iVOD / 16174

Field Value
影片長度 26458
委員名稱 完整會議
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302ddea391e62378ca023b8c566a20a170b39c04c64b87e30630ad425eae5ec2030b35ea18f28b6918d91.mp4/playlist.m3u8
transcript.pyannote[0].speaker SPEAKER_07
transcript.pyannote[0].start 1870.87784375
transcript.pyannote[0].end 1875.19784375
transcript.pyannote[1].speaker SPEAKER_07
transcript.pyannote[1].start 1876.02471875
transcript.pyannote[1].end 1879.06221875
transcript.pyannote[2].speaker SPEAKER_44
transcript.pyannote[2].start 1876.42971875
transcript.pyannote[2].end 1876.54784375
transcript.pyannote[3].speaker SPEAKER_44
transcript.pyannote[3].start 1881.03659375
transcript.pyannote[3].end 1900.52721875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1888.81596875
transcript.pyannote[4].end 1889.72721875
transcript.pyannote[5].speaker SPEAKER_44
transcript.pyannote[5].start 1900.69596875
transcript.pyannote[5].end 1904.37471875
transcript.pyannote[6].speaker SPEAKER_44
transcript.pyannote[6].start 1904.77971875
transcript.pyannote[6].end 1918.87034375
transcript.pyannote[7].speaker SPEAKER_44
transcript.pyannote[7].start 1919.17409375
transcript.pyannote[7].end 1928.03346875
transcript.pyannote[8].speaker SPEAKER_44
transcript.pyannote[8].start 1928.25284375
transcript.pyannote[8].end 1931.52659375
transcript.pyannote[9].speaker SPEAKER_44
transcript.pyannote[9].start 1931.91471875
transcript.pyannote[9].end 1934.66534375
transcript.pyannote[10].speaker SPEAKER_07
transcript.pyannote[10].start 1936.67346875
transcript.pyannote[10].end 1939.55909375
transcript.pyannote[11].speaker SPEAKER_07
transcript.pyannote[11].start 1941.87096875
transcript.pyannote[11].end 1943.91284375
transcript.pyannote[12].speaker SPEAKER_07
transcript.pyannote[12].start 1944.94221875
transcript.pyannote[12].end 1949.71784375
transcript.pyannote[13].speaker SPEAKER_07
transcript.pyannote[13].start 1950.73034375
transcript.pyannote[13].end 1953.97034375
transcript.pyannote[14].speaker SPEAKER_07
transcript.pyannote[14].start 1955.05034375
transcript.pyannote[14].end 1957.58159375
transcript.pyannote[15].speaker SPEAKER_07
transcript.pyannote[15].start 1960.68659375
transcript.pyannote[15].end 1963.21784375
transcript.pyannote[16].speaker SPEAKER_07
transcript.pyannote[16].start 1964.82096875
transcript.pyannote[16].end 1965.29346875
transcript.pyannote[17].speaker SPEAKER_07
transcript.pyannote[17].start 1966.20471875
transcript.pyannote[17].end 1967.67284375
transcript.pyannote[18].speaker SPEAKER_07
transcript.pyannote[18].start 1968.09471875
transcript.pyannote[18].end 1970.42346875
transcript.pyannote[19].speaker SPEAKER_07
transcript.pyannote[19].start 1971.35159375
transcript.pyannote[19].end 1974.84471875
transcript.pyannote[20].speaker SPEAKER_07
transcript.pyannote[20].start 1975.95846875
transcript.pyannote[20].end 1979.21534375
transcript.pyannote[21].speaker SPEAKER_07
transcript.pyannote[21].start 1979.87346875
transcript.pyannote[21].end 1983.92346875
transcript.pyannote[22].speaker SPEAKER_07
transcript.pyannote[22].start 1984.32846875
transcript.pyannote[22].end 1984.90221875
transcript.pyannote[23].speaker SPEAKER_07
transcript.pyannote[23].start 1985.17221875
transcript.pyannote[23].end 1987.63596875
transcript.pyannote[24].speaker SPEAKER_07
transcript.pyannote[24].start 1987.93971875
transcript.pyannote[24].end 1988.41221875
transcript.pyannote[25].speaker SPEAKER_07
transcript.pyannote[25].start 1988.96909375
transcript.pyannote[25].end 1992.41159375
transcript.pyannote[26].speaker SPEAKER_07
transcript.pyannote[26].start 1992.90096875
transcript.pyannote[26].end 1996.29284375
transcript.pyannote[27].speaker SPEAKER_07
transcript.pyannote[27].start 1997.22096875
transcript.pyannote[27].end 1999.49909375
transcript.pyannote[28].speaker SPEAKER_07
transcript.pyannote[28].start 2000.73096875
transcript.pyannote[28].end 2002.92471875
transcript.pyannote[29].speaker SPEAKER_07
transcript.pyannote[29].start 2003.49846875
transcript.pyannote[29].end 2005.72596875
transcript.pyannote[30].speaker SPEAKER_07
transcript.pyannote[30].start 2006.80596875
transcript.pyannote[30].end 2009.52284375
transcript.pyannote[31].speaker SPEAKER_07
transcript.pyannote[31].start 2010.31596875
transcript.pyannote[31].end 2013.42096875
transcript.pyannote[32].speaker SPEAKER_07
transcript.pyannote[32].start 2013.91034375
transcript.pyannote[32].end 2017.48784375
transcript.pyannote[33].speaker SPEAKER_07
transcript.pyannote[33].start 2017.65659375
transcript.pyannote[33].end 2021.09909375
transcript.pyannote[34].speaker SPEAKER_07
transcript.pyannote[34].start 2021.77409375
transcript.pyannote[34].end 2023.66409375
transcript.pyannote[35].speaker SPEAKER_07
transcript.pyannote[35].start 2024.01846875
transcript.pyannote[35].end 2024.84534375
transcript.pyannote[36].speaker SPEAKER_07
transcript.pyannote[36].start 2024.98034375
transcript.pyannote[36].end 2026.07721875
transcript.pyannote[37].speaker SPEAKER_07
transcript.pyannote[37].start 2026.97159375
transcript.pyannote[37].end 2028.32159375
transcript.pyannote[38].speaker SPEAKER_07
transcript.pyannote[38].start 2028.43971875
transcript.pyannote[38].end 2030.38034375
transcript.pyannote[39].speaker SPEAKER_07
transcript.pyannote[39].start 2031.40971875
transcript.pyannote[39].end 2033.41784375
transcript.pyannote[40].speaker SPEAKER_07
transcript.pyannote[40].start 2034.41346875
transcript.pyannote[40].end 2036.77596875
transcript.pyannote[41].speaker SPEAKER_07
transcript.pyannote[41].start 2038.66596875
transcript.pyannote[41].end 2040.89346875
transcript.pyannote[42].speaker SPEAKER_07
transcript.pyannote[42].start 2041.38284375
transcript.pyannote[42].end 2044.36971875
transcript.pyannote[43].speaker SPEAKER_07
transcript.pyannote[43].start 2045.77034375
transcript.pyannote[43].end 2050.41096875
transcript.pyannote[44].speaker SPEAKER_07
transcript.pyannote[44].start 2050.52909375
transcript.pyannote[44].end 2054.41034375
transcript.pyannote[45].speaker SPEAKER_07
transcript.pyannote[45].start 2055.08534375
transcript.pyannote[45].end 2058.89909375
transcript.pyannote[46].speaker SPEAKER_07
transcript.pyannote[46].start 2059.84409375
transcript.pyannote[46].end 2061.02534375
transcript.pyannote[47].speaker SPEAKER_07
transcript.pyannote[47].start 2061.34596875
transcript.pyannote[47].end 2068.55159375
transcript.pyannote[48].speaker SPEAKER_07
transcript.pyannote[48].start 2069.09159375
transcript.pyannote[48].end 2073.00659375
transcript.pyannote[49].speaker SPEAKER_07
transcript.pyannote[49].start 2073.68159375
transcript.pyannote[49].end 2078.13659375
transcript.pyannote[50].speaker SPEAKER_07
transcript.pyannote[50].start 2078.92971875
transcript.pyannote[50].end 2082.45659375
transcript.pyannote[51].speaker SPEAKER_07
transcript.pyannote[51].start 2082.97971875
transcript.pyannote[51].end 2087.38409375
transcript.pyannote[52].speaker SPEAKER_07
transcript.pyannote[52].start 2089.59471875
transcript.pyannote[52].end 2091.23159375
transcript.pyannote[53].speaker SPEAKER_07
transcript.pyannote[53].start 2091.61971875
transcript.pyannote[53].end 2094.20159375
transcript.pyannote[54].speaker SPEAKER_07
transcript.pyannote[54].start 2094.57284375
transcript.pyannote[54].end 2096.14221875
transcript.pyannote[55].speaker SPEAKER_07
transcript.pyannote[55].start 2096.68221875
transcript.pyannote[55].end 2104.84971875
transcript.pyannote[56].speaker SPEAKER_07
transcript.pyannote[56].start 2105.15346875
transcript.pyannote[56].end 2109.18659375
transcript.pyannote[57].speaker SPEAKER_07
transcript.pyannote[57].start 2109.60846875
transcript.pyannote[57].end 2112.81471875
transcript.pyannote[58].speaker SPEAKER_07
transcript.pyannote[58].start 2113.05096875
transcript.pyannote[58].end 2118.31596875
transcript.pyannote[59].speaker SPEAKER_07
transcript.pyannote[59].start 2121.87659375
transcript.pyannote[59].end 2131.36034375
transcript.pyannote[60].speaker SPEAKER_29
transcript.pyannote[60].start 2146.34534375
transcript.pyannote[60].end 2146.56471875
transcript.pyannote[61].speaker SPEAKER_29
transcript.pyannote[61].start 2146.76721875
transcript.pyannote[61].end 2148.53909375
transcript.pyannote[62].speaker SPEAKER_29
transcript.pyannote[62].start 2148.75846875
transcript.pyannote[62].end 2156.68971875
transcript.pyannote[63].speaker SPEAKER_29
transcript.pyannote[63].start 2157.98909375
transcript.pyannote[63].end 2159.50784375
transcript.pyannote[64].speaker SPEAKER_29
transcript.pyannote[64].start 2160.04784375
transcript.pyannote[64].end 2162.30909375
transcript.pyannote[65].speaker SPEAKER_29
transcript.pyannote[65].start 2163.72659375
transcript.pyannote[65].end 2182.94721875
transcript.pyannote[66].speaker SPEAKER_29
transcript.pyannote[66].start 2183.23409375
transcript.pyannote[66].end 2184.61784375
transcript.pyannote[67].speaker SPEAKER_29
transcript.pyannote[67].start 2185.14096875
transcript.pyannote[67].end 2189.00534375
transcript.pyannote[68].speaker SPEAKER_29
transcript.pyannote[68].start 2189.52846875
transcript.pyannote[68].end 2192.16096875
transcript.pyannote[69].speaker SPEAKER_29
transcript.pyannote[69].start 2193.15659375
transcript.pyannote[69].end 2195.77221875
transcript.pyannote[70].speaker SPEAKER_29
transcript.pyannote[70].start 2196.75096875
transcript.pyannote[70].end 2200.02471875
transcript.pyannote[71].speaker SPEAKER_29
transcript.pyannote[71].start 2200.21034375
transcript.pyannote[71].end 2201.72909375
transcript.pyannote[72].speaker SPEAKER_29
transcript.pyannote[72].start 2202.75846875
transcript.pyannote[72].end 2204.27721875
transcript.pyannote[73].speaker SPEAKER_29
transcript.pyannote[73].start 2204.66534375
transcript.pyannote[73].end 2208.98534375
transcript.pyannote[74].speaker SPEAKER_29
transcript.pyannote[74].start 2209.72784375
transcript.pyannote[74].end 2214.57096875
transcript.pyannote[75].speaker SPEAKER_29
transcript.pyannote[75].start 2214.97596875
transcript.pyannote[75].end 2216.10659375
transcript.pyannote[76].speaker SPEAKER_29
transcript.pyannote[76].start 2216.25846875
transcript.pyannote[76].end 2225.16846875
transcript.pyannote[77].speaker SPEAKER_29
transcript.pyannote[77].start 2225.97846875
transcript.pyannote[77].end 2226.75471875
transcript.pyannote[78].speaker SPEAKER_29
transcript.pyannote[78].start 2229.74159375
transcript.pyannote[78].end 2246.61659375
transcript.pyannote[79].speaker SPEAKER_29
transcript.pyannote[79].start 2247.39284375
transcript.pyannote[79].end 2255.03721875
transcript.pyannote[80].speaker SPEAKER_29
transcript.pyannote[80].start 2255.44221875
transcript.pyannote[80].end 2257.77096875
transcript.pyannote[81].speaker SPEAKER_29
transcript.pyannote[81].start 2257.97346875
transcript.pyannote[81].end 2270.24159375
transcript.pyannote[82].speaker SPEAKER_29
transcript.pyannote[82].start 2271.23721875
transcript.pyannote[82].end 2285.39534375
transcript.pyannote[83].speaker SPEAKER_29
transcript.pyannote[83].start 2285.80034375
transcript.pyannote[83].end 2291.03159375
transcript.pyannote[84].speaker SPEAKER_29
transcript.pyannote[84].start 2291.26784375
transcript.pyannote[84].end 2298.60846875
transcript.pyannote[85].speaker SPEAKER_29
transcript.pyannote[85].start 2300.36346875
transcript.pyannote[85].end 2301.62909375
transcript.pyannote[86].speaker SPEAKER_29
transcript.pyannote[86].start 2302.01721875
transcript.pyannote[86].end 2313.82971875
transcript.pyannote[87].speaker SPEAKER_29
transcript.pyannote[87].start 2314.20096875
transcript.pyannote[87].end 2331.46409375
transcript.pyannote[88].speaker SPEAKER_29
transcript.pyannote[88].start 2331.73409375
transcript.pyannote[88].end 2332.67909375
transcript.pyannote[89].speaker SPEAKER_29
transcript.pyannote[89].start 2332.99971875
transcript.pyannote[89].end 2338.16346875
transcript.pyannote[90].speaker SPEAKER_29
transcript.pyannote[90].start 2339.00721875
transcript.pyannote[90].end 2354.92034375
transcript.pyannote[91].speaker SPEAKER_29
transcript.pyannote[91].start 2355.37596875
transcript.pyannote[91].end 2378.89971875
transcript.pyannote[92].speaker SPEAKER_29
transcript.pyannote[92].start 2381.78534375
transcript.pyannote[92].end 2386.99971875
transcript.pyannote[93].speaker SPEAKER_29
transcript.pyannote[93].start 2387.52284375
transcript.pyannote[93].end 2393.80034375
transcript.pyannote[94].speaker SPEAKER_29
transcript.pyannote[94].start 2393.96909375
transcript.pyannote[94].end 2416.46346875
transcript.pyannote[95].speaker SPEAKER_29
transcript.pyannote[95].start 2417.32409375
transcript.pyannote[95].end 2425.54221875
transcript.pyannote[96].speaker SPEAKER_29
transcript.pyannote[96].start 2425.64346875
transcript.pyannote[96].end 2433.87846875
transcript.pyannote[97].speaker SPEAKER_29
transcript.pyannote[97].start 2436.39284375
transcript.pyannote[97].end 2452.05284375
transcript.pyannote[98].speaker SPEAKER_29
transcript.pyannote[98].start 2452.50846875
transcript.pyannote[98].end 2478.04034375
transcript.pyannote[99].speaker SPEAKER_29
transcript.pyannote[99].start 2478.51284375
transcript.pyannote[99].end 2484.80721875
transcript.pyannote[100].speaker SPEAKER_29
transcript.pyannote[100].start 2485.43159375
transcript.pyannote[100].end 2489.81909375
transcript.pyannote[101].speaker SPEAKER_29
transcript.pyannote[101].start 2489.90346875
transcript.pyannote[101].end 2500.61909375
transcript.pyannote[102].speaker SPEAKER_29
transcript.pyannote[102].start 2500.78784375
transcript.pyannote[102].end 2508.95534375
transcript.pyannote[103].speaker SPEAKER_29
transcript.pyannote[103].start 2512.27971875
transcript.pyannote[103].end 2514.79409375
transcript.pyannote[104].speaker SPEAKER_29
transcript.pyannote[104].start 2515.31721875
transcript.pyannote[104].end 2525.39159375
transcript.pyannote[105].speaker SPEAKER_29
transcript.pyannote[105].start 2525.84721875
transcript.pyannote[105].end 2526.74159375
transcript.pyannote[106].speaker SPEAKER_29
transcript.pyannote[106].start 2527.68659375
transcript.pyannote[106].end 2533.66034375
transcript.pyannote[107].speaker SPEAKER_29
transcript.pyannote[107].start 2534.58846875
transcript.pyannote[107].end 2535.48284375
transcript.pyannote[108].speaker SPEAKER_29
transcript.pyannote[108].start 2535.61784375
transcript.pyannote[108].end 2560.01909375
transcript.pyannote[109].speaker SPEAKER_29
transcript.pyannote[109].start 2560.82909375
transcript.pyannote[109].end 2564.25471875
transcript.pyannote[110].speaker SPEAKER_29
transcript.pyannote[110].start 2564.65971875
transcript.pyannote[110].end 2569.11471875
transcript.pyannote[111].speaker SPEAKER_29
transcript.pyannote[111].start 2570.97096875
transcript.pyannote[111].end 2578.91909375
transcript.pyannote[112].speaker SPEAKER_29
transcript.pyannote[112].start 2579.18909375
transcript.pyannote[112].end 2584.92659375
transcript.pyannote[113].speaker SPEAKER_29
transcript.pyannote[113].start 2585.68596875
transcript.pyannote[113].end 2590.39409375
transcript.pyannote[114].speaker SPEAKER_29
transcript.pyannote[114].start 2592.94221875
transcript.pyannote[114].end 2596.04721875
transcript.pyannote[115].speaker SPEAKER_29
transcript.pyannote[115].start 2596.36784375
transcript.pyannote[115].end 2602.30784375
transcript.pyannote[116].speaker SPEAKER_29
transcript.pyannote[116].start 2603.28659375
transcript.pyannote[116].end 2625.94971875
transcript.pyannote[117].speaker SPEAKER_29
transcript.pyannote[117].start 2626.37159375
transcript.pyannote[117].end 2630.62409375
transcript.pyannote[118].speaker SPEAKER_29
transcript.pyannote[118].start 2631.78846875
transcript.pyannote[118].end 2633.79659375
transcript.pyannote[119].speaker SPEAKER_29
transcript.pyannote[119].start 2634.94409375
transcript.pyannote[119].end 2638.45409375
transcript.pyannote[120].speaker SPEAKER_29
transcript.pyannote[120].start 2639.83784375
transcript.pyannote[120].end 2654.51909375
transcript.pyannote[121].speaker SPEAKER_29
transcript.pyannote[121].start 2655.70034375
transcript.pyannote[121].end 2671.54596875
transcript.pyannote[122].speaker SPEAKER_29
transcript.pyannote[122].start 2671.88346875
transcript.pyannote[122].end 2673.18284375
transcript.pyannote[123].speaker SPEAKER_29
transcript.pyannote[123].start 2673.65534375
transcript.pyannote[123].end 2679.52784375
transcript.pyannote[124].speaker SPEAKER_29
transcript.pyannote[124].start 2680.38846875
transcript.pyannote[124].end 2687.03721875
transcript.pyannote[125].speaker SPEAKER_29
transcript.pyannote[125].start 2688.13409375
transcript.pyannote[125].end 2690.49659375
transcript.pyannote[126].speaker SPEAKER_29
transcript.pyannote[126].start 2691.00284375
transcript.pyannote[126].end 2694.59721875
transcript.pyannote[127].speaker SPEAKER_29
transcript.pyannote[127].start 2695.10346875
transcript.pyannote[127].end 2697.24659375
transcript.pyannote[128].speaker SPEAKER_29
transcript.pyannote[128].start 2697.75284375
transcript.pyannote[128].end 2714.08784375
transcript.pyannote[129].speaker SPEAKER_29
transcript.pyannote[129].start 2714.83034375
transcript.pyannote[129].end 2716.80471875
transcript.pyannote[130].speaker SPEAKER_29
transcript.pyannote[130].start 2720.01096875
transcript.pyannote[130].end 2720.51721875
transcript.pyannote[131].speaker SPEAKER_29
transcript.pyannote[131].start 2720.77034375
transcript.pyannote[131].end 2722.54221875
transcript.pyannote[132].speaker SPEAKER_29
transcript.pyannote[132].start 2722.79534375
transcript.pyannote[132].end 2730.96284375
transcript.pyannote[133].speaker SPEAKER_29
transcript.pyannote[133].start 2731.43534375
transcript.pyannote[133].end 2732.92034375
transcript.pyannote[134].speaker SPEAKER_29
transcript.pyannote[134].start 2733.32534375
transcript.pyannote[134].end 2735.29971875
transcript.pyannote[135].speaker SPEAKER_29
transcript.pyannote[135].start 2735.85659375
transcript.pyannote[135].end 2736.34596875
transcript.pyannote[136].speaker SPEAKER_29
transcript.pyannote[136].start 2737.00409375
transcript.pyannote[136].end 2737.93221875
transcript.pyannote[137].speaker SPEAKER_29
transcript.pyannote[137].start 2739.04596875
transcript.pyannote[137].end 2740.34534375
transcript.pyannote[138].speaker SPEAKER_29
transcript.pyannote[138].start 2740.53096875
transcript.pyannote[138].end 2741.49284375
transcript.pyannote[139].speaker SPEAKER_29
transcript.pyannote[139].start 2741.59409375
transcript.pyannote[139].end 2750.06534375
transcript.pyannote[140].speaker SPEAKER_29
transcript.pyannote[140].start 2751.65159375
transcript.pyannote[140].end 2755.00971875
transcript.pyannote[141].speaker SPEAKER_29
transcript.pyannote[141].start 2756.52846875
transcript.pyannote[141].end 2762.55284375
transcript.pyannote[142].speaker SPEAKER_29
transcript.pyannote[142].start 2764.71284375
transcript.pyannote[142].end 2779.49534375
transcript.pyannote[143].speaker SPEAKER_29
transcript.pyannote[143].start 2779.91721875
transcript.pyannote[143].end 2782.29659375
transcript.pyannote[144].speaker SPEAKER_29
transcript.pyannote[144].start 2782.68471875
transcript.pyannote[144].end 2789.18159375
transcript.pyannote[145].speaker SPEAKER_29
transcript.pyannote[145].start 2789.46846875
transcript.pyannote[145].end 2792.35409375
transcript.pyannote[146].speaker SPEAKER_29
transcript.pyannote[146].start 2795.98221875
transcript.pyannote[146].end 2798.46284375
transcript.pyannote[147].speaker SPEAKER_29
transcript.pyannote[147].start 2798.59784375
transcript.pyannote[147].end 2800.85909375
transcript.pyannote[148].speaker SPEAKER_29
transcript.pyannote[148].start 2801.07846875
transcript.pyannote[148].end 2802.85034375
transcript.pyannote[149].speaker SPEAKER_29
transcript.pyannote[149].start 2803.69409375
transcript.pyannote[149].end 2807.35596875
transcript.pyannote[150].speaker SPEAKER_29
transcript.pyannote[150].start 2807.76096875
transcript.pyannote[150].end 2812.65471875
transcript.pyannote[151].speaker SPEAKER_29
transcript.pyannote[151].start 2813.17784375
transcript.pyannote[151].end 2816.68784375
transcript.pyannote[152].speaker SPEAKER_29
transcript.pyannote[152].start 2816.94096875
transcript.pyannote[152].end 2818.40909375
transcript.pyannote[153].speaker SPEAKER_29
transcript.pyannote[153].start 2818.98284375
transcript.pyannote[153].end 2826.84659375
transcript.pyannote[154].speaker SPEAKER_29
transcript.pyannote[154].start 2827.26846875
transcript.pyannote[154].end 2834.15346875
transcript.pyannote[155].speaker SPEAKER_29
transcript.pyannote[155].start 2835.25034375
transcript.pyannote[155].end 2839.90784375
transcript.pyannote[156].speaker SPEAKER_29
transcript.pyannote[156].start 2840.14409375
transcript.pyannote[156].end 2847.11346875
transcript.pyannote[157].speaker SPEAKER_29
transcript.pyannote[157].start 2847.99096875
transcript.pyannote[157].end 2850.38721875
transcript.pyannote[158].speaker SPEAKER_29
transcript.pyannote[158].start 2850.84284375
transcript.pyannote[158].end 2859.48284375
transcript.pyannote[159].speaker SPEAKER_29
transcript.pyannote[159].start 2861.28846875
transcript.pyannote[159].end 2866.78971875
transcript.pyannote[160].speaker SPEAKER_29
transcript.pyannote[160].start 2867.02596875
transcript.pyannote[160].end 2872.44284375
transcript.pyannote[161].speaker SPEAKER_29
transcript.pyannote[161].start 2873.11784375
transcript.pyannote[161].end 2878.11284375
transcript.pyannote[162].speaker SPEAKER_29
transcript.pyannote[162].start 2880.69471875
transcript.pyannote[162].end 2888.03534375
transcript.pyannote[163].speaker SPEAKER_29
transcript.pyannote[163].start 2888.38971875
transcript.pyannote[163].end 2894.92034375
transcript.pyannote[164].speaker SPEAKER_29
transcript.pyannote[164].start 2895.29159375
transcript.pyannote[164].end 2899.86471875
transcript.pyannote[165].speaker SPEAKER_29
transcript.pyannote[165].start 2900.80971875
transcript.pyannote[165].end 2908.92659375
transcript.pyannote[166].speaker SPEAKER_29
transcript.pyannote[166].start 2909.51721875
transcript.pyannote[166].end 2917.19534375
transcript.pyannote[167].speaker SPEAKER_29
transcript.pyannote[167].start 2917.53284375
transcript.pyannote[167].end 2920.99221875
transcript.pyannote[168].speaker SPEAKER_29
transcript.pyannote[168].start 2921.49846875
transcript.pyannote[168].end 2926.12221875
transcript.pyannote[169].speaker SPEAKER_29
transcript.pyannote[169].start 2926.71284375
transcript.pyannote[169].end 2928.09659375
transcript.pyannote[170].speaker SPEAKER_29
transcript.pyannote[170].start 2928.46784375
transcript.pyannote[170].end 2929.21034375
transcript.pyannote[171].speaker SPEAKER_29
transcript.pyannote[171].start 2930.34096875
transcript.pyannote[171].end 2938.03596875
transcript.pyannote[172].speaker SPEAKER_29
transcript.pyannote[172].start 2938.06971875
transcript.pyannote[172].end 2939.52096875
transcript.pyannote[173].speaker SPEAKER_29
transcript.pyannote[173].start 2944.38096875
transcript.pyannote[173].end 2947.03034375
transcript.pyannote[174].speaker SPEAKER_29
transcript.pyannote[174].start 2947.67159375
transcript.pyannote[174].end 2952.14346875
transcript.pyannote[175].speaker SPEAKER_29
transcript.pyannote[175].start 2952.83534375
transcript.pyannote[175].end 2973.11909375
transcript.pyannote[176].speaker SPEAKER_29
transcript.pyannote[176].start 2973.37221875
transcript.pyannote[176].end 2976.27471875
transcript.pyannote[177].speaker SPEAKER_29
transcript.pyannote[177].start 2976.42659375
transcript.pyannote[177].end 2979.17721875
transcript.pyannote[178].speaker SPEAKER_29
transcript.pyannote[178].start 2980.05471875
transcript.pyannote[178].end 2981.25284375
transcript.pyannote[179].speaker SPEAKER_29
transcript.pyannote[179].start 2981.47221875
transcript.pyannote[179].end 2986.60221875
transcript.pyannote[180].speaker SPEAKER_29
transcript.pyannote[180].start 2986.99034375
transcript.pyannote[180].end 2990.06159375
transcript.pyannote[181].speaker SPEAKER_29
transcript.pyannote[181].start 2990.80409375
transcript.pyannote[181].end 2992.99784375
transcript.pyannote[182].speaker SPEAKER_29
transcript.pyannote[182].start 2993.67284375
transcript.pyannote[182].end 2995.83284375
transcript.pyannote[183].speaker SPEAKER_29
transcript.pyannote[183].start 2996.28846875
transcript.pyannote[183].end 2997.95909375
transcript.pyannote[184].speaker SPEAKER_29
transcript.pyannote[184].start 2998.97159375
transcript.pyannote[184].end 3001.84034375
transcript.pyannote[185].speaker SPEAKER_29
transcript.pyannote[185].start 3002.41409375
transcript.pyannote[185].end 3003.51096875
transcript.pyannote[186].speaker SPEAKER_29
transcript.pyannote[186].start 3003.64596875
transcript.pyannote[186].end 3010.24409375
transcript.pyannote[187].speaker SPEAKER_29
transcript.pyannote[187].start 3013.29846875
transcript.pyannote[187].end 3014.07471875
transcript.pyannote[188].speaker SPEAKER_29
transcript.pyannote[188].start 3014.83409375
transcript.pyannote[188].end 3016.55534375
transcript.pyannote[189].speaker SPEAKER_29
transcript.pyannote[189].start 3016.82534375
transcript.pyannote[189].end 3020.94284375
transcript.pyannote[190].speaker SPEAKER_29
transcript.pyannote[190].start 3021.29721875
transcript.pyannote[190].end 3038.45909375
transcript.pyannote[191].speaker SPEAKER_29
transcript.pyannote[191].start 3038.91471875
transcript.pyannote[191].end 3050.03534375
transcript.pyannote[192].speaker SPEAKER_29
transcript.pyannote[192].start 3050.38971875
transcript.pyannote[192].end 3062.99534375
transcript.pyannote[193].speaker SPEAKER_29
transcript.pyannote[193].start 3063.67034375
transcript.pyannote[193].end 3066.04971875
transcript.pyannote[194].speaker SPEAKER_29
transcript.pyannote[194].start 3066.33659375
transcript.pyannote[194].end 3070.01534375
transcript.pyannote[195].speaker SPEAKER_29
transcript.pyannote[195].start 3070.33596875
transcript.pyannote[195].end 3072.88409375
transcript.pyannote[196].speaker SPEAKER_29
transcript.pyannote[196].start 3073.45784375
transcript.pyannote[196].end 3074.35221875
transcript.pyannote[197].speaker SPEAKER_29
transcript.pyannote[197].start 3075.09471875
transcript.pyannote[197].end 3077.35596875
transcript.pyannote[198].speaker SPEAKER_29
transcript.pyannote[198].start 3078.85784375
transcript.pyannote[198].end 3080.24159375
transcript.pyannote[199].speaker SPEAKER_29
transcript.pyannote[199].start 3080.78159375
transcript.pyannote[199].end 3084.61221875
transcript.pyannote[200].speaker SPEAKER_22
transcript.pyannote[200].start 3081.70971875
transcript.pyannote[200].end 3081.89534375
transcript.pyannote[201].speaker SPEAKER_29
transcript.pyannote[201].start 3085.15221875
transcript.pyannote[201].end 3085.59096875
transcript.pyannote[202].speaker SPEAKER_29
transcript.pyannote[202].start 3085.70909375
transcript.pyannote[202].end 3086.80596875
transcript.pyannote[203].speaker SPEAKER_29
transcript.pyannote[203].start 3089.82659375
transcript.pyannote[203].end 3096.74534375
transcript.pyannote[204].speaker SPEAKER_29
transcript.pyannote[204].start 3097.36971875
transcript.pyannote[204].end 3103.27596875
transcript.pyannote[205].speaker SPEAKER_29
transcript.pyannote[205].start 3103.88346875
transcript.pyannote[205].end 3114.17721875
transcript.pyannote[206].speaker SPEAKER_29
transcript.pyannote[206].start 3115.12221875
transcript.pyannote[206].end 3118.15971875
transcript.pyannote[207].speaker SPEAKER_29
transcript.pyannote[207].start 3118.85159375
transcript.pyannote[207].end 3121.63596875
transcript.pyannote[208].speaker SPEAKER_29
transcript.pyannote[208].start 3122.22659375
transcript.pyannote[208].end 3129.68534375
transcript.pyannote[209].speaker SPEAKER_29
transcript.pyannote[209].start 3130.41096875
transcript.pyannote[209].end 3132.70596875
transcript.pyannote[210].speaker SPEAKER_29
transcript.pyannote[210].start 3133.09409375
transcript.pyannote[210].end 3135.81096875
transcript.pyannote[211].speaker SPEAKER_29
transcript.pyannote[211].start 3136.38471875
transcript.pyannote[211].end 3139.94534375
transcript.pyannote[212].speaker SPEAKER_29
transcript.pyannote[212].start 3140.51909375
transcript.pyannote[212].end 3150.57659375
transcript.pyannote[213].speaker SPEAKER_29
transcript.pyannote[213].start 3152.77034375
transcript.pyannote[213].end 3173.81346875
transcript.pyannote[214].speaker SPEAKER_29
transcript.pyannote[214].start 3174.48846875
transcript.pyannote[214].end 3175.61909375
transcript.pyannote[215].speaker SPEAKER_29
transcript.pyannote[215].start 3175.95659375
transcript.pyannote[215].end 3206.55096875
transcript.pyannote[216].speaker SPEAKER_29
transcript.pyannote[216].start 3206.88846875
transcript.pyannote[216].end 3240.79034375
transcript.pyannote[217].speaker SPEAKER_29
transcript.pyannote[217].start 3241.66784375
transcript.pyannote[217].end 3247.69221875
transcript.pyannote[218].speaker SPEAKER_29
transcript.pyannote[218].start 3250.79721875
transcript.pyannote[218].end 3251.70846875
transcript.pyannote[219].speaker SPEAKER_29
transcript.pyannote[219].start 3252.58596875
transcript.pyannote[219].end 3253.91909375
transcript.pyannote[220].speaker SPEAKER_29
transcript.pyannote[220].start 3253.96971875
transcript.pyannote[220].end 3253.98659375
transcript.pyannote[221].speaker SPEAKER_29
transcript.pyannote[221].start 3254.17221875
transcript.pyannote[221].end 3255.82596875
transcript.pyannote[222].speaker SPEAKER_29
transcript.pyannote[222].start 3256.43346875
transcript.pyannote[222].end 3271.67159375
transcript.pyannote[223].speaker SPEAKER_29
transcript.pyannote[223].start 3272.00909375
transcript.pyannote[223].end 3274.13534375
transcript.pyannote[224].speaker SPEAKER_29
transcript.pyannote[224].start 3274.52346875
transcript.pyannote[224].end 3276.51471875
transcript.pyannote[225].speaker SPEAKER_29
transcript.pyannote[225].start 3276.86909375
transcript.pyannote[225].end 3280.02471875
transcript.pyannote[226].speaker SPEAKER_29
transcript.pyannote[226].start 3281.96534375
transcript.pyannote[226].end 3284.76659375
transcript.pyannote[227].speaker SPEAKER_29
transcript.pyannote[227].start 3285.05346875
transcript.pyannote[227].end 3288.91784375
transcript.pyannote[228].speaker SPEAKER_29
transcript.pyannote[228].start 3290.21721875
transcript.pyannote[228].end 3293.20409375
transcript.pyannote[229].speaker SPEAKER_29
transcript.pyannote[229].start 3293.99721875
transcript.pyannote[229].end 3302.51909375
transcript.pyannote[230].speaker SPEAKER_29
transcript.pyannote[230].start 3303.09284375
transcript.pyannote[230].end 3304.42596875
transcript.pyannote[231].speaker SPEAKER_29
transcript.pyannote[231].start 3304.62846875
transcript.pyannote[231].end 3309.18471875
transcript.pyannote[232].speaker SPEAKER_29
transcript.pyannote[232].start 3309.53909375
transcript.pyannote[232].end 3310.82159375
transcript.pyannote[233].speaker SPEAKER_29
transcript.pyannote[233].start 3314.04471875
transcript.pyannote[233].end 3316.47471875
transcript.pyannote[234].speaker SPEAKER_29
transcript.pyannote[234].start 3316.84596875
transcript.pyannote[234].end 3339.64409375
transcript.pyannote[235].speaker SPEAKER_29
transcript.pyannote[235].start 3340.35284375
transcript.pyannote[235].end 3340.85909375
transcript.pyannote[236].speaker SPEAKER_29
transcript.pyannote[236].start 3341.33159375
transcript.pyannote[236].end 3342.32721875
transcript.pyannote[237].speaker SPEAKER_29
transcript.pyannote[237].start 3342.63096875
transcript.pyannote[237].end 3344.09909375
transcript.pyannote[238].speaker SPEAKER_29
transcript.pyannote[238].start 3346.07346875
transcript.pyannote[238].end 3348.14909375
transcript.pyannote[239].speaker SPEAKER_29
transcript.pyannote[239].start 3348.70596875
transcript.pyannote[239].end 3351.13596875
transcript.pyannote[240].speaker SPEAKER_29
transcript.pyannote[240].start 3352.94159375
transcript.pyannote[240].end 3361.78409375
transcript.pyannote[241].speaker SPEAKER_29
transcript.pyannote[241].start 3361.85159375
transcript.pyannote[241].end 3377.30909375
transcript.pyannote[242].speaker SPEAKER_29
transcript.pyannote[242].start 3377.83221875
transcript.pyannote[242].end 3381.10596875
transcript.pyannote[243].speaker SPEAKER_29
transcript.pyannote[243].start 3381.46034375
transcript.pyannote[243].end 3386.60721875
transcript.pyannote[244].speaker SPEAKER_29
transcript.pyannote[244].start 3386.72534375
transcript.pyannote[244].end 3394.62284375
transcript.pyannote[245].speaker SPEAKER_29
transcript.pyannote[245].start 3397.13721875
transcript.pyannote[245].end 3401.30534375
transcript.pyannote[246].speaker SPEAKER_29
transcript.pyannote[246].start 3402.63846875
transcript.pyannote[246].end 3413.03346875
transcript.pyannote[247].speaker SPEAKER_29
transcript.pyannote[247].start 3413.53971875
transcript.pyannote[247].end 3428.00159375
transcript.pyannote[248].speaker SPEAKER_29
transcript.pyannote[248].start 3428.89596875
transcript.pyannote[248].end 3429.79034375
transcript.pyannote[249].speaker SPEAKER_29
transcript.pyannote[249].start 3430.78596875
transcript.pyannote[249].end 3439.79721875
transcript.pyannote[250].speaker SPEAKER_29
transcript.pyannote[250].start 3440.43846875
transcript.pyannote[250].end 3443.39159375
transcript.pyannote[251].speaker SPEAKER_29
transcript.pyannote[251].start 3444.15096875
transcript.pyannote[251].end 3450.54659375
transcript.pyannote[252].speaker SPEAKER_29
transcript.pyannote[252].start 3451.52534375
transcript.pyannote[252].end 3455.82846875
transcript.pyannote[253].speaker SPEAKER_29
transcript.pyannote[253].start 3457.07721875
transcript.pyannote[253].end 3459.59159375
transcript.pyannote[254].speaker SPEAKER_29
transcript.pyannote[254].start 3460.24971875
transcript.pyannote[254].end 3463.13534375
transcript.pyannote[255].speaker SPEAKER_29
transcript.pyannote[255].start 3463.21971875
transcript.pyannote[255].end 3463.91159375
transcript.pyannote[256].speaker SPEAKER_29
transcript.pyannote[256].start 3464.73846875
transcript.pyannote[256].end 3472.83846875
transcript.pyannote[257].speaker SPEAKER_29
transcript.pyannote[257].start 3473.15909375
transcript.pyannote[257].end 3475.23471875
transcript.pyannote[258].speaker SPEAKER_29
transcript.pyannote[258].start 3477.42846875
transcript.pyannote[258].end 3479.01471875
transcript.pyannote[259].speaker SPEAKER_29
transcript.pyannote[259].start 3479.14971875
transcript.pyannote[259].end 3485.32596875
transcript.pyannote[260].speaker SPEAKER_29
transcript.pyannote[260].start 3486.32159375
transcript.pyannote[260].end 3490.64159375
transcript.pyannote[261].speaker SPEAKER_29
transcript.pyannote[261].start 3490.92846875
transcript.pyannote[261].end 3495.38346875
transcript.pyannote[262].speaker SPEAKER_29
transcript.pyannote[262].start 3496.56471875
transcript.pyannote[262].end 3506.63909375
transcript.pyannote[263].speaker SPEAKER_29
transcript.pyannote[263].start 3507.66846875
transcript.pyannote[263].end 3516.27471875
transcript.pyannote[264].speaker SPEAKER_29
transcript.pyannote[264].start 3517.38846875
transcript.pyannote[264].end 3522.46784375
transcript.pyannote[265].speaker SPEAKER_29
transcript.pyannote[265].start 3522.72096875
transcript.pyannote[265].end 3524.37471875
transcript.pyannote[266].speaker SPEAKER_29
transcript.pyannote[266].start 3525.69096875
transcript.pyannote[266].end 3526.97346875
transcript.pyannote[267].speaker SPEAKER_29
transcript.pyannote[267].start 3527.32784375
transcript.pyannote[267].end 3528.72846875
transcript.pyannote[268].speaker SPEAKER_29
transcript.pyannote[268].start 3528.89721875
transcript.pyannote[268].end 3539.76471875
transcript.pyannote[269].speaker SPEAKER_29
transcript.pyannote[269].start 3540.30471875
transcript.pyannote[269].end 3540.89534375
transcript.pyannote[270].speaker SPEAKER_29
transcript.pyannote[270].start 3541.08096875
transcript.pyannote[270].end 3541.82346875
transcript.pyannote[271].speaker SPEAKER_29
transcript.pyannote[271].start 3543.91596875
transcript.pyannote[271].end 3548.30346875
transcript.pyannote[272].speaker SPEAKER_29
transcript.pyannote[272].start 3548.57346875
transcript.pyannote[272].end 3550.81784375
transcript.pyannote[273].speaker SPEAKER_29
transcript.pyannote[273].start 3551.64471875
transcript.pyannote[273].end 3555.17159375
transcript.pyannote[274].speaker SPEAKER_29
transcript.pyannote[274].start 3556.60596875
transcript.pyannote[274].end 3558.32721875
transcript.pyannote[275].speaker SPEAKER_29
transcript.pyannote[275].start 3558.54659375
transcript.pyannote[275].end 3559.59284375
transcript.pyannote[276].speaker SPEAKER_29
transcript.pyannote[276].start 3563.62596875
transcript.pyannote[276].end 3575.74221875
transcript.pyannote[277].speaker SPEAKER_29
transcript.pyannote[277].start 3577.00784375
transcript.pyannote[277].end 3589.02284375
transcript.pyannote[278].speaker SPEAKER_29
transcript.pyannote[278].start 3589.37721875
transcript.pyannote[278].end 3591.63846875
transcript.pyannote[279].speaker SPEAKER_29
transcript.pyannote[279].start 3592.36409375
transcript.pyannote[279].end 3599.19846875
transcript.pyannote[280].speaker SPEAKER_29
transcript.pyannote[280].start 3599.35034375
transcript.pyannote[280].end 3600.71721875
transcript.pyannote[281].speaker SPEAKER_29
transcript.pyannote[281].start 3601.67909375
transcript.pyannote[281].end 3609.35721875
transcript.pyannote[282].speaker SPEAKER_29
transcript.pyannote[282].start 3615.33096875
transcript.pyannote[282].end 3618.19971875
transcript.pyannote[283].speaker SPEAKER_29
transcript.pyannote[283].start 3618.33471875
transcript.pyannote[283].end 3630.23159375
transcript.pyannote[284].speaker SPEAKER_29
transcript.pyannote[284].start 3630.97409375
transcript.pyannote[284].end 3633.43784375
transcript.pyannote[285].speaker SPEAKER_29
transcript.pyannote[285].start 3634.04534375
transcript.pyannote[285].end 3637.03221875
transcript.pyannote[286].speaker SPEAKER_29
transcript.pyannote[286].start 3638.50034375
transcript.pyannote[286].end 3640.25534375
transcript.pyannote[287].speaker SPEAKER_29
transcript.pyannote[287].start 3640.62659375
transcript.pyannote[287].end 3641.21721875
transcript.pyannote[288].speaker SPEAKER_29
transcript.pyannote[288].start 3642.56721875
transcript.pyannote[288].end 3647.57909375
transcript.pyannote[289].speaker SPEAKER_29
transcript.pyannote[289].start 3647.79846875
transcript.pyannote[289].end 3672.79034375
transcript.pyannote[290].speaker SPEAKER_29
transcript.pyannote[290].start 3674.83221875
transcript.pyannote[290].end 3677.44784375
transcript.pyannote[291].speaker SPEAKER_29
transcript.pyannote[291].start 3678.24096875
transcript.pyannote[291].end 3693.74909375
transcript.pyannote[292].speaker SPEAKER_29
transcript.pyannote[292].start 3694.40721875
transcript.pyannote[292].end 3695.08221875
transcript.pyannote[293].speaker SPEAKER_29
transcript.pyannote[293].start 3695.63909375
transcript.pyannote[293].end 3700.73534375
transcript.pyannote[294].speaker SPEAKER_29
transcript.pyannote[294].start 3704.81909375
transcript.pyannote[294].end 3706.99596875
transcript.pyannote[295].speaker SPEAKER_29
transcript.pyannote[295].start 3707.70471875
transcript.pyannote[295].end 3727.02659375
transcript.pyannote[296].speaker SPEAKER_29
transcript.pyannote[296].start 3727.07721875
transcript.pyannote[296].end 3736.91534375
transcript.pyannote[297].speaker SPEAKER_29
transcript.pyannote[297].start 3737.43846875
transcript.pyannote[297].end 3742.19721875
transcript.pyannote[298].speaker SPEAKER_29
transcript.pyannote[298].start 3742.93971875
transcript.pyannote[298].end 3751.83284375
transcript.pyannote[299].speaker SPEAKER_29
transcript.pyannote[299].start 3754.53284375
transcript.pyannote[299].end 3755.41034375
transcript.pyannote[300].speaker SPEAKER_29
transcript.pyannote[300].start 3755.81534375
transcript.pyannote[300].end 3757.65471875
transcript.pyannote[301].speaker SPEAKER_29
transcript.pyannote[301].start 3758.29596875
transcript.pyannote[301].end 3759.27471875
transcript.pyannote[302].speaker SPEAKER_29
transcript.pyannote[302].start 3759.47721875
transcript.pyannote[302].end 3763.34159375
transcript.pyannote[303].speaker SPEAKER_29
transcript.pyannote[303].start 3764.10096875
transcript.pyannote[303].end 3772.15034375
transcript.pyannote[304].speaker SPEAKER_29
transcript.pyannote[304].start 3772.79159375
transcript.pyannote[304].end 3776.03159375
transcript.pyannote[305].speaker SPEAKER_29
transcript.pyannote[305].start 3776.47034375
transcript.pyannote[305].end 3786.93284375
transcript.pyannote[306].speaker SPEAKER_29
transcript.pyannote[306].start 3787.28721875
transcript.pyannote[306].end 3789.27846875
transcript.pyannote[307].speaker SPEAKER_29
transcript.pyannote[307].start 3789.49784375
transcript.pyannote[307].end 3793.58159375
transcript.pyannote[308].speaker SPEAKER_29
transcript.pyannote[308].start 3794.45909375
transcript.pyannote[308].end 3799.53846875
transcript.pyannote[309].speaker SPEAKER_29
transcript.pyannote[309].start 3800.17971875
transcript.pyannote[309].end 3808.81971875
transcript.pyannote[310].speaker SPEAKER_29
transcript.pyannote[310].start 3809.34284375
transcript.pyannote[310].end 3814.54034375
transcript.pyannote[311].speaker SPEAKER_29
transcript.pyannote[311].start 3815.08034375
transcript.pyannote[311].end 3823.58534375
transcript.pyannote[312].speaker SPEAKER_29
transcript.pyannote[312].start 3823.99034375
transcript.pyannote[312].end 3825.81284375
transcript.pyannote[313].speaker SPEAKER_29
transcript.pyannote[313].start 3826.30221875
transcript.pyannote[313].end 3828.79971875
transcript.pyannote[314].speaker SPEAKER_29
transcript.pyannote[314].start 3829.23846875
transcript.pyannote[314].end 3830.58846875
transcript.pyannote[315].speaker SPEAKER_29
transcript.pyannote[315].start 3833.94659375
transcript.pyannote[315].end 3837.35534375
transcript.pyannote[316].speaker SPEAKER_29
transcript.pyannote[316].start 3837.76034375
transcript.pyannote[316].end 3844.12221875
transcript.pyannote[317].speaker SPEAKER_29
transcript.pyannote[317].start 3844.98284375
transcript.pyannote[317].end 3850.06221875
transcript.pyannote[318].speaker SPEAKER_29
transcript.pyannote[318].start 3850.39971875
transcript.pyannote[318].end 3857.33534375
transcript.pyannote[319].speaker SPEAKER_29
transcript.pyannote[319].start 3858.14534375
transcript.pyannote[319].end 3873.26534375
transcript.pyannote[320].speaker SPEAKER_29
transcript.pyannote[320].start 3873.97409375
transcript.pyannote[320].end 3874.31159375
transcript.pyannote[321].speaker SPEAKER_07
transcript.pyannote[321].start 3874.96971875
transcript.pyannote[321].end 3876.85971875
transcript.pyannote[322].speaker SPEAKER_07
transcript.pyannote[322].start 3881.28096875
transcript.pyannote[322].end 3884.18346875
transcript.pyannote[323].speaker SPEAKER_07
transcript.pyannote[323].start 3884.62221875
transcript.pyannote[323].end 3889.73534375
transcript.pyannote[324].speaker SPEAKER_07
transcript.pyannote[324].start 3890.17409375
transcript.pyannote[324].end 3893.48159375
transcript.pyannote[325].speaker SPEAKER_07
transcript.pyannote[325].start 3894.07221875
transcript.pyannote[325].end 3899.33721875
transcript.pyannote[326].speaker SPEAKER_07
transcript.pyannote[326].start 3899.96159375
transcript.pyannote[326].end 3902.62784375
transcript.pyannote[327].speaker SPEAKER_07
transcript.pyannote[327].start 3903.15096875
transcript.pyannote[327].end 3908.23034375
transcript.pyannote[328].speaker SPEAKER_07
transcript.pyannote[328].start 3908.63534375
transcript.pyannote[328].end 3911.50409375
transcript.pyannote[329].speaker SPEAKER_23
transcript.pyannote[329].start 3920.34659375
transcript.pyannote[329].end 3921.27471875
transcript.pyannote[330].speaker SPEAKER_23
transcript.pyannote[330].start 3921.40971875
transcript.pyannote[330].end 3928.59846875
transcript.pyannote[331].speaker SPEAKER_07
transcript.pyannote[331].start 3928.59846875
transcript.pyannote[331].end 3928.64909375
transcript.pyannote[332].speaker SPEAKER_23
transcript.pyannote[332].start 3928.64909375
transcript.pyannote[332].end 3931.16346875
transcript.pyannote[333].speaker SPEAKER_07
transcript.pyannote[333].start 3928.68284375
transcript.pyannote[333].end 3929.57721875
transcript.pyannote[334].speaker SPEAKER_07
transcript.pyannote[334].start 3931.66971875
transcript.pyannote[334].end 3936.54659375
transcript.pyannote[335].speaker SPEAKER_23
transcript.pyannote[335].start 3937.96409375
transcript.pyannote[335].end 3949.38846875
transcript.pyannote[336].speaker SPEAKER_46
transcript.pyannote[336].start 3940.56284375
transcript.pyannote[336].end 3940.84971875
transcript.pyannote[337].speaker SPEAKER_23
transcript.pyannote[337].start 3949.40534375
transcript.pyannote[337].end 3958.78784375
transcript.pyannote[338].speaker SPEAKER_23
transcript.pyannote[338].start 3959.22659375
transcript.pyannote[338].end 3973.03034375
transcript.pyannote[339].speaker SPEAKER_23
transcript.pyannote[339].start 3973.72221875
transcript.pyannote[339].end 3975.81471875
transcript.pyannote[340].speaker SPEAKER_29
transcript.pyannote[340].start 3973.78971875
transcript.pyannote[340].end 3974.32971875
transcript.pyannote[341].speaker SPEAKER_29
transcript.pyannote[341].start 3976.33784375
transcript.pyannote[341].end 3988.84221875
transcript.pyannote[342].speaker SPEAKER_29
transcript.pyannote[342].start 3988.97721875
transcript.pyannote[342].end 3990.86721875
transcript.pyannote[343].speaker SPEAKER_23
transcript.pyannote[343].start 3990.14159375
transcript.pyannote[343].end 3991.81221875
transcript.pyannote[344].speaker SPEAKER_23
transcript.pyannote[344].start 3992.35221875
transcript.pyannote[344].end 3994.46159375
transcript.pyannote[345].speaker SPEAKER_23
transcript.pyannote[345].start 3994.64721875
transcript.pyannote[345].end 4001.78534375
transcript.pyannote[346].speaker SPEAKER_23
transcript.pyannote[346].start 4002.22409375
transcript.pyannote[346].end 4006.94909375
transcript.pyannote[347].speaker SPEAKER_46
transcript.pyannote[347].start 4006.89846875
transcript.pyannote[347].end 4006.91534375
transcript.pyannote[348].speaker SPEAKER_46
transcript.pyannote[348].start 4006.94909375
transcript.pyannote[348].end 4007.33721875
transcript.pyannote[349].speaker SPEAKER_23
transcript.pyannote[349].start 4007.15159375
transcript.pyannote[349].end 4014.00284375
transcript.pyannote[350].speaker SPEAKER_23
transcript.pyannote[350].start 4014.96471875
transcript.pyannote[350].end 4021.47846875
transcript.pyannote[351].speaker SPEAKER_23
transcript.pyannote[351].start 4022.00159375
transcript.pyannote[351].end 4029.05534375
transcript.pyannote[352].speaker SPEAKER_23
transcript.pyannote[352].start 4029.40971875
transcript.pyannote[352].end 4030.60784375
transcript.pyannote[353].speaker SPEAKER_23
transcript.pyannote[353].start 4031.19846875
transcript.pyannote[353].end 4032.43034375
transcript.pyannote[354].speaker SPEAKER_30
transcript.pyannote[354].start 4033.34159375
transcript.pyannote[354].end 4048.74846875
transcript.pyannote[355].speaker SPEAKER_23
transcript.pyannote[355].start 4048.74846875
transcript.pyannote[355].end 4051.36409375
transcript.pyannote[356].speaker SPEAKER_30
transcript.pyannote[356].start 4048.78221875
transcript.pyannote[356].end 4049.60909375
transcript.pyannote[357].speaker SPEAKER_23
transcript.pyannote[357].start 4051.60034375
transcript.pyannote[357].end 4066.51784375
transcript.pyannote[358].speaker SPEAKER_23
transcript.pyannote[358].start 4066.90596875
transcript.pyannote[358].end 4076.76096875
transcript.pyannote[359].speaker SPEAKER_23
transcript.pyannote[359].start 4077.23346875
transcript.pyannote[359].end 4077.60471875
transcript.pyannote[360].speaker SPEAKER_23
transcript.pyannote[360].start 4078.33034375
transcript.pyannote[360].end 4083.02159375
transcript.pyannote[361].speaker SPEAKER_23
transcript.pyannote[361].start 4083.51096875
transcript.pyannote[361].end 4090.75034375
transcript.pyannote[362].speaker SPEAKER_46
transcript.pyannote[362].start 4090.75034375
transcript.pyannote[362].end 4090.90221875
transcript.pyannote[363].speaker SPEAKER_23
transcript.pyannote[363].start 4090.90221875
transcript.pyannote[363].end 4095.86346875
transcript.pyannote[364].speaker SPEAKER_23
transcript.pyannote[364].start 4096.74096875
transcript.pyannote[364].end 4098.12471875
transcript.pyannote[365].speaker SPEAKER_23
transcript.pyannote[365].start 4098.83346875
transcript.pyannote[365].end 4100.08221875
transcript.pyannote[366].speaker SPEAKER_23
transcript.pyannote[366].start 4101.07784375
transcript.pyannote[366].end 4105.06034375
transcript.pyannote[367].speaker SPEAKER_30
transcript.pyannote[367].start 4105.09409375
transcript.pyannote[367].end 4105.61721875
transcript.pyannote[368].speaker SPEAKER_23
transcript.pyannote[368].start 4105.61721875
transcript.pyannote[368].end 4107.38909375
transcript.pyannote[369].speaker SPEAKER_23
transcript.pyannote[369].start 4108.08096875
transcript.pyannote[369].end 4109.11034375
transcript.pyannote[370].speaker SPEAKER_23
transcript.pyannote[370].start 4110.35909375
transcript.pyannote[370].end 4111.23659375
transcript.pyannote[371].speaker SPEAKER_23
transcript.pyannote[371].start 4111.91159375
transcript.pyannote[371].end 4113.70034375
transcript.pyannote[372].speaker SPEAKER_23
transcript.pyannote[372].start 4114.71284375
transcript.pyannote[372].end 4115.30346875
transcript.pyannote[373].speaker SPEAKER_23
transcript.pyannote[373].start 4115.87721875
transcript.pyannote[373].end 4117.32846875
transcript.pyannote[374].speaker SPEAKER_23
transcript.pyannote[374].start 4117.68284375
transcript.pyannote[374].end 4124.02784375
transcript.pyannote[375].speaker SPEAKER_23
transcript.pyannote[375].start 4124.50034375
transcript.pyannote[375].end 4125.17534375
transcript.pyannote[376].speaker SPEAKER_23
transcript.pyannote[376].start 4125.44534375
transcript.pyannote[376].end 4129.02284375
transcript.pyannote[377].speaker SPEAKER_23
transcript.pyannote[377].start 4129.64721875
transcript.pyannote[377].end 4132.85346875
transcript.pyannote[378].speaker SPEAKER_23
transcript.pyannote[378].start 4133.96721875
transcript.pyannote[378].end 4135.31721875
transcript.pyannote[379].speaker SPEAKER_23
transcript.pyannote[379].start 4136.12721875
transcript.pyannote[379].end 4140.53159375
transcript.pyannote[380].speaker SPEAKER_23
transcript.pyannote[380].start 4141.34159375
transcript.pyannote[380].end 4143.51846875
transcript.pyannote[381].speaker SPEAKER_30
transcript.pyannote[381].start 4143.88971875
transcript.pyannote[381].end 4144.19346875
transcript.pyannote[382].speaker SPEAKER_23
transcript.pyannote[382].start 4144.39596875
transcript.pyannote[382].end 4148.24346875
transcript.pyannote[383].speaker SPEAKER_30
transcript.pyannote[383].start 4148.74971875
transcript.pyannote[383].end 4156.96784375
transcript.pyannote[384].speaker SPEAKER_23
transcript.pyannote[384].start 4156.96784375
transcript.pyannote[384].end 4159.56659375
transcript.pyannote[385].speaker SPEAKER_23
transcript.pyannote[385].start 4160.22471875
transcript.pyannote[385].end 4161.05159375
transcript.pyannote[386].speaker SPEAKER_23
transcript.pyannote[386].start 4161.37221875
transcript.pyannote[386].end 4165.42221875
transcript.pyannote[387].speaker SPEAKER_23
transcript.pyannote[387].start 4165.84409375
transcript.pyannote[387].end 4167.66659375
transcript.pyannote[388].speaker SPEAKER_23
transcript.pyannote[388].start 4167.85221875
transcript.pyannote[388].end 4171.09221875
transcript.pyannote[389].speaker SPEAKER_23
transcript.pyannote[389].start 4171.34534375
transcript.pyannote[389].end 4175.14221875
transcript.pyannote[390].speaker SPEAKER_23
transcript.pyannote[390].start 4175.51346875
transcript.pyannote[390].end 4177.23471875
transcript.pyannote[391].speaker SPEAKER_29
transcript.pyannote[391].start 4177.99409375
transcript.pyannote[391].end 4192.08471875
transcript.pyannote[392].speaker SPEAKER_29
transcript.pyannote[392].start 4192.28721875
transcript.pyannote[392].end 4218.44346875
transcript.pyannote[393].speaker SPEAKER_00
transcript.pyannote[393].start 4198.21034375
transcript.pyannote[393].end 4198.58159375
transcript.pyannote[394].speaker SPEAKER_23
transcript.pyannote[394].start 4214.14034375
transcript.pyannote[394].end 4214.59596875
transcript.pyannote[395].speaker SPEAKER_23
transcript.pyannote[395].start 4214.84909375
transcript.pyannote[395].end 4218.49409375
transcript.pyannote[396].speaker SPEAKER_46
transcript.pyannote[396].start 4218.44346875
transcript.pyannote[396].end 4218.46034375
transcript.pyannote[397].speaker SPEAKER_23
transcript.pyannote[397].start 4219.00034375
transcript.pyannote[397].end 4225.05846875
transcript.pyannote[398].speaker SPEAKER_46
transcript.pyannote[398].start 4225.05846875
transcript.pyannote[398].end 4225.64909375
transcript.pyannote[399].speaker SPEAKER_23
transcript.pyannote[399].start 4225.32846875
transcript.pyannote[399].end 4243.58721875
transcript.pyannote[400].speaker SPEAKER_29
transcript.pyannote[400].start 4243.58721875
transcript.pyannote[400].end 4245.05534375
transcript.pyannote[401].speaker SPEAKER_23
transcript.pyannote[401].start 4244.07659375
transcript.pyannote[401].end 4244.51534375
transcript.pyannote[402].speaker SPEAKER_23
transcript.pyannote[402].start 4244.83596875
transcript.pyannote[402].end 4249.89846875
transcript.pyannote[403].speaker SPEAKER_23
transcript.pyannote[403].start 4250.32034375
transcript.pyannote[403].end 4250.64096875
transcript.pyannote[404].speaker SPEAKER_23
transcript.pyannote[404].start 4251.92346875
transcript.pyannote[404].end 4251.94034375
transcript.pyannote[405].speaker SPEAKER_16
transcript.pyannote[405].start 4251.94034375
transcript.pyannote[405].end 4252.71659375
transcript.pyannote[406].speaker SPEAKER_23
transcript.pyannote[406].start 4252.19346875
transcript.pyannote[406].end 4254.91034375
transcript.pyannote[407].speaker SPEAKER_16
transcript.pyannote[407].start 4255.31534375
transcript.pyannote[407].end 4261.28909375
transcript.pyannote[408].speaker SPEAKER_16
transcript.pyannote[408].start 4261.52534375
transcript.pyannote[408].end 4263.44909375
transcript.pyannote[409].speaker SPEAKER_16
transcript.pyannote[409].start 4264.25909375
transcript.pyannote[409].end 4265.01846875
transcript.pyannote[410].speaker SPEAKER_16
transcript.pyannote[410].start 4265.64284375
transcript.pyannote[410].end 4269.69284375
transcript.pyannote[411].speaker SPEAKER_16
transcript.pyannote[411].start 4269.72659375
transcript.pyannote[411].end 4271.12721875
transcript.pyannote[412].speaker SPEAKER_16
transcript.pyannote[412].start 4271.49846875
transcript.pyannote[412].end 4273.79346875
transcript.pyannote[413].speaker SPEAKER_16
transcript.pyannote[413].start 4274.41784375
transcript.pyannote[413].end 4280.08784375
transcript.pyannote[414].speaker SPEAKER_23
transcript.pyannote[414].start 4278.97409375
transcript.pyannote[414].end 4280.07096875
transcript.pyannote[415].speaker SPEAKER_23
transcript.pyannote[415].start 4280.08784375
transcript.pyannote[415].end 4287.32721875
transcript.pyannote[416].speaker SPEAKER_16
transcript.pyannote[416].start 4280.98221875
transcript.pyannote[416].end 4282.23096875
transcript.pyannote[417].speaker SPEAKER_16
transcript.pyannote[417].start 4288.06971875
transcript.pyannote[417].end 4292.17034375
transcript.pyannote[418].speaker SPEAKER_23
transcript.pyannote[418].start 4291.73159375
transcript.pyannote[418].end 4315.69409375
transcript.pyannote[419].speaker SPEAKER_23
transcript.pyannote[419].start 4315.86284375
transcript.pyannote[419].end 4316.21721875
transcript.pyannote[420].speaker SPEAKER_23
transcript.pyannote[420].start 4316.82471875
transcript.pyannote[420].end 4320.99284375
transcript.pyannote[421].speaker SPEAKER_23
transcript.pyannote[421].start 4321.39784375
transcript.pyannote[421].end 4323.32159375
transcript.pyannote[422].speaker SPEAKER_23
transcript.pyannote[422].start 4323.54096875
transcript.pyannote[422].end 4325.12721875
transcript.pyannote[423].speaker SPEAKER_23
transcript.pyannote[423].start 4325.61659375
transcript.pyannote[423].end 4330.07159375
transcript.pyannote[424].speaker SPEAKER_23
transcript.pyannote[424].start 4330.27409375
transcript.pyannote[424].end 4331.87721875
transcript.pyannote[425].speaker SPEAKER_23
transcript.pyannote[425].start 4332.43409375
transcript.pyannote[425].end 4341.20909375
transcript.pyannote[426].speaker SPEAKER_23
transcript.pyannote[426].start 4341.56346875
transcript.pyannote[426].end 4341.90096875
transcript.pyannote[427].speaker SPEAKER_23
transcript.pyannote[427].start 4342.57596875
transcript.pyannote[427].end 4343.53784375
transcript.pyannote[428].speaker SPEAKER_23
transcript.pyannote[428].start 4344.06096875
transcript.pyannote[428].end 4344.73596875
transcript.pyannote[429].speaker SPEAKER_23
transcript.pyannote[429].start 4345.83284375
transcript.pyannote[429].end 4349.22471875
transcript.pyannote[430].speaker SPEAKER_23
transcript.pyannote[430].start 4349.79846875
transcript.pyannote[430].end 4350.72659375
transcript.pyannote[431].speaker SPEAKER_23
transcript.pyannote[431].start 4351.30034375
transcript.pyannote[431].end 4352.75159375
transcript.pyannote[432].speaker SPEAKER_23
transcript.pyannote[432].start 4353.46034375
transcript.pyannote[432].end 4354.06784375
transcript.pyannote[433].speaker SPEAKER_23
transcript.pyannote[433].start 4355.02971875
transcript.pyannote[433].end 4359.18096875
transcript.pyannote[434].speaker SPEAKER_23
transcript.pyannote[434].start 4359.51846875
transcript.pyannote[434].end 4362.21846875
transcript.pyannote[435].speaker SPEAKER_23
transcript.pyannote[435].start 4362.69096875
transcript.pyannote[435].end 4369.64346875
transcript.pyannote[436].speaker SPEAKER_23
transcript.pyannote[436].start 4369.82909375
transcript.pyannote[436].end 4370.21721875
transcript.pyannote[437].speaker SPEAKER_23
transcript.pyannote[437].start 4371.41534375
transcript.pyannote[437].end 4377.91221875
transcript.pyannote[438].speaker SPEAKER_46
transcript.pyannote[438].start 4376.27534375
transcript.pyannote[438].end 4376.69721875
transcript.pyannote[439].speaker SPEAKER_23
transcript.pyannote[439].start 4377.96284375
transcript.pyannote[439].end 4378.63784375
transcript.pyannote[440].speaker SPEAKER_23
transcript.pyannote[440].start 4378.72221875
transcript.pyannote[440].end 4380.57846875
transcript.pyannote[441].speaker SPEAKER_46
transcript.pyannote[441].start 4380.57846875
transcript.pyannote[441].end 4381.03409375
transcript.pyannote[442].speaker SPEAKER_23
transcript.pyannote[442].start 4380.96659375
transcript.pyannote[442].end 4391.69909375
transcript.pyannote[443].speaker SPEAKER_43
transcript.pyannote[443].start 4391.69909375
transcript.pyannote[443].end 4391.96909375
transcript.pyannote[444].speaker SPEAKER_23
transcript.pyannote[444].start 4391.96909375
transcript.pyannote[444].end 4399.84971875
transcript.pyannote[445].speaker SPEAKER_23
transcript.pyannote[445].start 4400.33909375
transcript.pyannote[445].end 4404.65909375
transcript.pyannote[446].speaker SPEAKER_29
transcript.pyannote[446].start 4404.23721875
transcript.pyannote[446].end 4404.87846875
transcript.pyannote[447].speaker SPEAKER_23
transcript.pyannote[447].start 4404.87846875
transcript.pyannote[447].end 4404.96284375
transcript.pyannote[448].speaker SPEAKER_29
transcript.pyannote[448].start 4404.96284375
transcript.pyannote[448].end 4405.03034375
transcript.pyannote[449].speaker SPEAKER_23
transcript.pyannote[449].start 4405.03034375
transcript.pyannote[449].end 4408.60784375
transcript.pyannote[450].speaker SPEAKER_23
transcript.pyannote[450].start 4409.90721875
transcript.pyannote[450].end 4418.24346875
transcript.pyannote[451].speaker SPEAKER_23
transcript.pyannote[451].start 4419.17159375
transcript.pyannote[451].end 4423.94721875
transcript.pyannote[452].speaker SPEAKER_23
transcript.pyannote[452].start 4424.63909375
transcript.pyannote[452].end 4429.83659375
transcript.pyannote[453].speaker SPEAKER_23
transcript.pyannote[453].start 4430.34284375
transcript.pyannote[453].end 4432.36784375
transcript.pyannote[454].speaker SPEAKER_23
transcript.pyannote[454].start 4432.50284375
transcript.pyannote[454].end 4439.21909375
transcript.pyannote[455].speaker SPEAKER_23
transcript.pyannote[455].start 4439.25284375
transcript.pyannote[455].end 4448.17971875
transcript.pyannote[456].speaker SPEAKER_23
transcript.pyannote[456].start 4448.61846875
transcript.pyannote[456].end 4449.19221875
transcript.pyannote[457].speaker SPEAKER_23
transcript.pyannote[457].start 4449.90096875
transcript.pyannote[457].end 4462.84409375
transcript.pyannote[458].speaker SPEAKER_23
transcript.pyannote[458].start 4463.09721875
transcript.pyannote[458].end 4464.14346875
transcript.pyannote[459].speaker SPEAKER_23
transcript.pyannote[459].start 4464.34596875
transcript.pyannote[459].end 4465.51034375
transcript.pyannote[460].speaker SPEAKER_46
transcript.pyannote[460].start 4465.51034375
transcript.pyannote[460].end 4465.81409375
transcript.pyannote[461].speaker SPEAKER_23
transcript.pyannote[461].start 4465.78034375
transcript.pyannote[461].end 4468.59846875
transcript.pyannote[462].speaker SPEAKER_23
transcript.pyannote[462].start 4468.88534375
transcript.pyannote[462].end 4471.93971875
transcript.pyannote[463].speaker SPEAKER_46
transcript.pyannote[463].start 4471.93971875
transcript.pyannote[463].end 4472.41221875
transcript.pyannote[464].speaker SPEAKER_23
transcript.pyannote[464].start 4472.56409375
transcript.pyannote[464].end 4484.14034375
transcript.pyannote[465].speaker SPEAKER_23
transcript.pyannote[465].start 4484.95034375
transcript.pyannote[465].end 4485.54096875
transcript.pyannote[466].speaker SPEAKER_23
transcript.pyannote[466].start 4486.23284375
transcript.pyannote[466].end 4488.78096875
transcript.pyannote[467].speaker SPEAKER_23
transcript.pyannote[467].start 4489.38846875
transcript.pyannote[467].end 4489.82721875
transcript.pyannote[468].speaker SPEAKER_23
transcript.pyannote[468].start 4490.56971875
transcript.pyannote[468].end 4491.39659375
transcript.pyannote[469].speaker SPEAKER_23
transcript.pyannote[469].start 4491.76784375
transcript.pyannote[469].end 4494.68721875
transcript.pyannote[470].speaker SPEAKER_23
transcript.pyannote[470].start 4495.02471875
transcript.pyannote[470].end 4503.29346875
transcript.pyannote[471].speaker SPEAKER_23
transcript.pyannote[471].start 4505.25096875
transcript.pyannote[471].end 4505.89221875
transcript.pyannote[472].speaker SPEAKER_16
transcript.pyannote[472].start 4506.09471875
transcript.pyannote[472].end 4506.43221875
transcript.pyannote[473].speaker SPEAKER_16
transcript.pyannote[473].start 4507.51221875
transcript.pyannote[473].end 4507.93409375
transcript.pyannote[474].speaker SPEAKER_16
transcript.pyannote[474].start 4510.78596875
transcript.pyannote[474].end 4515.03846875
transcript.pyannote[475].speaker SPEAKER_16
transcript.pyannote[475].start 4515.37596875
transcript.pyannote[475].end 4519.03784375
transcript.pyannote[476].speaker SPEAKER_23
transcript.pyannote[476].start 4519.03784375
transcript.pyannote[476].end 4520.13471875
transcript.pyannote[477].speaker SPEAKER_23
transcript.pyannote[477].start 4520.67471875
transcript.pyannote[477].end 4522.10909375
transcript.pyannote[478].speaker SPEAKER_23
transcript.pyannote[478].start 4522.46346875
transcript.pyannote[478].end 4531.89659375
transcript.pyannote[479].speaker SPEAKER_46
transcript.pyannote[479].start 4532.09909375
transcript.pyannote[479].end 4532.52096875
transcript.pyannote[480].speaker SPEAKER_23
transcript.pyannote[480].start 4532.26784375
transcript.pyannote[480].end 4540.87409375
transcript.pyannote[481].speaker SPEAKER_46
transcript.pyannote[481].start 4541.04284375
transcript.pyannote[481].end 4541.32971875
transcript.pyannote[482].speaker SPEAKER_23
transcript.pyannote[482].start 4541.32971875
transcript.pyannote[482].end 4544.43471875
transcript.pyannote[483].speaker SPEAKER_23
transcript.pyannote[483].start 4545.05909375
transcript.pyannote[483].end 4548.11346875
transcript.pyannote[484].speaker SPEAKER_43
transcript.pyannote[484].start 4548.11346875
transcript.pyannote[484].end 4548.36659375
transcript.pyannote[485].speaker SPEAKER_23
transcript.pyannote[485].start 4548.36659375
transcript.pyannote[485].end 4552.78784375
transcript.pyannote[486].speaker SPEAKER_23
transcript.pyannote[486].start 4553.61471875
transcript.pyannote[486].end 4557.66471875
transcript.pyannote[487].speaker SPEAKER_23
transcript.pyannote[487].start 4558.50846875
transcript.pyannote[487].end 4559.30159375
transcript.pyannote[488].speaker SPEAKER_23
transcript.pyannote[488].start 4559.89221875
transcript.pyannote[488].end 4560.83721875
transcript.pyannote[489].speaker SPEAKER_23
transcript.pyannote[489].start 4561.19159375
transcript.pyannote[489].end 4562.71034375
transcript.pyannote[490].speaker SPEAKER_39
transcript.pyannote[490].start 4563.41909375
transcript.pyannote[490].end 4564.19534375
transcript.pyannote[491].speaker SPEAKER_23
transcript.pyannote[491].start 4563.87471875
transcript.pyannote[491].end 4565.57909375
transcript.pyannote[492].speaker SPEAKER_23
transcript.pyannote[492].start 4565.76471875
transcript.pyannote[492].end 4567.50284375
transcript.pyannote[493].speaker SPEAKER_23
transcript.pyannote[493].start 4567.78971875
transcript.pyannote[493].end 4577.37471875
transcript.pyannote[494].speaker SPEAKER_46
transcript.pyannote[494].start 4577.34096875
transcript.pyannote[494].end 4577.66159375
transcript.pyannote[495].speaker SPEAKER_23
transcript.pyannote[495].start 4577.66159375
transcript.pyannote[495].end 4585.81221875
transcript.pyannote[496].speaker SPEAKER_29
transcript.pyannote[496].start 4585.50846875
transcript.pyannote[496].end 4586.38596875
transcript.pyannote[497].speaker SPEAKER_23
transcript.pyannote[497].start 4586.38596875
transcript.pyannote[497].end 4593.00096875
transcript.pyannote[498].speaker SPEAKER_29
transcript.pyannote[498].start 4587.65159375
transcript.pyannote[498].end 4587.76971875
transcript.pyannote[499].speaker SPEAKER_46
transcript.pyannote[499].start 4593.05159375
transcript.pyannote[499].end 4593.52409375
transcript.pyannote[500].speaker SPEAKER_23
transcript.pyannote[500].start 4593.52409375
transcript.pyannote[500].end 4599.46409375
transcript.pyannote[501].speaker SPEAKER_46
transcript.pyannote[501].start 4598.67096875
transcript.pyannote[501].end 4599.39659375
transcript.pyannote[502].speaker SPEAKER_39
transcript.pyannote[502].start 4599.39659375
transcript.pyannote[502].end 4599.83534375
transcript.pyannote[503].speaker SPEAKER_23
transcript.pyannote[503].start 4599.68346875
transcript.pyannote[503].end 4603.58159375
transcript.pyannote[504].speaker SPEAKER_23
transcript.pyannote[504].start 4604.03721875
transcript.pyannote[504].end 4606.97346875
transcript.pyannote[505].speaker SPEAKER_29
transcript.pyannote[505].start 4606.97346875
transcript.pyannote[505].end 4607.20971875
transcript.pyannote[506].speaker SPEAKER_23
transcript.pyannote[506].start 4607.20971875
transcript.pyannote[506].end 4608.79596875
transcript.pyannote[507].speaker SPEAKER_29
transcript.pyannote[507].start 4607.59784375
transcript.pyannote[507].end 4609.21784375
transcript.pyannote[508].speaker SPEAKER_29
transcript.pyannote[508].start 4609.70721875
transcript.pyannote[508].end 4613.41971875
transcript.pyannote[509].speaker SPEAKER_23
transcript.pyannote[509].start 4611.41159375
transcript.pyannote[509].end 4614.93846875
transcript.pyannote[510].speaker SPEAKER_29
transcript.pyannote[510].start 4617.52034375
transcript.pyannote[510].end 4621.68846875
transcript.pyannote[511].speaker SPEAKER_23
transcript.pyannote[511].start 4621.68846875
transcript.pyannote[511].end 4637.51721875
transcript.pyannote[512].speaker SPEAKER_29
transcript.pyannote[512].start 4625.46846875
transcript.pyannote[512].end 4625.67096875
transcript.pyannote[513].speaker SPEAKER_23
transcript.pyannote[513].start 4638.44534375
transcript.pyannote[513].end 4644.43596875
transcript.pyannote[514].speaker SPEAKER_46
transcript.pyannote[514].start 4644.63846875
transcript.pyannote[514].end 4644.70596875
transcript.pyannote[515].speaker SPEAKER_23
transcript.pyannote[515].start 4644.70596875
transcript.pyannote[515].end 4648.70534375
transcript.pyannote[516].speaker SPEAKER_49
transcript.pyannote[516].start 4644.90846875
transcript.pyannote[516].end 4644.94221875
transcript.pyannote[517].speaker SPEAKER_07
transcript.pyannote[517].start 4649.71784375
transcript.pyannote[517].end 4651.30409375
transcript.pyannote[518].speaker SPEAKER_07
transcript.pyannote[518].start 4655.94471875
transcript.pyannote[518].end 4658.54346875
transcript.pyannote[519].speaker SPEAKER_07
transcript.pyannote[519].start 4660.72034375
transcript.pyannote[519].end 4661.85096875
transcript.pyannote[520].speaker SPEAKER_19
transcript.pyannote[520].start 4670.89596875
transcript.pyannote[520].end 4672.02659375
transcript.pyannote[521].speaker SPEAKER_19
transcript.pyannote[521].start 4672.43159375
transcript.pyannote[521].end 4675.70534375
transcript.pyannote[522].speaker SPEAKER_46
transcript.pyannote[522].start 4674.87846875
transcript.pyannote[522].end 4675.68846875
transcript.pyannote[523].speaker SPEAKER_19
transcript.pyannote[523].start 4676.09346875
transcript.pyannote[523].end 4679.08034375
transcript.pyannote[524].speaker SPEAKER_19
transcript.pyannote[524].start 4690.33596875
transcript.pyannote[524].end 4691.23034375
transcript.pyannote[525].speaker SPEAKER_39
transcript.pyannote[525].start 4691.23034375
transcript.pyannote[525].end 4691.68596875
transcript.pyannote[526].speaker SPEAKER_19
transcript.pyannote[526].start 4691.68596875
transcript.pyannote[526].end 4697.82846875
transcript.pyannote[527].speaker SPEAKER_19
transcript.pyannote[527].start 4698.23346875
transcript.pyannote[527].end 4726.95471875
transcript.pyannote[528].speaker SPEAKER_29
transcript.pyannote[528].start 4726.95471875
transcript.pyannote[528].end 4781.49471875
transcript.pyannote[529].speaker SPEAKER_19
transcript.pyannote[529].start 4782.05159375
transcript.pyannote[529].end 4789.71284375
transcript.pyannote[530].speaker SPEAKER_29
transcript.pyannote[530].start 4789.91534375
transcript.pyannote[530].end 4804.10721875
transcript.pyannote[531].speaker SPEAKER_19
transcript.pyannote[531].start 4803.58409375
transcript.pyannote[531].end 4825.43721875
transcript.pyannote[532].speaker SPEAKER_29
transcript.pyannote[532].start 4825.47096875
transcript.pyannote[532].end 4830.53346875
transcript.pyannote[533].speaker SPEAKER_29
transcript.pyannote[533].start 4831.83284375
transcript.pyannote[533].end 4832.81159375
transcript.pyannote[534].speaker SPEAKER_19
transcript.pyannote[534].start 4833.14909375
transcript.pyannote[534].end 4837.19909375
transcript.pyannote[535].speaker SPEAKER_29
transcript.pyannote[535].start 4833.23346875
transcript.pyannote[535].end 4834.02659375
transcript.pyannote[536].speaker SPEAKER_19
transcript.pyannote[536].start 4837.68846875
transcript.pyannote[536].end 4863.33846875
transcript.pyannote[537].speaker SPEAKER_46
transcript.pyannote[537].start 4842.59909375
transcript.pyannote[537].end 4842.83534375
transcript.pyannote[538].speaker SPEAKER_46
transcript.pyannote[538].start 4846.42971875
transcript.pyannote[538].end 4846.78409375
transcript.pyannote[539].speaker SPEAKER_29
transcript.pyannote[539].start 4858.76534375
transcript.pyannote[539].end 4860.31784375
transcript.pyannote[540].speaker SPEAKER_29
transcript.pyannote[540].start 4863.52409375
transcript.pyannote[540].end 4892.36346875
transcript.pyannote[541].speaker SPEAKER_48
transcript.pyannote[541].start 4892.59971875
transcript.pyannote[541].end 4921.42221875
transcript.pyannote[542].speaker SPEAKER_19
transcript.pyannote[542].start 4914.99284375
transcript.pyannote[542].end 4915.24596875
transcript.pyannote[543].speaker SPEAKER_19
transcript.pyannote[543].start 4920.24096875
transcript.pyannote[543].end 4935.71534375
transcript.pyannote[544].speaker SPEAKER_46
transcript.pyannote[544].start 4935.71534375
transcript.pyannote[544].end 4936.06971875
transcript.pyannote[545].speaker SPEAKER_19
transcript.pyannote[545].start 4936.06971875
transcript.pyannote[545].end 4940.40659375
transcript.pyannote[546].speaker SPEAKER_19
transcript.pyannote[546].start 4940.92971875
transcript.pyannote[546].end 4948.20284375
transcript.pyannote[547].speaker SPEAKER_46
transcript.pyannote[547].start 4944.77721875
transcript.pyannote[547].end 4945.90784375
transcript.pyannote[548].speaker SPEAKER_46
transcript.pyannote[548].start 4948.13534375
transcript.pyannote[548].end 4948.52346875
transcript.pyannote[549].speaker SPEAKER_19
transcript.pyannote[549].start 4948.45596875
transcript.pyannote[549].end 4959.17159375
transcript.pyannote[550].speaker SPEAKER_29
transcript.pyannote[550].start 4959.91409375
transcript.pyannote[550].end 4960.67346875
transcript.pyannote[551].speaker SPEAKER_29
transcript.pyannote[551].start 4960.99409375
transcript.pyannote[551].end 4961.31471875
transcript.pyannote[552].speaker SPEAKER_29
transcript.pyannote[552].start 4961.90534375
transcript.pyannote[552].end 4964.95971875
transcript.pyannote[553].speaker SPEAKER_19
transcript.pyannote[553].start 4964.08221875
transcript.pyannote[553].end 4965.51659375
transcript.pyannote[554].speaker SPEAKER_29
transcript.pyannote[554].start 4965.21284375
transcript.pyannote[554].end 4965.22971875
transcript.pyannote[555].speaker SPEAKER_29
transcript.pyannote[555].start 4965.51659375
transcript.pyannote[555].end 4965.82034375
transcript.pyannote[556].speaker SPEAKER_19
transcript.pyannote[556].start 4965.82034375
transcript.pyannote[556].end 4967.60909375
transcript.pyannote[557].speaker SPEAKER_29
transcript.pyannote[557].start 4966.69784375
transcript.pyannote[557].end 4969.11096875
transcript.pyannote[558].speaker SPEAKER_19
transcript.pyannote[558].start 4968.90846875
transcript.pyannote[558].end 5021.77784375
transcript.pyannote[559].speaker SPEAKER_29
transcript.pyannote[559].start 4971.76034375
transcript.pyannote[559].end 4972.13159375
transcript.pyannote[560].speaker SPEAKER_29
transcript.pyannote[560].start 5020.71471875
transcript.pyannote[560].end 5022.99284375
transcript.pyannote[561].speaker SPEAKER_29
transcript.pyannote[561].start 5023.31346875
transcript.pyannote[561].end 5031.26159375
transcript.pyannote[562].speaker SPEAKER_29
transcript.pyannote[562].start 5031.81846875
transcript.pyannote[562].end 5067.10409375
transcript.pyannote[563].speaker SPEAKER_00
transcript.pyannote[563].start 5038.31534375
transcript.pyannote[563].end 5038.68659375
transcript.pyannote[564].speaker SPEAKER_29
transcript.pyannote[564].start 5067.28971875
transcript.pyannote[564].end 5083.70909375
transcript.pyannote[565].speaker SPEAKER_19
transcript.pyannote[565].start 5081.66721875
transcript.pyannote[565].end 5115.51846875
transcript.pyannote[566].speaker SPEAKER_36
transcript.pyannote[566].start 5101.56284375
transcript.pyannote[566].end 5101.90034375
transcript.pyannote[567].speaker SPEAKER_46
transcript.pyannote[567].start 5111.18159375
transcript.pyannote[567].end 5111.63721875
transcript.pyannote[568].speaker SPEAKER_46
transcript.pyannote[568].start 5115.51846875
transcript.pyannote[568].end 5115.70409375
transcript.pyannote[569].speaker SPEAKER_19
transcript.pyannote[569].start 5115.70409375
transcript.pyannote[569].end 5146.28159375
transcript.pyannote[570].speaker SPEAKER_29
transcript.pyannote[570].start 5146.01159375
transcript.pyannote[570].end 5164.11846875
transcript.pyannote[571].speaker SPEAKER_19
transcript.pyannote[571].start 5163.52784375
transcript.pyannote[571].end 5174.47971875
transcript.pyannote[572].speaker SPEAKER_29
transcript.pyannote[572].start 5168.16846875
transcript.pyannote[572].end 5168.67471875
transcript.pyannote[573].speaker SPEAKER_19
transcript.pyannote[573].start 5174.88471875
transcript.pyannote[573].end 5185.60034375
transcript.pyannote[574].speaker SPEAKER_29
transcript.pyannote[574].start 5178.22596875
transcript.pyannote[574].end 5179.42409375
transcript.pyannote[575].speaker SPEAKER_29
transcript.pyannote[575].start 5184.72284375
transcript.pyannote[575].end 5190.47721875
transcript.pyannote[576].speaker SPEAKER_19
transcript.pyannote[576].start 5186.35971875
transcript.pyannote[576].end 5186.69721875
transcript.pyannote[577].speaker SPEAKER_19
transcript.pyannote[577].start 5188.19909375
transcript.pyannote[577].end 5192.23221875
transcript.pyannote[578].speaker SPEAKER_29
transcript.pyannote[578].start 5191.74284375
transcript.pyannote[578].end 5191.92846875
transcript.pyannote[579].speaker SPEAKER_46
transcript.pyannote[579].start 5191.92846875
transcript.pyannote[579].end 5191.96221875
transcript.pyannote[580].speaker SPEAKER_46
transcript.pyannote[580].start 5192.23221875
transcript.pyannote[580].end 5192.33346875
transcript.pyannote[581].speaker SPEAKER_19
transcript.pyannote[581].start 5192.33346875
transcript.pyannote[581].end 5212.90409375
transcript.pyannote[582].speaker SPEAKER_43
transcript.pyannote[582].start 5201.36159375
transcript.pyannote[582].end 5201.61471875
transcript.pyannote[583].speaker SPEAKER_12
transcript.pyannote[583].start 5201.61471875
transcript.pyannote[583].end 5201.63159375
transcript.pyannote[584].speaker SPEAKER_29
transcript.pyannote[584].start 5212.00971875
transcript.pyannote[584].end 5230.58909375
transcript.pyannote[585].speaker SPEAKER_19
transcript.pyannote[585].start 5230.77471875
transcript.pyannote[585].end 5234.03159375
transcript.pyannote[586].speaker SPEAKER_07
transcript.pyannote[586].start 5235.33096875
transcript.pyannote[586].end 5236.91721875
transcript.pyannote[587].speaker SPEAKER_07
transcript.pyannote[587].start 5241.05159375
transcript.pyannote[587].end 5242.78971875
transcript.pyannote[588].speaker SPEAKER_22
transcript.pyannote[588].start 5253.47159375
transcript.pyannote[588].end 5254.88909375
transcript.pyannote[589].speaker SPEAKER_07
transcript.pyannote[589].start 5255.07471875
transcript.pyannote[589].end 5256.25596875
transcript.pyannote[590].speaker SPEAKER_22
transcript.pyannote[590].start 5257.18409375
transcript.pyannote[590].end 5258.04471875
transcript.pyannote[591].speaker SPEAKER_22
transcript.pyannote[591].start 5258.36534375
transcript.pyannote[591].end 5259.02346875
transcript.pyannote[592].speaker SPEAKER_22
transcript.pyannote[592].start 5259.44534375
transcript.pyannote[592].end 5260.00221875
transcript.pyannote[593].speaker SPEAKER_07
transcript.pyannote[593].start 5259.51284375
transcript.pyannote[593].end 5259.66471875
transcript.pyannote[594].speaker SPEAKER_22
transcript.pyannote[594].start 5260.62659375
transcript.pyannote[594].end 5261.68971875
transcript.pyannote[595].speaker SPEAKER_07
transcript.pyannote[595].start 5261.68971875
transcript.pyannote[595].end 5262.46596875
transcript.pyannote[596].speaker SPEAKER_22
transcript.pyannote[596].start 5266.12784375
transcript.pyannote[596].end 5267.34284375
transcript.pyannote[597].speaker SPEAKER_07
transcript.pyannote[597].start 5267.84909375
transcript.pyannote[597].end 5268.99659375
transcript.pyannote[598].speaker SPEAKER_22
transcript.pyannote[598].start 5268.15284375
transcript.pyannote[598].end 5269.06409375
transcript.pyannote[599].speaker SPEAKER_22
transcript.pyannote[599].start 5277.60284375
transcript.pyannote[599].end 5278.54784375
transcript.pyannote[600].speaker SPEAKER_22
transcript.pyannote[600].start 5279.18909375
transcript.pyannote[600].end 5279.69534375
transcript.pyannote[601].speaker SPEAKER_22
transcript.pyannote[601].start 5280.85971875
transcript.pyannote[601].end 5289.16221875
transcript.pyannote[602].speaker SPEAKER_29
transcript.pyannote[602].start 5289.68534375
transcript.pyannote[602].end 5290.07346875
transcript.pyannote[603].speaker SPEAKER_22
transcript.pyannote[603].start 5290.20846875
transcript.pyannote[603].end 5291.17034375
transcript.pyannote[604].speaker SPEAKER_29
transcript.pyannote[604].start 5292.06471875
transcript.pyannote[604].end 5293.95471875
transcript.pyannote[605].speaker SPEAKER_22
transcript.pyannote[605].start 5293.95471875
transcript.pyannote[605].end 5294.41034375
transcript.pyannote[606].speaker SPEAKER_22
transcript.pyannote[606].start 5295.13596875
transcript.pyannote[606].end 5297.65034375
transcript.pyannote[607].speaker SPEAKER_22
transcript.pyannote[607].start 5298.32534375
transcript.pyannote[607].end 5301.48096875
transcript.pyannote[608].speaker SPEAKER_29
transcript.pyannote[608].start 5301.48096875
transcript.pyannote[608].end 5301.63284375
transcript.pyannote[609].speaker SPEAKER_29
transcript.pyannote[609].start 5302.12221875
transcript.pyannote[609].end 5308.07909375
transcript.pyannote[610].speaker SPEAKER_22
transcript.pyannote[610].start 5308.07909375
transcript.pyannote[610].end 5309.00721875
transcript.pyannote[611].speaker SPEAKER_29
transcript.pyannote[611].start 5309.00721875
transcript.pyannote[611].end 5309.09159375
transcript.pyannote[612].speaker SPEAKER_22
transcript.pyannote[612].start 5309.09159375
transcript.pyannote[612].end 5309.14221875
transcript.pyannote[613].speaker SPEAKER_29
transcript.pyannote[613].start 5309.14221875
transcript.pyannote[613].end 5309.15909375
transcript.pyannote[614].speaker SPEAKER_29
transcript.pyannote[614].start 5309.19284375
transcript.pyannote[614].end 5309.20971875
transcript.pyannote[615].speaker SPEAKER_39
transcript.pyannote[615].start 5309.24346875
transcript.pyannote[615].end 5310.66096875
transcript.pyannote[616].speaker SPEAKER_29
transcript.pyannote[616].start 5309.85096875
transcript.pyannote[616].end 5310.01971875
transcript.pyannote[617].speaker SPEAKER_22
transcript.pyannote[617].start 5310.94784375
transcript.pyannote[617].end 5315.75721875
transcript.pyannote[618].speaker SPEAKER_22
transcript.pyannote[618].start 5315.94284375
transcript.pyannote[618].end 5318.15346875
transcript.pyannote[619].speaker SPEAKER_39
transcript.pyannote[619].start 5316.75284375
transcript.pyannote[619].end 5316.83721875
transcript.pyannote[620].speaker SPEAKER_22
transcript.pyannote[620].start 5319.30096875
transcript.pyannote[620].end 5322.35534375
transcript.pyannote[621].speaker SPEAKER_22
transcript.pyannote[621].start 5322.74346875
transcript.pyannote[621].end 5323.95846875
transcript.pyannote[622].speaker SPEAKER_22
transcript.pyannote[622].start 5324.07659375
transcript.pyannote[622].end 5324.39721875
transcript.pyannote[623].speaker SPEAKER_22
transcript.pyannote[623].start 5324.92034375
transcript.pyannote[623].end 5327.46846875
transcript.pyannote[624].speaker SPEAKER_22
transcript.pyannote[624].start 5327.48534375
transcript.pyannote[624].end 5336.93534375
transcript.pyannote[625].speaker SPEAKER_39
transcript.pyannote[625].start 5328.51471875
transcript.pyannote[625].end 5329.79721875
transcript.pyannote[626].speaker SPEAKER_39
transcript.pyannote[626].start 5336.93534375
transcript.pyannote[626].end 5337.15471875
transcript.pyannote[627].speaker SPEAKER_22
transcript.pyannote[627].start 5337.15471875
transcript.pyannote[627].end 5345.55846875
transcript.pyannote[628].speaker SPEAKER_39
transcript.pyannote[628].start 5337.20534375
transcript.pyannote[628].end 5337.25596875
transcript.pyannote[629].speaker SPEAKER_46
transcript.pyannote[629].start 5345.54159375
transcript.pyannote[629].end 5346.01409375
transcript.pyannote[630].speaker SPEAKER_22
transcript.pyannote[630].start 5345.74409375
transcript.pyannote[630].end 5345.81159375
transcript.pyannote[631].speaker SPEAKER_22
transcript.pyannote[631].start 5345.82846875
transcript.pyannote[631].end 5349.08534375
transcript.pyannote[632].speaker SPEAKER_22
transcript.pyannote[632].start 5349.55784375
transcript.pyannote[632].end 5351.98784375
transcript.pyannote[633].speaker SPEAKER_39
transcript.pyannote[633].start 5352.56159375
transcript.pyannote[633].end 5352.67971875
transcript.pyannote[634].speaker SPEAKER_22
transcript.pyannote[634].start 5352.67971875
transcript.pyannote[634].end 5362.07909375
transcript.pyannote[635].speaker SPEAKER_39
transcript.pyannote[635].start 5352.69659375
transcript.pyannote[635].end 5352.81471875
transcript.pyannote[636].speaker SPEAKER_46
transcript.pyannote[636].start 5362.14659375
transcript.pyannote[636].end 5362.60221875
transcript.pyannote[637].speaker SPEAKER_22
transcript.pyannote[637].start 5362.48409375
transcript.pyannote[637].end 5364.01971875
transcript.pyannote[638].speaker SPEAKER_46
transcript.pyannote[638].start 5364.35721875
transcript.pyannote[638].end 5364.69471875
transcript.pyannote[639].speaker SPEAKER_22
transcript.pyannote[639].start 5364.98159375
transcript.pyannote[639].end 5365.75784375
transcript.pyannote[640].speaker SPEAKER_22
transcript.pyannote[640].start 5366.02784375
transcript.pyannote[640].end 5368.33971875
transcript.pyannote[641].speaker SPEAKER_22
transcript.pyannote[641].start 5369.11596875
transcript.pyannote[641].end 5371.09034375
transcript.pyannote[642].speaker SPEAKER_22
transcript.pyannote[642].start 5371.56284375
transcript.pyannote[642].end 5372.59221875
transcript.pyannote[643].speaker SPEAKER_22
transcript.pyannote[643].start 5373.08159375
transcript.pyannote[643].end 5376.05159375
transcript.pyannote[644].speaker SPEAKER_22
transcript.pyannote[644].start 5376.82784375
transcript.pyannote[644].end 5384.79284375
transcript.pyannote[645].speaker SPEAKER_39
transcript.pyannote[645].start 5384.79284375
transcript.pyannote[645].end 5385.23159375
transcript.pyannote[646].speaker SPEAKER_22
transcript.pyannote[646].start 5385.07971875
transcript.pyannote[646].end 5393.56784375
transcript.pyannote[647].speaker SPEAKER_39
transcript.pyannote[647].start 5385.60284375
transcript.pyannote[647].end 5385.75471875
transcript.pyannote[648].speaker SPEAKER_39
transcript.pyannote[648].start 5387.71221875
transcript.pyannote[648].end 5388.48846875
transcript.pyannote[649].speaker SPEAKER_22
transcript.pyannote[649].start 5394.29346875
transcript.pyannote[649].end 5401.43159375
transcript.pyannote[650].speaker SPEAKER_22
transcript.pyannote[650].start 5401.93784375
transcript.pyannote[650].end 5404.89096875
transcript.pyannote[651].speaker SPEAKER_39
transcript.pyannote[651].start 5404.89096875
transcript.pyannote[651].end 5405.31284375
transcript.pyannote[652].speaker SPEAKER_22
transcript.pyannote[652].start 5405.97096875
transcript.pyannote[652].end 5419.77471875
transcript.pyannote[653].speaker SPEAKER_46
transcript.pyannote[653].start 5419.77471875
transcript.pyannote[653].end 5420.07846875
transcript.pyannote[654].speaker SPEAKER_22
transcript.pyannote[654].start 5419.96034375
transcript.pyannote[654].end 5427.55409375
transcript.pyannote[655].speaker SPEAKER_46
transcript.pyannote[655].start 5426.22096875
transcript.pyannote[655].end 5426.49096875
transcript.pyannote[656].speaker SPEAKER_46
transcript.pyannote[656].start 5427.75659375
transcript.pyannote[656].end 5427.90846875
transcript.pyannote[657].speaker SPEAKER_22
transcript.pyannote[657].start 5427.90846875
transcript.pyannote[657].end 5430.69284375
transcript.pyannote[658].speaker SPEAKER_22
transcript.pyannote[658].start 5431.24971875
transcript.pyannote[658].end 5435.46846875
transcript.pyannote[659].speaker SPEAKER_22
transcript.pyannote[659].start 5435.83971875
transcript.pyannote[659].end 5436.80159375
transcript.pyannote[660].speaker SPEAKER_22
transcript.pyannote[660].start 5436.97034375
transcript.pyannote[660].end 5437.96596875
transcript.pyannote[661].speaker SPEAKER_29
transcript.pyannote[661].start 5437.96596875
transcript.pyannote[661].end 5438.38784375
transcript.pyannote[662].speaker SPEAKER_29
transcript.pyannote[662].start 5439.67034375
transcript.pyannote[662].end 5448.29346875
transcript.pyannote[663].speaker SPEAKER_37
transcript.pyannote[663].start 5446.75784375
transcript.pyannote[663].end 5447.97284375
transcript.pyannote[664].speaker SPEAKER_46
transcript.pyannote[664].start 5447.97284375
transcript.pyannote[664].end 5448.19221875
transcript.pyannote[665].speaker SPEAKER_29
transcript.pyannote[665].start 5448.56346875
transcript.pyannote[665].end 5457.03471875
transcript.pyannote[666].speaker SPEAKER_46
transcript.pyannote[666].start 5448.61409375
transcript.pyannote[666].end 5449.59284375
transcript.pyannote[667].speaker SPEAKER_46
transcript.pyannote[667].start 5449.76159375
transcript.pyannote[667].end 5450.85846875
transcript.pyannote[668].speaker SPEAKER_22
transcript.pyannote[668].start 5457.03471875
transcript.pyannote[668].end 5486.97096875
transcript.pyannote[669].speaker SPEAKER_29
transcript.pyannote[669].start 5486.97096875
transcript.pyannote[669].end 5498.71596875
transcript.pyannote[670].speaker SPEAKER_22
transcript.pyannote[670].start 5495.12159375
transcript.pyannote[670].end 5495.52659375
transcript.pyannote[671].speaker SPEAKER_22
transcript.pyannote[671].start 5495.69534375
transcript.pyannote[671].end 5507.28846875
transcript.pyannote[672].speaker SPEAKER_29
transcript.pyannote[672].start 5506.03971875
transcript.pyannote[672].end 5508.03096875
transcript.pyannote[673].speaker SPEAKER_22
transcript.pyannote[673].start 5507.69346875
transcript.pyannote[673].end 5540.07659375
transcript.pyannote[674].speaker SPEAKER_46
transcript.pyannote[674].start 5512.36784375
transcript.pyannote[674].end 5512.38471875
transcript.pyannote[675].speaker SPEAKER_22
transcript.pyannote[675].start 5540.26221875
transcript.pyannote[675].end 5548.71659375
transcript.pyannote[676].speaker SPEAKER_22
transcript.pyannote[676].start 5548.98659375
transcript.pyannote[676].end 5549.89784375
transcript.pyannote[677].speaker SPEAKER_43
transcript.pyannote[677].start 5550.04971875
transcript.pyannote[677].end 5550.45471875
transcript.pyannote[678].speaker SPEAKER_22
transcript.pyannote[678].start 5550.79221875
transcript.pyannote[678].end 5552.15909375
transcript.pyannote[679].speaker SPEAKER_43
transcript.pyannote[679].start 5552.42909375
transcript.pyannote[679].end 5552.74971875
transcript.pyannote[680].speaker SPEAKER_22
transcript.pyannote[680].start 5552.93534375
transcript.pyannote[680].end 5555.78721875
transcript.pyannote[681].speaker SPEAKER_22
transcript.pyannote[681].start 5555.85471875
transcript.pyannote[681].end 5555.88846875
transcript.pyannote[682].speaker SPEAKER_43
transcript.pyannote[682].start 5555.88846875
transcript.pyannote[682].end 5556.10784375
transcript.pyannote[683].speaker SPEAKER_22
transcript.pyannote[683].start 5556.10784375
transcript.pyannote[683].end 5559.49971875
transcript.pyannote[684].speaker SPEAKER_43
transcript.pyannote[684].start 5558.16659375
transcript.pyannote[684].end 5558.23409375
transcript.pyannote[685].speaker SPEAKER_46
transcript.pyannote[685].start 5558.23409375
transcript.pyannote[685].end 5558.90909375
transcript.pyannote[686].speaker SPEAKER_46
transcript.pyannote[686].start 5559.49971875
transcript.pyannote[686].end 5560.30971875
transcript.pyannote[687].speaker SPEAKER_22
transcript.pyannote[687].start 5559.66846875
transcript.pyannote[687].end 5562.95909375
transcript.pyannote[688].speaker SPEAKER_46
transcript.pyannote[688].start 5562.95909375
transcript.pyannote[688].end 5563.66784375
transcript.pyannote[689].speaker SPEAKER_22
transcript.pyannote[689].start 5563.31346875
transcript.pyannote[689].end 5566.65471875
transcript.pyannote[690].speaker SPEAKER_22
transcript.pyannote[690].start 5567.12721875
transcript.pyannote[690].end 5595.79784375
transcript.pyannote[691].speaker SPEAKER_29
transcript.pyannote[691].start 5595.24096875
transcript.pyannote[691].end 5595.51096875
transcript.pyannote[692].speaker SPEAKER_29
transcript.pyannote[692].start 5595.79784375
transcript.pyannote[692].end 5595.89909375
transcript.pyannote[693].speaker SPEAKER_22
transcript.pyannote[693].start 5595.89909375
transcript.pyannote[693].end 5599.00409375
transcript.pyannote[694].speaker SPEAKER_29
transcript.pyannote[694].start 5596.13534375
transcript.pyannote[694].end 5596.15221875
transcript.pyannote[695].speaker SPEAKER_22
transcript.pyannote[695].start 5599.83096875
transcript.pyannote[695].end 5607.55971875
transcript.pyannote[696].speaker SPEAKER_39
transcript.pyannote[696].start 5602.90221875
transcript.pyannote[696].end 5602.91909375
transcript.pyannote[697].speaker SPEAKER_39
transcript.pyannote[697].start 5603.00346875
transcript.pyannote[697].end 5603.10471875
transcript.pyannote[698].speaker SPEAKER_39
transcript.pyannote[698].start 5603.12159375
transcript.pyannote[698].end 5603.22284375
transcript.pyannote[699].speaker SPEAKER_22
transcript.pyannote[699].start 5608.35284375
transcript.pyannote[699].end 5620.82346875
transcript.pyannote[700].speaker SPEAKER_29
transcript.pyannote[700].start 5617.00971875
transcript.pyannote[700].end 5618.07284375
transcript.pyannote[701].speaker SPEAKER_29
transcript.pyannote[701].start 5620.65471875
transcript.pyannote[701].end 5620.70534375
transcript.pyannote[702].speaker SPEAKER_29
transcript.pyannote[702].start 5620.82346875
transcript.pyannote[702].end 5631.03284375
transcript.pyannote[703].speaker SPEAKER_22
transcript.pyannote[703].start 5628.45096875
transcript.pyannote[703].end 5629.27784375
transcript.pyannote[704].speaker SPEAKER_22
transcript.pyannote[704].start 5631.03284375
transcript.pyannote[704].end 5641.95096875
transcript.pyannote[705].speaker SPEAKER_29
transcript.pyannote[705].start 5633.73284375
transcript.pyannote[705].end 5633.90159375
transcript.pyannote[706].speaker SPEAKER_39
transcript.pyannote[706].start 5641.95096875
transcript.pyannote[706].end 5642.55846875
transcript.pyannote[707].speaker SPEAKER_22
transcript.pyannote[707].start 5642.28846875
transcript.pyannote[707].end 5651.97471875
transcript.pyannote[708].speaker SPEAKER_29
transcript.pyannote[708].start 5651.50221875
transcript.pyannote[708].end 5665.23846875
transcript.pyannote[709].speaker SPEAKER_22
transcript.pyannote[709].start 5665.23846875
transcript.pyannote[709].end 5698.73534375
transcript.pyannote[710].speaker SPEAKER_29
transcript.pyannote[710].start 5666.25096875
transcript.pyannote[710].end 5666.97659375
transcript.pyannote[711].speaker SPEAKER_46
transcript.pyannote[711].start 5673.11909375
transcript.pyannote[711].end 5673.43971875
transcript.pyannote[712].speaker SPEAKER_30
transcript.pyannote[712].start 5673.43971875
transcript.pyannote[712].end 5673.45659375
transcript.pyannote[713].speaker SPEAKER_46
transcript.pyannote[713].start 5677.92846875
transcript.pyannote[713].end 5677.99596875
transcript.pyannote[714].speaker SPEAKER_43
transcript.pyannote[714].start 5679.76784375
transcript.pyannote[714].end 5679.78471875
transcript.pyannote[715].speaker SPEAKER_46
transcript.pyannote[715].start 5679.78471875
transcript.pyannote[715].end 5679.85221875
transcript.pyannote[716].speaker SPEAKER_43
transcript.pyannote[716].start 5679.85221875
transcript.pyannote[716].end 5679.95346875
