iVOD / 16257

Field Value
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd161a8535b05d3ed3b6918ac9a8133975edb79b8bfb08e7999e5f90873ed2f4085ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-11-13T09:00:00+08:00
會議名稱 立法院第11屆第2會期交通委員會第9次全體委員會議(事由:一、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。二、審查114年度中央政府總預算案關於數位發展部數位產業署單位預算。【僅進行詢答;委員預算提案於12月3日中午12時前截止收件】)
委員名稱 完整會議
影片長度 16079
委員發言時間 08:31:01 - 12:59:00
transcript.pyannote[0].speaker SPEAKER_26
transcript.pyannote[0].start 1742.34096875
transcript.pyannote[0].end 1751.06534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 1753.05659375
transcript.pyannote[1].end 1760.09346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 1760.49846875
transcript.pyannote[2].end 1768.68284375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1768.75034375
transcript.pyannote[3].end 1771.18034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1771.51784375
transcript.pyannote[4].end 1777.27221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1777.91346875
transcript.pyannote[5].end 1782.03096875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 1782.28409375
transcript.pyannote[6].end 1784.25846875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1784.51159375
transcript.pyannote[7].end 1786.58721875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 1786.77284375
transcript.pyannote[8].end 1796.47596875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 1797.74159375
transcript.pyannote[9].end 1813.11471875
transcript.pyannote[10].speaker SPEAKER_26
transcript.pyannote[10].start 1814.95409375
transcript.pyannote[10].end 1823.02034375
transcript.pyannote[11].speaker SPEAKER_26
transcript.pyannote[11].start 1823.77971875
transcript.pyannote[11].end 1824.72471875
transcript.pyannote[12].speaker SPEAKER_26
transcript.pyannote[12].start 1824.91034375
transcript.pyannote[12].end 1828.87596875
transcript.pyannote[13].speaker SPEAKER_26
transcript.pyannote[13].start 1830.22596875
transcript.pyannote[13].end 1831.05284375
transcript.pyannote[14].speaker SPEAKER_26
transcript.pyannote[14].start 1831.57596875
transcript.pyannote[14].end 1835.86221875
transcript.pyannote[15].speaker SPEAKER_26
transcript.pyannote[15].start 1836.55409375
transcript.pyannote[15].end 1841.97096875
transcript.pyannote[16].speaker SPEAKER_26
transcript.pyannote[16].start 1843.30409375
transcript.pyannote[16].end 1856.02784375
transcript.pyannote[17].speaker SPEAKER_26
transcript.pyannote[17].start 1856.48346875
transcript.pyannote[17].end 1859.87534375
transcript.pyannote[18].speaker SPEAKER_26
transcript.pyannote[18].start 1860.21284375
transcript.pyannote[18].end 1864.02659375
transcript.pyannote[19].speaker SPEAKER_26
transcript.pyannote[19].start 1864.41471875
transcript.pyannote[19].end 1868.81909375
transcript.pyannote[20].speaker SPEAKER_26
transcript.pyannote[20].start 1869.05534375
transcript.pyannote[20].end 1870.06784375
transcript.pyannote[21].speaker SPEAKER_26
transcript.pyannote[21].start 1870.23659375
transcript.pyannote[21].end 1874.45534375
transcript.pyannote[22].speaker SPEAKER_26
transcript.pyannote[22].start 1875.21471875
transcript.pyannote[22].end 1879.55159375
transcript.pyannote[23].speaker SPEAKER_26
transcript.pyannote[23].start 1879.73721875
transcript.pyannote[23].end 1880.63159375
transcript.pyannote[24].speaker SPEAKER_26
transcript.pyannote[24].start 1880.73284375
transcript.pyannote[24].end 1885.20471875
transcript.pyannote[25].speaker SPEAKER_26
transcript.pyannote[25].start 1885.86284375
transcript.pyannote[25].end 1888.61346875
transcript.pyannote[26].speaker SPEAKER_26
transcript.pyannote[26].start 1889.37284375
transcript.pyannote[26].end 1898.80596875
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 1907.53034375
transcript.pyannote[27].end 1915.83284375
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 1916.20409375
transcript.pyannote[28].end 1924.18596875
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 1924.55721875
transcript.pyannote[29].end 1941.80346875
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 1942.44471875
transcript.pyannote[30].end 1944.21659375
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 1944.23346875
transcript.pyannote[31].end 1945.78596875
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 1946.35971875
transcript.pyannote[32].end 1950.84846875
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 1951.06784375
transcript.pyannote[33].end 1953.83534375
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 1954.56096875
transcript.pyannote[34].end 1960.58534375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 1960.85534375
transcript.pyannote[35].end 1961.20971875
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 1962.94784375
transcript.pyannote[36].end 1963.67346875
transcript.pyannote[37].speaker SPEAKER_26
transcript.pyannote[37].start 1968.65159375
transcript.pyannote[37].end 1970.05221875
transcript.pyannote[38].speaker SPEAKER_29
transcript.pyannote[38].start 1975.97534375
transcript.pyannote[38].end 1977.37596875
transcript.pyannote[39].speaker SPEAKER_29
transcript.pyannote[39].start 1977.71346875
transcript.pyannote[39].end 1983.02909375
transcript.pyannote[40].speaker SPEAKER_29
transcript.pyannote[40].start 1983.24846875
transcript.pyannote[40].end 1992.04034375
transcript.pyannote[41].speaker SPEAKER_29
transcript.pyannote[41].start 1992.34409375
transcript.pyannote[41].end 1994.41971875
transcript.pyannote[42].speaker SPEAKER_29
transcript.pyannote[42].start 1994.79096875
transcript.pyannote[42].end 2001.57471875
transcript.pyannote[43].speaker SPEAKER_29
transcript.pyannote[43].start 2003.12721875
transcript.pyannote[43].end 2026.24596875
transcript.pyannote[44].speaker SPEAKER_29
transcript.pyannote[44].start 2026.63409375
transcript.pyannote[44].end 2028.86159375
transcript.pyannote[45].speaker SPEAKER_29
transcript.pyannote[45].start 2029.08096875
transcript.pyannote[45].end 2031.51096875
transcript.pyannote[46].speaker SPEAKER_29
transcript.pyannote[46].start 2031.67971875
transcript.pyannote[46].end 2035.00409375
transcript.pyannote[47].speaker SPEAKER_29
transcript.pyannote[47].start 2035.18971875
transcript.pyannote[47].end 2042.09159375
transcript.pyannote[48].speaker SPEAKER_29
transcript.pyannote[48].start 2042.32784375
transcript.pyannote[48].end 2043.74534375
transcript.pyannote[49].speaker SPEAKER_29
transcript.pyannote[49].start 2044.33596875
transcript.pyannote[49].end 2047.91346875
transcript.pyannote[50].speaker SPEAKER_29
transcript.pyannote[50].start 2048.68971875
transcript.pyannote[50].end 2057.76846875
transcript.pyannote[51].speaker SPEAKER_29
transcript.pyannote[51].start 2058.32534375
transcript.pyannote[51].end 2064.85596875
transcript.pyannote[52].speaker SPEAKER_29
transcript.pyannote[52].start 2064.97409375
transcript.pyannote[52].end 2070.03659375
transcript.pyannote[53].speaker SPEAKER_29
transcript.pyannote[53].start 2070.18846875
transcript.pyannote[53].end 2082.25409375
transcript.pyannote[54].speaker SPEAKER_29
transcript.pyannote[54].start 2082.81096875
transcript.pyannote[54].end 2088.54846875
transcript.pyannote[55].speaker SPEAKER_29
transcript.pyannote[55].start 2088.80159375
transcript.pyannote[55].end 2096.76659375
transcript.pyannote[56].speaker SPEAKER_29
transcript.pyannote[56].start 2097.69471875
transcript.pyannote[56].end 2101.12034375
transcript.pyannote[57].speaker SPEAKER_29
transcript.pyannote[57].start 2102.21721875
transcript.pyannote[57].end 2105.40659375
transcript.pyannote[58].speaker SPEAKER_29
transcript.pyannote[58].start 2105.45721875
transcript.pyannote[58].end 2125.18409375
transcript.pyannote[59].speaker SPEAKER_29
transcript.pyannote[59].start 2125.90971875
transcript.pyannote[59].end 2132.64284375
transcript.pyannote[60].speaker SPEAKER_29
transcript.pyannote[60].start 2133.84096875
transcript.pyannote[60].end 2148.38721875
transcript.pyannote[61].speaker SPEAKER_29
transcript.pyannote[61].start 2149.07909375
transcript.pyannote[61].end 2167.65846875
transcript.pyannote[62].speaker SPEAKER_29
transcript.pyannote[62].start 2168.06346875
transcript.pyannote[62].end 2182.28909375
transcript.pyannote[63].speaker SPEAKER_29
transcript.pyannote[63].start 2182.84596875
transcript.pyannote[63].end 2187.38534375
transcript.pyannote[64].speaker SPEAKER_29
transcript.pyannote[64].start 2187.60471875
transcript.pyannote[64].end 2188.80284375
transcript.pyannote[65].speaker SPEAKER_29
transcript.pyannote[65].start 2190.06846875
transcript.pyannote[65].end 2191.41846875
transcript.pyannote[66].speaker SPEAKER_29
transcript.pyannote[66].start 2191.62096875
transcript.pyannote[66].end 2193.79784375
transcript.pyannote[67].speaker SPEAKER_29
transcript.pyannote[67].start 2194.10159375
transcript.pyannote[67].end 2213.35596875
transcript.pyannote[68].speaker SPEAKER_29
transcript.pyannote[68].start 2213.86221875
transcript.pyannote[68].end 2221.23659375
transcript.pyannote[69].speaker SPEAKER_29
transcript.pyannote[69].start 2221.28721875
transcript.pyannote[69].end 2229.58971875
transcript.pyannote[70].speaker SPEAKER_29
transcript.pyannote[70].start 2229.89346875
transcript.pyannote[70].end 2231.00721875
transcript.pyannote[71].speaker SPEAKER_29
transcript.pyannote[71].start 2231.74971875
transcript.pyannote[71].end 2237.77409375
transcript.pyannote[72].speaker SPEAKER_29
transcript.pyannote[72].start 2238.41534375
transcript.pyannote[72].end 2244.01784375
transcript.pyannote[73].speaker SPEAKER_29
transcript.pyannote[73].start 2244.82784375
transcript.pyannote[73].end 2251.40909375
transcript.pyannote[74].speaker SPEAKER_29
transcript.pyannote[74].start 2251.51034375
transcript.pyannote[74].end 2256.40409375
transcript.pyannote[75].speaker SPEAKER_29
transcript.pyannote[75].start 2256.52221875
transcript.pyannote[75].end 2266.83284375
transcript.pyannote[76].speaker SPEAKER_29
transcript.pyannote[76].start 2267.87909375
transcript.pyannote[76].end 2269.76909375
transcript.pyannote[77].speaker SPEAKER_29
transcript.pyannote[77].start 2269.83659375
transcript.pyannote[77].end 2276.11409375
transcript.pyannote[78].speaker SPEAKER_26
transcript.pyannote[78].start 2276.11409375
transcript.pyannote[78].end 2276.14784375
transcript.pyannote[79].speaker SPEAKER_29
transcript.pyannote[79].start 2277.51471875
transcript.pyannote[79].end 2277.97034375
transcript.pyannote[80].speaker SPEAKER_26
transcript.pyannote[80].start 2277.97034375
transcript.pyannote[80].end 2285.88471875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 2286.03659375
transcript.pyannote[81].end 2311.29846875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 2311.46721875
transcript.pyannote[82].end 2326.70534375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 2326.82346875
transcript.pyannote[83].end 2332.64534375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 2333.65784375
transcript.pyannote[84].end 2350.38096875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 2351.22471875
transcript.pyannote[85].end 2372.33534375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 2372.75721875
transcript.pyannote[86].end 2392.33221875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 2392.63596875
transcript.pyannote[87].end 2401.54596875
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 2402.01846875
transcript.pyannote[88].end 2405.64659375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 2406.64221875
transcript.pyannote[89].end 2412.19409375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 2412.26159375
transcript.pyannote[90].end 2423.77034375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 2424.10784375
transcript.pyannote[91].end 2439.02534375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 2439.83534375
transcript.pyannote[92].end 2442.60284375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 2442.78846875
transcript.pyannote[93].end 2451.02346875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 2451.71534375
transcript.pyannote[94].end 2469.56909375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 2469.82221875
transcript.pyannote[95].end 2470.49721875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 2470.64909375
transcript.pyannote[96].end 2472.96096875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 2473.29846875
transcript.pyannote[97].end 2477.39909375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 2477.78721875
transcript.pyannote[98].end 2489.53221875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 2490.10596875
transcript.pyannote[99].end 2507.20034375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 2507.84159375
transcript.pyannote[100].end 2513.17409375
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 2513.42721875
transcript.pyannote[101].end 2518.60784375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 2518.62471875
transcript.pyannote[102].end 2520.97034375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 2521.42596875
transcript.pyannote[103].end 2532.24284375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 2532.85034375
transcript.pyannote[104].end 2536.44471875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 2537.59221875
transcript.pyannote[105].end 2589.66846875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 2589.90471875
transcript.pyannote[106].end 2594.20784375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 2595.42284375
transcript.pyannote[107].end 2625.52784375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 2625.94971875
transcript.pyannote[108].end 2663.27721875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 2663.83409375
transcript.pyannote[109].end 2685.78846875
transcript.pyannote[110].speaker SPEAKER_26
transcript.pyannote[110].start 2686.37909375
transcript.pyannote[110].end 2688.74159375
transcript.pyannote[111].speaker SPEAKER_26
transcript.pyannote[111].start 2689.48409375
transcript.pyannote[111].end 2694.09096875
transcript.pyannote[112].speaker SPEAKER_26
transcript.pyannote[112].start 2694.83346875
transcript.pyannote[112].end 2699.01846875
transcript.pyannote[113].speaker SPEAKER_26
transcript.pyannote[113].start 2699.98034375
transcript.pyannote[113].end 2706.64596875
transcript.pyannote[114].speaker SPEAKER_26
transcript.pyannote[114].start 2707.59096875
transcript.pyannote[114].end 2709.34596875
transcript.pyannote[115].speaker SPEAKER_26
transcript.pyannote[115].start 2711.57346875
transcript.pyannote[115].end 2719.74096875
transcript.pyannote[116].speaker SPEAKER_26
transcript.pyannote[116].start 2720.14596875
transcript.pyannote[116].end 2723.26784375
transcript.pyannote[117].speaker SPEAKER_26
transcript.pyannote[117].start 2723.74034375
transcript.pyannote[117].end 2728.36409375
transcript.pyannote[118].speaker SPEAKER_26
transcript.pyannote[118].start 2728.83659375
transcript.pyannote[118].end 2731.57034375
transcript.pyannote[119].speaker SPEAKER_26
transcript.pyannote[119].start 2732.07659375
transcript.pyannote[119].end 2734.03409375
transcript.pyannote[120].speaker SPEAKER_26
transcript.pyannote[120].start 2734.38846875
transcript.pyannote[120].end 2737.91534375
transcript.pyannote[121].speaker SPEAKER_21
transcript.pyannote[121].start 2751.44909375
transcript.pyannote[121].end 2753.30534375
transcript.pyannote[122].speaker SPEAKER_26
transcript.pyannote[122].start 2753.45721875
transcript.pyannote[122].end 2754.63846875
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 2758.16534375
transcript.pyannote[123].end 2758.38471875
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 2758.62096875
transcript.pyannote[124].end 2759.38034375
transcript.pyannote[125].speaker SPEAKER_21
transcript.pyannote[125].start 2759.46471875
transcript.pyannote[125].end 2766.82221875
transcript.pyannote[126].speaker SPEAKER_21
transcript.pyannote[126].start 2767.27784375
transcript.pyannote[126].end 2772.94784375
transcript.pyannote[127].speaker SPEAKER_21
transcript.pyannote[127].start 2774.02784375
transcript.pyannote[127].end 2776.35659375
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 2776.67721875
transcript.pyannote[128].end 2778.95534375
transcript.pyannote[129].speaker SPEAKER_21
transcript.pyannote[129].start 2778.95534375
transcript.pyannote[129].end 2786.54909375
transcript.pyannote[130].speaker SPEAKER_21
transcript.pyannote[130].start 2786.86971875
transcript.pyannote[130].end 2792.06721875
transcript.pyannote[131].speaker SPEAKER_21
transcript.pyannote[131].start 2792.18534375
transcript.pyannote[131].end 2792.20221875
transcript.pyannote[132].speaker SPEAKER_16
transcript.pyannote[132].start 2792.20221875
transcript.pyannote[132].end 2792.43846875
transcript.pyannote[133].speaker SPEAKER_21
transcript.pyannote[133].start 2792.43846875
transcript.pyannote[133].end 2815.47284375
transcript.pyannote[134].speaker SPEAKER_07
transcript.pyannote[134].start 2815.59096875
transcript.pyannote[134].end 2816.43471875
transcript.pyannote[135].speaker SPEAKER_21
transcript.pyannote[135].start 2815.86096875
transcript.pyannote[135].end 2825.66534375
transcript.pyannote[136].speaker SPEAKER_21
transcript.pyannote[136].start 2825.86784375
transcript.pyannote[136].end 2826.45846875
transcript.pyannote[137].speaker SPEAKER_05
transcript.pyannote[137].start 2825.90159375
transcript.pyannote[137].end 2826.35721875
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 2826.45846875
transcript.pyannote[138].end 2826.59346875
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 2826.64409375
transcript.pyannote[139].end 2846.35409375
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 2846.67471875
transcript.pyannote[140].end 2848.58159375
transcript.pyannote[141].speaker SPEAKER_21
transcript.pyannote[141].start 2847.11346875
transcript.pyannote[141].end 2869.18596875
transcript.pyannote[142].speaker SPEAKER_05
transcript.pyannote[142].start 2851.36596875
transcript.pyannote[142].end 2851.66971875
transcript.pyannote[143].speaker SPEAKER_21
transcript.pyannote[143].start 2869.64159375
transcript.pyannote[143].end 2871.78471875
transcript.pyannote[144].speaker SPEAKER_21
transcript.pyannote[144].start 2872.40909375
transcript.pyannote[144].end 2872.45971875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 2872.45971875
transcript.pyannote[145].end 2872.83096875
transcript.pyannote[146].speaker SPEAKER_21
transcript.pyannote[146].start 2873.53971875
transcript.pyannote[146].end 2873.57346875
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 2873.57346875
transcript.pyannote[147].end 2874.01221875
transcript.pyannote[148].speaker SPEAKER_05
transcript.pyannote[148].start 2874.21471875
transcript.pyannote[148].end 2879.27721875
transcript.pyannote[149].speaker SPEAKER_21
transcript.pyannote[149].start 2876.27346875
transcript.pyannote[149].end 2877.40409375
transcript.pyannote[150].speaker SPEAKER_21
transcript.pyannote[150].start 2877.43784375
transcript.pyannote[150].end 2877.87659375
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 2879.80034375
transcript.pyannote[151].end 2887.73159375
transcript.pyannote[152].speaker SPEAKER_21
transcript.pyannote[152].start 2885.48721875
transcript.pyannote[152].end 2895.86534375
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 2895.86534375
transcript.pyannote[153].end 2899.15596875
transcript.pyannote[154].speaker SPEAKER_21
transcript.pyannote[154].start 2896.13534375
transcript.pyannote[154].end 2897.38409375
transcript.pyannote[155].speaker SPEAKER_21
transcript.pyannote[155].start 2899.15596875
transcript.pyannote[155].end 2900.20221875
transcript.pyannote[156].speaker SPEAKER_21
transcript.pyannote[156].start 2900.67471875
transcript.pyannote[156].end 2902.83471875
transcript.pyannote[157].speaker SPEAKER_21
transcript.pyannote[157].start 2903.47596875
transcript.pyannote[157].end 2910.83346875
transcript.pyannote[158].speaker SPEAKER_05
transcript.pyannote[158].start 2911.23846875
transcript.pyannote[158].end 2913.33096875
transcript.pyannote[159].speaker SPEAKER_21
transcript.pyannote[159].start 2913.48284375
transcript.pyannote[159].end 2920.48596875
transcript.pyannote[160].speaker SPEAKER_21
transcript.pyannote[160].start 2920.89096875
transcript.pyannote[160].end 2932.83846875
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 2932.48409375
transcript.pyannote[161].end 2938.08659375
transcript.pyannote[162].speaker SPEAKER_21
transcript.pyannote[162].start 2938.17096875
transcript.pyannote[162].end 2949.59534375
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 2942.15346875
transcript.pyannote[163].end 2942.59221875
transcript.pyannote[164].speaker SPEAKER_21
transcript.pyannote[164].start 2949.84846875
transcript.pyannote[164].end 2955.43409375
transcript.pyannote[165].speaker SPEAKER_21
transcript.pyannote[165].start 2955.94034375
transcript.pyannote[165].end 2968.02284375
transcript.pyannote[166].speaker SPEAKER_21
transcript.pyannote[166].start 2968.34346875
transcript.pyannote[166].end 2970.01409375
transcript.pyannote[167].speaker SPEAKER_21
transcript.pyannote[167].start 2970.21659375
transcript.pyannote[167].end 2988.05346875
transcript.pyannote[168].speaker SPEAKER_21
transcript.pyannote[168].start 2988.88034375
transcript.pyannote[168].end 3005.16471875
transcript.pyannote[169].speaker SPEAKER_21
transcript.pyannote[169].start 3005.53596875
transcript.pyannote[169].end 3008.94471875
transcript.pyannote[170].speaker SPEAKER_21
transcript.pyannote[170].start 3009.73784375
transcript.pyannote[170].end 3010.48034375
transcript.pyannote[171].speaker SPEAKER_21
transcript.pyannote[171].start 3010.88534375
transcript.pyannote[171].end 3011.18909375
transcript.pyannote[172].speaker SPEAKER_21
transcript.pyannote[172].start 3011.76284375
transcript.pyannote[172].end 3015.82971875
transcript.pyannote[173].speaker SPEAKER_35
transcript.pyannote[173].start 3016.96034375
transcript.pyannote[173].end 3018.20909375
transcript.pyannote[174].speaker SPEAKER_21
transcript.pyannote[174].start 3018.20909375
transcript.pyannote[174].end 3023.03534375
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 3023.03534375
transcript.pyannote[175].end 3023.92971875
transcript.pyannote[176].speaker SPEAKER_21
transcript.pyannote[176].start 3023.92971875
transcript.pyannote[176].end 3026.34284375
transcript.pyannote[177].speaker SPEAKER_05
transcript.pyannote[177].start 3023.94659375
transcript.pyannote[177].end 3032.97471875
transcript.pyannote[178].speaker SPEAKER_21
transcript.pyannote[178].start 3032.97471875
transcript.pyannote[178].end 3052.95471875
transcript.pyannote[179].speaker SPEAKER_21
transcript.pyannote[179].start 3054.45659375
transcript.pyannote[179].end 3054.86159375
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 3055.21596875
transcript.pyannote[180].end 3056.21159375
transcript.pyannote[181].speaker SPEAKER_21
transcript.pyannote[181].start 3056.49846875
transcript.pyannote[181].end 3062.33721875
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 3056.65034375
transcript.pyannote[182].end 3059.70471875
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 3062.55659375
transcript.pyannote[183].end 3062.72534375
transcript.pyannote[184].speaker SPEAKER_29
transcript.pyannote[184].start 3063.11346875
transcript.pyannote[184].end 3063.51846875
transcript.pyannote[185].speaker SPEAKER_21
transcript.pyannote[185].start 3063.51846875
transcript.pyannote[185].end 3064.24409375
transcript.pyannote[186].speaker SPEAKER_29
transcript.pyannote[186].start 3065.07096875
transcript.pyannote[186].end 3066.06659375
transcript.pyannote[187].speaker SPEAKER_21
transcript.pyannote[187].start 3066.25221875
transcript.pyannote[187].end 3066.53909375
transcript.pyannote[188].speaker SPEAKER_29
transcript.pyannote[188].start 3066.64034375
transcript.pyannote[188].end 3066.91034375
transcript.pyannote[189].speaker SPEAKER_29
transcript.pyannote[189].start 3067.31534375
transcript.pyannote[189].end 3068.14221875
transcript.pyannote[190].speaker SPEAKER_29
transcript.pyannote[190].start 3068.69909375
transcript.pyannote[190].end 3072.05721875
transcript.pyannote[191].speaker SPEAKER_21
transcript.pyannote[191].start 3071.26409375
transcript.pyannote[191].end 3075.66846875
transcript.pyannote[192].speaker SPEAKER_21
transcript.pyannote[192].start 3077.32221875
transcript.pyannote[192].end 3086.72159375
transcript.pyannote[193].speaker SPEAKER_21
transcript.pyannote[193].start 3087.31221875
transcript.pyannote[193].end 3088.81409375
transcript.pyannote[194].speaker SPEAKER_21
transcript.pyannote[194].start 3090.21471875
transcript.pyannote[194].end 3091.22721875
transcript.pyannote[195].speaker SPEAKER_35
transcript.pyannote[195].start 3091.39596875
transcript.pyannote[195].end 3091.71659375
transcript.pyannote[196].speaker SPEAKER_21
transcript.pyannote[196].start 3092.56034375
transcript.pyannote[196].end 3092.81346875
transcript.pyannote[197].speaker SPEAKER_21
transcript.pyannote[197].start 3094.53471875
transcript.pyannote[197].end 3106.87034375
transcript.pyannote[198].speaker SPEAKER_21
transcript.pyannote[198].start 3107.88284375
transcript.pyannote[198].end 3113.87346875
transcript.pyannote[199].speaker SPEAKER_29
transcript.pyannote[199].start 3114.26159375
transcript.pyannote[199].end 3125.06159375
transcript.pyannote[200].speaker SPEAKER_21
transcript.pyannote[200].start 3124.08284375
transcript.pyannote[200].end 3124.94346875
transcript.pyannote[201].speaker SPEAKER_21
transcript.pyannote[201].start 3125.98971875
transcript.pyannote[201].end 3126.02346875
transcript.pyannote[202].speaker SPEAKER_21
transcript.pyannote[202].start 3126.27659375
transcript.pyannote[202].end 3137.63346875
transcript.pyannote[203].speaker SPEAKER_29
transcript.pyannote[203].start 3129.66846875
transcript.pyannote[203].end 3130.25909375
transcript.pyannote[204].speaker SPEAKER_29
transcript.pyannote[204].start 3138.08909375
transcript.pyannote[204].end 3144.33284375
transcript.pyannote[205].speaker SPEAKER_21
transcript.pyannote[205].start 3143.82659375
transcript.pyannote[205].end 3144.87284375
transcript.pyannote[206].speaker SPEAKER_21
transcript.pyannote[206].start 3145.36221875
transcript.pyannote[206].end 3145.86846875
transcript.pyannote[207].speaker SPEAKER_29
transcript.pyannote[207].start 3145.48034375
transcript.pyannote[207].end 3149.83409375
transcript.pyannote[208].speaker SPEAKER_21
transcript.pyannote[208].start 3148.72034375
transcript.pyannote[208].end 3152.97284375
transcript.pyannote[209].speaker SPEAKER_29
transcript.pyannote[209].start 3152.68596875
transcript.pyannote[209].end 3153.05721875
transcript.pyannote[210].speaker SPEAKER_29
transcript.pyannote[210].start 3153.34409375
transcript.pyannote[210].end 3159.46971875
transcript.pyannote[211].speaker SPEAKER_21
transcript.pyannote[211].start 3158.87909375
transcript.pyannote[211].end 3174.47159375
transcript.pyannote[212].speaker SPEAKER_21
transcript.pyannote[212].start 3175.31534375
transcript.pyannote[212].end 3178.21784375
transcript.pyannote[213].speaker SPEAKER_29
transcript.pyannote[213].start 3177.10409375
transcript.pyannote[213].end 3179.70284375
transcript.pyannote[214].speaker SPEAKER_21
transcript.pyannote[214].start 3178.96034375
transcript.pyannote[214].end 3186.18284375
transcript.pyannote[215].speaker SPEAKER_21
transcript.pyannote[215].start 3186.38534375
transcript.pyannote[215].end 3195.09284375
transcript.pyannote[216].speaker SPEAKER_21
transcript.pyannote[216].start 3195.58221875
transcript.pyannote[216].end 3202.41659375
transcript.pyannote[217].speaker SPEAKER_21
transcript.pyannote[217].start 3203.24346875
transcript.pyannote[217].end 3204.20534375
transcript.pyannote[218].speaker SPEAKER_21
transcript.pyannote[218].start 3205.26846875
transcript.pyannote[218].end 3214.63409375
transcript.pyannote[219].speaker SPEAKER_21
transcript.pyannote[219].start 3214.98846875
transcript.pyannote[219].end 3229.87221875
transcript.pyannote[220].speaker SPEAKER_29
transcript.pyannote[220].start 3230.02409375
transcript.pyannote[220].end 3252.13034375
transcript.pyannote[221].speaker SPEAKER_21
transcript.pyannote[221].start 3249.66659375
transcript.pyannote[221].end 3252.16409375
transcript.pyannote[222].speaker SPEAKER_21
transcript.pyannote[222].start 3252.75471875
transcript.pyannote[222].end 3258.12096875
transcript.pyannote[223].speaker SPEAKER_21
transcript.pyannote[223].start 3259.25159375
transcript.pyannote[223].end 3263.70659375
transcript.pyannote[224].speaker SPEAKER_21
transcript.pyannote[224].start 3264.22971875
transcript.pyannote[224].end 3270.38909375
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 3270.28784375
transcript.pyannote[225].end 3278.43846875
transcript.pyannote[226].speaker SPEAKER_09
transcript.pyannote[226].start 3278.72534375
transcript.pyannote[226].end 3279.50159375
transcript.pyannote[227].speaker SPEAKER_26
transcript.pyannote[227].start 3282.99471875
transcript.pyannote[227].end 3284.71596875
transcript.pyannote[228].speaker SPEAKER_26
transcript.pyannote[228].start 3286.82534375
transcript.pyannote[228].end 3288.83346875
transcript.pyannote[229].speaker SPEAKER_22
transcript.pyannote[229].start 3296.49471875
transcript.pyannote[229].end 3297.37221875
transcript.pyannote[230].speaker SPEAKER_22
transcript.pyannote[230].start 3297.82784375
transcript.pyannote[230].end 3299.07659375
transcript.pyannote[231].speaker SPEAKER_26
transcript.pyannote[231].start 3299.39721875
transcript.pyannote[231].end 3300.27471875
transcript.pyannote[232].speaker SPEAKER_22
transcript.pyannote[232].start 3300.27471875
transcript.pyannote[232].end 3302.83971875
transcript.pyannote[233].speaker SPEAKER_26
transcript.pyannote[233].start 3302.95784375
transcript.pyannote[233].end 3304.74659375
transcript.pyannote[234].speaker SPEAKER_22
transcript.pyannote[234].start 3303.07596875
transcript.pyannote[234].end 3303.75096875
transcript.pyannote[235].speaker SPEAKER_22
transcript.pyannote[235].start 3304.15596875
transcript.pyannote[235].end 3305.05034375
transcript.pyannote[236].speaker SPEAKER_22
transcript.pyannote[236].start 3305.86034375
transcript.pyannote[236].end 3306.58596875
transcript.pyannote[237].speaker SPEAKER_05
transcript.pyannote[237].start 3306.58596875
transcript.pyannote[237].end 3306.63659375
transcript.pyannote[238].speaker SPEAKER_26
transcript.pyannote[238].start 3307.00784375
transcript.pyannote[238].end 3308.79659375
transcript.pyannote[239].speaker SPEAKER_05
transcript.pyannote[239].start 3307.07534375
transcript.pyannote[239].end 3307.14284375
transcript.pyannote[240].speaker SPEAKER_22
transcript.pyannote[240].start 3307.14284375
transcript.pyannote[240].end 3307.81784375
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 3307.81784375
transcript.pyannote[241].end 3307.91909375
transcript.pyannote[242].speaker SPEAKER_05
transcript.pyannote[242].start 3308.08784375
transcript.pyannote[242].end 3308.12159375
transcript.pyannote[243].speaker SPEAKER_22
transcript.pyannote[243].start 3308.12159375
transcript.pyannote[243].end 3308.27346875
transcript.pyannote[244].speaker SPEAKER_05
transcript.pyannote[244].start 3308.27346875
transcript.pyannote[244].end 3308.39159375
transcript.pyannote[245].speaker SPEAKER_22
transcript.pyannote[245].start 3308.39159375
transcript.pyannote[245].end 3308.79659375
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 3308.79659375
transcript.pyannote[246].end 3308.83034375
transcript.pyannote[247].speaker SPEAKER_05
transcript.pyannote[247].start 3311.86784375
transcript.pyannote[247].end 3312.03659375
transcript.pyannote[248].speaker SPEAKER_22
transcript.pyannote[248].start 3312.03659375
transcript.pyannote[248].end 3312.61034375
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 3313.67346875
transcript.pyannote[249].end 3313.70721875
transcript.pyannote[250].speaker SPEAKER_22
transcript.pyannote[250].start 3313.70721875
transcript.pyannote[250].end 3314.28096875
transcript.pyannote[251].speaker SPEAKER_22
transcript.pyannote[251].start 3314.51721875
transcript.pyannote[251].end 3315.04034375
transcript.pyannote[252].speaker SPEAKER_22
transcript.pyannote[252].start 3315.42846875
transcript.pyannote[252].end 3316.03596875
transcript.pyannote[253].speaker SPEAKER_22
transcript.pyannote[253].start 3316.62659375
transcript.pyannote[253].end 3319.86659375
transcript.pyannote[254].speaker SPEAKER_22
transcript.pyannote[254].start 3320.18721875
transcript.pyannote[254].end 3323.15721875
transcript.pyannote[255].speaker SPEAKER_22
transcript.pyannote[255].start 3323.44409375
transcript.pyannote[255].end 3324.22034375
transcript.pyannote[256].speaker SPEAKER_22
transcript.pyannote[256].start 3324.64221875
transcript.pyannote[256].end 3330.49784375
transcript.pyannote[257].speaker SPEAKER_22
transcript.pyannote[257].start 3330.97034375
transcript.pyannote[257].end 3333.88971875
transcript.pyannote[258].speaker SPEAKER_22
transcript.pyannote[258].start 3334.48034375
transcript.pyannote[258].end 3336.50534375
transcript.pyannote[259].speaker SPEAKER_22
transcript.pyannote[259].start 3336.85971875
transcript.pyannote[259].end 3340.52159375
transcript.pyannote[260].speaker SPEAKER_22
transcript.pyannote[260].start 3340.92659375
transcript.pyannote[260].end 3341.44971875
transcript.pyannote[261].speaker SPEAKER_22
transcript.pyannote[261].start 3341.83784375
transcript.pyannote[261].end 3342.98534375
transcript.pyannote[262].speaker SPEAKER_22
transcript.pyannote[262].start 3343.57596875
transcript.pyannote[262].end 3344.70659375
transcript.pyannote[263].speaker SPEAKER_22
transcript.pyannote[263].start 3345.12846875
transcript.pyannote[263].end 3346.54596875
transcript.pyannote[264].speaker SPEAKER_22
transcript.pyannote[264].start 3347.22096875
transcript.pyannote[264].end 3348.36846875
transcript.pyannote[265].speaker SPEAKER_22
transcript.pyannote[265].start 3348.73971875
transcript.pyannote[265].end 3352.35096875
transcript.pyannote[266].speaker SPEAKER_22
transcript.pyannote[266].start 3352.72221875
transcript.pyannote[266].end 3363.30284375
transcript.pyannote[267].speaker SPEAKER_22
transcript.pyannote[267].start 3363.89346875
transcript.pyannote[267].end 3366.55971875
transcript.pyannote[268].speaker SPEAKER_22
transcript.pyannote[268].start 3367.16721875
transcript.pyannote[268].end 3381.78096875
transcript.pyannote[269].speaker SPEAKER_22
transcript.pyannote[269].start 3382.42221875
transcript.pyannote[269].end 3383.80596875
transcript.pyannote[270].speaker SPEAKER_22
transcript.pyannote[270].start 3384.24471875
transcript.pyannote[270].end 3385.37534375
transcript.pyannote[271].speaker SPEAKER_22
transcript.pyannote[271].start 3385.76346875
transcript.pyannote[271].end 3394.57221875
transcript.pyannote[272].speaker SPEAKER_22
transcript.pyannote[272].start 3394.72409375
transcript.pyannote[272].end 3395.97284375
transcript.pyannote[273].speaker SPEAKER_22
transcript.pyannote[273].start 3397.25534375
transcript.pyannote[273].end 3399.31409375
transcript.pyannote[274].speaker SPEAKER_22
transcript.pyannote[274].start 3399.78659375
transcript.pyannote[274].end 3400.30971875
transcript.pyannote[275].speaker SPEAKER_22
transcript.pyannote[275].start 3401.23784375
transcript.pyannote[275].end 3402.72284375
transcript.pyannote[276].speaker SPEAKER_22
transcript.pyannote[276].start 3403.16159375
transcript.pyannote[276].end 3405.77721875
transcript.pyannote[277].speaker SPEAKER_22
transcript.pyannote[277].start 3406.58721875
transcript.pyannote[277].end 3407.21159375
transcript.pyannote[278].speaker SPEAKER_22
transcript.pyannote[278].start 3407.65034375
transcript.pyannote[278].end 3408.47721875
transcript.pyannote[279].speaker SPEAKER_22
transcript.pyannote[279].start 3408.84846875
transcript.pyannote[279].end 3410.92409375
transcript.pyannote[280].speaker SPEAKER_22
transcript.pyannote[280].start 3412.37534375
transcript.pyannote[280].end 3414.18096875
transcript.pyannote[281].speaker SPEAKER_05
transcript.pyannote[281].start 3414.18096875
transcript.pyannote[281].end 3415.12596875
transcript.pyannote[282].speaker SPEAKER_05
transcript.pyannote[282].start 3415.98659375
transcript.pyannote[282].end 3417.20159375
transcript.pyannote[283].speaker SPEAKER_05
transcript.pyannote[283].start 3417.31971875
transcript.pyannote[283].end 3417.69096875
transcript.pyannote[284].speaker SPEAKER_29
transcript.pyannote[284].start 3420.64409375
transcript.pyannote[284].end 3421.63971875
transcript.pyannote[285].speaker SPEAKER_22
transcript.pyannote[285].start 3421.35284375
transcript.pyannote[285].end 3424.10346875
transcript.pyannote[286].speaker SPEAKER_22
transcript.pyannote[286].start 3424.13721875
transcript.pyannote[286].end 3427.42784375
transcript.pyannote[287].speaker SPEAKER_29
transcript.pyannote[287].start 3427.95096875
transcript.pyannote[287].end 3450.51284375
transcript.pyannote[288].speaker SPEAKER_22
transcript.pyannote[288].start 3434.71784375
transcript.pyannote[288].end 3437.29971875
transcript.pyannote[289].speaker SPEAKER_22
transcript.pyannote[289].start 3450.79971875
transcript.pyannote[289].end 3452.09909375
transcript.pyannote[290].speaker SPEAKER_22
transcript.pyannote[290].start 3452.67284375
transcript.pyannote[290].end 3454.34346875
transcript.pyannote[291].speaker SPEAKER_22
transcript.pyannote[291].start 3454.76534375
transcript.pyannote[291].end 3455.96346875
transcript.pyannote[292].speaker SPEAKER_07
transcript.pyannote[292].start 3457.26284375
transcript.pyannote[292].end 3459.37221875
transcript.pyannote[293].speaker SPEAKER_07
transcript.pyannote[293].start 3459.70971875
transcript.pyannote[293].end 3465.27846875
transcript.pyannote[294].speaker SPEAKER_22
transcript.pyannote[294].start 3460.78971875
transcript.pyannote[294].end 3461.44784375
transcript.pyannote[295].speaker SPEAKER_22
transcript.pyannote[295].start 3462.79784375
transcript.pyannote[295].end 3464.97471875
transcript.pyannote[296].speaker SPEAKER_35
transcript.pyannote[296].start 3464.97471875
transcript.pyannote[296].end 3465.00846875
transcript.pyannote[297].speaker SPEAKER_07
transcript.pyannote[297].start 3465.56534375
transcript.pyannote[297].end 3480.51659375
transcript.pyannote[298].speaker SPEAKER_22
transcript.pyannote[298].start 3480.01034375
transcript.pyannote[298].end 3488.56596875
transcript.pyannote[299].speaker SPEAKER_07
transcript.pyannote[299].start 3488.71784375
transcript.pyannote[299].end 3489.07221875
transcript.pyannote[300].speaker SPEAKER_07
transcript.pyannote[300].start 3489.27471875
transcript.pyannote[300].end 3500.95221875
transcript.pyannote[301].speaker SPEAKER_22
transcript.pyannote[301].start 3499.65284375
transcript.pyannote[301].end 3500.47971875
transcript.pyannote[302].speaker SPEAKER_07
transcript.pyannote[302].start 3500.98596875
transcript.pyannote[302].end 3501.00284375
transcript.pyannote[303].speaker SPEAKER_22
transcript.pyannote[303].start 3501.00284375
transcript.pyannote[303].end 3501.01971875
transcript.pyannote[304].speaker SPEAKER_07
transcript.pyannote[304].start 3501.01971875
transcript.pyannote[304].end 3501.96471875
transcript.pyannote[305].speaker SPEAKER_22
transcript.pyannote[305].start 3501.96471875
transcript.pyannote[305].end 3502.35284375
transcript.pyannote[306].speaker SPEAKER_22
transcript.pyannote[306].start 3502.92659375
transcript.pyannote[306].end 3503.82096875
transcript.pyannote[307].speaker SPEAKER_22
transcript.pyannote[307].start 3505.13721875
transcript.pyannote[307].end 3506.85846875
transcript.pyannote[308].speaker SPEAKER_22
transcript.pyannote[308].start 3507.17909375
transcript.pyannote[308].end 3508.05659375
transcript.pyannote[309].speaker SPEAKER_22
transcript.pyannote[309].start 3508.73159375
transcript.pyannote[309].end 3510.03096875
transcript.pyannote[310].speaker SPEAKER_22
transcript.pyannote[310].start 3510.90846875
transcript.pyannote[310].end 3512.29221875
transcript.pyannote[311].speaker SPEAKER_22
transcript.pyannote[311].start 3513.54096875
transcript.pyannote[311].end 3519.97034375
transcript.pyannote[312].speaker SPEAKER_22
transcript.pyannote[312].start 3520.91534375
transcript.pyannote[312].end 3533.23409375
transcript.pyannote[313].speaker SPEAKER_22
transcript.pyannote[313].start 3533.77409375
transcript.pyannote[313].end 3534.93846875
transcript.pyannote[314].speaker SPEAKER_22
transcript.pyannote[314].start 3535.02284375
transcript.pyannote[314].end 3542.97096875
transcript.pyannote[315].speaker SPEAKER_22
transcript.pyannote[315].start 3543.71346875
transcript.pyannote[315].end 3546.59909375
transcript.pyannote[316].speaker SPEAKER_22
transcript.pyannote[316].start 3546.76784375
transcript.pyannote[316].end 3549.13034375
transcript.pyannote[317].speaker SPEAKER_22
transcript.pyannote[317].start 3549.60284375
transcript.pyannote[317].end 3557.82096875
transcript.pyannote[318].speaker SPEAKER_22
transcript.pyannote[318].start 3557.97284375
transcript.pyannote[318].end 3562.59659375
transcript.pyannote[319].speaker SPEAKER_22
transcript.pyannote[319].start 3563.11971875
transcript.pyannote[319].end 3581.51346875
transcript.pyannote[320].speaker SPEAKER_22
transcript.pyannote[320].start 3581.68221875
transcript.pyannote[320].end 3591.53721875
transcript.pyannote[321].speaker SPEAKER_22
transcript.pyannote[321].start 3591.80721875
transcript.pyannote[321].end 3609.42471875
transcript.pyannote[322].speaker SPEAKER_22
transcript.pyannote[322].start 3609.94784375
transcript.pyannote[322].end 3619.65096875
transcript.pyannote[323].speaker SPEAKER_22
transcript.pyannote[323].start 3619.75221875
transcript.pyannote[323].end 3629.42159375
transcript.pyannote[324].speaker SPEAKER_22
transcript.pyannote[324].start 3630.31596875
transcript.pyannote[324].end 3632.18909375
transcript.pyannote[325].speaker SPEAKER_22
transcript.pyannote[325].start 3632.45909375
transcript.pyannote[325].end 3633.72471875
transcript.pyannote[326].speaker SPEAKER_22
transcript.pyannote[326].start 3633.97784375
transcript.pyannote[326].end 3638.88846875
transcript.pyannote[327].speaker SPEAKER_22
transcript.pyannote[327].start 3639.63096875
transcript.pyannote[327].end 3641.11596875
transcript.pyannote[328].speaker SPEAKER_22
transcript.pyannote[328].start 3641.48721875
transcript.pyannote[328].end 3654.10971875
transcript.pyannote[329].speaker SPEAKER_22
transcript.pyannote[329].start 3654.97034375
transcript.pyannote[329].end 3657.09659375
transcript.pyannote[330].speaker SPEAKER_22
transcript.pyannote[330].start 3657.90659375
transcript.pyannote[330].end 3658.41284375
transcript.pyannote[331].speaker SPEAKER_22
transcript.pyannote[331].start 3658.58159375
transcript.pyannote[331].end 3660.57284375
transcript.pyannote[332].speaker SPEAKER_05
transcript.pyannote[332].start 3660.57284375
transcript.pyannote[332].end 3663.12096875
transcript.pyannote[333].speaker SPEAKER_05
transcript.pyannote[333].start 3663.44159375
transcript.pyannote[333].end 3665.16284375
transcript.pyannote[334].speaker SPEAKER_07
transcript.pyannote[334].start 3665.16284375
transcript.pyannote[334].end 3677.92034375
transcript.pyannote[335].speaker SPEAKER_22
transcript.pyannote[335].start 3675.77721875
transcript.pyannote[335].end 3709.79721875
transcript.pyannote[336].speaker SPEAKER_22
transcript.pyannote[336].start 3709.96596875
transcript.pyannote[336].end 3726.04784375
transcript.pyannote[337].speaker SPEAKER_22
transcript.pyannote[337].start 3726.48659375
transcript.pyannote[337].end 3735.64971875
transcript.pyannote[338].speaker SPEAKER_22
transcript.pyannote[338].start 3735.66659375
transcript.pyannote[338].end 3736.86471875
transcript.pyannote[339].speaker SPEAKER_22
transcript.pyannote[339].start 3737.77596875
transcript.pyannote[339].end 3746.02784375
transcript.pyannote[340].speaker SPEAKER_05
transcript.pyannote[340].start 3746.02784375
transcript.pyannote[340].end 3746.33159375
transcript.pyannote[341].speaker SPEAKER_05
transcript.pyannote[341].start 3746.93909375
transcript.pyannote[341].end 3751.25909375
transcript.pyannote[342].speaker SPEAKER_22
transcript.pyannote[342].start 3746.97284375
transcript.pyannote[342].end 3748.01909375
transcript.pyannote[343].speaker SPEAKER_31
transcript.pyannote[343].start 3750.93846875
transcript.pyannote[343].end 3750.95534375
transcript.pyannote[344].speaker SPEAKER_07
transcript.pyannote[344].start 3750.95534375
transcript.pyannote[344].end 3751.02284375
transcript.pyannote[345].speaker SPEAKER_31
transcript.pyannote[345].start 3751.02284375
transcript.pyannote[345].end 3751.19159375
transcript.pyannote[346].speaker SPEAKER_07
transcript.pyannote[346].start 3751.19159375
transcript.pyannote[346].end 3751.74846875
transcript.pyannote[347].speaker SPEAKER_05
transcript.pyannote[347].start 3751.74846875
transcript.pyannote[347].end 3752.86221875
transcript.pyannote[348].speaker SPEAKER_07
transcript.pyannote[348].start 3751.76534375
transcript.pyannote[348].end 3751.81596875
transcript.pyannote[349].speaker SPEAKER_31
transcript.pyannote[349].start 3751.81596875
transcript.pyannote[349].end 3752.89596875
transcript.pyannote[350].speaker SPEAKER_07
transcript.pyannote[350].start 3752.86221875
transcript.pyannote[350].end 3752.91284375
transcript.pyannote[351].speaker SPEAKER_05
transcript.pyannote[351].start 3752.89596875
transcript.pyannote[351].end 3752.92971875
transcript.pyannote[352].speaker SPEAKER_07
transcript.pyannote[352].start 3752.92971875
transcript.pyannote[352].end 3753.79034375
transcript.pyannote[353].speaker SPEAKER_05
transcript.pyannote[353].start 3753.40221875
transcript.pyannote[353].end 3753.45284375
transcript.pyannote[354].speaker SPEAKER_31
transcript.pyannote[354].start 3753.45284375
transcript.pyannote[354].end 3763.52721875
transcript.pyannote[355].speaker SPEAKER_05
transcript.pyannote[355].start 3753.79034375
transcript.pyannote[355].end 3753.80721875
transcript.pyannote[356].speaker SPEAKER_31
transcript.pyannote[356].start 3763.94909375
transcript.pyannote[356].end 3764.64096875
transcript.pyannote[357].speaker SPEAKER_31
transcript.pyannote[357].start 3764.96159375
transcript.pyannote[357].end 3767.34096875
transcript.pyannote[358].speaker SPEAKER_22
transcript.pyannote[358].start 3765.48471875
transcript.pyannote[358].end 3766.42971875
transcript.pyannote[359].speaker SPEAKER_31
transcript.pyannote[359].start 3767.50971875
transcript.pyannote[359].end 3768.08346875
transcript.pyannote[360].speaker SPEAKER_22
transcript.pyannote[360].start 3768.08346875
transcript.pyannote[360].end 3768.11721875
transcript.pyannote[361].speaker SPEAKER_31
transcript.pyannote[361].start 3768.11721875
transcript.pyannote[361].end 3768.21846875
transcript.pyannote[362].speaker SPEAKER_22
transcript.pyannote[362].start 3768.21846875
transcript.pyannote[362].end 3768.31971875
transcript.pyannote[363].speaker SPEAKER_31
transcript.pyannote[363].start 3768.31971875
transcript.pyannote[363].end 3768.37034375
transcript.pyannote[364].speaker SPEAKER_22
transcript.pyannote[364].start 3768.37034375
transcript.pyannote[364].end 3768.65721875
transcript.pyannote[365].speaker SPEAKER_31
transcript.pyannote[365].start 3768.65721875
transcript.pyannote[365].end 3768.70784375
transcript.pyannote[366].speaker SPEAKER_22
transcript.pyannote[366].start 3768.70784375
transcript.pyannote[366].end 3768.77534375
transcript.pyannote[367].speaker SPEAKER_31
transcript.pyannote[367].start 3768.77534375
transcript.pyannote[367].end 3768.80909375
transcript.pyannote[368].speaker SPEAKER_22
transcript.pyannote[368].start 3768.80909375
transcript.pyannote[368].end 3768.85971875
transcript.pyannote[369].speaker SPEAKER_31
transcript.pyannote[369].start 3768.85971875
transcript.pyannote[369].end 3768.94409375
transcript.pyannote[370].speaker SPEAKER_22
transcript.pyannote[370].start 3768.94409375
transcript.pyannote[370].end 3769.06221875
transcript.pyannote[371].speaker SPEAKER_31
transcript.pyannote[371].start 3769.06221875
transcript.pyannote[371].end 3769.12971875
transcript.pyannote[372].speaker SPEAKER_22
transcript.pyannote[372].start 3769.12971875
transcript.pyannote[372].end 3769.78784375
transcript.pyannote[373].speaker SPEAKER_31
transcript.pyannote[373].start 3769.18034375
transcript.pyannote[373].end 3769.80471875
transcript.pyannote[374].speaker SPEAKER_22
transcript.pyannote[374].start 3769.80471875
transcript.pyannote[374].end 3771.67784375
transcript.pyannote[375].speaker SPEAKER_31
transcript.pyannote[375].start 3770.32784375
transcript.pyannote[375].end 3784.19909375
transcript.pyannote[376].speaker SPEAKER_22
transcript.pyannote[376].start 3774.88409375
transcript.pyannote[376].end 3775.94721875
transcript.pyannote[377].speaker SPEAKER_22
transcript.pyannote[377].start 3776.77409375
transcript.pyannote[377].end 3778.88346875
transcript.pyannote[378].speaker SPEAKER_22
transcript.pyannote[378].start 3781.85346875
transcript.pyannote[378].end 3796.50096875
transcript.pyannote[379].speaker SPEAKER_05
transcript.pyannote[379].start 3796.50096875
transcript.pyannote[379].end 3803.35221875
transcript.pyannote[380].speaker SPEAKER_22
transcript.pyannote[380].start 3799.20096875
transcript.pyannote[380].end 3801.05721875
transcript.pyannote[381].speaker SPEAKER_22
transcript.pyannote[381].start 3801.19221875
transcript.pyannote[381].end 3801.91784375
transcript.pyannote[382].speaker SPEAKER_22
transcript.pyannote[382].start 3803.35221875
transcript.pyannote[382].end 3809.52846875
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 3810.08534375
transcript.pyannote[383].end 3810.10221875
transcript.pyannote[384].speaker SPEAKER_35
transcript.pyannote[384].start 3810.10221875
transcript.pyannote[384].end 3810.25409375
transcript.pyannote[385].speaker SPEAKER_22
transcript.pyannote[385].start 3810.25409375
transcript.pyannote[385].end 3817.20659375
transcript.pyannote[386].speaker SPEAKER_05
transcript.pyannote[386].start 3810.27096875
transcript.pyannote[386].end 3810.43971875
transcript.pyannote[387].speaker SPEAKER_35
transcript.pyannote[387].start 3810.43971875
transcript.pyannote[387].end 3810.50721875
transcript.pyannote[388].speaker SPEAKER_35
transcript.pyannote[388].start 3810.54096875
transcript.pyannote[388].end 3810.59159375
transcript.pyannote[389].speaker SPEAKER_05
transcript.pyannote[389].start 3810.59159375
transcript.pyannote[389].end 3810.72659375
transcript.pyannote[390].speaker SPEAKER_35
transcript.pyannote[390].start 3810.72659375
transcript.pyannote[390].end 3810.79409375
transcript.pyannote[391].speaker SPEAKER_22
transcript.pyannote[391].start 3817.76346875
transcript.pyannote[391].end 3830.04846875
transcript.pyannote[392].speaker SPEAKER_00
transcript.pyannote[392].start 3828.96846875
transcript.pyannote[392].end 3828.98534375
transcript.pyannote[393].speaker SPEAKER_35
transcript.pyannote[393].start 3828.98534375
transcript.pyannote[393].end 3829.13721875
transcript.pyannote[394].speaker SPEAKER_00
transcript.pyannote[394].start 3829.13721875
transcript.pyannote[394].end 3829.15409375
transcript.pyannote[395].speaker SPEAKER_22
transcript.pyannote[395].start 3830.50409375
transcript.pyannote[395].end 3833.87909375
transcript.pyannote[396].speaker SPEAKER_22
transcript.pyannote[396].start 3834.11534375
transcript.pyannote[396].end 3834.57096875
transcript.pyannote[397].speaker SPEAKER_22
transcript.pyannote[397].start 3835.73534375
transcript.pyannote[397].end 3837.47346875
transcript.pyannote[398].speaker SPEAKER_22
transcript.pyannote[398].start 3838.58721875
transcript.pyannote[398].end 3839.44784375
transcript.pyannote[399].speaker SPEAKER_22
transcript.pyannote[399].start 3840.91596875
transcript.pyannote[399].end 3842.28284375
transcript.pyannote[400].speaker SPEAKER_22
transcript.pyannote[400].start 3843.48096875
transcript.pyannote[400].end 3843.49784375
transcript.pyannote[401].speaker SPEAKER_05
transcript.pyannote[401].start 3843.49784375
transcript.pyannote[401].end 3844.15596875
transcript.pyannote[402].speaker SPEAKER_05
transcript.pyannote[402].start 3844.86471875
transcript.pyannote[402].end 3847.42971875
transcript.pyannote[403].speaker SPEAKER_22
transcript.pyannote[403].start 3847.07534375
transcript.pyannote[403].end 3848.76284375
transcript.pyannote[404].speaker SPEAKER_22
transcript.pyannote[404].start 3849.35346875
transcript.pyannote[404].end 3860.65971875
transcript.pyannote[405].speaker SPEAKER_35
transcript.pyannote[405].start 3859.10721875
transcript.pyannote[405].end 3859.46159375
transcript.pyannote[406].speaker SPEAKER_35
transcript.pyannote[406].start 3860.84534375
transcript.pyannote[406].end 3861.40221875
transcript.pyannote[407].speaker SPEAKER_22
transcript.pyannote[407].start 3860.99721875
transcript.pyannote[407].end 3868.52346875
transcript.pyannote[408].speaker SPEAKER_22
transcript.pyannote[408].start 3868.79346875
transcript.pyannote[408].end 3878.95221875
transcript.pyannote[409].speaker SPEAKER_22
transcript.pyannote[409].start 3879.34034375
transcript.pyannote[409].end 3897.97034375
transcript.pyannote[410].speaker SPEAKER_00
transcript.pyannote[410].start 3892.60409375
transcript.pyannote[410].end 3892.75596875
transcript.pyannote[411].speaker SPEAKER_07
transcript.pyannote[411].start 3892.75596875
transcript.pyannote[411].end 3893.12721875
transcript.pyannote[412].speaker SPEAKER_00
transcript.pyannote[412].start 3893.12721875
transcript.pyannote[412].end 3893.17784375
transcript.pyannote[413].speaker SPEAKER_07
transcript.pyannote[413].start 3893.81909375
transcript.pyannote[413].end 3893.93721875
transcript.pyannote[414].speaker SPEAKER_05
transcript.pyannote[414].start 3893.93721875
transcript.pyannote[414].end 3894.02159375
transcript.pyannote[415].speaker SPEAKER_07
transcript.pyannote[415].start 3894.02159375
transcript.pyannote[415].end 3894.27471875
transcript.pyannote[416].speaker SPEAKER_00
transcript.pyannote[416].start 3894.86534375
transcript.pyannote[416].end 3894.88221875
transcript.pyannote[417].speaker SPEAKER_07
transcript.pyannote[417].start 3894.88221875
transcript.pyannote[417].end 3894.98346875
transcript.pyannote[418].speaker SPEAKER_05
transcript.pyannote[418].start 3894.98346875
transcript.pyannote[418].end 3895.20284375
transcript.pyannote[419].speaker SPEAKER_07
transcript.pyannote[419].start 3895.20284375
transcript.pyannote[419].end 3895.35471875
transcript.pyannote[420].speaker SPEAKER_07
transcript.pyannote[420].start 3896.87346875
transcript.pyannote[420].end 3896.89034375
transcript.pyannote[421].speaker SPEAKER_05
transcript.pyannote[421].start 3896.89034375
transcript.pyannote[421].end 3897.43034375
transcript.pyannote[422].speaker SPEAKER_07
transcript.pyannote[422].start 3897.43034375
transcript.pyannote[422].end 3897.49784375
transcript.pyannote[423].speaker SPEAKER_22
transcript.pyannote[423].start 3898.49346875
transcript.pyannote[423].end 3899.55659375
transcript.pyannote[424].speaker SPEAKER_22
transcript.pyannote[424].start 3900.13034375
transcript.pyannote[424].end 3900.82221875
transcript.pyannote[425].speaker SPEAKER_22
transcript.pyannote[425].start 3901.32846875
transcript.pyannote[425].end 3903.45471875
transcript.pyannote[426].speaker SPEAKER_22
transcript.pyannote[426].start 3903.58971875
transcript.pyannote[426].end 3905.53034375
transcript.pyannote[427].speaker SPEAKER_22
transcript.pyannote[427].start 3906.28971875
transcript.pyannote[427].end 3910.67721875
transcript.pyannote[428].speaker SPEAKER_22
transcript.pyannote[428].start 3910.87971875
transcript.pyannote[428].end 3912.19596875
transcript.pyannote[429].speaker SPEAKER_22
transcript.pyannote[429].start 3912.95534375
transcript.pyannote[429].end 3923.60346875
transcript.pyannote[430].speaker SPEAKER_05
transcript.pyannote[430].start 3923.60346875
transcript.pyannote[430].end 3929.07096875
transcript.pyannote[431].speaker SPEAKER_22
transcript.pyannote[431].start 3928.19346875
transcript.pyannote[431].end 3929.12159375
transcript.pyannote[432].speaker SPEAKER_05
transcript.pyannote[432].start 3929.12159375
transcript.pyannote[432].end 3929.96534375
transcript.pyannote[433].speaker SPEAKER_22
transcript.pyannote[433].start 3929.96534375
transcript.pyannote[433].end 3942.99284375
transcript.pyannote[434].speaker SPEAKER_05
transcript.pyannote[434].start 3933.55971875
transcript.pyannote[434].end 3933.88034375
transcript.pyannote[435].speaker SPEAKER_00
transcript.pyannote[435].start 3935.63534375
transcript.pyannote[435].end 3935.77034375
transcript.pyannote[436].speaker SPEAKER_35
transcript.pyannote[436].start 3935.77034375
transcript.pyannote[436].end 3936.20909375
transcript.pyannote[437].speaker SPEAKER_35
transcript.pyannote[437].start 3942.99284375
transcript.pyannote[437].end 3943.11096875
transcript.pyannote[438].speaker SPEAKER_22
transcript.pyannote[438].start 3943.11096875
transcript.pyannote[438].end 3956.25659375
transcript.pyannote[439].speaker SPEAKER_35
transcript.pyannote[439].start 3946.73909375
transcript.pyannote[439].end 3947.48159375
transcript.pyannote[440].speaker SPEAKER_05
transcript.pyannote[440].start 3947.48159375
transcript.pyannote[440].end 3947.49846875
transcript.pyannote[441].speaker SPEAKER_26
transcript.pyannote[441].start 3957.03284375
transcript.pyannote[441].end 3958.48409375
transcript.pyannote[442].speaker SPEAKER_26
transcript.pyannote[442].start 3960.81284375
transcript.pyannote[442].end 3962.88846875
transcript.pyannote[443].speaker SPEAKER_02
transcript.pyannote[443].start 3970.41471875
transcript.pyannote[443].end 3977.60346875
transcript.pyannote[444].speaker SPEAKER_26
transcript.pyannote[444].start 3976.75971875
transcript.pyannote[444].end 3976.77659375
transcript.pyannote[445].speaker SPEAKER_25
transcript.pyannote[445].start 3976.77659375
transcript.pyannote[445].end 3978.78471875
transcript.pyannote[446].speaker SPEAKER_02
transcript.pyannote[446].start 3979.89846875
transcript.pyannote[446].end 3980.57346875
transcript.pyannote[447].speaker SPEAKER_02
transcript.pyannote[447].start 3980.89409375
transcript.pyannote[447].end 4013.68221875
transcript.pyannote[448].speaker SPEAKER_02
transcript.pyannote[448].start 4014.01971875
transcript.pyannote[448].end 4024.06034375
transcript.pyannote[449].speaker SPEAKER_02
transcript.pyannote[449].start 4024.43159375
transcript.pyannote[449].end 4042.38659375
transcript.pyannote[450].speaker SPEAKER_02
transcript.pyannote[450].start 4043.14596875
transcript.pyannote[450].end 4048.02284375
transcript.pyannote[451].speaker SPEAKER_05
transcript.pyannote[451].start 4048.02284375
transcript.pyannote[451].end 4065.75846875
transcript.pyannote[452].speaker SPEAKER_05
transcript.pyannote[452].start 4065.99471875
transcript.pyannote[452].end 4080.96284375
transcript.pyannote[453].speaker SPEAKER_02
transcript.pyannote[453].start 4080.96284375
transcript.pyannote[453].end 4082.93721875
transcript.pyannote[454].speaker SPEAKER_02
transcript.pyannote[454].start 4083.07221875
transcript.pyannote[454].end 4086.71721875
transcript.pyannote[455].speaker SPEAKER_02
transcript.pyannote[455].start 4086.97034375
transcript.pyannote[455].end 4108.13159375
transcript.pyannote[456].speaker SPEAKER_00
transcript.pyannote[456].start 4096.87596875
transcript.pyannote[456].end 4097.04471875
transcript.pyannote[457].speaker SPEAKER_35
transcript.pyannote[457].start 4097.04471875
transcript.pyannote[457].end 4097.50034375
transcript.pyannote[458].speaker SPEAKER_35
transcript.pyannote[458].start 4108.16534375
transcript.pyannote[458].end 4108.48596875
transcript.pyannote[459].speaker SPEAKER_02
transcript.pyannote[459].start 4108.40159375
transcript.pyannote[459].end 4112.92409375
transcript.pyannote[460].speaker SPEAKER_03
transcript.pyannote[460].start 4113.59909375
transcript.pyannote[460].end 4129.25909375
transcript.pyannote[461].speaker SPEAKER_03
transcript.pyannote[461].start 4129.36034375
transcript.pyannote[461].end 4133.32596875
transcript.pyannote[462].speaker SPEAKER_02
transcript.pyannote[462].start 4131.85784375
transcript.pyannote[462].end 4183.95096875
transcript.pyannote[463].speaker SPEAKER_02
transcript.pyannote[463].start 4184.57534375
transcript.pyannote[463].end 4191.94971875
transcript.pyannote[464].speaker SPEAKER_02
transcript.pyannote[464].start 4192.65846875
transcript.pyannote[464].end 4196.06721875
transcript.pyannote[465].speaker SPEAKER_02
transcript.pyannote[465].start 4196.69159375
transcript.pyannote[465].end 4198.51409375
transcript.pyannote[466].speaker SPEAKER_02
transcript.pyannote[466].start 4198.69971875
transcript.pyannote[466].end 4202.80034375
transcript.pyannote[467].speaker SPEAKER_03
transcript.pyannote[467].start 4204.18409375
transcript.pyannote[467].end 4207.69409375
transcript.pyannote[468].speaker SPEAKER_03
transcript.pyannote[468].start 4208.08221875
transcript.pyannote[468].end 4215.42284375
transcript.pyannote[469].speaker SPEAKER_03
transcript.pyannote[469].start 4215.60846875
transcript.pyannote[469].end 4224.73784375
transcript.pyannote[470].speaker SPEAKER_03
transcript.pyannote[470].start 4225.27784375
transcript.pyannote[470].end 4225.29471875
transcript.pyannote[471].speaker SPEAKER_02
transcript.pyannote[471].start 4225.29471875
transcript.pyannote[471].end 4230.52596875
transcript.pyannote[472].speaker SPEAKER_02
transcript.pyannote[472].start 4230.96471875
transcript.pyannote[472].end 4234.22159375
transcript.pyannote[473].speaker SPEAKER_02
transcript.pyannote[473].start 4235.50409375
transcript.pyannote[473].end 4236.61784375
transcript.pyannote[474].speaker SPEAKER_02
transcript.pyannote[474].start 4236.97221875
transcript.pyannote[474].end 4244.44784375
transcript.pyannote[475].speaker SPEAKER_02
transcript.pyannote[475].start 4244.93721875
transcript.pyannote[475].end 4271.19471875
transcript.pyannote[476].speaker SPEAKER_02
transcript.pyannote[476].start 4271.63346875
transcript.pyannote[476].end 4275.37971875
transcript.pyannote[477].speaker SPEAKER_02
transcript.pyannote[477].start 4276.32471875
transcript.pyannote[477].end 4290.98909375
transcript.pyannote[478].speaker SPEAKER_02
transcript.pyannote[478].start 4291.30971875
transcript.pyannote[478].end 4294.53284375
transcript.pyannote[479].speaker SPEAKER_02
transcript.pyannote[479].start 4294.97159375
transcript.pyannote[479].end 4295.32596875
transcript.pyannote[480].speaker SPEAKER_02
transcript.pyannote[480].start 4295.39346875
transcript.pyannote[480].end 4296.54096875
transcript.pyannote[481].speaker SPEAKER_02
transcript.pyannote[481].start 4296.92909375
transcript.pyannote[481].end 4305.50159375
transcript.pyannote[482].speaker SPEAKER_03
transcript.pyannote[482].start 4308.74159375
transcript.pyannote[482].end 4319.67659375
transcript.pyannote[483].speaker SPEAKER_02
transcript.pyannote[483].start 4318.54596875
transcript.pyannote[483].end 4331.53971875
transcript.pyannote[484].speaker SPEAKER_03
transcript.pyannote[484].start 4320.55409375
transcript.pyannote[484].end 4320.65534375
transcript.pyannote[485].speaker SPEAKER_02
transcript.pyannote[485].start 4331.91096875
transcript.pyannote[485].end 4345.36034375
transcript.pyannote[486].speaker SPEAKER_02
transcript.pyannote[486].start 4345.49534375
transcript.pyannote[486].end 4348.24596875
transcript.pyannote[487].speaker SPEAKER_02
transcript.pyannote[487].start 4348.71846875
transcript.pyannote[487].end 4400.98034375
transcript.pyannote[488].speaker SPEAKER_05
transcript.pyannote[488].start 4349.03909375
transcript.pyannote[488].end 4349.57909375
transcript.pyannote[489].speaker SPEAKER_35
transcript.pyannote[489].start 4350.97971875
transcript.pyannote[489].end 4351.01346875
transcript.pyannote[490].speaker SPEAKER_05
transcript.pyannote[490].start 4351.01346875
transcript.pyannote[490].end 4351.09784375
transcript.pyannote[491].speaker SPEAKER_35
transcript.pyannote[491].start 4351.09784375
transcript.pyannote[491].end 4351.18221875
transcript.pyannote[492].speaker SPEAKER_05
transcript.pyannote[492].start 4351.18221875
transcript.pyannote[492].end 4351.24971875
transcript.pyannote[493].speaker SPEAKER_35
transcript.pyannote[493].start 4351.24971875
transcript.pyannote[493].end 4351.26659375
transcript.pyannote[494].speaker SPEAKER_05
transcript.pyannote[494].start 4400.98034375
transcript.pyannote[494].end 4411.35846875
transcript.pyannote[495].speaker SPEAKER_02
transcript.pyannote[495].start 4411.62846875
transcript.pyannote[495].end 4456.39784375
transcript.pyannote[496].speaker SPEAKER_02
transcript.pyannote[496].start 4456.49909375
transcript.pyannote[496].end 4457.05596875
transcript.pyannote[497].speaker SPEAKER_35
transcript.pyannote[497].start 4457.51159375
transcript.pyannote[497].end 4458.03471875
transcript.pyannote[498].speaker SPEAKER_02
transcript.pyannote[498].start 4457.71409375
transcript.pyannote[498].end 4463.48534375
transcript.pyannote[499].speaker SPEAKER_02
transcript.pyannote[499].start 4463.73846875
transcript.pyannote[499].end 4466.20221875
transcript.pyannote[500].speaker SPEAKER_02
transcript.pyannote[500].start 4466.75909375
transcript.pyannote[500].end 4467.61971875
transcript.pyannote[501].speaker SPEAKER_02
transcript.pyannote[501].start 4467.95721875
transcript.pyannote[501].end 4483.00971875
transcript.pyannote[502].speaker SPEAKER_02
transcript.pyannote[502].start 4484.29221875
transcript.pyannote[502].end 4491.48096875
transcript.pyannote[503].speaker SPEAKER_02
transcript.pyannote[503].start 4492.20659375
transcript.pyannote[503].end 4507.81596875
transcript.pyannote[504].speaker SPEAKER_02
transcript.pyannote[504].start 4508.15346875
transcript.pyannote[504].end 4508.69346875
transcript.pyannote[505].speaker SPEAKER_02
transcript.pyannote[505].start 4509.38534375
transcript.pyannote[505].end 4513.80659375
transcript.pyannote[506].speaker SPEAKER_02
transcript.pyannote[506].start 4514.68409375
transcript.pyannote[506].end 4517.55284375
transcript.pyannote[507].speaker SPEAKER_02
transcript.pyannote[507].start 4518.85221875
transcript.pyannote[507].end 4523.62784375
transcript.pyannote[508].speaker SPEAKER_05
transcript.pyannote[508].start 4523.81346875
transcript.pyannote[508].end 4529.55096875
transcript.pyannote[509].speaker SPEAKER_02
transcript.pyannote[509].start 4529.14596875
transcript.pyannote[509].end 4529.48346875
transcript.pyannote[510].speaker SPEAKER_02
transcript.pyannote[510].start 4529.55096875
transcript.pyannote[510].end 4530.73221875
transcript.pyannote[511].speaker SPEAKER_05
transcript.pyannote[511].start 4530.73221875
transcript.pyannote[511].end 4530.78284375
transcript.pyannote[512].speaker SPEAKER_02
transcript.pyannote[512].start 4530.78284375
transcript.pyannote[512].end 4531.49159375
transcript.pyannote[513].speaker SPEAKER_05
transcript.pyannote[513].start 4531.49159375
transcript.pyannote[513].end 4533.51659375
transcript.pyannote[514].speaker SPEAKER_02
transcript.pyannote[514].start 4531.59284375
transcript.pyannote[514].end 4534.91721875
transcript.pyannote[515].speaker SPEAKER_05
transcript.pyannote[515].start 4534.91721875
transcript.pyannote[515].end 4540.67159375
transcript.pyannote[516].speaker SPEAKER_02
transcript.pyannote[516].start 4535.03534375
transcript.pyannote[516].end 4535.76096875
transcript.pyannote[517].speaker SPEAKER_35
transcript.pyannote[517].start 4540.67159375
transcript.pyannote[517].end 4540.77284375
transcript.pyannote[518].speaker SPEAKER_05
transcript.pyannote[518].start 4540.77284375
transcript.pyannote[518].end 4541.17784375
transcript.pyannote[519].speaker SPEAKER_02
transcript.pyannote[519].start 4540.80659375
transcript.pyannote[519].end 4541.26221875
transcript.pyannote[520].speaker SPEAKER_05
transcript.pyannote[520].start 4541.26221875
transcript.pyannote[520].end 4541.97096875
transcript.pyannote[521].speaker SPEAKER_02
transcript.pyannote[521].start 4541.97096875
transcript.pyannote[521].end 4557.46221875
transcript.pyannote[522].speaker SPEAKER_02
transcript.pyannote[522].start 4557.61409375
transcript.pyannote[522].end 4559.85846875
transcript.pyannote[523].speaker SPEAKER_02
transcript.pyannote[523].start 4559.97659375
transcript.pyannote[523].end 4574.64096875
transcript.pyannote[524].speaker SPEAKER_02
transcript.pyannote[524].start 4575.02909375
transcript.pyannote[524].end 4580.69909375
transcript.pyannote[525].speaker SPEAKER_05
transcript.pyannote[525].start 4581.37409375
transcript.pyannote[525].end 4581.39096875
