisperx[347].start 10499.545
transcript.whisperx[347].end 10525.142
transcript.whisperx[347].text 所以在這個反應上面就非常的影響很大所以我想說已經有非常多的細節必須來討論那他們下半年是要修北跑道我想這一次的經驗應該要他們在北跑道的時候完全不能發生這樣的狀況所以說部長我想問一下本來應該要在多久以前的時間要先進行公告
transcript.whisperx[348].start 10526.448
transcript.whisperx[348].end 10549.174
transcript.whisperx[348].text 我們建議是應該是三個月 正常就是三個月前 但是公告的話是幾月幾號公告他們是2月21號公告 他是沒有說一定要三個月但是我們是覺得一定要有一個三個月讓他包括航班的調度等等的那其實本來就應該要在三個月前公告才是比較正確的 是
transcript.whisperx[349].start 10550.134
transcript.whisperx[349].end 10573.305
transcript.whisperx[349].text 但是2月21日才公告那這樣子短短的兩個禮拜的期間那造成這樣子重大的一個失誤那非安的這種安全的確保啊那這種風險是不可以有任何的一個偏差所以說部長你也覺得這是有可能造成空難的沒有錯這一次我們也非常注意這個事了比如說在盤有沒有可能造成空難
transcript.whisperx[350].start 10574.178
transcript.whisperx[350].end 10577.762
transcript.whisperx[350].text 有沒有任何一點可能性?我們不會讓它發生啦,但是的確有這樣的一個可能性嘛對不對
transcript.whisperx[351].start 10595.987
transcript.whisperx[351].end 10621.976
transcript.whisperx[351].text 在航管這一塊為什麼要做流量管理主要就是要確保整個載空機的安全流量管理的話是在一個正常的情況之下才會進行這個流量管理那這個是突發的狀況的話流量管理的話大家我相信交通部一定都說沒有問題啦那航管一定都說沒有問題啦但是發生問題的時候通通都是在認為沒有問題的情況之下發生的那我想問一下這一次的這個整個過程中
transcript.whisperx[352].start 10623.897
transcript.whisperx[352].end 10629.638
transcript.whisperx[352].text 那我想請教部長那一個單位應該去負最大的一個責任誰是最可以獲首
transcript.whisperx[353].start 10630.994
transcript.whisperx[353].end 10652.702
transcript.whisperx[353].text 我想在整個因為他們現在直接說哪個單位好了我覺得當然是這個桃園機場他們在這一次的稅休包括桃園機場那我直接問部長那因為這個是包含的在後面稅休的處理以及包含在未來相關的一個這種維護上大家要做一個實施警惕實施檢討
transcript.whisperx[354].start 10654.503
transcript.whisperx[354].end 10670.475
transcript.whisperx[354].text 那我想問一下在這一次的經驗上必須要有一個負責的成績或是救責的成績我想請問目前在部長這一個事件上哪一個成績會負到什麼樣的責任不管是行政責任或是政治責任請部長回答
transcript.whisperx[355].start 10671.597
transcript.whisperx[355].end 10685.522
transcript.whisperx[355].text 我想因為這次他們在第二天就完全掌握了在第二天原來三天的跑道的變成兩天因為這個不是第二天因為這本來就不應該發生的部長你也認為不應該發生嗎?
transcript.whisperx[356].start 10687.022
transcript.whisperx[356].end 10706.196
transcript.whisperx[356].text 對我覺得那這一次的懲處的成績我相信不管是機場的內部的人員在看交通部在看社會各界也在看想請教部長這一次的預計負責的成績要懲處的成績到哪裡沒有現在就是因為我們的行政司就是會簽上來就是但是他們現在的確內部在討論在這個構成中
transcript.whisperx[357].start 10709.258
transcript.whisperx[357].end 10731.209
transcript.whisperx[357].text 比如說他們開了這麼多的會議在航空公司不知道到底我們淘機的後續的追蹤比如說這個航班到底有沒有去做一些改變等等的我想等他們檢討出來以後我們再來所以說這次目前沒有有任何人對這次的負責沒有就是他們檢討報告我們行政司會送上來我們再來討論應該
transcript.whisperx[358].start 10739.841
transcript.whisperx[358].end 10749.485
transcript.whisperx[358].text 一個月內就是我們會做一個處理所以說都不用懲處一個月做處理就是裡面可能會有懲處他懲處到哪個層級預計預計會懲處到哪個層級等他們送上來吧所以說現在沒有辦法對社會各界回應
transcript.whisperx[359].start 10762.902
transcript.whisperx[359].end 10789.469
transcript.whisperx[359].text 沒有那個就是一個月內沒關係一個月內之後我們看後面的結果好不好在今天也不用特別去但因為最主要是需要有這樣子的回應是社會各界的回應因為不僅是航空公司裡面大家也在看社會各界也在看因為宣案是不能夠有任何的失誤那這次來講我相信不可以再犯因為大家時時會盯著此案那同樣的我想要再延續著
transcript.whisperx[360].start 10790.529
transcript.whisperx[360].end 10812.396
transcript.whisperx[360].text 就是之前跟部長就教的有關於南投縣那這個機場的終結、延伸、何時何定在這個局限的部分那今天也有提一個臨時的提案那包括南投縣政府在南投縣軌道系統整體路網評估計畫那也有提出那機場公司請回
transcript.whisperx[361].start 10813.276
transcript.whisperx[361].end 10839.763
transcript.whisperx[361].text 再來就是在2014年的時候蔡英文總統曾經在南投的這個場合直接公開宣誓要將終結延伸到南投那在賴清德未來要就任的總統也在南投的時候提出了要讓終結延伸到南投那我想請教一下部長終結何時可以延伸到南投你有沒有把握
transcript.whisperx[362].start 10840.243
transcript.whisperx[362].end 10854.355
transcript.whisperx[362].text 現在跟郵委報告,我們當然是支持台中的軌道延伸不管是南線延伸還是局線延伸現在我們也請地方政府提出因為現在的決定是這樣
transcript.whisperx[363].start 10855.356
transcript.whisperx[363].end 10882.379
transcript.whisperx[363].text 他要提出可行性報告我們來審查中國規劃通過以後我們就補助我們交通部主要是在這個經費補助的部分那現在就是臺中市政府跟南南投縣政府討論一下包括整個路線的這個規劃然後提出報告那相關的這個可行性的這個報告我們可以做一些經費的支持那我想要這部分地方提出來我們會按照我們行政程序來來審查
transcript.whisperx[364].start 10883.86
transcript.whisperx[364].end 10907.318
transcript.whisperx[364].text 因為在賴清德來南投的時候他又直接提到了一個吸引、兩大申請、八大計畫那我想請教一下在他所提的這個政見要延伸到南投的部分部長你怎麼解讀以及說他已經公開承諾了賴清德已經公開承諾了而且這個部分從2014年蔡英文其實騙南投人騙到現在
transcript.whisperx[365].start 10907.978
transcript.whisperx[365].end 10924.481
transcript.whisperx[365].text 那賴清德他來南投再次承諾我想請教一下部長在你任期內有沒有可能能夠確實來承諾讓這個終結延伸到南投局限的部分這個表示兩位總統的態度很清楚嗎
transcript.whisperx[366].start 10924.881
transcript.whisperx[366].end 10925.822
transcript.whisperx[366].text 邀請交通部部長王國材列席報告
transcript.whisperx[367].start 10943.499
transcript.whisperx[367].end 10959.074
transcript.whisperx[367].text 我想知道剛才我相信林佩祥也在想有生之年希望能夠看到那我在想說終結到南投有生之年大家也都能夠看到那部長你有沒有辦法承諾在你任期上能夠具體的能夠回復南投還有是不是終結到南投有具體進度
transcript.whisperx[368].start 10960.095
transcript.whisperx[368].end 10979.681
transcript.whisperx[368].text 我的態度就是兩位總統的態度一樣我們支持就是說軌道不是只有都會區它應該是往外延伸就像這個臺北延伸到這個新北一樣甚至到桃園我們的態度支持那地方提可行性我們來協助
transcript.whisperx[369].start 10981.604
transcript.whisperx[369].end 10999.315
transcript.whisperx[369].text 那所以說有沒有辦法具體的承諾在你的這個任內的期間能夠加速的配合南投縣政府因為南投縣政府有提其實那時候你們也知道嘛不是那那個提出來然後我們也可以做協助越快越好啦好啦儘快因為等一下會提案解決齁好好謝謝與委員發言完畢現在請萬美玲委員發言
transcript.whisperx[370].start 11013.84
transcript.whisperx[370].end 11016.342
transcript.whisperx[370].text 謝謝主席 我們有請部長請部長部長好 我們桃園的鐵路地下化從高架改成地下化到現在多久的時間 您知道嗎
transcript.whisperx[371].start 11032.105
transcript.whisperx[371].end 11037.048
transcript.whisperx[371].text 應該在鄭市長上任市長的時候做一個改變
transcript.whisperx[372].start 11062.165
transcript.whisperx[372].end 11074.93
transcript.whisperx[372].text 現在主標的4個標應該這個月都會發表出去就是這個主標的部分然後全部也就是去年的確是發表了
transcript.whisperx[373].start 11077.031
transcript.whisperx[373].end 11092.539
transcript.whisperx[373].text 到目前為止我們看到土建標有17個標可是以目前來說是有7個已經絕標了那基建標的部分14個標裡面有5個是已經絕標了那所以其實本市很關心的就是我們的中路站然後還有我們的這個桃園站
transcript.whisperx[374].start 11094.06
transcript.whisperx[374].end 11110.636
transcript.whisperx[374].text 聽說現在也進入到要這個決標的一個階段了算是總算有一點進度了不過呢這期間因為我想鐵路是連貫的嘛我們的鳳鳴站、內力站以及桃園醫院站這幾個站到目前為止看起來都還沒有進到發包的這個部分來
transcript.whisperx[375].start 11111.317
transcript.whisperx[375].end 11130.788
transcript.whisperx[375].text 所以我想不管土建標、基建標其實都有待進度的加強另外我想請教的就是交通部自己原來的規劃上有說我們整個桃園內壢到中壢這一段你預計在118年4月可以通車全線119年7月就可以通車了那我跟部長來報告一下
transcript.whisperx[376].start 11132.869
transcript.whisperx[376].end 11153.765
transcript.whisperx[376].text 這個桃園鐵路地下化通車不論是剛剛說的桃園內立跟中立站或者是全線我們已經聽過了N個版本了那常常都是給我們欺騙再欺騙真的是騙很大從我們看到過去鄭文燦市長的時候的臉書他自己寫的現在都還在他也沒把它撤掉說是114年要通車一回又說115、116現在來到您這裡118現在說119這個數字聽了我們桃園市民都麻痹了
transcript.whisperx[377].start 11162.211
transcript.whisperx[377].end 11172.482
transcript.whisperx[377].text 所以我認為真的是需要在這個進度上面再加強一下那部長能不能就現在我們延宕的原因跟我們現在各標案這個進度的狀況簡單的簡述一下現在有兩個變數一個就是你講的桃園CJ12標因為文資的課題
transcript.whisperx[378].start 11182.432
transcript.whisperx[378].end 11198.613
transcript.whisperx[378].text 那一天我們剛好在台灣有一個這個中線的這個現場的說明我有特別請那個台灣市政府這邊一定要協助因為他們在文化局部一定要協助要不然這個可能會拖很長第二個是憑證的延伸
transcript.whisperx[379].start 11199.494
transcript.whisperx[379].end 11220.479
transcript.whisperx[379].text 因為現在憑證延伸後來是希望納到這個計畫那憑證離這個很遠你知道嗎他從可行性開始做所以這兩個加我們出戶如果這兩個沒有妥善的這個處理還會再延長1819都可能做不到所以我們現在就是部長所以您現在是公開的說1819又做不到了
transcript.whisperx[380].start 11220.819
transcript.whisperx[380].end 11234.475
transcript.whisperx[380].text 因為這兩個是這個加入 如果憑證不納到這一個的話我們就拼一下 憑證納進去 我覺得我們分段來看嘛 那憑證這個這個變數啊我們先暫時放在旁邊 前面這一段你可以如期118年通車嗎
transcript.whisperx[381].start 11237.677
transcript.whisperx[381].end 11257.723
transcript.whisperx[381].text 我們現在就是還是前面還是11812但是鐵路不會這樣就是你做當然我理解但是你進度工程要趕上嘛對不對不能每一段每一段一直延宕你每一段一直延宕你最後總工程期就會像過去這9年來桃園市民被騙很大那你知道那個期待非常的高每一次每一次落空說真的
transcript.whisperx[382].start 11258.803
transcript.whisperx[382].end 11279.418
transcript.whisperx[382].text 本席今天在這裡垂尋118跟119我覺得桃園市民即便聽到也會覺得說哎呀又喊了一個數字出來但我覺得我們不能這樣我們要對我們所說的這個承諾要把這個責任負起來所以部長我想請教一下那現在我們桃園站跟中路站的進度情況是怎麼樣我請局長幫你說明
transcript.whisperx[383].start 11280.845
transcript.whisperx[383].end 11281.285
transcript.whisperx[383].text 接下來就另外一個問題了
transcript.whisperx[384].start 11297.133
transcript.whisperx[384].end 11325.2
transcript.whisperx[384].text 部長我想在總質詢的時候我也跟您這個就教過那也就是說我們不管看到這個臨時軌的工程或者是我們主體工程的發包很多都是第一次在招票的預算到絕標的預算上面那個相差的金額真的非常的大那現在有很多一直在流標當中那個相差的金額就到了1億、3億這麼大的一個金額那總體在臨時軌的這個部分我們看到這個額度高達9億的差別這還不算多我們看到主體工程
transcript.whisperx[385].start 11325.74
transcript.whisperx[385].end 11348.493
transcript.whisperx[385].text 竟然高達131億的這個工程的一個決標數的差額那當初我們有說這整個工程中央負75%我們地方負25%可是現在本席竟然聽到交通部自己跟我們的回答說我們本來鐵道局說我們1048億鐵路地下化總預算現在已經完全用完了甚至於已經超支了是這樣嗎?
transcript.whisperx[386].start 11349.735
transcript.whisperx[386].end 11350.395
transcript.whisperx[386].text 所以1048已經花完了,而且還超支了是嗎?
transcript.whisperx[387].start 11367.702
transcript.whisperx[387].end 11389.796
transcript.whisperx[387].text 目前是還沒有超支,因為超支在預算程序上在我們目前說不夠了那因為過去三年的整個營建物資我理解喔,不過我想部長我的天啊我們還有這麼多的工資還沒有發包出去但預算現在已經花完了喔那我覺得在這裡有一個非常鄭重的要跟這個部長提喔第一個,那這個預算要趕快來補出來喔
transcript.whisperx[388].start 11391.417
transcript.whisperx[388].end 11420.183
transcript.whisperx[388].text 第二個呢我們當初所說的75%中央付、25%地方付但現在尤其工程一直延宕那這個總預算增加了那我們的那個25%的部分我想是不是交通部這個部分要能夠幫這個桃園市政府來解套不能夠把這樣的一個成本加注在桃園市政府的這個身上所以呢早一個時間我們跟部長這邊來討論這個75%跟25%然後追加的工程的部分我們希望中央能夠全部買單這樣可以做得到嗎
transcript.whisperx[389].start 11421.983
transcript.whisperx[389].end 11439.909
transcript.whisperx[389].text 好,萬委員發言完畢接下來在邱委員還沒有發言之前我們先再做個說明等一下臨時提案是在徐富奎委員發言完畢之後處理臨時提案
transcript.whisperx[390].start 11441.089
transcript.whisperx[390].end 11460.897
transcript.whisperx[390].text 我們今天早上的開會到許智傑委員發言完畢之後雖然中午原則上不休息但是還是要給大家基本吃飯的時間所以許智傑委員發言完畢之後我們會給大家吃飯的時間到一點半現在請邱若驊委員發言
transcript.whisperx[391].start 11470.905
transcript.whisperx[391].end 11494.035
transcript.whisperx[391].text 主席好 有請部長請王部長部長 桃園機場南跑道年度稅休 京陽瀨北跑道起降多架班機 起降延路改時嚴重衝擊到機場的秩序 桃機跟交通部也坦言衝擊超乎預期
transcript.whisperx[392].start 11496.551
transcript.whisperx[392].end 11525.066
transcript.whisperx[392].text 請問部長這次管理失能對被延誤的旅客之賠償金額估計是多少?航空公司要求索賠估計多少?這些都是國庫的損失依據什麼時候可以統計出來?現在還沒有談到這個現在是先調查因為航空公司跟顧客先來那他們整個處理完以後我會請這個陶器公司找航空公司來算一下那才決定後續怎麼處理這個都還沒有算出來
transcript.whisperx[393].start 11525.566
transcript.whisperx[393].end 11538.971
transcript.whisperx[393].text 國際旅客還有外籍航空公司怎麼看待這次的事件那這次機場管理失能傳到國外對台灣是負面的那想請問部長這次的事件旅客還有航空公司是怎麼看待的
transcript.whisperx[394].start 11552.523
transcript.whisperx[394].end 11576.771
transcript.whisperx[394].text 我想這一次我覺得這個在機場公司這邊的緊急性不夠就是說在這個已經知道那一天要有這麼多航班那應該是航班的分散還有相關的這個航空公司是不是已經改班次等等的要先確定我想說這一次也讓陶基也做一個徹底的一個檢討
transcript.whisperx[395].start 11578.391
transcript.whisperx[395].end 11580.274
transcript.whisperx[395].text 這次是提前54小時前預告嗎?
transcript.whisperx[396].start 11593.878
transcript.whisperx[396].end 11608.443
transcript.whisperx[396].text 請問部長,提前預告的時間。他是2月21號告訴各個航空公司,那我們覺得這個時間也不夠,因為如果旅客已經訂了飛機,航空公司要變也很難。
transcript.whisperx[397].start 11609.468
transcript.whisperx[397].end 11626.026
transcript.whisperx[397].text 所以我覺得這個通告應該會更早啦我們現在現在是給他的這個整個檢討情形是說三個月前就應該公告不只不只營業者還要包括這個消費者就是說旅客也要公告讓他心裡有所準備OK好
transcript.whisperx[398].start 11626.627
transcript.whisperx[398].end 11642.999
transcript.whisperx[398].text 那這次機場難跑到稅收造成航班大亂.交通部也坦承整修規模較往年比較大.而且沒有注意到交通量那這也凸顯出機場管理的問題去年在英國全球機場評比桃園機場從67名
transcript.whisperx[399].start 11646.323
transcript.whisperx[399].end 11647.424
transcript.whisperx[399].text 因果有一個叫做那個
transcript.whisperx[400].start 11677.723
transcript.whisperx[400].end 11691.568
transcript.whisperx[400].text ビジネス・ファイレンションビジネス・ファイレンション的這個媒體他的評比在2023台灣機場是全世界第9名那Square Tracks他是從旅客的這個感受來看這個機場那我們可以看到就是說這個
transcript.whisperx[401].start 11692.908
transcript.whisperx[401].end 11721.789
transcript.whisperx[401].text 在2023他們的調查應該是在2023的前面這段時間就是疫情期間那疫情期間跟委員報告我們機場很多的免稅店是沒有開的還有很多的這個包括這個管制讓這個機場的這個因為防疫來做很多管制所以我事實上我在應該幾個月前有到機場跟他們做這方面SkyTrack為什麼降這麼多的一個討論跟他們討論過他們也大概有幾個方向在處理
transcript.whisperx[402].start 11722.749
transcript.whisperx[402].end 11738.906
transcript.whisperx[402].text 當然也不能說我們好像台灣機場做得很好我覺得全世界的機場都在競爭包括像這一次的3月3日的這個問題我想說機場要改善的地方還非常的多我想說最重要的是機場應該這一次的學習
transcript.whisperx[403].start 11742.73
transcript.whisperx[403].end 11743.33
transcript.whisperx[403].text 請問部長目前的興建情況如何?
