iVOD / 16183

Field Value
IVOD_ID 16183
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16183
日期 2024-10-18
會議資料.會議代碼 院會-11-2-5
會議資料.會議代碼:str 第11屆第2會期第5次會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 5
會議資料.種類 院會
會議資料.標題 第11屆第2會期第5次會議
影片種類 Full
開始時間 2024-10-18T08:30:15+08:00
結束時間 2024-10-18T17:33:00+08:00
影片長度 09:02:45
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a60997feb9f3194873d1ad9f551ce5fa921fc04c64b87e30630a60d9e82dc33cf1785ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-10-18T09:00:00+08:00
會議名稱 第11屆第2會期第5次會議(事由:一、對行政院院長施政報告繼續質詢。 二、10月18日上午9時至10時為國是論壇時間。 三、10月22日下午1時50分至2時30分為處理臨時提案時間。)
委員名稱 完整會議
委員發言時間 08:30:15 - 17:33:00
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 1796.72909375
transcript.pyannote[0].end 1798.58534375
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 1799.24346875
transcript.pyannote[1].end 1805.47034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 1822.64909375
transcript.pyannote[2].end 1824.58971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1825.26471875
transcript.pyannote[3].end 1828.65659375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1829.23034375
transcript.pyannote[4].end 1831.35659375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1832.20034375
transcript.pyannote[5].end 1838.12346875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 1838.89971875
transcript.pyannote[6].end 1839.70971875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1840.23284375
transcript.pyannote[7].end 1842.17346875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 1842.57846875
transcript.pyannote[8].end 1846.49346875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 1847.43846875
transcript.pyannote[9].end 1851.38721875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 1851.82596875
transcript.pyannote[10].end 1854.96471875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 1855.38659375
transcript.pyannote[11].end 1858.35659375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 1859.20034375
transcript.pyannote[12].end 1860.55034375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 1860.95534375
transcript.pyannote[13].end 1865.12346875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 1865.62971875
transcript.pyannote[14].end 1867.13159375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 1867.68846875
transcript.pyannote[15].end 1872.51471875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 1873.78034375
transcript.pyannote[16].end 1878.40409375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 1878.67409375
transcript.pyannote[17].end 1881.76221875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 1882.42034375
transcript.pyannote[18].end 1892.05596875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 1892.35971875
transcript.pyannote[19].end 1900.71284375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 1901.38784375
transcript.pyannote[20].end 1903.51409375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 1903.54784375
transcript.pyannote[21].end 1905.97784375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 1906.24784375
transcript.pyannote[22].end 1910.44971875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 1911.00659375
transcript.pyannote[23].end 1913.28471875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 1913.50409375
transcript.pyannote[24].end 1916.77784375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 1916.94659375
transcript.pyannote[25].end 1921.45221875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 1921.50284375
transcript.pyannote[26].end 1929.90659375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 1930.58159375
transcript.pyannote[27].end 1940.79096875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 1941.07784375
transcript.pyannote[28].end 1948.60409375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 1948.89096875
transcript.pyannote[29].end 1960.07909375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 1960.41659375
transcript.pyannote[30].end 1964.31471875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 1964.58471875
transcript.pyannote[31].end 1966.12034375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 1966.25534375
transcript.pyannote[32].end 1986.38721875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 1987.28159375
transcript.pyannote[33].end 1987.78784375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 1988.64846875
transcript.pyannote[34].end 1988.76659375
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 1989.62721875
transcript.pyannote[35].end 1994.09909375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 2010.48471875
transcript.pyannote[36].end 2011.27784375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 2011.95284375
transcript.pyannote[37].end 2013.30284375
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 2013.99471875
transcript.pyannote[38].end 2014.87221875
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 2015.32784375
transcript.pyannote[39].end 2016.22221875
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 2016.44159375
transcript.pyannote[40].end 2017.25159375
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 2018.04471875
transcript.pyannote[41].end 2019.91784375
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 2021.72346875
transcript.pyannote[42].end 2022.60096875
transcript.pyannote[43].speaker SPEAKER_05
transcript.pyannote[43].start 2023.34346875
transcript.pyannote[43].end 2025.67221875
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 2027.00534375
transcript.pyannote[44].end 2028.33846875
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 2029.55346875
transcript.pyannote[45].end 2031.03846875
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 2032.01721875
transcript.pyannote[46].end 2033.21534375
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 2033.99159375
transcript.pyannote[47].end 2035.74659375
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 2036.69159375
transcript.pyannote[48].end 2040.65721875
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 2041.14659375
transcript.pyannote[49].end 2042.78346875
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 2043.61034375
transcript.pyannote[50].end 2049.36471875
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 2049.70221875
transcript.pyannote[51].end 2054.22471875
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 2054.66346875
transcript.pyannote[52].end 2056.04721875
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 2057.04284375
transcript.pyannote[53].end 2058.89909375
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 2059.97909375
transcript.pyannote[54].end 2061.41346875
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 2062.71284375
transcript.pyannote[55].end 2064.72096875
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 2065.32846875
transcript.pyannote[56].end 2066.12159375
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 2066.40846875
transcript.pyannote[57].end 2067.08346875
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 2068.60221875
transcript.pyannote[58].end 2070.30659375
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 2071.75784375
transcript.pyannote[59].end 2073.68159375
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 2074.82909375
transcript.pyannote[60].end 2077.24221875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 2079.19971875
transcript.pyannote[61].end 2081.32596875
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 2082.25409375
transcript.pyannote[62].end 2085.03846875
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 2086.28721875
transcript.pyannote[63].end 2088.07596875
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 2088.39659375
transcript.pyannote[64].end 2091.38346875
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 2092.48034375
transcript.pyannote[65].end 2093.18909375
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 2093.57721875
transcript.pyannote[66].end 2094.03284375
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 2094.60659375
transcript.pyannote[67].end 2095.24784375
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 2095.95659375
transcript.pyannote[68].end 2098.03221875
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 2099.14596875
transcript.pyannote[69].end 2100.27659375
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 2100.83346875
transcript.pyannote[70].end 2104.22534375
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 2105.65971875
transcript.pyannote[71].end 2110.95846875
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 2111.34659375
transcript.pyannote[72].end 2113.62471875
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 2113.84409375
transcript.pyannote[73].end 2117.42159375
transcript.pyannote[74].speaker SPEAKER_05
transcript.pyannote[74].start 2118.19784375
transcript.pyannote[74].end 2120.42534375
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 2121.18471875
transcript.pyannote[75].end 2124.42471875
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 2125.23471875
transcript.pyannote[76].end 2126.48346875
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 2126.51721875
transcript.pyannote[77].end 2132.62596875
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 2134.09409375
transcript.pyannote[78].end 2136.28784375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 2137.13159375
transcript.pyannote[79].end 2139.57846875
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 2140.40534375
transcript.pyannote[80].end 2149.11284375
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 2149.45034375
transcript.pyannote[81].end 2150.61471875
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 2151.07034375
transcript.pyannote[82].end 2152.48784375
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 2152.96034375
transcript.pyannote[83].end 2162.03909375
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 2162.47784375
transcript.pyannote[84].end 2171.03346875
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 2171.62409375
transcript.pyannote[85].end 2172.68721875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 2173.37909375
transcript.pyannote[86].end 2182.00221875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 2182.89659375
transcript.pyannote[87].end 2185.95096875
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 2186.74409375
transcript.pyannote[88].end 2188.81971875
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 2189.42721875
transcript.pyannote[89].end 2193.07221875
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 2195.09721875
transcript.pyannote[90].end 2199.63659375
transcript.pyannote[91].speaker SPEAKER_14
transcript.pyannote[91].start 2217.22034375
transcript.pyannote[91].end 2227.31159375
transcript.pyannote[92].speaker SPEAKER_14
transcript.pyannote[92].start 2228.08784375
transcript.pyannote[92].end 2229.69096875
transcript.pyannote[93].speaker SPEAKER_14
transcript.pyannote[93].start 2229.91034375
transcript.pyannote[93].end 2231.26034375
transcript.pyannote[94].speaker SPEAKER_14
transcript.pyannote[94].start 2231.71596875
transcript.pyannote[94].end 2232.89721875
transcript.pyannote[95].speaker SPEAKER_14
transcript.pyannote[95].start 2232.94784375
transcript.pyannote[95].end 2239.76534375
transcript.pyannote[96].speaker SPEAKER_14
transcript.pyannote[96].start 2240.17034375
transcript.pyannote[96].end 2256.77534375
transcript.pyannote[97].speaker SPEAKER_14
transcript.pyannote[97].start 2257.18034375
transcript.pyannote[97].end 2263.99784375
transcript.pyannote[98].speaker SPEAKER_14
transcript.pyannote[98].start 2264.55471875
transcript.pyannote[98].end 2274.64596875
transcript.pyannote[99].speaker SPEAKER_14
transcript.pyannote[99].start 2275.18596875
transcript.pyannote[99].end 2278.52721875
transcript.pyannote[100].speaker SPEAKER_14
transcript.pyannote[100].start 2278.93221875
transcript.pyannote[100].end 2284.93971875
transcript.pyannote[101].speaker SPEAKER_14
transcript.pyannote[101].start 2285.36159375
transcript.pyannote[101].end 2311.06221875
transcript.pyannote[102].speaker SPEAKER_14
transcript.pyannote[102].start 2311.65284375
transcript.pyannote[102].end 2322.35159375
transcript.pyannote[103].speaker SPEAKER_14
transcript.pyannote[103].start 2322.40221875
transcript.pyannote[103].end 2322.43596875
transcript.pyannote[104].speaker SPEAKER_14
transcript.pyannote[104].start 2322.57096875
transcript.pyannote[104].end 2324.88284375
transcript.pyannote[105].speaker SPEAKER_14
transcript.pyannote[105].start 2325.38909375
transcript.pyannote[105].end 2331.37971875
transcript.pyannote[106].speaker SPEAKER_14
transcript.pyannote[106].start 2331.81846875
transcript.pyannote[106].end 2336.64471875
transcript.pyannote[107].speaker SPEAKER_14
transcript.pyannote[107].start 2336.76284375
transcript.pyannote[107].end 2394.22221875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 2388.99096875
transcript.pyannote[108].end 2389.12596875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 2389.27784375
transcript.pyannote[109].end 2389.29471875
transcript.pyannote[110].speaker SPEAKER_14
transcript.pyannote[110].start 2394.91409375
transcript.pyannote[110].end 2398.71096875
transcript.pyannote[111].speaker SPEAKER_14
transcript.pyannote[111].start 2399.20034375
transcript.pyannote[111].end 2401.95096875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 2405.88284375
transcript.pyannote[112].end 2410.23659375
transcript.pyannote[113].speaker SPEAKER_06
transcript.pyannote[113].start 2423.85471875
transcript.pyannote[113].end 2426.60534375
transcript.pyannote[114].speaker SPEAKER_06
transcript.pyannote[114].start 2427.06096875
transcript.pyannote[114].end 2428.36034375
transcript.pyannote[115].speaker SPEAKER_06
transcript.pyannote[115].start 2428.52909375
transcript.pyannote[115].end 2436.83159375
transcript.pyannote[116].speaker SPEAKER_06
transcript.pyannote[116].start 2437.52346875
transcript.pyannote[116].end 2438.14784375
transcript.pyannote[117].speaker SPEAKER_06
transcript.pyannote[117].start 2439.14346875
transcript.pyannote[117].end 2443.48034375
transcript.pyannote[118].speaker SPEAKER_06
transcript.pyannote[118].start 2443.71659375
transcript.pyannote[118].end 2449.25159375
transcript.pyannote[119].speaker SPEAKER_06
transcript.pyannote[119].start 2449.82534375
transcript.pyannote[119].end 2454.16221875
transcript.pyannote[120].speaker SPEAKER_06
transcript.pyannote[120].start 2454.53346875
transcript.pyannote[120].end 2458.81971875
transcript.pyannote[121].speaker SPEAKER_06
transcript.pyannote[121].start 2459.24159375
transcript.pyannote[121].end 2465.77221875
transcript.pyannote[122].speaker SPEAKER_06
transcript.pyannote[122].start 2466.26159375
transcript.pyannote[122].end 2479.28909375
transcript.pyannote[123].speaker SPEAKER_06
transcript.pyannote[123].start 2479.84596875
transcript.pyannote[123].end 2481.93846875
transcript.pyannote[124].speaker SPEAKER_06
transcript.pyannote[124].start 2482.39409375
transcript.pyannote[124].end 2496.50159375
transcript.pyannote[125].speaker SPEAKER_06
transcript.pyannote[125].start 2497.36221875
transcript.pyannote[125].end 2500.02846875
transcript.pyannote[126].speaker SPEAKER_06
transcript.pyannote[126].start 2500.07909375
transcript.pyannote[126].end 2538.73971875
transcript.pyannote[127].speaker SPEAKER_06
transcript.pyannote[127].start 2539.14471875
transcript.pyannote[127].end 2549.64096875
transcript.pyannote[128].speaker SPEAKER_06
transcript.pyannote[128].start 2550.09659375
transcript.pyannote[128].end 2553.11721875
transcript.pyannote[129].speaker SPEAKER_06
transcript.pyannote[129].start 2553.38721875
transcript.pyannote[129].end 2558.06159375
transcript.pyannote[130].speaker SPEAKER_06
transcript.pyannote[130].start 2558.43284375
transcript.pyannote[130].end 2568.13596875
transcript.pyannote[131].speaker SPEAKER_06
transcript.pyannote[131].start 2568.60846875
transcript.pyannote[131].end 2570.92034375
transcript.pyannote[132].speaker SPEAKER_06
transcript.pyannote[132].start 2571.30846875
transcript.pyannote[132].end 2572.99596875
transcript.pyannote[133].speaker SPEAKER_06
transcript.pyannote[133].start 2573.29971875
transcript.pyannote[133].end 2584.08284375
transcript.pyannote[134].speaker SPEAKER_06
transcript.pyannote[134].start 2584.60596875
transcript.pyannote[134].end 2586.04034375
transcript.pyannote[135].speaker SPEAKER_06
transcript.pyannote[135].start 2586.52971875
transcript.pyannote[135].end 2592.68909375
transcript.pyannote[136].speaker SPEAKER_06
transcript.pyannote[136].start 2593.22909375
transcript.pyannote[136].end 2604.19784375
transcript.pyannote[137].speaker SPEAKER_06
transcript.pyannote[137].start 2604.28221875
transcript.pyannote[137].end 2606.57721875
transcript.pyannote[138].speaker SPEAKER_06
transcript.pyannote[138].start 2606.74596875
transcript.pyannote[138].end 2607.15096875
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 2608.63596875
transcript.pyannote[139].end 2610.74534375
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 2611.15034375
transcript.pyannote[140].end 2614.28909375
transcript.pyannote[141].speaker SPEAKER_23
transcript.pyannote[141].start 2625.12284375
transcript.pyannote[141].end 2626.72596875
transcript.pyannote[142].speaker SPEAKER_23
transcript.pyannote[142].start 2627.13096875
transcript.pyannote[142].end 2629.56096875
transcript.pyannote[143].speaker SPEAKER_23
transcript.pyannote[143].start 2630.32034375
transcript.pyannote[143].end 2634.52221875
transcript.pyannote[144].speaker SPEAKER_23
transcript.pyannote[144].start 2634.64034375
transcript.pyannote[144].end 2638.82534375
transcript.pyannote[145].speaker SPEAKER_23
transcript.pyannote[145].start 2639.56784375
transcript.pyannote[145].end 2648.24159375
transcript.pyannote[146].speaker SPEAKER_23
transcript.pyannote[146].start 2648.35971875
transcript.pyannote[146].end 2659.83471875
transcript.pyannote[147].speaker SPEAKER_23
transcript.pyannote[147].start 2660.35784375
transcript.pyannote[147].end 2665.26846875
transcript.pyannote[148].speaker SPEAKER_23
transcript.pyannote[148].start 2665.82534375
transcript.pyannote[148].end 2672.28846875
transcript.pyannote[149].speaker SPEAKER_23
transcript.pyannote[149].start 2672.62596875
transcript.pyannote[149].end 2676.25409375
transcript.pyannote[150].speaker SPEAKER_23
transcript.pyannote[150].start 2676.59159375
transcript.pyannote[150].end 2684.10096875
transcript.pyannote[151].speaker SPEAKER_23
transcript.pyannote[151].start 2684.69159375
transcript.pyannote[151].end 2688.72471875
transcript.pyannote[152].speaker SPEAKER_23
transcript.pyannote[152].start 2688.79221875
transcript.pyannote[152].end 2693.33159375
transcript.pyannote[153].speaker SPEAKER_23
transcript.pyannote[153].start 2693.82096875
transcript.pyannote[153].end 2696.89221875
transcript.pyannote[154].speaker SPEAKER_23
transcript.pyannote[154].start 2697.29721875
transcript.pyannote[154].end 2700.89159375
transcript.pyannote[155].speaker SPEAKER_23
transcript.pyannote[155].start 2701.29659375
transcript.pyannote[155].end 2707.54034375
transcript.pyannote[156].speaker SPEAKER_23
transcript.pyannote[156].start 2707.86096875
transcript.pyannote[156].end 2718.39096875
transcript.pyannote[157].speaker SPEAKER_23
transcript.pyannote[157].start 2718.88034375
transcript.pyannote[157].end 2728.19534375
transcript.pyannote[158].speaker SPEAKER_23
transcript.pyannote[158].start 2728.63409375
transcript.pyannote[158].end 2733.66284375
transcript.pyannote[159].speaker SPEAKER_23
transcript.pyannote[159].start 2734.05096875
transcript.pyannote[159].end 2735.90721875
transcript.pyannote[160].speaker SPEAKER_23
transcript.pyannote[160].start 2736.14346875
transcript.pyannote[160].end 2739.33284375
transcript.pyannote[161].speaker SPEAKER_23
transcript.pyannote[161].start 2739.72096875
transcript.pyannote[161].end 2743.55159375
transcript.pyannote[162].speaker SPEAKER_23
transcript.pyannote[162].start 2743.92284375
transcript.pyannote[162].end 2747.55096875
transcript.pyannote[163].speaker SPEAKER_23
transcript.pyannote[163].start 2747.92221875
transcript.pyannote[163].end 2750.35221875
transcript.pyannote[164].speaker SPEAKER_23
transcript.pyannote[164].start 2750.67284375
transcript.pyannote[164].end 2754.84096875
transcript.pyannote[165].speaker SPEAKER_23
transcript.pyannote[165].start 2755.26284375
transcript.pyannote[165].end 2787.66284375
transcript.pyannote[166].speaker SPEAKER_23
transcript.pyannote[166].start 2787.94971875
transcript.pyannote[166].end 2792.25284375
transcript.pyannote[167].speaker SPEAKER_23
transcript.pyannote[167].start 2792.57346875
transcript.pyannote[167].end 2808.35159375
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 2811.74346875
transcript.pyannote[168].end 2818.93221875
transcript.pyannote[169].speaker SPEAKER_24
transcript.pyannote[169].start 5406.57846875
transcript.pyannote[169].end 5408.40096875
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 5408.77221875
transcript.pyannote[170].end 5413.00784375
transcript.pyannote[171].speaker SPEAKER_24
transcript.pyannote[171].start 5414.12159375
transcript.pyannote[171].end 5417.54721875
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 5418.69471875
transcript.pyannote[172].end 5429.84909375
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 5430.81096875
transcript.pyannote[173].end 5440.78409375
transcript.pyannote[174].speaker SPEAKER_12
transcript.pyannote[174].start 5441.37471875
transcript.pyannote[174].end 5470.33221875
transcript.pyannote[175].speaker SPEAKER_12
transcript.pyannote[175].start 5471.04096875
transcript.pyannote[175].end 5476.33971875
transcript.pyannote[176].speaker SPEAKER_12
transcript.pyannote[176].start 5476.69409375
transcript.pyannote[176].end 5482.21221875
transcript.pyannote[177].speaker SPEAKER_12
transcript.pyannote[177].start 5482.26284375
transcript.pyannote[177].end 5489.11409375
transcript.pyannote[178].speaker SPEAKER_12
transcript.pyannote[178].start 5489.29971875
transcript.pyannote[178].end 5492.25284375
transcript.pyannote[179].speaker SPEAKER_12
transcript.pyannote[179].start 5493.16409375
transcript.pyannote[179].end 5512.48596875
transcript.pyannote[180].speaker SPEAKER_12
transcript.pyannote[180].start 5513.22846875
transcript.pyannote[180].end 5514.03846875
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 5515.94534375
transcript.pyannote[181].end 5516.70471875
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 5517.36284375
transcript.pyannote[182].end 5520.50159375
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 5523.33659375
transcript.pyannote[183].end 5524.65284375
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 5527.13346875
transcript.pyannote[184].end 5527.70721875
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 5529.56346875
transcript.pyannote[185].end 5531.28471875
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 5533.64721875
transcript.pyannote[186].end 5534.52471875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 5537.62971875
transcript.pyannote[187].end 5539.18221875
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 5537.93346875
transcript.pyannote[188].end 5538.62534375
transcript.pyannote[189].speaker SPEAKER_25
transcript.pyannote[189].start 5544.73409375
transcript.pyannote[189].end 5544.75096875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 5544.75096875
transcript.pyannote[190].end 5545.54409375
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 5546.50596875
transcript.pyannote[191].end 5548.69971875
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 5549.30721875
transcript.pyannote[192].end 5552.54721875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 5552.69909375
transcript.pyannote[193].end 5553.61034375
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 6002.82284375
transcript.pyannote[194].end 6003.78471875
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 6004.39221875
transcript.pyannote[195].end 6006.60284375
transcript.pyannote[196].speaker SPEAKER_04
transcript.pyannote[196].start 6006.77159375
transcript.pyannote[196].end 6009.01596875
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 6011.10846875
transcript.pyannote[197].end 6013.36971875
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 6015.76596875
transcript.pyannote[198].end 6019.81596875
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 6020.44034375
transcript.pyannote[199].end 6026.32971875
transcript.pyannote[200].speaker SPEAKER_04
transcript.pyannote[200].start 6028.11846875
transcript.pyannote[200].end 6028.52346875
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 6030.37971875
transcript.pyannote[201].end 6032.37096875
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 6032.94471875
transcript.pyannote[202].end 6034.44659375
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 6035.27346875
transcript.pyannote[203].end 6044.92596875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 6045.46596875
transcript.pyannote[204].end 6046.24221875
transcript.pyannote[205].speaker SPEAKER_25
transcript.pyannote[205].start 6126.82034375
transcript.pyannote[205].end 6130.58346875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 6128.57534375
transcript.pyannote[206].end 6128.64284375
transcript.pyannote[207].speaker SPEAKER_21
transcript.pyannote[207].start 6128.64284375
transcript.pyannote[207].end 6129.25034375
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 6129.25034375
transcript.pyannote[208].end 6129.48659375
transcript.pyannote[209].speaker SPEAKER_25
transcript.pyannote[209].start 6130.98846875
transcript.pyannote[209].end 6131.03909375
transcript.pyannote[210].speaker SPEAKER_25
transcript.pyannote[210].start 6131.22471875
transcript.pyannote[210].end 6132.94596875
transcript.pyannote[211].speaker SPEAKER_25
transcript.pyannote[211].start 6132.96284375
transcript.pyannote[211].end 6136.75971875
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 6142.76721875
transcript.pyannote[212].end 6143.66159375
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 6483.57471875
transcript.pyannote[213].end 6484.28346875
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 6484.72221875
transcript.pyannote[214].end 6487.70909375
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 6498.08721875
transcript.pyannote[215].end 6498.69471875
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 6506.64284375
transcript.pyannote[216].end 6510.67596875
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 6511.18221875
transcript.pyannote[217].end 6512.90346875
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 6513.44346875
transcript.pyannote[218].end 6514.21971875
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 6514.65846875
transcript.pyannote[219].end 6515.92409375
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 6516.91971875
transcript.pyannote[220].end 6518.40471875
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 6518.92784375
transcript.pyannote[221].end 6534.65534375
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 6535.21221875
transcript.pyannote[222].end 6541.55721875
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 6613.81596875
transcript.pyannote[223].end 6623.56971875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 6624.12659375
transcript.pyannote[224].end 6627.09659375
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 6627.82221875
transcript.pyannote[225].end 6632.14221875
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 6632.80034375
transcript.pyannote[226].end 6642.75659375
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 6643.66784375
transcript.pyannote[227].end 6646.97534375
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 6647.24534375
transcript.pyannote[228].end 6664.10346875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 6664.72784375
transcript.pyannote[229].end 6668.28846875
transcript.pyannote[230].speaker SPEAKER_12
transcript.pyannote[230].start 6669.36846875
transcript.pyannote[230].end 6675.37596875
transcript.pyannote[231].speaker SPEAKER_12
transcript.pyannote[231].start 6675.67971875
transcript.pyannote[231].end 6689.11221875
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 6688.15034375
transcript.pyannote[232].end 6692.38596875
transcript.pyannote[233].speaker SPEAKER_04
transcript.pyannote[233].start 6693.46596875
transcript.pyannote[233].end 6697.17846875
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 6697.68471875
transcript.pyannote[234].end 6701.12721875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 6701.59971875
transcript.pyannote[235].end 6702.91596875
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 6703.60784375
transcript.pyannote[236].end 6705.59909375
transcript.pyannote[237].speaker SPEAKER_12
transcript.pyannote[237].start 6706.07159375
transcript.pyannote[237].end 6723.57096875
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 6723.89159375
transcript.pyannote[238].end 6726.96284375
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 6727.78971875
transcript.pyannote[239].end 6731.82284375
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 6733.08846875
transcript.pyannote[240].end 6744.96846875
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 6745.91346875
transcript.pyannote[241].end 6750.80721875
transcript.pyannote[242].speaker SPEAKER_24
transcript.pyannote[242].start 6751.78596875
transcript.pyannote[242].end 6752.61284375
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 6753.97971875
transcript.pyannote[243].end 6753.99659375
transcript.pyannote[244].speaker SPEAKER_24
transcript.pyannote[244].start 6753.99659375
transcript.pyannote[244].end 6758.41784375
transcript.pyannote[245].speaker SPEAKER_24
transcript.pyannote[245].start 6758.55284375
transcript.pyannote[245].end 6764.99909375
transcript.pyannote[246].speaker SPEAKER_24
transcript.pyannote[246].start 6765.28596875
transcript.pyannote[246].end 6774.92159375
transcript.pyannote[247].speaker SPEAKER_24
transcript.pyannote[247].start 6775.29284375
transcript.pyannote[247].end 6780.69284375
transcript.pyannote[248].speaker SPEAKER_24
transcript.pyannote[248].start 6781.57034375
transcript.pyannote[248].end 6785.56971875
transcript.pyannote[249].speaker SPEAKER_24
transcript.pyannote[249].start 6785.89034375
transcript.pyannote[249].end 6787.12221875
transcript.pyannote[250].speaker SPEAKER_24
transcript.pyannote[250].start 6788.33721875
transcript.pyannote[250].end 6789.88971875
transcript.pyannote[251].speaker SPEAKER_24
transcript.pyannote[251].start 6789.95721875
transcript.pyannote[251].end 6794.58096875
transcript.pyannote[252].speaker SPEAKER_24
transcript.pyannote[252].start 6794.88471875
transcript.pyannote[252].end 6796.03221875
transcript.pyannote[253].speaker SPEAKER_24
transcript.pyannote[253].start 6797.12909375
transcript.pyannote[253].end 6799.39034375
transcript.pyannote[254].speaker SPEAKER_24
transcript.pyannote[254].start 6799.98096875
transcript.pyannote[254].end 6831.25034375
transcript.pyannote[255].speaker SPEAKER_24
transcript.pyannote[255].start 6832.39784375
transcript.pyannote[255].end 6836.46471875
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 6837.24096875
transcript.pyannote[256].end 6844.81784375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 6845.18909375
transcript.pyannote[257].end 6847.63596875
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 6848.34471875
transcript.pyannote[258].end 6851.12909375
transcript.pyannote[259].speaker SPEAKER_12
transcript.pyannote[259].start 6851.73659375
transcript.pyannote[259].end 6852.51284375
transcript.pyannote[260].speaker SPEAKER_12
transcript.pyannote[260].start 6852.73221875
transcript.pyannote[260].end 6862.31721875
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 6862.45221875
transcript.pyannote[261].end 6866.75534375
transcript.pyannote[262].speaker SPEAKER_04
transcript.pyannote[262].start 6867.17721875
transcript.pyannote[262].end 6870.29909375
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 6871.95284375
transcript.pyannote[263].end 6874.46721875
transcript.pyannote[264].speaker SPEAKER_04
transcript.pyannote[264].start 6874.82159375
transcript.pyannote[264].end 6875.58096875
transcript.pyannote[265].speaker SPEAKER_04
transcript.pyannote[265].start 6875.76659375
transcript.pyannote[265].end 6876.23909375
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 6876.62721875
transcript.pyannote[266].end 6881.47034375
transcript.pyannote[267].speaker SPEAKER_12
transcript.pyannote[267].start 6882.09471875
transcript.pyannote[267].end 6891.89909375
transcript.pyannote[268].speaker SPEAKER_04
transcript.pyannote[268].start 6891.98346875
transcript.pyannote[268].end 6892.94534375
transcript.pyannote[269].speaker SPEAKER_04
transcript.pyannote[269].start 6893.48534375
transcript.pyannote[269].end 6894.49784375
transcript.pyannote[270].speaker SPEAKER_12
transcript.pyannote[270].start 6894.78471875
transcript.pyannote[270].end 6905.87159375
transcript.pyannote[271].speaker SPEAKER_04
transcript.pyannote[271].start 6905.88846875
transcript.pyannote[271].end 6913.56659375
transcript.pyannote[272].speaker SPEAKER_04
transcript.pyannote[272].start 6913.90409375
transcript.pyannote[272].end 6914.95034375
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 6917.39721875
transcript.pyannote[273].end 6917.81909375
transcript.pyannote[274].speaker SPEAKER_04
transcript.pyannote[274].start 6918.62909375
transcript.pyannote[274].end 6919.08471875
transcript.pyannote[275].speaker SPEAKER_04
transcript.pyannote[275].start 6919.35471875
transcript.pyannote[275].end 6921.36284375
transcript.pyannote[276].speaker SPEAKER_04
transcript.pyannote[276].start 6921.71721875
transcript.pyannote[276].end 6922.57784375
transcript.pyannote[277].speaker SPEAKER_04
transcript.pyannote[277].start 6922.83096875
transcript.pyannote[277].end 6924.19784375
transcript.pyannote[278].speaker SPEAKER_04
transcript.pyannote[278].start 6924.82221875
transcript.pyannote[278].end 6927.62346875
transcript.pyannote[279].speaker SPEAKER_04
transcript.pyannote[279].start 6927.82596875
transcript.pyannote[279].end 6930.07034375
transcript.pyannote[280].speaker SPEAKER_04
transcript.pyannote[280].start 6930.20534375
transcript.pyannote[280].end 6930.84659375
transcript.pyannote[281].speaker SPEAKER_24
transcript.pyannote[281].start 7022.29221875
transcript.pyannote[281].end 7022.32596875
transcript.pyannote[282].speaker SPEAKER_25
transcript.pyannote[282].start 7022.32596875
transcript.pyannote[282].end 7023.72659375
transcript.pyannote[283].speaker SPEAKER_24
transcript.pyannote[283].start 7023.72659375
transcript.pyannote[283].end 7024.03034375
transcript.pyannote[284].speaker SPEAKER_25
transcript.pyannote[284].start 7024.03034375
transcript.pyannote[284].end 7026.02159375
transcript.pyannote[285].speaker SPEAKER_24
transcript.pyannote[285].start 7026.02159375
transcript.pyannote[285].end 7026.46034375
transcript.pyannote[286].speaker SPEAKER_04
transcript.pyannote[286].start 7026.46034375
transcript.pyannote[286].end 7028.35034375
transcript.pyannote[287].speaker SPEAKER_24
transcript.pyannote[287].start 7026.49409375
transcript.pyannote[287].end 7026.52784375
transcript.pyannote[288].speaker SPEAKER_25
transcript.pyannote[288].start 7026.52784375
transcript.pyannote[288].end 7027.96221875
transcript.pyannote[289].speaker SPEAKER_04
transcript.pyannote[289].start 7029.95346875
transcript.pyannote[289].end 7030.64534375
transcript.pyannote[290].speaker SPEAKER_04
transcript.pyannote[290].start 7032.41721875
transcript.pyannote[290].end 7035.48846875
transcript.pyannote[291].speaker SPEAKER_04
transcript.pyannote[291].start 7036.58534375
transcript.pyannote[291].end 7038.77909375
transcript.pyannote[292].speaker SPEAKER_04
transcript.pyannote[292].start 7039.16721875
transcript.pyannote[292].end 7042.22159375
transcript.pyannote[293].speaker SPEAKER_04
transcript.pyannote[293].start 7043.18346875
transcript.pyannote[293].end 7049.56221875
transcript.pyannote[294].speaker SPEAKER_04
transcript.pyannote[294].start 7049.79846875
transcript.pyannote[294].end 7054.38846875
transcript.pyannote[295].speaker SPEAKER_04
transcript.pyannote[295].start 7054.97909375
transcript.pyannote[295].end 7055.58659375
transcript.pyannote[296].speaker SPEAKER_25
transcript.pyannote[296].start 7138.64534375
transcript.pyannote[296].end 7142.17221875
transcript.pyannote[297].speaker SPEAKER_04
transcript.pyannote[297].start 7139.74221875
transcript.pyannote[297].end 7142.83034375
transcript.pyannote[298].speaker SPEAKER_25
transcript.pyannote[298].start 7142.83034375
transcript.pyannote[298].end 7142.84721875
transcript.pyannote[299].speaker SPEAKER_25
transcript.pyannote[299].start 7171.87221875
transcript.pyannote[299].end 7172.17596875
transcript.pyannote[300].speaker SPEAKER_04
transcript.pyannote[300].start 7172.17596875
transcript.pyannote[300].end 7175.95596875
transcript.pyannote[301].speaker SPEAKER_04
transcript.pyannote[301].start 7176.90096875
transcript.pyannote[301].end 7178.30159375
transcript.pyannote[302].speaker SPEAKER_04
transcript.pyannote[302].start 7179.24659375
transcript.pyannote[302].end 7180.83284375
transcript.pyannote[303].speaker SPEAKER_04
transcript.pyannote[303].start 7182.87471875
transcript.pyannote[303].end 7183.44846875
transcript.pyannote[304].speaker SPEAKER_04
transcript.pyannote[304].start 7183.90409375
transcript.pyannote[304].end 7185.82784375
transcript.pyannote[305].speaker SPEAKER_04
transcript.pyannote[305].start 7186.40159375
transcript.pyannote[305].end 7192.93221875
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 7193.18534375
transcript.pyannote[306].end 7199.44596875
transcript.pyannote[307].speaker SPEAKER_12
transcript.pyannote[307].start 7199.66534375
transcript.pyannote[307].end 7210.65096875
transcript.pyannote[308].speaker SPEAKER_04
transcript.pyannote[308].start 7211.19096875
transcript.pyannote[308].end 7213.04721875
transcript.pyannote[309].speaker SPEAKER_12
transcript.pyannote[309].start 7214.02596875
transcript.pyannote[309].end 7225.72034375
transcript.pyannote[310].speaker SPEAKER_04
transcript.pyannote[310].start 7225.77096875
transcript.pyannote[310].end 7227.61034375
transcript.pyannote[311].speaker SPEAKER_12
transcript.pyannote[311].start 7227.88034375
transcript.pyannote[311].end 7239.64221875
transcript.pyannote[312].speaker SPEAKER_04
transcript.pyannote[312].start 7239.92909375
transcript.pyannote[312].end 7240.82346875
transcript.pyannote[313].speaker SPEAKER_12
transcript.pyannote[313].start 7241.05971875
transcript.pyannote[313].end 7241.85284375
transcript.pyannote[314].speaker SPEAKER_12
transcript.pyannote[314].start 7241.93721875
transcript.pyannote[314].end 7253.80034375
transcript.pyannote[315].speaker SPEAKER_04
transcript.pyannote[315].start 7253.91846875
transcript.pyannote[315].end 7255.09971875
transcript.pyannote[316].speaker SPEAKER_12
transcript.pyannote[316].start 7255.38659375
transcript.pyannote[316].end 7256.16284375
transcript.pyannote[317].speaker SPEAKER_12
transcript.pyannote[317].start 7257.17534375
transcript.pyannote[317].end 7269.34221875
transcript.pyannote[318].speaker SPEAKER_04
transcript.pyannote[318].start 7264.14471875
transcript.pyannote[318].end 7264.24596875
transcript.pyannote[319].speaker SPEAKER_04
transcript.pyannote[319].start 7268.54909375
transcript.pyannote[319].end 7273.99971875
transcript.pyannote[320].speaker SPEAKER_12
transcript.pyannote[320].start 7272.70034375
transcript.pyannote[320].end 7281.45846875
transcript.pyannote[321].speaker SPEAKER_12
transcript.pyannote[321].start 7282.35284375
transcript.pyannote[321].end 7284.95159375
transcript.pyannote[322].speaker SPEAKER_12
transcript.pyannote[322].start 7285.25534375
transcript.pyannote[322].end 7286.06534375
transcript.pyannote[323].speaker SPEAKER_04
transcript.pyannote[323].start 7287.75284375
transcript.pyannote[323].end 7288.78221875
transcript.pyannote[324].speaker SPEAKER_12
transcript.pyannote[324].start 7289.89596875
transcript.pyannote[324].end 7300.15596875
transcript.pyannote[325].speaker SPEAKER_04
transcript.pyannote[325].start 7300.15596875
transcript.pyannote[325].end 7301.10096875
transcript.pyannote[326].speaker SPEAKER_12
transcript.pyannote[326].start 7300.17284375
transcript.pyannote[326].end 7300.18971875
transcript.pyannote[327].speaker SPEAKER_12
transcript.pyannote[327].start 7302.07971875
transcript.pyannote[327].end 7307.58096875
transcript.pyannote[328].speaker SPEAKER_12
transcript.pyannote[328].start 7307.93534375
transcript.pyannote[328].end 7311.42846875
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 7311.42846875
transcript.pyannote[329].end 7312.37346875
transcript.pyannote[330].speaker SPEAKER_12
transcript.pyannote[330].start 7313.97659375
transcript.pyannote[330].end 7321.01346875
transcript.pyannote[331].speaker SPEAKER_12
transcript.pyannote[331].start 7321.26659375
transcript.pyannote[331].end 7324.67534375
transcript.pyannote[332].speaker SPEAKER_04
transcript.pyannote[332].start 7324.69221875
transcript.pyannote[332].end 7325.67096875
transcript.pyannote[333].speaker SPEAKER_12
transcript.pyannote[333].start 7328.13471875
transcript.pyannote[333].end 7334.69909375
transcript.pyannote[334].speaker SPEAKER_12
transcript.pyannote[334].start 7334.93534375
transcript.pyannote[334].end 7339.50846875
transcript.pyannote[335].speaker SPEAKER_04
transcript.pyannote[335].start 7339.47471875
transcript.pyannote[335].end 7340.47034375
transcript.pyannote[336].speaker SPEAKER_12
transcript.pyannote[336].start 7340.74034375
transcript.pyannote[336].end 7347.77721875
transcript.pyannote[337].speaker SPEAKER_12
transcript.pyannote[337].start 7348.13159375
transcript.pyannote[337].end 7351.10159375
transcript.pyannote[338].speaker SPEAKER_12
transcript.pyannote[338].start 7351.35471875
transcript.pyannote[338].end 7354.93221875
transcript.pyannote[339].speaker SPEAKER_12
transcript.pyannote[339].start 7355.01659375
transcript.pyannote[339].end 7355.86034375
transcript.pyannote[340].speaker SPEAKER_04
transcript.pyannote[340].start 7356.01221875
transcript.pyannote[340].end 7356.92346875
transcript.pyannote[341].speaker SPEAKER_12
transcript.pyannote[341].start 7357.26096875
transcript.pyannote[341].end 7358.12159375
transcript.pyannote[342].speaker SPEAKER_12
transcript.pyannote[342].start 7358.27346875
transcript.pyannote[342].end 7360.38284375
transcript.pyannote[343].speaker SPEAKER_12
transcript.pyannote[343].start 7360.46721875
transcript.pyannote[343].end 7363.72409375
transcript.pyannote[344].speaker SPEAKER_12
transcript.pyannote[344].start 7364.04471875
transcript.pyannote[344].end 7368.01034375
transcript.pyannote[345].speaker SPEAKER_04
transcript.pyannote[345].start 7368.06096875
transcript.pyannote[345].end 7380.48096875
transcript.pyannote[346].speaker SPEAKER_12
transcript.pyannote[346].start 7381.00409375
transcript.pyannote[346].end 7387.85534375
transcript.pyannote[347].speaker SPEAKER_12
transcript.pyannote[347].start 7388.07471875
transcript.pyannote[347].end 7391.63534375
transcript.pyannote[348].speaker SPEAKER_04
transcript.pyannote[348].start 7392.02346875
transcript.pyannote[348].end 7392.98534375
transcript.pyannote[349].speaker SPEAKER_12
transcript.pyannote[349].start 7393.20471875
transcript.pyannote[349].end 7403.29596875
transcript.pyannote[350].speaker SPEAKER_04
transcript.pyannote[350].start 7403.29596875
transcript.pyannote[350].end 7404.24096875
transcript.pyannote[351].speaker SPEAKER_12
transcript.pyannote[351].start 7404.67971875
transcript.pyannote[351].end 7411.64909375
transcript.pyannote[352].speaker SPEAKER_12
transcript.pyannote[352].start 7411.76721875
transcript.pyannote[352].end 7416.20534375
transcript.pyannote[353].speaker SPEAKER_04
transcript.pyannote[353].start 7416.00284375
transcript.pyannote[353].end 7416.98159375
transcript.pyannote[354].speaker SPEAKER_12
transcript.pyannote[354].start 7417.26846875
transcript.pyannote[354].end 7424.08596875
transcript.pyannote[355].speaker SPEAKER_12
transcript.pyannote[355].start 7424.37284375
transcript.pyannote[355].end 7428.77721875
transcript.pyannote[356].speaker SPEAKER_04
transcript.pyannote[356].start 7428.92909375
transcript.pyannote[356].end 7429.89096875
transcript.pyannote[357].speaker SPEAKER_12
transcript.pyannote[357].start 7430.09346875
transcript.pyannote[357].end 7430.86971875
transcript.pyannote[358].speaker SPEAKER_12
transcript.pyannote[358].start 7431.08909375
transcript.pyannote[358].end 7437.46784375
transcript.pyannote[359].speaker SPEAKER_12
transcript.pyannote[359].start 7437.72096875
transcript.pyannote[359].end 7441.72034375
transcript.pyannote[360].speaker SPEAKER_04
transcript.pyannote[360].start 7441.82159375
transcript.pyannote[360].end 7442.76659375
transcript.pyannote[361].speaker SPEAKER_12
transcript.pyannote[361].start 7442.91846875
transcript.pyannote[361].end 7450.42784375
transcript.pyannote[362].speaker SPEAKER_12
transcript.pyannote[362].start 7450.74846875
transcript.pyannote[362].end 7453.92096875
transcript.pyannote[363].speaker SPEAKER_12
transcript.pyannote[363].start 7453.97159375
transcript.pyannote[363].end 7454.00534375
transcript.pyannote[364].speaker SPEAKER_04
transcript.pyannote[364].start 7454.00534375
transcript.pyannote[364].end 7454.10659375
transcript.pyannote[365].speaker SPEAKER_12
transcript.pyannote[365].start 7454.10659375
transcript.pyannote[365].end 7454.24159375
transcript.pyannote[366].speaker SPEAKER_04
transcript.pyannote[366].start 7454.24159375
transcript.pyannote[366].end 7455.79409375
transcript.pyannote[367].speaker SPEAKER_12
transcript.pyannote[367].start 7455.97971875
transcript.pyannote[367].end 7466.99909375
transcript.pyannote[368].speaker SPEAKER_04
transcript.pyannote[368].start 7466.99909375
transcript.pyannote[368].end 7473.98534375
transcript.pyannote[369].speaker SPEAKER_04
transcript.pyannote[369].start 7474.98096875
transcript.pyannote[369].end 7475.87534375
transcript.pyannote[370].speaker SPEAKER_12
transcript.pyannote[370].start 7476.17909375
transcript.pyannote[370].end 7476.98909375
transcript.pyannote[371].speaker SPEAKER_12
transcript.pyannote[371].start 7477.14096875
transcript.pyannote[371].end 7487.23221875
transcript.pyannote[372].speaker SPEAKER_04
transcript.pyannote[372].start 7487.13096875
transcript.pyannote[372].end 7488.22784375
transcript.pyannote[373].speaker SPEAKER_12
transcript.pyannote[373].start 7488.27846875
transcript.pyannote[373].end 7501.01909375
transcript.pyannote[374].speaker SPEAKER_04
transcript.pyannote[374].start 7500.76596875
transcript.pyannote[374].end 7502.18346875
transcript.pyannote[375].speaker SPEAKER_12
transcript.pyannote[375].start 7502.31846875
transcript.pyannote[375].end 7508.88284375
transcript.pyannote[376].speaker SPEAKER_12
transcript.pyannote[376].start 7508.93346875
transcript.pyannote[376].end 7512.84846875
transcript.pyannote[377].speaker SPEAKER_04
transcript.pyannote[377].start 7512.88221875
transcript.pyannote[377].end 7514.06346875
transcript.pyannote[378].speaker SPEAKER_12
transcript.pyannote[378].start 7514.26596875
transcript.pyannote[378].end 7525.60596875
transcript.pyannote[379].speaker SPEAKER_04
transcript.pyannote[379].start 7525.26846875
transcript.pyannote[379].end 7526.51721875
transcript.pyannote[380].speaker SPEAKER_12
transcript.pyannote[380].start 7526.58471875
transcript.pyannote[380].end 7536.25409375
transcript.pyannote[381].speaker SPEAKER_04
transcript.pyannote[381].start 7535.68034375
transcript.pyannote[381].end 7537.01346875
transcript.pyannote[382].speaker SPEAKER_12
transcript.pyannote[382].start 7537.08096875
transcript.pyannote[382].end 7545.28221875
transcript.pyannote[383].speaker SPEAKER_12
transcript.pyannote[383].start 7545.56909375
transcript.pyannote[383].end 7549.16346875
transcript.pyannote[384].speaker SPEAKER_04
transcript.pyannote[384].start 7548.70784375
transcript.pyannote[384].end 7549.78784375
transcript.pyannote[385].speaker SPEAKER_12
transcript.pyannote[385].start 7549.90596875
transcript.pyannote[385].end 7559.54159375
transcript.pyannote[386].speaker SPEAKER_04
transcript.pyannote[386].start 7559.17034375
transcript.pyannote[386].end 7560.35159375
transcript.pyannote[387].speaker SPEAKER_12
transcript.pyannote[387].start 7560.35159375
transcript.pyannote[387].end 7569.90284375
transcript.pyannote[388].speaker SPEAKER_04
transcript.pyannote[388].start 7569.81846875
transcript.pyannote[388].end 7571.10096875
transcript.pyannote[389].speaker SPEAKER_12
transcript.pyannote[389].start 7571.13471875
transcript.pyannote[389].end 7581.66471875
transcript.pyannote[390].speaker SPEAKER_04
transcript.pyannote[390].start 7581.66471875
transcript.pyannote[390].end 7582.77846875
transcript.pyannote[391].speaker SPEAKER_12
transcript.pyannote[391].start 7582.77846875
transcript.pyannote[391].end 7594.99596875
transcript.pyannote[392].speaker SPEAKER_04
transcript.pyannote[392].start 7595.40096875
transcript.pyannote[392].end 7596.37971875
transcript.pyannote[393].speaker SPEAKER_12
transcript.pyannote[393].start 7596.53159375
transcript.pyannote[393].end 7607.17971875
transcript.pyannote[394].speaker SPEAKER_04
transcript.pyannote[394].start 7607.23034375
transcript.pyannote[394].end 7608.42846875
transcript.pyannote[395].speaker SPEAKER_12
transcript.pyannote[395].start 7608.54659375
transcript.pyannote[395].end 7619.19471875
transcript.pyannote[396].speaker SPEAKER_04
transcript.pyannote[396].start 7618.99221875
transcript.pyannote[396].end 7620.20721875
transcript.pyannote[397].speaker SPEAKER_12
transcript.pyannote[397].start 7620.20721875
transcript.pyannote[397].end 7629.33659375
transcript.pyannote[398].speaker SPEAKER_04
transcript.pyannote[398].start 7629.55596875
transcript.pyannote[398].end 7630.60221875
transcript.pyannote[399].speaker SPEAKER_12
transcript.pyannote[399].start 7630.60221875
transcript.pyannote[399].end 7645.21596875
transcript.pyannote[400].speaker SPEAKER_04
transcript.pyannote[400].start 7644.97971875
transcript.pyannote[400].end 7646.58284375
transcript.pyannote[401].speaker SPEAKER_12
transcript.pyannote[401].start 7646.22846875
transcript.pyannote[401].end 7656.52221875
transcript.pyannote[402].speaker SPEAKER_04
transcript.pyannote[402].start 7656.70784375
transcript.pyannote[402].end 7657.83846875
transcript.pyannote[403].speaker SPEAKER_12
transcript.pyannote[403].start 7657.83846875
transcript.pyannote[403].end 7668.97596875
transcript.pyannote[404].speaker SPEAKER_04
transcript.pyannote[404].start 7668.97596875
transcript.pyannote[404].end 7670.00534375
transcript.pyannote[405].speaker SPEAKER_12
transcript.pyannote[405].start 7670.07284375
transcript.pyannote[405].end 7679.70846875
transcript.pyannote[406].speaker SPEAKER_04
transcript.pyannote[406].start 7679.70846875
transcript.pyannote[406].end 7681.31159375
transcript.pyannote[407].speaker SPEAKER_12
transcript.pyannote[407].start 7681.61534375
transcript.pyannote[407].end 7693.03971875
transcript.pyannote[408].speaker SPEAKER_04
transcript.pyannote[408].start 7692.90471875
transcript.pyannote[408].end 7694.23784375
transcript.pyannote[409].speaker SPEAKER_12
transcript.pyannote[409].start 7694.37284375
transcript.pyannote[409].end 7704.24471875
transcript.pyannote[410].speaker SPEAKER_04
transcript.pyannote[410].start 7704.70034375
transcript.pyannote[410].end 7712.10846875
transcript.pyannote[411].speaker SPEAKER_04
transcript.pyannote[411].start 7712.29409375
transcript.pyannote[411].end 7713.62721875
transcript.pyannote[412].speaker SPEAKER_04
transcript.pyannote[412].start 7716.36096875
transcript.pyannote[412].end 7726.16534375
transcript.pyannote[413].speaker SPEAKER_04
transcript.pyannote[413].start 7847.71596875
transcript.pyannote[413].end 7848.39096875
transcript.pyannote[414].speaker SPEAKER_04
transcript.pyannote[414].start 7849.09971875
transcript.pyannote[414].end 7849.74096875
transcript.pyannote[415].speaker SPEAKER_04
transcript.pyannote[415].start 7852.54221875
transcript.pyannote[415].end 7856.62596875
transcript.pyannote[416].speaker SPEAKER_04
transcript.pyannote[416].start 7857.28409375
transcript.pyannote[416].end 7859.44409375
transcript.pyannote[417].speaker SPEAKER_04
transcript.pyannote[417].start 7859.78159375
transcript.pyannote[417].end 7863.44346875
transcript.pyannote[418].speaker SPEAKER_04
transcript.pyannote[418].start 7864.21971875
transcript.pyannote[418].end 7865.94096875
transcript.pyannote[419].speaker SPEAKER_04
transcript.pyannote[419].start 7866.53159375
transcript.pyannote[419].end 7875.69471875
transcript.pyannote[420].speaker SPEAKER_04
transcript.pyannote[420].start 7947.63284375
transcript.pyannote[420].end 7950.95721875
transcript.pyannote[421].speaker SPEAKER_25
transcript.pyannote[421].start 7949.32034375
transcript.pyannote[421].end 7949.60721875
transcript.pyannote[422].speaker SPEAKER_04
transcript.pyannote[422].start 7950.97409375
transcript.pyannote[422].end 7955.68221875
transcript.pyannote[423].speaker SPEAKER_04
transcript.pyannote[423].start 7955.71596875
transcript.pyannote[423].end 7969.08096875
transcript.pyannote[424].speaker SPEAKER_04
transcript.pyannote[424].start 7970.44784375
transcript.pyannote[424].end 7971.08909375
transcript.pyannote[425].speaker SPEAKER_12
transcript.pyannote[425].start 7971.52784375
transcript.pyannote[425].end 7983.55971875
transcript.pyannote[426].speaker SPEAKER_04
transcript.pyannote[426].start 7984.84221875
transcript.pyannote[426].end 7985.82096875
transcript.pyannote[427].speaker SPEAKER_12
transcript.pyannote[427].start 7986.05721875
transcript.pyannote[427].end 7998.49409375
transcript.pyannote[428].speaker SPEAKER_04
transcript.pyannote[428].start 7998.17346875
transcript.pyannote[428].end 7999.37159375
transcript.pyannote[429].speaker SPEAKER_12
transcript.pyannote[429].start 7999.37159375
transcript.pyannote[429].end 8008.92284375
transcript.pyannote[430].speaker SPEAKER_04
transcript.pyannote[430].start 8008.50096875
transcript.pyannote[430].end 8009.71596875
transcript.pyannote[431].speaker SPEAKER_12
transcript.pyannote[431].start 8009.71596875
transcript.pyannote[431].end 8019.58784375
transcript.pyannote[432].speaker SPEAKER_04
transcript.pyannote[432].start 8019.58784375
transcript.pyannote[432].end 8020.66784375
transcript.pyannote[433].speaker SPEAKER_12
transcript.pyannote[433].start 8020.66784375
transcript.pyannote[433].end 8030.01659375
transcript.pyannote[434].speaker SPEAKER_04
transcript.pyannote[434].start 8029.76346875
transcript.pyannote[434].end 8030.86034375
transcript.pyannote[435].speaker SPEAKER_12
transcript.pyannote[435].start 8030.96159375
transcript.pyannote[435].end 8041.72784375
transcript.pyannote[436].speaker SPEAKER_04
transcript.pyannote[436].start 8041.37346875
transcript.pyannote[436].end 8042.58846875
transcript.pyannote[437].speaker SPEAKER_12
transcript.pyannote[437].start 8042.63909375
transcript.pyannote[437].end 8053.48971875
transcript.pyannote[438].speaker SPEAKER_04
transcript.pyannote[438].start 8053.08471875
transcript.pyannote[438].end 8054.40096875
transcript.pyannote[439].speaker SPEAKER_12
transcript.pyannote[439].start 8054.48534375
transcript.pyannote[439].end 8068.03596875
transcript.pyannote[440].speaker SPEAKER_04
transcript.pyannote[440].start 8068.03596875
transcript.pyannote[440].end 8069.23409375
transcript.pyannote[441].speaker SPEAKER_12
transcript.pyannote[441].start 8069.79096875
transcript.pyannote[441].end 8080.16909375
transcript.pyannote[442].speaker SPEAKER_04
transcript.pyannote[442].start 8080.05096875
transcript.pyannote[442].end 8081.31659375
transcript.pyannote[443].speaker SPEAKER_12
transcript.pyannote[443].start 8081.31659375
transcript.pyannote[443].end 8087.54346875
transcript.pyannote[444].speaker SPEAKER_12
transcript.pyannote[444].start 8087.76284375
transcript.pyannote[444].end 8089.23096875
transcript.pyannote[445].speaker SPEAKER_12
transcript.pyannote[445].start 8089.48409375
transcript.pyannote[445].end 8089.87221875
transcript.pyannote[446].speaker SPEAKER_12
transcript.pyannote[446].start 8090.17596875
transcript.pyannote[446].end 8092.74096875
transcript.pyannote[447].speaker SPEAKER_04
transcript.pyannote[447].start 8092.55534375
transcript.pyannote[447].end 8093.56784375
transcript.pyannote[448].speaker SPEAKER_12
transcript.pyannote[448].start 8093.75346875
transcript.pyannote[448].end 8099.91284375
transcript.pyannote[449].speaker SPEAKER_12
transcript.pyannote[449].start 8100.19971875
transcript.pyannote[449].end 8104.67159375
transcript.pyannote[450].speaker SPEAKER_04
transcript.pyannote[450].start 8104.77284375
transcript.pyannote[450].end 8105.63346875
transcript.pyannote[451].speaker SPEAKER_12
transcript.pyannote[451].start 8105.76846875
transcript.pyannote[451].end 8111.91096875
transcript.pyannote[452].speaker SPEAKER_12
transcript.pyannote[452].start 8112.19784375
transcript.pyannote[452].end 8116.09596875
transcript.pyannote[453].speaker SPEAKER_04
transcript.pyannote[453].start 8115.72471875
transcript.pyannote[453].end 8116.70346875
transcript.pyannote[454].speaker SPEAKER_12
transcript.pyannote[454].start 8116.85534375
transcript.pyannote[454].end 8127.62159375
transcript.pyannote[455].speaker SPEAKER_04
transcript.pyannote[455].start 8127.09846875
transcript.pyannote[455].end 8128.12784375
transcript.pyannote[456].speaker SPEAKER_12
transcript.pyannote[456].start 8128.26284375
transcript.pyannote[456].end 8139.55221875
transcript.pyannote[457].speaker SPEAKER_04
transcript.pyannote[457].start 8139.43409375
transcript.pyannote[457].end 8140.48034375
transcript.pyannote[458].speaker SPEAKER_12
transcript.pyannote[458].start 8140.53096875
transcript.pyannote[458].end 8152.44471875
transcript.pyannote[459].speaker SPEAKER_04
transcript.pyannote[459].start 8152.44471875
transcript.pyannote[459].end 8153.50784375
transcript.pyannote[460].speaker SPEAKER_12
transcript.pyannote[460].start 8153.60909375
transcript.pyannote[460].end 8164.69596875
transcript.pyannote[461].speaker SPEAKER_04
transcript.pyannote[461].start 8164.30784375
transcript.pyannote[461].end 8165.33721875
transcript.pyannote[462].speaker SPEAKER_12
transcript.pyannote[462].start 8165.43846875
transcript.pyannote[462].end 8172.44159375
transcript.pyannote[463].speaker SPEAKER_12
transcript.pyannote[463].start 8172.67784375
transcript.pyannote[463].end 8177.26784375
transcript.pyannote[464].speaker SPEAKER_04
transcript.pyannote[464].start 8176.96409375
transcript.pyannote[464].end 8178.26346875
transcript.pyannote[465].speaker SPEAKER_12
transcript.pyannote[465].start 8178.26346875
transcript.pyannote[465].end 8189.06346875
transcript.pyannote[466].speaker SPEAKER_04
transcript.pyannote[466].start 8189.06346875
transcript.pyannote[466].end 8190.43034375
transcript.pyannote[467].speaker SPEAKER_12
transcript.pyannote[467].start 8189.08034375
transcript.pyannote[467].end 8189.16471875
transcript.pyannote[468].speaker SPEAKER_12
transcript.pyannote[468].start 8190.48096875
transcript.pyannote[468].end 8199.44159375
transcript.pyannote[469].speaker SPEAKER_04
transcript.pyannote[469].start 8199.44159375
transcript.pyannote[469].end 8200.55534375
transcript.pyannote[470].speaker SPEAKER_12
transcript.pyannote[470].start 8200.89284375
transcript.pyannote[470].end 8210.95034375
transcript.pyannote[471].speaker SPEAKER_04
transcript.pyannote[471].start 8210.96721875
transcript.pyannote[471].end 8211.94596875
transcript.pyannote[472].speaker SPEAKER_12
transcript.pyannote[472].start 8212.16534375
transcript.pyannote[472].end 8219.01659375
transcript.pyannote[473].speaker SPEAKER_12
transcript.pyannote[473].start 8219.10096875
transcript.pyannote[473].end 8222.94846875
transcript.pyannote[474].speaker SPEAKER_04
transcript.pyannote[474].start 8222.77971875
transcript.pyannote[474].end 8223.87659375
transcript.pyannote[475].speaker SPEAKER_12
transcript.pyannote[475].start 8224.01159375
transcript.pyannote[475].end 8234.40659375
transcript.pyannote[476].speaker SPEAKER_04
transcript.pyannote[476].start 8234.00159375
transcript.pyannote[476].end 8235.19971875
transcript.pyannote[477].speaker SPEAKER_12
transcript.pyannote[477].start 8235.26721875
transcript.pyannote[477].end 8245.83096875
transcript.pyannote[478].speaker SPEAKER_04
transcript.pyannote[478].start 8245.71284375
transcript.pyannote[478].end 8246.92784375
transcript.pyannote[479].speaker SPEAKER_12
transcript.pyannote[479].start 8246.94471875
transcript.pyannote[479].end 8257.12034375
transcript.pyannote[480].speaker SPEAKER_04
transcript.pyannote[480].start 8257.12034375
transcript.pyannote[480].end 8258.41971875
transcript.pyannote[481].speaker SPEAKER_12
transcript.pyannote[481].start 8257.18784375
transcript.pyannote[481].end 8257.33971875
transcript.pyannote[482].speaker SPEAKER_12
transcript.pyannote[482].start 8258.41971875
transcript.pyannote[482].end 8270.18159375
transcript.pyannote[483].speaker SPEAKER_04
transcript.pyannote[483].start 8270.19846875
transcript.pyannote[483].end 8271.27846875
transcript.pyannote[484].speaker SPEAKER_12
transcript.pyannote[484].start 8271.31221875
transcript.pyannote[484].end 8283.12471875
transcript.pyannote[485].speaker SPEAKER_04
transcript.pyannote[485].start 8282.55096875
transcript.pyannote[485].end 8283.85034375
transcript.pyannote[486].speaker SPEAKER_12
transcript.pyannote[486].start 8283.85034375
transcript.pyannote[486].end 8295.13971875
transcript.pyannote[487].speaker SPEAKER_04
transcript.pyannote[487].start 8295.02159375
transcript.pyannote[487].end 8296.18596875
transcript.pyannote[488].speaker SPEAKER_12
transcript.pyannote[488].start 8296.60784375
transcript.pyannote[488].end 8307.40784375
transcript.pyannote[489].speaker SPEAKER_04
transcript.pyannote[489].start 8307.18846875
transcript.pyannote[489].end 8308.43721875
transcript.pyannote[490].speaker SPEAKER_12
transcript.pyannote[490].start 8308.52159375
transcript.pyannote[490].end 8319.67596875
transcript.pyannote[491].speaker SPEAKER_04
transcript.pyannote[491].start 8319.27096875
transcript.pyannote[491].end 8320.30034375
transcript.pyannote[492].speaker SPEAKER_12
transcript.pyannote[492].start 8320.36784375
transcript.pyannote[492].end 8331.28596875
transcript.pyannote[493].speaker SPEAKER_04
transcript.pyannote[493].start 8331.04971875
transcript.pyannote[493].end 8332.23096875
transcript.pyannote[494].speaker SPEAKER_12
transcript.pyannote[494].start 8332.24784375
transcript.pyannote[494].end 8344.12784375
transcript.pyannote[495].speaker SPEAKER_04
transcript.pyannote[495].start 8343.79034375
transcript.pyannote[495].end 8344.85346875
transcript.pyannote[496].speaker SPEAKER_12
transcript.pyannote[496].start 8345.03909375
transcript.pyannote[496].end 8357.10471875
transcript.pyannote[497].speaker SPEAKER_04
transcript.pyannote[497].start 8357.10471875
transcript.pyannote[497].end 8358.23534375
transcript.pyannote[498].speaker SPEAKER_12
transcript.pyannote[498].start 8358.30284375
transcript.pyannote[498].end 8364.68159375
transcript.pyannote[499].speaker SPEAKER_12
transcript.pyannote[499].start 8364.96846875
transcript.pyannote[499].end 8367.61784375
transcript.pyannote[500].speaker SPEAKER_04
transcript.pyannote[500].start 8367.61784375
transcript.pyannote[500].end 8368.95096875
transcript.pyannote[501].speaker SPEAKER_12
transcript.pyannote[501].start 8369.08596875
transcript.pyannote[501].end 8381.37096875
transcript.pyannote[502].speaker SPEAKER_04
transcript.pyannote[502].start 8381.03346875
transcript.pyannote[502].end 8382.04596875
transcript.pyannote[503].speaker SPEAKER_12
transcript.pyannote[503].start 8382.31596875
transcript.pyannote[503].end 8393.35221875
transcript.pyannote[504].speaker SPEAKER_04
transcript.pyannote[504].start 8393.03159375
transcript.pyannote[504].end 8394.22971875
transcript.pyannote[505].speaker SPEAKER_12
transcript.pyannote[505].start 8394.26346875
transcript.pyannote[505].end 8404.59096875
transcript.pyannote[506].speaker SPEAKER_04
transcript.pyannote[506].start 8404.45596875
transcript.pyannote[506].end 8405.85659375
transcript.pyannote[507].speaker SPEAKER_12
transcript.pyannote[507].start 8406.10971875
transcript.pyannote[507].end 8417.63534375
transcript.pyannote[508].speaker SPEAKER_04
transcript.pyannote[508].start 8417.85471875
transcript.pyannote[508].end 8418.88409375
transcript.pyannote[509].speaker SPEAKER_12
transcript.pyannote[509].start 8418.90096875
transcript.pyannote[509].end 8428.94159375
transcript.pyannote[510].speaker SPEAKER_04
transcript.pyannote[510].start 8428.63784375
transcript.pyannote[510].end 8429.81909375
transcript.pyannote[511].speaker SPEAKER_12
transcript.pyannote[511].start 8429.81909375
transcript.pyannote[511].end 8440.12971875
transcript.pyannote[512].speaker SPEAKER_04
transcript.pyannote[512].start 8440.12971875
transcript.pyannote[512].end 8446.00221875
transcript.pyannote[513].speaker SPEAKER_04
transcript.pyannote[513].start 8446.33971875
transcript.pyannote[513].end 8449.71471875
transcript.pyannote[514].speaker SPEAKER_04
transcript.pyannote[514].start 8450.67659375
transcript.pyannote[514].end 8451.50346875
transcript.pyannote[515].speaker SPEAKER_04
transcript.pyannote[515].start 8451.70596875
transcript.pyannote[515].end 8452.24596875
transcript.pyannote[516].speaker SPEAKER_12
transcript.pyannote[516].start 8452.46534375
transcript.pyannote[516].end 8463.18096875
transcript.pyannote[517].speaker SPEAKER_04
transcript.pyannote[517].start 8462.99534375
transcript.pyannote[517].end 8464.71659375
transcript.pyannote[518].speaker SPEAKER_12
transcript.pyannote[518].start 8465.18909375
transcript.pyannote[518].end 8471.23034375
transcript.pyannote[519].speaker SPEAKER_12
transcript.pyannote[519].start 8471.46659375
transcript.pyannote[519].end 8474.87534375
transcript.pyannote[520].speaker SPEAKER_04
transcript.pyannote[520].start 8474.95971875
transcript.pyannote[520].end 8475.85409375
transcript.pyannote[521].speaker SPEAKER_12
transcript.pyannote[521].start 8475.97221875
transcript.pyannote[521].end 8482.35096875
transcript.pyannote[522].speaker SPEAKER_12
transcript.pyannote[522].start 8482.38471875
transcript.pyannote[522].end 8482.40159375
transcript.pyannote[523].speaker SPEAKER_12
transcript.pyannote[523].start 8482.45221875
transcript.pyannote[523].end 8485.97909375
transcript.pyannote[524].speaker SPEAKER_04
transcript.pyannote[524].start 8485.97909375
transcript.pyannote[524].end 8486.90721875
transcript.pyannote[525].speaker SPEAKER_12
transcript.pyannote[525].start 8487.09284375
transcript.pyannote[525].end 8497.42034375
transcript.pyannote[526].speaker SPEAKER_04
transcript.pyannote[526].start 8496.94784375
transcript.pyannote[526].end 8498.33159375
transcript.pyannote[527].speaker SPEAKER_12
transcript.pyannote[527].start 8498.46659375
transcript.pyannote[527].end 8504.92971875
transcript.pyannote[528].speaker SPEAKER_12
transcript.pyannote[528].start 8504.98034375
transcript.pyannote[528].end 8509.55346875
transcript.pyannote[529].speaker SPEAKER_04
transcript.pyannote[529].start 8509.36784375
transcript.pyannote[529].end 8510.48159375
transcript.pyannote[530].speaker SPEAKER_12
transcript.pyannote[530].start 8510.56596875
transcript.pyannote[530].end 8520.97784375
transcript.pyannote[531].speaker SPEAKER_04
transcript.pyannote[531].start 8520.97784375
transcript.pyannote[531].end 8521.99034375
transcript.pyannote[532].speaker SPEAKER_12
transcript.pyannote[532].start 8522.09159375
transcript.pyannote[532].end 8530.63034375
transcript.pyannote[533].speaker SPEAKER_04
transcript.pyannote[533].start 8530.63034375
transcript.pyannote[533].end 8531.69346875
transcript.pyannote[534].speaker SPEAKER_12
transcript.pyannote[534].start 8531.86221875
transcript.pyannote[534].end 8543.28659375
transcript.pyannote[535].speaker SPEAKER_04
transcript.pyannote[535].start 8542.84784375
transcript.pyannote[535].end 8544.01221875
transcript.pyannote[536].speaker SPEAKER_12
transcript.pyannote[536].start 8544.06284375
transcript.pyannote[536].end 8552.93909375
transcript.pyannote[537].speaker SPEAKER_12
transcript.pyannote[537].start 8553.20909375
transcript.pyannote[537].end 8556.65159375
transcript.pyannote[538].speaker SPEAKER_04
transcript.pyannote[538].start 8556.73596875
transcript.pyannote[538].end 8557.79909375
transcript.pyannote[539].speaker SPEAKER_12
transcript.pyannote[539].start 8557.81596875
transcript.pyannote[539].end 8568.88596875
transcript.pyannote[540].speaker SPEAKER_04
transcript.pyannote[540].start 8568.59909375
transcript.pyannote[540].end 8569.52721875
transcript.pyannote[541].speaker SPEAKER_12
transcript.pyannote[541].start 8569.66221875
transcript.pyannote[541].end 8576.93534375
transcript.pyannote[542].speaker SPEAKER_12
transcript.pyannote[542].start 8577.00284375
transcript.pyannote[542].end 8580.56346875
transcript.pyannote[543].speaker SPEAKER_04
transcript.pyannote[543].start 8580.36096875
transcript.pyannote[543].end 8581.39034375
transcript.pyannote[544].speaker SPEAKER_12
transcript.pyannote[544].start 8581.39034375
transcript.pyannote[544].end 8590.21596875
transcript.pyannote[545].speaker SPEAKER_12
transcript.pyannote[545].start 8590.53659375
transcript.pyannote[545].end 8593.70909375
transcript.pyannote[546].speaker SPEAKER_04
transcript.pyannote[546].start 8593.70909375
transcript.pyannote[546].end 8594.80596875
transcript.pyannote[547].speaker SPEAKER_12
transcript.pyannote[547].start 8595.32909375
transcript.pyannote[547].end 8607.14159375
transcript.pyannote[548].speaker SPEAKER_04
transcript.pyannote[548].start 8607.14159375
transcript.pyannote[548].end 8608.13721875
transcript.pyannote[549].speaker SPEAKER_12
transcript.pyannote[549].start 8608.20471875
transcript.pyannote[549].end 8617.24971875
transcript.pyannote[550].speaker SPEAKER_04
transcript.pyannote[550].start 8616.99659375
transcript.pyannote[550].end 8618.12721875
transcript.pyannote[551].speaker SPEAKER_12
transcript.pyannote[551].start 8618.19471875
transcript.pyannote[551].end 8627.17221875
transcript.pyannote[552].speaker SPEAKER_12
transcript.pyannote[552].start 8627.39159375
transcript.pyannote[552].end 8630.78346875
transcript.pyannote[553].speaker SPEAKER_04
transcript.pyannote[553].start 8630.78346875
transcript.pyannote[553].end 8631.71159375
transcript.pyannote[554].speaker SPEAKER_12
transcript.pyannote[554].start 8631.72846875
transcript.pyannote[554].end 8641.93784375
transcript.pyannote[555].speaker SPEAKER_04
transcript.pyannote[555].start 8641.61721875
transcript.pyannote[555].end 8642.62971875
transcript.pyannote[556].speaker SPEAKER_12
transcript.pyannote[556].start 8642.69721875
transcript.pyannote[556].end 8652.02909375
transcript.pyannote[557].speaker SPEAKER_12
transcript.pyannote[557].start 8652.04596875
transcript.pyannote[557].end 8655.25221875
transcript.pyannote[558].speaker SPEAKER_04
transcript.pyannote[558].start 8655.25221875
transcript.pyannote[558].end 8656.34909375
transcript.pyannote[559].speaker SPEAKER_12
transcript.pyannote[559].start 8655.26909375
transcript.pyannote[559].end 8655.45471875
transcript.pyannote[560].speaker SPEAKER_12
transcript.pyannote[560].start 8656.41659375
transcript.pyannote[560].end 8666.01846875
transcript.pyannote[561].speaker SPEAKER_04
transcript.pyannote[561].start 8665.78221875
transcript.pyannote[561].end 8666.98034375
transcript.pyannote[562].speaker SPEAKER_12
transcript.pyannote[562].start 8666.99721875
transcript.pyannote[562].end 8676.22784375
transcript.pyannote[563].speaker SPEAKER_04
transcript.pyannote[563].start 8676.32909375
transcript.pyannote[563].end 8677.47659375
transcript.pyannote[564].speaker SPEAKER_12
transcript.pyannote[564].start 8677.47659375
transcript.pyannote[564].end 8687.26409375
transcript.pyannote[565].speaker SPEAKER_04
transcript.pyannote[565].start 8687.66909375
transcript.pyannote[565].end 8688.73221875
transcript.pyannote[566].speaker SPEAKER_12
transcript.pyannote[566].start 8688.73221875
transcript.pyannote[566].end 8694.73971875
transcript.pyannote[567].speaker SPEAKER_12
transcript.pyannote[567].start 8694.85784375
transcript.pyannote[567].end 8698.94159375
transcript.pyannote[568].speaker SPEAKER_04
transcript.pyannote[568].start 8698.94159375
transcript.pyannote[568].end 8700.05534375
transcript.pyannote[569].speaker SPEAKER_12
transcript.pyannote[569].start 8700.07221875
transcript.pyannote[569].end 8709.67409375
transcript.pyannote[570].speaker SPEAKER_04
transcript.pyannote[570].start 8709.67409375
transcript.pyannote[570].end 8710.61909375
transcript.pyannote[571].speaker SPEAKER_12
transcript.pyannote[571].start 8710.85534375
transcript.pyannote[571].end 8719.24221875
transcript.pyannote[572].speaker SPEAKER_04
transcript.pyannote[572].start 8719.24221875
transcript.pyannote[572].end 8720.40659375
transcript.pyannote[573].speaker SPEAKER_12
transcript.pyannote[573].start 8720.44034375
transcript.pyannote[573].end 8728.96221875
transcript.pyannote[574].speaker SPEAKER_04
transcript.pyannote[574].start 8728.96221875
transcript.pyannote[574].end 8730.04221875
transcript.pyannote[575].speaker SPEAKER_12
transcript.pyannote[575].start 8730.19409375
transcript.pyannote[575].end 8737.58534375
transcript.pyannote[576].speaker SPEAKER_12
transcript.pyannote[576].start 8737.97346875
transcript.pyannote[576].end 8741.43284375
transcript.pyannote[577].speaker SPEAKER_04
transcript.pyannote[577].start 8741.43284375
transcript.pyannote[577].end 8742.34409375
transcript.pyannote[578].speaker SPEAKER_12
transcript.pyannote[578].start 8742.44534375
transcript.pyannote[578].end 8754.56159375
transcript.pyannote[579].speaker SPEAKER_04
transcript.pyannote[579].start 8754.35909375
transcript.pyannote[579].end 8755.54034375
transcript.pyannote[580].speaker SPEAKER_12
transcript.pyannote[580].start 8755.59096875
transcript.pyannote[580].end 8765.34471875
transcript.pyannote[581].speaker SPEAKER_04
transcript.pyannote[581].start 8765.24346875
transcript.pyannote[581].end 8766.28971875
transcript.pyannote[582].speaker SPEAKER_12
transcript.pyannote[582].start 8766.37409375
transcript.pyannote[582].end 8771.85846875
transcript.pyannote[583].speaker SPEAKER_12
transcript.pyannote[583].start 8771.97659375
transcript.pyannote[583].end 8772.04409375
transcript.pyannote[584].speaker SPEAKER_12
transcript.pyannote[584].start 8772.07784375
transcript.pyannote[584].end 8780.88659375
transcript.pyannote[585].speaker SPEAKER_04
transcript.pyannote[585].start 8780.88659375
transcript.pyannote[585].end 8781.78096875
transcript.pyannote[586].speaker SPEAKER_12
transcript.pyannote[586].start 8781.96659375
transcript.pyannote[586].end 8799.34784375
transcript.pyannote[587].speaker SPEAKER_12
transcript.pyannote[587].start 8799.36471875
transcript.pyannote[587].end 8802.60471875
transcript.pyannote[588].speaker SPEAKER_04
transcript.pyannote[588].start 8802.52034375
transcript.pyannote[588].end 8803.46534375
transcript.pyannote[589].speaker SPEAKER_12
transcript.pyannote[589].start 8803.51596875
transcript.pyannote[589].end 8814.34971875
transcript.pyannote[590].speaker SPEAKER_12
transcript.pyannote[590].start 8814.43409375
transcript.pyannote[590].end 8818.85534375
transcript.pyannote[591].speaker SPEAKER_04
transcript.pyannote[591].start 8818.85534375
transcript.pyannote[591].end 8819.90159375
transcript.pyannote[592].speaker SPEAKER_12
transcript.pyannote[592].start 8819.93534375
transcript.pyannote[592].end 8828.25471875
transcript.pyannote[593].speaker SPEAKER_04
transcript.pyannote[593].start 8827.90034375
transcript.pyannote[593].end 8828.99721875
transcript.pyannote[594].speaker SPEAKER_12
transcript.pyannote[594].start 8829.06471875
transcript.pyannote[594].end 8836.33784375
transcript.pyannote[595].speaker SPEAKER_12
transcript.pyannote[595].start 8836.48971875
transcript.pyannote[595].end 8839.59471875
transcript.pyannote[596].speaker SPEAKER_04
transcript.pyannote[596].start 8839.59471875
transcript.pyannote[596].end 8840.60721875
transcript.pyannote[597].speaker SPEAKER_12
transcript.pyannote[597].start 8840.72534375
transcript.pyannote[597].end 8846.09159375
transcript.pyannote[598].speaker SPEAKER_12
transcript.pyannote[598].start 8846.29409375
transcript.pyannote[598].end 8849.65221875
transcript.pyannote[599].speaker SPEAKER_04
transcript.pyannote[599].start 8849.65221875
transcript.pyannote[599].end 8850.59721875
transcript.pyannote[600].speaker SPEAKER_12
transcript.pyannote[600].start 8850.78284375
transcript.pyannote[600].end 8869.49721875
transcript.pyannote[601].speaker SPEAKER_04
transcript.pyannote[601].start 8869.49721875
transcript.pyannote[601].end 8870.35784375
transcript.pyannote[602].speaker SPEAKER_12
transcript.pyannote[602].start 8870.52659375
transcript.pyannote[602].end 8873.15909375
transcript.pyannote[603].speaker SPEAKER_12
transcript.pyannote[603].start 8873.86784375
transcript.pyannote[603].end 8881.66409375
transcript.pyannote[604].speaker SPEAKER_04
transcript.pyannote[604].start 8881.66409375
transcript.pyannote[604].end 8882.15346875
transcript.pyannote[605].speaker SPEAKER_12
transcript.pyannote[605].start 8882.44034375
transcript.pyannote[605].end 8892.73409375
transcript.pyannote[606].speaker SPEAKER_04
transcript.pyannote[606].start 8892.43034375
transcript.pyannote[606].end 8893.47659375
transcript.pyannote[607].speaker SPEAKER_12
transcript.pyannote[607].start 8893.56096875
transcript.pyannote[607].end 8902.45409375
transcript.pyannote[608].speaker SPEAKER_04
transcript.pyannote[608].start 8901.88034375
transcript.pyannote[608].end 8903.12909375
transcript.pyannote[609].speaker SPEAKER_12
transcript.pyannote[609].start 8903.19659375
transcript.pyannote[609].end 8911.31346875
transcript.pyannote[610].speaker SPEAKER_04
transcript.pyannote[610].start 8911.31346875
transcript.pyannote[610].end 8912.34284375
transcript.pyannote[611].speaker SPEAKER_12
transcript.pyannote[611].start 8911.49909375
transcript.pyannote[611].end 8911.51596875
transcript.pyannote[612].speaker SPEAKER_12
transcript.pyannote[612].start 8912.34284375
transcript.pyannote[612].end 8923.49721875
transcript.pyannote[613].speaker SPEAKER_04
transcript.pyannote[613].start 8923.44659375
transcript.pyannote[613].end 8923.46346875
transcript.pyannote[614].speaker SPEAKER_04
transcript.pyannote[614].start 8923.49721875
transcript.pyannote[614].end 8924.32409375
transcript.pyannote[615].speaker SPEAKER_12
transcript.pyannote[615].start 8924.32409375
transcript.pyannote[615].end 8934.53346875
transcript.pyannote[616].speaker SPEAKER_04
transcript.pyannote[616].start 8934.24659375
transcript.pyannote[616].end 8935.44471875
transcript.pyannote[617].speaker SPEAKER_12
transcript.pyannote[617].start 8935.46159375
transcript.pyannote[617].end 8945.63721875
transcript.pyannote[618].speaker SPEAKER_04
transcript.pyannote[618].start 8945.38409375
transcript.pyannote[618].end 8946.29534375
transcript.pyannote[619].speaker SPEAKER_12
transcript.pyannote[619].start 8946.41346875
transcript.pyannote[619].end 8956.38659375
transcript.pyannote[620].speaker SPEAKER_04
transcript.pyannote[620].start 8956.20096875
transcript.pyannote[620].end 8957.24721875
transcript.pyannote[621].speaker SPEAKER_12
transcript.pyannote[621].start 8957.46659375
transcript.pyannote[621].end 8968.36784375
transcript.pyannote[622].speaker SPEAKER_04
transcript.pyannote[622].start 8968.09784375
transcript.pyannote[622].end 8969.09346875
transcript.pyannote[623].speaker SPEAKER_12
transcript.pyannote[623].start 8969.14409375
transcript.pyannote[623].end 8986.99784375
transcript.pyannote[624].speaker SPEAKER_04
transcript.pyannote[624].start 8986.77846875
transcript.pyannote[624].end 8987.85846875
transcript.pyannote[625].speaker SPEAKER_12
transcript.pyannote[625].start 8988.19596875
transcript.pyannote[625].end 9004.53096875
transcript.pyannote[626].speaker SPEAKER_04
transcript.pyannote[626].start 9004.24409375
transcript.pyannote[626].end 9005.17221875
transcript.pyannote[627].speaker SPEAKER_12
transcript.pyannote[627].start 9005.25659375
transcript.pyannote[627].end 9013.45784375
transcript.pyannote[628].speaker SPEAKER_04
transcript.pyannote[628].start 9013.45784375
transcript.pyannote[628].end 9014.41971875
transcript.pyannote[629].speaker SPEAKER_12
transcript.pyannote[629].start 9014.43659375
transcript.pyannote[629].end 9027.14346875
transcript.pyannote[630].speaker SPEAKER_04
transcript.pyannote[630].start 9026.94096875
transcript.pyannote[630].end 9027.83534375
transcript.pyannote[631].speaker SPEAKER_12
transcript.pyannote[631].start 9027.91971875
transcript.pyannote[631].end 9037.74096875
transcript.pyannote[632].speaker SPEAKER_04
transcript.pyannote[632].start 9037.74096875
transcript.pyannote[632].end 9038.73659375
transcript.pyannote[633].speaker SPEAKER_12
transcript.pyannote[633].start 9038.78721875
transcript.pyannote[633].end 9045.85784375
transcript.pyannote[634].speaker SPEAKER_12
transcript.pyannote[634].start 9046.12784375
transcript.pyannote[634].end 9049.26659375
transcript.pyannote[635].speaker SPEAKER_04
transcript.pyannote[635].start 9049.41846875
transcript.pyannote[635].end 9050.34659375
transcript.pyannote[636].speaker SPEAKER_12
transcript.pyannote[636].start 9050.43096875
transcript.pyannote[636].end 9061.88909375
transcript.pyannote[637].speaker SPEAKER_04
transcript.pyannote[637].start 9061.56846875
transcript.pyannote[637].end 9062.53034375
transcript.pyannote[638].speaker SPEAKER_12
transcript.pyannote[638].start 9062.53034375
transcript.pyannote[638].end 9074.83221875
transcript.pyannote[639].speaker SPEAKER_04
transcript.pyannote[639].start 9074.44409375
transcript.pyannote[639].end 9075.38909375
transcript.pyannote[640].speaker SPEAKER_12
transcript.pyannote[640].start 9075.86159375
transcript.pyannote[640].end 9087.16784375
transcript.pyannote[641].speaker SPEAKER_04
transcript.pyannote[641].start 9087.01596875
transcript.pyannote[641].end 9088.07909375
transcript.pyannote[642].speaker SPEAKER_12
transcript.pyannote[642].start 9088.07909375
transcript.pyannote[642].end 9104.19471875
transcript.pyannote[643].speaker SPEAKER_04
transcript.pyannote[643].start 9103.90784375
transcript.pyannote[643].end 9104.86971875
transcript.pyannote[644].speaker SPEAKER_12
transcript.pyannote[644].start 9105.00471875
transcript.pyannote[644].end 9123.44909375
transcript.pyannote[645].speaker SPEAKER_04
transcript.pyannote[645].start 9123.44909375