transcript.pyannote[526].speaker SPEAKER_02
transcript.pyannote[526].start 4581.39096875
transcript.pyannote[526].end 4588.05659375
transcript.pyannote[527].speaker SPEAKER_05
transcript.pyannote[527].start 4583.31471875
transcript.pyannote[527].end 4585.20471875
transcript.pyannote[528].speaker SPEAKER_05
transcript.pyannote[528].start 4587.06096875
transcript.pyannote[528].end 4589.01846875
transcript.pyannote[529].speaker SPEAKER_02
transcript.pyannote[529].start 4588.90034375
transcript.pyannote[529].end 4592.30909375
transcript.pyannote[530].speaker SPEAKER_02
transcript.pyannote[530].start 4592.62971875
transcript.pyannote[530].end 4594.89096875
transcript.pyannote[531].speaker SPEAKER_02
transcript.pyannote[531].start 4595.14409375
transcript.pyannote[531].end 4601.55659375
transcript.pyannote[532].speaker SPEAKER_05
transcript.pyannote[532].start 4601.55659375
transcript.pyannote[532].end 4607.05784375
transcript.pyannote[533].speaker SPEAKER_05
transcript.pyannote[533].start 4607.20971875
transcript.pyannote[533].end 4622.95409375
transcript.pyannote[534].speaker SPEAKER_05
transcript.pyannote[534].start 4623.02159375
transcript.pyannote[534].end 4642.25909375
transcript.pyannote[535].speaker SPEAKER_26
transcript.pyannote[535].start 4642.96784375
transcript.pyannote[535].end 4644.48659375
transcript.pyannote[536].speaker SPEAKER_26
transcript.pyannote[536].start 4646.19096875
transcript.pyannote[536].end 4648.78971875
transcript.pyannote[537].speaker SPEAKER_14
transcript.pyannote[537].start 4655.08409375
transcript.pyannote[537].end 4658.49284375
transcript.pyannote[538].speaker SPEAKER_26
transcript.pyannote[538].start 4658.76284375
transcript.pyannote[538].end 4659.67409375
transcript.pyannote[539].speaker SPEAKER_05
transcript.pyannote[539].start 4665.76596875
transcript.pyannote[539].end 4666.23846875
transcript.pyannote[540].speaker SPEAKER_14
transcript.pyannote[540].start 4666.55909375
transcript.pyannote[540].end 4667.45346875
transcript.pyannote[541].speaker SPEAKER_14
transcript.pyannote[541].start 4668.02721875
transcript.pyannote[541].end 4669.83284375
transcript.pyannote[542].speaker SPEAKER_14
transcript.pyannote[542].start 4670.18721875
transcript.pyannote[542].end 4675.67159375
transcript.pyannote[543].speaker SPEAKER_14
transcript.pyannote[543].start 4676.27909375
transcript.pyannote[543].end 4676.63346875
transcript.pyannote[544].speaker SPEAKER_14
transcript.pyannote[544].start 4677.19034375
transcript.pyannote[544].end 4678.13534375
transcript.pyannote[545].speaker SPEAKER_14
transcript.pyannote[545].start 4678.20284375
transcript.pyannote[545].end 4679.90721875
transcript.pyannote[546].speaker SPEAKER_14
transcript.pyannote[546].start 4680.12659375
transcript.pyannote[546].end 4684.05846875
transcript.pyannote[547].speaker SPEAKER_14
transcript.pyannote[547].start 4684.41284375
transcript.pyannote[547].end 4687.19721875
transcript.pyannote[548].speaker SPEAKER_14
transcript.pyannote[548].start 4687.26471875
transcript.pyannote[548].end 4695.33096875
transcript.pyannote[549].speaker SPEAKER_14
transcript.pyannote[549].start 4695.95534375
transcript.pyannote[549].end 4699.07721875
transcript.pyannote[550].speaker SPEAKER_14
transcript.pyannote[550].start 4699.65096875
transcript.pyannote[550].end 4701.28784375
transcript.pyannote[551].speaker SPEAKER_14
transcript.pyannote[551].start 4701.70971875
transcript.pyannote[551].end 4702.77284375
transcript.pyannote[552].speaker SPEAKER_14
transcript.pyannote[552].start 4703.70096875
transcript.pyannote[552].end 4706.06346875
transcript.pyannote[553].speaker SPEAKER_14
transcript.pyannote[553].start 4706.99159375
transcript.pyannote[553].end 4716.50909375
transcript.pyannote[554].speaker SPEAKER_14
transcript.pyannote[554].start 4717.77471875
transcript.pyannote[554].end 4718.87159375
transcript.pyannote[555].speaker SPEAKER_14
transcript.pyannote[555].start 4719.36096875
transcript.pyannote[555].end 4721.94284375
transcript.pyannote[556].speaker SPEAKER_14
transcript.pyannote[556].start 4722.63471875
transcript.pyannote[556].end 4724.05221875
transcript.pyannote[557].speaker SPEAKER_14
transcript.pyannote[557].start 4724.22096875
transcript.pyannote[557].end 4726.97159375
transcript.pyannote[558].speaker SPEAKER_14
transcript.pyannote[558].start 4727.44409375
transcript.pyannote[558].end 4728.16971875
transcript.pyannote[559].speaker SPEAKER_14
transcript.pyannote[559].start 4728.55784375
transcript.pyannote[559].end 4734.71721875
transcript.pyannote[560].speaker SPEAKER_14
transcript.pyannote[560].start 4735.91534375
transcript.pyannote[560].end 4738.07534375
transcript.pyannote[561].speaker SPEAKER_05
transcript.pyannote[561].start 4738.71659375
transcript.pyannote[561].end 4739.39159375
transcript.pyannote[562].speaker SPEAKER_14
transcript.pyannote[562].start 4739.39159375
transcript.pyannote[562].end 4739.64471875
transcript.pyannote[563].speaker SPEAKER_05
transcript.pyannote[563].start 4739.64471875
transcript.pyannote[563].end 4739.69534375
transcript.pyannote[564].speaker SPEAKER_14
transcript.pyannote[564].start 4739.69534375
transcript.pyannote[564].end 4739.72909375
transcript.pyannote[565].speaker SPEAKER_05
transcript.pyannote[565].start 4739.72909375
transcript.pyannote[565].end 4739.77971875
transcript.pyannote[566].speaker SPEAKER_14
transcript.pyannote[566].start 4739.77971875
transcript.pyannote[566].end 4739.79659375
transcript.pyannote[567].speaker SPEAKER_05
transcript.pyannote[567].start 4739.79659375
transcript.pyannote[567].end 4739.96534375
transcript.pyannote[568].speaker SPEAKER_14
transcript.pyannote[568].start 4739.96534375
transcript.pyannote[568].end 4742.24346875
transcript.pyannote[569].speaker SPEAKER_05
transcript.pyannote[569].start 4741.65284375
transcript.pyannote[569].end 4742.02409375
transcript.pyannote[570].speaker SPEAKER_35
transcript.pyannote[570].start 4742.02409375
transcript.pyannote[570].end 4742.10846875
transcript.pyannote[571].speaker SPEAKER_35
transcript.pyannote[571].start 4742.20971875
transcript.pyannote[571].end 4742.22659375
transcript.pyannote[572].speaker SPEAKER_35
transcript.pyannote[572].start 4742.24346875
transcript.pyannote[572].end 4742.76659375
transcript.pyannote[573].speaker SPEAKER_14
transcript.pyannote[573].start 4742.76659375
transcript.pyannote[573].end 4750.49534375
transcript.pyannote[574].speaker SPEAKER_14
transcript.pyannote[574].start 4750.81596875
transcript.pyannote[574].end 4755.16971875
transcript.pyannote[575].speaker SPEAKER_14
transcript.pyannote[575].start 4755.77721875
transcript.pyannote[575].end 4761.07596875
transcript.pyannote[576].speaker SPEAKER_14
transcript.pyannote[576].start 4761.46409375
transcript.pyannote[576].end 4764.51846875
transcript.pyannote[577].speaker SPEAKER_14
transcript.pyannote[577].start 4765.34534375
transcript.pyannote[577].end 4771.26846875
transcript.pyannote[578].speaker SPEAKER_14
transcript.pyannote[578].start 4771.52159375
transcript.pyannote[578].end 4774.47471875
transcript.pyannote[579].speaker SPEAKER_14
transcript.pyannote[579].start 4775.08221875
transcript.pyannote[579].end 4778.42346875
transcript.pyannote[580].speaker SPEAKER_14
transcript.pyannote[580].start 4778.91284375
transcript.pyannote[580].end 4779.80721875
transcript.pyannote[581].speaker SPEAKER_14
transcript.pyannote[581].start 4780.39784375
transcript.pyannote[581].end 4782.59159375
transcript.pyannote[582].speaker SPEAKER_14
transcript.pyannote[582].start 4783.33409375
transcript.pyannote[582].end 4784.71784375
transcript.pyannote[583].speaker SPEAKER_14
transcript.pyannote[583].start 4785.29159375
transcript.pyannote[583].end 4786.15221875
transcript.pyannote[584].speaker SPEAKER_14
transcript.pyannote[584].start 4787.72159375
transcript.pyannote[584].end 4788.95346875
transcript.pyannote[585].speaker SPEAKER_14
transcript.pyannote[585].start 4789.18971875
transcript.pyannote[585].end 4790.15159375
transcript.pyannote[586].speaker SPEAKER_14
transcript.pyannote[586].start 4791.19784375
transcript.pyannote[586].end 4791.99096875
transcript.pyannote[587].speaker SPEAKER_14
transcript.pyannote[587].start 4792.14284375
transcript.pyannote[587].end 4794.52221875
transcript.pyannote[588].speaker SPEAKER_14
transcript.pyannote[588].start 4795.19721875
transcript.pyannote[588].end 4796.10846875
transcript.pyannote[589].speaker SPEAKER_14
transcript.pyannote[589].start 4797.00284375
transcript.pyannote[589].end 4799.44971875
transcript.pyannote[590].speaker SPEAKER_14
transcript.pyannote[590].start 4799.80409375
transcript.pyannote[590].end 4807.16159375
transcript.pyannote[591].speaker SPEAKER_14
transcript.pyannote[591].start 4808.35971875
transcript.pyannote[591].end 4810.04721875
transcript.pyannote[592].speaker SPEAKER_14
transcript.pyannote[592].start 4810.92471875
transcript.pyannote[592].end 4817.79284375
transcript.pyannote[593].speaker SPEAKER_14
transcript.pyannote[593].start 4818.09659375
transcript.pyannote[593].end 4819.09221875
transcript.pyannote[594].speaker SPEAKER_14
transcript.pyannote[594].start 4819.39596875
transcript.pyannote[594].end 4820.89784375
transcript.pyannote[595].speaker SPEAKER_14
transcript.pyannote[595].start 4821.79221875
transcript.pyannote[595].end 4823.00721875
transcript.pyannote[596].speaker SPEAKER_14
transcript.pyannote[596].start 4824.37409375
transcript.pyannote[596].end 4827.12471875
transcript.pyannote[597].speaker SPEAKER_14
transcript.pyannote[597].start 4827.71534375
transcript.pyannote[597].end 4829.68971875
transcript.pyannote[598].speaker SPEAKER_14
transcript.pyannote[598].start 4830.31409375
transcript.pyannote[598].end 4831.47846875
transcript.pyannote[599].speaker SPEAKER_14
transcript.pyannote[599].start 4831.93409375
transcript.pyannote[599].end 4832.52471875
transcript.pyannote[600].speaker SPEAKER_14
transcript.pyannote[600].start 4832.76096875
transcript.pyannote[600].end 4832.96346875
transcript.pyannote[601].speaker SPEAKER_14
transcript.pyannote[601].start 4833.19971875
transcript.pyannote[601].end 4834.65096875
transcript.pyannote[602].speaker SPEAKER_14
transcript.pyannote[602].start 4835.34284375
transcript.pyannote[602].end 4837.36784375
transcript.pyannote[603].speaker SPEAKER_14
transcript.pyannote[603].start 4837.40159375
transcript.pyannote[603].end 4839.24096875
transcript.pyannote[604].speaker SPEAKER_14
transcript.pyannote[604].start 4840.08471875
transcript.pyannote[604].end 4846.31159375
transcript.pyannote[605].speaker SPEAKER_14
transcript.pyannote[605].start 4846.64909375
transcript.pyannote[605].end 4848.31971875
transcript.pyannote[606].speaker SPEAKER_14
transcript.pyannote[606].start 4848.80909375
transcript.pyannote[606].end 4850.26034375
transcript.pyannote[607].speaker SPEAKER_14
transcript.pyannote[607].start 4850.80034375
transcript.pyannote[607].end 4852.20096875
transcript.pyannote[608].speaker SPEAKER_14
transcript.pyannote[608].start 4852.38659375
transcript.pyannote[608].end 4857.92159375
transcript.pyannote[609].speaker SPEAKER_14
transcript.pyannote[609].start 4858.15784375
transcript.pyannote[609].end 4861.51596875
transcript.pyannote[610].speaker SPEAKER_14
transcript.pyannote[610].start 4862.15721875
transcript.pyannote[610].end 4864.21596875
transcript.pyannote[611].speaker SPEAKER_14
transcript.pyannote[611].start 4864.63784375
transcript.pyannote[611].end 4866.84846875
transcript.pyannote[612].speaker SPEAKER_14
transcript.pyannote[612].start 4867.18596875
transcript.pyannote[612].end 4871.65784375
transcript.pyannote[613].speaker SPEAKER_14
transcript.pyannote[613].start 4872.18096875
transcript.pyannote[613].end 4873.14284375
transcript.pyannote[614].speaker SPEAKER_14
transcript.pyannote[614].start 4873.59846875
transcript.pyannote[614].end 4874.79659375
transcript.pyannote[615].speaker SPEAKER_14
transcript.pyannote[615].start 4875.57284375
transcript.pyannote[615].end 4878.28971875
transcript.pyannote[616].speaker SPEAKER_14
transcript.pyannote[616].start 4878.71159375
transcript.pyannote[616].end 4880.38221875
transcript.pyannote[617].speaker SPEAKER_14
transcript.pyannote[617].start 4881.07409375
transcript.pyannote[617].end 4884.39846875
transcript.pyannote[618].speaker SPEAKER_14
transcript.pyannote[618].start 4885.30971875
transcript.pyannote[618].end 4887.03096875
transcript.pyannote[619].speaker SPEAKER_05
transcript.pyannote[619].start 4887.79034375
transcript.pyannote[619].end 4888.53284375
transcript.pyannote[620].speaker SPEAKER_05
transcript.pyannote[620].start 4888.85346875
transcript.pyannote[620].end 4927.34534375
transcript.pyannote[621].speaker SPEAKER_14
transcript.pyannote[621].start 4928.02034375
transcript.pyannote[621].end 4931.10846875
transcript.pyannote[622].speaker SPEAKER_14
transcript.pyannote[622].start 4931.37846875
transcript.pyannote[622].end 4934.83784375
transcript.pyannote[623].speaker SPEAKER_14
transcript.pyannote[623].start 4935.20909375
transcript.pyannote[623].end 4939.09034375
transcript.pyannote[624].speaker SPEAKER_14
transcript.pyannote[624].start 4939.36034375
transcript.pyannote[624].end 4940.82846875
transcript.pyannote[625].speaker SPEAKER_14
transcript.pyannote[625].start 4940.96346875
transcript.pyannote[625].end 4940.98034375
transcript.pyannote[626].speaker SPEAKER_14
transcript.pyannote[626].start 4941.11534375
transcript.pyannote[626].end 4950.34596875
transcript.pyannote[627].speaker SPEAKER_14
transcript.pyannote[627].start 4950.78471875
transcript.pyannote[627].end 4951.39221875
transcript.pyannote[628].speaker SPEAKER_14
transcript.pyannote[628].start 4951.83096875
transcript.pyannote[628].end 4955.71221875
transcript.pyannote[629].speaker SPEAKER_14
transcript.pyannote[629].start 4956.20159375
transcript.pyannote[629].end 4958.32784375
transcript.pyannote[630].speaker SPEAKER_14
transcript.pyannote[630].start 4958.51346875
transcript.pyannote[630].end 4960.82534375
transcript.pyannote[631].speaker SPEAKER_14
transcript.pyannote[631].start 4961.55096875
transcript.pyannote[631].end 4964.33534375
transcript.pyannote[632].speaker SPEAKER_14
transcript.pyannote[632].start 4964.89221875
transcript.pyannote[632].end 4971.28784375
transcript.pyannote[633].speaker SPEAKER_14
transcript.pyannote[633].start 4971.82784375
transcript.pyannote[633].end 4973.41409375
transcript.pyannote[634].speaker SPEAKER_14
transcript.pyannote[634].start 4974.05534375
transcript.pyannote[634].end 4985.58096875
transcript.pyannote[635].speaker SPEAKER_14
transcript.pyannote[635].start 4985.88471875
transcript.pyannote[635].end 4986.81284375
transcript.pyannote[636].speaker SPEAKER_14
transcript.pyannote[636].start 4986.86346875
transcript.pyannote[636].end 4989.85034375
transcript.pyannote[637].speaker SPEAKER_14
transcript.pyannote[637].start 4990.52534375
transcript.pyannote[637].end 5000.81909375
transcript.pyannote[638].speaker SPEAKER_14
transcript.pyannote[638].start 5001.19034375
transcript.pyannote[638].end 5003.60346875
transcript.pyannote[639].speaker SPEAKER_14
transcript.pyannote[639].start 5004.44721875
transcript.pyannote[639].end 5007.14721875
transcript.pyannote[640].speaker SPEAKER_14
transcript.pyannote[640].start 5007.58596875
transcript.pyannote[640].end 5010.06659375
transcript.pyannote[641].speaker SPEAKER_14
transcript.pyannote[641].start 5010.60659375
transcript.pyannote[641].end 5013.25596875
transcript.pyannote[642].speaker SPEAKER_14
transcript.pyannote[642].start 5013.96471875
transcript.pyannote[642].end 5015.02784375
transcript.pyannote[643].speaker SPEAKER_14
transcript.pyannote[643].start 5015.68596875
transcript.pyannote[643].end 5019.53346875
transcript.pyannote[644].speaker SPEAKER_14
transcript.pyannote[644].start 5020.19159375
transcript.pyannote[644].end 5021.92971875
transcript.pyannote[645].speaker SPEAKER_14
transcript.pyannote[645].start 5022.90846875
transcript.pyannote[645].end 5026.43534375
transcript.pyannote[646].speaker SPEAKER_14
transcript.pyannote[646].start 5026.99221875
transcript.pyannote[646].end 5032.34159375
transcript.pyannote[647].speaker SPEAKER_14
transcript.pyannote[647].start 5032.54409375
transcript.pyannote[647].end 5033.13471875
transcript.pyannote[648].speaker SPEAKER_14
transcript.pyannote[648].start 5033.30346875
transcript.pyannote[648].end 5037.99471875
transcript.pyannote[649].speaker SPEAKER_14
transcript.pyannote[649].start 5038.75409375
transcript.pyannote[649].end 5041.77471875
transcript.pyannote[650].speaker SPEAKER_14
transcript.pyannote[650].start 5042.70284375
transcript.pyannote[650].end 5056.18596875
transcript.pyannote[651].speaker SPEAKER_14
transcript.pyannote[651].start 5056.77659375
transcript.pyannote[651].end 5060.38784375
transcript.pyannote[652].speaker SPEAKER_14
transcript.pyannote[652].start 5060.77596875
transcript.pyannote[652].end 5062.75034375
transcript.pyannote[653].speaker SPEAKER_14
transcript.pyannote[653].start 5063.17221875
transcript.pyannote[653].end 5065.02846875
transcript.pyannote[654].speaker SPEAKER_14
transcript.pyannote[654].start 5066.15909375
transcript.pyannote[654].end 5067.23909375
transcript.pyannote[655].speaker SPEAKER_14
transcript.pyannote[655].start 5067.88034375
transcript.pyannote[655].end 5070.09096875
transcript.pyannote[656].speaker SPEAKER_14
transcript.pyannote[656].start 5070.98534375
transcript.pyannote[656].end 5082.25784375
transcript.pyannote[657].speaker SPEAKER_05
transcript.pyannote[657].start 5082.20721875
transcript.pyannote[657].end 5082.94971875
transcript.pyannote[658].speaker SPEAKER_14
transcript.pyannote[658].start 5082.40971875
transcript.pyannote[658].end 5084.56971875
transcript.pyannote[659].speaker SPEAKER_05
transcript.pyannote[659].start 5084.65409375
transcript.pyannote[659].end 5132.86596875
transcript.pyannote[660].speaker SPEAKER_14
transcript.pyannote[660].start 5133.16971875
transcript.pyannote[660].end 5142.02909375
transcript.pyannote[661].speaker SPEAKER_05
transcript.pyannote[661].start 5141.18534375
transcript.pyannote[661].end 5147.02409375
transcript.pyannote[662].speaker SPEAKER_14
transcript.pyannote[662].start 5147.02409375
transcript.pyannote[662].end 5152.49159375
transcript.pyannote[663].speaker SPEAKER_14
transcript.pyannote[663].start 5153.11596875
transcript.pyannote[663].end 5154.56721875
transcript.pyannote[664].speaker SPEAKER_05
transcript.pyannote[664].start 5154.56721875
transcript.pyannote[664].end 5155.44471875
transcript.pyannote[665].speaker SPEAKER_14
transcript.pyannote[665].start 5154.88784375
transcript.pyannote[665].end 5159.96721875
transcript.pyannote[666].speaker SPEAKER_05
transcript.pyannote[666].start 5159.96721875
transcript.pyannote[666].end 5161.23284375
transcript.pyannote[667].speaker SPEAKER_14
transcript.pyannote[667].start 5160.30471875
transcript.pyannote[667].end 5160.54096875
transcript.pyannote[668].speaker SPEAKER_14
transcript.pyannote[668].start 5160.72659375
transcript.pyannote[668].end 5162.36346875
transcript.pyannote[669].speaker SPEAKER_05
transcript.pyannote[669].start 5162.59971875
transcript.pyannote[669].end 5165.72159375
transcript.pyannote[670].speaker SPEAKER_14
transcript.pyannote[670].start 5162.61659375
transcript.pyannote[670].end 5163.12284375
transcript.pyannote[671].speaker SPEAKER_14
transcript.pyannote[671].start 5165.14784375
transcript.pyannote[671].end 5167.96596875
transcript.pyannote[672].speaker SPEAKER_14
transcript.pyannote[672].start 5168.25284375
transcript.pyannote[672].end 5170.61534375
transcript.pyannote[673].speaker SPEAKER_05
transcript.pyannote[673].start 5170.61534375
transcript.pyannote[673].end 5171.47596875
transcript.pyannote[674].speaker SPEAKER_14
transcript.pyannote[674].start 5170.86846875
transcript.pyannote[674].end 5174.32784375
transcript.pyannote[675].speaker SPEAKER_05
transcript.pyannote[675].start 5173.55159375
transcript.pyannote[675].end 5174.10846875
transcript.pyannote[676].speaker SPEAKER_14
transcript.pyannote[676].start 5174.53034375
transcript.pyannote[676].end 5175.03659375
transcript.pyannote[677].speaker SPEAKER_05
transcript.pyannote[677].start 5175.03659375
transcript.pyannote[677].end 5175.61034375
transcript.pyannote[678].speaker SPEAKER_14
transcript.pyannote[678].start 5176.26846875
transcript.pyannote[678].end 5176.28534375
transcript.pyannote[679].speaker SPEAKER_05
transcript.pyannote[679].start 5176.28534375
transcript.pyannote[679].end 5189.44784375
transcript.pyannote[680].speaker SPEAKER_14
transcript.pyannote[680].start 5177.16284375
transcript.pyannote[680].end 5178.74909375
transcript.pyannote[681].speaker SPEAKER_00
transcript.pyannote[681].start 5185.93784375
transcript.pyannote[681].end 5185.97159375
transcript.pyannote[682].speaker SPEAKER_14
transcript.pyannote[682].start 5185.97159375
transcript.pyannote[682].end 5186.96721875
transcript.pyannote[683].speaker SPEAKER_35
transcript.pyannote[683].start 5186.96721875
transcript.pyannote[683].end 5187.30471875
transcript.pyannote[684].speaker SPEAKER_00
transcript.pyannote[684].start 5187.30471875
transcript.pyannote[684].end 5187.33846875
transcript.pyannote[685].speaker SPEAKER_00
transcript.pyannote[685].start 5188.63784375
transcript.pyannote[685].end 5188.65471875
transcript.pyannote[686].speaker SPEAKER_35
transcript.pyannote[686].start 5188.65471875
transcript.pyannote[686].end 5189.27909375
transcript.pyannote[687].speaker SPEAKER_00
transcript.pyannote[687].start 5189.27909375
transcript.pyannote[687].end 5189.31284375
transcript.pyannote[688].speaker SPEAKER_05
transcript.pyannote[688].start 5189.63346875
transcript.pyannote[688].end 5226.72471875
transcript.pyannote[689].speaker SPEAKER_35
transcript.pyannote[689].start 5189.73471875
transcript.pyannote[689].end 5189.88659375
transcript.pyannote[690].speaker SPEAKER_00
transcript.pyannote[690].start 5189.88659375
transcript.pyannote[690].end 5189.93721875
transcript.pyannote[691].speaker SPEAKER_14
transcript.pyannote[691].start 5227.09596875
transcript.pyannote[691].end 5227.60221875
transcript.pyannote[692].speaker SPEAKER_14
transcript.pyannote[692].start 5228.10846875
transcript.pyannote[692].end 5230.35284375
transcript.pyannote[693].speaker SPEAKER_26
transcript.pyannote[693].start 5232.09096875
transcript.pyannote[693].end 5233.69409375
transcript.pyannote[694].speaker SPEAKER_26
transcript.pyannote[694].start 5235.07784375
transcript.pyannote[694].end 5236.90034375
transcript.pyannote[695].speaker SPEAKER_18
transcript.pyannote[695].start 5254.01159375
transcript.pyannote[695].end 5254.21409375
transcript.pyannote[696].speaker SPEAKER_18
transcript.pyannote[696].start 5254.95659375
transcript.pyannote[696].end 5256.49221875
transcript.pyannote[697].speaker SPEAKER_26
transcript.pyannote[697].start 5256.93096875
transcript.pyannote[697].end 5257.89284375
transcript.pyannote[698].speaker SPEAKER_05
transcript.pyannote[698].start 5263.91721875
transcript.pyannote[698].end 5264.62596875
transcript.pyannote[699].speaker SPEAKER_18
transcript.pyannote[699].start 5265.06471875
transcript.pyannote[699].end 5336.19284375
transcript.pyannote[700].speaker SPEAKER_05
transcript.pyannote[700].start 5336.66534375
transcript.pyannote[700].end 5341.86284375
transcript.pyannote[701].speaker SPEAKER_18
transcript.pyannote[701].start 5339.50034375
transcript.pyannote[701].end 5340.34409375
transcript.pyannote[702].speaker SPEAKER_18
transcript.pyannote[702].start 5341.86284375
transcript.pyannote[702].end 5353.30409375
transcript.pyannote[703].speaker SPEAKER_05
transcript.pyannote[703].start 5353.30409375
transcript.pyannote[703].end 5355.61596875
transcript.pyannote[704].speaker SPEAKER_18
transcript.pyannote[704].start 5353.48971875
transcript.pyannote[704].end 5353.75971875
transcript.pyannote[705].speaker SPEAKER_18
transcript.pyannote[705].start 5355.61596875
transcript.pyannote[705].end 5379.03846875
transcript.pyannote[706].speaker SPEAKER_05
transcript.pyannote[706].start 5379.19034375
transcript.pyannote[706].end 5415.72471875
transcript.pyannote[707].speaker SPEAKER_18
transcript.pyannote[707].start 5416.07909375
transcript.pyannote[707].end 5418.34034375
transcript.pyannote[708].speaker SPEAKER_18
transcript.pyannote[708].start 5418.81284375
transcript.pyannote[708].end 5418.98159375
transcript.pyannote[709].speaker SPEAKER_18
transcript.pyannote[709].start 5419.63971875
transcript.pyannote[709].end 5420.63534375
transcript.pyannote[710].speaker SPEAKER_18
transcript.pyannote[710].start 5420.98971875
transcript.pyannote[710].end 5435.87346875
transcript.pyannote[711].speaker SPEAKER_18
transcript.pyannote[711].start 5436.31221875
transcript.pyannote[711].end 5481.58784375
transcript.pyannote[712].speaker SPEAKER_05
transcript.pyannote[712].start 5480.10284375
transcript.pyannote[712].end 5480.99721875
transcript.pyannote[713].speaker SPEAKER_05
transcript.pyannote[713].start 5481.80721875
transcript.pyannote[713].end 5496.69096875
transcript.pyannote[714].speaker SPEAKER_18
transcript.pyannote[714].start 5496.69096875
transcript.pyannote[714].end 5504.50409375
transcript.pyannote[715].speaker SPEAKER_05
transcript.pyannote[715].start 5504.82471875
transcript.pyannote[715].end 5504.87534375
transcript.pyannote[716].speaker SPEAKER_05
transcript.pyannote[716].start 5505.90471875
transcript.pyannote[716].end 5506.41096875
transcript.pyannote[717].speaker SPEAKER_05
transcript.pyannote[717].start 5507.27159375
transcript.pyannote[717].end 5508.45284375
transcript.pyannote[718].speaker SPEAKER_18
transcript.pyannote[718].start 5508.92534375
transcript.pyannote[718].end 5585.74034375
transcript.pyannote[719].speaker SPEAKER_00
transcript.pyannote[719].start 5527.67346875
transcript.pyannote[719].end 5528.11221875
transcript.pyannote[720].speaker SPEAKER_00
transcript.pyannote[720].start 5549.74596875
transcript.pyannote[720].end 5549.77971875
transcript.pyannote[721].speaker SPEAKER_35
transcript.pyannote[721].start 5549.77971875
transcript.pyannote[721].end 5550.30284375
transcript.pyannote[722].speaker SPEAKER_35
transcript.pyannote[722].start 5552.20971875
transcript.pyannote[722].end 5552.29409375
transcript.pyannote[723].speaker SPEAKER_35
transcript.pyannote[723].start 5552.37846875
transcript.pyannote[723].end 5552.71596875
transcript.pyannote[724].speaker SPEAKER_35
transcript.pyannote[724].start 5582.75346875
transcript.pyannote[724].end 5583.00659375
transcript.pyannote[725].speaker SPEAKER_35
transcript.pyannote[725].start 5583.66471875
transcript.pyannote[725].end 5584.08659375
transcript.pyannote[726].speaker SPEAKER_18
transcript.pyannote[726].start 5586.60096875
transcript.pyannote[726].end 5624.43471875
transcript.pyannote[727].speaker SPEAKER_05
transcript.pyannote[727].start 5624.56971875
transcript.pyannote[727].end 5627.82659375
transcript.pyannote[728].speaker SPEAKER_18
transcript.pyannote[728].start 5628.78846875
transcript.pyannote[728].end 5647.75596875
transcript.pyannote[729].speaker SPEAKER_31
transcript.pyannote[729].start 5648.43096875
transcript.pyannote[729].end 5653.12221875
transcript.pyannote[730].speaker SPEAKER_18
transcript.pyannote[730].start 5652.85221875
transcript.pyannote[730].end 5655.40034375
transcript.pyannote[731].speaker SPEAKER_31
transcript.pyannote[731].start 5654.69159375
transcript.pyannote[731].end 5654.96159375
transcript.pyannote[732].speaker SPEAKER_31
transcript.pyannote[732].start 5655.38346875
transcript.pyannote[732].end 5670.58784375
transcript.pyannote[733].speaker SPEAKER_18
transcript.pyannote[733].start 5670.43596875
transcript.pyannote[733].end 5678.02971875
transcript.pyannote[734].speaker SPEAKER_31
transcript.pyannote[734].start 5678.02971875
transcript.pyannote[734].end 5694.63471875
transcript.pyannote[735].speaker SPEAKER_18
transcript.pyannote[735].start 5695.29284375
transcript.pyannote[735].end 5747.68971875
transcript.pyannote[736].speaker SPEAKER_35
transcript.pyannote[736].start 5747.97659375
transcript.pyannote[736].end 5748.46596875
transcript.pyannote[737].speaker SPEAKER_24
transcript.pyannote[737].start 5750.38971875
transcript.pyannote[737].end 5756.14409375
transcript.pyannote[738].speaker SPEAKER_26
transcript.pyannote[738].start 5763.45096875
transcript.pyannote[738].end 5768.93534375
transcript.pyannote[739].speaker SPEAKER_26
transcript.pyannote[739].start 5775.33096875
transcript.pyannote[739].end 5781.01784375
transcript.pyannote[740].speaker SPEAKER_26
transcript.pyannote[740].start 5781.33846875
transcript.pyannote[740].end 5824.30221875
transcript.pyannote[741].speaker SPEAKER_26
transcript.pyannote[741].start 5824.58909375
transcript.pyannote[741].end 5828.35221875
transcript.pyannote[742].speaker SPEAKER_26
transcript.pyannote[742].start 5828.65596875
transcript.pyannote[742].end 5851.63971875
transcript.pyannote[743].speaker SPEAKER_26
transcript.pyannote[743].start 5851.89284375
transcript.pyannote[743].end 5855.82471875
transcript.pyannote[744].speaker SPEAKER_26
transcript.pyannote[744].start 5856.16221875
transcript.pyannote[744].end 5904.39096875
transcript.pyannote[745].speaker SPEAKER_26
transcript.pyannote[745].start 5904.61034375
transcript.pyannote[745].end 5905.67346875
transcript.pyannote[746].speaker SPEAKER_26
transcript.pyannote[746].start 5906.11221875
transcript.pyannote[746].end 5925.40034375
transcript.pyannote[747].speaker SPEAKER_05
transcript.pyannote[747].start 5924.97846875
transcript.pyannote[747].end 5925.56909375
transcript.pyannote[748].speaker SPEAKER_05
transcript.pyannote[748].start 5925.95721875
transcript.pyannote[748].end 6008.86409375
transcript.pyannote[749].speaker SPEAKER_26
transcript.pyannote[749].start 5931.91409375
transcript.pyannote[749].end 5932.13346875
transcript.pyannote[750].speaker SPEAKER_00
transcript.pyannote[750].start 5932.13346875
transcript.pyannote[750].end 5932.23471875
transcript.pyannote[751].speaker SPEAKER_09
transcript.pyannote[751].start 5939.01846875
transcript.pyannote[751].end 5939.81159375
transcript.pyannote[752].speaker SPEAKER_00
transcript.pyannote[752].start 5939.81159375
transcript.pyannote[752].end 5939.82846875
transcript.pyannote[753].speaker SPEAKER_09
transcript.pyannote[753].start 5943.45659375
transcript.pyannote[753].end 5943.91221875
transcript.pyannote[754].speaker SPEAKER_05
transcript.pyannote[754].start 6009.37034375
transcript.pyannote[754].end 6010.51784375
transcript.pyannote[755].speaker SPEAKER_05
transcript.pyannote[755].start 6010.60221875
transcript.pyannote[755].end 6014.36534375
transcript.pyannote[756].speaker SPEAKER_05
transcript.pyannote[756].start 6014.51721875
transcript.pyannote[756].end 6020.37284375
transcript.pyannote[757].speaker SPEAKER_26
transcript.pyannote[757].start 6015.49596875
transcript.pyannote[757].end 6015.93471875
transcript.pyannote[758].speaker SPEAKER_26
transcript.pyannote[758].start 6020.35596875
transcript.pyannote[758].end 6066.77909375
transcript.pyannote[759].speaker SPEAKER_26
transcript.pyannote[759].start 6067.01534375
transcript.pyannote[759].end 6080.46471875
transcript.pyannote[760].speaker SPEAKER_26
transcript.pyannote[760].start 6080.73471875
transcript.pyannote[760].end 6096.24284375
transcript.pyannote[761].speaker SPEAKER_05
transcript.pyannote[761].start 6097.05284375
transcript.pyannote[761].end 6101.33909375
transcript.pyannote[762].speaker SPEAKER_05
transcript.pyannote[762].start 6101.57534375
transcript.pyannote[762].end 6130.93784375
transcript.pyannote[763].speaker SPEAKER_26
transcript.pyannote[763].start 6130.88721875
transcript.pyannote[763].end 6133.09784375
transcript.pyannote[764].speaker SPEAKER_29
transcript.pyannote[764].start 6134.00909375
transcript.pyannote[764].end 6148.20096875
transcript.pyannote[765].speaker SPEAKER_00
transcript.pyannote[765].start 6145.23096875
transcript.pyannote[765].end 6145.34909375
transcript.pyannote[766].speaker SPEAKER_29
transcript.pyannote[766].start 6148.90971875
transcript.pyannote[766].end 6191.08034375
transcript.pyannote[767].speaker SPEAKER_29
transcript.pyannote[767].start 6191.56971875
transcript.pyannote[767].end 6202.90971875
transcript.pyannote[768].speaker SPEAKER_26
transcript.pyannote[768].start 6203.01096875
transcript.pyannote[768].end 6212.39346875
transcript.pyannote[769].speaker SPEAKER_26
transcript.pyannote[769].start 6212.66346875
transcript.pyannote[769].end 6228.25596875
transcript.pyannote[770].speaker SPEAKER_29
transcript.pyannote[770].start 6228.44159375
transcript.pyannote[770].end 6265.83659375
transcript.pyannote[771].speaker SPEAKER_26
transcript.pyannote[771].start 6265.83659375
transcript.pyannote[771].end 6287.97659375
transcript.pyannote[772].speaker SPEAKER_26
transcript.pyannote[772].start 6288.38159375
transcript.pyannote[772].end 6289.41096875
transcript.pyannote[773].speaker SPEAKER_07
transcript.pyannote[773].start 6289.64721875
transcript.pyannote[773].end 6290.05221875
transcript.pyannote[774].speaker SPEAKER_26
transcript.pyannote[774].start 6309.77909375
transcript.pyannote[774].end 6311.92221875
transcript.pyannote[775].speaker SPEAKER_26
transcript.pyannote[775].start 6315.70221875
transcript.pyannote[775].end 6315.71909375
transcript.pyannote[776].speaker SPEAKER_24
transcript.pyannote[776].start 6315.71909375
transcript.pyannote[776].end 6319.80284375
transcript.pyannote[777].speaker SPEAKER_24
transcript.pyannote[777].start 6325.27034375
transcript.pyannote[777].end 6337.52159375
transcript.pyannote[778].speaker SPEAKER_00
transcript.pyannote[778].start 6325.62471875
transcript.pyannote[778].end 6326.06346875
transcript.pyannote[779].speaker SPEAKER_35
transcript.pyannote[779].start 6337.52159375
transcript.pyannote[779].end 6337.82534375
transcript.pyannote[780].speaker SPEAKER_24
transcript.pyannote[780].start 6337.55534375
transcript.pyannote[780].end 6337.57221875
transcript.pyannote[781].speaker SPEAKER_24
transcript.pyannote[781].start 6337.74096875
transcript.pyannote[781].end 6344.98034375
transcript.pyannote[782].speaker SPEAKER_35
transcript.pyannote[782].start 6344.87909375
transcript.pyannote[782].end 6345.01409375
transcript.pyannote[783].speaker SPEAKER_24
transcript.pyannote[783].start 6345.01409375
transcript.pyannote[783].end 6359.47596875
transcript.pyannote[784].speaker SPEAKER_24
transcript.pyannote[784].start 6359.84721875
transcript.pyannote[784].end 6367.40721875
transcript.pyannote[785].speaker SPEAKER_24
transcript.pyannote[785].start 6368.53784375
transcript.pyannote[785].end 6369.02721875
transcript.pyannote[786].speaker SPEAKER_24
transcript.pyannote[786].start 6369.36471875
transcript.pyannote[786].end 6370.02284375
transcript.pyannote[787].speaker SPEAKER_24
transcript.pyannote[787].start 6370.03971875
transcript.pyannote[787].end 6377.19471875
transcript.pyannote[788].speaker SPEAKER_24
transcript.pyannote[788].start 6377.83596875
transcript.pyannote[788].end 6379.47284375
transcript.pyannote[789].speaker SPEAKER_35
transcript.pyannote[789].start 6379.03409375
transcript.pyannote[789].end 6379.70909375
transcript.pyannote[790].speaker SPEAKER_24
transcript.pyannote[790].start 6379.69221875
transcript.pyannote[790].end 6393.32721875
transcript.pyannote[791].speaker SPEAKER_24
transcript.pyannote[791].start 6394.05284375
transcript.pyannote[791].end 6398.37284375
transcript.pyannote[792].speaker SPEAKER_24
transcript.pyannote[792].start 6398.79471875
transcript.pyannote[792].end 6418.42034375
transcript.pyannote[793].speaker SPEAKER_24
transcript.pyannote[793].start 6418.99409375
transcript.pyannote[793].end 6425.72721875
transcript.pyannote[794].speaker SPEAKER_24
transcript.pyannote[794].start 6426.16596875
transcript.pyannote[794].end 6433.97909375
transcript.pyannote[795].speaker SPEAKER_24
transcript.pyannote[795].start 6434.51909375
transcript.pyannote[795].end 6444.59346875
transcript.pyannote[796].speaker SPEAKER_24
transcript.pyannote[796].start 6445.45409375
transcript.pyannote[796].end 6446.46659375
transcript.pyannote[797].speaker SPEAKER_24
transcript.pyannote[797].start 6446.61846875
transcript.pyannote[797].end 6469.31534375
transcript.pyannote[798].speaker SPEAKER_24
transcript.pyannote[798].start 6470.04096875
transcript.pyannote[798].end 6499.57221875
transcript.pyannote[799].speaker SPEAKER_00
transcript.pyannote[799].start 6489.90284375
transcript.pyannote[799].end 6490.24034375
transcript.pyannote[800].speaker SPEAKER_05
transcript.pyannote[800].start 6499.57221875
transcript.pyannote[800].end 6525.96471875
transcript.pyannote[801].speaker SPEAKER_24
transcript.pyannote[801].start 6525.57659375
transcript.pyannote[801].end 6533.72721875
transcript.pyannote[802].speaker SPEAKER_05
transcript.pyannote[802].start 6527.61846875
transcript.pyannote[802].end 6530.40284375
transcript.pyannote[803].speaker SPEAKER_05
transcript.pyannote[803].start 6531.87096875
transcript.pyannote[803].end 6532.59659375
transcript.pyannote[804].speaker SPEAKER_05
transcript.pyannote[804].start 6533.72721875
transcript.pyannote[804].end 6536.84909375
transcript.pyannote[805].speaker SPEAKER_24
transcript.pyannote[805].start 6536.56221875
transcript.pyannote[805].end 6546.40034375
transcript.pyannote[806].speaker SPEAKER_05
transcript.pyannote[806].start 6544.56096875
transcript.pyannote[806].end 6544.89846875
transcript.pyannote[807].speaker SPEAKER_05
transcript.pyannote[807].start 6546.09659375
transcript.pyannote[807].end 6548.61096875
transcript.pyannote[808].speaker SPEAKER_24
transcript.pyannote[808].start 6548.17221875
transcript.pyannote[808].end 6558.80346875
transcript.pyannote[809].speaker SPEAKER_24
transcript.pyannote[809].start 6559.73159375
transcript.pyannote[809].end 6575.47596875
transcript.pyannote[810].speaker SPEAKER_27
transcript.pyannote[810].start 6562.71846875
transcript.pyannote[810].end 6563.03909375
transcript.pyannote[811].speaker SPEAKER_24
transcript.pyannote[811].start 6575.62784375
transcript.pyannote[811].end 6585.24659375
transcript.pyannote[812].speaker SPEAKER_00
transcript.pyannote[812].start 6580.87596875
transcript.pyannote[812].end 6581.24721875
transcript.pyannote[813].speaker SPEAKER_24
transcript.pyannote[813].start 6585.73596875
transcript.pyannote[813].end 6589.54971875
transcript.pyannote[814].speaker SPEAKER_24
transcript.pyannote[814].start 6590.12346875
transcript.pyannote[814].end 6591.32159375
transcript.pyannote[815].speaker SPEAKER_24
transcript.pyannote[815].start 6591.70971875
transcript.pyannote[815].end 6599.69159375
transcript.pyannote[816].speaker SPEAKER_24
transcript.pyannote[816].start 6600.61971875
transcript.pyannote[816].end 6601.15971875
transcript.pyannote[817].speaker SPEAKER_24
transcript.pyannote[817].start 6601.41284375
transcript.pyannote[817].end 6602.25659375
transcript.pyannote[818].speaker SPEAKER_05
transcript.pyannote[818].start 6601.54784375
transcript.pyannote[818].end 6605.47971875
transcript.pyannote[819].speaker SPEAKER_24
transcript.pyannote[819].start 6605.36159375
transcript.pyannote[819].end 6613.51221875
transcript.pyannote[820].speaker SPEAKER_24
transcript.pyannote[820].start 6613.61346875
transcript.pyannote[820].end 6620.02596875
transcript.pyannote[821].speaker SPEAKER_24
transcript.pyannote[821].start 6620.49846875
transcript.pyannote[821].end 6625.03784375
transcript.pyannote[822].speaker SPEAKER_05
transcript.pyannote[822].start 6625.03784375
transcript.pyannote[822].end 6627.88971875
transcript.pyannote[823].speaker SPEAKER_24
transcript.pyannote[823].start 6627.40034375
transcript.pyannote[823].end 6629.00346875
transcript.pyannote[824].speaker SPEAKER_05
transcript.pyannote[824].start 6628.71659375
transcript.pyannote[824].end 6629.52659375
transcript.pyannote[825].speaker SPEAKER_24
transcript.pyannote[825].start 6629.66159375
transcript.pyannote[825].end 6642.99284375
transcript.pyannote[826].speaker SPEAKER_00
transcript.pyannote[826].start 6641.47409375
transcript.pyannote[826].end 6641.49096875
transcript.pyannote[827].speaker SPEAKER_00
transcript.pyannote[827].start 6641.55846875
transcript.pyannote[827].end 6641.59221875
transcript.pyannote[828].speaker SPEAKER_24
transcript.pyannote[828].start 6643.43159375
transcript.pyannote[828].end 6646.24971875
transcript.pyannote[829].speaker SPEAKER_24
transcript.pyannote[829].start 6647.56596875
transcript.pyannote[829].end 6650.51909375
transcript.pyannote[830].speaker SPEAKER_24
transcript.pyannote[830].start 6650.97471875
transcript.pyannote[830].end 6663.46221875
transcript.pyannote[831].speaker SPEAKER_24
transcript.pyannote[831].start 6663.98534375
transcript.pyannote[831].end 6666.24659375
transcript.pyannote[832].speaker SPEAKER_05
transcript.pyannote[832].start 6666.70221875
transcript.pyannote[832].end 6667.39409375
transcript.pyannote[833].speaker SPEAKER_03
transcript.pyannote[833].start 6667.39409375
transcript.pyannote[833].end 6667.54596875
transcript.pyannote[834].speaker SPEAKER_05
transcript.pyannote[834].start 6667.54596875
transcript.pyannote[834].end 6667.83284375
transcript.pyannote[835].speaker SPEAKER_03
transcript.pyannote[835].start 6667.83284375
transcript.pyannote[835].end 6668.38971875
transcript.pyannote[836].speaker SPEAKER_05
transcript.pyannote[836].start 6668.38971875
transcript.pyannote[836].end 6668.89596875
transcript.pyannote[837].speaker SPEAKER_03
transcript.pyannote[837].start 6668.89596875
transcript.pyannote[837].end 6675.02159375
transcript.pyannote[838].speaker SPEAKER_24
transcript.pyannote[838].start 6673.65471875
transcript.pyannote[838].end 6684.89346875
transcript.pyannote[839].speaker SPEAKER_03
transcript.pyannote[839].start 6682.39596875
transcript.pyannote[839].end 6682.42971875
transcript.pyannote[840].speaker SPEAKER_35
transcript.pyannote[840].start 6682.42971875
transcript.pyannote[840].end 6683.59409375
transcript.pyannote[841].speaker SPEAKER_24
transcript.pyannote[841].start 6685.18034375
transcript.pyannote[841].end 6689.26409375
transcript.pyannote[842].speaker SPEAKER_24
transcript.pyannote[842].start 6689.68596875
transcript.pyannote[842].end 6692.41971875
transcript.pyannote[843].speaker SPEAKER_03
transcript.pyannote[843].start 6693.38159375
transcript.pyannote[843].end 6693.49971875
transcript.pyannote[844].speaker SPEAKER_03
transcript.pyannote[844].start 6693.78659375
transcript.pyannote[844].end 6702.15659375
transcript.pyannote[845].speaker SPEAKER_24
transcript.pyannote[845].start 6702.02159375
transcript.pyannote[845].end 6703.64159375
transcript.pyannote[846].speaker SPEAKER_24
transcript.pyannote[846].start 6705.17721875
transcript.pyannote[846].end 6708.33284375
transcript.pyannote[847].speaker SPEAKER_03
transcript.pyannote[847].start 6705.41346875
transcript.pyannote[847].end 6705.48096875
transcript.pyannote[848].speaker SPEAKER_35
transcript.pyannote[848].start 6705.48096875
transcript.pyannote[848].end 6705.66659375
transcript.pyannote[849].speaker SPEAKER_03
transcript.pyannote[849].start 6705.66659375
transcript.pyannote[849].end 6707.91096875
transcript.pyannote[850].speaker SPEAKER_24
transcript.pyannote[850].start 6708.56909375
transcript.pyannote[850].end 6712.38284375
transcript.pyannote[851].speaker SPEAKER_24
transcript.pyannote[851].start 6712.97346875
transcript.pyannote[851].end 6725.62971875
transcript.pyannote[852].speaker SPEAKER_24
transcript.pyannote[852].start 6726.52409375
transcript.pyannote[852].end 6728.46471875
transcript.pyannote[853].speaker SPEAKER_24
transcript.pyannote[853].start 6729.19034375
transcript.pyannote[853].end 6732.43034375
transcript.pyannote[854].speaker SPEAKER_24
transcript.pyannote[854].start 6734.38784375
transcript.pyannote[854].end 6734.82659375
transcript.pyannote[855].speaker SPEAKER_03
transcript.pyannote[855].start 6735.24846875
transcript.pyannote[855].end 6735.56909375
transcript.pyannote[856].speaker SPEAKER_03
transcript.pyannote[856].start 6736.05846875
transcript.pyannote[856].end 6742.69034375
transcript.pyannote[857].speaker SPEAKER_24
transcript.pyannote[857].start 6740.56409375
transcript.pyannote[857].end 6741.42471875
transcript.pyannote[858].speaker SPEAKER_24
transcript.pyannote[858].start 6742.67346875
transcript.pyannote[858].end 6743.80409375
transcript.pyannote[859].speaker SPEAKER_03
transcript.pyannote[859].start 6744.73221875
transcript.pyannote[859].end 6752.62971875
transcript.pyannote[860].speaker SPEAKER_03
transcript.pyannote[860].start 6752.79846875
transcript.pyannote[860].end 6752.81534375
transcript.pyannote[861].speaker SPEAKER_24
transcript.pyannote[861].start 6752.81534375
transcript.pyannote[861].end 6752.95034375
transcript.pyannote[862].speaker SPEAKER_03
transcript.pyannote[862].start 6752.95034375
transcript.pyannote[862].end 6752.96721875
transcript.pyannote[863].speaker SPEAKER_24
transcript.pyannote[863].start 6752.96721875
transcript.pyannote[863].end 6764.12159375
transcript.pyannote[864].speaker SPEAKER_24
transcript.pyannote[864].start 6764.45909375
transcript.pyannote[864].end 6766.16346875
transcript.pyannote[865].speaker SPEAKER_24
transcript.pyannote[865].start 6766.43346875
transcript.pyannote[865].end 6779.02221875
transcript.pyannote[866].speaker SPEAKER_24
transcript.pyannote[866].start 6779.52846875
transcript.pyannote[866].end 6788.50596875
transcript.pyannote[867].speaker SPEAKER_24
transcript.pyannote[867].start 6788.94471875
transcript.pyannote[867].end 6791.25659375
transcript.pyannote[868].speaker SPEAKER_24
transcript.pyannote[868].start 6791.99909375
transcript.pyannote[868].end 6792.25221875
transcript.pyannote[869].speaker SPEAKER_24
transcript.pyannote[869].start 6792.53909375
transcript.pyannote[869].end 6795.61034375
transcript.pyannote[870].speaker SPEAKER_24
transcript.pyannote[870].start 6796.60596875
transcript.pyannote[870].end 6808.65471875
transcript.pyannote[871].speaker SPEAKER_00
transcript.pyannote[871].start 6798.19221875
transcript.pyannote[871].end 6798.54659375
transcript.pyannote[872].speaker SPEAKER_24
transcript.pyannote[872].start 6808.77284375
transcript.pyannote[872].end 6813.27846875
transcript.pyannote[873].speaker SPEAKER_24
transcript.pyannote[873].start 6814.02096875
transcript.pyannote[873].end 6814.27409375
transcript.pyannote[874].speaker SPEAKER_24
transcript.pyannote[874].start 6814.64534375
transcript.pyannote[874].end 6815.84346875
transcript.pyannote[875].speaker SPEAKER_05
transcript.pyannote[875].start 6815.94471875
transcript.pyannote[875].end 6821.07471875
transcript.pyannote[876].speaker SPEAKER_24
transcript.pyannote[876].start 6819.97784375
transcript.pyannote[876].end 6823.18409375
transcript.pyannote[877].speaker SPEAKER_05
transcript.pyannote[877].start 6821.53034375
transcript.pyannote[877].end 6828.76971875
transcript.pyannote[878].speaker SPEAKER_24
transcript.pyannote[878].start 6828.44909375
transcript.pyannote[878].end 6830.18721875
transcript.pyannote[879].speaker SPEAKER_24
transcript.pyannote[879].start 6830.72721875
transcript.pyannote[879].end 6834.18659375
transcript.pyannote[880].speaker SPEAKER_05
transcript.pyannote[880].start 6834.50721875
transcript.pyannote[880].end 6834.64221875
transcript.pyannote[881].speaker SPEAKER_24
transcript.pyannote[881].start 6835.01346875
transcript.pyannote[881].end 6843.63659375
transcript.pyannote[882].speaker SPEAKER_05
transcript.pyannote[882].start 6836.11034375
transcript.pyannote[882].end 6836.97096875
transcript.pyannote[883].speaker SPEAKER_35
transcript.pyannote[883].start 6836.97096875
transcript.pyannote[883].end 6837.12284375
transcript.pyannote[884].speaker SPEAKER_05
transcript.pyannote[884].start 6837.12284375
transcript.pyannote[884].end 6837.25784375
transcript.pyannote[885].speaker SPEAKER_35
transcript.pyannote[885].start 6837.25784375
transcript.pyannote[885].end 6837.39284375
transcript.pyannote[886].speaker SPEAKER_05
transcript.pyannote[886].start 6844.34534375
transcript.pyannote[886].end 6850.21784375
transcript.pyannote[887].speaker SPEAKER_35
transcript.pyannote[887].start 6850.21784375
transcript.pyannote[887].end 6850.30221875
transcript.pyannote[888].speaker SPEAKER_05
transcript.pyannote[888].start 6850.30221875
transcript.pyannote[888].end 6850.47096875
transcript.pyannote[889].speaker SPEAKER_24
transcript.pyannote[889].start 6850.36971875
transcript.pyannote[889].end 6857.82846875
transcript.pyannote[890].speaker SPEAKER_35
transcript.pyannote[890].start 6858.52034375
transcript.pyannote[890].end 6858.53721875
transcript.pyannote[891].speaker SPEAKER_05
transcript.pyannote[891].start 6858.53721875
transcript.pyannote[891].end 6858.65534375
transcript.pyannote[892].speaker SPEAKER_24
transcript.pyannote[892].start 6858.65534375
transcript.pyannote[892].end 6858.99284375
transcript.pyannote[893].speaker SPEAKER_05
transcript.pyannote[893].start 6858.72284375
transcript.pyannote[893].end 6858.94221875
transcript.pyannote[894].speaker SPEAKER_05
transcript.pyannote[894].start 6858.99284375
transcript.pyannote[894].end 6865.91159375
transcript.pyannote[895].speaker SPEAKER_24
transcript.pyannote[895].start 6866.26596875
transcript.pyannote[895].end 6866.53596875
transcript.pyannote[896].speaker SPEAKER_05
transcript.pyannote[896].start 6866.53596875
transcript.pyannote[896].end 6866.97471875
transcript.pyannote[897].speaker SPEAKER_24
transcript.pyannote[897].start 6866.97471875
transcript.pyannote[897].end 6867.07596875
transcript.pyannote[898].speaker SPEAKER_05
transcript.pyannote[898].start 6867.07596875
transcript.pyannote[898].end 6867.97034375
transcript.pyannote[899].speaker SPEAKER_24
transcript.pyannote[899].start 6867.97034375
transcript.pyannote[899].end 6868.72971875
transcript.pyannote[900].speaker SPEAKER_05
transcript.pyannote[900].start 6868.72971875
transcript.pyannote[900].end 6871.17659375
transcript.pyannote[901].speaker SPEAKER_24
transcript.pyannote[901].start 6868.84784375
transcript.pyannote[901].end 6871.59846875
transcript.pyannote[902].speaker SPEAKER_05
transcript.pyannote[902].start 6871.41284375
transcript.pyannote[902].end 6871.76721875
transcript.pyannote[903].speaker SPEAKER_24
transcript.pyannote[903].start 6871.76721875
transcript.pyannote[903].end 6878.17971875
transcript.pyannote[904].speaker SPEAKER_24
transcript.pyannote[904].start 6878.93909375
transcript.pyannote[904].end 6881.58846875
transcript.pyannote[905].speaker SPEAKER_24
transcript.pyannote[905].start 6882.61784375
transcript.pyannote[905].end 6883.15784375
transcript.pyannote[906].speaker SPEAKER_24
transcript.pyannote[906].start 6883.95096875
transcript.pyannote[906].end 6884.81159375
transcript.pyannote[907].speaker SPEAKER_24
transcript.pyannote[907].start 6885.30096875
transcript.pyannote[907].end 6886.41471875
transcript.pyannote[908].speaker SPEAKER_24
transcript.pyannote[908].start 6887.35971875
transcript.pyannote[908].end 6888.33846875
transcript.pyannote[909].speaker SPEAKER_24
transcript.pyannote[909].start 6889.28346875
transcript.pyannote[909].end 6890.66721875
transcript.pyannote[910].speaker SPEAKER_24
transcript.pyannote[910].start 6891.07221875
transcript.pyannote[910].end 6892.54034375
transcript.pyannote[911].speaker SPEAKER_24
transcript.pyannote[911].start 6892.87784375
transcript.pyannote[911].end 6896.55659375
transcript.pyannote[912].speaker SPEAKER_05
transcript.pyannote[912].start 6896.86034375
transcript.pyannote[912].end 6899.62784375
transcript.pyannote[913].speaker SPEAKER_24
transcript.pyannote[913].start 6899.98221875
transcript.pyannote[913].end 6916.89096875
transcript.pyannote[914].speaker SPEAKER_05
transcript.pyannote[914].start 6917.68409375
transcript.pyannote[914].end 6918.30846875
transcript.pyannote[915].speaker SPEAKER_05
transcript.pyannote[915].start 6918.96659375
transcript.pyannote[915].end 6922.45971875
transcript.pyannote[916].speaker SPEAKER_24
transcript.pyannote[916].start 6922.10534375
transcript.pyannote[916].end 6928.78784375
transcript.pyannote[917].speaker SPEAKER_05
transcript.pyannote[917].start 6926.07096875
transcript.pyannote[917].end 6926.42534375
transcript.pyannote[918].speaker SPEAKER_24
transcript.pyannote[918].start 6928.97346875
transcript.pyannote[918].end 6930.71159375
transcript.pyannote[919].speaker SPEAKER_24
transcript.pyannote[919].start 6931.43721875
transcript.pyannote[919].end 6931.96034375
transcript.pyannote[920].speaker SPEAKER_05
transcript.pyannote[920].start 6932.02784375
transcript.pyannote[920].end 6932.19659375
transcript.pyannote[921].speaker SPEAKER_24
transcript.pyannote[921].start 6932.19659375
transcript.pyannote[921].end 6933.85034375
transcript.pyannote[922].speaker SPEAKER_05
transcript.pyannote[922].start 6934.35659375
transcript.pyannote[922].end 6934.37346875
transcript.pyannote[923].speaker SPEAKER_24
transcript.pyannote[923].start 6934.37346875
transcript.pyannote[923].end 6934.39034375
transcript.pyannote[924].speaker SPEAKER_05
transcript.pyannote[924].start 6934.39034375
transcript.pyannote[924].end 6934.77846875
transcript.pyannote[925].speaker SPEAKER_24
transcript.pyannote[925].start 6934.40721875
transcript.pyannote[925].end 6936.14534375
transcript.pyannote[926].speaker SPEAKER_05
transcript.pyannote[926].start 6936.87096875
transcript.pyannote[926].end 6939.79034375
transcript.pyannote[927].speaker SPEAKER_24
transcript.pyannote[927].start 6939.16596875
transcript.pyannote[927].end 6940.17846875
transcript.pyannote[928].speaker SPEAKER_05
transcript.pyannote[928].start 6940.17846875
transcript.pyannote[928].end 6941.12346875
transcript.pyannote[929].speaker SPEAKER_24
transcript.pyannote[929].start 6941.20784375
transcript.pyannote[929].end 6942.42284375
transcript.pyannote[930].speaker SPEAKER_24
transcript.pyannote[930].start 6943.41846875
transcript.pyannote[930].end 6943.65471875
transcript.pyannote[931].speaker SPEAKER_24
transcript.pyannote[931].start 6943.87409375
transcript.pyannote[931].end 6956.07471875
transcript.pyannote[932].speaker SPEAKER_05
transcript.pyannote[932].start 6955.33221875
transcript.pyannote[932].end 6961.39034375
transcript.pyannote[933].speaker SPEAKER_24
transcript.pyannote[933].start 6957.22221875
transcript.pyannote[933].end 6957.34034375
transcript.pyannote[934].speaker SPEAKER_35
transcript.pyannote[934].start 6957.34034375
transcript.pyannote[934].end 6957.35721875
transcript.pyannote[935].speaker SPEAKER_24
transcript.pyannote[935].start 6957.35721875
transcript.pyannote[935].end 6957.45846875
transcript.pyannote[936].speaker SPEAKER_35
transcript.pyannote[936].start 6957.45846875
transcript.pyannote[936].end 6958.04909375
transcript.pyannote[937].speaker SPEAKER_24
transcript.pyannote[937].start 6958.04909375
transcript.pyannote[937].end 6958.15034375
transcript.pyannote[938].speaker SPEAKER_24
transcript.pyannote[938].start 6961.17096875
transcript.pyannote[938].end 6961.72784375
transcript.pyannote[939].speaker SPEAKER_05
transcript.pyannote[939].start 6961.57596875
transcript.pyannote[939].end 6961.69409375
transcript.pyannote[940].speaker SPEAKER_05
transcript.pyannote[940].start 6961.72784375
transcript.pyannote[940].end 6961.91346875
transcript.pyannote[941].speaker SPEAKER_24
transcript.pyannote[941].start 6961.91346875
transcript.pyannote[941].end 6961.94721875
transcript.pyannote[942].speaker SPEAKER_24
transcript.pyannote[942].start 6962.57159375
transcript.pyannote[942].end 6964.39409375
transcript.pyannote[943].speaker SPEAKER_24
transcript.pyannote[943].start 6965.10284375
transcript.pyannote[943].end 6967.60034375
transcript.pyannote[944].speaker SPEAKER_35
transcript.pyannote[944].start 6968.12346875
transcript.pyannote[944].end 6968.22471875
transcript.pyannote[945].speaker SPEAKER_24
transcript.pyannote[945].start 6968.22471875
transcript.pyannote[945].end 6991.74846875
transcript.pyannote[946].speaker SPEAKER_24
transcript.pyannote[946].start 6991.91721875
transcript.pyannote[946].end 7006.36221875
transcript.pyannote[947].speaker SPEAKER_07
transcript.pyannote[947].start 7007.39159375
transcript.pyannote[947].end 7007.66159375
transcript.pyannote[948].speaker SPEAKER_24
transcript.pyannote[948].start 7007.98221875
transcript.pyannote[948].end 7014.52971875
transcript.pyannote[949].speaker SPEAKER_24
transcript.pyannote[949].start 7016.62221875
transcript.pyannote[949].end 7018.59659375
transcript.pyannote[950].speaker SPEAKER_24
transcript.pyannote[950].start 7019.08596875
transcript.pyannote[950].end 7019.81159375
transcript.pyannote[951].speaker SPEAKER_24
transcript.pyannote[951].start 7020.41909375
transcript.pyannote[951].end 7022.46096875
transcript.pyannote[952].speaker SPEAKER_35
transcript.pyannote[952].start 7022.46096875
transcript.pyannote[952].end 7023.03471875
transcript.pyannote[953].speaker SPEAKER_24
transcript.pyannote[953].start 7023.16971875
transcript.pyannote[953].end 7023.84471875
transcript.pyannote[954].speaker SPEAKER_24
transcript.pyannote[954].start 7024.33409375
transcript.pyannote[954].end 7024.70534375
transcript.pyannote[955].speaker SPEAKER_24
transcript.pyannote[955].start 7025.17784375
transcript.pyannote[955].end 7027.42221875
transcript.pyannote[956].speaker SPEAKER_24
transcript.pyannote[956].start 7027.57409375
transcript.pyannote[956].end 7031.53971875
transcript.pyannote[957].speaker SPEAKER_03
transcript.pyannote[957].start 7031.59034375
transcript.pyannote[957].end 7031.82659375
transcript.pyannote[958].speaker SPEAKER_05
transcript.pyannote[958].start 7031.82659375
transcript.pyannote[958].end 7031.89409375
transcript.pyannote[959].speaker SPEAKER_03
transcript.pyannote[959].start 7031.89409375
transcript.pyannote[959].end 7031.92784375
transcript.pyannote[960].speaker SPEAKER_05
transcript.pyannote[960].start 7031.92784375
transcript.pyannote[960].end 7032.19784375
transcript.pyannote[961].speaker SPEAKER_03
transcript.pyannote[961].start 7032.19784375
transcript.pyannote[961].end 7039.72409375
transcript.pyannote[962].speaker SPEAKER_24
transcript.pyannote[962].start 7037.20971875
transcript.pyannote[962].end 7050.25409375
transcript.pyannote[963].speaker SPEAKER_03
transcript.pyannote[963].start 7044.01034375
transcript.pyannote[963].end 7044.97221875
transcript.pyannote[964].speaker SPEAKER_05
transcript.pyannote[964].start 7046.03534375
transcript.pyannote[964].end 7046.17034375
transcript.pyannote[965].speaker SPEAKER_03
transcript.pyannote[965].start 7046.17034375
transcript.pyannote[965].end 7047.03096875
transcript.pyannote[966].speaker SPEAKER_05
transcript.pyannote[966].start 7047.03096875
transcript.pyannote[966].end 7047.75659375
transcript.pyannote[967].speaker SPEAKER_03
transcript.pyannote[967].start 7047.75659375
transcript.pyannote[967].end 7047.82409375
transcript.pyannote[968].speaker SPEAKER_05
transcript.pyannote[968].start 7047.82409375
transcript.pyannote[968].end 7048.07721875
transcript.pyannote[969].speaker SPEAKER_05
transcript.pyannote[969].start 7053.00471875
transcript.pyannote[969].end 7058.87721875
transcript.pyannote[970].speaker SPEAKER_24
transcript.pyannote[970].start 7058.87721875
transcript.pyannote[970].end 7062.15096875
transcript.pyannote[971].speaker SPEAKER_05
transcript.pyannote[971].start 7061.88096875
transcript.pyannote[971].end 7062.72471875
transcript.pyannote[972].speaker SPEAKER_24
transcript.pyannote[972].start 7062.16784375
transcript.pyannote[972].end 7062.18471875
transcript.pyannote[973].speaker SPEAKER_24
transcript.pyannote[973].start 7062.21846875
transcript.pyannote[973].end 7067.87159375
transcript.pyannote[974].speaker SPEAKER_33
transcript.pyannote[974].start 7062.72471875
transcript.pyannote[974].end 7062.74159375
transcript.pyannote[975].speaker SPEAKER_24
transcript.pyannote[975].start 7068.56346875
transcript.pyannote[975].end 7073.18721875
transcript.pyannote[976].speaker SPEAKER_35
transcript.pyannote[976].start 7073.18721875
transcript.pyannote[976].end 7073.82846875
transcript.pyannote[977].speaker SPEAKER_24
transcript.pyannote[977].start 7073.27159375
transcript.pyannote[977].end 7073.71034375
transcript.pyannote[978].speaker SPEAKER_24
transcript.pyannote[978].start 7073.81159375
transcript.pyannote[978].end 7077.38909375
transcript.pyannote[979].speaker SPEAKER_24
transcript.pyannote[979].start 7078.13159375
transcript.pyannote[979].end 7081.03409375
transcript.pyannote[980].speaker SPEAKER_24
transcript.pyannote[980].start 7081.57409375
transcript.pyannote[980].end 7093.18409375
transcript.pyannote[981].speaker SPEAKER_05
transcript.pyannote[981].start 7088.62784375
transcript.pyannote[981].end 7088.89784375
transcript.pyannote[982].speaker SPEAKER_05
transcript.pyannote[982].start 7092.44159375
transcript.pyannote[982].end 7092.57659375
transcript.pyannote[983].speaker SPEAKER_05
transcript.pyannote[983].start 7092.61034375
transcript.pyannote[983].end 7092.93096875
transcript.pyannote[984].speaker SPEAKER_05
transcript.pyannote[984].start 7093.08284375
transcript.pyannote[984].end 7098.29721875
transcript.pyannote[985].speaker SPEAKER_03
transcript.pyannote[985].start 7095.44534375
transcript.pyannote[985].end 7096.23846875
transcript.pyannote[986].speaker SPEAKER_03
transcript.pyannote[986].start 7096.79534375
transcript.pyannote[986].end 7097.28471875
transcript.pyannote[987].speaker SPEAKER_24
transcript.pyannote[987].start 7098.02721875
transcript.pyannote[987].end 7103.12346875
transcript.pyannote[988].speaker SPEAKER_05
transcript.pyannote[988].start 7102.48221875
transcript.pyannote[988].end 7103.95034375
transcript.pyannote[989].speaker SPEAKER_24
transcript.pyannote[989].start 7103.93346875
transcript.pyannote[989].end 7105.82346875
transcript.pyannote[990].speaker SPEAKER_24
transcript.pyannote[990].start 7106.29596875
transcript.pyannote[990].end 7111.07159375
transcript.pyannote[991].speaker SPEAKER_05
transcript.pyannote[991].start 7111.76346875
transcript.pyannote[991].end 7114.88534375
transcript.pyannote[992].speaker SPEAKER_24
transcript.pyannote[992].start 7114.44659375
transcript.pyannote[992].end 7121.16284375
transcript.pyannote[993].speaker SPEAKER_24
transcript.pyannote[993].start 7121.97284375
transcript.pyannote[993].end 7123.03596875
transcript.pyannote[994].speaker SPEAKER_24
transcript.pyannote[994].start 7123.13721875
transcript.pyannote[994].end 7127.59221875
transcript.pyannote[995].speaker SPEAKER_05
transcript.pyannote[995].start 7127.94659375
transcript.pyannote[995].end 7135.10159375
transcript.pyannote[996].speaker SPEAKER_24
transcript.pyannote[996].start 7129.76909375
transcript.pyannote[996].end 7129.95471875
transcript.pyannote[997].speaker SPEAKER_24
transcript.pyannote[997].start 7135.10159375
transcript.pyannote[997].end 7136.21534375
transcript.pyannote[998].speaker SPEAKER_05
transcript.pyannote[998].start 7135.13534375
transcript.pyannote[998].end 7135.87784375
transcript.pyannote[999].speaker SPEAKER_05
transcript.pyannote[999].start 7136.21534375
transcript.pyannote[999].end 7136.97471875
transcript.pyannote[1000].speaker SPEAKER_24
transcript.pyannote[1000].start 7136.97471875
transcript.pyannote[1000].end 7138.51034375
transcript.pyannote[1001].speaker SPEAKER_24
transcript.pyannote[1001].start 7138.56096875
transcript.pyannote[1001].end 7139.89409375
transcript.pyannote[1002].speaker SPEAKER_24
transcript.pyannote[1002].start 7140.06284375
transcript.pyannote[1002].end 7143.03284375
transcript.pyannote[1003].speaker SPEAKER_05
transcript.pyannote[1003].start 7143.35346875
transcript.pyannote[1003].end 7144.48409375
transcript.pyannote[1004].speaker SPEAKER_24
transcript.pyannote[1004].start 7143.85971875
transcript.pyannote[1004].end 7161.64596875
transcript.pyannote[1005].speaker SPEAKER_05
transcript.pyannote[1005].start 7145.22659375
transcript.pyannote[1005].end 7147.97721875
transcript.pyannote[1006].speaker SPEAKER_05
transcript.pyannote[1006].start 7148.61846875
transcript.pyannote[1006].end 7152.33096875
transcript.pyannote[1007].speaker SPEAKER_05
transcript.pyannote[1007].start 7161.96659375
transcript.pyannote[1007].end 7164.17721875
transcript.pyannote[1008].speaker SPEAKER_24
transcript.pyannote[1008].start 7163.77221875
transcript.pyannote[1008].end 7165.13909375
transcript.pyannote[1009].speaker SPEAKER_05
transcript.pyannote[1009].start 7165.13909375
transcript.pyannote[1009].end 7167.78846875
transcript.pyannote[1010].speaker SPEAKER_24
transcript.pyannote[1010].start 7167.36659375
transcript.pyannote[1010].end 7170.04971875
transcript.pyannote[1011].speaker SPEAKER_24
transcript.pyannote[1011].start 7170.43784375
transcript.pyannote[1011].end 7172.02409375
transcript.pyannote[1012].speaker SPEAKER_24
transcript.pyannote[1012].start 7172.27721875
transcript.pyannote[1012].end 7191.80159375
transcript.pyannote[1013].speaker SPEAKER_08
transcript.pyannote[1013].start 7180.78221875
transcript.pyannote[1013].end 7180.79909375
transcript.pyannote[1014].speaker SPEAKER_26
transcript.pyannote[1014].start 7180.79909375
transcript.pyannote[1014].end 7181.15346875
transcript.pyannote[1015].speaker SPEAKER_08
transcript.pyannote[1015].start 7181.15346875
transcript.pyannote[1015].end 7181.17034375
transcript.pyannote[1016].speaker SPEAKER_24
transcript.pyannote[1016].start 7192.27409375
transcript.pyannote[1016].end 7192.29096875
transcript.pyannote[1017].speaker SPEAKER_26
transcript.pyannote[1017].start 7192.29096875
transcript.pyannote[1017].end 7193.82659375
transcript.pyannote[1018].speaker SPEAKER_26
transcript.pyannote[1018].start 7197.70784375
transcript.pyannote[1018].end 7204.12034375
transcript.pyannote[1019].speaker SPEAKER_26
transcript.pyannote[1019].start 7204.60971875
transcript.pyannote[1019].end 7206.48284375
transcript.pyannote[1020].speaker SPEAKER_17
transcript.pyannote[1020].start 7217.02971875
transcript.pyannote[1020].end 7219.51034375
transcript.pyannote[1021].speaker SPEAKER_25
transcript.pyannote[1021].start 7219.62846875
transcript.pyannote[1021].end 7220.50596875
transcript.pyannote[1022].speaker SPEAKER_17
transcript.pyannote[1022].start 7226.12534375
transcript.pyannote[1022].end 7226.64846875
transcript.pyannote[1023].speaker SPEAKER_17
transcript.pyannote[1023].start 7227.40784375
transcript.pyannote[1023].end 7232.09909375
transcript.pyannote[1024].speaker SPEAKER_17
transcript.pyannote[1024].start 7232.58846875
transcript.pyannote[1024].end 7264.36409375
transcript.pyannote[1025].speaker SPEAKER_17
transcript.pyannote[1025].start 7264.56659375
transcript.pyannote[1025].end 7281.61034375
transcript.pyannote[1026].speaker SPEAKER_05
transcript.pyannote[1026].start 7281.61034375
transcript.pyannote[1026].end 7318.38096875
transcript.pyannote[1027].speaker SPEAKER_03
transcript.pyannote[1027].start 7319.68034375
transcript.pyannote[1027].end 7329.07971875
transcript.pyannote[1028].speaker SPEAKER_17
transcript.pyannote[1028].start 7328.23596875
transcript.pyannote[1028].end 7336.47096875
transcript.pyannote[1029].speaker SPEAKER_17
transcript.pyannote[1029].start 7337.07846875
transcript.pyannote[1029].end 7337.93909375
transcript.pyannote[1030].speaker SPEAKER_03
transcript.pyannote[1030].start 7337.93909375
transcript.pyannote[1030].end 7338.81659375
transcript.pyannote[1031].speaker SPEAKER_17
transcript.pyannote[1031].start 7338.22596875
transcript.pyannote[1031].end 7348.06409375
transcript.pyannote[1032].speaker SPEAKER_03
transcript.pyannote[1032].start 7347.37221875
transcript.pyannote[1032].end 7347.70971875
transcript.pyannote[1033].speaker SPEAKER_03
transcript.pyannote[1033].start 7348.21596875
transcript.pyannote[1033].end 7359.52221875
transcript.pyannote[1034].speaker SPEAKER_03
transcript.pyannote[1034].start 7359.75846875
transcript.pyannote[1034].end 7361.93534375
transcript.pyannote[1035].speaker SPEAKER_03
transcript.pyannote[1035].start 7362.12096875
transcript.pyannote[1035].end 7365.41159375
transcript.pyannote[1036].speaker SPEAKER_03
transcript.pyannote[1036].start 7365.51284375
transcript.pyannote[1036].end 7369.51221875
transcript.pyannote[1037].speaker SPEAKER_17
transcript.pyannote[1037].start 7369.52909375
transcript.pyannote[1037].end 7382.06721875
transcript.pyannote[1038].speaker SPEAKER_17
transcript.pyannote[1038].start 7382.70846875
transcript.pyannote[1038].end 7406.70471875
transcript.pyannote[1039].speaker SPEAKER_17
transcript.pyannote[1039].start 7407.17721875
transcript.pyannote[1039].end 7413.58971875
transcript.pyannote[1040].speaker SPEAKER_17
transcript.pyannote[1040].start 7413.79221875
transcript.pyannote[1040].end 7427.62971875
transcript.pyannote[1041].speaker SPEAKER_17