transcript.whisperx[404].start 11764.685
transcript.whisperx[404].end 11788.197
transcript.whisperx[404].text 三行下現在還是在115年然後我們會陸續從北廊廳、主行下跟南廊廳意思是說雖然115年做完但是我們北廊廳會先開放登機所以應該是在一年左右一年左右開始這個第三行下的北廊廳已經可以登機了這樣全體完工三行下是在115年後完工115
transcript.whisperx[405].start 11796.349
transcript.whisperx[405].end 11815.458
transcript.whisperx[405].text 對民進黨政府施政相挺的財經專家謝金河也感嘆臺灣的經濟力大有進展不過機場建設卻落後他也向新任總統蔡金河喊話這也許是未來施政很好的著力點那過去8年是民進黨執政對謝金河先生的發言有何感想
transcript.whisperx[406].start 11816.601
transcript.whisperx[406].end 11838.562
transcript.whisperx[406].text 我想,像過去台灣經常在疫情前表現是算還不錯,它事實上你可以看到108它在全世界很多的評比都是前面的那當然透過這個在疫情這段時間他們事實上像一些跑道還有一些這個航廈的推動都是一直一直往前我想說這一次我覺得是一個
transcript.whisperx[407].start 11840.544
transcript.whisperx[407].end 11864.878
transcript.whisperx[407].text 沒有很有警覺心對一個這樣的一個一條跑道的艇沒有一個警覺心我想也不是說我個人是覺得說這一天這個是要檢討但是並沒有辦法說用這一天來否定整個台灣機場他們的努力但是我覺得3月3日這一天的檢討是我們必須痛定思痛來檢討的
transcript.whisperx[408].start 11866.035
transcript.whisperx[408].end 11888.072
transcript.whisperx[408].text 好那機場跟觀光有非常大的關係那臺灣的觀光好像還在原地踏步被盤點出幾個致命傷像是景點特色不足還有重視短期補助或是長遠的規劃嚴重的缺工還有旅遊費用高那現在的困境不只影響就是海外來臺旅遊的意願那許多國人呢也認為出國比國旅好那根據交通部觀光署調查那112年的統計總共有1170
transcript.whisperx[409].start 11891.354
transcript.whisperx[409].end 11891.794
transcript.whisperx[409].text 數字差這麼多
transcript.whisperx[410].start 11906.722
transcript.whisperx[410].end 11922.912
transcript.whisperx[410].text 對 我們開放國境的時間點也比較晚 那我們其實應該分兩個部分來談 一個是外國客來台灣 另外一個就是我們國民旅遊 那國旅的部分我們在去年其實已經超越了我們
transcript.whisperx[411].start 11924.252
transcript.whisperx[411].end 11940.948
transcript.whisperx[411].text 民國108年也就是2019的標準今年我們的目標就是希望能夠挑戰回復到疫情之前全球的分析也是這樣有保守值跟樂觀值也就是2024年是樂觀值保守值是到2025年回到2019年的標準
transcript.whisperx[412].start 11946.613
transcript.whisperx[412].end 11960.126
transcript.whisperx[412].text 那麼這個部分我們當然是也希望能夠開闢更多的亮點是,署長那回到標準大概人數會是多少目標數是多少我們目前還是以我們2019年是1187萬人次那我們還是以這個標準來努力
transcript.whisperx[413].start 11967.373
transcript.whisperx[413].end 11989.565
transcript.whisperx[413].text 因為疫情之前台灣每年觀光人數都是超過千萬人的嘛那在日本還有亞洲國家人數都已經回到疫情前的標準了還有人數那交通部觀光署去年訂的目標其實當時林民進黨立委也認為不高要達到目標應該不是很困難的事那可以提出具體的方案嗎就是在針對我們發展台灣觀光這一塊
transcript.whisperx[414].start 11990.746
transcript.whisperx[414].end 12010.424
transcript.whisperx[414].text 是,我們大概應該是還是要跟國際的發展趨勢一致了所以我們現在對台灣的強項裡面有幾個就是生態旅遊跟部落旅遊還有就是我們希望能夠倡議這個所謂的MICE就是順道旅遊也就是會議之後的休假旅遊的部分
transcript.whisperx[415].start 12012.786
transcript.whisperx[415].end 12019.571
transcript.whisperx[415].text 因為去年的時候部長有說過去年12月8號的時候不管有說過不管今年陸客會不會來都希望可以達成1200萬人次那這個是怎麼算出來的?
transcript.whisperx[416].start 12023.61
transcript.whisperx[416].end 12046.974
transcript.whisperx[416].text 這是我們的目標就是恢復到以前的水準因為去年本來這個600萬也有100萬是入客啦後來我們就用其他地方來補回來這樣子是好那馬上第一季觀光統計出來之後希望可以提供書面資料是再麻煩部長那這邊我們也看到從桃園市政文產前市長到現任的張善政市長都在積極我們全國第14個國家級的風景區
transcript.whisperx[417].start 12050.515
transcript.whisperx[417].end 12069.443
transcript.whisperx[417].text 北橫國家風景特定區請問後來行政院協調的如何了這個部分大概有已經初步的一個想法是有了但是因為主要有兩個部分一個就是這個我們叫做有一些原住民的部落他們還是要經過部落會議的討論
transcript.whisperx[418].start 12071.564
transcript.whisperx[418].end 12092.493
transcript.whisperx[418].text 第二個是我們相關單位的橫向的協調比如說有一些是林業署的這個拉拉山的這個遊樂區還有一個範圍包括石門水庫是不是應該納在裡面還有一些涉到國防部的這些慈湖的這些部分好謝謝署長
transcript.whisperx[419].start 12095.423
transcript.whisperx[419].end 12118.541
transcript.whisperx[419].text 邱委員發言完畢現在請蔡其昌委員發言謝謝主席請王部長請楊董事長蔡委員好部長好董事長好
transcript.whisperx[420].start 12125.677
transcript.whisperx[420].end 12153.081
transcript.whisperx[420].text 一個早上大概朝野的委員都在桃園機場這一次稅休導致塞機的這個事件上面那事實上大家談的我也不再重複啦但我覺得三件事把它做好第一個道歉並研議往後針對這個事件包括可能嚴重受損的旅客是不是有相關的一些補償的機制這個第一個第二個
transcript.whisperx[421].start 12154.909
transcript.whisperx[421].end 12176.827
transcript.whisperx[421].text 非常重要的關鍵稅修不是新聞就稅修機場固定稅修都一定要做那這一次稅修會讓董事長跟總經理沒有預估到會導致今天這個情形那我認為這個稅修的SOP一定有問題不然怎麼可能會
transcript.whisperx[422].start 12178.121
transcript.whisperx[422].end 12195.374
transcript.whisperx[422].text 以前怎麼弄發展到今天的稅修會變成塞機然後旅客抱怨然後變成了一個大家覺得不可思議的情形所以這個稅修的SOP的機制的檢討立刻進行可以嗎這個要多久的時間可以做好
transcript.whisperx[423].start 12196.568
transcript.whisperx[423].end 12215.03
transcript.whisperx[423].text 報告委員目前已經在進行檢討當中公司內部的部分在這個禮拜會檢討出來公司外部的單位在下個禮拜會檢討這個我想不會需要太多的時間我想兩週到一個月之內一定要把新的稅修到未來的這個SOP到底要怎麼來做
transcript.whisperx[424].start 12216.051
transcript.whisperx[424].end 12239.187
transcript.whisperx[424].text 到底你要多久之前公告因為稅修我們現在就已經知道大概南跑道好了之後接下來北跑道那接下來下一次要稅修的點在哪裡他大概什麼時間多少錢因為你的預算一定事先編列了嘛所以這個其實不要說3個月我認為可以早盡量半年嘛因為現在啊國際都在塞啦
transcript.whisperx[425].start 12240.365
transcript.whisperx[425].end 12268.283
transcript.whisperx[425].text 機票很難訂啦所以像我的經驗來講我都要提早半年訂嘛所以你現在必須先讓我知道半年後我要去的機場我要出發的航班會不會因為你又有稅休如果今天是突發的那沒有辦法我想國人大家可以接受但是稅休這樣的事情犯了這個錯誤這個應該要真的檢討特別是我想楊董事長我覺得我從你從在政府部門的公務機關一路
transcript.whisperx[426].start 12270.104
transcript.whisperx[426].end 12298.877
transcript.whisperx[426].text 從基層一路上來過去你在水利署或者經濟部的表現其實我都很肯定不管從馬總統一路到蔡總統我對你的表現我都是很肯定所以你是有能力的人有能力的人面對這個事情那就應該把更清楚的透明的讓大家知道原因在哪裡怎麼做要怎麼改觀不要再讓這個事情發生這個就是我想你去淘汰公司這個就是你所要的工作
transcript.whisperx[427].start 12299.597
transcript.whisperx[427].end 12316.495
transcript.whisperx[427].text 那最後一個就是我剛剛講你SOP出來之後你才有消費者的預警機制的建立啦其實預警機制的建立大家都在講要公告公告我不反對但其實TA目標客戶很清楚目標客戶都在航空公司跟旅行社啦
transcript.whisperx[428].start 12317.116
transcript.whisperx[428].end 12341.294
transcript.whisperx[428].text 也就是你的預警機制裡面怎麼直接把可能要搭飛機的人你的關鍵就在於航空公司跟旅行社之間怎麼快速讓他知道說你買這一班飛機有可能會遇到稅休甚至我告訴你買這班飛機就是遇到稅休所以你有可能你就會被延誤兩小時、三小時所以航空公司從賣票開始該不該賣他就先提醒消費者
transcript.whisperx[429].start 12342.998
transcript.whisperx[429].end 12366.239
transcript.whisperx[429].text 不該賣的票就不該賣反正這一班已經會延遲超過12個小時那這個班還要賣嗎那第二個如果這個是延遲一兩個小時你有預警機制讓消費者事先知道我相信消費者他會選擇這個航班他就已經知道會有這個遇到稅休的這個情形所以他的那個感受就是他的不爽的程度自然下降因為我已經告訴你
transcript.whisperx[430].start 12366.88
transcript.whisperx[430].end 12368.841
transcript.whisperx[430].text 第二件事情大家都在談這個機場的排行
transcript.whisperx[431].start 12388.686
transcript.whisperx[431].end 12416.607
transcript.whisperx[431].text 雖然我已經8年的時間沒有在交通委員會但事實上這個是common sense也就是每一個調查單位他對每一個機場的排名其實他都有他的量化的指標啦那有些指標我們可以達成那有些排行看起來數字不好嘛比如說這個13名調到82名這個看起來數字就非常糟糕
transcript.whisperx[432].start 12417.863
transcript.whisperx[432].end 12436.253
transcript.whisperx[432].text 我們也知道這個排名其實主要都還是在消費者他的滿意度的調查當然我也可以接受疫情哪有消費者會對桃園機場滿意的我想大家都很不滿意包括我在內但是這個就是疫情所以我們應該針對像這種讓台灣很難看的這種數字
transcript.whisperx[433].start 12441.195
transcript.whisperx[433].end 12463.809
transcript.whisperx[433].text 我認為淘汰公司應該要把它在今年因為今年現在才3月到12月我們還有很大的努力空間我們都知道它的重點是什麼所以把它的針對它的重點改善雖然這個我常常在講這個任何的評鑑都是一樣的立法院也是一樣立法院也有這個民間NGO團體在評鑑每一個立委
transcript.whisperx[434].start 12465.646
transcript.whisperx[434].end 12480.232
transcript.whisperx[434].text 每一個評鑑他的公告都會公告他的準則嘛比如說有一些人特別重視量化你來質詢幾次你提案通過幾個但是質詢的內容有些不在乎啊就是你上台鬼扯他也沒有關係
transcript.whisperx[435].start 12481.505
transcript.whisperx[435].end 12507.012
transcript.whisperx[435].text 那這個就是量化嘛所以一樣的道理機場的排名也是一樣但是不管怎麼樣他有排名他就一定有指標而這個指標不管怎麼樣總是我們能做好所有的指標都是高分這個對台灣的形象很好嘛對機場公司的績效也好嘛所以不管哪一個排名啦有些排名剛剛部長講那個叫做什麼Business Financial
transcript.whisperx[436].start 12507.532
transcript.whisperx[436].end 12509.433
transcript.whisperx[436].text 總統現在是82明年再回到60幾有沒有辦法?
transcript.whisperx[437].start 12528.739
transcript.whisperx[437].end 12546.255
transcript.whisperx[437].text 我們努力的目標不只有這樣子事實上我去年到公司來以後部長就有特別交代這個是機場公司今年的工作重點我們是朝進到前50名第一階段這個是一個很有價值的說法
transcript.whisperx[438].start 12546.815
transcript.whisperx[438].end 12548.076
transcript.whisperx[438].text 這是一個你要努力的方向
transcript.whisperx[439].start 12564.85
transcript.whisperx[439].end 12586.294
transcript.whisperx[439].text 另外部長我也想藉這個機會談機場這個臺中機場我想過去這8年當中雖然我沒有來交通委員會質詢但你為了臺中機場我們也多次開會甚至民防局也常常幾乎每一年都要去我辦公室好幾次所以我想藉這個機會也跟部長討論一下這個臺中機場在這個
transcript.whisperx[440].start 12594.283
transcript.whisperx[440].end 12603.927
transcript.whisperx[440].text 2040年的整體規劃裡面我們有去提到第一個就是機場從目前的一年369萬人次到2040年目標是500萬人次
transcript.whisperx[441].start 12608.154
transcript.whisperx[441].end 12632.459
transcript.whisperx[441].text 那500萬人次基本上他就要一樣就是要先前做好準備所以2040年的2040年的整體規劃其實也是為了這個目標要去做準備那這個其實我都支持我們過去也都針對40年目標甚至接下來45年的目標我們都有參與討論但是有幾點我還是要提醒第一個長期來看長期來看
transcript.whisperx[442].start 12634.96
transcript.whisperx[442].end 12647.159
transcript.whisperx[442].text 未來因應500萬人次以上甚至目標可能我的期待就是1000萬人次那T3不是桃園的T3是台中的T3
transcript.whisperx[443].start 12650.84
transcript.whisperx[443].end 12670.011
transcript.whisperx[443].text 這個這個這個要提早去進行規劃那但是事實上我們都知道吼那個圖這邊有吼部長你也都很清楚我過去啊十幾年來我就一直為這個這個機場的這個規劃我其實意見都一直很大吼因為我們老是把機場terminal1 terminal2縮在這個小小的這個角落
transcript.whisperx[444].start 12670.791
transcript.whisperx[444].end 12691.49
transcript.whisperx[444].text 因為這個圖啊後面這個楊溪區這個更大因為這個圖沒有沒有顯示楊溪區但是呢我們老是在這一小塊裡面打轉那這一小塊裡面打轉我們知道他旁邊就就漢祥所以我們就會一個非常有趣的就是臺中機場就會呈現一個非常小塊的這個terminal1 terminal2然後接下來呢這個是這裡的
transcript.whisperx[445].start 12693.251
transcript.whisperx[445].end 12712.679
transcript.whisperx[445].text 大概30倍或50倍啦就是吼這個可能要畫到牆壁外面才可以畫的進來那個叫楊溪區所以我過去就一直提議說可不可以往裡面移啦但客觀因素主觀因素很多包括空軍啊意見一大堆當時我叫漢強可不可以讓一些土地他也不肯
transcript.whisperx[446].start 12713.559
transcript.whisperx[446].end 12725.948
transcript.whisperx[446].text 這些都是過去的限制好現在我們要做2040年的計劃已經做了2040年的計劃所以我會希望terminal3的位置千萬不要再跟1跟2去擠了啦
transcript.whisperx[447].start 12726.604
transcript.whisperx[447].end 12745.975
transcript.whisperx[447].text 也就是說我們要將Terminal 3的位置再往西一點時間還很久啦2040年的計畫捏還十幾年啦所以應該要及早把這個計畫走出來啦當然不需要到我剛剛講的那四五十多大塊地但是
transcript.whisperx[448].start 12746.912
transcript.whisperx[448].end 12756.843
transcript.whisperx[448].text 把Terminal 3往西移來以它做一個規劃這個應該可以好好的來思考未來台中機場從500萬300多變500多目標我希望達到1000萬人次
transcript.whisperx[449].start 12761.633
transcript.whisperx[449].end 12779.319
transcript.whisperx[449].text 這個Terminal 3勢在必行你們也規劃了但是我覺得位置恐怕位置的配比上要重新來過那短期計畫裡面我想部長去年我也找你談過我們一起努力也拜訪了航空公司就是台中國際機場航班
transcript.whisperx[450].start 12785.9
transcript.whisperx[450].end 12802.55
transcript.whisperx[450].text 總算至少啦因為看起來長榮跟長榮集團跟華航集團因為飛機的問題嘛沒有辦法短期增加但是至少我們爭取了新語我想3月底就要在台中來增加這個直飛現港直飛這個澳門
transcript.whisperx[451].start 12808.174
transcript.whisperx[451].end 12828.29
transcript.whisperx[451].text 主席時間到了喔所以我們再繼續努力啦 把至少台中機場 譬如過去過去過去這個西校也很好飛沖繩飛琉球 然後中部人一直期待我們台中人很希望可以直飛日本那這些東西
transcript.whisperx[452].start 12830.051
transcript.whisperx[452].end 12856.391
transcript.whisperx[452].text 因為這不是單要求交通部啦這個也要航空公司備有飛機、租有飛機然後他也願意配合所以我希望行政上交通部全力來促成然後積極的協調這個國航的幾個航空公司讓台中機場這個航線、航點、航班都能夠增加好不好?可以啦吼第一就是在過去談到包括新乙這個他的這個會在這個
transcript.whisperx[453].start 12858.012
transcript.whisperx[453].end 12860.673
transcript.whisperx[453].text 主要是位置的調整啦,計畫我知道啦,位置的調整這個調整以後讓他
transcript.whisperx[454].start 12886.461
transcript.whisperx[454].end 12889.722
transcript.whisperx[454].text 蔡委員發言完畢現在請徐副委員發言徐委員發言完畢之後我們處理臨時提案
transcript.whisperx[455].start 12915.369
transcript.whisperx[455].end 12915.93
transcript.whisperx[455].text 王國材列席報告
transcript.whisperx[456].start 12938.164
transcript.whisperx[456].end 12965.554
transcript.whisperx[456].text 過年期間這個國旅的這個定房率我想從這個媒體報導普遍來講都比以往偏低而且房價高的這個負面新聞非常非常的多那所以尤其墾丁這個首當其從定房率大概只有6成那針對這個現象我先請教部長對於這個整個恆春半島的觀光業的部分部長這邊有沒有什麼樣的看法
transcript.whisperx[457].start 12965.874
transcript.whisperx[457].end 12983.23
transcript.whisperx[457].text 事實上這個更需要報告我等一下我再請那個署長補充事實上恆春半島的觀光是算臺灣裡面人家不管是國內跟國際都想要去的地方那的確在國境開放以後很多人會選擇出國我們現在出國大概是
transcript.whisperx[458].start 12985.232
transcript.whisperx[458].end 13007.421
transcript.whisperx[458].text 出去比進來大概都一倍以上的確有這樣的狀況我想這邊第一個就是對於這些觀光景點包括這些禮數月的福島像我們也有這個一些這個景點的一些建設計畫我想這部分就是比如說過去跟屏東縣政府有很多合作在墾丁這邊的合作包括大盤貫等等的我們持續來加強
transcript.whisperx[459].start 13009.682
transcript.whisperx[459].end 13030.952
transcript.whisperx[459].text 第2個就是說的確在一般民眾在選國旅或是國外他也是真的經過比較比如說包括皇價的課題還有包括光光的心理的部分我想說這部分我們一起來努力讓他的吸引力更提升這個更重要我想這個部分
transcript.whisperx[460].start 13031.312
transcript.whisperx[460].end 13057.4
transcript.whisperx[460].text 部長因為根據我們調了一些統計資料發現就是一般的民眾對於我們南部跟東部這個房價普遍比中北部更高這個負面的訊息一直在媒體上不斷的露出然後我想對業者不盡公平因為我們整個南部的營運的成本以及物料的成本相對性比較高那這部分交通部怎麼樣來協助業者來做解決
transcript.whisperx[461].start 13059.521
transcript.whisperx[461].end 13083.849
transcript.whisperx[461].text 我跟委員這個過去我講過一個但是大家會覺得哇這個是不是第一個就是我真的是瞭解說現在旅館業因為他離烘客人不多都是集中在建烘所以他的房價會在建烘比較高這也是他從經營成本跟收入的考量我們這個可以理解所以我們現在的想法就是說如果國際觀光客進來補離烘的部分
transcript.whisperx[462].start 13085.109