transcript.pyannote[717].speaker SPEAKER_14
transcript.pyannote[717].start 5693.47034375
transcript.pyannote[717].end 5693.50409375
transcript.pyannote[718].speaker SPEAKER_29
transcript.pyannote[718].start 5693.50409375
transcript.pyannote[718].end 5693.80784375
transcript.pyannote[719].speaker SPEAKER_29
transcript.pyannote[719].start 5697.40221875
transcript.pyannote[719].end 5701.38471875
transcript.pyannote[720].speaker SPEAKER_22
transcript.pyannote[720].start 5699.84909375
transcript.pyannote[720].end 5712.03284375
transcript.pyannote[721].speaker SPEAKER_43
transcript.pyannote[721].start 5712.21846875
transcript.pyannote[721].end 5712.64034375
transcript.pyannote[722].speaker SPEAKER_22
transcript.pyannote[722].start 5712.64034375
transcript.pyannote[722].end 5718.56346875
transcript.pyannote[723].speaker SPEAKER_29
transcript.pyannote[723].start 5717.06159375
transcript.pyannote[723].end 5720.82471875
transcript.pyannote[724].speaker SPEAKER_22
transcript.pyannote[724].start 5719.18784375
transcript.pyannote[724].end 5736.70409375
transcript.pyannote[725].speaker SPEAKER_22
transcript.pyannote[725].start 5737.36221875
transcript.pyannote[725].end 5740.45034375
transcript.pyannote[726].speaker SPEAKER_22
transcript.pyannote[726].start 5740.90596875
transcript.pyannote[726].end 5741.46284375
transcript.pyannote[727].speaker SPEAKER_22
transcript.pyannote[727].start 5741.88471875
transcript.pyannote[727].end 5742.57659375
transcript.pyannote[728].speaker SPEAKER_22
transcript.pyannote[728].start 5742.69471875
transcript.pyannote[728].end 5744.88846875
transcript.pyannote[729].speaker SPEAKER_22
transcript.pyannote[729].start 5745.68159375
transcript.pyannote[729].end 5759.97471875
transcript.pyannote[730].speaker SPEAKER_46
transcript.pyannote[730].start 5748.09471875
transcript.pyannote[730].end 5748.48284375
transcript.pyannote[731].speaker SPEAKER_29
transcript.pyannote[731].start 5759.48534375
transcript.pyannote[731].end 5763.38346875
transcript.pyannote[732].speaker SPEAKER_34
transcript.pyannote[732].start 5759.97471875
transcript.pyannote[732].end 5761.15596875
transcript.pyannote[733].speaker SPEAKER_22
transcript.pyannote[733].start 5761.15596875
transcript.pyannote[733].end 5761.18971875
transcript.pyannote[734].speaker SPEAKER_34
transcript.pyannote[734].start 5761.57784375
transcript.pyannote[734].end 5762.01659375
transcript.pyannote[735].speaker SPEAKER_34
transcript.pyannote[735].start 5762.89409375
transcript.pyannote[735].end 5785.37159375
transcript.pyannote[736].speaker SPEAKER_22
transcript.pyannote[736].start 5785.55721875
transcript.pyannote[736].end 5798.70284375
transcript.pyannote[737].speaker SPEAKER_22
transcript.pyannote[737].start 5799.15846875
transcript.pyannote[737].end 5804.60909375
transcript.pyannote[738].speaker SPEAKER_43
transcript.pyannote[738].start 5801.11596875
transcript.pyannote[738].end 5803.05659375
transcript.pyannote[739].speaker SPEAKER_43
transcript.pyannote[739].start 5804.72721875
transcript.pyannote[739].end 5805.08159375
transcript.pyannote[740].speaker SPEAKER_22
transcript.pyannote[740].start 5805.38534375
transcript.pyannote[740].end 5822.49659375
transcript.pyannote[741].speaker SPEAKER_43
transcript.pyannote[741].start 5811.69659375
transcript.pyannote[741].end 5812.00034375
transcript.pyannote[742].speaker SPEAKER_22
transcript.pyannote[742].start 5822.69909375
transcript.pyannote[742].end 5823.71159375
transcript.pyannote[743].speaker SPEAKER_22
transcript.pyannote[743].start 5824.04909375
transcript.pyannote[743].end 5828.79096875
transcript.pyannote[744].speaker SPEAKER_46
transcript.pyannote[744].start 5826.69846875
transcript.pyannote[744].end 5826.96846875
transcript.pyannote[745].speaker SPEAKER_22
transcript.pyannote[745].start 5828.82471875
transcript.pyannote[745].end 5837.02596875
transcript.pyannote[746].speaker SPEAKER_46
transcript.pyannote[746].start 5828.94284375
transcript.pyannote[746].end 5828.99346875
transcript.pyannote[747].speaker SPEAKER_22
transcript.pyannote[747].start 5837.73471875
transcript.pyannote[747].end 5860.87034375
transcript.pyannote[748].speaker SPEAKER_27
transcript.pyannote[748].start 5851.84221875
transcript.pyannote[748].end 5851.87596875
transcript.pyannote[749].speaker SPEAKER_27
transcript.pyannote[749].start 5854.59284375
transcript.pyannote[749].end 5855.26784375
transcript.pyannote[750].speaker SPEAKER_22
transcript.pyannote[750].start 5861.30909375
transcript.pyannote[750].end 5863.73909375
transcript.pyannote[751].speaker SPEAKER_22
transcript.pyannote[751].start 5864.29596875
transcript.pyannote[751].end 5870.16846875
transcript.pyannote[752].speaker SPEAKER_46
transcript.pyannote[752].start 5870.16846875
transcript.pyannote[752].end 5870.45534375
transcript.pyannote[753].speaker SPEAKER_22
transcript.pyannote[753].start 5870.32034375
transcript.pyannote[753].end 5901.97784375
transcript.pyannote[754].speaker SPEAKER_46
transcript.pyannote[754].start 5881.15409375
transcript.pyannote[754].end 5881.49159375
transcript.pyannote[755].speaker SPEAKER_39
transcript.pyannote[755].start 5901.97784375
transcript.pyannote[755].end 5901.99471875
transcript.pyannote[756].speaker SPEAKER_22
transcript.pyannote[756].start 5901.99471875
transcript.pyannote[756].end 5902.02846875
transcript.pyannote[757].speaker SPEAKER_39
transcript.pyannote[757].start 5902.02846875
transcript.pyannote[757].end 5902.06221875
transcript.pyannote[758].speaker SPEAKER_22
transcript.pyannote[758].start 5902.06221875
transcript.pyannote[758].end 5903.32784375
transcript.pyannote[759].speaker SPEAKER_39
transcript.pyannote[759].start 5902.39971875
transcript.pyannote[759].end 5902.87221875
transcript.pyannote[760].speaker SPEAKER_39
transcript.pyannote[760].start 5903.32784375
transcript.pyannote[760].end 5903.34471875
transcript.pyannote[761].speaker SPEAKER_07
transcript.pyannote[761].start 5904.40784375
transcript.pyannote[761].end 5906.01096875
transcript.pyannote[762].speaker SPEAKER_07
transcript.pyannote[762].start 5908.84596875
transcript.pyannote[762].end 5911.10721875
transcript.pyannote[763].speaker SPEAKER_47
transcript.pyannote[763].start 5920.57409375
transcript.pyannote[763].end 5924.70846875
transcript.pyannote[764].speaker SPEAKER_47
transcript.pyannote[764].start 5924.96159375
transcript.pyannote[764].end 5926.21034375
transcript.pyannote[765].speaker SPEAKER_47
transcript.pyannote[765].start 5927.23971875
transcript.pyannote[765].end 5928.92721875
transcript.pyannote[766].speaker SPEAKER_07
transcript.pyannote[766].start 5929.16346875
transcript.pyannote[766].end 5930.24346875
transcript.pyannote[767].speaker SPEAKER_47
transcript.pyannote[767].start 5940.38534375
transcript.pyannote[767].end 5943.18659375
transcript.pyannote[768].speaker SPEAKER_47
transcript.pyannote[768].start 5945.32971875
transcript.pyannote[768].end 5950.00409375
transcript.pyannote[769].speaker SPEAKER_29
transcript.pyannote[769].start 5950.71284375
transcript.pyannote[769].end 5952.88971875
transcript.pyannote[770].speaker SPEAKER_47
transcript.pyannote[770].start 5953.46346875
transcript.pyannote[770].end 5956.90596875
transcript.pyannote[771].speaker SPEAKER_29
transcript.pyannote[771].start 5953.91909375
transcript.pyannote[771].end 5954.61096875
transcript.pyannote[772].speaker SPEAKER_47
transcript.pyannote[772].start 5957.22659375
transcript.pyannote[772].end 5967.36846875
transcript.pyannote[773].speaker SPEAKER_47
transcript.pyannote[773].start 5967.80721875
transcript.pyannote[773].end 5969.24159375
transcript.pyannote[774].speaker SPEAKER_47
transcript.pyannote[774].start 5970.16971875
transcript.pyannote[774].end 5985.61034375
transcript.pyannote[775].speaker SPEAKER_29
transcript.pyannote[775].start 5986.67346875
transcript.pyannote[775].end 5986.70721875
transcript.pyannote[776].speaker SPEAKER_47
transcript.pyannote[776].start 5986.70721875
transcript.pyannote[776].end 5986.97721875
transcript.pyannote[777].speaker SPEAKER_29
transcript.pyannote[777].start 5986.97721875
transcript.pyannote[777].end 6036.37034375
transcript.pyannote[778].speaker SPEAKER_47
transcript.pyannote[778].start 6036.37034375
transcript.pyannote[778].end 6046.44471875
transcript.pyannote[779].speaker SPEAKER_29
transcript.pyannote[779].start 6036.42096875
transcript.pyannote[779].end 6036.64034375
transcript.pyannote[780].speaker SPEAKER_29
transcript.pyannote[780].start 6046.44471875
transcript.pyannote[780].end 6046.71471875
transcript.pyannote[781].speaker SPEAKER_47
transcript.pyannote[781].start 6046.71471875
transcript.pyannote[781].end 6048.41909375
transcript.pyannote[782].speaker SPEAKER_29
transcript.pyannote[782].start 6048.41909375
transcript.pyannote[782].end 6050.29221875
transcript.pyannote[783].speaker SPEAKER_47
transcript.pyannote[783].start 6050.29221875
transcript.pyannote[783].end 6050.68034375
transcript.pyannote[784].speaker SPEAKER_29
transcript.pyannote[784].start 6050.68034375
transcript.pyannote[784].end 6054.73034375
transcript.pyannote[785].speaker SPEAKER_47
transcript.pyannote[785].start 6051.27096875
transcript.pyannote[785].end 6052.85721875
transcript.pyannote[786].speaker SPEAKER_29
transcript.pyannote[786].start 6055.91159375
transcript.pyannote[786].end 6056.31659375
transcript.pyannote[787].speaker SPEAKER_29
transcript.pyannote[787].start 6058.03784375
transcript.pyannote[787].end 6063.92721875
transcript.pyannote[788].speaker SPEAKER_29
transcript.pyannote[788].start 6064.12971875
transcript.pyannote[788].end 6064.16346875
transcript.pyannote[789].speaker SPEAKER_47
transcript.pyannote[789].start 6064.16346875
transcript.pyannote[789].end 6073.30971875
transcript.pyannote[790].speaker SPEAKER_29
transcript.pyannote[790].start 6064.19721875
transcript.pyannote[790].end 6066.96471875
transcript.pyannote[791].speaker SPEAKER_29
transcript.pyannote[791].start 6072.66846875
transcript.pyannote[791].end 6073.83284375
transcript.pyannote[792].speaker SPEAKER_47
transcript.pyannote[792].start 6073.47846875
transcript.pyannote[792].end 6078.84471875
transcript.pyannote[793].speaker SPEAKER_47
transcript.pyannote[793].start 6079.01346875
transcript.pyannote[793].end 6079.03034375
transcript.pyannote[794].speaker SPEAKER_29
transcript.pyannote[794].start 6079.03034375
transcript.pyannote[794].end 6080.85284375
transcript.pyannote[795].speaker SPEAKER_47
transcript.pyannote[795].start 6080.85284375
transcript.pyannote[795].end 6083.16471875
transcript.pyannote[796].speaker SPEAKER_29
transcript.pyannote[796].start 6083.16471875
transcript.pyannote[796].end 6083.94096875
transcript.pyannote[797].speaker SPEAKER_47
transcript.pyannote[797].start 6083.45159375
transcript.pyannote[797].end 6092.36159375
transcript.pyannote[798].speaker SPEAKER_46
transcript.pyannote[798].start 6086.64096875
transcript.pyannote[798].end 6086.91096875
transcript.pyannote[799].speaker SPEAKER_46
transcript.pyannote[799].start 6092.36159375
transcript.pyannote[799].end 6092.64846875
transcript.pyannote[800].speaker SPEAKER_47
transcript.pyannote[800].start 6092.64846875
transcript.pyannote[800].end 6099.11159375
transcript.pyannote[801].speaker SPEAKER_29
transcript.pyannote[801].start 6099.11159375
transcript.pyannote[801].end 6099.16221875
transcript.pyannote[802].speaker SPEAKER_43
transcript.pyannote[802].start 6099.16221875
transcript.pyannote[802].end 6099.44909375
transcript.pyannote[803].speaker SPEAKER_39
transcript.pyannote[803].start 6099.44909375
transcript.pyannote[803].end 6099.48284375
transcript.pyannote[804].speaker SPEAKER_29
transcript.pyannote[804].start 6099.48284375
transcript.pyannote[804].end 6099.49971875
transcript.pyannote[805].speaker SPEAKER_47
transcript.pyannote[805].start 6099.95534375
transcript.pyannote[805].end 6100.96784375
transcript.pyannote[806].speaker SPEAKER_29
transcript.pyannote[806].start 6100.96784375
transcript.pyannote[806].end 6108.56159375
transcript.pyannote[807].speaker SPEAKER_29
transcript.pyannote[807].start 6109.15221875
transcript.pyannote[807].end 6109.16909375
transcript.pyannote[808].speaker SPEAKER_47
transcript.pyannote[808].start 6109.16909375
transcript.pyannote[808].end 6134.58284375
transcript.pyannote[809].speaker SPEAKER_47
transcript.pyannote[809].start 6135.32534375
transcript.pyannote[809].end 6140.33721875
transcript.pyannote[810].speaker SPEAKER_47
transcript.pyannote[810].start 6140.75909375
transcript.pyannote[810].end 6147.22221875
transcript.pyannote[811].speaker SPEAKER_29
transcript.pyannote[811].start 6141.36659375
transcript.pyannote[811].end 6142.22721875
transcript.pyannote[812].speaker SPEAKER_29
transcript.pyannote[812].start 6145.95659375
transcript.pyannote[812].end 6146.37846875
transcript.pyannote[813].speaker SPEAKER_29
transcript.pyannote[813].start 6146.59784375
transcript.pyannote[813].end 6148.20096875
transcript.pyannote[814].speaker SPEAKER_47
transcript.pyannote[814].start 6148.20096875
transcript.pyannote[814].end 6151.57596875
transcript.pyannote[815].speaker SPEAKER_29
transcript.pyannote[815].start 6151.49159375
transcript.pyannote[815].end 6151.55909375
transcript.pyannote[816].speaker SPEAKER_29
transcript.pyannote[816].start 6151.57596875
transcript.pyannote[816].end 6151.76159375
transcript.pyannote[817].speaker SPEAKER_47
transcript.pyannote[817].start 6151.64346875
transcript.pyannote[817].end 6157.14471875
transcript.pyannote[818].speaker SPEAKER_46
transcript.pyannote[818].start 6151.76159375
transcript.pyannote[818].end 6151.77846875
transcript.pyannote[819].speaker SPEAKER_46
transcript.pyannote[819].start 6157.12784375
transcript.pyannote[819].end 6157.34721875
transcript.pyannote[820].speaker SPEAKER_47
transcript.pyannote[820].start 6157.34721875
transcript.pyannote[820].end 6170.30721875
transcript.pyannote[821].speaker SPEAKER_47
transcript.pyannote[821].start 6170.77971875
transcript.pyannote[821].end 6172.85534375
transcript.pyannote[822].speaker SPEAKER_39
transcript.pyannote[822].start 6172.85534375
transcript.pyannote[822].end 6175.28534375
transcript.pyannote[823].speaker SPEAKER_47
transcript.pyannote[823].start 6173.26034375
transcript.pyannote[823].end 6175.23471875
transcript.pyannote[824].speaker SPEAKER_47
transcript.pyannote[824].start 6175.28534375
transcript.pyannote[824].end 6182.10284375
transcript.pyannote[825].speaker SPEAKER_39
transcript.pyannote[825].start 6178.25534375
transcript.pyannote[825].end 6178.35659375
transcript.pyannote[826].speaker SPEAKER_29
transcript.pyannote[826].start 6178.35659375
transcript.pyannote[826].end 6178.72784375
transcript.pyannote[827].speaker SPEAKER_29
transcript.pyannote[827].start 6181.39409375
transcript.pyannote[827].end 6185.74784375
transcript.pyannote[828].speaker SPEAKER_47
transcript.pyannote[828].start 6184.48221875
transcript.pyannote[828].end 6184.76909375
transcript.pyannote[829].speaker SPEAKER_47
transcript.pyannote[829].start 6185.74784375
transcript.pyannote[829].end 6188.76846875
transcript.pyannote[830].speaker SPEAKER_47
transcript.pyannote[830].start 6190.42221875
transcript.pyannote[830].end 6192.26159375
transcript.pyannote[831].speaker SPEAKER_47
transcript.pyannote[831].start 6192.51471875
transcript.pyannote[831].end 6194.06721875
transcript.pyannote[832].speaker SPEAKER_47
transcript.pyannote[832].start 6194.15159375
transcript.pyannote[832].end 6203.36534375
transcript.pyannote[833].speaker SPEAKER_47
transcript.pyannote[833].start 6204.07409375
transcript.pyannote[833].end 6214.57034375
transcript.pyannote[834].speaker SPEAKER_29
transcript.pyannote[834].start 6209.96346875
transcript.pyannote[834].end 6210.33471875
transcript.pyannote[835].speaker SPEAKER_47
transcript.pyannote[835].start 6216.30846875
transcript.pyannote[835].end 6219.24471875
transcript.pyannote[836].speaker SPEAKER_29
transcript.pyannote[836].start 6219.24471875
transcript.pyannote[836].end 6219.27846875
transcript.pyannote[837].speaker SPEAKER_47
transcript.pyannote[837].start 6219.27846875
transcript.pyannote[837].end 6219.31221875
transcript.pyannote[838].speaker SPEAKER_29
transcript.pyannote[838].start 6219.31221875
transcript.pyannote[838].end 6219.34596875
transcript.pyannote[839].speaker SPEAKER_47
transcript.pyannote[839].start 6219.34596875
transcript.pyannote[839].end 6219.39659375
transcript.pyannote[840].speaker SPEAKER_47
transcript.pyannote[840].start 6219.70034375
transcript.pyannote[840].end 6219.75096875
transcript.pyannote[841].speaker SPEAKER_29
transcript.pyannote[841].start 6219.75096875
transcript.pyannote[841].end 6224.61096875
transcript.pyannote[842].speaker SPEAKER_46
transcript.pyannote[842].start 6224.52659375
transcript.pyannote[842].end 6224.57721875
transcript.pyannote[843].speaker SPEAKER_46
transcript.pyannote[843].start 6224.61096875
transcript.pyannote[843].end 6224.79659375
transcript.pyannote[844].speaker SPEAKER_29
transcript.pyannote[844].start 6224.79659375
transcript.pyannote[844].end 6238.44846875
transcript.pyannote[845].speaker SPEAKER_46
transcript.pyannote[845].start 6224.81346875
transcript.pyannote[845].end 6224.89784375
transcript.pyannote[846].speaker SPEAKER_47
transcript.pyannote[846].start 6237.68909375
transcript.pyannote[846].end 6238.56659375
transcript.pyannote[847].speaker SPEAKER_29
transcript.pyannote[847].start 6238.56659375
transcript.pyannote[847].end 6241.45221875
transcript.pyannote[848].speaker SPEAKER_47
transcript.pyannote[848].start 6238.63409375
transcript.pyannote[848].end 6239.64659375
transcript.pyannote[849].speaker SPEAKER_47
transcript.pyannote[849].start 6239.73096875
transcript.pyannote[849].end 6243.34221875
transcript.pyannote[850].speaker SPEAKER_47
transcript.pyannote[850].start 6243.81471875
transcript.pyannote[850].end 6257.97284375
transcript.pyannote[851].speaker SPEAKER_29
transcript.pyannote[851].start 6257.97284375
transcript.pyannote[851].end 6276.36659375
transcript.pyannote[852].speaker SPEAKER_47
transcript.pyannote[852].start 6276.36659375
transcript.pyannote[852].end 6276.73784375
transcript.pyannote[853].speaker SPEAKER_29
transcript.pyannote[853].start 6276.73784375
transcript.pyannote[853].end 6281.63159375
transcript.pyannote[854].speaker SPEAKER_47
transcript.pyannote[854].start 6280.77096875
transcript.pyannote[854].end 6285.37784375
transcript.pyannote[855].speaker SPEAKER_29
transcript.pyannote[855].start 6286.20471875
transcript.pyannote[855].end 6286.76159375
transcript.pyannote[856].speaker SPEAKER_47
transcript.pyannote[856].start 6286.76159375
transcript.pyannote[856].end 6286.93034375
transcript.pyannote[857].speaker SPEAKER_47
transcript.pyannote[857].start 6287.21721875
transcript.pyannote[857].end 6288.92159375
transcript.pyannote[858].speaker SPEAKER_29
transcript.pyannote[858].start 6288.17909375
transcript.pyannote[858].end 6290.03534375
transcript.pyannote[859].speaker SPEAKER_47
transcript.pyannote[859].start 6290.03534375
transcript.pyannote[859].end 6290.57534375
transcript.pyannote[860].speaker SPEAKER_29
transcript.pyannote[860].start 6290.13659375
transcript.pyannote[860].end 6293.96721875
transcript.pyannote[861].speaker SPEAKER_47
transcript.pyannote[861].start 6294.30471875
transcript.pyannote[861].end 6297.13971875
transcript.pyannote[862].speaker SPEAKER_29
transcript.pyannote[862].start 6297.13971875
transcript.pyannote[862].end 6301.91534375
transcript.pyannote[863].speaker SPEAKER_47
transcript.pyannote[863].start 6297.15659375
transcript.pyannote[863].end 6297.46034375
transcript.pyannote[864].speaker SPEAKER_47
transcript.pyannote[864].start 6298.40534375
transcript.pyannote[864].end 6298.89471875
transcript.pyannote[865].speaker SPEAKER_47
transcript.pyannote[865].start 6301.00409375
transcript.pyannote[865].end 6319.97159375
transcript.pyannote[866].speaker SPEAKER_29
transcript.pyannote[866].start 6302.82659375
transcript.pyannote[866].end 6303.24846875
transcript.pyannote[867].speaker SPEAKER_46
transcript.pyannote[867].start 6311.55096875
transcript.pyannote[867].end 6311.87159375
transcript.pyannote[868].speaker SPEAKER_46
transcript.pyannote[868].start 6313.62659375
transcript.pyannote[868].end 6313.96409375
transcript.pyannote[869].speaker SPEAKER_48
transcript.pyannote[869].start 6313.96409375
transcript.pyannote[869].end 6314.03159375
transcript.pyannote[870].speaker SPEAKER_46
transcript.pyannote[870].start 6315.75284375
transcript.pyannote[870].end 6315.76971875
transcript.pyannote[871].speaker SPEAKER_48
transcript.pyannote[871].start 6315.76971875
transcript.pyannote[871].end 6316.14096875
transcript.pyannote[872].speaker SPEAKER_48
transcript.pyannote[872].start 6319.97159375
transcript.pyannote[872].end 6320.78159375
transcript.pyannote[873].speaker SPEAKER_47
transcript.pyannote[873].start 6320.15721875
transcript.pyannote[873].end 6322.33409375
transcript.pyannote[874].speaker SPEAKER_47
transcript.pyannote[874].start 6322.45221875
transcript.pyannote[874].end 6340.49159375
transcript.pyannote[875].speaker SPEAKER_00
transcript.pyannote[875].start 6338.17971875
transcript.pyannote[875].end 6338.24721875
transcript.pyannote[876].speaker SPEAKER_47
transcript.pyannote[876].start 6341.77409375
transcript.pyannote[876].end 6342.90471875
transcript.pyannote[877].speaker SPEAKER_47
transcript.pyannote[877].start 6344.17034375
transcript.pyannote[877].end 6345.14909375
transcript.pyannote[878].speaker SPEAKER_47
transcript.pyannote[878].start 6345.60471875
transcript.pyannote[878].end 6347.32596875
transcript.pyannote[879].speaker SPEAKER_47
transcript.pyannote[879].start 6348.00096875
transcript.pyannote[879].end 6349.16534375
transcript.pyannote[880].speaker SPEAKER_46
transcript.pyannote[880].start 6349.16534375
transcript.pyannote[880].end 6349.55346875
transcript.pyannote[881].speaker SPEAKER_47
transcript.pyannote[881].start 6349.68846875
transcript.pyannote[881].end 6350.11034375
transcript.pyannote[882].speaker SPEAKER_47
transcript.pyannote[882].start 6350.51534375
transcript.pyannote[882].end 6351.17346875
transcript.pyannote[883].speaker SPEAKER_47
transcript.pyannote[883].start 6352.47284375
transcript.pyannote[883].end 6357.36659375
transcript.pyannote[884].speaker SPEAKER_47
transcript.pyannote[884].start 6357.68721875
transcript.pyannote[884].end 6363.00284375
transcript.pyannote[885].speaker SPEAKER_46
transcript.pyannote[885].start 6363.00284375
transcript.pyannote[885].end 6363.42471875
transcript.pyannote[886].speaker SPEAKER_47
transcript.pyannote[886].start 6363.34034375
transcript.pyannote[886].end 6366.09096875
transcript.pyannote[887].speaker SPEAKER_47
transcript.pyannote[887].start 6366.39471875
transcript.pyannote[887].end 6369.53346875
transcript.pyannote[888].speaker SPEAKER_47
transcript.pyannote[888].start 6370.02284375
transcript.pyannote[888].end 6385.73346875
transcript.pyannote[889].speaker SPEAKER_46
transcript.pyannote[889].start 6385.73346875
transcript.pyannote[889].end 6385.83471875
transcript.pyannote[890].speaker SPEAKER_47
transcript.pyannote[890].start 6385.83471875
transcript.pyannote[890].end 6393.88409375
transcript.pyannote[891].speaker SPEAKER_47
transcript.pyannote[891].start 6394.71096875
transcript.pyannote[891].end 6399.43596875
transcript.pyannote[892].speaker SPEAKER_29
transcript.pyannote[892].start 6399.43596875
transcript.pyannote[892].end 6399.48659375
transcript.pyannote[893].speaker SPEAKER_29
transcript.pyannote[893].start 6400.70159375
transcript.pyannote[893].end 6408.34596875
transcript.pyannote[894].speaker SPEAKER_47
transcript.pyannote[894].start 6408.34596875
transcript.pyannote[894].end 6408.43034375
transcript.pyannote[895].speaker SPEAKER_29
transcript.pyannote[895].start 6408.43034375
transcript.pyannote[895].end 6411.23159375
transcript.pyannote[896].speaker SPEAKER_47
transcript.pyannote[896].start 6408.59909375
transcript.pyannote[896].end 6409.20659375
transcript.pyannote[897].speaker SPEAKER_47
transcript.pyannote[897].start 6411.23159375
transcript.pyannote[897].end 6428.68034375
transcript.pyannote[898].speaker SPEAKER_29
transcript.pyannote[898].start 6416.34471875
transcript.pyannote[898].end 6416.39534375
transcript.pyannote[899].speaker SPEAKER_29
transcript.pyannote[899].start 6416.56409375
transcript.pyannote[899].end 6416.66534375
transcript.pyannote[900].speaker SPEAKER_47
transcript.pyannote[900].start 6429.59159375
transcript.pyannote[900].end 6430.23284375
transcript.pyannote[901].speaker SPEAKER_46
transcript.pyannote[901].start 6430.23284375
transcript.pyannote[901].end 6430.51971875
transcript.pyannote[902].speaker SPEAKER_46
transcript.pyannote[902].start 6430.73909375
transcript.pyannote[902].end 6431.07659375
transcript.pyannote[903].speaker SPEAKER_47
transcript.pyannote[903].start 6431.51534375
transcript.pyannote[903].end 6436.34159375
transcript.pyannote[904].speaker SPEAKER_46
transcript.pyannote[904].start 6436.29096875
transcript.pyannote[904].end 6436.30784375
transcript.pyannote[905].speaker SPEAKER_46
transcript.pyannote[905].start 6436.34159375
transcript.pyannote[905].end 6436.54409375
transcript.pyannote[906].speaker SPEAKER_47
transcript.pyannote[906].start 6436.99971875
transcript.pyannote[906].end 6438.06284375
transcript.pyannote[907].speaker SPEAKER_47
transcript.pyannote[907].start 6438.43409375
transcript.pyannote[907].end 6442.19721875
transcript.pyannote[908].speaker SPEAKER_47
transcript.pyannote[908].start 6442.24784375
transcript.pyannote[908].end 6443.04096875
transcript.pyannote[909].speaker SPEAKER_46
transcript.pyannote[909].start 6442.39971875
transcript.pyannote[909].end 6442.63596875
transcript.pyannote[910].speaker SPEAKER_47
transcript.pyannote[910].start 6443.29409375
transcript.pyannote[910].end 6449.31846875
transcript.pyannote[911].speaker SPEAKER_29
transcript.pyannote[911].start 6446.83784375
transcript.pyannote[911].end 6448.42409375
transcript.pyannote[912].speaker SPEAKER_29
transcript.pyannote[912].start 6448.49159375
transcript.pyannote[912].end 6465.75471875
transcript.pyannote[913].speaker SPEAKER_47
transcript.pyannote[913].start 6454.31346875
transcript.pyannote[913].end 6455.89971875
transcript.pyannote[914].speaker SPEAKER_47
transcript.pyannote[914].start 6464.75909375
transcript.pyannote[914].end 6468.18471875
transcript.pyannote[915].speaker SPEAKER_29
transcript.pyannote[915].start 6467.47596875
transcript.pyannote[915].end 6470.41221875
transcript.pyannote[916].speaker SPEAKER_47
transcript.pyannote[916].start 6469.14659375
transcript.pyannote[916].end 6521.57721875
transcript.pyannote[917].speaker SPEAKER_46
transcript.pyannote[917].start 6495.91034375
transcript.pyannote[917].end 6497.14221875
transcript.pyannote[918].speaker SPEAKER_29
transcript.pyannote[918].start 6519.31596875
transcript.pyannote[918].end 6519.85596875
transcript.pyannote[919].speaker SPEAKER_29
transcript.pyannote[919].start 6520.24409375
transcript.pyannote[919].end 6525.22221875
transcript.pyannote[920].speaker SPEAKER_07
transcript.pyannote[920].start 6529.86284375
transcript.pyannote[920].end 6531.58409375
transcript.pyannote[921].speaker SPEAKER_07
transcript.pyannote[921].start 6533.59221875
transcript.pyannote[921].end 6535.53284375
transcript.pyannote[922].speaker SPEAKER_33
transcript.pyannote[922].start 6541.62471875
transcript.pyannote[922].end 6542.75534375
transcript.pyannote[923].speaker SPEAKER_33
transcript.pyannote[923].start 6542.87346875
transcript.pyannote[923].end 6545.47221875
transcript.pyannote[924].speaker SPEAKER_07
transcript.pyannote[924].start 6545.59034375
transcript.pyannote[924].end 6546.60284375
transcript.pyannote[925].speaker SPEAKER_33
transcript.pyannote[925].start 6546.68721875
transcript.pyannote[925].end 6547.42971875
transcript.pyannote[926].speaker SPEAKER_33
transcript.pyannote[926].start 6547.95284375
transcript.pyannote[926].end 6549.10034375
transcript.pyannote[927].speaker SPEAKER_07
transcript.pyannote[927].start 6549.42096875
transcript.pyannote[927].end 6550.48409375
transcript.pyannote[928].speaker SPEAKER_33
transcript.pyannote[928].start 6550.39971875
transcript.pyannote[928].end 6551.54721875
transcript.pyannote[929].speaker SPEAKER_33
transcript.pyannote[929].start 6551.93534375
transcript.pyannote[929].end 6553.47096875
transcript.pyannote[930].speaker SPEAKER_07
transcript.pyannote[930].start 6553.57221875
transcript.pyannote[930].end 6554.61846875
transcript.pyannote[931].speaker SPEAKER_33
transcript.pyannote[931].start 6554.06159375
transcript.pyannote[931].end 6556.05284375
transcript.pyannote[932].speaker SPEAKER_07
transcript.pyannote[932].start 6556.18784375
transcript.pyannote[932].end 6557.35221875
transcript.pyannote[933].speaker SPEAKER_33
transcript.pyannote[933].start 6565.21596875
transcript.pyannote[933].end 6565.58721875
transcript.pyannote[934].speaker SPEAKER_33
transcript.pyannote[934].start 6566.31284375
transcript.pyannote[934].end 6566.76846875
transcript.pyannote[935].speaker SPEAKER_33
transcript.pyannote[935].start 6566.90346875
transcript.pyannote[935].end 6567.89909375
transcript.pyannote[936].speaker SPEAKER_39
transcript.pyannote[936].start 6567.44346875
transcript.pyannote[936].end 6568.06784375
transcript.pyannote[937].speaker SPEAKER_33
transcript.pyannote[937].start 6568.52346875
transcript.pyannote[937].end 6571.49346875
transcript.pyannote[938].speaker SPEAKER_33
transcript.pyannote[938].start 6571.54409375
transcript.pyannote[938].end 6579.39096875
transcript.pyannote[939].speaker SPEAKER_43
transcript.pyannote[939].start 6579.52596875
transcript.pyannote[939].end 6579.84659375
transcript.pyannote[940].speaker SPEAKER_33
transcript.pyannote[940].start 6579.84659375
transcript.pyannote[940].end 6581.28096875
transcript.pyannote[941].speaker SPEAKER_33
transcript.pyannote[941].start 6581.68596875
transcript.pyannote[941].end 6583.60971875
transcript.pyannote[942].speaker SPEAKER_33
transcript.pyannote[942].start 6583.84596875
transcript.pyannote[942].end 6585.58409375
transcript.pyannote[943].speaker SPEAKER_33
transcript.pyannote[943].start 6586.09034375
transcript.pyannote[943].end 6589.00971875
transcript.pyannote[944].speaker SPEAKER_33
transcript.pyannote[944].start 6589.38096875
transcript.pyannote[944].end 6602.18909375
transcript.pyannote[945].speaker SPEAKER_33
transcript.pyannote[945].start 6603.03284375
transcript.pyannote[945].end 6604.06221875
transcript.pyannote[946].speaker SPEAKER_33
transcript.pyannote[946].start 6604.14659375
transcript.pyannote[946].end 6607.85909375
transcript.pyannote[947].speaker SPEAKER_33
transcript.pyannote[947].start 6608.78721875
transcript.pyannote[947].end 6609.61409375
transcript.pyannote[948].speaker SPEAKER_39
transcript.pyannote[948].start 6610.62659375
transcript.pyannote[948].end 6610.94721875
transcript.pyannote[949].speaker SPEAKER_39
transcript.pyannote[949].start 6612.04409375
transcript.pyannote[949].end 6612.97221875
transcript.pyannote[950].speaker SPEAKER_24
transcript.pyannote[950].start 6612.60096875
transcript.pyannote[950].end 6612.61784375
transcript.pyannote[951].speaker SPEAKER_24
transcript.pyannote[951].start 6612.85409375
transcript.pyannote[951].end 6612.90471875
transcript.pyannote[952].speaker SPEAKER_33
transcript.pyannote[952].start 6612.90471875
transcript.pyannote[952].end 6613.29284375
transcript.pyannote[953].speaker SPEAKER_24
transcript.pyannote[953].start 6612.97221875
transcript.pyannote[953].end 6618.72659375
transcript.pyannote[954].speaker SPEAKER_39
transcript.pyannote[954].start 6613.29284375
transcript.pyannote[954].end 6613.34346875
transcript.pyannote[955].speaker SPEAKER_39
transcript.pyannote[955].start 6613.61346875
transcript.pyannote[955].end 6613.84971875
transcript.pyannote[956].speaker SPEAKER_33
transcript.pyannote[956].start 6613.84971875
transcript.pyannote[956].end 6614.65971875
transcript.pyannote[957].speaker SPEAKER_33
transcript.pyannote[957].start 6615.57096875
transcript.pyannote[957].end 6616.41471875
transcript.pyannote[958].speaker SPEAKER_33
transcript.pyannote[958].start 6617.35971875
transcript.pyannote[958].end 6617.76471875
transcript.pyannote[959].speaker SPEAKER_33
transcript.pyannote[959].start 6619.31721875
transcript.pyannote[959].end 6623.90721875
transcript.pyannote[960].speaker SPEAKER_33
transcript.pyannote[960].start 6624.70034375
transcript.pyannote[960].end 6625.62846875
transcript.pyannote[961].speaker SPEAKER_33
transcript.pyannote[961].start 6626.26971875
transcript.pyannote[961].end 6627.72096875
transcript.pyannote[962].speaker SPEAKER_33
transcript.pyannote[962].start 6628.36221875
transcript.pyannote[962].end 6633.01971875
transcript.pyannote[963].speaker SPEAKER_33
transcript.pyannote[963].start 6633.89721875
transcript.pyannote[963].end 6634.85909375
transcript.pyannote[964].speaker SPEAKER_33
transcript.pyannote[964].start 6635.55096875
transcript.pyannote[964].end 6636.46221875
transcript.pyannote[965].speaker SPEAKER_33
transcript.pyannote[965].start 6636.81659375
transcript.pyannote[965].end 6638.11596875
transcript.pyannote[966].speaker SPEAKER_33
transcript.pyannote[966].start 6638.62221875
transcript.pyannote[966].end 6640.17471875
transcript.pyannote[967].speaker SPEAKER_33
transcript.pyannote[967].start 6641.55846875
transcript.pyannote[967].end 6643.95471875
transcript.pyannote[968].speaker SPEAKER_33
transcript.pyannote[968].start 6644.20784375
transcript.pyannote[968].end 6644.73096875
transcript.pyannote[969].speaker SPEAKER_33
transcript.pyannote[969].start 6645.91221875
transcript.pyannote[969].end 6646.85721875
transcript.pyannote[970].speaker SPEAKER_33
transcript.pyannote[970].start 6647.92034375
transcript.pyannote[970].end 6651.02534375
transcript.pyannote[971].speaker SPEAKER_33
transcript.pyannote[971].start 6651.64971875
transcript.pyannote[971].end 6652.96596875
transcript.pyannote[972].speaker SPEAKER_33
transcript.pyannote[972].start 6653.60721875
transcript.pyannote[972].end 6654.01221875
transcript.pyannote[973].speaker SPEAKER_39
transcript.pyannote[973].start 6654.26534375
transcript.pyannote[973].end 6654.55221875
transcript.pyannote[974].speaker SPEAKER_33
transcript.pyannote[974].start 6655.41284375
transcript.pyannote[974].end 6656.02034375
transcript.pyannote[975].speaker SPEAKER_33
transcript.pyannote[975].start 6656.13846875
transcript.pyannote[975].end 6658.01159375
transcript.pyannote[976].speaker SPEAKER_33
transcript.pyannote[976].start 6659.41221875
transcript.pyannote[976].end 6660.54284375
transcript.pyannote[977].speaker SPEAKER_33
transcript.pyannote[977].start 6661.52159375
transcript.pyannote[977].end 6662.82096875
transcript.pyannote[978].speaker SPEAKER_33
transcript.pyannote[978].start 6663.05721875
transcript.pyannote[978].end 6664.03596875
transcript.pyannote[979].speaker SPEAKER_33
transcript.pyannote[979].start 6665.50409375
transcript.pyannote[979].end 6666.28034375
transcript.pyannote[980].speaker SPEAKER_33
transcript.pyannote[980].start 6667.22534375
transcript.pyannote[980].end 6670.02659375
transcript.pyannote[981].speaker SPEAKER_33
transcript.pyannote[981].start 6671.07284375
transcript.pyannote[981].end 6673.35096875
transcript.pyannote[982].speaker SPEAKER_33
transcript.pyannote[982].start 6673.85721875
transcript.pyannote[982].end 6675.02159375
transcript.pyannote[983].speaker SPEAKER_33
transcript.pyannote[983].start 6676.84409375
transcript.pyannote[983].end 6681.45096875
transcript.pyannote[984].speaker SPEAKER_33
transcript.pyannote[984].start 6682.07534375
transcript.pyannote[984].end 6684.21846875
transcript.pyannote[985].speaker SPEAKER_33
transcript.pyannote[985].start 6685.18034375
transcript.pyannote[985].end 6686.71596875
transcript.pyannote[986].speaker SPEAKER_33
transcript.pyannote[986].start 6687.00284375
transcript.pyannote[986].end 6689.02784375
transcript.pyannote[987].speaker SPEAKER_33
transcript.pyannote[987].start 6689.12909375
transcript.pyannote[987].end 6690.54659375
transcript.pyannote[988].speaker SPEAKER_33
transcript.pyannote[988].start 6691.10346875
transcript.pyannote[988].end 6693.56721875
transcript.pyannote[989].speaker SPEAKER_33
transcript.pyannote[989].start 6693.82034375
transcript.pyannote[989].end 6694.51221875
transcript.pyannote[990].speaker SPEAKER_33
transcript.pyannote[990].start 6695.08596875
transcript.pyannote[990].end 6696.65534375
transcript.pyannote[991].speaker SPEAKER_33
transcript.pyannote[991].start 6699.08534375
transcript.pyannote[991].end 6700.80659375
transcript.pyannote[992].speaker SPEAKER_33
transcript.pyannote[992].start 6702.22409375
transcript.pyannote[992].end 6703.48971875
transcript.pyannote[993].speaker SPEAKER_33
transcript.pyannote[993].start 6704.23221875
transcript.pyannote[993].end 6705.34596875
transcript.pyannote[994].speaker SPEAKER_33
transcript.pyannote[994].start 6705.93659375
transcript.pyannote[994].end 6707.18534375
transcript.pyannote[995].speaker SPEAKER_33
transcript.pyannote[995].start 6707.59034375
transcript.pyannote[995].end 6709.36221875
transcript.pyannote[996].speaker SPEAKER_49
transcript.pyannote[996].start 6710.66159375
transcript.pyannote[996].end 6711.08346875
transcript.pyannote[997].speaker SPEAKER_49
transcript.pyannote[997].start 6711.89346875
transcript.pyannote[997].end 6721.95096875
transcript.pyannote[998].speaker SPEAKER_49
transcript.pyannote[998].start 6722.15346875
transcript.pyannote[998].end 6723.97596875
transcript.pyannote[999].speaker SPEAKER_33
transcript.pyannote[999].start 6723.97596875
transcript.pyannote[999].end 6727.80659375
transcript.pyannote[1000].speaker SPEAKER_33
transcript.pyannote[1000].start 6728.05971875
transcript.pyannote[1000].end 6728.78534375
transcript.pyannote[1001].speaker SPEAKER_33
transcript.pyannote[1001].start 6729.54471875
transcript.pyannote[1001].end 6730.13534375
transcript.pyannote[1002].speaker SPEAKER_33
transcript.pyannote[1002].start 6730.35471875
transcript.pyannote[1002].end 6731.01284375
transcript.pyannote[1003].speaker SPEAKER_49
transcript.pyannote[1003].start 6731.95784375
transcript.pyannote[1003].end 6743.66909375
transcript.pyannote[1004].speaker SPEAKER_33
transcript.pyannote[1004].start 6740.78346875
transcript.pyannote[1004].end 6742.74096875
transcript.pyannote[1005].speaker SPEAKER_33
transcript.pyannote[1005].start 6743.66909375
transcript.pyannote[1005].end 6758.70471875
transcript.pyannote[1006].speaker SPEAKER_46
transcript.pyannote[1006].start 6749.25471875
transcript.pyannote[1006].end 6749.42346875
transcript.pyannote[1007].speaker SPEAKER_33
transcript.pyannote[1007].start 6759.61596875
transcript.pyannote[1007].end 6763.69971875
transcript.pyannote[1008].speaker SPEAKER_33
transcript.pyannote[1008].start 6764.44221875
transcript.pyannote[1008].end 6765.21846875
transcript.pyannote[1009].speaker SPEAKER_33
transcript.pyannote[1009].start 6765.53909375
transcript.pyannote[1009].end 6766.09596875
transcript.pyannote[1010].speaker SPEAKER_39
transcript.pyannote[1010].start 6765.84284375
transcript.pyannote[1010].end 6767.41221875
transcript.pyannote[1011].speaker SPEAKER_33
transcript.pyannote[1011].start 6767.02409375
transcript.pyannote[1011].end 6778.29659375
transcript.pyannote[1012].speaker SPEAKER_46
transcript.pyannote[1012].start 6775.39409375
transcript.pyannote[1012].end 6775.46159375
transcript.pyannote[1013].speaker SPEAKER_33
transcript.pyannote[1013].start 6778.49909375
transcript.pyannote[1013].end 6781.99221875
transcript.pyannote[1014].speaker SPEAKER_29
transcript.pyannote[1014].start 6780.03471875
transcript.pyannote[1014].end 6803.55846875
transcript.pyannote[1015].speaker SPEAKER_33
transcript.pyannote[1015].start 6787.10534375
transcript.pyannote[1015].end 6787.32471875
transcript.pyannote[1016].speaker SPEAKER_33
transcript.pyannote[1016].start 6803.84534375
transcript.pyannote[1016].end 6811.91159375
transcript.pyannote[1017].speaker SPEAKER_24
transcript.pyannote[1017].start 6808.11471875
transcript.pyannote[1017].end 6822.69471875
transcript.pyannote[1018].speaker SPEAKER_33
transcript.pyannote[1018].start 6813.78471875
transcript.pyannote[1018].end 6815.55659375
transcript.pyannote[1019].speaker SPEAKER_33
transcript.pyannote[1019].start 6816.11346875
transcript.pyannote[1019].end 6818.03721875
transcript.pyannote[1020].speaker SPEAKER_29
transcript.pyannote[1020].start 6818.03721875
transcript.pyannote[1020].end 6818.35784375
transcript.pyannote[1021].speaker SPEAKER_33
transcript.pyannote[1021].start 6818.35784375
transcript.pyannote[1021].end 6818.64471875
transcript.pyannote[1022].speaker SPEAKER_33
transcript.pyannote[1022].start 6822.22221875
transcript.pyannote[1022].end 6822.23909375
transcript.pyannote[1023].speaker SPEAKER_29
transcript.pyannote[1023].start 6822.23909375
transcript.pyannote[1023].end 6829.27596875
transcript.pyannote[1024].speaker SPEAKER_33
transcript.pyannote[1024].start 6829.27596875
transcript.pyannote[1024].end 6829.69784375
transcript.pyannote[1025].speaker SPEAKER_33
transcript.pyannote[1025].start 6830.17034375
transcript.pyannote[1025].end 6835.23284375
transcript.pyannote[1026].speaker SPEAKER_29
transcript.pyannote[1026].start 6830.38971875
transcript.pyannote[1026].end 6830.57534375
transcript.pyannote[1027].speaker SPEAKER_29
transcript.pyannote[1027].start 6835.92471875
transcript.pyannote[1027].end 6837.39284375
transcript.pyannote[1028].speaker SPEAKER_33
transcript.pyannote[1028].start 6835.97534375
transcript.pyannote[1028].end 6836.29596875
transcript.pyannote[1029].speaker SPEAKER_33
transcript.pyannote[1029].start 6836.88659375
transcript.pyannote[1029].end 6837.47721875
transcript.pyannote[1030].speaker SPEAKER_29
transcript.pyannote[1030].start 6837.47721875
transcript.pyannote[1030].end 6837.52784375
transcript.pyannote[1031].speaker SPEAKER_33
transcript.pyannote[1031].start 6837.52784375
transcript.pyannote[1031].end 6840.88596875
transcript.pyannote[1032].speaker SPEAKER_29
transcript.pyannote[1032].start 6837.79784375
transcript.pyannote[1032].end 6840.41346875
transcript.pyannote[1033].speaker SPEAKER_29
transcript.pyannote[1033].start 6840.88596875
transcript.pyannote[1033].end 6858.41909375
transcript.pyannote[1034].speaker SPEAKER_33
transcript.pyannote[1034].start 6848.90159375
transcript.pyannote[1034].end 6850.80846875
transcript.pyannote[1035].speaker SPEAKER_33
transcript.pyannote[1035].start 6857.50784375
transcript.pyannote[1035].end 6858.28409375
transcript.pyannote[1036].speaker SPEAKER_29
transcript.pyannote[1036].start 6858.58784375
transcript.pyannote[1036].end 6859.56659375
transcript.pyannote[1037].speaker SPEAKER_29
transcript.pyannote[1037].start 6859.90409375
transcript.pyannote[1037].end 6860.00534375
transcript.pyannote[1038].speaker SPEAKER_33
transcript.pyannote[1038].start 6860.00534375
transcript.pyannote[1038].end 6860.20784375
transcript.pyannote[1039].speaker SPEAKER_29
transcript.pyannote[1039].start 6860.20784375
transcript.pyannote[1039].end 6860.51159375
transcript.pyannote[1040].speaker SPEAKER_33
transcript.pyannote[1040].start 6860.51159375
transcript.pyannote[1040].end 6860.74784375
transcript.pyannote[1041].speaker SPEAKER_29
transcript.pyannote[1041].start 6860.74784375
transcript.pyannote[1041].end 6862.28346875
transcript.pyannote[1042].speaker SPEAKER_33
transcript.pyannote[1042].start 6860.76471875
transcript.pyannote[1042].end 6860.78159375
transcript.pyannote[1043].speaker SPEAKER_39
transcript.pyannote[1043].start 6860.78159375
transcript.pyannote[1043].end 6866.40096875
transcript.pyannote[1044].speaker SPEAKER_24
transcript.pyannote[1044].start 6862.28346875
transcript.pyannote[1044].end 6863.81909375
transcript.pyannote[1045].speaker SPEAKER_29
transcript.pyannote[1045].start 6863.81909375
transcript.pyannote[1045].end 6863.83596875
transcript.pyannote[1046].speaker SPEAKER_29
transcript.pyannote[1046].start 6864.51096875
transcript.pyannote[1046].end 6864.52784375
transcript.pyannote[1047].speaker SPEAKER_24
transcript.pyannote[1047].start 6864.52784375
transcript.pyannote[1047].end 6866.55284375
transcript.pyannote[1048].speaker SPEAKER_24
transcript.pyannote[1048].start 6866.75534375
transcript.pyannote[1048].end 6874.50096875
transcript.pyannote[1049].speaker SPEAKER_33
transcript.pyannote[1049].start 6872.77971875
transcript.pyannote[1049].end 6876.13784375
transcript.pyannote[1050].speaker SPEAKER_24
transcript.pyannote[1050].start 6874.53471875
transcript.pyannote[1050].end 6874.55159375
transcript.pyannote[1051].speaker SPEAKER_33
transcript.pyannote[1051].start 6876.82971875
transcript.pyannote[1051].end 6876.86346875
transcript.pyannote[1052].speaker SPEAKER_33
transcript.pyannote[1052].start 6877.08284375
transcript.pyannote[1052].end 6877.09971875
transcript.pyannote[1053].speaker SPEAKER_24
transcript.pyannote[1053].start 6877.09971875
transcript.pyannote[1053].end 6879.47909375
transcript.pyannote[1054].speaker SPEAKER_29
transcript.pyannote[1054].start 6877.60596875
transcript.pyannote[1054].end 6882.80346875
transcript.pyannote[1055].speaker SPEAKER_33
transcript.pyannote[1055].start 6880.93034375
transcript.pyannote[1055].end 6880.94721875
transcript.pyannote[1056].speaker SPEAKER_24
transcript.pyannote[1056].start 6880.94721875
transcript.pyannote[1056].end 6882.12846875
transcript.pyannote[1057].speaker SPEAKER_29
transcript.pyannote[1057].start 6883.03971875
transcript.pyannote[1057].end 6884.00159375
transcript.pyannote[1058].speaker SPEAKER_24
transcript.pyannote[1058].start 6883.12409375
transcript.pyannote[1058].end 6890.49846875
transcript.pyannote[1059].speaker SPEAKER_33
transcript.pyannote[1059].start 6890.88659375
transcript.pyannote[1059].end 6892.00034375
transcript.pyannote[1060].speaker SPEAKER_33
transcript.pyannote[1060].start 6892.64159375
transcript.pyannote[1060].end 6894.09284375
transcript.pyannote[1061].speaker SPEAKER_33
transcript.pyannote[1061].start 6895.25721875
transcript.pyannote[1061].end 6906.56346875
transcript.pyannote[1062].speaker SPEAKER_46
transcript.pyannote[1062].start 6903.03659375
transcript.pyannote[1062].end 6903.49221875
transcript.pyannote[1063].speaker SPEAKER_33
transcript.pyannote[1063].start 6906.58034375
transcript.pyannote[1063].end 6906.64784375
transcript.pyannote[1064].speaker SPEAKER_46
transcript.pyannote[1064].start 6906.64784375
transcript.pyannote[1064].end 6906.88409375
transcript.pyannote[1065].speaker SPEAKER_33
transcript.pyannote[1065].start 6906.69846875
transcript.pyannote[1065].end 6906.79971875
transcript.pyannote[1066].speaker SPEAKER_33
transcript.pyannote[1066].start 6906.88409375
transcript.pyannote[1066].end 6908.23409375
transcript.pyannote[1067].speaker SPEAKER_46
transcript.pyannote[1067].start 6906.98534375
transcript.pyannote[1067].end 6907.44096875
transcript.pyannote[1068].speaker SPEAKER_33
transcript.pyannote[1068].start 6908.87534375
transcript.pyannote[1068].end 6908.89221875
transcript.pyannote[1069].speaker SPEAKER_46
transcript.pyannote[1069].start 6908.89221875
transcript.pyannote[1069].end 6908.97659375
transcript.pyannote[1070].speaker SPEAKER_33
transcript.pyannote[1070].start 6908.97659375
transcript.pyannote[1070].end 6912.72284375
transcript.pyannote[1071].speaker SPEAKER_33
transcript.pyannote[1071].start 6913.27971875
transcript.pyannote[1071].end 6918.61221875
transcript.pyannote[1072].speaker SPEAKER_33
transcript.pyannote[1072].start 6919.20284375
transcript.pyannote[1072].end 6924.77159375
transcript.pyannote[1073].speaker SPEAKER_33
transcript.pyannote[1073].start 6925.15971875
transcript.pyannote[1073].end 6941.69721875
transcript.pyannote[1074].speaker SPEAKER_46
transcript.pyannote[1074].start 6927.08346875
transcript.pyannote[1074].end 6927.23534375
transcript.pyannote[1075].speaker SPEAKER_49
transcript.pyannote[1075].start 6936.33096875
transcript.pyannote[1075].end 6937.32659375
transcript.pyannote[1076].speaker SPEAKER_49
transcript.pyannote[1076].start 6942.35534375
transcript.pyannote[1076].end 6942.59159375
transcript.pyannote[1077].speaker SPEAKER_33
transcript.pyannote[1077].start 6942.59159375
transcript.pyannote[1077].end 6943.46909375
transcript.pyannote[1078].speaker SPEAKER_49
transcript.pyannote[1078].start 6942.82784375
transcript.pyannote[1078].end 6942.89534375
transcript.pyannote[1079].speaker SPEAKER_49
transcript.pyannote[1079].start 6943.46909375
transcript.pyannote[1079].end 6943.50284375
transcript.pyannote[1080].speaker SPEAKER_33
transcript.pyannote[1080].start 6943.50284375
transcript.pyannote[1080].end 6943.53659375
transcript.pyannote[1081].speaker SPEAKER_49
transcript.pyannote[1081].start 6943.53659375
transcript.pyannote[1081].end 6944.75159375
transcript.pyannote[1082].speaker SPEAKER_33
transcript.pyannote[1082].start 6946.01721875
transcript.pyannote[1082].end 6946.37159375
transcript.pyannote[1083].speaker SPEAKER_33
transcript.pyannote[1083].start 6947.13096875
transcript.pyannote[1083].end 6950.69159375
transcript.pyannote[1084].speaker SPEAKER_33
transcript.pyannote[1084].start 6951.78846875
transcript.pyannote[1084].end 6953.89784375
transcript.pyannote[1085].speaker SPEAKER_43
transcript.pyannote[1085].start 6955.46721875
transcript.pyannote[1085].end 6955.75409375
transcript.pyannote[1086].speaker SPEAKER_33
transcript.pyannote[1086].start 6956.22659375
transcript.pyannote[1086].end 6957.86346875
transcript.pyannote[1087].speaker SPEAKER_43
transcript.pyannote[1087].start 6958.01534375
transcript.pyannote[1087].end 6958.31909375
transcript.pyannote[1088].speaker SPEAKER_33
transcript.pyannote[1088].start 6958.52159375
transcript.pyannote[1088].end 6961.32284375
transcript.pyannote[1089].speaker SPEAKER_33
transcript.pyannote[1089].start 6961.89659375
transcript.pyannote[1089].end 6963.01034375
transcript.pyannote[1090].speaker SPEAKER_33
transcript.pyannote[1090].start 6963.70221875
transcript.pyannote[1090].end 6964.73159375
transcript.pyannote[1091].speaker SPEAKER_33
transcript.pyannote[1091].start 6967.14471875
transcript.pyannote[1091].end 6967.44846875
transcript.pyannote[1092].speaker SPEAKER_33
transcript.pyannote[1092].start 6967.63409375
transcript.pyannote[1092].end 6967.93784375
transcript.pyannote[1093].speaker SPEAKER_33
transcript.pyannote[1093].start 6968.34284375
transcript.pyannote[1093].end 6970.53659375
transcript.pyannote[1094].speaker SPEAKER_33
transcript.pyannote[1094].start 6971.24534375
transcript.pyannote[1094].end 6973.84409375
transcript.pyannote[1095].speaker SPEAKER_46
transcript.pyannote[1095].start 6974.21534375
transcript.pyannote[1095].end 6975.66659375
transcript.pyannote[1096].speaker SPEAKER_33
transcript.pyannote[1096].start 6974.77221875
transcript.pyannote[1096].end 6975.73409375
transcript.pyannote[1097].speaker SPEAKER_46
transcript.pyannote[1097].start 6975.73409375
transcript.pyannote[1097].end 6975.85221875
transcript.pyannote[1098].speaker SPEAKER_33
transcript.pyannote[1098].start 6976.49346875
transcript.pyannote[1098].end 6978.09659375
transcript.pyannote[1099].speaker SPEAKER_46
transcript.pyannote[1099].start 6978.45096875
transcript.pyannote[1099].end 6978.55221875
transcript.pyannote[1100].speaker SPEAKER_33
transcript.pyannote[1100].start 6978.55221875
transcript.pyannote[1100].end 6979.31159375
transcript.pyannote[1101].speaker SPEAKER_33
transcript.pyannote[1101].start 6979.54784375
transcript.pyannote[1101].end 6980.30721875
transcript.pyannote[1102].speaker SPEAKER_33
transcript.pyannote[1102].start 6980.72909375
transcript.pyannote[1102].end 6981.82596875
transcript.pyannote[1103].speaker SPEAKER_46
transcript.pyannote[1103].start 6981.82596875
transcript.pyannote[1103].end 6982.11284375
transcript.pyannote[1104].speaker SPEAKER_33
transcript.pyannote[1104].start 6982.29846875
transcript.pyannote[1104].end 6983.15909375
transcript.pyannote[1105].speaker SPEAKER_33
transcript.pyannote[1105].start 6983.66534375
transcript.pyannote[1105].end 6984.42471875
transcript.pyannote[1106].speaker SPEAKER_33
transcript.pyannote[1106].start 6985.16721875
transcript.pyannote[1106].end 6986.77034375
transcript.pyannote[1107].speaker SPEAKER_33
transcript.pyannote[1107].start 6987.95159375
transcript.pyannote[1107].end 6989.03159375
transcript.pyannote[1108].speaker SPEAKER_33
transcript.pyannote[1108].start 6989.38596875
transcript.pyannote[1108].end 6991.98471875
transcript.pyannote[1109].speaker SPEAKER_29
transcript.pyannote[1109].start 6992.82846875
transcript.pyannote[1109].end 6996.27096875
transcript.pyannote[1110].speaker SPEAKER_33
transcript.pyannote[1110].start 6993.33471875
transcript.pyannote[1110].end 6995.00534375
transcript.pyannote[1111].speaker SPEAKER_33
transcript.pyannote[1111].start 6996.27096875
transcript.pyannote[1111].end 6996.91221875
transcript.pyannote[1112].speaker SPEAKER_29
transcript.pyannote[1112].start 6996.30471875
transcript.pyannote[1112].end 6996.76034375
transcript.pyannote[1113].speaker SPEAKER_33
transcript.pyannote[1113].start 6997.72221875
transcript.pyannote[1113].end 6999.20721875
transcript.pyannote[1114].speaker SPEAKER_33
transcript.pyannote[1114].start 6999.32534375
transcript.pyannote[1114].end 6999.89909375
transcript.pyannote[1115].speaker SPEAKER_33
transcript.pyannote[1115].start 7000.79346875
transcript.pyannote[1115].end 7002.09284375
transcript.pyannote[1116].speaker SPEAKER_33
transcript.pyannote[1116].start 7002.66659375
transcript.pyannote[1116].end 7003.96596875
transcript.pyannote[1117].speaker SPEAKER_33
transcript.pyannote[1117].start 7004.52284375
transcript.pyannote[1117].end 7005.40034375
transcript.pyannote[1118].speaker SPEAKER_33
transcript.pyannote[1118].start 7006.26096875
transcript.pyannote[1118].end 7008.04971875
transcript.pyannote[1119].speaker SPEAKER_33
transcript.pyannote[1119].start 7009.01159375
transcript.pyannote[1119].end 7010.24346875
transcript.pyannote[1120].speaker SPEAKER_29
transcript.pyannote[1120].start 7010.41221875
transcript.pyannote[1120].end 7013.51721875
transcript.pyannote[1121].speaker SPEAKER_33
transcript.pyannote[1121].start 7013.88846875
transcript.pyannote[1121].end 7017.76971875
transcript.pyannote[1122].speaker SPEAKER_33
transcript.pyannote[1122].start 7018.10721875
transcript.pyannote[1122].end 7021.07721875
transcript.pyannote[1123].speaker SPEAKER_46
transcript.pyannote[1123].start 7021.14471875
transcript.pyannote[1123].end 7021.66784375
transcript.pyannote[1124].speaker SPEAKER_33
transcript.pyannote[1124].start 7022.32596875
transcript.pyannote[1124].end 7032.45096875
transcript.pyannote[1125].speaker SPEAKER_29
transcript.pyannote[1125].start 7025.02596875
transcript.pyannote[1125].end 7025.24534375
transcript.pyannote[1126].speaker SPEAKER_29
transcript.pyannote[1126].start 7026.59534375
transcript.pyannote[1126].end 7026.67971875
transcript.pyannote[1127].speaker SPEAKER_33
transcript.pyannote[1127].start 7033.05846875
transcript.pyannote[1127].end 7036.43346875
transcript.pyannote[1128].speaker SPEAKER_46
transcript.pyannote[1128].start 7036.48409375
transcript.pyannote[1128].end 7036.80471875
transcript.pyannote[1129].speaker SPEAKER_33
transcript.pyannote[1129].start 7036.88909375
transcript.pyannote[1129].end 7041.90096875
transcript.pyannote[1130].speaker SPEAKER_33
transcript.pyannote[1130].start 7042.76159375
transcript.pyannote[1130].end 7043.52096875
transcript.pyannote[1131].speaker SPEAKER_29
transcript.pyannote[1131].start 7043.52096875
transcript.pyannote[1131].end 7051.41846875
transcript.pyannote[1132].speaker SPEAKER_33
transcript.pyannote[1132].start 7051.41846875
transcript.pyannote[1132].end 7054.65846875
transcript.pyannote[1133].speaker SPEAKER_34
transcript.pyannote[1133].start 7055.62034375
transcript.pyannote[1133].end 7068.07409375
transcript.pyannote[1134].speaker SPEAKER_33
transcript.pyannote[1134].start 7063.43346875
transcript.pyannote[1134].end 7063.73721875
transcript.pyannote[1135].speaker SPEAKER_46
transcript.pyannote[1135].start 7063.80471875
transcript.pyannote[1135].end 7063.83846875
transcript.pyannote[1136].speaker SPEAKER_33
transcript.pyannote[1136].start 7067.36534375
transcript.pyannote[1136].end 7073.38971875
transcript.pyannote[1137].speaker SPEAKER_33
transcript.pyannote[1137].start 7074.46971875
transcript.pyannote[1137].end 7075.19534375
transcript.pyannote[1138].speaker SPEAKER_33
transcript.pyannote[1138].start 7075.87034375
transcript.pyannote[1138].end 7077.57471875
transcript.pyannote[1139].speaker SPEAKER_33
transcript.pyannote[1139].start 7077.89534375
transcript.pyannote[1139].end 7080.54471875
transcript.pyannote[1140].speaker SPEAKER_33
transcript.pyannote[1140].start 7081.82721875
transcript.pyannote[1140].end 7083.21096875
transcript.pyannote[1141].speaker SPEAKER_33
transcript.pyannote[1141].start 7083.97034375
transcript.pyannote[1141].end 7085.18534375
transcript.pyannote[1142].speaker SPEAKER_33
transcript.pyannote[1142].start 7086.80534375
transcript.pyannote[1142].end 7087.73346875
transcript.pyannote[1143].speaker SPEAKER_33
transcript.pyannote[1143].start 7088.32409375
transcript.pyannote[1143].end 7089.69096875
transcript.pyannote[1144].speaker SPEAKER_33
transcript.pyannote[1144].start 7090.18034375
transcript.pyannote[1144].end 7090.36596875
transcript.pyannote[1145].speaker SPEAKER_33
transcript.pyannote[1145].start 7091.12534375
transcript.pyannote[1145].end 7091.83409375
transcript.pyannote[1146].speaker SPEAKER_39
transcript.pyannote[1146].start 7091.83409375
transcript.pyannote[1146].end 7091.86784375
transcript.pyannote[1147].speaker SPEAKER_39
transcript.pyannote[1147].start 7092.28971875
transcript.pyannote[1147].end 7092.32346875
transcript.pyannote[1148].speaker SPEAKER_33
transcript.pyannote[1148].start 7092.32346875
transcript.pyannote[1148].end 7093.03221875
transcript.pyannote[1149].speaker SPEAKER_34
transcript.pyannote[1149].start 7093.03221875
transcript.pyannote[1149].end 7115.76284375
transcript.pyannote[1150].speaker SPEAKER_33
transcript.pyannote[1150].start 7093.04909375
transcript.pyannote[1150].end 7093.06596875
transcript.pyannote[1151].speaker SPEAKER_39
transcript.pyannote[1151].start 7093.06596875
transcript.pyannote[1151].end 7093.08284375
transcript.pyannote[1152].speaker SPEAKER_39
transcript.pyannote[1152].start 7097.80784375
transcript.pyannote[1152].end 7098.88784375
transcript.pyannote[1153].speaker SPEAKER_33
transcript.pyannote[1153].start 7110.76784375
transcript.pyannote[1153].end 7111.13909375
transcript.pyannote[1154].speaker SPEAKER_33
transcript.pyannote[1154].start 7115.89784375
transcript.pyannote[1154].end 7116.82596875
transcript.pyannote[1155].speaker SPEAKER_34
transcript.pyannote[1155].start 7116.67409375
transcript.pyannote[1155].end 7117.50096875
transcript.pyannote[1156].speaker SPEAKER_33
transcript.pyannote[1156].start 7117.50096875
transcript.pyannote[1156].end 7119.47534375
transcript.pyannote[1157].speaker SPEAKER_34
transcript.pyannote[1157].start 7119.47534375
transcript.pyannote[1157].end 7124.87534375
transcript.pyannote[1158].speaker SPEAKER_33
transcript.pyannote[1158].start 7124.06534375
transcript.pyannote[1158].end 7126.14096875
transcript.pyannote[1159].speaker SPEAKER_34
transcript.pyannote[1159].start 7126.14096875
transcript.pyannote[1159].end 7129.49909375
transcript.pyannote[1160].speaker SPEAKER_33
transcript.pyannote[1160].start 7128.80721875
transcript.pyannote[1160].end 7136.16471875
transcript.pyannote[1161].speaker SPEAKER_34
transcript.pyannote[1161].start 7130.52846875
transcript.pyannote[1161].end 7131.28784375
transcript.pyannote[1162].speaker SPEAKER_29
transcript.pyannote[1162].start 7131.28784375
transcript.pyannote[1162].end 7131.38909375
transcript.pyannote[1163].speaker SPEAKER_29
transcript.pyannote[1163].start 7135.06784375
transcript.pyannote[1163].end 7143.25221875
transcript.pyannote[1164].speaker SPEAKER_33
transcript.pyannote[1164].start 7142.37471875
transcript.pyannote[1164].end 7148.56784375
transcript.pyannote[1165].speaker SPEAKER_29
transcript.pyannote[1165].start 7143.31971875
transcript.pyannote[1165].end 7143.38721875
transcript.pyannote[1166].speaker SPEAKER_29
transcript.pyannote[1166].start 7143.57284375
transcript.pyannote[1166].end 7144.12971875
transcript.pyannote[1167].speaker SPEAKER_33
transcript.pyannote[1167].start 7148.88846875
transcript.pyannote[1167].end 7149.02346875
transcript.pyannote[1168].speaker SPEAKER_33
transcript.pyannote[1168].start 7149.20909375
transcript.pyannote[1168].end 7152.65159375
transcript.pyannote[1169].speaker SPEAKER_29
transcript.pyannote[1169].start 7152.24659375
transcript.pyannote[1169].end 7154.00159375
transcript.pyannote[1170].speaker SPEAKER_29
transcript.pyannote[1170].start 7154.15346875
transcript.pyannote[1170].end 7154.99721875
transcript.pyannote[1171].speaker SPEAKER_33
transcript.pyannote[1171].start 7154.25471875
transcript.pyannote[1171].end 7154.60909375
transcript.pyannote[1172].speaker SPEAKER_33
transcript.pyannote[1172].start 7155.16596875
transcript.pyannote[1172].end 7158.54096875
transcript.pyannote[1173].speaker SPEAKER_33
transcript.pyannote[1173].start 7159.16534375
transcript.pyannote[1173].end 7162.05096875
transcript.pyannote[1174].speaker SPEAKER_33
transcript.pyannote[1174].start 7162.52346875
transcript.pyannote[1174].end 7162.87784375
transcript.pyannote[1175].speaker SPEAKER_33
transcript.pyannote[1175].start 7162.96221875
transcript.pyannote[1175].end 7163.33346875
transcript.pyannote[1176].speaker SPEAKER_33
transcript.pyannote[1176].start 7163.77221875
transcript.pyannote[1176].end 7165.59471875
transcript.pyannote[1177].speaker SPEAKER_07
transcript.pyannote[1177].start 7166.47221875
transcript.pyannote[1177].end 7167.97409375
transcript.pyannote[1178].speaker SPEAKER_07
transcript.pyannote[1178].start 7169.93159375
transcript.pyannote[1178].end 7171.83846875
transcript.pyannote[1179].speaker SPEAKER_02
transcript.pyannote[1179].start 7182.65534375
transcript.pyannote[1179].end 7185.13596875
transcript.pyannote[1180].speaker SPEAKER_02
transcript.pyannote[1180].start 7185.20346875
transcript.pyannote[1180].end 7185.94596875
transcript.pyannote[1181].speaker SPEAKER_07
transcript.pyannote[1181].start 7186.03034375
transcript.pyannote[1181].end 7186.90784375
transcript.pyannote[1182].speaker SPEAKER_02
transcript.pyannote[1182].start 7188.73034375
transcript.pyannote[1182].end 7192.02096875
transcript.pyannote[1183].speaker SPEAKER_02
transcript.pyannote[1183].start 7192.37534375
transcript.pyannote[1183].end 7193.50596875
transcript.pyannote[1184].speaker SPEAKER_02
transcript.pyannote[1184].start 7193.94471875
transcript.pyannote[1184].end 7196.52659375
transcript.pyannote[1185].speaker SPEAKER_46
transcript.pyannote[1185].start 7194.31596875
transcript.pyannote[1185].end 7195.32846875
transcript.pyannote[1186].speaker SPEAKER_02
transcript.pyannote[1186].start 7197.01596875
transcript.pyannote[1186].end 7198.65284375
transcript.pyannote[1187].speaker SPEAKER_02
transcript.pyannote[1187].start 7199.19284375
transcript.pyannote[1187].end 7199.66534375
transcript.pyannote[1188].speaker SPEAKER_39
transcript.pyannote[1188].start 7199.29409375
transcript.pyannote[1188].end 7201.55534375
transcript.pyannote[1189].speaker SPEAKER_02
transcript.pyannote[1189].start 7200.27284375
transcript.pyannote[1189].end 7202.41596875
transcript.pyannote[1190].speaker SPEAKER_39
transcript.pyannote[1190].start 7202.01096875
transcript.pyannote[1190].end 7202.29784375
transcript.pyannote[1191].speaker SPEAKER_46
transcript.pyannote[1191].start 7202.41596875
transcript.pyannote[1191].end 7202.43284375
transcript.pyannote[1192].speaker SPEAKER_02
transcript.pyannote[1192].start 7204.22159375
transcript.pyannote[1192].end 7204.79534375
transcript.pyannote[1193].speaker SPEAKER_02
transcript.pyannote[1193].start 7205.45346875
transcript.pyannote[1193].end 7207.20846875
transcript.pyannote[1194].speaker SPEAKER_02
transcript.pyannote[1194].start 7207.39409375
transcript.pyannote[1194].end 7217.94096875
transcript.pyannote[1195].speaker SPEAKER_46
transcript.pyannote[1195].start 7213.95846875
transcript.pyannote[1195].end 7214.00909375
transcript.pyannote[1196].speaker SPEAKER_33
transcript.pyannote[1196].start 7214.00909375
transcript.pyannote[1196].end 7214.04284375
transcript.pyannote[1197].speaker SPEAKER_02
transcript.pyannote[1197].start 7218.43034375
transcript.pyannote[1197].end 7227.98159375
transcript.pyannote[1198].speaker SPEAKER_02
transcript.pyannote[1198].start 7228.60596875
transcript.pyannote[1198].end 7230.14159375
transcript.pyannote[1199].speaker SPEAKER_02
transcript.pyannote[1199].start 7230.39471875
transcript.pyannote[1199].end 7236.21659375
transcript.pyannote[1200].speaker SPEAKER_02
transcript.pyannote[1200].start 7236.43596875
transcript.pyannote[1200].end 7241.00909375
transcript.pyannote[1201].speaker SPEAKER_02
transcript.pyannote[1201].start 7241.48159375
transcript.pyannote[1201].end 7243.50659375
transcript.pyannote[1202].speaker SPEAKER_02
transcript.pyannote[1202].start 7243.89471875
transcript.pyannote[1202].end 7247.92784375
transcript.pyannote[1203].speaker SPEAKER_02
transcript.pyannote[1203].start 7248.29909375
transcript.pyannote[1203].end 7248.95721875
transcript.pyannote[1204].speaker SPEAKER_02
transcript.pyannote[1204].start 7249.41284375
transcript.pyannote[1204].end 7250.83034375
transcript.pyannote[1205].speaker SPEAKER_02
transcript.pyannote[1205].start 7250.96534375
transcript.pyannote[1205].end 7257.86721875
transcript.pyannote[1206].speaker SPEAKER_02
transcript.pyannote[1206].start 7258.32284375
transcript.pyannote[1206].end 7265.12346875
transcript.pyannote[1207].speaker SPEAKER_02
transcript.pyannote[1207].start 7265.64659375
transcript.pyannote[1207].end 7271.89034375
transcript.pyannote[1208].speaker SPEAKER_02
transcript.pyannote[1208].start 7272.41346875
transcript.pyannote[1208].end 7282.55534375
transcript.pyannote[1209].speaker SPEAKER_02
transcript.pyannote[1209].start 7282.79159375
transcript.pyannote[1209].end 7286.09909375
transcript.pyannote[1210].speaker SPEAKER_02
transcript.pyannote[1210].start 7286.23409375
transcript.pyannote[1210].end 7295.00909375
transcript.pyannote[1211].speaker SPEAKER_02
transcript.pyannote[1211].start 7295.32971875
transcript.pyannote[1211].end 7303.02471875
transcript.pyannote[1212].speaker SPEAKER_02
transcript.pyannote[1212].start 7303.31159375
transcript.pyannote[1212].end 7310.36534375
transcript.pyannote[1213].speaker SPEAKER_02
transcript.pyannote[1213].start 7310.66909375
transcript.pyannote[1213].end 7311.36096875
transcript.pyannote[1214].speaker SPEAKER_02
transcript.pyannote[1214].start 7311.58034375
transcript.pyannote[1214].end 7312.20471875
transcript.pyannote[1215].speaker SPEAKER_02
transcript.pyannote[1215].start 7312.32284375
transcript.pyannote[1215].end 7313.72346875
transcript.pyannote[1216].speaker SPEAKER_02
transcript.pyannote[1216].start 7314.38159375
transcript.pyannote[1216].end 7314.82034375
transcript.pyannote[1217].speaker SPEAKER_02
transcript.pyannote[1217].start 7315.20846875
transcript.pyannote[1217].end 7318.12784375
transcript.pyannote[1218].speaker SPEAKER_02
transcript.pyannote[1218].start 7318.34721875
transcript.pyannote[1218].end 7319.91659375
transcript.pyannote[1219].speaker SPEAKER_02
transcript.pyannote[1219].start 7320.23721875
transcript.pyannote[1219].end 7322.27909375
transcript.pyannote[1220].speaker SPEAKER_02
transcript.pyannote[1220].start 7322.58284375
transcript.pyannote[1220].end 7324.81034375
transcript.pyannote[1221].speaker SPEAKER_02
transcript.pyannote[1221].start 7324.92846875
transcript.pyannote[1221].end 7326.19409375
transcript.pyannote[1222].speaker SPEAKER_02
transcript.pyannote[1222].start 7326.80159375
transcript.pyannote[1222].end 7334.31096875
transcript.pyannote[1223].speaker SPEAKER_02
transcript.pyannote[1223].start 7334.78346875
transcript.pyannote[1223].end 7336.80846875
transcript.pyannote[1224].speaker SPEAKER_02
transcript.pyannote[1224].start 7337.06159375
transcript.pyannote[1224].end 7344.01409375
transcript.pyannote[1225].speaker SPEAKER_02
transcript.pyannote[1225].start 7344.35159375
transcript.pyannote[1225].end 7344.68909375
transcript.pyannote[1226].speaker SPEAKER_02
transcript.pyannote[1226].start 7345.16159375
transcript.pyannote[1226].end 7346.05596875
transcript.pyannote[1227].speaker SPEAKER_02
transcript.pyannote[1227].start 7346.49471875
transcript.pyannote[1227].end 7350.39284375
transcript.pyannote[1228].speaker SPEAKER_02
transcript.pyannote[1228].start 7350.79784375
transcript.pyannote[1228].end 7351.47284375
transcript.pyannote[1229].speaker SPEAKER_02
transcript.pyannote[1229].start 7352.58659375
transcript.pyannote[1229].end 7369.05659375
transcript.pyannote[1230].speaker SPEAKER_02
transcript.pyannote[1230].start 7369.36034375
transcript.pyannote[1230].end 7381.78034375
transcript.pyannote[1231].speaker SPEAKER_02
transcript.pyannote[1231].start 7383.09659375
transcript.pyannote[1231].end 7386.03284375
transcript.pyannote[1232].speaker SPEAKER_02
transcript.pyannote[1232].start 7386.20159375
transcript.pyannote[1232].end 7388.24346875
transcript.pyannote[1233].speaker SPEAKER_02
transcript.pyannote[1233].start 7388.51346875
transcript.pyannote[1233].end 7391.34846875
transcript.pyannote[1234].speaker SPEAKER_02
transcript.pyannote[1234].start 7392.09096875
transcript.pyannote[1234].end 7393.32284375
transcript.pyannote[1235].speaker SPEAKER_02
transcript.pyannote[1235].start 7393.71096875
transcript.pyannote[1235].end 7394.58846875
transcript.pyannote[1236].speaker SPEAKER_02
transcript.pyannote[1236].start 7394.63909375
transcript.pyannote[1236].end 7397.23784375
transcript.pyannote[1237].speaker SPEAKER_02
transcript.pyannote[1237].start 7397.28846875
transcript.pyannote[1237].end 7398.28409375
transcript.pyannote[1238].speaker SPEAKER_02
transcript.pyannote[1238].start 7398.41909375
transcript.pyannote[1238].end 7400.34284375
transcript.pyannote[1239].speaker SPEAKER_02
transcript.pyannote[1239].start 7400.49471875
transcript.pyannote[1239].end 7408.49346875
transcript.pyannote[1240].speaker SPEAKER_02
transcript.pyannote[1240].start 7408.83096875
transcript.pyannote[1240].end 7427.35971875
transcript.pyannote[1241].speaker SPEAKER_29
transcript.pyannote[1241].start 7427.74784375
transcript.pyannote[1241].end 7475.60534375
transcript.pyannote[1242].speaker SPEAKER_02
transcript.pyannote[1242].start 7475.70659375
transcript.pyannote[1242].end 7476.34784375
transcript.pyannote[1243].speaker SPEAKER_02
transcript.pyannote[1243].start 7478.30534375
transcript.pyannote[1243].end 7493.79659375
transcript.pyannote[1244].speaker SPEAKER_02
transcript.pyannote[1244].start 7493.83034375
transcript.pyannote[1244].end 7511.21159375
transcript.pyannote[1245].speaker SPEAKER_02
transcript.pyannote[1245].start 7511.34659375
transcript.pyannote[1245].end 7515.97034375
transcript.pyannote[1246].speaker SPEAKER_02
transcript.pyannote[1246].start 7516.35846875
transcript.pyannote[1246].end 7523.20971875
transcript.pyannote[1247].speaker SPEAKER_02
transcript.pyannote[1247].start 7523.44596875
transcript.pyannote[1247].end 7524.39096875
transcript.pyannote[1248].speaker SPEAKER_02
transcript.pyannote[1248].start 7524.88034375
transcript.pyannote[1248].end 7538.24534375
transcript.pyannote[1249].speaker SPEAKER_02
transcript.pyannote[1249].start 7538.59971875
transcript.pyannote[1249].end 7540.05096875
transcript.pyannote[1250].speaker SPEAKER_46
transcript.pyannote[1250].start 7540.52346875
transcript.pyannote[1250].end 7540.94534375
transcript.pyannote[1251].speaker SPEAKER_02
transcript.pyannote[1251].start 7540.99596875
transcript.pyannote[1251].end 7543.03784375
transcript.pyannote[1252].speaker SPEAKER_02
transcript.pyannote[1252].start 7543.24034375
transcript.pyannote[1252].end 7544.60721875
transcript.pyannote[1253].speaker SPEAKER_02
transcript.pyannote[1253].start 7545.01221875
transcript.pyannote[1253].end 7546.14284375
transcript.pyannote[1254].speaker SPEAKER_02
transcript.pyannote[1254].start 7546.46346875
transcript.pyannote[1254].end 7548.26909375
transcript.pyannote[1255].speaker SPEAKER_02
transcript.pyannote[1255].start 7548.60659375
transcript.pyannote[1255].end 7549.68659375
transcript.pyannote[1256].speaker SPEAKER_02
transcript.pyannote[1256].start 7550.42909375
transcript.pyannote[1256].end 7564.51971875
transcript.pyannote[1257].speaker SPEAKER_02
transcript.pyannote[1257].start 7564.73909375
transcript.pyannote[1257].end 7566.49409375
transcript.pyannote[1258].speaker SPEAKER_02
transcript.pyannote[1258].start 7566.84846875
transcript.pyannote[1258].end 7569.80159375
transcript.pyannote[1259].speaker SPEAKER_02
transcript.pyannote[1259].start 7570.10534375
transcript.pyannote[1259].end 7575.87659375
transcript.pyannote[1260].speaker SPEAKER_02
transcript.pyannote[1260].start 7576.41659375
transcript.pyannote[1260].end 7577.20971875
transcript.pyannote[1261].speaker SPEAKER_02
transcript.pyannote[1261].start 7577.71596875
transcript.pyannote[1261].end 7585.61346875
transcript.pyannote[1262].speaker SPEAKER_46
transcript.pyannote[1262].start 7585.61346875
transcript.pyannote[1262].end 7585.95096875
transcript.pyannote[1263].speaker SPEAKER_02
transcript.pyannote[1263].start 7585.84971875
transcript.pyannote[1263].end 7586.91284375
transcript.pyannote[1264].speaker SPEAKER_02
transcript.pyannote[1264].start 7587.36846875
transcript.pyannote[1264].end 7588.34721875
transcript.pyannote[1265].speaker SPEAKER_02
transcript.pyannote[1265].start 7588.73534375
transcript.pyannote[1265].end 7590.67596875
transcript.pyannote[1266].speaker SPEAKER_02
transcript.pyannote[1266].start 7590.94596875
transcript.pyannote[1266].end 7594.28721875
transcript.pyannote[1267].speaker SPEAKER_02
transcript.pyannote[1267].start 7594.65846875
transcript.pyannote[1267].end 7601.44221875
transcript.pyannote[1268].speaker SPEAKER_02
transcript.pyannote[1268].start 7601.83034375
transcript.pyannote[1268].end 7604.83409375
transcript.pyannote[1269].speaker SPEAKER_46
transcript.pyannote[1269].start 7604.95221875
transcript.pyannote[1269].end 7605.22221875
transcript.pyannote[1270].speaker SPEAKER_02
transcript.pyannote[1270].start 7605.03659375
transcript.pyannote[1270].end 7606.01534375
transcript.pyannote[1271].speaker SPEAKER_02
transcript.pyannote[1271].start 7606.31909375
transcript.pyannote[1271].end 7612.54596875
transcript.pyannote[1272].speaker SPEAKER_02
transcript.pyannote[1272].start 7612.83284375
transcript.pyannote[1272].end 7616.37659375
transcript.pyannote[1273].speaker SPEAKER_02
transcript.pyannote[1273].start 7616.83221875
transcript.pyannote[1273].end 7618.24971875
transcript.pyannote[1274].speaker SPEAKER_34
transcript.pyannote[1274].start 7620.17346875
transcript.pyannote[1274].end 7648.45596875
transcript.pyannote[1275].speaker SPEAKER_34
transcript.pyannote[1275].start 7648.75971875
transcript.pyannote[1275].end 7659.17159375
transcript.pyannote[1276].speaker SPEAKER_02
transcript.pyannote[1276].start 7658.90159375
transcript.pyannote[1276].end 7673.70096875
transcript.pyannote[1277].speaker SPEAKER_02
transcript.pyannote[1277].start 7674.25784375
transcript.pyannote[1277].end 7677.19409375
transcript.pyannote[1278].speaker SPEAKER_02
transcript.pyannote[1278].start 7677.56534375
transcript.pyannote[1278].end 7688.97284375
transcript.pyannote[1279].speaker SPEAKER_29
transcript.pyannote[1279].start 7688.97284375
transcript.pyannote[1279].end 7704.49784375
transcript.pyannote[1280].speaker SPEAKER_29
transcript.pyannote[1280].start 7704.93659375
transcript.pyannote[1280].end 7710.70784375
transcript.pyannote[1281].speaker SPEAKER_02
transcript.pyannote[1281].start 7710.70784375
transcript.pyannote[1281].end 7711.36596875
transcript.pyannote[1282].speaker SPEAKER_02
transcript.pyannote[1282].start 7711.53471875
transcript.pyannote[1282].end 7735.05846875
transcript.pyannote[1283].speaker SPEAKER_46
transcript.pyannote[1283].start 7719.11159375
transcript.pyannote[1283].end 7719.73596875
transcript.pyannote[1284].speaker SPEAKER_02
transcript.pyannote[1284].start 7735.41284375
transcript.pyannote[1284].end 7735.96971875
transcript.pyannote[1285].speaker SPEAKER_02
transcript.pyannote[1285].start 7736.08784375
transcript.pyannote[1285].end 7737.04971875
transcript.pyannote[1286].speaker SPEAKER_02
transcript.pyannote[1286].start 7738.33221875
transcript.pyannote[1286].end 7739.91846875
transcript.pyannote[1287].speaker SPEAKER_02
transcript.pyannote[1287].start 7740.47534375
transcript.pyannote[1287].end 7741.18409375
transcript.pyannote[1288].speaker SPEAKER_02
transcript.pyannote[1288].start 7741.52159375
transcript.pyannote[1288].end 7743.34409375
transcript.pyannote[1289].speaker SPEAKER_02
transcript.pyannote[1289].start 7743.69846875
transcript.pyannote[1289].end 7745.67284375
transcript.pyannote[1290].speaker SPEAKER_02
transcript.pyannote[1290].start 7746.14534375
transcript.pyannote[1290].end 7747.66409375
transcript.pyannote[1291].speaker SPEAKER_02
transcript.pyannote[1291].start 7747.93409375
transcript.pyannote[1291].end 7750.80284375
transcript.pyannote[1292].speaker SPEAKER_46
transcript.pyannote[1292].start 7750.07721875
transcript.pyannote[1292].end 7750.68471875
transcript.pyannote[1293].speaker SPEAKER_46
transcript.pyannote[1293].start 7751.07284375
transcript.pyannote[1293].end 7751.35971875
transcript.pyannote[1294].speaker SPEAKER_02
transcript.pyannote[1294].start 7751.35971875
transcript.pyannote[1294].end 7758.10971875
transcript.pyannote[1295].speaker SPEAKER_46
transcript.pyannote[1295].start 7751.37659375
transcript.pyannote[1295].end 7751.42721875
transcript.pyannote[1296].speaker SPEAKER_02
transcript.pyannote[1296].start 7758.12659375
transcript.pyannote[1296].end 7758.21096875
transcript.pyannote[1297].speaker SPEAKER_46
transcript.pyannote[1297].start 7758.21096875
transcript.pyannote[1297].end 7758.29534375
transcript.pyannote[1298].speaker SPEAKER_02
transcript.pyannote[1298].start 7758.29534375
transcript.pyannote[1298].end 7759.47659375
transcript.pyannote[1299].speaker SPEAKER_02
transcript.pyannote[1299].start 7759.93221875
transcript.pyannote[1299].end 7760.21909375
transcript.pyannote[1300].speaker SPEAKER_02
transcript.pyannote[1300].start 7760.47221875
transcript.pyannote[1300].end 7762.22721875
transcript.pyannote[1301].speaker SPEAKER_02
transcript.pyannote[1301].start 7762.27784375
transcript.pyannote[1301].end 7763.07096875
transcript.pyannote[1302].speaker SPEAKER_02
transcript.pyannote[1302].start 7763.52659375
transcript.pyannote[1302].end 7764.69096875
transcript.pyannote[1303].speaker SPEAKER_02
transcript.pyannote[1303].start 7765.07909375
transcript.pyannote[1303].end 7767.49221875
transcript.pyannote[1304].speaker SPEAKER_02
transcript.pyannote[1304].start 7767.77909375
transcript.pyannote[1304].end 7771.82909375
transcript.pyannote[1305].speaker SPEAKER_02
transcript.pyannote[1305].start 7772.14971875
transcript.pyannote[1305].end 7774.37721875
transcript.pyannote[1306].speaker SPEAKER_02
transcript.pyannote[1306].start 7774.83284375
transcript.pyannote[1306].end 7775.59221875
transcript.pyannote[1307].speaker SPEAKER_02
transcript.pyannote[1307].start 7775.96346875
transcript.pyannote[1307].end 7776.50346875
transcript.pyannote[1308].speaker SPEAKER_02
transcript.pyannote[1308].start 7776.89159375
transcript.pyannote[1308].end 7779.50721875
transcript.pyannote[1309].speaker SPEAKER_02
transcript.pyannote[1309].start 7779.60846875
transcript.pyannote[1309].end 7782.29159375
transcript.pyannote[1310].speaker SPEAKER_02
transcript.pyannote[1310].start 7782.76409375
transcript.pyannote[1310].end 7783.55721875
transcript.pyannote[1311].speaker SPEAKER_02
transcript.pyannote[1311].start 7783.89471875
transcript.pyannote[1311].end 7784.95784375
transcript.pyannote[1312].speaker SPEAKER_02
transcript.pyannote[1312].start 7785.21096875
transcript.pyannote[1312].end 7786.69596875
transcript.pyannote[1313].speaker SPEAKER_02
transcript.pyannote[1313].start 7786.93221875
transcript.pyannote[1313].end 7787.77596875
transcript.pyannote[1314].speaker SPEAKER_02
transcript.pyannote[1314].start 7787.96159375
transcript.pyannote[1314].end 7788.40034375
transcript.pyannote[1315].speaker SPEAKER_02
transcript.pyannote[1315].start 7788.55221875
transcript.pyannote[1315].end 7790.17221875
transcript.pyannote[1316].speaker SPEAKER_02
transcript.pyannote[1316].start 7790.79659375
transcript.pyannote[1316].end 7791.40409375
transcript.pyannote[1317].speaker SPEAKER_02
transcript.pyannote[1317].start 7791.65721875
transcript.pyannote[1317].end 7793.66534375
transcript.pyannote[1318].speaker SPEAKER_02
transcript.pyannote[1318].start 7793.78346875
transcript.pyannote[1318].end 7795.45409375
transcript.pyannote[1319].speaker SPEAKER_02
transcript.pyannote[1319].start 7795.70721875
transcript.pyannote[1319].end 7797.36096875
transcript.pyannote[1320].speaker SPEAKER_02
transcript.pyannote[1320].start 7797.52971875
transcript.pyannote[1320].end 7798.81221875
transcript.pyannote[1321].speaker SPEAKER_02
transcript.pyannote[1321].start 7799.23409375
transcript.pyannote[1321].end 7800.07784375
transcript.pyannote[1322].speaker SPEAKER_02
transcript.pyannote[1322].start 7800.36471875
transcript.pyannote[1322].end 7803.19971875
transcript.pyannote[1323].speaker SPEAKER_02
transcript.pyannote[1323].start 7803.60471875
transcript.pyannote[1323].end 7805.39346875
transcript.pyannote[1324].speaker SPEAKER_02
transcript.pyannote[1324].start 7805.52846875
transcript.pyannote[1324].end 7808.41409375
transcript.pyannote[1325].speaker SPEAKER_02
transcript.pyannote[1325].start 7808.88659375
transcript.pyannote[1325].end 7809.27471875
transcript.pyannote[1326].speaker SPEAKER_02
transcript.pyannote[1326].start 7809.62909375
transcript.pyannote[1326].end 7810.25346875
transcript.pyannote[1327].speaker SPEAKER_02
transcript.pyannote[1327].start 7810.59096875
transcript.pyannote[1327].end 7811.85659375
transcript.pyannote[1328].speaker SPEAKER_02
transcript.pyannote[1328].start 7812.26159375
transcript.pyannote[1328].end 7814.33721875
transcript.pyannote[1329].speaker SPEAKER_02
transcript.pyannote[1329].start 7814.50596875
transcript.pyannote[1329].end 7816.71659375
transcript.pyannote[1330].speaker SPEAKER_02
transcript.pyannote[1330].start 7817.02034375
transcript.pyannote[1330].end 7819.18034375
transcript.pyannote[1331].speaker SPEAKER_02
transcript.pyannote[1331].start 7819.68659375
transcript.pyannote[1331].end 7823.11221875
transcript.pyannote[1332].speaker SPEAKER_02
transcript.pyannote[1332].start 7823.66909375
transcript.pyannote[1332].end 7825.82909375
transcript.pyannote[1333].speaker SPEAKER_02
transcript.pyannote[1333].start 7826.04846875
transcript.pyannote[1333].end 7832.03909375
transcript.pyannote[1334].speaker SPEAKER_02
transcript.pyannote[1334].start 7832.20784375
transcript.pyannote[1334].end 7841.69159375
transcript.pyannote[1335].speaker SPEAKER_39
transcript.pyannote[1335].start 7838.70471875
transcript.pyannote[1335].end 7842.21471875
transcript.pyannote[1336].speaker SPEAKER_07
transcript.pyannote[1336].start 7844.07096875
transcript.pyannote[1336].end 7845.65721875
transcript.pyannote[1337].speaker SPEAKER_07
transcript.pyannote[1337].start 7849.48784375
transcript.pyannote[1337].end 7851.79971875
transcript.pyannote[1338].speaker SPEAKER_37
transcript.pyannote[1338].start 7863.66284375
transcript.pyannote[1338].end 7865.67096875
transcript.pyannote[1339].speaker SPEAKER_07
transcript.pyannote[1339].start 7865.92409375
transcript.pyannote[1339].end 7866.83534375
transcript.pyannote[1340].speaker SPEAKER_37
transcript.pyannote[1340].start 7873.24784375
transcript.pyannote[1340].end 7878.36096875
transcript.pyannote[1341].speaker SPEAKER_46
transcript.pyannote[1341].start 7880.21721875
transcript.pyannote[1341].end 7880.25096875
transcript.pyannote[1342].speaker SPEAKER_37
transcript.pyannote[1342].start 7880.25096875
transcript.pyannote[1342].end 7896.53534375
transcript.pyannote[1343].speaker SPEAKER_46
transcript.pyannote[1343].start 7880.30159375
transcript.pyannote[1343].end 7880.90909375
transcript.pyannote[1344].speaker SPEAKER_37
transcript.pyannote[1344].start 7896.65346875
transcript.pyannote[1344].end 7913.46096875
transcript.pyannote[1345].speaker SPEAKER_29
transcript.pyannote[1345].start 7904.07846875
transcript.pyannote[1345].end 7904.51721875
transcript.pyannote[1346].speaker SPEAKER_00
transcript.pyannote[1346].start 7907.38596875
transcript.pyannote[1346].end 7907.40284375
transcript.pyannote[1347].speaker SPEAKER_48
transcript.pyannote[1347].start 7907.40284375
transcript.pyannote[1347].end 7908.17909375
transcript.pyannote[1348].speaker SPEAKER_37
transcript.pyannote[1348].start 7913.73096875
transcript.pyannote[1348].end 7915.72221875
transcript.pyannote[1349].speaker SPEAKER_37
transcript.pyannote[1349].start 7916.12721875
transcript.pyannote[1349].end 7917.27471875
transcript.pyannote[1350].speaker SPEAKER_37
transcript.pyannote[1350].start 7917.66284375
transcript.pyannote[1350].end 7921.72971875
transcript.pyannote[1351].speaker SPEAKER_37
transcript.pyannote[1351].start 7922.05034375
transcript.pyannote[1351].end 7925.62784375
transcript.pyannote[1352].speaker SPEAKER_29
transcript.pyannote[1352].start 7924.95284375
transcript.pyannote[1352].end 7931.29784375
transcript.pyannote[1353].speaker SPEAKER_37
transcript.pyannote[1353].start 7928.63159375
transcript.pyannote[1353].end 7928.98596875
transcript.pyannote[1354].speaker SPEAKER_37
transcript.pyannote[1354].start 7931.29784375
transcript.pyannote[1354].end 7941.27096875
transcript.pyannote[1355].speaker SPEAKER_29
transcript.pyannote[1355].start 7931.44971875
transcript.pyannote[1355].end 7932.34409375
transcript.pyannote[1356].speaker SPEAKER_37
transcript.pyannote[1356].start 7941.64221875
transcript.pyannote[1356].end 7943.78534375
transcript.pyannote[1357].speaker SPEAKER_29
transcript.pyannote[1357].start 7941.77721875
transcript.pyannote[1357].end 7943.71784375
transcript.pyannote[1358].speaker SPEAKER_29
transcript.pyannote[1358].start 7943.78534375
transcript.pyannote[1358].end 7943.86971875
transcript.pyannote[1359].speaker SPEAKER_29
transcript.pyannote[1359].start 7944.10596875
transcript.pyannote[1359].end 7952.94846875
transcript.pyannote[1360].speaker SPEAKER_37
transcript.pyannote[1360].start 7950.24846875
transcript.pyannote[1360].end 7951.14284375
transcript.pyannote[1361].speaker SPEAKER_37
transcript.pyannote[1361].start 7952.62784375
transcript.pyannote[1361].end 7956.96471875
transcript.pyannote[1362].speaker SPEAKER_29
transcript.pyannote[1362].start 7956.96471875
transcript.pyannote[1362].end 7982.78346875
transcript.pyannote[1363].speaker SPEAKER_16
transcript.pyannote[1363].start 7963.74846875
transcript.pyannote[1363].end 7964.05221875
transcript.pyannote[1364].speaker SPEAKER_39
transcript.pyannote[1364].start 7972.65846875
transcript.pyannote[1364].end 7972.96221875
transcript.pyannote[1365].speaker SPEAKER_00
transcript.pyannote[1365].start 7972.96221875
transcript.pyannote[1365].end 7973.01284375
transcript.pyannote[1366].speaker SPEAKER_00
transcript.pyannote[1366].start 7973.38409375
transcript.pyannote[1366].end 7973.46846875
transcript.pyannote[1367].speaker SPEAKER_46
transcript.pyannote[1367].start 7973.46846875
transcript.pyannote[1367].end 7973.73846875
transcript.pyannote[1368].speaker SPEAKER_46
transcript.pyannote[1368].start 7978.32846875
transcript.pyannote[1368].end 7978.34534375
transcript.pyannote[1369].speaker SPEAKER_37
transcript.pyannote[1369].start 7978.34534375
transcript.pyannote[1369].end 7978.91909375
transcript.pyannote[1370].speaker SPEAKER_37
transcript.pyannote[1370].start 7982.78346875
transcript.pyannote[1370].end 7983.93096875
transcript.pyannote[1371].speaker SPEAKER_29
transcript.pyannote[1371].start 7983.93096875
transcript.pyannote[1371].end 7984.03221875
transcript.pyannote[1372].speaker SPEAKER_37
transcript.pyannote[1372].start 7984.03221875
transcript.pyannote[1372].end 7986.10784375
transcript.pyannote[1373].speaker SPEAKER_37
transcript.pyannote[1373].start 7986.44534375
transcript.pyannote[1373].end 7987.91346875
transcript.pyannote[1374].speaker SPEAKER_29
transcript.pyannote[1374].start 7986.69846875
transcript.pyannote[1374].end 7986.73221875
transcript.pyannote[1375].speaker SPEAKER_19
transcript.pyannote[1375].start 7986.73221875
transcript.pyannote[1375].end 7987.10346875
transcript.pyannote[1376].speaker SPEAKER_46
transcript.pyannote[1376].start 7987.10346875
transcript.pyannote[1376].end 7987.27221875
transcript.pyannote[1377].speaker SPEAKER_37
transcript.pyannote[1377].start 7988.28471875
transcript.pyannote[1377].end 7989.26346875
transcript.pyannote[1378].speaker SPEAKER_37
transcript.pyannote[1378].start 7989.53346875
transcript.pyannote[1378].end 7994.25846875
transcript.pyannote[1379].speaker SPEAKER_37
transcript.pyannote[1379].start 7995.76034375
transcript.pyannote[1379].end 7997.24534375
transcript.pyannote[1380].speaker SPEAKER_37
transcript.pyannote[1380].start 7997.98784375
transcript.pyannote[1380].end 8006.07096875
transcript.pyannote[1381].speaker SPEAKER_37
transcript.pyannote[1381].start 8006.22284375
transcript.pyannote[1381].end 8015.09909375
transcript.pyannote[1382].speaker SPEAKER_37
transcript.pyannote[1382].start 8015.74034375
transcript.pyannote[1382].end 8016.65159375
transcript.pyannote[1383].speaker SPEAKER_37
transcript.pyannote[1383].start 8017.17471875
transcript.pyannote[1383].end 8021.51159375
transcript.pyannote[1384].speaker SPEAKER_37
transcript.pyannote[1384].start 8021.74784375
transcript.pyannote[1384].end 8024.31284375
transcript.pyannote[1385].speaker SPEAKER_11
transcript.pyannote[1385].start 8025.61221875
transcript.pyannote[1385].end 8044.54596875
transcript.pyannote[1386].speaker SPEAKER_37
transcript.pyannote[1386].start 8042.58846875
transcript.pyannote[1386].end 8042.97659375
transcript.pyannote[1387].speaker SPEAKER_37
transcript.pyannote[1387].start 8044.54596875
transcript.pyannote[1387].end 8044.76534375
transcript.pyannote[1388].speaker SPEAKER_11
transcript.pyannote[1388].start 8044.76534375
transcript.pyannote[1388].end 8045.25471875
transcript.pyannote[1389].speaker SPEAKER_37
transcript.pyannote[1389].start 8045.32221875
transcript.pyannote[1389].end 8045.74409375
transcript.pyannote[1390].speaker SPEAKER_37
transcript.pyannote[1390].start 8045.96346875
transcript.pyannote[1390].end 8049.32159375
transcript.pyannote[1391].speaker SPEAKER_37
transcript.pyannote[1391].start 8049.57471875
transcript.pyannote[1391].end 8064.88034375
transcript.pyannote[1392].speaker SPEAKER_37
transcript.pyannote[1392].start 8065.55534375
transcript.pyannote[1392].end 8067.41159375
transcript.pyannote[1393].speaker SPEAKER_11
transcript.pyannote[1393].start 8066.01096875
transcript.pyannote[1393].end 8066.82096875
transcript.pyannote[1394].speaker SPEAKER_11
transcript.pyannote[1394].start 8067.79971875
transcript.pyannote[1394].end 8075.34284375
transcript.pyannote[1395].speaker SPEAKER_11
transcript.pyannote[1395].start 8075.69721875
transcript.pyannote[1395].end 8104.03034375
transcript.pyannote[1396].speaker SPEAKER_37
transcript.pyannote[1396].start 8104.03034375
transcript.pyannote[1396].end 8114.50971875
transcript.pyannote[1397].speaker SPEAKER_37
transcript.pyannote[1397].start 8114.98221875
transcript.pyannote[1397].end 8126.37284375
transcript.pyannote[1398].speaker SPEAKER_39
transcript.pyannote[1398].start 8125.96784375
transcript.pyannote[1398].end 8126.35596875
transcript.pyannote[1399].speaker SPEAKER_39
transcript.pyannote[1399].start 8126.37284375
transcript.pyannote[1399].end 8126.74409375
transcript.pyannote[1400].speaker SPEAKER_37
transcript.pyannote[1400].start 8128.54971875
transcript.pyannote[1400].end 8129.15721875
transcript.pyannote[1401].speaker SPEAKER_37
transcript.pyannote[1401].start 8129.78159375
transcript.pyannote[1401].end 8130.52409375
transcript.pyannote[1402].speaker SPEAKER_37
transcript.pyannote[1402].start 8130.92909375
transcript.pyannote[1402].end 8131.58721875
transcript.pyannote[1403].speaker SPEAKER_37
transcript.pyannote[1403].start 8131.60409375
transcript.pyannote[1403].end 8131.63784375
transcript.pyannote[1404].speaker SPEAKER_39
transcript.pyannote[1404].start 8131.63784375
transcript.pyannote[1404].end 8131.67159375
transcript.pyannote[1405].speaker SPEAKER_46
transcript.pyannote[1405].start 8131.67159375
transcript.pyannote[1405].end 8131.94159375
transcript.pyannote[1406].speaker SPEAKER_37
transcript.pyannote[1406].start 8131.94159375
transcript.pyannote[1406].end 8146.40346875
transcript.pyannote[1407].speaker SPEAKER_46
transcript.pyannote[1407].start 8146.16721875
transcript.pyannote[1407].end 8146.45409375
transcript.pyannote[1408].speaker SPEAKER_37
transcript.pyannote[1408].start 8146.45409375
transcript.pyannote[1408].end 8150.89221875
transcript.pyannote[1409].speaker SPEAKER_37
transcript.pyannote[1409].start 8151.07784375
transcript.pyannote[1409].end 8154.16596875
transcript.pyannote[1410].speaker SPEAKER_29
transcript.pyannote[1410].start 8154.16596875
transcript.pyannote[1410].end 8154.18284375
transcript.pyannote[1411].speaker SPEAKER_37
transcript.pyannote[1411].start 8154.58784375
transcript.pyannote[1411].end 8155.66784375
transcript.pyannote[1412].speaker SPEAKER_29
transcript.pyannote[1412].start 8155.66784375
transcript.pyannote[1412].end 8155.68471875
transcript.pyannote[1413].speaker SPEAKER_29
transcript.pyannote[1413].start 8156.73096875
transcript.pyannote[1413].end 8180.52471875
transcript.pyannote[1414].speaker SPEAKER_39
transcript.pyannote[1414].start 8158.58721875
transcript.pyannote[1414].end 8158.87409375
transcript.pyannote[1415].speaker SPEAKER_46
transcript.pyannote[1415].start 8169.97784375
transcript.pyannote[1415].end 8170.19721875
transcript.pyannote[1416].speaker SPEAKER_37
transcript.pyannote[1416].start 8180.52471875
transcript.pyannote[1416].end 8180.99721875
transcript.pyannote[1417].speaker SPEAKER_29
transcript.pyannote[1417].start 8180.54159375
transcript.pyannote[1417].end 8180.91284375
transcript.pyannote[1418].speaker SPEAKER_29
transcript.pyannote[1418].start 8180.99721875
transcript.pyannote[1418].end 8181.03096875
transcript.pyannote[1419].speaker SPEAKER_37
transcript.pyannote[1419].start 8181.03096875
transcript.pyannote[1419].end 8187.03846875
transcript.pyannote[1420].speaker SPEAKER_37
transcript.pyannote[1420].start 8187.12284375
transcript.pyannote[1420].end 8188.05096875
transcript.pyannote[1421].speaker SPEAKER_37
transcript.pyannote[1421].start 8188.33784375
transcript.pyannote[1421].end 8190.73409375
transcript.pyannote[1422].speaker SPEAKER_29
transcript.pyannote[1422].start 8191.81409375
transcript.pyannote[1422].end 8192.67471875
transcript.pyannote[1423].speaker SPEAKER_39