transcript.pyannote[1041].start 7428.59159375
transcript.pyannote[1041].end 7431.78096875
transcript.pyannote[1042].speaker SPEAKER_17
transcript.pyannote[1042].start 7432.20284375
transcript.pyannote[1042].end 7436.69159375
transcript.pyannote[1043].speaker SPEAKER_17
transcript.pyannote[1043].start 7436.89409375
transcript.pyannote[1043].end 7439.56034375
transcript.pyannote[1044].speaker SPEAKER_17
transcript.pyannote[1044].start 7440.01596875
transcript.pyannote[1044].end 7447.37346875
transcript.pyannote[1045].speaker SPEAKER_17
transcript.pyannote[1045].start 7447.76159375
transcript.pyannote[1045].end 7452.75659375
transcript.pyannote[1046].speaker SPEAKER_17
transcript.pyannote[1046].start 7453.16159375
transcript.pyannote[1046].end 7455.91221875
transcript.pyannote[1047].speaker SPEAKER_05
transcript.pyannote[1047].start 7456.06409375
transcript.pyannote[1047].end 7511.29596875
transcript.pyannote[1048].speaker SPEAKER_00
transcript.pyannote[1048].start 7492.46346875
transcript.pyannote[1048].end 7492.56471875
transcript.pyannote[1049].speaker SPEAKER_35
transcript.pyannote[1049].start 7492.56471875
transcript.pyannote[1049].end 7492.63221875
transcript.pyannote[1050].speaker SPEAKER_00
transcript.pyannote[1050].start 7492.63221875
transcript.pyannote[1050].end 7492.73346875
transcript.pyannote[1051].speaker SPEAKER_17
transcript.pyannote[1051].start 7510.30034375
transcript.pyannote[1051].end 7515.63284375
transcript.pyannote[1052].speaker SPEAKER_17
transcript.pyannote[1052].start 7516.35846875
transcript.pyannote[1052].end 7518.02909375
transcript.pyannote[1053].speaker SPEAKER_05
transcript.pyannote[1053].start 7518.16409375
transcript.pyannote[1053].end 7529.68971875
transcript.pyannote[1054].speaker SPEAKER_17
transcript.pyannote[1054].start 7529.68971875
transcript.pyannote[1054].end 7547.71221875
transcript.pyannote[1055].speaker SPEAKER_05
transcript.pyannote[1055].start 7537.43534375
transcript.pyannote[1055].end 7538.48159375
transcript.pyannote[1056].speaker SPEAKER_05
transcript.pyannote[1056].start 7541.67096875
transcript.pyannote[1056].end 7542.19409375
transcript.pyannote[1057].speaker SPEAKER_05
transcript.pyannote[1057].start 7546.58159375
transcript.pyannote[1057].end 7548.06659375
transcript.pyannote[1058].speaker SPEAKER_17
transcript.pyannote[1058].start 7548.01596875
transcript.pyannote[1058].end 7550.96909375
transcript.pyannote[1059].speaker SPEAKER_17
transcript.pyannote[1059].start 7551.37409375
transcript.pyannote[1059].end 7558.52909375
transcript.pyannote[1060].speaker SPEAKER_17
transcript.pyannote[1060].start 7558.78221875
transcript.pyannote[1060].end 7597.91534375
transcript.pyannote[1061].speaker SPEAKER_17
transcript.pyannote[1061].start 7598.35409375
transcript.pyannote[1061].end 7601.25659375
transcript.pyannote[1062].speaker SPEAKER_05
transcript.pyannote[1062].start 7601.25659375
transcript.pyannote[1062].end 7601.27346875
transcript.pyannote[1063].speaker SPEAKER_17
transcript.pyannote[1063].start 7601.27346875
transcript.pyannote[1063].end 7601.32409375
transcript.pyannote[1064].speaker SPEAKER_05
transcript.pyannote[1064].start 7601.45909375
transcript.pyannote[1064].end 7672.01346875
transcript.pyannote[1065].speaker SPEAKER_17
transcript.pyannote[1065].start 7605.00284375
transcript.pyannote[1065].end 7606.26846875
transcript.pyannote[1066].speaker SPEAKER_17
transcript.pyannote[1066].start 7672.08096875
transcript.pyannote[1066].end 7700.38034375
transcript.pyannote[1067].speaker SPEAKER_17
transcript.pyannote[1067].start 7701.20721875
transcript.pyannote[1067].end 7705.05471875
transcript.pyannote[1068].speaker SPEAKER_17
transcript.pyannote[1068].start 7705.12221875
transcript.pyannote[1068].end 7705.67909375
transcript.pyannote[1069].speaker SPEAKER_17
transcript.pyannote[1069].start 7706.53971875
transcript.pyannote[1069].end 7713.76221875
transcript.pyannote[1070].speaker SPEAKER_17
transcript.pyannote[1070].start 7714.08284375
transcript.pyannote[1070].end 7731.44721875
transcript.pyannote[1071].speaker SPEAKER_17
transcript.pyannote[1071].start 7731.53159375
transcript.pyannote[1071].end 7735.78409375
transcript.pyannote[1072].speaker SPEAKER_17
transcript.pyannote[1072].start 7735.83471875
transcript.pyannote[1072].end 7742.12909375
transcript.pyannote[1073].speaker SPEAKER_35
transcript.pyannote[1073].start 7742.02784375
transcript.pyannote[1073].end 7742.36534375
transcript.pyannote[1074].speaker SPEAKER_17
transcript.pyannote[1074].start 7742.24721875
transcript.pyannote[1074].end 7744.28909375
transcript.pyannote[1075].speaker SPEAKER_17
transcript.pyannote[1075].start 7744.66034375
transcript.pyannote[1075].end 7747.41096875
transcript.pyannote[1076].speaker SPEAKER_17
transcript.pyannote[1076].start 7747.78221875
transcript.pyannote[1076].end 7748.35596875
transcript.pyannote[1077].speaker SPEAKER_17
transcript.pyannote[1077].start 7748.92971875
transcript.pyannote[1077].end 7757.24909375
transcript.pyannote[1078].speaker SPEAKER_17
transcript.pyannote[1078].start 7757.58659375
transcript.pyannote[1078].end 7760.94471875
transcript.pyannote[1079].speaker SPEAKER_05
transcript.pyannote[1079].start 7760.96159375
transcript.pyannote[1079].end 7814.97846875
transcript.pyannote[1080].speaker SPEAKER_17
transcript.pyannote[1080].start 7814.97846875
transcript.pyannote[1080].end 7818.69096875
transcript.pyannote[1081].speaker SPEAKER_05
transcript.pyannote[1081].start 7818.69096875
transcript.pyannote[1081].end 7819.60221875
transcript.pyannote[1082].speaker SPEAKER_17
transcript.pyannote[1082].start 7819.14659375
transcript.pyannote[1082].end 7820.73284375
transcript.pyannote[1083].speaker SPEAKER_05
transcript.pyannote[1083].start 7820.86784375
transcript.pyannote[1083].end 7821.10409375
transcript.pyannote[1084].speaker SPEAKER_05
transcript.pyannote[1084].start 7821.18846875
transcript.pyannote[1084].end 7824.14159375
transcript.pyannote[1085].speaker SPEAKER_03
transcript.pyannote[1085].start 7824.14159375
transcript.pyannote[1085].end 7824.63096875
transcript.pyannote[1086].speaker SPEAKER_05
transcript.pyannote[1086].start 7824.63096875
transcript.pyannote[1086].end 7824.91784375
transcript.pyannote[1087].speaker SPEAKER_03
transcript.pyannote[1087].start 7825.17096875
transcript.pyannote[1087].end 7825.50846875
transcript.pyannote[1088].speaker SPEAKER_03
transcript.pyannote[1088].start 7826.30159375
transcript.pyannote[1088].end 7826.41971875
transcript.pyannote[1089].speaker SPEAKER_03
transcript.pyannote[1089].start 7826.50409375
transcript.pyannote[1089].end 7833.06846875
transcript.pyannote[1090].speaker SPEAKER_03
transcript.pyannote[1090].start 7833.37221875
transcript.pyannote[1090].end 7839.05909375
transcript.pyannote[1091].speaker SPEAKER_17
transcript.pyannote[1091].start 7839.93659375
transcript.pyannote[1091].end 7848.28971875
transcript.pyannote[1092].speaker SPEAKER_03
transcript.pyannote[1092].start 7845.70784375
transcript.pyannote[1092].end 7845.94409375
transcript.pyannote[1093].speaker SPEAKER_03
transcript.pyannote[1093].start 7847.58096875
transcript.pyannote[1093].end 7852.79534375
transcript.pyannote[1094].speaker SPEAKER_17
transcript.pyannote[1094].start 7853.11596875
transcript.pyannote[1094].end 7854.44909375
transcript.pyannote[1095].speaker SPEAKER_17
transcript.pyannote[1095].start 7854.76971875
transcript.pyannote[1095].end 7865.78909375
transcript.pyannote[1096].speaker SPEAKER_03
transcript.pyannote[1096].start 7865.36721875
transcript.pyannote[1096].end 7869.18096875
transcript.pyannote[1097].speaker SPEAKER_03
transcript.pyannote[1097].start 7869.58596875
transcript.pyannote[1097].end 7874.29409375
transcript.pyannote[1098].speaker SPEAKER_03
transcript.pyannote[1098].start 7874.86784375
transcript.pyannote[1098].end 7877.90534375
transcript.pyannote[1099].speaker SPEAKER_17
transcript.pyannote[1099].start 7878.36096875
transcript.pyannote[1099].end 7882.29284375
transcript.pyannote[1100].speaker SPEAKER_03
transcript.pyannote[1100].start 7883.00159375
transcript.pyannote[1100].end 7885.87034375
transcript.pyannote[1101].speaker SPEAKER_17
transcript.pyannote[1101].start 7885.38096875
transcript.pyannote[1101].end 7887.50721875
transcript.pyannote[1102].speaker SPEAKER_03
transcript.pyannote[1102].start 7887.15284375
transcript.pyannote[1102].end 7887.69284375
transcript.pyannote[1103].speaker SPEAKER_03
transcript.pyannote[1103].start 7888.30034375
transcript.pyannote[1103].end 7890.20721875
transcript.pyannote[1104].speaker SPEAKER_17
transcript.pyannote[1104].start 7890.73034375
transcript.pyannote[1104].end 7891.16909375
transcript.pyannote[1105].speaker SPEAKER_17
transcript.pyannote[1105].start 7891.87784375
transcript.pyannote[1105].end 7892.38409375
transcript.pyannote[1106].speaker SPEAKER_17
transcript.pyannote[1106].start 7892.46846875
transcript.pyannote[1106].end 7894.05471875
transcript.pyannote[1107].speaker SPEAKER_03
transcript.pyannote[1107].start 7894.32471875
transcript.pyannote[1107].end 7894.37534375
transcript.pyannote[1108].speaker SPEAKER_05
transcript.pyannote[1108].start 7894.37534375
transcript.pyannote[1108].end 7894.49346875
transcript.pyannote[1109].speaker SPEAKER_03
transcript.pyannote[1109].start 7894.49346875
transcript.pyannote[1109].end 7894.51034375
transcript.pyannote[1110].speaker SPEAKER_05
transcript.pyannote[1110].start 7894.83096875
transcript.pyannote[1110].end 7894.86471875
transcript.pyannote[1111].speaker SPEAKER_03
transcript.pyannote[1111].start 7894.86471875
transcript.pyannote[1111].end 7894.89846875
transcript.pyannote[1112].speaker SPEAKER_05
transcript.pyannote[1112].start 7894.89846875
transcript.pyannote[1112].end 7894.91534375
transcript.pyannote[1113].speaker SPEAKER_03
transcript.pyannote[1113].start 7894.91534375
transcript.pyannote[1113].end 7894.93221875
transcript.pyannote[1114].speaker SPEAKER_17
transcript.pyannote[1114].start 7895.70846875
transcript.pyannote[1114].end 7896.07971875
transcript.pyannote[1115].speaker SPEAKER_17
transcript.pyannote[1115].start 7896.41721875
transcript.pyannote[1115].end 7896.85596875
transcript.pyannote[1116].speaker SPEAKER_05
transcript.pyannote[1116].start 7897.34534375
transcript.pyannote[1116].end 7897.44659375
transcript.pyannote[1117].speaker SPEAKER_05
transcript.pyannote[1117].start 7898.93159375
transcript.pyannote[1117].end 7901.27721875
transcript.pyannote[1118].speaker SPEAKER_05
transcript.pyannote[1118].start 7901.42909375
transcript.pyannote[1118].end 7901.44596875
transcript.pyannote[1119].speaker SPEAKER_17
transcript.pyannote[1119].start 7901.44596875
transcript.pyannote[1119].end 7901.56409375
transcript.pyannote[1120].speaker SPEAKER_05
transcript.pyannote[1120].start 7901.56409375
transcript.pyannote[1120].end 7902.67784375
transcript.pyannote[1121].speaker SPEAKER_26
transcript.pyannote[1121].start 7903.92659375
transcript.pyannote[1121].end 7905.51284375
transcript.pyannote[1122].speaker SPEAKER_26
transcript.pyannote[1122].start 7906.17096875
transcript.pyannote[1122].end 7907.30159375
transcript.pyannote[1123].speaker SPEAKER_08
transcript.pyannote[1123].start 7997.75159375
transcript.pyannote[1123].end 7997.85284375
transcript.pyannote[1124].speaker SPEAKER_08
transcript.pyannote[1124].start 7997.97096875
transcript.pyannote[1124].end 8001.02534375
transcript.pyannote[1125].speaker SPEAKER_08
transcript.pyannote[1125].start 8001.49784375
transcript.pyannote[1125].end 8002.03784375
transcript.pyannote[1126].speaker SPEAKER_08
transcript.pyannote[1126].start 8025.96659375
transcript.pyannote[1126].end 8028.16034375
transcript.pyannote[1127].speaker SPEAKER_03
transcript.pyannote[1127].start 8028.16034375
transcript.pyannote[1127].end 8029.29096875
transcript.pyannote[1128].speaker SPEAKER_03
transcript.pyannote[1128].start 8030.43846875
transcript.pyannote[1128].end 8032.93596875
transcript.pyannote[1129].speaker SPEAKER_03
transcript.pyannote[1129].start 8033.27346875
transcript.pyannote[1129].end 8033.79659375
transcript.pyannote[1130].speaker SPEAKER_08
transcript.pyannote[1130].start 8069.14971875
transcript.pyannote[1130].end 8070.76971875
transcript.pyannote[1131].speaker SPEAKER_08
transcript.pyannote[1131].start 8070.97221875
transcript.pyannote[1131].end 8071.41096875
transcript.pyannote[1132].speaker SPEAKER_08
transcript.pyannote[1132].start 8071.57971875
transcript.pyannote[1132].end 8071.63034375
transcript.pyannote[1133].speaker SPEAKER_08
transcript.pyannote[1133].start 8071.96784375
transcript.pyannote[1133].end 8080.91159375
transcript.pyannote[1134].speaker SPEAKER_08
transcript.pyannote[1134].start 8081.19846875
transcript.pyannote[1134].end 8081.80596875
transcript.pyannote[1135].speaker SPEAKER_08
transcript.pyannote[1135].start 8083.67909375
transcript.pyannote[1135].end 8084.40471875
transcript.pyannote[1136].speaker SPEAKER_08
transcript.pyannote[1136].start 8117.96909375
transcript.pyannote[1136].end 8118.03659375
transcript.pyannote[1137].speaker SPEAKER_08
transcript.pyannote[1137].start 8119.67346875
transcript.pyannote[1137].end 8121.20909375
transcript.pyannote[1138].speaker SPEAKER_08
transcript.pyannote[1138].start 8121.24284375
transcript.pyannote[1138].end 8121.88409375
transcript.pyannote[1139].speaker SPEAKER_08
transcript.pyannote[1139].start 8121.96846875
transcript.pyannote[1139].end 8122.28909375
transcript.pyannote[1140].speaker SPEAKER_08
transcript.pyannote[1140].start 8122.30596875
transcript.pyannote[1140].end 8122.32284375
transcript.pyannote[1141].speaker SPEAKER_08
transcript.pyannote[1141].start 8122.99784375
transcript.pyannote[1141].end 8123.38596875
transcript.pyannote[1142].speaker SPEAKER_08
transcript.pyannote[1142].start 8123.99346875
transcript.pyannote[1142].end 8124.41534375
transcript.pyannote[1143].speaker SPEAKER_08
transcript.pyannote[1143].start 8124.97221875
transcript.pyannote[1143].end 8129.83221875
transcript.pyannote[1144].speaker SPEAKER_08
transcript.pyannote[1144].start 8129.89971875
transcript.pyannote[1144].end 8138.55659375
transcript.pyannote[1145].speaker SPEAKER_08
transcript.pyannote[1145].start 8144.31096875
transcript.pyannote[1145].end 8144.83409375
transcript.pyannote[1146].speaker SPEAKER_08
transcript.pyannote[1146].start 8144.96909375
transcript.pyannote[1146].end 8146.74096875
transcript.pyannote[1147].speaker SPEAKER_08
transcript.pyannote[1147].start 8147.14596875
transcript.pyannote[1147].end 8148.04034375
transcript.pyannote[1148].speaker SPEAKER_08
transcript.pyannote[1148].start 8149.96409375
transcript.pyannote[1148].end 8150.03159375
transcript.pyannote[1149].speaker SPEAKER_08
transcript.pyannote[1149].start 8150.28471875
transcript.pyannote[1149].end 8150.75721875
transcript.pyannote[1150].speaker SPEAKER_35
transcript.pyannote[1150].start 8240.51534375
transcript.pyannote[1150].end 8241.19034375
transcript.pyannote[1151].speaker SPEAKER_08
transcript.pyannote[1151].start 8317.97159375
transcript.pyannote[1151].end 8318.03909375
transcript.pyannote[1152].speaker SPEAKER_08
transcript.pyannote[1152].start 8322.74721875
transcript.pyannote[1152].end 8323.21971875
transcript.pyannote[1153].speaker SPEAKER_26
transcript.pyannote[1153].start 8514.71721875
transcript.pyannote[1153].end 8516.35409375
transcript.pyannote[1154].speaker SPEAKER_26
transcript.pyannote[1154].start 8517.97409375
transcript.pyannote[1154].end 8520.33659375
transcript.pyannote[1155].speaker SPEAKER_15
transcript.pyannote[1155].start 8530.12409375
transcript.pyannote[1155].end 8534.42721875
transcript.pyannote[1156].speaker SPEAKER_26
transcript.pyannote[1156].start 8534.66346875
transcript.pyannote[1156].end 8535.60846875
transcript.pyannote[1157].speaker SPEAKER_15
transcript.pyannote[1157].start 8543.86034375
transcript.pyannote[1157].end 8544.77159375
transcript.pyannote[1158].speaker SPEAKER_15
transcript.pyannote[1158].start 8545.63221875
transcript.pyannote[1158].end 8554.25534375
transcript.pyannote[1159].speaker SPEAKER_15
transcript.pyannote[1159].start 8554.49159375
transcript.pyannote[1159].end 8562.76034375
transcript.pyannote[1160].speaker SPEAKER_15
transcript.pyannote[1160].start 8563.65471875
transcript.pyannote[1160].end 8568.19409375
transcript.pyannote[1161].speaker SPEAKER_15
transcript.pyannote[1161].start 8568.37971875
transcript.pyannote[1161].end 8570.59034375
transcript.pyannote[1162].speaker SPEAKER_15
transcript.pyannote[1162].start 8570.97846875
transcript.pyannote[1162].end 8572.14284375
transcript.pyannote[1163].speaker SPEAKER_15
transcript.pyannote[1163].start 8572.22721875
transcript.pyannote[1163].end 8576.71596875
transcript.pyannote[1164].speaker SPEAKER_07
transcript.pyannote[1164].start 8576.71596875
transcript.pyannote[1164].end 8577.15471875
transcript.pyannote[1165].speaker SPEAKER_15
transcript.pyannote[1165].start 8577.64409375
transcript.pyannote[1165].end 8589.35534375
transcript.pyannote[1166].speaker SPEAKER_15
transcript.pyannote[1166].start 8590.38471875
transcript.pyannote[1166].end 8591.29596875
transcript.pyannote[1167].speaker SPEAKER_15
transcript.pyannote[1167].start 8591.86971875
transcript.pyannote[1167].end 8593.35471875
transcript.pyannote[1168].speaker SPEAKER_15
transcript.pyannote[1168].start 8593.74284375
transcript.pyannote[1168].end 8595.04221875
transcript.pyannote[1169].speaker SPEAKER_15
transcript.pyannote[1169].start 8595.75096875
transcript.pyannote[1169].end 8597.62409375
transcript.pyannote[1170].speaker SPEAKER_15
transcript.pyannote[1170].start 8598.21471875
transcript.pyannote[1170].end 8600.29034375
transcript.pyannote[1171].speaker SPEAKER_15
transcript.pyannote[1171].start 8600.98221875
transcript.pyannote[1171].end 8605.90971875
transcript.pyannote[1172].speaker SPEAKER_15
transcript.pyannote[1172].start 8606.80409375
transcript.pyannote[1172].end 8608.30596875
transcript.pyannote[1173].speaker SPEAKER_15
transcript.pyannote[1173].start 8608.39034375
transcript.pyannote[1173].end 8608.82909375
transcript.pyannote[1174].speaker SPEAKER_15
transcript.pyannote[1174].start 8608.96409375
transcript.pyannote[1174].end 8613.53721875
transcript.pyannote[1175].speaker SPEAKER_15
transcript.pyannote[1175].start 8613.89159375
transcript.pyannote[1175].end 8615.64659375
transcript.pyannote[1176].speaker SPEAKER_05
transcript.pyannote[1176].start 8616.01784375
transcript.pyannote[1176].end 8627.61096875
transcript.pyannote[1177].speaker SPEAKER_15
transcript.pyannote[1177].start 8626.63221875
transcript.pyannote[1177].end 8627.88096875
transcript.pyannote[1178].speaker SPEAKER_05
transcript.pyannote[1178].start 8627.88096875
transcript.pyannote[1178].end 8627.91471875
transcript.pyannote[1179].speaker SPEAKER_15
transcript.pyannote[1179].start 8627.91471875
transcript.pyannote[1179].end 8627.96534375
transcript.pyannote[1180].speaker SPEAKER_15
transcript.pyannote[1180].start 8628.99471875
transcript.pyannote[1180].end 8631.01971875
transcript.pyannote[1181].speaker SPEAKER_15
transcript.pyannote[1181].start 8632.35284375
transcript.pyannote[1181].end 8646.03846875
transcript.pyannote[1182].speaker SPEAKER_15
transcript.pyannote[1182].start 8646.08909375
transcript.pyannote[1182].end 8647.48971875
transcript.pyannote[1183].speaker SPEAKER_05
transcript.pyannote[1183].start 8647.28721875
transcript.pyannote[1183].end 8649.76784375
transcript.pyannote[1184].speaker SPEAKER_15
transcript.pyannote[1184].start 8649.76784375
transcript.pyannote[1184].end 8654.02034375
transcript.pyannote[1185].speaker SPEAKER_15
transcript.pyannote[1185].start 8655.28596875
transcript.pyannote[1185].end 8657.14221875
transcript.pyannote[1186].speaker SPEAKER_35
transcript.pyannote[1186].start 8657.14221875
transcript.pyannote[1186].end 8657.91846875
transcript.pyannote[1187].speaker SPEAKER_15
transcript.pyannote[1187].start 8657.37846875
transcript.pyannote[1187].end 8658.35721875
transcript.pyannote[1188].speaker SPEAKER_35
transcript.pyannote[1188].start 8658.35721875
transcript.pyannote[1188].end 8658.64409375
transcript.pyannote[1189].speaker SPEAKER_15
transcript.pyannote[1189].start 8659.18409375
transcript.pyannote[1189].end 8664.66846875
transcript.pyannote[1190].speaker SPEAKER_35
transcript.pyannote[1190].start 8664.66846875
transcript.pyannote[1190].end 8664.88784375
transcript.pyannote[1191].speaker SPEAKER_15
transcript.pyannote[1191].start 8664.88784375
transcript.pyannote[1191].end 8681.10471875
transcript.pyannote[1192].speaker SPEAKER_15
transcript.pyannote[1192].start 8681.47596875
transcript.pyannote[1192].end 8692.74846875
transcript.pyannote[1193].speaker SPEAKER_15
transcript.pyannote[1193].start 8692.84971875
transcript.pyannote[1193].end 8696.08971875
transcript.pyannote[1194].speaker SPEAKER_15
transcript.pyannote[1194].start 8696.46096875
transcript.pyannote[1194].end 8725.85721875
transcript.pyannote[1195].speaker SPEAKER_05
transcript.pyannote[1195].start 8725.85721875
transcript.pyannote[1195].end 8726.49846875
transcript.pyannote[1196].speaker SPEAKER_15
transcript.pyannote[1196].start 8726.49846875
transcript.pyannote[1196].end 8727.94971875
transcript.pyannote[1197].speaker SPEAKER_15
transcript.pyannote[1197].start 8728.25346875
transcript.pyannote[1197].end 8731.07159375
transcript.pyannote[1198].speaker SPEAKER_15
transcript.pyannote[1198].start 8731.59471875
transcript.pyannote[1198].end 8732.55659375
transcript.pyannote[1199].speaker SPEAKER_15
transcript.pyannote[1199].start 8732.96159375
transcript.pyannote[1199].end 8735.20596875
transcript.pyannote[1200].speaker SPEAKER_15
transcript.pyannote[1200].start 8735.89784375
transcript.pyannote[1200].end 8742.39471875
transcript.pyannote[1201].speaker SPEAKER_15
transcript.pyannote[1201].start 8742.61409375
transcript.pyannote[1201].end 8745.17909375
transcript.pyannote[1202].speaker SPEAKER_05
transcript.pyannote[1202].start 8745.61784375
transcript.pyannote[1202].end 8758.13909375
transcript.pyannote[1203].speaker SPEAKER_15
transcript.pyannote[1203].start 8745.73596875
transcript.pyannote[1203].end 8746.02284375
transcript.pyannote[1204].speaker SPEAKER_15
transcript.pyannote[1204].start 8758.13909375
transcript.pyannote[1204].end 8763.21846875
transcript.pyannote[1205].speaker SPEAKER_05
transcript.pyannote[1205].start 8761.88534375
transcript.pyannote[1205].end 8763.16784375
transcript.pyannote[1206].speaker SPEAKER_15
transcript.pyannote[1206].start 8763.65721875
transcript.pyannote[1206].end 8764.51784375
transcript.pyannote[1207].speaker SPEAKER_35
transcript.pyannote[1207].start 8764.51784375
transcript.pyannote[1207].end 8764.77096875
transcript.pyannote[1208].speaker SPEAKER_15
transcript.pyannote[1208].start 8764.77096875
transcript.pyannote[1208].end 8776.73534375
transcript.pyannote[1209].speaker SPEAKER_05
transcript.pyannote[1209].start 8776.38096875
transcript.pyannote[1209].end 8778.99659375
transcript.pyannote[1210].speaker SPEAKER_15
transcript.pyannote[1210].start 8778.82784375
transcript.pyannote[1210].end 8791.97346875
transcript.pyannote[1211].speaker SPEAKER_05
transcript.pyannote[1211].start 8791.97346875
transcript.pyannote[1211].end 8792.00721875
transcript.pyannote[1212].speaker SPEAKER_35
transcript.pyannote[1212].start 8792.41221875
transcript.pyannote[1212].end 8793.08721875
transcript.pyannote[1213].speaker SPEAKER_05
transcript.pyannote[1213].start 8793.45846875
transcript.pyannote[1213].end 8804.07284375
transcript.pyannote[1214].speaker SPEAKER_15
transcript.pyannote[1214].start 8804.07284375
transcript.pyannote[1214].end 8814.21471875
transcript.pyannote[1215].speaker SPEAKER_05
transcript.pyannote[1215].start 8809.10159375
transcript.pyannote[1215].end 8809.79346875
transcript.pyannote[1216].speaker SPEAKER_15
transcript.pyannote[1216].start 8814.53534375
transcript.pyannote[1216].end 8816.62784375
transcript.pyannote[1217].speaker SPEAKER_05
transcript.pyannote[1217].start 8816.62784375
transcript.pyannote[1217].end 8817.58971875
transcript.pyannote[1218].speaker SPEAKER_15
transcript.pyannote[1218].start 8817.58971875
transcript.pyannote[1218].end 8834.14409375
transcript.pyannote[1219].speaker SPEAKER_15
transcript.pyannote[1219].start 8834.32971875
transcript.pyannote[1219].end 8837.38409375
transcript.pyannote[1220].speaker SPEAKER_05
transcript.pyannote[1220].start 8836.55721875
transcript.pyannote[1220].end 8837.90721875
transcript.pyannote[1221].speaker SPEAKER_15
transcript.pyannote[1221].start 8837.80596875
transcript.pyannote[1221].end 8837.83971875
transcript.pyannote[1222].speaker SPEAKER_15
transcript.pyannote[1222].start 8837.87346875
transcript.pyannote[1222].end 8842.73346875
transcript.pyannote[1223].speaker SPEAKER_05
transcript.pyannote[1223].start 8843.81346875
transcript.pyannote[1223].end 8846.34471875
transcript.pyannote[1224].speaker SPEAKER_15
transcript.pyannote[1224].start 8846.09159375
transcript.pyannote[1224].end 8846.42909375
transcript.pyannote[1225].speaker SPEAKER_05
transcript.pyannote[1225].start 8846.42909375
transcript.pyannote[1225].end 8848.20096875
transcript.pyannote[1226].speaker SPEAKER_15
transcript.pyannote[1226].start 8848.20096875
transcript.pyannote[1226].end 8861.29596875
transcript.pyannote[1227].speaker SPEAKER_05
transcript.pyannote[1227].start 8848.28534375
transcript.pyannote[1227].end 8848.75784375
transcript.pyannote[1228].speaker SPEAKER_15
transcript.pyannote[1228].start 8861.97096875
transcript.pyannote[1228].end 8863.59096875
transcript.pyannote[1229].speaker SPEAKER_05
transcript.pyannote[1229].start 8863.59096875
transcript.pyannote[1229].end 8868.18096875
transcript.pyannote[1230].speaker SPEAKER_15
transcript.pyannote[1230].start 8867.72534375
transcript.pyannote[1230].end 8871.11721875
transcript.pyannote[1231].speaker SPEAKER_05
transcript.pyannote[1231].start 8871.11721875
transcript.pyannote[1231].end 8871.42096875
transcript.pyannote[1232].speaker SPEAKER_15
transcript.pyannote[1232].start 8871.42096875
transcript.pyannote[1232].end 8874.81284375
transcript.pyannote[1233].speaker SPEAKER_05
transcript.pyannote[1233].start 8871.43784375
transcript.pyannote[1233].end 8871.53909375
transcript.pyannote[1234].speaker SPEAKER_05
transcript.pyannote[1234].start 8874.42471875
transcript.pyannote[1234].end 8876.44971875
transcript.pyannote[1235].speaker SPEAKER_15
transcript.pyannote[1235].start 8876.07846875
transcript.pyannote[1235].end 8883.90846875
transcript.pyannote[1236].speaker SPEAKER_05
transcript.pyannote[1236].start 8883.90846875
transcript.pyannote[1236].end 8889.30846875
transcript.pyannote[1237].speaker SPEAKER_05
transcript.pyannote[1237].start 8889.42659375
transcript.pyannote[1237].end 8889.46034375
transcript.pyannote[1238].speaker SPEAKER_15
transcript.pyannote[1238].start 8889.46034375
transcript.pyannote[1238].end 8890.79346875
transcript.pyannote[1239].speaker SPEAKER_05
transcript.pyannote[1239].start 8889.57846875
transcript.pyannote[1239].end 8889.71346875
transcript.pyannote[1240].speaker SPEAKER_15
transcript.pyannote[1240].start 8892.02534375
transcript.pyannote[1240].end 8894.08409375
transcript.pyannote[1241].speaker SPEAKER_05
transcript.pyannote[1241].start 8894.75909375
transcript.pyannote[1241].end 8900.80034375
transcript.pyannote[1242].speaker SPEAKER_15
transcript.pyannote[1242].start 8900.80034375
transcript.pyannote[1242].end 8902.38659375
transcript.pyannote[1243].speaker SPEAKER_15
transcript.pyannote[1243].start 8902.74096875
transcript.pyannote[1243].end 8910.53721875
transcript.pyannote[1244].speaker SPEAKER_05
transcript.pyannote[1244].start 8911.56659375
transcript.pyannote[1244].end 8916.91596875
transcript.pyannote[1245].speaker SPEAKER_15
transcript.pyannote[1245].start 8916.52784375
transcript.pyannote[1245].end 8917.55721875
transcript.pyannote[1246].speaker SPEAKER_05
transcript.pyannote[1246].start 8917.55721875
transcript.pyannote[1246].end 8917.59096875
transcript.pyannote[1247].speaker SPEAKER_15
transcript.pyannote[1247].start 8917.59096875
transcript.pyannote[1247].end 8920.57784375
transcript.pyannote[1248].speaker SPEAKER_15
transcript.pyannote[1248].start 8921.52284375
transcript.pyannote[1248].end 8926.14659375
transcript.pyannote[1249].speaker SPEAKER_15
transcript.pyannote[1249].start 8926.55159375
transcript.pyannote[1249].end 8931.96846875
transcript.pyannote[1250].speaker SPEAKER_05
transcript.pyannote[1250].start 8931.96846875
transcript.pyannote[1250].end 8932.00221875
transcript.pyannote[1251].speaker SPEAKER_15
transcript.pyannote[1251].start 8932.00221875
transcript.pyannote[1251].end 8932.01909375
transcript.pyannote[1252].speaker SPEAKER_05
transcript.pyannote[1252].start 8932.01909375
transcript.pyannote[1252].end 8932.03596875
transcript.pyannote[1253].speaker SPEAKER_15
transcript.pyannote[1253].start 8932.03596875
transcript.pyannote[1253].end 8932.05284375
transcript.pyannote[1254].speaker SPEAKER_05
transcript.pyannote[1254].start 8932.44096875
transcript.pyannote[1254].end 8934.22971875
transcript.pyannote[1255].speaker SPEAKER_15
transcript.pyannote[1255].start 8934.22971875
transcript.pyannote[1255].end 8934.28034375
transcript.pyannote[1256].speaker SPEAKER_03
transcript.pyannote[1256].start 8934.28034375
transcript.pyannote[1256].end 8940.50721875
transcript.pyannote[1257].speaker SPEAKER_03
transcript.pyannote[1257].start 8940.76034375
transcript.pyannote[1257].end 8945.73846875
transcript.pyannote[1258].speaker SPEAKER_15
transcript.pyannote[1258].start 8943.12284375
transcript.pyannote[1258].end 8943.67971875
transcript.pyannote[1259].speaker SPEAKER_15
transcript.pyannote[1259].start 8945.73846875
transcript.pyannote[1259].end 8945.75534375
transcript.pyannote[1260].speaker SPEAKER_03
transcript.pyannote[1260].start 8945.75534375
transcript.pyannote[1260].end 8945.78909375
transcript.pyannote[1261].speaker SPEAKER_15
transcript.pyannote[1261].start 8945.78909375
transcript.pyannote[1261].end 8949.34971875
transcript.pyannote[1262].speaker SPEAKER_15
transcript.pyannote[1262].start 8949.77159375
transcript.pyannote[1262].end 8951.37471875
transcript.pyannote[1263].speaker SPEAKER_15
transcript.pyannote[1263].start 8951.94846875
transcript.pyannote[1263].end 8955.71159375
transcript.pyannote[1264].speaker SPEAKER_15
transcript.pyannote[1264].start 8956.09971875
transcript.pyannote[1264].end 8957.01096875
transcript.pyannote[1265].speaker SPEAKER_15
transcript.pyannote[1265].start 8957.11221875
transcript.pyannote[1265].end 8960.43659375
transcript.pyannote[1266].speaker SPEAKER_15
transcript.pyannote[1266].start 8961.34784375
transcript.pyannote[1266].end 8973.10971875
transcript.pyannote[1267].speaker SPEAKER_15
transcript.pyannote[1267].start 8973.46409375
transcript.pyannote[1267].end 8976.48471875
transcript.pyannote[1268].speaker SPEAKER_05
transcript.pyannote[1268].start 8976.61971875
transcript.pyannote[1268].end 8977.86846875
transcript.pyannote[1269].speaker SPEAKER_15
transcript.pyannote[1269].start 8977.32846875
transcript.pyannote[1269].end 8980.65284375
transcript.pyannote[1270].speaker SPEAKER_05
transcript.pyannote[1270].start 8978.07096875
transcript.pyannote[1270].end 8978.15534375
transcript.pyannote[1271].speaker SPEAKER_05
transcript.pyannote[1271].start 8979.57284375
transcript.pyannote[1271].end 8980.01159375
transcript.pyannote[1272].speaker SPEAKER_05
transcript.pyannote[1272].start 8980.65284375
transcript.pyannote[1272].end 8980.97346875
transcript.pyannote[1273].speaker SPEAKER_15
transcript.pyannote[1273].start 8980.97346875
transcript.pyannote[1273].end 8992.73534375
transcript.pyannote[1274].speaker SPEAKER_05
transcript.pyannote[1274].start 8981.04096875
transcript.pyannote[1274].end 8981.14221875
transcript.pyannote[1275].speaker SPEAKER_15
transcript.pyannote[1275].start 8992.81971875
transcript.pyannote[1275].end 8992.85346875
transcript.pyannote[1276].speaker SPEAKER_05
transcript.pyannote[1276].start 8992.85346875
transcript.pyannote[1276].end 8995.21596875
transcript.pyannote[1277].speaker SPEAKER_15
transcript.pyannote[1277].start 8995.21596875
transcript.pyannote[1277].end 8997.30846875
transcript.pyannote[1278].speaker SPEAKER_05
transcript.pyannote[1278].start 8997.67971875
transcript.pyannote[1278].end 8997.89909375
transcript.pyannote[1279].speaker SPEAKER_03
transcript.pyannote[1279].start 8998.86096875
transcript.pyannote[1279].end 9000.58221875
transcript.pyannote[1280].speaker SPEAKER_03
transcript.pyannote[1280].start 9000.81846875
transcript.pyannote[1280].end 9002.74221875
transcript.pyannote[1281].speaker SPEAKER_15
transcript.pyannote[1281].start 9002.18534375
transcript.pyannote[1281].end 9013.84596875
transcript.pyannote[1282].speaker SPEAKER_03
transcript.pyannote[1282].start 9003.43409375
transcript.pyannote[1282].end 9004.39596875
transcript.pyannote[1283].speaker SPEAKER_15
transcript.pyannote[1283].start 9014.03159375
transcript.pyannote[1283].end 9014.55471875
transcript.pyannote[1284].speaker SPEAKER_15
transcript.pyannote[1284].start 9015.26346875
transcript.pyannote[1284].end 9017.32221875
transcript.pyannote[1285].speaker SPEAKER_15
transcript.pyannote[1285].start 9017.92971875
transcript.pyannote[1285].end 9019.43159375
transcript.pyannote[1286].speaker SPEAKER_15
transcript.pyannote[1286].start 9019.93784375
transcript.pyannote[1286].end 9022.80659375
transcript.pyannote[1287].speaker SPEAKER_15
transcript.pyannote[1287].start 9022.90784375
transcript.pyannote[1287].end 9024.76409375
transcript.pyannote[1288].speaker SPEAKER_35
transcript.pyannote[1288].start 9024.76409375
transcript.pyannote[1288].end 9025.47284375
transcript.pyannote[1289].speaker SPEAKER_15
transcript.pyannote[1289].start 9025.11846875
transcript.pyannote[1289].end 9030.75471875
transcript.pyannote[1290].speaker SPEAKER_05
transcript.pyannote[1290].start 9030.75471875
transcript.pyannote[1290].end 9030.97409375
transcript.pyannote[1291].speaker SPEAKER_35
transcript.pyannote[1291].start 9030.97409375
transcript.pyannote[1291].end 9030.99096875
transcript.pyannote[1292].speaker SPEAKER_15
transcript.pyannote[1292].start 9031.32846875
transcript.pyannote[1292].end 9032.35784375
transcript.pyannote[1293].speaker SPEAKER_15
transcript.pyannote[1293].start 9032.79659375
transcript.pyannote[1293].end 9033.77534375
transcript.pyannote[1294].speaker SPEAKER_15
transcript.pyannote[1294].start 9034.11284375
transcript.pyannote[1294].end 9034.72034375
transcript.pyannote[1295].speaker SPEAKER_15
transcript.pyannote[1295].start 9035.24346875
transcript.pyannote[1295].end 9039.39471875
transcript.pyannote[1296].speaker SPEAKER_15
transcript.pyannote[1296].start 9039.81659375
transcript.pyannote[1296].end 9040.71096875
transcript.pyannote[1297].speaker SPEAKER_15
transcript.pyannote[1297].start 9040.99784375
transcript.pyannote[1297].end 9042.82034375
transcript.pyannote[1298].speaker SPEAKER_15
transcript.pyannote[1298].start 9043.10721875
transcript.pyannote[1298].end 9043.91721875
transcript.pyannote[1299].speaker SPEAKER_15
transcript.pyannote[1299].start 9044.22096875
transcript.pyannote[1299].end 9046.83659375
transcript.pyannote[1300].speaker SPEAKER_15
transcript.pyannote[1300].start 9047.10659375
transcript.pyannote[1300].end 9057.06284375
transcript.pyannote[1301].speaker SPEAKER_15
transcript.pyannote[1301].start 9057.67034375
transcript.pyannote[1301].end 9060.50534375
transcript.pyannote[1302].speaker SPEAKER_05
transcript.pyannote[1302].start 9059.49284375
transcript.pyannote[1302].end 9060.35346875
transcript.pyannote[1303].speaker SPEAKER_05
transcript.pyannote[1303].start 9060.67409375
transcript.pyannote[1303].end 9067.79534375
transcript.pyannote[1304].speaker SPEAKER_15
transcript.pyannote[1304].start 9067.79534375
transcript.pyannote[1304].end 9073.68471875
transcript.pyannote[1305].speaker SPEAKER_05
transcript.pyannote[1305].start 9068.30159375
transcript.pyannote[1305].end 9069.04409375
transcript.pyannote[1306].speaker SPEAKER_05
transcript.pyannote[1306].start 9073.76909375
transcript.pyannote[1306].end 9073.83659375
transcript.pyannote[1307].speaker SPEAKER_35
transcript.pyannote[1307].start 9073.83659375
transcript.pyannote[1307].end 9073.87034375
transcript.pyannote[1308].speaker SPEAKER_05
transcript.pyannote[1308].start 9073.87034375
transcript.pyannote[1308].end 9073.88721875
transcript.pyannote[1309].speaker SPEAKER_15
transcript.pyannote[1309].start 9074.64659375
transcript.pyannote[1309].end 9075.16971875
transcript.pyannote[1310].speaker SPEAKER_15
transcript.pyannote[1310].start 9075.94596875
transcript.pyannote[1310].end 9076.94159375
transcript.pyannote[1311].speaker SPEAKER_15
transcript.pyannote[1311].start 9077.93721875
transcript.pyannote[1311].end 9080.95784375
transcript.pyannote[1312].speaker SPEAKER_15
transcript.pyannote[1312].start 9080.97471875
transcript.pyannote[1312].end 9080.99159375
transcript.pyannote[1313].speaker SPEAKER_15
transcript.pyannote[1313].start 9081.10971875
transcript.pyannote[1313].end 9081.12659375
transcript.pyannote[1314].speaker SPEAKER_05
transcript.pyannote[1314].start 9081.12659375
transcript.pyannote[1314].end 9082.17284375
transcript.pyannote[1315].speaker SPEAKER_15
transcript.pyannote[1315].start 9082.17284375
transcript.pyannote[1315].end 9082.24034375
transcript.pyannote[1316].speaker SPEAKER_15
transcript.pyannote[1316].start 9082.42596875
transcript.pyannote[1316].end 9082.76346875
transcript.pyannote[1317].speaker SPEAKER_15
transcript.pyannote[1317].start 9083.99534375
transcript.pyannote[1317].end 9084.87284375
transcript.pyannote[1318].speaker SPEAKER_15
transcript.pyannote[1318].start 9085.24409375
transcript.pyannote[1318].end 9088.26471875
transcript.pyannote[1319].speaker SPEAKER_35
transcript.pyannote[1319].start 9088.26471875
transcript.pyannote[1319].end 9088.58534375
transcript.pyannote[1320].speaker SPEAKER_15
transcript.pyannote[1320].start 9088.92284375
transcript.pyannote[1320].end 9094.71096875
transcript.pyannote[1321].speaker SPEAKER_15
transcript.pyannote[1321].start 9095.09909375
transcript.pyannote[1321].end 9099.23346875
transcript.pyannote[1322].speaker SPEAKER_15
transcript.pyannote[1322].start 9100.12784375
transcript.pyannote[1322].end 9102.72659375
transcript.pyannote[1323].speaker SPEAKER_15
transcript.pyannote[1323].start 9103.24971875
transcript.pyannote[1323].end 9108.95346875
transcript.pyannote[1324].speaker SPEAKER_15
transcript.pyannote[1324].start 9108.97034375
transcript.pyannote[1324].end 9109.05471875
transcript.pyannote[1325].speaker SPEAKER_15
transcript.pyannote[1325].start 9109.07159375
transcript.pyannote[1325].end 9115.19721875
transcript.pyannote[1326].speaker SPEAKER_35
transcript.pyannote[1326].start 9115.19721875
transcript.pyannote[1326].end 9115.46721875
transcript.pyannote[1327].speaker SPEAKER_15
transcript.pyannote[1327].start 9115.31534375
transcript.pyannote[1327].end 9117.05346875
transcript.pyannote[1328].speaker SPEAKER_15
transcript.pyannote[1328].start 9117.81284375
transcript.pyannote[1328].end 9118.35284375
transcript.pyannote[1329].speaker SPEAKER_15
transcript.pyannote[1329].start 9120.15846875
transcript.pyannote[1329].end 9122.53784375
transcript.pyannote[1330].speaker SPEAKER_15
transcript.pyannote[1330].start 9123.44909375
transcript.pyannote[1330].end 9125.05221875
transcript.pyannote[1331].speaker SPEAKER_15
transcript.pyannote[1331].start 9125.62596875
transcript.pyannote[1331].end 9127.33034375
transcript.pyannote[1332].speaker SPEAKER_15
transcript.pyannote[1332].start 9127.49909375
transcript.pyannote[1332].end 9129.20346875
transcript.pyannote[1333].speaker SPEAKER_35
transcript.pyannote[1333].start 9129.20346875
transcript.pyannote[1333].end 9129.33846875
transcript.pyannote[1334].speaker SPEAKER_15
transcript.pyannote[1334].start 9129.82784375
transcript.pyannote[1334].end 9130.43534375
transcript.pyannote[1335].speaker SPEAKER_15
transcript.pyannote[1335].start 9130.65471875
transcript.pyannote[1335].end 9136.17284375
transcript.pyannote[1336].speaker SPEAKER_15
transcript.pyannote[1336].start 9136.57784375
transcript.pyannote[1336].end 9140.47596875
transcript.pyannote[1337].speaker SPEAKER_05
transcript.pyannote[1337].start 9140.64471875
transcript.pyannote[1337].end 9147.09096875
transcript.pyannote[1338].speaker SPEAKER_05
transcript.pyannote[1338].start 9147.42846875
transcript.pyannote[1338].end 9156.47346875
transcript.pyannote[1339].speaker SPEAKER_15
transcript.pyannote[1339].start 9153.99284375
transcript.pyannote[1339].end 9154.36409375
transcript.pyannote[1340].speaker SPEAKER_15
transcript.pyannote[1340].start 9155.22471875
transcript.pyannote[1340].end 9155.37659375
transcript.pyannote[1341].speaker SPEAKER_15
transcript.pyannote[1341].start 9155.39346875
transcript.pyannote[1341].end 9160.62471875
transcript.pyannote[1342].speaker SPEAKER_05
transcript.pyannote[1342].start 9157.82346875
transcript.pyannote[1342].end 9159.19034375
transcript.pyannote[1343].speaker SPEAKER_15
transcript.pyannote[1343].start 9161.01284375
transcript.pyannote[1343].end 9167.99909375
transcript.pyannote[1344].speaker SPEAKER_35
transcript.pyannote[1344].start 9167.99909375
transcript.pyannote[1344].end 9168.25221875
transcript.pyannote[1345].speaker SPEAKER_15
transcript.pyannote[1345].start 9168.25221875
transcript.pyannote[1345].end 9174.95159375
transcript.pyannote[1346].speaker SPEAKER_15
transcript.pyannote[1346].start 9175.37346875
transcript.pyannote[1346].end 9181.16159375
transcript.pyannote[1347].speaker SPEAKER_35
transcript.pyannote[1347].start 9181.16159375
transcript.pyannote[1347].end 9181.68471875
transcript.pyannote[1348].speaker SPEAKER_15
transcript.pyannote[1348].start 9181.49909375
transcript.pyannote[1348].end 9189.07596875
transcript.pyannote[1349].speaker SPEAKER_35
transcript.pyannote[1349].start 9181.70159375
transcript.pyannote[1349].end 9181.90409375
transcript.pyannote[1350].speaker SPEAKER_15
transcript.pyannote[1350].start 9189.31221875
transcript.pyannote[1350].end 9196.77096875
transcript.pyannote[1351].speaker SPEAKER_15
transcript.pyannote[1351].start 9197.64846875
transcript.pyannote[1351].end 9205.12409375
transcript.pyannote[1352].speaker SPEAKER_35
transcript.pyannote[1352].start 9201.68159375
transcript.pyannote[1352].end 9202.45784375
transcript.pyannote[1353].speaker SPEAKER_35
transcript.pyannote[1353].start 9205.12409375
transcript.pyannote[1353].end 9205.44471875
transcript.pyannote[1354].speaker SPEAKER_15
transcript.pyannote[1354].start 9205.44471875
transcript.pyannote[1354].end 9207.06471875
transcript.pyannote[1355].speaker SPEAKER_15
transcript.pyannote[1355].start 9207.21659375
transcript.pyannote[1355].end 9208.68471875
transcript.pyannote[1356].speaker SPEAKER_35
transcript.pyannote[1356].start 9208.68471875
transcript.pyannote[1356].end 9209.00534375
transcript.pyannote[1357].speaker SPEAKER_15
transcript.pyannote[1357].start 9209.00534375
transcript.pyannote[1357].end 9210.91221875
transcript.pyannote[1358].speaker SPEAKER_15
transcript.pyannote[1358].start 9211.38471875
transcript.pyannote[1358].end 9211.92471875
transcript.pyannote[1359].speaker SPEAKER_15
transcript.pyannote[1359].start 9212.56596875
transcript.pyannote[1359].end 9223.36596875
transcript.pyannote[1360].speaker SPEAKER_15
transcript.pyannote[1360].start 9223.83846875
transcript.pyannote[1360].end 9231.24659375
transcript.pyannote[1361].speaker SPEAKER_15
transcript.pyannote[1361].start 9231.87096875
transcript.pyannote[1361].end 9237.10221875
transcript.pyannote[1362].speaker SPEAKER_15
transcript.pyannote[1362].start 9238.48596875
transcript.pyannote[1362].end 9241.06784375
transcript.pyannote[1363].speaker SPEAKER_15
transcript.pyannote[1363].start 9241.86096875
transcript.pyannote[1363].end 9243.36284375
transcript.pyannote[1364].speaker SPEAKER_15
transcript.pyannote[1364].start 9243.78471875
transcript.pyannote[1364].end 9244.17284375
transcript.pyannote[1365].speaker SPEAKER_15
transcript.pyannote[1365].start 9244.66221875
transcript.pyannote[1365].end 9248.22284375
transcript.pyannote[1366].speaker SPEAKER_35
transcript.pyannote[1366].start 9248.45909375
transcript.pyannote[1366].end 9248.76284375
transcript.pyannote[1367].speaker SPEAKER_35
transcript.pyannote[1367].start 9249.06659375
transcript.pyannote[1367].end 9249.52221875
transcript.pyannote[1368].speaker SPEAKER_15
transcript.pyannote[1368].start 9249.28596875
transcript.pyannote[1368].end 9251.12534375
transcript.pyannote[1369].speaker SPEAKER_15
transcript.pyannote[1369].start 9251.14221875
transcript.pyannote[1369].end 9251.15909375
transcript.pyannote[1370].speaker SPEAKER_35
transcript.pyannote[1370].start 9251.17596875
transcript.pyannote[1370].end 9251.29409375
transcript.pyannote[1371].speaker SPEAKER_15
transcript.pyannote[1371].start 9251.29409375
transcript.pyannote[1371].end 9255.02346875
transcript.pyannote[1372].speaker SPEAKER_15
transcript.pyannote[1372].start 9255.39471875
transcript.pyannote[1372].end 9265.51971875
transcript.pyannote[1373].speaker SPEAKER_15
transcript.pyannote[1373].start 9266.14409375
transcript.pyannote[1373].end 9267.89909375
transcript.pyannote[1374].speaker SPEAKER_05
transcript.pyannote[1374].start 9267.89909375
transcript.pyannote[1374].end 9268.13534375
transcript.pyannote[1375].speaker SPEAKER_15
transcript.pyannote[1375].start 9268.13534375
transcript.pyannote[1375].end 9268.33784375
transcript.pyannote[1376].speaker SPEAKER_15
transcript.pyannote[1376].start 9268.75971875
transcript.pyannote[1376].end 9275.17221875
transcript.pyannote[1377].speaker SPEAKER_15
transcript.pyannote[1377].start 9276.11721875
transcript.pyannote[1377].end 9279.72846875
transcript.pyannote[1378].speaker SPEAKER_35
transcript.pyannote[1378].start 9279.93096875
transcript.pyannote[1378].end 9280.47096875
transcript.pyannote[1379].speaker SPEAKER_15
transcript.pyannote[1379].start 9280.47096875
transcript.pyannote[1379].end 9282.81659375
transcript.pyannote[1380].speaker SPEAKER_15
transcript.pyannote[1380].start 9283.18784375
transcript.pyannote[1380].end 9284.63909375
transcript.pyannote[1381].speaker SPEAKER_35
transcript.pyannote[1381].start 9284.90909375
transcript.pyannote[1381].end 9285.60096875
transcript.pyannote[1382].speaker SPEAKER_15
transcript.pyannote[1382].start 9285.78659375
transcript.pyannote[1382].end 9286.68096875
transcript.pyannote[1383].speaker SPEAKER_15
transcript.pyannote[1383].start 9287.08596875
transcript.pyannote[1383].end 9288.41909375
transcript.pyannote[1384].speaker SPEAKER_15
transcript.pyannote[1384].start 9288.68909375
transcript.pyannote[1384].end 9289.06034375
transcript.pyannote[1385].speaker SPEAKER_15
transcript.pyannote[1385].start 9289.49909375
transcript.pyannote[1385].end 9292.14846875
transcript.pyannote[1386].speaker SPEAKER_15
transcript.pyannote[1386].start 9292.50284375
transcript.pyannote[1386].end 9293.90346875
transcript.pyannote[1387].speaker SPEAKER_15
transcript.pyannote[1387].start 9294.46034375
transcript.pyannote[1387].end 9303.84284375
transcript.pyannote[1388].speaker SPEAKER_15
transcript.pyannote[1388].start 9304.56846875
transcript.pyannote[1388].end 9311.89221875
transcript.pyannote[1389].speaker SPEAKER_15
transcript.pyannote[1389].start 9312.36471875
transcript.pyannote[1389].end 9314.13659375
transcript.pyannote[1390].speaker SPEAKER_15
transcript.pyannote[1390].start 9314.28846875
transcript.pyannote[1390].end 9317.86596875
transcript.pyannote[1391].speaker SPEAKER_15
transcript.pyannote[1391].start 9318.52409375
transcript.pyannote[1391].end 9325.93221875
transcript.pyannote[1392].speaker SPEAKER_15
transcript.pyannote[1392].start 9326.38784375
transcript.pyannote[1392].end 9328.14284375
transcript.pyannote[1393].speaker SPEAKER_15
transcript.pyannote[1393].start 9328.98659375
transcript.pyannote[1393].end 9333.91409375
transcript.pyannote[1394].speaker SPEAKER_15
transcript.pyannote[1394].start 9334.50471875
transcript.pyannote[1394].end 9338.99346875
transcript.pyannote[1395].speaker SPEAKER_15
transcript.pyannote[1395].start 9339.49971875
transcript.pyannote[1395].end 9348.27471875
transcript.pyannote[1396].speaker SPEAKER_05
transcript.pyannote[1396].start 9348.27471875
transcript.pyannote[1396].end 9350.58659375
transcript.pyannote[1397].speaker SPEAKER_15
transcript.pyannote[1397].start 9350.58659375
transcript.pyannote[1397].end 9350.60346875
transcript.pyannote[1398].speaker SPEAKER_05
transcript.pyannote[1398].start 9350.60346875
transcript.pyannote[1398].end 9351.31221875
transcript.pyannote[1399].speaker SPEAKER_15
transcript.pyannote[1399].start 9350.63721875
transcript.pyannote[1399].end 9353.79284375
transcript.pyannote[1400].speaker SPEAKER_05
transcript.pyannote[1400].start 9352.89846875
transcript.pyannote[1400].end 9354.21471875
transcript.pyannote[1401].speaker SPEAKER_15
transcript.pyannote[1401].start 9354.21471875
transcript.pyannote[1401].end 9355.80096875
transcript.pyannote[1402].speaker SPEAKER_05
transcript.pyannote[1402].start 9354.23159375
transcript.pyannote[1402].end 9354.72096875
transcript.pyannote[1403].speaker SPEAKER_15
transcript.pyannote[1403].start 9356.34096875
transcript.pyannote[1403].end 9362.23034375
transcript.pyannote[1404].speaker SPEAKER_15
transcript.pyannote[1404].start 9363.15846875
transcript.pyannote[1404].end 9365.48721875
transcript.pyannote[1405].speaker SPEAKER_15
transcript.pyannote[1405].start 9365.60534375
transcript.pyannote[1405].end 9369.82409375
transcript.pyannote[1406].speaker SPEAKER_05
transcript.pyannote[1406].start 9369.82409375
transcript.pyannote[1406].end 9376.32096875
transcript.pyannote[1407].speaker SPEAKER_15
transcript.pyannote[1407].start 9375.12284375
transcript.pyannote[1407].end 9376.74284375
transcript.pyannote[1408].speaker SPEAKER_05
transcript.pyannote[1408].start 9376.74284375
transcript.pyannote[1408].end 9376.79346875
transcript.pyannote[1409].speaker SPEAKER_15
transcript.pyannote[1409].start 9376.79346875
transcript.pyannote[1409].end 9376.86096875
transcript.pyannote[1410].speaker SPEAKER_05
transcript.pyannote[1410].start 9376.86096875
transcript.pyannote[1410].end 9376.96221875
transcript.pyannote[1411].speaker SPEAKER_15
transcript.pyannote[1411].start 9376.96221875
transcript.pyannote[1411].end 9377.82284375
transcript.pyannote[1412].speaker SPEAKER_15
transcript.pyannote[1412].start 9378.73409375
transcript.pyannote[1412].end 9381.02909375
transcript.pyannote[1413].speaker SPEAKER_15
transcript.pyannote[1413].start 9381.68721875
transcript.pyannote[1413].end 9384.74159375
transcript.pyannote[1414].speaker SPEAKER_15
transcript.pyannote[1414].start 9384.91034375
transcript.pyannote[1414].end 9385.90596875
transcript.pyannote[1415].speaker SPEAKER_15
transcript.pyannote[1415].start 9386.78346875
transcript.pyannote[1415].end 9389.78721875
transcript.pyannote[1416].speaker SPEAKER_15
transcript.pyannote[1416].start 9390.25971875
transcript.pyannote[1416].end 9398.14034375
transcript.pyannote[1417].speaker SPEAKER_15
transcript.pyannote[1417].start 9398.66346875
transcript.pyannote[1417].end 9407.03346875
transcript.pyannote[1418].speaker SPEAKER_05
transcript.pyannote[1418].start 9405.41346875
transcript.pyannote[1418].end 9405.70034375
transcript.pyannote[1419].speaker SPEAKER_05
transcript.pyannote[1419].start 9407.03346875
transcript.pyannote[1419].end 9407.05034375
transcript.pyannote[1420].speaker SPEAKER_26
transcript.pyannote[1420].start 9408.75471875
transcript.pyannote[1420].end 9410.27346875
transcript.pyannote[1421].speaker SPEAKER_26
transcript.pyannote[1421].start 9417.37784375
transcript.pyannote[1421].end 9420.48284375
transcript.pyannote[1422].speaker SPEAKER_09
transcript.pyannote[1422].start 9429.59534375
transcript.pyannote[1422].end 9430.59096875
transcript.pyannote[1423].speaker SPEAKER_09
transcript.pyannote[1423].start 9430.94534375
transcript.pyannote[1423].end 9431.70471875
transcript.pyannote[1424].speaker SPEAKER_09
transcript.pyannote[1424].start 9432.00846875
transcript.pyannote[1424].end 9432.44721875
transcript.pyannote[1425].speaker SPEAKER_25
transcript.pyannote[1425].start 9432.95346875
transcript.pyannote[1425].end 9433.84784375
transcript.pyannote[1426].speaker SPEAKER_10
transcript.pyannote[1426].start 9439.02846875
transcript.pyannote[1426].end 9440.34471875
transcript.pyannote[1427].speaker SPEAKER_10
transcript.pyannote[1427].start 9441.27284375
transcript.pyannote[1427].end 9470.98971875
transcript.pyannote[1428].speaker SPEAKER_10
transcript.pyannote[1428].start 9471.66471875
transcript.pyannote[1428].end 9483.54471875
transcript.pyannote[1429].speaker SPEAKER_10
transcript.pyannote[1429].start 9483.83159375
transcript.pyannote[1429].end 9485.33346875
transcript.pyannote[1430].speaker SPEAKER_10
transcript.pyannote[1430].start 9485.63721875
transcript.pyannote[1430].end 9487.05471875
transcript.pyannote[1431].speaker SPEAKER_10
transcript.pyannote[1431].start 9488.16846875
transcript.pyannote[1431].end 9488.45534375
transcript.pyannote[1432].speaker SPEAKER_10
transcript.pyannote[1432].start 9489.28221875
transcript.pyannote[1432].end 9490.95284375
transcript.pyannote[1433].speaker SPEAKER_10
transcript.pyannote[1433].start 9491.35784375
transcript.pyannote[1433].end 9492.35346875
transcript.pyannote[1434].speaker SPEAKER_10
transcript.pyannote[1434].start 9492.80909375
transcript.pyannote[1434].end 9494.10846875
transcript.pyannote[1435].speaker SPEAKER_10
transcript.pyannote[1435].start 9494.76659375
transcript.pyannote[1435].end 9495.34034375
transcript.pyannote[1436].speaker SPEAKER_10
transcript.pyannote[1436].start 9495.93096875
transcript.pyannote[1436].end 9497.09534375
transcript.pyannote[1437].speaker SPEAKER_10
transcript.pyannote[1437].start 9497.68596875
transcript.pyannote[1437].end 9498.66471875
transcript.pyannote[1438].speaker SPEAKER_10
transcript.pyannote[1438].start 9499.99784375
transcript.pyannote[1438].end 9501.01034375
transcript.pyannote[1439].speaker SPEAKER_10
transcript.pyannote[1439].start 9501.34784375
transcript.pyannote[1439].end 9508.92471875
transcript.pyannote[1440].speaker SPEAKER_10
transcript.pyannote[1440].start 9509.53221875
transcript.pyannote[1440].end 9512.36721875
transcript.pyannote[1441].speaker SPEAKER_10
transcript.pyannote[1441].start 9512.90721875
transcript.pyannote[1441].end 9513.37971875
transcript.pyannote[1442].speaker SPEAKER_10
transcript.pyannote[1442].start 9513.88596875
transcript.pyannote[1442].end 9515.47221875
transcript.pyannote[1443].speaker SPEAKER_10
transcript.pyannote[1443].start 9515.69159375
transcript.pyannote[1443].end 9516.75471875
transcript.pyannote[1444].speaker SPEAKER_10
transcript.pyannote[1444].start 9517.53096875
transcript.pyannote[1444].end 9518.49284375
transcript.pyannote[1445].speaker SPEAKER_10
transcript.pyannote[1445].start 9518.98221875
transcript.pyannote[1445].end 9519.77534375
transcript.pyannote[1446].speaker SPEAKER_10
transcript.pyannote[1446].start 9521.90159375
transcript.pyannote[1446].end 9523.84221875
transcript.pyannote[1447].speaker SPEAKER_10
transcript.pyannote[1447].start 9524.51721875
transcript.pyannote[1447].end 9526.57596875
transcript.pyannote[1448].speaker SPEAKER_35
transcript.pyannote[1448].start 9526.57596875
transcript.pyannote[1448].end 9526.87971875
transcript.pyannote[1449].speaker SPEAKER_10
transcript.pyannote[1449].start 9526.87971875
transcript.pyannote[1449].end 9528.01034375
transcript.pyannote[1450].speaker SPEAKER_10
transcript.pyannote[1450].start 9528.95534375
transcript.pyannote[1450].end 9529.76534375
transcript.pyannote[1451].speaker SPEAKER_10
transcript.pyannote[1451].start 9530.10284375
transcript.pyannote[1451].end 9532.80284375
transcript.pyannote[1452].speaker SPEAKER_10
transcript.pyannote[1452].start 9533.34284375
transcript.pyannote[1452].end 9541.96596875
transcript.pyannote[1453].speaker SPEAKER_05
transcript.pyannote[1453].start 9543.26534375
transcript.pyannote[1453].end 9547.26471875
transcript.pyannote[1454].speaker SPEAKER_05
transcript.pyannote[1454].start 9547.36596875
transcript.pyannote[1454].end 9548.20971875
transcript.pyannote[1455].speaker SPEAKER_07
transcript.pyannote[1455].start 9548.66534375
transcript.pyannote[1455].end 9561.96284375
transcript.pyannote[1456].speaker SPEAKER_10
transcript.pyannote[1456].start 9560.68034375
transcript.pyannote[1456].end 9560.78159375
transcript.pyannote[1457].speaker SPEAKER_35
transcript.pyannote[1457].start 9560.78159375
transcript.pyannote[1457].end 9560.96721875
transcript.pyannote[1458].speaker SPEAKER_10
transcript.pyannote[1458].start 9560.96721875
transcript.pyannote[1458].end 9561.91221875
transcript.pyannote[1459].speaker SPEAKER_10
transcript.pyannote[1459].start 9561.96284375
transcript.pyannote[1459].end 9562.09784375
transcript.pyannote[1460].speaker SPEAKER_10
transcript.pyannote[1460].start 9562.97534375
transcript.pyannote[1460].end 9575.49659375
transcript.pyannote[1461].speaker SPEAKER_10
transcript.pyannote[1461].start 9575.80034375
transcript.pyannote[1461].end 9583.14096875
transcript.pyannote[1462].speaker SPEAKER_10
transcript.pyannote[1462].start 9583.86659375
transcript.pyannote[1462].end 9595.08846875
transcript.pyannote[1463].speaker SPEAKER_10
transcript.pyannote[1463].start 9595.56096875
transcript.pyannote[1463].end 9596.69159375
transcript.pyannote[1464].speaker SPEAKER_10
transcript.pyannote[1464].start 9597.43409375
transcript.pyannote[1464].end 9598.91909375
transcript.pyannote[1465].speaker SPEAKER_10
transcript.pyannote[1465].start 9599.72909375
transcript.pyannote[1465].end 9602.93534375
transcript.pyannote[1466].speaker SPEAKER_35
transcript.pyannote[1466].start 9603.13784375
transcript.pyannote[1466].end 9603.49221875
transcript.pyannote[1467].speaker SPEAKER_10
transcript.pyannote[1467].start 9603.88034375
transcript.pyannote[1467].end 9606.88409375
transcript.pyannote[1468].speaker SPEAKER_10
transcript.pyannote[1468].start 9607.45784375
transcript.pyannote[1468].end 9610.39409375
transcript.pyannote[1469].speaker SPEAKER_10
transcript.pyannote[1469].start 9610.91721875
transcript.pyannote[1469].end 9612.03096875
transcript.pyannote[1470].speaker SPEAKER_10
transcript.pyannote[1470].start 9612.23346875
transcript.pyannote[1470].end 9619.81034375
transcript.pyannote[1471].speaker SPEAKER_10
transcript.pyannote[1471].start 9620.43471875
transcript.pyannote[1471].end 9629.10846875
transcript.pyannote[1472].speaker SPEAKER_10
transcript.pyannote[1472].start 9629.51346875
transcript.pyannote[1472].end 9633.88409375
transcript.pyannote[1473].speaker SPEAKER_10
transcript.pyannote[1473].start 9634.33971875
transcript.pyannote[1473].end 9635.60534375
transcript.pyannote[1474].speaker SPEAKER_10
transcript.pyannote[1474].start 9636.24659375
transcript.pyannote[1474].end 9643.68846875
transcript.pyannote[1475].speaker SPEAKER_10
transcript.pyannote[1475].start 9644.07659375
transcript.pyannote[1475].end 9646.62471875
transcript.pyannote[1476].speaker SPEAKER_10
transcript.pyannote[1476].start 9647.19846875
transcript.pyannote[1476].end 9649.57784375
transcript.pyannote[1477].speaker SPEAKER_10
transcript.pyannote[1477].start 9650.20221875
transcript.pyannote[1477].end 9651.53534375
transcript.pyannote[1478].speaker SPEAKER_10
transcript.pyannote[1478].start 9651.68721875
transcript.pyannote[1478].end 9653.81346875
transcript.pyannote[1479].speaker SPEAKER_10
transcript.pyannote[1479].start 9654.15096875
transcript.pyannote[1479].end 9657.99846875
transcript.pyannote[1480].speaker SPEAKER_10
transcript.pyannote[1480].start 9658.43721875
transcript.pyannote[1480].end 9659.85471875
transcript.pyannote[1481].speaker SPEAKER_10
transcript.pyannote[1481].start 9660.32721875
transcript.pyannote[1481].end 9663.87096875
transcript.pyannote[1482].speaker SPEAKER_10
transcript.pyannote[1482].start 9664.25909375
transcript.pyannote[1482].end 9676.25721875
transcript.pyannote[1483].speaker SPEAKER_10
transcript.pyannote[1483].start 9676.45971875
transcript.pyannote[1483].end 9681.03284375
transcript.pyannote[1484].speaker SPEAKER_10
transcript.pyannote[1484].start 9681.23534375
transcript.pyannote[1484].end 9695.42721875
transcript.pyannote[1485].speaker SPEAKER_10
transcript.pyannote[1485].start 9695.86596875
transcript.pyannote[1485].end 9712.87596875
transcript.pyannote[1486].speaker SPEAKER_10
transcript.pyannote[1486].start 9713.09534375
transcript.pyannote[1486].end 9715.30596875
transcript.pyannote[1487].speaker SPEAKER_10
transcript.pyannote[1487].start 9715.67721875
transcript.pyannote[1487].end 9716.47034375
transcript.pyannote[1488].speaker SPEAKER_10
transcript.pyannote[1488].start 9717.93846875
transcript.pyannote[1488].end 9720.58784375
transcript.pyannote[1489].speaker SPEAKER_03
transcript.pyannote[1489].start 9721.49909375
transcript.pyannote[1489].end 9723.37221875
transcript.pyannote[1490].speaker SPEAKER_10
transcript.pyannote[1490].start 9722.27534375
transcript.pyannote[1490].end 9722.88284375
transcript.pyannote[1491].speaker SPEAKER_03
transcript.pyannote[1491].start 9723.65909375
transcript.pyannote[1491].end 9733.39596875
transcript.pyannote[1492].speaker SPEAKER_10
transcript.pyannote[1492].start 9727.48971875
transcript.pyannote[1492].end 9727.96221875
transcript.pyannote[1493].speaker SPEAKER_10
transcript.pyannote[1493].start 9732.72096875
transcript.pyannote[1493].end 9733.51409375
transcript.pyannote[1494].speaker SPEAKER_03
transcript.pyannote[1494].start 9733.51409375
transcript.pyannote[1494].end 9735.53909375
transcript.pyannote[1495].speaker SPEAKER_10
transcript.pyannote[1495].start 9734.98221875
transcript.pyannote[1495].end 9735.52221875
transcript.pyannote[1496].speaker SPEAKER_10
transcript.pyannote[1496].start 9735.53909375
transcript.pyannote[1496].end 9736.31534375
transcript.pyannote[1497].speaker SPEAKER_03
transcript.pyannote[1497].start 9736.85534375
transcript.pyannote[1497].end 9766.72409375
transcript.pyannote[1498].speaker SPEAKER_10
transcript.pyannote[1498].start 9765.82971875
transcript.pyannote[1498].end 9801.79034375
transcript.pyannote[1499].speaker SPEAKER_10
transcript.pyannote[1499].start 9802.11096875
transcript.pyannote[1499].end 9803.41034375
transcript.pyannote[1500].speaker SPEAKER_10
transcript.pyannote[1500].start 9804.11909375
transcript.pyannote[1500].end 9804.37221875
transcript.pyannote[1501].speaker SPEAKER_10
transcript.pyannote[1501].start 9804.79409375
transcript.pyannote[1501].end 9821.02784375
transcript.pyannote[1502].speaker SPEAKER_05
transcript.pyannote[1502].start 9821.02784375
transcript.pyannote[1502].end 9872.44596875
transcript.pyannote[1503].speaker SPEAKER_10
transcript.pyannote[1503].start 9871.72034375
transcript.pyannote[1503].end 9879.78659375
transcript.pyannote[1504].speaker SPEAKER_05
transcript.pyannote[1504].start 9875.23034375
transcript.pyannote[1504].end 9876.07409375
transcript.pyannote[1505].speaker SPEAKER_10
transcript.pyannote[1505].start 9880.05659375
transcript.pyannote[1505].end 9883.11096875
transcript.pyannote[1506].speaker SPEAKER_05
transcript.pyannote[1506].start 9883.11096875
transcript.pyannote[1506].end 9883.29659375
transcript.pyannote[1507].speaker SPEAKER_10
transcript.pyannote[1507].start 9883.29659375
transcript.pyannote[1507].end 9883.76909375
transcript.pyannote[1508].speaker SPEAKER_05
transcript.pyannote[1508].start 9883.31346875
transcript.pyannote[1508].end 9883.73534375
transcript.pyannote[1509].speaker SPEAKER_05
transcript.pyannote[1509].start 9883.76909375
transcript.pyannote[1509].end 9900.64409375
transcript.pyannote[1510].speaker SPEAKER_05
transcript.pyannote[1510].start 9900.76221875
transcript.pyannote[1510].end 9901.03221875
transcript.pyannote[1511].speaker SPEAKER_10
transcript.pyannote[1511].start 9901.03221875
transcript.pyannote[1511].end 9901.50471875
transcript.pyannote[1512].speaker SPEAKER_10
transcript.pyannote[1512].start 9902.23034375
transcript.pyannote[1512].end 9903.73221875
transcript.pyannote[1513].speaker SPEAKER_10
transcript.pyannote[1513].start 9904.23846875
transcript.pyannote[1513].end 9917.83971875
transcript.pyannote[1514].speaker SPEAKER_10
transcript.pyannote[1514].start 9918.59909375
transcript.pyannote[1514].end 9944.41784375
transcript.pyannote[1515].speaker SPEAKER_00
transcript.pyannote[1515].start 9941.86971875
transcript.pyannote[1515].end 9942.03846875
transcript.pyannote[1516].speaker SPEAKER_35
transcript.pyannote[1516].start 9942.03846875
transcript.pyannote[1516].end 9942.17346875
transcript.pyannote[1517].speaker SPEAKER_00
transcript.pyannote[1517].start 9942.17346875
transcript.pyannote[1517].end 9942.24096875
transcript.pyannote[1518].speaker SPEAKER_10
transcript.pyannote[1518].start 9944.58659375
transcript.pyannote[1518].end 9948.94034375
transcript.pyannote[1519].speaker SPEAKER_10
transcript.pyannote[1519].start 9949.64909375
transcript.pyannote[1519].end 9950.62784375
transcript.pyannote[1520].speaker SPEAKER_10
transcript.pyannote[1520].start 9951.04971875
transcript.pyannote[1520].end 9952.48409375
transcript.pyannote[1521].speaker SPEAKER_10
transcript.pyannote[1521].start 9952.78784375
transcript.pyannote[1521].end 9954.45846875
transcript.pyannote[1522].speaker SPEAKER_10
transcript.pyannote[1522].start 9954.50909375
transcript.pyannote[1522].end 9959.97659375
transcript.pyannote[1523].speaker SPEAKER_10
transcript.pyannote[1523].start 9960.53346875
transcript.pyannote[1523].end 9963.50346875
transcript.pyannote[1524].speaker SPEAKER_10
transcript.pyannote[1524].start 9963.90846875
transcript.pyannote[1524].end 9964.56659375
transcript.pyannote[1525].speaker SPEAKER_10
transcript.pyannote[1525].start 9964.81971875
transcript.pyannote[1525].end 9966.28784375
transcript.pyannote[1526].speaker SPEAKER_10
transcript.pyannote[1526].start 9966.77721875
transcript.pyannote[1526].end 9989.92971875
transcript.pyannote[1527].speaker SPEAKER_10
transcript.pyannote[1527].start 9991.21221875
transcript.pyannote[1527].end 9992.24159375
transcript.pyannote[1528].speaker SPEAKER_10
transcript.pyannote[1528].start 9993.59159375
transcript.pyannote[1528].end 9994.65471875
transcript.pyannote[1529].speaker SPEAKER_10
transcript.pyannote[1529].start 9994.87409375
transcript.pyannote[1529].end 10000.96596875
transcript.pyannote[1530].speaker SPEAKER_10
transcript.pyannote[1530].start 10001.47221875
transcript.pyannote[1530].end 10002.14721875
transcript.pyannote[1531].speaker SPEAKER_10
transcript.pyannote[1531].start 10003.21034375
transcript.pyannote[1531].end 10004.39159375
transcript.pyannote[1532].speaker SPEAKER_10
transcript.pyannote[1532].start 10005.42096875
transcript.pyannote[1532].end 10006.36596875
transcript.pyannote[1533].speaker SPEAKER_10
transcript.pyannote[1533].start 10006.97346875
transcript.pyannote[1533].end 10007.90159375
transcript.pyannote[1534].speaker SPEAKER_10
transcript.pyannote[1534].start 10008.32346875
transcript.pyannote[1534].end 10008.77909375
transcript.pyannote[1535].speaker SPEAKER_10
transcript.pyannote[1535].start 10008.96471875
transcript.pyannote[1535].end 10013.03159375
transcript.pyannote[1536].speaker SPEAKER_10
transcript.pyannote[1536].start 10013.52096875
transcript.pyannote[1536].end 10016.49096875
transcript.pyannote[1537].speaker SPEAKER_10
transcript.pyannote[1537].start 10017.03096875
transcript.pyannote[1537].end 10017.04784375
transcript.pyannote[1538].speaker SPEAKER_10
transcript.pyannote[1538].start 10017.06471875
transcript.pyannote[1538].end 10022.04284375
transcript.pyannote[1539].speaker SPEAKER_10
transcript.pyannote[1539].start 10022.16096875
transcript.pyannote[1539].end 10029.95721875
transcript.pyannote[1540].speaker SPEAKER_10
transcript.pyannote[1540].start 10030.10909375
transcript.pyannote[1540].end 10030.73346875
transcript.pyannote[1541].speaker SPEAKER_10
transcript.pyannote[1541].start 10030.90221875
transcript.pyannote[1541].end 10031.89784375
transcript.pyannote[1542].speaker SPEAKER_10
transcript.pyannote[1542].start 10032.42096875
transcript.pyannote[1542].end 10035.77909375
transcript.pyannote[1543].speaker SPEAKER_10
transcript.pyannote[1543].start 10035.98159375
transcript.pyannote[1543].end 10039.17096875
transcript.pyannote[1544].speaker SPEAKER_10
transcript.pyannote[1544].start 10039.37346875
transcript.pyannote[1544].end 10042.64721875
transcript.pyannote[1545].speaker SPEAKER_10
transcript.pyannote[1545].start 10043.00159375