transcript.whisperx[462].end 13108.448
transcript.whisperx[462].text 補完以後我想說也可以跟如果大家真的那時候都賺到錢錢提那為了要吸引更多人在國內旅遊那是不是我們再討論一下這個比如說這個旅館的這個費用有沒有調整的空間但是這個也不是全台灣一起調整應該是某一些就是說他的確有賺到錢那他應該回饋給消費者
transcript.whisperx[463].start 13109.389
transcript.whisperx[463].end 13109.549
transcript.whisperx[463].text 部長我想
transcript.whisperx[464].start 13125.016
transcript.whisperx[464].end 13148.382
transcript.whisperx[464].text 網絡上對這個所謂的一個國旅訂房率偏低也有幾個熱烈討論的一些話題那包含缺工、包含國際旅客不來、包含原物料上漲、包含國內景點沒有吸引力那我想這些的問題部裡面應該要正面對那這個部分是不是請交通部在兩個月之內提出一個完整的配套措施
transcript.whisperx[465].start 13149.102
transcript.whisperx[465].end 13167.011
transcript.whisperx[465].text 好,我是請署長他跟所來他稍微稍微簡單跟你報告一下剛剛謝謝委員之前也特別拜會委員特別提到其實我們希望能夠加大力道把倡議我們南部的這個旅遊的亮點所以我們也希望能夠在今年我們把2024跟2025當作一個雙年的方式來推動我們的
transcript.whisperx[466].start 13171.834
transcript.whisperx[466].end 13173.234
transcript.whisperx[466].text 我們希望能夠加大這個南部的這些亮點
transcript.whisperx[467].start 13200.68
transcript.whisperx[467].end 13227.17
transcript.whisperx[467].text 那麼其次呢我們是希望說旅宿的部分因為雙東的部分啦屏東跟台東的部分確實都是假日比較會到我們的屏東跟台東所以我們怎麼樣去擴大這個非假日的部分的增加一些誘因所以我想說這些我們都是雙管齊下那我們也把新南向的部分
transcript.whisperx[468].start 13228.09
transcript.whisperx[468].end 13240.482
transcript.whisperx[468].text 通過我們的小港機場也當作一個重點那我們希望能夠把這個擴大我們的這個東南亞能夠到我們的臺南高雄屏東做這樣的一個搭配好
transcript.whisperx[469].start 13241.301
transcript.whisperx[469].end 13263.312
transcript.whisperx[469].text 我想部長跟署長我們一起來努力我想業者他們大家也都願意來配合只是說我們政府在整個配套上面還有一些政策上面怎麼樣再釋出更多的利多那這個業者這邊他們都願意來全力配合那另外我再請教一下部長其實除了屏東除了墾丁之外還有一個很重要的觀光景點叫做大鵬灣
transcript.whisperx[470].start 13264.392
transcript.whisperx[470].end 13264.732
transcript.whisperx[470].text 我請署長跟您報告
transcript.whisperx[471].start 13284.565
transcript.whisperx[471].end 13284.725
transcript.whisperx[471].text 委員會主席
transcript.whisperx[472].start 13315.766
transcript.whisperx[472].end 13341.324
transcript.whisperx[472].text 我們現在目前還是按照程序在走這點我大概要提醒一下部長跟署長其實大部分的問題在於說很多廠商願意來但是面對的是我們現在我們很多的公共設施包含水質跟基礎建設我們的處理的速度太慢了造成業者他們不敢來投資那針對這些問題我們部裡面有沒有什麼想法
transcript.whisperx[473].start 13341.964
transcript.whisperx[473].end 13366.993
transcript.whisperx[473].text 這個部分我們已經專案在處理現在大幅改善了那現在主要是還是希望能夠更多的這個法令的鬆綁我們就是盡量都已經都開放了所以這個部分就等招商的部分來看這個投資的這個廠商他們的看法這部分還是請部委員還有署長這邊其他的水準我們都已經持續在做
transcript.whisperx[474].start 13368.753
transcript.whisperx[474].end 13393.082
transcript.whisperx[474].text 另外針對我想屏東這個鐵路高架化並只有做到一部分目前做到潮州到林邊那還有一部分的鐵路高架並沒有完成那也最近幾年也陸陸續續發生很多的鐵路平交道的事故那我需要請教一下部長那究竟我們屏東縣的鐵路全線高架化什麼時候可以完成
transcript.whisperx[475].start 13399.076
transcript.whisperx[475].end 13423.61
transcript.whisperx[475].text 跟委員報告我們現在研究把仿遙車站的部分納入南回平井路段改善的這個可行性研究裡面來去做探討現在主要是說本來也有談到比如說潮州以後要不要多高價但是這個金額非常的高所以現在大部分現在的重點就是仿遙大車站平台這個計畫就仿遙車站的前後來做一個處理目前
transcript.whisperx[476].start 13424.711
transcript.whisperx[476].end 13445.135
transcript.whisperx[476].text 市長不要每次提到經費就講說南部人這個經費要很龐大我們聽不下去啦我們就是有在落水我們也是不能做二等國民啦因為真的每次遇到交通事故甚至等一個交通評價到的一個都要等很久的時間這不是我們民眾人要看到的情形先從黃寮車站的這個人比較多啦從黃寮車站先來處理
transcript.whisperx[477].start 13449.71
transcript.whisperx[477].end 13473.966
transcript.whisperx[477].text 有沒有一個騎乘規劃現在是直接處理高價化高價化的部分仿寮車站高價化仿寮部分先處理對這個我在想我印象中因為7年前又停到而且這個仿寮站那邊會造成所謂的一個淹水的一個很嚴重的一個問題這應該是不是加快來進行他們那個可行性報告已經完成我們加快來審查先從仿寮開始好
transcript.whisperx[478].start 13476.109
transcript.whisperx[478].end 13495.263
transcript.whisperx[478].text 那最後一個問題我想請教部長就是因為我們現在目前的鐵路建設都要拖很久的時間那我想未來有沒有可能走向一個所謂的民營的一個系統來考量就是所謂的一個鐵路路線跟車站的一個規劃的部分
transcript.whisperx[479].start 13496.418
transcript.whisperx[479].end 13516.554
transcript.whisperx[479].text 目前是這樣因為那個我們先第一個是組織改革就台鐵變成現在業業要變成台鐵公司我想就由他先去經營就是說會不會走上民意化現在目前是還是以勾引化勾引公司的方式來處理那這種勾引公司也可以進到很多偏鄉的義務
transcript.whisperx[480].start 13517.315
transcript.whisperx[480].end 13518.235
transcript.whisperx[480].text 許委員發言完畢,現在我們先處理臨時提案
transcript.whisperx[481].start 13546.107
transcript.whisperx[481].end 13575.693
transcript.whisperx[481].text 本日既有6案請議事人員一併宣讀宣讀臨時提案提案1 建請中華電信檢視近5年內虛擬行動網路服務經營者合作廠商是否均符合並持有NCC相關電信執照以及查詢客戶各自外流情況相關補償措施及檢討報告請於兩週內提出提案人委員黃建豪等
transcript.whisperx[482].start 13576.974
transcript.whisperx[482].end 13601.406
transcript.whisperx[482].text 提案2 交通部鐵道局於汐止舉辦基隆捷運公聽會時﹐足以代表汐止民眾對於板南線延伸的期待﹐請交通部折成相關單位於一個月之內﹐啟動臺北捷運板南線延伸汐止之可行性評估﹐以回應民意﹐便利民眾通勤生活密集往來﹐並滿足地方政府都市發展需求﹐提案委員
transcript.whisperx[483].start 13602.106
transcript.whisperx[483].end 13626.773
transcript.whisperx[483].text 料先詳等提案3桃園機場捷運預估上需9列車直達6列普通車才能符合未來季節營運需求原要求交通部及相關單位1月2個月內競速與桃園市政府達成購車協議一例未來桃園機場捷運永續發展並提升旅客服務量能提案委員盧明哲等
transcript.whisperx[484].start 13627.293
transcript.whisperx[484].end 13653.938
transcript.whisperx[484].text 提案4近年來常有貨運車行將貨車抵押貸款以致糾紛平船建請交通部公路局參考土地法第79條之一規定要求大貨車銬行契約及相關貸款行為因送至監理機關核備並由監理機關實質審查後通知車主以保障車主權益提案由委員林俊憲等
transcript.whisperx[485].start 13656.448
transcript.whisperx[485].end 13683.591
transcript.whisperx[485].text 提案5在中央地方共同建設之前提下提案要求交通部於一個月內邀集新北桃園市府討論督促提出林口龜山輕軌建設可行性評估計畫作為整體計畫之開展並回復提案委員該建設計畫注目時間表展現中央與地方共同推動大眾運輸之積極態度提案人委員林佩祥等
transcript.whisperx[486].start 13684.906
transcript.whisperx[486].end 13713.437
transcript.whisperx[486].text 提案6台中捷運南線延伸到南投縣為南投縣民期盼之重大交通建設亦為總統大選各陣營資重要主張原此行政面積交通部應盡數協助並早日合併台中捷運延伸至南投要求交通部與一個月內提出規劃其成並向本委員會報告以完善南投台中軌道交通米坪城鄉差距促進南投產業發展
transcript.whisperx[487].start 13714.577
transcript.whisperx[487].end 13716.98
transcript.whisperx[487].text 第2委員由吳浩等宣布完畢
transcript.whisperx[488].start 13734.791
transcript.whisperx[488].end 13754.759
transcript.whisperx[488].text 報告主席有關黃委員等提案的案由建議做以下的修改之因電信詐騙頻傳MVNO廠商若有涉入詐騙案件可能導致個資外流句號
transcript.whisperx[489].start 13755.939
transcript.whisperx[489].end 13781.311
transcript.whisperx[489].text 請中華電信檢視近5年內 NVNO 虛擬行動網路服務經營者 合作廠商確認合作廠商是否均符合契約要求與NCC相關規範句號 NVNO若有違反規定 造成各自外洩 應擬拒
transcript.whisperx[490].start 13785.31
transcript.whisperx[490].end 13802.725
transcript.whisperx[490].text 相關補償措施句號請中華電信於一個月內提出檢討報告那報告主席剛才有先跟這個黃委員等進行溝通獲得他的這個同意以上報告黃建豪委員在現場嘛來
transcript.whisperx[491].start 13805.487
transcript.whisperx[491].end 13806.908
transcript.whisperx[491].text 請說坐著就可以坐著
transcript.whisperx[492].start 13828.114
transcript.whisperx[492].end 13829.635
transcript.whisperx[492].text 中華電信只是電信三雄之一,另外兩雄不歸他管
transcript.whisperx[493].start 13855.056
transcript.whisperx[493].end 13876.702
transcript.whisperx[493].text 好 那我們就按照這個修正文字通過了好 修正通過第二案 來請說明交通部請說明報告委員 有關料委員提出的提示條我們遵照辦理遵照辦理 那通過現在處理第三案 來交通部說明
transcript.whisperx[494].start 13877.301
transcript.whisperx[494].end 13903.431
transcript.whisperx[494].text 我先向盧委員說明以後盧委員也同意做一些文字修正修正的部分是有關嚴要求交通局改成嚴要求交通部那另外競速與桃園市政府達成購車協議改成競速與桃園市政府積極協議以上那盧委員同意好修正通過現在處理第4案
transcript.whisperx[495].start 13905.317
transcript.whisperx[495].end 13929.487
transcript.whisperx[495].text 第4案的部分已經有跟提案委員、鄰居縣委員這一個報告那做一些文字的修正就是倒數第二行就是這一個相關貸款行為應送至監理機關註記那後面的核被並由監理機關實施審查後這個刪除那改為就是註記然後次日通知契約車主
transcript.whisperx[496].start 13931.769
transcript.whisperx[496].end 13957.245
transcript.whisperx[496].text 保障車主權益後面再加一句話就是一個月內完成作業流程規劃以上報告有跟林委員做過報告他接受嗎?接受了徐委員剛才林委員的提案有跟你討論嗎?沒問題那就修正通過接下來進行第5案
transcript.whisperx[497].start 13961.463
transcript.whisperx[497].end 13962.743
transcript.whisperx[497].text 來,請交通部部長王國材列席報告業務概況來,紅衛員有沒有意見怎麼樣,剛剛講說
transcript.whisperx[498].start 13990.53
transcript.whisperx[498].end 14008.019
transcript.whisperx[498].text 來可以多久時間可以好兩個月內嗎好兩個月開會了好不好我想我們也理解就是說有些時候這個交通軌道建設是地方政府這邊需要主動的一個提報但是就是說看到尤其是去年王國材部長來到我們林口地區來做這個交通
transcript.whisperx[499].start 14008.439
transcript.whisperx[499].end 14008.699
transcript.whisperx[499].text 李委員﹖
transcript.whisperx[500].start 14034.476
transcript.whisperx[500].end 14061.995
transcript.whisperx[500].text 謝謝主席這本席身為龜山的民意代表我們非常同意孟凱委員的提案那其實台灣市政府針對這樣子的輕軌路網的延伸應該也有一些初步的想法跟概念當然是交通建設知識體大尤其又是一個跨域的題目我們當然希望就是說中央在裡面也扮演積極的角色所以希望就是說盡快剛剛我們同意兩個月之內先來做一個大體討論嘛讓這個案子有具體的進度透過大眾運輸的方式改善林口龜山大台地塞車的問題以上謝謝
transcript.whisperx[501].start 14064.516
transcript.whisperx[501].end 14067.158
transcript.whisperx[501].text 修正通過現在進行第6案來交通部說明
transcript.whisperx[502].start 14092.712
transcript.whisperx[502].end 14115.692
transcript.whisperx[502].text 跟委員會報告剛才跟有委員說明以後依據有委員的意見修正文字原始行政院交通部因競速協助並早日核定台中捷運延伸至南投以南投縣政府提出南投縣軌道系統整體路網評估計畫後競速核定並
transcript.whisperx[503].start 14118.074
transcript.whisperx[503].end 14142.315
transcript.whisperx[503].text 經費協助請交通部以2個月內提出規劃期程並向本委會提出書面報告來 余委員有沒有意見謝謝召委那補充一下因為身為南投選出來的民意代表那在這個部分的話我覺得不行要有宣誓的意義同時也必須要有實際的進度還在看到
transcript.whisperx[504].start 14142.875
transcript.whisperx[504].end 14143.135
transcript.whisperx[504].text 修正通過
transcript.whisperx[505].start 14170.87
transcript.whisperx[505].end 14195.696
transcript.whisperx[505].text 臨時提案處理完畢如有委員對上述提案補簽列入記錄並刊登公報現在請許智傑委員繼續發言許委員發言完畢之後我們中午會給大家吃飯的時間下午1點半繼續開會
transcript.whisperx[506].start 14201.579
transcript.whisperx[506].end 14219.346
transcript.whisperx[506].text 那是在剛才宣布之前阿沒關係那我們就等紅委員阿我們就第一次的這種業務報告阿就特別再給紅委員發言完畢之後阿再來做休息吃飯請徐委員發言
transcript.whisperx[507].start 14226.829
transcript.whisperx[507].end 14231.172
transcript.whisperx[507].text 謝謝趙偉,我們先請明堂局長請明堂局何局長何局長局長那個
transcript.whisperx[508].start 14255.933
transcript.whisperx[508].end 14277.726
transcript.whisperx[508].text 我們桃園機場塞機我想局長應該很清楚我一個助理從那個雜放回來就耽擱了3個小時那桃園機場這個跑道維修也是事先就知道的事那這些事情為什麼不能事先防範呢所以呢我想
transcript.whisperx[509].start 14279.67
transcript.whisperx[509].end 14306.078
transcript.whisperx[509].text 我們要替高雄再做一次的呼籲你提早規劃到我們高雄的航班應該就可以少掉這些問題為什麼不能處理呢對我先舉個例子你看我們高雄非日本非韓國的載客率都比桃園機場還高所以我們就覺得說為什麼那邊塞的鑰匙這邊沒有航班來
transcript.whisperx[510].start 14307.739
transcript.whisperx[510].end 14308.059
transcript.whisperx[510].text 好,我們看下一頁
transcript.whisperx[511].start 14331.503
transcript.whisperx[511].end 14354.365
transcript.whisperx[511].text 事實上交通部所做的事我們也要表示肯定就是說桃園到布拉格、高雄到新加坡、沖繩包括我們的高雄到茨城的航班高雄到靜岡我們現在是獨飛的航線那到首爾、金浦、越南、香港等有很多的廉價航空
transcript.whisperx[512].start 14356.627
transcript.whisperx[512].end 14381.278
transcript.whisperx[512].text 包括新加坡沖繩這個也謝謝啦那我們也就是說其實高雄並不是沒有潛力那我們也希望說交通部多重視高雄民航局多重視高雄能夠讓我們高雄的班機可以盡快到位我們再看下一頁我們高雄爭取的航線我們先講就是321
transcript.whisperx[513].start 14383.308
transcript.whisperx[513].end 14388.313
transcript.whisperx[513].text 九州的北海道的雜訪從去年講到現在還沒有完成
transcript.whisperx[514].start 14389.778
transcript.whisperx[514].end 14418.389
transcript.whisperx[514].text 那九州熊本市上熊本市跟我們高雄市姐妹是我們兩個城市非常的好熊本市長也都到高雄兩三次了那結果都沒有直飛的航班那包括韓國的寄州照所以呢這個部分日韓的航線比我們高雄多8倍那我們的載客率又比桃園還要高所以是不是這個地方可以盡快來做一個調整讓我們高雄有更多的航班
transcript.whisperx[515].start 14419.709
transcript.whisperx[515].end 14439.043
transcript.whisperx[515].text 當然就是馬祖蘭干他有困難度但是我們還是希望再要求美國洛杉磯事實上可以看到這個很多班次很多班次現在一個月好像300多班而且在增加中那為什麼一直都沒有機會去做一個大部分的調整
transcript.whisperx[516].start 14440.104
transcript.whisperx[516].end 14459.107
transcript.whisperx[516].text 包括我們觀光局現在改成觀光署也新設了好幾個辦事處像我們的雅加達甚至釜山甚至孟買現在因為觀光局升格為觀光署那剩下很多的辦事處但是正在這些辦事處相對的航班都沒有調整
transcript.whisperx[517].start 14460.527
transcript.whisperx[517].end 14474.552
transcript.whisperx[517].text 所以我也再一次的呼籲就是我們高雄飛印尼事實上這是可以直飛的不用每一次高雄人都一定要舟車勞頓到桃園那另外當然印度你看這個十幾億的人口因為我們竟然沒有直飛
transcript.whisperx[518].start 14476.152
transcript.whisperx[518].end 14502.28
transcript.whisperx[518].text 當然這個部分是不是規劃桃園先行我們也不會說高雄先行這整個台灣做考量桃園先行這我們是可以考慮的但是總是要設計這樣子一個直飛的路線所以這個航線的規劃我們也知道現在就是我們的那個高雄機場也在改建當中所以我是不是可以具體的就是要求就是民航局
transcript.whisperx[519].start 14504.11
transcript.whisperx[519].end 14512.422
transcript.whisperx[519].text 跟交通部是不是可以做一個盡快的調整以及不然你就替我們高雄的所有的宅客做一個書面報告、評估報告這樣子OK嗎?
transcript.whisperx[520].start 14516.43
transcript.whisperx[520].end 14542.043
transcript.whisperx[520].text 想跟委員報告確實在高雄這邊的航班恢復其實根據我們的統計基本上如果扣除大陸然後還有日本因為他地勤運輸等等恢復比較慢有恢復的我都知道啦我現在就是說我看到這個塞機覺得心痛啦要怎麼樣去調整現在已經有調整了那我們也感謝啦我現在就是我們要求的像熊本、雜黃、濟州島
transcript.whisperx[521].start 14545.252
transcript.whisperx[521].end 14552.46
transcript.whisperx[521].text 這個我們因應的盼竊嘛因應期盼嘛但是還那個看不到我們希望的成果
transcript.whisperx[522].start 14553.328
transcript.whisperx[522].end 14582.207
transcript.whisperx[522].text 我想日本的部分就剛剛講他恢復的比較慢因為主要是受限於他們的地勤的代理的量能尤其熊本這一邊也是一樣那至於韓國東南亞其實已經都恢復到95%那當然...沒關係因為我時間有限你就...你的解釋我大概都聽過了之前也都解釋過了那能夠調配的就請民航局盡快跟華航或者是日本相關的地方就是盡快做調配
transcript.whisperx[523].start 14583.528
transcript.whisperx[523].end 14585.909
transcript.whisperx[523].text 下一張,這個圖片是哪裡你知道嗎?臺灣機場,部長知道齁?