transcript.pyannote[1423].start 8192.67471875
transcript.pyannote[1423].end 8192.79284375
transcript.pyannote[1424].speaker SPEAKER_29
transcript.pyannote[1424].start 8192.79284375
transcript.pyannote[1424].end 8193.72096875
transcript.pyannote[1425].speaker SPEAKER_37
transcript.pyannote[1425].start 8193.36659375
transcript.pyannote[1425].end 8195.71221875
transcript.pyannote[1426].speaker SPEAKER_29
transcript.pyannote[1426].start 8195.71221875
transcript.pyannote[1426].end 8195.74596875
transcript.pyannote[1427].speaker SPEAKER_29
transcript.pyannote[1427].start 8196.57284375
transcript.pyannote[1427].end 8199.00284375
transcript.pyannote[1428].speaker SPEAKER_29
transcript.pyannote[1428].start 8199.10409375
transcript.pyannote[1428].end 8204.03159375
transcript.pyannote[1429].speaker SPEAKER_37
transcript.pyannote[1429].start 8204.03159375
transcript.pyannote[1429].end 8204.95971875
transcript.pyannote[1430].speaker SPEAKER_29
transcript.pyannote[1430].start 8204.94284375
transcript.pyannote[1430].end 8204.97659375
transcript.pyannote[1431].speaker SPEAKER_22
transcript.pyannote[1431].start 8204.95971875
transcript.pyannote[1431].end 8205.16221875
transcript.pyannote[1432].speaker SPEAKER_37
transcript.pyannote[1432].start 8204.97659375
transcript.pyannote[1432].end 8209.22909375
transcript.pyannote[1433].speaker SPEAKER_37
transcript.pyannote[1433].start 8209.36409375
transcript.pyannote[1433].end 8209.46534375
transcript.pyannote[1434].speaker SPEAKER_29
transcript.pyannote[1434].start 8209.46534375
transcript.pyannote[1434].end 8209.48221875
transcript.pyannote[1435].speaker SPEAKER_37
transcript.pyannote[1435].start 8209.48221875
transcript.pyannote[1435].end 8211.49034375
transcript.pyannote[1436].speaker SPEAKER_29
transcript.pyannote[1436].start 8209.65096875
transcript.pyannote[1436].end 8210.32596875
transcript.pyannote[1437].speaker SPEAKER_29
transcript.pyannote[1437].start 8212.67159375
transcript.pyannote[1437].end 8214.76409375
transcript.pyannote[1438].speaker SPEAKER_29
transcript.pyannote[1438].start 8215.96221875
transcript.pyannote[1438].end 8215.97909375
transcript.pyannote[1439].speaker SPEAKER_37
transcript.pyannote[1439].start 8215.97909375
transcript.pyannote[1439].end 8216.46846875
transcript.pyannote[1440].speaker SPEAKER_29
transcript.pyannote[1440].start 8216.46846875
transcript.pyannote[1440].end 8216.87346875
transcript.pyannote[1441].speaker SPEAKER_37
transcript.pyannote[1441].start 8216.87346875
transcript.pyannote[1441].end 8220.50159375
transcript.pyannote[1442].speaker SPEAKER_39
transcript.pyannote[1442].start 8221.41284375
transcript.pyannote[1442].end 8221.49721875
transcript.pyannote[1443].speaker SPEAKER_37
transcript.pyannote[1443].start 8221.49721875
transcript.pyannote[1443].end 8221.51409375
transcript.pyannote[1444].speaker SPEAKER_39
transcript.pyannote[1444].start 8221.51409375
transcript.pyannote[1444].end 8221.68284375
transcript.pyannote[1445].speaker SPEAKER_37
transcript.pyannote[1445].start 8221.68284375
transcript.pyannote[1445].end 8222.08784375
transcript.pyannote[1446].speaker SPEAKER_30
transcript.pyannote[1446].start 8223.31971875
transcript.pyannote[1446].end 8232.28034375
transcript.pyannote[1447].speaker SPEAKER_37
transcript.pyannote[1447].start 8230.81221875
transcript.pyannote[1447].end 8238.06846875
transcript.pyannote[1448].speaker SPEAKER_30
transcript.pyannote[1448].start 8232.34784375
transcript.pyannote[1448].end 8232.46596875
transcript.pyannote[1449].speaker SPEAKER_30
transcript.pyannote[1449].start 8232.78659375
transcript.pyannote[1449].end 8232.80346875
transcript.pyannote[1450].speaker SPEAKER_30
transcript.pyannote[1450].start 8232.82034375
transcript.pyannote[1450].end 8232.98909375
transcript.pyannote[1451].speaker SPEAKER_30
transcript.pyannote[1451].start 8233.29284375
transcript.pyannote[1451].end 8233.57971875
transcript.pyannote[1452].speaker SPEAKER_30
transcript.pyannote[1452].start 8234.69346875
transcript.pyannote[1452].end 8235.35159375
transcript.pyannote[1453].speaker SPEAKER_30
transcript.pyannote[1453].start 8236.04346875
transcript.pyannote[1453].end 8248.39596875
transcript.pyannote[1454].speaker SPEAKER_30
transcript.pyannote[1454].start 8249.05409375
transcript.pyannote[1454].end 8252.10846875
transcript.pyannote[1455].speaker SPEAKER_37
transcript.pyannote[1455].start 8252.10846875
transcript.pyannote[1455].end 8254.60596875
transcript.pyannote[1456].speaker SPEAKER_30
transcript.pyannote[1456].start 8254.94346875
transcript.pyannote[1456].end 8254.96034375
transcript.pyannote[1457].speaker SPEAKER_37
transcript.pyannote[1457].start 8254.96034375
transcript.pyannote[1457].end 8255.14596875
transcript.pyannote[1458].speaker SPEAKER_30
transcript.pyannote[1458].start 8255.14596875
transcript.pyannote[1458].end 8267.07659375
transcript.pyannote[1459].speaker SPEAKER_37
transcript.pyannote[1459].start 8255.16284375
transcript.pyannote[1459].end 8257.20471875
transcript.pyannote[1460].speaker SPEAKER_37
transcript.pyannote[1460].start 8258.40284375
transcript.pyannote[1460].end 8259.01034375
transcript.pyannote[1461].speaker SPEAKER_37
transcript.pyannote[1461].start 8262.21659375
transcript.pyannote[1461].end 8262.48659375
transcript.pyannote[1462].speaker SPEAKER_37
transcript.pyannote[1462].start 8267.07659375
transcript.pyannote[1462].end 8280.69471875
transcript.pyannote[1463].speaker SPEAKER_37
transcript.pyannote[1463].start 8281.20096875
transcript.pyannote[1463].end 8284.44096875
transcript.pyannote[1464].speaker SPEAKER_29
transcript.pyannote[1464].start 8281.36971875
transcript.pyannote[1464].end 8289.21659375
transcript.pyannote[1465].speaker SPEAKER_37
transcript.pyannote[1465].start 8284.57596875
transcript.pyannote[1465].end 8285.36909375
transcript.pyannote[1466].speaker SPEAKER_37
transcript.pyannote[1466].start 8289.01409375
transcript.pyannote[1466].end 8302.96971875
transcript.pyannote[1467].speaker SPEAKER_29
transcript.pyannote[1467].start 8302.96971875
transcript.pyannote[1467].end 8311.45784375
transcript.pyannote[1468].speaker SPEAKER_37
transcript.pyannote[1468].start 8303.42534375
transcript.pyannote[1468].end 8304.92721875
transcript.pyannote[1469].speaker SPEAKER_37
transcript.pyannote[1469].start 8306.10846875
transcript.pyannote[1469].end 8309.11221875
transcript.pyannote[1470].speaker SPEAKER_37
transcript.pyannote[1470].start 8309.83784375
transcript.pyannote[1470].end 8316.72284375
transcript.pyannote[1471].speaker SPEAKER_37
transcript.pyannote[1471].start 8316.79034375
transcript.pyannote[1471].end 8320.24971875
transcript.pyannote[1472].speaker SPEAKER_37
transcript.pyannote[1472].start 8320.87409375
transcript.pyannote[1472].end 8323.86096875
transcript.pyannote[1473].speaker SPEAKER_29
transcript.pyannote[1473].start 8322.59534375
transcript.pyannote[1473].end 8339.84159375
transcript.pyannote[1474].speaker SPEAKER_37
transcript.pyannote[1474].start 8337.95159375
transcript.pyannote[1474].end 8358.30284375
transcript.pyannote[1475].speaker SPEAKER_29
transcript.pyannote[1475].start 8344.38096875
transcript.pyannote[1475].end 8347.80659375
transcript.pyannote[1476].speaker SPEAKER_37
transcript.pyannote[1476].start 8358.77534375
transcript.pyannote[1476].end 8364.86721875
transcript.pyannote[1477].speaker SPEAKER_37
transcript.pyannote[1477].start 8365.15409375
transcript.pyannote[1477].end 8370.23346875
transcript.pyannote[1478].speaker SPEAKER_37
transcript.pyannote[1478].start 8370.70596875
transcript.pyannote[1478].end 8375.53221875
transcript.pyannote[1479].speaker SPEAKER_29
transcript.pyannote[1479].start 8372.22471875
transcript.pyannote[1479].end 8373.20346875
transcript.pyannote[1480].speaker SPEAKER_29
transcript.pyannote[1480].start 8373.62534375
transcript.pyannote[1480].end 8375.66721875
transcript.pyannote[1481].speaker SPEAKER_29
transcript.pyannote[1481].start 8375.88659375
transcript.pyannote[1481].end 8378.63721875
transcript.pyannote[1482].speaker SPEAKER_37
transcript.pyannote[1482].start 8377.94534375
transcript.pyannote[1482].end 8392.94721875
transcript.pyannote[1483].speaker SPEAKER_29
transcript.pyannote[1483].start 8383.91909375
transcript.pyannote[1483].end 8384.45909375
transcript.pyannote[1484].speaker SPEAKER_29
transcript.pyannote[1484].start 8391.56346875
transcript.pyannote[1484].end 8392.93034375
transcript.pyannote[1485].speaker SPEAKER_29
transcript.pyannote[1485].start 8392.94721875
transcript.pyannote[1485].end 8404.82721875
transcript.pyannote[1486].speaker SPEAKER_37
transcript.pyannote[1486].start 8401.58721875
transcript.pyannote[1486].end 8409.82221875
transcript.pyannote[1487].speaker SPEAKER_39
transcript.pyannote[1487].start 8409.82221875
transcript.pyannote[1487].end 8410.14284375
transcript.pyannote[1488].speaker SPEAKER_37
transcript.pyannote[1488].start 8410.14284375
transcript.pyannote[1488].end 8413.01159375
transcript.pyannote[1489].speaker SPEAKER_39
transcript.pyannote[1489].start 8410.19346875
transcript.pyannote[1489].end 8410.21034375
transcript.pyannote[1490].speaker SPEAKER_39
transcript.pyannote[1490].start 8410.24409375
transcript.pyannote[1490].end 8411.50971875
transcript.pyannote[1491].speaker SPEAKER_37
transcript.pyannote[1491].start 8413.29846875
transcript.pyannote[1491].end 8417.66909375
transcript.pyannote[1492].speaker SPEAKER_39
transcript.pyannote[1492].start 8416.72409375
transcript.pyannote[1492].end 8416.79159375
transcript.pyannote[1493].speaker SPEAKER_39
transcript.pyannote[1493].start 8416.84221875
transcript.pyannote[1493].end 8417.61846875
transcript.pyannote[1494].speaker SPEAKER_39
transcript.pyannote[1494].start 8417.66909375
transcript.pyannote[1494].end 8418.00659375
transcript.pyannote[1495].speaker SPEAKER_07
transcript.pyannote[1495].start 8420.36909375
transcript.pyannote[1495].end 8422.02284375
transcript.pyannote[1496].speaker SPEAKER_07
transcript.pyannote[1496].start 8424.09846875
transcript.pyannote[1496].end 8433.19409375
transcript.pyannote[1497].speaker SPEAKER_31
transcript.pyannote[1497].start 8447.04846875
transcript.pyannote[1497].end 8449.37721875
transcript.pyannote[1498].speaker SPEAKER_07
transcript.pyannote[1498].start 8449.59659375
transcript.pyannote[1498].end 8450.64284375
transcript.pyannote[1499].speaker SPEAKER_31
transcript.pyannote[1499].start 8459.82284375
transcript.pyannote[1499].end 8475.75284375
transcript.pyannote[1500].speaker SPEAKER_31
transcript.pyannote[1500].start 8476.10721875
transcript.pyannote[1500].end 8478.85784375
transcript.pyannote[1501].speaker SPEAKER_31
transcript.pyannote[1501].start 8479.09409375
transcript.pyannote[1501].end 8480.05596875
transcript.pyannote[1502].speaker SPEAKER_31
transcript.pyannote[1502].start 8480.24159375
transcript.pyannote[1502].end 8482.51971875
transcript.pyannote[1503].speaker SPEAKER_31
transcript.pyannote[1503].start 8483.19471875
transcript.pyannote[1503].end 8486.16471875
transcript.pyannote[1504].speaker SPEAKER_29
transcript.pyannote[1504].start 8486.16471875
transcript.pyannote[1504].end 8486.24909375
transcript.pyannote[1505].speaker SPEAKER_29
transcript.pyannote[1505].start 8486.48534375
transcript.pyannote[1505].end 8486.50221875
transcript.pyannote[1506].speaker SPEAKER_31
transcript.pyannote[1506].start 8486.50221875
transcript.pyannote[1506].end 8487.97034375
transcript.pyannote[1507].speaker SPEAKER_29
transcript.pyannote[1507].start 8487.97034375
transcript.pyannote[1507].end 8488.10534375
transcript.pyannote[1508].speaker SPEAKER_29
transcript.pyannote[1508].start 8488.37534375
transcript.pyannote[1508].end 8500.98096875
transcript.pyannote[1509].speaker SPEAKER_31
transcript.pyannote[1509].start 8499.32721875
transcript.pyannote[1509].end 8508.67596875
transcript.pyannote[1510].speaker SPEAKER_29
transcript.pyannote[1510].start 8508.67596875
transcript.pyannote[1510].end 8508.70971875
transcript.pyannote[1511].speaker SPEAKER_31
transcript.pyannote[1511].start 8509.04721875
transcript.pyannote[1511].end 8509.06409375
transcript.pyannote[1512].speaker SPEAKER_29
transcript.pyannote[1512].start 8509.06409375
transcript.pyannote[1512].end 8509.08096875
transcript.pyannote[1513].speaker SPEAKER_31
transcript.pyannote[1513].start 8509.08096875
transcript.pyannote[1513].end 8509.97534375
transcript.pyannote[1514].speaker SPEAKER_29
transcript.pyannote[1514].start 8509.97534375
transcript.pyannote[1514].end 8546.03721875
transcript.pyannote[1515].speaker SPEAKER_31
transcript.pyannote[1515].start 8546.03721875
transcript.pyannote[1515].end 8556.56721875
transcript.pyannote[1516].speaker SPEAKER_31
transcript.pyannote[1516].start 8557.05659375
transcript.pyannote[1516].end 8564.00909375
transcript.pyannote[1517].speaker SPEAKER_29
transcript.pyannote[1517].start 8562.20346875
transcript.pyannote[1517].end 8587.02659375
transcript.pyannote[1518].speaker SPEAKER_31
transcript.pyannote[1518].start 8587.02659375
transcript.pyannote[1518].end 8589.38909375
transcript.pyannote[1519].speaker SPEAKER_31
transcript.pyannote[1519].start 8589.50721875
transcript.pyannote[1519].end 8620.97909375
transcript.pyannote[1520].speaker SPEAKER_31
transcript.pyannote[1520].start 8621.19846875
transcript.pyannote[1520].end 8630.14221875
transcript.pyannote[1521].speaker SPEAKER_31
transcript.pyannote[1521].start 8630.47971875
transcript.pyannote[1521].end 8633.29784375
transcript.pyannote[1522].speaker SPEAKER_29
transcript.pyannote[1522].start 8630.63159375
transcript.pyannote[1522].end 8631.79596875
transcript.pyannote[1523].speaker SPEAKER_29
transcript.pyannote[1523].start 8632.26846875
transcript.pyannote[1523].end 8632.45409375
transcript.pyannote[1524].speaker SPEAKER_29
transcript.pyannote[1524].start 8632.58909375
transcript.pyannote[1524].end 8665.84971875
transcript.pyannote[1525].speaker SPEAKER_31
transcript.pyannote[1525].start 8663.23409375
transcript.pyannote[1525].end 8664.98909375
transcript.pyannote[1526].speaker SPEAKER_31
transcript.pyannote[1526].start 8665.42784375
transcript.pyannote[1526].end 8665.83284375
transcript.pyannote[1527].speaker SPEAKER_31
transcript.pyannote[1527].start 8665.84971875
transcript.pyannote[1527].end 8673.57846875
transcript.pyannote[1528].speaker SPEAKER_31
transcript.pyannote[1528].start 8673.84846875
transcript.pyannote[1528].end 8693.87909375
transcript.pyannote[1529].speaker SPEAKER_29
transcript.pyannote[1529].start 8692.78221875
transcript.pyannote[1529].end 8721.03096875
transcript.pyannote[1530].speaker SPEAKER_31
transcript.pyannote[1530].start 8721.03096875
transcript.pyannote[1530].end 8723.79846875
transcript.pyannote[1531].speaker SPEAKER_31
transcript.pyannote[1531].start 8724.50721875
transcript.pyannote[1531].end 8734.93596875
transcript.pyannote[1532].speaker SPEAKER_31
transcript.pyannote[1532].start 8735.10471875
transcript.pyannote[1532].end 8744.25096875
transcript.pyannote[1533].speaker SPEAKER_31
transcript.pyannote[1533].start 8744.62221875
transcript.pyannote[1533].end 8750.69721875
transcript.pyannote[1534].speaker SPEAKER_31
transcript.pyannote[1534].start 8751.32159375
transcript.pyannote[1534].end 8774.17034375
transcript.pyannote[1535].speaker SPEAKER_25
transcript.pyannote[1535].start 8768.28096875
transcript.pyannote[1535].end 8768.29784375
transcript.pyannote[1536].speaker SPEAKER_46
transcript.pyannote[1536].start 8774.17034375
transcript.pyannote[1536].end 8774.27159375
transcript.pyannote[1537].speaker SPEAKER_31
transcript.pyannote[1537].start 8774.27159375
transcript.pyannote[1537].end 8775.30096875
transcript.pyannote[1538].speaker SPEAKER_31
transcript.pyannote[1538].start 8775.73971875
transcript.pyannote[1538].end 8777.47784375
transcript.pyannote[1539].speaker SPEAKER_31
transcript.pyannote[1539].start 8778.20346875
transcript.pyannote[1539].end 8781.24096875
transcript.pyannote[1540].speaker SPEAKER_31
transcript.pyannote[1540].start 8781.42659375
transcript.pyannote[1540].end 8782.45596875
transcript.pyannote[1541].speaker SPEAKER_31
transcript.pyannote[1541].start 8782.57409375
transcript.pyannote[1541].end 8797.03596875
transcript.pyannote[1542].speaker SPEAKER_31
transcript.pyannote[1542].start 8797.22159375
transcript.pyannote[1542].end 8798.41971875
transcript.pyannote[1543].speaker SPEAKER_31
transcript.pyannote[1543].start 8798.75721875
transcript.pyannote[1543].end 8801.45721875
transcript.pyannote[1544].speaker SPEAKER_31
transcript.pyannote[1544].start 8801.71034375
transcript.pyannote[1544].end 8807.56596875
transcript.pyannote[1545].speaker SPEAKER_31
transcript.pyannote[1545].start 8807.63346875
transcript.pyannote[1545].end 8807.65034375
transcript.pyannote[1546].speaker SPEAKER_46
transcript.pyannote[1546].start 8807.65034375
transcript.pyannote[1546].end 8807.98784375
transcript.pyannote[1547].speaker SPEAKER_31
transcript.pyannote[1547].start 8807.73471875
transcript.pyannote[1547].end 8811.36284375
transcript.pyannote[1548].speaker SPEAKER_31
transcript.pyannote[1548].start 8811.39659375
transcript.pyannote[1548].end 8818.23096875
transcript.pyannote[1549].speaker SPEAKER_31
transcript.pyannote[1549].start 8819.15909375
transcript.pyannote[1549].end 8832.59159375
transcript.pyannote[1550].speaker SPEAKER_31
transcript.pyannote[1550].start 8833.30034375
transcript.pyannote[1550].end 8836.11846875
transcript.pyannote[1551].speaker SPEAKER_31
transcript.pyannote[1551].start 8836.89471875
transcript.pyannote[1551].end 8837.01284375
transcript.pyannote[1552].speaker SPEAKER_31
transcript.pyannote[1552].start 8837.06346875
transcript.pyannote[1552].end 8840.01659375
transcript.pyannote[1553].speaker SPEAKER_31
transcript.pyannote[1553].start 8840.32034375
transcript.pyannote[1553].end 8841.78846875
transcript.pyannote[1554].speaker SPEAKER_31
transcript.pyannote[1554].start 8842.58159375
transcript.pyannote[1554].end 8845.26471875
transcript.pyannote[1555].speaker SPEAKER_31
transcript.pyannote[1555].start 8845.73721875
transcript.pyannote[1555].end 8847.34034375
transcript.pyannote[1556].speaker SPEAKER_31
transcript.pyannote[1556].start 8847.55971875
transcript.pyannote[1556].end 8854.71471875
transcript.pyannote[1557].speaker SPEAKER_31
transcript.pyannote[1557].start 8855.17034375
transcript.pyannote[1557].end 8861.32971875
transcript.pyannote[1558].speaker SPEAKER_31
transcript.pyannote[1558].start 8861.95409375
transcript.pyannote[1558].end 8863.59096875
transcript.pyannote[1559].speaker SPEAKER_29
transcript.pyannote[1559].start 8861.98784375
transcript.pyannote[1559].end 8878.47471875
transcript.pyannote[1560].speaker SPEAKER_31
transcript.pyannote[1560].start 8877.51284375
transcript.pyannote[1560].end 8878.52534375
transcript.pyannote[1561].speaker SPEAKER_29
transcript.pyannote[1561].start 8878.52534375
transcript.pyannote[1561].end 8878.59284375
transcript.pyannote[1562].speaker SPEAKER_31
transcript.pyannote[1562].start 8878.59284375
transcript.pyannote[1562].end 8878.72784375
transcript.pyannote[1563].speaker SPEAKER_29
transcript.pyannote[1563].start 8878.72784375
transcript.pyannote[1563].end 8878.77846875
transcript.pyannote[1564].speaker SPEAKER_31
transcript.pyannote[1564].start 8878.77846875
transcript.pyannote[1564].end 8881.25909375
transcript.pyannote[1565].speaker SPEAKER_29
transcript.pyannote[1565].start 8880.44909375
transcript.pyannote[1565].end 8881.22534375
transcript.pyannote[1566].speaker SPEAKER_29
transcript.pyannote[1566].start 8881.25909375
transcript.pyannote[1566].end 8881.29284375
transcript.pyannote[1567].speaker SPEAKER_31
transcript.pyannote[1567].start 8881.29284375
transcript.pyannote[1567].end 8881.30971875
transcript.pyannote[1568].speaker SPEAKER_29
transcript.pyannote[1568].start 8881.30971875
transcript.pyannote[1568].end 8908.36034375
transcript.pyannote[1569].speaker SPEAKER_31
transcript.pyannote[1569].start 8906.33534375
transcript.pyannote[1569].end 8916.30846875
transcript.pyannote[1570].speaker SPEAKER_29
transcript.pyannote[1570].start 8909.10284375
transcript.pyannote[1570].end 8909.49096875
transcript.pyannote[1571].speaker SPEAKER_31
transcript.pyannote[1571].start 8916.84846875
transcript.pyannote[1571].end 8927.00721875
transcript.pyannote[1572].speaker SPEAKER_31
transcript.pyannote[1572].start 8927.47971875
transcript.pyannote[1572].end 8930.50034375
transcript.pyannote[1573].speaker SPEAKER_31
transcript.pyannote[1573].start 8930.65221875
transcript.pyannote[1573].end 8931.17534375
transcript.pyannote[1574].speaker SPEAKER_31
transcript.pyannote[1574].start 8932.12034375
transcript.pyannote[1574].end 8950.96971875
transcript.pyannote[1575].speaker SPEAKER_46
transcript.pyannote[1575].start 8935.47846875
transcript.pyannote[1575].end 8935.56284375
transcript.pyannote[1576].speaker SPEAKER_46
transcript.pyannote[1576].start 8935.63034375
transcript.pyannote[1576].end 8935.74846875
transcript.pyannote[1577].speaker SPEAKER_46
transcript.pyannote[1577].start 8937.28409375
transcript.pyannote[1577].end 8937.58784375
transcript.pyannote[1578].speaker SPEAKER_29
transcript.pyannote[1578].start 8950.96971875
transcript.pyannote[1578].end 8959.10346875
transcript.pyannote[1579].speaker SPEAKER_31
transcript.pyannote[1579].start 8959.10346875
transcript.pyannote[1579].end 8959.13721875
transcript.pyannote[1580].speaker SPEAKER_29
transcript.pyannote[1580].start 8959.13721875
transcript.pyannote[1580].end 8959.59284375
transcript.pyannote[1581].speaker SPEAKER_31
transcript.pyannote[1581].start 8959.59284375
transcript.pyannote[1581].end 8959.71096875
transcript.pyannote[1582].speaker SPEAKER_29
transcript.pyannote[1582].start 8959.71096875
transcript.pyannote[1582].end 8959.82909375
transcript.pyannote[1583].speaker SPEAKER_31
transcript.pyannote[1583].start 8959.82909375
transcript.pyannote[1583].end 8964.70596875
transcript.pyannote[1584].speaker SPEAKER_31
transcript.pyannote[1584].start 8964.82409375
transcript.pyannote[1584].end 8974.25721875
transcript.pyannote[1585].speaker SPEAKER_31
transcript.pyannote[1585].start 8974.40909375
transcript.pyannote[1585].end 8981.58096875
transcript.pyannote[1586].speaker SPEAKER_31
transcript.pyannote[1586].start 8981.86784375
transcript.pyannote[1586].end 8992.43159375
transcript.pyannote[1587].speaker SPEAKER_31
transcript.pyannote[1587].start 8992.81971875
transcript.pyannote[1587].end 9026.63721875
transcript.pyannote[1588].speaker SPEAKER_31
transcript.pyannote[1588].start 9027.09284375
transcript.pyannote[1588].end 9042.97221875
transcript.pyannote[1589].speaker SPEAKER_29
transcript.pyannote[1589].start 9042.97221875
transcript.pyannote[1589].end 9043.14096875
transcript.pyannote[1590].speaker SPEAKER_31
transcript.pyannote[1590].start 9043.14096875
transcript.pyannote[1590].end 9043.22534375
transcript.pyannote[1591].speaker SPEAKER_29
transcript.pyannote[1591].start 9043.22534375
transcript.pyannote[1591].end 9043.32659375
transcript.pyannote[1592].speaker SPEAKER_31
transcript.pyannote[1592].start 9043.32659375
transcript.pyannote[1592].end 9043.88346875
transcript.pyannote[1593].speaker SPEAKER_29
transcript.pyannote[1593].start 9043.88346875
transcript.pyannote[1593].end 9044.69346875
transcript.pyannote[1594].speaker SPEAKER_07
transcript.pyannote[1594].start 9045.99284375
transcript.pyannote[1594].end 9047.52846875
transcript.pyannote[1595].speaker SPEAKER_07
transcript.pyannote[1595].start 9049.72221875
transcript.pyannote[1595].end 9051.64596875
transcript.pyannote[1596].speaker SPEAKER_07
transcript.pyannote[1596].start 9052.23659375
transcript.pyannote[1596].end 9058.14284375
transcript.pyannote[1597].speaker SPEAKER_07
transcript.pyannote[1597].start 9061.87221875
transcript.pyannote[1597].end 9061.88909375
transcript.pyannote[1598].speaker SPEAKER_42
transcript.pyannote[1598].start 9061.88909375
transcript.pyannote[1598].end 9062.02409375
transcript.pyannote[1599].speaker SPEAKER_07
transcript.pyannote[1599].start 9062.02409375
transcript.pyannote[1599].end 9064.50471875
transcript.pyannote[1600].speaker SPEAKER_07
transcript.pyannote[1600].start 9064.62284375
transcript.pyannote[1600].end 9065.60159375
transcript.pyannote[1601].speaker SPEAKER_42
transcript.pyannote[1601].start 9075.27096875
transcript.pyannote[1601].end 9075.38909375
transcript.pyannote[1602].speaker SPEAKER_16
transcript.pyannote[1602].start 9075.38909375
transcript.pyannote[1602].end 9075.57471875
transcript.pyannote[1603].speaker SPEAKER_42
transcript.pyannote[1603].start 9075.57471875
transcript.pyannote[1603].end 9075.74346875
transcript.pyannote[1604].speaker SPEAKER_16
transcript.pyannote[1604].start 9075.74346875
transcript.pyannote[1604].end 9075.79409375
transcript.pyannote[1605].speaker SPEAKER_42
transcript.pyannote[1605].start 9075.79409375
transcript.pyannote[1605].end 9081.46409375
transcript.pyannote[1606].speaker SPEAKER_46
transcript.pyannote[1606].start 9081.46409375
transcript.pyannote[1606].end 9081.85221875
transcript.pyannote[1607].speaker SPEAKER_42
transcript.pyannote[1607].start 9082.03784375
transcript.pyannote[1607].end 9091.90971875
transcript.pyannote[1608].speaker SPEAKER_42
transcript.pyannote[1608].start 9092.28096875
transcript.pyannote[1608].end 9114.15096875
transcript.pyannote[1609].speaker SPEAKER_42
transcript.pyannote[1609].start 9114.23534375
transcript.pyannote[1609].end 9121.86284375
transcript.pyannote[1610].speaker SPEAKER_29
transcript.pyannote[1610].start 9122.11596875
transcript.pyannote[1610].end 9140.67846875
transcript.pyannote[1611].speaker SPEAKER_42
transcript.pyannote[1611].start 9140.77971875
transcript.pyannote[1611].end 9142.66971875
transcript.pyannote[1612].speaker SPEAKER_29
transcript.pyannote[1612].start 9142.61909375
transcript.pyannote[1612].end 9142.83846875
transcript.pyannote[1613].speaker SPEAKER_42
transcript.pyannote[1613].start 9142.83846875
transcript.pyannote[1613].end 9146.48346875
transcript.pyannote[1614].speaker SPEAKER_29
transcript.pyannote[1614].start 9142.87221875
transcript.pyannote[1614].end 9142.90596875
transcript.pyannote[1615].speaker SPEAKER_29
transcript.pyannote[1615].start 9146.85471875
transcript.pyannote[1615].end 9147.78284375
transcript.pyannote[1616].speaker SPEAKER_42
transcript.pyannote[1616].start 9147.78284375
transcript.pyannote[1616].end 9153.11534375
transcript.pyannote[1617].speaker SPEAKER_29
transcript.pyannote[1617].start 9153.70596875
transcript.pyannote[1617].end 9160.59096875
transcript.pyannote[1618].speaker SPEAKER_42
transcript.pyannote[1618].start 9160.70909375
transcript.pyannote[1618].end 9168.77534375
transcript.pyannote[1619].speaker SPEAKER_42
transcript.pyannote[1619].start 9169.14659375
transcript.pyannote[1619].end 9170.39534375
transcript.pyannote[1620].speaker SPEAKER_42
transcript.pyannote[1620].start 9171.13784375
transcript.pyannote[1620].end 9174.66471875
transcript.pyannote[1621].speaker SPEAKER_42
transcript.pyannote[1621].start 9174.98534375
transcript.pyannote[1621].end 9178.36034375
transcript.pyannote[1622].speaker SPEAKER_46
transcript.pyannote[1622].start 9176.55471875
transcript.pyannote[1622].end 9176.80784375
transcript.pyannote[1623].speaker SPEAKER_42
transcript.pyannote[1623].start 9178.81596875
transcript.pyannote[1623].end 9191.84346875
transcript.pyannote[1624].speaker SPEAKER_46
transcript.pyannote[1624].start 9191.84346875
transcript.pyannote[1624].end 9191.86034375
transcript.pyannote[1625].speaker SPEAKER_42
transcript.pyannote[1625].start 9191.86034375
transcript.pyannote[1625].end 9191.92784375
transcript.pyannote[1626].speaker SPEAKER_46
transcript.pyannote[1626].start 9191.92784375
transcript.pyannote[1626].end 9192.19784375
transcript.pyannote[1627].speaker SPEAKER_29
transcript.pyannote[1627].start 9192.94034375
transcript.pyannote[1627].end 9212.80221875
transcript.pyannote[1628].speaker SPEAKER_42
transcript.pyannote[1628].start 9201.58034375
transcript.pyannote[1628].end 9202.62659375
transcript.pyannote[1629].speaker SPEAKER_42
transcript.pyannote[1629].start 9204.17909375
transcript.pyannote[1629].end 9204.73596875
transcript.pyannote[1630].speaker SPEAKER_46
transcript.pyannote[1630].start 9206.27159375
transcript.pyannote[1630].end 9207.03096875
transcript.pyannote[1631].speaker SPEAKER_38
transcript.pyannote[1631].start 9207.03096875
transcript.pyannote[1631].end 9208.24596875
transcript.pyannote[1632].speaker SPEAKER_46
transcript.pyannote[1632].start 9208.24596875
transcript.pyannote[1632].end 9208.33034375
transcript.pyannote[1633].speaker SPEAKER_38
transcript.pyannote[1633].start 9208.33034375
transcript.pyannote[1633].end 9208.61721875
transcript.pyannote[1634].speaker SPEAKER_38
transcript.pyannote[1634].start 9212.75159375
transcript.pyannote[1634].end 9212.76846875
transcript.pyannote[1635].speaker SPEAKER_38
transcript.pyannote[1635].start 9212.80221875
transcript.pyannote[1635].end 9245.86034375
transcript.pyannote[1636].speaker SPEAKER_42
transcript.pyannote[1636].start 9244.72971875
transcript.pyannote[1636].end 9265.13159375
transcript.pyannote[1637].speaker SPEAKER_38
transcript.pyannote[1637].start 9247.22721875
transcript.pyannote[1637].end 9247.24409375
transcript.pyannote[1638].speaker SPEAKER_38
transcript.pyannote[1638].start 9250.43346875
transcript.pyannote[1638].end 9250.70346875
transcript.pyannote[1639].speaker SPEAKER_46
transcript.pyannote[1639].start 9250.70346875
transcript.pyannote[1639].end 9250.75409375
transcript.pyannote[1640].speaker SPEAKER_38
transcript.pyannote[1640].start 9251.95221875
transcript.pyannote[1640].end 9252.96471875
transcript.pyannote[1641].speaker SPEAKER_46
transcript.pyannote[1641].start 9252.96471875
transcript.pyannote[1641].end 9253.60596875
transcript.pyannote[1642].speaker SPEAKER_46
transcript.pyannote[1642].start 9254.75346875
transcript.pyannote[1642].end 9255.12471875
transcript.pyannote[1643].speaker SPEAKER_00
transcript.pyannote[1643].start 9255.12471875
transcript.pyannote[1643].end 9255.14159375
transcript.pyannote[1644].speaker SPEAKER_29
transcript.pyannote[1644].start 9258.58409375
transcript.pyannote[1644].end 9259.32659375
transcript.pyannote[1645].speaker SPEAKER_29
transcript.pyannote[1645].start 9262.33034375
transcript.pyannote[1645].end 9263.81534375
transcript.pyannote[1646].speaker SPEAKER_29
transcript.pyannote[1646].start 9265.13159375
transcript.pyannote[1646].end 9267.98346875
transcript.pyannote[1647].speaker SPEAKER_42
transcript.pyannote[1647].start 9268.03409375
transcript.pyannote[1647].end 9273.51846875
transcript.pyannote[1648].speaker SPEAKER_29
transcript.pyannote[1648].start 9270.27846875
transcript.pyannote[1648].end 9270.78471875
transcript.pyannote[1649].speaker SPEAKER_42
transcript.pyannote[1649].start 9274.75034375
transcript.pyannote[1649].end 9297.88596875
transcript.pyannote[1650].speaker SPEAKER_42
transcript.pyannote[1650].start 9298.18971875
transcript.pyannote[1650].end 9299.59034375
transcript.pyannote[1651].speaker SPEAKER_42
transcript.pyannote[1651].start 9299.84346875
transcript.pyannote[1651].end 9302.08784375
transcript.pyannote[1652].speaker SPEAKER_42
transcript.pyannote[1652].start 9302.25659375
transcript.pyannote[1652].end 9306.17159375
transcript.pyannote[1653].speaker SPEAKER_42
transcript.pyannote[1653].start 9306.55971875
transcript.pyannote[1653].end 9318.84471875
transcript.pyannote[1654].speaker SPEAKER_06
transcript.pyannote[1654].start 9316.60034375
transcript.pyannote[1654].end 9316.68471875
transcript.pyannote[1655].speaker SPEAKER_42
transcript.pyannote[1655].start 9318.94596875
transcript.pyannote[1655].end 9330.04971875
transcript.pyannote[1656].speaker SPEAKER_42
transcript.pyannote[1656].start 9330.37034375
transcript.pyannote[1656].end 9344.98409375
transcript.pyannote[1657].speaker SPEAKER_42
transcript.pyannote[1657].start 9345.57471875
transcript.pyannote[1657].end 9345.94596875
transcript.pyannote[1658].speaker SPEAKER_42
transcript.pyannote[1658].start 9346.13159375
transcript.pyannote[1658].end 9353.26971875
transcript.pyannote[1659].speaker SPEAKER_42
transcript.pyannote[1659].start 9353.74221875
transcript.pyannote[1659].end 9363.24284375
transcript.pyannote[1660].speaker SPEAKER_46
transcript.pyannote[1660].start 9362.92221875
transcript.pyannote[1660].end 9363.02346875
transcript.pyannote[1661].speaker SPEAKER_42
transcript.pyannote[1661].start 9363.66471875
transcript.pyannote[1661].end 9367.61346875
transcript.pyannote[1662].speaker SPEAKER_42
transcript.pyannote[1662].start 9368.35596875
transcript.pyannote[1662].end 9370.70159375
transcript.pyannote[1663].speaker SPEAKER_42
transcript.pyannote[1663].start 9371.15721875
transcript.pyannote[1663].end 9371.52846875
transcript.pyannote[1664].speaker SPEAKER_42
transcript.pyannote[1664].start 9372.22034375
transcript.pyannote[1664].end 9376.48971875
transcript.pyannote[1665].speaker SPEAKER_29
transcript.pyannote[1665].start 9374.83596875
transcript.pyannote[1665].end 9374.93721875
transcript.pyannote[1666].speaker SPEAKER_46
transcript.pyannote[1666].start 9374.93721875
transcript.pyannote[1666].end 9374.95409375
transcript.pyannote[1667].speaker SPEAKER_29
transcript.pyannote[1667].start 9374.95409375
transcript.pyannote[1667].end 9375.10596875
transcript.pyannote[1668].speaker SPEAKER_42
transcript.pyannote[1668].start 9376.89471875
transcript.pyannote[1668].end 9381.97409375
transcript.pyannote[1669].speaker SPEAKER_29
transcript.pyannote[1669].start 9381.97409375
transcript.pyannote[1669].end 9428.34659375
transcript.pyannote[1670].speaker SPEAKER_36
transcript.pyannote[1670].start 9389.66909375
transcript.pyannote[1670].end 9389.68596875
transcript.pyannote[1671].speaker SPEAKER_16
transcript.pyannote[1671].start 9389.70284375
transcript.pyannote[1671].end 9389.92221875
transcript.pyannote[1672].speaker SPEAKER_42
transcript.pyannote[1672].start 9428.34659375
transcript.pyannote[1672].end 9433.99971875
transcript.pyannote[1673].speaker SPEAKER_29
transcript.pyannote[1673].start 9432.26159375
transcript.pyannote[1673].end 9432.70034375
transcript.pyannote[1674].speaker SPEAKER_29
transcript.pyannote[1674].start 9433.22346875
transcript.pyannote[1674].end 9433.25721875
transcript.pyannote[1675].speaker SPEAKER_29
transcript.pyannote[1675].start 9433.29096875
transcript.pyannote[1675].end 9433.51034375
transcript.pyannote[1676].speaker SPEAKER_29
transcript.pyannote[1676].start 9434.28659375
transcript.pyannote[1676].end 9435.36659375
transcript.pyannote[1677].speaker SPEAKER_42
transcript.pyannote[1677].start 9434.82659375
transcript.pyannote[1677].end 9436.53096875
transcript.pyannote[1678].speaker SPEAKER_29
transcript.pyannote[1678].start 9435.90659375
transcript.pyannote[1678].end 9443.34846875
transcript.pyannote[1679].speaker SPEAKER_42
transcript.pyannote[1679].start 9443.34846875
transcript.pyannote[1679].end 9449.38971875
transcript.pyannote[1680].speaker SPEAKER_29
transcript.pyannote[1680].start 9445.71096875
transcript.pyannote[1680].end 9447.14534375
transcript.pyannote[1681].speaker SPEAKER_42
transcript.pyannote[1681].start 9450.01409375
transcript.pyannote[1681].end 9450.65534375
transcript.pyannote[1682].speaker SPEAKER_42
transcript.pyannote[1682].start 9451.16159375
transcript.pyannote[1682].end 9452.39346875
transcript.pyannote[1683].speaker SPEAKER_42
transcript.pyannote[1683].start 9452.61284375
transcript.pyannote[1683].end 9458.19846875
transcript.pyannote[1684].speaker SPEAKER_42
transcript.pyannote[1684].start 9458.45159375
transcript.pyannote[1684].end 9466.95659375
transcript.pyannote[1685].speaker SPEAKER_46
transcript.pyannote[1685].start 9467.96909375
transcript.pyannote[1685].end 9468.23909375
transcript.pyannote[1686].speaker SPEAKER_42
transcript.pyannote[1686].start 9468.35721875
transcript.pyannote[1686].end 9470.41596875
transcript.pyannote[1687].speaker SPEAKER_42
transcript.pyannote[1687].start 9470.53409375
transcript.pyannote[1687].end 9472.89659375
transcript.pyannote[1688].speaker SPEAKER_42
transcript.pyannote[1688].start 9473.40284375
transcript.pyannote[1688].end 9474.24659375
transcript.pyannote[1689].speaker SPEAKER_42
transcript.pyannote[1689].start 9474.36471875
transcript.pyannote[1689].end 9477.80721875
transcript.pyannote[1690].speaker SPEAKER_42
transcript.pyannote[1690].start 9478.02659375
transcript.pyannote[1690].end 9482.12721875
transcript.pyannote[1691].speaker SPEAKER_42
transcript.pyannote[1691].start 9482.43096875
transcript.pyannote[1691].end 9488.89409375
transcript.pyannote[1692].speaker SPEAKER_29
transcript.pyannote[1692].start 9489.40034375
transcript.pyannote[1692].end 9522.03659375
transcript.pyannote[1693].speaker SPEAKER_42
transcript.pyannote[1693].start 9522.44159375
transcript.pyannote[1693].end 9525.07409375
transcript.pyannote[1694].speaker SPEAKER_29
transcript.pyannote[1694].start 9525.42846875
transcript.pyannote[1694].end 9535.85721875
transcript.pyannote[1695].speaker SPEAKER_42
transcript.pyannote[1695].start 9535.82346875
transcript.pyannote[1695].end 9537.84846875
transcript.pyannote[1696].speaker SPEAKER_49
transcript.pyannote[1696].start 9535.85721875
transcript.pyannote[1696].end 9536.27909375
transcript.pyannote[1697].speaker SPEAKER_29
transcript.pyannote[1697].start 9536.27909375
transcript.pyannote[1697].end 9536.31284375
transcript.pyannote[1698].speaker SPEAKER_49
transcript.pyannote[1698].start 9536.31284375
transcript.pyannote[1698].end 9536.49846875
transcript.pyannote[1699].speaker SPEAKER_29
transcript.pyannote[1699].start 9537.84846875
transcript.pyannote[1699].end 9537.86534375
transcript.pyannote[1700].speaker SPEAKER_49
transcript.pyannote[1700].start 9537.86534375
transcript.pyannote[1700].end 9537.88221875
transcript.pyannote[1701].speaker SPEAKER_49
transcript.pyannote[1701].start 9538.15221875
transcript.pyannote[1701].end 9575.37846875
transcript.pyannote[1702].speaker SPEAKER_42
transcript.pyannote[1702].start 9575.37846875
transcript.pyannote[1702].end 9577.92659375
transcript.pyannote[1703].speaker SPEAKER_49
transcript.pyannote[1703].start 9576.62721875
transcript.pyannote[1703].end 9578.06159375
transcript.pyannote[1704].speaker SPEAKER_07
transcript.pyannote[1704].start 9577.92659375
transcript.pyannote[1704].end 9578.02784375
transcript.pyannote[1705].speaker SPEAKER_42
transcript.pyannote[1705].start 9578.06159375
transcript.pyannote[1705].end 9578.19659375
transcript.pyannote[1706].speaker SPEAKER_07
transcript.pyannote[1706].start 9578.19659375
transcript.pyannote[1706].end 9578.98971875
transcript.pyannote[1707].speaker SPEAKER_42
transcript.pyannote[1707].start 9578.98971875
transcript.pyannote[1707].end 9579.00659375
transcript.pyannote[1708].speaker SPEAKER_49
transcript.pyannote[1708].start 9579.10784375
transcript.pyannote[1708].end 9579.93471875
transcript.pyannote[1709].speaker SPEAKER_07
transcript.pyannote[1709].start 9581.85846875
transcript.pyannote[1709].end 9583.46159375
transcript.pyannote[1710].speaker SPEAKER_07
transcript.pyannote[1710].start 9586.61721875
transcript.pyannote[1710].end 9588.11909375
transcript.pyannote[1711].speaker SPEAKER_34
transcript.pyannote[1711].start 9623.75909375
transcript.pyannote[1711].end 9628.09596875
transcript.pyannote[1712].speaker SPEAKER_46
transcript.pyannote[1712].start 9639.06471875
transcript.pyannote[1712].end 9643.70534375
transcript.pyannote[1713].speaker SPEAKER_46
transcript.pyannote[1713].start 9643.85721875
transcript.pyannote[1713].end 9644.02596875
transcript.pyannote[1714].speaker SPEAKER_43
transcript.pyannote[1714].start 9800.96346875
transcript.pyannote[1714].end 9801.03096875
transcript.pyannote[1715].speaker SPEAKER_00
transcript.pyannote[1715].start 10007.69909375
transcript.pyannote[1715].end 10008.57659375
transcript.pyannote[1716].speaker SPEAKER_01
transcript.pyannote[1716].start 10016.96346875
transcript.pyannote[1716].end 10017.03096875
transcript.pyannote[1717].speaker SPEAKER_01
transcript.pyannote[1717].start 10018.09409375
transcript.pyannote[1717].end 10020.69284375
transcript.pyannote[1718].speaker SPEAKER_01
transcript.pyannote[1718].start 10021.30034375
transcript.pyannote[1718].end 10022.02596875
transcript.pyannote[1719].speaker SPEAKER_01
transcript.pyannote[1719].start 10022.65034375
transcript.pyannote[1719].end 10022.88659375
transcript.pyannote[1720].speaker SPEAKER_01
transcript.pyannote[1720].start 10022.92034375
transcript.pyannote[1720].end 10022.93721875
transcript.pyannote[1721].speaker SPEAKER_46
transcript.pyannote[1721].start 10097.52471875
transcript.pyannote[1721].end 10097.65971875
transcript.pyannote[1722].speaker SPEAKER_44
transcript.pyannote[1722].start 10139.71221875
transcript.pyannote[1722].end 10142.02409375
transcript.pyannote[1723].speaker SPEAKER_27
transcript.pyannote[1723].start 10164.61971875
transcript.pyannote[1723].end 10165.24409375
transcript.pyannote[1724].speaker SPEAKER_07
transcript.pyannote[1724].start 10192.76721875
transcript.pyannote[1724].end 10198.52159375
transcript.pyannote[1725].speaker SPEAKER_44
transcript.pyannote[1725].start 10202.28471875
transcript.pyannote[1725].end 10203.76971875
transcript.pyannote[1726].speaker SPEAKER_44
transcript.pyannote[1726].start 10204.19159375
transcript.pyannote[1726].end 10213.59096875
transcript.pyannote[1727].speaker SPEAKER_44
transcript.pyannote[1727].start 10214.19846875
transcript.pyannote[1727].end 10218.07971875
transcript.pyannote[1728].speaker SPEAKER_44
transcript.pyannote[1728].start 10218.61971875
transcript.pyannote[1728].end 10221.45471875
transcript.pyannote[1729].speaker SPEAKER_44
transcript.pyannote[1729].start 10221.82596875
transcript.pyannote[1729].end 10224.66096875
transcript.pyannote[1730].speaker SPEAKER_44
transcript.pyannote[1730].start 10224.93096875
transcript.pyannote[1730].end 10225.70721875
transcript.pyannote[1731].speaker SPEAKER_44
transcript.pyannote[1731].start 10226.11221875
transcript.pyannote[1731].end 10232.76096875
transcript.pyannote[1732].speaker SPEAKER_44
transcript.pyannote[1732].start 10233.33471875
transcript.pyannote[1732].end 10237.30034375
transcript.pyannote[1733].speaker SPEAKER_44
transcript.pyannote[1733].start 10237.50284375
transcript.pyannote[1733].end 10240.92846875
transcript.pyannote[1734].speaker SPEAKER_44
transcript.pyannote[1734].start 10241.13096875
transcript.pyannote[1734].end 10250.73284375
transcript.pyannote[1735].speaker SPEAKER_44
transcript.pyannote[1735].start 10251.45846875
transcript.pyannote[1735].end 10259.22096875
transcript.pyannote[1736].speaker SPEAKER_44
transcript.pyannote[1736].start 10259.60909375
transcript.pyannote[1736].end 10262.76471875
transcript.pyannote[1737].speaker SPEAKER_44
transcript.pyannote[1737].start 10262.91659375
transcript.pyannote[1737].end 10273.91909375
transcript.pyannote[1738].speaker SPEAKER_07
transcript.pyannote[1738].start 10274.54346875
transcript.pyannote[1738].end 10275.04971875
transcript.pyannote[1739].speaker SPEAKER_07
transcript.pyannote[1739].start 10275.37034375
transcript.pyannote[1739].end 10279.90971875
transcript.pyannote[1740].speaker SPEAKER_07
transcript.pyannote[1740].start 10281.41159375
transcript.pyannote[1740].end 10282.39034375
transcript.pyannote[1741].speaker SPEAKER_27
transcript.pyannote[1741].start 10283.03159375
transcript.pyannote[1741].end 10285.47846875
transcript.pyannote[1742].speaker SPEAKER_07
transcript.pyannote[1742].start 10283.43659375
transcript.pyannote[1742].end 10283.97659375
transcript.pyannote[1743].speaker SPEAKER_27
transcript.pyannote[1743].start 10286.55846875
transcript.pyannote[1743].end 10293.61221875
transcript.pyannote[1744].speaker SPEAKER_31
transcript.pyannote[1744].start 10289.96721875
transcript.pyannote[1744].end 10290.30471875
transcript.pyannote[1745].speaker SPEAKER_27
transcript.pyannote[1745].start 10293.91596875
transcript.pyannote[1745].end 10297.15596875
transcript.pyannote[1746].speaker SPEAKER_27
transcript.pyannote[1746].start 10297.67909375
transcript.pyannote[1746].end 10304.15909375
transcript.pyannote[1747].speaker SPEAKER_27
transcript.pyannote[1747].start 10304.47971875
transcript.pyannote[1747].end 10308.05721875
transcript.pyannote[1748].speaker SPEAKER_27
transcript.pyannote[1748].start 10308.07409375
transcript.pyannote[1748].end 10308.10784375
transcript.pyannote[1749].speaker SPEAKER_27
transcript.pyannote[1749].start 10308.22596875
transcript.pyannote[1749].end 10315.27971875
transcript.pyannote[1750].speaker SPEAKER_27
transcript.pyannote[1750].start 10315.68471875
transcript.pyannote[1750].end 10317.40596875
transcript.pyannote[1751].speaker SPEAKER_27
transcript.pyannote[1751].start 10317.99659375
transcript.pyannote[1751].end 10320.88221875
transcript.pyannote[1752].speaker SPEAKER_27
transcript.pyannote[1752].start 10320.94971875
transcript.pyannote[1752].end 10326.53534375
transcript.pyannote[1753].speaker SPEAKER_27
transcript.pyannote[1753].start 10326.75471875
transcript.pyannote[1753].end 10333.16721875
transcript.pyannote[1754].speaker SPEAKER_27
transcript.pyannote[1754].start 10333.45409375
transcript.pyannote[1754].end 10336.22159375
transcript.pyannote[1755].speaker SPEAKER_27
transcript.pyannote[1755].start 10336.71096875
transcript.pyannote[1755].end 10339.68096875
transcript.pyannote[1756].speaker SPEAKER_27
transcript.pyannote[1756].start 10339.98471875
transcript.pyannote[1756].end 10342.58346875
transcript.pyannote[1757].speaker SPEAKER_07
transcript.pyannote[1757].start 10343.08971875
transcript.pyannote[1757].end 10344.69284375
transcript.pyannote[1758].speaker SPEAKER_07
transcript.pyannote[1758].start 10345.94159375
transcript.pyannote[1758].end 10349.24909375
transcript.pyannote[1759].speaker SPEAKER_00
transcript.pyannote[1759].start 10351.27409375
transcript.pyannote[1759].end 10367.69346875
transcript.pyannote[1760].speaker SPEAKER_00
transcript.pyannote[1760].start 10368.43596875
transcript.pyannote[1760].end 10372.19909375
transcript.pyannote[1761].speaker SPEAKER_00
transcript.pyannote[1761].start 10372.45221875
transcript.pyannote[1761].end 10373.02596875
transcript.pyannote[1762].speaker SPEAKER_07
transcript.pyannote[1762].start 10374.56159375
transcript.pyannote[1762].end 10378.51034375
transcript.pyannote[1763].speaker SPEAKER_07
transcript.pyannote[1763].start 10379.57346875
transcript.pyannote[1763].end 10383.84284375
transcript.pyannote[1764].speaker SPEAKER_07
transcript.pyannote[1764].start 10384.21409375
transcript.pyannote[1764].end 10385.83409375
transcript.pyannote[1765].speaker SPEAKER_20
transcript.pyannote[1765].start 10386.45846875
transcript.pyannote[1765].end 10428.46034375
transcript.pyannote[1766].speaker SPEAKER_07
transcript.pyannote[1766].start 10429.05096875
transcript.pyannote[1766].end 10432.45971875
transcript.pyannote[1767].speaker SPEAKER_45
transcript.pyannote[1767].start 10432.81409375
transcript.pyannote[1767].end 10442.09534375
transcript.pyannote[1768].speaker SPEAKER_45
transcript.pyannote[1768].start 10442.36534375
transcript.pyannote[1768].end 10445.85846875
transcript.pyannote[1769].speaker SPEAKER_45
transcript.pyannote[1769].start 10446.43221875
transcript.pyannote[1769].end 10450.63409375
transcript.pyannote[1770].speaker SPEAKER_45
transcript.pyannote[1770].start 10450.90409375
transcript.pyannote[1770].end 10458.26159375
transcript.pyannote[1771].speaker SPEAKER_45
transcript.pyannote[1771].start 10458.91971875
transcript.pyannote[1771].end 10461.40034375
transcript.pyannote[1772].speaker SPEAKER_45
transcript.pyannote[1772].start 10461.72096875
transcript.pyannote[1772].end 10469.53409375
transcript.pyannote[1773].speaker SPEAKER_45
transcript.pyannote[1773].start 10470.15846875
transcript.pyannote[1773].end 10471.86284375
transcript.pyannote[1774].speaker SPEAKER_20
transcript.pyannote[1774].start 10471.54221875
transcript.pyannote[1774].end 10471.72784375
transcript.pyannote[1775].speaker SPEAKER_20
transcript.pyannote[1775].start 10471.86284375
transcript.pyannote[1775].end 10476.30096875
transcript.pyannote[1776].speaker SPEAKER_07
transcript.pyannote[1776].start 10476.65534375
transcript.pyannote[1776].end 10481.49846875
transcript.pyannote[1777].speaker SPEAKER_07
transcript.pyannote[1777].start 10483.65846875
transcript.pyannote[1777].end 10493.09159375
transcript.pyannote[1778].speaker SPEAKER_27
transcript.pyannote[1778].start 10503.58784375
transcript.pyannote[1778].end 10506.00096875
transcript.pyannote[1779].speaker SPEAKER_27
transcript.pyannote[1779].start 10506.37221875
transcript.pyannote[1779].end 10508.32971875
transcript.pyannote[1780].speaker SPEAKER_07
transcript.pyannote[1780].start 10507.75596875
transcript.pyannote[1780].end 10509.71346875
transcript.pyannote[1781].speaker SPEAKER_27
transcript.pyannote[1781].start 10516.85159375
transcript.pyannote[1781].end 10518.75846875
transcript.pyannote[1782].speaker SPEAKER_35
transcript.pyannote[1782].start 10517.13846875
transcript.pyannote[1782].end 10517.22284375
transcript.pyannote[1783].speaker SPEAKER_46
transcript.pyannote[1783].start 10517.22284375
transcript.pyannote[1783].end 10517.23971875
transcript.pyannote[1784].speaker SPEAKER_35
transcript.pyannote[1784].start 10517.23971875
transcript.pyannote[1784].end 10517.25659375
transcript.pyannote[1785].speaker SPEAKER_46
transcript.pyannote[1785].start 10517.25659375
transcript.pyannote[1785].end 10517.27346875
transcript.pyannote[1786].speaker SPEAKER_35
transcript.pyannote[1786].start 10517.27346875
transcript.pyannote[1786].end 10517.35784375
transcript.pyannote[1787].speaker SPEAKER_35
transcript.pyannote[1787].start 10518.18471875
transcript.pyannote[1787].end 10518.30284375
transcript.pyannote[1788].speaker SPEAKER_46
transcript.pyannote[1788].start 10518.30284375
transcript.pyannote[1788].end 10518.42096875
transcript.pyannote[1789].speaker SPEAKER_35
transcript.pyannote[1789].start 10518.42096875
transcript.pyannote[1789].end 10519.16346875
transcript.pyannote[1790].speaker SPEAKER_46
transcript.pyannote[1790].start 10519.16346875
transcript.pyannote[1790].end 10519.18034375
transcript.pyannote[1791].speaker SPEAKER_27
transcript.pyannote[1791].start 10520.04096875
transcript.pyannote[1791].end 10525.42409375
transcript.pyannote[1792].speaker SPEAKER_27
transcript.pyannote[1792].start 10526.06534375
transcript.pyannote[1792].end 10529.99721875
transcript.pyannote[1793].speaker SPEAKER_27
transcript.pyannote[1793].start 10530.68909375
transcript.pyannote[1793].end 10534.01346875
transcript.pyannote[1794].speaker SPEAKER_27
transcript.pyannote[1794].start 10535.07659375
transcript.pyannote[1794].end 10537.75971875
transcript.pyannote[1795].speaker SPEAKER_27
transcript.pyannote[1795].start 10538.53596875
transcript.pyannote[1795].end 10539.27846875
transcript.pyannote[1796].speaker SPEAKER_27
transcript.pyannote[1796].start 10540.71284375
transcript.pyannote[1796].end 10547.53034375
transcript.pyannote[1797].speaker SPEAKER_27
transcript.pyannote[1797].start 10548.12096875
transcript.pyannote[1797].end 10549.43721875
transcript.pyannote[1798].speaker SPEAKER_27
transcript.pyannote[1798].start 10549.63971875
transcript.pyannote[1798].end 10555.19159375
transcript.pyannote[1799].speaker SPEAKER_27
transcript.pyannote[1799].start 10556.11971875
transcript.pyannote[1799].end 10564.33784375
transcript.pyannote[1800].speaker SPEAKER_27
transcript.pyannote[1800].start 10564.70909375
transcript.pyannote[1800].end 10565.18159375
transcript.pyannote[1801].speaker SPEAKER_27
transcript.pyannote[1801].start 10565.73846875
transcript.pyannote[1801].end 10566.32909375
transcript.pyannote[1802].speaker SPEAKER_27
transcript.pyannote[1802].start 10568.55659375
transcript.pyannote[1802].end 10571.20596875
transcript.pyannote[1803].speaker SPEAKER_27
transcript.pyannote[1803].start 10572.30284375
transcript.pyannote[1803].end 10574.26034375
transcript.pyannote[1804].speaker SPEAKER_27
transcript.pyannote[1804].start 10574.44596875
transcript.pyannote[1804].end 10583.65971875
transcript.pyannote[1805].speaker SPEAKER_27
transcript.pyannote[1805].start 10584.11534375
transcript.pyannote[1805].end 10586.34284375
transcript.pyannote[1806].speaker SPEAKER_27
transcript.pyannote[1806].start 10586.46096875
transcript.pyannote[1806].end 10588.87409375
transcript.pyannote[1807].speaker SPEAKER_27
transcript.pyannote[1807].start 10589.27909375
transcript.pyannote[1807].end 10593.41346875
transcript.pyannote[1808].speaker SPEAKER_27
transcript.pyannote[1808].start 10594.03784375
transcript.pyannote[1808].end 10598.91471875
transcript.pyannote[1809].speaker SPEAKER_27
transcript.pyannote[1809].start 10600.04534375
transcript.pyannote[1809].end 10601.41221875
transcript.pyannote[1810].speaker SPEAKER_27
transcript.pyannote[1810].start 10602.12096875
transcript.pyannote[1810].end 10609.00596875
transcript.pyannote[1811].speaker SPEAKER_27
transcript.pyannote[1811].start 10609.57971875
transcript.pyannote[1811].end 10612.65096875
transcript.pyannote[1812].speaker SPEAKER_27
transcript.pyannote[1812].start 10613.62971875
transcript.pyannote[1812].end 10615.85721875
transcript.pyannote[1813].speaker SPEAKER_27
transcript.pyannote[1813].start 10616.39721875
transcript.pyannote[1813].end 10619.90721875
transcript.pyannote[1814].speaker SPEAKER_27
transcript.pyannote[1814].start 10620.90284375
transcript.pyannote[1814].end 10621.30784375
transcript.pyannote[1815].speaker SPEAKER_27
transcript.pyannote[1815].start 10621.51034375
transcript.pyannote[1815].end 10625.34096875
transcript.pyannote[1816].speaker SPEAKER_29
transcript.pyannote[1816].start 10627.11284375
transcript.pyannote[1816].end 10628.66534375
transcript.pyannote[1817].speaker SPEAKER_27
transcript.pyannote[1817].start 10628.66534375
transcript.pyannote[1817].end 10628.96909375
transcript.pyannote[1818].speaker SPEAKER_29
transcript.pyannote[1818].start 10628.68221875
transcript.pyannote[1818].end 10628.85096875
transcript.pyannote[1819].speaker SPEAKER_29
transcript.pyannote[1819].start 10628.96909375
transcript.pyannote[1819].end 10629.10409375
transcript.pyannote[1820].speaker SPEAKER_27
transcript.pyannote[1820].start 10629.10409375
transcript.pyannote[1820].end 10629.13784375
transcript.pyannote[1821].speaker SPEAKER_29
transcript.pyannote[1821].start 10629.13784375
transcript.pyannote[1821].end 10629.32346875
transcript.pyannote[1822].speaker SPEAKER_27
transcript.pyannote[1822].start 10629.32346875
transcript.pyannote[1822].end 10629.45846875
transcript.pyannote[1823].speaker SPEAKER_29
transcript.pyannote[1823].start 10629.45846875
transcript.pyannote[1823].end 10629.86346875
transcript.pyannote[1824].speaker SPEAKER_27
transcript.pyannote[1824].start 10629.86346875
transcript.pyannote[1824].end 10629.88034375
transcript.pyannote[1825].speaker SPEAKER_35
transcript.pyannote[1825].start 10629.86346875
transcript.pyannote[1825].end 10635.58409375
transcript.pyannote[1826].speaker SPEAKER_29
transcript.pyannote[1826].start 10629.88034375
transcript.pyannote[1826].end 10629.91409375
transcript.pyannote[1827].speaker SPEAKER_35
transcript.pyannote[1827].start 10636.09034375
transcript.pyannote[1827].end 10643.86971875
transcript.pyannote[1828].speaker SPEAKER_35
transcript.pyannote[1828].start 10644.46034375
transcript.pyannote[1828].end 10657.69034375
transcript.pyannote[1829].speaker SPEAKER_27
transcript.pyannote[1829].start 10657.69034375
transcript.pyannote[1829].end 10663.96784375
transcript.pyannote[1830].speaker SPEAKER_35
transcript.pyannote[1830].start 10659.54659375
transcript.pyannote[1830].end 10660.44096875
transcript.pyannote[1831].speaker SPEAKER_35
transcript.pyannote[1831].start 10661.04846875
transcript.pyannote[1831].end 10661.33534375
transcript.pyannote[1832].speaker SPEAKER_27
transcript.pyannote[1832].start 10664.11971875
transcript.pyannote[1832].end 10666.87034375
transcript.pyannote[1833].speaker SPEAKER_27
transcript.pyannote[1833].start 10667.32596875
transcript.pyannote[1833].end 10669.26659375
transcript.pyannote[1834].speaker SPEAKER_39
transcript.pyannote[1834].start 10667.34284375
transcript.pyannote[1834].end 10668.03471875
transcript.pyannote[1835].speaker SPEAKER_35
transcript.pyannote[1835].start 10668.03471875
transcript.pyannote[1835].end 10669.13159375
transcript.pyannote[1836].speaker SPEAKER_35
transcript.pyannote[1836].start 10669.26659375
transcript.pyannote[1836].end 10671.64596875
transcript.pyannote[1837].speaker SPEAKER_27
transcript.pyannote[1837].start 10669.31721875
transcript.pyannote[1837].end 10672.75971875
transcript.pyannote[1838].speaker SPEAKER_35
transcript.pyannote[1838].start 10673.06346875
transcript.pyannote[1838].end 10674.75096875
transcript.pyannote[1839].speaker SPEAKER_27
transcript.pyannote[1839].start 10673.09721875
transcript.pyannote[1839].end 10673.11409375
transcript.pyannote[1840].speaker SPEAKER_27
transcript.pyannote[1840].start 10673.16471875
transcript.pyannote[1840].end 10674.68346875
transcript.pyannote[1841].speaker SPEAKER_35
transcript.pyannote[1841].start 10674.90284375
transcript.pyannote[1841].end 10685.68596875
transcript.pyannote[1842].speaker SPEAKER_35
transcript.pyannote[1842].start 10686.09096875
transcript.pyannote[1842].end 10688.82471875
transcript.pyannote[1843].speaker SPEAKER_35
transcript.pyannote[1843].start 10689.29721875
transcript.pyannote[1843].end 10690.30971875
transcript.pyannote[1844].speaker SPEAKER_35
transcript.pyannote[1844].start 10690.54596875
transcript.pyannote[1844].end 10694.79846875
transcript.pyannote[1845].speaker SPEAKER_35
transcript.pyannote[1845].start 10695.23721875
transcript.pyannote[1845].end 10703.64096875
transcript.pyannote[1846].speaker SPEAKER_35
transcript.pyannote[1846].start 10704.38346875
transcript.pyannote[1846].end 10710.88034375
transcript.pyannote[1847].speaker SPEAKER_35
transcript.pyannote[1847].start 10711.18409375
transcript.pyannote[1847].end 10728.81846875
transcript.pyannote[1848].speaker SPEAKER_35
transcript.pyannote[1848].start 10729.13909375
transcript.pyannote[1848].end 10738.77471875
transcript.pyannote[1849].speaker SPEAKER_35
transcript.pyannote[1849].start 10739.02784375
transcript.pyannote[1849].end 10744.73159375
transcript.pyannote[1850].speaker SPEAKER_35
transcript.pyannote[1850].start 10745.23784375
transcript.pyannote[1850].end 10752.73034375
transcript.pyannote[1851].speaker SPEAKER_27
transcript.pyannote[1851].start 10749.67596875
transcript.pyannote[1851].end 10750.67159375
transcript.pyannote[1852].speaker SPEAKER_27
transcript.pyannote[1852].start 10752.40971875
transcript.pyannote[1852].end 10755.21096875
transcript.pyannote[1853].speaker SPEAKER_27
transcript.pyannote[1853].start 10755.58221875
transcript.pyannote[1853].end 10756.08846875
transcript.pyannote[1854].speaker SPEAKER_27
transcript.pyannote[1854].start 10756.54409375
transcript.pyannote[1854].end 10760.00346875
transcript.pyannote[1855].speaker SPEAKER_27
transcript.pyannote[1855].start 10760.10471875
transcript.pyannote[1855].end 10761.67409375
transcript.pyannote[1856].speaker SPEAKER_46
transcript.pyannote[1856].start 10761.69096875
transcript.pyannote[1856].end 10762.06221875
transcript.pyannote[1857].speaker SPEAKER_27
transcript.pyannote[1857].start 10762.31534375
transcript.pyannote[1857].end 10762.75409375
transcript.pyannote[1858].speaker SPEAKER_27
transcript.pyannote[1858].start 10763.76659375
transcript.pyannote[1858].end 10768.28909375
transcript.pyannote[1859].speaker SPEAKER_27
transcript.pyannote[1859].start 10768.87971875
transcript.pyannote[1859].end 10770.12846875
transcript.pyannote[1860].speaker SPEAKER_27
transcript.pyannote[1860].start 10770.75284375
transcript.pyannote[1860].end 10773.77346875
transcript.pyannote[1861].speaker SPEAKER_27
transcript.pyannote[1861].start 10774.58346875
transcript.pyannote[1861].end 10775.29221875
transcript.pyannote[1862].speaker SPEAKER_27
transcript.pyannote[1862].start 10775.71409375
transcript.pyannote[1862].end 10776.27096875
transcript.pyannote[1863].speaker SPEAKER_27
transcript.pyannote[1863].start 10776.99659375
transcript.pyannote[1863].end 10778.58284375
transcript.pyannote[1864].speaker SPEAKER_29
transcript.pyannote[1864].start 10778.14409375
transcript.pyannote[1864].end 10779.03846875
transcript.pyannote[1865].speaker SPEAKER_27
transcript.pyannote[1865].start 10779.03846875
transcript.pyannote[1865].end 10780.42221875
transcript.pyannote[1866].speaker SPEAKER_29
transcript.pyannote[1866].start 10779.12284375
transcript.pyannote[1866].end 10780.38846875
transcript.pyannote[1867].speaker SPEAKER_27
transcript.pyannote[1867].start 10780.94534375
transcript.pyannote[1867].end 10781.16471875
transcript.pyannote[1868].speaker SPEAKER_27
transcript.pyannote[1868].start 10781.75534375
transcript.pyannote[1868].end 10782.07596875
transcript.pyannote[1869].speaker SPEAKER_27
transcript.pyannote[1869].start 10782.68346875
transcript.pyannote[1869].end 10785.18096875
transcript.pyannote[1870].speaker SPEAKER_27
transcript.pyannote[1870].start 10785.88971875
transcript.pyannote[1870].end 10787.96534375
transcript.pyannote[1871].speaker SPEAKER_27
transcript.pyannote[1871].start 10788.70784375
transcript.pyannote[1871].end 10789.46721875
transcript.pyannote[1872].speaker SPEAKER_27
transcript.pyannote[1872].start 10789.83846875
transcript.pyannote[1872].end 10792.63971875
transcript.pyannote[1873].speaker SPEAKER_27
transcript.pyannote[1873].start 10793.31471875
transcript.pyannote[1873].end 10797.88784375
transcript.pyannote[1874].speaker SPEAKER_27
transcript.pyannote[1874].start 10798.52909375
transcript.pyannote[1874].end 10799.03534375
transcript.pyannote[1875].speaker SPEAKER_27
transcript.pyannote[1875].start 10799.72721875
transcript.pyannote[1875].end 10800.63846875
transcript.pyannote[1876].speaker SPEAKER_27
transcript.pyannote[1876].start 10801.04346875
transcript.pyannote[1876].end 10804.23284375
transcript.pyannote[1877].speaker SPEAKER_27
transcript.pyannote[1877].start 10804.72221875
transcript.pyannote[1877].end 10811.30346875
transcript.pyannote[1878].speaker SPEAKER_27
transcript.pyannote[1878].start 10811.82659375
transcript.pyannote[1878].end 10813.36221875
transcript.pyannote[1879].speaker SPEAKER_27
transcript.pyannote[1879].start 10813.85159375
transcript.pyannote[1879].end 10815.43784375
transcript.pyannote[1880].speaker SPEAKER_27
transcript.pyannote[1880].start 10815.87659375
transcript.pyannote[1880].end 10816.68659375
transcript.pyannote[1881].speaker SPEAKER_27
transcript.pyannote[1881].start 10816.90596875
transcript.pyannote[1881].end 10817.56409375
transcript.pyannote[1882].speaker SPEAKER_27
transcript.pyannote[1882].start 10817.93534375
transcript.pyannote[1882].end 10831.48596875
transcript.pyannote[1883].speaker SPEAKER_27
transcript.pyannote[1883].start 10832.29596875
transcript.pyannote[1883].end 10837.84784375
transcript.pyannote[1884].speaker SPEAKER_27
transcript.pyannote[1884].start 10838.57346875
transcript.pyannote[1884].end 10838.96159375
transcript.pyannote[1885].speaker SPEAKER_27
transcript.pyannote[1885].start 10839.14721875
transcript.pyannote[1885].end 10845.00284375
transcript.pyannote[1886].speaker SPEAKER_27
transcript.pyannote[1886].start 10845.59346875
transcript.pyannote[1886].end 10851.76971875
transcript.pyannote[1887].speaker SPEAKER_27
transcript.pyannote[1887].start 10852.20846875
transcript.pyannote[1887].end 10853.79471875
transcript.pyannote[1888].speaker SPEAKER_27
transcript.pyannote[1888].start 10854.01409375
transcript.pyannote[1888].end 10854.82409375
transcript.pyannote[1889].speaker SPEAKER_27
transcript.pyannote[1889].start 10855.36409375
transcript.pyannote[1889].end 10859.43096875
transcript.pyannote[1890].speaker SPEAKER_46
transcript.pyannote[1890].start 10859.63346875
transcript.pyannote[1890].end 10859.90346875
transcript.pyannote[1891].speaker SPEAKER_27
transcript.pyannote[1891].start 10859.90346875
transcript.pyannote[1891].end 10860.57846875
transcript.pyannote[1892].speaker SPEAKER_27
transcript.pyannote[1892].start 10861.11846875
transcript.pyannote[1892].end 10869.03284375
transcript.pyannote[1893].speaker SPEAKER_27
transcript.pyannote[1893].start 10869.50534375
transcript.pyannote[1893].end 10870.28159375
transcript.pyannote[1894].speaker SPEAKER_27
transcript.pyannote[1894].start 10870.77096875
transcript.pyannote[1894].end 10872.03659375
transcript.pyannote[1895].speaker SPEAKER_27
transcript.pyannote[1895].start 10872.30659375
transcript.pyannote[1895].end 10879.90034375
transcript.pyannote[1896].speaker SPEAKER_27
transcript.pyannote[1896].start 10880.28846875
transcript.pyannote[1896].end 10881.23346875
transcript.pyannote[1897].speaker SPEAKER_27
transcript.pyannote[1897].start 10881.55409375
transcript.pyannote[1897].end 10884.37221875
transcript.pyannote[1898].speaker SPEAKER_27
transcript.pyannote[1898].start 10884.84471875
transcript.pyannote[1898].end 10889.99159375
transcript.pyannote[1899].speaker SPEAKER_27
transcript.pyannote[1899].start 10890.04221875
transcript.pyannote[1899].end 10890.05909375
transcript.pyannote[1900].speaker SPEAKER_27
transcript.pyannote[1900].start 10890.14346875
transcript.pyannote[1900].end 10891.74659375
transcript.pyannote[1901].speaker SPEAKER_27
transcript.pyannote[1901].start 10892.67471875
transcript.pyannote[1901].end 10893.29909375
transcript.pyannote[1902].speaker SPEAKER_27
transcript.pyannote[1902].start 10893.43409375
transcript.pyannote[1902].end 10903.01909375
transcript.pyannote[1903].speaker SPEAKER_27
transcript.pyannote[1903].start 10903.44096875
transcript.pyannote[1903].end 10904.21721875
transcript.pyannote[1904].speaker SPEAKER_27
transcript.pyannote[1904].start 10904.43659375
transcript.pyannote[1904].end 10909.46534375
transcript.pyannote[1905].speaker SPEAKER_27
transcript.pyannote[1905].start 10909.75221875
transcript.pyannote[1905].end 10911.25409375
transcript.pyannote[1906].speaker SPEAKER_27
transcript.pyannote[1906].start 10912.75596875
transcript.pyannote[1906].end 10913.81909375
transcript.pyannote[1907].speaker SPEAKER_27
transcript.pyannote[1907].start 10914.00471875
transcript.pyannote[1907].end 10917.68346875
transcript.pyannote[1908].speaker SPEAKER_27
transcript.pyannote[1908].start 10918.78034375
transcript.pyannote[1908].end 10922.84721875
transcript.pyannote[1909].speaker SPEAKER_27
transcript.pyannote[1909].start 10923.37034375
transcript.pyannote[1909].end 10924.65284375
transcript.pyannote[1910].speaker SPEAKER_27
transcript.pyannote[1910].start 10925.56409375
transcript.pyannote[1910].end 10928.61846875
transcript.pyannote[1911].speaker SPEAKER_27
transcript.pyannote[1911].start 10929.14159375
transcript.pyannote[1911].end 10930.12034375
transcript.pyannote[1912].speaker SPEAKER_27
transcript.pyannote[1912].start 10930.79534375
transcript.pyannote[1912].end 10934.10284375
transcript.pyannote[1913].speaker SPEAKER_27
transcript.pyannote[1913].start 10934.47409375
transcript.pyannote[1913].end 10935.23346875
transcript.pyannote[1914].speaker SPEAKER_27
transcript.pyannote[1914].start 10936.04346875
transcript.pyannote[1914].end 10936.71846875
transcript.pyannote[1915].speaker SPEAKER_27
transcript.pyannote[1915].start 10937.03909375
transcript.pyannote[1915].end 10937.54534375
transcript.pyannote[1916].speaker SPEAKER_27
transcript.pyannote[1916].start 10938.06846875
transcript.pyannote[1916].end 10939.35096875
transcript.pyannote[1917].speaker SPEAKER_27
transcript.pyannote[1917].start 10940.16096875
transcript.pyannote[1917].end 10940.71784375
transcript.pyannote[1918].speaker SPEAKER_27
transcript.pyannote[1918].start 10940.98784375
transcript.pyannote[1918].end 10944.29534375
transcript.pyannote[1919].speaker SPEAKER_27
transcript.pyannote[1919].start 10945.64534375
transcript.pyannote[1919].end 10945.91534375
transcript.pyannote[1920].speaker SPEAKER_27
transcript.pyannote[1920].start 10946.40471875
transcript.pyannote[1920].end 10951.43346875
transcript.pyannote[1921].speaker SPEAKER_27
transcript.pyannote[1921].start 10951.93971875
transcript.pyannote[1921].end 10954.28534375
transcript.pyannote[1922].speaker SPEAKER_27
transcript.pyannote[1922].start 10954.67346875
transcript.pyannote[1922].end 10956.68159375
transcript.pyannote[1923].speaker SPEAKER_27
transcript.pyannote[1923].start 10957.18784375
transcript.pyannote[1923].end 10958.62221875
transcript.pyannote[1924].speaker SPEAKER_27
transcript.pyannote[1924].start 10958.82471875
transcript.pyannote[1924].end 10962.58784375
transcript.pyannote[1925].speaker SPEAKER_27
transcript.pyannote[1925].start 10962.92534375
transcript.pyannote[1925].end 10966.70534375
transcript.pyannote[1926].speaker SPEAKER_27
transcript.pyannote[1926].start 10967.09346875
transcript.pyannote[1926].end 10969.35471875
transcript.pyannote[1927].speaker SPEAKER_27
transcript.pyannote[1927].start 10969.62471875
transcript.pyannote[1927].end 10970.40096875
transcript.pyannote[1928].speaker SPEAKER_27
transcript.pyannote[1928].start 10970.83971875
transcript.pyannote[1928].end 10972.71284375
transcript.pyannote[1929].speaker SPEAKER_27
transcript.pyannote[1929].start 10973.77596875
transcript.pyannote[1929].end 10976.47596875
transcript.pyannote[1930].speaker SPEAKER_27
transcript.pyannote[1930].start 10976.89784375
transcript.pyannote[1930].end 10977.50534375
transcript.pyannote[1931].speaker SPEAKER_27
transcript.pyannote[1931].start 10978.04534375
transcript.pyannote[1931].end 10979.32784375
transcript.pyannote[1932].speaker SPEAKER_27
transcript.pyannote[1932].start 10979.73284375
transcript.pyannote[1932].end 10982.11221875
transcript.pyannote[1933].speaker SPEAKER_27
transcript.pyannote[1933].start 10982.41596875
transcript.pyannote[1933].end 10985.21721875
transcript.pyannote[1934].speaker SPEAKER_27
transcript.pyannote[1934].start 10985.40284375
transcript.pyannote[1934].end 10986.60096875
transcript.pyannote[1935].speaker SPEAKER_27
transcript.pyannote[1935].start 10986.63471875
transcript.pyannote[1935].end 10992.84471875
transcript.pyannote[1936].speaker SPEAKER_27
transcript.pyannote[1936].start 10993.48596875
transcript.pyannote[1936].end 10995.02159375
transcript.pyannote[1937].speaker SPEAKER_27
transcript.pyannote[1937].start 10995.24096875
transcript.pyannote[1937].end 10997.87346875
transcript.pyannote[1938].speaker SPEAKER_27
transcript.pyannote[1938].start 10998.37971875
transcript.pyannote[1938].end 10999.72971875
transcript.pyannote[1939].speaker SPEAKER_27
transcript.pyannote[1939].start 10999.91534375
transcript.pyannote[1939].end 11002.68284375
transcript.pyannote[1940].speaker SPEAKER_27
transcript.pyannote[1940].start 11002.96971875
transcript.pyannote[1940].end 11007.10409375
transcript.pyannote[1941].speaker SPEAKER_35
transcript.pyannote[1941].start 11007.15471875
transcript.pyannote[1941].end 11018.81534375
transcript.pyannote[1942].speaker SPEAKER_35
transcript.pyannote[1942].start 11019.35534375
transcript.pyannote[1942].end 11022.12284375
transcript.pyannote[1943].speaker SPEAKER_27
transcript.pyannote[1943].start 11022.12284375
transcript.pyannote[1943].end 11023.79346875
transcript.pyannote[1944].speaker SPEAKER_35
transcript.pyannote[1944].start 11022.46034375
transcript.pyannote[1944].end 11034.28971875
transcript.pyannote[1945].speaker SPEAKER_27
transcript.pyannote[1945].start 11027.15159375
transcript.pyannote[1945].end 11027.52284375
transcript.pyannote[1946].speaker SPEAKER_27
transcript.pyannote[1946].start 11030.15534375
transcript.pyannote[1946].end 11030.37471875
transcript.pyannote[1947].speaker SPEAKER_27
transcript.pyannote[1947].start 11031.15096875
transcript.pyannote[1947].end 11042.57534375
transcript.pyannote[1948].speaker SPEAKER_27
transcript.pyannote[1948].start 11043.01409375
transcript.pyannote[1948].end 11045.49471875
transcript.pyannote[1949].speaker SPEAKER_27
transcript.pyannote[1949].start 11046.11909375
transcript.pyannote[1949].end 11051.16471875
transcript.pyannote[1950].speaker SPEAKER_27
transcript.pyannote[1950].start 11051.73846875
transcript.pyannote[1950].end 11054.70846875
transcript.pyannote[1951].speaker SPEAKER_27
transcript.pyannote[1951].start 11055.21471875
transcript.pyannote[1951].end 11058.35346875
transcript.pyannote[1952].speaker SPEAKER_27
transcript.pyannote[1952].start 11058.91034375
transcript.pyannote[1952].end 11062.75784375
transcript.pyannote[1953].speaker SPEAKER_27
transcript.pyannote[1953].start 11063.19659375
transcript.pyannote[1953].end 11064.78284375
transcript.pyannote[1954].speaker SPEAKER_49
transcript.pyannote[1954].start 11065.30596875
transcript.pyannote[1954].end 11065.42409375
transcript.pyannote[1955].speaker SPEAKER_27
transcript.pyannote[1955].start 11065.42409375
transcript.pyannote[1955].end 11068.17471875
transcript.pyannote[1956].speaker SPEAKER_27
transcript.pyannote[1956].start 11068.36034375
transcript.pyannote[1956].end 11071.93784375
transcript.pyannote[1957].speaker SPEAKER_27
transcript.pyannote[1957].start 11072.81534375
transcript.pyannote[1957].end 11073.43971875
transcript.pyannote[1958].speaker SPEAKER_27
transcript.pyannote[1958].start 11073.67596875
transcript.pyannote[1958].end 11077.50659375
transcript.pyannote[1959].speaker SPEAKER_27
transcript.pyannote[1959].start 11078.01284375
transcript.pyannote[1959].end 11080.89846875
transcript.pyannote[1960].speaker SPEAKER_27
transcript.pyannote[1960].start 11081.10096875
transcript.pyannote[1960].end 11083.91909375
transcript.pyannote[1961].speaker SPEAKER_27
transcript.pyannote[1961].start 11084.32409375
transcript.pyannote[1961].end 11091.95159375
transcript.pyannote[1962].speaker SPEAKER_27
transcript.pyannote[1962].start 11092.27221875
transcript.pyannote[1962].end 11093.58846875
transcript.pyannote[1963].speaker SPEAKER_27
transcript.pyannote[1963].start 11094.63471875
transcript.pyannote[1963].end 11102.41409375
transcript.pyannote[1964].speaker SPEAKER_46
transcript.pyannote[1964].start 11098.51596875
transcript.pyannote[1964].end 11098.97159375
transcript.pyannote[1965].speaker SPEAKER_00
transcript.pyannote[1965].start 11098.97159375
transcript.pyannote[1965].end 11100.15284375
transcript.pyannote[1966].speaker SPEAKER_27
transcript.pyannote[1966].start 11102.85284375
transcript.pyannote[1966].end 11116.01534375
transcript.pyannote[1967].speaker SPEAKER_46
transcript.pyannote[1967].start 11107.98284375
transcript.pyannote[1967].end 11110.96971875
transcript.pyannote[1968].speaker SPEAKER_33
transcript.pyannote[1968].start 11110.96971875
transcript.pyannote[1968].end 11111.13846875
transcript.pyannote[1969].speaker SPEAKER_46
transcript.pyannote[1969].start 11111.13846875
transcript.pyannote[1969].end 11111.22284375
transcript.pyannote[1970].speaker SPEAKER_33
transcript.pyannote[1970].start 11111.22284375
transcript.pyannote[1970].end 11111.40846875
transcript.pyannote[1971].speaker SPEAKER_00
transcript.pyannote[1971].start 11111.40846875
transcript.pyannote[1971].end 11111.42534375
transcript.pyannote[1972].speaker SPEAKER_27
transcript.pyannote[1972].start 11116.31909375
transcript.pyannote[1972].end 11119.64346875
transcript.pyannote[1973].speaker SPEAKER_46
transcript.pyannote[1973].start 11119.81221875
transcript.pyannote[1973].end 11119.98096875
transcript.pyannote[1974].speaker SPEAKER_27
transcript.pyannote[1974].start 11119.98096875
transcript.pyannote[1974].end 11133.83534375
transcript.pyannote[1975].speaker SPEAKER_46
transcript.pyannote[1975].start 11120.04846875
transcript.pyannote[1975].end 11120.08221875
transcript.pyannote[1976].speaker SPEAKER_37
transcript.pyannote[1976].start 11125.68471875
transcript.pyannote[1976].end 11126.00534375
transcript.pyannote[1977].speaker SPEAKER_37
transcript.pyannote[1977].start 11127.00096875
transcript.pyannote[1977].end 11130.94971875
transcript.pyannote[1978].speaker SPEAKER_27
transcript.pyannote[1978].start 11134.05471875
transcript.pyannote[1978].end 11137.85159375
transcript.pyannote[1979].speaker SPEAKER_35
transcript.pyannote[1979].start 11138.34096875
transcript.pyannote[1979].end 11138.94846875
transcript.pyannote[1980].speaker SPEAKER_27
transcript.pyannote[1980].start 11138.61096875
transcript.pyannote[1980].end 11142.12096875
transcript.pyannote[1981].speaker SPEAKER_35
transcript.pyannote[1981].start 11142.18846875
transcript.pyannote[1981].end 11144.26409375
transcript.pyannote[1982].speaker SPEAKER_27
transcript.pyannote[1982].start 11144.26409375
transcript.pyannote[1982].end 11146.49159375
transcript.pyannote[1983].speaker SPEAKER_35
transcript.pyannote[1983].start 11144.33159375
transcript.pyannote[1983].end 11157.22409375
transcript.pyannote[1984].speaker SPEAKER_27
transcript.pyannote[1984].start 11148.73596875
transcript.pyannote[1984].end 11150.82846875
transcript.pyannote[1985].speaker SPEAKER_27
transcript.pyannote[1985].start 11156.46471875
transcript.pyannote[1985].end 11163.11346875
transcript.pyannote[1986].speaker SPEAKER_35
transcript.pyannote[1986].start 11158.10159375
transcript.pyannote[1986].end 11165.34096875
transcript.pyannote[1987].speaker SPEAKER_27
transcript.pyannote[1987].start 11163.75471875
transcript.pyannote[1987].end 11169.28971875
transcript.pyannote[1988].speaker SPEAKER_37
transcript.pyannote[1988].start 11165.34096875
transcript.pyannote[1988].end 11165.35784375
transcript.pyannote[1989].speaker SPEAKER_35
transcript.pyannote[1989].start 11166.55596875
transcript.pyannote[1989].end 11166.84284375
transcript.pyannote[1990].speaker SPEAKER_35
transcript.pyannote[1990].start 11168.42909375
transcript.pyannote[1990].end 11174.23409375
transcript.pyannote[1991].speaker SPEAKER_27
transcript.pyannote[1991].start 11174.04846875
transcript.pyannote[1991].end 11175.17909375
transcript.pyannote[1992].speaker SPEAKER_27
transcript.pyannote[1992].start 11175.46596875
transcript.pyannote[1992].end 11181.54096875
transcript.pyannote[1993].speaker SPEAKER_27
transcript.pyannote[1993].start 11182.21596875
transcript.pyannote[1993].end 11183.85284375
transcript.pyannote[1994].speaker SPEAKER_35
transcript.pyannote[1994].start 11184.35909375
transcript.pyannote[1994].end 11191.75034375
transcript.pyannote[1995].speaker SPEAKER_46
transcript.pyannote[1995].start 11188.57784375
transcript.pyannote[1995].end 11188.96596875
transcript.pyannote[1996].speaker SPEAKER_46
transcript.pyannote[1996].start 11191.75034375
transcript.pyannote[1996].end 11192.08784375
transcript.pyannote[1997].speaker SPEAKER_35
transcript.pyannote[1997].start 11192.20596875
transcript.pyannote[1997].end 11194.55159375
transcript.pyannote[1998].speaker SPEAKER_46
transcript.pyannote[1998].start 11192.56034375
transcript.pyannote[1998].end 11193.18471875
transcript.pyannote[1999].speaker SPEAKER_35
transcript.pyannote[1999].start 11194.92284375
transcript.pyannote[1999].end 11202.44909375
transcript.pyannote[2000].speaker SPEAKER_27
transcript.pyannote[2000].start 11202.41534375
transcript.pyannote[2000].end 11204.92971875
transcript.pyannote[2001].speaker SPEAKER_35
transcript.pyannote[2001].start 11204.01846875
transcript.pyannote[2001].end 11205.04784375
transcript.pyannote[2002].speaker SPEAKER_27
transcript.pyannote[2002].start 11205.04784375
transcript.pyannote[2002].end 11205.58784375
transcript.pyannote[2003].speaker SPEAKER_35
transcript.pyannote[2003].start 11205.58784375
transcript.pyannote[2003].end 11213.09721875
transcript.pyannote[2004].speaker SPEAKER_27
transcript.pyannote[2004].start 11205.62159375
transcript.pyannote[2004].end 11210.02596875
transcript.pyannote[2005].speaker SPEAKER_27
transcript.pyannote[2005].start 11210.43096875
transcript.pyannote[2005].end 11211.62909375
transcript.pyannote[2006].speaker SPEAKER_27
transcript.pyannote[2006].start 11212.79346875
transcript.pyannote[2006].end 11214.70034375
transcript.pyannote[2007].speaker SPEAKER_35
transcript.pyannote[2007].start 11213.53596875
transcript.pyannote[2007].end 11213.62034375
transcript.pyannote[2008].speaker SPEAKER_35
transcript.pyannote[2008].start 11214.70034375
transcript.pyannote[2008].end 11215.03784375
transcript.pyannote[2009].speaker SPEAKER_27
transcript.pyannote[2009].start 11215.03784375
transcript.pyannote[2009].end 11218.36221875
transcript.pyannote[2010].speaker SPEAKER_35
transcript.pyannote[2010].start 11217.11346875
transcript.pyannote[2010].end 11217.51846875
transcript.pyannote[2011].speaker SPEAKER_35
transcript.pyannote[2011].start 11218.42971875
transcript.pyannote[2011].end 11222.32784375
transcript.pyannote[2012].speaker SPEAKER_27
transcript.pyannote[2012].start 11218.93596875
transcript.pyannote[2012].end 11220.28596875
transcript.pyannote[2013].speaker SPEAKER_27
transcript.pyannote[2013].start 11221.28159375
transcript.pyannote[2013].end 11224.92659375
transcript.pyannote[2014].speaker SPEAKER_35
transcript.pyannote[2014].start 11223.52596875
transcript.pyannote[2014].end 11229.16221875
transcript.pyannote[2015].speaker SPEAKER_27
transcript.pyannote[2015].start 11227.13721875
transcript.pyannote[2015].end 11232.79034375
transcript.pyannote[2016].speaker SPEAKER_35
transcript.pyannote[2016].start 11231.42346875
transcript.pyannote[2016].end 11231.67659375
transcript.pyannote[2017].speaker SPEAKER_27
transcript.pyannote[2017].start 11232.90846875
transcript.pyannote[2017].end 11236.75596875
transcript.pyannote[2018].speaker SPEAKER_35
transcript.pyannote[2018].start 11234.27534375
transcript.pyannote[2018].end 11234.96721875
transcript.pyannote[2019].speaker SPEAKER_39
transcript.pyannote[2019].start 11234.96721875
transcript.pyannote[2019].end 11235.50721875
transcript.pyannote[2020].speaker SPEAKER_07
transcript.pyannote[2020].start 11238.10596875
transcript.pyannote[2020].end 11239.64159375
transcript.pyannote[2021].speaker SPEAKER_07
transcript.pyannote[2021].start 11250.67784375
transcript.pyannote[2021].end 11252.51721875
transcript.pyannote[2022].speaker SPEAKER_20
transcript.pyannote[2022].start 11264.27909375
transcript.pyannote[2022].end 11269.54409375
transcript.pyannote[2023].speaker SPEAKER_07
transcript.pyannote[2023].start 11267.55284375
transcript.pyannote[2023].end 11268.59909375
transcript.pyannote[2024].speaker SPEAKER_07
transcript.pyannote[2024].start 11269.57784375
transcript.pyannote[2024].end 11271.65346875
transcript.pyannote[2025].speaker SPEAKER_20
transcript.pyannote[2025].start 11276.56409375
transcript.pyannote[2025].end 11278.55534375
transcript.pyannote[2026].speaker SPEAKER_20
transcript.pyannote[2026].start 11280.31034375
transcript.pyannote[2026].end 11333.31471875
transcript.pyannote[2027].speaker SPEAKER_43
transcript.pyannote[2027].start 11285.99721875
transcript.pyannote[2027].end 11286.36846875
transcript.pyannote[2028].speaker SPEAKER_00
transcript.pyannote[2028].start 11294.60346875
transcript.pyannote[2028].end 11294.63721875
transcript.pyannote[2029].speaker SPEAKER_43
transcript.pyannote[2029].start 11294.63721875
transcript.pyannote[2029].end 11294.68784375
transcript.pyannote[2030].speaker SPEAKER_00
transcript.pyannote[2030].start 11294.68784375
transcript.pyannote[2030].end 11294.72159375
transcript.pyannote[2031].speaker SPEAKER_00
transcript.pyannote[2031].start 11306.28096875
transcript.pyannote[2031].end 11306.71971875
transcript.pyannote[2032].speaker SPEAKER_33
transcript.pyannote[2032].start 11313.18284375
transcript.pyannote[2032].end 11313.21659375
transcript.pyannote[2033].speaker SPEAKER_46
transcript.pyannote[2033].start 11313.21659375
transcript.pyannote[2033].end 11313.70596875
transcript.pyannote[2034].speaker SPEAKER_29
transcript.pyannote[2034].start 11333.31471875
transcript.pyannote[2034].end 11384.34471875
transcript.pyannote[2035].speaker SPEAKER_30
transcript.pyannote[2035].start 11379.61971875
transcript.pyannote[2035].end 11379.63659375
transcript.pyannote[2036].speaker SPEAKER_20
transcript.pyannote[2036].start 11379.63659375
transcript.pyannote[2036].end 11379.97409375
transcript.pyannote[2037].speaker SPEAKER_20
transcript.pyannote[2037].start 11384.39534375
transcript.pyannote[2037].end 11394.60471875
transcript.pyannote[2038].speaker SPEAKER_29
transcript.pyannote[2038].start 11391.07784375
transcript.pyannote[2038].end 11391.29721875
transcript.pyannote[2039].speaker SPEAKER_29
transcript.pyannote[2039].start 11392.98471875
transcript.pyannote[2039].end 11405.89409375
transcript.pyannote[2040].speaker SPEAKER_20
transcript.pyannote[2040].start 11405.89409375
transcript.pyannote[2040].end 11417.95971875
transcript.pyannote[2041].speaker SPEAKER_29
transcript.pyannote[2041].start 11410.24784375
transcript.pyannote[2041].end 11411.51346875
transcript.pyannote[2042].speaker SPEAKER_01
transcript.pyannote[2042].start 11417.95971875
transcript.pyannote[2042].end 11429.97471875
transcript.pyannote[2043].speaker SPEAKER_01
transcript.pyannote[2043].start 11430.34596875
transcript.pyannote[2043].end 11476.71846875
transcript.pyannote[2044].speaker SPEAKER_20
transcript.pyannote[2044].start 11442.15846875
transcript.pyannote[2044].end 11442.17534375
transcript.pyannote[2045].speaker SPEAKER_20
transcript.pyannote[2045].start 11447.74409375
transcript.pyannote[2045].end 11450.62971875
transcript.pyannote[2046].speaker SPEAKER_20
transcript.pyannote[2046].start 11475.65534375
transcript.pyannote[2046].end 11497.44096875
transcript.pyannote[2047].speaker SPEAKER_00
transcript.pyannote[2047].start 11489.45909375
transcript.pyannote[2047].end 11489.81346875
transcript.pyannote[2048].speaker SPEAKER_20
transcript.pyannote[2048].start 11498.03159375
transcript.pyannote[2048].end 11498.97659375
transcript.pyannote[2049].speaker SPEAKER_29
transcript.pyannote[2049].start 11498.97659375
transcript.pyannote[2049].end 11521.47096875
transcript.pyannote[2050].speaker SPEAKER_46
transcript.pyannote[2050].start 11521.47096875
transcript.pyannote[2050].end 11521.84221875
transcript.pyannote[2051].speaker SPEAKER_29
transcript.pyannote[2051].start 11521.99409375
transcript.pyannote[2051].end 11522.02784375
transcript.pyannote[2052].speaker SPEAKER_20
transcript.pyannote[2052].start 11522.02784375
transcript.pyannote[2052].end 11522.07846875
transcript.pyannote[2053].speaker SPEAKER_29
transcript.pyannote[2053].start 11522.07846875
transcript.pyannote[2053].end 11522.16284375
transcript.pyannote[2054].speaker SPEAKER_20
transcript.pyannote[2054].start 11522.16284375
transcript.pyannote[2054].end 11522.19659375
transcript.pyannote[2055].speaker SPEAKER_29
transcript.pyannote[2055].start 11522.19659375
transcript.pyannote[2055].end 11522.23034375
transcript.pyannote[2056].speaker SPEAKER_20
transcript.pyannote[2056].start 11522.23034375
transcript.pyannote[2056].end 11537.13096875
transcript.pyannote[2057].speaker SPEAKER_29
transcript.pyannote[2057].start 11536.86096875
transcript.pyannote[2057].end 11581.02284375
transcript.pyannote[2058].speaker SPEAKER_39
transcript.pyannote[2058].start 11551.98096875
transcript.pyannote[2058].end 11552.41971875
transcript.pyannote[2059].speaker SPEAKER_39
transcript.pyannote[2059].start 11552.74034375
transcript.pyannote[2059].end 11552.85846875
transcript.pyannote[2060].speaker SPEAKER_20
transcript.pyannote[2060].start 11581.02284375
transcript.pyannote[2060].end 11601.96471875
transcript.pyannote[2061].speaker SPEAKER_00
transcript.pyannote[2061].start 11596.46346875
transcript.pyannote[2061].end 11596.81784375
transcript.pyannote[2062].speaker SPEAKER_29
transcript.pyannote[2062].start 11601.96471875
transcript.pyannote[2062].end 11616.03846875
transcript.pyannote[2063].speaker SPEAKER_20
transcript.pyannote[2063].start 11616.03846875
transcript.pyannote[2063].end 11631.96846875
transcript.pyannote[2064].speaker SPEAKER_29
transcript.pyannote[2064].start 11626.53471875
transcript.pyannote[2064].end 11626.88909375
transcript.pyannote[2065].speaker SPEAKER_29
transcript.pyannote[2065].start 11631.96846875
transcript.pyannote[2065].end 11648.69159375
transcript.pyannote[2066].speaker SPEAKER_20
transcript.pyannote[2066].start 11648.69159375
transcript.pyannote[2066].end 11650.27784375
transcript.pyannote[2067].speaker SPEAKER_29
transcript.pyannote[2067].start 11650.86846875
transcript.pyannote[2067].end 11653.14659375
transcript.pyannote[2068].speaker SPEAKER_38
transcript.pyannote[2068].start 11653.43346875
transcript.pyannote[2068].end 11701.89846875
transcript.pyannote[2069].speaker SPEAKER_20
transcript.pyannote[2069].start 11701.52721875
transcript.pyannote[2069].end 11760.47159375
transcript.pyannote[2070].speaker SPEAKER_29
transcript.pyannote[2070].start 11713.94721875
transcript.pyannote[2070].end 11715.97221875
transcript.pyannote[2071].speaker SPEAKER_00
transcript.pyannote[2071].start 11715.97221875
transcript.pyannote[2071].end 11717.27159375
transcript.pyannote[2072].speaker SPEAKER_20
transcript.pyannote[2072].start 11761.19721875
transcript.pyannote[2072].end 11762.96909375
transcript.pyannote[2073].speaker SPEAKER_35
transcript.pyannote[2073].start 11763.12096875
transcript.pyannote[2073].end 11772.57096875
transcript.pyannote[2074].speaker SPEAKER_35
transcript.pyannote[2074].start 11773.17846875
transcript.pyannote[2074].end 11780.92409375
transcript.pyannote[2075].speaker SPEAKER_35
transcript.pyannote[2075].start 11781.46409375
transcript.pyannote[2075].end 11789.02409375
transcript.pyannote[2076].speaker SPEAKER_35
transcript.pyannote[2076].start 11789.46284375
transcript.pyannote[2076].end 11802.33846875
transcript.pyannote[2077].speaker SPEAKER_35
transcript.pyannote[2077].start 11802.86159375
transcript.pyannote[2077].end 11814.89346875
transcript.pyannote[2078].speaker SPEAKER_20
transcript.pyannote[2078].start 11812.04159375
transcript.pyannote[2078].end 11813.00346875
transcript.pyannote[2079].speaker SPEAKER_20
transcript.pyannote[2079].start 11814.89346875
transcript.pyannote[2079].end 11838.83909375
transcript.pyannote[2080].speaker SPEAKER_00
transcript.pyannote[2080].start 11826.23346875
transcript.pyannote[2080].end 11826.45284375
transcript.pyannote[2081].speaker SPEAKER_29
transcript.pyannote[2081].start 11837.86034375
transcript.pyannote[2081].end 11840.52659375
transcript.pyannote[2082].speaker SPEAKER_20
transcript.pyannote[2082].start 11840.52659375
transcript.pyannote[2082].end 11840.54346875
transcript.pyannote[2083].speaker SPEAKER_29
transcript.pyannote[2083].start 11840.54346875
transcript.pyannote[2083].end 11844.54284375
transcript.pyannote[2084].speaker SPEAKER_20
transcript.pyannote[2084].start 11840.61096875
transcript.pyannote[2084].end 11841.60659375
transcript.pyannote[2085].speaker SPEAKER_20
transcript.pyannote[2085].start 11842.72034375
transcript.pyannote[2085].end 11857.41846875
transcript.pyannote[2086].speaker SPEAKER_07
transcript.pyannote[2086].start 11858.09346875
transcript.pyannote[2086].end 11860.05096875
transcript.pyannote[2087].speaker SPEAKER_20
transcript.pyannote[2087].start 11873.34846875
transcript.pyannote[2087].end 11876.13284375
transcript.pyannote[2088].speaker SPEAKER_07
transcript.pyannote[2088].start 11880.85784375
transcript.pyannote[2088].end 11883.08534375
transcript.pyannote[2089].speaker SPEAKER_20
transcript.pyannote[2089].start 11884.14846875
transcript.pyannote[2089].end 11885.22846875
transcript.pyannote[2090].speaker SPEAKER_07
transcript.pyannote[2090].start 11893.71659375
transcript.pyannote[2090].end 11895.50534375
transcript.pyannote[2091].speaker SPEAKER_46
transcript.pyannote[2091].start 11893.98659375
transcript.pyannote[2091].end 11895.42096875
transcript.pyannote[2092].speaker SPEAKER_07
transcript.pyannote[2092].start 11895.67409375
transcript.pyannote[2092].end 11907.36846875
transcript.pyannote[2093].speaker SPEAKER_46
transcript.pyannote[2093].start 11899.08284375
transcript.pyannote[2093].end 11899.42034375
transcript.pyannote[2094].speaker SPEAKER_07
transcript.pyannote[2094].start 11907.62159375
transcript.pyannote[2094].end 11918.74221875
transcript.pyannote[2095].speaker SPEAKER_07
transcript.pyannote[2095].start 11919.23159375
transcript.pyannote[2095].end 11959.41096875
transcript.pyannote[2096].speaker SPEAKER_00
transcript.pyannote[2096].start 11920.24409375
transcript.pyannote[2096].end 11920.46346875
transcript.pyannote[2097].speaker SPEAKER_46
transcript.pyannote[2097].start 11959.41096875
transcript.pyannote[2097].end 11959.88346875
transcript.pyannote[2098].speaker SPEAKER_07
transcript.pyannote[2098].start 11959.63034375
transcript.pyannote[2098].end 11975.35784375
transcript.pyannote[2099].speaker SPEAKER_07
transcript.pyannote[2099].start 11975.61096875
transcript.pyannote[2099].end 11977.18034375
transcript.pyannote[2100].speaker SPEAKER_07
transcript.pyannote[2100].start 11977.29846875
transcript.pyannote[2100].end 11979.54284375
transcript.pyannote[2101].speaker SPEAKER_07
transcript.pyannote[2101].start 11979.89721875
transcript.pyannote[2101].end 11980.60596875
transcript.pyannote[2102].speaker SPEAKER_07
transcript.pyannote[2102].start 11980.96034375
transcript.pyannote[2102].end 12007.79159375
transcript.pyannote[2103].speaker SPEAKER_07
transcript.pyannote[2103].start 12007.99409375
transcript.pyannote[2103].end 12043.60034375
transcript.pyannote[2104].speaker SPEAKER_00
transcript.pyannote[2104].start 12011.03159375
transcript.pyannote[2104].end 12011.40284375
transcript.pyannote[2105].speaker SPEAKER_00
transcript.pyannote[2105].start 12012.22971875
transcript.pyannote[2105].end 12012.48284375
transcript.pyannote[2106].speaker SPEAKER_46
transcript.pyannote[2106].start 12043.49909375
transcript.pyannote[2106].end 12043.85346875
transcript.pyannote[2107].speaker SPEAKER_07
transcript.pyannote[2107].start 12043.75221875
transcript.pyannote[2107].end 12106.96596875
transcript.pyannote[2108].speaker SPEAKER_46
transcript.pyannote[2108].start 12068.76096875
transcript.pyannote[2108].end 12068.96346875
transcript.pyannote[2109].speaker SPEAKER_00
transcript.pyannote[2109].start 12068.96346875
transcript.pyannote[2109].end 12069.26721875
transcript.pyannote[2110].speaker SPEAKER_39
transcript.pyannote[2110].start 12090.39471875
transcript.pyannote[2110].end 12090.81659375
transcript.pyannote[2111].speaker SPEAKER_00
transcript.pyannote[2111].start 12090.81659375
transcript.pyannote[2111].end 12090.83346875
transcript.pyannote[2112].speaker SPEAKER_39
transcript.pyannote[2112].start 12094.30971875
transcript.pyannote[2112].end 12094.36034375
transcript.pyannote[2113].speaker SPEAKER_46
transcript.pyannote[2113].start 12094.37721875
transcript.pyannote[2113].end 12094.39409375
transcript.pyannote[2114].speaker SPEAKER_39
transcript.pyannote[2114].start 12094.39409375
transcript.pyannote[2114].end 12094.44471875
transcript.pyannote[2115].speaker SPEAKER_39
transcript.pyannote[2115].start 12094.47846875
transcript.pyannote[2115].end 12094.51221875
transcript.pyannote[2116].speaker SPEAKER_46
transcript.pyannote[2116].start 12094.51221875
transcript.pyannote[2116].end 12094.52909375
transcript.pyannote[2117].speaker SPEAKER_39
transcript.pyannote[2117].start 12096.06471875