transcript.pyannote[1545].end 10043.98034375
transcript.pyannote[1546].speaker SPEAKER_10
transcript.pyannote[1546].start 10044.30096875
transcript.pyannote[1546].end 10044.70596875
transcript.pyannote[1547].speaker SPEAKER_10
transcript.pyannote[1547].start 10045.16159375
transcript.pyannote[1547].end 10045.70159375
transcript.pyannote[1548].speaker SPEAKER_10
transcript.pyannote[1548].start 10046.29221875
transcript.pyannote[1548].end 10047.57471875
transcript.pyannote[1549].speaker SPEAKER_10
transcript.pyannote[1549].start 10047.86159375
transcript.pyannote[1549].end 10054.12221875
transcript.pyannote[1550].speaker SPEAKER_10
transcript.pyannote[1550].start 10054.83096875
transcript.pyannote[1550].end 10056.72096875
transcript.pyannote[1551].speaker SPEAKER_10
transcript.pyannote[1551].start 10057.10909375
transcript.pyannote[1551].end 10057.56471875
transcript.pyannote[1552].speaker SPEAKER_10
transcript.pyannote[1552].start 10058.35784375
transcript.pyannote[1552].end 10061.22659375
transcript.pyannote[1553].speaker SPEAKER_10
transcript.pyannote[1553].start 10061.90159375
transcript.pyannote[1553].end 10067.90909375
transcript.pyannote[1554].speaker SPEAKER_10
transcript.pyannote[1554].start 10068.55034375
transcript.pyannote[1554].end 10069.36034375
transcript.pyannote[1555].speaker SPEAKER_10
transcript.pyannote[1555].start 10069.44471875
transcript.pyannote[1555].end 10071.36846875
transcript.pyannote[1556].speaker SPEAKER_10
transcript.pyannote[1556].start 10071.52034375
transcript.pyannote[1556].end 10072.65096875
transcript.pyannote[1557].speaker SPEAKER_10
transcript.pyannote[1557].start 10072.78596875
transcript.pyannote[1557].end 10074.49034375
transcript.pyannote[1558].speaker SPEAKER_10
transcript.pyannote[1558].start 10075.03034375
transcript.pyannote[1558].end 10075.77284375
transcript.pyannote[1559].speaker SPEAKER_10
transcript.pyannote[1559].start 10076.97096875
transcript.pyannote[1559].end 10087.16346875
transcript.pyannote[1560].speaker SPEAKER_10
transcript.pyannote[1560].start 10087.58534375
transcript.pyannote[1560].end 10109.35409375
transcript.pyannote[1561].speaker SPEAKER_10
transcript.pyannote[1561].start 10109.96159375
transcript.pyannote[1561].end 10112.66159375
transcript.pyannote[1562].speaker SPEAKER_10
transcript.pyannote[1562].start 10113.33659375
transcript.pyannote[1562].end 10114.82159375
transcript.pyannote[1563].speaker SPEAKER_10
transcript.pyannote[1563].start 10115.91846875
transcript.pyannote[1563].end 10130.54909375
transcript.pyannote[1564].speaker SPEAKER_10
transcript.pyannote[1564].start 10130.97096875
transcript.pyannote[1564].end 10132.48971875
transcript.pyannote[1565].speaker SPEAKER_10
transcript.pyannote[1565].start 10133.08034375
transcript.pyannote[1565].end 10142.05784375
transcript.pyannote[1566].speaker SPEAKER_05
transcript.pyannote[1566].start 10142.05784375
transcript.pyannote[1566].end 10142.14221875
transcript.pyannote[1567].speaker SPEAKER_10
transcript.pyannote[1567].start 10142.14221875
transcript.pyannote[1567].end 10142.36159375
transcript.pyannote[1568].speaker SPEAKER_05
transcript.pyannote[1568].start 10142.36159375
transcript.pyannote[1568].end 10153.78596875
transcript.pyannote[1569].speaker SPEAKER_35
transcript.pyannote[1569].start 10153.68471875
transcript.pyannote[1569].end 10154.22471875
transcript.pyannote[1570].speaker SPEAKER_05
transcript.pyannote[1570].start 10154.08971875
transcript.pyannote[1570].end 10174.40721875
transcript.pyannote[1571].speaker SPEAKER_10
transcript.pyannote[1571].start 10164.82221875
transcript.pyannote[1571].end 10165.15971875
transcript.pyannote[1572].speaker SPEAKER_10
transcript.pyannote[1572].start 10166.83034375
transcript.pyannote[1572].end 10167.21846875
transcript.pyannote[1573].speaker SPEAKER_35
transcript.pyannote[1573].start 10167.21846875
transcript.pyannote[1573].end 10167.23534375
transcript.pyannote[1574].speaker SPEAKER_35
transcript.pyannote[1574].start 10171.04909375
transcript.pyannote[1574].end 10172.65221875
transcript.pyannote[1575].speaker SPEAKER_35
transcript.pyannote[1575].start 10173.42846875
transcript.pyannote[1575].end 10174.12034375
transcript.pyannote[1576].speaker SPEAKER_35
transcript.pyannote[1576].start 10174.40721875
transcript.pyannote[1576].end 10174.62659375
transcript.pyannote[1577].speaker SPEAKER_05
transcript.pyannote[1577].start 10174.62659375
transcript.pyannote[1577].end 10179.84096875
transcript.pyannote[1578].speaker SPEAKER_35
transcript.pyannote[1578].start 10174.66034375
transcript.pyannote[1578].end 10175.21721875
transcript.pyannote[1579].speaker SPEAKER_10
transcript.pyannote[1579].start 10175.21721875
transcript.pyannote[1579].end 10175.25096875
transcript.pyannote[1580].speaker SPEAKER_10
transcript.pyannote[1580].start 10179.84096875
transcript.pyannote[1580].end 10190.03346875
transcript.pyannote[1581].speaker SPEAKER_05
transcript.pyannote[1581].start 10183.97534375
transcript.pyannote[1581].end 10184.00909375
transcript.pyannote[1582].speaker SPEAKER_05
transcript.pyannote[1582].start 10188.39659375
transcript.pyannote[1582].end 10189.79721875
transcript.pyannote[1583].speaker SPEAKER_05
transcript.pyannote[1583].start 10190.03346875
transcript.pyannote[1583].end 10193.69534375
transcript.pyannote[1584].speaker SPEAKER_10
transcript.pyannote[1584].start 10190.11784375
transcript.pyannote[1584].end 10190.94471875
transcript.pyannote[1585].speaker SPEAKER_10
transcript.pyannote[1585].start 10191.43409375
transcript.pyannote[1585].end 10192.00784375
transcript.pyannote[1586].speaker SPEAKER_26
transcript.pyannote[1586].start 10195.43346875
transcript.pyannote[1586].end 10197.18846875
transcript.pyannote[1587].speaker SPEAKER_26
transcript.pyannote[1587].start 10200.19221875
transcript.pyannote[1587].end 10202.53784375
transcript.pyannote[1588].speaker SPEAKER_11
transcript.pyannote[1588].start 10212.37596875
transcript.pyannote[1588].end 10214.21534375
transcript.pyannote[1589].speaker SPEAKER_25
transcript.pyannote[1589].start 10214.51909375
transcript.pyannote[1589].end 10215.41346875
transcript.pyannote[1590].speaker SPEAKER_11
transcript.pyannote[1590].start 10220.42534375
transcript.pyannote[1590].end 10263.54096875
transcript.pyannote[1591].speaker SPEAKER_11
transcript.pyannote[1591].start 10264.08096875
transcript.pyannote[1591].end 10296.68346875
transcript.pyannote[1592].speaker SPEAKER_05
transcript.pyannote[1592].start 10296.88596875
transcript.pyannote[1592].end 10322.01284375
transcript.pyannote[1593].speaker SPEAKER_11
transcript.pyannote[1593].start 10322.01284375
transcript.pyannote[1593].end 10332.55971875
transcript.pyannote[1594].speaker SPEAKER_03
transcript.pyannote[1594].start 10332.91409375
transcript.pyannote[1594].end 10358.59784375
transcript.pyannote[1595].speaker SPEAKER_03
transcript.pyannote[1595].start 10358.91846875
transcript.pyannote[1595].end 10361.46659375
transcript.pyannote[1596].speaker SPEAKER_11
transcript.pyannote[1596].start 10361.97284375
transcript.pyannote[1596].end 10380.82221875
transcript.pyannote[1597].speaker SPEAKER_05
transcript.pyannote[1597].start 10375.81034375
transcript.pyannote[1597].end 10376.97471875
transcript.pyannote[1598].speaker SPEAKER_05
transcript.pyannote[1598].start 10377.95346875
transcript.pyannote[1598].end 10380.21471875
transcript.pyannote[1599].speaker SPEAKER_05
transcript.pyannote[1599].start 10380.75471875
transcript.pyannote[1599].end 10393.71471875
transcript.pyannote[1600].speaker SPEAKER_11
transcript.pyannote[1600].start 10394.08596875
transcript.pyannote[1600].end 10409.67846875
transcript.pyannote[1601].speaker SPEAKER_05
transcript.pyannote[1601].start 10410.62346875
transcript.pyannote[1601].end 10412.96909375
transcript.pyannote[1602].speaker SPEAKER_11
transcript.pyannote[1602].start 10412.96909375
transcript.pyannote[1602].end 10418.57159375
transcript.pyannote[1603].speaker SPEAKER_05
transcript.pyannote[1603].start 10416.39471875
transcript.pyannote[1603].end 10416.64784375
transcript.pyannote[1604].speaker SPEAKER_03
transcript.pyannote[1604].start 10420.73159375
transcript.pyannote[1604].end 10421.99721875
transcript.pyannote[1605].speaker SPEAKER_05
transcript.pyannote[1605].start 10421.99721875
transcript.pyannote[1605].end 10422.21659375
transcript.pyannote[1606].speaker SPEAKER_03
transcript.pyannote[1606].start 10422.21659375
transcript.pyannote[1606].end 10422.31784375
transcript.pyannote[1607].speaker SPEAKER_05
transcript.pyannote[1607].start 10422.31784375
transcript.pyannote[1607].end 10422.85784375
transcript.pyannote[1608].speaker SPEAKER_03
transcript.pyannote[1608].start 10422.85784375
transcript.pyannote[1608].end 10422.89159375
transcript.pyannote[1609].speaker SPEAKER_05
transcript.pyannote[1609].start 10422.89159375
transcript.pyannote[1609].end 10423.02659375
transcript.pyannote[1610].speaker SPEAKER_03
transcript.pyannote[1610].start 10423.02659375
transcript.pyannote[1610].end 10431.75096875
transcript.pyannote[1611].speaker SPEAKER_03
transcript.pyannote[1611].start 10431.93659375
transcript.pyannote[1611].end 10433.38784375
transcript.pyannote[1612].speaker SPEAKER_11
transcript.pyannote[1612].start 10432.72971875
transcript.pyannote[1612].end 10439.85096875
transcript.pyannote[1613].speaker SPEAKER_11
transcript.pyannote[1613].start 10440.23909375
transcript.pyannote[1613].end 10441.42034375
transcript.pyannote[1614].speaker SPEAKER_03
transcript.pyannote[1614].start 10442.07846875
transcript.pyannote[1614].end 10442.28096875
transcript.pyannote[1615].speaker SPEAKER_03
transcript.pyannote[1615].start 10442.82096875
transcript.pyannote[1615].end 10448.25471875
transcript.pyannote[1616].speaker SPEAKER_03
transcript.pyannote[1616].start 10448.42346875
transcript.pyannote[1616].end 10451.79846875
transcript.pyannote[1617].speaker SPEAKER_11
transcript.pyannote[1617].start 10452.62534375
transcript.pyannote[1617].end 10462.95284375
transcript.pyannote[1618].speaker SPEAKER_05
transcript.pyannote[1618].start 10462.95284375
transcript.pyannote[1618].end 10478.29221875
transcript.pyannote[1619].speaker SPEAKER_11
transcript.pyannote[1619].start 10478.29221875
transcript.pyannote[1619].end 10514.72534375
transcript.pyannote[1620].speaker SPEAKER_05
transcript.pyannote[1620].start 10485.22784375
transcript.pyannote[1620].end 10485.43034375
transcript.pyannote[1621].speaker SPEAKER_35
transcript.pyannote[1621].start 10485.43034375
transcript.pyannote[1621].end 10485.49784375
transcript.pyannote[1622].speaker SPEAKER_05
transcript.pyannote[1622].start 10515.43409375
transcript.pyannote[1622].end 10525.22159375
transcript.pyannote[1623].speaker SPEAKER_03
transcript.pyannote[1623].start 10525.22159375
transcript.pyannote[1623].end 10548.61034375
transcript.pyannote[1624].speaker SPEAKER_11
transcript.pyannote[1624].start 10548.91409375
transcript.pyannote[1624].end 10563.91596875
transcript.pyannote[1625].speaker SPEAKER_05
transcript.pyannote[1625].start 10561.72221875
transcript.pyannote[1625].end 10561.95846875
transcript.pyannote[1626].speaker SPEAKER_05
transcript.pyannote[1626].start 10563.69659375
transcript.pyannote[1626].end 10570.22721875
transcript.pyannote[1627].speaker SPEAKER_11
transcript.pyannote[1627].start 10570.27784375
transcript.pyannote[1627].end 10590.40971875
transcript.pyannote[1628].speaker SPEAKER_05
transcript.pyannote[1628].start 10589.61659375
transcript.pyannote[1628].end 10589.86971875
transcript.pyannote[1629].speaker SPEAKER_05
transcript.pyannote[1629].start 10590.37596875
transcript.pyannote[1629].end 10607.16659375
transcript.pyannote[1630].speaker SPEAKER_03
transcript.pyannote[1630].start 10602.57659375
transcript.pyannote[1630].end 10604.80409375
transcript.pyannote[1631].speaker SPEAKER_03
transcript.pyannote[1631].start 10605.29346875
transcript.pyannote[1631].end 10605.90096875
transcript.pyannote[1632].speaker SPEAKER_03
transcript.pyannote[1632].start 10606.20471875
transcript.pyannote[1632].end 10615.78971875
transcript.pyannote[1633].speaker SPEAKER_11
transcript.pyannote[1633].start 10615.97534375
transcript.pyannote[1633].end 10664.92971875
transcript.pyannote[1634].speaker SPEAKER_00
transcript.pyannote[1634].start 10644.64596875
transcript.pyannote[1634].end 10644.69659375
transcript.pyannote[1635].speaker SPEAKER_05
transcript.pyannote[1635].start 10660.66034375
transcript.pyannote[1635].end 10660.77846875
transcript.pyannote[1636].speaker SPEAKER_05
transcript.pyannote[1636].start 10664.38971875
transcript.pyannote[1636].end 10664.67659375
transcript.pyannote[1637].speaker SPEAKER_05
transcript.pyannote[1637].start 10664.69346875
transcript.pyannote[1637].end 10673.97471875
transcript.pyannote[1638].speaker SPEAKER_05
transcript.pyannote[1638].start 10674.17721875
transcript.pyannote[1638].end 10674.24471875
transcript.pyannote[1639].speaker SPEAKER_11
transcript.pyannote[1639].start 10674.24471875
transcript.pyannote[1639].end 10689.95534375
transcript.pyannote[1640].speaker SPEAKER_05
transcript.pyannote[1640].start 10674.29534375
transcript.pyannote[1640].end 10674.31221875
transcript.pyannote[1641].speaker SPEAKER_05
transcript.pyannote[1641].start 10681.66971875
transcript.pyannote[1641].end 10682.04096875
transcript.pyannote[1642].speaker SPEAKER_00
transcript.pyannote[1642].start 10682.04096875
transcript.pyannote[1642].end 10682.15909375
transcript.pyannote[1643].speaker SPEAKER_35
transcript.pyannote[1643].start 10688.50409375
transcript.pyannote[1643].end 10690.84971875
transcript.pyannote[1644].speaker SPEAKER_11
transcript.pyannote[1644].start 10690.34346875
transcript.pyannote[1644].end 10692.65534375
transcript.pyannote[1645].speaker SPEAKER_35
transcript.pyannote[1645].start 10692.52034375
transcript.pyannote[1645].end 10692.62159375
transcript.pyannote[1646].speaker SPEAKER_35
transcript.pyannote[1646].start 10692.65534375
transcript.pyannote[1646].end 10692.73971875
transcript.pyannote[1647].speaker SPEAKER_11
transcript.pyannote[1647].start 10692.73971875
transcript.pyannote[1647].end 10692.80721875
transcript.pyannote[1648].speaker SPEAKER_11
transcript.pyannote[1648].start 10692.94221875
transcript.pyannote[1648].end 10710.08721875
transcript.pyannote[1649].speaker SPEAKER_05
transcript.pyannote[1649].start 10708.14659375
transcript.pyannote[1649].end 10709.02409375
transcript.pyannote[1650].speaker SPEAKER_05
transcript.pyannote[1650].start 10710.08721875
transcript.pyannote[1650].end 10710.42471875
transcript.pyannote[1651].speaker SPEAKER_11
transcript.pyannote[1651].start 10710.35721875
transcript.pyannote[1651].end 10711.31909375
transcript.pyannote[1652].speaker SPEAKER_11
transcript.pyannote[1652].start 10711.82534375
transcript.pyannote[1652].end 10713.68159375
transcript.pyannote[1653].speaker SPEAKER_05
transcript.pyannote[1653].start 10715.21721875
transcript.pyannote[1653].end 10718.35596875
transcript.pyannote[1654].speaker SPEAKER_11
transcript.pyannote[1654].start 10718.72721875
transcript.pyannote[1654].end 10735.24784375
transcript.pyannote[1655].speaker SPEAKER_09
transcript.pyannote[1655].start 10734.55596875
transcript.pyannote[1655].end 10735.63596875
transcript.pyannote[1656].speaker SPEAKER_26
transcript.pyannote[1656].start 10736.91846875
transcript.pyannote[1656].end 10738.52159375
transcript.pyannote[1657].speaker SPEAKER_26
transcript.pyannote[1657].start 10741.66034375
transcript.pyannote[1657].end 10744.17471875
transcript.pyannote[1658].speaker SPEAKER_16
transcript.pyannote[1658].start 10756.56096875
transcript.pyannote[1658].end 10758.31596875
transcript.pyannote[1659].speaker SPEAKER_25
transcript.pyannote[1659].start 10758.58596875
transcript.pyannote[1659].end 10759.44659375
transcript.pyannote[1660].speaker SPEAKER_16
transcript.pyannote[1660].start 10764.45846875
transcript.pyannote[1660].end 10779.19034375
transcript.pyannote[1661].speaker SPEAKER_16
transcript.pyannote[1661].start 10779.71346875
transcript.pyannote[1661].end 10785.95721875
transcript.pyannote[1662].speaker SPEAKER_35
transcript.pyannote[1662].start 10785.95721875
transcript.pyannote[1662].end 10786.12596875
transcript.pyannote[1663].speaker SPEAKER_16
transcript.pyannote[1663].start 10786.12596875
transcript.pyannote[1663].end 10793.48346875
transcript.pyannote[1664].speaker SPEAKER_16
transcript.pyannote[1664].start 10794.05721875
transcript.pyannote[1664].end 10799.08596875
transcript.pyannote[1665].speaker SPEAKER_16
transcript.pyannote[1665].start 10799.52471875
transcript.pyannote[1665].end 10801.44846875
transcript.pyannote[1666].speaker SPEAKER_16
transcript.pyannote[1666].start 10801.63409375
transcript.pyannote[1666].end 10803.38909375
transcript.pyannote[1667].speaker SPEAKER_16
transcript.pyannote[1667].start 10803.81096875
transcript.pyannote[1667].end 10805.26221875
transcript.pyannote[1668].speaker SPEAKER_16
transcript.pyannote[1668].start 10805.54909375
transcript.pyannote[1668].end 10805.98784375
transcript.pyannote[1669].speaker SPEAKER_16
transcript.pyannote[1669].start 10807.13534375
transcript.pyannote[1669].end 10809.64971875
transcript.pyannote[1670].speaker SPEAKER_16
transcript.pyannote[1670].start 10810.24034375
transcript.pyannote[1670].end 10826.20409375
transcript.pyannote[1671].speaker SPEAKER_16
transcript.pyannote[1671].start 10826.65971875
transcript.pyannote[1671].end 10827.50346875
transcript.pyannote[1672].speaker SPEAKER_16
transcript.pyannote[1672].start 10828.11096875
transcript.pyannote[1672].end 10831.03034375
transcript.pyannote[1673].speaker SPEAKER_05
transcript.pyannote[1673].start 10831.03034375
transcript.pyannote[1673].end 10831.04721875
transcript.pyannote[1674].speaker SPEAKER_05
transcript.pyannote[1674].start 10831.78971875
transcript.pyannote[1674].end 10832.17784375
transcript.pyannote[1675].speaker SPEAKER_05
transcript.pyannote[1675].start 10832.75159375
transcript.pyannote[1675].end 10834.16909375
transcript.pyannote[1676].speaker SPEAKER_05
transcript.pyannote[1676].start 10834.82721875
transcript.pyannote[1676].end 10868.02034375
transcript.pyannote[1677].speaker SPEAKER_05
transcript.pyannote[1677].start 10868.25659375
transcript.pyannote[1677].end 10869.64034375
transcript.pyannote[1678].speaker SPEAKER_16
transcript.pyannote[1678].start 10869.64034375
transcript.pyannote[1678].end 10869.72471875
transcript.pyannote[1679].speaker SPEAKER_05
transcript.pyannote[1679].start 10869.72471875
transcript.pyannote[1679].end 10869.74159375
transcript.pyannote[1680].speaker SPEAKER_16
transcript.pyannote[1680].start 10869.74159375
transcript.pyannote[1680].end 10875.00659375
transcript.pyannote[1681].speaker SPEAKER_16
transcript.pyannote[1681].start 10875.63096875
transcript.pyannote[1681].end 10877.79096875
transcript.pyannote[1682].speaker SPEAKER_16
transcript.pyannote[1682].start 10878.11159375
transcript.pyannote[1682].end 10889.97471875
transcript.pyannote[1683].speaker SPEAKER_16
transcript.pyannote[1683].start 10890.59909375
transcript.pyannote[1683].end 10892.64096875
transcript.pyannote[1684].speaker SPEAKER_16
transcript.pyannote[1684].start 10892.82659375
transcript.pyannote[1684].end 10893.97409375
transcript.pyannote[1685].speaker SPEAKER_16
transcript.pyannote[1685].start 10894.21034375
transcript.pyannote[1685].end 10901.85471875
transcript.pyannote[1686].speaker SPEAKER_16
transcript.pyannote[1686].start 10902.59721875
transcript.pyannote[1686].end 10909.83659375
transcript.pyannote[1687].speaker SPEAKER_16
transcript.pyannote[1687].start 10910.08971875
transcript.pyannote[1687].end 10911.40596875
transcript.pyannote[1688].speaker SPEAKER_05
transcript.pyannote[1688].start 10911.77721875
transcript.pyannote[1688].end 10926.98159375
transcript.pyannote[1689].speaker SPEAKER_07
transcript.pyannote[1689].start 10918.29096875
transcript.pyannote[1689].end 10918.42596875
transcript.pyannote[1690].speaker SPEAKER_16
transcript.pyannote[1690].start 10927.09971875
transcript.pyannote[1690].end 10946.15159375
transcript.pyannote[1691].speaker SPEAKER_16
transcript.pyannote[1691].start 10946.38784375
transcript.pyannote[1691].end 10948.36221875
transcript.pyannote[1692].speaker SPEAKER_18
transcript.pyannote[1692].start 10947.40034375
transcript.pyannote[1692].end 10947.50159375
transcript.pyannote[1693].speaker SPEAKER_16
transcript.pyannote[1693].start 10948.64909375
transcript.pyannote[1693].end 10950.30284375
transcript.pyannote[1694].speaker SPEAKER_16
transcript.pyannote[1694].start 10950.67409375
transcript.pyannote[1694].end 10954.13346875
transcript.pyannote[1695].speaker SPEAKER_16
transcript.pyannote[1695].start 10954.55534375
transcript.pyannote[1695].end 10961.77784375
transcript.pyannote[1696].speaker SPEAKER_16
transcript.pyannote[1696].start 10962.21659375
transcript.pyannote[1696].end 10965.70971875
transcript.pyannote[1697].speaker SPEAKER_16
transcript.pyannote[1697].start 10965.87846875
transcript.pyannote[1697].end 10967.32971875
transcript.pyannote[1698].speaker SPEAKER_16
transcript.pyannote[1698].start 10967.97096875
transcript.pyannote[1698].end 10969.25346875
transcript.pyannote[1699].speaker SPEAKER_16
transcript.pyannote[1699].start 10969.37159375
transcript.pyannote[1699].end 10981.33596875
transcript.pyannote[1700].speaker SPEAKER_16
transcript.pyannote[1700].start 10981.43721875
transcript.pyannote[1700].end 10991.78159375
transcript.pyannote[1701].speaker SPEAKER_16
transcript.pyannote[1701].start 10992.13596875
transcript.pyannote[1701].end 10992.64221875
transcript.pyannote[1702].speaker SPEAKER_16
transcript.pyannote[1702].start 10993.03034375
transcript.pyannote[1702].end 10994.46471875
transcript.pyannote[1703].speaker SPEAKER_05
transcript.pyannote[1703].start 10994.00909375
transcript.pyannote[1703].end 10994.38034375
transcript.pyannote[1704].speaker SPEAKER_05
transcript.pyannote[1704].start 10994.76846875
transcript.pyannote[1704].end 11002.75034375
transcript.pyannote[1705].speaker SPEAKER_16
transcript.pyannote[1705].start 11002.75034375
transcript.pyannote[1705].end 11008.97721875
transcript.pyannote[1706].speaker SPEAKER_05
transcript.pyannote[1706].start 11009.39909375
transcript.pyannote[1706].end 11014.96784375
transcript.pyannote[1707].speaker SPEAKER_05
transcript.pyannote[1707].start 11015.33909375
transcript.pyannote[1707].end 11015.35596875
transcript.pyannote[1708].speaker SPEAKER_16
transcript.pyannote[1708].start 11015.35596875
transcript.pyannote[1708].end 11015.96346875
transcript.pyannote[1709].speaker SPEAKER_05
transcript.pyannote[1709].start 11015.86221875
transcript.pyannote[1709].end 11016.25034375
transcript.pyannote[1710].speaker SPEAKER_05
transcript.pyannote[1710].start 11016.53721875
transcript.pyannote[1710].end 11017.81971875
transcript.pyannote[1711].speaker SPEAKER_16
transcript.pyannote[1711].start 11017.41471875
transcript.pyannote[1711].end 11022.54471875
transcript.pyannote[1712].speaker SPEAKER_16
transcript.pyannote[1712].start 11022.71346875
transcript.pyannote[1712].end 11024.40096875
transcript.pyannote[1713].speaker SPEAKER_16
transcript.pyannote[1713].start 11024.65409375
transcript.pyannote[1713].end 11025.54846875
transcript.pyannote[1714].speaker SPEAKER_16
transcript.pyannote[1714].start 11025.93659375
transcript.pyannote[1714].end 11042.01846875
transcript.pyannote[1715].speaker SPEAKER_16
transcript.pyannote[1715].start 11042.35596875
transcript.pyannote[1715].end 11044.81971875
transcript.pyannote[1716].speaker SPEAKER_05
transcript.pyannote[1716].start 11045.52846875
transcript.pyannote[1716].end 11053.10534375
transcript.pyannote[1717].speaker SPEAKER_05
transcript.pyannote[1717].start 11053.27409375
transcript.pyannote[1717].end 11057.52659375
transcript.pyannote[1718].speaker SPEAKER_05
transcript.pyannote[1718].start 11057.84721875
transcript.pyannote[1718].end 11074.97534375
transcript.pyannote[1719].speaker SPEAKER_16
transcript.pyannote[1719].start 11074.55346875
transcript.pyannote[1719].end 11076.30846875
transcript.pyannote[1720].speaker SPEAKER_05
transcript.pyannote[1720].start 11076.30846875
transcript.pyannote[1720].end 11076.96659375
transcript.pyannote[1721].speaker SPEAKER_16
transcript.pyannote[1721].start 11076.96659375
transcript.pyannote[1721].end 11079.32909375
transcript.pyannote[1722].speaker SPEAKER_16
transcript.pyannote[1722].start 11079.83534375
transcript.pyannote[1722].end 11091.07409375
transcript.pyannote[1723].speaker SPEAKER_16
transcript.pyannote[1723].start 11091.34409375
transcript.pyannote[1723].end 11095.07346875
transcript.pyannote[1724].speaker SPEAKER_16
transcript.pyannote[1724].start 11095.56284375
transcript.pyannote[1724].end 11096.79471875
transcript.pyannote[1725].speaker SPEAKER_16
transcript.pyannote[1725].start 11097.19971875
transcript.pyannote[1725].end 11098.58346875
transcript.pyannote[1726].speaker SPEAKER_16
transcript.pyannote[1726].start 11098.90409375
transcript.pyannote[1726].end 11106.32909375
transcript.pyannote[1727].speaker SPEAKER_16
transcript.pyannote[1727].start 11106.64971875
transcript.pyannote[1727].end 11107.45971875
transcript.pyannote[1728].speaker SPEAKER_16
transcript.pyannote[1728].start 11108.18534375
transcript.pyannote[1728].end 11109.61971875
transcript.pyannote[1729].speaker SPEAKER_16
transcript.pyannote[1729].start 11109.99096875
transcript.pyannote[1729].end 11114.78346875
transcript.pyannote[1730].speaker SPEAKER_16
transcript.pyannote[1730].start 11115.30659375
transcript.pyannote[1730].end 11146.18784375
transcript.pyannote[1731].speaker SPEAKER_05
transcript.pyannote[1731].start 11146.49159375
transcript.pyannote[1731].end 11186.92409375
transcript.pyannote[1732].speaker SPEAKER_05
transcript.pyannote[1732].start 11187.44721875
transcript.pyannote[1732].end 11187.46409375
transcript.pyannote[1733].speaker SPEAKER_16
transcript.pyannote[1733].start 11187.46409375
transcript.pyannote[1733].end 11188.49346875
transcript.pyannote[1734].speaker SPEAKER_05
transcript.pyannote[1734].start 11188.49346875
transcript.pyannote[1734].end 11189.47221875
transcript.pyannote[1735].speaker SPEAKER_16
transcript.pyannote[1735].start 11188.51034375
transcript.pyannote[1735].end 11188.84784375
transcript.pyannote[1736].speaker SPEAKER_16
transcript.pyannote[1736].start 11189.26971875
transcript.pyannote[1736].end 11197.82534375
transcript.pyannote[1737].speaker SPEAKER_16
transcript.pyannote[1737].start 11198.28096875
transcript.pyannote[1737].end 11202.38159375
transcript.pyannote[1738].speaker SPEAKER_16
transcript.pyannote[1738].start 11202.61784375
transcript.pyannote[1738].end 11204.59221875
transcript.pyannote[1739].speaker SPEAKER_16
transcript.pyannote[1739].start 11205.43596875
transcript.pyannote[1739].end 11206.56659375
transcript.pyannote[1740].speaker SPEAKER_16
transcript.pyannote[1740].start 11206.70159375
transcript.pyannote[1740].end 11207.86596875
transcript.pyannote[1741].speaker SPEAKER_16
transcript.pyannote[1741].start 11207.96721875
transcript.pyannote[1741].end 11210.78534375
transcript.pyannote[1742].speaker SPEAKER_16
transcript.pyannote[1742].start 11211.17346875
transcript.pyannote[1742].end 11215.25721875
transcript.pyannote[1743].speaker SPEAKER_16
transcript.pyannote[1743].start 11215.42596875
transcript.pyannote[1743].end 11218.07534375
transcript.pyannote[1744].speaker SPEAKER_16
transcript.pyannote[1744].start 11218.71659375
transcript.pyannote[1744].end 11220.60659375
transcript.pyannote[1745].speaker SPEAKER_16
transcript.pyannote[1745].start 11221.58534375
transcript.pyannote[1745].end 11227.32284375
transcript.pyannote[1746].speaker SPEAKER_16
transcript.pyannote[1746].start 11227.59284375
transcript.pyannote[1746].end 11231.13659375
transcript.pyannote[1747].speaker SPEAKER_05
transcript.pyannote[1747].start 11229.68534375
transcript.pyannote[1747].end 11229.85409375
transcript.pyannote[1748].speaker SPEAKER_05
transcript.pyannote[1748].start 11230.41096875
transcript.pyannote[1748].end 11261.96721875
transcript.pyannote[1749].speaker SPEAKER_16
transcript.pyannote[1749].start 11231.67659375
transcript.pyannote[1749].end 11232.33471875
transcript.pyannote[1750].speaker SPEAKER_16
transcript.pyannote[1750].start 11239.65846875
transcript.pyannote[1750].end 11239.96221875
transcript.pyannote[1751].speaker SPEAKER_00
transcript.pyannote[1751].start 11239.96221875
transcript.pyannote[1751].end 11240.02971875
transcript.pyannote[1752].speaker SPEAKER_00
transcript.pyannote[1752].start 11241.81846875
transcript.pyannote[1752].end 11242.32471875
transcript.pyannote[1753].speaker SPEAKER_16
transcript.pyannote[1753].start 11261.96721875
transcript.pyannote[1753].end 11268.41346875
transcript.pyannote[1754].speaker SPEAKER_16
transcript.pyannote[1754].start 11268.98721875
transcript.pyannote[1754].end 11270.40471875
transcript.pyannote[1755].speaker SPEAKER_16
transcript.pyannote[1755].start 11270.65784375
transcript.pyannote[1755].end 11278.31909375
transcript.pyannote[1756].speaker SPEAKER_16
transcript.pyannote[1756].start 11278.53846875
transcript.pyannote[1756].end 11291.00909375
transcript.pyannote[1757].speaker SPEAKER_00
transcript.pyannote[1757].start 11284.81596875
transcript.pyannote[1757].end 11285.44034375
transcript.pyannote[1758].speaker SPEAKER_16
transcript.pyannote[1758].start 11291.49846875
transcript.pyannote[1758].end 11295.93659375
transcript.pyannote[1759].speaker SPEAKER_26
transcript.pyannote[1759].start 11297.45534375
transcript.pyannote[1759].end 11299.02471875
transcript.pyannote[1760].speaker SPEAKER_26
transcript.pyannote[1760].start 11302.29846875
transcript.pyannote[1760].end 11304.39096875
transcript.pyannote[1761].speaker SPEAKER_30
transcript.pyannote[1761].start 11315.47784375
transcript.pyannote[1761].end 11322.98721875
transcript.pyannote[1762].speaker SPEAKER_26
transcript.pyannote[1762].start 11322.98721875
transcript.pyannote[1762].end 11323.02096875
transcript.pyannote[1763].speaker SPEAKER_07
transcript.pyannote[1763].start 11324.30346875
transcript.pyannote[1763].end 11324.96159375
transcript.pyannote[1764].speaker SPEAKER_30
transcript.pyannote[1764].start 11325.55221875
transcript.pyannote[1764].end 11325.87284375
transcript.pyannote[1765].speaker SPEAKER_30
transcript.pyannote[1765].start 11325.90659375
transcript.pyannote[1765].end 11363.95971875
transcript.pyannote[1766].speaker SPEAKER_30
transcript.pyannote[1766].start 11364.07784375
transcript.pyannote[1766].end 11381.72909375
transcript.pyannote[1767].speaker SPEAKER_05
transcript.pyannote[1767].start 11382.30284375
transcript.pyannote[1767].end 11382.80909375
transcript.pyannote[1768].speaker SPEAKER_05
transcript.pyannote[1768].start 11383.21409375
transcript.pyannote[1768].end 11384.00721875
transcript.pyannote[1769].speaker SPEAKER_05
transcript.pyannote[1769].start 11384.71596875
transcript.pyannote[1769].end 11386.58909375
transcript.pyannote[1770].speaker SPEAKER_05
transcript.pyannote[1770].start 11386.97721875
transcript.pyannote[1770].end 11389.54221875
transcript.pyannote[1771].speaker SPEAKER_05
transcript.pyannote[1771].start 11389.94721875
transcript.pyannote[1771].end 11403.02534375
transcript.pyannote[1772].speaker SPEAKER_30
transcript.pyannote[1772].start 11402.36721875
transcript.pyannote[1772].end 11405.08409375
transcript.pyannote[1773].speaker SPEAKER_05
transcript.pyannote[1773].start 11404.34159375
transcript.pyannote[1773].end 11405.94471875
transcript.pyannote[1774].speaker SPEAKER_30
transcript.pyannote[1774].start 11405.42159375
transcript.pyannote[1774].end 11409.18471875
transcript.pyannote[1775].speaker SPEAKER_30
transcript.pyannote[1775].start 11409.48846875
transcript.pyannote[1775].end 11430.81846875
transcript.pyannote[1776].speaker SPEAKER_30
transcript.pyannote[1776].start 11430.95346875
transcript.pyannote[1776].end 11460.16409375
transcript.pyannote[1777].speaker SPEAKER_30
transcript.pyannote[1777].start 11460.83909375
transcript.pyannote[1777].end 11481.76409375
transcript.pyannote[1778].speaker SPEAKER_30
transcript.pyannote[1778].start 11481.81471875
transcript.pyannote[1778].end 11481.86534375
transcript.pyannote[1779].speaker SPEAKER_30
transcript.pyannote[1779].start 11481.88221875
transcript.pyannote[1779].end 11491.99034375
transcript.pyannote[1780].speaker SPEAKER_05
transcript.pyannote[1780].start 11491.39971875
transcript.pyannote[1780].end 11492.17596875
transcript.pyannote[1781].speaker SPEAKER_05
transcript.pyannote[1781].start 11492.44596875
transcript.pyannote[1781].end 11494.21784375
transcript.pyannote[1782].speaker SPEAKER_05
transcript.pyannote[1782].start 11494.38659375
transcript.pyannote[1782].end 11494.45409375
transcript.pyannote[1783].speaker SPEAKER_30
transcript.pyannote[1783].start 11494.45409375
transcript.pyannote[1783].end 11497.39034375
transcript.pyannote[1784].speaker SPEAKER_05
transcript.pyannote[1784].start 11494.57221875
transcript.pyannote[1784].end 11494.63971875
transcript.pyannote[1785].speaker SPEAKER_05
transcript.pyannote[1785].start 11494.85909375
transcript.pyannote[1785].end 11495.82096875
transcript.pyannote[1786].speaker SPEAKER_05
transcript.pyannote[1786].start 11497.60971875
transcript.pyannote[1786].end 11499.01034375
transcript.pyannote[1787].speaker SPEAKER_30
transcript.pyannote[1787].start 11499.98909375
transcript.pyannote[1787].end 11500.96784375
transcript.pyannote[1788].speaker SPEAKER_29
transcript.pyannote[1788].start 11500.96784375
transcript.pyannote[1788].end 11503.92096875
transcript.pyannote[1789].speaker SPEAKER_29
transcript.pyannote[1789].start 11504.32596875
transcript.pyannote[1789].end 11523.27659375
transcript.pyannote[1790].speaker SPEAKER_28
transcript.pyannote[1790].start 11509.55721875
transcript.pyannote[1790].end 11509.89471875
transcript.pyannote[1791].speaker SPEAKER_29
transcript.pyannote[1791].start 11524.35659375
transcript.pyannote[1791].end 11568.26534375
transcript.pyannote[1792].speaker SPEAKER_30
transcript.pyannote[1792].start 11564.11409375
transcript.pyannote[1792].end 11564.38409375
transcript.pyannote[1793].speaker SPEAKER_30
transcript.pyannote[1793].start 11565.17721875
transcript.pyannote[1793].end 11565.61596875
transcript.pyannote[1794].speaker SPEAKER_29
transcript.pyannote[1794].start 11568.82221875
transcript.pyannote[1794].end 11570.91471875
transcript.pyannote[1795].speaker SPEAKER_30
transcript.pyannote[1795].start 11568.88971875
transcript.pyannote[1795].end 11575.74096875
transcript.pyannote[1796].speaker SPEAKER_30
transcript.pyannote[1796].start 11576.43284375
transcript.pyannote[1796].end 11578.82909375
transcript.pyannote[1797].speaker SPEAKER_05
transcript.pyannote[1797].start 11579.47034375
transcript.pyannote[1797].end 11579.79096875
transcript.pyannote[1798].speaker SPEAKER_05
transcript.pyannote[1798].start 11580.14534375
transcript.pyannote[1798].end 11585.10659375
transcript.pyannote[1799].speaker SPEAKER_30
transcript.pyannote[1799].start 11585.35971875
transcript.pyannote[1799].end 11590.99596875
transcript.pyannote[1800].speaker SPEAKER_05
transcript.pyannote[1800].start 11591.72159375
transcript.pyannote[1800].end 11593.40909375
transcript.pyannote[1801].speaker SPEAKER_30
transcript.pyannote[1801].start 11593.74659375
transcript.pyannote[1801].end 11608.68096875
transcript.pyannote[1802].speaker SPEAKER_05
transcript.pyannote[1802].start 11609.23784375
transcript.pyannote[1802].end 11617.99596875
transcript.pyannote[1803].speaker SPEAKER_30
transcript.pyannote[1803].start 11616.94971875
transcript.pyannote[1803].end 11617.25346875
transcript.pyannote[1804].speaker SPEAKER_05
transcript.pyannote[1804].start 11618.40096875
transcript.pyannote[1804].end 11619.86909375
transcript.pyannote[1805].speaker SPEAKER_30
transcript.pyannote[1805].start 11619.73409375
transcript.pyannote[1805].end 11628.39096875
transcript.pyannote[1806].speaker SPEAKER_05
transcript.pyannote[1806].start 11625.20159375
transcript.pyannote[1806].end 11625.82596875
transcript.pyannote[1807].speaker SPEAKER_05
transcript.pyannote[1807].start 11628.57659375
transcript.pyannote[1807].end 11639.95034375
transcript.pyannote[1808].speaker SPEAKER_30
transcript.pyannote[1808].start 11639.95034375
transcript.pyannote[1808].end 11640.03471875
transcript.pyannote[1809].speaker SPEAKER_05
transcript.pyannote[1809].start 11640.03471875
transcript.pyannote[1809].end 11642.95409375
transcript.pyannote[1810].speaker SPEAKER_30
transcript.pyannote[1810].start 11642.95409375
transcript.pyannote[1810].end 11644.72596875
transcript.pyannote[1811].speaker SPEAKER_35
transcript.pyannote[1811].start 11645.58659375
transcript.pyannote[1811].end 11645.90721875
transcript.pyannote[1812].speaker SPEAKER_30
transcript.pyannote[1812].start 11646.16034375
transcript.pyannote[1812].end 11655.03659375
transcript.pyannote[1813].speaker SPEAKER_05
transcript.pyannote[1813].start 11653.34909375
transcript.pyannote[1813].end 11653.63596875
transcript.pyannote[1814].speaker SPEAKER_05
transcript.pyannote[1814].start 11655.03659375
transcript.pyannote[1814].end 11655.96471875
transcript.pyannote[1815].speaker SPEAKER_30
transcript.pyannote[1815].start 11655.96471875
transcript.pyannote[1815].end 11655.98159375
transcript.pyannote[1816].speaker SPEAKER_05
transcript.pyannote[1816].start 11655.98159375
transcript.pyannote[1816].end 11656.15034375
transcript.pyannote[1817].speaker SPEAKER_30
transcript.pyannote[1817].start 11656.15034375
transcript.pyannote[1817].end 11657.93909375
transcript.pyannote[1818].speaker SPEAKER_05
transcript.pyannote[1818].start 11656.23471875
transcript.pyannote[1818].end 11658.29346875
transcript.pyannote[1819].speaker SPEAKER_05
transcript.pyannote[1819].start 11658.95159375
transcript.pyannote[1819].end 11663.77784375
transcript.pyannote[1820].speaker SPEAKER_30
transcript.pyannote[1820].start 11663.11971875
transcript.pyannote[1820].end 11667.03471875
transcript.pyannote[1821].speaker SPEAKER_05
transcript.pyannote[1821].start 11667.03471875
transcript.pyannote[1821].end 11676.29909375
transcript.pyannote[1822].speaker SPEAKER_29
transcript.pyannote[1822].start 11676.97409375
transcript.pyannote[1822].end 11693.64659375
transcript.pyannote[1823].speaker SPEAKER_00
transcript.pyannote[1823].start 11683.62284375
transcript.pyannote[1823].end 11683.92659375
transcript.pyannote[1824].speaker SPEAKER_28
transcript.pyannote[1824].start 11691.99284375
transcript.pyannote[1824].end 11692.00971875
transcript.pyannote[1825].speaker SPEAKER_30
transcript.pyannote[1825].start 11692.00971875
transcript.pyannote[1825].end 11701.51034375
transcript.pyannote[1826].speaker SPEAKER_29
transcript.pyannote[1826].start 11694.13596875
transcript.pyannote[1826].end 11695.18221875
transcript.pyannote[1827].speaker SPEAKER_29
transcript.pyannote[1827].start 11702.11784375
transcript.pyannote[1827].end 11702.33721875
transcript.pyannote[1828].speaker SPEAKER_29
transcript.pyannote[1828].start 11702.79284375
transcript.pyannote[1828].end 11713.71096875
transcript.pyannote[1829].speaker SPEAKER_30
transcript.pyannote[1829].start 11713.15409375
transcript.pyannote[1829].end 11716.17471875
transcript.pyannote[1830].speaker SPEAKER_07
transcript.pyannote[1830].start 11717.49096875
transcript.pyannote[1830].end 11717.81159375
transcript.pyannote[1831].speaker SPEAKER_05
transcript.pyannote[1831].start 11717.81159375
transcript.pyannote[1831].end 11718.03096875
transcript.pyannote[1832].speaker SPEAKER_30
transcript.pyannote[1832].start 11718.77346875
transcript.pyannote[1832].end 11723.29596875
transcript.pyannote[1833].speaker SPEAKER_30
transcript.pyannote[1833].start 11723.59971875
transcript.pyannote[1833].end 11729.70846875
transcript.pyannote[1834].speaker SPEAKER_05
transcript.pyannote[1834].start 11727.64971875
transcript.pyannote[1834].end 11747.49471875
transcript.pyannote[1835].speaker SPEAKER_30
transcript.pyannote[1835].start 11743.37721875
transcript.pyannote[1835].end 11743.83284375
transcript.pyannote[1836].speaker SPEAKER_30
transcript.pyannote[1836].start 11744.03534375
transcript.pyannote[1836].end 11745.16596875
transcript.pyannote[1837].speaker SPEAKER_30
transcript.pyannote[1837].start 11747.27534375
transcript.pyannote[1837].end 11753.09721875
transcript.pyannote[1838].speaker SPEAKER_30
transcript.pyannote[1838].start 11753.46846875
transcript.pyannote[1838].end 11756.35409375
transcript.pyannote[1839].speaker SPEAKER_30
transcript.pyannote[1839].start 11756.91096875
transcript.pyannote[1839].end 11757.02909375
transcript.pyannote[1840].speaker SPEAKER_05
transcript.pyannote[1840].start 11757.02909375
transcript.pyannote[1840].end 11757.97409375
transcript.pyannote[1841].speaker SPEAKER_30
transcript.pyannote[1841].start 11757.97409375
transcript.pyannote[1841].end 11758.02471875
transcript.pyannote[1842].speaker SPEAKER_05
transcript.pyannote[1842].start 11758.02471875
transcript.pyannote[1842].end 11758.90221875
transcript.pyannote[1843].speaker SPEAKER_30
transcript.pyannote[1843].start 11758.90221875
transcript.pyannote[1843].end 11767.40721875
transcript.pyannote[1844].speaker SPEAKER_05
transcript.pyannote[1844].start 11758.91909375
transcript.pyannote[1844].end 11759.37471875
transcript.pyannote[1845].speaker SPEAKER_05
transcript.pyannote[1845].start 11760.80909375
transcript.pyannote[1845].end 11761.23096875
transcript.pyannote[1846].speaker SPEAKER_05
transcript.pyannote[1846].start 11768.01471875
transcript.pyannote[1846].end 11774.74784375
transcript.pyannote[1847].speaker SPEAKER_30
transcript.pyannote[1847].start 11775.52409375
transcript.pyannote[1847].end 11783.08409375
transcript.pyannote[1848].speaker SPEAKER_30
transcript.pyannote[1848].start 11783.79284375
transcript.pyannote[1848].end 11786.52659375
transcript.pyannote[1849].speaker SPEAKER_30
transcript.pyannote[1849].start 11786.96534375
transcript.pyannote[1849].end 11788.66971875
transcript.pyannote[1850].speaker SPEAKER_05
transcript.pyannote[1850].start 11790.18846875
transcript.pyannote[1850].end 11811.58596875
transcript.pyannote[1851].speaker SPEAKER_30
transcript.pyannote[1851].start 11811.58596875
transcript.pyannote[1851].end 11814.03284375
transcript.pyannote[1852].speaker SPEAKER_05
transcript.pyannote[1852].start 11814.03284375
transcript.pyannote[1852].end 11826.16596875
transcript.pyannote[1853].speaker SPEAKER_05
transcript.pyannote[1853].start 11826.26721875
transcript.pyannote[1853].end 11831.97096875
transcript.pyannote[1854].speaker SPEAKER_05
transcript.pyannote[1854].start 11832.37596875
transcript.pyannote[1854].end 11833.15221875
transcript.pyannote[1855].speaker SPEAKER_30
transcript.pyannote[1855].start 11832.56159375
transcript.pyannote[1855].end 11837.79284375
transcript.pyannote[1856].speaker SPEAKER_30
transcript.pyannote[1856].start 11838.19784375
transcript.pyannote[1856].end 11838.82221875
transcript.pyannote[1857].speaker SPEAKER_26
transcript.pyannote[1857].start 11839.64909375
transcript.pyannote[1857].end 11841.25221875
transcript.pyannote[1858].speaker SPEAKER_26
transcript.pyannote[1858].start 11843.86784375
transcript.pyannote[1858].end 11846.06159375
transcript.pyannote[1859].speaker SPEAKER_12
transcript.pyannote[1859].start 11861.06346875
transcript.pyannote[1859].end 11862.86909375
transcript.pyannote[1860].speaker SPEAKER_12
transcript.pyannote[1860].start 11863.12221875
transcript.pyannote[1860].end 11864.89409375
transcript.pyannote[1861].speaker SPEAKER_25
transcript.pyannote[1861].start 11865.02909375
transcript.pyannote[1861].end 11866.24409375
transcript.pyannote[1862].speaker SPEAKER_12
transcript.pyannote[1862].start 11872.01534375
transcript.pyannote[1862].end 11872.90971875
transcript.pyannote[1863].speaker SPEAKER_12
transcript.pyannote[1863].start 11873.43284375
transcript.pyannote[1863].end 11876.03159375
transcript.pyannote[1864].speaker SPEAKER_12
transcript.pyannote[1864].start 11876.62221875
transcript.pyannote[1864].end 11880.75659375
transcript.pyannote[1865].speaker SPEAKER_12
transcript.pyannote[1865].start 11881.16159375
transcript.pyannote[1865].end 11884.77284375
transcript.pyannote[1866].speaker SPEAKER_12
transcript.pyannote[1866].start 11885.80221875
transcript.pyannote[1866].end 11886.76409375
transcript.pyannote[1867].speaker SPEAKER_12
transcript.pyannote[1867].start 11887.30409375
transcript.pyannote[1867].end 11892.13034375
transcript.pyannote[1868].speaker SPEAKER_05
transcript.pyannote[1868].start 11893.58159375
transcript.pyannote[1868].end 11894.25659375
transcript.pyannote[1869].speaker SPEAKER_05
transcript.pyannote[1869].start 11894.71221875
transcript.pyannote[1869].end 11896.29846875
transcript.pyannote[1870].speaker SPEAKER_05
transcript.pyannote[1870].start 11896.63596875
transcript.pyannote[1870].end 11897.96909375
transcript.pyannote[1871].speaker SPEAKER_05
transcript.pyannote[1871].start 11898.34034375
transcript.pyannote[1871].end 11899.99409375
transcript.pyannote[1872].speaker SPEAKER_05
transcript.pyannote[1872].start 11900.68596875
transcript.pyannote[1872].end 11903.97659375
transcript.pyannote[1873].speaker SPEAKER_12
transcript.pyannote[1873].start 11904.04409375
transcript.pyannote[1873].end 11905.25909375
transcript.pyannote[1874].speaker SPEAKER_05
transcript.pyannote[1874].start 11906.11971875
transcript.pyannote[1874].end 11907.30096875
transcript.pyannote[1875].speaker SPEAKER_12
transcript.pyannote[1875].start 11907.13221875
transcript.pyannote[1875].end 11910.35534375
transcript.pyannote[1876].speaker SPEAKER_05
transcript.pyannote[1876].start 11907.80721875
transcript.pyannote[1876].end 11908.44846875
transcript.pyannote[1877].speaker SPEAKER_05
transcript.pyannote[1877].start 11910.92909375
transcript.pyannote[1877].end 11911.90784375
transcript.pyannote[1878].speaker SPEAKER_12
transcript.pyannote[1878].start 11911.90784375
transcript.pyannote[1878].end 11912.80221875
transcript.pyannote[1879].speaker SPEAKER_05
transcript.pyannote[1879].start 11913.96659375
transcript.pyannote[1879].end 11914.45596875
transcript.pyannote[1880].speaker SPEAKER_05
transcript.pyannote[1880].start 11914.55721875
transcript.pyannote[1880].end 11915.08034375
transcript.pyannote[1881].speaker SPEAKER_05
transcript.pyannote[1881].start 11915.23221875
transcript.pyannote[1881].end 11915.29971875
transcript.pyannote[1882].speaker SPEAKER_12
transcript.pyannote[1882].start 11915.29971875
transcript.pyannote[1882].end 11916.93659375
transcript.pyannote[1883].speaker SPEAKER_12
transcript.pyannote[1883].start 11917.20659375
transcript.pyannote[1883].end 11918.40471875
transcript.pyannote[1884].speaker SPEAKER_12
transcript.pyannote[1884].start 11918.60721875
transcript.pyannote[1884].end 11919.78846875
transcript.pyannote[1885].speaker SPEAKER_05
transcript.pyannote[1885].start 11919.87284375
transcript.pyannote[1885].end 11920.31159375
transcript.pyannote[1886].speaker SPEAKER_05
transcript.pyannote[1886].start 11920.59846875
transcript.pyannote[1886].end 11927.95596875
transcript.pyannote[1887].speaker SPEAKER_12
transcript.pyannote[1887].start 11927.95596875
transcript.pyannote[1887].end 11929.59284375
transcript.pyannote[1888].speaker SPEAKER_05
transcript.pyannote[1888].start 11930.20034375
transcript.pyannote[1888].end 11941.52346875
transcript.pyannote[1889].speaker SPEAKER_12
transcript.pyannote[1889].start 11941.08471875
transcript.pyannote[1889].end 11943.02534375
transcript.pyannote[1890].speaker SPEAKER_05
transcript.pyannote[1890].start 11943.09284375
transcript.pyannote[1890].end 11951.80034375
transcript.pyannote[1891].speaker SPEAKER_12
transcript.pyannote[1891].start 11949.64034375
transcript.pyannote[1891].end 11950.02846875
transcript.pyannote[1892].speaker SPEAKER_12
transcript.pyannote[1892].start 11952.30659375
transcript.pyannote[1892].end 11955.98534375
transcript.pyannote[1893].speaker SPEAKER_12
transcript.pyannote[1893].start 11956.52534375
transcript.pyannote[1893].end 11957.55471875
transcript.pyannote[1894].speaker SPEAKER_12
transcript.pyannote[1894].start 11958.06096875
transcript.pyannote[1894].end 11959.30971875
transcript.pyannote[1895].speaker SPEAKER_35
transcript.pyannote[1895].start 11959.47846875
transcript.pyannote[1895].end 11959.74846875
transcript.pyannote[1896].speaker SPEAKER_12
transcript.pyannote[1896].start 11960.42346875
transcript.pyannote[1896].end 11963.64659375
transcript.pyannote[1897].speaker SPEAKER_12
transcript.pyannote[1897].start 11964.25409375
transcript.pyannote[1897].end 11968.38846875
transcript.pyannote[1898].speaker SPEAKER_12
transcript.pyannote[1898].start 11968.70909375
transcript.pyannote[1898].end 11969.31659375
transcript.pyannote[1899].speaker SPEAKER_12
transcript.pyannote[1899].start 11970.31221875
transcript.pyannote[1899].end 11972.77596875
transcript.pyannote[1900].speaker SPEAKER_12
transcript.pyannote[1900].start 11972.97846875
transcript.pyannote[1900].end 11974.02471875
transcript.pyannote[1901].speaker SPEAKER_12
transcript.pyannote[1901].start 11974.69971875
transcript.pyannote[1901].end 11978.09159375
transcript.pyannote[1902].speaker SPEAKER_12
transcript.pyannote[1902].start 11978.73284375
transcript.pyannote[1902].end 11981.88846875
transcript.pyannote[1903].speaker SPEAKER_05
transcript.pyannote[1903].start 11982.83346875
transcript.pyannote[1903].end 11983.27221875
transcript.pyannote[1904].speaker SPEAKER_05
transcript.pyannote[1904].start 11983.50846875
transcript.pyannote[1904].end 12006.84659375
transcript.pyannote[1905].speaker SPEAKER_12
transcript.pyannote[1905].start 12006.44159375
transcript.pyannote[1905].end 12008.83784375
transcript.pyannote[1906].speaker SPEAKER_05
transcript.pyannote[1906].start 12009.34409375
transcript.pyannote[1906].end 12010.71096875
transcript.pyannote[1907].speaker SPEAKER_12
transcript.pyannote[1907].start 12010.93034375
transcript.pyannote[1907].end 12011.57159375
transcript.pyannote[1908].speaker SPEAKER_05
transcript.pyannote[1908].start 12011.48721875
transcript.pyannote[1908].end 12011.52096875
transcript.pyannote[1909].speaker SPEAKER_05
transcript.pyannote[1909].start 12011.57159375
transcript.pyannote[1909].end 12015.31784375
transcript.pyannote[1910].speaker SPEAKER_12
transcript.pyannote[1910].start 12016.29659375
transcript.pyannote[1910].end 12025.45971875
transcript.pyannote[1911].speaker SPEAKER_12
transcript.pyannote[1911].start 12025.94909375
transcript.pyannote[1911].end 12028.96971875
transcript.pyannote[1912].speaker SPEAKER_05
transcript.pyannote[1912].start 12027.95721875
transcript.pyannote[1912].end 12036.17534375
transcript.pyannote[1913].speaker SPEAKER_12
transcript.pyannote[1913].start 12031.14659375
transcript.pyannote[1913].end 12031.83846875
transcript.pyannote[1914].speaker SPEAKER_12
transcript.pyannote[1914].start 12035.82096875
transcript.pyannote[1914].end 12039.97221875
transcript.pyannote[1915].speaker SPEAKER_05
transcript.pyannote[1915].start 12040.36034375
transcript.pyannote[1915].end 12045.13596875
transcript.pyannote[1916].speaker SPEAKER_12
transcript.pyannote[1916].start 12044.88284375
transcript.pyannote[1916].end 12047.93721875
transcript.pyannote[1917].speaker SPEAKER_35
transcript.pyannote[1917].start 12047.93721875
transcript.pyannote[1917].end 12048.32534375
transcript.pyannote[1918].speaker SPEAKER_05
transcript.pyannote[1918].start 12048.32534375
transcript.pyannote[1918].end 12053.70846875
transcript.pyannote[1919].speaker SPEAKER_12
transcript.pyannote[1919].start 12048.78096875
transcript.pyannote[1919].end 12049.10159375
transcript.pyannote[1920].speaker SPEAKER_12
transcript.pyannote[1920].start 12053.70846875
transcript.pyannote[1920].end 12055.69971875
transcript.pyannote[1921].speaker SPEAKER_05
transcript.pyannote[1921].start 12053.74221875
transcript.pyannote[1921].end 12053.77596875
transcript.pyannote[1922].speaker SPEAKER_12
transcript.pyannote[1922].start 12056.40846875
transcript.pyannote[1922].end 12060.28971875
transcript.pyannote[1923].speaker SPEAKER_12
transcript.pyannote[1923].start 12060.79596875
transcript.pyannote[1923].end 12063.05721875
transcript.pyannote[1924].speaker SPEAKER_12
transcript.pyannote[1924].start 12063.52971875
transcript.pyannote[1924].end 12064.28909375
transcript.pyannote[1925].speaker SPEAKER_12
transcript.pyannote[1925].start 12065.62221875
transcript.pyannote[1925].end 12066.80346875
transcript.pyannote[1926].speaker SPEAKER_12
transcript.pyannote[1926].start 12067.41096875
transcript.pyannote[1926].end 12068.69346875
transcript.pyannote[1927].speaker SPEAKER_12
transcript.pyannote[1927].start 12070.12784375
transcript.pyannote[1927].end 12070.19534375
transcript.pyannote[1928].speaker SPEAKER_05
transcript.pyannote[1928].start 12070.19534375
transcript.pyannote[1928].end 12070.27971875
transcript.pyannote[1929].speaker SPEAKER_12
transcript.pyannote[1929].start 12070.27971875
transcript.pyannote[1929].end 12070.38096875
transcript.pyannote[1930].speaker SPEAKER_05
transcript.pyannote[1930].start 12070.38096875
transcript.pyannote[1930].end 12070.49909375
transcript.pyannote[1931].speaker SPEAKER_12
transcript.pyannote[1931].start 12070.49909375
transcript.pyannote[1931].end 12070.53284375
transcript.pyannote[1932].speaker SPEAKER_05
transcript.pyannote[1932].start 12071.22471875
transcript.pyannote[1932].end 12072.52409375
transcript.pyannote[1933].speaker SPEAKER_12
transcript.pyannote[1933].start 12072.30471875
transcript.pyannote[1933].end 12076.35471875
transcript.pyannote[1934].speaker SPEAKER_12
transcript.pyannote[1934].start 12077.50221875
transcript.pyannote[1934].end 12079.78034375
transcript.pyannote[1935].speaker SPEAKER_05
transcript.pyannote[1935].start 12081.29909375
transcript.pyannote[1935].end 12087.64409375
transcript.pyannote[1936].speaker SPEAKER_05
transcript.pyannote[1936].start 12088.09971875
transcript.pyannote[1936].end 12092.55471875
transcript.pyannote[1937].speaker SPEAKER_12
transcript.pyannote[1937].start 12092.95971875
transcript.pyannote[1937].end 12095.57534375
transcript.pyannote[1938].speaker SPEAKER_05
transcript.pyannote[1938].start 12092.99346875
transcript.pyannote[1938].end 12093.39846875
transcript.pyannote[1939].speaker SPEAKER_12
transcript.pyannote[1939].start 12096.41909375
transcript.pyannote[1939].end 12099.00096875
transcript.pyannote[1940].speaker SPEAKER_05
transcript.pyannote[1940].start 12099.00096875
transcript.pyannote[1940].end 12099.03471875
transcript.pyannote[1941].speaker SPEAKER_12
transcript.pyannote[1941].start 12099.03471875
transcript.pyannote[1941].end 12099.06846875
transcript.pyannote[1942].speaker SPEAKER_05
transcript.pyannote[1942].start 12099.06846875
transcript.pyannote[1942].end 12099.35534375
transcript.pyannote[1943].speaker SPEAKER_12
transcript.pyannote[1943].start 12099.35534375
transcript.pyannote[1943].end 12101.88659375
transcript.pyannote[1944].speaker SPEAKER_12
transcript.pyannote[1944].start 12102.62909375
transcript.pyannote[1944].end 12105.73409375
transcript.pyannote[1945].speaker SPEAKER_05
transcript.pyannote[1945].start 12105.73409375
transcript.pyannote[1945].end 12105.91971875
transcript.pyannote[1946].speaker SPEAKER_12
transcript.pyannote[1946].start 12105.91971875
transcript.pyannote[1946].end 12107.08409375
transcript.pyannote[1947].speaker SPEAKER_12
transcript.pyannote[1947].start 12107.74221875
transcript.pyannote[1947].end 12109.02471875
transcript.pyannote[1948].speaker SPEAKER_12
transcript.pyannote[1948].start 12109.41284375
transcript.pyannote[1948].end 12109.90221875
transcript.pyannote[1949].speaker SPEAKER_05
transcript.pyannote[1949].start 12109.61534375
transcript.pyannote[1949].end 12109.88534375
transcript.pyannote[1950].speaker SPEAKER_05
transcript.pyannote[1950].start 12109.90221875
transcript.pyannote[1950].end 12110.61096875
transcript.pyannote[1951].speaker SPEAKER_12
transcript.pyannote[1951].start 12110.61096875
transcript.pyannote[1951].end 12113.71596875
transcript.pyannote[1952].speaker SPEAKER_05
transcript.pyannote[1952].start 12114.10409375
transcript.pyannote[1952].end 12141.08721875
transcript.pyannote[1953].speaker SPEAKER_12
transcript.pyannote[1953].start 12141.07034375
transcript.pyannote[1953].end 12143.46659375
transcript.pyannote[1954].speaker SPEAKER_12
transcript.pyannote[1954].start 12143.65221875
transcript.pyannote[1954].end 12145.59284375
transcript.pyannote[1955].speaker SPEAKER_05
transcript.pyannote[1955].start 12146.41971875
transcript.pyannote[1955].end 12146.45346875
transcript.pyannote[1956].speaker SPEAKER_12
transcript.pyannote[1956].start 12146.45346875
transcript.pyannote[1956].end 12146.84159375
transcript.pyannote[1957].speaker SPEAKER_05
transcript.pyannote[1957].start 12146.84159375
transcript.pyannote[1957].end 12146.85846875
transcript.pyannote[1958].speaker SPEAKER_12
transcript.pyannote[1958].start 12146.85846875
transcript.pyannote[1958].end 12146.89221875
transcript.pyannote[1959].speaker SPEAKER_05
transcript.pyannote[1959].start 12146.97659375
transcript.pyannote[1959].end 12147.76971875
transcript.pyannote[1960].speaker SPEAKER_12
transcript.pyannote[1960].start 12147.90471875
transcript.pyannote[1960].end 12148.69784375
transcript.pyannote[1961].speaker SPEAKER_05
transcript.pyannote[1961].start 12148.69784375
transcript.pyannote[1961].end 12148.95096875
transcript.pyannote[1962].speaker SPEAKER_12
transcript.pyannote[1962].start 12149.35596875
transcript.pyannote[1962].end 12151.34721875
transcript.pyannote[1963].speaker SPEAKER_12
transcript.pyannote[1963].start 12152.30909375
transcript.pyannote[1963].end 12154.68846875
transcript.pyannote[1964].speaker SPEAKER_12
transcript.pyannote[1964].start 12155.41409375
transcript.pyannote[1964].end 12160.84784375
transcript.pyannote[1965].speaker SPEAKER_35
transcript.pyannote[1965].start 12161.47221875
transcript.pyannote[1965].end 12161.72534375
transcript.pyannote[1966].speaker SPEAKER_05
transcript.pyannote[1966].start 12161.89409375
transcript.pyannote[1966].end 12161.91096875
transcript.pyannote[1967].speaker SPEAKER_12
transcript.pyannote[1967].start 12161.91096875
transcript.pyannote[1967].end 12163.48034375
transcript.pyannote[1968].speaker SPEAKER_05
transcript.pyannote[1968].start 12161.96159375
transcript.pyannote[1968].end 12162.31596875
transcript.pyannote[1969].speaker SPEAKER_06
transcript.pyannote[1969].start 12162.31596875
transcript.pyannote[1969].end 12162.41721875
transcript.pyannote[1970].speaker SPEAKER_05
transcript.pyannote[1970].start 12162.41721875
transcript.pyannote[1970].end 12162.56909375
transcript.pyannote[1971].speaker SPEAKER_06
transcript.pyannote[1971].start 12163.10909375
transcript.pyannote[1971].end 12163.17659375
transcript.pyannote[1972].speaker SPEAKER_05
transcript.pyannote[1972].start 12163.17659375
transcript.pyannote[1972].end 12164.44221875
transcript.pyannote[1973].speaker SPEAKER_05
transcript.pyannote[1973].start 12165.04971875
transcript.pyannote[1973].end 12165.38721875
transcript.pyannote[1974].speaker SPEAKER_12
transcript.pyannote[1974].start 12165.38721875
transcript.pyannote[1974].end 12166.75409375
transcript.pyannote[1975].speaker SPEAKER_06
transcript.pyannote[1975].start 12167.83409375
transcript.pyannote[1975].end 12173.63909375
transcript.pyannote[1976].speaker SPEAKER_12
transcript.pyannote[1976].start 12173.89221875
transcript.pyannote[1976].end 12174.97221875
transcript.pyannote[1977].speaker SPEAKER_12
transcript.pyannote[1977].start 12175.79909375
transcript.pyannote[1977].end 12178.22909375
transcript.pyannote[1978].speaker SPEAKER_06
transcript.pyannote[1978].start 12179.30909375
transcript.pyannote[1978].end 12180.67596875
transcript.pyannote[1979].speaker SPEAKER_12
transcript.pyannote[1979].start 12180.01784375
transcript.pyannote[1979].end 12181.55346875
transcript.pyannote[1980].speaker SPEAKER_06
transcript.pyannote[1980].start 12182.44784375
transcript.pyannote[1980].end 12195.03659375
transcript.pyannote[1981].speaker SPEAKER_12
transcript.pyannote[1981].start 12195.67784375
transcript.pyannote[1981].end 12199.13721875
transcript.pyannote[1982].speaker SPEAKER_12
transcript.pyannote[1982].start 12199.49159375
transcript.pyannote[1982].end 12199.71096875
transcript.pyannote[1983].speaker SPEAKER_06
transcript.pyannote[1983].start 12199.71096875
transcript.pyannote[1983].end 12200.70659375
transcript.pyannote[1984].speaker SPEAKER_12
transcript.pyannote[1984].start 12200.70659375
transcript.pyannote[1984].end 12200.72346875
transcript.pyannote[1985].speaker SPEAKER_12
transcript.pyannote[1985].start 12200.82471875
transcript.pyannote[1985].end 12201.97221875
transcript.pyannote[1986].speaker SPEAKER_06
transcript.pyannote[1986].start 12201.97221875
transcript.pyannote[1986].end 12202.81596875
transcript.pyannote[1987].speaker SPEAKER_12
transcript.pyannote[1987].start 12203.67659375
transcript.pyannote[1987].end 12204.58784375
transcript.pyannote[1988].speaker SPEAKER_12
transcript.pyannote[1988].start 12206.25846875
transcript.pyannote[1988].end 12207.54096875
transcript.pyannote[1989].speaker SPEAKER_12
transcript.pyannote[1989].start 12208.77284375
transcript.pyannote[1989].end 12212.68784375
transcript.pyannote[1990].speaker SPEAKER_06
transcript.pyannote[1990].start 12212.80596875
transcript.pyannote[1990].end 12217.56471875
transcript.pyannote[1991].speaker SPEAKER_06
transcript.pyannote[1991].start 12218.10471875
transcript.pyannote[1991].end 12234.92909375
transcript.pyannote[1992].speaker SPEAKER_12
transcript.pyannote[1992].start 12232.56659375
transcript.pyannote[1992].end 12233.20784375
transcript.pyannote[1993].speaker SPEAKER_12
transcript.pyannote[1993].start 12235.50284375
transcript.pyannote[1993].end 12238.65846875
transcript.pyannote[1994].speaker SPEAKER_06
transcript.pyannote[1994].start 12235.75596875
transcript.pyannote[1994].end 12236.88659375
transcript.pyannote[1995].speaker SPEAKER_12
transcript.pyannote[1995].start 12239.01284375
transcript.pyannote[1995].end 12241.27409375
transcript.pyannote[1996].speaker SPEAKER_06
transcript.pyannote[1996].start 12241.27409375
transcript.pyannote[1996].end 12243.36659375
transcript.pyannote[1997].speaker SPEAKER_12
transcript.pyannote[1997].start 12244.54784375
transcript.pyannote[1997].end 12253.69409375
transcript.pyannote[1998].speaker SPEAKER_06
transcript.pyannote[1998].start 12250.21784375
transcript.pyannote[1998].end 12251.28096875
transcript.pyannote[1999].speaker SPEAKER_12
transcript.pyannote[1999].start 12254.21721875
transcript.pyannote[1999].end 12256.39409375
transcript.pyannote[2000].speaker SPEAKER_06
transcript.pyannote[2000].start 12256.78221875
transcript.pyannote[2000].end 12262.01346875
transcript.pyannote[2001].speaker SPEAKER_12
transcript.pyannote[2001].start 12261.77721875
transcript.pyannote[2001].end 12264.29159375
transcript.pyannote[2002].speaker SPEAKER_12
transcript.pyannote[2002].start 12265.18596875
transcript.pyannote[2002].end 12267.26159375
transcript.pyannote[2003].speaker SPEAKER_12
transcript.pyannote[2003].start 12268.12221875
transcript.pyannote[2003].end 12271.02471875
transcript.pyannote[2004].speaker SPEAKER_12
transcript.pyannote[2004].start 12271.81784375
transcript.pyannote[2004].end 12273.77534375
transcript.pyannote[2005].speaker SPEAKER_05
transcript.pyannote[2005].start 12274.24784375
transcript.pyannote[2005].end 12275.78346875
transcript.pyannote[2006].speaker SPEAKER_12
transcript.pyannote[2006].start 12275.54721875
transcript.pyannote[2006].end 12276.08721875
transcript.pyannote[2007].speaker SPEAKER_12
transcript.pyannote[2007].start 12276.99846875
transcript.pyannote[2007].end 12277.01534375
transcript.pyannote[2008].speaker SPEAKER_06
transcript.pyannote[2008].start 12277.01534375
transcript.pyannote[2008].end 12294.59909375
transcript.pyannote[2009].speaker SPEAKER_12
transcript.pyannote[2009].start 12295.78034375
transcript.pyannote[2009].end 12297.82221875
transcript.pyannote[2010].speaker SPEAKER_12
transcript.pyannote[2010].start 12298.76721875
transcript.pyannote[2010].end 12300.72471875
transcript.pyannote[2011].speaker SPEAKER_06
transcript.pyannote[2011].start 12300.72471875
transcript.pyannote[2011].end 12301.24784375
transcript.pyannote[2012].speaker SPEAKER_06
transcript.pyannote[2012].start 12301.90596875
transcript.pyannote[2012].end 12323.64096875
transcript.pyannote[2013].speaker SPEAKER_12
transcript.pyannote[2013].start 12324.34971875
transcript.pyannote[2013].end 12326.23971875
transcript.pyannote[2014].speaker SPEAKER_12
transcript.pyannote[2014].start 12326.57721875
transcript.pyannote[2014].end 12330.37409375
transcript.pyannote[2015].speaker SPEAKER_12
transcript.pyannote[2015].start 12330.84659375
transcript.pyannote[2015].end 12333.34409375
transcript.pyannote[2016].speaker SPEAKER_12
transcript.pyannote[2016].start 12333.96846875
transcript.pyannote[2016].end 12337.47846875
transcript.pyannote[2017].speaker SPEAKER_06
transcript.pyannote[2017].start 12338.27159375
transcript.pyannote[2017].end 12348.91971875
transcript.pyannote[2018].speaker SPEAKER_12
transcript.pyannote[2018].start 12348.91971875
transcript.pyannote[2018].end 12351.78846875
transcript.pyannote[2019].speaker SPEAKER_12
transcript.pyannote[2019].start 12352.46346875
transcript.pyannote[2019].end 12358.42034375
transcript.pyannote[2020].speaker SPEAKER_12
transcript.pyannote[2020].start 12358.43721875
transcript.pyannote[2020].end 12358.45409375
transcript.pyannote[2021].speaker SPEAKER_06
transcript.pyannote[2021].start 12358.45409375
transcript.pyannote[2021].end 12361.69409375
transcript.pyannote[2022].speaker SPEAKER_12
transcript.pyannote[2022].start 12361.69409375
transcript.pyannote[2022].end 12366.03096875
transcript.pyannote[2023].speaker SPEAKER_26
transcript.pyannote[2023].start 12366.14909375
transcript.pyannote[2023].end 12368.17409375
transcript.pyannote[2024].speaker SPEAKER_26
transcript.pyannote[2024].start 12372.64596875
transcript.pyannote[2024].end 12373.87784375
transcript.pyannote[2025].speaker SPEAKER_26
transcript.pyannote[2025].start 12374.62034375
transcript.pyannote[2025].end 12375.80159375
transcript.pyannote[2026].speaker SPEAKER_33
transcript.pyannote[2026].start 12382.53471875
transcript.pyannote[2026].end 12383.69909375
transcript.pyannote[2027].speaker SPEAKER_33
transcript.pyannote[2027].start 12384.34034375
transcript.pyannote[2027].end 12385.62284375
transcript.pyannote[2028].speaker SPEAKER_25
transcript.pyannote[2028].start 12385.90971875
transcript.pyannote[2028].end 12386.71971875
transcript.pyannote[2029].speaker SPEAKER_33
transcript.pyannote[2029].start 12390.97221875
transcript.pyannote[2029].end 12391.47846875
transcript.pyannote[2030].speaker SPEAKER_07
transcript.pyannote[2030].start 12391.47846875
transcript.pyannote[2030].end 12391.49534375
transcript.pyannote[2031].speaker SPEAKER_33
transcript.pyannote[2031].start 12391.91721875
transcript.pyannote[2031].end 12392.52471875
transcript.pyannote[2032].speaker SPEAKER_33
transcript.pyannote[2032].start 12393.03096875
transcript.pyannote[2032].end 12394.90409375
transcript.pyannote[2033].speaker SPEAKER_33
transcript.pyannote[2033].start 12395.74784375
transcript.pyannote[2033].end 12398.68409375
transcript.pyannote[2034].speaker SPEAKER_33
transcript.pyannote[2034].start 12399.02159375
transcript.pyannote[2034].end 12400.13534375
transcript.pyannote[2035].speaker SPEAKER_33
transcript.pyannote[2035].start 12400.69221875
transcript.pyannote[2035].end 12402.51471875
transcript.pyannote[2036].speaker SPEAKER_33
transcript.pyannote[2036].start 12402.81846875
transcript.pyannote[2036].end 12404.10096875
transcript.pyannote[2037].speaker SPEAKER_33
transcript.pyannote[2037].start 12404.59034375
transcript.pyannote[2037].end 12406.14284375
transcript.pyannote[2038].speaker SPEAKER_07
transcript.pyannote[2038].start 12406.68284375
transcript.pyannote[2038].end 12406.73346875
transcript.pyannote[2039].speaker SPEAKER_05
transcript.pyannote[2039].start 12406.73346875
transcript.pyannote[2039].end 12407.27346875
transcript.pyannote[2040].speaker SPEAKER_33
transcript.pyannote[2040].start 12408.45471875
transcript.pyannote[2040].end 12410.36159375
transcript.pyannote[2041].speaker SPEAKER_05
transcript.pyannote[2041].start 12411.12096875
transcript.pyannote[2041].end 12412.89284375
transcript.pyannote[2042].speaker SPEAKER_05
transcript.pyannote[2042].start 12413.65221875
transcript.pyannote[2042].end 12415.08659375