transcript.pyannote[645].end 9124.36034375
transcript.pyannote[646].speaker SPEAKER_12
transcript.pyannote[646].start 9124.61346875
transcript.pyannote[646].end 9139.32846875
transcript.pyannote[647].speaker SPEAKER_04
transcript.pyannote[647].start 9139.42971875
transcript.pyannote[647].end 9140.22284375
transcript.pyannote[648].speaker SPEAKER_04
transcript.pyannote[648].start 9141.10034375
transcript.pyannote[648].end 9149.92596875
transcript.pyannote[649].speaker SPEAKER_12
transcript.pyannote[649].start 9150.34784375
transcript.pyannote[649].end 9159.78096875
transcript.pyannote[650].speaker SPEAKER_04
transcript.pyannote[650].start 9160.13534375
transcript.pyannote[650].end 9207.62159375
transcript.pyannote[651].speaker SPEAKER_04
transcript.pyannote[651].start 9208.26284375
transcript.pyannote[651].end 9211.57034375
transcript.pyannote[652].speaker SPEAKER_04
transcript.pyannote[652].start 9212.02596875
transcript.pyannote[652].end 9212.65034375
transcript.pyannote[653].speaker SPEAKER_04
transcript.pyannote[653].start 9213.98346875
transcript.pyannote[653].end 9217.79721875
transcript.pyannote[654].speaker SPEAKER_12
transcript.pyannote[654].start 9218.05034375
transcript.pyannote[654].end 9297.75096875
transcript.pyannote[655].speaker SPEAKER_12
transcript.pyannote[655].start 9297.90284375
transcript.pyannote[655].end 9306.61034375
transcript.pyannote[656].speaker SPEAKER_12
transcript.pyannote[656].start 9306.94784375
transcript.pyannote[656].end 9324.66659375
transcript.pyannote[657].speaker SPEAKER_12
transcript.pyannote[657].start 9324.97034375
transcript.pyannote[657].end 9326.53971875
transcript.pyannote[658].speaker SPEAKER_12
transcript.pyannote[658].start 9326.67471875
transcript.pyannote[658].end 9334.18409375
transcript.pyannote[659].speaker SPEAKER_12
transcript.pyannote[659].start 9334.33596875
transcript.pyannote[659].end 9337.60971875
transcript.pyannote[660].speaker SPEAKER_12
transcript.pyannote[660].start 9338.09909375
transcript.pyannote[660].end 9344.20784375
transcript.pyannote[661].speaker SPEAKER_04
transcript.pyannote[661].start 9345.11909375
transcript.pyannote[661].end 9359.00721875
transcript.pyannote[662].speaker SPEAKER_12
transcript.pyannote[662].start 9359.32784375
transcript.pyannote[662].end 9383.20596875
transcript.pyannote[663].speaker SPEAKER_12
transcript.pyannote[663].start 9383.62784375
transcript.pyannote[663].end 9408.34971875
transcript.pyannote[664].speaker SPEAKER_12
transcript.pyannote[664].start 9408.41721875
transcript.pyannote[664].end 9410.17221875
transcript.pyannote[665].speaker SPEAKER_12
transcript.pyannote[665].start 9410.67846875
transcript.pyannote[665].end 9415.75784375
transcript.pyannote[666].speaker SPEAKER_04
transcript.pyannote[666].start 9416.66909375
transcript.pyannote[666].end 9417.51284375
transcript.pyannote[667].speaker SPEAKER_04
transcript.pyannote[667].start 9417.56346875
transcript.pyannote[667].end 9434.11784375
transcript.pyannote[668].speaker SPEAKER_04
transcript.pyannote[668].start 9434.67471875
transcript.pyannote[668].end 9440.24346875
transcript.pyannote[669].speaker SPEAKER_04
transcript.pyannote[669].start 9440.81721875
transcript.pyannote[669].end 9443.63534375
transcript.pyannote[670].speaker SPEAKER_12
transcript.pyannote[670].start 9444.10784375
transcript.pyannote[670].end 9466.66971875
transcript.pyannote[671].speaker SPEAKER_12
transcript.pyannote[671].start 9466.82159375
transcript.pyannote[671].end 9487.88159375
transcript.pyannote[672].speaker SPEAKER_12
transcript.pyannote[672].start 9487.99971875
transcript.pyannote[672].end 9491.05409375
transcript.pyannote[673].speaker SPEAKER_12
transcript.pyannote[673].start 9491.34096875
transcript.pyannote[673].end 9492.50534375
transcript.pyannote[674].speaker SPEAKER_12
transcript.pyannote[674].start 9492.84284375
transcript.pyannote[674].end 9529.47846875
transcript.pyannote[675].speaker SPEAKER_12
transcript.pyannote[675].start 9529.83284375
transcript.pyannote[675].end 9544.29471875
transcript.pyannote[676].speaker SPEAKER_12
transcript.pyannote[676].start 9544.63221875
transcript.pyannote[676].end 9550.01534375
transcript.pyannote[677].speaker SPEAKER_12
transcript.pyannote[677].start 9550.28534375
transcript.pyannote[677].end 9551.17971875
transcript.pyannote[678].speaker SPEAKER_04
transcript.pyannote[678].start 9552.61409375
transcript.pyannote[678].end 9553.28909375
transcript.pyannote[679].speaker SPEAKER_04
transcript.pyannote[679].start 9553.82909375
transcript.pyannote[679].end 9565.65846875
transcript.pyannote[680].speaker SPEAKER_04
transcript.pyannote[680].start 9566.16471875
transcript.pyannote[680].end 9572.64471875
transcript.pyannote[681].speaker SPEAKER_04
transcript.pyannote[681].start 9573.23534375
transcript.pyannote[681].end 9579.58034375
transcript.pyannote[682].speaker SPEAKER_04
transcript.pyannote[682].start 9580.37346875
transcript.pyannote[682].end 9585.01409375
transcript.pyannote[683].speaker SPEAKER_04
transcript.pyannote[683].start 9586.06034375
transcript.pyannote[683].end 9588.74346875
transcript.pyannote[684].speaker SPEAKER_04
transcript.pyannote[684].start 9589.43534375
transcript.pyannote[684].end 9595.52721875
transcript.pyannote[685].speaker SPEAKER_04
transcript.pyannote[685].start 9596.08409375
transcript.pyannote[685].end 9601.26471875
transcript.pyannote[686].speaker SPEAKER_04
transcript.pyannote[686].start 9602.69909375
transcript.pyannote[686].end 9617.12721875
transcript.pyannote[687].speaker SPEAKER_04
transcript.pyannote[687].start 9617.53221875
transcript.pyannote[687].end 9624.95721875
transcript.pyannote[688].speaker SPEAKER_04
transcript.pyannote[688].start 9625.61534375
transcript.pyannote[688].end 9629.58096875
transcript.pyannote[689].speaker SPEAKER_04
transcript.pyannote[689].start 9629.83409375
transcript.pyannote[689].end 9631.38659375
transcript.pyannote[690].speaker SPEAKER_04
transcript.pyannote[690].start 9631.89284375
transcript.pyannote[690].end 9634.28909375
transcript.pyannote[691].speaker SPEAKER_01
transcript.pyannote[691].start 9634.87971875
transcript.pyannote[691].end 9640.22909375
transcript.pyannote[692].speaker SPEAKER_01
transcript.pyannote[692].start 9640.29659375
transcript.pyannote[692].end 9640.34721875
transcript.pyannote[693].speaker SPEAKER_01
transcript.pyannote[693].start 9640.39784375
transcript.pyannote[693].end 9643.04721875
transcript.pyannote[694].speaker SPEAKER_01
transcript.pyannote[694].start 9643.31721875
transcript.pyannote[694].end 9646.72596875
transcript.pyannote[695].speaker SPEAKER_01
transcript.pyannote[695].start 9646.96221875
transcript.pyannote[695].end 9649.93221875
transcript.pyannote[696].speaker SPEAKER_01
transcript.pyannote[696].start 9650.16846875
transcript.pyannote[696].end 9655.12971875
transcript.pyannote[697].speaker SPEAKER_01
transcript.pyannote[697].start 9655.61909375
transcript.pyannote[697].end 9657.99846875
transcript.pyannote[698].speaker SPEAKER_01
transcript.pyannote[698].start 9658.30221875
transcript.pyannote[698].end 9659.85471875
transcript.pyannote[699].speaker SPEAKER_01
transcript.pyannote[699].start 9660.20909375
transcript.pyannote[699].end 9662.53784375
transcript.pyannote[700].speaker SPEAKER_01
transcript.pyannote[700].start 9662.80784375
transcript.pyannote[700].end 9665.08596875
transcript.pyannote[701].speaker SPEAKER_01
transcript.pyannote[701].start 9665.74409375
transcript.pyannote[701].end 9673.79346875
transcript.pyannote[702].speaker SPEAKER_01
transcript.pyannote[702].start 9673.84409375
transcript.pyannote[702].end 9675.17721875
transcript.pyannote[703].speaker SPEAKER_01
transcript.pyannote[703].start 9675.41346875
transcript.pyannote[703].end 9684.27284375
transcript.pyannote[704].speaker SPEAKER_04
transcript.pyannote[704].start 9684.94784375
transcript.pyannote[704].end 9687.52971875
transcript.pyannote[705].speaker SPEAKER_04
transcript.pyannote[705].start 9688.39034375
transcript.pyannote[705].end 9717.68534375
transcript.pyannote[706].speaker SPEAKER_04
transcript.pyannote[706].start 9718.64721875
transcript.pyannote[706].end 9726.71346875
transcript.pyannote[707].speaker SPEAKER_04
transcript.pyannote[707].start 9727.32096875
transcript.pyannote[707].end 9729.90284375
transcript.pyannote[708].speaker SPEAKER_04
transcript.pyannote[708].start 9730.37534375
transcript.pyannote[708].end 9763.09596875
transcript.pyannote[709].speaker SPEAKER_04
transcript.pyannote[709].start 9763.46721875
transcript.pyannote[709].end 9782.51909375
transcript.pyannote[710].speaker SPEAKER_04
transcript.pyannote[710].start 9893.25284375
transcript.pyannote[710].end 9894.43409375
transcript.pyannote[711].speaker SPEAKER_04
transcript.pyannote[711].start 9896.30721875
transcript.pyannote[711].end 9897.42096875
transcript.pyannote[712].speaker SPEAKER_04
transcript.pyannote[712].start 9900.03659375
transcript.pyannote[712].end 9902.02784375
transcript.pyannote[713].speaker SPEAKER_04
transcript.pyannote[713].start 9902.12909375
transcript.pyannote[713].end 9922.49721875
transcript.pyannote[714].speaker SPEAKER_04
transcript.pyannote[714].start 9995.58284375
transcript.pyannote[714].end 10005.60659375
transcript.pyannote[715].speaker SPEAKER_04
transcript.pyannote[715].start 10005.82596875
transcript.pyannote[715].end 10006.56846875
transcript.pyannote[716].speaker SPEAKER_04
transcript.pyannote[716].start 10007.24346875
transcript.pyannote[716].end 10011.37784375
transcript.pyannote[717].speaker SPEAKER_04
transcript.pyannote[717].start 10012.10346875
transcript.pyannote[717].end 10028.86034375
transcript.pyannote[718].speaker SPEAKER_04
transcript.pyannote[718].start 10029.18096875
transcript.pyannote[718].end 10042.14096875
transcript.pyannote[719].speaker SPEAKER_04
transcript.pyannote[719].start 10043.35596875
transcript.pyannote[719].end 10049.51534375
transcript.pyannote[720].speaker SPEAKER_04
transcript.pyannote[720].start 10049.73471875
transcript.pyannote[720].end 10053.93659375
transcript.pyannote[721].speaker SPEAKER_04
transcript.pyannote[721].start 10054.64534375
transcript.pyannote[721].end 10058.34096875
transcript.pyannote[722].speaker SPEAKER_04
transcript.pyannote[722].start 10058.81346875
transcript.pyannote[722].end 10066.69409375
transcript.pyannote[723].speaker SPEAKER_04
transcript.pyannote[723].start 10180.06034375
transcript.pyannote[723].end 10196.58096875
transcript.pyannote[724].speaker SPEAKER_04
transcript.pyannote[724].start 10273.68284375
transcript.pyannote[724].end 10277.34471875
transcript.pyannote[725].speaker SPEAKER_04
transcript.pyannote[725].start 10277.95221875
transcript.pyannote[725].end 10288.34721875
transcript.pyannote[726].speaker SPEAKER_04
transcript.pyannote[726].start 10288.39784375
transcript.pyannote[726].end 10298.30346875
transcript.pyannote[727].speaker SPEAKER_04
transcript.pyannote[727].start 10298.75909375
transcript.pyannote[727].end 10305.88034375
transcript.pyannote[728].speaker SPEAKER_12
transcript.pyannote[728].start 10306.28534375
transcript.pyannote[728].end 10310.01471875
transcript.pyannote[729].speaker SPEAKER_12
transcript.pyannote[729].start 10310.21721875
transcript.pyannote[729].end 10314.14909375
transcript.pyannote[730].speaker SPEAKER_12
transcript.pyannote[730].start 10314.40221875
transcript.pyannote[730].end 10315.29659375
transcript.pyannote[731].speaker SPEAKER_12
transcript.pyannote[731].start 10315.41471875
transcript.pyannote[731].end 10316.88284375
transcript.pyannote[732].speaker SPEAKER_12
transcript.pyannote[732].start 10317.08534375
transcript.pyannote[732].end 10320.08909375
transcript.pyannote[733].speaker SPEAKER_12
transcript.pyannote[733].start 10320.39284375
transcript.pyannote[733].end 10323.98721875
transcript.pyannote[734].speaker SPEAKER_12
transcript.pyannote[734].start 10324.22346875
transcript.pyannote[734].end 10325.99534375
transcript.pyannote[735].speaker SPEAKER_12
transcript.pyannote[735].start 10326.04596875
transcript.pyannote[735].end 10331.07471875
transcript.pyannote[736].speaker SPEAKER_12
transcript.pyannote[736].start 10331.24346875
transcript.pyannote[736].end 10337.47034375
transcript.pyannote[737].speaker SPEAKER_12
transcript.pyannote[737].start 10337.67284375
transcript.pyannote[737].end 10340.82846875
transcript.pyannote[738].speaker SPEAKER_12
transcript.pyannote[738].start 10341.11534375
transcript.pyannote[738].end 10356.48846875
transcript.pyannote[739].speaker SPEAKER_12
transcript.pyannote[739].start 10356.77534375
transcript.pyannote[739].end 10358.41221875
transcript.pyannote[740].speaker SPEAKER_12
transcript.pyannote[740].start 10358.71596875
transcript.pyannote[740].end 10362.93471875
transcript.pyannote[741].speaker SPEAKER_12
transcript.pyannote[741].start 10363.08659375
transcript.pyannote[741].end 10365.70221875
transcript.pyannote[742].speaker SPEAKER_04
transcript.pyannote[742].start 10367.99721875
transcript.pyannote[742].end 10368.58784375
transcript.pyannote[743].speaker SPEAKER_04
transcript.pyannote[743].start 10369.73534375
transcript.pyannote[743].end 10381.19346875
transcript.pyannote[744].speaker SPEAKER_04
transcript.pyannote[744].start 10381.75034375
transcript.pyannote[744].end 10389.61409375
transcript.pyannote[745].speaker SPEAKER_04
transcript.pyannote[745].start 10390.60971875
transcript.pyannote[745].end 10396.68471875
transcript.pyannote[746].speaker SPEAKER_18
transcript.pyannote[746].start 10405.45971875
transcript.pyannote[746].end 10584.68909375
transcript.pyannote[747].speaker SPEAKER_04
transcript.pyannote[747].start 10588.35096875
transcript.pyannote[747].end 10590.03846875
transcript.pyannote[748].speaker SPEAKER_04
transcript.pyannote[748].start 10590.17346875
transcript.pyannote[748].end 10595.65784375
transcript.pyannote[749].speaker SPEAKER_04
transcript.pyannote[749].start 10597.61534375
transcript.pyannote[749].end 10601.15909375
transcript.pyannote[750].speaker SPEAKER_04
transcript.pyannote[750].start 10602.03659375
transcript.pyannote[750].end 10615.43534375
transcript.pyannote[751].speaker SPEAKER_04
transcript.pyannote[751].start 10616.31284375
transcript.pyannote[751].end 10620.54846875
transcript.pyannote[752].speaker SPEAKER_04
transcript.pyannote[752].start 10620.85221875
transcript.pyannote[752].end 10622.25284375
transcript.pyannote[753].speaker SPEAKER_04
transcript.pyannote[753].start 10622.75909375
transcript.pyannote[753].end 10623.55221875
transcript.pyannote[754].speaker SPEAKER_04
transcript.pyannote[754].start 10623.87284375
transcript.pyannote[754].end 10623.90659375
transcript.pyannote[755].speaker SPEAKER_25
transcript.pyannote[755].start 10623.90659375
transcript.pyannote[755].end 10623.99096875
transcript.pyannote[756].speaker SPEAKER_04
transcript.pyannote[756].start 10626.25221875
transcript.pyannote[756].end 10635.80346875
transcript.pyannote[757].speaker SPEAKER_04
transcript.pyannote[757].start 10637.18721875
transcript.pyannote[757].end 10643.02596875
transcript.pyannote[758].speaker SPEAKER_04
transcript.pyannote[758].start 10643.34659375
transcript.pyannote[758].end 10646.62034375
transcript.pyannote[759].speaker SPEAKER_04
transcript.pyannote[759].start 10647.04221875
transcript.pyannote[759].end 10659.61409375
transcript.pyannote[760].speaker SPEAKER_10
transcript.pyannote[760].start 10669.75596875
transcript.pyannote[760].end 10672.20284375
transcript.pyannote[761].speaker SPEAKER_04
transcript.pyannote[761].start 10673.33346875
transcript.pyannote[761].end 10674.54846875
transcript.pyannote[762].speaker SPEAKER_10
transcript.pyannote[762].start 10681.55159375
transcript.pyannote[762].end 10682.20971875
transcript.pyannote[763].speaker SPEAKER_22
transcript.pyannote[763].start 10683.03659375
transcript.pyannote[763].end 10683.71159375
transcript.pyannote[764].speaker SPEAKER_10
transcript.pyannote[764].start 10684.45409375
transcript.pyannote[764].end 10691.76096875
transcript.pyannote[765].speaker SPEAKER_22
transcript.pyannote[765].start 10692.62159375
transcript.pyannote[765].end 10695.13596875
transcript.pyannote[766].speaker SPEAKER_10
transcript.pyannote[766].start 10695.60846875
transcript.pyannote[766].end 10697.26221875
transcript.pyannote[767].speaker SPEAKER_22
transcript.pyannote[767].start 10697.90346875
transcript.pyannote[767].end 10698.91596875
transcript.pyannote[768].speaker SPEAKER_10
transcript.pyannote[768].start 10699.20284375
transcript.pyannote[768].end 10700.33346875
transcript.pyannote[769].speaker SPEAKER_10
transcript.pyannote[769].start 10700.51909375
transcript.pyannote[769].end 10723.26659375
transcript.pyannote[770].speaker SPEAKER_22
transcript.pyannote[770].start 10723.70534375
transcript.pyannote[770].end 10729.03784375
transcript.pyannote[771].speaker SPEAKER_22
transcript.pyannote[771].start 10729.88159375
transcript.pyannote[771].end 10738.70721875
transcript.pyannote[772].speaker SPEAKER_10
transcript.pyannote[772].start 10738.70721875
transcript.pyannote[772].end 10815.52221875
transcript.pyannote[773].speaker SPEAKER_10
transcript.pyannote[773].start 10816.31534375
transcript.pyannote[773].end 10843.46721875
transcript.pyannote[774].speaker SPEAKER_10
transcript.pyannote[774].start 10843.85534375
transcript.pyannote[774].end 10859.78534375
transcript.pyannote[775].speaker SPEAKER_10
transcript.pyannote[775].start 10860.40971875
transcript.pyannote[775].end 10878.02721875
transcript.pyannote[776].speaker SPEAKER_29
transcript.pyannote[776].start 10878.02721875
transcript.pyannote[776].end 10878.24659375
transcript.pyannote[777].speaker SPEAKER_29
transcript.pyannote[777].start 10878.31409375
transcript.pyannote[777].end 10879.12409375
transcript.pyannote[778].speaker SPEAKER_29
transcript.pyannote[778].start 10879.56284375
transcript.pyannote[778].end 10886.70096875
transcript.pyannote[779].speaker SPEAKER_29
transcript.pyannote[779].start 10886.75159375
transcript.pyannote[779].end 10915.65846875
transcript.pyannote[780].speaker SPEAKER_11
transcript.pyannote[780].start 10898.12534375
transcript.pyannote[780].end 10899.27284375
transcript.pyannote[781].speaker SPEAKER_10
transcript.pyannote[781].start 10911.65909375
transcript.pyannote[781].end 10913.92034375
transcript.pyannote[782].speaker SPEAKER_10
transcript.pyannote[782].start 10914.62909375
transcript.pyannote[782].end 10917.05909375
transcript.pyannote[783].speaker SPEAKER_10
transcript.pyannote[783].start 10917.43034375
transcript.pyannote[783].end 10948.19346875
transcript.pyannote[784].speaker SPEAKER_11
transcript.pyannote[784].start 10925.51346875
transcript.pyannote[784].end 10925.96909375
transcript.pyannote[785].speaker SPEAKER_25
transcript.pyannote[785].start 10925.96909375
transcript.pyannote[785].end 10926.18846875
transcript.pyannote[786].speaker SPEAKER_11
transcript.pyannote[786].start 10926.18846875
transcript.pyannote[786].end 10926.81284375
transcript.pyannote[787].speaker SPEAKER_11
transcript.pyannote[787].start 10934.06909375
transcript.pyannote[787].end 10936.46534375
transcript.pyannote[788].speaker SPEAKER_11
transcript.pyannote[788].start 10937.19096875
transcript.pyannote[788].end 10938.37221875
transcript.pyannote[789].speaker SPEAKER_11
transcript.pyannote[789].start 10940.36346875
transcript.pyannote[789].end 10943.43471875
transcript.pyannote[790].speaker SPEAKER_10
transcript.pyannote[790].start 10948.31159375
transcript.pyannote[790].end 10975.58159375
transcript.pyannote[791].speaker SPEAKER_11
transcript.pyannote[791].start 10959.09471875
transcript.pyannote[791].end 10962.84096875
transcript.pyannote[792].speaker SPEAKER_29
transcript.pyannote[792].start 10962.84096875
transcript.pyannote[792].end 10963.26284375
transcript.pyannote[793].speaker SPEAKER_29
transcript.pyannote[793].start 10966.19909375
transcript.pyannote[793].end 10968.17346875
transcript.pyannote[794].speaker SPEAKER_11
transcript.pyannote[794].start 10968.17346875
transcript.pyannote[794].end 10968.96659375
transcript.pyannote[795].speaker SPEAKER_29
transcript.pyannote[795].start 10968.96659375
transcript.pyannote[795].end 10969.03409375
transcript.pyannote[796].speaker SPEAKER_11
transcript.pyannote[796].start 10969.03409375
transcript.pyannote[796].end 10970.60346875
transcript.pyannote[797].speaker SPEAKER_11
transcript.pyannote[797].start 10971.54846875
transcript.pyannote[797].end 10972.22346875
transcript.pyannote[798].speaker SPEAKER_11
transcript.pyannote[798].start 10973.15159375
transcript.pyannote[798].end 10973.74221875
transcript.pyannote[799].speaker SPEAKER_10
transcript.pyannote[799].start 10976.64471875
transcript.pyannote[799].end 10981.45409375
transcript.pyannote[800].speaker SPEAKER_11
transcript.pyannote[800].start 10978.02846875
transcript.pyannote[800].end 10980.27284375
transcript.pyannote[801].speaker SPEAKER_00
transcript.pyannote[801].start 10980.27284375
transcript.pyannote[801].end 10980.77909375
transcript.pyannote[802].speaker SPEAKER_10
transcript.pyannote[802].start 10982.16284375
transcript.pyannote[802].end 10983.59721875
transcript.pyannote[803].speaker SPEAKER_10
transcript.pyannote[803].start 10984.42409375
transcript.pyannote[803].end 10999.69596875
transcript.pyannote[804].speaker SPEAKER_10
transcript.pyannote[804].start 11000.60721875
transcript.pyannote[804].end 11034.03659375
transcript.pyannote[805].speaker SPEAKER_10
transcript.pyannote[805].start 11034.13784375
transcript.pyannote[805].end 11038.35659375
transcript.pyannote[806].speaker SPEAKER_10
transcript.pyannote[806].start 11039.08221875
transcript.pyannote[806].end 11042.71034375
transcript.pyannote[807].speaker SPEAKER_10
transcript.pyannote[807].start 11043.38534375
transcript.pyannote[807].end 11043.80721875
transcript.pyannote[808].speaker SPEAKER_22
transcript.pyannote[808].start 11044.16159375
transcript.pyannote[808].end 11045.52846875
transcript.pyannote[809].speaker SPEAKER_22
transcript.pyannote[809].start 11045.96721875
transcript.pyannote[809].end 11048.95409375
transcript.pyannote[810].speaker SPEAKER_22
transcript.pyannote[810].start 11049.22409375
transcript.pyannote[810].end 11070.97596875
transcript.pyannote[811].speaker SPEAKER_00
transcript.pyannote[811].start 11060.85096875
transcript.pyannote[811].end 11061.69471875
transcript.pyannote[812].speaker SPEAKER_10
transcript.pyannote[812].start 11065.42409375
transcript.pyannote[812].end 11066.01471875
transcript.pyannote[813].speaker SPEAKER_10
transcript.pyannote[813].start 11069.49096875
transcript.pyannote[813].end 11088.05346875
transcript.pyannote[814].speaker SPEAKER_25
transcript.pyannote[814].start 11073.94596875
transcript.pyannote[814].end 11074.23284375
transcript.pyannote[815].speaker SPEAKER_10
transcript.pyannote[815].start 11088.47534375
transcript.pyannote[815].end 11121.97221875
transcript.pyannote[816].speaker SPEAKER_22
transcript.pyannote[816].start 11122.51221875
transcript.pyannote[816].end 11122.83284375
transcript.pyannote[817].speaker SPEAKER_22
transcript.pyannote[817].start 11123.45721875
transcript.pyannote[817].end 11130.46034375
transcript.pyannote[818].speaker SPEAKER_22
transcript.pyannote[818].start 11130.67971875
transcript.pyannote[818].end 11132.53596875
transcript.pyannote[819].speaker SPEAKER_22
transcript.pyannote[819].start 11132.70471875
transcript.pyannote[819].end 11138.40846875
transcript.pyannote[820].speaker SPEAKER_10
transcript.pyannote[820].start 11138.40846875
transcript.pyannote[820].end 11138.42534375
transcript.pyannote[821].speaker SPEAKER_22
transcript.pyannote[821].start 11138.42534375
transcript.pyannote[821].end 11138.44221875
transcript.pyannote[822].speaker SPEAKER_10
transcript.pyannote[822].start 11138.44221875
transcript.pyannote[822].end 11138.47596875
transcript.pyannote[823].speaker SPEAKER_10
transcript.pyannote[823].start 11138.77971875
transcript.pyannote[823].end 11155.70534375
transcript.pyannote[824].speaker SPEAKER_22
transcript.pyannote[824].start 11156.85284375
transcript.pyannote[824].end 11169.62721875
transcript.pyannote[825].speaker SPEAKER_10
transcript.pyannote[825].start 11169.82971875
transcript.pyannote[825].end 11176.78221875
transcript.pyannote[826].speaker SPEAKER_10
transcript.pyannote[826].start 11177.74409375
transcript.pyannote[826].end 11182.58721875
transcript.pyannote[827].speaker SPEAKER_10
transcript.pyannote[827].start 11182.90784375
transcript.pyannote[827].end 11194.68659375
transcript.pyannote[828].speaker SPEAKER_29
transcript.pyannote[828].start 11193.40409375
transcript.pyannote[828].end 11205.70596875
transcript.pyannote[829].speaker SPEAKER_10
transcript.pyannote[829].start 11205.92534375
transcript.pyannote[829].end 11228.82471875
transcript.pyannote[830].speaker SPEAKER_10
transcript.pyannote[830].start 11229.02721875
transcript.pyannote[830].end 11233.22909375
transcript.pyannote[831].speaker SPEAKER_10
transcript.pyannote[831].start 11233.65096875
transcript.pyannote[831].end 11237.05971875
transcript.pyannote[832].speaker SPEAKER_21
transcript.pyannote[832].start 11237.31284375
transcript.pyannote[832].end 11237.66721875
transcript.pyannote[833].speaker SPEAKER_10
transcript.pyannote[833].start 11238.20721875
transcript.pyannote[833].end 11238.98346875
transcript.pyannote[834].speaker SPEAKER_10
transcript.pyannote[834].start 11239.16909375
transcript.pyannote[834].end 11241.32909375
transcript.pyannote[835].speaker SPEAKER_10
transcript.pyannote[835].start 11241.43034375
transcript.pyannote[835].end 11246.32409375
transcript.pyannote[836].speaker SPEAKER_22
transcript.pyannote[836].start 11246.84721875
transcript.pyannote[836].end 11251.60596875
transcript.pyannote[837].speaker SPEAKER_10
transcript.pyannote[837].start 11252.01096875
transcript.pyannote[837].end 11256.49971875
transcript.pyannote[838].speaker SPEAKER_22
transcript.pyannote[838].start 11257.07346875
transcript.pyannote[838].end 11260.76909375
transcript.pyannote[839].speaker SPEAKER_22
transcript.pyannote[839].start 11261.14034375
transcript.pyannote[839].end 11263.09784375
transcript.pyannote[840].speaker SPEAKER_22
transcript.pyannote[840].start 11263.35096875
transcript.pyannote[840].end 11264.66721875
transcript.pyannote[841].speaker SPEAKER_22
transcript.pyannote[841].start 11265.03846875
transcript.pyannote[841].end 11267.99159375
transcript.pyannote[842].speaker SPEAKER_10
transcript.pyannote[842].start 11268.63284375
transcript.pyannote[842].end 11293.21971875
transcript.pyannote[843].speaker SPEAKER_03
transcript.pyannote[843].start 11293.55721875
transcript.pyannote[843].end 11296.00409375
transcript.pyannote[844].speaker SPEAKER_03
transcript.pyannote[844].start 11296.25721875
transcript.pyannote[844].end 11300.05409375
transcript.pyannote[845].speaker SPEAKER_10
transcript.pyannote[845].start 11299.56471875
transcript.pyannote[845].end 11301.72471875
transcript.pyannote[846].speaker SPEAKER_03
transcript.pyannote[846].start 11302.41659375
transcript.pyannote[846].end 11311.56284375
transcript.pyannote[847].speaker SPEAKER_10
transcript.pyannote[847].start 11310.48284375
transcript.pyannote[847].end 11312.40659375
transcript.pyannote[848].speaker SPEAKER_03
transcript.pyannote[848].start 11311.84971875
transcript.pyannote[848].end 11318.29596875
transcript.pyannote[849].speaker SPEAKER_10
transcript.pyannote[849].start 11313.26721875
transcript.pyannote[849].end 11314.46534375
transcript.pyannote[850].speaker SPEAKER_10
transcript.pyannote[850].start 11317.90784375
transcript.pyannote[850].end 11319.57846875
transcript.pyannote[851].speaker SPEAKER_10
transcript.pyannote[851].start 11320.00034375
transcript.pyannote[851].end 11323.98284375
transcript.pyannote[852].speaker SPEAKER_10
transcript.pyannote[852].start 11324.52284375
transcript.pyannote[852].end 11325.58596875
transcript.pyannote[853].speaker SPEAKER_10
transcript.pyannote[853].start 11326.63221875
transcript.pyannote[853].end 11330.51346875
transcript.pyannote[854].speaker SPEAKER_03
transcript.pyannote[854].start 11330.76659375
transcript.pyannote[854].end 11331.42471875
transcript.pyannote[855].speaker SPEAKER_03
transcript.pyannote[855].start 11331.77909375
transcript.pyannote[855].end 11333.61846875
transcript.pyannote[856].speaker SPEAKER_10
transcript.pyannote[856].start 11334.20909375
transcript.pyannote[856].end 11338.83284375
transcript.pyannote[857].speaker SPEAKER_10
transcript.pyannote[857].start 11339.20409375
transcript.pyannote[857].end 11340.33471875
transcript.pyannote[858].speaker SPEAKER_03
transcript.pyannote[858].start 11340.33471875
transcript.pyannote[858].end 11340.35159375
transcript.pyannote[859].speaker SPEAKER_03
transcript.pyannote[859].start 11340.63846875
transcript.pyannote[859].end 11342.15721875
transcript.pyannote[860].speaker SPEAKER_10
transcript.pyannote[860].start 11341.51596875
transcript.pyannote[860].end 11342.08971875
transcript.pyannote[861].speaker SPEAKER_03
transcript.pyannote[861].start 11342.59596875
transcript.pyannote[861].end 11358.50909375
transcript.pyannote[862].speaker SPEAKER_10
transcript.pyannote[862].start 11357.91846875
transcript.pyannote[862].end 11360.98971875
transcript.pyannote[863].speaker SPEAKER_10
transcript.pyannote[863].start 11362.18784375
transcript.pyannote[863].end 11365.12409375
transcript.pyannote[864].speaker SPEAKER_10
transcript.pyannote[864].start 11365.81596875
transcript.pyannote[864].end 11367.55409375
transcript.pyannote[865].speaker SPEAKER_10
transcript.pyannote[865].start 11368.24596875
transcript.pyannote[865].end 11369.10659375
transcript.pyannote[866].speaker SPEAKER_10
transcript.pyannote[866].start 11369.86596875
transcript.pyannote[866].end 11370.84471875
transcript.pyannote[867].speaker SPEAKER_03
transcript.pyannote[867].start 11370.72659375
transcript.pyannote[867].end 11370.82784375
transcript.pyannote[868].speaker SPEAKER_03
transcript.pyannote[868].start 11370.84471875
transcript.pyannote[868].end 11371.38471875
transcript.pyannote[869].speaker SPEAKER_10
transcript.pyannote[869].start 11371.33409375
transcript.pyannote[869].end 11381.08784375
transcript.pyannote[870].speaker SPEAKER_03
transcript.pyannote[870].start 11380.63221875
transcript.pyannote[870].end 11381.76284375
transcript.pyannote[871].speaker SPEAKER_10
transcript.pyannote[871].start 11381.27346875
transcript.pyannote[871].end 11383.60221875
transcript.pyannote[872].speaker SPEAKER_03
transcript.pyannote[872].start 11382.42096875
transcript.pyannote[872].end 11382.99471875
transcript.pyannote[873].speaker SPEAKER_03
transcript.pyannote[873].start 11383.21409375
transcript.pyannote[873].end 11385.10409375
transcript.pyannote[874].speaker SPEAKER_10
transcript.pyannote[874].start 11385.10409375
transcript.pyannote[874].end 11388.88409375
transcript.pyannote[875].speaker SPEAKER_10
transcript.pyannote[875].start 11389.60971875
transcript.pyannote[875].end 11392.02284375
transcript.pyannote[876].speaker SPEAKER_03
transcript.pyannote[876].start 11392.07346875
transcript.pyannote[876].end 11393.00159375
transcript.pyannote[877].speaker SPEAKER_10
transcript.pyannote[877].start 11392.52909375
transcript.pyannote[877].end 11401.20284375
transcript.pyannote[878].speaker SPEAKER_03
transcript.pyannote[878].start 11396.44409375
transcript.pyannote[878].end 11397.05159375
transcript.pyannote[879].speaker SPEAKER_03
transcript.pyannote[879].start 11398.04721875
transcript.pyannote[879].end 11398.19909375
transcript.pyannote[880].speaker SPEAKER_03
transcript.pyannote[880].start 11401.32096875
transcript.pyannote[880].end 11407.00784375
transcript.pyannote[881].speaker SPEAKER_10
transcript.pyannote[881].start 11406.43409375
transcript.pyannote[881].end 11414.46659375
transcript.pyannote[882].speaker SPEAKER_03
transcript.pyannote[882].start 11408.44221875
transcript.pyannote[882].end 11409.20159375
transcript.pyannote[883].speaker SPEAKER_03
transcript.pyannote[883].start 11410.14659375
transcript.pyannote[883].end 11410.70346875
transcript.pyannote[884].speaker SPEAKER_03
transcript.pyannote[884].start 11414.46659375
transcript.pyannote[884].end 11415.10784375
transcript.pyannote[885].speaker SPEAKER_10
transcript.pyannote[885].start 11415.10784375
transcript.pyannote[885].end 11420.54159375
transcript.pyannote[886].speaker SPEAKER_03
transcript.pyannote[886].start 11415.19221875
transcript.pyannote[886].end 11415.58034375
transcript.pyannote[887].speaker SPEAKER_03
transcript.pyannote[887].start 11419.15784375
transcript.pyannote[887].end 11419.51221875
transcript.pyannote[888].speaker SPEAKER_03
transcript.pyannote[888].start 11419.63034375
transcript.pyannote[888].end 11425.40159375
transcript.pyannote[889].speaker SPEAKER_10
transcript.pyannote[889].start 11424.92909375
transcript.pyannote[889].end 11439.88034375
transcript.pyannote[890].speaker SPEAKER_03
transcript.pyannote[890].start 11439.40784375
transcript.pyannote[890].end 11440.26846875
transcript.pyannote[891].speaker SPEAKER_10
transcript.pyannote[891].start 11440.11659375
transcript.pyannote[891].end 11442.68159375
transcript.pyannote[892].speaker SPEAKER_10
transcript.pyannote[892].start 11443.15409375
transcript.pyannote[892].end 11443.76159375
transcript.pyannote[893].speaker SPEAKER_10
transcript.pyannote[893].start 11444.06534375
transcript.pyannote[893].end 11446.41096875
transcript.pyannote[894].speaker SPEAKER_03
transcript.pyannote[894].start 11446.02284375
transcript.pyannote[894].end 11451.77721875
transcript.pyannote[895].speaker SPEAKER_10
transcript.pyannote[895].start 11451.33846875
transcript.pyannote[895].end 11453.14409375
transcript.pyannote[896].speaker SPEAKER_03
transcript.pyannote[896].start 11453.14409375
transcript.pyannote[896].end 11453.90346875
transcript.pyannote[897].speaker SPEAKER_03
transcript.pyannote[897].start 11454.44346875
transcript.pyannote[897].end 11455.82721875
transcript.pyannote[898].speaker SPEAKER_22
transcript.pyannote[898].start 11454.61221875
transcript.pyannote[898].end 11459.53971875
transcript.pyannote[899].speaker SPEAKER_22
transcript.pyannote[899].start 11460.04596875
transcript.pyannote[899].end 11460.92346875
transcript.pyannote[900].speaker SPEAKER_22
transcript.pyannote[900].start 11461.15971875
transcript.pyannote[900].end 11464.02846875
transcript.pyannote[901].speaker SPEAKER_22
transcript.pyannote[901].start 11464.04534375
transcript.pyannote[901].end 11468.04471875
transcript.pyannote[902].speaker SPEAKER_22
transcript.pyannote[902].start 11468.63534375
transcript.pyannote[902].end 11479.94159375
transcript.pyannote[903].speaker SPEAKER_10
transcript.pyannote[903].start 11473.29284375
transcript.pyannote[903].end 11474.47409375
transcript.pyannote[904].speaker SPEAKER_10
transcript.pyannote[904].start 11474.49096875
transcript.pyannote[904].end 11475.01409375
transcript.pyannote[905].speaker SPEAKER_10
transcript.pyannote[905].start 11476.93784375
transcript.pyannote[905].end 11482.25346875
transcript.pyannote[906].speaker SPEAKER_03
transcript.pyannote[906].start 11482.25346875
transcript.pyannote[906].end 11485.54409375
transcript.pyannote[907].speaker SPEAKER_10
transcript.pyannote[907].start 11482.74284375
transcript.pyannote[907].end 11492.44596875
transcript.pyannote[908].speaker SPEAKER_03
transcript.pyannote[908].start 11487.41721875
transcript.pyannote[908].end 11488.71659375
transcript.pyannote[909].speaker SPEAKER_03
transcript.pyannote[909].start 11491.33221875
transcript.pyannote[909].end 11491.87221875
transcript.pyannote[910].speaker SPEAKER_03
transcript.pyannote[910].start 11492.76659375
transcript.pyannote[910].end 11496.69846875
transcript.pyannote[911].speaker SPEAKER_10
transcript.pyannote[911].start 11496.42846875
transcript.pyannote[911].end 11554.22534375
transcript.pyannote[912].speaker SPEAKER_10
transcript.pyannote[912].start 11554.86659375
transcript.pyannote[912].end 11563.57409375
transcript.pyannote[913].speaker SPEAKER_29
transcript.pyannote[913].start 11563.77659375
transcript.pyannote[913].end 11571.18471875
transcript.pyannote[914].speaker SPEAKER_10
transcript.pyannote[914].start 11571.18471875
transcript.pyannote[914].end 11572.83846875
transcript.pyannote[915].speaker SPEAKER_29
transcript.pyannote[915].start 11573.15909375
transcript.pyannote[915].end 11575.60596875
transcript.pyannote[916].speaker SPEAKER_10
transcript.pyannote[916].start 11574.72846875
transcript.pyannote[916].end 11577.52971875
transcript.pyannote[917].speaker SPEAKER_29
transcript.pyannote[917].start 11577.98534375
transcript.pyannote[917].end 11579.75721875
transcript.pyannote[918].speaker SPEAKER_10
transcript.pyannote[918].start 11579.26784375
transcript.pyannote[918].end 11586.59159375
transcript.pyannote[919].speaker SPEAKER_10
transcript.pyannote[919].start 11586.86159375
transcript.pyannote[919].end 11590.01721875
transcript.pyannote[920].speaker SPEAKER_10
transcript.pyannote[920].start 11590.27034375
transcript.pyannote[920].end 11590.87784375
transcript.pyannote[921].speaker SPEAKER_04
transcript.pyannote[921].start 11619.05909375
transcript.pyannote[921].end 11622.72096875
transcript.pyannote[922].speaker SPEAKER_04
transcript.pyannote[922].start 11623.32846875
transcript.pyannote[922].end 11623.73346875
transcript.pyannote[923].speaker SPEAKER_04
transcript.pyannote[923].start 11624.61096875
transcript.pyannote[923].end 11628.03659375
transcript.pyannote[924].speaker SPEAKER_04
transcript.pyannote[924].start 11629.06596875
transcript.pyannote[924].end 11631.86721875
transcript.pyannote[925].speaker SPEAKER_04
transcript.pyannote[925].start 11634.88784375
transcript.pyannote[925].end 11638.85346875
transcript.pyannote[926].speaker SPEAKER_25
transcript.pyannote[926].start 11635.02284375
transcript.pyannote[926].end 11636.38971875
transcript.pyannote[927].speaker SPEAKER_15
transcript.pyannote[927].start 11646.00846875
transcript.pyannote[927].end 11649.94034375
transcript.pyannote[928].speaker SPEAKER_04
transcript.pyannote[928].start 11650.02471875
transcript.pyannote[928].end 11651.89784375
transcript.pyannote[929].speaker SPEAKER_22
transcript.pyannote[929].start 11657.50034375
transcript.pyannote[929].end 11658.12471875
transcript.pyannote[930].speaker SPEAKER_15
transcript.pyannote[930].start 11658.22596875
transcript.pyannote[930].end 11687.60534375
transcript.pyannote[931].speaker SPEAKER_22
transcript.pyannote[931].start 11660.16659375
transcript.pyannote[931].end 11660.41971875
transcript.pyannote[932].speaker SPEAKER_15
transcript.pyannote[932].start 11688.14534375
transcript.pyannote[932].end 11692.73534375
transcript.pyannote[933].speaker SPEAKER_15
transcript.pyannote[933].start 11693.39346875
transcript.pyannote[933].end 11694.05159375
transcript.pyannote[934].speaker SPEAKER_15
transcript.pyannote[934].start 11694.91221875
transcript.pyannote[934].end 11696.54909375
transcript.pyannote[935].speaker SPEAKER_29
transcript.pyannote[935].start 11696.78534375
transcript.pyannote[935].end 11706.87659375
transcript.pyannote[936].speaker SPEAKER_15
transcript.pyannote[936].start 11706.80909375
transcript.pyannote[936].end 11735.46284375
transcript.pyannote[937].speaker SPEAKER_19
transcript.pyannote[937].start 11718.26721875
transcript.pyannote[937].end 11718.97596875
transcript.pyannote[938].speaker SPEAKER_21
transcript.pyannote[938].start 11718.97596875
transcript.pyannote[938].end 11719.33034375
transcript.pyannote[939].speaker SPEAKER_15
transcript.pyannote[939].start 11736.66096875
transcript.pyannote[939].end 11737.18409375
transcript.pyannote[940].speaker SPEAKER_29
transcript.pyannote[940].start 11737.18409375
transcript.pyannote[940].end 11743.39409375
transcript.pyannote[941].speaker SPEAKER_15
transcript.pyannote[941].start 11742.75284375
transcript.pyannote[941].end 11766.42846875
transcript.pyannote[942].speaker SPEAKER_29
transcript.pyannote[942].start 11743.84971875
transcript.pyannote[942].end 11743.91721875
transcript.pyannote[943].speaker SPEAKER_15
transcript.pyannote[943].start 11766.58034375
transcript.pyannote[943].end 11767.71096875
transcript.pyannote[944].speaker SPEAKER_29
transcript.pyannote[944].start 11766.79971875
transcript.pyannote[944].end 11770.91721875
transcript.pyannote[945].speaker SPEAKER_15
transcript.pyannote[945].start 11768.68971875
transcript.pyannote[945].end 11771.81159375
transcript.pyannote[946].speaker SPEAKER_15
transcript.pyannote[946].start 11772.04784375
transcript.pyannote[946].end 11773.36409375
transcript.pyannote[947].speaker SPEAKER_29
transcript.pyannote[947].start 11772.92534375
transcript.pyannote[947].end 11774.54534375
transcript.pyannote[948].speaker SPEAKER_15
transcript.pyannote[948].start 11774.71409375
transcript.pyannote[948].end 11815.66971875
transcript.pyannote[949].speaker SPEAKER_15
transcript.pyannote[949].start 11815.87221875
transcript.pyannote[949].end 11823.36471875
transcript.pyannote[950].speaker SPEAKER_15
transcript.pyannote[950].start 11824.73159375
transcript.pyannote[950].end 11837.64096875
transcript.pyannote[951].speaker SPEAKER_15
transcript.pyannote[951].start 11838.16409375
transcript.pyannote[951].end 11842.63596875
transcript.pyannote[952].speaker SPEAKER_15
transcript.pyannote[952].start 11843.15909375
transcript.pyannote[952].end 11844.49221875
transcript.pyannote[953].speaker SPEAKER_29
transcript.pyannote[953].start 11846.73659375
transcript.pyannote[953].end 11847.44534375
transcript.pyannote[954].speaker SPEAKER_22
transcript.pyannote[954].start 11847.44534375
transcript.pyannote[954].end 11848.03596875
transcript.pyannote[955].speaker SPEAKER_29
transcript.pyannote[955].start 11848.03596875
transcript.pyannote[955].end 11859.12284375
transcript.pyannote[956].speaker SPEAKER_15
transcript.pyannote[956].start 11852.30534375
transcript.pyannote[956].end 11853.84096875
transcript.pyannote[957].speaker SPEAKER_15
transcript.pyannote[957].start 11856.57471875
transcript.pyannote[957].end 11860.59096875
transcript.pyannote[958].speaker SPEAKER_29
transcript.pyannote[958].start 11859.47721875
transcript.pyannote[958].end 11866.09221875
transcript.pyannote[959].speaker SPEAKER_15
transcript.pyannote[959].start 11861.23221875
transcript.pyannote[959].end 11861.68784375
transcript.pyannote[960].speaker SPEAKER_15
transcript.pyannote[960].start 11863.74659375
transcript.pyannote[960].end 11963.29221875
transcript.pyannote[961].speaker SPEAKER_29
transcript.pyannote[961].start 11870.24346875
transcript.pyannote[961].end 11870.32784375
transcript.pyannote[962].speaker SPEAKER_11
transcript.pyannote[962].start 11870.32784375
transcript.pyannote[962].end 11871.22221875
transcript.pyannote[963].speaker SPEAKER_29
transcript.pyannote[963].start 11963.86596875
transcript.pyannote[963].end 11990.08971875
transcript.pyannote[964].speaker SPEAKER_25
transcript.pyannote[964].start 11974.63221875
transcript.pyannote[964].end 11974.66596875
transcript.pyannote[965].speaker SPEAKER_15
transcript.pyannote[965].start 11988.48659375
transcript.pyannote[965].end 11990.03909375
transcript.pyannote[966].speaker SPEAKER_15
transcript.pyannote[966].start 11990.08971875
transcript.pyannote[966].end 11990.19096875
transcript.pyannote[967].speaker SPEAKER_15
transcript.pyannote[967].start 11990.44409375
transcript.pyannote[967].end 12014.86221875
transcript.pyannote[968].speaker SPEAKER_15
transcript.pyannote[968].start 12015.50346875
transcript.pyannote[968].end 12022.55721875
transcript.pyannote[969].speaker SPEAKER_15
transcript.pyannote[969].start 12022.74284375
transcript.pyannote[969].end 12037.32284375
transcript.pyannote[970].speaker SPEAKER_15
transcript.pyannote[970].start 12037.67721875
transcript.pyannote[970].end 12051.49784375
transcript.pyannote[971].speaker SPEAKER_15
transcript.pyannote[971].start 12051.93659375
transcript.pyannote[971].end 12063.02346875
transcript.pyannote[972].speaker SPEAKER_15
transcript.pyannote[972].start 12063.41159375
transcript.pyannote[972].end 12065.97659375
transcript.pyannote[973].speaker SPEAKER_22
transcript.pyannote[973].start 12065.60534375
transcript.pyannote[973].end 12067.30971875
transcript.pyannote[974].speaker SPEAKER_15
transcript.pyannote[974].start 12068.10284375
transcript.pyannote[974].end 12082.02471875
transcript.pyannote[975].speaker SPEAKER_22
transcript.pyannote[975].start 12081.11346875
transcript.pyannote[975].end 12090.10784375
transcript.pyannote[976].speaker SPEAKER_15
transcript.pyannote[976].start 12085.29846875
transcript.pyannote[976].end 12086.22659375
transcript.pyannote[977].speaker SPEAKER_15
transcript.pyannote[977].start 12090.10784375
transcript.pyannote[977].end 12093.09471875
transcript.pyannote[978].speaker SPEAKER_00
transcript.pyannote[978].start 12090.90096875
transcript.pyannote[978].end 12091.03596875
transcript.pyannote[979].speaker SPEAKER_22
transcript.pyannote[979].start 12091.03596875
transcript.pyannote[979].end 12094.36034375
transcript.pyannote[980].speaker SPEAKER_15
transcript.pyannote[980].start 12093.90471875
transcript.pyannote[980].end 12096.18284375
transcript.pyannote[981].speaker SPEAKER_22
transcript.pyannote[981].start 12095.33909375
transcript.pyannote[981].end 12098.22471875
transcript.pyannote[982].speaker SPEAKER_15
transcript.pyannote[982].start 12097.48221875
transcript.pyannote[982].end 12114.15471875
transcript.pyannote[983].speaker SPEAKER_29
transcript.pyannote[983].start 12112.11284375
transcript.pyannote[983].end 12114.66096875
transcript.pyannote[984].speaker SPEAKER_15
transcript.pyannote[984].start 12114.50909375
transcript.pyannote[984].end 12115.21784375
transcript.pyannote[985].speaker SPEAKER_29
transcript.pyannote[985].start 12115.09971875
transcript.pyannote[985].end 12115.20096875
transcript.pyannote[986].speaker SPEAKER_29
transcript.pyannote[986].start 12115.21784375
transcript.pyannote[986].end 12115.45409375
transcript.pyannote[987].speaker SPEAKER_15
transcript.pyannote[987].start 12115.45409375
transcript.pyannote[987].end 12116.92221875
transcript.pyannote[988].speaker SPEAKER_29
transcript.pyannote[988].start 12117.19221875
transcript.pyannote[988].end 12121.47846875
transcript.pyannote[989].speaker SPEAKER_15
transcript.pyannote[989].start 12117.32721875
transcript.pyannote[989].end 12117.58034375
transcript.pyannote[990].speaker SPEAKER_15
transcript.pyannote[990].start 12120.39846875
transcript.pyannote[990].end 12126.20346875
transcript.pyannote[991].speaker SPEAKER_29
transcript.pyannote[991].start 12126.20346875
transcript.pyannote[991].end 12126.23721875
transcript.pyannote[992].speaker SPEAKER_15
transcript.pyannote[992].start 12126.23721875
transcript.pyannote[992].end 12126.28784375
transcript.pyannote[993].speaker SPEAKER_29
transcript.pyannote[993].start 12126.60846875
transcript.pyannote[993].end 12129.79784375
transcript.pyannote[994].speaker SPEAKER_15
transcript.pyannote[994].start 12128.73471875
transcript.pyannote[994].end 12146.09909375
transcript.pyannote[995].speaker SPEAKER_25
transcript.pyannote[995].start 12137.79659375
transcript.pyannote[995].end 12137.86409375
transcript.pyannote[996].speaker SPEAKER_29
transcript.pyannote[996].start 12137.86409375
transcript.pyannote[996].end 12137.89784375
transcript.pyannote[997].speaker SPEAKER_22
transcript.pyannote[997].start 12145.49159375
transcript.pyannote[997].end 12153.84471875
transcript.pyannote[998].speaker SPEAKER_15
transcript.pyannote[998].start 12150.03096875
transcript.pyannote[998].end 12158.01284375
transcript.pyannote[999].speaker SPEAKER_22
transcript.pyannote[999].start 12156.73034375
transcript.pyannote[999].end 12156.91596875
transcript.pyannote[1000].speaker SPEAKER_22
transcript.pyannote[1000].start 12157.37159375
transcript.pyannote[1000].end 12163.69971875
transcript.pyannote[1001].speaker SPEAKER_15
transcript.pyannote[1001].start 12162.14721875
transcript.pyannote[1001].end 12167.54721875
transcript.pyannote[1002].speaker SPEAKER_29
transcript.pyannote[1002].start 12163.69971875
transcript.pyannote[1002].end 12163.78409375
transcript.pyannote[1003].speaker SPEAKER_29
transcript.pyannote[1003].start 12165.87659375
transcript.pyannote[1003].end 12170.51721875
transcript.pyannote[1004].speaker SPEAKER_15
transcript.pyannote[1004].start 12169.74096875
transcript.pyannote[1004].end 12176.13659375
transcript.pyannote[1005].speaker SPEAKER_29
transcript.pyannote[1005].start 12175.30971875
transcript.pyannote[1005].end 12175.37721875
transcript.pyannote[1006].speaker SPEAKER_22
transcript.pyannote[1006].start 12175.37721875
transcript.pyannote[1006].end 12176.99721875
transcript.pyannote[1007].speaker SPEAKER_15
transcript.pyannote[1007].start 12177.26721875
transcript.pyannote[1007].end 12177.60471875
transcript.pyannote[1008].speaker SPEAKER_15
transcript.pyannote[1008].start 12178.58346875
transcript.pyannote[1008].end 12210.73034375
transcript.pyannote[1009].speaker SPEAKER_15
transcript.pyannote[1009].start 12211.54034375
transcript.pyannote[1009].end 12219.82596875
transcript.pyannote[1010].speaker SPEAKER_22
transcript.pyannote[1010].start 12211.57409375
transcript.pyannote[1010].end 12211.59096875
transcript.pyannote[1011].speaker SPEAKER_21
transcript.pyannote[1011].start 12211.59096875
transcript.pyannote[1011].end 12212.02971875
transcript.pyannote[1012].speaker SPEAKER_22
transcript.pyannote[1012].start 12212.02971875
transcript.pyannote[1012].end 12212.24909375
transcript.pyannote[1013].speaker SPEAKER_21
transcript.pyannote[1013].start 12212.24909375
transcript.pyannote[1013].end 12212.26596875
transcript.pyannote[1014].speaker SPEAKER_22
transcript.pyannote[1014].start 12212.26596875
transcript.pyannote[1014].end 12212.28284375
transcript.pyannote[1015].speaker SPEAKER_22
transcript.pyannote[1015].start 12219.82596875
transcript.pyannote[1015].end 12219.97784375
transcript.pyannote[1016].speaker SPEAKER_15
transcript.pyannote[1016].start 12219.97784375
transcript.pyannote[1016].end 12220.24784375
transcript.pyannote[1017].speaker SPEAKER_22
transcript.pyannote[1017].start 12220.24784375
transcript.pyannote[1017].end 12220.28159375
transcript.pyannote[1018].speaker SPEAKER_15
transcript.pyannote[1018].start 12220.28159375
transcript.pyannote[1018].end 12220.55159375
transcript.pyannote[1019].speaker SPEAKER_22
transcript.pyannote[1019].start 12220.55159375
transcript.pyannote[1019].end 12220.61909375
transcript.pyannote[1020].speaker SPEAKER_15
transcript.pyannote[1020].start 12220.61909375
transcript.pyannote[1020].end 12220.63596875
transcript.pyannote[1021].speaker SPEAKER_22
transcript.pyannote[1021].start 12220.63596875
transcript.pyannote[1021].end 12240.17721875
transcript.pyannote[1022].speaker SPEAKER_15
transcript.pyannote[1022].start 12222.57659375
transcript.pyannote[1022].end 12222.62721875
transcript.pyannote[1023].speaker SPEAKER_21
transcript.pyannote[1023].start 12222.62721875
transcript.pyannote[1023].end 12222.64409375
transcript.pyannote[1024].speaker SPEAKER_15
transcript.pyannote[1024].start 12222.64409375
transcript.pyannote[1024].end 12222.67784375
transcript.pyannote[1025].speaker SPEAKER_21
transcript.pyannote[1025].start 12222.67784375
transcript.pyannote[1025].end 12222.71159375
transcript.pyannote[1026].speaker SPEAKER_21
transcript.pyannote[1026].start 12222.76221875
transcript.pyannote[1026].end 12222.81284375
transcript.pyannote[1027].speaker SPEAKER_15
transcript.pyannote[1027].start 12230.89596875
transcript.pyannote[1027].end 12233.12346875
transcript.pyannote[1028].speaker SPEAKER_15
transcript.pyannote[1028].start 12239.38409375
transcript.pyannote[1028].end 12241.88159375
transcript.pyannote[1029].speaker SPEAKER_22
transcript.pyannote[1029].start 12240.26159375
transcript.pyannote[1029].end 12242.32034375
transcript.pyannote[1030].speaker SPEAKER_15
transcript.pyannote[1030].start 12242.74221875
transcript.pyannote[1030].end 12284.94659375
transcript.pyannote[1031].speaker SPEAKER_22
transcript.pyannote[1031].start 12243.16409375
transcript.pyannote[1031].end 12243.68721875
transcript.pyannote[1032].speaker SPEAKER_22
transcript.pyannote[1032].start 12284.94659375
transcript.pyannote[1032].end 12285.92534375
transcript.pyannote[1033].speaker SPEAKER_15
transcript.pyannote[1033].start 12285.65534375
transcript.pyannote[1033].end 12289.99221875
transcript.pyannote[1034].speaker SPEAKER_22
transcript.pyannote[1034].start 12289.26659375
transcript.pyannote[1034].end 12299.67846875
transcript.pyannote[1035].speaker SPEAKER_15
transcript.pyannote[1035].start 12296.82659375
transcript.pyannote[1035].end 12297.97409375
transcript.pyannote[1036].speaker SPEAKER_15
transcript.pyannote[1036].start 12298.04159375
transcript.pyannote[1036].end 12298.07534375
transcript.pyannote[1037].speaker SPEAKER_15
transcript.pyannote[1037].start 12298.14284375
transcript.pyannote[1037].end 12298.22721875
transcript.pyannote[1038].speaker SPEAKER_15
transcript.pyannote[1038].start 12298.83471875
transcript.pyannote[1038].end 12328.45034375
transcript.pyannote[1039].speaker SPEAKER_22
transcript.pyannote[1039].start 12327.40409375
transcript.pyannote[1039].end 12330.67784375
transcript.pyannote[1040].speaker SPEAKER_15
transcript.pyannote[1040].start 12329.47971875
transcript.pyannote[1040].end 12340.31346875
transcript.pyannote[1041].speaker SPEAKER_15
transcript.pyannote[1041].start 12340.81971875
transcript.pyannote[1041].end 12345.20721875
transcript.pyannote[1042].speaker SPEAKER_29
transcript.pyannote[1042].start 12345.83159375
transcript.pyannote[1042].end 12346.94534375
transcript.pyannote[1043].speaker SPEAKER_15
transcript.pyannote[1043].start 12346.74284375
transcript.pyannote[1043].end 12351.82221875
transcript.pyannote[1044].speaker SPEAKER_15
transcript.pyannote[1044].start 12352.22721875
transcript.pyannote[1044].end 12356.17596875
transcript.pyannote[1045].speaker SPEAKER_29
transcript.pyannote[1045].start 12355.70346875
transcript.pyannote[1045].end 12357.23909375
transcript.pyannote[1046].speaker SPEAKER_15
transcript.pyannote[1046].start 12356.98596875
transcript.pyannote[1046].end 12362.89221875
transcript.pyannote[1047].speaker SPEAKER_29
transcript.pyannote[1047].start 12359.28096875
transcript.pyannote[1047].end 12359.68596875
transcript.pyannote[1048].speaker SPEAKER_29
transcript.pyannote[1048].start 12363.04409375
transcript.pyannote[1048].end 12368.59596875
transcript.pyannote[1049].speaker SPEAKER_15
transcript.pyannote[1049].start 12366.11534375
transcript.pyannote[1049].end 12378.50159375
transcript.pyannote[1050].speaker SPEAKER_25
transcript.pyannote[1050].start 12377.48909375
transcript.pyannote[1050].end 12377.97846875
transcript.pyannote[1051].speaker SPEAKER_00
transcript.pyannote[1051].start 12377.97846875
transcript.pyannote[1051].end 12378.07971875
transcript.pyannote[1052].speaker SPEAKER_15
transcript.pyannote[1052].start 12378.75471875
transcript.pyannote[1052].end 12392.30534375
transcript.pyannote[1053].speaker SPEAKER_25
transcript.pyannote[1053].start 12390.97221875
transcript.pyannote[1053].end 12392.23784375
transcript.pyannote[1054].speaker SPEAKER_15
transcript.pyannote[1054].start 12392.71034375
transcript.pyannote[1054].end 12428.35034375
transcript.pyannote[1055].speaker SPEAKER_29
transcript.pyannote[1055].start 12396.15284375
transcript.pyannote[1055].end 12396.97971875
transcript.pyannote[1056].speaker SPEAKER_29
transcript.pyannote[1056].start 12427.97909375
transcript.pyannote[1056].end 12430.32471875
transcript.pyannote[1057].speaker SPEAKER_15
transcript.pyannote[1057].start 12430.93221875
transcript.pyannote[1057].end 12433.15971875
transcript.pyannote[1058].speaker SPEAKER_29
transcript.pyannote[1058].start 12433.56471875
transcript.pyannote[1058].end 12435.38721875
transcript.pyannote[1059].speaker SPEAKER_15
transcript.pyannote[1059].start 12435.35346875
transcript.pyannote[1059].end 12472.69784375
transcript.pyannote[1060].speaker SPEAKER_15
transcript.pyannote[1060].start 12472.91721875
transcript.pyannote[1060].end 12494.07846875
transcript.pyannote[1061].speaker SPEAKER_22
transcript.pyannote[1061].start 12492.18846875
transcript.pyannote[1061].end 12497.57159375
transcript.pyannote[1062].speaker SPEAKER_15
transcript.pyannote[1062].start 12497.65596875
transcript.pyannote[1062].end 12510.16034375
transcript.pyannote[1063].speaker SPEAKER_15
transcript.pyannote[1063].start 12510.80159375
transcript.pyannote[1063].end 12549.46221875
transcript.pyannote[1064].speaker SPEAKER_22
transcript.pyannote[1064].start 12549.14159375
transcript.pyannote[1064].end 12554.38971875
transcript.pyannote[1065].speaker SPEAKER_15
transcript.pyannote[1065].start 12553.24221875
transcript.pyannote[1065].end 12563.78909375
transcript.pyannote[1066].speaker SPEAKER_22
transcript.pyannote[1066].start 12554.64284375
transcript.pyannote[1066].end 12555.04784375
transcript.pyannote[1067].speaker SPEAKER_04
transcript.pyannote[1067].start 12571.24784375
transcript.pyannote[1067].end 12575.75346875
transcript.pyannote[1068].speaker SPEAKER_04
transcript.pyannote[1068].start 12576.69846875
transcript.pyannote[1068].end 12583.29659375
transcript.pyannote[1069].speaker SPEAKER_30
transcript.pyannote[1069].start 21640.68284375
transcript.pyannote[1069].end 21647.46659375
transcript.pyannote[1070].speaker SPEAKER_25
transcript.pyannote[1070].start 21640.73346875
transcript.pyannote[1070].end 21641.18909375
transcript.pyannote[1071].speaker SPEAKER_16
transcript.pyannote[1071].start 21686.81909375
transcript.pyannote[1071].end 21688.08471875
transcript.pyannote[1072].speaker SPEAKER_30
transcript.pyannote[1072].start 21688.08471875
transcript.pyannote[1072].end 21689.31659375
transcript.pyannote[1073].speaker SPEAKER_22
transcript.pyannote[1073].start 21701.23034375
transcript.pyannote[1073].end 21701.97284375
transcript.pyannote[1074].speaker SPEAKER_16
transcript.pyannote[1074].start 21701.97284375
transcript.pyannote[1074].end 21702.02346875
transcript.pyannote[1075].speaker SPEAKER_16
transcript.pyannote[1075].start 21702.56346875
transcript.pyannote[1075].end 21708.08159375
transcript.pyannote[1076].speaker SPEAKER_16
transcript.pyannote[1076].start 21708.41909375
transcript.pyannote[1076].end 21716.33346875
transcript.pyannote[1077].speaker SPEAKER_16
transcript.pyannote[1077].start 21721.46346875
transcript.pyannote[1077].end 21726.34034375
transcript.pyannote[1078].speaker SPEAKER_22
transcript.pyannote[1078].start 21727.55534375
transcript.pyannote[1078].end 21729.00659375
transcript.pyannote[1079].speaker SPEAKER_16
transcript.pyannote[1079].start 21729.66471875
transcript.pyannote[1079].end 21735.62159375
transcript.pyannote[1080].speaker SPEAKER_16
transcript.pyannote[1080].start 21735.90846875
transcript.pyannote[1080].end 21737.74784375
transcript.pyannote[1081].speaker SPEAKER_16
transcript.pyannote[1081].start 21738.11909375
transcript.pyannote[1081].end 21746.21909375
transcript.pyannote[1082].speaker SPEAKER_20
transcript.pyannote[1082].start 21745.81409375
transcript.pyannote[1082].end 21746.59034375
transcript.pyannote[1083].speaker SPEAKER_16
transcript.pyannote[1083].start 21747.94034375
transcript.pyannote[1083].end 21765.82784375
transcript.pyannote[1084].speaker SPEAKER_16
transcript.pyannote[1084].start 21766.14846875
transcript.pyannote[1084].end 21774.99096875
transcript.pyannote[1085].speaker SPEAKER_16
transcript.pyannote[1085].start 21777.31971875
transcript.pyannote[1085].end 21784.54221875
transcript.pyannote[1086].speaker SPEAKER_22
transcript.pyannote[1086].start 21785.75721875
transcript.pyannote[1086].end 21790.06034375
transcript.pyannote[1087].speaker SPEAKER_16
transcript.pyannote[1087].start 21790.27971875
transcript.pyannote[1087].end 21797.18159375
transcript.pyannote[1088].speaker SPEAKER_22
transcript.pyannote[1088].start 21797.67096875
transcript.pyannote[1088].end 21799.47659375
transcript.pyannote[1089].speaker SPEAKER_16
transcript.pyannote[1089].start 21799.71284375
transcript.pyannote[1089].end 21799.94909375
transcript.pyannote[1090].speaker SPEAKER_16
transcript.pyannote[1090].start 21799.96596875
transcript.pyannote[1090].end 21799.98284375
transcript.pyannote[1091].speaker SPEAKER_16
transcript.pyannote[1091].start 21800.15159375
transcript.pyannote[1091].end 21810.86721875
transcript.pyannote[1092].speaker SPEAKER_16
transcript.pyannote[1092].start 21812.33534375
transcript.pyannote[1092].end 21813.48284375
transcript.pyannote[1093].speaker SPEAKER_22
transcript.pyannote[1093].start 21812.70659375
transcript.pyannote[1093].end 21816.72284375
transcript.pyannote[1094].speaker SPEAKER_22
transcript.pyannote[1094].start 21817.24596875
transcript.pyannote[1094].end 21819.20346875
transcript.pyannote[1095].speaker SPEAKER_16
transcript.pyannote[1095].start 21819.20346875
transcript.pyannote[1095].end 21823.30409375
transcript.pyannote[1096].speaker SPEAKER_16
transcript.pyannote[1096].start 21823.37159375
transcript.pyannote[1096].end 21827.62409375
transcript.pyannote[1097].speaker SPEAKER_16
transcript.pyannote[1097].start 21828.28221875
transcript.pyannote[1097].end 21875.00909375
transcript.pyannote[1098].speaker SPEAKER_16
transcript.pyannote[1098].start 21875.19471875
transcript.pyannote[1098].end 21884.00346875
transcript.pyannote[1099].speaker SPEAKER_16
transcript.pyannote[1099].start 21884.07096875
transcript.pyannote[1099].end 21899.19096875
transcript.pyannote[1100].speaker SPEAKER_16
transcript.pyannote[1100].start 21899.42721875
transcript.pyannote[1100].end 21901.99221875
transcript.pyannote[1101].speaker SPEAKER_16
transcript.pyannote[1101].start 21902.39721875
transcript.pyannote[1101].end 21921.04409375
transcript.pyannote[1102].speaker SPEAKER_16
transcript.pyannote[1102].start 21921.21284375
transcript.pyannote[1102].end 21923.03534375
transcript.pyannote[1103].speaker SPEAKER_16
transcript.pyannote[1103].start 21923.64284375
transcript.pyannote[1103].end 21925.39784375
transcript.pyannote[1104].speaker SPEAKER_22
transcript.pyannote[1104].start 21924.82409375
transcript.pyannote[1104].end 21926.64659375
transcript.pyannote[1105].speaker SPEAKER_22
transcript.pyannote[1105].start 21926.91659375
transcript.pyannote[1105].end 21930.73034375
transcript.pyannote[1106].speaker SPEAKER_22
transcript.pyannote[1106].start 21930.89909375
transcript.pyannote[1106].end 21933.53159375
transcript.pyannote[1107].speaker SPEAKER_22
transcript.pyannote[1107].start 21933.66659375
transcript.pyannote[1107].end 21935.96159375
transcript.pyannote[1108].speaker SPEAKER_22
transcript.pyannote[1108].start 21936.01221875
transcript.pyannote[1108].end 21947.55471875
transcript.pyannote[1109].speaker SPEAKER_22
transcript.pyannote[1109].start 21948.24659375
transcript.pyannote[1109].end 21953.69721875
transcript.pyannote[1110].speaker SPEAKER_16
transcript.pyannote[1110].start 21949.17471875
transcript.pyannote[1110].end 21989.79284375
transcript.pyannote[1111].speaker SPEAKER_16
transcript.pyannote[1111].start 21990.02909375
transcript.pyannote[1111].end 21992.83034375
transcript.pyannote[1112].speaker SPEAKER_16
transcript.pyannote[1112].start 21993.79221875
transcript.pyannote[1112].end 22006.92096875
transcript.pyannote[1113].speaker SPEAKER_16
transcript.pyannote[1113].start 22007.17409375
transcript.pyannote[1113].end 22010.36346875
transcript.pyannote[1114].speaker SPEAKER_16
transcript.pyannote[1114].start 22010.71784375
transcript.pyannote[1114].end 22016.87721875
transcript.pyannote[1115].speaker SPEAKER_16
transcript.pyannote[1115].start 22017.26534375
transcript.pyannote[1115].end 22020.38721875
transcript.pyannote[1116].speaker SPEAKER_16
transcript.pyannote[1116].start 22020.85971875
transcript.pyannote[1116].end 22029.78659375
transcript.pyannote[1117].speaker SPEAKER_16
transcript.pyannote[1117].start 22030.46159375
transcript.pyannote[1117].end 22060.29659375
transcript.pyannote[1118].speaker SPEAKER_22
transcript.pyannote[1118].start 22060.95471875
transcript.pyannote[1118].end 22063.16534375
transcript.pyannote[1119].speaker SPEAKER_22
transcript.pyannote[1119].start 22063.28346875
transcript.pyannote[1119].end 22065.35909375
transcript.pyannote[1120].speaker SPEAKER_22
transcript.pyannote[1120].start 22065.86534375
transcript.pyannote[1120].end 22068.43034375
transcript.pyannote[1121].speaker SPEAKER_16
transcript.pyannote[1121].start 22068.43034375
transcript.pyannote[1121].end 22071.67034375
transcript.pyannote[1122].speaker SPEAKER_10
transcript.pyannote[1122].start 22068.90284375
transcript.pyannote[1122].end 22068.91971875
transcript.pyannote[1123].speaker SPEAKER_22
transcript.pyannote[1123].start 22068.91971875
transcript.pyannote[1123].end 22068.97034375
transcript.pyannote[1124].speaker SPEAKER_10
transcript.pyannote[1124].start 22068.97034375
transcript.pyannote[1124].end 22069.29096875
transcript.pyannote[1125].speaker SPEAKER_22
transcript.pyannote[1125].start 22069.29096875
transcript.pyannote[1125].end 22069.30784375
transcript.pyannote[1126].speaker SPEAKER_10
transcript.pyannote[1126].start 22072.63221875
transcript.pyannote[1126].end 22073.05409375
transcript.pyannote[1127].speaker SPEAKER_16
transcript.pyannote[1127].start 22073.03721875
transcript.pyannote[1127].end 22073.30721875
transcript.pyannote[1128].speaker SPEAKER_22
transcript.pyannote[1128].start 22073.05409375
transcript.pyannote[1128].end 22080.46221875
transcript.pyannote[1129].speaker SPEAKER_10
transcript.pyannote[1129].start 22073.30721875
transcript.pyannote[1129].end 22073.40846875
transcript.pyannote[1130].speaker SPEAKER_16
transcript.pyannote[1130].start 22073.40846875
transcript.pyannote[1130].end 22074.11721875
transcript.pyannote[1131].speaker SPEAKER_16
transcript.pyannote[1131].start 22079.56784375
transcript.pyannote[1131].end 22088.89971875
transcript.pyannote[1132].speaker SPEAKER_22
transcript.pyannote[1132].start 22087.97159375
transcript.pyannote[1132].end 22096.56096875
transcript.pyannote[1133].speaker SPEAKER_16
transcript.pyannote[1133].start 22096.15596875
transcript.pyannote[1133].end 22100.50971875
transcript.pyannote[1134].speaker SPEAKER_29
transcript.pyannote[1134].start 22096.56096875
transcript.pyannote[1134].end 22096.59471875
transcript.pyannote[1135].speaker SPEAKER_29
transcript.pyannote[1135].start 22099.96971875
transcript.pyannote[1135].end 22109.13284375
transcript.pyannote[1136].speaker SPEAKER_16
transcript.pyannote[1136].start 22106.88846875
transcript.pyannote[1136].end 22114.14471875
transcript.pyannote[1137].speaker SPEAKER_29
transcript.pyannote[1137].start 22110.39846875
transcript.pyannote[1137].end 22111.03971875
transcript.pyannote[1138].speaker SPEAKER_29
transcript.pyannote[1138].start 22113.70596875
transcript.pyannote[1138].end 22121.97471875
transcript.pyannote[1139].speaker SPEAKER_25
transcript.pyannote[1139].start 22120.72596875
transcript.pyannote[1139].end 22121.75534375
transcript.pyannote[1140].speaker SPEAKER_25
transcript.pyannote[1140].start 22121.97471875
transcript.pyannote[1140].end 22121.99159375
transcript.pyannote[1141].speaker SPEAKER_29
transcript.pyannote[1141].start 22121.99159375
transcript.pyannote[1141].end 22122.09284375
transcript.pyannote[1142].speaker SPEAKER_25
transcript.pyannote[1142].start 22122.09284375
transcript.pyannote[1142].end 22122.44721875
transcript.pyannote[1143].speaker SPEAKER_29
transcript.pyannote[1143].start 22122.14346875
transcript.pyannote[1143].end 22134.71534375
transcript.pyannote[1144].speaker SPEAKER_16
transcript.pyannote[1144].start 22132.43721875
transcript.pyannote[1144].end 22146.88221875
transcript.pyannote[1145].speaker SPEAKER_16
transcript.pyannote[1145].start 22147.48971875
transcript.pyannote[1145].end 22165.69784375
transcript.pyannote[1146].speaker SPEAKER_16
transcript.pyannote[1146].start 22165.81596875
transcript.pyannote[1146].end 22175.51909375
transcript.pyannote[1147].speaker SPEAKER_16
transcript.pyannote[1147].start 22175.82284375
transcript.pyannote[1147].end 22200.67971875
transcript.pyannote[1148].speaker SPEAKER_16
transcript.pyannote[1148].start 22201.35471875
transcript.pyannote[1148].end 22216.06971875
transcript.pyannote[1149].speaker SPEAKER_16
transcript.pyannote[1149].start 22216.39034375
transcript.pyannote[1149].end 22237.61909375
transcript.pyannote[1150].speaker SPEAKER_16
transcript.pyannote[1150].start 22237.88909375
transcript.pyannote[1150].end 22241.14596875
transcript.pyannote[1151].speaker SPEAKER_16
transcript.pyannote[1151].start 22241.34846875
transcript.pyannote[1151].end 22257.54846875
transcript.pyannote[1152].speaker SPEAKER_16
transcript.pyannote[1152].start 22257.93659375
transcript.pyannote[1152].end 22266.89721875
transcript.pyannote[1153].speaker SPEAKER_29
transcript.pyannote[1153].start 22267.72409375
transcript.pyannote[1153].end 22285.81409375
transcript.pyannote[1154].speaker SPEAKER_16
transcript.pyannote[1154].start 22286.92784375
transcript.pyannote[1154].end 22288.22721875
transcript.pyannote[1155].speaker SPEAKER_29
transcript.pyannote[1155].start 22287.28221875
transcript.pyannote[1155].end 22288.00784375
transcript.pyannote[1156].speaker SPEAKER_29
transcript.pyannote[1156].start 22288.53096875
transcript.pyannote[1156].end 22291.04534375
transcript.pyannote[1157].speaker SPEAKER_16
transcript.pyannote[1157].start 22293.20534375
transcript.pyannote[1157].end 22295.58471875
transcript.pyannote[1158].speaker SPEAKER_16
transcript.pyannote[1158].start 22296.27659375
transcript.pyannote[1158].end 22296.29346875
transcript.pyannote[1159].speaker SPEAKER_25
transcript.pyannote[1159].start 22296.29346875
transcript.pyannote[1159].end 22296.66471875
transcript.pyannote[1160].speaker SPEAKER_16
transcript.pyannote[1160].start 22296.66471875
transcript.pyannote[1160].end 22302.01409375
transcript.pyannote[1161].speaker SPEAKER_16
transcript.pyannote[1161].start 22302.43596875
transcript.pyannote[1161].end 22306.87409375
transcript.pyannote[1162].speaker SPEAKER_16
transcript.pyannote[1162].start 22307.38034375
transcript.pyannote[1162].end 22308.74721875
transcript.pyannote[1163].speaker SPEAKER_16
transcript.pyannote[1163].start 22308.93284375
transcript.pyannote[1163].end 22346.00721875
transcript.pyannote[1164].speaker SPEAKER_16
transcript.pyannote[1164].start 22346.19284375
transcript.pyannote[1164].end 22358.17409375
transcript.pyannote[1165].speaker SPEAKER_16
transcript.pyannote[1165].start 22358.29221875
transcript.pyannote[1165].end 22376.43284375
transcript.pyannote[1166].speaker SPEAKER_22
transcript.pyannote[1166].start 22376.85471875
transcript.pyannote[1166].end 22383.01409375
transcript.pyannote[1167].speaker SPEAKER_22
transcript.pyannote[1167].start 22383.23346875
transcript.pyannote[1167].end 22387.19909375
transcript.pyannote[1168].speaker SPEAKER_22
transcript.pyannote[1168].start 22387.26659375
transcript.pyannote[1168].end 22391.24909375
transcript.pyannote[1169].speaker SPEAKER_22
transcript.pyannote[1169].start 22391.55284375
transcript.pyannote[1169].end 22393.25721875
transcript.pyannote[1170].speaker SPEAKER_22
transcript.pyannote[1170].start 22393.49346875
transcript.pyannote[1170].end 22396.68284375
transcript.pyannote[1171].speaker SPEAKER_22
transcript.pyannote[1171].start 22396.80096875
transcript.pyannote[1171].end 22402.33596875
transcript.pyannote[1172].speaker SPEAKER_16
transcript.pyannote[1172].start 22401.89721875
transcript.pyannote[1172].end 22410.36846875
transcript.pyannote[1173].speaker SPEAKER_16
transcript.pyannote[1173].start 22410.79034375
transcript.pyannote[1173].end 22429.31909375
transcript.pyannote[1174].speaker SPEAKER_16
transcript.pyannote[1174].start 22429.52159375
transcript.pyannote[1174].end 22435.14096875
transcript.pyannote[1175].speaker SPEAKER_16
transcript.pyannote[1175].start 22435.74846875
transcript.pyannote[1175].end 22436.79471875
transcript.pyannote[1176].speaker SPEAKER_16
transcript.pyannote[1176].start 22437.08159375
transcript.pyannote[1176].end 22442.85284375
transcript.pyannote[1177].speaker SPEAKER_16
transcript.pyannote[1177].start 22443.42659375
transcript.pyannote[1177].end 22448.74221875
transcript.pyannote[1178].speaker SPEAKER_16
transcript.pyannote[1178].start 22448.79284375
transcript.pyannote[1178].end 22457.34846875
transcript.pyannote[1179].speaker SPEAKER_16
transcript.pyannote[1179].start 22457.51721875
transcript.pyannote[1179].end 22460.25096875
transcript.pyannote[1180].speaker SPEAKER_16
transcript.pyannote[1180].start 22460.40284375
transcript.pyannote[1180].end 22466.74784375
transcript.pyannote[1181].speaker SPEAKER_29
transcript.pyannote[1181].start 22467.69284375
transcript.pyannote[1181].end 22470.07221875
transcript.pyannote[1182].speaker SPEAKER_16
transcript.pyannote[1182].start 22470.34221875
transcript.pyannote[1182].end 22471.99596875
transcript.pyannote[1183].speaker SPEAKER_16
transcript.pyannote[1183].start 22472.01284375
transcript.pyannote[1183].end 22472.02971875
transcript.pyannote[1184].speaker SPEAKER_29
transcript.pyannote[1184].start 22472.02971875
transcript.pyannote[1184].end 22472.24909375
transcript.pyannote[1185].speaker SPEAKER_16
transcript.pyannote[1185].start 22472.24909375
transcript.pyannote[1185].end 22473.44721875
transcript.pyannote[1186].speaker SPEAKER_29
transcript.pyannote[1186].start 22473.70034375
transcript.pyannote[1186].end 22488.97221875
transcript.pyannote[1187].speaker SPEAKER_16
transcript.pyannote[1187].start 22487.99346875
transcript.pyannote[1187].end 22493.35971875
transcript.pyannote[1188].speaker SPEAKER_29
transcript.pyannote[1188].start 22493.35971875
transcript.pyannote[1188].end 22511.70284375
transcript.pyannote[1189].speaker SPEAKER_29
transcript.pyannote[1189].start 22512.17534375
transcript.pyannote[1189].end 22527.32909375
transcript.pyannote[1190].speaker SPEAKER_16
transcript.pyannote[1190].start 22523.86971875
transcript.pyannote[1190].end 22526.26596875
transcript.pyannote[1191].speaker SPEAKER_16
transcript.pyannote[1191].start 22527.37971875
transcript.pyannote[1191].end 22563.03659375
transcript.pyannote[1192].speaker SPEAKER_29
transcript.pyannote[1192].start 22563.03659375
transcript.pyannote[1192].end 22563.28971875
transcript.pyannote[1193].speaker SPEAKER_29
transcript.pyannote[1193].start 22563.54284375
transcript.pyannote[1193].end 22584.63659375
transcript.pyannote[1194].speaker SPEAKER_16
transcript.pyannote[1194].start 22584.92346875
transcript.pyannote[1194].end 22597.44471875
transcript.pyannote[1195].speaker SPEAKER_22
transcript.pyannote[1195].start 22597.96784375
transcript.pyannote[1195].end 22605.12284375
transcript.pyannote[1196].speaker SPEAKER_16
transcript.pyannote[1196].start 22603.46909375
transcript.pyannote[1196].end 22604.24534375
transcript.pyannote[1197].speaker SPEAKER_16
transcript.pyannote[1197].start 22604.43096875
transcript.pyannote[1197].end 22605.44346875
transcript.pyannote[1198].speaker SPEAKER_30
transcript.pyannote[1198].start 22608.14346875
transcript.pyannote[1198].end 22609.89846875
transcript.pyannote[1199].speaker SPEAKER_30
transcript.pyannote[1199].start 22610.82659375
transcript.pyannote[1199].end 22612.29471875
transcript.pyannote[1200].speaker SPEAKER_30
transcript.pyannote[1200].start 22612.61534375
transcript.pyannote[1200].end 22615.70346875
transcript.pyannote[1201].speaker SPEAKER_02
transcript.pyannote[1201].start 22633.99596875
transcript.pyannote[1201].end 22638.04596875
transcript.pyannote[1202].speaker SPEAKER_30
transcript.pyannote[1202].start 22638.04596875
transcript.pyannote[1202].end 22638.06284375
transcript.pyannote[1203].speaker SPEAKER_25
transcript.pyannote[1203].start 22646.01096875
transcript.pyannote[1203].end 22646.02784375
transcript.pyannote[1204].speaker SPEAKER_21
transcript.pyannote[1204].start 22646.02784375
transcript.pyannote[1204].end 22646.71971875
transcript.pyannote[1205].speaker SPEAKER_02
transcript.pyannote[1205].start 22646.12909375
transcript.pyannote[1205].end 22648.62659375
transcript.pyannote[1206].speaker SPEAKER_25
transcript.pyannote[1206].start 22646.71971875
transcript.pyannote[1206].end 22646.77034375
transcript.pyannote[1207].speaker SPEAKER_21
transcript.pyannote[1207].start 22649.23409375
transcript.pyannote[1207].end 22649.33534375
transcript.pyannote[1208].speaker SPEAKER_22
transcript.pyannote[1208].start 22649.33534375
transcript.pyannote[1208].end 22651.78221875
transcript.pyannote[1209].speaker SPEAKER_02
transcript.pyannote[1209].start 22650.88784375
transcript.pyannote[1209].end 22680.65534375
transcript.pyannote[1210].speaker SPEAKER_02
transcript.pyannote[1210].start 22681.41471875
transcript.pyannote[1210].end 22683.11909375
transcript.pyannote[1211].speaker SPEAKER_02
transcript.pyannote[1211].start 22683.45659375
transcript.pyannote[1211].end 22688.02971875
transcript.pyannote[1212].speaker SPEAKER_22
transcript.pyannote[1212].start 22683.60846875
transcript.pyannote[1212].end 22683.96284375
transcript.pyannote[1213].speaker SPEAKER_22
transcript.pyannote[1213].start 22688.43471875
transcript.pyannote[1213].end 22693.02471875
transcript.pyannote[1214].speaker SPEAKER_02
transcript.pyannote[1214].start 22689.17721875
transcript.pyannote[1214].end 22689.61596875
transcript.pyannote[1215].speaker SPEAKER_02
transcript.pyannote[1215].start 22690.79721875
transcript.pyannote[1215].end 22691.16846875
transcript.pyannote[1216].speaker SPEAKER_02
transcript.pyannote[1216].start 22693.02471875
transcript.pyannote[1216].end 22693.09221875
transcript.pyannote[1217].speaker SPEAKER_02
transcript.pyannote[1217].start 22694.05409375
transcript.pyannote[1217].end 22702.03596875
transcript.pyannote[1218].speaker SPEAKER_22
transcript.pyannote[1218].start 22702.79534375
transcript.pyannote[1218].end 22711.90784375
transcript.pyannote[1219].speaker SPEAKER_02
transcript.pyannote[1219].start 22705.74846875
transcript.pyannote[1219].end 22707.95909375
transcript.pyannote[1220].speaker SPEAKER_02
transcript.pyannote[1220].start 22709.39346875
transcript.pyannote[1220].end 22712.61659375
transcript.pyannote[1221].speaker SPEAKER_02
transcript.pyannote[1221].start 22712.86971875
transcript.pyannote[1221].end 22725.32346875
transcript.pyannote[1222].speaker SPEAKER_02
transcript.pyannote[1222].start 22725.50909375
transcript.pyannote[1222].end 22739.43096875
transcript.pyannote[1223].speaker SPEAKER_02
transcript.pyannote[1223].start 22739.97096875
transcript.pyannote[1223].end 22767.12284375
transcript.pyannote[1224].speaker SPEAKER_02
transcript.pyannote[1224].start 22767.40971875
transcript.pyannote[1224].end 22783.47471875
transcript.pyannote[1225].speaker SPEAKER_22
transcript.pyannote[1225].start 22784.95971875
transcript.pyannote[1225].end 22787.89596875
transcript.pyannote[1226].speaker SPEAKER_22
transcript.pyannote[1226].start 22788.04784375
transcript.pyannote[1226].end 22788.55409375
transcript.pyannote[1227].speaker SPEAKER_22
transcript.pyannote[1227].start 22789.33034375
transcript.pyannote[1227].end 22792.43534375
transcript.pyannote[1228].speaker SPEAKER_22
transcript.pyannote[1228].start 22792.87409375
transcript.pyannote[1228].end 22796.43471875
transcript.pyannote[1229].speaker SPEAKER_11
transcript.pyannote[1229].start 22792.90784375
transcript.pyannote[1229].end 22793.31284375
transcript.pyannote[1230].speaker SPEAKER_00
transcript.pyannote[1230].start 22793.31284375
transcript.pyannote[1230].end 22793.38034375
transcript.pyannote[1231].speaker SPEAKER_00
transcript.pyannote[1231].start 22793.66721875
transcript.pyannote[1231].end 22793.68409375
transcript.pyannote[1232].speaker SPEAKER_11
transcript.pyannote[1232].start 22793.68409375
transcript.pyannote[1232].end 22794.37596875
transcript.pyannote[1233].speaker SPEAKER_22
transcript.pyannote[1233].start 22796.68784375
transcript.pyannote[1233].end 22800.45096875
transcript.pyannote[1234].speaker SPEAKER_21
transcript.pyannote[1234].start 22799.92784375
transcript.pyannote[1234].end 22800.23159375
transcript.pyannote[1235].speaker SPEAKER_22
transcript.pyannote[1235].start 22800.56909375
transcript.pyannote[1235].end 22817.88284375
transcript.pyannote[1236].speaker SPEAKER_22
transcript.pyannote[1236].start 22818.32159375
transcript.pyannote[1236].end 22825.42596875
transcript.pyannote[1237].speaker SPEAKER_02
transcript.pyannote[1237].start 22823.13096875
transcript.pyannote[1237].end 22832.04096875
transcript.pyannote[1238].speaker SPEAKER_22
transcript.pyannote[1238].start 22825.64534375
transcript.pyannote[1238].end 22825.74659375
transcript.pyannote[1239].speaker SPEAKER_02
transcript.pyannote[1239].start 22832.19284375
transcript.pyannote[1239].end 22833.01971875
transcript.pyannote[1240].speaker SPEAKER_02
transcript.pyannote[1240].start 22833.30659375
transcript.pyannote[1240].end 22833.89721875
transcript.pyannote[1241].speaker SPEAKER_02
transcript.pyannote[1241].start 22834.65659375
transcript.pyannote[1241].end 22838.35221875
transcript.pyannote[1242].speaker SPEAKER_02
transcript.pyannote[1242].start 22838.79096875
transcript.pyannote[1242].end 22866.21284375
transcript.pyannote[1243].speaker SPEAKER_02
transcript.pyannote[1243].start 22866.53346875
transcript.pyannote[1243].end 22888.80846875
transcript.pyannote[1244].speaker SPEAKER_02
transcript.pyannote[1244].start 22889.34846875
transcript.pyannote[1244].end 22894.73159375
transcript.pyannote[1245].speaker SPEAKER_02
transcript.pyannote[1245].start 22894.84971875
transcript.pyannote[1245].end 22919.48721875
transcript.pyannote[1246].speaker SPEAKER_02
transcript.pyannote[1246].start 22920.24659375
transcript.pyannote[1246].end 22932.49784375
transcript.pyannote[1247].speaker SPEAKER_22
transcript.pyannote[1247].start 22933.03784375
transcript.pyannote[1247].end 22935.58596875
transcript.pyannote[1248].speaker SPEAKER_22
transcript.pyannote[1248].start 22936.02471875
transcript.pyannote[1248].end 22936.95284375
transcript.pyannote[1249].speaker SPEAKER_22
transcript.pyannote[1249].start 22937.29034375
transcript.pyannote[1249].end 22940.98596875
transcript.pyannote[1250].speaker SPEAKER_11
transcript.pyannote[1250].start 22940.98596875
transcript.pyannote[1250].end 22941.28971875
transcript.pyannote[1251].speaker SPEAKER_22
transcript.pyannote[1251].start 22941.28971875
transcript.pyannote[1251].end 22945.76159375
transcript.pyannote[1252].speaker SPEAKER_22
transcript.pyannote[1252].start 22945.99784375
transcript.pyannote[1252].end 22949.94659375
transcript.pyannote[1253].speaker SPEAKER_22
transcript.pyannote[1253].start 22950.21659375
transcript.pyannote[1253].end 22951.22909375
transcript.pyannote[1254].speaker SPEAKER_22
transcript.pyannote[1254].start 22951.53284375
transcript.pyannote[1254].end 22962.26534375
transcript.pyannote[1255].speaker SPEAKER_29
transcript.pyannote[1255].start 22961.59034375