transcript.whisperx[524].start 14609.485
transcript.whisperx[524].end 14628.342
transcript.whisperx[524].text 我們高雄好像沒有這一種那個膠囊旅館所以我要求的是現在高雄新航廈我們在那個重蓋嘛對不對我們就是辦辦施工嘛但是這個有沒有規劃進去桃園機場因為它是目前的規劃裡面規劃中
transcript.whisperx[525].start 14632.426
transcript.whisperx[525].end 14642.045
transcript.whisperx[525].text 我們在檢討,因為桃園機場是24小時的機場是啦,24小時就比較不用住啊我們那個中間正好有那個消遣時間正好住進來正好啊
transcript.whisperx[526].start 14643.888
transcript.whisperx[526].end 14670.271
transcript.whisperx[526].text 因為高雄比較多是區域線的啦他可能進來所以就是因為你航班規劃的不夠才會變成區域線嘛所以你如果規劃的所以我就要求是說那個部長有聽到啦就民航局做一個整體的我們的運量跟這些航班的調配那包括像這一種交通旅館現在都已經要新蓋為什麼不把它設計進去呢難道我們永遠就是要當作宵禁所以很多班次就不來所以就算了嗎
transcript.whisperx[527].start 14673.88
transcript.whisperx[527].end 14687.83
transcript.whisperx[527].text 所以高雄過境江南旅館我覺得是必要的要把它一起思考進來然後就整個將來南北的調配我希望說棉行局跟交通部可以做一下規劃好不好我們現在請部長請王部長委員好部長都有聽到啦剛剛讓你休息一下主要就是說現在你起來就說好就好
transcript.whisperx[528].start 14704.332
transcript.whisperx[528].end 14731.199
transcript.whisperx[528].text 就是說那個高雄有宵禁嘛那晚上太晚就睡覺了加上旅館隔天再走這樣有必要嘛對不對看起來是蠻合理的對啊很合理啊所以希望說民航局這個部分在航廈的部分尤其現在正在施工當中正在規劃嘛那趕快要把這個東西放進來不然以後還是沒有啊好我請他們研究啦對啊這個想法應該蠻好的啦希望說那個交通部跟民航局可以把它規劃進來
transcript.whisperx[529].start 14733.279
transcript.whisperx[529].end 14760.207
transcript.whisperx[529].text 包括整個航班我們的運量跟航班希望那個一個月左右給我一份評估報告好不好好你們用心去評估啦不然每一次我不是說單點頭痛一頭腳痛一腳每次都講一個點你們做一個更詳細的完整的評估這樣子能夠讓高雄有更大的運量這些部分我們就提前把它做一個整體大量的評估好不好是好現在那其他可以先休息馬上部長
transcript.whisperx[530].start 14761.243
transcript.whisperx[530].end 14765.953
transcript.whisperx[530].text 部長那個我們高雄的交通真的是也要看得很長遠啦那
transcript.whisperx[531].start 14768.513
transcript.whisperx[531].end 14794.955
transcript.whisperx[531].text 我想到底像台北,台北其實它的高鐵它有三個核心就是台北車站、板橋車站跟南港車站它是東西跟包括原的縣區都有那我們高雄現在只有一個左營左營將來你在像看往後50年恐怕它的運量都會集中在左營那很可怕的那整個南高雄呢我覺得會稍微的會
transcript.whisperx[532].start 14797.642
transcript.whisperx[532].end 14799.863
transcript.whisperx[532].text 因為我們原高雄市區人口眾多
transcript.whisperx[533].start 14826.363
transcript.whisperx[533].end 14842.194
transcript.whisperx[533].text 那因為高雄市區我認為你至少要一或二個高鐵站再進來就像台北我說台北有三核心高雄現在只有一核心啦你這樣只有一核心那個感覺上你往後看50年我是覺得這樣子的思考是不夠的
transcript.whisperx[534].start 14843.38
transcript.whisperx[534].end 14859.605
transcript.whisperx[534].text 現在這樣就是說如果要進入市區當然第一個是進來的這個施工期啦施工的對於市區的影響那當然我們也可以從很多新的工法比如說前頓工法等等來避免第二個是我覺得面臨最大是拆遷
transcript.whisperx[535].start 14861.485
transcript.whisperx[535].end 14887.96
transcript.whisperx[535].text 我覺得拆遷這個課題就是說現在沒有進去這個不拆遷等進來拆遷對於這個市民有沒有辦法接受所以我覺得這個需要一個包括市政府跟可能當地市民溝通的一個過程這是一個大的概念就是說要做一個整體的統合的思考我們再看下一張我們盡快時間已經到了你看我們的台鐵新左營站跟台鐵藍紙站那
transcript.whisperx[536].start 14889.501
transcript.whisperx[536].end 14905.112
transcript.whisperx[536].text 澆進去的這個紅線的捷運的部分南子產業園區的部分將來所有的台積電進駐跟他的所有的產業鏈進駐通通在這裡只靠一個捷運紅線你想一想到時候這邊會急死啊
transcript.whisperx[537].start 14907.424
transcript.whisperx[537].end 14927.027
transcript.whisperx[537].text 所以就是說這裡是不是有機會我們台鐵既然我們的籃子百慕打這邊要立體化對不對是不是就是可以在解決籃子百慕打的問題的同時在中間再設一站籃子產業園區的台鐵站那我們鳳山人如果在
transcript.whisperx[538].start 14927.828
transcript.whisperx[538].end 14939.299
transcript.whisperx[538].text 到台積電上班啦﹖或者是屏東人到台積電上班啦﹖他就可以直接坐台鐵﹖就直接坐到楠梓產業園去這邊下車﹖他就不用再轉車﹖那就差一個站﹖那有沒有可能這裡就說
transcript.whisperx[539].start 14941.921
transcript.whisperx[539].end 14963.741
transcript.whisperx[539].text 來增加這個部分現在那個高雄市政府沒有補助一個可行性的經費給他他正在做這是王北營生男子的這樣的一個鐵路高架化的這個可行性研究這個由他們在可行性裡面評估是不是要增加通勤車站我想這部分我們會跟高雄市政府提出來以後我們跟他做一些討論
transcript.whisperx[540].start 14964.542
transcript.whisperx[540].end 14991.513
transcript.whisperx[540].text 我想最後一個結論因為時間到了主席站起來了那個我們看一下就是說整個高雄市未來的所有的交通的規劃除了剛才我們講的飛機的航班跟評估希望部長跟民進黨局督促我們一起來努力規劃的更多更好之外那我們的鐵路就包括高鐵包括台鐵包括捷運我想這些東西
transcript.whisperx[541].start 14992.313
transcript.whisperx[541].end 15020.398
transcript.whisperx[541].text 不要一段一段啦那比如說我再舉個例子就我們的高鐵假設是左營一個核心再加上高雄跟鳳山兩個就變成三個核心那如果剛剛局長那個部長提到就是說在這個設計規劃上也許人民會有不同的意見那有沒有可能配合我們現在捷運黃線要搭要蓋嘛對不對也是要挖地下嘛那我如果把高鐵接捷運黃線如果說我再接一個衛武營
transcript.whisperx[542].start 15021.994
transcript.whisperx[542].end 15051.714
transcript.whisperx[542].text 假設啦你如果三核心高雄車站那邊有困難或風扇車站有困難那你就如果說左營直接交到衛委員這樣子就雙核心這樣子一個思考搭配現在黃線的思考是不是也有機會也就是說請部長做一下比較更通盤的考量啦那可能一個方案兩個方案三個方案是不是做一下也作為交通部做一下評估讓我們以高雄50年後的發展可以讓他走得更順暢走得更好
transcript.whisperx[543].start 15051.994
transcript.whisperx[543].end 15053.055
transcript.whisperx[543].text 主席謝謝,麻煩請王國材部長
transcript.whisperx[544].start 15085.274
transcript.whisperx[544].end 15108.242
transcript.whisperx[544].text 好部長好部長本期有注意到說侯友宜市長日前有講說有跟您溝通討論包括說巴黎輕軌及地方的建設是不是有見過面討論過那有見過面那目前不管是我們新北地區或說整個臺北地區其實有幾個重大公共建設我們也都需要持續的推動所以感謝剛剛我們這邊鐵道局承諾說兩個月內要召開這個相關的一個討論我想先請教
transcript.whisperx[545].start 15114.944
transcript.whisperx[545].end 15130.764
transcript.whisperx[545].text 不管是巴黎、輕軌目前那一天討論跟侯友宜市長這邊講的怎麼樣巴黎、輕軌因為在國外的審查意見是認為淡海二期要先做所以我們現在是優先審查那個淡海二期淡海二期是什麼部分
transcript.whisperx[546].start 15136.026
transcript.whisperx[546].end 15160.044
transcript.whisperx[546].text 藍海線二期藍海線二期跟巴黎輕軌其實是兩個不同的建設啊都是巴黎輕軌嗎會接過來會接過來如果你沒有接的話那過來沒辦法接所以第一部分我們先來處理這一個然後第二個我是覺得在整個巴黎或是這個藍海輕軌二期都很重要藍海線二期什麼時候可以評估確認
transcript.whisperx[547].start 15163.075
transcript.whisperx[547].end 15183.55
transcript.whisperx[547].text 這也講了非常久了我們這個月會召開部裡面的審查委員會這月會召開部裡面的審查會議另外有泰坂輕軌因為武泰輕軌在之前行政院長也大動作的到我們地方去講說通過可行性評估但其實我們認為說更重要地方需求是泰坂輕軌泰山道板橋的泰坂輕軌
transcript.whisperx[548].start 15186.62
transcript.whisperx[548].end 15212.625
transcript.whisperx[548].text 現在應該是可行性現在是新北市政府市府要送可行性研究要進來我們部內嘛是的,鐵道局已經召開過研商的會議那現在請新北市政府在做報告的修正當中他可行性提出來了啦我們給他一個初步意見比如說中間有談到一些支線有些委員是提到支線看他要不要能放放進考慮等等的我們給他一些意見讓他在修正報告中好
transcript.whisperx[549].start 15213.385
transcript.whisperx[549].end 15229.232
transcript.whisperx[549].text 本席為什麼今天提到這麼重要就是不管是巴黎輕軌不管是泰坂輕軌不管是剛剛講的林口龜山輕軌或者是甚至我們現在講在國道上面有林口交流道、五谷交流道都已經在施工那本席也非常關心圓山交流道什麼時候施工
transcript.whisperx[550].start 15229.932
transcript.whisperx[550].end 15230.612
transcript.whisperx[550].text 改善工程
transcript.whisperx[551].start 15260.212
transcript.whisperx[551].end 15282.099
transcript.whisperx[551].text 媒體上有沒有看到你說那個陶淇毅的檢討沒有進去因為這個報告早就印好了所以您為我建議所以早就印好就不能改部長我建議你現在不要嬉皮笑臉因為這個是國人最影響最深我相信從早上到現在已經有非常多交通委員會委員在跟您要求
transcript.whisperx[552].start 15284.095
transcript.whisperx[552].end 15305.637
transcript.whisperx[552].text 報告是禮拜三這個是上禮拜召委牌的專案報告但是大家國人都在看你第一天進來到國會拿出什麼樣的態度交通部用什麼樣的立場來去面對現在影響到國人那麼多問題的狀況而桃園機場在這一次我們講說為什麼大家會那麼的憤怒就是因為他不是一個天災啊
transcript.whisperx[553].start 15306.678
transcript.whisperx[553].end 15326.973
transcript.whisperx[553].text 沒有天氣因素沒有因為說暴風雨沒有因為說大霧完完全全是一個人禍所以造成說調配不靈或是整個大塞機的狀況那這樣塞機的狀況不是我們事先預排的嗎是啊過去有沒有稅修過有啊那為什麼過去稅修不會發生這樣的情況
transcript.whisperx[554].start 15329.651
transcript.whisperx[554].end 15356.01
transcript.whisperx[554].text 今天早上,對,各位委員報告我不是的意思,就是報告出來但是我有談到今天大部分的委員都在問這個問題我們也做了很多答覆我想請教,一個月內會有懲處的報告那有沒有包括有人要負責下台?有沒有政治責任?我們初步是這個由我們行政司做一個評估有沒有政治責任嗎?
transcript.whisperx[555].start 15357.54
transcript.whisperx[555].end 15382.61
transcript.whisperx[555].text 我們現在在問的就是說完完全全這一個事件就是人禍因為沒有天氣沒有任何不好的情況如果今天有大霧大風沒有那預想就是沒有超前部署嘛那有沒有政治責任還是一個月後大家也忘了反正現在媒體有其他的焦點關心那塞車塞機也已經過了
transcript.whisperx[556].start 15384.639
transcript.whisperx[556].end 15409.015
transcript.whisperx[556].text 有沒有政治責任有沒有人要負政治責任我想政治責任當然是政務官包括我都要負啦但是就是說這整個的流程也包括到很多這個相關的主管是不是在處理這件事情有警覺性這個事我想是不是您自己也講了嘛這一次最重要的就是因為大家沒有看重嘛沒有警覺嘛所以才造成那麼大問題嘛是不是會來懲處然後這個一個月內會跟大家做一個報告部長
transcript.whisperx[557].start 15415.285
transcript.whisperx[557].end 15428.722
transcript.whisperx[557].text 你覺得你的懲處讓國人能夠接受嗎來我再問啦你如果說要這樣的話那我再請教這一次塞機事件造成的民眾航空公司損失有多大
transcript.whisperx[558].start 15430.485
transcript.whisperx[558].end 15456.588
transcript.whisperx[558].text 現在大概有總共差不多快700架有大概47%是影響現在我現在請他們講我想問我們到現在也已經三天了我們有沒有去算過說這一次因為塞機事件不管是航班的調度不管是旅客的轉機沒有轉上不管是航空公司油料的問題到最後這一次的塞機事件影響有多大損失有多少
transcript.whisperx[559].start 15457.822
transcript.whisperx[559].end 15464.889
transcript.whisperx[559].text 跟委員報告目前我們正在要跟航空公司來做統計那這些資料我們現在還沒有所以都還沒有還沒有統計出來所以都還沒有已經幾天了什麼時候會算出來
transcript.whisperx[560].start 15471.673
transcript.whisperx[560].end 15476.219
transcript.whisperx[560].text 我們下個禮拜會跟航空公司做這個部分做詳細的討論目前已經在延長當中所以不覺得太慢了嗎
transcript.whisperx[561].start 15489.721
transcript.whisperx[561].end 15490.321
transcript.whisperx[561].text 目前還沒有統計出來
transcript.whisperx[562].start 15521.235
transcript.whisperx[562].end 15535.097
transcript.whisperx[562].text 為什麼本席會講說到底是麻木還是白木就是因為覺得在這件事情上面態度沒有展現出來你在事前沒有準備好 這不是第一次的稅休 沒有準備好態度
transcript.whisperx[563].start 15536.328
transcript.whisperx[563].end 15562.129
transcript.whisperx[563].text 然後你現在所有人大家炸鍋之後到目前為止還不知道說到底損失了多少好像逃過新的鬼換言兩三天過了還有部長那天還可以下令是說我們稅收這是安全的問題嘛你可以下令說提早16個小時加速那我們國內也會問啊如果說可以提早16個小時那當初明顯就是有放寬嘛那如果說沒有放寬那你提早16個小時有沒有安全的疑慮
transcript.whisperx[564].start 15563.257
transcript.whisperx[564].end 15579.869
transcript.whisperx[564].text 所以怎麼講都認為說在這件事情上面沒有展現出專業變成是民怨沸騰的時候趕快大官再出來然後用人為的狀況來去做一個調配那現在後續這一個事件到底還有影響多廣多深也不知道
transcript.whisperx[565].start 15580.916
transcript.whisperx[565].end 15594.353
transcript.whisperx[565].text 反正認定的心態就是今天來被罵一罵媒體兩三天之後不報道了然後一個月後我們就看到網站上面出來一個新聞稿或出來一個公告有人寄大過有人寄警告
transcript.whisperx[566].start 15595.593
transcript.whisperx[566].end 15614.176
transcript.whisperx[566].text 就這樣沒有任何政治責任這是不是就是現在政府要面對的問題的處理態度看起來就是啊我們現在已經徹底在做檢討跟改善嘛也徹底檢討改善是你嘴巴講但是國內沒有感受到我到目前為止我問的這些問題你們都答不出來
transcript.whisperx[567].start 15615.177
transcript.whisperx[567].end 15638.457
transcript.whisperx[567].text 這叫什麼檢討?這叫什麼改善?不是答不出來我們現在有時間讓他們跟比如說陪長的部分要跟航空公司來討論嘛然後標準座位程序他們也在下禮拜會把整個標準座位程序做一個優化提出來我想這部分都有一個時間那我跟委員報告也不是說我們這件事情把它今天當一天這個是很嚴肅的事情
transcript.whisperx[568].start 15638.797
transcript.whisperx[568].end 15663.715
transcript.whisperx[568].text 當然很嚴肅所以這是為什麼本席來講就是說到底是麻木還是白木如果說這件事情真的那麼嚴肅我說實在今天你業務報告裡面多一句話多兩句話認為是說真的沒有我們還有做不出的地方要檢討要改進我常常講交通問題沒有最好只有更好就是因為大家都是用路人大家都是在交通運具上面會使用到的人沒有誰比較大
transcript.whisperx[569].start 15665.011
transcript.whisperx[569].end 15691.221
transcript.whisperx[569].text 你會用飛機委員會用飛機你會用馬路委員會用馬路所以交通問題大家一起面對解決但是你們通篇的業務報告不管是口頭報告、書面報告都是只有好棒棒也不會這樣你這樣子國人要怎麼信任你說實在部長主席已經站起來了我很誠摯的講在整個民進黨政府部會裡面我覺得你還算是有專業的人
transcript.whisperx[570].start 15692.796
transcript.whisperx[570].end 15718.102
transcript.whisperx[570].text 很誠摯地講我覺得你還算是有肩膀的人如果比起其他民怨來講民怨部會來講但是本期真的不希望這件事情會變成是壓垮你最後一根稻草我也希望民進黨政府有多一些有一點專業的人有一點肩膀的人有一點想要平衡地方發展發展建設的人而不是都充斥著酬庸或是充斥著不專業的一個部會首長
transcript.whisperx[571].start 15719.079
transcript.whisperx[571].end 15738.786
transcript.whisperx[571].text 所以這是本席給你最大的一個忠告好好把這件事情處理好並且我們國人都在看到底你這件事情要怎麼善後我這樣好不好就是全部處理完我們會做一個對外的報告請王部長跟紅委員接下來可以再私下對話好謝謝紅委員發言完畢
transcript.whisperx[572].start 15746.141
transcript.whisperx[572].end 15748.934
transcript.whisperx[572].text 好,我們現在休息,吃飯,下午1點半繼續開會
transcript.whisperx[573].start 15758.592
transcript.whisperx[573].end 15780.06
transcript.whisperx[573].text 議員會議員會議
transcript.whisperx[574].start 15784.404
transcript.whisperx[574].end 15784.584
transcript.whisperx[574].text 委員會委員會委員會
transcript.whisperx[575].start 15802.626
transcript.whisperx[575].end 15802.886
transcript.whisperx[575].text 委員會主席
transcript.whisperx[576].start 15824.002
transcript.whisperx[576].end 15843.592
transcript.whisperx[576].text 議員會議員議員會議
transcript.whisperx[577].start 15845.084
transcript.whisperx[577].end 15845.684
transcript.whisperx[577].text 委員會委員會委員會
transcript.whisperx[578].start 15874.579
transcript.whisperx[578].end 15875.62
transcript.whisperx[578].text 委員會委員會委員會
transcript.whisperx[579].start 15916.826
transcript.whisperx[579].end 15923.489
transcript.whisperx[579].text 委員會委員會委員會
transcript.whisperx[580].start 15930.947
transcript.whisperx[580].end 15955.077
transcript.whisperx[580].text 議員會議員會議員會議員會議
transcript.whisperx[581].start 15963.088
transcript.whisperx[581].end 15971.113
transcript.whisperx[581].text 委員會委員會委員會委員會委員會委員會
transcript.whisperx[582].start 15993.167
transcript.whisperx[582].end 16006.377
transcript.whisperx[582].text 委員會委員會委員會
transcript.whisperx[583].start 16008.951
transcript.whisperx[583].end 16009.712
transcript.whisperx[583].text 委員會委員會委員會
transcript.whisperx[584].start 16037.602
transcript.whisperx[584].end 16063.865
transcript.whisperx[584].text 議員議員議員議員
transcript.whisperx[585].start 16064.707
transcript.whisperx[585].end 16065.268
transcript.whisperx[585].text 委員會主席
transcript.whisperx[586].start 16075.162
transcript.whisperx[586].end 16105.162
transcript.whisperx[586].text 議員會議員會議
transcript.whisperx[587].start 16107.605
transcript.whisperx[587].end 16108.466
transcript.whisperx[587].text 委員會主席
transcript.whisperx[588].start 16146.694
transcript.whisperx[588].end 16154.577
transcript.whisperx[588].text 委員會主席
transcript.whisperx[589].start 16161.493
transcript.whisperx[589].end 16173.936
transcript.whisperx[589].text 法定人數不足
transcript.whisperx[590].start 18023.902
transcript.whisperx[590].end 18035.357
transcript.whisperx[590].text 好繼續開會現在請鐘嘉斌委員發言來慢慢來哈
transcript.whisperx[591].start 18037.319
transcript.whisperx[591].end 18055.356
transcript.whisperx[591].text 主席、加農委員先進、列席的政府基本法官員、會長、公眾夥伴、媒體記者女士先生那麼有請我們交通部王部長請王部長還有機場規劃應該是哪一個?行政司嗎?民航局民航局何局長何局長好
transcript.whisperx[592].start 18057.922
transcript.whisperx[592].end 18077.55
transcript.whisperx[592].text 市長好,在上週我和高雄的邱志偉委員我們開了一個記者會就是說高雄準備好的煤它的高是高低的高熊是大黑熊的熊你知道那個熊是指哪一個地方嗎?熊本沒有錯高雄
transcript.whisperx[593].start 18078.717
transcript.whisperx[593].end 18102.157
transcript.whisperx[593].text 跟高雄跟熊本這兩個城際交通因著台積電將會成為一個重要的結盟那麼台積電進駐熊本除了貨之外還有人家屬對不對?台積電很多員工都要出到熊本去啊那你認為小港機場準備好了沒有?我們當然硬體準備好只是說航線現在慢慢在恢復中所以你認為小港機場的輸運人士未來在應付這個是足夠的囉?