transcript.pyannote[2043].speaker SPEAKER_33
transcript.pyannote[2043].start 12414.17534375
transcript.pyannote[2043].end 12415.76159375
transcript.pyannote[2044].speaker SPEAKER_05
transcript.pyannote[2044].start 12415.86284375
transcript.pyannote[2044].end 12419.03534375
transcript.pyannote[2045].speaker SPEAKER_33
transcript.pyannote[2045].start 12418.51221875
transcript.pyannote[2045].end 12419.86221875
transcript.pyannote[2046].speaker SPEAKER_33
transcript.pyannote[2046].start 12420.14909375
transcript.pyannote[2046].end 12420.97596875
transcript.pyannote[2047].speaker SPEAKER_05
transcript.pyannote[2047].start 12421.19534375
transcript.pyannote[2047].end 12422.03909375
transcript.pyannote[2048].speaker SPEAKER_33
transcript.pyannote[2048].start 12421.76909375
transcript.pyannote[2048].end 12421.88721875
transcript.pyannote[2049].speaker SPEAKER_33
transcript.pyannote[2049].start 12422.03909375
transcript.pyannote[2049].end 12423.37221875
transcript.pyannote[2050].speaker SPEAKER_05
transcript.pyannote[2050].start 12422.07284375
transcript.pyannote[2050].end 12422.12346875
transcript.pyannote[2051].speaker SPEAKER_33
transcript.pyannote[2051].start 12424.04721875
transcript.pyannote[2051].end 12424.90784375
transcript.pyannote[2052].speaker SPEAKER_33
transcript.pyannote[2052].start 12425.17784375
transcript.pyannote[2052].end 12426.27471875
transcript.pyannote[2053].speaker SPEAKER_33
transcript.pyannote[2053].start 12427.40534375
transcript.pyannote[2053].end 12430.17284375
transcript.pyannote[2054].speaker SPEAKER_33
transcript.pyannote[2054].start 12430.89846875
transcript.pyannote[2054].end 12431.52284375
transcript.pyannote[2055].speaker SPEAKER_33
transcript.pyannote[2055].start 12431.59034375
transcript.pyannote[2055].end 12434.94846875
transcript.pyannote[2056].speaker SPEAKER_33
transcript.pyannote[2056].start 12435.06659375
transcript.pyannote[2056].end 12437.04096875
transcript.pyannote[2057].speaker SPEAKER_33
transcript.pyannote[2057].start 12437.73284375
transcript.pyannote[2057].end 12438.77909375
transcript.pyannote[2058].speaker SPEAKER_33
transcript.pyannote[2058].start 12439.58909375
transcript.pyannote[2058].end 12441.51284375
transcript.pyannote[2059].speaker SPEAKER_33
transcript.pyannote[2059].start 12441.68159375
transcript.pyannote[2059].end 12443.16659375
transcript.pyannote[2060].speaker SPEAKER_33
transcript.pyannote[2060].start 12443.62221875
transcript.pyannote[2060].end 12445.09034375
transcript.pyannote[2061].speaker SPEAKER_33
transcript.pyannote[2061].start 12446.06909375
transcript.pyannote[2061].end 12447.30096875
transcript.pyannote[2062].speaker SPEAKER_33
transcript.pyannote[2062].start 12448.43159375
transcript.pyannote[2062].end 12449.20784375
transcript.pyannote[2063].speaker SPEAKER_33
transcript.pyannote[2063].start 12449.54534375
transcript.pyannote[2063].end 12449.78159375
transcript.pyannote[2064].speaker SPEAKER_33
transcript.pyannote[2064].start 12450.49034375
transcript.pyannote[2064].end 12452.12721875
transcript.pyannote[2065].speaker SPEAKER_33
transcript.pyannote[2065].start 12452.29596875
transcript.pyannote[2065].end 12452.95409375
transcript.pyannote[2066].speaker SPEAKER_33
transcript.pyannote[2066].start 12453.54471875
transcript.pyannote[2066].end 12454.33784375
transcript.pyannote[2067].speaker SPEAKER_33
transcript.pyannote[2067].start 12454.64159375
transcript.pyannote[2067].end 12455.78909375
transcript.pyannote[2068].speaker SPEAKER_33
transcript.pyannote[2068].start 12456.21096875
transcript.pyannote[2068].end 12457.05471875
transcript.pyannote[2069].speaker SPEAKER_33
transcript.pyannote[2069].start 12458.06721875
transcript.pyannote[2069].end 12458.72534375
transcript.pyannote[2070].speaker SPEAKER_33
transcript.pyannote[2070].start 12458.87721875
transcript.pyannote[2070].end 12460.59846875
transcript.pyannote[2071].speaker SPEAKER_33
transcript.pyannote[2071].start 12461.32409375
transcript.pyannote[2071].end 12462.69096875
transcript.pyannote[2072].speaker SPEAKER_33
transcript.pyannote[2072].start 12462.84284375
transcript.pyannote[2072].end 12464.02409375
transcript.pyannote[2073].speaker SPEAKER_33
transcript.pyannote[2073].start 12464.54721875
transcript.pyannote[2073].end 12467.21346875
transcript.pyannote[2074].speaker SPEAKER_33
transcript.pyannote[2074].start 12467.38221875
transcript.pyannote[2074].end 12469.96409375
transcript.pyannote[2075].speaker SPEAKER_35
transcript.pyannote[2075].start 12469.96409375
transcript.pyannote[2075].end 12469.99784375
transcript.pyannote[2076].speaker SPEAKER_33
transcript.pyannote[2076].start 12469.99784375
transcript.pyannote[2076].end 12470.01471875
transcript.pyannote[2077].speaker SPEAKER_35
transcript.pyannote[2077].start 12470.01471875
transcript.pyannote[2077].end 12470.03159375
transcript.pyannote[2078].speaker SPEAKER_33
transcript.pyannote[2078].start 12470.26784375
transcript.pyannote[2078].end 12473.84534375
transcript.pyannote[2079].speaker SPEAKER_33
transcript.pyannote[2079].start 12474.06471875
transcript.pyannote[2079].end 12476.29221875
transcript.pyannote[2080].speaker SPEAKER_33
transcript.pyannote[2080].start 12478.01346875
transcript.pyannote[2080].end 12478.73909375
transcript.pyannote[2081].speaker SPEAKER_33
transcript.pyannote[2081].start 12479.68409375
transcript.pyannote[2081].end 12480.20721875
transcript.pyannote[2082].speaker SPEAKER_33
transcript.pyannote[2082].start 12480.59534375
transcript.pyannote[2082].end 12483.26159375
transcript.pyannote[2083].speaker SPEAKER_33
transcript.pyannote[2083].start 12483.85221875
transcript.pyannote[2083].end 12484.76346875
transcript.pyannote[2084].speaker SPEAKER_33
transcript.pyannote[2084].start 12485.20221875
transcript.pyannote[2084].end 12486.33284375
transcript.pyannote[2085].speaker SPEAKER_33
transcript.pyannote[2085].start 12486.48471875
transcript.pyannote[2085].end 12488.17221875
transcript.pyannote[2086].speaker SPEAKER_33
transcript.pyannote[2086].start 12488.22284375
transcript.pyannote[2086].end 12492.15471875
transcript.pyannote[2087].speaker SPEAKER_33
transcript.pyannote[2087].start 12492.71159375
transcript.pyannote[2087].end 12493.97721875
transcript.pyannote[2088].speaker SPEAKER_33
transcript.pyannote[2088].start 12494.87159375
transcript.pyannote[2088].end 12495.19221875
transcript.pyannote[2089].speaker SPEAKER_33
transcript.pyannote[2089].start 12496.20471875
transcript.pyannote[2089].end 12499.57971875
transcript.pyannote[2090].speaker SPEAKER_33
transcript.pyannote[2090].start 12500.03534375
transcript.pyannote[2090].end 12501.94221875
transcript.pyannote[2091].speaker SPEAKER_33
transcript.pyannote[2091].start 12502.24596875
transcript.pyannote[2091].end 12506.32971875
transcript.pyannote[2092].speaker SPEAKER_33
transcript.pyannote[2092].start 12507.12284375
transcript.pyannote[2092].end 12510.37971875
transcript.pyannote[2093].speaker SPEAKER_05
transcript.pyannote[2093].start 12510.37971875
transcript.pyannote[2093].end 12510.41346875
transcript.pyannote[2094].speaker SPEAKER_05
transcript.pyannote[2094].start 12510.49784375
transcript.pyannote[2094].end 12511.29096875
transcript.pyannote[2095].speaker SPEAKER_33
transcript.pyannote[2095].start 12511.29096875
transcript.pyannote[2095].end 12514.10909375
transcript.pyannote[2096].speaker SPEAKER_05
transcript.pyannote[2096].start 12513.26534375
transcript.pyannote[2096].end 12515.37471875
transcript.pyannote[2097].speaker SPEAKER_05
transcript.pyannote[2097].start 12516.11721875
transcript.pyannote[2097].end 12525.63471875
transcript.pyannote[2098].speaker SPEAKER_35
transcript.pyannote[2098].start 12524.58846875
transcript.pyannote[2098].end 12525.02721875
transcript.pyannote[2099].speaker SPEAKER_33
transcript.pyannote[2099].start 12525.02721875
transcript.pyannote[2099].end 12525.09471875
transcript.pyannote[2100].speaker SPEAKER_05
transcript.pyannote[2100].start 12525.97221875
transcript.pyannote[2100].end 12527.64284375
transcript.pyannote[2101].speaker SPEAKER_33
transcript.pyannote[2101].start 12527.64284375
transcript.pyannote[2101].end 12527.67659375
transcript.pyannote[2102].speaker SPEAKER_05
transcript.pyannote[2102].start 12528.08159375
transcript.pyannote[2102].end 12529.14471875
transcript.pyannote[2103].speaker SPEAKER_33
transcript.pyannote[2103].start 12529.14471875
transcript.pyannote[2103].end 12533.51534375
transcript.pyannote[2104].speaker SPEAKER_33
transcript.pyannote[2104].start 12534.29159375
transcript.pyannote[2104].end 12535.60784375
transcript.pyannote[2105].speaker SPEAKER_05
transcript.pyannote[2105].start 12536.26596875
transcript.pyannote[2105].end 12538.57784375
transcript.pyannote[2106].speaker SPEAKER_33
transcript.pyannote[2106].start 12538.56096875
transcript.pyannote[2106].end 12540.14721875
transcript.pyannote[2107].speaker SPEAKER_33
transcript.pyannote[2107].start 12540.99096875
transcript.pyannote[2107].end 12543.16784375
transcript.pyannote[2108].speaker SPEAKER_32
transcript.pyannote[2108].start 12544.97346875
transcript.pyannote[2108].end 12554.77784375
transcript.pyannote[2109].speaker SPEAKER_33
transcript.pyannote[2109].start 12553.74846875
transcript.pyannote[2109].end 12554.60909375
transcript.pyannote[2110].speaker SPEAKER_33
transcript.pyannote[2110].start 12554.67659375
transcript.pyannote[2110].end 12554.69346875
transcript.pyannote[2111].speaker SPEAKER_33
transcript.pyannote[2111].start 12554.71034375
transcript.pyannote[2111].end 12554.74409375
transcript.pyannote[2112].speaker SPEAKER_33
transcript.pyannote[2112].start 12554.77784375
transcript.pyannote[2112].end 12563.43471875
transcript.pyannote[2113].speaker SPEAKER_32
transcript.pyannote[2113].start 12563.58659375
transcript.pyannote[2113].end 12571.51784375
transcript.pyannote[2114].speaker SPEAKER_33
transcript.pyannote[2114].start 12570.45471875
transcript.pyannote[2114].end 12578.53784375
transcript.pyannote[2115].speaker SPEAKER_33
transcript.pyannote[2115].start 12578.84159375
transcript.pyannote[2115].end 12579.97221875
transcript.pyannote[2116].speaker SPEAKER_33
transcript.pyannote[2116].start 12580.25909375
transcript.pyannote[2116].end 12581.03534375
transcript.pyannote[2117].speaker SPEAKER_33
transcript.pyannote[2117].start 12581.17034375
transcript.pyannote[2117].end 12583.66784375
transcript.pyannote[2118].speaker SPEAKER_33
transcript.pyannote[2118].start 12584.51159375
transcript.pyannote[2118].end 12585.50721875
transcript.pyannote[2119].speaker SPEAKER_33
transcript.pyannote[2119].start 12586.06409375
transcript.pyannote[2119].end 12587.02596875
transcript.pyannote[2120].speaker SPEAKER_33
transcript.pyannote[2120].start 12587.07659375
transcript.pyannote[2120].end 12592.17284375
transcript.pyannote[2121].speaker SPEAKER_33
transcript.pyannote[2121].start 12592.67909375
transcript.pyannote[2121].end 12593.32034375
transcript.pyannote[2122].speaker SPEAKER_33
transcript.pyannote[2122].start 12594.43409375
transcript.pyannote[2122].end 12595.04159375
transcript.pyannote[2123].speaker SPEAKER_33
transcript.pyannote[2123].start 12595.05846875
transcript.pyannote[2123].end 12599.47971875
transcript.pyannote[2124].speaker SPEAKER_33
transcript.pyannote[2124].start 12600.28971875
transcript.pyannote[2124].end 12600.67784375
transcript.pyannote[2125].speaker SPEAKER_05
transcript.pyannote[2125].start 12601.25159375
transcript.pyannote[2125].end 12609.57096875
transcript.pyannote[2126].speaker SPEAKER_33
transcript.pyannote[2126].start 12609.57096875
transcript.pyannote[2126].end 12614.49846875
transcript.pyannote[2127].speaker SPEAKER_05
transcript.pyannote[2127].start 12614.49846875
transcript.pyannote[2127].end 12614.61659375
transcript.pyannote[2128].speaker SPEAKER_33
transcript.pyannote[2128].start 12614.61659375
transcript.pyannote[2128].end 12615.22409375
transcript.pyannote[2129].speaker SPEAKER_05
transcript.pyannote[2129].start 12614.78534375
transcript.pyannote[2129].end 12621.53534375
transcript.pyannote[2130].speaker SPEAKER_35
transcript.pyannote[2130].start 12621.41721875
transcript.pyannote[2130].end 12621.45096875
transcript.pyannote[2131].speaker SPEAKER_35
transcript.pyannote[2131].start 12621.53534375
transcript.pyannote[2131].end 12621.70409375
transcript.pyannote[2132].speaker SPEAKER_05
transcript.pyannote[2132].start 12621.70409375
transcript.pyannote[2132].end 12634.24221875
transcript.pyannote[2133].speaker SPEAKER_35
transcript.pyannote[2133].start 12621.72096875
transcript.pyannote[2133].end 12621.87284375
transcript.pyannote[2134].speaker SPEAKER_33
transcript.pyannote[2134].start 12634.17471875
transcript.pyannote[2134].end 12637.29659375
transcript.pyannote[2135].speaker SPEAKER_05
transcript.pyannote[2135].start 12634.25909375
transcript.pyannote[2135].end 12634.37721875
transcript.pyannote[2136].speaker SPEAKER_33
transcript.pyannote[2136].start 12637.90409375
transcript.pyannote[2136].end 12639.77721875
transcript.pyannote[2137].speaker SPEAKER_33
transcript.pyannote[2137].start 12640.68846875
transcript.pyannote[2137].end 12642.25784375
transcript.pyannote[2138].speaker SPEAKER_35
transcript.pyannote[2138].start 12643.01721875
transcript.pyannote[2138].end 12643.50659375
transcript.pyannote[2139].speaker SPEAKER_33
transcript.pyannote[2139].start 12643.10159375
transcript.pyannote[2139].end 12644.51909375
transcript.pyannote[2140].speaker SPEAKER_33
transcript.pyannote[2140].start 12645.29534375
transcript.pyannote[2140].end 12647.28659375
transcript.pyannote[2141].speaker SPEAKER_33
transcript.pyannote[2141].start 12647.50596875
transcript.pyannote[2141].end 12650.56034375
transcript.pyannote[2142].speaker SPEAKER_05
transcript.pyannote[2142].start 12649.69971875
transcript.pyannote[2142].end 12650.40846875
transcript.pyannote[2143].speaker SPEAKER_33
transcript.pyannote[2143].start 12650.59409375
transcript.pyannote[2143].end 12653.07471875
transcript.pyannote[2144].speaker SPEAKER_05
transcript.pyannote[2144].start 12651.58971875
transcript.pyannote[2144].end 12652.93971875
transcript.pyannote[2145].speaker SPEAKER_33
transcript.pyannote[2145].start 12653.44596875
transcript.pyannote[2145].end 12653.56409375
transcript.pyannote[2146].speaker SPEAKER_33
transcript.pyannote[2146].start 12653.76659375
transcript.pyannote[2146].end 12657.32721875
transcript.pyannote[2147].speaker SPEAKER_05
transcript.pyannote[2147].start 12657.32721875
transcript.pyannote[2147].end 12657.66471875
transcript.pyannote[2148].speaker SPEAKER_33
transcript.pyannote[2148].start 12657.66471875
transcript.pyannote[2148].end 12659.72346875
transcript.pyannote[2149].speaker SPEAKER_33
transcript.pyannote[2149].start 12660.28034375
transcript.pyannote[2149].end 12666.08534375
transcript.pyannote[2150].speaker SPEAKER_03
transcript.pyannote[2150].start 12663.03096875
transcript.pyannote[2150].end 12663.14909375
transcript.pyannote[2151].speaker SPEAKER_03
transcript.pyannote[2151].start 12663.18284375
transcript.pyannote[2151].end 12663.19971875
transcript.pyannote[2152].speaker SPEAKER_05
transcript.pyannote[2152].start 12665.20784375
transcript.pyannote[2152].end 12665.46096875
transcript.pyannote[2153].speaker SPEAKER_03
transcript.pyannote[2153].start 12665.46096875
transcript.pyannote[2153].end 12665.52846875
transcript.pyannote[2154].speaker SPEAKER_05
transcript.pyannote[2154].start 12665.52846875
transcript.pyannote[2154].end 12665.61284375
transcript.pyannote[2155].speaker SPEAKER_03
transcript.pyannote[2155].start 12665.61284375
transcript.pyannote[2155].end 12665.79846875
transcript.pyannote[2156].speaker SPEAKER_05
transcript.pyannote[2156].start 12665.79846875
transcript.pyannote[2156].end 12666.00096875
transcript.pyannote[2157].speaker SPEAKER_03
transcript.pyannote[2157].start 12666.00096875
transcript.pyannote[2157].end 12666.03471875
transcript.pyannote[2158].speaker SPEAKER_05
transcript.pyannote[2158].start 12666.03471875
transcript.pyannote[2158].end 12666.10221875
transcript.pyannote[2159].speaker SPEAKER_33
transcript.pyannote[2159].start 12666.10221875
transcript.pyannote[2159].end 12666.13596875
transcript.pyannote[2160].speaker SPEAKER_05
transcript.pyannote[2160].start 12666.13596875
transcript.pyannote[2160].end 12667.78971875
transcript.pyannote[2161].speaker SPEAKER_03
transcript.pyannote[2161].start 12667.90784375
transcript.pyannote[2161].end 12673.94909375
transcript.pyannote[2162].speaker SPEAKER_05
transcript.pyannote[2162].start 12673.27409375
transcript.pyannote[2162].end 12673.35846875
transcript.pyannote[2163].speaker SPEAKER_33
transcript.pyannote[2163].start 12673.35846875
transcript.pyannote[2163].end 12674.62409375
transcript.pyannote[2164].speaker SPEAKER_33
transcript.pyannote[2164].start 12674.80971875
transcript.pyannote[2164].end 12677.93159375
transcript.pyannote[2165].speaker SPEAKER_33
transcript.pyannote[2165].start 12678.16784375
transcript.pyannote[2165].end 12680.02409375
transcript.pyannote[2166].speaker SPEAKER_33
transcript.pyannote[2166].start 12680.39534375
transcript.pyannote[2166].end 12680.80034375
transcript.pyannote[2167].speaker SPEAKER_33
transcript.pyannote[2167].start 12681.39096875
transcript.pyannote[2167].end 12681.62721875
transcript.pyannote[2168].speaker SPEAKER_33
transcript.pyannote[2168].start 12682.38659375
transcript.pyannote[2168].end 12685.00221875
transcript.pyannote[2169].speaker SPEAKER_33
transcript.pyannote[2169].start 12685.20471875
transcript.pyannote[2169].end 12686.67284375
transcript.pyannote[2170].speaker SPEAKER_33
transcript.pyannote[2170].start 12687.70221875
transcript.pyannote[2170].end 12688.79909375
transcript.pyannote[2171].speaker SPEAKER_33
transcript.pyannote[2171].start 12689.33909375
transcript.pyannote[2171].end 12690.35159375
transcript.pyannote[2172].speaker SPEAKER_05
transcript.pyannote[2172].start 12690.53721875
transcript.pyannote[2172].end 12691.34721875
transcript.pyannote[2173].speaker SPEAKER_33
transcript.pyannote[2173].start 12692.00534375
transcript.pyannote[2173].end 12693.96284375
transcript.pyannote[2174].speaker SPEAKER_05
transcript.pyannote[2174].start 12693.96284375
transcript.pyannote[2174].end 12694.08096875
transcript.pyannote[2175].speaker SPEAKER_33
transcript.pyannote[2175].start 12694.08096875
transcript.pyannote[2175].end 12694.19909375
transcript.pyannote[2176].speaker SPEAKER_05
transcript.pyannote[2176].start 12694.19909375
transcript.pyannote[2176].end 12694.26659375
transcript.pyannote[2177].speaker SPEAKER_05
transcript.pyannote[2177].start 12694.67159375
transcript.pyannote[2177].end 12704.03721875
transcript.pyannote[2178].speaker SPEAKER_33
transcript.pyannote[2178].start 12704.03721875
transcript.pyannote[2178].end 12704.07096875
transcript.pyannote[2179].speaker SPEAKER_05
transcript.pyannote[2179].start 12704.07096875
transcript.pyannote[2179].end 12704.34096875
transcript.pyannote[2180].speaker SPEAKER_05
transcript.pyannote[2180].start 12705.28596875
transcript.pyannote[2180].end 12710.88846875
transcript.pyannote[2181].speaker SPEAKER_33
transcript.pyannote[2181].start 12710.97284375
transcript.pyannote[2181].end 12712.91346875
transcript.pyannote[2182].speaker SPEAKER_33
transcript.pyannote[2182].start 12713.21721875
transcript.pyannote[2182].end 12716.96346875
transcript.pyannote[2183].speaker SPEAKER_05
transcript.pyannote[2183].start 12713.25096875
transcript.pyannote[2183].end 12713.28471875
transcript.pyannote[2184].speaker SPEAKER_05
transcript.pyannote[2184].start 12713.30159375
transcript.pyannote[2184].end 12714.39846875
transcript.pyannote[2185].speaker SPEAKER_05
transcript.pyannote[2185].start 12716.96346875
transcript.pyannote[2185].end 12726.43034375
transcript.pyannote[2186].speaker SPEAKER_33
transcript.pyannote[2186].start 12725.90721875
transcript.pyannote[2186].end 12732.74159375
transcript.pyannote[2187].speaker SPEAKER_05
transcript.pyannote[2187].start 12726.98721875
transcript.pyannote[2187].end 12727.67909375
transcript.pyannote[2188].speaker SPEAKER_05
transcript.pyannote[2188].start 12727.98284375
transcript.pyannote[2188].end 12728.01659375
transcript.pyannote[2189].speaker SPEAKER_33
transcript.pyannote[2189].start 12733.29846875
transcript.pyannote[2189].end 12735.18846875
transcript.pyannote[2190].speaker SPEAKER_33
transcript.pyannote[2190].start 12736.09971875
transcript.pyannote[2190].end 12737.14596875
transcript.pyannote[2191].speaker SPEAKER_33
transcript.pyannote[2191].start 12738.05721875
transcript.pyannote[2191].end 12741.73596875
transcript.pyannote[2192].speaker SPEAKER_33
transcript.pyannote[2192].start 12742.00596875
transcript.pyannote[2192].end 12747.11909375
transcript.pyannote[2193].speaker SPEAKER_05
transcript.pyannote[2193].start 12745.49909375
transcript.pyannote[2193].end 12750.17346875
transcript.pyannote[2194].speaker SPEAKER_33
transcript.pyannote[2194].start 12749.32971875
transcript.pyannote[2194].end 12751.72596875
transcript.pyannote[2195].speaker SPEAKER_05
transcript.pyannote[2195].start 12750.74721875
transcript.pyannote[2195].end 12772.12784375
transcript.pyannote[2196].speaker SPEAKER_33
transcript.pyannote[2196].start 12757.34534375
transcript.pyannote[2196].end 12759.38721875
transcript.pyannote[2197].speaker SPEAKER_33
transcript.pyannote[2197].start 12762.28971875
transcript.pyannote[2197].end 12762.37409375
transcript.pyannote[2198].speaker SPEAKER_33
transcript.pyannote[2198].start 12770.01846875
transcript.pyannote[2198].end 12770.99721875
transcript.pyannote[2199].speaker SPEAKER_33
transcript.pyannote[2199].start 12771.25034375
transcript.pyannote[2199].end 12771.28409375
transcript.pyannote[2200].speaker SPEAKER_05
transcript.pyannote[2200].start 12772.75221875
transcript.pyannote[2200].end 12784.93596875
transcript.pyannote[2201].speaker SPEAKER_33
transcript.pyannote[2201].start 12783.83909375
transcript.pyannote[2201].end 12784.02471875
transcript.pyannote[2202].speaker SPEAKER_04
transcript.pyannote[2202].start 12784.02471875
transcript.pyannote[2202].end 12784.05846875
transcript.pyannote[2203].speaker SPEAKER_33
transcript.pyannote[2203].start 12784.05846875
transcript.pyannote[2203].end 12784.83471875
transcript.pyannote[2204].speaker SPEAKER_05
transcript.pyannote[2204].start 12785.37471875
transcript.pyannote[2204].end 12786.52221875
transcript.pyannote[2205].speaker SPEAKER_33
transcript.pyannote[2205].start 12786.62346875
transcript.pyannote[2205].end 12786.64034375
transcript.pyannote[2206].speaker SPEAKER_04
transcript.pyannote[2206].start 12786.64034375
transcript.pyannote[2206].end 12789.03659375
transcript.pyannote[2207].speaker SPEAKER_33
transcript.pyannote[2207].start 12787.83846875
transcript.pyannote[2207].end 12788.78346875
transcript.pyannote[2208].speaker SPEAKER_33
transcript.pyannote[2208].start 12789.03659375
transcript.pyannote[2208].end 12790.74096875
transcript.pyannote[2209].speaker SPEAKER_04
transcript.pyannote[2209].start 12789.86346875
transcript.pyannote[2209].end 12791.21346875
transcript.pyannote[2210].speaker SPEAKER_33
transcript.pyannote[2210].start 12791.21346875
transcript.pyannote[2210].end 12791.23034375
transcript.pyannote[2211].speaker SPEAKER_04
transcript.pyannote[2211].start 12791.78721875
transcript.pyannote[2211].end 12793.45784375
transcript.pyannote[2212].speaker SPEAKER_33
transcript.pyannote[2212].start 12791.82096875
transcript.pyannote[2212].end 12795.43221875
transcript.pyannote[2213].speaker SPEAKER_04
transcript.pyannote[2213].start 12794.14971875
transcript.pyannote[2213].end 12802.51971875
transcript.pyannote[2214].speaker SPEAKER_33
transcript.pyannote[2214].start 12801.20346875
transcript.pyannote[2214].end 12802.01346875
transcript.pyannote[2215].speaker SPEAKER_35
transcript.pyannote[2215].start 12802.01346875
transcript.pyannote[2215].end 12802.03034375
transcript.pyannote[2216].speaker SPEAKER_26
transcript.pyannote[2216].start 12802.03034375
transcript.pyannote[2216].end 12802.04721875
transcript.pyannote[2217].speaker SPEAKER_05
transcript.pyannote[2217].start 12802.51971875
transcript.pyannote[2217].end 12806.62034375
transcript.pyannote[2218].speaker SPEAKER_04
transcript.pyannote[2218].start 12803.00909375
transcript.pyannote[2218].end 12803.44784375
transcript.pyannote[2219].speaker SPEAKER_05
transcript.pyannote[2219].start 12807.64971875
transcript.pyannote[2219].end 12807.80159375
transcript.pyannote[2220].speaker SPEAKER_26
transcript.pyannote[2220].start 12809.13471875
transcript.pyannote[2220].end 12810.60284375
transcript.pyannote[2221].speaker SPEAKER_26
transcript.pyannote[2221].start 12811.88534375
transcript.pyannote[2221].end 12813.75846875
transcript.pyannote[2222].speaker SPEAKER_01
transcript.pyannote[2222].start 12827.25846875
transcript.pyannote[2222].end 12830.26221875
transcript.pyannote[2223].speaker SPEAKER_01
transcript.pyannote[2223].start 12830.76846875
transcript.pyannote[2223].end 12831.46034375
transcript.pyannote[2224].speaker SPEAKER_25
transcript.pyannote[2224].start 12831.56159375
transcript.pyannote[2224].end 12832.57409375
transcript.pyannote[2225].speaker SPEAKER_07
transcript.pyannote[2225].start 12837.50159375
transcript.pyannote[2225].end 12838.17659375
transcript.pyannote[2226].speaker SPEAKER_19
transcript.pyannote[2226].start 12840.40409375
transcript.pyannote[2226].end 12843.74534375
transcript.pyannote[2227].speaker SPEAKER_19
transcript.pyannote[2227].start 12844.23471875
transcript.pyannote[2227].end 12848.06534375
transcript.pyannote[2228].speaker SPEAKER_19
transcript.pyannote[2228].start 12848.80784375
transcript.pyannote[2228].end 12851.01846875
transcript.pyannote[2229].speaker SPEAKER_35
transcript.pyannote[2229].start 12851.37284375
transcript.pyannote[2229].end 12851.47409375
transcript.pyannote[2230].speaker SPEAKER_19
transcript.pyannote[2230].start 12851.47409375
transcript.pyannote[2230].end 12852.38534375
transcript.pyannote[2231].speaker SPEAKER_35
transcript.pyannote[2231].start 12851.49096875
transcript.pyannote[2231].end 12851.54159375
transcript.pyannote[2232].speaker SPEAKER_19
transcript.pyannote[2232].start 12852.60471875
transcript.pyannote[2232].end 12853.44846875
transcript.pyannote[2233].speaker SPEAKER_35
transcript.pyannote[2233].start 12853.49909375
transcript.pyannote[2233].end 12853.80284375
transcript.pyannote[2234].speaker SPEAKER_19
transcript.pyannote[2234].start 12854.17409375
transcript.pyannote[2234].end 12854.88284375
transcript.pyannote[2235].speaker SPEAKER_19
transcript.pyannote[2235].start 12855.40596875
transcript.pyannote[2235].end 12858.91596875
transcript.pyannote[2236].speaker SPEAKER_19
transcript.pyannote[2236].start 12860.04659375
transcript.pyannote[2236].end 12861.61596875
transcript.pyannote[2237].speaker SPEAKER_19
transcript.pyannote[2237].start 12862.18971875
transcript.pyannote[2237].end 12866.47596875
transcript.pyannote[2238].speaker SPEAKER_19
transcript.pyannote[2238].start 12867.04971875
transcript.pyannote[2238].end 12868.68659375
transcript.pyannote[2239].speaker SPEAKER_19
transcript.pyannote[2239].start 12869.27721875
transcript.pyannote[2239].end 12870.13784375
transcript.pyannote[2240].speaker SPEAKER_19
transcript.pyannote[2240].start 12870.88034375
transcript.pyannote[2240].end 12874.66034375
transcript.pyannote[2241].speaker SPEAKER_19
transcript.pyannote[2241].start 12875.26784375
transcript.pyannote[2241].end 12876.66846875
transcript.pyannote[2242].speaker SPEAKER_19
transcript.pyannote[2242].start 12877.03971875
transcript.pyannote[2242].end 12877.74846875
transcript.pyannote[2243].speaker SPEAKER_19
transcript.pyannote[2243].start 12878.32221875
transcript.pyannote[2243].end 12880.53284375
transcript.pyannote[2244].speaker SPEAKER_19
transcript.pyannote[2244].start 12882.47346875
transcript.pyannote[2244].end 12887.23221875
transcript.pyannote[2245].speaker SPEAKER_19
transcript.pyannote[2245].start 12887.67096875
transcript.pyannote[2245].end 12891.70409375
transcript.pyannote[2246].speaker SPEAKER_19
transcript.pyannote[2246].start 12892.46346875
transcript.pyannote[2246].end 12894.85971875
transcript.pyannote[2247].speaker SPEAKER_19
transcript.pyannote[2247].start 12895.68659375
transcript.pyannote[2247].end 12895.95659375
transcript.pyannote[2248].speaker SPEAKER_19
transcript.pyannote[2248].start 12896.64846875
transcript.pyannote[2248].end 12902.23409375
transcript.pyannote[2249].speaker SPEAKER_19
transcript.pyannote[2249].start 12902.82471875
transcript.pyannote[2249].end 12903.78659375
transcript.pyannote[2250].speaker SPEAKER_19
transcript.pyannote[2250].start 12904.10721875
transcript.pyannote[2250].end 12904.49534375
transcript.pyannote[2251].speaker SPEAKER_19
transcript.pyannote[2251].start 12905.15346875
transcript.pyannote[2251].end 12906.53721875
transcript.pyannote[2252].speaker SPEAKER_19
transcript.pyannote[2252].start 12907.26284375
transcript.pyannote[2252].end 12913.59096875
transcript.pyannote[2253].speaker SPEAKER_19
transcript.pyannote[2253].start 12914.09721875
transcript.pyannote[2253].end 12916.29096875
transcript.pyannote[2254].speaker SPEAKER_05
transcript.pyannote[2254].start 12916.45971875
transcript.pyannote[2254].end 12918.01221875
transcript.pyannote[2255].speaker SPEAKER_19
transcript.pyannote[2255].start 12920.07096875
transcript.pyannote[2255].end 12922.09596875
transcript.pyannote[2256].speaker SPEAKER_03
transcript.pyannote[2256].start 12923.27721875
transcript.pyannote[2256].end 12925.01534375
transcript.pyannote[2257].speaker SPEAKER_19
transcript.pyannote[2257].start 12925.47096875
transcript.pyannote[2257].end 12926.73659375
transcript.pyannote[2258].speaker SPEAKER_03
transcript.pyannote[2258].start 12926.90534375
transcript.pyannote[2258].end 12927.32721875
transcript.pyannote[2259].speaker SPEAKER_19
transcript.pyannote[2259].start 12927.91784375
transcript.pyannote[2259].end 12928.20471875
transcript.pyannote[2260].speaker SPEAKER_03
transcript.pyannote[2260].start 12928.35659375
transcript.pyannote[2260].end 12928.67721875
transcript.pyannote[2261].speaker SPEAKER_19
transcript.pyannote[2261].start 12928.67721875
transcript.pyannote[2261].end 12928.71096875
transcript.pyannote[2262].speaker SPEAKER_19
transcript.pyannote[2262].start 12928.87971875
transcript.pyannote[2262].end 12930.02721875
transcript.pyannote[2263].speaker SPEAKER_03
transcript.pyannote[2263].start 12929.90909375
transcript.pyannote[2263].end 12930.39846875
transcript.pyannote[2264].speaker SPEAKER_19
transcript.pyannote[2264].start 12931.73159375
transcript.pyannote[2264].end 12932.01846875
transcript.pyannote[2265].speaker SPEAKER_19
transcript.pyannote[2265].start 12932.77784375
transcript.pyannote[2265].end 12937.19909375
transcript.pyannote[2266].speaker SPEAKER_19
transcript.pyannote[2266].start 12938.75159375
transcript.pyannote[2266].end 12941.31659375
transcript.pyannote[2267].speaker SPEAKER_07
transcript.pyannote[2267].start 12942.21096875
transcript.pyannote[2267].end 12942.24471875
transcript.pyannote[2268].speaker SPEAKER_35
transcript.pyannote[2268].start 12942.24471875
transcript.pyannote[2268].end 12943.96596875
transcript.pyannote[2269].speaker SPEAKER_07
transcript.pyannote[2269].start 12943.96596875
transcript.pyannote[2269].end 12945.82221875
transcript.pyannote[2270].speaker SPEAKER_19
transcript.pyannote[2270].start 12945.99096875
transcript.pyannote[2270].end 12950.68221875
transcript.pyannote[2271].speaker SPEAKER_05
transcript.pyannote[2271].start 12949.06221875
transcript.pyannote[2271].end 12949.26471875
transcript.pyannote[2272].speaker SPEAKER_35
transcript.pyannote[2272].start 12951.88034375
transcript.pyannote[2272].end 12952.70721875
transcript.pyannote[2273].speaker SPEAKER_19
transcript.pyannote[2273].start 12952.72409375
transcript.pyannote[2273].end 12957.51659375
transcript.pyannote[2274].speaker SPEAKER_19
transcript.pyannote[2274].start 12957.85409375
transcript.pyannote[2274].end 12960.53721875
transcript.pyannote[2275].speaker SPEAKER_19
transcript.pyannote[2275].start 12961.09409375
transcript.pyannote[2275].end 12962.10659375
transcript.pyannote[2276].speaker SPEAKER_19
transcript.pyannote[2276].start 12962.54534375
transcript.pyannote[2276].end 12967.42221875
transcript.pyannote[2277].speaker SPEAKER_19
transcript.pyannote[2277].start 12968.51909375
transcript.pyannote[2277].end 12970.05471875
transcript.pyannote[2278].speaker SPEAKER_03
transcript.pyannote[2278].start 12970.93221875
transcript.pyannote[2278].end 12975.03284375
transcript.pyannote[2279].speaker SPEAKER_19
transcript.pyannote[2279].start 12973.41284375
transcript.pyannote[2279].end 12977.61471875
transcript.pyannote[2280].speaker SPEAKER_05
transcript.pyannote[2280].start 12975.03284375
transcript.pyannote[2280].end 12975.55596875
transcript.pyannote[2281].speaker SPEAKER_03
transcript.pyannote[2281].start 12975.55596875
transcript.pyannote[2281].end 12975.69096875
transcript.pyannote[2282].speaker SPEAKER_05
transcript.pyannote[2282].start 12977.61471875
transcript.pyannote[2282].end 12999.61971875
transcript.pyannote[2283].speaker SPEAKER_05
transcript.pyannote[2283].start 13000.39596875
transcript.pyannote[2283].end 13000.41284375
transcript.pyannote[2284].speaker SPEAKER_20
transcript.pyannote[2284].start 13000.41284375
transcript.pyannote[2284].end 13004.15909375
transcript.pyannote[2285].speaker SPEAKER_05
transcript.pyannote[2285].start 13004.54721875
transcript.pyannote[2285].end 13005.18846875
transcript.pyannote[2286].speaker SPEAKER_20
transcript.pyannote[2286].start 13005.18846875
transcript.pyannote[2286].end 13006.94346875
transcript.pyannote[2287].speaker SPEAKER_20
transcript.pyannote[2287].start 13008.19221875
transcript.pyannote[2287].end 13009.91346875
transcript.pyannote[2288].speaker SPEAKER_05
transcript.pyannote[2288].start 13010.23409375
transcript.pyannote[2288].end 13012.17471875
transcript.pyannote[2289].speaker SPEAKER_20
transcript.pyannote[2289].start 13012.17471875
transcript.pyannote[2289].end 13014.43596875
transcript.pyannote[2290].speaker SPEAKER_05
transcript.pyannote[2290].start 13013.25471875
transcript.pyannote[2290].end 13024.96596875
transcript.pyannote[2291].speaker SPEAKER_20
transcript.pyannote[2291].start 13024.96596875
transcript.pyannote[2291].end 13027.96971875
transcript.pyannote[2292].speaker SPEAKER_20
transcript.pyannote[2292].start 13030.18034375
transcript.pyannote[2292].end 13033.31909375
transcript.pyannote[2293].speaker SPEAKER_05
transcript.pyannote[2293].start 13033.52159375
transcript.pyannote[2293].end 13045.06409375
transcript.pyannote[2294].speaker SPEAKER_20
transcript.pyannote[2294].start 13034.51721875
transcript.pyannote[2294].end 13036.23846875
transcript.pyannote[2295].speaker SPEAKER_20
transcript.pyannote[2295].start 13041.89159375
transcript.pyannote[2295].end 13045.78971875
transcript.pyannote[2296].speaker SPEAKER_05
transcript.pyannote[2296].start 13045.78971875
transcript.pyannote[2296].end 13045.94159375
transcript.pyannote[2297].speaker SPEAKER_35
transcript.pyannote[2297].start 13045.94159375
transcript.pyannote[2297].end 13045.95846875
transcript.pyannote[2298].speaker SPEAKER_05
transcript.pyannote[2298].start 13045.95846875
transcript.pyannote[2298].end 13045.97534375
transcript.pyannote[2299].speaker SPEAKER_35
transcript.pyannote[2299].start 13045.97534375
transcript.pyannote[2299].end 13045.99221875
transcript.pyannote[2300].speaker SPEAKER_20
transcript.pyannote[2300].start 13046.07659375
transcript.pyannote[2300].end 13049.82284375
transcript.pyannote[2301].speaker SPEAKER_20
transcript.pyannote[2301].start 13050.17721875
transcript.pyannote[2301].end 13051.56096875
transcript.pyannote[2302].speaker SPEAKER_20
transcript.pyannote[2302].start 13053.09659375
transcript.pyannote[2302].end 13054.41284375
transcript.pyannote[2303].speaker SPEAKER_20
transcript.pyannote[2303].start 13055.03721875
transcript.pyannote[2303].end 13056.75846875
transcript.pyannote[2304].speaker SPEAKER_20
transcript.pyannote[2304].start 13057.16346875
transcript.pyannote[2304].end 13058.47971875
transcript.pyannote[2305].speaker SPEAKER_20
transcript.pyannote[2305].start 13058.85096875
transcript.pyannote[2305].end 13060.40346875
transcript.pyannote[2306].speaker SPEAKER_20
transcript.pyannote[2306].start 13060.97721875
transcript.pyannote[2306].end 13062.20909375
transcript.pyannote[2307].speaker SPEAKER_20
transcript.pyannote[2307].start 13063.42409375
transcript.pyannote[2307].end 13066.36034375
transcript.pyannote[2308].speaker SPEAKER_20
transcript.pyannote[2308].start 13067.08596875
transcript.pyannote[2308].end 13068.18284375
transcript.pyannote[2309].speaker SPEAKER_20
transcript.pyannote[2309].start 13068.72284375
transcript.pyannote[2309].end 13069.92096875
transcript.pyannote[2310].speaker SPEAKER_20
transcript.pyannote[2310].start 13071.69284375
transcript.pyannote[2310].end 13072.99221875
transcript.pyannote[2311].speaker SPEAKER_20
transcript.pyannote[2311].start 13073.75159375
transcript.pyannote[2311].end 13075.28721875
transcript.pyannote[2312].speaker SPEAKER_20
transcript.pyannote[2312].start 13075.86096875
transcript.pyannote[2312].end 13077.26159375
transcript.pyannote[2313].speaker SPEAKER_05
transcript.pyannote[2313].start 13078.69596875
transcript.pyannote[2313].end 13079.25284375
transcript.pyannote[2314].speaker SPEAKER_05
transcript.pyannote[2314].start 13079.53971875
transcript.pyannote[2314].end 13080.77159375
transcript.pyannote[2315].speaker SPEAKER_20
transcript.pyannote[2315].start 13082.05409375
transcript.pyannote[2315].end 13083.99471875
transcript.pyannote[2316].speaker SPEAKER_20
transcript.pyannote[2316].start 13084.51784375
transcript.pyannote[2316].end 13086.23909375
transcript.pyannote[2317].speaker SPEAKER_20
transcript.pyannote[2317].start 13086.40784375
transcript.pyannote[2317].end 13087.69034375
transcript.pyannote[2318].speaker SPEAKER_20
transcript.pyannote[2318].start 13088.60159375
transcript.pyannote[2318].end 13090.27221875
transcript.pyannote[2319].speaker SPEAKER_20
transcript.pyannote[2319].start 13091.06534375
transcript.pyannote[2319].end 13093.59659375
transcript.pyannote[2320].speaker SPEAKER_20
transcript.pyannote[2320].start 13094.79471875
transcript.pyannote[2320].end 13096.27971875
transcript.pyannote[2321].speaker SPEAKER_20
transcript.pyannote[2321].start 13097.96721875
transcript.pyannote[2321].end 13099.65471875
transcript.pyannote[2322].speaker SPEAKER_20
transcript.pyannote[2322].start 13099.99221875
transcript.pyannote[2322].end 13101.71346875
transcript.pyannote[2323].speaker SPEAKER_20
transcript.pyannote[2323].start 13106.26971875
transcript.pyannote[2323].end 13107.63659375
transcript.pyannote[2324].speaker SPEAKER_20
transcript.pyannote[2324].start 13107.90659375
transcript.pyannote[2324].end 13110.40409375
transcript.pyannote[2325].speaker SPEAKER_20
transcript.pyannote[2325].start 13112.86784375
transcript.pyannote[2325].end 13114.09971875
transcript.pyannote[2326].speaker SPEAKER_20
transcript.pyannote[2326].start 13115.75346875
transcript.pyannote[2326].end 13116.73221875
transcript.pyannote[2327].speaker SPEAKER_20
transcript.pyannote[2327].start 13117.52534375
transcript.pyannote[2327].end 13119.43221875
transcript.pyannote[2328].speaker SPEAKER_20
transcript.pyannote[2328].start 13120.05659375
transcript.pyannote[2328].end 13122.23346875
transcript.pyannote[2329].speaker SPEAKER_20
transcript.pyannote[2329].start 13123.11096875
transcript.pyannote[2329].end 13123.65096875
transcript.pyannote[2330].speaker SPEAKER_20
transcript.pyannote[2330].start 13124.30909375
transcript.pyannote[2330].end 13125.20346875
transcript.pyannote[2331].speaker SPEAKER_20
transcript.pyannote[2331].start 13125.97971875
transcript.pyannote[2331].end 13127.48159375
transcript.pyannote[2332].speaker SPEAKER_20
transcript.pyannote[2332].start 13128.25784375
transcript.pyannote[2332].end 13129.11846875
transcript.pyannote[2333].speaker SPEAKER_20
transcript.pyannote[2333].start 13129.91159375
transcript.pyannote[2333].end 13130.53596875
transcript.pyannote[2334].speaker SPEAKER_20
transcript.pyannote[2334].start 13131.09284375
transcript.pyannote[2334].end 13131.68346875
transcript.pyannote[2335].speaker SPEAKER_20
transcript.pyannote[2335].start 13131.76784375
transcript.pyannote[2335].end 13137.50534375
transcript.pyannote[2336].speaker SPEAKER_20
transcript.pyannote[2336].start 13138.56846875
transcript.pyannote[2336].end 13139.93534375
transcript.pyannote[2337].speaker SPEAKER_20
transcript.pyannote[2337].start 13140.52596875
transcript.pyannote[2337].end 13141.85909375
transcript.pyannote[2338].speaker SPEAKER_20
transcript.pyannote[2338].start 13142.23034375
transcript.pyannote[2338].end 13144.06971875
transcript.pyannote[2339].speaker SPEAKER_20
transcript.pyannote[2339].start 13144.84596875
transcript.pyannote[2339].end 13146.46596875
transcript.pyannote[2340].speaker SPEAKER_20
transcript.pyannote[2340].start 13147.27596875
transcript.pyannote[2340].end 13148.62596875
transcript.pyannote[2341].speaker SPEAKER_20
transcript.pyannote[2341].start 13149.70596875
transcript.pyannote[2341].end 13154.22846875
transcript.pyannote[2342].speaker SPEAKER_20
transcript.pyannote[2342].start 13154.66721875
transcript.pyannote[2342].end 13157.29971875
transcript.pyannote[2343].speaker SPEAKER_20
transcript.pyannote[2343].start 13158.14346875
transcript.pyannote[2343].end 13159.51034375
transcript.pyannote[2344].speaker SPEAKER_05
transcript.pyannote[2344].start 13160.11784375
transcript.pyannote[2344].end 13164.10034375
transcript.pyannote[2345].speaker SPEAKER_05
transcript.pyannote[2345].start 13164.57284375
transcript.pyannote[2345].end 13166.09159375
transcript.pyannote[2346].speaker SPEAKER_20
transcript.pyannote[2346].start 13166.09159375
transcript.pyannote[2346].end 13166.10846875
transcript.pyannote[2347].speaker SPEAKER_20
transcript.pyannote[2347].start 13167.05346875
transcript.pyannote[2347].end 13168.45409375
transcript.pyannote[2348].speaker SPEAKER_20
transcript.pyannote[2348].start 13168.69034375
transcript.pyannote[2348].end 13170.31034375
transcript.pyannote[2349].speaker SPEAKER_20
transcript.pyannote[2349].start 13171.55909375
transcript.pyannote[2349].end 13177.49909375
transcript.pyannote[2350].speaker SPEAKER_20
transcript.pyannote[2350].start 13177.87034375
transcript.pyannote[2350].end 13181.41409375
transcript.pyannote[2351].speaker SPEAKER_20
transcript.pyannote[2351].start 13182.39284375
transcript.pyannote[2351].end 13183.03409375
transcript.pyannote[2352].speaker SPEAKER_20
transcript.pyannote[2352].start 13184.09721875
transcript.pyannote[2352].end 13186.49346875
transcript.pyannote[2353].speaker SPEAKER_20
transcript.pyannote[2353].start 13187.32034375
transcript.pyannote[2353].end 13188.80534375
transcript.pyannote[2354].speaker SPEAKER_20
transcript.pyannote[2354].start 13189.34534375
transcript.pyannote[2354].end 13192.12971875
transcript.pyannote[2355].speaker SPEAKER_20
transcript.pyannote[2355].start 13193.09159375
transcript.pyannote[2355].end 13194.45846875
transcript.pyannote[2356].speaker SPEAKER_20
transcript.pyannote[2356].start 13195.60596875
transcript.pyannote[2356].end 13197.68159375
transcript.pyannote[2357].speaker SPEAKER_20
transcript.pyannote[2357].start 13197.96846875
transcript.pyannote[2357].end 13200.26346875
transcript.pyannote[2358].speaker SPEAKER_20
transcript.pyannote[2358].start 13200.85409375
transcript.pyannote[2358].end 13201.98471875
transcript.pyannote[2359].speaker SPEAKER_20
transcript.pyannote[2359].start 13202.50784375
transcript.pyannote[2359].end 13205.03909375
transcript.pyannote[2360].speaker SPEAKER_20
transcript.pyannote[2360].start 13205.37659375
transcript.pyannote[2360].end 13206.96284375
transcript.pyannote[2361].speaker SPEAKER_20
transcript.pyannote[2361].start 13207.38471875
transcript.pyannote[2361].end 13208.36346875
transcript.pyannote[2362].speaker SPEAKER_20
transcript.pyannote[2362].start 13208.93721875
transcript.pyannote[2362].end 13210.01721875
transcript.pyannote[2363].speaker SPEAKER_20
transcript.pyannote[2363].start 13210.40534375
transcript.pyannote[2363].end 13210.82721875
transcript.pyannote[2364].speaker SPEAKER_20
transcript.pyannote[2364].start 13211.56971875
transcript.pyannote[2364].end 13215.13034375
transcript.pyannote[2365].speaker SPEAKER_20
transcript.pyannote[2365].start 13216.68284375
transcript.pyannote[2365].end 13217.29034375
transcript.pyannote[2366].speaker SPEAKER_20
transcript.pyannote[2366].start 13218.82596875
transcript.pyannote[2366].end 13220.17596875
transcript.pyannote[2367].speaker SPEAKER_20
transcript.pyannote[2367].start 13221.17159375
transcript.pyannote[2367].end 13222.67346875
transcript.pyannote[2368].speaker SPEAKER_20
transcript.pyannote[2368].start 13224.25971875
transcript.pyannote[2368].end 13227.22971875
transcript.pyannote[2369].speaker SPEAKER_20
transcript.pyannote[2369].start 13227.87096875
transcript.pyannote[2369].end 13229.81159375
transcript.pyannote[2370].speaker SPEAKER_20
transcript.pyannote[2370].start 13230.25034375
transcript.pyannote[2370].end 13232.10659375
transcript.pyannote[2371].speaker SPEAKER_20
transcript.pyannote[2371].start 13232.34284375
transcript.pyannote[2371].end 13236.93284375
transcript.pyannote[2372].speaker SPEAKER_20
transcript.pyannote[2372].start 13238.90721875
transcript.pyannote[2372].end 13243.75034375
transcript.pyannote[2373].speaker SPEAKER_20
transcript.pyannote[2373].start 13244.62784375
transcript.pyannote[2373].end 13249.03221875
transcript.pyannote[2374].speaker SPEAKER_20
transcript.pyannote[2374].start 13249.79159375
transcript.pyannote[2374].end 13253.45346875
transcript.pyannote[2375].speaker SPEAKER_20
transcript.pyannote[2375].start 13254.38159375
transcript.pyannote[2375].end 13256.06909375
transcript.pyannote[2376].speaker SPEAKER_20
transcript.pyannote[2376].start 13256.32221875
transcript.pyannote[2376].end 13258.33034375
transcript.pyannote[2377].speaker SPEAKER_20
transcript.pyannote[2377].start 13262.71784375
transcript.pyannote[2377].end 13265.28284375
transcript.pyannote[2378].speaker SPEAKER_20
transcript.pyannote[2378].start 13265.94096875
transcript.pyannote[2378].end 13268.28659375
transcript.pyannote[2379].speaker SPEAKER_20
transcript.pyannote[2379].start 13268.59034375
transcript.pyannote[2379].end 13270.12596875
transcript.pyannote[2380].speaker SPEAKER_20
transcript.pyannote[2380].start 13271.02034375
transcript.pyannote[2380].end 13273.09596875
transcript.pyannote[2381].speaker SPEAKER_20
transcript.pyannote[2381].start 13273.41659375
transcript.pyannote[2381].end 13277.16284375
transcript.pyannote[2382].speaker SPEAKER_20
transcript.pyannote[2382].start 13277.63534375
transcript.pyannote[2382].end 13280.45346875
transcript.pyannote[2383].speaker SPEAKER_20
transcript.pyannote[2383].start 13281.02721875
transcript.pyannote[2383].end 13282.64721875
transcript.pyannote[2384].speaker SPEAKER_20
transcript.pyannote[2384].start 13284.94221875
transcript.pyannote[2384].end 13290.88221875
transcript.pyannote[2385].speaker SPEAKER_20
transcript.pyannote[2385].start 13291.52346875
transcript.pyannote[2385].end 13292.08034375
transcript.pyannote[2386].speaker SPEAKER_20
transcript.pyannote[2386].start 13292.63721875
transcript.pyannote[2386].end 13293.75096875
transcript.pyannote[2387].speaker SPEAKER_20
transcript.pyannote[2387].start 13294.32471875
transcript.pyannote[2387].end 13295.79284375
transcript.pyannote[2388].speaker SPEAKER_20
transcript.pyannote[2388].start 13296.09659375
transcript.pyannote[2388].end 13297.44659375
transcript.pyannote[2389].speaker SPEAKER_20
transcript.pyannote[2389].start 13297.78409375
transcript.pyannote[2389].end 13301.42909375
transcript.pyannote[2390].speaker SPEAKER_20
transcript.pyannote[2390].start 13302.23909375
transcript.pyannote[2390].end 13306.03596875
transcript.pyannote[2391].speaker SPEAKER_20
transcript.pyannote[2391].start 13306.32284375
transcript.pyannote[2391].end 13310.38971875
transcript.pyannote[2392].speaker SPEAKER_20
transcript.pyannote[2392].start 13311.03096875
transcript.pyannote[2392].end 13311.68909375
transcript.pyannote[2393].speaker SPEAKER_20
transcript.pyannote[2393].start 13311.82409375
transcript.pyannote[2393].end 13314.23721875
transcript.pyannote[2394].speaker SPEAKER_20
transcript.pyannote[2394].start 13314.60846875
transcript.pyannote[2394].end 13315.94159375
transcript.pyannote[2395].speaker SPEAKER_20
transcript.pyannote[2395].start 13317.25784375
transcript.pyannote[2395].end 13317.89909375
transcript.pyannote[2396].speaker SPEAKER_20
transcript.pyannote[2396].start 13318.33784375
transcript.pyannote[2396].end 13319.33346875
transcript.pyannote[2397].speaker SPEAKER_20
transcript.pyannote[2397].start 13319.62034375
transcript.pyannote[2397].end 13321.05471875
transcript.pyannote[2398].speaker SPEAKER_20
transcript.pyannote[2398].start 13321.08846875
transcript.pyannote[2398].end 13321.83096875
transcript.pyannote[2399].speaker SPEAKER_26
transcript.pyannote[2399].start 13323.72096875
transcript.pyannote[2399].end 13325.20596875
transcript.pyannote[2400].speaker SPEAKER_26
transcript.pyannote[2400].start 13328.61471875
transcript.pyannote[2400].end 13337.22096875
transcript.pyannote[2401].speaker SPEAKER_34
transcript.pyannote[2401].start 13348.89846875
transcript.pyannote[2401].end 13350.50159375
transcript.pyannote[2402].speaker SPEAKER_26
transcript.pyannote[2402].start 13350.90659375
transcript.pyannote[2402].end 13351.95284375
transcript.pyannote[2403].speaker SPEAKER_35
transcript.pyannote[2403].start 13356.99846875
transcript.pyannote[2403].end 13358.48346875
transcript.pyannote[2404].speaker SPEAKER_34
transcript.pyannote[2404].start 13357.25159375
transcript.pyannote[2404].end 13361.80784375
transcript.pyannote[2405].speaker SPEAKER_34
transcript.pyannote[2405].start 13362.49971875
transcript.pyannote[2405].end 13363.71471875
transcript.pyannote[2406].speaker SPEAKER_34
transcript.pyannote[2406].start 13364.27159375
transcript.pyannote[2406].end 13370.97096875
transcript.pyannote[2407].speaker SPEAKER_34
transcript.pyannote[2407].start 13371.42659375
transcript.pyannote[2407].end 13373.73846875
transcript.pyannote[2408].speaker SPEAKER_35
transcript.pyannote[2408].start 13373.94096875
transcript.pyannote[2408].end 13374.34596875
transcript.pyannote[2409].speaker SPEAKER_34
transcript.pyannote[2409].start 13374.22784375
transcript.pyannote[2409].end 13384.25159375
transcript.pyannote[2410].speaker SPEAKER_34
transcript.pyannote[2410].start 13385.11221875
transcript.pyannote[2410].end 13388.28471875
transcript.pyannote[2411].speaker SPEAKER_34
transcript.pyannote[2411].start 13388.67284375
transcript.pyannote[2411].end 13392.52034375
transcript.pyannote[2412].speaker SPEAKER_34
transcript.pyannote[2412].start 13392.70596875
transcript.pyannote[2412].end 13396.26659375
transcript.pyannote[2413].speaker SPEAKER_34
transcript.pyannote[2413].start 13396.57034375
transcript.pyannote[2413].end 13397.66721875
transcript.pyannote[2414].speaker SPEAKER_34
transcript.pyannote[2414].start 13397.80221875
transcript.pyannote[2414].end 13402.30784375
transcript.pyannote[2415].speaker SPEAKER_34
transcript.pyannote[2415].start 13403.23596875
transcript.pyannote[2415].end 13404.58596875
transcript.pyannote[2416].speaker SPEAKER_34
transcript.pyannote[2416].start 13405.42971875
transcript.pyannote[2416].end 13417.39409375
transcript.pyannote[2417].speaker SPEAKER_34
transcript.pyannote[2417].start 13418.27159375
transcript.pyannote[2417].end 13419.55409375
transcript.pyannote[2418].speaker SPEAKER_34
transcript.pyannote[2418].start 13419.85784375
transcript.pyannote[2418].end 13421.47784375
transcript.pyannote[2419].speaker SPEAKER_34
transcript.pyannote[2419].start 13421.81534375
transcript.pyannote[2419].end 13422.89534375
transcript.pyannote[2420].speaker SPEAKER_34
transcript.pyannote[2420].start 13423.68846875
transcript.pyannote[2420].end 13424.92034375
transcript.pyannote[2421].speaker SPEAKER_34
transcript.pyannote[2421].start 13425.29159375
transcript.pyannote[2421].end 13426.60784375
transcript.pyannote[2422].speaker SPEAKER_34
transcript.pyannote[2422].start 13426.81034375
transcript.pyannote[2422].end 13428.36284375
transcript.pyannote[2423].speaker SPEAKER_34
transcript.pyannote[2423].start 13429.44284375
transcript.pyannote[2423].end 13432.49721875
transcript.pyannote[2424].speaker SPEAKER_34
transcript.pyannote[2424].start 13433.69534375
transcript.pyannote[2424].end 13435.87221875
transcript.pyannote[2425].speaker SPEAKER_34
transcript.pyannote[2425].start 13436.46284375
transcript.pyannote[2425].end 13438.04909375
transcript.pyannote[2426].speaker SPEAKER_34
transcript.pyannote[2426].start 13438.25159375
transcript.pyannote[2426].end 13439.82096875
transcript.pyannote[2427].speaker SPEAKER_34
transcript.pyannote[2427].start 13440.22596875
transcript.pyannote[2427].end 13442.26784375
transcript.pyannote[2428].speaker SPEAKER_34
transcript.pyannote[2428].start 13443.53346875
transcript.pyannote[2428].end 13444.61346875
transcript.pyannote[2429].speaker SPEAKER_34
transcript.pyannote[2429].start 13445.54159375
transcript.pyannote[2429].end 13456.03784375
transcript.pyannote[2430].speaker SPEAKER_34
transcript.pyannote[2430].start 13456.69596875
transcript.pyannote[2430].end 13457.87721875
transcript.pyannote[2431].speaker SPEAKER_34
transcript.pyannote[2431].start 13458.48471875
transcript.pyannote[2431].end 13465.30221875
transcript.pyannote[2432].speaker SPEAKER_34
transcript.pyannote[2432].start 13465.48784375
transcript.pyannote[2432].end 13466.31471875
transcript.pyannote[2433].speaker SPEAKER_34
transcript.pyannote[2433].start 13466.85471875
transcript.pyannote[2433].end 13471.12409375
transcript.pyannote[2434].speaker SPEAKER_34
transcript.pyannote[2434].start 13471.73159375
transcript.pyannote[2434].end 13475.35971875
transcript.pyannote[2435].speaker SPEAKER_34
transcript.pyannote[2435].start 13475.56221875
transcript.pyannote[2435].end 13477.04721875
transcript.pyannote[2436].speaker SPEAKER_34
transcript.pyannote[2436].start 13477.70534375
transcript.pyannote[2436].end 13480.08471875
transcript.pyannote[2437].speaker SPEAKER_34
transcript.pyannote[2437].start 13480.70909375
transcript.pyannote[2437].end 13485.80534375
transcript.pyannote[2438].speaker SPEAKER_34
transcript.pyannote[2438].start 13486.31159375
transcript.pyannote[2438].end 13487.15534375
transcript.pyannote[2439].speaker SPEAKER_34
transcript.pyannote[2439].start 13487.45909375
transcript.pyannote[2439].end 13489.46721875
transcript.pyannote[2440].speaker SPEAKER_34
transcript.pyannote[2440].start 13489.93971875
transcript.pyannote[2440].end 13491.34034375
transcript.pyannote[2441].speaker SPEAKER_34
transcript.pyannote[2441].start 13491.62721875
transcript.pyannote[2441].end 13493.24721875
transcript.pyannote[2442].speaker SPEAKER_34
transcript.pyannote[2442].start 13493.63534375
transcript.pyannote[2442].end 13498.79909375
transcript.pyannote[2443].speaker SPEAKER_34
transcript.pyannote[2443].start 13499.15346875
transcript.pyannote[2443].end 13506.61221875
transcript.pyannote[2444].speaker SPEAKER_34
transcript.pyannote[2444].start 13507.06784375
transcript.pyannote[2444].end 13535.06346875
transcript.pyannote[2445].speaker SPEAKER_34
transcript.pyannote[2445].start 13535.55284375
transcript.pyannote[2445].end 13547.31471875
transcript.pyannote[2446].speaker SPEAKER_34
transcript.pyannote[2446].start 13548.05721875
transcript.pyannote[2446].end 13577.38596875
transcript.pyannote[2447].speaker SPEAKER_34
transcript.pyannote[2447].start 13577.80784375
transcript.pyannote[2447].end 13584.99659375
transcript.pyannote[2448].speaker SPEAKER_34
transcript.pyannote[2448].start 13585.46909375
transcript.pyannote[2448].end 13586.56596875
transcript.pyannote[2449].speaker SPEAKER_34
transcript.pyannote[2449].start 13586.81909375
transcript.pyannote[2449].end 13604.57159375
transcript.pyannote[2450].speaker SPEAKER_34
transcript.pyannote[2450].start 13604.95971875
transcript.pyannote[2450].end 13634.64284375
transcript.pyannote[2451].speaker SPEAKER_34
transcript.pyannote[2451].start 13635.53721875
transcript.pyannote[2451].end 13641.30846875
transcript.pyannote[2452].speaker SPEAKER_34
transcript.pyannote[2452].start 13641.84846875
transcript.pyannote[2452].end 13660.49534375
transcript.pyannote[2453].speaker SPEAKER_05
transcript.pyannote[2453].start 13660.95096875
transcript.pyannote[2453].end 13679.90159375
transcript.pyannote[2454].speaker SPEAKER_34
transcript.pyannote[2454].start 13675.95284375
transcript.pyannote[2454].end 13676.25659375
transcript.pyannote[2455].speaker SPEAKER_34
transcript.pyannote[2455].start 13679.90159375
transcript.pyannote[2455].end 13722.08909375
transcript.pyannote[2456].speaker SPEAKER_00
transcript.pyannote[2456].start 13718.08971875
transcript.pyannote[2456].end 13718.10659375
transcript.pyannote[2457].speaker SPEAKER_35
transcript.pyannote[2457].start 13718.10659375
transcript.pyannote[2457].end 13718.59596875
transcript.pyannote[2458].speaker SPEAKER_35
transcript.pyannote[2458].start 13722.08909375
transcript.pyannote[2458].end 13722.32534375
transcript.pyannote[2459].speaker SPEAKER_34
transcript.pyannote[2459].start 13722.32534375
transcript.pyannote[2459].end 13746.49034375
transcript.pyannote[2460].speaker SPEAKER_07
transcript.pyannote[2460].start 13745.19096875
transcript.pyannote[2460].end 13745.24159375
transcript.pyannote[2461].speaker SPEAKER_09
transcript.pyannote[2461].start 13745.24159375
transcript.pyannote[2461].end 13745.73096875
transcript.pyannote[2462].speaker SPEAKER_26
transcript.pyannote[2462].start 13747.82346875
transcript.pyannote[2462].end 13749.57846875
transcript.pyannote[2463].speaker SPEAKER_26
transcript.pyannote[2463].start 13755.68721875
transcript.pyannote[2463].end 13765.08659375
transcript.pyannote[2464].speaker SPEAKER_23
transcript.pyannote[2464].start 13774.24971875
transcript.pyannote[2464].end 13776.49409375
transcript.pyannote[2465].speaker SPEAKER_23
transcript.pyannote[2465].start 13776.57846875
transcript.pyannote[2465].end 13777.45596875
transcript.pyannote[2466].speaker SPEAKER_23
transcript.pyannote[2466].start 13783.75034375
transcript.pyannote[2466].end 13785.03284375
transcript.pyannote[2467].speaker SPEAKER_23
transcript.pyannote[2467].start 13785.33659375
transcript.pyannote[2467].end 13788.15471875
transcript.pyannote[2468].speaker SPEAKER_23
transcript.pyannote[2468].start 13788.34034375
transcript.pyannote[2468].end 13798.34721875
transcript.pyannote[2469].speaker SPEAKER_00
transcript.pyannote[2469].start 13797.14909375
transcript.pyannote[2469].end 13797.45284375
transcript.pyannote[2470].speaker SPEAKER_23
transcript.pyannote[2470].start 13798.97159375
transcript.pyannote[2470].end 13799.68034375
transcript.pyannote[2471].speaker SPEAKER_23
transcript.pyannote[2471].start 13800.13596875
transcript.pyannote[2471].end 13825.92096875
transcript.pyannote[2472].speaker SPEAKER_23
transcript.pyannote[2472].start 13826.37659375
transcript.pyannote[2472].end 13827.18659375
transcript.pyannote[2473].speaker SPEAKER_23
transcript.pyannote[2473].start 13827.40596875
transcript.pyannote[2473].end 13866.47159375
transcript.pyannote[2474].speaker SPEAKER_23
transcript.pyannote[2474].start 13867.43346875
transcript.pyannote[2474].end 13893.11721875
transcript.pyannote[2475].speaker SPEAKER_23
transcript.pyannote[2475].start 13893.35346875
transcript.pyannote[2475].end 13905.85784375
transcript.pyannote[2476].speaker SPEAKER_23
transcript.pyannote[2476].start 13905.90846875
transcript.pyannote[2476].end 13919.50971875
transcript.pyannote[2477].speaker SPEAKER_23
transcript.pyannote[2477].start 13919.89784375
transcript.pyannote[2477].end 13932.72284375
transcript.pyannote[2478].speaker SPEAKER_23
transcript.pyannote[2478].start 13933.12784375
transcript.pyannote[2478].end 13943.10096875
transcript.pyannote[2479].speaker SPEAKER_05
transcript.pyannote[2479].start 13945.44659375
transcript.pyannote[2479].end 13975.34909375
transcript.pyannote[2480].speaker SPEAKER_23
transcript.pyannote[2480].start 13975.11284375
transcript.pyannote[2480].end 13985.74409375
transcript.pyannote[2481].speaker SPEAKER_23
transcript.pyannote[2481].start 13986.03096875
transcript.pyannote[2481].end 13992.27471875
transcript.pyannote[2482].speaker SPEAKER_23
transcript.pyannote[2482].start 13993.05096875
transcript.pyannote[2482].end 14004.81284375
transcript.pyannote[2483].speaker SPEAKER_23
transcript.pyannote[2483].start 14005.09971875
transcript.pyannote[2483].end 14010.65159375
transcript.pyannote[2484].speaker SPEAKER_23
transcript.pyannote[2484].start 14010.92159375
transcript.pyannote[2484].end 14017.82346875
transcript.pyannote[2485].speaker SPEAKER_23
transcript.pyannote[2485].start 14018.31284375
transcript.pyannote[2485].end 14023.81409375
transcript.pyannote[2486].speaker SPEAKER_23
transcript.pyannote[2486].start 14024.38784375
transcript.pyannote[2486].end 14025.60284375
transcript.pyannote[2487].speaker SPEAKER_23
transcript.pyannote[2487].start 14025.83909375
transcript.pyannote[2487].end 14045.80221875
transcript.pyannote[2488].speaker SPEAKER_23
transcript.pyannote[2488].start 14045.98784375
transcript.pyannote[2488].end 14057.49659375
transcript.pyannote[2489].speaker SPEAKER_26
transcript.pyannote[2489].start 14059.72409375
transcript.pyannote[2489].end 14061.58034375
transcript.pyannote[2490].speaker SPEAKER_26
transcript.pyannote[2490].start 14064.19596875
transcript.pyannote[2490].end 14066.37284375
transcript.pyannote[2491].speaker SPEAKER_27
transcript.pyannote[2491].start 14077.44284375
transcript.pyannote[2491].end 14080.15971875
transcript.pyannote[2492].speaker SPEAKER_27
transcript.pyannote[2492].start 14080.58159375
transcript.pyannote[2492].end 14081.49284375
transcript.pyannote[2493].speaker SPEAKER_07
transcript.pyannote[2493].start 14086.33596875
transcript.pyannote[2493].end 14087.04471875
transcript.pyannote[2494].speaker SPEAKER_27
transcript.pyannote[2494].start 14087.65221875
transcript.pyannote[2494].end 14093.76096875
transcript.pyannote[2495].speaker SPEAKER_27
transcript.pyannote[2495].start 14093.92971875
transcript.pyannote[2495].end 14125.41846875
transcript.pyannote[2496].speaker SPEAKER_27
transcript.pyannote[2496].start 14125.62096875
transcript.pyannote[2496].end 14126.46471875
transcript.pyannote[2497].speaker SPEAKER_05
transcript.pyannote[2497].start 14127.08909375
transcript.pyannote[2497].end 14140.72409375
transcript.pyannote[2498].speaker SPEAKER_27
transcript.pyannote[2498].start 14140.65659375
transcript.pyannote[2498].end 14157.29534375
transcript.pyannote[2499].speaker SPEAKER_05
transcript.pyannote[2499].start 14143.59284375
transcript.pyannote[2499].end 14144.57159375
transcript.pyannote[2500].speaker SPEAKER_05
transcript.pyannote[2500].start 14145.95534375
transcript.pyannote[2500].end 14147.44034375
transcript.pyannote[2501].speaker SPEAKER_05
transcript.pyannote[2501].start 14156.55284375
transcript.pyannote[2501].end 14159.70846875
transcript.pyannote[2502].speaker SPEAKER_27
transcript.pyannote[2502].start 14158.94909375
transcript.pyannote[2502].end 14161.53096875
transcript.pyannote[2503].speaker SPEAKER_27
transcript.pyannote[2503].start 14162.00346875
transcript.pyannote[2503].end 14182.33784375
transcript.pyannote[2504].speaker SPEAKER_05
transcript.pyannote[2504].start 14183.23221875
transcript.pyannote[2504].end 14185.74659375
transcript.pyannote[2505].speaker SPEAKER_27
transcript.pyannote[2505].start 14185.74659375
transcript.pyannote[2505].end 14191.50096875
transcript.pyannote[2506].speaker SPEAKER_05
transcript.pyannote[2506].start 14192.12534375
transcript.pyannote[2506].end 14202.43596875
transcript.pyannote[2507].speaker SPEAKER_27
transcript.pyannote[2507].start 14201.11971875
transcript.pyannote[2507].end 14233.80659375
transcript.pyannote[2508].speaker SPEAKER_05
transcript.pyannote[2508].start 14204.64659375
transcript.pyannote[2508].end 14205.62534375
transcript.pyannote[2509].speaker SPEAKER_05
transcript.pyannote[2509].start 14207.92034375
transcript.pyannote[2509].end 14208.27471875
transcript.pyannote[2510].speaker SPEAKER_33
transcript.pyannote[2510].start 14208.27471875
transcript.pyannote[2510].end 14208.47721875
transcript.pyannote[2511].speaker SPEAKER_05
transcript.pyannote[2511].start 14234.41409375
transcript.pyannote[2511].end 14240.08409375
transcript.pyannote[2512].speaker SPEAKER_27
transcript.pyannote[2512].start 14239.81409375
transcript.pyannote[2512].end 14250.29346875
transcript.pyannote[2513].speaker SPEAKER_05
transcript.pyannote[2513].start 14240.67471875
transcript.pyannote[2513].end 14241.01221875
transcript.pyannote[2514].speaker SPEAKER_05
transcript.pyannote[2514].start 14241.38346875
transcript.pyannote[2514].end 14243.18909375
transcript.pyannote[2515].speaker SPEAKER_05
transcript.pyannote[2515].start 14248.42034375
transcript.pyannote[2515].end 14255.03534375
transcript.pyannote[2516].speaker SPEAKER_27
transcript.pyannote[2516].start 14255.28846875
transcript.pyannote[2516].end 14265.54846875
transcript.pyannote[2517].speaker SPEAKER_27
transcript.pyannote[2517].start 14265.76784375
transcript.pyannote[2517].end 14308.86659375
transcript.pyannote[2518].speaker SPEAKER_05
transcript.pyannote[2518].start 14308.86659375
transcript.pyannote[2518].end 14317.32096875
transcript.pyannote[2519].speaker SPEAKER_27
transcript.pyannote[2519].start 14317.08471875
transcript.pyannote[2519].end 14317.21971875
transcript.pyannote[2520].speaker SPEAKER_27
transcript.pyannote[2520].start 14317.32096875
transcript.pyannote[2520].end 14323.49721875
transcript.pyannote[2521].speaker SPEAKER_05
transcript.pyannote[2521].start 14317.74284375
transcript.pyannote[2521].end 14318.56971875
transcript.pyannote[2522].speaker SPEAKER_05
transcript.pyannote[2522].start 14320.79721875
transcript.pyannote[2522].end 14321.82659375
transcript.pyannote[2523].speaker SPEAKER_05
transcript.pyannote[2523].start 14322.48471875
transcript.pyannote[2523].end 14322.97409375
transcript.pyannote[2524].speaker SPEAKER_05
transcript.pyannote[2524].start 14323.07534375
transcript.pyannote[2524].end 14324.42534375
transcript.pyannote[2525].speaker SPEAKER_27
transcript.pyannote[2525].start 14324.27346875
transcript.pyannote[2525].end 14343.08909375
transcript.pyannote[2526].speaker SPEAKER_27
transcript.pyannote[2526].start 14343.79784375
transcript.pyannote[2526].end 14347.03784375
transcript.pyannote[2527].speaker SPEAKER_05
transcript.pyannote[2527].start 14347.03784375
transcript.pyannote[2527].end 14347.56096875
transcript.pyannote[2528].speaker SPEAKER_05
transcript.pyannote[2528].start 14348.03346875
transcript.pyannote[2528].end 14357.44971875
transcript.pyannote[2529].speaker SPEAKER_27
transcript.pyannote[2529].start 14357.38221875
transcript.pyannote[2529].end 14384.97284375
transcript.pyannote[2530].speaker SPEAKER_05
transcript.pyannote[2530].start 14357.65221875
transcript.pyannote[2530].end 14358.09096875
transcript.pyannote[2531].speaker SPEAKER_05
transcript.pyannote[2531].start 14385.74909375
transcript.pyannote[2531].end 14385.91784375
transcript.pyannote[2532].speaker SPEAKER_27
transcript.pyannote[2532].start 14385.91784375
transcript.pyannote[2532].end 14385.93471875
transcript.pyannote[2533].speaker SPEAKER_05
transcript.pyannote[2533].start 14385.93471875
transcript.pyannote[2533].end 14386.01909375
transcript.pyannote[2534].speaker SPEAKER_27
transcript.pyannote[2534].start 14386.01909375
transcript.pyannote[2534].end 14395.06409375
transcript.pyannote[2535].speaker SPEAKER_05
transcript.pyannote[2535].start 14387.89221875
transcript.pyannote[2535].end 14389.96784375
transcript.pyannote[2536].speaker SPEAKER_05
transcript.pyannote[2536].start 14391.31784375
transcript.pyannote[2536].end 14392.98846875
transcript.pyannote[2537].speaker SPEAKER_05
transcript.pyannote[2537].start 14394.55784375
transcript.pyannote[2537].end 14400.48096875
transcript.pyannote[2538].speaker SPEAKER_27
transcript.pyannote[2538].start 14400.21096875
transcript.pyannote[2538].end 14401.83096875
transcript.pyannote[2539].speaker SPEAKER_27
transcript.pyannote[2539].start 14402.11784375
transcript.pyannote[2539].end 14403.92346875
transcript.pyannote[2540].speaker SPEAKER_05