transcript.pyannote[2117].end 12096.97596875
transcript.pyannote[2118].speaker SPEAKER_46
transcript.pyannote[2118].start 12096.97596875
transcript.pyannote[2118].end 12097.60034375
transcript.pyannote[2119].speaker SPEAKER_07
transcript.pyannote[2119].start 12107.37096875
transcript.pyannote[2119].end 12152.20784375
transcript.pyannote[2120].speaker SPEAKER_00
transcript.pyannote[2120].start 12117.24284375
transcript.pyannote[2120].end 12117.56346875
transcript.pyannote[2121].speaker SPEAKER_07
transcript.pyannote[2121].start 12152.41034375
transcript.pyannote[2121].end 12155.88659375
transcript.pyannote[2122].speaker SPEAKER_07
transcript.pyannote[2122].start 12156.64596875
transcript.pyannote[2122].end 12165.35346875
transcript.pyannote[2123].speaker SPEAKER_07
transcript.pyannote[2123].start 12165.47159375
transcript.pyannote[2123].end 12172.62659375
transcript.pyannote[2124].speaker SPEAKER_07
transcript.pyannote[2124].start 12173.18346875
transcript.pyannote[2124].end 12177.28409375
transcript.pyannote[2125].speaker SPEAKER_29
transcript.pyannote[2125].start 12178.21221875
transcript.pyannote[2125].end 12179.73096875
transcript.pyannote[2126].speaker SPEAKER_29
transcript.pyannote[2126].start 12180.25409375
transcript.pyannote[2126].end 12180.77721875
transcript.pyannote[2127].speaker SPEAKER_07
transcript.pyannote[2127].start 12180.62534375
transcript.pyannote[2127].end 12182.51534375
transcript.pyannote[2128].speaker SPEAKER_29
transcript.pyannote[2128].start 12181.65471875
transcript.pyannote[2128].end 12188.42159375
transcript.pyannote[2129].speaker SPEAKER_07
transcript.pyannote[2129].start 12182.70096875
transcript.pyannote[2129].end 12183.15659375
transcript.pyannote[2130].speaker SPEAKER_07
transcript.pyannote[2130].start 12188.13471875
transcript.pyannote[2130].end 12188.94471875
transcript.pyannote[2131].speaker SPEAKER_29
transcript.pyannote[2131].start 12188.91096875
transcript.pyannote[2131].end 12195.13784375
transcript.pyannote[2132].speaker SPEAKER_39
transcript.pyannote[2132].start 12189.87284375
transcript.pyannote[2132].end 12189.88971875
transcript.pyannote[2133].speaker SPEAKER_07
transcript.pyannote[2133].start 12189.88971875
transcript.pyannote[2133].end 12190.41284375
transcript.pyannote[2134].speaker SPEAKER_07
transcript.pyannote[2134].start 12195.34034375
transcript.pyannote[2134].end 12227.92596875
transcript.pyannote[2135].speaker SPEAKER_29
transcript.pyannote[2135].start 12226.54221875
transcript.pyannote[2135].end 12226.79534375
transcript.pyannote[2136].speaker SPEAKER_29
transcript.pyannote[2136].start 12228.07784375
transcript.pyannote[2136].end 12244.24409375
transcript.pyannote[2137].speaker SPEAKER_07
transcript.pyannote[2137].start 12244.46346875
transcript.pyannote[2137].end 12260.96721875
transcript.pyannote[2138].speaker SPEAKER_00
transcript.pyannote[2138].start 12253.23846875
transcript.pyannote[2138].end 12253.32284375
transcript.pyannote[2139].speaker SPEAKER_29
transcript.pyannote[2139].start 12253.32284375
transcript.pyannote[2139].end 12253.64346875
transcript.pyannote[2140].speaker SPEAKER_29
transcript.pyannote[2140].start 12256.96784375
transcript.pyannote[2140].end 12257.42346875
transcript.pyannote[2141].speaker SPEAKER_29
transcript.pyannote[2141].start 12258.21659375
transcript.pyannote[2141].end 12258.58784375
transcript.pyannote[2142].speaker SPEAKER_29
transcript.pyannote[2142].start 12260.14034375
transcript.pyannote[2142].end 12267.83534375
transcript.pyannote[2143].speaker SPEAKER_07
transcript.pyannote[2143].start 12261.89534375
transcript.pyannote[2143].end 12262.43534375
transcript.pyannote[2144].speaker SPEAKER_07
transcript.pyannote[2144].start 12267.75096875
transcript.pyannote[2144].end 12272.77971875
transcript.pyannote[2145].speaker SPEAKER_29
transcript.pyannote[2145].start 12271.31159375
transcript.pyannote[2145].end 12279.46221875
transcript.pyannote[2146].speaker SPEAKER_07
transcript.pyannote[2146].start 12279.61409375
transcript.pyannote[2146].end 12286.87034375
transcript.pyannote[2147].speaker SPEAKER_46
transcript.pyannote[2147].start 12286.80284375
transcript.pyannote[2147].end 12287.98409375
transcript.pyannote[2148].speaker SPEAKER_07
transcript.pyannote[2148].start 12287.98409375
transcript.pyannote[2148].end 12308.70659375
transcript.pyannote[2149].speaker SPEAKER_46
transcript.pyannote[2149].start 12292.79346875
transcript.pyannote[2149].end 12293.13096875
transcript.pyannote[2150].speaker SPEAKER_07
transcript.pyannote[2150].start 12309.26346875
transcript.pyannote[2150].end 12310.07346875
transcript.pyannote[2151].speaker SPEAKER_29
transcript.pyannote[2151].start 12310.90034375
transcript.pyannote[2151].end 12326.10471875
transcript.pyannote[2152].speaker SPEAKER_07
transcript.pyannote[2152].start 12325.22721875
transcript.pyannote[2152].end 12325.24409375
transcript.pyannote[2153].speaker SPEAKER_46
transcript.pyannote[2153].start 12325.24409375
transcript.pyannote[2153].end 12325.46346875
transcript.pyannote[2154].speaker SPEAKER_07
transcript.pyannote[2154].start 12325.46346875
transcript.pyannote[2154].end 12325.54784375
transcript.pyannote[2155].speaker SPEAKER_07
transcript.pyannote[2155].start 12326.07096875
transcript.pyannote[2155].end 12326.59409375
transcript.pyannote[2156].speaker SPEAKER_29
transcript.pyannote[2156].start 12326.15534375
transcript.pyannote[2156].end 12326.17221875
transcript.pyannote[2157].speaker SPEAKER_29
transcript.pyannote[2157].start 12326.22284375
transcript.pyannote[2157].end 12331.31909375
transcript.pyannote[2158].speaker SPEAKER_07
transcript.pyannote[2158].start 12331.63971875
transcript.pyannote[2158].end 12335.89221875
transcript.pyannote[2159].speaker SPEAKER_07
transcript.pyannote[2159].start 12336.22971875
transcript.pyannote[2159].end 12370.84034375
transcript.pyannote[2160].speaker SPEAKER_29
transcript.pyannote[2160].start 12371.22846875
transcript.pyannote[2160].end 12373.16909375
transcript.pyannote[2161].speaker SPEAKER_07
transcript.pyannote[2161].start 12372.57846875
transcript.pyannote[2161].end 12372.84846875
transcript.pyannote[2162].speaker SPEAKER_38
transcript.pyannote[2162].start 12373.32096875
transcript.pyannote[2162].end 12391.17471875
transcript.pyannote[2163].speaker SPEAKER_07
transcript.pyannote[2163].start 12391.71471875
transcript.pyannote[2163].end 12404.47221875
transcript.pyannote[2164].speaker SPEAKER_07
transcript.pyannote[2164].start 12405.04596875
transcript.pyannote[2164].end 12406.42971875
transcript.pyannote[2165].speaker SPEAKER_39
transcript.pyannote[2165].start 12407.13846875
transcript.pyannote[2165].end 12409.14659375
transcript.pyannote[2166].speaker SPEAKER_38
transcript.pyannote[2166].start 12407.66159375
transcript.pyannote[2166].end 12411.67784375
transcript.pyannote[2167].speaker SPEAKER_07
transcript.pyannote[2167].start 12411.96471875
transcript.pyannote[2167].end 12417.39846875
transcript.pyannote[2168].speaker SPEAKER_38
transcript.pyannote[2168].start 12417.19596875
transcript.pyannote[2168].end 12417.38159375
transcript.pyannote[2169].speaker SPEAKER_38
transcript.pyannote[2169].start 12417.39846875
transcript.pyannote[2169].end 12436.78784375
transcript.pyannote[2170].speaker SPEAKER_07
transcript.pyannote[2170].start 12437.14221875
transcript.pyannote[2170].end 12447.25034375
transcript.pyannote[2171].speaker SPEAKER_39
transcript.pyannote[2171].start 12447.25034375
transcript.pyannote[2171].end 12448.24596875
transcript.pyannote[2172].speaker SPEAKER_07
transcript.pyannote[2172].start 12461.81346875
transcript.pyannote[2172].end 12464.41221875
transcript.pyannote[2173].speaker SPEAKER_12
transcript.pyannote[2173].start 12472.52909375
transcript.pyannote[2173].end 12473.55846875
transcript.pyannote[2174].speaker SPEAKER_12
transcript.pyannote[2174].start 12473.87909375
transcript.pyannote[2174].end 12480.20721875
transcript.pyannote[2175].speaker SPEAKER_07
transcript.pyannote[2175].start 12476.27534375
transcript.pyannote[2175].end 12476.86596875
transcript.pyannote[2176].speaker SPEAKER_07
transcript.pyannote[2176].start 12480.25784375
transcript.pyannote[2176].end 12481.47284375
transcript.pyannote[2177].speaker SPEAKER_12
transcript.pyannote[2177].start 12480.64596875
transcript.pyannote[2177].end 12483.76784375
transcript.pyannote[2178].speaker SPEAKER_07
transcript.pyannote[2178].start 12482.53596875
transcript.pyannote[2178].end 12483.66659375
transcript.pyannote[2179].speaker SPEAKER_12
transcript.pyannote[2179].start 12496.86284375
transcript.pyannote[2179].end 12497.38596875
transcript.pyannote[2180].speaker SPEAKER_39
transcript.pyannote[2180].start 12497.77409375
transcript.pyannote[2180].end 12498.53346875
transcript.pyannote[2181].speaker SPEAKER_12
transcript.pyannote[2181].start 12498.33096875
transcript.pyannote[2181].end 12499.64721875
transcript.pyannote[2182].speaker SPEAKER_12
transcript.pyannote[2182].start 12500.42346875
transcript.pyannote[2182].end 12530.49471875
transcript.pyannote[2183].speaker SPEAKER_39
transcript.pyannote[2183].start 12504.62534375
transcript.pyannote[2183].end 12504.89534375
transcript.pyannote[2184].speaker SPEAKER_46
transcript.pyannote[2184].start 12504.89534375
transcript.pyannote[2184].end 12504.91221875
transcript.pyannote[2185].speaker SPEAKER_39
transcript.pyannote[2185].start 12504.91221875
transcript.pyannote[2185].end 12504.92909375
transcript.pyannote[2186].speaker SPEAKER_43
transcript.pyannote[2186].start 12530.49471875
transcript.pyannote[2186].end 12530.73096875
transcript.pyannote[2187].speaker SPEAKER_12
transcript.pyannote[2187].start 12530.73096875
transcript.pyannote[2187].end 12571.06221875
transcript.pyannote[2188].speaker SPEAKER_00
transcript.pyannote[2188].start 12561.03846875
transcript.pyannote[2188].end 12561.05534375
transcript.pyannote[2189].speaker SPEAKER_46
transcript.pyannote[2189].start 12561.05534375
transcript.pyannote[2189].end 12561.17346875
transcript.pyannote[2190].speaker SPEAKER_29
transcript.pyannote[2190].start 12571.06221875
transcript.pyannote[2190].end 12589.96221875
transcript.pyannote[2191].speaker SPEAKER_00
transcript.pyannote[2191].start 12576.90096875
transcript.pyannote[2191].end 12577.54221875
transcript.pyannote[2192].speaker SPEAKER_12
transcript.pyannote[2192].start 12580.68096875
transcript.pyannote[2192].end 12581.47409375
transcript.pyannote[2193].speaker SPEAKER_12
transcript.pyannote[2193].start 12586.60409375
transcript.pyannote[2193].end 12620.20221875
transcript.pyannote[2194].speaker SPEAKER_29
transcript.pyannote[2194].start 12591.48096875
transcript.pyannote[2194].end 12592.45971875
transcript.pyannote[2195].speaker SPEAKER_29
transcript.pyannote[2195].start 12611.24159375
transcript.pyannote[2195].end 12611.68034375
transcript.pyannote[2196].speaker SPEAKER_29
transcript.pyannote[2196].start 12612.06846875
transcript.pyannote[2196].end 12613.21596875
transcript.pyannote[2197].speaker SPEAKER_29
transcript.pyannote[2197].start 12619.69596875
transcript.pyannote[2197].end 12620.23596875
transcript.pyannote[2198].speaker SPEAKER_12
transcript.pyannote[2198].start 12620.23596875
transcript.pyannote[2198].end 12620.97846875
transcript.pyannote[2199].speaker SPEAKER_29
transcript.pyannote[2199].start 12620.97846875
transcript.pyannote[2199].end 12627.22221875
transcript.pyannote[2200].speaker SPEAKER_38
transcript.pyannote[2200].start 12628.25159375
transcript.pyannote[2200].end 12638.35971875
transcript.pyannote[2201].speaker SPEAKER_12
transcript.pyannote[2201].start 12635.62596875
transcript.pyannote[2201].end 12669.42659375
transcript.pyannote[2202].speaker SPEAKER_38
transcript.pyannote[2202].start 12639.55784375
transcript.pyannote[2202].end 12640.58721875
transcript.pyannote[2203].speaker SPEAKER_12
transcript.pyannote[2203].start 12669.56159375
transcript.pyannote[2203].end 12670.47284375
transcript.pyannote[2204].speaker SPEAKER_12
transcript.pyannote[2204].start 12671.21534375
transcript.pyannote[2204].end 12681.35721875
transcript.pyannote[2205].speaker SPEAKER_12
transcript.pyannote[2205].start 12681.77909375
transcript.pyannote[2205].end 12699.07596875
transcript.pyannote[2206].speaker SPEAKER_12
transcript.pyannote[2206].start 12699.51471875
transcript.pyannote[2206].end 12700.61159375
transcript.pyannote[2207].speaker SPEAKER_29
transcript.pyannote[2207].start 12701.25284375
transcript.pyannote[2207].end 12705.11721875
transcript.pyannote[2208].speaker SPEAKER_12
transcript.pyannote[2208].start 12704.79659375
transcript.pyannote[2208].end 12705.10034375
transcript.pyannote[2209].speaker SPEAKER_12
transcript.pyannote[2209].start 12705.11721875
transcript.pyannote[2209].end 12705.30284375
transcript.pyannote[2210].speaker SPEAKER_29
transcript.pyannote[2210].start 12705.30284375
transcript.pyannote[2210].end 12709.21784375
transcript.pyannote[2211].speaker SPEAKER_12
transcript.pyannote[2211].start 12706.02846875
transcript.pyannote[2211].end 12706.33221875
transcript.pyannote[2212].speaker SPEAKER_12
transcript.pyannote[2212].start 12708.66096875
transcript.pyannote[2212].end 12709.09971875
transcript.pyannote[2213].speaker SPEAKER_12
transcript.pyannote[2213].start 12709.21784375
transcript.pyannote[2213].end 12709.45409375
transcript.pyannote[2214].speaker SPEAKER_29
transcript.pyannote[2214].start 12709.45409375
transcript.pyannote[2214].end 12723.64596875
transcript.pyannote[2215].speaker SPEAKER_12
transcript.pyannote[2215].start 12709.84221875
transcript.pyannote[2215].end 12711.52971875
transcript.pyannote[2216].speaker SPEAKER_12
transcript.pyannote[2216].start 12712.22159375
transcript.pyannote[2216].end 12712.71096875
transcript.pyannote[2217].speaker SPEAKER_12
transcript.pyannote[2217].start 12722.09346875
transcript.pyannote[2217].end 12727.59471875
transcript.pyannote[2218].speaker SPEAKER_29
transcript.pyannote[2218].start 12727.18971875
transcript.pyannote[2218].end 12727.22346875
transcript.pyannote[2219].speaker SPEAKER_43
transcript.pyannote[2219].start 12727.22346875
transcript.pyannote[2219].end 12728.05034375
transcript.pyannote[2220].speaker SPEAKER_12
transcript.pyannote[2220].start 12727.94909375
transcript.pyannote[2220].end 12735.66096875
transcript.pyannote[2221].speaker SPEAKER_12
transcript.pyannote[2221].start 12735.88034375
transcript.pyannote[2221].end 12776.38034375
transcript.pyannote[2222].speaker SPEAKER_29
transcript.pyannote[2222].start 12776.97096875
transcript.pyannote[2222].end 12806.04659375
transcript.pyannote[2223].speaker SPEAKER_46
transcript.pyannote[2223].start 12780.43034375
transcript.pyannote[2223].end 12780.44721875
transcript.pyannote[2224].speaker SPEAKER_12
transcript.pyannote[2224].start 12780.44721875
transcript.pyannote[2224].end 12780.51471875
transcript.pyannote[2225].speaker SPEAKER_46
transcript.pyannote[2225].start 12780.51471875
transcript.pyannote[2225].end 12780.73409375
transcript.pyannote[2226].speaker SPEAKER_12
transcript.pyannote[2226].start 12782.32034375
transcript.pyannote[2226].end 12783.88971875
transcript.pyannote[2227].speaker SPEAKER_46
transcript.pyannote[2227].start 12786.80909375
transcript.pyannote[2227].end 12786.85971875
transcript.pyannote[2228].speaker SPEAKER_24
transcript.pyannote[2228].start 12786.85971875
transcript.pyannote[2228].end 12787.14659375
transcript.pyannote[2229].speaker SPEAKER_46
transcript.pyannote[2229].start 12787.14659375
transcript.pyannote[2229].end 12787.23096875
transcript.pyannote[2230].speaker SPEAKER_24
transcript.pyannote[2230].start 12792.79971875
transcript.pyannote[2230].end 12793.13721875
transcript.pyannote[2231].speaker SPEAKER_12
transcript.pyannote[2231].start 12804.19034375
transcript.pyannote[2231].end 12804.27471875
transcript.pyannote[2232].speaker SPEAKER_12
transcript.pyannote[2232].start 12805.18596875
transcript.pyannote[2232].end 12806.92409375
transcript.pyannote[2233].speaker SPEAKER_29
transcript.pyannote[2233].start 12806.60346875
transcript.pyannote[2233].end 12812.88096875
transcript.pyannote[2234].speaker SPEAKER_12
transcript.pyannote[2234].start 12807.16034375
transcript.pyannote[2234].end 12807.58221875
transcript.pyannote[2235].speaker SPEAKER_12
transcript.pyannote[2235].start 12810.82221875
transcript.pyannote[2235].end 12811.00784375
transcript.pyannote[2236].speaker SPEAKER_12
transcript.pyannote[2236].start 12812.54346875
transcript.pyannote[2236].end 12815.96909375
transcript.pyannote[2237].speaker SPEAKER_29
transcript.pyannote[2237].start 12813.42096875
transcript.pyannote[2237].end 12813.97784375
transcript.pyannote[2238].speaker SPEAKER_29
transcript.pyannote[2238].start 12814.95659375
transcript.pyannote[2238].end 12822.58409375
transcript.pyannote[2239].speaker SPEAKER_12
transcript.pyannote[2239].start 12822.04409375
transcript.pyannote[2239].end 12824.64284375
transcript.pyannote[2240].speaker SPEAKER_12
transcript.pyannote[2240].start 12824.72721875
transcript.pyannote[2240].end 12848.67284375
transcript.pyannote[2241].speaker SPEAKER_12
transcript.pyannote[2241].start 12849.04409375
transcript.pyannote[2241].end 12849.12846875
transcript.pyannote[2242].speaker SPEAKER_29
transcript.pyannote[2242].start 12849.12846875
transcript.pyannote[2242].end 12893.61096875
transcript.pyannote[2243].speaker SPEAKER_12
transcript.pyannote[2243].start 12849.17909375
transcript.pyannote[2243].end 12849.61784375
transcript.pyannote[2244].speaker SPEAKER_39
transcript.pyannote[2244].start 12849.61784375
transcript.pyannote[2244].end 12849.63471875
transcript.pyannote[2245].speaker SPEAKER_39
transcript.pyannote[2245].start 12856.26659375
transcript.pyannote[2245].end 12856.62096875
transcript.pyannote[2246].speaker SPEAKER_00
transcript.pyannote[2246].start 12856.62096875
transcript.pyannote[2246].end 12856.65471875
transcript.pyannote[2247].speaker SPEAKER_39
transcript.pyannote[2247].start 12858.66284375
transcript.pyannote[2247].end 12858.93284375
transcript.pyannote[2248].speaker SPEAKER_39
transcript.pyannote[2248].start 12881.10659375
transcript.pyannote[2248].end 12881.32596875
transcript.pyannote[2249].speaker SPEAKER_12
transcript.pyannote[2249].start 12893.47596875
transcript.pyannote[2249].end 12909.69284375
transcript.pyannote[2250].speaker SPEAKER_46
transcript.pyannote[2250].start 12898.58909375
transcript.pyannote[2250].end 12898.60596875
transcript.pyannote[2251].speaker SPEAKER_29
transcript.pyannote[2251].start 12898.60596875
transcript.pyannote[2251].end 12899.85471875
transcript.pyannote[2252].speaker SPEAKER_46
transcript.pyannote[2252].start 12899.85471875
transcript.pyannote[2252].end 12899.88846875
transcript.pyannote[2253].speaker SPEAKER_12
transcript.pyannote[2253].start 12910.13159375
transcript.pyannote[2253].end 12920.02034375
transcript.pyannote[2254].speaker SPEAKER_46
transcript.pyannote[2254].start 12915.31221875
transcript.pyannote[2254].end 12915.37971875
transcript.pyannote[2255].speaker SPEAKER_43
transcript.pyannote[2255].start 12915.37971875
transcript.pyannote[2255].end 12915.44721875
transcript.pyannote[2256].speaker SPEAKER_12
transcript.pyannote[2256].start 12920.35784375
transcript.pyannote[2256].end 12926.71971875
transcript.pyannote[2257].speaker SPEAKER_29
transcript.pyannote[2257].start 12925.55534375
transcript.pyannote[2257].end 12933.53721875
transcript.pyannote[2258].speaker SPEAKER_12
transcript.pyannote[2258].start 12930.34784375
transcript.pyannote[2258].end 12931.29284375
transcript.pyannote[2259].speaker SPEAKER_12
transcript.pyannote[2259].start 12932.98034375
transcript.pyannote[2259].end 12933.08159375
transcript.pyannote[2260].speaker SPEAKER_12
transcript.pyannote[2260].start 12933.53721875
transcript.pyannote[2260].end 12933.55409375
transcript.pyannote[2261].speaker SPEAKER_07
transcript.pyannote[2261].start 12934.22909375
transcript.pyannote[2261].end 12936.13596875
transcript.pyannote[2262].speaker SPEAKER_07
transcript.pyannote[2262].start 12937.24971875
transcript.pyannote[2262].end 12947.20596875
transcript.pyannote[2263].speaker SPEAKER_33
transcript.pyannote[2263].start 12956.80784375
transcript.pyannote[2263].end 12958.47846875
transcript.pyannote[2264].speaker SPEAKER_07
transcript.pyannote[2264].start 12959.17034375
transcript.pyannote[2264].end 12960.18284375
transcript.pyannote[2265].speaker SPEAKER_33
transcript.pyannote[2265].start 12965.65034375
transcript.pyannote[2265].end 12989.62971875
transcript.pyannote[2266].speaker SPEAKER_33
transcript.pyannote[2266].start 12989.91659375
transcript.pyannote[2266].end 12992.65034375
transcript.pyannote[2267].speaker SPEAKER_33
transcript.pyannote[2267].start 12993.17346875
transcript.pyannote[2267].end 12994.45596875
transcript.pyannote[2268].speaker SPEAKER_29
transcript.pyannote[2268].start 12994.45596875
transcript.pyannote[2268].end 12994.50659375
transcript.pyannote[2269].speaker SPEAKER_33
transcript.pyannote[2269].start 12994.50659375
transcript.pyannote[2269].end 12994.54034375
transcript.pyannote[2270].speaker SPEAKER_29
transcript.pyannote[2270].start 12994.54034375
transcript.pyannote[2270].end 12994.64159375
transcript.pyannote[2271].speaker SPEAKER_33
transcript.pyannote[2271].start 12994.64159375
transcript.pyannote[2271].end 12994.82721875
transcript.pyannote[2272].speaker SPEAKER_29
transcript.pyannote[2272].start 12994.82721875
transcript.pyannote[2272].end 12994.86096875
transcript.pyannote[2273].speaker SPEAKER_29
transcript.pyannote[2273].start 12996.32909375
transcript.pyannote[2273].end 13006.55534375
transcript.pyannote[2274].speaker SPEAKER_33
transcript.pyannote[2274].start 13005.01971875
transcript.pyannote[2274].end 13019.14409375
transcript.pyannote[2275].speaker SPEAKER_31
transcript.pyannote[2275].start 13015.63409375
transcript.pyannote[2275].end 13018.01346875
transcript.pyannote[2276].speaker SPEAKER_33
transcript.pyannote[2276].start 13019.54909375
transcript.pyannote[2276].end 13033.08284375
transcript.pyannote[2277].speaker SPEAKER_33
transcript.pyannote[2277].start 13033.47096875
transcript.pyannote[2277].end 13036.28909375
transcript.pyannote[2278].speaker SPEAKER_29
transcript.pyannote[2278].start 13036.28909375
transcript.pyannote[2278].end 13036.44096875
transcript.pyannote[2279].speaker SPEAKER_33
transcript.pyannote[2279].start 13036.44096875
transcript.pyannote[2279].end 13036.96409375
transcript.pyannote[2280].speaker SPEAKER_29
transcript.pyannote[2280].start 13036.96409375
transcript.pyannote[2280].end 13038.92159375
transcript.pyannote[2281].speaker SPEAKER_29
transcript.pyannote[2281].start 13039.46159375
transcript.pyannote[2281].end 13090.12034375
transcript.pyannote[2282].speaker SPEAKER_24
transcript.pyannote[2282].start 13070.71409375
transcript.pyannote[2282].end 13070.78159375
transcript.pyannote[2283].speaker SPEAKER_20
transcript.pyannote[2283].start 13070.78159375
transcript.pyannote[2283].end 13070.95034375
transcript.pyannote[2284].speaker SPEAKER_24
transcript.pyannote[2284].start 13070.95034375
transcript.pyannote[2284].end 13070.96721875
transcript.pyannote[2285].speaker SPEAKER_39
transcript.pyannote[2285].start 13079.25284375
transcript.pyannote[2285].end 13079.67471875
transcript.pyannote[2286].speaker SPEAKER_00
transcript.pyannote[2286].start 13084.58534375
transcript.pyannote[2286].end 13084.60221875
transcript.pyannote[2287].speaker SPEAKER_39
transcript.pyannote[2287].start 13084.60221875
transcript.pyannote[2287].end 13084.97346875
transcript.pyannote[2288].speaker SPEAKER_00
transcript.pyannote[2288].start 13084.97346875
transcript.pyannote[2288].end 13085.02409375
transcript.pyannote[2289].speaker SPEAKER_33
transcript.pyannote[2289].start 13085.02409375
transcript.pyannote[2289].end 13085.07471875
transcript.pyannote[2290].speaker SPEAKER_00
transcript.pyannote[2290].start 13085.07471875
transcript.pyannote[2290].end 13085.42909375
transcript.pyannote[2291].speaker SPEAKER_29
transcript.pyannote[2291].start 13090.25534375
transcript.pyannote[2291].end 13094.01846875
transcript.pyannote[2292].speaker SPEAKER_33
transcript.pyannote[2292].start 13090.47471875
transcript.pyannote[2292].end 13090.79534375
transcript.pyannote[2293].speaker SPEAKER_33
transcript.pyannote[2293].start 13092.66846875
transcript.pyannote[2293].end 13098.87846875
transcript.pyannote[2294].speaker SPEAKER_33
transcript.pyannote[2294].start 13099.67159375
transcript.pyannote[2294].end 13101.19034375
transcript.pyannote[2295].speaker SPEAKER_33
transcript.pyannote[2295].start 13101.20721875
transcript.pyannote[2295].end 13103.33346875
transcript.pyannote[2296].speaker SPEAKER_33
transcript.pyannote[2296].start 13103.45159375
transcript.pyannote[2296].end 13104.97034375
transcript.pyannote[2297].speaker SPEAKER_46
transcript.pyannote[2297].start 13104.91971875
transcript.pyannote[2297].end 13105.20659375
transcript.pyannote[2298].speaker SPEAKER_33
transcript.pyannote[2298].start 13105.20659375
transcript.pyannote[2298].end 13116.34409375
transcript.pyannote[2299].speaker SPEAKER_33
transcript.pyannote[2299].start 13116.76596875
transcript.pyannote[2299].end 13119.36471875
transcript.pyannote[2300].speaker SPEAKER_33
transcript.pyannote[2300].start 13119.87096875
transcript.pyannote[2300].end 13120.78221875
transcript.pyannote[2301].speaker SPEAKER_33
transcript.pyannote[2301].start 13121.74409375
transcript.pyannote[2301].end 13126.16534375
transcript.pyannote[2302].speaker SPEAKER_33
transcript.pyannote[2302].start 13126.40159375
transcript.pyannote[2302].end 13130.29971875
transcript.pyannote[2303].speaker SPEAKER_33
transcript.pyannote[2303].start 13130.77221875
transcript.pyannote[2303].end 13131.64971875
transcript.pyannote[2304].speaker SPEAKER_33
transcript.pyannote[2304].start 13131.98721875
transcript.pyannote[2304].end 13134.63659375
transcript.pyannote[2305].speaker SPEAKER_33
transcript.pyannote[2305].start 13135.12596875
transcript.pyannote[2305].end 13135.36221875
transcript.pyannote[2306].speaker SPEAKER_33
transcript.pyannote[2306].start 13135.73346875
transcript.pyannote[2306].end 13136.12159375
transcript.pyannote[2307].speaker SPEAKER_33
transcript.pyannote[2307].start 13137.28596875
transcript.pyannote[2307].end 13146.41534375
transcript.pyannote[2308].speaker SPEAKER_33
transcript.pyannote[2308].start 13146.53346875
transcript.pyannote[2308].end 13149.82409375
transcript.pyannote[2309].speaker SPEAKER_33
transcript.pyannote[2309].start 13150.43159375
transcript.pyannote[2309].end 13154.61659375
transcript.pyannote[2310].speaker SPEAKER_33
transcript.pyannote[2310].start 13155.08909375
transcript.pyannote[2310].end 13156.40534375
transcript.pyannote[2311].speaker SPEAKER_33
transcript.pyannote[2311].start 13157.13096875
transcript.pyannote[2311].end 13159.83096875
transcript.pyannote[2312].speaker SPEAKER_29
transcript.pyannote[2312].start 13159.24034375
transcript.pyannote[2312].end 13200.93846875
transcript.pyannote[2313].speaker SPEAKER_16
transcript.pyannote[2313].start 13159.83096875
transcript.pyannote[2313].end 13159.84784375
transcript.pyannote[2314].speaker SPEAKER_16
transcript.pyannote[2314].start 13165.06221875
transcript.pyannote[2314].end 13165.33221875
transcript.pyannote[2315].speaker SPEAKER_16
transcript.pyannote[2315].start 13165.38284375
transcript.pyannote[2315].end 13165.39971875
transcript.pyannote[2316].speaker SPEAKER_33
transcript.pyannote[2316].start 13172.95971875
transcript.pyannote[2316].end 13173.43221875
transcript.pyannote[2317].speaker SPEAKER_46
transcript.pyannote[2317].start 13182.52784375
transcript.pyannote[2317].end 13183.43909375
transcript.pyannote[2318].speaker SPEAKER_22
transcript.pyannote[2318].start 13189.36221875
transcript.pyannote[2318].end 13189.88534375
transcript.pyannote[2319].speaker SPEAKER_29
transcript.pyannote[2319].start 13201.30971875
transcript.pyannote[2319].end 13203.03096875
transcript.pyannote[2320].speaker SPEAKER_33
transcript.pyannote[2320].start 13203.03096875
transcript.pyannote[2320].end 13203.04784375
transcript.pyannote[2321].speaker SPEAKER_29
transcript.pyannote[2321].start 13203.04784375
transcript.pyannote[2321].end 13203.35159375
transcript.pyannote[2322].speaker SPEAKER_33
transcript.pyannote[2322].start 13203.35159375
transcript.pyannote[2322].end 13204.63409375
transcript.pyannote[2323].speaker SPEAKER_29
transcript.pyannote[2323].start 13203.36846875
transcript.pyannote[2323].end 13205.59596875
transcript.pyannote[2324].speaker SPEAKER_33
transcript.pyannote[2324].start 13205.59596875
transcript.pyannote[2324].end 13210.06784375
transcript.pyannote[2325].speaker SPEAKER_33
transcript.pyannote[2325].start 13210.60784375
transcript.pyannote[2325].end 13213.91534375
transcript.pyannote[2326].speaker SPEAKER_33
transcript.pyannote[2326].start 13214.21909375
transcript.pyannote[2326].end 13217.94846875
transcript.pyannote[2327].speaker SPEAKER_46
transcript.pyannote[2327].start 13214.25284375
transcript.pyannote[2327].end 13214.97846875
transcript.pyannote[2328].speaker SPEAKER_46
transcript.pyannote[2328].start 13217.89784375
transcript.pyannote[2328].end 13218.28596875
transcript.pyannote[2329].speaker SPEAKER_33
transcript.pyannote[2329].start 13218.18471875
transcript.pyannote[2329].end 13223.48346875
transcript.pyannote[2330].speaker SPEAKER_33
transcript.pyannote[2330].start 13224.46221875
transcript.pyannote[2330].end 13234.70534375
transcript.pyannote[2331].speaker SPEAKER_29
transcript.pyannote[2331].start 13234.70534375
transcript.pyannote[2331].end 13234.72221875
transcript.pyannote[2332].speaker SPEAKER_33
transcript.pyannote[2332].start 13235.44784375
transcript.pyannote[2332].end 13235.97096875
transcript.pyannote[2333].speaker SPEAKER_29
transcript.pyannote[2333].start 13235.97096875
transcript.pyannote[2333].end 13239.63284375
transcript.pyannote[2334].speaker SPEAKER_38
transcript.pyannote[2334].start 13239.63284375
transcript.pyannote[2334].end 13270.31159375
transcript.pyannote[2335].speaker SPEAKER_29
transcript.pyannote[2335].start 13239.64971875
transcript.pyannote[2335].end 13239.73409375
transcript.pyannote[2336].speaker SPEAKER_29
transcript.pyannote[2336].start 13240.18971875
transcript.pyannote[2336].end 13240.79721875
transcript.pyannote[2337].speaker SPEAKER_33
transcript.pyannote[2337].start 13269.56909375
transcript.pyannote[2337].end 13281.36471875
transcript.pyannote[2338].speaker SPEAKER_38
transcript.pyannote[2338].start 13270.95284375
transcript.pyannote[2338].end 13271.81346875
transcript.pyannote[2339].speaker SPEAKER_33
transcript.pyannote[2339].start 13281.49971875
transcript.pyannote[2339].end 13282.84971875
transcript.pyannote[2340].speaker SPEAKER_33
transcript.pyannote[2340].start 13283.57534375
transcript.pyannote[2340].end 13284.03096875
transcript.pyannote[2341].speaker SPEAKER_33
transcript.pyannote[2341].start 13284.13221875
transcript.pyannote[2341].end 13292.72159375
transcript.pyannote[2342].speaker SPEAKER_33
transcript.pyannote[2342].start 13293.37971875
transcript.pyannote[2342].end 13317.54471875
transcript.pyannote[2343].speaker SPEAKER_40
transcript.pyannote[2343].start 13304.56784375
transcript.pyannote[2343].end 13305.25971875
transcript.pyannote[2344].speaker SPEAKER_29
transcript.pyannote[2344].start 13317.54471875
transcript.pyannote[2344].end 13317.71346875
transcript.pyannote[2345].speaker SPEAKER_33
transcript.pyannote[2345].start 13317.71346875
transcript.pyannote[2345].end 13317.96659375
transcript.pyannote[2346].speaker SPEAKER_29
transcript.pyannote[2346].start 13317.96659375
transcript.pyannote[2346].end 13334.33534375
transcript.pyannote[2347].speaker SPEAKER_33
transcript.pyannote[2347].start 13334.11596875
transcript.pyannote[2347].end 13334.28471875
transcript.pyannote[2348].speaker SPEAKER_33
transcript.pyannote[2348].start 13334.33534375
transcript.pyannote[2348].end 13335.71909375
transcript.pyannote[2349].speaker SPEAKER_29
transcript.pyannote[2349].start 13335.71909375
transcript.pyannote[2349].end 13336.20846875
transcript.pyannote[2350].speaker SPEAKER_33
transcript.pyannote[2350].start 13335.87096875
transcript.pyannote[2350].end 13335.97221875
transcript.pyannote[2351].speaker SPEAKER_33
transcript.pyannote[2351].start 13336.20846875
transcript.pyannote[2351].end 13336.90034375
transcript.pyannote[2352].speaker SPEAKER_29
transcript.pyannote[2352].start 13336.90034375
transcript.pyannote[2352].end 13337.45721875
transcript.pyannote[2353].speaker SPEAKER_33
transcript.pyannote[2353].start 13338.82409375
transcript.pyannote[2353].end 13339.09409375
transcript.pyannote[2354].speaker SPEAKER_29
transcript.pyannote[2354].start 13339.09409375
transcript.pyannote[2354].end 13339.12784375
transcript.pyannote[2355].speaker SPEAKER_33
transcript.pyannote[2355].start 13339.12784375
transcript.pyannote[2355].end 13339.34721875
transcript.pyannote[2356].speaker SPEAKER_07
transcript.pyannote[2356].start 13339.80284375
transcript.pyannote[2356].end 13341.13596875
transcript.pyannote[2357].speaker SPEAKER_07
transcript.pyannote[2357].start 13342.73909375
transcript.pyannote[2357].end 13344.78096875
transcript.pyannote[2358].speaker SPEAKER_41
transcript.pyannote[2358].start 13354.46721875
transcript.pyannote[2358].end 13355.49659375
transcript.pyannote[2359].speaker SPEAKER_41
transcript.pyannote[2359].start 13355.93534375
transcript.pyannote[2359].end 13357.52159375
transcript.pyannote[2360].speaker SPEAKER_07
transcript.pyannote[2360].start 13357.58909375
transcript.pyannote[2360].end 13358.63534375
transcript.pyannote[2361].speaker SPEAKER_41
transcript.pyannote[2361].start 13363.86659375
transcript.pyannote[2361].end 13366.90409375
transcript.pyannote[2362].speaker SPEAKER_41
transcript.pyannote[2362].start 13367.54534375
transcript.pyannote[2362].end 13372.00034375
transcript.pyannote[2363].speaker SPEAKER_46
transcript.pyannote[2363].start 13371.76409375
transcript.pyannote[2363].end 13371.94971875
transcript.pyannote[2364].speaker SPEAKER_46
transcript.pyannote[2364].start 13372.00034375
transcript.pyannote[2364].end 13372.32096875
transcript.pyannote[2365].speaker SPEAKER_41
transcript.pyannote[2365].start 13372.43909375
transcript.pyannote[2365].end 13379.96534375
transcript.pyannote[2366].speaker SPEAKER_41
transcript.pyannote[2366].start 13380.40409375
transcript.pyannote[2366].end 13414.08659375
transcript.pyannote[2367].speaker SPEAKER_41
transcript.pyannote[2367].start 13414.55909375
transcript.pyannote[2367].end 13430.26971875
transcript.pyannote[2368].speaker SPEAKER_41
transcript.pyannote[2368].start 13430.35409375
transcript.pyannote[2368].end 13437.39096875
transcript.pyannote[2369].speaker SPEAKER_41
transcript.pyannote[2369].start 13437.79596875
transcript.pyannote[2369].end 13448.44409375
transcript.pyannote[2370].speaker SPEAKER_41
transcript.pyannote[2370].start 13448.91659375
transcript.pyannote[2370].end 13469.47034375
transcript.pyannote[2371].speaker SPEAKER_41
transcript.pyannote[2371].start 13469.67284375
transcript.pyannote[2371].end 13473.77346875
transcript.pyannote[2372].speaker SPEAKER_29
transcript.pyannote[2372].start 13473.77346875
transcript.pyannote[2372].end 13473.82409375
transcript.pyannote[2373].speaker SPEAKER_29
transcript.pyannote[2373].start 13474.29659375
transcript.pyannote[2373].end 13485.16409375
transcript.pyannote[2374].speaker SPEAKER_41
transcript.pyannote[2374].start 13485.01221875
transcript.pyannote[2374].end 13506.03846875
transcript.pyannote[2375].speaker SPEAKER_23
transcript.pyannote[2375].start 13502.51159375
transcript.pyannote[2375].end 13502.76471875
transcript.pyannote[2376].speaker SPEAKER_46
transcript.pyannote[2376].start 13502.76471875
transcript.pyannote[2376].end 13502.78159375
transcript.pyannote[2377].speaker SPEAKER_41
transcript.pyannote[2377].start 13506.13971875
transcript.pyannote[2377].end 13510.69596875
transcript.pyannote[2378].speaker SPEAKER_39
transcript.pyannote[2378].start 13510.64534375
transcript.pyannote[2378].end 13510.88159375
transcript.pyannote[2379].speaker SPEAKER_41
transcript.pyannote[2379].start 13510.88159375
transcript.pyannote[2379].end 13542.58971875
transcript.pyannote[2380].speaker SPEAKER_39
transcript.pyannote[2380].start 13510.89846875
transcript.pyannote[2380].end 13510.91534375
transcript.pyannote[2381].speaker SPEAKER_39
transcript.pyannote[2381].start 13517.98596875
transcript.pyannote[2381].end 13518.35721875
transcript.pyannote[2382].speaker SPEAKER_00
transcript.pyannote[2382].start 13525.05659375
transcript.pyannote[2382].end 13525.84971875
transcript.pyannote[2383].speaker SPEAKER_41
transcript.pyannote[2383].start 13542.99471875
transcript.pyannote[2383].end 13551.34784375
transcript.pyannote[2384].speaker SPEAKER_41
transcript.pyannote[2384].start 13551.71909375
transcript.pyannote[2384].end 13564.39221875
transcript.pyannote[2385].speaker SPEAKER_00
transcript.pyannote[2385].start 13552.68096875
transcript.pyannote[2385].end 13552.69784375
transcript.pyannote[2386].speaker SPEAKER_46
transcript.pyannote[2386].start 13552.69784375
transcript.pyannote[2386].end 13552.98471875
transcript.pyannote[2387].speaker SPEAKER_29
transcript.pyannote[2387].start 13560.73034375
transcript.pyannote[2387].end 13561.94534375
transcript.pyannote[2388].speaker SPEAKER_29
transcript.pyannote[2388].start 13561.97909375
transcript.pyannote[2388].end 13562.94096875
transcript.pyannote[2389].speaker SPEAKER_41
transcript.pyannote[2389].start 13564.93221875
transcript.pyannote[2389].end 13564.98284375
transcript.pyannote[2390].speaker SPEAKER_29
transcript.pyannote[2390].start 13564.98284375
transcript.pyannote[2390].end 13565.05034375
transcript.pyannote[2391].speaker SPEAKER_41
transcript.pyannote[2391].start 13565.05034375
transcript.pyannote[2391].end 13565.18534375
transcript.pyannote[2392].speaker SPEAKER_29
transcript.pyannote[2392].start 13565.18534375
transcript.pyannote[2392].end 13565.21909375
transcript.pyannote[2393].speaker SPEAKER_41
transcript.pyannote[2393].start 13565.21909375
transcript.pyannote[2393].end 13565.35409375
transcript.pyannote[2394].speaker SPEAKER_29
transcript.pyannote[2394].start 13565.35409375
transcript.pyannote[2394].end 13565.37096875
transcript.pyannote[2395].speaker SPEAKER_41
transcript.pyannote[2395].start 13565.37096875
transcript.pyannote[2395].end 13565.38784375
transcript.pyannote[2396].speaker SPEAKER_29
transcript.pyannote[2396].start 13565.38784375
transcript.pyannote[2396].end 13566.16409375
transcript.pyannote[2397].speaker SPEAKER_38
transcript.pyannote[2397].start 13566.16409375
transcript.pyannote[2397].end 13582.26284375
transcript.pyannote[2398].speaker SPEAKER_29
transcript.pyannote[2398].start 13579.49534375
transcript.pyannote[2398].end 13579.52909375
transcript.pyannote[2399].speaker SPEAKER_29
transcript.pyannote[2399].start 13580.77784375
transcript.pyannote[2399].end 13595.05409375
transcript.pyannote[2400].speaker SPEAKER_38
transcript.pyannote[2400].start 13584.86159375
transcript.pyannote[2400].end 13585.01346875
transcript.pyannote[2401].speaker SPEAKER_41
transcript.pyannote[2401].start 13595.05409375
transcript.pyannote[2401].end 13604.90909375
transcript.pyannote[2402].speaker SPEAKER_41
transcript.pyannote[2402].start 13605.12846875
transcript.pyannote[2402].end 13606.25909375
transcript.pyannote[2403].speaker SPEAKER_29
transcript.pyannote[2403].start 13606.25909375
transcript.pyannote[2403].end 13606.30971875
transcript.pyannote[2404].speaker SPEAKER_29
transcript.pyannote[2404].start 13606.59659375
transcript.pyannote[2404].end 13606.61346875
transcript.pyannote[2405].speaker SPEAKER_41
transcript.pyannote[2405].start 13606.61346875
transcript.pyannote[2405].end 13610.44409375
transcript.pyannote[2406].speaker SPEAKER_29
transcript.pyannote[2406].start 13607.37284375
transcript.pyannote[2406].end 13607.87909375
transcript.pyannote[2407].speaker SPEAKER_29
transcript.pyannote[2407].start 13608.36846875
transcript.pyannote[2407].end 13614.76409375
transcript.pyannote[2408].speaker SPEAKER_41
transcript.pyannote[2408].start 13613.80221875
transcript.pyannote[2408].end 13641.13971875
transcript.pyannote[2409].speaker SPEAKER_29
transcript.pyannote[2409].start 13615.27034375
transcript.pyannote[2409].end 13616.97471875
transcript.pyannote[2410].speaker SPEAKER_41
transcript.pyannote[2410].start 13642.50659375
transcript.pyannote[2410].end 13644.48096875
transcript.pyannote[2411].speaker SPEAKER_38
transcript.pyannote[2411].start 13644.26159375
transcript.pyannote[2411].end 13670.73846875
transcript.pyannote[2412].speaker SPEAKER_41
transcript.pyannote[2412].start 13651.56846875
transcript.pyannote[2412].end 13651.75409375
transcript.pyannote[2413].speaker SPEAKER_29
transcript.pyannote[2413].start 13669.59096875
transcript.pyannote[2413].end 13670.02971875
transcript.pyannote[2414].speaker SPEAKER_41
transcript.pyannote[2414].start 13670.02971875
transcript.pyannote[2414].end 13670.83971875
transcript.pyannote[2415].speaker SPEAKER_38
transcript.pyannote[2415].start 13670.83971875
transcript.pyannote[2415].end 13672.18971875
transcript.pyannote[2416].speaker SPEAKER_41
transcript.pyannote[2416].start 13670.95784375
transcript.pyannote[2416].end 13673.28659375
transcript.pyannote[2417].speaker SPEAKER_38
transcript.pyannote[2417].start 13672.44284375
transcript.pyannote[2417].end 13674.82221875
transcript.pyannote[2418].speaker SPEAKER_41
transcript.pyannote[2418].start 13674.65346875
transcript.pyannote[2418].end 13686.97221875
transcript.pyannote[2419].speaker SPEAKER_29
transcript.pyannote[2419].start 13686.97221875
transcript.pyannote[2419].end 13697.82284375
transcript.pyannote[2420].speaker SPEAKER_41
transcript.pyannote[2420].start 13697.82284375
transcript.pyannote[2420].end 13701.34971875
transcript.pyannote[2421].speaker SPEAKER_41
transcript.pyannote[2421].start 13702.53096875
transcript.pyannote[2421].end 13702.58159375
transcript.pyannote[2422].speaker SPEAKER_29
transcript.pyannote[2422].start 13702.58159375
transcript.pyannote[2422].end 13713.56721875
transcript.pyannote[2423].speaker SPEAKER_41
transcript.pyannote[2423].start 13712.50409375
transcript.pyannote[2423].end 13713.33096875
transcript.pyannote[2424].speaker SPEAKER_41
transcript.pyannote[2424].start 13713.56721875
transcript.pyannote[2424].end 13716.25034375
transcript.pyannote[2425].speaker SPEAKER_29
transcript.pyannote[2425].start 13714.47846875
transcript.pyannote[2425].end 13720.43534375
transcript.pyannote[2426].speaker SPEAKER_41
transcript.pyannote[2426].start 13719.20346875
transcript.pyannote[2426].end 13720.89096875
transcript.pyannote[2427].speaker SPEAKER_29
transcript.pyannote[2427].start 13720.89096875
transcript.pyannote[2427].end 13720.90784375
transcript.pyannote[2428].speaker SPEAKER_41
transcript.pyannote[2428].start 13720.90784375
transcript.pyannote[2428].end 13733.49659375
transcript.pyannote[2429].speaker SPEAKER_29
transcript.pyannote[2429].start 13720.94159375
transcript.pyannote[2429].end 13721.00909375
transcript.pyannote[2430].speaker SPEAKER_00
transcript.pyannote[2430].start 13728.92346875
transcript.pyannote[2430].end 13729.95284375
transcript.pyannote[2431].speaker SPEAKER_41
transcript.pyannote[2431].start 13733.69909375
transcript.pyannote[2431].end 13745.98409375
transcript.pyannote[2432].speaker SPEAKER_07
transcript.pyannote[2432].start 13744.41471875
transcript.pyannote[2432].end 13744.65096875
transcript.pyannote[2433].speaker SPEAKER_46
transcript.pyannote[2433].start 13744.65096875
transcript.pyannote[2433].end 13744.70159375
transcript.pyannote[2434].speaker SPEAKER_39
transcript.pyannote[2434].start 13744.70159375
transcript.pyannote[2434].end 13744.90409375
transcript.pyannote[2435].speaker SPEAKER_07
transcript.pyannote[2435].start 13746.50721875
transcript.pyannote[2435].end 13748.07659375
transcript.pyannote[2436].speaker SPEAKER_07
transcript.pyannote[2436].start 13750.89471875
transcript.pyannote[2436].end 13753.52721875
transcript.pyannote[2437].speaker SPEAKER_07
transcript.pyannote[2437].start 19798.72596875
transcript.pyannote[2437].end 19802.60721875
transcript.pyannote[2438].speaker SPEAKER_06
transcript.pyannote[2438].start 19810.35284375
transcript.pyannote[2438].end 19813.28909375
transcript.pyannote[2439].speaker SPEAKER_00
transcript.pyannote[2439].start 19810.75784375
transcript.pyannote[2439].end 19810.82534375
transcript.pyannote[2440].speaker SPEAKER_07
transcript.pyannote[2440].start 19810.82534375
transcript.pyannote[2440].end 19810.90971875
transcript.pyannote[2441].speaker SPEAKER_03
transcript.pyannote[2441].start 19810.90971875
transcript.pyannote[2441].end 19811.44971875
transcript.pyannote[2442].speaker SPEAKER_06
transcript.pyannote[2442].start 19813.69409375
transcript.pyannote[2442].end 19814.85846875
transcript.pyannote[2443].speaker SPEAKER_03
transcript.pyannote[2443].start 19820.74784375
transcript.pyannote[2443].end 19821.30471875
transcript.pyannote[2444].speaker SPEAKER_03
transcript.pyannote[2444].start 19821.60846875
transcript.pyannote[2444].end 19879.21971875
transcript.pyannote[2445].speaker SPEAKER_03
transcript.pyannote[2445].start 19884.01221875
transcript.pyannote[2445].end 19884.83909375
transcript.pyannote[2446].speaker SPEAKER_03
transcript.pyannote[2446].start 19885.44659375
transcript.pyannote[2446].end 19885.76721875
transcript.pyannote[2447].speaker SPEAKER_03
transcript.pyannote[2447].start 19889.54721875
transcript.pyannote[2447].end 19891.90971875
transcript.pyannote[2448].speaker SPEAKER_29
transcript.pyannote[2448].start 19893.41159375
transcript.pyannote[2448].end 19897.66409375
transcript.pyannote[2449].speaker SPEAKER_03
transcript.pyannote[2449].start 19897.41096875
transcript.pyannote[2449].end 19897.57971875
transcript.pyannote[2450].speaker SPEAKER_03
transcript.pyannote[2450].start 19897.66409375
transcript.pyannote[2450].end 19897.69784375
transcript.pyannote[2451].speaker SPEAKER_30
transcript.pyannote[2451].start 19897.69784375
transcript.pyannote[2451].end 19897.73159375
transcript.pyannote[2452].speaker SPEAKER_30
transcript.pyannote[2452].start 19897.84971875
transcript.pyannote[2452].end 19902.65909375
transcript.pyannote[2453].speaker SPEAKER_06
transcript.pyannote[2453].start 19902.35534375
transcript.pyannote[2453].end 19904.49846875
transcript.pyannote[2454].speaker SPEAKER_30
transcript.pyannote[2454].start 19903.65471875
transcript.pyannote[2454].end 19912.19346875
transcript.pyannote[2455].speaker SPEAKER_06
transcript.pyannote[2455].start 19909.37534375
transcript.pyannote[2455].end 19909.71284375
transcript.pyannote[2456].speaker SPEAKER_03
transcript.pyannote[2456].start 19910.38784375
transcript.pyannote[2456].end 19910.69159375
transcript.pyannote[2457].speaker SPEAKER_03
transcript.pyannote[2457].start 19912.19346875
transcript.pyannote[2457].end 19922.09909375
transcript.pyannote[2458].speaker SPEAKER_30
transcript.pyannote[2458].start 19912.64909375
transcript.pyannote[2458].end 19913.34096875
transcript.pyannote[2459].speaker SPEAKER_29
transcript.pyannote[2459].start 19917.32346875
transcript.pyannote[2459].end 19918.09971875
transcript.pyannote[2460].speaker SPEAKER_29
transcript.pyannote[2460].start 19921.30596875
transcript.pyannote[2460].end 19928.39346875
transcript.pyannote[2461].speaker SPEAKER_03
transcript.pyannote[2461].start 19928.12346875
transcript.pyannote[2461].end 19940.03721875
transcript.pyannote[2462].speaker SPEAKER_29
transcript.pyannote[2462].start 19929.06846875
transcript.pyannote[2462].end 19929.96284375
transcript.pyannote[2463].speaker SPEAKER_03
transcript.pyannote[2463].start 19940.29034375
transcript.pyannote[2463].end 19961.24909375
transcript.pyannote[2464].speaker SPEAKER_46
transcript.pyannote[2464].start 19946.90534375
transcript.pyannote[2464].end 19947.09096875
transcript.pyannote[2465].speaker SPEAKER_00
transcript.pyannote[2465].start 19948.10346875
transcript.pyannote[2465].end 19948.12034375
transcript.pyannote[2466].speaker SPEAKER_46
transcript.pyannote[2466].start 19948.12034375
transcript.pyannote[2466].end 19948.76159375
transcript.pyannote[2467].speaker SPEAKER_03
transcript.pyannote[2467].start 19961.90721875
transcript.pyannote[2467].end 19974.07409375
transcript.pyannote[2468].speaker SPEAKER_29
transcript.pyannote[2468].start 19970.59784375
transcript.pyannote[2468].end 19970.96909375
transcript.pyannote[2469].speaker SPEAKER_29
transcript.pyannote[2469].start 19974.63096875
transcript.pyannote[2469].end 19991.18534375
transcript.pyannote[2470].speaker SPEAKER_45
transcript.pyannote[2470].start 19991.74221875
transcript.pyannote[2470].end 19992.34971875
transcript.pyannote[2471].speaker SPEAKER_29
transcript.pyannote[2471].start 19992.34971875
transcript.pyannote[2471].end 20003.04846875
transcript.pyannote[2472].speaker SPEAKER_03
transcript.pyannote[2472].start 20002.96409375
transcript.pyannote[2472].end 20008.19534375
transcript.pyannote[2473].speaker SPEAKER_29
transcript.pyannote[2473].start 20004.76971875
transcript.pyannote[2473].end 20005.27596875
transcript.pyannote[2474].speaker SPEAKER_29
transcript.pyannote[2474].start 20005.78221875
transcript.pyannote[2474].end 20010.62534375
transcript.pyannote[2475].speaker SPEAKER_03
transcript.pyannote[2475].start 20008.85346875
transcript.pyannote[2475].end 20009.12346875
transcript.pyannote[2476].speaker SPEAKER_03
transcript.pyannote[2476].start 20010.62534375
transcript.pyannote[2476].end 20013.98346875
transcript.pyannote[2477].speaker SPEAKER_29
transcript.pyannote[2477].start 20014.62471875
transcript.pyannote[2477].end 20014.65846875
transcript.pyannote[2478].speaker SPEAKER_29
transcript.pyannote[2478].start 20015.08034375
transcript.pyannote[2478].end 20020.15971875
transcript.pyannote[2479].speaker SPEAKER_03
transcript.pyannote[2479].start 20017.89846875
transcript.pyannote[2479].end 20019.80534375
transcript.pyannote[2480].speaker SPEAKER_29
transcript.pyannote[2480].start 20020.53096875
transcript.pyannote[2480].end 20022.89346875
transcript.pyannote[2481].speaker SPEAKER_03
transcript.pyannote[2481].start 20022.30284375
transcript.pyannote[2481].end 20030.43659375
transcript.pyannote[2482].speaker SPEAKER_29
transcript.pyannote[2482].start 20024.14221875
transcript.pyannote[2482].end 20026.25159375
transcript.pyannote[2483].speaker SPEAKER_29
transcript.pyannote[2483].start 20026.52159375
transcript.pyannote[2483].end 20027.50034375
transcript.pyannote[2484].speaker SPEAKER_03
transcript.pyannote[2484].start 20030.55471875
transcript.pyannote[2484].end 20033.01846875
transcript.pyannote[2485].speaker SPEAKER_03
transcript.pyannote[2485].start 20033.55846875
transcript.pyannote[2485].end 20035.49909375
transcript.pyannote[2486].speaker SPEAKER_29
transcript.pyannote[2486].start 20033.71034375
transcript.pyannote[2486].end 20034.30096875
transcript.pyannote[2487].speaker SPEAKER_29
transcript.pyannote[2487].start 20035.49909375
transcript.pyannote[2487].end 20037.23721875
transcript.pyannote[2488].speaker SPEAKER_03
transcript.pyannote[2488].start 20037.23721875
transcript.pyannote[2488].end 20037.37221875
transcript.pyannote[2489].speaker SPEAKER_29
transcript.pyannote[2489].start 20037.37221875
transcript.pyannote[2489].end 20037.82784375
transcript.pyannote[2490].speaker SPEAKER_03
transcript.pyannote[2490].start 20037.82784375
transcript.pyannote[2490].end 20037.96284375
transcript.pyannote[2491].speaker SPEAKER_29
transcript.pyannote[2491].start 20037.96284375
transcript.pyannote[2491].end 20046.21471875
transcript.pyannote[2492].speaker SPEAKER_03
transcript.pyannote[2492].start 20042.77221875
transcript.pyannote[2492].end 20043.49784375
transcript.pyannote[2493].speaker SPEAKER_03
transcript.pyannote[2493].start 20045.48909375
transcript.pyannote[2493].end 20049.87659375
transcript.pyannote[2494].speaker SPEAKER_29
transcript.pyannote[2494].start 20047.29471875
transcript.pyannote[2494].end 20048.29034375
transcript.pyannote[2495].speaker SPEAKER_29
transcript.pyannote[2495].start 20048.88096875
transcript.pyannote[2495].end 20053.58909375
transcript.pyannote[2496].speaker SPEAKER_03
transcript.pyannote[2496].start 20051.46284375
transcript.pyannote[2496].end 20060.74409375
transcript.pyannote[2497].speaker SPEAKER_29
transcript.pyannote[2497].start 20054.56784375
transcript.pyannote[2497].end 20055.22596875
transcript.pyannote[2498].speaker SPEAKER_03
transcript.pyannote[2498].start 20060.86221875
transcript.pyannote[2498].end 20060.96346875
transcript.pyannote[2499].speaker SPEAKER_46
transcript.pyannote[2499].start 20060.96346875
transcript.pyannote[2499].end 20061.01409375
transcript.pyannote[2500].speaker SPEAKER_03
transcript.pyannote[2500].start 20061.01409375
transcript.pyannote[2500].end 20061.13221875
transcript.pyannote[2501].speaker SPEAKER_03
transcript.pyannote[2501].start 20061.36846875
transcript.pyannote[2501].end 20064.99659375
transcript.pyannote[2502].speaker SPEAKER_03
transcript.pyannote[2502].start 20066.19471875
transcript.pyannote[2502].end 20073.60284375
transcript.pyannote[2503].speaker SPEAKER_00
transcript.pyannote[2503].start 20070.71721875
transcript.pyannote[2503].end 20070.83534375
transcript.pyannote[2504].speaker SPEAKER_46
transcript.pyannote[2504].start 20070.83534375
transcript.pyannote[2504].end 20070.88596875
transcript.pyannote[2505].speaker SPEAKER_00
transcript.pyannote[2505].start 20071.08846875
transcript.pyannote[2505].end 20071.12221875
transcript.pyannote[2506].speaker SPEAKER_03
transcript.pyannote[2506].start 20073.88971875
transcript.pyannote[2506].end 20099.86034375
transcript.pyannote[2507].speaker SPEAKER_46
transcript.pyannote[2507].start 20073.94034375
transcript.pyannote[2507].end 20074.21034375
transcript.pyannote[2508].speaker SPEAKER_29
transcript.pyannote[2508].start 20100.38346875
transcript.pyannote[2508].end 20101.78409375
transcript.pyannote[2509].speaker SPEAKER_03
transcript.pyannote[2509].start 20100.99096875
transcript.pyannote[2509].end 20101.91909375
transcript.pyannote[2510].speaker SPEAKER_29
transcript.pyannote[2510].start 20102.10471875
transcript.pyannote[2510].end 20126.16846875
transcript.pyannote[2511].speaker SPEAKER_03
transcript.pyannote[2511].start 20102.32409375
transcript.pyannote[2511].end 20102.72909375
transcript.pyannote[2512].speaker SPEAKER_03
transcript.pyannote[2512].start 20105.15909375
transcript.pyannote[2512].end 20105.29409375
transcript.pyannote[2513].speaker SPEAKER_03
transcript.pyannote[2513].start 20122.08471875
transcript.pyannote[2513].end 20123.65409375
transcript.pyannote[2514].speaker SPEAKER_03
transcript.pyannote[2514].start 20124.86909375
transcript.pyannote[2514].end 20126.21909375
transcript.pyannote[2515].speaker SPEAKER_03
transcript.pyannote[2515].start 20126.42159375
transcript.pyannote[2515].end 20139.70221875
transcript.pyannote[2516].speaker SPEAKER_29
transcript.pyannote[2516].start 20132.63159375
transcript.pyannote[2516].end 20132.66534375
transcript.pyannote[2517].speaker SPEAKER_39
transcript.pyannote[2517].start 20132.66534375
transcript.pyannote[2517].end 20134.69034375
transcript.pyannote[2518].speaker SPEAKER_29
transcript.pyannote[2518].start 20134.69034375
transcript.pyannote[2518].end 20136.12471875
transcript.pyannote[2519].speaker SPEAKER_03
transcript.pyannote[2519].start 20139.92159375
transcript.pyannote[2519].end 20141.06909375
transcript.pyannote[2520].speaker SPEAKER_29
transcript.pyannote[2520].start 20141.06909375
transcript.pyannote[2520].end 20145.45659375
transcript.pyannote[2521].speaker SPEAKER_03
transcript.pyannote[2521].start 20141.10284375
transcript.pyannote[2521].end 20141.11971875
transcript.pyannote[2522].speaker SPEAKER_03
transcript.pyannote[2522].start 20141.15346875
transcript.pyannote[2522].end 20141.35596875
transcript.pyannote[2523].speaker SPEAKER_03
transcript.pyannote[2523].start 20141.72721875
transcript.pyannote[2523].end 20143.29659375
transcript.pyannote[2524].speaker SPEAKER_03
transcript.pyannote[2524].start 20145.38909375
transcript.pyannote[2524].end 20145.43971875
transcript.pyannote[2525].speaker SPEAKER_03
transcript.pyannote[2525].start 20145.45659375
transcript.pyannote[2525].end 20147.83596875
transcript.pyannote[2526].speaker SPEAKER_29
transcript.pyannote[2526].start 20148.32534375
transcript.pyannote[2526].end 20164.08659375
transcript.pyannote[2527].speaker SPEAKER_03
transcript.pyannote[2527].start 20159.58096875
transcript.pyannote[2527].end 20164.52534375
transcript.pyannote[2528].speaker SPEAKER_03
transcript.pyannote[2528].start 20165.11596875
transcript.pyannote[2528].end 20173.38471875
transcript.pyannote[2529].speaker SPEAKER_29
transcript.pyannote[2529].start 20173.62096875
transcript.pyannote[2529].end 20178.14346875
transcript.pyannote[2530].speaker SPEAKER_03
transcript.pyannote[2530].start 20177.16471875
transcript.pyannote[2530].end 20181.18096875
transcript.pyannote[2531].speaker SPEAKER_29
transcript.pyannote[2531].start 20178.75096875
transcript.pyannote[2531].end 20180.25284375
transcript.pyannote[2532].speaker SPEAKER_29
transcript.pyannote[2532].start 20181.18096875
transcript.pyannote[2532].end 20181.65346875
transcript.pyannote[2533].speaker SPEAKER_03
transcript.pyannote[2533].start 20181.65346875
transcript.pyannote[2533].end 20184.99471875
transcript.pyannote[2534].speaker SPEAKER_29
transcript.pyannote[2534].start 20181.80534375
transcript.pyannote[2534].end 20182.02471875
transcript.pyannote[2535].speaker SPEAKER_29
transcript.pyannote[2535].start 20183.66159375
transcript.pyannote[2535].end 20184.03284375
transcript.pyannote[2536].speaker SPEAKER_03
transcript.pyannote[2536].start 20185.33221875
transcript.pyannote[2536].end 20185.95659375
transcript.pyannote[2537].speaker SPEAKER_29
transcript.pyannote[2537].start 20186.54721875
transcript.pyannote[2537].end 20188.52159375
transcript.pyannote[2538].speaker SPEAKER_03
transcript.pyannote[2538].start 20188.03221875
transcript.pyannote[2538].end 20188.40346875
transcript.pyannote[2539].speaker SPEAKER_03
transcript.pyannote[2539].start 20188.70721875
transcript.pyannote[2539].end 20192.87534375
transcript.pyannote[2540].speaker SPEAKER_03
transcript.pyannote[2540].start 20193.58409375
transcript.pyannote[2540].end 20198.27534375
transcript.pyannote[2541].speaker SPEAKER_03
transcript.pyannote[2541].start 20198.96721875
transcript.pyannote[2541].end 20201.39721875
transcript.pyannote[2542].speaker SPEAKER_03
transcript.pyannote[2542].start 20202.03846875
transcript.pyannote[2542].end 20204.68784375
transcript.pyannote[2543].speaker SPEAKER_03
transcript.pyannote[2543].start 20205.31221875
transcript.pyannote[2543].end 20207.35409375
transcript.pyannote[2544].speaker SPEAKER_03
transcript.pyannote[2544].start 20207.91096875
transcript.pyannote[2544].end 20210.45909375
transcript.pyannote[2545].speaker SPEAKER_03
transcript.pyannote[2545].start 20210.96534375
transcript.pyannote[2545].end 20214.99846875
transcript.pyannote[2546].speaker SPEAKER_03
transcript.pyannote[2546].start 20215.52159375
transcript.pyannote[2546].end 20231.18159375
transcript.pyannote[2547].speaker SPEAKER_03
transcript.pyannote[2547].start 20231.92409375
transcript.pyannote[2547].end 20251.93784375
transcript.pyannote[2548].speaker SPEAKER_03
transcript.pyannote[2548].start 20252.24159375
transcript.pyannote[2548].end 20252.93346875
transcript.pyannote[2549].speaker SPEAKER_03
transcript.pyannote[2549].start 20253.89534375
transcript.pyannote[2549].end 20255.49846875
transcript.pyannote[2550].speaker SPEAKER_03
transcript.pyannote[2550].start 20255.92034375
transcript.pyannote[2550].end 20258.77221875
transcript.pyannote[2551].speaker SPEAKER_29
transcript.pyannote[2551].start 20258.16471875
transcript.pyannote[2551].end 20258.75534375
transcript.pyannote[2552].speaker SPEAKER_29
transcript.pyannote[2552].start 20258.77221875
transcript.pyannote[2552].end 20258.82284375
transcript.pyannote[2553].speaker SPEAKER_29
transcript.pyannote[2553].start 20259.12659375
transcript.pyannote[2553].end 20270.87159375
transcript.pyannote[2554].speaker SPEAKER_03
transcript.pyannote[2554].start 20270.78721875
transcript.pyannote[2554].end 20274.06096875
transcript.pyannote[2555].speaker SPEAKER_03
transcript.pyannote[2555].start 20275.54596875
transcript.pyannote[2555].end 20280.81096875
transcript.pyannote[2556].speaker SPEAKER_29
transcript.pyannote[2556].start 20279.12346875
transcript.pyannote[2556].end 20291.23971875
transcript.pyannote[2557].speaker SPEAKER_03
transcript.pyannote[2557].start 20283.91596875
transcript.pyannote[2557].end 20288.94471875
transcript.pyannote[2558].speaker SPEAKER_03
transcript.pyannote[2558].start 20290.51409375
transcript.pyannote[2558].end 20298.78284375
transcript.pyannote[2559].speaker SPEAKER_29
transcript.pyannote[2559].start 20293.29846875
transcript.pyannote[2559].end 20293.77096875
transcript.pyannote[2560].speaker SPEAKER_29
transcript.pyannote[2560].start 20294.31096875
transcript.pyannote[2560].end 20296.03221875
transcript.pyannote[2561].speaker SPEAKER_24
transcript.pyannote[2561].start 20296.03221875
transcript.pyannote[2561].end 20298.64784375
transcript.pyannote[2562].speaker SPEAKER_03
transcript.pyannote[2562].start 20298.88409375
transcript.pyannote[2562].end 20299.22159375
transcript.pyannote[2563].speaker SPEAKER_24
transcript.pyannote[2563].start 20299.22159375
transcript.pyannote[2563].end 20301.93846875
transcript.pyannote[2564].speaker SPEAKER_03
transcript.pyannote[2564].start 20301.85409375
transcript.pyannote[2564].end 20304.68909375
transcript.pyannote[2565].speaker SPEAKER_03
transcript.pyannote[2565].start 20304.92534375
transcript.pyannote[2565].end 20307.15284375
transcript.pyannote[2566].speaker SPEAKER_03
transcript.pyannote[2566].start 20307.96284375
transcript.pyannote[2566].end 20310.78096875
transcript.pyannote[2567].speaker SPEAKER_03
transcript.pyannote[2567].start 20311.06784375
transcript.pyannote[2567].end 20312.48534375
transcript.pyannote[2568].speaker SPEAKER_03
transcript.pyannote[2568].start 20313.07596875
transcript.pyannote[2568].end 20314.45971875
transcript.pyannote[2569].speaker SPEAKER_03
transcript.pyannote[2569].start 20314.57784375
transcript.pyannote[2569].end 20316.75471875
transcript.pyannote[2570].speaker SPEAKER_03
transcript.pyannote[2570].start 20317.85159375
transcript.pyannote[2570].end 20320.56846875
transcript.pyannote[2571].speaker SPEAKER_03
transcript.pyannote[2571].start 20320.90596875
transcript.pyannote[2571].end 20330.77784375
transcript.pyannote[2572].speaker SPEAKER_29
transcript.pyannote[2572].start 20322.08721875
transcript.pyannote[2572].end 20322.10409375
transcript.pyannote[2573].speaker SPEAKER_46
transcript.pyannote[2573].start 20322.10409375
transcript.pyannote[2573].end 20322.23909375
transcript.pyannote[2574].speaker SPEAKER_43
transcript.pyannote[2574].start 20322.23909375
transcript.pyannote[2574].end 20322.72846875
transcript.pyannote[2575].speaker SPEAKER_46
transcript.pyannote[2575].start 20322.72846875
transcript.pyannote[2575].end 20322.81284375
transcript.pyannote[2576].speaker SPEAKER_29
transcript.pyannote[2576].start 20322.81284375
transcript.pyannote[2576].end 20322.84659375
transcript.pyannote[2577].speaker SPEAKER_46
transcript.pyannote[2577].start 20323.92659375
transcript.pyannote[2577].end 20323.94346875
transcript.pyannote[2578].speaker SPEAKER_29
transcript.pyannote[2578].start 20323.94346875
transcript.pyannote[2578].end 20324.90534375
transcript.pyannote[2579].speaker SPEAKER_29
transcript.pyannote[2579].start 20325.31034375
transcript.pyannote[2579].end 20325.61409375
transcript.pyannote[2580].speaker SPEAKER_29
transcript.pyannote[2580].start 20330.08596875
transcript.pyannote[2580].end 20332.76909375
transcript.pyannote[2581].speaker SPEAKER_03
transcript.pyannote[2581].start 20331.35159375
transcript.pyannote[2581].end 20336.48159375
transcript.pyannote[2582].speaker SPEAKER_29
transcript.pyannote[2582].start 20334.05159375
transcript.pyannote[2582].end 20342.92784375
transcript.pyannote[2583].speaker SPEAKER_03
transcript.pyannote[2583].start 20340.66659375
transcript.pyannote[2583].end 20345.52659375
transcript.pyannote[2584].speaker SPEAKER_29
transcript.pyannote[2584].start 20343.14721875
transcript.pyannote[2584].end 20343.97409375
transcript.pyannote[2585].speaker SPEAKER_03
transcript.pyannote[2585].start 20345.77971875
transcript.pyannote[2585].end 20346.35346875
transcript.pyannote[2586].speaker SPEAKER_29
transcript.pyannote[2586].start 20347.46721875
transcript.pyannote[2586].end 20355.53346875
transcript.pyannote[2587].speaker SPEAKER_03
transcript.pyannote[2587].start 20349.47534375
transcript.pyannote[2587].end 20350.62284375
transcript.pyannote[2588].speaker SPEAKER_03
transcript.pyannote[2588].start 20354.58846875
transcript.pyannote[2588].end 20356.73159375
transcript.pyannote[2589].speaker SPEAKER_29
transcript.pyannote[2589].start 20355.70221875
transcript.pyannote[2589].end 20356.81596875
transcript.pyannote[2590].speaker SPEAKER_29
transcript.pyannote[2590].start 20357.20409375
transcript.pyannote[2590].end 20360.10659375
transcript.pyannote[2591].speaker SPEAKER_03
transcript.pyannote[2591].start 20359.09409375
transcript.pyannote[2591].end 20361.38909375
transcript.pyannote[2592].speaker SPEAKER_03
transcript.pyannote[2592].start 20361.42284375
transcript.pyannote[2592].end 20362.94159375
transcript.pyannote[2593].speaker SPEAKER_29
transcript.pyannote[2593].start 20363.31284375
transcript.pyannote[2593].end 20367.36284375
transcript.pyannote[2594].speaker SPEAKER_03
transcript.pyannote[2594].start 20363.44784375
transcript.pyannote[2594].end 20364.83159375
transcript.pyannote[2595].speaker SPEAKER_03
transcript.pyannote[2595].start 20365.75971875
transcript.pyannote[2595].end 20368.34159375
transcript.pyannote[2596].speaker SPEAKER_03
transcript.pyannote[2596].start 20369.08409375
transcript.pyannote[2596].end 20370.04596875
transcript.pyannote[2597].speaker SPEAKER_29
transcript.pyannote[2597].start 20369.70846875
transcript.pyannote[2597].end 20371.46346875
transcript.pyannote[2598].speaker SPEAKER_03
transcript.pyannote[2598].start 20370.50159375
transcript.pyannote[2598].end 20388.06846875
transcript.pyannote[2599].speaker SPEAKER_29
transcript.pyannote[2599].start 20388.92909375
transcript.pyannote[2599].end 20391.15659375
transcript.pyannote[2600].speaker SPEAKER_03
transcript.pyannote[2600].start 20391.15659375
transcript.pyannote[2600].end 20392.96221875
transcript.pyannote[2601].speaker SPEAKER_29
transcript.pyannote[2601].start 20393.29971875
transcript.pyannote[2601].end 20396.18534375
transcript.pyannote[2602].speaker SPEAKER_03
transcript.pyannote[2602].start 20394.46409375
transcript.pyannote[2602].end 20412.46971875
transcript.pyannote[2603].speaker SPEAKER_46
transcript.pyannote[2603].start 20406.69846875
transcript.pyannote[2603].end 20409.16221875
transcript.pyannote[2604].speaker SPEAKER_03
transcript.pyannote[2604].start 20412.55409375
transcript.pyannote[2604].end 20425.05846875
transcript.pyannote[2605].speaker SPEAKER_46
transcript.pyannote[2605].start 20422.10534375
transcript.pyannote[2605].end 20425.27784375
transcript.pyannote[2606].speaker SPEAKER_07
transcript.pyannote[2606].start 20426.91471875
transcript.pyannote[2606].end 20428.31534375
transcript.pyannote[2607].speaker SPEAKER_07
transcript.pyannote[2607].start 20429.44596875
transcript.pyannote[2607].end 20431.87596875
transcript.pyannote[2608].speaker SPEAKER_21
transcript.pyannote[2608].start 20443.51971875
transcript.pyannote[2608].end 20444.58284375
transcript.pyannote[2609].speaker SPEAKER_21
transcript.pyannote[2609].start 20444.88659375
transcript.pyannote[2609].end 20447.87346875
transcript.pyannote[2610].speaker SPEAKER_07
transcript.pyannote[2610].start 20448.02534375
transcript.pyannote[2610].end 20449.00409375
transcript.pyannote[2611].speaker SPEAKER_21
transcript.pyannote[2611].start 20455.39971875
transcript.pyannote[2611].end 20483.51346875
transcript.pyannote[2612].speaker SPEAKER_29
transcript.pyannote[2612].start 20484.25596875
transcript.pyannote[2612].end 20506.49721875
transcript.pyannote[2613].speaker SPEAKER_46
transcript.pyannote[2613].start 20487.12471875
transcript.pyannote[2613].end 20487.42846875
transcript.pyannote[2614].speaker SPEAKER_21
transcript.pyannote[2614].start 20487.42846875
transcript.pyannote[2614].end 20487.83346875
transcript.pyannote[2615].speaker SPEAKER_21
transcript.pyannote[2615].start 20498.41409375
transcript.pyannote[2615].end 20498.80221875
transcript.pyannote[2616].speaker SPEAKER_21
transcript.pyannote[2616].start 20501.02971875
transcript.pyannote[2616].end 20502.07596875
transcript.pyannote[2617].speaker SPEAKER_21
transcript.pyannote[2617].start 20505.06284375
transcript.pyannote[2617].end 20505.60284375
transcript.pyannote[2618].speaker SPEAKER_21
transcript.pyannote[2618].start 20506.05846875
transcript.pyannote[2618].end 20521.97159375
transcript.pyannote[2619].speaker SPEAKER_21
transcript.pyannote[2619].start 20522.02221875
transcript.pyannote[2619].end 20537.15909375
transcript.pyannote[2620].speaker SPEAKER_39
transcript.pyannote[2620].start 20537.36159375
transcript.pyannote[2620].end 20537.68221875
transcript.pyannote[2621].speaker SPEAKER_21
transcript.pyannote[2621].start 20538.03659375
transcript.pyannote[2621].end 20539.72409375
transcript.pyannote[2622].speaker SPEAKER_21
transcript.pyannote[2622].start 20540.29784375
transcript.pyannote[2622].end 20541.20909375
transcript.pyannote[2623].speaker SPEAKER_21
transcript.pyannote[2623].start 20541.51284375
transcript.pyannote[2623].end 20542.57596875
transcript.pyannote[2624].speaker SPEAKER_21
transcript.pyannote[2624].start 20543.09909375
transcript.pyannote[2624].end 20546.27159375
transcript.pyannote[2625].speaker SPEAKER_21
transcript.pyannote[2625].start 20546.72721875
transcript.pyannote[2625].end 20550.23721875
transcript.pyannote[2626].speaker SPEAKER_21
transcript.pyannote[2626].start 20550.79409375
transcript.pyannote[2626].end 20606.26221875
transcript.pyannote[2627].speaker SPEAKER_21
transcript.pyannote[2627].start 20606.39721875
transcript.pyannote[2627].end 20607.66284375
transcript.pyannote[2628].speaker SPEAKER_21
transcript.pyannote[2628].start 20607.96659375
transcript.pyannote[2628].end 20608.82721875
transcript.pyannote[2629].speaker SPEAKER_21
transcript.pyannote[2629].start 20609.21534375
transcript.pyannote[2629].end 20622.22596875
transcript.pyannote[2630].speaker SPEAKER_24
transcript.pyannote[2630].start 20620.80846875
transcript.pyannote[2630].end 20621.60159375
transcript.pyannote[2631].speaker SPEAKER_24
transcript.pyannote[2631].start 20621.68596875
transcript.pyannote[2631].end 20634.86534375
transcript.pyannote[2632].speaker SPEAKER_24
transcript.pyannote[2632].start 20635.15221875
transcript.pyannote[2632].end 20637.34596875
transcript.pyannote[2633].speaker SPEAKER_21
transcript.pyannote[2633].start 20638.27409375
transcript.pyannote[2633].end 20640.67034375
transcript.pyannote[2634].speaker SPEAKER_24
transcript.pyannote[2634].start 20638.30784375
transcript.pyannote[2634].end 20638.62846875
transcript.pyannote[2635].speaker SPEAKER_24
transcript.pyannote[2635].start 20640.45096875
transcript.pyannote[2635].end 20641.86846875
transcript.pyannote[2636].speaker SPEAKER_21
transcript.pyannote[2636].start 20641.29471875
transcript.pyannote[2636].end 20643.06659375
transcript.pyannote[2637].speaker SPEAKER_24
transcript.pyannote[2637].start 20643.06659375
transcript.pyannote[2637].end 20643.08346875
transcript.pyannote[2638].speaker SPEAKER_21
transcript.pyannote[2638].start 20643.08346875
transcript.pyannote[2638].end 20643.21846875
transcript.pyannote[2639].speaker SPEAKER_24
transcript.pyannote[2639].start 20643.21846875
transcript.pyannote[2639].end 20644.16346875
transcript.pyannote[2640].speaker SPEAKER_21
transcript.pyannote[2640].start 20644.16346875
transcript.pyannote[2640].end 20650.72784375
transcript.pyannote[2641].speaker SPEAKER_24
transcript.pyannote[2641].start 20648.23034375
transcript.pyannote[2641].end 20648.29784375
transcript.pyannote[2642].speaker SPEAKER_24
transcript.pyannote[2642].start 20649.83346875
transcript.pyannote[2642].end 20654.05221875
transcript.pyannote[2643].speaker SPEAKER_21
transcript.pyannote[2643].start 20653.93409375
transcript.pyannote[2643].end 20660.90346875
transcript.pyannote[2644].speaker SPEAKER_24
transcript.pyannote[2644].start 20660.78534375
transcript.pyannote[2644].end 20662.32096875
transcript.pyannote[2645].speaker SPEAKER_21
transcript.pyannote[2645].start 20662.42221875
transcript.pyannote[2645].end 20672.04096875
transcript.pyannote[2646].speaker SPEAKER_21
transcript.pyannote[2646].start 20672.05784375
transcript.pyannote[2646].end 20672.07471875
transcript.pyannote[2647].speaker SPEAKER_21
transcript.pyannote[2647].start 20672.54721875
transcript.pyannote[2647].end 20694.77159375
transcript.pyannote[2648].speaker SPEAKER_21
transcript.pyannote[2648].start 20694.92346875
transcript.pyannote[2648].end 20718.29534375
transcript.pyannote[2649].speaker SPEAKER_21
transcript.pyannote[2649].start 20718.56534375
transcript.pyannote[2649].end 20722.88534375
transcript.pyannote[2650].speaker SPEAKER_21
transcript.pyannote[2650].start 20723.15534375
transcript.pyannote[2650].end 20737.68471875
transcript.pyannote[2651].speaker SPEAKER_21
transcript.pyannote[2651].start 20738.69721875
transcript.pyannote[2651].end 20757.31034375
transcript.pyannote[2652].speaker SPEAKER_21
transcript.pyannote[2652].start 20758.01909375
transcript.pyannote[2652].end 20759.35221875
transcript.pyannote[2653].speaker SPEAKER_21
transcript.pyannote[2653].start 20759.74034375
transcript.pyannote[2653].end 20763.79034375
transcript.pyannote[2654].speaker SPEAKER_24
transcript.pyannote[2654].start 20764.17846875
transcript.pyannote[2654].end 20780.44596875
transcript.pyannote[2655].speaker SPEAKER_24
transcript.pyannote[2655].start 20780.69909375
transcript.pyannote[2655].end 20781.91409375
transcript.pyannote[2656].speaker SPEAKER_24
transcript.pyannote[2656].start 20782.11659375
transcript.pyannote[2656].end 20787.88784375
transcript.pyannote[2657].speaker SPEAKER_21
transcript.pyannote[2657].start 20788.07346875
transcript.pyannote[2657].end 20814.95534375
transcript.pyannote[2658].speaker SPEAKER_21
transcript.pyannote[2658].start 20815.19159375
transcript.pyannote[2658].end 20820.16971875
transcript.pyannote[2659].speaker SPEAKER_21
transcript.pyannote[2659].start 20821.11471875
transcript.pyannote[2659].end 20830.12596875
transcript.pyannote[2660].speaker SPEAKER_29
transcript.pyannote[2660].start 20829.26534375
transcript.pyannote[2660].end 20829.28221875
transcript.pyannote[2661].speaker SPEAKER_24
transcript.pyannote[2661].start 20829.28221875
transcript.pyannote[2661].end 20832.15096875
transcript.pyannote[2662].speaker SPEAKER_29
transcript.pyannote[2662].start 20830.12596875
transcript.pyannote[2662].end 20830.19346875
transcript.pyannote[2663].speaker SPEAKER_29
transcript.pyannote[2663].start 20832.10034375
transcript.pyannote[2663].end 20836.43721875
transcript.pyannote[2664].speaker SPEAKER_24
transcript.pyannote[2664].start 20835.01971875
transcript.pyannote[2664].end 20835.03659375
transcript.pyannote[2665].speaker SPEAKER_21
transcript.pyannote[2665].start 20835.03659375
transcript.pyannote[2665].end 20836.70721875
transcript.pyannote[2666].speaker SPEAKER_21
transcript.pyannote[2666].start 20836.97721875
transcript.pyannote[2666].end 20842.93409375
transcript.pyannote[2667].speaker SPEAKER_29
transcript.pyannote[2667].start 20841.53346875
transcript.pyannote[2667].end 20853.09284375
transcript.pyannote[2668].speaker SPEAKER_21
transcript.pyannote[2668].start 20843.65971875
transcript.pyannote[2668].end 20845.78596875
transcript.pyannote[2669].speaker SPEAKER_24
transcript.pyannote[2669].start 20845.78596875
transcript.pyannote[2669].end 20845.81971875
transcript.pyannote[2670].speaker SPEAKER_24
transcript.pyannote[2670].start 20853.09284375
transcript.pyannote[2670].end 20856.02909375
transcript.pyannote[2671].speaker SPEAKER_29
transcript.pyannote[2671].start 20854.66221875
transcript.pyannote[2671].end 20858.22284375
transcript.pyannote[2672].speaker SPEAKER_21
transcript.pyannote[2672].start 20856.02909375
transcript.pyannote[2672].end 20857.09221875
transcript.pyannote[2673].speaker SPEAKER_21
transcript.pyannote[2673].start 20858.22284375
transcript.pyannote[2673].end 20872.09409375
transcript.pyannote[2674].speaker SPEAKER_29
transcript.pyannote[2674].start 20871.72284375
transcript.pyannote[2674].end 20872.07721875
transcript.pyannote[2675].speaker SPEAKER_29
transcript.pyannote[2675].start 20872.09409375
transcript.pyannote[2675].end 20873.15721875
transcript.pyannote[2676].speaker SPEAKER_21
transcript.pyannote[2676].start 20873.15721875
transcript.pyannote[2676].end 20874.18659375
transcript.pyannote[2677].speaker SPEAKER_07
transcript.pyannote[2677].start 20876.22846875
transcript.pyannote[2677].end 20877.81471875
transcript.pyannote[2678].speaker SPEAKER_07
transcript.pyannote[2678].start 20879.16471875
transcript.pyannote[2678].end 20881.08846875
transcript.pyannote[2679].speaker SPEAKER_04
transcript.pyannote[2679].start 20886.57284375
transcript.pyannote[2679].end 20891.92221875
transcript.pyannote[2680].speaker SPEAKER_04
transcript.pyannote[2680].start 20896.69784375
transcript.pyannote[2680].end 20896.96784375
transcript.pyannote[2681].speaker SPEAKER_05
transcript.pyannote[2681].start 20896.96784375
transcript.pyannote[2681].end 20897.33909375
transcript.pyannote[2682].speaker SPEAKER_46
transcript.pyannote[2682].start 20897.33909375
transcript.pyannote[2682].end 20897.81159375
transcript.pyannote[2683].speaker SPEAKER_05
transcript.pyannote[2683].start 20897.81159375
transcript.pyannote[2683].end 20905.25346875
transcript.pyannote[2684].speaker SPEAKER_46
transcript.pyannote[2684].start 20902.43534375
transcript.pyannote[2684].end 20902.92471875
transcript.pyannote[2685].speaker SPEAKER_15
transcript.pyannote[2685].start 20902.92471875
transcript.pyannote[2685].end 20903.32971875
transcript.pyannote[2686].speaker SPEAKER_05
transcript.pyannote[2686].start 20905.96221875
transcript.pyannote[2686].end 20913.01596875
transcript.pyannote[2687].speaker SPEAKER_05
transcript.pyannote[2687].start 20913.11721875
transcript.pyannote[2687].end 20923.71471875
transcript.pyannote[2688].speaker SPEAKER_05
transcript.pyannote[2688].start 20923.98471875
transcript.pyannote[2688].end 20936.35409375
transcript.pyannote[2689].speaker SPEAKER_05
transcript.pyannote[2689].start 20937.06284375
transcript.pyannote[2689].end 20941.68659375
transcript.pyannote[2690].speaker SPEAKER_05
transcript.pyannote[2690].start 20942.24346875
transcript.pyannote[2690].end 20949.09471875
transcript.pyannote[2691].speaker SPEAKER_05
transcript.pyannote[2691].start 20949.70221875
transcript.pyannote[2691].end 20952.13221875
transcript.pyannote[2692].speaker SPEAKER_05
transcript.pyannote[2692].start 20952.62159375
transcript.pyannote[2692].end 20973.71534375
transcript.pyannote[2693].speaker SPEAKER_05
transcript.pyannote[2693].start 20974.98096875
transcript.pyannote[2693].end 20975.43659375
transcript.pyannote[2694].speaker SPEAKER_05
transcript.pyannote[2694].start 20976.06096875
transcript.pyannote[2694].end 20977.00596875
transcript.pyannote[2695].speaker SPEAKER_05
transcript.pyannote[2695].start 20977.52909375
transcript.pyannote[2695].end 20978.71034375
transcript.pyannote[2696].speaker SPEAKER_05
transcript.pyannote[2696].start 20979.52034375
transcript.pyannote[2696].end 20980.65096875
transcript.pyannote[2697].speaker SPEAKER_05
transcript.pyannote[2697].start 20981.76471875
transcript.pyannote[2697].end 20985.29159375
transcript.pyannote[2698].speaker SPEAKER_05
transcript.pyannote[2698].start 20986.11846875
transcript.pyannote[2698].end 20986.82721875
transcript.pyannote[2699].speaker SPEAKER_05
transcript.pyannote[2699].start 20987.08034375
transcript.pyannote[2699].end 20989.10534375
transcript.pyannote[2700].speaker SPEAKER_05
transcript.pyannote[2700].start 20989.22346875
transcript.pyannote[2700].end 20993.15534375
transcript.pyannote[2701].speaker SPEAKER_05
transcript.pyannote[2701].start 20993.35784375
transcript.pyannote[2701].end 21000.36096875
transcript.pyannote[2702].speaker SPEAKER_05
transcript.pyannote[2702].start 21000.73221875
transcript.pyannote[2702].end 21008.41034375
transcript.pyannote[2703].speaker SPEAKER_05
transcript.pyannote[2703].start 21008.71409375
transcript.pyannote[2703].end 21011.68409375
transcript.pyannote[2704].speaker SPEAKER_29
transcript.pyannote[2704].start 21012.47721875
transcript.pyannote[2704].end 21039.96659375
transcript.pyannote[2705].speaker SPEAKER_05
transcript.pyannote[2705].start 21031.78221875
transcript.pyannote[2705].end 21033.16596875
transcript.pyannote[2706].speaker SPEAKER_05
transcript.pyannote[2706].start 21038.49846875
transcript.pyannote[2706].end 21041.02971875
transcript.pyannote[2707].speaker SPEAKER_29
transcript.pyannote[2707].start 21040.16909375
transcript.pyannote[2707].end 21040.37159375
transcript.pyannote[2708].speaker SPEAKER_05
transcript.pyannote[2708].start 21041.58659375
transcript.pyannote[2708].end 21054.12471875
transcript.pyannote[2709].speaker SPEAKER_05
transcript.pyannote[2709].start 21055.76159375
transcript.pyannote[2709].end 21056.50409375
transcript.pyannote[2710].speaker SPEAKER_46
transcript.pyannote[2710].start 21056.45346875
transcript.pyannote[2710].end 21056.77409375
transcript.pyannote[2711].speaker SPEAKER_05
transcript.pyannote[2711].start 21057.31409375
transcript.pyannote[2711].end 21061.22909375
transcript.pyannote[2712].speaker SPEAKER_05
transcript.pyannote[2712].start 21061.36409375
transcript.pyannote[2712].end 21068.11409375
transcript.pyannote[2713].speaker SPEAKER_29
transcript.pyannote[2713].start 21068.62034375
transcript.pyannote[2713].end 21069.39659375
transcript.pyannote[2714].speaker SPEAKER_05
transcript.pyannote[2714].start 21069.02534375
transcript.pyannote[2714].end 21070.72971875
transcript.pyannote[2715].speaker SPEAKER_29
transcript.pyannote[2715].start 21070.15596875
transcript.pyannote[2715].end 21078.54284375
transcript.pyannote[2716].speaker SPEAKER_05
transcript.pyannote[2716].start 21077.02409375
transcript.pyannote[2716].end 21081.09096875
transcript.pyannote[2717].speaker SPEAKER_29
transcript.pyannote[2717].start 21078.84659375
transcript.pyannote[2717].end 21079.40346875
transcript.pyannote[2718].speaker SPEAKER_05
transcript.pyannote[2718].start 21081.85034375
transcript.pyannote[2718].end 21084.97221875
transcript.pyannote[2719].speaker SPEAKER_08
transcript.pyannote[2719].start 21082.66034375
transcript.pyannote[2719].end 21082.67721875
transcript.pyannote[2720].speaker SPEAKER_29
transcript.pyannote[2720].start 21082.67721875
transcript.pyannote[2720].end 21082.69409375
transcript.pyannote[2721].speaker SPEAKER_39
transcript.pyannote[2721].start 21082.69409375
transcript.pyannote[2721].end 21084.31409375
transcript.pyannote[2722].speaker SPEAKER_08
transcript.pyannote[2722].start 21084.31409375
transcript.pyannote[2722].end 21084.51659375
transcript.pyannote[2723].speaker SPEAKER_08
transcript.pyannote[2723].start 21084.93846875
transcript.pyannote[2723].end 21085.29284375
transcript.pyannote[2724].speaker SPEAKER_39
transcript.pyannote[2724].start 21084.97221875
transcript.pyannote[2724].end 21086.08596875
transcript.pyannote[2725].speaker SPEAKER_05
transcript.pyannote[2725].start 21086.27159375
transcript.pyannote[2725].end 21086.50784375
transcript.pyannote[2726].speaker SPEAKER_08
transcript.pyannote[2726].start 21087.65534375
transcript.pyannote[2726].end 21089.03909375
transcript.pyannote[2727].speaker SPEAKER_08
transcript.pyannote[2727].start 21089.07284375
transcript.pyannote[2727].end 21096.64971875
transcript.pyannote[2728].speaker SPEAKER_46
transcript.pyannote[2728].start 21096.64971875
transcript.pyannote[2728].end 21096.98721875
transcript.pyannote[2729].speaker SPEAKER_08
transcript.pyannote[2729].start 21096.93659375
transcript.pyannote[2729].end 21107.28096875
transcript.pyannote[2730].speaker SPEAKER_05
transcript.pyannote[2730].start 21105.30659375
transcript.pyannote[2730].end 21105.84659375
transcript.pyannote[2731].speaker SPEAKER_05
transcript.pyannote[2731].start 21106.69034375
transcript.pyannote[2731].end 21107.14596875
transcript.pyannote[2732].speaker SPEAKER_05
transcript.pyannote[2732].start 21107.28096875
transcript.pyannote[2732].end 21120.13971875
transcript.pyannote[2733].speaker SPEAKER_05
transcript.pyannote[2733].start 21120.74721875
transcript.pyannote[2733].end 21122.48534375
transcript.pyannote[2734].speaker SPEAKER_05
transcript.pyannote[2734].start 21122.92409375
transcript.pyannote[2734].end 21131.20971875
transcript.pyannote[2735].speaker SPEAKER_05
transcript.pyannote[2735].start 21131.88471875
transcript.pyannote[2735].end 21141.04784375
transcript.pyannote[2736].speaker SPEAKER_00
transcript.pyannote[2736].start 21135.25971875
transcript.pyannote[2736].end 21135.47909375
transcript.pyannote[2737].speaker SPEAKER_05
transcript.pyannote[2737].start 21141.87471875
transcript.pyannote[2737].end 21145.24971875
transcript.pyannote[2738].speaker SPEAKER_05
transcript.pyannote[2738].start 21145.75596875
transcript.pyannote[2738].end 21158.90159375
transcript.pyannote[2739].speaker SPEAKER_05
transcript.pyannote[2739].start 21159.30659375
transcript.pyannote[2739].end 21161.48346875
transcript.pyannote[2740].speaker SPEAKER_08
transcript.pyannote[2740].start 21161.48346875
transcript.pyannote[2740].end 21161.60159375
transcript.pyannote[2741].speaker SPEAKER_08
transcript.pyannote[2741].start 21162.32721875
transcript.pyannote[2741].end 21172.03034375
transcript.pyannote[2742].speaker SPEAKER_05
transcript.pyannote[2742].start 21172.03034375
transcript.pyannote[2742].end 21175.89471875
transcript.pyannote[2743].speaker SPEAKER_08
transcript.pyannote[2743].start 21176.33346875
transcript.pyannote[2743].end 21177.16034375
transcript.pyannote[2744].speaker SPEAKER_05
transcript.pyannote[2744].start 21176.67096875
transcript.pyannote[2744].end 21179.75909375
transcript.pyannote[2745].speaker SPEAKER_08
transcript.pyannote[2745].start 21179.75909375
transcript.pyannote[2745].end 21179.77596875
transcript.pyannote[2746].speaker SPEAKER_05
transcript.pyannote[2746].start 21179.77596875
transcript.pyannote[2746].end 21179.97846875
transcript.pyannote[2747].speaker SPEAKER_08
transcript.pyannote[2747].start 21179.97846875
transcript.pyannote[2747].end 21185.05784375
transcript.pyannote[2748].speaker SPEAKER_08
transcript.pyannote[2748].start 21185.26034375
transcript.pyannote[2748].end 21187.99409375
transcript.pyannote[2749].speaker SPEAKER_08
transcript.pyannote[2749].start 21188.44971875
transcript.pyannote[2749].end 21196.49909375
transcript.pyannote[2750].speaker SPEAKER_08
transcript.pyannote[2750].start 21196.87034375
transcript.pyannote[2750].end 21198.74346875
transcript.pyannote[2751].speaker SPEAKER_08
transcript.pyannote[2751].start 21199.01346875
transcript.pyannote[2751].end 21199.23284375
transcript.pyannote[2752].speaker SPEAKER_05
transcript.pyannote[2752].start 21199.23284375
transcript.pyannote[2752].end 21199.68846875
transcript.pyannote[2753].speaker SPEAKER_08
transcript.pyannote[2753].start 21199.68846875
transcript.pyannote[2753].end 21200.81909375
transcript.pyannote[2754].speaker SPEAKER_08
transcript.pyannote[2754].start 21201.94971875
transcript.pyannote[2754].end 21207.02909375
transcript.pyannote[2755].speaker SPEAKER_05
transcript.pyannote[2755].start 21207.02909375
transcript.pyannote[2755].end 21211.12971875
transcript.pyannote[2756].speaker SPEAKER_05
transcript.pyannote[2756].start 21211.38284375
transcript.pyannote[2756].end 21219.24659375
transcript.pyannote[2757].speaker SPEAKER_08
transcript.pyannote[2757].start 21220.03971875
transcript.pyannote[2757].end 21231.07596875
transcript.pyannote[2758].speaker SPEAKER_05
transcript.pyannote[2758].start 21223.07721875
transcript.pyannote[2758].end 21223.63409375
transcript.pyannote[2759].speaker SPEAKER_29
transcript.pyannote[2759].start 21228.64596875
transcript.pyannote[2759].end 21229.00034375
transcript.pyannote[2760].speaker SPEAKER_29
transcript.pyannote[2760].start 21230.87346875
transcript.pyannote[2760].end 21250.93784375
transcript.pyannote[2761].speaker SPEAKER_05
transcript.pyannote[2761].start 21251.10659375
transcript.pyannote[2761].end 21253.14846875
transcript.pyannote[2762].speaker SPEAKER_05
transcript.pyannote[2762].start 21253.67159375
transcript.pyannote[2762].end 21255.74721875
transcript.pyannote[2763].speaker SPEAKER_05
transcript.pyannote[2763].start 21255.96659375
transcript.pyannote[2763].end 21258.26159375
transcript.pyannote[2764].speaker SPEAKER_05
transcript.pyannote[2764].start 21259.03784375
transcript.pyannote[2764].end 21261.87284375
transcript.pyannote[2765].speaker SPEAKER_39
transcript.pyannote[2765].start 21259.07159375
transcript.pyannote[2765].end 21259.39221875
transcript.pyannote[2766].speaker SPEAKER_39
transcript.pyannote[2766].start 21262.26096875
transcript.pyannote[2766].end 21263.77971875
transcript.pyannote[2767].speaker SPEAKER_05
transcript.pyannote[2767].start 21262.64909375
transcript.pyannote[2767].end 21265.23096875
transcript.pyannote[2768].speaker SPEAKER_05
transcript.pyannote[2768].start 21265.68659375
transcript.pyannote[2768].end 21268.40346875
transcript.pyannote[2769].speaker SPEAKER_29
transcript.pyannote[2769].start 21265.73721875
transcript.pyannote[2769].end 21266.93534375
transcript.pyannote[2770].speaker SPEAKER_29
transcript.pyannote[2770].start 21268.84221875
transcript.pyannote[2770].end 21297.71534375
transcript.pyannote[2771].speaker SPEAKER_05
transcript.pyannote[2771].start 21296.93909375
transcript.pyannote[2771].end 21301.51221875
transcript.pyannote[2772].speaker SPEAKER_29
transcript.pyannote[2772].start 21298.72784375
transcript.pyannote[2772].end 21300.34784375
transcript.pyannote[2773].speaker SPEAKER_05
transcript.pyannote[2773].start 21301.83284375
transcript.pyannote[2773].end 21302.18721875
transcript.pyannote[2774].speaker SPEAKER_05
transcript.pyannote[2774].start 21302.35596875
transcript.pyannote[2774].end 21308.48159375
transcript.pyannote[2775].speaker SPEAKER_05
transcript.pyannote[2775].start 21309.24096875
transcript.pyannote[2775].end 21311.29971875
transcript.pyannote[2776].speaker SPEAKER_05
transcript.pyannote[2776].start 21311.80596875
transcript.pyannote[2776].end 21313.49346875
transcript.pyannote[2777].speaker SPEAKER_05
transcript.pyannote[2777].start 21314.50596875
transcript.pyannote[2777].end 21317.50971875
transcript.pyannote[2778].speaker SPEAKER_05
transcript.pyannote[2778].start 21318.47159375
transcript.pyannote[2778].end 21323.14596875
transcript.pyannote[2779].speaker SPEAKER_05
transcript.pyannote[2779].start 21323.71971875
transcript.pyannote[2779].end 21328.02284375
transcript.pyannote[2780].speaker SPEAKER_05
transcript.pyannote[2780].start 21328.59659375
transcript.pyannote[2780].end 21337.15221875
transcript.pyannote[2781].speaker SPEAKER_29
transcript.pyannote[2781].start 21332.88284375
transcript.pyannote[2781].end 21333.13596875
transcript.pyannote[2782].speaker SPEAKER_29
transcript.pyannote[2782].start 21337.25346875
transcript.pyannote[2782].end 21345.58971875
transcript.pyannote[2783].speaker SPEAKER_14
transcript.pyannote[2783].start 21345.99471875
transcript.pyannote[2783].end 21357.30096875
transcript.pyannote[2784].speaker SPEAKER_05
transcript.pyannote[2784].start 21356.99721875
transcript.pyannote[2784].end 21362.32971875
transcript.pyannote[2785].speaker SPEAKER_14
transcript.pyannote[2785].start 21362.21159375
transcript.pyannote[2785].end 21367.02096875
transcript.pyannote[2786].speaker SPEAKER_05
transcript.pyannote[2786].start 21365.72159375
transcript.pyannote[2786].end 21368.01659375
transcript.pyannote[2787].speaker SPEAKER_05
transcript.pyannote[2787].start 21368.43846875
transcript.pyannote[2787].end 21370.32846875
transcript.pyannote[2788].speaker SPEAKER_05
transcript.pyannote[2788].start 21370.54784375
transcript.pyannote[2788].end 21373.50096875
transcript.pyannote[2789].speaker SPEAKER_05
transcript.pyannote[2789].start 21374.31096875
transcript.pyannote[2789].end 21375.49221875
transcript.pyannote[2790].speaker SPEAKER_05
transcript.pyannote[2790].start 21377.80409375
transcript.pyannote[2790].end 21380.28471875
transcript.pyannote[2791].speaker SPEAKER_14
transcript.pyannote[2791].start 21379.17096875
transcript.pyannote[2791].end 21383.33909375
transcript.pyannote[2792].speaker SPEAKER_05
transcript.pyannote[2792].start 21382.88346875
transcript.pyannote[2792].end 21386.08971875
transcript.pyannote[2793].speaker SPEAKER_14
transcript.pyannote[2793].start 21383.69346875
transcript.pyannote[2793].end 21385.00971875
transcript.pyannote[2794].speaker SPEAKER_05
transcript.pyannote[2794].start 21386.66346875
transcript.pyannote[2794].end 21387.52409375
transcript.pyannote[2795].speaker SPEAKER_05
transcript.pyannote[2795].start 21387.86159375
transcript.pyannote[2795].end 21388.19909375
transcript.pyannote[2796].speaker SPEAKER_05
transcript.pyannote[2796].start 21388.97534375
transcript.pyannote[2796].end 21391.35471875
transcript.pyannote[2797].speaker SPEAKER_05
transcript.pyannote[2797].start 21391.69221875
transcript.pyannote[2797].end 21392.78909375
transcript.pyannote[2798].speaker SPEAKER_05
transcript.pyannote[2798].start 21392.97471875
transcript.pyannote[2798].end 21395.21909375
transcript.pyannote[2799].speaker SPEAKER_05
transcript.pyannote[2799].start 21395.32034375
transcript.pyannote[2799].end 21401.00721875
transcript.pyannote[2800].speaker SPEAKER_29
transcript.pyannote[2800].start 21402.20534375
transcript.pyannote[2800].end 21405.66471875
transcript.pyannote[2801].speaker SPEAKER_29
transcript.pyannote[2801].start 21406.06971875
transcript.pyannote[2801].end 21407.60534375
transcript.pyannote[2802].speaker SPEAKER_05
transcript.pyannote[2802].start 21408.97221875
transcript.pyannote[2802].end 21410.40659375
transcript.pyannote[2803].speaker SPEAKER_29
transcript.pyannote[2803].start 21410.67659375
transcript.pyannote[2803].end 21411.03096875
transcript.pyannote[2804].speaker SPEAKER_05
transcript.pyannote[2804].start 21410.77784375
transcript.pyannote[2804].end 21411.35159375
transcript.pyannote[2805].speaker SPEAKER_29
transcript.pyannote[2805].start 21411.65534375
transcript.pyannote[2805].end 21412.00971875
transcript.pyannote[2806].speaker SPEAKER_05
transcript.pyannote[2806].start 21412.38096875
transcript.pyannote[2806].end 21413.51159375
transcript.pyannote[2807].speaker SPEAKER_05