transcript.whisperx[594].start 18103.786
transcript.whisperx[594].end 18132.156
transcript.whisperx[594].text 目前過,因為現在還沒有完全恢復還沒有完全恢復,沒有恢復是需求還沒有恢復啊我說機場的運能,運能準備好了沒?好來我們看一下,你慢慢想往下看齁這個在疫情兩年期間的你說有沒有恢復?國航、國籍航空公司你認為華航跟長榮在疫情間是賠本還是賺錢?賺錢賺錢靠什麼賺錢?貨運靠貨運沒有錯華航在一年他的貨運是他的客運的20倍
transcript.whisperx[595].start 18133.783
transcript.whisperx[595].end 18162.91
transcript.whisperx[595].text 他的貨運和他的11年大概是大概將近5倍我們看長榮長榮在這兩年期間下一頁長榮呢他在10年的時候呢他的貨運是客運的10倍他的11年隔年貨運是客運的將近也8、9倍所以這說明了什麼說明了在疫情之後可能這個情況目前我們國航的貨運跟客運的占比是不是貨運還多客運一些些
transcript.whisperx[596].start 18166.534
transcript.whisperx[596].end 18190.294
transcript.whisperx[596].text 我們來看一下桃園機場來往下桃園各機場的客貨運的統計客運的部分在全台灣的機場當中桃園的運能佔了快一半53%超過一半貨運呢幾乎都在桃園那表示什麼台灣的航空貨運出口如果沒有桃園就本完了你同不同意
transcript.whisperx[597].start 18191.85
transcript.whisperx[597].end 18196.014
transcript.whisperx[597].text 台灣台積電半導體產業你覺得重心有沒有往南移?你認為目前台灣的晶片生產北部多還南部多?
transcript.whisperx[598].start 18209.236
transcript.whisperx[598].end 18232.017
transcript.whisperx[598].text 應該是慢慢往南移啊慢慢往南移我告訴你我早上問過國發會主委他說目前南科的產能產量已經超過了竹科了那表示什麼半導體晶片的出口他們是往哪個機場送你覺得他現在應該是桃園機場往桃園機場送有3、4個小時在高速公路上所以當桃園機場發生這個問題我們往下看
transcript.whisperx[599].start 18234.636
transcript.whisperx[599].end 18234.656
transcript.whisperx[599].text 對嘛!
transcript.whisperx[600].start 18246.86
transcript.whisperx[600].end 18273.192
transcript.whisperx[600].text 所以現在桃園塞機不是影響到客運而已是連我們國家重要的護國神山臺積電臺灣的半導體產業在南部半壁江山他往北送送不出去還要再卡在高速公路上來我們請教一個問題那小港經常做什麼小港經常有什麼問題我們往下看你說運能運量還沒回來那是需求運能有沒有足夠小港經常是不是有這些阻礙
transcript.whisperx[601].start 18275.637
transcript.whisperx[601].end 18299.842
transcript.whisperx[601].text 有宵禁嗎?宵禁晚上可以飛貨運嗎?不行貨運是24小時不停的?全世界的貨運主要機場都是24小時有沒有軍民抗議?有啊有嗎?附地如果我要做貨運我要更多的倉儲轉運喔客人可以住在高雄市中心的觀光大飯店你這些貨要在機場附近盤轉是不是要更大的附地?那小港有辦法嗎?
transcript.whisperx[602].start 18301.658
transcript.whisperx[602].end 18315.053
transcript.whisperx[602].text 小港過去有一個戶地,就以前有一個航空服務員區的一個戶地在那個地方,過去有啊過去有,你們有沒有開始在研究啦?怎麼去解決半導體產業晶片出口的需求,我們往下看
transcript.whisperx[603].start 18315.998
transcript.whisperx[603].end 18316.018
transcript.whisperx[603].text 為什麼?
transcript.whisperx[604].start 18341.529
transcript.whisperx[604].end 18362.786
transcript.whisperx[604].text 現在的這種還品還有找到一個適合的機場非常不容易那如果台灣只剩下陶機在負責半導體機面的出口那台灣不是更慘嗎半導體產業對台灣這麼重要他在疫情期間整個台灣我們去年一個人可以領6000塊你知道台積電貢獻多少嗎?台積電貢獻的營業稅、營所稅加起來超過1000億啊我們每個人領6000去年花了多少億?花1300億
transcript.whisperx[605].start 18370.672
transcript.whisperx[605].end 18395.501
transcript.whisperx[605].text 講得比較不客氣一點去年大概6千塊的這個紅包等於是靠台積電出口金錢賺來的這麼重要一個產業他如果按只依靠一個桃園機場做貨運還要讓給客運作為一張部長你覺得有沒有必要趕快運模出入現在就是小港機場的定位啦我沒有跟你談小機場我說怎麼解決這個需求你要在小港機場擴建還另外找貨運機場都是選項我們看最後一個
transcript.whisperx[606].start 18397.062
transcript.whisperx[606].end 18420.011
transcript.whisperx[606].text 半導體從南部出口的需求評估這個我已經問過國發會了他一個月內會給我未來5到10年台灣的半導體晶片出口從哪裡出去需要多少的量他會算出來這樣如果要做什麼用力取得周邊的產業規劃和大眾運輸的接駁這是交通部的工作你可以如果國發會負責產業出口的需求評估評估出來了你可以負責貨運機場的運能規劃嗎
transcript.whisperx[607].start 18422.977
transcript.whisperx[607].end 18441.986
transcript.whisperx[607].text 可以不可以?如果國保有這個需求,交通部就要負責這個機場運燃的規劃?對,這可以研究好,那一個月後他出來了,是不是就請你們來負責規劃?如果有這個需求?我們研究來做一個規劃報告好,謝謝什麼時候可以給?
transcript.whisperx[608].start 18443.871
transcript.whisperx[608].end 18447.172
transcript.whisperx[608].text 總委員發言完畢現在請謝依鳳委員發言主席好,我想要請王部長
transcript.whisperx[609].start 18478.827
transcript.whisperx[609].end 18503.846
transcript.whisperx[609].text 王部長午安我們去年才通過道路交通安全基本法我們希望可以做到我們的交通事故臨死亡這樣子一個願景但是你們也知道就是我們這一次在彰化有三個家福兒童誠信姐弟他們在路口的時候發生了交通的事故
transcript.whisperx[610].start 18504.466
transcript.whisperx[610].end 18519.781
transcript.whisperx[610].text 那我們知道說現在我們國內的所有的標線號誌的話的那個設置都是根據道路交通的是什麼法?交通標誌標線號誌設置規則所以統一的嗎?是不是?對
transcript.whisperx[611].start 18526.568
transcript.whisperx[611].end 18553.633
transcript.whisperx[611].text 但是我們全國的路、路寬甚至中央分隔島的距離以及每一個路口都是不一樣的那統一的這樣子的一個法規在各縣市怎麼樣的適用我看到了我們彰化有非常多的路口不只是潮話縣、標縣等等畫出來的這個比例都是
transcript.whisperx[612].start 18554.773
transcript.whisperx[612].end 18564.036
transcript.whisperx[612].text 不一而且讓大家不知道怎麼遵循在這個情況下我們是不是應該要進行要請專案小組進行改善
transcript.whisperx[613].start 18564.977
transcript.whisperx[613].end 18589.689
transcript.whisperx[613].text 我們現在在這樣 這個委員提到一個重要課題就是標誌、標線、號誌、設置規則是就每一個設置要怎麼做但是我們就是把這個規則給地方去做整體的設計但是它整體設計有時候會格格不入比如說我們要求設什麼標誌牌結果它在某個路口設滿了這個標誌牌的意思所以我們現在請易賢手再做一個指引
transcript.whisperx[614].start 18590.749
transcript.whisperx[614].end 18611.014
transcript.whisperx[614].text 這是請預言所嗎?對,它會有一個再更細一點的就是說參考標誌標籤號誌社會規則是,你們是不是應該要有一個標準的一個範圍然後甚至對於不同的路寬不同的分隔島以及不同的路口要怎麼樣子做相關的規劃?
transcript.whisperx[615].start 18612.334
transcript.whisperx[615].end 18631.471
transcript.whisperx[615].text 他指引就是所謂的組合,就是我們看標誌、號誌、全部組合起來應該怎麼做,所以他會有很多的案例什麼時候可以出來?我們首長他們正在做這個跟委員報告,我們今年大概就會先就一般性的這個比較普遍的道路的這種狀況,我們來先產生這個所謂的
transcript.whisperx[616].start 18635.695
transcript.whisperx[616].end 18653.616
transcript.whisperx[616].text 我們現在不是就運用了道路交通標誌、標線、號誌、設置、規則嗎?那我們講的就是在一般道路的其他的太陽嘛,是不是?因為各種路況的太陽不一嘛,是不是?
transcript.whisperx[617].start 18654.737
transcript.whisperx[617].end 18674.194
transcript.whisperx[617].text 對跟委員報告設置規則裡面對單項的標誌比如說樹線的標誌或是這個紅綠燈的號誌這個實質怎麼去做這個紅綠燈怎麼做設置他有基本的這個所謂的設置的一些原則性的規定可是道路的實際的環境每一個道路的狀況都不一樣
transcript.whisperx[618].start 18674.634
transcript.whisperx[618].end 18702.879
transcript.whisperx[618].text 那到時候我們要在實際設置的時候要怎麼去運用這個規則裡面每一個單項的標誌、標籤跟號誌去做組合把它放到這個每一個現場的道路環境才能夠達到保障交通安全跟提升交通對,那什麼時候可以給對,我就說我們今年今年會先有一個這個這個今年是什麼時候就是年底我們會有一個初步要到年底啊那到年底前還有多少的交通事故會發生
transcript.whisperx[619].start 18704.189
transcript.whisperx[619].end 18704.329
transcript.whisperx[619].text 法定法規
transcript.whisperx[620].start 18721.816
transcript.whisperx[620].end 18745.698
transcript.whisperx[620].text 你知道公務人員你自己就是公務人員出身的公務人員都不想要違背法規嘛那在法規的這個限定下他們就沒有就是說在依據法規的限定下那就變成說好像我們還是我們都要舉辦各縣市的這樣子相關的路口的這個相關的協調會是不是
transcript.whisperx[621].start 18746.579
transcript.whisperx[621].end 18748.426
transcript.whisperx[621].text 你就要把每一個縣市每一個縣市檢討嗎?不然以後要怎麼處理呢?
transcript.whisperx[622].start 18753.649
transcript.whisperx[622].end 18780.355
transcript.whisperx[622].text 第一個就是這個指引出來當然那個速度越快越好啦比如說他有些入口的太陽比如說你像彰化這一個這個協交的入口要怎麼處理這個太陽趕快出來我是覺得他做差不多就有一些就可以劃步了慢慢當然我覺得年底太太慢了啦什麼時候可以出來我覺得陸陸續續啊因為他們也要做一個有一點時間但是我覺得陸陸續續的成果可以給地方政府來參考
transcript.whisperx[623].start 18781.075
transcript.whisperx[623].end 18782.959
transcript.whisperx[623].text 你這樣子還不積極你應該要給個時間幾個月內嘛對不對你520之前可不可以做
transcript.whisperx[624].start 18790.225
transcript.whisperx[624].end 18817.099
transcript.whisperx[624].text 我跟委員報告是我們當然這個整個因為標誌標証號誌他實際在各種不同的道路環境之下他有很多種的設置的一個狀況那我們我想我剛才報告的就是我想我們只要這個有討論有成果我們就可以及時提供給這個我們的地方政府來做這個運用
transcript.whisperx[625].start 18818.16
transcript.whisperx[625].end 18835.316
transcript.whisperx[625].text 他們做好的這些範例齁我就覺得就直接趕快給地方政府就陸續給這樣啦那臨底可能是完成但是就陸續給這樣好不好所以就是隨時都要對如果我們經過研究過程中只要有我會來追你喔對還有喔像我我
transcript.whisperx[626].start 18836.397
transcript.whisperx[626].end 18837.939
transcript.whisperx[626].text 我相信在全國裏面還是有非常多的路段是這樣的情況有一邊
transcript.whisperx[627].start 18853.834
transcript.whisperx[627].end 18855.576
transcript.whisperx[627].text 政府無法全責不清的地方是不是?
transcript.whisperx[628].start 18871.608
transcript.whisperx[628].end 18889.139
transcript.whisperx[628].text 的確,速限有沒有全部一致,當然一致是比較容易遵循,但是它有的,比如說有的地方會到這個比如說到學校,它就降到50,然後到哪一個地方它覺得入口的這個衝突比較多會降,它會按照
transcript.whisperx[629].start 18890.26
transcript.whisperx[629].end 18890.28
transcript.whisperx[629].text 國道號誌
transcript.whisperx[630].start 18907.998
transcript.whisperx[630].end 18933.078
transcript.whisperx[630].text 是不是也應該要只是也應該要統一或者是能夠給予更多的就是說延續性的這個就是說到達地就像我們某一個地方可能下交通道以後就是到了可能例如我們在北斗交通道下去就是西州的引道嘛引道下去是竹塘這樣子你能不能提供多一點的交通資訊呢
transcript.whisperx[631].start 18933.979
transcript.whisperx[631].end 18954.51
transcript.whisperx[631].text 目前你說是講國道嗎對對對國道應該是算沒關係我們順便資料請他提供一個回答趙局長跟謝委員來做回報是他們有他的辦法對我覺得應該要提供多一點的交通指引讓所有的
transcript.whisperx[632].start 18955.33
transcript.whisperx[632].end 18956.03
transcript.whisperx[632].text 現在請高金素美委員發言
transcript.whisperx[633].start 18986.547
transcript.whisperx[633].end 18987.249
transcript.whisperx[633].text 王國材列席報告
transcript.whisperx[634].start 18992.793
transcript.whisperx[634].end 19014.39
transcript.whisperx[634].text 好,2022年的時候7月20日交通部你們發布了露營場管理要點我們原本以為既有的露營場的合法化工作就會順利地展開了可是一年半過去露營場合法化卻成了我們所有部落族人的噩夢我們來看一下根據官網署的統計目前全台灣露營場總共有1845處其中有1667處是沒有合法的
transcript.whisperx[635].start 19020.154
transcript.whisperx[635].end 19035.281
transcript.whisperx[635].text 根據我的了解目前申請的案件總共是800件但是屬於既有的廠家卻只有307件其他的493件都是新增的露營廠而我們整合起來800件的申請案部長你知道有幾家通過了嗎?
transcript.whisperx[636].start 19037.681
transcript.whisperx[636].end 19065.783
transcript.whisperx[636].text 不要浪費我時間只有一家只有一家而且這一家是新設立的露營場不是既有的喔聽好當初我們制定露營場的合法化要點最重要的就是輔導既有的業者來合法可是您看到我的數據一年半過去了既有業者不僅他的申請意願非常的低到現在沒有任何一家通過所以這件事情是恍然的
transcript.whisperx[637].start 19066.343
transcript.whisperx[637].end 19085.224
transcript.whisperx[637].text 那我們的族人的噩夢是什麼呢?因為露營場的設立不可以位於19項環境敏感區其中有一項叫做土石流淺室溪的範圍部長土石流產生的要件是什麼?我們都知道土砂坡度大還要有水
transcript.whisperx[638].start 19086.005
transcript.whisperx[638].end 19106.879
transcript.whisperx[638].text 所以農業部因此公布的土石流潛水溪流的範圍是用防災用的對不對他主要是在風險潛水分級可能會影響到範圍之內然後以防災工作之用我要請教部長了颱風警戒發布的時候你會去露營嗎?不會吧?
transcript.whisperx[639].start 19108.941
transcript.whisperx[639].end 19120.053
transcript.whisperx[639].text 入營業者敢收這些客人嗎?也不會吧?所以根據水保署公告的土石流潛勢溪流你知道全台有多少個嗎?有1732條
transcript.whisperx[640].start 19123.277
transcript.whisperx[640].end 19140.036
transcript.whisperx[640].text 他的含括包括什麼風景區、休閒農業區、學校、寺廟、派出所就連山山國家風景區的獅山遊客中心他也位於土石流潛勢溪流範圍之內所以並沒有禁縣建
transcript.whisperx[641].start 19144.381
transcript.whisperx[641].end 19158.357
transcript.whisperx[641].text 可是根據非都市土地使用管制規則第6條附表1的規定我們的露營場卻不可以位於土石流潛勢溪流範圍的請問一下我們的境線依據
transcript.whisperx[642].start 19161.56
transcript.whisperx[642].end 19175.628
transcript.whisperx[642].text 為何是毫無根據的嘛所以呢結果會造成我們現在族人一個很大的困擾是什麼嗎而且是已經發生的事情了就因為我們現在的住家位於土石流淺市溪流範圍那麼他同時也是經營露營場現在卻被我們的縣市政府因為這樣子的你們所謂的要開放露營而被開罰了
transcript.whisperx[643].start 19187.975
transcript.whisperx[643].end 19209.731
transcript.whisperx[643].text 這顯然不合理也不合法的規定造成我們族人真的是很啞口無言所以是不是應該協助他們救濟這是我今天的問題第二點我要再建議部長針對19項環境敏感區不可以設立露營場的規定我希望一週內
transcript.whisperx[644].start 19211.292
transcript.whisperx[644].end 19237.846
transcript.whisperx[644].text 也希望你們來通知國土署來檢討修正非都市土地使用管制規則第6條附表1的規定。部長你同意嗎?的確我們希望,錄影室現在很普遍,尤其在山地也非常普遍但是你談到現在最大問題的確就是這19項環境敏感地區限制它能夠合法的
transcript.whisperx[645].start 19239.335
transcript.whisperx[645].end 19241.997
transcript.whisperx[645].text 國土署.國土署.國土署.國土署.國土署.國土署.國土署.國土署.國土署.國土署.