transcript.pyannote[2540].start 14405.39159375
transcript.pyannote[2540].end 14406.04971875
transcript.pyannote[2541].speaker SPEAKER_27
transcript.pyannote[2541].start 14406.13409375
transcript.pyannote[2541].end 14465.75346875
transcript.pyannote[2542].speaker SPEAKER_29
transcript.pyannote[2542].start 14462.36159375
transcript.pyannote[2542].end 14462.54721875
transcript.pyannote[2543].speaker SPEAKER_27
transcript.pyannote[2543].start 14466.00659375
transcript.pyannote[2543].end 14469.76971875
transcript.pyannote[2544].speaker SPEAKER_05
transcript.pyannote[2544].start 14468.48721875
transcript.pyannote[2544].end 14468.95971875
transcript.pyannote[2545].speaker SPEAKER_27
transcript.pyannote[2545].start 14469.90471875
transcript.pyannote[2545].end 14469.92159375
transcript.pyannote[2546].speaker SPEAKER_05
transcript.pyannote[2546].start 14469.92159375
transcript.pyannote[2546].end 14470.05659375
transcript.pyannote[2547].speaker SPEAKER_27
transcript.pyannote[2547].start 14470.05659375
transcript.pyannote[2547].end 14470.19159375
transcript.pyannote[2548].speaker SPEAKER_05
transcript.pyannote[2548].start 14470.19159375
transcript.pyannote[2548].end 14474.27534375
transcript.pyannote[2549].speaker SPEAKER_27
transcript.pyannote[2549].start 14472.63846875
transcript.pyannote[2549].end 14474.89971875
transcript.pyannote[2550].speaker SPEAKER_05
transcript.pyannote[2550].start 14474.89971875
transcript.pyannote[2550].end 14475.77721875
transcript.pyannote[2551].speaker SPEAKER_27
transcript.pyannote[2551].start 14474.91659375
transcript.pyannote[2551].end 14477.88659375
transcript.pyannote[2552].speaker SPEAKER_05
transcript.pyannote[2552].start 14477.22846875
transcript.pyannote[2552].end 14481.70034375
transcript.pyannote[2553].speaker SPEAKER_27
transcript.pyannote[2553].start 14482.00409375
transcript.pyannote[2553].end 14483.96159375
transcript.pyannote[2554].speaker SPEAKER_26
transcript.pyannote[2554].start 14485.56471875
transcript.pyannote[2554].end 14487.08346875
transcript.pyannote[2555].speaker SPEAKER_26
transcript.pyannote[2555].start 14488.88909375
transcript.pyannote[2555].end 14491.26846875
transcript.pyannote[2556].speaker SPEAKER_13
transcript.pyannote[2556].start 14496.29721875
transcript.pyannote[2556].end 14497.02284375
transcript.pyannote[2557].speaker SPEAKER_13
transcript.pyannote[2557].start 14501.54534375
transcript.pyannote[2557].end 14503.73909375
transcript.pyannote[2558].speaker SPEAKER_26
transcript.pyannote[2558].start 14503.80659375
transcript.pyannote[2558].end 14504.76846875
transcript.pyannote[2559].speaker SPEAKER_13
transcript.pyannote[2559].start 14510.70846875
transcript.pyannote[2559].end 14511.14721875
transcript.pyannote[2560].speaker SPEAKER_13
transcript.pyannote[2560].start 14511.88971875
transcript.pyannote[2560].end 14543.96909375
transcript.pyannote[2561].speaker SPEAKER_05
transcript.pyannote[2561].start 14543.96909375
transcript.pyannote[2561].end 14544.01971875
transcript.pyannote[2562].speaker SPEAKER_13
transcript.pyannote[2562].start 14544.17159375
transcript.pyannote[2562].end 14546.09534375
transcript.pyannote[2563].speaker SPEAKER_05
transcript.pyannote[2563].start 14546.33159375
transcript.pyannote[2563].end 14548.67721875
transcript.pyannote[2564].speaker SPEAKER_13
transcript.pyannote[2564].start 14548.67721875
transcript.pyannote[2564].end 14549.31846875
transcript.pyannote[2565].speaker SPEAKER_13
transcript.pyannote[2565].start 14549.72346875
transcript.pyannote[2565].end 14550.36471875
transcript.pyannote[2566].speaker SPEAKER_05
transcript.pyannote[2566].start 14550.97221875
transcript.pyannote[2566].end 14557.08096875
transcript.pyannote[2567].speaker SPEAKER_13
transcript.pyannote[2567].start 14557.01346875
transcript.pyannote[2567].end 14565.55221875
transcript.pyannote[2568].speaker SPEAKER_13
transcript.pyannote[2568].start 14566.58159375
transcript.pyannote[2568].end 14568.53909375
transcript.pyannote[2569].speaker SPEAKER_13
transcript.pyannote[2569].start 14569.24784375
transcript.pyannote[2569].end 14574.07409375
transcript.pyannote[2570].speaker SPEAKER_05
transcript.pyannote[2570].start 14572.35284375
transcript.pyannote[2570].end 14574.64784375
transcript.pyannote[2571].speaker SPEAKER_13
transcript.pyannote[2571].start 14574.34409375
transcript.pyannote[2571].end 14588.50221875
transcript.pyannote[2572].speaker SPEAKER_35
transcript.pyannote[2572].start 14585.39721875
transcript.pyannote[2572].end 14585.53221875
transcript.pyannote[2573].speaker SPEAKER_35
transcript.pyannote[2573].start 14588.31659375
transcript.pyannote[2573].end 14588.56971875
transcript.pyannote[2574].speaker SPEAKER_13
transcript.pyannote[2574].start 14588.56971875
transcript.pyannote[2574].end 14600.50034375
transcript.pyannote[2575].speaker SPEAKER_35
transcript.pyannote[2575].start 14588.62034375
transcript.pyannote[2575].end 14588.65409375
transcript.pyannote[2576].speaker SPEAKER_13
transcript.pyannote[2576].start 14600.87159375
transcript.pyannote[2576].end 14602.30596875
transcript.pyannote[2577].speaker SPEAKER_13
transcript.pyannote[2577].start 14602.82909375
transcript.pyannote[2577].end 14605.91721875
transcript.pyannote[2578].speaker SPEAKER_35
transcript.pyannote[2578].start 14606.00159375
transcript.pyannote[2578].end 14606.33909375
transcript.pyannote[2579].speaker SPEAKER_13
transcript.pyannote[2579].start 14606.64284375
transcript.pyannote[2579].end 14607.06471875
transcript.pyannote[2580].speaker SPEAKER_13
transcript.pyannote[2580].start 14607.09846875
transcript.pyannote[2580].end 14610.05159375
transcript.pyannote[2581].speaker SPEAKER_13
transcript.pyannote[2581].start 14611.14846875
transcript.pyannote[2581].end 14616.29534375
transcript.pyannote[2582].speaker SPEAKER_13
transcript.pyannote[2582].start 14616.76784375
transcript.pyannote[2582].end 14632.02284375
transcript.pyannote[2583].speaker SPEAKER_05
transcript.pyannote[2583].start 14618.96159375
transcript.pyannote[2583].end 14619.06284375
transcript.pyannote[2584].speaker SPEAKER_05
transcript.pyannote[2584].start 14632.02284375
transcript.pyannote[2584].end 14641.16909375
transcript.pyannote[2585].speaker SPEAKER_13
transcript.pyannote[2585].start 14638.75596875
transcript.pyannote[2585].end 14645.59034375
transcript.pyannote[2586].speaker SPEAKER_05
transcript.pyannote[2586].start 14641.23659375
transcript.pyannote[2586].end 14642.41784375
transcript.pyannote[2587].speaker SPEAKER_05
transcript.pyannote[2587].start 14643.93659375
transcript.pyannote[2587].end 14646.53534375
transcript.pyannote[2588].speaker SPEAKER_13
transcript.pyannote[2588].start 14646.06284375
transcript.pyannote[2588].end 14650.55159375
transcript.pyannote[2589].speaker SPEAKER_05
transcript.pyannote[2589].start 14649.01596875
transcript.pyannote[2589].end 14656.72784375
transcript.pyannote[2590].speaker SPEAKER_35
transcript.pyannote[2590].start 14653.45409375
transcript.pyannote[2590].end 14653.80846875
transcript.pyannote[2591].speaker SPEAKER_35
transcript.pyannote[2591].start 14656.72784375
transcript.pyannote[2591].end 14656.98096875
transcript.pyannote[2592].speaker SPEAKER_05
transcript.pyannote[2592].start 14656.98096875
transcript.pyannote[2592].end 14666.21159375
transcript.pyannote[2593].speaker SPEAKER_13
transcript.pyannote[2593].start 14666.14409375
transcript.pyannote[2593].end 14670.12659375
transcript.pyannote[2594].speaker SPEAKER_05
transcript.pyannote[2594].start 14669.94096875
transcript.pyannote[2594].end 14669.97471875
transcript.pyannote[2595].speaker SPEAKER_05
transcript.pyannote[2595].start 14670.00846875
transcript.pyannote[2595].end 14670.59909375
transcript.pyannote[2596].speaker SPEAKER_13
transcript.pyannote[2596].start 14670.37971875
transcript.pyannote[2596].end 14679.69471875
transcript.pyannote[2597].speaker SPEAKER_05
transcript.pyannote[2597].start 14678.86784375
transcript.pyannote[2597].end 14693.21159375
transcript.pyannote[2598].speaker SPEAKER_13
transcript.pyannote[2598].start 14681.51721875
transcript.pyannote[2598].end 14681.92221875
transcript.pyannote[2599].speaker SPEAKER_13
transcript.pyannote[2599].start 14688.77346875
transcript.pyannote[2599].end 14690.03909375
transcript.pyannote[2600].speaker SPEAKER_13
transcript.pyannote[2600].start 14690.10659375
transcript.pyannote[2600].end 14692.01346875
transcript.pyannote[2601].speaker SPEAKER_13
transcript.pyannote[2601].start 14692.95846875
transcript.pyannote[2601].end 14693.19471875
transcript.pyannote[2602].speaker SPEAKER_13
transcript.pyannote[2602].start 14693.21159375
transcript.pyannote[2602].end 14697.36284375
transcript.pyannote[2603].speaker SPEAKER_05
transcript.pyannote[2603].start 14695.94534375
transcript.pyannote[2603].end 14696.62034375
transcript.pyannote[2604].speaker SPEAKER_05
transcript.pyannote[2604].start 14697.36284375
transcript.pyannote[2604].end 14698.49346875
transcript.pyannote[2605].speaker SPEAKER_13
transcript.pyannote[2605].start 14697.64971875
transcript.pyannote[2605].end 14700.28221875
transcript.pyannote[2606].speaker SPEAKER_05
transcript.pyannote[2606].start 14700.28221875
transcript.pyannote[2606].end 14722.75971875
transcript.pyannote[2607].speaker SPEAKER_13
transcript.pyannote[2607].start 14701.22721875
transcript.pyannote[2607].end 14701.73346875
transcript.pyannote[2608].speaker SPEAKER_13
transcript.pyannote[2608].start 14702.86409375
transcript.pyannote[2608].end 14703.70784375
transcript.pyannote[2609].speaker SPEAKER_35
transcript.pyannote[2609].start 14712.76971875
transcript.pyannote[2609].end 14713.07346875
transcript.pyannote[2610].speaker SPEAKER_35
transcript.pyannote[2610].start 14719.80659375
transcript.pyannote[2610].end 14720.12721875
transcript.pyannote[2611].speaker SPEAKER_05
transcript.pyannote[2611].start 14723.11409375
transcript.pyannote[2611].end 14731.97346875
transcript.pyannote[2612].speaker SPEAKER_13
transcript.pyannote[2612].start 14731.77096875
transcript.pyannote[2612].end 14732.09159375
transcript.pyannote[2613].speaker SPEAKER_05
transcript.pyannote[2613].start 14732.09159375
transcript.pyannote[2613].end 14733.28971875
transcript.pyannote[2614].speaker SPEAKER_13
transcript.pyannote[2614].start 14733.28971875
transcript.pyannote[2614].end 14757.50534375
transcript.pyannote[2615].speaker SPEAKER_05
transcript.pyannote[2615].start 14733.67784375
transcript.pyannote[2615].end 14734.30221875
transcript.pyannote[2616].speaker SPEAKER_13
transcript.pyannote[2616].start 14757.62346875
transcript.pyannote[2616].end 14762.01096875
transcript.pyannote[2617].speaker SPEAKER_13
transcript.pyannote[2617].start 14762.60159375
transcript.pyannote[2617].end 14763.32721875
transcript.pyannote[2618].speaker SPEAKER_13
transcript.pyannote[2618].start 14763.34409375
transcript.pyannote[2618].end 14765.03159375
transcript.pyannote[2619].speaker SPEAKER_13
transcript.pyannote[2619].start 14765.50409375
transcript.pyannote[2619].end 14766.49971875
transcript.pyannote[2620].speaker SPEAKER_13
transcript.pyannote[2620].start 14767.81596875
transcript.pyannote[2620].end 14769.25034375
transcript.pyannote[2621].speaker SPEAKER_13
transcript.pyannote[2621].start 14769.89159375
transcript.pyannote[2621].end 14772.99659375
transcript.pyannote[2622].speaker SPEAKER_35
transcript.pyannote[2622].start 14773.09784375
transcript.pyannote[2622].end 14773.46909375
transcript.pyannote[2623].speaker SPEAKER_13
transcript.pyannote[2623].start 14773.58721875
transcript.pyannote[2623].end 14777.94096875
transcript.pyannote[2624].speaker SPEAKER_35
transcript.pyannote[2624].start 14778.51471875
transcript.pyannote[2624].end 14778.64971875
transcript.pyannote[2625].speaker SPEAKER_13
transcript.pyannote[2625].start 14778.64971875
transcript.pyannote[2625].end 14786.32784375
transcript.pyannote[2626].speaker SPEAKER_13
transcript.pyannote[2626].start 14786.78346875
transcript.pyannote[2626].end 14801.29596875
transcript.pyannote[2627].speaker SPEAKER_13
transcript.pyannote[2627].start 14801.73471875
transcript.pyannote[2627].end 14807.52284375
transcript.pyannote[2628].speaker SPEAKER_13
transcript.pyannote[2628].start 14807.79284375
transcript.pyannote[2628].end 14810.03721875
transcript.pyannote[2629].speaker SPEAKER_05
transcript.pyannote[2629].start 14809.76721875
transcript.pyannote[2629].end 14819.97659375
transcript.pyannote[2630].speaker SPEAKER_13
transcript.pyannote[2630].start 14817.86721875
transcript.pyannote[2630].end 14818.82909375
transcript.pyannote[2631].speaker SPEAKER_13
transcript.pyannote[2631].start 14819.45346875
transcript.pyannote[2631].end 14819.95971875
transcript.pyannote[2632].speaker SPEAKER_13
transcript.pyannote[2632].start 14819.97659375
transcript.pyannote[2632].end 14824.53284375
transcript.pyannote[2633].speaker SPEAKER_05
transcript.pyannote[2633].start 14824.53284375
transcript.pyannote[2633].end 14830.65846875
transcript.pyannote[2634].speaker SPEAKER_13
transcript.pyannote[2634].start 14830.65846875
transcript.pyannote[2634].end 14830.72596875
transcript.pyannote[2635].speaker SPEAKER_05
transcript.pyannote[2635].start 14830.72596875
transcript.pyannote[2635].end 14830.82721875
transcript.pyannote[2636].speaker SPEAKER_13
transcript.pyannote[2636].start 14830.82721875
transcript.pyannote[2636].end 14830.94534375
transcript.pyannote[2637].speaker SPEAKER_05
transcript.pyannote[2637].start 14830.94534375
transcript.pyannote[2637].end 14830.96221875
transcript.pyannote[2638].speaker SPEAKER_13
transcript.pyannote[2638].start 14830.96221875
transcript.pyannote[2638].end 14846.08221875
transcript.pyannote[2639].speaker SPEAKER_09
transcript.pyannote[2639].start 14834.30346875
transcript.pyannote[2639].end 14834.35409375
transcript.pyannote[2640].speaker SPEAKER_05
transcript.pyannote[2640].start 14834.35409375
transcript.pyannote[2640].end 14834.82659375
transcript.pyannote[2641].speaker SPEAKER_09
transcript.pyannote[2641].start 14834.82659375
transcript.pyannote[2641].end 14834.84346875
transcript.pyannote[2642].speaker SPEAKER_05
transcript.pyannote[2642].start 14834.84346875
transcript.pyannote[2642].end 14834.89409375
transcript.pyannote[2643].speaker SPEAKER_35
transcript.pyannote[2643].start 14845.87971875
transcript.pyannote[2643].end 14846.63909375
transcript.pyannote[2644].speaker SPEAKER_13
transcript.pyannote[2644].start 14846.57159375
transcript.pyannote[2644].end 14847.14534375
transcript.pyannote[2645].speaker SPEAKER_13
transcript.pyannote[2645].start 14847.61784375
transcript.pyannote[2645].end 14849.87909375
transcript.pyannote[2646].speaker SPEAKER_13
transcript.pyannote[2646].start 14850.35159375
transcript.pyannote[2646].end 14852.95034375
transcript.pyannote[2647].speaker SPEAKER_13
transcript.pyannote[2647].start 14853.42284375
transcript.pyannote[2647].end 14854.41846875
transcript.pyannote[2648].speaker SPEAKER_13
transcript.pyannote[2648].start 14854.62096875
transcript.pyannote[2648].end 14856.42659375
transcript.pyannote[2649].speaker SPEAKER_13
transcript.pyannote[2649].start 14856.84846875
transcript.pyannote[2649].end 14859.90284375
transcript.pyannote[2650].speaker SPEAKER_35
transcript.pyannote[2650].start 14859.90284375
transcript.pyannote[2650].end 14859.91971875
transcript.pyannote[2651].speaker SPEAKER_13
transcript.pyannote[2651].start 14859.91971875
transcript.pyannote[2651].end 14862.13034375
transcript.pyannote[2652].speaker SPEAKER_13
transcript.pyannote[2652].start 14862.21471875
transcript.pyannote[2652].end 14867.42909375
transcript.pyannote[2653].speaker SPEAKER_05
transcript.pyannote[2653].start 14867.46284375
transcript.pyannote[2653].end 14871.39471875
transcript.pyannote[2654].speaker SPEAKER_13
transcript.pyannote[2654].start 14869.82534375
transcript.pyannote[2654].end 14870.85471875
transcript.pyannote[2655].speaker SPEAKER_13
transcript.pyannote[2655].start 14870.98971875
transcript.pyannote[2655].end 14884.30409375
transcript.pyannote[2656].speaker SPEAKER_05
transcript.pyannote[2656].start 14872.99784375
transcript.pyannote[2656].end 14873.43659375
transcript.pyannote[2657].speaker SPEAKER_35
transcript.pyannote[2657].start 14884.30409375
transcript.pyannote[2657].end 14885.26596875
transcript.pyannote[2658].speaker SPEAKER_13
transcript.pyannote[2658].start 14885.16471875
transcript.pyannote[2658].end 14888.74221875
transcript.pyannote[2659].speaker SPEAKER_13
transcript.pyannote[2659].start 14889.26534375
transcript.pyannote[2659].end 14890.09221875
transcript.pyannote[2660].speaker SPEAKER_13
transcript.pyannote[2660].start 14890.91909375
transcript.pyannote[2660].end 14892.01596875
transcript.pyannote[2661].speaker SPEAKER_13
transcript.pyannote[2661].start 14892.50534375
transcript.pyannote[2661].end 14894.24346875
transcript.pyannote[2662].speaker SPEAKER_13
transcript.pyannote[2662].start 14894.88471875
transcript.pyannote[2662].end 14895.61034375
transcript.pyannote[2663].speaker SPEAKER_13
transcript.pyannote[2663].start 14895.98159375
transcript.pyannote[2663].end 14896.42034375
transcript.pyannote[2664].speaker SPEAKER_13
transcript.pyannote[2664].start 14896.97721875
transcript.pyannote[2664].end 14903.89596875
transcript.pyannote[2665].speaker SPEAKER_13
transcript.pyannote[2665].start 14904.87471875
transcript.pyannote[2665].end 14906.89971875
transcript.pyannote[2666].speaker SPEAKER_05
transcript.pyannote[2666].start 14906.89971875
transcript.pyannote[2666].end 14914.30784375
transcript.pyannote[2667].speaker SPEAKER_05
transcript.pyannote[2667].start 14914.49346875
transcript.pyannote[2667].end 14915.26971875
transcript.pyannote[2668].speaker SPEAKER_13
transcript.pyannote[2668].start 14914.56096875
transcript.pyannote[2668].end 14917.19346875
transcript.pyannote[2669].speaker SPEAKER_05
transcript.pyannote[2669].start 14916.70409375
transcript.pyannote[2669].end 14938.96221875
transcript.pyannote[2670].speaker SPEAKER_13
transcript.pyannote[2670].start 14921.88471875
transcript.pyannote[2670].end 14922.23909375
transcript.pyannote[2671].speaker SPEAKER_13
transcript.pyannote[2671].start 14936.59971875
transcript.pyannote[2671].end 14937.52784375
transcript.pyannote[2672].speaker SPEAKER_13
transcript.pyannote[2672].start 14938.96221875
transcript.pyannote[2672].end 14940.56534375
transcript.pyannote[2673].speaker SPEAKER_13
transcript.pyannote[2673].start 14941.29096875
transcript.pyannote[2673].end 14945.17221875
transcript.pyannote[2674].speaker SPEAKER_13
transcript.pyannote[2674].start 14945.66159375
transcript.pyannote[2674].end 14946.13409375
transcript.pyannote[2675].speaker SPEAKER_13
transcript.pyannote[2675].start 14946.53909375
transcript.pyannote[2675].end 14950.62284375
transcript.pyannote[2676].speaker SPEAKER_13
transcript.pyannote[2676].start 14951.09534375
transcript.pyannote[2676].end 14953.64346875
transcript.pyannote[2677].speaker SPEAKER_13
transcript.pyannote[2677].start 14954.08221875
transcript.pyannote[2677].end 14956.88346875
transcript.pyannote[2678].speaker SPEAKER_13
transcript.pyannote[2678].start 14957.55846875
transcript.pyannote[2678].end 14959.66784375
transcript.pyannote[2679].speaker SPEAKER_13
transcript.pyannote[2679].start 14959.98846875
transcript.pyannote[2679].end 14961.11909375
transcript.pyannote[2680].speaker SPEAKER_05
transcript.pyannote[2680].start 14962.30034375
transcript.pyannote[2680].end 14963.76846875
transcript.pyannote[2681].speaker SPEAKER_13
transcript.pyannote[2681].start 14963.76846875
transcript.pyannote[2681].end 14963.95409375
transcript.pyannote[2682].speaker SPEAKER_05
transcript.pyannote[2682].start 14963.95409375
transcript.pyannote[2682].end 14964.03846875
transcript.pyannote[2683].speaker SPEAKER_05
transcript.pyannote[2683].start 14966.02971875
transcript.pyannote[2683].end 14966.72159375
transcript.pyannote[2684].speaker SPEAKER_04
transcript.pyannote[2684].start 14967.93659375
transcript.pyannote[2684].end 14980.49159375
transcript.pyannote[2685].speaker SPEAKER_04
transcript.pyannote[2685].start 14980.54221875
transcript.pyannote[2685].end 14994.17721875
transcript.pyannote[2686].speaker SPEAKER_13
transcript.pyannote[2686].start 14994.04221875
transcript.pyannote[2686].end 15000.99471875
transcript.pyannote[2687].speaker SPEAKER_13
transcript.pyannote[2687].start 15001.50096875
transcript.pyannote[2687].end 15003.17159375
transcript.pyannote[2688].speaker SPEAKER_04
transcript.pyannote[2688].start 15003.17159375
transcript.pyannote[2688].end 15004.06596875
transcript.pyannote[2689].speaker SPEAKER_13
transcript.pyannote[2689].start 15004.06596875
transcript.pyannote[2689].end 15008.03159375
transcript.pyannote[2690].speaker SPEAKER_13
transcript.pyannote[2690].start 15008.26784375
transcript.pyannote[2690].end 15012.87471875
transcript.pyannote[2691].speaker SPEAKER_13
transcript.pyannote[2691].start 15013.00971875
transcript.pyannote[2691].end 15013.04346875
transcript.pyannote[2692].speaker SPEAKER_13
transcript.pyannote[2692].start 15013.09409375
transcript.pyannote[2692].end 15015.10221875
transcript.pyannote[2693].speaker SPEAKER_13
transcript.pyannote[2693].start 15015.92909375
transcript.pyannote[2693].end 15017.81909375
transcript.pyannote[2694].speaker SPEAKER_04
transcript.pyannote[2694].start 15017.93721875
transcript.pyannote[2694].end 15025.39596875
transcript.pyannote[2695].speaker SPEAKER_13
transcript.pyannote[2695].start 15023.80971875
transcript.pyannote[2695].end 15028.33221875
transcript.pyannote[2696].speaker SPEAKER_04
transcript.pyannote[2696].start 15028.55159375
transcript.pyannote[2696].end 15032.68596875
transcript.pyannote[2697].speaker SPEAKER_13
transcript.pyannote[2697].start 15030.27284375
transcript.pyannote[2697].end 15031.36971875
transcript.pyannote[2698].speaker SPEAKER_13
transcript.pyannote[2698].start 15031.65659375
transcript.pyannote[2698].end 15031.72409375
transcript.pyannote[2699].speaker SPEAKER_13
transcript.pyannote[2699].start 15032.58471875
transcript.pyannote[2699].end 15033.24284375
transcript.pyannote[2700].speaker SPEAKER_04
transcript.pyannote[2700].start 15032.87159375
transcript.pyannote[2700].end 15033.31034375
transcript.pyannote[2701].speaker SPEAKER_04
transcript.pyannote[2701].start 15034.20471875
transcript.pyannote[2701].end 15036.02721875
transcript.pyannote[2702].speaker SPEAKER_13
transcript.pyannote[2702].start 15036.24659375
transcript.pyannote[2702].end 15039.06471875
transcript.pyannote[2703].speaker SPEAKER_04
transcript.pyannote[2703].start 15038.69346875
transcript.pyannote[2703].end 15038.89596875
transcript.pyannote[2704].speaker SPEAKER_13
transcript.pyannote[2704].start 15039.33471875
transcript.pyannote[2704].end 15042.87846875
transcript.pyannote[2705].speaker SPEAKER_13
transcript.pyannote[2705].start 15043.28346875
transcript.pyannote[2705].end 15044.97096875
transcript.pyannote[2706].speaker SPEAKER_13
transcript.pyannote[2706].start 15045.42659375
transcript.pyannote[2706].end 15046.03409375
transcript.pyannote[2707].speaker SPEAKER_13
transcript.pyannote[2707].start 15046.20284375
transcript.pyannote[2707].end 15053.88096875
transcript.pyannote[2708].speaker SPEAKER_13
transcript.pyannote[2708].start 15054.52221875
transcript.pyannote[2708].end 15057.98159375
transcript.pyannote[2709].speaker SPEAKER_13
transcript.pyannote[2709].start 15059.34846875
transcript.pyannote[2709].end 15083.76659375
transcript.pyannote[2710].speaker SPEAKER_04
transcript.pyannote[2710].start 15083.95221875
transcript.pyannote[2710].end 15095.27534375
transcript.pyannote[2711].speaker SPEAKER_13
transcript.pyannote[2711].start 15088.03596875
transcript.pyannote[2711].end 15088.25534375
transcript.pyannote[2712].speaker SPEAKER_13
transcript.pyannote[2712].start 15095.19096875
transcript.pyannote[2712].end 15096.10221875
transcript.pyannote[2713].speaker SPEAKER_04
transcript.pyannote[2713].start 15096.28784375
transcript.pyannote[2713].end 15100.79346875
transcript.pyannote[2714].speaker SPEAKER_13
transcript.pyannote[2714].start 15097.03034375
transcript.pyannote[2714].end 15097.97534375
transcript.pyannote[2715].speaker SPEAKER_13
transcript.pyannote[2715].start 15100.27034375
transcript.pyannote[2715].end 15104.40471875
transcript.pyannote[2716].speaker SPEAKER_13
transcript.pyannote[2716].start 15105.21471875
transcript.pyannote[2716].end 15107.50971875
transcript.pyannote[2717].speaker SPEAKER_13
transcript.pyannote[2717].start 15107.66159375
transcript.pyannote[2717].end 15108.35346875
transcript.pyannote[2718].speaker SPEAKER_13
transcript.pyannote[2718].start 15108.64034375
transcript.pyannote[2718].end 15109.75409375
transcript.pyannote[2719].speaker SPEAKER_13
transcript.pyannote[2719].start 15114.15846875
transcript.pyannote[2719].end 15114.54659375
transcript.pyannote[2720].speaker SPEAKER_35
transcript.pyannote[2720].start 15114.79971875
transcript.pyannote[2720].end 15114.88409375
transcript.pyannote[2721].speaker SPEAKER_35
transcript.pyannote[2721].start 15114.96846875
transcript.pyannote[2721].end 15115.05284375
transcript.pyannote[2722].speaker SPEAKER_35
transcript.pyannote[2722].start 15115.27221875
transcript.pyannote[2722].end 15115.93034375
transcript.pyannote[2723].speaker SPEAKER_13
transcript.pyannote[2723].start 15115.64346875
transcript.pyannote[2723].end 15115.94721875
transcript.pyannote[2724].speaker SPEAKER_35
transcript.pyannote[2724].start 15115.94721875
transcript.pyannote[2724].end 15117.22971875
transcript.pyannote[2725].speaker SPEAKER_13
transcript.pyannote[2725].start 15116.09909375
transcript.pyannote[2725].end 15116.20034375
transcript.pyannote[2726].speaker SPEAKER_13
transcript.pyannote[2726].start 15116.25096875
transcript.pyannote[2726].end 15121.16159375
transcript.pyannote[2727].speaker SPEAKER_13
transcript.pyannote[2727].start 15121.85346875
transcript.pyannote[2727].end 15124.36784375
transcript.pyannote[2728].speaker SPEAKER_35
transcript.pyannote[2728].start 15124.46909375
transcript.pyannote[2728].end 15124.65471875
transcript.pyannote[2729].speaker SPEAKER_13
transcript.pyannote[2729].start 15124.65471875
transcript.pyannote[2729].end 15133.17659375
transcript.pyannote[2730].speaker SPEAKER_35
transcript.pyannote[2730].start 15124.68846875
transcript.pyannote[2730].end 15124.73909375
transcript.pyannote[2731].speaker SPEAKER_13
transcript.pyannote[2731].start 15134.25659375
transcript.pyannote[2731].end 15153.49409375
transcript.pyannote[2732].speaker SPEAKER_13
transcript.pyannote[2732].start 15155.21534375
transcript.pyannote[2732].end 15156.88596875
transcript.pyannote[2733].speaker SPEAKER_13
transcript.pyannote[2733].start 15157.54409375
transcript.pyannote[2733].end 15158.75909375
transcript.pyannote[2734].speaker SPEAKER_13
transcript.pyannote[2734].start 15159.78846875
transcript.pyannote[2734].end 15164.74971875
transcript.pyannote[2735].speaker SPEAKER_05
transcript.pyannote[2735].start 15165.30659375
transcript.pyannote[2735].end 15165.71159375
transcript.pyannote[2736].speaker SPEAKER_05
transcript.pyannote[2736].start 15166.09971875
transcript.pyannote[2736].end 15168.66471875
transcript.pyannote[2737].speaker SPEAKER_05
transcript.pyannote[2737].start 15168.90096875
transcript.pyannote[2737].end 15173.11971875
transcript.pyannote[2738].speaker SPEAKER_13
transcript.pyannote[2738].start 15173.40659375
transcript.pyannote[2738].end 15176.35971875
transcript.pyannote[2739].speaker SPEAKER_05
transcript.pyannote[2739].start 15176.35971875
transcript.pyannote[2739].end 15176.78159375
transcript.pyannote[2740].speaker SPEAKER_13
transcript.pyannote[2740].start 15176.78159375
transcript.pyannote[2740].end 15178.48596875
transcript.pyannote[2741].speaker SPEAKER_13
transcript.pyannote[2741].start 15178.99221875
transcript.pyannote[2741].end 15182.48534375
transcript.pyannote[2742].speaker SPEAKER_26
transcript.pyannote[2742].start 15182.48534375
transcript.pyannote[2742].end 15182.75534375
transcript.pyannote[2743].speaker SPEAKER_05
transcript.pyannote[2743].start 15182.75534375
transcript.pyannote[2743].end 15182.77221875
transcript.pyannote[2744].speaker SPEAKER_26
transcript.pyannote[2744].start 15182.77221875
transcript.pyannote[2744].end 15182.87346875
transcript.pyannote[2745].speaker SPEAKER_13
transcript.pyannote[2745].start 15182.87346875
transcript.pyannote[2745].end 15183.70034375
transcript.pyannote[2746].speaker SPEAKER_26
transcript.pyannote[2746].start 15184.15596875
transcript.pyannote[2746].end 15185.72534375
transcript.pyannote[2747].speaker SPEAKER_26
transcript.pyannote[2747].start 15191.02409375
transcript.pyannote[2747].end 15198.80346875
transcript.pyannote[2748].speaker SPEAKER_36
transcript.pyannote[2748].start 15205.67159375
transcript.pyannote[2748].end 15207.20721875
transcript.pyannote[2749].speaker SPEAKER_25
transcript.pyannote[2749].start 15207.62909375
transcript.pyannote[2749].end 15208.54034375
transcript.pyannote[2750].speaker SPEAKER_05
transcript.pyannote[2750].start 15214.00784375
transcript.pyannote[2750].end 15214.53096875
transcript.pyannote[2751].speaker SPEAKER_05
transcript.pyannote[2751].start 15214.64909375
transcript.pyannote[2751].end 15214.78409375
transcript.pyannote[2752].speaker SPEAKER_36
transcript.pyannote[2752].start 15215.02034375
transcript.pyannote[2752].end 15218.91846875
transcript.pyannote[2753].speaker SPEAKER_36
transcript.pyannote[2753].start 15219.67784375
transcript.pyannote[2753].end 15223.91346875
transcript.pyannote[2754].speaker SPEAKER_36
transcript.pyannote[2754].start 15224.85846875
transcript.pyannote[2754].end 15225.83721875
transcript.pyannote[2755].speaker SPEAKER_36
transcript.pyannote[2755].start 15226.64721875
transcript.pyannote[2755].end 15232.26659375
transcript.pyannote[2756].speaker SPEAKER_36
transcript.pyannote[2756].start 15233.19471875
transcript.pyannote[2756].end 15241.53096875
transcript.pyannote[2757].speaker SPEAKER_36
transcript.pyannote[2757].start 15241.86846875
transcript.pyannote[2757].end 15251.31846875
transcript.pyannote[2758].speaker SPEAKER_05
transcript.pyannote[2758].start 15251.31846875
transcript.pyannote[2758].end 15251.57159375
transcript.pyannote[2759].speaker SPEAKER_36
transcript.pyannote[2759].start 15251.57159375
transcript.pyannote[2759].end 15252.34784375
transcript.pyannote[2760].speaker SPEAKER_05
transcript.pyannote[2760].start 15252.61784375
transcript.pyannote[2760].end 15252.65159375
transcript.pyannote[2761].speaker SPEAKER_36
transcript.pyannote[2761].start 15252.65159375
transcript.pyannote[2761].end 15252.90471875
transcript.pyannote[2762].speaker SPEAKER_05
transcript.pyannote[2762].start 15252.66846875
transcript.pyannote[2762].end 15264.73409375
transcript.pyannote[2763].speaker SPEAKER_36
transcript.pyannote[2763].start 15258.52409375
transcript.pyannote[2763].end 15260.29596875
transcript.pyannote[2764].speaker SPEAKER_36
transcript.pyannote[2764].start 15263.04659375
transcript.pyannote[2764].end 15263.51909375
transcript.pyannote[2765].speaker SPEAKER_36
transcript.pyannote[2765].start 15264.73409375
transcript.pyannote[2765].end 15264.86909375
transcript.pyannote[2766].speaker SPEAKER_05
transcript.pyannote[2766].start 15264.86909375
transcript.pyannote[2766].end 15264.88596875
transcript.pyannote[2767].speaker SPEAKER_36
transcript.pyannote[2767].start 15264.88596875
transcript.pyannote[2767].end 15265.69596875
transcript.pyannote[2768].speaker SPEAKER_05
transcript.pyannote[2768].start 15265.25721875
transcript.pyannote[2768].end 15265.86471875
transcript.pyannote[2769].speaker SPEAKER_36
transcript.pyannote[2769].start 15266.40471875
transcript.pyannote[2769].end 15267.02909375
transcript.pyannote[2770].speaker SPEAKER_05
transcript.pyannote[2770].start 15267.02909375
transcript.pyannote[2770].end 15268.36221875
transcript.pyannote[2771].speaker SPEAKER_36
transcript.pyannote[2771].start 15268.07534375
transcript.pyannote[2771].end 15271.29846875
transcript.pyannote[2772].speaker SPEAKER_05
transcript.pyannote[2772].start 15271.31534375
transcript.pyannote[2772].end 15272.91846875
transcript.pyannote[2773].speaker SPEAKER_36
transcript.pyannote[2773].start 15272.59784375
transcript.pyannote[2773].end 15273.05346875
transcript.pyannote[2774].speaker SPEAKER_05
transcript.pyannote[2774].start 15273.84659375
transcript.pyannote[2774].end 15274.87596875
transcript.pyannote[2775].speaker SPEAKER_05
transcript.pyannote[2775].start 15274.97721875
transcript.pyannote[2775].end 15275.97284375
transcript.pyannote[2776].speaker SPEAKER_36
transcript.pyannote[2776].start 15275.11221875
transcript.pyannote[2776].end 15277.05284375
transcript.pyannote[2777].speaker SPEAKER_36
transcript.pyannote[2777].start 15277.67721875
transcript.pyannote[2777].end 15288.32534375
transcript.pyannote[2778].speaker SPEAKER_05
transcript.pyannote[2778].start 15282.14909375
transcript.pyannote[2778].end 15282.16596875
transcript.pyannote[2779].speaker SPEAKER_35
transcript.pyannote[2779].start 15282.16596875
transcript.pyannote[2779].end 15282.58784375
transcript.pyannote[2780].speaker SPEAKER_35
transcript.pyannote[2780].start 15285.05159375
transcript.pyannote[2780].end 15285.35534375
transcript.pyannote[2781].speaker SPEAKER_35
transcript.pyannote[2781].start 15288.13971875
transcript.pyannote[2781].end 15288.42659375
transcript.pyannote[2782].speaker SPEAKER_36
transcript.pyannote[2782].start 15288.42659375
transcript.pyannote[2782].end 15304.40721875
transcript.pyannote[2783].speaker SPEAKER_36
transcript.pyannote[2783].start 15304.50846875
transcript.pyannote[2783].end 15313.03034375
transcript.pyannote[2784].speaker SPEAKER_36
transcript.pyannote[2784].start 15313.68846875
transcript.pyannote[2784].end 15314.75159375
transcript.pyannote[2785].speaker SPEAKER_36
transcript.pyannote[2785].start 15314.78534375
transcript.pyannote[2785].end 15314.80221875
transcript.pyannote[2786].speaker SPEAKER_35
transcript.pyannote[2786].start 15314.80221875
transcript.pyannote[2786].end 15315.03846875
transcript.pyannote[2787].speaker SPEAKER_36
transcript.pyannote[2787].start 15315.03846875
transcript.pyannote[2787].end 15370.37159375
transcript.pyannote[2788].speaker SPEAKER_00
transcript.pyannote[2788].start 15322.96971875
transcript.pyannote[2788].end 15323.15534375
transcript.pyannote[2789].speaker SPEAKER_36
transcript.pyannote[2789].start 15371.01284375
transcript.pyannote[2789].end 15377.77971875
transcript.pyannote[2790].speaker SPEAKER_36
transcript.pyannote[2790].start 15378.16784375
transcript.pyannote[2790].end 15382.21784375
transcript.pyannote[2791].speaker SPEAKER_36
transcript.pyannote[2791].start 15382.75784375
transcript.pyannote[2791].end 15385.03596875
transcript.pyannote[2792].speaker SPEAKER_36
transcript.pyannote[2792].start 15385.22159375
transcript.pyannote[2792].end 15415.17471875
transcript.pyannote[2793].speaker SPEAKER_05
transcript.pyannote[2793].start 15415.14096875
transcript.pyannote[2793].end 15415.73159375
transcript.pyannote[2794].speaker SPEAKER_05
transcript.pyannote[2794].start 15415.76534375
transcript.pyannote[2794].end 15437.68596875
transcript.pyannote[2795].speaker SPEAKER_36
transcript.pyannote[2795].start 15432.53909375
transcript.pyannote[2795].end 15433.66971875
transcript.pyannote[2796].speaker SPEAKER_05
transcript.pyannote[2796].start 15437.88846875
transcript.pyannote[2796].end 15438.69846875
transcript.pyannote[2797].speaker SPEAKER_36
transcript.pyannote[2797].start 15437.92221875
transcript.pyannote[2797].end 15441.34784375
transcript.pyannote[2798].speaker SPEAKER_05
transcript.pyannote[2798].start 15441.34784375
transcript.pyannote[2798].end 15446.59596875
transcript.pyannote[2799].speaker SPEAKER_05
transcript.pyannote[2799].start 15446.73096875
transcript.pyannote[2799].end 15456.26534375
transcript.pyannote[2800].speaker SPEAKER_36
transcript.pyannote[2800].start 15456.02909375
transcript.pyannote[2800].end 15462.17159375
transcript.pyannote[2801].speaker SPEAKER_36
transcript.pyannote[2801].start 15462.18846875
transcript.pyannote[2801].end 15462.20534375
transcript.pyannote[2802].speaker SPEAKER_35
transcript.pyannote[2802].start 15462.20534375
transcript.pyannote[2802].end 15462.59346875
transcript.pyannote[2803].speaker SPEAKER_36
transcript.pyannote[2803].start 15462.98159375
transcript.pyannote[2803].end 15468.51659375
transcript.pyannote[2804].speaker SPEAKER_36
transcript.pyannote[2804].start 15468.75284375
transcript.pyannote[2804].end 15468.76971875
transcript.pyannote[2805].speaker SPEAKER_35
transcript.pyannote[2805].start 15468.76971875
transcript.pyannote[2805].end 15468.93846875
transcript.pyannote[2806].speaker SPEAKER_36
transcript.pyannote[2806].start 15468.93846875
transcript.pyannote[2806].end 15472.73534375
transcript.pyannote[2807].speaker SPEAKER_35
transcript.pyannote[2807].start 15468.98909375
transcript.pyannote[2807].end 15469.00596875
transcript.pyannote[2808].speaker SPEAKER_36
transcript.pyannote[2808].start 15473.25846875
transcript.pyannote[2808].end 15508.59471875
transcript.pyannote[2809].speaker SPEAKER_00
transcript.pyannote[2809].start 15478.62471875
transcript.pyannote[2809].end 15479.28284375
transcript.pyannote[2810].speaker SPEAKER_35
transcript.pyannote[2810].start 15501.74346875
transcript.pyannote[2810].end 15502.08096875
transcript.pyannote[2811].speaker SPEAKER_36
transcript.pyannote[2811].start 15508.66221875
transcript.pyannote[2811].end 15519.00659375
transcript.pyannote[2812].speaker SPEAKER_35
transcript.pyannote[2812].start 15514.61909375
transcript.pyannote[2812].end 15515.22659375
transcript.pyannote[2813].speaker SPEAKER_05
transcript.pyannote[2813].start 15515.22659375
transcript.pyannote[2813].end 15515.24346875
transcript.pyannote[2814].speaker SPEAKER_05
transcript.pyannote[2814].start 15519.00659375
transcript.pyannote[2814].end 15519.58034375
transcript.pyannote[2815].speaker SPEAKER_36
transcript.pyannote[2815].start 15519.20909375
transcript.pyannote[2815].end 15521.63909375
transcript.pyannote[2816].speaker SPEAKER_05
transcript.pyannote[2816].start 15521.31846875
transcript.pyannote[2816].end 15522.58409375
transcript.pyannote[2817].speaker SPEAKER_36
transcript.pyannote[2817].start 15522.58409375
transcript.pyannote[2817].end 15543.52596875
transcript.pyannote[2818].speaker SPEAKER_36
transcript.pyannote[2818].start 15543.54284375
transcript.pyannote[2818].end 15552.33471875
transcript.pyannote[2819].speaker SPEAKER_35
transcript.pyannote[2819].start 15552.50346875
transcript.pyannote[2819].end 15552.67221875
transcript.pyannote[2820].speaker SPEAKER_05
transcript.pyannote[2820].start 15552.79034375
transcript.pyannote[2820].end 15561.51471875
transcript.pyannote[2821].speaker SPEAKER_05
transcript.pyannote[2821].start 15561.86909375
transcript.pyannote[2821].end 15565.09221875
transcript.pyannote[2822].speaker SPEAKER_36
transcript.pyannote[2822].start 15565.09221875
transcript.pyannote[2822].end 15571.99409375
transcript.pyannote[2823].speaker SPEAKER_36
transcript.pyannote[2823].start 15572.28096875
transcript.pyannote[2823].end 15572.29784375
transcript.pyannote[2824].speaker SPEAKER_35
transcript.pyannote[2824].start 15572.29784375
transcript.pyannote[2824].end 15572.34846875
transcript.pyannote[2825].speaker SPEAKER_36
transcript.pyannote[2825].start 15572.34846875
transcript.pyannote[2825].end 15584.31284375
transcript.pyannote[2826].speaker SPEAKER_35
transcript.pyannote[2826].start 15572.39909375
transcript.pyannote[2826].end 15572.58471875
transcript.pyannote[2827].speaker SPEAKER_06
transcript.pyannote[2827].start 15584.71784375
transcript.pyannote[2827].end 15598.23471875
transcript.pyannote[2828].speaker SPEAKER_36
transcript.pyannote[2828].start 15598.26846875
transcript.pyannote[2828].end 15629.77409375
transcript.pyannote[2829].speaker SPEAKER_35
transcript.pyannote[2829].start 15629.70659375
transcript.pyannote[2829].end 15630.70221875
transcript.pyannote[2830].speaker SPEAKER_36
transcript.pyannote[2830].start 15630.58409375
transcript.pyannote[2830].end 15651.84659375
transcript.pyannote[2831].speaker SPEAKER_05
transcript.pyannote[2831].start 15630.70221875
transcript.pyannote[2831].end 15630.71909375
transcript.pyannote[2832].speaker SPEAKER_35
transcript.pyannote[2832].start 15635.34284375
transcript.pyannote[2832].end 15635.64659375
transcript.pyannote[2833].speaker SPEAKER_35
transcript.pyannote[2833].start 15648.30284375
transcript.pyannote[2833].end 15648.62346875
transcript.pyannote[2834].speaker SPEAKER_07
transcript.pyannote[2834].start 15651.84659375
transcript.pyannote[2834].end 15652.63971875
transcript.pyannote[2835].speaker SPEAKER_26
transcript.pyannote[2835].start 15654.09096875
transcript.pyannote[2835].end 15655.74471875
transcript.pyannote[2836].speaker SPEAKER_26
transcript.pyannote[2836].start 15659.52471875
transcript.pyannote[2836].end 15662.00534375
transcript.pyannote[2837].speaker SPEAKER_26
transcript.pyannote[2837].start 15662.52846875
transcript.pyannote[2837].end 15666.93284375
transcript.pyannote[2838].speaker SPEAKER_26
transcript.pyannote[2838].start 15667.10159375
transcript.pyannote[2838].end 15669.04221875
transcript.pyannote[2839].speaker SPEAKER_26
transcript.pyannote[2839].start 15669.44721875
transcript.pyannote[2839].end 15673.31159375
transcript.pyannote[2840].speaker SPEAKER_26
transcript.pyannote[2840].start 15673.69971875
transcript.pyannote[2840].end 15675.74159375
transcript.pyannote[2841].speaker SPEAKER_26
transcript.pyannote[2841].start 15675.96096875
transcript.pyannote[2841].end 15682.03596875
transcript.pyannote[2842].speaker SPEAKER_28
transcript.pyannote[2842].start 15688.39784375
transcript.pyannote[2842].end 15692.21159375
transcript.pyannote[2843].speaker SPEAKER_28
transcript.pyannote[2843].start 15699.24846875
transcript.pyannote[2843].end 15759.98159375
transcript.pyannote[2844].speaker SPEAKER_05
transcript.pyannote[2844].start 15760.21784375
transcript.pyannote[2844].end 15775.82721875
transcript.pyannote[2845].speaker SPEAKER_28
transcript.pyannote[2845].start 15765.34784375
transcript.pyannote[2845].end 15765.66846875
transcript.pyannote[2846].speaker SPEAKER_28
transcript.pyannote[2846].start 15770.03909375
transcript.pyannote[2846].end 15770.42721875
transcript.pyannote[2847].speaker SPEAKER_28
transcript.pyannote[2847].start 15775.79346875
transcript.pyannote[2847].end 15783.15096875
transcript.pyannote[2848].speaker SPEAKER_28
transcript.pyannote[2848].start 15784.38284375
transcript.pyannote[2848].end 15869.80409375
transcript.pyannote[2849].speaker SPEAKER_05
transcript.pyannote[2849].start 15869.83784375
transcript.pyannote[2849].end 15902.57534375
transcript.pyannote[2850].speaker SPEAKER_28
transcript.pyannote[2850].start 15902.57534375
transcript.pyannote[2850].end 15952.86284375
transcript.pyannote[2851].speaker SPEAKER_28
transcript.pyannote[2851].start 15953.11596875
transcript.pyannote[2851].end 16005.25971875
transcript.pyannote[2852].speaker SPEAKER_05
transcript.pyannote[2852].start 16005.61409375
transcript.pyannote[2852].end 16020.27846875
transcript.pyannote[2853].speaker SPEAKER_28
transcript.pyannote[2853].start 16013.08971875
transcript.pyannote[2853].end 16013.56221875
transcript.pyannote[2854].speaker SPEAKER_28
transcript.pyannote[2854].start 16020.04221875
transcript.pyannote[2854].end 16052.45909375
transcript.pyannote[2855].speaker SPEAKER_26
transcript.pyannote[2855].start 16049.32034375
transcript.pyannote[2855].end 16049.74221875
transcript.pyannote[2856].speaker SPEAKER_26
transcript.pyannote[2856].start 16053.13409375
transcript.pyannote[2856].end 16054.73721875
transcript.pyannote[2857].speaker SPEAKER_26
transcript.pyannote[2857].start 16057.58909375
transcript.pyannote[2857].end 16063.66409375
transcript.pyannote[2858].speaker SPEAKER_26
transcript.pyannote[2858].start 16064.22096875
transcript.pyannote[2858].end 16069.18221875
transcript.pyannote[2859].speaker SPEAKER_26
transcript.pyannote[2859].start 16069.77284375
transcript.pyannote[2859].end 16072.35471875
transcript.pyannote[2860].speaker SPEAKER_26
transcript.pyannote[2860].start 16072.52346875
transcript.pyannote[2860].end 16077.88971875
transcript.pyannote[2861].speaker SPEAKER_26
transcript.pyannote[2861].start 16078.36221875
transcript.pyannote[2861].end 16086.88409375
transcript.pyannote[2862].speaker SPEAKER_26
transcript.pyannote[2862].start 16087.30596875
transcript.pyannote[2862].end 16095.15284375
transcript.pyannote[2863].speaker SPEAKER_26
transcript.pyannote[2863].start 16096.03034375
transcript.pyannote[2863].end 16096.68846875
transcript.pyannote[2864].speaker SPEAKER_35
transcript.pyannote[2864].start 16108.97346875
transcript.pyannote[2864].end 16109.85096875
transcript.pyannote[2865].speaker SPEAKER_35
transcript.pyannote[2865].start 16109.93534375
transcript.pyannote[2865].end 16110.07034375
transcript.whisperx[0].start 1742.346
transcript.whisperx[0].end 1750.074
transcript.whisperx[0].text 好我們現在開始開會出席委員已主法定人數現在開始開會那請議事人員宣讀上次會議議事錄
transcript.whisperx[1].start 1753.106
transcript.whisperx[1].end 1776.698
transcript.whisperx[1].text 立法院第11屆第2會期交通委員會第8次全體委員會議.事由.時間113年11月4日星期一上午9時至下午1時43分.點本院紅樓201會議室出席委員李坤哲等14人.列席委員蔓玉珍等28人.列席官員交通部部長陳士凱等.主席魯昭吉委員明哲報告四項宣讀上次會議一事錄決定一事錄確定
transcript.whisperx[2].start 1777.93
transcript.whisperx[2].end 1802.284
transcript.whisperx[2].text 一、邀請交通部部長陳世凱等進行專題報告並備諮詢二、邀請交通部觀光署署長等進行專題報告並備諮詢本日會議由交通部部長陳世凱等報告後繼由委員李坤哲等25人提出諮詢均經交通部部長陳世凱及相關人員分別予以答覆決定一、報告及詢答完畢二為林倩起等二人所提書面諮詢
transcript.whisperx[3].start 1803.086
transcript.whisperx[3].end 1827.689
transcript.whisperx[3].text 均列入紀錄並刊登公報。三、委員於質詢中要求提供相關書面資料或未及答覆部分。請相關機關建樹以書面答覆。散會宣布完畢。好,謝謝。那我們現在先介紹列席人員。首先介紹數位發展部黃燕南部長。謝謝。還有我們數位策略司蔡壽幹司長。
transcript.whisperx[4].start 1830.285
transcript.whisperx[4].end 1838.453
transcript.whisperx[4].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[5].start 1843.559
transcript.whisperx[5].end 1850.941
transcript.whisperx[5].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算案關於數位發展部資通安全署單位預算
transcript.whisperx[6].start 1871.228
transcript.whisperx[6].end 1898.084
transcript.whisperx[6].text 數位產業署代理署長林俊秀國家資通安全研究院吳啟文副院長行政院主計總署公務預算處陳台偉科長本次進行資通安全署和數位產業署單位預算審查首先邀請數位發展部黃燕南部長報告
transcript.whisperx[7].start 1908.655
transcript.whisperx[7].end 1923.704
transcript.whisperx[7].text 主席、各位委員大家好今天應邀列席委員會審查本部資通安全署跟數位產業署114年的單位預算深感榮幸感謝各位委員對本部各項業務的支持和指教
transcript.whisperx[8].start 1924.665
transcript.whisperx[8].end 1952.424
transcript.whisperx[8].text 本部會扣合總統國家希望工程政見所提出的打造台灣成為智慧科技島的數位政策以及建構以人為本的數位新社會提出數位發展三支箭作為未來施政的重點聚焦於積極強化打造強化數位韌性發展數位經濟同時兼顧防弊和新力積極促進全民數位轉型
transcript.whisperx[9].start 1954.625
transcript.whisperx[9].end 1959.769
transcript.whisperx[9].text 以下請梁署就114年施政計畫跟預算編列請行進行報告謝謝
transcript.whisperx[10].start 1976.004
transcript.whisperx[10].end 2001.144
transcript.whisperx[10].text 主席、各位委員今天應邀來報告本署的114年施政計畫重點跟預算編列情形非常的榮幸首先先感謝各位委員給予本署業務上的指導跟支持讓我們的各項施政可以順利推展僅次上最高的謝程以上僅就113年預算執行情形跟114年度的施政重點預算編列情形來分別報告
transcript.whisperx[11].start 2003.151
transcript.whisperx[11].end 2017.958
transcript.whisperx[11].text 一百一十三年度的預算執行我們分成稅入跟稅出那稅入我們有達標而且超標主要是因為我們的職能考試來應考的人比較多所以我們職能考試的那個收入負策評量的收入變多
transcript.whisperx[12].start 2019.139
transcript.whisperx[12].end 2026.842
transcript.whisperx[12].text 二、審查113年度中央政府總預算案關於數位發展部資通安全署單位預算案關於數位發展部資通案件關於數位發展部資通案件關於數位發展部資通案件
transcript.whisperx[13].start 2048.729
transcript.whisperx[13].end 2066.271
transcript.whisperx[13].text 自動系統的基礎架構還有資安威脅情勢分析的案子整個加進來之後我們整個的執行率可以到91.38那114年的市政重點我們有以下的重點第一個是推動自動安全法來完善我們的法規實務的運作
transcript.whisperx[14].start 2067.552
transcript.whisperx[14].end 2069.613
transcript.whisperx[14].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[15].start 2083.5
transcript.whisperx[15].end 2100.433
transcript.whisperx[15].text 第二點是我們會推動國家自動安全發展方案來提高整體的那個資安的整體發展策略的完備性然後來建立國家的資安聯防體系也會強化關鍵基礎設施的那個防護能量來
transcript.whisperx[16].start 2102.267
transcript.whisperx[16].end 2108.531
transcript.whisperx[16].text 降低資安風險那我們也會把防護能量擴增到民間單位因為關鍵基礎設施其實有蠻多在民間單位然後我們也會強化公司協防來增加我國整體的資安防護的韌性那第三部分是我們有做那個資安的攬柴跟訓練賠利的工作那這個工作我們會加強公司協力來提升資安課程的開發跟培訓的量能而且也會辦
transcript.whisperx[17].start 2130.444
transcript.whisperx[17].end 2132.525
transcript.whisperx[17].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算
transcript.whisperx[18].start 2149.07
transcript.whisperx[18].end 2150.291
transcript.whisperx[18].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位
transcript.whisperx[19].start 2168.146
transcript.whisperx[19].end 2168.166
transcript.whisperx[19].text 委員會議
transcript.whisperx[20].start 2190.097
transcript.whisperx[20].end 2218.052
transcript.whisperx[20].text 包含綜合規劃我們有推動國家資通安全管理方案也會推動那個資安聯防的生態系那在通報業務方面我們其實是加強整個資安事件的應儲跟情資的分享還有資安建設的經費輔導培訓的部分我們會辦理那個資通安全的人才培訓還有只能轉換等等的費用那集合的部分因為在明年度我們會增加集合的場次也會擴增到
transcript.whisperx[21].start 2219.99
transcript.whisperx[21].end 2243.29
transcript.whisperx[21].text 關鍵基礎設施跟特定非公務機關還有其他的地方政府等所以我們也會全面推廣就是推加強我們資安的那個檢視跟全面建置我們的集合分析的環境也會加強我們的那個分析的能量然後在法規部分我們會推動資通安全法也會增加國際的合作
transcript.whisperx[22].start 2244.861
transcript.whisperx[22].end 2255.786
transcript.whisperx[22].text 那本署為了推動國家資通安全發展政策還有推展資安主動防禦機制跟建立資安聯防集合人才培育的的機制來強化我國的整體的資安防護韌性114年的施政計劃其實是已經是依據我們真實的狀態去橫著
transcript.whisperx[23].start 2267.915
transcript.whisperx[23].end 2271.216
transcript.whisperx[23].text 主席各位委員大家好今天應邀列席貴委員會報告本署114年施政重點
transcript.whisperx[24].start 2294.105
transcript.whisperx[24].end 2310.082
transcript.whisperx[24].text 以及預算的編列請請深感榮幸首先感謝各位委員對本署在過去在各項業務上的支持跟指教以下就113年預算的執行情形以及114年的施政重點以及預算編列來跟各位委員會來報告
transcript.whisperx[25].start 2311.624
transcript.whisperx[25].end 2332.446
transcript.whisperx[25].text 第一個是113年預算執行期在稅務的部分113年稅務預算是兩萬一千元那到十月底為止我們累計分配的預算數是一萬八千元累計執行數是八十一萬五千元當然執行率就超過不過主要是專戶的存款利息的收入
transcript.whisperx[26].start 2333.697
transcript.whisperx[26].end 2339.339
transcript.whisperx[26].text 那稅出的部分是113年稅出的預算是35億5000多萬元到10月底為止累計分配的預算數是31億8000多萬元累計執行數是31億800多萬元執行率是97.71%
transcript.whisperx[27].start 2351.557
transcript.whisperx[27].end 2371.649
transcript.whisperx[27].text 再來是有關114年施政重點的部分本組依據部長規劃的三支箭就是打炸強化數位韌性以及發展數位經濟作為施政主軸並且推動各項措施來加速各行各業的以及社會的數位轉型以下類數
transcript.whisperx[28].start 2372.85
transcript.whisperx[28].end 2397.742
transcript.whisperx[28].text 第一個是厚植軟體基板建設優化政府的數位採購機制推動軟體及資訊服務業的發展並且協助產業來進行數位轉型我們會輔導資服業來轉型為雲服務而促進中小企業透過雲服務來開創一些新的商模以及新的市場我們會發展前瞻的數位科技培育跨領域的人才及國際合作交流
transcript.whisperx[29].start 2398.522
transcript.whisperx[29].end 2423.3
transcript.whisperx[29].text 我們會鼓勵業者開發數位創新應用並且積極促進商轉以及開拓商機並且透過數位科技的導入帶動各行各業數位能力的提升二、推動次世代通訊跨域的應用我們會加速業者提升5G專屏專網的整合技術並且與業界共同開發具有商業價值的應用服務
transcript.whisperx[30].start 2424.241
transcript.whisperx[30].end 2435.649
transcript.whisperx[30].text 透過數位內容軟體服務以及通訊設備的垂直整合協同網通業者、應用業者以及系統整合業者共同進行場域的深化試煉來發展數位經濟產業協助業者進行數位轉型
transcript.whisperx[31].start 2439.918
transcript.whisperx[31].end 2469.35
transcript.whisperx[31].text 三、以資料創新為核心發展多元資料的普惠工具。護導業界投入人工智慧創新的應用以及加速創新產品的商轉落地建立與國際接軌的AI的認驗證的體系來加速可信任AI的發展並且培育AI的人才擴大AI產業的應用促進產業AI化及AI產業化的目標我們會積極透過這個資工訓科技的應用來協助公司來打仗
transcript.whisperx[32].start 2469.77
transcript.whisperx[32].end 2475.393
transcript.whisperx[32].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算:一、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算:完整會議
transcript.whisperx[33].start 2490.18
transcript.whisperx[33].end 2494.022
transcript.whisperx[33].text 在深化資安的關鍵技術的研發並且促進資安產業的發展。我們會推動精明通用的這個資安的關鍵技術以及無人機的資安檢測並且促進國防資安的國產化另外我們會協助產業來強化通信基礎建設
transcript.whisperx[34].start 2507.91
transcript.whisperx[34].end 2534.348
transcript.whisperx[34].text 目聯網及公共等資通訊的安全來鞏固我們在全世界供應鏈的關鍵地位我們會以系統整合策略、跨域服務稱與國際的數位產業的協作推動臺灣成為數位技術數位科技解決方案的供應樞紐加速我國智慧解決方案的對外展示以及拓銷並且協助地方運用數位科技來發展創新性共通性的數位公共服務輔導其參與國際評評比如說ICF
transcript.whisperx[35].start 2537.822
transcript.whisperx[35].end 2564.67
transcript.whisperx[35].text 並提升我國自衛城市的國際年間度在114年的預算的編列請指首先是稅率的部分114年稅率編列是八十萬兩千元較上年度預算增加了七十八萬元那主要就是剛說過的專務存款的利息收入在稅出的部分114年稅出的預算編列四十五億三千多萬元較上年度的三十五億五千多萬增加九億元
transcript.whisperx[36].start 2566.211
transcript.whisperx[36].end 2593.669
transcript.whisperx[36].text 各業務的編列情形如下首先是一般行政我們編了兩億六千多萬元是因為本署的人員的維持會以及基本的行政的工作維持等等較上年度增加一千多萬元主要是減類我們在華光特二的一個先期規劃的368萬元但是我們增列的我們因為打砸增加13個13個那個元額的人事會以及員工的薪資
transcript.whisperx[37].start 2595.472
transcript.whisperx[37].end 2618.592
transcript.whisperx[37].text 再來是促進數位創新動能轉型升級我們編列了42億6千多萬較上年度32億增加9億多主要是包括底下那第一個是在資通訊的數位升級的金額我們編列17億較上年度減列了高齡的這個1億4千多萬增列了我們的跨域軟體基板的1億9千多萬
transcript.whisperx[38].start 2619.292
transcript.whisperx[38].end 2644.846
transcript.whisperx[38].text 另外在策進數位跨域應用及平台服務經費的這個項目底下我們編列了25億9千多萬叫上到去年度的增加了9億多萬主要是第一個是我們要推展這個AI包括深層式AI以及建北式AI這個是對台灣未來是相當重要的所以我們編列了21億叫上年度增加7億多元然後第二個我們持續會
transcript.whisperx[39].start 2646.167
transcript.whisperx[39].end 2648.93
transcript.whisperx[39].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[40].start 2664.203
transcript.whisperx[40].end 2685.554
transcript.whisperx[40].text 結語的部分本屬以提升產業供應鏈與全民數位韌性整合與學導各部位的資源並且從推動社會共榮加速產業轉型強化應變韌性的變相來強化數位114年預算西佩爾整體政策請請各位委員能夠會議支持跟指教最後敬祝各位身體健康萬事如意謝謝好謝謝林代理署長的報告
transcript.whisperx[41].start 2690.238
transcript.whisperx[41].end 2704.63
transcript.whisperx[41].text 現在補充介紹在場委員首先歡迎林佩祥委員接下來介紹李昆澤委員我們現在先來確定上次會議議事錄請問各位委員對議事錄有沒有意見沒有意見議事錄確定
transcript.whisperx[42].start 2711.741
transcript.whisperx[42].end 2737.275
transcript.whisperx[42].text 現在進行詢答先宣告以下事項詢答時間出席委員6加2分鐘列席委員4加1分鐘委員發言登記於10點30分截止各委員如有提案請於10點前提出以便議事人員會診暫定10點30分休息10分鐘中午原則上不休息好那現在請登記第一位委員林沛翔委員發言
transcript.whisperx[43].start 2751.462
transcript.whisperx[43].end 2776.219
transcript.whisperx[43].text 好謝謝主席有請黃部長黃部長其實我們都很清楚我們知道說速發部算是針對打詐的第一線那請問你知道到目前為止到今年11月到目前為止每一個月我們國家被打詐金額是多少
transcript.whisperx[44].start 2776.741
transcript.whisperx[44].end 2798.527
transcript.whisperx[44].text 每天大概3到6億嘛大概100億對所以每個月所以現在目前已經超過1000億那我在這邊看到的預算在這個應該是知安那個應該是那個數產署的另外一個裡面有一個有關是今年對老實講我覺得這個編列預算我總覺得有點怪怪的我們今年只編了3億來去針對數位的這個數位的那個智慧防詐
transcript.whisperx[45].start 2803.968
transcript.whisperx[45].end 2808.129
transcript.whisperx[45].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算:一、審查114年度中央政府總預算:完整會議
transcript.whisperx[46].start 2826.855
transcript.whisperx[46].end 2826.875
transcript.whisperx[46].text 委員會議
transcript.whisperx[47].start 2847.251
transcript.whisperx[47].end 2871.512
transcript.whisperx[47].text 因為我們當初期待部長過來就是因為部長是業界的人對吧那我其實是在看整個預算的時候我發現一些奇怪的地方請問一下部長以業界的角度來看一個所謂的Email Emphasis Threat Detection Platform也就是所謂的這個電郵跟惡意威脅的建制平台請問在業界知道這個平台要多少錢
transcript.whisperx[48].start 2874.315
transcript.whisperx[48].end 2874.675
transcript.whisperx[48].text 拜託請問兩年3800萬之後
transcript.whisperx[49].start 2903.794
transcript.whisperx[49].end 2915.117
transcript.whisperx[49].text 總共兩年花了我們納稅前7600萬那請問他的成效在哪裡?請問資安署吧請問資安署花了7600萬之後成效在哪裡?對於他這個EmailEmail and Visual Threat Detection Platform
transcript.whisperx[50].start 2920.979
transcript.whisperx[50].end 2934.989
transcript.whisperx[50].text 這就是所謂的電郵跟惡意威脅的那個溝通平台請問你花了七千六百萬那我想請問說當部長講說其實幾百萬就有東西為什麼花七千六百萬那成效在哪裡那個包括那只是軟體還有維運維運我們剛剛沒有講維運的費用
transcript.whisperx[51].start 2938.131
transcript.whisperx[51].end 2941.472
transcript.whisperx[51].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[52].start 2956.016
transcript.whisperx[52].end 2973.23
transcript.whisperx[52].text 我只是...而且其他的還有其他什麼資...我記得我那時候看到很多平台欸那這些平台到底發揮了什麼功用呢每一個都是1800萬、3000萬、3000萬、2000萬的這個平台至少4到5個平台對吧你們...對吧我只是...這個我需要...我都需要細部資料喔
transcript.whisperx[53].start 2973.971
transcript.whisperx[53].end 2986.125
transcript.whisperx[53].text 因為既然我看到我們都覺得很奇怪而且甚至來講說為什麼這個所謂的這個整體政府資通安全防禦技術即系統韌性強化經費
transcript.whisperx[54].start 2989.448
transcript.whisperx[54].end 3015.684
transcript.whisperx[54].text 總共14億今年就編了將近7億我記得沒有錯今年就編了將近7億那可是我直接進去看裡面那個預算書的時候好短啊三句話13億就不見了請問一下到底你們做什麼事情呢而且說給政府來做活用然後用宿外科技來解決重大社會事件要花14億對吧是你們自己寫的啊你們把那本書拿出來自己編的預算怎麼不知道呢
transcript.whisperx[55].start 3018.277
transcript.whisperx[55].end 3037.663
transcript.whisperx[55].text 我不會預設立想說你們亂編但是你們這些到底講些什麼東西部長你知道你自己下面編的這14億到什麼地方去了嗎委員你們現在講的是哪一個預算他們說他們沒有看到這一筆沒有資通安全署你們上面自己也有寫資通安全署上面整體政府資通安全防疫技術暨系統韌性強化強化經費總經費將近14億分4年辦理
transcript.whisperx[56].start 3042.645
transcript.whisperx[56].end 3052.567
transcript.whisperx[56].text 今年就要負責說負責6億9500萬這是你們自己寫的在上面啊那我直接看進去裡面預算書的時候裡面只給我五六句
transcript.whisperx[57].start 3054.505
transcript.whisperx[57].end 3074.232
transcript.whisperx[57].text 部長我很好奇我們國家納稅錢就是隨隨便便這樣編出來的啊報告委員基本上我沒有看到14億的這個這樣你們自己寫的耶這是你們先來報你們自己都不認帳啊
transcript.whisperx[58].start 3078.498
transcript.whisperx[58].end 3106.548
transcript.whisperx[58].text 我個人我從來不會預設立場但是你們這邊自己寫說14億資通安全署負責6億9591萬那我就很好奇說你們這個東西寫的說是用數位科技去解決重大社會事件然後講的說用什麼要符合政府的彈性那這到底是怎麼回事
transcript.whisperx[59].start 3107.95
transcript.whisperx[59].end 3129.18
transcript.whisperx[59].text 拜託部長如果連你都不知道的時候你們如果第一時間你們今天來這邊是來這邊就是來來幹嘛的報告委員這一筆預算是我們提的計畫是除了那個單數之外還有其他部會我們一起做的聯訪提的那個計畫預算那你們在幹嘛幾句你可以算得出來吧很短那七句就13億就不見了那為什麼會怎麼會有這種東西呢任性兩個字就代表13億嗎
transcript.whisperx[60].start 3138.431
transcript.whisperx[60].end 3152.736
transcript.whisperx[60].text 報告委員其實這個是所有的部會在4年要執行的預算並不是全部資安署資安署在整體的預算是7億在14年什麼叫做用數位科技解決社會重大事件
transcript.whisperx[61].start 3153.556
transcript.whisperx[61].end 3173.309
transcript.whisperx[61].text 報告委員我先跟您簡單報告一下資安署114年要做的事情第一個是對不起我是針對這個預算而且老實講資安署是因為你們編的資訊我們在看的時候覺得很納悶這錢怎麼會這樣子做包括剛剛講的這些還有資訊人才資訊人才交流流通平台1800萬
transcript.whisperx[62].start 3176.291
transcript.whisperx[62].end 3203.332
transcript.whisperx[62].text 就在你剛剛我剛剛講這個上面是報告委員這個我想請問這些平台的功用到底最後在哪裡因為我們當我們在看整個預算的時候我只能講兩個字疑惑而且我老實講我是我是當初去看的時候是以不預設立場情況去看的可是當我跟那些專業人士去討論的時候發覺說這幾筆預算好奇怪甚至如果說就拿直接上面來講說辦理國家資通安全政策3億對吧
transcript.whisperx[63].start 3205.285
transcript.whisperx[63].end 3229.651
transcript.whisperx[63].text 那3億那個數字難怪人家說一句話說要看細節魔鬼在細節裡面可是會覺得說哇這到底是怎麼回事呢我覺得我會我會請我辦公室每一筆每一筆我都需要詳細說每一筆每一筆我都需要資料因為我說真的我如果說動不動13億就7億就不見了那我會絕無法接受
transcript.whisperx[64].start 3230.571
transcript.whisperx[64].end 3231.912
transcript.whisperx[64].text 我今天老實講,部長
transcript.whisperx[65].start 3252.822
transcript.whisperx[65].end 3278.77
transcript.whisperx[65].text 你如果你是我在這個位置上面你看到這筆錢這樣亂用的時候你會覺得說我們國家的納稅及我們國家的財政如果說困難一天到晚取債是為了些什麼那我要請部長請數位發展部提供各項計畫細部的計畫的整表沒問題我們會說明但是那個剛剛委員看到很多事全部部會加起來的資安預算所以這個我們再提細部說明好謝謝
transcript.whisperx[66].start 3282.995
transcript.whisperx[66].end 3288.439
transcript.whisperx[66].text 好謝謝林佩祥委員接下來邀請林國成委員發言好謝謝主席請黃部長請黃部長治安署署長還有產業署林代理署長林委員早
transcript.whisperx[67].start 3313.757
transcript.whisperx[67].end 3333.688
transcript.whisperx[67].text 委員長好部長我要特別剛才林佩祥委員阿在做詢答的時候我建議阿我建議所有要說明的就說明不要簡單跟我們報告因為我們要很認真的來做執行
transcript.whisperx[68].start 3334.548
transcript.whisperx[68].end 3363.049
transcript.whisperx[68].text 但是你簡單跟我們報告這個是對院會非常不尊重的用意這點我想等一下備詢的官員通通不要對我們簡單的報告要很真心的很認真的來回答問題如果用簡單的報告那你的意思叫我們也是簡單來審一審喔所以部長這個我是給你建議因為數位部委剛成立不久
transcript.whisperx[69].start 3363.979
transcript.whisperx[69].end 3381.308
transcript.whisperx[69].text 其實任何編列預算因為今天主席拍這個測程除了詢答之外也要了解你們編列預算整個過程我還是建議我還是建議主計人員隨時要在旁邊部長
transcript.whisperx[70].start 3382.489
transcript.whisperx[70].end 3410.355
transcript.whisperx[70].text 可能是瞭解大問題但是小細節主計人員如何編應該他會比較熟悉這點我是一個小小的建議來第一個部長我相信啊你管不了這個第一個資安署對於員工編列預算去年跟今年差一千多萬
transcript.whisperx[71].start 3412.601
transcript.whisperx[71].end 3427.053
transcript.whisperx[71].text 這個原因在哪邊來回答一下來我請那個署長報告委員請我跟你講人眼一樣一百多人但是這個部分為什麼少一千多萬
transcript.whisperx[72].start 3428.018
transcript.whisperx[72].end 3455.632
transcript.whisperx[72].text 是,我們其實是配合部的主計的要求,那部的主計是說因為曾屬的人﹗沒有啦,那一千多萬是什麼啦他是說曾屬的員工有些時候常常被外面給挖走嘛,所以就是不是always都有人,所以部的主計是信我們就是不用滿編這樣子好來,主計的議員來,他編這個預算是少了一千多萬
transcript.whisperx[73].start 3457.782
transcript.whisperx[73].end 3480.023
transcript.whisperx[73].text 跟委員報告齁那因為人事事案你不要跟我簡單報告齁認真的報告好不好是謝謝那我們按照他的資安署的編制預算顏額那逐項去逐顏額去算按照他每一位都有他的職等職務類等那第二個就是說我們機關成立了兩年度
transcript.whisperx[74].start 3480.043
transcript.whisperx[74].end 3481.764
transcript.whisperx[74].text 來部長你聽的我告訴你們這裡面就是什麼兩種
transcript.whisperx[75].start 3508.803
transcript.whisperx[75].end 3532.55
transcript.whisperx[75].text 一就是加班費二就是獎金我就覺得很奇怪啊我們比對起來是這兩項欸你們人緣都一樣欸人緣都一樣欸但是我們比對起來確確實實就是加班費跟獎金的部分是大幅三減
transcript.whisperx[76].start 3533.854
transcript.whisperx[76].end 3562.096
transcript.whisperx[76].text 我的意思你們當然可以刪減但是我們身為民意代表我相信我們所有的立法委員一定是主張該刪的刪不該刪的不要刪但是不能回了其他單位但是授了所有的員工所以這點部長我坦白跟你講我們發現這一千多萬就是加班會嘛
transcript.whisperx[77].start 3563.517
transcript.whisperx[77].end 3590.989
transcript.whisperx[77].text 還有一個就是獎金嘛所以我們比對出來是這樣如果你們認為這不是這樣那為什麼今天我會提出這個問題讓部長瞭解你們自己要去看一看你用挪作我們的立場很簡單立法院的立場該用的用不該用的刪但是這些東西是我們職工的加班費跟他的獎金我認為這沒有必要欸
transcript.whisperx[78].start 3592.149
transcript.whisperx[78].end 3609.178
transcript.whisperx[78].text 為什麼因為這署裡面現在要面臨的挑戰是打詐的問題要不要加班你們只有欸聘僱人員三十幾個編列總共是一百多個人欸要加班欸你都不給他加班費啊你是要叫人家啦
transcript.whisperx[79].start 3611.254
transcript.whisperx[79].end 3638.84
transcript.whisperx[79].text 這是一個勞務的刻薄所以保定我給你建議這個部分你們好好稍微去調適一下我們不是針對預算是希望你們不要對這些職工對這些公務人員對以加班會跟獎金的苛刻我的理由很簡單保定我是歡迎這些給你啊這個也是代表我們所有的立法委員是有在看你們的預算的
transcript.whisperx[80].start 3639.71
transcript.whisperx[80].end 3653.839
transcript.whisperx[80].text 是有在看你們的預算的雖然一千多萬我們也可以打pass過去可是最起碼我們的立場是替所有的公務人員所有的聘僱人員他的加班費獎金不能少
transcript.whisperx[81].start 3655.217
transcript.whisperx[81].end 3676.564
transcript.whisperx[81].text 為什麼這個部分我建議部長好好去瞭解一下謝謝委員那主席好來謝謝委員那也拜託委員能夠支持我們的預算那這個有關於員工的法律義務我們絕對不會去刻口那在執行的時候我們也會請治安署的調配
transcript.whisperx[82].start 3678.044
transcript.whisperx[82].end 3697.075
transcript.whisperx[82].text 主席人員我跟你講我時間有限啦我還有議題啦我要拜託這個部分不要嘴巴這樣講那我抓出來就是你的加班費跟獎金是減少的其他通通沒有減少針對職工跟公務人員的苛刻這一點我們是不贊同的
transcript.whisperx[83].start 3697.835
transcript.whisperx[83].end 3725.462
transcript.whisperx[83].text 當然你們編列了預算我們只能刪可是這個刪下去怎麼辦呢這個我希望部長你們要亡羊補牢可以受了自己不要受了我們的職工這一點我認為你們以後責任很重大這個部分加班是勢必的因為你們面對這些新的挑戰你們說不加班我才不相信
transcript.whisperx[84].start 3726.562
transcript.whisperx[84].end 3731.588
transcript.whisperx[84].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算案關於數位發展部資通安全署單位預算案關於數位發展部資通安全署
transcript.whisperx[85].start 3747.031
transcript.whisperx[85].end 3763.139
transcript.whisperx[85].text 有沒有被盜用?報告委員沒有但是我請市長做個說明簡單簡單簡單是沒有報告委員我們知道這個消息之後我們就有去查包括我們整個平台發送簡訊的狀況還有請電信業者幫我們查都沒有找到冒用的情況
transcript.whisperx[86].start 3763.999
transcript.whisperx[86].end 3782.158
transcript.whisperx[86].text 有喔高雄有一件喔欸我們召回在這裡高雄有一件你們這一件查了怎麼樣這個刑事檢查局現在在查啦那他們出過的那你說沒有欸對他們出過的想法是說那個是那個可能是偉茂的一個基地台是啦
transcript.whisperx[87].start 3783.959
transcript.whisperx[87].end 3809.129
transcript.whisperx[87].text 那你們不是在宣導111短碼簡信是政府的東西是不會被騙結果你知道嗎騙的人是用你們111欸下去是詐騙集團連結欸那也沒有關係要查清楚好不好對啦不要黃部長的名字被人家去盜用那這個欸這個111就是你的招牌欸
transcript.whisperx[88].start 3810.349
transcript.whisperx[88].end 3810.929
transcript.whisperx[88].text 壯庫供給這個你知道嗎?
transcript.whisperx[89].start 3840.953
transcript.whisperx[89].end 3841.413
transcript.whisperx[89].text 撞庫供給
transcript.whisperx[90].start 3861.199
transcript.whisperx[90].end 3864.74
transcript.whisperx[90].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[91].start 3879.426
transcript.whisperx[91].end 3905.274
transcript.whisperx[91].text 我希望部長要去責成現在的壯庫供給是最新穎的東西所以拜託國定JDI資安署或什麼東西要全部動員去破解他這些不能讓讓讓最後一個就是我們的媒體媒體溢價化
transcript.whisperx[92].start 3906.345
transcript.whisperx[92].end 3909.751
transcript.whisperx[92].text 媒體議價法到底你們現在因為公聽會我們開過喔
transcript.whisperx[93].start 3913.621
transcript.whisperx[93].end 3936.076
transcript.whisperx[93].text 你曾經有一段時間也要來跟我溝通這個你能不能現在做的情形簡單二要跟我說明現在做到什麼時候我們現在就是這個需要跨部會協調所以我們現在就是在在行政院不是啦普通我知道啦你跨部會但是你們總是要有一個輪廓嘛那到最後才行政院去跨部會嘛
transcript.whisperx[94].start 3937.657
transcript.whisperx[94].end 3939.058
transcript.whisperx[94].text 接下來邀請李坤哲委員發言
transcript.whisperx[95].start 3971.078
transcript.whisperx[95].end 3994.531
transcript.whisperx[95].text 謝謝主席請一下黃部長還有數位產業署林俊秀代理署長還有林代理署長委員長部長好我們臺灣的這種遊戲產業它的發展性的空間非常的大那如果我們看到PwC就是全球娛樂及媒體業的這樣的一個展望報告之中
transcript.whisperx[96].start 3995.211
transcript.whisperx[96].end 3999.816
transcript.whisperx[96].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。二、審查114年度中央政府總預算:完整會議二、審查114年度中央政府總預算:完整會議
transcript.whisperx[97].start 4014.91
transcript.whisperx[97].end 4041.485
transcript.whisperx[97].text 遊戲產業的市場調查公司NewRule的這個調查報告2024年全球遊戲產業的產值大概是6兆910億元那2027年會增加到6兆9217億那台灣是數位的先進國家啦那我們在全球的市場所佔的比例不到3%為什麼是我們的
transcript.whisperx[98].start 4043.223
transcript.whisperx[98].end 4065.235
transcript.whisperx[98].text 能力不足還是政策錯誤還是預算不夠來請說明一下那個報告委員那個遊戲產業的確是一個很大的一個市場那的確這個我們都很重視那素產署本來就有一些Program在補助遊戲業者那當然這個我個人認為就是我們現在
transcript.whisperx[99].start 4066.676
transcript.whisperx[99].end 4067.356
transcript.whisperx[99].text 委員會主席委員會主席委員會主席
transcript.whisperx[100].start 4087.299
transcript.whisperx[100].end 4110.295
transcript.whisperx[100].text 不管是在相關的遊戲產業或是相關的應用方面我們不管是我們的科技、我們的人力、我們的數值其實都在世界來說都是名列世界前茅的但是我們的數位的這樣一個電競遊戲這樣一個產業它是最沒有國界的一個產業但是我們占不到全世界的3%來來請蘇亮簡單說明一下
transcript.whisperx[101].start 4113.872
transcript.whisperx[101].end 4130.537
transcript.whisperx[101].text 我希望台灣人能夠玩台灣的遊戲所以我們在109年開始就補助獨立遊戲因為這個他們都是很有創意而且很有製作能力的我們到目前109年每年補助8到10家的話現在應該有大概7到8個已經在發行
transcript.whisperx[102].start 4132.077
transcript.whisperx[102].end 4146.904
transcript.whisperx[102].text 市長我簡單跟你說明一下2021年行政院就開始推行智慧國家方案就是透過獎勵跟補助的方式來讓這些整個國家的這些數位產業電競遊戲這些都能夠朝向這樣一個重要的無國界的產業能夠有實力的一個發展
transcript.whisperx[103].start 4155.087
transcript.whisperx[103].end 4179.987
transcript.whisperx[103].text 但是我們來看數位部的補助其實是不夠的杯水車薪是沒有辦法建立良性的循環我們來看目前遊戲的製作成本手機遊戲大概是500到800萬單機遊戲大概是400到1000萬那大型的主機遊戲它可能要高達上億以上了署長應該很清楚但是我們數產署的獨立遊戲開發獎勵暨產品化的加值計畫
transcript.whisperx[104].start 4185.663
transcript.whisperx[104].end 4194.709
transcript.whisperx[104].text 從2020年到2024年5年之間總共補助了43款的遊戲平均每款補助180萬元這樣要怎麼做數位電競遊戲的這樣的一個產業推廣呢 來說明一下
transcript.whisperx[105].start 4204.452
transcript.whisperx[105].end 4204.472
transcript.whisperx[105].text 委員會議
transcript.whisperx[106].start 4225.333
transcript.whisperx[106].end 4251.971
transcript.whisperx[106].text 你現在號稱有100億但是我們看到我們整體數位部的這個預算編列這種創新軟體才編了大概1億9千萬今年喔明年是更少1億7千萬你看看你這個補助每款才補助180萬元而已那這個獎勵沒力啦沒力嘛你就預算也不夠然後誠意也不足
transcript.whisperx[107].start 4253.572
transcript.whisperx[107].end 4274.923
transcript.whisperx[107].text 我們來看這個遊戲產業是可以推動世界來認識台灣我們有好的文化實力你看台灣國產遊戲2017年的這個返校那以台灣白色恐怖時期來做背景創作那我們看到這個玩家統計國外的玩家超過9成而且可以延伸更多的影視作品
transcript.whisperx[108].start 4277.12
transcript.whisperx[108].end 4305.211
transcript.whisperx[108].text 遊戲產業我們來看世界各國也都改編很多影視的作品瑪莉歐、神奇寶貝、惡靈古堡之類的古墓奇兵、憤怒鳥還有文化特色的遊戲不管是信長系列、對馬、戰鬼、人中之龍、戰神、刺客教條這不只是電競不只是數位的產業它還是一種推動文化宣傳一個重要的途徑來簡單說明一下我們做了什麼
transcript.whisperx[109].start 4309.426
transcript.whisperx[109].end 4331.243
transcript.whisperx[109].text 我們目前也希望他把臺灣的這個文化的元素融入他但是做世界的發行所以這個是我們我們現在也在找發行商報告我來具體建議啦我剛才都說你們這個遊戲才補助180萬做一個小型的遊戲都要400萬以上我們的這個補助啊真的是沒有辦法去推動這麼重要的
transcript.whisperx[110].start 4331.903
transcript.whisperx[110].end 4332.023
transcript.whisperx[110].text 委員會主席
transcript.whisperx[111].start 4349.046
transcript.whisperx[111].end 4374.197
transcript.whisperx[111].text 我具體的建議部長應該要爭取預算要增加補助金額及業者的名額第二在原有的補助基礎之上要舉辦玩家的票選期待遊戲的活動那得獎遊戲列為增加補助名額以及增加獎助的金額然後增加互動性同時也要促進遊戲的曝光跟文化的宣傳
transcript.whisperx[112].start 4375.177
transcript.whisperx[112].end 4389.45
transcript.whisperx[112].text 另外要建立講注政策進入良性的循環就是保留既有的講注政策之外應該要研擬未來來成立發展基金以投資的方式來輔助業者進行遊戲開發並且將收益滾入基金持續來擴大投資的規模來促進臺灣遊戲及數位應用的產業發展部長那你簡單說明一下
transcript.whisperx[113].start 4401.882
transcript.whisperx[113].end 4409.593
transcript.whisperx[113].text 謝謝委員建議我覺得這個建議都很好那我想這個我們再回去看怎麼樣在我們的那個這個遊戲的這個一個計畫裡面去做調整好那現在我們還有一個重要的問題就台灣的開發遊戲啊
transcript.whisperx[114].start 4417.364
transcript.whisperx[114].end 4439.793
transcript.whisperx[114].text 但是收益卻過半都是國外的業者我們現在目前的遊戲平台大家都知道遊戲平台業者大概收取收益大概30%那跨國稅款大概10至15%那剩下的才由開發商跟發行商來依照協議的比例拆分或者是評分那台灣的開發團隊
transcript.whisperx[115].start 4441.474
transcript.whisperx[115].end 4465.79
transcript.whisperx[115].text 大概擁有的收益大概只有25%左右那臺灣的遊戲產業的收益無法最大化那我們應該要協助國內的遊戲發行商來建立全球的行銷能力這個部長跟署長你也應該都知道我們現在很多的這種電競遊戲的發行其實都是跟中國合作
transcript.whisperx[116].start 4467.24
transcript.whisperx[116].end 4489.97
transcript.whisperx[116].text 那其實沒有自己的發行商那這樣會造成很多的問題如果中國在這樣數位產業的競爭他要卡住我們我們的數位的電競遊戲發展空間就一下子幾乎幾乎會被團滅了第二他們也都會進行實質的審查那之前有一個遊戲還願
transcript.whisperx[117].start 4492.407
transcript.whisperx[117].end 4512.204
transcript.whisperx[117].text 委員本來是有上架後來查到說裡面有一個什麼鬍鬚有寫習維尼或什麼就被下架他下架之後他沒有辦法在其他地方再上市再上架了因為他們有訂合約嗎然後我們看到整個我們台灣培養了很多遊戲團隊也會被中國買走啊我們沒有自己的這樣的一個
transcript.whisperx[118].start 4518.905
transcript.whisperx[118].end 4535.92
transcript.whisperx[118].text 全球的行銷能力,我們沒有這樣一個平台來再說明一下,部長這要怎麼樣?委員這個建議都很好了,就是這個建議全球行銷能力。部長今天我來一直你都說很好,然後就是說你們目前都做得不好嘛。其實就是這樣。
transcript.whisperx[119].start 4538.882
transcript.whisperx[119].end 4550.646
transcript.whisperx[119].text 因為時間的關係我最後再講一個我們講座計畫的審查委員全部都是男性其實我認為是違反性別比例原則那國際跟國內的業者去統計台灣的遊戲從業人員女性已經超過三分之一
transcript.whisperx[120].start 4557.788
transcript.whisperx[120].end 4560.91
transcript.whisperx[120].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[121].start 4582.675
transcript.whisperx[121].end 4587.499
transcript.whisperx[121].text 至少不得少於三分之一單一性別不得少於三分之一這個沒有問題吧那相關的對於台灣的
transcript.whisperx[122].start 4593.528
transcript.whisperx[122].end 4619.021
transcript.whisperx[122].text 電競遊戲的發展數位部的相關的補助以及政策我最後時間讓部長你再簡單的說明一下對就是剛剛的委員有幾個建議那個補助的爭取我們會就是說再看再去再去調整看怎麼樣去爭取更多機會不過目前我們還是覺得就是說可能要找最有效的補助方法就是說是不是要比較
transcript.whisperx[123].start 4619.881
transcript.whisperx[123].end 4620.361
transcript.whisperx[123].text 接下來邀請林俊憲委員發言
transcript.whisperx[124].start 4655.574
transcript.whisperx[124].end 4659.097
transcript.whisperx[124].text 社群媒體對於未成年的危害有沒有造成危害?