transcript.pyannote[2807].start 21415.04721875
transcript.pyannote[2807].end 21415.77284375
transcript.pyannote[2808].speaker SPEAKER_05
transcript.pyannote[2808].start 21416.46471875
transcript.pyannote[2808].end 21417.17346875
transcript.pyannote[2809].speaker SPEAKER_05
transcript.pyannote[2809].start 21417.67971875
transcript.pyannote[2809].end 21429.30659375
transcript.pyannote[2810].speaker SPEAKER_05
transcript.pyannote[2810].start 21429.84659375
transcript.pyannote[2810].end 21432.07409375
transcript.pyannote[2811].speaker SPEAKER_46
transcript.pyannote[2811].start 21432.04034375
transcript.pyannote[2811].end 21432.32721875
transcript.pyannote[2812].speaker SPEAKER_29
transcript.pyannote[2812].start 21432.32721875
transcript.pyannote[2812].end 21432.34409375
transcript.pyannote[2813].speaker SPEAKER_05
transcript.pyannote[2813].start 21432.52971875
transcript.pyannote[2813].end 21437.11971875
transcript.pyannote[2814].speaker SPEAKER_29
transcript.pyannote[2814].start 21437.33909375
transcript.pyannote[2814].end 21447.63284375
transcript.pyannote[2815].speaker SPEAKER_05
transcript.pyannote[2815].start 21437.60909375
transcript.pyannote[2815].end 21437.69346875
transcript.pyannote[2816].speaker SPEAKER_05
transcript.pyannote[2816].start 21440.22471875
transcript.pyannote[2816].end 21440.68034375
transcript.pyannote[2817].speaker SPEAKER_05
transcript.pyannote[2817].start 21446.29971875
transcript.pyannote[2817].end 21450.99096875
transcript.pyannote[2818].speaker SPEAKER_39
transcript.pyannote[2818].start 21449.69159375
transcript.pyannote[2818].end 21449.70846875
transcript.pyannote[2819].speaker SPEAKER_29
transcript.pyannote[2819].start 21449.70846875
transcript.pyannote[2819].end 21450.88971875
transcript.pyannote[2820].speaker SPEAKER_39
transcript.pyannote[2820].start 21450.88971875
transcript.pyannote[2820].end 21450.97409375
transcript.pyannote[2821].speaker SPEAKER_39
transcript.pyannote[2821].start 21450.99096875
transcript.pyannote[2821].end 21451.00784375
transcript.pyannote[2822].speaker SPEAKER_39
transcript.pyannote[2822].start 21451.24409375
transcript.pyannote[2822].end 21451.59846875
transcript.pyannote[2823].speaker SPEAKER_05
transcript.pyannote[2823].start 21451.59846875
transcript.pyannote[2823].end 21455.56409375
transcript.pyannote[2824].speaker SPEAKER_39
transcript.pyannote[2824].start 21453.58971875
transcript.pyannote[2824].end 21454.02846875
transcript.pyannote[2825].speaker SPEAKER_08
transcript.pyannote[2825].start 21454.02846875
transcript.pyannote[2825].end 21455.42909375
transcript.pyannote[2826].speaker SPEAKER_08
transcript.pyannote[2826].start 21456.27284375
transcript.pyannote[2826].end 21462.55034375
transcript.pyannote[2827].speaker SPEAKER_05
transcript.pyannote[2827].start 21460.40721875
transcript.pyannote[2827].end 21462.63471875
transcript.pyannote[2828].speaker SPEAKER_08
transcript.pyannote[2828].start 21462.63471875
transcript.pyannote[2828].end 21462.70221875
transcript.pyannote[2829].speaker SPEAKER_05
transcript.pyannote[2829].start 21462.70221875
transcript.pyannote[2829].end 21462.97221875
transcript.pyannote[2830].speaker SPEAKER_08
transcript.pyannote[2830].start 21462.97221875
transcript.pyannote[2830].end 21463.02284375
transcript.pyannote[2831].speaker SPEAKER_05
transcript.pyannote[2831].start 21463.02284375
transcript.pyannote[2831].end 21466.88721875
transcript.pyannote[2832].speaker SPEAKER_29
transcript.pyannote[2832].start 21466.02659375
transcript.pyannote[2832].end 21472.08471875
transcript.pyannote[2833].speaker SPEAKER_05
transcript.pyannote[2833].start 21471.93284375
transcript.pyannote[2833].end 21474.90284375
transcript.pyannote[2834].speaker SPEAKER_05
transcript.pyannote[2834].start 21475.67909375
transcript.pyannote[2834].end 21477.16409375
transcript.pyannote[2835].speaker SPEAKER_05
transcript.pyannote[2835].start 21479.00346875
transcript.pyannote[2835].end 21481.97346875
transcript.pyannote[2836].speaker SPEAKER_39
transcript.pyannote[2836].start 21480.77534375
transcript.pyannote[2836].end 21481.93971875
transcript.pyannote[2837].speaker SPEAKER_07
transcript.pyannote[2837].start 21481.93971875
transcript.pyannote[2837].end 21482.31096875
transcript.pyannote[2838].speaker SPEAKER_39
transcript.pyannote[2838].start 21481.97346875
transcript.pyannote[2838].end 21482.00721875
transcript.pyannote[2839].speaker SPEAKER_39
transcript.pyannote[2839].start 21482.22659375
transcript.pyannote[2839].end 21482.98596875
transcript.pyannote[2840].speaker SPEAKER_05
transcript.pyannote[2840].start 21482.31096875
transcript.pyannote[2840].end 21482.32784375
transcript.pyannote[2841].speaker SPEAKER_39
transcript.pyannote[2841].start 21484.03221875
transcript.pyannote[2841].end 21484.58909375
transcript.pyannote[2842].speaker SPEAKER_07
transcript.pyannote[2842].start 21485.73659375
transcript.pyannote[2842].end 21487.23846875
transcript.pyannote[2843].speaker SPEAKER_07
transcript.pyannote[2843].start 21488.48721875
transcript.pyannote[2843].end 21490.29284375
transcript.pyannote[2844].speaker SPEAKER_36
transcript.pyannote[2844].start 21499.81034375
transcript.pyannote[2844].end 21501.32909375
transcript.pyannote[2845].speaker SPEAKER_07
transcript.pyannote[2845].start 21501.97034375
transcript.pyannote[2845].end 21502.76346875
transcript.pyannote[2846].speaker SPEAKER_36
transcript.pyannote[2846].start 21508.38284375
transcript.pyannote[2846].end 21524.56596875
transcript.pyannote[2847].speaker SPEAKER_29
transcript.pyannote[2847].start 21525.98346875
transcript.pyannote[2847].end 21540.25971875
transcript.pyannote[2848].speaker SPEAKER_48
transcript.pyannote[2848].start 21530.42159375
transcript.pyannote[2848].end 21530.69159375
transcript.pyannote[2849].speaker SPEAKER_36
transcript.pyannote[2849].start 21539.80409375
transcript.pyannote[2849].end 21540.74909375
transcript.pyannote[2850].speaker SPEAKER_29
transcript.pyannote[2850].start 21541.01909375
transcript.pyannote[2850].end 21542.40284375
transcript.pyannote[2851].speaker SPEAKER_36
transcript.pyannote[2851].start 21542.40284375
transcript.pyannote[2851].end 21545.01846875
transcript.pyannote[2852].speaker SPEAKER_36
transcript.pyannote[2852].start 21545.38971875
transcript.pyannote[2852].end 21546.85784375
transcript.pyannote[2853].speaker SPEAKER_29
transcript.pyannote[2853].start 21546.13221875
transcript.pyannote[2853].end 21548.81534375
transcript.pyannote[2854].speaker SPEAKER_36
transcript.pyannote[2854].start 21548.27534375
transcript.pyannote[2854].end 21548.56221875
transcript.pyannote[2855].speaker SPEAKER_29
transcript.pyannote[2855].start 21548.95034375
transcript.pyannote[2855].end 21551.75159375
transcript.pyannote[2856].speaker SPEAKER_36
transcript.pyannote[2856].start 21549.10221875
transcript.pyannote[2856].end 21549.32159375
transcript.pyannote[2857].speaker SPEAKER_36
transcript.pyannote[2857].start 21549.91221875
transcript.pyannote[2857].end 21613.26096875
transcript.pyannote[2858].speaker SPEAKER_36
transcript.pyannote[2858].start 21613.53096875
transcript.pyannote[2858].end 21637.66221875
transcript.pyannote[2859].speaker SPEAKER_36
transcript.pyannote[2859].start 21637.96596875
transcript.pyannote[2859].end 21638.72534375
transcript.pyannote[2860].speaker SPEAKER_29
transcript.pyannote[2860].start 21638.20221875
transcript.pyannote[2860].end 21674.06159375
transcript.pyannote[2861].speaker SPEAKER_36
transcript.pyannote[2861].start 21639.04596875
transcript.pyannote[2861].end 21639.26534375
transcript.pyannote[2862].speaker SPEAKER_36
transcript.pyannote[2862].start 21639.85596875
transcript.pyannote[2862].end 21640.07534375
transcript.pyannote[2863].speaker SPEAKER_30
transcript.pyannote[2863].start 21658.62096875
transcript.pyannote[2863].end 21658.75596875
transcript.pyannote[2864].speaker SPEAKER_36
transcript.pyannote[2864].start 21658.75596875
transcript.pyannote[2864].end 21659.19471875
transcript.pyannote[2865].speaker SPEAKER_30
transcript.pyannote[2865].start 21659.19471875
transcript.pyannote[2865].end 21659.27909375
transcript.pyannote[2866].speaker SPEAKER_30
transcript.pyannote[2866].start 21660.46034375
transcript.pyannote[2866].end 21660.79784375
transcript.pyannote[2867].speaker SPEAKER_31
transcript.pyannote[2867].start 21672.72846875
transcript.pyannote[2867].end 21672.74534375
transcript.pyannote[2868].speaker SPEAKER_36
transcript.pyannote[2868].start 21672.74534375
transcript.pyannote[2868].end 21732.06096875
transcript.pyannote[2869].speaker SPEAKER_46
transcript.pyannote[2869].start 21686.41409375
transcript.pyannote[2869].end 21686.97096875
transcript.pyannote[2870].speaker SPEAKER_29
transcript.pyannote[2870].start 21686.97096875
transcript.pyannote[2870].end 21689.53596875
transcript.pyannote[2871].speaker SPEAKER_00
transcript.pyannote[2871].start 21689.53596875
transcript.pyannote[2871].end 21689.68784375
transcript.pyannote[2872].speaker SPEAKER_29
transcript.pyannote[2872].start 21731.38596875
transcript.pyannote[2872].end 21738.74346875
transcript.pyannote[2873].speaker SPEAKER_36
transcript.pyannote[2873].start 21732.28034375
transcript.pyannote[2873].end 21732.58409375
transcript.pyannote[2874].speaker SPEAKER_36
transcript.pyannote[2874].start 21733.19159375
transcript.pyannote[2874].end 21733.88346875
transcript.pyannote[2875].speaker SPEAKER_36
transcript.pyannote[2875].start 21735.97596875
transcript.pyannote[2875].end 21761.59221875
transcript.pyannote[2876].speaker SPEAKER_29
transcript.pyannote[2876].start 21740.85284375
transcript.pyannote[2876].end 21745.86471875
transcript.pyannote[2877].speaker SPEAKER_29
transcript.pyannote[2877].start 21761.59221875
transcript.pyannote[2877].end 21761.71034375
transcript.pyannote[2878].speaker SPEAKER_36
transcript.pyannote[2878].start 21761.71034375
transcript.pyannote[2878].end 21762.38534375
transcript.pyannote[2879].speaker SPEAKER_29
transcript.pyannote[2879].start 21762.03096875
transcript.pyannote[2879].end 21775.21034375
transcript.pyannote[2880].speaker SPEAKER_36
transcript.pyannote[2880].start 21769.21971875
transcript.pyannote[2880].end 21769.30409375
transcript.pyannote[2881].speaker SPEAKER_36
transcript.pyannote[2881].start 21773.25284375
transcript.pyannote[2881].end 21776.62784375
transcript.pyannote[2882].speaker SPEAKER_36
transcript.pyannote[2882].start 21776.98221875
transcript.pyannote[2882].end 21778.01159375
transcript.pyannote[2883].speaker SPEAKER_29
transcript.pyannote[2883].start 21777.01596875
transcript.pyannote[2883].end 21778.02846875
transcript.pyannote[2884].speaker SPEAKER_36
transcript.pyannote[2884].start 21778.02846875
transcript.pyannote[2884].end 21778.04534375
transcript.pyannote[2885].speaker SPEAKER_29
transcript.pyannote[2885].start 21778.04534375
transcript.pyannote[2885].end 21778.51784375
transcript.pyannote[2886].speaker SPEAKER_36
transcript.pyannote[2886].start 21778.51784375
transcript.pyannote[2886].end 21780.50909375
transcript.pyannote[2887].speaker SPEAKER_36
transcript.pyannote[2887].start 21781.77471875
transcript.pyannote[2887].end 21786.16221875
transcript.pyannote[2888].speaker SPEAKER_29
transcript.pyannote[2888].start 21786.02721875
transcript.pyannote[2888].end 21786.11159375
transcript.pyannote[2889].speaker SPEAKER_46
transcript.pyannote[2889].start 21786.16221875
transcript.pyannote[2889].end 21786.36471875
transcript.pyannote[2890].speaker SPEAKER_36
transcript.pyannote[2890].start 21787.12409375
transcript.pyannote[2890].end 21797.28284375
transcript.pyannote[2891].speaker SPEAKER_29
transcript.pyannote[2891].start 21787.39409375
transcript.pyannote[2891].end 21787.42784375
transcript.pyannote[2892].speaker SPEAKER_46
transcript.pyannote[2892].start 21787.42784375
transcript.pyannote[2892].end 21788.03534375
transcript.pyannote[2893].speaker SPEAKER_29
transcript.pyannote[2893].start 21788.03534375
transcript.pyannote[2893].end 21791.07284375
transcript.pyannote[2894].speaker SPEAKER_29
transcript.pyannote[2894].start 21794.90346875
transcript.pyannote[2894].end 21799.10534375
transcript.pyannote[2895].speaker SPEAKER_36
transcript.pyannote[2895].start 21797.97471875
transcript.pyannote[2895].end 21808.01534375
transcript.pyannote[2896].speaker SPEAKER_36
transcript.pyannote[2896].start 21808.23471875
transcript.pyannote[2896].end 21813.24659375
transcript.pyannote[2897].speaker SPEAKER_29
transcript.pyannote[2897].start 21812.57159375
transcript.pyannote[2897].end 21816.28409375
transcript.pyannote[2898].speaker SPEAKER_36
transcript.pyannote[2898].start 21815.18721875
transcript.pyannote[2898].end 21817.51596875
transcript.pyannote[2899].speaker SPEAKER_29
transcript.pyannote[2899].start 21817.41471875
transcript.pyannote[2899].end 21820.08096875
transcript.pyannote[2900].speaker SPEAKER_36
transcript.pyannote[2900].start 21817.95471875
transcript.pyannote[2900].end 21818.76471875
transcript.pyannote[2901].speaker SPEAKER_36
transcript.pyannote[2901].start 21820.06409375
transcript.pyannote[2901].end 21820.92471875
transcript.pyannote[2902].speaker SPEAKER_29
transcript.pyannote[2902].start 21820.92471875
transcript.pyannote[2902].end 21821.21159375
transcript.pyannote[2903].speaker SPEAKER_07
transcript.pyannote[2903].start 21824.38409375
transcript.pyannote[2903].end 21825.02534375
transcript.pyannote[2904].speaker SPEAKER_07
transcript.pyannote[2904].start 21827.23596875
transcript.pyannote[2904].end 21829.41284375
transcript.pyannote[2905].speaker SPEAKER_32
transcript.pyannote[2905].start 21843.97596875
transcript.pyannote[2905].end 21846.35534375
transcript.pyannote[2906].speaker SPEAKER_07
transcript.pyannote[2906].start 21846.69284375
transcript.pyannote[2906].end 21847.82346875
transcript.pyannote[2907].speaker SPEAKER_32
transcript.pyannote[2907].start 21855.01221875
transcript.pyannote[2907].end 21873.23721875
transcript.pyannote[2908].speaker SPEAKER_32
transcript.pyannote[2908].start 21873.47346875
transcript.pyannote[2908].end 21877.92846875
transcript.pyannote[2909].speaker SPEAKER_32
transcript.pyannote[2909].start 21878.38409375
transcript.pyannote[2909].end 21885.65721875
transcript.pyannote[2910].speaker SPEAKER_32
transcript.pyannote[2910].start 21886.26471875
transcript.pyannote[2910].end 21898.61721875
transcript.pyannote[2911].speaker SPEAKER_29
transcript.pyannote[2911].start 21898.80284375
transcript.pyannote[2911].end 21936.14721875
transcript.pyannote[2912].speaker SPEAKER_32
transcript.pyannote[2912].start 21935.86034375
transcript.pyannote[2912].end 21946.55909375
transcript.pyannote[2913].speaker SPEAKER_29
transcript.pyannote[2913].start 21946.03596875
transcript.pyannote[2913].end 21951.52034375
transcript.pyannote[2914].speaker SPEAKER_32
transcript.pyannote[2914].start 21951.55409375
transcript.pyannote[2914].end 21957.79784375
transcript.pyannote[2915].speaker SPEAKER_29
transcript.pyannote[2915].start 21952.93784375
transcript.pyannote[2915].end 21960.07596875
transcript.pyannote[2916].speaker SPEAKER_32
transcript.pyannote[2916].start 21959.09721875
transcript.pyannote[2916].end 21968.51346875
transcript.pyannote[2917].speaker SPEAKER_29
transcript.pyannote[2917].start 21960.16034375
transcript.pyannote[2917].end 21960.56534375
transcript.pyannote[2918].speaker SPEAKER_29
transcript.pyannote[2918].start 21960.66659375
transcript.pyannote[2918].end 21962.23596875
transcript.pyannote[2919].speaker SPEAKER_29
transcript.pyannote[2919].start 21967.78784375
transcript.pyannote[2919].end 21976.22534375
transcript.pyannote[2920].speaker SPEAKER_32
transcript.pyannote[2920].start 21972.44534375
transcript.pyannote[2920].end 21973.13721875
transcript.pyannote[2921].speaker SPEAKER_32
transcript.pyannote[2921].start 21975.85409375
transcript.pyannote[2921].end 21996.99846875
transcript.pyannote[2922].speaker SPEAKER_29
transcript.pyannote[2922].start 21976.57971875
transcript.pyannote[2922].end 21976.66409375
transcript.pyannote[2923].speaker SPEAKER_29
transcript.pyannote[2923].start 21997.48784375
transcript.pyannote[2923].end 21999.39471875
transcript.pyannote[2924].speaker SPEAKER_30
transcript.pyannote[2924].start 21997.55534375
transcript.pyannote[2924].end 21997.57221875
transcript.pyannote[2925].speaker SPEAKER_32
transcript.pyannote[2925].start 21997.57221875
transcript.pyannote[2925].end 21998.29784375
transcript.pyannote[2926].speaker SPEAKER_30
transcript.pyannote[2926].start 21998.29784375
transcript.pyannote[2926].end 21998.36534375
transcript.pyannote[2927].speaker SPEAKER_32
transcript.pyannote[2927].start 21999.39471875
transcript.pyannote[2927].end 21999.44534375
transcript.pyannote[2928].speaker SPEAKER_30
transcript.pyannote[2928].start 21999.44534375
transcript.pyannote[2928].end 21999.78284375
transcript.pyannote[2929].speaker SPEAKER_32
transcript.pyannote[2929].start 21999.78284375
transcript.pyannote[2929].end 21999.79971875
transcript.pyannote[2930].speaker SPEAKER_30
transcript.pyannote[2930].start 21999.79971875
transcript.pyannote[2930].end 21999.95159375
transcript.pyannote[2931].speaker SPEAKER_30
transcript.pyannote[2931].start 22001.48721875
transcript.pyannote[2931].end 22014.04221875
transcript.pyannote[2932].speaker SPEAKER_32
transcript.pyannote[2932].start 22013.43471875
transcript.pyannote[2932].end 22018.02471875
transcript.pyannote[2933].speaker SPEAKER_30
transcript.pyannote[2933].start 22018.02471875
transcript.pyannote[2933].end 22032.97596875
transcript.pyannote[2934].speaker SPEAKER_32
transcript.pyannote[2934].start 22032.97596875
transcript.pyannote[2934].end 22052.38221875
transcript.pyannote[2935].speaker SPEAKER_30
transcript.pyannote[2935].start 22054.44096875
transcript.pyannote[2935].end 22068.51471875
transcript.pyannote[2936].speaker SPEAKER_32
transcript.pyannote[2936].start 22067.48534375
transcript.pyannote[2936].end 22094.58659375
transcript.pyannote[2937].speaker SPEAKER_29
transcript.pyannote[2937].start 22094.35034375
transcript.pyannote[2937].end 22094.53596875
transcript.pyannote[2938].speaker SPEAKER_29
transcript.pyannote[2938].start 22094.58659375
transcript.pyannote[2938].end 22095.07596875
transcript.pyannote[2939].speaker SPEAKER_32
transcript.pyannote[2939].start 22095.07596875
transcript.pyannote[2939].end 22126.93596875
transcript.pyannote[2940].speaker SPEAKER_29
transcript.pyannote[2940].start 22095.09284375
transcript.pyannote[2940].end 22095.19409375
transcript.pyannote[2941].speaker SPEAKER_29
transcript.pyannote[2941].start 22126.93596875
transcript.pyannote[2941].end 22139.67659375
transcript.pyannote[2942].speaker SPEAKER_34
transcript.pyannote[2942].start 22139.84534375
transcript.pyannote[2942].end 22156.88909375
transcript.pyannote[2943].speaker SPEAKER_32
transcript.pyannote[2943].start 22156.88909375
transcript.pyannote[2943].end 22177.67909375
transcript.pyannote[2944].speaker SPEAKER_34
transcript.pyannote[2944].start 22178.50596875
transcript.pyannote[2944].end 22182.70784375
transcript.pyannote[2945].speaker SPEAKER_32
transcript.pyannote[2945].start 22182.70784375
transcript.pyannote[2945].end 22183.07909375
transcript.pyannote[2946].speaker SPEAKER_34
transcript.pyannote[2946].start 22183.07909375
transcript.pyannote[2946].end 22207.75034375
transcript.pyannote[2947].speaker SPEAKER_32
transcript.pyannote[2947].start 22207.17659375
transcript.pyannote[2947].end 22233.29909375
transcript.pyannote[2948].speaker SPEAKER_29
transcript.pyannote[2948].start 22233.29909375
transcript.pyannote[2948].end 22243.25534375
transcript.pyannote[2949].speaker SPEAKER_32
transcript.pyannote[2949].start 22241.29784375
transcript.pyannote[2949].end 22241.46659375
transcript.pyannote[2950].speaker SPEAKER_32
transcript.pyannote[2950].start 22243.25534375
transcript.pyannote[2950].end 22272.17909375
transcript.pyannote[2951].speaker SPEAKER_39
transcript.pyannote[2951].start 22272.17909375
transcript.pyannote[2951].end 22272.90471875
transcript.pyannote[2952].speaker SPEAKER_32
transcript.pyannote[2952].start 22272.90471875
transcript.pyannote[2952].end 22273.54596875
transcript.pyannote[2953].speaker SPEAKER_39
transcript.pyannote[2953].start 22273.54596875
transcript.pyannote[2953].end 22273.57971875
transcript.pyannote[2954].speaker SPEAKER_32
transcript.pyannote[2954].start 22273.57971875
transcript.pyannote[2954].end 22273.61346875
transcript.pyannote[2955].speaker SPEAKER_32
transcript.pyannote[2955].start 22273.96784375
transcript.pyannote[2955].end 22273.98471875
transcript.pyannote[2956].speaker SPEAKER_39
transcript.pyannote[2956].start 22273.98471875
transcript.pyannote[2956].end 22274.72721875
transcript.pyannote[2957].speaker SPEAKER_07
transcript.pyannote[2957].start 22276.65096875
transcript.pyannote[2957].end 22278.20346875
transcript.pyannote[2958].speaker SPEAKER_07
transcript.pyannote[2958].start 22279.97534375
transcript.pyannote[2958].end 22282.06784375
transcript.pyannote[2959].speaker SPEAKER_26
transcript.pyannote[2959].start 22289.47596875
transcript.pyannote[2959].end 22291.01159375
transcript.pyannote[2960].speaker SPEAKER_07
transcript.pyannote[2960].start 22291.43346875
transcript.pyannote[2960].end 22292.51346875
transcript.pyannote[2961].speaker SPEAKER_26
transcript.pyannote[2961].start 22298.11596875
transcript.pyannote[2961].end 22355.47409375
transcript.pyannote[2962].speaker SPEAKER_00
transcript.pyannote[2962].start 22302.01409375
transcript.pyannote[2962].end 22302.28409375
transcript.pyannote[2963].speaker SPEAKER_46
transcript.pyannote[2963].start 22353.85409375
transcript.pyannote[2963].end 22353.87096875
transcript.pyannote[2964].speaker SPEAKER_46
transcript.pyannote[2964].start 22354.05659375
transcript.pyannote[2964].end 22354.20846875
transcript.pyannote[2965].speaker SPEAKER_26
transcript.pyannote[2965].start 22355.49096875
transcript.pyannote[2965].end 22356.58784375
transcript.pyannote[2966].speaker SPEAKER_26
transcript.pyannote[2966].start 22356.87471875
transcript.pyannote[2966].end 22357.02659375
transcript.pyannote[2967].speaker SPEAKER_29
transcript.pyannote[2967].start 22357.02659375
transcript.pyannote[2967].end 22357.16159375
transcript.pyannote[2968].speaker SPEAKER_26
transcript.pyannote[2968].start 22357.16159375
transcript.pyannote[2968].end 22357.34721875
transcript.pyannote[2969].speaker SPEAKER_29
transcript.pyannote[2969].start 22357.34721875
transcript.pyannote[2969].end 22365.19409375
transcript.pyannote[2970].speaker SPEAKER_26
transcript.pyannote[2970].start 22357.39784375
transcript.pyannote[2970].end 22357.68471875
transcript.pyannote[2971].speaker SPEAKER_26
transcript.pyannote[2971].start 22365.97034375
transcript.pyannote[2971].end 22376.19659375
transcript.pyannote[2972].speaker SPEAKER_08
transcript.pyannote[2972].start 22376.60159375
transcript.pyannote[2972].end 22383.08159375
transcript.pyannote[2973].speaker SPEAKER_26
transcript.pyannote[2973].start 22377.36096875
transcript.pyannote[2973].end 22377.39471875
transcript.pyannote[2974].speaker SPEAKER_46
transcript.pyannote[2974].start 22377.39471875
transcript.pyannote[2974].end 22377.44534375
transcript.pyannote[2975].speaker SPEAKER_08
transcript.pyannote[2975].start 22383.41909375
transcript.pyannote[2975].end 22388.68409375
transcript.pyannote[2976].speaker SPEAKER_08
transcript.pyannote[2976].start 22388.95409375
transcript.pyannote[2976].end 22394.82659375
transcript.pyannote[2977].speaker SPEAKER_26
transcript.pyannote[2977].start 22394.94471875
transcript.pyannote[2977].end 22408.88346875
transcript.pyannote[2978].speaker SPEAKER_26
transcript.pyannote[2978].start 22409.20409375
transcript.pyannote[2978].end 22418.60346875
transcript.pyannote[2979].speaker SPEAKER_14
transcript.pyannote[2979].start 22419.88596875
transcript.pyannote[2979].end 22442.56596875
transcript.pyannote[2980].speaker SPEAKER_36
transcript.pyannote[2980].start 22429.30221875
transcript.pyannote[2980].end 22430.48346875
transcript.pyannote[2981].speaker SPEAKER_26
transcript.pyannote[2981].start 22442.02596875
transcript.pyannote[2981].end 22449.02909375
transcript.pyannote[2982].speaker SPEAKER_29
transcript.pyannote[2982].start 22447.67909375
transcript.pyannote[2982].end 22449.01221875
transcript.pyannote[2983].speaker SPEAKER_29
transcript.pyannote[2983].start 22449.02909375
transcript.pyannote[2983].end 22449.07971875
transcript.pyannote[2984].speaker SPEAKER_26
transcript.pyannote[2984].start 22449.07971875
transcript.pyannote[2984].end 22449.09659375
transcript.pyannote[2985].speaker SPEAKER_29
transcript.pyannote[2985].start 22449.09659375
transcript.pyannote[2985].end 22449.56909375
transcript.pyannote[2986].speaker SPEAKER_26
transcript.pyannote[2986].start 22449.56909375
transcript.pyannote[2986].end 22449.80534375
transcript.pyannote[2987].speaker SPEAKER_29
transcript.pyannote[2987].start 22449.80534375
transcript.pyannote[2987].end 22450.41284375
transcript.pyannote[2988].speaker SPEAKER_26
transcript.pyannote[2988].start 22450.41284375
transcript.pyannote[2988].end 22451.93159375
transcript.pyannote[2989].speaker SPEAKER_29
transcript.pyannote[2989].start 22450.63221875
transcript.pyannote[2989].end 22458.98534375
transcript.pyannote[2990].speaker SPEAKER_26
transcript.pyannote[2990].start 22455.88034375
transcript.pyannote[2990].end 22458.93471875
transcript.pyannote[2991].speaker SPEAKER_26
transcript.pyannote[2991].start 22458.98534375
transcript.pyannote[2991].end 22461.44909375
transcript.pyannote[2992].speaker SPEAKER_29
transcript.pyannote[2992].start 22459.28909375
transcript.pyannote[2992].end 22466.07284375
transcript.pyannote[2993].speaker SPEAKER_26
transcript.pyannote[2993].start 22464.95909375
transcript.pyannote[2993].end 22469.85284375
transcript.pyannote[2994].speaker SPEAKER_29
transcript.pyannote[2994].start 22468.11471875
transcript.pyannote[2994].end 22468.57034375
transcript.pyannote[2995].speaker SPEAKER_29
transcript.pyannote[2995].start 22469.56596875
transcript.pyannote[2995].end 22485.19221875
transcript.pyannote[2996].speaker SPEAKER_26
transcript.pyannote[2996].start 22472.21534375
transcript.pyannote[2996].end 22474.81409375
transcript.pyannote[2997].speaker SPEAKER_26
transcript.pyannote[2997].start 22481.31096875
transcript.pyannote[2997].end 22489.49534375
transcript.pyannote[2998].speaker SPEAKER_29
transcript.pyannote[2998].start 22488.31409375
transcript.pyannote[2998].end 22492.06034375
transcript.pyannote[2999].speaker SPEAKER_26
transcript.pyannote[2999].start 22490.13659375
transcript.pyannote[2999].end 22545.55409375
transcript.pyannote[3000].speaker SPEAKER_29
transcript.pyannote[3000].start 22495.78971875
transcript.pyannote[3000].end 22496.16096875
transcript.pyannote[3001].speaker SPEAKER_29
transcript.pyannote[3001].start 22546.71846875
transcript.pyannote[3001].end 22548.57471875
transcript.pyannote[3002].speaker SPEAKER_34
transcript.pyannote[3002].start 22549.31721875
transcript.pyannote[3002].end 22558.81784375
transcript.pyannote[3003].speaker SPEAKER_26
transcript.pyannote[3003].start 22557.51846875
transcript.pyannote[3003].end 22575.22034375
transcript.pyannote[3004].speaker SPEAKER_34
transcript.pyannote[3004].start 22562.53034375
transcript.pyannote[3004].end 22562.96909375
transcript.pyannote[3005].speaker SPEAKER_34
transcript.pyannote[3005].start 22571.15346875
transcript.pyannote[3005].end 22571.92971875
transcript.pyannote[3006].speaker SPEAKER_34
transcript.pyannote[3006].start 22575.23721875
transcript.pyannote[3006].end 22576.40159375
transcript.pyannote[3007].speaker SPEAKER_34
transcript.pyannote[3007].start 22576.72221875
transcript.pyannote[3007].end 22595.03159375
transcript.pyannote[3008].speaker SPEAKER_26
transcript.pyannote[3008].start 22595.03159375
transcript.pyannote[3008].end 22610.75909375
transcript.pyannote[3009].speaker SPEAKER_00
transcript.pyannote[3009].start 22601.95034375
transcript.pyannote[3009].end 22602.00096875
transcript.pyannote[3010].speaker SPEAKER_34
transcript.pyannote[3010].start 22602.00096875
transcript.pyannote[3010].end 22603.13159375
transcript.pyannote[3011].speaker SPEAKER_00
transcript.pyannote[3011].start 22603.13159375
transcript.pyannote[3011].end 22603.60409375
transcript.pyannote[3012].speaker SPEAKER_26
transcript.pyannote[3012].start 22611.19784375
transcript.pyannote[3012].end 22612.02471875
transcript.pyannote[3013].speaker SPEAKER_29
transcript.pyannote[3013].start 22612.02471875
transcript.pyannote[3013].end 22639.98659375
transcript.pyannote[3014].speaker SPEAKER_26
transcript.pyannote[3014].start 22638.87284375
transcript.pyannote[3014].end 22639.69971875
transcript.pyannote[3015].speaker SPEAKER_26
transcript.pyannote[3015].start 22639.98659375
transcript.pyannote[3015].end 22640.00346875
transcript.pyannote[3016].speaker SPEAKER_29
transcript.pyannote[3016].start 22640.00346875
transcript.pyannote[3016].end 22640.02034375
transcript.pyannote[3017].speaker SPEAKER_26
transcript.pyannote[3017].start 22640.02034375
transcript.pyannote[3017].end 22650.93846875
transcript.pyannote[3018].speaker SPEAKER_29
transcript.pyannote[3018].start 22640.05409375
transcript.pyannote[3018].end 22640.57721875
transcript.pyannote[3019].speaker SPEAKER_29
transcript.pyannote[3019].start 22650.19596875
transcript.pyannote[3019].end 22651.29284375
transcript.pyannote[3020].speaker SPEAKER_26
transcript.pyannote[3020].start 22651.29284375
transcript.pyannote[3020].end 22654.02659375
transcript.pyannote[3021].speaker SPEAKER_29
transcript.pyannote[3021].start 22654.02659375
transcript.pyannote[3021].end 22655.51159375
transcript.pyannote[3022].speaker SPEAKER_29
transcript.pyannote[3022].start 22656.11909375
transcript.pyannote[3022].end 22657.58721875
transcript.pyannote[3023].speaker SPEAKER_46
transcript.pyannote[3023].start 22657.58721875
transcript.pyannote[3023].end 22658.04284375
transcript.pyannote[3024].speaker SPEAKER_29
transcript.pyannote[3024].start 22658.19471875
transcript.pyannote[3024].end 22661.97471875
transcript.pyannote[3025].speaker SPEAKER_26
transcript.pyannote[3025].start 22661.97471875
transcript.pyannote[3025].end 22662.58221875
transcript.pyannote[3026].speaker SPEAKER_29
transcript.pyannote[3026].start 22662.58221875
transcript.pyannote[3026].end 22663.18971875
transcript.pyannote[3027].speaker SPEAKER_26
transcript.pyannote[3027].start 22662.59909375
transcript.pyannote[3027].end 22662.61596875
transcript.pyannote[3028].speaker SPEAKER_46
transcript.pyannote[3028].start 22662.61596875
transcript.pyannote[3028].end 22662.97034375
transcript.pyannote[3029].speaker SPEAKER_26
transcript.pyannote[3029].start 22662.97034375
transcript.pyannote[3029].end 22674.66471875
transcript.pyannote[3030].speaker SPEAKER_46
transcript.pyannote[3030].start 22663.18971875
transcript.pyannote[3030].end 22663.25721875
transcript.pyannote[3031].speaker SPEAKER_29
transcript.pyannote[3031].start 22663.25721875
transcript.pyannote[3031].end 22663.83096875
transcript.pyannote[3032].speaker SPEAKER_46
transcript.pyannote[3032].start 22663.83096875
transcript.pyannote[3032].end 22663.84784375
transcript.pyannote[3033].speaker SPEAKER_29
transcript.pyannote[3033].start 22669.92284375
transcript.pyannote[3033].end 22670.02409375
transcript.pyannote[3034].speaker SPEAKER_29
transcript.pyannote[3034].start 22674.66471875
transcript.pyannote[3034].end 22680.45284375
transcript.pyannote[3035].speaker SPEAKER_26
transcript.pyannote[3035].start 22674.76596875
transcript.pyannote[3035].end 22675.27221875
transcript.pyannote[3036].speaker SPEAKER_29
transcript.pyannote[3036].start 22680.77346875
transcript.pyannote[3036].end 22681.43159375
transcript.pyannote[3037].speaker SPEAKER_26
transcript.pyannote[3037].start 22681.43159375
transcript.pyannote[3037].end 22681.44846875
transcript.pyannote[3038].speaker SPEAKER_07
transcript.pyannote[3038].start 22683.74346875
transcript.pyannote[3038].end 22685.26221875
transcript.pyannote[3039].speaker SPEAKER_07
transcript.pyannote[3039].start 22687.05096875
transcript.pyannote[3039].end 22688.77221875
transcript.pyannote[3040].speaker SPEAKER_10
transcript.pyannote[3040].start 22697.58096875
transcript.pyannote[3040].end 22698.96471875
transcript.pyannote[3041].speaker SPEAKER_10
transcript.pyannote[3041].start 22700.09534375
transcript.pyannote[3041].end 22702.47471875
transcript.pyannote[3042].speaker SPEAKER_07
transcript.pyannote[3042].start 22702.72784375
transcript.pyannote[3042].end 22703.79096875
transcript.pyannote[3043].speaker SPEAKER_10
transcript.pyannote[3043].start 22710.06846875
transcript.pyannote[3043].end 22723.53471875
transcript.pyannote[3044].speaker SPEAKER_46
transcript.pyannote[3044].start 22711.24971875
transcript.pyannote[3044].end 22711.48596875
transcript.pyannote[3045].speaker SPEAKER_10
transcript.pyannote[3045].start 22723.82159375
transcript.pyannote[3045].end 22756.37346875
transcript.pyannote[3046].speaker SPEAKER_29
transcript.pyannote[3046].start 22757.63909375
transcript.pyannote[3046].end 22765.84034375
transcript.pyannote[3047].speaker SPEAKER_10
transcript.pyannote[3047].start 22760.18721875
transcript.pyannote[3047].end 22760.28846875
transcript.pyannote[3048].speaker SPEAKER_10
transcript.pyannote[3048].start 22760.69346875
transcript.pyannote[3048].end 22761.28409375
transcript.pyannote[3049].speaker SPEAKER_47
transcript.pyannote[3049].start 22761.28409375
transcript.pyannote[3049].end 22761.36846875
transcript.pyannote[3050].speaker SPEAKER_47
transcript.pyannote[3050].start 22765.84034375
transcript.pyannote[3050].end 22766.17784375
transcript.pyannote[3051].speaker SPEAKER_29
transcript.pyannote[3051].start 22766.17784375
transcript.pyannote[3051].end 22781.87159375
transcript.pyannote[3052].speaker SPEAKER_47
transcript.pyannote[3052].start 22770.24471875
transcript.pyannote[3052].end 22770.66659375
transcript.pyannote[3053].speaker SPEAKER_10
transcript.pyannote[3053].start 22770.66659375
transcript.pyannote[3053].end 22770.68346875
transcript.pyannote[3054].speaker SPEAKER_47
transcript.pyannote[3054].start 22770.68346875
transcript.pyannote[3054].end 22770.73409375
transcript.pyannote[3055].speaker SPEAKER_00
transcript.pyannote[3055].start 22774.69971875
transcript.pyannote[3055].end 22774.73346875
transcript.pyannote[3056].speaker SPEAKER_10
transcript.pyannote[3056].start 22774.73346875
transcript.pyannote[3056].end 22775.05409375
transcript.pyannote[3057].speaker SPEAKER_00
transcript.pyannote[3057].start 22775.05409375
transcript.pyannote[3057].end 22775.10471875
transcript.pyannote[3058].speaker SPEAKER_10
transcript.pyannote[3058].start 22776.53909375
transcript.pyannote[3058].end 22778.83409375
transcript.pyannote[3059].speaker SPEAKER_10
transcript.pyannote[3059].start 22781.36534375
transcript.pyannote[3059].end 22815.33471875
transcript.pyannote[3060].speaker SPEAKER_29
transcript.pyannote[3060].start 22788.11534375
transcript.pyannote[3060].end 22788.14909375
transcript.pyannote[3061].speaker SPEAKER_09
transcript.pyannote[3061].start 22811.26784375
transcript.pyannote[3061].end 22811.57159375
transcript.pyannote[3062].speaker SPEAKER_10
transcript.pyannote[3062].start 22819.92471875
transcript.pyannote[3062].end 22862.09534375
transcript.pyannote[3063].speaker SPEAKER_29
transcript.pyannote[3063].start 22862.09534375
transcript.pyannote[3063].end 22881.26534375
transcript.pyannote[3064].speaker SPEAKER_10
transcript.pyannote[3064].start 22864.33971875
transcript.pyannote[3064].end 22864.40721875
transcript.pyannote[3065].speaker SPEAKER_46
transcript.pyannote[3065].start 22864.40721875
transcript.pyannote[3065].end 22864.49159375
transcript.pyannote[3066].speaker SPEAKER_10
transcript.pyannote[3066].start 22864.49159375
transcript.pyannote[3066].end 22864.57596875
transcript.pyannote[3067].speaker SPEAKER_46
transcript.pyannote[3067].start 22864.57596875
transcript.pyannote[3067].end 22864.66034375
transcript.pyannote[3068].speaker SPEAKER_39
transcript.pyannote[3068].start 22870.04346875
transcript.pyannote[3068].end 22870.41471875
transcript.pyannote[3069].speaker SPEAKER_10
transcript.pyannote[3069].start 22880.38784375
transcript.pyannote[3069].end 22911.97784375
transcript.pyannote[3070].speaker SPEAKER_29
transcript.pyannote[3070].start 22882.48034375
transcript.pyannote[3070].end 22882.78409375
transcript.pyannote[3071].speaker SPEAKER_29
transcript.pyannote[3071].start 22910.99909375
transcript.pyannote[3071].end 22915.47096875
transcript.pyannote[3072].speaker SPEAKER_10
transcript.pyannote[3072].start 22915.47096875
transcript.pyannote[3072].end 22923.19971875
transcript.pyannote[3073].speaker SPEAKER_10
transcript.pyannote[3073].start 22923.70596875
transcript.pyannote[3073].end 22923.72284375
transcript.pyannote[3074].speaker SPEAKER_07
transcript.pyannote[3074].start 22923.72284375
transcript.pyannote[3074].end 22923.87471875
transcript.pyannote[3075].speaker SPEAKER_10
transcript.pyannote[3075].start 22923.87471875
transcript.pyannote[3075].end 22924.02659375
transcript.pyannote[3076].speaker SPEAKER_07
transcript.pyannote[3076].start 22924.02659375
transcript.pyannote[3076].end 22925.24159375
transcript.pyannote[3077].speaker SPEAKER_07
transcript.pyannote[3077].start 22927.26659375
transcript.pyannote[3077].end 22929.03846875
transcript.pyannote[3078].speaker SPEAKER_17
transcript.pyannote[3078].start 22944.32721875
transcript.pyannote[3078].end 22945.94721875
transcript.pyannote[3079].speaker SPEAKER_07
transcript.pyannote[3079].start 22946.25096875
transcript.pyannote[3079].end 22947.26346875
transcript.pyannote[3080].speaker SPEAKER_17
transcript.pyannote[3080].start 22958.28284375
transcript.pyannote[3080].end 22958.29971875
transcript.pyannote[3081].speaker SPEAKER_46
transcript.pyannote[3081].start 22958.29971875
transcript.pyannote[3081].end 22958.33346875
transcript.pyannote[3082].speaker SPEAKER_17
transcript.pyannote[3082].start 22958.33346875
transcript.pyannote[3082].end 22964.89784375
transcript.pyannote[3083].speaker SPEAKER_17
transcript.pyannote[3083].start 22965.43784375
transcript.pyannote[3083].end 22969.85909375
transcript.pyannote[3084].speaker SPEAKER_17
transcript.pyannote[3084].start 22970.29784375
transcript.pyannote[3084].end 22973.89221875
transcript.pyannote[3085].speaker SPEAKER_17
transcript.pyannote[3085].start 22975.19159375
transcript.pyannote[3085].end 22976.08596875
transcript.pyannote[3086].speaker SPEAKER_17
transcript.pyannote[3086].start 22976.18721875
transcript.pyannote[3086].end 22978.65096875
transcript.pyannote[3087].speaker SPEAKER_17
transcript.pyannote[3087].start 22978.71846875
transcript.pyannote[3087].end 22979.95034375
transcript.pyannote[3088].speaker SPEAKER_17
transcript.pyannote[3088].start 22980.20346875
transcript.pyannote[3088].end 22984.82721875
transcript.pyannote[3089].speaker SPEAKER_17
transcript.pyannote[3089].start 22986.53159375
transcript.pyannote[3089].end 22988.45534375
transcript.pyannote[3090].speaker SPEAKER_17
transcript.pyannote[3090].start 22988.52284375
transcript.pyannote[3090].end 22992.75846875
transcript.pyannote[3091].speaker SPEAKER_17
transcript.pyannote[3091].start 22993.45034375
transcript.pyannote[3091].end 23006.22471875
transcript.pyannote[3092].speaker SPEAKER_30
transcript.pyannote[3092].start 22995.69471875
transcript.pyannote[3092].end 22996.35284375
transcript.pyannote[3093].speaker SPEAKER_30
transcript.pyannote[3093].start 22998.56346875
transcript.pyannote[3093].end 22999.13721875
transcript.pyannote[3094].speaker SPEAKER_30
transcript.pyannote[3094].start 23000.94284375
transcript.pyannote[3094].end 23000.97659375
transcript.pyannote[3095].speaker SPEAKER_46
transcript.pyannote[3095].start 23000.97659375
transcript.pyannote[3095].end 23001.95534375
transcript.pyannote[3096].speaker SPEAKER_17
transcript.pyannote[3096].start 23006.47784375
transcript.pyannote[3096].end 23007.50721875
transcript.pyannote[3097].speaker SPEAKER_46
transcript.pyannote[3097].start 23007.50721875
transcript.pyannote[3097].end 23008.03034375
transcript.pyannote[3098].speaker SPEAKER_17
transcript.pyannote[3098].start 23008.16534375
transcript.pyannote[3098].end 23009.24534375
transcript.pyannote[3099].speaker SPEAKER_17
transcript.pyannote[3099].start 23009.76846875
transcript.pyannote[3099].end 23014.86471875
transcript.pyannote[3100].speaker SPEAKER_17
transcript.pyannote[3100].start 23015.21909375
transcript.pyannote[3100].end 23016.67034375
transcript.pyannote[3101].speaker SPEAKER_17
transcript.pyannote[3101].start 23016.92346875
transcript.pyannote[3101].end 23020.02846875
transcript.pyannote[3102].speaker SPEAKER_17
transcript.pyannote[3102].start 23020.70346875
transcript.pyannote[3102].end 23021.41221875
transcript.pyannote[3103].speaker SPEAKER_17
transcript.pyannote[3103].start 23021.98596875
transcript.pyannote[3103].end 23022.25596875
transcript.pyannote[3104].speaker SPEAKER_17
transcript.pyannote[3104].start 23023.60596875
transcript.pyannote[3104].end 23024.16284375
transcript.pyannote[3105].speaker SPEAKER_17
transcript.pyannote[3105].start 23024.63534375
transcript.pyannote[3105].end 23025.22596875
transcript.pyannote[3106].speaker SPEAKER_17
transcript.pyannote[3106].start 23025.96846875
transcript.pyannote[3106].end 23027.89221875
transcript.pyannote[3107].speaker SPEAKER_17
transcript.pyannote[3107].start 23029.19159375
transcript.pyannote[3107].end 23030.18721875
transcript.pyannote[3108].speaker SPEAKER_00
transcript.pyannote[3108].start 23030.89596875
transcript.pyannote[3108].end 23031.97596875
transcript.pyannote[3109].speaker SPEAKER_29
transcript.pyannote[3109].start 23031.97596875
transcript.pyannote[3109].end 23032.24596875
transcript.pyannote[3110].speaker SPEAKER_17
transcript.pyannote[3110].start 23032.44846875
transcript.pyannote[3110].end 23034.10221875
transcript.pyannote[3111].speaker SPEAKER_17
transcript.pyannote[3111].start 23034.92909375
transcript.pyannote[3111].end 23034.96284375
transcript.pyannote[3112].speaker SPEAKER_29
transcript.pyannote[3112].start 23034.96284375
transcript.pyannote[3112].end 23038.16909375
transcript.pyannote[3113].speaker SPEAKER_17
transcript.pyannote[3113].start 23034.97971875
transcript.pyannote[3113].end 23035.97534375
transcript.pyannote[3114].speaker SPEAKER_17
transcript.pyannote[3114].start 23038.43909375
transcript.pyannote[3114].end 23039.14784375
transcript.pyannote[3115].speaker SPEAKER_17
transcript.pyannote[3115].start 23040.95346875
transcript.pyannote[3115].end 23042.05034375
transcript.pyannote[3116].speaker SPEAKER_17
transcript.pyannote[3116].start 23043.01221875
transcript.pyannote[3116].end 23043.75471875
transcript.pyannote[3117].speaker SPEAKER_17
transcript.pyannote[3117].start 23044.05846875
transcript.pyannote[3117].end 23045.42534375
transcript.pyannote[3118].speaker SPEAKER_17
transcript.pyannote[3118].start 23045.52659375
transcript.pyannote[3118].end 23046.20159375
transcript.pyannote[3119].speaker SPEAKER_17
transcript.pyannote[3119].start 23046.79221875
transcript.pyannote[3119].end 23047.78784375
transcript.pyannote[3120].speaker SPEAKER_17
transcript.pyannote[3120].start 23048.05784375
transcript.pyannote[3120].end 23049.03659375
transcript.pyannote[3121].speaker SPEAKER_17
transcript.pyannote[3121].start 23050.63971875
transcript.pyannote[3121].end 23051.95596875
transcript.pyannote[3122].speaker SPEAKER_17
transcript.pyannote[3122].start 23053.00221875
transcript.pyannote[3122].end 23054.79096875
transcript.pyannote[3123].speaker SPEAKER_17
transcript.pyannote[3123].start 23055.48284375
transcript.pyannote[3123].end 23056.73159375
transcript.pyannote[3124].speaker SPEAKER_17
transcript.pyannote[3124].start 23057.40659375
transcript.pyannote[3124].end 23061.52409375
transcript.pyannote[3125].speaker SPEAKER_17
transcript.pyannote[3125].start 23062.84034375
transcript.pyannote[3125].end 23064.49409375
transcript.pyannote[3126].speaker SPEAKER_48
transcript.pyannote[3126].start 23064.49409375
transcript.pyannote[3126].end 23065.00034375
transcript.pyannote[3127].speaker SPEAKER_17
transcript.pyannote[3127].start 23065.00034375
transcript.pyannote[3127].end 23065.38846875
transcript.pyannote[3128].speaker SPEAKER_17
transcript.pyannote[3128].start 23065.92846875
transcript.pyannote[3128].end 23068.32471875
transcript.pyannote[3129].speaker SPEAKER_17
transcript.pyannote[3129].start 23068.88159375
transcript.pyannote[3129].end 23074.16346875
transcript.pyannote[3130].speaker SPEAKER_29
transcript.pyannote[3130].start 23072.98221875
transcript.pyannote[3130].end 23082.56721875
transcript.pyannote[3131].speaker SPEAKER_17
transcript.pyannote[3131].start 23076.30659375
transcript.pyannote[3131].end 23077.13346875
transcript.pyannote[3132].speaker SPEAKER_17
transcript.pyannote[3132].start 23077.62284375
transcript.pyannote[3132].end 23077.87596875
transcript.pyannote[3133].speaker SPEAKER_17
transcript.pyannote[3133].start 23080.81221875
transcript.pyannote[3133].end 23085.16596875
transcript.pyannote[3134].speaker SPEAKER_29
transcript.pyannote[3134].start 23084.49096875
transcript.pyannote[3134].end 23087.79846875
transcript.pyannote[3135].speaker SPEAKER_29
transcript.pyannote[3135].start 23087.81534375
transcript.pyannote[3135].end 23087.83221875
transcript.pyannote[3136].speaker SPEAKER_17
transcript.pyannote[3136].start 23087.83221875
transcript.pyannote[3136].end 23092.05096875
transcript.pyannote[3137].speaker SPEAKER_29
transcript.pyannote[3137].start 23091.79784375
transcript.pyannote[3137].end 23091.98346875
transcript.pyannote[3138].speaker SPEAKER_39
transcript.pyannote[3138].start 23092.05096875
transcript.pyannote[3138].end 23092.27034375
transcript.pyannote[3139].speaker SPEAKER_17
transcript.pyannote[3139].start 23092.27034375
transcript.pyannote[3139].end 23093.60346875
transcript.pyannote[3140].speaker SPEAKER_29
transcript.pyannote[3140].start 23092.30409375
transcript.pyannote[3140].end 23092.37159375
transcript.pyannote[3141].speaker SPEAKER_39
transcript.pyannote[3141].start 23093.97471875
transcript.pyannote[3141].end 23094.75096875
transcript.pyannote[3142].speaker SPEAKER_17
transcript.pyannote[3142].start 23094.61596875
transcript.pyannote[3142].end 23098.68284375
transcript.pyannote[3143].speaker SPEAKER_17
transcript.pyannote[3143].start 23099.18909375
transcript.pyannote[3143].end 23102.29409375
transcript.pyannote[3144].speaker SPEAKER_17
transcript.pyannote[3144].start 23102.74971875
transcript.pyannote[3144].end 23105.16284375
transcript.pyannote[3145].speaker SPEAKER_29
transcript.pyannote[3145].start 23105.16284375
transcript.pyannote[3145].end 23113.06034375
transcript.pyannote[3146].speaker SPEAKER_17
transcript.pyannote[3146].start 23109.34784375
transcript.pyannote[3146].end 23109.80346875
transcript.pyannote[3147].speaker SPEAKER_29
transcript.pyannote[3147].start 23113.34721875
transcript.pyannote[3147].end 23115.42284375
transcript.pyannote[3148].speaker SPEAKER_17
transcript.pyannote[3148].start 23115.42284375
transcript.pyannote[3148].end 23121.04221875
transcript.pyannote[3149].speaker SPEAKER_17
transcript.pyannote[3149].start 23121.63284375
transcript.pyannote[3149].end 23126.96534375
transcript.pyannote[3150].speaker SPEAKER_17
transcript.pyannote[3150].start 23127.72471875
transcript.pyannote[3150].end 23129.95221875
transcript.pyannote[3151].speaker SPEAKER_17
transcript.pyannote[3151].start 23131.35284375
transcript.pyannote[3151].end 23132.38221875
transcript.pyannote[3152].speaker SPEAKER_17
transcript.pyannote[3152].start 23132.83784375
transcript.pyannote[3152].end 23136.29721875
transcript.pyannote[3153].speaker SPEAKER_17
transcript.pyannote[3153].start 23137.37721875
transcript.pyannote[3153].end 23142.23721875
transcript.pyannote[3154].speaker SPEAKER_17
transcript.pyannote[3154].start 23142.47346875
transcript.pyannote[3154].end 23143.99221875
transcript.pyannote[3155].speaker SPEAKER_46
transcript.pyannote[3155].start 23143.99221875
transcript.pyannote[3155].end 23145.46034375
transcript.pyannote[3156].speaker SPEAKER_17
transcript.pyannote[3156].start 23144.92034375
transcript.pyannote[3156].end 23157.64409375
transcript.pyannote[3157].speaker SPEAKER_46
transcript.pyannote[3157].start 23149.35846875
transcript.pyannote[3157].end 23149.37534375
transcript.pyannote[3158].speaker SPEAKER_46
transcript.pyannote[3158].start 23149.40909375
transcript.pyannote[3158].end 23150.10096875
transcript.pyannote[3159].speaker SPEAKER_46
transcript.pyannote[3159].start 23151.23159375
transcript.pyannote[3159].end 23151.63659375
transcript.pyannote[3160].speaker SPEAKER_46
transcript.pyannote[3160].start 23154.74159375
transcript.pyannote[3160].end 23154.92721875
transcript.pyannote[3161].speaker SPEAKER_29
transcript.pyannote[3161].start 23156.88471875
transcript.pyannote[3161].end 23156.90159375
transcript.pyannote[3162].speaker SPEAKER_29
transcript.pyannote[3162].start 23157.00284375
transcript.pyannote[3162].end 23157.25596875
transcript.pyannote[3163].speaker SPEAKER_29
transcript.pyannote[3163].start 23157.64409375
transcript.pyannote[3163].end 23157.84659375
transcript.pyannote[3164].speaker SPEAKER_17
transcript.pyannote[3164].start 23157.84659375
transcript.pyannote[3164].end 23157.94784375
transcript.pyannote[3165].speaker SPEAKER_29
transcript.pyannote[3165].start 23157.94784375
transcript.pyannote[3165].end 23158.09971875
transcript.pyannote[3166].speaker SPEAKER_29
transcript.pyannote[3166].start 23158.25159375
transcript.pyannote[3166].end 23161.72784375
transcript.pyannote[3167].speaker SPEAKER_17
transcript.pyannote[3167].start 23161.17096875
transcript.pyannote[3167].end 23163.88784375
transcript.pyannote[3168].speaker SPEAKER_17
transcript.pyannote[3168].start 23165.06909375
transcript.pyannote[3168].end 23171.34659375
transcript.pyannote[3169].speaker SPEAKER_46
transcript.pyannote[3169].start 23165.71034375
transcript.pyannote[3169].end 23167.29659375
transcript.pyannote[3170].speaker SPEAKER_17
transcript.pyannote[3170].start 23172.08909375
transcript.pyannote[3170].end 23173.45596875
transcript.pyannote[3171].speaker SPEAKER_46
transcript.pyannote[3171].start 23173.45596875
transcript.pyannote[3171].end 23173.81034375
transcript.pyannote[3172].speaker SPEAKER_17
transcript.pyannote[3172].start 23173.81034375
transcript.pyannote[3172].end 23178.33284375
transcript.pyannote[3173].speaker SPEAKER_29
transcript.pyannote[3173].start 23178.09659375
transcript.pyannote[3173].end 23187.24284375
transcript.pyannote[3174].speaker SPEAKER_17
transcript.pyannote[3174].start 23187.59721875
transcript.pyannote[3174].end 23194.68471875
transcript.pyannote[3175].speaker SPEAKER_17
transcript.pyannote[3175].start 23195.51159375
transcript.pyannote[3175].end 23206.02471875
transcript.pyannote[3176].speaker SPEAKER_46
transcript.pyannote[3176].start 23197.36784375
transcript.pyannote[3176].end 23199.03846875
transcript.pyannote[3177].speaker SPEAKER_29
transcript.pyannote[3177].start 23199.03846875
transcript.pyannote[3177].end 23200.45596875
transcript.pyannote[3178].speaker SPEAKER_46
transcript.pyannote[3178].start 23200.45596875
transcript.pyannote[3178].end 23200.48971875
transcript.pyannote[3179].speaker SPEAKER_29
transcript.pyannote[3179].start 23200.48971875
transcript.pyannote[3179].end 23200.52346875
transcript.pyannote[3180].speaker SPEAKER_00
transcript.pyannote[3180].start 23200.52346875
transcript.pyannote[3180].end 23200.54034375
transcript.pyannote[3181].speaker SPEAKER_29
transcript.pyannote[3181].start 23201.48534375
transcript.pyannote[3181].end 23201.73846875
transcript.pyannote[3182].speaker SPEAKER_29
transcript.pyannote[3182].start 23206.02471875
transcript.pyannote[3182].end 23218.61346875
transcript.pyannote[3183].speaker SPEAKER_17
transcript.pyannote[3183].start 23218.61346875
transcript.pyannote[3183].end 23220.62159375
transcript.pyannote[3184].speaker SPEAKER_29
transcript.pyannote[3184].start 23220.62159375
transcript.pyannote[3184].end 23220.97596875
transcript.pyannote[3185].speaker SPEAKER_17
transcript.pyannote[3185].start 23220.97596875
transcript.pyannote[3185].end 23223.72659375
transcript.pyannote[3186].speaker SPEAKER_17
transcript.pyannote[3186].start 23224.41846875
transcript.pyannote[3186].end 23232.83909375
transcript.pyannote[3187].speaker SPEAKER_17
transcript.pyannote[3187].start 23233.19346875
transcript.pyannote[3187].end 23234.13846875
transcript.pyannote[3188].speaker SPEAKER_17
transcript.pyannote[3188].start 23234.94846875
transcript.pyannote[3188].end 23235.94409375
transcript.pyannote[3189].speaker SPEAKER_29
transcript.pyannote[3189].start 23235.94409375
transcript.pyannote[3189].end 23240.58471875
transcript.pyannote[3190].speaker SPEAKER_17
transcript.pyannote[3190].start 23236.70346875
transcript.pyannote[3190].end 23237.49659375
transcript.pyannote[3191].speaker SPEAKER_17
transcript.pyannote[3191].start 23238.49221875
transcript.pyannote[3191].end 23238.81284375
transcript.pyannote[3192].speaker SPEAKER_17
transcript.pyannote[3192].start 23240.58471875
transcript.pyannote[3192].end 23240.68596875
transcript.pyannote[3193].speaker SPEAKER_29
transcript.pyannote[3193].start 23240.68596875
transcript.pyannote[3193].end 23241.36096875
transcript.pyannote[3194].speaker SPEAKER_17
transcript.pyannote[3194].start 23240.88846875
transcript.pyannote[3194].end 23245.09034375
transcript.pyannote[3195].speaker SPEAKER_29
transcript.pyannote[3195].start 23243.13284375
transcript.pyannote[3195].end 23243.40284375
transcript.pyannote[3196].speaker SPEAKER_29
transcript.pyannote[3196].start 23244.48284375
transcript.pyannote[3196].end 23251.35096875
transcript.pyannote[3197].speaker SPEAKER_29
transcript.pyannote[3197].start 23251.78971875
transcript.pyannote[3197].end 23254.87784375
transcript.pyannote[3198].speaker SPEAKER_17
transcript.pyannote[3198].start 23254.33784375
transcript.pyannote[3198].end 23256.43034375
transcript.pyannote[3199].speaker SPEAKER_17
transcript.pyannote[3199].start 23256.51471875
transcript.pyannote[3199].end 23264.34471875
transcript.pyannote[3200].speaker SPEAKER_29
transcript.pyannote[3200].start 23257.13909375
transcript.pyannote[3200].end 23257.52721875
transcript.pyannote[3201].speaker SPEAKER_46
transcript.pyannote[3201].start 23257.52721875
transcript.pyannote[3201].end 23257.54409375
transcript.pyannote[3202].speaker SPEAKER_29
transcript.pyannote[3202].start 23260.09221875
transcript.pyannote[3202].end 23260.12596875
transcript.pyannote[3203].speaker SPEAKER_46
transcript.pyannote[3203].start 23260.12596875
transcript.pyannote[3203].end 23262.20159375
transcript.pyannote[3204].speaker SPEAKER_17
transcript.pyannote[3204].start 23264.76659375
transcript.pyannote[3204].end 23272.98471875
transcript.pyannote[3205].speaker SPEAKER_46
transcript.pyannote[3205].start 23272.98471875
transcript.pyannote[3205].end 23273.03534375
transcript.pyannote[3206].speaker SPEAKER_29
transcript.pyannote[3206].start 23273.03534375
transcript.pyannote[3206].end 23273.32221875
transcript.pyannote[3207].speaker SPEAKER_17
transcript.pyannote[3207].start 23273.32221875
transcript.pyannote[3207].end 23273.44034375
transcript.pyannote[3208].speaker SPEAKER_29
transcript.pyannote[3208].start 23273.35596875
transcript.pyannote[3208].end 23273.42346875
transcript.pyannote[3209].speaker SPEAKER_29
transcript.pyannote[3209].start 23273.44034375
transcript.pyannote[3209].end 23273.67659375
transcript.pyannote[3210].speaker SPEAKER_17
transcript.pyannote[3210].start 23273.67659375
transcript.pyannote[3210].end 23276.95034375
transcript.pyannote[3211].speaker SPEAKER_29
transcript.pyannote[3211].start 23273.69346875
transcript.pyannote[3211].end 23273.89596875
transcript.pyannote[3212].speaker SPEAKER_17
transcript.pyannote[3212].start 23277.35534375
transcript.pyannote[3212].end 23279.38034375
transcript.pyannote[3213].speaker SPEAKER_29
transcript.pyannote[3213].start 23279.38034375
transcript.pyannote[3213].end 23281.96221875
transcript.pyannote[3214].speaker SPEAKER_17
transcript.pyannote[3214].start 23279.70096875
transcript.pyannote[3214].end 23283.26159375
transcript.pyannote[3215].speaker SPEAKER_22
transcript.pyannote[3215].start 23281.96221875
transcript.pyannote[3215].end 23282.02971875
transcript.pyannote[3216].speaker SPEAKER_17
transcript.pyannote[3216].start 23283.68346875
transcript.pyannote[3216].end 23287.00784375
transcript.pyannote[3217].speaker SPEAKER_17
transcript.pyannote[3217].start 23287.63221875
transcript.pyannote[3217].end 23288.15534375
transcript.pyannote[3218].speaker SPEAKER_17
transcript.pyannote[3218].start 23289.67409375
transcript.pyannote[3218].end 23292.69471875
transcript.pyannote[3219].speaker SPEAKER_17
transcript.pyannote[3219].start 23293.75784375
transcript.pyannote[3219].end 23296.39034375
transcript.pyannote[3220].speaker SPEAKER_17
transcript.pyannote[3220].start 23296.77846875
transcript.pyannote[3220].end 23300.47409375
transcript.pyannote[3221].speaker SPEAKER_17
transcript.pyannote[3221].start 23300.81159375
transcript.pyannote[3221].end 23301.16596875
transcript.pyannote[3222].speaker SPEAKER_17
transcript.pyannote[3222].start 23302.29659375
transcript.pyannote[3222].end 23303.24159375
transcript.pyannote[3223].speaker SPEAKER_17
transcript.pyannote[3223].start 23303.73096875
transcript.pyannote[3223].end 23308.10159375
transcript.pyannote[3224].speaker SPEAKER_17
transcript.pyannote[3224].start 23308.37159375
transcript.pyannote[3224].end 23310.59909375
transcript.pyannote[3225].speaker SPEAKER_17
transcript.pyannote[3225].start 23310.70034375
transcript.pyannote[3225].end 23317.58534375
transcript.pyannote[3226].speaker SPEAKER_29
transcript.pyannote[3226].start 23317.26471875
transcript.pyannote[3226].end 23317.55159375
transcript.pyannote[3227].speaker SPEAKER_29
transcript.pyannote[3227].start 23317.58534375
transcript.pyannote[3227].end 23317.97346875
transcript.pyannote[3228].speaker SPEAKER_17
transcript.pyannote[3228].start 23317.97346875
transcript.pyannote[3228].end 23318.63159375
transcript.pyannote[3229].speaker SPEAKER_17
transcript.pyannote[3229].start 23319.03659375
transcript.pyannote[3229].end 23322.39471875
transcript.pyannote[3230].speaker SPEAKER_29
transcript.pyannote[3230].start 23322.39471875
transcript.pyannote[3230].end 23322.85034375
transcript.pyannote[3231].speaker SPEAKER_17
transcript.pyannote[3231].start 23322.58034375
transcript.pyannote[3231].end 23325.75284375
transcript.pyannote[3232].speaker SPEAKER_29
transcript.pyannote[3232].start 23325.66846875
transcript.pyannote[3232].end 23325.68534375
transcript.pyannote[3233].speaker SPEAKER_29
transcript.pyannote[3233].start 23325.75284375
transcript.pyannote[3233].end 23327.35596875
transcript.pyannote[3234].speaker SPEAKER_17
transcript.pyannote[3234].start 23327.35596875
transcript.pyannote[3234].end 23335.18596875
transcript.pyannote[3235].speaker SPEAKER_29
transcript.pyannote[3235].start 23327.38971875
transcript.pyannote[3235].end 23328.21659375
transcript.pyannote[3236].speaker SPEAKER_17
transcript.pyannote[3236].start 23335.59096875
transcript.pyannote[3236].end 23342.86409375
transcript.pyannote[3237].speaker SPEAKER_29
transcript.pyannote[3237].start 23338.42596875
transcript.pyannote[3237].end 23340.78846875
transcript.pyannote[3238].speaker SPEAKER_17
transcript.pyannote[3238].start 23343.47159375
transcript.pyannote[3238].end 23343.82596875
transcript.pyannote[3239].speaker SPEAKER_07
transcript.pyannote[3239].start 23343.82596875
transcript.pyannote[3239].end 23346.01971875
transcript.pyannote[3240].speaker SPEAKER_17
transcript.pyannote[3240].start 23343.84284375
transcript.pyannote[3240].end 23343.85971875
transcript.pyannote[3241].speaker SPEAKER_07
transcript.pyannote[3241].start 23353.79909375
transcript.pyannote[3241].end 23355.92534375
transcript.pyannote[3242].speaker SPEAKER_13
transcript.pyannote[3242].start 23364.21096875
transcript.pyannote[3242].end 23365.78034375
transcript.pyannote[3243].speaker SPEAKER_07
transcript.pyannote[3243].start 23366.30346875
transcript.pyannote[3243].end 23366.84346875
transcript.pyannote[3244].speaker SPEAKER_13
transcript.pyannote[3244].start 23366.84346875
transcript.pyannote[3244].end 23366.89409375
transcript.pyannote[3245].speaker SPEAKER_07
transcript.pyannote[3245].start 23366.89409375
transcript.pyannote[3245].end 23366.91096875
transcript.pyannote[3246].speaker SPEAKER_13
transcript.pyannote[3246].start 23366.91096875
transcript.pyannote[3246].end 23366.94471875
transcript.pyannote[3247].speaker SPEAKER_07
transcript.pyannote[3247].start 23366.94471875
transcript.pyannote[3247].end 23366.97846875
transcript.pyannote[3248].speaker SPEAKER_13
transcript.pyannote[3248].start 23366.97846875
transcript.pyannote[3248].end 23367.02909375
transcript.pyannote[3249].speaker SPEAKER_07
transcript.pyannote[3249].start 23367.02909375
transcript.pyannote[3249].end 23367.19784375
transcript.pyannote[3250].speaker SPEAKER_13
transcript.pyannote[3250].start 23367.19784375
transcript.pyannote[3250].end 23367.23159375
transcript.pyannote[3251].speaker SPEAKER_13
transcript.pyannote[3251].start 23379.14534375
transcript.pyannote[3251].end 23387.04284375
transcript.pyannote[3252].speaker SPEAKER_00
transcript.pyannote[3252].start 23379.66846875
transcript.pyannote[3252].end 23379.68534375
transcript.pyannote[3253].speaker SPEAKER_46
transcript.pyannote[3253].start 23379.68534375
transcript.pyannote[3253].end 23380.91721875
transcript.pyannote[3254].speaker SPEAKER_00
transcript.pyannote[3254].start 23380.91721875
transcript.pyannote[3254].end 23380.93409375
transcript.pyannote[3255].speaker SPEAKER_13
transcript.pyannote[3255].start 23387.22846875
transcript.pyannote[3255].end 23389.28721875
transcript.pyannote[3256].speaker SPEAKER_13
transcript.pyannote[3256].start 23389.52346875
transcript.pyannote[3256].end 23395.37909375
transcript.pyannote[3257].speaker SPEAKER_00
transcript.pyannote[3257].start 23392.67909375
transcript.pyannote[3257].end 23392.84784375
transcript.pyannote[3258].speaker SPEAKER_13
transcript.pyannote[3258].start 23396.57721875
transcript.pyannote[3258].end 23397.70784375
transcript.pyannote[3259].speaker SPEAKER_13
transcript.pyannote[3259].start 23398.60221875
transcript.pyannote[3259].end 23402.97284375
transcript.pyannote[3260].speaker SPEAKER_13
transcript.pyannote[3260].start 23403.52971875
transcript.pyannote[3260].end 23405.35221875
transcript.pyannote[3261].speaker SPEAKER_13
transcript.pyannote[3261].start 23405.68971875
transcript.pyannote[3261].end 23408.69346875
transcript.pyannote[3262].speaker SPEAKER_13
transcript.pyannote[3262].start 23408.91284375
transcript.pyannote[3262].end 23410.54971875
transcript.pyannote[3263].speaker SPEAKER_13
transcript.pyannote[3263].start 23411.14034375
transcript.pyannote[3263].end 23418.07596875
transcript.pyannote[3264].speaker SPEAKER_13
transcript.pyannote[3264].start 23419.05471875
transcript.pyannote[3264].end 23434.56284375
transcript.pyannote[3265].speaker SPEAKER_13
transcript.pyannote[3265].start 23434.64721875
transcript.pyannote[3265].end 23438.54534375
transcript.pyannote[3266].speaker SPEAKER_46
transcript.pyannote[3266].start 23439.03471875
transcript.pyannote[3266].end 23439.23721875
transcript.pyannote[3267].speaker SPEAKER_13
transcript.pyannote[3267].start 23439.23721875
transcript.pyannote[3267].end 23445.64971875
transcript.pyannote[3268].speaker SPEAKER_13
transcript.pyannote[3268].start 23445.73409375
transcript.pyannote[3268].end 23449.90221875
transcript.pyannote[3269].speaker SPEAKER_13
transcript.pyannote[3269].start 23450.10471875
transcript.pyannote[3269].end 23453.91846875
transcript.pyannote[3270].speaker SPEAKER_29
transcript.pyannote[3270].start 23454.54284375
transcript.pyannote[3270].end 23461.63034375
transcript.pyannote[3271].speaker SPEAKER_13
transcript.pyannote[3271].start 23461.42784375
transcript.pyannote[3271].end 23465.15721875
transcript.pyannote[3272].speaker SPEAKER_29
transcript.pyannote[3272].start 23461.74846875
transcript.pyannote[3272].end 23462.40659375
transcript.pyannote[3273].speaker SPEAKER_29
transcript.pyannote[3273].start 23465.15721875
transcript.pyannote[3273].end 23465.25846875
transcript.pyannote[3274].speaker SPEAKER_13
transcript.pyannote[3274].start 23465.25846875
transcript.pyannote[3274].end 23486.30159375
transcript.pyannote[3275].speaker SPEAKER_29
transcript.pyannote[3275].start 23467.62096875
transcript.pyannote[3275].end 23468.05971875
transcript.pyannote[3276].speaker SPEAKER_39
transcript.pyannote[3276].start 23481.54284375
transcript.pyannote[3276].end 23482.50471875
transcript.pyannote[3277].speaker SPEAKER_13
transcript.pyannote[3277].start 23486.80784375
transcript.pyannote[3277].end 23501.79284375
transcript.pyannote[3278].speaker SPEAKER_13
transcript.pyannote[3278].start 23502.18096875
transcript.pyannote[3278].end 23530.71659375
transcript.pyannote[3279].speaker SPEAKER_29
transcript.pyannote[3279].start 23530.71659375
transcript.pyannote[3279].end 23546.66346875
transcript.pyannote[3280].speaker SPEAKER_13
transcript.pyannote[3280].start 23546.24159375
transcript.pyannote[3280].end 23557.86846875
transcript.pyannote[3281].speaker SPEAKER_39
transcript.pyannote[3281].start 23557.15971875
transcript.pyannote[3281].end 23557.59846875
transcript.pyannote[3282].speaker SPEAKER_39
transcript.pyannote[3282].start 23557.86846875
transcript.pyannote[3282].end 23558.77971875
transcript.pyannote[3283].speaker SPEAKER_13
transcript.pyannote[3283].start 23558.07096875
transcript.pyannote[3283].end 23558.18909375
transcript.pyannote[3284].speaker SPEAKER_13
transcript.pyannote[3284].start 23558.20596875
transcript.pyannote[3284].end 23558.25659375
transcript.pyannote[3285].speaker SPEAKER_13
transcript.pyannote[3285].start 23558.62784375
transcript.pyannote[3285].end 23581.94909375
transcript.pyannote[3286].speaker SPEAKER_39
transcript.pyannote[3286].start 23563.48784375
transcript.pyannote[3286].end 23563.94346875
transcript.pyannote[3287].speaker SPEAKER_13
transcript.pyannote[3287].start 23582.16846875
transcript.pyannote[3287].end 23584.36221875
transcript.pyannote[3288].speaker SPEAKER_46
transcript.pyannote[3288].start 23582.96159375
transcript.pyannote[3288].end 23582.97846875
transcript.pyannote[3289].speaker SPEAKER_46
transcript.pyannote[3289].start 23583.02909375
transcript.pyannote[3289].end 23583.11346875
transcript.pyannote[3290].speaker SPEAKER_13
transcript.pyannote[3290].start 23584.93596875
transcript.pyannote[3290].end 23603.61659375
transcript.pyannote[3291].speaker SPEAKER_39
transcript.pyannote[3291].start 23600.22471875
transcript.pyannote[3291].end 23602.03034375
transcript.pyannote[3292].speaker SPEAKER_39
transcript.pyannote[3292].start 23603.46471875
transcript.pyannote[3292].end 23603.75159375
transcript.pyannote[3293].speaker SPEAKER_13
transcript.pyannote[3293].start 23603.75159375
transcript.pyannote[3293].end 23621.06534375
transcript.pyannote[3294].speaker SPEAKER_39
transcript.pyannote[3294].start 23608.24034375
transcript.pyannote[3294].end 23608.54409375
transcript.pyannote[3295].speaker SPEAKER_46
transcript.pyannote[3295].start 23608.54409375
transcript.pyannote[3295].end 23608.64534375
transcript.pyannote[3296].speaker SPEAKER_13
transcript.pyannote[3296].start 23621.52096875
transcript.pyannote[3296].end 23624.62596875
transcript.pyannote[3297].speaker SPEAKER_13
transcript.pyannote[3297].start 23624.92971875
transcript.pyannote[3297].end 23626.70159375
transcript.pyannote[3298].speaker SPEAKER_13
transcript.pyannote[3298].start 23626.97159375
transcript.pyannote[3298].end 23627.10659375
transcript.pyannote[3299].speaker SPEAKER_13
transcript.pyannote[3299].start 23627.47784375
transcript.pyannote[3299].end 23630.71784375
transcript.pyannote[3300].speaker SPEAKER_13
transcript.pyannote[3300].start 23630.80221875
transcript.pyannote[3300].end 23633.56971875
transcript.pyannote[3301].speaker SPEAKER_13
transcript.pyannote[3301].start 23634.10971875
transcript.pyannote[3301].end 23635.05471875
transcript.pyannote[3302].speaker SPEAKER_29
transcript.pyannote[3302].start 23635.78034375
transcript.pyannote[3302].end 23644.26846875
transcript.pyannote[3303].speaker SPEAKER_13
transcript.pyannote[3303].start 23644.26846875
transcript.pyannote[3303].end 23644.28534375
transcript.pyannote[3304].speaker SPEAKER_13
transcript.pyannote[3304].start 23644.42034375
transcript.pyannote[3304].end 23644.74096875
transcript.pyannote[3305].speaker SPEAKER_13
transcript.pyannote[3305].start 23644.97721875
transcript.pyannote[3305].end 23649.76971875
transcript.pyannote[3306].speaker SPEAKER_13
transcript.pyannote[3306].start 23650.10721875
transcript.pyannote[3306].end 23651.25471875
transcript.pyannote[3307].speaker SPEAKER_13
transcript.pyannote[3307].start 23651.81159375
transcript.pyannote[3307].end 23671.99409375
transcript.pyannote[3308].speaker SPEAKER_13
transcript.pyannote[3308].start 23672.26409375
transcript.pyannote[3308].end 23686.08471875
transcript.pyannote[3309].speaker SPEAKER_46
transcript.pyannote[3309].start 23678.67659375
transcript.pyannote[3309].end 23679.33471875
transcript.pyannote[3310].speaker SPEAKER_02
transcript.pyannote[3310].start 23679.33471875
transcript.pyannote[3310].end 23679.38534375
transcript.pyannote[3311].speaker SPEAKER_13
transcript.pyannote[3311].start 23686.52346875
transcript.pyannote[3311].end 23686.54034375
transcript.pyannote[3312].speaker SPEAKER_29
transcript.pyannote[3312].start 23686.54034375
transcript.pyannote[3312].end 23694.04971875
transcript.pyannote[3313].speaker SPEAKER_13
transcript.pyannote[3313].start 23694.04971875
transcript.pyannote[3313].end 23718.46784375
transcript.pyannote[3314].speaker SPEAKER_29
transcript.pyannote[3314].start 23709.40596875
transcript.pyannote[3314].end 23709.60846875
transcript.pyannote[3315].speaker SPEAKER_29
transcript.pyannote[3315].start 23711.44784375
transcript.pyannote[3315].end 23712.05534375
transcript.pyannote[3316].speaker SPEAKER_29
transcript.pyannote[3316].start 23713.82721875
transcript.pyannote[3316].end 23714.87346875
transcript.pyannote[3317].speaker SPEAKER_07
transcript.pyannote[3317].start 23716.47659375
transcript.pyannote[3317].end 23716.52721875
transcript.pyannote[3318].speaker SPEAKER_07
transcript.pyannote[3318].start 23721.16784375
transcript.pyannote[3318].end 23722.60221875
transcript.pyannote[3319].speaker SPEAKER_07
transcript.pyannote[3319].start 23723.98596875
transcript.pyannote[3319].end 23725.70721875
transcript.pyannote[3320].speaker SPEAKER_25
transcript.pyannote[3320].start 23733.63846875
transcript.pyannote[3320].end 23734.73534375
transcript.pyannote[3321].speaker SPEAKER_07
transcript.pyannote[3321].start 23734.93784375
transcript.pyannote[3321].end 23736.08534375
transcript.pyannote[3322].speaker SPEAKER_25
transcript.pyannote[3322].start 23743.71284375
transcript.pyannote[3322].end 23756.04846875
transcript.pyannote[3323].speaker SPEAKER_25
transcript.pyannote[3323].start 23756.06534375
transcript.pyannote[3323].end 23760.01409375
transcript.pyannote[3324].speaker SPEAKER_39
transcript.pyannote[3324].start 23760.16596875
transcript.pyannote[3324].end 23761.21221875
transcript.pyannote[3325].speaker SPEAKER_25
transcript.pyannote[3325].start 23760.89159375
transcript.pyannote[3325].end 23761.14471875
transcript.pyannote[3326].speaker SPEAKER_25
transcript.pyannote[3326].start 23761.21221875
transcript.pyannote[3326].end 23761.22909375
transcript.pyannote[3327].speaker SPEAKER_39
transcript.pyannote[3327].start 23761.22909375
transcript.pyannote[3327].end 23761.24596875
transcript.pyannote[3328].speaker SPEAKER_25
transcript.pyannote[3328].start 23761.24596875
transcript.pyannote[3328].end 23800.91909375
transcript.pyannote[3329].speaker SPEAKER_25
transcript.pyannote[3329].start 23801.91471875
transcript.pyannote[3329].end 23809.96409375
transcript.pyannote[3330].speaker SPEAKER_25
transcript.pyannote[3330].start 23810.20034375
transcript.pyannote[3330].end 23813.52471875
transcript.pyannote[3331].speaker SPEAKER_29
transcript.pyannote[3331].start 23812.56284375
transcript.pyannote[3331].end 23813.10284375
transcript.pyannote[3332].speaker SPEAKER_25
transcript.pyannote[3332].start 23813.64284375
transcript.pyannote[3332].end 23823.90284375
transcript.pyannote[3333].speaker SPEAKER_29
transcript.pyannote[3333].start 23819.14409375
transcript.pyannote[3333].end 23819.49846875
transcript.pyannote[3334].speaker SPEAKER_29
transcript.pyannote[3334].start 23820.42659375
transcript.pyannote[3334].end 23820.61221875
transcript.pyannote[3335].speaker SPEAKER_25
transcript.pyannote[3335].start 23823.95346875
transcript.pyannote[3335].end 23825.47221875
transcript.pyannote[3336].speaker SPEAKER_25
transcript.pyannote[3336].start 23825.72534375
transcript.pyannote[3336].end 23827.66596875
transcript.pyannote[3337].speaker SPEAKER_25
transcript.pyannote[3337].start 23827.96971875
transcript.pyannote[3337].end 23835.91784375
transcript.pyannote[3338].speaker SPEAKER_46
transcript.pyannote[3338].start 23836.82909375
transcript.pyannote[3338].end 23837.06534375
transcript.pyannote[3339].speaker SPEAKER_24
transcript.pyannote[3339].start 23837.06534375
transcript.pyannote[3339].end 23837.09909375
transcript.pyannote[3340].speaker SPEAKER_24
transcript.pyannote[3340].start 23837.28471875
transcript.pyannote[3340].end 23842.80284375
transcript.pyannote[3341].speaker SPEAKER_25
transcript.pyannote[3341].start 23842.92096875
transcript.pyannote[3341].end 23861.02784375
transcript.pyannote[3342].speaker SPEAKER_24
transcript.pyannote[3342].start 23845.60409375
transcript.pyannote[3342].end 23846.80221875
transcript.pyannote[3343].speaker SPEAKER_24
transcript.pyannote[3343].start 23846.81909375
transcript.pyannote[3343].end 23846.85284375
transcript.pyannote[3344].speaker SPEAKER_24
transcript.pyannote[3344].start 23846.88659375
transcript.pyannote[3344].end 23846.95409375
transcript.pyannote[3345].speaker SPEAKER_24
transcript.pyannote[3345].start 23846.97096875
transcript.pyannote[3345].end 23847.02159375
transcript.pyannote[3346].speaker SPEAKER_25
transcript.pyannote[3346].start 23863.28909375
transcript.pyannote[3346].end 23881.42971875
transcript.pyannote[3347].speaker SPEAKER_24
transcript.pyannote[3347].start 23882.47596875
transcript.pyannote[3347].end 23887.04909375
transcript.pyannote[3348].speaker SPEAKER_25
transcript.pyannote[3348].start 23887.04909375
transcript.pyannote[3348].end 23900.16096875
transcript.pyannote[3349].speaker SPEAKER_25
transcript.pyannote[3349].start 23900.22846875
transcript.pyannote[3349].end 23905.24034375
transcript.pyannote[3350].speaker SPEAKER_29
transcript.pyannote[3350].start 23905.89846875
transcript.pyannote[3350].end 23914.67346875
transcript.pyannote[3351].speaker SPEAKER_25
transcript.pyannote[3351].start 23914.67346875
transcript.pyannote[3351].end 23920.84971875
transcript.pyannote[3352].speaker SPEAKER_25
transcript.pyannote[3352].start 23922.65534375
transcript.pyannote[3352].end 23926.97534375
transcript.pyannote[3353].speaker SPEAKER_24
transcript.pyannote[3353].start 23929.05096875
transcript.pyannote[3353].end 23932.22346875
transcript.pyannote[3354].speaker SPEAKER_25
transcript.pyannote[3354].start 23930.14784375
transcript.pyannote[3354].end 23936.08784375
transcript.pyannote[3355].speaker SPEAKER_24
transcript.pyannote[3355].start 23933.33721875
transcript.pyannote[3355].end 23933.38784375
transcript.pyannote[3356].speaker SPEAKER_24
transcript.pyannote[3356].start 23933.47221875
transcript.pyannote[3356].end 23935.88534375
transcript.pyannote[3357].speaker SPEAKER_25
transcript.pyannote[3357].start 23936.52659375
transcript.pyannote[3357].end 23949.92534375
transcript.pyannote[3358].speaker SPEAKER_25
transcript.pyannote[3358].start 23951.35971875
transcript.pyannote[3358].end 23952.06846875
transcript.pyannote[3359].speaker SPEAKER_24
transcript.pyannote[3359].start 23952.20346875
transcript.pyannote[3359].end 23954.24534375
transcript.pyannote[3360].speaker SPEAKER_25
transcript.pyannote[3360].start 23953.82346875
transcript.pyannote[3360].end 23956.25346875
transcript.pyannote[3361].speaker SPEAKER_24
transcript.pyannote[3361].start 23956.69221875
transcript.pyannote[3361].end 23960.77596875
transcript.pyannote[3362].speaker SPEAKER_25
transcript.pyannote[3362].start 23960.40471875
transcript.pyannote[3362].end 23964.13409375
transcript.pyannote[3363].speaker SPEAKER_24
transcript.pyannote[3363].start 23961.51846875
transcript.pyannote[3363].end 23962.56471875
transcript.pyannote[3364].speaker SPEAKER_24
transcript.pyannote[3364].start 23964.18471875
transcript.pyannote[3364].end 23966.61471875
transcript.pyannote[3365].speaker SPEAKER_25
transcript.pyannote[3365].start 23965.45034375
transcript.pyannote[3365].end 23966.74971875
transcript.pyannote[3366].speaker SPEAKER_25
transcript.pyannote[3366].start 23968.06596875
transcript.pyannote[3366].end 23968.33596875
transcript.pyannote[3367].speaker SPEAKER_25
transcript.pyannote[3367].start 23968.96034375
transcript.pyannote[3367].end 23971.17096875
transcript.pyannote[3368].speaker SPEAKER_24
transcript.pyannote[3368].start 23969.92221875
transcript.pyannote[3368].end 23977.26284375
transcript.pyannote[3369].speaker SPEAKER_25
transcript.pyannote[3369].start 23978.03909375
transcript.pyannote[3369].end 23985.04221875
transcript.pyannote[3370].speaker SPEAKER_25
transcript.pyannote[3370].start 23985.39659375
transcript.pyannote[3370].end 23988.87284375
transcript.pyannote[3371].speaker SPEAKER_29
transcript.pyannote[3371].start 23988.18096875
transcript.pyannote[3371].end 23997.73221875
transcript.pyannote[3372].speaker SPEAKER_24
transcript.pyannote[3372].start 23997.56346875
transcript.pyannote[3372].end 23997.79971875
transcript.pyannote[3373].speaker SPEAKER_24
transcript.pyannote[3373].start 23997.96846875
transcript.pyannote[3373].end 24008.66721875
transcript.pyannote[3374].speaker SPEAKER_25
transcript.pyannote[3374].start 24009.02159375
transcript.pyannote[3374].end 24043.00784375
transcript.pyannote[3375].speaker SPEAKER_29
transcript.pyannote[3375].start 24043.12596875
transcript.pyannote[3375].end 24069.34971875
transcript.pyannote[3376].speaker SPEAKER_25
transcript.pyannote[3376].start 24056.32221875
transcript.pyannote[3376].end 24057.95909375
transcript.pyannote[3377].speaker SPEAKER_25
transcript.pyannote[3377].start 24058.97159375
transcript.pyannote[3377].end 24059.32596875
transcript.pyannote[3378].speaker SPEAKER_25
transcript.pyannote[3378].start 24066.97034375
transcript.pyannote[3378].end 24076.92659375
transcript.pyannote[3379].speaker SPEAKER_07
transcript.pyannote[3379].start 24078.58034375
transcript.pyannote[3379].end 24079.99784375
transcript.pyannote[3380].speaker SPEAKER_07
transcript.pyannote[3380].start 24082.42784375
transcript.pyannote[3380].end 24084.21659375
transcript.pyannote[3381].speaker SPEAKER_18
transcript.pyannote[3381].start 24095.45534375
transcript.pyannote[3381].end 24097.24409375
transcript.pyannote[3382].speaker SPEAKER_07
transcript.pyannote[3382].start 24097.68284375
transcript.pyannote[3382].end 24098.56034375
transcript.pyannote[3383].speaker SPEAKER_18
transcript.pyannote[3383].start 24104.02784375
transcript.pyannote[3383].end 24120.95346875
transcript.pyannote[3384].speaker SPEAKER_18
transcript.pyannote[3384].start 24121.52721875
transcript.pyannote[3384].end 24129.94784375
transcript.pyannote[3385].speaker SPEAKER_29
transcript.pyannote[3385].start 24127.23096875
transcript.pyannote[3385].end 24131.02784375
transcript.pyannote[3386].speaker SPEAKER_18
transcript.pyannote[3386].start 24131.02784375
transcript.pyannote[3386].end 24131.90534375
transcript.pyannote[3387].speaker SPEAKER_29
transcript.pyannote[3387].start 24131.90534375
transcript.pyannote[3387].end 24131.97284375
transcript.pyannote[3388].speaker SPEAKER_18
transcript.pyannote[3388].start 24131.97284375
transcript.pyannote[3388].end 24154.58534375
transcript.pyannote[3389].speaker SPEAKER_29
transcript.pyannote[3389].start 24132.10784375
transcript.pyannote[3389].end 24134.94284375
transcript.pyannote[3390].speaker SPEAKER_29
transcript.pyannote[3390].start 24137.42346875
transcript.pyannote[3390].end 24137.45721875
transcript.pyannote[3391].speaker SPEAKER_29
transcript.pyannote[3391].start 24137.47409375
transcript.pyannote[3391].end 24137.50784375
transcript.pyannote[3392].speaker SPEAKER_18
transcript.pyannote[3392].start 24155.49659375
transcript.pyannote[3392].end 24158.66909375
transcript.pyannote[3393].speaker SPEAKER_29
transcript.pyannote[3393].start 24158.66909375
transcript.pyannote[3393].end 24161.36909375
transcript.pyannote[3394].speaker SPEAKER_18
transcript.pyannote[3394].start 24160.01909375
transcript.pyannote[3394].end 24163.12409375
transcript.pyannote[3395].speaker SPEAKER_18
transcript.pyannote[3395].start 24163.24221875
transcript.pyannote[3395].end 24163.54596875
transcript.pyannote[3396].speaker SPEAKER_46
transcript.pyannote[3396].start 24163.54596875
transcript.pyannote[3396].end 24165.48659375
transcript.pyannote[3397].speaker SPEAKER_18
transcript.pyannote[3397].start 24163.56284375
transcript.pyannote[3397].end 24164.50784375
transcript.pyannote[3398].speaker SPEAKER_18
transcript.pyannote[3398].start 24165.92534375
transcript.pyannote[3398].end 24170.95409375
transcript.pyannote[3399].speaker SPEAKER_18
transcript.pyannote[3399].start 24171.02159375
transcript.pyannote[3399].end 24175.39221875
transcript.pyannote[3400].speaker SPEAKER_46
transcript.pyannote[3400].start 24175.35846875
transcript.pyannote[3400].end 24175.67909375
transcript.pyannote[3401].speaker SPEAKER_18
transcript.pyannote[3401].start 24175.61159375
transcript.pyannote[3401].end 24179.00346875
transcript.pyannote[3402].speaker SPEAKER_46
transcript.pyannote[3402].start 24178.91909375
transcript.pyannote[3402].end 24179.29034375
transcript.pyannote[3403].speaker SPEAKER_18
transcript.pyannote[3403].start 24179.22284375
transcript.pyannote[3403].end 24188.79096875
transcript.pyannote[3404].speaker SPEAKER_18
transcript.pyannote[3404].start 24189.21284375
transcript.pyannote[3404].end 24193.19534375
transcript.pyannote[3405].speaker SPEAKER_18
transcript.pyannote[3405].start 24193.70159375
transcript.pyannote[3405].end 24195.27096875
transcript.pyannote[3406].speaker SPEAKER_29
transcript.pyannote[3406].start 24195.27096875
transcript.pyannote[3406].end 24195.28784375
transcript.pyannote[3407].speaker SPEAKER_18
transcript.pyannote[3407].start 24195.28784375
transcript.pyannote[3407].end 24195.47346875
transcript.pyannote[3408].speaker SPEAKER_29
transcript.pyannote[3408].start 24195.47346875
transcript.pyannote[3408].end 24195.55784375
transcript.pyannote[3409].speaker SPEAKER_18
transcript.pyannote[3409].start 24195.55784375
transcript.pyannote[3409].end 24195.62534375
transcript.pyannote[3410].speaker SPEAKER_29
transcript.pyannote[3410].start 24195.62534375
transcript.pyannote[3410].end 24195.70971875
transcript.pyannote[3411].speaker SPEAKER_18
transcript.pyannote[3411].start 24195.70971875
transcript.pyannote[3411].end 24195.96284375
transcript.pyannote[3412].speaker SPEAKER_29
transcript.pyannote[3412].start 24195.96284375
transcript.pyannote[3412].end 24206.03721875
transcript.pyannote[3413].speaker SPEAKER_18
transcript.pyannote[3413].start 24202.18971875
transcript.pyannote[3413].end 24218.64284375
transcript.pyannote[3414].speaker SPEAKER_29
transcript.pyannote[3414].start 24207.52221875
transcript.pyannote[3414].end 24208.60221875
transcript.pyannote[3415].speaker SPEAKER_18
transcript.pyannote[3415].start 24219.23346875
transcript.pyannote[3415].end 24223.04721875
transcript.pyannote[3416].speaker SPEAKER_18
transcript.pyannote[3416].start 24223.67159375
transcript.pyannote[3416].end 24224.14409375
transcript.pyannote[3417].speaker SPEAKER_18
transcript.pyannote[3417].start 24225.62909375
transcript.pyannote[3417].end 24226.65846875
transcript.pyannote[3418].speaker SPEAKER_18
transcript.pyannote[3418].start 24227.55284375
transcript.pyannote[3418].end 24227.78909375
transcript.pyannote[3419].speaker SPEAKER_35
transcript.pyannote[3419].start 24227.78909375
transcript.pyannote[3419].end 24227.97471875
transcript.pyannote[3420].speaker SPEAKER_18
transcript.pyannote[3420].start 24227.97471875
transcript.pyannote[3420].end 24228.02534375
transcript.pyannote[3421].speaker SPEAKER_29
transcript.pyannote[3421].start 24228.02534375
transcript.pyannote[3421].end 24228.43034375
transcript.pyannote[3422].speaker SPEAKER_18
transcript.pyannote[3422].start 24228.43034375
transcript.pyannote[3422].end 24229.05471875
transcript.pyannote[3423].speaker SPEAKER_35
transcript.pyannote[3423].start 24230.77596875
transcript.pyannote[3423].end 24249.01784375
transcript.pyannote[3424].speaker SPEAKER_18
transcript.pyannote[3424].start 24240.04034375
transcript.pyannote[3424].end 24245.87909375
transcript.pyannote[3425].speaker SPEAKER_18
transcript.pyannote[3425].start 24247.39784375
transcript.pyannote[3425].end 24249.59159375
transcript.pyannote[3426].speaker SPEAKER_18
transcript.pyannote[3426].start 24249.99659375
transcript.pyannote[3426].end 24250.36784375
transcript.pyannote[3427].speaker SPEAKER_18
transcript.pyannote[3427].start 24250.73909375
transcript.pyannote[3427].end 24254.02971875
transcript.pyannote[3428].speaker SPEAKER_35
transcript.pyannote[3428].start 24251.02596875
transcript.pyannote[3428].end 24251.19471875
transcript.pyannote[3429].speaker SPEAKER_49
transcript.pyannote[3429].start 24251.19471875
transcript.pyannote[3429].end 24251.27909375
transcript.pyannote[3430].speaker SPEAKER_18
transcript.pyannote[3430].start 24254.63721875
transcript.pyannote[3430].end 24255.46409375
transcript.pyannote[3431].speaker SPEAKER_18
transcript.pyannote[3431].start 24255.63284375
transcript.pyannote[3431].end 24255.66659375
transcript.pyannote[3432].speaker SPEAKER_49
transcript.pyannote[3432].start 24255.66659375
transcript.pyannote[3432].end 24256.45971875
transcript.pyannote[3433].speaker SPEAKER_18
transcript.pyannote[3433].start 24256.45971875
transcript.pyannote[3433].end 24261.74159375
transcript.pyannote[3434].speaker SPEAKER_49
transcript.pyannote[3434].start 24257.05034375
transcript.pyannote[3434].end 24258.09659375
transcript.pyannote[3435].speaker SPEAKER_18
transcript.pyannote[3435].start 24261.96096875
transcript.pyannote[3435].end 24263.29409375
transcript.pyannote[3436].speaker SPEAKER_18
transcript.pyannote[3436].start 24263.73284375
transcript.pyannote[3436].end 24264.93096875
transcript.pyannote[3437].speaker SPEAKER_29
transcript.pyannote[3437].start 24264.93096875
transcript.pyannote[3437].end 24264.98159375
transcript.pyannote[3438].speaker SPEAKER_29
transcript.pyannote[3438].start 24265.96034375
transcript.pyannote[3438].end 24304.19909375
transcript.pyannote[3439].speaker SPEAKER_22
transcript.pyannote[3439].start 24278.26221875
transcript.pyannote[3439].end 24278.83596875
transcript.pyannote[3440].speaker SPEAKER_18
transcript.pyannote[3440].start 24298.32659375
transcript.pyannote[3440].end 24298.76534375
transcript.pyannote[3441].speaker SPEAKER_18
transcript.pyannote[3441].start 24303.35534375
transcript.pyannote[3441].end 24334.33784375
transcript.pyannote[3442].speaker SPEAKER_39
transcript.pyannote[3442].start 24328.34721875
transcript.pyannote[3442].end 24329.37659375
transcript.pyannote[3443].speaker SPEAKER_39
transcript.pyannote[3443].start 24334.33784375
transcript.pyannote[3443].end 24334.77659375
transcript.pyannote[3444].speaker SPEAKER_18
transcript.pyannote[3444].start 24334.77659375
transcript.pyannote[3444].end 24345.96471875
transcript.pyannote[3445].speaker SPEAKER_29
transcript.pyannote[3445].start 24345.96471875
transcript.pyannote[3445].end 24359.75159375
transcript.pyannote[3446].speaker SPEAKER_18
transcript.pyannote[3446].start 24349.06971875
transcript.pyannote[3446].end 24349.96409375
transcript.pyannote[3447].speaker SPEAKER_39
transcript.pyannote[3447].start 24349.96409375
transcript.pyannote[3447].end 24350.09909375
transcript.pyannote[3448].speaker SPEAKER_46
transcript.pyannote[3448].start 24355.87034375
transcript.pyannote[3448].end 24355.88721875
transcript.pyannote[3449].speaker SPEAKER_18
transcript.pyannote[3449].start 24355.88721875
transcript.pyannote[3449].end 24356.24159375
transcript.pyannote[3450].speaker SPEAKER_18
transcript.pyannote[3450].start 24358.50284375
transcript.pyannote[3450].end 24359.83596875
transcript.pyannote[3451].speaker SPEAKER_29
transcript.pyannote[3451].start 24359.83596875
transcript.pyannote[3451].end 24360.34221875
transcript.pyannote[3452].speaker SPEAKER_18
transcript.pyannote[3452].start 24360.34221875
transcript.pyannote[3452].end 24361.37159375
transcript.pyannote[3453].speaker SPEAKER_29
transcript.pyannote[3453].start 24360.46034375
transcript.pyannote[3453].end 24361.05096875
transcript.pyannote[3454].speaker SPEAKER_43
transcript.pyannote[3454].start 24361.47284375
transcript.pyannote[3454].end 24361.48971875
transcript.pyannote[3455].speaker SPEAKER_18
transcript.pyannote[3455].start 24361.48971875
transcript.pyannote[3455].end 24361.60784375
transcript.pyannote[3456].speaker SPEAKER_43
transcript.pyannote[3456].start 24361.60784375
transcript.pyannote[3456].end 24361.84409375
transcript.pyannote[3457].speaker SPEAKER_18
transcript.pyannote[3457].start 24362.36721875
transcript.pyannote[3457].end 24370.18034375
transcript.pyannote[3458].speaker SPEAKER_35
transcript.pyannote[3458].start 24370.83846875
transcript.pyannote[3458].end 24376.94721875
transcript.pyannote[3459].speaker SPEAKER_35
transcript.pyannote[3459].start 24377.14971875
transcript.pyannote[3459].end 24386.11034375
transcript.pyannote[3460].speaker SPEAKER_18
transcript.pyannote[3460].start 24383.17409375
transcript.pyannote[3460].end 24383.52846875
transcript.pyannote[3461].speaker SPEAKER_18
transcript.pyannote[3461].start 24384.67596875
transcript.pyannote[3461].end 24387.20721875
transcript.pyannote[3462].speaker SPEAKER_18
transcript.pyannote[3462].start 24388.15221875
transcript.pyannote[3462].end 24389.02971875
transcript.pyannote[3463].speaker SPEAKER_18
transcript.pyannote[3463].start 24390.34596875
transcript.pyannote[3463].end 24390.93659375
transcript.pyannote[3464].speaker SPEAKER_18
transcript.pyannote[3464].start 24391.59471875
transcript.pyannote[3464].end 24392.45534375
transcript.pyannote[3465].speaker SPEAKER_29
transcript.pyannote[3465].start 24392.45534375
transcript.pyannote[3465].end 24392.47221875
transcript.pyannote[3466].speaker SPEAKER_43
transcript.pyannote[3466].start 24393.33284375
transcript.pyannote[3466].end 24393.34971875
transcript.pyannote[3467].speaker SPEAKER_29
transcript.pyannote[3467].start 24393.34971875
transcript.pyannote[3467].end 24394.44659375
transcript.pyannote[3468].speaker SPEAKER_29
transcript.pyannote[3468].start 24394.75034375
transcript.pyannote[3468].end 24398.02409375
transcript.pyannote[3469].speaker SPEAKER_18
transcript.pyannote[3469].start 24398.02409375
transcript.pyannote[3469].end 24398.71596875
transcript.pyannote[3470].speaker SPEAKER_18
transcript.pyannote[3470].start 24399.62721875
transcript.pyannote[3470].end 24403.72784375
transcript.pyannote[3471].speaker SPEAKER_18
transcript.pyannote[3471].start 24404.04846875
transcript.pyannote[3471].end 24429.96846875
transcript.pyannote[3472].speaker SPEAKER_00
transcript.pyannote[3472].start 24410.20784375
transcript.pyannote[3472].end 24414.96659375
transcript.pyannote[3473].speaker SPEAKER_29
transcript.pyannote[3473].start 24425.61471875
transcript.pyannote[3473].end 24445.03784375
transcript.pyannote[3474].speaker SPEAKER_39
transcript.pyannote[3474].start 24436.21221875
transcript.pyannote[3474].end 24436.22909375
transcript.pyannote[3475].speaker SPEAKER_46
transcript.pyannote[3475].start 24436.22909375
transcript.pyannote[3475].end 24436.41471875
transcript.pyannote[3476].speaker SPEAKER_18
transcript.pyannote[3476].start 24445.03784375
transcript.pyannote[3476].end 24445.30784375
transcript.pyannote[3477].speaker SPEAKER_29
transcript.pyannote[3477].start 24445.10534375
transcript.pyannote[3477].end 24445.18971875
transcript.pyannote[3478].speaker SPEAKER_46
transcript.pyannote[3478].start 24445.18971875
transcript.pyannote[3478].end 24445.74659375
transcript.pyannote[3479].speaker SPEAKER_18
transcript.pyannote[3479].start 24445.40909375
transcript.pyannote[3479].end 24455.90534375
transcript.pyannote[3480].speaker SPEAKER_29
transcript.pyannote[3480].start 24445.74659375
transcript.pyannote[3480].end 24445.84784375
transcript.pyannote[3481].speaker SPEAKER_18
transcript.pyannote[3481].start 24456.51284375
transcript.pyannote[3481].end 24457.82909375
transcript.pyannote[3482].speaker SPEAKER_46
transcript.pyannote[3482].start 24457.79534375
transcript.pyannote[3482].end 24458.16659375
transcript.pyannote[3483].speaker SPEAKER_18
transcript.pyannote[3483].start 24458.08221875
transcript.pyannote[3483].end 24461.28846875
transcript.pyannote[3484].speaker SPEAKER_18
transcript.pyannote[3484].start 24461.74409375
transcript.pyannote[3484].end 24479.41221875
transcript.pyannote[3485].speaker SPEAKER_18
transcript.pyannote[3485].start 24479.85096875
transcript.pyannote[3485].end 24510.95159375
transcript.pyannote[3486].speaker SPEAKER_18
transcript.pyannote[3486].start 24511.44096875
transcript.pyannote[3486].end 24513.16221875
transcript.pyannote[3487].speaker SPEAKER_07
transcript.pyannote[3487].start 24515.69346875
transcript.pyannote[3487].end 24517.07721875
transcript.pyannote[3488].speaker SPEAKER_07
transcript.pyannote[3488].start 24519.59159375
transcript.pyannote[3488].end 24528.75471875
transcript.pyannote[3489].speaker SPEAKER_07
transcript.pyannote[3489].start 24540.38159375
transcript.pyannote[3489].end 24540.71909375
transcript.pyannote[3490].speaker SPEAKER_28
transcript.pyannote[3490].start 24541.49534375
transcript.pyannote[3490].end 24543.16596875
transcript.pyannote[3491].speaker SPEAKER_07
transcript.pyannote[3491].start 24543.30096875
transcript.pyannote[3491].end 24544.22909375
transcript.pyannote[3492].speaker SPEAKER_28
transcript.pyannote[3492].start 24551.38409375
transcript.pyannote[3492].end 24556.76721875
transcript.pyannote[3493].speaker SPEAKER_29
transcript.pyannote[3493].start 24556.27784375
transcript.pyannote[3493].end 24557.02034375
transcript.pyannote[3494].speaker SPEAKER_28
transcript.pyannote[3494].start 24556.90221875
transcript.pyannote[3494].end 24559.80471875
transcript.pyannote[3495].speaker SPEAKER_29
transcript.pyannote[3495].start 24559.78784375
transcript.pyannote[3495].end 24566.01471875
transcript.pyannote[3496].speaker SPEAKER_28
transcript.pyannote[3496].start 24562.47096875
transcript.pyannote[3496].end 24574.21596875
transcript.pyannote[3497].speaker SPEAKER_46