transcript.whisperx[646].start 19259.048
transcript.whisperx[646].end 19286.835
transcript.whisperx[646].text 同時還要輔導我們露營場的工作因為交通部你們應該可以分階段來辦理特別是你應該也清楚5月1號縣市國土計畫他就有公告實施其中很重要的部分是原住民族的部落只要是在105年5月1號前他既有的住宅未來都會合法同時土地會變更為建地
transcript.whisperx[647].start 19288.175
transcript.whisperx[647].end 19308.828
transcript.whisperx[647].text 而原住民的土地也會同步來制定原住民族土地管制規則然後我們來進行建管的工作那因為我們很多的族人露營場都是用自宅作為管理看一下這個照片經營的是無橫露營區就好像這個照片一樣像這種僅有住宅跟預測的露營場我覺得交通部你們應該立刻要跟人民會成立輔導平台
transcript.whisperx[648].start 19314.231
transcript.whisperx[648].end 19341.91
transcript.whisperx[648].text 優先來協助處理他們所以我今天的三個總結是第一個要協助族人救濟現在已經要被開罰的人怎麼樣來協助他們第二個依照露營場的樣態然後分階段的來輔導並且要優先輔導無痕露營區第三個交通部和園民會你們必須要成立一個合作平台來輔導原住民經營的露營場可不可以
transcript.whisperx[649].start 19342.47
transcript.whisperx[649].end 19359.233
transcript.whisperx[649].text 我想說我們就跟他我看他們下禮拜做一個開會來討論就的確現在福島的困境在尤其原住民區他們是希望趕快合法來經營這件事對既有的嘛
transcript.whisperx[650].start 19360.054
transcript.whisperx[650].end 19360.294
transcript.whisperx[650].text 委員會委員會委員會委員會
transcript.whisperx[651].start 19382.779
transcript.whisperx[651].end 19403.836
transcript.whisperx[651].text 我們需要把現在原住民地區的樣態讓他們都清楚因為本席跑了全台灣所有的原鄉地區我非常清楚知道他們的困境在哪裡 可以嗎好 我們會通知委員辦公室好 謝謝部長 謝謝好 高金委員發言完畢現在請王宏威委員發言
transcript.whisperx[652].start 19412.998
transcript.whisperx[652].end 19414.501
transcript.whisperx[652].text 王國材列席報告業務概況.
transcript.whisperx[653].start 19427.979
transcript.whisperx[653].end 19448.212
transcript.whisperx[653].text 昨天我揭露我們桃機公司這個員工提供給我的澄清函提到我們鄭文燦副院長陸續安插他當年在桃園市的時候的一些相關的員工進入了我們桃機公司
transcript.whisperx[654].start 19449.096
transcript.whisperx[654].end 19476.256
transcript.whisperx[654].text 因為這兩天大家的聚焦都是在最近我們機場因為稅休然後造成的整個大塞機那當然淘氣公司也受到很多的責難那我特別要講如果一家公司他動不動就有人事酬庸動不動就有特定的人事把自己人塞進公司裡面當然會造成員工的士氣低落
transcript.whisperx[655].start 19477.321
transcript.whisperx[655].end 19488.02
transcript.whisperx[655].text 那麼當淘氣公司出事的時候這些員工他心裡也非常非常的難受那我昨天披露之後呢今天媒體有問您
transcript.whisperx[656].start 19489.97
transcript.whisperx[656].end 19513.436
transcript.whisperx[656].text 問王部長:部長說沒有這回事那我先想請教我們的董事長在你任內有沒有曾經有員工跟你反映這樣的事情你是否也像本席一樣接受過陶基公司這樣的陳秦涵就是直接的他非常清楚
transcript.whisperx[657].start 19514.156
transcript.whisperx[657].end 19525.958
transcript.whisperx[657].text 哪些人被塞進來哪些人在哪些單位他寫得清清楚楚你是否曾經在你任內收過類似的陳情函
transcript.whisperx[658].start 19527.368
transcript.whisperx[658].end 19544.961
transcript.whisperx[658].text 跟委員報告我是去年的3月份到陶器公司那從到任到陶器公司沒有這樣的一個情況從來沒有是沒有我看到昨天媒體的報導那部長你也從來沒有從陶器公司告訴你這個事情沒有完全沒有
transcript.whisperx[659].start 19545.942
transcript.whisperx[659].end 19560.592
transcript.whisperx[659].text 那麼待會結束之後我會把這個陳秦涵同樣的我會請我們交通部的府會給我們部長也會給我們陶基公司的董事長請你們看一下
transcript.whisperx[660].start 19562.353
transcript.whisperx[660].end 19576.342
transcript.whisperx[660].text 這個雖不稱為所謂的自製血淚但是裡面我直接來念進來民進黨派人寄生逃機胃口越來越大站的缺也越來越高桃園機場會這麼爛長久以來的陋習就是基層員工不停地忍受關說裡面也有講
transcript.whisperx[661].start 19587.244
transcript.whisperx[661].end 19604.089
transcript.whisperx[661].text 他講到有兩位他說安插進來還沒有通過試用期然後甚至之前任職在什麼地方然後直言不會自己是靠高層關說進入陶瓊行為毫不羞恥
transcript.whisperx[662].start 19605.094
transcript.whisperx[662].end 19618.375
transcript.whisperx[662].text 好,兩人靠關說空降桃園機場弄得全機場人靜皆知,廠商都知道現在食髓滋味還要塞更多人我桃機員工就是建民民進黨人才是人
transcript.whisperx[663].start 19619.73
transcript.whisperx[663].end 19648.013
transcript.whisperx[663].text 所以這樣的問題如果第一層員工都這樣的不滿跟憤怒那未來你們怎麼帶領淘氣公司呢?我們國家的門面我們現在談到桃園機場的排名直直落最危勢的下降我不要說您說您8月就是董事長去年對不對去年整個都降到82名但是我並不認為這所有的過錯全部放在你一個人身上啦
transcript.whisperx[664].start 19648.88
transcript.whisperx[664].end 19661.516
transcript.whisperx[664].text 前面就很多是愁央的啊董事長都愁庸了欸對不對桃園副市長然後跑去當董事長然後做的亂七八糟最後離開不是這樣子嗎還要繼續塞人
transcript.whisperx[665].start 19664.512
transcript.whisperx[665].end 19691.024
transcript.whisperx[665].text 夠了吧所以我請部長和董事長能夠正視這件事情不要因為媒體說沒有沒有沒有我們都沒有酬庸如果你們是這樣的話以後這些員工士氣低落不說他們搞不好會爆更多的料如果你們願意去正視這些問題那我覺得他們會覺得還有希望另外請教部長
transcript.whisperx[666].start 19692.796
transcript.whisperx[666].end 19703.688
transcript.whisperx[666].text 昨天我們工程會的主委他提到我們桃園機場第三航站的預算要再修正到1300億元
transcript.whisperx[667].start 19706.965
transcript.whisperx[667].end 19728.986
transcript.whisperx[667].text 這個是在我們第二次修正計畫從原來最早746.89億一路向上修正到956.8億元這是第二次修正計畫現在又要修正主要提高到1300億我想請問一下我們的修正計畫定案了嗎?送行政院了嗎?確定了嗎?
transcript.whisperx[668].start 19732.397
transcript.whisperx[668].end 19734.379
transcript.whisperx[668].text 現在進入第三次修正計畫是嗎?
transcript.whisperx[669].start 19753.3
transcript.whisperx[669].end 19781.483
transcript.whisperx[669].text 目前我們第三次修正計畫公司這邊已經找你出來所以現在還沒有報布然後昨天公共工程委員會的主委就說要提高到1300億元那是怎麼樣呢先斬後奏嗎還沒有報布然後公共工程委員會就對外說了所以部長就要認賬囉認賬然後就要送到立法院立法院就給你認賬再繼續追加嗎
transcript.whisperx[670].start 19783.601
transcript.whisperx[670].end 19784.301
transcript.whisperx[670].text 預計什麼時候會報佈?什麼時候會送院?
transcript.whisperx[671].start 19812.297
transcript.whisperx[671].end 19837.562
transcript.whisperx[671].text 這個要經過部裏面審查然後到所議院裏面最後應該還是會經過公共城委員會的審查所以後面還有一些程序看起來公共城委員會主委都幫你宣布啦另外請教你這第三次修正計畫除了總經費大幅提高比原來幾乎是翻倍成長之外請問一下在相關的年限完工的時間會不會再修正我們是不是還要遲遲的等
transcript.whisperx[672].start 19840.731
transcript.whisperx[672].end 19853.346
transcript.whisperx[672].text 目前我們還是以115年第3回合下完工為目標現在目前還是這樣以那個為目標對就是他還沒有講出說有時程修正的事所以讓我們總經理再補充說明一下
transcript.whisperx[673].start 19853.996
transcript.whisperx[673].end 19870.287
transcript.whisperx[673].text 是跟委員報告我們第三行下的相關工程都已經完成發包那目前我們跟廠商的工程契約是到115年的12月左右是完工的期限所以不是全部都發包了嗎那為什麼還要再漲這麼多呢
transcript.whisperx[674].start 19872.288
transcript.whisperx[674].end 19899.665
transcript.whisperx[674].text 價格為什麼還要再增加都已經發包了嗎對因為發包的話我們在當時我們的發包裡面我們在契約裡面都有物價指數條款那因為如果物條變動太大那廠商如果沒有這個機制可能廠商連做都做不下去所以基本上這個部分是等於讓廠商所以意思是說頭洗下去了現在就受制於廠商不然說我不跟你做下去了又不知道延到民國幾年好啦因為時間的有限
transcript.whisperx[675].start 19902.066
transcript.whisperx[675].end 19922.119
transcript.whisperx[675].text 所以我先只確定說你預計下個月是下個月要報布是吧還是這個月這個月這個月中這個月中會報布那到時候我再跟你們要資料知道整個第三次修正計畫的全貌謝謝王委員發言完畢現在請李博義委員發言
transcript.whisperx[676].start 19940.699
transcript.whisperx[676].end 19940.719
transcript.whisperx[676].text 麥克風
transcript.whisperx[677].start 19943.345
transcript.whisperx[677].end 19944.865
transcript.whisperx[677].text 請交通部部長王國材列席報告業務概況.
transcript.whisperx[678].start 19968.786
transcript.whisperx[678].end 19997.037
transcript.whisperx[678].text 台積電到日本熊本那日本政府給了台積電有第一個場一千億的補助第二個場聽說是一千五百億台幣的補助那這個不算在日本政府他投入相關的這個交通建設包含水那包含道路那包含他們的鐵路的這些建設不包含喔好我們用一千億這個標準來看台積電即將到高雄南梓設廠
transcript.whisperx[679].start 19998.197
transcript.whisperx[679].end 20020.146
transcript.whisperx[679].text 高雄男子社場面臨非常多重大的這些交通議題必須要趕快去開闢我剛才在國科會這邊已經針對我們這個男子交流道引道的部分希望國科會盡速加速那國科會這邊也給予正面的承諾那國科會這邊下來之後那希望交通部相關的這些作業也要趕快這78億的這個交流道引道
transcript.whisperx[680].start 20021.667
transcript.whisperx[680].end 20037.44
transcript.whisperx[680].text 接下來就是有兩條包含台鐵的立體化包含高雄捷運子線的未來我想在這個交通委員會這邊來跟部裡面來做這個討論台鐵立體化他未來其實台積電會選擇在高雄
transcript.whisperx[681].start 20039.682
transcript.whisperx[681].end 20061.439
transcript.whisperx[681].text 那對於這個高階的這些製程有一個想像就是未來針對台南跟高雄園區會有大量的交通運輸以前喔以前從高雄到台南這個交流道比如說仁德交流道好了大概從中正交流道到仁德交流道的往返40分鐘現在沒有一個小時到不了
transcript.whisperx[682].start 20062.139
transcript.whisperx[682].end 20079.84
transcript.whisperx[682].text 再加上未來的這些大量的運輸車輛我想是絕對不夠的所以我們需要這個交流道引道之外那台鐵未來他也可能可以對開到台積電廠區的對開車也就是從台南的園區到高雄的園區可能可以規劃這個相關的區間車所以
transcript.whisperx[683].start 20082.423
transcript.whisperx[683].end 20100.849
transcript.whisperx[683].text 我們目前台鐵立體化的這個可信性評估裡面市政府有建議在台積電的園區外面多設兩個站一個站是在台積電園區外面那另外一個站會是在部長你這邊可不可以做一個說明
transcript.whisperx[684].start 20101.849
transcript.whisperx[684].end 20127.558
transcript.whisperx[684].text 我跟委員報告現在大概兩個第一個現階段現階段因為那個油廠國小紅線油廠國小是就在台積電設廠那附近所以短期我們的建議是短期跟中期短期就是他從油廠國小搭到橋頭站橋頭站是跟鐵路共站他就到南科的火車站這短期那第二個就是這個鐵路
transcript.whisperx[685].start 20130.459
transcript.whisperx[685].end 20142.803
transcript.whisperx[685].text 現在是談高價高價跟立體化的價格我那天有在院長的這個施政報告裡面有提出來大概差了400億以上大概差了3倍到4倍高價大概是160現在估起來是160億如果是地下化的話可能會超過500億到600億之間
transcript.whisperx[686].start 20152.006
transcript.whisperx[686].end 20170.392
transcript.whisperx[686].text 所以李委員所提的第二階段就是現在我們補助高雄市政府在做高價北延的這個可行性他提出來現在是兩個站這兩個站都會服務到這一個我們台積電的這個位置那我們是想這樣就是說他高價的時候就把這兩個站放進去是
transcript.whisperx[687].start 20171.152
transcript.whisperx[687].end 20191.596
transcript.whisperx[687].text
transcript.whisperx[688].start 20191.596
transcript.whisperx[688].end 20208.439
transcript.whisperx[688].text
transcript.whisperx[689].start 20209.16
transcript.whisperx[689].end 20217.371
transcript.whisperx[689].text 半導體區間車 疏解掉高雄跟臺南之間非常大的交通流量 這個也請鐵道局這邊早一點來做這個相關的規劃接下來捷運紫線 捷運紫線
transcript.whisperx[690].start 20226.343
transcript.whisperx[690].end 20240.131
transcript.whisperx[690].text 連接捷運黃線高雄醫學院接到高雄榮總進入左營高鐵從左營高鐵進入右艙高鐵附近還是我們的台積電廠區進入右艙到高雄大學連接橋頭科學園區
transcript.whisperx[691].start 20240.811
transcript.whisperx[691].end 20258.78
transcript.whisperx[691].text
transcript.whisperx[692].start 20258.94
transcript.whisperx[692].end 20273.881
transcript.whisperx[692].text 我想高雄的捷運在因為以前在縣市合併以前這個紅橘兩線然後包括黃線等等的現在北邊這個整個廊帶就是說直線的沿線的這些廊帶都發展的也非常密集
transcript.whisperx[693].start 20274.662
transcript.whisperx[693].end 20274.822
transcript.whisperx[693].text 華航總經理
transcript.whisperx[694].start 20293.684
transcript.whisperx[694].end 20308.274
transcript.whisperx[694].text 呃,你邊聽我邊講齁,邊走我邊講齁,在這個疫情...董事長,你好在疫情開始之前齁,那當然華航也經過很辛苦的疫情的過程齁但我們也知道,其實華航我們的貨運還是賺錢
transcript.whisperx[695].start 20311.775
transcript.whisperx[695].end 20327.315
transcript.whisperx[695].text 我們也知道很多貨運的客機還沒改回,客運的客機可能營利為主之外,高雄機場其實有非常大的聲音,南部鄉親有非常大的聲音,就是我們的飛機永遠都是321,永遠都是小飛機
transcript.whisperx[696].start 20328.436
transcript.whisperx[696].end 20349.361
transcript.whisperx[696].text 甚至我也在期間過程裡面也透過當時的我們現在的召委當然我還擔任市議員的時候也透過當我們現在的召委李昆哲委員跟華航反映過很多次那我們的雙走道飛機進駐小港機場來服務南部鄉親的這個計畫有沒有改變什麼事要落實請董事長來做一個回應
transcript.whisperx[697].start 20349.801
transcript.whisperx[697].end 20350.642
transcript.whisperx[697].text 三百330現在桃園沒有在飛嗎?
transcript.whisperx[698].start 20365.945
transcript.whisperx[698].end 20366.125
transcript.whisperx[698].text 王國材列席報告
transcript.whisperx[699].start 20390.858
transcript.whisperx[699].end 20393.04
transcript.whisperx[699].text 李委員發言完畢現在請楊瓊英委員發言請王部長
transcript.whisperx[700].start 20423.483
transcript.whisperx[700].end 20448.092
transcript.whisperx[700].text 我們國醫中心交流道GA74的閘道那這個我要特別感謝施工單位我們持續在關心這個進度而且也暫許那因為呢這個案子呢我們從開始規劃到完成這個發包到施工過程當中我們地方的民眾非常的期待
transcript.whisperx[701].start 20448.692
transcript.whisperx[701].end 20468.482
transcript.whisperx[701].text 那相對的在施工的時候呢因為塞車、堵車那也讓民眾有些不方便但是我們台中的民眾是超水準的知道這個重要工程大家全力配合那非常的期待那請問到目前為止我們的進度
transcript.whisperx[702].start 20471.593
transcript.whisperx[702].end 20495.062
transcript.whisperx[702].text 目前進度應該到9393左右了對那我們什麼時候完工告訴我們是五月那可不可以這個時間來確認因為我們現在講是說他工程完之後我們要經過一些勘驗原則上應該我們朝下五月底以前五月底就可以正式前採通車我們盡量努力啦那努力是什麼意思是會不會達到
transcript.whisperx[703].start 20496.275
transcript.whisperx[703].end 20509.691
transcript.whisperx[703].text 因為這裡面好到5月的話現在目前還有一些小的地方要處理他可能有一些收尾我在猜應該不會超過6月初,不會超過6月初你身邊那個大將是超厲害的
transcript.whisperx[704].start 20513.696
transcript.whisperx[704].end 20525.652
transcript.whisperx[704].text 他講五月底你給他講六月初五月底、五月三十一跟六月一號因為我們地方很期待所以我也希望照著這個時程來規劃讓他完成因為這個對於我們地方上來講很重要
transcript.whisperx[705].start 20531.48
transcript.whisperx[705].end 20549.057
transcript.whisperx[705].text 我們現在國道是要接過來然後再接74線所有回堵都是在我們的崇德路、中山路過來就是我們的中青路然後過來連廣福路現在也都斷了大家會往前一個地方所以尤其是我們中青交流道
transcript.whisperx[706].start 20550.519
transcript.whisperx[706].end 20563.939
transcript.whisperx[706].text 這個會做這個工程有地方我們地方事生大家都認識到這個工程務必要做對我們地方來講很重要所以我也期勉我們也就在這個5月底的時間可以如期把它完成
transcript.whisperx[707].start 20564.74
transcript.whisperx[707].end 20582.109
transcript.whisperx[707].text 當然這個爐子你身邊這個大將我是給予按個讚真的是非常感謝帶著這個施工團隊非常的用心而且在整個的實用跟美觀方面的公路來講是我們是給予肯定所以謝謝那接下來那個
transcript.whisperx[708].start 20585.35
transcript.whisperx[708].end 20610.596
transcript.whisperx[708].text 部長我們那個清泉崗的航線本來說叫做三條線那時候我們去會刊的時候我們的旅遊業、觀光業我們相關的就因為這個三條線讓我們傷腦筋那當然我們也不免苛責啦不能苛責就是說我們趕快怎麼樣增加兩個議題第一個到金門的航線一味難求我們可以再怎麼樣去增加
transcript.whisperx[709].start 20611.596
transcript.whisperx[709].end 20611.936
transcript.whisperx[709].text 請做說明
transcript.whisperx[710].start 20631.616
transcript.whisperx[710].end 20632.557
transcript.whisperx[710].text 你再把那個調整的
transcript.whisperx[711].start 20651.684
transcript.whisperx[711].end 20658.988
transcript.whisperx[711].text 國際航線部門現在因為那個新宇他現在想要以這裡為home base所以他現在有很多,他現在3月很多就是包機開始飛了,現在應該是原來14個航點在今年會到13是吧?