transcript.whisperx[125].start 4677.269
transcript.whisperx[125].end 4702.523
transcript.whisperx[125].text 大人﹚我們總是成年人﹚有沒有辦法來幫助這些未成年人因為最近澳洲要定一個法律這個法律非常的引起國際注意澳洲準備要定一個法律16歲以下的未成年人禁止使用社群軟體澳洲這個立法獨步全球
transcript.whisperx[126].start 4703.872
transcript.whisperx[126].end 4705.314
transcript.whisperx[126].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[127].start 4723.532
transcript.whisperx[127].end 4736.569
transcript.whisperx[127].text 來向抖音提出司法控告因為他們認為抖音的內容造成兩名青少年自殺請問部長知道這位訊息嗎?
transcript.whisperx[128].start 4738.752
transcript.whisperx[128].end 4763.992
transcript.whisperx[128].text 那個澳洲的我知道,那法國的我...好,你大概了解,那你知道我們國內我們的兒少我們的未成年人使用社群軟體的狀況嗎?我引用一個數字跟你參考這是一個NGO的調查他說我們的未成年人大概是國高中生有95%幾乎全部都有啦,有使用社群軟體
transcript.whisperx[129].start 4765.407
transcript.whisperx[129].end 4789.736
transcript.whisperx[129].text 那最多的是Instagram。Instagram有78%啦。Facebook有73%。抖音有61%。也就是說額兆最常使用的社群軟體就是這三個。Instagram、Facebook還有TikTok。那平均每一個
transcript.whisperx[130].start 4791.26
transcript.whisperx[130].end 4819.803
transcript.whisperx[130].text 二成年人使用3.5個平台社群平台其中國中生使用最多的是抖音還有Facebook還有臉書高中生使用比較多的是Instagram這數字給你參考那我們的小孩子會不會沉浸在這些社群軟體裡面呢那經過他的調查這受罪也很可怕他一個禮拜要花35個小時
transcript.whisperx[131].start 4821.82
transcript.whisperx[131].end 4822.921
transcript.whisperx[131].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[132].start 4840.134
transcript.whisperx[132].end 4861.307
transcript.whisperx[132].text 你就是說我們的下一代啊大概已經高度都是網路中毒啦就每天你都一定要在上面那你在網路上也沒關係啦重點是你在做什麼事那如果你接觸的比如說一個禮拜35個小時平均1天5個小時都在社群平台上那會接觸到什麼東西有沒有負面的東西啊
transcript.whisperx[133].start 4862.208
transcript.whisperx[133].end 4886.904
transcript.whisperx[133].text 但是這個調查裡面告訴我們有過半那56%的未成年人他們在網路社群平台會接觸到不良的東西也就是所謂的負面的東西那哪些負面的東西呢假訊息不符合年齡的廣告這前三名第三就是社群的影印還有訊息請問部長你對這些有沒有什麼看法
transcript.whisperx[134].start 4889.549
transcript.whisperx[134].end 4904.304
transcript.whisperx[134].text 確實這是一個問題那我那個我的瞭解是這個當我們觀察香港提到澳洲的做法那在因為這個東西牽涉到其實牽涉到衛福部牽涉到教育部所以我想我們跨部會會來討論怎麼去對這做進行一個防治
transcript.whisperx[135].start 4904.684
transcript.whisperx[135].end 4906.446
transcript.whisperx[135].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[136].start 4928.229
transcript.whisperx[136].end 4955.291
transcript.whisperx[136].text 這些青少年都是我們國家的未來如果他們從小就沉溺在網路上而且有這麼高比例都接觸到負面不良的東西那當然會影響他們的心智發展甚至影響到國家的未來所以澳洲才會訂出這樣的法律也才引起國際上高度的關注例如現在很多國家都控告抖音
transcript.whisperx[137].start 4956.252
transcript.whisperx[137].end 4973
transcript.whisperx[137].text 因為它裡面有一些非常奇特、很不良的東西,像自殺。最近包括美國政府、法國、義大利都控告抖音上面,尤其對於青少年不利資訊裡面的自殺,他們認為是受到很大一個影響。
transcript.whisperx[138].start 4974.161
transcript.whisperx[138].end 5003.336
transcript.whisperx[138].text 尤其各國都會在防制自殺都希望把那個自殺比例降低就其中就非常不正常的就15到24歲的自殺率包括台灣這是我們台灣的數字也都是只有他這個年紀逐步的在增加除了他在這個年紀的心智發展還沒有很成熟以外我講的是15到24歲因為受到不良社群媒體尤其像抖音這種的傳播也會是一個重要因素
transcript.whisperx[139].start 5004.62
transcript.whisperx[139].end 5025.551
transcript.whisperx[139].text 我再給部長參考根據國際的統計全世界受到境外假訊息影響前五名的國家第一名是台灣第二名拉脫維亞第三名巴勒斯坦第四伊朗第五蒙特內國等等對外散播假訊息假訊息製造
transcript.whisperx[140].start 5027.065
transcript.whisperx[140].end 5041.423
transcript.whisperx[140].text 前五名的國家是尼加拉瓜、北韓、委內瑞拉、中國所以台灣也受到境外假訊息的影響那其中瑞典有一個國際很出名的
transcript.whisperx[141].start 5043.923
transcript.whisperx[141].end 5069.598
transcript.whisperx[141].text 雷典德堡大學2024年的報告他說受到境外尤其是來自境外攻擊假訊息最嚴重的國家臺灣已經連續11年殘年第一名首位就是我們受假訊息攻擊連續11年都是全世界最嚴重的國家那我們的假訊息主要從哪裡來?一定是來自中國那部長有沒有什麼辦法?
transcript.whisperx[142].start 5071.109
transcript.whisperx[142].end 5087.467
transcript.whisperx[142].text 部長我記得你在7月的時候你曾經到我們委員會你也提出過報告那針對這樣的假訊息部長說要成立一個委員會來處理我不知道目前這相關的事情你做了怎麼樣包括那個我當時提的是說這個假訊息的判讀
transcript.whisperx[143].start 5088.348
transcript.whisperx[143].end 5108.604
transcript.whisperx[143].text 我們應該是有個獨立的一個委員會來判讀但是剛講這機制面啊機制面就是我剛講就是我們現在跟像剛講這幾個平台商是有一個管道就是說他們像打造法裡面讓我們納管四個公司六個平台我們用這個方式可以要求他們下架某些訊息包括可以包括假訊息
transcript.whisperx[144].start 5109.324
transcript.whisperx[144].end 5131.656
transcript.whisperx[144].text 那所以就是說確實有管道我們可以看到如果不宜的訊息包括假廣告或是詐騙或是剛講的這種錯誤的訊息我們是有管道可以叫他們下架先用這個機制先叫他們先處理那至於說將來這個真跟假的判讀我個人認為說還是需要有個獨立的一個委員會來處理那這部分還在討論中
transcript.whisperx[145].start 5133.197
transcript.whisperx[145].end 5152.266
transcript.whisperx[145].text 你還在討論我們都連續11年受到境外假訊息攻擊最嚴重的國家那部長也上任那麼上任那麼久了這個確實是需要在那個我個人認為說這個委員會但是當時部長有說啦那假訊息你要處理你比如你要要求他下架那最基本的
transcript.whisperx[146].start 5153.186
transcript.whisperx[146].end 5153.767
transcript.whisperx[146].text 打詐是領平台跟我們的配合
transcript.whisperx[147].start 5168.342
transcript.whisperx[147].end 5189.01
transcript.whisperx[147].text 有進行了如何?有嗎?效果有嗎?現在詐騙還是這麼嚴重喔?還是國人最不滿的原因之一喔?11月底我們會把這個納管包括法則跟下架事情會寫出來11月就這個月啊11月底就在11月底之後這個月底
transcript.whisperx[148].start 5190.691
transcript.whisperx[148].end 5207.875
transcript.whisperx[148].text 議員議員議員議員議員
transcript.whisperx[149].start 5207.955
transcript.whisperx[149].end 5208.535
transcript.whisperx[149].text 接下來邀請油耗委員發言
transcript.whisperx[150].start 5254.983
transcript.whisperx[150].end 5257.625
transcript.whisperx[150].text 李坤哲委員提到目前在臺灣的電玩產業速發部還有積極的許多的一些相關的補助跟計畫的措施
transcript.whisperx[151].start 5279.045
transcript.whisperx[151].end 5297.593
transcript.whisperx[151].text 目前來講在台灣的電競的產業的發展在競賽項目從2018年亞加達還把它列為亞運的表演項目再到2022年杭州亞運把它列為正式的比賽項目那本期在這裡還是就延續的也建議那數發部資可以針對台灣的電競產業以及電競的這個發展就發展能夠重點式的來做協助因為如果說這種
transcript.whisperx[152].start 5306.357
transcript.whisperx[152].end 5336.357
transcript.whisperx[152].text 議員議員議員
transcript.whisperx[153].start 5336.792
transcript.whisperx[153].end 5336.932
transcript.whisperx[153].text 對,沒有錯,對。
transcript.whisperx[154].start 5357.273
transcript.whisperx[154].end 5378.818
transcript.whisperx[154].text 那接著剛才林軍憲委有提到這實名制的部分那因為目前來講如果說數位發展部在打砸的部分在預算編列未來也會針對這個打砸的預算的這個部分來去做提升那可是這個實名制的話目前來推動的一個進程那想請這個部長是不是可以簡單回答一下
transcript.whisperx[155].start 5379.578
transcript.whisperx[155].end 5395.87
transcript.whisperx[155].text 對實名制我們現在就是說在網路上實名制我們有電子簽章法然後數位簽章也同時推動那將來就希望說用這些技術能夠很就是很就讓那個這些剛講的平台上可以很容易去驗證登廣告人是不是實名這個
transcript.whisperx[156].start 5396.51
transcript.whisperx[156].end 5397.23
transcript.whisperx[156].text 好,那拭目以待
transcript.whisperx[157].start 5419.704
transcript.whisperx[157].end 5423.507
transcript.whisperx[157].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算
transcript.whisperx[158].start 5436.697
transcript.whisperx[158].end 5455.284
transcript.whisperx[158].text 這個目前來講就是速發部在於許多的業務的部分經費上其實是大量的外包啊那當然的尾半那尤其是像22億的一個經費幾乎有13億是對於國內團體的捐助補助那本市長直接請教一下部長
transcript.whisperx[159].start 5456.064
transcript.whisperx[159].end 5481.401
transcript.whisperx[159].text 那在這個部分來講他的這些捐助補助的名單也沒有在網路上面去做揭示那這些部分如何能夠讓社會各界可以認同數發部本身來講部長跟部內的同仁其實也都有專業但是卻都用這個偽辦的方式來去進行就像是一個採購中心或是轉報中心那這個部長要如何來去做改進以及如何來公告
transcript.whisperx[160].start 5482.101
transcript.whisperx[160].end 5482.521
transcript.whisperx[160].text 這個有公告採購
transcript.whisperx[161].start 5508.954
transcript.whisperx[161].end 5528.291
transcript.whisperx[161].text 好那沒關係那其實這個本席還是辦公室這邊其實確實也有在就是書發部跟相關的平台來去做瀏覽那其實這個經費上將近20億其中13億都是對於這個去做捐助補助的部分那其實訊息公告跟揭露需要改善啊需要加強啊
transcript.whisperx[162].start 5528.911
transcript.whisperx[162].end 5551.909
transcript.whisperx[162].text 不管是在技術的研發上或是在許多做宣傳的部分那我是覺得可以讓民眾是看得更清楚也可以讓我坦白講訴發部之前的話一直被評為就是都在做這個網軍跟大內宣可是我坦白講現在部長您是專業的部長那可以把這個部分去對訴發部大家所作的不白之願來去做洗白
transcript.whisperx[163].start 5552.329
transcript.whisperx[163].end 5582.329
transcript.whisperx[163].text 議員議員議員議員
transcript.whisperx[164].start 5583.249
transcript.whisperx[164].end 5587.671
transcript.whisperx[164].text 目前在鄉鎮市數位發展程度分類表南投縣幾乎都還有四個鄉鎮在五級區域其中有六個鄉鎮是屬於數位發展盲洞區
transcript.whisperx[165].start 5604.136
transcript.whisperx[165].end 5625.881
transcript.whisperx[165].text 那看了這個資安署以及數產署及數化部的本部預算那這個部分來講我想直接請教一下部長或是相關同仁在明年度預計會在南投提升這個數位落差以及數位的這種發展改善的經費預計會是多少的金額?那個數證師王市長
transcript.whisperx[166].start 5628.823
transcript.whisperx[166].end 5647.551
transcript.whisperx[166].text 因為其實22縣市我相信出發部其實一直以來都有針對比較弱的鄉鎮再去做一個改善跟提升所以說其實這個各縣市來講的話其實這資料數據其實都有那想請教一下在明年不南投的話會有哪些的部分目前預計以及提升的成效預計如何
transcript.whisperx[167].start 5648.662
transcript.whisperx[167].end 5675.128
transcript.whisperx[167].text 報告委員因為這個資料比較細我們是不是會後再跟委員提供鄉鎮不用但是縣的部分稍微提一下因為他們會提計畫然後計畫我們審查之後然後會撥那個經費給他們那樣子那因為以目前的話我們大概是每年會補助大概8到9個縣市那我們這個部分的話我們詳細的數字我們再給委員這邊那有沒有預計針對這樣子比較算是四五級或是盲洞區的這種地區來講的話有加強輔導
transcript.whisperx[168].start 5678.569
transcript.whisperx[168].end 5694.343
transcript.whisperx[168].text 對,因為有些縣市他是比較不會寫計畫他需要經費他不會寫那這個部分我們都會去輔導他們怎麼樣去根據他們的需求去把這個計畫書或是說把他們要做的事情把它寫得比較好一點讓委員這邊可以比較同意他們的一個提出來一個經費的需求
transcript.whisperx[169].start 5695.316
transcript.whisperx[169].end 5713.974
transcript.whisperx[169].text 好那目前這個部分就就持續就請協助了好那我就不去再做那個那但是同樣的後面還是會請您把22縣市在去年跟今年預計要做的已經以及執行完成的部分一樣是給本市辦公室一個資料
transcript.whisperx[170].start 5714.514
transcript.whisperx[170].end 5729.957
transcript.whisperx[170].text 因為在南投要改善這個數位落差我相信其實之前部長在這個會期討論預算的時候其實我們就已經有去做過探討那本期還是希望說訴發部他是可以主動出席甚至來去協助這些縣市來做改善
transcript.whisperx[171].start 5730.538
transcript.whisperx[171].end 5748.229
transcript.whisperx[171].text 那當然目標我們看到現況是如何那如何能夠在錢花在刀口上尤其是在南投縣那是有一些地方他還是在屬於第5級區或是在蒙洞區的部分那本期是希望能夠實際上協助到南投縣謝謝好謝謝有緣謝謝部長那接下來質詢的是我們陳淑月早委
transcript.whisperx[172].start 5763.936
transcript.whisperx[172].end 5768.639
transcript.whisperx[172].text 謝謝主席請主席邀請黃部長還有謝署長來黃部長謝署長部長早安那今天委員會是就是就這個資通安全署跟數位產業署的預算進行詢答那本期在這邊是主要針對這個資安的問題跟政策來請教我們部長跟署長
transcript.whisperx[173].start 5792.91
transcript.whisperx[173].end 5798.212
transcript.whisperx[173].text 我們都知道資安就是國安可是我覺得說現在就是這個科技的進步我覺得我們每一個人真的都是隨時的暴露在這個資訊外洩的這樣子的一個風險當中那過去在我們就是數位部還沒有掛牌之前就是NCC他在2021年的時候
transcript.whisperx[174].start 5816.318
transcript.whisperx[174].end 5818.761
transcript.whisperx[174].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算:一、審查114年度中央政府總預算:完整會議
transcript.whisperx[175].start 5832.737
transcript.whisperx[175].end 5849.354
transcript.whisperx[175].text 所以那時候也確實發現說這個中國製的手機確實有侵害到個資的這個狀況所以我覺得這個真的是蠻嚴重的那這個也是因為我們政府應該要替消費者把關要嚴格去把關的一個部分
transcript.whisperx[176].start 5849.975
transcript.whisperx[176].end 5850.555
transcript.whisperx[176].text 二、審查114年度中央政府總預算
transcript.whisperx[177].start 5880.095
transcript.whisperx[177].end 5898.299
transcript.whisperx[177].text 8立法院第11屆第12會議中央政府總預算案關於數位發展部資通安全署單位預算8立法院第11屆第12會議中央政府總預算案關於數位發展部資通安全署單位預算8立法院第12會議中央政府總預算案關於數位發展部資通安全署單位預算8立法院第12會議中央政府總預算案關於數位發展部資通安全署單位預算8立法院第12會議中央政府總預算案關於數位發展部資通安全署單位預算8立法院第13會議中央政府總預算案關於數位發展部資通安全署單位預算8立法院第14會議中�
transcript.whisperx[178].start 5906.761
transcript.whisperx[178].end 5924.232
transcript.whisperx[178].text 所以我覺得說這個科技的進步真的是我們無法想像而且是非常恐怖的一個部分所以像這樣的情況個案不只一個是好幾個那所以這樣子的一個狀況就是說就部長的一個專業你認為這樣發生這個狀況他的部分是出在哪裡問題出在哪裡
transcript.whisperx[179].start 5925.993
transcript.whisperx[179].end 5940.886
transcript.whisperx[179].text 那個報告委員這個我們的所謂的現在就是物聯網這樣的設備越來越普遍那物聯網設備資安的問題確實是一個問題因為不只是這個在早先像我們的那個攝影機被入侵被跳板被攻擊跳板
transcript.whisperx[180].start 5941.266
transcript.whisperx[180].end 5942.887
transcript.whisperx[180].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[181].start 5962.544
transcript.whisperx[181].end 5987.034
transcript.whisperx[181].text 所以就是說這個剛剛講就是說像如果是中國我們現在就是像我們公部門就規定這個錄製中國的設備我們不能用不管你是什麼樣的設備因為它只要聯網都有可能治安外洩的風險那民間裡面在使用的時候也要很確認這一點就是它這個設備本身的這個治安那有一點最基本要做的就是這些設備來的時候都有所謂的基本的叫做password就是密碼
transcript.whisperx[182].start 5987.534
transcript.whisperx[182].end 5987.554
transcript.whisperx[182].text 委員會議
transcript.whisperx[183].start 6009.5
transcript.whisperx[183].end 6009.62
transcript.whisperx[183].text 委員會主席
transcript.whisperx[184].start 6025.247
transcript.whisperx[184].end 6025.467
transcript.whisperx[184].text 委員會主席
transcript.whisperx[185].start 6040.929
transcript.whisperx[185].end 6069.27
transcript.whisperx[185].text 智慧家電的都有可能是會被入侵的我就是智慧家電因為透過就是遠端控制的這個手機應用程式都有可能將這個個資回傳到中國去所以一般民眾在使用的時候他們可能不是很清楚所以在相關的APP在下載或者授權的時候他們可能就不小心就按了同意然後就不曉得說他的個資可能就是被傳輸回中國了然後就是被監控了
transcript.whisperx[186].start 6070.151
transcript.whisperx[186].end 6095.044
transcript.whisperx[186].text 所以我覺得這是令人蠻擔憂的一個部分所以我們也看到就是說外國國外的政府像英國他也就是預計就是在2025年他也希望就是說要來發布新的隱私指導方針明確規範智能產品的製造商應該遵守的相關資料的一個規範那這個部分我們數位部是不是也應該積極來推動
transcript.whisperx[187].start 6097.076
transcript.whisperx[187].end 6125.839
transcript.whisperx[187].text 我們現在就是針對剛剛講就是我們有針對這個設備主要是因為針對現在我們只能針對政府使用這些設備的一些規範這個我們政府有在訂那現在主要是說這個設備剛剛講不能是錄製但是就是那是那個產品本身的認定但是之後這個剛剛講這些設備本身還是要通過一些治安的檢測這個我想我們會做那至於說這邊所提到的治安標章跟
transcript.whisperx[188].start 6126.499
transcript.whisperx[188].end 6130.942
transcript.whisperx[188].text 委員會定出一個建議的使用方法比如說授權不要開太大他不需要你的住址或不需要你的親友
transcript.whisperx[189].start 6148.916
transcript.whisperx[189].end 6149.857
transcript.whisperx[189].text 二、審查114年度中央政府總預算案關於數位發展部資
transcript.whisperx[190].start 6166.667
transcript.whisperx[190].end 6177.534
transcript.whisperx[190].text 只有這個系統本身基本功能就好不要所有的東西都授權給相關的APP然後第三個就是遇到有任何漏洞的時候應該要隨時上網因為我們會公告這個情資所以其實我們是開放給政府機關跟
transcript.whisperx[191].start 6182.657
transcript.whisperx[191].end 6182.677
transcript.whisperx[191].text 謝謝委員
transcript.whisperx[192].start 6203.078
transcript.whisperx[192].end 6227.167
transcript.whisperx[192].text 是 那授權說小我覺得也是要從源頭去規範就是從那個智能的這個廠商嘛因為他的授權書有可能就是漏漏等啊然後到最後他全部都把它寫在同全部都包在裡面然後到最後才問你同不同意那你根本沒有辦法去區分你哪個要同意哪個不同意所以是不是你應該要有一個層次的一個規範才對
transcript.whisperx[193].start 6228.667
transcript.whisperx[193].end 6250.121
transcript.whisperx[193].text 對它其實是兩塊第一個是我們在使用這個軟體或使用這個產品它會說你同不同意這個是算各自的收集那以後各自會它會做基本再做更深的規範那第二塊是你在你的系統比如說手機它會有一些隱私設定那就是把一些比如說不需要的你的位置在哪裡不需要授權給那些APP就從那邊關掉其實任何軟體也讀不到
transcript.whisperx[194].start 6254.764
transcript.whisperx[194].end 6283.641
transcript.whisperx[194].text 所以我們會先教大家說應該把那些怎麼關的授權縮小如果是我們會依照委員的建議我們就是給一些參考指引這樣子好我覺得這個資安真的是非常的重要所以我們也希望就是說這個數法部應該也要會同NCC就是一起來積極回應就是我們社會大眾對於這個中國製的相關的家電也好手機產品也好這個資安的一個疑慮我們一定要嚴格的把關
transcript.whisperx[195].start 6284.301
transcript.whisperx[195].end 6284.981
transcript.whisperx[195].text 接下來邀請何新淳委員發言
transcript.whisperx[196].start 6315.751
transcript.whisperx[196].end 6319.713
transcript.whisperx[196].text 謝謝數月召委我們請黃部長請黃部長剛剛數月委員在講的這件事我覺得我們數位發展部必須要花很大的心思在喚起國人對於我們這個個人在使用這些資訊網路的安全的意識還有風險的意識我覺得這很重要
transcript.whisperx[197].start 6345.302
transcript.whisperx[197].end 6367.039
transcript.whisperx[197].text 接下來我的質詢就是我們對數位發展部期望很高我也知道你們責任很重尤其你們是打詐國家隊的一個非常重要的部會我就要問最近我們看到公股銀行跟未來打擊金融詐騙九大公股銀行開始率先
transcript.whisperx[198].start 6370.279
transcript.whisperx[198].end 6393.128
transcript.whisperx[198].text 來說我呢以後呢對於呢沒有用實名制的數位平臺我不再下任何廣告這件事你知道嗎對不對所以也不會再邀請網紅代言各項業務那非實名制的他在裡面點出Google Line Facebook YouTube and IG這個社群平臺到目前為止還沒有
transcript.whisperx[199].start 6394.288
transcript.whisperx[199].end 6418.164
transcript.whisperx[199].text 進行所謂的實名制廣告還沒有實名制的審查所以這個詐騙亂象要打詐是國人期待政府很久很久也很深很深希望能夠呢立竿見影嘛對不對所以速發部有責任那除了呢公股銀行九大又開始有其他的民間銀行也跟進甚至呢投信投顧也跟進但是呢
transcript.whisperx[200].start 6419.485
transcript.whisperx[200].end 6444.371
transcript.whisperx[200].text 這樣子的一個行動我們要打炸但是它是不是也會發生所謂的破窗效應數位行銷會不會這個產業會不會受影響這個是值得我們關注的第一個打炸當然是首要要做的工作但是呢在打炸的同時我們如何讓我們的數位行銷產業也能夠健康正常的發展
transcript.whisperx[201].start 6445.612
transcript.whisperx[201].end 6467.832
transcript.whisperx[201].text 這也很重要我舉幾個數字台灣的網紅經濟成長空間很大全球的產值這個報導是媒體預估的全球的產值是6500億那甚至預估2026還會再超越但是反觀台灣台灣的平台跟相關的類型廣告在2022
transcript.whisperx[202].start 6470.074
transcript.whisperx[202].end 6491.308
transcript.whisperx[202].text 很好但是呢到2023呢又稍微有衰退那我們當然在講今年是2024雖然還沒有相關的數據問題是公股銀行跟其他的包括投信投庫跟未來可能跟進的民間企業開始測廣告那所謂的破窗效應會不會讓我們2024的這個數位行銷的一個相關的產業經濟會不會更衰退我覺得部長這個要值得觀察
transcript.whisperx[203].start 6499.733
transcript.whisperx[203].end 6500.033
transcript.whisperx[203].text 委員8發言委員
transcript.whisperx[204].start 6526.063
transcript.whisperx[204].end 6531.466
transcript.whisperx[204].text 還會運用其他的數位平台來下廣告所以對數位行銷這個產業基本上是不影響那意思是說這四個國人最常用的也是國際間最大的四大平台
transcript.whisperx[205].start 6545.196
transcript.whisperx[205].end 6558.295
transcript.whisperx[205].text 這個暫時不下廣告而已我不是說錢有沒有減少啦而是在這四個平台上的所有的數位行銷的不管是網紅也好或是youtuber也好或者是其他的個人的這個
transcript.whisperx[206].start 6560.471
transcript.whisperx[206].end 6584.87
transcript.whisperx[206].text 會不會受影響我是提醒你要注意啦我是提醒你要注意我為什麼會講這件事呢是因為就是因為我們廣告實名資料上路了你們現在也在預告執法規那也送到行政院聽說11月月底呢會核定然後公告這是現在我掌握到了期程我希望能夠如期但是呢我要
transcript.whisperx[207].start 6585.831
transcript.whisperx[207].end 6599.304
transcript.whisperx[207].text 拜託部長你們可能要去好好的想一想未來我們執法規公告了之後第一個四大平台我剛剛講的現在沒有實名制廣告的這四大平台會不會跟進
transcript.whisperx[208].start 6600.777
transcript.whisperx[208].end 6618.13
transcript.whisperx[208].text 委員會否跟進?我們都有跟他溝通他們都有答應說會跟進他們有答應說會跟進那我以前就問過你了他們答應跟進那他們的系統介面有沒有保證會在我們今年年底上路之後他的設備
transcript.whisperx[209].start 6620.552
transcript.whisperx[209].end 6645.89
transcript.whisperx[209].text 它的硬體、它的介面可以建置完善嗎?可以完成嗎?我們跟他們喝過好幾次咖啡他們有正在進行中嗎?正在進行中那我就問你一個問題喔如果按照我們的法規要求數位簽章的憑證包括我們自然人工商憑證政府及法人憑證等等那這些憑證市大平台的系統有嫁接嗎?
transcript.whisperx[210].start 6647.605
transcript.whisperx[210].end 6666.013
transcript.whisperx[210].text 因為他要先嫁接你才能認證啊啊如果系統平台他沒有辦法嫁接這些所謂自然人憑證工商憑證政府或法人的憑證系統他沒辦法嫁接的話那你如何讓他去合格說啊他這個真的是實名制
transcript.whisperx[211].start 6666.83
transcript.whisperx[211].end 6692.112
transcript.whisperx[211].text 對,他那個系統他現在建制我請那個署長回答跟委員報告就是目前是數位清張可以另外的話技術相當的我現在在問你技術性說四大平台喝咖啡你說他說願意配合那願意配合那必須要先做嫁接嘛系統的嫁接嘛那系統嫁接他有沒有承諾你什麼時候可以完成因為我們這一個我們這個法規就要上路啦
transcript.whisperx[212].start 6693.387
transcript.whisperx[212].end 6694.068
transcript.whisperx[212].text 所以沒有全面嗎?
transcript.whisperx[213].start 6706.022
transcript.whisperx[213].end 6725.331
transcript.whisperx[213].text 所以沒有全面,你現在講說一個重點喔平台雖然答應但是他的系統嫁接到底有沒有完成那完成的時程又是如何如果沒有到位那你明年說要上路的實名制等於是做半套喔什麼叫做高風險的開始那所謂的高風險用戶又是誰來認定
transcript.whisperx[214].start 6734.5
transcript.whisperx[214].end 6737.267
transcript.whisperx[214].text 誰?那你有掌握嗎?那你有掌握嗎?
transcript.whisperx[215].start 6745.01
transcript.whisperx[215].end 6763.726
transcript.whisperx[215].text 我們持續在跟Meta主要是Meta的部分因為其他可能相對問題比較小那Meta部分他們已經積極在做系統的調整你會不會給我一篇那個書面報告因為我要知道說你到底掌握到多少我今天要求的是你如果承諾明年1月1號要上路實名制那
transcript.whisperx[216].start 6766.548
transcript.whisperx[216].end 6795.338
transcript.whisperx[216].text 就要做完整的第一個系統的嫁接平台他既然答應了那他就要許諾我們政府許諾國人他要怎麼一步一步做到這第一個不是只有高風險的用戶啊高風險的用戶我剛剛問你誰來認定也是他認定啊也不是政府認定啊那他認定那我們又如何掌握那何時才能夠全面性的實名制
transcript.whisperx[217].start 6797.694
transcript.whisperx[217].end 6813.055
transcript.whisperx[217].text 這個你不能把主導權掌握在系統平台上面那我們自己反而沒有主導權那你如何告訴國人說我打詐是真的我法規都已經立法修法預告公告然後明年一定如期上路
transcript.whisperx[218].start 6814.724
transcript.whisperx[218].end 6841.697
transcript.whisperx[218].text 不能這樣啦那個報告委員這個我們在看他這個技術面我們你技術面他承諾什麼時候可以完全做到FIDO應該是在全面導入中那數位簽章我們數位簽章剛剛講是說因為簽章簽不然我們數位簽章法立法修法通過了結果沒有辦法執行那你怎麼承諾國人說我們可以打詐而且系統平台是跟我們政府站在同一個陣線要打擊詐騙
transcript.whisperx[219].start 6844.798
transcript.whisperx[219].end 6848.42
transcript.whisperx[219].text 技術面是問題喔系統平台要不要跟政府的這個相關的憑證系統嫁接
transcript.whisperx[220].start 6858.933
transcript.whisperx[220].end 6881.075
transcript.whisperx[220].text 這是問題耶我講的是說技術部門是什麼時候導入導入的速度這是問題所以我們會去監督導入的速度什麼時候全面導入這個你要去追阿你要告訴我們阿你要告訴國人喔第二個我還在請你還有另外一個技術的問題請教你我們另外一個行動身份的識別現在
transcript.whisperx[221].start 6882.699
transcript.whisperx[221].end 6895.389
transcript.whisperx[221].text 新的Face ID指紋辨識那我請教你系統平台他如何嫁接國人的Face ID跟指紋辨識系統我們現在有
transcript.whisperx[222].start 6900.049
transcript.whisperx[222].end 6915.22
transcript.whisperx[222].text 如果系統平台沒有跟我們這些系統嫁接那未來我要去開Facebook的帳戶我的身份到底是不是真的我的指紋到底是不是真的我這一張臉到底是不是叫核心存他怎麼辨識他怎麼認證那個
transcript.whisperx[223].start 6919.876
transcript.whisperx[223].end 6939.761
transcript.whisperx[223].text 導入就是說必須要有一個機構所以你有跟我們比如說警政、內政部他們講過指紋也要嫁接嗎?指紋系統要嫁接嗎?Face ID也要嫁接嗎?這個你們有跨部會講過嗎?這一部分還沒有但是我們會去還沒有嘛還沒有嘛
transcript.whisperx[224].start 6943.473
transcript.whisperx[224].end 6962.449
transcript.whisperx[224].text 議長﹗
transcript.whisperx[225].start 6962.645
transcript.whisperx[225].end 6991.347
transcript.whisperx[225].text 我現在就是在提醒你注冊的方式有好幾種那注冊的方式好幾種你要事先知道有哪幾種那有哪幾種那你就要政府要跟系統平台要求而且要他們許諾這個整個實名制的認證的規範必須在我們台灣的法律架構下系統平台一定要守法
transcript.whisperx[226].start 6992.068
transcript.whisperx[226].end 7001.835
transcript.whisperx[226].text 那要他守法我們就必須要提供相關的技術的一個系統的一個嫁接如果沒有嫁接這個界面沒有完整的話那其實怎麼執行實名制嘛因為他就沒有資料庫系統可以來認證嘛我剛剛再講一次喔
transcript.whisperx[227].start 7016.67
transcript.whisperx[227].end 7031.268
transcript.whisperx[227].text 沒有核心存的face資料庫那我用我的face去申請那請問他系統平台社群平台如何認證說我這張face就叫做核心存
transcript.whisperx[228].start 7032.509
transcript.whisperx[228].end 7038.334
transcript.whisperx[228].text 包括有兩個一個是電信商的MOMA ID也可以自然電評證當然也可以那我問你喔那你以後就是要限制我們的國人只能用你講的這幾個方式來申請帳號跟認證喔我用貨不能自主選擇嗎
transcript.whisperx[229].start 7053.596
transcript.whisperx[229].end 7067.592
transcript.whisperx[229].text 有一些已經是比較容易導入這個應該是第一步會落實的可是你沒有跟國人講啊你要公開透明的講清楚嘛哪些是已經可以執行實名制的
transcript.whisperx[230].start 7068.655
transcript.whisperx[230].end 7070.376
transcript.whisperx[230].text 報告委員這是給廣告商他要去認證不是本國人
transcript.whisperx[231].start 7098.07
transcript.whisperx[231].end 7126.463
transcript.whisperx[231].text 那我問你我們現在數位行銷國人如果要上去數位行銷就要去註冊啊那你有沒有database我們全台灣國人裡面有多少人在進行數位行銷這個就是他要去比如說他在Facebook所以你都沒有掌握嘛我現在在告訴你嘛國人他也可能是數位行銷的買家跟賣家啊對不對我又不是只有公司法人才會是這個數位行銷的買家跟賣家
transcript.whisperx[232].start 7128.805
transcript.whisperx[232].end 7141.162
transcript.whisperx[232].text 廣告商這個這個這個這個我們會剛講就這個東西我們在在這個欸你們的你們的你們的那個框架好自私喔現在都已經進步到哪裡去了數位行銷
transcript.whisperx[233].start 7143.926
transcript.whisperx[233].end 7161.385
transcript.whisperx[233].text 不知道進步到哪裡去了,你們現在框架還是在那裡喔?我是在提醒你啦,我們希望真正的實名制投放廣告的實名制一定要如期如實的上路,最重要是愛武豪啦!
transcript.whisperx[234].start 7161.986
transcript.whisperx[234].end 7169.311
transcript.whisperx[234].text 要做得到啦是嘛是嘛好不好所以你們的責任很大啦所以要挽回民眾對你們的信心那數位行銷產業不受影響而且還能夠健康正常的發展成長這個還有我剛剛講的數位平台這些系統的跟政府系統的嫁接如何落實實名制這個是你們的責任好不好好謝謝
transcript.whisperx[235].start 7192.306
transcript.whisperx[235].end 7193.507
transcript.whisperx[235].text 主席好,那我們先請數位部黃部長請黃部長
transcript.whisperx[236].start 7226.258
transcript.whisperx[236].end 7255.303
transcript.whisperx[236].text 委員好部長好部長我先就這個預算的本身來討論一下其實過去這些年這個數位部大家在媒體上都被嘲諷是這個出國旅遊部當然本席沒有反對那個公務員出國考察這是很正常的事情但是每年出國旅費我想看從今年呢今年的話是這個派6人出去那花費了33萬那明年度預計要派13個人花費212萬增加幅度增加5倍多那當然
transcript.whisperx[237].start 7255.703
transcript.whisperx[237].end 7281.438
transcript.whisperx[237].text 人變多旅費增加也是正常的不過如果看到一個人的平均的話今年的話平均一個人的出國旅費是5.5萬但到明年預計是一個人要花費16.4萬增加的幅度我想也是會比較多一點所以想請教一下部長到底明年的出國計畫為什麼要出國那做什麼事情那預計達到什麼成效那以及為什麼一個人的出國旅費會增加這麼多各位請部長說明一下
transcript.whisperx[238].start 7282.078
transcript.whisperx[238].end 7310.225
transcript.whisperx[238].text 報告委員出國經費的確是因為外面在我上任之前外面有一些批評所以我上任之後就把114年要出國做整個通盤檢討那我自己在內部已經刪掉29%的出國經費也就是說114年總出國經費是少於113年大概少了29%那這裡面當然這個包括這幾年其實因為疫情之後整個的那個cost就是包括機票包括什麼最近的確是變得非常貴包括旅館
transcript.whisperx[239].start 7310.985
transcript.whisperx[239].end 7317.715
transcript.whisperx[239].text 所以這個確實會有一些個人金會Individual會增加那這個細部關於素產署這部分我請素產署說明
transcript.whisperx[240].start 7319.904
transcript.whisperx[240].end 7347.92
transcript.whisperx[240].text 跟委員說明一下就是我們其實從total來講我們明年是降低的我們今年是396萬明年是324萬所以我跟你講是總價嘛我想是個人個人以這份為例這個明年派員出國計劃你個人一個人從5萬增加到平均增加到16萬增加三倍啊是那我沒有反對你出國那我又說第一個你要講原因嘛為什麼會增加三倍那第二個出國要做什麼事情你們數位部出國要達到什麼成效這個才是重點啊我沒有反對你出國啊
transcript.whisperx[241].start 7348.28
transcript.whisperx[241].end 7367.264
transcript.whisperx[241].text 是,那像我們要參加RSA,就是自然最大的盛會,那我們跟荷蘭有自然上面的合作,然後跟英國、歐盟有這個電子簽章的那個AI評測的相關的合作,因為它跑的距離就比較遠,是遠的歐美的,如果是東南亞可能就會錢就比較少一點
transcript.whisperx[242].start 7369.585
transcript.whisperx[242].end 7395.585
transcript.whisperx[242].text 好 謝謝說明那我還希望說後續還是要提供給大家本會委員一份說明到底這個出國的這個差別今年跟明年度那最後當然最重要還是說你們出國預計要達到什麼成效嗎因為大家過去各部會都在出國啦但是為什麼唯獨數位部大家會被特別提出來講就是看不到成效所以我們希望你們出國考察合理的但是到底要做什麼事情看了這麼多先進的數位治理的國家然後回來要做什麼事情
transcript.whisperx[243].start 7395.745
transcript.whisperx[243].end 7397.946
transcript.whisperx[243].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[244].start 7414.054
transcript.whisperx[244].end 7426.787
transcript.whisperx[244].text 裡面的內容包含說什麼建構我國數位信任環境提升通報詐騙訊息跟查詢強化商務防詐還有健全這個第三方支付等等的每一項都很大每一項都很重要
transcript.whisperx[245].start 7428.635
transcript.whisperx[245].end 7455.618
transcript.whisperx[245].text 但細節基本上在預算書裏面是看不出來了,包含說大家過去我們上次質詢也提到了這個網路詐騙的通報查詢網到底要花多少,到底那時候花多少錢那你現在這個是測試版,那真的上路之後要花多少錢這部分在這份預算裏面其實也沒有很詳列出來,我們希望說部長可以簡單說明一下你這個明年的3億你要怎麼花那因為今年給3億了,明年要花3億,那今年跟明年的差別又是什麼
transcript.whisperx[246].start 7456.098
transcript.whisperx[246].end 7474.866
transcript.whisperx[246].text 那個先對那個網路通報查詢完跟委員做個報告那那一部分明年大概是編五千五千大概不到六千萬啊五千八那主要是做這個剛剛講因為用很多AI技術所以報告AI的技術的導入就是的精進還有就是因為跑AI所以需要算力池所以算力就是報告server
transcript.whisperx[247].start 7475.026
transcript.whisperx[247].end 7475.567
transcript.whisperx[247].text 委員委員委員委員委員
transcript.whisperx[248].start 7492.824
transcript.whisperx[248].end 7516.288
transcript.whisperx[248].text 議員議員議員議員議員議員議員議員議員議員議員議員
transcript.whisperx[249].start 7516.428
transcript.whisperx[249].end 7531.618
transcript.whisperx[249].text 第二開發現在不是已經開發完了嗎?就是你還要精進因為它包括因為我們是用AI去去AI去打打詐騙嘛那AI本身要去很多的精進跟訓練還有它擴大所以這個東西還需要再開發當然第二算令你要增加經費我是說開發多少錢
transcript.whisperx[250].start 7533.459
transcript.whisperx[250].end 7533.839
transcript.whisperx[250].text 委員會議委員會議委員會議委員會議委員會議
transcript.whisperx[251].start 7559.377
transcript.whisperx[251].end 7576.466
transcript.whisperx[251].text 以10月來講我們每個月開一次委員會都在檢討這件事情光是10月一個月的財損就已經120億那等於過去這些7、8、9月到10月每個月財損都破百億那按照這個數據來看搞不好今年會破千億耶那最可怕是什麼最可怕的是已經提出來了
transcript.whisperx[252].start 7576.906
transcript.whisperx[252].end 7578.247
transcript.whisperx[252].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[253].start 7598.459
transcript.whisperx[253].end 7614.152
transcript.whisperx[253].text 是不夠呢?還是態度不知道怎麼用?部長那個 包委員我認為打詐像是一場戰爭是啊 這戰爭沒錯啊戰爭就是說我們跟詐騙集團在打仗那打仗當然就是說這個我們現在是慢慢的從一些技術我們用AI去跟詐騙集團對打
transcript.whisperx[254].start 7615.433
transcript.whisperx[254].end 7617.875
transcript.whisperx[254].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[255].start 7634.952
transcript.whisperx[255].end 7637.793
transcript.whisperx[255].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[256].start 7660.461
transcript.whisperx[256].end 7680.513
transcript.whisperx[256].text 就假公眾人物或假名人廣告我們已經看到下降很多因為我們用AI去做掃描去做防詐那有看到效果但是呢這個效果的呈現可能需要一點時間才看得到好部長的確啦因為其實一定要這樣講因為你們是第一線後續的司法怎麼處理後續的金融怎麼處理都是後端的事情但因為民眾接觸到的詐騙資訊息基本上現階段來講
transcript.whisperx[257].start 7683.114
transcript.whisperx[257].end 7685.437
transcript.whisperx[257].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[258].start 7701.283
transcript.whisperx[258].end 7718.595
transcript.whisperx[258].text 之前執行局就提過了這個第三方支付的管理的問題當然對數位部來講這是你們的主管業務但是我覺得你們的強制力很低啊我們看這個登錄機制的狀況已經有這個機制出來了但是登錄的狀況怎麼樣真正登錄的機制業者真的只有0.59%啊
transcript.whisperx[259].start 7720.316
transcript.whisperx[259].end 7723.777
transcript.whisperx[259].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算:一、審查114年度中央政府總預算
transcript.whisperx[260].start 7748.982
transcript.whisperx[260].end 7770.628
transcript.whisperx[260].text 第三方支付他本來就違法了他不可能你給他登錄你推出這個能量登錄機制的時候他就很乖的跑來登錄那你的57什麼的他就是我不登錄那你能怎麼辦呢部長他不登錄那怎麼辦那個第一個就是跟委員講你要通過第三方支付的這個能量登錄才能過去跟銀行或是跟金融單位去申請虛擬帳號
transcript.whisperx[261].start 7772.409
transcript.whisperx[261].end 7793.505
transcript.whisperx[261].text 我們這個單位其實我個人是覺得這目前是通過64家我們匯值的幾家現在是64家這64家我們當然還在持續監控這些64家是可以去申請虛擬帳號其他那1萬多家其實因為他沒有通過能量登錄所以他是不能夠去拿到虛擬帳號所以就沒辦法詐騙集團就沒辦法用這些去做詐騙這64家我們是有在管考
transcript.whisperx[262].start 7794.065
transcript.whisperx[262].end 7820.328
transcript.whisperx[262].text 那所以就是說目前我們還會精進我們對這些機構的管考所以我個人希望能夠通過的這第三萬支付的能量我們不需要多但是我們希望每一家都能夠落實資安落實他的那個所謂的這個所謂的反洗錢的能力啊這個是我們最最重視那這個我們有個不是這個來部長我還是這樣講啦他來登錄是好事當然你們可以管考那他不來登錄的他有什麼樣的機制去處理
transcript.whisperx[263].start 7821.349
transcript.whisperx[263].end 7838.61
transcript.whisperx[263].text 他不來登錄他就拿不到金融機構的帳號另外他跟委員報告就是這14000多家是因為登記的時候他可以說他要做結果他都不做但是他如果要做第三方他如果沒有登錄就做第三方他是會有兩年的刑責
transcript.whisperx[264].start 7840.1
transcript.whisperx[264].end 7863.047
transcript.whisperx[264].text 這個是後續你們要推這個吧我現在要接下來談的這個第三方支付的這個洗錢房子的這個草案你約束的是有登錄的還是沒登錄的沒有沒有如果沒有登錄從事這個行業一樣是兩年兩年的有期徒刑啊所以登錄的呢有登對不起就確認一下所以這一萬多家不管他有沒有進到你們這個登錄機制裡面對他只要進行了相關的洗錢的工作
transcript.whisperx[265].start 7863.467
transcript.whisperx[265].end 7891.025
transcript.whisperx[265].text 他會都是適用這部法律嗎?他只要從事第三方支付的營業活動的話他就會被我們這個打炸專法所管﹖第三方那個什麼洗塵防治法所管制所以我們就會去﹖如果他沒有登錄他還從事就是兩年那你這個是9月預告了嗎?那現在已經11月了什麼時候要開始送進來?開始上路?我們已經預﹖就是已經﹖對啊9月預告了啊那什麼時候開始處理這個事情?10月底10月底那個執法都會公布嘛10月底?
transcript.whisperx[266].start 7892.072
transcript.whisperx[266].end 7907.029
transcript.whisperx[266].text 11月底11月底就下禮拜而已喔對可以嗎部長對就照事成我們公布以後就會開始處罰對好部長謝謝謝謝謝謝黃建豪委員那現在休息
transcript.whisperx[267].start 7919.083
transcript.whisperx[267].end 7943.097
transcript.whisperx[267].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。四、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[268].start 7946.584
transcript.whisperx[268].end 7947.425
transcript.whisperx[268].text 委員會委員會委員會委員會
transcript.whisperx[269].start 7965.745
transcript.whisperx[269].end 7969.346
transcript.whisperx[269].text 委員會主席委員會主席委員會主席
transcript.whisperx[270].start 7993.234
transcript.whisperx[270].end 8003.984
transcript.whisperx[270].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[271].start 8009.429
transcript.whisperx[271].end 8011.41
transcript.whisperx[271].text 委員會主席委員會主席委員會
transcript.whisperx[272].start 8039.267
transcript.whisperx[272].end 8053.254
transcript.whisperx[272].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。四、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[273].start 8069.833
transcript.whisperx[273].end 8078.419
transcript.whisperx[273].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[274].start 8087.405
transcript.whisperx[274].end 8097.89
transcript.whisperx[274].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[275].start 8105.923
transcript.whisperx[275].end 8112.112
transcript.whisperx[275].text 我知道,因為這個是禮拜五,所以我才知道我現在想到的是一到五的意思。
transcript.whisperx[276].start 8122.726
transcript.whisperx[276].end 8132.253
transcript.whisperx[276].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[277].start 8142.759
transcript.whisperx[277].end 8147.8
transcript.whisperx[277].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[278].start 8168.045
transcript.whisperx[278].end 8168.466
transcript.whisperx[278].text 委員會議結束
transcript.whisperx[279].start 8198.426
transcript.whisperx[279].end 8204.35
transcript.whisperx[279].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[280].start 8224.146
transcript.whisperx[280].end 8236.676
transcript.whisperx[280].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[281].start 8241.488
transcript.whisperx[281].end 8254.913
transcript.whisperx[281].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。四、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[282].start 8270.095
transcript.whisperx[282].end 8284.234
transcript.whisperx[282].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。四、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[283].start 8288.626
transcript.whisperx[283].end 8303.241
transcript.whisperx[283].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。四、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[284].start 8307.103
transcript.whisperx[284].end 8322.61
transcript.whisperx[284].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。四、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。五、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[285].start 8515.242
transcript.whisperx[285].end 8520.307
transcript.whisperx[285].text 現在繼續開會接下來邀請蔡奇昌委員發言謝謝主席請速發布黃部長請黃部長
transcript.whisperx[286].start 8543.985
transcript.whisperx[286].end 8559.4
transcript.whisperx[286].text 部長早部長我想早上大概我前面幾個委員也都針對打詐的事情也就教你本席從第一次質詢你開始我就一直在強調在台灣詐騙
transcript.whisperx[287].start 8563.715
transcript.whisperx[287].end 8590.444
transcript.whisperx[287].text 沒有銷聲匿跡之前大概本席對書發布質詢的重中之重就是打詐所以本席今天還是延續著打詐的議題來請教這個113年的5月15號我們為了打詐通過電子簽章法7月也把詐欺犯罪危害防治條例都來通過那
transcript.whisperx[288].start 8592.303
transcript.whisperx[288].end 8615.191
transcript.whisperx[288].text 現在的進度應該是訴發部要針對這個下面的這些執法或者相關的這些辦法規則你們要去訂定整體的配套對吧沒錯那我看了一下時間9月我們就公告10月已經公告完畢了是這樣嗎
transcript.whisperx[289].start 8616.289
transcript.whisperx[289].end 8630.797
transcript.whisperx[289].text 就是我們先公告就是哪一些公司就是網路廣告平台公司要被納管對所以9月公告然後10月底要求他們提出這個文件來申請對我的意思是說立法院通過修法
transcript.whisperx[290].start 8632.401
transcript.whisperx[290].end 8653.663
transcript.whisperx[290].text 到現在為止對於詐騙我們還沒有辦法根據我們通過包括所謂電子現場法實名制等等是因為速發布的相關針對這個法令的配套相關規定還沒有完成11月30會公告執法對那換言之11月30公告完之後就
transcript.whisperx[291].start 8655.322
transcript.whisperx[291].end 8680.701
transcript.whisperx[291].text 沒有其他法規的問題了對不對好那所以我們過去宣告12月30現在等於提早一個月是嗎好這個本席非常的肯定我的意思只是在想說為什麼10月就完成所有的公告然後要再拖兩個月是不是有什麼困難啊所以你們把它提早一個月這個就是本席第一點要講的
transcript.whisperx[292].start 8681.562
transcript.whisperx[292].end 8695.498
transcript.whisperx[292].text 我不希望再拖啦因為這個空窗期實在拖太久我們對外立法院都已經三讀通過立法院是最困難的要把草野的意見都整合把社會各界意見都整合落實在法規裡面
transcript.whisperx[293].start 8696.539
transcript.whisperx[293].end 8725.538
transcript.whisperx[293].text 那最困難的我們都完成了反而我們部裡面這個行政的這些相關的這個執法配套我們沒有辦法快速把它完成這個對社會沒有辦法交代不然我們都信誓旦旦行政院宣稱我們立法院也宣稱我們法令都修了這打詐我們這個祭出雷力風刑的手段結果看起來這幾個月民眾也覺得好像也沒有什麼感覺所以這個要快速
transcript.whisperx[294].start 8726.759
transcript.whisperx[294].end 8744.857
transcript.whisperx[294].text 第二個問題就來了你11月30公告之後我想請問一下這幾個大的平台業者他根據這些法規法令包括你們配套的這些相關的規定他什麼時候開始落實啊
transcript.whisperx[295].start 8746.146
transcript.whisperx[295].end 8762.152
transcript.whisperx[295].text 實名制我們跟這些平台商就是所謂的過去幾個月在這個溝通上就是所謂的喝咖啡都有談他們都答應在明年初會開始落實這個不能講明年初啦因為他明年初不知道幾月
transcript.whisperx[296].start 8763.932
transcript.whisperx[296].end 8791.883
transcript.whisperx[296].text 一月吧那要不要部長你要不要直接告訴這些相關的平台商就是1月1號開始實施或者就是1月30號開始實施或者31號開始實施日期那個有跟他們在民說嗎這個應該要民講這個不可以再讓他們混了那還是一樣喔等立法院修法行政機關相關的配套都做好了然後現在開始哇第三關我們會開始問那平台業者什麼時候要做啊
transcript.whisperx[297].start 8794.534
transcript.whisperx[297].end 8820.849
transcript.whisperx[297].text 就是1月1號開始導入實名制那當然就是說我們先從剛剛其實在上個委員有講我們先從所謂的高風險就是說公眾沒有關係沒有關係其實大家還是在乎嘛譬如說你最大宗那幾個嘛你看你Meta站的詐騙我上一次已經把圖都畫給大家看了嘛它的比例多高部長那個八九成對嘛上一次我已經公告過了嘛
transcript.whisperx[298].start 8821.309
transcript.whisperx[298].end 8842.251
transcript.whisperx[298].text 所以說換言之我們在打詐只要鎖定幾個大的對象就搞什麼都差不多南瓜在裡面了嘛你說剩下的部分當然要做但是你先讓大家有感從那個做幾個大咖的下去就已經九成了那還是老問題那到底我們現在你公告的是幾月幾號
transcript.whisperx[299].start 8843.854
transcript.whisperx[299].end 8860.252
transcript.whisperx[299].text 那個11月底公告嘛然後1月1號開始這個我知道他開始實施啦那開始實施呢業者一定跟你說要有一個緩衝期啊我要改程式啊我要做什麼一大堆的啊然後就開始又跟你講了不知道民國幾年幾月
transcript.whisperx[300].start 8862.011
transcript.whisperx[300].end 8889.009
transcript.whisperx[300].text 才要開始落實啊一月一號就會 剛剛講一月先從所謂高風險的客戶廣告客戶先落實所以高風險的廣告客戶是一月一號開始在那裡做這個廣告就要實名了是不是包括一些大的廣告這個我覺得這個應該要講清楚一月一號所以換言之一月一號沒有做你就不准他廣告對不對高風險就是說他的廣告量大的或是像所謂的公眾人物這種對對不是
transcript.whisperx[301].start 8892.342
transcript.whisperx[301].end 8920.196
transcript.whisperx[301].text 廣告量大的定義是什麼就是說他的這個會吸引很多流量的這些廣告的我的意思是這樣啦喔Meta實施實名制沒有實名制來的他都不可以上架這個在1月1號可不可以做得到剛剛講就是不是一開始啦我們聽到的是不是全面但至少對高風險部長這個我還是要再一次的講啦
transcript.whisperx[302].start 8921.904
transcript.whisperx[302].end 8951.244
transcript.whisperx[302].text 我跟部長講齁你如果沒有公告一個很明確的時間我就給你拖啦那你公告的時間你說我要分階段實施沒有關係你就告訴我幾月幾號要實施什麼的確會分階段 這個請署長來來來 署長他持續在跟我們做技術上的一些討論那他一直在修正他的系統所以這段時間他其實很努力所以我們本來想說高風險的話讓他先上沒關係 署長我還是要講那句話不可以這樣子啦不可以他叫很努力嘛
transcript.whisperx[303].start 8952.845
transcript.whisperx[303].end 8976.278
transcript.whisperx[303].text 今天就是台灣跟韓國12強的比賽那個台北市政府說那個大巨蛋會漏水台北市政府都告訴遠雄公司啊幾月幾號如果你的漏水沒有修好我就按日處罰那現在呢修好了沒還是還沒修好啊所以台北市政府就開始罰了我跟你講啦你講幾月幾號他都不一定可以做得到啦
transcript.whisperx[304].start 8977.038
transcript.whisperx[304].end 8977.618
transcript.whisperx[304].text 我們11月底我們就把
transcript.whisperx[305].start 9002.507
transcript.whisperx[305].end 9017.16
transcript.whisperx[305].text 11月底一併公告啦好不好你們剛剛講我沒有意見你們要去怎麼做譬如說好我針對幾個大的平台業者我告訴你們你們就是幾月幾號開始凡沒有實名制的都不可以給我上架
transcript.whisperx[306].start 9017.981
transcript.whisperx[306].end 9025.689
transcript.whisperx[306].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算:一、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[307].start 9041.084
transcript.whisperx[307].end 9056.904
transcript.whisperx[307].text 例如說你廣告量大的那就怎麼樣可是我還是不贊成廣告量大啦因為詐騙的業者他那有廣告量一定大所以你都限制那些合法的業者要實名制那真的詐騙那一群人因為他廣告量一定不會很大嘛
transcript.whisperx[308].start 9057.705
transcript.whisperx[308].end 9081.614
transcript.whisperx[308].text 那你還是讓詐騙的繼續詐騙我們先從高風險說高風險就是說公眾人物他很有名然後他的廣告這些人一定要使名字對啦但是這個齁不是詐騙的本意嘛來我秀一張圖給你看啦你看齁你看齁這個齁用那個張國偉的照片嘛對不對阿這就是高風險對
transcript.whisperx[309].start 9084.612
transcript.whisperx[309].end 9099.043
transcript.whisperx[309].text 問題是問題是廣告的人叫DSG啊廣告的人不是張國偉你跟張國偉說你來就要實名制張國偉的他的受害者他不是去他去買的啊
transcript.whisperx[310].start 9100.328
transcript.whisperx[310].end 9121.777
transcript.whisperx[310].text 這一這個是什麼時候這個是現在的狀況啦我隨便在網路上找這太多了我隨便截取一張這是現在現在是什麼公告會公告法令會修法了公告會公告完了就等著你什麼時候這個實施嘛那此刻你有法規你看喔勘剝者出資者的資訊在這裡
transcript.whisperx[311].start 9123.479
transcript.whisperx[311].end 9140.212
transcript.whisperx[311].text 他用了張國偉的照片這一個人的廣告量大嗎?這個人的廣告量一定不大 對不對那你限制廣告量大你限制張國偉說張國偉你如果要廣告你的實名是因為你是知名人物不好意思我沒有廣告我就是受害者嘛
transcript.whisperx[312].start 9140.7
transcript.whisperx[312].end 9159.6
transcript.whisperx[312].text 那個報告委員兩個禮拜前Meta才公布一個技術他以後會偵測照片跟名字所以有這個技術以後這樣這種廣告就不會再出現就是說照片是張國偉啊名字不是張國偉是啦那我的意思是說我們法規你那個是你現在要做這個偵測
transcript.whisperx[313].start 9161.081
transcript.whisperx[313].end 9174.548
transcript.whisperx[313].text 你很簡單嘛你現在做這個偵測是就算你還沒有開始公告實施你也可以去偵測嘛但是我的公告實施完之後我就是要告訴你說這DSG是誰你要實名制嘛為什麼
transcript.whisperx[314].start 9175.407
transcript.whisperx[314].end 9196.196
transcript.whisperx[314].text 我接下來就要抓這個人了我還跟你在那邊亂七八糟我就直接抓這個嘛你現在是還不能抓他因為沒有實名制所以你根本不知道他是誰啊他今天叫DSG明天叫ABC啊你現在懂我的意思嗎所以我的意思就是說你要趕快落實平台業者最好的方式就是你跟Meta說
transcript.whisperx[315].start 9197.694
transcript.whisperx[315].end 9211.497
transcript.whisperx[315].text 一月幾號開始如果你還給我弄這個DSG不知道是誰的我就直接罰你250萬到1億嘛這個就是我要求的啊這個不可以再拖啦這個拖了就沒意思了那個已經
transcript.whisperx[316].start 9212.765
transcript.whisperx[316].end 9236.565
transcript.whisperx[316].text 三讀拼到這樣過去再來 立法院你們速發部也提早了本來12月30現在提早到11月30對不對結果接下來換他拖一定拖的啦我跟你說你不給他時間他就拖啦我就跟你講一個時間我現在就告訴你我現在才11月初我就告訴你Meta公司從什麼時候開始如果你沒有做到我就按日處罰你
transcript.whisperx[317].start 9238.53
transcript.whisperx[317].end 9265.267
transcript.whisperx[317].text 我不相信一天發一頁,我看他多久發了啊啊你就又叫批一批啊部長真的要加油你看齁我都看到報紙那個趙峰啊他不是速發布捏你速發布齁發臉給你啊你也是光喝咖啡而已人家趙峰是直接欸直接說他不下廣告捏還號召金融同業大家不要在Meta上面下廣告
transcript.whisperx[318].start 9266.372
transcript.whisperx[318].end 9284.443
transcript.whisperx[318].text 這叫做保守啦部長我在這個台上已經問過你很多次也跟你質詢過很多次了我跟你講過說那個咖啡齁你開始喝咖啡我說咖啡接下來可不可以泡男喝一點他再繼續不搞你就改毒藥怎麼喝咖啡哪有那麼好
transcript.whisperx[319].start 9285.874
transcript.whisperx[319].end 9303.19
transcript.whisperx[319].text 民眾被詐騙的人部長辛辛苦苦一輩子的血汗錢就這樣被詐騙這個事件不是少數啊如果說他一輩子得到招小偷一輩子可能一次啦他也沒看過小偷長什麼樣子
transcript.whisperx[320].start 9304.631
transcript.whisperx[320].end 9325.368
transcript.whisperx[320].text 可是他在生活裡面面對詐騙他是無時無刻在處理這個問題所以本席為什麼急我們沒有辦法再拖啦這種東西每天人民都在面對這種苦難所以我們行政機關、立法機關我們要苦民所苦他想要老百姓現在他在擔憂什麼問題所以本席為什麼會那麼積極
transcript.whisperx[321].start 9330.183
transcript.whisperx[321].end 9355.601
transcript.whisperx[321].text 你們這樣不配合我就不相信治不了你人民的苦難面對這些財團我們難道沒有什麼更積極更有作為的做法嗎部長我真的告訴你一句你只要把打詐做好你這抒發部就永留青史啦你這個部長就永留青史我痛恨詐騙啦我沒有質疑你不痛恨啦只是說方法跟手段啦
transcript.whisperx[322].start 9356.531
transcript.whisperx[322].end 9385.735
transcript.whisperx[322].text 我說兆豐人家都會想到說不然我也盡一點力氣我不給他廣告這個這就是手勞嘛這就是風範不是只有我我也相信你很討厭這個詐騙你恨之入所以兆豐這個很好的意思我們公司協力一起來把這個問題解決掉是啦就是你要有方法我的意思就是說這個是速發部的主線兆豐啦或者其他民間企業這個都是輔助啦
transcript.whisperx[323].start 9386.749
transcript.whisperx[323].end 9386.929
transcript.whisperx[323].text 謝謝蔡齊昌委員
transcript.whisperx[324].start 9417.608
transcript.whisperx[324].end 9439.479
transcript.whisperx[324].text 接下來邀請魯明哲召委質詢。好,謝謝主席。有請我們黃部長。有請黃部長。各位部長,委員好。
transcript.whisperx[325].start 9441.448
transcript.whisperx[325].end 9441.468
transcript.whisperx[325].text 委員會議
transcript.whisperx[326].start 9471.708
transcript.whisperx[326].end 9498.525
transcript.whisperx[326].text 那你扣掉本部的33多億大概61%的預算是放在兩個署我們治安署跟我們數位產業署裡面那在這樣的一個編排之下我看到了這個我們治安署他今天寫的報告三頁三個F頁面摩拳擦掌
transcript.whisperx[327].start 9500.029
transcript.whisperx[327].end 9515.214
transcript.whisperx[327].text 大呼小叫叫我們快一點我都準備好內容了三頁三面除了把預算付表付在後面之外好像沒什麼好說的啦或是說我們想想也沒什麼需要讓委員知道的然後45.4億的我們產業數位產業署6頁欸這個都經過你覺得這樣的準備對委員來講夠詳細嗎部長你你整體說一下
transcript.whisperx[328].start 9529.088
transcript.whisperx[328].end 9547.64
transcript.whisperx[328].text 三月拿7.9億然後45.4億他寫了六月你覺得你看過這個報告你都沒有說這報告不應該這麼不詳細嗎那個預算書已經送立法院再請那個主席處長出名
transcript.whisperx[329].start 9549.137
transcript.whisperx[329].end 9573.953
transcript.whisperx[329].text 報告委員我們行政院在8月31號以前已經把中央政府總預算包括數發布的預算還有兩署的預算全部都送到各委員辦公室送到立法院我說你在說明你這成本的預算說明用人話你們的專業話想要去說明明年度為什麼要委員支持你們的預算就丟一本預算給我們就結束了嗎
transcript.whisperx[330].start 9575.974
transcript.whisperx[330].end 9602.445
transcript.whisperx[330].text 今天為什麼要排這個預算報告報告說什麼預算丟給你還報告什麼不要排了嘛也不要審了嘛我就覺得你們用3月6月報告去總共兩個署50級的預算我建議部長你可以去思考一下這一個形式上的一個尊重的一個態度會有問題好那我們再來看這個我們產業署啊產業署的副署長你先上來一下支援一下部長
transcript.whisperx[331].start 9603.939
transcript.whisperx[331].end 9619.589
transcript.whisperx[331].text 我可以看到預算是越來越豐滿但是我們比較關心企業跟民眾有沒有感我們數位部算是各部會一個比較新成立的部會也代表了民眾在新的時代有很多的一個期待
transcript.whisperx[332].start 9620.63
transcript.whisperx[332].end 9649.087
transcript.whisperx[332].text 到底我們企業跟民眾有沒有感呢?我們看到今年度成長幅度最高的我們整個數位部本部加兩署成長了15.6億其中將近10億都在產業發展署數位產業署數位產業署裡面你們自己大概多了10億但我們來看一下你們人數多了13人兵力就位成長兵力成長
transcript.whisperx[333].start 9650.488
transcript.whisperx[333].end 9662.959
transcript.whisperx[333].text 預算成長到底準備幹事了吧自己為為我們這個國民要拼一下嘛但我們來看一下呢在比較預算上面112年我從25.8億我們的產業署到114年45.4億你的整體預算在這個署內成長75%成長43%算是算是成長的不少喔
transcript.whisperx[334].start 9676.61
transcript.whisperx[334].end 9689.016
transcript.whisperx[334].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。二、審查114年度中央政府總預算提案於12月3日中央政府總預算提案於12月3日中央政府總預算提案於12月3日中央政府總預算提案於12月3日
transcript.whisperx[335].start 9696.039
transcript.whisperx[335].end 9705.841
transcript.whisperx[335].text 學術單位、企業單位、顧問公司在做到底在做什麼東西你們現在委辦費在持續增高委辦費在112年才12.2億現在委辦費高達31.4億成長150.157億啊你這樣的預算增加委辦費副組長你說一下什麼原因啊那你增加13個人是要做什麼的
transcript.whisperx[336].start 9721.954
transcript.whisperx[336].end 9735.834
transcript.whisperx[336].text 跟委員報告 送公文是不是 131隊只要用在打詐的一些推動 13人是增加在打詐的工作上面 增加在打詐嘛 那委外有打詐嗎
transcript.whisperx[337].start 9737.175
transcript.whisperx[337].end 9765.413
transcript.whisperx[337].text 委外的部份不是打詐的部份最主要有三塊第一塊是我們的AI的推動的部份現在生成那次AI對大家產業未來的發展很重要那第二個是我們的數位的公共建設部份包括我們要建立一些篆力池讓置物業可以來使用那第三個部份就是我們會給地方政府明年開始會有一個公建給地方政府來申請就是我們那個城市建模的部份就類似我們過去的數位成長的計畫
transcript.whisperx[338].start 9766.213
transcript.whisperx[338].end 9787.338
transcript.whisperx[338].text 除了看到你的署內預算大幅增加啦因為今天時間有限,細部我們在審預算都在討論可是大家都關心打詐的部分嘛那打詐的部分已經談了很多次了數據就不要再講了被詐騙的金額、詐騙的次數可能是今年比較有接入吧所以大幅的一個成長
transcript.whisperx[339].start 9788.158
transcript.whisperx[339].end 9791.54
transcript.whisperx[339].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[340].start 9804.881
transcript.whisperx[340].end 9831.532
transcript.whisperx[340].text 我感覺數位部你開始發功了但是人民覺得績效沒有很好啊剛剛很多委員都說啊那我就請問一下部長你到底覺得在市詐賭詐打詐上面越打越詐的原因在數位部的原因是什麼你可以跟我講一下報告委員那個我想剛剛有講過這幾個問題一個就是說我們第一個打詐是詐騙的源頭一直在變嘛那現在我們當然就是用AI技術要去掃這個詐騙那
transcript.whisperx[341].start 9833.633
transcript.whisperx[341].end 9854.913
transcript.whisperx[341].text 過去我上任之後我們也發展了一些技術目前我們看到的是尤其在網路廣告平台上面的詐騙確實有減少但是這個減少在反映到金額的部分需要一點時間因為今天看到的金額是可能因為詐騙集團是養套殺他們可能都是在3到6個月以前就開始接觸這些被騙的人
transcript.whisperx[342].start 9855.674
transcript.whisperx[342].end 9880.111
transcript.whisperx[342].text 議員議員議員議員議員
transcript.whisperx[343].start 9880.111
transcript.whisperx[343].end 9902.159
transcript.whisperx[343].text 議員議員
transcript.whisperx[344].start 9902.159
transcript.whisperx[344].end 9918.268
transcript.whisperx[344].text 議員議員議員議員
transcript.whisperx[345].start 9919.333
transcript.whisperx[345].end 9944.074
transcript.whisperx[345].text 這也是產業署嘛產業署你們在做的網路詐騙通報查詢軟體啊那大家也說了很多次嘛那你們現在還在測試嘛在測試在修正那我們也要負責任幫你去測試一下所以我們請辦公室的秘書好好在最近幫你做一個測試啊我們希望你正式版上任的時候我們現在談到的問題不能再有你剛剛特別講相信
transcript.whisperx[346].start 9944.734
transcript.whisperx[346].end 9959.805
transcript.whisperx[346].text 在各部會的團隊打詐國家隊努力之下能夠減少你講的是重點啊就你一個人努力沒有用啊你做一個很好用的softwareAPP讓民眾方便檢舉但是後端不處理沒有用喔先講沒有用喔
transcript.whisperx[347].start 9960.586
transcript.whisperx[347].end 9986.627
transcript.whisperx[347].text 那我跟你講現在發生了三個樣態我們自己辦公室適到的第一個呢是判定延誤啊 不會不理睬我就講第一個啦你優化軟體如果你沒有優化打架國家對所設的單位部會他們的效能效率重不重視這件事的話這件事情是事倍功半所以我們看到了到現在還掛在網上你們11月6號這第一個
transcript.whisperx[348].start 9991.351
transcript.whisperx[348].end 9997.238
transcript.whisperx[348].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[349].start 10003.437
transcript.whisperx[349].end 10031.523
transcript.whisperx[349].text 衛福部確認中這是豬隊友嗎還是他比較大尾沒有啊到底是詐騙嗎你知道網路詐騙一天攻擊次數非常多我不要說現在知道你今天給我今天24小時內你給我一個明確的答案就算慢了嘛在數位的時代你還有7天6天7天你們自己去看我待會今年只給你們到現在還在確認中代表有些不會
transcript.whisperx[350].start 10032.463
transcript.whisperx[350].end 10041.767
transcript.whisperx[350].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算:一、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算:完整會議二、審查11月5日中央政府總預算案關於數位發展部資通安全署單位預算:完整會議
transcript.whisperx[351].start 10063.038
transcript.whisperx[351].end 10064.12
transcript.whisperx[351].text 第三類是你真的詐騙
transcript.whisperx[352].start 10077.011
transcript.whisperx[352].end 10103.158
transcript.whisperx[352].text 我要拜託你好今天真的是給你們這中間的有一些的情況尤其部會中間的效率五六天七八天雖然沒有判定完成那最後我也拜託一下啦因為我也不知道你們講了這麼多咖啡跟這些社群軟體也說了這麼多我不知道我們的召委應該常常有遇到這個問題啦那給我們藍勾勾不是藍勾勾沒有什麼好教啊就是什麼查證啊確認再三確認FB好不容易
transcript.whisperx[353].start 10106.019
transcript.whisperx[353].end 10106.339
transcript.whisperx[353].text 委員會委員會委員會委員會委員會委員會
transcript.whisperx[354].start 10133.046
transcript.whisperx[354].end 10133.066
transcript.whisperx[354].text 議員8打詐
transcript.whisperx[355].start 10158.152
transcript.whisperx[355].end 10177.873
transcript.whisperx[355].text 這個我們的這個執法通過在11月底我們會通過明年1月開始會實施這個就不會所以自然就不會出現也不用檢舉了實名制就實名制如果那個meta若是實名制的話哇你真的很有信心喔對這個我們我也希望這真的很麻煩對那個如果他們不配合我們剛剛講就會開始罰錢對
transcript.whisperx[356].start 10179.895
transcript.whisperx[356].end 10181.816
transcript.whisperx[356].text 接下來邀請徐富奎委員發言
transcript.whisperx[357].start 10212.781
transcript.whisperx[357].end 10213.365
transcript.whisperx[357].text 謝謝主席,有請我們黃部長
transcript.whisperx[358].start 10220.41
transcript.whisperx[358].end 10245.389
transcript.whisperx[358].text 委員好部長好部長左院長在我們前天11號有召開治安會報針對這個我們這個電信的電商的平台的部分有做一些的指示嗎但是很諷刺的是我們從11月11號的打詐一標板發現光是網路購物的詐騙案件就高達110件損失金額有490萬那我想隨著這個電商平台
transcript.whisperx[359].start 10250.333
transcript.whisperx[359].end 10263.763
transcript.whisperx[359].text 議員議員
transcript.whisperx[360].start 10264.438
transcript.whisperx[360].end 10264.458
transcript.whisperx[360].text 委員會議
transcript.whisperx[361].start 10280.782
transcript.whisperx[361].end 10296.417
transcript.whisperx[361].text 他們這個詔兵集團就馬上換了一個新的手法了那所以針對這樣子一個我們一個輔導的成效如何輔導業者做一個事前防護事中應變還有事後改善的一個策略博定能不能說明一下
transcript.whisperx[362].start 10297.223
transcript.whisperx[362].end 10315.133
transcript.whisperx[362].text 電商的確是一個問題,電商的資安過去是一個漏洞所以我們在電商裡面的有一些集合跟一些甚至於我們將來要電商我們去集合的時候要做紅隊演練對他的這個資安要做提升這個是一個最主要的一個我覺得是目前最大的問題
transcript.whisperx[363].start 10316.053
transcript.whisperx[363].end 10330.385
transcript.whisperx[363].text 那這個我想這個做法我請那個署長再補充一下對部長我想除了要求他們要配合之外我們真的有沒有什麼監督的機制到底有沒有做沒做我們有沒有怎麼樣一個監督機制來檢視一下
transcript.whisperx[364].start 10333.241
transcript.whisperx[364].end 10357.16
transcript.whisperx[364].text 主要是兩個一個是行政檢查就是我們應該是所有大型電商都檢查了就看他們自然有沒有做好各自有沒有外有沒有保護有沒有做好這個那第二個是我們還會用防炸雷達去集合他看他有沒有一些違法的一些外賣界違法的一些產品或者一些詐騙的一些商品這個我們都會用外部的低量拒接當然剛剛陳吳魯委員講他們關鍵字都會變嘛所以我們會一直在更新我們的關鍵字
transcript.whisperx[365].start 10361.991
transcript.whisperx[365].end 10362.111
transcript.whisperx[365].text 委員會主席
transcript.whisperx[366].start 10379.394
transcript.whisperx[366].end 10379.414
transcript.whisperx[366].text 委員會長
transcript.whisperx[367].start 10394.411
transcript.whisperx[367].end 10409.065
transcript.whisperx[367].text 委員因為本市比較擔心因為這個有牽扯到數位的速發部之外還有我們經濟部還有交通部好幾個部會啦齁我跟他講這個跌穿交之後齁啊到底什麼人要付錢什麼人要處理什麼部分有沒有一個怎樣的一個完整的一個機制
transcript.whisperx[368].start 10412.804
transcript.whisperx[368].end 10431.248
transcript.whisperx[368].text 委員講的是就是我們這個跨部會的一個協調的機制到底有沒有各就各位我們有一個分工的原則我們現在是有通常會在要召集各部會來做一些網際網路的分工的原則大家都在探討
transcript.whisperx[369].start 10432.929
transcript.whisperx[369].end 10448.937
transcript.whisperx[369].text 對有這個原則我知道但是到底會不會就這樣的原則去落實去處理我們擔心是有這個架構但是到時候各推各的責任目前就我們的部分我們執行的還可以就在電商的部分其實現在已經沒有列入165的高風險的賣場我們本部俠管的
transcript.whisperx[370].start 10452.717
transcript.whisperx[370].end 10477.876
transcript.whisperx[370].text 所以是不是未來我們針對這樣一個跨部位的機制我們要怎麼樣加速一個資安通報的一個流程有效處理這個駭客入侵的案子數位部有信心嗎那個資安通報我們也有設的這樣一個機制所以本來就是在接受各方面通報這個是的確有這樣的機制都存在所以任何資安的事件我們都會很快的收到通報然後通知大家這樣
transcript.whisperx[371].start 10478.516
transcript.whisperx[371].end 10507.51
transcript.whisperx[371].text 部長這個剛剛我們很多委員有提到說我們出獄的速度真的有比較慢一點這個真的要再檢討一下內部檢討一下另外第一個針對我們2025即將邁入這個超高齡的一個社會那我們面臨所謂一個老人照顧的一個需求還有少子化帶來一個勞動力一個短缺的一個挑戰那我想請教部長針對這個我們現在5G專品的一個運用在所謂的醫療機器人來巡視病房
transcript.whisperx[372].start 10508.01
transcript.whisperx[372].end 10535.003
transcript.whisperx[372].text 或是進行一個視訊診療的部分部長這部分是不是有跟衛福部有做一個相關的一個合作的一個機制這個我們有一些AI的補助計畫那這個計畫申請的公司其實也有跨剛剛講江惠湖這一邊我是不是請署長做個說明我們舉兩個案例第一個是我們有一個安妮婆婆的她就照顧老人需要讓外傭去練習怎麼去翻身嘛這安妮婆婆的一個另外的話
transcript.whisperx[373].start 10536.083
transcript.whisperx[373].end 10563.754
transcript.whisperx[373].text 我們還有其他的包括偵測那種失智症老人會不會他的整個動作會被打下一動作會被打人這樣子預先讓讓照顧員可以知道類似這樣的案例我們還有還蠻多的對我想部長這個是很好的一個這個合作的一個機制那尤其現在醫護的人力也短缺那我們這個針對這個長照的需求也明顯的增加應該是在協助我們衛福部跟醫療院所的強化這個方面
transcript.whisperx[374].start 10563.854
transcript.whisperx[374].end 10589.541
transcript.whisperx[374].text 我們技術上就是用生成式AI跟這些部位來產生更好的服務這個有在進行對另外我們很多的農民朋友他們也擔心這個缺工的問題那所以目前工研院有透過5G跟AI辨識系統有一個開發一個自動巡檢的一個設備這個可以做到一些人力的一個減少的一個需求那這部分是不是輸貨部有沒有相關的一個輔導的機制
transcript.whisperx[375].start 10591.382
transcript.whisperx[375].end 10615.296
transcript.whisperx[375].text 對這個就是利用這個剛剛講的自動巡檢用這個影像辨識AI判斷這個也是一個在農業上的巡就是說這種無人機啊這些去做巡檢這個是也是一個趨勢那我們也在技術上對那個可以擴散這個我們已經有計劃我們從其實從黑木耳開始香菇、蘭花等等我們會一直持續擴散到不同的這個作物是相同的方法
transcript.whisperx[376].start 10616.036
transcript.whisperx[376].end 10616.056
transcript.whisperx[376].text 委員會議長
transcript.whisperx[377].start 10630.993
transcript.whisperx[377].end 10657.823
transcript.whisperx[377].text 請部長的協助向屏東我們這個尤其偏鄉一些比較原鄉的地區針對這些老人家也好能夠加強一些資訊教育尤其這些防詐的一些資訊那我想部長這個我們是不是有辦法能夠多辦一些的這樣類似一個展覽或是一個怎麼樣的一個形式的活動讓這個相關的一些5G的技術能夠融入百姓的生活裡面
transcript.whisperx[378].start 10658.163
transcript.whisperx[378].end 10673.41
transcript.whisperx[378].text 讓大家能夠運用這樣一個技術然後享受一個智慧科技的一個便利性有沒有做這樣一個計畫我們打算就是把一些故事做成一些這個說明或是短影然後再到處宣傳大家怎麼去用這些技術
transcript.whisperx[379].start 10674.53
transcript.whisperx[379].end 10692.361
transcript.whisperx[379].text 委員長我本期上次有提醒過就是我們現在因為我們都有每個村裡都有關懷據點嘛齁啊其實透過這樣關懷據點可以看這些影片然後去學習一些東西然後以增加一些觀念啊這個是很好的一個措施啊對我想能夠再強化一下這部分
transcript.whisperx[380].start 10693.181
transcript.whisperx[380].end 10715.301
transcript.whisperx[380].text 最後一個我想針對臺灣市場面臨這個中國跨境電商淘寶的一個侵害很嚴重那尤其這個最近發現了一個在捷運公司的一個廣告不時廣告那這部分部長我們有做什麼樣一個處理這個已經下架了所以後續我們有在追蹤嗎我們會持續追蹤那這個我們有持續在監控的
transcript.whisperx[381].start 10718.769
transcript.whisperx[381].end 10719.89
transcript.whisperx[381].text 接下來邀請廖新祥委員發言
transcript.whisperx[382].start 10756.561
transcript.whisperx[382].end 10759.122
transcript.whisperx[382].text 請黃部長今天要跟您請教這個國家數位任性的問題那相關的如果說有關單位一起陪同沒關係在今年7月的時候這個全球的這個
transcript.whisperx[383].start 10779.77
transcript.whisperx[383].end 10780.57
transcript.whisperx[383].text 請問一下我們速發部我們有沒有思考過畢竟
transcript.whisperx[384].start 10807.542
transcript.whisperx[384].end 10830.858
transcript.whisperx[384].text 這國際上沒有永遠的朋友也沒有永遠的敵人那在考慮在考慮數位任性這件事情上面其實全球所有的無論是公部門或私部門對於微軟的依賴都是非常的深那如果有一天微軟停止了提供我們台灣中華民國的軟體的服務那我們國家會發生什麼事情你們有沒有做過相關的評估
transcript.whisperx[385].start 10833.002
transcript.whisperx[385].end 10860.772
transcript.whisperx[385].text 報告委員那個目前當然我們系統有兩種一種是微軟一種是Ninux就是open source的對Ninux對所以就是說基本上我想就是在很多的服務上就是像backend server的雲端就不見得是微軟我們有用到很多的雲端的服務所以就是說我們當然微軟是我們現在最主要的那個在像在前端的desktop來一些應用可是就是說第一個我覺得這個微軟會
transcript.whisperx[386].start 10862.192
transcript.whisperx[386].end 10874.74
transcript.whisperx[386].text 停止服務這個事情大概是一個很小的Property不過就算這樣子我們後段的一些Backup的一些這個系統就分成兩個部分啦第一個是第一個第一時間他可能會對我們國家發生了多大的危害
transcript.whisperx[387].start 10875.643
transcript.whisperx[387].end 10878.805
transcript.whisperx[387].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[388].start 10902.677
transcript.whisperx[388].end 10926.656
transcript.whisperx[388].text 除了這個金融系統一定還有各行部包括我們所有的政府機關的跨部會的一些公文系統電腦等等的全部都是用微軟嗎沒有我們現在有一些這個用open source啦像openoffice就不見得會microsoft的office所以的確那個有很多軟體我們是盡量的走open source走public code這樣去做那這樣就是因為讓我們比較能夠掌控
transcript.whisperx[389].start 10927.596
transcript.whisperx[389].end 10950.137
transcript.whisperx[389].text 所以沒關係那我問部長那部長的意思應該是我們可能我們的數位部沒有做過相關的評估啦應該是沒有所以說你們可能沒有辦法跟我說他會對我們造成多大的一個衝擊那這件事情我希望我們這個數發部能夠重視因為未來世界會怎麼樣我們不知道因為包括美中的一個衝突等等的
transcript.whisperx[390].start 10950.757
transcript.whisperx[390].end 10951.578
transcript.whisperx[390].text 二、審查114年度中央政府總預算案關於數位發展部資
transcript.whisperx[391].start 10967.992
transcript.whisperx[391].end 10969.853
transcript.whisperx[391].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[392].start 10988.487
transcript.whisperx[392].end 11008.632
transcript.whisperx[392].text 那對於我們的國家無論是政府部門或民間部門的衝擊會有劇烈的程度可以嗎評估好我們就是再請我們的部門做評估不過我還是講就是說我們走向open source也是我們的一個effort是這絕對要走了所以我也是第二個部分就是請教我們部長第一個部長你要多少時間你先講
transcript.whisperx[393].start 11009.468
transcript.whisperx[393].end 11024.835
transcript.whisperx[393].text 那個評估的話那個這個一個月我們評估一下其實這份報告也不只是給立法院應該是要給我們所有有關的部門讓他們知道未來如果發生這件事情的時候他們會怎麼樣
transcript.whisperx[394].start 11025.976
transcript.whisperx[394].end 11044.486
transcript.whisperx[394].text 他們可能不知道為什麼會這樣嘛對不對那包括未來剛剛那以及下一個部分我們的Linux我們可能需要用Linux來重建我們的國家的系統包括國家優先那可能民間其次你們有沒有評估過需要多久的時間能夠用Linux至少大體上去取代微軟的系統
transcript.whisperx[395].start 11045.575
transcript.whisperx[395].end 11065.152
transcript.whisperx[395].text 就是這個沒有評估過但是我們可以再但是就是像委員講就是我們逐步的減少對proprietary的那個系統的依賴所以當然就是我們逐步在在在就是包括像AI我們要講主權的AI就是我們要有自己的model像這種事情我們都在做
transcript.whisperx[396].start 11065.552
transcript.whisperx[396].end 11090.013
transcript.whisperx[396].text 是原因就是要減少對外面的依賴但這個當然是一個比較long term的effort不過我們的確有擔心這樣的問題所以的確有在各位覺得他是一個架構的問題我們不可能在第一時間問題發生的時候馬上就要求你在今天幾個小時內去解決問題但是我們應該有一個優先順序因為我們的國內的資訊軟體人才的量能其實是有限的專業人才量能有限我們應該要去盤點
transcript.whisperx[397].start 11091.634
transcript.whisperx[397].end 11091.754
transcript.whisperx[397].text 委員會主席
transcript.whisperx[398].start 11108.254
transcript.whisperx[398].end 11124.192
transcript.whisperx[398].text 全部都支援到嘛對不對好不好我希望我們出發部當然打仗是非常重要但是我覺得這個我們出發部應該有更高的一個責任跟你們專業的部分在這上面第一個部分就是剛剛講的評估報告第二個就是我們重建的一個系統
transcript.whisperx[399].start 11125.394
transcript.whisperx[399].end 11145.596
transcript.whisperx[399].text 這兩件事情希望我們這個書發部未來能夠提供那第二個剛剛部長有講到我們這個國內的一個AI的一個系統的一個可能研發嘛等等的我們書發部有在補助國內的機關團體或是民間機構或是投資相關機構去做AI的一個研發嗎
transcript.whisperx[400].start 11146.516
transcript.whisperx[400].end 11160.817
transcript.whisperx[400].text 我們有提供像AI算力池我們有個計畫就是在建算力池讓民間的公司能夠來用我們的算力池因為AI的設備跟服務其實是蠻貴的那所以這個是我們在鼓勵local在應用面
transcript.whisperx[401].start 11161.578
transcript.whisperx[401].end 11165.22
transcript.whisperx[401].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[402].start 11187.975
transcript.whisperx[402].end 11188.135
transcript.whisperx[402].text 二、審查
transcript.whisperx[403].start 11205.475
transcript.whisperx[403].end 11208.437
transcript.whisperx[403].text 二、審查114年度中央政府總預算案關於數位發展部資
transcript.whisperx[404].start 11221.716
transcript.whisperx[404].end 11221.736
transcript.whisperx[404].text 委員會議
transcript.whisperx[405].start 11239.739
transcript.whisperx[405].end 11243.441
transcript.whisperx[405].text 拜託政府應該相對應比過往更多的一些預算
transcript.whisperx[406].start 11268.677
transcript.whisperx[406].end 11296.152
transcript.whisperx[406].text 觀眾謙虛
transcript.whisperx[407].start 11297.823
transcript.whisperx[407].end 11321.713
transcript.whisperx[407].text 好謝謝廖先祥委員接下來邀請邱若驊委員發言謝謝主席主席請速發布黃部長還有資安署的謝署長請黃部長還有謝署長好委員好
transcript.whisperx[408].start 11326.098
transcript.whisperx[408].end 11351.553
transcript.whisperx[408].text 部長好同樣的我們延續剛剛的AI議題有幾個問題要請教部長還有署長來我們來做探討那我們今天要討論的是ChatGPTChatGPT在2022年12月的時候推出那隨後在全球就掀起了浪潮那根據ChatGPT他們研發公司OpenAI的資料顯示每週經常的使用戶數有2億人那由此可見
transcript.whisperx[409].start 11352.293
transcript.whisperx[409].end 11381.153
transcript.whisperx[409].text 生成式的AI已經成為了全球的主流趨勢還有普及化本席就生成式AI所造成的潛在風險和未來發展的可能性請教部長還有署長2022年12月之後公部門所有的自動設備還有所屬的場域全面禁用抖音還有TikTok公部門所配有的手機平板還有電腦都不能下載這兩款APP請問署長還有我們部長全面禁用抖音和TikTok的原因是什麼在當時
transcript.whisperx[410].start 11382.312
transcript.whisperx[410].end 11383.412
transcript.whisperx[410].text 議員提到的是各自的疑慮嗎?