transcript.pyannote[1255].end 22975.30971875
transcript.pyannote[1256].speaker SPEAKER_02
transcript.pyannote[1256].start 22973.97659375
transcript.pyannote[1256].end 22978.07721875
transcript.pyannote[1257].speaker SPEAKER_02
transcript.pyannote[1257].start 22978.43159375
transcript.pyannote[1257].end 22991.66159375
transcript.pyannote[1258].speaker SPEAKER_29
transcript.pyannote[1258].start 22981.21596875
transcript.pyannote[1258].end 22981.43534375
transcript.pyannote[1259].speaker SPEAKER_25
transcript.pyannote[1259].start 22992.15096875
transcript.pyannote[1259].end 22992.53909375
transcript.pyannote[1260].speaker SPEAKER_02
transcript.pyannote[1260].start 22992.53909375
transcript.pyannote[1260].end 22998.27659375
transcript.pyannote[1261].speaker SPEAKER_02
transcript.pyannote[1261].start 22998.83346875
transcript.pyannote[1261].end 23000.31846875
transcript.pyannote[1262].speaker SPEAKER_25
transcript.pyannote[1262].start 23000.45346875
transcript.pyannote[1262].end 23000.55471875
transcript.pyannote[1263].speaker SPEAKER_21
transcript.pyannote[1263].start 23000.55471875
transcript.pyannote[1263].end 23000.63909375
transcript.pyannote[1264].speaker SPEAKER_02
transcript.pyannote[1264].start 23000.92596875
transcript.pyannote[1264].end 23002.83284375
transcript.pyannote[1265].speaker SPEAKER_02
transcript.pyannote[1265].start 23003.20409375
transcript.pyannote[1265].end 23003.82846875
transcript.pyannote[1266].speaker SPEAKER_02
transcript.pyannote[1266].start 23004.14909375
transcript.pyannote[1266].end 23005.44846875
transcript.pyannote[1267].speaker SPEAKER_02
transcript.pyannote[1267].start 23005.54971875
transcript.pyannote[1267].end 23007.82784375
transcript.pyannote[1268].speaker SPEAKER_02
transcript.pyannote[1268].start 23008.23284375
transcript.pyannote[1268].end 23014.20659375
transcript.pyannote[1269].speaker SPEAKER_02
transcript.pyannote[1269].start 23014.94909375
transcript.pyannote[1269].end 23026.47471875
transcript.pyannote[1270].speaker SPEAKER_02
transcript.pyannote[1270].start 23026.59284375
transcript.pyannote[1270].end 23033.73096875
transcript.pyannote[1271].speaker SPEAKER_02
transcript.pyannote[1271].start 23034.18659375
transcript.pyannote[1271].end 23037.12284375
transcript.pyannote[1272].speaker SPEAKER_02
transcript.pyannote[1272].start 23037.30846875
transcript.pyannote[1272].end 23042.60721875
transcript.pyannote[1273].speaker SPEAKER_02
transcript.pyannote[1273].start 23042.91096875
transcript.pyannote[1273].end 23057.38971875
transcript.pyannote[1274].speaker SPEAKER_02
transcript.pyannote[1274].start 23057.65971875
transcript.pyannote[1274].end 23062.78971875
transcript.pyannote[1275].speaker SPEAKER_02
transcript.pyannote[1275].start 23062.90784375
transcript.pyannote[1275].end 23063.97096875
transcript.pyannote[1276].speaker SPEAKER_02
transcript.pyannote[1276].start 23064.10596875
transcript.pyannote[1276].end 23065.40534375
transcript.pyannote[1277].speaker SPEAKER_22
transcript.pyannote[1277].start 23066.82284375
transcript.pyannote[1277].end 23069.32034375
transcript.pyannote[1278].speaker SPEAKER_22
transcript.pyannote[1278].start 23070.29909375
transcript.pyannote[1278].end 23071.61534375
transcript.pyannote[1279].speaker SPEAKER_02
transcript.pyannote[1279].start 23070.45096875
transcript.pyannote[1279].end 23070.83909375
transcript.pyannote[1280].speaker SPEAKER_22
transcript.pyannote[1280].start 23071.66596875
transcript.pyannote[1280].end 23076.13784375
transcript.pyannote[1281].speaker SPEAKER_02
transcript.pyannote[1281].start 23074.04534375
transcript.pyannote[1281].end 23074.51784375
transcript.pyannote[1282].speaker SPEAKER_22
transcript.pyannote[1282].start 23076.27284375
transcript.pyannote[1282].end 23078.02784375
transcript.pyannote[1283].speaker SPEAKER_02
transcript.pyannote[1283].start 23078.02784375
transcript.pyannote[1283].end 23078.55096875
transcript.pyannote[1284].speaker SPEAKER_22
transcript.pyannote[1284].start 23078.55096875
transcript.pyannote[1284].end 23078.56784375
transcript.pyannote[1285].speaker SPEAKER_21
transcript.pyannote[1285].start 23079.05721875
transcript.pyannote[1285].end 23079.15846875
transcript.pyannote[1286].speaker SPEAKER_02
transcript.pyannote[1286].start 23079.15846875
transcript.pyannote[1286].end 23079.31034375
transcript.pyannote[1287].speaker SPEAKER_02
transcript.pyannote[1287].start 23079.61409375
transcript.pyannote[1287].end 23084.50784375
transcript.pyannote[1288].speaker SPEAKER_02
transcript.pyannote[1288].start 23087.47784375
transcript.pyannote[1288].end 23091.46034375
transcript.pyannote[1289].speaker SPEAKER_02
transcript.pyannote[1289].start 23091.76409375
transcript.pyannote[1289].end 23092.48971875
transcript.pyannote[1290].speaker SPEAKER_02
transcript.pyannote[1290].start 23092.96221875
transcript.pyannote[1290].end 23095.15596875
transcript.pyannote[1291].speaker SPEAKER_02
transcript.pyannote[1291].start 23095.34159375
transcript.pyannote[1291].end 23098.31159375
transcript.pyannote[1292].speaker SPEAKER_02
transcript.pyannote[1292].start 23098.48034375
transcript.pyannote[1292].end 23102.58096875
transcript.pyannote[1293].speaker SPEAKER_22
transcript.pyannote[1293].start 23104.65659375
transcript.pyannote[1293].end 23105.43284375
transcript.pyannote[1294].speaker SPEAKER_02
transcript.pyannote[1294].start 23105.70284375
transcript.pyannote[1294].end 23105.71971875
transcript.pyannote[1295].speaker SPEAKER_22
transcript.pyannote[1295].start 23105.71971875
transcript.pyannote[1295].end 23105.73659375
transcript.pyannote[1296].speaker SPEAKER_02
transcript.pyannote[1296].start 23105.73659375
transcript.pyannote[1296].end 23106.59721875
transcript.pyannote[1297].speaker SPEAKER_22
transcript.pyannote[1297].start 23106.74909375
transcript.pyannote[1297].end 23108.58846875
transcript.pyannote[1298].speaker SPEAKER_29
transcript.pyannote[1298].start 23107.37346875
transcript.pyannote[1298].end 23107.49159375
transcript.pyannote[1299].speaker SPEAKER_02
transcript.pyannote[1299].start 23107.49159375
transcript.pyannote[1299].end 23108.60534375
transcript.pyannote[1300].speaker SPEAKER_22
transcript.pyannote[1300].start 23108.60534375
transcript.pyannote[1300].end 23108.65596875
transcript.pyannote[1301].speaker SPEAKER_29
transcript.pyannote[1301].start 23108.65596875
transcript.pyannote[1301].end 23108.68971875
transcript.pyannote[1302].speaker SPEAKER_22
transcript.pyannote[1302].start 23108.97659375
transcript.pyannote[1302].end 23110.03971875
transcript.pyannote[1303].speaker SPEAKER_22
transcript.pyannote[1303].start 23111.62596875
transcript.pyannote[1303].end 23113.61721875
transcript.pyannote[1304].speaker SPEAKER_22
transcript.pyannote[1304].start 23113.88721875
transcript.pyannote[1304].end 23117.11034375
transcript.pyannote[1305].speaker SPEAKER_02
transcript.pyannote[1305].start 23117.11034375
transcript.pyannote[1305].end 23117.14409375
transcript.pyannote[1306].speaker SPEAKER_22
transcript.pyannote[1306].start 23117.14409375
transcript.pyannote[1306].end 23118.76409375
transcript.pyannote[1307].speaker SPEAKER_02
transcript.pyannote[1307].start 23117.41409375
transcript.pyannote[1307].end 23118.73034375
transcript.pyannote[1308].speaker SPEAKER_02
transcript.pyannote[1308].start 23118.76409375
transcript.pyannote[1308].end 23122.66221875
transcript.pyannote[1309].speaker SPEAKER_22
transcript.pyannote[1309].start 23124.77159375
transcript.pyannote[1309].end 23125.24409375
transcript.pyannote[1310].speaker SPEAKER_02
transcript.pyannote[1310].start 23124.82221875
transcript.pyannote[1310].end 23125.05846875
transcript.pyannote[1311].speaker SPEAKER_22
transcript.pyannote[1311].start 23125.49721875
transcript.pyannote[1311].end 23128.66971875
transcript.pyannote[1312].speaker SPEAKER_29
transcript.pyannote[1312].start 23128.66971875
transcript.pyannote[1312].end 23129.68221875
transcript.pyannote[1313].speaker SPEAKER_22
transcript.pyannote[1313].start 23129.96909375
transcript.pyannote[1313].end 23131.15034375
transcript.pyannote[1314].speaker SPEAKER_22
transcript.pyannote[1314].start 23131.47096875
transcript.pyannote[1314].end 23132.71971875
transcript.pyannote[1315].speaker SPEAKER_22
transcript.pyannote[1315].start 23133.09096875
transcript.pyannote[1315].end 23134.03596875
transcript.pyannote[1316].speaker SPEAKER_02
transcript.pyannote[1316].start 23134.03596875
transcript.pyannote[1316].end 23134.06971875
transcript.pyannote[1317].speaker SPEAKER_22
transcript.pyannote[1317].start 23134.06971875
transcript.pyannote[1317].end 23134.42409375
transcript.pyannote[1318].speaker SPEAKER_25
transcript.pyannote[1318].start 23134.35659375
transcript.pyannote[1318].end 23134.72784375
transcript.pyannote[1319].speaker SPEAKER_22
transcript.pyannote[1319].start 23134.54221875
transcript.pyannote[1319].end 23134.60971875
transcript.pyannote[1320].speaker SPEAKER_02
transcript.pyannote[1320].start 23134.60971875
transcript.pyannote[1320].end 23140.56659375
transcript.pyannote[1321].speaker SPEAKER_22
transcript.pyannote[1321].start 23134.72784375
transcript.pyannote[1321].end 23134.96409375
transcript.pyannote[1322].speaker SPEAKER_02
transcript.pyannote[1322].start 23140.83659375
transcript.pyannote[1322].end 23145.39284375
transcript.pyannote[1323].speaker SPEAKER_02
transcript.pyannote[1323].start 23145.74721875
transcript.pyannote[1323].end 23148.85221875
transcript.pyannote[1324].speaker SPEAKER_02
transcript.pyannote[1324].start 23149.18971875
transcript.pyannote[1324].end 23159.73659375
transcript.pyannote[1325].speaker SPEAKER_02
transcript.pyannote[1325].start 23161.03596875
transcript.pyannote[1325].end 23163.90471875
transcript.pyannote[1326].speaker SPEAKER_29
transcript.pyannote[1326].start 23167.90409375
transcript.pyannote[1326].end 23167.92096875
transcript.pyannote[1327].speaker SPEAKER_02
transcript.pyannote[1327].start 23167.92096875
transcript.pyannote[1327].end 23169.38909375
transcript.pyannote[1328].speaker SPEAKER_02
transcript.pyannote[1328].start 23169.87846875
transcript.pyannote[1328].end 23169.96284375
transcript.pyannote[1329].speaker SPEAKER_22
transcript.pyannote[1329].start 23169.96284375
transcript.pyannote[1329].end 23170.03034375
transcript.pyannote[1330].speaker SPEAKER_02
transcript.pyannote[1330].start 23170.03034375
transcript.pyannote[1330].end 23170.09784375
transcript.pyannote[1331].speaker SPEAKER_22
transcript.pyannote[1331].start 23170.77284375
transcript.pyannote[1331].end 23172.30846875
transcript.pyannote[1332].speaker SPEAKER_02
transcript.pyannote[1332].start 23172.30846875
transcript.pyannote[1332].end 23174.62034375
transcript.pyannote[1333].speaker SPEAKER_22
transcript.pyannote[1333].start 23172.35909375
transcript.pyannote[1333].end 23172.44346875
transcript.pyannote[1334].speaker SPEAKER_22
transcript.pyannote[1334].start 23175.44721875
transcript.pyannote[1334].end 23177.32034375
transcript.pyannote[1335].speaker SPEAKER_22
transcript.pyannote[1335].start 23177.45534375
transcript.pyannote[1335].end 23178.14721875
transcript.pyannote[1336].speaker SPEAKER_22
transcript.pyannote[1336].start 23178.80534375
transcript.pyannote[1336].end 23180.59409375
transcript.pyannote[1337].speaker SPEAKER_22
transcript.pyannote[1337].start 23181.15096875
transcript.pyannote[1337].end 23181.91034375
transcript.pyannote[1338].speaker SPEAKER_22
transcript.pyannote[1338].start 23182.87221875
transcript.pyannote[1338].end 23182.90596875
transcript.pyannote[1339].speaker SPEAKER_02
transcript.pyannote[1339].start 23182.90596875
transcript.pyannote[1339].end 23185.04909375
transcript.pyannote[1340].speaker SPEAKER_02
transcript.pyannote[1340].start 23185.38659375
transcript.pyannote[1340].end 23186.43284375
transcript.pyannote[1341].speaker SPEAKER_02
transcript.pyannote[1341].start 23186.83784375
transcript.pyannote[1341].end 23189.92596875
transcript.pyannote[1342].speaker SPEAKER_02
transcript.pyannote[1342].start 23190.21284375
transcript.pyannote[1342].end 23191.15784375
transcript.pyannote[1343].speaker SPEAKER_29
transcript.pyannote[1343].start 23193.84096875
transcript.pyannote[1343].end 23196.03471875
transcript.pyannote[1344].speaker SPEAKER_02
transcript.pyannote[1344].start 23195.62971875
transcript.pyannote[1344].end 23195.64659375
transcript.pyannote[1345].speaker SPEAKER_02
transcript.pyannote[1345].start 23195.74784375
transcript.pyannote[1345].end 23195.76471875
transcript.pyannote[1346].speaker SPEAKER_02
transcript.pyannote[1346].start 23196.03471875
transcript.pyannote[1346].end 23196.05159375
transcript.pyannote[1347].speaker SPEAKER_29
transcript.pyannote[1347].start 23196.05159375
transcript.pyannote[1347].end 23196.11909375
transcript.pyannote[1348].speaker SPEAKER_02
transcript.pyannote[1348].start 23196.11909375
transcript.pyannote[1348].end 23196.15284375
transcript.pyannote[1349].speaker SPEAKER_29
transcript.pyannote[1349].start 23196.15284375
transcript.pyannote[1349].end 23196.87846875
transcript.pyannote[1350].speaker SPEAKER_29
transcript.pyannote[1350].start 23197.08096875
transcript.pyannote[1350].end 23197.70534375
transcript.pyannote[1351].speaker SPEAKER_22
transcript.pyannote[1351].start 23198.14409375
transcript.pyannote[1351].end 23200.81034375
transcript.pyannote[1352].speaker SPEAKER_02
transcript.pyannote[1352].start 23201.78909375
transcript.pyannote[1352].end 23205.56909375
transcript.pyannote[1353].speaker SPEAKER_22
transcript.pyannote[1353].start 23205.73784375
transcript.pyannote[1353].end 23205.75471875
transcript.pyannote[1354].speaker SPEAKER_29
transcript.pyannote[1354].start 23205.75471875
transcript.pyannote[1354].end 23205.77159375
transcript.pyannote[1355].speaker SPEAKER_22
transcript.pyannote[1355].start 23205.77159375
transcript.pyannote[1355].end 23205.97409375
transcript.pyannote[1356].speaker SPEAKER_29
transcript.pyannote[1356].start 23205.97409375
transcript.pyannote[1356].end 23207.03721875
transcript.pyannote[1357].speaker SPEAKER_02
transcript.pyannote[1357].start 23207.03721875
transcript.pyannote[1357].end 23209.43346875
transcript.pyannote[1358].speaker SPEAKER_22
transcript.pyannote[1358].start 23214.59721875
transcript.pyannote[1358].end 23214.61409375
transcript.pyannote[1359].speaker SPEAKER_02
transcript.pyannote[1359].start 23214.61409375
transcript.pyannote[1359].end 23215.79534375
transcript.pyannote[1360].speaker SPEAKER_22
transcript.pyannote[1360].start 23214.71534375
transcript.pyannote[1360].end 23218.14096875
transcript.pyannote[1361].speaker SPEAKER_02
transcript.pyannote[1361].start 23217.19596875
transcript.pyannote[1361].end 23224.51971875
transcript.pyannote[1362].speaker SPEAKER_29
transcript.pyannote[1362].start 23221.14471875
transcript.pyannote[1362].end 23221.31346875
transcript.pyannote[1363].speaker SPEAKER_22
transcript.pyannote[1363].start 23221.31346875
transcript.pyannote[1363].end 23221.46534375
transcript.pyannote[1364].speaker SPEAKER_29
transcript.pyannote[1364].start 23221.46534375
transcript.pyannote[1364].end 23221.58346875
transcript.pyannote[1365].speaker SPEAKER_02
transcript.pyannote[1365].start 23225.59971875
transcript.pyannote[1365].end 23231.21909375
transcript.pyannote[1366].speaker SPEAKER_02
transcript.pyannote[1366].start 23231.32034375
transcript.pyannote[1366].end 23240.83784375
transcript.pyannote[1367].speaker SPEAKER_00
transcript.pyannote[1367].start 23235.62346875
transcript.pyannote[1367].end 23236.56846875
transcript.pyannote[1368].speaker SPEAKER_00
transcript.pyannote[1368].start 23237.09159375
transcript.pyannote[1368].end 23237.78346875
transcript.pyannote[1369].speaker SPEAKER_00
transcript.pyannote[1369].start 23238.59346875
transcript.pyannote[1369].end 23238.82971875
transcript.pyannote[1370].speaker SPEAKER_02
transcript.pyannote[1370].start 23241.81659375
transcript.pyannote[1370].end 23242.00221875
transcript.pyannote[1371].speaker SPEAKER_02
transcript.pyannote[1371].start 23242.28909375
transcript.pyannote[1371].end 23245.22534375
transcript.pyannote[1372].speaker SPEAKER_02
transcript.pyannote[1372].start 23245.56284375
transcript.pyannote[1372].end 23253.57846875
transcript.pyannote[1373].speaker SPEAKER_02
transcript.pyannote[1373].start 23253.94971875
transcript.pyannote[1373].end 23257.94909375
transcript.pyannote[1374].speaker SPEAKER_02
transcript.pyannote[1374].start 23258.70846875
transcript.pyannote[1374].end 23270.01471875
transcript.pyannote[1375].speaker SPEAKER_02
transcript.pyannote[1375].start 23270.50409375
transcript.pyannote[1375].end 23279.44784375
transcript.pyannote[1376].speaker SPEAKER_02
transcript.pyannote[1376].start 23279.65034375
transcript.pyannote[1376].end 23290.04534375
transcript.pyannote[1377].speaker SPEAKER_02
transcript.pyannote[1377].start 23290.75409375
transcript.pyannote[1377].end 23292.84659375
transcript.pyannote[1378].speaker SPEAKER_02
transcript.pyannote[1378].start 23293.15034375
transcript.pyannote[1378].end 23294.07846875
transcript.pyannote[1379].speaker SPEAKER_02
transcript.pyannote[1379].start 23294.17971875
transcript.pyannote[1379].end 23296.57596875
transcript.pyannote[1380].speaker SPEAKER_02
transcript.pyannote[1380].start 23296.66034375
transcript.pyannote[1380].end 23307.10596875
transcript.pyannote[1381].speaker SPEAKER_02
transcript.pyannote[1381].start 23308.33784375
transcript.pyannote[1381].end 23311.86471875
transcript.pyannote[1382].speaker SPEAKER_02
transcript.pyannote[1382].start 23312.11784375
transcript.pyannote[1382].end 23314.93596875
transcript.pyannote[1383].speaker SPEAKER_02
transcript.pyannote[1383].start 23315.45909375
transcript.pyannote[1383].end 23316.74159375
transcript.pyannote[1384].speaker SPEAKER_02
transcript.pyannote[1384].start 23317.18034375
transcript.pyannote[1384].end 23319.54284375
transcript.pyannote[1385].speaker SPEAKER_02
transcript.pyannote[1385].start 23319.67784375
transcript.pyannote[1385].end 23325.16221875
transcript.pyannote[1386].speaker SPEAKER_02
transcript.pyannote[1386].start 23325.65159375
transcript.pyannote[1386].end 23327.59221875
transcript.pyannote[1387].speaker SPEAKER_02
transcript.pyannote[1387].start 23327.84534375
transcript.pyannote[1387].end 23329.36409375
transcript.pyannote[1388].speaker SPEAKER_02
transcript.pyannote[1388].start 23329.56659375
transcript.pyannote[1388].end 23330.83221875
transcript.pyannote[1389].speaker SPEAKER_02
transcript.pyannote[1389].start 23331.10221875
transcript.pyannote[1389].end 23332.80659375
transcript.pyannote[1390].speaker SPEAKER_02
transcript.pyannote[1390].start 23333.70096875
transcript.pyannote[1390].end 23338.54409375
transcript.pyannote[1391].speaker SPEAKER_02
transcript.pyannote[1391].start 23338.74659375
transcript.pyannote[1391].end 23339.92784375
transcript.pyannote[1392].speaker SPEAKER_02
transcript.pyannote[1392].start 23340.36659375
transcript.pyannote[1392].end 23342.94846875
transcript.pyannote[1393].speaker SPEAKER_02
transcript.pyannote[1393].start 23343.26909375
transcript.pyannote[1393].end 23343.79221875
transcript.pyannote[1394].speaker SPEAKER_02
transcript.pyannote[1394].start 23344.07909375
transcript.pyannote[1394].end 23345.81721875
transcript.pyannote[1395].speaker SPEAKER_02
transcript.pyannote[1395].start 23345.93534375
transcript.pyannote[1395].end 23349.14159375
transcript.pyannote[1396].speaker SPEAKER_02
transcript.pyannote[1396].start 23349.31034375
transcript.pyannote[1396].end 23355.35159375
transcript.pyannote[1397].speaker SPEAKER_02
transcript.pyannote[1397].start 23356.14471875
transcript.pyannote[1397].end 23359.62096875
transcript.pyannote[1398].speaker SPEAKER_02
transcript.pyannote[1398].start 23360.32971875
transcript.pyannote[1398].end 23363.13096875
transcript.pyannote[1399].speaker SPEAKER_02
transcript.pyannote[1399].start 23363.62034375
transcript.pyannote[1399].end 23366.89409375
transcript.pyannote[1400].speaker SPEAKER_02
transcript.pyannote[1400].start 23367.06284375
transcript.pyannote[1400].end 23368.26096875
transcript.pyannote[1401].speaker SPEAKER_02
transcript.pyannote[1401].start 23368.76721875
transcript.pyannote[1401].end 23369.59409375
transcript.pyannote[1402].speaker SPEAKER_02
transcript.pyannote[1402].start 23369.86409375
transcript.pyannote[1402].end 23374.26846875
transcript.pyannote[1403].speaker SPEAKER_02
transcript.pyannote[1403].start 23374.65659375
transcript.pyannote[1403].end 23404.45784375
transcript.pyannote[1404].speaker SPEAKER_02
transcript.pyannote[1404].start 23404.71096875
transcript.pyannote[1404].end 23405.87534375
transcript.pyannote[1405].speaker SPEAKER_02
transcript.pyannote[1405].start 23406.29721875
transcript.pyannote[1405].end 23408.22096875
transcript.pyannote[1406].speaker SPEAKER_02
transcript.pyannote[1406].start 23408.62596875
transcript.pyannote[1406].end 23410.34721875
transcript.pyannote[1407].speaker SPEAKER_02
transcript.pyannote[1407].start 23411.35971875
transcript.pyannote[1407].end 23412.76034375
transcript.pyannote[1408].speaker SPEAKER_02
transcript.pyannote[1408].start 23412.82784375
transcript.pyannote[1408].end 23413.72221875
transcript.pyannote[1409].speaker SPEAKER_02
transcript.pyannote[1409].start 23414.58284375
transcript.pyannote[1409].end 23419.45971875
transcript.pyannote[1410].speaker SPEAKER_02
transcript.pyannote[1410].start 23419.61159375
transcript.pyannote[1410].end 23419.91534375
transcript.pyannote[1411].speaker SPEAKER_02
transcript.pyannote[1411].start 23420.20221875
transcript.pyannote[1411].end 23422.75034375
transcript.pyannote[1412].speaker SPEAKER_02
transcript.pyannote[1412].start 23422.96971875
transcript.pyannote[1412].end 23424.92721875
transcript.pyannote[1413].speaker SPEAKER_22
transcript.pyannote[1413].start 23425.87221875
transcript.pyannote[1413].end 23426.17596875
transcript.pyannote[1414].speaker SPEAKER_22
transcript.pyannote[1414].start 23426.78346875
transcript.pyannote[1414].end 23427.35721875
transcript.pyannote[1415].speaker SPEAKER_02
transcript.pyannote[1415].start 23426.98596875
transcript.pyannote[1415].end 23427.52596875
transcript.pyannote[1416].speaker SPEAKER_22
transcript.pyannote[1416].start 23427.64409375
transcript.pyannote[1416].end 23427.84659375
transcript.pyannote[1417].speaker SPEAKER_02
transcript.pyannote[1417].start 23428.03221875
transcript.pyannote[1417].end 23429.56784375
transcript.pyannote[1418].speaker SPEAKER_02
transcript.pyannote[1418].start 23429.68596875
transcript.pyannote[1418].end 23430.12471875
transcript.pyannote[1419].speaker SPEAKER_22
transcript.pyannote[1419].start 23430.71534375
transcript.pyannote[1419].end 23431.54221875
transcript.pyannote[1420].speaker SPEAKER_22
transcript.pyannote[1420].start 23431.59284375
transcript.pyannote[1420].end 23431.87971875
transcript.pyannote[1421].speaker SPEAKER_22
transcript.pyannote[1421].start 23432.08221875
transcript.pyannote[1421].end 23432.33534375
transcript.pyannote[1422].speaker SPEAKER_22
transcript.pyannote[1422].start 23433.06096875
transcript.pyannote[1422].end 23434.02284375
transcript.pyannote[1423].speaker SPEAKER_02
transcript.pyannote[1423].start 23434.02284375
transcript.pyannote[1423].end 23434.32659375
transcript.pyannote[1424].speaker SPEAKER_22
transcript.pyannote[1424].start 23434.32659375
transcript.pyannote[1424].end 23434.37721875
transcript.pyannote[1425].speaker SPEAKER_02
transcript.pyannote[1425].start 23434.37721875
transcript.pyannote[1425].end 23436.16596875
transcript.pyannote[1426].speaker SPEAKER_21
transcript.pyannote[1426].start 23436.89159375
transcript.pyannote[1426].end 23437.17846875
transcript.pyannote[1427].speaker SPEAKER_02
transcript.pyannote[1427].start 23438.07284375
transcript.pyannote[1427].end 23439.43971875
transcript.pyannote[1428].speaker SPEAKER_02
transcript.pyannote[1428].start 23439.89534375
transcript.pyannote[1428].end 23456.24721875
transcript.pyannote[1429].speaker SPEAKER_22
transcript.pyannote[1429].start 23457.74909375
transcript.pyannote[1429].end 23463.40221875
transcript.pyannote[1430].speaker SPEAKER_02
transcript.pyannote[1430].start 23462.55846875
transcript.pyannote[1430].end 23474.53971875
transcript.pyannote[1431].speaker SPEAKER_02
transcript.pyannote[1431].start 23475.21471875
transcript.pyannote[1431].end 23484.24284375
transcript.pyannote[1432].speaker SPEAKER_02
transcript.pyannote[1432].start 23484.44534375
transcript.pyannote[1432].end 23487.92159375
transcript.pyannote[1433].speaker SPEAKER_02
transcript.pyannote[1433].start 23488.27596875
transcript.pyannote[1433].end 23494.40159375
transcript.pyannote[1434].speaker SPEAKER_02
transcript.pyannote[1434].start 23494.58721875
transcript.pyannote[1434].end 23496.30846875
transcript.pyannote[1435].speaker SPEAKER_02
transcript.pyannote[1435].start 23496.94971875
transcript.pyannote[1435].end 23540.13284375
transcript.pyannote[1436].speaker SPEAKER_29
transcript.pyannote[1436].start 23538.54659375
transcript.pyannote[1436].end 23549.02596875
transcript.pyannote[1437].speaker SPEAKER_02
transcript.pyannote[1437].start 23541.85409375
transcript.pyannote[1437].end 23542.22534375
transcript.pyannote[1438].speaker SPEAKER_29
transcript.pyannote[1438].start 23549.16096875
transcript.pyannote[1438].end 23549.97096875
transcript.pyannote[1439].speaker SPEAKER_30
transcript.pyannote[1439].start 23554.49346875
transcript.pyannote[1439].end 23554.94909375
transcript.pyannote[1440].speaker SPEAKER_30
transcript.pyannote[1440].start 23557.02471875
transcript.pyannote[1440].end 23558.18909375
transcript.pyannote[1441].speaker SPEAKER_30
transcript.pyannote[1441].start 23559.03284375
transcript.pyannote[1441].end 23559.85971875
transcript.pyannote[1442].speaker SPEAKER_30
transcript.pyannote[1442].start 23561.04096875
transcript.pyannote[1442].end 23570.40659375
transcript.pyannote[1443].speaker SPEAKER_30
transcript.pyannote[1443].start 23572.87034375
transcript.pyannote[1443].end 23575.30034375
transcript.pyannote[1444].speaker SPEAKER_32
transcript.pyannote[1444].start 23582.43846875
transcript.pyannote[1444].end 23585.67846875
transcript.pyannote[1445].speaker SPEAKER_32
transcript.pyannote[1445].start 23586.03284375
transcript.pyannote[1445].end 23589.59346875
transcript.pyannote[1446].speaker SPEAKER_30
transcript.pyannote[1446].start 23590.18409375
transcript.pyannote[1446].end 23592.05721875
transcript.pyannote[1447].speaker SPEAKER_32
transcript.pyannote[1447].start 23599.27971875
transcript.pyannote[1447].end 23599.31346875
transcript.pyannote[1448].speaker SPEAKER_22
transcript.pyannote[1448].start 23599.31346875
transcript.pyannote[1448].end 23599.39784375
transcript.pyannote[1449].speaker SPEAKER_32
transcript.pyannote[1449].start 23599.39784375
transcript.pyannote[1449].end 23599.41471875
transcript.pyannote[1450].speaker SPEAKER_22
transcript.pyannote[1450].start 23599.41471875
transcript.pyannote[1450].end 23599.80284375
transcript.pyannote[1451].speaker SPEAKER_32
transcript.pyannote[1451].start 23599.80284375
transcript.pyannote[1451].end 23599.92096875
transcript.pyannote[1452].speaker SPEAKER_32
transcript.pyannote[1452].start 23599.98846875
transcript.pyannote[1452].end 23602.30034375
transcript.pyannote[1453].speaker SPEAKER_22
transcript.pyannote[1453].start 23601.23721875
transcript.pyannote[1453].end 23601.49034375
transcript.pyannote[1454].speaker SPEAKER_32
transcript.pyannote[1454].start 23602.43534375
transcript.pyannote[1454].end 23604.03846875
transcript.pyannote[1455].speaker SPEAKER_32
transcript.pyannote[1455].start 23604.17346875
transcript.pyannote[1455].end 23606.13096875
transcript.pyannote[1456].speaker SPEAKER_32
transcript.pyannote[1456].start 23606.46846875
transcript.pyannote[1456].end 23608.84784375
transcript.pyannote[1457].speaker SPEAKER_32
transcript.pyannote[1457].start 23609.15159375
transcript.pyannote[1457].end 23610.72096875
transcript.pyannote[1458].speaker SPEAKER_32
transcript.pyannote[1458].start 23611.00784375
transcript.pyannote[1458].end 23614.23096875
transcript.pyannote[1459].speaker SPEAKER_32
transcript.pyannote[1459].start 23614.50096875
transcript.pyannote[1459].end 23616.52596875
transcript.pyannote[1460].speaker SPEAKER_32
transcript.pyannote[1460].start 23616.82971875
transcript.pyannote[1460].end 23620.60971875
transcript.pyannote[1461].speaker SPEAKER_32
transcript.pyannote[1461].start 23620.77846875
transcript.pyannote[1461].end 23621.53784375
transcript.pyannote[1462].speaker SPEAKER_32
transcript.pyannote[1462].start 23621.89221875
transcript.pyannote[1462].end 23623.63034375
transcript.pyannote[1463].speaker SPEAKER_32
transcript.pyannote[1463].start 23624.10284375
transcript.pyannote[1463].end 23626.63409375
transcript.pyannote[1464].speaker SPEAKER_29
transcript.pyannote[1464].start 23626.66784375
transcript.pyannote[1464].end 23626.68471875
transcript.pyannote[1465].speaker SPEAKER_32
transcript.pyannote[1465].start 23626.68471875
transcript.pyannote[1465].end 23627.86596875
transcript.pyannote[1466].speaker SPEAKER_29
transcript.pyannote[1466].start 23626.98846875
transcript.pyannote[1466].end 23627.69721875
transcript.pyannote[1467].speaker SPEAKER_32
transcript.pyannote[1467].start 23628.35534375
transcript.pyannote[1467].end 23628.59159375
transcript.pyannote[1468].speaker SPEAKER_32
transcript.pyannote[1468].start 23629.62096875
transcript.pyannote[1468].end 23630.41409375
transcript.pyannote[1469].speaker SPEAKER_32
transcript.pyannote[1469].start 23631.29159375
transcript.pyannote[1469].end 23634.51471875
transcript.pyannote[1470].speaker SPEAKER_00
transcript.pyannote[1470].start 23631.57846875
transcript.pyannote[1470].end 23631.71346875
transcript.pyannote[1471].speaker SPEAKER_32
transcript.pyannote[1471].start 23635.00409375
transcript.pyannote[1471].end 23636.30346875
transcript.pyannote[1472].speaker SPEAKER_32
transcript.pyannote[1472].start 23636.55659375
transcript.pyannote[1472].end 23637.70409375
transcript.pyannote[1473].speaker SPEAKER_32
transcript.pyannote[1473].start 23638.24409375
transcript.pyannote[1473].end 23642.31096875
transcript.pyannote[1474].speaker SPEAKER_29
transcript.pyannote[1474].start 23644.26846875
transcript.pyannote[1474].end 23644.75784375
transcript.pyannote[1475].speaker SPEAKER_29
transcript.pyannote[1475].start 23646.54659375
transcript.pyannote[1475].end 23648.67284375
transcript.pyannote[1476].speaker SPEAKER_32
transcript.pyannote[1476].start 23646.68159375
transcript.pyannote[1476].end 23648.52096875
transcript.pyannote[1477].speaker SPEAKER_29
transcript.pyannote[1477].start 23649.16221875
transcript.pyannote[1477].end 23650.95096875
transcript.pyannote[1478].speaker SPEAKER_29
transcript.pyannote[1478].start 23651.15346875
transcript.pyannote[1478].end 23651.54159375
transcript.pyannote[1479].speaker SPEAKER_32
transcript.pyannote[1479].start 23651.33909375
transcript.pyannote[1479].end 23651.77784375
transcript.pyannote[1480].speaker SPEAKER_32
transcript.pyannote[1480].start 23651.79471875
transcript.pyannote[1480].end 23662.05471875
transcript.pyannote[1481].speaker SPEAKER_29
transcript.pyannote[1481].start 23651.96346875
transcript.pyannote[1481].end 23653.09409375
transcript.pyannote[1482].speaker SPEAKER_32
transcript.pyannote[1482].start 23662.25721875
transcript.pyannote[1482].end 23671.28534375
transcript.pyannote[1483].speaker SPEAKER_32
transcript.pyannote[1483].start 23671.77471875
transcript.pyannote[1483].end 23674.35659375
transcript.pyannote[1484].speaker SPEAKER_32
transcript.pyannote[1484].start 23674.66034375
transcript.pyannote[1484].end 23681.30909375
transcript.pyannote[1485].speaker SPEAKER_32
transcript.pyannote[1485].start 23681.66346875
transcript.pyannote[1485].end 23687.50221875
transcript.pyannote[1486].speaker SPEAKER_32
transcript.pyannote[1486].start 23687.67096875
transcript.pyannote[1486].end 23690.55659375
transcript.pyannote[1487].speaker SPEAKER_32
transcript.pyannote[1487].start 23690.80971875
transcript.pyannote[1487].end 23693.66159375
transcript.pyannote[1488].speaker SPEAKER_32
transcript.pyannote[1488].start 23694.06659375
transcript.pyannote[1488].end 23695.02846875
transcript.pyannote[1489].speaker SPEAKER_32
transcript.pyannote[1489].start 23695.31534375
transcript.pyannote[1489].end 23697.66096875
transcript.pyannote[1490].speaker SPEAKER_32
transcript.pyannote[1490].start 23698.23471875
transcript.pyannote[1490].end 23702.65596875
transcript.pyannote[1491].speaker SPEAKER_32
transcript.pyannote[1491].start 23703.02721875
transcript.pyannote[1491].end 23705.79471875
transcript.pyannote[1492].speaker SPEAKER_32
transcript.pyannote[1492].start 23706.38534375
transcript.pyannote[1492].end 23709.08534375
transcript.pyannote[1493].speaker SPEAKER_32
transcript.pyannote[1493].start 23709.45659375
transcript.pyannote[1493].end 23710.51971875
transcript.pyannote[1494].speaker SPEAKER_32
transcript.pyannote[1494].start 23710.68846875
transcript.pyannote[1494].end 23717.37096875
transcript.pyannote[1495].speaker SPEAKER_32
transcript.pyannote[1495].start 23717.86034375
transcript.pyannote[1495].end 23719.34534375
transcript.pyannote[1496].speaker SPEAKER_32
transcript.pyannote[1496].start 23719.78409375
transcript.pyannote[1496].end 23722.11284375
transcript.pyannote[1497].speaker SPEAKER_32
transcript.pyannote[1497].start 23722.93971875
transcript.pyannote[1497].end 23734.09409375
transcript.pyannote[1498].speaker SPEAKER_32
transcript.pyannote[1498].start 23734.21221875
transcript.pyannote[1498].end 23739.39284375
transcript.pyannote[1499].speaker SPEAKER_32
transcript.pyannote[1499].start 23739.64596875
transcript.pyannote[1499].end 23741.08034375
transcript.pyannote[1500].speaker SPEAKER_32
transcript.pyannote[1500].start 23741.62034375
transcript.pyannote[1500].end 23742.97034375
transcript.pyannote[1501].speaker SPEAKER_32
transcript.pyannote[1501].start 23743.40909375
transcript.pyannote[1501].end 23748.21846875
transcript.pyannote[1502].speaker SPEAKER_32
transcript.pyannote[1502].start 23748.57284375
transcript.pyannote[1502].end 23749.75409375
transcript.pyannote[1503].speaker SPEAKER_32
transcript.pyannote[1503].start 23750.04096875
transcript.pyannote[1503].end 23751.47534375
transcript.pyannote[1504].speaker SPEAKER_32
transcript.pyannote[1504].start 23752.06596875
transcript.pyannote[1504].end 23757.17909375
transcript.pyannote[1505].speaker SPEAKER_32
transcript.pyannote[1505].start 23757.44909375
transcript.pyannote[1505].end 23761.26284375
transcript.pyannote[1506].speaker SPEAKER_32
transcript.pyannote[1506].start 23761.53284375
transcript.pyannote[1506].end 23765.27909375
transcript.pyannote[1507].speaker SPEAKER_32
transcript.pyannote[1507].start 23765.71784375
transcript.pyannote[1507].end 23768.53596875
transcript.pyannote[1508].speaker SPEAKER_29
transcript.pyannote[1508].start 23769.17721875
transcript.pyannote[1508].end 23817.65909375
transcript.pyannote[1509].speaker SPEAKER_32
transcript.pyannote[1509].start 23819.53221875
transcript.pyannote[1509].end 23822.65409375
transcript.pyannote[1510].speaker SPEAKER_32
transcript.pyannote[1510].start 23823.05909375
transcript.pyannote[1510].end 23825.91096875
transcript.pyannote[1511].speaker SPEAKER_32
transcript.pyannote[1511].start 23826.21471875
transcript.pyannote[1511].end 23828.45909375
transcript.pyannote[1512].speaker SPEAKER_32
transcript.pyannote[1512].start 23828.67846875
transcript.pyannote[1512].end 23831.29409375
transcript.pyannote[1513].speaker SPEAKER_32
transcript.pyannote[1513].start 23831.66534375
transcript.pyannote[1513].end 23833.28534375
transcript.pyannote[1514].speaker SPEAKER_32
transcript.pyannote[1514].start 23834.16284375
transcript.pyannote[1514].end 23836.06971875
transcript.pyannote[1515].speaker SPEAKER_32
transcript.pyannote[1515].start 23836.33971875
transcript.pyannote[1515].end 23837.36909375
transcript.pyannote[1516].speaker SPEAKER_32
transcript.pyannote[1516].start 23837.77409375
transcript.pyannote[1516].end 23839.09034375
transcript.pyannote[1517].speaker SPEAKER_32
transcript.pyannote[1517].start 23839.30971875
transcript.pyannote[1517].end 23842.76909375
transcript.pyannote[1518].speaker SPEAKER_32
transcript.pyannote[1518].start 23843.19096875
transcript.pyannote[1518].end 23843.52846875
transcript.pyannote[1519].speaker SPEAKER_32
transcript.pyannote[1519].start 23844.33846875
transcript.pyannote[1519].end 23845.24971875
transcript.pyannote[1520].speaker SPEAKER_32
transcript.pyannote[1520].start 23846.22846875
transcript.pyannote[1520].end 23847.83159375
transcript.pyannote[1521].speaker SPEAKER_32
transcript.pyannote[1521].start 23848.03409375
transcript.pyannote[1521].end 23851.59471875
transcript.pyannote[1522].speaker SPEAKER_32
transcript.pyannote[1522].start 23852.03346875
transcript.pyannote[1522].end 23852.94471875
transcript.pyannote[1523].speaker SPEAKER_32
transcript.pyannote[1523].start 23853.13034375
transcript.pyannote[1523].end 23855.32409375
transcript.pyannote[1524].speaker SPEAKER_32
transcript.pyannote[1524].start 23855.69534375
transcript.pyannote[1524].end 23878.13909375
transcript.pyannote[1525].speaker SPEAKER_32
transcript.pyannote[1525].start 23878.44284375
transcript.pyannote[1525].end 23884.48409375
transcript.pyannote[1526].speaker SPEAKER_32
transcript.pyannote[1526].start 23884.78784375
transcript.pyannote[1526].end 23887.06596875
transcript.pyannote[1527].speaker SPEAKER_32
transcript.pyannote[1527].start 23887.63971875
transcript.pyannote[1527].end 23896.06034375
transcript.pyannote[1528].speaker SPEAKER_29
transcript.pyannote[1528].start 23891.85846875
transcript.pyannote[1528].end 23892.95534375
transcript.pyannote[1529].speaker SPEAKER_29
transcript.pyannote[1529].start 23895.73971875
transcript.pyannote[1529].end 23895.89159375
transcript.pyannote[1530].speaker SPEAKER_29
transcript.pyannote[1530].start 23896.06034375
transcript.pyannote[1530].end 23896.16159375
transcript.pyannote[1531].speaker SPEAKER_32
transcript.pyannote[1531].start 23896.16159375
transcript.pyannote[1531].end 23903.23221875
transcript.pyannote[1532].speaker SPEAKER_29
transcript.pyannote[1532].start 23896.54971875
transcript.pyannote[1532].end 23896.56659375
transcript.pyannote[1533].speaker SPEAKER_29
transcript.pyannote[1533].start 23897.14034375
transcript.pyannote[1533].end 23897.52846875
transcript.pyannote[1534].speaker SPEAKER_29
transcript.pyannote[1534].start 23901.47721875
transcript.pyannote[1534].end 23911.24784375
transcript.pyannote[1535].speaker SPEAKER_29
transcript.pyannote[1535].start 23911.43346875
transcript.pyannote[1535].end 23914.89284375
transcript.pyannote[1536].speaker SPEAKER_29
transcript.pyannote[1536].start 23914.96034375
transcript.pyannote[1536].end 23918.94284375
transcript.pyannote[1537].speaker SPEAKER_32
transcript.pyannote[1537].start 23920.54596875
transcript.pyannote[1537].end 23939.24346875
transcript.pyannote[1538].speaker SPEAKER_32
transcript.pyannote[1538].start 23939.37846875
transcript.pyannote[1538].end 23943.63096875
transcript.pyannote[1539].speaker SPEAKER_29
transcript.pyannote[1539].start 23943.79971875
transcript.pyannote[1539].end 23948.03534375
transcript.pyannote[1540].speaker SPEAKER_32
transcript.pyannote[1540].start 23944.08659375
transcript.pyannote[1540].end 23950.46534375
transcript.pyannote[1541].speaker SPEAKER_22
transcript.pyannote[1541].start 23948.03534375
transcript.pyannote[1541].end 23951.54534375
transcript.pyannote[1542].speaker SPEAKER_29
transcript.pyannote[1542].start 23950.46534375
transcript.pyannote[1542].end 23950.88721875
transcript.pyannote[1543].speaker SPEAKER_22
transcript.pyannote[1543].start 23952.05159375
transcript.pyannote[1543].end 23960.59034375
transcript.pyannote[1544].speaker SPEAKER_32
transcript.pyannote[1544].start 23959.94909375
transcript.pyannote[1544].end 23963.05409375
transcript.pyannote[1545].speaker SPEAKER_22
transcript.pyannote[1545].start 23961.02909375
transcript.pyannote[1545].end 23967.00284375
transcript.pyannote[1546].speaker SPEAKER_32
transcript.pyannote[1546].start 23967.54284375
transcript.pyannote[1546].end 23971.94721875
transcript.pyannote[1547].speaker SPEAKER_22
transcript.pyannote[1547].start 23969.14596875
transcript.pyannote[1547].end 23969.83784375
transcript.pyannote[1548].speaker SPEAKER_22
transcript.pyannote[1548].start 23970.34409375
transcript.pyannote[1548].end 23977.14471875
transcript.pyannote[1549].speaker SPEAKER_32
transcript.pyannote[1549].start 23973.09471875
transcript.pyannote[1549].end 23990.84721875
transcript.pyannote[1550].speaker SPEAKER_21
transcript.pyannote[1550].start 23977.14471875
transcript.pyannote[1550].end 23977.16159375
transcript.pyannote[1551].speaker SPEAKER_25
transcript.pyannote[1551].start 23988.73784375
transcript.pyannote[1551].end 23991.18471875
transcript.pyannote[1552].speaker SPEAKER_32
transcript.pyannote[1552].start 23991.06659375
transcript.pyannote[1552].end 23993.34471875
transcript.pyannote[1553].speaker SPEAKER_32
transcript.pyannote[1553].start 23993.81721875
transcript.pyannote[1553].end 24005.64659375
transcript.pyannote[1554].speaker SPEAKER_32
transcript.pyannote[1554].start 24005.96721875
transcript.pyannote[1554].end 24006.77721875
transcript.pyannote[1555].speaker SPEAKER_32
transcript.pyannote[1555].start 24007.03034375
transcript.pyannote[1555].end 24008.65034375
transcript.pyannote[1556].speaker SPEAKER_32
transcript.pyannote[1556].start 24008.85284375
transcript.pyannote[1556].end 24010.59096875
transcript.pyannote[1557].speaker SPEAKER_32
transcript.pyannote[1557].start 24010.72596875
transcript.pyannote[1557].end 24021.96471875
transcript.pyannote[1558].speaker SPEAKER_32
transcript.pyannote[1558].start 24022.40346875
transcript.pyannote[1558].end 24023.11221875
transcript.pyannote[1559].speaker SPEAKER_32
transcript.pyannote[1559].start 24023.46659375
transcript.pyannote[1559].end 24026.68971875
transcript.pyannote[1560].speaker SPEAKER_32
transcript.pyannote[1560].start 24026.84159375
transcript.pyannote[1560].end 24040.49346875
transcript.pyannote[1561].speaker SPEAKER_32
transcript.pyannote[1561].start 24040.78034375
transcript.pyannote[1561].end 24042.02909375
transcript.pyannote[1562].speaker SPEAKER_32
transcript.pyannote[1562].start 24042.40034375
transcript.pyannote[1562].end 24045.87659375
transcript.pyannote[1563].speaker SPEAKER_32
transcript.pyannote[1563].start 24046.68659375
transcript.pyannote[1563].end 24061.03034375
transcript.pyannote[1564].speaker SPEAKER_32
transcript.pyannote[1564].start 24061.45221875
transcript.pyannote[1564].end 24083.69346875
transcript.pyannote[1565].speaker SPEAKER_29
transcript.pyannote[1565].start 24084.75659375
transcript.pyannote[1565].end 24099.91034375
transcript.pyannote[1566].speaker SPEAKER_29
transcript.pyannote[1566].start 24100.04534375
transcript.pyannote[1566].end 24105.25971875
transcript.pyannote[1567].speaker SPEAKER_29
transcript.pyannote[1567].start 24105.36096875
transcript.pyannote[1567].end 24117.69659375
transcript.pyannote[1568].speaker SPEAKER_32
transcript.pyannote[1568].start 24115.63784375
transcript.pyannote[1568].end 24118.72596875
transcript.pyannote[1569].speaker SPEAKER_32
transcript.pyannote[1569].start 24118.77659375
transcript.pyannote[1569].end 24121.15596875
transcript.pyannote[1570].speaker SPEAKER_29
transcript.pyannote[1570].start 24120.31221875
transcript.pyannote[1570].end 24123.04596875
transcript.pyannote[1571].speaker SPEAKER_32
transcript.pyannote[1571].start 24123.04596875
transcript.pyannote[1571].end 24124.93596875
transcript.pyannote[1572].speaker SPEAKER_29
transcript.pyannote[1572].start 24123.97409375
transcript.pyannote[1572].end 24134.65596875
transcript.pyannote[1573].speaker SPEAKER_32
transcript.pyannote[1573].start 24135.12846875
transcript.pyannote[1573].end 24144.15659375
transcript.pyannote[1574].speaker SPEAKER_32
transcript.pyannote[1574].start 24144.34221875
transcript.pyannote[1574].end 24146.19846875
transcript.pyannote[1575].speaker SPEAKER_32
transcript.pyannote[1575].start 24146.62034375
transcript.pyannote[1575].end 24151.05846875
transcript.pyannote[1576].speaker SPEAKER_32
transcript.pyannote[1576].start 24151.17659375
transcript.pyannote[1576].end 24153.82596875
transcript.pyannote[1577].speaker SPEAKER_32
transcript.pyannote[1577].start 24154.16346875
transcript.pyannote[1577].end 24167.96721875
transcript.pyannote[1578].speaker SPEAKER_32
transcript.pyannote[1578].start 24168.28784375
transcript.pyannote[1578].end 24187.66034375
transcript.pyannote[1579].speaker SPEAKER_32
transcript.pyannote[1579].start 24187.91346875
transcript.pyannote[1579].end 24189.12846875
transcript.pyannote[1580].speaker SPEAKER_32
transcript.pyannote[1580].start 24191.10284375
transcript.pyannote[1580].end 24200.67096875
transcript.pyannote[1581].speaker SPEAKER_32
transcript.pyannote[1581].start 24200.78909375
transcript.pyannote[1581].end 24208.53471875
transcript.pyannote[1582].speaker SPEAKER_32
transcript.pyannote[1582].start 24208.85534375
transcript.pyannote[1582].end 24212.04471875
transcript.pyannote[1583].speaker SPEAKER_29
transcript.pyannote[1583].start 24212.60159375
transcript.pyannote[1583].end 24217.86659375
transcript.pyannote[1584].speaker SPEAKER_29
transcript.pyannote[1584].start 24218.01846875
transcript.pyannote[1584].end 24221.86596875
transcript.pyannote[1585].speaker SPEAKER_32
transcript.pyannote[1585].start 24223.04721875
transcript.pyannote[1585].end 24224.00909375
transcript.pyannote[1586].speaker SPEAKER_32
transcript.pyannote[1586].start 24224.61659375
transcript.pyannote[1586].end 24229.08846875
transcript.pyannote[1587].speaker SPEAKER_32
transcript.pyannote[1587].start 24229.29096875
transcript.pyannote[1587].end 24233.99909375
transcript.pyannote[1588].speaker SPEAKER_32
transcript.pyannote[1588].start 24234.42096875
transcript.pyannote[1588].end 24237.07034375
transcript.pyannote[1589].speaker SPEAKER_32
transcript.pyannote[1589].start 24237.49221875
transcript.pyannote[1589].end 24242.53784375
transcript.pyannote[1590].speaker SPEAKER_32
transcript.pyannote[1590].start 24242.85846875
transcript.pyannote[1590].end 24246.63846875
transcript.pyannote[1591].speaker SPEAKER_32
transcript.pyannote[1591].start 24246.95909375
transcript.pyannote[1591].end 24250.14846875
transcript.pyannote[1592].speaker SPEAKER_32
transcript.pyannote[1592].start 24250.68846875
transcript.pyannote[1592].end 24254.13096875
transcript.pyannote[1593].speaker SPEAKER_32
transcript.pyannote[1593].start 24254.18159375
transcript.pyannote[1593].end 24256.72971875
transcript.pyannote[1594].speaker SPEAKER_32
transcript.pyannote[1594].start 24257.20221875
transcript.pyannote[1594].end 24272.99721875
transcript.pyannote[1595].speaker SPEAKER_32
transcript.pyannote[1595].start 24273.23346875
transcript.pyannote[1595].end 24279.07221875
transcript.pyannote[1596].speaker SPEAKER_32
transcript.pyannote[1596].start 24279.42659375
transcript.pyannote[1596].end 24291.52596875
transcript.pyannote[1597].speaker SPEAKER_32
transcript.pyannote[1597].start 24292.03221875
transcript.pyannote[1597].end 24297.01034375
transcript.pyannote[1598].speaker SPEAKER_32
transcript.pyannote[1598].start 24297.39846875
transcript.pyannote[1598].end 24298.51221875
transcript.pyannote[1599].speaker SPEAKER_32
transcript.pyannote[1599].start 24298.69784375
transcript.pyannote[1599].end 24322.22159375
transcript.pyannote[1600].speaker SPEAKER_32
transcript.pyannote[1600].start 24322.76159375
transcript.pyannote[1600].end 24335.40096875
transcript.pyannote[1601].speaker SPEAKER_32
transcript.pyannote[1601].start 24335.72159375
transcript.pyannote[1601].end 24348.71534375
transcript.pyannote[1602].speaker SPEAKER_32
transcript.pyannote[1602].start 24349.18784375
transcript.pyannote[1602].end 24354.21659375
transcript.pyannote[1603].speaker SPEAKER_32
transcript.pyannote[1603].start 24354.45284375
transcript.pyannote[1603].end 24357.00096875
transcript.pyannote[1604].speaker SPEAKER_32
transcript.pyannote[1604].start 24357.42284375
transcript.pyannote[1604].end 24358.09784375
transcript.pyannote[1605].speaker SPEAKER_32
transcript.pyannote[1605].start 24358.35096875
transcript.pyannote[1605].end 24364.69596875
transcript.pyannote[1606].speaker SPEAKER_32
transcript.pyannote[1606].start 24364.98284375
transcript.pyannote[1606].end 24367.02471875
transcript.pyannote[1607].speaker SPEAKER_32
transcript.pyannote[1607].start 24367.12596875
transcript.pyannote[1607].end 24368.03721875
transcript.pyannote[1608].speaker SPEAKER_32
transcript.pyannote[1608].start 24368.91471875
transcript.pyannote[1608].end 24369.43784375
transcript.pyannote[1609].speaker SPEAKER_32
transcript.pyannote[1609].start 24369.75846875
transcript.pyannote[1609].end 24370.58534375
transcript.pyannote[1610].speaker SPEAKER_32
transcript.pyannote[1610].start 24371.91846875
transcript.pyannote[1610].end 24371.95221875
transcript.pyannote[1611].speaker SPEAKER_29
transcript.pyannote[1611].start 24371.95221875
transcript.pyannote[1611].end 24372.76221875
transcript.pyannote[1612].speaker SPEAKER_29
transcript.pyannote[1612].start 24373.40346875
transcript.pyannote[1612].end 24388.92846875
transcript.pyannote[1613].speaker SPEAKER_32
transcript.pyannote[1613].start 24389.31659375
transcript.pyannote[1613].end 24393.01221875
transcript.pyannote[1614].speaker SPEAKER_32
transcript.pyannote[1614].start 24393.24846875
transcript.pyannote[1614].end 24401.34846875
transcript.pyannote[1615].speaker SPEAKER_32
transcript.pyannote[1615].start 24401.66909375
transcript.pyannote[1615].end 24404.01471875
transcript.pyannote[1616].speaker SPEAKER_32
transcript.pyannote[1616].start 24404.41971875
transcript.pyannote[1616].end 24405.65159375
transcript.pyannote[1617].speaker SPEAKER_32
transcript.pyannote[1617].start 24406.68096875
transcript.pyannote[1617].end 24427.80846875
transcript.pyannote[1618].speaker SPEAKER_32
transcript.pyannote[1618].start 24428.44971875
transcript.pyannote[1618].end 24435.87471875
transcript.pyannote[1619].speaker SPEAKER_32
transcript.pyannote[1619].start 24436.07721875
transcript.pyannote[1619].end 24436.80284375
transcript.pyannote[1620].speaker SPEAKER_32
transcript.pyannote[1620].start 24437.54534375
transcript.pyannote[1620].end 24438.15284375
transcript.pyannote[1621].speaker SPEAKER_32
transcript.pyannote[1621].start 24438.27096875
transcript.pyannote[1621].end 24464.81534375
transcript.pyannote[1622].speaker SPEAKER_32
transcript.pyannote[1622].start 24464.91659375
transcript.pyannote[1622].end 24475.96971875
transcript.pyannote[1623].speaker SPEAKER_32
transcript.pyannote[1623].start 24476.17221875
transcript.pyannote[1623].end 24476.86409375
transcript.pyannote[1624].speaker SPEAKER_32
transcript.pyannote[1624].start 24477.74159375
transcript.pyannote[1624].end 24479.90159375
transcript.pyannote[1625].speaker SPEAKER_22
transcript.pyannote[1625].start 24480.66096875
transcript.pyannote[1625].end 24480.89721875
transcript.pyannote[1626].speaker SPEAKER_22
transcript.pyannote[1626].start 24481.11659375
transcript.pyannote[1626].end 24482.06159375
transcript.pyannote[1627].speaker SPEAKER_32
transcript.pyannote[1627].start 24482.06159375
transcript.pyannote[1627].end 24489.45284375
transcript.pyannote[1628].speaker SPEAKER_22
transcript.pyannote[1628].start 24482.09534375
transcript.pyannote[1628].end 24483.96846875
transcript.pyannote[1629].speaker SPEAKER_22
transcript.pyannote[1629].start 24487.37721875
transcript.pyannote[1629].end 24488.96346875
transcript.pyannote[1630].speaker SPEAKER_25
transcript.pyannote[1630].start 24488.96346875
transcript.pyannote[1630].end 24490.54971875
transcript.pyannote[1631].speaker SPEAKER_32
transcript.pyannote[1631].start 24490.02659375
transcript.pyannote[1631].end 24498.49784375
transcript.pyannote[1632].speaker SPEAKER_32
transcript.pyannote[1632].start 24498.95346875
transcript.pyannote[1632].end 24500.11784375
transcript.pyannote[1633].speaker SPEAKER_29
transcript.pyannote[1633].start 24500.75909375
transcript.pyannote[1633].end 24503.22284375
transcript.pyannote[1634].speaker SPEAKER_30
transcript.pyannote[1634].start 24511.87971875
transcript.pyannote[1634].end 24513.44909375
transcript.pyannote[1635].speaker SPEAKER_30
transcript.pyannote[1635].start 24514.20846875
transcript.pyannote[1635].end 24521.04284375
transcript.pyannote[1636].speaker SPEAKER_30
transcript.pyannote[1636].start 24521.24534375
transcript.pyannote[1636].end 24531.04971875
transcript.pyannote[1637].speaker SPEAKER_30
transcript.pyannote[1637].start 24531.45471875
transcript.pyannote[1637].end 24532.68659375
transcript.pyannote[1638].speaker SPEAKER_30
transcript.pyannote[1638].start 24532.78784375
transcript.pyannote[1638].end 24539.84159375
transcript.pyannote[1639].speaker SPEAKER_30
transcript.pyannote[1639].start 24540.55034375
transcript.pyannote[1639].end 24542.38971875
transcript.pyannote[1640].speaker SPEAKER_30
transcript.pyannote[1640].start 24542.98034375
transcript.pyannote[1640].end 24545.19096875
transcript.pyannote[1641].speaker SPEAKER_17
transcript.pyannote[1641].start 24557.59409375
transcript.pyannote[1641].end 24563.28096875
transcript.pyannote[1642].speaker SPEAKER_17
transcript.pyannote[1642].start 24563.92221875
transcript.pyannote[1642].end 24565.69409375
transcript.pyannote[1643].speaker SPEAKER_30
transcript.pyannote[1643].start 24565.96409375
transcript.pyannote[1643].end 24569.49096875
transcript.pyannote[1644].speaker SPEAKER_21
transcript.pyannote[1644].start 24573.96284375
transcript.pyannote[1644].end 24574.60409375
transcript.pyannote[1645].speaker SPEAKER_17
transcript.pyannote[1645].start 24575.29596875
transcript.pyannote[1645].end 24576.13971875
transcript.pyannote[1646].speaker SPEAKER_17
transcript.pyannote[1646].start 24579.73409375
transcript.pyannote[1646].end 24611.02034375
transcript.pyannote[1647].speaker SPEAKER_31
transcript.pyannote[1647].start 24611.98221875
transcript.pyannote[1647].end 24614.36159375
transcript.pyannote[1648].speaker SPEAKER_31
transcript.pyannote[1648].start 24615.69471875
transcript.pyannote[1648].end 24619.23846875
transcript.pyannote[1649].speaker SPEAKER_31
transcript.pyannote[1649].start 24619.62659375
transcript.pyannote[1649].end 24623.05221875
transcript.pyannote[1650].speaker SPEAKER_31
transcript.pyannote[1650].start 24623.86221875
transcript.pyannote[1650].end 24627.20346875
transcript.pyannote[1651].speaker SPEAKER_00
transcript.pyannote[1651].start 24626.41034375
transcript.pyannote[1651].end 24626.73096875
transcript.pyannote[1652].speaker SPEAKER_31
transcript.pyannote[1652].start 24627.84471875
transcript.pyannote[1652].end 24629.05971875
transcript.pyannote[1653].speaker SPEAKER_31
transcript.pyannote[1653].start 24629.49846875
transcript.pyannote[1653].end 24630.10596875
transcript.pyannote[1654].speaker SPEAKER_31
transcript.pyannote[1654].start 24630.59534375
transcript.pyannote[1654].end 24633.64971875
transcript.pyannote[1655].speaker SPEAKER_17
transcript.pyannote[1655].start 24632.99159375
transcript.pyannote[1655].end 24633.46409375
transcript.pyannote[1656].speaker SPEAKER_31
transcript.pyannote[1656].start 24633.91971875
transcript.pyannote[1656].end 24633.98721875
transcript.pyannote[1657].speaker SPEAKER_17
transcript.pyannote[1657].start 24633.98721875
transcript.pyannote[1657].end 24634.03784375
transcript.pyannote[1658].speaker SPEAKER_31
transcript.pyannote[1658].start 24634.03784375
transcript.pyannote[1658].end 24637.36221875
transcript.pyannote[1659].speaker SPEAKER_17
transcript.pyannote[1659].start 24634.83096875
transcript.pyannote[1659].end 24636.34971875
transcript.pyannote[1660].speaker SPEAKER_17
transcript.pyannote[1660].start 24636.95721875
transcript.pyannote[1660].end 24637.27784375
transcript.pyannote[1661].speaker SPEAKER_31
transcript.pyannote[1661].start 24637.49721875
transcript.pyannote[1661].end 24641.88471875
transcript.pyannote[1662].speaker SPEAKER_31
transcript.pyannote[1662].start 24642.10409375
transcript.pyannote[1662].end 24647.43659375
transcript.pyannote[1663].speaker SPEAKER_31
transcript.pyannote[1663].start 24647.75721875
transcript.pyannote[1663].end 24650.64284375
transcript.pyannote[1664].speaker SPEAKER_17
transcript.pyannote[1664].start 24651.84096875
transcript.pyannote[1664].end 24654.62534375
transcript.pyannote[1665].speaker SPEAKER_17
transcript.pyannote[1665].start 24654.99659375
transcript.pyannote[1665].end 24666.40409375
transcript.pyannote[1666].speaker SPEAKER_25
transcript.pyannote[1666].start 24666.94409375
transcript.pyannote[1666].end 24667.39971875
transcript.pyannote[1667].speaker SPEAKER_17
transcript.pyannote[1667].start 24667.39971875
transcript.pyannote[1667].end 24667.60221875
transcript.pyannote[1668].speaker SPEAKER_31
transcript.pyannote[1668].start 24667.39971875
transcript.pyannote[1668].end 24671.19659375
transcript.pyannote[1669].speaker SPEAKER_17
transcript.pyannote[1669].start 24671.19659375
transcript.pyannote[1669].end 24679.16159375
transcript.pyannote[1670].speaker SPEAKER_31
transcript.pyannote[1670].start 24671.71971875
transcript.pyannote[1670].end 24672.64784375
transcript.pyannote[1671].speaker SPEAKER_17
transcript.pyannote[1671].start 24680.05596875
transcript.pyannote[1671].end 24680.73096875
transcript.pyannote[1672].speaker SPEAKER_31
transcript.pyannote[1672].start 24680.73096875
transcript.pyannote[1672].end 24685.47284375
transcript.pyannote[1673].speaker SPEAKER_17
transcript.pyannote[1673].start 24686.70471875
transcript.pyannote[1673].end 24688.07159375
transcript.pyannote[1674].speaker SPEAKER_29
transcript.pyannote[1674].start 24688.20659375
transcript.pyannote[1674].end 24692.50971875
transcript.pyannote[1675].speaker SPEAKER_17
transcript.pyannote[1675].start 24692.22284375
transcript.pyannote[1675].end 24692.34096875
transcript.pyannote[1676].speaker SPEAKER_29
transcript.pyannote[1676].start 24692.86409375
transcript.pyannote[1676].end 24694.66971875
transcript.pyannote[1677].speaker SPEAKER_17
transcript.pyannote[1677].start 24693.62346875
transcript.pyannote[1677].end 24697.01534375
transcript.pyannote[1678].speaker SPEAKER_29
transcript.pyannote[1678].start 24694.90596875
transcript.pyannote[1678].end 24695.46284375
transcript.pyannote[1679].speaker SPEAKER_17
transcript.pyannote[1679].start 24698.58471875
transcript.pyannote[1679].end 24701.74034375
transcript.pyannote[1680].speaker SPEAKER_17
transcript.pyannote[1680].start 24702.29721875
transcript.pyannote[1680].end 24723.79596875
transcript.pyannote[1681].speaker SPEAKER_11
transcript.pyannote[1681].start 24702.71909375
transcript.pyannote[1681].end 24703.56284375
transcript.pyannote[1682].speaker SPEAKER_29
transcript.pyannote[1682].start 24724.90971875
transcript.pyannote[1682].end 24738.93284375
transcript.pyannote[1683].speaker SPEAKER_17
transcript.pyannote[1683].start 24733.92096875
transcript.pyannote[1683].end 24733.95471875
transcript.pyannote[1684].speaker SPEAKER_17
transcript.pyannote[1684].start 24735.76034375
transcript.pyannote[1684].end 24735.97971875
transcript.pyannote[1685].speaker SPEAKER_17
transcript.pyannote[1685].start 24736.89096875
transcript.pyannote[1685].end 24748.53471875
transcript.pyannote[1686].speaker SPEAKER_31
transcript.pyannote[1686].start 24749.44596875
transcript.pyannote[1686].end 24757.74846875
transcript.pyannote[1687].speaker SPEAKER_17
transcript.pyannote[1687].start 24755.48721875
transcript.pyannote[1687].end 24756.09471875
transcript.pyannote[1688].speaker SPEAKER_31
transcript.pyannote[1688].start 24758.13659375
transcript.pyannote[1688].end 24758.64284375
transcript.pyannote[1689].speaker SPEAKER_31
transcript.pyannote[1689].start 24758.87909375
transcript.pyannote[1689].end 24759.97596875
transcript.pyannote[1690].speaker SPEAKER_17
transcript.pyannote[1690].start 24759.97596875
transcript.pyannote[1690].end 24762.96284375
transcript.pyannote[1691].speaker SPEAKER_31
transcript.pyannote[1691].start 24762.96284375
transcript.pyannote[1691].end 24763.01346875
transcript.pyannote[1692].speaker SPEAKER_31
transcript.pyannote[1692].start 24763.24971875
transcript.pyannote[1692].end 24763.97534375
transcript.pyannote[1693].speaker SPEAKER_17
transcript.pyannote[1693].start 24763.97534375
transcript.pyannote[1693].end 24765.44346875
transcript.pyannote[1694].speaker SPEAKER_31
transcript.pyannote[1694].start 24765.44346875
transcript.pyannote[1694].end 24765.52784375
transcript.pyannote[1695].speaker SPEAKER_17
transcript.pyannote[1695].start 24765.52784375
transcript.pyannote[1695].end 24765.56159375
transcript.pyannote[1696].speaker SPEAKER_31
transcript.pyannote[1696].start 24765.56159375
transcript.pyannote[1696].end 24766.96221875
transcript.pyannote[1697].speaker SPEAKER_29
transcript.pyannote[1697].start 24766.96221875
transcript.pyannote[1697].end 24766.99596875
transcript.pyannote[1698].speaker SPEAKER_17
transcript.pyannote[1698].start 24767.72159375
transcript.pyannote[1698].end 24770.74221875
transcript.pyannote[1699].speaker SPEAKER_29
transcript.pyannote[1699].start 24772.02471875
transcript.pyannote[1699].end 24775.06221875
transcript.pyannote[1700].speaker SPEAKER_17
transcript.pyannote[1700].start 24774.67409375
transcript.pyannote[1700].end 24777.72846875
transcript.pyannote[1701].speaker SPEAKER_29
transcript.pyannote[1701].start 24777.18846875
transcript.pyannote[1701].end 24780.29346875
transcript.pyannote[1702].speaker SPEAKER_17
transcript.pyannote[1702].start 24778.43721875
transcript.pyannote[1702].end 24780.96846875
transcript.pyannote[1703].speaker SPEAKER_17
transcript.pyannote[1703].start 24781.27221875
transcript.pyannote[1703].end 24781.84596875
transcript.pyannote[1704].speaker SPEAKER_29
transcript.pyannote[1704].start 24781.84596875
transcript.pyannote[1704].end 24782.97659375
transcript.pyannote[1705].speaker SPEAKER_17
transcript.pyannote[1705].start 24782.20034375
transcript.pyannote[1705].end 24784.05659375
transcript.pyannote[1706].speaker SPEAKER_29
transcript.pyannote[1706].start 24783.49971875
transcript.pyannote[1706].end 24785.92971875
transcript.pyannote[1707].speaker SPEAKER_17
transcript.pyannote[1707].start 24786.30096875
transcript.pyannote[1707].end 24789.89534375
transcript.pyannote[1708].speaker SPEAKER_29
transcript.pyannote[1708].start 24786.99284375
transcript.pyannote[1708].end 24788.76471875
transcript.pyannote[1709].speaker SPEAKER_29
transcript.pyannote[1709].start 24790.16534375
transcript.pyannote[1709].end 24791.21159375
transcript.pyannote[1710].speaker SPEAKER_17
transcript.pyannote[1710].start 24790.63784375
transcript.pyannote[1710].end 24794.99159375
transcript.pyannote[1711].speaker SPEAKER_25
transcript.pyannote[1711].start 24791.21159375
transcript.pyannote[1711].end 24791.44784375
transcript.pyannote[1712].speaker SPEAKER_29
transcript.pyannote[1712].start 24795.95346875
transcript.pyannote[1712].end 24797.53971875
transcript.pyannote[1713].speaker SPEAKER_17
transcript.pyannote[1713].start 24797.92784375
transcript.pyannote[1713].end 24798.60284375
transcript.pyannote[1714].speaker SPEAKER_29
transcript.pyannote[1714].start 24799.05846875
transcript.pyannote[1714].end 24801.85971875
transcript.pyannote[1715].speaker SPEAKER_17
transcript.pyannote[1715].start 24802.80471875
transcript.pyannote[1715].end 24803.37846875
transcript.pyannote[1716].speaker SPEAKER_17
transcript.pyannote[1716].start 24803.51346875
transcript.pyannote[1716].end 24804.28971875
transcript.pyannote[1717].speaker SPEAKER_17
transcript.pyannote[1717].start 24804.89721875
transcript.pyannote[1717].end 24808.08659375
transcript.pyannote[1718].speaker SPEAKER_17
transcript.pyannote[1718].start 24808.52534375
transcript.pyannote[1718].end 24813.30096875
transcript.pyannote[1719].speaker SPEAKER_17
transcript.pyannote[1719].start 24813.67221875
transcript.pyannote[1719].end 24814.61721875
transcript.pyannote[1720].speaker SPEAKER_17
transcript.pyannote[1720].start 24815.07284375
transcript.pyannote[1720].end 24816.81096875
transcript.pyannote[1721].speaker SPEAKER_17
transcript.pyannote[1721].start 24817.68846875
transcript.pyannote[1721].end 24820.37159375
transcript.pyannote[1722].speaker SPEAKER_17
transcript.pyannote[1722].start 24820.89471875
transcript.pyannote[1722].end 24823.86471875
transcript.pyannote[1723].speaker SPEAKER_17
transcript.pyannote[1723].start 24824.45534375
transcript.pyannote[1723].end 24827.39159375
transcript.pyannote[1724].speaker SPEAKER_17
transcript.pyannote[1724].start 24827.91471875
transcript.pyannote[1724].end 24828.13409375
transcript.pyannote[1725].speaker SPEAKER_17
transcript.pyannote[1725].start 24829.07909375
transcript.pyannote[1725].end 24832.18409375
transcript.pyannote[1726].speaker SPEAKER_22
transcript.pyannote[1726].start 24833.14596875
transcript.pyannote[1726].end 24833.50034375
transcript.pyannote[1727].speaker SPEAKER_22
transcript.pyannote[1727].start 24833.60159375
transcript.pyannote[1727].end 24836.03159375
transcript.pyannote[1728].speaker SPEAKER_17
transcript.pyannote[1728].start 24836.33534375
transcript.pyannote[1728].end 24836.35221875
transcript.pyannote[1729].speaker SPEAKER_22
transcript.pyannote[1729].start 24836.35221875
transcript.pyannote[1729].end 24837.82034375
transcript.pyannote[1730].speaker SPEAKER_22
transcript.pyannote[1730].start 24838.05659375
transcript.pyannote[1730].end 24840.09846875
transcript.pyannote[1731].speaker SPEAKER_22
transcript.pyannote[1731].start 24840.30096875
transcript.pyannote[1731].end 24847.01721875
transcript.pyannote[1732].speaker SPEAKER_17
transcript.pyannote[1732].start 24846.29159375
transcript.pyannote[1732].end 24849.26159375
transcript.pyannote[1733].speaker SPEAKER_17
transcript.pyannote[1733].start 24850.13909375
transcript.pyannote[1733].end 24851.67471875
transcript.pyannote[1734].speaker SPEAKER_17
transcript.pyannote[1734].start 24852.13034375
transcript.pyannote[1734].end 24852.19784375
transcript.pyannote[1735].speaker SPEAKER_21
transcript.pyannote[1735].start 24852.19784375
transcript.pyannote[1735].end 24852.34971875
transcript.pyannote[1736].speaker SPEAKER_17
transcript.pyannote[1736].start 24852.34971875
transcript.pyannote[1736].end 24854.94846875
transcript.pyannote[1737].speaker SPEAKER_21
transcript.pyannote[1737].start 24852.72096875
transcript.pyannote[1737].end 24852.99096875
transcript.pyannote[1738].speaker SPEAKER_17
transcript.pyannote[1738].start 24855.58971875
transcript.pyannote[1738].end 24861.83346875
transcript.pyannote[1739].speaker SPEAKER_17
transcript.pyannote[1739].start 24862.40721875
transcript.pyannote[1739].end 24863.92596875
transcript.pyannote[1740].speaker SPEAKER_17
transcript.pyannote[1740].start 24864.48284375
transcript.pyannote[1740].end 24869.66346875
transcript.pyannote[1741].speaker SPEAKER_17
transcript.pyannote[1741].start 24870.25409375
transcript.pyannote[1741].end 24885.07034375
transcript.pyannote[1742].speaker SPEAKER_17
transcript.pyannote[1742].start 24885.18846875
transcript.pyannote[1742].end 24896.81534375
transcript.pyannote[1743].speaker SPEAKER_17
transcript.pyannote[1743].start 24897.59159375
transcript.pyannote[1743].end 24899.49846875
transcript.pyannote[1744].speaker SPEAKER_22
transcript.pyannote[1744].start 24900.34221875
transcript.pyannote[1744].end 24904.35846875
transcript.pyannote[1745].speaker SPEAKER_22
transcript.pyannote[1745].start 24904.54409375
transcript.pyannote[1745].end 24907.85159375
transcript.pyannote[1746].speaker SPEAKER_22
transcript.pyannote[1746].start 24908.03721875
transcript.pyannote[1746].end 24909.16784375
transcript.pyannote[1747].speaker SPEAKER_22
transcript.pyannote[1747].start 24909.40409375
transcript.pyannote[1747].end 24911.56409375
transcript.pyannote[1748].speaker SPEAKER_22
transcript.pyannote[1748].start 24911.93534375
transcript.pyannote[1748].end 24918.56721875
transcript.pyannote[1749].speaker SPEAKER_17
transcript.pyannote[1749].start 24918.16221875
transcript.pyannote[1749].end 24918.44909375
transcript.pyannote[1750].speaker SPEAKER_17
transcript.pyannote[1750].start 24918.56721875
transcript.pyannote[1750].end 24923.68034375
transcript.pyannote[1751].speaker SPEAKER_22
transcript.pyannote[1751].start 24923.68034375
transcript.pyannote[1751].end 24923.81534375
transcript.pyannote[1752].speaker SPEAKER_17
transcript.pyannote[1752].start 24923.81534375
transcript.pyannote[1752].end 24942.36096875
transcript.pyannote[1753].speaker SPEAKER_17
transcript.pyannote[1753].start 24943.25534375
transcript.pyannote[1753].end 24949.83659375
transcript.pyannote[1754].speaker SPEAKER_22
transcript.pyannote[1754].start 24950.10659375
transcript.pyannote[1754].end 24953.59971875
transcript.pyannote[1755].speaker SPEAKER_17
transcript.pyannote[1755].start 24953.16096875
transcript.pyannote[1755].end 24955.59096875
transcript.pyannote[1756].speaker SPEAKER_22
transcript.pyannote[1756].start 24954.78096875
transcript.pyannote[1756].end 24960.09659375
transcript.pyannote[1757].speaker SPEAKER_22
transcript.pyannote[1757].start 24960.29909375
transcript.pyannote[1757].end 24970.05284375
transcript.pyannote[1758].speaker SPEAKER_17
transcript.pyannote[1758].start 24967.89284375
transcript.pyannote[1758].end 24971.31846875
transcript.pyannote[1759].speaker SPEAKER_17
transcript.pyannote[1759].start 24971.36909375
transcript.pyannote[1759].end 24972.36471875
transcript.pyannote[1760].speaker SPEAKER_22
transcript.pyannote[1760].start 24971.48721875
transcript.pyannote[1760].end 24974.10284375
transcript.pyannote[1761].speaker SPEAKER_17
transcript.pyannote[1761].start 24973.46159375
transcript.pyannote[1761].end 24976.14471875
transcript.pyannote[1762].speaker SPEAKER_22
transcript.pyannote[1762].start 24975.09846875
transcript.pyannote[1762].end 24977.96721875
transcript.pyannote[1763].speaker SPEAKER_29
transcript.pyannote[1763].start 24976.14471875
transcript.pyannote[1763].end 24976.17846875
transcript.pyannote[1764].speaker SPEAKER_17
transcript.pyannote[1764].start 24976.85346875
transcript.pyannote[1764].end 24983.40096875
transcript.pyannote[1765].speaker SPEAKER_29
transcript.pyannote[1765].start 24977.96721875
transcript.pyannote[1765].end 24979.73909375
transcript.pyannote[1766].speaker SPEAKER_17
transcript.pyannote[1766].start 24984.73409375
transcript.pyannote[1766].end 24996.88409375
transcript.pyannote[1767].speaker SPEAKER_17
transcript.pyannote[1767].start 24998.01471875
transcript.pyannote[1767].end 24999.56721875
transcript.pyannote[1768].speaker SPEAKER_22
transcript.pyannote[1768].start 24999.04409375
transcript.pyannote[1768].end 25005.74346875
transcript.pyannote[1769].speaker SPEAKER_17
transcript.pyannote[1769].start 25004.76471875
transcript.pyannote[1769].end 25007.31284375
transcript.pyannote[1770].speaker SPEAKER_17
transcript.pyannote[1770].start 25007.34659375
transcript.pyannote[1770].end 25007.39721875
transcript.pyannote[1771].speaker SPEAKER_22
transcript.pyannote[1771].start 25007.39721875
transcript.pyannote[1771].end 25007.65034375
transcript.pyannote[1772].speaker SPEAKER_17
transcript.pyannote[1772].start 25007.51534375
transcript.pyannote[1772].end 25009.10159375
transcript.pyannote[1773].speaker SPEAKER_17
transcript.pyannote[1773].start 25009.89471875
transcript.pyannote[1773].end 25016.89784375
transcript.pyannote[1774].speaker SPEAKER_17
transcript.pyannote[1774].start 25017.55596875
transcript.pyannote[1774].end 25018.39971875
transcript.pyannote[1775].speaker SPEAKER_17
transcript.pyannote[1775].start 25018.46721875
transcript.pyannote[1775].end 25030.98846875
transcript.pyannote[1776].speaker SPEAKER_22
transcript.pyannote[1776].start 25031.08971875
transcript.pyannote[1776].end 25034.12721875
transcript.pyannote[1777].speaker SPEAKER_17
transcript.pyannote[1777].start 25033.57034375
transcript.pyannote[1777].end 25039.67909375
transcript.pyannote[1778].speaker SPEAKER_22
transcript.pyannote[1778].start 25035.34221875
transcript.pyannote[1778].end 25036.01721875
transcript.pyannote[1779].speaker SPEAKER_22
transcript.pyannote[1779].start 25037.60346875
transcript.pyannote[1779].end 25048.65659375
transcript.pyannote[1780].speaker SPEAKER_25
transcript.pyannote[1780].start 25048.79159375
transcript.pyannote[1780].end 25049.24721875
transcript.pyannote[1781].speaker SPEAKER_22
transcript.pyannote[1781].start 25049.01096875
transcript.pyannote[1781].end 25050.39471875
transcript.pyannote[1782].speaker SPEAKER_22
transcript.pyannote[1782].start 25050.64784375
transcript.pyannote[1782].end 25052.52096875
transcript.pyannote[1783].speaker SPEAKER_22
transcript.pyannote[1783].start 25052.75721875
transcript.pyannote[1783].end 25054.98471875
transcript.pyannote[1784].speaker SPEAKER_17
transcript.pyannote[1784].start 25054.81596875
transcript.pyannote[1784].end 25059.89534375
transcript.pyannote[1785].speaker SPEAKER_22
transcript.pyannote[1785].start 25055.74409375
transcript.pyannote[1785].end 25058.56221875
transcript.pyannote[1786].speaker SPEAKER_22
transcript.pyannote[1786].start 25059.89534375
transcript.pyannote[1786].end 25060.16534375
transcript.pyannote[1787].speaker SPEAKER_17
transcript.pyannote[1787].start 25060.16534375
transcript.pyannote[1787].end 25082.79471875
transcript.pyannote[1788].speaker SPEAKER_10
transcript.pyannote[1788].start 25063.37159375
transcript.pyannote[1788].end 25064.26596875
transcript.pyannote[1789].speaker SPEAKER_22
transcript.pyannote[1789].start 25083.38534375
transcript.pyannote[1789].end 25084.65096875
transcript.pyannote[1790].speaker SPEAKER_22
transcript.pyannote[1790].start 25084.87034375
transcript.pyannote[1790].end 25086.70971875
transcript.pyannote[1791].speaker SPEAKER_22
transcript.pyannote[1791].start 25087.16534375
transcript.pyannote[1791].end 25088.54909375
transcript.pyannote[1792].speaker SPEAKER_22
transcript.pyannote[1792].start 25088.98784375
transcript.pyannote[1792].end 25091.06346875
transcript.pyannote[1793].speaker SPEAKER_22
transcript.pyannote[1793].start 25091.78909375
transcript.pyannote[1793].end 25094.42159375
transcript.pyannote[1794].speaker SPEAKER_22
transcript.pyannote[1794].start 25094.84346875
transcript.pyannote[1794].end 25099.34909375
transcript.pyannote[1795].speaker SPEAKER_22
transcript.pyannote[1795].start 25099.50096875
transcript.pyannote[1795].end 25104.12471875
transcript.pyannote[1796].speaker SPEAKER_17
transcript.pyannote[1796].start 25104.74909375
transcript.pyannote[1796].end 25105.06971875
transcript.pyannote[1797].speaker SPEAKER_17
transcript.pyannote[1797].start 25105.72784375
transcript.pyannote[1797].end 25106.67284375
transcript.pyannote[1798].speaker SPEAKER_17
transcript.pyannote[1798].start 25107.26346875
transcript.pyannote[1798].end 25111.51596875
transcript.pyannote[1799].speaker SPEAKER_29
transcript.pyannote[1799].start 25113.35534375
transcript.pyannote[1799].end 25113.94596875
transcript.pyannote[1800].speaker SPEAKER_29
transcript.pyannote[1800].start 25115.17784375
transcript.pyannote[1800].end 25116.91596875
transcript.pyannote[1801].speaker SPEAKER_17
transcript.pyannote[1801].start 25117.08471875
transcript.pyannote[1801].end 25119.26159375
transcript.pyannote[1802].speaker SPEAKER_29
transcript.pyannote[1802].start 25119.97034375
transcript.pyannote[1802].end 25121.38784375
transcript.pyannote[1803].speaker SPEAKER_17
transcript.pyannote[1803].start 25121.67471875
transcript.pyannote[1803].end 25123.21034375
transcript.pyannote[1804].speaker SPEAKER_29
transcript.pyannote[1804].start 25123.78409375
transcript.pyannote[1804].end 25124.69534375
transcript.pyannote[1805].speaker SPEAKER_17
transcript.pyannote[1805].start 25125.04971875
transcript.pyannote[1805].end 25126.07909375
transcript.pyannote[1806].speaker SPEAKER_29
transcript.pyannote[1806].start 25126.26471875
transcript.pyannote[1806].end 25127.07471875
transcript.pyannote[1807].speaker SPEAKER_17
transcript.pyannote[1807].start 25127.61471875
transcript.pyannote[1807].end 25131.85034375
transcript.pyannote[1808].speaker SPEAKER_29
transcript.pyannote[1808].start 25132.10346875
transcript.pyannote[1808].end 25135.61346875
transcript.pyannote[1809].speaker SPEAKER_17
transcript.pyannote[1809].start 25136.05221875
transcript.pyannote[1809].end 25137.53721875
transcript.pyannote[1810].speaker SPEAKER_29
transcript.pyannote[1810].start 25137.41909375
transcript.pyannote[1810].end 25137.48659375
transcript.pyannote[1811].speaker SPEAKER_29
transcript.pyannote[1811].start 25137.53721875
transcript.pyannote[1811].end 25139.47784375
transcript.pyannote[1812].speaker SPEAKER_17
transcript.pyannote[1812].start 25139.68034375
transcript.pyannote[1812].end 25143.51096875
transcript.pyannote[1813].speaker SPEAKER_29
transcript.pyannote[1813].start 25143.94971875
transcript.pyannote[1813].end 25164.55409375
transcript.pyannote[1814].speaker SPEAKER_17
transcript.pyannote[1814].start 25165.29659375
transcript.pyannote[1814].end 25170.37596875
transcript.pyannote[1815].speaker SPEAKER_29
transcript.pyannote[1815].start 25170.78096875
transcript.pyannote[1815].end 25174.22346875
transcript.pyannote[1816].speaker SPEAKER_17
transcript.pyannote[1816].start 25174.40909375
transcript.pyannote[1816].end 25175.28659375
transcript.pyannote[1817].speaker SPEAKER_29
transcript.pyannote[1817].start 25175.48909375
transcript.pyannote[1817].end 25176.58596875
transcript.pyannote[1818].speaker SPEAKER_17
transcript.pyannote[1818].start 25176.02909375
transcript.pyannote[1818].end 25177.80096875
transcript.pyannote[1819].speaker SPEAKER_29
transcript.pyannote[1819].start 25178.35784375
transcript.pyannote[1819].end 25180.31534375
transcript.pyannote[1820].speaker SPEAKER_17
transcript.pyannote[1820].start 25179.62346875
transcript.pyannote[1820].end 25181.46284375
transcript.pyannote[1821].speaker SPEAKER_29
transcript.pyannote[1821].start 25181.61471875
transcript.pyannote[1821].end 25185.49596875
transcript.pyannote[1822].speaker SPEAKER_17
transcript.pyannote[1822].start 25185.17534375
transcript.pyannote[1822].end 25188.44909375
transcript.pyannote[1823].speaker SPEAKER_29
transcript.pyannote[1823].start 25189.73159375
transcript.pyannote[1823].end 25193.03909375
transcript.pyannote[1824].speaker SPEAKER_29
transcript.pyannote[1824].start 25193.27534375
transcript.pyannote[1824].end 25194.38909375
transcript.pyannote[1825].speaker SPEAKER_17
transcript.pyannote[1825].start 25194.57471875
transcript.pyannote[1825].end 25195.99221875
transcript.pyannote[1826].speaker SPEAKER_29
transcript.pyannote[1826].start 25196.80221875
transcript.pyannote[1826].end 25199.23221875
transcript.pyannote[1827].speaker SPEAKER_17
transcript.pyannote[1827].start 25198.64159375
transcript.pyannote[1827].end 25202.10096875
transcript.pyannote[1828].speaker SPEAKER_29
transcript.pyannote[1828].start 25199.68784375
transcript.pyannote[1828].end 25203.41721875
transcript.pyannote[1829].speaker SPEAKER_17
transcript.pyannote[1829].start 25202.80971875
transcript.pyannote[1829].end 25203.80534375
transcript.pyannote[1830].speaker SPEAKER_29
transcript.pyannote[1830].start 25204.68284375
transcript.pyannote[1830].end 25205.40846875
transcript.pyannote[1831].speaker SPEAKER_17
transcript.pyannote[1831].start 25204.85159375
transcript.pyannote[1831].end 25206.87659375
transcript.pyannote[1832].speaker SPEAKER_29
transcript.pyannote[1832].start 25207.80471875
transcript.pyannote[1832].end 25217.54159375
transcript.pyannote[1833].speaker SPEAKER_17
transcript.pyannote[1833].start 25207.88909375
transcript.pyannote[1833].end 25208.91846875
transcript.pyannote[1834].speaker SPEAKER_17
transcript.pyannote[1834].start 25218.65534375
transcript.pyannote[1834].end 25218.99284375
transcript.pyannote[1835].speaker SPEAKER_17
transcript.pyannote[1835].start 25219.19534375
transcript.pyannote[1835].end 25220.37659375
transcript.pyannote[1836].speaker SPEAKER_17
transcript.pyannote[1836].start 25220.51159375
transcript.pyannote[1836].end 25225.99596875
transcript.pyannote[1837].speaker SPEAKER_17
transcript.pyannote[1837].start 25226.94096875
transcript.pyannote[1837].end 25249.11471875
transcript.pyannote[1838].speaker SPEAKER_29
transcript.pyannote[1838].start 25249.24971875
transcript.pyannote[1838].end 25264.38659375
transcript.pyannote[1839].speaker SPEAKER_17
transcript.pyannote[1839].start 25264.74096875
transcript.pyannote[1839].end 25277.11034375
transcript.pyannote[1840].speaker SPEAKER_17
transcript.pyannote[1840].start 25277.51534375
transcript.pyannote[1840].end 25279.60784375
transcript.pyannote[1841].speaker SPEAKER_17
transcript.pyannote[1841].start 25279.87784375
transcript.pyannote[1841].end 25302.54096875
transcript.pyannote[1842].speaker SPEAKER_29
transcript.pyannote[1842].start 25302.67596875
transcript.pyannote[1842].end 25303.41846875
transcript.pyannote[1843].speaker SPEAKER_17
transcript.pyannote[1843].start 25303.46909375
transcript.pyannote[1843].end 25308.76784375
transcript.pyannote[1844].speaker SPEAKER_17
transcript.pyannote[1844].start 25309.12221875
transcript.pyannote[1844].end 25312.93596875
transcript.pyannote[1845].speaker SPEAKER_22
transcript.pyannote[1845].start 25313.08784375
transcript.pyannote[1845].end 25314.60659375
transcript.pyannote[1846].speaker SPEAKER_22
transcript.pyannote[1846].start 25314.89346875
transcript.pyannote[1846].end 25317.10409375
transcript.pyannote[1847].speaker SPEAKER_22
transcript.pyannote[1847].start 25317.42471875
transcript.pyannote[1847].end 25318.67346875
transcript.pyannote[1848].speaker SPEAKER_22
transcript.pyannote[1848].start 25319.12909375
transcript.pyannote[1848].end 25322.63909375
transcript.pyannote[1849].speaker SPEAKER_17
transcript.pyannote[1849].start 25320.56346875
transcript.pyannote[1849].end 25329.45659375
transcript.pyannote[1850].speaker SPEAKER_22
transcript.pyannote[1850].start 25328.56221875
transcript.pyannote[1850].end 25334.02971875
transcript.pyannote[1851].speaker SPEAKER_22
transcript.pyannote[1851].start 25334.55284375
transcript.pyannote[1851].end 25343.76659375
transcript.pyannote[1852].speaker SPEAKER_22
transcript.pyannote[1852].start 25344.12096875
transcript.pyannote[1852].end 25345.48784375
transcript.pyannote[1853].speaker SPEAKER_22
transcript.pyannote[1853].start 25345.77471875
transcript.pyannote[1853].end 25347.56346875
transcript.pyannote[1854].speaker SPEAKER_22
transcript.pyannote[1854].start 25347.98534375
transcript.pyannote[1854].end 25353.48659375
transcript.pyannote[1855].speaker SPEAKER_22
transcript.pyannote[1855].start 25353.72284375
transcript.pyannote[1855].end 25367.52659375
transcript.pyannote[1856].speaker SPEAKER_22
transcript.pyannote[1856].start 25367.66159375
transcript.pyannote[1856].end 25370.47971875
transcript.pyannote[1857].speaker SPEAKER_17