transcript.pyannote[3497].start 24574.21596875
transcript.pyannote[3497].end 24574.38471875
transcript.pyannote[3498].speaker SPEAKER_28
transcript.pyannote[3498].start 24574.38471875
transcript.pyannote[3498].end 24574.45221875
transcript.pyannote[3499].speaker SPEAKER_46
transcript.pyannote[3499].start 24574.45221875
transcript.pyannote[3499].end 24574.46909375
transcript.pyannote[3500].speaker SPEAKER_28
transcript.pyannote[3500].start 24574.46909375
transcript.pyannote[3500].end 24592.82909375
transcript.pyannote[3501].speaker SPEAKER_46
transcript.pyannote[3501].start 24579.39659375
transcript.pyannote[3501].end 24579.75096875
transcript.pyannote[3502].speaker SPEAKER_46
transcript.pyannote[3502].start 24592.82909375
transcript.pyannote[3502].end 24593.13284375
transcript.pyannote[3503].speaker SPEAKER_28
transcript.pyannote[3503].start 24593.13284375
transcript.pyannote[3503].end 24607.54409375
transcript.pyannote[3504].speaker SPEAKER_46
transcript.pyannote[3504].start 24601.70534375
transcript.pyannote[3504].end 24601.72221875
transcript.pyannote[3505].speaker SPEAKER_43
transcript.pyannote[3505].start 24601.72221875
transcript.pyannote[3505].end 24602.11034375
transcript.pyannote[3506].speaker SPEAKER_28
transcript.pyannote[3506].start 24608.47221875
transcript.pyannote[3506].end 24619.28909375
transcript.pyannote[3507].speaker SPEAKER_28
transcript.pyannote[3507].start 24619.59284375
transcript.pyannote[3507].end 24620.95971875
transcript.pyannote[3508].speaker SPEAKER_28
transcript.pyannote[3508].start 24621.34784375
transcript.pyannote[3508].end 24623.45721875
transcript.pyannote[3509].speaker SPEAKER_28
transcript.pyannote[3509].start 24623.92971875
transcript.pyannote[3509].end 24626.29221875
transcript.pyannote[3510].speaker SPEAKER_28
transcript.pyannote[3510].start 24626.64659375
transcript.pyannote[3510].end 24629.76846875
transcript.pyannote[3511].speaker SPEAKER_28
transcript.pyannote[3511].start 24630.22409375
transcript.pyannote[3511].end 24633.10971875
transcript.pyannote[3512].speaker SPEAKER_28
transcript.pyannote[3512].start 24633.80159375
transcript.pyannote[3512].end 24634.93221875
transcript.pyannote[3513].speaker SPEAKER_28
transcript.pyannote[3513].start 24634.96596875
transcript.pyannote[3513].end 24638.07096875
transcript.pyannote[3514].speaker SPEAKER_28
transcript.pyannote[3514].start 24638.42534375
transcript.pyannote[3514].end 24642.40784375
transcript.pyannote[3515].speaker SPEAKER_28
transcript.pyannote[3515].start 24642.99846875
transcript.pyannote[3515].end 24659.29971875
transcript.pyannote[3516].speaker SPEAKER_00
transcript.pyannote[3516].start 24652.27971875
transcript.pyannote[3516].end 24652.63409375
transcript.pyannote[3517].speaker SPEAKER_00
transcript.pyannote[3517].start 24654.11909375
transcript.pyannote[3517].end 24654.49034375
transcript.pyannote[3518].speaker SPEAKER_28
transcript.pyannote[3518].start 24659.55284375
transcript.pyannote[3518].end 24660.29534375
transcript.pyannote[3519].speaker SPEAKER_28
transcript.pyannote[3519].start 24660.53159375
transcript.pyannote[3519].end 24664.95284375
transcript.pyannote[3520].speaker SPEAKER_28
transcript.pyannote[3520].start 24665.08784375
transcript.pyannote[3520].end 24675.93846875
transcript.pyannote[3521].speaker SPEAKER_28
transcript.pyannote[3521].start 24677.00159375
transcript.pyannote[3521].end 24735.84471875
transcript.pyannote[3522].speaker SPEAKER_29
transcript.pyannote[3522].start 24718.19346875
transcript.pyannote[3522].end 24719.13846875
transcript.pyannote[3523].speaker SPEAKER_29
transcript.pyannote[3523].start 24725.26409375
transcript.pyannote[3523].end 24726.24284375
transcript.pyannote[3524].speaker SPEAKER_29
transcript.pyannote[3524].start 24728.25096875
transcript.pyannote[3524].end 24728.60534375
transcript.pyannote[3525].speaker SPEAKER_29
transcript.pyannote[3525].start 24729.29721875
transcript.pyannote[3525].end 24732.50346875
transcript.pyannote[3526].speaker SPEAKER_29
transcript.pyannote[3526].start 24735.01784375
transcript.pyannote[3526].end 24735.03471875
transcript.pyannote[3527].speaker SPEAKER_29
transcript.pyannote[3527].start 24735.13596875
transcript.pyannote[3527].end 24735.16971875
transcript.pyannote[3528].speaker SPEAKER_28
transcript.pyannote[3528].start 24736.28346875
transcript.pyannote[3528].end 24738.05534375
transcript.pyannote[3529].speaker SPEAKER_28
transcript.pyannote[3529].start 24738.71346875
transcript.pyannote[3529].end 24740.62034375
transcript.pyannote[3530].speaker SPEAKER_28
transcript.pyannote[3530].start 24740.83971875
transcript.pyannote[3530].end 24742.59471875
transcript.pyannote[3531].speaker SPEAKER_39
transcript.pyannote[3531].start 24742.72971875
transcript.pyannote[3531].end 24743.06721875
transcript.pyannote[3532].speaker SPEAKER_28
transcript.pyannote[3532].start 24743.06721875
transcript.pyannote[3532].end 24750.07034375
transcript.pyannote[3533].speaker SPEAKER_28
transcript.pyannote[3533].start 24750.25596875
transcript.pyannote[3533].end 24752.21346875
transcript.pyannote[3534].speaker SPEAKER_46
transcript.pyannote[3534].start 24752.34846875
transcript.pyannote[3534].end 24752.55096875
transcript.pyannote[3535].speaker SPEAKER_28
transcript.pyannote[3535].start 24752.55096875
transcript.pyannote[3535].end 24766.25346875
transcript.pyannote[3536].speaker SPEAKER_28
transcript.pyannote[3536].start 24766.57409375
transcript.pyannote[3536].end 24769.03784375
transcript.pyannote[3537].speaker SPEAKER_28
transcript.pyannote[3537].start 24769.30784375
transcript.pyannote[3537].end 24771.60284375
transcript.pyannote[3538].speaker SPEAKER_46
transcript.pyannote[3538].start 24771.95721875
transcript.pyannote[3538].end 24772.21034375
transcript.pyannote[3539].speaker SPEAKER_28
transcript.pyannote[3539].start 24772.09221875
transcript.pyannote[3539].end 24789.43971875
transcript.pyannote[3540].speaker SPEAKER_29
transcript.pyannote[3540].start 24788.17409375
transcript.pyannote[3540].end 24801.43784375
transcript.pyannote[3541].speaker SPEAKER_16
transcript.pyannote[3541].start 24801.16784375
transcript.pyannote[3541].end 24801.94409375
transcript.pyannote[3542].speaker SPEAKER_29
transcript.pyannote[3542].start 24801.52221875
transcript.pyannote[3542].end 24803.24346875
transcript.pyannote[3543].speaker SPEAKER_16
transcript.pyannote[3543].start 24802.77096875
transcript.pyannote[3543].end 24805.16721875
transcript.pyannote[3544].speaker SPEAKER_29
transcript.pyannote[3544].start 24804.57659375
transcript.pyannote[3544].end 24821.02971875
transcript.pyannote[3545].speaker SPEAKER_28
transcript.pyannote[3545].start 24819.15659375
transcript.pyannote[3545].end 24820.60784375
transcript.pyannote[3546].speaker SPEAKER_28
transcript.pyannote[3546].start 24821.02971875
transcript.pyannote[3546].end 24854.98221875
transcript.pyannote[3547].speaker SPEAKER_29
transcript.pyannote[3547].start 24853.85159375
transcript.pyannote[3547].end 24854.99909375
transcript.pyannote[3548].speaker SPEAKER_28
transcript.pyannote[3548].start 24854.99909375
transcript.pyannote[3548].end 24855.03284375
transcript.pyannote[3549].speaker SPEAKER_29
transcript.pyannote[3549].start 24855.03284375
transcript.pyannote[3549].end 24855.08346875
transcript.pyannote[3550].speaker SPEAKER_28
transcript.pyannote[3550].start 24855.08346875
transcript.pyannote[3550].end 24855.38721875
transcript.pyannote[3551].speaker SPEAKER_29
transcript.pyannote[3551].start 24855.38721875
transcript.pyannote[3551].end 24855.47159375
transcript.pyannote[3552].speaker SPEAKER_28
transcript.pyannote[3552].start 24855.47159375
transcript.pyannote[3552].end 24856.60221875
transcript.pyannote[3553].speaker SPEAKER_29
transcript.pyannote[3553].start 24856.60221875
transcript.pyannote[3553].end 24856.73721875
transcript.pyannote[3554].speaker SPEAKER_28
transcript.pyannote[3554].start 24856.73721875
transcript.pyannote[3554].end 24856.97346875
transcript.pyannote[3555].speaker SPEAKER_29
transcript.pyannote[3555].start 24856.97346875
transcript.pyannote[3555].end 24861.32721875
transcript.pyannote[3556].speaker SPEAKER_07
transcript.pyannote[3556].start 24863.97659375
transcript.pyannote[3556].end 24865.56284375
transcript.pyannote[3557].speaker SPEAKER_07
transcript.pyannote[3557].start 24866.52471875
transcript.pyannote[3557].end 24869.19096875
transcript.pyannote[3558].speaker SPEAKER_07
transcript.pyannote[3558].start 24869.30909375
transcript.pyannote[3558].end 24873.07221875
transcript.pyannote[3559].speaker SPEAKER_07
transcript.pyannote[3559].start 24873.49409375
transcript.pyannote[3559].end 24875.35034375
transcript.pyannote[3560].speaker SPEAKER_07
transcript.pyannote[3560].start 24875.72159375
transcript.pyannote[3560].end 24879.75471875
transcript.pyannote[3561].speaker SPEAKER_07
transcript.pyannote[3561].start 24879.97409375
transcript.pyannote[3561].end 24881.83034375
transcript.pyannote[3562].speaker SPEAKER_07
transcript.pyannote[3562].start 24882.10034375
transcript.pyannote[3562].end 24888.05721875
transcript.pyannote[3563].speaker SPEAKER_07
transcript.pyannote[3563].start 24888.34409375
transcript.pyannote[3563].end 24892.42784375
transcript.pyannote[3564].speaker SPEAKER_07
transcript.pyannote[3564].start 24892.83284375
transcript.pyannote[3564].end 24894.84096875
transcript.pyannote[3565].speaker SPEAKER_07
transcript.pyannote[3565].start 24894.97596875
transcript.pyannote[3565].end 24900.91596875
transcript.pyannote[3566].speaker SPEAKER_07
transcript.pyannote[3566].start 24903.46409375
transcript.pyannote[3566].end 24904.57784375
transcript.pyannote[3567].speaker SPEAKER_09
transcript.pyannote[3567].start 24930.19409375
transcript.pyannote[3567].end 24931.93221875
transcript.pyannote[3568].speaker SPEAKER_09
transcript.pyannote[3568].start 24932.11784375
transcript.pyannote[3568].end 24935.79659375
transcript.pyannote[3569].speaker SPEAKER_09
transcript.pyannote[3569].start 24936.16784375
transcript.pyannote[3569].end 24939.20534375
transcript.pyannote[3570].speaker SPEAKER_09
transcript.pyannote[3570].start 24942.25971875
transcript.pyannote[3570].end 24943.10346875
transcript.pyannote[3571].speaker SPEAKER_39
transcript.pyannote[3571].start 24943.35659375
transcript.pyannote[3571].end 24944.63909375
transcript.pyannote[3572].speaker SPEAKER_09
transcript.pyannote[3572].start 24944.77409375
transcript.pyannote[3572].end 24945.55034375
transcript.pyannote[3573].speaker SPEAKER_09
transcript.pyannote[3573].start 24945.83721875
transcript.pyannote[3573].end 24946.41096875
transcript.pyannote[3574].speaker SPEAKER_39
transcript.pyannote[3574].start 24946.41096875
transcript.pyannote[3574].end 24947.22096875
transcript.pyannote[3575].speaker SPEAKER_09
transcript.pyannote[3575].start 24946.61346875
transcript.pyannote[3575].end 24949.06034375
transcript.pyannote[3576].speaker SPEAKER_09
transcript.pyannote[3576].start 24949.27971875
transcript.pyannote[3576].end 24954.59534375
transcript.pyannote[3577].speaker SPEAKER_46
transcript.pyannote[3577].start 24954.59534375
transcript.pyannote[3577].end 24954.93284375
transcript.pyannote[3578].speaker SPEAKER_09
transcript.pyannote[3578].start 24954.61221875
transcript.pyannote[3578].end 24954.64596875
transcript.pyannote[3579].speaker SPEAKER_09
transcript.pyannote[3579].start 24954.93284375
transcript.pyannote[3579].end 24955.64159375
transcript.pyannote[3580].speaker SPEAKER_09
transcript.pyannote[3580].start 24956.08034375
transcript.pyannote[3580].end 24965.64846875
transcript.pyannote[3581].speaker SPEAKER_09
transcript.pyannote[3581].start 24965.98596875
transcript.pyannote[3581].end 24979.58721875
transcript.pyannote[3582].speaker SPEAKER_09
transcript.pyannote[3582].start 24979.77284375
transcript.pyannote[3582].end 25007.17784375
transcript.pyannote[3583].speaker SPEAKER_09
transcript.pyannote[3583].start 25007.49846875
transcript.pyannote[3583].end 25022.39909375
transcript.pyannote[3584].speaker SPEAKER_46
transcript.pyannote[3584].start 25022.17971875
transcript.pyannote[3584].end 25022.38221875
transcript.pyannote[3585].speaker SPEAKER_46
transcript.pyannote[3585].start 25022.39909375
transcript.pyannote[3585].end 25022.43284375
transcript.pyannote[3586].speaker SPEAKER_09
transcript.pyannote[3586].start 25022.43284375
transcript.pyannote[3586].end 25025.41971875
transcript.pyannote[3587].speaker SPEAKER_46
transcript.pyannote[3587].start 25022.44971875
transcript.pyannote[3587].end 25022.58471875
transcript.pyannote[3588].speaker SPEAKER_09
transcript.pyannote[3588].start 25025.65596875
transcript.pyannote[3588].end 25031.88284375
transcript.pyannote[3589].speaker SPEAKER_09
transcript.pyannote[3589].start 25032.37221875
transcript.pyannote[3589].end 25034.53221875
transcript.pyannote[3590].speaker SPEAKER_09
transcript.pyannote[3590].start 25035.05534375
transcript.pyannote[3590].end 25043.05409375
transcript.pyannote[3591].speaker SPEAKER_09
transcript.pyannote[3591].start 25043.08784375
transcript.pyannote[3591].end 25059.65909375
transcript.pyannote[3592].speaker SPEAKER_46
transcript.pyannote[3592].start 25059.65909375
transcript.pyannote[3592].end 25059.97971875
transcript.pyannote[3593].speaker SPEAKER_09
transcript.pyannote[3593].start 25059.94596875
transcript.pyannote[3593].end 25062.34221875
transcript.pyannote[3594].speaker SPEAKER_09
transcript.pyannote[3594].start 25062.56159375
transcript.pyannote[3594].end 25070.74596875
transcript.pyannote[3595].speaker SPEAKER_09
transcript.pyannote[3595].start 25071.11721875
transcript.pyannote[3595].end 25088.26221875
transcript.pyannote[3596].speaker SPEAKER_29
transcript.pyannote[3596].start 25088.83596875
transcript.pyannote[3596].end 25089.57846875
transcript.pyannote[3597].speaker SPEAKER_09
transcript.pyannote[3597].start 25089.30846875
transcript.pyannote[3597].end 25090.50659375
transcript.pyannote[3598].speaker SPEAKER_29
transcript.pyannote[3598].start 25090.50659375
transcript.pyannote[3598].end 25115.32971875
transcript.pyannote[3599].speaker SPEAKER_09
transcript.pyannote[3599].start 25114.50284375
transcript.pyannote[3599].end 25116.54471875
transcript.pyannote[3600].speaker SPEAKER_29
transcript.pyannote[3600].start 25116.39284375
transcript.pyannote[3600].end 25130.17971875
transcript.pyannote[3601].speaker SPEAKER_29
transcript.pyannote[3601].start 25131.36096875
transcript.pyannote[3601].end 25146.73409375
transcript.pyannote[3602].speaker SPEAKER_31
transcript.pyannote[3602].start 25131.91784375
transcript.pyannote[3602].end 25132.62659375
transcript.pyannote[3603].speaker SPEAKER_46
transcript.pyannote[3603].start 25132.62659375
transcript.pyannote[3603].end 25132.71096875
transcript.pyannote[3604].speaker SPEAKER_24
transcript.pyannote[3604].start 25132.71096875
transcript.pyannote[3604].end 25132.76159375
transcript.pyannote[3605].speaker SPEAKER_09
transcript.pyannote[3605].start 25144.05096875
transcript.pyannote[3605].end 25144.37159375
transcript.pyannote[3606].speaker SPEAKER_09
transcript.pyannote[3606].start 25146.26159375
transcript.pyannote[3606].end 25150.41284375
transcript.pyannote[3607].speaker SPEAKER_09
transcript.pyannote[3607].start 25150.69971875
transcript.pyannote[3607].end 25154.31096875
transcript.pyannote[3608].speaker SPEAKER_09
transcript.pyannote[3608].start 25154.56409375
transcript.pyannote[3608].end 25156.67346875
transcript.pyannote[3609].speaker SPEAKER_09
transcript.pyannote[3609].start 25156.97721875
transcript.pyannote[3609].end 25164.45284375
transcript.pyannote[3610].speaker SPEAKER_29
transcript.pyannote[3610].start 25163.67659375
transcript.pyannote[3610].end 25167.10221875
transcript.pyannote[3611].speaker SPEAKER_09
transcript.pyannote[3611].start 25165.21221875
transcript.pyannote[3611].end 25170.46034375
transcript.pyannote[3612].speaker SPEAKER_09
transcript.pyannote[3612].start 25170.73034375
transcript.pyannote[3612].end 25182.96471875
transcript.pyannote[3613].speaker SPEAKER_29
transcript.pyannote[3613].start 25170.81471875
transcript.pyannote[3613].end 25171.16909375
transcript.pyannote[3614].speaker SPEAKER_46
transcript.pyannote[3614].start 25183.16721875
transcript.pyannote[3614].end 25183.18409375
transcript.pyannote[3615].speaker SPEAKER_39
transcript.pyannote[3615].start 25183.18409375
transcript.pyannote[3615].end 25183.94346875
transcript.pyannote[3616].speaker SPEAKER_09
transcript.pyannote[3616].start 25184.06159375
transcript.pyannote[3616].end 25187.41971875
transcript.pyannote[3617].speaker SPEAKER_39
transcript.pyannote[3617].start 25187.63909375
transcript.pyannote[3617].end 25187.90909375
transcript.pyannote[3618].speaker SPEAKER_09
transcript.pyannote[3618].start 25187.90909375
transcript.pyannote[3618].end 25188.31409375
transcript.pyannote[3619].speaker SPEAKER_39
transcript.pyannote[3619].start 25188.31409375
transcript.pyannote[3619].end 25188.34784375
transcript.pyannote[3620].speaker SPEAKER_46
transcript.pyannote[3620].start 25188.34784375
transcript.pyannote[3620].end 25188.56721875
transcript.pyannote[3621].speaker SPEAKER_39
transcript.pyannote[3621].start 25188.56721875
transcript.pyannote[3621].end 25188.58409375
transcript.pyannote[3622].speaker SPEAKER_09
transcript.pyannote[3622].start 25188.56721875
transcript.pyannote[3622].end 25197.40971875
transcript.pyannote[3623].speaker SPEAKER_46
transcript.pyannote[3623].start 25188.58409375
transcript.pyannote[3623].end 25188.61784375
transcript.pyannote[3624].speaker SPEAKER_09
transcript.pyannote[3624].start 25197.73034375
transcript.pyannote[3624].end 25254.26159375
transcript.pyannote[3625].speaker SPEAKER_09
transcript.pyannote[3625].start 25255.27409375
transcript.pyannote[3625].end 25256.13471875
transcript.pyannote[3626].speaker SPEAKER_09
transcript.pyannote[3626].start 25256.30346875
transcript.pyannote[3626].end 25264.36971875
transcript.pyannote[3627].speaker SPEAKER_44
transcript.pyannote[3627].start 25261.88909375
transcript.pyannote[3627].end 25262.39534375
transcript.pyannote[3628].speaker SPEAKER_44
transcript.pyannote[3628].start 25264.36971875
transcript.pyannote[3628].end 25264.57221875
transcript.pyannote[3629].speaker SPEAKER_09
transcript.pyannote[3629].start 25264.57221875
transcript.pyannote[3629].end 25267.54221875
transcript.pyannote[3630].speaker SPEAKER_09
transcript.pyannote[3630].start 25268.16659375
transcript.pyannote[3630].end 25280.02971875
transcript.pyannote[3631].speaker SPEAKER_09
transcript.pyannote[3631].start 25280.43471875
transcript.pyannote[3631].end 25282.40909375
transcript.pyannote[3632].speaker SPEAKER_29
transcript.pyannote[3632].start 25281.66659375
transcript.pyannote[3632].end 25283.26971875
transcript.pyannote[3633].speaker SPEAKER_29
transcript.pyannote[3633].start 25283.47221875
transcript.pyannote[3633].end 25284.40034375
transcript.pyannote[3634].speaker SPEAKER_09
transcript.pyannote[3634].start 25283.52284375
transcript.pyannote[3634].end 25284.67034375
transcript.pyannote[3635].speaker SPEAKER_09
transcript.pyannote[3635].start 25284.88971875
transcript.pyannote[3635].end 25286.17221875
transcript.pyannote[3636].speaker SPEAKER_29
transcript.pyannote[3636].start 25286.17221875
transcript.pyannote[3636].end 25286.22284375
transcript.pyannote[3637].speaker SPEAKER_46
transcript.pyannote[3637].start 25286.22284375
transcript.pyannote[3637].end 25286.27346875
transcript.pyannote[3638].speaker SPEAKER_09
transcript.pyannote[3638].start 25286.52659375
transcript.pyannote[3638].end 25289.07471875
transcript.pyannote[3639].speaker SPEAKER_09
transcript.pyannote[3639].start 25289.42909375
transcript.pyannote[3639].end 25294.55909375
transcript.pyannote[3640].speaker SPEAKER_09
transcript.pyannote[3640].start 25294.59284375
transcript.pyannote[3640].end 25295.31846875
transcript.pyannote[3641].speaker SPEAKER_09
transcript.pyannote[3641].start 25296.17909375
transcript.pyannote[3641].end 25297.20846875
transcript.pyannote[3642].speaker SPEAKER_09
transcript.pyannote[3642].start 25297.63034375
transcript.pyannote[3642].end 25309.00409375
transcript.pyannote[3643].speaker SPEAKER_09
transcript.pyannote[3643].start 25309.29096875
transcript.pyannote[3643].end 25320.07409375
transcript.pyannote[3644].speaker SPEAKER_09
transcript.pyannote[3644].start 25320.49596875
transcript.pyannote[3644].end 25333.20284375
transcript.pyannote[3645].speaker SPEAKER_29
transcript.pyannote[3645].start 25333.15221875
transcript.pyannote[3645].end 25337.03346875
transcript.pyannote[3646].speaker SPEAKER_29
transcript.pyannote[3646].start 25337.33721875
transcript.pyannote[3646].end 25337.37096875
transcript.pyannote[3647].speaker SPEAKER_09
transcript.pyannote[3647].start 25337.37096875
transcript.pyannote[3647].end 25343.05784375
transcript.pyannote[3648].speaker SPEAKER_29
transcript.pyannote[3648].start 25337.43846875
transcript.pyannote[3648].end 25338.24846875
transcript.pyannote[3649].speaker SPEAKER_29
transcript.pyannote[3649].start 25338.85596875
transcript.pyannote[3649].end 25340.12159375
transcript.pyannote[3650].speaker SPEAKER_09
transcript.pyannote[3650].start 25344.49221875
transcript.pyannote[3650].end 25352.92971875
transcript.pyannote[3651].speaker SPEAKER_09
transcript.pyannote[3651].start 25352.94659375
transcript.pyannote[3651].end 25358.92034375
transcript.pyannote[3652].speaker SPEAKER_09
transcript.pyannote[3652].start 25360.03409375
transcript.pyannote[3652].end 25371.44159375
transcript.pyannote[3653].speaker SPEAKER_09
transcript.pyannote[3653].start 25372.28534375
transcript.pyannote[3653].end 25382.02221875
transcript.pyannote[3654].speaker SPEAKER_09
transcript.pyannote[3654].start 25382.61284375
transcript.pyannote[3654].end 25386.96659375
transcript.pyannote[3655].speaker SPEAKER_46
transcript.pyannote[3655].start 25384.30034375
transcript.pyannote[3655].end 25384.57034375
transcript.pyannote[3656].speaker SPEAKER_09
transcript.pyannote[3656].start 25387.16909375
transcript.pyannote[3656].end 25391.79284375
transcript.pyannote[3657].speaker SPEAKER_09
transcript.pyannote[3657].start 25392.51846875
transcript.pyannote[3657].end 25392.85596875
transcript.pyannote[3658].speaker SPEAKER_09
transcript.pyannote[3658].start 25393.24409375
transcript.pyannote[3658].end 25397.68221875
transcript.pyannote[3659].speaker SPEAKER_46
transcript.pyannote[3659].start 25393.29471875
transcript.pyannote[3659].end 25393.93596875
transcript.pyannote[3660].speaker SPEAKER_09
transcript.pyannote[3660].start 25397.96909375
transcript.pyannote[3660].end 25407.33471875
transcript.pyannote[3661].speaker SPEAKER_09
transcript.pyannote[3661].start 25407.57096875
transcript.pyannote[3661].end 25417.51034375
transcript.pyannote[3662].speaker SPEAKER_09
transcript.pyannote[3662].start 25417.88159375
transcript.pyannote[3662].end 25426.18409375
transcript.pyannote[3663].speaker SPEAKER_09
transcript.pyannote[3663].start 25426.31909375
transcript.pyannote[3663].end 25431.70221875
transcript.pyannote[3664].speaker SPEAKER_46
transcript.pyannote[3664].start 25431.70221875
transcript.pyannote[3664].end 25432.25909375
transcript.pyannote[3665].speaker SPEAKER_09
transcript.pyannote[3665].start 25432.05659375
transcript.pyannote[3665].end 25434.43596875
transcript.pyannote[3666].speaker SPEAKER_09
transcript.pyannote[3666].start 25434.99284375
transcript.pyannote[3666].end 25437.96284375
transcript.pyannote[3667].speaker SPEAKER_09
transcript.pyannote[3667].start 25438.21596875
transcript.pyannote[3667].end 25443.44721875
transcript.pyannote[3668].speaker SPEAKER_09
transcript.pyannote[3668].start 25443.78471875
transcript.pyannote[3668].end 25446.99096875
transcript.pyannote[3669].speaker SPEAKER_46
transcript.pyannote[3669].start 25445.06721875
transcript.pyannote[3669].end 25445.38784375
transcript.pyannote[3670].speaker SPEAKER_46
transcript.pyannote[3670].start 25446.87284375
transcript.pyannote[3670].end 25448.59409375
transcript.pyannote[3671].speaker SPEAKER_09
transcript.pyannote[3671].start 25447.02471875
transcript.pyannote[3671].end 25448.25659375
transcript.pyannote[3672].speaker SPEAKER_09
transcript.pyannote[3672].start 25450.16346875
transcript.pyannote[3672].end 25450.19721875
transcript.pyannote[3673].speaker SPEAKER_07
transcript.pyannote[3673].start 25450.19721875
transcript.pyannote[3673].end 25451.66534375
transcript.pyannote[3674].speaker SPEAKER_07
transcript.pyannote[3674].start 25454.43284375
transcript.pyannote[3674].end 25457.03159375
transcript.pyannote[3675].speaker SPEAKER_07
transcript.pyannote[3675].start 25457.67284375
transcript.pyannote[3675].end 25463.86596875
transcript.pyannote[3676].speaker SPEAKER_43
transcript.pyannote[3676].start 25475.72909375
transcript.pyannote[3676].end 25480.16721875
transcript.pyannote[3677].speaker SPEAKER_07
transcript.pyannote[3677].start 25480.75784375
transcript.pyannote[3677].end 25482.31034375
transcript.pyannote[3678].speaker SPEAKER_39
transcript.pyannote[3678].start 25489.53284375
transcript.pyannote[3678].end 25489.56659375
transcript.pyannote[3679].speaker SPEAKER_39
transcript.pyannote[3679].start 25489.58346875
transcript.pyannote[3679].end 25491.13596875
transcript.pyannote[3680].speaker SPEAKER_39
transcript.pyannote[3680].start 25493.32971875
transcript.pyannote[3680].end 25493.61659375
transcript.pyannote[3681].speaker SPEAKER_15
transcript.pyannote[3681].start 25494.02159375
transcript.pyannote[3681].end 25494.69659375
transcript.pyannote[3682].speaker SPEAKER_39
transcript.pyannote[3682].start 25495.10159375
transcript.pyannote[3682].end 25495.97909375
transcript.pyannote[3683].speaker SPEAKER_15
transcript.pyannote[3683].start 25495.81034375
transcript.pyannote[3683].end 25498.15596875
transcript.pyannote[3684].speaker SPEAKER_46
transcript.pyannote[3684].start 25495.97909375
transcript.pyannote[3684].end 25496.09721875
transcript.pyannote[3685].speaker SPEAKER_39
transcript.pyannote[3685].start 25496.09721875
transcript.pyannote[3685].end 25496.11409375
transcript.pyannote[3686].speaker SPEAKER_46
transcript.pyannote[3686].start 25496.11409375
transcript.pyannote[3686].end 25496.13096875
transcript.pyannote[3687].speaker SPEAKER_39
transcript.pyannote[3687].start 25496.13096875
transcript.pyannote[3687].end 25496.14784375
transcript.pyannote[3688].speaker SPEAKER_46
transcript.pyannote[3688].start 25496.14784375
transcript.pyannote[3688].end 25496.24909375
transcript.pyannote[3689].speaker SPEAKER_39
transcript.pyannote[3689].start 25496.24909375
transcript.pyannote[3689].end 25496.28284375
transcript.pyannote[3690].speaker SPEAKER_46
transcript.pyannote[3690].start 25496.28284375
transcript.pyannote[3690].end 25496.31659375
transcript.pyannote[3691].speaker SPEAKER_15
transcript.pyannote[3691].start 25498.42596875
transcript.pyannote[3691].end 25502.40846875
transcript.pyannote[3692].speaker SPEAKER_46
transcript.pyannote[3692].start 25498.49346875
transcript.pyannote[3692].end 25498.86471875
transcript.pyannote[3693].speaker SPEAKER_39
transcript.pyannote[3693].start 25498.86471875
transcript.pyannote[3693].end 25498.96596875
transcript.pyannote[3694].speaker SPEAKER_15
transcript.pyannote[3694].start 25503.28596875
transcript.pyannote[3694].end 25508.16284375
transcript.pyannote[3695].speaker SPEAKER_35
transcript.pyannote[3695].start 25505.88471875
transcript.pyannote[3695].end 25506.67784375
transcript.pyannote[3696].speaker SPEAKER_35
transcript.pyannote[3696].start 25508.83784375
transcript.pyannote[3696].end 25515.82409375
transcript.pyannote[3697].speaker SPEAKER_15
transcript.pyannote[3697].start 25511.74034375
transcript.pyannote[3697].end 25512.61784375
transcript.pyannote[3698].speaker SPEAKER_15
transcript.pyannote[3698].start 25514.13659375
transcript.pyannote[3698].end 25515.97596875
transcript.pyannote[3699].speaker SPEAKER_35
transcript.pyannote[3699].start 25516.51596875
transcript.pyannote[3699].end 25522.87784375
transcript.pyannote[3700].speaker SPEAKER_15
transcript.pyannote[3700].start 25522.10159375
transcript.pyannote[3700].end 25525.76346875
transcript.pyannote[3701].speaker SPEAKER_15
transcript.pyannote[3701].start 25525.99971875
transcript.pyannote[3701].end 25527.02909375
transcript.pyannote[3702].speaker SPEAKER_35
transcript.pyannote[3702].start 25526.03346875
transcript.pyannote[3702].end 25526.96159375
transcript.pyannote[3703].speaker SPEAKER_35
transcript.pyannote[3703].start 25527.33284375
transcript.pyannote[3703].end 25540.02284375
transcript.pyannote[3704].speaker SPEAKER_15
transcript.pyannote[3704].start 25540.02284375
transcript.pyannote[3704].end 25541.17034375
transcript.pyannote[3705].speaker SPEAKER_35
transcript.pyannote[3705].start 25541.17034375
transcript.pyannote[3705].end 25541.20409375
transcript.pyannote[3706].speaker SPEAKER_35
transcript.pyannote[3706].start 25541.35596875
transcript.pyannote[3706].end 25541.74409375
transcript.pyannote[3707].speaker SPEAKER_15
transcript.pyannote[3707].start 25541.91284375
transcript.pyannote[3707].end 25543.78596875
transcript.pyannote[3708].speaker SPEAKER_15
transcript.pyannote[3708].start 25544.27534375
transcript.pyannote[3708].end 25548.00471875
transcript.pyannote[3709].speaker SPEAKER_15
transcript.pyannote[3709].start 25548.46034375
transcript.pyannote[3709].end 25551.12659375
transcript.pyannote[3710].speaker SPEAKER_15
transcript.pyannote[3710].start 25551.39659375
transcript.pyannote[3710].end 25553.59034375
transcript.pyannote[3711].speaker SPEAKER_15
transcript.pyannote[3711].start 25553.84346875
transcript.pyannote[3711].end 25555.71659375
transcript.pyannote[3712].speaker SPEAKER_35
transcript.pyannote[3712].start 25555.76721875
transcript.pyannote[3712].end 25562.11221875
transcript.pyannote[3713].speaker SPEAKER_15
transcript.pyannote[3713].start 25561.72409375
transcript.pyannote[3713].end 25563.68159375
transcript.pyannote[3714].speaker SPEAKER_35
transcript.pyannote[3714].start 25563.68159375
transcript.pyannote[3714].end 25565.95971875
transcript.pyannote[3715].speaker SPEAKER_15
transcript.pyannote[3715].start 25564.54221875
transcript.pyannote[3715].end 25567.10721875
transcript.pyannote[3716].speaker SPEAKER_35
transcript.pyannote[3716].start 25567.51221875
transcript.pyannote[3716].end 25573.46909375
transcript.pyannote[3717].speaker SPEAKER_35
transcript.pyannote[3717].start 25574.05971875
transcript.pyannote[3717].end 25576.62471875
transcript.pyannote[3718].speaker SPEAKER_15
transcript.pyannote[3718].start 25574.44784375
transcript.pyannote[3718].end 25574.97096875
transcript.pyannote[3719].speaker SPEAKER_15
transcript.pyannote[3719].start 25575.59534375
transcript.pyannote[3719].end 25576.57409375
transcript.pyannote[3720].speaker SPEAKER_15
transcript.pyannote[3720].start 25576.62471875
transcript.pyannote[3720].end 25578.09284375
transcript.pyannote[3721].speaker SPEAKER_35
transcript.pyannote[3721].start 25578.27846875
transcript.pyannote[3721].end 25582.59846875
transcript.pyannote[3722].speaker SPEAKER_15
transcript.pyannote[3722].start 25582.96971875
transcript.pyannote[3722].end 25587.55971875
transcript.pyannote[3723].speaker SPEAKER_15
transcript.pyannote[3723].start 25590.90096875
transcript.pyannote[3723].end 25592.18346875
transcript.pyannote[3724].speaker SPEAKER_15
transcript.pyannote[3724].start 25594.95096875
transcript.pyannote[3724].end 25598.10659375
transcript.pyannote[3725].speaker SPEAKER_15
transcript.pyannote[3725].start 25599.00096875
transcript.pyannote[3725].end 25600.13159375
transcript.pyannote[3726].speaker SPEAKER_15
transcript.pyannote[3726].start 25600.16534375
transcript.pyannote[3726].end 25601.93721875
transcript.pyannote[3727].speaker SPEAKER_15
transcript.pyannote[3727].start 25602.66284375
transcript.pyannote[3727].end 25604.85659375
transcript.pyannote[3728].speaker SPEAKER_15
transcript.pyannote[3728].start 25605.29534375
transcript.pyannote[3728].end 25606.52721875
transcript.pyannote[3729].speaker SPEAKER_15
transcript.pyannote[3729].start 25607.35409375
transcript.pyannote[3729].end 25609.15971875
transcript.pyannote[3730].speaker SPEAKER_35
transcript.pyannote[3730].start 25609.44659375
transcript.pyannote[3730].end 25610.39159375
transcript.pyannote[3731].speaker SPEAKER_35
transcript.pyannote[3731].start 25610.76284375
transcript.pyannote[3731].end 25610.83034375
transcript.pyannote[3732].speaker SPEAKER_15
transcript.pyannote[3732].start 25610.83034375
transcript.pyannote[3732].end 25613.42909375
transcript.pyannote[3733].speaker SPEAKER_15
transcript.pyannote[3733].start 25614.27284375
transcript.pyannote[3733].end 25616.01096875
transcript.pyannote[3734].speaker SPEAKER_15
transcript.pyannote[3734].start 25616.90534375
transcript.pyannote[3734].end 25617.96846875
transcript.pyannote[3735].speaker SPEAKER_15
transcript.pyannote[3735].start 25618.60971875
transcript.pyannote[3735].end 25619.18346875
transcript.pyannote[3736].speaker SPEAKER_15
transcript.pyannote[3736].start 25619.72346875
transcript.pyannote[3736].end 25621.29284375
transcript.pyannote[3737].speaker SPEAKER_15
transcript.pyannote[3737].start 25621.57971875
transcript.pyannote[3737].end 25622.59221875
transcript.pyannote[3738].speaker SPEAKER_15
transcript.pyannote[3738].start 25623.08159375
transcript.pyannote[3738].end 25623.99284375
transcript.pyannote[3739].speaker SPEAKER_15
transcript.pyannote[3739].start 25624.95471875
transcript.pyannote[3739].end 25628.05971875
transcript.pyannote[3740].speaker SPEAKER_15
transcript.pyannote[3740].start 25628.83596875
transcript.pyannote[3740].end 25630.15221875
transcript.pyannote[3741].speaker SPEAKER_15
transcript.pyannote[3741].start 25631.06346875
transcript.pyannote[3741].end 25631.41784375
transcript.pyannote[3742].speaker SPEAKER_15
transcript.pyannote[3742].start 25632.95346875
transcript.pyannote[3742].end 25634.97846875
transcript.pyannote[3743].speaker SPEAKER_15
transcript.pyannote[3743].start 25635.50159375
transcript.pyannote[3743].end 25636.86846875
transcript.pyannote[3744].speaker SPEAKER_15
transcript.pyannote[3744].start 25637.32409375
transcript.pyannote[3744].end 25639.38284375
transcript.pyannote[3745].speaker SPEAKER_15
transcript.pyannote[3745].start 25639.90596875
transcript.pyannote[3745].end 25643.23034375
transcript.pyannote[3746].speaker SPEAKER_15
transcript.pyannote[3746].start 25643.68596875
transcript.pyannote[3746].end 25644.32721875
transcript.pyannote[3747].speaker SPEAKER_15
transcript.pyannote[3747].start 25645.00221875
transcript.pyannote[3747].end 25645.99784375
transcript.pyannote[3748].speaker SPEAKER_15
transcript.pyannote[3748].start 25647.16221875
transcript.pyannote[3748].end 25648.52909375
transcript.pyannote[3749].speaker SPEAKER_15
transcript.pyannote[3749].start 25649.03534375
transcript.pyannote[3749].end 25650.95909375
transcript.pyannote[3750].speaker SPEAKER_15
transcript.pyannote[3750].start 25651.93784375
transcript.pyannote[3750].end 25652.96721875
transcript.pyannote[3751].speaker SPEAKER_35
transcript.pyannote[3751].start 25652.96721875
transcript.pyannote[3751].end 25653.03471875
transcript.pyannote[3752].speaker SPEAKER_15
transcript.pyannote[3752].start 25653.52409375
transcript.pyannote[3752].end 25653.55784375
transcript.pyannote[3753].speaker SPEAKER_35
transcript.pyannote[3753].start 25653.55784375
transcript.pyannote[3753].end 25654.92471875
transcript.pyannote[3754].speaker SPEAKER_35
transcript.pyannote[3754].start 25655.09346875
transcript.pyannote[3754].end 25660.07159375
transcript.pyannote[3755].speaker SPEAKER_35
transcript.pyannote[3755].start 25660.37534375
transcript.pyannote[3755].end 25670.07846875
transcript.pyannote[3756].speaker SPEAKER_35
transcript.pyannote[3756].start 25670.26409375
transcript.pyannote[3756].end 25677.75659375
transcript.pyannote[3757].speaker SPEAKER_35
transcript.pyannote[3757].start 25678.07721875
transcript.pyannote[3757].end 25680.00096875
transcript.pyannote[3758].speaker SPEAKER_15
transcript.pyannote[3758].start 25678.60034375
transcript.pyannote[3758].end 25681.87409375
transcript.pyannote[3759].speaker SPEAKER_35
transcript.pyannote[3759].start 25681.75596875
transcript.pyannote[3759].end 25683.61221875
transcript.pyannote[3760].speaker SPEAKER_15
transcript.pyannote[3760].start 25683.66284375
transcript.pyannote[3760].end 25684.84409375
transcript.pyannote[3761].speaker SPEAKER_15
transcript.pyannote[3761].start 25685.29971875
transcript.pyannote[3761].end 25686.31221875
transcript.pyannote[3762].speaker SPEAKER_15
transcript.pyannote[3762].start 25688.03346875
transcript.pyannote[3762].end 25691.61096875
transcript.pyannote[3763].speaker SPEAKER_15
transcript.pyannote[3763].start 25691.99909375
transcript.pyannote[3763].end 25695.05346875
transcript.pyannote[3764].speaker SPEAKER_15
transcript.pyannote[3764].start 25695.07034375
transcript.pyannote[3764].end 25696.18409375
transcript.pyannote[3765].speaker SPEAKER_15
transcript.pyannote[3765].start 25696.67346875
transcript.pyannote[3765].end 25699.03596875
transcript.pyannote[3766].speaker SPEAKER_15
transcript.pyannote[3766].start 25699.81221875
transcript.pyannote[3766].end 25701.53346875
transcript.pyannote[3767].speaker SPEAKER_15
transcript.pyannote[3767].start 25702.61346875
transcript.pyannote[3767].end 25705.70159375
transcript.pyannote[3768].speaker SPEAKER_15
transcript.pyannote[3768].start 25706.56221875
transcript.pyannote[3768].end 25708.95846875
transcript.pyannote[3769].speaker SPEAKER_15
transcript.pyannote[3769].start 25709.58284375
transcript.pyannote[3769].end 25710.42659375
transcript.pyannote[3770].speaker SPEAKER_15
transcript.pyannote[3770].start 25710.56159375
transcript.pyannote[3770].end 25711.96221875
transcript.pyannote[3771].speaker SPEAKER_15
transcript.pyannote[3771].start 25712.51909375
transcript.pyannote[3771].end 25714.79721875
transcript.pyannote[3772].speaker SPEAKER_15
transcript.pyannote[3772].start 25716.06284375
transcript.pyannote[3772].end 25716.85596875
transcript.pyannote[3773].speaker SPEAKER_15
transcript.pyannote[3773].start 25717.41284375
transcript.pyannote[3773].end 25719.75846875
transcript.pyannote[3774].speaker SPEAKER_46
transcript.pyannote[3774].start 25720.07909375
transcript.pyannote[3774].end 25720.36596875
transcript.pyannote[3775].speaker SPEAKER_15
transcript.pyannote[3775].start 25720.68659375
transcript.pyannote[3775].end 25723.03221875
transcript.pyannote[3776].speaker SPEAKER_15
transcript.pyannote[3776].start 25723.35284375
transcript.pyannote[3776].end 25726.03596875
transcript.pyannote[3777].speaker SPEAKER_15
transcript.pyannote[3777].start 25726.57596875
transcript.pyannote[3777].end 25728.87096875
transcript.pyannote[3778].speaker SPEAKER_15
transcript.pyannote[3778].start 25729.78221875
transcript.pyannote[3778].end 25731.92534375
transcript.pyannote[3779].speaker SPEAKER_15
transcript.pyannote[3779].start 25732.51596875
transcript.pyannote[3779].end 25738.06784375
transcript.pyannote[3780].speaker SPEAKER_15
transcript.pyannote[3780].start 25738.89471875
transcript.pyannote[3780].end 25739.68784375
transcript.pyannote[3781].speaker SPEAKER_15
transcript.pyannote[3781].start 25740.24471875
transcript.pyannote[3781].end 25741.37534375
transcript.pyannote[3782].speaker SPEAKER_15
transcript.pyannote[3782].start 25741.86471875
transcript.pyannote[3782].end 25744.24409375
transcript.pyannote[3783].speaker SPEAKER_15
transcript.pyannote[3783].start 25744.83471875
transcript.pyannote[3783].end 25745.45909375
transcript.pyannote[3784].speaker SPEAKER_15
transcript.pyannote[3784].start 25746.01596875
transcript.pyannote[3784].end 25749.13784375
transcript.pyannote[3785].speaker SPEAKER_15
transcript.pyannote[3785].start 25749.64409375
transcript.pyannote[3785].end 25752.41159375
transcript.pyannote[3786].speaker SPEAKER_15
transcript.pyannote[3786].start 25753.06971875
transcript.pyannote[3786].end 25756.10721875
transcript.pyannote[3787].speaker SPEAKER_15
transcript.pyannote[3787].start 25756.37721875
transcript.pyannote[3787].end 25759.02659375
transcript.pyannote[3788].speaker SPEAKER_15
transcript.pyannote[3788].start 25759.66784375
transcript.pyannote[3788].end 25760.00534375
transcript.pyannote[3789].speaker SPEAKER_15
transcript.pyannote[3789].start 25760.44409375
transcript.pyannote[3789].end 25764.46034375
transcript.pyannote[3790].speaker SPEAKER_15
transcript.pyannote[3790].start 25765.27034375
transcript.pyannote[3790].end 25766.40096875
transcript.pyannote[3791].speaker SPEAKER_15
transcript.pyannote[3791].start 25767.09284375
transcript.pyannote[3791].end 25770.04596875
transcript.pyannote[3792].speaker SPEAKER_15
transcript.pyannote[3792].start 25770.82221875
transcript.pyannote[3792].end 25776.08721875
transcript.pyannote[3793].speaker SPEAKER_15
transcript.pyannote[3793].start 25776.61034375
transcript.pyannote[3793].end 25778.92221875
transcript.pyannote[3794].speaker SPEAKER_15
transcript.pyannote[3794].start 25779.56346875
transcript.pyannote[3794].end 25780.35659375
transcript.pyannote[3795].speaker SPEAKER_15
transcript.pyannote[3795].start 25780.47471875
transcript.pyannote[3795].end 25782.12846875
transcript.pyannote[3796].speaker SPEAKER_15
transcript.pyannote[3796].start 25782.68534375
transcript.pyannote[3796].end 25784.28846875
transcript.pyannote[3797].speaker SPEAKER_15
transcript.pyannote[3797].start 25784.84534375
transcript.pyannote[3797].end 25788.64221875
transcript.pyannote[3798].speaker SPEAKER_15
transcript.pyannote[3798].start 25789.57034375
transcript.pyannote[3798].end 25791.08909375
transcript.pyannote[3799].speaker SPEAKER_15
transcript.pyannote[3799].start 25791.54471875
transcript.pyannote[3799].end 25793.01284375
transcript.pyannote[3800].speaker SPEAKER_15
transcript.pyannote[3800].start 25793.55284375
transcript.pyannote[3800].end 25797.48471875
transcript.pyannote[3801].speaker SPEAKER_15
transcript.pyannote[3801].start 25798.07534375
transcript.pyannote[3801].end 25800.21846875
transcript.pyannote[3802].speaker SPEAKER_15
transcript.pyannote[3802].start 25800.72471875
transcript.pyannote[3802].end 25802.12534375
transcript.pyannote[3803].speaker SPEAKER_15
transcript.pyannote[3803].start 25802.73284375
transcript.pyannote[3803].end 25804.23471875
transcript.pyannote[3804].speaker SPEAKER_15
transcript.pyannote[3804].start 25805.07846875
transcript.pyannote[3804].end 25806.42846875
transcript.pyannote[3805].speaker SPEAKER_15
transcript.pyannote[3805].start 25806.91784375
transcript.pyannote[3805].end 25807.18784375
transcript.pyannote[3806].speaker SPEAKER_15
transcript.pyannote[3806].start 25807.77846875
transcript.pyannote[3806].end 25810.05659375
transcript.pyannote[3807].speaker SPEAKER_15
transcript.pyannote[3807].start 25810.36034375
transcript.pyannote[3807].end 25814.69721875
transcript.pyannote[3808].speaker SPEAKER_15
transcript.pyannote[3808].start 25814.76471875
transcript.pyannote[3808].end 25814.78159375
transcript.pyannote[3809].speaker SPEAKER_15
transcript.pyannote[3809].start 25814.81534375
transcript.pyannote[3809].end 25821.07596875
transcript.pyannote[3810].speaker SPEAKER_15
transcript.pyannote[3810].start 25823.65784375
transcript.pyannote[3810].end 25835.11596875
transcript.pyannote[3811].speaker SPEAKER_46
transcript.pyannote[3811].start 25823.70846875
transcript.pyannote[3811].end 25823.97846875
transcript.pyannote[3812].speaker SPEAKER_00
transcript.pyannote[3812].start 25823.97846875
transcript.pyannote[3812].end 25824.63659375
transcript.pyannote[3813].speaker SPEAKER_15
transcript.pyannote[3813].start 25835.94284375
transcript.pyannote[3813].end 25841.17409375
transcript.pyannote[3814].speaker SPEAKER_15
transcript.pyannote[3814].start 25841.62971875
transcript.pyannote[3814].end 25845.30846875
transcript.pyannote[3815].speaker SPEAKER_15
transcript.pyannote[3815].start 25845.96659375
transcript.pyannote[3815].end 25848.07596875
transcript.pyannote[3816].speaker SPEAKER_15
transcript.pyannote[3816].start 25848.68346875
transcript.pyannote[3816].end 25850.55659375
transcript.pyannote[3817].speaker SPEAKER_15
transcript.pyannote[3817].start 25851.11346875
transcript.pyannote[3817].end 25853.08784375
transcript.pyannote[3818].speaker SPEAKER_15
transcript.pyannote[3818].start 25853.47596875
transcript.pyannote[3818].end 25854.75846875
transcript.pyannote[3819].speaker SPEAKER_15
transcript.pyannote[3819].start 25855.01159375
transcript.pyannote[3819].end 25867.38096875
transcript.pyannote[3820].speaker SPEAKER_15
transcript.pyannote[3820].start 25867.80284375
transcript.pyannote[3820].end 25868.84909375
transcript.pyannote[3821].speaker SPEAKER_15
transcript.pyannote[3821].start 25869.28784375
transcript.pyannote[3821].end 25870.35096875
transcript.pyannote[3822].speaker SPEAKER_15
transcript.pyannote[3822].start 25871.05971875
transcript.pyannote[3822].end 25872.69659375
transcript.pyannote[3823].speaker SPEAKER_15
transcript.pyannote[3823].start 25873.03409375
transcript.pyannote[3823].end 25880.86409375
transcript.pyannote[3824].speaker SPEAKER_15
transcript.pyannote[3824].start 25881.55596875
transcript.pyannote[3824].end 25888.71096875
transcript.pyannote[3825].speaker SPEAKER_29
transcript.pyannote[3825].start 25888.72784375
transcript.pyannote[3825].end 25895.20784375
transcript.pyannote[3826].speaker SPEAKER_15
transcript.pyannote[3826].start 25895.20784375
transcript.pyannote[3826].end 25897.33409375
transcript.pyannote[3827].speaker SPEAKER_29
transcript.pyannote[3827].start 25897.95846875
transcript.pyannote[3827].end 25898.41409375
transcript.pyannote[3828].speaker SPEAKER_29
transcript.pyannote[3828].start 25898.78534375
transcript.pyannote[3828].end 25903.76346875
transcript.pyannote[3829].speaker SPEAKER_15
transcript.pyannote[3829].start 25903.76346875
transcript.pyannote[3829].end 25905.60284375
transcript.pyannote[3830].speaker SPEAKER_29
transcript.pyannote[3830].start 25904.62409375
transcript.pyannote[3830].end 25907.07096875
transcript.pyannote[3831].speaker SPEAKER_15
transcript.pyannote[3831].start 25906.66596875
transcript.pyannote[3831].end 25915.84596875
transcript.pyannote[3832].speaker SPEAKER_15
transcript.pyannote[3832].start 25915.96409375
transcript.pyannote[3832].end 25915.99784375
transcript.pyannote[3833].speaker SPEAKER_15
transcript.pyannote[3833].start 25916.20034375
transcript.pyannote[3833].end 25921.73534375
transcript.pyannote[3834].speaker SPEAKER_46
transcript.pyannote[3834].start 25921.80284375
transcript.pyannote[3834].end 25922.20784375
transcript.pyannote[3835].speaker SPEAKER_15
transcript.pyannote[3835].start 25922.64659375
transcript.pyannote[3835].end 25926.88221875
transcript.pyannote[3836].speaker SPEAKER_15
transcript.pyannote[3836].start 25927.42221875
transcript.pyannote[3836].end 25928.72159375
transcript.pyannote[3837].speaker SPEAKER_15
transcript.pyannote[3837].start 25929.22784375
transcript.pyannote[3837].end 25931.15159375
transcript.pyannote[3838].speaker SPEAKER_15
transcript.pyannote[3838].start 25931.74221875
transcript.pyannote[3838].end 25933.73346875
transcript.pyannote[3839].speaker SPEAKER_29
transcript.pyannote[3839].start 25933.73346875
transcript.pyannote[3839].end 25935.45471875
transcript.pyannote[3840].speaker SPEAKER_15
transcript.pyannote[3840].start 25935.45471875
transcript.pyannote[3840].end 25943.03159375
transcript.pyannote[3841].speaker SPEAKER_29
transcript.pyannote[3841].start 25935.57284375
transcript.pyannote[3841].end 25935.58971875
transcript.pyannote[3842].speaker SPEAKER_15
transcript.pyannote[3842].start 25943.35221875
transcript.pyannote[3842].end 25944.11159375
transcript.pyannote[3843].speaker SPEAKER_15
transcript.pyannote[3843].start 25944.85409375
transcript.pyannote[3843].end 25951.70534375
transcript.pyannote[3844].speaker SPEAKER_15
transcript.pyannote[3844].start 25952.12721875
transcript.pyannote[3844].end 25952.58284375
transcript.pyannote[3845].speaker SPEAKER_15
transcript.pyannote[3845].start 25953.25784375
transcript.pyannote[3845].end 25953.91596875
transcript.pyannote[3846].speaker SPEAKER_07
transcript.pyannote[3846].start 25957.32471875
transcript.pyannote[3846].end 25958.82659375
transcript.pyannote[3847].speaker SPEAKER_07
transcript.pyannote[3847].start 25961.47596875
transcript.pyannote[3847].end 25964.10846875
transcript.pyannote[3848].speaker SPEAKER_07
transcript.pyannote[3848].start 25964.51346875
transcript.pyannote[3848].end 25975.60034375
transcript.pyannote[3849].speaker SPEAKER_07
transcript.pyannote[3849].start 25976.00534375
transcript.pyannote[3849].end 25977.74346875
transcript.pyannote[3850].speaker SPEAKER_07
transcript.pyannote[3850].start 25978.13159375
transcript.pyannote[3850].end 25982.04659375
transcript.pyannote[3851].speaker SPEAKER_07
transcript.pyannote[3851].start 25982.36721875
transcript.pyannote[3851].end 25984.37534375
transcript.pyannote[3852].speaker SPEAKER_07
transcript.pyannote[3852].start 25984.57784375
transcript.pyannote[3852].end 25988.23971875
transcript.pyannote[3853].speaker SPEAKER_07
transcript.pyannote[3853].start 25988.44221875
transcript.pyannote[3853].end 25990.43346875
transcript.pyannote[3854].speaker SPEAKER_07
transcript.pyannote[3854].start 25990.73721875
transcript.pyannote[3854].end 25994.82096875
transcript.pyannote[3855].speaker SPEAKER_07
transcript.pyannote[3855].start 25994.97284375
transcript.pyannote[3855].end 25997.21721875
transcript.pyannote[3856].speaker SPEAKER_07
transcript.pyannote[3856].start 25997.35221875
transcript.pyannote[3856].end 26000.71034375
transcript.pyannote[3857].speaker SPEAKER_07
transcript.pyannote[3857].start 26001.03096875
transcript.pyannote[3857].end 26002.88721875
transcript.pyannote[3858].speaker SPEAKER_07
transcript.pyannote[3858].start 26003.35971875
transcript.pyannote[3858].end 26009.02971875
transcript.pyannote[3859].speaker SPEAKER_07
transcript.pyannote[3859].start 26009.33346875
transcript.pyannote[3859].end 26012.82659375
transcript.pyannote[3860].speaker SPEAKER_07
transcript.pyannote[3860].start 26013.07971875
transcript.pyannote[3860].end 26015.29034375
transcript.pyannote[3861].speaker SPEAKER_07
transcript.pyannote[3861].start 26015.57721875
transcript.pyannote[3861].end 26019.71159375
transcript.pyannote[3862].speaker SPEAKER_07
transcript.pyannote[3862].start 26019.86346875
transcript.pyannote[3862].end 26021.82096875
transcript.pyannote[3863].speaker SPEAKER_40
transcript.pyannote[3863].start 26034.47721875
transcript.pyannote[3863].end 26037.46409375
transcript.pyannote[3864].speaker SPEAKER_07
transcript.pyannote[3864].start 26036.85659375
transcript.pyannote[3864].end 26037.88596875
transcript.pyannote[3865].speaker SPEAKER_40
transcript.pyannote[3865].start 26038.13909375
transcript.pyannote[3865].end 26040.55221875
transcript.pyannote[3866].speaker SPEAKER_40
transcript.pyannote[3866].start 26041.14284375
transcript.pyannote[3866].end 26043.50534375
transcript.pyannote[3867].speaker SPEAKER_40
transcript.pyannote[3867].start 26044.33221875
transcript.pyannote[3867].end 26045.78346875
transcript.pyannote[3868].speaker SPEAKER_40
transcript.pyannote[3868].start 26046.62721875
transcript.pyannote[3868].end 26047.97721875
transcript.pyannote[3869].speaker SPEAKER_16
transcript.pyannote[3869].start 26046.64409375
transcript.pyannote[3869].end 26047.15034375
transcript.pyannote[3870].speaker SPEAKER_40
transcript.pyannote[3870].start 26049.73221875
transcript.pyannote[3870].end 26050.89659375
transcript.pyannote[3871].speaker SPEAKER_40
transcript.pyannote[3871].start 26051.92596875
transcript.pyannote[3871].end 26052.83721875
transcript.pyannote[3872].speaker SPEAKER_40
transcript.pyannote[3872].start 26053.14096875
transcript.pyannote[3872].end 26053.46159375
transcript.pyannote[3873].speaker SPEAKER_40
transcript.pyannote[3873].start 26053.96784375
transcript.pyannote[3873].end 26056.83659375
transcript.pyannote[3874].speaker SPEAKER_40
transcript.pyannote[3874].start 26057.79846875
transcript.pyannote[3874].end 26059.16534375
transcript.pyannote[3875].speaker SPEAKER_40
transcript.pyannote[3875].start 26062.25346875
transcript.pyannote[3875].end 26062.96221875
transcript.pyannote[3876].speaker SPEAKER_40
transcript.pyannote[3876].start 26063.85659375
transcript.pyannote[3876].end 26064.68346875
transcript.pyannote[3877].speaker SPEAKER_40
transcript.pyannote[3877].start 26065.20659375
transcript.pyannote[3877].end 26067.19784375
transcript.pyannote[3878].speaker SPEAKER_16
transcript.pyannote[3878].start 26065.27409375
transcript.pyannote[3878].end 26065.91534375
transcript.pyannote[3879].speaker SPEAKER_40
transcript.pyannote[3879].start 26067.75471875
transcript.pyannote[3879].end 26067.97409375
transcript.pyannote[3880].speaker SPEAKER_39
transcript.pyannote[3880].start 26067.97409375
transcript.pyannote[3880].end 26068.00784375
transcript.pyannote[3881].speaker SPEAKER_40
transcript.pyannote[3881].start 26068.00784375
transcript.pyannote[3881].end 26068.09221875
transcript.pyannote[3882].speaker SPEAKER_40
transcript.pyannote[3882].start 26068.36221875
transcript.pyannote[3882].end 26071.34909375
transcript.pyannote[3883].speaker SPEAKER_39
transcript.pyannote[3883].start 26071.06221875
transcript.pyannote[3883].end 26071.07909375
transcript.pyannote[3884].speaker SPEAKER_43
transcript.pyannote[3884].start 26071.07909375
transcript.pyannote[3884].end 26071.16346875
transcript.pyannote[3885].speaker SPEAKER_39
transcript.pyannote[3885].start 26071.16346875
transcript.pyannote[3885].end 26071.21409375
transcript.pyannote[3886].speaker SPEAKER_43
transcript.pyannote[3886].start 26071.21409375
transcript.pyannote[3886].end 26071.29846875
transcript.pyannote[3887].speaker SPEAKER_40
transcript.pyannote[3887].start 26071.50096875
transcript.pyannote[3887].end 26071.51784375
transcript.pyannote[3888].speaker SPEAKER_43
transcript.pyannote[3888].start 26071.51784375
transcript.pyannote[3888].end 26071.63596875
transcript.pyannote[3889].speaker SPEAKER_39
transcript.pyannote[3889].start 26071.63596875
transcript.pyannote[3889].end 26071.87221875
transcript.pyannote[3890].speaker SPEAKER_40
transcript.pyannote[3890].start 26071.63596875
transcript.pyannote[3890].end 26074.82534375
transcript.pyannote[3891].speaker SPEAKER_43
transcript.pyannote[3891].start 26071.87221875
transcript.pyannote[3891].end 26071.95659375
transcript.pyannote[3892].speaker SPEAKER_40
transcript.pyannote[3892].start 26075.14596875
transcript.pyannote[3892].end 26076.54659375
transcript.pyannote[3893].speaker SPEAKER_43
transcript.pyannote[3893].start 26076.54659375
transcript.pyannote[3893].end 26076.90096875
transcript.pyannote[3894].speaker SPEAKER_40
transcript.pyannote[3894].start 26076.90096875
transcript.pyannote[3894].end 26080.25909375
transcript.pyannote[3895].speaker SPEAKER_40
transcript.pyannote[3895].start 26080.29284375
transcript.pyannote[3895].end 26084.47784375
transcript.pyannote[3896].speaker SPEAKER_40
transcript.pyannote[3896].start 26085.35534375
transcript.pyannote[3896].end 26088.22409375
transcript.pyannote[3897].speaker SPEAKER_40
transcript.pyannote[3897].start 26088.83159375
transcript.pyannote[3897].end 26091.41346875
transcript.pyannote[3898].speaker SPEAKER_39
transcript.pyannote[3898].start 26091.41346875
transcript.pyannote[3898].end 26091.51471875
transcript.pyannote[3899].speaker SPEAKER_40
transcript.pyannote[3899].start 26091.51471875
transcript.pyannote[3899].end 26091.54846875
transcript.pyannote[3900].speaker SPEAKER_39
transcript.pyannote[3900].start 26091.54846875
transcript.pyannote[3900].end 26091.81846875
transcript.pyannote[3901].speaker SPEAKER_40
transcript.pyannote[3901].start 26091.81846875
transcript.pyannote[3901].end 26091.88596875
transcript.pyannote[3902].speaker SPEAKER_39
transcript.pyannote[3902].start 26091.88596875
transcript.pyannote[3902].end 26091.93659375
transcript.pyannote[3903].speaker SPEAKER_40
transcript.pyannote[3903].start 26091.93659375
transcript.pyannote[3903].end 26094.55221875
transcript.pyannote[3904].speaker SPEAKER_39
transcript.pyannote[3904].start 26092.00409375
transcript.pyannote[3904].end 26093.03346875
transcript.pyannote[3905].speaker SPEAKER_46
transcript.pyannote[3905].start 26093.03346875
transcript.pyannote[3905].end 26094.70409375
transcript.pyannote[3906].speaker SPEAKER_40
transcript.pyannote[3906].start 26094.56909375
transcript.pyannote[3906].end 26094.58596875
transcript.pyannote[3907].speaker SPEAKER_40
transcript.pyannote[3907].start 26094.63659375
transcript.pyannote[3907].end 26098.02846875
transcript.pyannote[3908].speaker SPEAKER_40
transcript.pyannote[3908].start 26098.80471875
transcript.pyannote[3908].end 26101.35284375
transcript.pyannote[3909].speaker SPEAKER_46
transcript.pyannote[3909].start 26099.71596875
transcript.pyannote[3909].end 26099.74971875
transcript.pyannote[3910].speaker SPEAKER_24
transcript.pyannote[3910].start 26099.74971875
transcript.pyannote[3910].end 26100.72846875
transcript.pyannote[3911].speaker SPEAKER_46
transcript.pyannote[3911].start 26100.72846875
transcript.pyannote[3911].end 26100.82971875
transcript.pyannote[3912].speaker SPEAKER_24
transcript.pyannote[3912].start 26102.02784375
transcript.pyannote[3912].end 26103.74909375
transcript.pyannote[3913].speaker SPEAKER_24
transcript.pyannote[3913].start 26105.45346875
transcript.pyannote[3913].end 26120.52284375
transcript.pyannote[3914].speaker SPEAKER_40
transcript.pyannote[3914].start 26121.31596875
transcript.pyannote[3914].end 26124.89346875
transcript.pyannote[3915].speaker SPEAKER_24
transcript.pyannote[3915].start 26125.18034375
transcript.pyannote[3915].end 26125.46721875
transcript.pyannote[3916].speaker SPEAKER_24
transcript.pyannote[3916].start 26125.50096875
transcript.pyannote[3916].end 26128.30221875
transcript.pyannote[3917].speaker SPEAKER_29
transcript.pyannote[3917].start 26128.15034375
transcript.pyannote[3917].end 26128.16721875
transcript.pyannote[3918].speaker SPEAKER_40
transcript.pyannote[3918].start 26128.16721875
transcript.pyannote[3918].end 26128.21784375
transcript.pyannote[3919].speaker SPEAKER_29
transcript.pyannote[3919].start 26128.21784375
transcript.pyannote[3919].end 26128.30221875
transcript.pyannote[3920].speaker SPEAKER_40
transcript.pyannote[3920].start 26128.30221875
transcript.pyannote[3920].end 26128.97721875
transcript.pyannote[3921].speaker SPEAKER_29
transcript.pyannote[3921].start 26128.97721875
transcript.pyannote[3921].end 26129.58471875
transcript.pyannote[3922].speaker SPEAKER_24
transcript.pyannote[3922].start 26129.97284375
transcript.pyannote[3922].end 26132.21721875
transcript.pyannote[3923].speaker SPEAKER_29
transcript.pyannote[3923].start 26131.23846875
transcript.pyannote[3923].end 26139.03471875
transcript.pyannote[3924].speaker SPEAKER_24
transcript.pyannote[3924].start 26133.38159375
transcript.pyannote[3924].end 26133.97221875
transcript.pyannote[3925].speaker SPEAKER_40
transcript.pyannote[3925].start 26133.97221875
transcript.pyannote[3925].end 26134.27596875
transcript.pyannote[3926].speaker SPEAKER_24
transcript.pyannote[3926].start 26134.27596875
transcript.pyannote[3926].end 26135.96346875
transcript.pyannote[3927].speaker SPEAKER_40
transcript.pyannote[3927].start 26135.96346875
transcript.pyannote[3927].end 26143.87784375
transcript.pyannote[3928].speaker SPEAKER_29
transcript.pyannote[3928].start 26142.27471875
transcript.pyannote[3928].end 26147.48909375
transcript.pyannote[3929].speaker SPEAKER_40
transcript.pyannote[3929].start 26145.09284375
transcript.pyannote[3929].end 26147.10096875
transcript.pyannote[3930].speaker SPEAKER_40
transcript.pyannote[3930].start 26147.18534375
transcript.pyannote[3930].end 26150.07096875
transcript.pyannote[3931].speaker SPEAKER_29
transcript.pyannote[3931].start 26149.31159375
transcript.pyannote[3931].end 26149.61534375
transcript.pyannote[3932].speaker SPEAKER_40
transcript.pyannote[3932].start 26150.57721875
transcript.pyannote[3932].end 26152.51784375
transcript.pyannote[3933].speaker SPEAKER_40
transcript.pyannote[3933].start 26152.65284375
transcript.pyannote[3933].end 26163.87471875
transcript.pyannote[3934].speaker SPEAKER_40
transcript.pyannote[3934].start 26164.17846875
transcript.pyannote[3934].end 26167.80659375
transcript.pyannote[3935].speaker SPEAKER_00
transcript.pyannote[3935].start 26164.24596875
transcript.pyannote[3935].end 26164.53284375
transcript.pyannote[3936].speaker SPEAKER_46
transcript.pyannote[3936].start 26164.53284375
transcript.pyannote[3936].end 26164.97159375
transcript.pyannote[3937].speaker SPEAKER_00
transcript.pyannote[3937].start 26164.97159375
transcript.pyannote[3937].end 26165.03909375
transcript.pyannote[3938].speaker SPEAKER_46
transcript.pyannote[3938].start 26165.03909375
transcript.pyannote[3938].end 26165.41034375
transcript.pyannote[3939].speaker SPEAKER_40
transcript.pyannote[3939].start 26168.09346875
transcript.pyannote[3939].end 26170.47284375
transcript.pyannote[3940].speaker SPEAKER_40
transcript.pyannote[3940].start 26170.89471875
transcript.pyannote[3940].end 26186.43659375
transcript.pyannote[3941].speaker SPEAKER_46
transcript.pyannote[3941].start 26186.77409375
transcript.pyannote[3941].end 26187.11159375
transcript.pyannote[3942].speaker SPEAKER_40
transcript.pyannote[3942].start 26187.11159375
transcript.pyannote[3942].end 26189.96346875
transcript.pyannote[3943].speaker SPEAKER_40
transcript.pyannote[3943].start 26190.18284375
transcript.pyannote[3943].end 26193.89534375
transcript.pyannote[3944].speaker SPEAKER_46
transcript.pyannote[3944].start 26194.19909375
transcript.pyannote[3944].end 26194.41846875
transcript.pyannote[3945].speaker SPEAKER_40
transcript.pyannote[3945].start 26194.41846875
transcript.pyannote[3945].end 26195.41409375
transcript.pyannote[3946].speaker SPEAKER_40
transcript.pyannote[3946].start 26195.70096875
transcript.pyannote[3946].end 26196.81471875
transcript.pyannote[3947].speaker SPEAKER_40
transcript.pyannote[3947].start 26197.25346875
transcript.pyannote[3947].end 26199.24471875
transcript.pyannote[3948].speaker SPEAKER_40
transcript.pyannote[3948].start 26199.71721875
transcript.pyannote[3948].end 26202.04596875
transcript.pyannote[3949].speaker SPEAKER_40
transcript.pyannote[3949].start 26203.22721875
transcript.pyannote[3949].end 26205.97784375
transcript.pyannote[3950].speaker SPEAKER_40
transcript.pyannote[3950].start 26206.39971875
transcript.pyannote[3950].end 26214.06096875
transcript.pyannote[3951].speaker SPEAKER_29
transcript.pyannote[3951].start 26214.06096875
transcript.pyannote[3951].end 26223.29159375
transcript.pyannote[3952].speaker SPEAKER_40
transcript.pyannote[3952].start 26221.30034375
transcript.pyannote[3952].end 26231.49284375
transcript.pyannote[3953].speaker SPEAKER_29
transcript.pyannote[3953].start 26225.41784375
transcript.pyannote[3953].end 26226.24471875
transcript.pyannote[3954].speaker SPEAKER_39
transcript.pyannote[3954].start 26226.24471875
transcript.pyannote[3954].end 26226.43034375
transcript.pyannote[3955].speaker SPEAKER_39
transcript.pyannote[3955].start 26231.12159375
transcript.pyannote[3955].end 26232.01596875
transcript.pyannote[3956].speaker SPEAKER_40
transcript.pyannote[3956].start 26231.96534375
transcript.pyannote[3956].end 26240.13284375
transcript.pyannote[3957].speaker SPEAKER_40
transcript.pyannote[3957].start 26241.07784375
transcript.pyannote[3957].end 26242.73159375
transcript.pyannote[3958].speaker SPEAKER_40
transcript.pyannote[3958].start 26243.40659375
transcript.pyannote[3958].end 26251.77659375
transcript.pyannote[3959].speaker SPEAKER_40
transcript.pyannote[3959].start 26251.96221875
transcript.pyannote[3959].end 26256.83909375
transcript.pyannote[3960].speaker SPEAKER_40
transcript.pyannote[3960].start 26257.15971875
transcript.pyannote[3960].end 26260.38284375
transcript.pyannote[3961].speaker SPEAKER_40
transcript.pyannote[3961].start 26260.82159375
transcript.pyannote[3961].end 26262.69471875
transcript.pyannote[3962].speaker SPEAKER_46
transcript.pyannote[3962].start 26262.69471875
transcript.pyannote[3962].end 26262.94784375
transcript.pyannote[3963].speaker SPEAKER_40
transcript.pyannote[3963].start 26262.94784375
transcript.pyannote[3963].end 26275.68846875
transcript.pyannote[3964].speaker SPEAKER_29
transcript.pyannote[3964].start 26275.35096875
transcript.pyannote[3964].end 26277.52784375
transcript.pyannote[3965].speaker SPEAKER_40
transcript.pyannote[3965].start 26276.46471875
transcript.pyannote[3965].end 26277.03846875
transcript.pyannote[3966].speaker SPEAKER_40
transcript.pyannote[3966].start 26277.52784375
transcript.pyannote[3966].end 26277.71346875
transcript.pyannote[3967].speaker SPEAKER_29
transcript.pyannote[3967].start 26277.71346875
transcript.pyannote[3967].end 26277.94971875
transcript.pyannote[3968].speaker SPEAKER_40
transcript.pyannote[3968].start 26277.94971875
transcript.pyannote[3968].end 26278.10159375
transcript.pyannote[3969].speaker SPEAKER_29
transcript.pyannote[3969].start 26278.10159375
transcript.pyannote[3969].end 26278.20284375
transcript.pyannote[3970].speaker SPEAKER_40
transcript.pyannote[3970].start 26278.13534375
transcript.pyannote[3970].end 26278.45596875
transcript.pyannote[3971].speaker SPEAKER_29
transcript.pyannote[3971].start 26278.45596875
transcript.pyannote[3971].end 26278.75971875
transcript.pyannote[3972].speaker SPEAKER_40
transcript.pyannote[3972].start 26279.01284375
transcript.pyannote[3972].end 26282.47221875
transcript.pyannote[3973].speaker SPEAKER_40
transcript.pyannote[3973].start 26283.01221875
transcript.pyannote[3973].end 26283.73784375
transcript.pyannote[3974].speaker SPEAKER_40
transcript.pyannote[3974].start 26284.04159375
transcript.pyannote[3974].end 26284.78409375
transcript.pyannote[3975].speaker SPEAKER_39
transcript.pyannote[3975].start 26284.78409375
transcript.pyannote[3975].end 26285.20596875
transcript.pyannote[3976].speaker SPEAKER_40
transcript.pyannote[3976].start 26285.20596875
transcript.pyannote[3976].end 26287.61909375
transcript.pyannote[3977].speaker SPEAKER_40
transcript.pyannote[3977].start 26288.14221875
transcript.pyannote[3977].end 26296.03971875
transcript.pyannote[3978].speaker SPEAKER_40
transcript.pyannote[3978].start 26296.10721875
transcript.pyannote[3978].end 26300.03909375
transcript.pyannote[3979].speaker SPEAKER_40
transcript.pyannote[3979].start 26300.62971875
transcript.pyannote[3979].end 26302.01346875
transcript.pyannote[3980].speaker SPEAKER_40
transcript.pyannote[3980].start 26302.92471875
transcript.pyannote[3980].end 26304.34221875
transcript.pyannote[3981].speaker SPEAKER_40
transcript.pyannote[3981].start 26305.16909375
transcript.pyannote[3981].end 26307.07596875
transcript.pyannote[3982].speaker SPEAKER_40
transcript.pyannote[3982].start 26307.34596875
transcript.pyannote[3982].end 26307.80159375
transcript.pyannote[3983].speaker SPEAKER_40
transcript.pyannote[3983].start 26308.74659375
transcript.pyannote[3983].end 26309.91096875
transcript.pyannote[3984].speaker SPEAKER_40
transcript.pyannote[3984].start 26310.82221875
transcript.pyannote[3984].end 26313.45471875
transcript.pyannote[3985].speaker SPEAKER_40
transcript.pyannote[3985].start 26314.93971875
transcript.pyannote[3985].end 26319.05721875
transcript.pyannote[3986].speaker SPEAKER_40
transcript.pyannote[3986].start 26319.37784375
transcript.pyannote[3986].end 26322.43221875
transcript.pyannote[3987].speaker SPEAKER_40
transcript.pyannote[3987].start 26323.42784375
transcript.pyannote[3987].end 26324.65971875
transcript.pyannote[3988].speaker SPEAKER_40
transcript.pyannote[3988].start 26326.09409375
transcript.pyannote[3988].end 26330.65034375
transcript.pyannote[3989].speaker SPEAKER_29
transcript.pyannote[3989].start 26330.98784375
transcript.pyannote[3989].end 26336.11784375
transcript.pyannote[3990].speaker SPEAKER_40
transcript.pyannote[3990].start 26331.17346875
transcript.pyannote[3990].end 26332.86096875
transcript.pyannote[3991].speaker SPEAKER_40
transcript.pyannote[3991].start 26336.11784375
transcript.pyannote[3991].end 26337.99096875
transcript.pyannote[3992].speaker SPEAKER_30
transcript.pyannote[3992].start 26338.10909375
transcript.pyannote[3992].end 26340.52221875
transcript.pyannote[3993].speaker SPEAKER_29
transcript.pyannote[3993].start 26340.92721875
transcript.pyannote[3993].end 26343.89721875
transcript.pyannote[3994].speaker SPEAKER_29
transcript.pyannote[3994].start 26344.80846875
transcript.pyannote[3994].end 26350.02284375
transcript.pyannote[3995].speaker SPEAKER_40
transcript.pyannote[3995].start 26350.34346875
transcript.pyannote[3995].end 26357.44784375
transcript.pyannote[3996].speaker SPEAKER_29
transcript.pyannote[3996].start 26352.50346875
transcript.pyannote[3996].end 26353.33034375
transcript.pyannote[3997].speaker SPEAKER_46
transcript.pyannote[3997].start 26357.68409375
transcript.pyannote[3997].end 26358.02159375
transcript.pyannote[3998].speaker SPEAKER_40
transcript.pyannote[3998].start 26358.02159375
transcript.pyannote[3998].end 26359.72596875
transcript.pyannote[3999].speaker SPEAKER_40
transcript.pyannote[3999].start 26361.32909375
transcript.pyannote[3999].end 26371.50471875
transcript.pyannote[4000].speaker SPEAKER_29
transcript.pyannote[4000].start 26370.62721875
transcript.pyannote[4000].end 26373.91784375
transcript.pyannote[4001].speaker SPEAKER_40
transcript.pyannote[4001].start 26372.60159375
transcript.pyannote[4001].end 26373.05721875
transcript.pyannote[4002].speaker SPEAKER_40
transcript.pyannote[4002].start 26373.32721875
transcript.pyannote[4002].end 26373.61409375
transcript.pyannote[4003].speaker SPEAKER_40
transcript.pyannote[4003].start 26373.91784375
transcript.pyannote[4003].end 26373.96846875
transcript.pyannote[4004].speaker SPEAKER_29
transcript.pyannote[4004].start 26373.96846875
transcript.pyannote[4004].end 26374.44096875
transcript.pyannote[4005].speaker SPEAKER_29
transcript.pyannote[4005].start 26375.43659375
transcript.pyannote[4005].end 26378.81159375
transcript.pyannote[4006].speaker SPEAKER_40
transcript.pyannote[4006].start 26378.35596875
transcript.pyannote[4006].end 26378.37284375
transcript.pyannote[4007].speaker SPEAKER_38
transcript.pyannote[4007].start 26378.37284375
transcript.pyannote[4007].end 26383.48596875
transcript.pyannote[4008].speaker SPEAKER_40
transcript.pyannote[4008].start 26381.37659375
transcript.pyannote[4008].end 26396.10846875
transcript.pyannote[4009].speaker SPEAKER_07
transcript.pyannote[4009].start 26397.91409375
transcript.pyannote[4009].end 26400.04034375
transcript.pyannote[4010].speaker SPEAKER_07
transcript.pyannote[4010].start 26402.87534375
transcript.pyannote[4010].end 26427.47909375
transcript.pyannote[4011].speaker SPEAKER_46
transcript.pyannote[4011].start 26464.23284375
transcript.pyannote[4011].end 26464.24971875
transcript.pyannote[4012].speaker SPEAKER_46
transcript.pyannote[4012].start 26464.26659375
transcript.pyannote[4012].end 26464.31721875
transcript.pyannote[4013].speaker SPEAKER_46
transcript.pyannote[4013].start 26464.45221875
transcript.pyannote[4013].end 26464.57034375
transcript.whisperx[0].start 125.367
transcript.whisperx[0].end 127.671
transcript.whisperx[0].text 響鐘
transcript.whisperx[1].start 1421.69
transcript.whisperx[1].end 1422.497
transcript.whisperx[1].text 委員會主席
transcript.whisperx[2].start 1871.72
transcript.whisperx[2].end 1896.858
transcript.whisperx[2].text 出席委員及主法定人數現在開會那請議事人員宣讀上次會議議事錄立法院第11屆第2會期交通委員會第5次全體委員會議議事錄時間113年11月14日星期一上午9時至下午1時6分地點本院紅樓201會議室出席委員李坤哲等15人練習委員鄭天才等21人練習官員交通部政務次長
transcript.whisperx[3].start 1897.958
transcript.whisperx[3].end 1922.266
transcript.whisperx[3].text 吳聖元等主席曾召集委員數月報告思想宣讀上次會議議事錄決定議事錄確定邀請交通部等進行專題報告並備質詢本日會議由交通部政務次長吳聖元等報告後藉由委員李坤哲等20人提出質詢均經政務次長吳聖元及相關人員分別予以答覆決定一報告及詢答完畢二為郵號等5人所提書面質詢
transcript.whisperx[4].start 1923.257
transcript.whisperx[4].end 1926.358
transcript.whisperx[4].text 請問各位委員對一事錄有沒有意見?沒有意見我們一事錄確定現在介紹在場委員首先介紹林佩祥委員
transcript.whisperx[5].start 1951.68
transcript.whisperx[5].end 1973.573
transcript.whisperx[5].text 在我們歡迎李坤哲委員謝謝我們介紹列席人員我們交通部部長陳世凱部長謝謝陸正吉道安司司長黃運貴司長謝謝公共運輸級監理司林福山司長謝謝
transcript.whisperx[6].start 1975.981
transcript.whisperx[6].end 1991.587
transcript.whisperx[6].text 行政司韓正華司長 交通產業發展及國際事務司陳晉生司長 綜合規劃司張垂龍司長 交通科技及資訊司黃欣勳司長 會計處張信一處長 人事處陳昆遠處長
transcript.whisperx[7].start 2000.819
transcript.whisperx[7].end 2029.493
transcript.whisperx[7].text 秘書處黃定環處長政風處劉廣基處長法制處許鴻達處長還有統計處陳慧欣處長還有我們觀光署周永輝署長中央氣象署陳佳萍署長還有我們公路局陳文瑞局長還有運輸研究所林紀國所長
transcript.whisperx[8].start 2031.648
transcript.whisperx[8].end 2058.529
transcript.whisperx[8].text 鐵道局楊振軍局長高速公路局趙新華局長航港局葉協榮局長還有民用航空局何淑平局長國營台灣鐵路股份有限公司杜威董事長還有台灣港務股份有限公司李行義董事長還有中華郵政股份有限公司王國才董事長
transcript.whisperx[9].start 2065.795
transcript.whisperx[9].end 2086.826
transcript.whisperx[9].text 臺灣高速鐵路股份有限公司江耀宗董事長陽明海運股份有限公司蔡豐銘董事長中華電信股份有限公司簡志成董事長中華航空股份有限公司謝士謙董事長內政部警政署航空警察局邱文亮局長
transcript.whisperx[10].start 2091.837
transcript.whisperx[10].end 2117.93
transcript.whisperx[10].text 臺中市公共運輸及捷運工程處主任秘書黃國書臺原市捷運工程處呂蔣慧處長高雄市政府捷運工程局副局長王正一副局長臺原市政府捷運工程局廖振遠副局長新北市政府捷運工程局王逸祥副局長臺北市政府捷運工程局陳郭正副局長以上介紹
transcript.whisperx[11].start 2121.92
transcript.whisperx[11].end 2125.467
transcript.whisperx[11].text 好那本次會議邀請交通部部長陳世凱部長列席報告業務概況並備質詢那我們現在請交通部陳部長進行業務報告
transcript.whisperx[12].start 2146.918
transcript.whisperx[12].end 2162.114
transcript.whisperx[12].text 主席各位委員先進今天應邀列席貴委員會就交通部主管的重要業務提出報告並備質詢請各位委員指教僅表示感謝之意
transcript.whisperx[13].start 2163.766
transcript.whisperx[13].end 2191.915
transcript.whisperx[13].text 為了實現國家希望工程為施政願景交通部建構人本交通便捷臺灣發展觀光綠色運輸之策略並在AI行動內閣的推動政策下持續強化智慧交通氣象郵政等等的服務以科技結合人本在有效率要安全要創新的前提下其與成為全民交通的後盾
transcript.whisperx[14].start 2193.203
transcript.whisperx[14].end 2208.685
transcript.whisperx[14].text 有關本部近期各項的施政重要點.以編列印成書面.報告送櫃會.敬請各位委員指教.以下僅就落實運輸安全與人本價值.
transcript.whisperx[15].start 2209.753
transcript.whisperx[15].end 2209.913
transcript.whisperx[15].text 報告如後
transcript.whisperx[16].start 2229.79
transcript.whisperx[16].end 2244.728
transcript.whisperx[16].text 第一個主軸我們要落實運輸安全與人本價值為了保障用路人的需求與安全本部致力於推動保護行人安全、鐵道行車安全以及提升偏鄉公共運輸等等的課題並積極執行
transcript.whisperx[17].start 2247.455
transcript.whisperx[17].end 2268.911
transcript.whisperx[17].text 第一點我們在改善路面工程環境的面向有799處的義照式路口截至9月底已經完成了435處預計在今年底全數完成校園周邊的路口改善截至今年的9月底已經完成了48校預計在今年底要完成200校的計畫
transcript.whisperx[18].start 2271.631
transcript.whisperx[18].end 2296.884
transcript.whisperx[18].text 針對省道路口的安全也就是本部所轄管的省道截至9月底之前已經完成了899處的路口改善我們希望在年底能夠完成2000處的路口改善至於最近民眾在道路通行的過程當中有發現全國行人穿越道的退縮到9月底已經完成了2022處
transcript.whisperx[19].start 2300.407
transcript.whisperx[19].end 2315.177
transcript.whisperx[19].text 接下來落實推動各項道安改善的工作我們在減少死亡人數的部分1到6月30日死亡人數較過去同期減少了9%也就是141人推動安全駕駛的升級
transcript.whisperx[20].start 2316.818
transcript.whisperx[20].end 2334.204
transcript.whisperx[20].text 為了降低年輕族群的事故情況我們鼓勵騎機車的民眾能夠透過完善的訓練之後再取得駕照並且建立駕駛人取得駕照上路的防禦駕駛以及安全駕駛的觀念到9月底我們總共有38,013人參加訓練
transcript.whisperx[21].start 2339.073
transcript.whisperx[21].end 2344.096
transcript.whisperx[21].text 我們也補助了機車的這個道路安駕的訓練鼓勵民眾由駕訓班的教練來帶領實際上路來學習到9月份我們總共有5000人參加這個訓練參加駕訓以及道安這個駕訓
transcript.whisperx[22].start 2355.484
transcript.whisperx[22].end 2374.84
transcript.whisperx[22].text 的這個考照者、摩托車的考照者我們的違規的風險率降低了64%事故的風險率降低了51%所以在民國114年也就是明年我們會持續來推動並且加大補助的力道希望讓更多的人能夠參與這個駕訓機車的考照的駕訓
transcript.whisperx[23].start 2381.84
transcript.whisperx[23].end 2401.473
transcript.whisperx[23].text 接下來針對確保鐵道行車安全提升軌道系統的運能我們要提升台鐵的營運安全訂定了台鐵公司5年的行車事故目標值從113年起要逐步的降低我們期望到了117年可以讓事故率降低50%
transcript.whisperx[24].start 2403.194
transcript.whisperx[24].end 2409.8
transcript.whisperx[24].text 我們還要強化臺鐵的旅運服務我們希望準點率在短期之內能夠達到97%以上中期達到97.5%長期我們希望能夠達到99%
transcript.whisperx[25].start 2417.403
transcript.whisperx[25].end 2427.231
transcript.whisperx[25].text 另外針對高鐵的運能我們從7月起今年的7月起調整班表時刻表每週增加43班即開行1103班運能提升了4%較疫情之前提升了8.6%
transcript.whisperx[26].start 2436.448
transcript.whisperx[26].end 2451.562
transcript.whisperx[26].text 接下來針對很多委員大家都很關心的改善偏鄉公共運輸擴大幸福巴士的服務區域為了完善偏鄉地區的基本民行的需求截至9月底已經新增了32條的幸福巴士路線
transcript.whisperx[27].start 2452.583
transcript.whisperx[27].end 2457.125
transcript.whisperx[27].text 共計輔助推動172個鄉鎮共443條的路線全國偏鄉地區公共運輸的涵蓋率達到了94.37%我們將持續的依地方的特性來輔導以其達成在117年底368個鄉鎮鄉鄉有公車那這個部分當然包含了新福巴士這是我們的目標
transcript.whisperx[28].start 2478.598
transcript.whisperx[28].end 2492.956
transcript.whisperx[28].text 那福島幸福巴是固定營運的模式還有轉型成彈性的這個預約的模式並且推動偏鄉客運供載的服務截至9月份已經新增福島了共21條固定路線轉型成彈性預約的服務
transcript.whisperx[29].start 2496.3
transcript.whisperx[29].end 2508.463
transcript.whisperx[29].text 那其中有28條路線已經轉型並且已經在花蓮的濁西鄉臺中的和平區還有新竹的尖石鄉等三個地方推動了客貨供載的服務那接下來的主軸
transcript.whisperx[30].start 2515.39
transcript.whisperx[30].end 2533.187
transcript.whisperx[30].text 我們要引領運輸的科技與創新為了因應疫情的衝擊科技快速的變革全球各個產業都面臨到壓力跟挑戰交通運輸維繫著民生以及工商業界的運轉是重要的國家的基礎在面對
transcript.whisperx[31].start 2536.638
transcript.whisperx[31].end 2559.399
transcript.whisperx[31].text 國際競爭運輸系統導入的新科技是未來勢在必行的工作我們重要的工作重點有我們要推動智慧機場的建置跟服務的提升桃園的第三航廈預計在114年中要啟用北登機廊廳114年底我們要啟用第三航廈的航廈主體以及南登機廊廳
transcript.whisperx[32].start 2561.108
transcript.whisperx[32].end 2589.034
transcript.whisperx[32].text 預計增加4500萬人次的旅客量的容量並希望以科技結合人本提供旅客最優質的服務我們還要提升區域的門戶以及離島機場的服務品質臺中與高雄機場滑行道的工程已經將會在114年的4月以及115年的12月來完成改善並且完成離島的機場改造提升整體門戶的意向
transcript.whisperx[33].start 2592.984
transcript.whisperx[33].end 2602.064
transcript.whisperx[33].text 接下來我們要建制更新的飛航服務系統113年完成新一代的航空情報服務系統建制、汰換與更新
transcript.whisperx[34].start 2603.302
transcript.whisperx[34].end 2628.719
transcript.whisperx[34].text 航空氣象現代化作業系統提升危害天氣預報的精準度我們還要提升資通訊科技應用的服務桃園機場在113年的8月完成了43台自動查驗通關系統升級與設備的更新加速通關效率持續優化數位資訊整合平台提升出境通關人流的預測以及飛機延遲時間的預測
transcript.whisperx[35].start 2631.84
transcript.whisperx[35].end 2643.745
transcript.whisperx[35].text 模式精準度都要提升那我們還要升級機場的智慧物流服務系統桃園航空自由港區113年底取得國際航空運輸協會醫藥品冷鏈運輸國際認證有助於打造綠色物流通道促進生技醫療產業的發展
transcript.whisperx[36].start 2655.762
transcript.whisperx[36].end 2679.315
transcript.whisperx[36].text 那另外針對港口的部分我們也要持續的來推動智慧港口的建設我們在113年也就是今年的10月份我們全面的來啟用高雄港第7貨櫃中心可以同時停靠4艘2.4萬2大型的貨櫃輪透過新建制的遠端遙控裝卸機具設備以及智慧化的
transcript.whisperx[37].start 2680.906
transcript.whisperx[37].end 2684.757
transcript.whisperx[37].text 場櫃作業系統每年可以處理最高可以達到650萬2的貨運量
transcript.whisperx[38].start 2688.328
transcript.whisperx[38].end 2716.516
transcript.whisperx[38].text 並且我們要提升智慧航安的服務在今年底我們將會完成彰化風場航道傳播交通服務中心的大樓並且在116年新增4座雷達站涵蓋西側海域的航行空間監測海域範圍並且由目前監測的673萬平方公里擴大幅度到4000平方公里強化海域的這個航行安全
transcript.whisperx[39].start 2720.066
transcript.whisperx[39].end 2720.927
transcript.whisperx[39].text 委員會主席
transcript.whisperx[40].start 2739.073
transcript.whisperx[40].end 2762.248
transcript.whisperx[40].text 各自鐵道的雲平台以及數位基礎建設推動智慧鐵道運輸環境提升行車安全以及營運的效能另外針對未來無人機的交通領域的發展我們希望能夠推動無人機在交通領域能夠有創新的應用辦理無人機偏鄉的物流
transcript.whisperx[41].start 2764.938
transcript.whisperx[41].end 2777.465
transcript.whisperx[41].text 運送服務的驗證計畫並且在嘉義花蓮澎湖等地進行實驗的驗證113年到114年我們會循序來推動服務驗證以及商業驗證的計畫我們要推動無人機的橋樑檢測結合無人機自動化的飛行利用AI影像辨識橋樑的這個結構的劣化的情況增進橋樑的品質以及效率
transcript.whisperx[42].start 2796.004
transcript.whisperx[42].end 2818.113
transcript.whisperx[42].text 我們第三個主軸是希望能夠打造便捷而且有韌性的交通網絡交通部的使命是為民眾打造便捷台灣優質交通的環境面對極端氣候的挑戰強化運輸系統的韌性更顯得重要在公路的面向短期的目標我們希望能夠做到國三
transcript.whisperx[43].start 2819.313
transcript.whisperx[43].end 2845.231
transcript.whisperx[43].text 銜接臺66線的系統的這個交流道的通車那在前幾天我們也已經通車了並且我們會辦理國道1號、國道3號交流道拓寬的改善計畫國一甲線的基本設計也要審議完成國二甲線的延伸計畫的核定我們也希望在短期之內能夠完成那我們的中期目標是希望能夠讓淡江大橋能夠趕快通車啟動國道7號
transcript.whisperx[44].start 2848.129
transcript.whisperx[44].end 2858.708
transcript.whisperx[44].text 還有國道1號的羊頭段的拓寬蘇花安以及國道5號銜接蘇花改還有國道1號甲縣等等的中期目標我們要希望趕快來實現
transcript.whisperx[45].start 2861.525
transcript.whisperx[45].end 2877.836
transcript.whisperx[45].text 長期的目標我們希望西濱快速道路的曾文溪橋的路段能夠完工國道1的交流道還有台九線安全景觀大道的改善工程接下來還有國一國道1號台南路段的工程能夠完工
transcript.whisperx[46].start 2880.748
transcript.whisperx[46].end 2898.326
transcript.whisperx[46].text 在鐵路的面向我們重要的工作的要點短期目標我們希望能夠啟用鳳鳴的臨時站發揮桃園站與英哥站通勤之分流功能完成高雄站的商辦以及旅館大樓等等連接東西向兩側的綠園道
transcript.whisperx[47].start 2900.865
transcript.whisperx[47].end 2928.977
transcript.whisperx[47].text 中期的目標我們希望能夠完成桃園平鎮的臨時站發揮中立站的通勤運輸的分流的功能臺南市區的這個鐵路地下化的第一個階段通車將會改善到臺南市區的都市的組閣長期的目標我們希望能夠推動彰化的高架化彰化鐵路的高架化以及大台中山海線的高架立體化還有就是
transcript.whisperx[48].start 2930.527
transcript.whisperx[48].end 2951.561
transcript.whisperx[48].text 臺南延伸永康等等的計畫,我們希望能夠得到行政院的核定,能夠消除都市的阻隔,均衡區域的發展。針對都市捷運面向的工作要點,短期目標,我們希望能夠推動山陰線延伸到八德的綜合規劃,
transcript.whisperx[49].start 2952.895
transcript.whisperx[49].end 2974.503
transcript.whisperx[49].text 以及臺南捷運的第一期藍線綜合規劃的作業還有高雄捷運到岡山站已經在113年的6月30日通車中期計畫我們希望能夠完成新義縣的東延以及新北捷運三陰縣的通車提升大臺北地區捷運的便利性並且持續推動捷運西東縣環狀縣東環段
transcript.whisperx[50].start 2980.1
transcript.whisperx[50].end 2996.485
transcript.whisperx[50].text 以及基隆捷運桃園捷運中線綠線的延伸中壢台中的捷運藍線台南捷運第一期藍線等等的捷運路線長期的目標我們希望能夠推動萬大綜合樹林線的第一期桃園機場聯外機場
transcript.whisperx[51].start 2998.985
transcript.whisperx[51].end 2999.065
transcript.whisperx[51].text 接下來針對
transcript.whisperx[52].start 3015.301
transcript.whisperx[52].end 3030.929
transcript.whisperx[52].text 運輸系統韌性的部分在鐵道的這個編撥的裝置編撥監測的這個裝置上面我們要全面盤點台鐵跟公路臨近有異物容易侵入的處所總共有64處其中26處的編撥設置落實的告警系統已經在112年間全部都已經上線在監視
transcript.whisperx[53].start 3039.013
transcript.whisperx[53].end 3057.828
transcript.whisperx[53].text 那另外針對營運的路線上面選擇臨近鐵路存在車輛容易入侵而且沒有適當阻隔的路段總共有38處我們來辦理車輛入侵阻隔的設施以及告警系統的建置計畫預計在113年12月底完成設置28處114年6月全數來完成
transcript.whisperx[54].start 3063.872
transcript.whisperx[54].end 3069.074
transcript.whisperx[54].text 並且我們要檢討工程設計的規範增訂鐵路邊坡維護與管理規範草案預計在113年底完成審定落實執行路權內邊坡單元的維護管理分級並且就路權外邊坡納入優先關注以及觀察的範圍
transcript.whisperx[55].start 3089.878
transcript.whisperx[55].end 3117.494
transcript.whisperx[55].text 接下來我們針對花東的輸運計畫為了因應地震、颱風、極端氣候以及短時強降雨的影響我們希望能夠及時的提供鐵公路中斷之後的備運計畫監禁花東的輸運在陸運的部分原本鐵公路阻斷我們72小時之後才會啟動海空運的備援方案我們現在提升為3小時之內予以啟動對於空運的部分在第一時間我們就會盤點
transcript.whisperx[56].start 3119.265
transcript.whisperx[56].end 3139.698
transcript.whisperx[56].text 運輸的量能以及地勤人員的人力依災情以及鐵公路可能中斷的時間以及旅客的需求我們來協調航空公司加開班機以利民眾緊急的輸運需求針對海運的部分我們規劃要促成蘇花海運常態性的固定航線相關的做法
transcript.whisperx[57].start 3140.755
transcript.whisperx[57].end 3148.57
transcript.whisperx[57].text 並且研議鐵公路中斷時期建立海運的輸運的開口合約讓我們未來在3個小時之內就能夠啟動整個輸運的計畫
transcript.whisperx[58].start 3152.847
transcript.whisperx[58].end 3173.57
transcript.whisperx[58].text 接下來第4個主軸我們針對推動觀光產業的永續發展推動觀光品牌國際化與景區的數位化轉型打造多元旅遊的體驗透過發展綠色旅行綠色旅遊區觀光品牌以及深度旅遊致力吸引旅客吸引
transcript.whisperx[59].start 3174.571
transcript.whisperx[59].end 3198.58
transcript.whisperx[59].text 促進觀光業的這個永續發展短期的目標我們希望能夠強化臺灣的觀光品牌3.0並且啟動日韓以及穆斯林的市場的代言人例如我們前一陣子邀請了日本的影星這個戚夫沐聰等等的方式在不同的市場不同的這個深度來做不一樣的行銷並且在知名的地標例如說紐約的時報廣場
transcript.whisperx[60].start 3200.981
transcript.whisperx[60].end 3201.001
transcript.whisperx[60].text .則發言
transcript.whisperx[61].start 3223.391
transcript.whisperx[61].end 3226.394
transcript.whisperx[61].text 中長期計劃持續爭取過境旅客入境推動來源國多元簽證減變措施並持續開拓多元市場並精準行銷
transcript.whisperx[62].start 3250.834
transcript.whisperx[62].end 3279.876
transcript.whisperx[62].text 我們還要建構世界級的觀光景點推動區域觀光品牌短期的目標我們希望在12月底之前完成12件的魅力景點的創新風貌例如萬金自行車道提升國際旅遊的吸引力我們會攜手地方政府共同完成16件的亮點工程推出台灣觀光100亮點鼓勵走訪各個地方的亮點落實花東振興方案並且我們推出了
transcript.whisperx[63].start 3282.048
transcript.whisperx[63].end 3310.166
transcript.whisperx[63].text 住宿的補助以及旅運的優惠就花東地區也推出了一來再來的加碼方案中長期計畫我們希望能夠結合18個觀光圈執行成果並且重新打造7個區域的這個觀光品牌營造六處的重要的廊帶亮點擴大區域的合作結合與業界跟部會串聯鐵道、步道、鐵馬道的旅遊環境
transcript.whisperx[64].start 3314.093
transcript.whisperx[64].end 3335.147
transcript.whisperx[64].text 接下來我們要促進綠色旅遊的發展推廣永續旅遊以持續多元的方式我們要輔導我們的業者得到永續的認證同時積極跟環境部合作來推行綠色的旅宿並且逐步輔導各個管理處的轄內的業者取得綠色的旅行標章借過國際的綠色產業鏈長期優化臺灣好行以及臺灣關巴
transcript.whisperx[65].start 3340.41
transcript.whisperx[65].end 3350.744
transcript.whisperx[65].text 推動路線檢探環保以及永續化除了永續之外我們還要推動智慧景區以及數位觀光景點
transcript.whisperx[66].start 3353.001
transcript.whisperx[66].end 3376.97
transcript.whisperx[66].text 我們要成立智慧景區的數位轉型辦公室數位轉型的專案辦公室推動6處示範的智慧景區透過數位轉型以及推動景區的智慧化提升景區在管理服務以及行銷的效能我們預計在116年統一13個智慧景區的綜合管理平台並且結合AI
transcript.whisperx[67].start 3378.05
transcript.whisperx[67].end 3389.458
transcript.whisperx[67].text 擴增實境的技術以及區塊鏈的技術以及智慧管理提升旅遊安全的管理113年12月我們也辦理了觀光產業數位轉型博覽會輔導觀光業投入數位化的服務接下來第5個主軸我們是針對郵政與氣象的服務的精進
transcript.whisperx[68].start 3402.691
transcript.whisperx[68].end 3427.319
transcript.whisperx[68].text 為了要提升並且讓全民信賴的這個郵政服務作為我們的願景我們引進數位科技推動郵政物流園區智慧自動化系統另外致力於提升氣象觀測以及預報的這個技術透過先進的氣象系統來強化防災的能力為民眾提升更有效率更精準的這個氣象服務針對智慧
transcript.whisperx[69].start 3431.074
transcript.whisperx[69].end 3439.379
transcript.whisperx[69].text 郵政的物流以及自動化的部分我們推動郵政物流園區的自動化管理系統113年我們將完成自動倉儲設備驗收的啟用未來可以在園區當中集中處理全國70%以上的郵件分檢封運在園區我們將導入高效率的倉儲管理
transcript.whisperx[70].start 3457.31
transcript.whisperx[70].end 3483.262
transcript.whisperx[70].text 貨物並且加工的這個作業系統提升電商物流的處理效率並且藉由地理環境優勢結合桃園國際機場以及臺北港的物流發展與跨境的物流以發揮最大的海空運的物流的縱效針對提升氣象服務跟觀測的技術的部分我們要強化預警系統以及氣象預報的準確度
transcript.whisperx[71].start 3486.377
transcript.whisperx[71].end 3505.813
transcript.whisperx[71].text 我們要持續建置更先進的設備發展AI的氣象應用預計每年可以提升颱風路徑的預報能力達到2%我們要申辦數值天氣預報高速運算電腦的建置計畫以全球的模式天氣預報的精準度來提升到6%
transcript.whisperx[72].start 3507.908
transcript.whisperx[72].end 3523.866
transcript.whisperx[72].text 區域模式的颱風路徑一百二十四個小時以內的預報能夠精準度提升到百分之十二作為目標一百一十三年七月的凱米颱風以及十月的山陀颱風作為案例新型的AI天氣
transcript.whisperx[73].start 3525.731
transcript.whisperx[73].end 3554.93
transcript.whisperx[73].text 天氣降尺度的這個技術提供可以提供更加的颱風以及地形的交互作用有助於預報的預判114年我們將會完成雲林以及宜蘭的降雨雷達安置的裝置116年到118年我們會分別完成金馬以及馬祖的觀霧以及觀雨雷達的建置增進雷達監測的覆蓋率提升好雨以及
transcript.whisperx[74].start 3556.653
transcript.whisperx[74].end 3556.973
transcript.whisperx[74].text 委員會主席
transcript.whisperx[75].start 3578.423
transcript.whisperx[75].end 3599.634
transcript.whisperx[75].text 與縣市政府視訊連線會議山陀爾颱風期間我們也使用了這個方式來提供給各縣市政府來進行停班停課的決策的參考113年完成高雄市都會區的客製化地震預警系統預計在114年完成臺中市客製化的地震預報的預警系統
transcript.whisperx[76].start 3601.738
transcript.whisperx[76].end 3627.767
transcript.whisperx[76].text 地震的預警時效由10秒縮短至7秒地震預報的盲區由35公里縮短到25公里第6個主軸也就是最後一個主軸我們要推動近鄰碳排邁向環境的永續交通部在運輸的近鄰轉型的政策之下主要推動近鄰碳排關鍵的戰略7第7項
transcript.whisperx[77].start 3631.261
transcript.whisperx[77].end 3646.892
transcript.whisperx[77].text 運具電動化以及無碳化關鍵戰略10淨零綠生活建構低碳的運輸網路運具的電動化以及無碳化我們到113年的8月底為止電動化電動大客車總計有4014輛普及率達到38%已經達成我們113年原本預定要達成的25%的目標
transcript.whisperx[78].start 3659.781
transcript.whisperx[78].end 3672.323
transcript.whisperx[78].text 我們將推動119年的市區公車的全面電動化並且朝向129年推動小客車以及電動機車新車的市售比率達到百分之百的目標
transcript.whisperx[79].start 3674.858
transcript.whisperx[79].end 3700.573
transcript.whisperx[79].text 我們將持續完備電動車使用的環境已經在交通的運輸節點公共停車場以及國道的運輸網絡建置了公共的充電樁在今年的8月底之前已經建置完成充電樁9481槍整體的充電樁的比例以及快充的比例都符合了歐盟的建議的標準甚至有些超越
transcript.whisperx[80].start 3704.841
transcript.whisperx[80].end 3717.252
transcript.whisperx[80].text 我們還要建構低碳的運輸網路鐵路跟公路的運輸量我們在113年的上半年已經達到了10.89億人次預計在今年底將會達到21.91億人次114年跟115年我們希望能夠分別達到24.7億人次以及25.69億人次
transcript.whisperx[81].start 3727.341
transcript.whisperx[81].end 3745.378
transcript.whisperx[81].text 我們要補助地方政府的公共運輸高鐵的票價優惠以及改善台鐵的票務系統等等的措施並且推出TPAS提供民眾搭乘公共運輸我們平均以3到5折的優惠那我們統計112年7月到113年的6月全國公共的運輸量累計已經成長了11.83%
transcript.whisperx[82].start 3754.568
transcript.whisperx[82].end 3762.783
transcript.whisperx[82].text 我們還要推動海空運的檢探臺灣的海港群已經全數獲得了歐洲的生態港的認證
transcript.whisperx[83].start 3764.301
transcript.whisperx[83].end 3783.071
transcript.whisperx[83].text 並且我們要執行的是機場的減碳措施各個機場持續推動節能減碳以及再生能源的措施包括113年完成橋汽橋電太陽能光電設備更新的設置減少二氧化碳排放達到了4673公噸未來桃園以及高雄機場均已達到國際機場協會的這個碳認證
transcript.whisperx[84].start 3794.5
transcript.whisperx[84].end 3814.242
transcript.whisperx[84].text 的等級要達到4級的作為目標,辦理各項的減碳措施。我們還要推動永續的航空燃油使用,預計114年的上半年將在桃園機場以及松山機場由台灣中油公司為國籍航空首次添加永續的航空燃料。
transcript.whisperx[85].start 3815.143
transcript.whisperx[85].end 3843.651
transcript.whisperx[85].text 我們還要推動工程的檢探公務局、高工局、鐵道局分別就公路工程、國道工程、軌道工程研議訂定檢探的指引並且在114年底完成指引的目標最後交通部透過人本交通便捷臺灣發展觀光綠色運輸的策略有效的提升交通建設以及服務品質
transcript.whisperx[86].start 3845.169
transcript.whisperx[86].end 3873.064
transcript.whisperx[86].text 並且增強臺灣作為旅遊目的地的吸引力促進經濟的發展未來我們將會善用科技以及人本的關懷除了達成AI行動內閣想推動的政策之外並且實現國家希望工程的願景提供優質便於民行的服務創造更美好的交通生活以上是交通部重要的業務報告請各位委員指教支持謝謝大家
transcript.whisperx[87].start 3874.974
transcript.whisperx[87].end 3875.034
transcript.whisperx[87].text 謝謝陳部長的報告
transcript.whisperx[88].start 3881.491
transcript.whisperx[88].end 3901.664
transcript.whisperx[88].text 現在進行尋答先宣告一下事項尋答時間出席委員6加2分鐘列席委員4加1分鐘委員發言登記於10點30分截止各委員如有臨時提案請於10點前提出以便醫事人員會診暫定10點30分休息10分鐘上午尋答預計至12點15分指下午2點繼續開會
transcript.whisperx[89].start 3908.849
transcript.whisperx[89].end 3935.396
transcript.whisperx[89].text 現在請登記第一位李坤澤委員發言謝謝陳書越召委請一下陳世凱部長杜威董事長江耀宗董事長還有陳文睿局長林福山司長也上來一下杜威董事長還有陳文睿司長還有那個江董事長
transcript.whisperx[90].start 3938.393
transcript.whisperx[90].end 3947.409
transcript.whisperx[90].text 部長您好現在因為電力的調漲那台鐵跟高鐵對於票價的調漲已經有一定的討論那
transcript.whisperx[91].start 3949.69
transcript.whisperx[91].end 3975.243
transcript.whisperx[91].text 我在過去針對票價的調漲就一個重要的原則我們要向人民多收一塊錢都要以最嚴肅的態度說明清楚以及要達到預期的目標這是重要的原則那台鐵跟高鐵有跟你報告有關票價調漲的問題嗎在目前有跟你說明報告嗎
transcript.whisperx[92].start 3976.374
transcript.whisperx[92].end 3977.075
transcript.whisperx[92].text 那台鐵的部分大家
transcript.whisperx[93].start 3992.495
transcript.whisperx[93].end 4013.594
transcript.whisperx[93].text 社會已經有共識了就認為臺鐵的票價29年沒有調整那的確是已經進入有討論的空間這個部分社會基本上是能接受有討論的空間那高鐵的部分社會又有不一樣的看法那我先請教一下臺鐵杜薇董事長
transcript.whisperx[94].start 4014.994
transcript.whisperx[94].end 4032.165
transcript.whisperx[94].text 那我們現在明年的電價成本預計要增加4.56億那之前我看新聞或是相關的資料你們說大概要增加2.28億這個差距是怎樣?為什麼?
transcript.whisperx[95].start 4033.65
transcript.whisperx[95].end 4047.928
transcript.whisperx[95].text 跟委員報告這個預估有包含我們台鐵要在明年度以及現在的努力就是有兩個方向一個就是我們要努力的去節電度數把它減少
transcript.whisperx[96].start 4048.829
transcript.whisperx[96].end 4073.525
transcript.whisperx[96].text 杜董事長我在問你的是你們跟媒體講說明年的票價明年的這個電力的漲幅會增加台鐵的支出增加2.28億然後後來發覺自己搞錯了應該是增加到4.56億為什麼呢因為啊你們自己就搞混了這個電力的調漲啊他有14%還有7%還有動漲那
transcript.whisperx[97].start 4078.396
transcript.whisperx[97].end 4085.579
transcript.whisperx[97].text 你們記者在問你相關的這個電費的調整你們應該是屬於491這個代碼就是它是鐵路運輸業然後你們跟記者講的是路上運輸業是499的代碼499的代碼這個是7%
transcript.whisperx[98].start 4101.107
transcript.whisperx[98].end 4123.79
transcript.whisperx[98].text 但是鐵路運輸業是沒有這個7%的這個優惠啊你們自己就搞錯啦記者跟你們阿你們自己說這是7%的這個電費其實是14%啊杜董事長我對你們啊真的是你是個很認真的董事長沒有錯但是啊
transcript.whisperx[99].start 4126.309
transcript.whisperx[99].end 4148.027
transcript.whisperx[99].text 這種臺鐵內部的安全文化跟問題意識啊真的是讓社會大眾啊真的很失望會少一個車廂然後問你電價自己7%或14%也搞不清楚這個真的真的是要檢討那你們預計會開董事會來討論票價的調整方案
transcript.whisperx[100].start 4149.026
transcript.whisperx[100].end 4176.717
transcript.whisperx[100].text 我們現在票價的調整方案我們還在做研議做一些調整我們做好以後會提報董事會部長我對台鐵票價的調整我認為就是有討論的空間了但是你們對於安全對於準點對於電力效能的一個提升相關的這些必須要跟社會大眾講我們要做到什麼目標
transcript.whisperx[101].start 4178.135
transcript.whisperx[101].end 4193.425
transcript.whisperx[101].text 報告委員這個部分齁在台鐵跟我討論這個票價的時候我第一個要求也是這個樣子要讓社會要讓民眾感覺到服務的提升安全的提升那針對這次的電的問題也是一樣我的要求是不應該把電的漲價
transcript.whisperx[102].start 4195.026
transcript.whisperx[102].end 4217.275
transcript.whisperx[102].text 直接反映成直式的反應就是票價要調整並不是這個樣子我們要先做節電而他們的節電其實是有效率的在113年也獲得了能源局的補助臺電的補助4500多萬的補助我們也節電了1.5%左右在明年我也特別拜託經濟部的能源署要特別專案輔導臺市這個做得不好的我們來改善
transcript.whisperx[103].start 4219.082
transcript.whisperx[103].end 4233.652
transcript.whisperx[103].text 指責跟督促但是對於電力的效能的提升啊臺鐵是有在做是你們現在也要更新相關的電測線以及光纖的這些系統設備啊也要做提升那這個對於相關的
transcript.whisperx[104].start 4234.732
transcript.whisperx[104].end 4263.042
transcript.whisperx[104].text 電力的提升是可以我認為是大概可以省下大概153萬度的這個電力這個有在做啦這個相關電力跟成本等一下我們再來討論那高鐵來董事長來你們的想法是怎樣因為電價調漲我們明年大概會增加電費3億6千萬那當然高鐵的一直在
transcript.whisperx[105].start 4265.963
transcript.whisperx[105].end 4271.912
transcript.whisperx[105].text 對一些高耗能的設備一直在排放然後我們在實施駕駛的節能駕駛
transcript.whisperx[106].start 4274.611
transcript.whisperx[106].end 4274.831
transcript.whisperx[106].text 委員會主席
transcript.whisperx[107].start 4295.592
transcript.whisperx[107].end 4315.44
transcript.whisperx[107].text 針對特許連線從35年延長到70年然後政府在相關的關股以及放關股給予挹注支持讓高鐵能夠繼續的永續經營所以當初是有調整票價但是後來就又撤回
transcript.whisperx[108].start 4317.281
transcript.whisperx[108].end 4343.109
transcript.whisperx[108].text 這麼多年來我對高鐵的票價我一直堅持一個原則十幾年來都是這樣高鐵的問題是運量不是票價所以這麼多年來我們要求高鐵要設立自由做相關的優惠措施這個也成為高鐵在營運的一個重要的比例那這個部分
transcript.whisperx[109].start 4345.885
transcript.whisperx[109].end 4368.995
transcript.whisperx[109].text 我們高鐵現在在討論到票價的調整那我覺得啊人台鐵是艱苦人家在那說要調整票價社會認為有討論的空間那你高鐵看人吃米粉你也在那化修也要說一下存在感說我們也要調整相關的票價我們目前還沒有提出最好是這樣
transcript.whisperx[110].start 4371.465
transcript.whisperx[110].end 4398.578
transcript.whisperx[110].text 部長我認為在明年的農曆春節之前相關的高鐵跟台鐵尤其是高鐵這個票價讓社會來討論你們也必須在明年的農曆春節之前必須要提出具體的我們針對台鐵的安全性針對台鐵的準點服務的效率相關電力的一個提升我們有什麼具體的做法
transcript.whisperx[111].start 4400.419
transcript.whisperx[111].end 4423.194
transcript.whisperx[111].text 要跟人民多說一塊錢都是很嚴肅的事情對,我們會清楚做好說明好,那我們剛才討論到相關的電費的問題啊我們電費啊,我們來看依照台鐵公司的預算書還有高鐵的年度財務的這樣一個報告書台鐵電費的總支出是29億那佔營業支出是6.6高鐵的電費總支出是24億它佔營業支出是8.7
transcript.whisperx[112].start 4430.407
transcript.whisperx[112].end 4446.602
transcript.whisperx[112].text 那現在電費要調整那高鐵台鐵預估要增加4.56億就是支出會再增加1%那高鐵會增加3.2億到3.6億這是預估支出會再增加1.15%但是
transcript.whisperx[113].start 4449.943
transcript.whisperx[113].end 4470.828
transcript.whisperx[113].text 部長,台鐵跟高鐵的營業收入不一樣,台鐵的今年上半度營收是157億,那對比去年增加了大概10億高鐵蠻強的,今年上半營收就265億,對比去年增加了20億
transcript.whisperx[114].start 4472.568
transcript.whisperx[114].end 4473.228
transcript.whisperx[114].text 委員會主席
transcript.whisperx[115].start 4490.612
transcript.whisperx[115].end 4490.732
transcript.whisperx[115].text 主席
transcript.whisperx[116].start 4510.831
transcript.whisperx[116].end 4517.075
transcript.whisperx[116].text 高鐵的營收是跟運量有關當然營收是有成長營運成本也是成長現況是這樣
transcript.whisperx[117].start 4541.471
transcript.whisperx[117].end 4562.144
transcript.whisperx[117].text 那新北市大概是28%那新北市以南都是個位數我們要提升這種大眾運輸的市佔率台北37%你以為很高嗎你知道東京香港新加坡八成以上
transcript.whisperx[118].start 4564.203
transcript.whisperx[118].end 4592.421
transcript.whisperx[118].text 韓城的首爾韓國的首爾也有56%以上我們的大眾運輸我們要鼓勵民眾去使用大眾運輸然後票價調整是很嚴肅的事情你票價調整那民眾就說那麼貴那我就不要使用大眾運輸了大眾運輸要鼓勵大家去使用這個我們特別注意這個要特別注意我們對於列車準點安全改善服務品質能源效率的短中長期目標
transcript.whisperx[119].start 4593.662
transcript.whisperx[119].end 4614.584
transcript.whisperx[119].text 都要落實而且提出改善的目標你才有調整票價的依據了所以部長在明年春節以前臺鐵的票價不會去做變動嗎春節之前不會高鐵都不會嘛高鐵我目前還沒有看到報告高鐵還沒有提案還沒有提案那就想提案
transcript.whisperx[120].start 4617.574
transcript.whisperx[120].end 4635.453
transcript.whisperx[120].text 我們希望高鐵還是要負起公共運輸的責任因為政府幫高鐵非常大的忙特許年限35年延到70年這是2015年還有相關的採改關股放關股的挹注這個社會責任高鐵其實
transcript.whisperx[121].start 4638.479
transcript.whisperx[121].end 4638.999
transcript.whisperx[121].text 李坤澤委員林珮祥委員
transcript.whisperx[122].start 4671.464
transcript.whisperx[122].end 4678.622
transcript.whisperx[122].text 謝謝主席有請部長還有航港局的還有航港局的局長跟民航局的局長
transcript.whisperx[123].start 4691.237
transcript.whisperx[123].end 4700.364
transcript.whisperx[123].text 委員長,針對最近中國大陸的軍演,把整個台灣的航道全部封鎖,不管是空運還是海運,他們現在所有的航道全部封鎖。
transcript.whisperx[124].start 4711.372
transcript.whisperx[124].end 4711.752
transcript.whisperx[124].text 包括委員
transcript.whisperx[125].start 4728.599
transcript.whisperx[125].end 4743.649
transcript.whisperx[125].text 這一次他們的軍演他們是有這樣的計畫跟說法但實際上對於我們實際的這個民航的航班跟我們的船舶的運輸完全沒有受到任何的影響所以那天我也特別發了一個新聞稿跟社會大眾說目前是沒有受到任何的影響
transcript.whisperx[126].start 4744.309
transcript.whisperx[126].end 4769.369
transcript.whisperx[126].text 那他們在演習的過程當中如果民航會受到影響他們也會事先先告知那這一次他也確實是沒有特別告知這件事情那我們跟這個配合國安單位以及這個海巡單位我們在海岸上面看到的其實也真的對我們的這個航運是沒有任何的影響不過委員你這個提醒是很重要的如果事情真的發生的時候交通部我們所屬的包含民航
transcript.whisperx[127].start 4769.949
transcript.whisperx[127].end 4774.354
transcript.whisperx[127].text 所以說這次演習之前其實兩邊其實某個程度有一定程度的默契不要影響到民生不要影響到貨運的進出對吧
transcript.whisperx[128].start 4790.363
transcript.whisperx[128].end 4805.155
transcript.whisperx[128].text 這個有沒有默契我不曉得但是以結論來看以結論來看確實是沒有影響到他們的演習的過程對我們的所有的航班都正常的起降那我們所有的航道上面的船舶也都正常的進出這個部分是沒有問題不過在這中間演習的時候現在房間都在傳有關有一個LNG船
transcript.whisperx[129].start 4812.361
transcript.whisperx[129].end 4816.363
transcript.whisperx[129].text LNG船的部分我之前有看到媒體在報導這件事情但實際上有嗎?