transcript.whisperx[712].start 20672.858
transcript.whisperx[712].end 20673.5
transcript.whisperx[712].text 有哪些行點?沖繩、還有哪裡?對
transcript.whisperx[713].start 20684.915
transcript.whisperx[713].end 20700.724
transcript.whisperx[713].text 定期航線的話就有河內胡志明港澳還有這個南京線港然後後續那個新宇他也會現在先用包機飛高松日本高松那大概他現在已經在申請定期航線了什麼時候可以開始預計在下半年應該可以轉定期
transcript.whisperx[714].start 20702.405
transcript.whisperx[714].end 20703.286
transcript.whisperx[714].text 新宇、飛也會開澳門的航線
transcript.whisperx[715].start 20718.214
transcript.whisperx[715].end 20740.135
transcript.whisperx[715].text 然後再包含這個因為中部地區我們去會館的時候考察我們大家都知道這個是最好的點我們也希望中進中出帶動地方的繁榮而且他是迫切需要尤其你的縣港那個還是不夠啦需求度太大其他還有一些仁川、釜山、冀州等等還有很多包機
transcript.whisperx[716].start 20740.936
transcript.whisperx[716].end 20757.473
transcript.whisperx[716].text 你把那個是包機不是定行你把包機跟定行那詳細資料再給委員來本期再跟你討論一個議題也就是兒童的安全我們知道呢2018年開始你說因為周濱的學校附近部長那麼我們線數是這個30線在30公里
transcript.whisperx[717].start 20762.017
transcript.whisperx[717].end 20781.994
transcript.whisperx[717].text 那2022年到2023年你們有提了一個校園周邊交通安全的改善計畫那到目前為止本市了解是收了一百來個案子那大概是大概六成左右那但是我們最近也發現兒童被撞啊在這個路上很難過
transcript.whisperx[718].start 20782.995
transcript.whisperx[718].end 20799.946
transcript.whisperx[718].text 因為兒童是大家的寶貝啊尤其一個家庭發生了這個事情這個是真的是整個家庭就亂掉所以本席要跟你討論的也就是說針對於校園周邊人行空間改善你們雖然有一個參考指引
transcript.whisperx[719].start 20800.626
transcript.whisperx[719].end 20823.021
transcript.whisperx[719].text 但是呢到目前為止有了錢那麼現在所收的案子大概只有6成但是明明白白我們的社會上面還是有這些問題要怎麼樣去加強來執行之呢在學校的附近學校的那個附近我們既然就已經有限數是30那你要怎麼樣去落實請教部長
transcript.whisperx[720].start 20824.222
transcript.whisperx[720].end 20845.169
transcript.whisperx[720].text 第一個,校園周邊在過去兩年做的確因為學校做大改變有它的困難事實上這個也是地方往上申請的然後我們現在接下來我們從今年開始有改善人形設施的計畫它是四年四百億
transcript.whisperx[721].start 20846.529
transcript.whisperx[721].end 20854.594
transcript.whisperx[721].text 今年各縣市政府總共799處 這個也要做一些改善部長你有升級版表示這個問題的重要性但是你第1期只有6層所以你要警惕要怎麼樣去落實因為我就要給你一個數字
transcript.whisperx[722].start 20869.682
transcript.whisperx[722].end 20882.786
transcript.whisperx[722].text 一就是這個12歲以下的兒童呢因為交通傷亡的有4.8萬人那更在112名的這個孩童就當神仙了我們很難過所以換句話說你從2023年跟
transcript.whisperx[723].start 20886.147
transcript.whisperx[723].end 20903.456
transcript.whisperx[723].text 比起前4年它是不減反增那在這樣的一個情況之下每日的平均傷亡的從26人到32人所以它是增加的你這個方案本席具體要求你必須要去落實
transcript.whisperx[724].start 20904.477
transcript.whisperx[724].end 20925.201
transcript.whisperx[724].text 怎麼樣去宣導怎麼樣去落實才能夠保障我們兒童的安全啊尤其在校園的周邊啊謝謝楊委員我們時間已經超過兩分鐘時間已經超過兩分鐘一地方也要申請啦當然所以你們要去請啊好不好一起加油好不好謝謝謝謝楊委員發言完畢現在請鄭天才委員發言
transcript.whisperx[725].start 20948.761
transcript.whisperx[725].end 20950.482
transcript.whisperx[725].text 主席、各位委員、有請部長請部長
transcript.whisperx[726].start 20983.186
transcript.whisperx[726].end 20995.931
transcript.whisperx[726].text 好今天先跟這個部長談這個蘇花庵臺九縣蘇花庵的計畫這個環境部在112年12月6號將這個環境環評的意見送給這個交通部這個部分你們預計什麼時候可以再送
transcript.whisperx[727].start 21013.402
transcript.whisperx[727].end 21013.642
transcript.whisperx[727].text 花東鐵路雙軌化
transcript.whisperx[728].start 21038.719
transcript.whisperx[728].end 21067.06
transcript.whisperx[728].text 這個已經110年4月8日合定那現在在進行中這個進行中的一個過程按照你們的報告有提到整個現在你完工的一段嘛望榮到南平那一段完工
transcript.whisperx[729].start 21068.956
transcript.whisperx[729].end 21094.614
transcript.whisperx[729].text 你們現在施工的時候有沒有考量到是不是從花蓮往台東往資本這樣的一個方向我的建議因為這個時間很長怎麼樣能夠從花蓮到往南的一個情況之下先完成了就可以就雙軌了那樣的一個規劃
transcript.whisperx[730].start 21096.018
transcript.whisperx[730].end 21116.714
transcript.whisperx[730].text 分段通車的意思是吧對啊對啊對啊就能夠往這個方向現在是朝這方面沒錯就是坐完一段就會通對對這樣的話就可以但是如果你們中間是中間譬如說以現在來講啊汪榮到南屏那是中間以就花蓮來講啊花蓮來講是中間啊怎麼樣再從花蓮車站
transcript.whisperx[731].start 21121.465
transcript.whisperx[731].end 21125.851
transcript.whisperx[731].text 目前是這樣沒錯﹖我請局長再幫你補充﹖做完就是馬上增加容量就通了這樣﹖
transcript.whisperx[732].start 21138.429
transcript.whisperx[732].end 21158.595
transcript.whisperx[732].text 對,但是如果你現在是望榮到南平,但是南平到花蓮之間還沒有啊,那就很難去做到花蓮之間現在還涉及到我知道那個高架,吉安高架因為配合高架的部分會最後啦,就是配合高架的部分,因為它起程相對會比較長
transcript.whisperx[733].start 21159.975
transcript.whisperx[733].end 21183.634
transcript.whisperx[733].text 那其他部分我們整個這個雙軌部分會分4個階段來做陸續的調整我知道這個部分你原來的一個規劃看看能不能做調整就是說這樣的進行就會比較因為一定是要從臺北到花蓮花蓮再往南所以這個部分你們盡量往這個方向我們再來檢討
transcript.whisperx[734].start 21185.857
transcript.whisperx[734].end 21201.1
transcript.whisperx[734].text 這是這個我們花東鐵路雙軌化的部分那我們這個剛有談到我們接著談這個花東塊花東塊這個是部長在去年10月19號報導的一個就是說蘇花安
transcript.whisperx[735].start 21217.11
transcript.whisperx[735].end 21218.052
transcript.whisperx[735].text 花東快明年2月
transcript.whisperx[736].start 21225.595
transcript.whisperx[736].end 21252.552
transcript.whisperx[736].text 完成可行性評估當初有這樣說嗎花東快現在應該是8月因為花東快花聯的說明會辦完了因為3月份在辦台東的說明會那台東說明會辦完以後因為要收集大家的意見再做一些整理所以預計是8月份我們會完成這個可行性報告完成現在花聯的說明會辦完現在正
transcript.whisperx[737].start 21255.194
transcript.whisperx[737].end 21278.544
transcript.whisperx[737].text 做台東的說明會結束以後會把意見加到我們的可行性報告裡面然後往再來做環評跟下一階段的宗教是我的建議就是說花東快的可行性評估要加快8月8月要加快因為我們就從我們就講台台灣好了台灣
transcript.whisperx[738].start 21280.612
transcript.whisperx[738].end 21290.979
transcript.whisperx[738].text 以花東快跟這個蘇花我們就講蘇花公路或是說台北回鐵路或者是說這個南回鐵路
transcript.whisperx[739].start 21292.383
transcript.whisperx[739].end 21292.403
transcript.whisperx[739].text
transcript.whisperx[740].start 21322.401
transcript.whisperx[740].end 21347.853
transcript.whisperx[740].text 我們先看這個就請那個杜董事長杜董事長我在談的是臺北臺北市、新北市、桃園、臺中、臺南、高雄、宜蘭、新竹、苗栗、彰化地方政府的敬老卡原住民都降低55歲
transcript.whisperx[741].start 21349.775
transcript.whisperx[741].end 21376.278
transcript.whisperx[741].text 但是他們去買火車票的時候就沒有辦法用那個監牢卡還看是原住民拿身分證出來這樣不一致全國不一致尤其是北部做捷運OK做公車OK然後去坐七間車台鐵的七間車就不OK所以這個部分
transcript.whisperx[742].start 21378.967
transcript.whisperx[742].end 21405.881
transcript.whisperx[742].text 每次就是說中央的法律還沒改其實齁我們看這個鐵路運送規則第9條法定優待票他就要講法定優待票地方政府的敬老卡也是法定啊他也是定了他的規則因為法定並沒有講法律啦法定優待票所以有空間啊
transcript.whisperx[743].start 21407.216
transcript.whisperx[743].end 21407.796
transcript.whisperx[743].text 謝謝政委員發言完畢現在
transcript.whisperx[744].start 21435.935
transcript.whisperx[744].end 21449.324
transcript.whisperx[744].text 請牛許廷委員發言好 謝謝主席 這個交通部長有請 謝謝請王部長你好你好來 慢慢來 沒關係
transcript.whisperx[745].start 21468.113
transcript.whisperx[745].end 21495.735
transcript.whisperx[745].text 部長辛苦了大家都關心交通的議題本期當然也是不例外所以今天來提出交通部的一些相關的政策的意見希望跟部長做一些探討我們先從個案開始說起部長這個1200是好政策很多選區的選民我們桃園是通勤的重鎮往返雙北的人數的數量是非常多那1200上任之後其實大家覺得說這個看到了政府在改善交通問題的誠意
transcript.whisperx[746].start 21496.796
transcript.whisperx[746].end 21515.792
transcript.whisperx[746].text 可是我們不希望這樣子的一個政策為德不足有了大額的票價補貼之後你相關的配套措施要跟著上來1200上路之後大家重新開始期待用國道客運去替代這個私家車來做北逃的這個通勤但是上路之後
transcript.whisperx[747].start 21516.292
transcript.whisperx[747].end 21538.3
transcript.whisperx[747].text 我們各個國道客運的營運狀況卻非常的糟糕這個我舉一個例子比如說南崁的5203A過去由長榮的客運來做營運那其實他去年他就已經說要退場了大家商量他待死延死最後延到今年的2月那2月底之後我們就再進一步去要求後面的配套措施那也跟部裡面就做了溝通跟商量
transcript.whisperx[748].start 21539.801
transcript.whisperx[748].end 21564.794
transcript.whisperx[748].text 講說國光、亞通還有後來有多一家義姐會來接手嘛對不對我們本來很期待我們也很願意相信交通部跟公路局解決這個問題的能力我們也很高興的跟鄉親宣布說這個帶死的狀況暫時可以緩解大家的燃眉之急可是這個現實總是很骨感因為3月1號開始馬上出現說好的48班直接變成38班而且離峰不是離峰更正昏峰從
transcript.whisperx[749].start 21566.215
transcript.whisperx[749].end 21589.967
transcript.whisperx[749].text 台北回來的時候6點40下一班進來是8點40這個是完全沒有辦法輸運這個雙北跟南侃之間通勤的人流那我們辦公室在處理這個個案的時候要求提出說明那速度其實是有一點慢的我要提醒部長這一部分要上緊發條然後我們也要求如果你真的基於班次調度一些困難的話你總要預先跟人民做溝通吧
transcript.whisperx[750].start 21590.487
transcript.whisperx[750].end 21607.49
transcript.whisperx[750].text 你不能說你很辛苦我知道你很辛苦可是人民如果沒有辦法第一時間知道政策的這個變化或者是執行的疏漏的時候那就會出現民怨嘛要不是我們辦公室當初去安排然後要求你當天早上去跟那些排隊的通勤族說明這個民怨會更大
transcript.whisperx[751].start 21608.07
transcript.whisperx[751].end 21622.128
transcript.whisperx[751].text 我們不希望接下來會一直在處理這樣的事情請部理上緊發條那不只是5203A的問題5203A的問題今天開始看起來是恢復正常48班到位這一點是至少有一點改善可是問題是5203A完了之後換5250A5250B出現狀況開始拖班
transcript.whisperx[752].start 21627.194
transcript.whisperx[752].end 21655.533
transcript.whisperx[752].text 為什麼脫班呢後來也是問了一大圈問了半天才知道啊原來這個什麼司機離職啊其實也都是老問題欸你不能說這個地方的問題處理完了下個地方火又燒起來不能一直在處理個案的問題啦而且不只是往返與南侃往返桃園也一樣比如說9005、9023其實都是大排長龍很多人在用可是業者也都興趣缺缺那有些這個班制的調度也不是很精準比如說這個9005的回程
transcript.whisperx[753].start 21657.595
transcript.whisperx[753].end 21673.887
transcript.whisperx[753].text 市府轉運站發車下一站就是港前差一站而已可是在港前的桃園鄉親回家排隊等最久那天寒流不到10度在寒風中等兩個半小時才能上車這個其實是車班調度有更細膩可以改善的地方
transcript.whisperx[754].start 21675.608
transcript.whisperx[754].end 21698.073
transcript.whisperx[754].text 9023、90005在去的時候也一樣住在桃園經國轉運站我住轉運站旁邊捏卻因為離發車中心太遠首站變末站結果住轉運站最近的人竟然上不了車凡此種種都表示我們國道客運在桃園的這個執行細節有非常多可以修改的地方這些個案我希望交通部趕快解決部長可以提出解決方案嗎?好
transcript.whisperx[755].start 21698.593
transcript.whisperx[755].end 21722.293
transcript.whisperx[755].text 我做一個原則的那個就基本上第一個不中斷這是最基本的基本不中斷一定要的嗎那的確在國道客運他因為有這個後來來接手待死不穩定這個現象我這個也有事實上我跟這個局長談過很多次這個是因為他窮盡這個力量去把這個保持這樣的服務品質
transcript.whisperx[756].start 21723.354
transcript.whisperx[756].end 21738.29
transcript.whisperx[756].text 那剛才談的這幾個個案的問題我是不是請那個局長回答一下我時間有些很盡快好不好個案跟同案 個案的部分的話就是說如果說他的這個公司的班制或是車輛駕駛的這個部分因為有些部分或許我們找其他的公司或是遊覽車也來協助啦
transcript.whisperx[757].start 21739.611
transcript.whisperx[757].end 21766.257
transcript.whisperx[757].text 我現在意思就是這樣如果說有班次接不上路線可以調整我們就調整有一些班次比如說9005有一些可以從港前發我覺得這是可以思考的有一些可以從京國轉運站發其實就可以解決調度班次的問題那班次不足的部分比如說5250A如果他繼續拖班那就找其他業者一起來經營我覺得也都OK好不好這些東西我剛剛提到我們會後討論好不好通案我們也有處理通案的話就是說增加價值通案我現在要講來
transcript.whisperx[758].start 21768.437
transcript.whisperx[758].end 21789.64
transcript.whisperx[758].text 通案問題三個方向,我覺得我們這個任期應該會討論這件事,討論滿久的從個案看通案,如果通案的問題沒有解決,那個案的問題將層出不窮通案的問題三個,我相信也是老生常談,第一個叫營運困境我們17年沒有檢討運價票價,18項成本固定在那個地方那什麼時候會有第一次的調整,請部長回答
transcript.whisperx[759].start 21791.369
transcript.whisperx[759].end 21816.965
transcript.whisperx[759].text 票價的部分嗎?票價他現在已經提出來全年會提了嘛 什麼時候審過 大家很關心這個事啦全年會在我們公路局這邊已經審了 給他意見 他修正回來了 那我們這邊會報交通部對啊報部 所以我問部長大概什麼時候會調整完 因為這個關乎客運業者會不會願不願意回頭進場 那個公路局送上來 我們盡快來核准有沒有具體的時間表 一個月兩個月或什麼樣 可以嗎
transcript.whisperx[760].start 21819.946
transcript.whisperx[760].end 21836.122
transcript.whisperx[760].text 因為競速啦,因為他還沒送到我這邊齁,啊我們內部也有一個審查的程序齁沒關係,現在請公路局會後再來跟我做報告,跟我確認時間表齁第二個,司機缺員的問題啊當然你們有提出一些相關的計畫但從前年開始,前年喔,到今年的1月目標4800,只來了1414,達成率不到30%
transcript.whisperx[761].start 21839.685
transcript.whisperx[761].end 21854.291
transcript.whisperx[761].text 那表示這個計畫還有可以精進跟修改的地方另外也表示不只是薪資的問題客運業者的營運上班的工作環境是不好的能不能針對工作環境的優化跟改善去修改部分的規則這個我也希望交通部做一個通盤檢討可以嗎
transcript.whisperx[762].start 21856.092
transcript.whisperx[762].end 21874.7
transcript.whisperx[762].text 這個一樣請公路局會後做報告第三個我要提一個概念我們為了要讓路線調度的更順暢這個也不只是限於國道客運市區公車也需要公車的駐車場站但這個駐車場站現在切身未明現在都市計畫裡面它到底是屬於什麼樣的用地我希望交通部跟內政部做一個會商
transcript.whisperx[763].start 21875.76
transcript.whisperx[763].end 21897.035
transcript.whisperx[763].text 讓不管是中央政府或是地方政府可以有明確的調度場站讓多一點的場站讓路線調度靈活去提升客運的品質這一部分我也希望交通部會後提供相關的規劃跟檢討方向,可以嗎?好,這一部分你願意牽涉都市計畫跟地方政府做對,總要開始好不好,我們花一點時間做好不好麻煩這件事麻煩部長,我們會持續追蹤謝謝你喔,謝謝也謝謝主席,謝謝謝謝你委員發言完畢現在請林立軍委員
transcript.whisperx[764].start 21903.94
transcript.whisperx[764].end 21910.943
transcript.whisperx[764].text 林立軍委員.林立軍委員不在.現在請羅志強委員發言主席有請部長請部長羅委員好部長好
transcript.whisperx[765].start 21934.24
transcript.whisperx[765].end 21953.99
transcript.whisperx[765].text 請問您跟現在所有閣員都算是看守內閣沒錯吧沒錯對不對所以你會不會做到520之後你自己也不知道嗎不曉得對但是倒是行政院我們的陳建仁院長已經多次表示他不會留任所以他只會做到520而已我想請教您
transcript.whisperx[766].start 21955.629
transcript.whisperx[766].end 21978.674
transcript.whisperx[766].text 您宣布6月1日以後禁止出團到大陸去我想請教6月1日以後是誰是哪個政府要上任新的政府、新的總統、新的院長都上來可能新的部長會上來那我想問您你這個6月1日的這個禁團令有沒有跟我們的賴總統當選人商量過
transcript.whisperx[767].start 21981.607
transcript.whisperx[767].end 22007.457
transcript.whisperx[767].text 是他同意的還是他指示的還是跟他溝通的從來沒有跟賴副總統但是我們的是現在的這個團隊裡面的跨部會討論的結果所以完全沒跟我們賴總統當選人討論過這個事我不知道那個他們其他的有沒有跟他報告但是我這邊沒有跟副總統報告過部長
transcript.whisperx[768].start 22009.895
transcript.whisperx[768].end 22021.082
transcript.whisperx[768].text 你都說你是看守那個結果進團這麼重要的事情你不用跟新政府的總統未來的總統打招呼嗎我們院長也說過啊看守政府不做
transcript.whisperx[769].start 22029.898
transcript.whisperx[769].end 22057.29
transcript.whisperx[769].text 會去傷害我們未來政府決策權的一個重大決策這個也沒有傷害啊就是說至少在520那你起碼要跟他溝通吧可是現在我們的行政流程沒有說部長所以我跟你講我幫賴副總統賴總統來跟您說啦今天你許了一個政策的開始日期不是你這看守內閣的時候那你為什麼不講說是今天5月19號呢
transcript.whisperx[770].start 22059.668
transcript.whisperx[770].end 22077.867
transcript.whisperx[770].text 為什麼不5月19日以後進團呢你5月19日進團我還覺得說你稍微有尬質一點啊你還在你任內進團啊那為什麼是6月1日很奇怪6月1日又不是你當家也不是陳建仁當家甚至不是蔡英文當家結果你今天竟然跟我講
transcript.whisperx[771].start 22079.088
transcript.whisperx[771].end 22101.561
transcript.whisperx[771].text 你根本不打算理賴賴清德總統當選人你不是太不尊重賴清德了不是那個羅委員你你也在政府當過你第一個不尊重賴清德第二個我跟你講現在流程沒有跟副總統我要告訴你喔我要告訴你第二個我要跟您說你去年11月宣布要解禁大陸旅遊的禁團令嘛對不對是是確定很多業者當時也不敢自信啦坦白講
transcript.whisperx[772].start 22106.601
transcript.whisperx[772].end 22125.943
transcript.whisperx[772].text 但是想一想政府說嘛一言九鼎嘛 對不對軍無戏言、官無戏言、部長無戏言啊 對不對就相信你啦結果才3個月業者開始染客你現在跟我講說6月1號你要進團相信你的都是笨蛋
transcript.whisperx[773].start 22127.236
transcript.whisperx[773].end 22142.966
transcript.whisperx[773].text 相信你的旅行業者都是笨蛋你不要跟我講他們未來部長你不會不知道旅行社運作的狀況吧他們要開始籌備整個包括下行銷、下聯繫、下據點、下預算三個月只是組團吶
transcript.whisperx[774].start 22148.991
transcript.whisperx[774].end 22176.171
transcript.whisperx[774].text 前期溝通跟籌備工作不只3個月吧所以我告訴你你選前政策開支票選後政策翻臉你教大家可以如何適從呢?部長我在請教您齁疫情之前對啊暫時啦暫時啦我知道你今天有講什麼善意表現部長我告訴你你講的話沒人相信的兩個原因你知道為什麼嗎?