transcript.pyannote[1857].start 25370.47971875
transcript.pyannote[1857].end 25371.03659375
transcript.pyannote[1858].speaker SPEAKER_17
transcript.pyannote[1858].start 25371.54284375
transcript.pyannote[1858].end 25377.68534375
transcript.pyannote[1859].speaker SPEAKER_17
transcript.pyannote[1859].start 25377.87096875
transcript.pyannote[1859].end 25377.97221875
transcript.pyannote[1860].speaker SPEAKER_22
transcript.pyannote[1860].start 25377.97221875
transcript.pyannote[1860].end 25378.17471875
transcript.pyannote[1861].speaker SPEAKER_17
transcript.pyannote[1861].start 25378.17471875
transcript.pyannote[1861].end 25378.29284375
transcript.pyannote[1862].speaker SPEAKER_22
transcript.pyannote[1862].start 25378.90034375
transcript.pyannote[1862].end 25382.81534375
transcript.pyannote[1863].speaker SPEAKER_22
transcript.pyannote[1863].start 25383.62534375
transcript.pyannote[1863].end 25385.59971875
transcript.pyannote[1864].speaker SPEAKER_17
transcript.pyannote[1864].start 25385.73471875
transcript.pyannote[1864].end 25391.06721875
transcript.pyannote[1865].speaker SPEAKER_22
transcript.pyannote[1865].start 25391.32034375
transcript.pyannote[1865].end 25394.27346875
transcript.pyannote[1866].speaker SPEAKER_17
transcript.pyannote[1866].start 25393.46346875
transcript.pyannote[1866].end 25395.85971875
transcript.pyannote[1867].speaker SPEAKER_22
transcript.pyannote[1867].start 25394.91471875
transcript.pyannote[1867].end 25396.83846875
transcript.pyannote[1868].speaker SPEAKER_17
transcript.pyannote[1868].start 25396.55159375
transcript.pyannote[1868].end 25399.52159375
transcript.pyannote[1869].speaker SPEAKER_22
transcript.pyannote[1869].start 25398.62721875
transcript.pyannote[1869].end 25402.25534375
transcript.pyannote[1870].speaker SPEAKER_17
transcript.pyannote[1870].start 25402.08659375
transcript.pyannote[1870].end 25408.73534375
transcript.pyannote[1871].speaker SPEAKER_22
transcript.pyannote[1871].start 25407.01409375
transcript.pyannote[1871].end 25409.69721875
transcript.pyannote[1872].speaker SPEAKER_17
transcript.pyannote[1872].start 25408.88721875
transcript.pyannote[1872].end 25411.38471875
transcript.pyannote[1873].speaker SPEAKER_22
transcript.pyannote[1873].start 25411.01346875
transcript.pyannote[1873].end 25420.19346875
transcript.pyannote[1874].speaker SPEAKER_17
transcript.pyannote[1874].start 25419.78846875
transcript.pyannote[1874].end 25431.28034375
transcript.pyannote[1875].speaker SPEAKER_22
transcript.pyannote[1875].start 25433.57534375
transcript.pyannote[1875].end 25437.22034375
transcript.pyannote[1876].speaker SPEAKER_17
transcript.pyannote[1876].start 25437.22034375
transcript.pyannote[1876].end 25449.80909375
transcript.pyannote[1877].speaker SPEAKER_22
transcript.pyannote[1877].start 25441.35471875
transcript.pyannote[1877].end 25442.45159375
transcript.pyannote[1878].speaker SPEAKER_22
transcript.pyannote[1878].start 25449.38721875
transcript.pyannote[1878].end 25452.03659375
transcript.pyannote[1879].speaker SPEAKER_17
transcript.pyannote[1879].start 25453.13346875
transcript.pyannote[1879].end 25455.41159375
transcript.pyannote[1880].speaker SPEAKER_22
transcript.pyannote[1880].start 25455.78284375
transcript.pyannote[1880].end 25457.65596875
transcript.pyannote[1881].speaker SPEAKER_17
transcript.pyannote[1881].start 25457.95971875
transcript.pyannote[1881].end 25459.46159375
transcript.pyannote[1882].speaker SPEAKER_22
transcript.pyannote[1882].start 25460.15346875
transcript.pyannote[1882].end 25460.18721875
transcript.pyannote[1883].speaker SPEAKER_30
transcript.pyannote[1883].start 25460.18721875
transcript.pyannote[1883].end 25460.59221875
transcript.pyannote[1884].speaker SPEAKER_30
transcript.pyannote[1884].start 25460.81159375
transcript.pyannote[1884].end 25461.53721875
transcript.pyannote[1885].speaker SPEAKER_30
transcript.pyannote[1885].start 25462.56659375
transcript.pyannote[1885].end 25463.05596875
transcript.pyannote[1886].speaker SPEAKER_30
transcript.pyannote[1886].start 25463.95034375
transcript.pyannote[1886].end 25464.76034375
transcript.pyannote[1887].speaker SPEAKER_30
transcript.pyannote[1887].start 25465.31721875
transcript.pyannote[1887].end 25476.23534375
transcript.pyannote[1888].speaker SPEAKER_30
transcript.pyannote[1888].start 25480.03221875
transcript.pyannote[1888].end 25491.03471875
transcript.pyannote[1889].speaker SPEAKER_30
transcript.pyannote[1889].start 25491.57471875
transcript.pyannote[1889].end 25494.44346875
transcript.pyannote[1890].speaker SPEAKER_09
transcript.pyannote[1890].start 25504.51784375
transcript.pyannote[1890].end 25506.59346875
transcript.pyannote[1891].speaker SPEAKER_30
transcript.pyannote[1891].start 25508.07846875
transcript.pyannote[1891].end 25509.10784375
transcript.pyannote[1892].speaker SPEAKER_09
transcript.pyannote[1892].start 25516.27971875
transcript.pyannote[1892].end 25536.04034375
transcript.pyannote[1893].speaker SPEAKER_22
transcript.pyannote[1893].start 25536.39471875
transcript.pyannote[1893].end 25540.19159375
transcript.pyannote[1894].speaker SPEAKER_22
transcript.pyannote[1894].start 25540.42784375
transcript.pyannote[1894].end 25545.03471875
transcript.pyannote[1895].speaker SPEAKER_22
transcript.pyannote[1895].start 25545.35534375
transcript.pyannote[1895].end 25546.30034375
transcript.pyannote[1896].speaker SPEAKER_22
transcript.pyannote[1896].start 25546.53659375
transcript.pyannote[1896].end 25549.23659375
transcript.pyannote[1897].speaker SPEAKER_09
transcript.pyannote[1897].start 25548.08909375
transcript.pyannote[1897].end 25548.78096875
transcript.pyannote[1898].speaker SPEAKER_09
transcript.pyannote[1898].start 25549.00034375
transcript.pyannote[1898].end 25559.90159375
transcript.pyannote[1899].speaker SPEAKER_09
transcript.pyannote[1899].start 25560.94784375
transcript.pyannote[1899].end 25568.99721875
transcript.pyannote[1900].speaker SPEAKER_09
transcript.pyannote[1900].start 25569.35159375
transcript.pyannote[1900].end 25571.57909375
transcript.pyannote[1901].speaker SPEAKER_09
transcript.pyannote[1901].start 25571.88284375
transcript.pyannote[1901].end 25585.90596875
transcript.pyannote[1902].speaker SPEAKER_09
transcript.pyannote[1902].start 25587.20534375
transcript.pyannote[1902].end 25595.62596875
transcript.pyannote[1903].speaker SPEAKER_09
transcript.pyannote[1903].start 25595.81159375
transcript.pyannote[1903].end 25597.71846875
transcript.pyannote[1904].speaker SPEAKER_22
transcript.pyannote[1904].start 25598.30909375
transcript.pyannote[1904].end 25607.94471875
transcript.pyannote[1905].speaker SPEAKER_22
transcript.pyannote[1905].start 25608.24846875
transcript.pyannote[1905].end 25609.32846875
transcript.pyannote[1906].speaker SPEAKER_22
transcript.pyannote[1906].start 25609.83471875
transcript.pyannote[1906].end 25610.69534375
transcript.pyannote[1907].speaker SPEAKER_22
transcript.pyannote[1907].start 25610.93159375
transcript.pyannote[1907].end 25615.70721875
transcript.pyannote[1908].speaker SPEAKER_09
transcript.pyannote[1908].start 25610.94846875
transcript.pyannote[1908].end 25611.52221875
transcript.pyannote[1909].speaker SPEAKER_09
transcript.pyannote[1909].start 25612.93971875
transcript.pyannote[1909].end 25613.66534375
transcript.pyannote[1910].speaker SPEAKER_09
transcript.pyannote[1910].start 25615.35284375
transcript.pyannote[1910].end 25627.01346875
transcript.pyannote[1911].speaker SPEAKER_09
transcript.pyannote[1911].start 25627.82346875
transcript.pyannote[1911].end 25629.30846875
transcript.pyannote[1912].speaker SPEAKER_09
transcript.pyannote[1912].start 25629.76409375
transcript.pyannote[1912].end 25630.96221875
transcript.pyannote[1913].speaker SPEAKER_09
transcript.pyannote[1913].start 25632.27846875
transcript.pyannote[1913].end 25633.35846875
transcript.pyannote[1914].speaker SPEAKER_09
transcript.pyannote[1914].start 25634.57346875
transcript.pyannote[1914].end 25635.06284375
transcript.pyannote[1915].speaker SPEAKER_09
transcript.pyannote[1915].start 25635.41721875
transcript.pyannote[1915].end 25636.19346875
transcript.pyannote[1916].speaker SPEAKER_09
transcript.pyannote[1916].start 25636.59846875
transcript.pyannote[1916].end 25637.93159375
transcript.pyannote[1917].speaker SPEAKER_09
transcript.pyannote[1917].start 25638.58971875
transcript.pyannote[1917].end 25639.70346875
transcript.pyannote[1918].speaker SPEAKER_09
transcript.pyannote[1918].start 25640.27721875
transcript.pyannote[1918].end 25643.95596875
transcript.pyannote[1919].speaker SPEAKER_22
transcript.pyannote[1919].start 25645.49159375
transcript.pyannote[1919].end 25645.66034375
transcript.pyannote[1920].speaker SPEAKER_22
transcript.pyannote[1920].start 25646.06534375
transcript.pyannote[1920].end 25648.91721875
transcript.pyannote[1921].speaker SPEAKER_09
transcript.pyannote[1921].start 25646.13284375
transcript.pyannote[1921].end 25647.46596875
transcript.pyannote[1922].speaker SPEAKER_09
transcript.pyannote[1922].start 25649.08596875
transcript.pyannote[1922].end 25651.53284375
transcript.pyannote[1923].speaker SPEAKER_09
transcript.pyannote[1923].start 25652.29221875
transcript.pyannote[1923].end 25652.98409375
transcript.pyannote[1924].speaker SPEAKER_09
transcript.pyannote[1924].start 25654.36784375
transcript.pyannote[1924].end 25659.58221875
transcript.pyannote[1925].speaker SPEAKER_09
transcript.pyannote[1925].start 25659.81846875
transcript.pyannote[1925].end 25661.72534375
transcript.pyannote[1926].speaker SPEAKER_22
transcript.pyannote[1926].start 25662.60284375
transcript.pyannote[1926].end 25662.82221875
transcript.pyannote[1927].speaker SPEAKER_09
transcript.pyannote[1927].start 25663.32846875
transcript.pyannote[1927].end 25664.40846875
transcript.pyannote[1928].speaker SPEAKER_22
transcript.pyannote[1928].start 25666.21409375
transcript.pyannote[1928].end 25666.58534375
transcript.pyannote[1929].speaker SPEAKER_22
transcript.pyannote[1929].start 25667.19284375
transcript.pyannote[1929].end 25667.95221875
transcript.pyannote[1930].speaker SPEAKER_22
transcript.pyannote[1930].start 25668.42471875
transcript.pyannote[1930].end 25670.51721875
transcript.pyannote[1931].speaker SPEAKER_22
transcript.pyannote[1931].start 25670.83784375
transcript.pyannote[1931].end 25673.77409375
transcript.pyannote[1932].speaker SPEAKER_09
transcript.pyannote[1932].start 25671.05721875
transcript.pyannote[1932].end 25671.10784375
transcript.pyannote[1933].speaker SPEAKER_09
transcript.pyannote[1933].start 25673.65596875
transcript.pyannote[1933].end 25673.75721875
transcript.pyannote[1934].speaker SPEAKER_09
transcript.pyannote[1934].start 25673.77409375
transcript.pyannote[1934].end 25684.70909375
transcript.pyannote[1935].speaker SPEAKER_09
transcript.pyannote[1935].start 25685.29971875
transcript.pyannote[1935].end 25687.47659375
transcript.pyannote[1936].speaker SPEAKER_09
transcript.pyannote[1936].start 25688.05034375
transcript.pyannote[1936].end 25710.42659375
transcript.pyannote[1937].speaker SPEAKER_09
transcript.pyannote[1937].start 25710.91596875
transcript.pyannote[1937].end 25717.02471875
transcript.pyannote[1938].speaker SPEAKER_09
transcript.pyannote[1938].start 25717.93596875
transcript.pyannote[1938].end 25734.92909375
transcript.pyannote[1939].speaker SPEAKER_09
transcript.pyannote[1939].start 25735.28346875
transcript.pyannote[1939].end 25746.69096875
transcript.pyannote[1940].speaker SPEAKER_09
transcript.pyannote[1940].start 25746.84284375
transcript.pyannote[1940].end 25754.47034375
transcript.pyannote[1941].speaker SPEAKER_09
transcript.pyannote[1941].start 25756.10721875
transcript.pyannote[1941].end 25758.92534375
transcript.pyannote[1942].speaker SPEAKER_22
transcript.pyannote[1942].start 25759.44846875
transcript.pyannote[1942].end 25763.71784375
transcript.pyannote[1943].speaker SPEAKER_22
transcript.pyannote[1943].start 25764.44346875
transcript.pyannote[1943].end 25767.76784375
transcript.pyannote[1944].speaker SPEAKER_22
transcript.pyannote[1944].start 25767.83534375
transcript.pyannote[1944].end 25769.96159375
transcript.pyannote[1945].speaker SPEAKER_22
transcript.pyannote[1945].start 25770.40034375
transcript.pyannote[1945].end 25776.49221875
transcript.pyannote[1946].speaker SPEAKER_09
transcript.pyannote[1946].start 25775.02409375
transcript.pyannote[1946].end 25791.83159375
transcript.pyannote[1947].speaker SPEAKER_09
transcript.pyannote[1947].start 25792.60784375
transcript.pyannote[1947].end 25796.20221875
transcript.pyannote[1948].speaker SPEAKER_09
transcript.pyannote[1948].start 25797.61971875
transcript.pyannote[1948].end 25803.10409375
transcript.pyannote[1949].speaker SPEAKER_09
transcript.pyannote[1949].start 25804.50471875
transcript.pyannote[1949].end 25806.63096875
transcript.pyannote[1950].speaker SPEAKER_09
transcript.pyannote[1950].start 25807.44096875
transcript.pyannote[1950].end 25808.31846875
transcript.pyannote[1951].speaker SPEAKER_09
transcript.pyannote[1951].start 25809.39846875
transcript.pyannote[1951].end 25811.81159375
transcript.pyannote[1952].speaker SPEAKER_09
transcript.pyannote[1952].start 25812.67221875
transcript.pyannote[1952].end 25815.55784375
transcript.pyannote[1953].speaker SPEAKER_09
transcript.pyannote[1953].start 25816.09784375
transcript.pyannote[1953].end 25819.05096875
transcript.pyannote[1954].speaker SPEAKER_09
transcript.pyannote[1954].start 25820.38409375
transcript.pyannote[1954].end 25825.02471875
transcript.pyannote[1955].speaker SPEAKER_22
transcript.pyannote[1955].start 25821.14346875
transcript.pyannote[1955].end 25821.97034375
transcript.pyannote[1956].speaker SPEAKER_22
transcript.pyannote[1956].start 25823.03346875
transcript.pyannote[1956].end 25823.48909375
transcript.pyannote[1957].speaker SPEAKER_22
transcript.pyannote[1957].start 25823.57346875
transcript.pyannote[1957].end 25824.04596875
transcript.pyannote[1958].speaker SPEAKER_22
transcript.pyannote[1958].start 25825.02471875
transcript.pyannote[1958].end 25832.66909375
transcript.pyannote[1959].speaker SPEAKER_22
transcript.pyannote[1959].start 25832.82096875
transcript.pyannote[1959].end 25842.18659375
transcript.pyannote[1960].speaker SPEAKER_09
transcript.pyannote[1960].start 25842.74346875
transcript.pyannote[1960].end 25855.63596875
transcript.pyannote[1961].speaker SPEAKER_09
transcript.pyannote[1961].start 25855.92284375
transcript.pyannote[1961].end 25870.53659375
transcript.pyannote[1962].speaker SPEAKER_22
transcript.pyannote[1962].start 25862.63909375
transcript.pyannote[1962].end 25864.39409375
transcript.pyannote[1963].speaker SPEAKER_22
transcript.pyannote[1963].start 25869.22034375
transcript.pyannote[1963].end 25869.25409375
transcript.pyannote[1964].speaker SPEAKER_25
transcript.pyannote[1964].start 25869.25409375
transcript.pyannote[1964].end 25869.79409375
transcript.pyannote[1965].speaker SPEAKER_09
transcript.pyannote[1965].start 25871.41409375
transcript.pyannote[1965].end 25886.33159375
transcript.pyannote[1966].speaker SPEAKER_09
transcript.pyannote[1966].start 25887.02346875
transcript.pyannote[1966].end 25893.16596875
transcript.pyannote[1967].speaker SPEAKER_28
transcript.pyannote[1967].start 25889.52096875
transcript.pyannote[1967].end 25889.67284375
transcript.pyannote[1968].speaker SPEAKER_28
transcript.pyannote[1968].start 25889.84159375
transcript.pyannote[1968].end 25890.02721875
transcript.pyannote[1969].speaker SPEAKER_09
transcript.pyannote[1969].start 25893.35159375
transcript.pyannote[1969].end 25901.60346875
transcript.pyannote[1970].speaker SPEAKER_09
transcript.pyannote[1970].start 25902.07596875
transcript.pyannote[1970].end 25937.98596875
transcript.pyannote[1971].speaker SPEAKER_22
transcript.pyannote[1971].start 25938.17159375
transcript.pyannote[1971].end 25944.70221875
transcript.pyannote[1972].speaker SPEAKER_09
transcript.pyannote[1972].start 25939.48784375
transcript.pyannote[1972].end 25939.58909375
transcript.pyannote[1973].speaker SPEAKER_09
transcript.pyannote[1973].start 25943.67284375
transcript.pyannote[1973].end 25952.05971875
transcript.pyannote[1974].speaker SPEAKER_09
transcript.pyannote[1974].start 25952.48159375
transcript.pyannote[1974].end 25969.35659375
transcript.pyannote[1975].speaker SPEAKER_09
transcript.pyannote[1975].start 25970.11596875
transcript.pyannote[1975].end 25973.55846875
transcript.pyannote[1976].speaker SPEAKER_22
transcript.pyannote[1976].start 25973.55846875
transcript.pyannote[1976].end 25973.59221875
transcript.pyannote[1977].speaker SPEAKER_22
transcript.pyannote[1977].start 25973.60909375
transcript.pyannote[1977].end 25974.53721875
transcript.pyannote[1978].speaker SPEAKER_22
transcript.pyannote[1978].start 25974.94221875
transcript.pyannote[1978].end 25976.20784375
transcript.pyannote[1979].speaker SPEAKER_22
transcript.pyannote[1979].start 25976.89971875
transcript.pyannote[1979].end 25983.27846875
transcript.pyannote[1980].speaker SPEAKER_09
transcript.pyannote[1980].start 25982.99159375
transcript.pyannote[1980].end 25997.09909375
transcript.pyannote[1981].speaker SPEAKER_22
transcript.pyannote[1981].start 25984.24034375
transcript.pyannote[1981].end 25984.47659375
transcript.pyannote[1982].speaker SPEAKER_22
transcript.pyannote[1982].start 25985.20221875
transcript.pyannote[1982].end 25986.29909375
transcript.pyannote[1983].speaker SPEAKER_22
transcript.pyannote[1983].start 25996.44096875
transcript.pyannote[1983].end 25996.98096875
transcript.pyannote[1984].speaker SPEAKER_22
transcript.pyannote[1984].start 25997.09909375
transcript.pyannote[1984].end 25997.14971875
transcript.pyannote[1985].speaker SPEAKER_09
transcript.pyannote[1985].start 25997.14971875
transcript.pyannote[1985].end 25997.23409375
transcript.pyannote[1986].speaker SPEAKER_09
transcript.pyannote[1986].start 25997.31846875
transcript.pyannote[1986].end 26000.49096875
transcript.pyannote[1987].speaker SPEAKER_09
transcript.pyannote[1987].start 26001.35159375
transcript.pyannote[1987].end 26003.05596875
transcript.pyannote[1988].speaker SPEAKER_09
transcript.pyannote[1988].start 26003.56221875
transcript.pyannote[1988].end 26005.03034375
transcript.pyannote[1989].speaker SPEAKER_09
transcript.pyannote[1989].start 26005.43534375
transcript.pyannote[1989].end 26006.32971875
transcript.pyannote[1990].speaker SPEAKER_09
transcript.pyannote[1990].start 26006.58284375
transcript.pyannote[1990].end 26011.03784375
transcript.pyannote[1991].speaker SPEAKER_09
transcript.pyannote[1991].start 26011.13909375
transcript.pyannote[1991].end 26018.66534375
transcript.pyannote[1992].speaker SPEAKER_09
transcript.pyannote[1992].start 26018.98596875
transcript.pyannote[1992].end 26022.05721875
transcript.pyannote[1993].speaker SPEAKER_25
transcript.pyannote[1993].start 26022.54659375
transcript.pyannote[1993].end 26022.85034375
transcript.pyannote[1994].speaker SPEAKER_09
transcript.pyannote[1994].start 26023.12034375
transcript.pyannote[1994].end 26028.38534375
transcript.pyannote[1995].speaker SPEAKER_09
transcript.pyannote[1995].start 26029.04346875
transcript.pyannote[1995].end 26036.50221875
transcript.pyannote[1996].speaker SPEAKER_09
transcript.pyannote[1996].start 26037.17721875
transcript.pyannote[1996].end 26040.19784375
transcript.pyannote[1997].speaker SPEAKER_09
transcript.pyannote[1997].start 26041.17659375
transcript.pyannote[1997].end 26052.22971875
transcript.pyannote[1998].speaker SPEAKER_09
transcript.pyannote[1998].start 26052.61784375
transcript.pyannote[1998].end 26056.11096875
transcript.pyannote[1999].speaker SPEAKER_09
transcript.pyannote[1999].start 26056.73534375
transcript.pyannote[1999].end 26060.88659375
transcript.pyannote[2000].speaker SPEAKER_22
transcript.pyannote[2000].start 26060.88659375
transcript.pyannote[2000].end 26063.65409375
transcript.pyannote[2001].speaker SPEAKER_09
transcript.pyannote[2001].start 26063.33346875
transcript.pyannote[2001].end 26076.64784375
transcript.pyannote[2002].speaker SPEAKER_22
transcript.pyannote[2002].start 26074.33596875
transcript.pyannote[2002].end 26079.97221875
transcript.pyannote[2003].speaker SPEAKER_09
transcript.pyannote[2003].start 26079.28034375
transcript.pyannote[2003].end 26086.92471875
transcript.pyannote[2004].speaker SPEAKER_09
transcript.pyannote[2004].start 26087.43096875
transcript.pyannote[2004].end 26093.67471875
transcript.pyannote[2005].speaker SPEAKER_09
transcript.pyannote[2005].start 26094.16409375
transcript.pyannote[2005].end 26097.08346875
transcript.pyannote[2006].speaker SPEAKER_09
transcript.pyannote[2006].start 26097.28596875
transcript.pyannote[2006].end 26099.80034375
transcript.pyannote[2007].speaker SPEAKER_09
transcript.pyannote[2007].start 26100.05346875
transcript.pyannote[2007].end 26101.15034375
transcript.pyannote[2008].speaker SPEAKER_09
transcript.pyannote[2008].start 26101.74096875
transcript.pyannote[2008].end 26103.15846875
transcript.pyannote[2009].speaker SPEAKER_09
transcript.pyannote[2009].start 26103.88409375
transcript.pyannote[2009].end 26108.01846875
transcript.pyannote[2010].speaker SPEAKER_09
transcript.pyannote[2010].start 26108.84534375
transcript.pyannote[2010].end 26108.87909375
transcript.pyannote[2011].speaker SPEAKER_09
transcript.pyannote[2011].start 26109.26721875
transcript.pyannote[2011].end 26115.17346875
transcript.pyannote[2012].speaker SPEAKER_09
transcript.pyannote[2012].start 26115.93284375
transcript.pyannote[2012].end 26121.24846875
transcript.pyannote[2013].speaker SPEAKER_09
transcript.pyannote[2013].start 26121.65346875
transcript.pyannote[2013].end 26126.54721875
transcript.pyannote[2014].speaker SPEAKER_09
transcript.pyannote[2014].start 26126.85096875
transcript.pyannote[2014].end 26137.56659375
transcript.pyannote[2015].speaker SPEAKER_09
transcript.pyannote[2015].start 26137.73534375
transcript.pyannote[2015].end 26138.56221875
transcript.pyannote[2016].speaker SPEAKER_09
transcript.pyannote[2016].start 26139.67596875
transcript.pyannote[2016].end 26140.33409375
transcript.pyannote[2017].speaker SPEAKER_09
transcript.pyannote[2017].start 26141.09346875
transcript.pyannote[2017].end 26147.35409375
transcript.pyannote[2018].speaker SPEAKER_09
transcript.pyannote[2018].start 26147.52284375
transcript.pyannote[2018].end 26150.86409375
transcript.pyannote[2019].speaker SPEAKER_22
transcript.pyannote[2019].start 26152.06221875
transcript.pyannote[2019].end 26155.11659375
transcript.pyannote[2020].speaker SPEAKER_22
transcript.pyannote[2020].start 26155.30221875
transcript.pyannote[2020].end 26158.76159375
transcript.pyannote[2021].speaker SPEAKER_21
transcript.pyannote[2021].start 26155.45409375
transcript.pyannote[2021].end 26155.58909375
transcript.pyannote[2022].speaker SPEAKER_22
transcript.pyannote[2022].start 26159.06534375
transcript.pyannote[2022].end 26159.82471875
transcript.pyannote[2023].speaker SPEAKER_22
transcript.pyannote[2023].start 26159.95971875
transcript.pyannote[2023].end 26166.87846875
transcript.pyannote[2024].speaker SPEAKER_09
transcript.pyannote[2024].start 26167.46909375
transcript.pyannote[2024].end 26176.96971875
transcript.pyannote[2025].speaker SPEAKER_09
transcript.pyannote[2025].start 26177.32409375
transcript.pyannote[2025].end 26178.38721875
transcript.pyannote[2026].speaker SPEAKER_09
transcript.pyannote[2026].start 26178.85971875
transcript.pyannote[2026].end 26180.07471875
transcript.pyannote[2027].speaker SPEAKER_09
transcript.pyannote[2027].start 26181.44159375
transcript.pyannote[2027].end 26182.53846875
transcript.pyannote[2028].speaker SPEAKER_09
transcript.pyannote[2028].start 26182.67346875
transcript.pyannote[2028].end 26183.07846875
transcript.pyannote[2029].speaker SPEAKER_09
transcript.pyannote[2029].start 26183.98971875
transcript.pyannote[2029].end 26185.25534375
transcript.pyannote[2030].speaker SPEAKER_09
transcript.pyannote[2030].start 26185.54221875
transcript.pyannote[2030].end 26190.85784375
transcript.pyannote[2031].speaker SPEAKER_29
transcript.pyannote[2031].start 26192.41034375
transcript.pyannote[2031].end 26194.24971875
transcript.pyannote[2032].speaker SPEAKER_29
transcript.pyannote[2032].start 26194.28346875
transcript.pyannote[2032].end 26204.84721875
transcript.pyannote[2033].speaker SPEAKER_09
transcript.pyannote[2033].start 26205.13409375
transcript.pyannote[2033].end 26209.36971875
transcript.pyannote[2034].speaker SPEAKER_09
transcript.pyannote[2034].start 26210.56784375
transcript.pyannote[2034].end 26218.80284375
transcript.pyannote[2035].speaker SPEAKER_09
transcript.pyannote[2035].start 26219.54534375
transcript.pyannote[2035].end 26221.43534375
transcript.pyannote[2036].speaker SPEAKER_09
transcript.pyannote[2036].start 26221.78971875
transcript.pyannote[2036].end 26223.35909375
transcript.pyannote[2037].speaker SPEAKER_09
transcript.pyannote[2037].start 26224.15221875
transcript.pyannote[2037].end 26226.68346875
transcript.pyannote[2038].speaker SPEAKER_09
transcript.pyannote[2038].start 26226.91971875
transcript.pyannote[2038].end 26233.02846875
transcript.pyannote[2039].speaker SPEAKER_09
transcript.pyannote[2039].start 26233.77096875
transcript.pyannote[2039].end 26235.23909375
transcript.pyannote[2040].speaker SPEAKER_09
transcript.pyannote[2040].start 26236.18409375
transcript.pyannote[2040].end 26237.60159375
transcript.pyannote[2041].speaker SPEAKER_09
transcript.pyannote[2041].start 26238.07409375
transcript.pyannote[2041].end 26241.65159375
transcript.pyannote[2042].speaker SPEAKER_22
transcript.pyannote[2042].start 26242.07346875
transcript.pyannote[2042].end 26244.85784375
transcript.pyannote[2043].speaker SPEAKER_09
transcript.pyannote[2043].start 26244.48659375
transcript.pyannote[2043].end 26253.58221875
transcript.pyannote[2044].speaker SPEAKER_21
transcript.pyannote[2044].start 26254.42596875
transcript.pyannote[2044].end 26255.23596875
transcript.pyannote[2045].speaker SPEAKER_09
transcript.pyannote[2045].start 26255.47221875
transcript.pyannote[2045].end 26255.74221875
transcript.pyannote[2046].speaker SPEAKER_21
transcript.pyannote[2046].start 26256.43409375
transcript.pyannote[2046].end 26257.31159375
transcript.pyannote[2047].speaker SPEAKER_09
transcript.pyannote[2047].start 26257.58159375
transcript.pyannote[2047].end 26306.26596875
transcript.pyannote[2048].speaker SPEAKER_09
transcript.pyannote[2048].start 26307.22784375
transcript.pyannote[2048].end 26309.43846875
transcript.pyannote[2049].speaker SPEAKER_29
transcript.pyannote[2049].start 26307.73409375
transcript.pyannote[2049].end 26307.76784375
transcript.pyannote[2050].speaker SPEAKER_29
transcript.pyannote[2050].start 26309.97846875
transcript.pyannote[2050].end 26312.79659375
transcript.pyannote[2051].speaker SPEAKER_09
transcript.pyannote[2051].start 26312.15534375
transcript.pyannote[2051].end 26315.36159375
transcript.pyannote[2052].speaker SPEAKER_29
transcript.pyannote[2052].start 26313.38721875
transcript.pyannote[2052].end 26319.88409375
transcript.pyannote[2053].speaker SPEAKER_09
transcript.pyannote[2053].start 26317.36971875
transcript.pyannote[2053].end 26321.62221875
transcript.pyannote[2054].speaker SPEAKER_09
transcript.pyannote[2054].start 26322.14534375
transcript.pyannote[2054].end 26330.88659375
transcript.pyannote[2055].speaker SPEAKER_09
transcript.pyannote[2055].start 26331.51096875
transcript.pyannote[2055].end 26336.13471875
transcript.pyannote[2056].speaker SPEAKER_29
transcript.pyannote[2056].start 26334.93659375
transcript.pyannote[2056].end 26340.96096875
transcript.pyannote[2057].speaker SPEAKER_09
transcript.pyannote[2057].start 26337.78846875
transcript.pyannote[2057].end 26343.20534375
transcript.pyannote[2058].speaker SPEAKER_09
transcript.pyannote[2058].start 26343.44159375
transcript.pyannote[2058].end 26344.09971875
transcript.pyannote[2059].speaker SPEAKER_09
transcript.pyannote[2059].start 26344.38659375
transcript.pyannote[2059].end 26345.75346875
transcript.pyannote[2060].speaker SPEAKER_09
transcript.pyannote[2060].start 26345.85471875
transcript.pyannote[2060].end 26352.28409375
transcript.pyannote[2061].speaker SPEAKER_09
transcript.pyannote[2061].start 26354.35971875
transcript.pyannote[2061].end 26355.79409375
transcript.pyannote[2062].speaker SPEAKER_09
transcript.pyannote[2062].start 26356.28346875
transcript.pyannote[2062].end 26358.00471875
transcript.pyannote[2063].speaker SPEAKER_09
transcript.pyannote[2063].start 26358.27471875
transcript.pyannote[2063].end 26359.59096875
transcript.pyannote[2064].speaker SPEAKER_09
transcript.pyannote[2064].start 26360.53596875
transcript.pyannote[2064].end 26370.05346875
transcript.pyannote[2065].speaker SPEAKER_29
transcript.pyannote[2065].start 26369.88471875
transcript.pyannote[2065].end 26375.40284375
transcript.pyannote[2066].speaker SPEAKER_09
transcript.pyannote[2066].start 26373.17534375
transcript.pyannote[2066].end 26374.55909375
transcript.pyannote[2067].speaker SPEAKER_09
transcript.pyannote[2067].start 26374.84596875
transcript.pyannote[2067].end 26412.47721875
transcript.pyannote[2068].speaker SPEAKER_22
transcript.pyannote[2068].start 26412.54471875
transcript.pyannote[2068].end 26417.21909375
transcript.pyannote[2069].speaker SPEAKER_30
transcript.pyannote[2069].start 26420.89784375
transcript.pyannote[2069].end 26421.35346875
transcript.pyannote[2070].speaker SPEAKER_30
transcript.pyannote[2070].start 26421.97784375
transcript.pyannote[2070].end 26424.03659375
transcript.pyannote[2071].speaker SPEAKER_30
transcript.pyannote[2071].start 26425.40346875
transcript.pyannote[2071].end 26426.60159375
transcript.pyannote[2072].speaker SPEAKER_30
transcript.pyannote[2072].start 26426.97284375
transcript.pyannote[2072].end 26427.02346875
transcript.pyannote[2073].speaker SPEAKER_30
transcript.pyannote[2073].start 26427.20909375
transcript.pyannote[2073].end 26430.16221875
transcript.pyannote[2074].speaker SPEAKER_20
transcript.pyannote[2074].start 26443.18971875
transcript.pyannote[2074].end 26449.56846875
transcript.pyannote[2075].speaker SPEAKER_30
transcript.pyannote[2075].start 26449.78784375
transcript.pyannote[2075].end 26452.55534375
transcript.pyannote[2076].speaker SPEAKER_20
transcript.pyannote[2076].start 26463.42284375
transcript.pyannote[2076].end 26465.05971875
transcript.pyannote[2077].speaker SPEAKER_20
transcript.pyannote[2077].start 26465.36346875
transcript.pyannote[2077].end 26469.86909375
transcript.pyannote[2078].speaker SPEAKER_20
transcript.pyannote[2078].start 26469.91971875
transcript.pyannote[2078].end 26472.51846875
transcript.pyannote[2079].speaker SPEAKER_20
transcript.pyannote[2079].start 26472.82221875
transcript.pyannote[2079].end 26477.88471875
transcript.pyannote[2080].speaker SPEAKER_20
transcript.pyannote[2080].start 26478.47534375
transcript.pyannote[2080].end 26483.97659375
transcript.pyannote[2081].speaker SPEAKER_20
transcript.pyannote[2081].start 26484.43221875
transcript.pyannote[2081].end 26485.37721875
transcript.pyannote[2082].speaker SPEAKER_20
transcript.pyannote[2082].start 26485.74846875
transcript.pyannote[2082].end 26487.53721875
transcript.pyannote[2083].speaker SPEAKER_20
transcript.pyannote[2083].start 26487.75659375
transcript.pyannote[2083].end 26490.25409375
transcript.pyannote[2084].speaker SPEAKER_20
transcript.pyannote[2084].start 26490.64221875
transcript.pyannote[2084].end 26492.58284375
transcript.pyannote[2085].speaker SPEAKER_20
transcript.pyannote[2085].start 26493.08909375
transcript.pyannote[2085].end 26495.75534375
transcript.pyannote[2086].speaker SPEAKER_20
transcript.pyannote[2086].start 26496.22784375
transcript.pyannote[2086].end 26497.37534375
transcript.pyannote[2087].speaker SPEAKER_20
transcript.pyannote[2087].start 26497.78034375
transcript.pyannote[2087].end 26505.25596875
transcript.pyannote[2088].speaker SPEAKER_20
transcript.pyannote[2088].start 26505.66096875
transcript.pyannote[2088].end 26512.47846875
transcript.pyannote[2089].speaker SPEAKER_20
transcript.pyannote[2089].start 26513.06909375
transcript.pyannote[2089].end 26516.25846875
transcript.pyannote[2090].speaker SPEAKER_20
transcript.pyannote[2090].start 26517.01784375
transcript.pyannote[2090].end 26519.97096875
transcript.pyannote[2091].speaker SPEAKER_20
transcript.pyannote[2091].start 26520.42659375
transcript.pyannote[2091].end 26520.93284375
transcript.pyannote[2092].speaker SPEAKER_20
transcript.pyannote[2092].start 26521.08471875
transcript.pyannote[2092].end 26522.26596875
transcript.pyannote[2093].speaker SPEAKER_20
transcript.pyannote[2093].start 26522.43471875
transcript.pyannote[2093].end 26528.77971875
transcript.pyannote[2094].speaker SPEAKER_20
transcript.pyannote[2094].start 26529.06659375
transcript.pyannote[2094].end 26534.65221875
transcript.pyannote[2095].speaker SPEAKER_20
transcript.pyannote[2095].start 26535.09096875
transcript.pyannote[2095].end 26540.67659375
transcript.pyannote[2096].speaker SPEAKER_20
transcript.pyannote[2096].start 26541.13221875
transcript.pyannote[2096].end 26551.69596875
transcript.pyannote[2097].speaker SPEAKER_20
transcript.pyannote[2097].start 26552.74221875
transcript.pyannote[2097].end 26554.19346875
transcript.pyannote[2098].speaker SPEAKER_20
transcript.pyannote[2098].start 26554.76721875
transcript.pyannote[2098].end 26555.96534375
transcript.pyannote[2099].speaker SPEAKER_22
transcript.pyannote[2099].start 26555.96534375
transcript.pyannote[2099].end 26556.03284375
transcript.pyannote[2100].speaker SPEAKER_20
transcript.pyannote[2100].start 26556.03284375
transcript.pyannote[2100].end 26556.10034375
transcript.pyannote[2101].speaker SPEAKER_22
transcript.pyannote[2101].start 26556.10034375
transcript.pyannote[2101].end 26556.13409375
transcript.pyannote[2102].speaker SPEAKER_22
transcript.pyannote[2102].start 26556.99471875
transcript.pyannote[2102].end 26557.07909375
transcript.pyannote[2103].speaker SPEAKER_22
transcript.pyannote[2103].start 26557.26471875
transcript.pyannote[2103].end 26560.06596875
transcript.pyannote[2104].speaker SPEAKER_22
transcript.pyannote[2104].start 26560.40346875
transcript.pyannote[2104].end 26562.47909375
transcript.pyannote[2105].speaker SPEAKER_22
transcript.pyannote[2105].start 26562.71534375
transcript.pyannote[2105].end 26568.25034375
transcript.pyannote[2106].speaker SPEAKER_22
transcript.pyannote[2106].start 26568.57096875
transcript.pyannote[2106].end 26570.57909375
transcript.pyannote[2107].speaker SPEAKER_22
transcript.pyannote[2107].start 26570.95034375
transcript.pyannote[2107].end 26573.32971875
transcript.pyannote[2108].speaker SPEAKER_22
transcript.pyannote[2108].start 26573.56596875
transcript.pyannote[2108].end 26574.47721875
transcript.pyannote[2109].speaker SPEAKER_22
transcript.pyannote[2109].start 26574.76409375
transcript.pyannote[2109].end 26577.66659375
transcript.pyannote[2110].speaker SPEAKER_22
transcript.pyannote[2110].start 26578.03784375
transcript.pyannote[2110].end 26582.03721875
transcript.pyannote[2111].speaker SPEAKER_20
transcript.pyannote[2111].start 26582.03721875
transcript.pyannote[2111].end 26589.14159375
transcript.pyannote[2112].speaker SPEAKER_20
transcript.pyannote[2112].start 26589.46221875
transcript.pyannote[2112].end 26595.72284375
transcript.pyannote[2113].speaker SPEAKER_20
transcript.pyannote[2113].start 26595.79034375
transcript.pyannote[2113].end 26631.59909375
transcript.pyannote[2114].speaker SPEAKER_20
transcript.pyannote[2114].start 26631.93659375
transcript.pyannote[2114].end 26634.75471875
transcript.pyannote[2115].speaker SPEAKER_20
transcript.pyannote[2115].start 26634.97409375
transcript.pyannote[2115].end 26642.71971875
transcript.pyannote[2116].speaker SPEAKER_20
transcript.pyannote[2116].start 26643.12471875
transcript.pyannote[2116].end 26643.56346875
transcript.pyannote[2117].speaker SPEAKER_20
transcript.pyannote[2117].start 26643.98534375
transcript.pyannote[2117].end 26645.41971875
transcript.pyannote[2118].speaker SPEAKER_20
transcript.pyannote[2118].start 26645.89221875
transcript.pyannote[2118].end 26648.50784375
transcript.pyannote[2119].speaker SPEAKER_20
transcript.pyannote[2119].start 26648.65971875
transcript.pyannote[2119].end 26649.48659375
transcript.pyannote[2120].speaker SPEAKER_20
transcript.pyannote[2120].start 26649.68909375
transcript.pyannote[2120].end 26663.64471875
transcript.pyannote[2121].speaker SPEAKER_20
transcript.pyannote[2121].start 26663.81346875
transcript.pyannote[2121].end 26664.91034375
transcript.pyannote[2122].speaker SPEAKER_20
transcript.pyannote[2122].start 26665.14659375
transcript.pyannote[2122].end 26665.38284375
transcript.pyannote[2123].speaker SPEAKER_20
transcript.pyannote[2123].start 26665.83846875
transcript.pyannote[2123].end 26669.56784375
transcript.pyannote[2124].speaker SPEAKER_20
transcript.pyannote[2124].start 26670.63096875
transcript.pyannote[2124].end 26671.93034375
transcript.pyannote[2125].speaker SPEAKER_20
transcript.pyannote[2125].start 26672.18346875
transcript.pyannote[2125].end 26674.76534375
transcript.pyannote[2126].speaker SPEAKER_31
transcript.pyannote[2126].start 26675.65971875
transcript.pyannote[2126].end 26676.23346875
transcript.pyannote[2127].speaker SPEAKER_31
transcript.pyannote[2127].start 26676.75659375
transcript.pyannote[2127].end 26677.85346875
transcript.pyannote[2128].speaker SPEAKER_31
transcript.pyannote[2128].start 26678.20784375
transcript.pyannote[2128].end 26682.98346875
transcript.pyannote[2129].speaker SPEAKER_31
transcript.pyannote[2129].start 26683.11846875
transcript.pyannote[2129].end 26684.63721875
transcript.pyannote[2130].speaker SPEAKER_31
transcript.pyannote[2130].start 26685.07596875
transcript.pyannote[2130].end 26687.80971875
transcript.pyannote[2131].speaker SPEAKER_31
transcript.pyannote[2131].start 26688.23159375
transcript.pyannote[2131].end 26690.88096875
transcript.pyannote[2132].speaker SPEAKER_31
transcript.pyannote[2132].start 26691.20159375
transcript.pyannote[2132].end 26693.93534375
transcript.pyannote[2133].speaker SPEAKER_31
transcript.pyannote[2133].start 26694.30659375
transcript.pyannote[2133].end 26697.64784375
transcript.pyannote[2134].speaker SPEAKER_31
transcript.pyannote[2134].start 26698.06971875
transcript.pyannote[2134].end 26701.20846875
transcript.pyannote[2135].speaker SPEAKER_31
transcript.pyannote[2135].start 26701.57971875
transcript.pyannote[2135].end 26703.08159375
transcript.pyannote[2136].speaker SPEAKER_31
transcript.pyannote[2136].start 26703.45284375
transcript.pyannote[2136].end 26704.43159375
transcript.pyannote[2137].speaker SPEAKER_31
transcript.pyannote[2137].start 26704.75221875
transcript.pyannote[2137].end 26706.52409375
transcript.pyannote[2138].speaker SPEAKER_31
transcript.pyannote[2138].start 26706.82784375
transcript.pyannote[2138].end 26708.93721875
transcript.pyannote[2139].speaker SPEAKER_31
transcript.pyannote[2139].start 26709.19034375
transcript.pyannote[2139].end 26710.82721875
transcript.pyannote[2140].speaker SPEAKER_31
transcript.pyannote[2140].start 26711.16471875
transcript.pyannote[2140].end 26712.49784375
transcript.pyannote[2141].speaker SPEAKER_20
transcript.pyannote[2141].start 26713.10534375
transcript.pyannote[2141].end 26715.16409375
transcript.pyannote[2142].speaker SPEAKER_20
transcript.pyannote[2142].start 26715.61971875
transcript.pyannote[2142].end 26716.37909375
transcript.pyannote[2143].speaker SPEAKER_20
transcript.pyannote[2143].start 26717.02034375
transcript.pyannote[2143].end 26718.55596875
transcript.pyannote[2144].speaker SPEAKER_20
transcript.pyannote[2144].start 26719.34909375
transcript.pyannote[2144].end 26719.88909375
transcript.pyannote[2145].speaker SPEAKER_20
transcript.pyannote[2145].start 26720.71596875
transcript.pyannote[2145].end 26721.34034375
transcript.pyannote[2146].speaker SPEAKER_20
transcript.pyannote[2146].start 26721.44159375
transcript.pyannote[2146].end 26723.01096875
transcript.pyannote[2147].speaker SPEAKER_20
transcript.pyannote[2147].start 26723.66909375
transcript.pyannote[2147].end 26728.14096875
transcript.pyannote[2148].speaker SPEAKER_20
transcript.pyannote[2148].start 26728.56284375
transcript.pyannote[2148].end 26730.43596875
transcript.pyannote[2149].speaker SPEAKER_20
transcript.pyannote[2149].start 26730.82409375
transcript.pyannote[2149].end 26737.64159375
transcript.pyannote[2150].speaker SPEAKER_20
transcript.pyannote[2150].start 26737.94534375
transcript.pyannote[2150].end 26740.76346875
transcript.pyannote[2151].speaker SPEAKER_20
transcript.pyannote[2151].start 26741.47221875
transcript.pyannote[2151].end 26741.94471875
transcript.pyannote[2152].speaker SPEAKER_20
transcript.pyannote[2152].start 26742.14721875
transcript.pyannote[2152].end 26742.75471875
transcript.pyannote[2153].speaker SPEAKER_20
transcript.pyannote[2153].start 26742.87284375
transcript.pyannote[2153].end 26744.84721875
transcript.pyannote[2154].speaker SPEAKER_20
transcript.pyannote[2154].start 26745.74159375
transcript.pyannote[2154].end 26746.85534375
transcript.pyannote[2155].speaker SPEAKER_22
transcript.pyannote[2155].start 26747.51346875
transcript.pyannote[2155].end 26748.03659375
transcript.pyannote[2156].speaker SPEAKER_20
transcript.pyannote[2156].start 26748.44159375
transcript.pyannote[2156].end 26751.59721875
transcript.pyannote[2157].speaker SPEAKER_20
transcript.pyannote[2157].start 26751.86721875
transcript.pyannote[2157].end 26754.34784375
transcript.pyannote[2158].speaker SPEAKER_22
transcript.pyannote[2158].start 26755.00596875
transcript.pyannote[2158].end 26755.63034375
transcript.pyannote[2159].speaker SPEAKER_22
transcript.pyannote[2159].start 26757.25034375
transcript.pyannote[2159].end 26760.11909375
transcript.pyannote[2160].speaker SPEAKER_20
transcript.pyannote[2160].start 26757.52034375
transcript.pyannote[2160].end 26757.63846875
transcript.pyannote[2161].speaker SPEAKER_20
transcript.pyannote[2161].start 26760.16971875
transcript.pyannote[2161].end 26768.50596875
transcript.pyannote[2162].speaker SPEAKER_20
transcript.pyannote[2162].start 26768.62409375
transcript.pyannote[2162].end 26785.54971875
transcript.pyannote[2163].speaker SPEAKER_20
transcript.pyannote[2163].start 26785.63409375
transcript.pyannote[2163].end 26788.28346875
transcript.pyannote[2164].speaker SPEAKER_20
transcript.pyannote[2164].start 26788.75596875
transcript.pyannote[2164].end 26789.85284375
transcript.pyannote[2165].speaker SPEAKER_20
transcript.pyannote[2165].start 26790.25784375
transcript.pyannote[2165].end 26796.92346875
transcript.pyannote[2166].speaker SPEAKER_20
transcript.pyannote[2166].start 26797.48034375
transcript.pyannote[2166].end 26800.92284375
transcript.pyannote[2167].speaker SPEAKER_20
transcript.pyannote[2167].start 26800.93971875
transcript.pyannote[2167].end 26802.61034375
transcript.pyannote[2168].speaker SPEAKER_20
transcript.pyannote[2168].start 26803.06596875
transcript.pyannote[2168].end 26803.96034375
transcript.pyannote[2169].speaker SPEAKER_20
transcript.pyannote[2169].start 26804.78721875
transcript.pyannote[2169].end 26806.72784375
transcript.pyannote[2170].speaker SPEAKER_20
transcript.pyannote[2170].start 26807.33534375
transcript.pyannote[2170].end 26809.68096875
transcript.pyannote[2171].speaker SPEAKER_20
transcript.pyannote[2171].start 26809.98471875
transcript.pyannote[2171].end 26811.65534375
transcript.pyannote[2172].speaker SPEAKER_20
transcript.pyannote[2172].start 26812.54971875
transcript.pyannote[2172].end 26813.49471875
transcript.pyannote[2173].speaker SPEAKER_20
transcript.pyannote[2173].start 26814.10221875
transcript.pyannote[2173].end 26814.50721875
transcript.pyannote[2174].speaker SPEAKER_20
transcript.pyannote[2174].start 26814.86159375
transcript.pyannote[2174].end 26818.10159375
transcript.pyannote[2175].speaker SPEAKER_20
transcript.pyannote[2175].start 26819.01284375
transcript.pyannote[2175].end 26824.64909375
transcript.pyannote[2176].speaker SPEAKER_20
transcript.pyannote[2176].start 26825.77971875
transcript.pyannote[2176].end 26826.58971875
transcript.pyannote[2177].speaker SPEAKER_20
transcript.pyannote[2177].start 26827.39971875
transcript.pyannote[2177].end 26829.61034375
transcript.pyannote[2178].speaker SPEAKER_20
transcript.pyannote[2178].start 26829.93096875
transcript.pyannote[2178].end 26833.94721875
transcript.pyannote[2179].speaker SPEAKER_20
transcript.pyannote[2179].start 26834.63909375
transcript.pyannote[2179].end 26836.46159375
transcript.pyannote[2180].speaker SPEAKER_20
transcript.pyannote[2180].start 26836.90034375
transcript.pyannote[2180].end 26839.36409375
transcript.pyannote[2181].speaker SPEAKER_20
transcript.pyannote[2181].start 26839.68471875
transcript.pyannote[2181].end 26842.01346875
transcript.pyannote[2182].speaker SPEAKER_20
transcript.pyannote[2182].start 26843.27909375
transcript.pyannote[2182].end 26852.81346875
transcript.pyannote[2183].speaker SPEAKER_20
transcript.pyannote[2183].start 26853.38721875
transcript.pyannote[2183].end 26856.50909375
transcript.pyannote[2184].speaker SPEAKER_20
transcript.pyannote[2184].start 26856.96471875
transcript.pyannote[2184].end 26872.97909375
transcript.pyannote[2185].speaker SPEAKER_20
transcript.pyannote[2185].start 26873.11409375
transcript.pyannote[2185].end 26875.91534375
transcript.pyannote[2186].speaker SPEAKER_20
transcript.pyannote[2186].start 26876.15159375
transcript.pyannote[2186].end 26876.84346875
transcript.pyannote[2187].speaker SPEAKER_20
transcript.pyannote[2187].start 26878.09221875
transcript.pyannote[2187].end 26879.25659375
transcript.pyannote[2188].speaker SPEAKER_29
transcript.pyannote[2188].start 26879.67846875
transcript.pyannote[2188].end 26881.68659375
transcript.pyannote[2189].speaker SPEAKER_20
transcript.pyannote[2189].start 26881.80471875
transcript.pyannote[2189].end 26883.61034375
transcript.pyannote[2190].speaker SPEAKER_20
transcript.pyannote[2190].start 26883.84659375
transcript.pyannote[2190].end 26884.75784375
transcript.pyannote[2191].speaker SPEAKER_29
transcript.pyannote[2191].start 26885.12909375
transcript.pyannote[2191].end 26885.75346875
transcript.pyannote[2192].speaker SPEAKER_20
transcript.pyannote[2192].start 26885.65221875
transcript.pyannote[2192].end 26887.25534375
transcript.pyannote[2193].speaker SPEAKER_25
transcript.pyannote[2193].start 26885.75346875
transcript.pyannote[2193].end 26885.87159375
transcript.pyannote[2194].speaker SPEAKER_20
transcript.pyannote[2194].start 26888.08221875
transcript.pyannote[2194].end 26890.96784375
transcript.pyannote[2195].speaker SPEAKER_20
transcript.pyannote[2195].start 26891.25471875
transcript.pyannote[2195].end 26893.46534375
transcript.pyannote[2196].speaker SPEAKER_29
transcript.pyannote[2196].start 26894.30909375
transcript.pyannote[2196].end 26894.32596875
transcript.pyannote[2197].speaker SPEAKER_20
transcript.pyannote[2197].start 26894.32596875
transcript.pyannote[2197].end 26896.31721875
transcript.pyannote[2198].speaker SPEAKER_29
transcript.pyannote[2198].start 26894.34284375
transcript.pyannote[2198].end 26901.46409375
transcript.pyannote[2199].speaker SPEAKER_20
transcript.pyannote[2199].start 26899.37159375
transcript.pyannote[2199].end 26899.86096875
transcript.pyannote[2200].speaker SPEAKER_20
transcript.pyannote[2200].start 26900.94096875
transcript.pyannote[2200].end 26905.51409375
transcript.pyannote[2201].speaker SPEAKER_29
transcript.pyannote[2201].start 26902.72971875
transcript.pyannote[2201].end 26903.10096875
transcript.pyannote[2202].speaker SPEAKER_20
transcript.pyannote[2202].start 26905.96971875
transcript.pyannote[2202].end 26908.70346875
transcript.pyannote[2203].speaker SPEAKER_20
transcript.pyannote[2203].start 26908.92284375
transcript.pyannote[2203].end 26911.48784375
transcript.pyannote[2204].speaker SPEAKER_20
transcript.pyannote[2204].start 26911.58909375
transcript.pyannote[2204].end 26913.02346875
transcript.pyannote[2205].speaker SPEAKER_20
transcript.pyannote[2205].start 26913.14159375
transcript.pyannote[2205].end 26915.14971875
transcript.pyannote[2206].speaker SPEAKER_20
transcript.pyannote[2206].start 26915.45346875
transcript.pyannote[2206].end 26916.93846875
transcript.pyannote[2207].speaker SPEAKER_20
transcript.pyannote[2207].start 26917.30971875
transcript.pyannote[2207].end 26919.21659375
transcript.pyannote[2208].speaker SPEAKER_20
transcript.pyannote[2208].start 26919.41909375
transcript.pyannote[2208].end 26920.61721875
transcript.pyannote[2209].speaker SPEAKER_20
transcript.pyannote[2209].start 26921.17409375
transcript.pyannote[2209].end 26923.31721875
transcript.pyannote[2210].speaker SPEAKER_20
transcript.pyannote[2210].start 26923.78971875
transcript.pyannote[2210].end 26924.68409375
transcript.pyannote[2211].speaker SPEAKER_20
transcript.pyannote[2211].start 26924.76846875
transcript.pyannote[2211].end 26925.52784375
transcript.pyannote[2212].speaker SPEAKER_20
transcript.pyannote[2212].start 26925.71346875
transcript.pyannote[2212].end 26927.08034375
transcript.pyannote[2213].speaker SPEAKER_20
transcript.pyannote[2213].start 26927.94096875
transcript.pyannote[2213].end 26930.53971875
transcript.pyannote[2214].speaker SPEAKER_20
transcript.pyannote[2214].start 26930.97846875
transcript.pyannote[2214].end 26933.03721875
transcript.pyannote[2215].speaker SPEAKER_20
transcript.pyannote[2215].start 26934.16784375
transcript.pyannote[2215].end 26934.72471875
transcript.pyannote[2216].speaker SPEAKER_25
transcript.pyannote[2216].start 26935.06221875
transcript.pyannote[2216].end 26935.34909375
transcript.pyannote[2217].speaker SPEAKER_20
transcript.pyannote[2217].start 26935.21409375
transcript.pyannote[2217].end 26947.88721875
transcript.pyannote[2218].speaker SPEAKER_29
transcript.pyannote[2218].start 26947.88721875
transcript.pyannote[2218].end 26958.43409375
transcript.pyannote[2219].speaker SPEAKER_20
transcript.pyannote[2219].start 26953.08471875
transcript.pyannote[2219].end 26953.10159375
transcript.pyannote[2220].speaker SPEAKER_25
transcript.pyannote[2220].start 26953.10159375
transcript.pyannote[2220].end 26953.45596875
transcript.pyannote[2221].speaker SPEAKER_29
transcript.pyannote[2221].start 26958.82221875
transcript.pyannote[2221].end 26964.61034375
transcript.pyannote[2222].speaker SPEAKER_20
transcript.pyannote[2222].start 26963.68221875
transcript.pyannote[2222].end 26982.24471875
transcript.pyannote[2223].speaker SPEAKER_29
transcript.pyannote[2223].start 26981.43471875
transcript.pyannote[2223].end 26990.09159375
transcript.pyannote[2224].speaker SPEAKER_20
transcript.pyannote[2224].start 26988.10034375
transcript.pyannote[2224].end 26996.03159375
transcript.pyannote[2225].speaker SPEAKER_20
transcript.pyannote[2225].start 26996.48721875
transcript.pyannote[2225].end 27000.35159375
transcript.pyannote[2226].speaker SPEAKER_20
transcript.pyannote[2226].start 27001.19534375
transcript.pyannote[2226].end 27010.89846875
transcript.pyannote[2227].speaker SPEAKER_20
transcript.pyannote[2227].start 27010.96596875
transcript.pyannote[2227].end 27012.58596875
transcript.pyannote[2228].speaker SPEAKER_22
transcript.pyannote[2228].start 27013.85159375
transcript.pyannote[2228].end 27016.26471875
transcript.pyannote[2229].speaker SPEAKER_22
transcript.pyannote[2229].start 27016.56846875
transcript.pyannote[2229].end 27022.18784375
transcript.pyannote[2230].speaker SPEAKER_20
transcript.pyannote[2230].start 27021.47909375
transcript.pyannote[2230].end 27030.60846875
transcript.pyannote[2231].speaker SPEAKER_22
transcript.pyannote[2231].start 27023.55471875
transcript.pyannote[2231].end 27024.22971875
transcript.pyannote[2232].speaker SPEAKER_22
transcript.pyannote[2232].start 27029.71409375
transcript.pyannote[2232].end 27030.15284375
transcript.pyannote[2233].speaker SPEAKER_22
transcript.pyannote[2233].start 27030.60846875
transcript.pyannote[2233].end 27032.65034375
transcript.pyannote[2234].speaker SPEAKER_22
transcript.pyannote[2234].start 27033.10596875
transcript.pyannote[2234].end 27037.37534375
transcript.pyannote[2235].speaker SPEAKER_20
transcript.pyannote[2235].start 27034.45596875
transcript.pyannote[2235].end 27036.04221875
transcript.pyannote[2236].speaker SPEAKER_20
transcript.pyannote[2236].start 27036.78471875
transcript.pyannote[2236].end 27039.53534375
transcript.pyannote[2237].speaker SPEAKER_22
transcript.pyannote[2237].start 27039.95721875
transcript.pyannote[2237].end 27040.07534375
transcript.pyannote[2238].speaker SPEAKER_20
transcript.pyannote[2238].start 27040.07534375
transcript.pyannote[2238].end 27041.52659375
transcript.pyannote[2239].speaker SPEAKER_20
transcript.pyannote[2239].start 27042.10034375
transcript.pyannote[2239].end 27045.20534375
transcript.pyannote[2240].speaker SPEAKER_25
transcript.pyannote[2240].start 27045.30659375
transcript.pyannote[2240].end 27046.13346875
transcript.pyannote[2241].speaker SPEAKER_20
transcript.pyannote[2241].start 27046.03221875
transcript.pyannote[2241].end 27050.25096875
transcript.pyannote[2242].speaker SPEAKER_20
transcript.pyannote[2242].start 27050.72346875
transcript.pyannote[2242].end 27051.80346875
transcript.pyannote[2243].speaker SPEAKER_20
transcript.pyannote[2243].start 27052.41096875
transcript.pyannote[2243].end 27052.95096875
transcript.pyannote[2244].speaker SPEAKER_20
transcript.pyannote[2244].start 27053.33909375
transcript.pyannote[2244].end 27054.43596875
transcript.pyannote[2245].speaker SPEAKER_20
transcript.pyannote[2245].start 27055.07721875
transcript.pyannote[2245].end 27056.61284375
transcript.pyannote[2246].speaker SPEAKER_20
transcript.pyannote[2246].start 27056.96721875
transcript.pyannote[2246].end 27062.24909375
transcript.pyannote[2247].speaker SPEAKER_20
transcript.pyannote[2247].start 27062.53596875
transcript.pyannote[2247].end 27064.88159375
transcript.pyannote[2248].speaker SPEAKER_20
transcript.pyannote[2248].start 27065.28659375
transcript.pyannote[2248].end 27070.65284375
transcript.pyannote[2249].speaker SPEAKER_20
transcript.pyannote[2249].start 27071.04096875
transcript.pyannote[2249].end 27073.30221875
transcript.pyannote[2250].speaker SPEAKER_20
transcript.pyannote[2250].start 27073.40346875
transcript.pyannote[2250].end 27074.38221875
transcript.pyannote[2251].speaker SPEAKER_20
transcript.pyannote[2251].start 27075.22596875
transcript.pyannote[2251].end 27075.59721875
transcript.pyannote[2252].speaker SPEAKER_20
transcript.pyannote[2252].start 27076.08659375
transcript.pyannote[2252].end 27079.34346875
transcript.pyannote[2253].speaker SPEAKER_20
transcript.pyannote[2253].start 27079.69784375
transcript.pyannote[2253].end 27082.07721875
transcript.pyannote[2254].speaker SPEAKER_20
transcript.pyannote[2254].start 27082.71846875
transcript.pyannote[2254].end 27097.53471875
transcript.pyannote[2255].speaker SPEAKER_20
transcript.pyannote[2255].start 27098.81721875
transcript.pyannote[2255].end 27100.62284375
transcript.pyannote[2256].speaker SPEAKER_20
transcript.pyannote[2256].start 27100.72409375
transcript.pyannote[2256].end 27101.63534375
transcript.pyannote[2257].speaker SPEAKER_20
transcript.pyannote[2257].start 27102.39471875
transcript.pyannote[2257].end 27103.01909375
transcript.pyannote[2258].speaker SPEAKER_20
transcript.pyannote[2258].start 27103.45784375
transcript.pyannote[2258].end 27105.65159375
transcript.pyannote[2259].speaker SPEAKER_20
transcript.pyannote[2259].start 27105.97221875
transcript.pyannote[2259].end 27106.61346875
transcript.pyannote[2260].speaker SPEAKER_20
transcript.pyannote[2260].start 27107.28846875
transcript.pyannote[2260].end 27109.81971875
transcript.pyannote[2261].speaker SPEAKER_20
transcript.pyannote[2261].start 27110.69721875
transcript.pyannote[2261].end 27111.99659375
transcript.pyannote[2262].speaker SPEAKER_20
transcript.pyannote[2262].start 27113.83596875
transcript.pyannote[2262].end 27118.39221875
transcript.pyannote[2263].speaker SPEAKER_20
transcript.pyannote[2263].start 27118.99971875
transcript.pyannote[2263].end 27121.26096875
transcript.pyannote[2264].speaker SPEAKER_20
transcript.pyannote[2264].start 27122.20596875
transcript.pyannote[2264].end 27126.67784375
transcript.pyannote[2265].speaker SPEAKER_20
transcript.pyannote[2265].start 27127.16721875
transcript.pyannote[2265].end 27129.61409375
transcript.pyannote[2266].speaker SPEAKER_20
transcript.pyannote[2266].start 27130.01909375
transcript.pyannote[2266].end 27131.85846875
transcript.pyannote[2267].speaker SPEAKER_20
transcript.pyannote[2267].start 27132.51659375
transcript.pyannote[2267].end 27133.39409375
transcript.pyannote[2268].speaker SPEAKER_20
transcript.pyannote[2268].start 27133.52909375
transcript.pyannote[2268].end 27134.06909375
transcript.pyannote[2269].speaker SPEAKER_20
transcript.pyannote[2269].start 27134.65971875
transcript.pyannote[2269].end 27136.76909375
transcript.pyannote[2270].speaker SPEAKER_20
transcript.pyannote[2270].start 27137.42721875
transcript.pyannote[2270].end 27138.55784375
transcript.pyannote[2271].speaker SPEAKER_20
transcript.pyannote[2271].start 27138.89534375
transcript.pyannote[2271].end 27139.89096875
transcript.pyannote[2272].speaker SPEAKER_20
transcript.pyannote[2272].start 27141.51096875
transcript.pyannote[2272].end 27142.99596875
transcript.pyannote[2273].speaker SPEAKER_20
transcript.pyannote[2273].start 27143.38409375
transcript.pyannote[2273].end 27144.73409375
transcript.pyannote[2274].speaker SPEAKER_20
transcript.pyannote[2274].start 27145.17284375
transcript.pyannote[2274].end 27145.93221875
transcript.pyannote[2275].speaker SPEAKER_20
transcript.pyannote[2275].start 27146.57346875
transcript.pyannote[2275].end 27148.88534375
transcript.pyannote[2276].speaker SPEAKER_20
transcript.pyannote[2276].start 27148.96971875
transcript.pyannote[2276].end 27154.84221875
transcript.pyannote[2277].speaker SPEAKER_20
transcript.pyannote[2277].start 27155.16284375
transcript.pyannote[2277].end 27159.98909375
transcript.pyannote[2278].speaker SPEAKER_20
transcript.pyannote[2278].start 27160.29284375
transcript.pyannote[2278].end 27160.84971875
transcript.pyannote[2279].speaker SPEAKER_20
transcript.pyannote[2279].start 27161.65971875
transcript.pyannote[2279].end 27164.62971875
transcript.pyannote[2280].speaker SPEAKER_20
transcript.pyannote[2280].start 27166.68846875
transcript.pyannote[2280].end 27168.34221875
transcript.pyannote[2281].speaker SPEAKER_20
transcript.pyannote[2281].start 27169.06784375
transcript.pyannote[2281].end 27183.41159375
transcript.pyannote[2282].speaker SPEAKER_29
transcript.pyannote[2282].start 27183.91784375
transcript.pyannote[2282].end 27185.13284375
transcript.pyannote[2283].speaker SPEAKER_20
transcript.pyannote[2283].start 27185.60534375
transcript.pyannote[2283].end 27187.76534375
transcript.pyannote[2284].speaker SPEAKER_29
transcript.pyannote[2284].start 27188.17034375
transcript.pyannote[2284].end 27198.19409375
transcript.pyannote[2285].speaker SPEAKER_20
transcript.pyannote[2285].start 27198.24471875
transcript.pyannote[2285].end 27199.99971875
transcript.pyannote[2286].speaker SPEAKER_20
transcript.pyannote[2286].start 27201.33284375
transcript.pyannote[2286].end 27202.83471875
transcript.pyannote[2287].speaker SPEAKER_29
transcript.pyannote[2287].start 27202.83471875
transcript.pyannote[2287].end 27203.13846875
transcript.pyannote[2288].speaker SPEAKER_29
transcript.pyannote[2288].start 27203.76284375
transcript.pyannote[2288].end 27205.41659375
transcript.pyannote[2289].speaker SPEAKER_20
transcript.pyannote[2289].start 27205.41659375
transcript.pyannote[2289].end 27208.08284375
transcript.pyannote[2290].speaker SPEAKER_29
transcript.pyannote[2290].start 27209.17971875
transcript.pyannote[2290].end 27212.57159375
transcript.pyannote[2291].speaker SPEAKER_20
transcript.pyannote[2291].start 27211.99784375
transcript.pyannote[2291].end 27222.98346875
transcript.pyannote[2292].speaker SPEAKER_29
transcript.pyannote[2292].start 27220.85721875
transcript.pyannote[2292].end 27230.37471875
transcript.pyannote[2293].speaker SPEAKER_20
transcript.pyannote[2293].start 27225.61596875
transcript.pyannote[2293].end 27226.96596875
transcript.pyannote[2294].speaker SPEAKER_20
transcript.pyannote[2294].start 27231.58971875
transcript.pyannote[2294].end 27236.50034375
transcript.pyannote[2295].speaker SPEAKER_20
transcript.pyannote[2295].start 27237.46221875
transcript.pyannote[2295].end 27259.56846875
transcript.pyannote[2296].speaker SPEAKER_20
transcript.pyannote[2296].start 27260.27721875
transcript.pyannote[2296].end 27261.13784375
transcript.pyannote[2297].speaker SPEAKER_20
transcript.pyannote[2297].start 27261.79596875
transcript.pyannote[2297].end 27270.21659375
transcript.pyannote[2298].speaker SPEAKER_20
transcript.pyannote[2298].start 27270.45284375
transcript.pyannote[2298].end 27271.68471875
transcript.pyannote[2299].speaker SPEAKER_20
transcript.pyannote[2299].start 27272.08971875
transcript.pyannote[2299].end 27276.84846875
transcript.pyannote[2300].speaker SPEAKER_20
transcript.pyannote[2300].start 27277.72596875
transcript.pyannote[2300].end 27278.53596875
transcript.pyannote[2301].speaker SPEAKER_20
transcript.pyannote[2301].start 27279.27846875
transcript.pyannote[2301].end 27280.02096875
transcript.pyannote[2302].speaker SPEAKER_20
transcript.pyannote[2302].start 27280.91534375
transcript.pyannote[2302].end 27283.78409375
transcript.pyannote[2303].speaker SPEAKER_20
transcript.pyannote[2303].start 27284.29034375
transcript.pyannote[2303].end 27285.45471875
transcript.pyannote[2304].speaker SPEAKER_20
transcript.pyannote[2304].start 27285.97784375
transcript.pyannote[2304].end 27288.45846875
transcript.pyannote[2305].speaker SPEAKER_20
transcript.pyannote[2305].start 27288.86346875
transcript.pyannote[2305].end 27292.72784375
transcript.pyannote[2306].speaker SPEAKER_20
transcript.pyannote[2306].start 27293.18346875
transcript.pyannote[2306].end 27293.47034375
transcript.pyannote[2307].speaker SPEAKER_20
transcript.pyannote[2307].start 27293.85846875
transcript.pyannote[2307].end 27298.09409375
transcript.pyannote[2308].speaker SPEAKER_20
transcript.pyannote[2308].start 27298.39784375
transcript.pyannote[2308].end 27308.53971875
transcript.pyannote[2309].speaker SPEAKER_20
transcript.pyannote[2309].start 27309.58596875
transcript.pyannote[2309].end 27310.64909375
transcript.pyannote[2310].speaker SPEAKER_22
transcript.pyannote[2310].start 27311.23971875
transcript.pyannote[2310].end 27318.04034375
transcript.pyannote[2311].speaker SPEAKER_22
transcript.pyannote[2311].start 27318.24284375
transcript.pyannote[2311].end 27320.89221875
transcript.pyannote[2312].speaker SPEAKER_22
transcript.pyannote[2312].start 27321.04409375
transcript.pyannote[2312].end 27325.27971875
transcript.pyannote[2313].speaker SPEAKER_22
transcript.pyannote[2313].start 27325.65096875
transcript.pyannote[2313].end 27330.49409375
transcript.pyannote[2314].speaker SPEAKER_20
transcript.pyannote[2314].start 27330.66284375
transcript.pyannote[2314].end 27331.48971875
transcript.pyannote[2315].speaker SPEAKER_20
transcript.pyannote[2315].start 27331.86096875
transcript.pyannote[2315].end 27335.40471875
transcript.pyannote[2316].speaker SPEAKER_20
transcript.pyannote[2316].start 27335.62409375
transcript.pyannote[2316].end 27338.23971875
transcript.pyannote[2317].speaker SPEAKER_20
transcript.pyannote[2317].start 27338.52659375
transcript.pyannote[2317].end 27340.75409375
transcript.pyannote[2318].speaker SPEAKER_20
transcript.pyannote[2318].start 27341.17596875
transcript.pyannote[2318].end 27342.13784375
transcript.pyannote[2319].speaker SPEAKER_20
transcript.pyannote[2319].start 27342.39096875
transcript.pyannote[2319].end 27343.38659375
transcript.pyannote[2320].speaker SPEAKER_20
transcript.pyannote[2320].start 27343.67346875
transcript.pyannote[2320].end 27345.96846875
transcript.pyannote[2321].speaker SPEAKER_20
transcript.pyannote[2321].start 27346.60971875
transcript.pyannote[2321].end 27363.61971875
transcript.pyannote[2322].speaker SPEAKER_22
transcript.pyannote[2322].start 27362.42159375
transcript.pyannote[2322].end 27362.64096875
transcript.pyannote[2323].speaker SPEAKER_30
transcript.pyannote[2323].start 27362.64096875
transcript.pyannote[2323].end 27363.14721875
transcript.pyannote[2324].speaker SPEAKER_22
transcript.pyannote[2324].start 27363.14721875
transcript.pyannote[2324].end 27365.94846875
transcript.pyannote[2325].speaker SPEAKER_30
transcript.pyannote[2325].start 27363.61971875
transcript.pyannote[2325].end 27363.73784375
transcript.pyannote[2326].speaker SPEAKER_20
transcript.pyannote[2326].start 27365.30721875
transcript.pyannote[2326].end 27365.49284375
transcript.pyannote[2327].speaker SPEAKER_30
transcript.pyannote[2327].start 27365.49284375
transcript.pyannote[2327].end 27365.86409375
transcript.pyannote[2328].speaker SPEAKER_30
transcript.pyannote[2328].start 27366.20159375
transcript.pyannote[2328].end 27368.95221875
transcript.pyannote[2329].speaker SPEAKER_30
transcript.pyannote[2329].start 27371.09534375
transcript.pyannote[2329].end 27376.15784375
transcript.pyannote[2330].speaker SPEAKER_30
transcript.pyannote[2330].start 27754.29284375
transcript.pyannote[2330].end 27758.61284375
transcript.pyannote[2331].speaker SPEAKER_26
transcript.pyannote[2331].start 27770.79659375
transcript.pyannote[2331].end 27776.02784375
transcript.pyannote[2332].speaker SPEAKER_30
transcript.pyannote[2332].start 27776.02784375
transcript.pyannote[2332].end 27776.26409375
transcript.pyannote[2333].speaker SPEAKER_26
transcript.pyannote[2333].start 27776.26409375
transcript.pyannote[2333].end 27776.31471875
transcript.pyannote[2334].speaker SPEAKER_26
transcript.pyannote[2334].start 27777.46221875
transcript.pyannote[2334].end 27777.47909375
transcript.pyannote[2335].speaker SPEAKER_30
transcript.pyannote[2335].start 27777.47909375
transcript.pyannote[2335].end 27778.76159375
transcript.pyannote[2336].speaker SPEAKER_26
transcript.pyannote[2336].start 27787.18221875
transcript.pyannote[2336].end 27789.10596875
transcript.pyannote[2337].speaker SPEAKER_26
transcript.pyannote[2337].start 27789.76409375
transcript.pyannote[2337].end 27793.02096875
transcript.pyannote[2338].speaker SPEAKER_26
transcript.pyannote[2338].start 27793.67909375
transcript.pyannote[2338].end 27795.26534375
transcript.pyannote[2339].speaker SPEAKER_26
transcript.pyannote[2339].start 27795.70409375
transcript.pyannote[2339].end 27797.89784375
transcript.pyannote[2340].speaker SPEAKER_26
transcript.pyannote[2340].start 27798.85971875
transcript.pyannote[2340].end 27800.56409375
transcript.pyannote[2341].speaker SPEAKER_26
transcript.pyannote[2341].start 27800.98596875
transcript.pyannote[2341].end 27802.90971875
transcript.pyannote[2342].speaker SPEAKER_26
transcript.pyannote[2342].start 27803.41596875
transcript.pyannote[2342].end 27804.74909375
transcript.pyannote[2343].speaker SPEAKER_26
transcript.pyannote[2343].start 27804.81659375
transcript.pyannote[2343].end 27807.53346875
transcript.pyannote[2344].speaker SPEAKER_26
transcript.pyannote[2344].start 27808.51221875
transcript.pyannote[2344].end 27812.88284375
transcript.pyannote[2345].speaker SPEAKER_26
transcript.pyannote[2345].start 27813.50721875
transcript.pyannote[2345].end 27818.06346875
transcript.pyannote[2346].speaker SPEAKER_26
transcript.pyannote[2346].start 27818.63721875
transcript.pyannote[2346].end 27820.61159375
transcript.pyannote[2347].speaker SPEAKER_26
transcript.pyannote[2347].start 27821.08409375
transcript.pyannote[2347].end 27823.26096875
transcript.pyannote[2348].speaker SPEAKER_26
transcript.pyannote[2348].start 27823.66596875
transcript.pyannote[2348].end 27826.83846875
transcript.pyannote[2349].speaker SPEAKER_26
transcript.pyannote[2349].start 27827.19284375
transcript.pyannote[2349].end 27832.10346875
transcript.pyannote[2350].speaker SPEAKER_26
transcript.pyannote[2350].start 27832.86284375
transcript.pyannote[2350].end 27838.80284375
transcript.pyannote[2351].speaker SPEAKER_26
transcript.pyannote[2351].start 27838.87034375
transcript.pyannote[2351].end 27842.09346875
transcript.pyannote[2352].speaker SPEAKER_26
transcript.pyannote[2352].start 27842.65034375
transcript.pyannote[2352].end 27843.78096875
transcript.pyannote[2353].speaker SPEAKER_26
transcript.pyannote[2353].start 27844.11846875
transcript.pyannote[2353].end 27848.77596875
transcript.pyannote[2354].speaker SPEAKER_26
transcript.pyannote[2354].start 27849.50159375
transcript.pyannote[2354].end 27855.40784375
transcript.pyannote[2355].speaker SPEAKER_26
transcript.pyannote[2355].start 27856.20096875
transcript.pyannote[2355].end 27857.36534375
transcript.pyannote[2356].speaker SPEAKER_26
transcript.pyannote[2356].start 27858.71534375
transcript.pyannote[2356].end 27859.03596875
transcript.pyannote[2357].speaker SPEAKER_26
transcript.pyannote[2357].start 27859.74471875
transcript.pyannote[2357].end 27862.39409375
transcript.pyannote[2358].speaker SPEAKER_26
transcript.pyannote[2358].start 27862.88346875
transcript.pyannote[2358].end 27865.61721875
transcript.pyannote[2359].speaker SPEAKER_26
transcript.pyannote[2359].start 27866.03909375
transcript.pyannote[2359].end 27873.27846875
transcript.pyannote[2360].speaker SPEAKER_26
transcript.pyannote[2360].start 27874.05471875
transcript.pyannote[2360].end 27879.35346875
transcript.pyannote[2361].speaker SPEAKER_26
transcript.pyannote[2361].start 27879.82596875
transcript.pyannote[2361].end 27886.76159375
transcript.pyannote[2362].speaker SPEAKER_26
transcript.pyannote[2362].start 27887.25096875
transcript.pyannote[2362].end 27891.28409375
transcript.pyannote[2363].speaker SPEAKER_26
transcript.pyannote[2363].start 27891.62159375
transcript.pyannote[2363].end 27894.27096875
transcript.pyannote[2364].speaker SPEAKER_26
transcript.pyannote[2364].start 27894.86159375
transcript.pyannote[2364].end 27896.44784375
transcript.pyannote[2365].speaker SPEAKER_26
transcript.pyannote[2365].start 27896.68409375
transcript.pyannote[2365].end 27899.31659375
transcript.pyannote[2366].speaker SPEAKER_26
transcript.pyannote[2366].start 27899.55284375
transcript.pyannote[2366].end 27901.91534375
transcript.pyannote[2367].speaker SPEAKER_26
transcript.pyannote[2367].start 27901.96596875
transcript.pyannote[2367].end 27907.14659375
transcript.pyannote[2368].speaker SPEAKER_26
transcript.pyannote[2368].start 27907.88909375
transcript.pyannote[2368].end 27909.64409375
transcript.pyannote[2369].speaker SPEAKER_26
transcript.pyannote[2369].start 27910.25159375
transcript.pyannote[2369].end 27913.42409375
transcript.pyannote[2370].speaker SPEAKER_26
transcript.pyannote[2370].start 27913.99784375
transcript.pyannote[2370].end 27919.49909375
transcript.pyannote[2371].speaker SPEAKER_26
transcript.pyannote[2371].start 27920.05596875
transcript.pyannote[2371].end 27921.64221875
transcript.pyannote[2372].speaker SPEAKER_26
transcript.pyannote[2372].start 27922.04721875
transcript.pyannote[2372].end 27925.70909375
transcript.pyannote[2373].speaker SPEAKER_26
transcript.pyannote[2373].start 27926.02971875
transcript.pyannote[2373].end 27927.86909375
transcript.pyannote[2374].speaker SPEAKER_26
transcript.pyannote[2374].start 27928.47659375
transcript.pyannote[2374].end 27931.51409375
transcript.pyannote[2375].speaker SPEAKER_26
transcript.pyannote[2375].start 27932.08784375
transcript.pyannote[2375].end 27934.56846875
transcript.pyannote[2376].speaker SPEAKER_26
transcript.pyannote[2376].start 27934.97346875
transcript.pyannote[2376].end 27944.92971875
transcript.pyannote[2377].speaker SPEAKER_26
transcript.pyannote[2377].start 27945.52034375
transcript.pyannote[2377].end 27948.01784375
transcript.pyannote[2378].speaker SPEAKER_26
transcript.pyannote[2378].start 27948.43971875
transcript.pyannote[2378].end 27953.50221875
transcript.pyannote[2379].speaker SPEAKER_26
transcript.pyannote[2379].start 27953.95784375
transcript.pyannote[2379].end 27969.85409375
transcript.pyannote[2380].speaker SPEAKER_26
transcript.pyannote[2380].start 27970.02284375
transcript.pyannote[2380].end 27978.00471875
transcript.pyannote[2381].speaker SPEAKER_26
transcript.pyannote[2381].start 27978.59534375
transcript.pyannote[2381].end 27981.91971875
transcript.pyannote[2382].speaker SPEAKER_26
transcript.pyannote[2382].start 27982.62846875
transcript.pyannote[2382].end 27985.10909375
transcript.pyannote[2383].speaker SPEAKER_26
transcript.pyannote[2383].start 27985.86846875
transcript.pyannote[2383].end 27987.94409375
transcript.pyannote[2384].speaker SPEAKER_26
transcript.pyannote[2384].start 27988.55159375
transcript.pyannote[2384].end 27990.67784375
transcript.pyannote[2385].speaker SPEAKER_26
transcript.pyannote[2385].start 27990.93096875
transcript.pyannote[2385].end 27995.99346875
transcript.pyannote[2386].speaker SPEAKER_26
transcript.pyannote[2386].start 27996.55034375
transcript.pyannote[2386].end 28001.10659375
transcript.pyannote[2387].speaker SPEAKER_26
transcript.pyannote[2387].start 28001.51159375
transcript.pyannote[2387].end 28004.16096875
transcript.pyannote[2388].speaker SPEAKER_26
transcript.pyannote[2388].start 28004.58284375
transcript.pyannote[2388].end 28026.87471875
transcript.pyannote[2389].speaker SPEAKER_26
transcript.pyannote[2389].start 28027.36409375
transcript.pyannote[2389].end 28027.97159375
transcript.pyannote[2390].speaker SPEAKER_26
transcript.pyannote[2390].start 28028.54534375
transcript.pyannote[2390].end 28031.00909375
transcript.pyannote[2391].speaker SPEAKER_26
transcript.pyannote[2391].start 28031.83596875
transcript.pyannote[2391].end 28032.19034375
transcript.pyannote[2392].speaker SPEAKER_26
transcript.pyannote[2392].start 28032.56159375
transcript.pyannote[2392].end 28033.96221875
transcript.pyannote[2393].speaker SPEAKER_26
transcript.pyannote[2393].start 28034.33346875
transcript.pyannote[2393].end 28034.65409375
transcript.pyannote[2394].speaker SPEAKER_26
transcript.pyannote[2394].start 28034.72159375
transcript.pyannote[2394].end 28044.50909375
transcript.pyannote[2395].speaker SPEAKER_26
transcript.pyannote[2395].start 28044.76221875
transcript.pyannote[2395].end 28046.44971875
transcript.pyannote[2396].speaker SPEAKER_26
transcript.pyannote[2396].start 28047.61409375
transcript.pyannote[2396].end 28054.70159375
transcript.pyannote[2397].speaker SPEAKER_26
transcript.pyannote[2397].start 28055.24159375
transcript.pyannote[2397].end 28057.09784375
transcript.pyannote[2398].speaker SPEAKER_26
transcript.pyannote[2398].start 28057.67159375
transcript.pyannote[2398].end 28058.38034375
transcript.pyannote[2399].speaker SPEAKER_26
transcript.pyannote[2399].start 28058.70096875
transcript.pyannote[2399].end 28062.22784375
transcript.pyannote[2400].speaker SPEAKER_26
transcript.pyannote[2400].start 28062.48096875
transcript.pyannote[2400].end 28070.81721875
transcript.pyannote[2401].speaker SPEAKER_26
transcript.pyannote[2401].start 28071.25596875
transcript.pyannote[2401].end 28073.09534375
transcript.pyannote[2402].speaker SPEAKER_22
transcript.pyannote[2402].start 28073.38221875
transcript.pyannote[2402].end 28089.31221875
transcript.pyannote[2403].speaker SPEAKER_26
transcript.pyannote[2403].start 28086.20721875
transcript.pyannote[2403].end 28107.52034375
transcript.pyannote[2404].speaker SPEAKER_00
transcript.pyannote[2404].start 28097.14221875
transcript.pyannote[2404].end 28097.19284375
transcript.pyannote[2405].speaker SPEAKER_29
transcript.pyannote[2405].start 28097.19284375
transcript.pyannote[2405].end 28101.20909375
transcript.pyannote[2406].speaker SPEAKER_29
transcript.pyannote[2406].start 28107.48659375
transcript.pyannote[2406].end 28109.07284375
transcript.pyannote[2407].speaker SPEAKER_26
transcript.pyannote[2407].start 28108.39784375
transcript.pyannote[2407].end 28109.41034375
transcript.pyannote[2408].speaker SPEAKER_26
transcript.pyannote[2408].start 28109.93346875
transcript.pyannote[2408].end 28111.33409375
transcript.pyannote[2409].speaker SPEAKER_26
transcript.pyannote[2409].start 28111.60409375
transcript.pyannote[2409].end 28113.46034375
transcript.pyannote[2410].speaker SPEAKER_26
transcript.pyannote[2410].start 28113.88221875
transcript.pyannote[2410].end 28115.80596875
transcript.pyannote[2411].speaker SPEAKER_26
transcript.pyannote[2411].start 28116.34596875
transcript.pyannote[2411].end 28118.86034375
transcript.pyannote[2412].speaker SPEAKER_26
transcript.pyannote[2412].start 28119.58596875
transcript.pyannote[2412].end 28122.13409375
transcript.pyannote[2413].speaker SPEAKER_26
transcript.pyannote[2413].start 28122.65721875
transcript.pyannote[2413].end 28126.26846875
transcript.pyannote[2414].speaker SPEAKER_26
transcript.pyannote[2414].start 28126.43721875
transcript.pyannote[2414].end 28133.35596875
transcript.pyannote[2415].speaker SPEAKER_26
transcript.pyannote[2415].start 28133.45721875
transcript.pyannote[2415].end 28135.43159375
transcript.pyannote[2416].speaker SPEAKER_26
transcript.pyannote[2416].start 28135.78596875
transcript.pyannote[2416].end 28147.39596875
transcript.pyannote[2417].speaker SPEAKER_26
transcript.pyannote[2417].start 28147.83471875
transcript.pyannote[2417].end 28159.32659375
transcript.pyannote[2418].speaker SPEAKER_26
transcript.pyannote[2418].start 28159.57971875
transcript.pyannote[2418].end 28161.68909375
transcript.pyannote[2419].speaker SPEAKER_26
transcript.pyannote[2419].start 28162.14471875
transcript.pyannote[2419].end 28163.22471875
transcript.pyannote[2420].speaker SPEAKER_26
transcript.pyannote[2420].start 28163.78159375
transcript.pyannote[2420].end 28167.64596875
transcript.pyannote[2421].speaker SPEAKER_26
transcript.pyannote[2421].start 28168.33784375
transcript.pyannote[2421].end 28169.68784375
transcript.pyannote[2422].speaker SPEAKER_26
transcript.pyannote[2422].start 28170.22784375
transcript.pyannote[2422].end 28172.82659375
transcript.pyannote[2423].speaker SPEAKER_26
transcript.pyannote[2423].start 28173.43409375
transcript.pyannote[2423].end 28180.06596875
transcript.pyannote[2424].speaker SPEAKER_00
transcript.pyannote[2424].start 28173.82221875
transcript.pyannote[2424].end 28174.34534375
transcript.pyannote[2425].speaker SPEAKER_00
transcript.pyannote[2425].start 28177.11284375
transcript.pyannote[2425].end 28177.14659375
transcript.pyannote[2426].speaker SPEAKER_26
transcript.pyannote[2426].start 28180.48784375
transcript.pyannote[2426].end 28181.71971875
transcript.pyannote[2427].speaker SPEAKER_26
transcript.pyannote[2427].start 28182.00659375
transcript.pyannote[2427].end 28191.00096875
transcript.pyannote[2428].speaker SPEAKER_26
transcript.pyannote[2428].start 28191.11909375
transcript.pyannote[2428].end 28192.84034375
transcript.pyannote[2429].speaker SPEAKER_26
transcript.pyannote[2429].start 28194.10596875
transcript.pyannote[2429].end 28205.42909375
transcript.pyannote[2430].speaker SPEAKER_26
transcript.pyannote[2430].start 28206.61034375
transcript.pyannote[2430].end 28211.52096875
transcript.pyannote[2431].speaker SPEAKER_26
transcript.pyannote[2431].start 28212.06096875
transcript.pyannote[2431].end 28215.25034375
transcript.pyannote[2432].speaker SPEAKER_26
transcript.pyannote[2432].start 28215.31784375
transcript.pyannote[2432].end 28220.32971875
transcript.pyannote[2433].speaker SPEAKER_29
transcript.pyannote[2433].start 28218.54096875
transcript.pyannote[2433].end 28219.33409375
transcript.pyannote[2434].speaker SPEAKER_29
transcript.pyannote[2434].start 28219.85721875
transcript.pyannote[2434].end 28223.08034375
transcript.pyannote[2435].speaker SPEAKER_26
transcript.pyannote[2435].start 28222.40534375
transcript.pyannote[2435].end 28237.60971875
transcript.pyannote[2436].speaker SPEAKER_29
transcript.pyannote[2436].start 28224.00846875
transcript.pyannote[2436].end 28224.22784375
transcript.pyannote[2437].speaker SPEAKER_29
transcript.pyannote[2437].start 28224.41346875
transcript.pyannote[2437].end 28226.21909375
transcript.pyannote[2438].speaker SPEAKER_22
transcript.pyannote[2438].start 28238.18346875
transcript.pyannote[2438].end 28242.52034375
transcript.pyannote[2439].speaker SPEAKER_22
transcript.pyannote[2439].start 28242.85784375
transcript.pyannote[2439].end 28243.51596875
transcript.pyannote[2440].speaker SPEAKER_22
transcript.pyannote[2440].start 28244.20784375
transcript.pyannote[2440].end 28249.75971875
transcript.pyannote[2441].speaker SPEAKER_26
transcript.pyannote[2441].start 28246.50284375
transcript.pyannote[2441].end 28246.99221875
transcript.pyannote[2442].speaker SPEAKER_26
transcript.pyannote[2442].start 28249.40534375
transcript.pyannote[2442].end 28249.72596875
transcript.pyannote[2443].speaker SPEAKER_26
transcript.pyannote[2443].start 28249.75971875
transcript.pyannote[2443].end 28249.82721875
transcript.pyannote[2444].speaker SPEAKER_26
transcript.pyannote[2444].start 28250.11409375
transcript.pyannote[2444].end 28255.54784375
transcript.pyannote[2445].speaker SPEAKER_17
transcript.pyannote[2445].start 28255.54784375
transcript.pyannote[2445].end 28256.52659375
transcript.pyannote[2446].speaker SPEAKER_26
transcript.pyannote[2446].start 28255.86846875
transcript.pyannote[2446].end 28262.16284375
transcript.pyannote[2447].speaker SPEAKER_26
transcript.pyannote[2447].start 28262.53409375
transcript.pyannote[2447].end 28273.28346875
transcript.pyannote[2448].speaker SPEAKER_26
transcript.pyannote[2448].start 28273.67159375
transcript.pyannote[2448].end 28287.49221875
transcript.pyannote[2449].speaker SPEAKER_26
transcript.pyannote[2449].start 28288.01534375
transcript.pyannote[2449].end 28291.96409375
transcript.pyannote[2450].speaker SPEAKER_22
transcript.pyannote[2450].start 28291.96409375
transcript.pyannote[2450].end 28293.66846875
transcript.pyannote[2451].speaker SPEAKER_22
transcript.pyannote[2451].start 28294.49534375
transcript.pyannote[2451].end 28300.35096875
transcript.pyannote[2452].speaker SPEAKER_26
transcript.pyannote[2452].start 28297.49909375
transcript.pyannote[2452].end 28299.35534375
transcript.pyannote[2453].speaker SPEAKER_22
transcript.pyannote[2453].start 28300.51971875
transcript.pyannote[2453].end 28304.41784375
transcript.pyannote[2454].speaker SPEAKER_26
transcript.pyannote[2454].start 28303.82721875
transcript.pyannote[2454].end 28306.72971875
transcript.pyannote[2455].speaker SPEAKER_26
transcript.pyannote[2455].start 28307.08409375
transcript.pyannote[2455].end 28310.22284375
transcript.pyannote[2456].speaker SPEAKER_26
transcript.pyannote[2456].start 28310.99909375
transcript.pyannote[2456].end 28313.36159375
transcript.pyannote[2457].speaker SPEAKER_26
transcript.pyannote[2457].start 28314.99846875
transcript.pyannote[2457].end 28320.63471875
transcript.pyannote[2458].speaker SPEAKER_26
transcript.pyannote[2458].start 28321.05659375