transcript.whisperx[130].start 4831.854
transcript.whisperx[130].end 4855.71
transcript.whisperx[130].text LNG船應該因為後來中友有跑出來講說這個LNG船提早到了那我的我要問的最主要目的是因為說假設真的有任何的疏失那不要講疏失有任何的意外那LNG船來到我們的港口現在目前只有台中港那目前可是其他港口的話如果這個LNG來的目的是為了電力的供給
transcript.whisperx[131].start 4857.393
transcript.whisperx[131].end 4880.254
transcript.whisperx[131].text 這部分是對我們國安市有相當大的問題所以我這邊想請教部長您對這件事情的看法如何這件事情我們後來查證或許是沒有這件事應該是媒體有媒體的報導但媒體的報導它並不具真實性所以實際上並沒有這件事情那當然如果是真的影響到這個東西當然對於台灣的能源是會受到非常大的影響
transcript.whisperx[132].start 4880.994
transcript.whisperx[132].end 4908.272
transcript.whisperx[132].text 那目前這次的演習我們看起來我剛剛也跟委員報告過我們所有的這個船舶的航班都沒有問題進出也都順利所以這個訊息或許是媒體的誤報是跟委員再補充報告一下一般LNG船的話大概10天或7天他會來台中港那他進台中港的時候他會看那個海象那這一次的話我們是這個演習的區域沒有收到
transcript.whisperx[133].start 4908.832
transcript.whisperx[133].end 4933.727
transcript.whisperx[133].text 因為他那個那個坐標一般如果有的話他會很清楚航港局他會跟我們講我們會跟相關的所有航商請他們繞道為什麼我特地注重這個事情因為不管是海港也好空港也好等於是一個國家的肝臟要是出事情就是大事沒事就是好事出事就是大事所以我特地把這個航道這件事情拿出來這邊做討論希望未來部長
transcript.whisperx[134].start 4936.93
transcript.whisperx[134].end 4953.485
transcript.whisperx[134].text 很尷尬上次我也問過李孟彥部長這個問題不過我特地每次都會如果有這方面的事情我都會特地關注航道的問題因為這是我們國家最重要的事情不管經濟也好各方面也好好再來一個議題就是說我最近看到也是看到媒體上面講說我們好像針對這個運輸業管理規則跟客貨運價準則也要做修正是嗎
transcript.whisperx[135].start 4960.226
transcript.whisperx[135].end 4988.747
transcript.whisperx[135].text 委員您所提的應該是針對這個外送平台我們有做這方面的我先把這個定調其實我對這個事是肯定的這個不是壞事這是好事但是尷尬的是說這樣講你確認一個你去設定一個明確的計算公式然後把這個最低的薪資把這外送員最低薪資把它扣下來把它確定住這不是壞事外送員有很多很多有很多很多的困難
transcript.whisperx[136].start 4989.247
transcript.whisperx[136].end 5015.838
transcript.whisperx[136].text 也遇到很多很多的問題需要公部門去幫他們解決那這是第一步這絕對是好事但是我也必須從這個比較務實的角度來看羊貓出賽羊身上我們把這個計算公式出去之後把這個業者成本提高通常就會轉嫁在消費者身上我必須把這句話講清楚像是說目前來講我們知道平台他們有對於這個對於消費者收所謂的服務費
transcript.whisperx[137].start 5016.778
transcript.whisperx[137].end 5030.976
transcript.whisperx[137].text 但是我為什麼聽到所謂的樓層費這玩意?有聽過樓層費嗎?報告委員目前的修訂是這個樣子啦交通部其實不會管到這個外送員他們的薪資的部分
transcript.whisperx[138].start 5031.917
transcript.whisperx[138].end 5050.738
transcript.whisperx[138].text 交通部能夠管的是運費的部分那我們運費的處理是這樣子我們運費的處理是叫做透明化啦我們在處理的過程其實叫透明化讓消費者也好或者是外送員也好或者是平台也好大家把運費能夠透明讓大家知道知道透明的運費是多少再來針對樓層費或者是說等待費用
transcript.whisperx[139].start 5053.721
transcript.whisperx[139].end 5080.275
transcript.whisperx[139].text 這些是得就是可以可以用這個來作為計費的可能性但到時候平台要不要用那是平台自己決定再來最後一點是我們針對這個定價的部分是讓消費者然後外送的這個外送員以及公司然後地方政府當然也加我們的公路局我們五方共同來討論來協定所以各方會有平衡的意見在裡面
transcript.whisperx[140].start 5082.096
transcript.whisperx[140].end 5082.516
transcript.whisperx[140].text 主席主席
transcript.whisperx[141].start 5100.268
transcript.whisperx[141].end 5101.309
transcript.whisperx[141].text 區域的不平衡有兩方面一方面是都市跟鄉村
transcript.whisperx[142].start 5115.816
transcript.whisperx[142].end 5139.754
transcript.whisperx[142].text 因為現在都市跟鄉村的話都市基本上使用率比較高鄉村使用率比較低變成說比較多的外送員會願意到都市去反而鄉村需要送的時候沒有人這是一個區域上的問題第二個問題是在於說假設基隆跟台北如果說計算公式出來基隆比較低台北比較高覺得說外送人員全部都跑到台北去基隆反而外送人員少
transcript.whisperx[143].start 5140.394
transcript.whisperx[143].end 5167.857
transcript.whisperx[143].text 會不會造成所謂的不平衡這點我是希望說要交通部要注意報告委員這個部分其實定價的部分到時候是各縣市自己定我剛才在講的五方平台包含消費者包含外送員包含這個外送公司平台包含縣市政府包含公路局然後每個縣市由每個縣市的狀況自己下去定那這個部分其實也有它商業機制存在其實我會覺得我會建議部長說針對這個案子這是個好的修法
transcript.whisperx[144].start 5168.517
transcript.whisperx[144].end 5179.288
transcript.whisperx[144].text 這是我必須講這是好的修法去保障這些外送人員權益這是好的修法但是可是我沒有跟大眾好好討論過我會覺得是說難的話在這邊在交通部那邊做個專題報告然後針對這個案子我們來好好
transcript.whisperx[145].start 5185.833
transcript.whisperx[145].end 5209.538
transcript.whisperx[145].text 這個建議很好我也覺得這件事要大家好好討論現在是預告期啦緩一下因為這個是很重要的法聽起來很小可是因為我們現在是雙薪家庭多會話事情越來越多而且老實講現在大家都成本的時候這個法人越來越省越來越大越來越方便但是如果說保障他們的話那這個案子就應該所有相關人士全部進來大家來坐下來討論然後緩一點事緩則遠
transcript.whisperx[146].start 5212.099
transcript.whisperx[146].end 5212.579
transcript.whisperx[146].text 謝謝林培祥委員
transcript.whisperx[147].start 5241.109
transcript.whisperx[147].end 5267.024
transcript.whisperx[147].text 接下來邀請林國成委員好主席請陳部長請陳部長還有我們林司長黃司長請來扶臂一下吧林司長黃司長也上來黃司長也上來
transcript.whisperx[148].start 5277.982
transcript.whisperx[148].end 5294.117
transcript.whisperx[148].text 部長早委員早我特別還要請教一下因為今天我們書面報告跟你口頭報告口頭報告的資料部長是你有看過沒有口頭報告我剛剛報的有啊是
transcript.whisperx[149].start 5296.223
transcript.whisperx[149].end 5323.343
transcript.whisperx[149].text 這個是你自己看過要這樣報告:或者幕僚給你的報告我們當然是跟我們的幕僚大家討論出來的結果那你是有看過有看過那代表我們交通部的業務報告基本上是進步的因為我非常重視如果把去年的一字不落就送到這裡來
transcript.whisperx[150].start 5324.983
transcript.whisperx[150].end 5351.469
transcript.whisperx[150].text 我是專門在推報告的委員但是我看過我也覺得你這個內容是跟你要做跟事實是蠻接近的所以在這裡當然因為第一步要對你口頭報告這些把它連結起來這個要加以肯定那我們一再強調我在立法院我是講究理性問政
transcript.whisperx[151].start 5352.949
transcript.whisperx[151].end 5375.189
transcript.whisperx[151].text 對就對不對就不對我是對事不對人所以好的我們也會利用我們寶貴時間特別稱讚你們一下那另外一個部長我想我要特別跟你談一個就是說高齡事故頻傳銀華族上路很難安心這個議題
transcript.whisperx[152].start 5376.897
transcript.whisperx[152].end 5392.93
transcript.whisperx[152].text 我要跟你談這個議題最主要是臺灣已經慢慢邁向高齡化社會我想部長當過市議員你最清楚嘛在基層裡面高齡化的問題他不是只有照顧
transcript.whisperx[153].start 5394.363
transcript.whisperx[153].end 5404.109
transcript.whisperx[153].text 他未來在交通裡面大家可以看為什麼我請兩位司長要上來虎斃第一個就是我們一定要面對這個問題嘛面對這個問題所以我們面對問題解決問題預防問題
transcript.whisperx[154].start 5412.395
transcript.whisperx[154].end 5438.035
transcript.whisperx[154].text 這樣未來在整個交通事故以及政策在制定的時候就不會有落差所以我今天要跟部長談的就是未來高齡化的這些第一個我想請教的因為我們在106年開始75歲以上我們的駕照問題這個部分到底實施的怎麼樣
transcript.whisperx[155].start 5439.744
transcript.whisperx[155].end 5454.858
transcript.whisperx[155].text 下照的部分齁我們75歲以上應該現在都有在再回來再考然後他不是在考啦要不是在考 換照啦他在換照然後我們也會再檢驗他的反應的狀況跟身體的狀況這些都有做檢視
transcript.whisperx[156].start 5455.979
transcript.whisperx[156].end 5471.167
transcript.whisperx[156].text 可是現在當然還是有人認為在這裡是比較嚴苛因為我們現在藍米之壽命確確實實都不斷在延長這也代表說我們的移民是越來越高的
transcript.whisperx[157].start 5471.707
transcript.whisperx[157].end 5494.651
transcript.whisperx[157].text 在這個部分我還是要拜託部長要去重視這些他們的權利不要因為憐憫而喪失他對於駕駛的權利這個部分我想部長報告委員他們駕駛的權利這個我們要保障那另外就是安全的部分我們也希望讓他更安全
transcript.whisperx[158].start 5495.131
transcript.whisperx[158].end 5524.052
transcript.whisperx[158].text 這個我同意這個我同意對對如果是勢力啊反應啊各方面他完全都還複合的話不是用年齡來衡量那當然也不是對看身體狀況這點我認為我們基本上我們是支持但是你在整個規劃的當中我還是要呼籲這些高齡駕駛的問題我們不能否認他的肇事力高
transcript.whisperx[159].start 5524.813
transcript.whisperx[159].end 5549.447
transcript.whisperx[159].text 但是在這個部分還是要折衷一個比較通融有可能的這些方案一定要去做政策所以林市長可能這個你要特別去注意一下那另外一個就是其實我還是要建議部長在規劃整個高齡的這些交通替代方案我坦白講
transcript.whisperx[160].start 5550.848
transcript.whisperx[160].end 5566.184
transcript.whisperx[160].text 都會刑沒有問題但是現在你也從中部上來中南部是比較嚴重為什麼比較嚴重因為他的交通設施不嚴密所以他逼的雖然我驗不夠
transcript.whisperx[161].start 5567.225
transcript.whisperx[161].end 5582.824
transcript.whisperx[161].text 但是我非得一定要開車所以變成什麼造勢力就會高可是這個是一個問題喔你去看一看開到山路以後往山崖下墜的通通都是高齡為什麼
transcript.whisperx[162].start 5584.385
transcript.whisperx[162].end 5605.905
transcript.whisperx[162].text 這個就是說你們在把關但是他在地方他沒有辦法我沒有交通你說在我們台北市沒問題啊我們交通那個非常方便啊對在台中市沒有問題啊可是你到梨山那邊去就不一樣啊所以在這個部分我主要提出這個問題是一
transcript.whisperx[163].start 5608.953
transcript.whisperx[163].end 5629.603
transcript.whisperx[163].text 高齡社會來臨第二在制定交通的安全以及教導的部分這個部分也要去做所以部長這個我特別來提醒你一下所以這個部分他的交通方案替代方案我們現在在推的就是幸福巴士希望每一個鄉村都能夠有公共運輸到達讓他不一定要開車
transcript.whisperx[164].start 5630.963
transcript.whisperx[164].end 5651.136
transcript.whisperx[164].text 現在就是在北部沒有問題都會型沒有問題尤其中南部比較偏遠地區是真的要針對這個問題去想辦法去解決所以這個我要特別拜託部長你在政策方面指導政策決定的時候要把它納入一個重點工作
transcript.whisperx[165].start 5651.556
transcript.whisperx[165].end 5677.103
transcript.whisperx[165].text 好不好部長我當時在擔任議員的時候也時常爭取因為我的選區比較鄉下時常爭取公車要開到醫院的公車讓長者要就醫方便或者開到公所讓他們要辦公比較方便這樣子沒有啦我一向主張啊做任何政策未以籌謀啦不要頭痛醫頭啦交通的問題是要長遠規劃所以這個特別要部長你做政策性的
transcript.whisperx[166].start 5678.964
transcript.whisperx[166].end 5699.876
transcript.whisperx[166].text 這個決策要去好好研究現在我們就開始要研究面臨一年兩年以後十年以後我們會變成怎麼樣這樣再制定法令才沒有才不會有百密一疏把大意是金週的這些政策把它撕掉所以我要免利部長對高齡友善的大眾運輸我們會來努力
transcript.whisperx[167].start 5702.558
transcript.whisperx[167].end 5714.828
transcript.whisperx[167].text 最後我利用一點時間可能要提供微型電動二輪車散路的問題,這個也是問題耶,保證,我們說實在的,這個部分是非常嚴重,非常嚴重喔,所以
transcript.whisperx[168].start 5721.434
transcript.whisperx[168].end 5744.719
transcript.whisperx[168].text 你說杜蕙琴這個問題也沒有因為他有一百科啊有什麼杜蕙琴都沒有問題現在比較有問題還是中南部的偏遠地區但是在這裡我有一個資料也就是我們規定在今年10月29日也是從這個部分要截止
transcript.whisperx[169].start 5745.748
transcript.whisperx[169].end 5768.508
transcript.whisperx[169].text 管理要截止登記要截止但是這個部分那你們要考慮一下我不曉得為什麼設在11月29我不曉得但是我認為這些登記就登記怎麼會有實現兩年的時間兩年的時間各位委員報告因為儲管條例修正把這個微型電動二輪車要領牌要掛牌
transcript.whisperx[170].start 5768.928
transcript.whisperx[170].end 5784.985
transcript.whisperx[170].text 那當時修法的時候有給兩年的這個緩衝那到今年10月30號就是說大家使用中的原來就有的部分要完成這個領牌的作業那現在公務總局各區建議所也在下鄉加強這個部分協助民眾來完成領牌的作業
transcript.whisperx[171].start 5786.026
transcript.whisperx[171].end 5798.311
transcript.whisperx[171].text 市長 局長你們可能特別要注意一下我們在這裡從9月份的計算來 部長可能還是要了解一下北部第7只有60萬台 65萬倒是只有40%
transcript.whisperx[172].start 5805.473
transcript.whisperx[172].end 5828.505
transcript.whisperx[172].text 有來登記的只有40%台中地區62%高雄地區47%也代表什麼越偏遠地區他越不願意去登記這些所以我也要拜託一個就是登記管理有管理就有安全就有制度你沒有管理當然沒有
transcript.whisperx[173].start 5829.285
transcript.whisperx[173].end 5833.409
transcript.whisperx[173].text 另外一個當然可能不登記的原因就是宣導不夠為什麼宣導不夠因為我怕繳稅
transcript.whisperx[174].start 5837.816
transcript.whisperx[174].end 5858.733
transcript.whisperx[174].text 所以這些東西繳稅是國民義務這頂多是多少所以在繳稅的部分當然牽涉到這個繳稅所以人民就很簡單多一塊錢少一塊錢他當然會計較所以在這個部分我還是要拜託宣導勝過以任何宣導勝過以任何還有最後一個當然這些電動車
transcript.whisperx[175].start 5864.358
transcript.whisperx[175].end 5864.638
transcript.whisperx[175].text 委員會主席
transcript.whisperx[176].start 5881.932
transcript.whisperx[176].end 5883.472
transcript.whisperx[176].text 接下來邀請許智傑委員質詢
transcript.whisperx[177].start 5920.835
transcript.whisperx[177].end 5949.796
transcript.whisperx[177].text 首先謝謝樹葉、趙偉跟新存的協助主席我們現在請部長請陳部長部長好委員早現在那個特斯拉以及那個無人計程車已經上路了不知道部長知不知道
transcript.whisperx[178].start 5951.105
transcript.whisperx[178].end 5968.576
transcript.whisperx[178].text 有聽說這個事情那台灣在那個我們沙倫那邊有自駕車系統的基地那另外以前我們高雄市呢也有事辦這個無人公車的搭乘那目前就是說
transcript.whisperx[179].start 5970.256
transcript.whisperx[179].end 5985.325
transcript.whisperx[179].text 在世界我就看到已經有無人計程車已經開始上路那這個議題其實我也要求了很多次了就是說到底我們現在交通部在這一部分的進度那有沒有掌握
transcript.whisperx[180].start 5987.078
transcript.whisperx[180].end 6005.211
transcript.whisperx[180].text 報告委員,這個自駕車的部分,它主要推廣或者說未來的商業發展的部分,它主要主管的是經濟部但是對於交通部來說,對於這個法規面的管理是交通部應該要做的,那這個部分我們也正在努力
transcript.whisperx[181].start 6005.891
transcript.whisperx[181].end 6034.598
transcript.whisperx[181].text 不過對於自駕的系統雖然它的主責是在經濟部不過對我們來說公共運輸的部分的自駕是我們比較關注的所以過去呢從一百零八年民國一百零八年到現在我們總共投入了一億四千萬補助了六個地方政府包含剛剛委員所說的齁臺南齁彰化臺中新竹桃園以及新北齁我們有補助他們做這個自駕車的這個沙盒的這個驗證的服務啦齁這個部分是交通部所做的齁
transcript.whisperx[182].start 6035.518
transcript.whisperx[182].end 6036.298
transcript.whisperx[182].text 到目前為止是這樣子。
transcript.whisperx[183].start 6058.326
transcript.whisperx[183].end 6075.825
transcript.whisperx[183].text 4年計畫23億但實際上合定是24億那它不是針對自駕系統它是全部的智慧運輸系統當然這個有很多也很重要因為你們的報告我有看包括那個鐵路的安全的監控沒錯沒錯上一次我跟鐵路局問過他們也講說那個AI還要學習
transcript.whisperx[184].start 6079.288
transcript.whisperx[184].end 6099.224
transcript.whisperx[184].text 對還要一段時間沒那麼快但是也不需要那麼久是啊沒錯我希望說這個時間上部長可以要求一下好我們會加速那另外就是說剛剛也提到就是說這個其實在法規面是沒錯啦是那你可以看美國跟日本跟德國他們在這一部分的法規面都已經訂出了不少了是
transcript.whisperx[185].start 6100.014
transcript.whisperx[185].end 6118.02
transcript.whisperx[185].text 那我們的呢?我們目前自駕公車實驗的運行的安全的指引我們在今年底會完成這個部分是我們正在努力的部長我先讓你簡單的比較你看美國包括自駕車的法案然後日本就是他們都有道路運輸車輛法
transcript.whisperx[186].start 6119.881
transcript.whisperx[186].end 6120.021
transcript.whisperx[186].text 實驗條例實驗條例
transcript.whisperx[187].start 6135.424
transcript.whisperx[187].end 6153.831
transcript.whisperx[187].text 委託那個研究計畫目前在訂定自駕車安全指引所以我要讓部長看到的是在這個法規面還離很遠我們還是落後這個要加強我說的就是特斯拉已經無人計程車上路了那台灣或者是世界的流行
transcript.whisperx[188].start 6154.611
transcript.whisperx[188].end 6155.691
transcript.whisperx[188].text 臺灣跟日本美國德國比較之下
transcript.whisperx[189].start 6170.876
transcript.whisperx[189].end 6171.916
transcript.whisperx[189].text 法規完備才有辦法上路,所以這個部分我們會來加強
transcript.whisperx[190].start 6190.558
transcript.whisperx[190].end 6213.56
transcript.whisperx[190].text 那再來就是觀光觀光人口我知道部長那個來台旅客的目標不是當時不是你訂的啦是是是那一開始是訂我們今年要1200萬那下修為1000萬到9月底觀光人次目前的統計大概有550萬
transcript.whisperx[191].start 6216.585
transcript.whisperx[191].end 6242.636
transcript.whisperx[191].text 顯然這個目標達不到到現在今天早上我問的數據是差不多到580幾萬嘛到現在啦580幾萬當然對我們來說到年底要達成1000萬的目標是很辛苦不過坦白講前線的同仁們還在努力我作為部長我不太好直接說不能說達不到不能說達不到但確實是很辛苦對啦其實
transcript.whisperx[192].start 6243.957
transcript.whisperx[192].end 6244.518
transcript.whisperx[192].text 我這樣跟我們部內的同仁講
transcript.whisperx[193].start 6260.157
transcript.whisperx[193].end 6262.017
transcript.whisperx[193].text 我本來是想問你說你現在打算講說明年要幾百萬還是一千萬
transcript.whisperx[194].start 6286.303
transcript.whisperx[194].end 6293.404
transcript.whisperx[194].text 一千萬還是一千萬還是當我們無法達標的時候下一個目標就是以沒達標的那個作為目標
transcript.whisperx[195].start 6294.386
transcript.whisperx[195].end 6321.162
transcript.whisperx[195].text 那你不能一直下修啊不會下修就一樣是1000萬那今天大概可以達到750萬我們在努力當中我們提出一些具體的建議就是說你可以看到我們之前公共署其實也蠻認真的有做了很多的配套的希望能夠增加跟回流的方案比如說高鐵合作的方案比如說代言人的方案那還有跟航空公司促銷的方案還有抽獎
transcript.whisperx[196].start 6322.623
transcript.whisperx[196].end 6350.65
transcript.whisperx[196].text 其實這些觀光署很認真在做我也知道那我們有做的就是先感謝跟鼓勵啦但是沒有辦法做到的是或者是有機會我們在哪裡沒有想到的我們可以再加強的我們也應該也給觀光署跟交通部一些建議比如說你看那個我們的免簽國家現在泰國跟菲律賓是免簽是事辦免簽那
transcript.whisperx[197].start 6352.523
transcript.whisperx[197].end 6352.883
transcript.whisperx[197].text 委員會主席
transcript.whisperx[198].start 6370.114
transcript.whisperx[198].end 6398.867
transcript.whisperx[198].text 中國的企業都往東南亞去發展有很多那這個部分東南亞將來其實他們從未開發國家到開發中國家這個進步的階段事實上應該他們會經濟會成長不少所以吸引這邊的觀光客我是覺得非常的重要所以呢對於印度印尼越南緬甸柬埔寨寮國等等有沒有可能我們可以事辦免簽有條件免簽
transcript.whisperx[199].start 6400.968
transcript.whisperx[199].end 6428.402
transcript.whisperx[199].text 這個部分其實對臺灣的旅遊業絕對有幫助對我們的觀光絕對有幫助所以我們積極來跟外交部來協調這件事決定權會是在外交部但是我們積極來跟他們協調當然免簽有免簽的優點跟缺點但是你也不能因業廢死所以要做一個最完整的調配所以我是建議就是說免簽國家可以再試辦那包括行銷航線那甚至以前有觀光組提年我不知道部長知不知道
transcript.whisperx[200].start 6429.605
transcript.whisperx[200].end 6429.785
transcript.whisperx[200].text 設定主軸
transcript.whisperx[201].start 6447.385
transcript.whisperx[201].end 6471.967
transcript.whisperx[201].text 有主軸有多元這樣子會比較容易focus我們過去曾經辦過自行車方面的年嘛我們其實今年也有啦我們在日月潭應該是12月的時候要辦環髮環髮的自行車賽的挑戰賽在日月潭我們也會辦這樣的活動沒關係我們的意思不只是自行車啦我知道要辦一個主題年以前是每一年有一個觀光主題年
transcript.whisperx[202].start 6472.608
transcript.whisperx[202].end 6472.688
transcript.whisperx[202].text 主席
transcript.whisperx[203].start 6491.088
transcript.whisperx[203].end 6520.383
transcript.whisperx[203].text 所以我是建議這個觀光組提名還可以再恢復那另外就是賣食產業我想展覽會經濟我今天就不談太多了改天再談那也就是說這些東西是不是請交通部可以思考觀光組可以思考就是說除了我們之前的提升方案之外我給這些具體的建議希望說也能夠去思考那也能夠最終達到我們一千萬的目標甚至一千二的目標我們還可以再繼續努力
transcript.whisperx[204].start 6520.563
transcript.whisperx[204].end 6521.184
transcript.whisperx[204].text 許智傑委員林俊憲委員
transcript.whisperx[205].start 6541.893
transcript.whisperx[205].end 6556.923
transcript.whisperx[205].text 感謝主席本席邀請我們交通部陳世凱部長請陳部長我們高工局的趙局長請趙局長我們港港局的葉局長請葉局長和路政司的林司長請林司長
transcript.whisperx[206].start 6568.578
transcript.whisperx[206].end 6585.046
transcript.whisperx[206].text 現在港務局要開始實施動態地棒了那你現在動態地棒其實他要先做的應該是源頭管理就是說他在在港在港港裡面在港務局
transcript.whisperx[207].start 6586.167
transcript.whisperx[207].end 6607.297
transcript.whisperx[207].text 香港局應該要先做好你源頭管理就是進來的貨櫃你到底有沒有操縱然後他如果記錄再傳遞過來那現在因為沒有所以目前你高空局你就在實施動態地棒所以造成現在高速公路上的地棒站車輛會大排長龍趙局長你知道吧
transcript.whisperx[208].start 6612.11
transcript.whisperx[208].end 6640.087
transcript.whisperx[208].text 要請局長跟委員報告我們現在有在做一個偵測就是說基本上就是說有回賭我們就會暫時停棒因為因為你高空局你要上下上下都要配套要做好然後你才開始來實施嘛那你現在高空局先實施高速公路你看你看那個貨櫃車你看排排了多長所有貨櫃車都大排長龍了那排幾百公尺都有排了準備進入地棒站啊
transcript.whisperx[209].start 6641.598
transcript.whisperx[209].end 6667.532
transcript.whisperx[209].text 那你這樣會造成什麼樣最大的危險就是交通嘛地棒站是非常危險的一個地段他很容易發生車禍部長是你知道我查過去5年就好了過去5年在地棒站發生了車禍就有將近就有2000跨2100件
transcript.whisperx[210].start 6671.104
transcript.whisperx[210].end 6696.577
transcript.whisperx[210].text 每一年都有400件車禍發生在地棒站然後過去5年在地棒站車禍撞死了有8個人受傷的有263個人那你現在又搞這個自己搞自己的你弄一個動態地棒站你再回來看那個照片在地棒站大排長龍車你看到沒有
transcript.whisperx[211].start 6699.147
transcript.whisperx[211].end 6709.184
transcript.whisperx[211].text 所以這個你應該要先配合那個 韓港局基本上韓港局你現在你現在就是對於進口的貨櫃是不是全部都要過半
transcript.whisperx[212].start 6710.697
transcript.whisperx[212].end 6730.652
transcript.whisperx[212].text 未來?對,包委員,進口貨櫃的部分,我們會建立一個進口的操縱櫃的篩選系統,那已經預計在11月底就會完成。部長,他就是說,他現在進口的禮拜會去每天他就要櫃房了。對,沒錯。對不對,那如果操縱的,你要怎麼辦?叫他拆櫃?
transcript.whisperx[213].start 6732.294
transcript.whisperx[213].end 6758.499
transcript.whisperx[213].text 對,操縱呢,我們會警示這個貨櫃車的駕駛,然後在這個門哨的路口,也會把他攔下來,那他就出不去嘛,對,然後會進行拆櫃,對不對,他拆櫃嘛,或者是你不拆,那你就扣留他嘛,就壓櫃嘛,對不對,不會讓他出港區,就不讓他出港區嘛,所以,那這樣的紀錄傳過來,你在高速公路上,需要進棒去蹭的車輛就少了啦,
transcript.whisperx[214].start 6759.69
transcript.whisperx[214].end 6779.377
transcript.whisperx[214].text 基本上操縱的貨櫃幾乎出不來了啦,是不是這樣子?那你到時候在高速公路上需要被叫進來過放的車子就很少那你現在沒有,你現在沿途管理都還沒開始啊,你高空局你要叫
transcript.whisperx[215].start 6780.277
transcript.whisperx[215].end 6792.723
transcript.whisperx[215].text 現在他車子叫進去的狀況是這樣他過那個他過行動的地棒站行動地棒站當他超過了其實我們還是有個寬容值寬容值原本是10%那過的時候我們是拉到20%超過20%的才會進地棒站沒有超過20%不會進地棒站
transcript.whisperx[216].start 6803.909
transcript.whisperx[216].end 6828.841
transcript.whisperx[216].text 但是就是 車子就 你要有彈性嘛 因為你現在在示範嘛你不要影響到交通安全 行車安全沒有到那麼多啦沒有啦 你就不要造成行車的 行車的安全安全的危險嘛那就是說 有排隊過場的時候 我們馬上就停止你要馬上停止嘛只是這個是很正確啦 如果真的造成擁塞 或者是排隊的狀況 那就要馬上停止 這不可以再繼續
transcript.whisperx[217].start 6830.782
transcript.whisperx[217].end 6859.169
transcript.whisperx[217].text 現行貨櫃幾乎不用過放你知道嗎?這個我曉得啦 這樣就很容易發生錯誤了啦現在比較特殊的是這樣因為現在很多貨櫃跟過去不一樣過去很多貨櫃都是從港出來的或者是說從碼頭出來那你港匯局先處理好對 這個好管制但現在有很多的貨櫃是直接在內陸運輸啦不是真正在海外運輸的這個部分反正啦
transcript.whisperx[218].start 6860.65
transcript.whisperx[218].end 6874.023
transcript.whisperx[218].text 我已經提醒你了你不要造成民怨嘛一般用路人看很可怕跟委員報告我們是以交通安全的觀點在切入在做這件事情因為在載重的部分他甚至我們偵測到我沒有反對你去過棒
transcript.whisperx[219].start 6877.193
transcript.whisperx[219].end 6877.513
transcript.whisperx[219].text 我再講一個安全的問題
transcript.whisperx[220].start 6895.742
transcript.whisperx[220].end 6899.464
transcript.whisperx[220].text 提醒港府局,進口貨櫃全部都過半,超重的會拆櫃或壓櫃,現在裡面有足夠的空間嗎?有足夠的動線嗎?幾乎各貨櫃廠都是大塞車,台灣經濟不錯,所以各貨櫃廠都塞滿滿的,現在拖出來
transcript.whisperx[221].start 6919.275
transcript.whisperx[221].end 6940.852
transcript.whisperx[221].text 因為他有沒有操縱你要拖出來嘛你車頭車拖累把載去過半你要安排好動線你裡面有空間嗎你有迴轉的距離嗎對 辦公委員這個我們現在四個會議港我們都會跟港務公司幾乎是不可能啦你也趕快去弄好了要不然到時候又造成很大的民怨拖延貨物進出關的時間啊
transcript.whisperx[222].start 6942.332
transcript.whisperx[222].end 6943.253
transcript.whisperx[222].text 藍尿油算是危險物品
transcript.whisperx[223].start 6971.494
transcript.whisperx[223].end 6994.653
transcript.whisperx[223].text 我們維繫貨品政府是應該要有法定規定的那你業者業者要去載運燃料油要去哪裡載?要去機場載阿要跟民進黨局去機場載所以呢我去查了一下你去申請載油的車輛阿你都要有通行證沒有錯你要有臨時通行證你只要載100公斤以下的貨品那這家業者
transcript.whisperx[224].start 7000.834
transcript.whisperx[224].end 7020.759
transcript.whisperx[224].text 媒體報導被抓到他在台東花蓮完全都沒有完全都沒有用通勤證這是公然違法的事情這個不行如果有違法一定要裁處我認為政府現在因為我們沒有限制你再用危險物品的載重上限
transcript.whisperx[225].start 7022.403
transcript.whisperx[225].end 7041.306
transcript.whisperx[225].text 你應該要把他限制,現在你老天堂,你現在載500公斤也沒關係,你載幾噸,你載8000公斤也沒關係啦,所以你必須要設定你一個載重的上限,然後逼這些業者你要去使用合法的像潮貫車啦,
transcript.whisperx[226].start 7043.196
transcript.whisperx[226].end 7054.304
transcript.whisperx[226].text 我們目前公路局是不是已經在研議了?研議針對多少公斤以上?用什麼樣的容器?什麼樣子的超貫車載運?是不是已經開始在...你看看這裡在路上行走這個是很可怕的事情
transcript.whisperx[227].start 7055.86
transcript.whisperx[227].end 7080.397
transcript.whisperx[227].text 這個部分我大概跟委員報告一下剛剛講的一個部分就是說貫潮車以外的部分大概就是只有一百公斤這個以下那正常的運作方式應該就是因為超過一百公斤以下他有相對過去五年啦過去五年在運維權物品喔就出了差不多四百二十四千都是歐北債啦那你看喔我們現在國內的那種這種同業啦這些都是自動機公司只有這間啦只有這間那種鐵攤啊你知道啦我不知道他有什麼關係啦
transcript.whisperx[228].start 7087.077
transcript.whisperx[228].end 7088.961
transcript.whisperx[228].text 這家公司曾經被運安會
transcript.whisperx[229].start 7093.056
transcript.whisperx[229].end 7116.59
transcript.whisperx[229].text 公務員報告一下這家公司以前都違規都沒有申請這個臨時通行證那後來這個申請這個臨時通行證之後那個公務局經理也發現到因為他是用小貨車然後申請這個載重的部分超過這個小貨車的總載重量所以也就立即在撤銷他的臨時通行證他載的是燃料用油
transcript.whisperx[230].start 7117.631
transcript.whisperx[230].end 7147.103
transcript.whisperx[230].text 那個藍點很低欸很危險欸所以都是屬於危險物品都要申請臨時通勤啊所以他這個那這家公司為什麼敢這樣做啊所以現在就是說撤銷他的臨時通勤他過去20年摔了5次飛機啊死了8個人啊脅迫臨就死在這家公司的我們除了是後續的管理之外從源頭我們也跟中郵在協調就是在郵的時候如果看到他是用不合格你要要求啊一定要有通勤證你才可以載啊第二個你要限制啦
transcript.whisperx[231].start 7147.643
transcript.whisperx[231].end 7149.564
transcript.whisperx[231].text 接下來邀請魯明哲召委
transcript.whisperx[232].start 7183.499
transcript.whisperx[232].end 7200.526
transcript.whisperx[232].text 謝謝主席有請我們交通部陳部長請陳部長這個外送人平台的這個是林市長嗎這未來是市長管理還是公路局啊未來管理單位到底是誰啊公路局公路局也來一下
transcript.whisperx[233].start 7205.507
transcript.whisperx[233].end 7225.444
transcript.whisperx[233].text 有看到你們要針對我們汽車運輸業的管理規則跟它的一個價格的一個準則做一個預告不管是修正新增的這個的部分我看到了我現在很多民眾也看到了那當然未來我看到在整個這個你們的汽車貨運業裡面的像這種
transcript.whisperx[234].start 7229.047
transcript.whisperx[234].end 7231.328
transcript.whisperx[234].text 訂價格的準則很多啦包括計程車你要怎麼遊戲規規規規規規規規規規規規規規規規規規規規規規規規規規規規規規規規規規規規
transcript.whisperx[235].start 7258.416
transcript.whisperx[235].end 7282.336
transcript.whisperx[235].text 就是在我們計程車業者你要營業登記證幾年申請制你有多重的一個管制你要考上更大的客車或營業你要經歷過多少一個部分但事實上我們在外送平台的一個我們的機車外送員事實上是比較進入是沒有障礙的你只要考上駕照你就可以進入你有沒有每一年檢驗要不要回信不用 完全不用
transcript.whisperx[236].start 7283.056
transcript.whisperx[236].end 7283.076
transcript.whisperx[236].text 委員會議員
transcript.whisperx[237].start 7303.453
transcript.whisperx[237].end 7325.991
transcript.whisperx[237].text 然後跟店家得到這個訊息之後不管是買食物商品備貨然後有外送員送過去那這個我特別提醒就是紅色這個部分消費者跟店家是主體是實體也就是說這兩個必須在其他的不在面照樣可以吃只不過要走過去
transcript.whisperx[238].start 7327.232
transcript.whisperx[238].end 7327.513
transcript.whisperx[238].text 關鍵點在哪裏?
transcript.whisperx[239].start 7353.002
transcript.whisperx[239].end 7377.089
transcript.whisperx[239].text 這三個 下面三個消費者 外送員 店家我覺得都需要被關注我們在訂這個規則的時候當然是相關的業者工會來主導我覺得應該要這是時機了而且太慢了為什麼呢因為今年年中的時候看到哇 某一家外送平台要併購另外一家外送平台居然併購的價格9.5億的美金它會超過300億的台幣我第一個感覺說
transcript.whisperx[240].start 7383.28
transcript.whisperx[240].end 7408.057
transcript.whisperx[240].text 這是一個非常賺錢的一個平台的一個行業那我覺得應該要用第一線打拚的外送員他應該受到更多的保障我相信部長跟大家的想法都一樣那第二個呢因為如果併購成功併購成功他會變一個台灣兩大的一個外送平台的業者變成一個獨大所以對於我們外送員
transcript.whisperx[241].start 7408.977
transcript.whisperx[241].end 7410.878
transcript.whisperx[241].text 部長您的想法是不是也是這樣
transcript.whisperx[242].start 7428.045
transcript.whisperx[242].end 7446.711
transcript.whisperx[242].text 報告委員我覺得外送的這個議題相當的大牽扯到的部會也相當的多而且它是一個新興的一個數位的平台的消費模式新興的模式但目前為止政府對於這方面似乎是沒有任何的法令在管理那交通部是處理最上位的那個地方最上位就是運費
transcript.whisperx[243].start 7447.551
transcript.whisperx[243].end 7447.791
transcript.whisperx[243].text 好部長
transcript.whisperx[244].start 7478.722
transcript.whisperx[244].end 7490.547
transcript.whisperx[244].text 這個從外送委員來看我剛剛已經說了事實上從疫情之前2019年到大概去年統計真的超過三倍去年登記的人數這是勞動部的一個資料這個產業我們整個台灣
transcript.whisperx[245].start 7495.629
transcript.whisperx[245].end 7523.895
transcript.whisperx[245].text 的自己的國民在做這個行業需要受到保障的人數這個行業算非常多所以我們制定一些法規我覺得他是有他的合理性第二個我們外送平台的可以講外送員他的一個事故我說真的有時候騎著機車不管是雨天天氣冷熱天說真的不容易所以他們發生一個事故的統計我大概每天平均三個人在台北市所以我是覺得
transcript.whisperx[246].start 7525.435
transcript.whisperx[246].end 7549.533
transcript.whisperx[246].text 這種法規這種預告也好現在大家都預期啦如果我們政府介入預告半天薪水會越領越低也不要預告啦大家都預估未來外送員的一個權利福利會能夠比較好但是我還是要提醒一下現在消費者也在擔心啊我覺得有一個目標啦我覺得有一個方向我是覺得要從平台這個雲上啊
transcript.whisperx[247].start 7550.509
transcript.whisperx[247].end 7574.194
transcript.whisperx[247].text 有賺的錢去分享給我們下面的國人不管國人的角色是外送員是消費者是店家他在第一線這麼努力我是覺得這個法規如果弄到最後啊如果這樣消費者現在在問我當然你們也不清楚嘛因為各縣市到底怎麼定但是未來你們透明化的結果可能是幾層續層再加上
transcript.whisperx[248].start 7577.835
transcript.whisperx[248].end 7599.033
transcript.whisperx[248].text 樓層夜間11點之後春節我覺得夜間跟春節這個蠻合理的我自己覺得蠻合理的但是樓層費到底要怎麼收是按照我訂的時候我是10樓還是說我訂的時候你要送貨的時候我擺樓下還是說坐電梯的比較輕鬆爬樓梯的怎麼弄我真的不清楚
transcript.whisperx[249].start 7599.673
transcript.whisperx[249].end 7617.539
transcript.whisperx[249].text 不過等待費這個部分我請教一下市長也好部長這個店家等待費你們定義就你們定義是指等待完成製餐是什麼意義就是說外送委員到我店面在等餐了這個時間等了5分鐘是不是要計費
transcript.whisperx[250].start 7620.64
transcript.whisperx[250].end 7646.86
transcript.whisperx[250].text 等待費的部分的話因為當時這個大家討論的部分就有點參照這個計程車的一個概念那計程車的部分的話他是有這個等待客人這樣子的一個這個費用但是這個部分的話有一些參數的部分的話這個後面各縣市這個性質會不一樣大家一定要共同做討論那另外一個部分的話就是說這段期間包括委員所提的樓層費或是這個
transcript.whisperx[251].start 7648.982
transcript.whisperx[251].end 7649.362
transcript.whisperx[251].text 等待費等待費等待費
transcript.whisperx[252].start 7668.639
transcript.whisperx[252].end 7668.799
transcript.whisperx[252].text 報告委員:
transcript.whisperx[253].start 7697.698
transcript.whisperx[253].end 7697.718
transcript.whisperx[253].text 委員會長
transcript.whisperx[254].start 7715.703
transcript.whisperx[254].end 7716.023
transcript.whisperx[254].text 法定人數不足
transcript.whisperx[255].start 7738.379
transcript.whisperx[255].end 7757.05
transcript.whisperx[255].text 因為店家也在反映現在當然這兩家業者平台業者應該可能都在國外我們很歡迎全世界的這個要做生意的來台灣我們都很歡迎開放的可是問題現在每一家店面就是一個單他大概平均我知道抽3成多3成多賣個便當100塊
transcript.whisperx[256].start 7759.872
transcript.whisperx[256].end 7759.992
transcript.whisperx[256].text 委員會主席
transcript.whisperx[257].start 7782.842
transcript.whisperx[257].end 7808.257
transcript.whisperx[257].text 我們預期外送人員他的條件是必要變好不然我們就白幹了對不對他變好的這些錢如果再來是店家他3乘5變成要出4乘4乘5我跟你講到最後的結果是大概就完全跟我們想法完全不一樣為什麼店家不玩了如果店家不玩了或者消費者覺得很貴了他也不玩了
transcript.whisperx[258].start 7808.917
transcript.whisperx[258].end 7809.057
transcript.whisperx[258].text 李卓人議員
transcript.whisperx[259].start 7826.127
transcript.whisperx[259].end 7827.068
transcript.whisperx[259].text 接下來邀請廖先祥委員
transcript.whisperx[260].start 7863.695
transcript.whisperx[260].end 7864.175
transcript.whisperx[260].text 邀請陳副部長陳副部長
transcript.whisperx[261].start 7880.507
transcript.whisperx[261].end 7903.943
transcript.whisperx[261].text 我覺得一直以來像我們交通部好像都是男性的首長居多啦那當然啦這可能跟部會的你本來的組成就有關係啦可能本來女性在交通部的比例本來就比較低一點啦那我覺得你還是可以檢視一下我們女性首長所佔的比例跟我們女性這個所佔的員額的比例相比啦是不是有明顯的落差啦所以這一排只有何...何...何...對啊 只有何局長次啦
transcript.whisperx[262].start 7904.764
transcript.whisperx[262].end 7906.286
transcript.whisperx[262].text 有關於行人安全的部分您說今年的目標是要降
transcript.whisperx[263].start 7922.148
transcript.whisperx[263].end 7922.769
transcript.whisperx[263].text 李卓人議員
transcript.whisperx[264].start 7944.411
transcript.whisperx[264].end 7958.675
transcript.whisperx[264].text 報告委員我們看今年度的這個行人的這個傷亡的人數是往好的方向是往好的方向所以你現在還是有信心就是在年底達到7%的一個目標我這樣跟委員報告這是我設定
transcript.whisperx[265].start 7958.715
transcript.whisperx[265].end 7986.031
transcript.whisperx[265].text 設定的目標因為我剛才講了50%分成幾年下來算一年是7%我們希望能夠達到不過因為我們的改善工程現在正在做包含法令上面的規定包含行人早開時效我相信委員在路上走應該感受得到我們正在建立這個觀念所以我相信未來的數字可能會更好現在我們正在努力當中不過設定的目標還是一樣7%一樣7%嘛好但是至少沒有背離越來越遠就好了
transcript.whisperx[266].start 7986.691
transcript.whisperx[266].end 8014.914
transcript.whisperx[266].text 是這樣好謝謝謝謝部長然後另外我請教一下麻煩一樣我們那個氣象署陳書長這個要請教的就是前些日子在我們瑞芳還有金山萬里其實都有發生相當大的豪雨然後造成了這個災害那當然瑞芳的時候是颱風尾那其實金山萬里那時候颱風警報也解除了我想確認一下我們氣象署
transcript.whisperx[267].start 8015.782
transcript.whisperx[267].end 8044.413
transcript.whisperx[267].text 有預期到雨量會這麼大嗎?或者說你們到什麼樣子的時間點才發現雨量到這麼大的情況下可能會自災?我們其實在前一天晚上已經有報出來那個雨量是非常大只是短時強降雨這件事情它的雨量大到非常大的狀態我們是採用監測的作為因為預報的確沒有那麼準我們的數值預報的參考資料大概報到七成實際降雨...瑞芳有報?金山萬里有報嗎?有
transcript.whisperx[268].start 8045.433
transcript.whisperx[268].end 8066.825
transcript.whisperx[268].text 有,那因為當天的天氣,說真的啦,早上可能還是相對平緩的,那當然我們前一天有提醒,那當下呢,就是可能下午差不多兩點左右開始急降雨嘛,經常下午兩點急降雨,那我們是哪時候發現到這個情況可能會有點失控或者是超出我們的預期?
transcript.whisperx[269].start 8068.285
transcript.whisperx[269].end 8087.11
transcript.whisperx[269].text 10月4號其實整天我們大概做了9次大雷雨及時訊息還有13次的通報裡面包含了5次細胞廣播那這個是從早上從零點開始就一直不斷的在做那因為報災的這個事情發生的時間大概是在下午3點那我們其實有做了整個盤點我們從
transcript.whisperx[270].start 8088.59
transcript.whisperx[270].end 8114.013
transcript.whisperx[270].text 早上的我們不要說太晚我們譬如從早上的10點到下午3點這5個小時裡面我們相關發布的包含了這個豪大宇的預報還有及時訊息還有PWS加起來總共是七八八次左右好那麻煩我們會後是不是能夠請我們的氣象署提供一下我們可能在瑞芳或者是金山萬里在發生強降雨之前我們有可能做了哪些民眾提醒的作業那我們也可以後續來
transcript.whisperx[271].start 8115.094
transcript.whisperx[271].end 8115.194
transcript.whisperx[271].text 主席
transcript.whisperx[272].start 8128.698
transcript.whisperx[272].end 8152.984
transcript.whisperx[272].text 另外這個部長前幾天有個新聞看您有沒有要先澄清一下或是說新聞報導跟你講的有點不一樣問台鐵的就是說大家都說漲電價了那台鐵是不是也要漲價那部長您的說法好像是說先從節能做起嘛對不對我不曉得部長你有沒有瞭解這句話沒錯嘛沒有曲解那你有沒有瞭解我們台鐵他繳電費的這個結構的問題
transcript.whisperx[273].start 8157.012
transcript.whisperx[273].end 8168.297
transcript.whisperx[273].text 他們之前有給我一些數據但是我一個數據也報告給委員在今年度就是113年他們有申請到這個節能的這個補助4500萬那也確實做到了1.3%的這個節能那針對這次的電費調漲我特別有打電話給這個經濟部的能源署拜託他們針對台鐵的用電的部分專案再來輔導那輔導其實有兩個方法我其實不知道講電價這件事情
transcript.whisperx[274].start 8183.123
transcript.whisperx[274].end 8211.358
transcript.whisperx[274].text 我是要跟部長說有時候我們的一句話可能會造成我們台鐵很大基層的一些困擾我們台鐵最大的用電量在哪裡列車吧列車應該是列車嘛列車佔的比例大概多少比例上是多少百分之十三但是現在列車都正在更新當中啦那會更節電列車佔了百分之十三然後暫停的空調冷氣之類的或是必要的營運就是給旅客方面的啦
transcript.whisperx[275].start 8212.757
transcript.whisperx[275].end 8222.039
transcript.whisperx[275].text 百分之多少不到百分之十不到百分之十百分之二十三這些阿剩下的剩下的用在哪邊你直接回答好嗎
transcript.whisperx[276].start 8223.542
transcript.whisperx[276].end 8248.149
transcript.whisperx[276].text 跟委員報告我們用電那個大部分還是集中在我們的行車行車上面行車嘛就剛剛講13%對那就是其他的不過剛剛講起來還有70多%報告委員還有哪些大宗不是13%是那個我們行車的部分增加了13%我是說全部佔比佔比啦總共佔比大概多少
transcript.whisperx[277].start 8249.577
transcript.whisperx[277].end 8266.659
transcript.whisperx[277].text 行車的佔比應該有超過五成有超過五成嗎那月台的部分呢月台冷氣或是必要的設施車站的部分其次啦因為我們車站很多我們有240個車站那車站的用電大概也佔了差不多百分之三十幾
transcript.whisperx[278].start 8267.159
transcript.whisperx[278].end 8267.179
transcript.whisperx[278].text 委員會議員
transcript.whisperx[279].start 8285.302
transcript.whisperx[279].end 8300.658
transcript.whisperx[279].text 我們現在正在換車換車的過程會換得更節電的列車對 它是必要的就算你換完了之後它的用電的固定就是起伏不會因為駕駛起伏趴住不會太大列車的固定已經這麼多了那你月台的部分難不成你要月台不開冷氣嗎
transcript.whisperx[280].start 8301.459
transcript.whisperx[280].end 8302.039
transcript.whisperx[280].text 臺鐵其他可能員工辦公室只剩下那十幾趴
transcript.whisperx[281].start 8320.936
transcript.whisperx[281].end 8344.84
transcript.whisperx[281].text 這是部長講的這句話可能會讓人家誤解從10年前的冷氣換成現在的節能冷氣或許節電的效果會非常好會那這個部分我們其實也希望臺鐵能夠努力對在講的方向是這個方向絕對不是要曲解成說電要少開或者是什麼票票對因為我們常常政府第一個要節電的不只是交通部就是公家機關先節能節電做起冷氣的溫度不要調冷氣不要調再調降了造成
transcript.whisperx[282].start 8350.221
transcript.whisperx[282].end 8369.902
transcript.whisperx[282].text 這已經擠了這麼多年了我相信各個公家機關的辦公廳社已經不太會有浪費電的情況了但是部長講這句話的時候我不知道台鐵的感受是怎麼樣但是我會認為我的開車我的列車就用這麼多電了嘛我的月台我的冷氣我的必要服務旅客就這麼多電了嘛我剩下能夠節電的是什麼
transcript.whisperx[283].start 8371.303
transcript.whisperx[283].end 8372.964
transcript.whisperx[283].text 我希望部長講清楚從我們列車的更換我們一些冷氣的一些汰換等等
transcript.whisperx[284].start 8385.931
transcript.whisperx[284].end 8408.644
transcript.whisperx[284].text 最後部長講的這句話是由所有基層的工作同仁的工作場域來達成不同的一個命令所有工作場域該開的冷氣一定開是所有的月台要服務民眾的服務品質絕對不能降低節電的前提是這些好就是利用更換我們的節電的列車無論列車或者是空調設備等等的燈具等等來達到節電的一個目的沒錯
transcript.whisperx[285].start 8410.725
transcript.whisperx[285].end 8417.651
transcript.whisperx[285].text 那我希望這個方向能夠正確不要讓台鐵或是基層有不同的誤解好不好謝謝謝謝委員好謝謝廖先祥委員在這邊先補充公告就是等一下在邱若驊委員質詢後休息10分鐘那接下來邀請黃建豪委員
transcript.whisperx[286].start 8447.317
transcript.whisperx[286].end 8449.127
transcript.whisperx[286].text 好謝謝主席那我們先請交通部陳部長請陳部長
transcript.whisperx[287].start 8459.821
transcript.whisperx[287].end 8459.841
transcript.whisperx[287].text 委員長
transcript.whisperx[288].start 8483.491
transcript.whisperx[288].end 8502.141
transcript.whisperx[288].text 假設的成功這個法律通過了之後這個加價的錢是進哪裡報告委員第一他不一定是加價我們現在只是把計算的可能性的方式拿出來讓大家討論因為現在法令還在預告期所以他不一定是加價這筆錢以後會到哪裡去是進到平我的問題說這個錢比如說假設有這樣的公司出來了那這個費用是給
transcript.whisperx[289].start 8509.125
transcript.whisperx[289].end 8525.2
transcript.whisperx[289].text 外送員還是給平台業者報告委員目前的狀況是這個樣子外送平台他們一定有收運費但那個運費不透明所以你也不曉得你被收了多少運費那運費到底到外送員手上有多少也不曉得
transcript.whisperx[290].start 8525.74
transcript.whisperx[290].end 8526.16
transcript.whisperx[290].text 如果今天
transcript.whisperx[291].start 8547.566
transcript.whisperx[291].end 8563.472
transcript.whisperx[291].text 對不起,如果今天齁,打斷你一下,你今天講說要把這個準則把它列清楚,這個我每,假設我每交一單,我的多少錢裡面,裡面是多少錢是食物,多少錢是運費,那如果像今天以今天這個修正草案的準則裡面其實並沒有包含給外省多少錢的費用,如果你要把它明定,你會明定出來嗎?
transcript.whisperx[292].start 8564.172
transcript.whisperx[292].end 8564.572
transcript.whisperx[292].text 部長這樣講變成這個是一個跨部會的沒有錯
transcript.whisperx[293].start 8590.14
transcript.whisperx[293].end 8590.16
transcript.whisperx[293].text 韓國瑜
transcript.whisperx[294].start 8620.26
transcript.whisperx[294].end 8645.123
transcript.whisperx[294].text 那如果今天運費這麼明確的每一條都訂出來但是裡面如果沒有包含這怎麼拆帳的話那其實他一樣回到商業機制啦那如果回到商業機制當初訂這個法律的條件報告委員當時候其實有好多的討論因為包含立法院也相當多的委員很關心這個議題那也討論過相當多次也有跨部會的協調也有協調過那各部會給我們的反應就是說
transcript.whisperx[295].start 8645.823
transcript.whisperx[295].end 8672.422
transcript.whisperx[295].text 當你最上位的運費沒有確定的時候他們其他的部分沒有辦法進來訂立所以這是最上位的我剛剛一直強調最上位就是說我們這個部分如果沒有訂立清楚你像這個員工應該分多少或店家應該分多少這個部分就沒有辦法走下去所以我們只能處理最上面這一端而已應該這樣講啦這是我的建議啦你說你基本運費當然平台收走了可是你說夜間、延遲、春節、樓層
transcript.whisperx[296].start 8674.404
transcript.whisperx[296].end 8674.624
transcript.whisperx[296].text 李宗盛議員
transcript.whisperx[297].start 8693.366
transcript.whisperx[297].end 8713.08
transcript.whisperx[297].text 其實我們把它運價透明化的因素也就是說剛剛委員所提到的很不希望所有的運費或者是費用全部到平台那裡去所以要有一個透明的過程大家才知道不然現在平台其實基本上也不會告訴店家也不會告訴外送員甚至消費者所看到的運費的計價也不一定是真實的
transcript.whisperx[298].start 8713.88
transcript.whisperx[298].end 8740.627
transcript.whisperx[298].text 那我們希望讓他透明化之後在各方面要做分配或者是說有什麼意見的時候到時候比較容易來做處理部長我的希望就是因為你既然把這個條件雖然是預告階段那既然條件都那麼清楚了但是我希望這個要做完這一點哪些加收的部分因為運費我就講運費就運費但是加收的部分我覺得你應該還是在這個條件裡面應該要所謂的該給外送員的給外送員
transcript.whisperx[299].start 8741.067
transcript.whisperx[299].end 8741.388
transcript.whisperx[299].text 委員會主席
transcript.whisperx[300].start 8751.38
transcript.whisperx[300].end 8751.94
transcript.whisperx[300].text 討論到公路部分
transcript.whisperx[301].start 8778.223
transcript.whisperx[301].end 8799.381
transcript.whisperx[301].text 我想這邊大家對大客車的這個問題也是非常在意啦那你看當然大客車的價值執照每年每年基本上八九萬跑不掉但是實際上真正在開車的人從103年近10年來從6400多人現在降到3500多人所以整個台灣社會大客車價值就直接少了3000人啦所以理論上來講那我們再講一下
transcript.whisperx[302].start 8799.781
transcript.whisperx[302].end 8817.182
transcript.whisperx[302].text 如果大客車的人數邏輯上來講能開車的人變少了那理論上在路上跑的大客車理論上應該也要變少但實際上就沒有嘛實際上客車還是一樣這麼多這麼多在開那什麼原因造成的那就是代表現有的這個3500多人他去承擔了過去6000人要開的車次
transcript.whisperx[303].start 8819.192
transcript.whisperx[303].end 8819.372
transcript.whisperx[303].text 委員會主席
transcript.whisperx[304].start 8837.152
transcript.whisperx[304].end 8861.128
transcript.whisperx[304].text 他的薪資本分非常非常低,他的底薪只有1萬2,剩下的有的沒有的津貼加起來之後可能才8萬多塊,所以他的本分是很低的,他本薪這麼低,那靠這麼多有的沒有的,在客的、伙食的什麼獎金有的沒有的,他才能加到這個部分,這個底薪1萬2,其實我覺得這個真的是,你用這個底薪你怎麼會找得到足夠的資金呢?
transcript.whisperx[305].start 8862.049
transcript.whisperx[305].end 8887.966
transcript.whisperx[305].text 所以部長你對這個事情有什麼看法委員你這樣講齁我看這樣子看起來確實是不合理交通部一直在努力在做補貼在做補助我們希望駕駛人員可以來增加但實際上他們領到的數額或許是非常的低然後底薪尤其是底薪啦齁左邊一萬二啦右邊那個是3600不同公司的左邊的一萬二右邊這兩張不同的大部分的勞工都會希望自己的基本底薪要高因為這關係到退休退休金的部分
transcript.whisperx[306].start 8888.706
transcript.whisperx[306].end 8915.952
transcript.whisperx[306].text 所以他不應該是這樣處理但是這個部分的管轄應該是在地方政府那我們會要求地方政府就是說落實針對駕駛人員的這個他的薪資的部分應該要怎麼給付對駕駛員來講是比較合理的我們會來拜託地方政府來協助這一塊因為當然地方政府是執行單位啦那我們期待就像你剛剛提到很多是上位原則的問題如果全台灣的大客車畢竟還是公路局是交通部在管
transcript.whisperx[307].start 8916.912
transcript.whisperx[307].end 8928.989
transcript.whisperx[307].text 全台灣的大客車駕駛它的如果底薪各自都不一樣而且是這樣低薪的狀況那造成的結果是全台灣各家業者之間推出來的薪水長這樣駕駛員長這樣子那當然第一個
transcript.whisperx[308].start 8932.108
transcript.whisperx[308].end 8933.889
transcript.whisperx[308].text 我們會同地方政府一起來協助這些公運業者大家針對這個駕駛人員的這個薪資的合理化這個部分我們來處理
transcript.whisperx[309].start 8959.884
transcript.whisperx[309].end 8959.924
transcript.whisperx[309].text 大客駕駛
transcript.whisperx[310].start 8975.665
transcript.whisperx[310].end 8992.323
transcript.whisperx[310].text 講白了這些客運現有的客運業者或客運駕駛他真的犯規的人他也皮皮啊那反正市場就不夠反正所有業者都要去搶我這個人口需要我這個人力所以他就算真的犯錯他真的怎麼樣你就算懲處他他也不怕他離開這間公司他去下一間公司就好了
transcript.whisperx[311].start 8993.084
transcript.whisperx[311].end 9010.493
transcript.whisperx[311].text 所以一樣的駕駛一樣的悲劇會一再一再重演所以這個東西要拜託啦你如果薪資有達到一定的基本的保障一定的水準你才有可能去把這個駕駛找回來嘛因為現在最核心最最最大問題是很多駕駛他有大貨車駕照的大客車駕照的他可以做很多事情的
transcript.whisperx[312].start 9010.913
transcript.whisperx[312].end 9011.153
transcript.whisperx[312].text 委員會主席
transcript.whisperx[313].start 9027.156
transcript.whisperx[313].end 9027.336
transcript.whisperx[313].text 黃建豪委員
transcript.whisperx[314].start 9049.758
transcript.whisperx[314].end 9057.948
transcript.whisperx[314].text 接下來邀請邱若驊委員那我們在邱若驊委員質詢之後休息10分鐘那休息後我們處理臨時提案謝謝主席主席有請交通部陳部長請陳部長
transcript.whisperx[315].start 9078.43
transcript.whisperx[315].end 9092.865
transcript.whisperx[315].text 桃園機場是我國最大的民用機場也是我國重要的國門在新冠疫情結束之後桃機的客運量逐年增加就今年的客量來說總計人數是2900
transcript.whisperx[316].start 9095.928
transcript.whisperx[316].end 9096.288
transcript.whisperx[316].text 委員會主席
transcript.whisperx[317].start 9122.19
transcript.whisperx[317].end 9125.491
transcript.whisperx[317].text 本席給部長看一些照片我們來看到這是10月9號凌晨拍攝的部長您知道這是哪裡嗎?
transcript.whisperx[318].start 9147.194
transcript.whisperx[318].end 9166.989
transcript.whisperx[318].text 應該是桃園機場沒錯就是桃園機場那看到這樣子那麼多國內外旅客半夜排隊等車部長有沒有嚇到我覺得不要讓大家等太久啦或許排隊上車是好事但是不要在那邊候車候太久這是不好的是那桃園捷運往台北最後一班車在第一航廈他最晚是晚上11點37分這代表清晨12點到
transcript.whisperx[319].start 9171.032
transcript.whisperx[319].end 9171.212
transcript.whisperx[319].text 部長您認為這樣夠嗎?
transcript.whisperx[320].start 9193.059
transcript.whisperx[320].end 9212.572
transcript.whisperx[320].text 是我覺得這樣的班次目前看起來因為我們沒有看實際的現場的狀況如果照委員剛剛提供的那個現場的狀況看起來是等待太久的狀況的話是不好的那這個部分我相信我想公路局這邊是不是可以滾動來檢討如果該增加班次我們來增加
transcript.whisperx[321].start 9213.412
transcript.whisperx[321].end 9240.167
transcript.whisperx[321].text 跟委員報告大概就是說這一個夜間的這個部分的話目前從機場到這一個北部地區還有6條路線那當然就是說未來就是說這些班次的話我們配合就是說這個航班的他的紅眼班次也就是說他的那個到達機場的那個時間那我們的這個客運的班次盡量跟他配合讓民眾就是說不要等待太久另外就是說每一個班次的這個搭乘的乘客的部分我們來調查
transcript.whisperx[322].start 9241.027
transcript.whisperx[322].end 9265.251
transcript.whisperx[322].text 那當然就是說如果說這個有班次需要再增班的部分我們來要求客運業者不然您身為交通部的大家長那個期是希望您能出面協調陶器然後還有公務局還有客運業者好沒問題我來協調這件事這樣子可以讓就像您剛才所說的讓我們國內的旅客回到臺灣之後可以早點回到家然後也讓國際旅客來到臺灣不會在第一下就造成觀感不佳對沒錯那您願意出面協調嗎當然沒有問題這個我來協調來解決這樣的問題
transcript.whisperx[323].start 9268.072
transcript.whisperx[323].end 9297.258
transcript.whisperx[323].text OK那後續再提供本席書面之類好沒問題那再來我們看到變造車牌的部分那去年那個道家條例修法之後因為超速吊扣車牌的案件數在新法上路之前統計數是6429件那新法上路後來到了34659件那有一些吊扣被吊扣車牌的車主他們卻知法犯法全快假車牌上路那造成假車牌的案件數激增也有歹徒利用假車牌來犯案造成查案的斷點
transcript.whisperx[324].start 9298.278
transcript.whisperx[324].end 9298.418
transcript.whisperx[324].text 委員會主席
transcript.whisperx[325].start 9322.125
transcript.whisperx[325].end 9344.745
transcript.whisperx[325].text 公視一月到九月就舉發了八百七十七件相較於去年的同期一百八十九件相較這樣子相較下來他的增加率是百分之三百六十四那插貨或販賣使用變造的車牌那因以新法212216條移送者一百一十二年是一百三十件一百三十九人今年一到九月就插貨了五百五十一件
transcript.whisperx[326].start 9347.807
transcript.whisperx[326].end 9367.391
transcript.whisperx[326].text 編造車牌取得實在是太容易了我們可以看到臺南就有黃姓男子因為車輛車牌遭到註銷委託網友以一萬五千元在網路上就可以取得假車牌那之後也被警方查獲那舊交部長那近年來編造車牌的查詢數節節攀升尤其是今年一到九月
transcript.whisperx[327].start 9368.391
transcript.whisperx[327].end 9371.334
transcript.whisperx[327].text 報告委員我們在這個跨部會的協調因為這個東西執法面是在內政部警政署
transcript.whisperx[328].start 9389.793
transcript.whisperx[328].end 9416.744
transcript.whisperx[328].text 跨部會的協調我們在9月跟10月我們舉辦過一兩次的跨部會協調我們要針對就是說跨機關的查緝第一個我們要做第二個是針對平台的部分這個是速發部要協助的讓他能夠快速下架因為委員有提到說網路購買非常容易所以當我們看到的時候要讓他快速能夠下架這個很重要還有一個就是溯源的管制也就是說從海關的部分如果我們有查驗到有這個假的車牌準備要進口了我們在海關就要把它擋下來
transcript.whisperx[329].start 9417.244
transcript.whisperx[329].end 9418.145
transcript.whisperx[329].text 部長您在運輸的時候也有提到會來跨部會來做協調跟討論那目前進度到哪了
transcript.whisperx[330].start 9434.341
transcript.whisperx[330].end 9434.741
transcript.whisperx[330].text 邱教育部長
transcript.whisperx[331].start 9450.094
transcript.whisperx[331].end 9466.665
transcript.whisperx[331].text 在14號的時候共軍東部戰區在凌晨突襲式的宣布發動今年第二度的維台軍演離間聯合離間2024B那隨後對岸海警局也緊接著宣布派出四支海警編隊對台灣展開環島巡航管控任務是
transcript.whisperx[332].start 9468.71
transcript.whisperx[332].end 9488.578
transcript.whisperx[332].text 本席認為如果兩岸的情勢持續惡化﹖對岸的軍援只會變成常態的那因為地形的因素很預示我國重要的經濟命脈那香港局主責也是確保民用傳播航行安全那本席就教香港局幾個問題那對於中共14日臨時發布軍援香港局第一時間的因應是什麼
transcript.whisperx[333].start 9489.688
transcript.whisperx[333].end 9511.25
transcript.whisperx[333].text 在第一時間我們有透過海岸電台的廣播告訴周邊的船隻大家要注意安全航港局有做這樣子的廣播跟宣導第二我們針對海域周圍的監控跟監視我們也配合我們的海巡跟我們的國軍大家針對監控的部分也有在關注
transcript.whisperx[334].start 9511.69
transcript.whisperx[334].end 9535.187
transcript.whisperx[334].text 那還好這次他們的演習大概說法有但實際上並沒有造成我們的船舶的運輸有任何的這個進出方面的問題沒有造成這樣的結果是有建立一套完整的SOP了嗎這個部分有我們都有一套完整的SOP不管是民航的部分就是說空運的部分或者是海運的部分我們的SOP都有那有需要請他們來報告一下嗎
transcript.whisperx[335].start 9538.226
transcript.whisperx[335].end 9560.135
transcript.whisperx[335].text 跟委員報告第一個就是剛剛部長提到第一個我們會用海岸電台跟我們的海事中心利用廣播跟新聞的方式新聞就是文字的方式然後我們可以傳播的這個範圍長達150海里所以整個臺灣海峽還有東部海域都能夠含括在這個廣播的範圍內所以第一個即時的
transcript.whisperx[336].start 9560.675
transcript.whisperx[336].end 9561.255
transcript.whisperx[336].text 那現在休息10分鐘
transcript.whisperx[337].start 9594.793
transcript.whisperx[337].end 9597.495
transcript.whisperx[337].text 法定人數不足
transcript.whisperx[338].start 9624.13
transcript.whisperx[338].end 9624.47
transcript.whisperx[338].text 委員會委員會委員會
transcript.whisperx[339].start 9654.921
transcript.whisperx[339].end 9655.902
transcript.whisperx[339].text 主席主席主席
transcript.whisperx[340].start 9679.017
transcript.whisperx[340].end 9679.237
transcript.whisperx[340].text 委員會委員會委員會
transcript.whisperx[341].start 9704.923
transcript.whisperx[341].end 9704.983
transcript.whisperx[341].text 委員會委員會委員會
transcript.whisperx[342].start 9735.049
transcript.whisperx[342].end 9735.389
transcript.whisperx[342].text 委員會委員會委員會委員會
transcript.whisperx[343].start 9765.55
transcript.whisperx[343].end 9766.051
transcript.whisperx[343].text 委員會主席
transcript.whisperx[344].start 9781.557
transcript.whisperx[344].end 9781.757
transcript.whisperx[344].text 委員會主席
transcript.whisperx[345].start 9801.14
transcript.whisperx[345].end 9801.98
transcript.whisperx[345].text 委員會委員會委員會委員會
transcript.whisperx[346].start 9828.166
transcript.whisperx[346].end 9855.179
transcript.whisperx[346].text 議員會議員會議員會議
transcript.whisperx[347].start 9856.563
transcript.whisperx[347].end 9856.823
transcript.whisperx[347].text 委員會委員會委員會
transcript.whisperx[348].start 9886.511
transcript.whisperx[348].end 9887.853
transcript.whisperx[348].text 委員會委員會委員會委員會
transcript.whisperx[349].start 9911.664
transcript.whisperx[349].end 9939.923
transcript.whisperx[349].text 議員會議員會議員會議
transcript.whisperx[350].start 9940.124
transcript.whisperx[350].end 9940.264
transcript.whisperx[350].text 主席
transcript.whisperx[351].start 9947.602
transcript.whisperx[351].end 9975.401
transcript.whisperx[351].text 議員會議員會議員會議
transcript.whisperx[352].start 9980.849
transcript.whisperx[352].end 9981.25
transcript.whisperx[352].text 提供的內容
transcript.whisperx[353].start 9996.964
transcript.whisperx[353].end 9997.724
transcript.whisperx[353].text 法定人數不足
transcript.whisperx[354].start 10018.346
transcript.whisperx[354].end 10018.606
transcript.whisperx[354].text 委員會主席
transcript.whisperx[355].start 10041.493
transcript.whisperx[355].end 10065.145
transcript.whisperx[355].text 議員會議員會議員會議
transcript.whisperx[356].start 10066.404
transcript.whisperx[356].end 10067.025
transcript.whisperx[356].text 委員會委員會委員會委員會
transcript.whisperx[357].start 10092.466
transcript.whisperx[357].end 10115.674
transcript.whisperx[357].text 議員會議員會議員會議
transcript.whisperx[358].start 10116.154
transcript.whisperx[358].end 10116.554
transcript.whisperx[358].text 委員會主席
transcript.whisperx[359].start 10140.468
transcript.whisperx[359].end 10141.108
transcript.whisperx[359].text 委員會主席
transcript.whisperx[360].start 10154.564
transcript.whisperx[360].end 10155.105
transcript.whisperx[360].text 委員會主席
transcript.whisperx[361].start 10193.244
transcript.whisperx[361].end 10194.865
transcript.whisperx[361].text 現在處理臨時提案,請議事人員一併宣讀。
transcript.whisperx[362].start 10202.335
transcript.whisperx[362].end 10217.857
transcript.whisperx[362].text 宣讀臨時提案一介於國道4號清水段的長下坡與臨港道路口道路為顯示地方上長期的問題原始要求交通部應就國道4號清水段及臨港路
transcript.whisperx[363].start 10218.718
transcript.whisperx[363].end 10238.27
transcript.whisperx[363].text 三段安全問題立即進行短期改善並且於6個月內完成臺中港年外高快速系統整體評估研議國道4號往昔延伸可行性維護鄉親用路安全提案人委員蔡啟昌等因實提案2
transcript.whisperx[364].start 10239.19
transcript.whisperx[364].end 10259.052
transcript.whisperx[364].text 高鐵延伸至屏東計畫於108年9月10日由行政委員正式宣布﹖然至今已過5年計畫仍困於路線核定階段。藉由區域均衡發展及交通平權之目標﹖交通部應儘速完成高鐵行經路線之溝通﹖
transcript.whisperx[365].start 10259.873
transcript.whisperx[365].end 10283.093
transcript.whisperx[365].text 緣此要求交通部優先施作6塊處車站使其高價化且得與高鐵共購並於113年筆前合併高鐵延伸至屏東之路線提案人委員徐富奎等宣錄完畢好針對臨時提案第1案請問各位委員及行政單位有無意見那個提案委員我講到了
transcript.whisperx[366].start 10286.618
transcript.whisperx[366].end 10303.846
transcript.whisperx[366].text 交通部有一些文字修正本席全部支持主要是這樣其實這個案子交通部已經跟本席開過協調會我想做一個提案來把當時我們的一些結論做一些確定主要就是
transcript.whisperx[367].start 10304.566
transcript.whisperx[367].end 10326.145
transcript.whisperx[367].text 他不但是安全問題也是發展的問題安全問題在於那個國道4號進入臨港路車速過快所以常常會有一些事故的產生這是安全問題但他其實背後根結的還是在於台中港整體的發展也就是台中港作為這個現在逐漸在蓬勃發展的一個港口
transcript.whisperx[368].start 10326.886
transcript.whisperx[368].end 10348.937
transcript.whisperx[368].text 那長期下來他的連外道路的特別是快速道路的這些連結的系統應該交通部要及早有一個規劃所以呢我做了一個這樣的臨時提案那文字就依照交通部修正的文字好謝謝蔡啟昌委員那是不是請優待交通部附送一下你們的修正意見
transcript.whisperx[369].start 10351.791
transcript.whisperx[369].end 10378.069
transcript.whisperx[369].text 經跟委員報告以後我們建議的那個內容修正如下就是有關6個月內完成臺中港聯外高快速系統後面加聯絡兩個字整體評估另外就是研議國道4號延伸可行性這整個整計劃刪掉以上好那如果沒有其他意見我們就照修正建議通過
transcript.whisperx[370].start 10379.622
transcript.whisperx[370].end 10407.25
transcript.whisperx[370].text 好那針對臨時提案第2案請我問各位委員及行政單位有無意見好請徐副會委員好謝謝主席我想高鐵南延屏東這個案子已經討論了很多年那從2019年我們蘇貞昌院長宣布之後那到現在又過了5年還在討論所謂的一個路線的問題那本席也強烈要求這個交通部基於這個區域均衡發展這個及交通平均的一個目標
transcript.whisperx[371].start 10408.751
transcript.whisperx[371].end 10432.148
transcript.whisperx[371].text 應該盡快完成所謂一個屏東路線的一個定案讓屏東也可以享受一個所謂一個便捷的一個交通網絡那而且本席也要求交通部應該優先試坐6塊車站並搭配高鐵做一個高價化的一個規劃那讓這個整個期程能夠縮短以上補充說明好謝謝徐委員那請問行政代委有無修正意見
transcript.whisperx[372].start 10433.05
transcript.whisperx[372].end 10450.279
transcript.whisperx[372].text 跟徐委員還有張偉報告,剛剛有跟委員報告,就是委員的訴求跟要求我們充分的瞭解,也會全力來推動跟執行那建議兩個地方做文字上的修正,倒數第二行,原始要求交通部優先施作六塊座車站
transcript.whisperx[373].start 10451.15
transcript.whisperx[373].end 10475.507
transcript.whisperx[373].text 這個要求我們建議改成建請那這樣我們在行政上比較好處理那最後一行113年底合定高鐵延伸屏東之路線因為交通部其實現在沒有辦法做合定的行政程序我們是不是建議改成確定把合定改成確定以上報告謝謝好謝謝那徐委員那就麻煩交通部要照我們這樣的一個啟程來做努力謝謝
transcript.whisperx[374].start 10476.881
transcript.whisperx[374].end 10478.562
transcript.whisperx[374].text 臨時提案處理完畢,如有委員對上述提案補簽,列入記錄並刊登公報。
transcript.whisperx[375].start 10504.27
transcript.whisperx[375].end 10509.074
transcript.whisperx[375].text 謝謝主席請陳部長、觀光署、周署長部長早、署長早今天還是就觀光的問題就叫交通部我看了一下統計的數據
transcript.whisperx[376].start 10531.405
transcript.whisperx[376].end 10554.983
transcript.whisperx[376].text 這個出境的觀光人數持續的跟入境持續的逆差那我有請周署長上一次到我辦公室拜會的時候我有請你就這一個問題到底在就我一直在強調這個我們要解決一個問題也就是說大家說國旅不好
transcript.whisperx[377].start 10556.141
transcript.whisperx[377].end 10570.684
transcript.whisperx[377].text 那入境旅客也沒有辦法達到疫情前如果你從這個統計表就可以看得到這個中間中間這一節是疫情我們就姑且不論
transcript.whisperx[378].start 10572.349
transcript.whisperx[378].end 10600.521
transcript.whisperx[378].text 疫情前跟疫情後哪怕疫後大概也一兩年的時間了所以這個數字的回復的狀況並沒有辦法達到疫前所以普遍觀光業者觀光產業普遍這兩年這個哀鴻遍野大家很多的這個對於這個觀光業的產業的發展大家存在很大的危機感那我有請
transcript.whisperx[379].start 10602.645
transcript.whisperx[379].end 10619.741
transcript.whisperx[379].text 署裡面做一個基本的研究也就是我一直覺得要對症下藥才有辦法來面對觀光產業的問題那我不知道這個署裡面有沒有已經做出因為已經過了好幾個月了你們認為觀光產業現在的狀況為什麼會差
transcript.whisperx[380].start 10627.142
transcript.whisperx[380].end 10630.124
transcript.whisperx[380].text 主要是我們的國旅的部分我們預判今年應該人次可以恢復到疫情前
transcript.whisperx[381].start 10644.511
transcript.whisperx[381].end 10666.086
transcript.whisperx[381].text 但是我們的這個住宿的部分可能還沒辦法達到也就是說我們現在一日遊還是佔70%就是留宿的部分比較少那外來來台觀光旅客我們的目標是年底要達到1000萬那現在大概到10月初是600萬
transcript.whisperx[382].start 10667.227
transcript.whisperx[382].end 10671.729
transcript.whisperx[382].text 我們的目標還是沒變但是確實不可抗力的因素有幾個那第一個是地震第二個是颱風第三個是軍演那這三個因素確實受到影響
transcript.whisperx[383].start 10689.258
transcript.whisperx[383].end 10690.579
transcript.whisperx[383].text 規律差日本出境800萬
transcript.whisperx[384].start 10704.434
transcript.whisperx[384].end 10704.754
transcript.whisperx[384].text 委員會主席
transcript.whisperx[385].start 10729.241
transcript.whisperx[385].end 10731.202
transcript.whisperx[385].text 韓國的部分跟我們台灣是比較像他出鏡的量也很高他將近1900萬
transcript.whisperx[386].start 10745.67
transcript.whisperx[386].end 10773.555
transcript.whisperx[386].text 那截至到目前為止他的出鏡也是入鏡少出鏡多這個是一個各國不同的因素是讓我花一點時間讓你講是因為這個我還是覺得在這個所謂問題的掌握上剛剛我聽到的你認為這個來台旅客人數少主要原因是大環境的因素啦譬如說你提到軍演
transcript.whisperx[387].start 10774.622
transcript.whisperx[387].end 10798.631
transcript.whisperx[387].text 你提到地震還有一個是颱風還有匯率那如果照這個邏輯因為我們做措施是為了解決問題也就是我們端出政策是為了解決問題那上述這四個看起來都不是你觀光局可以解決的對不對
transcript.whisperx[388].start 10799.895
transcript.whisperx[388].end 10816.092
transcript.whisperx[388].text 不是嘛齁那而且這四個我也說實在話齁除了你講到匯率那可能是對日本的匯率比較有差啦但是我們的觀光客當然日本是一個很大的來源那像韓國或其他是我們可以努力的嘛齁那過去
transcript.whisperx[389].start 10818.001
transcript.whisperx[389].end 10838.653
transcript.whisperx[389].text 台灣不是地震不是今年剛發生嘛,地震每一年都有啊,而且地震很頻繁在台灣,就像日本地震也很頻繁,但它無法阻止台灣旅客瘋狂的跑到日本去那一樣的道理,台風,日本的台風我覺得以這兩年來看,日本的台風還比台灣更多,對不對
transcript.whisperx[390].start 10839.246
transcript.whisperx[390].end 10859.165
transcript.whisperx[390].text 那第三個這個軍演軍演我看也不是今年嘛而且以軍演的角度來看以最近這次軍演台灣股市也不受任何影響他軍演他的台灣股市還是照漲所以我的意思是說如果以這個客觀因素就光光數去理解到這個
transcript.whisperx[391].start 10861.307
transcript.whisperx[391].end 10884.141
transcript.whisperx[391].text 路徑旅客減少如果是把這個當成重要目標這是第一個我認為我其實是不是太能夠接受那第二個我反推啦因為我不知道你沒有給我這個詳細數據的報告到底為什麼那我反推我從你的政策來反推譬如說你現在吼這個叫做第四季的加碼措施
transcript.whisperx[392].start 10884.921
transcript.whisperx[392].end 10910.793
transcript.whisperx[392].text 也就是外國團客你發了獎助也就是說來台補助譬如說來台灣住幾天的美團獎助金一萬八到四十九人提高美團獎助金三萬五十人以上美團獎助金四萬換言之觀光局在這一個問題這一個政策我的理解是認為來台灣旅行太貴
transcript.whisperx[393].start 10912.79
transcript.whisperx[393].end 10938.791
transcript.whisperx[393].text 因為太貴所以我政府端出的一個政策就是我幫你補貼我的理解啦每一個政策背後他一定有問題要解決嘛那你推出這個現金補貼其實就是象徵著台灣太貴啦外國人買不來所以我就發獎金鼓勵他來這個是一個嘛第二個我看你找了這個
transcript.whisperx[394].start 10941.085
transcript.whisperx[394].end 10942.209
transcript.whisperx[394].text 這個SC的成員歸選來代言台灣觀光
transcript.whisperx[395].start 10945.711
transcript.whisperx[395].end 10972.35
transcript.whisperx[395].text 那找一個韓國的代言韓國的明星代言換言之我背後理解這個政策的目的是你要第一個要攻韓國的市場第二個你認為韓國台灣在韓國人心目當中可能知名度尚不足所以我要找一個代言人知名度很高的代言人韓國人很熟悉的一個明星一個人物他來代言然後讓韓國人更知道台灣
transcript.whisperx[396].start 10973.96
transcript.whisperx[396].end 10979.132
transcript.whisperx[396].text 看起來你推這些政策跟你的客觀分析好像也有點落差
transcript.whisperx[397].start 10979.793
transcript.whisperx[397].end 10980.253
transcript.whisperx[397].text 蘇長你懂我的意思嗎
transcript.whisperx[398].start 11007.253
transcript.whisperx[398].end 11025.973
transcript.whisperx[398].text 是委員是專家但是我也利用這個機會跟大家報告一下跟委員報告一下就是一些優惠的措施對旅行社來講他們其實還是有些平價的市場那這個各國都有一些措施那第二個我們代言的時候也是有市場區隔
transcript.whisperx[399].start 11027.334
transcript.whisperx[399].end 11029.236
transcript.whisperx[399].text 韓國人就是女生來的少
transcript.whisperx[400].start 11046.189
transcript.whisperx[400].end 11071.701
transcript.whisperx[400].text 但是韓國人又女生出國的觀光客其實很大量很大那因為來台灣的少為什麼所以你們找了一個韓國女生很愛的男星來代言說要不要跟我去台灣玩舉例我不知道你們廣告內容是什麼所以這個叫解決問題所以本席只是告訴你說我不知道你如何對於看待觀光署如何看待
transcript.whisperx[401].start 11072.861
transcript.whisperx[401].end 11101.351
transcript.whisperx[401].text 到底外國觀光客來臺我們沒有辦法回到疫情前那個報告到底是什麼本席很想了解嘛你有那個報告你針對這個報告提預算本席一定全力支持嘛所以我講過我對你的內容我沒有任何反駁我也不覺得這個沒有什麼我沒有什麼特別意見但是我的意思是說你要讓我們作為一個監督者監督交通部我要很清楚知道你們交通部抓到的問題是什麼
transcript.whisperx[402].start 11102.95
transcript.whisperx[402].end 11129.396
transcript.whisperx[402].text 那我還是建議交通部不要再提那個客那些什麼大環境那個啦就是說日本人就有地震地震那麼多人家就不會人數就不會少而且日本客嚇死了叫大家不要來了日本太多客人了對不對所以這個我是覺得提這個又會討罵而已嘛所以我們就針對我們觀察我們統計到因為所有data都在書裡面嘛我們書裡面掌握到這些data不同的市場不同的說法怎麼對症下藥好
transcript.whisperx[403].start 11131.716
transcript.whisperx[403].end 11137.648
transcript.whisperx[403].text 那接下來我只問說請龜賢到代言那我們做了什麼事情
transcript.whisperx[404].start 11138.665
transcript.whisperx[404].end 11164.625
transcript.whisperx[404].text 對就我們請他做了什麼事因為我只好像看到只有記者會吧記者會是開始做對接下來因為我們是前面的前置作業包括的市場調查OK我聽說對然後再來的話他們就是在我們在韓國市場裡面他也來台灣拍實際的所以我們會拍影片對會拍影片然後在韓國不同的管道來在不同的通路來播對通路來播OK然後這個
transcript.whisperx[405].start 11165.606
transcript.whisperx[405].end 11166.207
transcript.whisperx[405].text 韓國市場明年你們的預估可以成長多少?
transcript.whisperx[406].start 11185.381
transcript.whisperx[406].end 11208.937
transcript.whisperx[406].text 韓國跟日本是我們台灣一個非常重要的市場那我們第一個目標是要恢復到疫情之前所以現在我們基本上啦台灣應該有能量日本跟韓國這兩個市場來台灣都應該可以達到200萬人次疫情前是200萬嘛韓國還不到所以你現在希望明年的目標我們還是往這個目標走
transcript.whisperx[407].start 11210.478
transcript.whisperx[407].end 11210.798
transcript.whisperx[407].text 謝謝蔡齊昌委員
transcript.whisperx[408].start 11250.734
transcript.whisperx[408].end 11277.82
transcript.whisperx[408].text 接下來邀請徐副葵委員。謝謝主席。我們有請交通部陳部長、中華電信檢董事長。請中華電信檢董事長。委員好。部長。
transcript.whisperx[409].start 11280.633
transcript.whisperx[409].end 11294.069
transcript.whisperx[409].text 我想這次接連兩個颱風我們有發現一個很嚴重的問題當然這個也有可能會比較涉及到NCC不過交通部我想我們有中華電信也要特別請部長跟董事長來幫忙
transcript.whisperx[410].start 11295.63
transcript.whisperx[410].end 11312.582
transcript.whisperx[410].text 我們發現這次因為颱風造成電力中斷結果我們很多鄉鎮的這個通訊系統都造成很大的一個影響電話都不通LINE也不通結果造成指揮中心沒辦法調度所謂救災跟通報的一個系統
transcript.whisperx[411].start 11313.402
transcript.whisperx[411].end 11333.113
transcript.whisperx[411].text 所以我們發現是不是應該在我們各鄉鎮鄉鎮公所甚至附近鄰近應該設置一個抗災的一個通訊的一個基地台甚至請中華電信調度我們一個行動基地的指揮車到我們的災區來做協助這部長是不是可以來幫忙來做溝通這個事情
transcript.whisperx[412].start 11333.553
transcript.whisperx[412].end 11353.533
transcript.whisperx[412].text 報告委員雖然這個是NCC跟蘇發部跟他們比較有關係的業務那確實我們有中華電信可以來協助但是這個部分我會建議未來是不是透過氣象的預報大概知道災區在哪裡因為行動通信的這個基地台行動基地台的部分不可能大量購置太多我們會盡量來努力
transcript.whisperx[413].start 11354.594
transcript.whisperx[413].end 11384.151
transcript.whisperx[413].text 那未來可能我們要希望中華電信能夠看氣象的狀況我們知道這一次的災情尤其在這個山陀的颱風在高雄跟屏東我們有預先看到那邊有可能會有很嚴重的災情的時候這個部分可能就是要行動的這個基地台我們看要怎麼先處理這塊我們就趕快來處理先預作準備委員在提醒的應該是預作準備的部分我們應該要先做應該要先做那如果災情在別的地方我們其他地方也要先做
transcript.whisperx[414].start 11384.571
transcript.whisperx[414].end 11405.656
transcript.whisperx[414].text 對 因為我知道像我們林邊就設了一個固定式的一個抗災專用的基地台就發揮了很大的一個效果所以我們也可以找幾個 抗災的基地台可能拜託中華電信努力看看那其實實際的調度我們到時候的這個災防應變中心其實他們會來做實際上的調度我相信這一次的災情他們也有調度到一些
transcript.whisperx[415].start 11405.916
transcript.whisperx[415].end 11408.538
transcript.whisperx[415].text 委員跟你報告一下對於颱風的災情我們事實上都有掌握另外我們有緊急變中心所以知道颱風從哪個地方進來我們的行動
transcript.whisperx[416].start 11430.653
transcript.whisperx[416].end 11447.102
transcript.whisperx[416].text 衛星基地台車一定會準備好那救災的時候我們一定會趕快到那另外委員所關心的這個基地台的問題我想基地台受電的影響非常大所以我們現在在對比較偏鄉的基地台我們特別有強化他的電池
transcript.whisperx[417].start 11448.302
transcript.whisperx[417].end 11469.976
transcript.whisperx[417].text 備援系統很重要,停電的時候不要說30分鐘一小時就基地台就倒了我們現在有在偏鄉在強化我們基地台縱使停電我們可以撐4小時6小時至少在一緊急的時候我們可以那另外我們的全省的這個行動車大概有20多部所以會依照哪個地區有狀況我們會把車先開到附近來支援這個救災
transcript.whisperx[418].start 11476.28
transcript.whisperx[418].end 11496.997
transcript.whisperx[418].text 謝謝拜託董事長能夠強迫我們這樣的一個防這個任性因為剛剛本席在臨時聽有提到高鐵難演屏東這個議題那本席知道部長上任之後也很積極在做這樣一個溝通那能不能藉這個機會請部長也很明確的告訴我們屏東的鄉親高鐵難演不是夢
transcript.whisperx[419].start 11498.278
transcript.whisperx[419].end 11521.058
transcript.whisperx[419].text 好,感謝委員這麼的關心,其實長期您都在努力,包含我們的鄒村敏縣長,那這個部份交通部也有設定了,我們在今年底之前,我們會設定好我們所選擇的路線,在今年底會公布路線,那公布路線完之後,我們就會實際下去進行準備高鐵藍爺的整個該做的作業,我們都會來進行,這個部份沒有問題。
transcript.whisperx[420].start 11522.379
transcript.whisperx[420].end 11536.055
transcript.whisperx[420].text 市長,我想除了這個高鐵的路線之外,那很重要的是一個六塊錯側站一個雙鐵共構這個部分,那這部分是不是可以加快啟程明年,讓屏東鄉親看得到這樣的一個動工的一個成果?
transcript.whisperx[421].start 11537.176
transcript.whisperx[421].end 11563.042
transcript.whisperx[421].text 委員因為您都很關心而且您有特別有跟我提到這件事那我們希望在今年底之前或者是到明年能夠讓這個六塊錯的車站包含台鐵的這個高架立體化的部分可以趕快來進行因為我有到現場去看過跟楊局長一起到現場去看過周圍的這個都市計畫的部分跟土地的開發的部分其實屏東縣政府相當的努力
transcript.whisperx[422].start 11563.462
transcript.whisperx[422].end 11581.337
transcript.whisperx[422].text 那個進度都已經做得非常的超前那我們認為說在交通網絡的部分高鐵的南延可能還需要一些時間但是台鐵的部分跟六塊錯的車站的部分或許我們可以先行所以我們是不是希望在明年中可以讓大家看到比較具體的進度
transcript.whisperx[423].start 11582.498
transcript.whisperx[423].end 11603.432
transcript.whisperx[423].text 好那這邊再拜託部長除了加快這樣子一個啟程之外未來針對延伸到操作這一部分我想也是我們要努力的方向啦吼我們中間的鄉親大家怎麼跟他一台高鐵來跟我們的中間啦吼這對於我們未來西部的整個高鐵的發展我想是一個正面的一個報告委員我們一步一步來啦吼但是
transcript.whisperx[424].start 11603.752
transcript.whisperx[424].end 11630.731
transcript.whisperx[424].text 你上次跟我講完之後我們有特別溝通我們會留違軌目前高鐵延伸到屏東的部分那我們還會留一個違軌讓它未來有再延伸的可能性這個部分我們會預留著我們一步一步來努力另外就針對屏南快速大陸還有高捷這個我們小港線到林邊這個案子我想本席也持續都有在追蹤那部長這部分是不是到目前為止有沒有照相關的期程在進行
transcript.whisperx[425].start 11631.271
transcript.whisperx[425].end 11631.951
transcript.whisperx[425].text 平南快速道路的部分?
transcript.whisperx[426].start 11654.38
transcript.whisperx[426].end 11669.911
transcript.whisperx[426].text 平南快速公路行政院在今年4月合併可言所以我們已經展開綜合規劃了綜合規劃在9月份的時候我們已經辦了這個起初的一個報告那起初報告綜合規劃完成了因為現在我們的作業綜合規劃跟環評我們會並行
transcript.whisperx[427].start 11672.453
transcript.whisperx[427].end 11701.416
transcript.whisperx[427].text 中和規劃到期中預計在明年的這個3月份我們大概會完成這個期中的一個報告那期中報告在明年年中大概我們期中報告定案以後這個路線比較清楚我們會進行環境影響評估的第一階段的還縮書的作業那所以大概我們會因為他是要二階環評的所以會員報告就是中規跟環評我們會同時啟動只是說有一些部分的話可以重疊的這個期程我們會加速辦
transcript.whisperx[428].start 11701.676
transcript.whisperx[428].end 11719.267
transcript.whisperx[428].text 在這邊還是要請部長跟局長託幫忙,因為之前我們4月份陳建元院長宣布的時候,我們聽到兩年要等工,120年要完工,這個期程真的要掌握一下,這是我們平台平台的一個救命路,真的要拜託一下,我們來努力加速。
transcript.whisperx[429].start 11720.148
transcript.whisperx[429].end 11742.161
transcript.whisperx[429].text 那針對我們整個橫沖半島觀光產業我想最近的一些的包含消費包含美化路被倒入一些污名化的事情那我想對觀光業的衝擊相當的大那尤其我們屏東有兩個機場我覺得屏東的機場還有一個武力艇機場各個都沒辦法做一個航空的一個推廣我想這部分
transcript.whisperx[430].start 11742.581
transcript.whisperx[430].end 11742.601
transcript.whisperx[430].text 請署長
transcript.whisperx[431].start 11764.012
transcript.whisperx[431].end 11780.547
transcript.whisperx[431].text 謝謝委員指導因為墾丁算是我們國家一個非常重要的景區那這個部分我們已經跟這個墾丁國家公園還有這個我們的屏東縣政府一起來做這個秩序的整理那麼再把亮點再點亮
transcript.whisperx[432].start 11784.17
transcript.whisperx[432].end 11801.283
transcript.whisperx[432].text 橫村以南平南地區觀光廊帶有幾個跟地方觀光圈做一些串接我們也會善用明年是正好橫村古城150周年的活動我們用活動來帶動
transcript.whisperx[433].start 11803.284
transcript.whisperx[433].end 11825.905
transcript.whisperx[433].text 我們也希望能夠多留宿所以這邊的民宿的部分我們也特別會來加強以上簡單跟委員報告下我們在大鵬灣也是會做結合我想今年我們臺南建成400年我知道交通部跟觀光署也大力支持明年我們恆春建成150週年我想這個是一個很重要的歷史事件
transcript.whisperx[434].start 11826.385
transcript.whisperx[434].end 11826.405
transcript.whisperx[434].text 臺灣媒體
transcript.whisperx[435].start 11843.715
transcript.whisperx[435].end 11843.875
transcript.whisperx[435].text 徐富奎委員
transcript.whisperx[436].start 11873.53
transcript.whisperx[436].end 11882.719
transcript.whisperx[436].text 接著有請我們陳淑月召委發言謝謝主席 請主席邀請陳部長請陳部長
transcript.whisperx[437].start 11893.643
transcript.whisperx[437].end 11897.825
transcript.whisperx[437].text 交通建設會關係地方經濟產業發展也關係民眾鄉親生活品質交通的便利性張化縣東南角田中二水區塊
transcript.whisperx[438].start 11917.761
transcript.whisperx[438].end 11936.49
transcript.whisperx[438].text 路線就是比較不完善比較欠缺交通建設所以在這邊首先也要感謝交通部在106年11月17號的時候就合訂了東張道路藍岩段工程納入生活圈的道路計畫裡面然後也確定了補助的經費
transcript.whisperx[439].start 11937.851
transcript.whisperx[439].end 11941.373
transcript.whisperx[439].text 當時合併的時候106年是衛明谷縣長任內經過了也6年多的時間目前東張道路藍岩段本來它的時程是預計今年10月要完工那看起來應該是會在過年左右就是農曆過年前
transcript.whisperx[440].start 11957.382
transcript.whisperx[440].end 11976.942
transcript.whisperx[440].text 應該是可以完工通車的了所以即使在東張道路藍岩段新P工程在規劃定案之後呢那二水田中這邊的鄉親他們就一直有在關心就是說希望這個東張道路藍岩段未來完成到二水的時候從二水可以
transcript.whisperx[441].start 11977.362
transcript.whisperx[441].end 11977.782
transcript.whisperx[441].text .施政委員
transcript.whisperx[442].start 11993.374
transcript.whisperx[442].end 11993.754
transcript.whisperx[442].text 立法院交通委員會
transcript.whisperx[443].start 12012.822
transcript.whisperx[443].end 12041.958
transcript.whisperx[443].text 那很明確的就是在2020年11月9號當時的林交通部長那時候我們有下去考察那當然就是說當時的交通部也是支持說未來規劃能夠來銜接國道3號就是要用橋樑的方式可是這個路線當時應該還沒有很明確那在2022年10月26號當時那個王國采部長任內我們也有再次的去二水就是
transcript.whisperx[444].start 12043.959
transcript.whisperx[444].end 12071.777
transcript.whisperx[444].text 那時候當然初步有一個方案就是這個張嵐大橋的一個方案可是這個方案當時我們對於彰化縣的鄉親的角度來說他們是希望能夠就這個張雲大橋的這個路線然後去銜接林內交流道這樣子可以讓我們二水的鄉親更便利然後在工程的這個經費上也是可以
transcript.whisperx[445].start 12072.297
transcript.whisperx[445].end 12072.638
transcript.whisperx[445].text 對沒錯 現在在課堂當中
transcript.whisperx[446].start 12097.478
transcript.whisperx[446].end 12111.338
transcript.whisperx[446].text 那我們在這個交通委員會考察之後那我們也看到了這個雲林縣的張縣長還有張化的王縣長都支持所以他們兩位縣長也大張旗鼓的開了記者會
transcript.whisperx[447].start 12113.281
transcript.whisperx[447].end 12116.784
transcript.whisperx[447].text 對外宣誓,簽了意向書,共同推動國道3號增設林內交流道,讓彰化與雲林的生活圈更緊密,讓交通更便利這是站在彰化縣鄉親的角度
transcript.whisperx[448].start 12135.183
transcript.whisperx[448].end 12136.464
transcript.whisperx[448].text 委員會委員會委員會
transcript.whisperx[449].start 12156.67
transcript.whisperx[449].end 12156.69
transcript.whisperx[449].text 張嬅大橋
transcript.whisperx[450].start 12181.887
transcript.whisperx[450].end 12194.546
transcript.whisperx[450].text 張宇大橋張宇目前應該是雲林那邊還在他們可以來申請做可行性研究正在做可行性研究那這個部分還在等待他們送過來目前是還沒有送過來
transcript.whisperx[451].start 12196.851
transcript.whisperx[451].end 12224.487
transcript.whisperx[451].text 當然就是說對於地方的一個發展讓這個生活圈更緊密我們當然就是說對這個南投縣政府還有地方他們民意代表的爭取這個張嵐大橋銜接這個南雲交流道我們也都支持也都樂觀其成那我們二水鄉親更期盼的是我們希望更能夠更便利的這個距離更近的這樣子的一個張雲大橋銜接林內交流道的
transcript.whisperx[452].start 12225.267
transcript.whisperx[452].end 12243.597
transcript.whisperx[452].text 的建設規劃,那部長是不是可以支持?是,這個我們都支持,但是一個是張雲的部分,我們在等待雲林縣政府他們的可行性研究的部分,那另外張南大橋的部分,我們也同意要補助他的這個可行性研究的這個經費,那我們要等待這個南投縣政府那邊提上來給我們。
transcript.whisperx[453].start 12244.597
transcript.whisperx[453].end 12267.32
transcript.whisperx[453].text 是好那現在就是說有關這個章雲大橋偵測理內交流道這樣子的一個地方期盼的一個交通建設目前程序就是在地方政府還在還沒有提出可行性研究的委員關心了很久這個部分他們也正在做可行性研究我們就等待他做可行性研究跟評估出來之後我們再來做討論
transcript.whisperx[454].start 12267.841
transcript.whisperx[454].end 12287.612
transcript.whisperx[454].text 是,那我們可以請交通部也主動關心一下嗎?沒有問題,我們就請高工局直接去跟雲林縣政府去督促一下,或者是去了解一下他的進度做到哪裡了。是,好,希望就是說我們這樣子的地方,鄉親的一個期盼能夠看到這個進度。是,是,好。
transcript.whisperx[455].start 12288.072
transcript.whisperx[455].end 12309.359
transcript.whisperx[455].text 那接下來本席也來關心一下這個假車牌的狀況因為我們也看到就是說這個國內假車牌真的是非常的猖獗而且他這個件數是有持續增加的這樣子的一個趨勢那不曉得說部長有去了解過說為什麼會有這樣子的一個趨勢
transcript.whisperx[456].start 12311.573
transcript.whisperx[456].end 12331.122
transcript.whisperx[456].text 一方面他可能購買的方面比較容易啦網路上其實只要上網去買在過去很容易就買得到這是個問題那另外就是說很像是被調扣車牌的人註銷車牌的人不少那被註銷他又想要用那台車他就會上網去買這個假車牌來使用
transcript.whisperx[457].start 12334.294
transcript.whisperx[457].end 12348.213
transcript.whisperx[457].text 假車牌的猖獗對於地方基層的警力他們的執法壓力也非常的大因為我們看到最近10月15號才又發生了一件假車牌車輛拒檢逃逸而且在
transcript.whisperx[458].start 12348.733
transcript.whisperx[458].end 12354.978
transcript.whisperx[458].text 對於警方或者是說對於這個路過的駕駛可能也是會被波及有這個安全的一個問題所以我們也是希望就是說在這個部分我們是不是有更積極的這種防偽的一些積極的作為
transcript.whisperx[459].start 12371.286
transcript.whisperx[459].end 12374.949
transcript.whisperx[459].text 車牌防偽機制功能設計多道防偽功能明年度加強防偽功能
transcript.whisperx[460].start 12392.109
transcript.whisperx[460].end 12393.49
transcript.whisperx[460].text 車牌是屬於汽車所有人的處罰
transcript.whisperx[461].start 12412.071
transcript.whisperx[461].end 12435.945
transcript.whisperx[461].text 是 那我們有可能就是說改由從人不從車的這種角度嗎這個目前包括因為假車牌的部分的話它涉及違反這個行政法的道路交通管理處罰條例還有刑法的部分那包括這一個法務部跟這個交通部其實我們都有在研議就是說整個要怎麼樣加重處罰包括就是說也有提到就是說可能要做相關的一個末路車輛的一個研議
transcript.whisperx[462].start 12437.239
transcript.whisperx[462].end 12438.2
transcript.whisperx[462].text 接下來邀請林德福委員質詢
transcript.whisperx[463].start 12472.954
transcript.whisperx[463].end 12480.956
transcript.whisperx[463].text 謝謝主席是不是請陳部長還有臺北市協運局的陳副局長新北的王副局長協運局陳部長是委員好陳夕要請教
transcript.whisperx[464].start 12501.66
transcript.whisperx[464].end 12515.939
transcript.whisperx[464].text 本期是關心中和光復線的捷運整個規劃進度這條路是中永和鄉親都非常支持而且不分朝野黨派都支持興建它是從中和秀樑橋頭
transcript.whisperx[465].start 12517.681
transcript.whisperx[465].end 12544.039
transcript.whisperx[465].text 一直拉拉到大巨蛋那裡其實可以解決很多問題其實本席在今年年初那時候也召開過一個協調會結果交通部也支持新北市捷運局也支持臺北市捷運局也支持解決就是當地交通阻塞的問題因為每天上下班那裡都塞得很嚴重
transcript.whisperx[466].start 12547.282
transcript.whisperx[466].end 12565.823
transcript.whisperx[466].text 本期是希望說2025年這個臺北市決定這個建設的整體網路評估未來是送到交通部這個核准備查時希望交通部長陳部長能夠全力支持來協助同一列路優先的這個路網
transcript.whisperx[467].start 12567.585
transcript.whisperx[467].end 12587.996
transcript.whisperx[467].text 讓綜合公務線及早啟動可行性研究是報告委員這個案子已經核准被查這個沒有問題我們也都支持那目前的可行性研究我想新北還是臺北市政府他們應該都已經在發包新北市新北市可行性研究也都已經在發包的作業當中因為當地確實實篩的很嚴重發包的前置作業當中
transcript.whisperx[468].start 12589.997
transcript.whisperx[468].end 12610.522
transcript.whisperx[468].text 好不好陳部長另外第二個問題就是剛剛我們的召委也特別提到就是懸掛假車牌的問題陳處不窮這幾天新聞看到警方在查及假車牌案件本席認為以現行的法令使用假車牌的處罰太輕
transcript.whisperx[469].start 12612.182
transcript.whisperx[469].end 12613.604
transcript.whisperx[469].text 加重的方向我們已經在研議但是時間上大概多久有辦法說明
transcript.whisperx[470].start 12628.931
transcript.whisperx[470].end 12655.876
transcript.whisperx[470].text 這個部分的話就是在部裡面的話就是已經在進行的我想部的這個草案的話我會盡快我是希望盡快這個包括酒駕零容忍也是全體這個人民的一個共識自從立法這個立法院要求設立酒駕雷患公佈姓名的專區後終於讓外界知道酒駕連續患真的是層出不窮
transcript.whisperx[471].start 12657.256
transcript.whisperx[471].end 12664.689
transcript.whisperx[471].text 一而再再而三因為酒駕以後甚至於沒有駕照開車經交通部統計10年內第三次酒駕累患或
transcript.whisperx[472].start 12671.911
transcript.whisperx[472].end 12700.416
transcript.whisperx[472].text 據測累犯這個駕照無效的人數合計有19000多人那各界呼籲說酒駕累犯要沒收車輛其實跟那個假車牌一樣我認為說在最短時間這個才可以你把他車輛沒錄我認為那是最佳的一個做法他們才會怕不然的話你看酒駕累犯到最後一些無辜受害者經常會發生部長你什麼看法
transcript.whisperx[473].start 12701.394
transcript.whisperx[473].end 12726.79
transcript.whisperx[473].text 報告委員您所說的這個方向 剛好也是我們正在演繹的方向我是認為 酒駕的累犯確實是應該要再更加重要立竿見影 要趕快把它做好去年已經有加重過一次那另外您剛剛在垂詢的這個 有關於這個假車牌的部分這個加重刑責的那個罰則的部分我們大概在3個月之內可以完成我是認為越快越好 那個要是能夠盡快也是功德一件
transcript.whisperx[474].start 12730.012
transcript.whisperx[474].end 12744.803
transcript.whisperx[474].text 國際旅客來臺今年1月剛破500萬人次今年1月到現在但是今年本來有差不多1000萬的目標恐怕難以達成今年出國的人數已經突破1000萬
transcript.whisperx[475].start 12746.644
transcript.whisperx[475].end 12754.429
transcript.whisperx[475].text 那交通部觀光署在2021年公布臺灣觀光邁向2025的方案報告預估2025年來臺旅客可達到1186萬之間就是明年那請問陳部長2025年國際來臺觀光人數是否會重新設定目標多少如果這個不計算大陸觀光客來臺國際來臺觀光的人數目標交通部大概你們會設定多少
transcript.whisperx[476].start 12776.544
transcript.whisperx[476].end 12776.676
transcript.whisperx[476].text 本集完
transcript.whisperx[477].start 12777.128
transcript.whisperx[477].end 12805.327
transcript.whisperx[477].text 報告員我們今年所看到到目前為止的數字就很接近您剛剛所說的不加計對岸來台的大概就是這個數字那到年底我們的目標當然還是1000萬但是或許不容易達到那我們會看到時候達到的狀況到什麼地方那我跟委員報告如果要說明年明年我們會比較務實一點不要去加計原本對岸會來台的期望這個部分我們期望只可能放低一點
transcript.whisperx[478].start 12807.268
transcript.whisperx[478].end 12807.288
transcript.whisperx[478].text 對啦
transcript.whisperx[479].start 12823.348
transcript.whisperx[479].end 12838.593
transcript.whisperx[479].text 最後一個議題因為機場服務會可以強化整個機場的建設與淘機公司財務的體質那機場服務會半數收入都同時也投入觀光發展基金媒體報導這個桃園機場公司將評估檢討收費對此交通部是不是會考慮在2025年調漲機場的一個服務費
transcript.whisperx[480].start 12849.336
transcript.whisperx[480].end 12872.123
transcript.whisperx[480].text 報告委員機場的服務費目前是500塊那確實我們因為第三航廈正在蓋而且我們的第三跑道也正要努力來蓋的過程當中對於這個淘機來講他們的這個財務的狀況確實是負擔相當相當重所以社會上有這樣子的討論而且大家有討論到說相當的多人在使用這個機場那出國的人數也不少
transcript.whisperx[481].start 12873.084
transcript.whisperx[481].end 12888.056
transcript.whisperx[481].text 我們希望臺灣的觀光能夠做得更好因為過去的機場服務會像委員您剛剛所說的有一部分的經費其實是來益助在臺灣的觀光業的發展那這個部分對臺灣觀光業也很重要那所以目前確實是社會上有這樣的討論那我想淘機也針對他們自己的財務的狀況也應該有做類似這樣的評估
transcript.whisperx[482].start 12893.581
transcript.whisperx[482].end 12908.443
transcript.whisperx[482].text 因為你能夠出國其實加個幾百塊我認為大體多數人會支持那你服務做得更落實更好而且講實在話我們很多觀光地區需要加強為什麼因為很多人來過以後認為說
transcript.whisperx[483].start 12910.245
transcript.whisperx[483].end 12910.345
transcript.whisperx[483].text 臨登府委員資訊
transcript.whisperx[484].start 12937.655
transcript.whisperx[484].end 12947.225
transcript.whisperx[484].text 本席在這邊先做一下宣告那早上的會議在李昆城委員質詢之後我們中午休息那接下來邀請黃建斌委員質詢謝謝主席主席我們請部長請陳部長
transcript.whisperx[485].start 12965.677
transcript.whisperx[485].end 12994.515
transcript.whisperx[485].text 部長好 委員好部長在執行之前必須為我們的這個公路局還有這個台鐵的效率表示讚賞本期在禮拜一在委員會執行這個南迴災害的時候今天就派員到現場窺看大陣仗的去看那民眾感受非常的強烈就是說今天要好這個要讚賞不過這邊好像本期辦公室都沒有收到通知這個部分是不是
transcript.whisperx[486].start 12996.383
transcript.whisperx[486].end 13004.786
transcript.whisperx[486].text 要,其實我也會要求我們的各局署,未來所有的會刊在地方的時候,因為都跟區域的立委都相當的有關,都應該要通知,這個必須要通知。
transcript.whisperx[487].start 13019.531
transcript.whisperx[487].end 13021.313
transcript.whisperx[487].text 臺東交通很重要,臺東未來鐵公路中斷時要力拼三個小時就要疏通,我們整個花東輸運計畫的SOP具體是什麼?