transcript.whisperx[775].start 22177.725
transcript.whisperx[775].end 22191.013
transcript.whisperx[775].text 已經騙了一次嘛人可以被騙第一次可以被騙第二次嗎我都過去一陣子相信你已經跟我騙他一次更重要的是部長你現在承諾有任何意義嗎
transcript.whisperx[776].start 22193.274
transcript.whisperx[776].end 22202.086
transcript.whisperx[776].text 有意義嗎?你520之後是你嗎?你連賴清德你都不重視、不尊重!也不跟他商量、不跟他報告!6月1日以後!6月1日!我問你嘛!我問你嘛!我問你嘛!
transcript.whisperx[777].start 22211.424
transcript.whisperx[777].end 22228.38
transcript.whisperx[777].text 這個看他的賽意表現絕併要不要開團你有跟賴清德總統當選商量過嗎我已經講過很多次齁你有跟賴清德總統當選商量過嗎不是我現沒有嘛我的老闆是院長沒有嘛總統啊我們一般的程序沒有在跟副總統報告這件事那未來總統是誰啊
transcript.whisperx[778].start 22230.001
transcript.whisperx[778].end 22238.687
transcript.whisperx[778].text 所以你的善意表現就可以開團也是你空口白話啊因為你沒有跟未來的總統商量啊未來的院長是誰提名?誰提名?而未來的部長是誰決定?對啊
transcript.whisperx[779].start 22247.233
transcript.whisperx[779].end 22270.746
transcript.whisperx[779].text 那你現在講6月1號看善意表現不是也是空口白話嗎我在跟部長請教你知道在疫情之前兩岸開放探親之後開始可以觀光以後你知道政府什麼時候曾經明令出團到大陸去有沒有過探親開放以後
transcript.whisperx[780].start 22274.864
transcript.whisperx[780].end 22298.356
transcript.whisperx[780].text 民令禁止出團到大陸很好 你知道為什麼沒有嗎疫情期間也不是民令禁止啊疫情期間是有疫情的特殊考量啊是協調業者啊那我想請問你為什麼過去不做這件事啊你說兩岸的惡意那我想請問兩岸惡意也不是今天有惡意啊
transcript.whisperx[781].start 22299.485
transcript.whisperx[781].end 22314.329
transcript.whisperx[781].text 因為我們中華民國憲法保障人民有遷徙的自由你光我跟你講遷徙的自由也包括今天我們旅行的自由旅行的形態也是遷徙自由之一我告訴你你破壞了過去
transcript.whisperx[782].start 22318.752
transcript.whisperx[782].end 22330.419
transcript.whisperx[782].text 很多年我們基本尊重我們的台灣人民旅行的、行事的自由起碼你剛剛講過去沒有,現在只有你的任內有嘛謝謝您,以上好,謝謝董委員發言完畢現在請陳雪生委員陳雪生委員陳雪生委員不在現在請陳冠廷委員發言
transcript.whisperx[783].start 22355.273
transcript.whisperx[783].end 22356.114
transcript.whisperx[783].text 王國材列席報告
transcript.whisperx[784].start 22379.349
transcript.whisperx[784].end 22404.008
transcript.whisperx[784].text 交通部爭取民雄的鐵路高架化那2023年的5月行政院已經核定總合規劃案那已經在2023年12月舉辦動土典禮那據本席的瞭解整個民雄鐵路高架化是預計在民國120年的通車這個時程有沒有變動沒有變動那我們先期工程上次已經動工了我們就讓到現在的這個期程來進行
transcript.whisperx[785].start 22405.482
transcript.whisperx[785].end 22432.1
transcript.whisperx[785].text 謝謝部長因為這是一個重大交通建設那我想不僅是民雄鄉我們嘉義縣的是最大的鄉鎮那很多人都在期待所以說去年12月動土的部分那是鐵路高架化的先期工程那主要是用民雄車站的臨時月台臨時軌是工程範圍那用地權是屬於台鐵公司的用地範圍內不涉及用地徵收那這個先期工程的部分預計何時完成
transcript.whisperx[786].start 22434.326
transcript.whisperx[786].end 22438.321
transcript.whisperx[786].text 工程部我們在今年中會完成今年中會完成嗎?謝謝
transcript.whisperx[787].start 22439.878
transcript.whisperx[787].end 22465.399
transcript.whisperx[787].text 因為這是我們重大建設那民眾很關心他的進程包含地方的這些首長還有一些縣市我們的這個嘉義縣的一些議員都有在關注這件事情那我們是希望說他能夠盡快盡速如此的完成那我們更關心的一個部分就是說鐵路高架工程跟高架車站工程的部分那預計他這個施工要幾年啊
transcript.whisperx[788].start 22466.929
transcript.whisperx[788].end 22488.698
transcript.whisperx[788].text 全部嗎?對這整個我們預計8年後通車預計8年後通車那其實在這個期間點我們有點擔心就是說街區的交通問題要怎麼樣疏導?你們有沒有預先跟地方政府做協調?我想這部我們在施工計畫之前都會報縣政府完成相關的交通維持的這些計畫也會跟地方做相關的說明跟溝通
transcript.whisperx[789].start 22489.338
transcript.whisperx[789].end 22503.272
transcript.whisperx[789].text 包含鄉跟村都會有直接的這些聯繫因為我們不希望有這個交通的黑暗期我們現在工程處跟民從鄉就有在做相關的一些施工上的溝通跟說明
transcript.whisperx[790].start 22504.013
transcript.whisperx[790].end 22525.036
transcript.whisperx[790].text 其實因為在任何的重大交通建設的這個新建的過程中那交通的黑暗期會導致很大的民眾的反彈所以這部分除了溝通之外包含這個說明會跟民眾說何時影響範圍影響時間那預計的這個替代方案是什麼我希望交通部的官員都能夠
transcript.whisperx[791].start 22525.737
transcript.whisperx[791].end 22543.006
transcript.whisperx[791].text 更加積極的方式來去說明給我們的民眾聽因為民眾一方面是期待有重大建設但一方面也不希望說在這個建設的這個時程中影響到他們的通學通勤所以這個部分你們有信心能夠把衝擊降到最低嗎?
transcript.whisperx[792].start 22544.239
transcript.whisperx[792].end 22572.279
transcript.whisperx[792].text 跟委員報告我們在施工前一定會跟地方來做這樣的溝通跟說明也會把所有的衝擊呢按照施工的最小的必要性來做影響的最小層面的一個影響非常感謝我們希望這個一定要做好因為民眾的反應是會比較我們是非常重視的我們會來努力那體育高架之後高架橋下面的空間有沒有作為什麼樣的具體規劃
transcript.whisperx[793].start 22574.055
transcript.whisperx[793].end 22600.247
transcript.whisperx[793].text 目前的話照過去的一般做法是會按跟地方政府來做溝通那現在有關民雄的這個高架地下的部分還沒有進行相關的溝通跟規劃好那我希望說未來交通部可以先來我們辦公室來跟我們分享一下你們的看法那我們其實是有一些想法那其實不是只有交通部而已可能會需要跨部會來一起去合作把那個釋出來的空間做最有效的運用
transcript.whisperx[794].start 22601.267
transcript.whisperx[794].end 22623.059
transcript.whisperx[794].text 接下來我們要提到的是梅山纜車部長現在應該知道我們太平雲梯是我們臺灣海拔最高的景觀吊橋那遊客人數也是蠻多的我們也非常歡迎遊客來到我們太平地區可是交通的負荷也蠻大的現在很明顯的根據我們一些地方的這一些民意代表都有反映已經超過162線的負荷
transcript.whisperx[795].start 22624.62
transcript.whisperx[795].end 22644.421
transcript.whisperx[795].text 所以有地方的鄉親是建議可以交通部來去設置梅山纜車那他的路線可以從公園到老街那用纜車來去串聯太平雲梯除了是做交通上面的緩解之外也有觀光上面的意義我想針對相關的建制案我們之前有請交通部來去做評估不知道交通部現在評估的狀況如何
transcript.whisperx[796].start 22649.764
transcript.whisperx[796].end 22668.297
transcript.whisperx[796].text 跟委員報告一下,確實陳委員有邀集我們相關單位,那這個部分是我們阿里山管理處,確實洪處長也參與。那麼我們參與以後呢,我們其實因為還是要了解一下嘉義縣政府的看法。
transcript.whisperx[797].start 22670.699
transcript.whisperx[797].end 22683.929
transcript.whisperx[797].text 時間有限我們就直接針對我們這個人本交通的設施來做質詢部長你現在滿意國內的行人穿越線和屁股島的設置的狀況嗎?不滿意,非常不滿意部長你們認為25公尺長的行人穿越線大概需要幾秒鐘走完?
transcript.whisperx[798].start 22685.615
transcript.whisperx[798].end 22714.264
transcript.whisperx[798].text 二十五公尺應該是沒關係大概的數字就好了應該是三十秒吧那你們通常是設置幾秒鐘給新年總那我之所以問這個問題是因為其實包含我自己有些時候都會連我們這種甚至還是中年的這個狀況都不見得能夠走完那如果帶我的小朋友年輕人不是中年年輕人中年人我其實已經有數數了
transcript.whisperx[799].start 22716.203
transcript.whisperx[799].end 22719.307
transcript.whisperx[799].text 我們希望不管是交通的方式還是以人本交通為主那盡量是能夠配合這個新人的部分
transcript.whisperx[800].start 22734.224
transcript.whisperx[800].end 22761.057
transcript.whisperx[800].text 那其他的部分未來我們也會請交通部來針對人本交通設施包含這一個新能穿越道中的這個庇護島的設施我們是希望能夠有一些改進的一些做法那不要讓我們這邊背上新能地域的罵名那時間到這邊所以還是希望這個部分請交通部現在我們有四年四百億就會做這個設施那我覺得嘉義縣政府這邊可以盡量來申請我們的協助我們會
transcript.whisperx[801].start 22762.157
transcript.whisperx[801].end 22788.934
transcript.whisperx[801].text 告知下一線組請他們盡量申請謝謝陳委員現在請林月琴委員發言有請我們的交通部部長請王部長
transcript.whisperx[802].start 22795.372
transcript.whisperx[802].end 22808.684
transcript.whisperx[802].text 部長,台灣在少子化的年代,我覺得當孩子越生越少的時候,一個孩子都不能少。我也因為這樣子,一直很長期關心我們的兒少。
transcript.whisperx[803].start 22809.352
transcript.whisperx[803].end 22834.151
transcript.whisperx[803].text 所以今天就要來談一個問題就是說部長這幾天應該看到很多很令人難過的消息上個禮拜無照駕駛導致三話三明的國小孩童受到傷害這幾天又出現了桃園無照駕駛遭酒駕撞擊死亡一個17歲的孩子就這樣離開我們了我們辦公室在搜尋網路的時候光這兩個禮拜以來
transcript.whisperx[804].start 22835.572
transcript.whisperx[804].end 22845.184
transcript.whisperx[804].text 就已經將近有5起的5兆價值的事故上新聞這上新聞大家都嚴重沒上新聞的不知道又有多少來下一頁
transcript.whisperx[805].start 22846.952
transcript.whisperx[805].end 22867.882
transcript.whisperx[805].text 所以從張嬅三姊弟被無照駕駛的一個駕駛者撞傷後我很好奇的就是到底台灣無照駕駛到底有多嚴重所以我請我們辦公室同仁找過去這5年來的案件死傷人數也就是違規事故造成所有當事人死亡那運營所呢事實上針對於一名我們的
transcript.whisperx[806].start 22868.702
transcript.whisperx[806].end 22871.645
transcript.whisperx[806].text 一百八十四億元一百八十四億元來下一張也就是如果是酒價呢
transcript.whisperx[807].start 22887.977
transcript.whisperx[807].end 22888.157
transcript.whisperx[807].text 委員會主席
transcript.whisperx[808].start 22913.161
transcript.whisperx[808].end 22935.343
transcript.whisperx[808].text 我先花多少錢那個我請市長那個我覺得無照駕駛有幾個剛剛也看到彰化這是高齡啦高齡的部分另外有一票有一些是這個高中生高中生去我想說在在整個這個無照駕駛所造成的這個傷害的確非常的嚴重啦
transcript.whisperx[809].start 22936.184
transcript.whisperx[809].end 22952.172
transcript.whisperx[809].text 我個人是覺得當然是職網面一定要做另外一個是這個包括老人駕照的這些管理我覺得因為過去我們的確在75歲換照的當時有一個通融期以上那個不處理等等的這些課題
transcript.whisperx[810].start 22954.193
transcript.whisperx[810].end 22964.761
transcript.whisperx[810].text 高中生在教育單位裡面的要求等等的我想說這個部分這個我們會持續來重視這個部分因為最近很多的嚴重的這個車禍事態
transcript.whisperx[811].start 22984.114
transcript.whisperx[811].end 23000.252
transcript.whisperx[811].text 除了罰款以外這跟臺灣還蠻相近可是他們的罰款也比我們高可是他還有一些刑法上處罰甚至新加坡跟美國都有扣車的規定還有連帶處罰的一些相關的一個措施
transcript.whisperx[812].start 23000.872
transcript.whisperx[812].end 23025.923
transcript.whisperx[812].text 來下一頁那日本呢事實上也是過去他在10多年前因為曾經因為討論過無照的問題當時他們眾議院一直認為說這會議記錄跟修法的整個都顯示這兩者的死亡死亡的狀態事實上是一樣的甚至無照價值還更為嚴重所以他們把罰則整個都拉平了結果
transcript.whisperx[813].start 23026.833
transcript.whisperx[813].end 23027.714
transcript.whisperx[813].text 你知道這兩者有所差異嗎?
transcript.whisperx[814].start 23042.731
transcript.whisperx[814].end 23061.17
transcript.whisperx[814].text 既然這個成本事實上有這麼大的差異不知道對於這一塊我出乎感覺應該是酒駕會比較高然後但是我沒有這個數據我真的要請部長好好的去關注如果無照駕駛跟酒駕我們現在推算出來受傷死亡的量體如果橫比的話
transcript.whisperx[815].start 23061.718
transcript.whisperx[815].end 23083.366
transcript.whisperx[815].text 他們相差有5倍之多的話我認為無照駕駛真的要去關注尤其未成年無照駕駛所以可以看到我們不管是汽車跟機車在我們的標準化的一個傷亡率跟受傷無照駕駛都顯示的事實上是高出酒駕非常的多來下一頁
transcript.whisperx[816].start 23086.196
transcript.whisperx[816].end 23097.966
transcript.whisperx[816].text 我們的相關的措施這是我跟交通部所知的那個相關的裁罰數據那針對無照駕駛呢事實上取締的確你的取締量逐年上升
transcript.whisperx[817].start 23098.513
transcript.whisperx[817].end 23127.337
transcript.whisperx[817].text 可是在修法過罰金也增加了現在我們增加到兩萬四可是效果不大我們的連帶處罰我們有落實這個規定嗎?看起來沒有像一致保管車輛數我們查不到資料那吊扣牌照跟駕照的話可以看到這個數據都偏低像110年大概就只有0.8的無照駕駛他的車輛所有人會有連帶處罰我們剛剛提過就日本做了很多措施或其他國家
transcript.whisperx[818].start 23127.737
transcript.whisperx[818].end 23144.433
transcript.whisperx[818].text 但是我們似乎做的這部分事實上是不夠多的來下一頁那國內是臺灣酒駕房制社會關懷協會他就說扣車是最有效的可是我們扣車剛剛可以看到那個比例上並不高在下一頁所以在這邊
transcript.whisperx[819].start 23145.919
transcript.whisperx[819].end 23146.199
transcript.whisperx[819].text 委員發言完畢
transcript.whisperx[820].start 23170.39
transcript.whisperx[820].end 23175.627
transcript.whisperx[820].text 接下來請李玉玲委員、李玉玲委員、李玉玲委員不在
transcript.whisperx[821].start 23177.112
transcript.whisperx[821].end 23206.194
transcript.whisperx[821].text 現在請曾振淺委員、曾振淺委員、曾振淺委員不在現在請張家俊委員、張家俊委員、張家俊委員不在現在請蔡易瑜委員、蔡易瑜委員、蔡易瑜委員不在現在請王美惠委員、王美惠委員、王美惠委員不在現在請徐欣盈委員、徐欣盈委員、徐欣盈委員不在
transcript.whisperx[822].start 23207.174
transcript.whisperx[822].end 23233.847
transcript.whisperx[822].text 現在請陳俊宇委員陳俊宇委員陳俊宇委員不在現在請賴瑞隆委員賴瑞隆委員賴瑞隆委員不在現在請馬文君委員馬文君委員馬文君委員不在現在請莊瑞雄委員莊瑞雄委員莊瑞雄委員不在現在請傅坤祺委員
transcript.whisperx[823].start 23234.827
transcript.whisperx[823].end 23257.68
transcript.whisperx[823].text 副婚期委員.副婚期委員不在.現在請劉建國委員.劉建國委員.劉建國委員不在.現在請林楚英委員.林楚英委員.林楚英委員不在.現在請蘇清泉委員.蘇清泉委員.蘇清泉委員不在.
transcript.whisperx[824].start 23258.821
transcript.whisperx[824].end 23285.121
transcript.whisperx[824].text 現在請章祺凱委員.章祺凱委員.章祺凱委員不在登記質詢委員.均已發言完畢.做以下決定.報告及巡打完畢.委員.陳秀寶.蘇清泉.王宏威.劉建國.陳俊宇.所提書面質詢.列入記錄.並刊登公報
transcript.whisperx[825].start 23286.704
transcript.whisperx[825].end 23302.856
transcript.whisperx[825].text 委員與質詢中要求提供相關書面資料或未及答覆部分請交通部盡速以書面答覆本日議程處理完畢現在休息明日上午9點繼續開會