transcript.pyannote[2458].end 28327.18221875
transcript.pyannote[2459].speaker SPEAKER_29
transcript.pyannote[2459].start 28327.18221875
transcript.pyannote[2459].end 28329.57846875
transcript.pyannote[2460].speaker SPEAKER_26
transcript.pyannote[2460].start 28328.59971875
transcript.pyannote[2460].end 28329.42659375
transcript.pyannote[2461].speaker SPEAKER_26
transcript.pyannote[2461].start 28329.57846875
transcript.pyannote[2461].end 28331.35034375
transcript.pyannote[2462].speaker SPEAKER_26
transcript.pyannote[2462].start 28331.50221875
transcript.pyannote[2462].end 28333.18971875
transcript.pyannote[2463].speaker SPEAKER_29
transcript.pyannote[2463].start 28333.57784375
transcript.pyannote[2463].end 28341.17159375
transcript.pyannote[2464].speaker SPEAKER_26
transcript.pyannote[2464].start 28333.61159375
transcript.pyannote[2464].end 28335.18096875
transcript.pyannote[2465].speaker SPEAKER_26
transcript.pyannote[2465].start 28340.49659375
transcript.pyannote[2465].end 28344.61409375
transcript.pyannote[2466].speaker SPEAKER_29
transcript.pyannote[2466].start 28343.51721875
transcript.pyannote[2466].end 28345.55909375
transcript.pyannote[2467].speaker SPEAKER_26
transcript.pyannote[2467].start 28344.95159375
transcript.pyannote[2467].end 28352.17409375
transcript.pyannote[2468].speaker SPEAKER_26
transcript.pyannote[2468].start 28353.22034375
transcript.pyannote[2468].end 28355.66721875
transcript.pyannote[2469].speaker SPEAKER_26
transcript.pyannote[2469].start 28356.34221875
transcript.pyannote[2469].end 28357.01721875
transcript.pyannote[2470].speaker SPEAKER_26
transcript.pyannote[2470].start 28357.64159375
transcript.pyannote[2470].end 28375.36034375
transcript.pyannote[2471].speaker SPEAKER_26
transcript.pyannote[2471].start 28375.61346875
transcript.pyannote[2471].end 28379.07284375
transcript.pyannote[2472].speaker SPEAKER_26
transcript.pyannote[2472].start 28379.27534375
transcript.pyannote[2472].end 28381.84034375
transcript.pyannote[2473].speaker SPEAKER_26
transcript.pyannote[2473].start 28382.34659375
transcript.pyannote[2473].end 28383.00471875
transcript.pyannote[2474].speaker SPEAKER_26
transcript.pyannote[2474].start 28385.53596875
transcript.pyannote[2474].end 28388.47221875
transcript.pyannote[2475].speaker SPEAKER_26
transcript.pyannote[2475].start 28388.69159375
transcript.pyannote[2475].end 28389.56909375
transcript.pyannote[2476].speaker SPEAKER_26
transcript.pyannote[2476].start 28389.80534375
transcript.pyannote[2476].end 28392.69096875
transcript.pyannote[2477].speaker SPEAKER_25
transcript.pyannote[2477].start 28390.12596875
transcript.pyannote[2477].end 28390.32846875
transcript.pyannote[2478].speaker SPEAKER_00
transcript.pyannote[2478].start 28390.32846875
transcript.pyannote[2478].end 28390.34534375
transcript.pyannote[2479].speaker SPEAKER_26
transcript.pyannote[2479].start 28393.14659375
transcript.pyannote[2479].end 28397.75346875
transcript.pyannote[2480].speaker SPEAKER_26
transcript.pyannote[2480].start 28398.41159375
transcript.pyannote[2480].end 28400.58846875
transcript.pyannote[2481].speaker SPEAKER_26
transcript.pyannote[2481].start 28401.04409375
transcript.pyannote[2481].end 28403.44034375
transcript.pyannote[2482].speaker SPEAKER_26
transcript.pyannote[2482].start 28404.04784375
transcript.pyannote[2482].end 28405.81971875
transcript.pyannote[2483].speaker SPEAKER_26
transcript.pyannote[2483].start 28405.97159375
transcript.pyannote[2483].end 28412.78909375
transcript.pyannote[2484].speaker SPEAKER_25
transcript.pyannote[2484].start 28411.91159375
transcript.pyannote[2484].end 28413.07596875
transcript.pyannote[2485].speaker SPEAKER_26
transcript.pyannote[2485].start 28413.07596875
transcript.pyannote[2485].end 28419.62346875
transcript.pyannote[2486].speaker SPEAKER_26
transcript.pyannote[2486].start 28420.02846875
transcript.pyannote[2486].end 28420.90596875
transcript.pyannote[2487].speaker SPEAKER_29
transcript.pyannote[2487].start 28420.21409375
transcript.pyannote[2487].end 28422.30659375
transcript.pyannote[2488].speaker SPEAKER_26
transcript.pyannote[2488].start 28422.30659375
transcript.pyannote[2488].end 28423.57221875
transcript.pyannote[2489].speaker SPEAKER_29
transcript.pyannote[2489].start 28422.32346875
transcript.pyannote[2489].end 28422.69471875
transcript.pyannote[2490].speaker SPEAKER_26
transcript.pyannote[2490].start 28423.90971875
transcript.pyannote[2490].end 28425.17534375
transcript.pyannote[2491].speaker SPEAKER_26
transcript.pyannote[2491].start 28425.81659375
transcript.pyannote[2491].end 28428.34784375
transcript.pyannote[2492].speaker SPEAKER_26
transcript.pyannote[2492].start 28428.58409375
transcript.pyannote[2492].end 28437.91596875
transcript.pyannote[2493].speaker SPEAKER_26
transcript.pyannote[2493].start 28438.27034375
transcript.pyannote[2493].end 28444.02471875
transcript.pyannote[2494].speaker SPEAKER_26
transcript.pyannote[2494].start 28444.07534375
transcript.pyannote[2494].end 28444.83471875
transcript.pyannote[2495].speaker SPEAKER_26
transcript.pyannote[2495].start 28445.00346875
transcript.pyannote[2495].end 28447.50096875
transcript.pyannote[2496].speaker SPEAKER_29
transcript.pyannote[2496].start 28445.12159375
transcript.pyannote[2496].end 28454.40284375
transcript.pyannote[2497].speaker SPEAKER_26
transcript.pyannote[2497].start 28454.11596875
transcript.pyannote[2497].end 28455.02721875
transcript.pyannote[2498].speaker SPEAKER_29
transcript.pyannote[2498].start 28455.02721875
transcript.pyannote[2498].end 28458.67221875
transcript.pyannote[2499].speaker SPEAKER_26
transcript.pyannote[2499].start 28455.63471875
transcript.pyannote[2499].end 28456.32659375
transcript.pyannote[2500].speaker SPEAKER_26
transcript.pyannote[2500].start 28458.19971875
transcript.pyannote[2500].end 28468.49346875
transcript.pyannote[2501].speaker SPEAKER_29
transcript.pyannote[2501].start 28464.17346875
transcript.pyannote[2501].end 28466.04659375
transcript.pyannote[2502].speaker SPEAKER_26
transcript.pyannote[2502].start 28468.62846875
transcript.pyannote[2502].end 28470.92346875
transcript.pyannote[2503].speaker SPEAKER_26
transcript.pyannote[2503].start 28471.44659375
transcript.pyannote[2503].end 28477.11659375
transcript.pyannote[2504].speaker SPEAKER_26
transcript.pyannote[2504].start 28477.58909375
transcript.pyannote[2504].end 28482.49971875
transcript.pyannote[2505].speaker SPEAKER_21
transcript.pyannote[2505].start 28482.49971875
transcript.pyannote[2505].end 28482.78659375
transcript.pyannote[2506].speaker SPEAKER_26
transcript.pyannote[2506].start 28483.00596875
transcript.pyannote[2506].end 28484.33909375
transcript.pyannote[2507].speaker SPEAKER_26
transcript.pyannote[2507].start 28486.21221875
transcript.pyannote[2507].end 28486.71846875
transcript.pyannote[2508].speaker SPEAKER_26
transcript.pyannote[2508].start 28487.12346875
transcript.pyannote[2508].end 28489.67159375
transcript.pyannote[2509].speaker SPEAKER_00
transcript.pyannote[2509].start 28488.38909375
transcript.pyannote[2509].end 28488.52409375
transcript.pyannote[2510].speaker SPEAKER_26
transcript.pyannote[2510].start 28489.97534375
transcript.pyannote[2510].end 28491.98346875
transcript.pyannote[2511].speaker SPEAKER_00
transcript.pyannote[2511].start 28490.36346875
transcript.pyannote[2511].end 28490.51534375
transcript.pyannote[2512].speaker SPEAKER_26
transcript.pyannote[2512].start 28495.13909375
transcript.pyannote[2512].end 28496.08409375
transcript.pyannote[2513].speaker SPEAKER_26
transcript.pyannote[2513].start 28496.62409375
transcript.pyannote[2513].end 28497.41721875
transcript.pyannote[2514].speaker SPEAKER_26
transcript.pyannote[2514].start 28497.97409375
transcript.pyannote[2514].end 28500.97784375
transcript.pyannote[2515].speaker SPEAKER_26
transcript.pyannote[2515].start 28501.58534375
transcript.pyannote[2515].end 28502.46284375
transcript.pyannote[2516].speaker SPEAKER_26
transcript.pyannote[2516].start 28503.23909375
transcript.pyannote[2516].end 28503.88034375
transcript.pyannote[2517].speaker SPEAKER_26
transcript.pyannote[2517].start 28505.04471875
transcript.pyannote[2517].end 28508.30159375
transcript.pyannote[2518].speaker SPEAKER_26
transcript.pyannote[2518].start 28508.74034375
transcript.pyannote[2518].end 28510.96784375
transcript.pyannote[2519].speaker SPEAKER_26
transcript.pyannote[2519].start 28511.64284375
transcript.pyannote[2519].end 28513.19534375
transcript.pyannote[2520].speaker SPEAKER_26
transcript.pyannote[2520].start 28514.03909375
transcript.pyannote[2520].end 28516.36784375
transcript.pyannote[2521].speaker SPEAKER_26
transcript.pyannote[2521].start 28516.70534375
transcript.pyannote[2521].end 28519.64159375
transcript.pyannote[2522].speaker SPEAKER_26
transcript.pyannote[2522].start 28520.11409375
transcript.pyannote[2522].end 28523.86034375
transcript.pyannote[2523].speaker SPEAKER_26
transcript.pyannote[2523].start 28524.06284375
transcript.pyannote[2523].end 28532.14596875
transcript.pyannote[2524].speaker SPEAKER_26
transcript.pyannote[2524].start 28532.66909375
transcript.pyannote[2524].end 28533.69846875
transcript.pyannote[2525].speaker SPEAKER_26
transcript.pyannote[2525].start 28535.04846875
transcript.pyannote[2525].end 28536.46596875
transcript.pyannote[2526].speaker SPEAKER_26
transcript.pyannote[2526].start 28537.49534375
transcript.pyannote[2526].end 28541.32596875
transcript.pyannote[2527].speaker SPEAKER_26
transcript.pyannote[2527].start 28541.54534375
transcript.pyannote[2527].end 28544.51534375
transcript.pyannote[2528].speaker SPEAKER_29
transcript.pyannote[2528].start 28541.59596875
transcript.pyannote[2528].end 28542.16971875
transcript.pyannote[2529].speaker SPEAKER_29
transcript.pyannote[2529].start 28544.39721875
transcript.pyannote[2529].end 28545.32534375
transcript.pyannote[2530].speaker SPEAKER_26
transcript.pyannote[2530].start 28544.65034375
transcript.pyannote[2530].end 28550.40471875
transcript.pyannote[2531].speaker SPEAKER_29
transcript.pyannote[2531].start 28550.80971875
transcript.pyannote[2531].end 28567.27971875
transcript.pyannote[2532].speaker SPEAKER_26
transcript.pyannote[2532].start 28554.01596875
transcript.pyannote[2532].end 28554.40409375
transcript.pyannote[2533].speaker SPEAKER_00
transcript.pyannote[2533].start 28561.91346875
transcript.pyannote[2533].end 28562.23409375
transcript.pyannote[2534].speaker SPEAKER_26
transcript.pyannote[2534].start 28567.48221875
transcript.pyannote[2534].end 28576.54409375
transcript.pyannote[2535].speaker SPEAKER_22
transcript.pyannote[2535].start 28576.24034375
transcript.pyannote[2535].end 28577.16846875
transcript.pyannote[2536].speaker SPEAKER_26
transcript.pyannote[2536].start 28577.03346875
transcript.pyannote[2536].end 28579.51409375
transcript.pyannote[2537].speaker SPEAKER_22
transcript.pyannote[2537].start 28578.61971875
transcript.pyannote[2537].end 28582.28159375
transcript.pyannote[2538].speaker SPEAKER_26
transcript.pyannote[2538].start 28580.76284375
transcript.pyannote[2538].end 28582.65284375
transcript.pyannote[2539].speaker SPEAKER_26
transcript.pyannote[2539].start 28583.26034375
transcript.pyannote[2539].end 28586.63534375
transcript.pyannote[2540].speaker SPEAKER_26
transcript.pyannote[2540].start 28587.15846875
transcript.pyannote[2540].end 28591.42784375
transcript.pyannote[2541].speaker SPEAKER_26
transcript.pyannote[2541].start 28591.54596875
transcript.pyannote[2541].end 28592.23784375
transcript.pyannote[2542].speaker SPEAKER_26
transcript.pyannote[2542].start 28593.67221875
transcript.pyannote[2542].end 28595.88284375
transcript.pyannote[2543].speaker SPEAKER_26
transcript.pyannote[2543].start 28596.55784375
transcript.pyannote[2543].end 28600.01721875
transcript.pyannote[2544].speaker SPEAKER_26
transcript.pyannote[2544].start 28600.48971875
transcript.pyannote[2544].end 28604.84346875
transcript.pyannote[2545].speaker SPEAKER_26
transcript.pyannote[2545].start 28605.26534375
transcript.pyannote[2545].end 28607.30721875
transcript.pyannote[2546].speaker SPEAKER_26
transcript.pyannote[2546].start 28607.96534375
transcript.pyannote[2546].end 28610.46284375
transcript.pyannote[2547].speaker SPEAKER_26
transcript.pyannote[2547].start 28610.71596875
transcript.pyannote[2547].end 28611.86346875
transcript.pyannote[2548].speaker SPEAKER_26
transcript.pyannote[2548].start 28612.52159375
transcript.pyannote[2548].end 28617.75284375
transcript.pyannote[2549].speaker SPEAKER_26
transcript.pyannote[2549].start 28618.37721875
transcript.pyannote[2549].end 28623.42284375
transcript.pyannote[2550].speaker SPEAKER_29
transcript.pyannote[2550].start 28623.42284375
transcript.pyannote[2550].end 28623.43971875
transcript.pyannote[2551].speaker SPEAKER_26
transcript.pyannote[2551].start 28623.43971875
transcript.pyannote[2551].end 28623.45659375
transcript.pyannote[2552].speaker SPEAKER_29
transcript.pyannote[2552].start 28623.45659375
transcript.pyannote[2552].end 28623.64221875
transcript.pyannote[2553].speaker SPEAKER_26
transcript.pyannote[2553].start 28623.64221875
transcript.pyannote[2553].end 28625.88659375
transcript.pyannote[2554].speaker SPEAKER_29
transcript.pyannote[2554].start 28623.69284375
transcript.pyannote[2554].end 28623.77721875
transcript.pyannote[2555].speaker SPEAKER_29
transcript.pyannote[2555].start 28624.68846875
transcript.pyannote[2555].end 28629.19409375
transcript.pyannote[2556].speaker SPEAKER_26
transcript.pyannote[2556].start 28627.03409375
transcript.pyannote[2556].end 28630.24034375
transcript.pyannote[2557].speaker SPEAKER_26
transcript.pyannote[2557].start 28630.78034375
transcript.pyannote[2557].end 28632.63659375
transcript.pyannote[2558].speaker SPEAKER_26
transcript.pyannote[2558].start 28633.10909375
transcript.pyannote[2558].end 28634.71221875
transcript.pyannote[2559].speaker SPEAKER_26
transcript.pyannote[2559].start 28635.25221875
transcript.pyannote[2559].end 28636.24784375
transcript.pyannote[2560].speaker SPEAKER_26
transcript.pyannote[2560].start 28637.12534375
transcript.pyannote[2560].end 28637.73284375
transcript.pyannote[2561].speaker SPEAKER_26
transcript.pyannote[2561].start 28637.78346875
transcript.pyannote[2561].end 28640.43284375
transcript.pyannote[2562].speaker SPEAKER_26
transcript.pyannote[2562].start 28640.71971875
transcript.pyannote[2562].end 28647.94221875
transcript.pyannote[2563].speaker SPEAKER_26
transcript.pyannote[2563].start 28649.51159375
transcript.pyannote[2563].end 28651.77284375
transcript.pyannote[2564].speaker SPEAKER_26
transcript.pyannote[2564].start 28652.29596875
transcript.pyannote[2564].end 28654.89471875
transcript.pyannote[2565].speaker SPEAKER_26
transcript.pyannote[2565].start 28655.26596875
transcript.pyannote[2565].end 28663.66971875
transcript.pyannote[2566].speaker SPEAKER_26
transcript.pyannote[2566].start 28664.56409375
transcript.pyannote[2566].end 28668.04034375
transcript.pyannote[2567].speaker SPEAKER_26
transcript.pyannote[2567].start 28668.34409375
transcript.pyannote[2567].end 28668.95159375
transcript.pyannote[2568].speaker SPEAKER_26
transcript.pyannote[2568].start 28670.06534375
transcript.pyannote[2568].end 28675.92096875
transcript.pyannote[2569].speaker SPEAKER_26
transcript.pyannote[2569].start 28676.49471875
transcript.pyannote[2569].end 28678.84034375
transcript.pyannote[2570].speaker SPEAKER_26
transcript.pyannote[2570].start 28679.61659375
transcript.pyannote[2570].end 28684.59471875
transcript.pyannote[2571].speaker SPEAKER_26
transcript.pyannote[2571].start 28685.13471875
transcript.pyannote[2571].end 28688.84721875
transcript.pyannote[2572].speaker SPEAKER_30
transcript.pyannote[2572].start 28699.03971875
transcript.pyannote[2572].end 28702.53284375
transcript.pyannote[2573].speaker SPEAKER_30
transcript.pyannote[2573].start 28703.66346875
transcript.pyannote[2573].end 28704.69284375
transcript.pyannote[2574].speaker SPEAKER_30
transcript.pyannote[2574].start 28705.33409375
transcript.pyannote[2574].end 28706.29596875
transcript.pyannote[2575].speaker SPEAKER_30
transcript.pyannote[2575].start 28707.86534375
transcript.pyannote[2575].end 28716.38721875
transcript.pyannote[2576].speaker SPEAKER_30
transcript.pyannote[2576].start 28718.86784375
transcript.pyannote[2576].end 28722.00659375
transcript.pyannote[2577].speaker SPEAKER_28
transcript.pyannote[2577].start 28749.96846875
transcript.pyannote[2577].end 28756.46534375
transcript.pyannote[2578].speaker SPEAKER_30
transcript.pyannote[2578].start 28757.29221875
transcript.pyannote[2578].end 28759.03034375
transcript.pyannote[2579].speaker SPEAKER_28
transcript.pyannote[2579].start 28768.49721875
transcript.pyannote[2579].end 28768.51409375
transcript.pyannote[2580].speaker SPEAKER_22
transcript.pyannote[2580].start 28768.51409375
transcript.pyannote[2580].end 28769.30721875
transcript.pyannote[2581].speaker SPEAKER_28
transcript.pyannote[2581].start 28769.77971875
transcript.pyannote[2581].end 28775.53409375
transcript.pyannote[2582].speaker SPEAKER_28
transcript.pyannote[2582].start 28775.93909375
transcript.pyannote[2582].end 28780.22534375
transcript.pyannote[2583].speaker SPEAKER_28
transcript.pyannote[2583].start 28780.63034375
transcript.pyannote[2583].end 28785.22034375
transcript.pyannote[2584].speaker SPEAKER_28
transcript.pyannote[2584].start 28785.57471875
transcript.pyannote[2584].end 28789.30409375
transcript.pyannote[2585].speaker SPEAKER_28
transcript.pyannote[2585].start 28789.62471875
transcript.pyannote[2585].end 28791.75096875
transcript.pyannote[2586].speaker SPEAKER_28
transcript.pyannote[2586].start 28792.10534375
transcript.pyannote[2586].end 28793.38784375
transcript.pyannote[2587].speaker SPEAKER_28
transcript.pyannote[2587].start 28793.64096875
transcript.pyannote[2587].end 28796.17221875
transcript.pyannote[2588].speaker SPEAKER_28
transcript.pyannote[2588].start 28796.84721875
transcript.pyannote[2588].end 28802.97284375
transcript.pyannote[2589].speaker SPEAKER_28
transcript.pyannote[2589].start 28803.12471875
transcript.pyannote[2589].end 28803.91784375
transcript.pyannote[2590].speaker SPEAKER_28
transcript.pyannote[2590].start 28804.05284375
transcript.pyannote[2590].end 28808.18721875
transcript.pyannote[2591].speaker SPEAKER_28
transcript.pyannote[2591].start 28808.42346875
transcript.pyannote[2591].end 28811.02221875
transcript.pyannote[2592].speaker SPEAKER_28
transcript.pyannote[2592].start 28811.22471875
transcript.pyannote[2592].end 28814.93721875
transcript.pyannote[2593].speaker SPEAKER_28
transcript.pyannote[2593].start 28815.32534375
transcript.pyannote[2593].end 28818.02534375
transcript.pyannote[2594].speaker SPEAKER_28
transcript.pyannote[2594].start 28818.31221875
transcript.pyannote[2594].end 28829.23034375
transcript.pyannote[2595].speaker SPEAKER_28
transcript.pyannote[2595].start 28829.61846875
transcript.pyannote[2595].end 28831.87971875
transcript.pyannote[2596].speaker SPEAKER_28
transcript.pyannote[2596].start 28832.06534375
transcript.pyannote[2596].end 28833.98909375
transcript.pyannote[2597].speaker SPEAKER_28
transcript.pyannote[2597].start 28834.14096875
transcript.pyannote[2597].end 28836.79034375
transcript.pyannote[2598].speaker SPEAKER_28
transcript.pyannote[2598].start 28837.12784375
transcript.pyannote[2598].end 28839.05159375
transcript.pyannote[2599].speaker SPEAKER_28
transcript.pyannote[2599].start 28839.23721875
transcript.pyannote[2599].end 28841.00909375
transcript.pyannote[2600].speaker SPEAKER_28
transcript.pyannote[2600].start 28841.22846875
transcript.pyannote[2600].end 28843.45596875
transcript.pyannote[2601].speaker SPEAKER_28
transcript.pyannote[2601].start 28843.86096875
transcript.pyannote[2601].end 28848.58596875
transcript.pyannote[2602].speaker SPEAKER_28
transcript.pyannote[2602].start 28848.73784375
transcript.pyannote[2602].end 28851.47159375
transcript.pyannote[2603].speaker SPEAKER_28
transcript.pyannote[2603].start 28851.67409375
transcript.pyannote[2603].end 28852.58534375
transcript.pyannote[2604].speaker SPEAKER_28
transcript.pyannote[2604].start 28853.04096875
transcript.pyannote[2604].end 28855.75784375
transcript.pyannote[2605].speaker SPEAKER_28
transcript.pyannote[2605].start 28855.79159375
transcript.pyannote[2605].end 28857.66471875
transcript.pyannote[2606].speaker SPEAKER_28
transcript.pyannote[2606].start 28857.79971875
transcript.pyannote[2606].end 28860.83721875
transcript.pyannote[2607].speaker SPEAKER_22
transcript.pyannote[2607].start 28861.24221875
transcript.pyannote[2607].end 28862.05221875
transcript.pyannote[2608].speaker SPEAKER_22
transcript.pyannote[2608].start 28862.81159375
transcript.pyannote[2608].end 28865.30909375
transcript.pyannote[2609].speaker SPEAKER_22
transcript.pyannote[2609].start 28865.83221875
transcript.pyannote[2609].end 28867.08096875
transcript.pyannote[2610].speaker SPEAKER_22
transcript.pyannote[2610].start 28867.70534375
transcript.pyannote[2610].end 28869.71346875
transcript.pyannote[2611].speaker SPEAKER_22
transcript.pyannote[2611].start 28870.15221875
transcript.pyannote[2611].end 28873.76346875
transcript.pyannote[2612].speaker SPEAKER_22
transcript.pyannote[2612].start 28873.99971875
transcript.pyannote[2612].end 28882.85909375
transcript.pyannote[2613].speaker SPEAKER_22
transcript.pyannote[2613].start 28883.17971875
transcript.pyannote[2613].end 28884.34409375
transcript.pyannote[2614].speaker SPEAKER_22
transcript.pyannote[2614].start 28884.47909375
transcript.pyannote[2614].end 28885.87971875
transcript.pyannote[2615].speaker SPEAKER_22
transcript.pyannote[2615].start 28886.20034375
transcript.pyannote[2615].end 28888.98471875
transcript.pyannote[2616].speaker SPEAKER_22
transcript.pyannote[2616].start 28889.23784375
transcript.pyannote[2616].end 28891.14471875
transcript.pyannote[2617].speaker SPEAKER_22
transcript.pyannote[2617].start 28891.43159375
transcript.pyannote[2617].end 28904.32409375
transcript.pyannote[2618].speaker SPEAKER_22
transcript.pyannote[2618].start 28904.94846875
transcript.pyannote[2618].end 28910.75346875
transcript.pyannote[2619].speaker SPEAKER_22
transcript.pyannote[2619].start 28911.46221875
transcript.pyannote[2619].end 28915.27596875
transcript.pyannote[2620].speaker SPEAKER_22
transcript.pyannote[2620].start 28915.63034375
transcript.pyannote[2620].end 28919.64659375
transcript.pyannote[2621].speaker SPEAKER_22
transcript.pyannote[2621].start 28920.06846875
transcript.pyannote[2621].end 28922.92034375
transcript.pyannote[2622].speaker SPEAKER_22
transcript.pyannote[2622].start 28923.10596875
transcript.pyannote[2622].end 28926.19409375
transcript.pyannote[2623].speaker SPEAKER_22
transcript.pyannote[2623].start 28926.51471875
transcript.pyannote[2623].end 28930.12596875
transcript.pyannote[2624].speaker SPEAKER_22
transcript.pyannote[2624].start 28930.32846875
transcript.pyannote[2624].end 28931.77971875
transcript.pyannote[2625].speaker SPEAKER_22
transcript.pyannote[2625].start 28932.06659375
transcript.pyannote[2625].end 28933.01159375
transcript.pyannote[2626].speaker SPEAKER_22
transcript.pyannote[2626].start 28933.80471875
transcript.pyannote[2626].end 28934.90159375
transcript.pyannote[2627].speaker SPEAKER_22
transcript.pyannote[2627].start 28934.95221875
transcript.pyannote[2627].end 28943.38971875
transcript.pyannote[2628].speaker SPEAKER_22
transcript.pyannote[2628].start 28943.40659375
transcript.pyannote[2628].end 28950.27471875
transcript.pyannote[2629].speaker SPEAKER_22
transcript.pyannote[2629].start 28950.34221875
transcript.pyannote[2629].end 28952.40096875
transcript.pyannote[2630].speaker SPEAKER_22
transcript.pyannote[2630].start 28952.80596875
transcript.pyannote[2630].end 28954.52721875
transcript.pyannote[2631].speaker SPEAKER_22
transcript.pyannote[2631].start 28954.66221875
transcript.pyannote[2631].end 28957.44659375
transcript.pyannote[2632].speaker SPEAKER_28
transcript.pyannote[2632].start 28957.44659375
transcript.pyannote[2632].end 28957.46346875
transcript.pyannote[2633].speaker SPEAKER_22
transcript.pyannote[2633].start 28957.90221875
transcript.pyannote[2633].end 28957.91909375
transcript.pyannote[2634].speaker SPEAKER_28
transcript.pyannote[2634].start 28957.91909375
transcript.pyannote[2634].end 28959.89346875
transcript.pyannote[2635].speaker SPEAKER_28
transcript.pyannote[2635].start 28960.24784375
transcript.pyannote[2635].end 28965.00659375
transcript.pyannote[2636].speaker SPEAKER_28
transcript.pyannote[2636].start 28965.22596875
transcript.pyannote[2636].end 28969.76534375
transcript.pyannote[2637].speaker SPEAKER_28
transcript.pyannote[2637].start 28969.90034375
transcript.pyannote[2637].end 28970.60909375
transcript.pyannote[2638].speaker SPEAKER_28
transcript.pyannote[2638].start 28970.82846875
transcript.pyannote[2638].end 28971.92534375
transcript.pyannote[2639].speaker SPEAKER_28
transcript.pyannote[2639].start 28972.17846875
transcript.pyannote[2639].end 28973.14034375
transcript.pyannote[2640].speaker SPEAKER_28
transcript.pyannote[2640].start 28973.64659375
transcript.pyannote[2640].end 28978.97909375
transcript.pyannote[2641].speaker SPEAKER_28
transcript.pyannote[2641].start 28979.35034375
transcript.pyannote[2641].end 28987.31534375
transcript.pyannote[2642].speaker SPEAKER_28
transcript.pyannote[2642].start 28987.70346875
transcript.pyannote[2642].end 28991.82096875
transcript.pyannote[2643].speaker SPEAKER_28
transcript.pyannote[2643].start 28992.04034375
transcript.pyannote[2643].end 28992.93471875
transcript.pyannote[2644].speaker SPEAKER_28
transcript.pyannote[2644].start 28993.06971875
transcript.pyannote[2644].end 28994.57159375
transcript.pyannote[2645].speaker SPEAKER_28
transcript.pyannote[2645].start 28994.67284375
transcript.pyannote[2645].end 28996.96784375
transcript.pyannote[2646].speaker SPEAKER_28
transcript.pyannote[2646].start 28997.11971875
transcript.pyannote[2646].end 29003.27909375
transcript.pyannote[2647].speaker SPEAKER_28
transcript.pyannote[2647].start 29003.59971875
transcript.pyannote[2647].end 29007.27846875
transcript.pyannote[2648].speaker SPEAKER_28
transcript.pyannote[2648].start 29007.46409375
transcript.pyannote[2648].end 29012.62784375
transcript.pyannote[2649].speaker SPEAKER_28
transcript.pyannote[2649].start 29013.04971875
transcript.pyannote[2649].end 29017.63971875
transcript.pyannote[2650].speaker SPEAKER_28
transcript.pyannote[2650].start 29017.69034375
transcript.pyannote[2650].end 29018.92221875
transcript.pyannote[2651].speaker SPEAKER_28
transcript.pyannote[2651].start 29019.27659375
transcript.pyannote[2651].end 29022.70221875
transcript.pyannote[2652].speaker SPEAKER_28
transcript.pyannote[2652].start 29022.92159375
transcript.pyannote[2652].end 29032.05096875
transcript.pyannote[2653].speaker SPEAKER_28
transcript.pyannote[2653].start 29032.06784375
transcript.pyannote[2653].end 29039.22284375
transcript.pyannote[2654].speaker SPEAKER_28
transcript.pyannote[2654].start 29039.40846875
transcript.pyannote[2654].end 29042.32784375
transcript.pyannote[2655].speaker SPEAKER_28
transcript.pyannote[2655].start 29042.42909375
transcript.pyannote[2655].end 29045.28096875
transcript.pyannote[2656].speaker SPEAKER_28
transcript.pyannote[2656].start 29045.73659375
transcript.pyannote[2656].end 29057.65034375
transcript.pyannote[2657].speaker SPEAKER_22
transcript.pyannote[2657].start 29058.17346875
transcript.pyannote[2657].end 29064.40034375
transcript.pyannote[2658].speaker SPEAKER_22
transcript.pyannote[2658].start 29064.87284375
transcript.pyannote[2658].end 29067.16784375
transcript.pyannote[2659].speaker SPEAKER_22
transcript.pyannote[2659].start 29067.67409375
transcript.pyannote[2659].end 29068.34909375
transcript.pyannote[2660].speaker SPEAKER_22
transcript.pyannote[2660].start 29069.10846875
transcript.pyannote[2660].end 29071.62284375
transcript.pyannote[2661].speaker SPEAKER_22
transcript.pyannote[2661].start 29071.94346875
transcript.pyannote[2661].end 29073.73221875
transcript.pyannote[2662].speaker SPEAKER_25
transcript.pyannote[2662].start 29073.73221875
transcript.pyannote[2662].end 29073.76596875
transcript.pyannote[2663].speaker SPEAKER_22
transcript.pyannote[2663].start 29073.76596875
transcript.pyannote[2663].end 29077.46159375
transcript.pyannote[2664].speaker SPEAKER_22
transcript.pyannote[2664].start 29077.83284375
transcript.pyannote[2664].end 29079.03096875
transcript.pyannote[2665].speaker SPEAKER_22
transcript.pyannote[2665].start 29079.31784375
transcript.pyannote[2665].end 29080.24596875
transcript.pyannote[2666].speaker SPEAKER_22
transcript.pyannote[2666].start 29080.56659375
transcript.pyannote[2666].end 29084.58284375
transcript.pyannote[2667].speaker SPEAKER_25
transcript.pyannote[2667].start 29084.58284375
transcript.pyannote[2667].end 29084.97096875
transcript.pyannote[2668].speaker SPEAKER_22
transcript.pyannote[2668].start 29084.97096875
transcript.pyannote[2668].end 29096.85096875
transcript.pyannote[2669].speaker SPEAKER_22
transcript.pyannote[2669].start 29097.45846875
transcript.pyannote[2669].end 29099.78721875
transcript.pyannote[2670].speaker SPEAKER_22
transcript.pyannote[2670].start 29100.09096875
transcript.pyannote[2670].end 29101.35659375
transcript.pyannote[2671].speaker SPEAKER_22
transcript.pyannote[2671].start 29101.66034375
transcript.pyannote[2671].end 29102.68971875
transcript.pyannote[2672].speaker SPEAKER_22
transcript.pyannote[2672].start 29103.07784375
transcript.pyannote[2672].end 29108.24159375
transcript.pyannote[2673].speaker SPEAKER_22
transcript.pyannote[2673].start 29108.46096875
transcript.pyannote[2673].end 29111.71784375
transcript.pyannote[2674].speaker SPEAKER_22
transcript.pyannote[2674].start 29111.98784375
transcript.pyannote[2674].end 29114.08034375
transcript.pyannote[2675].speaker SPEAKER_22
transcript.pyannote[2675].start 29114.36721875
transcript.pyannote[2675].end 29115.12659375
transcript.pyannote[2676].speaker SPEAKER_22
transcript.pyannote[2676].start 29115.41346875
transcript.pyannote[2676].end 29118.83909375
transcript.pyannote[2677].speaker SPEAKER_22
transcript.pyannote[2677].start 29119.10909375
transcript.pyannote[2677].end 29121.48846875
transcript.pyannote[2678].speaker SPEAKER_28
transcript.pyannote[2678].start 29121.48846875
transcript.pyannote[2678].end 29121.50534375
transcript.pyannote[2679].speaker SPEAKER_28
transcript.pyannote[2679].start 29121.96096875
transcript.pyannote[2679].end 29122.50096875
transcript.pyannote[2680].speaker SPEAKER_28
transcript.pyannote[2680].start 29122.51784375
transcript.pyannote[2680].end 29128.37346875
transcript.pyannote[2681].speaker SPEAKER_28
transcript.pyannote[2681].start 29128.45784375
transcript.pyannote[2681].end 29136.05159375
transcript.pyannote[2682].speaker SPEAKER_28
transcript.pyannote[2682].start 29136.20346875
transcript.pyannote[2682].end 29137.48596875
transcript.pyannote[2683].speaker SPEAKER_28
transcript.pyannote[2683].start 29137.80659375
transcript.pyannote[2683].end 29138.16096875
transcript.pyannote[2684].speaker SPEAKER_28
transcript.pyannote[2684].start 29138.44784375
transcript.pyannote[2684].end 29141.35034375
transcript.pyannote[2685].speaker SPEAKER_28
transcript.pyannote[2685].start 29141.55284375
transcript.pyannote[2685].end 29148.15096875
transcript.pyannote[2686].speaker SPEAKER_28
transcript.pyannote[2686].start 29148.30284375
transcript.pyannote[2686].end 29159.59221875
transcript.pyannote[2687].speaker SPEAKER_28
transcript.pyannote[2687].start 29159.81159375
transcript.pyannote[2687].end 29164.89096875
transcript.pyannote[2688].speaker SPEAKER_28
transcript.pyannote[2688].start 29165.02596875
transcript.pyannote[2688].end 29169.19409375
transcript.pyannote[2689].speaker SPEAKER_28
transcript.pyannote[2689].start 29169.58221875
transcript.pyannote[2689].end 29173.46346875
transcript.pyannote[2690].speaker SPEAKER_28
transcript.pyannote[2690].start 29173.54784375
transcript.pyannote[2690].end 29184.82034375
transcript.pyannote[2691].speaker SPEAKER_28
transcript.pyannote[2691].start 29184.87096875
transcript.pyannote[2691].end 29190.05159375
transcript.pyannote[2692].speaker SPEAKER_28
transcript.pyannote[2692].start 29190.11909375
transcript.pyannote[2692].end 29195.73846875
transcript.pyannote[2693].speaker SPEAKER_28
transcript.pyannote[2693].start 29195.97471875
transcript.pyannote[2693].end 29202.25221875
transcript.pyannote[2694].speaker SPEAKER_28
transcript.pyannote[2694].start 29202.40409375
transcript.pyannote[2694].end 29207.29784375
transcript.pyannote[2695].speaker SPEAKER_22
transcript.pyannote[2695].start 29207.44971875
transcript.pyannote[2695].end 29207.46659375
transcript.pyannote[2696].speaker SPEAKER_28
transcript.pyannote[2696].start 29207.46659375
transcript.pyannote[2696].end 29207.48346875
transcript.pyannote[2697].speaker SPEAKER_22
transcript.pyannote[2697].start 29207.48346875
transcript.pyannote[2697].end 29208.07409375
transcript.pyannote[2698].speaker SPEAKER_22
transcript.pyannote[2698].start 29208.10784375
transcript.pyannote[2698].end 29210.09909375
transcript.pyannote[2699].speaker SPEAKER_22
transcript.pyannote[2699].start 29210.75721875
transcript.pyannote[2699].end 29223.58221875
transcript.pyannote[2700].speaker SPEAKER_28
transcript.pyannote[2700].start 29210.92596875
transcript.pyannote[2700].end 29211.02721875
transcript.pyannote[2701].speaker SPEAKER_00
transcript.pyannote[2701].start 29211.02721875
transcript.pyannote[2701].end 29211.06096875
transcript.pyannote[2702].speaker SPEAKER_28
transcript.pyannote[2702].start 29212.88346875
transcript.pyannote[2702].end 29213.42346875
transcript.pyannote[2703].speaker SPEAKER_28
transcript.pyannote[2703].start 29215.83659375
transcript.pyannote[2703].end 29216.32596875
transcript.pyannote[2704].speaker SPEAKER_28
transcript.pyannote[2704].start 29217.50721875
transcript.pyannote[2704].end 29218.33409375
transcript.pyannote[2705].speaker SPEAKER_22
transcript.pyannote[2705].start 29223.83534375
transcript.pyannote[2705].end 29237.82471875
transcript.pyannote[2706].speaker SPEAKER_00
transcript.pyannote[2706].start 29226.23159375
transcript.pyannote[2706].end 29226.68721875
transcript.pyannote[2707].speaker SPEAKER_28
transcript.pyannote[2707].start 29238.38159375
transcript.pyannote[2707].end 29239.02284375
transcript.pyannote[2708].speaker SPEAKER_28
transcript.pyannote[2708].start 29239.59659375
transcript.pyannote[2708].end 29240.67659375
transcript.pyannote[2709].speaker SPEAKER_28
transcript.pyannote[2709].start 29241.09846875
transcript.pyannote[2709].end 29248.81034375
transcript.pyannote[2710].speaker SPEAKER_28
transcript.pyannote[2710].start 29248.97909375
transcript.pyannote[2710].end 29250.02534375
transcript.pyannote[2711].speaker SPEAKER_28
transcript.pyannote[2711].start 29250.83534375
transcript.pyannote[2711].end 29256.40409375
transcript.pyannote[2712].speaker SPEAKER_28
transcript.pyannote[2712].start 29257.53471875
transcript.pyannote[2712].end 29260.72409375
transcript.pyannote[2713].speaker SPEAKER_27
transcript.pyannote[2713].start 29258.24346875
transcript.pyannote[2713].end 29259.25596875
transcript.pyannote[2714].speaker SPEAKER_27
transcript.pyannote[2714].start 29259.52596875
transcript.pyannote[2714].end 29259.59346875
transcript.pyannote[2715].speaker SPEAKER_28
transcript.pyannote[2715].start 29261.98971875
transcript.pyannote[2715].end 29262.56346875
transcript.pyannote[2716].speaker SPEAKER_28
transcript.pyannote[2716].start 29263.20471875
transcript.pyannote[2716].end 29265.39846875
transcript.pyannote[2717].speaker SPEAKER_28
transcript.pyannote[2717].start 29266.36034375
transcript.pyannote[2717].end 29275.01721875
transcript.pyannote[2718].speaker SPEAKER_28
transcript.pyannote[2718].start 29275.27034375
transcript.pyannote[2718].end 29281.46346875
transcript.pyannote[2719].speaker SPEAKER_28
transcript.pyannote[2719].start 29281.66596875
transcript.pyannote[2719].end 29284.93971875
transcript.pyannote[2720].speaker SPEAKER_28
transcript.pyannote[2720].start 29285.56409375
transcript.pyannote[2720].end 29290.52534375
transcript.pyannote[2721].speaker SPEAKER_28
transcript.pyannote[2721].start 29290.87971875
transcript.pyannote[2721].end 29297.20784375
transcript.pyannote[2722].speaker SPEAKER_28
transcript.pyannote[2722].start 29298.35534375
transcript.pyannote[2722].end 29312.61471875
transcript.pyannote[2723].speaker SPEAKER_28
transcript.pyannote[2723].start 29312.81721875
transcript.pyannote[2723].end 29323.27971875
transcript.pyannote[2724].speaker SPEAKER_28
transcript.pyannote[2724].start 29323.54971875
transcript.pyannote[2724].end 29325.11909375
transcript.pyannote[2725].speaker SPEAKER_28
transcript.pyannote[2725].start 29325.33846875
transcript.pyannote[2725].end 29330.46846875
transcript.pyannote[2726].speaker SPEAKER_28
transcript.pyannote[2726].start 29330.73846875
transcript.pyannote[2726].end 29331.83534375
transcript.pyannote[2727].speaker SPEAKER_28
transcript.pyannote[2727].start 29332.00409375
transcript.pyannote[2727].end 29332.69596875
transcript.pyannote[2728].speaker SPEAKER_28
transcript.pyannote[2728].start 29332.91534375
transcript.pyannote[2728].end 29334.16409375
transcript.pyannote[2729].speaker SPEAKER_28
transcript.pyannote[2729].start 29334.40034375
transcript.pyannote[2729].end 29335.71659375
transcript.pyannote[2730].speaker SPEAKER_28
transcript.pyannote[2730].start 29335.81784375
transcript.pyannote[2730].end 29339.46284375
transcript.pyannote[2731].speaker SPEAKER_28
transcript.pyannote[2731].start 29339.59784375
transcript.pyannote[2731].end 29341.26846875
transcript.pyannote[2732].speaker SPEAKER_28
transcript.pyannote[2732].start 29341.52159375
transcript.pyannote[2732].end 29342.01096875
transcript.pyannote[2733].speaker SPEAKER_28
transcript.pyannote[2733].start 29342.41596875
transcript.pyannote[2733].end 29347.46159375
transcript.pyannote[2734].speaker SPEAKER_28
transcript.pyannote[2734].start 29347.68096875
transcript.pyannote[2734].end 29352.28784375
transcript.pyannote[2735].speaker SPEAKER_28
transcript.pyannote[2735].start 29352.47346875
transcript.pyannote[2735].end 29352.89534375
transcript.pyannote[2736].speaker SPEAKER_28
transcript.pyannote[2736].start 29353.46909375
transcript.pyannote[2736].end 29355.25784375
transcript.pyannote[2737].speaker SPEAKER_28
transcript.pyannote[2737].start 29355.51096875
transcript.pyannote[2737].end 29359.02096875
transcript.pyannote[2738].speaker SPEAKER_28
transcript.pyannote[2738].start 29359.20659375
transcript.pyannote[2738].end 29360.03346875
transcript.pyannote[2739].speaker SPEAKER_28
transcript.pyannote[2739].start 29360.32034375
transcript.pyannote[2739].end 29361.51846875
transcript.pyannote[2740].speaker SPEAKER_28
transcript.pyannote[2740].start 29361.80534375
transcript.pyannote[2740].end 29362.91909375
transcript.pyannote[2741].speaker SPEAKER_28
transcript.pyannote[2741].start 29363.17221875
transcript.pyannote[2741].end 29364.35346875
transcript.pyannote[2742].speaker SPEAKER_28
transcript.pyannote[2742].start 29364.74159375
transcript.pyannote[2742].end 29366.20971875
transcript.pyannote[2743].speaker SPEAKER_28
transcript.pyannote[2743].start 29366.66534375
transcript.pyannote[2743].end 29367.72846875
transcript.pyannote[2744].speaker SPEAKER_28
transcript.pyannote[2744].start 29367.96471875
transcript.pyannote[2744].end 29370.69846875
transcript.pyannote[2745].speaker SPEAKER_29
transcript.pyannote[2745].start 29371.59284375
transcript.pyannote[2745].end 29383.20284375
transcript.pyannote[2746].speaker SPEAKER_29
transcript.pyannote[2746].start 29383.21971875
transcript.pyannote[2746].end 29383.23659375
transcript.pyannote[2747].speaker SPEAKER_25
transcript.pyannote[2747].start 29383.23659375
transcript.pyannote[2747].end 29383.75971875
transcript.pyannote[2748].speaker SPEAKER_29
transcript.pyannote[2748].start 29383.50659375
transcript.pyannote[2748].end 29398.52534375
transcript.pyannote[2749].speaker SPEAKER_25
transcript.pyannote[2749].start 29396.78721875
transcript.pyannote[2749].end 29396.82096875
transcript.pyannote[2750].speaker SPEAKER_29
transcript.pyannote[2750].start 29398.69409375
transcript.pyannote[2750].end 29403.50346875
transcript.pyannote[2751].speaker SPEAKER_29
transcript.pyannote[2751].start 29403.73971875
transcript.pyannote[2751].end 29413.93221875
transcript.pyannote[2752].speaker SPEAKER_29
transcript.pyannote[2752].start 29414.13471875
transcript.pyannote[2752].end 29443.80096875
transcript.pyannote[2753].speaker SPEAKER_00
transcript.pyannote[2753].start 29426.41971875
transcript.pyannote[2753].end 29426.47034375
transcript.pyannote[2754].speaker SPEAKER_11
transcript.pyannote[2754].start 29427.63471875
transcript.pyannote[2754].end 29427.90471875
transcript.pyannote[2755].speaker SPEAKER_27
transcript.pyannote[2755].start 29444.52659375
transcript.pyannote[2755].end 29446.63596875
transcript.pyannote[2756].speaker SPEAKER_27
transcript.pyannote[2756].start 29447.02409375
transcript.pyannote[2756].end 29448.81284375
transcript.pyannote[2757].speaker SPEAKER_29
transcript.pyannote[2757].start 29448.81284375
transcript.pyannote[2757].end 29448.93096875
transcript.pyannote[2758].speaker SPEAKER_27
transcript.pyannote[2758].start 29448.93096875
transcript.pyannote[2758].end 29448.94784375
transcript.pyannote[2759].speaker SPEAKER_28
transcript.pyannote[2759].start 29449.28534375
transcript.pyannote[2759].end 29452.40721875
transcript.pyannote[2760].speaker SPEAKER_28
transcript.pyannote[2760].start 29452.62659375
transcript.pyannote[2760].end 29455.39409375
transcript.pyannote[2761].speaker SPEAKER_28
transcript.pyannote[2761].start 29455.49534375
transcript.pyannote[2761].end 29457.58784375
transcript.pyannote[2762].speaker SPEAKER_28
transcript.pyannote[2762].start 29457.73971875
transcript.pyannote[2762].end 29460.62534375
transcript.pyannote[2763].speaker SPEAKER_28
transcript.pyannote[2763].start 29460.86159375
transcript.pyannote[2763].end 29462.00909375
transcript.pyannote[2764].speaker SPEAKER_28
transcript.pyannote[2764].start 29462.27909375
transcript.pyannote[2764].end 29467.61159375
transcript.pyannote[2765].speaker SPEAKER_28
transcript.pyannote[2765].start 29468.21909375
transcript.pyannote[2765].end 29469.88971875
transcript.pyannote[2766].speaker SPEAKER_28
transcript.pyannote[2766].start 29470.39596875
transcript.pyannote[2766].end 29472.25221875
transcript.pyannote[2767].speaker SPEAKER_28
transcript.pyannote[2767].start 29472.57284375
transcript.pyannote[2767].end 29473.65284375
transcript.pyannote[2768].speaker SPEAKER_28
transcript.pyannote[2768].start 29473.88909375
transcript.pyannote[2768].end 29474.41221875
transcript.pyannote[2769].speaker SPEAKER_28
transcript.pyannote[2769].start 29474.91846875
transcript.pyannote[2769].end 29477.51721875
transcript.pyannote[2770].speaker SPEAKER_28
transcript.pyannote[2770].start 29477.66909375
transcript.pyannote[2770].end 29478.39471875
transcript.pyannote[2771].speaker SPEAKER_28
transcript.pyannote[2771].start 29478.95159375
transcript.pyannote[2771].end 29480.58846875
transcript.pyannote[2772].speaker SPEAKER_28
transcript.pyannote[2772].start 29480.72346875
transcript.pyannote[2772].end 29481.56721875
transcript.pyannote[2773].speaker SPEAKER_28
transcript.pyannote[2773].start 29481.65159375
transcript.pyannote[2773].end 29482.22534375
transcript.pyannote[2774].speaker SPEAKER_28
transcript.pyannote[2774].start 29482.63034375
transcript.pyannote[2774].end 29483.99721875
transcript.pyannote[2775].speaker SPEAKER_28
transcript.pyannote[2775].start 29484.16596875
transcript.pyannote[2775].end 29490.98346875
transcript.pyannote[2776].speaker SPEAKER_29
transcript.pyannote[2776].start 29491.16909375
transcript.pyannote[2776].end 29496.06284375
transcript.pyannote[2777].speaker SPEAKER_28
transcript.pyannote[2777].start 29492.63721875
transcript.pyannote[2777].end 29493.26159375
transcript.pyannote[2778].speaker SPEAKER_28
transcript.pyannote[2778].start 29496.26534375
transcript.pyannote[2778].end 29498.07096875
transcript.pyannote[2779].speaker SPEAKER_28
transcript.pyannote[2779].start 29498.54346875
transcript.pyannote[2779].end 29499.37034375
transcript.pyannote[2780].speaker SPEAKER_28
transcript.pyannote[2780].start 29500.09596875
transcript.pyannote[2780].end 29504.71971875
transcript.pyannote[2781].speaker SPEAKER_28
transcript.pyannote[2781].start 29504.80409375
transcript.pyannote[2781].end 29506.98096875
transcript.pyannote[2782].speaker SPEAKER_28
transcript.pyannote[2782].start 29507.33534375
transcript.pyannote[2782].end 29508.04409375
transcript.pyannote[2783].speaker SPEAKER_28
transcript.pyannote[2783].start 29508.43221875
transcript.pyannote[2783].end 29509.96784375
transcript.pyannote[2784].speaker SPEAKER_28
transcript.pyannote[2784].start 29510.38971875
transcript.pyannote[2784].end 29515.03034375
transcript.pyannote[2785].speaker SPEAKER_28
transcript.pyannote[2785].start 29515.75596875
transcript.pyannote[2785].end 29521.84784375
transcript.pyannote[2786].speaker SPEAKER_28
transcript.pyannote[2786].start 29522.16846875
transcript.pyannote[2786].end 29524.39596875
transcript.pyannote[2787].speaker SPEAKER_28
transcript.pyannote[2787].start 29525.02034375
transcript.pyannote[2787].end 29525.40846875
transcript.pyannote[2788].speaker SPEAKER_28
transcript.pyannote[2788].start 29525.77971875
transcript.pyannote[2788].end 29530.70721875
transcript.pyannote[2789].speaker SPEAKER_28
transcript.pyannote[2789].start 29531.34846875
transcript.pyannote[2789].end 29531.83784375
transcript.pyannote[2790].speaker SPEAKER_28
transcript.pyannote[2790].start 29532.85034375
transcript.pyannote[2790].end 29534.01471875
transcript.pyannote[2791].speaker SPEAKER_28
transcript.pyannote[2791].start 29534.79096875
transcript.pyannote[2791].end 29535.34784375
transcript.pyannote[2792].speaker SPEAKER_28
transcript.pyannote[2792].start 29536.29284375
transcript.pyannote[2792].end 29536.98471875
transcript.pyannote[2793].speaker SPEAKER_28
transcript.pyannote[2793].start 29537.50784375
transcript.pyannote[2793].end 29538.73971875
transcript.pyannote[2794].speaker SPEAKER_28
transcript.pyannote[2794].start 29539.06034375
transcript.pyannote[2794].end 29540.20784375
transcript.pyannote[2795].speaker SPEAKER_28
transcript.pyannote[2795].start 29540.44409375
transcript.pyannote[2795].end 29543.73471875
transcript.pyannote[2796].speaker SPEAKER_28
transcript.pyannote[2796].start 29544.05534375
transcript.pyannote[2796].end 29545.18596875
transcript.pyannote[2797].speaker SPEAKER_28
transcript.pyannote[2797].start 29545.50659375
transcript.pyannote[2797].end 29547.04221875
transcript.pyannote[2798].speaker SPEAKER_28
transcript.pyannote[2798].start 29547.95346875
transcript.pyannote[2798].end 29548.37534375
transcript.pyannote[2799].speaker SPEAKER_28
transcript.pyannote[2799].start 29548.83096875
transcript.pyannote[2799].end 29550.40034375
transcript.pyannote[2800].speaker SPEAKER_28
transcript.pyannote[2800].start 29550.94034375
transcript.pyannote[2800].end 29551.93596875
transcript.pyannote[2801].speaker SPEAKER_28
transcript.pyannote[2801].start 29553.08346875
transcript.pyannote[2801].end 29555.74971875
transcript.pyannote[2802].speaker SPEAKER_28
transcript.pyannote[2802].start 29556.20534375
transcript.pyannote[2802].end 29557.53846875
transcript.pyannote[2803].speaker SPEAKER_28
transcript.pyannote[2803].start 29558.85471875
transcript.pyannote[2803].end 29559.58034375
transcript.pyannote[2804].speaker SPEAKER_28
transcript.pyannote[2804].start 29560.10346875
transcript.pyannote[2804].end 29561.85846875
transcript.pyannote[2805].speaker SPEAKER_28
transcript.pyannote[2805].start 29562.06096875
transcript.pyannote[2805].end 29563.36034375
transcript.pyannote[2806].speaker SPEAKER_28
transcript.pyannote[2806].start 29563.73159375
transcript.pyannote[2806].end 29571.17346875
transcript.pyannote[2807].speaker SPEAKER_28
transcript.pyannote[2807].start 29571.73034375
transcript.pyannote[2807].end 29572.15221875
transcript.pyannote[2808].speaker SPEAKER_28
transcript.pyannote[2808].start 29572.33784375
transcript.pyannote[2808].end 29574.95346875
transcript.pyannote[2809].speaker SPEAKER_28
transcript.pyannote[2809].start 29575.18971875
transcript.pyannote[2809].end 29578.66596875
transcript.pyannote[2810].speaker SPEAKER_28
transcript.pyannote[2810].start 29579.10471875
transcript.pyannote[2810].end 29582.53034375
transcript.pyannote[2811].speaker SPEAKER_28
transcript.pyannote[2811].start 29582.81721875
transcript.pyannote[2811].end 29584.40346875
transcript.pyannote[2812].speaker SPEAKER_28
transcript.pyannote[2812].start 29584.67346875
transcript.pyannote[2812].end 29585.46659375
transcript.pyannote[2813].speaker SPEAKER_28
transcript.pyannote[2813].start 29585.70284375
transcript.pyannote[2813].end 29588.28471875
transcript.pyannote[2814].speaker SPEAKER_28
transcript.pyannote[2814].start 29588.58846875
transcript.pyannote[2814].end 29600.29971875
transcript.pyannote[2815].speaker SPEAKER_28
transcript.pyannote[2815].start 29600.51909375
transcript.pyannote[2815].end 29615.03159375
transcript.pyannote[2816].speaker SPEAKER_28
transcript.pyannote[2816].start 29616.17909375
transcript.pyannote[2816].end 29617.74846875
transcript.pyannote[2817].speaker SPEAKER_28
transcript.pyannote[2817].start 29617.96784375
transcript.pyannote[2817].end 29617.98471875
transcript.pyannote[2818].speaker SPEAKER_29
transcript.pyannote[2818].start 29618.00159375
transcript.pyannote[2818].end 29627.41784375
transcript.pyannote[2819].speaker SPEAKER_00
transcript.pyannote[2819].start 29625.94971875
transcript.pyannote[2819].end 29626.23659375
transcript.pyannote[2820].speaker SPEAKER_29
transcript.pyannote[2820].start 29627.58659375
transcript.pyannote[2820].end 29633.22284375
transcript.pyannote[2821].speaker SPEAKER_29
transcript.pyannote[2821].start 29633.44221875
transcript.pyannote[2821].end 29643.26346875
transcript.pyannote[2822].speaker SPEAKER_28
transcript.pyannote[2822].start 29643.85409375
transcript.pyannote[2822].end 29645.91284375
transcript.pyannote[2823].speaker SPEAKER_28
transcript.pyannote[2823].start 29646.11534375
transcript.pyannote[2823].end 29656.96596875
transcript.pyannote[2824].speaker SPEAKER_28
transcript.pyannote[2824].start 29657.26971875
transcript.pyannote[2824].end 29669.57159375
transcript.pyannote[2825].speaker SPEAKER_30
transcript.pyannote[2825].start 29678.34659375
transcript.pyannote[2825].end 29678.73471875
transcript.pyannote[2826].speaker SPEAKER_30
transcript.pyannote[2826].start 29679.86534375
transcript.pyannote[2826].end 29681.26596875
transcript.pyannote[2827].speaker SPEAKER_30
transcript.pyannote[2827].start 29681.90721875
transcript.pyannote[2827].end 29683.30784375
transcript.pyannote[2828].speaker SPEAKER_30
transcript.pyannote[2828].start 29684.08409375
transcript.pyannote[2828].end 29690.44596875
transcript.pyannote[2829].speaker SPEAKER_30
transcript.pyannote[2829].start 29691.01971875
transcript.pyannote[2829].end 29695.67721875
transcript.pyannote[2830].speaker SPEAKER_13
transcript.pyannote[2830].start 29705.58284375
transcript.pyannote[2830].end 29709.02534375
transcript.pyannote[2831].speaker SPEAKER_30
transcript.pyannote[2831].start 29709.46409375
transcript.pyannote[2831].end 29710.72971875
transcript.pyannote[2832].speaker SPEAKER_22
transcript.pyannote[2832].start 29718.86346875
transcript.pyannote[2832].end 29718.89721875
transcript.pyannote[2833].speaker SPEAKER_21
transcript.pyannote[2833].start 29718.89721875
transcript.pyannote[2833].end 29718.91409375
transcript.pyannote[2834].speaker SPEAKER_22
transcript.pyannote[2834].start 29718.91409375
transcript.pyannote[2834].end 29718.93096875
transcript.pyannote[2835].speaker SPEAKER_21
transcript.pyannote[2835].start 29718.93096875
transcript.pyannote[2835].end 29718.98159375
transcript.pyannote[2836].speaker SPEAKER_22
transcript.pyannote[2836].start 29718.98159375
transcript.pyannote[2836].end 29719.42034375
transcript.pyannote[2837].speaker SPEAKER_13
transcript.pyannote[2837].start 29719.65659375
transcript.pyannote[2837].end 29744.73284375
transcript.pyannote[2838].speaker SPEAKER_22
transcript.pyannote[2838].start 29746.25159375
transcript.pyannote[2838].end 29748.19221875
transcript.pyannote[2839].speaker SPEAKER_13
transcript.pyannote[2839].start 29748.44534375
transcript.pyannote[2839].end 29762.08034375
transcript.pyannote[2840].speaker SPEAKER_13
transcript.pyannote[2840].start 29762.24909375
transcript.pyannote[2840].end 29765.25284375
transcript.pyannote[2841].speaker SPEAKER_22
transcript.pyannote[2841].start 29765.77596875
transcript.pyannote[2841].end 29770.88909375
transcript.pyannote[2842].speaker SPEAKER_13
transcript.pyannote[2842].start 29771.07471875
transcript.pyannote[2842].end 29771.85096875
transcript.pyannote[2843].speaker SPEAKER_22
transcript.pyannote[2843].start 29772.88034375
transcript.pyannote[2843].end 29774.50034375
transcript.pyannote[2844].speaker SPEAKER_22
transcript.pyannote[2844].start 29774.98971875
transcript.pyannote[2844].end 29777.36909375
transcript.pyannote[2845].speaker SPEAKER_22
transcript.pyannote[2845].start 29777.74034375
transcript.pyannote[2845].end 29781.31784375
transcript.pyannote[2846].speaker SPEAKER_22
transcript.pyannote[2846].start 29781.68909375
transcript.pyannote[2846].end 29784.40596875
transcript.pyannote[2847].speaker SPEAKER_13
transcript.pyannote[2847].start 29784.40596875
transcript.pyannote[2847].end 29785.51971875
transcript.pyannote[2848].speaker SPEAKER_22
transcript.pyannote[2848].start 29786.11034375
transcript.pyannote[2848].end 29787.32534375
transcript.pyannote[2849].speaker SPEAKER_22
transcript.pyannote[2849].start 29787.76409375
transcript.pyannote[2849].end 29788.69221875
transcript.pyannote[2850].speaker SPEAKER_22
transcript.pyannote[2850].start 29788.75971875
transcript.pyannote[2850].end 29792.60721875
transcript.pyannote[2851].speaker SPEAKER_13
transcript.pyannote[2851].start 29792.60721875
transcript.pyannote[2851].end 29802.81659375
transcript.pyannote[2852].speaker SPEAKER_22
transcript.pyannote[2852].start 29795.57721875
transcript.pyannote[2852].end 29796.23534375
transcript.pyannote[2853].speaker SPEAKER_22
transcript.pyannote[2853].start 29802.90096875
transcript.pyannote[2853].end 29807.27159375
transcript.pyannote[2854].speaker SPEAKER_22
transcript.pyannote[2854].start 29807.40659375
transcript.pyannote[2854].end 29808.72284375
transcript.pyannote[2855].speaker SPEAKER_22
transcript.pyannote[2855].start 29808.94221875
transcript.pyannote[2855].end 29810.44409375
transcript.pyannote[2856].speaker SPEAKER_22
transcript.pyannote[2856].start 29810.78159375
transcript.pyannote[2856].end 29814.78096875
transcript.pyannote[2857].speaker SPEAKER_22
transcript.pyannote[2857].start 29814.98346875
transcript.pyannote[2857].end 29815.05096875
transcript.pyannote[2858].speaker SPEAKER_13
transcript.pyannote[2858].start 29815.05096875
transcript.pyannote[2858].end 29818.22346875
transcript.pyannote[2859].speaker SPEAKER_22
transcript.pyannote[2859].start 29815.13534375
transcript.pyannote[2859].end 29821.78409375
transcript.pyannote[2860].speaker SPEAKER_13
transcript.pyannote[2860].start 29821.81784375
transcript.pyannote[2860].end 29823.79221875
transcript.pyannote[2861].speaker SPEAKER_22
transcript.pyannote[2861].start 29823.37034375
transcript.pyannote[2861].end 29825.15909375
transcript.pyannote[2862].speaker SPEAKER_13
transcript.pyannote[2862].start 29824.46721875
transcript.pyannote[2862].end 29833.32659375
transcript.pyannote[2863].speaker SPEAKER_22
transcript.pyannote[2863].start 29833.22534375
transcript.pyannote[2863].end 29838.60846875
transcript.pyannote[2864].speaker SPEAKER_13
transcript.pyannote[2864].start 29837.84909375
transcript.pyannote[2864].end 29844.16034375
transcript.pyannote[2865].speaker SPEAKER_22
transcript.pyannote[2865].start 29844.34596875
transcript.pyannote[2865].end 29855.24721875
transcript.pyannote[2866].speaker SPEAKER_13
transcript.pyannote[2866].start 29846.03346875
transcript.pyannote[2866].end 29848.32846875
transcript.pyannote[2867].speaker SPEAKER_22
transcript.pyannote[2867].start 29856.07409375
transcript.pyannote[2867].end 29858.70659375
transcript.pyannote[2868].speaker SPEAKER_13
transcript.pyannote[2868].start 29857.64346875
transcript.pyannote[2868].end 29858.72346875
transcript.pyannote[2869].speaker SPEAKER_22
transcript.pyannote[2869].start 29858.72346875
transcript.pyannote[2869].end 29858.79096875
transcript.pyannote[2870].speaker SPEAKER_22
transcript.pyannote[2870].start 29858.85846875
transcript.pyannote[2870].end 29859.71909375
transcript.pyannote[2871].speaker SPEAKER_22
transcript.pyannote[2871].start 29859.95534375
transcript.pyannote[2871].end 29860.86659375
transcript.pyannote[2872].speaker SPEAKER_13
transcript.pyannote[2872].start 29860.86659375
transcript.pyannote[2872].end 29879.64846875
transcript.pyannote[2873].speaker SPEAKER_22
transcript.pyannote[2873].start 29879.12534375
transcript.pyannote[2873].end 29904.37034375
transcript.pyannote[2874].speaker SPEAKER_13
transcript.pyannote[2874].start 29884.72784375
transcript.pyannote[2874].end 29885.95971875
transcript.pyannote[2875].speaker SPEAKER_13
transcript.pyannote[2875].start 29904.37034375
transcript.pyannote[2875].end 29911.47471875
transcript.pyannote[2876].speaker SPEAKER_22
transcript.pyannote[2876].start 29910.86721875
transcript.pyannote[2876].end 29918.07284375
transcript.pyannote[2877].speaker SPEAKER_13
transcript.pyannote[2877].start 29918.15721875
transcript.pyannote[2877].end 29926.39221875
transcript.pyannote[2878].speaker SPEAKER_13
transcript.pyannote[2878].start 29926.99971875
transcript.pyannote[2878].end 29936.50034375
transcript.pyannote[2879].speaker SPEAKER_22
transcript.pyannote[2879].start 29937.14159375
transcript.pyannote[2879].end 29941.24221875
transcript.pyannote[2880].speaker SPEAKER_13
transcript.pyannote[2880].start 29941.24221875
transcript.pyannote[2880].end 29942.25471875
transcript.pyannote[2881].speaker SPEAKER_22
transcript.pyannote[2881].start 29942.25471875
transcript.pyannote[2881].end 29944.92096875
transcript.pyannote[2882].speaker SPEAKER_13
transcript.pyannote[2882].start 29942.44034375
transcript.pyannote[2882].end 29942.67659375
transcript.pyannote[2883].speaker SPEAKER_13
transcript.pyannote[2883].start 29944.24596875
transcript.pyannote[2883].end 29946.45659375
transcript.pyannote[2884].speaker SPEAKER_22
transcript.pyannote[2884].start 29947.08096875
transcript.pyannote[2884].end 29949.08909375
transcript.pyannote[2885].speaker SPEAKER_13
transcript.pyannote[2885].start 29948.49846875
transcript.pyannote[2885].end 29953.56096875
transcript.pyannote[2886].speaker SPEAKER_22
transcript.pyannote[2886].start 29953.69596875
transcript.pyannote[2886].end 29955.28221875
transcript.pyannote[2887].speaker SPEAKER_13
transcript.pyannote[2887].start 29955.13034375
transcript.pyannote[2887].end 29960.98596875
transcript.pyannote[2888].speaker SPEAKER_22
transcript.pyannote[2888].start 29960.05784375
transcript.pyannote[2888].end 29963.77034375
transcript.pyannote[2889].speaker SPEAKER_13
transcript.pyannote[2889].start 29961.49221875
transcript.pyannote[2889].end 29967.82034375
transcript.pyannote[2890].speaker SPEAKER_22
transcript.pyannote[2890].start 29968.10721875
transcript.pyannote[2890].end 29970.35159375
transcript.pyannote[2891].speaker SPEAKER_13
transcript.pyannote[2891].start 29970.50346875
transcript.pyannote[2891].end 29978.21534375
transcript.pyannote[2892].speaker SPEAKER_22
transcript.pyannote[2892].start 29970.92534375
transcript.pyannote[2892].end 29971.16159375
transcript.pyannote[2893].speaker SPEAKER_22
transcript.pyannote[2893].start 29978.21534375
transcript.pyannote[2893].end 29984.22284375
transcript.pyannote[2894].speaker SPEAKER_13
transcript.pyannote[2894].start 29984.56034375
transcript.pyannote[2894].end 29989.97721875
transcript.pyannote[2895].speaker SPEAKER_22
transcript.pyannote[2895].start 29991.00659375
transcript.pyannote[2895].end 29999.88284375
transcript.pyannote[2896].speaker SPEAKER_13
transcript.pyannote[2896].start 29994.36471875
transcript.pyannote[2896].end 29995.66409375
transcript.pyannote[2897].speaker SPEAKER_13
transcript.pyannote[2897].start 29998.71846875
transcript.pyannote[2897].end 30010.22721875
transcript.pyannote[2898].speaker SPEAKER_13
transcript.pyannote[2898].start 30010.37909375
transcript.pyannote[2898].end 30015.22221875
transcript.pyannote[2899].speaker SPEAKER_25
transcript.pyannote[2899].start 30011.62784375
transcript.pyannote[2899].end 30011.84721875
transcript.pyannote[2900].speaker SPEAKER_22
transcript.pyannote[2900].start 30011.84721875
transcript.pyannote[2900].end 30012.87659375
transcript.pyannote[2901].speaker SPEAKER_22
transcript.pyannote[2901].start 30015.61034375
transcript.pyannote[2901].end 30018.85034375
transcript.pyannote[2902].speaker SPEAKER_13
transcript.pyannote[2902].start 30017.80409375
transcript.pyannote[2902].end 30023.28846875
transcript.pyannote[2903].speaker SPEAKER_22
transcript.pyannote[2903].start 30023.40659375
transcript.pyannote[2903].end 30027.84471875
transcript.pyannote[2904].speaker SPEAKER_13
transcript.pyannote[2904].start 30025.04346875
transcript.pyannote[2904].end 30027.62534375
transcript.pyannote[2905].speaker SPEAKER_06
transcript.pyannote[2905].start 30027.84471875
transcript.pyannote[2905].end 30027.86159375
transcript.pyannote[2906].speaker SPEAKER_13
transcript.pyannote[2906].start 30028.03034375
transcript.pyannote[2906].end 30044.48346875
transcript.pyannote[2907].speaker SPEAKER_22
transcript.pyannote[2907].start 30043.75784375
transcript.pyannote[2907].end 30044.98971875
transcript.pyannote[2908].speaker SPEAKER_13
transcript.pyannote[2908].start 30045.15846875
transcript.pyannote[2908].end 30051.95909375
transcript.pyannote[2909].speaker SPEAKER_22
transcript.pyannote[2909].start 30052.80284375
transcript.pyannote[2909].end 30054.52409375
transcript.pyannote[2910].speaker SPEAKER_22
transcript.pyannote[2910].start 30054.77721875
transcript.pyannote[2910].end 30056.00909375
transcript.pyannote[2911].speaker SPEAKER_13
transcript.pyannote[2911].start 30056.38034375
transcript.pyannote[2911].end 30058.69221875
transcript.pyannote[2912].speaker SPEAKER_22
transcript.pyannote[2912].start 30059.43471875
transcript.pyannote[2912].end 30062.18534375
transcript.pyannote[2913].speaker SPEAKER_22
transcript.pyannote[2913].start 30062.28659375
transcript.pyannote[2913].end 30062.80971875
transcript.pyannote[2914].speaker SPEAKER_22
transcript.pyannote[2914].start 30062.96159375
transcript.pyannote[2914].end 30063.67034375
transcript.pyannote[2915].speaker SPEAKER_22
transcript.pyannote[2915].start 30064.02471875
transcript.pyannote[2915].end 30065.74596875
transcript.pyannote[2916].speaker SPEAKER_13
transcript.pyannote[2916].start 30065.86409375
transcript.pyannote[2916].end 30072.71534375
transcript.pyannote[2917].speaker SPEAKER_22
transcript.pyannote[2917].start 30073.89659375
transcript.pyannote[2917].end 30075.55034375
transcript.pyannote[2918].speaker SPEAKER_13
transcript.pyannote[2918].start 30075.24659375
transcript.pyannote[2918].end 30078.50346875
transcript.pyannote[2919].speaker SPEAKER_22
transcript.pyannote[2919].start 30078.08159375
transcript.pyannote[2919].end 30082.35096875
transcript.pyannote[2920].speaker SPEAKER_13
transcript.pyannote[2920].start 30082.35096875
transcript.pyannote[2920].end 30094.78784375
transcript.pyannote[2921].speaker SPEAKER_22
transcript.pyannote[2921].start 30095.12534375
transcript.pyannote[2921].end 30098.16284375
transcript.pyannote[2922].speaker SPEAKER_13
transcript.pyannote[2922].start 30097.62284375
transcript.pyannote[2922].end 30104.27159375
transcript.pyannote[2923].speaker SPEAKER_22
transcript.pyannote[2923].start 30104.27159375
transcript.pyannote[2923].end 30109.43534375
transcript.pyannote[2924].speaker SPEAKER_13
transcript.pyannote[2924].start 30108.42284375
transcript.pyannote[2924].end 30113.24909375
transcript.pyannote[2925].speaker SPEAKER_22
transcript.pyannote[2925].start 30113.60346875
transcript.pyannote[2925].end 30113.89034375
transcript.pyannote[2926].speaker SPEAKER_22
transcript.pyannote[2926].start 30113.95784375
transcript.pyannote[2926].end 30122.64846875
transcript.pyannote[2927].speaker SPEAKER_13
transcript.pyannote[2927].start 30118.37909375
transcript.pyannote[2927].end 30119.25659375
transcript.pyannote[2928].speaker SPEAKER_11
transcript.pyannote[2928].start 30119.25659375
transcript.pyannote[2928].end 30119.29034375
transcript.pyannote[2929].speaker SPEAKER_13
transcript.pyannote[2929].start 30119.29034375
transcript.pyannote[2929].end 30119.32409375
transcript.pyannote[2930].speaker SPEAKER_11
transcript.pyannote[2930].start 30119.32409375
transcript.pyannote[2930].end 30119.98221875
transcript.pyannote[2931].speaker SPEAKER_13
transcript.pyannote[2931].start 30119.98221875
transcript.pyannote[2931].end 30120.48846875
transcript.pyannote[2932].speaker SPEAKER_13
transcript.pyannote[2932].start 30122.64846875
transcript.pyannote[2932].end 30124.80846875
transcript.pyannote[2933].speaker SPEAKER_22
transcript.pyannote[2933].start 30124.96034375
transcript.pyannote[2933].end 30126.51284375
transcript.pyannote[2934].speaker SPEAKER_13
transcript.pyannote[2934].start 30126.76596875
transcript.pyannote[2934].end 30130.00596875
transcript.pyannote[2935].speaker SPEAKER_22
transcript.pyannote[2935].start 30130.00596875
transcript.pyannote[2935].end 30130.34346875
transcript.pyannote[2936].speaker SPEAKER_13
transcript.pyannote[2936].start 30130.05659375
transcript.pyannote[2936].end 30131.30534375
transcript.pyannote[2937].speaker SPEAKER_22
transcript.pyannote[2937].start 30131.60909375
transcript.pyannote[2937].end 30134.17409375
transcript.pyannote[2938].speaker SPEAKER_13
transcript.pyannote[2938].start 30133.85346875
transcript.pyannote[2938].end 30138.03846875
transcript.pyannote[2939].speaker SPEAKER_22
transcript.pyannote[2939].start 30138.32534375
transcript.pyannote[2939].end 30138.81471875
transcript.pyannote[2940].speaker SPEAKER_13
transcript.pyannote[2940].start 30138.93284375
transcript.pyannote[2940].end 30139.37159375
transcript.pyannote[2941].speaker SPEAKER_22
transcript.pyannote[2941].start 30140.58659375
transcript.pyannote[2941].end 30142.54409375
transcript.pyannote[2942].speaker SPEAKER_13
transcript.pyannote[2942].start 30142.62846875
transcript.pyannote[2942].end 30145.02471875
transcript.pyannote[2943].speaker SPEAKER_22
transcript.pyannote[2943].start 30144.31596875
transcript.pyannote[2943].end 30145.81784375
transcript.pyannote[2944].speaker SPEAKER_13
transcript.pyannote[2944].start 30145.63221875
transcript.pyannote[2944].end 30147.65721875
transcript.pyannote[2945].speaker SPEAKER_22
transcript.pyannote[2945].start 30149.22659375
transcript.pyannote[2945].end 30149.34471875
transcript.pyannote[2946].speaker SPEAKER_13
transcript.pyannote[2946].start 30149.34471875
transcript.pyannote[2946].end 30149.39534375
transcript.pyannote[2947].speaker SPEAKER_22
transcript.pyannote[2947].start 30149.39534375
transcript.pyannote[2947].end 30149.59784375
transcript.pyannote[2948].speaker SPEAKER_13
transcript.pyannote[2948].start 30149.59784375
transcript.pyannote[2948].end 30150.00284375
transcript.pyannote[2949].speaker SPEAKER_22
transcript.pyannote[2949].start 30150.00284375
transcript.pyannote[2949].end 30150.05346875
transcript.pyannote[2950].speaker SPEAKER_22
transcript.pyannote[2950].start 30150.40784375
transcript.pyannote[2950].end 30154.27221875
transcript.pyannote[2951].speaker SPEAKER_13
transcript.pyannote[2951].start 30151.92659375
transcript.pyannote[2951].end 30158.35596875
transcript.pyannote[2952].speaker SPEAKER_22
transcript.pyannote[2952].start 30158.06909375
transcript.pyannote[2952].end 30159.25034375
transcript.pyannote[2953].speaker SPEAKER_13
transcript.pyannote[2953].start 30159.38534375
transcript.pyannote[2953].end 30161.10659375
transcript.pyannote[2954].speaker SPEAKER_22
transcript.pyannote[2954].start 30161.51159375
transcript.pyannote[2954].end 30164.59971875
transcript.pyannote[2955].speaker SPEAKER_13
transcript.pyannote[2955].start 30163.82346875
transcript.pyannote[2955].end 30177.07034375
transcript.pyannote[2956].speaker SPEAKER_22
transcript.pyannote[2956].start 30166.37159375
transcript.pyannote[2956].end 30167.94096875
transcript.pyannote[2957].speaker SPEAKER_22
transcript.pyannote[2957].start 30168.32909375
transcript.pyannote[2957].end 30168.93659375
transcript.pyannote[2958].speaker SPEAKER_07
transcript.pyannote[2958].start 30168.93659375
transcript.pyannote[2958].end 30168.95346875
transcript.pyannote[2959].speaker SPEAKER_25
transcript.pyannote[2959].start 30168.95346875
transcript.pyannote[2959].end 30168.98721875
transcript.pyannote[2960].speaker SPEAKER_00
transcript.pyannote[2960].start 30168.98721875
transcript.pyannote[2960].end 30169.03784375
transcript.pyannote[2961].speaker SPEAKER_22
transcript.pyannote[2961].start 30169.03784375
transcript.pyannote[2961].end 30169.10534375
transcript.pyannote[2962].speaker SPEAKER_25
transcript.pyannote[2962].start 30169.59471875
transcript.pyannote[2962].end 30169.61159375
transcript.pyannote[2963].speaker SPEAKER_22
transcript.pyannote[2963].start 30173.15534375
transcript.pyannote[2963].end 30173.99909375
transcript.pyannote[2964].speaker SPEAKER_22
transcript.pyannote[2964].start 30177.77909375
transcript.pyannote[2964].end 30179.38221875
transcript.pyannote[2965].speaker SPEAKER_13
transcript.pyannote[2965].start 30178.97721875
transcript.pyannote[2965].end 30182.13284375
transcript.pyannote[2966].speaker SPEAKER_13
transcript.pyannote[2966].start 30182.89221875
transcript.pyannote[2966].end 30198.83909375
transcript.pyannote[2967].speaker SPEAKER_13
transcript.pyannote[2967].start 30199.49721875
transcript.pyannote[2967].end 30202.26471875
transcript.pyannote[2968].speaker SPEAKER_25
transcript.pyannote[2968].start 30199.93596875
transcript.pyannote[2968].end 30200.03721875
transcript.pyannote[2969].speaker SPEAKER_22
transcript.pyannote[2969].start 30200.03721875
transcript.pyannote[2969].end 30200.13846875
transcript.pyannote[2970].speaker SPEAKER_13
transcript.pyannote[2970].start 30202.77096875
transcript.pyannote[2970].end 30205.30221875
transcript.pyannote[2971].speaker SPEAKER_22
transcript.pyannote[2971].start 30205.79159375
transcript.pyannote[2971].end 30207.51284375
transcript.pyannote[2972].speaker SPEAKER_13
transcript.pyannote[2972].start 30207.73221875
transcript.pyannote[2972].end 30208.64346875
transcript.pyannote[2973].speaker SPEAKER_22
transcript.pyannote[2973].start 30209.92596875
transcript.pyannote[2973].end 30211.83284375
transcript.pyannote[2974].speaker SPEAKER_13
transcript.pyannote[2974].start 30211.02284375
transcript.pyannote[2974].end 30211.86659375
transcript.pyannote[2975].speaker SPEAKER_22
transcript.pyannote[2975].start 30212.47409375
transcript.pyannote[2975].end 30215.81534375
transcript.pyannote[2976].speaker SPEAKER_13
transcript.pyannote[2976].start 30216.15284375
transcript.pyannote[2976].end 30221.46846875
transcript.pyannote[2977].speaker SPEAKER_13
transcript.pyannote[2977].start 30221.94096875
transcript.pyannote[2977].end 30261.10784375
transcript.pyannote[2978].speaker SPEAKER_13
transcript.pyannote[2978].start 30261.34409375
transcript.pyannote[2978].end 30264.43221875
transcript.pyannote[2979].speaker SPEAKER_13
transcript.pyannote[2979].start 30265.34346875
transcript.pyannote[2979].end 30268.54971875
transcript.pyannote[2980].speaker SPEAKER_25
transcript.pyannote[2980].start 30265.49534375
transcript.pyannote[2980].end 30266.11971875
transcript.pyannote[2981].speaker SPEAKER_22
transcript.pyannote[2981].start 30268.70159375
transcript.pyannote[2981].end 30272.80221875
transcript.pyannote[2982].speaker SPEAKER_13
transcript.pyannote[2982].start 30271.87409375
transcript.pyannote[2982].end 30273.42659375
transcript.pyannote[2983].speaker SPEAKER_13
transcript.pyannote[2983].start 30273.83159375
transcript.pyannote[2983].end 30291.17909375
transcript.pyannote[2984].speaker SPEAKER_13
transcript.pyannote[2984].start 30291.60096875
transcript.pyannote[2984].end 30294.46971875
transcript.pyannote[2985].speaker SPEAKER_22
transcript.pyannote[2985].start 30291.75284375
transcript.pyannote[2985].end 30292.66409375
transcript.pyannote[2986].speaker SPEAKER_22
transcript.pyannote[2986].start 30294.46971875
transcript.pyannote[2986].end 30300.96659375
transcript.pyannote[2987].speaker SPEAKER_13
transcript.pyannote[2987].start 30295.02659375
transcript.pyannote[2987].end 30297.47346875
transcript.pyannote[2988].speaker SPEAKER_13
transcript.pyannote[2988].start 30298.60409375
transcript.pyannote[2988].end 30305.65784375
transcript.pyannote[2989].speaker SPEAKER_22
transcript.pyannote[2989].start 30305.25284375
transcript.pyannote[2989].end 30305.53971875
transcript.pyannote[2990].speaker SPEAKER_22
transcript.pyannote[2990].start 30305.65784375
transcript.pyannote[2990].end 30309.42096875
transcript.pyannote[2991].speaker SPEAKER_13
transcript.pyannote[2991].start 30309.42096875
transcript.pyannote[2991].end 30329.48534375
transcript.pyannote[2992].speaker SPEAKER_22
transcript.pyannote[2992].start 30312.62721875
transcript.pyannote[2992].end 30313.23471875
transcript.pyannote[2993].speaker SPEAKER_16
transcript.pyannote[2993].start 30313.23471875
transcript.pyannote[2993].end 30313.25159375
transcript.pyannote[2994].speaker SPEAKER_13
transcript.pyannote[2994].start 30330.10971875
transcript.pyannote[2994].end 30332.37096875
transcript.pyannote[2995].speaker SPEAKER_22
transcript.pyannote[2995].start 30332.59034375
transcript.pyannote[2995].end 30335.93159375
transcript.pyannote[2996].speaker SPEAKER_13
transcript.pyannote[2996].start 30335.54346875
transcript.pyannote[2996].end 30337.38284375
transcript.pyannote[2997].speaker SPEAKER_13
transcript.pyannote[2997].start 30337.68659375
transcript.pyannote[2997].end 30345.39846875
transcript.pyannote[2998].speaker SPEAKER_22
transcript.pyannote[2998].start 30338.00721875
transcript.pyannote[2998].end 30339.17159375
transcript.pyannote[2999].speaker SPEAKER_22
transcript.pyannote[2999].start 30339.34034375
transcript.pyannote[2999].end 30343.05284375
transcript.pyannote[3000].speaker SPEAKER_30
transcript.pyannote[3000].start 30343.05284375
transcript.pyannote[3000].end 30343.62659375
transcript.pyannote[3001].speaker SPEAKER_22
transcript.pyannote[3001].start 30343.62659375
transcript.pyannote[3001].end 30343.71096875
transcript.pyannote[3002].speaker SPEAKER_13
transcript.pyannote[3002].start 30345.78659375
transcript.pyannote[3002].end 30349.58346875
transcript.pyannote[3003].speaker SPEAKER_30
transcript.pyannote[3003].start 30349.75221875
transcript.pyannote[3003].end 30350.73096875
transcript.pyannote[3004].speaker SPEAKER_13
transcript.pyannote[3004].start 30351.32159375
transcript.pyannote[3004].end 30351.64221875
transcript.pyannote[3005].speaker SPEAKER_13
transcript.pyannote[3005].start 30352.03034375
transcript.pyannote[3005].end 30354.37596875
transcript.pyannote[3006].speaker SPEAKER_13
transcript.pyannote[3006].start 30354.81471875
transcript.pyannote[3006].end 30357.43034375
transcript.pyannote[3007].speaker SPEAKER_13
transcript.pyannote[3007].start 30358.00409375
transcript.pyannote[3007].end 30363.89346875
transcript.pyannote[3008].speaker SPEAKER_29
transcript.pyannote[3008].start 30364.58534375
transcript.pyannote[3008].end 30366.03659375
transcript.pyannote[3009].speaker SPEAKER_29
transcript.pyannote[3009].start 30366.08721875
transcript.pyannote[3009].end 30366.10409375
transcript.pyannote[3010].speaker SPEAKER_13
transcript.pyannote[3010].start 30366.10409375
transcript.pyannote[3010].end 30373.07346875
transcript.pyannote[3011].speaker SPEAKER_29
transcript.pyannote[3011].start 30371.06534375
transcript.pyannote[3011].end 30373.56284375
transcript.pyannote[3012].speaker SPEAKER_13
transcript.pyannote[3012].start 30373.09034375
transcript.pyannote[3012].end 30373.29284375
transcript.pyannote[3013].speaker SPEAKER_29
transcript.pyannote[3013].start 30373.59659375
transcript.pyannote[3013].end 30373.63034375
transcript.pyannote[3014].speaker SPEAKER_13
transcript.pyannote[3014].start 30373.63034375
transcript.pyannote[3014].end 30376.88721875
transcript.pyannote[3015].speaker SPEAKER_29
transcript.pyannote[3015].start 30377.64659375
transcript.pyannote[3015].end 30382.03409375
transcript.pyannote[3016].speaker SPEAKER_13
transcript.pyannote[3016].start 30380.80221875
transcript.pyannote[3016].end 30383.63721875
transcript.pyannote[3017].speaker SPEAKER_29
transcript.pyannote[3017].start 30382.30409375
transcript.pyannote[3017].end 30382.32096875
transcript.pyannote[3018].speaker SPEAKER_29
transcript.pyannote[3018].start 30382.60784375
transcript.pyannote[3018].end 30382.69221875
transcript.pyannote[3019].speaker SPEAKER_29
transcript.pyannote[3019].start 30384.43034375
transcript.pyannote[3019].end 30385.88159375
transcript.pyannote[3020].speaker SPEAKER_29
transcript.pyannote[3020].start 30385.94909375
transcript.pyannote[3020].end 30385.96596875
transcript.pyannote[3021].speaker SPEAKER_13
transcript.pyannote[3021].start 30385.96596875
transcript.pyannote[3021].end 30397.50846875
transcript.pyannote[3022].speaker SPEAKER_29
transcript.pyannote[3022].start 30397.81221875
transcript.pyannote[3022].end 30400.25909375
transcript.pyannote[3023].speaker SPEAKER_13
transcript.pyannote[3023].start 30399.92159375
transcript.pyannote[3023].end 30405.59159375
transcript.pyannote[3024].speaker SPEAKER_29
transcript.pyannote[3024].start 30402.21659375
transcript.pyannote[3024].end 30405.28784375
transcript.pyannote[3025].speaker SPEAKER_29
transcript.pyannote[3025].start 30406.65471875
transcript.pyannote[3025].end 30409.47284375
transcript.pyannote[3026].speaker SPEAKER_13
transcript.pyannote[3026].start 30409.23659375
transcript.pyannote[3026].end 30433.78971875
transcript.pyannote[3027].speaker SPEAKER_11
transcript.pyannote[3027].start 30431.27534375
transcript.pyannote[3027].end 30436.55721875
transcript.pyannote[3028].speaker SPEAKER_13
transcript.pyannote[3028].start 30433.97534375
transcript.pyannote[3028].end 30437.21534375
transcript.pyannote[3029].speaker SPEAKER_13
transcript.pyannote[3029].start 30437.50221875
transcript.pyannote[3029].end 30444.18471875
transcript.pyannote[3030].speaker SPEAKER_29
transcript.pyannote[3030].start 30445.50096875
transcript.pyannote[3030].end 30447.30659375
transcript.pyannote[3031].speaker SPEAKER_29
transcript.pyannote[3031].start 30448.79159375
transcript.pyannote[3031].end 30450.25971875
transcript.pyannote[3032].speaker SPEAKER_29
transcript.pyannote[3032].start 30451.13721875
transcript.pyannote[3032].end 30453.43221875
transcript.pyannote[3033].speaker SPEAKER_13
transcript.pyannote[3033].start 30451.77846875
transcript.pyannote[3033].end 30453.83721875
transcript.pyannote[3034].speaker SPEAKER_13
transcript.pyannote[3034].start 30454.24221875
transcript.pyannote[3034].end 30456.06471875
transcript.pyannote[3035].speaker SPEAKER_29
transcript.pyannote[3035].start 30457.49909375
transcript.pyannote[3035].end 30460.90784375
transcript.pyannote[3036].speaker SPEAKER_25
transcript.pyannote[3036].start 30462.44346875
transcript.pyannote[3036].end 30462.67971875
transcript.pyannote[3037].speaker SPEAKER_29
transcript.pyannote[3037].start 30462.67971875
transcript.pyannote[3037].end 30462.88221875
transcript.pyannote[3038].speaker SPEAKER_13
transcript.pyannote[3038].start 30463.64159375
transcript.pyannote[3038].end 30465.14346875
transcript.pyannote[3039].speaker SPEAKER_13
transcript.pyannote[3039].start 30465.68346875
transcript.pyannote[3039].end 30466.86471875
transcript.pyannote[3040].speaker SPEAKER_13
transcript.pyannote[3040].start 30467.47221875
transcript.pyannote[3040].end 30470.99909375
transcript.pyannote[3041].speaker SPEAKER_13
transcript.pyannote[3041].start 30471.43784375
transcript.pyannote[3041].end 30475.69034375
transcript.pyannote[3042].speaker SPEAKER_13
transcript.pyannote[3042].start 30476.17971875
transcript.pyannote[3042].end 30476.51721875
transcript.pyannote[3043].speaker SPEAKER_13
transcript.pyannote[3043].start 30476.92221875
transcript.pyannote[3043].end 30479.60534375
transcript.pyannote[3044].speaker SPEAKER_13
transcript.pyannote[3044].start 30480.21284375
transcript.pyannote[3044].end 30482.27159375
transcript.pyannote[3045].speaker SPEAKER_22
transcript.pyannote[3045].start 30484.07721875
transcript.pyannote[3045].end 30484.49909375
transcript.pyannote[3046].speaker SPEAKER_22
transcript.pyannote[3046].start 30485.12346875
transcript.pyannote[3046].end 30486.23721875
transcript.pyannote[3047].speaker SPEAKER_13
transcript.pyannote[3047].start 30486.65909375
transcript.pyannote[3047].end 30503.21346875
transcript.pyannote[3048].speaker SPEAKER_21
transcript.pyannote[3048].start 30502.67346875
transcript.pyannote[3048].end 30504.39471875
transcript.pyannote[3049].speaker SPEAKER_13
transcript.pyannote[3049].start 30503.92221875
transcript.pyannote[3049].end 30504.47909375
transcript.pyannote[3050].speaker SPEAKER_13
transcript.pyannote[3050].start 30505.59284375
transcript.pyannote[3050].end 30526.50096875
transcript.pyannote[3051].speaker SPEAKER_29
transcript.pyannote[3051].start 30523.22721875
transcript.pyannote[3051].end 30524.07096875
transcript.pyannote[3052].speaker SPEAKER_29
transcript.pyannote[3052].start 30524.42534375
transcript.pyannote[3052].end 30531.27659375
transcript.pyannote[3053].speaker SPEAKER_13
transcript.pyannote[3053].start 30529.47096875
transcript.pyannote[3053].end 30540.55784375
transcript.pyannote[3054].speaker SPEAKER_13
transcript.pyannote[3054].start 30541.35096875
transcript.pyannote[3054].end 30567.03471875
transcript.pyannote[3055].speaker SPEAKER_13
transcript.pyannote[3055].start 30567.05159375
transcript.pyannote[3055].end 30585.34409375
transcript.pyannote[3056].speaker SPEAKER_22
transcript.pyannote[3056].start 30586.18784375
transcript.pyannote[3056].end 30588.02721875
transcript.pyannote[3057].speaker SPEAKER_22
transcript.pyannote[3057].start 30588.24659375
transcript.pyannote[3057].end 30591.75659375
transcript.pyannote[3058].speaker SPEAKER_22
transcript.pyannote[3058].start 30591.94221875
transcript.pyannote[3058].end 30599.85659375
transcript.pyannote[3059].speaker SPEAKER_13
transcript.pyannote[3059].start 30600.27846875
transcript.pyannote[3059].end 30621.16971875
transcript.pyannote[3060].speaker SPEAKER_22