transcript.whisperx[488].start 13040.035
transcript.whisperx[488].end 13066.036
transcript.whisperx[488].text 具體的如果您要文字內容我們可以提供給委員但是我們是希望三個小時之內例如說如果是蘇花的那一段中段的時候我們趕快啟動南回就是臺東的部分南回的不管是公路運輸也好或者鐵道運輸在上上一次的這個中段的過程當中我們就馬上來啟動那啟動他的火車不只是到運送到西部我們還會拜託高鐵配合配合台鐵的班次到達之後怎麼樣在
transcript.whisperx[489].start 13066.916
transcript.whisperx[489].end 13089.758
transcript.whisperx[489].text 在做西部的輸運這是一個那再來空運的部分我們會馬上加強上來就是說當它一中斷我們三個小時之內趕快調派飛機去拜託航空公司處理飛機的部分但是船運的部分其實會速度比較慢因為現在我們就是靠新台馬輪那大概要一兩天的時間才有辦法過來這個是比較後面但是我們未來希望能夠建立藍色公路如果假使我們平常時就有船運在跑
transcript.whisperx[490].start 13090.379
transcript.whisperx[490].end 13119.184
transcript.whisperx[490].text 那未來如果發生陸運的狀況的時候部長非常好陸海工都考慮到了非常的完善不過部長其實在這一次山坡和颱風的時候你的SOP完全沒有效果就是在上個禮拜而已是因為你連任的豪宇整個南迴你講到南迴部分南迴公路第一個預防性的封路就是新香港到大武這一段整個封路陸運公路不行然後台鐵部分因為大水沖刷火車不行
transcript.whisperx[491].start 13119.804
transcript.whisperx[491].end 13120.364
transcript.whisperx[491].text 臺東是北中南東完全被隔絕
transcript.whisperx[492].start 13137.335
transcript.whisperx[492].end 13154.325
transcript.whisperx[492].text 我們其實臺東仰賴就是鐵公路我們臺東才會發那個飛機像本席有遇到飛機飛到臺東的上空就原路折返然後本席必須再到臺北坐高鐵到高雄如果晚上沒車要請人到高雄接駁到臺東這個是臺東目前
transcript.whisperx[493].start 13157.222
transcript.whisperx[493].end 13158.343
transcript.whisperx[493].text 臺風是比較特殊的狀況臺風我剛才在講的海跟不可能
transcript.whisperx[494].start 13174.042
transcript.whisperx[494].end 13198.968
transcript.whisperx[494].text 部長這是你災害的SOP對但是實際上委員颱風正在走的那個過程當中任何SOP都沒有用而且當時是全國在放假的狀況底下我不可能恢復空運跟海運這是必然的那空運的部分跟委員報告其實我們的南回公路它的強度算是蠻強的抗災強度蠻強所以在當時您的狀況是還有辦法走公路回到台東
transcript.whisperx[495].start 13199.488
transcript.whisperx[495].end 13222.11
transcript.whisperx[495].text 委員長我是在颱風前回去在颱風的時候跟委員報告有些時間是停的部長針對這一個部分未來運營也希望兩週內會將SOP送到本席辦公室好不好接下來我們要跟討論公路的部分就是台九縣關於我們交通部支持台九縣的關於本席非常感謝
transcript.whisperx[496].start 13224.572
transcript.whisperx[496].end 13226.175
transcript.whisperx[496].text 民眾對於道路的拓寬一直有爭議
transcript.whisperx[497].start 13235.715
transcript.whisperx[497].end 13262.367
transcript.whisperx[497].text 臺九縣的拓寬上面是不是請局長跟國務委員報告我了解因為道路的拓寬會涉及到房屋的拆遷那大概就是說在臺東有一些路段的部分大概民眾還是希望就是說這個寬度不要那麼寬然後可以減少拆遷那這個部分我想我們當然也有在做相關的溝通只是說因為整段的臺九縣從花蓮到臺東
transcript.whisperx[498].start 13265.369
transcript.whisperx[498].end 13292.35
transcript.whisperx[498].text 確實當初的一個規劃設計是從30米寬度來做相關的規劃還是要聽取地方的意見因為其實我這邊補充一下當時我們的目前我們現在的總統賴清德總統在當時當行政院議長的時候推動了地方創生地方創生的精神是什麼適地適用那我們講到的這個比如說粵美啊瑞豐啊這些地段啊他是長期形成的一個聚落啦那因為你為了要拖
transcript.whisperx[499].start 13293.467
transcript.whisperx[499].end 13317.193
transcript.whisperx[499].text 民眾都支持拓寬一次要拉到30公尺他整個地形地方完全改變甚至影響到民生的問題這部分我們本席要代表當地的居民來跟部裡面這邊來反映我想現在很強調我們公共的治理是公民參與這件事情那不是過去由上而下應該是聽取地方的意見來做這樣的調整那這部分是不是
transcript.whisperx[500].start 13317.853
transcript.whisperx[500].end 13318.493
transcript.whisperx[500].text 接下來邀請李坤澄委員質詢
transcript.whisperx[501].start 13355.043
transcript.whisperx[501].end 13356.586
transcript.whisperx[501].text 謝謝主席,我們請陳部長
transcript.whisperx[502].start 13367.805
transcript.whisperx[502].end 13388.635
transcript.whisperx[502].text 本席今天就是要來爭取一下三重區的交通建設我們賴總統還有宣誓大概除了現在在執行中的特別預算之外我們大概之後不會再用特別預算的方式來編列一些比如說軌道建設或是其他的一些建設等等
transcript.whisperx[503].start 13389.275
transcript.whisperx[503].end 13390.436
transcript.whisperx[503].text 明年度的預算從1190億增加到1579億成長率是32%高出來這麼多的預算其實很多都是屬於這個
transcript.whisperx[504].start 13408.875
transcript.whisperx[504].end 13409.295
transcript.whisperx[504].text 臺北北環南環新北桃園
transcript.whisperx[505].start 13438.455
transcript.whisperx[505].end 13455.627
transcript.whisperx[505].text 結運航空城的這個結運還有臺中的這個藍線高雄的這個黃線這些加起來這些預算加起來這個大概會越來越高 越來越高那所以說這個在去在明年的計畫是編了大概74億那未來還要編1900多億那我就請問一下
transcript.whisperx[506].start 13460.791
transcript.whisperx[506].end 13473.073
transcript.whisperx[506].text 那如果說我們不用這個特別預算來因應的話那接下來這個是屬於這個捷運軌道建設高峰期這些錢哪裡來?那夠不夠?會不會排擠到你們交通部的其他的預算?
transcript.whisperx[507].start 13474.786
transcript.whisperx[507].end 13492.663
transcript.whisperx[507].text 這個部分我們也會努力來編列啦重點是只要立法院如果同意或者是支持的話其實我覺得預算的編列應該是還好主計總處也會協助我們來做這方面的編列因為我也問過主計總處啦那他其實也是有提到就是說那如果說本來是屬於特別預算的部分現在編入到這一個年度預算
transcript.whisperx[508].start 13493.363
transcript.whisperx[508].end 13498.711
transcript.whisperx[508].text 這的確會有排擠的一些效應應該多少會有那我現在講到說這個停車場那停車場這個計畫本來是屬於前瞻的這個計畫那這個前瞻的計畫本來你們是編了這個多少
transcript.whisperx[509].start 13506.417
transcript.whisperx[509].end 13525.32
transcript.whisperx[509].text 編了大概是200億後來都增加60億那現在我也一直跟我們這個城區長也有跟他提出來就是說我們三重區的一些需求就是說這個之前在我們三重有蓋了這個六座停車場如果沒有這個前瞻計畫的這個特別預算支持大概很難蓋下去
transcript.whisperx[510].start 13525.9
transcript.whisperx[510].end 13526.42
transcript.whisperx[510].text 五個地下停車場需要中央
transcript.whisperx[511].start 13543.367
transcript.whisperx[511].end 13564.043
transcript.whisperx[511].text 這個全部的需要中央補助預算就高達17億啦就高達17億那我請教一下那現在屬於這個前瞻預算的這個停車場預算已經用完了嘛這個已經本來是200億或增加60億到260億已經用完了那現在這個交通部有個計畫再跟行政院來爭取多了60億那這60億到底行政院有沒有同意要給
transcript.whisperx[512].start 13565.166
transcript.whisperx[512].end 13580.462
transcript.whisperx[512].text 目前的進度是跟各位報告我們在增加60億這個部分的話交通部已經在7月份已經報這一個行政院那行政院現在交國發會國發會再會整各部會的一個意見那我想我們會持續追蹤
transcript.whisperx[513].start 13582.563
transcript.whisperx[513].end 13602.093
transcript.whisperx[513].text 其實委員你相當關心這個議題啦行政院的部分你也有跟他們講過所以我想行政院的態度應該會朝向正面我們希望他們朝向正面但目前程序上是還沒有走過沒錯我是希望說你們有沒有一個期限就是說大概哪時候可以行政院這方面大概哪時候可以通過這60億的多了這60億來蓋地下停車場
transcript.whisperx[514].start 13605.354
transcript.whisperx[514].end 13606.716
transcript.whisperx[514].text 臺灣有地下停車場需求
transcript.whisperx[515].start 13623.336
transcript.whisperx[515].end 13640.273
transcript.whisperx[515].text 那你一旦這個屬於前瞻預算的停車場部分你用完了那你們增加60億那我們是希望說能夠爭取就是盡量爭取但是期限也要盡快把它完成但是我也發現到說你們未來對於這個每個停車場的補助大概就是2億為上限
transcript.whisperx[516].start 13646.18
transcript.whisperx[516].end 13670.879
transcript.whisperx[516].text 其實我們大概跟行政院報61是因為說其實全國各縣市的需要中央補助的這個經費我們大概有概估了那停車場的補助基本上其實是扣掉了自償率因為停車場將來會有收費收入扣掉自償率以後依各縣市政府的財力等級去這一個補助我們現在其實也並沒有一個兩億元上限的一個選擇他其實有一定的公式
transcript.whisperx[517].start 13672.5
transcript.whisperx[517].end 13672.86
transcript.whisperx[517].text 五華國小應該確定會補助了嗎?
transcript.whisperx[518].start 13703.057
transcript.whisperx[518].end 13703.798
transcript.whisperx[518].text 新谷國小已經在蓋了
transcript.whisperx[519].start 13724.132
transcript.whisperx[519].end 13724.393
transcript.whisperx[519].text 李崑成委員
transcript.whisperx[520].start 13751.393
transcript.whisperx[520].end 13752.314
transcript.whisperx[520].text 現在休息下午兩點繼續開會
transcript.whisperx[521].start 13770.306
transcript.whisperx[521].end 13770.466
transcript.whisperx[521].text 委員會委員會委員會
transcript.whisperx[522].start 13791.208
transcript.whisperx[522].end 13791.368
transcript.whisperx[522].text 主席
transcript.whisperx[523].start 19798.766
transcript.whisperx[523].end 19798.966
transcript.whisperx[523].text 楊瓊英委員
transcript.whisperx[524].start 19820.762
transcript.whisperx[524].end 19845.264
transcript.whisperx[524].text 部長好來自台中也經過台中民意的一個洗禮過所以你更了解我們全國的路網那所以我們實質來討論我們自己的家台中2019年的時候呢那麼交通部長林佳龍部長當時他也非常的關心所以他公開的承諾也就是連結苗栗、三義、高蘭、台中、奧栗
transcript.whisperx[525].start 19846.665
transcript.whisperx[525].end 19847.125
transcript.whisperx[525].text 實驗了三個部長:
transcript.whisperx[526].start 19867.572
transcript.whisperx[526].end 19867.872
transcript.whisperx[526].text 麥克風請壓下去 時間暫停
transcript.whisperx[527].start 19894.205
transcript.whisperx[527].end 19911.819
transcript.whisperx[527].text 這個對地方的觀光來講很重要進度的部分我請台鐵來跟您報告好請跟委員報告現在我們正在擬定董事長也跟我去看過對我看過三次對我們就依據先前我們去會刊的一個方式我們現在在報部程序
transcript.whisperx[528].start 19912.179
transcript.whisperx[528].end 19912.719
transcript.whisperx[528].text 臺中地區大眾捷運系統整體入網的評估計畫
transcript.whisperx[529].start 19938.312
transcript.whisperx[529].end 19943.196
transcript.whisperx[529].text 重德豐原縣經過人潮密集和學區,整體效應非常大,請問部長,我們什麼時候要核定補助地方的經費?你們什麼時候啟動可行性評估?
transcript.whisperx[530].start 19961.972
transcript.whisperx[530].end 19989.89
transcript.whisperx[530].text 那第三個議題也就是我一定要充分給你建議一定要延伸到封園隔壁就是神崗對我們社交交流都一定要延伸到神崗來請做說明這三點好跟委員報告這條線的這個可行性研究的這個核定對我們來講經費的部分我們有跟臺中市政府那邊有溝通過他們目前的想法是比較高但是我們因為有一定的計算公式依我們的計算公式大概是1500萬左右
transcript.whisperx[531].start 19992.406
transcript.whisperx[531].end 20018.023
transcript.whisperx[531].text 一千五百萬左右那中央補助的比例差不多一千一百萬左右但是台中市政府跟我們說現在發包不太容易那我們會協助他來做發包可行性研究的部分我們會趕快來做一定要跟地方好好溝通趕快去把它完成以完成為目標我們這兩天有跟台中市政府的相關單位有去溝通了那我們要這個經費呢你暫定了嗎您是說這個可言的部分嗎可言已經說了
transcript.whisperx[532].start 20020.595
transcript.whisperx[532].end 20044.943
transcript.whisperx[532].text 那預算的部分要等他可行可言出來我們就依照要高額的補助我們台中因為台中不斷那接下來一個議題崇德這個豐原縣要延伸到這個神崗因為他在隔壁而已這個您積極在爭取因為他交流到對我覺得這個部分可以在可言的過程當中我們跟台中市政府來溝通一定要納入把這個部分把它納入來討論
transcript.whisperx[533].start 20045.583
transcript.whisperx[533].end 20045.803
transcript.whisperx[533].text 臺中山海環線卡關10年
transcript.whisperx[534].start 20066.243
transcript.whisperx[534].end 20086.497
transcript.whisperx[534].text 在交通委員會本席也跟你的次長討論過也就是我們修正為三個指向三個指向在海線以及山線的部分那麼我們現在臺中市政府積極在研議積極在修正依照你們的指示所以我們盡快會送上來送上來也承諾要盡快去審核核定我們的目標也就是趕快執行那接下來就是甲貨線
transcript.whisperx[535].start 20094.042
transcript.whisperx[535].end 20094.483
transcript.whisperx[535].text 假貨線目前的進度
transcript.whisperx[536].start 20101.081
transcript.whisperx[536].end 20122.575
transcript.whisperx[536].text 三個指向其他兩個指向您應該都很清楚在進度上您都有問題假後線是一個新增的路線那新增的路線有兩個可能性就是第一個可能性由台鐵他們去研議有沒有這個需求性有需求性或許台鐵可以做那第二個可能性其實要由地方政府來研議如果地方政府他們研議有可能性可以由地方來贏
transcript.whisperx[537].start 20124.056
transcript.whisperx[537].end 20126.998
transcript.whisperx[537].text 委員您在要求的部分我們有理解到您的要求理解到是要不要積極去推動
transcript.whisperx[538].start 20148.639
transcript.whisperx[538].end 20173.252
transcript.whisperx[538].text 我剛有說過因為它過去不是一條原本就有的鐵道它是新增的鐵道那新增的鐵道我們會由台鐵去研議有沒有這個需求有這個需求我們大概會做不是如此的回答本席不同意因為這已經是由行政院合併將這一條綠線拆成三項指向所以這是既定政策務必要去執行本席告訴你
transcript.whisperx[539].start 20173.903
transcript.whisperx[539].end 20192.668
transcript.whisperx[539].text 我們也希望能夠往前推動啦其實當時我在擔任議員的時候你自己本身也一直講了很多次積極追蹤進度一定要推動好不好認同嗎進度的部分我來了解沒問題最後一個議題也就是我們國道四號清水道風源段
transcript.whisperx[540].start 20193.652
transcript.whisperx[540].end 20209.671
transcript.whisperx[540].text 我們當時2001年的時候你後風交流道設置西入東出哪有一個建設只做一半你的東入西出沒有害了我們整個我們每一天都在那邊塞車
transcript.whisperx[541].start 20211.033
transcript.whisperx[541].end 20211.073
transcript.whisperx[541].text 主席
transcript.whisperx[542].start 20231.992
transcript.whisperx[542].end 20232.332
transcript.whisperx[542].text 委員會主席
transcript.whisperx[543].start 20260.531
transcript.whisperx[543].end 20270.8
transcript.whisperx[543].text 10年前那個地方的交通量可能還沒有到達那個程度那現在10年後確實那個地方開始有在塞車了所以有這樣的需求我們來協助看地方政府的部分
transcript.whisperx[544].start 20275.595
transcript.whisperx[544].end 20295.288
transcript.whisperx[544].text 你趕快協助我們務必要做你已經說了人口增加到這個地方沒有問題委員但是這個必須要地方政府來提出我們地方政府提出你給我們撥走那個可行性評估當然講清楚市府要提出我們地方政府提出可行性評估你們來補助你同意補助嗎我們趕快會提出可行性評估的部分由地方自籌
transcript.whisperx[545].start 20303.622
transcript.whisperx[545].end 20316.45
transcript.whisperx[545].text 這次你中央你中央當時只有做半套啊那頂多是200萬左右的經費啊你幫我導著你當時你一定有預期效果
transcript.whisperx[546].start 20317.935
transcript.whisperx[546].end 20325.6
transcript.whisperx[546].text 你只有做半套當然是你的責任來可行性評估我們台中市政府等一下等一下可行性評估趕快提出來因為這是面臨目前我們社會所需好不好我們市府提出你來補助好不好部長等一下我們也請你回來後面的規劃設計交通部會來協助但是過去可能沒有的案例沒有你要照程序可行性評估對不對
transcript.whisperx[547].start 20347.506
transcript.whisperx[547].end 20364.293
transcript.whisperx[547].text 部長不是錢的問題啊對啊錢是問題啊我也很想協助對但是要看他們的規定上可不可以這是第一個當然可以因為你做半套地方政府的部分我們盡量來協助我們地方政府來提出你來補助好不好因為目前需要這個方式嘛部長你請你回答我
transcript.whisperx[548].start 20369.427
transcript.whisperx[548].end 20387.893
transcript.whisperx[548].text 你請你回答我中央政府只做砸到做一邊導致目前我們這樣子的擁擠沒有理由不解決我們所以本席具體建議可行性評估由台中市政府提出你們來補助我們趕快言你不要再脫頭了我一年要增加多少人口
transcript.whisperx[549].start 20389.113
transcript.whisperx[549].end 20396.657
transcript.whisperx[549].text 我們來討論有沒有這樣的可能性不是討論可能性你要答應我我希望朝這個方向所以要趕快來努力要不然你做半套導致我們擠得這麼嚴重尤其我們的北端淡柱這個區塊風源是人口數急劇增加最多
transcript.whisperx[550].start 20406.783
transcript.whisperx[550].end 20411.085
transcript.whisperx[550].text 臺中市政府提出可行性評估的方案上來你來補助好不好好 謝謝謝謝楊瓊瑜委員接下來邀請圖全級委員質詢
transcript.whisperx[551].start 20443.845
transcript.whisperx[551].end 20444.066
transcript.whisperx[551].text 陳世凱陳部長
transcript.whisperx[552].start 20455.438
transcript.whisperx[552].end 20483.281
transcript.whisperx[552].text 好部長在上週總之學的時候本席有提出針對我們國道1號羊頭道路拓寬工程那時候也有請我們院長跟部長來到我們現場去勘查會刊那我們也收到回文也感謝我們卓院長列入承諾事項那請問這部分有沒有辦法一個月內安排一下到我們陽梅那因為陽梅香氣真的很期盼大家去來現場會刊這個很重大的工程
transcript.whisperx[553].start 20484.975
transcript.whisperx[553].end 20500.444
transcript.whisperx[553].text 委員長的部分我沒辦法幫他承諾但是我的部分我其實最近上個禮拜也去桃園這個禮拜也去桃園那下一週或下下週我再盡量安排時間如果時間上可以的話我盡量到現場去看我們很關心楊梅的那個交流道的問題
transcript.whisperx[554].start 20502.965
transcript.whisperx[554].end 20520.335
transcript.whisperx[554].text 休息站的部分有沒有移動的問題我們先現場看一下那也感謝部長表示對這個案子部長也有在研究那也希望因為主要現在就是南路閘道的部分要撤銷這個休息站避免到時候有二次徵收的問題我們也希望這個羊頭
transcript.whisperx[555].start 20522.236
transcript.whisperx[555].end 20549.465
transcript.whisperx[555].text 道路拓寬工程能夠跟我們北出南路閘道一次來一起納入一起來施作好避免這二次徵收跟施工後造成地方很大的困擾是好好這部分來請我們部長再盡量多幫忙好還有我們針對我們國道1號好國道1號楊梅交流道好國道1號楊梅交流道他這個北出的閘道因為現在
transcript.whisperx[556].start 20550.845
transcript.whisperx[556].end 20576.3
transcript.whisperx[556].text 常常衍生很多交通的問題因為這個陽梅交流道北出閘道它現在有兩個閘道都是銜接台一線那常常往埔心方向的地方它鄰近台一線跟裕城路口所以它這個路口反應的時間很短因為它大概只有300公尺所以用路人常常在這邊都反應不急常常車子也壓到曹化線而且
transcript.whisperx[557].start 20576.86
transcript.whisperx[557].end 20597.856
transcript.whisperx[557].text 因為他右邊玉城路那邊是陽梅體育園區所以很多的車輛都是右轉要到玉城路跟陽梅體育園區又跟我們縱貫路直行然後現在又跟我們另一個閘道往埔心方向常常在那邊車流造成大的衝突所以後來我們有研議桃園市府希望
transcript.whisperx[558].start 20598.656
transcript.whisperx[558].end 20600.016
transcript.whisperx[558].text 法定人數不足
transcript.whisperx[559].start 20619.062
transcript.whisperx[559].end 20622.384
transcript.whisperx[559].text 明年會來辦理因為他必須要經過規劃跟設計他跟地方在民意來做規劃應該明年內可以把它做起來
transcript.whisperx[560].start 20638.405
transcript.whisperx[560].end 20662.118
transcript.whisperx[560].text 就是是整個做好是嗎對對對連規劃到施工完成應該是那就希望因為這個影響很久而且這部分居然提出來大家要配合地方因為他的交通改善必須配合地方交通局對對因為這個市府他已經提出了說等高工局說已經交辦北分局可是目前都還沒有答覆有有我們有在作業中
transcript.whisperx[561].start 20662.478
transcript.whisperx[561].end 20683.812
transcript.whisperx[561].text 好這部分盡快能夠解釋真的目前來講研議是可以解決我們這邊交通擁捨而且常常造成交通意外的狀況還有另外一個我們國道1號幼師交流道就是我們陽梅幼師工業區跟幼師擴大工業區那個交流道那國道1號幼師交流道
transcript.whisperx[562].start 20684.272
transcript.whisperx[562].end 20709.79
transcript.whisperx[562].text 他的南出的閘道現在因為南出右轉的閘道往新屋方向就是青年路跟我們高思路他形成一個大型的路口那現在常常也是發生交通擁捨交通意外那現在本身交通局是用號字管制可是現在還是沒有辦法改善反而使這個南出的閘道造成回堵
transcript.whisperx[563].start 20710.39
transcript.whisperx[563].end 20737.255
transcript.whisperx[563].text 那目前我們也 地方也演繹市府也演繹就是說針對高工局用地的範圍內把南向右轉的閘道盡量再靠右移讓他這個右轉的閘道跟高思路可以做成一個斜交路口避免車子出來要左轉高思路又跟青年路直行的車輛又造成衝突所以他這一部分
transcript.whisperx[564].start 20738.749
transcript.whisperx[564].end 20763.032
transcript.whisperx[564].text 我相信這個部份應該交通部高工局應該都很清楚因為這個已經困擾地方非常非常多年然後一直找不到一個方案然後目前研議出來這個方案看起來應該是可以解決我們左轉高思路跟青年路車輛衝突也能夠讓我們高速公路南下出來陽梅右思交流道這部分交通讓它順暢
transcript.whisperx[565].start 20764.661
transcript.whisperx[565].end 20786.046
transcript.whisperx[565].text 基本上跟委員報告就是說這個又是交道其實我們已經改過改過兩三次了對啊但是這次裡面最後的一個結果的話就因為要地方配合所以他需要他的一個同意才可以來再往外去擴充那這個部分的話那個桃園市政府交通局他們原則上是同意這個部分我們會會來盡快來辦設計然後做一個調整
transcript.whisperx[566].start 20788.326
transcript.whisperx[566].end 20814.569
transcript.whisperx[566].text 對 因為我剛剛為什麼講它是右市工業區跟右市擴大工業區這個上班的人潮非常非常多的車流量非常的大然後而且一直處理很久一直沒有辦法處理那現在交通局跟地方大家協調發現就是因為左轉高市路的車輛就是右車交通道出來右轉要左轉進去高市路的車輛跟青年路的車輛常常在那邊
transcript.whisperx[567].start 20815.33
transcript.whisperx[567].end 20816.051
transcript.whisperx[567].text 那這部分 這部分
transcript.whisperx[568].start 20837.268
transcript.whisperx[568].end 20855.548
transcript.whisperx[568].text 據我們了解高工局也已經交辦北分局那我們今天提出來就是希望能夠盡快來處理地方政府要同意的話地方政府要同意他同意我們就會來做好就是地方政府有提出來那但是他現在還沒給我們同意嗎我們有一個設計方案設計方案要提出來給他們他們再做確認就好了
transcript.whisperx[569].start 20858.291
transcript.whisperx[569].end 20873.803
transcript.whisperx[569].text 好請部長跟局長這部分盡快幫我們處理因為現在因為這部分市府提出來就是希望我們盡快來完成所以希望本席在這邊催促我們來盡快把它規劃好趕快給他們一個方案好謝謝好謝謝圖軒吉委員接下來邀請何新淳委員質詢
transcript.whisperx[570].start 20886.636
transcript.whisperx[570].end 20889.102
transcript.whisperx[570].text 好 謝謝昭葦 蘇瑞委員 我們請陳部長請陳部長
transcript.whisperx[571].start 20896.718
transcript.whisperx[571].end 20923.008
transcript.whisperx[571].text 部長好委員好我們台中人我們來關心台中的機場問題好不好機場在李部長的時代我還特地邀他去看了一下我們台中機場那也還在要求台中機場能夠再進一步的擴大擴建那甚至要加強他的軟液體設施還有其他的配套交通聯外道路還有聯外交通等等問題
transcript.whisperx[572].start 20924.308
transcript.whisperx[572].end 20934.114
transcript.whisperx[572].text 本來我們還積極在爭取那之前我們的這個華航的子公司虎航還曾經大外宣說來7月我們台中日航來日本韓國要熱鬧的開航那我們台中的中部人很挺我們都說來台中為台中處理這是很方便的一件事所以我們一直在積極要求
transcript.whisperx[573].start 20950.144
transcript.whisperx[573].end 20972.33
transcript.whisperx[573].text 臺中的清泉崗機場我們希望能夠努力的恢復到疫情前的國際航線那呢民航局跟航空公司跟我們講說需要時間我們也願意給時間那現在奇怪了我們呢好不容易等到今年7月暑假有臺中飛日本有臺中飛東京有臺中飛韓國釜山結果部長你知道嗎沒有任何預警
transcript.whisperx[574].start 20979.889
transcript.whisperx[574].end 20985.083
transcript.whisperx[574].text 現在虎航把所有從台中出發的航點通通卡掉
transcript.whisperx[575].start 20986.198
transcript.whisperx[575].end 21011.251
transcript.whisperx[575].text 現在是0你知道嗎在網路上多少中部的網友中部的民眾非常的失望非常的不解我不知道為什麼我們這麼努力的要求臺中的清泉江機場希望呢我們的航空公司希望呢我們的航線增加希望我們的航班增加結果反而是倒退了部長你知道嗎
transcript.whisperx[576].start 21012.623
transcript.whisperx[576].end 21039.045
transcript.whisperx[576].text 報告委員這一點我知道這幾年你一直在努力機場的建置要更好一點那機場的建置也確實變得更好不過硬體建設之外對民眾來講影響最大是航線那航線過去虎航確實也爭取到了成田民古屋那澳門甚至是釜山的這個包機我知道他當時申請的包機像釜山他是申請7到8月那8月過後就沒有了沒有部長當時候呢在
transcript.whisperx[577].start 21041.627
transcript.whisperx[577].end 21067.693
transcript.whisperx[577].text 李孟業部長時代我們就曾經要求民航局跟機場公司跟我們虎航或者是其他航空公司也好我們都希望是從包機改為定期航班民航局不給我們正確的資訊也沒給我們正面的回應你說他是包機那我還要求說除了包機之外我希望從包機改成是定點航班
transcript.whisperx[578].start 21068.683
transcript.whisperx[578].end 21085.793
transcript.whisperx[578].text 是阿 結果你全部把我取消掉這個部份我們也會去要求虎航他們針對這個航線的部份看可不可以再更積極我覺得這個部份不是叫虎航要積極我們民航局也要積極因為臺中航空站我們青天橋機場是我們民航局的我請局長何局長
transcript.whisperx[579].start 21087.817
transcript.whisperx[579].end 21107.679
transcript.whisperx[579].text 跟委員報告這4條航線確實昨天前幾天我有跟虎航講就是說這個部分如果是包機其實在飛之前應該講清楚那如果是這個定期的部分那如果說申請上你不能延續也要講清楚那這個部分呢在這個成田民古屋的部分虎航通通沒有講局長
transcript.whisperx[580].start 21108.86
transcript.whisperx[580].end 21130.959
transcript.whisperx[580].text 之前我也在這個地方也是在交通委員會我也要求過你我希望民航局可以協助積極協助我們是要增加航線我們增加航班你知道嗎你今天跟我講包機我說我希望可以從包機再改為定期航班你之前也曾經允諾我要盡全力來協助
transcript.whisperx[581].start 21132.861
transcript.whisperx[581].end 21160.939
transcript.whisperx[581].text 這個話有緣在耳還沒多久結果馬上就都取消我跟你講如果今天他是賠錢的線沒人的線你給我取消我還覺得我們還要再努力你知道我調出資料來這是你們給我的資料台中的全航線的載客率是破八成尤其虎航飛東京名古屋都高達九成二台中是黃金航線是黃金航線
transcript.whisperx[582].start 21162.34
transcript.whisperx[582].end 21180.41
transcript.whisperx[582].text 跟委員報告齁其實在台中的部分其實像新宇的部分他也要即將飛航沖繩那真航空也會飛航空你不要跟我扯新宇阿新宇是大家的奴隸之下我該給你肯定我之前也有給你鼓鼓掌阿可是你不可以跟我說來了一個新宇然後其他的通通再見阿
transcript.whisperx[583].start 21180.93
transcript.whisperx[583].end 21182.331
transcript.whisperx[583].text 怎麼又蹦出了一個飛機故障的一個說法我覺得莫名其妙欸真的莫名其妙欸
transcript.whisperx[584].start 21201.977
transcript.whisperx[584].end 21209.483
transcript.whisperx[584].text 跟委員報告他航線的調整這部分我們會再來要求你知道嗎火航現在要上市櫃他還跟我們說他第三季營收創新高他要拼上市你現在跟我說他因為一架飛機故障所以他要取消台中航空站的三個航點
transcript.whisperx[585].start 21220.35
transcript.whisperx[585].end 21242.408
transcript.whisperx[585].text 各位我再說明清楚其實飛機故障是對於他航線的安排我們會再要求不過他的運能的調整我們這個會再來要求報告委員其實我覺得虎航當時拿到這個航線也進來台中機場我們就希望他繼續在台中機場那整個過程沒有跟我們講說他是包機的狀況這一點我是覺得需要檢討那另外針對虎航他來了
transcript.whisperx[586].start 21244.81
transcript.whisperx[586].end 21257.577
transcript.whisperx[586].text 那沒有多久又走了這件事我們也會跟虎航來溝通這樣的做法其實未來我們並不歡迎部長你接下來你自己看高雄的航線一條一條開臺中的航線一條一條關現在是你捏部長你是臺中人捏你對我們中部的鄉親如何交代你知道嗎包括連澳門都關了
transcript.whisperx[587].start 21268.863
transcript.whisperx[587].end 21296.456
transcript.whisperx[587].text 交通部會來努力這個方面澳門的部分他1月份明年的1月份會來恢復明年的1月份他澳門就會來恢復跟委員報告那這個部分除了中央要努力其實我也當過地方的議員當時在林佳龍市長任內我跟林佳龍的市府也努力爭取了好幾條航線在台中飛所以地方的觀光局或者地方的市政府如果願意努力來爭取的話我認為成效也會不錯不過交通部不會卸責交通部該做委員在要求我們就努力來爭取
transcript.whisperx[588].start 21297.136
transcript.whisperx[588].end 21317.123
transcript.whisperx[588].text 中央地方要合作我之前都要求過很多次你跟我說這個虎航請民航局請交通部請華航好好的去跟我解釋清楚虎航為什麼做這樣的決定虎航的營收載客率創新高
transcript.whisperx[589].start 21318.513
transcript.whisperx[589].end 21345.119
transcript.whisperx[589].text 他還大剌剌的董事長大剌剌的上節目上專訪說他兩個豪賭說這個華航也支持虎航是正確的選擇我都要說是因為犧牲掉我們台中人的權益中部人的權益去成就華航的兩個豪賭跟正確的選擇嗎部長我們拜託這個呃華航的董事長齁因為虎航也是華航管轄啦齁是不是可以要求一下請虎航的部分
transcript.whisperx[590].start 21346.461
transcript.whisperx[590].end 21371.129
transcript.whisperx[590].text 這個跟委員報告一下那個虎航確實是有一架飛機要地停一年因為是現在缺工缺料發動機的問題不過他這個取消的部分我回去我會所以飛機飛機故障缺了飛機缺工缺料所以就從我台中先砍不是不是他現在因為調度出問題所以我們回去你說這個我不能接受啊那第一個沒有事先說明第二個你要砍就砍台中的航點航線
transcript.whisperx[591].start 21381.41
transcript.whisperx[591].end 21400.645
transcript.whisperx[591].text 我敢跟你說中部的中部的那個搭乘的這個客運量是豐沛的喔是高的喔是多的喔需求是高的喔大家很期待能夠從台中飛出去耶我以為我們盡量來爭取更多的半根航線在這個台中機場來起飛
transcript.whisperx[592].start 21409.025
transcript.whisperx[592].end 21436.408
transcript.whisperx[592].text 我再請部長拜託我希望我未來最近都能夠看得到是增加航線不要再給我減少航線不要沒有任何理由沒有任何說明就砍掉航線砍掉航班是民航局要盡責吧航權是民航局跟航空公司要共同努力去談的啊
transcript.whisperx[593].start 21438.25
transcript.whisperx[593].end 21449.824
transcript.whisperx[593].text 臺中市是有需求的機場臺中的機場是有需求的所以這個部分我們的航班跟航線如果可以增加的話未來效應會非常大我聽說很多航空公司是願意選擇臺中來落地甚至來開問題是我們民航局啊態度很重要啊
transcript.whisperx[594].start 21457.128
transcript.whisperx[594].end 21482.603
transcript.whisperx[594].text 報告委員這個部分我們絕對支持而且絕對會協助絕對支持那你要用具體的行動跟結果論來說支持給我看我們以後就是盡量增加航班跟航線盡量不要再有減少的狀況出現沒有任何說明臺中中部的鄉親一面倒的罵所以拜託交通部好不好拜託民航局好不好好沒問題謝謝委員
transcript.whisperx[595].start 21485.779
transcript.whisperx[595].end 21489.924
transcript.whisperx[595].text 好謝謝何欣淳委員接下來邀請葉元之委員不好意思請部長謝謝請部長
transcript.whisperx[596].start 21508.41
transcript.whisperx[596].end 21524.215
transcript.whisperx[596].text 部長好委員好就是我們現在看一個道安的問題我們發現從106年到112年就是在交通上面因為車禍30內死亡的人數逐漸的攀高那我不知道部長知不知道這個狀況那大概原因是什麼
transcript.whisperx[597].start 21526.398
transcript.whisperx[597].end 21552.866
transcript.whisperx[597].text 逐漸的攀高我們其實部內當時有講有討論過一些原因是高齡的使用者增加這是一方面再來就是說交通的運輸的過程當中的使用量也整體都在增加車輛變多嗎都都有在變多所以主要是因為高齡使用者增加造成的台灣進入高齡社會高齡使用者那我真想要針對其中一樣來跟部長討論就是所謂的區間測速
transcript.whisperx[598].start 21555.507
transcript.whisperx[598].end 21578.142
transcript.whisperx[598].text 就是現在交通部還是堅持要有區間測速那也不是說一定不可以但是我們是希望說能夠每一個度段可以去檢討他到底對於交通安全有沒有幫助我舉幾個沒有幫助的例子比如說像2022年那時候新北市就曾經在重新橋急車道有試辦過區間測速結果發現試辦的結果區間測速設下去反而車禍增加了所以後來這個區間測速就把它取消
transcript.whisperx[599].start 21585.543
transcript.whisperx[599].end 21600.711
transcript.whisperx[599].text 那臺北市也有類似的狀況本來軍人測速在志強隧道跟辛亥隧道裝設的時候啊認為說很棒他是一個交安神器但是他設在辛亥隧道就發現車禍的事故發生的件數就向上增加
transcript.whisperx[600].start 21601.391
transcript.whisperx[600].end 21618.516
transcript.whisperx[600].text 可見區間測數他不是萬靈丹那我們也常常看到網路上有很多人其實是反對區間測數就認為說區間測數不見得可以達到降低交通事故的效果但是我們看到交通部的回應這個是道安司針對區間測數的回應
transcript.whisperx[601].start 21620.556
transcript.whisperx[601].end 21637.189
transcript.whisperx[601].text 回答很自私他說根據國外的研究速度越快造成死亡情形越嚴重車速每小時30這個我當然知道但是車速跟區間車速是兩回事你設定單點的速限跟你整個路段的區間車速是兩回事
transcript.whisperx[602].start 21638.27
transcript.whisperx[602].end 21654.141
transcript.whisperx[602].text 委員我跟您報告您的上一頁其實也有提到是新北市政府在重新喬的機車道啟用區間測速新北市政府下一段臺北市的交工處與自強隧道與心態隧道裝設區間測速
transcript.whisperx[603].start 21655.982
transcript.whisperx[603].end 21656.543
transcript.whisperx[603].text 中文字幕提供
transcript.whisperx[604].start 21674.594
transcript.whisperx[604].end 21689.482
transcript.whisperx[604].text 因為交通部畢竟是最高的交通主管機關我們現在在是全國的立法院所以我們當然也只能要求交通部去跟地方政府或者是警察局去做了解所以我要跟部長講就是說這個區間測速這個東西我認為你們單純回復說因為速度要下降所以要有區間測速這個是兩回事因為區間測速有時候會遇到一個狀況
transcript.whisperx[605].start 21700.908
transcript.whisperx[605].end 21716.995
transcript.whisperx[605].text 大家不是故意超速可是可能那個路段開著開著就超速了因為他可能速度比較高並沒有什麼危險性所以他就開可是問題是因為局限車路他是算平均速度啊所以到比較遠的地方的時候他就開始降速他的降速有可能是低於速限啊
transcript.whisperx[606].start 21717.375
transcript.whisperx[606].end 21717.815
transcript.whisperx[606].text 也同意報告委員
transcript.whisperx[607].start 21733.942
transcript.whisperx[607].end 21749.593
transcript.whisperx[607].text 但是區間測數裝或不裝這是地方政府來決定的不是交通部的決定不是對一個地方我覺得還是因為你們是道安的實際上不是交通部在決定的不然你們不要有道安司了你們有這個單位就是因為你們是最高主管機關
transcript.whisperx[608].start 21750.854
transcript.whisperx[608].end 21778.66
transcript.whisperx[608].text 所以是不是可以針對區間測數這件事情然後去跟你剛講的地方政府去做一個通盤的了解就是說因為我覺得是看路段有的路段就確實是不適合區間測數的全國性的通盤檢討這個可能要由內政部的警政署他們去做會比較恰當不一定是由交通部但是委員如果希望交通部能夠去關心因為道安也是你們的業務範圍但是執法面不是我們對對對可是規劃面是嘛
transcript.whisperx[609].start 21782.465
transcript.whisperx[609].end 21807.567
transcript.whisperx[609].text 我覺得大家不要這樣推來推去啦這樣推來推去沒有意思啦如果你希望我們去跟他們溝通我們一定會去溝通部長你們是交通部嘛也有道安司嘛那道安的最高上位就是交通要安全嘛對那作為一個主管機關如果說這跟我無關那個地方政府或者是說那個是警察局警政署跟我無關我覺得這樣就有點沒意思了啦
transcript.whisperx[610].start 21808.796
transcript.whisperx[610].end 21809.137
transcript.whisperx[610].text 接下來邀請廖偉強委員質詢
transcript.whisperx[611].start 21844.332
transcript.whisperx[611].end 21845.253
transcript.whisperx[611].text 謝謝主席有請我們的陳部長
transcript.whisperx[612].start 21855.029
transcript.whisperx[612].end 21877.349
transcript.whisperx[612].text 部長好委員好部長週一的時候次長跟台鐵董事長有來但有些問題我覺得他們回答我覺得不太足夠還是想要請部長就這個部會首長的高度來回答首先同樣身為我們交通部國營事業那台鐵新進的人員起薪僅有三萬四那比不上中華郵政的四萬一那也落後我們港務公司的四萬七
transcript.whisperx[613].start 21878.45
transcript.whisperx[613].end 21907.526
transcript.whisperx[613].text 但我們可以看到臺鐵的從業人員要面對的是一個很辛苦的工作環境以及裝備甚至都很缺乏的情況之下我想要請教一下部長這個你認為臺鐵的基層人員還有沒有待遇調整的空間我這裡想要問的是公司化後招募的人員的薪資畢竟這是未來公司的這個基層的主力報告委員我的立場其實在上一次在委員會備選的時候我也說過對於國營事業的從業人員大家都很辛苦
transcript.whisperx[614].start 21908.286
transcript.whisperx[614].end 21935.601
transcript.whisperx[614].text 那在這個過程當中如果說要加薪的話我會希望是基層優先所以這個部分其實委員你也很關心所以臺鐵的從業人員的這個薪資的調整的部分我們其實已經有方案那目前我也正積極在跟人事總處這邊在溝通針對從業人員他的薪資的部分的調整我們希望能夠趕快給他拉高那我希望能夠很短的時間內能夠有成果再向您報告
transcript.whisperx[615].start 21936.501
transcript.whisperx[615].end 21950.727
transcript.whisperx[615].text 謝謝部長因為的確上次我也說基層都沒加薪的情況之下董事長居然自己先調薪了這個40%對於這個基層是會有影響我想在領導上面是這樣的說法是會有影響但實際上杜董他的薪資的調整是
transcript.whisperx[616].start 21951.627
transcript.whisperx[616].end 21976.25
transcript.whisperx[616].text 我知道你們會說依照規定辦法,這個沒有問題,但是我只是要告訴你說,是,是,沒有錯,感受上基層,一定感受不好的。所以部長剛剛也說應該是以基層為優先吧,對不對?沒錯沒錯,基層優先。好,因為我希望說,那部長你剛剛有說也在擬電腦新的方案,看是不是你們擬好的時候也可以給本席。我們已經擬好了,只是說我們現在在跟人事總署在溝通,那如果他們那邊OK的話,大概就可以完成,那這個版本是不是再提供給委員好不好?
transcript.whisperx[617].start 21976.67
transcript.whisperx[617].end 21999.774
transcript.whisperx[617].text 因為這樣的工作環境跟待遇其實就是新人招不到舊人留不住那留不住人才的話就是台鐵這未滿10年的年資的員工長年大概就是5成上下在徘徊所以招不到這些問題的話我想要另外問一下那現在台鐵基層負責維修跟安全檢查的員工現在缺額有多少?這個缺額我是不是請董事長好不好好董事長
transcript.whisperx[618].start 22002.073
transcript.whisperx[618].end 22026.006
transcript.whisperx[618].text 這跟委員報告剛剛委員講到這一列我們的缺額主要是發生在我們的供電系統還有就是我們東部地區的對 所以你們缺額有多少那遭不到這些原因的原因是什麼遭不到的原因就是因為東部現在比較沒有那個任職意願的人
transcript.whisperx[619].start 22026.966
transcript.whisperx[619].end 22051.757
transcript.whisperx[619].text 那再加上我們上一次我們招考從業人員我們的過程比較短一點所以我們 沒關係董事長我只是想要跟你講這件事情就是今天勞動部調查因為我時間有限了不好意思把你打斷了有6點勞動部的調查裡面有6.6萬的職缺超過半年找不到人這是所有的產業沒錯但是對於治安全至關重要的維修跟這個安全安檢人員平均開缺要等多久才能補齊
transcript.whisperx[620].start 22055.349
transcript.whisperx[620].end 22073.343
transcript.whisperx[620].text 這個現在我們公司已經沒有所謂開靴的這個情形了我們現在就是我們第二次招考剛剛報告的我們從業人員第二次招考今年底以前我們會好董事長我就是最後要跟你講一個結論反正綜合上述我們希望你們可以更重視基層員工
transcript.whisperx[621].start 22074.104
transcript.whisperx[621].end 22074.284
transcript.whisperx[621].text 加蓋摩托車
transcript.whisperx[622].start 22098.399
transcript.whisperx[622].end 22126.742
transcript.whisperx[622].text 另外想要請問一下說關於新型態的機車包括這個全覆蓋式的機車以及手把龍頭是傳統的手握式或是駕駛盤式雖然民間一直有希望開放的聲音但是因為它涉及到安全道路管理路權監理等多項問題所以我想要請問一下交通部針對此類的新型態的機車合法上路目前有沒有規劃那目前研議的情形如何年底之前有沒有可能讓新的管理政策上路
transcript.whisperx[623].start 22127.382
transcript.whisperx[623].end 22156.457
transcript.whisperx[623].text 這個新型態的車子我們確實是之前台灣比較沒有引進那現在可能會有引進的可能性的時候我們交通部確實已經有在研議那進度的部分我是不是請司長來跟委員報告這個部分跟委員報告一下部裡面目前有在做研議那但是這一個在歐盟那邊是屬於L5的這一個算是三輪機車的部分那但是最後這些行駛的路線還是要到這個地方的道路所以我們後續還要跟地方政府做討論
transcript.whisperx[624].start 22157.197
transcript.whisperx[624].end 22176.448
transcript.whisperx[624].text 對,所以我想要跟你說的就是針對這類加蓋機車有沒有要設立新的分類目前看到你就說可能會納在L5嘛對不對那也就是指這個排氣量域50cc或是電動超過5馬力之三輪機車當然這樣會有兩個問題首先如果是這個二輪式的加蓋機車是不是就無法納入規範進而上路
transcript.whisperx[625].start 22178.867
transcript.whisperx[625].end 22206.998
transcript.whisperx[625].text 跟委員報告一下如果因為這裡面有三輪的還有這一個二輪的那如果說下方這個二輪的部分的話其實國內啦國內像這個BMW他有原廠生產就是說有架蓋的這個部分那基本上那個是比較單純是屬於一般的這個二輪的一個機車那剛剛委員提到的那個三輪的部分的話那個路線就比較這個複雜一點因為他沒辦法兩段式左轉可能有些路線可能要比較
transcript.whisperx[626].start 22207.398
transcript.whisperx[626].end 22208.279
transcript.whisperx[626].text 法定人數不足
transcript.whisperx[627].start 22224.193
transcript.whisperx[627].end 22227.476
transcript.whisperx[627].text 委員您這樣的建議我們就列入討論因為目前也在討論的過程當中您的寶貴意見剛好可以作為我們參考進來之後我們就把它納入來討論
transcript.whisperx[628].start 22243.448
transcript.whisperx[628].end 22271.896
transcript.whisperx[628].text 對,因為我覺得對於新興還有創意的這些產品我都主張行政機關應該要鼓勵多元發展但是再怎麼樣也不要成為它的主力將這些產品扼殺在搖籃裡但同時我也主張應該合理管理並考量到現有的制度的影響並做出合理的修法調適那這個部分是不是也可以請你們在這個合規你們現在討論的進度然後以及未來可能的方向和你們現在跟地方政府討論的一些要點你是不是也可以會後給本席一份
transcript.whisperx[629].start 22272.256
transcript.whisperx[629].end 22272.476
transcript.whisperx[629].text 謝謝主席有請部長陳部長
transcript.whisperx[630].start 22298.117
transcript.whisperx[630].end 22315.453
transcript.whisperx[630].text 部長好 學長好 議會的學長 台中人加油 但是我是外委員會直接切入主題其實要跟部長特別分享 在9月27號的時候我也陸續關心台虎 我們的台中虎航陸續規劃台中的一個航線
transcript.whisperx[631].start 22317.255
transcript.whisperx[631].end 22345.033
transcript.whisperx[631].text 當時相關的單位給我的回函相關規劃以及申請已經在實際面早已經遞交9月27號回函給我們但是因為目前還在程序中尚未核可本公司將持續追蹤進度待相關程序核可以後確認以後再另行議定銷售期程及復航日期可以看得出來這個回函是這個回函是公司給我的一個進度那我真的不懂
transcript.whisperx[632].start 22345.413
transcript.whisperx[632].end 22364.983
transcript.whisperx[632].text 在9月27號給我們他已經遞交了相關的申請程序那為什麼最後會沒有到底是卡在交通部還是我們有外交的壓力大陸的杯葛報告委員這個應該因為他們在申請的是成田跟名古屋的這個航線那目前我們在等待日方那邊的同意
transcript.whisperx[633].start 22366.061
transcript.whisperx[633].end 22394.242
transcript.whisperx[633].text 所以我也很納悶喔日本首相石破茂相對對台灣是非常的友善怎麼可能會卡這麼久原因到底是什麼你們目前有沒有找外交部來做一個溝通跟委員報告齁有關這個案子其實我們跟外交部都有陸續在接洽中然後一開始得到這個訊息就是說一直還沒有同意的時候其實就透過外交管道去做相關了解那我們民航局這邊也跟日本的這個JCAB的部分也有在聯繫
transcript.whisperx[634].start 22395.003
transcript.whisperx[634].end 22418.514
transcript.whisperx[634].text 我想最後的結論大家看到就是沒有航線那台中的航線越來越少身為台中人的交通部部長我覺得責無旁貸那我想華航的董事長也在現場作為最大股東虎航最後歸零了沒有這個航線了我想在這個過程當中華航的角度是怎麼樣是支持嗎還是有權力的慰留這部分華航說清楚好不好
transcript.whisperx[635].start 22419.912
transcript.whisperx[635].end 22441.599
transcript.whisperx[635].text 那個虎航虎航現在是上市公司那基本上他們本於公司治理他們的營運的狀況我們是不能干預但是這個事情我跟委員報告是這樣子我們回去會找他來商量就是說台中的部分是不是這個部分是不是可以儘早能夠恢復這是我能做的
transcript.whisperx[636].start 22442.059
transcript.whisperx[636].end 22469.325
transcript.whisperx[636].text 我想現在都撲空我們都非常非常的難過那部長能不能給我們一個期程能不能承諾臺中的航線只會越來越多不會再有減少那個虎航在澳門的航線的部分雖然在10月26號我知道你說1月的時候1月會再恢復對對對但我們不只是澳門我們希望的是日本另外我們還有其他的新宇航空它的這個沖繩的航線這個我都知道但現在我們希望是越來越多不能拿新宇來講虎航
transcript.whisperx[637].start 22469.645
transcript.whisperx[637].end 22492.421
transcript.whisperx[637].text 我絕對跟您的角度是一樣的我們給您的標準會比較高我希望臺中的機場未來的運量要不斷的提升未來能夠服務的航線能夠不斷的增加所以您願意承諾朝這個方向來努力只會增加不會減少並且虎航全力想辦法協助我們一定朝這個方向來努力我想國民都在期待那我也要特別拜託
transcript.whisperx[638].start 22493.001
transcript.whisperx[638].end 22514.763
transcript.whisperx[638].text 臺中有幾個重要的我們關注的議題不管是我們現在的鐵路高價化包括烏日大慶這一段這在我的選區也在你過往服務的選區那以及還有一個很重要的是噪音改裝的一個問題從114年1月1號開始我們雖然有法令已經在開始要做一個合格鐵牌的一個認證但是我們對於噪音
transcript.whisperx[639].start 22515.484
transcript.whisperx[639].end 22515.905
transcript.whisperx[639].text 道教條例增列
transcript.whisperx[640].start 22530.583
transcript.whisperx[640].end 22531.143
transcript.whisperx[640].text 是不是我請市長好不好
transcript.whisperx[641].start 22549.383
transcript.whisperx[641].end 22574.827
transcript.whisperx[641].text 跟委員報告有關於這個我想這個排氣管改裝製造噪音的部分大概是環境部跟這個交通部還有這個這個我都知道我還是要講啦有因才有果啦趕快處理源頭啦不要只是一直噪音噪音那源頭把它處理好改裝的問題我們是抓改抓草不抓改再重申一次抓草不抓改那但是源頭如何擺
transcript.whisperx[642].start 22575.687
transcript.whisperx[642].end 22586.234
transcript.whisperx[642].text 跟委員報告就是說抓草不抓改所以這個排氣管單品的部分這個環境部已經在實施單品的這個認證那我們經理機關就是負責幫忙這個安裝的這個符合環境部的認證的這個排氣管之後我們就會辦理這個登記
transcript.whisperx[643].start 22595.1
transcript.whisperx[643].end 22610.387
transcript.whisperx[643].text 你相關會後文字資料再給我啦那部長還有一個問題啦偽造車牌非常猖狂你自己應該也知道吧現在我們的法規比以前還要嚴格喔但是現在反而你高你真度的喔這個假車牌生意越做越大
transcript.whisperx[644].start 22611.26
transcript.whisperx[644].end 22639.033
transcript.whisperx[644].text 未來交通部有沒有什麼因應對策幾個方面一個方面是我們跨機關的取締的部分當然要再加強因為取締面不是在交通部這邊所以跨機關的部分我們有在努力那第二就是說針對他下架因為大部分買假車牌就是網路上網路的下架的部分我們也請數位部在協助當中所以下架的部分我們在努力那第三就是我們自己的這個加嚴的標準就是未來的罰則要再提高的部分目前交通部正在處理就在嚴禮當中嗎
transcript.whisperx[645].start 22640.294
transcript.whisperx[645].end 22655.187
transcript.whisperx[645].text 所以對於現在道路交通管理處罰條例第12條第一項第三款我們可以看到使用偽照變照還有相關的牌照處罰為3600到10800元的8萬我們希望再提高再提高而且並可處一年以下有期徒刑可不可以再提高
transcript.whisperx[646].start 22656.352
transcript.whisperx[646].end 22656.532
transcript.whisperx[646].text 謝謝羅廷維委員
transcript.whisperx[647].start 22687.236
transcript.whisperx[647].end 22688.418
transcript.whisperx[647].text 陳佩玉委員陳佩玉委員
transcript.whisperx[648].start 22710.36
transcript.whisperx[648].end 22710.62
transcript.whisperx[648].text 網絡票選人行地域
transcript.whisperx[649].start 22725.345
transcript.whisperx[649].end 22739.192
transcript.whisperx[649].text 那於是呢這個內政部就決定要全額補助來改善這個交通路段那當然會會同交通部還有一些事情需要討論但是我們看到在這個票選出來之後呢桃園市政府他們已經說他們預計明年5月即將要開始動工那部長現在已經將近10月底嘛齁你覺得這個路段如果要動工的話應該要聽取哪些人的意見
transcript.whisperx[650].start 22748.837
transcript.whisperx[650].end 22774.1
transcript.whisperx[650].text 當然我們絕對尊重而且也支持人本交通可是部長您覺得在改善這個交通路段的工作應該要聽取哪些人的意見我想在周圍的商家跟住家然後還有就是說當然地方政府也是很重要的意見必須要加入那再來就是我們對於交通上面的專業我希望如果交通部可以參與那也是一個方向
transcript.whisperx[651].start 22775.101
transcript.whisperx[651].end 22790.901
transcript.whisperx[651].text 那當然內政部這個案子可能是內政部他們所以他們也必須加入還有就是一個警政單位也必須要加入太好了部長果然非常專業我剛剛就是說因為他是內政部要全額補助然後交由市政府去執行可是我們看到市政府現在用非常直接蠻橫的態度就說5月即將動工
transcript.whisperx[652].start 22793.624
transcript.whisperx[652].end 22814.746
transcript.whisperx[652].text 可是呢相關的居民卻沒有收到很多的討論跟說明的邀請甚至沒有相關的公聽會剛部長你都說了我們除了專業專家的意見其實當地商家還有每天會出入這一條路的人那以我自己為例我知道這條路上其實就有一所高中一所國中孩子們每天要上下學我給部長看一下可怕的片段謝謝
transcript.whisperx[653].start 22819.946
transcript.whisperx[653].end 22820.206
transcript.whisperx[653].text 法定人數不足
transcript.whisperx[654].start 22837.03
transcript.whisperx[654].end 22861.058
transcript.whisperx[654].text 議員就收到了200多人的陳情來告訴議員說這個蠻橫的處理手法這樣不通啦吼所以我們辦公室收到陳情吼因為我現在的選民服務落在這個地方我們跟議員討論我們也聽了一些聲音有看了一些意見那我們已經發文給交通部跟內政部希望可以積極的請聽當地公民的聲音因為像這樣的交通建設他務必要有公民參與的角度剛剛部長您也說了
transcript.whisperx[655].start 22863.138
transcript.whisperx[655].end 22882.183
transcript.whisperx[655].text 實際上的用路人就是住在周圍的住戶跟商家比較多還有包括您所提到的學校的學生是用路人真正使用的人所以我們希望最後的工程改善可以讓用路人可以參與一些建議因為實際用路的是他們不是只有設計單位還有坐落在旁邊的商家
transcript.whisperx[656].start 22882.523
transcript.whisperx[656].end 22910.408
transcript.whisperx[656].text 因為這個動工的期間我們可以想像那個交通的黑暗期一定非常可怕那商家的生意不要被影響行人的權益也不要被影響但是我們又可以預期可以看到整個內政部全額支持的交通改善可以得到美好的成果所以剛剛也聽到部長的承諾我們辦公室之後會協助地方議員召開公聽會跟座談會也要拜託交通部當然我們也會再去找內政部把相關的人員帶到地方來請聽大家的聲音這個部分是不是可以請部長給我們公開
transcript.whisperx[657].start 22911.288
transcript.whisperx[657].end 22911.528
transcript.whisperx[657].text 接下來邀請張祺凱委員
transcript.whisperx[658].start 22944.626
transcript.whisperx[658].end 22972.956
transcript.whisperx[658].text 請陳副部長副部長你好委員好今天你被問了一整天那個台鐵漲價的事嘛我們做個總結第一個春節過年前不會漲對不對對這是第一個嘛那我也肯定你你說你不會把這次10月份今天開始漲電價的
transcript.whisperx[659].start 22975.276
transcript.whisperx[659].end 22982.592
transcript.whisperx[659].text 加到臺鐵這個票在裡面去嗎?這個應該落實好不好?可是我現在為什麼聽到臺鐵那個說什麼十個日子要再送去董事會是什麼?
transcript.whisperx[660].start 22986.87
transcript.whisperx[660].end 23002.255
transcript.whisperx[660].text 請杜董杜董你不用回答啦你現在送去你現在只要貫徹部長講的兩個過年前春節前不能去好不好跟委員報我們還在研議中研議齁所以你之前上去討論你一定要貫徹這個地理你今年上的那個價格不是2.28億喔4.56億對不對絕對不要加上去喔
transcript.whisperx[661].start 23009.918
transcript.whisperx[661].end 23038.986
transcript.whisperx[661].text 我肯定部長這樣做 不然從省電那邊嘛 減少人民的負擔 這個我高度肯定好不好OK 那你那個部長請回我們來談一下我延續剛剛培宇的那個行人定義博定你今年的1月份到6月份我們的行人不幸死掉了 過世了多少年照你上面的數字183很恐怖喔
transcript.whisperx[662].start 23041.404
transcript.whisperx[662].end 23060.709
transcript.whisperx[662].text 這個數據太恐怖了吧6個月我們的行人發生事故不限過往的183人那一天大概就是平均一個所以怪不得CNN說我們是行人地域啊那交通部我看資料你們本來訂了今年要比去年是要降7%
transcript.whisperx[663].start 23063.021
transcript.whisperx[663].end 23087.387
transcript.whisperx[663].text 結果現在不只沒有降反升對不對上升了將近6%5.78%這個要拜託一下部長這要當作為重中之重來處理好不好是我們來看一個個案目前7月跟8月是已經都下降了這些數字對對對1到7月已經降了那8月也都降一些繼續努力好不好希望把今年這個目標是真的達到是往下降不要漲整體來說到目前為止比去年的同期還降
transcript.whisperx[664].start 23088.067
transcript.whisperx[664].end 23105.039
transcript.whisperx[664].text 太好了 我們來看一個個案 你在台中來的嘛我來看 也是東海的喔看一下你學妹這個個案9月24號東海大學這個女學生這個事情後來你了解 她主要發生意外的原因 其實就是那個公車要轉彎的時候沒有停下來 沒有看嘛
transcript.whisperx[665].start 23105.359
transcript.whisperx[665].end 23129.782
transcript.whisperx[665].text 我們有強制停等但在這一台公車他沒有停等而且我們不只強制停等還強制要指差確認但是他顯然是沒有做這個動作所以我們現在一個是強制要去執行第二個應該是修法跟修相關的規則我們看一下目前的規定是道路交通安全規則的第103條的第二款我進去看各自這個規定有沒有有漏洞
transcript.whisperx[666].start 23132.959
transcript.whisperx[666].end 23136.043
transcript.whisperx[666].text 汽車行進行人道穿越的時候,遇有行人穿越
transcript.whisperx[667].start 23137.601
transcript.whisperx[667].end 23139.442
transcript.whisperx[667].text 現在是只要有行人都得停等這是必然要停等的
transcript.whisperx[668].start 23165.483
transcript.whisperx[668].end 23194.149
transcript.whisperx[668].text 這個法就要看起來條文就是你看到有人遇到嘛遇有人穿越你才停下來嘛那事實上你應該就是我知道你們現在已經這樣做啦我是說你應該把這個規則就這樣定你寫的紅字這邊是只要遇到有行人穿越就要啦後面當然有些條件更要啦前面只要是行人穿越就要就要停現在問題就出在你看不到行人有穿越或者有死角嘛所以應該不是說有行人的時候你才停下來
transcript.whisperx[669].start 23195.563
transcript.whisperx[669].end 23223.469
transcript.whisperx[669].text 是不是?應該像日本嘛,你到了一個路棚,你要轉彎的時候你就要停下來,而且要做手勢嘛,是不是?部長,我想跟你講一下,來來,剛剛這個條文是你們要負責管的。報告委員,這個是一般的汽車啦,但是只要是客運的那種大型車輛是,不管有沒有人,他都必須要停等,而且要只差確認,尤其是客運公車,不管有沒有人都得停。對嘛,這是你現在的規定嘛,對不對?是阿是阿。喔,所以你的規則裡面你就把它訂好阿。
transcript.whisperx[670].start 23224.589
transcript.whisperx[670].end 23234.226
transcript.whisperx[670].text 不是只有要求交通部做我做立法委我也來修啊道路交通管理條例的法則第44條第2項也沒有明定喔我們分工好不好
transcript.whisperx[671].start 23235.023
transcript.whisperx[671].end 23261.694
transcript.whisperx[671].text 修法這部分報告這個部分這個部分齁沒問題你要提案這是對對對我就明定我不是什麼什麼你看到再停下來現在應該像是但是這會影響到一般的汽車駕駛人未來只要通過路口不管是紅燈綠燈有沒有人他都得停齁這個可能一般的道路上面的交通可能會國家都是要停啦對不對你這個人本的社會你就是先保障行人嘛一般是大型車跟客運是這樣子我們來做這個討論好了你在
transcript.whisperx[672].start 23264.855
transcript.whisperx[672].end 23291.481
transcript.whisperx[672].text 道路交通安全規則的103條第二款你們去處理好不好那我負責來修法修道路交通管理處罰條例的第44條第二項這要做到什麼程度我知道你們現在目前是希望九大運輸業你們都規定嘛對不對而且是說有看到人我現在是說你沒有看到人你也應該這樣做我們分工分工來做這件事情好不好那另外有點時間那個我在前兩個月邀請邀請這個
transcript.whisperx[673].start 23293.803
transcript.whisperx[673].end 23318.382
transcript.whisperx[673].text 交通部長、前交通部長李孟彥到我們嘉義市來那時候包括王美惠、王維銘事實上建設地方建設都是不分藍綠的那他來了之後嘉義市的市長黃敏惠有提了10項的交通上的這個建設很多那個署長跟處長應該有跟著去那時候10項李部長有引諾6項我知道大部分都在執行當中我今天拜託你兩件事情第一個
transcript.whisperx[674].start 23319.662
transcript.whisperx[674].end 23342.293
transcript.whisperx[674].text 這個建設是延續的而且對地方對全國都是好的所以你要跟你的集數所長講要請他貫徹好不好過去承諾的我們會繼續做這是第一個第二個我最近來邀請你你有空跟我去讓我們我跟王惠美王委員還有交通委員會的我們請拜託來看看我們這個嘉義市有沒有哪些重要交通建設要做好不好請你多支持我們再安排謝謝謝謝博定好謝謝一起努力感謝謝謝委員謝謝張其凱委員
transcript.whisperx[675].start 23353.831
transcript.whisperx[675].end 23354.211
transcript.whisperx[675].text 吳宗憲委員請陳部長
transcript.whisperx[676].start 23380.477
transcript.whisperx[676].end 23395.226
transcript.whisperx[676].text 委員好部長主要是要討論宜蘭部分的問題宜蘭是一個很偉大的地方像蔣渭水像以前法務部前部長陳定南都是那邊孕育出來的所以那是一個很特別的地方
transcript.whisperx[677].start 23397.322
transcript.whisperx[677].end 23417.677
transcript.whisperx[677].text 我想跟部長就講幾個問題就是宜蘭他現在交通還是宜蘭一個很頭痛的問題我假日常常帶家人去宜蘭玩但是要嘛去塞車要嘛回來塞車不然就是有時候遇到高乘載我自己去就很也會很麻煩所以
transcript.whisperx[678].start 23419.093
transcript.whisperx[678].end 23438.455
transcript.whisperx[678].text 宜蘭有兩條任督二脈要打通我想部長一定非常清楚一個是高鐵另外一個是快速道路那這段時間其實我一直替宜蘭去爭取一些甚至我也到過宜蘭那邊參加他們的一些會議我們希望多做一點能夠讓宜蘭這個地方能夠更好
transcript.whisperx[679].start 23439.297
transcript.whisperx[679].end 23453.498
transcript.whisperx[679].text 那我現在主要是第一個我想先就叫我剛剛所提到的第一個任督二脈的第一個就是高鐵的部分那請問一下部長這個高鐵延伸到宜蘭這第二階段環評再評估進行中馬那預計他什麼時候會通過
transcript.whisperx[680].start 23455.38
transcript.whisperx[680].end 23480.452
transcript.whisperx[680].text 這個環評我們希望在明年的第三季可以完成現在在進入第二階了那明年的第三季我們有機會可以完成部長如果有機會你可以去看一下收假的時間其實宜蘭塞車塞得非常非常嚴重這個我知道那這個一定會影響到那個地方的發展所以交通要趕快處理甚至宜蘭他也是花蓮台東的人他要到臺北或是要就是到北部的時候他常常會
transcript.whisperx[681].start 23481.833
transcript.whisperx[681].end 23500.331
transcript.whisperx[681].text 經過宜蘭所以那個地方不是只有宜蘭他要到西部有便利而已甚至花東都會有關係所以這塊要麻煩部長能夠盡量能夠推動他快一點那我想請問一下就是因為我看到近年很多高鐵站他附近的一些那個
transcript.whisperx[682].start 23502.553
transcript.whisperx[682].end 23528.072
transcript.whisperx[682].text 電家還有一些住宅區都發展得非常好像是中南部的高鐵站的特區大概都有400公頃以上但是宜蘭只有190多公頃那裡面雖然有住商區但是他欠缺的是產業區那這個部分是不是應該要通盤的檢討而不是到時候快到時間了或者是發展到一段時間之後發現不夠了那這時候才要去改變
transcript.whisperx[683].start 23528.812
transcript.whisperx[683].end 23546.45
transcript.whisperx[683].text 不知道你們有沒有去討論到這個部分目前這個部分擴大的部分有跟地方政府在做討論有在做討論那這個部分其實大家共識應該也不少不少不少共識但後續我們還要看都市計畫還有整個國土規劃的這個這個規定之後再來做定案
transcript.whisperx[684].start 23546.51
transcript.whisperx[684].end 23576.31
transcript.whisperx[684].text 那除了中央之外麻煩你們一定要聽宜蘭當地宜蘭縣政府以及當地的各個團體或者是一般人民他們的意見因為這個跟他們最有關係不要說因為我在看了好幾個高鐵站他周邊都發展的好繁榮那我希望宜蘭他也能夠有這樣的效果出來那這時候就不能夠因為他的特區的面積太小而讓發展受限制我覺得這個都不好甚至其實這幾年宜蘭的人口一直在增加
transcript.whisperx[685].start 23576.91
transcript.whisperx[685].end 23591.78
transcript.whisperx[685].text 所以我覺得他可預期將來一定是一個不錯發展的地方再麻煩一定要趕快把這個處理好另外就是將來這個預定區內的住宅還有一些廟宇可能有搬遷的問題那是不是說要麻煩你們
transcript.whisperx[686].start 23594.001
transcript.whisperx[686].end 23620.836
transcript.whisperx[686].text 我希望說將來我會開一個座談會那我希望你們能夠派人一起參加我們來聽聽看地方的聲音我們招開的時候你們派來的人不要說派一個很低層級無法決定事情就是應付了事好不好這個麻煩到時候一定要麻煩你多幫忙我們希望讓宜蘭那邊的反彈能夠更小讓他們能夠將來享受到最多的利益還有就是那個替代道路的問題那個替代道路
transcript.whisperx[687].start 23621.616
transcript.whisperx[687].end 23634.862
transcript.whisperx[687].text 是從瑞芳交流道到那個交西的三明路那邊那這個也要請你們趕快去做這個評估啦那這個可行性評估大概什麼時候可以完成地帶道路
transcript.whisperx[688].start 23636.554
transcript.whisperx[688].end 23648.921
transcript.whisperx[688].text 這個部分在8月份我們已經報給院 可行性研究已經做好了 那我們已經報給行政院 目前行政院正在審核當中好 高鐵如果沒有那麼快 但是這個替代道路要麻煩速度能夠快一點 因為這個應該會比較
transcript.whisperx[689].start 23651.923
transcript.whisperx[689].end 23652.203
transcript.whisperx[689].text 在總諮詢的時候我有請教部長
transcript.whisperx[690].start 23676.271
transcript.whisperx[690].end 23693.469
transcript.whisperx[690].text 臺鐵設置月臺那個柵欄門的事情那因為昨天在英哥有發生一件不幸的事情那是不是你們可以趕快考慮這個部分有這個部分我們有在努力做那明年就會看到一個實驗的這個月臺門在高雄就會看到
transcript.whisperx[691].start 23694.15
transcript.whisperx[691].end 23694.33
transcript.whisperx[691].text 謝謝吳宗憲委員
transcript.whisperx[692].start 23724.225
transcript.whisperx[692].end 23724.946
transcript.whisperx[692].text 主席有請部長請陳部長
transcript.whisperx[693].start 23743.735
transcript.whisperx[693].end 23759.536
transcript.whisperx[693].text 部長好 委員好根據荷蘭自動導航系統商TOMTOM公司最新公布的亞洲交通最糟城市的排行那前10名當中 台灣就有3個城市入榜 你知道嗎
transcript.whisperx[694].start 23760.357
transcript.whisperx[694].end 23781.355
transcript.whisperx[694].text 我知道我有看到這則新聞事實上跟2022年相比臺灣主要城市的交通狀況不但沒有改善而且持續惡化所以這個交通問題也是大家非常關注不過城市的塞車問題是交通亂象其中一個但今天我要問你另外一個問題是國道系統的擁捨其實也非常的嚴重
transcript.whisperx[695].start 23782.386
transcript.whisperx[695].end 23800.155
transcript.whisperx[695].text 那國道不但是民眾跨縣市通勤的重要命脈企業物流觀光產業的運作其實都跟國道有很大的關係那最近也確實遇到很多民眾反映說這幾年國道越來越塞了我想請問部長你上次在國道開車是什麼時候
transcript.whisperx[696].start 23802.2
transcript.whisperx[696].end 23825.385
transcript.whisperx[696].text 我蠻常開,上一次應該是禮拜天所以你算是經常開車那你請問你有沒有覺得國道塞車問題越來越嚴重當然比我們過去的經驗來說車越來越多那你覺得為什麼塞車越來越多就是車越來越多嘛對不對車輛越來越多這是事實客觀的條件那我要跟你說其實國道現在恐怕不只是塞吧而且很危險對不對為什麼呢
transcript.whisperx[697].start 23828.166
transcript.whisperx[697].end 23834.736
transcript.whisperx[697].text 因為從2016年到2023年你知道國道事故的次數是增加還是減少?
transcript.whisperx[698].start 23837.374
transcript.whisperx[698].end 23857.272
transcript.whisperx[698].text 跟委員報告那有一段時間是有降然後後來在這兩年有點微升上來對就是趨勢是升的這兩年如果是有一點我就覺得你保守了點我來講個數字你看是不是叫有一點2016年的國道次數事故的次數是1764次你知道2023年是多少
transcript.whisperx[699].start 23863.385
transcript.whisperx[699].end 23868.732
transcript.whisperx[699].text 3,503次 漲幅將近要兩倍對於全國的事故數同期漲幅是1.32倍1,700變成是3,500漲了兩倍叫做有一點點嗎
transcript.whisperx[700].start 23882.892
transcript.whisperx[700].end 23904.421
transcript.whisperx[700].text 跟委員報告這裡面是屬於A2的事件你要跟我講西向分類講不完但我跟你講事實上你不能只挑對不對你覺得好像不高的數字來講但像這個國道的似乎次數總是政府統計出來精確的數字嘛也就是兩倍啊那請問部長嚴不嚴重
transcript.whisperx[701].start 23905.959
transcript.whisperx[701].end 23921.071
transcript.whisperx[701].text 如果是這個數字看起來是兩倍的話當然是嚴重不管是幾倍啦只要趨向嚴重或趨向數字更多我們都必須檢討當然啦傷亡數更可怕國道傷亡去年是多少人傷亡人數5828人那你知道2016年是多少人嗎
transcript.whisperx[702].start 23929.139
transcript.whisperx[702].end 23949.87
transcript.whisperx[702].text 那個是受傷的人數 受傷加傷亡嘛 傷加亡嘛 2016是2891 也是快到兩倍我想部長你一直講說你很在乎 那我想請問像這種問題 目前我們交通部的拿出來辦法是什麼 有什麼辦法先講原因啊 為什麼增加那麼多啊
transcript.whisperx[703].start 23957.098
transcript.whisperx[703].end 23977.023
transcript.whisperx[703].text 這幾年的話就是說分心駕駛的非常多那為什麼分心駕駛這麼多那以前就不分心現在比較分心現在手機用LINE的人手機用的比較多那我想請教有些調查的結果他自己都承認都是因為在分心或者是疲勞的時候
transcript.whisperx[704].start 23978.086
transcript.whisperx[704].end 23982.01
transcript.whisperx[704].text 數字只要是向上我們都必須要檢討那如果我們找出原因是因為用手機的人數多了的話或者是開車用手機我們還是要想辦法
transcript.whisperx[705].start 23998.047
transcript.whisperx[705].end 24008.179
transcript.whisperx[705].text 所以我們一直在宣導就是說不超速那那個不分心不疲勞駕駛然後要繫好安全帶大概就是三不一樣的部分要做好這樣才有辦法就確保那個安全駕駛
transcript.whisperx[706].start 24009.193
transcript.whisperx[706].end 24034.209
transcript.whisperx[706].text 總而言之這個數字我是希望交通部作為警惕那當然另外一個問題就是說根據交通部自己統計數字國道客運載客量2019年是8138萬人次的高峰到疫情後2022年降到4300萬人次2023年雖然回升到5209萬人次但是能遠低於疫情前的水平
transcript.whisperx[707].start 24035.009
transcript.whisperx[707].end 24058.451
transcript.whisperx[707].text 那面對國道客運大幅下滑的情況請問交通部有什麼樣的措施來協助業者度過這樣的難關報告委員他下滑是一個客觀確實發生的事情那幾個面向一方面或許對民眾來說搭乘高鐵或是搭乘台鐵便利性也蠻高的高鐵台鐵其實在8年前就有了
transcript.whisperx[708].start 24059.011
transcript.whisperx[708].end 24059.531
transcript.whisperx[708].text 接下來邀請洪孟楷委員
transcript.whisperx[709].start 24095.492
transcript.whisperx[709].end 24120.502
transcript.whisperx[709].text 主席謝謝麻煩請陳部長請陳部長好部長好部長本席過去到現在一直很關心我們的觀光產業是尤其是疫情那個時候飯店旅遊住宿觀光餐飲運輸本席都認為是說海嘯第一排是沒錯那疫情也過完了現在恢復今年
transcript.whisperx[710].start 24121.642
transcript.whisperx[710].end 24144.737
transcript.whisperx[710].text 今天早上你已經講了就確定1000萬的來台旅客人數跳票只剩4分之3750萬我們還是設定這樣的目標我說過前線同仁大家還是很努力我還是設定這樣的目標當然我沒有否定前線同仁的努力基本上觀光行業以及過去到現在我一直覺得是說我們同仁都很用心那但是現在750萬是一個可能的狀況嘛
transcript.whisperx[711].start 24149.66
transcript.whisperx[711].end 24169.508
transcript.whisperx[711].text 尤其今天有媒體也報導了就是說有可能有千萬旅客的逆差千萬旅客變成說台灣人都往外跑是不是應該目前還在評估應該不會這麼多啦不會到千萬嘛不會到千萬一千七百萬嘛沒有錯啊那這樣子就這樣子其實是強勁的啊
transcript.whisperx[712].start 24171.229
transcript.whisperx[712].end 24192.978
transcript.whisperx[712].text 沒關係部長說實在我們現在面臨到因為現在已經10月了嘛那我當然希望好但是我們現在在做一個檢討你說有可能是因為地震颱風軍演等相關的關係但我們看日本我們看其他我們鄰近的國家也有颱風也有地震可是為什麼他們的觀光是逆勢成長他們觀光比疫情之前還要好
transcript.whisperx[713].start 24195.653
transcript.whisperx[713].end 24220.93
transcript.whisperx[713].text 日本應該所有的臺灣人民都知道因為日本現在日幣很便宜大家都很愛去是包括我們自己都很愛去所以說對我們來講你覺得是現在匯率匯率臺灣的物價高因素很多這是其中之一來部長我給你一個機會你想一下你明年講還是講是說希望拿到千萬旅客人次本期一定樂觀其成但重點是怎麼做來今年750明年要變1000250萬怎麼來
transcript.whisperx[714].start 24223.735
transcript.whisperx[714].end 24246.551
transcript.whisperx[714].text 具體你的目標這個一千萬的這個來台數其實他是有一些策略跟方法然後我們是五大市場比如說這個五大市場我們私下都很多溝通的管道但我現在想請教原則上應該這麼說因為部長今天早上750嘛部長
transcript.whisperx[715].start 24251.135
transcript.whisperx[715].end 24264.453
transcript.whisperx[715].text 新人上任三把火對不對講一下嘛報告委員你自己覺得怎麼樣我明年250從哪邊來然後250是達的到的有沒有一個亮點可以讓大家覺得來
transcript.whisperx[716].start 24266.472
transcript.whisperx[716].end 24291.421
transcript.whisperx[716].text 我們這個航空業目前正在恢復當中恢復的過程當中其實旅客也會增加這是一方面那二方面其實更關鍵的是大家為什麼會喜歡來台灣玩台灣要有亮點所以我們現在針對亮點的部分正在努力當中那大家知道這次的地震當然其他地方也有地震但是對台灣來講太魯閣是一個很重要的觀光資源那這次很不幸地地震發生在東部那太魯閣確實受損了
transcript.whisperx[717].start 24292.901
transcript.whisperx[717].end 24295.404
transcript.whisperx[717].text 亮點有可能是環境也有可能是活動也有可能是各縣市的對不對好
transcript.whisperx[718].start 24311.48
transcript.whisperx[718].end 24334.446
transcript.whisperx[718].text 這就回到老命題其實我們各縣市有非常多的一些活動我覺得都是很有特色譬如說臺東有樂氣球新北有天燈節耶誕城新竹有風箏澎湖有花火那一樣嘛我們不希望是說集中在哪個月份我們希望是說平均如果是12月12個月每一個縣市每個月都可以有一個主題或代表是
transcript.whisperx[719].start 24335.446
transcript.whisperx[719].end 24361.009
transcript.whisperx[719].text 我就請教這樣子會不會更加的會讓大家覺得說整個臺灣很有趣每個月我來至少我都有一個縣市我就不會集中消費在某一個地方委員說的很正確我們應該要平均一點大家每一個月都能夠來所以第一個第二個就是說針對宣傳面我們有12個活動假設我們有12個月有12個活動宣傳也要讓國外的旅客知道所以我們可能比如說打出12大
transcript.whisperx[720].start 24362.435
transcript.whisperx[720].end 24387.307
transcript.whisperx[720].text 一月可以去哪個縣市二月去哪個縣市那請教部長腦海裡面你有沒有想到譬如十月我現在哪個縣市是可以去我們十一月開始就是馬上有一個記者會了就是我們的今年的十一月開始就是二十二個縣市啊去分工所以月月有亮點所以十一月的話是花蓮那元月是台中我看部長不需要你那麼保護啦來啦部長
transcript.whisperx[721].start 24390.676
transcript.whisperx[721].end 24398.587
transcript.whisperx[721].text 11月可以去哪個縣市11月阿以我個人來看11月台灣的每個縣市都很好玩
transcript.whisperx[722].start 24399.673
transcript.whisperx[722].end 24420.133
transcript.whisperx[722].text 那這樣不就又回到老話一句如果說大家都很好玩那就沒有亮點啊縣市都亮點那就是沒有亮點我們現在討論其實很務實的討論部長我沒有要挖洞給你跳我現在點出來這個問題因為這個就是過去到現在我一直在交通委員會有講的就是說我希望是讓全台灣都能有
transcript.whisperx[723].start 24420.413
transcript.whisperx[723].end 24435.611
transcript.whisperx[723].text 所以這也是為什麼我們有一個中央機關交通部下的觀光署當然我自己也覺得是過去觀光觀光舉報觀光署真的還不夠是天氣變涼台灣有很多的很好的溫泉的區域或許我們可以來發展溫泉的旅遊
transcript.whisperx[724].start 24436.472
transcript.whisperx[724].end 24453.961
transcript.whisperx[724].text 日本很多的溫泉旅遊台灣人很愛去但其實我們台灣有相當多很棒的溫泉景點這個部分或許可以列為11月或者12月冬天的時候可以用的月份所以部長我就麻煩了既然我們就已經有共識其實我沒有要偏後哪一個縣市因為只要台灣好只要旅客來台灣對我們來講都是賺我們
transcript.whisperx[725].start 24456.562
transcript.whisperx[725].end 24458.603
transcript.whisperx[725].text 關光旅遊住宿飯店餐飲運輸這都是我們國人可以獲得的
transcript.whisperx[726].start 24480.563
transcript.whisperx[726].end 24505.058
transcript.whisperx[726].text 所以我們列出來12個月我希望下一次你可以很侃侃而談你甚至如果說有機會出國的時候也可以跟國際友人介紹11月來台灣哪一個縣市什麼活動你一定要來非來不可12月新北耶誕城你一定要來因為這真的是已經被列入說是全世界十大的一個亮點所以你沒有來的話太可惜了
transcript.whisperx[727].start 24505.498
transcript.whisperx[727].end 24506.559
transcript.whisperx[727].text 李博弈委員
transcript.whisperx[728].start 24541.578
transcript.whisperx[728].end 24541.599
transcript.whisperx[728].text 請陳部長
transcript.whisperx[729].start 24551.394
transcript.whisperx[729].end 24573.819
transcript.whisperx[729].text 部長你好委員好11月你想去哪裡剛剛夢開委員講的我現在正式邀請你來11月來高雄好嗎高雄有沒有什麼比較好的溫泉或許我們可以去高雄高雄有溫泉我可以帶你去看在六龜而且現在復原中那有很多很值得去看的我來帶部長去看但是我也很想帶我一些國外的朋友來看
transcript.whisperx[730].start 24574.707
transcript.whisperx[730].end 24601.99
transcript.whisperx[730].text 那國外的朋友來其實高雄正在起飛這個全台灣都知道高雄因為台積電五個高階場進駐那接下來還有高雄目前為止有很多演唱會經濟有很多東南亞東北亞來的旅客其實他們透過轉機來透過轉機來的原因剛剛部長接受很多中部立委的這些考答那你也來自之中對
transcript.whisperx[731].start 24603.753
transcript.whisperx[731].end 24607.202
transcript.whisperx[731].text 為什麼台中的航線少那我要問你的是為什麼高雄
transcript.whisperx[732].start 24608.513
transcript.whisperx[732].end 24632.808
transcript.whisperx[732].text 到目前為止到疫情結束以後到航空業復甦到目前為止所有的中型以上的客機回不來其實很簡單臺中的委員他們認為說飛機壞了你先犧牲我臺中航線那高雄我認為疫情在復甦中還是民航所有包含
transcript.whisperx[733].start 24634.11
transcript.whisperx[733].end 24641.76
transcript.whisperx[733].text 華航還是把飛機放在桃園機場還是把中型飛機放在松山機場
transcript.whisperx[734].start 24643.286
transcript.whisperx[734].end 24670.901
transcript.whisperx[734].text 這些中型飛機並沒有回來小港機場其實還是調度的問題所以我在這邊要跟部長也做一個要求是要求南部需要運量南部需要養量南部正成為一個高科技包含半導體的中心南部需要中型航班準備對接美國直接飛美國
transcript.whisperx[735].start 24671.662
transcript.whisperx[735].end 24673.491
transcript.whisperx[735].text 那現在目前最新的消息在這個
transcript.whisperx[736].start 24678.186
transcript.whisperx[736].end 24705.708
transcript.whisperx[736].text 美國一個航空公司已經宣布美籍聯航已經宣布在準備來飛高雄東京他準備飛高雄東京其實下一步就是從東京再轉到比如說LA或者是舊金山那我們希望爭取的是在我們審核這條航線的時候直接要求包含雙走道的飛機A350或波音787以上的飛機
transcript.whisperx[737].start 24707.549
transcript.whisperx[737].end 24735.457
transcript.whisperx[737].text 讓這台飛機可以經由從小港的旅客可以飛到東京不用下飛機不用拖行李直接飛到美國這個是我們希望民航局可以做的希望部長可以責成的第二個這個不用之前的計畫說高雄國際機場要投入880億啦我跟你要飛機還沒跟你要880億因為先有飛機先有巨量880億跟這個航線沒有關係880億花下去大家才要感受第二個
transcript.whisperx[738].start 24736.317
transcript.whisperx[738].end 24737.825
transcript.whisperx[738].text 我在大院我在立法院
transcript.whisperx[739].start 24739.055
transcript.whisperx[739].end 24766.053
transcript.whisperx[739].text 在左院長旁邊質詢你高鐵的高雄計畫是這個高雄計畫不得了啊這個高雄計畫應該可能要超過一千億啊我在這裡也沒有要跟你爭取一千億我跟你爭取兩億就好了兩億讓左營高鐵站的月台可以直接下去這個我們的高雄捷運我剛才也碰到這個江耀宗董事長他也很認真啊他也馬上跟我說已經在前天去拜訪高雄市政府
transcript.whisperx[740].start 24766.693
transcript.whisperx[740].end 24787.025
transcript.whisperx[740].text 其實齁 董事長我跟你說齁 那個不是林青龍副市長的個性啦林青龍副市長如果聽到你跟他說 這個還要經過8個月的可行性評估 早就翻臉了那天對你很客氣 說好 先可行性評估 然後做細部設計在這邊我要建議部長 可不可以可行性評估加細部設計一起做
transcript.whisperx[741].start 24788.567
transcript.whisperx[741].end 24803.042
transcript.whisperx[741].text 簡短這個時辰這個可行的部分應該是可行的啦大家已經看這麼多次不管是市政府也好委員也好委員尤其特別關心這個議題也爭取了非常久那現在高鐵公司也很感謝願意做啦可行性
transcript.whisperx[742].start 24805.445
transcript.whisperx[742].end 24821.752
transcript.whisperx[742].text 讓部長講完就好我是覺得可行大家都已經討論過了那到底可不可行的基本設計我覺得可以直接做了我是希望建議台那個高鐵公司直接我們就進入基本的設計那設計的設計面如果不行的話我們再來討論好謝謝部長
transcript.whisperx[743].start 24823.873
transcript.whisperx[743].end 24846.85
transcript.whisperx[743].text 董事長我沒有時間第三個議題也是非常重要的就是高雄貫川三個醫學中心七所大學以及兩個科學園區的捷運子縣目前可行性評估謝謝交通部的補助已經送回到交通部接下來我們要努力在兩年內
transcript.whisperx[744].start 24847.591
transcript.whisperx[744].end 24848.051
transcript.whisperx[744].text 李博弈委員
transcript.whisperx[745].start 24866.63
transcript.whisperx[745].end 24889.685
transcript.whisperx[745].text 那接下來邀請黃珊珊委員黃珊珊委員黃珊珊委員黃珊珊委員不在現場接下來邀請傅坤祺委員傅坤祺委員傅坤祺委員傅坤祺委員不在現場接下來邀請麥玉珍委員麥玉珍委員麥玉珍委員麥玉珍委員不在現場接下來邀請顏寬恒委員顏寬恒委員顏寬恒委員顏寬恒委員不在現場
transcript.whisperx[746].start 24893.607
transcript.whisperx[746].end 24894.308
transcript.whisperx[746].text 王宏威委員陳穎委員
transcript.whisperx[747].start 24930.196
transcript.whisperx[747].end 24936.438
transcript.whisperx[747].text 我們先請那個交通部長請陳部長第一次到這裡質詢這裡陽剛氣好重部長好謝謝您的咖啡我想好的他這個可以讓你精神好一點我想先我們今天來討論一下這個花東交通的這個問題我想在今年其實我們有很多
transcript.whisperx[748].start 24958.587
transcript.whisperx[748].end 24979.066
transcript.whisperx[748].text 近幾年有很多天災啦不管是0403的地震也好還有最近很嚴重的颱風齁那甚至就是豪大雨等等那經常都造成我們的對還有一個就是前幾年發生的這些重大事故我想我剛剛舉的這些例子齁都是經常造成我們
transcript.whisperx[749].start 24981.648
transcript.whisperx[749].end 25001.321
transcript.whisperx[749].text 東部鐵公路中斷的一些重要原因當然每當這些事情發生的時候我們國內飛往花蓮台東的航班大家就趕快去坐飛機但是航班又很少時間也不是很理想所以再加上像近期的天災來講
transcript.whisperx[750].start 25003.142
transcript.whisperx[750].end 25031.185
transcript.whisperx[750].text 我們有就是說像這個蘇花公路它有這個坍塌問題還有我們沿路這個火車回來的時候往東部開其實它都還是有這個地質地質疏鬆還有這個土石流等等的這些問題所以會造成就是說即便我們火車很勉強的上路行駛了但是呢常常都因為有一些特殊狀況我們
transcript.whisperx[751].start 25032.426
transcript.whisperx[751].end 25059.354
transcript.whisperx[751].text 火車會務點我們都要停下來那當然對於民眾來講每次要回去這個回花東的路心裡都毛毛的所以我們會選擇從臺北要回臺東或花林我們會這樣就是選擇西部幹線然後又要繞南回回來其實最近是有相當多的人選擇這樣的方式特別剛好七八月到九月其實都還有我們原住民的這個重要的例行的祭典
transcript.whisperx[752].start 25060.174
transcript.whisperx[752].end 25087.774
transcript.whisperx[752].text 所以這個部分雖然很公平的這個票價計算方式都一樣但是我們回來的這段路卻多花了很長的這個時間還有金錢所以這個部分我不曉得交通部是不是有研議在這種重大的特殊狀況發生的時候有任何的配套措施以及補助來協助我們東部返鄉的民眾
transcript.whisperx[753].start 25089.128
transcript.whisperx[753].end 25115.229
transcript.whisperx[753].text 報告委員特殊的情況如果是道路中斷的部分我有報告過就是說我們有3個小時啟動的輸運的方案這個是輸運的部分但您剛剛在提的是特殊的祭典或者是特殊的活動的部分我們目前沒有做特殊的規劃但您剛剛在講的這個飛航的航班的部分確實現在航班比較少那委員也關心過很多次而且也比較貴很多
transcript.whisperx[754].start 25116.51
transcript.whisperx[754].end 25146.328
transcript.whisperx[754].text 是我們正在努力我覺得第一步我們一步一步來第一步先至少讓他禮拜一到禮拜天每一天都要有航班到花蓮的部分這個我們正在努力來做應該十月份這個月份應該就可以好我們會盡快來做讓他一到日都有航班往花蓮那台東的部分沒有問題那我知道委員在講的是說希望能夠對票價上面多做一些補貼那這個部分我們也來思考看看要怎麼做
transcript.whisperx[755].start 25146.408
transcript.whisperx[755].end 25147.369
transcript.whisperx[755].text 最近的颱風跟地震確實是造成大家的影響。
transcript.whisperx[756].start 25170.828
transcript.whisperx[756].end 25195.794
transcript.whisperx[756].text 那所以針對在因應這樣子的狀況的時候這個不是增加航班而已你增加航班對於我們很多的選民來講他負擔是重的你光來回就好幾千塊耶所以這個部分要請你們特別去研議那剩下一點時間我另外關心一下那個淘機的部分那這個淘機的部分呢
transcript.whisperx[757].start 25198.535
transcript.whisperx[757].end 25226.37
transcript.whisperx[757].text 這個其實我們有實地的去去勘查那因為像比如說以去年的新聞來說淘機的這個國際排名有連四年下滑從13名掉到82名但今年有稍微再往前了那其實其實在所有的檢討很多的原因裡面呢有一個很重要的關鍵就是在整個機場的服務工作我們是仰賴一群沒有經過完整禮儀教育訓練的保全
transcript.whisperx[758].start 25227.671
transcript.whisperx[758].end 25253.433
transcript.whisperx[758].text 我覺得機場它是國門那我們不管是國內的民眾要出國或者是國外的民眾要來台灣旅遊大家都是懷著一顆開心的心情但是光是今年我們實地這個觀察的結果就是去我看到的一個狀況在這個簡易的部分在裡面大家就一群這個
transcript.whisperx[759].start 25255.356
transcript.whisperx[759].end 25255.836
transcript.whisperx[759].text 這個態度上當然是不行的
transcript.whisperx[760].start 25283.73
transcript.whisperx[760].end 25294.922
transcript.whisperx[760].text 這是很誇張那我們站在就是已經要出關了那總要找一下家人打個電話在哪裡也過來你不可以站在這裡為什麼
transcript.whisperx[761].start 25296.209
transcript.whisperx[761].end 25319.763
transcript.whisperx[761].text 沒有講原因啊他說我為什麼不能站在這裡他說你站在這裡你就要被罰錢我說你恐嚇嗎這是你們在恐嚇民眾嗎就是這樣子的態度所以我覺得大家我說這樣子的保全的同仁是不是因為穿的那個制服感覺自己很像FBI就可以就可以這樣子去大吼大叫
transcript.whisperx[762].start 25320.583
transcript.whisperx[762].end 25338.729
transcript.whisperx[762].text 我覺得這樣的心態我是很不能接受那很多民眾也都來跟我們投訴好所以這個部分我想這個特別提出來不是穿了制服就很帥就很有威嚴這樣的態度我們一定會要求機場公司要去檢討我覺得其實董事長他很認真我必須要在這裡作證就是說
transcript.whisperx[763].start 25344.557
transcript.whisperx[763].end 25371.183
transcript.whisperx[763].text 我有反應給董事長他真的就自己換上便服然後再巡視看看到底哪裡有問題但是問題是如果董事長跟這個得標的公司怎麼講他們都不聽的話或者我不曉得這家公司有什麼問題他們這麼有辦法可以都標到這麼大的案子好幾億但是做出來的品質卻是給台灣扣分
transcript.whisperx[764].start 25372.933
transcript.whisperx[764].end 25391.552
transcript.whisperx[764].text 誰飆到我都沒有意見但是機場是台灣的門面他們的工作其實已經不是說要管人家而是服務的一環所以這個部分要拜託你們要好好的盯一下到這個教育訓練的部分
transcript.whisperx[765].start 25398.673
transcript.whisperx[765].end 25416.52
transcript.whisperx[765].text 我覺得教育訓練當然一定要加強還有你們可以參考一下這個我覺得農業部他很好他們我們反映之後檢疫的那個部分他們馬上就是如果有問題他們在這個履約上就是看要一定要罰扣一定的金額的價金
transcript.whisperx[766].start 25417.841
transcript.whisperx[766].end 25417.921
transcript.whisperx[766].text 委員會主席
transcript.whisperx[767].start 25435.083
transcript.whisperx[767].end 25438.925
transcript.whisperx[767].text 接下來邀請蔡易瑜委員蔡易瑜委員蔡易瑜委員蔡易瑜委員不在現場接下來邀請黃國昌委員
transcript.whisperx[768].start 25476.266
transcript.whisperx[768].end 25479.771
transcript.whisperx[768].text 謝謝主席:邀請陳部長、任務公室署長
transcript.whisperx[769].start 25494.243
transcript.whisperx[769].end 25503.53
transcript.whisperx[769].text 兩位好先請教一下署長觀光署升格週年我們花了269萬辦了一個觀光之夜飲福龍這場活動你有參加嗎
transcript.whisperx[770].start 25508.814
transcript.whisperx[770].end 25510.735
transcript.whisperx[770].text 我相信溫馨是很溫馨啊花了269萬
transcript.whisperx[771].start 25526.161
transcript.whisperx[771].end 25544.889
transcript.whisperx[771].text 效益如何我們的效益大概都分兩個部分那那個部分我們是跟當地的觀光圈做一些結合實際的費用我還在瞭解我們同時是按照採購法的方式來做處理是啊我沒有質疑你不是用採購法這個絕票金額269萬我已經幫你整理出來了嗎
transcript.whisperx[772].start 25548.833
transcript.whisperx[772].end 25573.007
transcript.whisperx[772].text 那269萬丟下去效益如何還是我們的觀光署很有錢辦活動不用評估效益的委員這個這一點可能誤會了所以我們辦任何的活動其實都還是做效益評估所以我才問你效益如何對效益評估的話我問了第三次我到現在還沒有聽到答案通常我們都是在季節年度的時候再做評估是
transcript.whisperx[773].start 25574.848
transcript.whisperx[773].end 25601.541
transcript.whisperx[773].text 這場我去了什麼時候評估報告會出來我們大概時間上結案大概都有兩個月的時間兩個月的時間我期待看這個結案報告我為什麼這樣講這個是那天的照片因為當你們發邀請函給我的時候我不太喜歡搞那種官樣文章
transcript.whisperx[774].start 25602.891
transcript.whisperx[774].end 25631.144
transcript.whisperx[774].text 去坐在那邊講個話好像很關心我非常不喜歡做這種事情沒有講話啦但我覺得錢花下去要有效果嘛結果你們辦在一個飯店裡辦在一個飯店裡外面真的被這個活動吸引來的人寥寥可數寥寥可數我相信辦活動的人很high啦長官也很high啦但
transcript.whisperx[775].start 25632.97
transcript.whisperx[775].end 25650.65
transcript.whisperx[775].text 我看完了以後我真的不知道這樣子的活動錢是不是有花在包購上是不是符合你們一開始在規劃這個活動的效益我真的看不懂所以我才請教你觀光署是不是預算太多
transcript.whisperx[776].start 25653.584
transcript.whisperx[776].end 25676.505
transcript.whisperx[776].text 本來是一個戶外那因為是颱風之後那個那個我們的所有的這個沙灘那邊還有非常多的漂流木也為了安全所以就移到室內他這時候的選擇也跟委員報告一下他有兩個一個就是停辦一個就是改成室內所以我想說人數的部分確實是沒有當時的預期了
transcript.whisperx[777].start 25678.666
transcript.whisperx[777].end 25705.4
transcript.whisperx[777].text 你看照片就知道了嘛你人也在現場嘛實際的部分我們再統計一下有啦是很嗨啊官員很嗨啊結果去的民眾各位沒多少花了269萬我期待看到你們的成果效益評估啊我算一算啊平均一個人花在一個人身上大概一萬多塊兩萬塊我看完了以後發現我們交通部很有錢啊
transcript.whisperx[778].start 25706.604
transcript.whisperx[778].end 25728.611
transcript.whisperx[778].text 觀光署很有錢錢這樣花的第二個問題再麻煩署長就是回去以後用書面告訴我這個經費編在哪一個預算科目向下這沒問題可以嗎因為我回來了以後我開始檢討這個活動編在哪一個預算科目向下
transcript.whisperx[779].start 25729.827
transcript.whisperx[779].end 25758.82
transcript.whisperx[779].text 我把今年的預算書不是今年要審明年的是去年已經審完今年的預算書我從頭到尾翻我看不到到底編在哪裡那這個資訊對我們來講很重要因為這個預算到底編在哪裡我們這個會期要審預算嘛這個會期既然要審預算那就要負責任的審啊秉持著我們卓榮泰院長所講的公帑不可以隨便浪費啊的精神
transcript.whisperx[780].start 25759.721
transcript.whisperx[780].end 25788.486
transcript.whisperx[780].text 但我們如果要負責任的做到這件事情那我第一件事情就要知道到底變在哪裡這樣子我們在審預算的時候才有一個依據那第二個事情可能你們在提出評估報告的時候順便稍微說明一下因為連卓榮泰院長自己都說了標案集中在特定的場上不是一件健康的事情特別是你們在辦這些活動的時候全部都是限制型的標案
transcript.whisperx[781].start 25789.625
transcript.whisperx[781].end 25803.846
transcript.whisperx[781].text 全部都是限制型的標案所以請署長看一下在這場活動的廠商我大概稍微整理了一下過去這四年限制型的標案觀光公署的部分拿到五千七百萬
transcript.whisperx[782].start 25805.257
transcript.whisperx[782].end 25820.775
transcript.whisperx[782].text 達到五千七百萬成效如何因為剛剛您說嘛每個活動辦完以後你們都會有成效評估嘛一樣拜託你一個禮拜之內把過去辦的這些活動的成效評估都送到我辦公室這樣可以嗎
transcript.whisperx[783].start 25823.669
transcript.whisperx[783].end 25845.099
transcript.whisperx[783].text 可以嗎 可以喔 好 謝謝你不好意思那最後時間的關係啦最後一個雖然後面沒其他委員不要耽誤太多的時間我想要請教部長一個問題就是說因為我覺得政治人物當地方爭取經費這真的是天經地義啦那我真的第一次看到一個公共工程委員會的主委
transcript.whisperx[784].start 25846.019
transcript.whisperx[784].end 25870.064
transcript.whisperx[784].text 在他的臉書上面自我宣傳說他幫宜蘭爭取預算宜蘭鐵路高架化地方配合款因為曾經得的努力所以本來105億現在下降到57.23億然後用地的取得跟基地的費用改由中央全額負擔當我看到一個政務官
transcript.whisperx[785].start 25870.964
transcript.whisperx[785].end 25874.805
transcript.whisperx[785].text 我們會有一套原則並且去評估地方的這個財務的狀況來做整體的討論所以有一個清楚的標準嗎
transcript.whisperx[786].start 25898.905
transcript.whisperx[786].end 25921.304
transcript.whisperx[786].text 原則上有一個清楚的標準不過也要看每一個地方的狀況不太一樣沒有關係我不要耽誤其他委員的時間第一個我需要知道您剛剛所講的原則是什麼第二個你一直強調原則代表例外嘛那例外的情況是什麼我要說的只有一件事
transcript.whisperx[787].start 25922.731
transcript.whisperx[787].end 25943.702
transcript.whisperx[787].text 在執政的時候在施政的時候就不要大小眼用一樣的標準我們地方建設不分藍綠嗎不會因為黨派而有所不同嗎宜蘭縣現在是國民黨在執政是我了解所以我才說中央不管如何用一樣的標準去做要不要看到一個政務官幫他
transcript.whisperx[788].start 25944.932
transcript.whisperx[788].end 25953.647
transcript.whisperx[788].text 就特定的縣市爭取預算自己在臉書上面自我宣傳這真的還是讓人覺得非常的驚奇啊可以嗎好謝謝好謝謝黃國昌委員
transcript.whisperx[789].start 25961.862
transcript.whisperx[789].end 25977.354
transcript.whisperx[789].text 臨戴化委員臨戴化委員臨戴化委員臨戴化委員臨戴化委員不在現場接下來邀請高金素美委員高金素美委員高金素美委員高金素美委員不在現場接下來邀請林一錦委員
transcript.whisperx[790].start 25978.375
transcript.whisperx[790].end 25999.776
transcript.whisperx[790].text 臨沂警委員臨沂警委員臨沂警委員不在現場張家俊委員張家俊委員張家俊委員張家俊委員不在現場蘇清泉委員蘇清泉委員蘇清泉委員蘇清泉委員不在現場鄭振前委員鄭振前委員鄭振前委員鄭振前委員不在現場林楚英委員
transcript.whisperx[791].start 26003.96
transcript.whisperx[791].end 26021.134
transcript.whisperx[791].text 臨儲營委員臨儲營委員臨儲營委員不在現場.接下來邀請鄭天才委員鄭天才委員鄭天才委員鄭天才委員不在現場.接下來邀請徐欣盈委員徐欣盈委員徐欣盈委員徐欣盈委員不在現場.接下來邀請邱志維委員
transcript.whisperx[792].start 26034.54
transcript.whisperx[792].end 26058.653
transcript.whisperx[792].text 好 謝謝主席也請陳部長請陳部長我來示範一下什麼叫5加1300秒的精準質詢5加1 4加1嗎我們都是300秒時間搞我就會停止質詢這個立法院不能說是在這邊委員會都有它的規定還能夠講到保我是不會啦
transcript.whisperx[793].start 26064.348
transcript.whisperx[793].end 26084.295
transcript.whisperx[793].text 謝謝部長 部長我之前跟你反映貨櫃車限重的問題會影響到南部金屬扣件螺絲葉子 增加他們成本當然是有過半跟沒過半的差別 但是直接衝擊就是他們的螺絲葉不僅清廉之道
transcript.whisperx[794].start 26085.447
transcript.whisperx[794].end 26100.565
transcript.whisperx[794].text 所以這種情況之下這個營運成本增加我想他們已經有點情緒有他們有透過很多管道來反映公務局的說法怎麼樣公務局最新的政策怎麼樣高公局來局長各位報告
transcript.whisperx[795].start 26105.592
transcript.whisperx[795].end 26107.033
transcript.whisperx[795].text 所以不會對他們造成這個漁運成本的增加
transcript.whisperx[796].start 26125.736
transcript.whisperx[796].end 26149.217
transcript.whisperx[796].text 對,就是他們現在表達的那個意見的部分應該是不會的你去跟他們座談一下吧我們會有同仁會去跟他們特別溝通我有特別要求高工局也好,公路局也好,跟業者要特別溝通跟螺絲公會去溝通,讓他們了解這個政府的政策不會影響到他們的經濟身份上漲那也要拜託委員幫忙促成這個溝通我已經開過很多協調會了那就是你們政策要支持的
transcript.whisperx[797].start 26150.658
transcript.whisperx[797].end 26178.529
transcript.whisperx[797].text 那另外這個各縣市都在爭取這個這個鐵路的立體化立體化大概縣說大概是這個高價化你如果是低價化這個成本增加很多所以每一個縣市都在爭取當然我已經提案要求到這個從橋頭從南直從左沿道橋頭這部分可行性研究正在評估那我希望在針鏈一樣到路竹為什麼
transcript.whisperx[798].start 26179.409
transcript.whisperx[798].end 26200.371
transcript.whisperx[798].text 因為未來岡山跟鹿竹就是S狼帶的核心那岡山加鹿竹有九處的平交道那當然會影響到這個競爭能力阿所以這部分我開兩次會三次會阿所以這個要完工阿大概要2041年2041年我差不多要八十歲了
transcript.whisperx[799].start 26203.491
transcript.whisperx[799].end 26225.164
transcript.whisperx[799].text 事實要2041年這個部分請部長能夠去了解一下每一個縣市條件不一樣你要優先順序要把它先抓出來報委員您交代我們一定會積極處理但現在是高雄市政府還沒有把可行性研究還沒啟動我說深列到岡山延長到岡山到鹿竹
transcript.whisperx[800].start 26225.944
transcript.whisperx[800].end 26232.188
transcript.whisperx[800].text 因為這個案子是從左營到橋頭在進行中針列一項到橋頭到岡山跟路竹還有一個問題就是
transcript.whisperx[801].start 26241.124
transcript.whisperx[801].end 26259.743
transcript.whisperx[801].text 跟民航局就是臺南機場到馬公當然航班有限大概最晚大概4點就結束了那這部分很多臺南市相信說我的選區已經北高雄嘛北高雄比方說自己人我們很多是要陪好人要回去
transcript.whisperx[802].start 26263.166
transcript.whisperx[802].end 26265.628
transcript.whisperx[802].text 臺鐵最近部長有沒有做過
transcript.whisperx[803].start 26283.321
transcript.whisperx[803].end 26309.386
transcript.whisperx[803].text 臺鐵有欸臺鐵有喔有有有當然有民眾反映喔臺鐵那個語言播報的順序當然你要這個用臺灣的這個國家語言發展的這個政策來看他播報有他的順序嘛像高鐵都是這個國語、臺語、客語再到這個英文那臺鐵是這個國語、英語然後再到臺語
transcript.whisperx[804].start 26310.865
transcript.whisperx[804].end 26312.386
transcript.whisperx[804].text 好我們來研究看怎麼樣來修正
transcript.whisperx[805].start 26340.947
transcript.whisperx[805].end 26341.107
transcript.whisperx[805].text 假車牌的問題
transcript.whisperx[806].start 26361.36
transcript.whisperx[806].end 26374.225
transcript.whisperx[806].text 假設擺問題這個交通部應該更了解一下另外臺61就是南延到高雄這部分目前在可行性研究可行性評估當中那什麼時候送證院
transcript.whisperx[807].start 26375.492
transcript.whisperx[807].end 26375.612
transcript.whisperx[807].text 謝謝邱志偉委員質詢
transcript.whisperx[808].start 26403.372
transcript.whisperx[808].end 26427.017
transcript.whisperx[808].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委員尤浩、麥玉珍、林怡瑾、劉建國、王宏威、傅坑祺委員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交通部盡速以書面答覆本次會議到此結束現在散會
transcript.whisperx[809].start 26432.153
transcript.whisperx[809].end 26433.274
transcript.whisperx[809].text 法定人數不足
transcript.whisperx[810].start 26448.08
transcript.whisperx[810].end 26463.114
transcript.whisperx[810].text 議員會議員會議員會議
會議時間 2024-10-16T09:00:00+08:00
會議名稱 立法院第11屆第2會期交通委員會第6次全體委員會議(事由:邀請交通部部長陳世凱列席報告業務概況,並備質詢。)
委員發言時間 08:30:02 - 15:51:00
IVOD_ID 16174
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16174
日期 2024-10-16
會議資料.會議代碼 委員會-11-2-23-6
會議資料.屆 11
會議資料.會期 2
會議資料.會次 6
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6次全體委員會議
影片種類 Full
開始時間 2024-10-16T08:30:02+08:00
結束時間 2024-10-16T15:51:00+08:00
支援功能[0] ai-transcript