transcript.whisperx[411].start 11405.441
transcript.whisperx[411].end 11408.943
transcript.whisperx[411].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算:一、審查114年度中央政府總預算:完整會議二、審查114年度中央政府總預算:完整會議
transcript.whisperx[412].start 11431.135
transcript.whisperx[412].end 11442.561
transcript.whisperx[412].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[413].start 11460.911
transcript.whisperx[413].end 11477.428
transcript.whisperx[413].text 外泄那在2023年的5月高達高峰那尤其有更重要的是那個報告還有指出洩漏區域以亞太地區作為嚴重居宇榜首那其次是中東非洲還有歐洲那面對這個問題去年行政院他們也在8月的時候
transcript.whisperx[414].start 11477.768
transcript.whisperx[414].end 11497.07
transcript.whisperx[414].text 通過行政院所屬的機關機構使用深層式AI參考指引那經管會也在今年6月20號通過金融業運用人工智慧AI指引代表深層式AI確實有資安盈利部長和署長你們知道這指引的內容嗎?這個指引都知道那其中最重要的幾點可不可以就是
transcript.whisperx[415].start 11500.009
transcript.whisperx[415].end 11503.791
transcript.whisperx[415].text 公務資料不要上傳公務資料不要上傳公務資料不要上傳公務資料不要上傳公務資料不要上傳公務資料不要上傳公務資料不要上傳公務資料不要上傳
transcript.whisperx[416].start 11524.403
transcript.whisperx[416].end 11540.151
transcript.whisperx[416].text 另外這個指引有要求說我們要選用比較就是可信賴的服務但是就治安來說就治安來說其實只要是外部的不能做設定跟防護的你應該在使用上都是參考那也同步回應剛剛委員問到的其實我們會希望公務機關除了你
transcript.whisperx[417].start 11546.194
transcript.whisperx[417].end 11546.214
transcript.whisperx[417].text 委員會議
transcript.whisperx[418].start 11569.083
transcript.whisperx[418].end 11571.865
transcript.whisperx[418].text 速發部是不是發展我們AI的科技主要的主管機構之一?我們是好幾個部一起合作要做AI的發展跟管理
transcript.whisperx[419].start 11585.627
transcript.whisperx[419].end 11608.343
transcript.whisperx[419].text 那其中建立AI生態系算力還有資料收集還有能力的培育是在我們速發部沒有錯吧對有一部分工作是在我們這裡那既然速發部和資安署是我國公部門資訊安全相關業務的重要的機構那請問署長還有部長那關於生成式AI服務平台像是CHAT、GPT還有等相關應用的程式是否有危害國家之痛的疑慮呢
transcript.whisperx[420].start 11609.364
transcript.whisperx[420].end 11628.161
transcript.whisperx[420].text 我們危害國家通安全的這個定義是針對中國製的設備的產品其實沒有若以這個那等於這邊要提到目前有很多國際知名的企業他們因為為了怕防止洩密他們他們禁用checkGPT那checkGPT在我們台灣目前呢
transcript.whisperx[421].start 11628.641
transcript.whisperx[421].end 11629.382
transcript.whisperx[421].text 三星還有美國的蘋果呢
transcript.whisperx[422].start 11646.192
transcript.whisperx[422].end 11657.978
transcript.whisperx[422].text 美國的蘋果、Amazon、Verizon、美國銀行還有花旗集團他們都禁止在他們內部公司使用那在我們台灣我們公部門是不是應該要來禁止使用ChatGPT?
transcript.whisperx[423].start 11659.068
transcript.whisperx[423].end 11675.994
transcript.whisperx[423].text 我剛講就說這個東西是由各個單位自己去決定那目前我們行政院他們推出的指引部長署長認為力度夠嗎現在就說不能把我們再請那個署長說明我們事實上指引裡面對這個有一些要求再說明一下
transcript.whisperx[424].start 11677.125
transcript.whisperx[424].end 11700.885
transcript.whisperx[424].text 報告委員其實不管他的規定他現在的規定是只要是公務跟機密你都不應該傳上去但是我們會覺得說除了CHAT GPT之外所有要跟你要的資料因為現在所有的軟體跟所有的系統都試著跟你要資料不是剛剛提到TikTok跟抖音部長有提到是中國嗎那現在CHAT GPT在美國像Apple跟Samsung Verizon他們也都是禁用的那這樣是不是有雙重標準
transcript.whisperx[425].start 11702.969
transcript.whisperx[425].end 11715.903
transcript.whisperx[425].text 報告委員其實我們的指引跟相關的規範是你不應該把公務的東西傳給你不認識的人包含確GPT他後面的分析不知道是誰我們數位數位部有沒有使用過確GPT數位部有沒有
transcript.whisperx[426].start 11719.077
transcript.whisperx[426].end 11740.596
transcript.whisperx[426].text 對阿,內部的人工或是你們正在建立一個AI生態系你們應該有去了解TPTN目前提供的服務的內容大概是什麼樣嗎有去研究生成式AI會用到好幾個工具包括Google都有,我們會了解他們的功能是什麼不過我們
transcript.whisperx[427].start 11741.076
transcript.whisperx[427].end 11767.042
transcript.whisperx[427].text 我想他收集的數據不只是在Google吧是全球各網站對不對就是我剛才有幾個重要的就是我剛才講這大型的那是不是如果是這樣子的話那再發布在我們台灣新聞的話那其他在海外的用戶他也可以知道目前我們的國情像是軍力還有國防相關的我們沒有把我們這些資料拿去我不是說我是說CHAT GPT上面他只要透過在這個在這個這個OpenAI的服務上面他也可以知道我們目前現在台灣的情況啊
transcript.whisperx[428].start 11767.978
transcript.whisperx[428].end 11768.478
transcript.whisperx[428].text 議員8立法院第11屆第2會期交通委員會議
transcript.whisperx[429].start 11790.285
transcript.whisperx[429].end 11811.507
transcript.whisperx[429].text 目前我質疑裡面就是這樣說就是我們不能把公務的資料放到沒有人會把公務的資料放在CHAT GPT上面可是他如果說要做如果他拿不到我們資料他裡面的LRM就不會有我們的資料所以就不用擔心說別人會看到我們的資料因為他根本就是我們的資料不會給他用所以他根本看不到
transcript.whisperx[430].start 11811.527
transcript.whisperx[430].end 11813.007
transcript.whisperx[430].text 請部長和署長我回去之後再演繹再給本席書面報告謝謝主席謝謝邱若驊委員
transcript.whisperx[431].start 11843.922
transcript.whisperx[431].end 11864.658
transcript.whisperx[431].text 接下來邀請陳雪生委員發言。好,謝謝章偉。是不是請速發部黃部長。好,請黃部長。欸?
transcript.whisperx[432].start 11875.184
transcript.whisperx[432].end 11891.325
transcript.whisperx[432].text 這次11月6日、7日我們去馬祖做交通委員會考察,部長沒有去,派了市長去了。我想請問部長,速發部跟NCC跟中華電信你們三者之間什麼關係?
transcript.whisperx[433].start 11896.715
transcript.whisperx[433].end 11912.451
transcript.whisperx[433].text 我們是輔導跟獎勵,監理還是NCC,中華電信在維運上是NCC在監管預算是你們編嗎?為什麼很多中華電信或NCC都要向你們要錢?你們只管政策嗎?
transcript.whisperx[434].start 11915.353
transcript.whisperx[434].end 11928.969
transcript.whisperx[434].text 獎勵獎勵因為我感覺很像NCC很像是多餘的齁會不會跌床駕屋那個剛剛講就是那個電信啊這些的監理還是在NCC我們不管Operation就平常維運我們不管那你們跟NCC的關係勒
transcript.whisperx[435].start 11930.27
transcript.whisperx[435].end 11948.497
transcript.whisperx[435].text 我們跟NCC的關係基本上就是剛剛講像這個獎勵這個譬如說偏鄉或者是說獎勵這種貧苦的分配這個我們在處理就屬於因為你們是平行單位我們是平行單位我們是原就是說在這個剛剛講就貧苦的發放還有就是偏鄉的獎勵這個我們會處理
transcript.whisperx[436].start 11952.372
transcript.whisperx[436].end 11981.302
transcript.whisperx[436].text 我們從111年到113年大概我們海嵐損壞了17次17次的原因我不曉得有沒有去檢查你們光112年2月2號跟2月8號那麼第二號海嵐第三號海嵐雙段都斷掉了斷掉的話當然現在就微波來代替微波的替代率功能現在會比海嵐好嗎
transcript.whisperx[437].start 11982.875
transcript.whisperx[437].end 11985.136
transcript.whisperx[437].text 那微波再壞了咧?微波再壞了怎麼辦?
transcript.whisperx[438].start 12009.624
transcript.whisperx[438].end 12011.788
transcript.whisperx[438].text 微博在外就是衛星,我們現在也有低軌衛星可以使用
transcript.whisperx[439].start 12016.468
transcript.whisperx[439].end 12032.491
transcript.whisperx[439].text 你們現在損壞的原因是大陸漁船還是他們海警船還是我們因為風浪的關係斷了,你們有沒有去探討?瞭解是因為是被漁船勾斷,目前的瞭解是這樣子因為新聞報導是有老公故意把它弄壞的
transcript.whisperx[440].start 12040.641
transcript.whisperx[440].end 12068.294
transcript.whisperx[440].text 這個我不確定,但是知道是漁船去不管是故意或是現在詐騙極端很多啊,到底你讀錯的事情我們沒有確實的,我們只知道被漁船勾斷,那漁船為什麼要勾斷我們沒有辦法去查網路啦、臉書啦、說說說什麼審什麼某某大佬又掛了又什麼的我第二天一看節目上又出現了,沒事啊講的跟真的一樣啊,你們這個都不會去追嗎?
transcript.whisperx[441].start 12072.553
transcript.whisperx[441].end 12095.071
transcript.whisperx[441].text 這個新聞這樣子網路裡面臉書出來就算了就結束了你們相關單位會不會去追查目前這個所謂的假訊息這一塊這一塊的我們只能從剛剛講就是說從技術面去看這是不是假訊息至於內容部分目前是不是啊因為尤其打詐防騙啊
transcript.whisperx[442].start 12096.482
transcript.whisperx[442].end 12113.428
transcript.whisperx[442].text 你們有這個單位有這個機關,但是給國人的感覺還不是那麼好,受騙的人繼續增加,上當的人繼續在增加,應該要有點效果,是不是?所以你們這方面你們覺得你們的工作做得很好嗎?
transcript.whisperx[443].start 12114.318
transcript.whisperx[443].end 12138.429
transcript.whisperx[443].text 還有我們已經布建了一些這個剛剛講我商人以後引進了一些技術像防炸雷達去做用AI去做掃描確實掃到很多詐騙的訊息那個確實也讓他們下架所以在源頭上確實有些效果但是這個是長期的這是跟詐騙集團的長期的戰爭所以就是說這個我們變好他也變好所以就這個東西還在打仗
transcript.whisperx[444].start 12138.809
transcript.whisperx[444].end 12166.577
transcript.whisperx[444].text 那我們但是希望能夠打贏這場戰那我剛才講到第二條海欄第三條海欄修復了沒有?修復了是已經修復了修復了嗎?那第四條的海欄第四條海欄總經費要14億14億我看你們很像是115年6月份要完工嗎?對但是目前的進度怎麼樣?目前進度市長是報告一下
transcript.whisperx[445].start 12168.201
transcript.whisperx[445].end 12194.933
transcript.whisperx[445].text 報告委員目前進度如期順利,115年預計6月應該是可以完工我很奇怪齁,你在前章裡面只編了1.4億元啊是,謝委員那個...總計劃要14億欸這邊中華電信公司有透過交通部有這樣預算的編列當然如果說我們未來我們還在爭取預算再來補貼中華電信也是可以的
transcript.whisperx[446].start 12195.731
transcript.whisperx[446].end 12201.599
transcript.whisperx[446].text 那你預算如果沒有爭取到的話,中華電力完全要負責嗎?目前是這樣子14億欸中華電力有這個能力嗎?
transcript.whisperx[447].start 12209.263
transcript.whisperx[447].end 12231.541
transcript.whisperx[447].text 我看你們簡報裡面說要立法委員去希望我去爭取當然我們如果說政府能夠有補助的話會加速加快他的建制速度因為這個涉及到他的經費的分配所以我們在115年到118年也有在爭取3.2億那這個要在社發基金我們國發會裡面來爭取如果可以的話請委員幫忙國發會
transcript.whisperx[448].start 12235.98
transcript.whisperx[448].end 12251.209
transcript.whisperx[448].text 國防部民主建設基金只剩下多少錢哪有這個十幾億沒有十幾億沒有就是3.2億4年3.2億4年3.2億你全部計費要14億14億現在只撥了1.4億還有12點多億還沒撥還沒撥的話你這個錢要從哪裡來還是中華電信要自籌因為這個部分我們政府只能用補助的概念沒辦法全額來我這個沒有意見剩下一點時間
transcript.whisperx[449].start 12265.236
transcript.whisperx[449].end 12294.187
transcript.whisperx[449].text 我想請問部長馬祖5G的通訊基礎建設你們建設的進程是什麼5G啊跟委員報告我們馬祖屬於離島偏鄉他現在5G目前朝向99%的涵蓋那委員看到您這張照片上面從淺藍色就是一個100%比較高的涵蓋所以涵蓋是有的那通訊的品質我們在加強
transcript.whisperx[450].start 12295.831
transcript.whisperx[450].end 12323.271
transcript.whisperx[450].text 那現在台灣大哥大還有遠傳他們根本是零啊現在跟委員報告中華電信、台客大跟遠傳在馬祖5G的建設的數量按照NCC官網核發的執照100台左右所以有涵蓋但是就像剛剛說的後面的海嵐、後面的微波的頻寬還不夠所以這個用戶使用起來感覺上比較卡所以這個部分我們會再加強
transcript.whisperx[451].start 12324.397
transcript.whisperx[451].end 12337.226
transcript.whisperx[451].text 因為現在是蘋果的話還好啊,如果是遠傳大概大概什麼的收訊率不是非常的好。我說你們對這兩個電信公司你們有沒有什麼對應的措施?
transcript.whisperx[452].start 12339.092
transcript.whisperx[452].end 12367.694
transcript.whisperx[452].text 這個措施上面我們會透過普及服務因為我們今年的普及服務辦法也加入了行動寬頻就是說透過補貼補助的方式能夠希望它能夠加速市長你們有時間的話找他們幾家業者來溝通一下來開會嘛是好不好是你起碼讓5G的普及率能夠增加那我們開會之後我們會再複製委員辦公室這邊好好好那謝謝部長謝謝市長好不好好謝謝謝謝召委謝謝好謝謝陳雪生委員
transcript.whisperx[453].start 12372.691
transcript.whisperx[453].end 12372.931
transcript.whisperx[453].text 請黃國昌部長
transcript.whisperx[454].start 12391.132
transcript.whisperx[454].end 12406.003
transcript.whisperx[454].text 委員好部長你好今天審查預算我給他算了一下你這個數位發展部花錢毫不手軟數位發展部大概我不知道這預算是不是你編的那個你其實部長以前編的還是你知道
transcript.whisperx[455].start 12411.152
transcript.whisperx[455].end 12411.912
transcript.whisperx[455].text 國外旅費158部分平均6.19萬
transcript.whisperx[456].start 12430.953
transcript.whisperx[456].end 12436.474
transcript.whisperx[456].text 本部8.5萬中央政府平均1.7萬所以旅費3.54倍平均本部4.86倍委辦費用委辦給人家平均40%數位產發署
transcript.whisperx[457].start 12458.346
transcript.whisperx[457].end 12463.529
transcript.whisperx[457].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[458].start 12479.721
transcript.whisperx[458].end 12493.214
transcript.whisperx[458].text 被騙5億九成都是投資詐騙到現在為止我們政府的單位成立的越多打詐國家對打詐辦公室成立越多詐騙越多一年就是87億
transcript.whisperx[459].start 12496.389
transcript.whisperx[459].end 12497.009
transcript.whisperx[459].text 拜託委員那個
transcript.whisperx[460].start 12516.172
transcript.whisperx[460].end 12543.002
transcript.whisperx[460].text 我們因為數位發展我們數位經濟本來就會跟國外尤其是資安跟國外有很多互動所以我們在這邊的經費阿幾個月出國沒有那個阿就是3.54倍阿平均你們補裡面4.86倍阿我跟你講阿我全部砍喔那個我可以請那個我全部砍喔我告訴你數法部成為國外旅遊部
transcript.whisperx[461].start 12545.314
transcript.whisperx[461].end 12555.127
transcript.whisperx[461].text 跟委員報告齁那因為速發部成立之後有非常多的業務包含跟美國或者是歐洲這邊會有很大量的那種麻煩你們的成效過去唐鳳東部長弄個點面線APP 這樣什麼成果也沒有還要講兩個半天
transcript.whisperx[462].start 12563.858
transcript.whisperx[462].end 12583.22
transcript.whisperx[462].text 是跟委員再補充一下比如說以跟歐洲地區好了那歐洲因為我們現在跟英國其實也在做經貿談判啊人家都不要出國你講這個給國外啦沒有人相信啦成效也很差啊人家點名台灣的詐騙三大機關要負最大責任數位發布
transcript.whisperx[463].start 12584.557
transcript.whisperx[463].end 12588.9
transcript.whisperx[463].text 政府總預算案關於數位發展部資通安全署單位預算。二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[464].start 12600.302
transcript.whisperx[464].end 12600.382
transcript.whisperx[464].text 委員委員
transcript.whisperx[465].start 12616.272
transcript.whisperx[465].end 12643.092
transcript.whisperx[465].text 委辦是因為我們有很多計劃是委託給像比如說公營運資策會公協會去執行包括剛剛講就是說那個因為我們剛剛講我們發展多用AI去做很多這個比如說數位轉型所以這些計劃都是需要再做研發所以你這些旅遊其他單位都存在為什麼你是人家的三十四倍為什麼你是人家的二十倍為什麼
transcript.whisperx[466].start 12645.722
transcript.whisperx[466].end 12659.351
transcript.whisperx[466].text 為什麼啊 為什麼我這樣子啊 34倍 別人 你剛剛講理由 那個理由 別的單位也要啊 也要回給工人院 也要回給工協會 為什麼你們特別多 就代表你們特別懶惰啊
transcript.whisperx[467].start 12660.342
transcript.whisperx[467].end 12679.717
transcript.whisperx[467].text 你們特別懶惰啊,你們的人就欸啊都放棄還是你們特別不專業人家也專業產業推動我請署長說明一下跟委員報告我要送經濟部來我們在以前在工業局其實委辦會也是因為就是要做產業發展你給我查一下齁你今天你回答我都不滿意了根本就沒有回答我重點齁你給我寫個簡單的報告可以嗎這個禮拜起來給我3天3天給我齁還我問一下部長
transcript.whisperx[468].start 12692.047
transcript.whisperx[468].end 12704.177
transcript.whisperx[468].text 台灣有沒有在發展第一軌道貴星?台灣現在是用OneWeb的這個台灣現在是用兩部分的一部分就是說既有的系統我們是用這個英國的OneWeb速發部有沒有角色扮演?
transcript.whisperx[469].start 12705.339
transcript.whisperx[469].end 12732.591
transcript.whisperx[469].text 像OneWeb的那個推動跟使用是速發部在推動?啊他們現在STARLINK那個馬斯克那個SPACEX要離開台灣有沒有這回事?這個因為這屬於經濟部的那個產業面我不清楚但是在服務上那個STARLINK我們有試著去跟他談好的那你給我時間表齁你不管怎麼樣你今天因為我時間到了齁不要花太多時間你回答我
transcript.whisperx[470].start 12733.351
transcript.whisperx[470].end 12756.969
transcript.whisperx[470].text 我們什麼時候台灣可以見到全面性的低軌道軌心可以取代我們現在的海底海底電纜否則的話一打仗有什麼問題這個是在國科會那邊在太空中心你告訴我你有參與嗎我們主要是在commercial已經在run的系統我們去想辦法讓他在台灣落地
transcript.whisperx[471].start 12757.449
transcript.whisperx[471].end 12770.74
transcript.whisperx[471].text 現在都沒有?什麼時候會錄製?什麼時候?什麼時候?王偉已經通了,今年通了。王偉年底全通。年底全通?對,就王偉我們現在年底在台灣任何地方24小時都可以有地軌。那什麼時候會有6G啊?
transcript.whisperx[472].start 12772.796
transcript.whisperx[472].end 12776.079
transcript.whisperx[472].text 6G還2030年2030那個標準還沒定現在不是有B5G嗎B5G還在對B5G到6G還有點距離但是B5G什麼時候6G2030B5G2030有沒有
transcript.whisperx[473].start 12791.833
transcript.whisperx[473].end 12792.474
transcript.whisperx[473].text 接下來邀請黃國昌委員發言
transcript.whisperx[474].start 12827.825
transcript.whisperx[474].end 12831.61
transcript.whisperx[474].text 謝謝主席,是不是可以麻煩有請黃部長我要
transcript.whisperx[475].start 12840.584
transcript.whisperx[475].end 12865.611
transcript.whisperx[475].text 部長,數發部從2022年8月風光皆白到現在我想社會上面有很多評價講得比較直接一點是很多批評我相信部長都有聽到當然國人會關心的事情是說當副發部今年的預算跟明年你們現在編起來的預算加上前瞻的預算
transcript.whisperx[476].start 12867.113
transcript.whisperx[476].end 12880.346
transcript.whisperx[476].text 大概拿了283億兩千多萬從各個部會來講這個預算的金額絕對不能算低所以大家就很關心數發部到底做了什麼樣子的事情
transcript.whisperx[477].start 12882.509
transcript.whisperx[477].end 12899.535
transcript.whisperx[477].text 我就看整個副發部在預算的編列上或者是在相關經費的使用上有一些事情我覺得很困惑困惑是說你們有很多計畫比如說高齡科技產業數位負能推動銀髮四代連結計畫
transcript.whisperx[478].start 12902.876
transcript.whisperx[478].end 12926.372
transcript.whisperx[478].text 今年的預算一億七千七百五十萬明年的預算一億兩千兩百四十萬總計兩億九千九百九十萬這個計畫的主持人是誰?您知道嗎?這個計畫的主持人是誰?您知道嗎?他現在還是主秘嗎?他現在還是主秘
transcript.whisperx[479].start 12931.795
transcript.whisperx[479].end 12944.984
transcript.whisperx[479].text 那你們公務員去編這個計畫主要是目的要在計畫裡面養人嗎?因為我看人事費裡面五千多萬這個計畫的內容你們有沒有看過?用計畫在養人啊?
transcript.whisperx[480].start 12953.338
transcript.whisperx[480].end 12966.768
transcript.whisperx[480].text 因為你齁如果說齁今天這是國科會的計畫學校的單位教授研究計畫要帶學生要養專業的助理所以我可以理解可是怎麼數發部會開始搞這個東西啊部長這個狀況你知不知道
transcript.whisperx[481].start 12972.405
transcript.whisperx[481].end 12999.037
transcript.whisperx[481].text 國標單位是公研院等一下等一下等一下先先停一下現在到底誰是部長那個報告報告委員這個我們很多東西是應該這樣講就是說我們在研發裡面有有上中下我們出發部主要是做中下包括推動所以像這個銀髮族這個我們會跟比如說跟公研合作那公研的公研就是就是拿一些研究成果然後自己在產業裡面去補助產業去應用去推動會會在我們這裡處理
transcript.whisperx[482].start 13000.441
transcript.whisperx[482].end 13025.666
transcript.whisperx[482].text 不是啊 這個跟產業沒關係啊計畫主持人就你們祖密啊對 那是那個然後下面養了一堆人啊這個東西在做什麼你知不知道銀髮世代的連結對對對 這個東西在做什麼你知不知道對高齡的現在的一個問題我們希望能夠讓這個他們能夠有這個能夠用數位用這個這樣講這些數位的技術能夠做一些在生活上的改善你覺得這個計畫推動到現在成效如何
transcript.whisperx[483].start 13030.219
transcript.whisperx[483].end 13051.282
transcript.whisperx[483].text 部長覺得成效如何還是你不是很了解因為這個計畫知道就知道不知道就不知道這個計畫我在我上任之前已經推了一年半我再回去瞭解這個我不甚瞭解我可以對話你不是很瞭解請你回去瞭解請你回去瞭解我為什麼請部長回去瞭解花了幾億搞這個東西啊來我給部長看一下
transcript.whisperx[484].start 13053.114
transcript.whisperx[484].end 13053.614
transcript.whisperx[484].text 這個的確偏低啦
transcript.whisperx[485].start 13082.093
transcript.whisperx[485].end 13101.718
transcript.whisperx[485].text 用偏低兩個字可以形容喔我送部長四個字啊叫慘不忍睹啊書發部很有錢啊幾億的計畫搞這種東西出來啊幫了什麼銀髮族啊用銀髮用勒林用這些fancy的字說服立法委員給你們預算搞這個東西出來
transcript.whisperx[486].start 13113.232
transcript.whisperx[486].end 13137.359
transcript.whisperx[486].text 爛的不得了啊下面一樣啊18次19次16次我的老天啊這個到底在幹嘛部長回去了解一個禮拜之內書面報告說明這是怎麼回事因為這件事情如果沒有說明我在這邊先把話講白了
transcript.whisperx[487].start 13138.855
transcript.whisperx[487].end 13165.521
transcript.whisperx[487].text 這個不是只有一年喔今年還繼續編喔我一定砍到聖靈園沒有必要執行下去嘛我執行這個要幹嘛我們都支持壯世代啊支持銀髮啊支持樂齡啊但支持的方法絕對不是錢亂花啊這在搞什麼東西啊好一個禮拜我們給委員一個報告再看一下審查委員怎麼講的
transcript.whisperx[488].start 13167.093
transcript.whisperx[488].end 13194.053
transcript.whisperx[488].text 各計畫的規劃缺乏創新性高齡學習或社交課程在現有的長青學院已經非常普遍高齡數位學習教材開發的數量也很多結果呢結果我們的速發部錢太多啊立法院給的錢啊都花不行啊隨便亂花效果到底在哪裡
transcript.whisperx[489].start 13196.109
transcript.whisperx[489].end 13222.395
transcript.whisperx[489].text 連審查委員都看不下去啊事情還不是只有這樣來再看一下另外一個計畫有一個數位前瞻應用發展計畫這名字又取得很好啦有數位啊有前瞻啊來關鍵成果跟績效指標我看每一年度的奇怪內容幾乎都重複啊內容幾乎都重複啊
transcript.whisperx[490].start 13224.315
transcript.whisperx[490].end 13253.134
transcript.whisperx[490].text 部長我相信啊如果你自己當審查委員你看了可能都會皺眉頭啊這到底是在搞什麼東西啊來我們再繼續往下看審查委員一樣啊砲聲隆隆啊三項目標各自獨立論述沒有共同的終點目標這個目標也明確說明本計畫以幕僚作業需求為主整體計畫包括眾多不明確的開發需求
transcript.whisperx[491].start 13254.4
transcript.whisperx[491].end 13282.421
transcript.whisperx[491].text 公範包山包海沒有實質對應的產出啊這如果是任何一家公司的負責人啊看到這樣子的內容會皺眉頭啊這個錢要丟下去嗎錢丟到水裡還蹦一聲啊這個丟到水裡這個錢丟下去可能連聲音都沒有啊再往後看喔主席站起來了不好意思我最後給我最後
transcript.whisperx[492].start 13285
transcript.whisperx[492].end 13299.608
transcript.whisperx[492].text 次四代行動創新應用負能發展計畫兩年兩億一千三百萬在幹嘛今天我質詢的時候我提了三個東西出來請部長回去了解請部長回去了解一個禮拜之內一個禮拜之內
transcript.whisperx[493].start 13302.567
transcript.whisperx[493].end 13320.617
transcript.whisperx[493].text 說清楚執行到現在你個人滿不滿意納稅的錢還要不要這樣花一個禮拜之內的書面回答如果我看了沒有辦法說服的話我醜話講在前面今年度相關的預算我一定砍到剩領園謝謝謝謝黃國昌委員
transcript.whisperx[494].start 13328.649
transcript.whisperx[494].end 13336.815
transcript.whisperx[494].text 接下來邀請林德福委員林德福委員林德福委員林德福委員不在現場接下來邀請吳春成委員發言有請部長請黃部長
transcript.whisperx[495].start 13357.299
transcript.whisperx[495].end 13358.58
transcript.whisperx[495].text 那剛才呢我們這個黃國昌總召
transcript.whisperx[496].start 13385.225
transcript.whisperx[496].end 13404.201
transcript.whisperx[496].text 所提出的所提出的這都是讓人真的是滿心痛的事情這個我想這個部長那個你很有理想性但是你到了速發布之後應該會看到
transcript.whisperx[497].start 13405.515
transcript.whisperx[497].end 13432.093
transcript.whisperx[497].text 其實有很多需要改革的地方需要改革的地方我自己在推動的一個過程當中部長都很認同但是往下推都很困難往下推所以就像剛才所提到了樂齡好幫手我覺得大家都在虛晃一招我就很懷疑其實裡面
transcript.whisperx[498].start 13433.732
transcript.whisperx[498].end 13455.375
transcript.whisperx[498].text 大家欺上瞞下做表面功夫我們的政府機構處處充滿這種問題很多部會很理想性的東西然後講了哇那部長來了大家談的溝通都很感動都很怎麼樣但是你真的推到推下去以後都自愛難行
transcript.whisperx[499].start 13456.755
transcript.whisperx[499].end 13476.74
transcript.whisperx[499].text 都自愛難行但是呢大撒幣大花錢像剛才講那幾個這個什麼樂齡好幫手那一種那麼多的活動花了那麼多錢點滴率都在20個以下然後呢難道沒有看到嗎都看到已經推行這麼久了然後也沒有改善
transcript.whisperx[500].start 13478.46
transcript.whisperx[500].end 13505.1
transcript.whisperx[500].text 那像這種問題啦像這種問題那個我覺得真的是要大力的大力的改革久了久了這個很多很多底下烏煙瘴氣的事情可能很多好我先不談這個事情啦但是總是要一個好的開始像這個我們諮詢業
transcript.whisperx[501].start 13507.963
transcript.whisperx[501].end 13525.918
transcript.whisperx[501].text 資訊業也辦了那麼久了要有一些創造的新意嘛所以呢這個是我跟部長建議的啦我跟部長建議的就是這個現在的年輕人不太參加實體活動資訊業怎麼樣創在再創熱潮嘛我說答應我幫你帶一批人來什麼帶來就帶壯士帶來
transcript.whisperx[502].start 13536.387
transcript.whisperx[502].end 13541.551
transcript.whisperx[502].text 所以這個溝通的方式就叫董資樂園就要開幕了很多的新創的一些做法
transcript.whisperx[503].start 13548.137
transcript.whisperx[503].end 13577.01
transcript.whisperx[503].text OK 所以呢 這裡做個廣告請大家來參加直接跳過來這一頁那想這個問題喔 的確這個非常就是整個的數位落差那蘇巴部會看到就是年齡的數位落差是重點但是呢我們現在一時政策都會往這個區域的數位落差去做那這一個可以看得到嗎 區域的數位落差就兩成嘛
transcript.whisperx[504].start 13577.91
transcript.whisperx[504].end 13599.335
transcript.whisperx[504].text 那最高跟最低兩層嘛,零零落差差到五層嘛那這高領社會這個問題會更嚴重那所以呢接下來因為我的時間所以呢好現在呢辦這次諮詢的董之樂園那我也非常努力在帶動
transcript.whisperx[505].start 13601.795
transcript.whisperx[505].end 13626.49
transcript.whisperx[505].text 帶動這一個但是我覺得我真的很努力但是呢事實上不會我覺得當然都做出一個做出一個場面但是事實上事實上會再更積極不過第一次試辦沒有給你們太多壓力所以呢希望活動辦完以後因為只有4天的活動不是大拜拜這樣這個活動之後
transcript.whisperx[506].start 13627.851
transcript.whisperx[506].end 13630.195
transcript.whisperx[506].text 請問部長,好好地檢討、好好地觀察這次的活動的過程當中,是不是
transcript.whisperx[507].start 13641.92
transcript.whisperx[507].end 13641.94
transcript.whisperx[507].text 請問部長
transcript.whisperx[508].start 13662.641
transcript.whisperx[508].end 13678.381
transcript.whisperx[508].text 報告委員我想在這次這個活動結束之後我們再看看怎麼樣配合剛剛其實剛剛黃委員講確實我們有一些經費可以對這個不管是壯士代或高齡有一些幫助那怎麼讓幫助更有效我想我們再來檢討
transcript.whisperx[509].start 13681.665
transcript.whisperx[509].end 13697.16
transcript.whisperx[509].text 我要跟部長講昨天我們院長卓院長也宣誓了因為昨天召開的社福委員會行政院社福委員會要重視壯士帶積極的參與社會積極參與社會數位是非常重要的部分
transcript.whisperx[510].start 13702.245
transcript.whisperx[510].end 13717.831
transcript.whisperx[510].text 那所以最後這個就是不是可以要求這個訴發部承諾把縮短年齡的數位落差的具體措施在3個月之內提出一份詳盡的結果3個月的時間黃國昌都給一個禮拜我給3個月
transcript.whisperx[511].start 13721.693
transcript.whisperx[511].end 13722.613
transcript.whisperx[511].text 謝謝吳春城委員
transcript.whisperx[512].start 13755.731
transcript.whisperx[512].end 13765.001
transcript.whisperx[512].text 接下來邀請徐欣盈委員發言徐欣盈委員徐欣盈委員徐欣盈委員不在現場接下來邀請林月琦委員發言主席好麻煩那個黃部長請黃部長
transcript.whisperx[513].start 13784.224
transcript.whisperx[513].end 13784.304
transcript.whisperx[513].text 主席
transcript.whisperx[514].start 13800.505
transcript.whisperx[514].end 13820.406
transcript.whisperx[514].text 打蠟專法上路後賦予網路廣告平臺業者防詐的義務。為了明確哪些平臺要納管義務,我們看到9月16日的時候,蘇發部已經公告了即日生效的一定規模的網路廣告平臺計算基準,來明定如果符合有
transcript.whisperx[515].start 13821.067
transcript.whisperx[515].end 13847.011
transcript.whisperx[515].text 刊登詐騙廣告的風險我國每個月的獨立訪客的人數超過5%的話這兩項定義那就對於要被納管的我們的網路廣告平臺包括Google、Meta跟Line都入列那我們再看到9月27號我在質詢的時候我就已經跟院長提出來是說
transcript.whisperx[516].start 13847.991
transcript.whisperx[516].end 13854.136
transcript.whisperx[516].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算
transcript.whisperx[517].start 13867.752
transcript.whisperx[517].end 13894.535
transcript.whisperx[517].text 網路遊戲成癮跟網路霸凌有極大的相關性所以在這種狀況底下美國已經在7月的時候就已經通過了成癮性的內容剝削的兒童法它第一個規範具有成癮性的演算法第二個是避免深夜推播內容的影響睡眠第三個家長在保護隱私下可限制使用網路長途跟明定罰款英國在去年
transcript.whisperx[518].start 13895.396
transcript.whisperx[518].end 13907.123
transcript.whisperx[518].text 十月也通過了網路安全法規範業者一定要履行的職責還有呢定義新型態的網路上犯罪還有要求業者要及時刪除若有對孩子有妨礙的話還有明定罰則那9月27號我在總詢詢的時候
transcript.whisperx[519].start 13912.346
transcript.whisperx[519].end 13914.788
transcript.whisperx[519].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[520].start 13933.423
transcript.whisperx[520].end 13942.928
transcript.whisperx[520].text 委員你也說你們是這些平台的管理單位所以想問一下數位發展部到底對這些網路平台要如何進行管理
transcript.whisperx[521].start 13945.489
transcript.whisperx[521].end 13974.848
transcript.whisperx[521].text 報告委員就是沒有做那個打詐罰讓我們能夠對這4個平台這個4個平台主要是網路廣告平台但是我們有個機制這個重點是那個機制存在就是說我們有一個機制能夠要求他們下架那當然這個下架的一開始是以詐騙為主就是說詐騙訊息但是如果有一些剛剛講這個兒少如果這個兒少如果是比如說衛福部落發現哪些東西有問題我們可以協助去處理這些下架但是判斷這個東西內容是不是有兒少問題還是需要
transcript.whisperx[522].start 13975.128
transcript.whisperx[522].end 14004.367
transcript.whisperx[522].text 而常常境外的甚至平臺微服部大也很困難所以我也希望所以那天9月27號總諮詢的時候院長就已經同意因為網路安全現在是世界各國最大的隱憂對我們下一代影響非常的深厚我們看下一屆澳洲的總理就已經宣布要立法禁止16歲以下孩童使用的社群媒體為什麼要這樣立法也是為了保護下一代因為我剛剛提過
transcript.whisperx[523].start 14005.128
transcript.whisperx[523].end 14008.831
transcript.whisperx[523].text 二、審查114年度中央政府總預算:一、審查114年度中央政府總預算:完整會議二、審查114年度中央政府總預算:完整會議
transcript.whisperx[524].start 14024.683
transcript.whisperx[524].end 14053.455
transcript.whisperx[524].text 9月執行到現在10月11月本來要審預算那接下來要審預算了所以我也想問速發部對網路平台你怎麼做會有拘束力我們希望你在因為之前我執行那我在想說你們為什麼明年的預算還是沒有去考慮院長也同意要一併來做所以也希望你們速發部針對這一塊因為當然做是要人力來做我相信你編的預算也是人力我希望你們把這個納入
transcript.whisperx[525].start 14054.315
transcript.whisperx[525].end 14066.118
transcript.whisperx[525].text 否則的話這預算我會好好的看管以上謝謝好謝謝林業勤委員接下來邀請麥玉珍委員發言謝謝主席有請黃部長請黃部長
transcript.whisperx[526].start 14087.685
transcript.whisperx[526].end 14095.711
transcript.whisperx[526].text 委員好部長好想要請教部長一下目前數位發展部在詐騙通報查詢網站的預算編列了為6000萬請問該平台通報率及查記處理的成效如何?
transcript.whisperx[527].start 14106.218
transcript.whisperx[527].end 14126.176
transcript.whisperx[527].text 還有外籍人士是包含新住民移工僑生還有投資移民技術移民已經超過150萬人外籍人士語言不通當他們收片時如何求助還有被騙多少人還有多少金額部長你知道嗎
transcript.whisperx[528].start 14128.171
transcript.whisperx[528].end 14150.451
transcript.whisperx[528].text 我們現在被騙的就是說在我們那個所謂的這個我們是165這個就是我們這個查詢裡面目前看到每天大概就3到6億嘛這是金額啦對但是說我說外籍人士在台灣已經超過150萬人但是有多少多少人還有語言求助
transcript.whisperx[529].start 14150.971
transcript.whisperx[529].end 14153.313
transcript.whisperx[529].text 外景人事我就比較沒有資料所以你沒有去沒有去統計但是有很多團體就幫你統計了我希望這個部分
transcript.whisperx[530].start 14166.866
transcript.whisperx[530].end 14190.835
transcript.whisperx[530].text 你要去統計好不好所以如果你沒有關於這些外籍人士所以我要問你人民現在繳的稅金有包含外籍人士繳的稅金嗎外籍人士應該都有啊都有的話為什麼編列預算在防詐網站是不是有多種語言
transcript.whisperx[531].start 14192.128
transcript.whisperx[531].end 14193.45
transcript.whisperx[531].text 所以說我們這個網站都沒有多種語言嘛所以說是是說165而已嘛
transcript.whisperx[532].start 14208.05
transcript.whisperx[532].end 14213.913
transcript.whisperx[532].text 所以這樣子的話我看到的就是防詐資訊協助的就是一般民眾缺雜對在台的外籍人士的協助當他面臨就是特殊的詐騙的狀況就是沒有一個管道也沒有這樣子的求助所以說我們如何檢舉機制還有保護的措施我想要問你的是這一塊
transcript.whisperx[533].start 14234.674
transcript.whisperx[533].end 14235.715
transcript.whisperx[533].text 我們自己目前正在測試網路詐騙通報查詢網
transcript.whisperx[534].start 14255.682
transcript.whisperx[534].end 14259.963
transcript.whisperx[534].text 對,但是我們每次我們民眾打電話就是進我們的防詐中心都會經常被回復的就是兩個國外的帳號無法查詢國外的詐騙集團無法追蹤就是詐騙的中心回的都是這個
transcript.whisperx[535].start 14275.027
transcript.whisperx[535].end 14279.349
transcript.whisperx[535].text 所以部長有沒有考慮說成立一個多種語言專屬的團隊專責調查協助查緝國外內的詐騙集團以多元的方式就是預防減少國民還有外籍人士在台灣
transcript.whisperx[536].start 14292.336
transcript.whisperx[536].end 14294.62
transcript.whisperx[536].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[537].start 14308.919
transcript.whisperx[537].end 14312
transcript.whisperx[537].text 對但是我們不想聽的就是研議中努力中希望是有有一個真正的規劃但是我看你編列了6
transcript.whisperx[538].start 14327.128
transcript.whisperx[538].end 14330.932
transcript.whisperx[538].text 6千萬的費用是以預防詐騙還是減少詐騙這筆費用廣告及媒體的預算知否真正的發揮了保護人民的功能還是甚至還是只是對特定的廠商就是有利
transcript.whisperx[539].start 14349.021
transcript.whisperx[539].end 14364.043
transcript.whisperx[539].text 這個是給民眾用的這個是我們說網路通報詐騙通報查詢是給民眾看到訊息不確定是不是詐騙之前能夠來查詢所以我才說你們就是6千萬嘛一千萬的話第一千萬啊就是要自己
transcript.whisperx[540].start 14364.603
transcript.whisperx[540].end 14366.664
transcript.whisperx[540].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[541].start 14385.762
transcript.whisperx[541].end 14386.363
transcript.whisperx[541].text 網路詐騙通報查詢網的維運跟開發
transcript.whisperx[542].start 14406.742
transcript.whisperx[542].end 14413.528
transcript.whisperx[542].text 對 所以我的意思說你花人民的血汗錢連眼睛眨一下都沒有眨 對不對所以請我們書法部以一週內提供給我們就是多元的服務的規劃
transcript.whisperx[543].start 14421.215
transcript.whisperx[543].end 14426.457
transcript.whisperx[543].text 包含語言上線時間因為你拿的納稅錢不是只有人民所有的人所以要負責新的團隊的名單還有及時更新我們的新增的語言的上線日期希望你要把這個因為很多人都說你們都說詐騙集團是國外的
transcript.whisperx[544].start 14444.364
transcript.whisperx[544].end 14469.232
transcript.whisperx[544].text 詐騙的賬號是國外的但是你們要如何比詐騙集團更先進啊更有語言觀有世界觀讓這些人才能在台灣的外籍人士才能幫助到你變成如何去打仗去除害這個才是真正的解決問題啦不要是說花錢都砸一個眼睛都沒辦法砸
transcript.whisperx[545].start 14469.872
transcript.whisperx[545].end 14470.772
transcript.whisperx[545].text 接下來邀請侯孟楷委員發言
transcript.whisperx[546].start 14501.578
transcript.whisperx[546].end 14501.598
transcript.whisperx[546].text 黃國昌議員
transcript.whisperx[547].start 14511.986
transcript.whisperx[547].end 14533.648
transcript.whisperx[547].text 是我想訴發部大家國人很關心跟重視的當然都是打詐騙的議題打詐的議題本期也下載了網路詐騙通報查詢網的這個APP那其中裡面我有看到一個統計啊我想這個APP已經上線一個多月了嘛大家都有通報大家都有這個這個統計相關資料其中詐騙媒介
transcript.whisperx[548].start 14535.43
transcript.whisperx[548].end 14548.404
transcript.whisperx[548].text 就是本席跟國人大家所關心就是說到底這些廣告都在哪裡做詐騙哪裡讓民眾獲得這個資訊部長有沒有掌握詐騙媒介現在的平台裡面最多還是在臉書臉書那再來勒
transcript.whisperx[549].start 14551.024
transcript.whisperx[549].end 14562.788
transcript.whisperx[549].text 再來就是應該就是就說臉書以外就是Line啊Google啊然後像TikTok您看一下你的詐騙媒介我拉30天的資料總共10萬筆將近11萬筆
transcript.whisperx[550].start 14566.956
transcript.whisperx[550].end 14573.946
transcript.whisperx[550].text 6萬筆是臉書23000筆是IG、Instagram其實也是臉書的再來MetaMessage4900筆將近5000筆還有Meta的廣告聯播網18000筆
transcript.whisperx[551].start 14583.599
transcript.whisperx[551].end 14609.576
transcript.whisperx[551].text 所以其實光臉書的一個百分之九十、九十幾都是他們相關的系統真正你剛剛所講Google只有13311萬裡面只佔了133而Live只佔了681都是不到千位所以換言之九成都是臉書相關系統那既然已經知道大宗的部分在那邊了
transcript.whisperx[552].start 14611.172
transcript.whisperx[552].end 14632.024
transcript.whisperx[552].text 那我們除了繼續給國人通報繼續被動的下架那我們主動積極的作為在哪裡臉書它可以賺那麼多錢它可以接受廣告沒有問題你要去做社群正常的廣告我們當然歡迎這個是正常的市場機制啊但是不能給詐騙集團投放廣告啊
transcript.whisperx[553].start 14632.544
transcript.whisperx[553].end 14643.509
transcript.whisperx[553].text 所以報告委員所以我們現在為什麼要通過打詐釋法裡面尤其關於這個這個廣告平台已經通過了上個會期已經通過了我現在就7月16已經通過了7月12已經通過了沒錯所以我們現在到現在11月13所以我們
transcript.whisperx[554].start 14650.632
transcript.whisperx[554].end 14663.659
transcript.whisperx[554].text 所以現在他們第一個他們要在台灣設法律代表跟落地10月30他們已經申請了11月30我們會公告就是這個這個我們這些執法這個什麼他們有件事一定要做就是廣告實名制
transcript.whisperx[555].start 14664.099
transcript.whisperx[555].end 14692.665
transcript.whisperx[555].text 就是說過去的剛剛講的那種詐騙都是是這個是本期上一次在同樣交通委員會的時候我就要求的嘛那現在更有數據佐證的就是高達九成九成屋以上我們台灣的詐騙樣態類型都是從他們的一個母公司出來嘛沒錯沒錯所以Meta是我們最關心的那我們進去在剛剛講就是我們已經跟Meta所謂的喝咖啡包括他們派美國的技術專家來跟我們討論他喝咖啡喝很多但是他還是肢意妄為啊所以現在已經跟他講
transcript.whisperx[556].start 14693.465
transcript.whisperx[556].end 14693.725
transcript.whisperx[556].text 拜託用這樣的法來
transcript.whisperx[557].start 14723.228
transcript.whisperx[557].end 14749.726
transcript.whisperx[557].text 第一個但是先道德勸說第二就是用法律來要求他要配合希望這樣的結果就是說我們再也不會看到這種所謂假公眾人物的報告部長源頭管理才是重點不要累壞我們第一線的警務同仁或是累壞我們所有其實我們說用這個通報機制大家要再通報你已經看到要再通報那何不從源頭管理尤其是我們已經上線一個月了我覺得用你的這個數字就很清楚明白的認證驗證我們廣告來源詐騙廣告來源到底在哪裡
transcript.whisperx[558].start 14753.288
transcript.whisperx[558].end 14777.494
transcript.whisperx[558].text 那如果說您剛有提到是可以源頭管理的話那本席也想請教另外一個部分就是我也在不管是外環委員會、交通委員會到現在交通委員會Google上面我搜尋啊電子煙啊我不知道你有沒有搜尋過但是你只要搜尋電子煙電子煙現在是不合法的在台灣那結果我們搜尋反而它的官方網站持續在那邊
transcript.whisperx[559].start 14778.735
transcript.whisperx[559].end 14801.097
transcript.whisperx[559].text 那衛福部居然跟我們講是說國民健康署跟我們講是說已經把後面有點TW的給下架了但是沒有啊但是重點是現在Google我相信所有的同仁你現在Google打開電子煙三個字一搜尋官方網站馬上出來而且製作的華麗精美程度甚至裡面還有衛教告訴你有多少口味多少等等的
transcript.whisperx[560].start 14801.778
transcript.whisperx[560].end 14829.693
transcript.whisperx[560].text 那這難道不是違禁品可以讓我們大剌剌的再搜尋搜尋的到那速發部到底有什麼樣的因應作為我們基本上對這種廣告就是剛講這種廣告我們是有一個機制叫RPG是可以把它封網就是說天使解析啦內封網內封網這件事情應該已經討論了因為他是一直自始至終都不合法對所以我們有在在這裡面再做一些剛講搜尋以後衛福部有沒有找你們討論過
transcript.whisperx[561].start 14830.794
transcript.whisperx[561].end 14831.114
transcript.whisperx[561].text 委員會主席
transcript.whisperx[562].start 14850.596
transcript.whisperx[562].end 14867.263
transcript.whisperx[562].text 結果這一個議題我從未還委員會質詢衛福部長衛福部長說要找速發部討論沒下文教育部長沒下文那到現在速發部長速發部長我請教你說也可以封還我相信技術絕對做得到啊
transcript.whisperx[563].start 14867.643
transcript.whisperx[563].end 14893.883
transcript.whisperx[563].text 但是我們不能隨便封就是他們要跟我們講所以不能隨便封那他現在賣的是一個不合法的產品這個產品是在台灣不允許販賣的他就是一個非法的東西甚至為什麼我們講說他相關重要是因為他有可能會搭載毒品然後他可能會引誘青少年吸食止煙啊我們去便利商店買便利商店店員都還要看身份證
transcript.whisperx[564].start 14895.149
transcript.whisperx[564].end 14922.26
transcript.whisperx[564].text 電子煙不用因為我網路購買不會檢查身份我寄送到便利商店或到付款我去付款取貨也不會檢查身份那會不會反而是更嚴重對所以我們現在的機制是只要衛福部通知我們哪些網頁要封我們就去封但是封網的決定是來自衛福部部長所以現在這樣又是互推皮球了就是我們的機制因為我們我們蘇花部要有法才能夠去封那問題這個法的
transcript.whisperx[565].start 14923.781
transcript.whisperx[565].end 14938.86
transcript.whisperx[565].text 主管機關是在衛福部所以我們不能夠隨便的做決定就封所以還是要有這個有有執法單位來來來要求我們封我們就封我們是有這個機制但是我們不能自己主動好很好來那我請教我們講到現在這樣子我
transcript.whisperx[566].start 14941.343
transcript.whisperx[566].end 14963.831
transcript.whisperx[566].text 到目前為止聽起來我是肯定因為數位發展部是有這樣的工具所以有沒有任何人可以回答我過去這段時間我相信我們早晚民進黨國民黨民眾黨大家都有問過啦衛福部有沒有來找我們數位發展部要來做封網衛福部有沒有來找數位發展部討論過應該要讓他下架關於電子煙的問題目前有沒有
transcript.whisperx[567].start 14968.087
transcript.whisperx[567].end 14992.599
transcript.whisperx[567].text 委員我大概回應一下那基本上委員垂詢的確實是一個問題那我們已經跟衛福部協調點滴那部分目前為止才有兩個機制一個就是如果是點滴注冊的話我們就把相關資料移給衛福部有衛福部國民健康署去做採取如果沒有這個資料的話我們就把它封掉那另外一個部分的話是平台的部分我們也積極的協調相關平台業者如果有這種電子菸的話也會做儲存
transcript.whisperx[568].start 14994.42
transcript.whisperx[568].end 14994.44
transcript.whisperx[568].text 委員會議
transcript.whisperx[569].start 15016.13
transcript.whisperx[569].end 15024.8
transcript.whisperx[569].text 拜託委員根據我衛福部的資料Facebook目前的案件是最多跟詐騙一樣5916件拜託委員那個私下網站是307件您是?市院司司長
transcript.whisperx[570].start 15037.075
transcript.whisperx[570].end 15057.768
transcript.whisperx[570].text 資源師牛信仁師長牛師長你完全沒有聽懂本席的問題我現在沒有在討論平台我們Google打開現在搜尋你不用任何的技術你不用任何的關鍵字你打電子煙三個字就可以搜尋到洋洋灑灑官方網站做的比誰都精美
transcript.whisperx[571].start 15059.397
transcript.whisperx[571].end 15082.832
transcript.whisperx[571].text 那我現在問的是說過去剛剛部長已經講了嘛如果說衛福部因為法院在衛福部主管機關是衛福部如果衛福部要求速發部速發部可以執行封網的動作啊那所以我現在想要問的是那到底過去那麼多時間來是衛福部有要求速發部速發部沒有動作還是衛福部自始至終他身為主管機關就是沒有沒有沒有討論所以才能放任他們持續在那邊販售
transcript.whisperx[572].start 15084.153
transcript.whisperx[572].end 15109.306
transcript.whisperx[572].text 委員現在在上次的教育委員會您也垂詢到這問題所以衛福部現在正在召開跨部會的協調會議那也提供請各部會提供資料給衛福部看我們能夠協助什麼那還要多久還要多久衛福部的討論那基本上現在是在比誰放水的比較多是不是還要多久還是給大家最後一段時間趕快喔要封囉清倉大拍賣
transcript.whisperx[573].start 15114.195
transcript.whisperx[573].end 15132.438
transcript.whisperx[573].text 部長,我說實在我很實在話講很持平的來說這背後利益有多龐大我都不敢想但是如果說它真的是一個不合法的東西中華民國是個法治的國家我們不應該放任不合法的東西持續的販售
transcript.whisperx[574].start 15134.694
transcript.whisperx[574].end 15153.441
transcript.whisperx[574].text 如果說我們所有的部會都不作為你推我我推你其實這件事情我就看得很明顯就是互相的推卸責任衛福部說他沒有技術然後訴發部說我沒有法源然後教育部是說這個其實是社會有關我只要管教校園就好了但是校園裡面他又沒有辦法阻止外面的東西進入到校園你們每一個部會都很重要每一個部會都很大
transcript.whisperx[575].start 15159.821
transcript.whisperx[575].end 15159.961
transcript.whisperx[575].text 謝謝侯孟凱委員
transcript.whisperx[576].start 15191.055
transcript.whisperx[576].end 15198.378
transcript.whisperx[576].text 接下來邀請鄭正前委員鄭正前委員鄭正前委員鄭正前委員不在現場接下來邀請許智傑委員謝謝主席我們請部長請黃部長
transcript.whisperx[577].start 15215.066
transcript.whisperx[577].end 15237.786
transcript.whisperx[577].text 部長好,部長我看了我們的預算裡面就是有對於海嵐站增設有五千多萬那對於我們亞灣2.0新型人才的需求也多編了兩千多萬然後呢我們要吸引國際大廠到我國也編了十幾億沒關係
transcript.whisperx[578].start 15241.96
transcript.whisperx[578].end 15270.985
transcript.whisperx[578].text 那大致上就是說我想請教一下上一次那個數位數化部有開會就是說大概一個月之內會訂停出那個計畫嗎?現在大概一個月了?超過了?就是我們本來那個就是11月22號我們會有個會本來是在11月22本來10月底因為颱風所以引到11月22號我會親自主持那個會議在台南在哪裡?在沙崙我們的辦公室沙崙那邀請的對象都決定了嗎?
transcript.whisperx[579].start 15271.745
transcript.whisperx[579].end 15294.214
transcript.whisperx[579].text 應該都決定了那個包括包括委員的辦公室都要跟那個部長報告一下這個其實我已經跟高雄市政府也提過那個羅副市長他們也覺得有一些興趣那我想就是說是不是整體來講就是說我們這個海嵐站呢
transcript.whisperx[580].start 15295.154
transcript.whisperx[580].end 15311.899
transcript.whisperx[580].text 那將來那個地方包括那個有可能是不是有資料中心或者是一些數位那個超級電腦等等的啦那基本上就是說這個規劃我是希望說部長可以規劃比較
transcript.whisperx[581].start 15313.769
transcript.whisperx[581].end 15337.346
transcript.whisperx[581].text 整體性的比較整體性的就是說我今天台南站他只是一個入口今天我就是有一個數位港口讓數位進來讓全世界的數位跟資料可以進來這是一個大的概念但是呢進來以後他可能還要連接IDC或者是連接就是高雄有相關的
transcript.whisperx[582].start 15338.046
transcript.whisperx[582].end 15340.447
transcript.whisperx[582].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算
transcript.whisperx[583].start 15359.611
transcript.whisperx[583].end 15381.728
transcript.whisperx[583].text 那現在要做亞灣2.0那亞灣2.0事實上就是說包括我們人才的培育那另外我們數法部還有一個就是國發會會編給我們的就是補助這個AI應用的一些預算那上一次我有提過就是說我們的預算就
transcript.whisperx[584].start 15382.83
transcript.whisperx[584].end 15401.31
transcript.whisperx[584].text 一般給民間的公司嘛但是如果他可以取得跟政府機關的合作或者是簽MOU等等的類似這樣子的概念那正好城市發展有需要然後他又能夠配合國家的政策又能配合城市的發展的方向
transcript.whisperx[585].start 15402.051
transcript.whisperx[585].end 15427.663
transcript.whisperx[585].text 如果這樣子可以給他們多一點加分的機會的話我想對於城市的規劃跟發展會更完整所以這相關的這一些配套措施不知道我們數發部現在準備的怎麼樣有一些剛剛講委員這個數位港這個我們都非常支持那在11月20號就是把這個會議討論完那剛剛講就是說當然你們這個很重要的一個角色包括高雄市政府
transcript.whisperx[586].start 15428.163
transcript.whisperx[586].end 15456.041
transcript.whisperx[586].text 那因為這個東西我們可以規劃設計但後面要有人去維運跟移運那所以這個東西就是我們在22號的時候看怎麼去進行這件事情那你們提前沒有跟市政府有任何的接觸嗎目前還沒有但是就是我們希望就是22號大家有一個至少有一個下一步要做的一些事情那我們希望能夠盡早能拿那個就是說大家能夠同意以後再看怎麼樣進行下一步
transcript.whisperx[587].start 15456.101
transcript.whisperx[587].end 15461.943
transcript.whisperx[587].text 我是這樣建議啦就是說我們其實做事情主動跟被動那個差距就很大
transcript.whisperx[588].start 15463.169
transcript.whisperx[588].end 15487.683
transcript.whisperx[588].text 那數位發展部這裡就是說基本上你們的職責不是設硬體嘛所以你會覺得說這個好像不是我們數位發展部的業務但是呢這又是數位發展部將來要發展的重要的基礎的建設關鍵的基礎設施所以這個部分我認為說我們數位發展部應該主動一點是不是請市長跟市府那邊聯絡一下
transcript.whisperx[589].start 15489.904
transcript.whisperx[589].end 15508.089
transcript.whisperx[589].text 彼此之間溝通一下交流一下意見那也許他想到的話我們想到有彼此沒有想到的地方那如果正好在談的時候就可以先去做一個初步的互相的了解那你這樣子去開會的時候才會有效率要不然去再問啊問一問又沒有準備啊沒有準備到時候又拉倒
transcript.whisperx[590].start 15508.829
transcript.whisperx[590].end 15536.172
transcript.whisperx[590].text 那就很可惜所以是不是部長可以跟市長建議一下就是說先做一個那個那叫做先期作業嘛所以你要開會之前先做一個先期作業這個馬上會進行好對不對那讓彼此多一點了解其實數位數位數化部這邊有經費可以協助他們其實地方政府最怕的就是沒有經費啦他們其實人啦意願啦其實都蠻高的但是他們就是最怕就是沒有經費
transcript.whisperx[591].start 15537.273
transcript.whisperx[591].end 15551.609
transcript.whisperx[591].text 阿如果這個部分可以讓他們心裡有個底﹖或者是他們在做這個規劃的時候可以瞭解數﹖發布將來整體的這些連接的配套大概是怎麼樣那他要提出這個計畫也比較能夠match我們的計畫嘛對
transcript.whisperx[592].start 15552.89
transcript.whisperx[592].end 15579.867
transcript.whisperx[592].text 報告委員就是這裡面還包括我們要再額外去爭取經費因為這個金額跟剛剛講那個是不一樣的工作所以我們會跟高雄市政府討論然後看怎麼去爭取更多經費對所以你看喔那個部長你看我看這個書面我們就看到海嵐站那你又說不是這個經費你懂我意思嗎那我們突然看到你寫的這個預算有關於海嵐站的經費我們就會覺得這很好啊
transcript.whisperx[593].start 15580.347
transcript.whisperx[593].end 15597.945
transcript.whisperx[593].text 那你現在又不能使用在這個海嵐站上那他是使用在哪裡委員可能誤會這是海嵐站有海嵐站補助的經費那是數位港剛剛委員我們一直討論是數位港跟高雄市政府這部分的不管是可行性評估還是未來的建置這我們還另外再爭取
transcript.whisperx[594].start 15598.605
transcript.whisperx[594].end 15623.551
transcript.whisperx[594].text 對所以我是建議啦就是說市長可以撥個時間先彼此的了解啦你看你這樣子寫恐怕市政委員會看他說欸這個好像可以啊對不對但是你的想法又跟實際上的不一樣那他要寫計畫的時候總是要媚取我們國家的方向這樣子他寫計畫才會跟我們一致嘛那你讓市府跟數位部數發部能夠先有一致的想法
transcript.whisperx[595].start 15623.891
transcript.whisperx[595].end 15651.542
transcript.whisperx[595].text 那也許彼此在寫計畫或彼此在規劃這個配套的時候就會更完整嘛好不好好這個沒問題好這個拜託這個是我們非常重大的建設希望說務必要完成啦好雖然不是你們負責的業務但是這個將來跟你們所有的業務都有很重大的相關你今天沒有push這個完成後面很多事情都不能做好所以希望說我們數發部可以主動一點好不好好來把這件事情完成好好謝謝謝謝謝謝委員
transcript.whisperx[596].start 15654.124
transcript.whisperx[596].end 15681.625
transcript.whisperx[596].text 好謝謝許智傑委員接下來邀請楊瓊英委員楊瓊英委員楊瓊英委員楊瓊英委員不在現場接下來邀請王美惠委員王美惠委員王美惠委員王美惠委員不在現場接下來邀請高金樹梅委員高金樹梅委員高金樹梅委員高金樹梅委員不在現場接下來邀請陳培宇委員
transcript.whisperx[597].start 15688.464
transcript.whisperx[597].end 15690.59
transcript.whisperx[597].text 好謝謝主席那有請部長謝謝請黃部長
transcript.whisperx[598].start 15699.261
transcript.whisperx[598].end 15717.978
transcript.whisperx[598].text 好 謝謝部長 部長武安幾個問題跟您討論第一個其實就是我們在我主要在教育文化委員會那我們非常關心在AI這個時代的發展趨勢底下其實在大學的招生都已經出現了非常多的困難當然這個我們在教育文化委員會要解決可是想要跟您請教其實數發部長期以來都有推動數位T大使
transcript.whisperx[599].start 15720.76
transcript.whisperx[599].end 15736.316
transcript.whisperx[599].text 那這個TDAS的部分呢其實協助了非常多非相關科系的大學畢業生他們投入相關的增能的領域然後進而進入職場然後跟產業有第一線的合作我一直認為這個計畫其實不僅是平衡了所謂科系的發展
transcript.whisperx[600].start 15736.957
transcript.whisperx[600].end 15757.267
transcript.whisperx[600].text 其實也協助了年輕人他們在離開大學之後還有其他場域的嘗試的可能性但是我目前想要問一下部長您在這個計畫上您接任部長之後您有沒有回去盤點這個計畫有沒有更可以精進的地方或是更可以調整的地方來自於產業的聲音或者是來自過去歷屆數位踢大使他們給你們的回饋你們有做過相關的會議討論嗎
transcript.whisperx[601].start 15760.769
transcript.whisperx[601].end 15782.829
transcript.whisperx[601].text 報告委員那個TDAS的確是一個很好的idea 是是那我們當然希望能夠擴大跟繼續辦理 是那當然這裡面的精進或者是說下一期那個是不是請署長說明一下或者是後續的之前的很多經驗的整理我覺得對於後續的推動非常重要部長沒關係如果
transcript.whisperx[602].start 15784.397
transcript.whisperx[602].end 15801.037
transcript.whisperx[602].text 部長這樣好了沒關係如果今天沒有準備相關資料我們後續辦公室會再跟書發部討論好不好因為確實這也是跟我第二個題目有關確實有非常多的中小企業部長你也知道台灣的5人以下的中小企業可能佔全台灣的比例佔80%到90%
transcript.whisperx[603].start 15802.859
transcript.whisperx[603].end 15819.894
transcript.whisperx[603].text 所以在面對AI時代的數位轉型我必須要說我相信部長你也知道其實有很多中小企業現在非常非常的焦慮他們可能在前一個前一波的數位轉型就還來不及跟上那在面對AI這件事情他們可能
transcript.whisperx[604].start 15820.334
transcript.whisperx[604].end 15820.534
transcript.whisperx[604].text 委員會委員會委員會委員會委員會
transcript.whisperx[605].start 15850.106
transcript.whisperx[605].end 15869.484
transcript.whisperx[605].text 也就是說我們看到數發部可能有意識到這個人才匱乏的問題所以我們幫產業補足了人力但是說實話這個情況其實越來越嚴重可能我們原本的數位替代大使根本還來不及也不夠那我要拜託數發部可不可以更加積極在協助中小企業面臨這個AI轉型的部分數發部你們的角色會是什麼
transcript.whisperx[606].start 15870.264
transcript.whisperx[606].end 15898.489
transcript.whisperx[606].text 報告委員我們現在有幾個Program像雲市集雲平台就是幫助中小企業能夠很快的去用一些AI的技術那當然我們還有一些補助案子就是一樣在那人才培育我們也這個有些訓練的Program包括剛剛講就是除了T大使我們有從就從高中一路上去都有這樣來來配合跟像我們有些訓練機構像支撐會這些都有在做這樣的一些人才訓練
transcript.whisperx[607].start 15899.301
transcript.whisperx[607].end 15924.07
transcript.whisperx[607].text 那細節的話是不是請署長再補充好那沒關係部長因為細節齁我時間有限啦齁我的我的是外委會我只有4加1那我想要講其實有更多的細節其實剛剛聽起來可能還有更多跟業界的溝通還是有更多的細節可以調整因為對於業界來說他們尤其是我舉我舉我們最近聽到非常多產業的故事為例喔他們可能是來自過去傳統的所謂工具機產業或者是設備商產業
transcript.whisperx[608].start 15928.231
transcript.whisperx[608].end 15950.757
transcript.whisperx[608].text 他們知道要跟上AI他們也都看過那個黃仁勳示範那個機器人手臂啊他們也知道設備跟AI晶片結合絕對是下一個時代趨勢但是不管是資金的匱乏人才的不足或者是相關設備原本就不足他們很多的焦慮那我認為數發部應該有更多積極的角色那怎麼樣跟經濟部跨部會合作真的去聽到產業的困境焦慮跟匱乏
transcript.whisperx[609].start 15954.298
transcript.whisperx[609].end 15966.851
transcript.whisperx[609].text 然後由速發部協同經濟部給予更積極的鼓勵跟補助也好人才培訓也好或是透過法人組織透過好的計畫透過好的補助甚至還有業界朋友跟我們建議臺灣有很棒的電腦展對嗎那像去年黃仁軒來還造成轟動
transcript.whisperx[610].start 15971.275
transcript.whisperx[610].end 15986.142
transcript.whisperx[610].text 那可是他們看到另外一個困境可能在電腦展上面所有展示這些軟硬的廠商都還不夠了解台灣中小企業的需求台灣有沒有機會創造一個新的平台例如說軟硬體整合都是本土廠商的平台的展然後讓這個展呢
transcript.whisperx[611].start 15987.022
transcript.whisperx[611].end 16005.503
transcript.whisperx[611].text 議員議員議員
transcript.whisperx[612].start 16005.903
transcript.whisperx[612].end 16019.839
transcript.whisperx[612].text 這個展我想這個我們再跟經濟部討論那我們市面上在很多展我們有所謂的我們素餐室有些館那我們在館裡面可以看怎麼樣去協助我剛剛講的這個委員講的這些廠商能夠至少在我們這些館能夠有些展示對
transcript.whisperx[613].start 16020.52
transcript.whisperx[613].end 16044.1
transcript.whisperx[613].text 因為我當然知道這些中小企業絕對主管機關是經濟部啦可是在透過寫就像如同部長您說的你們有設很多的館我相信你們有很多的業務想要推展到第一線更多的基層的產業那這些他們如何聽懂你們想要告訴他們的你們所想要提供的我相信你們已經有準備了但是如何approach到這些人我覺得這個是未來數位部非常重要的工作好嗎
transcript.whisperx[614].start 16044.781
transcript.whisperx[614].end 16045.322
transcript.whisperx[614].text 謝謝陳培宇委員
transcript.whisperx[615].start 16058.122
transcript.whisperx[615].end 16077.656
transcript.whisperx[615].text 登記質詢委員均已發言完畢做以下決定報告及詢答完畢二、委員許智傑所提書面質詢列入記錄並刊登公報委員於質詢中要求提供相關書面資料或未及答覆部分請數位發展部盡數以書面答覆
transcript.whisperx[616].start 16078.416
transcript.whisperx[616].end 16094.63
transcript.whisperx[616].text 一百一十四年度資通安全署數位產業署單位預算審查報告及詢答完畢令則其進行處理委員預算提案於12月3日星期二中午12點截止收件本次會議到此結束現在散會
transcript.whisperx[617].start 16109.823
transcript.whisperx[617].end 16119.136
transcript.whisperx[617].text 二、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。三、審查114年度中央政府總預算案關於數位發展部資通安全署單位預算。
transcript.whisperx[618].start 16131.257
transcript.whisperx[618].end 16131.437
transcript.whisperx[618].text 委員會委員會委員會委員會
IVOD_ID 16257
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16257
日期 2024-11-13
會議資料.會議代碼 委員會-11-2-23-9
會議資料.屆 11
會議資料.會期 2
會議資料.會次 9
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.標題 第11屆第2會期交通委員會第9次全體委員會議
影片種類 Full
開始時間 2024-11-13T08:31:01+08:00
結束時間 2024-11-13T12:59:00+08:00
支援功能[0] ai-transcript