transcript.pyannote[3060].start 30600.78471875
transcript.pyannote[3060].end 30600.90284375
transcript.pyannote[3061].speaker SPEAKER_13
transcript.pyannote[3061].start 30621.37221875
transcript.pyannote[3061].end 30623.16096875
transcript.pyannote[3062].speaker SPEAKER_30
transcript.pyannote[3062].start 30625.84409375
transcript.pyannote[3062].end 30627.76784375
transcript.pyannote[3063].speaker SPEAKER_30
transcript.pyannote[3063].start 30629.35409375
transcript.pyannote[3063].end 30633.91034375
transcript.pyannote[3064].speaker SPEAKER_19
transcript.pyannote[3064].start 30650.73471875
transcript.pyannote[3064].end 30654.27846875
transcript.pyannote[3065].speaker SPEAKER_30
transcript.pyannote[3065].start 30654.27846875
transcript.pyannote[3065].end 30655.22346875
transcript.pyannote[3066].speaker SPEAKER_19
transcript.pyannote[3066].start 30663.49221875
transcript.pyannote[3066].end 30663.54284375
transcript.pyannote[3067].speaker SPEAKER_28
transcript.pyannote[3067].start 30663.54284375
transcript.pyannote[3067].end 30663.69471875
transcript.pyannote[3068].speaker SPEAKER_19
transcript.pyannote[3068].start 30663.69471875
transcript.pyannote[3068].end 30665.02784375
transcript.pyannote[3069].speaker SPEAKER_28
transcript.pyannote[3069].start 30663.77909375
transcript.pyannote[3069].end 30663.88034375
transcript.pyannote[3070].speaker SPEAKER_07
transcript.pyannote[3070].start 30663.88034375
transcript.pyannote[3070].end 30663.94784375
transcript.pyannote[3071].speaker SPEAKER_28
transcript.pyannote[3071].start 30663.94784375
transcript.pyannote[3071].end 30663.98159375
transcript.pyannote[3072].speaker SPEAKER_07
transcript.pyannote[3072].start 30663.98159375
transcript.pyannote[3072].end 30664.08284375
transcript.pyannote[3073].speaker SPEAKER_28
transcript.pyannote[3073].start 30664.08284375
transcript.pyannote[3073].end 30664.69034375
transcript.pyannote[3074].speaker SPEAKER_07
transcript.pyannote[3074].start 30664.69034375
transcript.pyannote[3074].end 30664.75784375
transcript.pyannote[3075].speaker SPEAKER_19
transcript.pyannote[3075].start 30665.41596875
transcript.pyannote[3075].end 30670.25909375
transcript.pyannote[3076].speaker SPEAKER_19
transcript.pyannote[3076].start 30670.36034375
transcript.pyannote[3076].end 30679.20284375
transcript.pyannote[3077].speaker SPEAKER_19
transcript.pyannote[3077].start 30679.72596875
transcript.pyannote[3077].end 30682.18971875
transcript.pyannote[3078].speaker SPEAKER_19
transcript.pyannote[3078].start 30682.30784375
transcript.pyannote[3078].end 30690.12096875
transcript.pyannote[3079].speaker SPEAKER_19
transcript.pyannote[3079].start 30690.55971875
transcript.pyannote[3079].end 30696.34784375
transcript.pyannote[3080].speaker SPEAKER_21
transcript.pyannote[3080].start 30696.83721875
transcript.pyannote[3080].end 30697.22534375
transcript.pyannote[3081].speaker SPEAKER_19
transcript.pyannote[3081].start 30697.96784375
transcript.pyannote[3081].end 30699.03096875
transcript.pyannote[3082].speaker SPEAKER_19
transcript.pyannote[3082].start 30699.30096875
transcript.pyannote[3082].end 30704.26221875
transcript.pyannote[3083].speaker SPEAKER_19
transcript.pyannote[3083].start 30704.61659375
transcript.pyannote[3083].end 30709.07159375
transcript.pyannote[3084].speaker SPEAKER_19
transcript.pyannote[3084].start 30709.49346875
transcript.pyannote[3084].end 30713.39159375
transcript.pyannote[3085].speaker SPEAKER_19
transcript.pyannote[3085].start 30714.01596875
transcript.pyannote[3085].end 30717.76221875
transcript.pyannote[3086].speaker SPEAKER_19
transcript.pyannote[3086].start 30717.81284375
transcript.pyannote[3086].end 30719.87159375
transcript.pyannote[3087].speaker SPEAKER_19
transcript.pyannote[3087].start 30720.15846875
transcript.pyannote[3087].end 30722.20034375
transcript.pyannote[3088].speaker SPEAKER_19
transcript.pyannote[3088].start 30722.67284375
transcript.pyannote[3088].end 30728.03909375
transcript.pyannote[3089].speaker SPEAKER_19
transcript.pyannote[3089].start 30728.10659375
transcript.pyannote[3089].end 30731.85284375
transcript.pyannote[3090].speaker SPEAKER_19
transcript.pyannote[3090].start 30732.17346875
transcript.pyannote[3090].end 30732.64596875
transcript.pyannote[3091].speaker SPEAKER_19
transcript.pyannote[3091].start 30733.20284375
transcript.pyannote[3091].end 30734.60346875
transcript.pyannote[3092].speaker SPEAKER_19
transcript.pyannote[3092].start 30734.73846875
transcript.pyannote[3092].end 30737.16846875
transcript.pyannote[3093].speaker SPEAKER_19
transcript.pyannote[3093].start 30737.50596875
transcript.pyannote[3093].end 30739.07534375
transcript.pyannote[3094].speaker SPEAKER_19
transcript.pyannote[3094].start 30739.39596875
transcript.pyannote[3094].end 30745.42034375
transcript.pyannote[3095].speaker SPEAKER_19
transcript.pyannote[3095].start 30745.43721875
transcript.pyannote[3095].end 30749.74034375
transcript.pyannote[3096].speaker SPEAKER_19
transcript.pyannote[3096].start 30750.28034375
transcript.pyannote[3096].end 30756.10221875
transcript.pyannote[3097].speaker SPEAKER_19
transcript.pyannote[3097].start 30756.49034375
transcript.pyannote[3097].end 30757.03034375
transcript.pyannote[3098].speaker SPEAKER_19
transcript.pyannote[3098].start 30757.55346875
transcript.pyannote[3098].end 30762.53159375
transcript.pyannote[3099].speaker SPEAKER_19
transcript.pyannote[3099].start 30762.97034375
transcript.pyannote[3099].end 30766.29471875
transcript.pyannote[3100].speaker SPEAKER_19
transcript.pyannote[3100].start 30767.13846875
transcript.pyannote[3100].end 30774.73221875
transcript.pyannote[3101].speaker SPEAKER_19
transcript.pyannote[3101].start 30774.95159375
transcript.pyannote[3101].end 30780.72284375
transcript.pyannote[3102].speaker SPEAKER_19
transcript.pyannote[3102].start 30781.81971875
transcript.pyannote[3102].end 30785.31284375
transcript.pyannote[3103].speaker SPEAKER_19
transcript.pyannote[3103].start 30786.19034375
transcript.pyannote[3103].end 30788.36721875
transcript.pyannote[3104].speaker SPEAKER_19
transcript.pyannote[3104].start 30789.56534375
transcript.pyannote[3104].end 30793.39596875
transcript.pyannote[3105].speaker SPEAKER_19
transcript.pyannote[3105].start 30794.13846875
transcript.pyannote[3105].end 30798.17159375
transcript.pyannote[3106].speaker SPEAKER_19
transcript.pyannote[3106].start 30798.20534375
transcript.pyannote[3106].end 30802.39034375
transcript.pyannote[3107].speaker SPEAKER_19
transcript.pyannote[3107].start 30802.81221875
transcript.pyannote[3107].end 30805.14096875
transcript.pyannote[3108].speaker SPEAKER_19
transcript.pyannote[3108].start 30805.95096875
transcript.pyannote[3108].end 30808.65096875
transcript.pyannote[3109].speaker SPEAKER_19
transcript.pyannote[3109].start 30809.24159375
transcript.pyannote[3109].end 30814.55721875
transcript.pyannote[3110].speaker SPEAKER_19
transcript.pyannote[3110].start 30814.91159375
transcript.pyannote[3110].end 30818.10096875
transcript.pyannote[3111].speaker SPEAKER_19
transcript.pyannote[3111].start 30818.57346875
transcript.pyannote[3111].end 30823.56846875
transcript.pyannote[3112].speaker SPEAKER_22
transcript.pyannote[3112].start 30825.91409375
transcript.pyannote[3112].end 30828.39471875
transcript.pyannote[3113].speaker SPEAKER_22
transcript.pyannote[3113].start 30828.79971875
transcript.pyannote[3113].end 30831.01034375
transcript.pyannote[3114].speaker SPEAKER_22
transcript.pyannote[3114].start 30831.22971875
transcript.pyannote[3114].end 30833.03534375
transcript.pyannote[3115].speaker SPEAKER_22
transcript.pyannote[3115].start 30833.45721875
transcript.pyannote[3115].end 30835.36409375
transcript.pyannote[3116].speaker SPEAKER_22
transcript.pyannote[3116].start 30835.85346875
transcript.pyannote[3116].end 30836.76471875
transcript.pyannote[3117].speaker SPEAKER_22
transcript.pyannote[3117].start 30836.86596875
transcript.pyannote[3117].end 30839.16096875
transcript.pyannote[3118].speaker SPEAKER_22
transcript.pyannote[3118].start 30839.41409375
transcript.pyannote[3118].end 30841.64159375
transcript.pyannote[3119].speaker SPEAKER_22
transcript.pyannote[3119].start 30842.02971875
transcript.pyannote[3119].end 30843.14346875
transcript.pyannote[3120].speaker SPEAKER_22
transcript.pyannote[3120].start 30843.68346875
transcript.pyannote[3120].end 30846.21471875
transcript.pyannote[3121].speaker SPEAKER_22
transcript.pyannote[3121].start 30846.83909375
transcript.pyannote[3121].end 30873.99096875
transcript.pyannote[3122].speaker SPEAKER_19
transcript.pyannote[3122].start 30874.42971875
transcript.pyannote[3122].end 30884.95971875
transcript.pyannote[3123].speaker SPEAKER_22
transcript.pyannote[3123].start 30885.61784375
transcript.pyannote[3123].end 30890.52846875
transcript.pyannote[3124].speaker SPEAKER_19
transcript.pyannote[3124].start 30885.76971875
transcript.pyannote[3124].end 30886.63034375
transcript.pyannote[3125].speaker SPEAKER_22
transcript.pyannote[3125].start 30891.20346875
transcript.pyannote[3125].end 30892.55346875
transcript.pyannote[3126].speaker SPEAKER_22
transcript.pyannote[3126].start 30892.77284375
transcript.pyannote[3126].end 30898.84784375
transcript.pyannote[3127].speaker SPEAKER_19
transcript.pyannote[3127].start 30898.27409375
transcript.pyannote[3127].end 30917.25846875
transcript.pyannote[3128].speaker SPEAKER_22
transcript.pyannote[3128].start 30898.91534375
transcript.pyannote[3128].end 30898.94909375
transcript.pyannote[3129].speaker SPEAKER_22
transcript.pyannote[3129].start 30898.96596875
transcript.pyannote[3129].end 30899.43846875
transcript.pyannote[3130].speaker SPEAKER_19
transcript.pyannote[3130].start 30918.18659375
transcript.pyannote[3130].end 30931.80471875
transcript.pyannote[3131].speaker SPEAKER_19
transcript.pyannote[3131].start 30931.93971875
transcript.pyannote[3131].end 30951.17721875
transcript.pyannote[3132].speaker SPEAKER_29
transcript.pyannote[3132].start 30951.64971875
transcript.pyannote[3132].end 30962.19659375
transcript.pyannote[3133].speaker SPEAKER_19
transcript.pyannote[3133].start 30957.11721875
transcript.pyannote[3133].end 30957.91034375
transcript.pyannote[3134].speaker SPEAKER_19
transcript.pyannote[3134].start 30959.02409375
transcript.pyannote[3134].end 30983.47596875
transcript.pyannote[3135].speaker SPEAKER_19
transcript.pyannote[3135].start 30983.64471875
transcript.pyannote[3135].end 30998.03909375
transcript.pyannote[3136].speaker SPEAKER_29
transcript.pyannote[3136].start 30998.03909375
transcript.pyannote[3136].end 31000.87409375
transcript.pyannote[3137].speaker SPEAKER_19
transcript.pyannote[3137].start 31000.99221875
transcript.pyannote[3137].end 31038.62346875
transcript.pyannote[3138].speaker SPEAKER_19
transcript.pyannote[3138].start 31039.21409375
transcript.pyannote[3138].end 31055.81909375
transcript.pyannote[3139].speaker SPEAKER_19
transcript.pyannote[3139].start 31055.97096875
transcript.pyannote[3139].end 31083.10596875
transcript.pyannote[3140].speaker SPEAKER_22
transcript.pyannote[3140].start 31083.42659375
transcript.pyannote[3140].end 31086.17721875
transcript.pyannote[3141].speaker SPEAKER_21
transcript.pyannote[3141].start 31083.73034375
transcript.pyannote[3141].end 31083.83159375
transcript.pyannote[3142].speaker SPEAKER_25
transcript.pyannote[3142].start 31083.83159375
transcript.pyannote[3142].end 31084.57409375
transcript.pyannote[3143].speaker SPEAKER_19
transcript.pyannote[3143].start 31084.57409375
transcript.pyannote[3143].end 31084.67534375
transcript.pyannote[3144].speaker SPEAKER_25
transcript.pyannote[3144].start 31084.67534375
transcript.pyannote[3144].end 31084.69221875
transcript.pyannote[3145].speaker SPEAKER_22
transcript.pyannote[3145].start 31086.49784375
transcript.pyannote[3145].end 31088.40471875
transcript.pyannote[3146].speaker SPEAKER_22
transcript.pyannote[3146].start 31088.64096875
transcript.pyannote[3146].end 31089.13034375
transcript.pyannote[3147].speaker SPEAKER_22
transcript.pyannote[3147].start 31089.63659375
transcript.pyannote[3147].end 31092.62346875
transcript.pyannote[3148].speaker SPEAKER_22
transcript.pyannote[3148].start 31092.77534375
transcript.pyannote[3148].end 31094.47971875
transcript.pyannote[3149].speaker SPEAKER_22
transcript.pyannote[3149].start 31094.64846875
transcript.pyannote[3149].end 31096.13346875
transcript.pyannote[3150].speaker SPEAKER_22
transcript.pyannote[3150].start 31096.47096875
transcript.pyannote[3150].end 31098.44534375
transcript.pyannote[3151].speaker SPEAKER_22
transcript.pyannote[3151].start 31098.71534375
transcript.pyannote[3151].end 31099.89659375
transcript.pyannote[3152].speaker SPEAKER_22
transcript.pyannote[3152].start 31100.21721875
transcript.pyannote[3152].end 31100.87534375
transcript.pyannote[3153].speaker SPEAKER_22
transcript.pyannote[3153].start 31101.11159375
transcript.pyannote[3153].end 31102.98471875
transcript.pyannote[3154].speaker SPEAKER_22
transcript.pyannote[3154].start 31103.23784375
transcript.pyannote[3154].end 31106.12346875
transcript.pyannote[3155].speaker SPEAKER_22
transcript.pyannote[3155].start 31106.62971875
transcript.pyannote[3155].end 31109.78534375
transcript.pyannote[3156].speaker SPEAKER_22
transcript.pyannote[3156].start 31110.00471875
transcript.pyannote[3156].end 31111.65846875
transcript.pyannote[3157].speaker SPEAKER_22
transcript.pyannote[3157].start 31111.77659375
transcript.pyannote[3157].end 31127.30159375
transcript.pyannote[3158].speaker SPEAKER_19
transcript.pyannote[3158].start 31113.95346875
transcript.pyannote[3158].end 31115.94471875
transcript.pyannote[3159].speaker SPEAKER_19
transcript.pyannote[3159].start 31125.86721875
transcript.pyannote[3159].end 31125.91784375
transcript.pyannote[3160].speaker SPEAKER_19
transcript.pyannote[3160].start 31125.98534375
transcript.pyannote[3160].end 31134.01784375
transcript.pyannote[3161].speaker SPEAKER_19
transcript.pyannote[3161].start 31134.55784375
transcript.pyannote[3161].end 31185.95909375
transcript.pyannote[3162].speaker SPEAKER_19
transcript.pyannote[3162].start 31186.24596875
transcript.pyannote[3162].end 31201.99034375
transcript.pyannote[3163].speaker SPEAKER_29
transcript.pyannote[3163].start 31202.39534375
transcript.pyannote[3163].end 31213.90409375
transcript.pyannote[3164].speaker SPEAKER_19
transcript.pyannote[3164].start 31211.00159375
transcript.pyannote[3164].end 31216.92471875
transcript.pyannote[3165].speaker SPEAKER_29
transcript.pyannote[3165].start 31217.19471875
transcript.pyannote[3165].end 31217.31284375
transcript.pyannote[3166].speaker SPEAKER_19
transcript.pyannote[3166].start 31217.31284375
transcript.pyannote[3166].end 31217.32971875
transcript.pyannote[3167].speaker SPEAKER_29
transcript.pyannote[3167].start 31217.32971875
transcript.pyannote[3167].end 31217.36346875
transcript.pyannote[3168].speaker SPEAKER_19
transcript.pyannote[3168].start 31217.36346875
transcript.pyannote[3168].end 31222.32471875
transcript.pyannote[3169].speaker SPEAKER_19
transcript.pyannote[3169].start 31222.52721875
transcript.pyannote[3169].end 31252.66596875
transcript.pyannote[3170].speaker SPEAKER_19
transcript.pyannote[3170].start 31252.88534375
transcript.pyannote[3170].end 31253.50971875
transcript.pyannote[3171].speaker SPEAKER_19
transcript.pyannote[3171].start 31253.98221875
transcript.pyannote[3171].end 31270.82346875
transcript.pyannote[3172].speaker SPEAKER_29
transcript.pyannote[3172].start 31270.87409375
transcript.pyannote[3172].end 31279.80096875
transcript.pyannote[3173].speaker SPEAKER_19
transcript.pyannote[3173].start 31279.00784375
transcript.pyannote[3173].end 31280.67846875
transcript.pyannote[3174].speaker SPEAKER_29
transcript.pyannote[3174].start 31280.94846875
transcript.pyannote[3174].end 31292.13659375
transcript.pyannote[3175].speaker SPEAKER_19
transcript.pyannote[3175].start 31292.10284375
transcript.pyannote[3175].end 31304.11784375
transcript.pyannote[3176].speaker SPEAKER_19
transcript.pyannote[3176].start 31304.38784375
transcript.pyannote[3176].end 31309.66971875
transcript.pyannote[3177].speaker SPEAKER_19
transcript.pyannote[3177].start 31309.97346875
transcript.pyannote[3177].end 31314.85034375
transcript.pyannote[3178].speaker SPEAKER_19
transcript.pyannote[3178].start 31315.13721875
transcript.pyannote[3178].end 31364.24346875
transcript.pyannote[3179].speaker SPEAKER_29
transcript.pyannote[3179].start 31363.12971875
transcript.pyannote[3179].end 31376.35971875
transcript.pyannote[3180].speaker SPEAKER_25
transcript.pyannote[3180].start 31364.24346875
transcript.pyannote[3180].end 31364.32784375
transcript.pyannote[3181].speaker SPEAKER_19
transcript.pyannote[3181].start 31364.32784375
transcript.pyannote[3181].end 31364.37846875
transcript.pyannote[3182].speaker SPEAKER_19
transcript.pyannote[3182].start 31374.80721875
transcript.pyannote[3182].end 31381.18596875
transcript.pyannote[3183].speaker SPEAKER_29
transcript.pyannote[3183].start 31377.52409375
transcript.pyannote[3183].end 31377.76034375
transcript.pyannote[3184].speaker SPEAKER_19
transcript.pyannote[3184].start 31381.62471875
transcript.pyannote[3184].end 31387.15971875
transcript.pyannote[3185].speaker SPEAKER_29
transcript.pyannote[3185].start 31385.35409375
transcript.pyannote[3185].end 31391.26034375
transcript.pyannote[3186].speaker SPEAKER_19
transcript.pyannote[3186].start 31390.18034375
transcript.pyannote[3186].end 31391.64846875
transcript.pyannote[3187].speaker SPEAKER_19
transcript.pyannote[3187].start 31392.00284375
transcript.pyannote[3187].end 31413.97409375
transcript.pyannote[3188].speaker SPEAKER_29
transcript.pyannote[3188].start 31412.82659375
transcript.pyannote[3188].end 31428.43596875
transcript.pyannote[3189].speaker SPEAKER_25
transcript.pyannote[3189].start 31413.97409375
transcript.pyannote[3189].end 31414.22721875
transcript.pyannote[3190].speaker SPEAKER_19
transcript.pyannote[3190].start 31414.22721875
transcript.pyannote[3190].end 31414.49721875
transcript.pyannote[3191].speaker SPEAKER_19
transcript.pyannote[3191].start 31428.01409375
transcript.pyannote[3191].end 31438.91534375
transcript.pyannote[3192].speaker SPEAKER_29
transcript.pyannote[3192].start 31438.91534375
transcript.pyannote[3192].end 31441.68284375
transcript.pyannote[3193].speaker SPEAKER_19
transcript.pyannote[3193].start 31441.68284375
transcript.pyannote[3193].end 31450.47471875
transcript.pyannote[3194].speaker SPEAKER_19
transcript.pyannote[3194].start 31451.01471875
transcript.pyannote[3194].end 31452.71909375
transcript.pyannote[3195].speaker SPEAKER_19
transcript.pyannote[3195].start 31453.05659375
transcript.pyannote[3195].end 31454.52471875
transcript.pyannote[3196].speaker SPEAKER_19
transcript.pyannote[3196].start 31455.62159375
transcript.pyannote[3196].end 31461.88221875
transcript.pyannote[3197].speaker SPEAKER_19
transcript.pyannote[3197].start 31462.60784375
transcript.pyannote[3197].end 31467.31596875
transcript.pyannote[3198].speaker SPEAKER_19
transcript.pyannote[3198].start 31467.72096875
transcript.pyannote[3198].end 31470.42096875
transcript.pyannote[3199].speaker SPEAKER_00
transcript.pyannote[3199].start 31467.95721875
transcript.pyannote[3199].end 31468.07534375
transcript.pyannote[3200].speaker SPEAKER_25
transcript.pyannote[3200].start 31468.07534375
transcript.pyannote[3200].end 31468.14284375
transcript.pyannote[3201].speaker SPEAKER_00
transcript.pyannote[3201].start 31468.14284375
transcript.pyannote[3201].end 31468.24409375
transcript.pyannote[3202].speaker SPEAKER_19
transcript.pyannote[3202].start 31470.92721875
transcript.pyannote[3202].end 31471.39971875
transcript.pyannote[3203].speaker SPEAKER_19
transcript.pyannote[3203].start 31471.73721875
transcript.pyannote[3203].end 31473.15471875
transcript.pyannote[3204].speaker SPEAKER_19
transcript.pyannote[3204].start 31473.32346875
transcript.pyannote[3204].end 31486.78971875
transcript.pyannote[3205].speaker SPEAKER_19
transcript.pyannote[3205].start 31487.00909375
transcript.pyannote[3205].end 31490.36721875
transcript.pyannote[3206].speaker SPEAKER_22
transcript.pyannote[3206].start 31490.90721875
transcript.pyannote[3206].end 31492.86471875
transcript.pyannote[3207].speaker SPEAKER_19
transcript.pyannote[3207].start 31493.23596875
transcript.pyannote[3207].end 31494.80534375
transcript.pyannote[3208].speaker SPEAKER_22
transcript.pyannote[3208].start 31493.38784375
transcript.pyannote[3208].end 31500.17159375
transcript.pyannote[3209].speaker SPEAKER_19
transcript.pyannote[3209].start 31500.54284375
transcript.pyannote[3209].end 31503.79971875
transcript.pyannote[3210].speaker SPEAKER_19
transcript.pyannote[3210].start 31504.27221875
transcript.pyannote[3210].end 31535.74409375
transcript.pyannote[3211].speaker SPEAKER_19
transcript.pyannote[3211].start 31536.43596875
transcript.pyannote[3211].end 31536.85784375
transcript.pyannote[3212].speaker SPEAKER_19
transcript.pyannote[3212].start 31537.65096875
transcript.pyannote[3212].end 31540.23284375
transcript.pyannote[3213].speaker SPEAKER_19
transcript.pyannote[3213].start 31540.62096875
transcript.pyannote[3213].end 31541.49846875
transcript.pyannote[3214].speaker SPEAKER_22
transcript.pyannote[3214].start 31542.78096875
transcript.pyannote[3214].end 31543.57409375
transcript.pyannote[3215].speaker SPEAKER_22
transcript.pyannote[3215].start 31544.89034375
transcript.pyannote[3215].end 31547.69159375
transcript.pyannote[3216].speaker SPEAKER_22
transcript.pyannote[3216].start 31548.02909375
transcript.pyannote[3216].end 31549.27784375
transcript.pyannote[3217].speaker SPEAKER_22
transcript.pyannote[3217].start 31550.18909375
transcript.pyannote[3217].end 31550.88096875
transcript.pyannote[3218].speaker SPEAKER_19
transcript.pyannote[3218].start 31550.89784375
transcript.pyannote[3218].end 31553.41221875
transcript.pyannote[3219].speaker SPEAKER_22
transcript.pyannote[3219].start 31552.34909375
transcript.pyannote[3219].end 31553.02409375
transcript.pyannote[3220].speaker SPEAKER_19
transcript.pyannote[3220].start 31553.95221875
transcript.pyannote[3220].end 31567.92471875
transcript.pyannote[3221].speaker SPEAKER_30
transcript.pyannote[3221].start 31578.67409375
transcript.pyannote[3221].end 31580.02409375
transcript.pyannote[3222].speaker SPEAKER_30
transcript.pyannote[3222].start 31582.25159375
transcript.pyannote[3222].end 31584.02346875
transcript.pyannote[3223].speaker SPEAKER_30
transcript.pyannote[3223].start 31584.71534375
transcript.pyannote[3223].end 31585.94721875
transcript.pyannote[3224].speaker SPEAKER_07
transcript.pyannote[3224].start 31591.19534375
transcript.pyannote[3224].end 31594.21596875
transcript.pyannote[3225].speaker SPEAKER_30
transcript.pyannote[3225].start 31594.51971875
transcript.pyannote[3225].end 31595.71784375
transcript.pyannote[3226].speaker SPEAKER_08
transcript.pyannote[3226].start 31604.88096875
transcript.pyannote[3226].end 31604.93159375
transcript.pyannote[3227].speaker SPEAKER_22
transcript.pyannote[3227].start 31604.93159375
transcript.pyannote[3227].end 31605.48846875
transcript.pyannote[3228].speaker SPEAKER_08
transcript.pyannote[3228].start 31605.92721875
transcript.pyannote[3228].end 31606.70346875
transcript.pyannote[3229].speaker SPEAKER_08
transcript.pyannote[3229].start 31606.90596875
transcript.pyannote[3229].end 31609.89284375
transcript.pyannote[3230].speaker SPEAKER_08
transcript.pyannote[3230].start 31610.38221875
transcript.pyannote[3230].end 31616.22096875
transcript.pyannote[3231].speaker SPEAKER_08
transcript.pyannote[3231].start 31616.82846875
transcript.pyannote[3231].end 31622.53221875
transcript.pyannote[3232].speaker SPEAKER_08
transcript.pyannote[3232].start 31622.78534375
transcript.pyannote[3232].end 31627.35846875
transcript.pyannote[3233].speaker SPEAKER_08
transcript.pyannote[3233].start 31627.62846875
transcript.pyannote[3233].end 31629.04596875
transcript.pyannote[3234].speaker SPEAKER_08
transcript.pyannote[3234].start 31629.40034375
transcript.pyannote[3234].end 31634.51346875
transcript.pyannote[3235].speaker SPEAKER_08
transcript.pyannote[3235].start 31634.74971875
transcript.pyannote[3235].end 31639.94721875
transcript.pyannote[3236].speaker SPEAKER_08
transcript.pyannote[3236].start 31640.28471875
transcript.pyannote[3236].end 31656.51846875
transcript.pyannote[3237].speaker SPEAKER_22
transcript.pyannote[3237].start 31657.95284375
transcript.pyannote[3237].end 31658.32409375
transcript.pyannote[3238].speaker SPEAKER_08
transcript.pyannote[3238].start 31659.13409375
transcript.pyannote[3238].end 31659.26909375
transcript.pyannote[3239].speaker SPEAKER_08
transcript.pyannote[3239].start 31659.58971875
transcript.pyannote[3239].end 31664.14596875
transcript.pyannote[3240].speaker SPEAKER_22
transcript.pyannote[3240].start 31662.76221875
transcript.pyannote[3240].end 31663.06596875
transcript.pyannote[3241].speaker SPEAKER_22
transcript.pyannote[3241].start 31664.26409375
transcript.pyannote[3241].end 31665.02346875
transcript.pyannote[3242].speaker SPEAKER_22
transcript.pyannote[3242].start 31665.09096875
transcript.pyannote[3242].end 31672.65096875
transcript.pyannote[3243].speaker SPEAKER_08
transcript.pyannote[3243].start 31671.14909375
transcript.pyannote[3243].end 31692.42846875
transcript.pyannote[3244].speaker SPEAKER_08
transcript.pyannote[3244].start 31692.68159375
transcript.pyannote[3244].end 31695.58409375
transcript.pyannote[3245].speaker SPEAKER_08
transcript.pyannote[3245].start 31696.19159375
transcript.pyannote[3245].end 31710.88971875
transcript.pyannote[3246].speaker SPEAKER_08
transcript.pyannote[3246].start 31711.27784375
transcript.pyannote[3246].end 31728.64221875
transcript.pyannote[3247].speaker SPEAKER_22
transcript.pyannote[3247].start 31729.36784375
transcript.pyannote[3247].end 31731.05534375
transcript.pyannote[3248].speaker SPEAKER_22
transcript.pyannote[3248].start 31732.08471875
transcript.pyannote[3248].end 31737.46784375
transcript.pyannote[3249].speaker SPEAKER_22
transcript.pyannote[3249].start 31737.82221875
transcript.pyannote[3249].end 31740.65721875
transcript.pyannote[3250].speaker SPEAKER_22
transcript.pyannote[3250].start 31740.72471875
transcript.pyannote[3250].end 31742.42909375
transcript.pyannote[3251].speaker SPEAKER_22
transcript.pyannote[3251].start 31742.54721875
transcript.pyannote[3251].end 31746.96846875
transcript.pyannote[3252].speaker SPEAKER_22
transcript.pyannote[3252].start 31747.52534375
transcript.pyannote[3252].end 31749.44909375
transcript.pyannote[3253].speaker SPEAKER_08
transcript.pyannote[3253].start 31749.75284375
transcript.pyannote[3253].end 31756.04721875
transcript.pyannote[3254].speaker SPEAKER_08
transcript.pyannote[3254].start 31756.36784375
transcript.pyannote[3254].end 31758.73034375
transcript.pyannote[3255].speaker SPEAKER_08
transcript.pyannote[3255].start 31758.96659375
transcript.pyannote[3255].end 31771.23471875
transcript.pyannote[3256].speaker SPEAKER_21
transcript.pyannote[3256].start 31771.57221875
transcript.pyannote[3256].end 31771.97721875
transcript.pyannote[3257].speaker SPEAKER_08
transcript.pyannote[3257].start 31772.44971875
transcript.pyannote[3257].end 31782.37221875
transcript.pyannote[3258].speaker SPEAKER_08
transcript.pyannote[3258].start 31782.55784375
transcript.pyannote[3258].end 31785.13971875
transcript.pyannote[3259].speaker SPEAKER_08
transcript.pyannote[3259].start 31785.46034375
transcript.pyannote[3259].end 31789.91534375
transcript.pyannote[3260].speaker SPEAKER_08
transcript.pyannote[3260].start 31790.15159375
transcript.pyannote[3260].end 31793.22284375
transcript.pyannote[3261].speaker SPEAKER_22
transcript.pyannote[3261].start 31793.84721875
transcript.pyannote[3261].end 31796.93534375
transcript.pyannote[3262].speaker SPEAKER_22
transcript.pyannote[3262].start 31797.40784375
transcript.pyannote[3262].end 31797.91409375
transcript.pyannote[3263].speaker SPEAKER_22
transcript.pyannote[3263].start 31798.15034375
transcript.pyannote[3263].end 31802.60534375
transcript.pyannote[3264].speaker SPEAKER_22
transcript.pyannote[3264].start 31802.89221875
transcript.pyannote[3264].end 31805.47409375
transcript.pyannote[3265].speaker SPEAKER_22
transcript.pyannote[3265].start 31805.72721875
transcript.pyannote[3265].end 31807.24596875
transcript.pyannote[3266].speaker SPEAKER_22
transcript.pyannote[3266].start 31808.02221875
transcript.pyannote[3266].end 31812.96659375
transcript.pyannote[3267].speaker SPEAKER_22
transcript.pyannote[3267].start 31813.16909375
transcript.pyannote[3267].end 31813.59096875
transcript.pyannote[3268].speaker SPEAKER_22
transcript.pyannote[3268].start 31814.04659375
transcript.pyannote[3268].end 31816.37534375
transcript.pyannote[3269].speaker SPEAKER_22
transcript.pyannote[3269].start 31816.78034375
transcript.pyannote[3269].end 31819.24409375
transcript.pyannote[3270].speaker SPEAKER_22
transcript.pyannote[3270].start 31819.68284375
transcript.pyannote[3270].end 31823.68221875
transcript.pyannote[3271].speaker SPEAKER_08
transcript.pyannote[3271].start 31824.23909375
transcript.pyannote[3271].end 31836.15284375
transcript.pyannote[3272].speaker SPEAKER_08
transcript.pyannote[3272].start 31836.52409375
transcript.pyannote[3272].end 31839.51096875
transcript.pyannote[3273].speaker SPEAKER_08
transcript.pyannote[3273].start 31839.89909375
transcript.pyannote[3273].end 31844.16846875
transcript.pyannote[3274].speaker SPEAKER_08
transcript.pyannote[3274].start 31844.35409375
transcript.pyannote[3274].end 31848.33659375
transcript.pyannote[3275].speaker SPEAKER_08
transcript.pyannote[3275].start 31848.58971875
transcript.pyannote[3275].end 31867.75971875
transcript.pyannote[3276].speaker SPEAKER_08
transcript.pyannote[3276].start 31868.13096875
transcript.pyannote[3276].end 31877.26034375
transcript.pyannote[3277].speaker SPEAKER_22
transcript.pyannote[3277].start 31878.45846875
transcript.pyannote[3277].end 31881.64784375
transcript.pyannote[3278].speaker SPEAKER_08
transcript.pyannote[3278].start 31881.91784375
transcript.pyannote[3278].end 31884.70221875
transcript.pyannote[3279].speaker SPEAKER_22
transcript.pyannote[3279].start 31883.38596875
transcript.pyannote[3279].end 31888.09409375
transcript.pyannote[3280].speaker SPEAKER_08
transcript.pyannote[3280].start 31888.44846875
transcript.pyannote[3280].end 31903.29846875
transcript.pyannote[3281].speaker SPEAKER_29
transcript.pyannote[3281].start 31903.93971875
transcript.pyannote[3281].end 31904.14221875
transcript.pyannote[3282].speaker SPEAKER_22
transcript.pyannote[3282].start 31904.14221875
transcript.pyannote[3282].end 31904.20971875
transcript.pyannote[3283].speaker SPEAKER_29
transcript.pyannote[3283].start 31904.20971875
transcript.pyannote[3283].end 31904.59784375
transcript.pyannote[3284].speaker SPEAKER_22
transcript.pyannote[3284].start 31904.59784375
transcript.pyannote[3284].end 31904.74971875
transcript.pyannote[3285].speaker SPEAKER_08
transcript.pyannote[3285].start 31905.50909375
transcript.pyannote[3285].end 31906.01534375
transcript.pyannote[3286].speaker SPEAKER_29
transcript.pyannote[3286].start 31905.86346875
transcript.pyannote[3286].end 31921.60784375
transcript.pyannote[3287].speaker SPEAKER_08
transcript.pyannote[3287].start 31909.45784375
transcript.pyannote[3287].end 31909.93034375
transcript.pyannote[3288].speaker SPEAKER_08
transcript.pyannote[3288].start 31918.14846875
transcript.pyannote[3288].end 31918.50284375
transcript.pyannote[3289].speaker SPEAKER_08
transcript.pyannote[3289].start 31921.57409375
transcript.pyannote[3289].end 31933.52159375
transcript.pyannote[3290].speaker SPEAKER_08
transcript.pyannote[3290].start 31933.82534375
transcript.pyannote[3290].end 31954.10909375
transcript.pyannote[3291].speaker SPEAKER_08
transcript.pyannote[3291].start 31954.42971875
transcript.pyannote[3291].end 31962.90096875
transcript.pyannote[3292].speaker SPEAKER_29
transcript.pyannote[3292].start 31960.80846875
transcript.pyannote[3292].end 31963.49159375
transcript.pyannote[3293].speaker SPEAKER_08
transcript.pyannote[3293].start 31963.69409375
transcript.pyannote[3293].end 31964.84159375
transcript.pyannote[3294].speaker SPEAKER_29
transcript.pyannote[3294].start 31964.11596875
transcript.pyannote[3294].end 31965.73596875
transcript.pyannote[3295].speaker SPEAKER_08
transcript.pyannote[3295].start 31965.49971875
transcript.pyannote[3295].end 31966.76534375
transcript.pyannote[3296].speaker SPEAKER_29
transcript.pyannote[3296].start 31967.06909375
transcript.pyannote[3296].end 31983.57284375
transcript.pyannote[3297].speaker SPEAKER_08
transcript.pyannote[3297].start 31967.08596875
transcript.pyannote[3297].end 31968.90846875
transcript.pyannote[3298].speaker SPEAKER_08
transcript.pyannote[3298].start 31983.94409375
transcript.pyannote[3298].end 31993.83284375
transcript.pyannote[3299].speaker SPEAKER_08
transcript.pyannote[3299].start 31994.11971875
transcript.pyannote[3299].end 32006.53971875
transcript.pyannote[3300].speaker SPEAKER_22
transcript.pyannote[3300].start 32009.05409375
transcript.pyannote[3300].end 32012.88471875
transcript.pyannote[3301].speaker SPEAKER_22
transcript.pyannote[3301].start 32013.50909375
transcript.pyannote[3301].end 32014.18409375
transcript.pyannote[3302].speaker SPEAKER_22
transcript.pyannote[3302].start 32014.63971875
transcript.pyannote[3302].end 32024.12346875
transcript.pyannote[3303].speaker SPEAKER_00
transcript.pyannote[3303].start 32019.51659375
transcript.pyannote[3303].end 32019.53346875
transcript.pyannote[3304].speaker SPEAKER_08
transcript.pyannote[3304].start 32019.53346875
transcript.pyannote[3304].end 32020.36034375
transcript.pyannote[3305].speaker SPEAKER_08
transcript.pyannote[3305].start 32024.51159375
transcript.pyannote[3305].end 32027.54909375
transcript.pyannote[3306].speaker SPEAKER_22
transcript.pyannote[3306].start 32028.66284375
transcript.pyannote[3306].end 32035.59846875
transcript.pyannote[3307].speaker SPEAKER_08
transcript.pyannote[3307].start 32031.17721875
transcript.pyannote[3307].end 32032.29096875
transcript.pyannote[3308].speaker SPEAKER_08
transcript.pyannote[3308].start 32035.59846875
transcript.pyannote[3308].end 32039.80034375
transcript.pyannote[3309].speaker SPEAKER_08
transcript.pyannote[3309].start 32040.10409375
transcript.pyannote[3309].end 32062.49721875
transcript.pyannote[3310].speaker SPEAKER_08
transcript.pyannote[3310].start 32062.68284375
transcript.pyannote[3310].end 32067.50909375
transcript.pyannote[3311].speaker SPEAKER_08
transcript.pyannote[3311].start 32067.66096875
transcript.pyannote[3311].end 32073.88784375
transcript.pyannote[3312].speaker SPEAKER_22
transcript.pyannote[3312].start 32074.30971875
transcript.pyannote[3312].end 32075.50784375
transcript.pyannote[3313].speaker SPEAKER_22
transcript.pyannote[3313].start 32075.69346875
transcript.pyannote[3313].end 32077.31346875
transcript.pyannote[3314].speaker SPEAKER_22
transcript.pyannote[3314].start 32077.70159375
transcript.pyannote[3314].end 32077.81971875
transcript.pyannote[3315].speaker SPEAKER_29
transcript.pyannote[3315].start 32077.81971875
transcript.pyannote[3315].end 32083.82721875
transcript.pyannote[3316].speaker SPEAKER_08
transcript.pyannote[3316].start 32083.82721875
transcript.pyannote[3316].end 32085.24471875
transcript.pyannote[3317].speaker SPEAKER_29
transcript.pyannote[3317].start 32084.87346875
transcript.pyannote[3317].end 32086.32471875
transcript.pyannote[3318].speaker SPEAKER_08
transcript.pyannote[3318].start 32086.39221875
transcript.pyannote[3318].end 32099.20034375
transcript.pyannote[3319].speaker SPEAKER_08
transcript.pyannote[3319].start 32099.52096875
transcript.pyannote[3319].end 32101.41096875
transcript.pyannote[3320].speaker SPEAKER_08
transcript.pyannote[3320].start 32101.81596875
transcript.pyannote[3320].end 32106.47346875
transcript.pyannote[3321].speaker SPEAKER_20
transcript.pyannote[3321].start 32106.97971875
transcript.pyannote[3321].end 32107.38471875
transcript.pyannote[3322].speaker SPEAKER_08
transcript.pyannote[3322].start 32107.85721875
transcript.pyannote[3322].end 32113.59471875
transcript.pyannote[3323].speaker SPEAKER_08
transcript.pyannote[3323].start 32113.91534375
transcript.pyannote[3323].end 32121.69471875
transcript.pyannote[3324].speaker SPEAKER_29
transcript.pyannote[3324].start 32123.26409375
transcript.pyannote[3324].end 32124.07409375
transcript.pyannote[3325].speaker SPEAKER_29
transcript.pyannote[3325].start 32125.42409375
transcript.pyannote[3325].end 32134.67159375
transcript.pyannote[3326].speaker SPEAKER_08
transcript.pyannote[3326].start 32132.37659375
transcript.pyannote[3326].end 32160.22034375
transcript.pyannote[3327].speaker SPEAKER_22
transcript.pyannote[3327].start 32162.86971875
transcript.pyannote[3327].end 32164.25346875
transcript.pyannote[3328].speaker SPEAKER_08
transcript.pyannote[3328].start 32164.89471875
transcript.pyannote[3328].end 32176.09971875
transcript.pyannote[3329].speaker SPEAKER_08
transcript.pyannote[3329].start 32176.28534375
transcript.pyannote[3329].end 32179.25534375
transcript.pyannote[3330].speaker SPEAKER_08
transcript.pyannote[3330].start 32179.60971875
transcript.pyannote[3330].end 32182.81596875
transcript.pyannote[3331].speaker SPEAKER_08
transcript.pyannote[3331].start 32183.37284375
transcript.pyannote[3331].end 32194.94909375
transcript.pyannote[3332].speaker SPEAKER_22
transcript.pyannote[3332].start 32195.67471875
transcript.pyannote[3332].end 32197.86846875
transcript.pyannote[3333].speaker SPEAKER_22
transcript.pyannote[3333].start 32198.49284375
transcript.pyannote[3333].end 32205.81659375
transcript.pyannote[3334].speaker SPEAKER_22
transcript.pyannote[3334].start 32206.08659375
transcript.pyannote[3334].end 32206.98096875
transcript.pyannote[3335].speaker SPEAKER_22
transcript.pyannote[3335].start 32207.55471875
transcript.pyannote[3335].end 32208.85409375
transcript.pyannote[3336].speaker SPEAKER_08
transcript.pyannote[3336].start 32209.44471875
transcript.pyannote[3336].end 32213.35971875
transcript.pyannote[3337].speaker SPEAKER_22
transcript.pyannote[3337].start 32214.15284375
transcript.pyannote[3337].end 32214.35534375
transcript.pyannote[3338].speaker SPEAKER_08
transcript.pyannote[3338].start 32215.50284375
transcript.pyannote[3338].end 32216.26221875
transcript.pyannote[3339].speaker SPEAKER_22
transcript.pyannote[3339].start 32216.26221875
transcript.pyannote[3339].end 32217.69659375
transcript.pyannote[3340].speaker SPEAKER_08
transcript.pyannote[3340].start 32217.94971875
transcript.pyannote[3340].end 32220.29534375
transcript.pyannote[3341].speaker SPEAKER_22
transcript.pyannote[3341].start 32221.17284375
transcript.pyannote[3341].end 32223.77159375
transcript.pyannote[3342].speaker SPEAKER_22
transcript.pyannote[3342].start 32223.99096875
transcript.pyannote[3342].end 32226.50534375
transcript.pyannote[3343].speaker SPEAKER_22
transcript.pyannote[3343].start 32226.65721875
transcript.pyannote[3343].end 32227.24784375
transcript.pyannote[3344].speaker SPEAKER_22
transcript.pyannote[3344].start 32227.70346875
transcript.pyannote[3344].end 32228.63159375
transcript.pyannote[3345].speaker SPEAKER_22
transcript.pyannote[3345].start 32229.05346875
transcript.pyannote[3345].end 32233.57596875
transcript.pyannote[3346].speaker SPEAKER_22
transcript.pyannote[3346].start 32233.62659375
transcript.pyannote[3346].end 32233.64346875
transcript.pyannote[3347].speaker SPEAKER_22
transcript.pyannote[3347].start 32233.71096875
transcript.pyannote[3347].end 32237.50784375
transcript.pyannote[3348].speaker SPEAKER_08
transcript.pyannote[3348].start 32238.14909375
transcript.pyannote[3348].end 32251.71659375
transcript.pyannote[3349].speaker SPEAKER_08
transcript.pyannote[3349].start 32251.96971875
transcript.pyannote[3349].end 32256.42471875
transcript.pyannote[3350].speaker SPEAKER_22
transcript.pyannote[3350].start 32256.50909375
transcript.pyannote[3350].end 32261.97659375
transcript.pyannote[3351].speaker SPEAKER_08
transcript.pyannote[3351].start 32261.97659375
transcript.pyannote[3351].end 32266.06034375
transcript.pyannote[3352].speaker SPEAKER_22
transcript.pyannote[3352].start 32263.34346875
transcript.pyannote[3352].end 32264.00159375
transcript.pyannote[3353].speaker SPEAKER_08
transcript.pyannote[3353].start 32266.33034375
transcript.pyannote[3353].end 32267.79846875
transcript.pyannote[3354].speaker SPEAKER_08
transcript.pyannote[3354].start 32268.27096875
transcript.pyannote[3354].end 32279.64471875
transcript.pyannote[3355].speaker SPEAKER_08
transcript.pyannote[3355].start 32279.99909375
transcript.pyannote[3355].end 32281.75409375
transcript.pyannote[3356].speaker SPEAKER_08
transcript.pyannote[3356].start 32282.54721875
transcript.pyannote[3356].end 32290.14096875
transcript.pyannote[3357].speaker SPEAKER_08
transcript.pyannote[3357].start 32290.29284375
transcript.pyannote[3357].end 32294.76471875
transcript.pyannote[3358].speaker SPEAKER_08
transcript.pyannote[3358].start 32294.88284375
transcript.pyannote[3358].end 32303.43846875
transcript.pyannote[3359].speaker SPEAKER_08
transcript.pyannote[3359].start 32303.55659375
transcript.pyannote[3359].end 32310.62721875
transcript.pyannote[3360].speaker SPEAKER_08
transcript.pyannote[3360].start 32310.86346875
transcript.pyannote[3360].end 32325.79784375
transcript.pyannote[3361].speaker SPEAKER_08
transcript.pyannote[3361].start 32326.60784375
transcript.pyannote[3361].end 32333.25659375
transcript.pyannote[3362].speaker SPEAKER_08
transcript.pyannote[3362].start 32334.13409375
transcript.pyannote[3362].end 32341.33971875
transcript.pyannote[3363].speaker SPEAKER_22
transcript.pyannote[3363].start 32342.45346875
transcript.pyannote[3363].end 32345.72721875
transcript.pyannote[3364].speaker SPEAKER_22
transcript.pyannote[3364].start 32346.36846875
transcript.pyannote[3364].end 32348.93346875
transcript.pyannote[3365].speaker SPEAKER_22
transcript.pyannote[3365].start 32349.27096875
transcript.pyannote[3365].end 32352.49409375
transcript.pyannote[3366].speaker SPEAKER_22
transcript.pyannote[3366].start 32352.74721875
transcript.pyannote[3366].end 32357.40471875
transcript.pyannote[3367].speaker SPEAKER_29
transcript.pyannote[3367].start 32357.40471875
transcript.pyannote[3367].end 32363.34471875
transcript.pyannote[3368].speaker SPEAKER_22
transcript.pyannote[3368].start 32357.53971875
transcript.pyannote[3368].end 32357.55659375
transcript.pyannote[3369].speaker SPEAKER_08
transcript.pyannote[3369].start 32357.55659375
transcript.pyannote[3369].end 32357.57346875
transcript.pyannote[3370].speaker SPEAKER_22
transcript.pyannote[3370].start 32357.57346875
transcript.pyannote[3370].end 32357.59034375
transcript.pyannote[3371].speaker SPEAKER_08
transcript.pyannote[3371].start 32357.59034375
transcript.pyannote[3371].end 32360.10471875
transcript.pyannote[3372].speaker SPEAKER_08
transcript.pyannote[3372].start 32363.27721875
transcript.pyannote[3372].end 32374.38096875
transcript.pyannote[3373].speaker SPEAKER_08
transcript.pyannote[3373].start 32374.87034375
transcript.pyannote[3373].end 32380.03409375
transcript.pyannote[3374].speaker SPEAKER_08
transcript.pyannote[3374].start 32380.27034375
transcript.pyannote[3374].end 32387.72909375
transcript.pyannote[3375].speaker SPEAKER_08
transcript.pyannote[3375].start 32388.48846875
transcript.pyannote[3375].end 32396.33534375
transcript.pyannote[3376].speaker SPEAKER_08
transcript.pyannote[3376].start 32396.53784375
transcript.pyannote[3376].end 32403.65909375
transcript.pyannote[3377].speaker SPEAKER_22
transcript.pyannote[3377].start 32404.82346875
transcript.pyannote[3377].end 32408.48534375
transcript.pyannote[3378].speaker SPEAKER_22
transcript.pyannote[3378].start 32409.39659375
transcript.pyannote[3378].end 32412.60284375
transcript.pyannote[3379].speaker SPEAKER_22
transcript.pyannote[3379].start 32413.26096875
transcript.pyannote[3379].end 32417.24346875
transcript.pyannote[3380].speaker SPEAKER_22
transcript.pyannote[3380].start 32417.41221875
transcript.pyannote[3380].end 32418.22221875
transcript.pyannote[3381].speaker SPEAKER_22
transcript.pyannote[3381].start 32418.23909375
transcript.pyannote[3381].end 32419.38659375
transcript.pyannote[3382].speaker SPEAKER_22
transcript.pyannote[3382].start 32419.57221875
transcript.pyannote[3382].end 32422.99784375
transcript.pyannote[3383].speaker SPEAKER_22
transcript.pyannote[3383].start 32423.14971875
transcript.pyannote[3383].end 32425.19159375
transcript.pyannote[3384].speaker SPEAKER_22
transcript.pyannote[3384].start 32425.76534375
transcript.pyannote[3384].end 32427.01409375
transcript.pyannote[3385].speaker SPEAKER_22
transcript.pyannote[3385].start 32427.13221875
transcript.pyannote[3385].end 32431.46909375
transcript.pyannote[3386].speaker SPEAKER_08
transcript.pyannote[3386].start 32431.68846875
transcript.pyannote[3386].end 32437.03784375
transcript.pyannote[3387].speaker SPEAKER_08
transcript.pyannote[3387].start 32437.34159375
transcript.pyannote[3387].end 32442.33659375
transcript.pyannote[3388].speaker SPEAKER_08
transcript.pyannote[3388].start 32442.64034375
transcript.pyannote[3388].end 32448.90096875
transcript.pyannote[3389].speaker SPEAKER_08
transcript.pyannote[3389].start 32449.27221875
transcript.pyannote[3389].end 32493.51846875
transcript.pyannote[3390].speaker SPEAKER_08
transcript.pyannote[3390].start 32494.02471875
transcript.pyannote[3390].end 32499.57659375
transcript.pyannote[3391].speaker SPEAKER_08
transcript.pyannote[3391].start 32500.03221875
transcript.pyannote[3391].end 32506.68096875
transcript.pyannote[3392].speaker SPEAKER_08
transcript.pyannote[3392].start 32506.98471875
transcript.pyannote[3392].end 32512.03034375
transcript.pyannote[3393].speaker SPEAKER_08
transcript.pyannote[3393].start 32513.29596875
transcript.pyannote[3393].end 32521.81784375
transcript.pyannote[3394].speaker SPEAKER_30
transcript.pyannote[3394].start 32530.39034375
transcript.pyannote[3394].end 32530.79534375
transcript.pyannote[3395].speaker SPEAKER_30
transcript.pyannote[3395].start 32532.33096875
transcript.pyannote[3395].end 32534.47409375
transcript.pyannote[3396].speaker SPEAKER_30
transcript.pyannote[3396].start 32539.31721875
transcript.pyannote[3396].end 32543.23221875
transcript.pyannote[3397].speaker SPEAKER_00
transcript.pyannote[3397].start 32539.40159375
transcript.pyannote[3397].end 32539.90784375
transcript.pyannote[3398].speaker SPEAKER_30
transcript.pyannote[3398].start 32543.70471875
transcript.pyannote[3398].end 32555.16284375
transcript.whisperx[0].start 1738.626
transcript.whisperx[0].end 1739.152
transcript.whisperx[0].text 主席
transcript.whisperx[1].start 1796.949
transcript.whisperx[1].end 1805.733
transcript.whisperx[1].text 卓院長,各位閣議員早安。報告委員會,現在我們進行國是論壇每位委員發言3分鐘。首先我們請吳春成委員發言。卓院長,今天
transcript.whisperx[2].start 1826.55
transcript.whisperx[2].end 1841.682
transcript.whisperx[2].text 主要來跟行政院做這個溝通。 國發會昨天公布了延遲了兩個月的人口推估報告, 證實了少子高齡化社會
transcript.whisperx[3].start 1842.622
transcript.whisperx[3].end 1860.427
transcript.whisperx[3].text 已經定型,而且是不可逆轉的局勢。 到了2025年,明年在兩個多月,臺灣一半的人口將超過45歲,壯世代成為勞動的主力。 到了2070年,我國15到64歲的人口數將降為697萬人,同樣的65歲上的人也佔697萬人。
transcript.whisperx[4].start 1873.82
transcript.whisperx[4].end 1895.964
transcript.whisperx[4].text 人口跟青壯年跟壯時代人口相當所以混零經濟定型高齡社會定型混零經濟定型這是昨天這份報告當中很重要的兩個訊息那也證實了翻轉700萬的壯時代是成為國家發展動力唯一的出路
transcript.whisperx[5].start 1901.431
transcript.whisperx[5].end 1916.443
transcript.whisperx[5].text 那壯世代是一場社會的覺醒運動,我在民間推動個人的覺醒,逐漸的取代老人跟因法族,也逐漸成為輿論的主流。這一年來進入國會推動政府的覺醒,
transcript.whisperx[6].start 1917.043
transcript.whisperx[6].end 1938.851
transcript.whisperx[6].text 我要感謝過去陪同走過這條路的人,特別是在立法院由63位跨黨派的立委、240位的專家所組成的壯促會。還有感謝卓院長允諾成立的行政院的壯世代跨部會小組,還有陳時中政務委領導的13個部會。
transcript.whisperx[7].start 1941.212
transcript.whisperx[7].end 1959.634
transcript.whisperx[7].text 一起來推動壯時代特別是勞動部推動壯時代重返至常不遺餘力所以最後我要拜託卓院長這個是國家興亡的信念這個一定要超越黨派的惡鬥以昌生為念所以拜託卓院長
transcript.whisperx[8].start 1960.495
transcript.whisperx[8].end 1986.145
transcript.whisperx[8].text 全力來支持行政院壯世代政策辦公室的成立,以及拜託韓院長在立法院推動壯世代政策與產業發展促進法的立法工作當中,能夠給予大力的支持,希望在臺灣正式進入超高齡社會元年的時候,我們兩院能夠一起送給全民這兩份的大禮物。謝謝。
transcript.whisperx[9].start 1989.633
transcript.whisperx[9].end 1990.053
transcript.whisperx[9].text 你知道臺電為什麼
transcript.whisperx[10].start 2014.322
transcript.whisperx[10].end 2042.597
transcript.whisperx[10].text 幾千億 幾千億 一直虧損 像個無底洞一樣一旦虧損 就要求國庫來撥補撥了三千億不夠 又要再撥一千億你敢不撥補 它就給你漲電價為什麼台電就像個無底洞一樣 一直虧一直虧呢我幫大家找到原因了
transcript.whisperx[11].start 2043.649
transcript.whisperx[11].end 2068.896
transcript.whisperx[11].text 因為臺灣有一群白狼族不斷地空手套白狼從臺電套取了大筆大筆幾百億幾百億的利益然後臺電坐視不理昨天我開了一場記者會舉發經濟部縱容這個白狼族空手套白狼在2017年的時候
transcript.whisperx[12].start 2071.803
transcript.whisperx[12].end 2097.785
transcript.whisperx[12].text 有一家公司叫達德他獲得經濟部允許用百分之百獨資來取得允能的風場的經營當時經濟部就怕變成是一個套利的一個金錢遊戲所以呢規定限制如果發起的廠商
transcript.whisperx[13].start 2099.175
transcript.whisperx[13].end 2123.988
transcript.whisperx[13].text 以後要試股,不可以試股到50%以下。 為什麼呢?因為政府給這些工廠的價格是非常高昂的。 台丁又短購電價是非常高昂的,有幾百億的利益在裡面。 不讓它變成套利的遊戲。 但是5年的時間你知道達德做了什麼事情嗎?
transcript.whisperx[14].start 2125.287
transcript.whisperx[14].end 2139.47
transcript.whisperx[14].text 他從100%變成73%變成48%變成25%變成0成功的脫手了 完美的空手套白狼了
transcript.whisperx[15].start 2140.435
transcript.whisperx[15].end 2161.265
transcript.whisperx[15].text 按照經濟部在他的事故會議當中的要求﹖曾經一度覺得事態嚴重﹖要求不可以再事故﹖不可以再變更﹖如果變更的話﹖就要裁罰19.2億元的違約賠償﹖另外加上不再給你短購的電價﹖
transcript.whisperx[16].start 2163.146
transcript.whisperx[16].end 2185.82
transcript.whisperx[16].text 5.8元等候電價砍到剩2.13元的迴避成本就給你原來該給的不給你所謂的高昂的利益算起來3塊多的所謂的價差乘以5年的經營加上22億度的發電高達400億就是這樣子就被空手套牌套空了
transcript.whisperx[17].start 2186.943
transcript.whisperx[17].end 2192.848
transcript.whisperx[17].text 這是為什麼今天臺電一直虧損經濟部一直在縱容空手套牌浪謝謝大家
transcript.whisperx[18].start 2217.55
transcript.whisperx[18].end 2230.766
transcript.whisperx[18].text 經濟部長郭志輝突然提出了海外要蓋太陽能光電廠, 透過海底電纜或船運的方式將綠電送回臺灣。 天馬行空的奇想讓全國震驚。
transcript.whisperx[19].start 2231.769
transcript.whisperx[19].end 2256.379
transcript.whisperx[19].text 大家都在問為何郭志輝部長會突如其來的拋出菲律賓蓋電廠買綠電的議題。今年6月17日,雲報公司宣布要在菲律賓蓋太陽能光電廠,並在9月24日向經濟部投審司遞件。目前只差部分的文件漏章,補件完成就可以完成被查。
transcript.whisperx[20].start 2257.659
transcript.whisperx[20].end 2271.785
transcript.whisperx[20].text 這種速度跟預判的能力,似乎有神力加持,令人佩服不已。 國人都在問,為什麼綠有有總能超前部署,經濟部是綠有有圖利部嗎?
transcript.whisperx[21].start 2271.785
transcript.whisperx[21].end 2274.286
transcript.whisperx[21].text 為何只有綠能,你我都不能?
transcript.whisperx[22].start 2275.256
transcript.whisperx[22].end 2290.057
transcript.whisperx[22].text 行政程序法第6條寫得清清楚楚。 行政行為非有正當的理由不得為差別待遇。 但我們可以看到,從民進黨執政後,經濟部為綠油油開了各種的方便大門。
transcript.whisperx[23].start 2291.479
transcript.whisperx[23].end 2310.575
transcript.whisperx[23].text 從臺南屏東的光電案,再到桃園的SRF案,都有經濟部圖利特定人的疑慮。 檢調系統,迄今沒有積極的查辦,這對奉公守法的民眾極為的不公平。 難道民進黨政府只為特定人服務,只會圖利自己人嗎?
transcript.whisperx[24].start 2311.716
transcript.whisperx[24].end 2330.516
transcript.whisperx[24].text 郭志偉部長沒有經過通盤的考量就拋出要在菲律賓蓋電廠300公里海纜電力傳送回臺灣的損耗高達33%,高額的成本誰要負擔?一度電的成本是多少?預備賣給民眾多少?還是要由臺電等購?
transcript.whisperx[25].start 2331.877
transcript.whisperx[25].end 2335.438
transcript.whisperx[25].text 巴西海峽蓋海底電纜可能面臨的主權爭議要怎麼解決?
transcript.whisperx[26].start 2335.438
transcript.whisperx[26].end 2335.858
transcript.whisperx[26].text 未來的電價還要漲多少?
transcript.whisperx[27].start 2335.858
transcript.whisperx[27].end 2339.459
transcript.whisperx[27].text 這些問題郭知維部長都沒有談。 10月16日雲報公司的股價一開盤就從216元漲到225元。 郭部長的這種操作不僅讓人懷疑是在圖利特定人。
transcript.whisperx[28].start 2353.764
transcript.whisperx[28].end 2367.572
transcript.whisperx[28].text 臺灣目前沒有足夠的土地可以蓋光電。 民進黨政府又不要核電。 國部長只能著急地宣布在菲律賓蓋光電廠。 這無心之舉正好說明了臺灣的電不夠。 民進黨說不缺電,實際上卻是缺電缺很大。 臺電董事長也證實臺灣北部缺200億度電。
transcript.whisperx[29].start 2374.876
transcript.whisperx[29].end 2384.718
transcript.whisperx[29].text 現在最大的問題是民進黨的意識形態作祟不願調整錯誤的能源政策導致臺電公司在113年編列了1286億購買235億度電114年編列1546億元購買286億度電臺電虧損連連只能調整電價補虧推損全國民眾只能幫民進黨錯誤的政策
transcript.whisperx[30].start 2406.26
transcript.whisperx[30].end 2409.751
transcript.whisperx[30].text 謝謝徐宇貞委員的發言 接下來請登記第4號 洪孟凱委員發言
transcript.whisperx[31].start 2423.891
transcript.whisperx[31].end 2437.759
transcript.whisperx[31].text 主席、行政官員以及各位立院同仁執政不是家家酒我們希望中華民國長治久安就請行政團隊好好的瞭解民意、掌握民意並且貼近民意有人說
transcript.whisperx[32].start 2439.181
transcript.whisperx[32].end 2465.299
transcript.whisperx[32].text 一個好的領導者或是好的執政團隊會有三個層次。 最上層次是能夠謀定而後動,領導國人帶領方向。 中層次是瞭解現在民眾苦民所苦,當看到民眾的需求的時候適時調整政策符合民意。 下層次是真的做了錯誤的決策的時候亡羊補牢猶未完矣。
transcript.whisperx[33].start 2466.32
transcript.whisperx[33].end 2481.291
transcript.whisperx[33].text 但我們看到民進黨政府現在政府跟這三個層次完全沒有關係因為現在民進黨政府不只是沒有這三個層次還背道而馳跟台灣的主流民意對幹上個禮拜也就是這個禮拜
transcript.whisperx[34].start 2482.853
transcript.whisperx[34].end 2496.029
transcript.whisperx[34].text 經濟部、教育部突然間都讓國人完全嘩然。 一下子經濟部長講說要在菲律賓種電。 一下子教育部要求青年扶勤同意書還要家長簽名蓋章。 我們要問
transcript.whisperx[35].start 2497.403
transcript.whisperx[35].end 2526.085
transcript.whisperx[35].text 民進黨政府不要越活越回去2023年去年的2月的時候當時國防部預告說修所謂的全民動員防衛法的時候就已經讓國人擔憂認為說是不是會有所謂青年上戰場的疑慮不到一個月的時間國防部不敢修相關的法令教育部當時扶擒同意書也就悄悄下架沒想到選舉選完了現在教育部又再推出
transcript.whisperx[36].start 2526.545
transcript.whisperx[36].end 2526.565
transcript.whisperx[36].text 三、4、5、6、7、8、9、10、11、12、13、14、15、16、17、18、19、20、21、22、23、24、25、26、27、28、29、30、31、32、33、34、35、36、37、40、40、41、42、43、44、45、46、46、47、49、49、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、
transcript.whisperx[37].start 2550.802
transcript.whisperx[37].end 2554.465
transcript.whisperx[37].text 有拿綠卡的、有生活在其他國家的,都先回來一起保衛台灣這塊土地嗎?
transcript.whisperx[38].start 2568.675
transcript.whisperx[38].end 2592.42
transcript.whisperx[38].text 不要把人的兒子死不了再來菲律賓重電把電賣交在別人的手上用數百公里的電纜或者是運輸船來運輸這樣子真的符合我們的經濟效益真的符合我們的國家安全嗎不要再說你是誤闖政治叢林的小白兔根本就是一個政治小白所以
transcript.whisperx[39].start 2593.3
transcript.whisperx[39].end 2614.117
transcript.whisperx[39].text 我們拜託我們的官員們,好好瞭解現在的民意,主流的民意,掌握方向,執政不是家家酒,已經快上任半年了,不要再搞這種兒戲的把戲了,謝謝。謝謝洪峰凱委員的發言,接下來請登記第5號陳金威委的發言。
transcript.whisperx[40].start 2625.151
transcript.whisperx[40].end 2646.749
transcript.whisperx[40].text 主席、各位官員、還有委員同事、媒體朋友,大家早安。我們光輝的10月同時也是粉紅乳癌防治月,所以今天讓我們藉由這個機會關心我們全國的婦女同胞。乳癌是台灣女性發生率第一名、死亡率第二名的癌症,每年有1萬多診斷的案例,
transcript.whisperx[41].start 2648.53
transcript.whisperx[41].end 2664.672
transcript.whisperx[41].text 平均每天全台有31位被告知診斷出乳癌,也就代表有31個不知所措接到2號的家庭,並且有7.7位女性每天因為乳癌而過世。
transcript.whisperx[42].start 2665.914
transcript.whisperx[42].end 2693.103
transcript.whisperx[42].text 而乳癌其中有一種三陰性﹐更是癌友們避之唯恐不及的大魔王﹐佔我們所有乳癌的比例12到15%﹐好發在年輕的女性﹐同時還有高復發率﹐高轉移率﹐高死亡率這樣的特性﹐它可以存活的關鍵在於是否發生轉移﹐一旦轉移到重要的器官﹐就會使存活率大大的降低﹐
transcript.whisperx[43].start 2693.903
transcript.whisperx[43].end 2718.048
transcript.whisperx[43].text 前幾天我出席一場乳癌防治的活動﹖就遇到年僅29歲的年輕女生﹖過去漸漸從來沒有看到過紅字﹖也沒有家庭病史的健康寶寶﹖卻在某一天摸到左側乳房有硬塊﹖後續接受各種檢查才發現已經罹患了早期高風險的三陰性乳癌﹖
transcript.whisperx[44].start 2718.968
transcript.whisperx[44].end 2737.963
transcript.whisperx[44].text 然而對於這名女孩知道罹患乳癌並非最痛苦的事而是整個治療過程和巨額的費用首先呢她必須扛起數百萬的自費新一代藥物兩年的治療期間醫療手術費用就超過500萬元
transcript.whisperx[45].start 2739.784
transcript.whisperx[45].end 2754.546
transcript.whisperx[45].text 如果他沒有持續的暴病在科技業工作,加上家人幫忙,還有商業的保險支援,換做一般人根本難以負擔,直接的醫療支出以及間接的經濟損失都非常大。
transcript.whisperx[46].start 2755.987
transcript.whisperx[46].end 2779.853
transcript.whisperx[46].text 雖說三陰性乳癌並非無藥可治﹐但比起我們現在健保給付的其他乳癌﹐比如早期荷爾蒙陽性﹐還有HER2陽性﹐都有多種藥物納入健保﹐唯有三陰性乳癌只給付了化療藥﹐但現在國際的指引﹐建議還必須加上免疫治療﹐且數前數後的輔助治療等等來降低復發﹐
transcript.whisperx[47].start 2780.953
transcript.whisperx[47].end 2807.378
transcript.whisperx[47].text 很遺憾三陰性雖然佔比12到15%可是它就像乳癌個案的孤兒一樣至今最適宜的療法都尚未納入我們的健保給付所以在這裡本席呼籲政府加速彌補這樣子的缺口把完整的化療並用免疫療法納入我們不要去漏接任何一位的乳癌病友希望落實健康平權一起翻轉謝謝
transcript.whisperx[48].start 2812.571
transcript.whisperx[48].end 2818.829
transcript.whisperx[48].text 謝謝陳金威委員的發言。 報告委員會,現在登記國是論壇發言的委員均已發言完畢。 我們現在休息。
transcript.whisperx[49].start 5408.917
transcript.whisperx[49].end 5416.539
transcript.whisperx[49].text 現在我們開會,因程序委員會以本次議事日程草案送院會處理,現有黨團依本院議事成立,對本次議事日程草案提出異議。
transcript.whisperx[50].start 5431.085
transcript.whisperx[50].end 5440.39
transcript.whisperx[50].text 現在我們進行處理並截止收案我們先進行報告事項等提議部分請議事人員宣讀黨團之提議內容
transcript.whisperx[51].start 5441.434
transcript.whisperx[51].end 5469.779
transcript.whisperx[51].text 本院民進黨黨團﹐針對立法院第11屆第2會期第5次會議(事由.報告事項﹐擬請增列行政院含情審議﹐114年度中央政府總預算案﹐含附屬單位預算及總計表營業及非營業部分﹐及中央政府前瞻基礎建設計畫第5期特別預算案案﹐其餘照一事成草案所列報告事項﹐質詢事項﹐對行政院院長施政報告繼續質詢﹐是否有當進行公決。
transcript.whisperx[52].start 5471.099
transcript.whisperx[52].end 5477.742
transcript.whisperx[52].text 本院臺灣民眾黨黨團﹐針對第11屆第2會期第5次會議﹐議程報告事項﹐諮詢事項﹐對行政院院長施政報告繼續質詢﹐提應僅限列原編擬議程草案及增列報告事項﹐
transcript.whisperx[53].start 5487.325
transcript.whisperx[53].end 5513.59
transcript.whisperx[53].text ﹚下表所列15案﹚如下列表﹚是否有道進行公決。本任中國國民黨立法院黨團﹚針對第11屆第2會期第5次會議﹚一、事由﹚報告事項﹚及質詢事項﹚對行政院院長施政報告繼續質詢﹚僅限列原編理一傳草案﹚及三列報告事項﹚如下表共15案﹚是否有道進行公決。宣讀完畢
transcript.whisperx[54].start 5516.221
transcript.whisperx[54].end 5527.207
transcript.whisperx[54].text 區議院會﹚對民進黨黨團提議通過﹚有無異議?偵獵總預算有無異議?沒有異議?偵獵總預算有無異議?有異議?
transcript.whisperx[55].start 5544.837
transcript.whisperx[55].end 5550.745
transcript.whisperx[55].text 有異議我們就進行表決。 我們現在按鈴7分鐘並分發表決卡。
transcript.whisperx[56].start 6002.864
transcript.whisperx[56].end 6028.18
transcript.whisperx[56].text 好謝謝謝謝各位委員敬請回座請問都有沒有拿到表決卡沒有簽到的請趕快簽到報言會跟議會報告一個好消息今天是兩位立法委員的生日我們洪森漢委員跟黃珊珊委員今天過生日我們幫她掌聲呼和生日快樂好
transcript.whisperx[57].start 6031.365
transcript.whisperx[57].end 6038.13
transcript.whisperx[57].text 現在針對民進黨黨團提議現有民進黨黨團臺灣民眾黨黨團要求記名表決我們記名表決時間一分鐘我們現在開始
transcript.whisperx[58].start 6131.61
transcript.whisperx[58].end 6132.011
transcript.whisperx[58].text 主席
transcript.whisperx[59].start 6484.883
transcript.whisperx[59].end 6486.886
transcript.whisperx[59].text 謝謝!各位現在請回座好嗎?謝謝!
transcript.whisperx[60].start 6506.715
transcript.whisperx[60].end 6515.707
transcript.whisperx[60].text 各位委員同仁麻煩請就座,我們宣讀表決結果好嗎?麻煩各黨團幹部約束一下,各黨團成員請就座
transcript.whisperx[61].start 6516.96
transcript.whisperx[61].end 6524.484
transcript.whisperx[61].text 非常感謝各位委員謝謝現在宣讀表決結果出席委員107位贊成49位反對58位民進黨黨團提議不通過現有民進黨團提議重複表決我們現在進行重複表決對民進黨黨團提議贊成請按贊成反對請按反對時間1分鐘現在開始
transcript.whisperx[62].start 6613.991
transcript.whisperx[62].end 6624.898
transcript.whisperx[62].text 報言會在報告重複表決結果出席107位贊成49位反對58位民黨黨團提議不通過報言會現在我們進行處理臺灣民眾黨黨團僅限列之提議因國民黨團之提議與臺灣民眾黨黨團提議相同我們就一併處理請問院會對臺灣民眾黨黨團國民黨黨團提議通過有無異議
transcript.whisperx[63].start 6644.457
transcript.whisperx[63].end 6657.12
transcript.whisperx[63].text 沒有異議我們本提議照案通過。 報告委員會本次會議事日程包括事項、質詢事項﹖對行政院院長施政報告繼續質詢。 照台灣民眾黨團、國民黨黨團提議通過。 報告委員會我們現在繼續處理討論事項部分。 現在處理台灣民眾黨團增列討論事項提供議案。 請議事人員宣讀提議內容。
transcript.whisperx[64].start 6669.417
transcript.whisperx[64].end 6689.005
transcript.whisperx[64].text 本院臺灣民眾黨黨團針對第11屆第2會期第5次會議.事由.草案提議增列討論事項二案如下列表,列為討論事項第一及第二案,並於對行政院院長施政報告繼續執行前進行處理,是否有當進行公決?請問院會對臺灣民眾黨黨團這提議有無異議?沒有異議。我們本提議照案通過。
transcript.whisperx[65].start 6697.762
transcript.whisperx[65].end 6724.173
transcript.whisperx[65].text 委員會現在處理國民黨團陣列討論事項提供一案。請議事人員宣讀提議內容。本院中國國民黨黨團陣列第11屆第2會期第5次會議一事成草案,提議陣列討論事項三案如下列表,順序授權議事處排列,並於對行政院院長施政報告繼續質詢前進行處理,是否有當進行公決,宣讀完畢。委員會對國民黨團提有無異議,
transcript.whisperx[66].start 6727.847
transcript.whisperx[66].end 6750.352
transcript.whisperx[66].text 沒有異議,我們本提議照案通過。本次會議議事日程討論事項,照臺灣民眾黨團、國民黨黨團提議通過順序,我們授權依序排列。本次會議議事日程確定。 辦議會現在進行報告事項,請民事長宣讀第二會期第4次會議議事錄。宣讀立完。
transcript.whisperx[67].start 6754.031
transcript.whisperx[67].end 6765.62
transcript.whisperx[67].text 宣讀立法院第11屆第2會期第4次會議.事由.時間綜合名為113年10月11日上午9時至9時14分、10時至11時45分、下午2時30分至5時39分.10月15日上午9時至11時50分、下午2時30分至4時25分.地點本院議場出席委員、陳委員招職等112人、請假委員、陳委員學生
transcript.whisperx[68].start 6781.638
transcript.whisperx[68].end 6793.967
transcript.whisperx[68].text 列席官員、行政院院長卓榮泰等15人、主席院長韓國瑜、副院長江啟臣。 報告事項,第一案宣讀本院第11屆第2會期第3次會議事錄,決定確定第二次162至190案。
transcript.whisperx[69].start 6803.072
transcript.whisperx[69].end 6827.801
transcript.whisperx[69].text 均決定交互相關委員會審查處理或交互相關委員會。 第161案決定退回程序委員會重新提出。 第191案決定改交內政委員會審查。 第192、193案為財政委員會所提示報告案執行事項夾。 行政院答覆部分一件,以委員執行部分三件,對行政院長施政報告繼續質詢。 決定下次會議進行交通組織質詢。
transcript.whisperx[70].start 6832.832
transcript.whisperx[70].end 6861.861
transcript.whisperx[70].text 討論事項.案決議.定期處理.宣讀完畢。 報議會針對第二會期第4次會議.事錄並無委員或黨團提出錯誤或遺漏之處,我們做以下之決定。 第二會期第4次會議.事錄確定。 報議會現在處理針列部分,請宣讀第一案。 第一案本院委員徐曉新等17人理據學生輔導法部分條文修正常請審議案。 依視處理件,您請回交教育及文化委員會審查。 宣讀完畢。
transcript.whisperx[71].start 6862.66
transcript.whisperx[71].end 6881.25
transcript.whisperx[71].text 貿易會針對第一案現有國民黨團提議淨附二讀與相關提案併案協商請問院會有異議有異議沒有異議我們通過我們現在請本案淨附二讀與相關提案併案協商現在我們進入第二案
transcript.whisperx[72].start 6882.15
transcript.whisperx[72].end 6891.463
transcript.whisperx[72].text 第2案,本院委員徐曉新的17年離聚,消防法部分條維修正常,請審議案。 議事處意見,理情委員會將內政委員會審查,宣讀完畢。
transcript.whisperx[73].start 6894.83
transcript.whisperx[73].end 6914.17
transcript.whisperx[73].text 第三案,本院委員高清素梅等17人累據原住民族基本法第18條條維修慎草案請審議案,依稀處理件,立請委員會將內政委員會審查,宣傳必。報告委員會針對針對報告事項第三案,現有民進黨黨團體退回程序委員會重新提出,請委員會有異議。
transcript.whisperx[74].start 6917.438
transcript.whisperx[74].end 6929.003
transcript.whisperx[74].text 有異.反對本案進行表決現在針對民進黨黨團提針對事項第三案退回程序委員會我們進行表決表決時間一分鐘現在開始
transcript.whisperx[75].start 7026.563
transcript.whisperx[75].end 7032.692
transcript.whisperx[75].text 謝謝各位委員 現在宣讀一下表決結果
transcript.whisperx[76].start 7036.658
transcript.whisperx[76].end 7044.063
transcript.whisperx[76].text 出席委員106位、贊成49位、反對57位、抱怨會贊成者少數。抱怨會現在由民進黨黨團提議重複表決。我們現在進行重複表決時間一分鐘。現在開始。
transcript.whisperx[77].start 7139.76
transcript.whisperx[77].end 7139.921
transcript.whisperx[77].text 報告表決結果
transcript.whisperx[78].start 7172.514
transcript.whisperx[78].end 7199.325
transcript.whisperx[78].text 報言會報告重複表決結果麻煩院會麻煩院會請肅靜好嗎?謝謝麻煩院會請保持肅靜重複表決結果出席106位贊成49位反對57位贊成則少數不通過本案遭遇事處說明準一屆通過我們現在下一案第4案
transcript.whisperx[79].start 7199.707
transcript.whisperx[79].end 7227.482
transcript.whisperx[79].text 第4案(本院委員(黃孟凱的21人理據道路交通管理處罰條例第12條條文修正草案請審議案(依次處理件依請委員會交交通委員會審查宣讀完畢。 宣讀完畢第5案(本院委員(王振旭的24人理據醫療法增令第71條之一條文草案請審議案(依次處理件依請委員會交社會福利及衛生環境委員會審查宣讀完畢。 全員會有異無異通過下案
transcript.whisperx[80].start 7227.93
transcript.whisperx[80].end 7255.863
transcript.whisperx[80].text 第6案本院委員王振旭等24人理據取民健康保險法第43條條文修正常情緒一案,依次促進理情和社會福利及衛生環境維護審查,宣讀完畢。 無異通過下議案第7案本院委員陳瑩等17人理據國家中醫藥研究院設置條例草案情緒一案,依次促進理情和社會福利及衛生環境維護審查,宣讀完畢。 無異通過下議案第8案
transcript.whisperx[81].start 7257.233
transcript.whisperx[81].end 7285.572
transcript.whisperx[81].text 本院委員吳麗華、德學仁理據、國家語言研究發展新設施條例草案侵水疑案。 依釋處意見你請院會交付司法及法治、教育及文化、聯委會審查。 宣讀完畢無以通過下一案!沒有!你去看!你去看我的公案!你故意的!本院委員吳麗華、德學仁理據、國家語言研究發展新設施條例草案侵水疑案。依釋處意見你請院會交付司法及法治、教育及文化、聯委會審查。 宣讀完畢
transcript.whisperx[82].start 7287.799
transcript.whisperx[82].end 7290.38
transcript.whisperx[82].text 無異通過下議案。無異通過下議案。無異通過下議案。
transcript.whisperx[83].start 7313.991
transcript.whisperx[83].end 7314.492
transcript.whisperx[83].text 無異通過下議案
transcript.whisperx[84].start 7328.171
transcript.whisperx[84].end 7355.467
transcript.whisperx[84].text 第13案 本月委員黃捷等18日臨據《性別平等工作法》第15條條維修慎草案請審議案。 議事處意見,例行會交由社會福利及衛生環境委員會審查。 宣讀完畢。無異通過下一案 第14案 本月台灣民眾黨黨團臨據《氣候變遷因應法》第二條及第五條條維修慎草案請審議案。 議事處意見,例行會交由社會福利及衛生環境經濟財政內政交通教育及文化立委委員會審查。 宣讀完畢。
transcript.whisperx[85].start 7357.288
transcript.whisperx[85].end 7368.994
transcript.whisperx[85].text 第15案 本院臺灣民眾黨的團理局﹐證券交易稅條例部分條文修正草案請稅一案﹐一事處一件,臨時委員會交財政委員會審查﹐宣讀完畢。報告院會﹐我們本次會議報告事項記載於議事錄順序,授權議事處調整﹐現在我們繼續處理原列報告事項﹐請宣讀第二案。
transcript.whisperx[86].start 7381.055
transcript.whisperx[86].end 7386.964
transcript.whisperx[86].text 第1、2案本院委員王宏威等23人聯聚明方法第2條集體21條條維修證草案請審議案。 議事處意見明請回交內政委員會審查。 宣讀完畢。
transcript.whisperx[87].start 7392.099
transcript.whisperx[87].end 7416.873
transcript.whisperx[87].text 無異通過下議案。 第三案,本院委員王宏偉等16人鄰居所得稅法第14條至8條維修證草案請審議案,依釋出意見您請回交財政委員會審查,宣讀外閉。 無異通過下議案。 第四案,本院委員王宏偉等17人鄰居勞工保險條例第74條至2條維修證草案請審議案,依釋出意見您請回交社會福利及衛生環境委員會審查,宣讀外閉。 無異通過下議案。
transcript.whisperx[88].start 7417.313
transcript.whisperx[88].end 7428.336
transcript.whisperx[88].text 第5案 本院委員王宏威的25人聯聚 全民健康保險法第10條及第12條條文修憲草案請選一案 議事處意見 引請會長 社會福利 優先環境委員會審查 宣布完畢
transcript.whisperx[89].start 7429.011
transcript.whisperx[89].end 7455.596
transcript.whisperx[89].text 無異通過下議案。 第6案本院院翁曉琳等17屆連續《中華民國刑法》第185條至3條文修憲草案請水一案。 一系處意見,臨時會交司法及法定委員會審查。 宣討完畢。 無異通過下議案。 第7案本院院翁曉琳等16屆連續《考試院組織法》第7條、第10條及第11條條文修憲草案請水一案。 一系處意見,臨時會交司法及法定委員會審查。 宣討完畢。 無異通過下議案。
transcript.whisperx[90].start 7456.016
transcript.whisperx[90].end 7473.165
transcript.whisperx[90].text 第八案 本月由翁曉琳等17人聯聚老人福利法第25條條維修現場勤稅案,依次促進,另請會長、社會福利及衛生環境委員會審查。 宣傳完畢報告事項第八項,現有國民黨團體禁服二讀與相關提案,並按協商。 請問會議有異議?
transcript.whisperx[91].start 7473.165
transcript.whisperx[91].end 7473.245
transcript.whisperx[91].text 異議通過,下一案
transcript.whisperx[92].start 7476.226
transcript.whisperx[92].end 7500.692
transcript.whisperx[92].text ﹗第9案本院委員羅志強的23人領據公職人員選舉報名法增定第24條之一條文草案情水疑案,依次促見理事會將內政委員會審查,宣布完畢。﹗第10案本院委員羅志強的29人領據《中華民國刑法》增定第37章章明及第364條條文草案情水疑案,依次促見理事會將司法及法治委員會審查,宣布完畢。﹗
transcript.whisperx[93].start 7502.392
transcript.whisperx[93].end 7508.578
transcript.whisperx[93].text 第11案,委員委員王玉敏等17年連續《國土計畫法》第45條條維修現場請選一案,依次促進議情會教內政委會審查。 宣傳完畢。
transcript.whisperx[94].start 7514.312
transcript.whisperx[94].end 7536.833
transcript.whisperx[94].text 第12案本院委員李昆城的20人領據地方資助法第78條條文修憲草案情水移案,依次促進,依次會交內政司法及法制聯務委員會審查,宣讀完畢。 無異通過下一案第13案本院委員李昆城的20人領據動物保護法部分條文修憲草案情水移案,依次促進,依次會交經濟委員會審查,宣讀完畢。 無異通過下一案
transcript.whisperx[95].start 7537.133
transcript.whisperx[95].end 7560.13
transcript.whisperx[95].text 第14案 本月委員李昆城的23人離聚,保險房增訂第174條主要及第174條之三條文草原侵稅案,一事出現,理情會交財政委員會審查,宣傳完畢。 無異通過下一案第15案 本月委員李昆城的23人離聚,娛樂稅房部分條文修正草原侵稅案,一事出現,理情會交財政委員會審查,宣傳完畢。 無異通過下一案
transcript.whisperx[96].start 7560.43
transcript.whisperx[96].end 7580.03
transcript.whisperx[96].text 第16案,委員委員李昏神的22人邻居,預算法第46條條維修證草案競選一案,依次促進,立行會將財政委員會審查,宣讀完畢。 無異通過下議案第17案,委員委員李昏神的22人邻居,證券交易稅條例第二條之二條維修證草案競選一案,依次促進,立行會將財政委員會審查,宣讀完畢。
transcript.whisperx[97].start 7581.832
transcript.whisperx[97].end 7584.234
transcript.whisperx[97].text 御議通過下議案御議通過下議案御議通過下議案
transcript.whisperx[98].start 7608.595
transcript.whisperx[98].end 7628.882
transcript.whisperx[98].text 第20案本院委員李渙辰等22人離聚立法院職權刑事法第16條條文修正草案情緒議案,依次促進,依情會交司法及法律委員會審查,宣布完畢。第21案本院委員陳慶輝等16人離聚反其事法草案情緒議案,依次促進,依情會交內政委員會審查,宣布完畢。
transcript.whisperx[99].start 7629.622
transcript.whisperx[99].end 7656.124
transcript.whisperx[99].text 無異通過下議案。 第22案本院委員陳慶輝等16人理據保護所有醫系工人及其家庭成員權利,國際公約是刑罰草案侵水一案。﹐一時初一屆立行會交外交及國防、社會福利及衛生環境的兩位委員會審查。 宣讀完畢。 無異通過下議案。 第23案本院委員陳慶輝等16人理據國民營體域法第25條條務修正草案侵水一案。﹐一時初一屆立行會交外交及文化委員會審查。 宣讀完畢。
transcript.whisperx[100].start 7656.755
transcript.whisperx[100].end 7659.577
transcript.whisperx[100].text 無疑通過下一案。 無疑通過下一案。 無疑通過下一案。
transcript.whisperx[101].start 7681.676
transcript.whisperx[101].end 7702.345
transcript.whisperx[101].text 第26案本院委員李楚英等20人理據臺灣地區與大陸地區人民關係條例第90條條文修正草案請審議案。 一時出現立行會交內政委員會審查。 宣讀完畢。 二十七案本院委員陳玉珍等17人理據領導基本法草案請審議案。 一時出現立行會交經濟內政財政三委員會審查。 宣讀完畢。
transcript.whisperx[102].start 7705.473
transcript.whisperx[102].end 7725.983
transcript.whisperx[102].text 報告事項第27案 現由民進黨黨團提議退回程序委員會 重新提出 請問院會有異議有異議我們進行表決 贊成民進黨黨團提議退回程序委員會 請按贊成 反對 請按反對 時間一分鐘 現在開始
transcript.whisperx[103].start 7853.527
transcript.whisperx[103].end 7870.661
transcript.whisperx[103].text 謝謝謝謝謝謝現在向院會報告表決結果我們出席106位贊成48位反對57位贊成者少數報告院會現有民進黨黨團體重複表決我們現在進行重複表決記名表決時間一分鐘現在開始
transcript.whisperx[104].start 7948.054
transcript.whisperx[104].end 7948.414
transcript.whisperx[104].text 現在下一案
transcript.whisperx[105].start 7971.573
transcript.whisperx[105].end 7978.597
transcript.whisperx[105].text 第二十八案本院委員陳慧琳等21個鄰居﹐文化資產保存法在第11條至1條文章請審議案。 議事處理屆臨時會教教育及娃娃園會審查。 宣讀完畢。
transcript.whisperx[106].start 7986.124
transcript.whisperx[106].end 8007.317
transcript.whisperx[106].text 第二十九二本院委員陳冠霖的二十一年年居﹐文化藝術講座及促進條例第15條條文修正常請審議案。 依次促進立行會教教育界文化財政聯盟會審查。 宣讀完畢第二十二本院委員鍾嘉斌的二十一年年居﹐娛樂稅法部分條文修正常請審議案。 依次促進立行會教財政聯盟會審查。 宣讀完畢
transcript.whisperx[107].start 8009.798
transcript.whisperx[107].end 8030.67
transcript.whisperx[107].text 第31案本月委員徐富奎等18日離聚國家公園法部分條維修政策案請審議案,依次促進,依次委員會交內政委員會審查。 宣讀完畢無異通過下議案第32案本月委員徐富奎等17日離聚消防法部分條維修政策案請審議案,依次促進,依次委員會交內政委員會審查。 宣讀完畢無異通過下議案
transcript.whisperx[108].start 8031.01
transcript.whisperx[108].end 8054.262
transcript.whisperx[108].text ﹐第33案﹐本院委員徐富奎等17人聯聚﹐學校衛生法第21條條維修憲草原精髓案﹐一時初見李景輝教育及文化委員會審查﹐宣告完畢﹐無意通過下議案﹐第34案﹐本院委員徐富奎等17人聯聚﹐特殊教育法第30條條維修憲草原精髓案﹐一時初見李景輝教育及文化委員會審查﹐宣告完畢﹐無意通過下議案
transcript.whisperx[109].start 8054.542
transcript.whisperx[109].end 8068.056
transcript.whisperx[109].text 第三十五案 本院委員徐富回等17年年居國營臺灣鐵路股份有限公司設置條例第10條及第23條條文修正草原清水一案,依次促進理情會交交通司法及法制聯務委員會審查。 宣讀完畢
transcript.whisperx[110].start 8069.827
transcript.whisperx[110].end 8093.415
transcript.whisperx[110].text 第36案本院委員徐志傑等23人鄰居立法院公費助理任用法草案請水一案。 依次促見議員會交司法及法證委員會審查。 宣讀完畢。 無異通過下議案第37案本院委員邱志偉等16人鄰居國家安全法第三條條文修正草案請水一案。 依次促見議員會交內政委員會審查。 宣讀完畢。 無異通過下議案
transcript.whisperx[111].start 8093.775
transcript.whisperx[111].end 8116.483
transcript.whisperx[111].text ﹐第38案﹐本院委員邱志偉等16人聯聚﹐反滲透法第8條條文修正策案請審議案﹐依次促進依請回交內政司法及法治聯委員會審查﹐宣讀完畢﹐無異通過下議案﹐第39案﹐本院委員邱志偉等16人聯聚﹐並議法第17條條文修正策案請審議案﹐依次促進依請回交外交及國防委員會審查﹐宣讀完畢﹐無異通過下議案
transcript.whisperx[112].start 8116.903
transcript.whisperx[112].end 8123.145
transcript.whisperx[112].text 第41案 國民體育法第38條及第43條條務修正草案請審議案。 議事處議院立行會教教育及文化委員會審查。 宣告完畢
transcript.whisperx[113].start 8140.569
transcript.whisperx[113].end 8165.158
transcript.whisperx[113].text 第42案本院委員邱志文等20人已廢止交通部臺灣區國道高速公路局組織條例請審議案。﹐一時初見您請回交司法及法制交通領域委員會審查。 宣讀完畢。 無異通過下議案第43案本院委員邱志文等16人連聚就業保險法部分條文修正草案請審議案。﹐一時初見您請回交社會福利機構上環境委員會審查。 宣讀完畢。 無異通過下議案
transcript.whisperx[114].start 8165.498
transcript.whisperx[114].end 8190.052
transcript.whisperx[114].text 第44案 本院委員陳秀寶等21人離聚,性別平等工作法第15條條文修正草原情緒一案,一事促進,理情匯交,社會福利及衛生環境委員會審查。 宣布完畢。 無異通過下議案第45案 本院委員陳秀寶等21人離聚,勞工保險條例部分條文修正草原情緒一案,一事促進,理情匯交,社會福利及衛生環境委員會審查。 宣布完畢。 無異通過下議案
transcript.whisperx[115].start 8190.532
transcript.whisperx[115].end 8211.81
transcript.whisperx[115].text 第46案本院委員陳秀寶的21宅連聚今年基本法草案請審議案。 議事處意見您請回交交予及文化委員會審查。 宣告完畢無異通過下議案第47案本院委員陳秀寶的21宅連聚教育事法部份談文修正常案請審議案。 議事處意見您請回交交予及文化委員會審查。 宣告完畢無異通過下議案
transcript.whisperx[116].start 8212.21
transcript.whisperx[116].end 8234.032
transcript.whisperx[116].text 第48案本院委員陳秀寶等21人領據《中華民國新法》第77條條文修正常請選一案。 依次促進立行會將司法及法律委員會審查。 宣告完畢。第49案本院委員羅廷偉等17人領據《國土計畫法》第45條條文修正常請選一案。 依次促進立行會將內政委員會審查。 宣告完畢。 依次促進立行會將內政委員會審查。 宣告完畢。
transcript.whisperx[117].start 8235.353
transcript.whisperx[117].end 8257.019
transcript.whisperx[117].text 第52 本院委員羅廷偉等17人凝聚。 教育經費編列與管理法第3條條文修正常請水恩。 議事處理屆年齡會教育及文化委員會審查。 宣讀完畢。第51 本院委員羅廷偉等16人凝聚。 學校衛生法第6條條文修正常請水恩。 議事處理屆年齡會教育及文化委員會審查。 宣讀完畢。
transcript.whisperx[118].start 8258.519
transcript.whisperx[118].end 8283.559
transcript.whisperx[118].text 第52案本院委員羅廷偉等16屆領據《毒品危害方式條例》第11條至1條無修憲草案請審議案。 一事出現您請獲交司法及法治委員會審查。 宣讀完畢。 無異通過下議案。 第53案本院委員羅廷偉等17屆領據《職業災害勞工保護法》第14條條無修憲草案請審議案。 一事出現您請獲交社會福利及優先環境委員會審查。 宣讀完畢。 無異通過下議案。
transcript.whisperx[119].start 8283.979
transcript.whisperx[119].end 8308.296
transcript.whisperx[119].text 第54案 本院委員羅廷偉等16年年居 人體器官移植條例第一條之一條文修憲草案請審議案。 依次促進議請會將社會福利及衛生環境文化審查。 宣言完畢無異通過下議案第55案 本院委員羅廷偉等19年年居 雅庭技術司法第三條條文修憲草案請審議案。 依次促進議請會將社會福利及衛生環境文化審查。 宣言完畢無異通過下議案
transcript.whisperx[120].start 8308.596
transcript.whisperx[120].end 8329.34
transcript.whisperx[120].text 第56案 本院委員羅廷偉等16人聯聚緊急醫療救護法第二條條維修政策維新水域案 議事初見 移情匯交 社會福利 優勝環境委員會審查 宣讀完畢第57案 本院委員羅廷偉等16人聯聚優生保健法第二條條維修政策維新水域案 議事初見 移情匯交 社會福利 優勝環境委員會審查 宣讀完畢
transcript.whisperx[121].start 8332.341
transcript.whisperx[121].end 8356.645
transcript.whisperx[121].text 第五十方案本院委員羅廷偉等16人聆聚安寧緩和醫療條例第2條條文修正草原情緒疑案,依次促進理情委會交由社會福利及衛生環境委員會審查,宣告完畢。 第五十九案本院委員徐宇珍等17人聆聚當中交通管理處罰條例第12條及第12條之一條文修正草原情緒疑案,依次促進理情委會交交交通委員會審查,宣告完畢。
transcript.whisperx[122].start 8357.205
transcript.whisperx[122].end 8358.906
transcript.whisperx[122].text 無異通過下議案。 無異通過下議案。無異通過下議案。
transcript.whisperx[123].start 8382.364
transcript.whisperx[123].end 8405.658
transcript.whisperx[123].text 第62案 北約委員審柏羊等19人凝聚,反制度法增定第6條之一條文草案請審議案。 依次促進,依行會將內政司法及法制兩委員會審查。 宣告完畢。 無異通過下議案第63案 北約委員審柏羊等18人凝聚,中華民國刑犯部份條文促進草案請審議案。 依次促進,依行會將司法及法制兩委員會審查。 宣告完畢。 無異通過下議案
transcript.whisperx[124].start 8406.318
transcript.whisperx[124].end 8429.604
transcript.whisperx[124].text 第64案 本院委員參與於等16人聯聚﹐正確交易稅條例第2條之二及第12條條文修正草案請審議案。﹐一時初見你請回交財政委員會審查。﹐宣言完畢。﹐無異通過下議案。﹐第65案 本院委員參與於等18人聯聚﹐不應移植保存條例草案請審議案。﹐一時初見你請回交教育及文化委員會審查。﹐宣言完畢。﹐無異通過下議案
transcript.whisperx[125].start 8429.904
transcript.whisperx[125].end 8444.836
transcript.whisperx[125].text 第66案 本院委員參與於等23個領據學生輔導法部份條文修正常勤審議案,依次促進,引起會教教育級王晃委員會審查。 宣言完畢報告院會報告事項第66案,現有民進黨黨團提議計負二讀與相關提案並案協商,請問院會有無異議?
transcript.whisperx[126].start 8450.714
transcript.whisperx[126].end 8453.258
transcript.whisperx[126].text 無異議通過下一案。 無異議通過下一案。
transcript.whisperx[127].start 8465.236
transcript.whisperx[127].end 8481.573
transcript.whisperx[127].text 第68案本院委員承認等16人聆聚原住民族戒留地方草案請選一案。 議事處意見您請回交內政委員會審查。 宣讀完畢無異通過下一案第69案本院委員承認等18人聆聚離島簽證條例第13條條文修正草案請選一案。 議事處意見您請回交經濟委員會審查。 宣讀完畢無異通過下一案
transcript.whisperx[128].start 8487.139
transcript.whisperx[128].end 8510.26
transcript.whisperx[128].text 第七十一案 本院委員陳穎等17人理據《國民抵禦法》第38條條無修任草案請水一案。 一事促進,你請回交教育局王化緣會審查。 宣言完畢。 五議通過下議案第七十一案 本院委員陳穎等17人理據《社會福利基本法》第4條條無修任草案請水一案。 一事促進,你請回交社會福利及衛生環境委員會審查。 宣言完畢。 五議通過下議案
transcript.whisperx[129].start 8510.62
transcript.whisperx[129].end 8527.151
transcript.whisperx[129].text 第72案本院委員陳怡等18日臨時老人福利法第二條條無修正草案請選一案。一時初見臨時會交社會福利及衛生環境委員會審查。 訓斷完畢。 無異通過下議案第73案本院委員林思明等19日臨時對於發准法草案請選一案。 一時初見臨時會交內政委員會審查。 訓斷完畢。 無異通過下議案
transcript.whisperx[130].start 8531.914
transcript.whisperx[130].end 8556.192
transcript.whisperx[130].text 第74案本院委員零四名的23人凝聚,道路交通管理處罰條例增提第92條之二條文草案情實一案,依次處理解釋請回交交通委員會審查。 宣讀完畢。第75案本院委員岚若龍短時間凝聚,威權統治實行互相不法行為,被害者權利回復條例部分條文修正草案情實一案,依次處理解釋請回交內政委員會審查。 宣讀完畢。
transcript.whisperx[131].start 8557.012
transcript.whisperx[131].end 8558.553
transcript.whisperx[131].text 衛通過下議案衛通過下議案衛通過下議案
transcript.whisperx[132].start 8581.485
transcript.whisperx[132].end 8606.673
transcript.whisperx[132].text ﹗第78案﹗本院委員賴岳龍的17年年居保險法則列第174條之二及第174條之三條文草案及水銀案,依次促進離境匯交財政委員會審查,宣言完畢。 無異通過下一案﹗第79案﹗本院委員賴岳龍的16年年居國營港務股份有限公司順勢條例部分條文修正草案及水銀案,依次促進離境匯交交通司法啟發制聯務委員會審查,宣言完畢。
transcript.whisperx[133].start 8607.273
transcript.whisperx[133].end 8608.794
transcript.whisperx[133].text 無異通過下議案無異通過下議案無異通過下議案
transcript.whisperx[134].start 8631.809
transcript.whisperx[134].end 8655.167
transcript.whisperx[134].text 第82案本院委員吳佩儀等22人凝聚,都市更新條例第65條條文修正草原侵水案,一時初見,您請回交內政委員會審查。 宣讀完畢。第83案本院委員吳佩儀等24人凝聚,未全同這時期國家不法行為,被案者全力回復條例部分條文修正草原侵水案,一時初見,您請回交內政委員會審查。 宣讀完畢。
transcript.whisperx[135].start 8656.488
transcript.whisperx[135].end 8675.805
transcript.whisperx[135].text ﹐第84案﹐本月委員吳佩儀等24人領據《輿論稅法》部分條文修正草案清水案﹐依次促進離境匯交財政委員會審查﹐宣讀完畢。﹐第85案﹐本月委員吳佩儀等24人領據《青年基本法》草案清水案﹐依次促進離境匯交交易及文化委員會審查﹐宣讀完畢。
transcript.whisperx[136].start 8677.528
transcript.whisperx[136].end 8683.641
transcript.whisperx[136].text 第86案本院委員吳佩儀等24人聯聚為議議址保存條例草案請審議案。 議事初見禮慶會將將會計劃畫圓會審查宣讀完畢。
transcript.whisperx[137].start 8687.694
transcript.whisperx[137].end 8690.896
transcript.whisperx[137].text 五、一通過下一案。 五、一通過下一案。五、一通過下一案。
transcript.whisperx[138].start 8710.911
transcript.whisperx[138].end 8728.907
transcript.whisperx[138].text 第89案.法院行政法院組織法部分條文修正草案案.次初見臨時會交司法企法支援會審查。 宣讀完畢第90案.法院行政法院組織法部分條文修正草案案.次初見臨時會交司法企法支援會審查宣讀完畢
transcript.whisperx[139].start 8730.268
transcript.whisperx[139].end 8742.159
transcript.whisperx[139].text 第91案.經濟部函宋設立雅萬埃西研發中心進度113年7月專案報告﹐一時初見臨時會交經濟委員會處理﹐宣讀完畢。 無疑通過下一案﹐第92案.大陸委員會函宋臺灣與澳門避免航空企業雙重課稅協議113年第二屆即雙門延傳上報告﹐一時初見臨時會交內政委員會處理﹐宣讀完畢。 無疑通過下一案﹐
transcript.whisperx[140].start 8755.652
transcript.whisperx[140].end 8780.442
transcript.whisperx[140].text ﹗第93內政部喊為修正陽明山國家公園區域內競爭事章第5點及第11點規定﹗一時初見你請回交內政委員會﹗ 宣讀完畢。﹗第94案﹗內政部喊為綠建築標章規費收費標準明稱修正為﹗綠建築標章及建築南校標識規費收費標準並修正第二大條文﹗一時初見你請回交內政委員會﹗宣讀完畢。﹗
transcript.whisperx[141].start 8782.023
transcript.whisperx[141].end 8782.684
transcript.whisperx[141].text 無異通過下議案
transcript.whisperx[142].start 8803.607
transcript.whisperx[142].end 8804.248
transcript.whisperx[142].text ﹗第96案﹗第97案﹗無異通過下議案﹗
transcript.whisperx[143].start 8829.167
transcript.whisperx[143].end 8829.828
transcript.whisperx[143].text 無異議通過下一案無異議通過下一案
transcript.whisperx[144].start 8850.842
transcript.whisperx[144].end 8869.929
transcript.whisperx[144].text 第102,農業部函送公告,自中華民國113年6月25日起至7月1日至金門地區除公告事項二之加工產品為注針與其土地內臟、純線及加工產品,禁止出往臺灣本土及其他地域等。 一致出現,你請回交經濟委員會。 宣告完畢第101案,農業部函送聯誼部
transcript.whisperx[145].start 8873.911
transcript.whisperx[145].end 8874.972
transcript.whisperx[145].text 無異通過下議案無異通過下議案無異通過下議案
transcript.whisperx[146].start 8903.266
transcript.whisperx[146].end 8914.272
transcript.whisperx[146].text 第104案 農業牧海維修正休閒農業輔導管理辦法部分條文一致促進理情會交經濟委員會 宣讀完畢 第105案 農業牧海維修正農業牧補助及獎勵農業保險 保險人辦法第4條第5條及第6條條文一致促進理情會交經濟委員會 宣讀完畢
transcript.whisperx[147].start 8924.457
transcript.whisperx[147].end 8946.114
transcript.whisperx[147].text 第106案 農業部橫送農業部農田水利署 石門管理處農田水利事業區域內灌溉制度﹐一致促進理事會交經濟委員會﹐宣讀完畢。 無異通過下議案第107案 農業部橫送農業部農田水利署 南東管理處農田水利事業區域內灌溉制度﹐一致促進理事會交經濟委員會﹐宣讀完畢。 無異通過下議案
transcript.whisperx[148].start 8946.514
transcript.whisperx[148].end 8968.89
transcript.whisperx[148].text 第108案 農業部橫送農業部農田水利署 雲林管理處 農田水利事業區域內灌溉制度 依次促進疫情維繳經濟委員會 宣讀完畢。 無異通過下議案第109案 農業部海域促進公告澳大利亞首都特區 自高病原性家庭流行性感冒肺炎去刪除 依次促進疫情維繳經濟委員會 宣讀完畢。 無異通過下議案
transcript.whisperx[149].start 8969.23
transcript.whisperx[149].end 8970.03
transcript.whisperx[149].text 無異通過下議案
transcript.whisperx[150].start 8988.255
transcript.whisperx[150].end 9013.033
transcript.whisperx[150].text 第11一案 財政部行為機動調整牛肉、烘焙藥、奶粉、奶油、汙水奶油及小麥等二重省貨品關稅稅率實施期限自113年7月1日起至同年9月30日至。 一期初見禮群會教財政委員會。 宣讀完畢。第11二案 財政部行為修正執行業務所的潮流辦法部分調文。 一期初見禮群會教財政委員會。 宣讀完畢。
transcript.whisperx[151].start 9013.533
transcript.whisperx[151].end 9016.275
transcript.whisperx[151].text 無異通過下議案無異通過下議案無異通過下議案
transcript.whisperx[152].start 9037.85
transcript.whisperx[152].end 9040.511
transcript.whisperx[152].text 無異通過下議案無異通過下議案無異通過下議案
transcript.whisperx[153].start 9062.637
transcript.whisperx[153].end 9087.84
transcript.whisperx[153].text 第11期案(法務部行為本月修正電子簽章法通過附帶權益﹐檢速司法程序使用電子簽章之可行性評估報告﹐依稀處理監理請回交交通委員會﹐宣讀外閉。 無異通過下議案。 第11頒案(審計部來回修正審計部桃園市審計處辦事細則第9條及第11條條文﹐依稀處理監理請回交司法及法制財政兩委員會﹐宣讀外閉。 無異通過下議案。
transcript.whisperx[154].start 9088.2
transcript.whisperx[154].end 9103.681
transcript.whisperx[154].text 第1192 衛生部領文函送應完成產品登錄之化妝品種類及廢紙應完成產品登錄之化妝品種類及施行日期並自113年7月1日生效。依次處理件禮請會交社會福利協會上環境委員會。 宣布完畢
transcript.whisperx[155].start 9105.083
transcript.whisperx[155].end 9123.02
transcript.whisperx[155].text 第1202 衛生福利部函送應建立產品資訊檔案之化妝品種類及實施日期﹐及廢止應建立產品資訊檔案之化妝品種類及實行日期﹐並自113年7月1日生效。 依次處理件請回交社會福利局向環境委員會。 宣讀完畢。
transcript.whisperx[156].start 9124.682
transcript.whisperx[156].end 9141.217
transcript.whisperx[156].text 第1、2、1、2衛生福利部海外修正、全民健康保險、醫療服務及副項目及支付標準部分宅療項目﹐並自113年7月1日申請。 衛生福利部海外修正、全民健康保險、醫療服務及副項目及支付標準部分宅療項目﹐並自113年7月1日申請。 衛生福利部海外修正、全民健康保險、醫療服務及副項目﹐並自113年7月1日申請。 衛生福利部海外修正、全民健康保險、醫療服務及副項目﹐並自113年7月1日申請
transcript.whisperx[157].start 9150.407
transcript.whisperx[157].end 9158.03
transcript.whisperx[157].text 第一、二、二案經濟部還從112年度中小企業融資協助執行成果報告書一期處議會將經濟委員會宣讀完畢。無異通過報議會第123案至232案我們依序宣讀其中第121、124、177案國民黨黨團提議改交審查第123、124、130至133、145至147
transcript.whisperx[158].start 9179.6
transcript.whisperx[158].end 9207.316
transcript.whisperx[158].text 一五二至一五六、一六一至一六四、一六六、一六八、一七三、一七四、一八一至一八三、一八七、一九零、二一一至二一四、二一七、二一八、二二四、二二五、二二八、二二九及﹐第231案,臺灣民眾黨黨團提議改交審查。 宣讀之後﹐以上提案均改交相關委員會審查,其餘議案均照
transcript.whisperx[159].start 9208.537
transcript.whisperx[159].end 9236.678
transcript.whisperx[159].text 議事處意見通過請問院會有異議沒有異議我們宣讀宣讀之後通過請宣讀第123案行政院第124案之第12辦內眷部第129案海洋委員會第130案大陸委員會第131案不當黨產處理委員會第132案外交部第133案僑務委員會第134案密集第135案國防部第136案國軍退出官兵輔導委員會
transcript.whisperx[160].start 9237.699
transcript.whisperx[160].end 9240.884
transcript.whisperx[160].text 第137案 經濟部第11案 農業部第143案 公民交友委員會第144案 國家發展委員會第145案 財政部第150案 密 中央銀行
transcript.whisperx[161].start 9254.122
transcript.whisperx[161].end 9270.161
transcript.whisperx[161].text 第153案 及第154案 金融建築管理委員會 第155案 行政院主席總署 第156案 文化部 第157案 國家科學及基礎委員會 第158案 及第160案 交通部 第161案 及第162案 國家通訊傳播委員會
transcript.whisperx[162].start 9271.162
transcript.whisperx[162].end 9297.516
transcript.whisperx[162].text 一、三、處委發展部一、四、行政院公共工程委員會一、五、司法院一、六、防務部一、七、衛生福利部一、八、最低一期零案審計部一、七、經濟部一、二、行政院一、七、最低一期零案內宣部一、八、議案最低一期零案原住民組委員會一、八、自然國防部一、八、五案最低一期零案經濟部一、八、辦案最低一期零案農業部一、九、財政部
transcript.whisperx[163].start 9299.697
transcript.whisperx[163].end 9313.729
transcript.whisperx[163].text 第192案及第193案中央研究院 第194案及第203案教育部 第204案及第207案文化部 第20方案及第202案交通部 第213案國家通訊傳播委員會 第214案及第216案數位發選部
transcript.whisperx[164].start 9315.911
transcript.whisperx[164].end 9343.735
transcript.whisperx[164].text ﹐第207案﹐監察院﹐第208案﹐防務部﹐第219案﹐至第209案﹐衛生福利部﹐第240案﹐及第231案﹐勞動部﹐第232案﹐環境部﹐含為各年度相關預算﹐中央政府以後強化經濟與社會韌性﹐及全民共享經濟成果特別預算權益﹐112年度中央政府總預算附屬單位預算﹐113年度中央政府總預算等預算權益﹐分別檢送相關報告。 宣讀完畢。
transcript.whisperx[165].start 9345.182
transcript.whisperx[165].end 9358.643
transcript.whisperx[165].text 法院會第233案以下請一併宣讀。宣讀之後,除第244案同意展延審查期限外,其餘個案均准予被查。請宣讀。
transcript.whisperx[166].start 9359.383
transcript.whisperx[166].end 9381.182
transcript.whisperx[166].text 第二、三、四案為本院司法及法政委會函﹖為願會教務審查、財政法人、臺灣更生保護會等111年度決算書案等案﹖已於決算法第28條鎖定審議期限。第二、三、四案至第二、四、三案為本院財政司法及法制、教育檢控化內政、外交警務方、經濟、交通、社會福利、優先環境委會函﹖為願會教務審查、審計部函為111年度
transcript.whisperx[167].start 9383.724
transcript.whisperx[167].end 9409.972
transcript.whisperx[167].text 一百十一年度中央政府走運算局一等案﹐均已於年度運算執行期間。 第二、四次案為本院社會福利及衛生環境委會函﹐為院會交付審查相關行政命令﹐已於立法院職權行使法第61條所定審查期限。 質詢事項講﹐行政院答覆部分﹐行政院函送本院領委員書分等﹐所聽質詢之書面答覆共六件﹐以本院委員質詢部分﹐
transcript.whisperx[168].start 9410.712
transcript.whisperx[168].end 9438.949
transcript.whisperx[168].text 本院議委員之等向行政院提出集群共三件。 宣布完畢。報告事項均已處理完畢。 我們現在進行討論事項第一案。本院臺灣民眾黨黨團為立三度爾颱風災後重建工作。 請行政院督促農業部等主管機關積極支援救災所需經費。 並訂定全國一致之補助標準。 請院會決議議案。
transcript.whisperx[169].start 9441.011
transcript.whisperx[169].end 9448.313
transcript.whisperx[169].text 現在請議事人員宣讀提案內容。本院臺灣民眾腦囊團,由建雲山奴而颱風影響臺灣盛舉。據中央災害影片中心統計,截至113年11月7日1550,此次颱風共造成全國40億私中719傷,總災情包括露宿倒塌。
transcript.whisperx[170].start 9461.756
transcript.whisperx[170].end 9476.949
transcript.whisperx[170].text 三、四、五、六、七、八、九、十、一、二、三、四、五、六、七、八、九、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、五、十、一、二、三、四、
transcript.whisperx[171].start 9477.99
transcript.whisperx[171].end 9502.346
transcript.whisperx[171].text 因雨量大,風勢強勁,加上漲潮,造成新北市金山區萬里區40年來最嚴重的淹水,基隆市邊坡土石滑落,高雄市及屏東縣大範圍停電與社會設備損壞,花蓮縣台東縣交通中斷,及民眾不慎從高處墜落,駕車遭落時擊中,落海等災情,受山毒和颱風影響,全國農業總損失約3億8716萬元。
transcript.whisperx[172].start 9506.949
transcript.whisperx[172].end 9528.783
transcript.whisperx[172].text 其中屏東縣損失2億3,863萬元,高雄市損失8,896萬元,將為嚴重農作物受損以香蕉驟嚴重,損失6,084萬元,次為番石榴、棗木瓜及蓮霧等,為利災民進行重慶工作,早日恢復正常生活,原提案進行本院作者如下決議。
transcript.whisperx[173].start 9529.924
transcript.whisperx[173].end 9550.723
transcript.whisperx[173].text 請行政院督促農業部、經濟部、財政部、內政部等主管機關﹐積極支援各地方政府舊災所需經費﹐並比重堪比颱風之災後舊協助措施﹐秉持從困從速、從簡原則﹐為全體受災戶定定全國一致之補助標準﹐是否有當請供決案。 宣討完畢
transcript.whisperx[174].start 9553.925
transcript.whisperx[174].end 9579.259
transcript.whisperx[174].text 依照立法院之間新政法第8條第3項之規定﹐本案經提案人說明提案子去﹐大體討論後﹐即一決交付審查或禁付二讀﹐或不予審議。 報告委員會﹐本提案﹐提案的黨團並沒有推派委員說明﹐我們就不做說明﹐現在進行大體討論﹐但是本案並沒有委員登記發言﹐我們就不發言。
transcript.whisperx[175].start 9580.579
transcript.whisperx[175].end 9597.133
transcript.whisperx[175].text 辦委會,現有臺灣民眾黨黨團提議禁覆二讀,請問院會有異議?沒有異議,本案就禁覆二讀。依據立法院職權行事法第74條之一規定,交付黨團協商,我們現在作以下決議。交付黨團協商,由臺灣民眾黨黨團負責召集協商。
transcript.whisperx[176].start 9602.862
transcript.whisperx[176].end 9616.31
transcript.whisperx[176].text 辦院會現在進入討論事項第二案本院臺灣民眾黨黨團建請加開院會,邀請行政院院長率同相關部會首長就賴清德政府能源配比及電價政策進行專案
transcript.whisperx[177].start 9617.608
transcript.whisperx[177].end 9624.693
transcript.whisperx[177].text 被質詢請院會決議以案﹚本案﹚經第二會期第一次會議決議交付黨團協商﹚並由臺灣民眾黨黨團負責召集協商﹚報院會﹚本案現已完成協商﹚請宣讀協商結論。
transcript.whisperx[178].start 9634.969
transcript.whisperx[178].end 9653.367
transcript.whisperx[178].text 立法院黨團協商結論時間113年10月17日星期四上午10時,地點群選樓802會議室。 決定事項,依各黨團同意10月29日星期二,邀請行政院院長率同相關部會首長列席,提出賴清德政府人員配比及電價偵測專案報告並被質詢。
transcript.whisperx[179].start 9655.809
transcript.whisperx[179].end 9683.912
transcript.whisperx[179].text 質詢人數由國民黨黨團推敗9人、民進黨黨團推敗9人、臺灣民眾黨黨團推敗2人進行。 每位委員尋答時間15分鐘。 質詢順序屹立授權1、4處辦理。 名單請於10月28日星期一中午10、20前送交1、4處會診。 預時視同放棄。 主持人韓國瑜將啟程。 協商代表傅坤崎、林思明、王鴻威、柯建民、吳思堯、蔡毅宇、王國昌、吳春成、麥玉珍。 宣讀完畢。
transcript.whisperx[180].start 9685.542
transcript.whisperx[180].end 9686.691
transcript.whisperx[180].text 請問院會對以上協商結論有異議?
transcript.whisperx[181].start 9688.444
transcript.whisperx[181].end 9709.568
transcript.whisperx[181].text 沒有異議本案進行協商結論來進行處理我們現在做以下決議10月29日星期二邀請行政院院長率同相關部會首長列席提出賴清德政府能源配比及電價政策專案報告並被質詢質詢人數由國民黨團推派9位民進黨黨團推派9位台灣民眾黨黨團推派2位每位委員詢答時間15分鐘質詢順序依例授權議事處處理
transcript.whisperx[182].start 9718.697
transcript.whisperx[182].end 9738.915
transcript.whisperx[182].text 本名單請於10月28日星期一中午12點前宋嬌藝術處會診。 欲時適同放棄。現在我們進入討論事項第三案本院民進黨黨團針對第11屆第2會期第2次會議包括事項第三案翁曉琳委員等凝聚憲法訴訟法第30條及
transcript.whisperx[183].start 9740.456
transcript.whisperx[183].end 9757.33
transcript.whisperx[183].text 第43條條文修正草案.第4案翁曉琳委員等凝聚國家通訊傳播委員會組織法第16條條文修正草案.院會所作決定提出復議請公決案本案.今第二會期第三次會議
transcript.whisperx[184].start 9758.431
transcript.whisperx[184].end 9781.363
transcript.whisperx[184].text 決定令定期處理,現在我們進行處理。本案沒有委員登記發言,我們就不發言。 報議會現在針對民進黨黨團所提議的副議案進行表決,贊成民進黨黨團所提的副議案,請案贊成,反對請案表決,請案反對,我們記名表決時間1分鐘,現在開始。
transcript.whisperx[185].start 9893.285
transcript.whisperx[185].end 9915.949
transcript.whisperx[185].text 好,謝謝,謝謝,謝謝,好,謝謝各位委員,謝謝。報告委員會,楊耀委員發表聲明,對剛才表決與民進黨黨團意見一致,我們列入公報記錄。報告委員會現在宣布表決結果,出席委員106位,贊成50位,反對56位,贊成者少數。報告委員會現有民進黨黨團提議重複表決,我們現在進行重複表決,時間一分鐘,現在開始。
transcript.whisperx[186].start 9996.287
transcript.whisperx[186].end 10010.78
transcript.whisperx[186].text 現在報告重複表決結果出席105位贊成50位反對55位贊成者少數我們決議復議案不通過本案報告事項照原作決定通過
transcript.whisperx[187].start 10012.282
transcript.whisperx[187].end 10040.261
transcript.whisperx[187].text 現在我們進入討論事項第4案本院民進黨黨團針對第11屆第二會期第三次會議包括事項第9案翁小林委員等凝聚憲法訴訟案第95條條文修正草案及第63案徐欣怡委員等凝聚國家通訊委員會組織法第16條條文修正草案院會所作決定民進黨提出復議請公決案
transcript.whisperx[188].start 10042.662
transcript.whisperx[188].end 10043.883
transcript.whisperx[188].text 時間一分鐘現在開始
transcript.whisperx[189].start 10180.117
transcript.whisperx[189].end 10184.101
transcript.whisperx[189].text 謝謝謝謝報告表決結果出席104位贊成50位反對54位贊成者少數報告現在有民進黨團體重複表決我們現在進行重複表決時間一分鐘現在開始
transcript.whisperx[190].start 10273.732
transcript.whisperx[190].end 10298.006
transcript.whisperx[190].text 報告委員會現在報告重複表決結果,出席104位,贊成50位,反對54位,贊成則少數。我們決議附議案不通過,本案報告事項照原作決定通過。報告委員會現在進入討論事項第5案,本院國民黨黨團提議針對農業部、教育部因禁訴檢討斑斑有先乃。
transcript.whisperx[191].start 10299.006
transcript.whisperx[191].end 10303.995
transcript.whisperx[191].text 執行情形並提出改善方案。 請院會作成決議案,請議事人員宣讀提案內容。
transcript.whisperx[192].start 10306.345
transcript.whisperx[192].end 10330.838
transcript.whisperx[192].text 本院國民黨黨團藉請院會作成以下之決議,有鑒於政府因應明年紐西蘭進口鮮奶零關稅,為減少對本土落農衝擊,農業部教育部實施斑斑有鮮奶政策,為因冷鏈配送學校冷藏儲存,以及食安疑慮問題,多數學生選擇保求入,至演變校園斑斑有保求入。
transcript.whisperx[193].start 10331.318
transcript.whisperx[193].end 10356.298
transcript.whisperx[193].text 同時造成市面上保障乳酗貨及種匠情形﹐政府規劃不周﹐交上配套不足﹐不但造成學校教學現場之困擾﹐亦無法照顧到本土落農﹐傷害本土乳品產業﹐更影響民生物資價格之穩定﹐原此提案要求農業部教育部﹐因技術檢討斑斑有限地執行情形﹐並且提出經濟改善方案﹐
transcript.whisperx[194].start 10356.838
transcript.whisperx[194].end 10368.262
transcript.whisperx[194].text 以確保學生飲用安全衛生式乳品,兼顧本土乳品產業之穩定發展,是否有當進行公決。 宣讀完畢。法定人數不足
transcript.whisperx[195].start 10382.266
transcript.whisperx[195].end 10396.5
transcript.whisperx[195].text 審議。 報言會陳超明委員發表聲明,剛才表決與國民黨黨團意見一致,列入公報記錄。 報言會現在請提案黨團,國民黨黨團代表萬委員美玲說明提案子去。
transcript.whisperx[196].start 10406.706
transcript.whisperx[196].end 10429.333
transcript.whisperx[196].text 謝謝院長,各位同仁,還有所有媒體的朋友。斑斑有鮮奶政策,四年四十四億。那說好的要在今年九月開學之後,讓我們的學童每一週都能夠喝到兩次的鮮奶。但是現在已經十月中了,我們看到斑斑有鮮奶變成斑斑有飽酒乳。
transcript.whisperx[197].start 10429.833
transcript.whisperx[197].end 10450.275
transcript.whisperx[197].text 而斑斑有保久乳現在竟然變成了斑斑在等待。 那麼本院國民黨黨團要建請院會做成以下的決議有鑒於政府因應明年紐西蘭鮮奶零關稅 為了要減少本土落農的衝擊,農業部跟教育部
transcript.whisperx[198].start 10450.975
transcript.whisperx[198].end 10475.88
transcript.whisperx[198].text 實施了斑斑有鮮奶政策,但是因為沒有顧及到冷鏈配送的問題,學校冷藏儲存的問題,以及相關食安疑慮的考慮,所以有很多的學生高達75%以上都選擇了飽酒乳,以至於演變成斑斑有鮮奶政策,現在是斑斑有飽酒乳政策。
transcript.whisperx[199].start 10476.4
transcript.whisperx[199].end 10476.42
transcript.whisperx[199].text 二、3、4、5、6、7、8、9、10、11、12、13、14、15、16、17、18、19、20、21、22、23、24、25、26、27、28、29、30、31、32、33、34、35、36、37、40、40、41、42、43、44、45、46、46、47、49、49、50、50、50、50、50、50、50、50、50、50
transcript.whisperx[200].start 10499.699
transcript.whisperx[200].end 10499.739
transcript.whisperx[200].text 主席
transcript.whisperx[201].start 10515.527
transcript.whisperx[201].end 10515.847
transcript.whisperx[201].text 主席
transcript.whisperx[202].start 10536.614
transcript.whisperx[202].end 10559.779
transcript.whisperx[202].text 趕快的思考是不是應該要來發放鮮奶券。 比照現行有許多的縣市都是在寒暑假針對弱勢的學生發放營養午餐券的方式。 我們用鮮奶券讓每一個孩子可以快速的自行的到我們的超商到我們的大賣場來兌換他們所需的乳品。 我想
transcript.whisperx[203].start 10560.239
transcript.whisperx[203].end 10560.299
transcript.whisperx[203].text 主席
transcript.whisperx[204].start 10588.776
transcript.whisperx[204].end 10612.156
transcript.whisperx[204].text 謝謝外媒林委員的發言。報告委員會現在進行大體討論,沒有委員登記,我們就不再發言。報告委員會現有國民黨團提議禁付二讀,請問委員會有異議?沒有異議本案禁付二讀,依據立法院職權新司法74條之一規定交付黨團協商。我們作以下決議,本案交付黨團協商,並由國民黨黨團負責召集協商。
transcript.whisperx[205].start 10616.363
transcript.whisperx[205].end 10634.57
transcript.whisperx[205].text 報告委員會現在議場二樓旁盯的是來自南投晴天協會的朋友,熱情歡迎。報告委員會現在議場二樓旁盯另外一批來自新北林口高中的同學,熱情歡迎未來國家主人翁。
transcript.whisperx[206].start 10637.75
transcript.whisperx[206].end 10659.041
transcript.whisperx[206].text 現在我們針對行政院院長施政報告繼續質詢今天進行個人質詢、交通組制質詢我們首先請郭國文委員質詢以書面提出請行政院以書面答覆並列入記錄刊登公報接下來我們請張家俊委員質詢
transcript.whisperx[207].start 10669.735
transcript.whisperx[207].end 10674.678
transcript.whisperx[207].text 院長午安,我想請卓院長。麻煩請卓院長備選。卓院長。張委員好。我想要請問您,您自己有用過這個外送平台,類似Uber Eats或Fu Panda嗎?當然有,在疫情時間用的又特別多。應該不錯用吧,怎麼樣?不錯用,很方便。
transcript.whisperx[208].start 10699.264
transcript.whisperx[208].end 10722.134
transcript.whisperx[208].text 很方便吧那最近交通部提出了一個預告修法跟Uber Eats跟Foodpanda都息息相關就是明訂機車外送平台的這個費率公式可以加收等待費還有樓層費跟夜間加成的費用本席要先請教院長您支持交通部這個預告案嗎
transcript.whisperx[209].start 10723.697
transcript.whisperx[209].end 10727.32
transcript.whisperx[209].text 我假設是像院長這樣講的我覺得這個利益良善雖然現在還沒有明定這個價格但是根據工會的估算
transcript.whisperx[210].start 10748.598
transcript.whisperx[210].end 10748.618
transcript.whisperx[210].text 韓國瑜議員
transcript.whisperx[211].start 10767.602
transcript.whisperx[211].end 10767.622
transcript.whisperx[211].text 二、3、4、5、6、7、8、9、10、11、12、12、13、14、15、16、17、18、19、20、21、22、23、24、25、26、27、28、29、30、31、32、33、34、35、36、37、40、40、41、42、43、44、45、45、46、46、47、49、49、50、50、50、50、50、50、50、50、50、50
transcript.whisperx[212].start 10788.113
transcript.whisperx[212].end 10788.133
transcript.whisperx[212].text 二、3、4、5、6、7、8、9、10、11、12、12、13、14、15、16、17、18、19、20、21、22、23、24、25、26、27、28、29、30、31、32、33、34、35、36、37、40、40、41、42、43、44、45、46、46、47、49、49、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、
transcript.whisperx[213].start 10816.521
transcript.whisperx[213].end 10842.616
transcript.whisperx[213].text 算是漲幅非常的多有88%的民眾表示說未來每筆這個外送運送費調漲60至85元他們會減少使用而且甚至可能考慮不再使用外送那所以呢這個部分曾經的有外送平台有外送員包括餐飲業者跟消費者您知道如果假設
transcript.whisperx[214].start 10844.357
transcript.whisperx[214].end 10858.709
transcript.whisperx[214].text 這不是他們推動的,他們對這個狀況毫無所知,包括外送平台本身也說他們真的不曉得會發生這個事情。 那外送員認為說市場有它的平衡機制,如果漲價沒人點,
transcript.whisperx[215].start 10860.31
transcript.whisperx[215].end 10860.47
transcript.whisperx[215].text 報告委員
transcript.whisperx[216].start 10880.135
transcript.whisperx[216].end 10893.61
transcript.whisperx[216].text 這個部分您所提出來的數字您剛剛也說了這是外送員工會所算出來的數字代表外送員工會其實都知道這件事這個部分本來他們都知道現在大家談這些都還太早
transcript.whisperx[217].start 10894.531
transcript.whisperx[217].end 10895.651
transcript.whisperx[217].text 本席再提醒你就是這個部分
transcript.whisperx[218].start 10917.501
transcript.whisperx[218].end 10928.45
transcript.whisperx[218].text 因為你們在之前都沒有跟他們有討論,包括16號下午你們才緊急發通知給消基會,說希望他們17號早上來開會,他們就拒絕了,因為太倉促了。
transcript.whisperx[219].start 10933.173
transcript.whisperx[219].end 10947.529
transcript.whisperx[219].text 簡直就是為了你這個要緊急上路急就章在做的往回的一個措施那本席要提醒你的是本席要提醒你的是這個草案就跟斑斑有先辱
transcript.whisperx[220].start 10948.45
transcript.whisperx[220].end 10975.258
transcript.whisperx[220].text 一樣的翻版缺乏溝通不夠接地氣這簡直就是在辦公室裡面想出來的政策那一開始在公告這個修正草案之前的會議根本沒有任何消費者團體的聲音所以16號發文的就是為了挽救所以提醒你提醒你一定要重視否則你這樣子等於是
transcript.whisperx[221].start 10976.967
transcript.whisperx[221].end 10999.336
transcript.whisperx[221].text 療草的上路的話影響的非常多,影響的非常多。好,那接下來呢,卓院長,我也必須提醒您,不只是交通部如此,你說教育部跟農業部剛剛我們提出的那個案子,就是斑斑有鮮奶,變成斑斑有薄酒乳之外,薄酒乳還供應不上,結果呢,
transcript.whisperx[222].start 11000.946
transcript.whisperx[222].end 11016.136
transcript.whisperx[222].text 問了農業部,農業部說你喝不上薄酒乳,你喝鮮乳啊,這不是何不死糯米啊,真的我覺得荒唐到了一個極點,我們其實本意是要照顧落農,結果不只沒有照顧到落農,還排擠了
transcript.whisperx[223].start 11018.097
transcript.whisperx[223].end 11043.933
transcript.whisperx[223].text 議員長
transcript.whisperx[224].start 11044.181
transcript.whisperx[224].end 11060.485
transcript.whisperx[224].text 我希望大家的創意都要經過非常合理深入的討論而且在討論的初期如果還沒有廣泛跟外界有溝通不宜把任何的意見快速的向外界來宣布或是透露出來這樣會造成大家的不安
transcript.whisperx[225].start 11060.845
transcript.whisperx[225].end 11060.865
transcript.whisperx[225].text 三、4、5、6、7、8、9、10
transcript.whisperx[226].start 11077.808
transcript.whisperx[226].end 11100.917
transcript.whisperx[226].text 因為當人家覺得有一點荒腔折磅而且政策反覆,一下子說這樣,一下子說那樣,隔天又說道歉十幾次說他只是在發想階段,我覺得這樣子會讓民眾對整個內閣的可信度打折,間接影響到院長的credit,所以這一點提醒院長可以鼓勵大家再深思熟慮,再發起。
transcript.whisperx[227].start 11104.739
transcript.whisperx[227].end 11120.466
transcript.whisperx[227].text 臺鐵公司10月初有一份從業人員待遇表的草案,將新進人員起薪調升3000元,但是公司化後原任的1萬多名員工待遇似乎都還沒有更改,請問這是否屬實?
transcript.whisperx[228].start 11123.387
transcript.whisperx[228].end 11123.407
transcript.whisperx[228].text 是!
transcript.whisperx[229].start 11138.843
transcript.whisperx[229].end 11155.506
transcript.whisperx[229].text 但是呢大家有問題有疑慮的是說為什麼新任人員的待遇提高原任的員工卻沒有調薪如果有沒有估算過說為什麼只有調薪進人員然後如果全體調要提升多少呢
transcript.whisperx[230].start 11156.892
transcript.whisperx[230].end 11158.213
transcript.whisperx[230].text 就是希望能夠妥善處理因為本席也很擔心說假設
transcript.whisperx[231].start 11177.759
transcript.whisperx[231].end 11205.579
transcript.whisperx[231].text 就是這個薪資的不公平導致說臺鐵有罷工或者是說營運可能無法負擔假設要全面調薪可能營運無法負擔那會不會像臺電一樣要發聲說交通部要撥補他這樣子的一個情況目前的狀況確實是不公平所以才調那從業人員比原本的人員低那我們現在希望從業人員先拉上來先拉上來這個是第一步我們要先做的
transcript.whisperx[232].start 11206.039
transcript.whisperx[232].end 11228.293
transcript.whisperx[232].text 是 因為本席接到通知接到這個陳情就是已經有1500多名的台鐵員工聯署要到交通部去開記者會希望能夠提出原任人員要有合理的這個待遇方式那本席在這裡希望部長能夠妥善處理不要影響到其他我們一般消費者的權益
transcript.whisperx[233].start 11232.503
transcript.whisperx[233].end 11255.816
transcript.whisperx[233].text 請問院長,數位部的打炸APP你有看過嗎?有。有看過。你知道數位部應該是打炸最重要的一個機關之一是嗎?從技術面來看是,但實際執行的應該還有我們的檢警調系統。那對於數位部打炸的成果,院長你滿意嗎?
transcript.whisperx[234].start 11257.399
transcript.whisperx[234].end 11267.133
transcript.whisperx[234].text 術衛部打詐的成果他這個APP只是一個讓大家檢視他受到的國人受到的資訊是真是假他是在檢視這個真假
transcript.whisperx[235].start 11268.683
transcript.whisperx[235].end 11290.849
transcript.whisperx[235].text 有個數據喔本席跟院長說一下去年的詐欺案件發生是37832件在前年增加了8314件加了28.17%詐騙的這個案件是越打越多那部長你們數位部在9月底推出了網路詐騙通報查詢網是不是?
transcript.whisperx[236].start 11293.59
transcript.whisperx[236].end 11294.811
transcript.whisperx[236].text 那請問一下這個APP花了多少錢?
transcript.whisperx[237].start 11302.438
transcript.whisperx[237].end 11316.747
transcript.whisperx[237].text 一、二、三、四、五、六、七、八、八、九、十、九、十一、二、三、四、五、六、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一、二、十一
transcript.whisperx[238].start 11326.593
transcript.whisperx[238].end 11333.467
transcript.whisperx[238].text Apple Store跟Play商店的評分是多少你知道嗎?大概是從3左右
transcript.whisperx[239].start 11334.244
transcript.whisperx[239].end 11360.78
transcript.whisperx[239].text 差不多2.6星部長你會不會覺得這個有一點不滿意我個人從事軟體做40年所以這個兩個層面一個是說它好不好用那我承認這個推出來的時候的確在可用就是好不好用是有進步的空間但是它的效果我們看到了我給委員報告一下我們在15天的公測本席再提醒你你講到了
transcript.whisperx[240].start 11363.254
transcript.whisperx[240].end 11388.553
transcript.whisperx[240].text 這個數位部上架幾天之後大家反應很不好他馬上就下架了他這個詐騙通報網他說這個是公測APP是公測就已經完成了階段性任務所以你1300萬15天就把它用完了你就把它花了就把它下架了我的老天啊我真的是嚇一跳
transcript.whisperx[241].start 11390.295
transcript.whisperx[241].end 11405.716
transcript.whisperx[241].text 詐騙通報還需要公測?而且你只用了15天就把它下降了,我到底看到什麼啦?你們公測了什麼?你們完成了什麼階段性任務?因為我們原來就是要收集一萬個民眾的feedback,那這個我們收集到了。
transcript.whisperx[242].start 11405.996
transcript.whisperx[242].end 11422.982
transcript.whisperx[242].text 那請問還有第二階段的公測第三階段的公測是不是反正只要做不好就說是公測就可以下架但是如果數位部做不好你也可以說是數位部是公測啊數位部也可以裁掉啊我們在上去的時候就已經說這叫公測版
transcript.whisperx[243].start 11423.564
transcript.whisperx[243].end 11449.686
transcript.whisperx[243].text 所以並不是後來才說的就是另外一個更嚴重的問題本席在下架前就已經下載了目前還可以截圖請看這個昨天的截圖就我們打造APP自己聲稱說用AI去尋找詐騙資訊的檔案結果全部都是色情廣告全部都是色情廣告你覺得這個是數位部想要達成的目標嗎所以就是我們在講說我們第一個公測的目的就是找出這些問題
transcript.whisperx[244].start 11450.367
transcript.whisperx[244].end 11457.469
transcript.whisperx[244].text 二、三、四、五、六、七、八、八、九、十、九、十、九、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、
transcript.whisperx[245].start 11468.692
transcript.whisperx[245].end 11491.613
transcript.whisperx[245].text 指出這個網站有問題之後他可以進去通報詳細來說明他被騙三個是這個APP必須要非常好的操作所以部長您真的要加油啊所以這個錢就好像撒了十幾天就花了一千多萬結果還沒有成果搜尋到了全部都是色情廣告這合適嗎?
transcript.whisperx[246].start 11492.834
transcript.whisperx[246].end 11495.696
transcript.whisperx[246].text 因為我時間有限,我想要接下來再問一下地方建設,就是院長,我們這個斗六鐵道次庫停船,到目前為止,今年9月兩則,5月好幾條人命,
transcript.whisperx[247].start 11512.108
transcript.whisperx[247].end 11539.778
transcript.whisperx[247].text 都沒了所以針對斗六鐵路高價化一案本席今年也邀請了會刊多次最終已經解決了曲率半徑效益評估跟臨時評交到的三大關口讓斗六鐵路高價化可以敗部復活這是斗六人已經期盼了二三十年的夢但是院長真的很需要您的幫忙因為呢縣府把這個案子可行性評估
transcript.whisperx[248].start 11540.578
transcript.whisperx[248].end 11541.538
transcript.whisperx[248].text 請問一下這個審查期程大概還要多久?
transcript.whisperx[249].start 11541.538
transcript.whisperx[249].end 11542.558
transcript.whisperx[249].text 部長您可以回答嗎?
transcript.whisperx[250].start 11563.983
transcript.whisperx[250].end 11589.333
transcript.whisperx[250].text 目前我們已經送到部了,鐵道局那邊已經送到交通部了,那我們交通部最近會來開審查會議。最近大概多久?我要跟內部再討論一下。一個禮拜、三個禮拜還是三個月?我跟內部來討論一下。因為你加快騎乘,你是在保障我們這些人民的行車安全。那我也想舉一個例子,就是說
transcript.whisperx[251].start 11619.793
transcript.whisperx[251].end 11638.182
transcript.whisperx[251].text 謝謝張家俊委員指詢,謝謝卓院長及相關部會所長的備詢,謝謝。報告委員會現在在議場二樓旁聽的來自南投縣,南投市永興社區發展協會,熱情歡迎。報告委員會現在接下來登記第三位柯志恩委員,請發言。
transcript.whisperx[252].start 11646.058
transcript.whisperx[252].end 11646.881
transcript.whisperx[252].text 麻煩再請卓院長及交通部備詢
transcript.whisperx[253].start 11657.523
transcript.whisperx[253].end 11684.137
transcript.whisperx[253].text 科委員好 院長好 部長好我想昨天在我們東湖發生少年無照駕駛一個非常遺憾的一個事件我想更要讓我們數字裡面讓我們覺得更驚訝的是根據交通部的統計每年大概有30萬到40萬是有交通事故的但是有5萬是屬於無照這樣的一個駕駛而且平均會造成600人死亡而且還有6萬多人受傷最重要的是
transcript.whisperx[254].start 11684.737
transcript.whisperx[254].end 11696.438
transcript.whisperx[254].text 死傷人數竟然是酒駕的6倍!我們來跟酒駕來比,過去我們說酒駕是零容忍,那無照呢?無照呢?無照駕駛又是如何呢?
transcript.whisperx[255].start 11702.242
transcript.whisperx[255].end 11719.768
transcript.whisperx[255].text 我覺得這個部分在法規條文上面這個就完全是交通部如果能夠率先來做定到一個方向立法院絕對配合因為這件事情比酒駕還要多出6倍這個數字是很難令人
transcript.whisperx[256].start 11720.288
transcript.whisperx[256].end 11734.825
transcript.whisperx[256].text 接受的好不好那接下來有個民生的問題啊因為因應這個新店家的上路啊那每個人都會關切這個高鐵跟台鐵會不會漲價因為我每天的日常就是高鐵轉台鐵所以對我來說是非常的重要的那會不會漲價
transcript.whisperx[257].start 11737.987
transcript.whisperx[257].end 11766.076
transcript.whisperx[257].text 報告委員,台鐵的部分,我們有承諾過在春節之前不長假。對,不長假,春節之前,現在目前距離春節只有3個月,你知道我們保久乳還可以保存6個月,那你這個3個月,說實話你別保久乳還不如誒,是不是?而且你應應店家的這個部分裡面調高,但是剛剛張家滬居委員也特別提到了,因為我們知道要為台鐵的基層來好好的講一下話,董座,你知道董座為什麼會加薪嗎?他加薪的理由是什麼?
transcript.whisperx[258].start 11766.696
transcript.whisperx[258].end 11769.137
transcript.whisperx[258].text 當董做的薪資到19總計到18的時候 靈鬼作業危險的今天每個小時只有40塊錢 只有40塊錢
transcript.whisperx[259].start 11792.063
transcript.whisperx[259].end 11818.045
transcript.whisperx[259].text 這對所有的基層員工來說真是情何以堪我們再來看一下而且呢剛剛部長也特別提到了你們要加薪然後希望我們這台鐵的這基層能夠趕上國營的事業其實還是有很大段的一個理由的我們來看一下下面一頁你看他基本上面往下他的這個薪資裡面到底行政院現在是卡在你們行政院過去來說我們前一頁卡在這個行政院當中你看從這個過程528已經喊報政院
transcript.whisperx[260].start 11820.427
transcript.whisperx[260].end 11820.447
transcript.whisperx[260].text 二、3、4、5、6、7、8、9、10、11、12、13、14、15、16、17、18、19、20、21、22、23、24、25、26、27、28、29、30、31、32、33、34、35、36、37、40、40、41、42、43、44、45、46、47、48、49、49、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、
transcript.whisperx[261].start 11847.029
transcript.whisperx[261].end 11850.892
transcript.whisperx[261].text 報告委員,這個才剛送到院長那邊,因為我們跟人總那邊需要一個協調,這個部分我們很努力,然後也很快會達成,所以請委員放心,在講業務的緣程快會完成。
transcript.whisperx[262].start 11871.327
transcript.whisperx[262].end 11890.674
transcript.whisperx[262].text 關於罷工怎麼辦,我們來看一下,因為時間有限了,觀光產業真的是一個鏟子,也收到非常多觀光,台灣這麼美麗的寶島。各位,你知道7月的時候我們人數是衝破150萬出國去,這比去年還是多了27%,而且你看一下,但是我們國內的旅遊,你看我們的住房率,平均的房價,
transcript.whisperx[263].start 11891.274
transcript.whisperx[263].end 11891.294
transcript.whisperx[263].text 二、3、4、5、6、7、8、9、10
transcript.whisperx[264].start 11921.394
transcript.whisperx[264].end 11922.295
transcript.whisperx[264].text 三、10月18日下午1時50分為處理臨時提案時間。 三、10月18日下午1時50分為處理臨時提案時間。
transcript.whisperx[265].start 11940.083
transcript.whisperx[265].end 11963.119
transcript.whisperx[265].text 大家問到你我們的觀光業該如何振興的時候當然你告訴我們今年要達到1000萬的旅客是不可能的你下修到750萬但是明年你還是把它設定在1000萬如果整個大環境整個制度沒有改變的話你為什麼認為還是可以到1000萬你不能有一個高標準然後到年底的時候告訴我對不起我們達不到我們就下修這不是我們設定目標的主要目的吧
transcript.whisperx[266].start 11964.059
transcript.whisperx[266].end 11964.199
transcript.whisperx[266].text 為什麼不...
transcript.whisperx[267].start 11990.775
transcript.whisperx[267].end 12014.321
transcript.whisperx[267].text 部長謝謝但是院長我還是要告訴你為什麼我覺得這件事情非常的重要因為我們大家有個很大的指標叫做瑞士洛桑管理學院公佈的你知道我們台灣在IMD的世界競爭力排名其實不錯每年都在進步它有四個面向但是其中一個很大面向叫經濟層面經濟層面裡面我們是四個面向裡面其實最差的這是你非常重視的經濟面向而且經濟面向裡面有十個指標 抱歉
transcript.whisperx[268].start 12015.621
transcript.whisperx[268].end 12029.355
transcript.whisperx[268].text 十個指標當中呢,就是觀光指標最糟糕。 64個全世界的經濟體當中,我們台灣只贏了4個。 所以表示我們的觀光是拖垮了我們整個經濟的面向。 所以觀光有多麼重要,不是嗎?
transcript.whisperx[269].start 12029.355
transcript.whisperx[269].end 12034.48
transcript.whisperx[269].text 然後呢,我們提出來,然後我們也把觀光成立數了。 但是數有沒有辦法把我們的觀光產業變得比較好呢?
transcript.whisperx[270].start 12034.48
transcript.whisperx[270].end 12034.52
transcript.whisperx[270].text 你看。
transcript.whisperx[271].start 12037.723
transcript.whisperx[271].end 12037.903
transcript.whisperx[271].text 執行局委員
transcript.whisperx[272].start 12068.804
transcript.whisperx[272].end 12070.625
transcript.whisperx[272].text 我會希望觀光署跟國內一些觀光的產業跟我甚至觀光協會每年我們的觀光旅展都非常的熱鬧
transcript.whisperx[273].start 12090.656
transcript.whisperx[273].end 12116.322
transcript.whisperx[273].text 但是數據會縮化嘛,就是旅遊…對啦,但是就是會縮化,然後我告訴你啊,是,是,因為時間關係齁,你看我們現在的航點喔,高雄小港機場的航點喔,只恢復在一起的七成到八成,雖然有非常多,你看下面有非常多,大家非常努力的,然後最近的聯合航空有沒有,部長你應該關切到了,他也公開宣布說明年7月要到我們高雄來喔,啊你們,你們交通部有沒有很積極?
transcript.whisperx[274].start 12117.33
transcript.whisperx[274].end 12144.885
transcript.whisperx[274].text 當然很積極,現在聯合航空已經來跟我們申請。沒有啊,部長你的資訊有落差,我昨天還夢過民航局,目前為止聯合航空還沒有遞書申請表。他給我的資料是10月16日上午。他還沒有介紹,所以我覺得部長我們要積極一點,我們要更積極一點,讓我們只能夠飛到美國是飛夢市好不好,這點非常的重要。人家遞書改懶制,人家已經公開宣布了,你交通部就不能坐等,你就要好好的去跟人家好好的接洽,這是我認為最重要的好不好。
transcript.whisperx[275].start 12145.885
transcript.whisperx[275].end 12169.411
transcript.whisperx[275].text 太多委員支持我們會把小港機場再有系統有計劃性的 一定要的啦現在去小港到桃園每個都往桃園然後還有大包小包連桃園下了高鐵之後要到那個機場裡面的我們都還沒有好好的這個部分 所以請委員要支持我們各個年度的這樣公共建設 公共建設沒有問題啦把預算編足公共建設我們都不會擋啦院長 所以預算要趕快過我們明年才可以小港機場的
transcript.whisperx[276].start 12170.151
transcript.whisperx[276].end 12176.455
transcript.whisperx[276].text 現在我都沒有辦法答應你啊。我現在只是大家非常的納悶啊。過去信誓旦旦不管是在蘇院長或是在任何人信誓旦旦都告訴
transcript.whisperx[277].start 12199.17
transcript.whisperx[277].end 12199.37
transcript.whisperx[277].text 主席
transcript.whisperx[278].start 12211.584
transcript.whisperx[278].end 12217.069
transcript.whisperx[278].text 現在也還沒有真正的定案還沒有定案那左營案是因為很多的交通專家跟地方人士認為說這個車到左營以後要往屏東走他必須有一個倒退路所以大家認為不好
transcript.whisperx[279].start 12233.323
transcript.whisperx[279].end 12254.756
transcript.whisperx[279].text 但高雄案就是因為他要用淺鈍的工法還是多少少影響到現在的交通狀況那一定的因為你這個黑暗期是有嘛兩者之間所以到現在決定怎麼樣再拖下去怎麼樣但是院長我在利用這個時間我覺得我們還是要把歷史說一下說實在的高雄發案我現在聽到有些立委又開始在馬尾拉了我親自問過葉部長交通部長
transcript.whisperx[280].start 12256.397
transcript.whisperx[280].end 12256.757
transcript.whisperx[280].text 我沒有這樣講過
transcript.whisperx[281].start 12285.93
transcript.whisperx[281].end 12287.211
transcript.whisperx[281].text 我只是要提醒,好,那我們就把這個責任清楚。
transcript.whisperx[282].start 12301.107
transcript.whisperx[282].end 12326.095
transcript.whisperx[282].text 當初的葉部長也提出而且當初葉部長所提出的理由是經過審慎的報告跟現在的鐵道局所做的報告有什麼差別嗎有什麼差別嗎你們那時候很多人把他罵得要死只管他那時候所提出的報告跟現在鐵道局跟蔡政府不是賴政府是蔡政府的鐵道局其實都是一樣的所以不要是國民黨提出來就有好像有問題要追溯到過去蔡政府提出來大家就覺得沒有意見
transcript.whisperx[283].start 12327.296
transcript.whisperx[283].end 12344.878
transcript.whisperx[283].text 我只是在想辦法解決現在的問題所以說我還是強調那時候並不是而且民進黨執政了8年你如果認為高雄案很棒的話早該實行不要牽托太多但是我還是要問一下部長部長你有沒有看過2019年的評估報告有關於高雄案你沒看過
transcript.whisperx[284].start 12346.729
transcript.whisperx[284].end 12362.698
transcript.whisperx[284].text 因為我沒有提出一個非常清楚的有關於高雄案的這樣子一個報告,因為你現在告訴我們就是說,你有沒有看過,你有沒有仔細看過他的屏幕好不好?2019年的我沒有看過。你沒有看過,你要看一下,因為你現在告訴我們現在是要用選對是一種新的做法,是不是?你那時候有特別提到。
transcript.whisperx[285].start 12363.358
transcript.whisperx[285].end 12377.208
transcript.whisperx[285].text 現在潛頓的技術會比過去更好一些?實際上2019年的時候,但是我還是要提醒在2019年的時候,《蘋果報告》裡面就告訴大家潛頓就是一個可行,所以它並不是一個新的技術,那個時候就已經提出來了,所以我剛剛為什麼盤點?
transcript.whisperx[286].start 12378.889
transcript.whisperx[286].end 12403.336
transcript.whisperx[286].text 都已經把過去的優點跟劣點全部都已經盤點完成了,然後你告訴我所以當初的優點為什麼現在變成不是優點,然後把整個大的方向做一些的改變,這個加加減減,對,又還沒有定案,然後到說到年底有可能,現在幾乎所有的高雄的鄉親都認為到年底,因為說實在的我們南高雄因為是這樣子的黑暗期已經少了8萬人口了,
transcript.whisperx[287].start 12404.616
transcript.whisperx[287].end 12405.896
transcript.whisperx[287].text 一直都是說年底之前會定案年底之前不會再改變了吧
transcript.whisperx[288].start 12433.615
transcript.whisperx[288].end 12434.856
transcript.whisperx[288].text 我們一直都說年底之前
transcript.whisperx[289].start 12463.955
transcript.whisperx[289].end 12463.975
transcript.whisperx[289].text 二、3、4、5、6、7、8、9、10、11、12、13、14、15、16、17、18、19、20、21、22、23、24、25、26、27、28、29、30、31、32、33、34、35、36、37、40、40、40、41、42、43、44、45、46、46、47、49、49、50、50、50、50、50、50、50、50、50、50、50、
transcript.whisperx[290].start 12486.169
transcript.whisperx[290].end 12487.99
transcript.whisperx[290].text 報告委員,我們很積極的跟地方在溝通,如果我現在大膽的請教委員你的建議呢?謝謝
transcript.whisperx[291].start 12511.008
transcript.whisperx[291].end 12533.173
transcript.whisperx[291].text 臺北你看有板橋有臺北市長有南港你看整個所帶動的一個商圈那當然我只是很扼腕當初我提出來這個部分包括我們議員提出來這個部分還被民進黨的議員消遣你難道不知道我們如何如何就現在這一群人同樣的一批人突然站出來說高雄發言才是最好的選擇你知道對於當初所提出來贊成這個提出來的人
transcript.whisperx[292].start 12534.553
transcript.whisperx[292].end 12560.694
transcript.whisperx[292].text 這個這個落差好我們還是一句話不用往前面看我現在只是非常強調的對我們來說整個南高雄的發展那就是如何用這個降低最少的困擾能夠減短我們的黑暗期然後呢還是一句話永續的發展不是大家共同的一個目標謝謝委員部長我們高雄案多一票多一票不只一票啊你去問一下啦非常多啦但是呢還是把2019年平鋪告報全部把它做個比對不要當初的優點現在應該還是優點當初的缺點該怎麼解決
transcript.whisperx[293].start 12571.801
transcript.whisperx[293].end 12575.506
transcript.whisperx[293].text 謝謝柯政委員的質詢,謝謝卓院長及相關部會首長備詢,謝謝。報言會上午的質詢到此為止,下午2點30分我們繼續開會進行交通組織質詢,先來休息。
transcript.whisperx[294].start 21640.911
transcript.whisperx[294].end 21644.576
transcript.whisperx[294].text 發言會現在繼續開會,進行交通組織質詢。 請林委員、易軍質詢。
transcript.whisperx[295].start 21686.852
transcript.whisperx[295].end 21689.333
transcript.whisperx[295].text 有請卓院長有請卓院長備詢林委員好你好你好還有請那個交通部的陳部長還有NCC喔抱歉抱歉那個NCC的綠美小弟的NCC的委法主委你就不用上台了我們等一下請卓院長等一下回答就好了
transcript.whisperx[296].start 21721.479
transcript.whisperx[296].end 21746.395
transcript.whisperx[296].text 院長看到本席你應該知道我想今天本席想要諮詢的重點是什麼了吧?花東或是護理的問題。是是,沒錯本席要繼續關心我們花蓮的觀光還有花蓮交通的問題。那院長首先我還是先感謝你啦,自從你上任之後真的都有遵守承諾。你每個月真的都有到花蓮來視察。我下禮拜還要去。
transcript.whisperx[297].start 21749.002
transcript.whisperx[297].end 21773.695
transcript.whisperx[297].text 謝謝謝謝關心我們花蓮的災後重建但是本席不知道你是真的有沒有看到問題因為還是你只是走馬看花聽聽地方官員給你的看似認真的簡報做做樣子呢因為對我們花蓮人來講現在最重要的問題是要如何活下去因為仰賴我們觀光產業發展的城市因為這個天災各行各業都已經變成了產業真的是棲產的產業
transcript.whisperx[298].start 21777.349
transcript.whisperx[298].end 21798.358
transcript.whisperx[298].text 那我想要請問一下院長還有部長那院長和部長請問一下花蓮平常是不是經常發生地震?花蓮是屬於地震頻傳的區域之一那花蓮是不是常常都是一直在發生地震?你們有這樣感覺嗎?餘震的狀況應該是很頻繁
transcript.whisperx[299].start 21800.239
transcript.whisperx[299].end 21827.276
transcript.whisperx[299].text 那現在問題就來了就是說那我再請問一下電視的新聞台在花蓮0403地震發生以前會不會一直這樣播放花蓮地震的跑馬燈呢那你知道我為什麼沒有地震的發生當然媒體是不會去有這個訊息來報導的好其實好院長其實不是這個樣子你知道我為什麼要這樣問嗎因為花蓮的好多的鄉親都跟我反映說尤其是我們
transcript.whisperx[300].start 21828.337
transcript.whisperx[300].end 21855.894
transcript.whisperx[300].text 在花蓮鄉親的群組上面大家都說三不五時就收到地震的警報有的時候只是一個完全沒有影響到民生和交通的小小地震各家的新聞都是一直在報導而且最後反而是其他縣市的親友都會讓每一個人都感覺人心惶惶甚至比我們花蓮人更害怕更緊張然後都跑來關心花蓮人但是老實說太過頻繁還有非必要的
transcript.whisperx[301].start 21856.414
transcript.whisperx[301].end 21856.454
transcript.whisperx[301].text ﹚第11屆第2會議
transcript.whisperx[302].start 21875.325
transcript.whisperx[302].end 21901.048
transcript.whisperx[302].text 因為花蓮的光光還沒有死 其實人都已經快嚇死了那我們怎麼樣振興花蓮的光光呢 因為大家都不敢來了啊其實在面對地震的時候 應該要教育民眾要怎麼樣的臨危不亂反而這個是比較重要的 結果現在大小地震都放大報導搞到最後都變成唯恐天下不亂 而且現在你看打開電視台
transcript.whisperx[303].start 21902.429
transcript.whisperx[303].end 21922.598
transcript.whisperx[303].text 都一直播花蓮地震的速報為什麼每次一個地震開始的時候各家新聞台的跑馬燈就一直在出現一直在出現一直跑跑到人民的心都慌了跑到大家都真的都不敢到花蓮來旅遊了那院長你知道我們花蓮人心裡其實真的是苦到說不出口了嗎
transcript.whisperx[304].start 21925.539
transcript.whisperx[304].end 21947.107
transcript.whisperx[304].text 地震的預報或是這個報導應該不會侷限是花蓮地區啦況且我們的地震中心或是我們的氣象署他都有法定的職權跟義務必須在一定的程度必須讓全民知道這樣的資訊所以我是希望說讓大家知道這個權利要維護但知道的時候要告訴大家知而不亂
transcript.whisperx[305].start 21948.385
transcript.whisperx[305].end 21951.447
transcript.whisperx[305].text 警告、預警也是好的。警告的時候也叫大家警告,但是你不要警告。
transcript.whisperx[306].start 21965.598
transcript.whisperx[306].end 21992.346
transcript.whisperx[306].text 而且我是想要拜託拜託院長還有NCC可不可以開始請各家新聞台都要自律呢而且你們這地震的警報也要分等級啊你現在二級也在登然後每天都是看到花蓮地震這誰敢來啊我們現在每一個人都是對花蓮沒有信心欸他們都不敢來欸因為他每次都覺得鎮壓一定會是在花蓮然後一看其實只有二級還有三級
transcript.whisperx[307].start 21993.82
transcript.whisperx[307].end 22010.205
transcript.whisperx[307].text 前幾天就發生了啊但是那個新聞台就是跑馬燈一直在跑啊所以我覺得這樣不只自己嚇自己而且是嚇死全國的民眾而且造成全國的民眾的恐慌尤其是大家真的對花蓮都沒有信心了
transcript.whisperx[308].start 22010.985
transcript.whisperx[308].end 22028.652
transcript.whisperx[308].text 當然啦,剛才院長有說,所以其實我也感謝各個新聞台對花蓮的地區的關心,但是這個東西是已經太過關心了,反而產生一個無形的壓力,也讓我們全國的民眾無形中產生了一個叫做花蓮隨時都在地震的標籤化。
transcript.whisperx[309].start 22031.554
transcript.whisperx[309].end 22060.073
transcript.whisperx[309].text 這個標籤話會讓大家都不敢來所以我們將心比心嘛行政院或NCC是否可以建議媒體開始減少全國民眾對花蓮地區的恐懼如果是這樣像院長每個月都到花蓮你也是希望說我們的災後重建還有振興要有一個上升一個非常大的幫助所以我覺得這個或許真的是你們要研議一下是不是要怎麼樣讓大家對花蓮有信心
transcript.whisperx[310].start 22061.553
transcript.whisperx[310].end 22088.703
transcript.whisperx[310].text 請委員理解行政院應該是沒有辦法要求媒體掃報哪一些內容那NCC可以去處理啊我一直要求氣象署在針對各項的預警預告的過程當中要更精確更精準這個是我們花蓮鄉親的問題每一個人都跟我反應每一個群組都說這是要嚇死人嗎我們花蓮現在經濟那麼差了
transcript.whisperx[311].start 22089.703
transcript.whisperx[311].end 22108.692
transcript.whisperx[311].text 氣象署它是不是有一定的公告預告的一個標準到達什麼標準必須要向全民來揭露這樣我記得04、03在那之前的時候其實沒有像現在這個樣子其實氣象署他們只要有地震那必然就會做一個報告啦氣象署的動作一定是這個我剛已經講了要分等級
transcript.whisperx[312].start 22114.134
transcript.whisperx[312].end 22132.021
transcript.whisperx[312].text 氣象署的責任是只要有地震就要告訴民眾有地震他不是說分一級二級三級的問題只要有地震對民眾會很希望只要有地震都要知道所以氣象署大家希望他能夠準這第一個第二個大家希望他的訊息能夠通透這個我們一直在努力做
transcript.whisperx[313].start 22132.481
transcript.whisperx[313].end 22146.094
transcript.whisperx[313].text 所以我現在也是代表我花蓮的鄉親來這邊講這些反映這些事情因為真的現在經濟都很差好我再來想講第二個問題就是院長跟部長你們知道有關花蓮鐵路高價化的交通的問題嗎
transcript.whisperx[314].start 22147.835
transcript.whisperx[314].end 22167.47
transcript.whisperx[314].text 臺灣的東部的鐵路在花蓮市和吉安鄉市區就有7個平面的平交道穿越花蓮市和吉安鄉的鬧區所以這個已經引發民怨的不斷的民怨所以現在臺鐵花蓮站和吉安甘城站的高架工程其實這個蓋我想應該比蘇花安還簡單吧一定不會比蘇花安還難但是究竟何時可以規劃動工還是根本就是不想做
transcript.whisperx[315].start 22175.896
transcript.whisperx[315].end 22200.373
transcript.whisperx[315].text 因為據我了解今年9月的27號鐵道局的計劃書已經送到交通部的本部了但是為什麼又石沉大海呢?音訊全無呢?那請問目前計劃書究竟是已經送到交通部了嗎?還是進度如何呢?那院長跟部長你現在是不是可以承諾本席馬上加速審核呢?因為據我了解
transcript.whisperx[316].start 22202.115
transcript.whisperx[316].end 22215.951
transcript.whisperx[316].text 這個計畫書在政府機關其實來來回回已經修過好多次然後民眾都在等待多年的鐵路的高架化而且在去年112年的4月獲得前交通部長正面的回應了
transcript.whisperx[317].start 22216.471
transcript.whisperx[317].end 22236.946
transcript.whisperx[317].text 同意將花東地區的鐵路雙軌電氣化計畫的工程納入花蓮站至甘城站有7個鐵路平交道的高架立體化辦理,而且並且他也答應了要全額的負擔,改善花蓮市7個鐵路平交道的立體化工程及吉安車站的高架化經費。
transcript.whisperx[318].start 22238.007
transcript.whisperx[318].end 22266.75
transcript.whisperx[318].text 但是本席翻閱了114年的預算書在鐵道局的鐵路及捷運的建設的計畫中有編列花東地區鐵路雙軌電氣化計畫中他有總經費是4562億中114年編列了600億元所以我現在只是想說難道莫非新上任的陳部長你沒有想要黃牛了嗎你不想兌現前任的支票了嗎是不是又要欺騙我們花蓮人了
transcript.whisperx[319].start 22267.882
transcript.whisperx[319].end 22290.173
transcript.whisperx[319].text 報告委員這個案子現在正在進行的是花東的鐵軌軌道的這個雙軌電氣化這個部分一直在進行當中這個沒有什麼黃牛不黃牛的問題那您所提到的高價化的部分目前也正在審議當中目前國發會正在審議那什麼時候可以好呢?國發會在審議這個我沒辦法替他們回答那你可能要幫我們追蹤一下吧
transcript.whisperx[320].start 22296.383
transcript.whisperx[320].end 22321.116
transcript.whisperx[320].text OK好那我想院長其實那麼多個月都到花蓮其實非常充分了解花蓮還有東部的民眾雖然是一個小小的臺灣但是東西的的交通是非常的不同的大部分的交通都是以西部為主嗎我上一次質詢的時候也有說嘛有比較圖出來嘛對不對然後相對西部的時候那我們花蓮的交通資源真的是嚴重的不足
transcript.whisperx[321].start 22321.696
transcript.whisperx[321].end 22350.322
transcript.whisperx[321].text 所以這是我們花蓮民眾大家最痛也是最擔憂的尤其是花蓮在這幾次0403的大地震還有凱米風災還有山陀爾颱風之後那我們花蓮對外的交通中斷真的是變成孤城了啦所以我們現在看一下現在東西的已經不平衡了東西的交通已經不平衡了然後我們現在看現在這次只要風災之後連台鐵還有公路全部都斷了而且這個還有小心土石流
transcript.whisperx[322].start 22350.842
transcript.whisperx[322].end 22376.2
transcript.whisperx[322].text 那我真的是覺得還有我們來看一下另外一個就是我們災前災時災後的情況的比較所以災後的時候也會有管制然後還是不方便那我們是不是看這樣之後我們是不是要快一點要找一條有一條安全替代道路像舒花庵這樣是不是要快一點把它建造完成還是按照其程要如期完工呢
transcript.whisperx[323].start 22376.9
transcript.whisperx[323].end 22401.723
transcript.whisperx[323].text 沒有錯 報告委員 蘇哈安是我們按照期程也一步一步在推動我想這個蘇哈安如果完成之後對交通的改善我們是有所期待的只是我跟您一樣非常的遺憾每次重大工程進行到大家正在如火如荼的時候就來一場大雨來一個颱風讓我們很多要從復原復舊又開始這是我們共同遇到的大自然給我們的挑戰
transcript.whisperx[324].start 22402.123
transcript.whisperx[324].end 22416.721
transcript.whisperx[324].text 我再請院長再看一下像我們東部的交通的便利性沒有一項勝過西部的現在以前本來上一次來比較的時候說什麼雙腳還可以翻山越嶺現在幾乎土石流之後連那種走的都沒有辦法過去
transcript.whisperx[325].start 22418.082
transcript.whisperx[325].end 22442.11
transcript.whisperx[325].text 所以像執政者的交通建設,這對執政者的交通建設是不是一個諷刺呢?這對我們身為同樣是中華民國的國民情何以堪?尤其是在鐵路方面,東部沒有捷運也沒有高鐵,搭火車一票籃球,遇到風災整個都封閉。那院長請問一下花東鄉情除了公路、鐵路,還是不是還可以選擇飛機?
transcript.whisperx[326].start 22443.47
transcript.whisperx[326].end 22444.17
transcript.whisperx[326].text 委員所說的是道路中斷的時候嗎?
transcript.whisperx[327].start 22473.933
transcript.whisperx[327].end 22486.405
transcript.whisperx[327].text 遇到風災又是道路中斷的時候可能比較困難原因是這個樣子如果風災又道路中斷我原本的航空也不能飛船當然也不行因為有風災的時候颱風正在跑
transcript.whisperx[328].start 22488.387
transcript.whisperx[328].end 22516.111
transcript.whisperx[328].text 然後一結束之後呢?因為萬一正好家裡有急事馬上要趕回去的時候呢?報告委員在上一次9月8號有一次也剛好因為遇到大雨所以道路中斷包含公路包含鐵路遇到土石流我們那個時候啟動了三個小時就啟動了一個輸運方案飛機馬上加班那另外就是往南回的鐵路我們馬上加班不但是南回運到輸運大家到高雄我們連高鐵的部分也都接得上
transcript.whisperx[329].start 22516.564
transcript.whisperx[329].end 22538.046
transcript.whisperx[329].text 我們高鐵也加開班次讓那個民眾可以從南部到北部去所以3個小時的SOP我們在交通部已經建立了所以你們已經做好SOP了就對了是不是?沒有錯這個部分我已經建立了但是我有看過你們的SOP目前是有但是不完整所以我是想說如何解決花蓮交通不便還有臨時發生交通中斷的時候你那個吊派飛機
transcript.whisperx[330].start 22539.087
transcript.whisperx[330].end 22539.107
transcript.whisperx[330].text 二、3、4、5、6、7、8、9、10、11、12、13、14、15、16、17、18、19、20、21、22、23、24、25、26、27、28、29、30、31、32、33、34、35、36、37、40、40、41、42、43、44、45、45、46、46、47、49、49、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50
transcript.whisperx[331].start 22563.974
transcript.whisperx[331].end 22584.453
transcript.whisperx[331].text 報告委員您所說的A跟B計畫目前交通部正在努力當中就是航空跟海運的部分藍色公路的部分我也努力想要把它建立起來不過還在努力的過程但您所指的這個C計畫有關於國防部的派遣的部分大概交通部沒有辦法去指揮國防部的部分所以這個部分我大概不行那A跟B我正在努力
transcript.whisperx[332].start 22585.52
transcript.whisperx[332].end 22585.881
transcript.whisperx[332].text 好,謝謝林委員
transcript.whisperx[333].start 22610.902
transcript.whisperx[333].end 22637.154
transcript.whisperx[333].text 好,謝謝卓院長。下一位請廖先祥委員質詢。好,謝謝主席。一樣麻煩幫我們邀請卓院長。卓院長請備詢。
transcript.whisperx[334].start 22646.178
transcript.whisperx[334].end 22673.01
transcript.whisperx[334].text 院長好,放心啊,今天不吵架。我們沒有吵架,沒有吵架。表現我的誠意,我先感謝我們賴清德總統,因為在金山萬里發生大雨、自災的時候,他有到金山萬里去看我們的一些,他的鄉親,也是我們的國民。那總統有到市場裡面去看,金山市場淹水得非常嚴重嘛,對不對。那市場也,總統也有提出一些方案,就是說,現行制度我們,
transcript.whisperx[335].start 22674.035
transcript.whisperx[335].end 22684.138
transcript.whisperx[335].text 總統講這句話應該是對全部的攤商講嘛對不對他希望這個方案能夠讓所有的攤商都能夠適用總統想幫助所有的人對不對
transcript.whisperx[336].start 22703.216
transcript.whisperx[336].end 22707.079
transcript.whisperx[336].text 總統給大家的承諾他現在很難落地因為他有個狀況就是我們經濟部當然會要求來申請的攤商你必須要有營業營業登記商業登記等等的
transcript.whisperx[337].start 22725.612
transcript.whisperx[337].end 22725.712
transcript.whisperx[337].text 總共138家攤商
transcript.whisperx[338].start 22740.011
transcript.whisperx[338].end 22766.141
transcript.whisperx[338].text 但是總共只有28家的攤商符合資格他有營業登記或商業登記剩下的110家的攤商他們有營業的事實他們有繳租金給市政府他們確實是都有受災了但是他們現在都不符合我們經濟部的一個規範那經濟部當然也想協助他們經濟部現在提出的方案是那我就定額好了啦你買個冰箱我看是要補助你3000來6000是什麼的
transcript.whisperx[339].start 22767.461
transcript.whisperx[339].end 22768.122
transcript.whisperx[339].text 我了解委員提出這樣的看法
transcript.whisperx[340].start 22789.383
transcript.whisperx[340].end 22817.381
transcript.whisperx[340].text 也相當的有他的道理在一定的區域裡面固定的商家他有營業的事實對 有營業的事實鄉鄰隔壁我有你沒有可能造成大家心理上的如果這樣子的話我會請經濟部就現在這個本來節能減碳的這個方式原來是對有營業登記證的一些公司是不是可以在法律的解釋上面如果是固定的區域在一定的時間他提出證明
transcript.whisperx[341].start 22818.382
transcript.whisperx[341].end 22826.531
transcript.whisperx[341].text 我想能不能用在法律可以解釋通的狀況底下,我們來做一個專案的討論。我知道,那謝謝院長願意正面的來協助我們的受災戶解決可能他們遇到的問題,先謝謝我們的院長。
transcript.whisperx[342].start 22834.707
transcript.whisperx[342].end 22861.019
transcript.whisperx[342].text 好接下來我就討論一下地方的交通建設下一張我們的這個捷運汐止民生線嘛那其實在今天新北市政府已經完成評選了啦那後續會公道決標的結果那大家預期應該是會順利啦但是當初為什麼會有一個汐止民生線跑出來可能你們都知道原因就是因為原本整條線是到大稻埕汐止區公所到台北市的大稻埕啊時任的台北市政府
transcript.whisperx[343].start 22861.519
transcript.whisperx[343].end 22887.648
transcript.whisperx[343].text 那時候沒有意願做所以新北市先來做局部的路段但是一條捷運我們大家應該都知道一條捷運一定是完整的路段它的效益才高嘛就像我們台北市因為路網密集所以很高台中、高雄還在發展階段所以搭乘率比較低一點那站數越少搭乘的誘因就越低那整條路線越長轉成了站點越多那這條線的效益就更大嘛所以當初的整條線的規劃是汐止區公所到這個
transcript.whisperx[344].start 22889.949
transcript.whisperx[344].end 22910.362
transcript.whisperx[344].text 臺北市的大稻埕,目前感謝我們行政院的協助, 汐止到東湖核定了,地方政府在做了。現在臺北市的東湖大稻埕段, 正由我們的新北市政府在做綜合括號的報告。當然送報告到交通部,我們交通部一定會有審核的機制, 那也提出了一些意見,這些意見可能就是一些
transcript.whisperx[345].start 22911.923
transcript.whisperx[345].end 22931.598
transcript.whisperx[345].text 一些細項我覺得我們也沒有必要在這邊討論那麼多那只是說我們的院長可不可以在這邊就做一些宣誓性的一些發言宣誓性的一些你們未來我們行政院會怎麼樣子來交通來這個交代交通部關於我們汐止民生線東湖段到大稻埕的段希望我們交通部怎麼樣子來協助
transcript.whisperx[346].start 22933.158
transcript.whisperx[346].end 22959.385
transcript.whisperx[346].text 我所知道部分現在這條線就它的興建營運跟主管機關都還在討論當中所以交通部應該要掌握這樣的討論的重點這樣跟新北或是台北市政府去做更多的討論那這個牽涉到這個從汐止到台北這個整個市區裡面的一條動線很重要那麼是請部長來說明一下未來怎麼樣進行這樣的討論跟進行
transcript.whisperx[347].start 22960.825
transcript.whisperx[347].end 22961.826
transcript.whisperx[347].text 一條路線只做一半
transcript.whisperx[348].start 22978.667
transcript.whisperx[348].end 22990.872
transcript.whisperx[348].text 三分之一他的效率一定是差的既然這三分之一已經合定了那剩下的三分之二我們盡量不要讓他的進度落後太多盡量讓整條線的效益都能夠彰顯出來我相信院長跟部長應該都同意這樣的觀點吧
transcript.whisperx[349].start 22992.563
transcript.whisperx[349].end 23013.657
transcript.whisperx[349].text 是嘛,好不好,那就後續就繼續拜託。那接下來我想請問一下院長,你應該有開過車嘛,你有駕照嘛,對不對?有嘛,對不對?那其實我們開車,就是道教條例都有規定嘛齁,要打方向燈嘛,齁,下一張。齁,那其實打方向燈好像是一個很common sense,一個基本的開車應該要基本的一個
transcript.whisperx[350].start 23015.314
transcript.whisperx[350].end 23033.494
transcript.whisperx[350].text 的能力或是說沒有開車的人也知道好像要怎麼打方向呢?但是實際上不是,因為我們台灣的道路並不是都像很多台北市的都市規劃的道路,都是棋盤式的、工整式的。 所以說我前幾天有邀請我們的交通部跟警政署來研討一下,因為有很多一些奇怪的路段
transcript.whisperx[351].start 23034.235
transcript.whisperx[351].end 23056.296
transcript.whisperx[351].text 那到底要怎麼打方向燈,要不要打?那以這個路口來講,其實我這些路段都是當初清北市政府警察局政府清北市政府警察局提供的一些路段,那大家一起來討論一下疑義啦那這個就是Google的路況圖,那左下角當然就是每一張的左下角就是它的俯視圖啦那我想請問一下院長,如果說你開車到這邊來了
transcript.whisperx[352].start 23057.777
transcript.whisperx[352].end 23084.233
transcript.whisperx[352].text 那你要往這條就是圓通路那你要往左切就是貨車的方向去切看起來左岸地方您會不會打左轉燈?如果是右邊那張圖往左邊走是不是我們的方向是阿應該是往左邊走往左邊走要不要打方向燈那如果這條是幹道他應該算直行吧欸院長還算有一點概念對他不用打方向燈好那下一張
transcript.whisperx[353].start 23087.623
transcript.whisperx[353].end 23102.708
transcript.whisperx[353].text 第二這條路就很好笑了當然這也是地方政府的問題一條路開到這邊來往前走是叫廉聖街往左走也叫廉聖街那您看一下右邊這邊如果說你要順著路往左邊走的話要不要打方向燈右邊這張圖對右邊這張圖往右邊像這個機車這樣子走往左走嗎對
transcript.whisperx[354].start 23111.867
transcript.whisperx[354].end 23122.279
transcript.whisperx[354].text 應該也是同樣道理吧,還是他,因為這樣看不出哪一條是主要的道路。對,其實左邊應該是換道路。有換線的應該是主要道路。對,好,那所以說院長的答案應該是?
transcript.whisperx[355].start 23124.85
transcript.whisperx[355].end 23142.347
transcript.whisperx[355].text 要不要打?如果是往左邊走,他有畫中間一條線是不是?不曉得。如果是沿著這樣線,沿著線走應該是不用打方向燈?對,我也認為應該不用,但是這個路口真的很特殊,他前面一定要連線接,所以這可能牽扯到地方主管機關到底怎麼認定誰是,哪一條是主要幹道的續行。
transcript.whisperx[356].start 23142.887
transcript.whisperx[356].end 23142.907
transcript.whisperx[356].text 左邊﹖對
transcript.whisperx[357].start 23170.814
transcript.whisperx[357].end 23174.377
transcript.whisperx[357].text 路口有右轉標示跟左轉標示,那如果說我們順著右邊的路,摩托車這條路走
transcript.whisperx[358].start 23193.997
transcript.whisperx[358].end 23207.694
transcript.whisperx[358].text 兩邊都有摩托車,是哪一個?右邊右邊,走右邊這條?可能要按那個三角形的,兩邊都讓他亮吧?走右邊的,當然右邊是幹道啦,我跟院長說右邊是幹道啦,如果是幹道是一樣,那如果說往右轉的話?右轉幹道是不用嗎?
transcript.whisperx[359].start 23214.605
transcript.whisperx[359].end 23240.531
transcript.whisperx[359].text 其實部長也是因為這麼問,應該是跟剛剛的答案相反。應該是不用啦,但其實連部長都有疑問了。就代表我們其實大眾對要不要打方向燈這件事情,在現行的法規其實大家沒有一致的高度的共識啦,包括我們的交通部有解釋,我等一下再給您看一下。那可能包括民眾啊,或者是警察單位,其實大家有不同的見解啦。我們直接往後面,再下一張。
transcript.whisperx[360].start 23242.452
transcript.whisperx[360].end 23243.073
transcript.whisperx[360].text 車輛1該條道路現行轉彎行駛時
transcript.whisperx[361].start 23259.135
transcript.whisperx[361].end 23279.137
transcript.whisperx[361].text 非屬車輛不依該道路原方向行駛的轉向行為那駕駛人不需要顯示方向燈所以院長剛剛講的很多的答案應該都是幾乎都是對的那這個轉這個依道路行駛那他不包括穿越入口如果說包括穿越入口那包括地上有沒有
transcript.whisperx[362].start 23279.817
transcript.whisperx[362].end 23306.767
transcript.whisperx[362].text 左彎線或右彎線,因為剛剛有一張圖是我們有右彎的標示跟左彎的標示,我們往右走,那院長也認為不用打方向燈。 但是實務上我們的基層或是我們的交通單位在對於道路的標線跟要不要打方向燈這件事情的時候,其實是沒有掛鉤的。 因為沒有掛鉤所以說院長知道剛剛那條路往右邊走的時候,你可以跳到那一張,往右邊走的時候你知道是不用打方向燈的。
transcript.whisperx[363].start 23308.473
transcript.whisperx[363].end 23332.399
transcript.whisperx[363].text 就這一張因為你看左邊這邊他其實是有右轉箭頭的那原則上其實他是不用打方向燈因為他是照著道路線行走那所以說其實我那個現在的這個運輸研究所交通部運輸運營所也有發現打方向燈這一件事情因為最近的檢舉案件真的很多那警察同仁他每一個因為每一個員警同仁他對於
transcript.whisperx[364].start 23333.697
transcript.whisperx[364].end 23355.102
transcript.whisperx[364].text 他對於路口要不要打方向燈這件事情他自己本身的法治的觀念可能都不一定有院長那麼好他可能覺得有右轉箭頭我就要打右轉燈我龍頭右轉我的方向盤右轉我就要打方向燈那其實是錯誤的觀念那我也希望說這件事情因為這每天都在發生很多民眾都啞巴吃黃蓮說到的就算了嘛那有時候申訴也是
transcript.whisperx[365].start 23356.172
transcript.whisperx[365].end 23367.632
transcript.whisperx[365].text 也是到了警察維持原判裁決所也是原則會尊重舉發單位啦好不好希望每天都有很多這樣的事情那我希望我們的交通部競速
transcript.whisperx[366].start 23369.966
transcript.whisperx[366].end 23391.048
transcript.whisperx[366].text 研討會結束之後,我請我們交通部儘速的提供一些解釋函,最好是有一些入口的範例給地方所有的警政單位去參考,讓他們希望在執法上面有一致的標準。那後續可能我們交通部對於用路人,因為打方向燈最重要的是大家有一致的概念,才不會誤會前車打方向燈是什麼意思。
transcript.whisperx[367].start 23392.169
transcript.whisperx[367].end 23412.45
transcript.whisperx[367].text 最重要的就是提示候車嘛所以當大家有一致的觀念那一致的執法的時候那我們打方向燈才是安全的也才不會出現許多的烏龍罰單好不好那就部長後續麻煩你那包括議員所後續他可能會提出一些方針指引那也是我們盡快的把它提出來好不好這一點好謝謝好那另外喔這個
transcript.whisperx[368].start 23414.639
transcript.whisperx[368].end 23434.711
transcript.whisperx[368].text 下一個議題我問一下院長你應該有在操場跑過步對不對?是那你應該知道操場的一些規則跑步的規則跑步的人會在哪些跑道?會在跑步的人會在哪些跑道跑步?哪些跑道?對沿著操場的跑道?對他有1、2、3、4、5、6、7個跑道
transcript.whisperx[369].start 23438.117
transcript.whisperx[369].end 23455.352
transcript.whisperx[369].text 跑步的人會在內側跑道啦越快的人會在最快的人會在最內側跑道然後次快的在內二然後內三那原則上外面的五六七八就是給一般的散步民眾使用這是一般的運動場的規定也不是規定啦就是大家的一個高度共識為什麼會這樣子規定
transcript.whisperx[370].start 23457.81
transcript.whisperx[370].end 23463.598
transcript.whisperx[370].text 對,速度這件事情一樣才不會發生碰撞,這是非常重要的。 我也認同這樣的觀念,那當然運動場都是用這樣。 但是我們的道路上卻有發現在規範上面
transcript.whisperx[371].start 23475.253
transcript.whisperx[371].end 23496.108
transcript.whisperx[371].text 就是說我們在運動場上面這樣規範的時候,我們不會去管他是大人、小孩、老年人,或者是我是瘦的人、我是胖的人,我有不同的跑道的規範嘛,對不對?我們就是單純用速度來規範我們要跑哪個跑道,但是我們的道路卻不是這樣子的規範,我們的道路很明確的就分汽車跟機車,但是我們的市區的道路,
transcript.whisperx[372].start 23496.989
transcript.whisperx[372].end 23509.776
transcript.whisperx[372].text 的限速一般來說大概就是5050這個速度是所有機車幾乎都可以輕易達到的一個速度但是我們卻限制所有的機車他可能只能在最外側跟外二的跑道這是我們的交通規範裡面所訂定的99條那邊嘛
transcript.whisperx[373].start 23512.717
transcript.whisperx[373].end 23538.32
transcript.whisperx[373].text 那所以說很多路權的機車路權團體都在提這件事情阿我們要提倡交通安全的時候我們是應該是用速度分流用方向來分流左轉彎的車靠左邊右轉彎的車靠右直行的車靠中間那如果說都是直行車的話呢你快車的時候要靠哪邊應該是速度跟方向的分流而不是用車種的分流我不知道因為部長您算是交通的素人阿好不好
transcript.whisperx[374].start 23538.86
transcript.whisperx[374].end 23542.464
transcript.whisperx[374].text 我昨天有跟路權團體碰面過、也座談過,這個議題我們有討論過,所以這個部分沒有問題,我們也會輔導地方政府在進行機車的車道盡量減少。
transcript.whisperx[375].start 23561.087
transcript.whisperx[375].end 23565.089
transcript.whisperx[375].text 大會主席江啟臣副院長各位列席官員大家好主席有請行政院左院長交通部陳部長
transcript.whisperx[376].start 23590.25
transcript.whisperx[376].end 23590.513
transcript.whisperx[376].text 左院長陳部長請備詢
transcript.whisperx[377].start 23599.435
transcript.whisperx[377].end 23627.855
transcript.whisperx[377].text 委員長好 委員長好 委員長好 委員長好首先恭喜部長能夠來 我想 剛才跟你講一句話 希望未來在台中地方市府海上所有的交通建設 大家可以密切的合作 讓台中海上的保溫能夠快速的提升 能夠衍接整個直轄市的交通狀態能夠往上的來成長 我覺得各位發表了
transcript.whisperx[378].start 23632.058
transcript.whisperx[378].end 23641.967
transcript.whisperx[378].text 沙鹿要設站捷運通龍井發展新產業臺中大振興請教院長部長這個看到這個有沒有熟悉的感覺
transcript.whisperx[379].start 23646.544
transcript.whisperx[379].end 23650.245
transcript.whisperx[379].text 這兩段文字我想這是2013年我們陳部長當時在參選立委時的政見這裏面有很多件事
transcript.whisperx[380].start 23662.409
transcript.whisperx[380].end 23680.969
transcript.whisperx[380].text 人們現在遇到很大的困難第一就是我們台鐵海線班次一直無法增加受限的原因就是因為它是單軌那車次無法提升造成了班次少然後乘客意願低落的主要原因
transcript.whisperx[381].start 23681.73
transcript.whisperx[381].end 23705.635
transcript.whisperx[381].text 那我在日前向交通部鐵道局詢問目前海線雙軌高架的進度﹖他的回答是113年6月23日含請臺中市政府回應修正報告書。那臺中市政府科證依國發會審查意見修正報告書在臺中市政府113年2月23日提報可行性修正報告給交通部。
transcript.whisperx[382].start 23707.089
transcript.whisperx[382].end 23721.52
transcript.whisperx[382].text 三、10月29日部在報院續審。 國發會6月19日函送審查意見給交通部﹐每一次意見修正、補正、公文往返﹐花費的時間不只是時間﹐
transcript.whisperx[383].start 23722.961
transcript.whisperx[383].end 23741.002
transcript.whisperx[383].text 按照現在通膨跟物價上漲的速度每一次預算都往上攀升那如果今天台中市政府再次提報修正計畫給交通部部再報院、院再交國發會、國發會又再提修正意見一次就半年了
transcript.whisperx[384].start 23741.85
transcript.whisperx[384].end 23768.339
transcript.whisperx[384].text 一次往返這半年,這半年半年這樣到現在來,我每一次在總執行山炊事情,都是在為國家要節省預算,要希望這個交通的建設能夠加快速度。那今天院長跟部長我在這邊要請教你,有沒有更快的速度、更好的效率,能夠讓這個案子能夠盡速的核定,可不可以告訴我一個時間表。
transcript.whisperx[385].start 23769.629
transcript.whisperx[385].end 23785.043
transcript.whisperx[385].text 好,報告委員,這件事情其實確實,現在台中市政府正在修訂計畫書當中,不過其實每次往返我也覺得這樣很浪費時間,所以我也有拜託我們的鐵道局,他們也確實也趕快去催促了台中市政府在8月2號、8月22號跟9月27
transcript.whisperx[386].start 23787.785
transcript.whisperx[386].end 23817.465
transcript.whisperx[386].text 都喊請市政府要儘速的提供這個修正的報告書那目前為止市政府還沒提供來但是我跟委員承諾如果他提來了我們在布的這個程序上面我們會盡量來加速因為這也是長期我們在爭取的一個希望有的一個地方的建設那當時在甚至在胡志強市長在擔任市長的時候我就跟蔡其昌委員一起去爭取了可行性評估的這個經費那也當然過了很多年鄉親都很期盼交通部一定會來加速所以這一點您放心
transcript.whisperx[387].start 23821.327
transcript.whisperx[387].end 23839.735
transcript.whisperx[387].text 海線雙軌高架目前經費中央負擔221億台中市府負擔177億如果再拖下去未來造價會更高此外烏日大慶捷運高架化這個部分這是我們補充你的選區給你替路告解這部分從2013年
transcript.whisperx[388].start 23846.277
transcript.whisperx[388].end 23855.084
transcript.whisperx[388].text 到現在超過11年了一直在耽擱,我不曉得說中央到底誰在卡在卡什麼,為什麼這個進度都沒有辦法提前
transcript.whisperx[389].start 23855.765
transcript.whisperx[389].end 23877.644
transcript.whisperx[389].text 那現在的程序一樣在今年的3月23日曾報行政院續審、續行審議。那國發會在6月19日又函送審議的審查意見又交給交通部。 鐵道局6月27日又函請臺中市府回應及修正報告。 所以我剛才說的,你給我回答的,這次我又跟你說
transcript.whisperx[390].start 23879.325
transcript.whisperx[390].end 23886.83
transcript.whisperx[390].text 這個部分來來往往來來往往短短的3.7公里總預算才83億到現在還卡在中央
transcript.whisperx[391].start 23887.657
transcript.whisperx[391].end 23910.994
transcript.whisperx[391].text 那如果說,上個會期我們也辦理會館考察,那現在到底是在卡什麼?你到底可以告訴我們說,你的臨來,保定你的臨來,我就當工嗎?這案件我就合定當工嗎?這個案子跟剛剛的那個海線雙軌高架其實是同一個案子,他們併在一起,所以我剛剛有報告過,現在我們的交通
transcript.whisperx[392].start 23911.534
transcript.whisperx[392].end 23911.835
transcript.whisperx[392].text 交通部會加速
transcript.whisperx[393].start 23921.444
transcript.whisperx[393].end 23943.22
transcript.whisperx[393].text 這個我們東北地區重要的,我們的鐵路建設、軌道建設,如果溝通上有問題、有困難,我願意說我們來召開一個中央跟地方的協調會議,那也請院長、部長,如果可以請你們來參加,讓我們把所有的問題都釐清,到底中央在卡?誰在卡?還是地方有什麼?
transcript.whisperx[394].start 23944.04
transcript.whisperx[394].end 23948.963
transcript.whisperx[394].text 報告委員,如果這個是部長當年選舉提出的政見,那我想部長要再謹慎的去跟地方了解一下。因為他沒有當選,是不是地方的人士不希望他這麼做?
transcript.whisperx[395].start 23967.932
transcript.whisperx[395].end 23990.158
transcript.whisperx[395].text 這十幾年齁 如果沒有大家這個彼此的 我跟你講 現在台中市政府卡在中央的款項 中央的核定跟補助 地方沒有辦法靠一己之力 台中市政府做不來 一定要有中央的幫助 所以我希望說我們院長跟部長能夠大力的來促成
transcript.whisperx[396].start 23991.178
transcript.whisperx[396].end 24012.427
transcript.whisperx[396].text 接下來我再來提就是我們高鐵特區現在積極發展烏日高鐵特區然後將台中發展成會議及會展中心導入觀光、休閒、商務等進駐台中這部分在現在的高鐵有一個投資案投資金額超過260億開發面積超過15公頃
transcript.whisperx[397].start 24016.509
transcript.whisperx[397].end 24045.489
transcript.whisperx[397].text 新建全國最大的購物商城,影城,五星級酒店,還有A級辦公大樓,購物中心的樓地擺面積超過9萬平,規模是臺中新光三列加上大圓擺的1.6倍大,臺北101的4.8倍,預計在115年第4季要完工,將會是全臺最大的百貨購物商城,但在這個美好的憧憬之下,我們臺中人最擔心的就是交通的瓶頸,
transcript.whisperx[398].start 24046.881
transcript.whisperx[398].end 24060.762
transcript.whisperx[398].text 10月15日禮拜二我們江副院長也邀請部長率領交通部的團隊進行討論本席的辦公室也有例席參加那現在知道就是說一個月內要組成專案小組要針對國道一一增設交流道
transcript.whisperx[399].start 24061.502
transcript.whisperx[399].end 24064.163
transcript.whisperx[399].text 有請部長告訴我預期的目標跟方向是什麼
transcript.whisperx[400].start 24085.024
transcript.whisperx[400].end 24112.558
transcript.whisperx[400].text 預期的目標跟方向我們當然希望未來整個商城起來之後那個地方不要有交通打擊的狀況那目前當然所謂的交通的輸運剛剛委員有提到那邊蠻複雜的有高鐵有台鐵有捷運還有高速公路還有快速道路那當然重要的是市區道路在那個地方要連結出來也是很重要那目前台中市政府正在辦理就是高鐵特定區那個地方的整個交通的整體的規劃
transcript.whisperx[401].start 24113.658
transcript.whisperx[401].end 24133.039
transcript.whisperx[401].text 那目前他們的案子其實蠻多有臺灣轉移 有沒有溝通?部長有跟市政府溝通嗎?跟市政府交通局做過溝通嗎?那一天我在江副院長那邊有說過了齁我跟你講現在你也知道 交通部會進入來協助我目前也已經折成了運研所、高工局跟公路局各單位大家一起參與跟他們一起來討論做一個專案的處理
transcript.whisperx[402].start 24135.846
transcript.whisperx[402].end 24153.298
transcript.whisperx[402].text 現在高鐵特區光是上下班時間,車輛回堵到高架橋上,這是每天都發生的。未來,這個115年商城完工之後,那個會非常的困難,所以你們現在一定要儘早提早來啟動。那另外,我要再提醒,
transcript.whisperx[403].start 24154.269
transcript.whisperx[403].end 24180.672
transcript.whisperx[403].text 除了王田這個國道1號烏日閘道的偵測部分那我相信我們高工局這個部分他有提出要偵測閘道的困難但是我希望交通部能夠盡以你們的專業然後來了解能夠來積極的協調如果能夠偵測這個烏日閘道的部分利用烏日區他的現有的一個道路的一個路廊
transcript.whisperx[404].start 24181.152
transcript.whisperx[404].end 24181.292
transcript.whisperx[404].text 主席
transcript.whisperx[405].start 24191.805
transcript.whisperx[405].end 24211.861
transcript.whisperx[405].text 因為烏日地區我們知道這10年來移入的人口超過1萬人那尤其都是集中在高鐵特區那原本交通的負擔就很大加上這個鐵道局的促參案未來會更吃緊所以中央千萬不要袖手旁觀中央能做的一定要先啟動這一點部長能不能做到
transcript.whisperx[406].start 24212.919
transcript.whisperx[406].end 24221.233
transcript.whisperx[406].text 這一點我們已經要組專案小組了,所以這個部分委員不用擔心,江副院長有出面協調,這個部分我們交通部會來協助。
transcript.whisperx[407].start 24223.046
transcript.whisperx[407].end 24242.238
transcript.whisperx[407].text 好,再來,剛剛提到的這個議題,鐵道建設,那所有的捷運,臺中的捷運都是,不管是北捷、高捷都經歷過這樣的陣痛期,都有點線面來形成這個捷運路網,那都是因為一開始的路線不完整,轉程的困難,民眾搭乘運不足,
transcript.whisperx[408].start 24243.098
transcript.whisperx[408].end 24263.371
transcript.whisperx[408].text 所以現在台中除了綠線已經通車,藍線可行性評估核定,那目前正在進行的機場捷運,還有我們的機場捷運就是橘線,那捷運藍線延伸到太平,捷運紫線就是我們屯區環狀線,還有捷運綠線延伸到大坑及彰化的部分,
transcript.whisperx[409].start 24264.042
transcript.whisperx[409].end 24291.041
transcript.whisperx[409].text 那我今天要說的是捷運局限的部分因為他串聯屯區霧峰然後臺中火車站最後來到臺中國際機場那我想了解一下目前的進度那依照我現在所知道的就是113年7月2號的時候交通部召開捷運的審查會原則上同意那請臺中市政府依審查意見修正目前呢臺中市政府正在修正當中
transcript.whisperx[410].start 24292.102
transcript.whisperx[410].end 24318.106
transcript.whisperx[410].text 我們在跟施政委的交通局還有鐵道局在沙路會刊主要是希望能夠透過爭取局限的延伸段然後呢這個由台中機場延伸到沙路與臺灣大道的南線做銜接就如同剛剛本席前面講到的捷運要達到路網的程度才能提升旅客的乘車意願那未來這個路線看起來最長
transcript.whisperx[411].start 24318.947
transcript.whisperx[411].end 24319.228
transcript.whisperx[411].text 臨時提案
transcript.whisperx[412].start 24322.813
transcript.whisperx[412].end 24348.598
transcript.whisperx[412].text 那原先規劃的捷運局限只有在台中火車站跟南線有交會所以希望能夠在海線也可以有交會處這樣可以擴大整個捷運的路網那以支線的方式讓捷運局限跟南線有更完善的一個轉乘機制能夠串聯台中港及台中國際機場就能夠形成更完整的打造捷運路網來發揮運輸的最大效益
transcript.whisperx[413].start 24349.398
transcript.whisperx[413].end 24351.22
transcript.whisperx[413].text 兩段的延伸線,院長、部長可不可以支持?
transcript.whisperx[414].start 24373.944
transcript.whisperx[414].end 24388.776
transcript.whisperx[414].text 報告委員,這個部分其實局限正在臺中市政府它的可研當中,所以延伸的部分其實可以放得進去,那如果有需要經費可研的部分,可簡訊研究的部分有需要經費,交通部也都支持。
transcript.whisperx[415].start 24389.569
transcript.whisperx[415].end 24404.638
transcript.whisperx[415].text 所以我們在15號的時候我們副院長這邊召集的這個協商會議 院長部長部長當你們做成協議就是說把延伸的部分也一併提出納入這一次的一個一個會議一個修正那好那我想
transcript.whisperx[416].start 24406.718
transcript.whisperx[416].end 24434.754
transcript.whisperx[416].text 院長部長如果支持我希望說這不是口頭上最主要就是行動行動的支持最重要那臺中市已經成為第二大城市那也是我們國冷藍奶北氧必經之地都要經過臺中那未來臺中的發展也是對整個臺灣有一個最臺中的發展對臺灣的幫助也最大臺中市每一年創稅給中央接近2000億
transcript.whisperx[417].start 24436.192
transcript.whisperx[417].end 24461.904
transcript.whisperx[417].text 那但是中央不管透過統籌分配或者是其他的一般補助到回到台中的都不足大概在800億左右那這樣子的部分所以我們希望在任何的不管是尤其是交通建設不要大小眼我們看台中也好、高雄也好、台南也好不要把台中看作最衰末台中的比例永遠是最少
transcript.whisperx[418].start 24462.324
transcript.whisperx[418].end 24479.462
transcript.whisperx[418].text 所以這部分我希望既然部長你容認了你能夠擔任這個交通部的部長那過去你的選區在我們大烏龍希望你能夠重視我們台中市的發展好 院長部長平常有在搭乘大眾捷運系統嗎
transcript.whisperx[419].start 24480.657
transcript.whisperx[419].end 24482.458
transcript.whisperx[419].text 目前台鐵我是有承諾在過年之前
transcript.whisperx[420].start 24511.909
transcript.whisperx[420].end 24539.212
transcript.whisperx[420].text 好,謝謝言委員。好,左院長還有陳部長,剛剛言委員質詢這些問題都對大台中未來的發展至關重要,所以請務必專案來處理,超前部署。那可以的話應該實地來了解一下,不要最後變五路打結,我們希望是五路財神,中央地方合作一起來解這個交通的結。
transcript.whisperx[421].start 24540.592
transcript.whisperx[421].end 24544.995
transcript.whisperx[421].text 好,下一位我們請謝一鳳委員質詢。謝謝江副院長。我想要請卓院長、陳部長、還有公共工程的陳主委。卓院長、陳部長、陳主委,預備請。
transcript.whisperx[422].start 24574.011
transcript.whisperx[422].end 24575.876
transcript.whisperx[422].text 建委好主委好
transcript.whisperx[423].start 24579.755
transcript.whisperx[423].end 24606.834
transcript.whisperx[423].text 我想請問一下就是陳主委在宜蘭的鐵路高價化的時候你有提到就是他們總預算是501.29億然後中央補助395.57億地方是105.72億可是你因為就是他的財力分級是3到5級中間所以你降低了就是
transcript.whisperx[424].start 24607.614
transcript.whisperx[424].end 24626.628
transcript.whisperx[424].text 依然的這個自籌款是不是?你能不能說明一下?跟委員報告,這個是關於土地取得的部分,用地取得的部分因為將來是屬於國營、台灣鐵路公司所有,所以我們評估用地由中央來負擔。
transcript.whisperx[425].start 24627.881
transcript.whisperx[425].end 24650.394
transcript.whisperx[425].text 另外就是調度機場,機場將來也是調度場,調度場這部分也是跟用地取得一樣,是由中央來負擔。 那麼除此之外,那是因為他的財政等級是第4級,所以是按照這個非自償性的按照比例來分配。
transcript.whisperx[426].start 24651.872
transcript.whisperx[426].end 24678.134
transcript.whisperx[426].text 那這是我們彰化縣的彰化市的鐵路高架那你看我們的用地費用是26.17億那我們非自償性的經費是48.3億那可以降低多少?非自償性是因為中央地方按照財政等級來分配阿你如果基於你剛才說的用地因為未來這些都是屬於台鐵的
transcript.whisperx[427].start 24680.08
transcript.whisperx[427].end 24682.802
transcript.whisperx[427].text 在做綜合規劃的過程當中,你能不能說一下基地費可以省多少?
transcript.whisperx[428].start 24702.435
transcript.whisperx[428].end 24702.995
transcript.whisperx[428].text 目前正在綜合規劃
transcript.whisperx[429].start 24728.274
transcript.whisperx[429].end 24730.275
transcript.whisperx[429].text 我們的財政等級是跟宜蘭的一樣嘛,都是第4級嘛,在這個情況下為什麼會有這樣子的差別?
transcript.whisperx[430].start 24749.482
transcript.whisperx[430].end 24770.383
transcript.whisperx[430].text 我跟委員報告,因為宜蘭的鐵路高架已經完成環評了,已經在進入細部設計,所以他馬上就要提綜合規劃。所以如果等到完成環評,然後進入綜合規劃的時候,那可以比照宜蘭的方式嗎?
transcript.whisperx[431].start 24772.062
transcript.whisperx[431].end 24798.403
transcript.whisperx[431].text 我們這個可以另案協商,到時候我們會再來協商。你沒有承諾阿,陳部長你沒有承諾阿。每一個縣市的狀況不一樣。你能不能比照宜蘭的部分?是不是可以比照宜蘭的部分?我們會來協商,但是現在宜蘭也還沒定案。對對對,可是剛才那個陳主委說的,他已經協助了嘛。那未來如果完成環評,可以比照嗎?大家可以專案來協商阿。可不可以比照?
transcript.whisperx[432].start 24799.399
transcript.whisperx[432].end 24826.656
transcript.whisperx[432].text 專案協商要看縣政府所提出的需求是什麼?還有今年李孟彥部長他來到彰化就是看76縣相關的延伸案的時候他提到了對於未來就是二林中科的用水用電是朝著一個開放的方向 左院長該不會現在交通部長換人了
transcript.whisperx[433].start 24829.167
transcript.whisperx[433].end 24831.528
transcript.whisperx[433].text 是不是整個規劃就會改變?那他當初說用水用電
transcript.whisperx[434].start 24850.325
transcript.whisperx[434].end 24868.841
transcript.whisperx[434].text 會朝著開放的方向,那可以爭取讓更多高科技AI的相關產業進到20中科,因為現在中科它的使用沒有超過一半,那未來
transcript.whisperx[435].start 24870.302
transcript.whisperx[435].end 24899.43
transcript.whisperx[435].text 我們經過了76縣的延伸,它是怎麼樣子?銜接1號到3號以及61縣從北到彰化這裡都已經通車了嘛,是不是?那如果在這樣子的情況下造成這邊路網的方便,那是不是可以把20中科的用水用電也都放寬它的限制呢?可不可以?
transcript.whisperx[436].start 24900.356
transcript.whisperx[436].end 24918.355
transcript.whisperx[436].text 目前各個地方縣市的首長都很積極在招商尤其歡迎高科技甚至是國際大廠去設廠那必須考慮到這個地區他自己縣市或是周遭鄰近地區整個能源的供應能不能配得上所有的快速的發展
transcript.whisperx[437].start 24919.716
transcript.whisperx[437].end 24941.857
transcript.whisperx[437].text 張嬅縣是離岸豐電的主要的豐廠那也提供了非常多綠能相關的那在就這個部分的確對於張嬅縣民來說如果沒有高科技高科技最需要的綠電都是由張嬅來提供的時候那為什麼
transcript.whisperx[438].start 24943.725
transcript.whisperx[438].end 24968.518
transcript.whisperx[438].text 獨厚其他的縣市,為什麼行政院都沒有考慮到彰化縣呢?行政院沒有不考慮到哪一個縣市?你認為為什麼沒有考慮到彰化縣呢?沒有不考慮到哪一個縣市?只要地方上能夠提出一個有充裕的土地,經過合理的開發,那麼也有充裕的水源,那麼能源的供應上,它也不會造成太大的負擔或是困擾。是不是因為換了部長?
transcript.whisperx[439].start 24972.02
transcript.whisperx[439].end 24996.609
transcript.whisperx[439].text 過去李孟彥部長他就是彰化人,他說的時候對於彰化就特別的友善,現在因為我們陳部長他是台中人,所以在相關建設的考量上面就沒有對於彰化未來的規劃以及發展。
transcript.whisperx[440].start 24998.249
transcript.whisperx[440].end 24999.53
transcript.whisperx[440].text 二零中科的用水用電
transcript.whisperx[441].start 25017.546
transcript.whisperx[441].end 25020.147
transcript.whisperx[441].text 的地方要提出或是委員提出
transcript.whisperx[442].start 25033.635
transcript.whisperx[442].end 25052.129
transcript.whisperx[442].text 行政院沒改組嗎?是不是?行政院現在沒有改組嗎?只有換了閣員啦!或是地方政府提出它有什麼樣的需求,我們會進行評估可行性怎麼樣做,以及配合整個周遭的公共建設設施怎麼來執行。這個是整套的,而不是說,我要給你方便,那就...
transcript.whisperx[443].start 25052.89
transcript.whisperx[443].end 25053.35
transcript.whisperx[443].text 張嬅縣政府已經提出申請了。
transcript.whisperx[444].start 25082.79
transcript.whisperx[444].end 25084.151
transcript.whisperx[444].text 再來就是我們今年是不是對於高鐵的用電有給予補助?
transcript.whisperx[445].start 25113.373
transcript.whisperx[445].end 25136.321
transcript.whisperx[445].text 高鐵他應該沒有特別給補助沒有給補助嗎?他的用電有沒有漲價?跟大家都一樣所以他用電是有漲的嗎?是有漲的他用電有漲嗎?有,他有漲那所以高鐵的票價有可能要漲價嗎?報告委員,目前高鐵沒有在討論票價調漲的問題所以沒有?不會漲價?目前還沒有討論到這個
transcript.whisperx[446].start 25139.741
transcript.whisperx[446].end 25164.111
transcript.whisperx[446].text 所以你的意思是高鐵的票價不會漲價嗎目前沒有討論漲價所以應該沒有漲價這個議題這是第一點那第二點我有提醒高鐵公司在他們營運的狀況還可以的狀況底下要考慮到自己要擔負這個公共運輸大家通勤的這個責任因為運輸本來就是一個通勤上面的責任必須要負起
transcript.whisperx[447].start 25165.336
transcript.whisperx[447].end 25169.957
transcript.whisperx[447].text 高鐵票價會不會漲價?不會漲價嗎?所以你承諾未來不會漲價?我很難承諾多久的未來我不曉得還是委員您定義一下多久的未來?
transcript.whisperx[448].start 25189.935
transcript.whisperx[448].end 25217.305
transcript.whisperx[448].text 目前不會因為電價的調漲而漲價,我能跟您這樣說。那未來票價會不會漲?未來,至少...今年票價會不會漲?你要定義嘛,今年票價會不會漲?對,今年不會漲。那明年會不會漲?你現在是保證今年不會漲?那明年會不會漲?我要看高鐵公司有沒有提出來要漲價的方案,如果他有提出來我們再來討論,但目前為止高鐵公司並沒有提出漲價的方案。
transcript.whisperx[449].start 25219.283
transcript.whisperx[449].end 25225.769
transcript.whisperx[449].text 我們希望未來能不能再彰化,再增加班次呢?
transcript.whisperx[450].start 25227.014
transcript.whisperx[450].end 25248.938
transcript.whisperx[450].text 因為我看到現在其實彰化的高鐵站已經越來越多人搭乘了。 在這樣的情況下過去李部長他今年來的時候有在田中站增加了高鐵的班次。 未來我們是不是可以繼續增加高鐵的班次呢?
transcript.whisperx[451].start 25249.298
transcript.whisperx[451].end 25264.165
transcript.whisperx[451].text 高鐵班次因為我們有一個班次的整體調整所以全國各地其實都有增加班次那彰化如果委員希望再多增加一些我來去跟高鐵公司來商量這件事看他們可不可以研議一下看在彰化站我們再來增加班次
transcript.whisperx[452].start 25264.773
transcript.whisperx[452].end 25286.648
transcript.whisperx[452].text 我希望我們政府的這個施政不應該要分縣市我們應該共同的協助就是所有各縣市那如果在於我們20中科的這個用水用電方面因為我們知道現在AI的需求很旺盛
transcript.whisperx[453].start 25287.449
transcript.whisperx[453].end 25287.489
transcript.whisperx[453].text 是沒錯
transcript.whisperx[454].start 25303.553
transcript.whisperx[454].end 25318.221
transcript.whisperx[454].text 那是不是能請卓院長可以大力的促成我們解除二齡中科用水用電的限制的這個問題呢?跟委員報告第一件事情您剛剛說的跟我的想法完全一致我們就是均衡台灣
transcript.whisperx[455].start 25319.221
transcript.whisperx[455].end 25333.799
transcript.whisperx[455].text 各個族群均衡,各個地域均衡,各個產業均衡。你講的一致是說均衡台灣的部分一致,但是二齡中科的用水用電的限制放寬沒有一致,是不是?高鐵的部分它也是個營運的公司,它如果認為市場需要
transcript.whisperx[456].start 25334.56
transcript.whisperx[456].end 25336.881
transcript.whisperx[456].text 臨時提案委員:完整會議臨時提案委員.完整會議臨時提案委員.完整會議
transcript.whisperx[457].start 25353.946
transcript.whisperx[457].end 25360.631
transcript.whisperx[457].text 所以,就是說,你認為未來20中科的用水用電是可以開放的,是不是?要看是什麼樣的廠商,多少廠商要來,他能夠提供多少。
transcript.whisperx[458].start 25383.772
transcript.whisperx[458].end 25410.824
transcript.whisperx[458].text 我們不夠用什麼方式來解決所以你認為二零中科的這個用水用電是可以開放的是不是我現在不敢這麼認為我看實際的需要有多少你剛才就說可以阿實際的需要我不知道你剛才就說可以阿怎麼現在又說不行實際有多少廠商要來他會用電用水用多少你為什麼會剛才就說可以阿只要提出申請你就大力協助嘛就可以嘛是不是只要提出申請你就大力協助嗎
transcript.whisperx[459].start 25412.005
transcript.whisperx[459].end 25415.867
transcript.whisperx[459].text 我希望我希望在你下台前我們可以看到你大力的協助我們彰化縣用水用電以及我們交通建設好不好
transcript.whisperx[460].start 25433.618
transcript.whisperx[460].end 25458.171
transcript.whisperx[460].text 你剛剛第一個條件我很不能跟你講時間我當然知道我就是希望啊在你下台前我們可以在彰化的交通建設在我們的用水用電都可以獲得行政院的協助啊好不好你快點讓我下台我就快點讓你承諾你的所以你是希望下台的是不是如果能夠讓政局穩定的話好謝謝謝謝院長好謝謝謝委員
transcript.whisperx[461].start 25464.236
transcript.whisperx[461].end 25475.687
transcript.whisperx[461].text 謝謝卓院長。 報告院會現在在一場二樓旁聽席的是臺北市立大學城市發展學系的同學。 我們在此歡迎你們來立法院參訪。
transcript.whisperx[462].start 25480.26
transcript.whisperx[462].end 25494.244
transcript.whisperx[462].text 發言會賴會員委員陳冠廷委員之質詢均以書面提出請行政院書面答覆並列入紀錄刊登空報下一位我們請鄭振賢委員質詢主席好我想請一下卓榮泰院長卓院長請備詢
transcript.whisperx[463].start 25516.488
transcript.whisperx[463].end 25535.8
transcript.whisperx[463].text 院長好,NCC組織法其實在7月31日的時候總統府已經公佈了,明後來的時候其實還是用代理主委的方式去做這個事情,你覺得這個決策有沒有玩法弄權的嫌疑?
transcript.whisperx[464].start 25536.84
transcript.whisperx[464].end 25558.776
transcript.whisperx[464].text 跟委員報告,我這個完全是一個必要的權宜措施,否則的話NCC在那個之後會變成無法執行它的政策跟業務,那這樣對國家的影響,對人民的影響會很大。 院長,因為我在想說,這個代理局這事情的時候,因為我知道說你們用的是NCC組織法的第16條,那某個部分它確實是有一些
transcript.whisperx[465].start 25561.018
transcript.whisperx[465].end 25585.569
transcript.whisperx[465].text 可以解釋的空間可是我們也覺得這個代理主委這個確實有爭議因為我們確實也那個修正了這個法律可是我現在要講的是說就是溫伯中之前在暫代NCC主委的時候惹議那行政院這邊的說法是說依法辦理那麼NCC的前任委員林立雲跟王維京他們發文痛批NCC內部腐化
transcript.whisperx[466].start 25587.264
transcript.whisperx[466].end 25608.644
transcript.whisperx[466].text 如為首長制,就溫伯中在10月7號的時候,受訪跳出來說他是依法行政,絕無不法。 院長你怎麼看這事情?從機關內部出來的人,對機關的批評,我想NCC包括代理主委跟所有的NCC同仁,甚至包括行政院都應該非常重視,如果屬實,
transcript.whisperx[467].start 25610.993
transcript.whisperx[467].end 25630.907
transcript.whisperx[467].text 我聽到NCC在講依法行政的時候喊得這麼大聲我真的覺得非常非常的諷刺因為我覺得NCC根本就是打著依法行政的旗幹著違法亂政的事情我為什麼這麼講勒?
transcript.whisperx[468].start 25634.602
transcript.whisperx[468].end 25663.891
transcript.whisperx[468].text 院長,你知道中天案在高等行政法院的時候判決下來,你有沒有看過這個證文、判決書?有。你看過判決書對不對?沒有很詳細,但我知道整個狀況。所以他的情況很清楚地講到判決處主文裡面就很清楚地講到說原處分撤銷。院長你知道這件事情嘛對不對?是。你知道理由嗎?
transcript.whisperx[469].start 25667.381
transcript.whisperx[469].end 25686.497
transcript.whisperx[469].text 這個判決來來去去有的是針對程序上的,很少針對實質內容的,我知道這個狀況是如此。所以判決處文很清楚地講到原處分撤銷,那個莫某宗你已經進到院會裡面來,那個我不擋你上台可是你不要講話,我不擋你上台你不要講話,來。
transcript.whisperx[470].start 25688.098
transcript.whisperx[470].end 25716.076
transcript.whisperx[470].text 那個在中天換照案的那個訴訟案判決書裡面第21頁 院長他很清楚的直接講到說違反換照審查辦法第11條第三項後段就未來6年營運計畫各審查項目之評分基準規定 形同改變執照之合法標準 容以造成該五個審查項目之決策事實基礎錯誤
transcript.whisperx[471].start 25718.021
transcript.whisperx[471].end 25728.947
transcript.whisperx[471].text 而資訊不完全,足以影響所評,為審議不予換照之結論,無從推算回復,原處分自與法有違。﹖
transcript.whisperx[472].start 25735.37
transcript.whisperx[472].end 25753.918
transcript.whisperx[472].text 原處分與法有違,很清楚喔,所以為什麼我剛剛聽到翁柏宗在講說他完全依法行政的時候,我真的覺得超級諷刺,現在高等行政法院完全透過他的判決書狠狠地打臉NCC,
transcript.whisperx[473].start 25756.175
transcript.whisperx[473].end 25769.668
transcript.whisperx[473].text 在這樣的一個情況之下的時候,院長你有什麼看法?我剛剛有請教代理主委,他說他現在NCC基於他的質詢,他已經在上訴當中,既然在上訴,那這個在法院當中還要做最後的這個決定齁。
transcript.whisperx[474].start 25774.511
transcript.whisperx[474].end 25795.838
transcript.whisperx[474].text 我們絕對尊重這些法律的程序可是在高等行政法院當中的判決書上寫得非常非常的清楚院長我直接跟你講一下他很清楚講到了NCC怎麼樣子違法亂政109年11月的時候中天換照的時候
transcript.whisperx[475].start 25797.659
transcript.whisperx[475].end 25816.168
transcript.whisperx[475].text 根據衛星廣播電視事業及境外衛星廣播電視事業深色審查辦法,它在107年就已經更改了修正的所有的評分標準。NCC在109年的時候還是用105年的標準來做審查。
transcript.whisperx[476].start 25820.407
transcript.whisperx[476].end 25841.198
transcript.whisperx[476].text 院長這麼簡單的一個邏輯的狀態我嚴重的懷疑NCC是蓄意是公然違法我跟委員提醒或許法律上大家還是可以再進一步去研究 申請設立的深色的審查跟所謂換照是兩套不同的準則標準來進行的那不能把它混為一談
transcript.whisperx[477].start 25843.059
transcript.whisperx[477].end 25868.666
transcript.whisperx[477].text 換照當中的時候他一樣用了一個這樣子的一個審查的一個標準是判決書裡面針對院長提的這部分也很清楚提到了行政規則他沒有辦法去逾越母法的部分 院長你剛剛我讓汪博東站在你旁邊就是覺得你對這事情可能不一定了解的這麼透徹所以我讓他站在你旁邊可是我不想要讓他透過麥克風來講話因為我覺得他的身份是有爭議的所以
transcript.whisperx[478].start 25871.465
transcript.whisperx[478].end 25885.516
transcript.whisperx[478].text 院長我希望你在針對依法行政這件事情的時候能夠好好的去考量因為NCC很明顯的狀態他打著維持媒體自由的旗幹著
transcript.whisperx[479].start 25887.037
transcript.whisperx[479].end 25901.262
transcript.whisperx[479].text 破壞新聞自由的事情那在這個狀態的時候呢我覺得這個禮拜二的時候我們提到了預算的相關問題提到了原民的一個禁法補償的部分
transcript.whisperx[480].start 25902.722
transcript.whisperx[480].end 25921.427
transcript.whisperx[480].text 針對這個部分我這邊簡單講一下因為它還有更改的機會我們希望因為這兩個禮拜協商沒有成果和解飯也沒有成果下個禮拜還要繼續那我本來期待院長其實是可以說理論法的人那我們希望
transcript.whisperx[481].start 25922.287
transcript.whisperx[481].end 25937.897
transcript.whisperx[481].text 在這個事情當中的時候 院長你要堅持住不要沉淪變成像NCC一樣打著依法行政的旗 幹著破壞違法行政的事情我們希望院長你堅持住這個部分好不好
transcript.whisperx[482].start 25938.177
transcript.whisperx[482].end 25959.452
transcript.whisperx[482].text 我會很堅持 憲法70條憲法的理論還有預算法91條裡面的規定憲法70條這個部分是預算審進來送進立法院的時候我們在審的部分我們沒有辦法去增加它可是我們立法了之後你這邊本來就有依法編列預算的一個責任我在這邊還有一個點就是你對外是說
transcript.whisperx[483].start 25960.393
transcript.whisperx[483].end 25961.414
transcript.whisperx[483].text 就是依照預算法91條
transcript.whisperx[484].start 25977.169
transcript.whisperx[484].end 25996.994
transcript.whisperx[484].text 立法院在審視預算的時候,他要增加稅出的時候,要徵詢行政院的意見。我們現在針對立法的結果出來狀態的時候,你都完全不尊重的時候,我們希望,院長你這邊一定要真正的依法行政,不要沉淪變成像ACC。好,因為我這邊還有第二個問題我要問,就是
transcript.whisperx[485].start 26001.517
transcript.whisperx[485].end 26020.295
transcript.whisperx[485].text 禮拜二的時候我講到桃樹苗大細股計畫那當時也提到了一個部分就是有關於才化法的一個修正那我提到了一個部分就是科學園區大細股計畫這邊的時候他納進去了大新竹輕軌這個計畫院長你知道吧
transcript.whisperx[486].start 26023.767
transcript.whisperx[486].end 26039.622
transcript.whisperx[486].text 那知道這個計畫當中的時候我當時提到了一件事情因為整個財化法的發展過程當中新竹市創稅全國第三可是得到的配回率全國最低
transcript.whisperx[487].start 26041.229
transcript.whisperx[487].end 26055.789
transcript.whisperx[487].text 新竹市平均每一個人貢獻的中央的創稅是65萬,全國最高,比台北市、新北市都高,可是我們配回率是全國最低。你當時提到了一件事情,就說你會用
transcript.whisperx[488].start 26056.71
transcript.whisperx[488].end 26079.203
transcript.whisperx[488].text 一般性的補助給新竹市更多,對不對,我記得你當時是這樣回應。不是我回應,是行政院一直這樣在處理這些問題。可是我們看到的狀態並沒有,新竹市得到了一般性補助的時候,全國倒數第三,只比金門、馬祖高,比澎湖還要低。那這個部分呢,我為什麼特別提到這個情況。地方要提出需求,中央才能夠予以補助。
transcript.whisperx[489].start 26080.504
transcript.whisperx[489].end 26107.567
transcript.whisperx[489].text 院長,所以我特別提到這個部分,我希望院長能夠去落實好久沒有大細股計畫裡面對於大新竹輕軌的一個主張。這邊有一個狀態,就是按地方上面他們去縮時攝影出來的結果的時候,新竹市去科學園區工作,大概平均每個人上下班要花兩個小時以上的車程。
transcript.whisperx[490].start 26109.352
transcript.whisperx[490].end 26137.899
transcript.whisperx[490].text 那我們認為如果新竹市有比較好的交通運輸系統的時候不只是對在園區工作的工程師對大新竹的人來說是好事而且對於竹科產值可以再進一步的向上提升因為每一個工程師幾乎都發他們每天上班時間的四分之一在交通上面所以本席也利用今天這個機會的時候希望院長能夠
transcript.whisperx[491].start 26139.747
transcript.whisperx[491].end 26166.763
transcript.whisperx[491].text 出手來協助大輕軌新竹大輕軌的一個落實那我想請教一下院長你知道現在新竹大輕軌最大的問題在哪裡嗎?新竹縣市之間還是要談出一個可行的方法我們才可以進行有效的可行性的研究跟評估那縣政府市政府應該已經在辦理這個可行可行報告可言報告的一個招標過程我所了解如此
transcript.whisperx[492].start 26167.503
transcript.whisperx[492].end 26168.904
transcript.whisperx[492].text 報告委員﹚目前正在
transcript.whisperx[493].start 26194.525
transcript.whisperx[493].end 26222.856
transcript.whisperx[493].text 新竹市政府在做可行性研究當中,那我們要等到明年的第一季,看他可不可以把可行性研究做完,報來交通部,那交通部該協助的部分都會協助。好,理解齁,院長我跟你提一下狀態齁,因為,大概新竹輕軌碰到兩個很大的問題,一個是沒有錢,所以我禮拜二特別提到財化法的問題,因為地方根本沒有財力去支應這樣子的一個重大建設,
transcript.whisperx[494].start 26224.198
transcript.whisperx[494].end 26253.106
transcript.whisperx[494].text 第二個部分就是溝通的問題現在部長提到新竹市出來整合這樣子的一個可行性研究計畫我必須老實講喔院長你覺得一個跨縣市的一個可行性研究計畫大概需要多少錢看工程的難易度你直覺你覺得以新竹市你對新竹縣市一定熟嘛你對新竹縣市熟你覺得一個這樣的一個大輕軌的一個可行性研究你覺得大概需要多少錢
transcript.whisperx[495].start 26254.557
transcript.whisperx[495].end 26278.219
transcript.whisperx[495].text 數百萬要要吧?數百萬喔?數百萬喔?做不起來,院長你真的不知道米價欸。9月份的時候新竹市政府用2200萬去做一個招標,流標,沒有人要來。因為它牽涉到的範圍非常的大,然後接下來預計要招標的費用大概要到四、五千萬。
transcript.whisperx[496].start 26279.48
transcript.whisperx[496].end 26305.774
transcript.whisperx[496].text 然後我要特別提到因為新竹市政府的團隊跟新竹縣他們在今年3月初的時候拜會前副院長鄭文燦他找了交通部的鐵道局來希望交通部鐵道局他來整合新竹市縣市的一個網絡那當時新竹市政府說好他來做這樣子的一個配合先來做把這個招標動作把它弄出去可是現場他要求鐵道局補助
transcript.whisperx[497].start 26307.247
transcript.whisperx[497].end 26312.291
transcript.whisperx[497].text 大新竹的輕軌對於解決大新竹地區的交通肯定是非常非常重要的那麼我們希望
transcript.whisperx[498].start 26331.568
transcript.whisperx[498].end 26338.852
transcript.whisperx[498].text 交通部這邊能夠扮演起更積極的角色就像逃機一樣就是機場捷運是交通部這邊來做的就像基隆的捷運一開始起頭的研究評估都是鐵道局這邊做的所以我們希望
transcript.whisperx[499].start 26360.56
transcript.whisperx[499].end 26382.756
transcript.whisperx[499].text 大新竹輕軌的時候也能夠比照辦理因為我們在110年曾經提過一個方案到交通部這邊來可是目前是依照113年3月27號的共識由新竹市政府在做理解 當時提出來狀態就卡到兩件事情因為竹科這個部分地方真的沒辦法去整合
transcript.whisperx[500].start 26383.876
transcript.whisperx[500].end 26407.687
transcript.whisperx[500].text 因為他不只是新竹縣市的問題,他還卡到了新竹科學園區的問題。 所以我們希望院長能夠指示部長這邊,針對大新竹輕軌的時候能夠加把力,讓大新竹輕軌變成桃竹苗大細股計畫很重要的一個配套的一個設施。 如果能夠跨到苗栗區,因為
transcript.whisperx[501].start 26408.487
transcript.whisperx[501].end 26409.368
transcript.whisperx[501].text 好謝謝鄭委員謝謝卓院長下一位我們請黃建斌委員質詢
transcript.whisperx[502].start 26444.1
transcript.whisperx[502].end 26449.423
transcript.whisperx[502].text 謝謝 副院長有請卓院長還有交通部陳部長以及我們工程會的陳主委卓院長、陳部長、陳主委請備詢
transcript.whisperx[503].start 26463.567
transcript.whisperx[503].end 26476.26
transcript.whisperx[503].text 委員好 院長好 院長 院長 本席昨天在經濟委員會有跟我們的那個陳部長討論到關於農業產業的問題 因為時間有限 那沒有辦法好好的討論 所以今天也延續來跟我們卓院長來繼續討論這個部分
transcript.whisperx[504].start 26478.522
transcript.whisperx[504].end 26504.9
transcript.whisperx[504].text 那臺灣的農產品,現在有一個很嚴重的問題就是外銷,他們很簡單,他們不懂政治,所以只要把東西賣出去就好,那既然現在我們兩岸有出現一些問題,那在銷售上有一些小狀況,我想很多人就提到說,既然沒賣出去,我們來做加工嘛,我們來做加工,那我本時也看到現在市面上出現像鳳梨啤酒這樣的產品,我覺得讓產業來升級,這個也是一個不錯的方法,
transcript.whisperx[505].start 26506.14
transcript.whisperx[505].end 26534.188
transcript.whisperx[505].text 那另外本土業者就跟本席反映到說其實現在他們壓力很大因為中國大陸進口啤酒到台灣來我想我們在這邊不是要鼓勵說要喝酒啦當然開車不喝酒這個我們一定要倡導不要酒後駕車不過每個國家都有自己的酒類文化像日本的Sake蘇格蘭的威士忌還有德國的啤酒我覺得台灣應該也可以結合我們豐富的農產品來推廣自己台灣的品牌的酒類嘛對不對
transcript.whisperx[506].start 26535.208
transcript.whisperx[506].end 26535.328
transcript.whisperx[506].text 院長 院長
transcript.whisperx[507].start 26557.314
transcript.whisperx[507].end 26581.213
transcript.whisperx[507].text 我們的釀酒現在民間釀酒也相當的蓬勃而且有好幾家的酒廠在世界的評比上也獲得了不錯的成績那如果正照委員所說的幫我們的農產品能夠結合下去那是我們的特色如果能夠往這個方向是好的不過昨天到了這個創新技術的博覽會鳳梨可以抽成纖維做成衣服做成帽子
transcript.whisperx[508].start 26582.054
transcript.whisperx[508].end 26610.723
transcript.whisperx[508].text 恭喜是幸福啦對吧?對好,謝謝院長很正面的回應那我們回到今天我們的主題那,院長今天是交通組的質詢那有些問題本市在星期二的時候已經跟院長您討論過今天會繼續來討論後續希望從您的口中聽到好消息那我們今天工程會的陳主委也有在現場本市也希望工程會可以盡速的成立這次台東因為山脫颱風造成的這個強災的工程
transcript.whisperx[509].start 26612.003
transcript.whisperx[509].end 26630.412
transcript.whisperx[509].text 讓臺東可以早日復原。 主委,我們在10月11日,我帶著交通部次長,還有原民會副主委,還有工程會同仁,前往臺東的災區勘災。 我相信同仁應該有跟你回報這些情況。那這次的災情對臺東傷害非常大。 我們初估的預算重建大概要花超過5億。
transcript.whisperx[510].start 26632.675
transcript.whisperx[510].end 26654.195
transcript.whisperx[510].text 臺東縣作為一個財政五級的窮縣市,相關的災後預備的經費本來就不多,我們急需中央的奧援。本席有兩點請院長還有主委可以來允諾。第一,就是相關公共工程重建的所需資源,中央一定要來協助。第一,災後搶修搶險的工程要省力要快,我們希望工程會能夠在11月點,
transcript.whisperx[511].start 26655.536
transcript.whisperx[511].end 26673.834
transcript.whisperx[511].text 十一月底以前完成相關的審計加速我們災區的重建。 院長、主委,台東的災民是基台中央的關注。 中央最有效的關注是資源的預注。 我相信資源只要到位,臺東的災區能夠早日重建就是對臺東最好的關心。
transcript.whisperx[512].start 26677.186
transcript.whisperx[512].end 26702.378
transcript.whisperx[512].text 報告委員,那麼歷次颱風的災損,那麼工程會都會發函給各縣市政府,那麼針對公共設施的損害,那麼強災強險的部分,各縣市政府如果災損金不夠用,那麼他可以整個鄉鎮公所報起來說報行政院,行政院公共工程委員會協調各部會有的必要去現場
transcript.whisperx[513].start 26703.439
transcript.whisperx[513].end 26706.061
transcript.whisperx[513].text 三、四、五、六、七、八、八、九、十、九、十、九、十、九、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十
transcript.whisperx[514].start 26720.708
transcript.whisperx[514].end 26721.748
transcript.whisperx[514].text 阿對台東印象是什麼?
transcript.whisperx[515].start 26721.748
transcript.whisperx[515].end 26721.888
transcript.whisperx[515].text 非常好
transcript.whisperx[516].start 26748.496
transcript.whisperx[516].end 26750.362
transcript.whisperx[516].text 三位有沒有體驗過台東的慢經濟?
transcript.whisperx[517].start 26757.407
transcript.whisperx[517].end 26785.243
transcript.whisperx[517].text 這是一個非常適合在那邊享受生命的地方如果院長、部長、諸位你們沒有去過的話本席建議你們好好的體驗因為這是屬於臺東的多元民主的這個慢經濟那臺東的觀光已經不是早期人家說的好山好水好無聊我們現在走的是叫做在地的體驗那我們會透過一些大地藝術結像是透過藝術家結合在地人文地景的這個結合讓旅客們能夠感受到當地特別的
transcript.whisperx[518].start 26785.663
transcript.whisperx[518].end 26810.971
transcript.whisperx[518].text 文化,這個就是當年賴總統推動的這個地方創生,那讓我們來台東的UK,我們感受到台東特殊的文化,我想讓台東要體驗這樣的觀光體驗,最重要的是什麼,交通要通嘛,你交通要通嘛,但是從零四零三地震以來,我們台東花東的交通命脈就打結,那迎來觀光客變得非常困難,我們交通三不五時就回去,
transcript.whisperx[519].start 26812.605
transcript.whisperx[519].end 26815.766
transcript.whisperx[519].text 本期這邊有幾點訴求來替我們台東的鄉親要跟院長、部長、主委來請命
transcript.whisperx[520].start 26843.342
transcript.whisperx[520].end 26868.849
transcript.whisperx[520].text 零四零三地震之後我們北圍鐵路跟蘇花公路只要遇到大雨就會發生土石流交通中斷那我想地震之後地貿都有了很大的改變我講政府應該要有新的因應措施嘛那就本期我拿到的這些資料這些地震相關的資料我們台鐵有委託一個那個台鐵委託這個顧問公司這個核定的一個叫做什麼
transcript.whisperx[521].start 26869.549
transcript.whisperx[521].end 26893.1
transcript.whisperx[521].text 鐵路邊坡養護手冊完成邊坡分級及精進分級。部長你知道這個計畫嗎?這個應該是邊坡安全的鞏固。對,對,對,很長的名字,很長的。部長知道這個計畫嗎?欸,知道。部長你知道這是110年的資料嗎?已經,這是111年的,經過大地震之後,我們交通部有沒有重新來做評估?
transcript.whisperx[522].start 26894.397
transcript.whisperx[522].end 26923.005
transcript.whisperx[522].text 如果沒有的話本席要趕快整個編撥的告警系統我們也有重新的檢討而且建置新的整個告警系統這個要趕快重新再評估整個第一次第一報還有整個安全的調查本席這邊也要強調我們政府現在要趕快規劃我們怎麼樣改善我們北回、鐵路還有蘇花公路像是你是不是要改道、改線或者叫新建民隧道甚至我們蘇花改要趕快的來加速進行除此之外本席也要
transcript.whisperx[523].start 26923.854
transcript.whisperx[523].end 26931.703
transcript.whisperx[523].text 要求我們教安部在災害發生之前要趕快做好預防性的一些措施像是你的接駁運輸規劃
transcript.whisperx[524].start 26934.332
transcript.whisperx[524].end 26963.589
transcript.whisperx[524].text 部長氣象局是在林管轄底下嘛你可以第一時間掌握第一手的資料你也可以依照氣象局給你的資訊來針對幾個容易癱瘓的路段做預防性的措施做疏散嘛報告委員這一次在颱風之前的兩天我們就已經開始開會在討論這件事所以其實該做的準備都有做準備那當然有些地方有癱瘓那所幸沒有造成什麼傷亡所以這個部分是我們有盡量在防治了啦
transcript.whisperx[525].start 26963.677
transcript.whisperx[525].end 26964.858
transcript.whisperx[525].text 有時候颱風來的時候,空運也會停,海運也會停。
transcript.whisperx[526].start 26986.477
transcript.whisperx[526].end 26990.339
transcript.whisperx[526].text 院長,這個部分本是要請院長督促江部要改進。我們可以以後發生的事情,我們是怎麼行政?我想這個民眾會很有感啊。 院長你是認同這件事情?
transcript.whisperx[527].start 27014.202
transcript.whisperx[527].end 27035.922
transcript.whisperx[527].text 對,當然這個很多的風災,如果我們這個預警預告的系統能夠很準確的話,事前該做的事情其實都是暗部就行。我們可以先預防嗎?我們可能會落下,我們車上準備好嗎?我們可以先做這個準備,是不是變化先好?這次颱風來的時候就已經在啟動整個海空的這個備援系統。這次南文縣也同樣發生一樣的情況。
transcript.whisperx[528].start 27040.188
transcript.whisperx[528].end 27040.868
transcript.whisperx[528].text 臺北、臺東單程車票多少?火車票?
transcript.whisperx[529].start 27059.879
transcript.whisperx[529].end 27070.627
transcript.whisperx[529].text 一旦蘇花北匯中斷,我們先不要講飛機,民眾從台鐵搭火車到高雄,再搭高鐵到台北的費用是多少?1900元,將近兩倍。
transcript.whisperx[530].start 27076.127
transcript.whisperx[530].end 27101.219
transcript.whisperx[530].text 本市要強調從0403地震之後只要一道大雨,蘇花北回中段就會變成常態。那之前我們都有跟交通部來反映,要求趕快來協調。那交通部每次給我的回覆就是說,臺北到花蓮有加強,臺東呢?他說臺東有啦,但是因為那大城市有背城,還有崗位,所以我們不應該請假啦。部長你知道花蓮飛台北市多少錢嗎?
transcript.whisperx[531].start 27102.401
transcript.whisperx[531].end 27116.842
transcript.whisperx[531].text 一千七,你知道台東飛台北是多少錢嗎,飛機票?兩千五,你如果是跟機票寫相,我相信大城市不會是這樣子的數字啦,對不對?我想我們未來政府數據,數據不能看表,要去看
transcript.whisperx[532].start 27118.985
transcript.whisperx[532].end 27123.788
transcript.whisperx[532].text 臺東縣是一個產業比較單一的縣市,我們民眾普遍說都不是這麼高,本市這邊要求,未來因為災害所增加的交通成本,要由中央來負責協助負擔。
transcript.whisperx[533].start 27141.547
transcript.whisperx[533].end 27164.404
transcript.whisperx[533].text 那最後我們在討論臺東交通離島的問題之前我要在這邊公開跟我們部長說聲謝謝回應我在委員會提到要動長臺鐵車票的這個提案那公開表示我們明年春節前臺鐵不會漲票價這部分我要感謝保定也跟你贊許啦齁那我想不過還有一群人他沒有辦法被照顧到就是離島的居民
transcript.whisperx[534].start 27167.355
transcript.whisperx[534].end 27187.37
transcript.whisperx[534].text 委員長這個畫面有沒有很熟悉?我們第一次這事就先講到,四個月前我們質詢的時候提到,地道南嶼的班機因為氣候影響沒有辦法正常起降,我想過了四個月了,我想交通部你應該有一個明確的做法,是不是可以請部長來說明一下,未來要怎麼做?你說機場的部分嗎?飛機沒有辦法正常起降的問題。
transcript.whisperx[535].start 27188.463
transcript.whisperx[535].end 27207.252
transcript.whisperx[535].text 有時候遇到那個大風真的是沒有辦法,但是在工程上如果可以加強的部分我們其實都會來做。民航局目前針對蘭嶼的機場也正在做加強當中。你說你們的方式是,邁進的方式是什麼?你說機場不能飛的時候嗎?飛機不能正常起降的這個問題。
transcript.whisperx[536].start 27209.529
transcript.whisperx[536].end 27211.31
transcript.whisperx[536].text 謝謝部長部長還是對台東的交通的努力我們也是要謝謝
transcript.whisperx[537].start 27238.243
transcript.whisperx[537].end 27259.129
transcript.whisperx[537].text 院長,我們去年台東機場終於跑到完成的整建,允許大型的客機可以起飛,像B738或A32都可以起降。我們今年在8月在台東縣政府努力下,我們也迎來了第一次越南台東的包機直航,而且在10月份會再追加4次的架次。
transcript.whisperx[538].start 27260.356
transcript.whisperx[538].end 27279.528
transcript.whisperx[538].text 那我知道,其實蔡政府實際投資了很多的經費在做我們整個停機坪跟滑行道的這個整建,那但是我想要問的是說,我們工程完成了,那這麼長的時間沒有使用,我們台東機場的軟硬體可不可以跟得上?坦白跟各位報告齁,
transcript.whisperx[539].start 27281.173
transcript.whisperx[539].end 27308.406
transcript.whisperx[539].text 我每次搭飛機的時候都覺得我們的空橋是裝飾品因為從來沒有用過要不是這次包機我不知道我們的空橋還是好的那我想未來我們台東會越來越多的這樣國際觀光客來台東玩那我們要為了要迎接更多的觀光客我們相應的軟硬體要跟得上那相關的設備改善的部份交通部也要來補全院長讓我們一起把台東的觀光做大讓來台東的旅客更多爭取更多的觀光客好不好
transcript.whisperx[540].start 27311.441
transcript.whisperx[540].end 27330.142
transcript.whisperx[540].text 我們一定努力上次我們約好去台東結果因為颱風來我剛剛還在談就近的時間趕快再到台東去也許不一定看到什麼樣的現場但就未來的發展我們有一個共同的印象共同的影像這樣我們來共同的來努力會比較有聚焦
transcript.whisperx[541].start 27330.783
transcript.whisperx[541].end 27345.36
transcript.whisperx[541].text 謝謝院長,院長臺東是一個,臺東是一個德國的小社會,我常常覺得臺灣何其有幸擁有臺東,因為這裡不僅族群多元,風景美麗,物產豐富,而且人民非常的純樸,
transcript.whisperx[542].start 27346.681
transcript.whisperx[542].end 27363.693
transcript.whisperx[542].text 那再次也要拜託政府不要因為臺東的人口較少而忽略它。我們希望能夠公平地對待臺東,讓臺東擁有更完善的交通系統,讓我們可以發揮臺東特有的慢經濟的實力。謝謝部長,謝謝院長,謝謝我們主委,謝謝。謝謝黃委員,謝謝卓院長。法院會休息5分鐘,休息之後繼續進行質詢,現在休息。
transcript.whisperx[543].start 27754.329
transcript.whisperx[543].end 27758.391
transcript.whisperx[543].text 發言會現在繼續開會,請陳委員操明質詢。副院長好,首先有請我們行政院我們的左院長。請左院長備詢。
transcript.whisperx[544].start 27787.376
transcript.whisperx[544].end 27807.35
transcript.whisperx[544].text 陳委員長好,我今天有很多問題要請你來當忙,來改觀苗栗縣幾個重點交通的問題。我今天對你的主題,一定有你稍微看過,苗栗的牡蠣值得中央大力的支持。
transcript.whisperx[545].start 27808.567
transcript.whisperx[545].end 27829.015
transcript.whisperx[545].text 我這個議員說了幾十年,但是中央一直沒有改進,尤其是苗栗縣是財政被管控的一個縣市,它財政屬於第5級。我提這個意思,不跟你說苗栗縣在95年到182年,它一定替中央創稅4,147億元。
transcript.whisperx[546].start 27832.916
transcript.whisperx[546].end 27845.779
transcript.whisperx[546].text 但是我們在中央的補助,一般性的補助款和同仇分配款,隆重提2,022億,這等於苗栗縣上午中央有2,125億。那我舉例了,一樣5級的財政縣市,一定律師會解決。我們的嘉義縣,
transcript.whisperx[547].start 27859.806
transcript.whisperx[547].end 27872.953
transcript.whisperx[547].text 以95年至82年,中央的創稅才963億,但是中央的補助,包括一般同仇婚配款、家農總、一天兩千四百三十億,
transcript.whisperx[548].start 27874.553
transcript.whisperx[548].end 27892.257
transcript.whisperx[548].text 黨議帖中央結一帖一千四百六十七億,阿賓農管,農政把中央竄稅的時候,95年到112年,兩千六百二十七億,但是他跟中央拿了三千五百八十九億,黨議中央給予九百六十七億。
transcript.whisperx[549].start 27895.078
transcript.whisperx[549].end 27919.337
transcript.whisperx[549].text 這個問題在哪裡呢?就是我們的財政收支花分了,統籌分配管,財政越低的時候你創惠,他沒有多分給你,反而幫你扣下來。所以我再強調這個問題,就是希望你的中央可以了解這個問題,不管現在財政都被控管,我們財政非常的困難,非常的絕境。
transcript.whisperx[550].start 27920.634
transcript.whisperx[550].end 27940.902
transcript.whisperx[550].text 這裏有一個觀念,就是我們地方越發表越在創造,我們越搬越少,所以我今天站在這裏,因為我參與你代表的總經理三十名議員,我了解所有地方家的事情。所以一而再、再而三,我都向總統拜託正視這個問題,跟美國的交通建設盡量跟我們協助幫忙。
transcript.whisperx[551].start 27945.564
transcript.whisperx[551].end 27961.072
transcript.whisperx[551].text 所以在這,我今天有提出幾條。 也希望我在30幾年的參政理、民意代表生涯之中,在這個任期內,我能把這幾條改革,我剩下,這樣我對我鄉親就有改善。 因為時間的關係,我就簡單說,但是我要省一分給那議長拜託拜託全力向我們廟的管道幫忙。
transcript.whisperx[552].start 27970.197
transcript.whisperx[552].end 27981.668
transcript.whisperx[552].text 大西湖計畫來,去搞通的聯絡網,把它完成的話,我們會變成非常有希望、非常有五飯店的一個非常重要的一個宣誓地。
transcript.whisperx[553].start 27982.794
transcript.whisperx[553].end 28003.864
transcript.whisperx[553].text 我第一要說的,我為三者先說,這個鄉鎮才7000多人,前不早撐後不早頓,經過我這幾年一直在地方上把他重要道路去把他開闢。 現在有兩條,就是稀有無稀的合體公共第四期,希望中央給我們全力支持。
transcript.whisperx[554].start 28004.693
transcript.whisperx[554].end 28027.629
transcript.whisperx[554].text 那施政商院長在徐維鄉的時候的幫忙很大,把主要的命脈一直直線的打通。 現在這第四期完成起來,這個給徐維鄉,他聯絡好幾個銅鑼科學園區,跟未來賀龍的科技產業園區,這是盡世界所在,但是交通不方便,廠長說實話。 這點,我們新人的保證行要一定。
transcript.whisperx[555].start 28032.635
transcript.whisperx[555].end 28032.815
transcript.whisperx[555].text 臨時提案委員.
transcript.whisperx[556].start 28047.677
transcript.whisperx[556].end 28072.138
transcript.whisperx[556].text 藍絲、白絲只擔心到一邊的行政院,為南部現在要代替的行政院,但是為北部要進來的事務有困難,所以我現在是白絲藍絲,這點大概是規劃,從規劃好一定解散起來鄉親幫忙錢,這個才是做公德的事情,這樣好嗎?這樣你看到沒有?
transcript.whisperx[557].start 28073.519
transcript.whisperx[557].end 28091.684
transcript.whisperx[557].text 報告委員,這個南出跟北入這兩個之間,現在還有個別不同的問題,尤其是北邊的部分,它是山坡保育地跟生態調查困難比較多,南邊現在開始有一些進行研究,但是也有一些地形上的限制。 我有跟第三名高公子去,他說這個計畫可以,這是我們親自會談的,我們了解地方,安裝進行。
transcript.whisperx[558].start 28097.146
transcript.whisperx[558].end 28099.949
transcript.whisperx[558].text 這是苗栗縣的民主勝地,在這裡你們的票量贏了很多,是通宵產業生命之路。
transcript.whisperx[559].start 28119.619
transcript.whisperx[559].end 28144.502
transcript.whisperx[559].text 阿通宵鎮現在慢慢的沒落,我就要趴邊,阿顧中間的票都贏1點而已。 雖然心有未甘,但是我還是全力以赴把地方建設出來。 就是現在苗栗縣政府跟你們已經規劃費落了,就是銅鑼科學院要趴一條下來跟通宵,才能幫助地方產業的發展。 你大家看這個內容,我希望,
transcript.whisperx[560].start 28145.143
transcript.whisperx[560].end 28172.551
transcript.whisperx[560].text 一條一條是很重要,而且這地方真的很重要,你院長下來保證下來,你來看,我這個都是很有前瞻的,我不會去拿奪樓來做認證的。我所有建議都是地方上實際需要,別人覺得很困難,我都把它承擔起來,把它推動。再來,這個萬利部長,你在台中你也知道,
transcript.whisperx[561].start 28177.62
transcript.whisperx[561].end 28189.803
transcript.whisperx[561].text 這個做了臺61線溪濱完異的交流道,這個如果願意交流道下來,如果不小心通過的時候,還要考慮30分鐘才能得到完異,這個是你們中證。
transcript.whisperx[562].start 28194.922
transcript.whisperx[562].end 28204.811
transcript.whisperx[562].text 議長這條要完成了,你們那邊的私利很穩固,我打了很久都打得很辛苦,但是怎麼困難我都要做,這樣保證你不會用手手的啦,議長。
transcript.whisperx[563].start 28206.633
transcript.whisperx[563].end 28230.375
transcript.whisperx[563].text 你還要跟我答應,這跟我們免配額款,我們的財政很困難。希望這邊說盡量免配額款,還是盡量調低配額款,這事情我們都要做。可行性研究有送過來,我們目前正在研究。你應該稍稍知道這個。我知道,他們目前有送過來,我們正在研究。你稍稍知道,你補充工會到我們,一定你交代就會全部動員,好不好?
transcript.whisperx[564].start 28231.997
transcript.whisperx[564].end 28237.304
transcript.whisperx[564].text 這條框的迷你就全力完成,大概你們再修改一下就完成。
transcript.whisperx[565].start 28244.319
transcript.whisperx[565].end 28272.474
transcript.whisperx[565].text 你每一個到最後那一句都是可以同意免除地方配合款,阿剩下的不知道多少?有一點免啦,有一點減啦,我們是很怕病,我們是玩弄的。真的,你不用這樣想法,我這個財政訴訟,為什麼我開始要講這個,就是要你了解情形,不然我站在這裡拜託你,我也覺得很民主。我不是站在這裡,我是覺得有道理我才會跟你講,沒有道理我不亂開口。
transcript.whisperx[566].start 28274.776
transcript.whisperx[566].end 28286.583
transcript.whisperx[566].text 你稍微幫我講一下嘛,譬如要20%你說10%我們就很心滿意足,我們就感恩戴德啦,這樣你不會撐的,不可以這樣,你們在補助一些鄉鎮、縣市,你們都這樣擠得大大筆就落了。
transcript.whisperx[567].start 28294.568
transcript.whisperx[567].end 28306.038
transcript.whisperx[567].text 那個財政的準備就是在準備這個狀況,我一定衡量中央的能力,在能力許可之下,委員優先順序,我們來考慮。好,我希望在我訓練這幾條人改觀,再來先到議事連線,第一期,第二期,
transcript.whisperx[568].start 28315.209
transcript.whisperx[568].end 28324.341
transcript.whisperx[568].text 第二期我已經完成了,第一期的酒地現種20噸而已,都要大台車、拖拉車、貨櫃車都要農路去做,要考慮很久。第一期我們有補助3.07億你跟我們議長有關,這條要改觀
transcript.whisperx[569].start 28333.713
transcript.whisperx[569].end 28346.368
transcript.whisperx[569].text 委員在說的是二期,二期我們在等地方來送可行性評估的補助申請,他們來我們幫忙。我先講,他們現在在做結尾上過了,你們幫我支持,當然有些在進行了,以前已經做了,我就不說了,我只是感謝你們有給我們地方做事情。
transcript.whisperx[570].start 28354.218
transcript.whisperx[570].end 28380.419
transcript.whisperx[570].text 臺七十二線就是西濱快速道路,它交交案已經核定了,現在積極進行,因為在這五千年道大溪谷之外苗栗三個地點都跟這條路有息息相關,希望一定幫助一下,保證年輕人幫助一下,如期如止完成,好不好?這當中一百八十幾個,可能你們要追加了,要一點資質,這要照顧預算,再來,
transcript.whisperx[571].start 28386.681
transcript.whisperx[571].end 28397.428
transcript.whisperx[571].text 提到自行車 喔 不過一定 齁 您的補充大家都很懊惰 兼備去到那裏 大家就說我全力支持 現在整個補充 四個補充 要我給你列名嗎 經過林佳龍部長
transcript.whisperx[572].start 28404.11
transcript.whisperx[572].end 28415.396
transcript.whisperx[572].text 王國材部長、李孟彥鎮長,現在看我們年輕人沿途的陳彥博,不是陳彥博,經過四個部長,現在就看我們這個人部長,你在這記錄,你應該有參加這個會議。這90人,我不知道一定有。
transcript.whisperx[573].start 28426.042
transcript.whisperx[573].end 28430.844
transcript.whisperx[573].text 臺鐵公司正在修正計劃,10月底之前會送來交通部,他們的價位如果送來,我們的速度會...
transcript.whisperx[574].start 28455.616
transcript.whisperx[574].end 28456.637
transcript.whisperx[574].text 他10月底會把計畫送來交通局。
transcript.whisperx[575].start 28487.363
transcript.whisperx[575].end 28509.569
transcript.whisperx[575].text 高教化我剛剛好像講錯了那個72線的話72線就是快速道路跟我們連接西濱快速的高教化跟國道山在轉向不夠預定兩條的
transcript.whisperx[576].start 28514.293
transcript.whisperx[576].end 28528.105
transcript.whisperx[576].text 國道1跟國道3沒有連結入網,只有苗栗縣。 如果這個台72線你們已經合訂了,會公告了,說準備要來啟動。 現在看起來還有一些問題,這條件重要,聯絡道路。 聯絡著...
transcript.whisperx[577].start 28537.554
transcript.whisperx[577].end 28547.282
transcript.whisperx[577].text 他接國道1號跟國道3號還有一些問題啦,那個問題就是說距離上一個或下一個交流道太近啦,我們來超過2公里才可以講,但是他都差不多1.2到1.5公里而已,距離有比較近一點嘛,這個部分我們繼續來討論看要怎麼克服啦好不好?
transcript.whisperx[578].start 28567.683
transcript.whisperx[578].end 28568.303
transcript.whisperx[578].text 十三縣銅鑼及三越河
transcript.whisperx[579].start 28596.621
transcript.whisperx[579].end 28616.798
transcript.whisperx[579].text 那個火車站的一個拓寬的工程,我們現在轉向的台13線都四線道,只有這兩個地方還是兩線道,這有發生車禍都幾個變了,今天來公路那個交通部都說好,我們前例要改善,我等到幾個頭門。
transcript.whisperx[580].start 28618.459
transcript.whisperx[580].end 28647.394
transcript.whisperx[580].text 那個保證你這裡給我完成,我這個白頭髮就會變成黑頭髮,這裡都給我們改變,這樣好嗎?我是講真的齁,這個都很實際的問題,然後時間快要到了,你把他打下來齁,這個台西縣縣里漁港的服務區這點已經會進行了差不多,好像公路總局有一點意見,就給我們改選再來。
transcript.whisperx[581].start 28649.837
transcript.whisperx[581].end 28678.337
transcript.whisperx[581].text 阿那個若日大道,那個很漂亮,你來照相的時候,這邊要擴大一個服務區,這地方是我們島小港,很漂亮,很漂亮的地方。這在北三端貢天宮的,會有那個大橋,在那個附近而已喔,好嗎?再來,好玩腳,這有地進步了,還有一些要臨島小港,一些路線要打通。阿我對這要偶然誠懇的拜託,
transcript.whisperx[582].start 28679.653
transcript.whisperx[582].end 28689.139
transcript.whisperx[582].text 我們的卓院長跟陳部長跟我們加油一下,開始call in啦。 談到結晶,阿沒本就晶,再恆久,再用晶都讓你們關注。好,謝謝。 謝謝陳委員。 謝謝卓院長。 報告院會。
transcript.whisperx[583].start 28708.115
transcript.whisperx[583].end 28719.935
transcript.whisperx[583].text 現在在議場二樓旁聽席的是臺北市大同高中的同學我們在此歡迎他們到立法院參訪接下來請吳啟明委員質詢
transcript.whisperx[584].start 28750.217
transcript.whisperx[584].end 28758.524
transcript.whisperx[584].text 主席,議會我們的貴賓,請我們左院長以及交通部部長。 左院長還有交通部部長備詢。委員好。
transcript.whisperx[585].start 28770.15
transcript.whisperx[585].end 28795.722
transcript.whisperx[585].text 委員長好、副長好、委員長辛苦了。 我們的新的執政團隊來到第二個會期了。 那台灣各項的經濟指標也都有突破性的表現。 今年的IMD的競爭力也排名全球第八。 我們也超越了美國、日本、韓國、中國、台灣各項的公共建設也逐漸的完成。 本席在這邊也給予肯定。
transcript.whisperx[586].start 28796.863
transcript.whisperx[586].end 28807.689
transcript.whisperx[586].text 但院長臺灣目前面臨一個非常嚴重的問題就是詐騙還有毒品的氾濫首先我們都針對詐騙的問題跟院長來做討論從警政署的數據來看去年的詐騙案件數量37000多件那比前年增加了8000多件
transcript.whisperx[587].start 28818.427
transcript.whisperx[587].end 28837.869
transcript.whisperx[587].text 那投資的詐騙案件增加了5000多件那今天刑事局召開記者會打擊詐騙方面政府破獲的詐騙集團有1000多件那不法所得來到71億那投資詐騙乃是民眾財產損失的第一名那本市認為政府應該
transcript.whisperx[588].start 28839.33
transcript.whisperx[588].end 28839.59
transcript.whisperx[588].text 好,謝謝委員
transcript.whisperx[589].start 28862.961
transcript.whisperx[589].end 28882.446
transcript.whisperx[589].text 談到詐騙,我們感同身受,也謝謝大院通過了打詐的新釋法。在新的這個釋法通過之後,我們還有19個執法必須要通過。我已經要求各相關的部會,緊速地把19個執法,讓它在最短的時間內也能夠如數地通過。
transcript.whisperx[590].start 28883.546
transcript.whisperx[590].end 28903.938
transcript.whisperx[590].text 四個大的詐騙的打詐的法律加上19個執法這部機器才能整個動起來動起來之後我們第一個我們會提高刑責我們可以溯源到打詐的源頭我們可以對平台這些不使廣告的平台要求他落地要求他負責
transcript.whisperx[591].start 28904.997
transcript.whisperx[591].end 28932.279
transcript.whisperx[591].text 我們有更多的力氣我們可以去準備一些科技增防的設備器具來針對這些詐騙集團所以這樣下來之後我認為我們現在開始在所有的執法完備之後我們會有更有力氣來面對這些那這個打詐的數字我們現在每天在打詐的這個儀表板上面都會呈現出來他呈現的是比較多因為我們對於計算統計的方式我們是如實的呈現但實際上
transcript.whisperx[592].start 28933.857
transcript.whisperx[592].end 28957.157
transcript.whisperx[592].text 主觀的感受跟實際上的受害是不一樣的有的他認為我被騙了一千萬事實上他沒有被騙只是有人在騙他但是我們也把他放進去就讓大家知道詐騙、橫行是社會一個事實國際也是如此那現在我們手上有這個法律的利器我們充足人員充足設備一定要在最短的時間內跟詐騙集團再做一次最大的宣戰
transcript.whisperx[593].start 28957.918
transcript.whisperx[593].end 28987.045
transcript.whisperx[593].text 好謝謝謝謝謝謝院長因為詐騙這在國人的心目中大家都是非常厭惡所以這個我們的所有的程序上一定要速度一定要快好謝謝那再來就是針對毒品毒品我看這幾年年齡層的下降很多青少年吸食毒品的狀況那我們針對我們現在要來重視現在新北市就發生了兩起毒架
transcript.whisperx[594].start 28987.945
transcript.whisperx[594].end 28999.77
transcript.whisperx[594].text 尤其三重分級跟土層分級,員工信職都是在晚上執勤勤務時遭到獨駕、惡意開車衝撞不幸信職,令臺灣人感到非常不捨。
transcript.whisperx[595].start 29003.692
transcript.whisperx[595].end 29026.565
transcript.whisperx[595].text 那我們去年在立法院三讀通過刑法明確獨駕認定的標準貫徹對獨駕行為是零容忍的政策但我們現在發現獨駕的問題不單只增加行者就能以賀止有許多不同種類像新興的毒品出現有兩起這兩起的案件都是使用俗稱傷屍煙彈
transcript.whisperx[596].start 29030.154
transcript.whisperx[596].end 29055.903
transcript.whisperx[596].text 以及依托彌子目前這次毒品都列為三級毒品那光是這半年就有三級員警遭受到毒價撞死的案件發生以目前造成社會性的危險性以及成癮性患難的程度將他本席是提議是不是把他提為二級毒品請院長這邊來支持
transcript.whisperx[597].start 29058.346
transcript.whisperx[597].end 29068.178
transcript.whisperx[597].text 我們非常痛心援警因為執行公務因公殉職我們一定給予最好的一些撫恤但是更重要的是針對這些毒品
transcript.whisperx[598].start 29069.307
transcript.whisperx[598].end 29096.718
transcript.whisperx[598].text 從它的製毒、販毒、運毒等等我們做有系列的管控那毒品是必須經過毒品審議委員會來把它分級分類那伊多米子前不久我們把它列為第三級的毒品也是第四級的禁制藥品那現在如果它要做一個更動的話也必須經過審議委員會但是無論如何我們面對這些新興的毒品相當的氾濫什麼咖啡包、彩虹包、彩虹菸等等
transcript.whisperx[599].start 29097.658
transcript.whisperx[599].end 29121.38
transcript.whisperx[599].text 會到青少年造成很大的誘惑所以我們在幾次檢警掉線的整個通力的防堵當中我們都已經把這些新的毒品跟它的這個充斥社會的方式都做了相當大的研議未來我們希望能夠朝這個方向在有法令以及毒品分類快速的進行的情況底下我們希望檢警掉線能夠負起更多的責任
transcript.whisperx[600].start 29123.372
transcript.whisperx[600].end 29140.5
transcript.whisperx[600].text 對,謝謝院長,是希望說能把它提升為二級毒品,這樣不然外面這個毒品,新興的毒品是真的非常地氾濫,這一點都值得我們去探討。 然後再來就是有關於毒品存放的問題,
transcript.whisperx[601].start 29141.687
transcript.whisperx[601].end 29159.316
transcript.whisperx[601].text 我跟院長來討論一下因為本市也是調查及後案毒品處理流程的監督委員的顧問目前了解司法機關查獲的數量逐漸增加就今年5月23新竹市警察局跟破獲種子大麻
transcript.whisperx[602].start 29160.136
transcript.whisperx[602].end 29185.647
transcript.whisperx[602].text 致賭工廠事件查扣大麻4519株, 也是目前偵破有史以來最大的大麻溫室。 因此吊牙籍持續在空間不足的存放, 毒品證物情形發生,光是近年來入庫統計數量逐年增加, 都有賴於司法同仁加強的查緝打擊不法。
transcript.whisperx[603].start 29186.227
transcript.whisperx[603].end 29188.088
transcript.whisperx[603].text 沒錯,調查局已經在今年的年初
transcript.whisperx[604].start 29210.794
transcript.whisperx[604].end 29210.854
transcript.whisperx[604].text 對,就盡量向
transcript.whisperx[605].start 29241.801
transcript.whisperx[605].end 29259.372
transcript.whisperx[605].text 這麽龐大的大碼就直接來做銷毀就不用再入庫那這樣也減輕我們一些同仁他們的辛勞謝謝好那院長你先回座好了我跟部長來討論一下我地方的建設好你先回座好部長針對建築機械
transcript.whisperx[606].start 29266.397
transcript.whisperx[606].end 29282.276
transcript.whisperx[606].text 公懲重機械,因為我們都知道有內政部編類編管範圍,因為臺灣地理環境的原因,因此遇到重大的風災、地震相關的天災,他們都要投入救災的行列,可見他們對國家實質上的貢獻。
transcript.whisperx[607].start 29285.96
transcript.whisperx[607].end 29295.164
transcript.whisperx[607].text 本席在上個會期也說過他們需要一個合法的停放的空間,但本席召開多次的會議,邀請內政部、交通部、經濟部、農業部相關的單位討論。
transcript.whisperx[608].start 29298.75
transcript.whisperx[608].end 29314.462
transcript.whisperx[608].text 發現都找不到任何一個負責的主管機關最後會議有幾個部會他們都是一致的推擠的我們交通部這邊來負責教委四合因為他們有輪子那是不是也拜託院長
transcript.whisperx[609].start 29315.723
transcript.whisperx[609].end 29315.903
transcript.whisperx[609].text 主席
transcript.whisperx[610].start 29332.074
transcript.whisperx[610].end 29336.718
transcript.whisperx[610].text 三、10月18日下午1時50分為處理臨時提案時間。 三、10月18日下午1時50分為處理臨時提案時間。 三、10月18日下午1時50分為處理臨時提案時間。
transcript.whisperx[611].start 29356.38
transcript.whisperx[611].end 29369.708
transcript.whisperx[611].text 他們自己的土地但是土地過去都是沒有一個輔導單位,但是變成他們都是要面臨被開罰,所以這個問題是不是由部長來做說明?
transcript.whisperx[612].start 29371.756
transcript.whisperx[612].end 29395.893
transcript.whisperx[612].text 報告委員 過去一直沒有主管機關那交通部也沒有接下來的原因是雖然他有輪子但是他算是重型機械那比較有相關的是因為他大部分是在做營造的工程所以跟營造業是比較相關的所以過去的這個交通部也沒有把它列為是汽車因為一般的汽車像剛剛委員在說的停車場對我們來講的定義是停放不一定是停車因為他不是車
transcript.whisperx[613].start 29397.193
transcript.whisperx[613].end 29405.098
transcript.whisperx[613].text 雖然說他做營造的比較多這個機械是做營造比較多理論上應該是內政部的營建署可能他們會相對有一些關係那不過停放的問題可能大家就覺得有裝輪子可能跟交通部有關係但沒有關係
transcript.whisperx[614].start 29423.47
transcript.whisperx[614].end 29443.419
transcript.whisperx[614].text 委員有說11月15日我們要來開一個會那我會請交通部的同仁大家先彙整各部會的意見之外就是說相關的因為他們應該有工協會相關的工協會的意見我們也會彙整起來然後11月15日大家來開會再來討論這個未來看要怎麼處理他的停放的問題
transcript.whisperx[615].start 29444.551
transcript.whisperx[615].end 29466.987
transcript.whisperx[615].text 好的好的謝謝謝謝部長還是部長比較有擔當因為這是從以前到現在你看啊任何的風災任何的災害都是需要用到這種機械包含我們現在捷運包含你現在蓋大樓也都是要用得到那用得到他們的停放的位置又有問題
transcript.whisperx[616].start 29468.728
transcript.whisperx[616].end 29492.721
transcript.whisperx[616].text 這是全國性,所以變成他們也是很無奈,所以在去年來我這邊陳情,我也跟他開過兩次協調會,所以我才要拜託部長,是不是能扛起這個我們來召集會議,由交通部來做召集好不好?好,我們就11月15號,我們11月15號來開這個會,好不好?
transcript.whisperx[617].start 29496.263
transcript.whisperx[617].end 29523.514
transcript.whisperx[617].text 好的好謝謝謝謝那再來呢再來是針對我地方的建設針對我們土城、三峽還有大溪龍潭這六五的延伸那六五延伸因為這條六五真的是一個必要性因為你現在從土城的工業區土城工業區現在目前就有300多家他一年的產值有1000多億
transcript.whisperx[618].start 29525.069
transcript.whisperx[618].end 29551.71
transcript.whisperx[618].text 那造成整個交通都動亂土城工業區只有這一條中山路那未來樹林還有山峽這邊的車流量人口暴增那邊又有兩個重劃區有一個大甘林有一個麥子岩還有山峽北大一年人口成長1萬多人那整個交通
transcript.whisperx[619].start 29553.097
transcript.whisperx[619].end 29559.079
transcript.whisperx[619].text 三、10月18日下午1時50分為處理臨時提案時間。 三、10月18日下午1時50分為處理臨時提案時間。 三、10月18日下午1時50分為處理臨時提案時間。 三、10月18日下午1時50分為處理臨時提案時間。
transcript.whisperx[620].start 29579.787
transcript.whisperx[620].end 29601.4
transcript.whisperx[620].text 會列入山峽跟土層為優先路段。 可行性評估113年1月30日上網招標。 4月30日結標6月27日召開會議辦理可行性期出報告。 目前已在8月1日完成。 預計明年114年3月中期出
transcript.whisperx[621].start 29606.042
transcript.whisperx[621].end 29614.515
transcript.whisperx[621].text 其中報告那我是要拜託部長因為這一條的延伸真的是非常的重要也拜託院長
transcript.whisperx[622].start 29616.226
transcript.whisperx[622].end 29618.647
transcript.whisperx[622].text 那是不是由部長來幫忙?因為這一條是非常急迫
transcript.whisperx[623].start 29646.175
transcript.whisperx[623].end 29661.141
transcript.whisperx[623].text 二、三、四、五、六、七、八、七、八、九、十、九、十、九、十、九、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、
transcript.whisperx[624].start 29678.39
transcript.whisperx[624].end 29694.963
transcript.whisperx[624].text 好謝謝吳委員謝謝卓院長委員陳秀寶之質詢以素面提出請行政院素面答覆並列入紀錄刊登公報下一位我們請徐巧欣委員質詢
transcript.whisperx[625].start 29706.467
transcript.whisperx[625].end 29709.83
transcript.whisperx[625].text 謝謝副院長。那我們有請卓院長。卓院長請備詢。主委好。
transcript.whisperx[626].start 29719.727
transcript.whisperx[626].end 29744.494
transcript.whisperx[626].text 院長好,那第一個想要問您,總預算目前因為這個《進法補償條例》已經在立法院三讀通過,那行政院也沒有提出復議,總統也已經宣布了,但在行政院卻沒有編列預算而卡關,目前尚未開始審查。我想問一下院長,憲法當中我們提出復議與否的理由是在什麼情況之下?
transcript.whisperx[627].start 29746.26
transcript.whisperx[627].end 29768.592
transcript.whisperx[627].text 行政院認為有致愛難行的時候。 沒錯,在第三條呢,行政院對立法院決議之法律案,如果認為有致愛難行之處呢,得經總統核可,那以請復議。那所以呢,於心不忍,絕對不是一個送不送復議案的理由。 院長您同意嗎?跟委員報告,您不知道那天在參會上的現場為什麼我講出這樣的話。 那請說說。
transcript.whisperx[628].start 29772.892
transcript.whisperx[628].end 29774.153
transcript.whisperx[628].text 三讀通過的法律要怎麼用其他的方式?當然
transcript.whisperx[629].start 29802.932
transcript.whisperx[629].end 29821.22
transcript.whisperx[629].text 因為第一個我當時認為這個與憲法與法律都有所違背但我們再換個場景如果我當時提復議在大院的部分委員對我的批評又是另外一個那難道你沒有提復議了大家都沒有批評嗎我當時如果提復議一定又是罵得體無完膚
transcript.whisperx[630].start 29821.86
transcript.whisperx[630].end 29834.243
transcript.whisperx[630].text 所以你是怕被罵所以不提復議的?那你剛剛就是這樣說啊,你剛剛說因為會有很多人批評你所以你不提復議,但我剛剛重複問你一遍你又說不是,那是怎麼樣呢?那你覺得現在目前是好的方式嗎?現在你已經開始說又要去釋憲了,請問是這樣嗎?
transcript.whisperx[631].start 29844.406
transcript.whisperx[631].end 29854.576
transcript.whisperx[631].text 我說那是萬不得已的事我還是非常不願意如果我們得不到一個好的解決方法比方我說只要未來不要用這種
transcript.whisperx[632].start 29856.109
transcript.whisperx[632].end 29884.63
transcript.whisperx[632].text 提議或立法的方式只要未來以後以後在您執政以後好那我想問一下最近您講了一個說進法補償並非一毛不編那可以編4萬那請問您所說的這4萬是在哪一個是在法律之下按照預算的編列編4萬嗎還是他是用什麼一個框架之下第一點為什麼說行政院不是一毛不編因為黃國昌委員說我們是一毛不編
transcript.whisperx[633].start 29885.55
transcript.whisperx[633].end 29904.22
transcript.whisperx[633].text 第二,為什麼我說編4萬,因為依照預算法91條,立法院對預算的稅出稅入有所變更的時候,必須徵詢行政院的意見。 當時我就說,如果我們衡量所有的狀況,由3萬調整到4萬,行政院是同意的。
transcript.whisperx[634].start 29904.38
transcript.whisperx[634].end 29925.459
transcript.whisperx[634].text 那我請問一下喔,你這個是在禁法補償條例裡面提升到4萬,是這樣嗎?跟您做個確認。如果當時的協商,當時在法律討論的時候,修法的時候,行政的立場是我們同意提升到4萬。好,那了解了,所以你現在是這麼講嘛。但是呢,問題是喔,我們喔,今天喔,我再問你一個問題,如果是釋憲的話,
transcript.whisperx[635].start 29927.04
transcript.whisperx[635].end 29930.884
transcript.whisperx[635].text 您會徵求徵詢賴總統的意見嗎?
transcript.whisperx[636].start 29930.884
transcript.whisperx[636].end 29936.228
transcript.whisperx[636].text 或者到目前為止您有沒有針對《禁法補償條例》跟賴總統進行過討論?我們在不復議的時候有跟總統報告,因為復議要經過總統同意我才能復議。 所以總統不支持提出復議?
transcript.whisperx[637].start 29947.093
transcript.whisperx[637].end 29947.994
transcript.whisperx[637].text 總統的態度是什麼呢?
transcript.whisperx[638].start 29947.994
transcript.whisperx[638].end 29952.496
transcript.whisperx[638].text 尊重行政院,所以他也認為你不提出復議這件事情是他認為認同的。那接下來如果你再走到所謂的最後一步要釋憲與否的時候,你會再去向總統報告?
transcript.whisperx[639].start 29968.166
transcript.whisperx[639].end 29989.276
transcript.whisperx[639].text 我當然基於政治的倫理是,你會再向總統報告,所以到時候如果你釋憲的話,我是否可以理解為總統也同意您去釋憲?不必這麼理解,這行政院基於行政院的職權、立場,我們總統報告我們的決定。對,那總統如果告訴你說,我不同意你們去釋憲,那你會尊重總統嗎?
transcript.whisperx[640].start 29991.052
transcript.whisperx[640].end 30008.818
transcript.whisperx[640].text 我跟總統會講清楚行政院為什麼決定要提出賦予,但我還是希望我不必做這種報告,我還是希望我們可以... 是嘛,我在跟你討論嘛,我在跟你做各種討論嘛,因為這都有可能發生,因為釋憲這兩個字不排除釋憲是您說的呀,不然我也不會問您這個問題不是嗎?
transcript.whisperx[641].start 30010.518
transcript.whisperx[641].end 30012.12
transcript.whisperx[641].text 事宪這兩個字是憲法賦予,我們各自順利。我說在不得已的情況下,我必須考慮。
transcript.whisperx[642].start 30028.095
transcript.whisperx[642].end 30028.676
transcript.whisperx[642].text 那我會跟他很清楚表明行政院的立場
transcript.whisperx[643].start 30056.545
transcript.whisperx[643].end 30072.3
transcript.whisperx[643].text 如果總統說不的話你會下台嗎?如果總統有其他的意見他會跟我交換意見但是那個結論不是現在我只能跟您報告的沒有他只是跟您做一個意見上的交換所以如果總統反對事件的話您會下台嗎?
transcript.whisperx[644].start 30074.343
transcript.whisperx[644].end 30093.885
transcript.whisperx[644].text 總統反對釋憲的話對就是您說您要釋憲跟總統說他反對總統不必反對釋憲總統叫我下台我就下台了好就你這句話那接下來我們剛剛講到您說4萬元這件事情說可以去編那請問在當時在討論慶法補償條例的時候您有去跟立法委員們溝通嗎
transcript.whisperx[645].start 30095.166
transcript.whisperx[645].end 30097.789
transcript.whisperx[645].text 請問這兩個委員是民進黨黨籍的,那他們人在哪裡,在做什麼?
transcript.whisperx[646].start 30114.127
transcript.whisperx[646].end 30139.185
transcript.whisperx[646].text 對,他們是民進黨黨籍,那他們是代表原住民提出這樣的想法,所以我再重複一次,這件事情不是政黨的立場。來,他們提出的版本是幾萬元?他們提出有提出6萬元。提出6萬元,請問行政院有向他們去做溝通嗎?有。有,然後結果呢?他們就是認為他們應該可以...那你知道整個民進黨有多少的比例的委員有做連署嗎?我知道。多少?
transcript.whisperx[647].start 30140.772
transcript.whisperx[647].end 30144.675
transcript.whisperx[647].text 總共有好像七十幾位同意吧?沒有那麼多啦,七十幾位。 七十幾位!
transcript.whisperx[648].start 30149.478
transcript.whisperx[648].end 30176.898
transcript.whisperx[648].text 你確定70幾位我們立法院113個立委如果70幾個民進黨的立法委員的話不是我說全部沒有我問的是民進黨我說因為這不是黨政黨的立場我說我問我現在只是請問你只要回答我的問題就好請問民進黨有多少的立法委員有連署6萬元的這個法案6萬喔
transcript.whisperx[649].start 30177.813
transcript.whisperx[649].end 30205.175
transcript.whisperx[649].text 我不知道我沒有去數人頭你不知道對不對那我告訴你好不好總共呢有60%有33位的立法委員來我們看一下哪些人33位的立法委員加入了提案的連署佔了民進黨立法委員的六成那我們國民黨最後支持的版本你應該很清楚我們支持的是誰的版本
transcript.whisperx[650].start 30205.862
transcript.whisperx[650].end 30227.74
transcript.whisperx[650].text 是大家討論過6萬的版本是誰的版本提案委員的版本哪一位委員我應該沒記錯是吳立華委員的版本對不是啊是陳寅委員的版本陳寅委員的版本才是6萬高精素美委員的版本不是6萬比6萬少更接近您的目標跟方向
transcript.whisperx[651].start 30228.3
transcript.whisperx[651].end 30246.188
transcript.whisperx[651].text 高金素美委員當時跟我們講的版本是5萬元﹖我相信也有人去跟他溝通﹖所以是5萬元﹖更接近您剛剛講的4萬的目標﹖可是當時我在立法院的現場﹖我看到了什麼呢﹖我看到了既然民進黨提了6萬的版本﹖
transcript.whisperx[652].start 30247.288
transcript.whisperx[652].end 30247.508
transcript.whisperx[652].text 主席
transcript.whisperx[653].start 30265.4
transcript.whisperx[653].end 30290.716
transcript.whisperx[653].text 這就是我們現在覺得非常非常尷尬的地方嘛!那這兩個人是怎麼回事?那他讓所有的人跟著一起去投了他們!欸!我們國民黨的也跟著他們去投!我們不分黨派一起幫助原住民!在五萬跟六萬之間選擇了六萬去支持原住民!結果你現在告訴我說你們可以變成四萬!我們原本支持高精素美容院的版本還比較接近行政院捏!
transcript.whisperx[654].start 30291.776
transcript.whisperx[654].end 30309.054
transcript.whisperx[654].text 這不是搞了一個天大的烏龍嗎 院長 這不是政黨的問題 我沒有說這是政黨的問題 它就是因為不是政黨的問題 所以我們才去支持了民進黨的版本啊 不是政黨的問題就不必一直提多少民進黨的委員的問題
transcript.whisperx[655].start 30309.454
transcript.whisperx[655].end 30329.13
transcript.whisperx[655].text 因為沒有我只是想要告訴你說他就是超越黨派的民進黨很多人支持國民黨也很多人支持然後我們當下看到既然民進黨能夠給予原住民更多的支持我們就來支持跨黨派的版本支持民進黨結果原來你們早就跟這些委員們溝通好了只能4萬不早講啊
transcript.whisperx[656].start 30330.271
transcript.whisperx[656].end 30330.291
transcript.whisperx[656].text 陳部長請備詢
transcript.whisperx[657].start 30352.566
transcript.whisperx[657].end 30373.039
transcript.whisperx[657].text 議題到這邊,因為還有一點時間我問一下部長,我們這次電價調整總體而言會影響到哪一些交通大眾交通工具?只要有用到電都會影響到?都會影響,那有哪一些大眾交通工具?像台鐵的部分,我們會每年增加多少經費?
transcript.whisperx[658].start 30377.657
transcript.whisperx[658].end 30405.153
transcript.whisperx[658].text 我印象中他們給我的數據很像是3億還是2億多?不是,是4.56億,那高鐵呢?我還沒有看到他們的數據高鐵沒有看到數據,部長這樣不行喔,因為李昆澤委員之前在質詢的時候,他powerpoint上面都有,在交通委員會,是3.6億那請問北捷每年會增加多少億?委員,這麼多的數據我沒有辦法全部講這沒有很多,北捷、高鐵、台鐵、桃園、基捷、高捷這沒有很多
transcript.whisperx[659].start 30409.256
transcript.whisperx[659].end 30420.406
transcript.whisperx[659].text 可是最近講了電價這是攸關民生的大事啊而且我剛剛說了先前在李昆澤委員在質詢你的時候他後面大大的powerpoint就已經把這些東西都寫出來了
transcript.whisperx[660].start 30421.187
transcript.whisperx[660].end 30436.276
transcript.whisperx[660].text 所以你應該是看過這些資料的我很確定我還去交通委員會看了所有人對您的質詢啊所以不能說這不能說您做交通部長我比你還認真看交通委員會的質詢吧好那我來問這次這樣電費的調漲請問部長一下臺北捷運是屬於哪一種的系統運輸業哪一種的系統運輸業都市的吧
transcript.whisperx[661].start 30451.155
transcript.whisperx[661].end 30470.373
transcript.whisperx[661].text 大眾捷運系統運輸也對那漲幅是百分之多少?我知道台鐵跟高鐵是百分之14但是北捷我不知道一樣是百分之14啊所以捷運他都是屬於百分之14跟台鐵還有高鐵一樣
transcript.whisperx[662].start 30471.462
transcript.whisperx[662].end 30481.561
transcript.whisperx[662].text 但是有另外一種分類 您應該很清楚只有7%﹐高捷等捷運少了一半那是哪一類的運輸系統?
transcript.whisperx[663].start 30486.736
transcript.whisperx[663].end 30501.553
transcript.whisperx[663].text 律務上運輸系統,部長、院長您就這就對了嘛,好,院長顯然是比較熟悉喔,這些呢,比如說管道啊、人力車啊、蓄力車或纜車這種用電比較少的,其實你們反而漲它漲比較少,只漲了7%。
transcript.whisperx[664].start 30505.972
transcript.whisperx[664].end 30533.186
transcript.whisperx[664].text 部長您現在了解了嗎?他們漲價的邏輯,他們針對這種用電比較衰退,產業比較衰退的反而是漲的比較少,然後人多的反而是比較多,所以你的那個大眾,就是比如說你現在的列管,你的運輸裡面有哪幾種分類,我覺得你部長你最基本應該要去做了解,所以我們的大眾捷運系統非常的多人,我是說你最基本最基礎要去做一個了解嘛,
transcript.whisperx[665].start 30533.686
transcript.whisperx[665].end 30551.231
transcript.whisperx[665].text 那我想問一下,就是剛剛其實就是院長所說的,我覺得啊,現在很多的,你剛剛那些都答不出來,我就不問你細節了。現在很多齁,比方說像臺北捷運的營運成本,他呢,從漲電價之後,從13%增加到16%,而且臺北捷運的電費就佔他的成本的13%。
transcript.whisperx[666].start 30558.053
transcript.whisperx[666].end 30585.146
transcript.whisperx[666].text 所以我必須要講說一年上億次的人流在漲了電費之後對他們而言真的有很大的壓力那是不是有可能未來針對這些捷運我們就講捷運就好了對捷運包含桃園、台中、高雄、台北都有捷運能夠去給予他們相對應的補貼否則的話今年台電要跟我們要2000億的補貼我們不知道這錢怎麼給出去
transcript.whisperx[667].start 30586.381
transcript.whisperx[667].end 30599.222
transcript.whisperx[667].text 報告委員 三個原則 第一個 這個電價的調整 第一個是反映台電的成本 發電成本 第二個是使用者付費 第三個是對於營運比較不是那麼健全的 我們漲幅比較少 所以它是7%
transcript.whisperx[668].start 30600.299
transcript.whisperx[668].end 30600.759
transcript.whisperx[668].text 好,謝謝徐委員
transcript.whisperx[669].start 30629.38
transcript.whisperx[669].end 30629.9
transcript.whisperx[669].text 謝謝主席。那我們有請院長,謝謝。請左院長備詢。
transcript.whisperx[670].start 30665.732
transcript.whisperx[670].end 30679.467
transcript.whisperx[670].text 本席,今天雖然要來跟院長討論交通的議題,但是本席更關心的是在交通議題後面的一個永續性的問題,也就是我們現在常講的sustainable issue。
transcript.whisperx[671].start 30679.827
transcript.whisperx[671].end 30680.867
transcript.whisperx[671].text 主席主席主席主席
transcript.whisperx[672].start 30699.623
transcript.whisperx[672].end 30716.056
transcript.whisperx[672].text 當我們在做觀光發展的時候我們常會碰到一個問題就是觀光相關單位的介入跟地方節慶的變質那這會導致生活文化面跟旅遊發展上的兩難那這個部分經常在發展
transcript.whisperx[673].start 30716.476
transcript.whisperx[673].end 30716.496
transcript.whisperx[673].text 二、3、4、5、6、7、8、9、10、11、12、12、13、14、15、16、17、18、19、20、21、22、23、24、25、26、27、28、29、30、31、32、33、34、35、36、37、40、40、41、42、43、44、45、46、46、47、49、49、50、50、50、50、50、50、50、50、50、50、50、50、50、50、50、
transcript.whisperx[674].start 30733.248
transcript.whisperx[674].end 30755.625
transcript.whisperx[674].text 那地方節慶呢,在我國有很重要的一個地位。 這個節慶是整個地方的集體記憶、歷史、文化傳統還有社群凝聚的表現,那有很重要的內涵,跟這個社群的意義,對這個社群的意義。 但是觀光單位常常在發展觀光的時候,就跟地方的文化活動來結合。
transcript.whisperx[675].start 30757.626
transcript.whisperx[675].end 30784.549
transcript.whisperx[675].text 但是在發展過後又沒有永續性的繼續推動。 所以本期想要談的是目的導向的問題。 地方節慶通常是當地社會的特定歷史背景﹐文化、習癖或宗教信仰形成的﹐目的是反映了對特定歷史事件﹐神話及自然現象的理解。 但是觀光的節慶常常都是在於做商業行銷﹐
transcript.whisperx[676].start 30786.189
transcript.whisperx[676].end 30804.85
transcript.whisperx[676].text 考慮如何吸引更多的遊客,所以在介入的過程當中常常把它混為一談,所以觀光單位缺乏對這些內涵的理解跟尊重,很容易將節慶化成表面上的一種觀光商品,忽略了核心的文化跟社會意義。
transcript.whisperx[677].start 30806.011
transcript.whisperx[677].end 30823.409
transcript.whisperx[677].text 所以本席想在這邊請教院長政府在推動觀光的同時如何確保文化資源不會被過度的商品化那你們是不是有具體的政策來平衡文化的保護跟經濟發展避免地方結訓失去了文化價值
transcript.whisperx[678].start 30825.996
transcript.whisperx[678].end 30854.506
transcript.whisperx[678].text 無論是經濟發展跟觀光我覺得保存當地的文化特色是應該列為優先的考量這樣才不會讓一個文化就消滅了甚至我們在協助或是參與各地的這種比較傳統性的節慶的時候也應該遵照他們主辦單位傳統以來的方式吸引更多人去是要看過去到現在這種生活記憶的累積而不是看現在用新的方式去改變他們的生活型態
transcript.whisperx[679].start 30855.126
transcript.whisperx[679].end 30873.638
transcript.whisperx[679].text 我們可以在周遭用一些科技的方式來襯托現在的社會新形態的方方面面但是節慶、慶典本身文化的保存我覺得這個才是像全世界有很多文化遺產他們保存的也是這個精神台灣應該文明的朝向這個方向去進展
transcript.whisperx[680].start 30874.922
transcript.whisperx[680].end 30884.149
transcript.whisperx[680].text 謝謝院長,所以我想跟您請教,所以如果您今天去參加原住民的祭儀,我們拿阿美族的豐年祭來講,你們知道什麼時候是可以去參觀的嗎?
transcript.whisperx[681].start 30885.646
transcript.whisperx[681].end 30888.007
transcript.whisperx[681].text 謝謝院長,那所以您剛才講到了時間,所以觀光相關的單位有掌握到這一些細節嗎?
transcript.whisperx[682].start 30905.154
transcript.whisperx[682].end 30913.224
transcript.whisperx[682].text 所以當你們在做行銷的時候或做資訊的傳達有沒有考慮到跟確實掌握這些細節這個是我對於這一點來給這個我們交通部
transcript.whisperx[683].start 30918.38
transcript.whisperx[683].end 30947.185
transcript.whisperx[683].text 當成一個參考另外在跟活動結合的時候你們常常在要跟人家合作的時候就說來我們一起來然後本來人家的本質這個活動的本質可能是一種競技比賽可是當你們介入了之後之後你們就變成體驗活動結果把人家原本有的競技比賽給稀釋掉了之後呢那地方反應的時候你們又說這不是我們的事情我們只管體驗然後那個競技活動變成別的單位這一點觀光局
transcript.whisperx[684].start 30948.065
transcript.whisperx[684].end 30976.708
transcript.whisperx[684].text 對不起,那個交通部,你們對這點有所知嗎?是,這個部分,如果要辦旅遊,跟部落相關的部分,或者是跟一些地方文化相關的部分,我們應該是要尊重地方文化。像自行車啊,然後什麼帆船比賽,你們對這個部分有知覺嗎?所以很多的一些活動,像現在賴總統在談的運動觀光,那如果它原本是競技型的比賽,也因為這種競技型的核心概念而展現出觀光的價值,
transcript.whisperx[685].start 30977.509
transcript.whisperx[685].end 30979.03
transcript.whisperx[685].text 我會尊重地方的文化這個部分我會請他們注意
transcript.whisperx[686].start 31001.015
transcript.whisperx[686].end 31002.336
transcript.whisperx[686].text 國家綠道本席提醒院長
transcript.whisperx[687].start 31026.139
transcript.whisperx[687].end 31047.308
transcript.whisperx[687].text 這幾條目前你們有7條未來我不知道還會不會有更多我們期待有更多將臺灣連結起來所以這7條的國家綠廊分別由經濟部、交通部、農業部、原民會、客委會等部會目前在主責推動跟維護管理但是我不知道你們對於這整個步道的整個推展
transcript.whisperx[688].start 31047.828
transcript.whisperx[688].end 31066.716
transcript.whisperx[688].text 是不是有瞭解它這個管理方式有沒有導致在推動及維護上缺乏的整體性跟協調性?那這個統一的規劃跟整體的行銷是不是因為事權不一而影響到綠島本身作為全國生態及文化旅遊的一個潛力呢?
transcript.whisperx[689].start 31067.276
transcript.whisperx[689].end 31095.342
transcript.whisperx[689].text 行政院是不是有考慮到設立跨部會機構﹖來統籌國家的步道系統﹖結合地方文化資源﹖進行永續管理﹖而不是國發會規劃了之後﹖然後就丟給大家去執行﹖然後沒有後面的控管﹖您的看法呢?如果是幾條的國家級綠道﹖步道﹖分別相關的幾個部會﹖或許真的是實際上是有關﹖原住民﹖客家朋友﹖或是他是經過農地﹖
transcript.whisperx[690].start 31096.562
transcript.whisperx[690].end 31099.205
transcript.whisperx[690].text 主管機關必須對維護或未來發展作考量。 如果已經形成國家公園整個區域
transcript.whisperx[691].start 31111.878
transcript.whisperx[691].end 31133.699
transcript.whisperx[691].text 我們就可以有一個統一的事權來管理 到的年限又比較困難這麼做 但是我們如果用觀光的眼光來看倒是可以請交通部能夠去做一個統合的 但是不一定是完全主管基本上事權統一讓他整體推動ratherland而不是每一個部會各行其事好不好
transcript.whisperx[692].start 31135.025
transcript.whisperx[692].end 31159.11
transcript.whisperx[692].text 所以接下來這個東西也跟步道有點關係可是是自行車跟步道安全在我們推動的時候那當然自行車也是這種無動力的一種交通工具但是在設施的部分沒有系統性的規劃跟管理那這個本席其實有提到過在環島一號自行車車道跟全國的徒步路網其實有很多遊客或旅客會去走
transcript.whisperx[693].start 31160.231
transcript.whisperx[693].end 31171.608
transcript.whisperx[693].text 北黎公路跟蘇花公路還有很多的隱憂,本席在之前的質詢也提到過,就像自行車道跟騎士和大型車輛的路道,
transcript.whisperx[694].start 31175.313
transcript.whisperx[694].end 31201.755
transcript.whisperx[694].text 共用非常狹小的道路,增加了一些事故的風險。 還有,臺灣的自行車道在連續性、安全性上也很不足。 所以在先前的質詢當中,交通部其實承諾本席解決臺二線上面大卡車跟自行車道征道的問題。 這個問題一直很困擾民眾,也導致了一些交通的隱憂。 不曉得這個部長目前的進度如何?
transcript.whisperx[695].start 31202.438
transcript.whisperx[695].end 31216.617
transcript.whisperx[695].text 報告委員,目前最近正在討論很多自行車道的問題,但很抱歉這個部分我確實還沒有聽到他們給我的說法。好的,那請部長是不是追蹤一下這件事情,具體的一個設施方案及改善。
transcript.whisperx[696].start 31217.438
transcript.whisperx[696].end 31246.42
transcript.whisperx[696].text 好那接下來是這個全國環島徒步網的這個問題徒步的旅客也經常會碰到跟自行車一樣的道路狹窄然後最重要的許多車速過快這有動力的車然後步道連續性不足也是一個問題那針對像行人這樣也跟自行車一樣的弱勢族群我們讓他經常是在一個高風險區域在都會裡面也是一樣然後在城鎮之間也是一樣從一個運輸公平的觀點這個部分不知道
transcript.whisperx[697].start 31247.24
transcript.whisperx[697].end 31249.782
transcript.whisperx[697].text 在都會也是一樣,在城鎮之間的連結也是一樣。 不知道部長這邊是不是有一些看法?
transcript.whisperx[698].start 31271.056
transcript.whisperx[698].end 31291.635
transcript.whisperx[698].text 我看這個畫面應該是花東那邊,確實很多人在行走或者是騎腳踏車甚至是摩托車本席也參加過這些活動我覺得這些部分確實是應該要做比較好的規劃,因為旁邊的車子其實跑得蠻快那如果沒有做比較好的規劃其實對於那些要步行的人來說是相對危險的
transcript.whisperx[699].start 31292.356
transcript.whisperx[699].end 31293.438
transcript.whisperx[699].text 主席
transcript.whisperx[700].start 31310.02
transcript.whisperx[700].end 31329.034
transcript.whisperx[700].text 好謝謝那接下來很快的我們都知道我們要進入高齡化的社會那對於這個高齡人口來講呢這個交通事故中死亡率居高不下那我這邊很直接的提出來就是斑馬線設置的時間過短我相信這個應該現在大家有注意到這一點
transcript.whisperx[701].start 31329.815
transcript.whisperx[701].end 31351.901
transcript.whisperx[701].text 另外設施不完善,在都會裡面一樣,那都會外更不用講,那很多時候在鄉下也是一樣,部落裡面更是有一些那個不是只有連外道路,部落裡面就像那個金針山,大家上山的那條路,是部落裡面很重要的一個生活空間,那這種很急速的這個車子跟生活空間,
transcript.whisperx[702].start 31352.421
transcript.whisperx[702].end 31380.913
transcript.whisperx[702].text 的一個衝擊我想這是很嚴重的問題是不是可以全面檢視一下這種聯動性那這個部分是不是不知道交通部目前做到什麼程度時間比較短的部分我們現在有推行人實相的部分或者是行人優先實相的部分就是讓行人先走車子再往前走的這個部分有在規劃這個在都市裡面大家現在都會檢視但是在城鎮的聯動當中還有部落跟主要
transcript.whisperx[703].start 31381.873
transcript.whisperx[703].end 31384.114
transcript.whisperx[703].text 目前部落的邊坡沒有相關檢視,也就是說A、B、C的分級跟處理,交通部目前沒有資料。
transcript.whisperx[704].start 31405.302
transcript.whisperx[704].end 31433.285
transcript.whisperx[704].text 那所以我在上次提到有關於這個部落的這個邊坡相關的這個問題我們目前沒有下文所以不知道這個目前的進度如何 報告委員我是針對省道跟國道還有鐵路的部分我們邊坡我們都有做管理但是因為部落大部分是鄉道或者是縣道那這個部分確實交通部沒有進入去處理這一塊確實是 所以這我為部落這邊來請命啦那個我們東海岸很多那在這個山
transcript.whisperx[705].start 31434.285
transcript.whisperx[705].end 31439.049
transcript.whisperx[705].text 最後要提到一個很重要的問題是一個免簽政策跟非法滯留的問題這現在引起了很嚴重的狀況
transcript.whisperx[706].start 31463.039
transcript.whisperx[706].end 31490.061
transcript.whisperx[706].text 這其實牽扯到是一個短期的經濟利益跟長期社會成本的一個衝突我想這幾天那本席在這邊也收到很多的投訴我們為了推展觀光然後開放了很多免簽甚至有些國家我們提供了他們補助來台灣為了衝高這個數字但是導致一個很嚴重的問題就是非法滯留請問院長您知道現在非法滯留有多少人嗎?
transcript.whisperx[707].start 31491.062
transcript.whisperx[707].end 31519.422
transcript.whisperx[707].text 這是非常嚴重的國安問題我會請監管單位把人數跟他們怎麼防範做一個有效的報告本席這邊研究出來的人數至少目前有9萬人這個比例非常的高喔非法滯留有9萬人那這就是如同你講的是個國安問題所以它不僅是對社會產生很嚴重的問題對我們觀光發展真的是正面的嗎
transcript.whisperx[708].start 31520.623
transcript.whisperx[708].end 31548.951
transcript.whisperx[708].text 但是這裏面的細節就是在今年的3月1日我們修正了入出國及移民法也提高了對預期滯留者的罰款從一萬塊提升到五萬塊結果呢現在是大部分的人通通都裝死那我先跟院長請教一下您知道這些錢是從哪邊付的嗎?從哪邊付的?我請教這個是不是有包括一些逃逸的移工在內?
transcript.whisperx[709].start 31550.196
transcript.whisperx[709].end 31550.316
transcript.whisperx[709].text 好 謝謝林委員
transcript.whisperx[710].start 31582.321
transcript.whisperx[710].end 31594.875
transcript.whisperx[710].text 下一位我們請邱若驊委員質詢。謝謝主席。主席有請行政院院長卓院長。卓院長請背信。
transcript.whisperx[711].start 31604.912
transcript.whisperx[711].end 31627.112
transcript.whisperx[711].text 邱委員好。 院長好。 院長,行政院在9月30日正式核定桃竹廟大溪谷推動的方案草案,期稱2024至2027年將桃竹廟打造為更加完整的產業生態圈,4年要增6兆的產值,就業人口增14萬。首先本席肯定賴清德總統對現今選時的政見,也肯定
transcript.whisperx[712].start 31627.732
transcript.whisperx[712].end 31655.263
transcript.whisperx[712].text 行政院的效率該計畫推動不只有利地方的發展更能提升我國在國際間的競爭力根據國發會核定報告的內容與桃竹苗大細股相關的交通計畫共有22項其中涉及桃園市境內的就有14項跨山線市的有一項與桃園的相關建設就有15項也就是說桃園的交通建設是否完善對計畫有極重大的影響請問院長您認同嗎
transcript.whisperx[713].start 31659.645
transcript.whisperx[713].end 31674.13
transcript.whisperx[713].text 桃園的交通建設對於該計劃有極重大的影響,請問院長您認同嗎?當然同意,而且謝謝委員,我們雖然核定,我還沒有辦法一次把這麼詳細的資料說出來,感謝委員這樣的整理,謝謝。 院長我們可以在圖表中看到,
transcript.whisperx[714].start 31674.77
transcript.whisperx[714].end 31694.43
transcript.whisperx[714].text 其中有六項計畫需要桃園市政府來做分攤。 三項計畫目前還在評估中,分別下列六項總計是528.7億。 評估中的三項建設依照國發會主委高仙貴的說法,板龍快速道路、新梅龍快速道路正在辦理可行性的研究。
transcript.whisperx[715].start 31696.312
transcript.whisperx[715].end 31706.966
transcript.whisperx[715].text 預估,經費分別為1100億及600億元,那相信這個金額日後會更高,而捷運綠線延伸至大溪出估的經費是250億,上述三個計劃無疑是對桃園的施政經費。
transcript.whisperx[716].start 31711.331
transcript.whisperx[716].end 31711.631
transcript.whisperx[716].text 對我們除了
transcript.whisperx[717].start 31732.41
transcript.whisperx[717].end 31749.137
transcript.whisperx[717].text 這個桃竹苗大溪谷計畫我們還有其他區域性計畫我們都會用同樣的方式依國家的財政跟地區發展的需求我們跟地方政府充分合作我覺得在這個區域性的六大塊區域性發展過程當中中央必須負比較大的責任
transcript.whisperx[718].start 31749.793
transcript.whisperx[718].end 31750.213
transcript.whisperx[718].text 請問院長,新政院接下來將會承擔吧?
transcript.whisperx[719].start 31774.027
transcript.whisperx[719].end 31792.896
transcript.whisperx[719].text 桃園捷運綠線延伸之大旗目前還在桃園市政府修正可行性研究報告中。 院長之後是否將可行性的研究送達至中央後,本席希望中央可以來競速核定。 由於經費過高,本席也希望中央可以從優的來補助。 緩解地方的財政,院長這個能做到嗎?
transcript.whisperx[720].start 31793.888
transcript.whisperx[720].end 31823.468
transcript.whisperx[720].text 對,就包括這種區域性的、跨縣式的、必須比較多的年數來做連續性預算的整個大的工作,都是過去到現在都是中央在做統一的規劃。這也是中央為什麼在這個財務的掌握底下,要必須有這種比較大的規劃方向。所以我們最近討論很多中央地方財政的合作,我認為我們如果從這個方向來談,中央負更多的責任來幫地方一起來做合作,這才是正途。
transcript.whisperx[721].start 31824.649
transcript.whisperx[721].end 31847.89
transcript.whisperx[721].text 再請院長來全力支持那院長我們在看巴德交流道之前我們先來看近五年六都的中央統籌分配款還有一般的補助性金額由次表可知我們可以看到桃園市的中央統籌分配款還有一般補助性的金額一直都是六都墊底這樣的分配無疑是造成地方政府的財政困難
transcript.whisperx[722].start 31848.97
transcript.whisperx[722].end 31854.052
transcript.whisperx[722].text 本席要舉例在114年桃園市稅出編列1711.98億那其中的捷運還有鐵路地下化編列153億1463萬元桃園航空城建設編列144億4069萬元那在各項社會福利補貼編列147億9980萬元有關長者的補助編列73億1657萬等院長您知道這代表什麼嗎
transcript.whisperx[723].start 31878.462
transcript.whisperx[723].end 31884.824
transcript.whisperx[723].text 這也代表我們桃園市政府已經沒有多餘的經費了那國三政策八個交流道除了能夠改善地方的交通問題啊 更是桃竹苗大溪谷這個計畫中重要的交通建設之一 院長您知道這項建設地方要分攤多少錢嗎
transcript.whisperx[724].start 31906.244
transcript.whisperx[724].end 31921.398
transcript.whisperx[724].text 這個部分我知道委員想要說的是他用地的這個費用啦用地的費用確實是地方應該要負擔但我現在聽到的是地方他們可能短時間之內沒有辦法一筆來付啦那目前交通部其實有正在跟桃園市政府正在溝通
transcript.whisperx[725].start 31921.778
transcript.whisperx[725].end 31928.764
transcript.whisperx[725].text 本席來更詳細的說明,用地費是11.19億,連絡到71.89億,合計是83.08億。 院長、部長我們個別來看,有關11.19億的用地費部分,高工局要求市府必須一次性撥付整筆款項,才會啟動後續的作業。 市府已經將該費用納入114年預算,但市府財政實在沒有辦法在114年來做編滿。
transcript.whisperx[726].start 31946.838
transcript.whisperx[726].end 31962.726
transcript.whisperx[726].text 陶淵市府提出也希望將經費分為兩年支出,14年撥付7成,15年撥付3成。 院長、部長為了讓後續的作業可以如期來運作,行政院應該來居中協調,也拜託部長來協助,讓陶淵市政府分年撥付。
transcript.whisperx[727].start 31963.786
transcript.whisperx[727].end 31982.267
transcript.whisperx[727].text 目前正在協調當中,我們也希望進度可以快一些,那一天我們去桃園的時候,他們的秘書長也有特別跟我提到這件事,那我也請我們交通部的同仁們趕快加速來討論。
transcript.whisperx[728].start 31983.971
transcript.whisperx[728].end 32006.362
transcript.whisperx[728].text 好那至於另外71.891的聯絡道工程部分這筆費用也造成地方政府的財政負擔那市府希望可以爭取生活圈交通系統建設計畫那目前市政府已經完成編號道路的報編程序了為了順利推動桃竹苗大矽谷計畫本席請院長召集國土署還有交通部等相關單位進行研議院長說得到嗎這個部長在這裡說這個應該是請國土署
transcript.whisperx[729].start 32013.63
transcript.whisperx[729].end 32014.932
transcript.whisperx[729].text 請問我們什麼時候可以來召開會議?
transcript.whisperx[730].start 32028.935
transcript.whisperx[730].end 32034.179
transcript.whisperx[730].text 為了配合未來巴德交流到通車後的運量﹚還有紓解大溪的交通﹚市府預計推動大溪兩岸道路計畫﹚經費預估是49.6億﹚待抱邊道路還有環平的程序過後﹚
transcript.whisperx[731].start 32053.175
transcript.whisperx[731].end 32073.435
transcript.whisperx[731].text 會提出補助的申請﹚該計劃是巴德交流道的延伸﹚對於桃竹廟大溪谷的推動也有正面的效益﹚日後市府送交計劃後本席希望院長能夠來要求相關部會﹚訂定中長城的個案補助計劃﹚例如新北市的1050道。 院長可以給本席承諾嗎?
transcript.whisperx[732].start 32074.421
transcript.whisperx[732].end 32081.427
transcript.whisperx[732].text 巴德交流道能否順利興建,將會影響桃竹苗大矽谷是否能順利推動,也由於地方財政不足,需要仰賴中央協助,請中央務必全力支持。
transcript.whisperx[733].start 32101.87
transcript.whisperx[733].end 32121.448
transcript.whisperx[733].text 本席請問院長,您自認是一位有效率有執行力的人嗎?努力。再來本席要針對山陰縣延伸桃園8的一案請教院長。 交通部於9月20日彙整資料後目前呈報行政院至今已經28天了。 請問部長目前的核定進度是?
transcript.whisperx[734].start 32126.17
transcript.whisperx[734].end 32151.729
transcript.whisperx[734].text 目前他的中規在交通部的部分是原則上已經同意那也送到院本席在這邊也要和部長說也要和院長說院長這件案子從交通部陳列到審議結束共花費29天交通部補充資料送出城堡花費了101天行政院合決資金花了28天目前中央審議就花費一共158天如果再不核定天數只會一直累積
transcript.whisperx[735].start 32152.529
transcript.whisperx[735].end 32159.973
transcript.whisperx[735].text 本席不得不提,我們來看到臺鐵征聖鳳鳴臨時站的計畫,從交通部承包到行政院合訂經費,院長您知道花了幾天嗎?這樣看是一個多月的時間
transcript.whisperx[736].start 32167.171
transcript.whisperx[736].end 32182.241
transcript.whisperx[736].text 交通部提交計畫到行政院審查會議通過12天,審查會議到交通部修正計畫提出21天,提交修正計畫到核定僅花15天,該案為蘇貞昌院長任內使通過。
transcript.whisperx[737].start 32183.422
transcript.whisperx[737].end 32208.731
transcript.whisperx[737].text 院長,蘇貞昌院長只花了48天就核定了偵涉鳳鳴戰役案,本席相信金人勝錢人,以卓部長的執行力與魄力,一定能夠超越前輩。 院長有沒有信心?因為上面那個案剛好牽扯到政府的新改組,所以當中應該有一些銜接的過程,我們表示抱歉。 那未來我們盡快照目前的程序來加速,做一個合理的決定。
transcript.whisperx[738].start 32209.885
transcript.whisperx[738].end 32237.311
transcript.whisperx[738].text 是,院長儘快是多快?因為已經158天了。很快,就會加快,就會很快。希望可以在10月底前來做核定,可以嗎?我看他送到院裡面來,我們院裡相關的這個單位有沒有特別的其他意見,通常或許會再請這個部會或是地方表達不同的意見,如果沒有的話就很快。那有的話也是在讓這個計畫更完整,請委員放心。
transcript.whisperx[739].start 32238.947
transcript.whisperx[739].end 32254.019
transcript.whisperx[739].text 三一線延伸巴德對於巴德還有大西的民眾至關重要,而且國發會也採支持的態度,所以麻煩卓院長展現效率在本月月底前,本席是希望可以在本月的月底前,那就核定三一線延伸巴德的計畫。
transcript.whisperx[740].start 32255.981
transcript.whisperx[740].end 32261.763
transcript.whisperx[740].text 北橫國家風景區是我們桃園市政府近年推動的重要觀光政策。 去年市府為了宣傳北橫之美更是推出了北橫觀光形象影片。 根據桃園市政府統計
transcript.whisperx[741].start 32282.589
transcript.whisperx[741].end 32303.196
transcript.whisperx[741].text 北橫的旅遊人次從111年的900多萬人次大幅提升到112年1131萬人次,代表北橫有良好的觀光資源還有發展觀光的潛力。 桃園市政府也在今年的6月7日函送北橫地區環境資源調查及評鑑作業說明書至交通部觀光署。
transcript.whisperx[742].start 32303.876
transcript.whisperx[742].end 32325.202
transcript.whisperx[742].text 後續,人均評鑑和部落會議過半數決議同意等程序才能成立北橫國家風景區。就本席了解,目前北橫卡關的原因主要是因為原民會議無法順利召開。 本席就很納悶了,根據桃園市管理局表示,已經針對復興區的原民部落議院調查,
transcript.whisperx[743].start 32326.653
transcript.whisperx[743].end 32340.799
transcript.whisperx[743].text 表示地方有民眾超過六成的民眾表示贊成而復興區有60個大小部落有部落會議的組織只有一半因此有一定的難度請問院長您贊不贊成成立北橫國家風景區
transcript.whisperx[744].start 32342.475
transcript.whisperx[744].end 32358.487
transcript.whisperx[744].text 如果剛剛看委員這樣一個人數的成長表示國人也好或是世界上的朋友對這個地方會有很多的期待跟興趣那我們來成立是應該列為未來可以考慮的方向吧我們請交通部來積極的研究我們希望能夠盡快
transcript.whisperx[745].start 32363.431
transcript.whisperx[745].end 32386.159
transcript.whisperx[745].text 還在討論目前就是卡在園民會那不得不說院長部長近期園民會委員爭議不斷照高進委員還有黃國昌委員指出他們月領8萬多元的高薪那他們也有些委員也只跑地方的混上喜慶所以在此本席要強力的來建議院長為了消除大家的質疑請院長與園民會主委來做溝通讓這18位
transcript.whisperx[746].start 32389.09
transcript.whisperx[746].end 32408.258
transcript.whisperx[746].text 月領八萬高薪的原住民委員動起來了,協助桃園市政府還有各原民會部落來做溝通,成就中央地方齊心成立北橫國家公園的佳化。 院長您願意當這座溝通的橋樑嗎?原民會的委員代表各個族群部落不同的
transcript.whisperx[747].start 32409.411
transcript.whisperx[747].end 32409.711
transcript.whisperx[747].text 委員會主委
transcript.whisperx[748].start 32431.69
transcript.whisperx[748].end 32448.593
transcript.whisperx[748].text 是為了我們臺灣的觀光,就是我們大家一起動起來。那我們再來看另外一座橋。我們桃園大溪一直以來都是桃園的觀光重鎮。大溪的歷史可以追溯到秦龍年間,約末1736年,並有漢人逆襲而上開墾,所以留下了許多
transcript.whisperx[749].start 32449.013
transcript.whisperx[749].end 32450.615
transcript.whisperx[749].text 臨近雙北,所以每當假日就有眾多的遊客和鄉客。
transcript.whisperx[750].start 32466.269
transcript.whisperx[750].end 32473.553
transcript.whisperx[750].text 根據觀光署統計,大溪老城區109年有489.1萬人次造訪,逐年攀升到112年的698.8萬人次,其中112年的旅客人次相比115年多出105萬人次。慈湖臨景則是從109年的197.8萬人次攀升到112年的357.8萬人次。我們單從這兩個
transcript.whisperx[751].start 32496.547
transcript.whisperx[751].end 32521.144
transcript.whisperx[751].text 大溪的遊客是呈現逐年增加的趨勢。由於大溪遭大旱溪切割的關係,導致大溪的老城區與大溪交流到分屬兩岸,所以每到假日便出現了嚴重的塞車問題。而老城區連外的橋樑僅有武嶺橋、坎津大橋,目前已經沒有辦法紓解假日的人潮和車流。
transcript.whisperx[752].start 32533.482
transcript.whisperx[752].end 32550.668
transcript.whisperx[752].text 好,謝謝邱委員。報言會本日排定質詢的委員均與答詢完畢。謝謝卓院長及相關部會首長列席答詢。10月22日星期二上午9時繼續開會,進行交通組織質詢,現在休息。
transcript.whisperx[753].start 32673.181
transcript.whisperx[753].end 32673.201
transcript.whisperx[753].text 二、3、4、5、6﹗